From 38c6fd7478c2ca4ff41dc50cab5a7657ef288062 Mon Sep 17 00:00:00 2001 From: "penify-dev[bot]" <146478655+penify-dev[bot]@users.noreply.github.com> Date: Fri, 20 Dec 2024 04:57:44 +0000 Subject: [PATCH 01/10] penify/config_ea5d7 master --- .../workflows/snorkell-auto-documentation.yml | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) create mode 100644 .github/workflows/snorkell-auto-documentation.yml diff --git a/.github/workflows/snorkell-auto-documentation.yml b/.github/workflows/snorkell-auto-documentation.yml new file mode 100644 index 0000000..34c752f --- /dev/null +++ b/.github/workflows/snorkell-auto-documentation.yml @@ -0,0 +1,19 @@ +# This workflow will improvise current file with AI genereated documentation and Create new PR + +name: Penify - Revolutionizing Documentation on GitHub + +on: + push: + branches: ["master"] + workflow_dispatch: + +jobs: + Documentation: + runs-on: ubuntu-latest + steps: + - name: Penify DocGen Client + uses: SingularityX-ai/snorkell-documentation-client@v1.0.0 + with: + client_id: ${{ secrets.SNORKELL_CLIENT_ID }} + api_key: ${{ secrets.SNORKELL_API_KEY }} + branch_name: "master" \ No newline at end of file From 1d549870b379b821dc44149e7aaeb0f5821b85e0 Mon Sep 17 00:00:00 2001 From: dbigman Date: Sun, 22 Dec 2024 14:42:25 -0400 Subject: [PATCH 02/10] adding gitignore --- .gitignore | 174 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 174 insertions(+) create mode 100644 .gitignore diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..823c84d --- /dev/null +++ b/.gitignore @@ -0,0 +1,174 @@ +# Ignore CSV files +*.csv + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# UV +# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +#uv.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/latest/usage/project/#working-with-version-control +.pdm.toml +.pdm-python +.pdm-build/ + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +# PyPI configuration file +.pypirc \ No newline at end of file From 85ca2bb24ee6e0218e072e85a12032322aeea7fc Mon Sep 17 00:00:00 2001 From: dbigman Date: Sun, 22 Dec 2024 14:45:00 -0400 Subject: [PATCH 03/10] update gitignore --- .gitignore | 174 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 174 insertions(+) diff --git a/.gitignore b/.gitignore index 823c84d..2e12ce6 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,176 @@ +<<<<<<< HEAD +# Ignore CSV files +*.csv + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# UV +# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +#uv.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/latest/usage/project/#working-with-version-control +.pdm.toml +.pdm-python +.pdm-build/ + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +# PyPI configuration file +======= # Ignore CSV files *.csv @@ -171,4 +344,5 @@ cython_debug/ #.idea/ # PyPI configuration file +>>>>>>> b5fcc99ab308e7a1f3af1c467fbb9b3ce8383134 .pypirc \ No newline at end of file From 84351d0ec1ce007dcd79d6df687428c21cfaf21f Mon Sep 17 00:00:00 2001 From: dbigman Date: Mon, 23 Dec 2024 07:48:11 -0400 Subject: [PATCH 04/10] Delete .gitignore --- .gitignore | 348 ----------------------------------------------------- 1 file changed, 348 deletions(-) delete mode 100644 .gitignore diff --git a/.gitignore b/.gitignore deleted file mode 100644 index 2e12ce6..0000000 --- a/.gitignore +++ /dev/null @@ -1,348 +0,0 @@ -<<<<<<< HEAD -# Ignore CSV files -*.csv - -# Byte-compiled / optimized / DLL files -__pycache__/ -*.py[cod] -*$py.class - -# C extensions -*.so - -# Distribution / packaging -.Python -build/ -develop-eggs/ -dist/ -downloads/ -eggs/ -.eggs/ -lib/ -lib64/ -parts/ -sdist/ -var/ -wheels/ -share/python-wheels/ -*.egg-info/ -.installed.cfg -*.egg -MANIFEST - -# PyInstaller -# Usually these files are written by a python script from a template -# before PyInstaller builds the exe, so as to inject date/other infos into it. -*.manifest -*.spec - -# Installer logs -pip-log.txt -pip-delete-this-directory.txt - -# Unit test / coverage reports -htmlcov/ -.tox/ -.nox/ -.coverage -.coverage.* -.cache -nosetests.xml -coverage.xml -*.cover -*.py,cover -.hypothesis/ -.pytest_cache/ -cover/ - -# Translations -*.mo -*.pot - -# Django stuff: -*.log -local_settings.py -db.sqlite3 -db.sqlite3-journal - -# Flask stuff: -instance/ -.webassets-cache - -# Scrapy stuff: -.scrapy - -# Sphinx documentation -docs/_build/ - -# PyBuilder -.pybuilder/ -target/ - - -# IPython -profile_default/ -ipython_config.py - -# pyenv -# For a library or package, you might want to ignore these files since the code is -# intended to run in multiple environments; otherwise, check them in: -# .python-version - -# pipenv -# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. -# However, in case of collaboration, if having platform-specific dependencies or dependencies -# having no cross-platform support, pipenv may install dependencies that don't work, or not -# install all needed dependencies. -#Pipfile.lock - -# UV -# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. -# This is especially recommended for binary packages to ensure reproducibility, and is more -# commonly ignored for libraries. -#uv.lock - -# poetry -# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. -# This is especially recommended for binary packages to ensure reproducibility, and is more -# commonly ignored for libraries. -# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control -#poetry.lock - -# pdm -# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. -#pdm.lock -# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it -# in version control. -# https://pdm.fming.dev/latest/usage/project/#working-with-version-control -.pdm.toml -.pdm-python -.pdm-build/ - -# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm -__pypackages__/ - -# Celery stuff -celerybeat-schedule -celerybeat.pid - -# SageMath parsed files -*.sage.py - -# Environments -.env -.venv -env/ -venv/ -ENV/ -env.bak/ -venv.bak/ - -# Spyder project settings -.spyderproject -.spyproject - -# Rope project settings -.ropeproject - -# mkdocs documentation -/site - -# mypy -.mypy_cache/ -.dmypy.json -dmypy.json - -# Pyre type checker -.pyre/ - -# pytype static type analyzer -.pytype/ - -# Cython debug symbols -cython_debug/ - -# PyCharm -# JetBrains specific template is maintained in a separate JetBrains.gitignore that can -# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore -# and can be added to the global gitignore or merged into this file. For a more nuclear -# option (not recommended) you can uncomment the following to ignore the entire idea folder. -#.idea/ - -# PyPI configuration file -======= -# Ignore CSV files -*.csv - -# Byte-compiled / optimized / DLL files -__pycache__/ -*.py[cod] -*$py.class - -# C extensions -*.so - -# Distribution / packaging -.Python -build/ -develop-eggs/ -dist/ -downloads/ -eggs/ -.eggs/ -lib/ -lib64/ -parts/ -sdist/ -var/ -wheels/ -share/python-wheels/ -*.egg-info/ -.installed.cfg -*.egg -MANIFEST - -# PyInstaller -# Usually these files are written by a python script from a template -# before PyInstaller builds the exe, so as to inject date/other infos into it. -*.manifest -*.spec - -# Installer logs -pip-log.txt -pip-delete-this-directory.txt - -# Unit test / coverage reports -htmlcov/ -.tox/ -.nox/ -.coverage -.coverage.* -.cache -nosetests.xml -coverage.xml -*.cover -*.py,cover -.hypothesis/ -.pytest_cache/ -cover/ - -# Translations -*.mo -*.pot - -# Django stuff: -*.log -local_settings.py -db.sqlite3 -db.sqlite3-journal - -# Flask stuff: -instance/ -.webassets-cache - -# Scrapy stuff: -.scrapy - -# Sphinx documentation -docs/_build/ - -# PyBuilder -.pybuilder/ -target/ - -# Jupyter Notebook -.ipynb_checkpoints - -# IPython -profile_default/ -ipython_config.py - -# pyenv -# For a library or package, you might want to ignore these files since the code is -# intended to run in multiple environments; otherwise, check them in: -# .python-version - -# pipenv -# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. -# However, in case of collaboration, if having platform-specific dependencies or dependencies -# having no cross-platform support, pipenv may install dependencies that don't work, or not -# install all needed dependencies. -#Pipfile.lock - -# UV -# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. -# This is especially recommended for binary packages to ensure reproducibility, and is more -# commonly ignored for libraries. -#uv.lock - -# poetry -# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. -# This is especially recommended for binary packages to ensure reproducibility, and is more -# commonly ignored for libraries. -# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control -#poetry.lock - -# pdm -# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. -#pdm.lock -# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it -# in version control. -# https://pdm.fming.dev/latest/usage/project/#working-with-version-control -.pdm.toml -.pdm-python -.pdm-build/ - -# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm -__pypackages__/ - -# Celery stuff -celerybeat-schedule -celerybeat.pid - -# SageMath parsed files -*.sage.py - -# Environments -.env -.venv -env/ -venv/ -ENV/ -env.bak/ -venv.bak/ - -# Spyder project settings -.spyderproject -.spyproject - -# Rope project settings -.ropeproject - -# mkdocs documentation -/site - -# mypy -.mypy_cache/ -.dmypy.json -dmypy.json - -# Pyre type checker -.pyre/ - -# pytype static type analyzer -.pytype/ - -# Cython debug symbols -cython_debug/ - -# PyCharm -# JetBrains specific template is maintained in a separate JetBrains.gitignore that can -# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore -# and can be added to the global gitignore or merged into this file. For a more nuclear -# option (not recommended) you can uncomment the following to ignore the entire idea folder. -#.idea/ - -# PyPI configuration file ->>>>>>> b5fcc99ab308e7a1f3af1c467fbb9b3ce8383134 -.pypirc \ No newline at end of file From fda64ada20ef6e8d665c06b767fb016a8b54edb1 Mon Sep 17 00:00:00 2001 From: dbigman Date: Mon, 23 Dec 2024 07:51:38 -0400 Subject: [PATCH 05/10] uploaded manually --- Business Challenge EDA and SQL.ipynb | 925 + Business Challenge EDA and SQL_WHO.ipynb | 1191 ++ GlobalHealth.docx | Bin 0 -> 20975 bytes GlobalHealth.sql | 29 + GlobalHealth.xlsx | Bin 0 -> 11274 bytes README.md | 90 +- Untitled.png | Bin 0 -> 48293 bytes WHO_database.sql | 32 + database_definitions.md | 24 + df_healtstatistics_sample.csv | 19992 +++++++++++++++++++++ df_question1.csv | 101 + global_health_observatory_download | 58 + project-2-eda-sql.code-workspace | 8 + seeding_GlobalHealth.sql | 14 + top_diseases.csv | 6 + 15 files changed, 22425 insertions(+), 45 deletions(-) create mode 100644 Business Challenge EDA and SQL.ipynb create mode 100644 Business Challenge EDA and SQL_WHO.ipynb create mode 100644 GlobalHealth.docx create mode 100644 GlobalHealth.sql create mode 100644 GlobalHealth.xlsx create mode 100644 Untitled.png create mode 100644 WHO_database.sql create mode 100644 database_definitions.md create mode 100644 df_healtstatistics_sample.csv create mode 100644 df_question1.csv create mode 100644 global_health_observatory_download create mode 100644 project-2-eda-sql.code-workspace create mode 100644 seeding_GlobalHealth.sql create mode 100644 top_diseases.csv diff --git a/Business Challenge EDA and SQL.ipynb b/Business Challenge EDA and SQL.ipynb new file mode 100644 index 0000000..0ba478f --- /dev/null +++ b/Business Challenge EDA and SQL.ipynb @@ -0,0 +1,925 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Business Challenge: EDA and SQL\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "| **Attribute** | **Description** |\n", + "|----------------------------------|---------------------------------------------------------------------------------------------------|\n", + "| **Country** | The name of the country where the health data was recorded. |\n", + "| **Year** | The year in which the data was collected. |\n", + "| **Disease Name** | The name of the disease or health condition tracked. |\n", + "| **Disease Category** | The category of the disease (e.g., Infectious, Non-Communicable). |\n", + "| **Prevalence Rate (%)** | The percentage of the population affected by the disease. |\n", + "| **Incidence Rate (%)** | The percentage of new or newly diagnosed cases. |\n", + "| **Mortality Rate (%)** | The percentage of the affected population that dies from the disease. |\n", + "| **Age Group** | The age range most affected by the disease. |\n", + "| **Gender** | The gender(s) affected by the disease (Male, Female, Both). |\n", + "| **Population Affected** | The total number of individuals affected by the disease. |\n", + "| **Healthcare Access (%)** | The percentage of the population with access to healthcare. |\n", + "| **Doctors per 1000** | The number of doctors per 1000 people. |\n", + "| **Hospital Beds per 1000** | The number of hospital beds available per 1000 people. |\n", + "| **Treatment Type** | The primary treatment method for the disease (e.g., Medication, Surgery). |\n", + "| **Average Treatment Cost (USD)** | The average cost of treating the disease in USD. |\n", + "| **Availability of Vaccines/Treatment** | Whether vaccines or treatments are available. |\n", + "| **Recovery Rate (%)** | The percentage of people who recover from the disease. |\n", + "| **DALYs** | Disability-Adjusted Life Years, a measure of disease burden. |\n", + "| **Improvement in 5 Years (%)** | The improvement in disease outcomes over the last five years. |\n", + "| **Per Capita Income (USD)** | The average income per person in the country. |\n", + "| **Education Index** | The average level of education in the country. |\n", + "| **Urbanization Rate (%)** | The percentage of the population living in urban areas. |\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total number of rows: 1000003\n", + "Detected Encoding: ascii\n" + ] + } + ], + "source": [ + "import csv\n", + "import chardet\n", + "\n", + "file_path = \"Global Health Statistics.csv\"\n", + "\n", + "# count numer of rows\n", + "with open(file_path, 'r', encoding='utf-8') as file:\n", + " reader = csv.reader(file)\n", + " row_count = sum(1 for row in reader)\n", + "\n", + "# show encoding\n", + "with open(file_path, 'rb') as file:\n", + " raw_data = file.read()\n", + " result = chardet.detect(raw_data)\n", + " encoding = result['encoding']\n", + "\n", + "print(f\"Total number of rows: {row_count}\")\n", + "print(f\"Detected Encoding: {encoding}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "File successfully split into 11 chunks.\n" + ] + } + ], + "source": [ + "import csv\n", + "import chardet\n", + "\n", + "# The original dataset is taking too long to insert, so I split into 10 chunks. \n", + "\n", + "input_file = \"Global Health Statistics.csv\"\n", + "num_chunks = 10 # Number of chunks to split the file into\n", + "\n", + "# Detect encoding of the file\n", + "with open(input_file, 'rb') as file:\n", + " raw_data = file.read()\n", + " result = chardet.detect(raw_data)\n", + " encoding = result['encoding']\n", + "\n", + "# Count total rows in the file\n", + "with open(input_file, 'r', encoding=encoding) as infile:\n", + " total_rows = sum(1 for _ in infile) - 1 # Subtract 1 for the header row\n", + "\n", + "# Calculate rows per chunk\n", + "rows_per_chunk = total_rows // num_chunks\n", + "remainder = total_rows % num_chunks # Handle any leftover rows\n", + "\n", + "# Split the file into chunks\n", + "with open(input_file, 'r', encoding=encoding) as infile:\n", + " reader = csv.reader(infile)\n", + " header = next(reader) # Save the header row\n", + "\n", + " chunk_number = 1\n", + " rows = []\n", + "\n", + " for i, row in enumerate(reader, start=1):\n", + " rows.append(row)\n", + " if len(rows) == rows_per_chunk + (1 if remainder > 0 else 0): # Add 1 row for chunks with remainder\n", + " output_file = f\"chunk_{chunk_number}.csv\"\n", + " with open(output_file, 'w', encoding='utf-8', newline='') as outfile:\n", + " writer = csv.writer(outfile)\n", + " writer.writerow(header) # Write the header\n", + " writer.writerows(rows)\n", + " chunk_number += 1\n", + " rows = [] # Clear the list for the next chunk\n", + " if remainder > 0:\n", + " remainder -= 1 # Decrease the remainder for the next chunk\n", + "\n", + " # Write the remaining rows\n", + " if rows:\n", + " output_file = f\"chunk_{chunk_number}.csv\"\n", + " with open(output_file, 'w', encoding='utf-8', newline='') as outfile:\n", + " writer = csv.writer(outfile)\n", + " writer.writerow(header)\n", + " writer.writerows(rows)\n", + "\n", + "print(f\"File successfully split into {chunk_number} chunks.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Connected to the GlobalHealth database successfully!\n" + ] + } + ], + "source": [ + "import pymysql\n", + "import pandas as pd\n", + "\n", + "# Database connection settings\n", + "host = \"localhost\" # Replace with your host, e.g., 127.0.0.1 or a server address\n", + "user = \"root\" # Replace with your MySQL username\n", + "password = \"Malcomx1\" # Replace with your MySQL password\n", + "database = \"GlobalHealth\" # Replace with your database name\n", + "\n", + "# Establish the connection\n", + "connection = pymysql.connect(\n", + " host=host,\n", + " user=user,\n", + " password=password,\n", + " database=database\n", + ")\n", + "\n", + "print(f\"Connected to the {database} database successfully!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " id Country Year DiseaseName DiseaseCategory \\\n", + "0 1 Italy 2013 Malaria Respiratory \n", + "1 2 France 2002 Ebola Parasitic \n", + "2 3 Turkey 2015 COVID-19 Genetic \n", + "3 4 Indonesia 2011 Parkinson's Disease Autoimmune \n", + "4 5 Italy 2013 Tuberculosis Genetic \n", + "5 6 Saudi Arabia 2011 Dengue Bacterial \n", + "6 7 USA 2013 Malaria Cardiovascular \n", + "7 8 Nigeria 2007 Tuberculosis Neurological \n", + "8 9 Italy 2000 Rabies Chronic \n", + "9 10 Australia 2006 Cholera Chronic \n", + "\n", + " PrevalenceRate IncidenceRate MortalityRate AgeGroup Gender ... \\\n", + "0 0.95 1.55 8.42 0-18 Male ... \n", + "1 12.46 8.63 8.75 61+ Male ... \n", + "2 0.91 2.35 6.22 36-60 Male ... \n", + "3 4.68 6.29 3.99 0-18 Other ... \n", + "4 0.83 13.59 7.01 61+ Male ... \n", + "5 10.99 6.49 4.64 61+ Female ... \n", + "6 18.42 6.33 9.33 61+ Female ... \n", + "7 3.48 5.71 1.21 0-18 Female ... \n", + "8 15.59 4.74 6.38 19-35 Female ... \n", + "9 10.12 2.08 6.00 61+ Male ... \n", + "\n", + " HospitalBedsPer1000 TreatmentType AverageTreatmentCost \\\n", + "0 7.58 Medication 21064.0 \n", + "1 5.11 Surgery 47851.0 \n", + "2 3.49 Vaccination 27834.0 \n", + "3 8.44 Surgery 144.0 \n", + "4 5.90 Medication 8908.0 \n", + "5 0.62 Therapy 42671.0 \n", + "6 3.31 Surgery 15579.0 \n", + "7 3.54 Medication 15744.0 \n", + "8 5.84 Therapy 7669.0 \n", + "9 6.01 Medication 9468.0 \n", + "\n", + " AvailabilityOfVaccinesTreatment RecoveryRate DALYs ImprovementIn5Years \\\n", + "0 No 91.82 4493.0 2.16 \n", + "1 Yes 76.65 2366.0 4.82 \n", + "2 Yes 98.55 41.0 5.81 \n", + "3 Yes 67.35 3201.0 2.22 \n", + "4 Yes 50.06 2832.0 6.93 \n", + "5 Yes 93.17 416.0 9.83 \n", + "6 No 92.80 4535.0 0.89 \n", + "7 Yes 65.45 4584.0 9.81 \n", + "8 Yes 59.23 2253.0 9.92 \n", + "9 Yes 93.21 4694.0 2.96 \n", + "\n", + " PerCapitaIncome EducationIndex UrbanizationRate \n", + "0 16886.0 0.79 86.02 \n", + "1 80639.0 0.74 45.52 \n", + "2 12245.0 0.41 40.20 \n", + "3 49336.0 0.49 58.47 \n", + "4 47701.0 0.50 48.14 \n", + "5 29597.0 0.46 56.50 \n", + "6 60027.0 0.70 20.48 \n", + "7 23222.0 0.46 66.49 \n", + "8 30849.0 0.55 41.27 \n", + "9 68856.0 0.90 83.30 \n", + "\n", + "[10 rows x 23 columns]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\2624090142.py:5: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df = pd.read_sql(query, connection)\n" + ] + } + ], + "source": [ + "# Example query\n", + "query = \"SELECT * FROM HealthStatistics LIMIT 10;\"\n", + "\n", + "# Execute the query and load the data into a DataFrame\n", + "df = pd.read_sql(query, connection)\n", + "\n", + "# Display the DataFrame\n", + "print(df)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " id Country Year DiseaseName DiseaseCategory PrevalenceRate \\\n", + "0 105 Australia 2020 Malaria Genetic 12.89 \n", + "1 486 Nigeria 2020 Malaria Bacterial 18.91 \n", + "2 1200 China 2020 Malaria Neurological 7.81 \n", + "3 1325 Argentina 2020 Malaria Autoimmune 2.21 \n", + "4 1544 Australia 2020 Malaria Metabolic 1.60 \n", + ".. ... ... ... ... ... ... \n", + "196 99253 South Africa 2020 Malaria Respiratory 9.22 \n", + "197 99350 Turkey 2020 Malaria Bacterial 7.57 \n", + "198 99402 India 2020 Malaria Metabolic 13.16 \n", + "199 99406 Mexico 2020 Malaria Genetic 1.28 \n", + "200 99475 Indonesia 2020 Malaria Metabolic 15.20 \n", + "\n", + " IncidenceRate MortalityRate AgeGroup Gender ... HospitalBedsPer1000 \\\n", + "0 12.34 1.52 36-60 Other ... 5.35 \n", + "1 13.31 1.37 61+ Female ... 7.57 \n", + "2 2.24 8.67 61+ Female ... 2.86 \n", + "3 10.05 7.41 19-35 Other ... 2.04 \n", + "4 0.84 5.24 19-35 Male ... 7.22 \n", + ".. ... ... ... ... ... ... \n", + "196 13.76 9.81 19-35 Male ... 5.95 \n", + "197 10.89 6.23 0-18 Other ... 9.79 \n", + "198 4.00 6.32 61+ Other ... 9.47 \n", + "199 13.18 1.02 61+ Other ... 9.76 \n", + "200 3.84 0.54 36-60 Female ... 7.74 \n", + "\n", + " TreatmentType AverageTreatmentCost AvailabilityOfVaccinesTreatment \\\n", + "0 Medication 9153.0 Yes \n", + "1 Vaccination 40849.0 No \n", + "2 Surgery 29742.0 No \n", + "3 Medication 25557.0 No \n", + "4 Vaccination 14504.0 Yes \n", + ".. ... ... ... \n", + "196 Surgery 13942.0 No \n", + "197 Therapy 18890.0 Yes \n", + "198 Therapy 22365.0 Yes \n", + "199 Surgery 22522.0 Yes \n", + "200 Therapy 27101.0 No \n", + "\n", + " RecoveryRate DALYs ImprovementIn5Years PerCapitaIncome EducationIndex \\\n", + "0 85.70 3411.0 1.03 13201.0 0.62 \n", + "1 56.59 4604.0 0.13 35250.0 0.89 \n", + "2 55.98 1288.0 8.50 5954.0 0.83 \n", + "3 77.72 4074.0 7.04 99936.0 0.54 \n", + "4 67.36 391.0 9.61 24293.0 0.81 \n", + ".. ... ... ... ... ... \n", + "196 97.84 2531.0 6.81 84482.0 0.67 \n", + "197 67.85 4101.0 4.88 39904.0 0.59 \n", + "198 81.07 105.0 6.68 67995.0 0.67 \n", + "199 65.91 4689.0 0.86 31437.0 0.44 \n", + "200 78.98 4520.0 0.86 59791.0 0.74 \n", + "\n", + " UrbanizationRate \n", + "0 34.93 \n", + "1 35.01 \n", + "2 85.54 \n", + "3 31.58 \n", + "4 41.08 \n", + ".. ... \n", + "196 46.73 \n", + "197 21.95 \n", + "198 38.27 \n", + "199 54.71 \n", + "200 89.86 \n", + "\n", + "[201 rows x 23 columns]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1969881993.py:6: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_filtered = pd.read_sql(query, connection)\n" + ] + } + ], + "source": [ + "query = \"\"\"\n", + "SELECT *\n", + "FROM HealthStatistics\n", + "WHERE Year = 2020 AND DiseaseName = 'Malaria';\n", + "\"\"\"\n", + "df_filtered = pd.read_sql(query, connection)\n", + "print(df_filtered)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data retrieved successfully!\n", + "\n", + "Top Infectious Diseases by Prevalence:\n", + " Avg_Prevalence Total_Prevalence\n", + "DiseaseName \n", + "COVID-19 10.374332 4502.46\n", + "Parkinson's Disease 10.153948 4680.97\n", + "Dengue 10.132601 4519.14\n", + "Tuberculosis 10.105828 4699.21\n", + "Cholera 10.101814 4343.78\n", + "Diabetes 10.091485 4823.73\n", + "Influenza 10.083030 4991.10\n", + "Ebola 10.028004 5224.59\n", + "Zika 9.962931 4622.80\n", + "Malaria 9.956765 4739.42\n", + "\n", + "Change in Prevalence Rates Over the Last 5 Years:\n", + " Initial_Prevalence Latest_Prevalence \\\n", + "DiseaseName \n", + "Tuberculosis 1.03 19.07 \n", + "Measles 2.01 16.75 \n", + "Leprosy 1.88 16.31 \n", + "Cancer 2.40 12.44 \n", + "HIV/AIDS 7.35 16.87 \n", + "Parkinson's Disease 4.34 13.52 \n", + "Rabies 1.03 10.09 \n", + "COVID-19 0.91 7.73 \n", + "Diabetes 9.08 15.72 \n", + "Influenza 0.19 6.80 \n", + "\n", + " Change_in_Prevalence \n", + "DiseaseName \n", + "Tuberculosis 18.04 \n", + "Measles 14.74 \n", + "Leprosy 14.43 \n", + "Cancer 10.04 \n", + "HIV/AIDS 9.52 \n", + "Parkinson's Disease 9.18 \n", + "Rabies 9.06 \n", + "COVID-19 6.82 \n", + "Diabetes 6.64 \n", + "Influenza 6.61 \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1322985517.py:25: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df = pd.read_sql(query, connection)\n" + ] + } + ], + "source": [ + "# Question 1:\n", + "# Which infectious diseases have the highest prevalence rates globally, and how have these rates changed over the past 5 years?\n", + "\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "\n", + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " DiseaseCategory,\n", + " Year,\n", + " `PrevalenceRate`,\n", + " `ImprovementIn5Years`\n", + "FROM\n", + " HealthStatistics\n", + "WHERE\n", + " DiseaseCategory = 'Infectious'\n", + "ORDER BY\n", + " Year DESC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a pandas DataFrame\n", + "df = pd.read_sql(query, connection)\n", + "\n", + "# Close the database connection\n", + "# connection.close()\n", + "\n", + "# Analyze the data\n", + "print(\"Data retrieved successfully!\")\n", + "\n", + "# Group data to find the highest average prevalence rates globally\n", + "highest_prevalence = (\n", + " df.groupby(\"DiseaseName\")\n", + " .agg(\n", + " Avg_Prevalence=(\"PrevalenceRate\", \"mean\"),\n", + " Total_Prevalence=(\"PrevalenceRate\", \"sum\")\n", + " )\n", + " .sort_values(by=\"Avg_Prevalence\", ascending=False)\n", + ")\n", + "\n", + "# Analyze the change in prevalence rates over the last 5 years\n", + "recent_years = df[df['Year'] >= df['Year'].max() - 5]\n", + "\n", + "prevalence_change = (\n", + " recent_years.groupby(\"DiseaseName\")\n", + " .agg(\n", + " Initial_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[0]),\n", + " Latest_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[-1])\n", + " )\n", + " .assign(Change_in_Prevalence=lambda x: x[\"Latest_Prevalence\"] - x[\"Initial_Prevalence\"])\n", + " .sort_values(by=\"Change_in_Prevalence\", ascending=False)\n", + ")\n", + "\n", + "# Merge both results\n", + "result = highest_prevalence.merge(prevalence_change, on=\"DiseaseName\", how=\"inner\")\n", + "\n", + "# Display results\n", + "print(\"\\nTop Infectious Diseases by Prevalence:\")\n", + "print(highest_prevalence.head(10))\n", + "\n", + "print(\"\\nChange in Prevalence Rates Over the Last 5 Years:\")\n", + "print(prevalence_change.head(10))\n", + "\n", + "\n", + "# # Select the top 10 diseases by prevalence\n", + "# top_diseases = highest_prevalence[\"DiseaseName\"].head(10)\n", + "\n", + "# # Filter the dataframe for those diseases\n", + "# top_diseases_df = df[df[\"DiseaseName\"].isin(top_diseases)].copy()\n", + "\n", + "# # Sort by Year to ensure the lines are plotted in chronological order\n", + "# top_diseases_df.sort_values(by=[\"DiseaseName\", \"Year\"], inplace=True)\n", + "\n", + "# # Create a line plot\n", + "# plt.figure(figsize=(10, 6))\n", + "# sns.lineplot(\n", + "# data=top_diseases_df, \n", + "# x=\"Year\", \n", + "# y=\"PrevalenceRate\", \n", + "# hue=\"DiseaseName\", \n", + "# marker=\"o\"\n", + "# )\n", + "\n", + "# plt.title(\"Prevalence Rates Over the Years for Top Infectious Diseases\")\n", + "# plt.xlabel(\"Year\")\n", + "# plt.ylabel(\"Prevalence Rate\")\n", + "# plt.legend(title=\"Disease Name\", bbox_to_anchor=(1.05, 1), loc=\"upper left\")\n", + "# plt.tight_layout()\n", + "# plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\2576139669.py:18: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_question1 = pd.read_sql(query_1, connection)\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 1:\n", + "# Which infectious diseases have the highest prevalence rates globally, \n", + "# and how have these rates changed over the past 5 years?\n", + "\n", + "query_1 = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " Year,\n", + " AVG(PrevalenceRate) AS AvgPrevalence\n", + "FROM HealthStatistics\n", + "WHERE\n", + " DiseaseCategory = 'Infectious'\n", + " AND Year BETWEEN 2020 AND 2024\n", + "GROUP BY\n", + " DiseaseName,\n", + " Year\n", + "\"\"\"\n", + "df_question1 = pd.read_sql(query_1, connection)\n", + "\n", + "df_question1_sorted = df_question1.sort_values(by='Year')\n", + "\n", + "# Select top 5 diseases by unique disease names \n", + "top_diseases = df_question1_sorted['DiseaseName'].unique()[:5]\n", + "\n", + "\n", + "# Filter data for the top 5 diseases\n", + "top_diseases_data = df_question1_sorted[df_question1_sorted['DiseaseName'].isin(top_diseases)]\n", + "\n", + "# et a seaborn style\n", + "sns.set_theme(style=\"whitegrid\")\n", + "\n", + "# Create a refined graph\n", + "plt.figure(figsize=(12, 7))\n", + "palette = sns.color_palette(\"husl\", len(top_diseases)) # Use a colorful palette\n", + "\n", + "for i, (disease, group) in enumerate(top_diseases_data.groupby('DiseaseName')):\n", + " plt.plot(group['Year'], group['AvgPrevalence'], \n", + " marker='o', label=disease, color=palette[i], linewidth=2.5)\n", + "\n", + "# Add labels and title\n", + "plt.title('AvgPrevalence per Year for Top 5 Diseases', fontsize=16, weight='bold')\n", + "plt.xlabel('Year', fontsize=14)\n", + "plt.ylabel('AvgPrevalence', fontsize=14)\n", + "plt.xticks(sorted(df_question1_sorted['Year'].unique()), fontsize=12, rotation=45)\n", + "plt.yticks(fontsize=12)\n", + "plt.legend(title=\"DiseaseName\", fontsize=12, title_fontsize=14)\n", + "plt.grid(True, which='major', linestyle='--', linewidth=0.5, alpha=0.7)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1944517882.py:25: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " return pd.read_sql(query, connection, params=params)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 2:\n", + "# Which age groups and genders are most affected by high-prevalence infectious diseases? \n", + "# Are there significant disparities?\n", + "\n", + "def get_high_prevalence_data(connection: pymysql.connections.Connection, diseasecategory: str) -> pd.DataFrame:\n", + " \"\"\" \n", + " This function queries the `HealthStatistics` table to compute the average prevalence rate and \n", + " the total affected population for each combination of age group and gender within the specified \n", + " disease category. It filters the data to include only those entries where the prevalence rate \n", + " is greater than the average prevalence rate.\n", + "\n", + " Args:\n", + " connection (pymysql.connections.Connection): A valid database connection created with PyMySQL.\n", + " diseasecategory (str): The disease category to filter on (e.g., 'Infectious').\n", + "\n", + " Returns:\n", + " pd.DataFrame: A pandas DataFrame containing columns:\n", + " - `AgeGroup`: The age group.\n", + " - `Gender`: The gender (Male, Female, Other).\n", + " - `AvgPrevalence`: The average prevalence rate for the group.\n", + " - `TotalAffected`: The total population affected for the group.\n", + " \"\"\"\n", + " \n", + " \n", + " query = \"\"\"\n", + " SELECT\n", + " AgeGroup,\n", + " Gender,\n", + " AVG(PrevalenceRate) AS AvgPrevalence,\n", + " SUM(PopulationAffected) AS TotalAffected\n", + " FROM HealthStatistics\n", + " WHERE\n", + " DiseaseCategory = %s\n", + " AND PrevalenceRate > (\n", + " SELECT AVG(PrevalenceRate)\n", + " FROM HealthStatistics\n", + " WHERE DiseaseCategory = %s\n", + " )\n", + " GROUP BY AgeGroup, Gender\n", + " ORDER BY AvgPrevalence DESC;\n", + " \"\"\"\n", + " params = (diseasecategory, diseasecategory)\n", + " return pd.read_sql(query, connection, params=params)\n", + "\n", + "# Call the function\n", + "df_question2 = get_high_prevalence_data(connection, 'Infectious')\n", + "\n", + "# df_question2 = pd.read_sql(query_2, connection)\n", + "\n", + "age_order = ['0-18', '19-35', '36-60', '61+']\n", + "\n", + "df_question2['AgeGroup'] = pd.Categorical(df_question2['AgeGroup'], categories=age_order, ordered=True)\n", + "\n", + "# Plot the graph with the updated order\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(\n", + " data=df_question2,\n", + " x=\"AgeGroup\",\n", + " y=\"AvgPrevalence\",\n", + " hue=\"Gender\",\n", + " palette=\"viridis\"\n", + ")\n", + "plt.title(\"Prevalence Rate of by Age Group and Gender\")\n", + "plt.xlabel(\"Age Group\")\n", + "plt.ylabel(\"Average Prevalence Rate (%)\")\n", + "plt.xticks(rotation=45)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1639260823.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_question3 = pd.read_sql(query_3, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName AvgHealthcareAccess AvgDoctorsPer1000 \\\n", + "0 Malaria 74.786759 2.732954 \n", + "1 Ebola 74.704818 2.778387 \n", + "2 COVID-19 74.702642 2.706471 \n", + "3 Parkinson's Disease 74.792696 2.742936 \n", + "4 Tuberculosis 74.985969 2.764276 \n", + "\n", + " AvgRecoveryRate \n", + "0 74.801839 \n", + "1 74.398003 \n", + "2 74.255789 \n", + "3 74.335690 \n", + "4 74.538776 \n", + " AvgHealthcareAccess AvgDoctorsPer1000 AvgRecoveryRate\n", + "AvgHealthcareAccess 1.000000 -0.087803 0.336193\n", + "AvgDoctorsPer1000 -0.087803 1.000000 -0.058986\n", + "AvgRecoveryRate 0.336193 -0.058986 1.000000\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", + " with pd.option_context('mode.use_inf_as_na', True):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", + " with pd.option_context('mode.use_inf_as_na', True):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", + " with pd.option_context('mode.use_inf_as_na', True):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n", + " self._figure.tight_layout(*args, **kwargs)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 3: \n", + "# Is there a correlation between healthcare access, the number of doctors per 1000 people, \n", + "# and the recovery rate for specific diseases?\n", + "\n", + "query_3 = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(HealthcareAccess) AS AvgHealthcareAccess,\n", + " AVG(DoctorsPer1000) AS AvgDoctorsPer1000,\n", + " AVG(RecoveryRate) AS AvgRecoveryRate\n", + "FROM HealthStatistics\n", + "GROUP BY DiseaseName;\n", + "\"\"\"\n", + "\n", + "df_question3 = pd.read_sql(query_3, connection)\n", + "print(df_question3.head())\n", + "\n", + "correlation_matrix = df_question3[[\n", + " 'AvgHealthcareAccess',\n", + " 'AvgDoctorsPer1000',\n", + " 'AvgRecoveryRate'\n", + "]].corr()\n", + "\n", + "print(correlation_matrix)\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", + "plt.title(\"Correlation Between Healthcare Access, Doctors, and Recovery Rate\")\n", + "plt.show()\n", + "\n", + "\n", + "sns.pairplot(\n", + " df_question3,\n", + " vars=['AvgHealthcareAccess', 'AvgDoctorsPer1000', 'AvgRecoveryRate'],\n", + " kind=\"reg\"\n", + ")\n", + "plt.suptitle(\"Relationships Between Healthcare Access, Doctors, and Recovery Rate\", y=1.02)\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\574403037.py:17: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_question4 = pd.read_sql(query_4, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", + "0 Malaria 5.148557 51036.541119 0.656155\n", + "1 Hepatitis 5.111002 50134.584410 0.648586\n", + "2 Rabies 5.087610 50758.945881 0.648486\n", + "3 Tuberculosis 5.085437 49793.941319 0.650789\n", + "4 Measles 5.082200 50287.037513 0.649193\n", + " AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", + "AvgMortalityRate 1.000000 0.119010 0.742968\n", + "AvgPerCapitaIncome 0.119010 1.000000 0.346141\n", + "AvgEducationIndex 0.742968 0.346141 1.000000\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 4: \n", + "# Which infectious diseases have the highest mortality rates, and how do socioeconomic factors \n", + "# (e.g., per capita income, education index) influence these rates?\n", + "\n", + "query_4 = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(MortalityRate) AS AvgMortalityRate,\n", + " AVG(PerCapitaIncome) AS AvgPerCapitaIncome,\n", + " AVG(EducationIndex) AS AvgEducationIndex\n", + "FROM HealthStatistics\n", + "GROUP BY DiseaseName\n", + "ORDER BY AvgMortalityRate DESC\n", + "LIMIT 10;\n", + "\"\"\"\n", + "\n", + "df_question4 = pd.read_sql(query_4, connection)\n", + "print(df_question4.head())\n", + "\n", + "# Calculate correlations\n", + "correlation_matrix = df_question4[[\n", + " 'AvgMortalityRate', \n", + " 'AvgPerCapitaIncome', \n", + " 'AvgEducationIndex'\n", + "]].corr()\n", + "\n", + "print(correlation_matrix)\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", + "plt.title(\"Correlation Between Mortality Rate and Socioeconomic Factors\")\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.10" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/Business Challenge EDA and SQL_WHO.ipynb b/Business Challenge EDA and SQL_WHO.ipynb new file mode 100644 index 0000000..971fc5a --- /dev/null +++ b/Business Challenge EDA and SQL_WHO.ipynb @@ -0,0 +1,1191 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Business Challenge: EDA and SQL\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Connected to the WHO_health_data database successfully!\n" + ] + } + ], + "source": [ + "# import pymysql\n", + "from sqlalchemy.orm import sessionmaker\n", + "from sqlalchemy import create_engine\n", + "\n", + "\n", + "\n", + "# Switch to SQLAlchemy, because of UserWarning: \n", + "\n", + "# Database connection settings\n", + "host = \"localhost\" # host, e.g., 127.0.0.1 or a server address\n", + "user = \"root\" # MySQL username\n", + "password = \"Malcomx1\" # MySQL password\n", + "database = \"WHO_health_data\" # database name\n", + "\n", + "# # Establish the connection\n", + "# connection = pymysql.connect(\n", + "# host=host,\n", + "# user=user,\n", + "# password=password,\n", + "# database=database\n", + "# )\n", + "\n", + "# creates a SQLAlchemy engine, which serves as the entry point for interacting with the database\n", + "engine = create_engine(f\"mysql+pymysql://{user}:{password}@{host}/{database}\")\n", + "Session = sessionmaker(bind=engine)\n", + "session = Session()\n", + "\n", + "print(f\"Connected to the {database} database successfully!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "from sqlalchemy import Column, Integer, String, Float, Text, ForeignKey\n", + "from sqlalchemy.ext.declarative import declarative_base\n", + "\n", + "Base = declarative_base()\n", + "\n", + "class Indicator(Base):\n", + " __tablename__ = 'indicators'\n", + " indicator_id = Column(String(50), primary_key=True)\n", + " indicator_name = Column(Text, nullable=False)\n", + " description = Column(Text)\n", + " source = Column(Text)\n", + "\n", + "class Data(Base):\n", + " __tablename__ = 'data'\n", + " data_id = Column(Integer, primary_key=True, autoincrement=True)\n", + " indicator_id = Column(String(50), ForeignKey('indicators.indicator_id'))\n", + " year = Column(Integer)\n", + " value = Column(Float)\n", + " spatial_dimension = Column(String(50))\n", + " dimension_code = Column(String(50))\n", + "\n", + "class Dimension(Base):\n", + " __tablename__ = 'dimensions'\n", + " dimension_code = Column(String(50), primary_key=True)\n", + " dimension_name = Column(Text, nullable=False)\n", + " description = Column(Text)\n", + "\n", + "class Country(Base):\n", + " __tablename__ = 'countries'\n", + " code = Column(String(50), primary_key=True)\n", + " title = Column(Text, nullable=False)\n", + " region = Column(Text)\n", + " parent_code = Column(String(50))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "Base.metadata.create_all(engine)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dimension 0\n", + "Code 0\n", + "Title 0\n", + "ParentDimension 5\n", + "ParentCode 5\n", + "ParentTitle 5\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "# Load the data\n", + "\n", + "hygiene_data = pd.read_csv(r'world_health_statistics\\data\\WSH_HYGIENE_BASIC.csv')\n", + "country_data = pd.read_csv(r'world_health_statistics\\codes\\COUNTRY.csv')\n", + "\n", + "# Check for NaN values\n", + "print(country_data.isnull().sum()) # This will show which columns contain NaN values\n", + "\n", + "# Replace NaN with default values or drop rows with NaN\n", + "# Option 1: Replace NaN with default strings (e.g., \"Unknown\")\n", + "country_data.fillna(\"Unknown\", inplace=True)\n", + "\n", + "# Option 2: Drop rows with NaN values (only if it makes sense to drop them)\n", + "# country_data.dropna(inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# Close the session\n", + "session.close()\n", + "# Restart the session\n", + "session = Session()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "from sqlalchemy.exc import IntegrityError\n", + "\n", + "for _, row in country_data.iterrows():\n", + " country = Country(\n", + " code=row['Code'],\n", + " title=row['Title'],\n", + " region=row['ParentTitle'],\n", + " parent_code=row['ParentCode']\n", + " )\n", + " session.add(country)\n", + "\n", + "try:\n", + " session.commit()\n", + "except IntegrityError as e:\n", + " session.rollback()\n", + " print(f\"Error: {e}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "ename": "ProgrammingError", + "evalue": "(pymysql.err.ProgrammingError) nan can not be used with MySQL\n[SQL: INSERT INTO countries (code, title, region, parent_code) VALUES (%(code)s, %(title)s, %(region)s, %(parent_code)s)]\n[parameters: ({'code': 'ABW', 'title': 'Aruba', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'AFG', 'title': 'Afghanistan', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'AGO', 'title': 'Angola', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'AIA', 'title': 'Anguilla', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'ALB', 'title': 'Albania', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'AND', 'title': 'Andorra', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'ARE', 'title': 'United Arab Emirates', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'ARG', 'title': 'Argentina', 'region': 'Americas', 'parent_code': 'AMR'} ... displaying 10 of 233 total bound parameter sets ... {'code': 'ZMB', 'title': 'Zambia', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'ZWE', 'title': 'Zimbabwe', 'region': 'Africa', 'parent_code': 'AFR'})]\n(Background on this error at: https://sqlalche.me/e/14/f405)", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mProgrammingError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1890\u001b[0m, in \u001b[0;36mConnection._execute_context\u001b[1;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001b[0m\n\u001b[0;32m 1889\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m evt_handled:\n\u001b[1;32m-> 1890\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_executemany\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1891\u001b[0m \u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[0;32m 1892\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1893\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m parameters \u001b[38;5;129;01mand\u001b[39;00m context\u001b[38;5;241m.\u001b[39mno_parameters:\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\dialects\\mysql\\mysqldb.py:183\u001b[0m, in \u001b[0;36mMySQLDialect_mysqldb.do_executemany\u001b[1;34m(self, cursor, statement, parameters, context)\u001b[0m\n\u001b[0;32m 182\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdo_executemany\u001b[39m(\u001b[38;5;28mself\u001b[39m, cursor, statement, parameters, context\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m--> 183\u001b[0m rowcount \u001b[38;5;241m=\u001b[39m \u001b[43mcursor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecutemany\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m context \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:182\u001b[0m, in \u001b[0;36mCursor.executemany\u001b[1;34m(self, query, args)\u001b[0m\n\u001b[0;32m 181\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m q_values[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m q_values[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 182\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_do_execute_many\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 183\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_prefix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_values\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 185\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_postfix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 186\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 187\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_stmt_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 188\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_db\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 189\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 191\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msum\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexecute(query, arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:211\u001b[0m, in \u001b[0;36mCursor._do_execute_many\u001b[1;34m(self, prefix, values, postfix, args, max_stmt_length, encoding)\u001b[0m\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args:\n\u001b[1;32m--> 211\u001b[0m v \u001b[38;5;241m=\u001b[39m values \u001b[38;5;241m%\u001b[39m \u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(v, \u001b[38;5;28mstr\u001b[39m):\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36mCursor._escape_args\u001b[1;34m(self, args, conn)\u001b[0m\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: conn\u001b[38;5;241m.\u001b[39mliteral(val) \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mliteral\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:530\u001b[0m, in \u001b[0;36mConnection.literal\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m 526\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Alias for escape().\u001b[39;00m\n\u001b[0;32m 527\u001b[0m \n\u001b[0;32m 528\u001b[0m \u001b[38;5;124;03mNon-standard, for internal use; do not use this in your applications.\u001b[39;00m\n\u001b[0;32m 529\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m--> 530\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoders\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:523\u001b[0m, in \u001b[0;36mConnection.escape\u001b[1;34m(self, obj, mapping)\u001b[0m\n\u001b[0;32m 522\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ret\n\u001b[1;32m--> 523\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconverters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape_item\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcharset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:25\u001b[0m, in \u001b[0;36mescape_item\u001b[1;34m(val, charset, mapping)\u001b[0m\n\u001b[0;32m 24\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m---> 25\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43mencoder\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 26\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:56\u001b[0m, in \u001b[0;36mescape_float\u001b[1;34m(value, mapping)\u001b[0m\n\u001b[0;32m 55\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m s \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m-inf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnan\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m---> 56\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ProgrammingError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m can not be used with MySQL\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m s)\n\u001b[0;32m 57\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124me\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m s:\n", + "\u001b[1;31mProgrammingError\u001b[0m: nan can not be used with MySQL", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[1;31mProgrammingError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[10], line 13\u001b[0m\n\u001b[0;32m 10\u001b[0m session\u001b[38;5;241m.\u001b[39madd(country)\n\u001b[0;32m 12\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 13\u001b[0m \u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcommit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m IntegrityError:\n\u001b[0;32m 15\u001b[0m session\u001b[38;5;241m.\u001b[39mrollback()\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:1454\u001b[0m, in \u001b[0;36mSession.commit\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1451\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_autobegin():\n\u001b[0;32m 1452\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m sa_exc\u001b[38;5;241m.\u001b[39mInvalidRequestError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo transaction is begun.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m-> 1454\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_transaction\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcommit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m_to_root\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfuture\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:832\u001b[0m, in \u001b[0;36mSessionTransaction.commit\u001b[1;34m(self, _to_root)\u001b[0m\n\u001b[0;32m 830\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_assert_active(prepared_ok\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m 831\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m PREPARED:\n\u001b[1;32m--> 832\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_prepare_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 834\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_parent \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnested:\n\u001b[0;32m 835\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m conn, trans, should_commit, autoclose \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mset\u001b[39m(\n\u001b[0;32m 836\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connections\u001b[38;5;241m.\u001b[39mvalues()\n\u001b[0;32m 837\u001b[0m ):\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:811\u001b[0m, in \u001b[0;36mSessionTransaction._prepare_impl\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 809\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msession\u001b[38;5;241m.\u001b[39m_is_clean():\n\u001b[0;32m 810\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m--> 811\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mflush\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 812\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 813\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mFlushError(\n\u001b[0;32m 814\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOver 100 subsequent flushes have occurred within \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 815\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msession.commit() - is an after_flush() hook \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 816\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcreating new objects?\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 817\u001b[0m )\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:3449\u001b[0m, in \u001b[0;36mSession.flush\u001b[1;34m(self, objects)\u001b[0m\n\u001b[0;32m 3447\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 3448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flushing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m-> 3449\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_flush\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobjects\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 3450\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 3451\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flushing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:3588\u001b[0m, in \u001b[0;36mSession._flush\u001b[1;34m(self, objects)\u001b[0m\n\u001b[0;32m 3585\u001b[0m transaction\u001b[38;5;241m.\u001b[39mcommit()\n\u001b[0;32m 3587\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[1;32m-> 3588\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m util\u001b[38;5;241m.\u001b[39msafe_reraise():\n\u001b[0;32m 3589\u001b[0m transaction\u001b[38;5;241m.\u001b[39mrollback(_capture_exception\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\util\\langhelpers.py:70\u001b[0m, in \u001b[0;36msafe_reraise.__exit__\u001b[1;34m(self, type_, value, traceback)\u001b[0m\n\u001b[0;32m 68\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exc_info \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;66;03m# remove potential circular references\u001b[39;00m\n\u001b[0;32m 69\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mwarn_only:\n\u001b[1;32m---> 70\u001b[0m \u001b[43mcompat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 71\u001b[0m \u001b[43m \u001b[49m\u001b[43mexc_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 72\u001b[0m \u001b[43m \u001b[49m\u001b[43mwith_traceback\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexc_tb\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 73\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 74\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 75\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m compat\u001b[38;5;241m.\u001b[39mpy3k \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exc_info \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exc_info[\u001b[38;5;241m1\u001b[39m]:\n\u001b[0;32m 76\u001b[0m \u001b[38;5;66;03m# emulate Py3K's behavior of telling us when an exception\u001b[39;00m\n\u001b[0;32m 77\u001b[0m \u001b[38;5;66;03m# occurs in an exception handler.\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\util\\compat.py:211\u001b[0m, in \u001b[0;36mraise_\u001b[1;34m(***failed resolving arguments***)\u001b[0m\n\u001b[0;32m 208\u001b[0m exception\u001b[38;5;241m.\u001b[39m__cause__ \u001b[38;5;241m=\u001b[39m replace_context\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 211\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exception\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 213\u001b[0m \u001b[38;5;66;03m# credit to\u001b[39;00m\n\u001b[0;32m 214\u001b[0m \u001b[38;5;66;03m# https://cosmicpercolator.com/2016/01/13/exception-leaks-in-python-2-and-3/\u001b[39;00m\n\u001b[0;32m 215\u001b[0m \u001b[38;5;66;03m# as the __traceback__ object creates a cycle\u001b[39;00m\n\u001b[0;32m 216\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m exception, replace_context, from_, with_traceback\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:3549\u001b[0m, in \u001b[0;36mSession._flush\u001b[1;34m(self, objects)\u001b[0m\n\u001b[0;32m 3547\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_warn_on_events \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m 3548\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 3549\u001b[0m \u001b[43mflush_context\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 3550\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 3551\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_warn_on_events \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\unitofwork.py:456\u001b[0m, in \u001b[0;36mUOWTransaction.execute\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 454\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 455\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m rec \u001b[38;5;129;01min\u001b[39;00m topological\u001b[38;5;241m.\u001b[39msort(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdependencies, postsort_actions):\n\u001b[1;32m--> 456\u001b[0m \u001b[43mrec\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\unitofwork.py:630\u001b[0m, in \u001b[0;36mSaveUpdateAll.execute\u001b[1;34m(self, uow)\u001b[0m\n\u001b[0;32m 628\u001b[0m \u001b[38;5;129m@util\u001b[39m\u001b[38;5;241m.\u001b[39mpreload_module(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msqlalchemy.orm.persistence\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 629\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mexecute\u001b[39m(\u001b[38;5;28mself\u001b[39m, uow):\n\u001b[1;32m--> 630\u001b[0m \u001b[43mutil\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpreloaded\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morm_persistence\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msave_obj\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 631\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 632\u001b[0m \u001b[43m \u001b[49m\u001b[43muow\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstates_for_mapper_hierarchy\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 633\u001b[0m \u001b[43m \u001b[49m\u001b[43muow\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 634\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\persistence.py:245\u001b[0m, in \u001b[0;36msave_obj\u001b[1;34m(base_mapper, states, uowtransaction, single)\u001b[0m\n\u001b[0;32m 233\u001b[0m update \u001b[38;5;241m=\u001b[39m _collect_update_commands(\n\u001b[0;32m 234\u001b[0m uowtransaction, table, states_to_update\n\u001b[0;32m 235\u001b[0m )\n\u001b[0;32m 237\u001b[0m _emit_update_statements(\n\u001b[0;32m 238\u001b[0m base_mapper,\n\u001b[0;32m 239\u001b[0m uowtransaction,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 242\u001b[0m update,\n\u001b[0;32m 243\u001b[0m )\n\u001b[1;32m--> 245\u001b[0m \u001b[43m_emit_insert_statements\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 246\u001b[0m \u001b[43m \u001b[49m\u001b[43mbase_mapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 247\u001b[0m \u001b[43m \u001b[49m\u001b[43muowtransaction\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 248\u001b[0m \u001b[43m \u001b[49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 249\u001b[0m \u001b[43m \u001b[49m\u001b[43mtable\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 250\u001b[0m \u001b[43m \u001b[49m\u001b[43minsert\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 251\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 253\u001b[0m _finalize_insert_update_commands(\n\u001b[0;32m 254\u001b[0m base_mapper,\n\u001b[0;32m 255\u001b[0m uowtransaction,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 271\u001b[0m ),\n\u001b[0;32m 272\u001b[0m )\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\persistence.py:1097\u001b[0m, in \u001b[0;36m_emit_insert_statements\u001b[1;34m(base_mapper, uowtransaction, mapper, table, insert, bookkeeping)\u001b[0m\n\u001b[0;32m 1094\u001b[0m records \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(records)\n\u001b[0;32m 1095\u001b[0m multiparams \u001b[38;5;241m=\u001b[39m [rec[\u001b[38;5;241m2\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m rec \u001b[38;5;129;01min\u001b[39;00m records]\n\u001b[1;32m-> 1097\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_20\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1098\u001b[0m \u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmultiparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexecution_options\u001b[49m\n\u001b[0;32m 1099\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1101\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m bookkeeping:\n\u001b[0;32m 1102\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m (\n\u001b[0;32m 1103\u001b[0m (\n\u001b[0;32m 1104\u001b[0m state,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1113\u001b[0m last_inserted_params,\n\u001b[0;32m 1114\u001b[0m ) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(records, c\u001b[38;5;241m.\u001b[39mcontext\u001b[38;5;241m.\u001b[39mcompiled_parameters):\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1710\u001b[0m, in \u001b[0;36mConnection._execute_20\u001b[1;34m(self, statement, parameters, execution_options)\u001b[0m\n\u001b[0;32m 1706\u001b[0m util\u001b[38;5;241m.\u001b[39mraise_(\n\u001b[0;32m 1707\u001b[0m exc\u001b[38;5;241m.\u001b[39mObjectNotExecutableError(statement), replace_context\u001b[38;5;241m=\u001b[39merr\n\u001b[0;32m 1708\u001b[0m )\n\u001b[0;32m 1709\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 1710\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmeth\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs_10style\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs_10style\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\sql\\elements.py:334\u001b[0m, in \u001b[0;36mClauseElement._execute_on_connection\u001b[1;34m(self, connection, multiparams, params, execution_options, _force)\u001b[0m\n\u001b[0;32m 330\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_execute_on_connection\u001b[39m(\n\u001b[0;32m 331\u001b[0m \u001b[38;5;28mself\u001b[39m, connection, multiparams, params, execution_options, _force\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m 332\u001b[0m ):\n\u001b[0;32m 333\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m _force \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msupports_execution:\n\u001b[1;32m--> 334\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_clauseelement\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 335\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmultiparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\n\u001b[0;32m 336\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 337\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 338\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mObjectNotExecutableError(\u001b[38;5;28mself\u001b[39m)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1577\u001b[0m, in \u001b[0;36mConnection._execute_clauseelement\u001b[1;34m(self, elem, multiparams, params, execution_options)\u001b[0m\n\u001b[0;32m 1565\u001b[0m compiled_cache \u001b[38;5;241m=\u001b[39m execution_options\u001b[38;5;241m.\u001b[39mget(\n\u001b[0;32m 1566\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcompiled_cache\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mengine\u001b[38;5;241m.\u001b[39m_compiled_cache\n\u001b[0;32m 1567\u001b[0m )\n\u001b[0;32m 1569\u001b[0m compiled_sql, extracted_params, cache_hit \u001b[38;5;241m=\u001b[39m elem\u001b[38;5;241m.\u001b[39m_compile_w_cache(\n\u001b[0;32m 1570\u001b[0m dialect\u001b[38;5;241m=\u001b[39mdialect,\n\u001b[0;32m 1571\u001b[0m compiled_cache\u001b[38;5;241m=\u001b[39mcompiled_cache,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1575\u001b[0m linting\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdialect\u001b[38;5;241m.\u001b[39mcompiler_linting \u001b[38;5;241m|\u001b[39m compiler\u001b[38;5;241m.\u001b[39mWARN_LINTING,\n\u001b[0;32m 1576\u001b[0m )\n\u001b[1;32m-> 1577\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_context\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1578\u001b[0m \u001b[43m \u001b[49m\u001b[43mdialect\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1579\u001b[0m \u001b[43m \u001b[49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecution_ctx_cls\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_init_compiled\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1580\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompiled_sql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1581\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1582\u001b[0m \u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1583\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompiled_sql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1584\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1585\u001b[0m \u001b[43m \u001b[49m\u001b[43melem\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1586\u001b[0m \u001b[43m \u001b[49m\u001b[43mextracted_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1587\u001b[0m \u001b[43m \u001b[49m\u001b[43mcache_hit\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_hit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1588\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1589\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m has_events:\n\u001b[0;32m 1590\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdispatch\u001b[38;5;241m.\u001b[39mafter_execute(\n\u001b[0;32m 1591\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m 1592\u001b[0m elem,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1596\u001b[0m ret,\n\u001b[0;32m 1597\u001b[0m )\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1953\u001b[0m, in \u001b[0;36mConnection._execute_context\u001b[1;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001b[0m\n\u001b[0;32m 1950\u001b[0m branched\u001b[38;5;241m.\u001b[39mclose()\n\u001b[0;32m 1952\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m-> 1953\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_handle_dbapi_exception\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1954\u001b[0m \u001b[43m \u001b[49m\u001b[43me\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[0;32m 1955\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1957\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:2134\u001b[0m, in \u001b[0;36mConnection._handle_dbapi_exception\u001b[1;34m(self, e, statement, parameters, cursor, context)\u001b[0m\n\u001b[0;32m 2132\u001b[0m util\u001b[38;5;241m.\u001b[39mraise_(newraise, with_traceback\u001b[38;5;241m=\u001b[39mexc_info[\u001b[38;5;241m2\u001b[39m], from_\u001b[38;5;241m=\u001b[39me)\n\u001b[0;32m 2133\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m should_wrap:\n\u001b[1;32m-> 2134\u001b[0m \u001b[43mutil\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2135\u001b[0m \u001b[43m \u001b[49m\u001b[43msqlalchemy_exception\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwith_traceback\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexc_info\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfrom_\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43me\u001b[49m\n\u001b[0;32m 2136\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2137\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 2138\u001b[0m util\u001b[38;5;241m.\u001b[39mraise_(exc_info[\u001b[38;5;241m1\u001b[39m], with_traceback\u001b[38;5;241m=\u001b[39mexc_info[\u001b[38;5;241m2\u001b[39m])\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\util\\compat.py:211\u001b[0m, in \u001b[0;36mraise_\u001b[1;34m(***failed resolving arguments***)\u001b[0m\n\u001b[0;32m 208\u001b[0m exception\u001b[38;5;241m.\u001b[39m__cause__ \u001b[38;5;241m=\u001b[39m replace_context\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 211\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exception\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 213\u001b[0m \u001b[38;5;66;03m# credit to\u001b[39;00m\n\u001b[0;32m 214\u001b[0m \u001b[38;5;66;03m# https://cosmicpercolator.com/2016/01/13/exception-leaks-in-python-2-and-3/\u001b[39;00m\n\u001b[0;32m 215\u001b[0m \u001b[38;5;66;03m# as the __traceback__ object creates a cycle\u001b[39;00m\n\u001b[0;32m 216\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m exception, replace_context, from_, with_traceback\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1890\u001b[0m, in \u001b[0;36mConnection._execute_context\u001b[1;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001b[0m\n\u001b[0;32m 1888\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[0;32m 1889\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m evt_handled:\n\u001b[1;32m-> 1890\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_executemany\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1891\u001b[0m \u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[0;32m 1892\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1893\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m parameters \u001b[38;5;129;01mand\u001b[39;00m context\u001b[38;5;241m.\u001b[39mno_parameters:\n\u001b[0;32m 1894\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdialect\u001b[38;5;241m.\u001b[39m_has_events:\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\dialects\\mysql\\mysqldb.py:183\u001b[0m, in \u001b[0;36mMySQLDialect_mysqldb.do_executemany\u001b[1;34m(self, cursor, statement, parameters, context)\u001b[0m\n\u001b[0;32m 182\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdo_executemany\u001b[39m(\u001b[38;5;28mself\u001b[39m, cursor, statement, parameters, context\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m--> 183\u001b[0m rowcount \u001b[38;5;241m=\u001b[39m \u001b[43mcursor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecutemany\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m context \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 185\u001b[0m context\u001b[38;5;241m.\u001b[39m_rowcount \u001b[38;5;241m=\u001b[39m rowcount\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:182\u001b[0m, in \u001b[0;36mCursor.executemany\u001b[1;34m(self, query, args)\u001b[0m\n\u001b[0;32m 180\u001b[0m q_postfix \u001b[38;5;241m=\u001b[39m m\u001b[38;5;241m.\u001b[39mgroup(\u001b[38;5;241m3\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 181\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m q_values[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m q_values[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 182\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_do_execute_many\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 183\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_prefix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_values\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 185\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_postfix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 186\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 187\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_stmt_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 188\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_db\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 189\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 191\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msum\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexecute(query, arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n\u001b[0;32m 192\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:211\u001b[0m, in \u001b[0;36mCursor._do_execute_many\u001b[1;34m(self, prefix, values, postfix, args, max_stmt_length, encoding)\u001b[0m\n\u001b[0;32m 209\u001b[0m rows \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args:\n\u001b[1;32m--> 211\u001b[0m v \u001b[38;5;241m=\u001b[39m values \u001b[38;5;241m%\u001b[39m \u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(v, \u001b[38;5;28mstr\u001b[39m):\n\u001b[0;32m 213\u001b[0m v \u001b[38;5;241m=\u001b[39m v\u001b[38;5;241m.\u001b[39mencode(encoding, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msurrogateescape\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36mCursor._escape_args\u001b[1;34m(self, args, conn)\u001b[0m\n\u001b[0;32m 102\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mtuple\u001b[39m(conn\u001b[38;5;241m.\u001b[39mliteral(arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: conn\u001b[38;5;241m.\u001b[39mliteral(val) \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n\u001b[0;32m 108\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m conn\u001b[38;5;241m.\u001b[39mescape(args)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 102\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mtuple\u001b[39m(conn\u001b[38;5;241m.\u001b[39mliteral(arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mliteral\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n\u001b[0;32m 108\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m conn\u001b[38;5;241m.\u001b[39mescape(args)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:530\u001b[0m, in \u001b[0;36mConnection.literal\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m 525\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mliteral\u001b[39m(\u001b[38;5;28mself\u001b[39m, obj):\n\u001b[0;32m 526\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Alias for escape().\u001b[39;00m\n\u001b[0;32m 527\u001b[0m \n\u001b[0;32m 528\u001b[0m \u001b[38;5;124;03m Non-standard, for internal use; do not use this in your applications.\u001b[39;00m\n\u001b[0;32m 529\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 530\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoders\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:523\u001b[0m, in \u001b[0;36mConnection.escape\u001b[1;34m(self, obj, mapping)\u001b[0m\n\u001b[0;32m 521\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_binary\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m ret\n\u001b[0;32m 522\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ret\n\u001b[1;32m--> 523\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconverters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape_item\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcharset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:25\u001b[0m, in \u001b[0;36mescape_item\u001b[1;34m(val, charset, mapping)\u001b[0m\n\u001b[0;32m 23\u001b[0m val \u001b[38;5;241m=\u001b[39m encoder(val, charset, mapping)\n\u001b[0;32m 24\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m---> 25\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43mencoder\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 26\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:56\u001b[0m, in \u001b[0;36mescape_float\u001b[1;34m(value, mapping)\u001b[0m\n\u001b[0;32m 54\u001b[0m s \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mrepr\u001b[39m(value)\n\u001b[0;32m 55\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m s \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m-inf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnan\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m---> 56\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ProgrammingError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m can not be used with MySQL\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m s)\n\u001b[0;32m 57\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124me\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m s:\n\u001b[0;32m 58\u001b[0m s \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124me0\u001b[39m\u001b[38;5;124m\"\u001b[39m\n", + "\u001b[1;31mProgrammingError\u001b[0m: (pymysql.err.ProgrammingError) nan can not be used with MySQL\n[SQL: INSERT INTO countries (code, title, region, parent_code) VALUES (%(code)s, %(title)s, %(region)s, %(parent_code)s)]\n[parameters: ({'code': 'ABW', 'title': 'Aruba', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'AFG', 'title': 'Afghanistan', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'AGO', 'title': 'Angola', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'AIA', 'title': 'Anguilla', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'ALB', 'title': 'Albania', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'AND', 'title': 'Andorra', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'ARE', 'title': 'United Arab Emirates', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'ARG', 'title': 'Argentina', 'region': 'Americas', 'parent_code': 'AMR'} ... displaying 10 of 233 total bound parameter sets ... {'code': 'ZMB', 'title': 'Zambia', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'ZWE', 'title': 'Zimbabwe', 'region': 'Africa', 'parent_code': 'AFR'})]\n(Background on this error at: https://sqlalche.me/e/14/f405)" + ] + } + ], + "source": [ + "from sqlalchemy.exc import IntegrityError\n", + "\n", + "for _, row in country_data.iterrows():\n", + " country = Country(\n", + " code=row['Code'],\n", + " title=row['Title'],\n", + " region=row['ParentTitle'],\n", + " parent_code=row['ParentCode']\n", + " )\n", + " session.add(country)\n", + "\n", + "try:\n", + " session.commit()\n", + "except IntegrityError:\n", + " session.rollback()\n", + " print(\"Duplicate entries skipped.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " id Country Year DiseaseName DiseaseCategory \\\n", + "0 3 Turkey 2015 COVID-19 Genetic \n", + "1 11 Canada 2011 Leprosy Cardiovascular \n", + "2 23 South Africa 2014 Malaria Bacterial \n", + "3 38 Turkey 2006 Malaria Cardiovascular \n", + "4 43 Indonesia 2000 Rabies Bacterial \n", + "... ... ... ... ... ... \n", + "19986 99980 Australia 2017 Hypertension Neurological \n", + "19987 99984 UK 2010 Measles Metabolic \n", + "19988 99985 Canada 2001 Alzheimer's Disease Bacterial \n", + "19989 99986 South Korea 2004 Measles Respiratory \n", + "19990 99987 Russia 2005 Asthma Chronic \n", + "\n", + " PrevalenceRate IncidenceRate MortalityRate AgeGroup Gender ... \\\n", + "0 0.91 2.35 6.22 36-60 Male ... \n", + "1 11.15 0.60 2.97 36-60 Female ... \n", + "2 5.94 4.29 2.36 61+ Female ... \n", + "3 10.53 2.50 5.09 0-18 Male ... \n", + "4 1.22 13.78 3.90 0-18 Male ... \n", + "... ... ... ... ... ... ... \n", + "19986 2.55 0.84 6.96 19-35 Male ... \n", + "19987 16.48 3.29 6.63 36-60 Male ... \n", + "19988 15.71 10.18 5.12 36-60 Male ... \n", + "19989 1.10 10.82 6.33 36-60 Male ... \n", + "19990 10.69 7.84 4.42 61+ Other ... \n", + "\n", + " HospitalBedsPer1000 TreatmentType AverageTreatmentCost \\\n", + "0 3.49 Vaccination 27834.0 \n", + "1 1.99 Surgery 19993.0 \n", + "2 6.88 Therapy 14578.0 \n", + "3 2.95 Vaccination 29311.0 \n", + "4 3.53 Therapy 45214.0 \n", + "... ... ... ... \n", + "19986 1.05 Surgery 15056.0 \n", + "19987 6.46 Therapy 7088.0 \n", + "19988 3.28 Medication 42658.0 \n", + "19989 2.97 Therapy 5205.0 \n", + "19990 8.89 Medication 2377.0 \n", + "\n", + " AvailabilityOfVaccinesTreatment RecoveryRate DALYs \\\n", + "0 Yes 98.55 41.0 \n", + "1 Yes 76.16 4238.0 \n", + "2 Yes 72.97 433.0 \n", + "3 Yes 93.53 110.0 \n", + "4 Yes 97.84 4746.0 \n", + "... ... ... ... \n", + "19986 Yes 89.41 680.0 \n", + "19987 No 63.23 399.0 \n", + "19988 Yes 82.12 3051.0 \n", + "19989 Yes 87.74 382.0 \n", + "19990 Yes 50.31 2814.0 \n", + "\n", + " ImprovementIn5Years PerCapitaIncome EducationIndex UrbanizationRate \n", + "0 5.81 12245.0 0.41 40.20 \n", + "1 1.23 44699.0 0.58 51.50 \n", + "2 1.40 52974.0 0.53 43.97 \n", + "3 6.45 51865.0 0.74 58.38 \n", + "4 3.30 24147.0 0.73 79.39 \n", + "... ... ... ... ... \n", + "19986 1.71 37060.0 0.64 47.46 \n", + "19987 1.14 73707.0 0.60 45.20 \n", + "19988 2.52 52542.0 0.61 47.49 \n", + "19989 3.38 67734.0 0.83 76.76 \n", + "19990 3.43 44723.0 0.81 72.82 \n", + "\n", + "[19991 rows x 23 columns]\n" + ] + } + ], + "source": [ + "# Switch to SQLAlchemy, because of UserWarning: \n", + "\n", + "import pandas as pd\n", + "\n", + "query = \"\"\"\n", + "SELECT *\n", + "FROM HealthStatistics\n", + "WHERE RAND() <= 0.2;\n", + "\"\"\"\n", + "\n", + "df_healtstatistics_sample = pd.read_sql(query, engine)\n", + "\n", + "print(df_healtstatistics_sample)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " id Country Year DiseaseName DiseaseCategory PrevalenceRate \\\n", + "0 105 Australia 2020 Malaria Genetic 12.89 \n", + "1 486 Nigeria 2020 Malaria Bacterial 18.91 \n", + "2 1200 China 2020 Malaria Neurological 7.81 \n", + "3 1325 Argentina 2020 Malaria Autoimmune 2.21 \n", + "4 1544 Australia 2020 Malaria Metabolic 1.60 \n", + ".. ... ... ... ... ... ... \n", + "196 99253 South Africa 2020 Malaria Respiratory 9.22 \n", + "197 99350 Turkey 2020 Malaria Bacterial 7.57 \n", + "198 99402 India 2020 Malaria Metabolic 13.16 \n", + "199 99406 Mexico 2020 Malaria Genetic 1.28 \n", + "200 99475 Indonesia 2020 Malaria Metabolic 15.20 \n", + "\n", + " IncidenceRate MortalityRate AgeGroup Gender ... HospitalBedsPer1000 \\\n", + "0 12.34 1.52 36-60 Other ... 5.35 \n", + "1 13.31 1.37 61+ Female ... 7.57 \n", + "2 2.24 8.67 61+ Female ... 2.86 \n", + "3 10.05 7.41 19-35 Other ... 2.04 \n", + "4 0.84 5.24 19-35 Male ... 7.22 \n", + ".. ... ... ... ... ... ... \n", + "196 13.76 9.81 19-35 Male ... 5.95 \n", + "197 10.89 6.23 0-18 Other ... 9.79 \n", + "198 4.00 6.32 61+ Other ... 9.47 \n", + "199 13.18 1.02 61+ Other ... 9.76 \n", + "200 3.84 0.54 36-60 Female ... 7.74 \n", + "\n", + " TreatmentType AverageTreatmentCost AvailabilityOfVaccinesTreatment \\\n", + "0 Medication 9153.0 Yes \n", + "1 Vaccination 40849.0 No \n", + "2 Surgery 29742.0 No \n", + "3 Medication 25557.0 No \n", + "4 Vaccination 14504.0 Yes \n", + ".. ... ... ... \n", + "196 Surgery 13942.0 No \n", + "197 Therapy 18890.0 Yes \n", + "198 Therapy 22365.0 Yes \n", + "199 Surgery 22522.0 Yes \n", + "200 Therapy 27101.0 No \n", + "\n", + " RecoveryRate DALYs ImprovementIn5Years PerCapitaIncome EducationIndex \\\n", + "0 85.70 3411.0 1.03 13201.0 0.62 \n", + "1 56.59 4604.0 0.13 35250.0 0.89 \n", + "2 55.98 1288.0 8.50 5954.0 0.83 \n", + "3 77.72 4074.0 7.04 99936.0 0.54 \n", + "4 67.36 391.0 9.61 24293.0 0.81 \n", + ".. ... ... ... ... ... \n", + "196 97.84 2531.0 6.81 84482.0 0.67 \n", + "197 67.85 4101.0 4.88 39904.0 0.59 \n", + "198 81.07 105.0 6.68 67995.0 0.67 \n", + "199 65.91 4689.0 0.86 31437.0 0.44 \n", + "200 78.98 4520.0 0.86 59791.0 0.74 \n", + "\n", + " UrbanizationRate \n", + "0 34.93 \n", + "1 35.01 \n", + "2 85.54 \n", + "3 31.58 \n", + "4 41.08 \n", + ".. ... \n", + "196 46.73 \n", + "197 21.95 \n", + "198 38.27 \n", + "199 54.71 \n", + "200 89.86 \n", + "\n", + "[201 rows x 23 columns]\n" + ] + } + ], + "source": [ + "# Switch to SQLAlchemy, because of UserWarning: \n", + "\n", + "# Trying a filter for Malaria in 2020\n", + "query = \"\"\"\n", + "SELECT *\n", + "FROM HealthStatistics\n", + "WHERE Year = 2020 AND DiseaseName = 'Malaria';\n", + "\"\"\"\n", + "df_filtered = pd.read_sql(query, engine)\n", + "\n", + "print(df_filtered)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data retrieved successfully!\n", + "\n", + "Top Infectious Diseases by Prevalence:\n", + " Avg_Prevalence Total_Prevalence\n", + "DiseaseName \n", + "Polio 11.092771 920.70\n", + "Influenza 10.972241 1272.78\n", + "Ebola 10.409245 1103.38\n", + "Malaria 10.408333 1124.10\n", + "Asthma 10.332857 1012.62\n", + "Measles 10.321685 918.63\n", + "HIV/AIDS 10.213814 990.74\n", + "Dengue 10.173448 885.09\n", + "Alzheimer's Disease 10.101000 909.09\n", + "Parkinson's Disease 10.025934 912.36\n", + "\n", + "Change in Prevalence Rates Over the Last 5 Years:\n", + " Initial_Prevalence Latest_Prevalence \\\n", + "DiseaseName \n", + "Cholera 7.85 17.66 \n", + "Parkinson's Disease 12.31 18.03 \n", + "Hepatitis 0.60 5.59 \n", + "Zika 14.62 18.20 \n", + "Malaria 14.16 17.55 \n", + "Tuberculosis 0.92 4.20 \n", + "Leprosy 16.01 17.26 \n", + "COVID-19 14.88 14.77 \n", + "HIV/AIDS 4.56 4.32 \n", + "Asthma 14.70 13.25 \n", + "\n", + " Change_in_Prevalence \n", + "DiseaseName \n", + "Cholera 9.81 \n", + "Parkinson's Disease 5.72 \n", + "Hepatitis 4.99 \n", + "Zika 3.58 \n", + "Malaria 3.39 \n", + "Tuberculosis 3.28 \n", + "Leprosy 1.25 \n", + "COVID-19 -0.11 \n", + "HIV/AIDS -0.24 \n", + "Asthma -1.45 \n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 1:\n", + "# Which infectious diseases have the highest prevalence rates globally, and how have these rates changed over the past 5 years?\n", + "\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# SQL query to fetch data\n", + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " DiseaseCategory,\n", + " Year,\n", + " PrevalenceRate\n", + "FROM HealthStatistics\n", + "WHERE\n", + " DiseaseCategory = 'Infectious'\n", + " AND Year BETWEEN 2020 AND 2024\n", + "ORDER BY\n", + " Year DESC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a pandas DataFrame\n", + "df_question1 = pd.read_sql(query, engine)\n", + "\n", + "# Analyze the data\n", + "# Step 1: Group data to find the highest average prevalence rates globally\n", + "highest_prevalence = (\n", + " df_question1.groupby(\"DiseaseName\")\n", + " .agg(\n", + " Avg_Prevalence=(\"PrevalenceRate\", \"mean\"),\n", + " Total_Prevalence=(\"PrevalenceRate\", \"sum\")\n", + " )\n", + " .sort_values(by=\"Avg_Prevalence\", ascending=False)\n", + ")\n", + "\n", + "# Step 2: Analyze the change in prevalence rates over the last 5 years\n", + "recent_years = df_question1[df_question1['Year'] >= df_question1['Year'].max() - 5]\n", + "\n", + "prevalence_change = (\n", + " recent_years.groupby(\"DiseaseName\")\n", + " .agg(\n", + " Initial_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[0]),\n", + " Latest_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[-1])\n", + " )\n", + " .assign(Change_in_Prevalence=lambda x: x[\"Latest_Prevalence\"] - x[\"Initial_Prevalence\"])\n", + " .sort_values(by=\"Change_in_Prevalence\", ascending=False)\n", + ")\n", + "\n", + "# Step 3: Merge both results\n", + "result = highest_prevalence.merge(prevalence_change, on=\"DiseaseName\", how=\"inner\")\n", + "\n", + "# Display results\n", + "print(\"\\nTop Infectious Diseases by Prevalence:\")\n", + "print(highest_prevalence.head(10))\n", + "\n", + "print(\"\\nChange in Prevalence Rates Over the Last 5 Years:\")\n", + "print(prevalence_change.head(10))\n", + "\n", + "# Step 4: Sort data by year\n", + "df_question1_sorted = df_question1.sort_values(by='Year')\n", + "\n", + "# Step 5: Select top 5 diseases by highest average prevalence rates\n", + "top_diseases = highest_prevalence.head(5).index\n", + "\n", + "# Filter data for the top 5 diseases\n", + "top_diseases_data = df_question1_sorted[df_question1_sorted['DiseaseName'].isin(top_diseases)]\n", + "\n", + "# Aggregate data by DiseaseName and Year\n", + "aggregated_data = (\n", + " top_diseases_data.groupby(['DiseaseName', 'Year'])\n", + " .agg({'PrevalenceRate': 'mean'})\n", + " .reset_index()\n", + ")\n", + "\n", + "# Plot the aggregated data\n", + "sns.set_theme(style=\"whitegrid\")\n", + "plt.figure(figsize=(12, 7))\n", + "palette = sns.color_palette(\"husl\", len(top_diseases)) # colorful theme\n", + "\n", + "for i, (disease, group) in enumerate(aggregated_data.groupby('DiseaseName')):\n", + " plt.plot(group['Year'], group['PrevalenceRate'], \n", + " marker='o', label=disease, color=palette[i], linewidth=2.5)\n", + "\n", + "# Add labels and title\n", + "plt.title('Prevalence Rate per Year for Top 5 Diseases', fontsize=16, weight='bold')\n", + "plt.xlabel('Year', fontsize=14)\n", + "plt.ylabel('Prevalence Rate', fontsize=14)\n", + "plt.xticks(sorted(aggregated_data['Year'].unique()), fontsize=12, rotation=45)\n", + "plt.yticks(fontsize=12)\n", + "plt.legend(title=\"Disease Name\", fontsize=12, title_fontsize=14)\n", + "plt.grid(True, which='major', linestyle='--', linewidth=0.5, alpha=0.7)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1944517882.py:25: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " return pd.read_sql(query, connection, params=params)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 2:\n", + "# Which age groups and genders are most affected by high-prevalence infectious diseases? \n", + "# Are there significant disparities?\n", + "\n", + "def get_high_prevalence_data(connection: pymysql.connections.Connection, diseasecategory: str) -> pd.DataFrame:\n", + " \"\"\" \n", + " This function queries the `HealthStatistics` table to compute the average prevalence rate and \n", + " the total affected population for each combination of age group and gender within the specified \n", + " disease category. It filters the data to include only those entries where the prevalence rate \n", + " is greater than the average prevalence rate.\n", + "\n", + " Args:\n", + " connection (pymysql.connections.Connection): A valid database connection created with PyMySQL.\n", + " diseasecategory (str): The disease category to filter on (e.g., 'Infectious').\n", + "\n", + " Returns:\n", + " pd.DataFrame: A pandas DataFrame containing columns:\n", + " - `AgeGroup`: The age group.\n", + " - `Gender`: The gender (Male, Female, Other).\n", + " - `AvgPrevalence`: The average prevalence rate for the group.\n", + " - `TotalAffected`: The total population affected for the group.\n", + " \"\"\"\n", + " \n", + " \n", + " query = \"\"\"\n", + " SELECT\n", + " AgeGroup,\n", + " Gender,\n", + " AVG(PrevalenceRate) AS AvgPrevalence,\n", + " SUM(PopulationAffected) AS TotalAffected\n", + " FROM HealthStatistics\n", + " WHERE\n", + " DiseaseCategory = %s\n", + " AND PrevalenceRate > (\n", + " SELECT AVG(PrevalenceRate)\n", + " FROM HealthStatistics\n", + " WHERE DiseaseCategory = %s\n", + " )\n", + " GROUP BY AgeGroup, Gender\n", + " ORDER BY AvgPrevalence DESC;\n", + " \"\"\"\n", + " params = (diseasecategory, diseasecategory)\n", + " return pd.read_sql(query, connection, params=params)\n", + "\n", + "# Call the function\n", + "df_question2 = get_high_prevalence_data(connection, 'Infectious')\n", + "\n", + "# df_question2 = pd.read_sql(query_2, connection)\n", + "\n", + "age_order = ['0-18', '19-35', '36-60', '61+']\n", + "\n", + "df_question2['AgeGroup'] = pd.Categorical(df_question2['AgeGroup'], categories=age_order, ordered=True)\n", + "\n", + "# Plot the graph with the updated order\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(\n", + " data=df_question2,\n", + " x=\"AgeGroup\",\n", + " y=\"AvgPrevalence\",\n", + " hue=\"Gender\",\n", + " palette=\"viridis\"\n", + ")\n", + "plt.title(\"Prevalence Rate of by Age Group and Gender\")\n", + "plt.xlabel(\"Age Group\")\n", + "plt.ylabel(\"Average Prevalence Rate (%)\")\n", + "plt.xticks(rotation=45)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1639260823.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_question3 = pd.read_sql(query_3, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName AvgHealthcareAccess AvgDoctorsPer1000 \\\n", + "0 Malaria 74.786759 2.732954 \n", + "1 Ebola 74.704818 2.778387 \n", + "2 COVID-19 74.702642 2.706471 \n", + "3 Parkinson's Disease 74.792696 2.742936 \n", + "4 Tuberculosis 74.985969 2.764276 \n", + "\n", + " AvgRecoveryRate \n", + "0 74.801839 \n", + "1 74.398003 \n", + "2 74.255789 \n", + "3 74.335690 \n", + "4 74.538776 \n", + " AvgHealthcareAccess AvgDoctorsPer1000 AvgRecoveryRate\n", + "AvgHealthcareAccess 1.000000 -0.087803 0.336193\n", + "AvgDoctorsPer1000 -0.087803 1.000000 -0.058986\n", + "AvgRecoveryRate 0.336193 -0.058986 1.000000\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", + " with pd.option_context('mode.use_inf_as_na', True):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", + " with pd.option_context('mode.use_inf_as_na', True):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", + " with pd.option_context('mode.use_inf_as_na', True):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n", + " self._figure.tight_layout(*args, **kwargs)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 3: \n", + "# Is there a correlation between healthcare access, the number of doctors per 1000 people, \n", + "# and the recovery rate for specific diseases?\n", + "\n", + "query_3 = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(HealthcareAccess) AS AvgHealthcareAccess,\n", + " AVG(DoctorsPer1000) AS AvgDoctorsPer1000,\n", + " AVG(RecoveryRate) AS AvgRecoveryRate\n", + "FROM HealthStatistics\n", + "GROUP BY DiseaseName;\n", + "\"\"\"\n", + "\n", + "df_question3 = pd.read_sql(query_3, connection)\n", + "print(df_question3.head())\n", + "\n", + "correlation_matrix = df_question3[[\n", + " 'AvgHealthcareAccess',\n", + " 'AvgDoctorsPer1000',\n", + " 'AvgRecoveryRate'\n", + "]].corr()\n", + "\n", + "print(correlation_matrix)\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", + "plt.title(\"Correlation Between Healthcare Access, Doctors, and Recovery Rate\")\n", + "plt.show()\n", + "\n", + "\n", + "sns.pairplot(\n", + " df_question3,\n", + " vars=['AvgHealthcareAccess', 'AvgDoctorsPer1000', 'AvgRecoveryRate'],\n", + " kind=\"reg\"\n", + ")\n", + "plt.suptitle(\"Relationships Between Healthcare Access, Doctors, and Recovery Rate\", y=1.02)\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\3706241603.py:17: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_question4 = pd.read_sql(query_4, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", + "0 Malaria 5.148557 51036.541119 0.656155\n", + "1 Hepatitis 5.111002 50134.584410 0.648586\n", + "2 Rabies 5.087610 50758.945881 0.648486\n", + "3 Tuberculosis 5.085437 49793.941319 0.650789\n", + "4 Measles 5.082200 50287.037513 0.649193\n", + " AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", + "AvgMortalityRate 1.000000 0.119010 0.742968\n", + "AvgPerCapitaIncome 0.119010 1.000000 0.346141\n", + "AvgEducationIndex 0.742968 0.346141 1.000000\n" + ] + }, + { + "data": { + "image/png": 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W1laIjo6Wl929e1dYuXKlwt9LKplK1WXZ7HtVVLmUBgA3btwAAHTu3FmhvHPnztDW1lYYzWpubp7rjckODg4Kr69duwYHBwdUqlQJGRkZyMjIgJaWFlq2bImrV6/mGsfw4cOxZMkSJCcn4/79+zhx4gQ2bdoEAAqXOdR1LBYWFgr362Uf18ePH/PcR4UKFXDgwAH5smXLFowfPx4HDx7EtGnT5G3cvXsXrVq1giAI8nNgbW0NGxsbXLlyJde2K1asCEdHR/k5unbtGlxdXeHm5iY/tkuXLsHU1BQNGjTA8+fPER0djTZt2sj3kZGRATc3NxgbG8v3c/36dTRq1AgGBgbyOsbGxmjYsKHS++Hi4qLw2tLSUukS7+d8emn27t27ePPmDby8vBTqpaSk4N69e+jYsaPCvVWmpqbw8PCQH2u2Tz9fn6pUqRK2bduGBg0aIDIyEleuXMH27dtx69YtlT87uenduzdevXolH0Hr7+8PIyMjtGvXLs/t/vkZ8fPzQ8OGDVGxYkUsWbIE/fv3l1+W1dPTg6+vLzp16oQ3b97g+vXr2LNnD86fPw/g85/769evQxAEpfe9TZs2SEtLQ3BwcK7bOTg4YNeuXbCyssKLFy9w8eJF+Pr64vnz50r7qlu3rsJ788/fj9TUVDx48AAeHh4K2+R26T03Xl5euHDhAn7//XcMHToUNjY2uHr1KiZOnAgfHx8IgqDyZyQ4OBhVq1ZV+IwYGhri1KlT+Oqrr5T2fePGDbi4uMDKykqhvFu3bnj79i2eP3+u0vkNCwvD+/fvlT4Lw4YNw6FDh5Ceni7qM57X792NGzego6ODDh06KMWcvT6bjY0NzMzM5K/Lly+PsmXLwtraWl5mbm6OxMREpXMDQP7Z+fR3du3atViwYEGu22Tz8PBQ+NuYvdja2gJQ7fc0v/Oqq6urtN/CfIfVq1cP+vr66N27N3766Sf8/fffsLe3x6RJk2BsbJzn8VLxV6oGVJiZmcHIyAivX7/+bJ2UlBSkp6fDzMwM8fHxALK+kP5JR0cHZcuWVfgjYGRklGt7ZcqUUXj94cMHhIeHo06dOrnWzy2Bio2NxQ8//ICzZ89CIpGgevXqaNiwIQDV5zMScyyGhoYKdbK/cHO7F+if9PT0ULduXYWypk2bQkdHB6tXr8aQIUNQvnx5yGQy/Pbbb/jtt9+U2tDX1/9s+61atcKRI0cAZCV37dq1Q+XKlXHkyBFIpVL8/fffaNGiBXR0dPDhwwcAwI8//ogff/xRqa2YmBgAWe/HiRMnch21amFhofDawMBA4bWWlpbK579mzZpwcHCQj5o9ceIE3N3dFb5sACAxMRGCIKB8+fJKbZQvX17pi+fTz1dujh49ipUrVyIqKgrm5uZwcHBQOhaxmjRpgqpVq8Lf3x9ubm7w9/dHp06d8nz/AOXPiKurK3r16oURI0Zg//79qFmzpnzd33//jUWLFuH58+cwMjKCvb29/Hg/d96z3/dPv8yyvXnz5rOx/fHHH9i4cSM+fPiA8uXLw8nJCYaGhkrn/NPfDy2trP+Bs0eIC4KAsmXLKtSpWLHiZ/f7KV1dXbRo0QItWrSQx7xw4UKcOnUKFy5cgKOjo0qfkQ8fPqBcuXIq7zc+Pl4h0flnm0DWlDiqnN/sY//cvsV+xvP6vYuPj0fZsmWVBplk/537Z1u5JSSq/P5kyz52Mec0m7m5udLfxk/l93takP0X5jusatWq2LFjBzZv3owDBw5g27ZtMDU1Rf/+/TFx4kSl+6ipZClVyR0AuLu7IzAwEGlpabl+Ee3btw8///wzDhw4IP/iffv2rcJ/s+np6YiLi1P6A64KExMTNGrUSN6T9Sk9PT2lsilTpuD58+fYsmULXFxcoKenh48fP2Lfvn0q71cTx6IqJycnAEB4eDiqV68OiUSCwYMH5/oF8ekX5z+1bt0aGzZswIMHD/DgwQPMmjULVapUQVpaGoKCghAYGChP5LKnF5g2bRoaNWqk1Fb2+TAxMUGzZs0wZMgQpTqfjmwtrE6dOsHX1xc//PADTp48iSlTpijVyR58kn1z/T+9ffsW5ubmovYZFBSE6dOnw9vbG8OGDUOlSpUAAEuXLv1sL5YqJBIJevToge3bt6Nfv34ICwvDzz//LLodQ0NDLFmyBF9//TVmzpyJ3bt3QyKR4OXLlxg3bhzatm2LTZs2wdraGhKJBDt37sTff//92fay3/etW7fm+g9XlSpVct3u2LFjWLJkCaZOnYqePXvKE/sJEybg3r17Kh+Pubk5tLS0lN6/7C/mvPTt2xc1a9ZUmM4IyOrV+emnn3D69Gk8ffoUjRs3VukzYmJikuugmVu3bsHMzAw2NjYK5WZmZnj79m2ubQJA2bJlVTq/2QOjPp2/LS4uDg8fPoSLi4vaPuNmZmaIi4tDZmamQoKX/c+bOv+uZR97bGysQg/Xs2fP8OHDBzRo0KDAbavye/rP/f/TP8/rpwr7dz97IKBUKkVwcDD27t2LjRs3wt7eXuXeaCqeStVlWQAYOnQoPnz4gNWrVyute/v2Lfz8/PDFF1+gTp068qTg+PHjCvWOHz+OzMzMAv0yN2rUCGFhYahZsybq1q0rX44cOYIDBw7kOs1BcHAwvLy80LhxY3nylz16Nbs3Lb/pETRxLKr6v//7PwBA9erVYWxsDEdHRzx//lzh+GvXro21a9fKLxPkdjx169aFhYUFNmzYAH19fTg5OaFixYqoVasW1q1bh7S0NLRs2RIAUKtWLZQrVw6RkZEK+6lUqRJWrFghH53cqFEjPH36FA4ODvI6Tk5O2LJli9onju3YsSM+fPiAjRs3Ij4+Xj7C+Z/KlCkDJycn/PXXXwq3DyQmJuLChQv5vk/ZvUjZbt++DZlMhm+//Vb+hZGZmSm/5Jxfbyzw+c9Wz549kZCQgJ9//hk2NjaoV69evm3lxtnZGX369MHt27fh7+8PALh//z7S0tIwcuRIVKtWTd5LkJ3YZffcfHq82T3acXFxCu97bGwsfvnll88mWcHBwTA1NcXw4cPliV1ycjKCg4NVOkfZ9PX14eLigtOnTyv0Lp47dy7fba2srHDy5MlcJ1LPHplsa2ur8mekYcOGiIiIUBiBmpaWhm+//RYHDhxQ2oebmxtu376tNAHu0aNHUaFCBYUrBnmd31q1aqFs2bLyS+jZjhw5gpEjRyI9Pb1Qn/F/atSoETIyMnDy5EmlmAGo9e9adlufvpfLly/HTz/9VKi2Vfk9VeW8fvr7UJi/+1u2bIGHhwekUin09PTQtGlT+eXnvK5+UclQ6nru6tevjwkTJmD16tV49uwZunfvjrJly+LJkyfw9fVFWlqaPPH74osv0KNHD6xZswYfP36Em5sbQkJCsG7dOjRu3Fh+2USMwYMH48iRIxg8eDCGDh2KsmXL4sSJE9i3b598GPunnJ2dcezYMdSpUweWlpa4desWNm/eDIlEIr+Ma2JiAiDrcmVuX7SaOJZPSaVS3LlzR/46IyMDN27cwK+//iqfXgIAJk+ejJEjR+K7775Dt27dkJmZCT8/P9y9e1c+0Wf28Vy4cAFmZmawt7eX35vo7+8Pd3d3ec9a48aNsXv3bjRs2FD+X7+2tjYmTZqEuXPnQltbGx4eHkhISMCGDRvw5s0beSxjx45F3759MWrUKPTr1w/6+vrYu3cvzp49izVr1hT6nPyTtbU16tati02bNqFdu3afvST03XffYdiwYRg5ciT69++P9PR0bN68GVKpFOPGjctzH9n/3f/555+oV68enJ2dAQDz589Hr169EB8fj507d8qn5khJScn3/pnc3gsgq5emWbNmuHz5cq69kGJMnDgRf/31F1asWIF27dqhTp060NHRwbJlyzB06FD5VA8XLlyQx53b8drZ2aFbt26YM2cOXr16BScnJ4SFhWHVqlWoWrWqwvxx/+Ts7Izdu3djyZIl8PDwQExMDHx9ffHu3TulS+f5mTx5MgYNGoTx48fj66+/RlhYGDZu3JjvdpMmTUJgYCB69+6NgQMHwsXFBVpaWrh37x78/PzQsmVL+T8vqnxGevbsie3bt2PMmDHw8fFB2bJlsW3bNqSnp+c6l+CQIUNw9OhRDB48GOPHj4e5uTn8/f1x/fp1LFq0CFpaWiqdX21tbXz77beYP38+ypUrhzZt2iAsLAxr1qzBN998AzMzs0J9xv+pZcuWaNy4MWbPno03b97A3t4eN27cwG+//YYePXqobZ46ALC3t0eHDh2wbNkypKamwsHBAZcuXcL58+cVJuYuCFV/T/M7r9m/D2fOnEHLli0L9Xe/SZMmWL58OcaNGyefX3HPnj3Q09NTuqeUSqCiGMXxb7hw4YIwYsQIoXnz5oKTk5PQrl07Ye7cucLr168V6mVkZAgbNmwQPD09hTp16ggeHh7CypUrhdTUVHmdT6ccyfbPkWj/FB4eLvj4+Ahubm6Cs7Oz0K1bN2H//v3y9Z+OToyMjBRGjRolNGjQQGjQoIHQq1cv4ciRI8KwYcOEXr16ybdbvHixUL9+fcHNzU2QSqVKcRX0WHIbifup3EZC1qlTR/Dy8hJ+/vlnISkpSaH+1atXhf79+wvOzs5CgwYNhIEDByqMFMvMzBQmT54s1K1bV+jcubO8/Pjx40qjv06cOCHY2toKmzdvVorr+PHjQo8ePQQnJyehUaNGwujRo4XQ0FCFOvfv3xeGDRsmuLi4CPXr1xf69Okjn84mt/cj26fTJHwqt+18fX0FW1tb4cyZM/KyT0e4ZW+bfX4aNmwojB49Wj7yL6+YoqOjhV69egl16tQRfvjhB0EQsqZP8PT0FJycnITWrVsL06dPF86cOaMwWi6v0bKfey8EQRC2bdsmODg4CG/evPnsecj2ud+TbNnTPGSPUv7rr7+Ezp07C3Xr1hXc3d2F8ePHCzdu3BDs7Ozko6pzO9709HRh3bp18s95y5YthR9++EGIi4v77L5lMpnwyy+/CC1bthTq1q0rtG3bVliwYIGwd+9ewdbWVj49xz/PU7bc3r8rV64IvXr1EurWrSt07NhROHfunEqjZWNiYoQFCxYI7du3F+rVqyc4OzsLXbt2FX777TchLS1NoW5+n5Hs8zN58mShYcOGgqurqzB06FAhJCREvv7Tv1EvX74UJkyYIDRs2FCoV6+e8PXXXyv8Log5v4cOHRI6d+4s1KlTR/D09BQ2bNigMFq8oJ/xT3/vUlJShCVLlggtWrSQT2/y+++/K4zQz+13NbfP46ejrz/dLi0tTVixYoX8c9K9e3fh1KlTQl5y+8zkRpXfU0HI+7wmJSUJgwcPFurUqSOf0qUw32F///230LdvX8HV1VWoV6+e8M033wg3btzI91io+JMIAp9ATES5Gz58OPT19bF+/fqiDoWIiFRU6i7LElHhrV+/HmFhYbh8+TJ27dpV1OEQEZEITO6ISMm5c+fw8uVLTJs2Da6urkUdDhERicDLskRERET/gk2bNuHy5ct5Pg87Li4OCxcuxKVLlyCRSNC5c2dMmzYtz6nEPsWeOyIiIiIN27lzJ1avXi2fcuhzfHx88PHjR2zZsgUJCQmYNWsWUlJSRM01yuSOiIiISEPevHmDH374AYGBgZ+drinb7du3cePGDZw4cUI+Efn8+fMxfPhwTJ48WT5PYn5K3STGRERERMXFgwcPoKuri6NHj+Y7GXxQUBAqVKig8ISZRo0aQSKRiHrqEHvuiIiIiPKQ2xOH/ikgIOCz69q0aYM2bdqotJ83b96gcuXKCmV6enowNzdHVFSUSm0AxTS5O65rV9QhEClZ3GFzUYdApOCs982iDoFIgUGfwj3NpjA0mju0rKq5tv/h48ePuT6DXl9fH2lpaSq3UyyTOyIiIqLiIq+eOXUyMDCAVCpVKk9LS/vsIy1zw+SOiIiISjyJrqSoQyg0S0tLnD17VqFMKpXiw4cPqFixosrtcEAFERERlXhaOhKNLf8WNzc3REdHIzw8XF5248YNAECDBg1UbofJHREREVERyMzMxNu3b5GamgoAqFevHlxdXTFp0iT83//9H65fv465c+eie/fuKk+DAjC5IyIiolJAoqulsUVToqKi4O7ujhMnTmQdg0SCdevWoWrVqhg0aBAmTpyIli1bYt68eaLa5T13RERERP+CJUuWKLyuWrUqHj16pFBWrlw5rFmzplD7YXJHREREJd6/eW9cccfLskRERESlCHvuiIiIqMQrDVOhqAt77oiIiIhKEfbcERERUYnHe+5yMLkjIiKiEo+XZXPwsiwRERFRKcKeOyIiIirxeFk2B3vuiIiIiEoR9twRERFRiSfRZs9dNvbcEREREZUi7LkjIiKiEk+LPXdy7LkjIiIiKkUK1XMnlUqhp6enrliIiIiICkSixZ67bAXqudu9ezfatGmD+vXrIyIiAj/88AM2bNig7tiIiIiIVCLR1tLYUtKIjvjYsWNYsWIFevToAV1dXQCAjY0NNm7cCD8/P7UHSERERESqE53c+fn5YdasWfj222+hpZW1+cCBAzF37lzs3btX7QESERER5UdLW6KxpaQRndyFhYWhYcOGSuWNGzdGVFSUWoIiIiIiooIRPaCifPnyCAsLg7W1tUL57du3UbFiRbUFRkRERKQqDqjIIbrn7uuvv8b8+fMREBAAAHj+/Dl2796Nn376CT179lR7gERERESkOtE9dyNGjEBiYiImT56MtLQ0jBo1Cjo6Oujbty9Gjx6tiRiJiIiI8lQS743TlALNczd58mSMGTMGT58+hSAIqFWrFoyNjfH27VtUqFBB3TESERERkYpEX5Z1cHBAbGwsDA0NUbduXTg7O8PY2BiRkZHw8vLSRIxEREREeZJoSzS2lDQq9dwdOHAAR48eBQAIgoBx48bJ57jLFhMTA1NTU/VHSERERJQPiVbJm2xYU1RK7tq2bYvg4GD5a0tLSxgYGCjUsbW1Rffu3dUaHBERERGJo1JyZ25ujsWLF8tfz5o1C8bGxhoLioiIiEgMToWSQ3Qf5uLFi3NN7KRSqULvHhERERH9+0SPln3w4AFmz56Nx48fQyaTKa0PCQlRS2BEREREquJUKDlE99wtWrQI2tramD17NnR1dTFnzhwMGjQIOjo6WLlypSZiJCIiIiIVie65e/jwIbZu3QpnZ2ccOnQItra26N+/PywtLbFv3z507NhRE3ESERERfRbvucshuudOJpPJJyquXr06Hj9+DADw9PREaGioeqMjIiIiIlFEJ3fVq1eXD5yoVasW7t27BwBITEyEVCpVb3REREREKpBoaWlsKWlEX5b19vbGrFmzAADt27fHl19+CQMDA9y6dQv169dXd3xEREREJILo5O6rr75C2bJlYW5uDhsbGyxevBi//fYbKleujDlz5mgiRiIiIqI88Z67HKKTOyDriRXZunbtiq5duwIAoqOj1RMVERERkQicCiWHyheSo6KisGPHDuzZswdv375VWr9z50507txZrcERERERkTgq9dxdu3YNY8aMQWpqKgBgxYoV2LFjB+zs7BAREYFp06bh9u3baNKkiUaDJSIiIsoNL8vmUKnn7pdffkHdunVx/vx5XLlyBc2aNcOyZctw+/Zt9OjRA8+ePcPChQuxZcsWDYdLRERERHlRqefuyZMn8PX1ReXKlQEAc+bMgaenJ7777js4Oztj8eLFqFSpkkYDJSIiIvqckjhliaaolNylpKTAyspK/rp8+fIAgHr16mHFihXQ4gklIiIiKhZUysoEQVBK4LS0tDBy5EgmdkRERFTkJFoSjS2FIZPJsGbNGrRo0QL169fHiBEjEBER8dn6L168wMiRI9GwYUO0bNkSa9asQUZGhqh9FiozMzY2LszmRERERKXahg0bsGvXLixYsAB79uyBTCbD8OHDc32qV3x8PL755ht8/PgRW7duxcqVK/HXX39h7ty5ovap8jx30dHRSEtLUyh78+YNtLW1FcqqVKkiKgAiIiKiwiqOo2WlUin8/PwwZcoUtG7dGgCwatUqtGjRAqdPn0aXLl0U6h8+fBgpKSn45ZdfYGFhAQBYuHAh+vfvj7Fjx6Jq1aoq7Vfl5K53794KrwVBgLe3t8JriUSCkJAQVZskIiIiUovimNyFhoYiOTkZTZs2lZeZmprC0dERN2/eVEruwsPDUatWLXliBwCOjo4AgKCgIPUmd9u2bVOpMSIiIqLSxtPTM8/1AQEBuZZnP7kre7aRbBUrVsz1qV4VK1ZETEwMMjMz5VdGX716BQB4//69yvGqlNw1atRI/vOzZ89gY2Oj8g6IiIiINK04ToXy8eNHAICenp5Cub6+PuLj45Xqd+zYERs2bMDixYsxefJkpKSkYOHChdDR0UF6errK+xX9bNnOnTvD2dkZPXv2ROfOnWFiYiK2CSIiIqIS43M9c/kxMDAAkHXvXfbPAJCWlgZDQ0Ol+jVq1MAvv/yCuXPnYufOnShTpgy+/fZbPH36VFS+JTrNPXHiBJo0aYKNGzfC3d0dkydPxuXLlyEIgtimiIiIiNRCS1uisaWgsi/HxsTEKJTHxMR89uEPbdq0weXLl3Hx4kVcu3YNffr0wbt372Btba36uRAbaK1atTB58mScP38ev/76K/T19TF58mS0bt0aq1atwsuXL8U2SURERFTq2Nvbw9jYGIGBgfKyhIQEPHz4EG5ubkr1g4KC4O3tjYyMDFSsWBF6eno4ffo0DA0N4erqqvJ+C3yBWiKRoFmzZvD29kafPn0QHx+PLVu2oGPHjhg9ejSioqIK2jQRERGRKMVxEmM9PT0MGDAAy5cvR0BAAEJDQzFp0iRYWlrCy8sLmZmZePv2LVJTUwFkdaA9evQIP//8MyIiInD27FksXLgQo0aNEjW3cIGSuzdv3mDz5s3o0qULevXqheDgYMyaNQtXr17FyZMnkZqaivHjxxekaSIiIqJSw8fHB71798bs2bPRr18/aGtrw9fXF7q6uoiKioK7uztOnDgBALCwsMDGjRtx9+5ddOnSBUuWLMH48eMxevRoUfuUCCJvlhs0aBBu3rwJCwsLfPnll+jVqxdq1aqlUOfUqVOYOXMmbt26JSqYbMd17Qq0HZEmLe6wuahDIFJw1vtmUYdApMCgz5Qi23fY0G4aa7um31GNta0JokfLmpiYYN26dWjVqpXS0ymy1atXDzt37ix0cERERESqKI6TGBcV0ZdlTUxM0KhRI6XE7sOHDxg7diwAwNLSEg4ODuqJkIiIiIhUplLPXXBwMCIiIgAA/v7+qFOnjtKNfc+ePcO1a9fUHyERERFRPthzl0Ol5E4ikWDGjBnynxcuXKhUp0yZMhg2bJh6oyMiIiIiUVRK7lxdXREaGgoga86Wy5cvo3z58hoNjIiIiEhVxfHxY0VF9ICK7CSPiIiIiIoflZK7gQMHYt26dTA1NcXAgQPzrLtt2za1BEZERESkKt5zl0Ol5M7Kygpa/+vurFKlCiQSnkAiIiKi4kil5G7x4sXyn5csWaKxYIiIiIgKgvfc5VApubt5U/VZ0HN7EC4RERGRRvGqopxKyZ23tzckEgnye1KZRCJBSEiIWgIjIiIiIvFUSu4CAgI0HQepyMCqElre+RNBvcYh9tKNPOtW+bozvpg5BmVqWePji1d4umwzXm33V6hj1sAJDj9Pg1kDJ2QkJCNy2yE8nr8OQnq6Bo+CSgs3l7IY6V0DNasZIfaDFIePv8buw5EqbVu7ljF+W+GCvqNuIDomTWGdR/Py6N/LGtWtyiAxOQNBdz9g49bniPvAzyXl7erTSKw7exPPYuJgYWSIvo3rYGDzurneK37k1mPMPXzxs20t6NkK3VxslcqXnbiGHdfu4+6CEWqNnQqHAypyqDygQhVpaWn5V6ICM6hqiUbHfaFrbppvXcseXqi/bTnC1m7D21N/w/LLtqjv9zNkaVJE7TsBADCsWRWNT/6BuOt3cKvfRBjb28BuwSToWpjj/rgfNH04VMLVsTPB0jlOCLj8Fr/veAFnRzOMGVwL2toS7DgQkee2NauVwbK5TtDRUb5HxrNFBfw4zRH+f73G5u0vUM5cD8MH1MCan+ph2MRgSNPzvoJA/13/F/EG3+44hfZOtTDOsyFuh0dj1elAZMhkGNayvlL9FnbW2D5S+WHz8/z/RnKaFO621krrgl9EYef1+5oIn0htRM9zFxcXh40bN+Lx48fIzMwEAAiCgPT0dDx9+hRBQUFqD/I/TyJBVe/ucPh5OqDiPyZ2CyYj6sBJhEzJGgzz7sxl6JY1g928CfLkzmbqCGQkJiOo51gI6el4e/ISMj+mwumXOXi6ZCNSI6I0dURUCgztXwNPnidh4cqsuS8Db8VBR1sC76+qYd/RV5BKZUrb6OhI0LuLFYZ9UyPX9QDg/VU1XL35Hss3PJGXvXyVgs0rXNHMrRwuXH2nmQOiEm/DuWDYVy6HRb09AADNa1sjPVMG30t38E1TJxjoKn7lWRgZwsLIUKFs57X7CHv7AVtHdFNal5KWjrmHLqKiiRHeJCRr9mBINA6oyCH6TPz444/w9/dH2bJlERQUhEqVKiE5ORl37tzByJEjNRHjf56psx2c1v+IyB3+uDN4Wr71DatbwdiuJqKPnFEojzp0Cka1a6DMF9UBABXauSPmr4sKl2CjD56ERFsbFbzc1XsQVKro6kjgUtccl64rJlrnr76DURkdODua5bpd04YWGNKvOrbvf4lftz5XWi+RAEF34nD0lOI/FuGRKQAAq8qGStsQAYA0IxNBYVFo41BDobxdnVpITkvH7fDofNt4n5SC9QFB+KqRA5ytKyqtX3kqEOVNyuBLV+VLtUTFieieu2vXruHnn39G69at8ejRIwwbNgz29vaYM2cOnj59qokY//M+vozCBft2SH31BhYtG+Vb39jeBgCQ/OSFQnnKs/Cs9bY1kRoZjTI1qiL5SZhCHem7OKTHJ8LYtqZ6gqdSqYqlIfR0tfDy1UeF8levs15XszJE0J04pe1CHiei97BAJCZloKNnJaX1ggCs81NO+lo0yXrcYdhL9pZQ7iJjE5CeKUP1cor/WFQrl3Uby4t38Wj6RdU829hwLhhaEgnGezZUWnftaSSO3XmCvWN74K//e6a+wElteM9dDtE9d8nJybCzswMA1KpVS/44sgEDBiAwMFC90REAID0uHqmv3qhcX8fMGACQkZCkUJ6RmPXFqGNqDF0zk1zrZNfTMTUuaLj0H2BspA0ASEnJUChP+Zj12qhM7v83vouVIjEpI9d1n1PF0gDjhtbC42eJuBYUW4Bo6b8gKU0KADA20FMoL6OnCwBI/t/6z3mf9BHHbj9B38aOMDXUV1iXmCrFPP9LGOvZADXKm6svaCINEd1zV6lSJbx69QqVK1dGjRo18OjRIwCAoaEh4uPj1R4giZfffQeCTAbkW4c3rdPn5feUmvymTVJVtaqGWDXfGZmZAmYveQg1NUulUH5/svL7zB4ODkWmIKB/UyeldUtPXIOlmTG8m9YtTIikYbznLofoM+Hl5YWZM2ciODgYzZo1w+HDh3Hy5EmsWbMG1atX10SMJFJGfCIAQMfESKE8uzcuIz5J3mP3aZ3setltEOUm+X89dmUMtRXKy/yvxy4pWVzvXG5cnMywcakLAMBn1l28jk4tdJtUehnr595Dl/3a5JMevU+deRCGpjZWSoMoLj4Kx6l7zzCnmztkgoCMTBlk//svIyNTBhn/ES42JFoSjS0ljeieu0mTJiEjIwOvX79G165d4eXlhYkTJ8LExARr1qzRRIwkUtLjrPvoythUR8KdnEmljWyyku+k0GfITE7Bx8holLFRTMj1KlhA19QYSaG8p4Q+71XUR2RkCkoDHKr+73V4REqh2m/bsgJmTbRHeGQKpsy7h3exeV9SI7K2MIW2lgQRsQkK5S//97pmBfPPbvsmIRmhUe8xIJdeu7MPwpCWkYle6w4qrWswzxfdXGpjQc/WhYqdSN1EJ3fv3r3DzJkzofW/7s/58+dj8uTJMDY2xsOHD9UeIImX8uwlUp5HoHLP9og+eFJebtnDC0mPw/Ax/BUA4N3ZK6jYqTVCpiyGTJo1YtayZ3vIMjLw7vz1IomdSgZpuoC79z+gVbMKCpMWt25WHolJGXj4pOA9v00aWGD2ZAfcexiP6QvuI+VjpjpCplJOX1cHrtUtEfDwBQY1d5Zfhj37IAwmBnpwslIe/ZrtXkQMAKB+dUuldaM9GqBv4zoKZQeDQnEwKBS7RneHeRkDNR4FFUZJ7GHTFNHJnaenJ65cuQILCwt5mbm5OcLDw+Ht7Y27d++qNUDKn46JEYwdv0DKs5eQvssaofjkp/Wo57sE6bEf8ObYOVTq5okqfTrhVv+J8u2eLf8dVb7uDLc/f0fY6j9gZFsDdgsmI+L3fZzjjvK1dd9LrF7gjAXTHXH8bDSc7E3Rr6c1Nm4NQ1qaDGUMtVGzWhm8ikrFhwTVniyhpyvBjG9t8fFjBrbue4ma1coorI95l4a379mLR7kb0doFo7acwNS9Aejuaoc7L99g65X/w4R2jWCop4OkVCmev41DVQtThcuvT9/EQk9HG9YWyhPEW5U1gVVZE4WyS49eAgDqWFXQ7AERFZBKyd3OnTvh5+cHIOtG6V69esl77rIlJCSgSpUq6o+Q8mXqUgdNA7bj7rAZiNx2GAAQue0wtPT1UGvSUFQd3AspzyNwZ/A0RO3/S75d8qPnCOw4FA4/T4Pr3jWQvotD2C9b8HgeL69T/m793wfMXvwAQ/vXwKJZdfDufRo2/PEce/yzevLsbIyxdnF9/LQ6FH8FqDba28nBDOXLZY1UXL3AWWm9364X8Nsdrr6DoFKlcS0rrOjbFr+eu4WJu06joqkRJrVvjEHNsz5LIVHvMNzvOOb3aKUwV9375I/53pNHJQAHVMhJBBWGtX38+BG+vr4QBAHr16/HkCFDYGSkeCO+kZERvLy8VH5UWV6O69oVug0idVvcYXNRh0Ck4Kz3zaIOgUiBQZ8pRbbvmFmDNdZ2xZ+2aKxtTVCp587Q0BDjx48HANy8eRPjxo2DsTHnQSMiIqLiIb/pbv5LRPdhPnnyBOHhvCxCREREVByJHlBhYWGBxETOgUZERETFBycxziE6uWvZsiVGjRqFVq1aoXr16tDXV3xMS/blWyIiIqJ/C6dCySE6uTt16hTKlSuH+/fv4/79+wrrJBIJkzsiIiKiIiQ6uTt37pwm4iAiIiIqOF6WlROd3AFZc939/fffePz4MXR0dFC7dm00adIE2tra+W9MRERERBojOrn78OEDhg0bhgcPHsDExASCICApKQl16tTBH3/8AVNT5Rm+iYiIiDSJ99zlEN2H+fPPPyM1NRX+/v64efMmgoKC4O/vD6lUihUrVmgiRiIiIiJSkejk7vz58/jhhx9gb28vL7O3t8fs2bNx9uxZtQZHREREpAqJREtjS0kjOuKMjAyUL19eqbx8+fJISkpSS1BEREREVDCik7s6depg9+7dSuW7d++Gg4ODWoIiIiIiEkVLormlhBE9oGLixIkYOHAg7ty5A1dXVwBAcHAwQkND8fvvv6s9QCIiIqL88AkVOUSfCRcXF+zcuRNWVla4fPky/v77b1hbW2PXrl1o0qSJJmIkIiIiIhUVaJ47Z2dnrF69Ws2hEBERERUMp0LJoVJyt27dOpUb5OPHiIiIiIqOysmdlpYWLC0t86zHZ8sSERFRkSiBU5ZoikrJXZ8+fXDmzBkAQOfOndG5c2eFee6IiIiISJlMJsO6deuwf/9+JCYmws3NDXPnzoW1tXWu9d+/f49FixbhypUrEAQBzZo1w4wZM1CpUiWV96lSmjt//nxcvnwZCxYsQGxsLAYNGoROnTph/fr1ePHihco7IyIiItIEiZZEY0thbNiwAbt27cKCBQuwZ88eyGQyDB8+HFKpNNf6EydOxOvXr/HHH3/gjz/+wOvXrzFu3DhR+1S5D1NbWxvNmzfHTz/9hMuXL2Pq1KkIDw9Hr1690KNHD/z22294/fq1qJ0TERERlVZSqRR+fn7w8fFB69atYW9vj1WrViE6OhqnT59Wqp+QkIAbN25gxIgRcHBwgKOjI0aOHIl79+7hw4cPKu+3QBeodXV14eHhgaVLl+LatWvo06cPNm3aBE9Pz4I0R0RERFQ4WlqaWwooNDQUycnJaNq0qbzM1NQUjo6OuHnzplJ9AwMDGBkZwd/fH0lJSUhKSsKRI0dQs2ZNmJqaqrzfAk2FAgAxMTE4ffo0Tp48ieDgYFSvXh3e3t4FbY6IiIiowCQSzU2Fkl/nVUBAQK7l0dHRAIDKlSsrlFesWFG+7p/09PSwZMkSzJ07Fw0bNoREIkHFihWxY8cOaIlIMkUld2/evMGpU6dw8uRJ3L59G9bW1ujYsSNmz57NARZERERE//Dx40cAWUnbP+nr6yM+Pl6pviAICAkJgYuLC4YPH47MzEysWrUKY8eOxe7du2FsbKzSflVK7rZs2YJTp07h7t27qFKlCjp27IhZs2ahTp06Ku2EiIiISKM0+Pixz/XM5cfAwABA1r132T8DQFpaGgwNDZXq//XXX9ixYwfOnz8vT+Q2btwIDw8PHDhwAIMHD1Zpvyold0uWLIGuri5atGiBunXrAgDOnz+P8+fPK9XlPHdEREREOZdjY2JiUK1aNXl5TEwM7OzslOoHBQWhZs2aCj10ZmZmqFmzJsLDw1Xer0rJXZUqVQAAT548wZMnTz5bj5MYExERUVEojo8fs7e3h7GxMQIDA+XJXUJCAh4+fIgBAwYo1be0tMTx48eRlpYGfX19AEBKSgoiIyPRrVs3lferUnJ37tw5lRskIiIioqx77QYMGIDly5fDwsICVlZWWLZsGSwtLeHl5YXMzEzExsbCxMQEBgYG6N69O3x9fTFx4kRMmDABALB69Wro6+ujZ8+eKu+Xz+ogIiKikk+ipbmlEHx8fNC7d2/Mnj0b/fr1g7a2Nnx9faGrq4uoqCi4u7vjxIkTALJG0e7atQuCIGDQoEEYMmQIdHV1sWvXLpiYmKh+KgRBEMQEaW9v/9nhxrq6urC0tMSXX36JsWPHFnhY8nFd5evQREVtcYfNRR0CkYKz3srzZBEVJYM+U4ps30kbZmisbeOxSzTWtiaInufu+++/x4oVK9CvXz80bNgQAHD79m3s3LkT/fr1g5mZGbZt2wY9PT2MGDFC7QETERERKSmG99wVFdHJ3fHjx/H999/j66+/lpe1bdsWtWrVwoEDB7B7927Url0bS5cuZXJHRERE9C8TfSE5JCQETZo0USpv2LAhHjx4AABwdHREVFRU4aMjIiIiUoFEoqWxpaQRHXHVqlVznd/u/PnzsLS0BAC8fPkSFhYWhY+OiIiISBVaEs0tJYzoy7JjxozBjBkzcO/ePbi4uEAmk+Hu3bs4efIk5s+fj7CwMMycORNeXl6aiJeIiIiI8iA6uevatSuMjY3h5+eHlStXQkdHB3Z2dti4cSNatGiBmzdvomvXrpzMmIiIiP41Eg0+fqykEZ3cRUREwMPDAx4eHrmud3Nzg5ubW6EDIyIiIiLxRKe57dq1wzfffIODBw8iJSVFEzERERERiSORaG4pYUQnd9u3b4eNjQ2WLl2K5s2bY9q0abh27ZomYiMiIiIikUQnd25ubpg/fz4uX76MpUuXIjU1FaNHj0abNm2wZs0aTcRIRERElDctLc0tJUyBI9bV1UW7du0wb948TJgwAfHx8di0aZM6YyMiIiIikUQPqACAlJQUnDlzBseOHcP169dhZWWFYcOGoUePHuqOj4iIiCh/JfDeOE0RndxNmjQJFy5cgEQiQYcOHbBlyxb5M2ZTU1PVHiARERFRfjgVSg7Ryd27d+/www8/oH379jA0NAQAPH36FHv27MHRo0dx48YNtQdJRERERKoRndxt374dACCVSnH06FHs2bMHt2/fhkQiQdu2bdUeIBEREVG+SuAzYDVFdHIXHh6OPXv24PDhw/jw4QMkEgl69uyJ0aNHw9raWhMxEhEREZGKVEruMjMzcfr0aezduxeBgYHQ1taGu7s7OnfujJkzZ2LIkCFM7IiIiKjoaHFARTaVkrtWrVohMTERTZo0wYIFC9CuXTuYmZkBAGbMmKHRAImIiIhIdSold4mJiShXrhyqVKkCc3Nz+UAKIiIiouJAwnvu5FRK7q5cuYITJ07g4MGD2L17N4yMjODp6YlOnTpBwnlliIiIiIoNldJcY2Nj9OnTB3v37sXx48fRp08fXL16FaNHj0ZmZia2bNmC8PBwTcdKRERElDstieaWEkZ0H6aNjQ2mT5+OixcvYv369fD09IS/vz86duyI4cOHayJGIiIiorxJtDS3lDAFevwYAGhra8PT0xOenp6IjY3FkSNHcOjQIXXGRkREREQiqSUdtbCwwJAhQ3Ds2DF1NEdEREQkjkSiuaWEKXl9jURERET0WQW+LEtERERUbGixvyobzwQRERFRKcKeOyIiIir5SuCoVk3hmSAiIiIqRdhzR0RERCVfCZxsWFOY3BEREVHJx8uycjwTRERERKUIe+6IiIio5CuBkw1rCnvuiIiIiEoR9twRERFRycdJjOV4JoiIiIhKEfbcERERUcnHe+7k2HNHREREVIqw546IiIhKPs5zJ8fkjoiIiEo+DqiQ45kgIiIi0hCZTIY1a9agRYsWqF+/PkaMGIGIiIhc665duxZ2dna5LjNnzlR5n0zuiIiIqOSTSDS3FMKGDRuwa9cuLFiwAHv27IFMJsPw4cMhlUqV6g4dOhSXL19WWIYNG4YyZcpg8ODBKu+zWF6WXdxhc1GHQKRk5smRRR0CkYJNI0OLOgQiBROKOoBiRiqVws/PD1OmTEHr1q0BAKtWrUKLFi1w+vRpdOnSRaG+kZERjIyM5K8fPnyIbdu2YcGCBbCzs1N5v+y5IyIiopJPoqW5pYBCQ0ORnJyMpk2bystMTU3h6OiImzdv5rv9/Pnz0bBhQ/To0UPUfotlzx0RERFRceHp6Znn+oCAgFzLo6OjAQCVK1dWKK9YsaJ83eecP38et2/fhr+/v+qB/g+TOyIiIir5iuEkxh8/fgQA6OnpKZTr6+sjPj4+z23/+OMPeHh4wMHBQfR+mdwRERER5eFzPXP5MTAwAJB17132zwCQlpYGQ0PDz273+vVrBAYGYvPmgo1B4D13REREVPJpaWluKaDsy7ExMTEK5TExMahUqdJntzt79iwsLCzQvHnzAu2XyR0RERGVeIJEorGloOzt7WFsbIzAwEB5WUJCAh4+fAg3N7fPbhcUFIRGjRpBR6dgF1gLlNxdvHgR3t7ecHd3x6tXr7B27VocOXKkQAEQERERlUZ6enoYMGAAli9fjoCAAISGhmLSpEmwtLSEl5cXMjMz8fbtW6Smpips9/DhQ9jb2xd4v6KTuytXrmD8+PGwsrJCQkICZDIZMjIyMHPmzAKN6CAiIiIqtGI4FQoA+Pj4oHfv3pg9ezb69esHbW1t+Pr6QldXF1FRUXB3d8eJEycUtnn79i3Mzc0LvE/R/X1r167Fd999h8GDB+PUqVMAgEmTJsHY2Bi+vr7o3r17gYMhIiIiKk20tbUxdepUTJ06VWld1apV8ejRI6Xyu3fvFmqfotPRR48eoU2bNkrlHTp0wMuXLwsVDBEREVGBFNOeu6IgOmITExOlUR8A8PTpU5iZmaklKCIiIiIqGNHJXdeuXbFo0SKEhoZCIpEgOTkZly5dwoIFC9CpUydNxEhERESUp+I4WraoiL7nbuLEiYiOjpbfW9ejRw8IgoDWrVtj0qRJ6o6PiIiIiEQQndzp6upixYoV8PHxQUhICGQyGWxtbfHFF19oIj4iIiKi/JXAe+M0pcCPHzMyMoKzs7P89evXrwEAVapUKXxURERERGKUwMunmiI6ubt48SJmzpyJuLg4hXJBECCRSBASEqK24IiIiIhIHNHJ3U8//QRnZ2f0799f4SG4REREREWmEM+ALW1EJ3cxMTHYuHEjatWqpYl4iIiIiKgQRKe5TZo0wYMHDzQRCxEREVGBcCqUHKJ77ubNm4fevXvj77//hrW1NSSfHPT48ePVFhwRERERiSM6uduwYQPevXuHv//+G4aGhgrrJBIJkzsiIiL693EqFDnRyd2ff/6JxYsXo0ePHpqIh4iIiIgKQXRyZ2hoCFdXV03EQkRERFQgAnvu5ESfif79+2Pt2rX4+PGjJuIhIiIiEk8i0dxSwojuuQsKCsLNmzdx8uRJlCtXDjo6ik0EBASoLTgiIiIiEkd0ctegQQM0aNBAE7EQERERFQgvy+YQndxxNCwRERFR8SU6uQOA+/fvw9fXF48fP4aOjg6++OILDBo0CM7OzuqOj4iIiCh/JfDeOE0R3Yd548YN9O3bF+Hh4WjevDnc3NwQFhaG/v37Izg4WBMxEhEREZGKRPfcrVq1Cr169cKPP/6oUP7jjz9i9erV2L59u9qCIyIiIlIJ77mTE30mHj58iIEDByqVDxgwAPfv31dLUERERERUMKJ77sqWLYu4uDil8tjYWOjp6aklKCIiIiIxBN5zJye6587DwwMLFizAs2fP5GVPnz7FwoUL0aZNG7UGR0RERKQSiZbmlhJGdM/dxIkTMWTIEHTp0gUmJiYAgISEBDg4OGDatGlqD5CIiIiIVCc6uTMzM8OBAwdw+fJlPH78GIIgwM7ODu7u7tDSKnnZLREREZV8AnhZNluB5rk7evQo9PX1MXz4cADAhAkTEB8fj65du6o1OCIiIiISR3RX27Zt2zB37lwkJSXJyywtLTFnzhzs27dPrcERERERqUKQaGlsKWlER7x9+3YsWbIEX331lbxs5syZWLBgAfz8/NQaHBERERGJI/qybExMDJycnJTK69evj9evX6slKCIiIiJRSmAPm6aIPhM1atTAuXPnlMovXryIqlWrqiUoIiIiIioY0T13w4YNw4wZM/DgwQPUq1cPAHDv3j0cP34cCxYsUHuARERERPnhJMY5RCd33bp1g46ODrZt24azZ89CV1cXNjY2WLt2LTw8PDQRIxERERGpqEBToXTq1AmdOnVSdyxEREREBVISR7VqSoGSu1evXuHu3buQSqVK67p3717YmIiIiIjE4WVZOdHJ3b59+/Djjz8iMzNTaZ1EImFyR0RERFSERCd3GzduRN++fTFp0iQYGxtrIiYiIiIiUXhZNofoM/H27VsMGTKEiR0RERFRMSQ6uXNwcMDTp081EQsRERFRgQiQaGwpaURflh0+fDjmz5+PiIgI1KpVC3p6egrr3dzc1BYcEREREYkjOrnz8fEBAPz0009K6yQSCUJCQgofFREREZEIvOcuh+jkLiAgQBNxEBEREZU6MpkM69atw/79+5GYmAg3NzfMnTsX1tbWudZPT0/HmjVr4O/vj8TERDg5OWHWrFlwcHBQeZ+i01wrK6s8FyIiIqJ/nUSiuaUQNmzYgF27dmHBggXYs2cPZDIZhg8fnutcwQAwb948HDp0CIsWLcLBgwdhYWGBESNGIDExUeV9qtRzt27dOpUbHD9+vMp1iYiIiNRBEN9fpXFSqRR+fn6YMmUKWrduDQBYtWoVWrRogdOnT6NLly4K9SMiInDw4EFs3LgRLVq0AAAsXLgQ3bt3x/3799G0aVOV9qtScnfo0CGVGpNIJEzuiIiIiACEhoYiOTlZISkzNTWFo6Mjbt68qZTcXblyBSYmJmjZsqVC/XPnzonar0rJndhGiYiIiP5NggYfP+bp6Znn+s+NR4iOjgYAVK5cWaG8YsWK8nX/FBYWBmtra5w+fRqbN2/Gmzdv4OjoiBkzZsDGxkbleItfHyYRERFRKfDx40cAUJo2Tl9fH2lpaUr1k5KSEB4ejg0bNmDy5Mn49ddfoaOjg/79++P9+/cq71f0aNm0tDTs3bsXjx8/Vni+rFQqxf3793Hq1CmxTRIREREViianQinoTCEGBgYAsnKk7J+BrFzK0NBQqb6Ojg6SkpKwatUqeU/dqlWr0KpVKxw+fBjDhw9Xab+ik7uFCxfC398fjo6OuHfvHlxcXBAeHo73799j8ODBYpsjIiIiKpWyL8fGxMSgWrVq8vKYmBjY2dkp1be0tISOjo7CJVgDAwNYW1sjMjJS5f2KTnMDAgKwePFi7N27F1ZWVliwYAHOnz8PT09PpKeni22OiIiIqNCK4+PH7O3tYWxsjMDAQHlZQkICHj58mOsTvdzc3JCRkYF79+7Jy1JTUxEREYHq1aurvF/RyV1CQgJcXV0BAF988QUePnwIXV1djBo1CufPnxfbHBEREVGppKenhwEDBmD58uUICAhAaGgoJk2aBEtLS3h5eSEzMxNv375FamoqAKBhw4Zo1qwZpk+fjqCgIDx9+hTTpk2DtrY2vvzyS5X3Kzq5s7CwkN/UV6NGDTx+/BgAULZsWbx7905sc0RERESFJki0NLYUho+PD3r37o3Zs2ejX79+0NbWhq+vL3R1dREVFQV3d3ecOHFCXn/t2rVo1KgRxo8fj969eyMpKQnbtm2DhYWFyvuUCIIgiAly9uzZCA0NxeLFixEeHo5Fixbhl19+wYkTJ3Du3Dm1DKhw73qx0G0QqdvMkyOLOgQiBU8PhRZ1CEQKJnTV3HQk+Xn1+F7+lQrIyrauxtrWBNHp6LRp01CxYkXcuHEDnp6esLGxwVdffYXt27fDx8dHEzESERERkYpEj5Y1NTXFhg0b5K83b96MkJAQlC9fHhINTiBIRERE9DmFGfhQ2ojuuXNwcEBsbKz8tUQigaOjI6RSKby8vNQaHBERERGJo1LP3YEDB3D06FEAgCAIGDduHHR1dRXqxMTEwNTUVP0REhEREeVDk5MYlzQqJXdt27ZFcHCw/LWlpaXCTMsAYGtri+7du6s1OCIiIiISR6XkztzcHIsXL5a/njVrFoyNjTUWFBEREZEYvOcuh0rJ3evXr1G5cmVIJBJ8++23SEhIQEJCQq51q1SpotYAiYiIiEh1KiV3np6euHz5MsqVK4c2bdrkOipWEARIJBKEhISoPUgC3FzKYqR3DdSsZoTYD1IcPv4auw+r9py52rWM8dsKF/QddQPRMWkK6zyal0f/XtaoblUGickZCLr7ARu3PkfcBz5KjlRnYFUJLe/8iaBe4xB76Uaedat83RlfzByDMrWs8fHFKzxdthmvtvsr1DFr4ASHn6fBrIETMhKSEbntEB7PXweBjzikfLx8dBmBf61G3JunMDQuB6fm/VG/1dDPzuaQkZ6GoDPr8fjWn0hNjkW5KnZw8xqPanYtFOr8PqsBZLIMhW119Mpg5KJbGj0eUh3vucuhUnK3detWmJmZAQC2bdum0YBIWR07Eyyd44SAy2/x+44XcHY0w5jBtaCtLcGOAxF5bluzWhksm+sEHR3lD71niwr4cZoj/P96jc3bX6CcuR6GD6iBNT/Vw7CJwZCmi5rfmv6jDKpaotFxX+ia5z+gyrKHF+pvW46wtdvw9tTfsPyyLer7/QxZmhRR+7JmaDesWRWNT/6BuOt3cKvfRBjb28BuwSToWpjj/rgfNH04VIJFh9/BCb8x+KJeRzTuMAFRYcG4dnw5BFkmXNvkPgn5+f2zEf7wPJp0nAyzCjXwKMgfx31H48vRW1GlVkMAQGz0Y8hkGWjbfxlMy1nLt5VItP+V4yLV8LJsDpWSu0aNGuX684cPH6CtrQ0TExP1R0ZyQ/vXwJPnSVi4Mms2+sBbcdDRlsD7q2rYd/QVpFKZ0jY6OhL07mKFYd/UyHU9AHh/VQ1Xb77H8g1P5GUvX6Vg8wpXNHMrhwtX+Tg5yoNEgqre3eHw83So+jfVbsFkRB04iZApWffwvjtzGbplzWA3b4I8ubOZOgIZickI6jkWQno63p68hMyPqXD6ZQ6eLtmI1IgoTR0RlXA3T61F+SoOaNt/KQCgmn0LyDIzEBywCc4tBkJHV3EgYEJsJJ7cOoYWPebAqXl/AEDVL5og+sUt3L+6S57cvXsdCi0tHdg4t4e2jt6/e1BEBVCgPszff/8dLVu2RNOmTdGoUSO0a9cO+/btU3dsBEBXRwKXuua4dF0x0Tp/9R2MyujA2dEs1+2aNrTAkH7VsX3/S/y69bnSeokECLoTh6OnFL8owyNTAABWlQ3VdARUWpk628Fp/Y+I3OGPO4On5VvfsLoVjO1qIvrIGYXyqEOnYFS7Bsp8UR0AUKGdO2L+uqhwCTb64ElItLVRwctdvQdBpUZmhhSvnt1ArbptFcprObdHeloyosKClbYxMq2I3hP2w9a1m7xMoqUFiZY2MjOk8rJ3r0JgXrEmE7tirrg+W7YoiH5CxebNm7FhwwZ4e3vDxcUFMpkMwcHBWLRoEQCgT58+ag/yv6yKpSH0dLXw8tVHhfJXr7NeV7MyRNCdOKXtQh4novewQCQmZaCjZyWl9YIArPNTTvpaNCkPAAh7mayO8KkU+/gyChfs2yH11RtYtGyUb31jexsAQPKTFwrlKc/Cs9bb1kRqZDTK1KiK5CdhCnWk7+KQHp8IY9ua6gmeSp349xGQZabDrEINhXKz8tUAAB9iwmBt21xhnbaOHipaZz0zVJDJkJTwBncv/oGE9xFo0WO2vF52z93RzUMRHXYb2jp6sKnXHs26TIOeAWeOoOJHdHK3c+dOzJs3T2FOu7Zt28LGxgabN29mcqdmxkZZ93SkpCjeyJvyMeu1UZnc38J3sdJcy/NSxdIA44bWwuNnibgWFJv/BvSflh4Xj/S4eJXr65hlfQlmJCQplGckZv0joWNqDF0zk1zrZNfTMeUXKeVOmpoIANDTV/yM6OkbZa1PU/5M/dOt878h8K9VAADHxl+hau1mALIGC76PegRAgEPj3mjoOQYxEfdw88x6xL15hu5jtkOiVfJ6dkoj3nOXQ3RyFx8fj3r16imVu7m5YcGCBWoJinLk97xeQVDPoIdqVQ2xar4zMjMFzF7yEGpqlkguvy9AQSYD8q3DDyblThByv7c4mySfS2s1HD1QuYYrol4EI+jMBmSkp2XduycI6DRkAwyNLWBhWRsAUMXGDWVMK+Dsrql4+egyqju0VNtxEKmD6H83PD09sX37dqXyY8eOoU2bNmoJinIk/6/Hroyh4qisMv/rsUtKzlDaRiwXJzNsXOoCAPCZdRevo1ML3SbRpzLis3pWdEyMFMqze+My4pPkPXaf1smul90G0af0DbJ6fdPTFG8pye6x0zPIe+Bfucq2qGLjhgaeo+HaZhQe3zqKxLjXkGhpweqLxvLELlt1h1YAgPdRoeo6BCokQSLR2FLSiO65K1euHHbv3o3g4GA0atQIOjo6uH//PoKCguDp6YmZM2fK6/7zqRZUMK+iPiIjU1Aa4FD1f6/DI1IK1X7blhUwa6I9wiNTMGXevQJdziVSRdLjrPvoythUR8KdnPkwjWyyBlIkhT5DZnIKPkZGo8z/yrLpVbCArqkxkkKf/XsBU4liWq4aJFraiH/3UqE8+3XZirWUtkmMfYWIJ9dg69oVOrr68vIKVR0BAMkJMdDS0kZ4yEVY27nDpGzOJP0Z6Vn/BBsYWaj9WIgKS3TPXUhICOrXrw9TU1OEhobi/v37AICGDRsiPj4ekZGR8oUKT5ou4O79D2jVrIJCeetm5ZGYlIGHTwrek9GkgQVmT3bA/dAEjJ1+h4kdaVTKs5dIeR6Byj3bK5Rb9vBC0uMwfAx/BQB4d/YKKnZqDS093Zw6PdtDlpGBd+ev/6sxU8mho6uPKjUb4vn90wq3qzz/v9PQMzBBxWrOStskxr3Ghf2zEXZfcQR3xOMr0NLWhXmFmpDJMnHhwFw8uL5Xoc7TO39BoqWNKrUaaOaASDRBkGhsKWlE99zldkmWNGvrvpdYvcAZC6Y74vjZaDjZm6JfT2ts3BqGtDQZyhhqo2a1MngVlYoPCarN4K+nK8GMb23x8WMGtu57iZrVyiisj3mXhrfvmexRwemYGMHY8QukPHsJ6busEd1PflqPer5LkB77AW+OnUOlbp6o0qcTbvWfKN/u2fLfUeXrznD783eErf4DRrY1YLdgMiJ+38c57ihPDdqOwdHNQ3B6+0TYu/VCdPht3L7oi6advoOuniGkqUmIffMUZuWqwdDYApVrNkDV2s3w9+GFkKYmwbRcNYSHXMD9K7vg1v5bGJQxg0EZM9i79cSdC37Q0TWAZfX6iAoLRnDAJtRt/g3MK3AEd3EhFGx2t1JJdHIHABkZGXj//j0yMzMBZN3UL5VKce/ePXTr1i2frUmsW//3AbMXP8DQ/jWwaFYdvHufhg1/PMce/6zeUTsbY6xdXB8/rQ7FXwFvVGrTycEM5ctlXYZYvUD5P1q/XS/gtztcfQdB/zmmLnXQNGA77g6bgchthwEAkdsOQ0tfD7UmDUXVwb2Q8jwCdwZPQ9T+v+TbJT96jsCOQ+Hw8zS47l0D6bs4hP2yBY/nrSmqQ6ESomrtJugwcA1unF6Lv7aMg7FZJTTrPBX1Ww8FALyNfIAjGwehzdeLYO/WExItLXQYtAY3z6zHrXO/ITkhBubla6BV7/lwbNxb3m6rXvNgWs4aj4OPIPjsrzAys0Sj9j5waT2sqA6VKE8SQeRwy8uXL2P69OmIjVWeKsPAwAC3b98udFDuXS8Wug0idZt5MvfHFxEVlaeHeDM/FS8TuhbdJczHz17mX6mAbG2qaaxtTRDdh7ly5Uo4Ojpi06ZNMDAwwLp16/D999/D2NgYy5Yt00SMRERERKQi0Zdlnz59ikWLFsHe3h4ODg4oU6YMvL29UaZMGfj6+qJt27b5N0JERESkRpzEOIfonjttbW2YmGTNF1S9enU8fvwYANCkSRM8e8ZpCoiIiIiKkujkrnbt2jh37hwAoFatWggOznoYc3R0tHojIyIiIlKRAInGlpJG9GXZkSNHwsfHB7q6uujSpQvWrl2LkSNH4tGjR2jSpIkmYiQiIiIiFYnuuWvbti3279+P+vXro3Llyvj999+hra0NT09PzJ8/XxMxEhEREeWJPXc5CjTPXZ06deQ/169fH7/++qvaAiIiIiISqyQ+SUJTVO65e/bsGYYPH46XLxXnkZk+fTqGDRumVE5ERERE/z6VkruXL1/im2++QVRUFNLS0hTWtWrVCm/evEHfvn3x6tUrjQRJRERElBdels2hUnK3fv161KlTB4cPH0bt2rUV1nXv3h379+9H9erVsWHDBo0ESURERESqUSm5CwwMxLhx46Cnp5frekNDQ4wfPx7Xrl1Ta3BEREREqmDPXQ6Vkru4uDhUqlQpzzrVq1fP9XmzRERERPTvUSm5s7S0xIsXL/Ks8+LFC5QvX14dMRERERGJwp67HCold56envj111+RkZGR6/qMjAxs2rQJzZo1U2twRERERCSOSsld9hQoAwYMwLlz5xAXFweZTIbY2FicPXsW33zzDZ49e4ZRo0ZpOl4iIiIiJYIg0dhS0qg0ibGFhQW2bt2KqVOnYuzYsZBIcg5UEAS4uLhg27ZtsLKy0ligRERERJ8jK4GXTzVF5SdU1KxZEwcOHMCDBw9w//59xMfHo2zZsnB1dYWNjY0mYyQiIiIiFYl+/Nivv/6KSZMmMaEjIiKiYqMkDnzQFJUfP5bt+vXr0NfX10QsRERERFRIopO7Hj16YPny5Xjy5AmkUqkmYiIiIiIShQMqcoi+LHvx4kW8fPkSp06dynV9SEhIoYMiIiIiKg1kMhnWrVuH/fv3IzExEW5ubpg7dy6sra1zrX/06FFMnTpVqTwgIABVq1ZVaZ+ik7sxY8aI3YSIiIhIo4rrPXcbNmzArl27sGTJElhaWmLZsmUYPnw4jh07lutjXR89eoRGjRph5cqVCuUWFhYq71N0ctejRw+xmxARERH950ilUvj5+WHKlClo3bo1AGDVqlVo0aIFTp8+jS5duiht8/jxY9jZ2aFChQoF3q/oe+6ArEuzAwcOhLu7O169eoW1a9fiyJEjBQ6CiIiIqDCK4z13oaGhSE5ORtOmTeVlpqamcHR0xM2bN3Pd5tGjR4WekUR0z92VK1cwfvx4dO7cGXfu3IFMJkNGRgZmzpwJQRDQvXv3QgVEREREJJYmL8t6enrmuT4gICDX8ujoaABA5cqVFcorVqwoX/dP8fHxePPmDYKCgrBr1y7ExcXB2dkZU6dORc2aNVWOV3TP3dq1a/Hdd99hyZIl0NbWBgBMmjQJkyZNgq+vr9jmiIiIiEqljx8/AoDSvXX6+vpIS0tTqv/kyRMAWU//Wrx4MVavXo20tDT0798f7969U3m/onvuHj16hKVLlyqVd+jQAevWrRPbHBEREVGhaXLKks/1zOXHwMAAQNa9d9k/A0BaWhoMDQ2V6jds2BDXrl1D2bJl5Y96XbduHVq3bo1Dhw5h5MiRKu1XdM+diYkJYmJilMqfPn0KMzMzsc0RERERlUrZl2M/zZtiYmJQqVKlXLexsLCQJ3YAYGhoiKpVq+LNmzcq71d0cte1a1csWrQIoaGhkEgkSE5OxqVLl7BgwQJ06tRJbHNEREREhSbT4FJQ9vb2MDY2RmBgoLwsISEBDx8+hJubm1L9vXv3onHjxkhJSZGXJSUl4cWLF/jiiy9U3q/o5G7ixImoWbMmunfvjpSUFPTo0QMjR46Era0tJk2aJLY5IiIiolJJT08PAwYMwPLlyxEQEIDQ0FBMmjQJlpaW8PLyQmZmJt6+fYvU1FQAQMuWLSGTyTBt2jQ8efIE9+7dw7fffgsLCwv07NlT5f2KvudOV1cXK1asgI+PD0JCQiCTyWBraysqoyQiIiJSp+L6mDAfHx9kZGRg9uzZSE1NhZubG3x9faGrq4vIyEh4enpi8eLF6NmzJypXrowtW7ZgxYoV6NevHwRBQPPmzbFt2zbo6+urvE+JIAiCKhWjo6Nx5swZ6OnpoVWrVrC0tCzwgebHvetFjbVNVFAzT6p2IyvRv+XpodCiDoFIwYSuRZdgXQtJ0FjbTR1MNda2JqjUcxcUFIThw4fLuw3LlCmDNWvWwN3dXaPBEREREamiuD5+rCiodM/dL7/8gqZNm+LSpUu4cuUKWrRogSVLlmg6NiIiIiISSaWeu4cPH2Lv3r2oWLEiAOD7779H69atkZSUBGNjY40GSERERJSf4nrPXVFQKblLSUmBubm5/HWlSpWgq6uL+Ph4JndERERU5HhZNodKl2UFQVCYUA8AtLW1IZMVZvYXIiIiIlI30VOhEBERERU3MpXm/vhvUDm58/PzU3gOWkZGBrZt26b0yLHx48erLzoiIiIiEkWl5K5KlSr466+/FMoqVKig9CBdiUTC5I6IiIj+dbznLodKyd25c+c0HQcRERERqQHvuSMiIqISj1Oh5BCd3Nnb2yuNnM2mq6sLS0tLfPnllxg7duxn6xERERGRZohO7r7//nv5A20bNmwIALh9+zZ27tyJfv36wczMDNu2bYOenh5GjBih9oCJiIiIPiVwtKyc6OTu+PHj+P777/H111/Ly9q2bYtatWrhwIED2L17N2rXro2lS5cyuSMiIqJ/hYwDKuRUmsT4n0JCQtCkSROl8oYNG+LBgwcAAEdHR0RFRRU+OiIiIiISRXRyV7VqVZw/f16p/Pz587C0tAQAvHz5EhYWFoWPjoiIiEgFgiDR2FLSiL4sO2bMGMyYMQP37t2Di4sLZDIZ7t69i5MnT2L+/PkICwvDzJkz4eXlpYl4iYiIiCgPopO7rl27wtjYGH5+fli5ciV0dHRgZ2eHjRs3okWLFrh58ya6du3KyYyJiIjoX8MBFTlEJ3cRERHw8PCAh4dHruvd3Nzg5uZW6MCIiIiISDzR99y1a9cO33zzDQ4ePIiUlBRNxEREREQkigCJxpaSRnRyt337dtjY2GDp0qVo3rw5pk2bhmvXrmkiNiIiIiISSXRy5+bmhvnz5+Py5ctYunQpUlNTMXr0aLRp0wZr1qzRRIxEREREeZIJmltKGtHJXTZdXV20a9cO8+bNw4QJExAfH49NmzapMzYiIiIilXAqlByiB1QAQEpKCs6cOYNjx47h+vXrsLKywrBhw9CjRw91x0dEREREIohO7iZNmoQLFy5AIpGgQ4cO2LJli/wZs6mpqWoPkIiIiCg/nAolh+jk7t27d/jhhx/Qvn17GBoaAgCePn2KPXv24OjRo7hx44bagyQiIiIi1YhO7rZv3w4AkEqlOHr0KPbs2YPbt29DIpGgbdu2ag+QiIiIKD+yEjhliaaITu7Cw8OxZ88eHD58GB8+fIBEIkHPnj0xevRoWFtbayJGIiIiIlKRSsldZmYmTp8+jb179yIwMBDa2tpwd3dH586dMXPmTAwZMoSJHRERERUZ3nOXQ6XkrlWrVkhMTESTJk2wYMECtGvXDmZmZgCAGTNmaDRAIiIiIlKdSsldYmIiypUrhypVqsDc3Fw+kIKIiIioOCiJ89FpikrJ3ZUrV3DixAkcPHgQu3fvhpGRETw9PdGpUydIJDyZREREVLRK4pMkNEWlJ1QYGxujT58+2Lt3L44fP44+ffrg6tWrGD16NDIzM7FlyxaEh4drOlYiIiIiyofox4/Z2Nhg+vTpuHjxItavXw9PT0/4+/ujY8eOGD58uCZiJCIiIsqTIGhuKWkK9PgxANDW1oanpyc8PT0RGxuLI0eO4NChQ+qMjYiIiIhEEt1zlxsLCwsMGTIEx44dU0dzRERERKIIkGhsKWnUktwRERERUfFQ4MuyRERERMUFR8vmYM8dERERUSnCnjsiIiIq8UriqFZNKZbJ3Vnvm0UdApGSTSNDizoEIgVf9LQv6hCIFKU/KrJdM7nLwcuyRERERKUIkzsiIiIq8WSCRGNLoeKSybBmzRq0aNEC9evXx4gRIxAREaHStkePHoWdnR0iIyNF7ZPJHREREZGGbNiwAbt27cKCBQuwZ88eyGQyDB8+HFKpNM/tXr16hfnz5xdon0zuiIiIqMQrjo8fk0ql8PPzg4+PD1q3bg17e3usWrUK0dHROH369Ge3k8lkmDp1KurUqVOg/RbLARVERERExYWnp2ee6wMCAnItDw0NRXJyMpo2bSovMzU1haOjI27evIkuXbrkut3GjRuRnp6O8ePH4/r166LjZXJHREREJV5xHC0bHR0NAKhcubJCecWKFeXrPvV///d/8PPzw4EDB/DmzZsC7ZfJHREREVEePtczl5+PHz8CAPT09BTK9fX1ER8fr1Q/JSUFU6ZMwZQpU1CjRg0md0RERPTfVRwfP2ZgYAAg69677J8BIC0tDYaGhkr1Fy5ciJo1a6Jv376F2i+TOyIiIirxhEJOWaIJ2ZdjY2JiUK1aNXl5TEwM7OzslOofPHgQenp6cHFxAQBkZmYCALp06YLRo0dj9OjRKu2XyR0RERGRBtjb28PY2BiBgYHy5C4hIQEPHz7EgAEDlOp/OoL27t27mDp1KjZv3gxbW1uV98vkjoiIiEq84jigQk9PDwMGDMDy5cthYWEBKysrLFu2DJaWlvDy8kJmZiZiY2NhYmICAwMDVK9eXWH77EEXVapUgbm5ucr75Tx3RERERBri4+OD3r17Y/bs2ejXrx+0tbXh6+sLXV1dREVFwd3dHSdOnFDrPiWCIC7XPXPmDNq1a6dUnpGRgVWrVmHq1KmFDip13/JCt0GkbpsMvyvqEIgUfNHTvqhDIFLQOf1Rke17ywXNtT24teba1gTRPXc+Pj6YN2+ewmMzHj9+jF69emHPnj1qDY6IiIiIxBGd3P32228ICAhAr169EBoaCl9fX/Tq1Qvly5fH0aNHNREjERERUZ6K4+PHioroARXu7u44duwYZsyYgR49ekBbWxs//vgjevXqpYn4iIiIiEiEAg2ouHr1Ku7du4fq1atDX18fR48eRWRkpLpjIyIiIlIJe+5yiE7uxowZgylTpqBLly44evQo/P39IZVK0bVrV2zfvl0TMRIRERHlSSZobilpRCd3ISEh8PX1xcyZM6Gnpwdra2vs2rULo0ePxrJlyzQRIxERERGpSPQ9d8eOHYOJiYlCmUQiwahRo9CqVSu1BUZERESkqpJ4+VRTRCd3JiYmiImJwb59+/D8+XPMmjULN2/ehK2tLeztOecSERERUVESfVk2PDwcXbt2xeHDh3H69GmkpKTgxIkT6NWrF+7evauJGImIiIjyJJNpbilpRCd3S5YsQdu2bXH27Fno6uoCAFauXIk2bdpg+XI+WYKIiIioKIlO7m7duoUhQ4ZAIpHIy3R0dDB27Fg8fPhQrcERERERqYJToeQQndzJZDLIcumjTE5Ohra2tlqCIiIiIqKCEZ3cubu7Y9OmTQoJ3ocPH7Bs2TI0adJErcERERERqYI9dzlEj5adMWMGBg4cCHd3d6SlpWHMmDF49eoVzM3NsWTJEk3ESERERJSnkjjZsKaITu4qVaoEf39//PnnnwgJCYFMJkO/fv3w5ZdfwtjYWBMxEhEREZGKRCd3AGBoaIivvvpK3bEQERERFYig0eunkvyrFCMqJXcDBw5UucFt27YVOBgiIiIiKhyVBlRYWVnJl/Lly+PGjRtITEyEjY0N7OzskJ6ejuDgYNSqVUvT8RIREREp4YCKHCr13C1evFj+88yZMzF48GDMmDFDoc7q1avx7Nkz9UZHRERERKKIvufu5MmTOHz4sFJ59+7d0b17d3XERERERCRKSXxMmKaInufO1NQ01ydRBAUFoVy5cmoJioiIiIgKRnTP3ddff425c+fi2bNncHJygkwmw61bt7Bz505MnTpVEzESERER5akk3hunKaKTu7Fjx0JbWxs7duzA+vXrAQCVK1fGtGnT0L9/f7UHSERERESqK9A8d6NGjcKoUaMQFxcHiUQCc3NzNYdFREREpDo+oSJHgZK7V69e4e7du5BKpUrrOKiCiIiI/m28LJtDdHK3b98+/Pjjj8jMzFRaJ5FImNwRERERFSHRyd3GjRvRt29fTJo0ic+SJSIiomJB0Oh12ZL1+DHRU6G8ffsWQ4YMYWJHREREVAyJTu4cHBzw9OlTTcRCREREVCAyQXNLSSP6suzw4cMxf/58REREoFatWtDT01NY7+bmprbgiIiIiEgc0cmdj48PAOCnn35SWieRSBASElL4qIiIiIhE4GjZHKKTu4CAAE3EQURERERqIDq5s7Ky0kQcRERERAUmK4k3x2mISsndunXrVG5w/PjxBQ6GiIiIqCB4WTaHSsndoUOHVGpMIpEwuSMiIiIqQiold+fOndN0HEREREQFxp67HKLnuSMiIiKi4kv0gIqUlBRs2bIFt27dQnp6OoRPUuVt27apLTgiIiIiVcjYdScnOrmbO3cuAgIC0Lx5c1SoUEETMRERERFRAYlO7s6fP4+VK1fCw8NDE/EQERERiSbIijqC4kP0PXdaWlqwsbHRRCxEREREpYpMJsOaNWvQokUL1K9fHyNGjEBERMRn6z948ACDBg2Ci4sLmjRpgrlz5yIxMVHUPkUnd15eXipPjUJERET0bxAEQWNLYWzYsAG7du3CggULsGfPHshkMgwfPhxSqVSp7rt37zBkyBBYWVnh0KFD2LBhA4KDgzFjxgxR+xR9WdbCwgJ+fn64dOkSatasCT09PYX1ixcvFtskERERUaHIiuFlWalUCj8/P0yZMgWtW7cGAKxatQotWrTA6dOn0aVLF4X6r169gru7O+bPnw8dHR3UrFkTffr0wapVq0TtV3Ryd+fOHdSrVw8AEBMTI3ZzIiIiov+E0NBQJCcno2nTpvIyU1NTODo64ubNm0rJXb169bBy5Ur562fPnuHIkSNo3ry5qP2KTu62b98udhMiIiIijSrs5dO8eHp65rk+ICAg1/Lo6GgAQOXKlRXKK1asKF/3Oe3bt8eLFy9gZWUl6jGwQAGSOwBITk7G0aNH8fjxY+jo6KB27dro1KkTjI2NC9IcERERUanz8eNHAFC6hU1fXx/x8fF5brt8+XJ8/PgRy5Ytw8CBA3HkyBEYGRmptF/Ryd3r168xYMAAvH//HjVr1oRMJsO+ffuwceNG7Nq1C5aWlmKbJCIiIioUmQbnMP5cz1x+DAwMAGTde5f9MwCkpaXB0NAwz23r1q0LAFi3bh1atWqFM2fOoHv37irtV/Ro2SVLlsDS0hIBAQHw9/fH0aNHERAQgCpVqmDZsmVimyMiIiIqlbIvx346RiEmJgaVKlVSqv/8+XNcuHBBoaxSpUowNzfHmzdvVN6v6OTu6tWrmDFjBsqXLy8vK1++PKZNm4bLly+LbY6IiIio0ASZoLGloOzt7WFsbIzAwEB5WUJCAh4+fAg3Nzel+levXoWPjw8SEhLkZS9fvkRcXJyoOYZFJ3fa2tq5diXq6+vnOmcLERER0X+Rnp4eBgwYgOXLlyMgIAChoaGYNGkSLC0t4eXlhczMTLx9+xapqakAgC5dusDc3BxTp07FkydPEBQUBB8fHzg7O4t6Mpjo5M7V1RUbNmxAenq6vCw9PR0bN26Eq6ur2OaIiIiICk0QNLcUho+PD3r37o3Zs2ejX79+0NbWhq+vL3R1dREVFQV3d3ecOHECAGBubo6tW7cCAPr164dx48bB0dERvr6+0NbWVnmfEkHk2OFnz56hb9++MDIygpOTEwDg3r17SE5Oxo4dO2Bvby+muVyl7lte6DaI1G2T4XdFHQKRgi96Fv7vLZE6dU5/VGT7nvFbqsbaXjLCIP9KxYjonjsbGxv4+/ujc+fOkEqlSEtLQ9euXXHkyBG1JHZEREREVHAFmufOysoKU6dOVXcsRERERAWiyUmMSxqVkruBAwdi3bp1MDU1hbe3NyQSyWfrbtu2TW3BEREREZE4KiV3VlZW0NLSkv+cV3JHRERE9G8TZEUdQfGhUnK3ePFi+c8+Pj6wtLSUJ3vZMjIy8PDhQ/VGR3JXn0Zi3dmbeBYTBwsjQ/RtXAcDm9fNNdE+cusx5h6++Nm2FvRshW4utkrly05cw45r93F3wQi1xk6l18tHlxH412rEvXkKQ+NycGreH/VbDf3sP4AZ6WkIOrMej2/9idTkWJSrYgc3r/GoZtdCoc7vsxpAJstQ2FZHrwxGLrql0eOh0sPAqhJa3vkTQb3GIfbSjTzrVvm6M76YOQZlalnj44tXeLpsM15t91eoY9bACQ4/T4NZAydkJCQjctshPJ6/DsI/Zo4gKi5E33Pn6emJK1euwMLCQqE8MjIS3t7euHv3rtqCoyz/F/EG3+44hfZOtTDOsyFuh0dj1elAZMhkGNayvlL9FnbW2D6ym1L5PP+/kZwmhbuttdK64BdR2Hn9vibCp1IqOvwOTviNwRf1OqJxhwmICgvGtePLIcgy4dpmZK7bnN8/G+EPz6NJx8kwq1ADj4L8cdx3NL4cvRVVajUEAMRGP4ZMloG2/ZfBtFzOZ1UiUX0aAPpvM6hqiUbHfaFrbppvXcseXqi/bTnC1m7D21N/w/LLtqjv9zNkaVJE7cuansKwZlU0PvkH4q7fwa1+E2FsbwO7BZOga2GO++N+0PThkIpkvOdOTqXkbufOnfDz8wOQdcNir169lHruEhISUKVKFfVHSNhwLhj2lcthUe+sCQyb17ZGeqYMvpfu4JumTjDQVXwbLYwMYWGkONH0zmv3Efb2A7aO6Ka0LiUtHXMPXURFEyO8SUjW7MFQqXHz1FqUr+KAtv2XAgCq2beALDMDwQGb4NxiIHR0FacOSIiNxJNbx9Cixxw4Ne8PAKj6RRNEv7iF+1d3yZO7d69DoaWlAxvn9tDWUXzYNlGeJBJU9e4Oh5+nAyrePWS3YDKiDpxEyJSsK1TvzlyGblkz2M2bIE/ubKaOQEZiMoJ6joWQno63Jy8h82MqnH6Zg6dLNiI1IkpTR0RUICpNhdKzZ0/06NFD/sDaDh06oEePHgrL2LFj8fvvv2sy1v8kaUYmgsKi0MahhkJ5uzq1kJyWjtvh0fm28T4pBesDgvBVIwc4W1dUWr/yVCDKm5TBl67Kl2qJcpOZIcWrZzdQq25bhfJazu2RnpaMqLBgpW2MTCui94T9sHXN6VWWaGlBoqWNzIycp9u8exUC84o1mdiRaKbOdnBa/yMid/jjzuBp+dY3rG4FY7uaiD5yRqE86tApGNWugTJfVAcAVGjnjpi/Lipcgo0+eBISbW1U8HJX70FQgQmCoLGlpFGp587Q0BDjx48HAEgkEgwbNizXR5CR+kXGJiA9U4bq5cwUyquVy7rc8OJdPJp+UTXPNjacC4aWRILxng2V1l17Goljd55g79ge+Ov/nqkvcCrV4t9HQJaZDrMKNRTKzcpXAwB8iAmDtW1zhXXaOnqoaF0XACDIZEhKeIO7F/9AwvsItOgxW14vu+fu6OahiA67DW0dPdjUa49mXaZBz8BYswdGJdrHl1G4YN8Oqa/ewKJlo3zrG9tnPasz+ckLhfKUZ+FZ621rIjUyGmVqVEXykzCFOtJ3cUiPT4SxbU31BE+FJivEM2BLG9H33I0fPx4ZGRl48+YNMjMzAWRly1KpFPfu3UO3bsr3elHBJaVl9WgYGyj2YpTR0wUAJKfl/Tzf90kfcez2EwxsXhemhvoK6xJTpZjnfwljPRugRnlz9QVNpZ40NREAoKevmGzp6RtlrU9LynP7W+d/Q+BfqwAAjo2/QtXazQBk/S15H/UIgACHxr3R0HMMYiLu4eaZ9Yh78wzdx2yHREv03Ov0H5EeF4/0uHiV6+uYZX1+MxIUP68ZiVm3p+iYGkPXzCTXOtn1dEz5DwcVP6KTu8uXL2P69OmIjY1VWmdgYMDkTs3y+0ckv2lpDgeHIlMQ0L+pk9K6pSeuwdLMGN5N6xYmRPoPEvKZc0AiyTsBq+Hogco1XBH1IhhBZzYgIz0t6949QUCnIRtgaGwBC8vaAIAqNm4oY1oBZ3dNxctHl1HdoaXajoP+2/L7R0GQyYB867C3qLgogVdPNUb0v8ArV66Eo6MjNm3aBAMDA6xbtw7ff/89jI2NsWzZMk3E+J9mrJ97D132axODvO9LOvMgDE1trJQGUVx8FI5T955hTjd3yAQBGZky+UijjEwZu7cpT/oGWb0Z6WmKA3Cye+z0/rf+c8pVtkUVGzc08BwN1zaj8PjWUSTGvYZESwtWXzSWJ3bZqju0AgC8jwpV1yEQISM+qwdax8RIoTy7Ny4jPkneY/dpnex62W0QFSeie+6ePn2KRYsWwd7eHg4ODihTpgy8vb1RpkwZ+Pr6om3btvk3QiqztjCFtpYEEbEJCuUv//e6ZgXzz277JiEZoVHvMSCXXruzD8KQlpGJXusOKq1rMM8X3VxqY0HP1oWKnUov03LVINHSRvy7lwrl2a/LVqyltE1i7CtEPLkGW9eu0NHNuUWgQlVHAEByQgy0tLQRHnIR1nbuMCmbM/o+Iz3rgeAGRopTMBEVRtLjrPvoythUR8KdEHm5kU3WQIqk0GfITE7Bx8holPlfWTa9ChbQNTVGUijvVS4u2IuaQ3TPnba2NkxMsv4rr169Oh4/fgwAaNKkCZ4944dc3fR1deBa3RIBD18ojNg5+yAMJgZ6cLJSHv2a7V5EDACgfnVLpXWjPRpg1+juCkuvhvYAgF2ju2O0RwM1HwmVJjq6+qhSsyGe3z+t8Ll8/n+noWdggorVnJW2SYx7jQv7ZyPsvuLIxIjHV6ClrQvzCjUhk2XiwoG5eHB9r0Kdp3f+gkRLG1Vq8XNJ6pPy7CVSnkegcs/2CuWWPbyQ9DgMH8NfAQDenb2Cip1aQ+t/9zoDgGXP9pBlZODd+ev/asxEqhDdc1e7dm2cO3cO3t7eqFWrFoKDgzFo0CBER+c/JQcVzIjWLhi15QSm7g1Ad1c73Hn5Bluv/B8mtGsEQz0dJKVK8fxtHKpamCpcfn36JhZ6OtqwtlCeyNOqrAmsyipeOrv0KKvXpY5VBc0eEJUKDdqOwdHNQ3B6+0TYu/VCdPht3L7oi6advoOuniGkqUmIffMUZuWqwdDYApVrNkDV2s3w9+GFkKYmwbRcNYSHXMD9K7vg1v5bGJQxg0EZM9i79cSdC37Q0TWAZfX6iAoLRnDAJtRt/g3MK3BkIhWcjokRjB2/QMqzl5C+iwMAPPlpPer5LkF67Ae8OXYOlbp5okqfTrjVf6J8u2fLf0eVrzvD7c/fEbb6DxjZ1oDdgsmI+H0f57grRjiJcQ7Ryd3IkSPh4+MDXV1ddOnSBWvXrsXIkSPx6NEjNGnSRBMx/uc1rmWFFX3b4tdztzBx12lUNDXCpPaNMah5Vu9ISNQ7DPc7jvk9WinMVfc++WO+9+QRFVTV2k3QYeAa3Di9Fn9tGQdjs0po1nkq6rceCgB4G/kARzYOQpuvF8HerSckWlroMGgNbp5Zj1vnfkNyQgzMy9dAq97z4di4t7zdVr3mwbScNR4HH0Hw2V9hZGaJRu194NJ6WFEdKpUSpi510DRgO+4Om4HIbYcBAJHbDkNLXw+1Jg1F1cG9kPI8AncGT0PU/r/k2yU/eo7AjkPh8PM0uO5dA+m7OIT9sgWP560pqkMhypNEKMDsfA8ePIC2tjbs7e1x48YN/PHHH6hcuTJ8fHxgbm5e6KBS9y0vdBtE6rbJ8LuiDoFIwRc97Ys6BCIFndMfFdm+x69UfRocsdZNNsu/UjEiuucOAIyMjJCUlDWCqFGjRggJCUGrVq3UktgRERERicUBFTlED6i4evUqvvzyS5w5k3NT9IkTJ9CjRw8EBQWpNTgiIiIiEqdA89wNHjwYkyZNkpft3bsX3t7eWL6cl1OJiIjo3ycTNLeUNKKTu6dPn6J3795K5V999RUePSq6a+1EREREVIB77iwsLBAaGgpra2uF8idPnsjnvyMiIiL6N/Geuxyik7svv/wS8+bNw4cPH1CvXj0AwL1797B69Wp0795d3fERERERkQiik7tx48YhLi4O8+fPR0ZGBgRBgI6ODry9vTFhwgRNxEhERESUpwLM7FZqiU7udHR0MG/ePEydOhVhYWHQ0dFBjRo1YGBgoIn4iIiIiEiEAs1zB2TNdefkpPxAeiIiIqJ/m4z33MmJTu7s7e0hkUg+uz4kJKRQARERERGJxcuyOUQnd4sWLVJI7jIyMvDixQv4+/tj2rRpag2OiIiIiMQRndz17Nkz13InJyfs378fX375ZaGDIiIiIhKDU6HkED2J8ec4OzsjODhYXc0RERERUQEUeEDFPyUnJ2PHjh0oX768OpojIiIiEoU9dznUNqBCIpHgxx9/VEtQRERERFQwhR5QAQC6urqoV6+e0iPJiIiIiP4NMo6WlVPbgAoiIiIiKnoqJXfr1q1TucHx48cXOBgiIiKiguA9dzlUSu4OHTqk8DoqKgq6urqwtraGjo4OXr58ifT0dDg5OTG5IyIion8dJzHOoVJyd+7cOfnPW7ZswYULF7BixQqUK1cOAJCQkIBp06bB1tZWM1ESERERkUpEz3O3efNmzJgxQ57YAYCpqSkmT56MvXv3qjU4IiIiIlXIZILGlpJGdHKXnp6OlJQUpfL379/n+cxZIiIiItI80cldmzZtMGfOHAQGBiI5ORlJSUm4ePEi5syZg86dO2siRiIiIqI8CTJBY0tJI3oqlDlz5mDChAkYNGiQvKdOEAR06NAB06dPV3uARERERCWVTCbDunXrsH//fiQmJsLNzQ1z58797NzAT548wbJly3D37l1oaWnBzc0NM2bMQJUqVVTep+jkztjYGL6+vnj+/DmePHkCiUQCBwcHTmBMRERERaa4jpbdsGEDdu3ahSVLlsDS0hLLli3D8OHDcezYMejp6SnUjYuLw5AhQ+Dq6ort27dDKpViyZIlGD58OA4fPgx9fX2V9qnSZdkPHz4oldWqVQvt27eHl5cXrK2tIZVKcfr0aZV2SkRERFTaSaVS+Pn5wcfHB61bt4a9vT1WrVqF6OjoXHOms2fPIiUlBUuXLoWtrS2cnJywbNkyPHv2DLdu3VJ5vyold02bNsX79+8VyqZPn65QlpCQgAkTJqi8YyIiIiJ1EWQyjS0FFRoaiuTkZDRt2lReZmpqCkdHR9y8eVOpftOmTbFhwwYYGBjIy7S0slK1hIQElfer0mXZ3Lo6z5w5g/HjxytMiVJcu0SJiIiodNPklCWenp55rg8ICMi1PDo6GgBQuXJlhfKKFSvK1/1T1apVUbVqVYWyzZs3w8DAAG5ubirHK3q0bLbcEjlOhUJERESU5ePHjwCgdG+dvr4+0tLS8t1++/bt2LFjB6ZMmQILCwuV9yt6QAURERFRcaPJq4ef65nLT/blValUqnCpNS0tDYaGhp/dThAE/PLLL/j1118xZswYeHt7i9pvgXvuiIiIiOjzsi/HxsTEKJTHxMSgUqVKuW6Tnp6OqVOnYuPGjZg5cyYmTpwoer8qJ3e85EpERETFVXGcxNje3h7GxsYIDAyUlyUkJODhw4efvYdu2rRpOHnyJFasWIHBgwcXaL8qX5ZduHChwvwq6enpWLZsGYyMjABApWvHRERERP8Venp6GDBgAJYvXw4LCwtYWVlh2bJlsLS0hJeXFzIzMxEbGwsTExMYGBjg0KFDOHHiBKZNm4ZGjRrh7du38ray66hCpeTOzc1NYQcA4OLigri4OMTFxcnLGjZsqNJOiYiIiNSpuD4mzMfHBxkZGZg9ezZSU1Ph5uYGX19f6OrqIjIyEp6enli8eDF69uyJP//8EwCwdOlSLF26VKGd7DqqkAjFcP6S1H3LizoEIiWbDL8r6hCIFHzR076oQyBS0Dn9UZHtu/eE5xpr+8AvtTTWtiZwtCwRERGVeDKh4JMNlzaikzt7e/vPDq7Q1dWFpaUlvvzyS4wdO5aDMIiIiIj+ZaKTu++//x4rVqxAv3795PfY3b59Gzt37kS/fv1gZmaGbdu2QU9PDyNGjFB7wERERESfKq733BUF0cnd8ePH8f333+Prr7+Wl7Vt2xa1atXCgQMHsHv3btSuXRtLly5lckdERET/CiZ3OURPYhwSEoImTZoolTds2BAPHjwAADg6OiIqKqrw0RERERGRKKKTu6pVq+L8+fNK5efPn4elpSUA4OXLl6KegUZERERUGIIgaGwpaURflh0zZgxmzJiBe/fuwcXFBTKZDHfv3sXJkycxf/58hIWFYebMmfDy8tJEvERERESUB9HJXdeuXWFsbAw/Pz+sXLkSOjo6sLOzw8aNG9GiRQvcvHkTXbt2xfjx4zURLxEREZESmYxToWQTndxFRETAw8MDHh4eua53c3P77PPSiIiIiEizRN9z165dO3zzzTc4ePAgUlJSNBETERERkSiCTNDYUtKITu62b98OGxsbLF26FM2bN8e0adNw7do1TcRGRERERCKJTu7c3Nwwf/58XL58GUuXLkVqaipGjx6NNm3aYM2aNZqIkYiIiChPgiDT2FLSiE7usunq6qJdu3aYN28eJkyYgPj4eGzatEmdsRERERGphJdlc4geUAEAKSkpOHPmDI4dO4br16/DysoKw4YNQ48ePdQdHxERERGJIDq5mzRpEi5cuACJRIIOHTpgy5Yt8mfMpqamqj1AIiIiovyUxB42TRGd3L179w4//PAD2rdvD0NDQwDA06dPsWfPHhw9ehQ3btxQe5BEREREpBrRyd327dsBAFKpFEePHsWePXtw+/ZtSCQStG3bVu0BEhEREeVHVgIHPmiK6OQuPDwce/bsweHDh/HhwwdIJBL07NkTo0ePhrW1tSZiJCIiIiIVqZTcZWZm4vTp09i7dy8CAwOhra0Nd3d3dO7cGTNnzsSQIUOY2BEREVGR4T13OVRK7lq1aoXExEQ0adIECxYsQLt27WBmZgYAmDFjhkYDJCIiIiLVqZTcJSYmoly5cqhSpQrMzc3lAymIiIiIigNBxnvusqmU3F25cgUnTpzAwYMHsXv3bhgZGcHT0xOdOnWCRCLRdIxEREREeeJl2RwqPaHC2NgYffr0wd69e3H8+HH06dMHV69exejRo5GZmYktW7YgPDxc07ESERERUT5EP37MxsYG06dPx8WLF7F+/Xp4enrC398fHTt2xPDhwzURIxEREVGe+GzZHAV6/BgAaGtrw9PTE56enoiNjcWRI0dw6NAhdcZGRERERCIVOLn7JwsLCwwZMgRDhgxRR3NEREREosh4z52c6MuyRERERFR8qaXnjoiIiKgocSqUHOy5IyIiIipF2HNHREREJR7nucvB5I6IiIhKvJI4ZYmm8LIsERERUSnCnjsiIiIq8XhZNgd77oiIiIhKEfbcERERUYnHqVBysOeOiIiIqBSRCILAi9REREREpQR77oiIiIhKESZ3RERERKUIkzsiIiKiUoTJHREREVEpwuSOiIiIqBRhckdERERUijC5IyIiIipFmNwRERERlSJM7oiIiIhKESZ3RERERKUIkzsiIiKiUoTJHREREVEpwuSOiIiIqBRhcvc/SUlJqFevHpo1a4b09HS1tt2mTRvY2dnhjz/+yHX93LlzYWdnh7Vr1xZqPykpKdi5c6fK9SMjI2FnZ4fAwEAAwIwZM+Dt7S1fHxwcjKCgIJXaCgwMhJ2dncJib28PV1dX9O3bF9euXRN1LHFxcdi/f7+obYqrf+Oz9ek5HzBgAG7evKmWfcTGxmLp0qVo3749nJ2d0apVK0ybNg3h4eFqaT9b9mcoMjISQME+A23atCn079F/nSY/r97e3kp/J/65xMbGfnbbf/u9/fTv6ad/H9VBHcekibio5GNy9z/Hjx9HuXLlkJiYiDNnzqi9fV1dXZw6dUqpPCMjA6dPn4ZEIin0Pvz8/ODr61vg7WfNmqXwh6Z///54+fKlqDb279+Py5cv4/Lly7h48SJ+//136OjoYNSoUXj16pXK7SxduhRHjx4Vte/iStOfraFDh8rP+aVLl7Bnzx4YGxtj+PDheP36daHaDgsL+/92zjwuq2L/428NzUuiYaDXcsntwQUEFMUlUHDJB9lCQU0kxY2XehVRWQo1KQtXxKUITDEhFwQRbhJXUTT1heQSihuKkI9piOV1RSCZ3x/+nnM5bKIpKp736/W8Xs+ZmTMzZ+Zz5nzPfGcOTk5O/PLLL3zyySf88MMPLFu2jOvXr+Pm5sb58+ef0lWAubk5Bw4coHnz5kDt0sDLxLPWq1qtlvRa9qevr//Uy3tSyo6nZcdHBYUXGcW4+39iY2OxsrKiV69ebN68+ann37t3b3755Rd+//13WXhaWhq6urrSA+3vIIT4W+fr6enx5ptv/q08mjRpgqGhIYaGhjRr1oxu3bqxePFiCgsLSUlJqXY+f/daXiSetbZ0dXWlNm/atCkqlYoFCxZw//79v/1wnjNnDs2bNycyMhJra2tatmyJhYUFYWFhNGnShODg4Kd0FVC/fn0MDQ157bXXgNqlgZeJZ63XBg0aSHot+3saL7lPi7L6exrjo4JCTaEYd0B2djYZGRn07duXwYMHc/jwYXJycoCHbgRvb29Z+p9//hkjIyPJLZWYmIharcbExARXV1e+++47jIyMZOd07dqVt99+mx9//FEWvnPnTtRqdblB7fjx43h4eNC9e3csLS0JCAjgxo0bUrytrS2LFi3Czs4OS0tLxowZw+rVq/ntt98k11ZRURGLFi3C1tYWY2NjevbsyYwZMyp1fZSe3tfWPyAgAH9/f6ZOnYqHh4cs/cWLFzEyMnrk7M3rr78OgI6OjhQWExODg4MDXbt2xczMjA8//JCTJ09K9di+fTvp6elSPYQQREREMGDAAExNTXFycnopZnVqQlsVoW3r+vXrA1BUVMSSJUuwsrLC3NwcNzc3Dhw4IKWPi4tj0KBBfP7553Tv3p0pU6aQmZnJyZMnmTRpkpSPlvr167NixQrmzp0rhe3evRtXV1fMzMwwMTHBxcWFn376SYofM2YMCxcuxMfHB1NTU6ytrQkPD5ceoqXdshVp4ObNmwQGBmJlZUWXLl3o3bs3gYGBFBQUVNgG2mUHycnJuLq6YmxsjK2tLVu2bJGlS0hIwNHRka5duzJgwAA2bNggxf33v/9lwYIF9OvXj65duzJy5EhpGQPAqlWrGDt2LKtXr6ZPnz6Ym5szb948rl69yuTJkzE1NWXQoEGkpqZK5zyqL54nz0uvZbl9+zZ+fn5YWFjQq1evckta4uLiyuVbNqy4uJjQ0FBsbGwwNTXFxcWFgwcPSvFV6XXVqlXlxtOy7s/s7Gy8vLywtLSke/fuTJ8+XeadGDNmDEuXLuXjjz/GwsKCbt26MWvWLO7cuVPhNVdHr0IIvvrqK6ytrTEzMyMgIIDCwkJZPnl5ecycORMLCwssLS3x8vIiNzcXgFu3btGvXz+8vLyk9AcOHKBjx44VepYUXl4U4w7Ytm0burq6WFtbM2jQIOrVqye9sbq4uLB3717ZDZmQkEC3bt1o3bo1e/fuxc/Pj+HDh5OQkICLiwtLly6tsBy1Wi0z7oqKiti9ezdDhw6VpTtx4gRjxoyhQ4cObN26ldDQUDIyMhg/fjwPHjyQ0kVFRREYGMjatWv56quv8PT05J///Kfk2lq8eDH/+c9/CA4OJjk5meDgYNLS0vj6668f2Sbah83HH3/MJ598gouLC+np6Vy9elVKEx8fj4mJCR06dKg0n/z8fIKCgmjYsCEDBgwAYNeuXQQFBTFhwgSSkpKIjIyksLCQwMBA4KH7Q61WS246gJCQEDZt2sTcuXNJTEzEw8ODTz/99LHWGD4PakpbpcnLyyMoKAhdXV369esHPDTSDx48yNKlS9m+fTtqtRovLy+Z0XHp0iWuXbtGfHw8M2fOJDMzE4Bu3bpVWI6RkRHvvvsuAJmZmfzrX/9i6NChJCYmsnXrVpo0aYKvry9FRUXSOZs2bUJPT4+4uDhmzpzJmjVriIiIKJd3RRrw9/fn9OnTrF69muTkZAICAoiPjy9nrJXlyy+/xMvLi6SkJPr378+nn36KRqMBHr5c+fn5SS8LPj4+LF26lLi4OB48eICnpydHjhxhyZIlxMXFoVKpGD9+PCdOnJDyP3LkCDk5OURHRxMYGMiWLVsYPnw4arWauLg42rVrh7+/v2TEVqcvnhfPQ68V4e3tzYkTJwgLC2P9+vWkpqY+1rIOgIULF7J582b8/PxITEzEysoKLy8vLl68+Ei9enp6lhtPS/Pbb78xYsQI6tevz4YNG1i3bh35+fm4u7vL2icyMhIDAwO2bdvGkiVLSElJITIyssp6V6XX8PBw1q5di6+vL3FxcTRq1IidO3dK5967d08yQKOioti4cSP6+vq4ubmRl5dHo0aNCA4OJjU1lX//+9/cuHEDf39/3NzceP/99x+rfRVecMQrTnFxsejTp4/w8fGRwiZPnix69uwp7t+/L+7evSvMzMzE9u3bhRBCFBYWih49eoitW7cKIYQYPXq0mDlzpizPL774QqhUKunYxsZGrFy5Upw8eVIYGRmJ33//XQghxJ49e8T7778vSyOEEDNmzBAuLi6yPM+cOSNUKpVITU2V0k+dOlWWZuXKlcLGxkY6jo+PFz///LMsjbe3t/Dw8BBCCKHRaIRKpRJpaWlCCCH8/PyEu7u7lFalUonY2Fipnfr27SvCwsKEEEI8ePBAWFtbi6ioKCGEEGlpaUKlUglTU1NhZmYmzMzMhImJiTAxMRGenp7izJkzUr7p6elix44dsnp9//33omPHjtJx6brcvXtXmJiYiF27dsnOCQ0NlV3vi0ZNaatLly5SmxsbGwuVSiXUarWkldzcXKFSqcTp06dlefn6+kptHBsbK1QqlayfwsLChEqlEsXFxY+81tOnT4vo6GhZ2L59+4RKpRJXrlwRQgjh7u4u7O3tRUlJiZRmyZIlom/fvqKkpETSkEajEUKU1+PGjRvF2bNnZWW4urqKgIAAWXto7yOtvtevXy/F37p1S6hUKpGYmCiEEMLNzU3WP0IIsWXLFvHDDz+I1NRUoVKpxLlz56S4kpIS4ezsLKZPny6EeHjPderUSdy+fVtKY2lpKctTm09eXl61+uJ5URN6dXd3F507d5b0Wvo3e/ZsIYQQ2dnZQqVSiUOHDknn5efnC2NjY6lvtXotTemw27dviy5duojNmzfL0ixbtkxkZGRUS69lx9PSely8eLGwsrIShYWFUvy1a9eEiYmJNCa6u7sLJycnWRlTpkwRnp6e0vHj6LWkpET07dtXhISEyPJ0cnKS6rV161ZhaWkpu2cfPHggK0cIIT7//HPRu3dvMWnSJGFnZycKCgqEQu1C59HmX+1m3759XL9+XTZ7NnToUPbu3UtSUhLOzs4MGTKExMREnJ2d2bdvH0VFRajVagBOnTrF4MGDZXn26NGjwrczY2NjWrZsSXJyMh4eHuzcubPcrB1AVlYWffv2lYV17NgRPT09zp07J83GtG7dusprc3Jy4tChQyxdupTc3FwuXrxITk4OFhYW1Wqb0ujo6ODo6MiOHTuYPHkyaWlp/Pnnn9jb28vShYeH06xZM+7cuUN4eDgZGRlMmTKFjh07Sml69OhBdnY2a9as4eLFi/z666+cO3eOkpKSCsu+cOEChYWFzJo1i7p1/zfZ/Ndff1FUVMT9+/dp0KDBY1/Ts6amtDVy5Ejpbb1u3bq8+eab6OnpSfGnT58GHm6QKU1xcTGNGjWShWln4uDh+kl46Jo0MDCo8lo7depE48aNCQ8Pl/r07NmzALLZZktLS9kSBHNzcyIiImRLDirjww8/ZM+ePWzfvp3c3FwuXLjA5cuXadu2bZXntWvXTvqvbRftLtCsrKxy96CbmxsAERER6OnpoVKppLg6depgYWEhc6O+9dZbNGzYUDrW1dWlVatW0rFWm0VFRY/VFzVNTenV1taW2bNnlytfV1cXeNgnACYmJlKcgYEBLVu2rPa15OTkUFxcjKmpqSzcx8dH+l8dvVZGVlYWxsbGsuUKhoaGtGnTRqo/UE6benp63Lp1q8q8K9PrjRs3yM/Pl7ULgJmZGdnZ2cDDe/3mzZv06NFDlqawsFBKAzB79mz2799Pamoq8fHxL+T4qfD3eOWNu7i4OACmTZtWLm7z5s04Ozvj4uLCRx99xPXr10lMTGTgwIHSYK6jo1OpUVIRWtfsiBEjSElJqfBTD6KSheRCCOrVqycdP+qGnDdvHsnJyTg7O2Nra8vUqVP59ttvycvLq3Z9SzNs2DC+/fZbMjMzSUhIYMCAATRu3FiW5u2336ZFixYALF++nAkTJjBp0iTi4uIkYzQxMRF/f38cHBykT6VkZWURFBRU6XUDrFixosIHedn1YC8KNaWtxo0bV2noa9svOjqaN954QxZX2lgGuabMzc0BOHbsWLmHNjx0y6emprJo0SJp2UD//v3p3r07Dg4OFBQUMHXqVNk5pdddAtL1aTdRVEZJSQmTJ0/m/Pnz2NvbY2dnR5cuXWRr/iqjIn1o26RsfSpKU1F46fNK35NayrZr2Tyr0xc1TU3p9Y033qhSr1rjv2xeVfUVyI2yivqkNOnp6dXSa2VUpo2SkhJZ2U8yNlWmV227lC27dLuUlJTQpk2bCpfeaI1ngGvXrpGfn4+Ojg4HDhygU6dOj11PhRebV9q4++OPP9i3bx8uLi6MGzdOFhcZGUlsbCxZWVlYWFjwzjvvsGPHDlJTUwkLC5PSdezYkYyMDNm5x48fr7RMtVpNeHg4sbGxtGzZUvaWpsXIyIijR4/Kws6ePcudO3cqTK+l9IzIjRs32LJlCyEhIdjZ2UnhFy9elN3kj0O7du0wNzcnKSmJlJQUli1bVmX61157jeDgYOzt7fHz8+P777+nbt26hIeHM3z4cBYsWCCl1e6k1Q5ipa+lbdu26OjocOXKFWxsbKTw7777jgsXLlRqFD5Pnoe2KkO7JjI/P5/OnTtL4SEhIdStW5cZM2ZUeF779u2lmTUbGxvZQ6ugoICIiAiaNm3K66+/zrp167C0tJR9KmLjxo2A/GGk3TSj5dixY7Ro0aLcSwLI9XzmzBn279/P1q1bpdmY4uJiLl269FgzOmVp165duTp9+eWXXL16lWHDhnH79m2ysrKk2TshBEePHqV9+/ZPVN6T9sWz5kXSq9bQOHbsGP379wcebgQo/VkmrRbv3LkjGZfaTQPw0KtRr149Tp48KfMauLm5YWdnR1pa2iP1WtXOXSMjIxISEigqKpKMsevXr/Prr7+Wm5V9Wujr69O8eXOOHj3KwIEDpfDMzEypPVQqFTt27EBPT0+aeS8uLmbWrFkMGTIEOzs7SkpK8PX1pUuXLjg6OrJgwQKsrKxk7aTw8vNKb6hISEjgr7/+YuLEiahUKtnPy8uLunXrsnnzZurUqYOzszNr1qyhSZMm9OrVS8pj4sSJ/Pjjj6xfv57c3FxiY2OJioqqtMxOnTrRunVrli1bVqFLFmDcuHGcO3eOzz77jOzsbA4fPszs2bPp3LkzvXv3rjRvXV1dbt68SU5ODg0bNkRPT4+UlBTJ7Tl37lxOnTolW+BeFbq6umRnZ8tcZsOGDSMqKooGDRqUcx1XRLNmzfD19eX48ePS5ofmzZtz7NgxTp06xaVLl4iMjJTaTFs3XV1drl27hkajQU9Pj5EjRxIaGsqOHTvQaDTSAuWmTZtW61pqmuehrcro0KEDNjY2zJ8/nz179qDRaIiIiOCbb76RuQ8r4rPPPkOj0TB27Fh++uknNBoNBw8eZNy4cfzxxx/MmzcPeNin586d48iRI1y+fJnY2FhCQ0MBZHo7cuQIK1euJDc3l23bthEdHc2ECRMqLLu0BgwMDNDR0SEpKQmNRsPJkyfx9vYmPz+/2nquiEmTJrFz5042btzIpUuXSExMZNOmTdja2vLee+/RqVMnZs2aRXp6OtnZ2QQFBZGVlcVHH330ROX9nb54ltSkXu/fv09+fn6Fv6KiIlq1asWQIUMICgri0KFDZGVllduYY2ZmRp06dVi1ahWXL18mKSmJ7du3S/H/+Mc/cHd3JzQ0lJSUFC5dusTy5cvJysrC2tq6WnotPZ6W/ZjzqFGjuHv3LnPmzOHs2bOcOHGCGTNmoK+vX+m4/jSYOHEi0dHRxMTEkJOTw4oVK2SbexwdHWncuDHTp08nIyOD7Oxs/P392b9/v7STOCIigjNnzrBw4UJcXV3p2bNnufZVePl5pY27uLg4+vTpU6Grr1WrVgwcOJCEhATu3bvHBx98QEFBAU5OTjL3ibW1NUFBQURHR2Nvb09MTAyjRo2q0i2gVqu5c+eObEatNKampqxdu5bMzEycnZ3x9vbG3Nyc9evXV5nv4MGDMTQ0xNHRkdOnTxMaGkpWVhYODg5MmDCBgoICfHx8uHDhQqWfjyiNp6cnUVFRBAQEyOouhMDZ2fmRrjQtrq6u9OrVi+XLl3PlyhXmzp2LgYEB7u7uuLq6snfvXhYvXgz8b2bH2dmZgoIC7O3tycvLIyAgAA8PD0JDQ1Gr1XzzzTdMnz692m6UmuZ5aasyQkJCGDx4MPPmzcPOzo74+HgWLlzIBx98UOV5HTp0ICYmhrZt2zJ//nyGDh1KYGAgbdq0ISYmhjZt2gAwffp0zMzM8PLywtnZmZiYGL744gsaNGggmxkbMGAA2dnZODo6EhYWRkBAAKNGjaqw7NIaAAgODmbPnj3Y2dkxY8YMmjVrxtixY6VdvU+Cra2t1MZ2dnasXr2agIAASd/r1q2jc+fOTJs2jWHDhnH+/HkiIyMxMzN74jKftC+eJTWp16SkJN57770Kf3v27AFg0aJF9OvXj5kzZzJ69Gjat2+PsbGxlEfLli1ZsGABu3btQq1Ws2XLFnx9fWXl+Pj44OTkxPz583FwcODw4cOEh4fTtm3baum17HhamhYtWhAVFcWtW7cYMWIE48ePx9DQkE2bNj3TtZOjR49mzpw5fP311zg5OXH+/HmGDx8uxevp6REVFYW+vj7jx49n+PDh5OXlsW7dOtq1a8eZM2dYtWoV3t7e0stEUFAQGo2GkJCQZ1ZvhZqnjqhs8YBCtUhPT8fAwEA2KIaFhbFt2zZ27979HGv2bNBoNAwePJikpCTZ4nuFp09t09aYMWN45513nuqHjxVeHGqbXhUUXmZe6Zm7p8GBAwcYP348aWlpXLlyhZSUFDZs2ICTk9PzrtpT5erVqyQnJ0sfkVUMu2fPq6IthdqBolcFhReHV3pDxdNg2rRp3Lt3D19fX/7880+aN2/O2LFjK11H9LKi/djlu+++y+rVq593dV4JXhVtKdQOFL0qKLw4KG5ZBQUFBQUFBYVahOKWVVBQUFBQUFCoRSjGnYKCgoKCgoJCLUIx7hQUFBQUFBQUahGKcaegoKCgoKCgUItQjDsFBQUFBQUFhVqEYtwpKCgoKCgoKNQiFONOQUFBQUFBQaEWoRh3CgoKCgoKCgq1iP8DMqBF18o7F/cAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 4: \n", + "# Which infectious diseases have the highest mortality rates, and how do socioeconomic factors \n", + "# (e.g., per capita income, education index) influence these rates?\n", + "\n", + "query_4 = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(MortalityRate) AS AvgMortalityRate,\n", + " AVG(PerCapitaIncome) AS AvgPerCapitaIncome,\n", + " AVG(EducationIndex) AS AvgEducationIndex\n", + "FROM HealthStatistics\n", + "GROUP BY DiseaseName\n", + "ORDER BY AvgMortalityRate DESC\n", + "LIMIT 10;\n", + "\"\"\"\n", + "\n", + "df_question4 = pd.read_sql(query_4, connection)\n", + "# df_question4.describe()\n", + "print(df_question4.head())\n", + "\n", + "\n", + "# Calculate correlations\n", + "correlation_matrix = df_question4[[\n", + " 'AvgMortalityRate', \n", + " 'AvgPerCapitaIncome', \n", + " 'AvgEducationIndex'\n", + "]].corr()\n", + "\n", + "print(correlation_matrix)\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", + "plt.title(\"Correlation Between Mortality Rate and Socioeconomic Factors\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1616853608.py:18: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_urbanization = pd.read_sql(query, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " AvgUrbanizationRate AvgIncidenceRate AvgPrevalenceRate\n", + "AvgUrbanizationRate 1.000000 0.344218 0.162751\n", + "AvgIncidenceRate 0.344218 1.000000 -0.181572\n", + "AvgPrevalenceRate 0.162751 -0.181572 1.000000\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 5:\n", + "# Does the urbanization rate affect the incidence and prevalence rates of infectious diseases? \n", + "# Are urban areas more vulnerable to certain outbreaks?\n", + "\n", + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(UrbanizationRate) AS AvgUrbanizationRate,\n", + " AVG(IncidenceRate) AS AvgIncidenceRate,\n", + " AVG(PrevalenceRate) AS AvgPrevalenceRate\n", + "FROM HealthStatistics\n", + "WHERE DiseaseCategory = 'Infectious'\n", + "GROUP BY DiseaseName\n", + "ORDER BY AvgUrbanizationRate DESC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a pandas DataFrame\n", + "df_urbanization = pd.read_sql(query, connection)\n", + "\n", + "df_urbanization.describe()\n", + "# Calculate correlation\n", + "correlation_matrix = df_urbanization[[\n", + " 'AvgUrbanizationRate',\n", + " 'AvgIncidenceRate',\n", + " 'AvgPrevalenceRate'\n", + "]].corr()\n", + "\n", + "print(correlation_matrix)\n", + "\n", + "# Visualize correlation as a heatmap\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\")\n", + "plt.title(\"Correlation Between Urbanization and Disease Metrics\")\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\990198507.py:13: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_vaccine = pd.read_sql(query, connection)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName AvailabilityOfVaccinesTreatment AvgMortalityRate \\\n", + "0 Alzheimer's Disease Yes 5.440184 \n", + "1 HIV/AIDS Yes 5.401092 \n", + "2 Influenza Yes 5.390083 \n", + "3 Malaria No 5.360365 \n", + "4 Rabies No 5.339690 \n", + "\n", + " AvgRecoveryRate \n", + "0 75.933502 \n", + "1 74.485672 \n", + "2 73.891701 \n", + "3 73.713059 \n", + "4 74.395177 \n", + " AvailabilityOfVaccinesTreatment AvgMortalityRate AvgRecoveryRate\n", + "0 No 5.023736 74.244544\n", + "1 Yes 5.105629 74.391719\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AvailabilityOfVaccinesTreatment,\n", + " AVG(MortalityRate) AS AvgMortalityRate,\n", + " AVG(RecoveryRate) AS AvgRecoveryRate\n", + "FROM HealthStatistics\n", + "WHERE DiseaseCategory = 'Infectious'\n", + "GROUP BY DiseaseName, AvailabilityOfVaccinesTreatment\n", + "ORDER BY AvgMortalityRate DESC;\n", + "\"\"\"\n", + "\n", + "df_vaccine = pd.read_sql(query, connection)\n", + "print(df_vaccine.head())\n", + "\n", + "df_summary = df_vaccine.groupby(\"AvailabilityOfVaccinesTreatment\").agg({\n", + " \"AvgMortalityRate\": \"mean\",\n", + " \"AvgRecoveryRate\": \"mean\"\n", + "}).reset_index()\n", + "\n", + "print(df_summary)\n", + "\n", + "\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Bar plot for Mortality and Recovery Rates by Vaccine Availability\n", + "df_melted = df_summary.melt(id_vars=\"AvailabilityOfVaccinesTreatment\", \n", + " value_vars=[\"AvgMortalityRate\", \"AvgRecoveryRate\"],\n", + " var_name=\"Metric\", \n", + " value_name=\"Rate\")\n", + "\n", + "plt.figure(figsize=(8, 5))\n", + "sns.barplot(data=df_melted, x=\"AvailabilityOfVaccinesTreatment\", y=\"Rate\", hue=\"Metric\", palette=\"viridis\")\n", + "plt.title(\"Impact of Vaccine Availability on Mortality and Recovery Rates\")\n", + "plt.xlabel(\"Availability of Vaccines/Treatments\")\n", + "plt.ylabel(\"Rate (%)\")\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\547848016.py:12: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_dalys = pd.read_sql(query, connection)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName TotalDALYs\n", + "0 Asthma 12889410.0\n", + "1 Influenza 12885168.0\n", + "2 Leprosy 12881995.0\n", + "3 Ebola 12795525.0\n", + "4 Diabetes 12793286.0\n", + "5 COVID-19 12609290.0\n", + "6 HIV/AIDS 12599253.0\n", + "7 Cholera 12580108.0\n", + "8 Alzheimer's Disease 12543637.0\n", + "9 Zika 12521254.0\n" + ] + }, + { + "data": { + "image/png": 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YuNkHceKe7zt37jzzsbZ62nHcunVLGTNmjHeG1dY7Wt+7d09ms/mJz+29e/dsrPr//Pd1fuPGDe3evVuPHj1SuXLl4o1ftWqVBg8ebPN+qlevLunxh0r//pAgzou8Ps1ms9UHYfPmzdOjR48kSbt27bL6ZoJ/u3PnTrzXivR/r+G7d+9alv13nJOTkzJlymQZ89dff2n48OH68ccf5eLiokKFClnqTuz3mTdv3lxhYWE6ePCgnJ2ddfbsWZsubQCQPBGwAQDJQtzUzH9PXY1z7do1ZcqUyWrZ7du3rQLI9evX5ezsnKgpwQn54YcfZDKZnjgdOUeOHBo5cqRGjBih48ePa8uWLZo/f74yZcqkESNGyMPDQ5UrV07wBkVx01XnzZunJUuWaNSoUXrrrbfk4eEhSZbrf+P8e/r5L7/8olWrVmnOnDkqVqyYihQpIkn68MMPVb58+Xj7irtO2dXVVd27d1f37t116dIlfffddwoODtbAgQO1cePGBI+xWrVq+u677xQeHi5vb+9463///Xc1adJEgYGBlutgE9uvpPTfIB1X07+D7X/PzL/odzEnJEeOHLp165ZiY2OtQvZ/7x/wLB4eHjKZTE98bp/3NS49fp2nTZtWJUqUkCSFhYUpOjpas2bNsrwe48yYMUMhISHq27ev1fXTRnie16efn5927dqln376SRUqVLAs/3cgf9pN4DJkyGB1zXOcuMtC/v2a/e/3acfExOjWrVvKkiWLYmNj1aVLF7m4uGjNmjV6/fXXlSpVKp06dUrffPNNoo5fksqXL6/8+fNry5YtcnJyUqFChVL0nesBPMYUcQBAslCwYEFly5ZNGzZssFp+/vx5/frrrypdurTV8m+//dbyu9ls1rZt21SmTJnnCgJXrlzR119/rRo1aiT43b+HDx9W5cqVdeTIEZlMJr3++uvq37+/ihYtqkuXLkl6/Gb51KlTev311+Xt7S1vb2+VLFlSS5Ys0fbt2yU9voFakSJF1KxZM0uYuXr1qk6ePGm5gdmSJUtUs2ZNRUVFydXVVZUqVdLo0aMlPb7pV6FChZQlSxZduHDBsh9vb2/lyJFDQUFBOnbsmB48eKC3335bixYtkvT4zF/r1q3VoEEDS70Jeeedd5QtWzZ9/vnn8abax8TEaNKkSXJxcVG9evVs7tez/Pesry127dpl9ffGjRuVJk0a+fj4SHo8Zfnq1atWYw4dOmTY/uOUL19e0dHRVjcHM5vNVq/VJ/n3/tOmTauSJUtq8+bNVh8M3Lt3T7t27Xrur7r6/ffftWPHDjVr1swyayIkJERvvPGGateurQoVKlj9tGjRQjdv3rS8fo3yvK/PRo0aydPTUyNGjEjwwwfp6QG7XLlyunjxYrzvOw8LC5OLi4vVzf327dtndRf1rVu3Kjo6WhUqVNCtW7d05swZNW/eXN7e3pYP0Pbs2SNJlv+Wn8VkMsnf31/ffvutdu7caXXZC4CUizPYAIBkwcnJSQMGDFBgYKAGDhyod955R7du3dLMmTOVIUOGeGeGJ0yYoIcPH6pgwYL6+uuvdfr0aX3xxRfP3M/vv/9ueXMeGRmpEydOaMmSJXJzc9Pw4cMTfEzx4sXl5uamDz/8UL1791bWrFn1ww8/6Pfff1e7du0kPb57dMuWLdW1a1e1atVKqVOn1qpVq/Ttt99q+vTpkh6fmQ4ODta8efP0xhtv6Ny5c5o7d66ioqIsX5tUsWJFTZo0ST179lSbNm3k7OyslStXytXVVTVr1pSzs7P69++v4cOHy9nZWTVr1tTdu3cVHBysq1evqkSJEnJzc1OJEiU0c+ZMubi4yMvLS2fOnNG6dev09ttvP/G58fDw0Lhx49SrVy+9++67atOmjTw9PXXlyhWtWLFCR44cUVBQkOXma7b061nSp0+vQ4cO6eeff37mTc3+a9u2bcqRI4cqV66svXv3atWqVerbt6/lRnI1atTQxo0b5ePjowIFCigkJCTemcz06dNLkjZs2CAfHx/ly5fPphqkxwGuSpUqGjZsmK5fv67cuXNrzZo1OnHiRILX9v93//8+/oEDB+qDDz5Qly5dFBAQoEePHmnevHmKioqy3GTtaX799VdJjwP+P//8o/DwcC1ZskSenp6Wu2wfOXJEJ0+e1CeffJLgNurUqaN06dJp5cqVVjftivtKr39zcnKy/LfwLM/7+kybNq1mzZqlnj17qmHDhnrvvfdUunRppU6dWn/88YfWrVuno0ePqnr16gl+VZe/v7++/PJL9ezZU3369FHevHm1c+dOrV27Vr169bK8BqTHZ7V79+6ttm3b6uzZs5o8ebKqVKmiSpUqyWQyKU+ePFqxYoVy5syp9OnT6/vvv7d8E8B/vwLtafz9/S1fBde4ceNEPw5A8kXABgAkG/7+/kqXLp3mzp2rnj17yt3dXdWqVdOAAQPiXRM5cuRIzZ07V+fPn1fx4sW1aNGiRAWzXr16WX53cXFRnjx5VKdOHXXp0iXB6zMlKXXq1Fq0aJGCgoI0duxY3b17V56envr0008td14uVqyYVqxYoSlTpujDDz+U2WxW0aJFNWvWLNWqVUvS468Wu3XrlpYuXapZs2YpV65caty4sUwmk+bOnau7d++qWLFimjNnjmbNmqUBAwYoJiZGJUuW1KJFi1SoUCFJj+9knS5dOi1YsECrVq1S2rRpVbp0aU2aNMkSDD/99FNNnTpVixYt0rVr15QlSxY1b978iV9hFKdq1ar6+uuvtWjRIs2dO1fXr19XxowZVbJkSa1atcpyVtjWfj1Lt27dFBwcrM6dOyd4HfvTDBs2TBs3btSSJUuULVs2ffTRR1ZhLzAwUNHR0Ro/frxSpUql+vXra+DAgfr4448tY9566y198803Gjp0qJo3b66RI0faVEOcKVOmaNy4cQoKClJ0dLRq1aqlVq1aKTQ09KmP++/xV6pUSYsXL9b06dM1YMAAubq6qmzZsho/frzlxnpP895771l+d3NzU758+dSqVSt16tTJ8sHD2rVr5ezsrLp16ya4jTRp0ujtt99WSEiI1V3Qg4OD4411dnZOdMCWnv/1WaRIEa1bt06rV6/W5s2btXLlSv3zzz/Knj27ypUrp6FDhyZ46UTc8SxbtkxBQUGaNm2aIiIiVKhQIY0dOzbeZRoBAQG6d++eevbsKVdXVzVq1EiDBw+2fFASHByssWPHaujQoXJ1dVWRIkU0e/ZsffbZZzp48KDatm2bqOchR44cKlasmLJmzWr54ApAymYyJ/ZODAAAJAMhISEKDAzUjh07lDdvXnuXA1hcvHhRv/76q2rVqmV1M7Q+ffro/PnzWrdunR2rQ3J09epV1axZU9OnT7e6+zyAlIsz2AAAAAZwcnLS0KFDVatWLTVv3lzOzs76/vvvtW3bNn3++ef2Lg/JSNz18Fu3bpWnp6f8/PzsXRIAgxCwAQAADJArVy7Nnz9fs2bNUr9+/RQdHa3ChQtr0qRJ8b4vHK+2hw8favHixcqRI4cmT55syE32ACQPTBEHAAAAAMAAfFwGAAAAAIABCNgAAAAAABiAgA0AAAAAgAG4yRkczuHDh2U2m+Xi4mLvUgAAAACkcI8ePZLJZJKvr+8zx3IGGw7HbDZbfuAYzGazoqKi6KkDoaeOh546HnrqeOip46GnL4ct2YIz2HA4Li4uioqKUpEiRZQ2bVp7lwMD3L9/X7///js9dSD01PHQU8dDTx0PPXU89PTlCA8PT/RYzmADAAAAAGAAAjYAAAAAAAYgYMNhmUwme5cAg5hMJqVJk4aeOhB66njoqeOhp46Hnjoeepr8mMxcEQ8HE3eNhLe3t50rAQAAAGCL2JhYOTknr/PAtuQLbnIGhzVh6CKd//OKvcsAAAAAkAj5CuXUh+M62ruMF0LAhsM6/+cVnf79vL3LAAAAAPCKSF7n3gEAAAAASKEI2AAAAAAAGICADQAAAACAAQjYAAAAAAAYgIANAAAAAIABCNgAAAAAABiAgA0AAAAAgAEI2AAAAAAAGICADQAAAACAAQjYAAAAAAAYgIANAAAAAIABCNgAAAAAABiAgP0KiIiIkI+PjypXrqxHjx7Z9Ng//vhDu3btsvzt5eWlkJAQgysEAAAAgJSPgP0K2Lhxo7JkyaJ79+5p+/btNj22a9euCg8PT6LKAAAAAMBxELBfAWvXrlW1atVUsWJFrVy50t7lAAAAAIBDImA7uNOnT+u3335TlSpV9NZbb+nAgQM6c+aMZf2RI0cUEBAgX19flStXTr1799alS5ckSX5+frp48aJmzpyptm3bWh5z5swZtW/fXt7e3qpWrZrmzp1rWTdjxgy1b99eM2fOVOXKleXr66vhw4fr8uXL6tq1q3x8fFSnTh2raeeXLl1S//79ValSJZUoUULVq1fXxIkTFRsbm/RPEAAAAAAYhIDt4NasWaO0adOqevXqqlOnjlxcXCxnsWNiYtS1a1eVK1dOYWFhWrJkiS5duqSPPvrI8ticOXOqY8eOmjFjhmWby5cvV5MmTbRp0ya1atVKkydP1o8//mhZf/DgQZ05c0YrVqzQxx9/rFWrVql58+aqV6+eQkJCVLhwYQ0dOlRms1mS1L17d927d0+LFy/Wli1b1LFjRy1YsEA7d+58ic8UAAAAALwYArYDi46OVlhYmPz8/OTm5qaMGTOqatWqCg0N1cOHDxUREaFbt24pe/bsypMnj0qUKKGpU6eqX79+kqTMmTPL2dlZadOmVcaMGS3bDQgIUJMmTZQvXz716NFDHh4e+t///mdZHxsbq1GjRqlgwYJq1qyZMmXKpIoVK6pJkyYqXLiwWrVqpVu3bunatWt68OCBGjdurNGjR6tYsWLKly+f2rdvr6xZs+rEiRMv+RkDAAAAgOdHwHZgu3fv1vXr19WgQQPLsgYNGuj27dvavHmzMmTIoE6dOmn06NGqVKmS+vbtq59//lleXl5P3a6np6fV3+nTp9fDhw8tf2fJkkXu7u6Wv9OmTav8+fNb/nZzc5MkRUVFyc3NTW3atNHPP/+sMWPGqHPnzqpevbquX7/OFHEAAAAAKUoqexeApBP3dVq9evWKt27lypVq0qSJBg0apICAAO3evVs//vijRo8erQULFig0NFSurq4JbtfZ2Tnesrjp3pLk4uISb72TU8Kf5dy/f19t2rTRgwcPVLduXTVt2lSlSpVS69atE3WMAAAAAJBcELAd1I0bN7R79275+/urQ4cOVuuWLFmitWvX6vjx4/rqq6/00UcfqVWrVmrVqpV++eUXBQQE6Pjx4ypVqlSS17l3714dPXpU+/btU9asWSVJt2/f1o0bN6xCOwAAAAAkdwRsBxUWFqbo6Gh17txZhQoVslrXrVs3rVu3Tl999ZU2btyoBw8eqEuXLnJyctK6deuUIUMGy2PSpUuns2fP6vr165YAbKScOXNa6n377bd1+fJlTZ48WY8ePVJUVJTh+wMAAACApMI12A4qJCRElStXjheuJSl//vyqXbu2Nm7cqLlz5+rixYtq0aKFmjZtqgsXLmjx4sWWa6jbtm2rXbt2qWPHjklSZ6lSpRQYGKilS5eqXr16CgwMVLly5dSwYUOFh4cnyT4BAAAAICmYzMzDhYOJC+bzRq/X6d/P27kaAAAAAIlR+PV8mrH6I3uXEU9cvvD29n7mWM5gAwAAAABgAAI2AAAAAAAGIGADAAAAAGAAAjYAAAAAAAYgYAMAAAAAYAACNgAAAAAABiBgAwAAAABgAAI2AAAAAAAGIGADAAAAAGAAAjYAAAAAAAYgYAMAAAAAYAACNgAAAAAABkhl7wKApJKvUE57lwAAAAAgkRzh/TsBGw7rw3Ed7V0CAAAAABvExsTKyTnlTrROuZUDTxEVFaXIyEh7lwGDREZG6tixY/TUgdBTx0NPHQ89dTz01PE4Yk9TcriWCNhwYGaz2d4lwCBms1mRkZH01IHQU8dDTx0PPXU89NTx0NPkh4ANAAAAAIABCNgAAAAAABiAgA0AAAAAgAEI2AAAAAAAGICADQAAAACAAQjYAAAAAAAYgIANh2UymexdAgxiMpmUJk0aeupA6KnjoaeOh546HnrqeOhp8mMy86VpcDDh4eGSJG9vbztXAgAAAMAWsTGxcnJOXueBbckXqZK6GMBeJo7/WufPX7N3GQAAAAASIV++bBo85F17l/FCCNhwWOfPX9PpU5ftXQYAAACAV0TyOvcOAAAAAEAKRcAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDATmGGDh2qtm3bJnr87NmzVb58efn6+io8PFxeXl46cOBAElYIAAAAAK8mArYDu3fvnqZNm6aAgABt2LBBHh4e9i4JAAAAABwWAduB3b17V2azWRUrVlSePHmUKlUqe5cEAAAAAA6LxJWC+fn5qXXr1vr111+1d+9eubq6qlGjRho6dKh++eUXtWvXTpL0/vvvq3z58vr888+tHj906FBdvHhRy5Yte+Kyq1evaty4cfr+++/l7OwsX19fDR06VJ6enpbxkpQpUyaFhobq/v37qlixoj799FPlyJFDQ4cO1bp16+LVnidPHu3cuVOxsbGaP3++QkJCdPHiRbm6uqp06dIaPny48ufPnxRPGwAAAAAkCc5gp3DTpk1TuXLlFBYWpg8//FDLly/Xhg0b5Ovrq6+//lqSNGPGDM2YMcPmbd+/f99yvffy5cu1bNkyZcqUSS1atNDVq1ct4zZs2KDbt29r+fLlmj9/vo4ePaqpU6dKkoYNG6a9e/dafqZNmyZnZ2f17t1bkrR06VItXLhQQ4cO1datWzVr1iydPXtW48aNe8FnBgAAAABeLgJ2Cle1alW1a9dO+fLlU7NmzVSsWDEdOnRIrq6uypw5syQpQ4YMypgxo83b3rhxo+7evauJEyeqWLFiKlq0qMaOHSt3d3etXr3aMs7Dw0OffvqpChcurPLly6t+/fo6dOiQZV22bNmULVs2RUZGasSIEerYsaOaNm0qScqfP7/Gjx+vmjVrKk+ePKpUqZLq1q2rkydPvviTAwAAAAAvEVPEU7jChQtb/e3h4aFHjx4Zsu1jx47pzp07KleunNXyhw8f6vTp05a/8+fPLxcXl6fWcOfOHXXp0kXlypXTwIEDLcv9/Pz022+/adq0aTpz5ozOnDmjU6dOKUeOHIYcAwAAAAC8LATsFM7V1TXeMrPZ/Nzbi46OtvweGxurggULavbs2fHGpU2b9qk1/NujR4/Uq1cvpUmTRhMmTJDJZLKsmzdvnmbNmqWmTZuqUqVKat++vXbs2KGNGzc+9zEAAAAAgD0QsF9hLi4uioiIsFp27tw5ubm5SZKKFi2qb775Rh4eHpbp5o8ePdLAgQNVt25d1a9fP1H7GT58uM6cOaM1a9ZYBXNJmjNnjnr27KkuXbpYli1cuPCFPiQAAAAAAHvgGuxX2BtvvKHjx48rLCxM58+f16xZs6yufX7nnXeUIUMG9enTR7/99ptOnz6toUOHas+ePfLy8krUPubOnatNmzZp0qRJcnFx0bVr1yw/MTExypUrl/bt26dTp07pzz//1JQpU7Rt2zZFRUUl1WEDAAAAQJLgDPYr7J133tHvv/+uMWPGKDo6WvXq1dP777+vw4cPS3p8LfXy5cs1YcIEffDBB4qJiVGJEiW0aNGieNd+P8mqVav04MEDvf/++/HW7dixQxMmTNCnn36qZs2aKV26dPLx8dGoUaM0cuRIXbp0Sblz5zb0mAEAAAAgqZjMzMWFgwkPD5ckzZ/7vU6fumznagAAAAAkRuEiuTR9Zg97lxFPXL7w9vZ+5limiAMAAAAAYAACNgAAAAAABiBgAwAAAABgAAI2AAAAAAAGIGADAAAAAGAAAjYAAAAAAAYgYAMAAAAAYAACNgAAAAAABiBgAwAAAABgAAI2AAAAAAAGIGADAAAAAGAAAjYAAAAAAAYgYAMAAAAAYIBU9i4ASCr58mWzdwkAAAAAEskR3r8TsOGwBg95194lAAAAALBBbEysnJxT7kTrlFs58BRRUVGKjIy0dxkwSGRkpI4dO0ZPHQg9dTz01PHQU8dDTx2PI/Y0JYdriYANB2Y2m+1dAgxiNpsVGRlJTx0IPXU89NTx0FPHQ08dDz1NfgjYAAAAAAAYgIANAAAAAIABCNgAAAAAABiAgA0AAAAAgAEI2AAAAAAAGICADQAAAACAAQjYcFgmk8neJcAgJpNJadKkoacOhJ46HnrqeOip46GnjoeeJj8mM1+aBgcTHh4uSfL29rZzJQAAAABsERMbK2en5HUe2JZ8kSqpiwHs5bNZ6/TXpev2LgMAAABAIuTPnVUf9Wxq7zJeCAEbDuuvS9d16uwVe5cBAAAA4BWRvM69AwAAAACQQhGwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsB2In5+fZsyYYe8yAAAAAOCVRMAGAAAAAMAABGwAAAAAAAxAwH6FrF27VvXq1VOpUqVUr149ffHFF4qNjZUkXbhwQV5eXgoNDVXDhg1VqlQptWjRQr/88ovl8UOHDlWfPn3UsWNHlS5dWvPnz5ck7dq1Sy1atJCvr6+qVq2qzz//XA8ePLA8bvfu3fL395ePj48qVaqkoUOH6s6dO5KkJk2aKDAw0KrO77//Xt7e3rp9+3YSPyMAAAAAYBwC9iti1apVmjBhgnr16qWNGzeqX79+mj9/viZNmmQ1bty4cerWrZvWrVunQoUKqWPHjjp//rxl/datW1W5cmWtXbtWDRs21Pbt29W9e3fVqFFDISEhGjVqlDZt2qQBAwZIkm7evKlevXqpWbNm2rRpk2bOnKmff/5ZEyZMkCT5+/tr69atVoE8NDRUfn5+ypgxY9I/MQAAAABgkFT2LgAvR3BwsLp3764GDRpIkvLly6eIiAiNGjVKffv2tYzr0qWLGjZsKEkaPXq09u/fr9WrV2vgwIGSpAwZMqhTp06W8X369FGdOnXUo0cPSVLBggVlNpvVs2dPnTp1So8ePVJUVJRy586tPHnyKE+ePJozZ45iYmIkSY0aNdKECRP07bffqmHDhoqIiNC3336r6dOnv5TnBQAAAACMQsB+Bdy8eVNXrlzR5MmTNW3aNMvy2NhYPXz4UBcuXFDq1KklSRUqVLCsd3FxUcmSJXXy5EnLsgIFClht++TJk5bQHqd8+fKWdfXr11fDhg3VrVs3ZcuWTVWqVFGNGjVUp04dSVKmTJlUq1Yty9T0zZs3y8PDQ1WrVjX2SQAAAACAJEbAfgXEXWcdGBioypUrx1ufK1cu/f3335KkVKmsXxIxMTFycvq/Kwnc3Nys1pvN5ifuL25bQUFB6tmzp/bs2aMffvhBgwcPVpkyZfTFF19Ikpo1a6Zu3brpxo0bCgsLU+PGjeXs7Py8hwsAAAAAdsE12K+ALFmyKHPmzDp//rwKFChg+Tl69KimTp1qNTY8PNzye1RUlI4ePaoSJUo8cdteXl46dOiQ1bKDBw9KkgoXLqzffvtNn332mQoVKqT27dtr3rx5+uyzz7R//37duHFDklS1alVly5ZNq1ev1sGDB+Xv72/QkQMAAADAy8MZbAdz7tw57dmzx2qZm5ubOnfurClTpih37tyqXr26Tpw4oZEjR6pWrVpydXW1jJ06daqyZs2qvHnzas6cOYqMjFSLFi2euL9OnTqpb9++Cg4OVr169XT27FmNHj1aNWvWVOHChXX69Gl9+eWXcnFxUYsWLfTw4UNt2rRJnp6eypQpkyTJyclJTZo00Zw5c+Tt7a3ChQsnzZMDAAAAAEmIgO1g1q9fr/Xr11sty5Mnj3bu3KnUqVNr2bJlGjdunLJmzaoWLVqoT58+VmNbtWql8ePH69KlS/Lx8dGyZcuUPXv2J+7v7bff1uTJkzV79mwFBwcrc+bMatiwoWW7hQsX1owZMzRz5kx9+eWXcnJyUsWKFTV//nyrqef+/v6aM2cOZ68BAAAApFgmc0IX0eKVc+HCBdWqVUtLly61utHZy3LgwAF17dpV33//vTw8PF5oW3HT3Get3K9TZ68YUR4AAACAJFbEM6fmjO1s7zLiicsX3t7ezxzLGWzY1enTp3Xy5EnNmTNHTZs2feFwDQAAAAD2wk3OYFfnzp1TYGCgMmbMqP79+9u7HAAAAAB4bpzBhiQpb968OnHixEvfr5+fn3799deXvl8AAAAAMBpnsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwQCp7FwAklfy5s9q7BAAAAACJ5Ajv3wnYcFgf9Wxq7xIAAAAA2CAmNlbOTil3onXKrRx4iqioKEVGRtq7DBgkMjJSx44do6cOhJ46HnrqeOip46GnjscRe5qSw7VEwIYDM5vN9i4BBjGbzYqMjKSnDoSeOh566njoqeOhp46HniY/BGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGw4LJPJZO8SYBCTyaQ0adLQUwdCTx0PPXU89NTx0FPHQ0+TH5OZL02DgwkPD5ckeXt727kSAAAAAE8SExsrZ6fkf87XlnyRKqmLAexl5JJ1Onvlur3LAAAAAPAfnjmzamT7pvYuw3AEbDiss1eu6+SFK/YuAwAAAMArIvmfjwcAAAAAIAUgYAMAAAAAYAACNgAAAAAABiBgAwAAAABgAAI2AAAAAAAGIGADAAAAAGAAAjYAAAAAAAYgYAMAAAAAYAACNgAAAAAABiBgAwAAAABgAAI2AAAAAAAGIGDDom3btvLy8nriz82bN+Xn56cZM2a80H6M2AYAAAAAJDep7F0Akpd69epp2LBhCa7LlCnTS64GAAAAAFIOAjasuLm5KVu2bPYuAwAAAABSHKaIw2bXrl1Tp06d5O3tLT8/P61YscJq/eHDh9WuXTuVKVNGFSpUUGBgoG7duvXE7X399ddq1KiRSpUqpTfeeEMBAQEKDw9P6sMAAAAAAEMRsGGz1atXq2zZsgoLC1OHDh00duxYbd++XZJ05MgRtW3bVq+99ppWr16tadOm6bffftMHH3ygmJiYeNvavn27Pv30U3Xq1EmbN2/WkiVL9PDhQ3388ccv+7AAAAAA4IUwRRxW1q9fr61bt8ZbXrt2bU2cONHye7du3SRJBQsW1K+//qpFixapTp06WrRokby8vPTJJ59IkgoXLqzJkyercePG2rt3r958802r7WbMmFFjx47VO++8I0nKkyePmjdvrk8//TQpDxMAAAAADEfAhhU/Pz8NGjQo3vK0adNafi9TpozVOh8fH+3evVuSdPLkSVWpUsVqfbFixeTh4aETJ07EC9jlypXT6dOnNWvWLP355586d+6cTpw4odjYWKMOCQAAAABeCgI2rKRLl04FChR46hgnJ+srC2JjY+Xq6ipJMpvNCT7GbDbLxcUl3vL169dr6NChatSokUqXLq2WLVvq5MmTnMEGAAAAkOIQsGGzo0ePWv39yy+/6LXXXpMkeXl56ZdffrFaf/z4cUVERKhw4cLxtjVv3jw1b95co0aNsizbsWOHpMeh3GQyGV0+AAAAACQJAjasPHjwQNeuXUtwXYYMGSRJGzduVLFixVSjRg19++232r59u7744gtJUocOHRQQEKDRo0crICBA169f1+jRo1W8eHFVqlQp3jZz5cqlQ4cO6ejRo/Lw8NDOnTu1fPlySVJUVJRSp06dREcKAAAAAMYiYMPK5s2btXnz5gTXTZs2TZL0wQcf6LvvvtPkyZOVJ08eBQUFqUKFCpIeX4+9YMECTZ06VU2aNJG7u7tq166tgQMHJjhF/JNPPtHw4cPVpk0bubq6qlixYpowYYL69++v8PBwlS1bNukOFgAAAAAMZDI/6aJZIIWK+w7toI37dfLCFTtXAwAAAOC/iubNqSVDO9u7jESJyxfe3t7PHMv3YAMAAAAAYAACNgAAAAAABiBgAwAAAABgAAI2AAAAAAAGIGADAAAAAGAAAjYAAAAAAAYgYAMAAAAAYAACNgAAAAAABiBgAwAAAABgAAI2AAAAAAAGIGADAAAAAGAAAjYAAAAAAAYgYAMAAAAAYIBU9i4ASCqeObPauwQAAAAACXDU9+oEbDiske2b2rsEAAAAAE8QExsrZyfHmlT93Edz584d7dixQ1999ZVu3rypP//8U2az2cjagOcWFRWlyMhIe5cBg0RGRurYsWP01IHQU8dDTx0PPXU89NTxpPSeOlq4lp7zDPbs2bM1d+5cPXjwQCaTSaVKldLUqVN169YtLVq0SOnTpze6TsBmfODjOMxmsyIjI+mpA6GnjoeeOh566njoqeOhp8mPzR8ZLF++XDNmzFCHDh20evVqSzPbtGmj8+fPa9q0aYYXCQAAAABAcmdzwF62bJm6dOmivn37qkSJEpblb775pvr166edO3caWiAAAAAAACmBzQH70qVLKl++fILrChUqpOvXr79wUQAAAAAApDQ2B+xcuXLp8OHDCa773//+p1y5cr1wUQAAAAAApDQ23+SsefPmmjFjhtzc3FSjRg1J0v3797V161bNnTtXHTp0MLpGAAAAAACSPZsDdufOnXXhwgVNmjRJkyZNkiS1a9dOktSoUSN17drV2AoBAAAAAEgBbA7YJpNJn376qTp06KD9+/frzp078vDwULly5VS0aNGkqBF4LiaTyd4lwCAmk0lp0qShpw6Enjoeeup46KnjoaeOh54mPyYzX5oGBxMeHi5J8vb2tnMlAAAAAJ4kJjZWzk423xbspbMlX9h8BjsqKkrLly/XoUOHdPfu3XjrTSaTvvjiC1s3Cxju49UhOnONu9oDAAAAyU3BbFk1poW/vcswnM0B+9NPP9WaNWv02muvKWPGjPHWc0IcycWZa9d1/NIVe5cBAAAA4BVhc8Devn27evfurZ49eyZFPQAAAAAApEg2T3h3cnKSr69vUtQCAAAAAECKZXPAbtKkidasWaPY2NikqAcAAAAAgBTJ5ini/fr1U5MmTfT222+rRIkSSpMmjdV6k8mkzz77zLACAQAAAABICWwO2JMmTdKZM2eUJk0aHTlyJN56voMNAAAAAPAqsjlgh4WFqX379vrwww/llAK+swwAAAAAgJfB5oQcExOjmjVrEq4BAAAAAPgXm1NynTp1tHnz5qSoBQAAAACAFMvmKeI+Pj6aNGmSjh8/Ll9fX6VLl85qvclk4juyAQAAAACvHJsD9siRIyVJv/76q3799dd46wnYAAAAAIBXkc0B+/jx40lRBwAAAAAAKZrhdyqLiIgwepNIgJ+fn7y8vCw/JUuWVI0aNTRixAjdvHnTMs7Ly0shISGJ2uaFCxfk5eWlAwcOvFBtf/zxh3bt2vVC2wAAAACAlMbmM9hRUVH64osv9NNPPykqKkpms1mSZDabdf/+fZ06dUq//fab4YUivo4dO6pjx46SpAcPHujkyZOaOHGi2rRpo1WrVsnDw0N79+6Vh4fHS62ra9euatq0qWrUqPFS9wsAAAAA9mRzwJ4wYYKWL1+uokWL6ubNm0qdOrUyZ86skydP6tGjR+rVq1dS1IkEpE2bVtmyZbP8nS9fPr3++utq0KCBFixYoP79+1utBwAAAAAkHZuniG/btk0dOnRQWFiY2rRpo5IlS+rrr7/Wtm3blCdPHsXGxiZFnUik3Llzq06dOtq4caMk6yniUVFRGj9+vPz8/FSyZEmVL19effv2tZpSLkmHDx9Wo0aNVLJkSfn7+2v//v1W69euXat69eqpVKlSqlevnr744gtL3/38/HTx4kXNnDlTbdu2lSTdu3dPn3zyiSpWrKgyZcqoXbt2Cg8Pt2wvMjJSw4YNU5UqVeTt7a0mTZpo27ZtSfYcAQAAAEBSsDlg37x5U9WrV5ckFS1a1BKUcuTIoS5dumjTpk3GVgibFS1aVOfPn9c///xjtXzChAnatm2bxo0bp61bt2rcuHHav3+/Zs+ebTVu4cKF6t69u7755hsVL15cXbt21dWrVyVJq1at0oQJE9SrVy9t3LhR/fr10/z58zVp0iRJ0po1a5QzZ0517NhRM2bMkNlsVufOnXX+/HnNnTtXq1ev1htvvKFWrVrp2LFjkqRp06bpxIkTmjdvnjZt2qTq1aurf//+unDhwkt4tgAAAADAGDZPEffw8FBUVJQkqUCBArp8+bIiIiLk7u4uT09PXb582fAiYZv06dNLin/DOW9vb9WtW1dly5aVJOXJk0eVK1fWyZMnrcb17t1b9evXl/T4a9l++OEHffnll+rfv7+Cg4PVvXt3NWjQQNLjaekREREaNWqU+vbtq8yZM8vZ2Vlp06ZVxowZ9eOPP+rXX3/V/v37lTFjRknSgAEDdOjQIS1dulTjxo3TX3/9pXTp0ilfvnxKnz69+vbtq3LlyilDhgxJ+TQBAAAAgKFsDthly5bVsmXLVL58eRUoUEBp0qTRt99+qyZNmujw4cNyd3dPijphg3v37klSvF40btxYP/zwgyZNmqSzZ8/qzz//1JkzZyyBO06ZMmUsv6dKlUrFixfXH3/8oZs3b+rKlSuaPHmypk2bZhkTGxurhw8f6sKFCypcuLDVto4ePSqz2ayaNWtaLY+KitLDhw8lSZ07d1a3bt1UqVIllSpVSlWqVFGjRo1e+s3ZAAAAAOBF2Bywe/XqpdatW6tLly5atmyZAgIC9Mknn2jp0qU6ceKEWrVqlRR1wgZHjx6Vp6en0qVLZ7V8+PDh2rp1q5o0aSI/Pz/17NlTCxcutEz/juPs7Gz1d0xMjFKnTm25zjowMFCVK1eOt99cuXLFWxYbGyt3d/cEvyrM1dVVkuTr66vdu3dr3759+vHHHxUaGqrZs2drwYIFqlSpkm0HDwAAAAB2YnPA9vLy0ubNmy3TigcOHCh3d3cdOnRIfn5+6tKli+FFIvGuXLmiHTt2qHPnzlbLb926pVWrVmnKlCmW6d+S9Oeffypt2rRWY//3v/+pWLFikh6faf7f//6nli1bKkuWLMqcObPOnz+vAgUKWMZv2rRJ27dv1/jx4+PVU7RoUUVEROjRo0cqUqSIZfnHH3+sYsWKqU2bNpo+fbrKlCmjWrVqqVatWgoMDFSDBg20detWAjYAAACAFMPmgC1J2bJls3z9k8lkUrdu3QwtColz//59Xbt2TdLj78E+ceKEpk6dqrx586pDhw5WY93d3eXh4aEdO3aoRIkSevDggZYvX66jR4/Kx8fHamxQUJAyZswoT09PBQcHKyoqSq1bt5bJZFLnzp01ZcoU5c6dW9WrV9eJEyc0cuRI1apVy3JGOl26dDp79qyuX7+uatWq6fXXX1f//v01bNgw5cqVS19++aVCQkK0cOFCSdL58+cVFham0aNHK3/+/Prtt9906dIl+fr6voRnEQAAAACMkaiA/fPPP9u00XLlyj1XMbDNokWLtGjRIkmSi4uLcuXKpfr166tjx47xpoe7uLho2rRpGjdunBo1aqQMGTKoQoUKGjBggObOnavIyEjL2N69e2vSpEm6cOGCSpUqpcWLF1tuUNaxY0elTp1ay5Yt07hx45Q1a1a1aNFCffr0sTy+bdu2Gj9+vP744w+FhYVp0aJFmjhxovr166fIyEgVLlxYM2fOtJydHjFihMaPH6/Bgwfr9u3bypMnjwYNGqTGjRsn8TMIAAAAAMYxmc1m87MGFStWTCaTKcF1cQ//9/rff//doPIA28V9ddy4PT/q+KUrdq4GAAAAwH8Vy51TK3qmjMuL4/KFt7f3M8cm6gz20qVLn7r+9OnTmjx5su7duyc/P7/EbBIAAAAAAIeSqIBdvnz5BJebzWYtWLBAM2fOlJubmyZOnKhGjRoZWiAAAAAAACnBc93kTHp81jowMFBHjhxR7dq1NWrUKGXJksXI2gAAAAAASDFsDthms1nz58/XrFmzlCZNGgUFBalBgwZJURsAAAAAACmGTQH79OnTGjp0qMLDw/XWW29p5MiRypw5c1LVBgAAAABAipGogB0bG2s5a+3u7q4pU6aoXr16SV0bAAAAAAApRqICdosWLXT06FGlT59enTp10sOHDxUaGvrE8U2aNDGoPAAAAAAAUoZEBez//e9/kqQ7d+5owoQJTx1rMpkI2AAAAACAV06iAvaOHTuSug4AAAAAAFK0RAXsPHnyJHUdAAAAAACkaE72LgAAAAAAAEdAwAYAAAAAwAA2fQ82kJIUzJbV3iUAAAAASICjvlcnYMNhjWnhb+8SAAAAADxBTGysnJ0ca1L1cx9NbGysjh8/rj179igiIkK3b982sCzgxURFRSkyMtLeZcAgkZGROnbsGD11IPTU8dBTx0NPHQ89dTwpvaeOFq6l5zyD/c033ygoKEh///23nJyc9PXXX2vGjBlycXFRUFCQXF1dja4TsJnZbLZ3CTCI2WxWZGQkPXUg9NTx0FPHQ08dDz11PPQ0+bH5I4NNmzZpyJAhqlixoqZMmaLY2FhJUp06dbR7924FBwcbXiQAAAAAAMmdzWew58yZo5YtW2rkyJGKiYmxLG/WrJlu3ryp1atXq1+/fkbWCAAAAABAsmfzGewzZ86oTp06Ca7z8fHR1atXX7goAAAAAABSGpsDdpYsWXT69OkE150+fVpZsmR54aIAAAAAAEhpbA7Y9evX1/Tp07VlyxZFRUVJkkwmk/73v/8pODhYdevWNbxIAAAAAACSO5uvwe7Xr59Onjypfv36yen/31a9bdu2un//vsqWLau+ffsaXiQAAAAAAMmdzQHb1dVVCxYs0L59+7R//37dvn1bHh4eKl++vN58802ZTKakqBOwGa9Fx2EymZQmTRp66kDoqeOhp46Hnjoeeup46GnyYzIb8KVp0dHRioiIUMaMGQ0oCXgx4eHhkiRvb287VwIAAAC8WmJiY+XsZPOVyMmaLfnC5jPY0dHRmjNnjgoUKKBGjRrpwIED6tOnj+7evavy5ctr+vTpypAhg+1VAwYL3LhGf964bu8yAAAAgFdCoSxZ9XmD5vYuw65sDtjTp0/XwoUL9dFHH0mSxowZo4wZM6pnz55avHixgoKC9OmnnxpeKGCrP29c1/G/L9u7DAAAAACvCJvP3W/cuFEDBgxQ69atdfr0af3xxx/q3r272rVrp/79+2vnzp1JUScAAAAAAMmazQH777//lo+PjyRp165dcnJyUvXq1SVJOXPm1L1794ytEAAAAACAFMDmgJ09e3ZduHBBkrRz5069/vrrypw5syTp8OHDypkzp7EVAgAAAACQAtgcsBs2bKjPP/9cH3zwgX755Rc1a9ZMkjR27FjNmDFDjRo1MrxIAAAAAACSO5tvctavXz+lTZtWP//8swYOHKiAgABJj29d3rFjR3Xv3t3wIgEAAAAASO5sDtgmk0ldu3ZV165drZavXLnSsKIAAAAAAEhpbA7YknT16lX98ssvioqKsiyLjY1VZGSkDh48qClTphhWIAAAAAAAKYHNAXvLli0aNGiQoqOjZTKZJElms9nye6FChYytEAAAAACAFMDmm5zNmTNHJUqUUEhIiPz9/dW4cWNt3LhRgwcPlrOzsz766KOkqBMAAAAAgGTN5jPYZ86cUVBQkIoXL64KFSpo0aJFKly4sAoXLqzr169rzpw5qlKlSlLUCgAAAABAsmXzGWwnJydlyJBBklSgQAH9+eefio2NlSRVr15dp06dMrZCAAAAAABSAJsDdqFChXTo0CHL71FRUTp+/Lgk6e7du1Y3PgMAAAAA4FVhc8Bu2bKlpk2bpilTpsjDw0MVK1ZUYGCgli1bpqCgIJUoUSIp6nylREdH64svvpC/v798fX1VsWJFdezYUfv377caFxMToy+//FLNmzeXr6+vypYtq5YtW2rNmjUym82SHt+Arnbt2urdu/cT99ehQwd17NhRkjR06FC1bdvWsq5t27by8vKy/JQoUUJVq1bVoEGDdOHCBZuO65dfftHrr78eb/nZs2fVpUsXlS1bVtWrV9f06dMVHR1t07YBAAAAwN5sDtjvvvuuhg0bZjlT/emnn+rhw4caO3asoqOjNWzYMMOLfJU8fPhQ7dq105IlS9S2bVutW7dOS5YsUeHChdWhQwetX79ekvTo0SN1795d06dPV5MmTbRu3TqtWrVKdevW1bhx49SzZ0/FxMTIZDLJ399fu3bt0r179+Lt78qVK9q/f7+aN2/+xJrq1aunvXv3au/evdq6dasmTpyov/76Sy1bttSlS5cSdVy//PKLevToYbmcIM6dO3fUunVrRUZG6osvvtDkyZO1efNmDR8+3IZnDQAAAADs77m+B7t169aW3/Pnz6/Nmzfr1q1bypw5s2GFvaqmTZumEydOaMOGDcqVK5dl+bBhwxQREaExY8bIz89Pixcv1sGDB7VmzRqrr0YrXLiwypcvrxYtWmjhwoXq0qWL/P39NWPGDG3ZskXvvvuu1f7CwsKUPn161a5d+4k1ubm5KVu2bJa/8+bNq5IlS6phw4aaPHmyJk2a9MTHRkdHa+LEiVqxYoWKFi2q27dvW61ft26d7t+/r2nTplleP2PGjFFAQIB69OihvHnzJup5AwAAAAB7s/kMdpzTp09r6dKlmjRpkv7++2/9+eefioiIMLK2V86jR4+0du1a+fv7W4XrOP369dP8+fPl5uamZcuWyd/fP8HvHS9evLgaN26sZcuWKTY2Vjlz5lSVKlUsZ7//LTQ0VO+8845cXV1tqtXDw0P+/v7avn37U6+7v3//vn7++WctWLBAbdq0ibf+3LlzKlSokNWHM8WLF5ckHTx40KaaAAAAAMCebA7YsbGx+vjjj9WwYUN99tlnWrhwoa5fv67g4GA1btxYV65cSYo6Xwnnz5/X7du3Vbp06QTX58iRQ6VKldLZs2efOk6SKlWqpL///lvnz5+XJDVr1kw///yzrl69ahlz5MgRnT59Ot5Z7cQqWrSoHjx4oLNnzz5xTPr06RUSEqKKFSsmuD579uz6+++/FRMTY1l28eJFSdKNGzeeqy4AAAAAsAebA3ZwcLDWr1+vMWPGaN++fZabaQ0ePFhms1lTpkwxvMhXxZ07dyTJ8jVozxqXKVOmJ46JW3fz5k1JUq1atZQ+fXpt2LDBMiY0NFSlSpVS0aJFn6ve9OnTS1KC13YnVr169XT79m19/vnnun//vq5fv64xY8YoVapUevTo0XNvFwAAAABeNpsD9tq1a9WnTx81a9ZMGTNmtCx//fXX1adPH+3bt8/I+l4pcdOk/3ud8n/FheenBdu4EB63TVdXV73zzjuWaeJRUVHauHHjU29u9ixx+0+fPr3CwsLk6+tr+enUqVOituHp6alp06Zpy5YtKlOmjN5++23VqFFDmTJlkoeHx3PXBgAAAAAvm803Obt+/XqCX7UkPZ7CfPfu3Rcu6lWVL18+Zc2aVYcOHVL9+vXjrT99+rTGjh2rwMBAZcuWTT///LPeeuutBLf1008/KVu2bFY3CWvevLmWLl2qU6dO6cyZM4qKilKDBg2eu96jR48qbdq08vT0VK5cueTj42NZ5+bmlujt+Pn5yc/PT3///bcyZsyo6OhojRs3Tvny5Xvu2gAAAADgZbP5DHaBAgW0e/fuBNf99NNPKlCgwAsX9apycnJS8+bNFRISosuXL8dbv2DBAoWHhytPnjxq37691qxZo9OnT8cb98cffyg0NFRt2rSRs7OzZbmXl5dKliypTZs2aePGjapbt67c3d2fq9aIiAiFhoaqbt26cnFxkbu7uwoUKGD5yZEjR6K2c/DgQbVt21bR0dHKnj27XF1dtW3bNqVJk+ap15gDAAAAQHJj8xns999/X8OHD9ejR49Us2ZNmUwmnTt3TgcOHNCiRYs0dOjQpKjzldGtWzd9//33CggIUN++fVW6dGndvn1bX331lUJDQzVlyhSlTZtWHTt2VHh4uFq3bq3evXuratWqkqS9e/dq+vTpqlixojp37hxv+82bN9cXX3yhq1evav78+Ymq6cGDB7p27Zqkx3c6//PPPxUcHCyz2ax+/fq90PEWKlRIJ06c0Pjx49WuXTudOHFCY8aMUdeuXZ87/AMAAACAPdgcsN99913dvHlTs2fP1ldffSWz2awBAwbIxcVFnTp1UqtWrZKizldGmjRptHz5ci1atEjz58/XpUuX5ObmpuLFi2vZsmUqW7aspMdnu6dNm6bQ0FCtWrVKU6ZMkdls1muvvaZBgwapefPmMplM8bbfsGFDjRs3Trly5bJs61k2b96szZs3S5JSpUqlbNmyqXbt2po8eXKiz1Q/SebMmTVnzhyNGzdODRs2VLZs2dSrVy+1b9/+hbYLAAAAAC+byRx3G3AbRURE6PDhw7p9+7bSp08vHx8fq5ueAfYSHh4uSRpzeJ+O/x1/qj0AAAAA4xXLnkur2nWzdxmGi8sX3t7ezxxr8zXYcdzd3VWtWjU1atRIWbJk0U8//cQNzgAAAAAAryybA/bff/+ttm3bKjg4WJK0fPlyvfvuu+rTp4/eeust/fHHH4YXCQAAAABAcmdzwJ44caLOnDkjb29vxcbGas6cOapcubJCQ0NVpEgRBQUFJUWdAAAAAAAkazYH7L1792rIkCGqVq2aDh06pOvXr6tdu3YqVqyYOnXqpIMHDyZFnQAAAAAAJGs2B+z79+8rZ86ckqQ9e/bI1dVVFStWlCS5urrqOe+ZBgAAAABAimZzwPb09NTBgwf16NEjbd26VeXLl1fq1KklSWFhYfL09DS6RgAAAAAAkj2bA3bnzp01c+ZMVapUSefPn1eHDh0kSc2bN1dYWJg++OADw4sEAAAAACC5S2XrAxo2bKhcuXLpl19+Ufny5fXGG29IksqVK6c+ffqoevXqRtcIAAAAAECyZ3PAlqQyZcqoTJkyVsuGDBliSEEAAAAAAKREiQrYgYGB6tGjh/Lly6fAwMCnjjWZTPrss88MKQ4AAAAAgJQiUQH7wIEDev/99y2/P43JZHrxqgAAAAAASGESFbB37tyZ4O8AAAAAAOCx57oGOzY2Vrdv35YkZcqUibPWSJYKZclq7xIAAACAVwbvv20M2Bs2bNDKlSv122+/KTo6WpLk5uam0qVLq1WrVqpdu3aSFAk8j88bNLd3CQAAAMArJSY2Vs5ONn8btMNIVMCOiYnRwIEDtWXLFuXIkUMNGjRQ1qxZZTabdeXKFf3000/q3bu3GjdurHHjxiV1zcAzRUVFKTIyUmnSpLF3KTBAZGSkzpw5o4IFC9JTB0FPHQ89dTz01PHQU8eTHHv6KodrKZEB+8svv9S2bds0bNgwtWnTJt6U8JiYGK1cuVKfffaZypYtq+bNOXMI+zObzfYuAQYxm82KjIykpw6Enjoeeup46KnjoaeOh54mP4n6eCE0NFQtW7ZU27ZtE7ze2tnZWa1bt1aLFi20bt06w4sEAAAAACC5S1TAPnPmjKpXr/7McdWqVdPJkydfuCgAAAAAAFKaRAXsyMhIZciQ4ZnjMmXKpH/++eeFiwIAAAAAIKVJVMA2m81ydnZ+9sacnJj/DwAAAAB4Jb3at3gDAAAAAMAgif4e7JEjR8rd3f2pYyIiIl64IAAAAAAAUqJEBexy5cpJevbXHqVLl05ly5Z98aoAAyR0x3ukTCaTSWnSpKGnDoSeOh566njoqeOhp46HniY/JjMXTcPBhIeHS5K8vb3tXAkAAADw6oiJjZWzk+NdhWxLvkj0FHEgpRm1Z7XO3b5m7zIAAAAAh1cgYzaNqN7C3mXYHQEbDuvc7Ws6efOSvcsAAAAA8IpwvPP3AAAAAADYAQEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABOwVo27athg4dmuC6oUOHqm3btvF+DwwMVOXKlRUTE5Pg42bPnq2yZcvqwYMHlmUffPCBNm3aZDVuypQp8vLy0hdffJHgdry8vBQSEiJJunDhgry8vKx+fHx81KBBA82bN0/R0dFWj42KitLMmTNVt25dlSxZUuXKldMHH3yg/fv3J+JZAQAAAIDkhYDtoJo1a6YbN25o3759Ca4PDQ1Vw4YN5ebmJkmKjIzUoUOHVKVKFcuY2NhYhYaGqmDBglq1alWi9z1jxgzt3btX33//vdatW6fWrVtr7ty5GjJkiNW4jz/+WBs2bNDQoUO1ZcsWLV26VHnz5lXHjh31448/PsdRAwAAAID9ELAdVNmyZeXp6an169fHW/frr7/q7Nmzat68uWXZjz/+qGLFiilDhgyWZXv37tWVK1c0ePBgnT59Wj///HOi9p0hQwZly5ZN2bNnV6FChRQQEKDPP/9cGzZs0A8//CBJioiIUFhYmAYOHKgaNWoob968ev311zVq1Ch5e3trxYoVL/gMAAAAAMDLRcB2YM2aNdO3336ryMhIq+Xr1q1TsWLFVLJkScuy3bt3680337QaFxISoqJFi8rPz0+5cuXSypUrn7uWOnXqKHfu3NqwYYNlmZOTk/bu3Rtv6vj06dP1ySefPPe+AAAAAMAeCNgOrEmTJnr48KF27NhhWRYVFaXNmzfr3XfftRr7/fffq3r16pa/b9++rR07dqhu3boymUyqV6+etm7dqps3bz5XLSaTSa+99pqOHz8uSXJ3d1dAQIBWrlypatWqaeDAgVq5cqX++usv5ciRQzly5Hiu/QAAAACAvRCwU4j169fL19c33k9CU8DjZM+eXdWrV7cas3PnTj148ECNGjWyLDt16pSioqL0+uuvW5Zt2LBBUVFRatCggSSpQYMGevTokeWGZs/Dw8NDERERlr8//vhjBQUFqVixYtq2bZtGjBihOnXq6IMPPtDVq1efez8AAAAAYA+p7F0AEsfPz0+DBg2Kt3zSpEm6ffv2Ex/XvHlz9e3bVzdv3lTmzJkVGhqqOnXqWF1rvXv3blWrVk0mk8mybO3atSpRooQ8PT0lSSVLlpSnp6dWr16tDz74wGpsYkVERMjDw8NqWcOGDdWwYUM9ePBAhw8f1vbt27V69Wr17t1bq1evtnkfAAAAAGAvBOwUIl26dCpQoECCy58WsGvUqKGMGTNq8+bNqlevnr7//nstWLDAaszu3bsVEBBg+fv48eM6duyYTCaTihcvblkeGxsrs9msH374wepu44lhNpt19OhR1axZU5J04MAB7dy5U4GBgZIkNzc3VapUSZUqVVLhwoX16aefWj4UAAAAAICUgIDt4FKlSqV33nlHmzdvlslkUs6cOVWxYkXL+oiICB05ckSzZs2yLFuzZo1cXFy0dOlSubu7W5b/888/atu2rVatWmVzwN6+fbuuXbtmmZoeERGhJUuWqH79+vLx8bEa6+HhITc3N6t9AwAAAEByR8B+BTRv3lxffPGF/vnnHzVr1sxqevcPP/ygkiVLWqZuR0VFaf369Xr77bdVunTpeNtq2LCh1q9fr2vXrilbtmwJ7u/OnTu6du2azGazIiIi9NNPPykoKEhNmjRR+fLlJUk1a9ZU+fLl1b17d/Xu3VsVK1ZUTEyMwsPDFRQUpM6dO8vV1TUJng0AAAAASBoE7FdA4cKFVapUKf3222+aPXu21bo9e/ZY3T38u+++0+3bt9W6desEt9W+fXutW7dOX3/9tXr06JHgmN69e1t+d3NzU5EiRTRgwAC99957luVOTk6aN2+eFi5cqC+//FITJkxQbGysChcurL59+1p9RzcAAAAApAQms9lstncRgJHCw8MlSVPO7NHJm5fsXA0AAADg+Ipmzq1F7/S0dxlJIi5feHt7P3MsX9MFAAAAAIABCNgAAAAAABiAgA0AAAAAgAEI2AAAAAAAGICADQAAAACAAQjYAAAAAAAYgIANAAAAAIABCNgAAAAAABiAgA0AAAAAgAEI2AAAAAAAGICADQAAAACAAQjYAAAAAAAYgIANAAAAAIABUtm7ACCpFMiYzd4lAAAAAK8E3ns/RsCGwxpRvYW9SwAAAABeGTGxsXJ2erUnSb/aRw+HFRUVpcjISHuXAYNERkbq2LFj9NSB0FPHQ08dDz11PPTU8SS3nr7q4VoiYMOBmc1me5cAg5jNZkVGRtJTB0JPHQ89dTz01PHQU8dDT5MfAjYAAAAAAAYgYAMAAAAAYAACNgAAAAAABiBgAwAAAABgAAI2AAAAAAAGIGDDYZlMJnuXAIOYTCalSZOGnjoQeup46KnjoaeOh546Hnqa/JjM3NMdDiY8PFyS5O3tbedKAAAAgFdDrDlWTibHPH9rS75IldTFAPYy97fluhxx1d5lAAAAAA4tl3sOdfVpY+8ykgUCNhzW5YirOnf3or3LAAAAAPCKcMxz+AAAAAAAvGQEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwHZQ0dHR+uKLL+Tv7y9fX19VrFhRHTt21P79+y1jvLy8FBIS8kL7MWIbAAAAAOAIUtm7ABjv4cOH6tChgy5fvqw+ffrI19dXDx480Nq1a9WhQwdNmDBBjRo1sneZAAAAAOBQCNgOaNq0aTpx4oQ2bNigXLlyWZYPGzZMERERGjNmjPz8/OxYIQAAAAA4HqaIO5hHjx5p7dq18vf3twrXcfr166f58+fLzc1NknTmzBm1b99e3t7eqlatmubOnWs1fteuXWrRooV8fX1VtWpVff7553rw4MET9//dd9/J399fpUqVUp06dTR16lRFRUVZ1nt5eWn69OmqWbOmqlatqrNnz+rSpUvq37+/KlWqpBIlSqh69eqaOHGiYmNjDXpWAAAAACDpEbAdzPnz53X79m2VLl06wfU5cuRQqVKl5OzsLElavny5mjRpok2bNqlVq1aaPHmyfvzxR0nS9u3b1b17d9WoUUMhISEaNWqUNm3apAEDBiS47T179qhfv35q0aKFNmzYoBEjRmjz5s0aPHiw1bgvv/xS06dP18yZM+Xp6anu3bvr3r17Wrx4sbZs2aKOHTtqwYIF2rlzp4HPDAAAAAAkLaaIO5g7d+5IkjJkyJCo8QEBAWrSpIkkqUePHlq0aJH+97//qVKlSpo3b57q1KmjHj16SJIKFiwos9msnj176tSpUypSpIjVtubMmaMWLVqoZcuWkqT8+fNr1KhRev/993XhwgXlzZtXktS4cWN5e3tLkh48eKDGjRurXr16ljPu7du31/z583XixAnVrl37xZ4QAAAAAHhJCNgOJnPmzJKk27dvJ2q8p6en1d/p06fXw4cPJUknT55UgwYNrNaXL1/esu6/AfvYsWM6cuSI1qxZY1lmNpslSadPn7YE7AIFCljWu7m5qU2bNtqyZYuOHDmic+fO6cSJE7p+/TpTxAEAAACkKARsB5MvXz5lzZpVhw4dUv369eOtP336tMaOHavAwEBJskwV/7e4UBz3v/8WF3pTpYr/0omNjVWnTp3UtGnTeOuyZctm+T3u+m9Jun//vtq0aaMHDx6obt26atq0qUqVKqXWrVs/61ABAAAAIFnhGmwH4+TkpObNmyskJESXL1+Ot37BggUKDw9Xnjx5nrktLy8vHTp0yGrZwYMHJUmFCxeON/61117TmTNnVKBAAcvPlStXNGHCBP3zzz8J7mPv3r06evSoli5dqj59+qh+/fpyd3fXjRs3Egz4AAAAAJBcEbAdULdu3eTp6amAgACFhobqr7/+0pEjRxQYGKjQ0FCNHj1aadOmfeZ2OnXqpG3btik4OFhnzpzRd999p9GjR6tmzZoJBuzOnTtr69atmjlzps6cOaMff/xRgYGBunfvntUZ7H/LmTOnJCksLEwXL17UwYMH1aNHDz169Mjq7uMAAAAAkNwxRdwBpUmTRsuXL9eiRYs0f/58Xbp0SW5ubipevLiWLVumsmXLJmo7b7/9tiZPnqzZs2crODhYmTNnVsOGDdWnT58Ex9etW1dTpkzR3LlzNWfOHGXMmFF+fn4aNGjQE/dRqlQpBQYGasmSJZo6dapy5Mih+vXrK1euXAoPD3+u4wcAAAAAezCZmYcLBxMXzNfe3aZzdy/auRoAAADAsRVIn0cjqwy0dxlJJi5fxH0T0tMwRRwAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADBAKnsXACSVXO457F0CAAAA4PB43/1/CNhwWF192ti7BAAAAOCVEGuOlZOJCdI8A3BIUVFRioyMtHcZMEhkZKSOHTtGTx0IPXU89NTx0FPHQ08dT3LqKeH6MZ4FOCyz2WzvEmAQs9msyMhIeupA6KnjoaeOh546HnrqeOhp8kPABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDAhsMymUz2LgEGMZlMSpMmDT11IPTU8dBTx0NPHQ89dTz0NPkxmfnSNDiY8PBwSZK3t7edKwEAAAAcW6w5Vk4mxz5va0u+SJXUxQD2sv5EsG7cv2TvMgAAAACHlCVtbjXy6mHvMpIVAjYc1o37l3T1n7P2LgMAAADAK8Kxz+UDAAAAAPCSELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAySrgB0RESEfHx9VrlxZjx49slrn5+enGTNmJGo7bdu21dChQ1+oFiO2YasZM2bIy8vruR574cIFeXl5Wf34+PioQYMGmjdvnqKjoy1jDxw4IC8vL124cMGo0gEAAADglZfK3gX828aNG5UlSxZdu3ZN27dvV/369e1Wy4wZM+Ts7PxS92kymV54GzNmzJCvr6/MZrMiIiK0f/9+BQUF6cSJEwoKCpIk+fr6au/evcqcOfML7w8AAAAA8FiyCthr165VtWrVdOnSJa1cudKuATtjxowvfZ9Zs2ZVtmzZXmgbGTJksGwje/bsKlSokLJmzarevXurWbNmqly5slxdXV94PwAAAAAAa8lmivjp06f122+/qUqVKnrrrbd04MABnTlzJsGxfn5+8aZDe3l5KTAw0DLmn3/+UWBgoMqWLasyZcpo6NChun//vtX+OnfuLF9fX1WtWlUDBw7UtWvXLOv/PUU8JCREderU0cqVK1WjRg35+PioT58+unr1qgYNGiRfX19Vr15da9assTzebDZr/vz5qlWrlnx8fNS4cWOFhYVZ1h84cEDFixfXvHnzVKFCBfn7+6tQoUIqUqSIZczChQtVu3ZtlSxZUn5+fpo1a5bMZrPNz22dOnWUO3dubdiwwbLvf08RP3LkiAICAuTr66ty5cqpd+/eunTpkuXxV69eVf/+/VW2bFlVqFBB3bp109mzZy3ro6KiNH78ePn5+alkyZIqX768+vbtq5s3b1rGhIaGqkGDBvL29la1atU0duxYRUVFWdYfOnRIrVu3VqlSpVSjRg2NGjVKERERNh8rAAAAANhLsgnYa9asUdq0aVW9enXVqVNHLi4uWrly5RPH7t271/LTsWNHpUuXTu3bt7eM2bZtm7Jnz66QkBBNmDBBmzZt0vz58yU9DowBAQEqUKCA1qxZozlz5igiIkLvvfeeVQj/t0uXLmnLli2aN2+epk+frh07dqhRo0YqUaKE1q5dq+rVq2vkyJG6deuWJGnKlCn66quv9Mknn2j9+vVq166dRo4cqRUrVli2GRMTo927d2vVqlUaO3asypcvryVLlkiSdu7cqblz52rUqFHatm2bBg0apNmzZ1uF9MQymUx67bXXdPz48XjrYmJi1LVrV5UrV05hYWFasmSJLl26pI8++kiSdP/+fbVt21aStHz5ci1btkyZMmVSixYtdPXqVUnShAkTtG3bNo0bN05bt27VuHHjtH//fs2ePVuSdPz4cX388cfq3bu3tm7dqs8++0zffPONFixYYFnfoUMHVatWTWFhYZo0aZKOHj2qjh07PtcHCgAAAABgD8liinh0dLTCwsLk5+cnNzc3ubm5qWrVqgoNDdWAAQOUOnVqq/H/vnZ4+/btWrp0qWbNmmV1g7BSpUqpf//+kqT8+fOrSpUq+t///idJ+uqrr5QzZ059/PHHlvFTp05VxYoVtWXLFvn7+ydY4yeffKLChQuraNGiKlasmFxcXNShQwdJUocOHfT111/r7NmzSp06tZYsWaLJkyerRo0alhouXryohQsXqnXr1pbtduzYUZ6envH299dff8nV1VV58uRR7ty5lTt3bmXPnl25c+e28dl9zMPDw+qsc5yIiAjdunVL2bNnV548eZQvXz5NnTpVN27ckPT4uvi7d+9q4sSJSpXq8ctl7NixOnDggFavXq3evXvL29tbdevWVdmyZSVJefLkUeXKlXXy5ElJj2/AZjKZrI5l4cKFcnd3l/T4TH2VKlXUrVs3SZKnp6eCgoJUu3Zt/fTTT6pQocJzHTMAAAAAvEzJImDv3r1b169fV4MGDSzLGjRooO+++06bN29WkyZNEnxceHi4Bg8erMGDB1uCbJz/htYMGTLo4sWLkqRjx47pjz/+kK+vr9WYhw8f6vTp00+sM3/+/Jbf06ZNq1y5cln+jvsQICoqSqdOndLDhw81cOBAOTn93ySB6OhoRUVF6cGDB0+sM84777yjtWvX6u2331aRIkVUuXJlvf32288dsCMiIuTh4RFveYYMGdSpUyeNHj1a06dPV8WKFfXmm2+qXr16kh4/V3fu3FG5cuWsHvfv56px48b64YcfNGnSJJ09e1Z//vmnzpw5Ywnc1apVk6+vr5o3b668efOqSpUqqlWrlkqWLGnZx7lz5+L1Q3o8lZ+ADQAAACAlSBYBOyQkRJLUq1eveOtWrlyZYMC+fPmyunfvrnfeecdqanicp90BPDY2VhUrVtSIESPirUsohMZxcXGx+vvf4fnf4qY1T506VYUKFYq33tXV1fL7f8/Ox8mcObO++eYbHT58WPv27dPevXu1dOlS9e7dO8Hn6WnMZrOOHj2qmjVrJrh+0KBBCggI0O7du/Xjjz9q9OjRWrBggUJDQxUbG6uCBQtapnv/W9q0aSVJw4cP19atW9WkSRP5+fmpZ8+eWrhwoWUKeerUqbV06VIdO3bMMq2/W7duatKkiT7//HPFxsaqUaNGljPY/30eAAAAACAlsPs12Ddu3NDu3bvl7++v0NBQq59mzZrp8OHDlqnGcSIiItS1a1cVLlxYw4cPt3mfr732mk6fPq1cuXKpQIECKlCggDJkyKDPPvss3r6eR6FChZQqVSpdunTJsv0CBQpo9+7dWrhw4ROD+b+FhYXpq6++UpkyZdSnTx+tXr1a7777rjZt2mRzPdu3b9e1a9fUqFGjeOv+/PNPjRgxQlmyZFGrVq00ffp0LViwQKdPn9bx48dVtGhRXbp0SR4eHpbjyJ07t4KCgvTzzz/r1q1bWrVqlUaMGKHAwED5+/vr9ddf159//mn5oGH37t2aOXOmihcvri5dumjp0qXq06eP5Vhee+01nTp1yuq5io6O1ueff67Lly/bfLwAAAAAYA92P4MdFham6Ohode7cOd7Z3m7dumndunVWNzuLiYlR//799fDhQ40ZM0a3b9+2BDlnZ+dEnfEMCAjQqlWrNGjQIPXo0UOSNH78eJ04cUJFixZ94WPy8PBQy5YtNW3aNLm7u6t06dI6cOCAJk6cqK5duyZqGw8fPtT48eOVLl06lS1bVleuXNHPP/9smXb9JHfu3NG1a9cs34P9008/KSgoSE2aNFH58uXjjc+UKZM2btyoBw8eqEuXLnJyctK6deuUIUMGFSpUSAULFtS8efPUp08fDR48WO7u7goODtaePXvUt29fubu7y8PDQzt27FCJEiX04MEDLV++XEePHpWPj4+kx2f+Z82aJXd3d9WqVUt37tzRrl27LFPCO3bsqNatW2vUqFFq06aN7t69q1GjRunBgwdPnEIPAAAAAMmN3QN2SEiIKleunOBU6vz586t27doKCwuz3GDr8uXL2rNnjySpdu3aVuPz5MmjnTt3PnOf+fLl0/LlyxUUFKRWrVrJ2dlZpUuX1tKlSw2bkhwYGKhMmTJp2rRp+vvvv5UrVy716dNHnTp1StTj3333Xd2+fVvBwcG6fPmyMmTIoLfffluDBg166uN69+5t+d3NzU1FihTRgAED9N577yU4PlOmTJo/f76CgoLUokULxcTE6I033tDixYstNyFbvny5JkyYoA8++EAxMTEqUaKEFi1apMKFC0uSpk2bpnHjxqlRo0bKkCGDKlSooAEDBmju3LmKjIxU5cqVNXbsWC1atEhTpkyRm5ub3nzzTcvXoL3xxhtasGCBpk2bpqZNmypt2rSqVKmShgwZYjWdHgAAAACSM5OZ70GCgwkPD5ck/RK9Slf/OWvfYgAAAAAHlSOdp9r7jrF3GUkuLl94e3s/c6zdr8EGAAAAAMARELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADpLJ3AUBSyZI2t71LAAAAABwW77fjI2DDYTXy6mHvEgAAAACHFmuOlZOJidFxeCbgkKKiohQZGWnvMmCQyMhIHTt2jJ46EHrqeOip46GnjoeeOp7k0FPCtTWeDTgss9ls7xJgELPZrMjISHrqQOip46GnjoeeOh566njoafJDwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwIbDMplM9i4BBjGZTEqTJg09dSD01PHQU8dDTx0PPXU89DT5MZn50jQ4mPDwcEmSt7e3nSsBAAAAHJfZHCOTydneZSQ5W/JFqqQuBrCXQ6dGKSLynL3LAAAAAByOe5oCKl1khL3LSHYI2HBYEZHndOf+SXuXAQAAAOAVwTXYAAAAAAAYgIANAAAAAIABCNgAAAAAABiAgA0AAAAAgAEI2AAAAAAAGICADQAAAACAAQjYAAAAAAAYgIANAAAAAIABCNgAAAAAABiAgA0AAAAAgAEI2AAAAAAAGCCVvQtAynLhwgXVqlXrievLly8vScqTJ4/GjRunkJAQBQYG6sSJEy+rRAAAAACwCwI2bJIrVy7t3bs33vKtW7dq9OjRqlOnjt555x05OzvboToAAAAAsB8CNmzi7OysbNmyWS07duyYJk6cqLp166pdu3Z2qgwAAAAA7ItrsPFC7t27p759+ypXrlwaO3asJKlt27YaOnRoguO3bNmikiVLauXKlZKkO3fu6OOPP1a1atVUokQJVapUSR9//LEiIyNf2jEAAAAAgBE4g40XEhgYqGvXrunrr7+Wu7v7U8d+++23Gjx4sEaMGKF3331XkjR06FBdvXpVM2fOVJYsWXTo0CF99NFHKlKkiNq3b/8SjgAAAAAAjEHAxnNbvHixtm/frokTJ+q111576thdu3ZpwIABGjVqlPz9/S3Lq1SponLlysnLy0uSlDdvXi1fvlwnT55M0toBAAAAwGgEbDyXw4cPKygoSAEBAXrnnXeeOb5v376KiopS3rx5rZYHBARo586dWrdunc6ePatTp07pwoULKlSoUFKVDgAAAABJgmuwYbObN2+qX79+KlasmAIDAxP1mDFjxuitt97SsGHDLNdXx8bGqmvXrhozZoxSpUql+vXra+7cuSpdunRSlg8AAAAASYIz2LCJ2WzW4MGD9eDBA02fPl2urq6JelyjRo1UsWJF1a9fX5MnT9awYcP0+++/a8+ePVq9erV8fHwkSY8ePdJff/2lfPnyJeVhAAAAAIDhCNiwydy5c7Vv3z6NHz9eLi4uunbtmtX6p33/dbZs2Sw3Oatbt67y5s2rVKlSafPmzcqcObNu376tOXPm6Nq1a4qKikrqQwEAAAAAQxGwYZN9+/bJbDbrww8/THB9njx5lCdPnic+/t1331VYWJg++ugjffPNNxo3bpxmzJihFStWKFu2bKpRo4bat2+vnTt3JtUhAAAAAECSMJnNZrO9iwCMFB4eLkm6pSm6c5+7kQMAAABGy5C2qKp7L7J3GS9FXL7w9vZ+5lhucgYAAAAAgAEI2AAAAAAAGICADQAAAACAAQjYAAAAAAAYgIANAAAAAIABCNgAAAAAABiAgA0AAAAAgAEI2AAAAAAAGICADQAAAACAAQjYAAAAAAAYgIANAAAAAIABCNgAAAAAABgglb0LAJKKe5oC9i4BAAAAcEi8104YARsOq3SREfYuAQAAAHBYZnOMTCZne5eRrDBFHA4pKipKkZGR9i4DBomMjNSxY8foqQOhp46Hnjoeeup46KnjsXdPCdfxEbDhsMxms71LgEHMZrMiIyPpqQOhp46Hnjoeeup46KnjoafJDwEbAAAAAAADmMx83AEHc+jQIZnNZrm4uMhkMtm7HBjAbDbr0aNH9NSB0FPHQ08dDz11PPTU8dDTlyMqKkomk0mlS5d+5lhucgaHE/ePC//IOA6TySRXV1d7lwED0VPHQ08dDz11PPTU8dDTl8NkMiU6W3AGGwAAAAAAA3ANNgAAAAAABiBgAwAAAABgAAI2AAAAAAAGIGADAAAAAGAAAjYAAAAAAAYgYAMAAAAAYAACNgAAAAAABiBgAwAAAABgAAI2AAAAAAAGIGADAAAAAGAAAjYAAAAAAAYgYCPFiY2N1fTp01WtWjW98cYb6ty5s86fP//E8bdu3dLAgQNVrlw5lS9fXqNGjVJkZORLrBjPYmtP//jjD3Xp0kUVKlRQpUqV1KdPH126dOklVoxnsbWn/xYWFiYvLy9duHAhiauELWzt6aNHjxQUFGQZ36ZNG/3+++8vsWI8i609vXHjhgYOHKiKFSuqQoUK6t+/v65evfoSK4Yt5s6dq7Zt2z51DO+RUpbE9JT3SPZHwEaKExwcrC+//FKjR4/WypUrFRsbq06dOikqKirB8X369NG5c+e0ZMkSTZs2Tbt379bIkSNfbtF4Klt6euvWLXXo0EFubm5atmyZ5s+fr5s3b6pTp056+PChHapHQmz97zTOxYsX9emnn76kKmELW3s6cuRIhYSE6LPPPtPatWuVOXNmde7cWffu3XvJleNJbO1pv379dOnSJS1evFiLFy/WpUuX1LNnz5dcNRJjxYoVmjp16jPH8R4p5UhMT3mPlEyYgRTk4cOHZl9fX/OKFSssy+7cuWMuVaqUef369fHGHzp0yFy0aFHzqVOnLMu+//57s5eXl/nKlSsvpWY8na09Xb16tdnX19ccGRlpWXbp0iVz0aJFzT/88MNLqRlPZ2tP48TExJhbtWplbteunblo0aLm8+fPv4xykQi29vSvv/4ye3l5mb/77jur8TVr1uS/02TC1p7euXPHXLRoUfOOHTssy7799ltz0aJFzbdu3XoZJSMRrly5Yu7atav5jTfeMNetW9fcpk2bJ47lPVLKYEtPeY+UPHAGGynK8ePH9c8//6hSpUqWZenTp1fx4sX1888/xxt/8OBBZcuWTYULF7YsK1++vEwmk3755ZeXUjOeztaeVqpUScHBwXJzc7Msc3J6/E/Z3bt3k75gPJOtPY0zZ84cPXr0SF27dn0ZZcIGtvZ037598vDwUPXq1a3G79y502obsB9be+rm5qZ06dIpNDRUERERioiI0DfffKOCBQsqffr0L7N0PMXRo0fl4uKisLAw+fj4PHUs75FSBlt6ynuk5CGVvQsAbHHlyhVJUq5cuayWZ8+e3bLu365evRpvrKurqzJmzKjLly8nXaFINFt7mjdvXuXNm9dq2bx58+Tm5qZy5colXaFINFt7KklHjhzRokWLtGbNGq7pTIZs7emZM2eUL18+bdu2TfPmzdPVq1dVvHhxDR061OrNPOzH1p66urpq3LhxGj58uMqWLSuTyaTs2bNr+fLlljfwsD8/Pz/5+fklaizvkVIGW3rKe6TkgX8RkaLE3XjD1dXVannq1KkTvLYkMjIy3tinjcfLZ2tP/2vZsmVavny5Bg0apMyZMydJjbCNrT29f/++Bg0apEGDBsnT0/NllAgb2drTiIgInTt3TsHBwRowYIBmz56tVKlSKSAgQDdu3HgpNePpbO2p2WzW77//Ll9fX61YsUJffPGFcufOrR49eigiIuKl1Axj8R7J8fEeyT4I2EhR4qa8/PcGLA8fPlSaNGkSHJ/QzVoePnyotGnTJk2RsImtPY1jNps1depUjRkzRt27d3/mXTXx8tja0zFjxqhgwYJq2bLlS6kPtrO1p6lSpVJERISmTJmiqlWrqlSpUpoyZYokad26dUlfMJ7J1p5u3rxZy5cv18SJE1WmTBmVL19ec+bM0cWLF7VmzZqXUjOMxXskx8V7JPsiYCNFiZvK9Pfff1st//vvv5UjR45443PmzBlvbFRUlG7fvq3s2bMnXaFINFt7Kj3++p/Bgwdrzpw5CgwMVL9+/ZK6TNjA1p6uXbtWP/zwg3x9feXr66vOnTtLkho2bKg5c+YkfcF4puf5tzdVqlRW08Hd3NyUL18+vn4tmbC1pwcPHlTBggXl7u5uWZYhQwYVLFhQ586dS9pikSR4j+SYeI9kfwRspCjFihWTu7u7Dhw4YFl29+5dHTt2LMFrS8qVK6crV65Y/Z//Tz/9JEkqU6ZM0heMZ7K1p5L04YcfasuWLQoKClL79u1fUqVILFt7um3bNm3YsEGhoaEKDQ3VmDFjJD2+boyz2snD8/zbGx0drfDwcMuyBw8e6Pz58ypQoMBLqRlPZ2tPc+bMqXPnzllNHb5//74uXLjApR0pFO+RHBPvkeyPm5whRXF1dVWbNm00adIkZc6cWXny5NHEiROVM2dOvfXWW4qJidHNmzfl4eEhNzc3+fj4qHTp0urfv79Gjhyp+/fva/jw4WrSpMkTz47i5bK1pyEhIdq0aZM+/PBDlS9fXteuXbNsK24M7MvWnv43cMXdYCl37tzKmDGjHY4A/2VrT8uWLavKlStryJAh+vTTT5UxY0ZNnz5dzs7Oaty4sb0PB7K9p02aNNHChQvVr18/9e3bV5I0depUpU6dWv7+/nY+GiQG75EcD++RkifOYCPF6dOnj5o3b66PP/5YrVq1krOzsxYuXCgXFxddvnxZVatW1aZNmyRJJpNJM2fOVN68efX++++rX79+ql69ukaOHGnfg4AVW3q6YcMGSdKECRNUtWpVq5+4MbA/W3qKlMHWns6YMUPly5dXr1691Lx5c0VERGjp0qXcaCcZsaWn2bNn15dffimz2az3339fHTp0kIuLi7788kt5eHjY+UiQGLxHcjy8R0qeTGaz2WzvIgAAAAAASOk4gw0AAAAAgAEI2AAAAAAAGICADQAAAACAAQjYAAAAAAAYgIANAAAAAIABCNgAAAAAABiAgA0AAAAAgAFS2bsAAACAhJjNZplMJnuXAQBIYebOnau9e/dq2bJliRp/4MABtWvXLsF1efPm1Y4dOxK9b85gAwAAQwwdOlReXl5P/Wnbtu0zt3P37l19+OGHOnjwoM379/Pze+L6CxcuxKunZMmSqly5srp3765Dhw498bERERHy8fFRiRIldO3atQTHeHl5acaMGfGWP3z4UPXq1VP58uV1/fr1BB8bFBQkLy8v7dmz5xlHCQB4mhUrVmjq1Kk2PcbX11d79+61+pk5c6ZMJpN69Ohh07Y4gw0AAAzRo0cPtWzZ0vJ3cHCwjh07ppkzZ1qWubu7P3M7v//+u7755hs1a9YsSers3r27atSoIelx+L1y5YqWLVum1q1ba8aMGapdu3a8x2zYsEEeHh6KiYnRmjVr1L1790TvL3Xq1Prss88UEBCgTz/9VNOnT7daf/ToUS1atEjvvfeeqlev/kLHBgCvqqtXr2rEiBE6cOCAPD09bXqsq6ursmXLZvn7/v37+vzzz9W0aVOb/7+IgA0AAAyRP39+5c+f3/J35syZ5erqqjfeeMN+RSUgf/788WqqV6+e2rRpo2HDhqlixYrxPggICQlRtWrV5OLioq+//lpdu3aVk1PiJwL6+vrq/fff1+LFi/Xtt99aQnx0dLQ++ugj5c6dW0OHDn3hYwOAV9XRo0fl4uKisLAwzZo1SxcvXrRa/91332nGjBk6deqUcuTIoQYNGqhHjx5ydXWNt605c+YoMjJSQ4YMsbkOpogDAICXat++fQoICFCZMmVUoUIFDRw4UJcvX5ZkfR1cu3btLFPKY2JiNG/ePDVs2FClSpXSG2+8oZYtW2r//v2G1OTq6qrevXvr9u3b2rx5s9W6U6dO6bffflONGjX0zjvv6OLFi/r+++9t3ke/fv3k6empUaNGKSIiQpK0cOFCnTx5UuPGjVPatGktYzds2KB33nlHpUqVUsWKFf9fe3cf0lQXxwH82xo0UXGWRYLOLMViUKgbKWyJUqmlQys0KrJEI+hF840kUKKCElPCNS0tRSyNtrBYlBBo5h8iSitLCkopR1krszeEXO75Q7q0Z/Xgy338o74fuDDOOff+zv1n8OOc+zvIy8vDmzdvZvaSRER/sJiYGFRUVMDf39+lr729HdnZ2UhJSYHZbEZxcTFu3bqF/Px8l7HDw8Ooq6vD3r17IZfLpzwPJthEREQ0a5qbm5Geng5fX1+UlZWhsLAQ9+/fR2pqKt6/fw+lUomioiIAQFFREYqLiwEApaWlMBgMSE1NRU1NDY4dO4aRkRFkZWVhdHRUlLlFRkZCIpG4fIttMpkgl8sRHR0NlUqFgIAANDY2Tvn5MpkMJ06cgM1mg16vh9VqhcFgQHp6OsLDw4VxPT09KCgowPr161FdXY3CwkJ0dnYiNzd3xu9IRPQ3qqqqQkpKCrZu3QqFQgGNRoOjR4/i9u3bsFqtTmMvX74MT09PpKamTisWt4gTERHRrBgfH0dpaSk0Gg1Onz4ttIeFhWHDhg24cOECCgoKEBQUBAAICgoSfr99+xaHDh1yKpI2b948HDhwAE+fPhVlG7pUKoW3t7dTETO73Y4bN24gISFB2EaYnJyMiooKvH79Gr6+vlOKoVKpsGPHDjQ0NMBisUChUCArK8tpTE9PD2QyGfbs2SPElMvl6O3tZWV1IqJp6Ovrw8OHD2E0GoU2h8MBAHj+/Dn8/PyE9ubmZiQlJUEmk00rFhNsIiIimhUDAwOw2WwuK7EKhQKhoaHo6ur67b0/EvLh4WH09/fjxYsXaG1tBQB8+/ZNtDn+O4Fta2vDu3fvsHbtWnz69AnAxDbEM2fO4OrVqzh48OCUY+Tm5qKtrQ2PHj2C0Wh0+f5PrVajvLwcCQkJiI2NRVRUFDQaDaKiomb2ckREf6nx8XFkZGQgOTnZpe/n4mZPnjzB4OAgEhMTpx2LW8SJiIhoVoyMjAAAfHx8XPp8fHzw+fPn397b29uLLVu2IDIyEhkZGWhsbBSKjP1YhZip0dFRfPz4EYsXLxbaTCYTAGDXrl1Qq9VQq9XQ6XRwOBwwGo2w2+1TjuPm5gaVSoVFixZh+fLlLv2hoaE4f/48/P39UVtbi+3bt2PNmjWTPs+ViIicBQcHY2BgAAEBAcI1NDSEkpISfP36VRjX3d2NBQsW/PK/ebK4gk1ERESz4kexmF+dBW2z2eDt7f3L+758+YKMjAyEhITg5s2bWLp0KSQSCe7evYuWlhbR5tfV1YXv379DrVYL82xvb8e2bdsQFxfnNNZisaCsrAytra1Yt26daHP4QavVQqvVYnR0FJ2dnaivr8fx48exatUqrFy5UvR4RER/sszMTGRnZ0Ov12Pjxo0YGhrCkSNH4Ofn57SC3dfXh5CQkBnF4go2ERERzYrAwEAsXLgQZrPZqX1wcBAWiwVhYWEAgLlz5zr19/f3Y2RkBDt37kRQUJCwct3e3g5gYuvfTNntdhgMBvj4+AgJ8/Xr12G325GWlobVq1c7XWlpafDw8EBTU9OMY//bqVOnsHnzZjgcDri5uSE6Olo4KubVq1eixyMi+tPFxcWhvLwcd+7cQWJiIvLz86HRaKDX653G2Wy2aVUO/xlXsImIiGhWSCQS5OTkoLCwELm5udDpdPjw4QP0ej28vLywe/duAICnpyeAie+fvby8EBgYCA8PD1RVVUEqlUIqlaKlpUUoVjPVKuIvX76ExWIBAIyNjcFqtaKpqQmPHz/G2bNn4ebmBmDi7GulUoklS5a4PEMmkyE2NhbXrl3D4OCgcCyMxWJBXV2dy3itVotly5ZNan4RERGora3F4cOHodPpMDY2hpqaGsjlckREREzpXYmI/kYnT550aYuPj0d8fPx/3lddXT3j2EywiYiIaNZs2rQJ7u7uOHfuHPbt2wcPDw9otVrk5OQI2/SCg4ORkJCAS5cu4d69ezCbzTAYDCgpKUFWVhbc3d2xYsUKNDQ0IDMzE93d3YiJiZn0HCorK1FZWQlgonL4/PnzoVKpUFRUBKVSCQB48OABnj17hoKCgt8+JykpCSaTCVeuXEFeXh4AoKOjAx0dHS5jvb29J51gR0VFobS0FBcvXsT+/fsxZ84chIeHo76+fsYrK0RE9P+a4xCrMggRERERERHRX4zfYBMRERERERGJgAk2ERERERERkQiYYBMRERERERGJgAk2ERERERERkQiYYBMRERERERGJgAk2ERERERERkQiYYBMRERERERGJgAk2ERERERERkQiYYBMRERERERGJgAk2ERERERERkQiYYBMRERERERGJgAk2ERERERERkQj+ASudMtjeKawWAAAAAElFTkSuQmCC", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " SUM(DALYs) AS TotalDALYs\n", + "FROM HealthStatistics\n", + "GROUP BY DiseaseName\n", + "ORDER BY TotalDALYs DESC\n", + "LIMIT 10;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a DataFrame\n", + "df_dalys = pd.read_sql(query, connection)\n", + "\n", + "# Display the top diseases contributing to DALYs\n", + "print(df_dalys)\n", + "\n", + "\n", + "# Bar plot for top diseases by DALYs\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(data=df_dalys, x=\"TotalDALYs\", y=\"DiseaseName\", palette=\"viridis\")\n", + "plt.title(\"Top Diseases Contributing to DALYs Globally\")\n", + "plt.xlabel(\"Total DALYs\")\n", + "plt.ylabel(\"Disease Name\")\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + 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AvailabilityOfVaccinesTreatment VARCHAR(50), + RecoveryRate DECIMAL(5,2), + DALYs DECIMAL(10,2), + ImprovementIn5Years DECIMAL(5,2), + PerCapitaIncome DECIMAL(10,2), + EducationIndex DECIMAL(5,2), + UrbanizationRate DECIMAL(5,2) +); diff --git a/GlobalHealth.xlsx b/GlobalHealth.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..d764ef902bb993404e70d04cce14e9e058ef4937 GIT binary patch literal 11274 zcmeHtg+C%6qR0fJkQ;7))5f#3}8?hqV;TY@{mA-D!-aCe75(BQ7$B)j*^ zZg$_l;NCvZbGpy;sd}dS)UT?#s+44*VQ>I&00aO4Kmk}{e6L~o1OUK*1pu%C2vAz0 zHr9?HYe!vGH(QW{HnXdhC3!Xs6kR3&3iAH{+JEs5l*G#`cCw-b9ZKB=GpJ7*fAz)C ztb-<#{MdE%B+G8b)C#M6dG_Ij^#w&hKSQ;Sc}?ibRw;=I+X9zUAf~S@-Tv~YwBw^Nm zlMGeOIE|`KE=neBRstv}tirF7An-Wz3L@jq3D*~>h`D&owv9qx_x2AT8F(g^L`pth z21neu|EfCbZ6V+$4N9?R70%oIGU2V4JuFp?{&ub8n1iQa-RY{p2@L#|4_+kYyz!^> zK=SB!6Vc8j7uYeM9@lF{Jz7miNh}Ett9G~{^7Z%#4N&?UNNZlRQl3F(E#7zi3rhkKyS)?_>l`KTv2ge)Yh6l%KHS(j!86d{ZRx#x@t1w8n=L5Rw8dDEm>S_>@5szY%G3Qv69zTHaR>P58mVV@Leu=gIWmYjqB8lYBDax99D<9 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-A data project lifecycle has many phases, rather than being just an isolated analysis in a single tool. -In this project you will experience doing an analysis using both Python and SQL to obtain the final result, by exploring each tool's behavior. - -## Project Overview - -Pick up a dataset in our common datasets repos and break your work into big steps: - 1. Pick a topic and choose a dataset on that topic. Build around 10 Business questions to answer about this topic. - - Try to build the questions before knowing everything about the data - - If not possible, do step 2. first - 2. Data Analysis: Understand your dataset and create a report (word document) about it - 3. Data Exploration and Business Understanding: - - Import your dataset into SQL - - Answer your Business questions with SQL Queries - - -## Dataset repos - - - [Kaggle](https://www.kaggle.com/) - - [Machine Learning Repository](https://archive.ics.uci.edu/) - - [PorData](https://www.pordata.pt/) - - [And many more](https://medium.com/@LearnPythonProgramming/best-data-sources-for-datasets-beyond-kaggle-98aac51e971e) - - -## Bonus - - - Bonus points if you augment your data with data your obtain through WebScrapping - - Bonus points if you include visualizations from Python and/or Tableau in the final presentation - -## Deliverables - -1. **Python Code:** Provide well-documented Python code that conducts the analysis and SQL upload. -2. **SQL text file (.sql)** well commented document with all the queries answering the Business questions -3. **Short Presentation:** Structure the presentation in the following way: - - Intro Slides: introduce the problem and the datasets - - Data cleaning and assumptions - - Business questions and SQL query (1 slide per question with a print screen of the query and the answer is enough) -4. **PDF Document** with notes you might want to share - - +![logo_ironhack_blue 7](https://user-images.githubusercontent.com/23629340/40541063-a07a0a8a-601a-11e8-91b5-2f13e4e6b441.png) + +# Business Challenge: EDA and SQL + +## Introduction + +A data project lifecycle has many phases, rather than being just an isolated analysis in a single tool. +In this project you will experience doing an analysis using both Python and SQL to obtain the final result, by exploring each tool's behavior. + +## Project Overview + +Pick up a dataset in our common datasets repos and break your work into big steps: + 1. Pick a topic and choose a dataset on that topic. Build around 10 Business questions to answer about this topic. + - Try to build the questions before knowing everything about the data + - If not possible, do step 2. first + 2. Data Analysis: Understand your dataset and create a report (word document) about it + 3. Data Exploration and Business Understanding: + - Import your dataset into SQL + - Answer your Business questions with SQL Queries + + +## Dataset repos + + - [Kaggle](https://www.kaggle.com/) + - [Machine Learning Repository](https://archive.ics.uci.edu/) + - [PorData](https://www.pordata.pt/) + - [And many more](https://medium.com/@LearnPythonProgramming/best-data-sources-for-datasets-beyond-kaggle-98aac51e971e) + + +## Bonus + + - Bonus points if you augment your data with data your obtain through WebScrapping + - Bonus points if you include visualizations from Python and/or Tableau in the final presentation + +## Deliverables + +1. **Python Code:** Provide well-documented Python code that conducts the analysis and SQL upload. +2. **SQL text file (.sql)** well commented document with all the queries answering the Business questions +3. **Short Presentation:** Structure the presentation in the following way: + - Intro Slides: introduce the problem and the datasets + - Data cleaning and assumptions + - Business questions and SQL query (1 slide per question with a print screen of the query and the answer is enough) +4. **PDF Document** with notes you might want to share + + diff --git a/Untitled.png b/Untitled.png new file mode 100644 index 0000000000000000000000000000000000000000..734ccca567fbf2fb75436952306024aaf390a2fb GIT binary patch literal 48293 zcmeFZc|29^-!?3ltEi+DDr0O)NP{Ud6k;1oX5o?yn>LxpZKr_{vQ3$#ZOS~)lp#^b z#x|3=ZJxGavw6<7bv^g*_ukKQKllAS@AJN&`}4W~%F43Vxz;+*@9{m3@9{kY?rA8| zA3cARii(OJuB@O%MRkZkMfHa}?P2ggGqxx7!9Rzbw3O~p<+ihd-*8dE6>e+0o6J`m z{Ls;hO)I+^DOdGQLFCcN=UQSf0%*=ha`9T;K9X7-5Q3#Ma7%vSr0b+o*p zvvwsXZ~oJL`rCa!jutAPVRAM~IsY97JH$*qq%U`dzU5tCzZ%o=x_q`JS9Dcf(VldI z*;-PAM>~By3UBDOFq4f+B%*8=(0!jieG2tuq2Z!BL@P%{ZLIXySFIQV#d#;D={&(Ts99V^Y%(A?PCD?=Y6f4}PGj zjG)3S;)MO|eqZpdi21>lxqhV5ymgNDx#oO~awo25*mHkCx8$Poy~6tpTeTka-ss@? z5UlMi+ zSmeuoA1lXR`>#j(udnpKo_M~s;p-jy-}Ynd*(r0>^Vui#`da^39l1l7D5p6$$BoGi 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za7YlW5(?1wBAz3Vb6xOh<3kGMBfv`TCqOYY$J$BZHdj2+i>`QSSOag}M+h#%SJN$! z3YhQ@Ej<3T-1f}FBA4!|e#wJG!P(tm)P-lLZNSRp!)ny8WPds!WsW&UeOLaKSPDz& z^R^hN;a^1rMu7AwWUBTC|Bc26kzj4fqNdM|5CKT{90387zSc?g-nj$HK9`^JDDd5G xr5(2Be*tMhj1m1s_}>Bq>;EqeZ1ledmmqJVgYkU9z literal 0 HcmV?d00001 diff --git a/WHO_database.sql b/WHO_database.sql new file mode 100644 index 0000000..72fe987 --- /dev/null +++ b/WHO_database.sql @@ -0,0 +1,32 @@ +CREATE DATABASE who_health_data; +USE who_health_data; + +CREATE TABLE Indicators ( + indicator_id VARCHAR(50) PRIMARY KEY, + indicator_name TEXT NOT NULL, + description TEXT, + source TEXT +); + +CREATE TABLE Data ( + data_id SERIAL PRIMARY KEY, + indicator_id VARCHAR(50), + year INT, + value FLOAT, + dimension_code VARCHAR(50), + FOREIGN KEY (indicator_id) REFERENCES Indicators(indicator_id) +); + +CREATE TABLE Dimensions ( + dimension_code VARCHAR(50) PRIMARY KEY, + dimension_name TEXT NOT NULL, + description TEXT +); + +CREATE TABLE Metadata ( + meta_id SERIAL PRIMARY KEY, + indicator_id VARCHAR(50), + metadata_key TEXT, + metadata_value TEXT, + FOREIGN KEY (indicator_id) REFERENCES Indicators(indicator_id) +); diff --git a/database_definitions.md b/database_definitions.md new file mode 100644 index 0000000..2f5da4b --- /dev/null +++ b/database_definitions.md @@ -0,0 +1,24 @@ +| **Attribute** | **Description** | +|----------------------------------|---------------------------------------------------------------------------------------------------| +| **Country** | The name of the country where the health data was recorded. | +| **Year** | The year in which the data was collected. | +| **Disease Name** | The name of the disease or health condition tracked. | +| **Disease Category** | The category of the disease (e.g., Infectious, Non-Communicable). | +| **Prevalence Rate (%)** | The percentage of the population affected by the disease. | +| **Incidence Rate (%)** | The percentage of new or newly diagnosed cases. | +| **Mortality Rate (%)** | The percentage of the affected population that dies from the disease. | +| **Age Group** | The age range most affected by the disease. | +| **Gender** | The gender(s) affected by the disease (Male, Female, Both). | +| **Population Affected** | The total number of individuals affected by the disease. | +| **Healthcare Access (%)** | The percentage of the population with access to healthcare. | +| **Doctors per 1000** | The number of doctors per 1000 people. | +| **Hospital Beds per 1000** | The number of hospital beds available per 1000 people. | +| **Treatment Type** | The primary treatment method for the disease (e.g., Medication, Surgery). | +| **Average Treatment Cost (USD)** | The average cost of treating the disease in USD. | +| **Availability of Vaccines/Treatment** | Whether vaccines or treatments are available. | +| **Recovery Rate (%)** | The percentage of people who recover from the disease. | +| **DALYs** | Disability-Adjusted Life Years, a measure of disease burden. | +| **Improvement in 5 Years (%)** | The improvement in disease outcomes over the last five years. | +| **Per Capita Income (USD)** | The average income per person in the country. | +| **Education Index** | The average level of education in the country. | +| **Urbanization Rate (%)** | The percentage of the population living in urban areas. | diff --git a/df_healtstatistics_sample.csv b/df_healtstatistics_sample.csv new file mode 100644 index 0000000..40e1cae --- /dev/null +++ b/df_healtstatistics_sample.csv @@ -0,0 +1,19992 @@ +id,Country,Year,DiseaseName,DiseaseCategory,PrevalenceRate,IncidenceRate,MortalityRate,AgeGroup,Gender,PopulationAffected,HealthcareAccess,DoctorsPer1000,HospitalBedsPer1000,TreatmentType,AverageTreatmentCost,AvailabilityOfVaccinesTreatment,RecoveryRate,DALYs,ImprovementIn5Years,PerCapitaIncome,EducationIndex,UrbanizationRate +3,Turkey,2015,COVID-19,Genetic,0.91,2.35,6.22,36-60,Male,154878,56.41,4.07,3.49,Vaccination,27834.0,Yes,98.55,41.0,5.81,12245.0,0.41,40.2 +11,Canada,2011,Leprosy,Cardiovascular,11.15,0.6,2.97,36-60,Female,76858,67.88,0.66,1.99,Surgery,19993.0,Yes,76.16,4238.0,1.23,44699.0,0.58,51.5 +23,South Africa,2014,Malaria,Bacterial,5.94,4.29,2.36,61+,Female,857183,61.32,4.56,6.88,Therapy,14578.0,Yes,72.97,433.0,1.4,52974.0,0.53,43.97 +38,Turkey,2006,Malaria,Cardiovascular,10.53,2.5,5.09,0-18,Male,923451,76.24,1.43,2.95,Vaccination,29311.0,Yes,93.53,110.0,6.45,51865.0,0.74,58.38 +43,Indonesia,2000,Rabies,Bacterial,1.22,13.78,3.9,0-18,Male,723071,56.9,3.04,3.53,Therapy,45214.0,Yes,97.84,4746.0,3.3,24147.0,0.73,79.39 +44,Turkey,2022,Measles,Chronic,6.97,2.22,6.35,36-60,Male,534508,91.15,0.62,5.87,Vaccination,24653.0,No,76.34,2649.0,3.99,17444.0,0.5,59.77 +46,Brazil,2003,Alzheimer's Disease,Neurological,12.5,13.27,9.34,19-35,Male,280906,89.39,3.91,5.6,Surgery,16622.0,Yes,87.39,326.0,1.16,32806.0,0.61,70.08 +48,UK,2003,Malaria,Chronic,1.08,0.18,3.54,61+,Male,596241,85.86,2.84,5.94,Medication,31291.0,No,53.7,3352.0,8.65,55241.0,0.59,85.04 +53,China,2022,Zika,Metabolic,17.12,4.84,7.71,36-60,Female,343352,98.3,0.87,7.39,Vaccination,43779.0,Yes,84.34,607.0,7.43,98415.0,0.55,37.01 +54,Argentina,2015,Cholera,Infectious,18.17,12.36,2.68,61+,Male,417401,78.88,2.77,8.01,Therapy,26058.0,No,81.03,1210.0,7.43,29542.0,0.63,46.32 +60,Russia,2023,Leprosy,Bacterial,16.22,8.43,9.61,61+,Other,422327,51.8,3.75,2.98,Therapy,27605.0,Yes,98.03,3145.0,4.23,13691.0,0.79,22.94 +63,Brazil,2013,Ebola,Metabolic,16.01,8.55,1.35,19-35,Male,384573,81.59,3.08,3.16,Medication,18972.0,No,70.43,3356.0,8.75,14196.0,0.81,63.55 +65,Nigeria,2010,Diabetes,Cardiovascular,18.17,6.2,2.12,19-35,Female,985553,88.65,3.82,5.76,Therapy,14348.0,No,88.66,1984.0,4.35,45639.0,0.51,73.39 +66,Russia,2008,Asthma,Metabolic,1.69,7.96,7.09,0-18,Other,879623,98.94,1.41,3.93,Surgery,12685.0,No,72.26,760.0,5.6,44330.0,0.58,77.15 +69,South Korea,2000,Alzheimer's Disease,Genetic,3.96,5.55,0.62,36-60,Male,815017,80.67,1.09,3.0,Therapy,42062.0,Yes,67.77,800.0,5.45,91647.0,0.45,31.22 +72,Argentina,2006,Measles,Infectious,3.95,4.0,8.84,0-18,Male,116183,77.08,4.75,6.01,Surgery,22983.0,No,64.73,3375.0,1.49,27909.0,0.76,79.55 +73,USA,2002,Hepatitis,Respiratory,7.13,6.96,4.02,61+,Other,251611,53.4,2.28,2.55,Therapy,45671.0,Yes,94.23,1869.0,1.21,84905.0,0.82,88.36 +76,Turkey,2003,HIV/AIDS,Metabolic,18.56,0.9,7.51,0-18,Female,751970,92.95,0.89,2.85,Vaccination,25402.0,No,78.8,3688.0,2.15,57913.0,0.64,41.13 +84,Germany,2008,Polio,Metabolic,15.02,0.38,7.85,19-35,Male,675112,95.64,2.01,9.62,Medication,37518.0,Yes,62.14,4181.0,5.4,66035.0,0.75,84.16 +86,France,2012,Polio,Genetic,17.97,14.95,0.51,61+,Male,472620,70.33,4.06,6.18,Vaccination,38948.0,No,58.35,2145.0,7.04,48508.0,0.89,42.88 +99,Brazil,2009,Rabies,Autoimmune,4.96,5.73,6.74,61+,Male,468156,80.73,4.03,9.4,Therapy,15324.0,No,90.18,3420.0,9.89,94506.0,0.48,68.94 +101,Brazil,2016,Leprosy,Autoimmune,1.22,11.06,9.54,61+,Female,78563,77.08,2.28,4.37,Medication,20016.0,No,86.81,2023.0,0.05,15506.0,0.41,36.11 +102,Russia,2021,Diabetes,Autoimmune,14.29,1.57,7.12,0-18,Female,920061,70.1,2.61,4.03,Vaccination,38676.0,No,87.97,2370.0,0.24,87314.0,0.75,39.47 +108,Japan,2013,Alzheimer's Disease,Metabolic,6.24,2.74,0.38,19-35,Female,574312,88.68,0.82,4.68,Vaccination,22952.0,Yes,51.68,2959.0,0.87,17778.0,0.8,34.27 +112,China,2013,Hepatitis,Metabolic,15.83,0.95,2.06,36-60,Male,696874,72.54,2.28,8.5,Surgery,44472.0,Yes,54.76,1410.0,9.36,33958.0,0.83,40.23 +116,South Korea,2007,Cholera,Genetic,5.13,6.29,2.12,61+,Other,641206,85.48,0.67,4.46,Surgery,4233.0,Yes,65.96,1354.0,3.11,27899.0,0.74,47.13 +121,Saudi Arabia,2007,Diabetes,Parasitic,5.5,14.36,9.2,19-35,Other,546335,71.61,3.51,8.95,Surgery,37978.0,No,54.99,3313.0,4.68,65831.0,0.71,38.02 +127,India,2000,Tuberculosis,Neurological,4.11,12.63,3.34,19-35,Other,487858,72.5,3.81,1.75,Therapy,36473.0,Yes,63.61,1006.0,4.71,96423.0,0.49,82.85 +132,Germany,2020,Polio,Viral,1.6,10.78,2.3,36-60,Other,583108,68.29,4.65,3.78,Therapy,31708.0,No,97.8,3740.0,7.11,85897.0,0.62,55.51 +135,Brazil,2000,Zika,Metabolic,14.48,5.42,3.49,61+,Female,391316,98.41,1.34,7.7,Therapy,1036.0,Yes,71.26,4789.0,5.72,54529.0,0.66,22.22 +136,Indonesia,2011,Measles,Genetic,0.7,7.19,5.33,36-60,Other,622322,73.18,3.13,7.37,Vaccination,15470.0,Yes,52.66,26.0,8.16,54588.0,0.49,41.92 +140,Australia,2019,Influenza,Cardiovascular,6.98,3.24,5.95,36-60,Other,530109,80.27,4.06,7.35,Surgery,37990.0,No,86.87,2150.0,0.29,53867.0,0.69,80.69 +148,Australia,2016,Hypertension,Autoimmune,8.63,1.82,8.79,61+,Male,119821,68.25,0.53,4.75,Medication,13684.0,No,82.17,3334.0,5.04,54058.0,0.48,49.33 +153,Brazil,2012,COVID-19,Bacterial,16.96,10.94,1.14,0-18,Female,649479,55.18,4.19,7.33,Surgery,4420.0,No,69.43,3022.0,9.01,39858.0,0.63,52.51 +158,Argentina,2014,Asthma,Neurological,12.73,8.53,3.42,0-18,Female,267470,55.57,1.27,3.96,Medication,39981.0,Yes,50.41,4447.0,4.42,78847.0,0.79,54.25 +159,China,2019,Alzheimer's Disease,Bacterial,12.37,1.92,8.57,61+,Male,674211,86.77,1.15,3.22,Vaccination,30285.0,No,58.38,521.0,0.4,12288.0,0.84,78.13 +160,Turkey,2007,Dengue,Autoimmune,8.83,9.3,3.08,61+,Male,327893,51.36,3.12,4.87,Medication,38755.0,No,58.18,4823.0,2.06,61524.0,0.9,52.11 +163,Australia,2003,Leprosy,Respiratory,12.86,9.48,2.11,36-60,Other,941410,72.74,1.99,1.96,Medication,13611.0,Yes,85.86,2390.0,4.79,73626.0,0.55,46.91 +166,Mexico,2002,Cholera,Neurological,15.48,2.37,1.28,19-35,Male,795152,84.52,1.66,4.09,Therapy,5227.0,Yes,78.25,3299.0,2.32,62623.0,0.51,76.02 +167,Russia,2005,HIV/AIDS,Bacterial,13.66,10.43,0.54,36-60,Male,150727,56.03,1.18,0.99,Surgery,10313.0,No,98.5,970.0,1.49,31288.0,0.78,47.86 +173,Germany,2009,HIV/AIDS,Respiratory,0.97,3.97,2.22,0-18,Female,881564,89.55,4.04,6.1,Surgery,46305.0,No,61.33,3311.0,5.89,23002.0,0.77,37.53 +174,UK,2022,Ebola,Infectious,13.47,1.67,7.39,0-18,Male,757339,62.94,1.86,2.72,Surgery,22504.0,Yes,93.31,1707.0,3.28,29661.0,0.44,65.25 +178,Saudi Arabia,2014,Asthma,Respiratory,12.52,8.0,3.27,19-35,Male,679341,53.21,2.86,9.82,Surgery,21986.0,Yes,59.25,4051.0,9.09,42231.0,0.9,55.44 +179,Indonesia,2017,Zika,Infectious,11.76,3.46,4.69,36-60,Female,927687,55.55,1.49,9.91,Surgery,25038.0,No,57.22,3544.0,3.75,53300.0,0.63,59.25 +188,India,2022,Cancer,Neurological,12.16,5.23,4.93,61+,Female,462287,83.75,0.74,6.91,Medication,32568.0,Yes,92.27,859.0,0.27,78009.0,0.75,31.35 +189,France,2011,Alzheimer's Disease,Infectious,1.38,1.53,9.42,19-35,Male,181315,71.72,2.7,8.55,Surgery,10746.0,No,74.96,145.0,8.71,95953.0,0.52,36.68 +190,China,2013,Parkinson's Disease,Genetic,18.11,9.69,7.56,61+,Other,245909,60.16,1.86,2.53,Vaccination,15331.0,No,64.27,4961.0,1.31,53838.0,0.89,55.44 +200,Canada,2019,Parkinson's Disease,Metabolic,7.67,11.75,9.43,19-35,Female,74107,63.52,4.78,5.83,Surgery,45020.0,No,81.39,1309.0,9.86,15781.0,0.9,40.58 +205,Japan,2019,Dengue,Autoimmune,19.73,9.45,3.46,0-18,Male,485580,70.88,1.88,4.25,Medication,46130.0,No,95.33,2429.0,3.24,43160.0,0.55,69.6 +211,USA,2001,Alzheimer's Disease,Chronic,15.92,0.31,0.2,36-60,Male,653764,95.67,3.57,2.95,Vaccination,48126.0,No,72.62,2622.0,6.4,11783.0,0.85,53.47 +219,France,2002,Influenza,Viral,8.39,10.3,7.0,36-60,Female,566300,55.09,2.72,1.36,Therapy,28493.0,No,95.1,3303.0,3.34,6911.0,0.69,21.25 +227,Mexico,2006,Influenza,Respiratory,8.87,9.33,2.73,36-60,Other,232757,83.33,4.64,4.05,Vaccination,45105.0,No,64.62,3520.0,1.46,65177.0,0.61,22.67 +228,Italy,2006,Polio,Metabolic,9.4,11.78,6.43,19-35,Female,39955,98.33,0.7,6.89,Medication,17911.0,Yes,68.46,2148.0,7.8,46301.0,0.55,61.11 +230,Russia,2005,Dengue,Viral,5.73,2.78,6.74,61+,Male,462925,93.04,4.39,7.76,Medication,34429.0,No,84.51,304.0,9.64,52338.0,0.62,41.79 +232,Japan,2002,Leprosy,Cardiovascular,15.39,12.12,4.78,0-18,Male,264016,86.42,3.74,4.81,Medication,14256.0,No,63.08,1059.0,1.18,63922.0,0.49,54.95 +241,Indonesia,2017,Parkinson's Disease,Bacterial,10.98,9.7,5.39,0-18,Other,361064,55.71,2.84,0.64,Vaccination,41744.0,Yes,51.69,4440.0,7.76,7192.0,0.76,60.87 +243,South Korea,2013,Cholera,Bacterial,17.24,13.0,6.09,0-18,Female,475133,89.55,3.45,3.02,Medication,24813.0,Yes,56.29,3904.0,9.77,60358.0,0.83,60.29 +244,Brazil,2008,Alzheimer's Disease,Autoimmune,6.46,13.76,2.27,36-60,Male,998568,92.71,4.47,6.06,Vaccination,38135.0,No,67.41,4249.0,0.47,16932.0,0.46,58.73 +253,Russia,2017,Measles,Bacterial,12.64,0.51,6.44,0-18,Female,394381,98.55,1.48,9.32,Surgery,44191.0,Yes,67.3,1832.0,1.85,34263.0,0.49,58.29 +266,Australia,2011,Cancer,Respiratory,19.43,13.49,5.76,19-35,Other,315669,64.04,3.1,6.1,Therapy,36173.0,No,85.17,2058.0,6.77,46509.0,0.85,86.16 +267,UK,2007,Hypertension,Genetic,3.42,4.23,8.49,0-18,Male,183719,70.07,2.18,8.3,Therapy,32051.0,Yes,66.06,4060.0,4.37,27358.0,0.86,54.33 +268,Japan,2003,Influenza,Parasitic,2.36,6.66,4.84,36-60,Other,332304,74.38,4.48,7.6,Surgery,9824.0,No,82.29,4840.0,1.11,77515.0,0.42,52.51 +273,India,2009,Asthma,Respiratory,11.09,0.61,0.19,61+,Male,443507,98.45,1.62,1.21,Medication,35639.0,Yes,74.77,3610.0,9.78,16646.0,0.8,28.3 +274,China,2007,Leprosy,Autoimmune,18.57,0.33,1.47,36-60,Male,367840,65.1,0.62,2.21,Therapy,37204.0,Yes,66.61,1540.0,5.32,82814.0,0.65,70.26 +278,Brazil,2022,HIV/AIDS,Chronic,11.8,1.9,1.45,36-60,Other,959393,55.91,4.21,9.55,Vaccination,39717.0,Yes,50.28,4973.0,3.61,50253.0,0.72,57.75 +280,Brazil,2001,Cancer,Parasitic,0.15,12.68,9.36,19-35,Male,358457,97.03,3.15,6.79,Therapy,28228.0,No,59.11,3346.0,0.07,41284.0,0.52,55.24 +286,Indonesia,2001,COVID-19,Bacterial,6.8,4.31,2.88,36-60,Other,581445,92.98,4.55,3.23,Medication,23536.0,Yes,81.97,261.0,2.62,3910.0,0.69,38.9 +295,India,2013,Leprosy,Viral,9.75,4.81,0.33,36-60,Female,366510,98.73,2.72,4.97,Surgery,33714.0,No,73.8,1034.0,5.63,76056.0,0.72,88.94 +299,Argentina,2005,Polio,Parasitic,14.08,1.03,1.78,19-35,Female,864131,93.24,2.24,0.94,Therapy,41524.0,No,92.16,332.0,2.96,92640.0,0.56,34.37 +302,Nigeria,2015,Hypertension,Viral,16.0,7.58,9.45,36-60,Male,943177,69.97,1.18,1.99,Vaccination,12713.0,Yes,73.64,465.0,2.67,27661.0,0.8,34.88 +303,India,2013,Parkinson's Disease,Cardiovascular,9.45,8.26,5.19,61+,Other,37439,91.4,0.62,5.61,Vaccination,35565.0,Yes,91.47,374.0,3.71,3399.0,0.41,49.09 +304,Australia,2016,Leprosy,Infectious,14.61,0.18,5.94,36-60,Other,280996,99.5,4.91,3.78,Therapy,46369.0,No,77.2,803.0,8.09,84027.0,0.72,72.99 +305,Australia,2000,Zika,Neurological,11.27,13.78,6.65,36-60,Female,428655,50.38,1.13,1.75,Vaccination,21342.0,Yes,72.4,4558.0,3.08,95615.0,0.48,39.12 +313,Brazil,2000,Cancer,Bacterial,16.02,8.57,0.7,61+,Other,945633,80.4,2.31,9.43,Medication,30880.0,No,89.9,4568.0,7.31,84361.0,0.53,44.34 +320,Japan,2014,Zika,Bacterial,14.12,3.45,6.5,36-60,Other,85481,53.04,4.09,7.5,Medication,31249.0,No,50.44,1462.0,4.09,82851.0,0.58,76.19 +328,Argentina,2014,Rabies,Metabolic,7.6,5.99,6.76,19-35,Female,491998,97.68,3.21,7.82,Medication,14263.0,Yes,65.32,151.0,5.68,3742.0,0.62,74.4 +332,Canada,2009,Cholera,Parasitic,0.74,1.45,7.24,19-35,Male,366915,92.27,3.03,9.32,Medication,21404.0,Yes,76.76,1537.0,6.29,91385.0,0.76,56.04 +345,Nigeria,2023,Measles,Respiratory,4.48,4.96,8.83,19-35,Female,221895,96.19,2.34,9.97,Surgery,47160.0,Yes,79.48,2969.0,9.69,6193.0,0.81,20.6 +348,USA,2002,Rabies,Respiratory,3.34,6.99,0.93,0-18,Other,126019,84.8,4.04,3.74,Surgery,44861.0,No,62.39,4361.0,6.87,4155.0,0.42,60.69 +350,Argentina,2010,Ebola,Genetic,12.8,4.04,6.93,19-35,Female,784061,58.15,1.33,0.55,Vaccination,15643.0,No,54.26,4077.0,6.15,25263.0,0.74,20.39 +353,Indonesia,2012,HIV/AIDS,Infectious,1.57,7.5,5.09,61+,Other,544349,74.04,3.45,7.03,Medication,12250.0,Yes,87.07,545.0,7.37,79615.0,0.88,69.74 +365,South Africa,2021,Cholera,Viral,17.83,9.44,9.88,19-35,Other,729380,66.77,3.19,1.22,Therapy,18138.0,No,53.29,4680.0,6.29,12438.0,0.42,29.54 +368,Japan,2013,HIV/AIDS,Neurological,7.54,14.43,7.38,61+,Male,337401,56.1,3.67,2.75,Surgery,38848.0,No,82.24,969.0,8.11,68043.0,0.49,61.48 +375,India,2020,Parkinson's Disease,Metabolic,17.87,8.07,1.21,36-60,Female,732806,63.4,1.7,3.26,Medication,7682.0,No,90.27,1719.0,8.49,787.0,0.45,30.66 +378,USA,2000,Leprosy,Cardiovascular,10.87,4.28,6.94,19-35,Male,359015,76.64,1.11,5.78,Therapy,34599.0,Yes,98.0,4437.0,7.1,13845.0,0.87,36.63 +402,Nigeria,2016,Zika,Parasitic,2.62,5.91,8.43,19-35,Female,316498,63.97,3.95,1.44,Vaccination,33807.0,No,55.24,3791.0,8.7,41519.0,0.77,79.91 +407,South Africa,2021,Leprosy,Infectious,18.71,7.93,1.33,19-35,Female,405161,52.04,3.05,9.31,Medication,1495.0,Yes,54.98,1975.0,7.25,24699.0,0.41,49.08 +412,India,2015,Measles,Bacterial,17.71,6.25,1.24,19-35,Male,448787,97.78,3.95,9.29,Surgery,24320.0,No,54.51,3035.0,6.22,61471.0,0.71,81.87 +414,Russia,2010,Hypertension,Parasitic,4.77,3.8,3.21,0-18,Male,105706,80.95,4.26,6.81,Vaccination,25651.0,Yes,84.66,988.0,7.0,95942.0,0.43,57.52 +420,Russia,2010,Zika,Neurological,1.52,9.91,2.04,19-35,Other,19849,73.78,2.92,0.69,Vaccination,21865.0,No,87.23,1157.0,3.84,41843.0,0.61,74.6 +434,Nigeria,2009,Polio,Metabolic,8.33,3.49,9.97,36-60,Other,70299,60.78,4.79,1.79,Therapy,21619.0,Yes,75.76,2261.0,8.91,52046.0,0.61,76.07 +438,South Africa,2023,Rabies,Respiratory,18.62,1.1,9.29,19-35,Male,769808,65.25,3.1,9.95,Therapy,16411.0,Yes,77.12,4109.0,4.92,88198.0,0.79,46.83 +443,Russia,2011,Parkinson's Disease,Autoimmune,16.68,6.88,2.22,0-18,Male,815348,50.8,3.75,5.0,Medication,35945.0,Yes,85.38,2948.0,7.0,2064.0,0.86,33.85 +444,Mexico,2020,Dengue,Neurological,10.12,14.95,5.99,61+,Female,130680,90.22,3.87,9.21,Therapy,18741.0,Yes,86.78,2525.0,0.04,88559.0,0.86,62.69 +445,Australia,2000,Rabies,Parasitic,14.84,2.45,5.33,0-18,Female,52043,50.78,4.96,3.69,Surgery,49160.0,Yes,74.28,273.0,9.66,4363.0,0.89,65.52 +446,Russia,2000,Ebola,Respiratory,12.34,6.68,7.49,36-60,Other,223321,97.55,4.05,4.01,Medication,2511.0,Yes,65.27,2293.0,9.53,25868.0,0.46,26.0 +451,Australia,2009,Parkinson's Disease,Genetic,12.86,11.08,2.08,19-35,Other,538726,98.74,1.92,2.84,Therapy,32714.0,Yes,52.79,1788.0,9.95,85051.0,0.78,66.16 +457,Turkey,2007,Dengue,Bacterial,5.09,4.7,2.73,36-60,Male,118790,97.21,2.0,9.15,Therapy,40496.0,No,86.1,2046.0,2.32,35964.0,0.44,58.35 +458,Italy,2015,Tuberculosis,Genetic,0.26,12.69,0.57,0-18,Male,564911,94.96,0.56,4.18,Therapy,21766.0,Yes,70.55,3140.0,1.89,56660.0,0.78,24.87 +465,Indonesia,2009,Diabetes,Metabolic,9.69,2.06,8.39,61+,Female,52110,85.86,4.63,1.84,Vaccination,21623.0,No,62.56,1893.0,6.24,62897.0,0.76,73.72 +466,Russia,2010,COVID-19,Parasitic,4.52,11.35,8.01,36-60,Other,403710,69.26,4.44,3.42,Vaccination,33718.0,No,90.91,4976.0,7.12,90148.0,0.86,67.77 +467,France,2024,Parkinson's Disease,Autoimmune,6.68,11.92,6.81,61+,Female,42803,69.1,4.93,0.61,Medication,10962.0,Yes,88.87,1355.0,4.52,76482.0,0.68,26.75 +473,South Africa,2014,Diabetes,Metabolic,7.81,1.73,6.37,0-18,Other,183214,63.05,0.67,8.12,Medication,11335.0,No,60.13,2168.0,7.79,22704.0,0.41,72.06 +474,Italy,2010,Hypertension,Infectious,6.08,10.0,5.51,0-18,Female,443392,87.93,1.09,4.59,Therapy,8833.0,Yes,77.59,4780.0,0.19,26487.0,0.74,57.01 +482,France,2000,Asthma,Genetic,19.62,5.45,5.12,36-60,Other,382629,83.01,2.6,2.66,Surgery,7132.0,No,56.67,3462.0,8.94,48107.0,0.64,75.34 +492,Brazil,2012,Diabetes,Neurological,7.99,1.47,2.56,19-35,Male,718125,92.62,1.52,4.29,Therapy,28827.0,No,71.31,855.0,4.59,42561.0,0.54,29.15 +496,Japan,2008,HIV/AIDS,Metabolic,13.83,3.71,0.19,36-60,Other,647000,65.08,3.79,5.6,Vaccination,11474.0,No,70.41,3538.0,8.53,58137.0,0.72,25.36 +498,India,2012,Measles,Autoimmune,4.11,7.85,7.35,0-18,Female,198773,55.59,3.25,6.83,Therapy,9339.0,Yes,70.95,3183.0,8.13,31222.0,0.81,71.37 +508,Japan,2005,Cancer,Respiratory,2.32,14.54,7.25,19-35,Male,533056,57.83,2.27,1.75,Therapy,5069.0,No,87.52,1982.0,5.89,11763.0,0.87,83.67 +511,France,2020,Dengue,Viral,16.02,1.29,5.72,61+,Male,593749,92.79,0.62,2.06,Therapy,7442.0,Yes,78.32,497.0,1.92,78839.0,0.87,72.75 +512,France,2020,Rabies,Autoimmune,16.01,3.82,8.82,0-18,Female,514095,54.77,3.58,9.37,Medication,44988.0,Yes,78.24,277.0,5.5,67938.0,0.77,37.47 +517,South Africa,2007,Cancer,Neurological,9.31,7.1,5.38,61+,Male,51730,73.36,4.47,8.09,Medication,23158.0,No,74.71,3732.0,9.04,93907.0,0.63,30.93 +523,Japan,2007,Leprosy,Viral,1.52,0.25,1.72,36-60,Male,567094,79.95,0.56,9.62,Medication,7829.0,Yes,73.59,2234.0,6.88,47649.0,0.67,75.11 +530,Brazil,2022,Zika,Respiratory,15.12,1.29,2.32,36-60,Male,731934,81.72,1.89,1.99,Surgery,21539.0,No,57.85,109.0,4.34,16181.0,0.66,64.95 +534,Argentina,2007,Parkinson's Disease,Infectious,13.8,3.95,7.11,36-60,Other,499771,84.27,3.06,7.36,Vaccination,23674.0,No,97.29,524.0,6.3,66070.0,0.8,39.83 +539,UK,2001,Tuberculosis,Parasitic,15.9,4.89,5.49,0-18,Other,897209,63.33,4.44,0.91,Medication,22437.0,Yes,65.65,1796.0,1.31,9334.0,0.46,89.49 +541,Italy,2014,Leprosy,Respiratory,9.95,7.52,2.9,36-60,Male,136925,88.35,0.71,4.91,Vaccination,45226.0,Yes,75.68,3295.0,6.75,76524.0,0.72,82.66 +554,Canada,2011,Ebola,Metabolic,14.6,0.19,7.13,36-60,Other,741161,84.63,1.04,6.77,Therapy,7978.0,No,52.88,2439.0,5.36,27408.0,0.71,79.29 +563,Turkey,2014,Measles,Respiratory,18.82,11.65,1.9,19-35,Other,133104,61.24,2.24,9.44,Vaccination,41838.0,No,50.47,3821.0,2.78,30598.0,0.52,86.49 +569,Canada,2008,Asthma,Infectious,18.44,8.52,7.76,0-18,Other,144702,50.24,3.36,6.46,Surgery,13128.0,No,80.39,4201.0,9.11,12559.0,0.59,84.99 +581,South Africa,2020,Ebola,Autoimmune,17.25,7.87,3.66,0-18,Other,148785,56.23,4.15,9.34,Surgery,7891.0,Yes,51.96,3147.0,4.05,14549.0,0.78,24.4 +587,South Africa,2022,Asthma,Bacterial,19.97,2.34,0.32,19-35,Other,542641,99.41,1.89,8.57,Medication,37764.0,No,63.48,896.0,5.77,4421.0,0.83,27.51 +588,Canada,2016,Cancer,Chronic,5.54,7.23,3.87,36-60,Male,677602,57.52,0.74,2.07,Medication,28139.0,Yes,83.67,362.0,8.06,42662.0,0.55,73.78 +595,Mexico,2022,Hypertension,Neurological,10.89,13.71,4.62,0-18,Female,192860,98.57,4.48,4.41,Vaccination,43861.0,No,53.43,2320.0,9.39,55886.0,0.61,33.4 +604,China,2005,Polio,Cardiovascular,14.82,6.72,4.64,0-18,Other,57799,52.96,4.37,1.9,Therapy,40429.0,No,60.29,1227.0,9.71,53091.0,0.88,40.62 +609,Turkey,2013,Cholera,Metabolic,14.94,7.76,4.11,36-60,Other,597321,75.54,0.64,2.61,Therapy,12347.0,Yes,78.42,3900.0,1.96,83096.0,0.73,48.96 +616,Argentina,2001,Ebola,Neurological,10.65,11.0,2.62,61+,Male,408148,58.68,2.38,1.71,Vaccination,6387.0,Yes,68.18,855.0,8.47,74843.0,0.55,84.59 +621,Japan,2011,Polio,Metabolic,6.31,8.75,6.67,0-18,Male,333244,68.92,2.35,1.42,Therapy,13098.0,No,67.48,3772.0,7.92,87077.0,0.47,77.46 +623,UK,2020,Rabies,Chronic,7.01,11.18,4.61,36-60,Other,116279,74.66,1.93,9.82,Surgery,7881.0,No,54.38,1906.0,9.04,72334.0,0.45,64.75 +632,Australia,2012,Ebola,Neurological,6.11,13.52,4.83,0-18,Other,674468,53.0,1.01,9.01,Surgery,21210.0,No,53.68,2859.0,4.2,81925.0,0.4,23.0 +634,Saudi Arabia,2014,Rabies,Neurological,7.06,1.04,3.75,61+,Male,509395,55.37,0.61,2.9,Therapy,39000.0,Yes,54.54,2745.0,7.75,31080.0,0.57,85.99 +641,Russia,2008,Diabetes,Respiratory,3.63,10.1,1.94,0-18,Male,333792,80.07,3.93,4.17,Medication,10305.0,No,59.27,1510.0,6.31,47842.0,0.52,43.76 +645,Turkey,2008,Alzheimer's Disease,Bacterial,3.99,2.79,0.55,19-35,Male,399339,81.58,3.4,4.45,Medication,34345.0,Yes,96.24,133.0,8.47,76521.0,0.72,45.01 +651,Argentina,2022,Zika,Bacterial,4.74,11.58,0.22,36-60,Female,607792,74.47,4.62,9.22,Surgery,32844.0,Yes,53.74,2133.0,3.26,5913.0,0.76,80.1 +659,Argentina,2011,Ebola,Bacterial,19.42,1.28,4.63,61+,Other,812951,77.91,4.26,0.52,Surgery,24514.0,No,97.27,3257.0,8.45,98681.0,0.44,79.1 +660,South Africa,2011,Measles,Neurological,19.41,13.13,2.53,0-18,Other,286167,69.14,2.93,8.58,Surgery,13061.0,No,60.44,4420.0,4.6,84911.0,0.52,56.95 +667,UK,2010,Alzheimer's Disease,Viral,8.25,12.58,3.71,19-35,Other,675496,74.48,1.56,3.02,Vaccination,22844.0,No,57.49,4385.0,2.23,95199.0,0.75,83.45 +678,Indonesia,2013,Cholera,Neurological,8.56,8.17,4.0,61+,Female,718269,80.55,4.49,6.59,Medication,19963.0,No,94.26,543.0,1.92,95041.0,0.86,80.8 +681,Russia,2013,HIV/AIDS,Autoimmune,4.33,7.71,7.05,61+,Other,311127,96.16,1.58,9.7,Medication,9837.0,Yes,69.41,4144.0,3.07,48487.0,0.72,73.17 +694,India,2005,Cancer,Infectious,18.86,2.25,4.38,36-60,Female,823359,58.02,3.18,5.53,Surgery,15174.0,No,59.73,4503.0,0.78,36443.0,0.49,29.2 +702,India,2011,Asthma,Respiratory,10.99,10.6,6.78,19-35,Female,48182,72.84,3.92,8.43,Surgery,30635.0,Yes,53.72,3568.0,7.51,58653.0,0.67,42.11 +718,Indonesia,2006,Hepatitis,Metabolic,6.2,2.4,6.86,19-35,Female,668292,54.44,3.53,4.79,Vaccination,43496.0,Yes,93.83,1564.0,6.67,59928.0,0.49,62.02 +720,South Africa,2015,Parkinson's Disease,Chronic,7.55,13.75,0.54,0-18,Female,331895,65.74,0.73,3.1,Therapy,38554.0,No,91.37,79.0,3.87,18025.0,0.87,40.48 +722,Australia,2018,Polio,Parasitic,6.12,11.3,7.3,36-60,Female,210995,69.41,1.63,7.78,Vaccination,18416.0,No,84.49,4222.0,7.85,84688.0,0.44,55.67 +728,South Africa,2003,Influenza,Viral,11.67,1.25,8.99,19-35,Male,15723,95.01,0.68,3.69,Medication,41617.0,No,60.0,4032.0,9.97,32909.0,0.76,58.38 +730,Indonesia,2012,COVID-19,Neurological,12.01,10.21,9.43,0-18,Other,834248,96.83,2.27,3.5,Therapy,34289.0,No,72.95,2210.0,8.96,926.0,0.75,67.75 +736,Saudi Arabia,2010,Diabetes,Genetic,19.47,14.21,5.53,36-60,Male,901255,70.93,4.8,8.91,Therapy,38904.0,No,82.36,3554.0,9.26,82821.0,0.7,65.47 +738,Brazil,2002,Rabies,Neurological,19.75,10.87,4.9,19-35,Female,824432,84.07,3.6,7.22,Vaccination,6190.0,No,69.14,3711.0,3.31,13062.0,0.83,77.16 +741,UK,2012,Hepatitis,Bacterial,6.3,12.23,8.42,19-35,Female,733285,81.65,4.49,3.79,Surgery,1029.0,No,77.71,753.0,6.87,96115.0,0.72,78.05 +748,Indonesia,2005,Zika,Neurological,4.31,11.47,2.45,0-18,Female,124615,54.63,0.9,4.35,Therapy,14553.0,No,59.93,850.0,9.31,21119.0,0.46,25.47 +749,India,2013,COVID-19,Autoimmune,16.6,11.5,4.44,36-60,Other,498954,69.93,2.79,4.89,Vaccination,21654.0,Yes,89.74,3242.0,6.61,50363.0,0.68,76.19 +750,Germany,2019,COVID-19,Chronic,4.17,5.31,6.46,36-60,Other,855790,88.37,2.33,9.24,Therapy,24630.0,No,80.8,713.0,6.72,16047.0,0.5,39.95 +755,Brazil,2001,Cholera,Metabolic,3.52,13.88,1.8,61+,Other,546170,57.17,3.08,9.7,Therapy,1792.0,Yes,78.22,1615.0,5.23,95190.0,0.81,65.42 +764,South Korea,2000,Dengue,Metabolic,4.73,14.28,7.64,36-60,Male,492393,97.59,3.88,2.58,Medication,47922.0,No,95.28,2128.0,6.03,78185.0,0.62,87.51 +765,Canada,2022,COVID-19,Neurological,16.8,5.43,5.38,0-18,Female,521105,76.08,4.54,4.94,Vaccination,7805.0,Yes,67.53,2956.0,2.4,2421.0,0.49,44.3 +768,USA,2020,Polio,Parasitic,18.4,0.35,9.74,61+,Male,206560,75.96,2.25,6.4,Vaccination,47340.0,No,74.75,1897.0,0.82,58788.0,0.5,50.89 +769,Nigeria,2024,Cancer,Viral,16.21,2.77,2.93,36-60,Female,867980,57.94,2.65,9.33,Vaccination,14395.0,No,63.28,2797.0,7.61,99905.0,0.78,81.05 +773,Turkey,2004,Parkinson's Disease,Infectious,5.53,7.08,1.71,0-18,Male,224423,88.59,1.97,7.86,Surgery,4875.0,Yes,91.81,4289.0,5.93,86834.0,0.82,21.72 +779,Australia,2010,Zika,Bacterial,15.22,4.81,1.37,61+,Female,451151,88.87,2.4,3.04,Medication,11537.0,Yes,86.65,2718.0,0.51,82373.0,0.7,74.92 +793,Mexico,2016,Hepatitis,Respiratory,5.19,13.83,5.67,36-60,Male,301969,53.03,3.0,2.01,Surgery,39372.0,Yes,77.88,973.0,3.67,96168.0,0.72,75.37 +801,Russia,2009,Dengue,Genetic,3.82,5.91,6.13,36-60,Female,991599,93.08,0.62,8.2,Therapy,21106.0,No,56.65,1023.0,9.05,97493.0,0.63,76.31 +804,Germany,2007,Tuberculosis,Infectious,18.68,4.82,2.46,19-35,Male,882446,87.79,2.19,7.8,Therapy,19849.0,No,54.24,3762.0,2.3,40785.0,0.76,47.34 +811,South Africa,2001,Diabetes,Chronic,14.3,13.71,2.03,19-35,Male,699578,69.12,1.8,1.77,Therapy,1601.0,No,78.96,2571.0,5.27,90761.0,0.78,59.06 +817,USA,2020,Cholera,Metabolic,1.79,6.89,6.44,19-35,Female,804321,75.87,2.88,4.41,Vaccination,49936.0,No,55.23,4819.0,9.8,35748.0,0.83,38.94 +821,South Korea,2003,Rabies,Infectious,13.55,2.97,7.24,0-18,Female,511324,91.57,1.59,2.02,Surgery,41910.0,Yes,93.6,1838.0,4.42,28572.0,0.68,65.96 +825,Saudi Arabia,2018,Parkinson's Disease,Respiratory,19.61,0.72,2.37,0-18,Male,809469,98.63,0.97,9.0,Therapy,15422.0,No,79.1,2240.0,1.4,31263.0,0.66,86.95 +826,India,2005,Parkinson's Disease,Viral,11.67,1.93,3.11,61+,Other,996897,66.03,4.71,3.73,Therapy,23340.0,No,68.61,1329.0,4.84,55850.0,0.47,20.32 +829,Canada,2018,Malaria,Chronic,16.42,3.41,7.48,36-60,Female,955473,53.11,0.75,8.38,Therapy,37492.0,No,51.76,863.0,4.72,97769.0,0.79,41.66 +831,Nigeria,2013,HIV/AIDS,Neurological,19.32,13.5,0.95,61+,Female,920304,56.47,2.53,9.25,Surgery,22921.0,Yes,57.05,4551.0,6.95,95227.0,0.69,88.93 +842,Russia,2005,Ebola,Genetic,12.47,9.57,0.95,36-60,Male,8950,95.35,3.79,6.12,Medication,32936.0,Yes,77.42,518.0,4.82,91783.0,0.68,34.14 +844,South Africa,2021,Parkinson's Disease,Genetic,3.02,2.83,5.52,0-18,Male,541943,69.57,1.78,4.39,Therapy,11794.0,Yes,82.42,4468.0,2.26,82604.0,0.7,55.97 +846,Brazil,2004,Polio,Parasitic,16.53,14.5,8.91,19-35,Other,861609,88.6,0.51,8.9,Medication,15826.0,Yes,98.38,2680.0,5.48,3938.0,0.53,47.3 +847,Turkey,2006,COVID-19,Cardiovascular,19.79,7.23,9.08,36-60,Female,470008,94.92,4.96,6.8,Surgery,43965.0,Yes,85.53,2845.0,1.09,36478.0,0.89,41.14 +858,UK,2015,Dengue,Bacterial,7.42,10.64,6.19,61+,Other,642560,50.51,4.24,4.56,Therapy,36131.0,Yes,61.01,4846.0,4.8,53927.0,0.52,25.49 +859,UK,2000,Zika,Neurological,10.98,1.33,5.07,36-60,Other,320551,54.32,0.56,5.47,Medication,8589.0,No,68.98,4360.0,2.1,98356.0,0.66,39.71 +868,Germany,2021,HIV/AIDS,Parasitic,1.08,8.36,6.87,61+,Other,555142,85.3,1.9,8.01,Therapy,28326.0,No,89.12,3401.0,0.18,51588.0,0.87,75.51 +869,Canada,2007,Diabetes,Neurological,19.43,12.51,6.25,36-60,Male,170799,85.9,4.92,3.34,Surgery,23036.0,Yes,76.33,113.0,2.15,45132.0,0.79,84.37 +875,Japan,2022,Alzheimer's Disease,Cardiovascular,17.17,6.87,3.9,19-35,Male,826557,65.22,0.8,4.68,Vaccination,46984.0,Yes,57.52,4006.0,6.33,33944.0,0.85,40.1 +881,Australia,2003,Ebola,Bacterial,1.96,9.44,4.63,19-35,Female,709402,74.43,2.33,7.4,Vaccination,43102.0,No,87.56,3132.0,4.21,81196.0,0.66,21.82 +887,Mexico,2014,Cancer,Metabolic,16.87,6.57,8.16,19-35,Other,59421,92.85,3.75,3.33,Medication,40432.0,Yes,59.24,22.0,7.19,88929.0,0.75,33.42 +888,Australia,2015,HIV/AIDS,Infectious,3.46,5.98,7.23,19-35,Other,958022,66.13,2.35,2.26,Medication,32105.0,Yes,64.68,1024.0,2.99,45906.0,0.66,22.29 +892,Canada,2004,Zika,Chronic,8.5,13.84,4.81,0-18,Female,933501,80.65,2.12,9.21,Therapy,30755.0,Yes,86.67,4558.0,3.69,88317.0,0.82,63.4 +901,Mexico,2012,Leprosy,Respiratory,10.43,6.54,7.51,0-18,Other,660978,52.33,1.16,6.09,Medication,27828.0,No,95.3,4792.0,8.89,66525.0,0.56,30.04 +902,USA,2023,Polio,Infectious,10.51,6.11,4.55,61+,Female,670291,81.84,4.62,2.27,Vaccination,2143.0,Yes,75.99,2624.0,3.24,78524.0,0.42,36.5 +907,Nigeria,2022,HIV/AIDS,Neurological,7.91,9.36,7.1,36-60,Male,735231,95.92,4.88,1.47,Therapy,17082.0,No,59.1,4089.0,4.05,70375.0,0.45,28.78 +909,Nigeria,2022,Polio,Genetic,3.1,6.03,1.57,19-35,Other,485287,63.98,0.92,1.45,Vaccination,8073.0,Yes,88.13,4676.0,1.54,38153.0,0.72,79.87 +910,China,2023,Parkinson's Disease,Metabolic,1.63,11.94,9.35,0-18,Female,820933,70.51,4.92,3.36,Surgery,43703.0,Yes,60.97,779.0,6.29,64087.0,0.76,21.24 +919,Brazil,2016,Cancer,Chronic,15.92,12.8,4.39,0-18,Other,532124,72.16,4.87,9.51,Medication,25310.0,No,66.56,4789.0,0.34,34235.0,0.44,89.97 +920,Argentina,2019,Polio,Chronic,6.78,2.86,1.98,0-18,Other,407762,57.43,2.79,8.17,Medication,16508.0,No,64.51,2926.0,8.08,22392.0,0.8,34.67 +924,Russia,2018,Hypertension,Respiratory,0.21,3.51,5.3,36-60,Female,923561,53.62,3.7,5.3,Therapy,19439.0,No,77.38,2007.0,6.78,61038.0,0.5,71.89 +925,Nigeria,2022,Rabies,Autoimmune,16.84,14.01,9.32,19-35,Male,355034,98.87,4.54,5.46,Therapy,40931.0,Yes,87.21,874.0,8.64,35206.0,0.52,26.88 +927,Argentina,2013,Diabetes,Parasitic,18.99,11.28,1.3,19-35,Female,211440,52.36,4.74,3.08,Surgery,14725.0,No,81.76,2101.0,5.57,77834.0,0.52,31.62 +928,Russia,2024,Influenza,Autoimmune,5.14,2.44,6.54,61+,Other,847872,87.65,3.36,9.65,Vaccination,40348.0,No,87.0,2814.0,9.8,86514.0,0.63,77.53 +930,Turkey,2002,Leprosy,Chronic,12.39,11.03,6.79,36-60,Other,692357,70.56,4.74,6.7,Vaccination,2043.0,Yes,57.79,2544.0,3.43,79056.0,0.67,33.63 +931,Turkey,2022,Hypertension,Parasitic,7.82,0.38,4.99,61+,Other,464661,98.18,3.13,7.7,Surgery,25003.0,Yes,50.65,963.0,3.15,42456.0,0.65,58.32 +933,China,2013,Rabies,Autoimmune,14.81,14.94,6.28,0-18,Male,610333,70.82,0.7,2.18,Vaccination,2766.0,No,54.34,437.0,3.15,8419.0,0.58,84.7 +935,Japan,2011,HIV/AIDS,Genetic,0.67,14.63,2.55,36-60,Male,133769,82.3,4.98,1.04,Surgery,35639.0,No,96.41,1673.0,5.83,56252.0,0.82,65.73 +939,Turkey,2013,Diabetes,Autoimmune,1.09,10.39,8.03,19-35,Female,805859,52.41,1.11,8.81,Vaccination,35711.0,No,89.4,493.0,3.1,55824.0,0.42,31.91 +940,South Korea,2019,Dengue,Parasitic,18.07,2.72,6.92,61+,Female,75697,84.79,4.94,1.81,Surgery,40484.0,Yes,75.33,2965.0,9.96,37158.0,0.71,60.78 +946,Saudi Arabia,2015,Parkinson's Disease,Neurological,14.99,8.18,4.48,0-18,Male,109045,85.74,2.89,5.31,Medication,41696.0,Yes,80.93,2969.0,1.42,46209.0,0.54,36.1 +947,Brazil,2019,Influenza,Autoimmune,1.71,2.55,8.21,36-60,Other,556011,99.56,0.54,5.44,Therapy,44782.0,No,79.39,997.0,1.51,83358.0,0.87,41.08 +957,Canada,2009,Ebola,Parasitic,2.55,6.08,7.14,19-35,Other,6835,61.58,4.47,5.32,Medication,44808.0,No,51.23,1267.0,9.97,33833.0,0.89,35.16 +959,South Korea,2002,Hypertension,Bacterial,7.84,5.73,7.7,19-35,Female,530707,84.97,1.72,1.23,Vaccination,13363.0,Yes,86.71,408.0,4.07,38710.0,0.75,77.85 +973,Turkey,2004,Dengue,Genetic,10.78,10.07,3.49,19-35,Male,117012,73.04,0.62,4.24,Medication,23066.0,No,94.31,3949.0,6.7,32631.0,0.47,79.18 +989,South Africa,2003,Ebola,Bacterial,8.8,9.41,6.35,36-60,Female,273923,94.43,1.07,9.31,Vaccination,24079.0,No,56.81,2126.0,4.41,41826.0,0.67,47.74 +990,Saudi Arabia,2012,Diabetes,Chronic,10.31,10.69,8.31,0-18,Female,606557,83.79,4.59,2.46,Surgery,44372.0,No,79.3,742.0,1.45,25781.0,0.62,44.29 +1003,Nigeria,2004,Rabies,Respiratory,13.16,6.01,7.77,61+,Male,383271,93.48,2.66,3.08,Medication,6338.0,No,76.15,4708.0,7.05,7961.0,0.47,49.38 +1004,Germany,2012,Tuberculosis,Respiratory,18.95,0.85,8.63,19-35,Male,67587,99.31,1.31,5.62,Therapy,48964.0,No,73.41,603.0,3.05,3401.0,0.71,52.18 +1008,USA,2001,Parkinson's Disease,Bacterial,9.66,14.45,0.3,61+,Male,773372,53.06,1.89,6.71,Therapy,27665.0,Yes,75.4,1491.0,5.0,69059.0,0.47,21.78 +1010,Australia,2013,HIV/AIDS,Neurological,3.69,1.08,3.15,36-60,Other,738159,60.16,1.07,0.81,Therapy,35815.0,No,51.47,2426.0,2.55,8540.0,0.88,77.39 +1013,Saudi Arabia,2009,Malaria,Infectious,4.56,7.43,7.02,0-18,Female,285520,84.81,2.95,7.21,Vaccination,24082.0,Yes,98.2,704.0,4.91,41546.0,0.77,22.81 +1016,Turkey,2011,Hepatitis,Neurological,8.75,4.13,1.79,0-18,Male,145824,95.29,2.7,8.0,Therapy,30365.0,No,59.23,1233.0,3.34,74656.0,0.81,31.96 +1017,Argentina,2008,Leprosy,Viral,19.09,8.74,9.44,61+,Male,458677,86.25,3.17,3.29,Surgery,48877.0,No,52.82,4444.0,4.49,91298.0,0.61,52.81 +1020,Italy,2020,Diabetes,Genetic,19.03,8.17,7.32,36-60,Male,871072,50.9,4.31,9.99,Vaccination,19154.0,Yes,83.76,1018.0,1.24,5687.0,0.76,57.99 +1023,Australia,2003,Hypertension,Cardiovascular,3.05,8.83,3.08,0-18,Other,414018,67.68,4.82,6.65,Therapy,11208.0,No,75.44,4168.0,4.58,2298.0,0.53,88.58 +1040,USA,2012,Cholera,Parasitic,3.23,4.05,2.94,61+,Female,10536,89.72,0.93,2.05,Surgery,39727.0,No,96.18,4321.0,6.74,81225.0,0.51,23.85 +1045,South Korea,2005,Cholera,Metabolic,1.9,7.47,9.19,61+,Other,13484,85.9,3.95,4.56,Surgery,14311.0,No,90.42,4576.0,8.65,76220.0,0.58,45.99 +1047,USA,2001,Asthma,Bacterial,9.25,0.53,6.49,36-60,Female,804800,89.81,3.46,8.85,Vaccination,35213.0,Yes,60.19,3464.0,8.4,83287.0,0.45,20.68 +1049,Italy,2012,Malaria,Parasitic,5.94,7.3,8.11,36-60,Other,670563,69.73,0.95,8.19,Vaccination,49699.0,Yes,51.12,14.0,2.01,13221.0,0.64,41.49 +1056,China,2006,COVID-19,Cardiovascular,8.61,3.33,10.0,0-18,Male,94778,62.41,3.13,6.47,Vaccination,2602.0,Yes,69.44,4700.0,0.39,47921.0,0.68,27.63 +1057,Russia,2001,Tuberculosis,Cardiovascular,12.88,7.96,9.95,36-60,Female,781428,83.95,4.26,2.23,Medication,34670.0,No,50.65,1067.0,4.62,98646.0,0.89,36.3 +1065,UK,2021,Ebola,Cardiovascular,15.1,3.94,6.67,61+,Male,184467,60.35,2.6,5.53,Surgery,41931.0,Yes,73.89,2450.0,7.25,85096.0,0.59,68.28 +1067,Argentina,2008,Cholera,Autoimmune,11.46,6.98,3.4,0-18,Other,130653,83.75,3.42,3.88,Vaccination,753.0,No,71.34,1770.0,7.65,99996.0,0.48,62.67 +1083,UK,2011,Parkinson's Disease,Chronic,1.62,14.4,5.66,19-35,Female,118633,92.55,4.3,5.67,Vaccination,13822.0,No,96.74,254.0,8.59,30838.0,0.51,70.26 +1089,Saudi Arabia,2012,Diabetes,Autoimmune,5.46,14.25,9.91,61+,Male,572474,86.12,3.5,4.7,Surgery,15006.0,Yes,87.76,2670.0,8.61,36013.0,0.5,30.72 +1096,Argentina,2010,Tuberculosis,Neurological,12.35,13.69,3.41,36-60,Female,358533,71.6,1.52,5.72,Vaccination,43071.0,No,52.11,158.0,7.65,72575.0,0.84,27.95 +1097,South Africa,2007,Hypertension,Genetic,5.18,14.95,1.19,36-60,Male,567221,98.26,3.63,7.94,Vaccination,10047.0,Yes,75.64,2434.0,1.31,61059.0,0.45,22.56 +1099,Mexico,2009,Leprosy,Bacterial,12.35,10.87,9.46,19-35,Female,510864,90.36,1.88,6.48,Vaccination,25681.0,Yes,94.41,3007.0,0.12,57155.0,0.68,42.62 +1103,Turkey,2010,Parkinson's Disease,Metabolic,11.35,14.26,1.61,61+,Male,823235,98.72,1.12,8.5,Surgery,18432.0,No,70.13,2450.0,1.59,24071.0,0.57,56.18 +1106,Japan,2005,Hypertension,Parasitic,8.85,11.02,1.9,36-60,Female,242595,79.66,2.82,6.5,Surgery,42425.0,Yes,55.75,4868.0,5.24,91270.0,0.63,58.77 +1109,Russia,2015,Rabies,Neurological,16.84,2.84,2.76,36-60,Male,406332,52.37,4.82,2.87,Surgery,12212.0,Yes,67.93,986.0,5.75,19554.0,0.55,70.98 +1115,USA,2005,Malaria,Genetic,15.64,13.95,6.13,19-35,Male,135240,72.56,4.74,1.35,Vaccination,16320.0,No,98.56,709.0,2.71,89780.0,0.86,79.71 +1117,India,2003,Influenza,Infectious,6.88,6.9,5.85,36-60,Female,106071,97.77,4.69,7.7,Vaccination,10800.0,Yes,78.2,4159.0,0.92,14314.0,0.76,60.99 +1119,Turkey,2017,Cholera,Autoimmune,1.19,8.57,6.37,0-18,Other,665277,99.29,3.46,5.73,Medication,16670.0,Yes,85.49,3454.0,1.26,86092.0,0.64,71.22 +1120,Nigeria,2002,Cholera,Bacterial,5.19,13.82,1.84,36-60,Male,701741,84.73,3.79,1.1,Medication,1266.0,Yes,55.31,3079.0,1.44,85043.0,0.81,74.35 +1121,Saudi Arabia,2010,Cancer,Chronic,3.05,3.04,5.86,36-60,Male,897196,54.51,1.43,3.78,Vaccination,17891.0,Yes,74.2,3344.0,1.81,84057.0,0.43,80.36 +1122,Japan,2006,Cholera,Genetic,3.71,2.66,7.09,36-60,Other,133799,59.39,3.51,7.27,Vaccination,38153.0,Yes,85.97,1140.0,8.98,84324.0,0.5,56.16 +1123,Japan,2009,Dengue,Parasitic,7.95,7.34,2.25,0-18,Other,418596,94.46,2.69,3.55,Medication,44489.0,Yes,60.99,770.0,2.88,63080.0,0.63,30.53 +1126,Germany,2024,Diabetes,Metabolic,9.58,8.0,4.89,61+,Female,331329,96.96,3.9,1.87,Therapy,44694.0,No,98.71,1879.0,8.24,24340.0,0.57,39.58 +1134,Japan,2011,Cancer,Metabolic,4.63,2.94,3.12,19-35,Male,140864,76.73,2.88,4.16,Medication,3120.0,No,92.48,1472.0,8.55,31593.0,0.59,89.57 +1145,Indonesia,2012,Polio,Genetic,19.22,13.96,8.05,36-60,Female,877164,63.31,4.37,5.32,Vaccination,11716.0,Yes,58.73,4988.0,6.76,78654.0,0.68,79.06 +1150,Saudi Arabia,2017,COVID-19,Viral,2.05,13.53,7.53,36-60,Male,428054,78.77,0.74,5.06,Vaccination,23913.0,No,82.29,2498.0,3.24,9389.0,0.84,69.78 +1154,China,2011,Polio,Respiratory,0.96,3.66,7.47,36-60,Other,939979,89.41,1.81,1.0,Therapy,39122.0,No,95.1,911.0,8.74,18456.0,0.87,40.92 +1158,Australia,2004,Dengue,Bacterial,19.42,2.5,4.22,19-35,Female,97817,80.02,2.31,8.77,Vaccination,26502.0,Yes,73.01,3597.0,6.35,5541.0,0.86,62.82 +1166,Brazil,2011,Zika,Neurological,17.98,3.26,4.05,36-60,Other,96588,60.96,4.87,8.04,Vaccination,9974.0,No,53.7,2429.0,0.3,98041.0,0.68,39.4 +1174,Turkey,2018,Hypertension,Metabolic,4.6,3.81,4.61,36-60,Male,656400,84.81,2.63,3.55,Therapy,979.0,Yes,86.93,1310.0,7.93,71614.0,0.69,60.19 +1175,Argentina,2021,Alzheimer's Disease,Cardiovascular,10.32,1.07,8.94,19-35,Male,737343,88.6,1.8,3.89,Therapy,19206.0,Yes,76.53,4368.0,3.03,45516.0,0.75,89.61 +1181,Saudi Arabia,2019,COVID-19,Infectious,10.91,12.85,9.86,0-18,Other,263204,92.24,2.84,4.21,Medication,27322.0,No,58.6,2712.0,1.2,23536.0,0.6,39.18 +1185,Brazil,2000,Rabies,Autoimmune,12.95,12.14,1.13,36-60,Other,897464,54.32,0.82,8.05,Surgery,3973.0,No,69.07,2510.0,1.76,82860.0,0.41,70.02 +1203,Saudi Arabia,2014,Leprosy,Bacterial,19.09,14.88,1.59,36-60,Other,232975,53.3,2.38,2.81,Therapy,41508.0,Yes,53.52,48.0,4.04,71935.0,0.84,39.88 +1211,Japan,2023,Parkinson's Disease,Bacterial,12.96,7.39,0.24,0-18,Male,634961,96.36,1.85,7.81,Therapy,33689.0,Yes,74.09,1137.0,8.58,10682.0,0.53,63.98 +1212,Australia,2002,Leprosy,Viral,13.3,3.87,9.14,0-18,Male,631270,55.91,2.06,8.5,Vaccination,22732.0,No,91.62,2354.0,2.49,84757.0,0.52,83.19 +1213,South Africa,2005,Rabies,Respiratory,2.64,12.97,2.12,61+,Male,643442,71.91,2.51,6.52,Therapy,17551.0,No,68.35,1652.0,4.65,56950.0,0.58,30.59 +1220,Mexico,2010,Rabies,Bacterial,7.15,5.24,4.5,61+,Male,368616,96.53,1.85,1.05,Vaccination,34260.0,No,76.22,3728.0,9.74,5231.0,0.73,46.7 +1223,China,2001,Leprosy,Infectious,19.05,4.71,4.77,61+,Male,92424,73.75,2.99,1.57,Surgery,21467.0,No,96.0,4906.0,2.04,31249.0,0.78,74.82 +1224,Indonesia,2018,Hypertension,Metabolic,15.08,0.48,5.59,19-35,Female,462346,72.16,1.68,9.19,Vaccination,17856.0,Yes,53.58,1970.0,7.89,53963.0,0.45,84.8 +1227,South Korea,2001,Diabetes,Respiratory,16.45,10.16,4.95,61+,Other,70532,51.69,4.53,1.96,Medication,23280.0,No,86.86,2760.0,1.3,96274.0,0.65,83.47 +1235,South Africa,2007,Asthma,Autoimmune,10.82,13.59,2.95,19-35,Other,910614,88.63,1.8,5.36,Medication,34382.0,No,63.33,4816.0,8.47,64395.0,0.74,55.42 +1238,France,2017,COVID-19,Cardiovascular,0.34,1.99,9.8,36-60,Female,310643,72.04,0.98,3.28,Therapy,4577.0,Yes,97.8,4780.0,8.29,10433.0,0.54,66.23 +1241,Italy,2010,COVID-19,Neurological,2.04,1.5,9.3,61+,Other,913913,94.13,4.97,1.65,Surgery,10181.0,No,92.2,4869.0,2.42,10123.0,0.5,24.17 +1248,Turkey,2004,Malaria,Bacterial,15.95,2.02,0.19,19-35,Male,326191,77.92,0.77,7.84,Medication,29990.0,Yes,54.86,2090.0,1.99,43946.0,0.81,66.76 +1252,Mexico,2014,Cancer,Respiratory,0.19,7.99,4.42,19-35,Female,652659,97.42,0.9,4.83,Therapy,42879.0,Yes,60.68,4299.0,2.91,97276.0,0.81,34.25 +1256,UK,2017,Measles,Chronic,19.18,9.86,9.87,0-18,Other,288565,61.25,4.03,2.98,Surgery,28059.0,Yes,76.72,434.0,5.34,29265.0,0.74,30.26 +1258,Germany,2014,Asthma,Viral,7.55,7.46,4.52,19-35,Other,575784,65.26,1.99,2.55,Surgery,36028.0,Yes,52.04,3252.0,8.15,47790.0,0.84,68.14 +1259,Italy,2023,Cholera,Bacterial,5.02,0.72,5.49,19-35,Female,185426,60.12,2.65,1.28,Medication,33596.0,No,50.86,4168.0,5.97,47193.0,0.77,74.68 +1269,India,2020,Polio,Parasitic,16.97,11.7,7.56,61+,Male,832414,84.48,1.25,2.31,Medication,24725.0,No,54.68,677.0,1.18,59980.0,0.84,72.86 +1275,Saudi Arabia,2002,Alzheimer's Disease,Chronic,7.86,4.58,2.88,19-35,Male,950633,58.15,1.36,4.94,Vaccination,42592.0,Yes,68.11,3434.0,1.59,91376.0,0.4,39.46 +1280,Russia,2017,Diabetes,Metabolic,17.82,8.2,1.28,61+,Female,451620,60.01,1.68,5.04,Vaccination,8137.0,No,51.34,4246.0,3.87,58167.0,0.79,61.12 +1293,France,2017,Zika,Viral,19.62,12.11,3.45,36-60,Male,96625,57.99,1.47,3.22,Therapy,36555.0,No,83.82,2047.0,8.39,58040.0,0.75,74.39 +1295,France,2021,Parkinson's Disease,Parasitic,19.71,3.51,0.71,36-60,Other,511709,54.23,2.6,0.8,Surgery,12652.0,Yes,90.27,3487.0,6.17,64303.0,0.76,76.05 +1296,Brazil,2007,Influenza,Neurological,4.12,1.52,4.14,19-35,Other,535642,77.99,2.5,4.46,Therapy,44425.0,Yes,86.21,1477.0,5.87,66205.0,0.57,72.37 +1307,Brazil,2004,Rabies,Infectious,17.91,8.86,5.83,0-18,Other,982608,60.45,0.77,4.4,Vaccination,23427.0,No,67.22,252.0,7.74,30030.0,0.59,24.56 +1308,China,2017,Malaria,Autoimmune,3.3,14.08,5.05,0-18,Male,935576,92.88,0.65,7.46,Surgery,17328.0,Yes,51.22,611.0,9.88,54932.0,0.7,78.84 +1309,Saudi Arabia,2004,Parkinson's Disease,Viral,10.16,1.92,0.78,36-60,Female,581957,84.45,1.65,3.33,Surgery,38402.0,Yes,96.61,3073.0,2.5,21652.0,0.85,50.16 +1316,Mexico,2003,Polio,Parasitic,5.3,12.15,7.68,0-18,Male,691312,52.38,2.81,5.36,Therapy,34162.0,Yes,92.28,519.0,6.32,49659.0,0.44,62.58 +1320,Russia,2005,Diabetes,Parasitic,11.93,2.18,5.29,19-35,Other,540989,51.95,0.66,5.87,Therapy,45735.0,Yes,94.81,4318.0,7.58,90943.0,0.53,82.9 +1327,Indonesia,2005,Parkinson's Disease,Parasitic,11.25,7.78,2.5,0-18,Female,36739,70.63,2.29,0.63,Medication,47113.0,No,95.58,1878.0,7.36,86623.0,0.53,67.06 +1330,China,2012,Zika,Respiratory,10.22,13.95,8.69,19-35,Male,187366,98.44,3.94,9.83,Surgery,8081.0,No,81.11,3106.0,1.65,59657.0,0.57,50.71 +1342,South Africa,2017,Cancer,Neurological,3.84,10.42,3.05,0-18,Female,793360,51.86,2.69,2.31,Medication,38429.0,Yes,95.01,7.0,1.73,52056.0,0.71,62.54 +1346,Indonesia,2003,Ebola,Respiratory,15.81,14.06,6.42,61+,Other,776973,79.18,4.98,7.29,Surgery,45007.0,No,56.66,4074.0,1.46,78874.0,0.8,85.08 +1347,Germany,2011,Rabies,Respiratory,3.5,6.26,6.59,61+,Other,658066,56.94,2.8,3.85,Therapy,47082.0,No,52.16,4445.0,0.99,50720.0,0.53,32.74 +1352,Italy,2017,Rabies,Viral,0.83,4.09,1.77,36-60,Female,166734,66.78,4.0,0.55,Vaccination,35074.0,No,65.96,1729.0,5.06,11889.0,0.62,60.46 +1354,Brazil,2010,Diabetes,Bacterial,1.55,4.4,9.73,61+,Other,890815,50.33,2.07,8.39,Medication,33649.0,Yes,95.42,1342.0,0.82,24901.0,0.87,30.99 +1355,France,2009,Dengue,Neurological,1.5,8.98,0.78,36-60,Other,355582,78.0,1.44,2.76,Surgery,30337.0,No,97.65,4152.0,9.8,53977.0,0.41,65.39 +1357,Turkey,2010,Rabies,Metabolic,4.88,3.61,9.71,61+,Female,333645,78.66,2.14,8.4,Vaccination,6183.0,Yes,75.96,3906.0,3.01,56971.0,0.54,20.33 +1361,UK,2023,Measles,Infectious,12.01,14.69,8.43,0-18,Other,214230,91.43,2.65,5.57,Medication,188.0,Yes,84.53,1252.0,9.44,9333.0,0.4,36.14 +1362,France,2013,Leprosy,Viral,6.36,13.88,9.45,36-60,Female,121566,96.01,4.1,9.03,Vaccination,21359.0,No,98.74,2707.0,6.78,47738.0,0.54,40.66 +1364,Germany,2006,Asthma,Infectious,15.49,5.96,2.56,61+,Male,468270,55.18,1.97,2.32,Vaccination,14524.0,Yes,95.55,4465.0,2.76,42093.0,0.48,87.86 +1365,Nigeria,2024,Malaria,Autoimmune,5.73,14.29,6.92,0-18,Male,955062,70.95,3.4,6.65,Therapy,9069.0,Yes,92.27,3684.0,4.81,68077.0,0.61,60.44 +1367,Indonesia,2009,HIV/AIDS,Respiratory,2.38,5.43,8.14,0-18,Female,252354,63.0,2.37,0.62,Vaccination,42499.0,Yes,85.4,4657.0,6.64,57527.0,0.48,71.3 +1372,China,2008,Asthma,Autoimmune,7.32,13.33,0.42,0-18,Female,276034,55.86,2.18,8.75,Therapy,45660.0,No,51.81,4116.0,4.82,3841.0,0.52,37.86 +1374,Indonesia,2011,Hepatitis,Genetic,0.97,5.91,1.66,61+,Female,111823,58.56,4.27,4.14,Medication,23781.0,Yes,72.34,4647.0,3.68,58598.0,0.73,86.7 +1381,Canada,2013,Zika,Respiratory,19.7,9.79,3.69,61+,Male,376448,93.33,1.76,9.17,Vaccination,41910.0,No,84.76,3754.0,8.52,36391.0,0.86,43.09 +1384,Germany,2012,Hepatitis,Parasitic,4.75,8.88,2.72,19-35,Male,284073,62.14,1.01,7.86,Vaccination,28783.0,Yes,92.1,1997.0,6.88,44730.0,0.84,27.75 +1385,Indonesia,2007,Tuberculosis,Cardiovascular,1.11,10.4,4.82,36-60,Male,230880,67.68,2.75,8.86,Medication,31673.0,No,94.46,1787.0,6.94,46434.0,0.84,52.37 +1393,Saudi Arabia,2024,Ebola,Parasitic,16.64,7.8,3.99,36-60,Other,453023,68.99,0.96,3.17,Vaccination,5572.0,No,82.86,3495.0,5.24,22091.0,0.73,30.18 +1395,Japan,2009,COVID-19,Bacterial,5.2,14.37,6.21,36-60,Male,933198,83.33,3.52,0.5,Therapy,34576.0,No,61.49,3746.0,4.11,96897.0,0.87,24.16 +1405,Brazil,2000,Cancer,Infectious,1.7,4.27,9.88,61+,Female,456346,61.08,1.15,6.59,Surgery,37155.0,Yes,57.92,2373.0,7.43,15188.0,0.62,78.33 +1406,India,2011,Measles,Viral,15.88,7.01,1.77,36-60,Female,981030,58.06,2.41,4.81,Medication,43635.0,Yes,98.69,3803.0,2.42,47591.0,0.75,69.46 +1407,Canada,2008,Cancer,Genetic,0.13,11.94,6.03,61+,Female,849108,70.66,1.82,1.17,Surgery,17710.0,No,71.83,1247.0,5.68,72539.0,0.74,71.88 +1409,South Korea,2007,Influenza,Infectious,18.55,5.05,3.93,61+,Male,923281,99.4,1.6,4.92,Surgery,4796.0,Yes,72.73,769.0,9.98,88396.0,0.77,61.63 +1413,UK,2022,Alzheimer's Disease,Metabolic,0.25,11.07,9.39,19-35,Other,256514,77.67,3.88,0.99,Therapy,15187.0,Yes,76.99,4853.0,9.19,85253.0,0.47,26.77 +1414,Canada,2009,Tuberculosis,Viral,0.6,7.0,5.72,19-35,Other,856440,87.79,4.57,2.6,Therapy,9282.0,No,82.33,2205.0,5.78,74682.0,0.64,53.38 +1418,Germany,2022,Influenza,Cardiovascular,2.33,10.33,1.89,36-60,Other,585046,81.02,4.84,0.8,Medication,28552.0,Yes,70.78,4789.0,3.62,55724.0,0.62,68.25 +1430,Nigeria,2007,Tuberculosis,Parasitic,16.89,6.66,1.47,0-18,Female,553136,80.11,2.89,6.84,Surgery,12082.0,Yes,73.0,4064.0,0.79,63453.0,0.61,26.69 +1434,South Korea,2001,Dengue,Parasitic,12.5,1.21,3.33,36-60,Other,435069,90.67,1.47,1.59,Therapy,6046.0,Yes,88.25,894.0,3.94,716.0,0.7,60.55 +1435,China,2009,Hypertension,Parasitic,15.32,7.41,0.8,61+,Male,164256,82.61,3.23,3.65,Therapy,7260.0,Yes,93.43,3902.0,5.48,45798.0,0.62,44.91 +1443,Russia,2008,HIV/AIDS,Autoimmune,16.73,1.13,1.78,19-35,Male,313351,63.21,1.63,7.49,Surgery,11370.0,Yes,68.27,1553.0,4.95,1146.0,0.82,38.9 +1450,Argentina,2023,COVID-19,Viral,8.69,5.38,9.02,0-18,Male,125494,51.76,4.85,4.22,Vaccination,30604.0,Yes,94.93,3389.0,5.51,65219.0,0.64,77.75 +1461,Nigeria,2001,Dengue,Parasitic,16.3,9.05,8.09,0-18,Other,223376,96.53,2.74,4.56,Surgery,24017.0,Yes,50.53,2233.0,6.89,77493.0,0.4,83.53 +1467,Italy,2009,Rabies,Respiratory,8.49,3.33,8.17,36-60,Other,645791,86.79,4.37,5.36,Surgery,30948.0,Yes,66.76,3273.0,3.42,60547.0,0.55,72.62 +1478,USA,2007,COVID-19,Parasitic,4.32,1.02,1.14,0-18,Other,980239,68.29,2.88,3.85,Vaccination,7463.0,Yes,70.41,3385.0,5.39,33938.0,0.6,49.29 +1491,Russia,2006,Malaria,Autoimmune,16.99,7.12,8.5,0-18,Other,505916,74.2,1.39,6.71,Vaccination,21254.0,Yes,91.32,2681.0,6.27,88668.0,0.87,33.63 +1496,Saudi Arabia,2014,Asthma,Neurological,12.51,6.54,8.14,0-18,Other,872081,99.6,3.14,9.13,Surgery,6119.0,No,79.46,4034.0,3.48,92263.0,0.42,24.41 +1516,USA,2009,Dengue,Infectious,10.9,6.9,5.68,36-60,Male,852513,90.04,4.76,8.27,Vaccination,21822.0,No,66.14,2030.0,3.31,51186.0,0.53,82.46 +1524,Brazil,2002,Tuberculosis,Cardiovascular,15.02,8.33,9.24,61+,Male,944556,74.97,4.18,2.87,Vaccination,3805.0,Yes,64.67,2759.0,2.83,40713.0,0.71,84.96 +1531,India,2020,HIV/AIDS,Cardiovascular,7.34,5.08,4.8,36-60,Male,560981,61.34,2.2,3.37,Medication,32233.0,Yes,96.71,612.0,0.28,6118.0,0.77,46.73 +1535,Saudi Arabia,2014,COVID-19,Bacterial,11.13,3.62,4.55,0-18,Other,866154,78.1,4.8,4.44,Medication,30977.0,No,56.92,4663.0,8.09,27523.0,0.82,23.26 +1536,Mexico,2018,Hypertension,Viral,12.89,10.78,6.18,61+,Other,584890,87.59,0.55,9.97,Surgery,36063.0,No,60.09,1753.0,8.98,40104.0,0.55,40.42 +1541,Turkey,2009,Rabies,Parasitic,1.8,10.47,0.93,0-18,Female,874760,50.88,3.63,8.38,Therapy,11319.0,Yes,69.4,3395.0,8.77,45198.0,0.56,45.73 +1554,South Korea,2008,Measles,Cardiovascular,19.03,4.03,4.39,19-35,Male,983743,62.11,4.01,9.75,Therapy,12384.0,Yes,60.88,171.0,3.09,72107.0,0.56,48.21 +1555,India,2017,Influenza,Chronic,15.01,0.45,0.6,36-60,Female,892923,88.69,4.12,4.35,Medication,1505.0,Yes,64.66,2602.0,1.68,98471.0,0.65,29.5 +1558,Indonesia,2018,Cholera,Respiratory,12.7,12.94,7.14,0-18,Female,478488,76.6,3.5,7.52,Surgery,3695.0,No,58.69,2067.0,6.21,48110.0,0.88,83.55 +1565,South Africa,2021,Dengue,Neurological,14.97,6.57,0.78,19-35,Other,296588,64.68,4.47,1.21,Medication,41350.0,No,94.73,2766.0,5.16,82910.0,0.8,48.65 +1568,UK,2018,Measles,Neurological,4.77,1.17,2.89,36-60,Male,353942,84.91,3.32,4.01,Medication,8612.0,Yes,57.64,82.0,9.7,46899.0,0.66,73.86 +1569,Nigeria,2001,Zika,Chronic,16.67,12.53,9.82,19-35,Male,894895,72.57,2.75,4.37,Therapy,42934.0,No,97.58,2994.0,7.82,47382.0,0.64,40.47 +1573,Australia,2015,Cancer,Chronic,2.13,3.2,3.05,61+,Male,179283,78.64,1.65,5.28,Therapy,33794.0,No,73.21,2870.0,2.97,16420.0,0.88,78.24 +1576,Mexico,2018,COVID-19,Bacterial,3.81,1.08,8.39,0-18,Female,146341,75.15,1.83,2.82,Vaccination,16407.0,No,90.91,3703.0,0.7,24822.0,0.53,63.79 +1579,Argentina,2005,Malaria,Bacterial,7.04,0.11,5.86,61+,Female,123879,93.9,3.7,2.9,Surgery,18264.0,No,64.12,3890.0,4.58,12349.0,0.73,20.28 +1594,France,2011,Influenza,Infectious,0.55,3.14,4.43,36-60,Female,617406,53.45,0.85,7.9,Vaccination,28796.0,No,94.29,2007.0,1.66,49757.0,0.79,32.46 +1603,Germany,2012,Influenza,Chronic,3.04,10.9,5.15,19-35,Male,36408,56.22,1.11,0.78,Therapy,30840.0,No,85.61,3222.0,3.43,87272.0,0.59,71.02 +1605,India,2014,Polio,Metabolic,1.78,9.81,2.12,61+,Male,377208,60.43,2.92,6.59,Therapy,44801.0,Yes,65.8,753.0,0.69,61703.0,0.84,82.09 +1606,Italy,2018,HIV/AIDS,Neurological,5.8,10.61,3.16,61+,Other,365581,68.52,4.72,9.65,Vaccination,45258.0,No,96.27,3238.0,1.67,27595.0,0.75,72.29 +1609,Mexico,2016,Influenza,Infectious,16.86,6.81,7.42,19-35,Other,830064,58.32,2.97,6.31,Surgery,39129.0,No,76.88,4812.0,5.51,1918.0,0.66,88.32 +1610,Germany,2000,Zika,Cardiovascular,1.87,14.92,5.16,0-18,Other,257913,79.5,1.44,8.46,Medication,37496.0,No,83.13,865.0,3.48,80951.0,0.87,27.83 +1617,China,2011,Dengue,Autoimmune,17.07,2.94,8.08,61+,Other,69712,75.05,4.2,3.97,Medication,44097.0,No,76.53,1415.0,4.7,21244.0,0.71,89.59 +1619,Argentina,2021,Tuberculosis,Genetic,7.23,8.31,8.52,0-18,Other,137730,81.68,1.57,6.05,Medication,7457.0,Yes,61.9,2389.0,2.27,59347.0,0.44,25.84 +1620,USA,2004,Hypertension,Viral,8.73,13.35,5.21,36-60,Female,944476,84.44,4.27,7.89,Vaccination,6688.0,Yes,88.41,1873.0,1.18,46348.0,0.59,72.34 +1622,Mexico,2016,Hepatitis,Genetic,1.81,13.08,2.19,0-18,Other,397366,94.97,2.3,6.28,Vaccination,19997.0,No,65.67,4287.0,4.16,67035.0,0.83,31.83 +1623,Nigeria,2011,Alzheimer's Disease,Infectious,9.49,8.4,0.55,0-18,Other,487732,86.42,2.65,1.85,Surgery,19275.0,No,93.48,2717.0,3.15,75991.0,0.68,71.77 +1626,Turkey,2022,Tuberculosis,Bacterial,5.17,11.4,0.46,61+,Male,112410,78.42,1.51,9.56,Therapy,26062.0,Yes,67.19,386.0,2.61,23567.0,0.49,69.47 +1628,France,2014,Asthma,Viral,8.88,6.73,6.25,0-18,Female,973916,81.12,1.89,8.43,Vaccination,45031.0,Yes,60.73,3622.0,4.06,35970.0,0.45,26.6 +1641,Italy,2004,Hypertension,Metabolic,4.81,13.77,4.9,0-18,Other,900890,81.08,1.48,2.71,Medication,30434.0,Yes,92.58,3780.0,0.83,63878.0,0.8,55.05 +1648,China,2024,Diabetes,Bacterial,1.98,10.31,5.41,0-18,Male,697314,63.9,0.77,2.73,Vaccination,7238.0,Yes,90.1,3663.0,6.91,21967.0,0.88,76.4 +1655,USA,2007,Cholera,Viral,7.65,9.99,8.25,36-60,Female,790267,52.81,4.9,2.86,Medication,25703.0,Yes,56.93,2456.0,2.36,33709.0,0.69,66.64 +1656,Italy,2014,Tuberculosis,Autoimmune,4.75,8.89,8.39,0-18,Female,254664,67.58,4.32,7.01,Medication,35934.0,Yes,62.43,2331.0,2.74,9961.0,0.89,22.51 +1658,China,2020,Hypertension,Respiratory,1.76,6.09,0.2,0-18,Male,504049,94.87,0.54,6.13,Vaccination,1673.0,No,73.77,426.0,2.66,89929.0,0.49,23.42 +1664,Argentina,2017,Ebola,Neurological,9.12,14.54,4.73,61+,Male,238497,63.96,0.67,2.42,Medication,20983.0,Yes,85.82,3917.0,9.21,20407.0,0.78,55.7 +1670,Japan,2003,Zika,Metabolic,10.45,4.41,7.21,36-60,Male,317609,93.2,1.45,8.83,Medication,32912.0,No,60.9,1106.0,8.13,57473.0,0.71,35.7 +1681,Nigeria,2016,Hypertension,Infectious,7.99,2.49,8.21,19-35,Male,890239,70.06,2.96,6.36,Medication,24472.0,No,96.78,521.0,4.16,59072.0,0.44,84.29 +1682,Nigeria,2013,Ebola,Respiratory,2.71,6.29,0.81,19-35,Female,378687,59.98,4.76,4.79,Vaccination,5399.0,Yes,57.92,3691.0,8.55,75929.0,0.83,44.67 +1683,Saudi Arabia,2021,Alzheimer's Disease,Metabolic,3.3,10.3,4.37,36-60,Female,160476,55.46,3.36,5.01,Therapy,37195.0,Yes,76.84,119.0,4.99,68219.0,0.49,21.34 +1690,South Korea,2001,Dengue,Infectious,2.95,10.28,1.01,36-60,Male,82429,67.03,0.5,7.12,Surgery,29777.0,No,55.51,4417.0,7.95,19241.0,0.72,43.94 +1694,Mexico,2006,Zika,Respiratory,3.7,3.19,1.85,36-60,Male,905157,81.97,2.33,1.92,Therapy,39355.0,No,58.65,1591.0,1.47,21448.0,0.76,49.97 +1730,India,2001,Hepatitis,Metabolic,5.99,7.34,4.3,19-35,Female,14112,53.61,0.66,5.28,Vaccination,11520.0,Yes,86.48,3135.0,6.34,27901.0,0.89,22.7 +1733,South Korea,2023,Leprosy,Parasitic,8.78,10.91,7.64,61+,Female,695371,77.19,4.58,6.8,Therapy,30462.0,Yes,72.03,1709.0,4.12,66757.0,0.58,55.15 +1743,Turkey,2002,Parkinson's Disease,Autoimmune,6.1,7.23,4.3,61+,Male,736127,76.08,1.1,1.84,Vaccination,48272.0,No,86.71,626.0,2.99,95456.0,0.78,27.78 +1744,Brazil,2017,Diabetes,Bacterial,13.2,11.47,4.6,19-35,Male,203787,89.59,4.12,5.63,Vaccination,26392.0,Yes,71.94,1677.0,7.86,74550.0,0.48,56.18 +1746,Argentina,2014,Influenza,Parasitic,0.12,9.89,3.99,36-60,Male,668992,57.64,1.02,1.62,Vaccination,15214.0,Yes,53.48,4485.0,2.36,14983.0,0.65,88.48 +1751,Germany,2009,Dengue,Chronic,4.27,6.73,9.14,19-35,Female,97041,94.44,2.05,5.5,Surgery,48017.0,No,86.04,1374.0,4.6,12181.0,0.58,65.5 +1752,Canada,2016,Cholera,Bacterial,13.53,9.76,3.1,61+,Female,476152,77.4,2.55,6.41,Medication,47163.0,No,80.56,1109.0,1.92,68031.0,0.85,50.73 +1754,Italy,2006,COVID-19,Parasitic,16.8,8.91,3.32,0-18,Other,903466,97.22,3.92,4.78,Therapy,1115.0,Yes,78.74,1720.0,5.91,84797.0,0.42,76.4 +1757,Italy,2012,Influenza,Viral,6.45,9.96,8.9,19-35,Other,203654,68.58,1.06,3.16,Surgery,14291.0,No,51.53,2152.0,0.31,45300.0,0.55,32.66 +1758,Argentina,2012,HIV/AIDS,Chronic,3.76,10.96,2.1,19-35,Other,52530,60.9,2.67,1.82,Vaccination,26605.0,Yes,62.87,486.0,6.16,79129.0,0.54,73.87 +1760,Nigeria,2022,Asthma,Viral,19.34,10.75,3.82,19-35,Female,948537,62.0,4.81,5.08,Therapy,15715.0,No,70.12,2087.0,6.9,75571.0,0.55,53.57 +1766,Turkey,2015,Parkinson's Disease,Neurological,16.15,5.43,9.68,36-60,Female,830307,82.97,1.15,9.05,Surgery,18745.0,No,56.15,4340.0,5.69,31345.0,0.72,78.69 +1777,South Africa,2024,Ebola,Genetic,1.68,4.92,7.64,36-60,Female,646620,50.72,2.5,7.85,Therapy,36031.0,Yes,57.67,2359.0,3.09,39166.0,0.77,87.05 +1780,Russia,2010,Ebola,Parasitic,4.39,8.92,5.98,0-18,Male,418722,99.6,3.6,7.49,Medication,47765.0,Yes,91.96,3707.0,4.64,94642.0,0.75,71.43 +1783,France,2000,Cancer,Bacterial,11.09,4.01,5.54,19-35,Other,644390,57.98,0.62,6.39,Vaccination,18173.0,Yes,79.45,938.0,9.8,74602.0,0.61,67.94 +1802,Japan,2014,Rabies,Parasitic,2.74,14.11,2.18,19-35,Female,378946,56.83,1.74,5.24,Surgery,36627.0,Yes,57.48,4362.0,5.98,41273.0,0.72,81.36 +1804,USA,2016,Zika,Respiratory,7.84,2.14,9.24,61+,Other,455944,89.15,4.44,6.09,Vaccination,26704.0,No,73.48,1185.0,6.07,41066.0,0.73,37.95 +1806,UK,2021,HIV/AIDS,Neurological,18.53,9.86,1.7,19-35,Other,835901,92.99,1.68,0.96,Surgery,20734.0,No,73.08,339.0,0.31,38082.0,0.43,88.45 +1807,Japan,2011,Alzheimer's Disease,Chronic,1.03,5.77,9.76,61+,Male,935882,63.45,4.89,3.21,Therapy,16340.0,Yes,62.26,85.0,8.09,3038.0,0.85,26.05 +1808,Mexico,2007,COVID-19,Parasitic,9.85,11.19,4.91,19-35,Other,686067,56.38,1.44,4.66,Vaccination,10698.0,No,69.47,3683.0,4.62,56746.0,0.64,72.09 +1817,Japan,2011,Ebola,Cardiovascular,12.98,10.56,0.93,19-35,Other,195512,65.21,4.0,7.44,Medication,2873.0,Yes,56.31,4195.0,6.92,80210.0,0.87,62.17 +1820,Mexico,2016,Alzheimer's Disease,Chronic,12.12,3.74,8.55,19-35,Male,386346,60.25,2.49,0.75,Vaccination,39543.0,No,56.56,380.0,7.7,44053.0,0.47,52.54 +1822,China,2023,Dengue,Neurological,6.03,4.82,9.09,19-35,Other,875120,72.45,1.49,9.43,Vaccination,37272.0,No,75.52,2390.0,0.44,66903.0,0.69,59.01 +1824,Turkey,2019,Measles,Autoimmune,18.9,4.27,3.92,0-18,Male,891515,65.1,1.74,2.33,Therapy,26839.0,No,92.11,1500.0,4.15,93853.0,0.43,24.3 +1828,Argentina,2022,Hepatitis,Genetic,13.05,14.71,3.15,0-18,Female,668005,69.67,3.45,3.55,Vaccination,11111.0,Yes,78.25,4715.0,6.01,99786.0,0.81,30.89 +1833,Italy,2015,COVID-19,Neurological,4.53,8.54,6.41,19-35,Other,720269,63.93,2.75,8.58,Therapy,16634.0,Yes,74.85,4065.0,5.52,66758.0,0.86,39.63 +1852,China,2005,Hypertension,Respiratory,3.88,1.9,5.48,0-18,Male,903617,81.19,4.7,3.81,Surgery,6854.0,Yes,53.44,1726.0,4.46,94370.0,0.4,48.85 +1864,Germany,2003,Influenza,Infectious,0.92,9.15,3.77,36-60,Other,356914,92.41,0.78,6.08,Vaccination,19390.0,Yes,68.16,1006.0,8.92,55959.0,0.57,39.21 +1869,Brazil,2021,Malaria,Genetic,10.87,3.73,2.39,0-18,Other,621677,97.87,3.8,4.47,Therapy,19131.0,Yes,75.47,458.0,6.94,96992.0,0.79,21.65 +1880,France,2016,Hepatitis,Metabolic,18.02,5.28,0.97,19-35,Other,707294,63.82,4.29,8.0,Medication,6576.0,No,80.19,320.0,2.23,6834.0,0.79,51.58 +1899,Brazil,2015,Dengue,Viral,10.41,4.83,0.58,61+,Other,742944,95.91,4.33,7.73,Therapy,24261.0,No,50.19,3992.0,7.78,7299.0,0.77,86.88 +1904,Italy,2022,Cancer,Neurological,12.63,0.9,8.83,61+,Male,566242,95.78,3.8,6.92,Surgery,45206.0,Yes,67.36,3462.0,6.34,94341.0,0.64,37.3 +1909,Indonesia,2016,Malaria,Neurological,0.72,8.74,5.26,19-35,Female,228114,79.9,1.77,7.26,Vaccination,277.0,No,57.7,432.0,4.73,98237.0,0.77,39.16 +1914,USA,2000,Alzheimer's Disease,Cardiovascular,0.39,2.17,1.65,0-18,Other,239568,60.61,2.36,5.4,Vaccination,36070.0,No,62.08,311.0,1.11,32604.0,0.85,59.08 +1917,Nigeria,2013,HIV/AIDS,Viral,2.46,2.38,5.88,61+,Male,606887,80.49,1.51,6.97,Medication,3803.0,Yes,84.09,2166.0,5.87,27822.0,0.83,28.76 +1922,Japan,2007,Dengue,Neurological,10.58,8.33,8.57,0-18,Female,256622,84.02,0.55,8.74,Therapy,6655.0,No,73.34,3418.0,2.01,46472.0,0.52,50.31 +1926,India,2000,Zika,Viral,15.63,0.59,9.44,19-35,Female,805003,99.9,3.17,5.71,Surgery,14359.0,Yes,81.21,2285.0,5.66,66510.0,0.57,20.16 +1936,France,2010,Asthma,Autoimmune,3.37,7.91,8.71,61+,Other,816884,81.07,2.82,8.58,Surgery,10346.0,No,91.83,2401.0,8.88,82157.0,0.77,36.31 +1943,Indonesia,2016,Asthma,Viral,9.14,2.28,4.04,36-60,Other,517215,54.8,4.76,7.68,Medication,2357.0,No,81.0,249.0,8.11,97901.0,0.68,82.09 +1944,Mexico,2009,COVID-19,Cardiovascular,7.08,2.52,1.2,61+,Male,18856,99.51,3.56,0.55,Therapy,7576.0,No,80.77,1613.0,4.44,39574.0,0.49,56.65 +1952,Japan,2004,Zika,Bacterial,13.8,5.08,0.89,0-18,Female,230399,72.8,1.88,2.17,Medication,9621.0,No,72.01,1639.0,6.54,98737.0,0.55,71.0 +1957,Turkey,2018,Hypertension,Chronic,15.69,7.61,3.18,0-18,Other,683590,61.92,1.67,3.44,Therapy,30908.0,Yes,64.38,4728.0,8.39,67473.0,0.52,30.78 +1958,South Africa,2024,Leprosy,Genetic,12.18,10.0,9.99,61+,Male,777512,58.2,0.64,4.84,Surgery,29592.0,No,68.99,3614.0,2.02,23299.0,0.89,86.74 +1961,Australia,2024,Malaria,Chronic,11.32,2.79,2.51,0-18,Other,497642,94.12,1.92,4.61,Vaccination,28933.0,No,67.52,2393.0,1.57,95324.0,0.83,85.47 +1964,India,2011,Hepatitis,Viral,11.22,7.64,2.9,36-60,Female,680407,82.93,4.56,8.24,Medication,31657.0,Yes,83.9,3071.0,1.32,77159.0,0.48,68.21 +1968,Italy,2013,Hepatitis,Neurological,4.17,11.06,8.22,61+,Female,123132,90.39,1.56,9.52,Therapy,2484.0,No,76.76,1297.0,8.37,79350.0,0.88,22.31 +1979,Japan,2007,Rabies,Cardiovascular,11.52,12.85,7.63,19-35,Female,303652,76.21,0.53,3.01,Therapy,29646.0,Yes,63.27,2326.0,9.08,22144.0,0.81,20.7 +1984,Brazil,2010,Zika,Chronic,1.59,2.17,6.37,36-60,Other,703533,52.35,1.58,7.28,Surgery,47412.0,No,80.33,2855.0,4.68,46892.0,0.48,89.95 +1985,India,2018,Diabetes,Bacterial,4.13,7.61,4.05,19-35,Male,777659,81.07,2.57,1.02,Surgery,22613.0,No,63.61,3668.0,4.54,56351.0,0.9,44.78 +1987,Mexico,2002,Polio,Chronic,19.08,14.15,7.83,0-18,Male,267543,92.56,4.03,8.41,Surgery,24349.0,No,66.26,1027.0,9.21,29338.0,0.58,62.88 +1991,Saudi Arabia,2017,Hepatitis,Respiratory,9.68,14.96,7.88,19-35,Female,379489,70.63,1.0,8.42,Medication,42300.0,No,76.13,360.0,8.31,63004.0,0.62,45.5 +1996,Russia,2002,Polio,Cardiovascular,1.31,1.67,4.84,19-35,Male,75686,68.2,1.98,9.38,Medication,7134.0,No,72.88,1871.0,1.0,47003.0,0.41,30.43 +2008,Japan,2001,Hepatitis,Neurological,0.53,8.51,7.31,19-35,Female,796412,53.33,4.01,1.03,Medication,9192.0,No,60.7,3675.0,3.96,85492.0,0.78,35.13 +2011,Canada,2013,Alzheimer's Disease,Bacterial,6.61,11.95,8.22,61+,Male,911200,62.36,0.62,2.71,Medication,10509.0,No,78.16,599.0,7.43,96782.0,0.77,61.52 +2017,Nigeria,2011,Alzheimer's Disease,Autoimmune,13.49,11.58,4.05,61+,Male,103983,90.26,1.87,8.27,Medication,4149.0,No,62.84,3113.0,2.69,33155.0,0.55,65.29 +2023,South Africa,2020,Malaria,Infectious,11.46,2.94,8.31,36-60,Other,472233,71.85,1.31,4.51,Medication,33004.0,Yes,51.42,827.0,6.35,76596.0,0.81,49.94 +2028,Japan,2006,Cancer,Infectious,4.82,12.04,8.44,36-60,Other,768298,93.69,0.93,9.91,Surgery,37442.0,Yes,87.1,1620.0,8.44,98422.0,0.48,66.47 +2045,Germany,2024,Influenza,Infectious,11.42,4.75,4.45,0-18,Other,85033,85.78,4.41,1.64,Vaccination,40021.0,Yes,63.38,519.0,4.36,58848.0,0.61,44.31 +2047,Japan,2016,Polio,Chronic,3.46,3.2,6.01,19-35,Female,351142,89.27,2.86,8.89,Surgery,49438.0,Yes,72.29,840.0,3.84,75417.0,0.9,52.71 +2051,South Africa,2015,Hypertension,Autoimmune,7.53,9.2,8.47,19-35,Male,635374,54.86,1.38,5.6,Therapy,40627.0,Yes,75.68,4716.0,8.63,1046.0,0.58,39.87 +2052,Turkey,2006,Measles,Parasitic,18.81,8.59,3.46,0-18,Female,335627,76.76,1.89,8.33,Vaccination,8142.0,Yes,62.46,4174.0,1.12,52378.0,0.52,38.31 +2055,Indonesia,2013,Cancer,Infectious,14.16,12.21,4.29,61+,Other,425673,71.49,0.97,8.84,Medication,9370.0,Yes,54.07,1979.0,8.02,12492.0,0.84,72.43 +2060,Germany,2017,Asthma,Parasitic,16.77,8.65,6.87,19-35,Male,875066,78.55,1.39,4.54,Medication,49994.0,Yes,79.13,4603.0,1.99,50698.0,0.52,70.82 +2072,China,2008,Cholera,Metabolic,4.07,7.28,4.01,36-60,Other,743962,71.74,4.6,9.14,Therapy,25602.0,Yes,97.41,1840.0,8.45,47206.0,0.48,42.03 +2074,Italy,2011,Tuberculosis,Chronic,9.1,1.86,6.77,36-60,Other,498296,70.99,1.71,1.89,Surgery,19718.0,No,93.59,3744.0,3.56,34624.0,0.55,42.95 +2076,Nigeria,2019,Cancer,Autoimmune,15.2,9.53,1.31,19-35,Male,872552,89.39,2.95,4.44,Surgery,35223.0,Yes,62.1,4740.0,4.36,9763.0,0.43,78.97 +2083,Nigeria,2015,Cholera,Autoimmune,7.48,11.57,8.93,36-60,Male,979254,66.44,1.74,7.99,Medication,7382.0,No,92.08,4400.0,5.94,10136.0,0.87,40.04 +2090,Turkey,2014,Cholera,Chronic,2.92,4.92,3.22,19-35,Male,843934,83.26,4.96,4.33,Surgery,31119.0,No,76.46,3455.0,3.52,38673.0,0.85,29.77 +2093,India,2014,Measles,Neurological,6.81,14.68,7.89,19-35,Female,676247,59.96,3.34,0.79,Therapy,32376.0,Yes,91.93,2858.0,8.8,94470.0,0.62,27.7 +2094,Brazil,2024,Zika,Cardiovascular,6.51,13.44,1.17,0-18,Male,965567,62.35,0.82,9.87,Surgery,36815.0,Yes,55.68,4015.0,5.9,91368.0,0.81,61.44 +2100,USA,2004,Dengue,Bacterial,5.71,13.98,4.97,19-35,Male,159625,76.38,1.93,4.43,Medication,24019.0,No,86.15,3931.0,9.53,2603.0,0.45,56.65 +2103,Japan,2007,Asthma,Infectious,5.84,8.42,8.46,0-18,Female,497604,86.33,4.64,1.54,Medication,12354.0,No,88.67,4478.0,8.44,56891.0,0.73,37.72 +2108,Brazil,2001,Influenza,Cardiovascular,14.47,6.44,8.26,61+,Female,517143,71.55,1.8,7.06,Vaccination,48775.0,No,79.99,1203.0,4.24,49584.0,0.66,68.2 +2116,Brazil,2016,Rabies,Neurological,0.9,3.83,6.04,36-60,Male,705193,75.79,3.88,3.42,Therapy,21042.0,No,58.14,3815.0,0.83,88702.0,0.74,44.26 +2117,France,2004,Hepatitis,Neurological,18.74,12.43,8.59,36-60,Other,69627,76.93,4.39,8.58,Therapy,20707.0,Yes,82.23,4809.0,7.28,21270.0,0.7,71.08 +2119,France,2021,Tuberculosis,Chronic,12.57,10.12,7.45,61+,Female,920650,98.0,1.84,8.71,Medication,9153.0,Yes,70.13,2035.0,6.95,96598.0,0.55,47.04 +2121,France,2008,Measles,Parasitic,4.97,13.85,6.89,19-35,Female,137152,74.81,0.75,9.2,Surgery,46844.0,No,65.29,3745.0,8.56,90600.0,0.43,64.03 +2125,Saudi Arabia,2012,Alzheimer's Disease,Metabolic,0.22,3.85,2.57,61+,Female,798325,75.61,2.92,2.48,Medication,9258.0,Yes,51.12,834.0,5.68,55091.0,0.74,70.08 +2126,Canada,2004,Measles,Bacterial,1.3,12.16,7.76,36-60,Male,372287,61.04,0.64,9.22,Surgery,5967.0,Yes,85.34,1722.0,2.72,33193.0,0.57,89.45 +2127,Argentina,2009,Hypertension,Cardiovascular,14.07,4.13,5.09,0-18,Male,471344,88.92,1.53,6.73,Vaccination,34775.0,No,83.36,1207.0,5.88,87740.0,0.77,28.64 +2134,Italy,2010,Hypertension,Autoimmune,4.94,14.57,1.93,0-18,Female,378368,74.95,2.0,3.43,Vaccination,9321.0,No,55.08,950.0,9.28,58770.0,0.69,31.9 +2138,Germany,2010,Parkinson's Disease,Autoimmune,10.03,7.28,2.1,36-60,Other,50666,93.65,4.13,9.67,Medication,6948.0,No,50.88,1209.0,9.64,1578.0,0.86,89.1 +2140,Italy,2009,Hepatitis,Autoimmune,11.25,3.05,0.77,0-18,Other,157715,68.59,3.61,8.57,Therapy,41717.0,No,52.78,249.0,0.79,73418.0,0.46,42.68 +2144,UK,2021,Parkinson's Disease,Bacterial,18.06,6.9,5.76,0-18,Male,700537,64.4,4.92,6.04,Therapy,18450.0,Yes,60.63,2109.0,4.28,50355.0,0.46,20.11 +2158,France,2012,Hepatitis,Infectious,6.36,5.39,6.57,61+,Female,584097,56.97,3.27,1.61,Medication,4320.0,No,71.37,4773.0,3.77,16290.0,0.84,65.39 +2160,Nigeria,2023,Tuberculosis,Respiratory,6.72,1.65,6.53,61+,Female,55826,51.66,1.54,4.44,Therapy,45185.0,Yes,53.55,2334.0,9.73,27892.0,0.46,84.48 +2167,Canada,2021,Asthma,Autoimmune,0.78,3.5,9.66,19-35,Female,642013,64.4,0.71,1.3,Therapy,23662.0,No,65.5,3708.0,2.01,28644.0,0.87,22.84 +2170,UK,2020,HIV/AIDS,Viral,11.49,11.67,6.96,61+,Other,422160,98.24,4.55,1.9,Therapy,39255.0,No,96.41,3850.0,3.07,64446.0,0.77,54.76 +2177,Italy,2008,Zika,Infectious,16.53,13.83,9.68,61+,Other,171964,82.63,1.29,7.44,Surgery,5329.0,Yes,98.96,4353.0,8.36,71105.0,0.43,21.27 +2186,Mexico,2006,Alzheimer's Disease,Metabolic,13.78,3.94,7.1,61+,Female,754472,91.41,3.18,4.06,Medication,248.0,No,91.23,2621.0,1.54,82256.0,0.47,87.0 +2188,UK,2013,COVID-19,Respiratory,19.31,6.39,5.5,61+,Other,306547,83.97,3.02,1.37,Surgery,20629.0,No,96.23,3231.0,4.42,95014.0,0.81,48.4 +2199,Germany,2001,HIV/AIDS,Metabolic,17.45,12.02,8.23,19-35,Male,933095,62.57,1.26,8.83,Therapy,34402.0,Yes,51.27,3990.0,3.39,13855.0,0.78,75.08 +2207,South Africa,2022,HIV/AIDS,Neurological,7.67,10.06,3.86,19-35,Male,591533,98.67,4.73,8.47,Surgery,46232.0,No,64.1,1890.0,1.8,95776.0,0.65,75.82 +2209,Saudi Arabia,2024,Dengue,Chronic,11.64,8.58,2.9,36-60,Female,787110,53.45,1.37,0.81,Vaccination,3800.0,No,94.52,3616.0,2.67,91054.0,0.78,36.47 +2214,India,2018,Hypertension,Cardiovascular,12.28,7.09,8.35,19-35,Other,907323,74.3,2.86,6.66,Medication,14178.0,Yes,94.37,47.0,0.9,44123.0,0.84,60.65 +2216,USA,2020,HIV/AIDS,Chronic,16.69,4.04,6.53,61+,Female,608522,99.49,2.64,2.45,Medication,17234.0,Yes,60.9,3946.0,5.96,1977.0,0.47,64.35 +2217,Brazil,2011,Tuberculosis,Genetic,12.57,10.72,1.1,0-18,Female,261325,78.29,2.19,3.77,Vaccination,47278.0,No,74.87,1505.0,0.07,46133.0,0.8,58.8 +2226,Russia,2010,Rabies,Parasitic,8.58,3.88,1.35,36-60,Other,797641,57.87,4.89,5.34,Therapy,46542.0,Yes,64.69,1082.0,2.82,54100.0,0.54,78.68 +2228,South Africa,2023,Leprosy,Cardiovascular,11.64,14.13,1.66,19-35,Female,430616,54.95,2.61,6.72,Surgery,4187.0,No,93.79,2250.0,0.1,45135.0,0.74,75.45 +2232,Indonesia,2018,Zika,Metabolic,1.37,2.27,2.63,61+,Other,339601,69.85,3.27,2.9,Therapy,5851.0,Yes,62.82,4419.0,8.54,43174.0,0.57,48.69 +2237,Nigeria,2008,Zika,Chronic,10.03,10.11,9.78,36-60,Female,103576,72.58,3.81,8.48,Vaccination,46968.0,No,98.62,4872.0,3.82,99950.0,0.56,84.1 +2239,India,2022,Parkinson's Disease,Chronic,13.13,0.97,1.15,61+,Male,12094,79.03,3.09,2.89,Medication,34882.0,No,72.3,181.0,3.6,15727.0,0.83,26.26 +2245,Brazil,2015,Zika,Genetic,4.27,11.78,3.39,19-35,Other,973080,79.66,1.81,4.55,Vaccination,23062.0,Yes,65.58,3768.0,1.27,71205.0,0.77,69.05 +2254,Canada,2024,COVID-19,Chronic,8.82,13.95,5.11,36-60,Female,217041,78.91,1.43,6.29,Therapy,10081.0,Yes,53.88,3061.0,1.07,76713.0,0.63,68.61 +2258,Saudi Arabia,2006,HIV/AIDS,Infectious,10.42,14.3,2.23,36-60,Female,478081,86.55,4.78,8.65,Therapy,33072.0,No,78.1,4350.0,1.98,9319.0,0.78,45.41 +2262,Saudi Arabia,2008,Rabies,Neurological,16.73,8.02,4.01,36-60,Other,801825,92.37,1.64,2.68,Surgery,4970.0,No,68.13,876.0,6.27,67201.0,0.84,22.67 +2263,Italy,2010,Asthma,Genetic,7.27,2.25,7.85,0-18,Other,537666,93.95,2.77,4.4,Surgery,32537.0,No,67.68,2307.0,1.55,49007.0,0.42,57.8 +2266,Indonesia,2011,Parkinson's Disease,Viral,2.1,9.54,1.28,19-35,Male,154286,54.72,1.59,2.55,Medication,43318.0,No,72.63,2033.0,7.16,94002.0,0.86,61.15 +2271,Indonesia,2002,Asthma,Metabolic,4.33,1.69,4.37,19-35,Male,786920,70.09,0.52,8.87,Surgery,47875.0,Yes,66.41,2702.0,9.25,96590.0,0.88,70.41 +2284,Japan,2000,Hypertension,Respiratory,9.79,0.25,0.92,61+,Female,961984,90.02,4.32,0.67,Therapy,25248.0,Yes,62.36,2136.0,8.99,40418.0,0.77,30.02 +2291,Japan,2002,Cancer,Bacterial,19.51,2.59,3.65,61+,Male,803364,86.05,0.7,2.99,Vaccination,14778.0,Yes,88.07,316.0,4.01,96888.0,0.46,24.8 +2302,Australia,2014,Asthma,Genetic,1.99,7.08,6.95,0-18,Male,876424,71.3,3.18,7.53,Vaccination,47787.0,No,55.61,109.0,2.21,2337.0,0.76,85.29 +2318,South Africa,2020,Hypertension,Neurological,10.98,1.95,0.75,36-60,Female,936135,68.23,4.47,2.96,Vaccination,23609.0,No,91.34,2753.0,1.83,24573.0,0.57,55.76 +2321,Italy,2015,Zika,Neurological,13.78,4.93,5.22,61+,Other,906054,70.24,4.67,4.59,Surgery,9397.0,No,76.75,1983.0,5.87,93467.0,0.74,76.06 +2325,South Korea,2015,Zika,Cardiovascular,17.62,10.13,3.21,36-60,Male,46356,64.67,3.43,1.04,Vaccination,38062.0,Yes,66.29,3449.0,0.27,26562.0,0.47,66.67 +2329,South Africa,2013,Diabetes,Parasitic,1.6,6.84,8.52,36-60,Male,663804,55.3,2.92,3.78,Therapy,11557.0,Yes,67.81,3679.0,4.91,16485.0,0.78,40.57 +2330,Turkey,2005,Polio,Neurological,8.54,0.77,3.59,19-35,Female,280540,69.45,1.99,4.85,Surgery,31597.0,No,56.24,1021.0,2.42,93009.0,0.66,59.23 +2335,South Korea,2007,Measles,Neurological,8.73,11.14,8.49,36-60,Male,753438,95.54,1.16,6.82,Surgery,47656.0,No,50.13,2359.0,3.15,9154.0,0.66,53.2 +2336,Germany,2017,Diabetes,Metabolic,9.81,2.46,4.64,0-18,Other,426823,85.3,3.0,3.98,Vaccination,31178.0,Yes,86.37,3373.0,3.62,5579.0,0.86,24.5 +2347,Germany,2020,Measles,Respiratory,15.85,4.02,6.54,19-35,Male,690770,51.63,4.4,4.69,Therapy,3348.0,Yes,51.74,557.0,5.98,57206.0,0.57,79.87 +2348,Nigeria,2024,Dengue,Metabolic,11.01,2.92,6.57,61+,Female,122536,71.07,3.16,3.11,Surgery,927.0,No,82.8,4741.0,2.33,85526.0,0.66,57.84 +2353,Brazil,2011,Rabies,Genetic,16.56,8.46,1.46,36-60,Other,654201,67.02,2.04,2.24,Medication,26886.0,Yes,87.45,1658.0,7.57,42256.0,0.77,87.84 +2357,Japan,2014,Tuberculosis,Neurological,0.78,12.94,9.99,19-35,Male,252690,74.4,0.6,2.63,Medication,30508.0,No,72.14,2733.0,5.54,30673.0,0.76,67.95 +2358,Brazil,2016,Ebola,Respiratory,13.13,1.68,5.3,36-60,Other,721282,83.57,1.36,5.01,Therapy,23752.0,No,95.87,2877.0,8.91,52647.0,0.83,67.75 +2360,Saudi Arabia,2014,Hypertension,Respiratory,3.52,1.16,9.27,36-60,Male,124584,60.96,4.99,7.65,Surgery,20744.0,No,70.95,1114.0,1.0,81723.0,0.75,70.23 +2363,China,2012,Dengue,Parasitic,1.98,14.94,2.48,19-35,Other,857436,95.07,2.58,4.46,Surgery,9917.0,Yes,52.42,1674.0,3.74,51009.0,0.87,35.93 +2366,USA,2023,Malaria,Chronic,8.3,9.17,4.55,19-35,Female,685947,98.77,4.19,9.76,Surgery,44990.0,Yes,50.56,4404.0,9.38,50357.0,0.73,79.5 +2367,Russia,2001,COVID-19,Autoimmune,6.13,2.68,7.64,61+,Other,143638,72.51,3.64,7.35,Surgery,38579.0,No,83.37,1286.0,3.2,23171.0,0.78,21.28 +2370,Mexico,2014,Measles,Chronic,1.84,1.4,1.65,36-60,Other,84970,96.15,0.85,9.68,Medication,18538.0,No,76.3,4875.0,5.74,50855.0,0.54,41.94 +2378,India,2011,Malaria,Autoimmune,2.42,13.41,6.38,0-18,Female,935380,85.52,0.95,9.18,Surgery,13494.0,Yes,68.99,1325.0,9.03,24545.0,0.55,41.96 +2380,South Korea,2010,Rabies,Viral,1.2,11.75,6.67,36-60,Male,384106,52.35,1.11,3.85,Vaccination,27972.0,Yes,73.82,1157.0,9.69,45044.0,0.46,88.85 +2387,India,2005,Diabetes,Chronic,7.74,12.51,9.38,19-35,Other,871405,60.74,3.14,2.24,Medication,5472.0,Yes,50.54,541.0,3.36,89863.0,0.8,26.72 +2388,France,2022,Diabetes,Viral,14.33,9.9,6.53,61+,Male,483025,82.48,1.89,4.78,Medication,35293.0,No,77.12,2072.0,8.12,81826.0,0.57,66.16 +2389,South Africa,2017,Hepatitis,Viral,3.58,11.62,4.96,19-35,Female,467290,82.64,4.28,2.3,Surgery,38467.0,No,55.96,1514.0,4.52,39939.0,0.76,83.73 +2391,Brazil,2022,Diabetes,Metabolic,17.27,9.17,9.26,36-60,Female,422861,99.11,3.01,1.22,Therapy,28352.0,No,50.04,3625.0,4.78,20517.0,0.47,61.38 +2397,Saudi Arabia,2018,Malaria,Metabolic,18.56,10.92,9.0,0-18,Female,256879,96.45,2.22,8.03,Surgery,13880.0,Yes,52.47,3923.0,4.23,83553.0,0.88,59.9 +2398,Canada,2023,Rabies,Respiratory,4.28,2.97,6.22,19-35,Male,243378,92.23,3.39,9.73,Medication,44895.0,No,79.13,473.0,0.32,42319.0,0.84,39.01 +2402,Italy,2005,Polio,Respiratory,13.67,1.05,2.82,36-60,Other,609589,93.53,4.12,8.56,Vaccination,32116.0,No,64.3,23.0,9.89,88126.0,0.61,28.38 +2407,South Korea,2020,Malaria,Infectious,14.07,1.3,1.95,19-35,Other,220574,58.82,3.09,9.38,Surgery,17789.0,No,90.21,673.0,1.74,23590.0,0.71,68.25 +2410,Germany,2021,Cholera,Neurological,12.63,7.34,3.8,61+,Female,822851,69.24,4.45,3.48,Therapy,37883.0,Yes,82.26,4063.0,4.32,27139.0,0.5,52.38 +2413,Japan,2011,Hepatitis,Chronic,8.52,7.78,1.89,61+,Male,824050,92.65,3.57,9.73,Therapy,3538.0,Yes,77.68,2531.0,4.02,54240.0,0.69,85.06 +2416,Japan,2014,Parkinson's Disease,Chronic,5.87,5.91,4.01,0-18,Other,123965,92.74,3.68,0.87,Therapy,38299.0,Yes,98.12,4221.0,8.74,75963.0,0.56,56.03 +2420,South Africa,2016,Parkinson's Disease,Autoimmune,0.17,4.27,7.48,36-60,Other,73959,69.57,4.18,4.64,Therapy,9987.0,No,87.62,1483.0,7.39,95350.0,0.5,85.79 +2432,Brazil,2020,Ebola,Parasitic,3.06,7.87,0.41,61+,Female,433341,66.1,2.14,2.66,Surgery,4448.0,Yes,65.5,3683.0,1.41,51441.0,0.88,42.65 +2436,South Africa,2015,Influenza,Bacterial,14.69,2.98,8.01,61+,Male,955449,51.27,1.73,9.54,Medication,16891.0,Yes,70.02,1200.0,4.16,66079.0,0.67,76.96 +2439,Germany,2019,Cancer,Viral,12.85,8.27,7.38,0-18,Female,857888,56.3,3.07,9.0,Medication,22273.0,Yes,85.71,1162.0,3.41,7906.0,0.43,82.21 +2441,China,2016,Influenza,Bacterial,16.45,9.06,3.58,61+,Male,894188,65.76,4.82,3.85,Vaccination,38458.0,Yes,87.38,4825.0,4.95,51559.0,0.56,68.77 +2443,India,2023,Hepatitis,Genetic,9.24,9.74,8.76,19-35,Male,128052,84.75,3.56,0.54,Vaccination,28347.0,Yes,55.35,4270.0,9.0,19968.0,0.48,28.76 +2447,Turkey,2017,Dengue,Genetic,1.94,5.02,0.98,61+,Female,475444,76.67,2.87,8.37,Therapy,23954.0,No,78.89,601.0,4.11,42593.0,0.64,69.66 +2449,India,2009,HIV/AIDS,Chronic,14.47,0.36,9.41,61+,Male,540837,91.92,4.59,6.01,Therapy,22401.0,Yes,69.66,475.0,1.64,10267.0,0.42,20.65 +2468,South Korea,2015,Cancer,Genetic,4.15,6.96,4.88,61+,Other,376821,70.79,1.12,0.63,Surgery,2036.0,Yes,51.57,3197.0,2.98,30958.0,0.44,78.54 +2469,Germany,2009,Leprosy,Bacterial,6.8,6.38,0.36,0-18,Other,385203,61.54,3.68,7.39,Therapy,47593.0,No,98.39,2205.0,0.5,41435.0,0.47,64.9 +2478,Saudi Arabia,2008,COVID-19,Autoimmune,16.82,11.66,7.24,0-18,Female,701105,55.63,2.64,8.78,Medication,2470.0,Yes,83.04,2521.0,6.56,93078.0,0.51,51.87 +2480,Russia,2002,Zika,Metabolic,1.49,3.72,8.87,19-35,Other,819658,75.04,3.96,3.57,Surgery,39900.0,Yes,85.58,2000.0,3.08,47747.0,0.45,79.06 +2485,Nigeria,2002,Measles,Parasitic,3.05,0.65,4.66,19-35,Female,643219,84.24,1.34,1.16,Surgery,17432.0,No,50.59,4151.0,9.19,48925.0,0.55,86.46 +2487,Saudi Arabia,2022,Diabetes,Autoimmune,18.45,8.27,2.46,36-60,Male,273748,62.5,4.22,5.34,Medication,3580.0,No,70.25,2985.0,1.74,78790.0,0.57,31.11 +2492,Saudi Arabia,2003,Measles,Parasitic,13.14,2.28,4.35,19-35,Female,36201,80.48,3.05,5.33,Therapy,37738.0,Yes,83.2,3612.0,6.22,47175.0,0.58,38.1 +2498,Canada,2001,Polio,Neurological,9.95,8.68,7.78,61+,Female,771174,55.53,4.11,6.34,Vaccination,44778.0,Yes,73.39,1018.0,0.18,96007.0,0.89,37.56 +2499,Germany,2006,Ebola,Autoimmune,15.52,8.35,9.69,19-35,Male,905182,88.82,1.67,3.75,Medication,19745.0,No,67.21,1908.0,8.91,60395.0,0.64,68.8 +2500,Japan,2024,Cancer,Respiratory,5.35,7.07,6.06,36-60,Male,824141,89.45,3.19,1.58,Medication,13608.0,Yes,58.31,2092.0,5.12,72590.0,0.6,46.43 +2510,France,2024,Alzheimer's Disease,Viral,15.88,2.91,0.21,0-18,Male,57239,56.95,4.25,2.43,Medication,7629.0,Yes,66.41,3781.0,1.64,20106.0,0.87,66.32 +2512,Japan,2012,Diabetes,Infectious,4.15,2.99,1.93,0-18,Other,500339,53.57,2.48,6.74,Medication,7989.0,Yes,89.61,1986.0,5.01,39876.0,0.82,24.73 +2521,Indonesia,2016,Ebola,Chronic,5.5,2.56,6.74,0-18,Female,501232,51.25,1.73,2.41,Surgery,5567.0,Yes,91.13,3581.0,2.56,54406.0,0.66,72.69 +2525,Indonesia,2009,Hypertension,Chronic,0.34,13.58,1.72,0-18,Male,948585,94.09,2.87,3.36,Vaccination,11141.0,Yes,78.78,4777.0,5.03,15844.0,0.68,81.91 +2526,Mexico,2023,Polio,Viral,18.42,8.61,6.46,19-35,Other,871693,59.83,0.89,2.4,Vaccination,37881.0,Yes,69.59,3981.0,0.57,86205.0,0.52,44.94 +2530,Japan,2002,Asthma,Genetic,5.69,1.53,0.36,0-18,Female,472499,78.8,3.46,8.95,Surgery,48269.0,Yes,82.47,3611.0,3.98,12705.0,0.48,58.11 +2534,Argentina,2021,Measles,Genetic,9.88,6.56,0.95,61+,Male,152896,99.84,0.82,9.04,Surgery,4107.0,No,50.93,7.0,4.17,56645.0,0.72,20.42 +2536,Canada,2003,Malaria,Neurological,15.25,5.89,2.95,36-60,Other,301121,57.72,3.2,7.77,Medication,37272.0,Yes,53.41,531.0,1.63,71549.0,0.89,38.9 +2537,Mexico,2001,Diabetes,Chronic,18.78,12.94,8.65,61+,Male,832337,81.28,1.85,7.0,Surgery,5787.0,Yes,63.08,3697.0,5.03,29488.0,0.49,46.13 +2538,Canada,2017,COVID-19,Respiratory,0.56,13.26,1.3,0-18,Other,789046,88.23,1.66,3.44,Surgery,27777.0,No,78.32,4797.0,2.27,88968.0,0.49,25.08 +2541,Russia,2008,Asthma,Bacterial,17.64,13.84,1.85,0-18,Female,938385,73.89,2.92,5.32,Therapy,23534.0,No,60.97,4328.0,3.44,91137.0,0.43,25.31 +2544,South Africa,2022,Alzheimer's Disease,Autoimmune,10.1,0.19,5.37,0-18,Other,958711,98.9,2.24,4.62,Therapy,841.0,Yes,51.83,93.0,5.31,3787.0,0.88,48.04 +2550,Australia,2021,Cholera,Bacterial,6.83,14.28,8.31,19-35,Other,361575,88.68,0.95,3.87,Medication,49924.0,Yes,53.89,1859.0,6.94,90335.0,0.83,31.92 +2557,South Korea,2019,Rabies,Respiratory,7.72,9.82,5.67,36-60,Female,466247,93.23,4.75,6.04,Surgery,22637.0,Yes,59.86,2419.0,7.01,57070.0,0.46,29.43 +2559,Japan,2013,Cholera,Autoimmune,16.84,8.17,4.46,0-18,Female,684617,64.19,2.5,9.51,Vaccination,22983.0,Yes,59.25,4644.0,7.25,93934.0,0.76,29.73 +2563,Saudi Arabia,2020,Cancer,Bacterial,11.34,8.28,9.07,0-18,Other,809669,90.93,3.94,0.87,Vaccination,19600.0,No,67.03,3672.0,9.99,29616.0,0.55,69.93 +2568,Turkey,2020,Influenza,Cardiovascular,14.07,5.22,5.6,36-60,Male,381491,84.13,0.61,1.52,Vaccination,47937.0,Yes,68.8,2584.0,5.49,14637.0,0.61,35.6 +2569,Mexico,2015,COVID-19,Neurological,15.82,10.03,4.43,61+,Female,165140,82.56,2.02,4.44,Medication,4048.0,No,88.93,2457.0,3.87,70517.0,0.69,42.36 +2570,South Korea,2011,Malaria,Chronic,7.93,1.23,7.67,0-18,Other,577457,71.1,1.83,3.27,Therapy,12849.0,No,50.91,3705.0,0.01,96481.0,0.83,46.11 +2571,Nigeria,2016,HIV/AIDS,Metabolic,9.79,11.07,3.46,19-35,Female,132359,92.57,1.73,9.06,Therapy,4820.0,No,95.64,4241.0,7.03,39054.0,0.87,78.76 +2575,Germany,2017,Measles,Metabolic,13.97,8.33,3.67,36-60,Other,585116,67.6,3.1,7.33,Vaccination,26203.0,No,71.53,1521.0,5.89,52326.0,0.83,64.53 +2581,Germany,2020,Ebola,Bacterial,11.07,11.46,5.04,0-18,Other,929239,60.25,3.5,4.15,Therapy,24236.0,No,57.62,1707.0,4.25,45352.0,0.46,79.85 +2584,UK,2001,Influenza,Autoimmune,9.49,13.45,3.63,0-18,Male,803631,54.42,3.93,7.98,Therapy,10718.0,Yes,53.04,3163.0,9.01,3813.0,0.73,75.52 +2589,South Korea,2017,Cancer,Viral,5.52,3.81,3.75,61+,Female,433904,56.88,0.6,0.56,Vaccination,19034.0,No,53.02,3047.0,5.4,92782.0,0.73,60.39 +2591,Japan,2012,Cancer,Chronic,11.75,11.18,6.03,61+,Male,857823,94.74,3.17,8.16,Surgery,537.0,No,68.5,233.0,8.53,15839.0,0.43,87.54 +2603,Canada,2008,Alzheimer's Disease,Viral,15.89,2.99,4.15,61+,Other,268875,87.34,1.01,7.72,Therapy,36844.0,No,54.26,4358.0,6.35,41042.0,0.74,22.48 +2611,Italy,2015,Rabies,Neurological,19.6,10.57,5.1,61+,Male,194693,73.34,2.47,7.18,Therapy,45760.0,Yes,82.96,3597.0,2.71,92521.0,0.77,89.07 +2621,India,2023,HIV/AIDS,Neurological,7.33,8.45,5.47,0-18,Other,130884,86.8,3.57,1.99,Medication,8731.0,Yes,51.49,357.0,1.88,56903.0,0.77,23.77 +2623,Argentina,2009,Cholera,Neurological,4.66,8.72,7.66,19-35,Male,827814,57.63,4.39,2.99,Surgery,31748.0,No,55.98,3304.0,0.71,7834.0,0.74,41.68 +2626,Mexico,2002,Parkinson's Disease,Respiratory,1.32,13.09,6.03,0-18,Male,427708,75.09,2.74,5.99,Therapy,11043.0,No,54.72,1996.0,6.32,89897.0,0.72,33.89 +2632,USA,2007,Malaria,Neurological,17.17,3.89,7.71,61+,Male,614554,68.18,2.68,7.25,Vaccination,29107.0,No,51.97,2377.0,0.5,2947.0,0.64,75.1 +2641,South Korea,2014,HIV/AIDS,Chronic,19.77,4.19,4.86,0-18,Other,846498,80.86,2.44,2.55,Therapy,42378.0,Yes,83.61,4313.0,6.43,4197.0,0.42,66.41 +2642,UK,2014,Influenza,Parasitic,16.3,0.9,8.11,0-18,Male,478924,96.66,2.89,4.06,Medication,47136.0,Yes,58.19,246.0,8.13,76740.0,0.74,59.47 +2645,Mexico,2001,Asthma,Infectious,14.61,9.41,4.92,0-18,Other,299333,94.05,2.65,6.4,Therapy,8320.0,No,66.14,1660.0,7.17,32266.0,0.51,48.64 +2647,UK,2012,Measles,Parasitic,3.32,3.04,3.4,19-35,Female,615333,89.47,0.68,3.68,Medication,47283.0,Yes,85.08,4719.0,8.9,15642.0,0.8,71.08 +2653,Indonesia,2010,Rabies,Respiratory,2.75,9.57,3.95,61+,Other,784349,98.15,2.27,8.12,Surgery,17198.0,No,92.35,2741.0,9.84,73005.0,0.45,26.91 +2655,Australia,2017,Rabies,Viral,16.68,4.08,2.44,61+,Female,516791,62.16,3.33,2.22,Surgery,47503.0,Yes,52.41,1390.0,0.36,46495.0,0.75,70.82 +2656,Japan,2022,Polio,Cardiovascular,16.03,10.0,6.53,36-60,Female,194089,89.4,4.66,6.86,Surgery,2480.0,Yes,90.05,4204.0,5.91,65069.0,0.82,35.93 +2659,Italy,2017,Zika,Cardiovascular,16.29,6.32,7.09,19-35,Female,599612,95.18,2.19,6.56,Therapy,13979.0,No,62.36,1925.0,1.69,73625.0,0.55,89.18 +2660,Italy,2014,COVID-19,Autoimmune,10.56,9.64,1.24,36-60,Female,916020,79.04,2.23,4.69,Vaccination,35708.0,No,65.98,3150.0,4.89,1332.0,0.4,66.84 +2669,South Africa,2008,Alzheimer's Disease,Viral,17.05,10.29,8.92,61+,Female,784648,76.65,1.24,5.87,Vaccination,7644.0,No,84.5,145.0,4.04,12925.0,0.53,66.8 +2672,Japan,2001,Measles,Neurological,17.01,12.59,6.41,36-60,Male,705278,54.48,2.23,5.42,Vaccination,15339.0,Yes,69.95,1512.0,0.15,82157.0,0.79,58.53 +2681,Argentina,2005,Cancer,Genetic,9.38,4.61,4.84,0-18,Other,958835,81.15,3.99,2.92,Therapy,41219.0,No,95.25,3880.0,6.6,88253.0,0.87,39.71 +2682,Mexico,2021,Asthma,Genetic,9.93,9.26,3.63,19-35,Female,440979,68.27,3.31,7.81,Vaccination,2469.0,Yes,78.91,875.0,1.6,24220.0,0.5,51.37 +2684,UK,2024,Measles,Neurological,0.93,1.96,2.78,61+,Male,980613,96.84,4.05,4.9,Therapy,15596.0,Yes,60.24,1037.0,9.48,15252.0,0.89,78.2 +2686,Mexico,2004,Alzheimer's Disease,Genetic,12.83,14.52,5.02,19-35,Other,964599,87.14,2.37,7.0,Surgery,19074.0,No,81.56,949.0,2.32,93473.0,0.5,39.84 +2687,Saudi Arabia,2011,Ebola,Metabolic,18.12,8.9,3.86,36-60,Male,159693,59.31,2.71,4.4,Vaccination,20563.0,Yes,50.65,3700.0,0.87,29554.0,0.63,63.16 +2697,Nigeria,2001,Ebola,Chronic,13.3,0.51,8.71,19-35,Other,77649,98.27,4.14,4.15,Therapy,25409.0,Yes,62.78,4036.0,6.69,64862.0,0.52,50.38 +2713,Turkey,2008,Hepatitis,Chronic,3.08,0.63,5.16,61+,Other,695208,74.46,2.52,2.57,Surgery,33985.0,Yes,56.38,2341.0,6.24,22057.0,0.61,35.9 +2718,Italy,2014,Hepatitis,Infectious,19.09,2.38,5.12,36-60,Male,807433,72.38,3.35,2.77,Medication,39589.0,Yes,95.98,1030.0,4.07,92939.0,0.81,87.15 +2719,Nigeria,2013,Cholera,Parasitic,5.64,8.74,3.18,61+,Other,643921,81.18,3.62,2.07,Surgery,44597.0,Yes,74.23,419.0,7.47,48425.0,0.43,31.32 +2727,UK,2007,Influenza,Viral,4.21,3.92,9.51,19-35,Female,762246,77.63,3.87,8.51,Medication,19977.0,Yes,97.12,2337.0,6.56,85933.0,0.43,51.5 +2736,Turkey,2007,Parkinson's Disease,Neurological,1.83,5.46,3.02,0-18,Female,599756,64.85,3.72,7.21,Vaccination,48664.0,No,98.0,1923.0,7.1,21275.0,0.43,24.6 +2740,Canada,2004,Polio,Bacterial,17.47,3.96,2.13,19-35,Male,603618,63.6,3.47,6.81,Surgery,10179.0,Yes,83.05,2129.0,8.46,28049.0,0.77,31.61 +2742,Italy,2015,Alzheimer's Disease,Chronic,14.29,4.07,8.24,0-18,Male,404596,90.84,2.5,5.45,Medication,25728.0,No,89.28,4433.0,7.07,78892.0,0.76,24.94 +2745,UK,2019,Ebola,Cardiovascular,3.7,10.73,9.76,61+,Male,584155,74.73,4.93,1.47,Vaccination,47810.0,No,79.33,12.0,5.86,9457.0,0.41,79.93 +2746,Indonesia,2008,Polio,Autoimmune,17.98,12.38,2.73,0-18,Male,845572,88.9,0.76,7.76,Surgery,39348.0,Yes,93.94,1611.0,6.84,34065.0,0.69,80.5 +2772,Australia,2008,Asthma,Chronic,8.72,0.56,9.45,61+,Male,239841,67.01,2.13,8.29,Surgery,12633.0,No,58.26,4570.0,0.9,5236.0,0.41,36.6 +2774,Russia,2010,Measles,Viral,19.8,13.44,1.8,0-18,Other,474585,91.55,2.83,9.07,Medication,9597.0,No,77.08,1345.0,8.4,75331.0,0.59,53.92 +2782,Saudi Arabia,2013,Zika,Viral,11.95,7.46,6.61,36-60,Other,874655,83.7,3.36,8.65,Therapy,31765.0,Yes,76.7,192.0,9.9,1489.0,0.64,77.58 +2798,France,2001,Asthma,Neurological,3.15,2.56,9.53,61+,Male,997878,54.82,2.83,0.67,Vaccination,48143.0,Yes,84.29,3394.0,2.02,49327.0,0.75,47.79 +2801,Indonesia,2021,HIV/AIDS,Infectious,4.79,13.79,6.98,61+,Female,489692,65.34,1.46,6.96,Vaccination,1317.0,Yes,65.52,3990.0,3.9,57947.0,0.88,52.04 +2803,Australia,2020,Ebola,Chronic,3.99,10.32,6.31,36-60,Other,608806,88.2,2.74,5.28,Medication,44636.0,No,58.71,1442.0,3.0,83297.0,0.82,51.2 +2815,Argentina,2024,Rabies,Cardiovascular,0.66,4.75,0.58,19-35,Female,787823,82.75,1.01,7.31,Therapy,26471.0,Yes,50.01,422.0,3.57,82968.0,0.68,72.75 +2823,Italy,2011,Alzheimer's Disease,Viral,5.56,9.29,5.94,61+,Female,462987,91.36,3.27,2.14,Medication,18939.0,Yes,85.47,2265.0,8.17,6553.0,0.9,26.64 +2829,Russia,2010,Diabetes,Bacterial,11.83,9.32,3.54,36-60,Other,419241,84.52,4.66,6.2,Medication,48973.0,Yes,84.01,1722.0,1.16,92251.0,0.85,49.57 +2834,India,2015,Measles,Autoimmune,0.39,12.11,1.83,19-35,Male,223679,90.6,4.27,8.59,Therapy,41701.0,No,65.96,1771.0,4.61,97071.0,0.61,57.31 +2859,Russia,2021,Alzheimer's Disease,Viral,18.26,0.98,2.66,0-18,Female,291435,53.5,0.87,1.8,Therapy,22572.0,No,97.11,4793.0,7.04,39750.0,0.55,52.41 +2871,India,2008,Rabies,Parasitic,13.04,11.2,1.57,36-60,Female,304495,65.95,3.58,7.04,Medication,45603.0,Yes,91.39,1627.0,3.86,11462.0,0.5,52.93 +2881,Germany,2018,Diabetes,Cardiovascular,13.12,0.67,8.77,0-18,Female,418727,62.78,2.17,4.99,Surgery,15969.0,No,61.79,1363.0,8.94,24976.0,0.7,61.63 +2893,Mexico,2023,Malaria,Neurological,10.57,5.87,4.9,61+,Female,247406,97.29,1.79,3.17,Therapy,39665.0,No,79.26,3493.0,8.45,22604.0,0.85,66.57 +2897,Italy,2020,Hypertension,Chronic,3.34,4.78,1.62,19-35,Female,811651,59.49,1.32,6.38,Surgery,41244.0,No,76.48,2434.0,8.54,78839.0,0.57,64.46 +2904,Brazil,2005,Measles,Metabolic,10.62,14.0,2.85,61+,Female,784189,75.48,4.67,7.05,Medication,28193.0,No,86.66,2871.0,9.64,10297.0,0.61,46.71 +2910,India,2024,Hepatitis,Genetic,2.33,0.9,9.63,61+,Other,146085,82.87,1.57,2.66,Medication,47855.0,No,64.79,4838.0,3.63,80086.0,0.61,76.78 +2913,Russia,2008,COVID-19,Respiratory,10.68,3.03,1.28,61+,Other,134867,62.86,2.74,8.71,Therapy,34571.0,No,81.41,1620.0,6.65,35590.0,0.79,70.41 +2915,India,2012,Zika,Autoimmune,7.58,5.45,3.12,61+,Other,984561,64.65,2.91,9.48,Surgery,39092.0,Yes,73.02,467.0,1.87,36317.0,0.43,68.08 +2923,Japan,2007,Cancer,Bacterial,12.05,6.99,3.61,61+,Male,368831,54.31,4.99,0.85,Medication,9725.0,Yes,83.49,4886.0,2.5,93252.0,0.69,32.95 +2924,Canada,2016,Leprosy,Chronic,12.49,3.59,2.5,36-60,Other,562624,71.35,0.68,5.55,Vaccination,40256.0,Yes,88.15,1583.0,5.23,46755.0,0.81,35.44 +2931,Italy,2000,Zika,Neurological,12.74,6.18,1.64,0-18,Female,740482,96.21,4.92,7.29,Vaccination,22516.0,Yes,92.59,3728.0,9.69,35368.0,0.89,25.39 +2942,Russia,2009,Dengue,Infectious,8.91,10.28,4.14,36-60,Male,272800,64.6,0.9,6.05,Medication,32055.0,No,92.49,3612.0,9.76,25975.0,0.56,67.28 +2945,Argentina,2009,Rabies,Cardiovascular,6.49,13.1,9.53,19-35,Male,167360,86.27,3.62,9.32,Therapy,19374.0,Yes,74.37,1015.0,3.67,78590.0,0.71,37.56 +2946,Canada,2006,Asthma,Bacterial,16.0,13.35,6.63,61+,Other,464997,74.33,1.94,3.16,Therapy,22762.0,No,92.07,337.0,0.12,84810.0,0.62,27.53 +2950,South Korea,2022,HIV/AIDS,Chronic,12.57,13.18,4.37,36-60,Female,739252,94.05,2.36,8.83,Medication,42923.0,Yes,90.11,4903.0,5.89,41575.0,0.49,62.74 +2956,Mexico,2019,Diabetes,Viral,2.58,1.23,7.41,36-60,Female,214571,64.7,0.62,6.04,Vaccination,25223.0,No,77.42,2391.0,6.89,65755.0,0.83,54.2 +2957,Nigeria,2017,Hepatitis,Neurological,6.78,3.73,5.95,36-60,Other,178238,60.26,3.58,9.87,Surgery,3282.0,No,60.5,1753.0,0.86,83958.0,0.8,20.27 +2958,Turkey,2022,Measles,Cardiovascular,14.66,8.41,4.52,0-18,Other,934347,55.73,0.54,2.84,Vaccination,48244.0,No,68.97,426.0,6.79,32660.0,0.58,26.41 +2965,UK,2005,Hepatitis,Bacterial,6.73,14.81,2.27,19-35,Male,794838,89.57,4.88,7.49,Surgery,24893.0,Yes,71.3,4493.0,3.79,9776.0,0.68,78.34 +2973,Indonesia,2022,Hypertension,Infectious,7.39,10.82,8.02,0-18,Other,867600,93.43,3.13,1.13,Vaccination,21637.0,Yes,85.56,4226.0,1.89,65177.0,0.6,75.34 +2975,USA,2009,Diabetes,Infectious,18.81,7.53,1.04,19-35,Other,107502,75.53,0.55,6.53,Surgery,29996.0,No,72.59,1821.0,9.11,92420.0,0.67,31.7 +2982,Argentina,2001,Parkinson's Disease,Neurological,9.91,13.07,9.15,19-35,Female,857984,98.79,4.87,1.3,Surgery,6811.0,No,65.37,2417.0,2.08,64536.0,0.76,30.73 +2988,India,2002,Polio,Parasitic,6.29,10.41,2.94,19-35,Male,682522,95.0,1.95,2.46,Surgery,525.0,Yes,88.1,2125.0,6.47,8851.0,0.79,44.73 +2996,Russia,2016,Dengue,Viral,16.29,6.77,7.17,36-60,Other,135061,91.23,2.31,9.25,Vaccination,14213.0,Yes,88.6,342.0,5.8,68970.0,0.67,63.97 +2997,Russia,2002,Cholera,Chronic,10.14,12.19,0.26,0-18,Other,234326,62.94,3.82,9.38,Therapy,22921.0,No,96.39,899.0,3.18,39529.0,0.54,55.76 +3001,China,2011,Tuberculosis,Parasitic,7.92,14.51,2.09,0-18,Other,622977,66.88,2.7,2.71,Therapy,3111.0,No,73.69,2269.0,8.52,44416.0,0.55,62.7 +3002,Argentina,2015,Cholera,Bacterial,0.75,12.32,9.89,36-60,Female,728229,55.5,2.46,2.62,Medication,1171.0,No,77.15,2211.0,1.93,69661.0,0.73,83.44 +3003,Italy,2021,Rabies,Infectious,8.65,9.34,7.06,61+,Female,777437,74.8,4.0,9.24,Therapy,25469.0,No,70.67,426.0,2.25,61626.0,0.49,41.5 +3005,South Korea,2010,Cholera,Bacterial,14.72,1.28,9.02,61+,Female,186713,83.25,4.89,9.89,Medication,28878.0,No,63.86,4001.0,9.28,23891.0,0.62,65.67 +3006,India,2024,COVID-19,Respiratory,11.76,11.33,9.24,19-35,Female,394874,83.23,1.96,2.78,Therapy,20367.0,Yes,70.07,1180.0,9.53,55264.0,0.69,58.18 +3012,Saudi Arabia,2005,Hepatitis,Neurological,7.77,4.65,0.11,61+,Female,298709,80.0,1.18,4.24,Medication,46617.0,No,63.6,3604.0,9.31,9121.0,0.86,45.93 +3013,India,2015,Zika,Metabolic,1.87,6.95,5.98,19-35,Other,76378,77.83,0.84,2.5,Medication,34533.0,Yes,92.65,2209.0,4.23,89574.0,0.85,60.26 +3016,South Africa,2005,Cholera,Viral,10.67,7.57,5.22,61+,Other,636284,77.59,3.89,7.6,Vaccination,43216.0,No,77.38,947.0,4.1,72302.0,0.41,59.0 +3017,France,2015,Tuberculosis,Autoimmune,1.0,9.05,5.61,0-18,Other,652897,56.68,4.69,8.98,Therapy,8581.0,Yes,72.35,244.0,7.99,19340.0,0.51,64.04 +3020,UK,2010,Diabetes,Genetic,5.54,7.77,0.46,61+,Other,667328,54.11,4.54,4.31,Vaccination,27882.0,Yes,79.83,3156.0,9.66,66172.0,0.45,32.79 +3021,Saudi Arabia,2021,Ebola,Neurological,10.02,5.14,1.39,36-60,Female,673166,83.02,1.53,7.05,Therapy,31025.0,Yes,67.31,3916.0,7.75,83384.0,0.82,82.42 +3025,Nigeria,2009,Asthma,Infectious,7.28,14.76,6.73,0-18,Male,850229,67.62,4.41,7.69,Therapy,20112.0,Yes,83.97,1246.0,3.94,35651.0,0.51,67.2 +3037,Germany,2016,Asthma,Chronic,19.77,5.03,5.8,36-60,Female,877188,82.96,4.08,4.44,Vaccination,37109.0,No,68.27,4048.0,3.92,72581.0,0.77,56.65 +3041,France,2021,Ebola,Chronic,14.06,4.83,9.27,19-35,Female,151648,60.21,4.16,8.26,Therapy,10064.0,Yes,71.6,3796.0,1.38,24876.0,0.63,60.35 +3046,Argentina,2006,Influenza,Autoimmune,16.93,9.17,1.0,19-35,Female,79367,94.55,3.94,3.83,Therapy,46698.0,No,84.37,3343.0,3.51,30695.0,0.46,78.89 +3047,Saudi Arabia,2021,Diabetes,Cardiovascular,3.84,14.2,9.52,0-18,Female,326535,99.28,2.89,5.3,Therapy,44264.0,Yes,53.07,3711.0,2.23,11189.0,0.49,68.91 +3050,Turkey,2024,Diabetes,Genetic,0.37,8.68,7.71,36-60,Male,763315,56.7,4.33,4.88,Surgery,18600.0,Yes,53.89,929.0,8.28,82343.0,0.83,32.52 +3051,Brazil,2010,Malaria,Cardiovascular,1.28,14.18,1.51,61+,Male,27830,96.97,3.1,6.05,Surgery,6128.0,No,81.36,3042.0,7.16,93645.0,0.77,66.63 +3052,Russia,2020,HIV/AIDS,Bacterial,15.13,0.62,6.99,0-18,Female,619591,77.85,2.56,8.55,Surgery,4453.0,Yes,53.52,4660.0,6.92,51371.0,0.84,61.16 +3053,Germany,2007,Hypertension,Parasitic,14.23,1.42,7.23,61+,Other,625781,50.13,0.67,7.9,Surgery,19385.0,No,85.41,1509.0,0.61,50393.0,0.75,53.31 +3056,Argentina,2001,Rabies,Chronic,9.18,12.37,5.88,0-18,Other,792680,84.31,2.79,2.77,Medication,30851.0,No,78.4,3687.0,9.52,67016.0,0.54,78.14 +3060,Indonesia,2007,Malaria,Neurological,3.42,5.22,3.46,19-35,Other,839970,93.26,0.94,3.26,Surgery,5783.0,Yes,65.41,3951.0,3.04,25786.0,0.71,64.45 +3064,Turkey,2018,Parkinson's Disease,Parasitic,8.56,1.3,6.63,61+,Female,440718,58.64,1.07,4.38,Vaccination,49136.0,Yes,81.76,4598.0,7.49,17582.0,0.64,75.25 +3067,Australia,2000,Measles,Metabolic,2.85,3.58,3.33,61+,Female,498420,69.55,4.08,6.94,Vaccination,16149.0,Yes,88.75,4673.0,1.72,47748.0,0.89,20.6 +3077,Mexico,2021,Tuberculosis,Viral,17.03,14.5,2.73,19-35,Other,110878,81.06,2.24,7.11,Therapy,29079.0,Yes,52.58,809.0,5.69,50398.0,0.69,33.1 +3094,Italy,2000,COVID-19,Viral,12.23,1.23,2.49,61+,Female,547123,82.77,2.68,1.07,Vaccination,30464.0,Yes,86.48,3597.0,3.54,21831.0,0.42,85.21 +3112,Australia,2023,Tuberculosis,Metabolic,12.57,2.17,6.06,36-60,Female,798600,56.69,4.37,7.59,Vaccination,21159.0,No,62.68,752.0,2.66,11876.0,0.61,26.44 +3113,France,2019,Asthma,Cardiovascular,7.93,5.89,6.7,61+,Other,927603,56.93,3.58,5.56,Medication,24486.0,Yes,91.99,3325.0,2.75,35248.0,0.51,32.22 +3114,Australia,2012,Measles,Respiratory,15.02,7.12,2.18,36-60,Other,304862,65.34,4.48,7.92,Therapy,19326.0,Yes,98.9,1030.0,2.13,34374.0,0.77,33.49 +3120,Saudi Arabia,2000,Hepatitis,Metabolic,3.13,8.39,3.08,0-18,Female,926660,67.69,1.71,5.82,Vaccination,19661.0,No,51.09,1044.0,5.69,29752.0,0.74,56.38 +3121,Japan,2017,Cancer,Viral,18.36,5.72,8.44,0-18,Male,540001,86.53,4.04,0.94,Therapy,18515.0,No,87.47,1947.0,9.7,30549.0,0.74,45.18 +3128,Japan,2022,Malaria,Infectious,0.67,6.36,8.91,61+,Female,673976,93.08,4.68,9.65,Therapy,41587.0,No,59.8,1256.0,7.68,99342.0,0.69,33.05 +3129,Italy,2010,Parkinson's Disease,Infectious,5.55,0.39,1.12,19-35,Male,304513,79.18,4.37,2.67,Medication,24040.0,Yes,54.85,2322.0,2.78,81379.0,0.8,62.9 +3135,Italy,2019,HIV/AIDS,Parasitic,0.23,0.82,4.44,0-18,Female,626034,98.04,2.49,5.74,Surgery,7298.0,No,91.7,4898.0,3.08,35488.0,0.65,30.45 +3159,Indonesia,2011,Ebola,Cardiovascular,8.77,10.98,2.52,36-60,Female,89178,74.64,4.6,4.18,Surgery,4418.0,No,62.31,4055.0,7.64,99078.0,0.79,59.81 +3161,Indonesia,2023,HIV/AIDS,Metabolic,8.03,11.06,5.95,36-60,Other,195002,73.89,0.68,4.57,Surgery,6494.0,Yes,86.01,2158.0,4.48,25535.0,0.48,51.89 +3164,Australia,2002,Cholera,Viral,11.59,14.59,8.23,0-18,Female,60211,65.66,1.02,6.88,Therapy,17164.0,No,72.23,95.0,4.72,51729.0,0.42,64.93 +3167,Canada,2015,Alzheimer's Disease,Parasitic,15.11,10.27,8.97,0-18,Other,880711,80.08,2.12,5.78,Surgery,36261.0,Yes,67.14,986.0,8.93,89579.0,0.9,65.45 +3170,Argentina,2013,Cholera,Chronic,2.93,6.37,5.56,61+,Other,515753,65.5,2.08,8.04,Surgery,33751.0,No,88.36,3461.0,4.46,89786.0,0.71,84.61 +3234,China,2014,HIV/AIDS,Infectious,6.35,9.01,0.93,36-60,Other,410730,92.61,4.3,6.49,Surgery,40331.0,No,98.08,4498.0,2.09,74627.0,0.75,57.4 +3235,India,2008,Cancer,Parasitic,7.93,13.06,9.06,0-18,Other,133717,80.69,4.25,3.71,Medication,3412.0,No,60.29,273.0,7.43,53690.0,0.43,67.58 +3240,Brazil,2006,Ebola,Metabolic,19.34,4.22,3.08,36-60,Male,208996,87.05,1.57,3.07,Vaccination,13639.0,Yes,67.28,1113.0,4.81,86241.0,0.53,74.12 +3242,Saudi Arabia,2019,Hepatitis,Viral,1.53,9.24,3.16,61+,Other,132097,78.69,3.49,0.86,Therapy,30391.0,Yes,55.86,2733.0,4.7,40094.0,0.82,49.1 +3243,Indonesia,2007,Hypertension,Infectious,10.04,4.02,9.46,61+,Female,354821,69.28,3.87,4.51,Therapy,49852.0,Yes,74.89,4696.0,7.22,45261.0,0.63,81.28 +3244,Brazil,2019,Hypertension,Viral,12.2,6.42,7.95,0-18,Male,74833,54.8,3.21,7.89,Surgery,4953.0,Yes,92.56,211.0,0.17,1030.0,0.46,76.22 +3250,Nigeria,2008,Alzheimer's Disease,Viral,17.09,10.32,2.56,61+,Female,75853,79.11,3.95,0.74,Vaccination,40026.0,No,68.17,1488.0,1.03,62059.0,0.79,38.5 +3251,Canada,2002,Tuberculosis,Neurological,6.74,10.16,9.88,19-35,Male,969528,50.83,4.94,7.26,Vaccination,44944.0,No,79.2,832.0,4.6,42269.0,0.6,27.82 +3252,Mexico,2011,Measles,Respiratory,9.02,14.6,9.56,36-60,Other,353082,70.73,1.17,7.74,Surgery,23447.0,Yes,70.07,1680.0,1.61,20068.0,0.75,37.18 +3258,South Africa,2017,Diabetes,Metabolic,18.61,12.07,4.75,19-35,Other,781724,59.12,1.35,8.34,Vaccination,32566.0,Yes,52.06,4146.0,2.56,77691.0,0.6,70.07 +3260,Russia,2021,Dengue,Viral,6.27,11.88,2.85,36-60,Female,86531,75.04,4.42,7.59,Vaccination,31893.0,No,77.17,3257.0,2.52,13878.0,0.74,33.16 +3264,Nigeria,2004,Cancer,Autoimmune,14.45,3.52,5.31,61+,Other,135202,57.24,0.75,1.46,Medication,13453.0,No,55.08,4363.0,6.53,41526.0,0.61,28.58 +3268,Indonesia,2021,Malaria,Parasitic,6.09,2.72,2.19,0-18,Other,128751,81.79,1.47,1.47,Vaccination,34769.0,Yes,93.49,1058.0,1.71,71579.0,0.85,45.76 +3269,UK,2022,Asthma,Autoimmune,11.43,13.64,5.24,19-35,Female,454115,59.85,0.82,9.12,Surgery,10556.0,No,61.33,2522.0,2.26,58638.0,0.76,22.38 +3272,Indonesia,2000,Dengue,Autoimmune,5.57,8.73,8.98,36-60,Female,77886,62.2,2.96,9.57,Medication,15807.0,No,86.73,2792.0,10.0,44751.0,0.67,49.86 +3273,South Korea,2024,Zika,Cardiovascular,12.85,5.25,5.64,36-60,Other,790378,66.83,4.37,0.57,Medication,44064.0,Yes,76.57,563.0,9.09,51043.0,0.75,62.85 +3283,Australia,2002,Hepatitis,Bacterial,2.29,3.1,2.23,61+,Male,360608,51.62,4.95,8.89,Medication,46132.0,No,94.37,4107.0,0.15,40771.0,0.47,79.34 +3287,Saudi Arabia,2000,Diabetes,Neurological,17.79,11.77,5.8,0-18,Female,507443,73.3,3.14,6.06,Surgery,47962.0,Yes,77.94,2346.0,8.81,84247.0,0.74,52.31 +3288,Turkey,2007,Malaria,Autoimmune,19.22,4.89,6.85,19-35,Other,419900,79.17,1.48,4.14,Medication,16338.0,No,83.37,4977.0,5.26,3637.0,0.82,62.99 +3294,Indonesia,2001,Influenza,Viral,16.11,13.84,7.36,19-35,Other,159857,54.52,2.52,5.58,Surgery,43403.0,Yes,62.59,897.0,5.73,48566.0,0.75,27.38 +3296,Mexico,2006,Alzheimer's Disease,Bacterial,7.57,1.92,9.42,19-35,Male,665669,78.14,4.9,7.97,Surgery,28489.0,Yes,96.03,645.0,5.76,68852.0,0.43,20.83 +3300,Australia,2012,Alzheimer's Disease,Infectious,16.59,7.38,2.99,0-18,Female,707840,63.38,0.88,0.82,Medication,36931.0,No,68.16,1374.0,4.67,75016.0,0.6,57.0 +3304,China,2017,Cholera,Respiratory,15.84,2.96,9.81,36-60,Female,840092,63.52,0.61,1.61,Surgery,10066.0,Yes,57.91,1191.0,8.92,29466.0,0.69,77.59 +3308,Argentina,2023,Rabies,Neurological,6.74,12.28,2.17,36-60,Male,720846,98.99,3.14,5.61,Therapy,22007.0,No,87.62,1183.0,6.99,28000.0,0.74,69.82 +3309,UK,2016,Influenza,Viral,2.38,7.66,2.55,61+,Male,362756,70.56,0.51,0.82,Therapy,41937.0,Yes,55.13,404.0,5.41,42249.0,0.58,44.62 +3319,Japan,2008,Cancer,Genetic,10.34,12.7,6.54,0-18,Female,589818,63.07,1.18,5.43,Surgery,24168.0,No,80.33,562.0,1.44,91295.0,0.47,33.04 +3325,Germany,2011,Influenza,Bacterial,18.23,12.71,7.59,19-35,Female,792028,64.05,1.31,6.79,Surgery,46017.0,No,56.53,3380.0,8.76,8299.0,0.58,87.09 +3333,Mexico,2009,Cholera,Parasitic,2.78,3.7,3.34,19-35,Male,590441,98.0,0.95,3.92,Therapy,9623.0,Yes,91.3,4736.0,0.22,48432.0,0.7,70.56 +3340,Canada,2015,Parkinson's Disease,Infectious,7.56,13.02,2.53,36-60,Female,791747,75.71,4.15,4.64,Vaccination,29477.0,Yes,87.47,4339.0,6.04,33744.0,0.8,61.13 +3341,South Korea,2010,Cholera,Autoimmune,7.77,8.26,1.3,19-35,Male,294173,70.39,2.15,6.45,Surgery,33305.0,No,68.0,1639.0,4.12,4695.0,0.45,25.16 +3342,Indonesia,2024,COVID-19,Neurological,17.64,14.39,7.81,61+,Male,63643,56.14,4.23,6.31,Medication,293.0,No,93.04,741.0,5.52,22509.0,0.45,61.95 +3343,Nigeria,2013,Asthma,Autoimmune,3.64,8.44,6.9,19-35,Other,417234,62.01,1.96,4.91,Therapy,29191.0,No,53.91,1386.0,0.62,84246.0,0.69,73.49 +3349,South Africa,2006,Cholera,Metabolic,6.19,13.62,5.42,36-60,Male,297380,67.14,4.77,7.8,Therapy,38343.0,Yes,94.46,1051.0,9.82,81492.0,0.79,30.97 +3356,Russia,2019,Leprosy,Metabolic,9.28,14.32,6.94,0-18,Male,575364,68.85,4.16,8.27,Surgery,26511.0,Yes,71.62,1019.0,9.73,88227.0,0.69,31.96 +3365,Turkey,2015,Malaria,Infectious,1.39,9.4,7.84,19-35,Female,466398,60.09,1.33,1.43,Therapy,8219.0,Yes,68.17,316.0,0.0,37419.0,0.78,59.42 +3366,Saudi Arabia,2001,Hypertension,Neurological,5.35,2.33,9.72,19-35,Other,375340,86.06,3.82,3.31,Vaccination,19290.0,No,55.21,887.0,9.65,41966.0,0.83,82.81 +3367,Japan,2024,Diabetes,Bacterial,12.54,4.9,9.33,61+,Female,603757,76.79,4.23,1.94,Vaccination,13635.0,No,60.18,2950.0,2.58,81009.0,0.75,51.72 +3372,Japan,2008,Alzheimer's Disease,Cardiovascular,16.64,13.66,0.68,19-35,Female,373621,56.85,4.39,5.69,Vaccination,12543.0,Yes,77.89,1605.0,3.56,45729.0,0.44,88.02 +3380,Argentina,2012,Hepatitis,Cardiovascular,13.66,14.39,0.74,36-60,Female,404963,50.11,4.91,4.15,Surgery,31122.0,No,72.25,3418.0,4.52,84868.0,0.42,88.52 +3390,Saudi Arabia,2023,Measles,Chronic,12.09,4.83,2.39,36-60,Female,188639,66.62,2.18,5.65,Therapy,30839.0,No,52.23,1358.0,2.83,14723.0,0.66,41.7 +3392,Saudi Arabia,2006,Diabetes,Respiratory,15.72,9.74,7.74,19-35,Male,471642,88.44,3.18,9.75,Vaccination,11361.0,No,54.85,1274.0,7.88,56347.0,0.52,44.94 +3395,France,2014,Zika,Bacterial,4.43,7.12,2.93,61+,Female,22809,52.21,2.16,1.74,Medication,37284.0,Yes,64.11,1525.0,3.89,1511.0,0.57,28.53 +3396,South Africa,2024,Hypertension,Autoimmune,0.27,9.53,7.03,19-35,Male,805820,73.55,1.12,3.42,Vaccination,4078.0,No,78.62,667.0,2.02,45315.0,0.69,52.6 +3397,Saudi Arabia,2009,Hepatitis,Metabolic,15.1,8.9,2.96,36-60,Female,273021,81.2,3.24,5.08,Therapy,38296.0,Yes,54.67,191.0,7.7,70268.0,0.68,48.64 +3417,USA,2007,Zika,Genetic,6.03,12.04,8.55,0-18,Female,665293,62.24,4.73,6.72,Therapy,12382.0,Yes,75.52,1522.0,9.98,75074.0,0.77,39.41 +3428,Russia,2003,Influenza,Infectious,5.67,9.95,2.97,0-18,Male,427184,69.46,2.37,2.13,Surgery,17379.0,No,77.24,3600.0,6.99,34365.0,0.75,77.22 +3430,USA,2020,Dengue,Respiratory,11.99,9.36,9.35,19-35,Male,851571,81.29,2.05,9.17,Surgery,38672.0,No,65.59,4988.0,4.78,72237.0,0.72,64.12 +3431,Nigeria,2008,HIV/AIDS,Viral,13.68,14.04,7.48,19-35,Female,56245,96.24,3.43,7.98,Medication,5339.0,No,71.51,1363.0,9.79,17664.0,0.47,49.51 +3437,Australia,2004,Alzheimer's Disease,Parasitic,12.23,0.4,7.7,36-60,Other,871661,92.56,1.12,7.69,Vaccination,13027.0,No,94.99,4794.0,7.65,86341.0,0.52,45.02 +3438,South Korea,2017,Parkinson's Disease,Parasitic,14.79,7.93,3.31,61+,Other,368943,89.71,3.55,0.69,Surgery,3249.0,No,82.13,2309.0,0.72,21681.0,0.47,46.19 +3439,Turkey,2013,Dengue,Neurological,1.37,13.01,4.37,61+,Other,855853,56.5,3.88,3.25,Vaccination,14736.0,No,52.73,905.0,4.18,4067.0,0.57,49.13 +3442,Turkey,2022,Measles,Neurological,11.07,5.28,8.75,61+,Male,797054,78.36,4.3,8.66,Therapy,41866.0,No,65.09,2959.0,9.1,46246.0,0.68,89.09 +3446,India,2004,Measles,Neurological,11.25,10.07,4.85,19-35,Female,744019,93.46,1.11,6.83,Medication,27101.0,No,86.81,2877.0,3.96,9070.0,0.65,63.0 +3447,Canada,2014,Asthma,Bacterial,18.82,5.18,2.75,0-18,Male,962078,81.07,4.24,7.62,Surgery,38646.0,No,77.49,1514.0,2.63,78072.0,0.84,63.53 +3450,China,2006,Malaria,Respiratory,17.37,8.28,2.41,0-18,Other,374338,80.27,4.82,7.03,Vaccination,26378.0,No,61.39,986.0,3.67,22081.0,0.65,67.0 +3462,Japan,2016,Ebola,Metabolic,7.64,1.0,3.56,0-18,Female,453661,83.65,2.3,9.98,Vaccination,39866.0,No,90.08,3477.0,0.44,8649.0,0.61,48.63 +3463,UK,2018,Zika,Neurological,13.43,2.12,9.29,19-35,Other,822312,77.31,2.35,3.02,Surgery,12126.0,No,71.19,1899.0,5.6,36187.0,0.63,47.47 +3466,Nigeria,2011,Dengue,Respiratory,8.4,5.0,5.35,0-18,Female,875306,84.39,1.48,5.92,Medication,43566.0,No,93.48,4661.0,0.89,57390.0,0.66,34.55 +3474,Australia,2005,Polio,Genetic,2.32,0.67,8.61,0-18,Other,893620,82.92,2.39,8.81,Medication,28924.0,Yes,92.81,3112.0,7.76,74521.0,0.66,43.76 +3478,Japan,2019,Malaria,Genetic,7.67,8.06,1.22,19-35,Male,893467,78.36,1.7,4.32,Surgery,37745.0,Yes,76.67,3705.0,7.79,42053.0,0.79,24.63 +3484,USA,2017,Asthma,Chronic,12.49,13.16,0.76,0-18,Male,61324,58.71,1.67,9.32,Surgery,22924.0,Yes,50.5,262.0,5.56,6687.0,0.85,29.43 +3487,Japan,2024,Measles,Genetic,0.47,3.48,4.97,19-35,Male,947411,53.84,1.45,2.17,Surgery,26880.0,No,82.47,2746.0,3.8,40447.0,0.78,84.4 +3498,Turkey,2007,Hypertension,Metabolic,12.12,5.65,5.97,36-60,Female,945367,88.43,1.11,9.07,Surgery,44165.0,Yes,69.37,2555.0,4.05,15094.0,0.64,54.59 +3507,Italy,2014,Parkinson's Disease,Infectious,9.08,6.78,9.29,0-18,Other,614321,51.1,2.05,3.28,Vaccination,2932.0,Yes,51.65,3273.0,0.24,95373.0,0.7,40.01 +3509,Japan,2004,Cholera,Respiratory,13.22,10.89,7.55,0-18,Male,666356,91.57,0.57,5.61,Therapy,37213.0,Yes,63.57,3333.0,4.77,94246.0,0.64,56.44 +3512,India,2019,Leprosy,Bacterial,5.01,13.97,1.1,0-18,Male,637299,62.72,2.78,3.8,Vaccination,1183.0,Yes,83.34,878.0,9.33,60507.0,0.83,73.96 +3521,Japan,2016,Tuberculosis,Respiratory,3.0,12.88,5.54,36-60,Other,32475,60.91,1.66,5.36,Surgery,19968.0,No,82.22,898.0,7.1,53765.0,0.68,82.44 +3526,UK,2019,Ebola,Parasitic,17.79,3.32,7.62,61+,Other,68161,99.74,0.98,3.7,Vaccination,2222.0,Yes,59.46,3114.0,3.07,94166.0,0.71,51.21 +3539,Argentina,2018,Dengue,Metabolic,1.33,10.02,3.07,36-60,Female,139875,85.13,3.38,9.57,Medication,49535.0,Yes,54.81,243.0,1.67,8492.0,0.51,85.68 +3546,Turkey,2021,Tuberculosis,Cardiovascular,18.87,7.43,4.19,19-35,Other,392429,83.68,3.96,1.27,Vaccination,25719.0,Yes,79.63,3303.0,1.89,15345.0,0.66,65.03 +3549,South Africa,2005,Hypertension,Genetic,8.26,9.41,5.43,0-18,Male,324674,65.28,2.71,4.29,Surgery,33684.0,Yes,98.28,325.0,8.2,99890.0,0.89,76.18 +3553,France,2006,COVID-19,Viral,11.64,3.38,9.37,0-18,Female,80961,56.52,1.2,4.31,Vaccination,6724.0,Yes,52.04,504.0,0.46,88922.0,0.82,40.85 +3556,France,2012,Influenza,Chronic,19.39,5.48,8.22,36-60,Female,634265,57.09,2.03,7.31,Therapy,35851.0,No,76.47,4575.0,7.46,93045.0,0.89,59.78 +3565,Mexico,2024,Cancer,Metabolic,2.84,10.57,0.27,19-35,Male,146678,58.01,4.74,7.03,Therapy,18869.0,No,80.07,1582.0,8.51,70281.0,0.84,77.71 +3568,Mexico,2001,COVID-19,Chronic,3.46,3.42,2.8,0-18,Female,55217,80.18,1.83,5.06,Vaccination,49251.0,No,73.3,2446.0,1.92,90104.0,0.52,59.62 +3574,Nigeria,2001,Hypertension,Autoimmune,8.33,13.33,7.13,0-18,Female,845179,55.65,4.26,3.13,Surgery,45587.0,No,83.26,4533.0,2.76,72478.0,0.47,78.55 +3579,Indonesia,2023,Cancer,Neurological,1.06,6.94,0.55,36-60,Male,750976,51.21,4.84,1.34,Medication,12284.0,Yes,68.05,4634.0,2.3,61629.0,0.41,37.03 +3591,France,2009,Parkinson's Disease,Neurological,7.74,13.9,0.78,0-18,Male,243846,96.29,1.25,1.03,Vaccination,13535.0,Yes,68.62,3651.0,5.66,54750.0,0.76,40.69 +3593,South Korea,2023,Malaria,Genetic,9.36,10.37,8.33,19-35,Male,863042,98.25,1.5,2.74,Therapy,35499.0,No,89.36,2851.0,1.92,32486.0,0.74,20.62 +3597,Germany,2020,Cancer,Chronic,10.71,8.42,1.15,19-35,Female,813981,97.45,1.9,3.13,Therapy,8719.0,Yes,88.55,1660.0,5.17,28856.0,0.43,80.55 +3598,Argentina,2005,Zika,Neurological,8.69,9.63,7.25,61+,Other,724659,84.05,1.41,5.62,Medication,5777.0,No,84.29,1901.0,4.44,62163.0,0.49,37.63 +3601,South Korea,2019,HIV/AIDS,Metabolic,16.53,7.45,5.17,0-18,Other,305846,95.25,0.71,2.25,Medication,23782.0,Yes,70.3,3741.0,5.8,24905.0,0.67,42.65 +3604,Saudi Arabia,2014,Dengue,Neurological,8.14,5.53,2.38,0-18,Other,119008,87.33,0.63,9.29,Medication,34328.0,Yes,91.68,2060.0,6.76,56591.0,0.49,35.99 +3605,Argentina,2011,Hypertension,Parasitic,12.61,12.44,3.03,0-18,Other,586381,83.99,0.65,3.15,Medication,40486.0,No,73.05,3488.0,7.29,95499.0,0.71,34.94 +3608,Nigeria,2002,Alzheimer's Disease,Neurological,2.86,5.08,5.6,36-60,Other,539747,84.7,3.33,4.05,Vaccination,31045.0,No,94.86,3444.0,1.44,29161.0,0.52,67.02 +3609,Saudi Arabia,2014,COVID-19,Respiratory,0.89,14.11,5.66,61+,Female,133780,74.87,1.92,1.67,Therapy,25267.0,No,77.04,59.0,4.88,15318.0,0.51,33.61 +3620,China,2023,Diabetes,Metabolic,0.45,10.4,5.38,19-35,Other,711237,53.01,4.68,3.53,Surgery,10321.0,Yes,60.19,3841.0,7.42,51400.0,0.68,24.5 +3634,Canada,2014,Diabetes,Metabolic,7.01,6.16,1.38,61+,Male,383643,61.22,0.75,0.8,Medication,18259.0,Yes,83.87,50.0,7.99,75839.0,0.52,53.02 +3636,Saudi Arabia,2005,Zika,Infectious,15.21,8.5,4.63,61+,Female,836799,55.12,0.51,9.45,Surgery,38481.0,No,95.62,2462.0,8.41,50388.0,0.83,60.13 +3638,Brazil,2013,COVID-19,Genetic,3.14,14.15,6.48,0-18,Female,60389,50.71,0.86,8.94,Vaccination,6008.0,No,80.9,2843.0,9.53,90996.0,0.64,52.34 +3646,South Korea,2011,Hypertension,Viral,19.17,9.25,2.13,61+,Male,217589,50.58,4.06,9.94,Surgery,36518.0,Yes,51.72,3315.0,5.77,10296.0,0.51,22.86 +3655,Mexico,2015,Measles,Viral,1.1,8.16,4.91,36-60,Female,532644,94.87,3.19,3.89,Medication,35529.0,No,86.3,2710.0,2.63,39697.0,0.53,86.25 +3661,Canada,2007,Leprosy,Metabolic,8.09,7.12,5.36,36-60,Male,826897,95.86,3.54,9.14,Medication,25642.0,No,60.28,3734.0,4.96,48107.0,0.88,76.35 +3663,Argentina,2011,Alzheimer's Disease,Respiratory,11.45,1.78,0.74,61+,Female,940910,77.65,1.98,5.17,Vaccination,8180.0,Yes,81.75,3092.0,4.12,58622.0,0.54,64.68 +3666,China,2001,Ebola,Chronic,6.51,4.61,6.37,61+,Other,276033,96.45,0.91,7.76,Medication,42319.0,Yes,86.63,522.0,9.15,40269.0,0.45,27.78 +3679,France,2007,Malaria,Parasitic,1.89,7.87,1.32,19-35,Male,815606,98.78,4.72,3.29,Therapy,32777.0,No,91.54,1195.0,8.32,13407.0,0.65,62.23 +3686,Saudi Arabia,2023,HIV/AIDS,Infectious,18.96,6.25,8.22,19-35,Male,1316,78.47,2.91,2.05,Medication,36149.0,No,80.87,2985.0,0.91,40526.0,0.51,77.74 +3696,Turkey,2023,Leprosy,Bacterial,5.44,2.41,3.54,36-60,Male,718844,80.86,2.04,5.12,Surgery,43482.0,No,74.46,2998.0,6.77,39913.0,0.57,37.71 +3707,India,2011,Dengue,Cardiovascular,11.46,9.92,7.74,61+,Other,735454,95.66,3.7,2.4,Medication,47828.0,No,54.46,531.0,2.33,76537.0,0.69,23.92 +3713,Indonesia,2019,Rabies,Parasitic,19.67,3.16,7.0,61+,Female,885464,79.49,2.21,7.13,Surgery,40669.0,Yes,94.72,1228.0,4.36,42044.0,0.66,76.63 +3717,Nigeria,2012,HIV/AIDS,Genetic,19.28,5.73,3.78,61+,Other,681999,80.44,4.82,9.99,Surgery,17192.0,No,72.01,1514.0,1.27,25791.0,0.8,64.6 +3719,South Africa,2014,HIV/AIDS,Autoimmune,18.27,4.12,5.84,0-18,Female,947340,61.46,1.16,0.64,Medication,9977.0,No,68.57,3240.0,0.55,70441.0,0.44,59.06 +3721,Italy,2013,Alzheimer's Disease,Chronic,14.69,0.56,2.37,0-18,Other,450395,58.8,0.64,7.09,Surgery,45669.0,No,85.83,3044.0,2.4,19058.0,0.86,36.44 +3723,Turkey,2024,Measles,Infectious,14.59,1.85,7.61,19-35,Female,513750,91.52,1.56,8.18,Vaccination,8934.0,Yes,58.05,4097.0,9.5,20843.0,0.67,66.75 +3728,Saudi Arabia,2018,COVID-19,Viral,13.19,0.41,8.14,0-18,Other,18050,87.31,3.28,3.71,Medication,43623.0,Yes,57.31,4945.0,6.01,45584.0,0.74,64.67 +3731,South Africa,2007,Cancer,Respiratory,14.5,11.74,7.26,19-35,Male,447073,75.36,0.86,2.77,Therapy,26472.0,No,72.69,4494.0,3.41,84720.0,0.67,83.86 +3733,Mexico,2023,Measles,Neurological,16.31,1.63,9.58,61+,Male,70335,88.79,4.25,6.41,Vaccination,39757.0,No,97.71,4947.0,9.54,23621.0,0.62,42.37 +3739,Saudi Arabia,2012,Ebola,Respiratory,18.21,8.99,9.36,0-18,Other,184881,63.51,4.29,5.16,Vaccination,29105.0,No,76.46,3928.0,2.62,82899.0,0.86,63.42 +3742,Italy,2014,Rabies,Autoimmune,5.11,5.82,8.13,36-60,Other,488502,94.57,2.02,9.32,Medication,47721.0,No,52.94,531.0,2.36,81454.0,0.67,23.19 +3755,Canada,2010,Asthma,Respiratory,8.88,5.84,3.41,0-18,Male,294649,72.14,3.74,5.62,Therapy,30643.0,Yes,52.39,2653.0,8.53,5100.0,0.6,30.75 +3758,Mexico,2016,Rabies,Parasitic,7.4,14.01,6.45,19-35,Female,726526,83.06,0.59,8.67,Vaccination,36511.0,No,97.75,2701.0,6.03,47484.0,0.78,55.16 +3759,Saudi Arabia,2004,Tuberculosis,Chronic,17.57,8.33,4.77,61+,Male,214664,84.84,1.74,4.61,Medication,41205.0,Yes,95.31,4975.0,1.95,59628.0,0.74,23.47 +3765,Mexico,2024,Measles,Cardiovascular,19.67,0.54,8.23,61+,Male,913880,72.44,4.48,4.11,Vaccination,28562.0,No,52.13,2963.0,1.53,88063.0,0.9,57.08 +3767,Canada,2000,Hepatitis,Respiratory,11.71,10.92,5.44,36-60,Other,158117,89.76,2.57,6.58,Vaccination,24266.0,Yes,64.54,3805.0,9.88,3625.0,0.74,26.41 +3771,Nigeria,2024,Tuberculosis,Genetic,5.48,9.27,3.73,0-18,Male,893689,50.19,2.33,8.56,Vaccination,12520.0,No,67.24,2737.0,7.76,52292.0,0.72,85.51 +3776,UK,2006,Malaria,Neurological,7.75,10.06,9.06,0-18,Female,853192,90.98,1.23,4.54,Vaccination,3451.0,No,72.54,2035.0,6.81,9065.0,0.46,39.78 +3779,UK,2015,Malaria,Autoimmune,0.39,14.33,7.32,19-35,Other,552280,55.11,1.98,8.6,Therapy,24151.0,No,93.49,1353.0,3.52,16781.0,0.88,35.89 +3784,Mexico,2021,Diabetes,Infectious,1.88,3.13,9.21,0-18,Other,137113,81.01,2.23,7.11,Surgery,44874.0,Yes,66.01,2727.0,1.09,31020.0,0.82,80.86 +3785,India,2011,COVID-19,Neurological,3.98,1.0,5.22,36-60,Male,716398,68.12,1.09,1.17,Medication,18908.0,Yes,64.08,4013.0,0.94,99018.0,0.78,78.87 +3786,Japan,2023,Cholera,Neurological,10.62,9.55,9.02,61+,Other,625382,56.96,3.06,4.54,Surgery,17890.0,No,69.08,2366.0,7.86,22294.0,0.42,56.76 +3787,UK,2001,HIV/AIDS,Chronic,9.97,2.71,7.28,36-60,Female,463064,93.66,2.07,1.32,Therapy,47403.0,No,97.44,73.0,9.22,44767.0,0.51,42.83 +3788,Mexico,2005,Asthma,Genetic,7.0,1.69,3.3,19-35,Male,411489,77.31,2.65,1.1,Surgery,18716.0,No,60.43,2187.0,0.16,80604.0,0.56,72.93 +3805,Argentina,2015,Cancer,Infectious,18.51,9.52,4.19,61+,Male,696396,87.4,3.27,6.19,Medication,4177.0,Yes,58.42,4046.0,7.97,96035.0,0.58,50.58 +3807,Japan,2018,Alzheimer's Disease,Bacterial,13.85,13.22,5.42,61+,Male,392033,97.54,1.48,6.56,Therapy,41771.0,Yes,69.93,4382.0,2.84,13311.0,0.54,46.95 +3814,Brazil,2023,Hepatitis,Infectious,18.53,3.31,2.76,0-18,Male,910876,67.67,2.76,8.22,Medication,42755.0,Yes,58.15,3238.0,6.23,29032.0,0.85,71.35 +3825,Germany,2014,Diabetes,Metabolic,8.8,10.8,5.41,61+,Other,435827,92.82,1.42,1.0,Surgery,2490.0,Yes,66.11,4612.0,9.12,96850.0,0.65,52.38 +3829,Indonesia,2016,Zika,Viral,18.02,4.46,7.65,0-18,Female,948146,89.39,0.54,8.05,Therapy,39765.0,Yes,98.66,3666.0,9.83,55850.0,0.49,47.38 +3832,Indonesia,2015,Rabies,Viral,5.0,12.39,4.1,61+,Female,776123,58.39,4.2,0.7,Therapy,23750.0,No,78.07,286.0,0.14,74491.0,0.82,25.77 +3833,Italy,2018,Malaria,Genetic,10.93,2.88,9.49,36-60,Female,286903,71.65,3.42,2.49,Surgery,40908.0,No,65.14,4895.0,0.88,36057.0,0.79,88.09 +3835,Nigeria,2006,Parkinson's Disease,Bacterial,7.02,12.51,4.67,19-35,Male,963254,74.1,0.6,1.37,Therapy,33878.0,No,84.82,1724.0,5.4,42640.0,0.89,85.05 +3838,UK,2005,Tuberculosis,Autoimmune,10.99,8.78,8.67,0-18,Male,60420,75.67,3.29,4.92,Surgery,39838.0,Yes,57.04,697.0,3.79,6304.0,0.63,84.13 +3844,Russia,2014,Rabies,Viral,16.17,3.78,7.68,19-35,Male,81022,82.77,2.12,1.24,Surgery,9082.0,No,68.1,4132.0,0.12,77406.0,0.48,68.31 +3849,South Africa,2024,Hepatitis,Bacterial,1.61,4.87,3.71,0-18,Male,664095,92.74,1.48,8.29,Medication,18251.0,No,98.34,4273.0,0.45,36923.0,0.51,37.15 +3852,Canada,2018,Diabetes,Parasitic,18.3,6.76,7.18,19-35,Other,508718,60.27,3.65,1.82,Therapy,8451.0,Yes,84.15,2858.0,0.27,38781.0,0.73,72.68 +3856,Germany,2002,Cancer,Genetic,16.99,14.38,6.3,36-60,Female,558686,93.9,1.15,7.08,Therapy,7800.0,Yes,74.34,4509.0,9.36,32020.0,0.57,25.35 +3859,Canada,2001,Diabetes,Respiratory,8.49,12.83,6.36,36-60,Male,509427,72.95,1.1,5.32,Medication,32552.0,Yes,83.69,838.0,4.33,97329.0,0.57,21.34 +3862,China,2019,Leprosy,Bacterial,11.68,6.7,8.2,61+,Male,518482,81.96,3.72,8.83,Medication,48713.0,Yes,50.19,176.0,8.72,12727.0,0.76,57.1 +3868,Indonesia,2004,Influenza,Respiratory,3.95,5.64,7.18,19-35,Male,955992,63.53,4.17,1.87,Vaccination,46898.0,Yes,89.13,1354.0,9.44,50899.0,0.56,89.29 +3885,South Africa,2018,Measles,Respiratory,9.64,0.91,0.35,19-35,Male,309321,52.64,1.37,7.83,Surgery,21274.0,Yes,57.17,4538.0,7.13,3997.0,0.87,74.01 +3894,Australia,2013,Hepatitis,Neurological,7.48,11.68,6.38,19-35,Female,611425,59.93,2.14,2.65,Medication,25478.0,No,95.72,1595.0,3.75,1947.0,0.67,33.48 +3910,South Korea,2002,Cancer,Parasitic,5.76,3.52,1.22,0-18,Male,535956,80.69,3.43,7.35,Therapy,39339.0,Yes,60.94,1170.0,8.56,39157.0,0.65,63.1 +3915,China,2005,Hepatitis,Cardiovascular,11.03,11.14,7.39,19-35,Other,2145,87.11,4.0,9.47,Medication,7201.0,Yes,92.11,99.0,3.72,72866.0,0.5,69.97 +3927,China,2024,Parkinson's Disease,Autoimmune,8.78,4.47,4.03,61+,Female,434675,53.05,4.14,2.65,Medication,14630.0,Yes,78.3,1833.0,0.46,95812.0,0.5,39.1 +3932,Canada,2021,Polio,Chronic,13.93,4.74,3.6,36-60,Male,978241,71.1,2.66,0.93,Therapy,31320.0,Yes,75.83,2708.0,7.56,83402.0,0.48,20.49 +3938,Turkey,2014,COVID-19,Metabolic,8.91,13.54,9.79,0-18,Other,951449,99.09,4.29,9.06,Medication,34117.0,No,90.04,1431.0,9.98,6845.0,0.6,31.0 +3960,Indonesia,2020,Leprosy,Viral,11.35,8.46,0.69,61+,Female,634454,86.28,3.26,4.12,Therapy,32141.0,Yes,55.3,2634.0,8.95,2619.0,0.69,33.28 +3963,Turkey,2016,Diabetes,Respiratory,19.2,14.17,9.3,0-18,Other,220421,79.38,4.03,2.16,Medication,24826.0,Yes,73.87,2800.0,3.9,4531.0,0.88,51.35 +3969,Indonesia,2019,Zika,Respiratory,17.42,10.43,7.13,0-18,Other,569590,90.44,0.89,7.47,Surgery,32754.0,No,57.83,1023.0,1.86,45996.0,0.57,86.39 +3972,Mexico,2005,Measles,Chronic,6.49,4.16,4.03,19-35,Male,727331,71.86,2.56,8.46,Therapy,585.0,No,73.13,4167.0,6.86,9979.0,0.81,55.88 +3974,France,2000,Alzheimer's Disease,Bacterial,17.97,12.82,2.36,36-60,Male,382452,88.43,2.29,5.83,Therapy,43026.0,Yes,72.27,2267.0,5.26,8208.0,0.52,80.43 +3978,Turkey,2007,Ebola,Parasitic,9.99,3.26,5.73,61+,Other,918221,88.11,4.39,3.81,Medication,42520.0,Yes,69.96,2055.0,3.62,37461.0,0.86,46.63 +3987,Saudi Arabia,2020,Asthma,Cardiovascular,6.98,6.51,9.39,36-60,Other,836042,63.15,3.09,8.76,Vaccination,36395.0,No,67.31,4432.0,2.46,3286.0,0.41,73.9 +4010,Indonesia,2006,Parkinson's Disease,Respiratory,6.05,10.96,9.33,19-35,Male,615342,73.66,3.79,6.92,Medication,37398.0,No,84.78,1096.0,9.96,69323.0,0.85,85.36 +4013,Australia,2012,Leprosy,Chronic,6.7,11.36,7.63,0-18,Other,142773,94.28,3.69,4.15,Surgery,5640.0,Yes,97.36,2495.0,9.79,92705.0,0.88,74.05 +4017,Saudi Arabia,2020,Cholera,Autoimmune,2.35,13.64,3.65,19-35,Other,134011,64.21,4.99,8.19,Vaccination,637.0,Yes,97.64,3601.0,7.76,99527.0,0.85,78.79 +4023,Nigeria,2018,Alzheimer's Disease,Metabolic,18.07,12.3,8.64,0-18,Other,177381,64.85,1.12,7.25,Surgery,11798.0,No,63.62,2073.0,1.71,23010.0,0.76,49.08 +4024,Turkey,2023,Measles,Viral,5.67,5.61,9.71,19-35,Male,101513,59.18,1.17,7.28,Surgery,14314.0,No,86.72,2990.0,9.31,57309.0,0.42,22.95 +4027,South Africa,2021,Zika,Cardiovascular,7.32,2.92,2.8,61+,Other,572986,88.76,3.31,2.76,Vaccination,49106.0,No,82.56,589.0,4.55,31239.0,0.82,34.39 +4029,Brazil,2015,Influenza,Parasitic,8.63,9.0,3.45,19-35,Male,450613,96.2,1.91,7.48,Vaccination,31094.0,No,80.06,4378.0,8.82,36915.0,0.76,71.27 +4030,Germany,2014,Tuberculosis,Cardiovascular,18.69,0.18,7.46,36-60,Other,543576,72.37,4.09,9.37,Surgery,10749.0,No,93.18,4728.0,1.85,19921.0,0.84,20.41 +4036,France,2005,Alzheimer's Disease,Viral,0.67,6.98,0.83,61+,Other,892195,99.58,2.23,9.46,Surgery,39394.0,No,58.09,4174.0,6.85,28444.0,0.88,61.22 +4043,Australia,2006,Hypertension,Chronic,9.54,2.4,1.48,0-18,Female,936571,63.68,2.43,1.18,Vaccination,12124.0,Yes,77.27,1292.0,1.0,47838.0,0.52,68.15 +4050,India,2009,Alzheimer's Disease,Autoimmune,19.68,4.73,9.36,0-18,Female,659008,68.68,2.97,7.9,Vaccination,19150.0,Yes,58.36,4684.0,1.5,12946.0,0.62,44.53 +4051,Indonesia,2010,Hepatitis,Bacterial,4.06,14.67,0.53,0-18,Other,271130,69.3,1.08,2.22,Surgery,46338.0,Yes,95.9,4260.0,1.45,7393.0,0.86,56.64 +4064,Turkey,2006,Cancer,Metabolic,18.91,10.67,2.45,19-35,Male,231231,87.72,3.77,6.96,Surgery,25813.0,Yes,60.18,2263.0,2.45,53314.0,0.48,77.74 +4077,Canada,2023,Alzheimer's Disease,Genetic,6.85,6.42,4.89,19-35,Female,98249,55.74,2.72,4.1,Vaccination,43152.0,No,55.43,476.0,5.87,58882.0,0.87,82.17 +4079,Nigeria,2019,HIV/AIDS,Autoimmune,12.31,6.82,6.02,61+,Female,160394,55.43,3.71,6.43,Surgery,35880.0,No,66.36,4070.0,9.5,20181.0,0.46,82.09 +4081,South Korea,2014,Ebola,Autoimmune,15.53,0.28,4.91,19-35,Other,151378,55.94,1.15,3.4,Therapy,3691.0,Yes,60.86,3422.0,3.41,90484.0,0.77,49.54 +4083,UK,2009,Ebola,Genetic,7.31,1.32,2.74,36-60,Female,505995,69.68,3.73,0.96,Surgery,7429.0,No,86.67,958.0,5.19,26860.0,0.74,68.33 +4085,Turkey,2000,Tuberculosis,Bacterial,2.64,7.23,3.44,0-18,Other,157159,80.69,3.35,7.6,Medication,20958.0,No,58.59,1214.0,6.47,24043.0,0.43,43.23 +4093,Saudi Arabia,2001,Measles,Parasitic,14.93,2.43,0.47,36-60,Other,734898,52.87,1.8,6.4,Medication,43835.0,No,81.86,1309.0,5.53,57466.0,0.67,79.27 +4096,China,2012,Measles,Cardiovascular,5.96,9.56,8.97,19-35,Other,362824,50.05,4.95,5.83,Vaccination,21003.0,No,52.55,905.0,3.27,38811.0,0.59,60.69 +4108,China,2004,Cancer,Metabolic,10.02,11.76,1.53,36-60,Other,193297,64.2,2.54,8.45,Therapy,24329.0,No,67.31,4694.0,0.52,2676.0,0.46,88.56 +4111,Nigeria,2019,Malaria,Cardiovascular,6.27,3.95,6.23,61+,Other,483833,50.37,3.21,4.95,Vaccination,10792.0,Yes,82.11,4590.0,6.93,37919.0,0.64,61.0 +4115,Canada,2013,Ebola,Viral,10.63,8.73,8.4,36-60,Other,184300,65.18,1.84,7.17,Vaccination,6114.0,Yes,64.21,3085.0,2.49,96777.0,0.75,20.54 +4118,Indonesia,2017,Polio,Chronic,13.17,6.04,7.55,61+,Female,517253,81.16,4.56,1.41,Therapy,728.0,No,79.17,581.0,6.61,93298.0,0.44,42.55 +4120,Brazil,2004,Asthma,Chronic,15.61,14.66,7.73,0-18,Other,333052,57.52,5.0,4.32,Vaccination,34494.0,No,92.02,2738.0,2.67,32264.0,0.64,74.76 +4122,Turkey,2016,Asthma,Autoimmune,0.96,0.58,7.79,0-18,Other,113108,90.94,4.44,2.88,Surgery,30699.0,Yes,68.52,4523.0,4.4,31171.0,0.62,37.85 +4139,Turkey,2016,Cholera,Chronic,15.38,6.48,8.81,61+,Female,890909,81.59,2.5,2.27,Therapy,43785.0,Yes,85.4,1930.0,3.94,92286.0,0.84,26.27 +4140,India,2015,Dengue,Autoimmune,18.43,6.83,1.2,61+,Female,485209,67.65,1.43,1.27,Therapy,38059.0,Yes,66.46,4983.0,6.34,92869.0,0.44,65.62 +4141,Germany,2006,Influenza,Chronic,0.25,1.11,4.11,36-60,Male,765870,59.91,3.12,3.14,Vaccination,40561.0,Yes,93.47,1468.0,9.22,97234.0,0.42,60.52 +4145,Nigeria,2024,Cancer,Respiratory,17.41,8.35,0.95,61+,Other,562956,93.9,4.13,3.1,Surgery,8519.0,Yes,76.12,1274.0,5.26,98143.0,0.62,36.37 +4148,India,2013,COVID-19,Neurological,16.92,14.4,5.27,61+,Male,201242,52.97,4.35,6.24,Vaccination,41306.0,No,74.82,2920.0,6.63,41089.0,0.77,57.97 +4151,Turkey,2017,Influenza,Bacterial,2.65,3.08,8.05,19-35,Female,833901,59.96,3.92,7.12,Surgery,34632.0,No,94.16,4111.0,1.03,19379.0,0.57,63.54 +4152,South Korea,2016,HIV/AIDS,Autoimmune,2.75,11.37,2.64,61+,Other,90236,99.11,1.95,6.77,Medication,4052.0,No,74.16,2481.0,0.58,7223.0,0.41,81.31 +4153,Russia,2001,Rabies,Viral,17.18,12.83,1.78,36-60,Other,474305,85.6,1.33,5.51,Surgery,43087.0,Yes,92.79,1488.0,3.82,93620.0,0.44,78.41 +4162,Indonesia,2021,Polio,Bacterial,3.21,1.55,4.64,61+,Other,516133,84.44,1.48,5.55,Surgery,3503.0,Yes,97.94,537.0,1.78,99110.0,0.83,38.99 +4164,Argentina,2004,Diabetes,Neurological,1.35,13.13,3.89,0-18,Female,768080,64.92,0.56,3.64,Therapy,8775.0,No,83.64,2682.0,0.61,88759.0,0.66,52.4 +4173,Brazil,2007,Alzheimer's Disease,Metabolic,9.63,6.5,5.61,19-35,Other,902146,67.45,1.93,1.13,Therapy,17292.0,No,83.57,3727.0,1.04,56068.0,0.44,68.08 +4177,Argentina,2010,Rabies,Respiratory,9.04,6.04,0.67,61+,Male,217844,50.89,1.65,4.1,Surgery,29779.0,No,82.15,3517.0,8.31,31822.0,0.59,66.65 +4179,India,2016,Hepatitis,Infectious,11.39,3.39,4.71,36-60,Female,390939,68.7,0.63,8.51,Therapy,8461.0,Yes,75.0,1215.0,4.02,66672.0,0.42,82.41 +4191,Italy,2012,Rabies,Respiratory,8.47,1.81,2.36,36-60,Male,365040,95.88,2.01,8.91,Therapy,47558.0,Yes,88.1,624.0,6.67,92757.0,0.64,85.95 +4203,Italy,2007,Parkinson's Disease,Viral,14.26,10.07,2.69,19-35,Male,341531,86.96,2.7,4.33,Surgery,24537.0,No,74.96,1911.0,7.1,7849.0,0.53,30.12 +4204,Nigeria,2022,Hypertension,Cardiovascular,15.86,13.31,9.83,0-18,Other,86227,74.07,2.02,4.94,Vaccination,4371.0,No,54.28,1124.0,7.86,2430.0,0.57,54.24 +4205,Germany,2015,Ebola,Genetic,13.38,8.97,2.58,61+,Other,447245,68.3,1.28,1.53,Surgery,36185.0,No,88.2,2954.0,1.45,27922.0,0.59,45.62 +4207,USA,2019,COVID-19,Cardiovascular,7.0,3.7,8.47,61+,Male,65892,50.39,0.81,4.88,Medication,1194.0,Yes,66.94,3672.0,9.23,20548.0,0.48,38.4 +4208,India,2014,Parkinson's Disease,Parasitic,10.73,7.61,3.43,0-18,Female,184234,64.09,2.18,8.25,Therapy,12280.0,Yes,55.93,1885.0,7.43,49592.0,0.43,59.01 +4209,Indonesia,2022,Asthma,Metabolic,15.98,12.51,9.71,61+,Female,303679,57.16,4.76,9.56,Therapy,42800.0,Yes,87.82,1714.0,6.06,92887.0,0.87,44.53 +4213,Saudi Arabia,2021,Alzheimer's Disease,Autoimmune,15.18,13.3,9.13,0-18,Female,514499,74.65,2.4,4.87,Vaccination,20832.0,No,98.9,3815.0,4.16,47916.0,0.84,45.58 +4225,Russia,2001,Rabies,Cardiovascular,6.49,1.81,9.0,0-18,Other,197519,86.07,1.18,7.07,Medication,4884.0,Yes,90.1,152.0,2.98,55114.0,0.84,71.07 +4231,Germany,2013,Ebola,Neurological,15.61,14.2,7.66,61+,Male,463073,95.32,3.44,5.87,Vaccination,42546.0,No,65.91,3914.0,3.89,4180.0,0.75,84.7 +4235,Indonesia,2001,Leprosy,Metabolic,19.62,5.58,5.03,0-18,Male,587067,51.99,0.76,4.83,Medication,21621.0,Yes,64.71,657.0,3.07,81781.0,0.88,30.23 +4242,UK,2003,Diabetes,Viral,18.98,8.62,9.74,19-35,Female,622220,97.29,1.75,7.61,Medication,41100.0,Yes,52.33,3838.0,4.57,53933.0,0.42,60.05 +4249,South Africa,2001,Leprosy,Metabolic,18.66,4.11,8.9,0-18,Male,212956,69.77,3.98,0.69,Medication,19962.0,No,78.37,3653.0,3.24,16287.0,0.72,47.99 +4250,China,2015,Malaria,Metabolic,10.85,1.34,5.01,36-60,Female,889410,99.01,4.73,4.38,Therapy,21150.0,No,65.75,1799.0,2.46,82576.0,0.84,29.52 +4254,Canada,2016,Diabetes,Infectious,4.08,8.87,8.93,19-35,Female,6583,86.8,4.4,2.51,Therapy,34899.0,Yes,64.29,814.0,6.85,71764.0,0.42,64.21 +4258,Australia,2004,Cholera,Viral,6.88,13.59,4.45,19-35,Other,773418,51.12,2.15,4.85,Medication,45248.0,Yes,87.19,283.0,4.84,60481.0,0.89,40.16 +4268,France,2015,Dengue,Respiratory,15.95,7.36,1.49,61+,Female,405650,58.3,1.66,3.38,Therapy,4576.0,No,65.86,3303.0,9.96,68670.0,0.45,61.15 +4271,South Africa,2007,Alzheimer's Disease,Bacterial,14.54,12.21,6.82,19-35,Male,156109,90.42,4.68,6.43,Vaccination,13734.0,No,54.11,3386.0,7.18,98319.0,0.4,27.08 +4281,India,2014,Zika,Autoimmune,10.26,13.34,3.95,19-35,Male,929371,75.71,4.58,8.32,Surgery,44340.0,No,66.46,901.0,4.55,4342.0,0.5,50.28 +4290,China,2016,Rabies,Chronic,5.65,14.23,4.64,61+,Other,726935,50.63,4.47,9.55,Vaccination,47178.0,Yes,89.56,610.0,1.81,23360.0,0.59,61.14 +4298,Mexico,2007,Hepatitis,Autoimmune,0.17,12.37,1.13,61+,Other,937868,95.09,1.79,1.14,Therapy,46239.0,No,59.05,286.0,5.53,17737.0,0.72,30.67 +4304,South Korea,2010,Cancer,Infectious,19.8,2.44,2.04,0-18,Female,633917,92.63,3.51,7.5,Therapy,24482.0,No,55.73,1435.0,8.37,19301.0,0.62,64.85 +4307,UK,2022,Alzheimer's Disease,Viral,2.93,12.69,7.74,19-35,Male,301058,64.33,3.16,8.58,Medication,36163.0,No,50.49,1229.0,0.96,51844.0,0.46,74.04 +4311,China,2011,Hypertension,Respiratory,10.78,13.89,9.67,61+,Other,539707,88.64,0.98,2.77,Therapy,28959.0,No,94.52,2013.0,5.1,41431.0,0.76,38.65 +4320,Mexico,2014,Rabies,Parasitic,6.07,14.9,8.72,0-18,Male,142801,85.41,3.62,8.82,Medication,16304.0,No,85.33,2590.0,3.7,23888.0,0.52,47.3 +4321,South Korea,2020,Diabetes,Chronic,5.52,12.02,4.57,61+,Male,585618,62.58,3.17,5.16,Medication,14751.0,Yes,74.64,2293.0,5.62,3741.0,0.66,68.76 +4326,Argentina,2013,Dengue,Cardiovascular,9.12,11.06,6.78,61+,Other,117478,98.88,3.51,2.12,Therapy,31335.0,Yes,68.25,485.0,7.29,14774.0,0.77,71.82 +4328,France,2018,Alzheimer's Disease,Neurological,10.62,10.57,0.33,0-18,Male,792757,69.93,2.95,0.62,Medication,31486.0,Yes,79.78,3486.0,2.69,61400.0,0.62,62.84 +4331,Mexico,2021,Hepatitis,Infectious,0.98,14.84,1.87,0-18,Male,313644,81.1,4.59,9.12,Surgery,47652.0,Yes,68.41,1697.0,2.04,88769.0,0.78,64.82 +4335,Nigeria,2008,Measles,Parasitic,5.0,2.24,0.8,61+,Other,348805,80.12,3.52,8.44,Surgery,44131.0,Yes,96.32,3472.0,4.98,83753.0,0.89,38.32 +4338,UK,2003,Cancer,Viral,2.58,11.33,3.94,36-60,Male,956696,68.62,3.51,8.98,Vaccination,4577.0,No,74.33,4099.0,1.03,31869.0,0.61,85.16 +4346,UK,2013,Hypertension,Neurological,11.56,4.47,2.74,19-35,Female,937988,67.94,4.74,7.49,Therapy,40975.0,Yes,66.05,2786.0,9.59,839.0,0.8,22.98 +4347,Italy,2020,Leprosy,Genetic,12.98,1.26,8.58,19-35,Male,987134,74.03,0.84,8.65,Medication,31412.0,Yes,76.33,4800.0,5.48,73143.0,0.51,60.44 +4349,Mexico,2015,Tuberculosis,Bacterial,16.68,5.42,6.29,61+,Other,651763,66.87,1.31,3.23,Therapy,35860.0,Yes,74.2,3734.0,2.42,66869.0,0.54,27.6 +4353,UK,2017,Rabies,Viral,14.71,12.62,1.24,0-18,Female,379629,56.55,1.21,2.2,Therapy,2679.0,Yes,90.45,2622.0,9.12,7021.0,0.5,35.44 +4362,Turkey,2021,Influenza,Bacterial,5.1,14.76,0.46,0-18,Male,129691,84.1,2.49,0.75,Vaccination,12699.0,No,64.17,149.0,0.11,10679.0,0.79,71.16 +4369,India,2024,Asthma,Autoimmune,18.92,10.45,5.14,36-60,Other,563162,57.33,3.11,8.22,Medication,49518.0,Yes,76.74,4436.0,4.04,91411.0,0.9,55.67 +4370,China,2019,Rabies,Infectious,18.94,4.04,2.03,36-60,Female,24397,62.91,3.61,7.13,Therapy,27382.0,No,91.75,2062.0,3.66,27400.0,0.44,65.07 +4379,USA,2004,Alzheimer's Disease,Viral,14.73,7.0,5.58,0-18,Other,315331,77.57,1.31,5.39,Medication,8591.0,Yes,83.9,883.0,8.17,7961.0,0.45,81.45 +4387,Italy,2016,Cancer,Respiratory,17.54,14.73,8.08,19-35,Other,200220,73.48,3.86,4.27,Medication,42344.0,Yes,60.37,4150.0,2.04,13369.0,0.82,78.42 +4396,Canada,2018,Cholera,Neurological,18.93,8.14,1.78,0-18,Other,5793,63.25,2.42,3.18,Therapy,31964.0,Yes,58.98,2700.0,3.78,53164.0,0.76,86.93 +4411,South Africa,2009,Leprosy,Metabolic,9.57,4.49,2.61,36-60,Female,206484,75.22,4.93,8.47,Therapy,48119.0,No,66.16,1660.0,8.76,82648.0,0.5,48.37 +4412,Brazil,2013,Cholera,Infectious,13.8,9.14,4.4,19-35,Other,375092,53.37,3.8,3.55,Vaccination,23450.0,Yes,61.7,2490.0,9.18,94127.0,0.55,34.84 +4419,Brazil,2001,Influenza,Respiratory,2.26,0.24,2.38,0-18,Male,437289,97.5,1.17,3.47,Therapy,39074.0,Yes,91.2,2226.0,7.72,71475.0,0.88,41.39 +4422,India,2006,Influenza,Metabolic,15.66,6.2,5.5,19-35,Other,917789,93.28,2.27,5.91,Therapy,4394.0,Yes,86.19,757.0,6.59,64317.0,0.78,21.12 +4425,China,2017,Hepatitis,Chronic,2.7,13.15,4.41,19-35,Female,567950,63.05,3.33,5.71,Surgery,27320.0,Yes,71.45,3914.0,5.48,10859.0,0.7,48.5 +4427,Argentina,2012,HIV/AIDS,Chronic,17.98,2.9,7.7,36-60,Male,762677,58.93,2.2,2.21,Vaccination,15599.0,Yes,61.3,3368.0,1.52,21216.0,0.74,78.56 +4428,South Africa,2001,Influenza,Respiratory,3.32,9.18,4.0,36-60,Other,483201,55.69,0.67,1.36,Therapy,15278.0,No,84.85,2281.0,8.02,42885.0,0.66,20.1 +4443,Russia,2004,Hypertension,Metabolic,2.13,12.99,8.87,36-60,Female,50166,54.13,4.7,4.71,Medication,18710.0,No,56.44,4347.0,8.68,62262.0,0.6,64.04 +4446,South Korea,2004,Hypertension,Parasitic,18.33,12.93,0.22,61+,Male,923849,81.93,2.48,2.93,Vaccination,47258.0,Yes,54.17,652.0,8.84,45510.0,0.75,26.11 +4452,South Korea,2008,Rabies,Viral,11.11,9.22,3.21,61+,Female,160475,93.91,3.35,2.83,Surgery,46725.0,Yes,60.42,4199.0,4.19,7779.0,0.87,66.5 +4454,France,2004,Dengue,Viral,8.81,8.07,3.98,0-18,Female,329982,95.57,0.58,4.06,Vaccination,39420.0,Yes,68.94,3489.0,6.81,17813.0,0.84,52.72 +4464,Russia,2016,Asthma,Genetic,1.84,12.89,2.39,19-35,Male,877609,82.48,1.85,6.95,Therapy,47936.0,Yes,69.16,342.0,8.94,47498.0,0.89,69.2 +4467,Nigeria,2021,Asthma,Bacterial,19.9,12.05,5.67,19-35,Other,156361,92.0,3.49,8.81,Therapy,30318.0,Yes,79.9,796.0,0.97,76024.0,0.55,88.61 +4481,South Korea,2023,Dengue,Neurological,10.12,2.06,6.0,0-18,Male,801967,84.29,2.85,4.75,Therapy,25312.0,Yes,75.6,2046.0,5.25,95963.0,0.53,85.36 +4483,Russia,2016,Rabies,Autoimmune,0.22,5.01,2.14,19-35,Female,229796,91.86,1.39,7.68,Vaccination,37313.0,No,88.81,33.0,5.9,87782.0,0.57,36.84 +4488,Canada,2008,Ebola,Autoimmune,12.92,1.5,4.03,36-60,Other,773668,83.2,2.08,1.26,Surgery,49461.0,No,84.65,2881.0,0.41,4935.0,0.53,66.71 +4490,China,2013,Zika,Parasitic,9.16,2.37,9.68,0-18,Male,862737,74.62,4.79,2.17,Surgery,2068.0,No,56.27,788.0,8.45,67768.0,0.52,70.51 +4496,Mexico,2019,Asthma,Genetic,17.33,1.26,9.4,0-18,Female,310932,60.88,2.64,1.56,Vaccination,13732.0,Yes,62.4,3651.0,0.58,12432.0,0.69,81.42 +4497,USA,2010,Asthma,Parasitic,16.6,4.05,3.19,19-35,Female,171520,53.02,4.42,3.15,Surgery,5654.0,Yes,95.77,3304.0,2.62,66038.0,0.71,73.47 +4501,Australia,2009,Alzheimer's Disease,Infectious,7.72,0.5,3.58,0-18,Male,49212,76.74,2.53,7.26,Therapy,49382.0,No,60.24,2362.0,7.6,43370.0,0.62,57.86 +4503,Mexico,2023,Dengue,Infectious,19.31,11.01,0.15,61+,Other,848159,53.4,1.12,5.85,Vaccination,47678.0,No,54.29,4920.0,6.87,47556.0,0.88,84.82 +4505,Germany,2007,Diabetes,Metabolic,5.73,5.94,8.5,0-18,Other,158262,89.41,1.96,0.92,Therapy,29921.0,Yes,92.96,4561.0,3.13,4436.0,0.57,75.56 +4511,Japan,2015,Rabies,Neurological,12.54,11.29,7.56,36-60,Other,721818,85.29,3.37,9.22,Surgery,20641.0,Yes,68.13,1058.0,8.11,21142.0,0.83,88.02 +4513,Indonesia,2003,Malaria,Bacterial,16.29,9.12,0.23,36-60,Female,517165,65.44,2.42,7.24,Medication,2938.0,Yes,75.98,3616.0,8.21,75851.0,0.55,45.03 +4525,South Korea,2010,Influenza,Bacterial,13.81,11.15,9.03,0-18,Other,315154,74.86,1.76,5.96,Surgery,40995.0,Yes,95.98,1778.0,8.15,14506.0,0.89,54.09 +4530,Saudi Arabia,2018,Parkinson's Disease,Chronic,14.35,5.66,3.91,61+,Female,626099,56.73,0.51,0.99,Vaccination,10904.0,No,62.37,78.0,5.29,59153.0,0.59,77.1 +4533,France,2018,Cholera,Cardiovascular,4.99,13.61,5.62,36-60,Female,449388,89.47,1.9,3.7,Therapy,1615.0,Yes,73.36,2348.0,3.91,20090.0,0.79,76.1 +4536,Australia,2008,Asthma,Autoimmune,8.62,9.86,3.06,36-60,Male,179629,65.29,1.22,8.83,Therapy,110.0,Yes,56.59,97.0,7.52,52585.0,0.48,24.93 +4538,USA,2006,Leprosy,Bacterial,1.37,3.87,9.67,19-35,Male,773797,59.47,1.83,5.49,Surgery,17313.0,Yes,71.66,4334.0,6.76,24748.0,0.77,71.02 +4550,USA,2024,COVID-19,Genetic,16.61,10.25,3.79,19-35,Male,749940,76.67,4.16,5.01,Therapy,12112.0,Yes,98.23,1009.0,8.94,81670.0,0.72,67.75 +4552,France,2009,Rabies,Viral,3.36,6.25,3.25,61+,Female,908206,97.65,2.02,5.17,Vaccination,35455.0,No,63.82,328.0,1.05,29124.0,0.55,52.7 +4553,Australia,2016,Dengue,Neurological,19.64,11.18,1.13,0-18,Female,799137,96.21,3.21,9.86,Surgery,32318.0,No,88.73,278.0,9.19,97194.0,0.45,68.31 +4554,Argentina,2009,Asthma,Autoimmune,2.25,5.35,5.44,61+,Male,794895,87.93,3.73,5.35,Medication,15081.0,No,85.81,1759.0,4.83,3974.0,0.83,22.04 +4555,Japan,2019,Zika,Bacterial,15.41,0.64,7.77,19-35,Other,422947,67.68,3.93,0.77,Surgery,25395.0,No,73.87,3077.0,7.87,88119.0,0.67,20.05 +4560,Japan,2022,Diabetes,Neurological,18.53,2.3,9.72,61+,Male,216599,71.27,3.88,0.82,Surgery,24489.0,No,88.29,4690.0,5.09,41976.0,0.66,36.37 +4564,Germany,2010,Influenza,Viral,16.31,11.24,5.8,36-60,Male,247904,92.66,4.4,4.5,Surgery,19526.0,No,81.65,4603.0,7.39,28465.0,0.43,36.2 +4573,Italy,2002,Asthma,Infectious,13.85,7.39,0.85,19-35,Male,371724,94.08,3.81,3.35,Medication,49355.0,No,93.54,2274.0,8.69,1609.0,0.67,69.86 +4575,Argentina,2004,Asthma,Viral,10.16,1.14,2.46,19-35,Female,312147,52.59,4.48,9.87,Surgery,24294.0,Yes,56.77,2763.0,0.8,14824.0,0.58,53.73 +4579,Australia,2012,Cancer,Cardiovascular,10.96,4.8,7.49,19-35,Female,79914,51.56,3.86,9.05,Medication,8009.0,Yes,70.72,3259.0,4.33,96567.0,0.45,74.51 +4587,Brazil,2002,COVID-19,Autoimmune,1.0,2.25,5.02,19-35,Female,56373,65.69,2.29,3.01,Vaccination,663.0,No,51.28,2972.0,7.16,78042.0,0.77,38.95 +4596,Russia,2009,Zika,Metabolic,6.52,3.25,2.64,19-35,Female,999592,55.14,3.22,3.38,Medication,38741.0,Yes,97.69,3524.0,8.64,82663.0,0.83,32.99 +4599,Mexico,2023,Cancer,Viral,13.94,6.91,4.7,36-60,Female,114462,78.4,3.13,2.38,Therapy,39501.0,Yes,55.67,1856.0,6.79,74458.0,0.76,88.88 +4605,Turkey,2012,Polio,Infectious,7.18,1.52,2.0,36-60,Female,170329,61.17,2.19,5.49,Vaccination,20890.0,No,61.92,2540.0,0.59,72481.0,0.43,87.7 +4607,Nigeria,2008,Ebola,Parasitic,19.5,14.92,5.74,61+,Female,226937,85.14,2.82,8.41,Therapy,46325.0,No,93.3,2963.0,9.26,88813.0,0.51,63.33 +4617,Mexico,2011,Zika,Cardiovascular,2.12,5.84,0.68,19-35,Female,561228,89.4,1.2,7.26,Therapy,41739.0,No,82.04,924.0,1.7,33788.0,0.67,64.22 +4623,Indonesia,2008,Cholera,Parasitic,1.78,12.39,3.81,36-60,Male,47983,64.3,1.89,5.1,Surgery,41502.0,No,55.13,3175.0,5.1,43052.0,0.56,59.65 +4627,Canada,2013,Zika,Cardiovascular,1.0,7.44,8.84,61+,Male,873874,85.97,1.34,6.26,Therapy,44526.0,No,97.24,980.0,7.51,85297.0,0.49,39.39 +4629,Nigeria,2000,Diabetes,Infectious,6.72,13.75,1.5,0-18,Other,5862,87.66,3.81,3.05,Surgery,18511.0,No,83.24,2501.0,8.19,68567.0,0.44,30.44 +4640,Italy,2008,Tuberculosis,Respiratory,19.35,3.46,9.35,0-18,Female,923390,62.64,3.1,7.78,Therapy,44679.0,No,75.92,2409.0,4.11,69498.0,0.84,71.99 +4648,China,2005,Zika,Autoimmune,10.37,9.98,9.52,36-60,Female,598772,85.93,3.63,3.31,Therapy,42434.0,No,90.83,1981.0,2.33,93065.0,0.44,89.26 +4650,Japan,2015,Ebola,Neurological,4.9,0.66,3.51,0-18,Female,177151,77.73,0.91,2.25,Medication,20228.0,Yes,71.41,3488.0,6.94,22240.0,0.63,52.83 +4652,Australia,2018,Hepatitis,Metabolic,4.07,10.15,8.04,19-35,Male,801481,51.89,3.75,0.55,Medication,28894.0,Yes,59.17,965.0,0.27,60113.0,0.77,34.82 +4653,Brazil,2006,Ebola,Cardiovascular,1.92,9.22,4.03,19-35,Other,455539,99.82,4.87,4.38,Surgery,41135.0,Yes,54.42,2823.0,4.48,53361.0,0.67,28.79 +4663,UK,2007,Cholera,Infectious,11.35,4.85,1.56,61+,Other,370630,73.89,1.74,9.24,Surgery,33467.0,No,66.99,3767.0,0.84,90377.0,0.47,42.4 +4668,Brazil,2012,Asthma,Cardiovascular,3.46,13.39,6.86,0-18,Female,450840,58.28,2.12,4.09,Vaccination,6775.0,Yes,73.91,4831.0,2.77,38837.0,0.52,74.69 +4670,China,2012,Rabies,Cardiovascular,16.38,2.92,6.84,19-35,Other,416724,79.7,3.46,4.27,Medication,30303.0,Yes,73.77,3276.0,9.28,84285.0,0.83,32.54 +4679,Japan,2022,Malaria,Autoimmune,18.58,7.51,0.17,61+,Female,476412,64.24,4.22,5.93,Surgery,30134.0,Yes,86.79,1084.0,7.61,91689.0,0.57,33.69 +4685,UK,2015,Dengue,Autoimmune,1.94,8.66,5.45,61+,Male,903264,59.59,4.47,9.85,Vaccination,45769.0,Yes,51.48,1384.0,6.92,39595.0,0.47,25.82 +4689,South Africa,2021,Cholera,Genetic,5.37,6.62,9.93,0-18,Other,39434,85.94,2.99,2.99,Therapy,22954.0,Yes,82.26,1005.0,8.39,38063.0,0.5,74.27 +4691,Canada,2017,Influenza,Respiratory,11.63,10.03,1.84,0-18,Other,745464,54.58,4.22,2.76,Medication,42499.0,No,94.96,282.0,1.99,40066.0,0.7,80.46 +4697,Turkey,2010,Rabies,Autoimmune,11.86,10.78,4.67,0-18,Other,246249,62.95,1.1,6.75,Medication,28259.0,No,70.11,4508.0,3.46,33126.0,0.84,72.95 +4704,Russia,2000,Hepatitis,Autoimmune,18.34,8.52,7.8,36-60,Male,1229,81.26,1.88,8.64,Surgery,48087.0,Yes,94.68,882.0,3.45,78532.0,0.59,58.46 +4707,Mexico,2004,Cancer,Bacterial,2.97,13.62,6.17,19-35,Male,426659,64.47,2.93,3.07,Medication,35060.0,No,77.05,704.0,0.92,38157.0,0.52,62.89 +4709,Saudi Arabia,2014,Zika,Neurological,11.58,3.91,9.31,19-35,Female,846624,55.53,4.85,3.12,Vaccination,46460.0,Yes,64.06,3928.0,3.21,93442.0,0.68,25.64 +4722,Mexico,2006,Hypertension,Autoimmune,6.73,7.93,7.43,61+,Male,901026,87.75,1.25,2.9,Therapy,38601.0,Yes,70.86,4268.0,2.42,71149.0,0.75,79.78 +4723,Argentina,2011,Leprosy,Autoimmune,19.87,2.47,8.82,36-60,Male,915877,77.29,1.0,5.61,Vaccination,44818.0,No,81.94,3522.0,1.1,9772.0,0.61,55.13 +4734,Indonesia,2013,HIV/AIDS,Infectious,10.45,10.99,3.59,61+,Male,651188,57.83,1.16,1.97,Therapy,19045.0,Yes,72.05,2392.0,0.94,61055.0,0.58,61.01 +4735,Italy,2018,Parkinson's Disease,Cardiovascular,19.88,10.71,1.29,36-60,Male,672356,98.6,3.88,0.79,Vaccination,15657.0,Yes,67.24,1848.0,9.04,21569.0,0.8,43.86 +4736,Indonesia,2022,Alzheimer's Disease,Genetic,6.17,1.53,7.17,19-35,Female,262500,79.43,1.72,6.03,Surgery,22741.0,Yes,71.85,1341.0,0.63,95633.0,0.47,70.26 +4741,Australia,2017,COVID-19,Genetic,2.55,9.44,2.39,0-18,Male,831801,83.48,0.72,5.08,Medication,37592.0,Yes,58.08,2511.0,0.36,52310.0,0.55,82.14 +4743,France,2005,Influenza,Infectious,6.09,10.08,0.35,19-35,Male,276523,86.12,2.42,8.04,Vaccination,30921.0,No,96.34,4238.0,4.7,9302.0,0.67,75.23 +4744,Brazil,2003,Parkinson's Disease,Viral,18.04,1.35,6.99,0-18,Male,916818,89.11,1.22,4.8,Surgery,33942.0,No,93.86,3484.0,0.56,53489.0,0.83,28.21 +4745,Mexico,2014,Hepatitis,Genetic,14.3,12.9,7.28,19-35,Other,834634,86.63,0.8,6.72,Surgery,39550.0,No,84.1,4754.0,2.02,72328.0,0.76,60.79 +4753,UK,2003,Cholera,Autoimmune,14.48,1.21,7.86,0-18,Other,76183,73.31,1.18,4.4,Therapy,14904.0,No,80.53,277.0,8.09,2969.0,0.41,57.48 +4754,Indonesia,2014,Diabetes,Chronic,11.35,12.81,6.96,61+,Other,56433,77.66,2.03,1.9,Medication,41560.0,No,79.32,4038.0,1.23,11431.0,0.87,24.04 +4763,Indonesia,2013,Malaria,Genetic,14.31,7.0,8.09,61+,Female,517042,93.77,3.76,3.6,Surgery,27765.0,No,85.08,2558.0,7.15,97817.0,0.58,23.66 +4775,Argentina,2011,Asthma,Infectious,5.36,1.13,5.39,0-18,Male,385194,74.59,4.21,0.84,Surgery,22794.0,Yes,80.8,4577.0,6.45,90399.0,0.75,37.4 +4779,Mexico,2019,Malaria,Infectious,11.78,5.32,3.46,19-35,Male,877580,78.98,3.13,5.63,Vaccination,45818.0,No,55.88,4892.0,6.37,16378.0,0.41,47.22 +4781,Nigeria,2004,Alzheimer's Disease,Parasitic,11.37,14.94,0.52,36-60,Female,474952,76.49,0.63,7.44,Therapy,7056.0,Yes,80.93,266.0,1.82,63827.0,0.47,40.29 +4782,Italy,2012,Alzheimer's Disease,Neurological,18.46,2.55,0.19,0-18,Male,186504,67.46,3.84,0.68,Therapy,41417.0,Yes,90.62,4906.0,4.53,83666.0,0.86,70.18 +4787,South Korea,2001,Ebola,Neurological,7.72,2.7,6.33,36-60,Other,348813,54.88,4.51,0.5,Vaccination,22927.0,Yes,71.26,2127.0,9.52,61876.0,0.64,56.91 +4793,Brazil,2010,Measles,Genetic,16.86,9.77,2.06,36-60,Other,895961,77.88,4.46,2.7,Vaccination,8281.0,No,86.93,4409.0,4.71,87688.0,0.45,56.83 +4800,Mexico,2018,Hypertension,Bacterial,18.76,2.79,8.13,61+,Female,186034,94.49,4.39,6.58,Surgery,47256.0,No,68.21,2864.0,0.13,57328.0,0.41,74.12 +4807,Russia,2020,Zika,Infectious,16.0,5.65,4.63,36-60,Male,542873,66.16,2.01,4.65,Medication,25859.0,No,92.51,669.0,4.71,9576.0,0.73,70.81 +4810,Japan,2022,Cancer,Autoimmune,12.92,8.14,9.12,19-35,Other,734718,73.63,4.26,9.66,Medication,24846.0,No,64.94,4850.0,2.93,74914.0,0.5,37.18 +4818,South Korea,2004,Rabies,Genetic,16.34,12.61,8.76,19-35,Other,362171,66.02,3.95,1.82,Medication,44664.0,No,66.01,4497.0,6.79,95685.0,0.44,72.71 +4820,Indonesia,2009,Diabetes,Neurological,10.85,11.9,9.76,19-35,Male,105046,68.83,2.03,8.73,Vaccination,36990.0,Yes,64.67,4527.0,7.71,18360.0,0.76,56.15 +4821,Russia,2013,Dengue,Metabolic,19.96,1.21,1.14,19-35,Other,108485,52.76,4.41,0.65,Therapy,3903.0,No,57.76,986.0,2.63,88010.0,0.7,87.32 +4822,Russia,2007,Ebola,Neurological,7.13,12.88,2.65,36-60,Other,845533,79.6,4.04,6.09,Therapy,16656.0,Yes,88.15,3913.0,3.42,26732.0,0.51,24.21 +4825,Nigeria,2017,Hypertension,Genetic,3.37,1.25,9.15,19-35,Male,120430,78.42,3.5,1.63,Medication,48222.0,No,83.55,1484.0,8.07,38656.0,0.76,54.26 +4826,India,2004,Dengue,Bacterial,4.22,12.92,8.26,0-18,Female,187634,50.65,2.33,0.53,Therapy,21451.0,Yes,82.91,2430.0,4.08,93247.0,0.5,37.15 +4833,Russia,2015,Leprosy,Bacterial,14.2,5.97,9.84,36-60,Female,687713,98.94,0.74,4.13,Medication,26618.0,No,87.49,3301.0,6.89,94033.0,0.73,32.58 +4837,Argentina,2020,Measles,Cardiovascular,9.73,6.63,0.51,36-60,Male,500878,85.31,3.03,8.3,Surgery,34638.0,Yes,65.53,1875.0,1.22,7294.0,0.4,31.1 +4838,Canada,2016,Rabies,Chronic,7.28,12.34,9.23,0-18,Male,474793,92.29,4.1,6.57,Surgery,5095.0,Yes,59.04,351.0,8.32,19780.0,0.88,58.52 +4845,Mexico,2019,Dengue,Parasitic,18.19,2.16,9.16,19-35,Other,286835,64.9,4.53,8.26,Medication,38941.0,Yes,96.05,3235.0,4.61,71653.0,0.64,67.75 +4847,Nigeria,2007,HIV/AIDS,Parasitic,2.85,12.27,6.05,0-18,Other,739120,82.29,0.84,2.87,Surgery,32931.0,No,81.73,4226.0,7.34,61849.0,0.73,88.54 +4856,USA,2019,Alzheimer's Disease,Autoimmune,11.34,4.64,6.23,61+,Other,154103,55.16,3.79,5.34,Medication,2829.0,No,95.51,213.0,4.95,45412.0,0.5,36.1 +4858,Japan,2007,Cancer,Infectious,14.24,13.95,5.82,19-35,Other,121819,53.1,1.67,3.45,Therapy,29643.0,No,90.42,2035.0,2.43,23083.0,0.79,45.3 +4859,Mexico,2015,COVID-19,Parasitic,1.49,11.73,4.89,0-18,Male,92491,57.63,4.45,5.05,Vaccination,33201.0,No,72.9,3415.0,4.18,43216.0,0.8,53.93 +4875,China,2012,Leprosy,Neurological,8.35,9.92,0.69,61+,Other,149108,97.58,0.89,6.85,Vaccination,14744.0,No,57.93,1969.0,0.43,62545.0,0.66,27.12 +4883,Germany,2009,Malaria,Metabolic,8.2,3.63,1.7,19-35,Female,198995,60.84,4.89,4.99,Therapy,28745.0,No,98.46,850.0,4.42,33320.0,0.58,89.98 +4885,Canada,2001,Dengue,Metabolic,9.48,0.72,4.01,36-60,Male,617696,88.91,3.91,9.89,Vaccination,43287.0,No,60.21,2818.0,6.89,83251.0,0.69,43.66 +4887,China,2009,Dengue,Respiratory,6.92,11.88,1.61,61+,Other,232605,70.5,3.42,4.23,Surgery,14769.0,Yes,95.79,2045.0,3.79,23379.0,0.75,75.52 +4889,Argentina,2020,Diabetes,Neurological,14.93,11.16,8.98,0-18,Other,8633,67.92,3.8,3.86,Vaccination,38041.0,No,94.09,258.0,7.62,36227.0,0.8,39.94 +4891,Canada,2015,Hepatitis,Neurological,12.94,7.1,6.45,19-35,Male,931644,69.75,4.33,6.03,Therapy,6185.0,Yes,88.4,3032.0,6.24,52585.0,0.77,53.29 +4895,Saudi Arabia,2005,Ebola,Parasitic,18.07,14.12,7.41,0-18,Male,377968,99.15,3.28,9.59,Surgery,8574.0,No,88.88,3081.0,1.82,38832.0,0.7,45.3 +4898,South Korea,2013,Parkinson's Disease,Respiratory,11.52,5.22,9.15,19-35,Male,434236,91.39,3.15,7.0,Surgery,6961.0,Yes,70.46,1105.0,3.96,81490.0,0.41,41.83 +4900,USA,2011,Cholera,Respiratory,11.92,14.19,5.3,36-60,Female,73183,69.29,1.69,4.25,Vaccination,38550.0,No,56.36,3130.0,6.77,29057.0,0.51,69.15 +4905,China,2011,Parkinson's Disease,Neurological,11.49,12.8,4.94,61+,Male,461872,99.62,4.32,3.08,Vaccination,48910.0,Yes,55.49,785.0,7.68,3311.0,0.46,51.79 +4909,Russia,2011,Hepatitis,Chronic,8.01,10.66,5.88,0-18,Other,53359,97.21,4.45,3.03,Medication,17199.0,No,90.29,3700.0,3.4,16536.0,0.69,37.38 +4910,Italy,2001,Alzheimer's Disease,Infectious,11.99,8.36,7.81,0-18,Other,325035,68.4,1.25,1.01,Therapy,38204.0,Yes,93.89,3662.0,4.85,85634.0,0.59,35.47 +4912,USA,2021,Hypertension,Bacterial,3.57,6.12,4.72,0-18,Male,265145,76.56,0.71,8.79,Vaccination,31276.0,Yes,66.75,4121.0,6.03,19264.0,0.55,72.46 +4915,UK,2007,Parkinson's Disease,Chronic,4.87,14.46,8.69,19-35,Female,772302,91.11,4.28,5.76,Vaccination,3363.0,Yes,96.82,1928.0,2.3,35767.0,0.45,49.52 +4922,South Africa,2007,Measles,Parasitic,9.4,9.29,6.66,36-60,Male,271993,50.28,4.84,9.11,Therapy,920.0,Yes,61.78,2899.0,5.0,40097.0,0.82,33.31 +4929,Germany,2007,Tuberculosis,Infectious,0.97,14.93,2.45,0-18,Other,150918,51.91,0.54,6.48,Medication,40196.0,Yes,71.22,3889.0,9.01,80243.0,0.67,44.24 +4931,South Africa,2008,Ebola,Respiratory,5.05,6.67,7.17,61+,Male,20958,60.39,4.43,6.17,Medication,24907.0,Yes,81.09,300.0,2.3,984.0,0.52,60.49 +4932,Germany,2006,Cholera,Autoimmune,17.98,0.44,5.08,0-18,Male,875729,84.24,3.5,9.19,Medication,42535.0,No,95.65,1910.0,6.73,42949.0,0.59,78.4 +4939,Italy,2004,Hypertension,Bacterial,8.99,2.64,8.55,19-35,Other,707214,52.13,4.99,4.3,Vaccination,19735.0,No,87.85,3810.0,1.56,53929.0,0.76,55.12 +4946,Turkey,2020,Hypertension,Metabolic,17.62,4.82,3.75,0-18,Female,912119,64.92,1.08,1.84,Therapy,18524.0,No,86.3,2808.0,6.25,7783.0,0.89,48.48 +4954,Brazil,2008,Hypertension,Chronic,1.73,6.29,0.64,0-18,Male,282054,59.32,1.36,5.73,Medication,8458.0,No,90.9,3754.0,1.64,47899.0,0.74,88.47 +4959,UK,2017,Leprosy,Genetic,0.52,10.64,6.57,36-60,Female,916792,51.31,3.08,1.61,Medication,33606.0,No,65.9,775.0,1.28,44306.0,0.79,38.05 +4965,Turkey,2016,Parkinson's Disease,Parasitic,12.29,13.8,9.94,61+,Male,274884,86.21,3.86,5.77,Surgery,18402.0,Yes,93.66,1745.0,0.85,94952.0,0.46,34.81 +4972,Russia,2005,Ebola,Respiratory,3.1,2.21,0.54,19-35,Female,821037,54.07,1.48,7.81,Surgery,12089.0,No,71.86,1067.0,1.91,87788.0,0.49,49.85 +4973,Nigeria,2011,Zika,Neurological,12.46,0.34,0.24,61+,Female,714166,57.35,3.7,9.59,Surgery,11570.0,No,72.04,4506.0,8.27,48452.0,0.8,78.86 +4978,UK,2010,Cancer,Chronic,7.66,7.62,7.33,61+,Other,314851,65.16,1.37,7.15,Medication,37421.0,Yes,54.8,4266.0,8.3,70791.0,0.79,73.29 +4979,Brazil,2003,Ebola,Parasitic,13.94,4.61,1.79,0-18,Other,800419,96.56,4.16,9.61,Therapy,7753.0,Yes,64.07,1179.0,7.77,669.0,0.83,49.1 +4983,India,2012,Rabies,Cardiovascular,11.07,8.51,1.94,36-60,Male,620303,97.84,3.01,7.13,Therapy,12587.0,Yes,75.98,930.0,5.24,90972.0,0.53,80.52 +5001,France,2015,Rabies,Chronic,15.99,12.89,7.17,36-60,Female,679852,92.73,4.39,1.52,Therapy,15457.0,Yes,56.23,1776.0,3.83,71407.0,0.64,30.01 +5021,Indonesia,2011,Diabetes,Bacterial,15.17,0.25,9.58,36-60,Male,219410,88.4,2.3,1.72,Therapy,1173.0,No,53.85,265.0,7.74,48807.0,0.9,62.41 +5026,UK,2001,Asthma,Bacterial,1.51,0.59,3.49,36-60,Other,178997,94.93,1.34,6.73,Medication,22151.0,No,82.27,3043.0,6.26,77250.0,0.61,45.41 +5031,Italy,2024,Rabies,Neurological,14.88,5.9,6.92,0-18,Other,250936,69.91,3.11,4.03,Therapy,43298.0,No,94.16,2021.0,3.86,82159.0,0.54,26.47 +5033,Indonesia,2019,COVID-19,Neurological,0.99,4.1,9.01,19-35,Other,600231,95.94,1.37,9.14,Vaccination,46269.0,Yes,97.64,4637.0,7.32,74192.0,0.73,83.43 +5036,Saudi Arabia,2018,Parkinson's Disease,Respiratory,9.97,4.46,1.57,19-35,Female,738369,99.36,3.39,7.43,Surgery,16492.0,Yes,92.95,172.0,0.98,94873.0,0.63,45.42 +5052,South Korea,2016,COVID-19,Genetic,0.35,4.24,4.63,36-60,Female,140332,80.98,1.85,9.04,Medication,5043.0,Yes,78.63,3665.0,4.49,89487.0,0.56,30.07 +5053,South Africa,2004,Tuberculosis,Viral,5.12,3.75,4.52,0-18,Female,680970,74.89,3.33,5.73,Surgery,435.0,No,90.71,4515.0,9.52,12974.0,0.77,77.73 +5054,Brazil,2018,Cancer,Bacterial,13.81,0.43,0.14,61+,Female,845059,60.95,4.85,9.59,Therapy,7902.0,No,95.12,193.0,5.65,16125.0,0.56,78.19 +5057,Australia,2017,Influenza,Metabolic,9.32,7.06,7.47,0-18,Male,398152,58.67,2.18,8.08,Medication,13291.0,No,53.44,719.0,2.73,31748.0,0.8,54.26 +5070,South Korea,2023,Hypertension,Genetic,12.82,2.56,8.02,0-18,Other,369003,68.33,1.58,2.28,Medication,32162.0,Yes,81.81,2379.0,0.01,12650.0,0.73,22.55 +5071,Brazil,2014,Zika,Cardiovascular,18.15,14.26,7.55,36-60,Female,113639,63.73,3.29,2.06,Medication,45722.0,No,91.86,555.0,1.14,9721.0,0.65,51.64 +5083,Japan,2020,Cholera,Respiratory,13.09,12.65,3.68,19-35,Female,514043,91.84,2.67,2.79,Therapy,19842.0,No,68.95,537.0,0.62,53638.0,0.57,70.31 +5084,USA,2016,Measles,Genetic,7.56,14.4,9.93,36-60,Female,239271,79.65,4.79,9.82,Medication,48445.0,No,67.83,4880.0,1.75,57990.0,0.74,68.56 +5089,Brazil,2022,Leprosy,Neurological,8.15,5.02,4.64,19-35,Other,960143,62.49,0.66,8.98,Surgery,1032.0,Yes,90.77,2051.0,6.49,70687.0,0.78,87.3 +5095,Indonesia,2014,Diabetes,Parasitic,11.31,11.64,5.01,61+,Male,696110,81.45,1.27,6.97,Therapy,3981.0,Yes,64.81,4777.0,5.58,56367.0,0.78,52.94 +5096,UK,2003,Dengue,Parasitic,9.12,14.75,4.96,0-18,Other,82336,74.15,4.07,0.83,Vaccination,13625.0,Yes,85.29,3303.0,4.28,96261.0,0.5,85.26 +5099,Australia,2016,Rabies,Viral,16.88,4.87,3.91,0-18,Other,730978,81.34,3.5,2.21,Surgery,32535.0,No,89.05,1289.0,3.42,71246.0,0.58,72.74 +5113,Turkey,2013,Dengue,Infectious,12.08,7.23,0.12,0-18,Other,565704,57.48,1.19,5.41,Therapy,32765.0,Yes,89.61,3384.0,5.06,31661.0,0.67,35.47 +5122,Brazil,2017,Influenza,Genetic,17.73,13.15,0.14,61+,Female,362735,51.8,1.45,7.96,Therapy,32841.0,No,96.19,4332.0,6.55,98719.0,0.63,78.89 +5128,Indonesia,2002,Cholera,Respiratory,6.4,5.65,4.57,0-18,Other,910192,72.36,1.57,1.67,Vaccination,16554.0,No,82.87,3805.0,5.91,43865.0,0.56,27.16 +5133,Italy,2024,Rabies,Viral,19.48,2.97,2.15,36-60,Other,977894,67.01,3.21,7.24,Surgery,49238.0,No,56.68,1991.0,2.13,710.0,0.6,20.84 +5134,Turkey,2001,Rabies,Parasitic,9.77,10.49,1.95,19-35,Male,585415,66.77,2.92,9.01,Vaccination,49313.0,No,66.11,2702.0,8.26,14325.0,0.75,85.03 +5137,Germany,2010,Diabetes,Respiratory,16.74,9.92,1.95,36-60,Other,341507,82.87,2.06,5.96,Therapy,438.0,No,61.32,2777.0,4.36,25802.0,0.57,43.32 +5149,UK,2008,Alzheimer's Disease,Bacterial,11.14,6.31,8.08,0-18,Other,929368,55.5,4.49,9.35,Medication,22546.0,Yes,79.1,3647.0,1.62,44974.0,0.88,61.65 +5150,Indonesia,2022,Influenza,Neurological,10.62,10.99,0.18,19-35,Female,914276,64.97,1.57,8.29,Medication,14242.0,Yes,58.99,522.0,9.97,67654.0,0.56,83.68 +5152,India,2002,Ebola,Parasitic,11.81,5.32,3.33,36-60,Female,837848,90.25,2.64,6.81,Therapy,2096.0,No,77.09,3177.0,1.64,34154.0,0.49,37.23 +5154,USA,2000,Ebola,Respiratory,1.72,2.8,0.8,61+,Other,15391,86.39,4.31,2.29,Medication,31915.0,No,52.64,894.0,6.03,13824.0,0.56,25.09 +5169,Mexico,2000,Asthma,Cardiovascular,7.36,8.37,2.48,36-60,Other,422016,69.7,0.66,1.57,Medication,49610.0,No,70.95,4654.0,0.29,27151.0,0.7,48.57 +5173,Argentina,2002,Influenza,Bacterial,14.53,4.27,0.95,0-18,Female,74248,91.94,0.98,6.06,Surgery,10346.0,No,87.97,3782.0,8.4,15531.0,0.49,69.6 +5175,Brazil,2015,Zika,Infectious,13.75,9.12,8.47,0-18,Male,938639,63.52,3.33,7.88,Medication,33136.0,No,74.54,1342.0,6.49,80257.0,0.66,27.97 +5178,Russia,2005,HIV/AIDS,Autoimmune,18.95,7.23,8.32,0-18,Male,346043,93.58,3.27,6.45,Vaccination,17116.0,Yes,91.11,4786.0,4.01,23236.0,0.79,69.04 +5180,Japan,2004,Cholera,Cardiovascular,2.88,12.92,8.96,0-18,Male,485127,51.76,1.41,3.0,Therapy,13089.0,No,54.17,4443.0,7.3,88487.0,0.68,25.29 +5184,Australia,2024,Influenza,Genetic,8.58,5.35,8.97,61+,Other,459980,90.04,4.25,2.69,Medication,3737.0,No,90.49,4366.0,4.04,56387.0,0.69,88.59 +5185,Canada,2001,Hepatitis,Parasitic,2.81,9.49,1.55,19-35,Female,709733,82.06,1.37,7.55,Surgery,18813.0,Yes,63.65,2010.0,9.23,41225.0,0.74,77.29 +5198,Argentina,2009,Measles,Neurological,18.5,10.57,5.35,61+,Other,985146,67.05,1.34,2.54,Therapy,42017.0,No,89.17,1661.0,4.55,82200.0,0.55,85.97 +5202,China,2019,Hypertension,Neurological,7.1,5.42,9.85,19-35,Male,382175,89.46,3.06,6.43,Vaccination,49518.0,Yes,94.85,1900.0,6.93,56218.0,0.89,85.65 +5205,Nigeria,2014,Cholera,Genetic,13.63,0.3,3.46,0-18,Male,992935,86.9,1.73,4.12,Therapy,13475.0,No,61.74,2475.0,1.86,4235.0,0.48,56.0 +5207,South Korea,2006,COVID-19,Autoimmune,7.86,10.62,8.62,0-18,Male,875250,62.69,1.35,1.33,Vaccination,36833.0,No,74.74,320.0,7.89,58592.0,0.66,87.31 +5208,Germany,2019,COVID-19,Infectious,13.59,7.06,9.91,19-35,Male,116115,66.21,2.46,2.67,Therapy,1849.0,Yes,54.44,4270.0,9.78,70106.0,0.86,43.9 +5213,Turkey,2017,Parkinson's Disease,Parasitic,17.06,8.51,4.06,0-18,Other,786265,65.02,0.79,7.12,Surgery,49669.0,No,95.05,2004.0,5.07,42702.0,0.44,35.17 +5222,South Africa,2016,Hypertension,Parasitic,4.7,4.65,9.4,61+,Female,499786,64.98,4.54,5.83,Vaccination,31087.0,Yes,75.14,3815.0,1.71,47579.0,0.75,56.37 +5228,Turkey,2007,Parkinson's Disease,Cardiovascular,13.01,10.82,3.84,0-18,Female,611239,92.55,3.22,1.27,Therapy,6205.0,Yes,94.39,3583.0,4.13,70802.0,0.73,22.59 +5230,Turkey,2024,Diabetes,Parasitic,16.3,3.57,4.21,61+,Female,151655,53.35,4.36,9.98,Vaccination,3708.0,No,97.97,4745.0,2.59,92597.0,0.72,23.5 +5232,Canada,2004,HIV/AIDS,Neurological,2.17,7.93,0.19,36-60,Male,530683,57.09,3.29,2.28,Therapy,46744.0,Yes,68.41,3198.0,3.27,50146.0,0.51,50.32 +5237,Indonesia,2013,Zika,Chronic,4.88,10.56,3.46,61+,Male,271682,75.15,2.12,3.96,Vaccination,25979.0,Yes,58.32,4777.0,4.44,77728.0,0.41,65.7 +5239,Nigeria,2014,Hepatitis,Autoimmune,11.21,2.86,3.69,0-18,Male,685352,63.07,0.85,1.76,Medication,2727.0,Yes,69.69,1985.0,4.2,61336.0,0.74,85.62 +5242,Australia,2020,Hepatitis,Parasitic,8.03,9.0,0.76,19-35,Other,521347,51.38,3.65,9.26,Vaccination,23831.0,No,87.77,848.0,6.13,72974.0,0.74,40.63 +5245,Argentina,2012,Polio,Viral,8.43,2.38,1.31,19-35,Male,263967,55.05,3.97,0.8,Vaccination,49972.0,No,88.83,2432.0,1.15,25688.0,0.54,46.65 +5246,Mexico,2009,Asthma,Genetic,8.17,8.62,7.49,61+,Other,807517,62.46,0.64,7.38,Surgery,21236.0,No,68.92,3604.0,1.19,23986.0,0.89,87.38 +5252,Turkey,2011,Measles,Genetic,8.63,9.78,9.75,0-18,Male,985423,85.74,3.03,5.39,Therapy,19382.0,No,57.92,4778.0,7.61,25955.0,0.6,57.35 +5260,Germany,2001,Polio,Bacterial,2.68,1.2,4.96,61+,Other,194359,88.45,4.8,8.57,Therapy,22860.0,Yes,68.2,37.0,1.58,49350.0,0.63,34.81 +5267,Argentina,2019,Parkinson's Disease,Chronic,18.81,3.94,5.41,61+,Female,624955,78.47,1.24,6.49,Vaccination,48919.0,Yes,72.77,85.0,6.92,99644.0,0.52,22.37 +5270,South Korea,2023,Cancer,Metabolic,13.25,5.68,3.91,36-60,Female,164296,53.98,1.01,6.6,Medication,36479.0,Yes,77.75,3111.0,7.86,3017.0,0.57,77.51 +5289,UK,2012,Zika,Neurological,8.31,14.1,0.95,36-60,Female,857837,68.85,4.54,9.74,Surgery,10884.0,Yes,57.84,4258.0,5.9,2610.0,0.67,39.82 +5291,USA,2017,Malaria,Genetic,14.02,7.0,2.02,0-18,Male,481361,57.87,2.64,6.1,Vaccination,17131.0,Yes,61.54,3376.0,0.43,69354.0,0.47,34.22 +5293,South Africa,2018,Zika,Infectious,13.36,12.59,5.83,36-60,Other,76501,50.1,1.13,2.14,Therapy,28355.0,No,89.54,1526.0,6.7,32327.0,0.52,22.59 +5296,Japan,2022,Hypertension,Viral,2.64,6.62,3.55,61+,Other,906133,94.64,3.73,8.32,Vaccination,17788.0,Yes,81.39,1742.0,7.28,84682.0,0.56,56.73 +5299,Indonesia,2016,Influenza,Genetic,12.36,13.43,7.0,19-35,Other,895858,50.28,3.05,9.84,Medication,46960.0,Yes,67.46,391.0,9.4,96064.0,0.47,34.52 +5300,USA,2016,Leprosy,Chronic,19.27,8.51,9.01,61+,Other,496924,54.54,4.97,5.15,Surgery,44792.0,No,74.81,2042.0,7.37,91096.0,0.87,50.36 +5301,Canada,2004,Alzheimer's Disease,Cardiovascular,5.13,13.55,7.01,19-35,Female,277451,61.41,1.64,5.28,Vaccination,26056.0,No,96.01,3932.0,0.42,98542.0,0.59,35.29 +5318,Argentina,2005,Parkinson's Disease,Metabolic,12.15,9.96,0.36,61+,Female,569355,80.21,1.43,4.5,Surgery,22448.0,Yes,96.99,443.0,8.42,39476.0,0.75,24.51 +5320,Saudi Arabia,2001,Asthma,Neurological,13.47,5.41,2.02,61+,Other,106039,91.18,1.52,7.25,Surgery,41037.0,No,69.28,2520.0,6.61,15964.0,0.85,50.83 +5322,UK,2005,Ebola,Genetic,14.95,4.82,3.3,36-60,Female,26533,89.56,1.21,8.43,Medication,42176.0,No,89.44,1735.0,9.48,3821.0,0.53,23.47 +5327,Argentina,2000,Influenza,Viral,5.35,13.04,5.09,19-35,Male,605748,69.04,3.55,1.35,Medication,44522.0,Yes,97.67,4599.0,9.18,48518.0,0.51,72.55 +5331,China,2015,Measles,Chronic,18.72,3.68,6.27,36-60,Other,480057,60.44,1.64,5.16,Surgery,15437.0,Yes,82.02,881.0,0.65,71033.0,0.45,24.39 +5336,China,2011,Malaria,Chronic,12.15,10.73,3.13,19-35,Other,790214,95.07,4.47,7.11,Vaccination,5972.0,No,60.92,677.0,0.18,59375.0,0.42,51.15 +5344,Canada,2019,Hepatitis,Parasitic,10.29,7.86,2.21,0-18,Female,336152,89.29,2.4,2.7,Therapy,48781.0,Yes,95.38,699.0,0.57,59957.0,0.61,65.56 +5346,China,2013,Measles,Cardiovascular,15.24,5.7,0.56,61+,Other,74148,83.44,3.35,8.21,Therapy,48309.0,Yes,78.34,4656.0,4.92,84303.0,0.74,67.54 +5351,Canada,2008,Cancer,Parasitic,0.92,11.9,3.83,0-18,Female,136444,69.94,2.41,5.01,Vaccination,4405.0,Yes,65.99,431.0,9.57,53857.0,0.47,62.37 +5356,Nigeria,2016,Tuberculosis,Cardiovascular,9.02,4.24,5.58,36-60,Female,384739,92.11,3.68,5.06,Therapy,8241.0,Yes,98.49,3874.0,0.0,5221.0,0.45,22.91 +5367,Australia,2015,Hypertension,Cardiovascular,9.31,10.2,8.58,61+,Female,771968,67.06,4.36,4.83,Medication,30807.0,No,66.25,1589.0,1.97,76938.0,0.85,50.21 +5371,Australia,2011,Rabies,Metabolic,6.01,10.99,5.24,36-60,Other,261571,57.54,1.19,6.82,Surgery,46587.0,Yes,57.22,793.0,9.31,79933.0,0.61,67.67 +5373,USA,2014,Cancer,Genetic,13.88,0.16,8.06,19-35,Male,784590,60.54,3.24,2.22,Medication,37056.0,No,54.25,1603.0,4.75,24290.0,0.77,53.48 +5379,South Korea,2006,Rabies,Viral,18.64,4.09,9.43,19-35,Other,420344,94.56,1.82,2.97,Vaccination,22826.0,Yes,51.56,302.0,6.7,19519.0,0.59,65.14 +5387,Saudi Arabia,2019,HIV/AIDS,Chronic,12.84,11.96,1.5,61+,Other,977579,78.75,4.73,8.42,Vaccination,22172.0,No,58.14,4378.0,0.92,11599.0,0.63,86.14 +5391,Germany,2012,Diabetes,Metabolic,19.93,9.62,7.64,19-35,Female,883447,99.83,3.29,9.54,Therapy,10348.0,No,70.9,2478.0,1.36,44641.0,0.65,22.77 +5399,Australia,2005,Alzheimer's Disease,Genetic,0.65,6.25,4.19,19-35,Male,838491,95.48,2.95,4.06,Vaccination,5920.0,Yes,95.52,1693.0,6.34,58887.0,0.44,48.59 +5402,Nigeria,2017,Zika,Bacterial,19.07,6.77,2.8,19-35,Other,566648,54.07,1.8,4.51,Medication,17609.0,No,90.62,1063.0,0.77,98403.0,0.48,24.75 +5403,India,2009,Tuberculosis,Neurological,4.03,4.3,6.4,61+,Male,681192,78.84,2.9,4.32,Therapy,5965.0,No,84.17,3272.0,0.78,14788.0,0.74,86.62 +5405,Canada,2022,Alzheimer's Disease,Cardiovascular,12.42,9.9,8.86,0-18,Other,366617,75.59,3.96,2.68,Surgery,23950.0,Yes,83.98,2207.0,9.03,38244.0,0.68,74.43 +5412,Nigeria,2014,Dengue,Viral,15.85,2.78,0.47,0-18,Other,308224,61.77,4.2,3.04,Surgery,37915.0,No,81.02,1882.0,5.25,66577.0,0.57,58.88 +5417,Nigeria,2005,Malaria,Metabolic,7.33,10.8,5.99,0-18,Female,774568,77.13,3.61,7.17,Surgery,19802.0,Yes,68.85,3128.0,8.89,32766.0,0.41,77.72 +5424,Argentina,2001,Diabetes,Neurological,16.44,13.55,9.21,19-35,Female,708002,79.98,4.92,3.28,Therapy,21571.0,No,88.83,3789.0,1.58,46118.0,0.79,83.06 +5427,Germany,2008,Leprosy,Autoimmune,4.58,14.59,3.97,36-60,Other,762362,63.56,2.97,8.87,Medication,18250.0,No,97.19,319.0,6.88,95279.0,0.79,43.76 +5431,India,2013,Ebola,Chronic,17.04,9.73,4.27,36-60,Other,27247,81.46,3.53,7.89,Therapy,33982.0,No,85.78,969.0,1.85,51646.0,0.83,85.02 +5433,Japan,2010,Alzheimer's Disease,Infectious,10.29,13.81,8.92,0-18,Female,713299,80.63,4.31,1.05,Medication,9008.0,No,66.96,969.0,7.2,76910.0,0.79,41.65 +5455,Mexico,2011,Polio,Respiratory,6.19,13.79,1.88,61+,Female,696229,65.28,4.33,1.97,Therapy,45786.0,No,64.82,4428.0,4.69,96807.0,0.63,88.87 +5458,Germany,2016,Cancer,Bacterial,15.02,3.45,8.6,61+,Other,433741,62.01,3.9,1.94,Surgery,28209.0,No,72.25,2460.0,6.26,83383.0,0.82,75.31 +5460,Russia,2000,Dengue,Bacterial,19.81,10.34,1.64,61+,Male,618894,91.92,1.46,5.02,Medication,10447.0,No,64.18,1876.0,5.88,58572.0,0.71,76.44 +5464,Italy,2007,Malaria,Respiratory,8.1,0.49,3.24,61+,Male,760881,54.72,2.97,1.15,Therapy,47936.0,No,97.87,3318.0,1.79,23249.0,0.4,87.75 +5468,China,2006,Hepatitis,Cardiovascular,2.91,13.2,7.16,36-60,Other,209107,84.6,3.03,8.67,Surgery,12701.0,Yes,82.39,4105.0,9.74,39391.0,0.63,82.54 +5470,Argentina,2015,Rabies,Infectious,7.09,14.23,9.56,0-18,Other,425812,79.56,3.7,2.28,Surgery,9300.0,No,76.83,4675.0,0.36,86916.0,0.68,65.29 +5476,Italy,2020,HIV/AIDS,Parasitic,13.38,7.72,4.91,19-35,Male,365942,53.79,1.43,6.32,Medication,44143.0,Yes,97.02,2072.0,1.59,65240.0,0.83,22.6 +5487,Indonesia,2017,Hepatitis,Metabolic,15.35,8.85,5.77,0-18,Male,358965,84.44,4.08,6.63,Vaccination,33319.0,No,73.8,1815.0,7.73,93695.0,0.47,48.46 +5489,USA,2002,Asthma,Neurological,17.58,5.69,2.44,36-60,Other,205212,60.16,0.52,1.54,Surgery,23376.0,No,89.09,3994.0,5.41,43286.0,0.6,77.87 +5493,South Africa,2004,Hepatitis,Chronic,15.24,12.0,1.6,0-18,Male,726741,66.67,1.56,7.14,Medication,17294.0,No,93.65,1665.0,7.79,35005.0,0.41,75.72 +5496,Indonesia,2002,Rabies,Cardiovascular,9.31,11.54,5.26,36-60,Other,933663,51.62,4.95,7.93,Therapy,25347.0,Yes,95.61,441.0,1.71,68014.0,0.49,86.06 +5497,Mexico,2021,Diabetes,Autoimmune,11.52,4.3,1.81,36-60,Male,690959,76.23,2.05,4.44,Therapy,30161.0,Yes,94.62,4564.0,4.71,46871.0,0.66,24.65 +5499,Germany,2001,Cholera,Parasitic,9.09,14.07,0.39,61+,Male,338873,86.92,4.34,4.9,Vaccination,39710.0,No,75.97,1469.0,1.45,43358.0,0.73,87.21 +5506,Argentina,2011,Tuberculosis,Respiratory,5.43,12.68,4.52,0-18,Male,669380,54.2,2.73,4.01,Therapy,19006.0,Yes,70.37,1091.0,5.04,9508.0,0.43,56.21 +5510,Russia,2006,Leprosy,Parasitic,18.31,1.06,2.4,36-60,Female,318362,66.68,3.74,7.74,Vaccination,16144.0,Yes,69.28,516.0,1.25,3518.0,0.64,67.8 +5522,South Africa,2013,COVID-19,Parasitic,11.74,2.74,0.73,0-18,Male,981126,98.95,2.87,5.57,Vaccination,48728.0,Yes,68.44,2974.0,6.33,52747.0,0.58,39.91 +5524,Argentina,2014,Alzheimer's Disease,Autoimmune,9.77,2.8,2.45,36-60,Other,654666,98.5,2.41,5.06,Vaccination,1162.0,No,86.67,4012.0,1.8,92918.0,0.74,53.18 +5528,Brazil,2014,Polio,Metabolic,17.46,10.34,1.74,36-60,Female,477583,99.38,2.98,8.2,Vaccination,9858.0,Yes,96.02,326.0,2.96,37954.0,0.83,76.71 +5539,UK,2015,Cholera,Respiratory,7.96,7.8,5.66,61+,Male,389582,85.86,2.4,4.4,Medication,15613.0,Yes,89.98,1934.0,2.94,52046.0,0.44,45.57 +5553,France,2015,Zika,Parasitic,9.41,14.04,6.68,61+,Female,44437,50.9,0.93,4.09,Medication,48358.0,No,92.14,1443.0,3.68,67746.0,0.69,53.27 +5561,France,2018,Alzheimer's Disease,Infectious,7.73,7.1,1.66,61+,Female,599916,92.05,0.87,0.95,Surgery,21703.0,No,68.06,4224.0,8.56,1151.0,0.66,88.74 +5565,UK,2017,HIV/AIDS,Parasitic,1.56,8.71,6.38,61+,Female,8073,58.38,0.6,8.33,Vaccination,44509.0,Yes,86.07,3003.0,2.22,48192.0,0.79,46.8 +5571,Brazil,2002,Hepatitis,Autoimmune,7.08,0.99,6.37,61+,Female,979561,82.08,3.6,4.74,Therapy,43742.0,Yes,74.96,2020.0,1.26,36865.0,0.77,23.84 +5575,USA,2009,Influenza,Parasitic,18.03,2.96,4.8,19-35,Other,339041,79.49,1.52,3.23,Therapy,31086.0,Yes,72.84,11.0,4.38,42007.0,0.77,60.54 +5579,Argentina,2008,Diabetes,Bacterial,14.88,6.46,0.77,19-35,Other,810380,72.26,1.19,6.81,Therapy,8772.0,No,55.38,4633.0,9.82,92747.0,0.48,82.3 +5580,Nigeria,2003,Parkinson's Disease,Bacterial,13.83,14.77,8.26,36-60,Other,138751,95.31,3.81,9.0,Vaccination,31241.0,Yes,84.12,4949.0,4.18,4202.0,0.74,73.62 +5591,India,2024,Measles,Metabolic,6.28,11.97,8.56,61+,Other,890679,73.14,2.32,3.13,Therapy,28420.0,No,81.64,1709.0,5.85,37887.0,0.67,71.9 +5592,Brazil,2011,Zika,Viral,0.67,14.67,2.46,0-18,Female,445981,77.13,1.3,7.59,Surgery,22390.0,Yes,75.19,3597.0,4.61,69771.0,0.7,26.33 +5612,Germany,2007,Measles,Cardiovascular,0.9,6.51,8.92,19-35,Female,958699,52.03,4.97,4.3,Vaccination,32723.0,Yes,61.85,4826.0,2.05,14267.0,0.88,37.15 +5613,Argentina,2024,Asthma,Neurological,7.44,4.96,1.24,0-18,Female,873229,50.11,2.63,7.7,Medication,28896.0,Yes,70.6,513.0,2.8,1964.0,0.89,54.14 +5623,China,2024,Leprosy,Autoimmune,2.61,8.21,8.75,19-35,Male,104643,68.25,3.04,5.77,Therapy,1868.0,Yes,95.56,1475.0,4.86,65045.0,0.83,29.49 +5627,Canada,2023,Influenza,Cardiovascular,12.35,8.41,8.41,36-60,Female,489148,86.54,3.94,7.79,Therapy,7132.0,Yes,85.29,1746.0,0.49,87648.0,0.72,80.19 +5633,Mexico,2005,Tuberculosis,Respiratory,14.91,13.77,9.33,36-60,Other,656837,60.4,3.79,7.23,Medication,9303.0,Yes,73.86,3117.0,0.52,99448.0,0.81,24.06 +5639,Indonesia,2019,COVID-19,Infectious,3.11,11.02,3.83,19-35,Male,685241,65.34,4.66,6.95,Vaccination,16461.0,Yes,98.23,3760.0,4.97,54887.0,0.78,70.55 +5642,China,2015,Rabies,Bacterial,9.1,4.02,3.35,61+,Male,632085,72.09,4.49,1.88,Vaccination,6969.0,No,90.8,4832.0,2.13,82583.0,0.46,86.48 +5646,Turkey,2004,Asthma,Bacterial,19.65,5.14,4.41,36-60,Female,281683,51.79,2.29,3.86,Medication,11598.0,No,92.18,974.0,5.23,56123.0,0.69,44.76 +5649,South Africa,2001,Parkinson's Disease,Parasitic,3.22,14.17,3.76,36-60,Other,381757,78.35,1.46,8.86,Vaccination,4186.0,Yes,95.94,4407.0,0.74,29307.0,0.41,45.79 +5650,Canada,2015,Ebola,Infectious,7.28,12.25,1.03,19-35,Other,46850,98.78,3.65,6.52,Medication,13134.0,Yes,93.63,3842.0,0.02,15221.0,0.89,23.56 +5656,Mexico,2015,Rabies,Viral,1.78,12.43,9.46,36-60,Female,899257,72.96,1.76,3.14,Vaccination,1039.0,Yes,79.57,3943.0,9.69,50738.0,0.79,68.0 +5661,Mexico,2022,Diabetes,Viral,0.32,14.11,5.3,36-60,Other,653030,62.95,3.67,7.07,Vaccination,39945.0,No,80.31,3262.0,3.79,80284.0,0.69,64.18 +5668,UK,2005,HIV/AIDS,Chronic,17.64,6.04,6.06,19-35,Other,702518,90.01,3.5,3.77,Medication,1263.0,Yes,66.22,3007.0,3.77,51871.0,0.75,62.06 +5669,Germany,2014,Ebola,Viral,3.57,3.02,5.33,19-35,Other,32383,81.48,4.87,6.12,Vaccination,5216.0,No,78.08,2580.0,9.54,12726.0,0.58,62.54 +5671,South Africa,2016,Alzheimer's Disease,Parasitic,6.41,2.74,5.09,0-18,Male,176301,69.92,4.97,0.98,Therapy,2566.0,Yes,84.24,395.0,2.05,22602.0,0.7,27.08 +5675,Mexico,2023,Dengue,Infectious,0.48,11.81,0.57,61+,Female,585339,65.75,1.57,9.63,Medication,45797.0,No,98.5,2022.0,9.4,29122.0,0.68,23.64 +5676,Saudi Arabia,2005,Polio,Cardiovascular,3.08,14.55,5.23,36-60,Other,570748,54.03,4.59,8.29,Medication,38948.0,No,96.15,1301.0,3.04,41450.0,0.45,55.2 +5681,UK,2017,Measles,Bacterial,10.71,6.14,2.14,0-18,Male,379632,69.28,0.91,3.07,Surgery,8317.0,No,85.08,295.0,7.34,39823.0,0.68,21.39 +5685,Saudi Arabia,2013,Zika,Respiratory,17.73,1.9,4.86,19-35,Other,123359,54.44,2.89,9.64,Therapy,14821.0,Yes,66.9,2006.0,9.15,73060.0,0.54,62.71 +5687,China,2000,HIV/AIDS,Bacterial,15.14,2.91,0.3,0-18,Other,895645,92.75,1.27,4.6,Surgery,5808.0,No,95.09,1188.0,0.44,42048.0,0.66,20.75 +5688,Australia,2010,Measles,Respiratory,14.36,13.68,9.05,36-60,Male,230543,97.44,3.04,1.77,Medication,40665.0,Yes,92.11,4839.0,7.06,90065.0,0.68,20.45 +5691,China,2011,Hepatitis,Chronic,18.53,8.88,7.21,19-35,Other,969145,66.99,1.7,6.54,Therapy,49524.0,No,84.09,1520.0,0.16,87831.0,0.53,38.49 +5695,India,2005,Malaria,Autoimmune,2.6,5.26,4.02,61+,Male,549821,75.04,4.99,2.43,Medication,19375.0,Yes,78.94,4693.0,8.52,54504.0,0.45,53.92 +5699,China,2004,Cancer,Viral,11.78,12.54,3.7,0-18,Other,204640,99.94,1.98,8.26,Therapy,15580.0,Yes,64.63,2302.0,9.75,98203.0,0.51,34.9 +5701,Russia,2012,COVID-19,Respiratory,13.5,1.21,5.75,19-35,Other,876441,62.22,1.79,1.54,Therapy,18936.0,No,65.25,4895.0,9.74,59512.0,0.85,83.89 +5706,Canada,2004,Ebola,Infectious,2.84,2.95,4.48,36-60,Male,426532,89.14,3.21,2.11,Surgery,47566.0,Yes,77.43,88.0,8.56,43898.0,0.42,26.72 +5717,France,2003,Cholera,Cardiovascular,17.9,1.64,0.81,0-18,Other,411694,91.29,4.88,1.69,Medication,30686.0,No,63.98,3899.0,6.98,66546.0,0.77,89.68 +5722,Germany,2013,Parkinson's Disease,Autoimmune,14.28,9.09,3.1,36-60,Male,381863,72.34,1.16,3.59,Vaccination,44825.0,No,96.73,1194.0,2.23,15332.0,0.64,25.97 +5724,France,2003,Leprosy,Bacterial,4.28,0.87,2.35,36-60,Other,504984,95.31,2.02,9.71,Therapy,45452.0,Yes,95.24,573.0,9.18,87268.0,0.75,36.84 +5733,Italy,2024,Hepatitis,Infectious,0.6,13.27,1.38,61+,Male,562982,83.12,4.85,1.06,Therapy,21292.0,No,70.93,3897.0,0.63,61081.0,0.84,82.9 +5739,India,2014,Diabetes,Viral,18.2,3.19,1.68,61+,Female,233687,56.59,2.03,2.05,Therapy,35448.0,No,50.93,1767.0,2.97,71599.0,0.6,64.88 +5743,Brazil,2005,Parkinson's Disease,Respiratory,6.8,12.58,8.1,61+,Male,260293,78.22,3.76,5.99,Medication,38619.0,Yes,59.96,689.0,2.46,60808.0,0.86,69.7 +5746,Canada,2010,Dengue,Genetic,8.81,11.96,7.39,36-60,Other,214005,73.35,0.67,5.27,Therapy,31618.0,No,66.17,831.0,8.99,51049.0,0.82,71.94 +5749,Australia,2002,Dengue,Autoimmune,13.16,6.39,5.24,0-18,Other,594892,67.76,2.45,7.11,Surgery,21600.0,Yes,95.82,3221.0,7.32,55660.0,0.62,37.3 +5752,Australia,2008,Cancer,Autoimmune,8.78,13.9,3.43,61+,Female,776063,77.91,4.65,8.32,Vaccination,44502.0,Yes,53.25,1489.0,3.66,51630.0,0.52,41.58 +5756,UK,2008,Alzheimer's Disease,Autoimmune,14.51,5.01,4.48,36-60,Male,57229,88.03,3.24,8.76,Vaccination,17584.0,Yes,58.38,1769.0,9.43,70223.0,0.51,28.65 +5765,Italy,2016,Hypertension,Respiratory,17.66,6.54,3.45,36-60,Other,740960,69.34,0.78,6.14,Surgery,11602.0,No,67.77,3127.0,2.21,46650.0,0.7,20.31 +5775,USA,2009,Ebola,Autoimmune,9.44,3.84,7.18,19-35,Other,923082,78.63,3.79,5.08,Therapy,7068.0,No,75.59,19.0,6.62,48847.0,0.77,37.36 +5776,Argentina,2023,Cancer,Autoimmune,19.7,14.41,8.85,61+,Other,589726,82.74,4.32,8.39,Medication,37322.0,Yes,67.07,4770.0,6.81,31017.0,0.49,34.81 +5781,Germany,2024,Hepatitis,Respiratory,12.22,5.38,9.32,19-35,Other,899210,81.1,0.97,1.77,Medication,3844.0,No,86.49,212.0,9.64,85499.0,0.44,82.61 +5785,Brazil,2010,Influenza,Viral,13.36,11.03,3.64,36-60,Other,825001,50.68,2.32,1.34,Medication,15641.0,Yes,54.33,4083.0,8.5,78742.0,0.81,87.59 +5786,Indonesia,2013,Parkinson's Disease,Bacterial,19.6,4.21,2.3,0-18,Male,517695,52.38,2.15,7.46,Vaccination,47377.0,Yes,88.54,1628.0,4.79,75188.0,0.72,56.01 +5789,Russia,2019,Tuberculosis,Chronic,2.41,1.68,4.73,61+,Female,699682,89.8,3.15,1.56,Surgery,45395.0,Yes,70.59,2486.0,4.16,76430.0,0.48,89.07 +5793,Nigeria,2024,Measles,Viral,2.73,1.15,5.28,0-18,Other,162030,97.54,0.9,3.24,Surgery,25247.0,Yes,79.39,3124.0,7.53,85219.0,0.79,53.59 +5797,Saudi Arabia,2021,Cancer,Metabolic,7.76,1.89,4.18,61+,Female,971934,50.75,1.57,1.02,Therapy,38989.0,Yes,82.35,2127.0,3.04,68363.0,0.72,77.82 +5816,Turkey,2004,Cholera,Viral,15.86,10.84,8.0,0-18,Other,507821,91.27,2.6,5.49,Vaccination,13920.0,No,60.07,2798.0,2.28,11482.0,0.69,74.8 +5822,Japan,2008,Hypertension,Chronic,10.99,12.61,9.83,0-18,Other,928106,73.74,3.9,6.4,Therapy,35493.0,Yes,86.68,2790.0,5.63,28803.0,0.43,41.49 +5823,UK,2007,HIV/AIDS,Autoimmune,4.07,14.24,7.74,36-60,Other,480416,94.78,1.15,0.68,Surgery,28184.0,No,79.89,4854.0,6.12,91822.0,0.65,67.22 +5828,Germany,2018,HIV/AIDS,Infectious,19.71,4.23,1.85,19-35,Female,876973,71.11,2.96,9.89,Medication,25747.0,No,56.43,4448.0,9.53,744.0,0.56,25.49 +5835,Canada,2012,Polio,Viral,7.01,8.59,7.33,36-60,Male,587473,62.39,2.33,1.14,Vaccination,28234.0,Yes,68.2,373.0,2.58,80090.0,0.84,30.86 +5840,Argentina,2005,Diabetes,Infectious,17.59,10.89,8.29,19-35,Other,80759,78.41,1.47,4.35,Medication,37687.0,Yes,58.41,4605.0,1.02,51091.0,0.47,56.26 +5844,Germany,2022,Asthma,Cardiovascular,16.16,8.34,1.62,36-60,Other,438385,64.54,2.24,5.63,Vaccination,526.0,No,53.32,1412.0,3.32,23139.0,0.87,54.08 +5848,Canada,2010,Hepatitis,Metabolic,17.53,13.18,4.18,19-35,Male,876769,62.8,2.49,5.74,Vaccination,10709.0,No,90.49,3693.0,9.89,8783.0,0.79,72.79 +5854,Indonesia,2005,Dengue,Metabolic,13.05,10.21,8.26,0-18,Male,405004,84.34,3.44,3.31,Medication,30750.0,No,96.45,3925.0,1.62,15394.0,0.63,59.95 +5855,Canada,2024,Dengue,Parasitic,16.06,3.25,6.74,61+,Male,67079,98.15,1.23,4.3,Therapy,41273.0,No,78.77,4139.0,7.88,98469.0,0.72,66.43 +5856,UK,2015,Malaria,Autoimmune,3.3,7.78,5.55,61+,Female,676001,60.13,2.84,6.91,Medication,22089.0,Yes,66.21,980.0,4.18,68786.0,0.52,45.61 +5862,Italy,2004,Rabies,Neurological,17.91,5.97,8.18,61+,Male,546126,87.98,0.97,9.85,Medication,29985.0,No,55.48,1789.0,2.89,13351.0,0.87,85.29 +5867,Argentina,2001,Ebola,Viral,8.58,3.2,8.59,61+,Male,873378,90.39,2.47,6.81,Medication,21591.0,Yes,63.77,4890.0,6.51,70798.0,0.49,31.49 +5872,UK,2001,HIV/AIDS,Cardiovascular,6.22,14.28,3.06,36-60,Female,819563,81.0,3.45,9.75,Medication,21193.0,Yes,86.59,3239.0,8.52,49732.0,0.6,45.1 +5878,China,2017,Dengue,Cardiovascular,14.2,14.31,6.42,0-18,Female,101466,80.58,1.15,9.24,Vaccination,9182.0,Yes,69.92,1516.0,8.24,84417.0,0.41,71.44 +5892,Argentina,2004,Measles,Viral,0.94,5.39,7.63,36-60,Male,201401,50.6,2.09,8.95,Medication,1241.0,Yes,60.9,1098.0,5.36,34844.0,0.58,65.27 +5899,South Korea,2006,Tuberculosis,Metabolic,1.47,0.17,9.78,36-60,Male,721146,78.2,2.5,9.03,Medication,1542.0,No,95.89,1980.0,8.09,40307.0,0.6,86.97 +5910,Indonesia,2008,Zika,Genetic,3.87,9.71,9.43,0-18,Other,701127,64.11,3.41,4.98,Medication,34387.0,Yes,97.79,3317.0,4.19,55497.0,0.73,60.06 +5915,Canada,2009,HIV/AIDS,Infectious,8.35,5.5,4.17,36-60,Female,440621,84.82,4.41,8.57,Vaccination,20127.0,Yes,87.87,2935.0,5.88,18106.0,0.76,73.05 +5920,Germany,2015,COVID-19,Chronic,2.11,14.47,3.76,19-35,Male,1108,81.97,4.96,6.53,Surgery,3414.0,Yes,56.57,3130.0,8.02,47161.0,0.48,36.83 +5927,Canada,2001,Polio,Respiratory,16.48,3.08,0.52,61+,Female,304919,67.57,2.22,6.76,Surgery,43100.0,Yes,84.82,1047.0,3.98,16337.0,0.48,23.01 +5929,Canada,2024,Ebola,Autoimmune,12.29,5.1,6.97,61+,Other,89347,54.95,3.75,4.66,Surgery,7419.0,Yes,85.95,2783.0,6.89,62070.0,0.59,27.7 +5930,Argentina,2022,Polio,Viral,6.26,10.88,1.69,19-35,Male,419225,56.5,2.0,1.91,Medication,48152.0,Yes,64.13,2008.0,7.49,80968.0,0.81,49.94 +5937,Germany,2005,Measles,Genetic,12.72,10.17,0.62,36-60,Female,465187,77.01,2.83,4.44,Surgery,30449.0,No,78.42,4957.0,1.04,80210.0,0.72,44.68 +5940,Canada,2021,Hepatitis,Bacterial,15.08,7.55,8.87,36-60,Female,504878,62.16,1.72,3.57,Therapy,41605.0,No,54.42,109.0,9.55,67368.0,0.68,30.1 +5942,South Korea,2003,Zika,Genetic,12.91,3.11,3.38,36-60,Male,632309,74.45,1.11,5.15,Surgery,1907.0,No,74.71,1466.0,9.78,62077.0,0.83,54.35 +5947,China,2007,Hypertension,Autoimmune,11.92,0.88,3.89,19-35,Other,795021,87.56,4.5,8.19,Therapy,18986.0,No,53.23,1054.0,0.69,97421.0,0.44,42.75 +5950,Australia,2019,Hypertension,Genetic,8.75,2.04,6.02,0-18,Male,395900,65.95,4.56,4.74,Vaccination,1458.0,Yes,89.74,100.0,2.15,11507.0,0.63,24.54 +5955,China,2016,Asthma,Cardiovascular,4.76,4.11,2.53,19-35,Male,224956,71.94,1.27,9.97,Medication,7996.0,No,62.19,2306.0,3.23,52656.0,0.76,36.07 +5969,Indonesia,2014,COVID-19,Metabolic,10.39,3.69,4.89,0-18,Male,157149,66.93,4.06,2.6,Therapy,28781.0,Yes,76.64,3454.0,8.78,43163.0,0.75,84.96 +5974,South Korea,2022,Diabetes,Cardiovascular,5.5,7.14,2.57,0-18,Male,889852,73.08,4.45,9.8,Medication,23756.0,No,93.58,1719.0,9.64,45252.0,0.48,34.08 +5975,USA,2020,Zika,Cardiovascular,11.93,1.71,3.35,19-35,Other,937845,67.75,1.66,3.17,Surgery,24371.0,Yes,93.64,1051.0,8.79,35333.0,0.55,77.81 +5978,Germany,2013,Malaria,Neurological,13.82,1.84,8.04,19-35,Other,127948,55.34,4.72,9.92,Vaccination,47866.0,Yes,52.34,1915.0,0.71,81054.0,0.81,40.13 +5985,USA,2024,Zika,Neurological,12.53,8.73,5.09,36-60,Male,210364,93.78,1.21,8.01,Therapy,47474.0,No,61.08,2548.0,8.15,83146.0,0.77,54.53 +5986,Japan,2024,Influenza,Viral,6.63,13.8,3.63,36-60,Male,962735,69.24,3.7,3.04,Medication,30194.0,Yes,56.24,695.0,6.11,48539.0,0.57,77.26 +5988,Nigeria,2013,Diabetes,Cardiovascular,1.69,5.17,5.49,36-60,Female,674602,94.03,0.69,5.68,Medication,15897.0,No,76.62,177.0,0.41,96903.0,0.83,73.61 +5990,South Korea,2017,Alzheimer's Disease,Viral,17.09,6.19,6.88,19-35,Male,360058,98.88,3.0,9.89,Therapy,19099.0,No,64.39,2467.0,2.86,59676.0,0.83,49.61 +5998,Mexico,2022,Measles,Genetic,11.1,9.91,8.0,61+,Male,193289,94.33,2.22,2.97,Medication,43095.0,Yes,98.42,2046.0,7.56,43394.0,0.41,60.79 +6004,Turkey,2017,Influenza,Autoimmune,4.68,9.78,6.2,0-18,Male,573526,56.37,2.99,0.65,Surgery,6082.0,No,50.23,2511.0,1.97,77514.0,0.4,67.3 +6010,Mexico,2021,Cancer,Genetic,5.58,7.65,0.22,0-18,Other,291414,69.49,1.19,1.39,Surgery,28960.0,No,57.26,4681.0,9.57,23912.0,0.53,45.78 +6018,Russia,2020,HIV/AIDS,Infectious,8.06,7.08,7.26,19-35,Male,996475,74.35,2.55,5.12,Vaccination,9074.0,No,73.72,4370.0,0.85,29853.0,0.53,78.08 +6020,Mexico,2017,Influenza,Neurological,14.34,11.89,7.08,19-35,Female,158937,86.2,3.39,8.51,Vaccination,37253.0,Yes,84.57,2328.0,5.95,20084.0,0.87,69.46 +6021,Canada,2000,Asthma,Infectious,18.66,2.66,6.65,36-60,Male,853681,71.86,1.66,7.09,Medication,4452.0,No,89.22,2775.0,5.28,45480.0,0.72,55.24 +6022,Italy,2018,Hypertension,Viral,3.12,9.14,5.07,0-18,Other,114081,79.04,2.58,3.5,Vaccination,45256.0,No,50.65,2207.0,8.86,84893.0,0.68,53.58 +6025,Japan,2001,Malaria,Infectious,5.06,4.1,4.84,19-35,Other,190703,54.94,4.56,6.94,Therapy,45522.0,No,57.27,4172.0,2.66,34676.0,0.81,25.56 +6029,Turkey,2003,Hypertension,Respiratory,9.79,7.76,4.15,36-60,Female,774697,65.2,4.45,6.32,Medication,6721.0,No,68.81,1281.0,1.09,55287.0,0.52,48.46 +6037,Nigeria,2023,Zika,Infectious,7.7,3.37,1.31,61+,Female,864679,63.44,4.15,3.57,Vaccination,39533.0,No,77.23,211.0,1.24,58949.0,0.44,20.04 +6038,Argentina,2005,Diabetes,Bacterial,1.62,0.34,1.77,36-60,Male,62401,64.66,4.83,9.75,Medication,39941.0,No,58.87,1637.0,7.81,71026.0,0.84,37.09 +6040,Indonesia,2006,Diabetes,Bacterial,15.96,1.56,0.35,19-35,Other,678532,66.21,4.93,3.37,Surgery,28071.0,Yes,77.36,1496.0,5.84,13110.0,0.6,59.56 +6044,Japan,2013,Rabies,Genetic,4.05,6.25,5.92,61+,Other,635860,50.07,4.98,3.96,Surgery,18788.0,Yes,79.91,636.0,6.3,62438.0,0.45,67.84 +6054,USA,2004,COVID-19,Viral,8.29,1.6,9.81,36-60,Other,11389,99.27,4.81,4.2,Vaccination,19476.0,No,97.6,4205.0,9.14,60960.0,0.82,88.24 +6055,Turkey,2024,HIV/AIDS,Viral,14.66,4.2,8.33,36-60,Female,357365,98.81,1.62,7.07,Surgery,5816.0,No,79.1,4654.0,3.23,90311.0,0.79,36.96 +6058,Turkey,2015,Parkinson's Disease,Metabolic,14.82,3.2,7.92,61+,Female,309564,55.75,2.37,4.87,Surgery,47899.0,No,98.53,126.0,9.98,38425.0,0.76,88.38 +6060,South Korea,2011,Diabetes,Viral,2.74,8.94,4.87,0-18,Male,625729,74.9,3.74,8.55,Therapy,15115.0,No,69.05,4896.0,4.25,7800.0,0.79,53.2 +6062,India,2013,Cancer,Chronic,17.42,7.37,7.16,61+,Female,488428,73.52,2.07,2.93,Vaccination,46736.0,No,69.2,361.0,0.7,80517.0,0.42,78.77 +6064,Argentina,2021,Dengue,Neurological,9.67,0.68,9.0,0-18,Male,323497,77.64,2.63,3.87,Medication,15776.0,No,73.88,3095.0,7.76,52067.0,0.56,56.81 +6066,India,2007,Influenza,Autoimmune,12.1,5.68,7.43,0-18,Female,412592,98.83,3.32,9.73,Vaccination,29756.0,No,57.89,276.0,3.96,75998.0,0.7,33.25 +6069,Argentina,2024,Zika,Viral,0.51,0.41,1.33,61+,Female,550011,92.12,4.58,6.17,Therapy,25691.0,No,93.45,192.0,2.14,64017.0,0.53,48.92 +6071,Indonesia,2004,Parkinson's Disease,Chronic,2.48,11.82,3.95,36-60,Female,764447,61.11,3.06,3.24,Medication,2296.0,Yes,51.18,3226.0,2.66,98142.0,0.82,47.79 +6075,France,2023,Measles,Metabolic,11.92,13.57,7.68,0-18,Other,90341,52.4,2.0,5.04,Medication,18718.0,Yes,61.16,1796.0,3.03,55024.0,0.52,20.56 +6076,Japan,2003,Zika,Metabolic,10.8,7.44,7.34,61+,Male,541601,78.25,2.63,4.02,Vaccination,1685.0,Yes,57.66,2144.0,7.71,75274.0,0.43,79.92 +6086,Mexico,2022,Malaria,Genetic,10.91,14.19,7.38,0-18,Other,493907,62.44,3.07,9.4,Vaccination,14821.0,Yes,67.25,1523.0,6.59,63295.0,0.56,30.83 +6095,Germany,2006,Malaria,Metabolic,17.69,0.4,2.19,36-60,Other,453752,86.66,2.31,7.13,Medication,18747.0,No,60.0,1827.0,5.62,20901.0,0.47,40.34 +6097,Italy,2020,Hepatitis,Respiratory,11.24,5.08,3.12,19-35,Male,823806,66.45,2.19,8.34,Surgery,1768.0,No,86.47,1240.0,1.97,24446.0,0.61,32.78 +6106,India,2003,Asthma,Metabolic,6.25,14.89,7.44,36-60,Male,97632,53.48,3.51,8.72,Vaccination,32025.0,Yes,60.91,807.0,2.25,22284.0,0.74,50.5 +6108,China,2008,Ebola,Respiratory,14.45,3.7,8.81,61+,Female,441843,91.71,1.5,6.38,Surgery,18519.0,No,56.31,388.0,5.54,57316.0,0.81,81.63 +6113,USA,2023,Ebola,Infectious,5.78,6.79,7.69,0-18,Female,343166,89.58,1.42,3.12,Vaccination,12337.0,No,87.58,2784.0,8.44,15726.0,0.48,79.58 +6115,Indonesia,2017,Ebola,Infectious,16.87,14.88,5.52,36-60,Male,291992,82.25,2.46,7.98,Vaccination,35058.0,No,73.37,4121.0,5.53,57762.0,0.41,73.35 +6122,Italy,2007,Dengue,Infectious,17.12,12.1,5.71,61+,Female,99523,86.67,1.75,0.8,Surgery,17235.0,Yes,85.26,2617.0,9.94,98931.0,0.81,74.09 +6123,Nigeria,2024,Hypertension,Parasitic,11.1,13.71,5.27,19-35,Female,774109,85.2,3.52,4.1,Surgery,47480.0,Yes,55.58,887.0,9.76,34274.0,0.68,76.45 +6127,Nigeria,2023,Hypertension,Autoimmune,13.49,10.76,9.06,0-18,Other,250198,65.91,3.75,0.84,Surgery,5086.0,Yes,57.66,1274.0,5.99,43280.0,0.58,74.24 +6128,Canada,2021,HIV/AIDS,Neurological,7.58,11.92,1.3,0-18,Female,67039,53.46,2.61,3.13,Therapy,43131.0,Yes,76.85,24.0,2.24,40084.0,0.49,25.61 +6133,Mexico,2001,COVID-19,Parasitic,15.34,7.22,7.34,36-60,Female,323672,99.24,4.72,3.56,Medication,8238.0,No,97.98,1466.0,5.79,8977.0,0.8,40.27 +6143,Mexico,2001,Tuberculosis,Bacterial,11.09,14.57,3.96,19-35,Male,301132,92.29,2.29,3.82,Therapy,22173.0,No,98.15,3571.0,4.2,96713.0,0.87,58.94 +6147,Canada,2021,Ebola,Infectious,15.37,3.78,4.33,61+,Female,935864,83.4,2.8,7.46,Vaccination,3294.0,No,56.37,3848.0,6.08,17034.0,0.89,34.01 +6150,Indonesia,2016,Ebola,Cardiovascular,5.15,3.46,6.63,19-35,Other,427474,63.26,3.08,1.14,Therapy,11966.0,No,61.73,4457.0,6.65,37995.0,0.6,31.55 +6156,France,2023,Dengue,Parasitic,3.55,4.24,9.81,36-60,Female,75775,74.79,3.41,5.02,Therapy,16175.0,Yes,98.65,2682.0,8.67,76840.0,0.84,27.55 +6159,South Korea,2001,Tuberculosis,Autoimmune,2.39,1.98,4.02,19-35,Male,620142,61.12,1.8,7.91,Vaccination,46524.0,Yes,69.15,1058.0,4.09,27535.0,0.51,76.92 +6161,China,2019,COVID-19,Chronic,13.33,7.35,5.08,19-35,Female,28139,86.5,3.27,7.67,Therapy,13101.0,Yes,89.06,3804.0,8.39,68517.0,0.79,34.32 +6168,Australia,2015,Rabies,Autoimmune,19.87,0.49,5.91,36-60,Other,735662,86.95,3.47,1.0,Surgery,19952.0,Yes,73.2,2271.0,6.03,85388.0,0.62,52.02 +6169,Turkey,2019,Malaria,Parasitic,7.29,11.94,3.52,36-60,Male,712028,61.05,0.98,2.07,Vaccination,23721.0,Yes,95.1,776.0,6.04,32529.0,0.64,70.22 +6170,Argentina,2015,Leprosy,Viral,8.73,9.1,1.29,61+,Other,530378,81.55,2.65,3.66,Surgery,36756.0,No,62.95,1286.0,8.36,27160.0,0.42,74.89 +6173,Italy,2007,Parkinson's Disease,Parasitic,7.45,1.0,2.11,19-35,Other,174353,85.74,3.39,1.14,Therapy,11156.0,Yes,79.16,3964.0,3.86,32274.0,0.42,62.21 +6180,Indonesia,2007,Polio,Metabolic,1.17,1.2,2.55,19-35,Female,652134,58.15,3.41,1.28,Surgery,18436.0,Yes,72.88,3294.0,5.15,23474.0,0.46,79.26 +6184,India,2017,HIV/AIDS,Parasitic,16.34,12.28,8.78,0-18,Other,561766,87.16,0.87,1.53,Medication,37348.0,Yes,91.99,143.0,7.89,28252.0,0.4,27.73 +6185,Turkey,2024,Tuberculosis,Viral,9.32,12.7,2.9,61+,Male,189724,72.84,4.06,4.9,Vaccination,21977.0,Yes,82.24,1534.0,3.52,44850.0,0.69,52.59 +6191,Turkey,2021,Ebola,Cardiovascular,16.25,8.24,3.22,0-18,Other,615410,71.88,1.11,6.97,Therapy,43591.0,No,95.58,2124.0,5.27,57347.0,0.51,32.9 +6197,Mexico,2002,Leprosy,Metabolic,7.05,0.92,6.13,36-60,Female,654739,98.77,3.65,2.49,Medication,2757.0,Yes,81.96,3321.0,4.01,13774.0,0.49,43.35 +6199,India,2008,Polio,Parasitic,19.02,10.33,3.1,0-18,Female,609555,62.21,1.65,9.84,Surgery,42053.0,No,71.08,17.0,5.7,62437.0,0.6,44.2 +6213,Mexico,2006,Ebola,Neurological,16.31,12.77,8.58,36-60,Male,192706,53.94,4.37,2.67,Therapy,21749.0,Yes,76.56,1477.0,8.92,48784.0,0.47,62.55 +6214,Indonesia,2003,Dengue,Respiratory,14.02,9.99,1.23,36-60,Male,80374,73.89,0.77,3.81,Therapy,46143.0,Yes,86.45,72.0,9.02,62002.0,0.65,24.88 +6216,Australia,2002,Zika,Parasitic,12.75,0.25,5.42,19-35,Other,817833,54.54,4.69,3.47,Therapy,45062.0,No,98.03,1317.0,0.39,30401.0,0.77,74.83 +6220,Indonesia,2014,COVID-19,Infectious,3.68,1.47,5.9,36-60,Female,303701,59.48,3.86,3.41,Medication,41766.0,No,91.21,3952.0,7.46,36680.0,0.84,39.87 +6233,Nigeria,2004,Leprosy,Bacterial,9.24,5.02,3.01,36-60,Other,206219,55.33,4.46,3.85,Therapy,290.0,No,60.1,3737.0,1.07,86496.0,0.77,84.16 +6247,Germany,2006,Ebola,Viral,15.81,0.47,0.85,0-18,Male,121392,93.86,2.48,0.67,Surgery,46158.0,No,84.62,1846.0,2.33,76988.0,0.48,88.17 +6260,France,2004,Alzheimer's Disease,Chronic,7.52,14.58,3.69,19-35,Female,440359,84.42,2.74,6.76,Therapy,26083.0,Yes,97.58,888.0,8.56,31831.0,0.63,51.7 +6265,Russia,2009,Dengue,Parasitic,17.04,11.13,4.77,0-18,Other,5995,75.67,1.09,1.2,Medication,29086.0,No,74.35,3201.0,5.84,49790.0,0.74,86.51 +6269,Australia,2022,Leprosy,Infectious,13.6,3.9,9.84,36-60,Other,19062,52.09,4.02,1.12,Therapy,17785.0,No,98.81,857.0,6.15,21384.0,0.86,21.51 +6270,Canada,2012,Alzheimer's Disease,Neurological,16.74,8.39,3.62,61+,Male,502059,55.98,0.76,9.39,Vaccination,41792.0,No,89.04,4646.0,1.25,68151.0,0.78,84.58 +6277,Mexico,2019,HIV/AIDS,Genetic,7.16,8.74,4.44,0-18,Male,732560,77.64,2.76,1.25,Medication,40677.0,Yes,68.75,3622.0,6.96,28700.0,0.84,86.29 +6279,UK,2009,Zika,Bacterial,5.62,12.53,4.22,0-18,Male,383938,82.71,4.5,1.22,Therapy,33767.0,No,87.5,1791.0,7.24,35999.0,0.46,68.48 +6285,Argentina,2006,Parkinson's Disease,Metabolic,5.24,6.62,5.54,0-18,Male,99579,85.26,2.35,9.15,Vaccination,15458.0,No,68.09,1368.0,1.23,34671.0,0.81,21.37 +6306,Brazil,2015,Diabetes,Autoimmune,8.05,6.86,7.55,0-18,Other,531247,84.22,3.22,9.22,Therapy,3613.0,No,77.65,3245.0,9.12,1804.0,0.8,70.79 +6310,Argentina,2005,Rabies,Parasitic,5.4,9.68,3.7,0-18,Other,745690,75.15,3.68,9.58,Medication,39546.0,Yes,69.43,3768.0,0.02,93092.0,0.6,22.78 +6312,Brazil,2007,Asthma,Infectious,6.33,1.7,7.84,19-35,Male,411525,53.25,3.24,9.91,Vaccination,39419.0,Yes,62.96,1463.0,6.94,97437.0,0.83,84.69 +6314,Russia,2023,Rabies,Respiratory,18.82,6.87,2.83,19-35,Other,306463,63.22,2.84,8.72,Surgery,42361.0,Yes,96.11,1608.0,9.8,92038.0,0.83,27.79 +6316,Nigeria,2003,Diabetes,Genetic,17.82,5.57,4.38,0-18,Other,392192,82.36,1.01,8.9,Surgery,16961.0,No,71.96,2134.0,7.25,50456.0,0.76,38.18 +6317,Australia,2023,Ebola,Autoimmune,8.33,10.66,1.81,19-35,Male,698653,56.62,1.55,2.1,Surgery,26024.0,No,65.99,445.0,1.35,58717.0,0.49,58.38 +6321,Japan,2021,Asthma,Parasitic,1.78,9.91,0.89,0-18,Other,263538,82.18,1.23,4.27,Therapy,15367.0,Yes,87.25,2990.0,1.94,99233.0,0.8,67.02 +6322,USA,2011,Zika,Chronic,3.04,2.1,3.3,61+,Male,843570,58.14,4.38,9.09,Vaccination,24145.0,No,77.75,1639.0,6.11,37858.0,0.87,28.47 +6327,Mexico,2016,Measles,Bacterial,15.31,13.99,9.38,61+,Female,277850,82.01,0.69,1.42,Therapy,1911.0,No,86.16,3048.0,5.96,94710.0,0.53,77.44 +6328,Germany,2009,Zika,Parasitic,17.52,13.96,6.74,61+,Male,99680,91.84,4.56,2.26,Medication,23241.0,Yes,55.97,2172.0,1.46,58700.0,0.45,37.55 +6330,UK,2020,HIV/AIDS,Viral,16.16,14.42,1.87,19-35,Female,76053,52.67,2.27,4.57,Surgery,14157.0,No,65.09,1414.0,5.84,55564.0,0.89,50.75 +6335,Russia,2000,COVID-19,Neurological,6.95,2.86,9.07,36-60,Female,667661,65.64,3.69,0.67,Surgery,4041.0,No,58.32,915.0,9.79,41899.0,0.6,42.09 +6339,USA,2010,Leprosy,Cardiovascular,10.2,14.98,4.8,36-60,Female,395269,93.12,1.1,2.06,Therapy,1322.0,No,90.24,1095.0,2.12,15808.0,0.41,82.76 +6347,Germany,2003,Hepatitis,Viral,13.05,14.71,8.63,61+,Female,463285,60.86,2.21,8.14,Vaccination,26645.0,No,61.81,3446.0,1.32,41848.0,0.44,28.38 +6351,Turkey,2008,Hepatitis,Neurological,10.22,1.16,7.99,0-18,Female,398618,84.0,4.0,5.71,Medication,38465.0,Yes,86.79,4439.0,7.37,43667.0,0.61,47.7 +6356,South Africa,2019,Parkinson's Disease,Metabolic,4.76,8.25,6.85,19-35,Other,317306,98.01,1.22,4.63,Surgery,47415.0,Yes,55.54,4698.0,5.94,6956.0,0.46,35.0 +6363,Australia,2009,Diabetes,Neurological,19.54,14.04,9.52,36-60,Female,770881,99.06,2.15,8.97,Therapy,27176.0,No,66.85,265.0,8.16,65375.0,0.86,82.64 +6378,France,2010,Alzheimer's Disease,Infectious,1.99,4.52,8.9,61+,Other,136860,88.42,4.44,2.43,Vaccination,31924.0,No,81.25,2305.0,0.23,66103.0,0.66,62.89 +6381,France,2003,Hypertension,Infectious,2.64,11.28,8.35,19-35,Other,369679,98.24,2.15,1.25,Medication,17528.0,No,72.66,1747.0,1.09,72559.0,0.57,62.82 +6382,South Africa,2016,Cancer,Cardiovascular,10.01,3.59,1.31,61+,Other,658038,74.3,4.38,8.98,Vaccination,18256.0,No,69.19,2310.0,5.59,57422.0,0.65,25.74 +6384,South Korea,2006,Asthma,Respiratory,0.25,14.56,3.28,0-18,Other,283018,78.47,1.15,5.95,Vaccination,5702.0,No,56.37,4661.0,4.67,83597.0,0.48,30.1 +6385,Nigeria,2008,Parkinson's Disease,Chronic,4.31,11.45,3.98,19-35,Female,957176,66.28,4.48,6.05,Medication,23084.0,Yes,70.8,766.0,3.92,51024.0,0.54,26.31 +6388,Australia,2019,Cholera,Parasitic,8.56,9.63,5.38,36-60,Male,789798,84.93,2.64,8.55,Therapy,9349.0,Yes,80.52,4937.0,5.92,78104.0,0.47,23.84 +6390,Australia,2001,Hepatitis,Viral,3.56,7.7,7.08,19-35,Other,562065,78.52,1.82,3.98,Vaccination,41831.0,No,76.36,1643.0,4.47,42091.0,0.42,43.95 +6399,Russia,2013,Measles,Genetic,9.44,7.22,3.39,19-35,Male,39476,61.98,1.4,6.94,Medication,3392.0,Yes,94.2,2636.0,2.33,71521.0,0.57,39.92 +6400,Argentina,2010,Malaria,Metabolic,19.45,13.64,2.83,0-18,Other,830715,88.23,0.79,5.8,Vaccination,27103.0,Yes,68.5,1908.0,9.35,42854.0,0.77,27.88 +6401,Turkey,2013,Alzheimer's Disease,Viral,18.36,5.73,6.29,61+,Other,845635,58.52,0.59,3.25,Medication,22228.0,Yes,94.69,3660.0,4.99,55555.0,0.69,68.61 +6405,Argentina,2015,Ebola,Cardiovascular,18.09,2.17,6.84,36-60,Male,437138,74.14,3.31,4.8,Medication,43027.0,No,59.85,1193.0,9.77,65670.0,0.73,27.99 +6411,France,2006,Parkinson's Disease,Viral,4.14,11.8,3.06,19-35,Female,335358,90.9,1.61,9.52,Therapy,12810.0,Yes,95.59,2499.0,5.9,46112.0,0.59,50.37 +6414,Brazil,2022,Hepatitis,Parasitic,19.11,12.85,3.5,0-18,Male,309669,95.78,2.06,9.87,Surgery,49573.0,Yes,72.1,3885.0,7.77,69628.0,0.55,56.56 +6415,France,2017,Hypertension,Respiratory,17.69,1.64,8.4,0-18,Female,703849,85.41,2.43,5.52,Therapy,44848.0,No,85.64,3548.0,5.01,39826.0,0.73,85.65 +6418,Turkey,2014,Leprosy,Respiratory,2.55,12.06,5.63,19-35,Male,246594,55.45,1.97,6.86,Vaccination,12794.0,Yes,98.73,1744.0,3.24,86482.0,0.5,30.34 +6421,China,2011,Rabies,Neurological,17.93,3.14,2.15,61+,Male,61840,82.16,0.93,8.24,Vaccination,23211.0,No,94.8,3577.0,7.56,99395.0,0.76,72.38 +6429,France,2016,COVID-19,Chronic,12.4,3.37,8.84,0-18,Female,620751,55.66,2.51,8.81,Therapy,14417.0,Yes,95.64,34.0,3.79,89133.0,0.76,82.24 +6437,South Africa,2015,Cholera,Genetic,1.01,5.46,0.91,36-60,Male,600628,72.44,3.66,4.83,Vaccination,22222.0,No,73.82,1056.0,1.7,53914.0,0.59,88.28 +6445,China,2009,Ebola,Bacterial,5.78,4.67,8.69,19-35,Male,234218,73.83,3.98,0.63,Vaccination,14998.0,Yes,63.99,4034.0,2.14,77053.0,0.73,74.39 +6448,China,2010,Tuberculosis,Chronic,1.74,7.34,1.51,19-35,Female,112520,91.18,4.13,7.2,Vaccination,23021.0,Yes,69.12,1344.0,8.44,19166.0,0.59,34.46 +6449,India,2021,Hepatitis,Infectious,4.31,7.96,7.92,0-18,Female,415369,54.81,1.6,2.7,Medication,2466.0,Yes,90.48,4561.0,9.25,77630.0,0.66,60.38 +6450,Canada,2008,HIV/AIDS,Chronic,13.67,7.8,3.54,0-18,Male,625354,64.19,2.41,5.38,Vaccination,22448.0,No,83.81,1882.0,2.69,39744.0,0.6,41.47 +6452,Indonesia,2000,Hypertension,Neurological,4.71,1.15,3.32,0-18,Female,882481,69.65,2.38,5.29,Surgery,30599.0,Yes,74.59,4943.0,9.18,7061.0,0.89,38.79 +6454,Italy,2001,Diabetes,Viral,2.01,12.73,1.5,19-35,Female,221468,53.35,1.56,3.47,Therapy,2039.0,No,62.53,3154.0,1.1,61219.0,0.59,20.32 +6456,South Africa,2024,Cancer,Cardiovascular,13.38,6.19,3.65,0-18,Female,193095,71.86,3.47,6.3,Medication,31430.0,No,96.1,786.0,1.83,87380.0,0.68,24.6 +6463,Russia,2001,Parkinson's Disease,Parasitic,0.58,13.06,7.43,36-60,Other,238773,67.53,0.54,6.27,Vaccination,28045.0,Yes,95.43,3236.0,3.75,8696.0,0.76,42.34 +6466,Indonesia,2022,Diabetes,Neurological,18.57,5.38,6.53,19-35,Female,941383,66.34,0.66,8.7,Medication,28720.0,No,52.3,2943.0,1.69,19548.0,0.59,55.57 +6471,Brazil,2015,Diabetes,Autoimmune,3.24,7.17,7.0,0-18,Female,773593,89.98,0.68,2.77,Therapy,26116.0,Yes,85.3,2938.0,3.13,35665.0,0.7,73.42 +6475,Mexico,2020,COVID-19,Respiratory,8.66,9.97,6.12,0-18,Female,324929,55.04,4.75,5.94,Surgery,8643.0,Yes,76.25,3250.0,7.38,85305.0,0.79,29.95 +6476,Saudi Arabia,2005,Polio,Infectious,5.06,6.98,9.31,61+,Female,958614,80.76,3.46,1.72,Vaccination,37119.0,Yes,92.54,4409.0,3.78,14675.0,0.73,66.63 +6480,UK,2015,Influenza,Cardiovascular,11.71,14.43,5.7,36-60,Female,948374,93.78,0.53,7.19,Surgery,20374.0,Yes,94.1,1057.0,9.34,89014.0,0.45,34.43 +6483,Japan,2006,Hypertension,Viral,8.35,2.03,0.15,61+,Other,116648,79.34,1.46,9.02,Medication,40051.0,No,56.63,4374.0,4.03,86677.0,0.54,32.05 +6487,UK,2019,Measles,Chronic,9.43,9.27,6.36,0-18,Male,469527,66.85,4.66,2.13,Vaccination,13975.0,No,71.2,3976.0,0.9,5922.0,0.45,46.8 +6496,UK,2015,Cholera,Parasitic,17.86,0.85,4.25,0-18,Female,551234,59.2,4.94,9.75,Therapy,12501.0,No,78.57,2199.0,3.23,55081.0,0.42,42.51 +6502,Russia,2008,Diabetes,Infectious,15.42,14.22,6.86,61+,Female,865617,90.92,2.82,9.62,Medication,30194.0,No,57.22,3173.0,0.14,97140.0,0.85,43.2 +6509,China,2001,Measles,Bacterial,4.52,8.4,1.95,61+,Male,586035,96.83,3.84,8.17,Therapy,13645.0,No,78.19,2774.0,2.95,27535.0,0.66,51.09 +6510,Nigeria,2005,Hepatitis,Viral,3.25,9.2,0.14,19-35,Male,488588,56.18,2.1,0.72,Surgery,17470.0,No,68.61,1514.0,6.87,75220.0,0.48,36.11 +6513,South Korea,2016,Hypertension,Viral,5.48,10.25,9.62,19-35,Female,927231,54.64,3.97,1.63,Medication,19547.0,No,66.5,918.0,5.84,91165.0,0.77,50.08 +6514,Turkey,2004,Polio,Infectious,1.1,14.01,9.87,61+,Female,528805,72.98,3.23,7.68,Vaccination,48226.0,Yes,57.8,2722.0,1.31,5883.0,0.42,55.3 +6521,UK,2020,Cancer,Infectious,2.2,14.44,3.85,61+,Male,419534,75.36,2.84,8.01,Medication,26729.0,No,76.77,1213.0,1.47,73366.0,0.74,76.91 +6530,Brazil,2000,Asthma,Bacterial,17.71,2.83,8.84,36-60,Female,774758,91.37,2.41,6.59,Vaccination,41083.0,No,97.38,738.0,0.62,79859.0,0.45,80.41 +6544,Japan,2018,Ebola,Viral,5.77,4.47,1.79,19-35,Male,138525,87.74,2.64,7.81,Therapy,4224.0,No,53.37,2234.0,1.13,70124.0,0.7,38.48 +6545,Japan,2007,Measles,Chronic,16.01,4.34,9.02,19-35,Male,163195,88.28,0.56,9.52,Surgery,9714.0,Yes,53.04,1805.0,2.74,16215.0,0.52,48.59 +6551,Japan,2022,Malaria,Viral,6.28,5.23,1.32,0-18,Male,987474,73.15,0.91,9.69,Surgery,1078.0,No,83.56,1817.0,3.88,61228.0,0.87,66.76 +6555,Canada,2011,Polio,Chronic,0.45,10.02,2.71,0-18,Other,158776,87.01,4.22,0.88,Surgery,35969.0,No,91.63,4771.0,6.01,14506.0,0.77,75.71 +6559,Saudi Arabia,2006,Ebola,Neurological,6.49,11.87,3.52,0-18,Other,776637,96.37,1.0,8.9,Medication,3674.0,No,55.1,3523.0,0.42,8383.0,0.62,79.64 +6560,Saudi Arabia,2012,Alzheimer's Disease,Cardiovascular,6.02,7.95,8.26,36-60,Male,208286,59.25,0.78,1.97,Surgery,26186.0,No,52.59,267.0,6.27,2582.0,0.73,73.61 +6563,Saudi Arabia,2023,Measles,Neurological,15.55,5.51,3.31,19-35,Female,276453,70.65,2.56,4.47,Surgery,11191.0,No,83.49,1850.0,2.06,65999.0,0.6,81.79 +6564,South Korea,2010,Malaria,Parasitic,1.73,3.92,2.88,0-18,Female,423236,68.04,0.51,0.53,Surgery,19031.0,Yes,84.09,2875.0,6.24,65037.0,0.45,61.28 +6572,Argentina,2014,Ebola,Parasitic,5.75,2.6,9.24,0-18,Other,36805,97.83,1.58,4.83,Medication,27668.0,No,82.51,4024.0,5.21,70805.0,0.84,32.72 +6589,South Africa,2022,Influenza,Viral,3.83,4.83,0.23,0-18,Female,29630,63.45,3.67,1.06,Surgery,33296.0,Yes,81.0,3783.0,2.87,16716.0,0.89,68.67 +6594,South Korea,2015,Influenza,Parasitic,5.36,12.55,1.06,36-60,Other,620792,80.38,3.93,8.59,Vaccination,32466.0,Yes,86.31,357.0,5.29,58364.0,0.82,29.71 +6595,Germany,2023,Cholera,Respiratory,0.49,5.85,8.83,0-18,Female,52622,75.59,4.48,4.36,Medication,28348.0,No,56.18,1718.0,4.97,53434.0,0.78,56.4 +6596,Australia,2024,Hepatitis,Viral,5.49,3.0,7.69,36-60,Female,141968,80.23,4.88,3.61,Medication,6693.0,Yes,84.69,3843.0,9.5,15294.0,0.73,66.56 +6597,UK,2002,Polio,Parasitic,10.45,1.42,1.04,36-60,Other,394217,51.12,2.95,6.76,Therapy,31672.0,No,67.55,3874.0,7.22,49897.0,0.64,82.63 +6601,USA,2021,HIV/AIDS,Parasitic,4.07,7.77,6.36,36-60,Other,202773,64.95,3.77,5.81,Vaccination,8912.0,No,61.39,3462.0,0.81,5969.0,0.77,26.88 +6608,Russia,2021,Cholera,Infectious,15.98,2.02,1.59,61+,Male,347462,54.84,0.57,8.78,Surgery,26508.0,Yes,75.23,239.0,7.41,55751.0,0.84,58.84 +6612,South Africa,2020,Hypertension,Autoimmune,19.61,7.61,3.76,36-60,Male,484210,84.97,4.22,6.28,Surgery,36999.0,Yes,60.23,2978.0,7.46,32600.0,0.75,40.92 +6615,Nigeria,2017,Zika,Infectious,15.91,11.01,4.51,0-18,Male,558458,51.39,3.03,2.13,Surgery,33574.0,No,90.01,4854.0,0.52,18587.0,0.44,65.25 +6617,Japan,2020,Malaria,Respiratory,9.26,5.19,3.08,19-35,Male,805364,71.63,4.48,5.23,Therapy,454.0,Yes,79.27,3355.0,0.24,36530.0,0.56,65.09 +6619,South Africa,2020,Asthma,Autoimmune,6.58,13.67,1.32,61+,Male,122251,63.02,4.73,7.33,Vaccination,28192.0,Yes,57.08,2467.0,8.48,63306.0,0.68,60.79 +6623,Argentina,2002,COVID-19,Neurological,0.91,13.99,8.43,19-35,Female,654247,53.95,1.92,9.83,Surgery,31849.0,Yes,51.73,2591.0,1.64,17827.0,0.82,75.73 +6624,Japan,2015,Tuberculosis,Autoimmune,5.61,1.02,0.26,61+,Other,305622,73.18,4.74,0.77,Surgery,18122.0,No,62.51,3164.0,3.79,6035.0,0.85,38.99 +6630,Indonesia,2006,Influenza,Respiratory,11.25,6.39,2.8,36-60,Female,733579,79.9,2.38,4.09,Therapy,22231.0,No,70.87,343.0,1.06,11626.0,0.76,55.75 +6634,UK,2020,Malaria,Cardiovascular,6.01,9.29,5.2,0-18,Male,39251,69.07,3.14,4.87,Surgery,42442.0,Yes,71.79,1345.0,8.33,13456.0,0.48,51.15 +6640,Japan,2020,Diabetes,Bacterial,13.54,9.59,6.9,0-18,Other,654819,64.05,3.94,4.06,Therapy,17444.0,Yes,53.46,4802.0,9.42,14570.0,0.41,21.99 +6643,USA,2024,Asthma,Viral,3.28,2.25,4.44,0-18,Other,200890,99.53,0.77,2.42,Medication,7870.0,Yes,66.02,560.0,3.12,14600.0,0.6,30.26 +6645,USA,2003,Polio,Metabolic,1.28,9.42,4.85,0-18,Female,340778,64.09,4.4,2.46,Therapy,49286.0,No,81.45,3871.0,4.58,58247.0,0.5,28.05 +6646,Australia,2015,Tuberculosis,Bacterial,9.42,2.48,8.3,0-18,Other,198285,80.74,1.74,9.02,Vaccination,21035.0,No,97.32,2975.0,4.0,49495.0,0.6,32.24 +6647,India,2019,Polio,Infectious,14.89,5.74,6.14,61+,Female,891260,66.3,3.67,1.86,Medication,28909.0,Yes,71.74,2479.0,6.66,49194.0,0.78,85.59 +6649,South Africa,2017,Ebola,Infectious,13.46,4.15,7.16,0-18,Other,305489,84.31,2.4,7.55,Therapy,28417.0,Yes,62.83,2432.0,5.15,3363.0,0.86,67.7 +6650,USA,2010,Measles,Chronic,2.34,13.4,1.68,19-35,Male,280989,95.1,4.87,1.74,Therapy,29313.0,No,62.48,4151.0,5.81,95693.0,0.44,26.48 +6654,Canada,2024,Asthma,Infectious,6.1,1.5,1.73,36-60,Male,498283,82.09,4.15,7.19,Surgery,36686.0,Yes,67.94,2729.0,1.52,39905.0,0.83,77.62 +6659,Canada,2017,Tuberculosis,Infectious,19.68,3.8,7.79,36-60,Female,701540,98.1,1.31,6.23,Vaccination,20905.0,Yes,60.47,4158.0,1.03,81589.0,0.57,38.62 +6667,UK,2006,Leprosy,Genetic,10.15,9.14,4.2,0-18,Female,85835,79.13,4.85,9.46,Medication,13832.0,No,74.64,4119.0,4.27,66468.0,0.46,60.35 +6668,Nigeria,2012,Malaria,Viral,17.74,10.28,7.68,0-18,Male,821867,98.24,4.28,2.1,Medication,36015.0,No,65.36,4601.0,8.76,15682.0,0.66,80.55 +6669,France,2016,Cancer,Genetic,14.8,6.83,6.37,61+,Female,413825,60.01,3.29,7.61,Medication,20081.0,Yes,67.29,3637.0,4.5,53850.0,0.82,38.23 +6670,Canada,2015,Hypertension,Bacterial,4.17,14.45,0.68,61+,Female,94691,63.22,0.55,7.04,Vaccination,30358.0,No,62.99,2275.0,9.28,53917.0,0.84,58.67 +6671,Turkey,2018,Cancer,Neurological,15.78,5.89,4.92,61+,Male,876720,87.96,1.12,8.63,Medication,44928.0,Yes,91.36,187.0,7.72,96966.0,0.59,57.62 +6672,USA,2012,Hypertension,Metabolic,15.75,11.48,0.25,0-18,Other,56736,59.47,4.8,8.3,Vaccination,16006.0,No,80.74,679.0,2.04,95049.0,0.57,34.48 +6674,India,2023,Influenza,Respiratory,18.17,9.57,3.24,36-60,Female,93684,77.34,0.94,2.33,Medication,836.0,No,58.36,2483.0,5.42,49504.0,0.54,39.02 +6677,UK,2012,Polio,Metabolic,10.03,12.09,7.37,0-18,Male,375901,59.42,4.97,5.24,Surgery,13308.0,Yes,75.48,2216.0,3.88,12661.0,0.89,27.75 +6683,Turkey,2000,HIV/AIDS,Cardiovascular,18.74,9.74,8.64,61+,Male,949197,83.83,4.52,5.46,Medication,25628.0,No,79.9,3774.0,4.0,84034.0,0.8,47.58 +6686,Germany,2017,Diabetes,Neurological,8.63,10.78,2.76,19-35,Female,194321,50.48,2.66,8.19,Medication,25655.0,Yes,97.06,538.0,1.19,92186.0,0.47,28.32 +6689,France,2013,Polio,Autoimmune,11.09,11.33,5.22,0-18,Male,988464,97.29,3.97,3.42,Surgery,29060.0,No,94.53,1562.0,0.92,14484.0,0.4,77.17 +6702,Turkey,2007,Hypertension,Chronic,19.92,12.48,5.93,36-60,Male,888210,81.67,3.17,7.27,Medication,35796.0,No,74.62,851.0,1.15,82947.0,0.89,28.72 +6703,France,2011,Leprosy,Genetic,0.77,1.69,3.58,61+,Female,666882,76.17,0.52,2.57,Surgery,37841.0,Yes,98.0,2126.0,3.52,55454.0,0.71,52.95 +6729,India,2004,Dengue,Genetic,6.91,8.94,9.36,61+,Male,223660,57.94,2.85,2.99,Medication,44285.0,No,62.4,2951.0,1.63,38292.0,0.51,35.79 +6734,Germany,2003,Polio,Chronic,18.12,12.27,3.25,61+,Female,784186,80.69,1.05,3.34,Therapy,39545.0,Yes,58.49,2326.0,6.13,59470.0,0.87,54.53 +6742,Germany,2003,Cancer,Metabolic,5.46,12.75,3.17,0-18,Other,247202,92.15,3.52,1.54,Vaccination,44969.0,Yes,96.73,1146.0,8.67,27416.0,0.76,59.39 +6743,Argentina,2023,Dengue,Viral,18.09,2.7,8.04,36-60,Other,141613,97.27,0.78,9.36,Vaccination,6444.0,No,64.67,1089.0,2.73,32372.0,0.76,21.16 +6745,Germany,2024,Hypertension,Autoimmune,17.74,4.65,8.09,0-18,Other,341722,74.69,0.79,7.54,Medication,2457.0,No,81.93,1222.0,4.84,51555.0,0.76,27.88 +6759,South Korea,2021,HIV/AIDS,Parasitic,9.47,3.22,6.8,0-18,Female,884033,97.58,4.78,7.21,Therapy,18852.0,Yes,61.06,1830.0,6.83,77309.0,0.67,31.55 +6761,Russia,2006,Dengue,Respiratory,10.55,5.67,6.18,61+,Female,270600,63.92,0.63,7.43,Vaccination,25847.0,Yes,70.84,1260.0,4.33,60959.0,0.87,47.68 +6771,South Korea,2007,Cholera,Bacterial,17.81,8.73,0.33,19-35,Other,499781,77.49,2.04,8.45,Therapy,36991.0,Yes,86.8,2665.0,5.15,75337.0,0.47,71.33 +6772,India,2008,Measles,Neurological,10.91,5.46,8.06,0-18,Female,448955,77.12,1.26,1.19,Surgery,36191.0,No,67.6,3957.0,9.64,68394.0,0.65,88.18 +6776,Argentina,2008,Dengue,Autoimmune,9.74,4.19,5.2,61+,Male,186105,67.55,3.73,4.74,Therapy,16471.0,Yes,59.13,1366.0,2.61,34038.0,0.89,80.07 +6785,USA,2007,Cholera,Respiratory,0.16,7.07,4.38,19-35,Male,627736,79.71,1.51,1.18,Surgery,17895.0,Yes,84.38,4578.0,7.15,81540.0,0.6,86.87 +6791,Canada,2005,Influenza,Chronic,17.16,6.52,0.44,0-18,Other,71430,89.19,0.64,6.43,Medication,16396.0,No,73.56,2823.0,7.34,57015.0,0.68,27.58 +6795,Turkey,2000,Ebola,Respiratory,7.93,11.61,9.11,61+,Female,123253,63.18,4.15,5.07,Surgery,6180.0,Yes,70.13,4694.0,9.4,94721.0,0.6,45.67 +6802,Germany,2008,Polio,Viral,8.96,13.32,0.73,0-18,Male,935289,89.4,2.83,7.66,Therapy,32875.0,Yes,54.73,2637.0,6.14,7295.0,0.58,31.82 +6804,Canada,2003,COVID-19,Respiratory,10.28,2.54,3.63,61+,Other,509905,80.71,4.78,1.76,Therapy,9999.0,Yes,54.93,4120.0,1.75,61058.0,0.67,67.57 +6806,South Africa,2015,Ebola,Infectious,9.84,2.49,0.48,19-35,Other,284298,89.48,2.75,2.56,Therapy,4035.0,No,62.46,4366.0,0.3,67460.0,0.57,59.63 +6809,South Africa,2020,Zika,Respiratory,17.65,8.75,6.64,61+,Female,261414,86.8,1.03,2.1,Medication,28697.0,No,92.63,593.0,4.34,58053.0,0.89,55.79 +6813,Italy,2005,Cholera,Neurological,8.19,9.56,5.0,36-60,Female,581123,60.94,3.25,8.43,Surgery,38087.0,No,72.65,1316.0,1.42,24437.0,0.81,39.71 +6816,France,2017,HIV/AIDS,Parasitic,6.49,2.87,0.35,61+,Female,447557,68.25,4.78,4.24,Surgery,48100.0,Yes,96.98,694.0,6.01,89111.0,0.77,33.16 +6817,UK,2020,Dengue,Autoimmune,1.41,1.82,3.34,19-35,Other,864417,60.8,1.11,0.6,Vaccination,25100.0,No,51.08,1067.0,2.94,2186.0,0.84,78.34 +6819,Japan,2009,Hypertension,Viral,5.81,6.04,4.87,0-18,Other,776717,79.39,3.89,1.5,Therapy,10226.0,Yes,69.15,707.0,3.5,8003.0,0.76,59.05 +6826,Australia,2015,COVID-19,Metabolic,18.0,9.27,9.25,0-18,Male,897887,97.62,1.79,7.73,Medication,5264.0,No,70.27,541.0,8.25,92010.0,0.65,43.05 +6832,South Africa,2024,Dengue,Chronic,3.44,11.08,8.2,0-18,Male,699910,72.01,2.4,9.63,Surgery,38416.0,No,93.03,4136.0,8.19,45802.0,0.58,63.67 +6833,Russia,2003,Alzheimer's Disease,Chronic,9.98,9.62,6.58,19-35,Other,966501,68.06,4.59,5.2,Surgery,45528.0,No,95.0,4114.0,9.68,16534.0,0.53,30.45 +6836,Saudi Arabia,2022,Influenza,Bacterial,15.86,8.41,8.07,61+,Other,165626,73.56,2.82,6.12,Surgery,18770.0,Yes,69.18,804.0,3.84,77376.0,0.62,48.96 +6837,India,2007,HIV/AIDS,Respiratory,14.02,5.06,8.02,0-18,Male,243124,67.63,3.49,1.68,Therapy,10927.0,No,76.52,2906.0,2.06,34126.0,0.65,33.03 +6842,South Africa,2024,Tuberculosis,Neurological,5.7,2.19,4.31,36-60,Male,101732,57.95,2.84,8.84,Medication,35370.0,Yes,82.04,4984.0,1.13,20377.0,0.73,75.41 +6846,Germany,2020,Hepatitis,Chronic,0.2,7.03,7.79,61+,Male,515396,91.47,3.48,2.93,Vaccination,33261.0,No,92.49,2896.0,3.25,45681.0,0.6,29.71 +6851,China,2024,Hepatitis,Metabolic,3.16,11.31,6.01,61+,Other,412202,83.15,2.28,4.31,Vaccination,17016.0,No,94.27,3983.0,4.87,73496.0,0.5,25.64 +6854,Russia,2007,Asthma,Metabolic,16.65,11.13,4.17,0-18,Other,523424,60.74,4.32,7.91,Therapy,33954.0,Yes,74.02,1461.0,1.2,9225.0,0.69,59.22 +6858,China,2019,Zika,Bacterial,10.67,4.25,1.83,61+,Other,629176,55.32,4.7,4.01,Therapy,46232.0,Yes,62.08,3324.0,1.43,58508.0,0.42,53.28 +6863,Italy,2004,Hepatitis,Infectious,8.53,8.45,3.17,36-60,Other,836024,85.3,2.86,6.08,Medication,26271.0,No,71.61,1567.0,4.47,87326.0,0.6,81.18 +6883,Brazil,2011,Diabetes,Neurological,16.24,1.23,9.99,36-60,Female,730808,81.01,4.11,3.4,Medication,16058.0,No,56.98,3069.0,8.93,64693.0,0.53,38.21 +6884,Saudi Arabia,2015,Zika,Genetic,11.32,8.62,2.85,36-60,Other,784640,79.87,1.24,9.7,Therapy,7606.0,No,89.3,826.0,4.69,83992.0,0.59,84.94 +6894,Canada,2001,Diabetes,Chronic,2.07,8.11,3.0,0-18,Female,920890,59.75,4.08,6.08,Therapy,18813.0,Yes,71.12,3782.0,6.28,87813.0,0.76,39.0 +6896,Saudi Arabia,2010,Cancer,Bacterial,16.33,14.6,9.54,19-35,Male,692367,90.12,1.34,8.6,Surgery,11089.0,No,50.45,412.0,7.02,29456.0,0.7,27.7 +6899,France,2021,Dengue,Autoimmune,2.52,13.32,9.15,19-35,Other,564837,51.35,2.66,9.59,Medication,9978.0,Yes,96.81,1858.0,8.02,30808.0,0.41,33.44 +6904,Canada,2024,Diabetes,Autoimmune,15.12,8.67,0.56,61+,Male,997031,53.62,2.16,3.17,Therapy,13675.0,Yes,59.21,2681.0,0.26,57232.0,0.67,24.47 +6923,Japan,2003,Rabies,Bacterial,18.07,9.62,0.52,0-18,Male,643128,61.68,3.94,7.83,Medication,43336.0,Yes,69.36,4492.0,7.89,9984.0,0.63,24.43 +6925,Turkey,2017,Hepatitis,Chronic,6.3,13.61,5.86,36-60,Other,278341,71.77,3.57,6.08,Vaccination,28052.0,Yes,59.04,900.0,6.33,17234.0,0.87,66.81 +6930,Germany,2010,COVID-19,Infectious,7.91,9.68,5.21,0-18,Other,724365,55.45,2.55,8.45,Vaccination,24161.0,Yes,97.36,139.0,5.37,39435.0,0.68,50.5 +6931,Russia,2003,Influenza,Infectious,2.72,8.84,7.53,61+,Female,150031,95.81,0.52,3.26,Surgery,7469.0,Yes,87.89,4336.0,5.5,85989.0,0.66,66.61 +6935,Australia,2013,Alzheimer's Disease,Chronic,7.17,5.3,4.34,0-18,Female,131077,92.09,2.33,8.89,Medication,37625.0,No,93.96,4564.0,4.78,31105.0,0.4,32.69 +6940,Nigeria,2009,Asthma,Chronic,5.79,0.59,4.67,36-60,Other,864270,60.85,0.83,1.98,Medication,42796.0,No,82.44,1026.0,2.04,27832.0,0.82,63.72 +6941,Nigeria,2010,Diabetes,Infectious,17.83,1.83,1.25,61+,Male,41137,99.85,2.98,9.14,Medication,15076.0,No,63.84,3880.0,0.11,7455.0,0.86,38.11 +6942,China,2011,COVID-19,Respiratory,10.51,2.15,6.24,0-18,Female,574625,60.31,4.14,2.39,Medication,9331.0,No,78.88,3030.0,8.93,76362.0,0.54,27.58 +6945,Japan,2004,Zika,Genetic,14.28,9.62,7.07,19-35,Male,61801,91.35,3.03,4.05,Surgery,40563.0,No,71.67,4509.0,5.78,5004.0,0.66,71.49 +6949,Saudi Arabia,2007,COVID-19,Metabolic,17.81,6.15,0.27,61+,Other,423566,87.22,3.95,4.89,Surgery,33598.0,Yes,68.05,1726.0,7.83,12529.0,0.82,29.79 +6960,Japan,2007,COVID-19,Autoimmune,10.82,2.25,2.04,36-60,Male,466542,66.25,3.89,6.85,Vaccination,39704.0,No,66.67,4699.0,6.52,93177.0,0.51,52.42 +6970,India,2008,Tuberculosis,Parasitic,17.85,4.72,0.86,61+,Male,755875,60.42,1.36,5.02,Vaccination,28928.0,Yes,93.91,3434.0,5.0,43318.0,0.48,86.74 +6971,Brazil,2023,COVID-19,Genetic,6.92,6.82,0.35,0-18,Other,321388,55.49,3.54,3.42,Therapy,30686.0,No,59.18,12.0,6.3,58721.0,0.56,77.49 +6979,UK,2002,Malaria,Neurological,9.9,7.68,7.33,36-60,Other,777245,55.81,0.86,6.85,Vaccination,21373.0,Yes,74.15,4941.0,1.52,72848.0,0.56,80.32 +6980,China,2000,Tuberculosis,Genetic,12.78,13.25,5.66,61+,Other,524245,83.3,4.08,0.53,Vaccination,23766.0,Yes,98.34,694.0,8.24,72953.0,0.65,30.37 +6981,France,2019,Hypertension,Bacterial,1.53,0.11,2.27,0-18,Male,593370,88.65,3.49,4.3,Vaccination,30617.0,Yes,86.7,1305.0,2.16,76335.0,0.84,34.71 +6986,Saudi Arabia,2015,Influenza,Infectious,6.79,4.05,3.8,61+,Other,630343,88.21,1.89,1.94,Surgery,23746.0,Yes,62.23,4326.0,8.12,63248.0,0.88,86.1 +6993,Brazil,2009,COVID-19,Cardiovascular,2.92,10.05,5.94,0-18,Male,178729,89.2,2.98,6.52,Vaccination,20035.0,No,92.87,4629.0,7.98,9093.0,0.42,37.94 +6995,South Africa,2000,Cholera,Viral,11.5,2.27,6.81,36-60,Female,79655,54.15,0.95,6.48,Therapy,2103.0,Yes,59.58,790.0,7.18,58398.0,0.76,84.13 +6997,Brazil,2001,Alzheimer's Disease,Neurological,9.04,1.86,6.24,0-18,Female,247786,91.22,4.65,7.9,Medication,39069.0,Yes,65.23,2924.0,4.72,57416.0,0.49,61.32 +7000,Nigeria,2007,Hepatitis,Cardiovascular,18.1,1.02,8.9,0-18,Male,915489,86.89,1.23,0.77,Therapy,40444.0,Yes,68.38,73.0,8.85,85112.0,0.67,60.67 +7005,UK,2006,Parkinson's Disease,Autoimmune,5.45,7.48,3.82,0-18,Other,76380,99.81,4.53,7.89,Medication,29598.0,Yes,80.91,327.0,9.63,1172.0,0.5,27.48 +7011,Japan,2001,Measles,Parasitic,12.49,13.63,5.19,0-18,Male,901065,68.22,3.46,6.06,Therapy,784.0,No,80.51,4739.0,8.74,91263.0,0.63,30.4 +7016,South Africa,2021,Polio,Chronic,15.66,14.09,1.77,0-18,Male,707829,86.51,2.06,7.18,Therapy,23692.0,No,52.21,4.0,6.89,3052.0,0.64,75.1 +7018,Germany,2021,Malaria,Autoimmune,5.8,5.83,1.94,61+,Male,218288,93.16,3.89,6.4,Medication,19763.0,No,57.58,783.0,6.45,522.0,0.47,24.52 +7023,Italy,2006,Zika,Chronic,4.02,8.6,9.4,19-35,Female,153467,55.01,1.57,1.21,Therapy,12479.0,No,75.77,4501.0,4.57,60624.0,0.57,73.0 +7030,South Korea,2016,Dengue,Genetic,15.43,9.55,2.53,19-35,Female,192506,63.52,2.07,1.1,Vaccination,43757.0,Yes,63.01,4707.0,7.59,93399.0,0.55,75.02 +7032,South Africa,2005,Ebola,Respiratory,18.8,6.66,4.79,19-35,Female,934491,58.73,4.89,6.18,Medication,48514.0,Yes,83.33,1797.0,5.51,35108.0,0.49,86.29 +7036,USA,2021,Ebola,Neurological,0.94,5.48,2.16,0-18,Male,755184,93.37,4.62,1.36,Vaccination,28623.0,No,63.37,4541.0,2.24,49739.0,0.43,29.1 +7043,Italy,2017,Leprosy,Neurological,14.79,12.48,8.01,0-18,Other,853446,66.65,1.85,8.64,Therapy,5566.0,Yes,80.45,3340.0,5.52,74715.0,0.76,31.4 +7048,South Korea,2010,Rabies,Neurological,10.81,3.28,5.3,61+,Other,524842,75.59,4.39,2.21,Medication,45483.0,No,80.59,2807.0,2.71,54969.0,0.46,81.82 +7049,India,2014,Rabies,Chronic,13.25,11.19,0.93,61+,Male,536630,95.48,3.07,6.48,Surgery,10872.0,No,72.08,1411.0,3.92,84732.0,0.89,69.29 +7054,Mexico,2022,Cancer,Neurological,6.77,3.19,8.85,19-35,Female,384506,78.71,1.74,6.85,Surgery,21111.0,Yes,96.48,1623.0,3.02,12266.0,0.75,59.57 +7060,Russia,2010,Leprosy,Genetic,15.88,11.08,2.86,0-18,Other,788062,76.71,3.77,5.94,Surgery,17858.0,Yes,89.12,59.0,4.16,80508.0,0.48,88.52 +7061,Japan,2018,Hypertension,Respiratory,14.19,6.05,0.61,61+,Male,68267,72.57,0.84,1.95,Therapy,39144.0,Yes,66.72,4335.0,7.88,23012.0,0.57,27.53 +7065,Argentina,2022,Polio,Cardiovascular,4.25,2.98,6.07,36-60,Female,130565,65.44,4.2,8.15,Surgery,22021.0,Yes,86.59,2653.0,0.12,37540.0,0.89,24.92 +7069,Mexico,2015,Leprosy,Chronic,19.68,14.6,0.88,36-60,Female,634603,99.18,4.01,3.58,Therapy,23057.0,No,54.65,2990.0,2.64,63569.0,0.79,83.69 +7072,USA,2018,Cholera,Parasitic,1.48,8.82,6.4,0-18,Other,373835,75.6,1.37,2.98,Medication,6866.0,No,80.27,1448.0,8.76,17991.0,0.85,35.71 +7073,Saudi Arabia,2018,Zika,Parasitic,10.97,10.66,3.08,61+,Female,170195,90.55,3.63,8.75,Surgery,44531.0,No,52.01,1943.0,5.18,72531.0,0.74,29.42 +7076,China,2007,HIV/AIDS,Cardiovascular,6.02,9.99,8.33,0-18,Female,139873,52.22,0.84,4.07,Medication,20711.0,Yes,57.34,1701.0,6.71,31191.0,0.75,25.04 +7081,Brazil,2010,Alzheimer's Disease,Genetic,18.51,9.4,3.27,36-60,Male,229369,56.37,1.94,1.01,Medication,33202.0,No,52.48,3853.0,6.69,38627.0,0.41,55.95 +7090,France,2012,Measles,Metabolic,8.68,6.48,5.99,61+,Male,693983,72.27,4.73,5.77,Vaccination,9777.0,Yes,80.65,567.0,2.67,75900.0,0.85,41.7 +7096,USA,2014,Hypertension,Metabolic,16.21,12.75,8.35,0-18,Male,212580,80.41,4.37,3.94,Surgery,21146.0,Yes,97.26,713.0,8.58,47794.0,0.4,79.38 +7099,South Africa,2013,Measles,Cardiovascular,18.3,5.38,0.74,19-35,Other,33495,71.24,2.55,9.16,Therapy,25521.0,Yes,90.51,311.0,6.9,78764.0,0.85,29.1 +7100,Mexico,2008,Alzheimer's Disease,Metabolic,16.33,8.53,2.43,0-18,Female,145346,77.66,3.8,8.72,Vaccination,10860.0,No,91.98,2814.0,5.5,10606.0,0.56,24.6 +7103,Japan,2024,COVID-19,Infectious,14.88,13.5,4.48,36-60,Male,11489,99.84,3.05,8.19,Medication,11463.0,Yes,70.44,4859.0,4.82,27211.0,0.51,71.25 +7114,UK,2007,Parkinson's Disease,Genetic,10.08,1.11,1.97,0-18,Male,77107,89.14,1.26,5.69,Surgery,30098.0,No,60.72,1187.0,7.58,48717.0,0.84,73.55 +7122,China,2003,COVID-19,Viral,0.98,9.02,4.89,36-60,Female,48377,65.85,3.12,6.04,Therapy,4859.0,Yes,81.38,4371.0,3.49,95454.0,0.67,23.98 +7123,France,2002,Influenza,Chronic,5.17,10.49,0.17,36-60,Male,158144,85.19,0.66,2.78,Therapy,22046.0,Yes,80.67,4421.0,0.71,12203.0,0.68,29.65 +7126,Turkey,2019,Diabetes,Autoimmune,9.7,12.71,6.56,61+,Female,825261,95.93,0.65,5.3,Vaccination,7599.0,No,62.68,816.0,3.94,87111.0,0.88,71.5 +7131,Japan,2002,Zika,Metabolic,9.87,1.16,3.67,36-60,Other,878568,93.92,0.82,7.33,Surgery,26519.0,Yes,78.41,942.0,4.74,57455.0,0.82,42.6 +7137,Argentina,2022,Measles,Parasitic,7.24,1.22,1.33,0-18,Other,482656,91.11,2.39,8.47,Therapy,29487.0,Yes,59.9,4946.0,4.05,86874.0,0.67,55.96 +7141,Russia,2014,Leprosy,Respiratory,14.21,5.68,6.35,19-35,Other,939342,72.83,3.07,3.93,Medication,1689.0,No,94.8,1148.0,1.92,19474.0,0.6,69.03 +7142,Russia,2007,Cancer,Parasitic,6.35,9.15,7.78,61+,Male,259413,89.37,4.36,2.27,Therapy,4332.0,No,55.89,3069.0,6.58,44127.0,0.75,62.73 +7144,Indonesia,2017,Parkinson's Disease,Chronic,19.77,5.0,3.91,0-18,Female,652209,81.65,3.86,8.12,Surgery,20250.0,No,60.51,674.0,5.72,52912.0,0.41,30.1 +7150,France,2023,Ebola,Genetic,2.21,1.81,3.71,61+,Female,517656,85.7,2.93,9.65,Vaccination,18129.0,No,98.66,4180.0,8.85,12869.0,0.65,58.57 +7165,USA,2011,Asthma,Bacterial,4.06,7.69,0.64,36-60,Male,5032,55.42,4.32,6.34,Surgery,4133.0,Yes,69.71,2704.0,9.17,48984.0,0.65,52.1 +7174,Nigeria,2021,Polio,Genetic,14.59,13.57,5.47,61+,Female,745347,60.72,4.49,4.6,Therapy,49398.0,No,50.96,399.0,4.53,43042.0,0.87,77.58 +7178,Canada,2013,Influenza,Infectious,3.29,5.67,0.45,61+,Other,573730,71.45,2.72,5.6,Medication,2432.0,No,60.57,3922.0,3.77,59841.0,0.72,23.59 +7182,India,2013,Rabies,Neurological,19.78,6.08,2.13,61+,Female,585845,68.12,4.73,4.91,Vaccination,37092.0,Yes,87.22,2801.0,7.8,32104.0,0.58,35.81 +7184,Nigeria,2022,Leprosy,Bacterial,0.39,6.52,3.68,19-35,Male,208096,96.37,1.14,9.93,Vaccination,12787.0,No,78.59,1050.0,2.26,89923.0,0.58,67.93 +7192,Mexico,2010,Malaria,Respiratory,11.79,10.8,4.86,0-18,Other,561213,61.14,1.72,3.86,Surgery,4709.0,No,65.27,1462.0,5.62,72940.0,0.65,51.63 +7195,Japan,2018,Malaria,Parasitic,17.24,3.12,2.48,61+,Male,505729,76.71,4.92,8.61,Surgery,12544.0,Yes,51.77,497.0,8.7,91627.0,0.57,69.74 +7196,Japan,2016,Hypertension,Metabolic,11.5,10.85,8.27,36-60,Other,534153,53.76,3.63,1.5,Surgery,47775.0,Yes,80.91,3538.0,3.71,58402.0,0.45,48.34 +7201,USA,2018,Ebola,Respiratory,16.94,2.86,0.92,61+,Female,835173,92.28,1.52,7.99,Vaccination,13387.0,Yes,92.75,2778.0,7.63,47404.0,0.55,66.99 +7204,Japan,2006,Dengue,Bacterial,2.52,1.61,1.37,0-18,Other,335192,62.99,4.4,7.53,Vaccination,32151.0,Yes,89.71,4009.0,5.11,20967.0,0.4,60.05 +7213,Indonesia,2003,Malaria,Genetic,12.1,5.44,5.85,36-60,Female,41058,85.4,1.37,5.78,Vaccination,38503.0,No,77.61,4197.0,6.03,46943.0,0.71,47.5 +7214,Mexico,2020,Polio,Viral,11.67,4.69,8.25,0-18,Male,497396,76.32,1.11,7.11,Medication,37750.0,Yes,82.74,3660.0,7.7,80531.0,0.86,74.01 +7219,Argentina,2015,Hypertension,Bacterial,4.67,0.99,5.24,0-18,Female,592570,96.73,2.79,6.87,Medication,37626.0,Yes,67.23,213.0,6.04,653.0,0.88,89.49 +7222,Brazil,2015,Zika,Infectious,0.13,7.62,3.62,36-60,Other,864064,53.15,2.6,9.05,Vaccination,8612.0,No,74.25,4900.0,8.63,28758.0,0.59,34.05 +7223,Turkey,2014,Rabies,Chronic,6.92,6.51,4.32,36-60,Male,621413,87.87,4.5,2.32,Vaccination,32243.0,No,63.61,154.0,9.04,10248.0,0.81,65.26 +7225,Italy,2002,Malaria,Parasitic,18.37,12.46,8.16,19-35,Female,899287,80.18,4.32,5.16,Surgery,48266.0,No,94.66,3308.0,2.52,62341.0,0.89,85.36 +7233,Argentina,2005,Diabetes,Neurological,6.07,6.16,3.94,61+,Male,99851,90.68,4.96,2.46,Medication,28605.0,No,92.04,3372.0,2.93,93754.0,0.59,84.86 +7246,USA,2008,Leprosy,Genetic,13.53,10.09,8.62,61+,Other,716611,67.99,1.72,8.31,Therapy,10548.0,No,58.8,2224.0,2.55,19652.0,0.71,24.2 +7252,South Korea,2019,Parkinson's Disease,Genetic,15.61,14.52,5.34,0-18,Female,419229,61.73,3.82,1.48,Therapy,49397.0,Yes,92.16,4010.0,4.24,61258.0,0.81,26.77 +7256,South Africa,2019,Tuberculosis,Autoimmune,1.7,7.08,4.51,36-60,Other,974928,66.51,4.66,7.8,Vaccination,22958.0,No,83.56,1570.0,5.08,93397.0,0.74,58.87 +7257,Saudi Arabia,2000,Ebola,Neurological,9.03,4.18,4.39,0-18,Female,711859,72.05,3.9,8.83,Therapy,40380.0,No,98.02,3010.0,2.32,14827.0,0.8,60.09 +7261,Indonesia,2012,Rabies,Metabolic,19.4,4.39,9.01,36-60,Male,418224,54.47,2.16,3.15,Vaccination,127.0,No,53.37,4731.0,1.13,82105.0,0.88,57.29 +7266,Russia,2021,Zika,Cardiovascular,16.17,7.54,3.65,0-18,Female,148708,82.33,1.29,7.11,Therapy,21457.0,Yes,92.48,2147.0,0.15,19704.0,0.9,40.42 +7268,Nigeria,2011,Ebola,Bacterial,8.28,13.19,4.82,61+,Other,55267,93.99,1.77,4.34,Surgery,19352.0,Yes,65.49,1786.0,0.36,47068.0,0.6,36.52 +7271,Brazil,2012,Hypertension,Chronic,10.11,7.29,1.32,36-60,Male,872824,94.01,1.02,7.09,Vaccination,2952.0,Yes,92.0,4039.0,6.2,86737.0,0.78,45.9 +7273,UK,2023,Asthma,Cardiovascular,6.35,8.65,1.31,19-35,Female,866844,61.49,0.66,9.12,Medication,29529.0,No,74.95,4849.0,7.48,62029.0,0.69,55.33 +7277,Mexico,2009,COVID-19,Metabolic,17.77,11.21,3.13,0-18,Other,862278,66.24,3.3,4.66,Medication,4944.0,No,84.52,2756.0,8.53,67790.0,0.53,28.79 +7279,Brazil,2020,Ebola,Metabolic,19.23,5.15,8.88,61+,Other,354286,72.23,3.08,6.28,Medication,10424.0,Yes,68.54,2007.0,4.32,42575.0,0.57,79.78 +7280,Argentina,2010,Asthma,Chronic,2.52,3.1,0.42,0-18,Other,207204,60.13,0.93,5.21,Medication,41204.0,Yes,88.46,2543.0,5.9,25227.0,0.75,53.85 +7281,Russia,2018,Asthma,Bacterial,1.15,0.13,6.85,61+,Male,561285,54.58,2.92,4.17,Surgery,39005.0,No,62.64,1763.0,7.17,27286.0,0.86,75.56 +7282,Turkey,2005,Leprosy,Infectious,9.45,4.01,6.55,0-18,Male,350929,72.3,3.78,6.71,Surgery,6130.0,Yes,68.78,335.0,4.5,94573.0,0.66,23.09 +7294,Italy,2022,Dengue,Neurological,10.52,1.79,9.11,36-60,Other,589802,98.06,0.81,6.8,Vaccination,2449.0,No,55.73,2884.0,6.91,56664.0,0.56,59.99 +7298,India,2005,COVID-19,Genetic,18.58,13.94,9.98,36-60,Other,817070,72.84,3.76,1.43,Vaccination,24302.0,No,60.36,3977.0,3.66,40467.0,0.81,43.18 +7311,USA,2013,Influenza,Metabolic,8.47,12.67,3.51,19-35,Male,615686,79.24,3.46,8.44,Therapy,8335.0,No,97.36,3549.0,9.1,93215.0,0.46,83.51 +7314,Indonesia,2020,Hypertension,Chronic,11.75,6.08,8.88,36-60,Female,26672,96.26,2.56,7.86,Therapy,22665.0,Yes,94.23,1039.0,5.93,2035.0,0.82,41.52 +7317,Turkey,2021,HIV/AIDS,Chronic,18.18,11.65,0.96,61+,Other,287786,77.68,4.56,6.91,Therapy,40341.0,Yes,69.49,2874.0,0.86,53413.0,0.84,25.61 +7319,China,2019,Cancer,Bacterial,11.59,14.97,7.78,0-18,Male,958282,69.92,2.09,3.56,Surgery,22719.0,Yes,76.79,1967.0,9.43,77135.0,0.77,53.12 +7322,South Korea,2023,Tuberculosis,Bacterial,7.44,6.69,4.65,19-35,Female,262402,63.36,1.14,4.66,Surgery,24728.0,Yes,61.83,4390.0,9.55,69081.0,0.42,33.72 +7326,USA,2003,Diabetes,Metabolic,3.55,3.47,7.48,0-18,Other,577364,64.26,0.57,6.71,Therapy,19044.0,Yes,77.07,3414.0,1.23,92543.0,0.54,57.98 +7328,Germany,2022,Parkinson's Disease,Infectious,15.24,4.15,3.49,36-60,Other,501920,91.35,1.35,0.72,Surgery,41973.0,Yes,89.9,331.0,2.06,43851.0,0.81,58.25 +7348,Brazil,2019,Cholera,Viral,5.85,0.66,9.85,0-18,Female,589875,82.91,4.02,1.04,Therapy,47921.0,Yes,58.26,2570.0,1.61,93027.0,0.44,76.3 +7353,Indonesia,2017,Dengue,Cardiovascular,10.51,13.4,0.96,36-60,Female,73933,80.56,3.08,6.6,Vaccination,22134.0,Yes,82.41,3759.0,2.59,25448.0,0.9,86.15 +7357,Argentina,2022,Diabetes,Viral,17.23,4.68,0.4,61+,Other,593891,62.06,0.7,6.75,Medication,22664.0,Yes,73.74,2476.0,1.52,61593.0,0.53,23.39 +7360,Germany,2005,COVID-19,Bacterial,11.16,5.91,4.12,19-35,Female,484884,75.7,1.83,6.71,Medication,39983.0,No,63.81,579.0,0.61,27381.0,0.51,45.24 +7363,Argentina,2007,Leprosy,Chronic,8.74,2.09,3.61,36-60,Female,31055,69.43,1.26,5.43,Medication,44153.0,No,91.78,623.0,9.5,16747.0,0.87,79.44 +7364,Turkey,2003,Malaria,Metabolic,0.41,11.75,1.41,19-35,Other,708085,81.46,0.92,4.47,Surgery,31258.0,No,67.73,1181.0,2.4,19230.0,0.75,45.85 +7371,South Africa,2019,Leprosy,Genetic,11.96,3.56,5.42,61+,Male,528661,54.79,1.64,6.52,Surgery,5870.0,Yes,76.72,4356.0,2.4,89845.0,0.72,30.4 +7372,Argentina,2001,Malaria,Chronic,6.96,10.0,0.74,61+,Male,319631,67.52,3.83,1.38,Medication,19508.0,No,92.48,951.0,9.09,9290.0,0.72,33.15 +7378,Mexico,2016,Cancer,Chronic,9.95,8.62,8.0,61+,Other,101567,92.43,2.05,7.83,Surgery,34443.0,No,51.61,1431.0,1.53,96886.0,0.51,72.78 +7380,Italy,2013,Polio,Infectious,8.55,7.26,4.32,61+,Male,508014,59.73,4.55,3.69,Surgery,45115.0,Yes,70.56,199.0,6.12,36728.0,0.74,82.04 +7389,USA,2000,Cancer,Metabolic,15.59,6.87,3.13,61+,Male,576984,83.79,2.87,1.74,Medication,13165.0,Yes,62.88,4155.0,8.63,61312.0,0.66,57.77 +7395,Italy,2003,Influenza,Chronic,4.18,13.79,6.18,36-60,Male,988912,52.72,4.57,2.81,Therapy,33402.0,Yes,75.38,4874.0,7.52,26691.0,0.49,81.13 +7397,Canada,2024,Measles,Infectious,1.83,7.35,4.78,36-60,Male,478559,93.82,1.13,9.0,Therapy,26448.0,Yes,69.35,1124.0,7.3,45286.0,0.67,25.04 +7400,South Africa,2020,COVID-19,Bacterial,14.87,5.44,7.51,19-35,Female,768839,73.95,3.18,0.65,Surgery,28197.0,No,65.03,3524.0,9.53,8272.0,0.89,66.99 +7412,Russia,2015,Alzheimer's Disease,Neurological,2.98,14.6,4.18,0-18,Female,371414,88.66,2.86,4.01,Medication,38383.0,No,59.62,1436.0,2.32,44901.0,0.53,88.68 +7426,Indonesia,2024,Measles,Chronic,12.47,10.64,2.83,0-18,Male,40826,88.32,1.17,1.12,Vaccination,29155.0,No,70.25,3338.0,9.5,14347.0,0.82,28.95 +7429,China,2020,Rabies,Parasitic,16.27,10.48,8.74,61+,Female,626140,84.47,2.18,4.62,Medication,26251.0,No,77.67,372.0,6.38,68865.0,0.8,61.23 +7431,China,2002,Ebola,Autoimmune,19.0,5.38,0.72,36-60,Female,447093,71.97,4.48,4.31,Therapy,29633.0,No,69.71,451.0,4.09,60934.0,0.6,48.1 +7444,Brazil,2004,Asthma,Autoimmune,7.19,7.92,3.71,0-18,Male,232287,73.56,3.65,7.12,Therapy,29498.0,No,57.99,525.0,7.35,27022.0,0.67,73.82 +7446,Australia,2005,Ebola,Genetic,14.48,6.62,6.54,61+,Other,150604,71.42,4.67,7.98,Surgery,12458.0,No,82.36,1129.0,3.96,69425.0,0.47,58.54 +7458,Brazil,2001,HIV/AIDS,Neurological,15.24,5.18,6.6,61+,Female,672089,91.38,3.73,3.49,Medication,41490.0,No,78.67,4000.0,5.79,19946.0,0.42,68.46 +7465,Argentina,2022,Parkinson's Disease,Neurological,15.76,12.32,1.98,19-35,Other,483494,61.66,3.63,8.94,Surgery,29294.0,Yes,95.69,2408.0,6.03,49282.0,0.81,36.97 +7466,Brazil,2003,Measles,Autoimmune,7.86,10.67,5.62,19-35,Male,721601,79.06,0.72,5.37,Surgery,17517.0,No,93.27,2339.0,1.9,937.0,0.49,70.01 +7468,USA,2002,HIV/AIDS,Cardiovascular,19.65,6.94,1.87,19-35,Female,233141,91.08,4.11,3.09,Surgery,32726.0,Yes,80.75,1038.0,7.0,91692.0,0.88,67.72 +7471,Italy,2018,Zika,Neurological,15.32,13.79,7.17,61+,Other,224399,68.39,3.69,8.86,Vaccination,42559.0,Yes,59.08,4319.0,5.43,39563.0,0.8,79.45 +7472,South Africa,2012,Hypertension,Bacterial,4.91,5.78,7.77,0-18,Female,569443,62.12,2.69,1.92,Medication,26755.0,No,52.39,3212.0,5.81,94943.0,0.65,64.2 +7478,South Africa,2008,COVID-19,Parasitic,5.32,8.16,6.77,36-60,Male,337644,55.31,2.99,2.36,Therapy,33491.0,Yes,57.3,2733.0,4.36,22337.0,0.88,77.55 +7484,Indonesia,2018,Cholera,Neurological,9.29,11.74,2.69,36-60,Other,665385,55.02,1.85,9.35,Vaccination,21235.0,Yes,59.98,399.0,8.23,1123.0,0.69,23.05 +7493,Russia,2023,Cancer,Parasitic,19.16,4.52,1.63,0-18,Female,254819,83.06,2.82,7.36,Medication,25288.0,Yes,76.4,3903.0,5.27,76014.0,0.78,59.1 +7494,Italy,2011,Alzheimer's Disease,Neurological,17.51,14.49,4.54,0-18,Female,723506,61.02,0.81,2.82,Vaccination,832.0,No,73.84,2154.0,7.2,70105.0,0.49,35.7 +7502,Germany,2010,Polio,Autoimmune,8.8,4.81,2.52,0-18,Female,908180,83.23,3.35,9.21,Surgery,40072.0,Yes,77.23,489.0,3.56,63611.0,0.53,70.64 +7511,Germany,2008,Cancer,Metabolic,0.21,4.76,6.64,36-60,Male,201460,65.39,1.42,6.72,Medication,7893.0,No,68.57,2941.0,2.53,53162.0,0.55,22.24 +7528,South Korea,2002,Polio,Respiratory,18.95,8.22,4.44,19-35,Male,762110,59.69,3.14,5.99,Therapy,13517.0,No,83.02,3943.0,0.59,28708.0,0.75,55.89 +7529,Russia,2004,Parkinson's Disease,Infectious,5.41,2.32,8.81,0-18,Female,764725,86.31,4.07,5.27,Therapy,38985.0,No,91.48,1484.0,0.65,31502.0,0.57,67.9 +7532,Germany,2007,Hypertension,Metabolic,7.7,14.57,7.58,0-18,Male,739388,98.72,4.71,2.63,Medication,4956.0,Yes,54.3,4634.0,3.3,58424.0,0.51,42.32 +7535,Indonesia,2016,Zika,Autoimmune,5.3,12.13,8.29,19-35,Male,879059,99.44,0.88,7.71,Surgery,43412.0,No,62.08,1548.0,7.19,95747.0,0.45,57.08 +7544,Russia,2018,Influenza,Neurological,15.38,1.62,6.37,36-60,Female,727349,51.73,3.1,2.45,Medication,37111.0,No,72.16,1759.0,7.76,86807.0,0.55,44.29 +7548,USA,2003,Rabies,Autoimmune,11.86,12.26,1.87,61+,Female,259879,69.1,4.75,8.74,Therapy,14510.0,No,72.83,836.0,5.39,64815.0,0.81,57.95 +7551,India,2016,HIV/AIDS,Bacterial,7.83,10.52,8.98,0-18,Male,934907,62.25,4.78,6.21,Medication,31084.0,No,98.64,3794.0,8.97,48915.0,0.45,52.83 +7555,Nigeria,2015,Alzheimer's Disease,Autoimmune,12.98,3.55,1.43,0-18,Male,185849,80.69,1.09,7.53,Therapy,1441.0,Yes,65.68,67.0,2.48,40199.0,0.61,29.8 +7562,Argentina,2017,Tuberculosis,Chronic,11.25,9.44,5.76,61+,Other,704492,78.18,2.68,9.06,Therapy,11474.0,No,93.36,3209.0,0.63,46678.0,0.82,63.8 +7563,Nigeria,2009,Influenza,Neurological,15.15,13.26,4.76,61+,Female,742718,88.54,2.45,6.19,Surgery,8135.0,Yes,74.06,2300.0,2.83,41536.0,0.5,59.01 +7571,China,2005,Alzheimer's Disease,Metabolic,9.54,9.64,5.1,61+,Female,655294,67.46,4.38,2.26,Surgery,40505.0,Yes,52.82,4766.0,1.92,57246.0,0.47,64.7 +7575,Nigeria,2005,Diabetes,Metabolic,1.31,6.07,7.86,36-60,Female,449470,90.88,4.93,8.88,Surgery,17791.0,No,93.59,2327.0,8.72,94151.0,0.76,59.88 +7580,USA,2020,Ebola,Viral,17.66,10.28,0.84,61+,Other,587726,61.92,0.58,8.16,Medication,7231.0,No,74.25,2790.0,1.4,58234.0,0.52,39.67 +7584,Nigeria,2000,Polio,Neurological,17.21,13.2,4.19,36-60,Male,892028,53.17,1.21,2.04,Therapy,20469.0,No,52.02,626.0,7.31,36645.0,0.68,54.96 +7587,Canada,2011,HIV/AIDS,Bacterial,19.48,12.73,1.77,19-35,Female,232096,67.95,1.74,7.83,Therapy,40257.0,No,87.92,141.0,4.28,44913.0,0.76,62.66 +7594,Indonesia,2006,Ebola,Genetic,12.7,7.66,3.75,0-18,Female,975230,97.4,0.98,2.9,Medication,19495.0,No,85.42,550.0,4.45,99084.0,0.53,56.9 +7596,Indonesia,2023,COVID-19,Parasitic,1.96,5.88,9.85,36-60,Male,759612,78.4,1.2,0.56,Vaccination,31141.0,No,50.78,1798.0,1.26,8326.0,0.52,27.57 +7602,South Korea,2004,Rabies,Viral,8.13,0.21,7.38,0-18,Other,902192,75.88,2.88,4.14,Therapy,37362.0,Yes,66.22,4308.0,2.97,68436.0,0.64,64.42 +7606,Brazil,2017,Cancer,Genetic,13.28,5.42,1.38,36-60,Female,749771,76.36,2.0,9.07,Medication,33108.0,Yes,96.69,3075.0,4.29,31677.0,0.8,46.23 +7607,South Africa,2021,Leprosy,Neurological,10.35,4.69,8.92,61+,Other,295530,56.46,3.88,1.87,Medication,44208.0,Yes,91.14,4553.0,0.94,17567.0,0.5,28.88 +7617,Italy,2015,Polio,Respiratory,13.13,0.29,1.26,61+,Male,669392,87.48,1.56,7.01,Vaccination,13896.0,No,51.1,128.0,4.27,67052.0,0.5,68.0 +7620,Turkey,2008,Tuberculosis,Cardiovascular,11.6,12.55,1.55,19-35,Other,917149,70.84,3.95,2.55,Therapy,36757.0,No,84.42,1022.0,7.71,52684.0,0.68,34.24 +7626,Mexico,2024,Dengue,Viral,13.25,5.93,3.08,19-35,Female,659724,62.68,3.44,6.31,Vaccination,42534.0,Yes,83.07,4105.0,5.4,6118.0,0.77,77.55 +7630,Turkey,2006,Zika,Autoimmune,0.41,8.76,1.09,61+,Female,505894,60.04,2.98,1.75,Vaccination,26220.0,Yes,64.33,1367.0,4.19,31175.0,0.8,87.71 +7631,Saudi Arabia,2001,Cancer,Viral,9.43,9.78,4.14,0-18,Female,583303,57.85,2.58,3.2,Therapy,40282.0,Yes,98.11,3770.0,0.25,72221.0,0.67,48.83 +7640,South Africa,2012,COVID-19,Neurological,1.55,12.9,3.59,36-60,Female,573088,75.49,3.39,6.01,Therapy,16984.0,Yes,75.51,2038.0,3.49,56664.0,0.53,60.04 +7644,UK,2001,Hypertension,Chronic,5.93,14.44,7.02,19-35,Other,741471,84.16,2.98,3.87,Surgery,36779.0,Yes,90.33,3580.0,0.03,27934.0,0.6,40.88 +7648,USA,2021,Diabetes,Genetic,9.38,12.85,3.07,36-60,Female,389031,76.89,2.74,0.61,Medication,22419.0,No,60.21,2053.0,3.56,65163.0,0.73,63.66 +7653,Indonesia,2012,Alzheimer's Disease,Respiratory,14.98,11.05,8.18,19-35,Female,674061,81.3,1.15,5.92,Vaccination,2761.0,Yes,83.97,219.0,4.86,91604.0,0.72,61.94 +7658,Germany,2018,Leprosy,Infectious,17.75,3.05,1.46,0-18,Other,568216,97.72,4.04,7.97,Surgery,45135.0,Yes,59.03,3298.0,9.65,40132.0,0.83,48.73 +7659,Japan,2023,Cholera,Bacterial,12.25,1.49,9.93,36-60,Female,164020,62.13,3.73,1.19,Therapy,12845.0,No,98.7,4019.0,9.36,67470.0,0.65,49.73 +7662,Turkey,2000,Tuberculosis,Viral,7.22,0.21,5.43,0-18,Other,136555,87.67,2.69,7.39,Vaccination,48149.0,Yes,76.51,3835.0,5.14,89984.0,0.43,47.57 +7664,India,2024,Ebola,Genetic,0.31,0.54,8.0,0-18,Male,757668,96.62,2.58,0.6,Vaccination,16626.0,Yes,71.79,755.0,5.48,97795.0,0.69,55.28 +7666,France,2002,Tuberculosis,Chronic,3.51,8.83,5.59,36-60,Other,628270,53.76,1.63,1.7,Medication,10760.0,Yes,97.79,4725.0,7.67,17209.0,0.44,24.42 +7669,Australia,2000,Measles,Genetic,16.72,4.07,4.33,19-35,Other,967662,73.53,3.37,0.56,Therapy,22481.0,Yes,51.3,293.0,4.87,12865.0,0.41,88.03 +7670,Mexico,2016,Tuberculosis,Autoimmune,7.79,5.6,1.52,36-60,Male,410657,74.08,2.96,4.6,Medication,6390.0,Yes,87.84,4736.0,1.21,15047.0,0.65,83.94 +7673,Saudi Arabia,2017,Zika,Parasitic,4.36,10.18,4.63,0-18,Female,336170,81.12,1.51,6.67,Therapy,45364.0,No,69.26,78.0,1.98,78379.0,0.63,50.67 +7674,India,2011,Rabies,Metabolic,16.81,6.58,1.49,61+,Male,633271,86.83,4.28,2.83,Medication,7243.0,No,68.73,1870.0,9.45,73690.0,0.75,57.23 +7679,Australia,2000,Influenza,Parasitic,16.71,0.89,5.56,36-60,Female,329630,96.18,4.89,1.1,Therapy,40264.0,No,80.69,3833.0,4.76,33348.0,0.81,49.11 +7685,Italy,2001,Influenza,Bacterial,11.13,2.42,1.16,61+,Other,689336,98.72,4.84,5.12,Surgery,35510.0,No,64.41,709.0,6.83,61641.0,0.55,69.69 +7688,South Africa,2001,HIV/AIDS,Cardiovascular,5.27,7.21,3.25,36-60,Female,702321,99.39,1.56,1.09,Medication,28897.0,Yes,82.44,1303.0,8.02,79827.0,0.88,45.34 +7689,South Africa,2001,Dengue,Bacterial,0.27,0.99,8.84,19-35,Male,672293,79.98,2.91,6.43,Surgery,31611.0,Yes,91.29,1458.0,7.09,92120.0,0.55,23.31 +7692,Brazil,2023,Zika,Autoimmune,7.6,4.48,9.11,61+,Male,512314,80.74,4.03,9.53,Therapy,24359.0,Yes,85.76,4660.0,5.53,87702.0,0.6,33.85 +7694,Australia,2019,Hepatitis,Metabolic,5.97,2.21,5.19,0-18,Male,740801,99.49,2.85,5.22,Therapy,49742.0,Yes,74.48,655.0,9.09,30427.0,0.7,40.08 +7695,France,2021,Malaria,Metabolic,10.47,1.24,7.96,19-35,Male,537335,72.24,0.94,0.58,Medication,39629.0,Yes,51.44,2009.0,5.35,86519.0,0.53,25.86 +7696,Nigeria,2012,Ebola,Chronic,2.67,9.79,0.86,19-35,Male,460243,75.84,1.54,4.76,Medication,41626.0,No,78.18,2064.0,9.66,43079.0,0.72,64.68 +7697,Indonesia,2023,Polio,Respiratory,17.45,12.81,8.89,36-60,Other,12332,83.05,3.53,6.58,Surgery,43197.0,No,70.74,838.0,4.21,29260.0,0.47,89.37 +7699,Saudi Arabia,2014,Influenza,Chronic,12.26,12.85,6.1,61+,Female,475844,54.1,2.22,9.86,Vaccination,21591.0,No,87.77,106.0,2.92,36959.0,0.51,51.32 +7702,Italy,2024,Cholera,Parasitic,14.95,2.59,3.11,61+,Male,160261,72.6,4.19,6.63,Surgery,7268.0,No,87.5,1050.0,8.87,35670.0,0.77,27.54 +7703,Brazil,2005,Diabetes,Viral,18.08,10.44,8.97,19-35,Other,677721,84.44,2.07,7.51,Medication,19667.0,Yes,67.33,3856.0,7.51,70438.0,0.67,88.56 +7709,South Korea,2015,Asthma,Infectious,15.37,1.81,7.44,19-35,Female,131780,65.21,2.12,2.68,Surgery,22889.0,No,55.36,1216.0,6.32,22458.0,0.62,37.14 +7718,Germany,2002,Diabetes,Cardiovascular,16.68,10.75,7.83,61+,Female,965360,68.95,3.65,1.42,Surgery,15290.0,Yes,59.84,78.0,0.2,59311.0,0.8,34.03 +7722,Brazil,2006,Influenza,Respiratory,2.21,0.98,3.21,19-35,Other,867986,79.57,4.26,9.84,Therapy,21525.0,No,59.65,1770.0,9.21,44612.0,0.87,64.47 +7725,Brazil,2016,Cholera,Respiratory,7.81,6.43,4.63,36-60,Female,40354,73.58,2.14,2.35,Vaccination,13496.0,No,65.83,970.0,1.68,72163.0,0.42,84.39 +7737,Australia,2009,HIV/AIDS,Viral,7.0,9.02,7.58,36-60,Male,826124,94.4,0.86,0.99,Vaccination,20422.0,No,50.58,4766.0,4.66,91183.0,0.46,33.56 +7738,Italy,2011,Parkinson's Disease,Viral,6.23,0.9,2.51,0-18,Male,835770,86.3,4.21,3.97,Surgery,4949.0,Yes,85.26,3098.0,6.85,1550.0,0.68,29.73 +7739,Indonesia,2023,Hepatitis,Metabolic,15.56,7.64,6.4,36-60,Female,143324,62.09,3.82,1.49,Therapy,3770.0,No,98.29,3470.0,9.76,36549.0,0.71,74.23 +7742,Germany,2011,Zika,Neurological,18.97,1.94,0.45,61+,Male,991946,80.79,3.19,3.6,Medication,49259.0,No,80.48,3041.0,0.23,96033.0,0.46,48.86 +7752,Argentina,2023,Asthma,Cardiovascular,10.49,14.54,6.31,19-35,Other,445299,66.1,0.81,1.32,Vaccination,18959.0,No,67.44,4488.0,2.83,8714.0,0.53,70.94 +7755,Australia,2019,Parkinson's Disease,Chronic,11.14,3.92,4.98,0-18,Male,640713,93.34,1.96,8.93,Medication,12764.0,No,62.34,1859.0,8.7,18723.0,0.78,34.47 +7762,South Africa,2005,Asthma,Viral,12.15,7.51,3.76,19-35,Other,910212,86.98,1.32,8.07,Medication,11272.0,Yes,62.99,2842.0,9.78,22402.0,0.54,84.62 +7766,Mexico,2019,Ebola,Parasitic,8.32,10.97,8.77,19-35,Male,690203,62.47,3.81,7.23,Surgery,36503.0,Yes,51.85,608.0,1.89,38101.0,0.72,31.6 +7771,Brazil,2009,Measles,Chronic,10.38,2.68,5.39,61+,Male,730059,80.44,4.57,2.67,Medication,37879.0,Yes,96.09,1551.0,7.75,24331.0,0.89,25.41 +7773,Nigeria,2015,Dengue,Genetic,13.21,5.12,9.13,0-18,Other,550571,58.51,3.13,9.19,Therapy,32625.0,Yes,70.53,891.0,2.43,1637.0,0.57,33.15 +7774,Italy,2017,Ebola,Viral,3.41,1.51,8.26,36-60,Male,801380,54.68,0.79,9.63,Surgery,22066.0,No,70.44,665.0,4.73,26812.0,0.69,42.2 +7778,South Africa,2002,Polio,Bacterial,18.0,7.69,2.97,19-35,Male,613634,59.38,3.77,4.55,Medication,29579.0,Yes,79.26,1216.0,9.95,24871.0,0.56,89.88 +7783,Italy,2017,Parkinson's Disease,Infectious,2.07,11.12,2.1,36-60,Male,626683,93.99,3.46,8.76,Medication,9739.0,Yes,94.2,1018.0,4.04,50857.0,0.67,64.07 +7784,China,2002,Influenza,Cardiovascular,19.8,13.54,1.8,0-18,Other,403059,67.05,2.64,4.32,Surgery,6539.0,Yes,59.17,4406.0,7.83,28395.0,0.51,30.68 +7785,Saudi Arabia,2005,Asthma,Neurological,7.58,7.75,6.26,19-35,Other,541668,58.38,4.57,9.24,Vaccination,45518.0,No,57.24,1592.0,6.28,82139.0,0.41,72.95 +7791,Nigeria,2007,Measles,Autoimmune,2.7,3.61,9.24,36-60,Male,623372,86.74,1.6,9.79,Surgery,4533.0,No,77.38,2271.0,4.64,3242.0,0.81,83.89 +7799,Nigeria,2004,Rabies,Chronic,7.69,9.9,9.0,36-60,Female,637654,82.84,0.86,3.36,Therapy,7606.0,Yes,65.51,1209.0,8.45,51143.0,0.42,61.98 +7800,Japan,2015,Cancer,Neurological,2.35,10.63,2.86,36-60,Female,273157,60.27,1.91,1.71,Vaccination,12157.0,Yes,85.41,1798.0,7.06,31903.0,0.88,41.31 +7801,India,2009,Leprosy,Parasitic,4.87,3.98,7.46,0-18,Male,797118,72.72,4.33,3.2,Vaccination,39255.0,Yes,74.13,638.0,5.31,50134.0,0.48,89.43 +7807,France,2010,Tuberculosis,Respiratory,1.99,3.46,4.95,36-60,Female,448280,76.88,1.45,8.25,Therapy,36049.0,No,78.11,3988.0,0.94,47850.0,0.42,70.59 +7818,USA,2008,Hypertension,Genetic,3.29,5.2,4.42,36-60,Male,891670,65.86,4.6,0.58,Therapy,45604.0,Yes,67.66,3317.0,2.76,38849.0,0.72,63.54 +7819,France,2000,Alzheimer's Disease,Respiratory,14.19,8.68,5.24,19-35,Female,927442,77.25,2.62,2.8,Surgery,33713.0,Yes,63.55,4664.0,7.84,62944.0,0.52,71.14 +7823,South Africa,2012,Zika,Chronic,15.1,11.31,3.13,19-35,Female,67553,76.69,4.39,6.07,Surgery,21188.0,No,70.32,2193.0,1.05,58040.0,0.74,59.6 +7824,Brazil,2022,Asthma,Viral,0.78,6.13,2.23,0-18,Male,338964,81.43,4.69,8.44,Therapy,18511.0,Yes,50.37,2751.0,4.23,37621.0,0.56,38.17 +7827,Saudi Arabia,2017,Parkinson's Disease,Cardiovascular,5.62,13.19,4.96,36-60,Other,78240,78.66,2.01,3.81,Surgery,2556.0,No,89.91,4313.0,6.18,89269.0,0.57,79.21 +7831,Canada,2018,Cholera,Chronic,9.83,4.08,9.25,0-18,Male,748463,81.41,4.33,2.09,Surgery,3530.0,No,71.52,4109.0,9.35,57398.0,0.67,25.98 +7839,South Africa,2014,Zika,Bacterial,8.81,10.63,1.88,0-18,Female,763074,91.51,2.23,9.58,Medication,42731.0,Yes,74.75,4934.0,9.35,90468.0,0.72,49.73 +7841,China,2015,Leprosy,Neurological,12.58,2.5,9.41,0-18,Other,791558,88.05,1.99,8.96,Therapy,33870.0,No,54.73,1307.0,5.99,60146.0,0.71,87.11 +7842,Australia,2018,Parkinson's Disease,Viral,16.45,6.26,2.0,36-60,Female,792727,83.35,4.04,1.98,Medication,4078.0,No,71.55,3517.0,8.73,76325.0,0.78,73.46 +7852,Italy,2012,Alzheimer's Disease,Respiratory,13.22,12.74,8.54,0-18,Other,591468,61.26,4.68,0.74,Medication,17141.0,No,76.84,3972.0,5.38,85543.0,0.82,61.73 +7857,Italy,2009,Ebola,Parasitic,11.13,5.03,9.89,0-18,Other,735040,66.17,2.79,2.17,Medication,15628.0,Yes,64.46,3679.0,5.38,87720.0,0.55,63.99 +7860,Russia,2008,Hepatitis,Neurological,9.2,12.04,4.27,36-60,Female,161830,83.88,1.23,9.02,Medication,47634.0,No,69.17,1411.0,6.85,38603.0,0.9,57.16 +7868,France,2003,Rabies,Neurological,1.09,0.77,3.37,61+,Female,456767,59.05,2.21,8.51,Surgery,31693.0,Yes,95.39,2342.0,6.43,11961.0,0.89,75.77 +7873,France,2015,Diabetes,Genetic,12.29,0.21,1.26,19-35,Female,382159,86.06,1.51,9.8,Vaccination,29382.0,No,63.36,1066.0,4.81,19506.0,0.56,54.57 +7876,Turkey,2018,Hypertension,Neurological,18.99,6.06,1.82,0-18,Other,957690,87.72,1.75,7.09,Vaccination,44564.0,No,72.43,2642.0,9.93,30483.0,0.83,64.95 +7880,Saudi Arabia,2015,Dengue,Genetic,16.89,5.46,4.43,61+,Female,459842,94.42,2.92,3.29,Therapy,41533.0,Yes,81.37,4085.0,0.46,46389.0,0.8,26.49 +7883,Nigeria,2007,COVID-19,Parasitic,19.24,5.88,4.29,61+,Male,480087,63.91,2.56,4.25,Medication,3319.0,Yes,78.73,2096.0,0.45,85495.0,0.65,69.27 +7888,France,2021,HIV/AIDS,Genetic,17.82,12.46,3.33,61+,Other,653189,63.81,0.61,7.95,Vaccination,4734.0,Yes,59.67,4270.0,3.25,17703.0,0.79,30.4 +7889,Argentina,2007,Influenza,Bacterial,11.65,12.28,6.75,36-60,Female,871856,84.17,0.9,3.02,Medication,22512.0,Yes,98.23,73.0,1.23,19628.0,0.43,21.29 +7890,India,2008,Zika,Metabolic,14.78,11.92,0.16,36-60,Other,432891,62.05,1.54,3.78,Vaccination,45474.0,Yes,55.01,2753.0,3.39,47146.0,0.82,51.84 +7899,Brazil,2013,Dengue,Respiratory,17.89,11.59,8.22,36-60,Male,907040,90.58,3.18,7.65,Vaccination,37565.0,No,51.44,45.0,9.62,58050.0,0.54,80.44 +7902,Nigeria,2008,Malaria,Chronic,15.72,14.42,3.46,0-18,Female,633428,83.92,0.81,3.5,Medication,31562.0,Yes,77.78,942.0,6.89,34842.0,0.6,24.62 +7907,China,2006,Alzheimer's Disease,Neurological,19.71,2.01,1.32,36-60,Male,616813,92.78,4.66,6.7,Therapy,3300.0,Yes,89.69,3530.0,4.57,33841.0,0.58,52.31 +7913,Russia,2011,Dengue,Cardiovascular,3.56,13.31,0.41,36-60,Male,308287,69.7,4.77,3.45,Vaccination,15241.0,No,88.17,2988.0,3.33,14721.0,0.67,35.91 +7914,Nigeria,2009,COVID-19,Genetic,5.85,5.74,7.52,36-60,Other,68464,85.31,2.53,5.23,Vaccination,29596.0,Yes,54.46,4480.0,9.69,14143.0,0.79,78.77 +7917,UK,2002,Cancer,Autoimmune,0.18,9.33,0.99,61+,Male,312038,77.45,3.52,4.04,Surgery,42790.0,No,51.2,2851.0,7.64,93113.0,0.74,56.76 +7924,Canada,2018,Hepatitis,Genetic,18.62,5.32,9.69,0-18,Other,25458,74.96,4.23,2.81,Surgery,17442.0,No,58.17,3292.0,3.19,78786.0,0.68,37.61 +7926,UK,2021,Cancer,Neurological,2.7,2.28,8.83,0-18,Male,854621,54.9,2.26,1.53,Vaccination,36713.0,No,62.83,2602.0,2.26,51158.0,0.42,72.22 +7930,Argentina,2011,Tuberculosis,Infectious,10.26,13.91,0.17,0-18,Female,754352,60.42,2.15,8.86,Vaccination,8614.0,No,73.91,4823.0,0.87,90883.0,0.52,82.21 +7931,India,2021,Tuberculosis,Autoimmune,19.4,12.07,6.45,19-35,Female,43060,99.81,3.53,3.78,Medication,7794.0,No,81.16,3487.0,5.05,22578.0,0.56,41.11 +7934,South Korea,2020,Tuberculosis,Metabolic,3.31,10.54,4.74,36-60,Other,456512,86.84,4.11,5.4,Surgery,7902.0,No,78.71,2993.0,0.08,32531.0,0.54,22.64 +7936,Argentina,2019,Diabetes,Chronic,15.21,13.2,7.04,0-18,Other,104324,69.29,2.51,1.55,Medication,19892.0,Yes,62.39,4418.0,6.62,95083.0,0.72,31.15 +7938,Brazil,2013,Alzheimer's Disease,Bacterial,12.26,8.08,2.48,0-18,Male,504150,96.26,4.43,8.67,Medication,19237.0,Yes,76.74,2772.0,3.12,15781.0,0.87,38.2 +7948,Germany,2001,HIV/AIDS,Viral,5.84,11.82,9.01,36-60,Male,533812,50.24,0.97,9.67,Surgery,175.0,Yes,74.48,834.0,8.73,6668.0,0.42,54.04 +7958,Brazil,2010,Hepatitis,Bacterial,13.88,10.37,7.26,19-35,Other,103527,87.23,1.63,9.25,Therapy,6064.0,No,91.91,2640.0,9.11,76010.0,0.62,80.34 +7970,USA,2012,Asthma,Viral,7.5,0.35,4.97,36-60,Female,885135,82.6,1.74,4.36,Surgery,32360.0,Yes,53.59,1488.0,2.36,39930.0,0.47,87.61 +7972,South Korea,2009,COVID-19,Viral,15.1,7.66,0.75,36-60,Other,867421,50.09,4.45,7.07,Surgery,23126.0,No,95.47,3678.0,1.43,79788.0,0.51,77.65 +7983,Italy,2009,Asthma,Infectious,12.79,9.24,9.94,61+,Male,503213,58.89,3.95,6.56,Surgery,32353.0,Yes,54.25,2185.0,1.19,68832.0,0.44,81.42 +7985,Nigeria,2015,Hepatitis,Genetic,4.27,14.9,3.95,19-35,Other,48208,83.21,2.12,3.21,Medication,28874.0,No,61.61,3103.0,2.66,78747.0,0.43,47.07 +7988,China,2007,Leprosy,Respiratory,6.1,5.03,9.88,0-18,Other,490281,96.11,4.73,9.72,Medication,30628.0,Yes,90.64,358.0,1.56,46355.0,0.51,37.18 +7989,Italy,2022,Dengue,Cardiovascular,2.62,14.06,2.12,61+,Female,292382,59.77,4.32,6.0,Therapy,27629.0,No,78.7,163.0,4.45,68791.0,0.42,62.96 +7994,France,2006,Influenza,Metabolic,2.57,0.46,1.84,36-60,Male,2006,90.3,4.67,5.84,Surgery,41704.0,Yes,63.88,3805.0,6.45,72350.0,0.66,70.45 +7995,South Korea,2024,Influenza,Bacterial,15.62,3.78,7.28,19-35,Other,451987,79.16,1.37,4.64,Medication,26061.0,Yes,55.34,957.0,1.69,47608.0,0.85,59.54 +8001,Saudi Arabia,2013,Hypertension,Bacterial,17.8,0.3,5.67,19-35,Other,387240,94.28,2.52,6.5,Surgery,21165.0,Yes,59.03,2405.0,0.77,20079.0,0.45,21.14 +8010,Mexico,2013,Parkinson's Disease,Respiratory,8.51,0.23,1.08,61+,Male,936726,59.37,4.04,4.82,Vaccination,1022.0,No,88.62,4472.0,5.22,3671.0,0.47,64.58 +8013,Turkey,2016,Dengue,Parasitic,15.14,7.44,3.89,36-60,Female,927356,68.79,3.4,3.84,Medication,30721.0,Yes,86.86,1942.0,9.8,89178.0,0.59,84.01 +8018,India,2000,Influenza,Parasitic,15.31,7.71,6.14,61+,Female,252917,59.97,1.83,2.46,Therapy,26513.0,Yes,87.29,2607.0,8.43,92213.0,0.48,77.27 +8029,Australia,2017,Hepatitis,Genetic,8.93,4.0,6.01,19-35,Female,669687,81.29,4.26,1.05,Vaccination,44655.0,Yes,56.62,4200.0,2.83,32358.0,0.78,86.79 +8032,France,2015,Diabetes,Parasitic,4.32,0.25,2.13,61+,Female,848200,59.6,1.2,7.11,Surgery,9885.0,Yes,83.98,535.0,5.18,14582.0,0.4,81.09 +8035,Canada,2020,Zika,Chronic,15.52,2.35,1.31,61+,Male,608120,95.21,1.63,7.01,Vaccination,34334.0,Yes,64.45,3838.0,5.23,71193.0,0.8,44.93 +8046,Brazil,2001,Asthma,Respiratory,7.09,11.7,8.65,19-35,Other,604708,50.66,4.71,8.67,Therapy,8812.0,Yes,76.23,2555.0,9.12,22529.0,0.53,79.35 +8048,Brazil,2004,Diabetes,Chronic,7.05,11.73,6.43,0-18,Other,245047,59.16,1.42,5.68,Surgery,20187.0,Yes,94.84,2884.0,2.52,77200.0,0.85,83.0 +8054,Saudi Arabia,2007,Leprosy,Cardiovascular,2.18,8.2,4.77,61+,Female,309608,94.13,3.91,6.42,Therapy,16180.0,Yes,74.98,681.0,4.76,43675.0,0.85,58.27 +8060,China,2016,Diabetes,Respiratory,4.27,6.38,8.04,36-60,Female,6055,60.22,2.31,7.44,Therapy,20048.0,No,77.47,2295.0,9.88,54553.0,0.6,45.07 +8065,India,2013,Parkinson's Disease,Cardiovascular,15.01,1.62,9.31,61+,Other,112413,65.19,0.91,6.67,Medication,19527.0,Yes,69.0,1605.0,0.31,1652.0,0.88,48.06 +8070,India,2020,Influenza,Chronic,14.04,11.59,1.29,0-18,Male,228499,84.77,2.75,1.96,Surgery,9193.0,No,95.79,1894.0,4.65,33314.0,0.86,44.12 +8071,Mexico,2018,Alzheimer's Disease,Neurological,16.76,4.07,7.33,0-18,Female,375802,57.94,0.6,0.82,Surgery,18278.0,No,61.43,2038.0,0.42,72116.0,0.67,75.1 +8073,France,2014,HIV/AIDS,Chronic,18.27,10.15,1.74,19-35,Other,257315,78.31,4.92,4.26,Medication,3130.0,No,53.7,3848.0,4.99,17354.0,0.68,69.97 +8074,France,2017,Zika,Viral,11.9,0.17,8.52,19-35,Other,207521,70.69,2.38,4.06,Surgery,31376.0,No,64.85,3782.0,6.87,32513.0,0.84,64.05 +8075,South Korea,2016,Dengue,Respiratory,4.32,0.48,8.92,61+,Female,736557,63.02,2.31,9.52,Therapy,48064.0,No,65.64,3429.0,0.71,40021.0,0.6,63.38 +8094,Brazil,2017,Rabies,Cardiovascular,15.53,2.06,7.59,61+,Male,45946,82.81,2.51,2.31,Therapy,22815.0,Yes,79.28,1446.0,8.43,11182.0,0.81,37.95 +8099,UK,2001,Leprosy,Cardiovascular,16.56,1.92,4.45,0-18,Female,755634,63.39,1.8,5.69,Medication,33786.0,Yes,83.88,3111.0,3.28,74273.0,0.67,35.43 +8107,Australia,2016,Malaria,Metabolic,4.21,4.35,6.94,19-35,Male,786587,83.0,2.98,8.54,Medication,42199.0,No,53.52,3634.0,1.1,73233.0,0.67,60.81 +8109,Australia,2019,Measles,Cardiovascular,7.31,10.95,3.67,61+,Other,558026,99.62,2.8,9.95,Therapy,23823.0,No,91.56,4008.0,8.94,40449.0,0.59,89.08 +8112,UK,2015,COVID-19,Viral,1.69,1.85,2.68,36-60,Other,671869,83.28,1.25,3.99,Medication,3809.0,Yes,51.68,2271.0,8.49,20661.0,0.74,67.16 +8115,Argentina,2017,COVID-19,Metabolic,11.18,9.23,0.76,36-60,Female,912683,74.61,2.18,9.03,Surgery,9076.0,Yes,52.44,3742.0,8.65,6814.0,0.45,76.62 +8123,Saudi Arabia,2023,Zika,Metabolic,18.31,10.32,4.97,36-60,Other,611764,95.31,2.02,7.64,Vaccination,25989.0,Yes,69.78,4088.0,8.73,35694.0,0.61,82.01 +8126,South Korea,2005,Leprosy,Bacterial,1.53,2.31,8.48,36-60,Male,776115,93.25,4.35,1.66,Vaccination,6600.0,Yes,96.39,4127.0,6.73,50077.0,0.76,39.35 +8130,South Africa,2003,Leprosy,Genetic,11.81,6.83,9.08,61+,Female,662933,79.48,2.28,4.97,Therapy,9620.0,Yes,73.93,1453.0,6.17,48137.0,0.61,35.6 +8131,Turkey,2008,Rabies,Respiratory,1.92,12.08,5.68,61+,Female,2279,52.78,3.42,6.23,Therapy,34307.0,No,79.04,2853.0,6.95,91922.0,0.7,40.98 +8144,UK,2001,Asthma,Cardiovascular,9.36,14.96,8.72,36-60,Male,566680,73.48,4.1,6.16,Vaccination,26685.0,No,71.65,2941.0,9.74,48269.0,0.44,42.04 +8145,Brazil,2020,Cancer,Parasitic,12.87,5.83,8.97,61+,Female,178869,58.56,3.03,3.7,Therapy,27499.0,No,60.02,3108.0,3.29,29959.0,0.59,61.03 +8149,Russia,2015,Tuberculosis,Viral,9.39,13.98,2.78,0-18,Other,654181,93.96,4.85,8.32,Medication,12328.0,No,86.33,4859.0,4.71,12618.0,0.55,46.82 +8150,China,2018,Polio,Neurological,2.13,3.45,6.63,36-60,Male,490349,67.08,0.62,6.51,Medication,36768.0,No,53.26,1329.0,2.44,98576.0,0.52,44.01 +8154,Turkey,2014,Tuberculosis,Viral,13.29,14.51,1.16,19-35,Female,710450,56.1,1.96,0.67,Therapy,31981.0,Yes,64.27,546.0,5.15,60514.0,0.64,35.85 +8162,Germany,2019,Ebola,Chronic,9.61,5.42,3.75,0-18,Female,884996,88.5,1.73,3.47,Medication,42853.0,Yes,87.08,1926.0,7.78,3689.0,0.61,73.08 +8164,Germany,2024,Diabetes,Infectious,3.72,1.79,4.26,36-60,Male,821782,83.21,3.14,1.25,Vaccination,16577.0,Yes,54.3,393.0,1.38,67947.0,0.59,27.76 +8165,China,2005,Parkinson's Disease,Cardiovascular,16.92,9.96,5.11,36-60,Female,371703,79.17,1.49,2.23,Surgery,28556.0,No,52.71,4728.0,5.12,50175.0,0.58,42.91 +8166,Indonesia,2011,Dengue,Bacterial,2.75,1.13,7.52,19-35,Female,47238,75.61,4.52,7.5,Vaccination,30465.0,No,53.92,3312.0,2.91,89027.0,0.66,79.28 +8171,Brazil,2008,Polio,Parasitic,8.48,12.73,4.3,19-35,Other,870121,58.45,4.73,5.14,Therapy,27132.0,No,52.53,3548.0,7.9,1747.0,0.66,52.48 +8173,India,2014,Tuberculosis,Respiratory,6.13,10.39,0.72,61+,Female,725530,56.39,3.11,2.9,Surgery,32818.0,Yes,64.17,1163.0,0.35,30919.0,0.85,25.46 +8176,Argentina,2017,Ebola,Viral,6.37,6.75,4.92,61+,Female,832734,75.67,2.4,0.77,Vaccination,4954.0,Yes,70.0,3182.0,7.53,8170.0,0.74,36.39 +8185,Russia,2008,Cholera,Viral,16.27,0.52,9.5,19-35,Other,800874,57.79,3.44,0.52,Surgery,3431.0,Yes,63.71,569.0,6.24,50678.0,0.62,85.87 +8188,Canada,2005,Leprosy,Cardiovascular,1.4,13.52,6.99,61+,Male,298866,77.68,2.26,0.57,Vaccination,49358.0,No,91.73,3194.0,3.57,49212.0,0.64,69.46 +8189,China,2012,Tuberculosis,Cardiovascular,17.47,6.52,2.86,36-60,Male,544154,54.56,4.27,2.57,Surgery,43229.0,No,80.63,770.0,1.87,65799.0,0.72,71.58 +8194,USA,2002,Cancer,Chronic,4.93,4.2,0.7,61+,Other,8398,71.83,4.05,8.25,Medication,23851.0,Yes,51.27,3529.0,2.24,1367.0,0.8,39.95 +8199,Turkey,2020,Measles,Parasitic,13.04,9.18,5.74,19-35,Other,798670,56.11,4.96,3.81,Vaccination,41071.0,Yes,79.45,1782.0,9.98,47156.0,0.8,80.24 +8200,UK,2006,Hypertension,Bacterial,13.81,5.82,2.79,61+,Female,616045,90.38,3.34,5.54,Surgery,44245.0,Yes,54.46,2895.0,1.78,74713.0,0.88,45.41 +8207,Saudi Arabia,2019,Polio,Cardiovascular,2.64,10.86,3.23,61+,Other,435119,83.15,0.57,3.8,Therapy,44981.0,No,54.25,3637.0,4.3,36577.0,0.5,35.82 +8219,South Korea,2018,Influenza,Respiratory,10.56,9.45,0.13,0-18,Other,537399,85.25,1.22,9.74,Therapy,37109.0,Yes,75.37,4920.0,4.65,82788.0,0.61,41.57 +8222,Italy,2021,Asthma,Chronic,3.46,14.61,5.41,19-35,Female,378698,53.4,2.17,7.29,Therapy,44430.0,No,79.11,4241.0,4.23,92395.0,0.84,22.68 +8238,Argentina,2014,Malaria,Metabolic,3.27,0.85,5.5,0-18,Other,990096,62.42,4.62,0.89,Surgery,5450.0,Yes,59.51,2488.0,8.52,2453.0,0.46,34.75 +8243,Mexico,2022,Rabies,Cardiovascular,7.56,7.26,8.59,61+,Female,394620,61.24,1.77,6.91,Surgery,36530.0,Yes,87.53,1354.0,2.98,44275.0,0.44,80.25 +8248,Italy,2018,Hepatitis,Metabolic,18.83,7.77,1.12,0-18,Other,112384,90.71,3.81,6.23,Therapy,21474.0,No,96.44,996.0,7.98,2507.0,0.77,38.69 +8258,Germany,2004,Polio,Genetic,17.46,3.12,2.07,36-60,Other,822589,53.87,2.3,5.65,Surgery,27459.0,No,66.9,2448.0,0.32,96080.0,0.63,38.32 +8262,Australia,2003,COVID-19,Genetic,0.58,5.9,8.24,36-60,Other,828445,54.65,2.76,8.25,Vaccination,33799.0,Yes,83.29,4653.0,6.2,4639.0,0.69,44.67 +8267,Mexico,2019,Alzheimer's Disease,Metabolic,9.48,10.61,3.44,36-60,Male,662692,61.58,3.93,4.19,Surgery,30834.0,Yes,70.94,4972.0,7.0,82746.0,0.52,50.48 +8269,South Africa,2020,Asthma,Neurological,11.06,8.05,9.02,36-60,Male,718462,63.66,0.91,1.29,Medication,24958.0,Yes,90.68,4153.0,7.78,90453.0,0.85,33.45 +8271,Mexico,2018,Influenza,Viral,9.68,3.9,5.49,36-60,Male,215071,83.89,0.97,1.36,Medication,29966.0,Yes,76.21,2752.0,8.11,64277.0,0.45,63.76 +8274,China,2002,COVID-19,Metabolic,1.95,13.51,1.85,19-35,Other,765041,96.79,2.1,3.18,Surgery,27008.0,No,63.56,1959.0,5.88,40408.0,0.64,30.91 +8275,Japan,2010,Influenza,Cardiovascular,5.58,10.66,5.23,19-35,Male,175469,72.06,2.32,5.38,Surgery,7446.0,Yes,79.49,257.0,4.4,86206.0,0.84,57.89 +8287,Argentina,2003,Dengue,Genetic,13.14,11.47,7.98,19-35,Other,381183,54.89,0.77,5.45,Surgery,48459.0,No,92.35,3066.0,9.1,78721.0,0.88,21.14 +8295,China,2002,Measles,Autoimmune,7.55,2.42,8.03,19-35,Other,351642,65.15,3.71,5.28,Medication,19527.0,Yes,96.29,1261.0,1.88,47180.0,0.86,79.87 +8298,Canada,2003,Diabetes,Viral,7.33,7.76,4.31,0-18,Female,47270,64.09,1.86,5.24,Medication,26878.0,No,50.94,2823.0,4.63,73965.0,0.68,68.19 +8308,Japan,2004,Zika,Parasitic,12.26,8.73,4.86,19-35,Male,413330,90.54,1.77,5.95,Medication,49025.0,No,50.81,4767.0,7.5,4659.0,0.45,55.65 +8316,Canada,2004,Polio,Metabolic,15.07,11.46,3.69,61+,Other,630348,65.16,2.64,2.58,Medication,29263.0,No,60.64,111.0,0.31,68893.0,0.7,62.92 +8331,Indonesia,2014,Alzheimer's Disease,Chronic,2.78,2.02,2.94,61+,Male,568339,94.01,2.72,5.69,Therapy,44107.0,No,68.19,1128.0,6.47,90111.0,0.85,68.53 +8332,China,2001,HIV/AIDS,Bacterial,13.79,9.07,8.58,19-35,Male,577870,77.54,3.41,8.9,Vaccination,28027.0,No,92.38,1423.0,5.11,25846.0,0.61,89.94 +8333,Brazil,2018,Dengue,Respiratory,2.56,9.2,3.15,0-18,Female,420621,90.84,4.03,5.8,Therapy,20421.0,Yes,98.98,1761.0,7.3,3734.0,0.55,72.44 +8348,Canada,2014,Cholera,Respiratory,12.55,5.46,3.43,36-60,Male,791449,64.17,1.68,8.29,Medication,28009.0,Yes,57.09,378.0,6.54,36389.0,0.67,73.12 +8350,UK,2021,HIV/AIDS,Infectious,12.02,9.16,9.1,0-18,Male,909590,94.83,1.75,6.47,Surgery,44883.0,No,96.79,3136.0,3.58,3448.0,0.82,60.48 +8353,South Korea,2004,Polio,Genetic,3.38,8.84,6.39,36-60,Male,302906,65.89,3.49,6.57,Vaccination,32845.0,No,59.07,3355.0,3.71,11349.0,0.8,38.5 +8357,France,2021,HIV/AIDS,Neurological,5.19,12.72,2.72,0-18,Male,392023,59.64,1.34,1.57,Surgery,1875.0,No,85.19,2960.0,9.98,68624.0,0.47,51.0 +8363,Canada,2020,Malaria,Cardiovascular,8.9,3.03,4.91,36-60,Other,264274,71.17,2.09,9.22,Therapy,12628.0,No,86.01,646.0,7.57,7237.0,0.72,26.58 +8366,Turkey,2020,Hepatitis,Chronic,0.85,8.25,1.52,61+,Male,359499,98.21,3.1,4.38,Medication,13636.0,Yes,58.38,4441.0,8.89,27268.0,0.5,63.34 +8370,Germany,2020,Cancer,Parasitic,4.89,0.84,9.52,0-18,Female,725703,99.01,1.26,1.52,Therapy,10147.0,No,98.25,2266.0,8.77,53759.0,0.41,33.13 +8372,Indonesia,2001,Influenza,Cardiovascular,19.13,11.39,6.19,61+,Other,79172,50.02,4.47,1.58,Medication,19257.0,Yes,87.82,1364.0,0.16,96257.0,0.88,68.78 +8378,Canada,2019,Influenza,Chronic,10.59,9.01,3.22,61+,Other,767475,56.67,3.8,6.88,Therapy,26112.0,Yes,92.74,4775.0,5.07,39551.0,0.59,85.93 +8379,Japan,2020,Ebola,Autoimmune,2.15,1.92,6.68,0-18,Other,256191,83.09,0.94,5.71,Vaccination,25174.0,Yes,90.52,2822.0,7.34,5510.0,0.88,25.57 +8380,USA,2023,Hypertension,Cardiovascular,18.63,6.71,7.36,36-60,Other,353741,61.17,2.85,3.8,Vaccination,21732.0,Yes,85.45,224.0,2.04,64746.0,0.79,28.54 +8383,China,2001,Influenza,Bacterial,14.83,5.75,7.73,19-35,Other,80767,52.09,1.92,4.03,Therapy,13695.0,No,87.53,4035.0,8.81,69587.0,0.75,44.85 +8388,South Africa,2003,Measles,Parasitic,14.14,3.48,1.16,19-35,Male,564533,90.86,2.03,4.41,Therapy,13606.0,No,62.33,2930.0,3.35,12882.0,0.59,71.02 +8402,Saudi Arabia,2019,Hypertension,Genetic,11.75,11.49,3.05,61+,Male,832191,78.42,2.43,4.83,Therapy,31788.0,Yes,56.81,1296.0,4.67,80162.0,0.64,37.06 +8403,Germany,2016,Leprosy,Respiratory,12.77,11.31,8.21,36-60,Other,407206,54.27,2.79,9.89,Surgery,18744.0,Yes,95.56,1672.0,6.23,93521.0,0.42,30.94 +8406,USA,2021,Ebola,Parasitic,9.3,13.86,8.75,19-35,Male,847827,83.98,2.25,7.95,Medication,2578.0,No,72.77,3218.0,5.33,98259.0,0.69,50.79 +8412,Saudi Arabia,2010,Hepatitis,Metabolic,12.35,14.16,1.74,0-18,Male,340882,97.73,1.14,3.62,Vaccination,40498.0,No,53.47,3709.0,7.25,12156.0,0.65,34.36 +8430,India,2021,Influenza,Chronic,0.6,8.99,8.61,0-18,Female,413629,55.09,3.74,8.56,Surgery,47243.0,Yes,93.84,1173.0,9.4,29212.0,0.79,65.81 +8448,South Korea,2013,Hypertension,Cardiovascular,16.56,11.8,3.08,19-35,Other,911488,53.91,1.24,2.84,Vaccination,41641.0,Yes,74.91,327.0,7.76,26146.0,0.46,43.18 +8450,Saudi Arabia,2024,Influenza,Cardiovascular,1.63,8.76,3.59,0-18,Female,545663,51.78,1.71,1.7,Medication,9819.0,Yes,74.41,939.0,0.51,11721.0,0.73,69.83 +8452,Saudi Arabia,2006,HIV/AIDS,Autoimmune,9.34,10.23,2.45,36-60,Female,334409,52.11,3.76,8.03,Surgery,40663.0,No,54.3,594.0,4.21,79935.0,0.63,63.02 +8459,UK,2008,Hypertension,Metabolic,12.03,6.44,2.49,0-18,Male,801322,70.83,2.07,1.44,Vaccination,39977.0,Yes,88.49,1065.0,6.92,47170.0,0.53,23.66 +8462,Canada,2006,COVID-19,Metabolic,11.42,10.15,3.16,61+,Female,897396,80.12,0.74,6.4,Vaccination,12831.0,Yes,53.58,1093.0,0.13,78582.0,0.62,42.73 +8464,Brazil,2002,Tuberculosis,Viral,7.96,1.27,7.13,19-35,Female,155409,55.75,2.55,6.24,Surgery,8393.0,Yes,64.72,820.0,8.4,86655.0,0.88,77.07 +8467,UK,2021,COVID-19,Genetic,12.25,8.25,0.27,19-35,Male,593280,78.73,1.42,9.44,Therapy,47994.0,Yes,79.43,2531.0,0.18,5164.0,0.52,74.53 +8472,Turkey,2006,Alzheimer's Disease,Metabolic,9.18,6.16,2.0,61+,Male,788340,79.17,1.9,6.12,Vaccination,19121.0,No,56.31,2847.0,4.21,28008.0,0.54,43.19 +8478,Mexico,2013,Influenza,Autoimmune,10.24,12.77,8.48,0-18,Male,697081,93.89,3.24,8.5,Vaccination,42018.0,Yes,68.18,193.0,6.24,99579.0,0.48,63.83 +8485,France,2002,COVID-19,Cardiovascular,11.6,12.1,3.18,61+,Male,731033,85.74,3.37,4.0,Surgery,37584.0,No,63.19,270.0,1.28,89655.0,0.41,45.59 +8486,Indonesia,2018,Influenza,Parasitic,10.73,14.75,6.17,19-35,Male,714785,99.41,3.35,9.15,Vaccination,24971.0,No,80.37,4126.0,3.24,17928.0,0.89,46.22 +8487,Indonesia,2024,Dengue,Parasitic,12.86,5.66,8.63,0-18,Female,350580,97.92,4.93,3.07,Medication,47196.0,Yes,75.88,271.0,5.24,12358.0,0.55,85.14 +8488,Nigeria,2021,Diabetes,Parasitic,5.28,6.33,8.85,61+,Other,788730,97.22,3.79,3.0,Medication,33273.0,No,92.42,548.0,7.38,99243.0,0.7,51.27 +8493,Russia,2010,Cancer,Respiratory,4.32,3.88,1.47,61+,Male,129872,87.62,0.98,2.56,Therapy,3175.0,Yes,58.86,2816.0,2.73,59397.0,0.52,80.55 +8495,Russia,2021,Malaria,Metabolic,8.8,5.17,0.16,19-35,Female,216501,88.88,1.03,4.76,Surgery,10901.0,Yes,70.73,1396.0,5.62,70495.0,0.53,26.84 +8503,Italy,2006,Zika,Viral,11.85,12.31,3.5,36-60,Male,936409,54.15,4.32,3.33,Therapy,39627.0,No,84.46,4128.0,7.59,85591.0,0.41,76.39 +8507,Nigeria,2002,COVID-19,Neurological,4.66,3.87,2.25,36-60,Male,715004,57.49,0.71,8.23,Therapy,3633.0,Yes,70.21,3421.0,1.6,1744.0,0.45,30.45 +8509,Italy,2012,Influenza,Autoimmune,10.93,4.58,8.46,19-35,Male,573691,75.17,4.63,5.92,Surgery,37181.0,Yes,67.51,3806.0,5.13,8824.0,0.6,33.73 +8511,France,2018,Asthma,Genetic,7.27,8.49,3.92,19-35,Other,395084,95.01,4.32,7.19,Surgery,21382.0,Yes,95.82,1331.0,8.57,45805.0,0.56,28.01 +8513,China,2017,Leprosy,Cardiovascular,3.26,14.05,1.8,0-18,Male,258388,86.8,2.2,6.78,Therapy,13703.0,No,92.08,777.0,8.32,86975.0,0.42,80.87 +8518,USA,2005,Asthma,Autoimmune,3.14,7.65,0.73,19-35,Male,263235,56.14,4.24,4.84,Surgery,12824.0,No,65.7,3770.0,3.23,33068.0,0.79,63.99 +8525,Mexico,2015,Malaria,Respiratory,6.97,6.9,5.74,19-35,Male,366876,86.47,1.37,2.88,Surgery,17182.0,No,98.99,3738.0,1.66,92945.0,0.87,59.65 +8527,Russia,2002,Parkinson's Disease,Parasitic,2.75,4.34,4.33,19-35,Male,53618,90.79,2.65,4.21,Medication,33672.0,No,66.96,4211.0,3.44,42561.0,0.67,74.08 +8534,UK,2017,Polio,Chronic,10.01,2.7,1.5,36-60,Other,823334,72.44,4.78,5.52,Vaccination,47110.0,No,82.18,748.0,1.07,12452.0,0.79,38.99 +8539,Indonesia,2016,Cancer,Chronic,14.85,13.33,2.58,36-60,Male,528550,69.83,4.6,9.53,Vaccination,46912.0,No,73.68,1328.0,5.6,33277.0,0.51,69.85 +8551,USA,2011,Cancer,Infectious,7.83,3.96,5.2,0-18,Male,814551,64.35,4.03,9.51,Surgery,43888.0,No,66.68,4852.0,5.96,75129.0,0.7,65.9 +8557,Argentina,2001,Hepatitis,Cardiovascular,16.22,8.72,6.21,19-35,Male,22589,72.43,2.95,8.85,Medication,13412.0,No,81.03,2096.0,1.09,61301.0,0.6,66.21 +8560,USA,2018,Zika,Neurological,11.76,8.26,1.23,36-60,Male,228289,94.49,2.61,8.42,Vaccination,46691.0,No,91.62,885.0,9.29,73563.0,0.54,38.29 +8562,Mexico,2016,Influenza,Genetic,7.7,4.06,1.27,0-18,Male,92594,88.55,4.34,1.94,Surgery,19684.0,Yes,58.58,1417.0,5.91,45316.0,0.55,25.42 +8564,UK,2004,Asthma,Autoimmune,3.65,11.76,2.87,36-60,Female,686791,74.46,3.77,5.11,Therapy,44188.0,Yes,89.02,6.0,0.99,84187.0,0.78,86.16 +8569,Italy,2001,Diabetes,Metabolic,5.49,1.53,6.79,0-18,Female,203370,97.97,1.96,3.01,Vaccination,22313.0,No,72.47,3085.0,6.78,60322.0,0.79,44.62 +8572,Saudi Arabia,2004,Ebola,Neurological,17.58,12.75,8.29,36-60,Other,396834,81.92,0.87,2.85,Surgery,36100.0,No,60.93,3464.0,5.87,30671.0,0.44,50.9 +8574,UK,2011,Malaria,Infectious,9.06,10.47,0.38,19-35,Male,946219,69.59,2.79,6.66,Vaccination,16933.0,No,65.92,1096.0,3.97,86527.0,0.62,59.31 +8577,Nigeria,2010,Dengue,Viral,12.94,10.03,6.07,0-18,Female,971833,94.39,2.92,9.46,Vaccination,41842.0,No,97.94,3893.0,1.22,71648.0,0.8,23.9 +8582,South Africa,2001,Leprosy,Autoimmune,18.55,4.61,4.19,0-18,Female,641632,99.64,2.96,2.42,Vaccination,624.0,No,54.22,681.0,6.45,21442.0,0.78,25.22 +8586,France,2005,Hepatitis,Parasitic,9.71,7.87,2.21,0-18,Female,443982,87.67,4.09,7.77,Therapy,34784.0,Yes,60.99,4572.0,2.76,24553.0,0.59,53.4 +8587,USA,2024,Influenza,Neurological,13.73,12.14,7.01,19-35,Other,626884,78.31,4.27,7.61,Vaccination,42097.0,No,62.45,3474.0,9.07,58388.0,0.51,57.14 +8588,Turkey,2012,Alzheimer's Disease,Chronic,9.18,0.68,6.95,61+,Male,830370,76.39,4.65,4.33,Medication,44436.0,Yes,95.69,2810.0,4.61,50575.0,0.63,29.94 +8589,France,2015,Cancer,Respiratory,3.39,11.44,2.66,0-18,Male,581889,60.15,1.73,1.85,Vaccination,19159.0,No,74.75,4947.0,5.11,25347.0,0.63,28.2 +8594,Canada,2010,Hypertension,Respiratory,17.8,14.22,7.64,36-60,Other,683794,87.89,0.85,6.99,Surgery,43551.0,No,96.51,1325.0,9.17,37604.0,0.64,43.14 +8595,Nigeria,2023,Malaria,Infectious,5.04,3.65,0.81,0-18,Female,439962,58.06,4.41,4.18,Therapy,19578.0,Yes,66.38,1224.0,9.8,97988.0,0.81,74.47 +8598,Nigeria,2014,Polio,Metabolic,17.84,1.63,6.35,0-18,Male,614776,86.92,0.93,5.22,Vaccination,8254.0,No,84.34,2849.0,7.61,3791.0,0.66,49.07 +8608,Mexico,2008,Polio,Infectious,17.78,8.04,9.28,0-18,Male,660129,97.84,3.59,6.59,Medication,19371.0,No,63.83,2015.0,2.67,58004.0,0.6,62.27 +8619,Argentina,2009,Hypertension,Cardiovascular,16.75,14.7,9.49,36-60,Other,523040,52.38,4.44,7.29,Therapy,17477.0,No,81.81,3548.0,5.14,39593.0,0.77,39.98 +8625,Turkey,2012,COVID-19,Metabolic,8.55,13.22,9.23,36-60,Male,366099,79.87,3.56,5.9,Therapy,20319.0,Yes,52.22,4292.0,5.56,81175.0,0.48,65.62 +8626,Turkey,2000,Asthma,Metabolic,4.84,12.96,9.89,19-35,Other,392185,80.74,3.39,1.6,Medication,14584.0,Yes,60.57,2810.0,2.94,36839.0,0.63,73.99 +8630,South Africa,2006,Rabies,Respiratory,12.01,3.69,8.21,19-35,Male,166384,68.46,4.08,0.82,Vaccination,38529.0,Yes,63.73,4664.0,5.05,10884.0,0.82,57.67 +8632,France,2024,Hypertension,Autoimmune,0.59,10.29,1.73,61+,Female,147175,69.47,3.88,4.02,Surgery,44709.0,No,52.8,862.0,2.79,65488.0,0.42,53.63 +8634,India,2003,Tuberculosis,Neurological,4.81,8.83,3.95,0-18,Other,283207,75.26,0.9,6.79,Medication,46456.0,Yes,71.5,4848.0,7.34,87473.0,0.56,36.72 +8636,France,2019,Polio,Infectious,12.75,11.0,9.67,36-60,Female,844471,72.18,4.16,2.56,Therapy,16004.0,No,68.23,764.0,2.92,72687.0,0.43,89.37 +8637,India,2004,Asthma,Infectious,18.51,5.13,9.15,19-35,Male,106677,75.5,0.96,6.46,Surgery,38880.0,No,87.05,2770.0,1.65,62204.0,0.44,71.44 +8647,UK,2013,Alzheimer's Disease,Chronic,13.88,6.57,2.12,0-18,Other,367748,69.09,0.96,7.15,Therapy,42631.0,No,64.58,4591.0,3.16,31961.0,0.52,54.47 +8651,Japan,2014,Polio,Genetic,2.42,7.26,4.85,36-60,Male,290928,73.09,1.53,8.6,Medication,22149.0,Yes,83.86,825.0,5.04,32367.0,0.82,89.53 +8660,Russia,2010,Hepatitis,Cardiovascular,16.22,4.9,5.22,0-18,Female,717241,54.52,3.23,1.07,Therapy,32144.0,No,91.39,810.0,8.47,34834.0,0.58,26.49 +8661,Argentina,2023,Hypertension,Respiratory,1.64,13.35,6.99,19-35,Other,271939,61.7,3.59,5.57,Surgery,31433.0,No,57.13,1008.0,7.47,59961.0,0.46,75.95 +8667,Saudi Arabia,2006,Ebola,Respiratory,3.19,0.6,1.71,19-35,Female,500396,80.23,1.58,3.31,Surgery,9693.0,No,72.96,3618.0,9.14,93150.0,0.77,56.11 +8674,Turkey,2009,Tuberculosis,Bacterial,2.19,2.19,2.13,19-35,Other,265928,78.27,4.38,6.88,Surgery,37929.0,No,96.86,1433.0,1.94,16636.0,0.83,75.11 +8679,Japan,2008,Zika,Infectious,5.76,4.55,6.64,0-18,Female,368562,74.28,4.91,7.67,Surgery,15816.0,Yes,98.1,2424.0,5.59,30585.0,0.43,70.7 +8680,Japan,2016,Hypertension,Infectious,9.21,10.07,4.83,61+,Female,208826,67.33,1.26,3.49,Medication,22611.0,Yes,55.91,1749.0,7.53,49260.0,0.62,37.23 +8684,Russia,2014,COVID-19,Chronic,4.42,12.61,6.09,61+,Female,537281,74.25,0.76,6.69,Therapy,40092.0,No,67.71,1687.0,4.85,91488.0,0.57,86.72 +8685,Indonesia,2017,Parkinson's Disease,Cardiovascular,19.38,7.36,1.35,0-18,Male,274426,98.92,2.96,4.44,Vaccination,31989.0,No,91.37,4355.0,4.35,13350.0,0.87,62.52 +8686,South Africa,2020,Leprosy,Infectious,0.6,10.67,4.7,19-35,Female,448841,50.92,1.94,7.74,Surgery,26239.0,No,80.71,1788.0,4.42,82675.0,0.87,67.13 +8690,Saudi Arabia,2012,Measles,Chronic,19.03,2.03,3.45,19-35,Male,908446,89.57,4.89,6.61,Surgery,17680.0,No,74.18,3889.0,8.69,28322.0,0.49,53.13 +8691,South Korea,2010,Asthma,Genetic,8.33,7.63,8.53,19-35,Other,902462,90.76,3.16,9.99,Therapy,48802.0,No,79.99,1629.0,1.64,32900.0,0.76,57.13 +8693,Saudi Arabia,2012,Cancer,Infectious,18.99,13.76,1.37,36-60,Female,317433,62.78,0.94,3.89,Therapy,48296.0,No,83.59,4962.0,8.75,51471.0,0.55,89.95 +8694,Russia,2005,Dengue,Metabolic,16.35,14.68,9.39,19-35,Male,392847,76.89,1.41,4.18,Vaccination,16039.0,Yes,78.07,4633.0,1.17,21153.0,0.52,52.23 +8697,France,2012,Asthma,Cardiovascular,12.67,8.56,8.88,61+,Male,852046,63.3,4.25,7.19,Surgery,22203.0,Yes,64.67,4062.0,3.33,8068.0,0.48,58.15 +8699,Australia,2002,Polio,Parasitic,16.53,0.69,3.36,61+,Other,719501,81.6,3.62,6.6,Medication,11483.0,No,86.15,4996.0,1.77,87905.0,0.84,65.89 +8703,Argentina,2002,Rabies,Metabolic,1.46,7.13,5.31,61+,Male,957339,75.52,2.09,5.53,Medication,48139.0,Yes,78.19,4493.0,0.12,22704.0,0.43,22.19 +8713,Nigeria,2014,Asthma,Neurological,8.68,13.28,7.91,0-18,Male,925032,86.03,4.64,4.86,Therapy,22629.0,Yes,53.57,1363.0,7.97,49371.0,0.54,62.88 +8716,Saudi Arabia,2008,Tuberculosis,Autoimmune,9.03,10.4,1.91,61+,Male,800122,60.94,3.67,8.56,Therapy,34097.0,No,95.43,2265.0,7.35,8958.0,0.79,82.54 +8721,Argentina,2000,Dengue,Metabolic,18.94,9.73,9.28,36-60,Female,927792,84.43,3.72,3.23,Vaccination,12006.0,Yes,80.51,2343.0,7.31,87790.0,0.71,59.15 +8726,Germany,2010,Diabetes,Cardiovascular,15.47,6.7,9.65,19-35,Female,375349,74.32,1.07,9.17,Surgery,40439.0,Yes,74.94,369.0,1.96,90660.0,0.71,67.47 +8731,South Africa,2019,Malaria,Respiratory,11.98,5.47,6.69,19-35,Female,113187,99.73,4.42,8.51,Vaccination,1366.0,No,62.61,3806.0,0.65,32179.0,0.49,75.75 +8737,Germany,2009,Influenza,Neurological,2.71,11.83,9.88,36-60,Other,779326,65.07,2.56,3.28,Therapy,47985.0,No,56.1,1599.0,3.34,17552.0,0.87,31.98 +8755,Germany,2016,Ebola,Autoimmune,9.65,8.17,1.35,19-35,Other,357158,57.95,3.75,2.56,Vaccination,8039.0,Yes,63.52,1891.0,5.48,3832.0,0.84,80.68 +8762,South Africa,2010,Dengue,Cardiovascular,6.66,14.18,4.02,36-60,Male,52047,99.7,1.51,5.35,Surgery,11054.0,Yes,97.65,559.0,5.57,67995.0,0.61,72.53 +8766,France,2023,Tuberculosis,Cardiovascular,2.14,8.57,4.89,0-18,Female,109922,97.76,2.68,7.78,Therapy,1573.0,Yes,76.2,2288.0,5.19,83002.0,0.64,42.46 +8767,Argentina,2004,Tuberculosis,Metabolic,18.86,12.15,4.87,19-35,Other,523384,72.96,2.04,8.6,Medication,28597.0,No,79.52,1142.0,3.77,12003.0,0.64,31.52 +8771,Brazil,2006,Hypertension,Genetic,2.88,0.38,6.32,0-18,Female,599298,55.01,1.52,8.48,Vaccination,41667.0,No,56.46,3094.0,4.4,28967.0,0.74,53.66 +8774,Turkey,2002,Cholera,Parasitic,13.5,11.94,6.6,19-35,Female,373855,69.86,1.61,6.16,Surgery,36200.0,No,79.67,2013.0,6.49,81827.0,0.68,80.39 +8775,South Africa,2017,COVID-19,Chronic,5.73,14.94,7.28,61+,Male,907548,66.19,2.68,7.5,Vaccination,3922.0,No,62.51,4770.0,1.08,18407.0,0.85,52.38 +8790,South Korea,2023,Cholera,Autoimmune,14.3,7.29,5.67,0-18,Female,102864,60.49,4.31,7.36,Medication,25554.0,No,54.15,3997.0,7.99,28330.0,0.54,53.56 +8794,India,2017,Dengue,Genetic,13.64,2.23,9.04,0-18,Female,603683,53.96,4.06,5.16,Vaccination,49491.0,Yes,92.04,1212.0,3.08,2057.0,0.46,69.43 +8795,Germany,2012,Polio,Viral,8.79,9.97,2.43,0-18,Male,77475,96.03,0.96,0.63,Therapy,17678.0,Yes,89.1,1705.0,2.3,10315.0,0.71,49.15 +8797,Germany,2014,Cancer,Neurological,7.73,3.82,6.7,61+,Female,384099,52.66,2.53,7.03,Surgery,42431.0,Yes,82.83,4838.0,1.3,71678.0,0.62,36.85 +8800,USA,2002,Alzheimer's Disease,Bacterial,6.53,14.33,2.89,61+,Other,292093,72.99,2.42,8.27,Medication,14563.0,No,55.01,1021.0,4.63,55705.0,0.72,86.25 +8807,Brazil,2000,Malaria,Metabolic,9.14,10.41,1.78,19-35,Male,114939,75.46,4.1,0.52,Surgery,16833.0,No,95.52,1974.0,6.58,10473.0,0.45,39.37 +8809,Japan,2001,Asthma,Bacterial,4.16,9.13,5.12,0-18,Male,569027,98.08,2.93,3.48,Vaccination,24977.0,Yes,95.75,3577.0,0.78,29641.0,0.6,43.88 +8812,Germany,2024,Cancer,Infectious,1.56,8.14,6.41,19-35,Female,134624,73.08,3.35,10.0,Medication,5250.0,No,90.32,2516.0,7.62,9180.0,0.74,31.75 +8823,Brazil,2018,Malaria,Metabolic,16.53,2.64,6.74,36-60,Other,619196,57.36,3.83,3.28,Therapy,11237.0,No,97.5,1948.0,0.68,24812.0,0.8,87.31 +8828,UK,2001,Diabetes,Parasitic,0.54,4.22,8.54,0-18,Male,973367,92.23,2.21,8.62,Therapy,19308.0,No,51.71,1866.0,3.18,54706.0,0.51,26.48 +8831,Mexico,2014,HIV/AIDS,Neurological,8.23,3.46,5.32,61+,Other,181714,95.3,4.52,5.54,Medication,24915.0,Yes,71.7,3276.0,1.21,60257.0,0.86,48.24 +8832,South Africa,2014,Measles,Infectious,11.13,11.58,3.15,19-35,Other,816139,86.85,1.59,5.05,Surgery,1207.0,Yes,79.42,1856.0,0.63,34880.0,0.76,56.74 +8833,USA,2017,Tuberculosis,Neurological,14.12,12.22,2.55,36-60,Male,162089,82.35,1.16,4.15,Vaccination,30020.0,Yes,97.51,1192.0,4.76,20116.0,0.79,37.91 +8842,Japan,2009,Parkinson's Disease,Viral,13.58,5.13,3.9,36-60,Female,63817,71.05,1.05,5.42,Vaccination,42941.0,Yes,90.85,3515.0,0.3,39116.0,0.53,60.52 +8843,Germany,2021,Malaria,Parasitic,1.36,8.21,2.61,19-35,Other,852460,92.71,2.6,9.24,Vaccination,44121.0,Yes,57.96,1682.0,4.3,99379.0,0.83,51.3 +8853,USA,2000,Cancer,Autoimmune,2.3,5.99,7.12,0-18,Female,313318,58.17,1.07,3.25,Therapy,3676.0,Yes,77.75,4949.0,0.04,88158.0,0.78,72.77 +8854,India,2007,Hypertension,Cardiovascular,3.75,14.41,2.07,61+,Other,824557,65.47,1.43,3.62,Surgery,38020.0,Yes,70.3,664.0,3.45,13528.0,0.52,71.64 +8860,Indonesia,2013,Hepatitis,Viral,8.22,2.5,6.12,61+,Female,325547,84.48,1.87,8.56,Therapy,42354.0,Yes,71.58,3064.0,5.81,45630.0,0.4,31.92 +8868,Italy,2020,Ebola,Viral,7.24,10.2,7.88,61+,Other,123917,94.88,4.34,7.0,Medication,31400.0,Yes,85.22,1714.0,2.36,37212.0,0.61,69.55 +8869,China,2022,Asthma,Respiratory,7.27,11.17,2.5,0-18,Other,671917,91.0,4.78,2.0,Vaccination,40193.0,Yes,65.32,3866.0,3.6,18456.0,0.6,24.05 +8873,India,2009,Cancer,Infectious,4.69,5.9,3.48,61+,Male,444056,52.03,2.36,3.86,Surgery,9418.0,No,87.14,124.0,9.24,77879.0,0.85,24.0 +8883,UK,2001,Zika,Parasitic,10.73,12.63,5.55,0-18,Female,715488,98.84,3.36,2.6,Medication,33938.0,No,61.25,187.0,3.62,82672.0,0.89,81.93 +8884,Italy,2024,Cholera,Chronic,8.78,14.37,8.0,0-18,Female,963478,87.05,4.03,6.34,Surgery,43620.0,Yes,90.82,3686.0,5.55,34341.0,0.84,71.15 +8885,China,2005,Alzheimer's Disease,Genetic,0.71,12.98,4.8,0-18,Female,279436,55.46,2.19,8.37,Vaccination,18138.0,No,89.0,943.0,2.23,51903.0,0.89,43.04 +8889,Germany,2022,Dengue,Parasitic,13.94,5.8,7.43,19-35,Female,919478,86.14,4.08,2.42,Vaccination,43566.0,No,80.54,3485.0,9.31,18452.0,0.63,81.74 +8892,Mexico,2013,COVID-19,Autoimmune,5.86,2.23,0.36,0-18,Male,939074,98.55,0.99,1.6,Therapy,24390.0,No,61.39,1133.0,5.46,27072.0,0.63,36.79 +8895,USA,2019,Measles,Chronic,12.88,2.95,8.79,61+,Other,982573,70.02,3.82,1.46,Vaccination,46770.0,No,94.02,2994.0,4.29,25462.0,0.84,28.91 +8897,Indonesia,2002,Zika,Autoimmune,3.11,4.38,9.38,19-35,Other,585970,91.13,4.24,5.77,Therapy,47707.0,Yes,77.61,2040.0,6.92,53157.0,0.54,83.98 +8899,Turkey,2019,Asthma,Viral,19.67,11.41,7.07,19-35,Other,626598,56.78,4.2,2.58,Medication,48119.0,Yes,71.34,4958.0,1.93,55103.0,0.57,68.92 +8900,Mexico,2010,Tuberculosis,Autoimmune,5.8,7.97,8.41,19-35,Male,624389,71.11,1.15,2.96,Medication,13461.0,No,68.41,3431.0,8.9,9362.0,0.57,21.95 +8908,France,2000,Measles,Metabolic,2.45,11.34,8.33,0-18,Other,333606,61.94,3.23,6.1,Vaccination,21214.0,Yes,97.51,4681.0,8.14,20373.0,0.48,65.48 +8914,Australia,2004,Dengue,Cardiovascular,9.46,5.04,4.98,19-35,Female,926824,67.86,1.93,3.39,Medication,49679.0,Yes,79.68,978.0,7.37,58444.0,0.42,59.85 +8927,Germany,2014,HIV/AIDS,Chronic,7.44,8.21,9.81,36-60,Female,940977,90.71,4.83,5.06,Medication,34465.0,Yes,76.6,748.0,2.21,89697.0,0.68,37.67 +8947,Mexico,2013,Leprosy,Viral,11.88,7.9,2.73,61+,Female,178219,90.82,4.53,7.86,Medication,22339.0,No,94.47,640.0,7.27,29417.0,0.56,70.45 +8949,India,2009,Malaria,Parasitic,13.74,5.53,9.13,0-18,Male,864573,89.61,3.18,5.01,Surgery,1342.0,No,69.1,4196.0,0.05,30783.0,0.64,51.42 +8953,Germany,2016,Leprosy,Chronic,6.24,10.84,4.94,61+,Male,389669,76.89,2.31,8.79,Medication,47872.0,Yes,75.34,4884.0,1.36,40452.0,0.68,65.45 +8954,Russia,2017,Tuberculosis,Chronic,4.53,7.54,1.69,19-35,Male,815918,73.5,2.97,1.8,Medication,8846.0,No,51.57,2792.0,0.34,32690.0,0.85,30.16 +8957,Italy,2004,Diabetes,Viral,14.93,5.95,7.6,36-60,Female,808678,98.05,0.69,3.78,Vaccination,26379.0,No,59.57,2543.0,2.56,96770.0,0.5,50.11 +8960,Russia,2020,Alzheimer's Disease,Chronic,13.6,3.07,5.41,61+,Female,691229,61.04,1.37,6.64,Medication,40911.0,No,69.53,3470.0,4.73,44858.0,0.53,49.21 +8972,Argentina,2012,Asthma,Chronic,19.24,2.85,0.74,61+,Other,298087,69.3,2.97,2.71,Therapy,7432.0,No,73.66,2743.0,6.36,37817.0,0.59,70.9 +8978,India,2019,Asthma,Metabolic,11.17,10.65,3.91,61+,Female,207454,90.17,3.63,1.05,Vaccination,38225.0,No,84.07,1640.0,2.49,44102.0,0.46,66.05 +8982,Italy,2007,Polio,Autoimmune,3.68,7.45,5.16,36-60,Male,354399,52.58,2.13,4.18,Surgery,28456.0,No,62.07,4711.0,1.88,93750.0,0.63,48.97 +8983,Turkey,2015,Asthma,Viral,15.62,14.8,2.95,0-18,Female,159358,95.33,1.07,6.81,Therapy,45815.0,Yes,82.41,2931.0,5.42,29737.0,0.51,59.61 +8984,South Africa,2004,Tuberculosis,Chronic,1.38,11.53,3.4,0-18,Female,85500,96.23,1.33,4.54,Medication,19876.0,Yes,70.59,4395.0,5.37,13770.0,0.47,55.08 +8985,USA,2015,Ebola,Infectious,4.77,0.55,8.25,36-60,Male,983867,60.43,4.43,6.16,Surgery,36717.0,No,98.66,1077.0,3.44,97100.0,0.41,27.72 +8986,France,2000,Tuberculosis,Respiratory,19.03,9.77,7.64,61+,Other,214932,58.43,1.78,7.09,Surgery,40073.0,Yes,89.55,3142.0,7.43,60629.0,0.69,83.11 +8990,Canada,2023,Measles,Respiratory,0.81,1.82,8.51,61+,Other,200219,89.0,2.17,0.6,Medication,29649.0,Yes,73.91,2700.0,1.39,21307.0,0.79,66.08 +8996,Indonesia,2018,Parkinson's Disease,Respiratory,4.52,2.74,6.01,0-18,Female,912440,88.53,2.95,4.82,Surgery,1133.0,Yes,88.29,4523.0,0.97,72345.0,0.7,89.66 +9000,South Africa,2022,Tuberculosis,Parasitic,17.28,13.78,6.84,19-35,Male,484077,62.99,0.81,9.08,Medication,4154.0,No,84.79,3813.0,8.85,46492.0,0.56,70.49 +9017,Saudi Arabia,2021,Malaria,Viral,18.6,10.17,1.53,19-35,Other,840684,61.03,2.82,2.41,Therapy,9247.0,No,95.29,2073.0,5.8,59873.0,0.62,56.14 +9024,UK,2020,Measles,Neurological,9.32,3.16,6.52,61+,Male,17804,77.65,1.62,2.96,Surgery,5521.0,Yes,84.28,1437.0,7.2,18457.0,0.45,80.75 +9049,Argentina,2002,HIV/AIDS,Parasitic,4.29,5.82,0.53,19-35,Male,302935,89.75,0.72,4.87,Vaccination,29463.0,No,87.19,4799.0,5.94,34586.0,0.41,75.9 +9052,Brazil,2018,Malaria,Parasitic,2.92,0.38,6.47,61+,Female,48069,58.02,2.02,2.96,Surgery,24393.0,No,58.33,1280.0,9.65,32792.0,0.47,63.46 +9054,Brazil,2017,Influenza,Autoimmune,3.18,9.75,7.02,61+,Male,416211,52.7,0.63,9.98,Vaccination,11103.0,No,95.65,1984.0,1.66,61632.0,0.63,61.84 +9058,Italy,2018,Malaria,Cardiovascular,19.91,9.14,6.02,36-60,Male,681176,98.91,1.56,9.79,Surgery,33609.0,Yes,71.83,1585.0,7.69,19733.0,0.73,62.44 +9061,South Africa,2002,Influenza,Parasitic,5.82,13.89,9.41,61+,Female,480142,81.92,4.38,5.84,Vaccination,32886.0,No,74.31,4774.0,6.06,85846.0,0.4,76.7 +9068,UK,2024,Alzheimer's Disease,Infectious,13.17,2.33,4.38,0-18,Other,311020,56.46,3.76,7.4,Therapy,19406.0,Yes,86.95,2916.0,2.32,34677.0,0.43,30.01 +9070,Germany,2021,Cancer,Chronic,13.23,11.95,0.36,19-35,Male,924295,90.99,0.58,8.37,Medication,47771.0,Yes,64.58,4238.0,0.17,48522.0,0.58,63.94 +9071,China,2001,HIV/AIDS,Parasitic,3.73,12.08,9.49,36-60,Male,670082,87.13,2.07,0.83,Therapy,28995.0,Yes,80.14,1057.0,9.27,59757.0,0.63,64.42 +9076,Australia,2000,Zika,Chronic,11.29,5.59,5.48,61+,Male,277361,98.61,1.82,0.82,Medication,9488.0,No,73.72,1305.0,6.66,28862.0,0.66,77.23 +9080,USA,2022,Hepatitis,Infectious,4.94,14.22,5.71,36-60,Female,437289,83.35,4.63,4.41,Surgery,18683.0,No,64.5,1872.0,7.28,40193.0,0.9,50.99 +9090,South Korea,2020,Asthma,Genetic,0.8,11.75,9.9,19-35,Other,408656,93.33,1.83,4.0,Vaccination,18514.0,Yes,94.37,1068.0,5.17,7708.0,0.75,55.26 +9097,South Africa,2007,Dengue,Respiratory,10.93,9.26,4.65,36-60,Male,506462,64.12,3.69,8.92,Vaccination,38790.0,No,53.57,4400.0,1.05,85325.0,0.54,64.6 +9098,China,2012,Influenza,Respiratory,3.04,12.84,1.06,61+,Other,111880,98.04,2.15,2.49,Surgery,14615.0,No,82.18,1180.0,5.38,10602.0,0.56,87.43 +9101,Germany,2009,COVID-19,Infectious,17.49,1.73,9.11,19-35,Female,438884,83.23,4.0,5.49,Surgery,12421.0,No,74.2,93.0,1.71,9186.0,0.48,77.16 +9103,South Africa,2010,Ebola,Infectious,9.47,7.49,9.62,0-18,Other,145183,95.53,0.77,9.3,Vaccination,1656.0,No,70.55,3251.0,2.54,66355.0,0.85,58.09 +9105,Brazil,2005,Measles,Respiratory,8.61,12.25,6.59,19-35,Male,756988,58.54,1.41,3.94,Medication,16522.0,No,90.3,1674.0,6.59,36006.0,0.72,64.5 +9113,South Africa,2009,Hepatitis,Parasitic,14.2,7.72,2.72,19-35,Male,904240,58.58,4.53,9.85,Therapy,45748.0,Yes,56.11,2286.0,5.51,24263.0,0.63,41.92 +9114,South Korea,2023,Malaria,Chronic,8.69,1.71,0.97,19-35,Other,652009,69.45,3.91,0.55,Surgery,5535.0,No,70.93,598.0,8.93,84981.0,0.5,29.29 +9115,Argentina,2001,Hypertension,Genetic,10.39,1.5,6.32,61+,Male,84311,52.57,2.38,3.69,Surgery,18072.0,Yes,67.0,3082.0,5.44,74103.0,0.41,86.05 +9118,Saudi Arabia,2009,Cholera,Bacterial,11.51,4.11,5.36,61+,Male,459370,63.18,2.26,8.74,Vaccination,13173.0,No,67.0,4625.0,1.83,86861.0,0.52,28.58 +9119,Mexico,2011,Rabies,Cardiovascular,12.26,4.77,7.61,36-60,Other,887606,89.26,0.81,3.02,Vaccination,38030.0,No,79.05,3367.0,6.58,28843.0,0.51,43.95 +9134,USA,2017,Malaria,Respiratory,10.98,11.88,2.82,0-18,Female,490036,75.9,3.78,6.35,Therapy,12390.0,No,98.75,2249.0,1.76,87472.0,0.76,87.89 +9136,Argentina,2017,Alzheimer's Disease,Chronic,17.62,13.0,5.08,61+,Female,753659,57.45,0.7,3.42,Surgery,25625.0,Yes,56.73,3553.0,4.49,43794.0,0.66,69.69 +9141,Indonesia,2022,HIV/AIDS,Metabolic,13.49,1.84,7.91,19-35,Female,887039,74.37,3.5,9.17,Surgery,30306.0,Yes,80.56,4837.0,3.16,73370.0,0.85,44.85 +9146,Canada,2020,Cancer,Metabolic,8.31,10.63,4.2,36-60,Male,174416,62.21,0.65,7.44,Surgery,43196.0,Yes,74.66,3510.0,5.28,40958.0,0.82,73.11 +9154,USA,2013,Parkinson's Disease,Viral,0.34,1.28,7.34,36-60,Female,618663,83.16,2.3,4.76,Medication,9031.0,Yes,96.67,1126.0,4.84,40332.0,0.65,48.07 +9160,China,2011,Zika,Chronic,14.2,3.13,2.41,19-35,Male,882198,83.73,4.12,5.45,Therapy,7599.0,No,63.2,3343.0,9.07,95627.0,0.58,51.86 +9166,USA,2002,Hepatitis,Parasitic,8.95,13.72,8.52,61+,Female,499944,78.24,4.2,8.51,Surgery,1167.0,No,83.54,4205.0,1.85,63417.0,0.8,22.76 +9182,South Korea,2024,Asthma,Cardiovascular,2.57,11.23,2.55,61+,Male,132656,59.48,4.6,5.2,Vaccination,2375.0,Yes,94.83,3130.0,5.61,24776.0,0.64,31.04 +9186,Canada,2019,Diabetes,Viral,2.63,7.19,2.51,36-60,Female,170857,93.69,1.49,1.78,Vaccination,16524.0,No,68.85,2724.0,4.63,4772.0,0.68,49.71 +9187,France,2013,Tuberculosis,Metabolic,5.95,10.18,7.22,36-60,Male,618655,85.85,4.43,7.12,Therapy,22185.0,Yes,84.3,1540.0,6.61,24270.0,0.46,37.9 +9189,India,2014,Hypertension,Cardiovascular,19.52,1.59,6.45,0-18,Other,487751,69.76,4.85,7.61,Vaccination,30084.0,Yes,89.03,726.0,5.31,12952.0,0.43,64.69 +9190,Brazil,2008,Leprosy,Viral,15.39,5.24,3.77,36-60,Male,260712,53.03,0.66,1.42,Therapy,36593.0,No,59.73,4201.0,7.84,28003.0,0.43,61.06 +9193,Brazil,2004,Cancer,Neurological,19.28,6.18,0.77,0-18,Other,969673,76.51,0.51,1.16,Medication,15377.0,Yes,65.12,1558.0,6.07,92995.0,0.47,31.39 +9207,Italy,2012,Ebola,Chronic,16.91,3.26,0.43,19-35,Other,122704,76.83,2.63,7.87,Surgery,24205.0,No,51.2,4231.0,5.29,92541.0,0.46,52.78 +9210,UK,2000,Cholera,Parasitic,16.05,11.14,3.52,0-18,Female,145248,94.93,4.89,9.67,Therapy,29718.0,Yes,72.35,259.0,9.1,12618.0,0.42,30.79 +9220,Australia,2022,Asthma,Genetic,19.98,7.96,8.84,61+,Male,609606,97.87,4.51,5.23,Therapy,49345.0,No,94.18,4359.0,6.52,28494.0,0.47,78.4 +9222,Brazil,2004,Leprosy,Cardiovascular,19.61,0.37,2.46,36-60,Male,230153,90.44,4.43,9.51,Surgery,36504.0,No,97.3,898.0,1.06,94219.0,0.54,30.04 +9226,Australia,2008,Hepatitis,Respiratory,15.31,4.03,3.27,36-60,Male,115004,82.85,1.12,4.08,Surgery,26967.0,No,88.58,3649.0,0.8,52088.0,0.85,42.73 +9229,USA,2023,Measles,Respiratory,19.32,4.11,5.45,61+,Female,975036,50.3,3.79,2.23,Vaccination,11686.0,No,78.91,3049.0,5.52,68481.0,0.81,37.86 +9234,Nigeria,2011,Cholera,Cardiovascular,6.87,9.47,1.21,61+,Male,893368,96.12,1.63,9.63,Vaccination,28492.0,No,71.33,4551.0,2.71,55127.0,0.71,33.26 +9241,Nigeria,2008,Dengue,Viral,10.44,3.45,1.08,19-35,Other,949735,83.68,1.92,5.3,Vaccination,1236.0,Yes,92.35,2822.0,0.02,74184.0,0.4,81.04 +9250,Canada,2016,Rabies,Viral,18.44,14.25,1.51,36-60,Female,405104,59.9,4.87,8.16,Vaccination,39027.0,No,61.92,4390.0,9.11,95410.0,0.74,56.72 +9253,UK,2024,Zika,Genetic,1.47,10.75,4.69,19-35,Male,438113,57.38,2.53,2.62,Medication,45966.0,No,82.36,1715.0,9.14,20165.0,0.73,37.02 +9255,Mexico,2002,Diabetes,Infectious,6.96,12.48,3.87,0-18,Male,357111,74.93,1.34,8.1,Surgery,31197.0,Yes,94.25,4236.0,4.6,67111.0,0.86,84.33 +9260,Brazil,2022,Hypertension,Infectious,0.12,3.12,9.97,36-60,Other,865091,59.15,2.25,5.23,Therapy,37525.0,No,76.11,1839.0,2.35,14561.0,0.68,50.8 +9265,Germany,2010,Rabies,Genetic,16.47,13.5,7.84,19-35,Female,597802,62.11,4.14,4.91,Vaccination,11852.0,No,77.16,563.0,1.73,64238.0,0.57,62.87 +9266,China,2010,Parkinson's Disease,Parasitic,2.51,2.49,5.72,19-35,Female,50728,56.17,3.23,1.9,Surgery,48145.0,Yes,54.38,1194.0,8.16,50883.0,0.42,22.29 +9275,Nigeria,2009,Measles,Metabolic,11.82,8.6,7.36,36-60,Female,293922,66.31,0.97,8.64,Therapy,27519.0,Yes,78.82,245.0,0.99,32891.0,0.47,76.34 +9292,South Africa,2001,Cholera,Genetic,2.88,13.52,9.08,36-60,Female,892745,86.77,3.93,4.53,Vaccination,35323.0,Yes,50.73,686.0,4.57,14785.0,0.81,89.84 +9300,France,2013,Alzheimer's Disease,Parasitic,8.97,5.05,2.44,0-18,Female,107819,99.18,3.37,5.64,Vaccination,9846.0,Yes,92.65,424.0,7.97,16908.0,0.57,39.42 +9301,China,2022,Diabetes,Neurological,2.04,2.47,7.25,36-60,Male,703621,74.92,1.9,9.49,Vaccination,6402.0,Yes,50.03,1855.0,8.22,16514.0,0.47,62.2 +9308,Germany,2018,Hypertension,Neurological,17.57,1.12,0.11,19-35,Female,3394,95.63,4.02,9.68,Vaccination,1915.0,Yes,71.29,204.0,7.67,91695.0,0.73,77.36 +9309,Indonesia,2017,Leprosy,Chronic,14.71,7.34,8.98,19-35,Female,622485,85.74,3.2,3.95,Medication,439.0,No,71.14,1163.0,7.2,69344.0,0.59,55.91 +9312,Indonesia,2019,HIV/AIDS,Infectious,13.88,12.16,0.18,19-35,Male,601480,69.05,4.01,8.83,Surgery,9219.0,Yes,53.8,4165.0,8.97,28528.0,0.46,72.66 +9317,China,2004,Zika,Genetic,13.18,0.66,4.65,19-35,Other,298335,96.57,1.9,2.6,Therapy,14869.0,No,52.53,4683.0,5.24,11937.0,0.8,76.88 +9321,Argentina,2002,Influenza,Neurological,11.36,1.82,0.26,36-60,Male,649827,71.47,1.35,4.6,Therapy,29621.0,No,95.35,34.0,6.66,37599.0,0.5,66.16 +9323,Canada,2002,Diabetes,Metabolic,19.42,7.67,0.45,19-35,Male,120423,83.97,1.57,9.59,Therapy,5613.0,Yes,89.81,4368.0,3.63,56395.0,0.41,76.2 +9325,Italy,2009,Diabetes,Viral,17.11,14.15,4.59,36-60,Female,390859,74.18,4.99,3.11,Medication,7885.0,Yes,80.52,2543.0,9.02,13342.0,0.56,38.65 +9326,France,2018,Ebola,Respiratory,16.08,14.71,2.67,61+,Other,223899,51.72,1.66,2.86,Therapy,25978.0,Yes,72.5,1742.0,5.06,92912.0,0.73,85.1 +9329,Indonesia,2010,Polio,Genetic,17.94,3.61,1.5,0-18,Other,389901,90.54,2.42,2.58,Therapy,31525.0,Yes,78.87,3074.0,7.62,87226.0,0.7,83.06 +9335,Mexico,2004,Tuberculosis,Genetic,3.93,2.95,5.81,36-60,Other,584846,87.09,4.89,5.72,Surgery,31551.0,No,61.36,1254.0,0.43,38961.0,0.81,66.14 +9343,Australia,2006,Leprosy,Respiratory,0.7,10.38,2.06,19-35,Other,554732,94.54,2.55,8.35,Vaccination,38152.0,No,75.74,1138.0,2.4,4628.0,0.41,58.72 +9346,Italy,2023,Dengue,Bacterial,7.38,12.18,1.07,36-60,Male,274053,86.28,1.45,9.15,Therapy,24129.0,No,54.92,4828.0,4.76,27181.0,0.84,88.84 +9358,Australia,2012,Cholera,Autoimmune,12.24,10.98,6.94,61+,Male,956806,69.56,2.98,6.57,Vaccination,46928.0,Yes,82.23,523.0,8.23,92315.0,0.43,85.63 +9364,Germany,2015,Zika,Respiratory,10.86,3.91,2.67,0-18,Female,874796,55.93,2.58,3.81,Surgery,17113.0,Yes,93.02,2391.0,9.93,48842.0,0.82,42.78 +9367,USA,2003,Polio,Metabolic,6.43,8.47,5.56,0-18,Male,105255,55.51,4.2,2.75,Therapy,39331.0,Yes,79.87,4235.0,9.06,15109.0,0.48,43.51 +9368,China,2015,Cancer,Neurological,16.34,13.71,5.52,36-60,Other,356145,78.87,1.05,8.59,Surgery,40628.0,Yes,77.67,3195.0,8.2,86587.0,0.56,71.72 +9369,South Africa,2000,Polio,Bacterial,10.89,10.71,5.14,19-35,Male,145763,88.66,0.59,2.01,Medication,5062.0,No,84.71,1309.0,1.65,68204.0,0.61,45.8 +9384,Nigeria,2010,Parkinson's Disease,Respiratory,11.24,4.27,2.05,0-18,Male,580385,85.43,2.13,5.29,Therapy,13902.0,Yes,77.57,603.0,0.19,5629.0,0.88,55.7 +9386,Germany,2000,Alzheimer's Disease,Infectious,5.78,5.21,5.95,19-35,Male,539532,86.53,2.86,6.48,Surgery,38499.0,No,92.22,278.0,3.83,49620.0,0.74,27.8 +9390,South Africa,2011,Measles,Neurological,13.13,0.98,2.2,19-35,Female,549156,86.98,2.83,4.21,Surgery,11521.0,No,78.17,1432.0,8.06,11436.0,0.41,62.14 +9401,Brazil,2009,Cancer,Metabolic,17.38,4.75,4.18,0-18,Male,690105,69.98,2.96,5.08,Medication,5393.0,No,72.76,1538.0,6.36,81047.0,0.85,59.03 +9402,Nigeria,2016,Tuberculosis,Cardiovascular,5.0,1.23,7.67,0-18,Male,577804,83.23,3.85,0.58,Medication,17001.0,Yes,81.63,4852.0,1.92,44559.0,0.41,60.95 +9406,South Africa,2011,Alzheimer's Disease,Neurological,1.6,7.16,3.08,36-60,Female,167950,79.24,2.83,3.47,Medication,49532.0,No,80.09,2606.0,8.81,5468.0,0.62,86.25 +9415,South Korea,2016,Influenza,Parasitic,8.24,4.7,1.62,36-60,Female,944619,85.94,4.06,8.59,Vaccination,11601.0,No,59.92,1408.0,2.29,23732.0,0.6,61.94 +9416,Nigeria,2002,Influenza,Chronic,16.69,4.53,7.19,61+,Male,926398,86.5,2.84,8.73,Vaccination,43275.0,Yes,55.76,4406.0,1.56,72691.0,0.76,32.44 +9421,Russia,2019,Dengue,Autoimmune,7.53,2.32,5.29,61+,Female,384749,68.13,4.36,5.8,Medication,17370.0,No,64.1,4214.0,6.98,98060.0,0.6,75.36 +9424,France,2009,Leprosy,Cardiovascular,1.86,9.43,8.61,61+,Male,934729,98.82,3.03,0.63,Therapy,968.0,No,61.86,2302.0,5.56,16440.0,0.55,48.41 +9426,Russia,2012,Zika,Bacterial,19.73,9.86,3.69,36-60,Male,638191,93.32,4.19,7.01,Therapy,18522.0,Yes,76.68,2281.0,9.28,70928.0,0.85,50.2 +9430,Indonesia,2014,Tuberculosis,Bacterial,14.25,0.78,5.25,19-35,Other,189881,61.2,2.81,9.75,Vaccination,48100.0,No,93.21,4664.0,7.91,33746.0,0.41,45.96 +9432,Saudi Arabia,2023,COVID-19,Viral,15.3,8.58,2.38,19-35,Female,85893,86.31,1.05,2.99,Medication,18516.0,No,67.95,3358.0,5.88,66215.0,0.65,84.91 +9449,France,2021,Leprosy,Cardiovascular,1.28,10.99,2.35,0-18,Female,842722,55.8,3.62,2.0,Surgery,5011.0,Yes,97.83,1649.0,0.14,59178.0,0.85,28.93 +9466,Argentina,2023,Asthma,Parasitic,16.86,11.83,1.53,61+,Male,839629,99.88,4.09,9.32,Vaccination,35376.0,Yes,93.73,4898.0,4.18,27667.0,0.81,53.7 +9483,UK,2000,Rabies,Genetic,17.59,8.91,3.31,0-18,Other,290642,63.99,4.94,6.77,Surgery,4665.0,Yes,55.42,1270.0,7.03,29269.0,0.84,35.41 +9485,Japan,2000,Asthma,Autoimmune,2.09,9.4,3.5,19-35,Other,539919,58.78,4.79,2.54,Surgery,605.0,Yes,54.94,815.0,4.22,16531.0,0.44,48.67 +9490,South Korea,2015,Alzheimer's Disease,Respiratory,10.74,5.82,8.84,61+,Other,751689,50.64,4.96,3.18,Surgery,8172.0,Yes,71.95,2634.0,5.96,30386.0,0.49,33.8 +9491,Italy,2011,Asthma,Respiratory,14.82,0.34,9.37,0-18,Male,123153,96.38,0.78,7.2,Vaccination,44340.0,Yes,53.29,1439.0,0.83,32995.0,0.42,50.15 +9504,Japan,2021,Diabetes,Respiratory,12.56,4.35,6.1,61+,Female,426060,99.11,4.94,1.95,Medication,39605.0,No,83.97,3864.0,1.19,34313.0,0.65,75.82 +9513,Indonesia,2008,HIV/AIDS,Cardiovascular,2.26,12.3,0.3,0-18,Male,475842,93.73,4.19,5.11,Surgery,12114.0,Yes,57.59,880.0,7.03,4526.0,0.52,36.8 +9517,Argentina,2010,Dengue,Genetic,1.34,2.35,4.9,61+,Other,211844,80.01,2.83,4.78,Therapy,42078.0,Yes,63.87,1018.0,3.44,98205.0,0.5,66.45 +9519,Russia,2006,Malaria,Chronic,13.47,5.39,5.71,0-18,Female,559912,53.09,1.83,1.72,Medication,19825.0,Yes,66.12,4724.0,9.99,39651.0,0.59,37.45 +9524,Canada,2011,Tuberculosis,Neurological,19.0,6.01,3.87,0-18,Male,298280,56.2,4.56,6.81,Medication,14211.0,No,81.41,3932.0,9.92,69072.0,0.89,48.56 +9526,Australia,2015,Influenza,Chronic,11.76,2.7,9.7,0-18,Female,572816,84.95,0.96,7.85,Surgery,32725.0,No,84.78,2519.0,4.03,16954.0,0.76,36.63 +9528,Argentina,2000,Tuberculosis,Infectious,16.93,4.86,4.37,0-18,Other,323586,69.54,0.65,5.81,Therapy,37749.0,No,60.93,1530.0,0.11,40229.0,0.62,21.87 +9529,Turkey,2000,Hepatitis,Parasitic,1.48,12.11,8.0,19-35,Other,18692,80.28,3.05,1.68,Medication,14695.0,No,59.9,4995.0,2.85,98739.0,0.59,29.87 +9533,Argentina,2002,Malaria,Metabolic,0.73,12.61,2.6,36-60,Other,484260,69.21,4.68,7.84,Therapy,8341.0,No,82.72,3392.0,3.57,2179.0,0.82,58.47 +9534,Saudi Arabia,2009,Tuberculosis,Respiratory,6.85,2.6,2.05,36-60,Other,324412,62.66,2.97,9.91,Surgery,34029.0,No,79.24,187.0,1.49,90736.0,0.68,41.33 +9536,Saudi Arabia,2013,Tuberculosis,Genetic,9.62,3.3,5.38,19-35,Other,373917,70.48,3.43,9.1,Surgery,26826.0,No,58.83,639.0,6.26,34104.0,0.89,86.93 +9538,Brazil,2024,COVID-19,Metabolic,5.1,10.97,6.88,0-18,Other,927641,73.06,3.48,6.03,Therapy,16195.0,Yes,92.16,334.0,3.35,60031.0,0.64,57.32 +9544,Canada,2021,COVID-19,Bacterial,1.97,1.1,6.06,0-18,Female,612646,62.43,0.82,5.19,Medication,22990.0,No,52.78,1390.0,2.45,78900.0,0.77,20.33 +9551,South Africa,2024,Cholera,Parasitic,6.3,9.77,4.66,36-60,Female,19448,97.71,2.79,7.32,Medication,23291.0,Yes,66.6,4185.0,3.56,78268.0,0.84,53.25 +9552,Australia,2013,Polio,Parasitic,13.69,2.9,2.28,61+,Female,874361,99.86,3.18,4.87,Surgery,38600.0,Yes,95.58,4597.0,8.01,44316.0,0.67,27.53 +9553,China,2015,Parkinson's Disease,Chronic,8.33,8.68,7.28,36-60,Female,567543,68.74,2.75,9.16,Surgery,14527.0,Yes,83.06,3909.0,0.47,34209.0,0.54,54.7 +9558,UK,2011,Polio,Neurological,17.96,8.3,8.58,19-35,Female,615825,70.02,0.63,8.78,Surgery,40101.0,No,53.73,525.0,0.89,90769.0,0.45,26.26 +9562,Turkey,2010,Ebola,Neurological,11.65,12.36,9.74,36-60,Other,268856,73.72,0.58,8.34,Therapy,42426.0,No,51.76,2028.0,1.85,13446.0,0.44,33.24 +9568,Germany,2019,HIV/AIDS,Chronic,5.72,8.31,3.49,19-35,Other,254120,84.67,4.91,4.31,Vaccination,27782.0,No,63.72,3113.0,0.5,25846.0,0.9,40.6 +9569,Australia,2006,Parkinson's Disease,Infectious,2.45,1.89,3.93,61+,Female,619548,99.02,3.3,8.52,Surgery,2118.0,Yes,88.55,2752.0,8.13,30574.0,0.84,20.15 +9571,USA,2011,Cancer,Genetic,14.61,10.67,0.76,0-18,Male,615957,63.74,2.5,9.93,Surgery,501.0,No,92.56,4929.0,0.6,86016.0,0.57,36.09 +9576,USA,2012,COVID-19,Genetic,2.89,13.83,9.98,61+,Male,420413,62.66,1.46,6.73,Therapy,35267.0,No,68.49,1390.0,4.44,30287.0,0.45,72.88 +9577,Italy,2021,Tuberculosis,Cardiovascular,18.43,10.26,8.82,36-60,Other,209489,77.21,3.25,6.47,Vaccination,7895.0,No,73.64,733.0,7.22,20952.0,0.83,34.73 +9587,China,2010,Polio,Parasitic,0.46,6.95,7.12,0-18,Female,862924,86.53,2.57,1.71,Vaccination,2020.0,Yes,66.0,897.0,0.5,89271.0,0.8,67.63 +9598,Turkey,2009,Leprosy,Parasitic,11.84,11.55,4.23,0-18,Other,482562,71.05,0.64,8.72,Surgery,10753.0,Yes,95.4,2285.0,8.98,61883.0,0.77,41.16 +9601,Turkey,2004,Tuberculosis,Viral,5.08,9.97,3.2,36-60,Other,693800,62.02,1.9,4.91,Vaccination,6197.0,No,92.8,4079.0,7.89,36868.0,0.84,72.32 +9602,Australia,2009,Polio,Autoimmune,13.04,13.68,9.2,61+,Other,899795,55.35,4.97,8.68,Surgery,30032.0,Yes,64.61,4480.0,9.35,93423.0,0.5,30.55 +9603,Saudi Arabia,2015,Malaria,Chronic,15.45,9.52,4.26,0-18,Other,196635,77.96,2.02,3.58,Vaccination,38011.0,Yes,50.72,4376.0,5.77,49954.0,0.65,86.4 +9607,South Korea,2000,Dengue,Infectious,2.18,13.48,0.83,61+,Female,30097,96.6,3.44,3.17,Vaccination,3576.0,No,65.06,2447.0,6.62,85748.0,0.87,20.8 +9616,Russia,2013,Leprosy,Neurological,0.74,3.5,3.04,19-35,Male,794128,77.64,1.47,2.02,Surgery,18042.0,Yes,79.81,4719.0,4.83,1550.0,0.52,26.26 +9617,Italy,2001,Parkinson's Disease,Cardiovascular,6.62,12.45,7.42,0-18,Female,115984,61.21,4.21,8.43,Medication,22703.0,No,90.11,1646.0,7.49,3259.0,0.7,43.59 +9626,Indonesia,2006,Leprosy,Bacterial,9.13,2.98,6.11,61+,Female,948845,62.4,1.1,3.24,Medication,10631.0,Yes,94.17,2481.0,2.65,12293.0,0.55,20.13 +9633,Saudi Arabia,2007,Influenza,Bacterial,18.1,13.95,7.66,19-35,Female,982537,96.36,3.21,1.45,Vaccination,41459.0,No,51.74,1032.0,1.0,92017.0,0.69,41.5 +9641,Canada,2000,Hepatitis,Cardiovascular,2.13,3.74,3.12,36-60,Other,35004,77.91,1.74,8.67,Vaccination,9435.0,No,60.47,2073.0,4.38,14671.0,0.7,36.35 +9644,Indonesia,2001,Tuberculosis,Viral,14.5,7.38,3.58,19-35,Female,968307,68.05,3.97,5.82,Medication,11591.0,Yes,50.2,3578.0,6.78,2766.0,0.88,88.94 +9651,USA,2015,Dengue,Respiratory,18.06,0.49,9.86,36-60,Female,245592,83.51,3.5,2.97,Surgery,12570.0,Yes,97.9,2161.0,4.72,3793.0,0.78,20.5 +9652,South Korea,2010,Diabetes,Chronic,2.22,6.89,7.57,61+,Female,271700,73.55,4.78,2.25,Medication,34856.0,Yes,67.88,3986.0,2.69,66136.0,0.89,59.14 +9655,Russia,2000,Alzheimer's Disease,Parasitic,12.06,11.57,0.76,61+,Male,380930,97.92,2.6,0.79,Therapy,13475.0,No,86.96,4430.0,2.18,72433.0,0.62,84.84 +9656,China,2018,Influenza,Genetic,3.1,9.08,3.06,36-60,Other,811973,65.68,3.27,2.61,Vaccination,36667.0,Yes,55.07,1237.0,7.82,34061.0,0.87,73.55 +9658,France,2011,Cholera,Neurological,8.49,2.3,7.28,36-60,Female,686131,80.94,0.57,1.54,Medication,45255.0,No,81.63,3091.0,5.7,54176.0,0.44,84.54 +9665,China,2002,HIV/AIDS,Autoimmune,19.1,9.0,6.64,0-18,Other,482921,53.74,3.02,8.55,Surgery,9711.0,Yes,66.99,446.0,1.83,27717.0,0.79,70.59 +9667,Australia,2005,Zika,Metabolic,18.6,1.17,4.82,0-18,Male,718159,93.42,3.87,7.06,Vaccination,28360.0,Yes,93.79,1019.0,4.9,2732.0,0.51,89.98 +9668,UK,2019,Cancer,Neurological,0.96,4.83,7.28,36-60,Female,379893,92.21,3.76,2.35,Therapy,40459.0,Yes,53.52,3576.0,4.09,16428.0,0.86,20.66 +9670,Turkey,2012,Rabies,Infectious,3.56,9.54,9.06,19-35,Other,765190,58.18,2.14,6.23,Medication,9813.0,No,88.19,4610.0,2.15,94018.0,0.64,35.48 +9679,China,2008,Measles,Genetic,9.62,2.12,8.41,19-35,Other,660007,76.19,3.15,6.97,Vaccination,35043.0,Yes,82.72,602.0,6.37,1230.0,0.5,34.9 +9682,Argentina,2020,Measles,Genetic,7.68,8.09,2.28,61+,Other,368846,87.63,3.43,6.0,Vaccination,29370.0,Yes,77.34,3975.0,4.02,83426.0,0.67,83.06 +9685,Australia,2023,HIV/AIDS,Viral,6.65,14.47,3.53,19-35,Other,633691,54.68,1.16,3.49,Vaccination,37953.0,Yes,61.07,760.0,1.14,46034.0,0.59,63.34 +9686,South Africa,2003,Influenza,Infectious,15.23,9.62,1.29,61+,Other,531254,55.39,1.38,7.99,Therapy,24359.0,Yes,61.76,3207.0,3.34,68920.0,0.7,88.37 +9688,Canada,2004,Alzheimer's Disease,Metabolic,11.65,0.58,7.86,0-18,Male,760334,75.35,1.81,9.42,Surgery,447.0,No,68.19,2563.0,7.9,79772.0,0.44,87.22 +9689,Japan,2001,Alzheimer's Disease,Viral,3.93,13.4,4.61,61+,Male,901287,75.84,2.23,9.73,Surgery,47889.0,Yes,67.68,2352.0,3.64,73029.0,0.82,35.66 +9693,UK,2008,Asthma,Chronic,11.98,7.48,5.18,19-35,Female,285888,58.4,4.16,5.39,Vaccination,22738.0,No,57.36,2958.0,3.92,5085.0,0.44,22.1 +9701,South Korea,2001,COVID-19,Respiratory,16.72,11.12,8.89,0-18,Male,24866,69.76,0.81,3.18,Therapy,40722.0,Yes,51.14,1441.0,9.77,32312.0,0.57,37.94 +9703,Australia,2016,Influenza,Genetic,19.94,13.85,1.35,0-18,Other,594966,74.58,2.15,6.3,Surgery,31329.0,No,60.16,2663.0,6.31,27146.0,0.65,59.72 +9708,Argentina,2007,Dengue,Chronic,14.87,8.89,5.12,19-35,Male,318404,97.92,3.12,2.58,Vaccination,151.0,No,67.07,2779.0,5.04,49265.0,0.72,41.57 +9709,Russia,2020,Alzheimer's Disease,Cardiovascular,8.41,3.88,1.6,61+,Female,257307,92.65,4.48,3.66,Therapy,37465.0,No,57.89,1795.0,7.41,73799.0,0.64,71.45 +9710,Japan,2015,Cancer,Genetic,8.72,2.51,1.22,0-18,Male,495611,71.66,1.59,9.43,Vaccination,11438.0,Yes,84.01,3936.0,6.31,19302.0,0.69,41.91 +9711,Brazil,2004,Malaria,Infectious,14.11,2.61,7.25,61+,Male,142190,59.07,4.68,2.32,Vaccination,36537.0,No,68.53,1887.0,5.91,2070.0,0.44,63.25 +9717,South Africa,2013,Cancer,Respiratory,0.64,12.15,0.94,36-60,Other,668388,53.82,2.81,1.2,Vaccination,38526.0,Yes,86.56,1823.0,1.65,90247.0,0.81,81.36 +9719,South Africa,2009,Leprosy,Parasitic,8.57,12.32,6.73,19-35,Female,517622,72.79,3.27,2.34,Vaccination,11029.0,No,80.64,3898.0,2.3,57944.0,0.48,53.25 +9723,Nigeria,2008,Ebola,Respiratory,4.03,4.24,1.24,61+,Male,47466,92.14,3.02,7.55,Therapy,17241.0,No,78.89,1639.0,5.33,5143.0,0.71,67.16 +9726,Argentina,2019,Parkinson's Disease,Cardiovascular,13.52,3.68,8.67,19-35,Female,615469,87.39,4.36,3.02,Surgery,48389.0,Yes,87.28,2069.0,3.63,14705.0,0.49,62.81 +9728,Russia,2024,Measles,Viral,18.22,11.18,0.23,0-18,Female,808635,50.34,4.77,8.92,Surgery,16163.0,Yes,98.13,2732.0,1.85,34735.0,0.43,45.69 +9729,Germany,2014,Polio,Neurological,8.26,14.99,5.91,19-35,Female,500094,96.46,4.62,5.36,Vaccination,28431.0,No,68.14,1752.0,6.14,29023.0,0.74,43.58 +9738,South Africa,2019,Rabies,Bacterial,15.8,6.75,2.4,61+,Male,881540,83.79,2.02,5.89,Surgery,26701.0,Yes,86.02,4960.0,7.24,56326.0,0.78,80.69 +9742,Russia,2020,Dengue,Parasitic,15.15,8.47,8.82,19-35,Other,719350,69.64,4.1,5.47,Vaccination,14311.0,Yes,88.93,563.0,6.58,45190.0,0.43,48.94 +9750,Argentina,2023,Influenza,Parasitic,15.1,1.8,5.51,19-35,Male,592080,52.41,2.02,2.06,Surgery,5380.0,Yes,62.23,2277.0,7.36,55401.0,0.42,68.81 +9756,France,2012,Tuberculosis,Infectious,1.15,12.38,4.69,0-18,Male,767781,52.58,3.69,0.51,Surgery,38867.0,Yes,56.48,4537.0,7.61,15578.0,0.86,33.18 +9758,Japan,2021,Ebola,Respiratory,8.56,2.2,5.88,61+,Male,184947,62.54,3.97,8.37,Therapy,36529.0,Yes,66.77,643.0,3.94,41919.0,0.53,24.49 +9763,India,2014,Dengue,Genetic,19.25,10.51,8.92,36-60,Female,815587,71.91,0.52,6.13,Vaccination,43029.0,Yes,50.65,4353.0,1.38,52576.0,0.61,73.49 +9764,Italy,2016,Asthma,Genetic,5.73,13.75,0.26,61+,Male,754112,85.54,4.38,7.59,Medication,20870.0,Yes,63.96,1064.0,0.64,51344.0,0.4,47.79 +9775,UK,2001,COVID-19,Metabolic,4.22,0.47,7.83,0-18,Male,335220,77.11,4.92,8.95,Vaccination,25665.0,No,62.62,2000.0,9.45,85175.0,0.65,55.24 +9776,Mexico,2022,Hepatitis,Metabolic,6.41,3.78,6.51,36-60,Male,735271,59.35,1.4,6.88,Therapy,44748.0,No,62.43,3280.0,4.7,42254.0,0.53,72.44 +9785,Japan,2002,Cancer,Neurological,11.78,4.6,9.26,0-18,Male,470429,91.93,1.27,0.86,Medication,37807.0,Yes,80.16,2592.0,4.25,21174.0,0.59,71.18 +9789,Brazil,2010,Diabetes,Infectious,7.5,12.88,0.92,36-60,Female,368857,95.19,1.51,6.98,Medication,31026.0,Yes,55.42,1968.0,1.56,20183.0,0.86,77.98 +9791,Canada,2023,Ebola,Infectious,5.47,2.2,2.49,61+,Female,129590,82.32,1.51,7.28,Medication,22956.0,No,57.43,17.0,0.34,54686.0,0.73,84.46 +9808,Indonesia,2006,Parkinson's Disease,Chronic,15.53,1.79,7.36,61+,Male,202339,74.52,1.4,6.03,Medication,27684.0,No,96.13,3912.0,9.2,85817.0,0.5,71.72 +9810,Russia,2004,Dengue,Parasitic,11.8,11.47,7.17,61+,Female,370195,78.41,4.06,8.45,Medication,3432.0,Yes,82.02,3380.0,8.99,9318.0,0.63,71.3 +9812,South Africa,2000,Hepatitis,Chronic,17.66,14.64,0.24,61+,Male,716735,78.31,2.18,3.43,Therapy,37555.0,No,83.57,708.0,7.16,1733.0,0.89,26.59 +9831,Japan,2013,COVID-19,Bacterial,18.41,13.39,5.01,61+,Female,467928,86.8,1.25,3.95,Surgery,21584.0,Yes,66.71,147.0,9.12,4126.0,0.53,20.71 +9845,Russia,2012,Ebola,Respiratory,6.0,5.31,9.41,36-60,Other,676734,87.16,2.79,3.82,Vaccination,36657.0,No,69.81,1359.0,9.26,86532.0,0.53,65.28 +9852,India,2004,Zika,Neurological,13.11,4.61,3.85,36-60,Female,19824,60.25,0.62,5.72,Medication,1745.0,No,93.2,1464.0,5.16,87948.0,0.85,86.25 +9854,USA,2016,Zika,Chronic,14.05,3.95,4.67,19-35,Male,233918,64.84,3.04,8.94,Surgery,12820.0,Yes,98.91,2620.0,9.13,2066.0,0.49,54.98 +9863,Russia,2011,HIV/AIDS,Chronic,9.46,12.89,7.63,36-60,Male,166253,60.99,2.67,4.01,Medication,11288.0,No,72.08,429.0,6.45,4877.0,0.83,27.61 +9866,Turkey,2011,Dengue,Viral,13.27,9.23,0.51,61+,Female,207707,91.63,3.09,2.39,Medication,1004.0,Yes,65.07,3747.0,0.15,74234.0,0.87,33.11 +9867,Saudi Arabia,2012,Parkinson's Disease,Parasitic,6.77,10.56,9.07,36-60,Other,614243,50.56,4.86,4.76,Surgery,38757.0,Yes,90.15,2998.0,4.75,87952.0,0.6,83.16 +9868,Brazil,2016,Cholera,Metabolic,7.48,6.59,3.08,0-18,Other,508822,52.39,4.93,3.26,Therapy,4114.0,No,93.45,2331.0,1.86,27050.0,0.7,40.05 +9873,Mexico,2012,COVID-19,Parasitic,2.25,13.82,6.36,36-60,Female,546336,50.87,3.62,8.82,Therapy,1442.0,No,66.77,4423.0,3.14,46683.0,0.73,81.1 +9874,Nigeria,2023,Ebola,Genetic,19.72,12.86,0.52,36-60,Female,233047,60.85,4.19,3.78,Medication,18183.0,Yes,93.56,3665.0,0.44,19522.0,0.43,64.75 +9877,Turkey,2005,Cancer,Respiratory,16.24,5.49,5.03,19-35,Other,32721,81.84,2.37,4.45,Surgery,21379.0,No,82.23,928.0,9.75,71190.0,0.63,61.88 +9879,Australia,2024,Measles,Metabolic,7.24,8.84,9.07,0-18,Female,9738,78.98,2.32,8.28,Therapy,43933.0,Yes,85.05,2421.0,1.87,80819.0,0.75,43.13 +9893,France,2017,Alzheimer's Disease,Cardiovascular,5.42,3.49,9.32,19-35,Male,399523,99.43,4.27,8.73,Medication,48351.0,No,57.26,2995.0,2.7,45759.0,0.59,73.26 +9895,Italy,2010,Rabies,Cardiovascular,19.35,6.05,2.42,61+,Female,463290,53.47,4.78,7.08,Surgery,12009.0,Yes,78.06,951.0,5.19,26677.0,0.71,46.6 +9899,Japan,2009,Leprosy,Infectious,3.23,3.03,1.65,61+,Other,874658,60.22,0.75,1.61,Therapy,17406.0,No,64.67,2836.0,9.98,12237.0,0.89,70.88 +9901,Brazil,2013,Zika,Cardiovascular,4.25,3.64,3.49,61+,Male,807995,99.81,3.21,0.95,Surgery,18913.0,Yes,95.38,4265.0,0.67,76249.0,0.6,61.61 +9903,South Korea,2017,Tuberculosis,Genetic,18.03,9.73,4.27,0-18,Other,905102,92.05,3.43,6.7,Medication,48183.0,Yes,77.89,2912.0,1.12,13780.0,0.87,66.67 +9909,Brazil,2022,Hypertension,Autoimmune,17.5,2.87,3.78,36-60,Female,448564,90.63,3.31,8.02,Therapy,39802.0,Yes,85.83,1537.0,3.31,74926.0,0.61,89.18 +9911,Indonesia,2004,Ebola,Autoimmune,9.61,2.22,2.27,0-18,Male,327703,66.46,4.98,4.38,Medication,25583.0,No,68.26,886.0,0.71,50638.0,0.49,35.84 +9913,Russia,2002,Hypertension,Parasitic,5.93,4.2,8.0,61+,Female,123886,51.61,2.35,2.36,Vaccination,38395.0,No,85.7,4895.0,6.08,23424.0,0.56,59.7 +9916,USA,2012,Cancer,Autoimmune,10.51,7.88,3.66,19-35,Male,849843,72.15,4.59,9.53,Vaccination,28252.0,No,72.89,2343.0,8.77,44725.0,0.71,75.8 +9917,Japan,2019,Rabies,Bacterial,0.29,1.51,6.0,36-60,Male,915410,89.17,4.83,3.31,Medication,35457.0,Yes,52.47,289.0,0.74,94938.0,0.66,31.5 +9935,UK,2009,Malaria,Autoimmune,9.41,11.55,1.67,19-35,Male,618167,58.24,1.33,1.51,Medication,24577.0,Yes,67.35,3024.0,2.52,7404.0,0.41,85.28 +9941,Japan,2020,Rabies,Respiratory,4.62,5.64,2.47,0-18,Male,855942,67.9,4.97,6.92,Surgery,40718.0,Yes,63.06,2809.0,2.65,13350.0,0.85,33.38 +9943,UK,2015,Cholera,Neurological,1.93,12.12,0.37,0-18,Other,326410,87.79,0.81,8.74,Therapy,24065.0,Yes,69.06,4834.0,7.78,74461.0,0.41,71.1 +9957,Argentina,2007,COVID-19,Parasitic,10.25,12.92,9.51,0-18,Male,60939,54.85,3.36,8.29,Vaccination,25705.0,Yes,57.86,4724.0,9.79,49153.0,0.73,49.13 +9965,Germany,2021,Alzheimer's Disease,Parasitic,16.63,9.83,6.54,36-60,Other,388625,89.57,2.48,2.63,Medication,39056.0,Yes,84.6,1785.0,5.85,21691.0,0.89,64.22 +9978,Japan,2002,Ebola,Parasitic,9.15,3.8,9.17,19-35,Other,483511,51.41,4.8,8.45,Therapy,44088.0,No,70.92,1132.0,3.35,91392.0,0.67,71.84 +9986,Japan,2010,Diabetes,Parasitic,19.43,14.08,4.06,0-18,Male,367888,91.69,1.19,2.31,Vaccination,11682.0,No,53.4,2146.0,3.96,70344.0,0.81,63.6 +9989,South Africa,2008,Asthma,Viral,9.83,6.4,0.46,61+,Other,308107,78.2,2.97,6.93,Therapy,30934.0,No,85.24,1400.0,4.24,18769.0,0.71,77.81 +9992,Indonesia,2012,Cancer,Respiratory,2.79,6.99,5.23,19-35,Other,130997,64.99,1.27,5.02,Medication,39567.0,No,70.67,2859.0,1.32,40822.0,0.77,62.22 +9994,Turkey,2010,HIV/AIDS,Respiratory,17.1,5.16,4.54,19-35,Other,783542,69.09,4.16,3.8,Surgery,23267.0,No,58.41,4237.0,7.59,50917.0,0.53,32.64 +10001,South Korea,2020,Asthma,Cardiovascular,13.12,14.36,2.2,61+,Female,232813,57.62,1.99,0.83,Vaccination,15941.0,Yes,73.77,1478.0,2.73,10346.0,0.74,36.55 +10004,Argentina,2009,Cancer,Bacterial,3.59,7.82,3.18,0-18,Female,476076,71.68,3.18,7.57,Therapy,49281.0,Yes,63.29,801.0,5.72,18828.0,0.72,58.89 +10008,Turkey,2001,Leprosy,Genetic,2.24,9.58,6.47,0-18,Female,299726,98.74,1.54,0.52,Vaccination,26130.0,Yes,52.03,110.0,0.42,72455.0,0.78,64.28 +10009,Argentina,2022,Influenza,Genetic,13.63,4.2,7.51,19-35,Other,498235,88.79,1.72,1.08,Vaccination,22947.0,No,72.09,683.0,3.52,11219.0,0.58,49.15 +10010,Australia,2022,Dengue,Chronic,8.8,4.26,5.62,61+,Male,277375,55.17,1.53,9.17,Surgery,1372.0,Yes,68.77,2424.0,0.88,88320.0,0.4,24.29 +10011,Indonesia,2015,Rabies,Metabolic,13.75,9.09,7.95,0-18,Other,155376,98.75,2.91,5.52,Therapy,4363.0,Yes,65.05,973.0,5.38,41025.0,0.64,79.05 +10013,UK,2007,Diabetes,Genetic,10.2,3.68,1.04,36-60,Female,20912,90.26,0.9,2.16,Medication,29657.0,No,68.16,392.0,1.78,45949.0,0.78,34.36 +10014,Saudi Arabia,2024,Tuberculosis,Genetic,4.61,4.05,9.49,61+,Other,654792,91.42,2.73,2.76,Surgery,281.0,No,51.31,3537.0,4.42,64830.0,0.69,26.69 +10018,Turkey,2007,Hepatitis,Bacterial,8.73,0.59,0.54,0-18,Other,410826,89.29,4.69,6.39,Medication,25646.0,Yes,59.08,1195.0,1.44,80874.0,0.74,36.77 +10022,Italy,2018,Zika,Viral,6.94,8.4,7.96,61+,Male,880351,67.04,4.38,4.34,Medication,37785.0,No,50.64,1024.0,8.99,66273.0,0.45,45.21 +10040,South Africa,2002,Leprosy,Genetic,3.35,7.64,9.38,36-60,Other,87207,71.98,1.79,8.49,Therapy,26497.0,Yes,72.07,596.0,9.41,77782.0,0.77,84.92 +10049,South Africa,2018,Influenza,Parasitic,3.48,0.89,7.23,19-35,Male,550210,87.23,1.77,2.65,Surgery,8384.0,No,70.05,4874.0,6.72,3168.0,0.78,41.0 +10060,Russia,2001,Diabetes,Neurological,16.59,2.58,8.95,36-60,Female,62116,60.04,4.59,5.91,Surgery,13603.0,Yes,82.24,712.0,0.52,52476.0,0.69,63.06 +10069,Australia,2014,Alzheimer's Disease,Infectious,12.07,13.54,3.84,19-35,Other,821080,65.61,4.03,3.46,Surgery,31172.0,Yes,82.98,3968.0,4.92,47921.0,0.75,51.65 +10074,Turkey,2003,HIV/AIDS,Respiratory,2.94,13.91,2.1,36-60,Female,970116,52.84,2.14,0.63,Medication,37873.0,Yes,60.42,4811.0,0.22,43436.0,0.8,24.89 +10077,Brazil,2004,Polio,Parasitic,4.51,0.62,3.58,0-18,Male,131784,75.75,3.99,5.75,Surgery,10569.0,No,92.61,1685.0,6.2,65686.0,0.69,86.84 +10088,Brazil,2010,Parkinson's Disease,Genetic,15.34,12.87,0.54,36-60,Female,936027,70.18,4.07,8.49,Surgery,2723.0,Yes,96.38,4237.0,6.71,23663.0,0.67,33.88 +10089,Nigeria,2000,Alzheimer's Disease,Neurological,19.54,6.12,1.85,19-35,Other,202581,99.27,3.41,0.89,Medication,22458.0,Yes,86.92,3652.0,9.2,82108.0,0.72,33.7 +10099,Saudi Arabia,2016,Hepatitis,Genetic,16.55,13.28,6.28,36-60,Female,224983,53.48,4.81,1.18,Surgery,1669.0,No,98.86,3983.0,8.22,3986.0,0.61,75.94 +10106,Australia,2021,COVID-19,Metabolic,11.56,3.24,7.19,19-35,Female,589277,66.34,3.06,9.75,Surgery,17861.0,No,61.35,2754.0,6.31,71758.0,0.48,81.04 +10113,Germany,2001,Parkinson's Disease,Cardiovascular,11.13,13.8,0.1,19-35,Other,773184,96.36,4.12,7.15,Medication,27140.0,No,56.71,565.0,4.2,84981.0,0.8,40.34 +10124,Nigeria,2024,Hepatitis,Infectious,13.88,1.38,9.12,61+,Female,126970,92.37,4.5,9.15,Surgery,25931.0,No,78.42,585.0,2.68,34874.0,0.76,77.36 +10125,Turkey,2019,Cholera,Metabolic,10.49,0.28,6.7,19-35,Female,194725,57.86,4.96,1.84,Medication,3497.0,Yes,82.02,438.0,1.81,98645.0,0.48,48.21 +10140,Japan,2000,Rabies,Infectious,18.21,3.11,8.63,0-18,Female,782088,60.72,2.0,4.49,Medication,32593.0,Yes,85.75,4484.0,6.7,4393.0,0.82,26.22 +10148,Italy,2007,Malaria,Metabolic,1.64,8.29,9.97,61+,Male,678484,84.44,2.67,1.54,Medication,33092.0,Yes,60.25,4889.0,5.42,90296.0,0.89,34.19 +10153,South Korea,2022,Hepatitis,Respiratory,10.14,0.24,8.72,61+,Male,116144,76.42,4.98,1.51,Surgery,42111.0,No,51.19,125.0,5.74,89526.0,0.73,68.87 +10160,South Africa,2012,Tuberculosis,Chronic,18.52,12.73,7.63,61+,Male,142241,67.6,3.25,4.11,Therapy,2793.0,No,55.81,2658.0,5.67,70814.0,0.65,46.84 +10172,India,2000,COVID-19,Respiratory,4.77,7.79,2.66,61+,Other,149581,50.69,0.87,6.39,Therapy,30196.0,No,68.17,4616.0,1.93,13638.0,0.61,62.84 +10178,China,2000,Dengue,Bacterial,11.23,8.52,6.8,19-35,Female,242040,63.81,1.48,3.6,Surgery,8809.0,No,72.65,2314.0,8.38,30236.0,0.57,78.28 +10181,South Africa,2024,Polio,Chronic,8.39,1.93,0.34,36-60,Male,330213,99.18,1.64,0.68,Medication,19015.0,Yes,83.66,1074.0,4.91,59872.0,0.47,58.37 +10189,UK,2016,Hypertension,Chronic,3.64,6.28,7.62,36-60,Female,933143,82.54,3.73,1.71,Surgery,46296.0,Yes,68.65,1576.0,6.98,58621.0,0.86,57.08 +10200,Saudi Arabia,2001,Rabies,Bacterial,16.02,1.41,2.59,61+,Other,779070,91.08,0.61,1.23,Therapy,11217.0,Yes,55.98,2195.0,0.77,40378.0,0.59,24.01 +10206,China,2013,COVID-19,Parasitic,11.09,6.69,2.74,36-60,Male,411259,56.62,3.26,5.66,Surgery,35639.0,No,87.89,993.0,1.6,22896.0,0.53,41.92 +10217,Mexico,2011,Diabetes,Infectious,1.34,3.78,7.45,0-18,Male,112191,91.94,0.79,5.79,Surgery,3986.0,No,67.61,2682.0,7.4,941.0,0.57,53.81 +10244,Saudi Arabia,2023,Alzheimer's Disease,Autoimmune,9.54,10.07,6.68,19-35,Female,521109,68.37,1.93,9.01,Medication,9552.0,Yes,92.64,3111.0,8.99,45164.0,0.4,26.13 +10248,Japan,2001,Hepatitis,Autoimmune,11.97,13.61,6.85,19-35,Other,266442,52.7,2.31,1.52,Therapy,42518.0,Yes,89.17,2874.0,6.45,58892.0,0.77,31.41 +10253,Saudi Arabia,2011,HIV/AIDS,Chronic,18.64,3.73,5.5,0-18,Other,861332,53.54,3.55,0.57,Vaccination,14314.0,No,79.21,4622.0,1.27,40095.0,0.71,81.29 +10256,Canada,2018,Malaria,Parasitic,6.54,8.12,5.53,36-60,Male,226098,89.6,4.04,6.12,Therapy,32530.0,Yes,94.61,2130.0,7.3,71193.0,0.78,82.52 +10262,France,2020,Cancer,Viral,8.41,5.93,5.92,36-60,Male,487418,97.94,0.75,6.64,Therapy,41181.0,Yes,82.69,2138.0,7.19,1722.0,0.73,63.22 +10266,Indonesia,2015,Dengue,Viral,9.27,1.57,9.22,0-18,Female,324789,87.51,0.51,2.09,Medication,19842.0,No,97.16,2283.0,0.52,61102.0,0.81,41.72 +10274,South Korea,2009,Cholera,Cardiovascular,18.22,12.54,4.41,61+,Other,411229,81.13,4.96,4.63,Vaccination,48472.0,Yes,83.14,4262.0,8.8,43767.0,0.52,51.59 +10294,Russia,2007,Parkinson's Disease,Parasitic,1.42,5.48,9.32,19-35,Female,572663,93.62,0.91,1.27,Surgery,5951.0,No,55.91,4359.0,7.72,18043.0,0.5,70.63 +10301,South Korea,2004,Measles,Cardiovascular,10.16,12.89,8.06,0-18,Other,663226,82.44,1.67,7.97,Vaccination,15198.0,No,94.63,4796.0,9.07,95593.0,0.5,87.97 +10318,Turkey,2020,Cancer,Bacterial,6.64,13.27,9.05,19-35,Female,544252,81.82,3.43,3.91,Vaccination,33973.0,No,95.65,1047.0,2.55,73979.0,0.6,59.98 +10320,Argentina,2019,Diabetes,Respiratory,19.8,4.75,6.28,36-60,Other,375361,91.87,1.96,6.09,Surgery,24947.0,Yes,92.73,575.0,6.06,40788.0,0.45,51.81 +10321,Saudi Arabia,2013,Influenza,Genetic,2.82,13.2,1.41,61+,Male,830722,74.68,2.76,4.5,Therapy,40907.0,No,89.63,3840.0,1.14,10305.0,0.5,59.25 +10329,South Africa,2004,Alzheimer's Disease,Genetic,7.75,12.71,0.36,0-18,Female,421816,89.34,1.11,3.61,Medication,25375.0,No,84.32,4129.0,3.38,3678.0,0.61,29.67 +10330,Canada,2000,Hypertension,Neurological,11.59,12.58,1.12,36-60,Other,684277,56.91,0.67,1.55,Vaccination,45545.0,No,88.35,4679.0,7.33,68732.0,0.74,28.04 +10335,China,2016,Cancer,Infectious,4.95,9.46,0.67,19-35,Other,723687,99.67,4.75,1.22,Therapy,2393.0,Yes,55.54,3546.0,4.2,23516.0,0.57,27.08 +10338,Mexico,2000,Dengue,Genetic,17.6,14.85,8.97,0-18,Other,201537,67.44,3.97,6.26,Vaccination,29198.0,Yes,85.6,225.0,3.71,92059.0,0.82,84.57 +10342,Australia,2000,Parkinson's Disease,Parasitic,16.96,5.13,3.31,61+,Other,662305,80.05,2.02,4.22,Medication,45254.0,No,66.62,1782.0,0.92,12286.0,0.76,87.38 +10344,Nigeria,2005,Cancer,Genetic,17.56,10.0,0.97,0-18,Other,382164,53.22,1.46,4.85,Surgery,8145.0,No,53.84,3525.0,0.17,52294.0,0.74,20.77 +10345,Indonesia,2020,Hypertension,Autoimmune,12.53,4.51,4.29,19-35,Female,922718,87.86,0.98,5.39,Medication,19809.0,No,88.45,4166.0,2.21,67358.0,0.82,60.31 +10352,Italy,2022,Cancer,Cardiovascular,15.61,6.22,8.25,36-60,Female,707593,50.97,1.95,6.12,Vaccination,37589.0,No,87.79,4105.0,4.24,67841.0,0.47,25.71 +10354,Germany,2009,Dengue,Cardiovascular,18.39,13.44,3.21,0-18,Female,280114,72.89,2.65,4.01,Medication,31193.0,Yes,79.79,1169.0,8.76,85669.0,0.47,26.08 +10355,UK,2020,Measles,Infectious,15.16,12.23,6.27,36-60,Other,851069,71.23,1.93,1.0,Medication,6072.0,Yes,67.91,4129.0,7.82,82606.0,0.46,63.74 +10358,Russia,2023,Rabies,Genetic,2.25,8.43,5.48,61+,Male,396172,96.37,2.46,6.95,Vaccination,48792.0,Yes,88.12,3998.0,0.22,77159.0,0.73,54.38 +10372,India,2013,Malaria,Infectious,2.3,6.35,4.58,19-35,Male,270451,90.14,2.25,0.7,Vaccination,38929.0,Yes,87.08,1.0,4.27,28580.0,0.42,81.86 +10373,Canada,2015,Measles,Bacterial,15.45,14.65,3.54,36-60,Other,392178,96.04,3.45,4.38,Surgery,14155.0,No,90.84,4343.0,3.43,44461.0,0.57,73.29 +10381,Saudi Arabia,2015,Alzheimer's Disease,Infectious,18.34,1.39,6.57,0-18,Female,827707,84.02,1.89,7.0,Surgery,22249.0,No,85.08,528.0,0.19,4917.0,0.68,46.28 +10388,Indonesia,2012,Zika,Metabolic,2.45,3.65,2.73,19-35,Male,908430,72.76,1.48,5.97,Surgery,8090.0,No,97.65,3258.0,6.09,60099.0,0.77,48.99 +10389,UK,2020,Asthma,Bacterial,8.92,10.28,8.1,0-18,Female,138852,63.91,0.88,3.9,Therapy,19944.0,Yes,86.6,604.0,8.54,90100.0,0.71,49.04 +10393,Italy,2004,Hypertension,Metabolic,12.54,3.88,5.93,61+,Male,538353,94.37,1.27,9.56,Medication,17075.0,Yes,71.87,1606.0,1.13,72702.0,0.77,36.18 +10406,India,2019,Hypertension,Viral,18.88,8.16,7.65,0-18,Other,849340,78.91,2.47,6.17,Therapy,19808.0,No,68.65,1085.0,4.61,94656.0,0.55,70.52 +10408,Canada,2009,Malaria,Chronic,16.31,5.35,5.35,61+,Male,79497,59.31,3.79,5.23,Therapy,18728.0,Yes,52.58,4059.0,3.01,9468.0,0.49,81.48 +10409,Germany,2016,Rabies,Bacterial,5.12,7.41,3.79,36-60,Female,126239,72.05,3.91,8.2,Therapy,37967.0,Yes,68.08,4238.0,5.08,93028.0,0.65,53.05 +10418,Russia,2010,Asthma,Infectious,11.18,3.29,7.62,36-60,Female,257041,66.02,0.6,2.82,Surgery,4319.0,Yes,89.81,2996.0,5.5,24212.0,0.52,89.97 +10419,USA,2009,Leprosy,Autoimmune,12.66,11.62,1.77,19-35,Other,344643,60.78,0.88,4.15,Surgery,6659.0,Yes,75.87,883.0,6.77,20325.0,0.65,65.05 +10422,India,2021,Malaria,Viral,16.03,8.61,2.86,36-60,Other,596444,65.11,4.87,3.03,Surgery,19833.0,No,79.46,4648.0,4.03,6922.0,0.81,25.49 +10432,India,2015,COVID-19,Genetic,14.6,5.23,7.21,19-35,Male,996752,73.14,1.11,5.09,Medication,38431.0,No,74.84,2087.0,6.69,64316.0,0.77,40.49 +10433,Russia,2004,Measles,Cardiovascular,16.26,10.22,4.31,0-18,Female,585726,69.79,3.85,5.56,Therapy,1998.0,No,94.1,4550.0,9.1,1975.0,0.83,68.97 +10441,Australia,2014,Measles,Genetic,16.98,6.57,6.51,36-60,Male,251671,79.02,3.12,0.95,Medication,7937.0,Yes,86.32,3394.0,9.99,13111.0,0.75,86.64 +10451,Canada,2009,Alzheimer's Disease,Metabolic,3.71,8.73,7.37,0-18,Male,352955,69.35,4.54,7.7,Therapy,46112.0,Yes,51.98,4013.0,6.75,47551.0,0.88,50.96 +10454,Saudi Arabia,2000,Cholera,Genetic,13.76,11.79,1.08,19-35,Male,567263,55.86,3.8,0.6,Surgery,863.0,Yes,93.0,548.0,7.44,7400.0,0.65,82.99 +10458,India,2005,Malaria,Parasitic,10.23,5.19,3.86,61+,Other,298560,71.75,1.46,7.45,Therapy,1237.0,No,92.8,3694.0,8.19,94227.0,0.55,38.68 +10461,Mexico,2002,Measles,Viral,17.68,8.75,2.25,0-18,Male,343711,68.93,2.04,8.01,Medication,237.0,No,63.22,4573.0,3.09,84583.0,0.71,24.83 +10465,Germany,2013,Polio,Parasitic,19.23,14.2,6.79,61+,Other,822186,66.54,2.55,3.88,Medication,48054.0,No,53.67,2492.0,4.97,44880.0,0.56,81.16 +10466,USA,2008,Tuberculosis,Genetic,2.14,10.41,0.41,0-18,Male,803713,78.02,0.67,3.49,Therapy,47937.0,No,52.32,4474.0,6.81,38247.0,0.62,75.79 +10474,Turkey,2014,Malaria,Neurological,0.8,9.69,4.26,0-18,Male,763658,76.66,4.74,4.31,Therapy,2178.0,No,86.05,1110.0,9.8,35015.0,0.66,34.78 +10476,Russia,2022,Hepatitis,Viral,18.52,11.57,0.67,0-18,Male,71990,65.27,0.52,8.85,Surgery,48407.0,No,86.66,2149.0,3.35,68264.0,0.88,51.77 +10485,South Africa,2023,Hepatitis,Respiratory,0.5,1.67,2.0,36-60,Male,933361,75.61,4.42,3.62,Surgery,16300.0,Yes,82.21,4639.0,9.06,82003.0,0.9,35.88 +10502,USA,2017,Hypertension,Cardiovascular,16.13,8.32,6.89,0-18,Female,370495,82.2,2.46,0.73,Vaccination,44773.0,Yes,56.92,2081.0,2.99,9384.0,0.82,29.15 +10504,Argentina,2004,Parkinson's Disease,Infectious,10.27,10.03,5.41,0-18,Other,832245,84.69,4.06,1.42,Medication,8072.0,Yes,55.1,602.0,8.25,99678.0,0.6,68.43 +10506,UK,2018,Polio,Respiratory,8.69,7.69,9.93,36-60,Male,229864,50.5,1.32,2.38,Medication,28474.0,Yes,75.5,94.0,3.89,12481.0,0.41,67.16 +10513,Nigeria,2020,Cholera,Bacterial,15.82,9.2,6.4,0-18,Female,832047,95.85,4.47,5.74,Surgery,31688.0,No,67.22,3717.0,3.1,7984.0,0.64,87.73 +10520,UK,2004,Asthma,Respiratory,17.76,3.59,3.0,61+,Female,887495,87.35,4.38,9.72,Vaccination,18543.0,No,57.22,1628.0,8.44,22350.0,0.54,52.86 +10523,Turkey,2018,Hepatitis,Cardiovascular,2.8,14.98,0.89,0-18,Male,868536,63.06,2.49,4.24,Therapy,38007.0,No,79.84,3759.0,3.44,89647.0,0.79,70.85 +10526,Mexico,2004,Hepatitis,Metabolic,2.29,9.58,0.95,19-35,Male,268988,96.37,3.66,6.2,Therapy,30066.0,Yes,88.37,3197.0,5.27,16774.0,0.72,70.64 +10527,South Africa,2008,Hypertension,Chronic,9.64,13.11,9.17,19-35,Other,903465,98.43,3.87,7.44,Therapy,39370.0,No,81.17,3048.0,0.29,4703.0,0.89,26.78 +10532,Brazil,2007,Asthma,Genetic,18.35,3.78,9.64,19-35,Other,623583,68.09,2.09,3.87,Therapy,32275.0,No,62.72,2256.0,8.32,45348.0,0.67,68.79 +10534,South Korea,2022,Hypertension,Cardiovascular,0.7,5.77,5.36,19-35,Other,186429,92.06,0.91,5.55,Vaccination,49533.0,No,86.97,4477.0,3.81,75207.0,0.46,78.99 +10536,Mexico,2023,HIV/AIDS,Metabolic,12.67,3.8,4.14,19-35,Female,583254,77.71,0.63,2.29,Surgery,21363.0,Yes,81.69,3567.0,9.12,28419.0,0.9,40.25 +10548,Mexico,2015,Cholera,Viral,13.31,14.22,6.62,19-35,Other,677003,95.14,2.44,7.27,Surgery,39215.0,No,58.17,1633.0,3.95,59410.0,0.46,53.53 +10551,Indonesia,2017,Hepatitis,Parasitic,14.96,2.82,1.06,36-60,Female,621660,96.73,1.29,6.21,Vaccination,7397.0,Yes,62.44,2764.0,8.87,57291.0,0.65,26.09 +10555,Canada,2016,Cholera,Respiratory,15.53,7.29,3.57,36-60,Male,609417,68.6,3.34,8.31,Surgery,40769.0,Yes,60.11,2095.0,7.58,60845.0,0.63,34.56 +10557,Turkey,2013,Polio,Bacterial,5.53,9.74,9.45,36-60,Male,701318,71.34,4.74,3.59,Therapy,34127.0,Yes,86.92,1175.0,7.72,29388.0,0.81,31.66 +10560,USA,2023,COVID-19,Neurological,3.91,9.0,2.47,19-35,Male,243166,77.01,4.08,3.35,Surgery,14902.0,Yes,52.32,1020.0,4.8,87353.0,0.81,27.57 +10563,India,2015,Rabies,Cardiovascular,16.77,8.0,6.2,0-18,Female,346098,99.65,1.18,8.48,Surgery,396.0,No,52.18,1768.0,3.83,45234.0,0.69,49.28 +10565,France,2010,Parkinson's Disease,Infectious,17.16,13.6,9.0,61+,Female,97020,52.86,0.64,3.29,Surgery,14750.0,No,86.21,11.0,9.99,81375.0,0.41,75.58 +10568,France,2017,Cholera,Cardiovascular,17.27,9.28,1.59,36-60,Male,555629,58.3,1.7,1.45,Vaccination,46166.0,No,82.34,4869.0,8.24,65685.0,0.89,49.87 +10575,India,2010,Polio,Respiratory,13.46,1.77,0.22,0-18,Other,64318,59.33,2.08,5.61,Therapy,26730.0,Yes,88.5,711.0,1.43,92064.0,0.66,81.47 +10578,Saudi Arabia,2011,Parkinson's Disease,Infectious,19.0,2.82,8.14,0-18,Male,548463,68.43,2.05,6.25,Vaccination,38971.0,No,75.33,4806.0,5.45,33121.0,0.52,21.17 +10581,Brazil,2006,Malaria,Infectious,13.43,1.98,7.78,0-18,Female,931223,83.3,4.21,5.01,Medication,45755.0,No,82.03,3887.0,4.39,40027.0,0.84,54.94 +10591,France,2020,Cholera,Chronic,3.61,5.6,8.0,61+,Male,564807,94.44,4.99,4.95,Surgery,1863.0,Yes,79.39,540.0,4.22,74144.0,0.85,40.22 +10593,Turkey,2024,Parkinson's Disease,Neurological,2.33,13.2,6.7,0-18,Male,175280,99.41,1.19,7.64,Medication,28161.0,No,82.92,3018.0,0.56,71964.0,0.89,30.22 +10594,Japan,2017,Leprosy,Neurological,10.88,10.84,3.8,19-35,Male,352132,94.54,4.02,8.12,Therapy,22955.0,Yes,89.27,4467.0,6.41,43443.0,0.71,42.4 +10601,Argentina,2014,Asthma,Bacterial,2.66,14.79,0.26,61+,Female,960425,65.69,2.76,6.6,Vaccination,29052.0,Yes,84.5,1097.0,0.54,3552.0,0.83,64.43 +10602,Russia,2003,Influenza,Chronic,14.99,3.54,4.01,19-35,Other,695964,80.5,2.08,9.42,Therapy,28662.0,No,96.46,1880.0,3.12,1372.0,0.49,25.29 +10606,Russia,2018,Ebola,Bacterial,11.96,14.65,2.87,61+,Other,4723,55.02,2.74,6.32,Therapy,36831.0,Yes,83.48,1001.0,1.78,15527.0,0.76,52.23 +10607,Saudi Arabia,2011,Influenza,Genetic,16.65,4.16,7.14,19-35,Other,386112,95.7,2.1,9.59,Therapy,32131.0,Yes,56.53,2627.0,1.44,40699.0,0.43,79.73 +10611,Nigeria,2008,Polio,Viral,7.23,9.94,8.74,19-35,Male,211389,88.45,3.14,5.62,Medication,14298.0,Yes,70.47,2000.0,9.08,62873.0,0.43,78.6 +10615,UK,2019,Diabetes,Genetic,16.07,13.88,9.66,61+,Other,68720,88.97,4.43,4.08,Medication,32957.0,No,85.99,3665.0,9.26,83258.0,0.48,60.49 +10621,Canada,2016,Tuberculosis,Respiratory,15.07,4.47,2.36,19-35,Female,550385,95.91,2.09,5.2,Therapy,23061.0,No,83.4,3357.0,8.18,92942.0,0.82,50.22 +10633,Japan,2021,Influenza,Chronic,16.29,3.21,5.55,36-60,Female,45248,59.72,4.74,1.02,Therapy,49666.0,Yes,89.06,2379.0,9.57,71538.0,0.58,53.06 +10634,Saudi Arabia,2000,Leprosy,Viral,2.66,6.69,7.01,0-18,Female,894657,98.27,3.33,9.33,Surgery,33002.0,No,69.3,1383.0,5.99,88342.0,0.9,45.07 +10642,Nigeria,2013,Measles,Viral,13.52,0.6,7.11,0-18,Female,664747,51.06,2.37,7.79,Medication,13069.0,No,94.04,4961.0,4.98,20764.0,0.66,20.65 +10647,Australia,2005,Asthma,Bacterial,0.9,13.15,9.86,61+,Male,58587,79.73,3.74,9.28,Surgery,43194.0,No,53.0,1225.0,0.41,45007.0,0.51,64.8 +10648,USA,2013,Parkinson's Disease,Genetic,16.78,13.86,8.82,61+,Other,81371,65.8,1.09,1.11,Vaccination,21181.0,No,75.87,4673.0,2.13,51595.0,0.64,46.5 +10649,China,2018,Zika,Chronic,8.97,13.38,5.57,19-35,Male,42124,95.6,0.89,2.78,Vaccination,17103.0,Yes,67.32,3108.0,7.24,3212.0,0.89,21.73 +10652,Nigeria,2012,Polio,Metabolic,5.67,10.59,1.44,0-18,Female,434521,92.51,4.47,5.07,Vaccination,44655.0,Yes,97.66,4025.0,9.33,63092.0,0.49,70.07 +10654,Brazil,2018,Zika,Chronic,10.79,8.95,9.8,0-18,Male,278448,85.1,3.14,1.27,Surgery,4779.0,No,77.35,1577.0,8.38,43953.0,0.65,76.29 +10655,India,2005,Polio,Viral,8.61,9.55,9.47,19-35,Male,607122,86.7,3.04,0.59,Therapy,9236.0,Yes,50.9,3873.0,8.13,21396.0,0.61,80.85 +10658,Argentina,2003,Hypertension,Genetic,6.37,14.49,9.71,0-18,Male,940453,71.97,4.21,1.79,Vaccination,9940.0,No,83.04,4883.0,4.61,93116.0,0.41,70.3 +10660,Brazil,2009,Influenza,Chronic,5.88,7.9,7.54,36-60,Female,758488,70.34,4.12,1.24,Vaccination,23308.0,No,65.0,810.0,5.86,65120.0,0.77,37.7 +10668,South Africa,2010,Alzheimer's Disease,Cardiovascular,16.83,12.99,1.71,0-18,Male,311351,90.77,2.98,1.87,Surgery,29209.0,Yes,90.13,1098.0,5.75,3996.0,0.71,48.82 +10677,Russia,2004,Tuberculosis,Bacterial,12.88,7.19,2.36,0-18,Male,438007,65.11,2.36,9.73,Medication,29465.0,No,65.62,3449.0,8.5,60895.0,0.42,21.25 +10681,Nigeria,2012,Cholera,Chronic,1.8,14.38,6.84,0-18,Female,122637,59.54,3.25,7.93,Medication,24081.0,Yes,88.63,1513.0,1.17,41630.0,0.74,83.5 +10693,China,2003,Leprosy,Viral,5.97,7.7,6.44,19-35,Male,400338,95.3,4.5,6.79,Therapy,45350.0,No,80.04,3010.0,4.46,96808.0,0.71,87.74 +10696,Argentina,2023,Tuberculosis,Bacterial,13.15,11.23,9.49,19-35,Other,319211,81.25,0.58,7.9,Medication,28382.0,Yes,83.12,4268.0,8.35,9148.0,0.46,21.94 +10697,France,2003,Hepatitis,Viral,13.75,3.12,7.58,61+,Female,963871,88.06,1.3,1.44,Therapy,18963.0,Yes,50.34,1186.0,7.49,8374.0,0.46,35.14 +10703,Saudi Arabia,2017,Malaria,Parasitic,13.66,8.23,0.94,61+,Female,574446,50.42,1.09,5.61,Therapy,34077.0,No,90.81,100.0,9.92,68686.0,0.59,38.85 +10706,Australia,2020,COVID-19,Neurological,12.09,6.44,7.96,19-35,Other,670359,66.31,0.73,7.14,Vaccination,48382.0,No,64.71,4232.0,8.15,96682.0,0.47,45.71 +10709,Mexico,2008,Measles,Bacterial,5.42,11.32,3.75,61+,Male,319544,61.5,2.74,4.22,Therapy,26844.0,Yes,72.29,2182.0,7.74,18513.0,0.42,45.13 +10712,Germany,2005,Polio,Bacterial,10.96,13.5,1.92,0-18,Male,784785,63.53,2.58,3.81,Surgery,3405.0,Yes,54.86,3561.0,6.61,49131.0,0.74,57.68 +10720,France,2012,Influenza,Neurological,19.78,5.66,2.85,61+,Female,790163,55.41,4.97,3.99,Vaccination,19027.0,No,54.84,4777.0,8.93,19491.0,0.63,84.92 +10724,South Africa,2005,Parkinson's Disease,Cardiovascular,1.69,3.51,2.62,19-35,Male,884692,90.24,3.77,8.4,Vaccination,39041.0,Yes,74.66,1311.0,2.15,97791.0,0.8,43.23 +10738,Mexico,2004,Measles,Autoimmune,13.88,3.65,3.05,61+,Other,215185,73.31,4.54,3.47,Vaccination,37323.0,Yes,57.8,1490.0,3.81,50470.0,0.63,47.24 +10742,South Africa,2020,Dengue,Viral,12.36,3.92,0.88,0-18,Female,991924,81.62,3.04,5.82,Vaccination,5549.0,No,69.02,4555.0,4.77,95380.0,0.84,37.28 +10743,Italy,2011,Zika,Metabolic,5.36,3.13,6.77,19-35,Female,86952,88.95,0.6,5.17,Therapy,3400.0,No,79.05,1733.0,1.1,67390.0,0.73,50.55 +10747,India,2005,Tuberculosis,Cardiovascular,16.32,3.43,5.99,0-18,Male,384467,82.44,2.86,5.01,Surgery,15172.0,No,78.47,2635.0,3.44,59372.0,0.51,49.65 +10748,Germany,2018,Malaria,Viral,6.74,12.97,3.66,36-60,Female,733578,65.74,1.54,5.74,Vaccination,42731.0,Yes,87.71,2927.0,2.35,27815.0,0.68,47.31 +10755,Turkey,2012,Rabies,Cardiovascular,3.88,6.52,9.48,0-18,Other,457943,71.0,0.51,8.47,Vaccination,36702.0,Yes,59.49,4664.0,4.29,73387.0,0.4,31.57 +10758,Brazil,2000,Leprosy,Infectious,18.55,4.82,8.4,0-18,Other,57958,64.55,1.44,1.12,Surgery,24469.0,Yes,56.22,1841.0,5.04,29613.0,0.52,60.69 +10759,India,2006,Zika,Genetic,2.26,6.82,5.66,61+,Other,253196,59.99,0.74,5.12,Vaccination,17816.0,No,67.86,1655.0,1.82,79015.0,0.47,69.11 +10760,Italy,2015,Influenza,Neurological,8.52,10.74,1.24,36-60,Female,663041,50.1,1.1,1.53,Therapy,21538.0,Yes,80.99,1465.0,8.11,52079.0,0.74,33.42 +10761,South Africa,2023,Dengue,Cardiovascular,5.74,11.58,1.1,61+,Other,362046,54.82,1.06,9.68,Therapy,47758.0,No,71.94,2299.0,8.35,61501.0,0.77,87.2 +10769,Italy,2005,Alzheimer's Disease,Chronic,13.4,0.34,6.23,36-60,Other,200989,71.89,4.59,2.79,Therapy,28291.0,Yes,89.54,2594.0,7.31,90469.0,0.87,27.97 +10771,India,2023,Alzheimer's Disease,Bacterial,6.83,1.37,6.85,36-60,Other,548139,72.22,3.03,4.42,Surgery,39890.0,Yes,79.46,4606.0,3.94,30662.0,0.55,45.92 +10775,USA,2019,Rabies,Chronic,19.47,7.35,9.05,36-60,Other,38273,99.91,1.83,3.08,Surgery,1810.0,Yes,72.85,3623.0,9.37,44984.0,0.45,60.68 +10776,Italy,2006,Malaria,Genetic,11.65,11.27,5.65,19-35,Other,659239,95.87,2.68,2.1,Medication,4365.0,Yes,94.46,1313.0,9.72,64385.0,0.62,50.36 +10778,Nigeria,2018,COVID-19,Parasitic,6.77,8.19,1.09,61+,Female,660860,78.26,0.53,5.51,Medication,33140.0,Yes,58.92,3322.0,5.71,26087.0,0.63,62.93 +10779,India,2015,Hepatitis,Infectious,10.27,9.12,5.18,19-35,Male,186763,73.51,1.67,1.56,Vaccination,28102.0,Yes,93.81,1892.0,0.87,23193.0,0.88,50.69 +10781,Australia,2006,Rabies,Chronic,12.88,8.26,8.07,61+,Other,955985,93.56,3.66,8.31,Vaccination,5828.0,No,79.08,2167.0,0.65,83480.0,0.74,21.69 +10783,Saudi Arabia,2007,Dengue,Infectious,7.49,0.34,9.42,61+,Male,797139,65.07,2.65,8.11,Therapy,18804.0,Yes,73.86,2726.0,5.61,93466.0,0.49,55.06 +10785,France,2003,Parkinson's Disease,Cardiovascular,16.78,4.51,3.68,61+,Female,538126,70.79,2.97,1.62,Surgery,28385.0,No,71.75,2571.0,8.18,74646.0,0.89,28.99 +10788,Brazil,2013,Measles,Respiratory,17.22,7.48,3.59,0-18,Male,502953,52.45,1.75,6.3,Medication,34627.0,Yes,78.25,3980.0,5.13,67881.0,0.64,77.63 +10810,Russia,2020,Alzheimer's Disease,Cardiovascular,5.08,12.61,7.4,0-18,Male,131600,65.33,4.17,7.41,Vaccination,17152.0,No,53.34,1594.0,6.73,85292.0,0.77,83.32 +10816,Canada,2001,Hepatitis,Bacterial,5.82,4.24,6.9,19-35,Female,588127,59.85,3.52,5.88,Vaccination,17335.0,Yes,70.44,1389.0,5.0,82216.0,0.51,35.82 +10825,Nigeria,2021,Polio,Chronic,8.75,5.32,0.21,61+,Female,597389,77.79,4.57,9.39,Vaccination,49053.0,Yes,77.64,4813.0,4.8,36758.0,0.77,62.99 +10828,USA,2001,Ebola,Infectious,2.54,14.75,9.39,19-35,Other,355797,73.18,3.74,7.57,Vaccination,3165.0,No,79.27,4032.0,6.36,71439.0,0.51,70.55 +10833,Italy,2012,Zika,Chronic,13.19,2.43,5.07,36-60,Male,816167,60.79,2.58,4.19,Therapy,33734.0,No,85.53,257.0,0.32,58219.0,0.48,20.15 +10834,South Africa,2003,Hepatitis,Genetic,9.87,14.78,6.47,0-18,Female,391491,64.32,2.86,3.29,Therapy,41225.0,Yes,79.5,1123.0,6.56,46698.0,0.84,75.13 +10836,South Korea,2015,Rabies,Metabolic,0.65,3.16,1.04,0-18,Female,11945,93.9,3.05,5.4,Surgery,49023.0,Yes,66.63,525.0,6.78,97715.0,0.41,47.31 +10841,France,2009,Malaria,Respiratory,5.96,5.92,2.77,19-35,Male,585861,83.87,3.77,7.51,Surgery,7755.0,No,93.38,3620.0,9.05,7963.0,0.69,46.1 +10844,UK,2024,Rabies,Genetic,13.57,1.59,5.82,36-60,Female,649390,88.41,1.9,3.45,Therapy,30782.0,Yes,85.34,2814.0,7.85,14465.0,0.79,23.2 +10847,Turkey,2016,Parkinson's Disease,Metabolic,3.55,8.01,3.33,61+,Female,419313,55.6,2.33,0.99,Therapy,11779.0,No,52.47,1073.0,9.82,78025.0,0.76,66.93 +10856,Turkey,2002,Malaria,Infectious,14.84,1.36,3.45,19-35,Male,122448,66.04,4.52,4.33,Vaccination,17973.0,No,73.51,1363.0,1.99,40498.0,0.48,35.2 +10858,South Africa,2012,Dengue,Cardiovascular,19.43,12.01,5.49,0-18,Female,193967,77.75,3.46,6.91,Therapy,15760.0,No,96.87,3522.0,6.52,45973.0,0.63,71.2 +10860,Italy,2017,Polio,Respiratory,8.22,14.12,2.49,19-35,Female,172554,69.54,3.07,5.01,Surgery,6051.0,Yes,77.06,452.0,3.47,15047.0,0.79,51.81 +10874,USA,2020,Parkinson's Disease,Viral,9.38,5.39,1.83,36-60,Other,249513,60.37,3.79,7.28,Medication,20141.0,No,87.26,1707.0,3.03,45923.0,0.43,56.7 +10885,Russia,2009,COVID-19,Parasitic,10.38,5.33,5.41,61+,Female,673934,93.66,0.57,3.8,Surgery,45371.0,Yes,93.27,1457.0,9.37,74863.0,0.77,27.36 +10898,Indonesia,2003,Parkinson's Disease,Cardiovascular,2.35,11.87,3.12,0-18,Male,797717,63.26,3.52,5.9,Medication,29102.0,Yes,54.0,607.0,8.82,88111.0,0.88,89.25 +10906,India,2017,Cholera,Autoimmune,11.76,5.31,1.7,61+,Female,464173,78.77,3.37,1.92,Therapy,10917.0,No,51.63,2447.0,4.43,65533.0,0.41,41.31 +10908,Canada,2000,Leprosy,Autoimmune,4.02,2.93,7.05,19-35,Other,353202,70.79,2.51,5.04,Surgery,16089.0,No,92.04,2903.0,6.35,63747.0,0.81,29.86 +10913,Canada,2022,Cancer,Cardiovascular,19.12,4.74,5.76,36-60,Female,193894,52.11,4.08,2.93,Therapy,9376.0,No,54.52,1432.0,6.38,66254.0,0.54,31.0 +10927,Mexico,2024,Diabetes,Viral,4.66,1.9,9.49,36-60,Male,228804,80.65,2.08,5.32,Surgery,49220.0,Yes,55.66,468.0,2.52,19772.0,0.55,25.44 +10930,Mexico,2005,Polio,Cardiovascular,9.95,13.91,3.92,19-35,Female,745002,89.78,4.84,9.52,Medication,46748.0,No,64.42,3635.0,9.73,70894.0,0.57,65.86 +10941,South Africa,2009,Hepatitis,Autoimmune,14.22,10.68,2.74,61+,Male,501979,63.85,2.97,6.45,Medication,16254.0,No,77.76,4251.0,9.85,1957.0,0.76,72.24 +10944,Saudi Arabia,2019,Hepatitis,Genetic,16.65,7.76,4.22,0-18,Male,586185,87.27,2.83,6.53,Surgery,23221.0,No,73.43,4514.0,5.99,81187.0,0.54,56.16 +10947,Brazil,2019,Hepatitis,Metabolic,18.38,11.34,7.89,61+,Female,380791,50.83,2.13,2.07,Therapy,3998.0,Yes,96.4,3714.0,8.72,6062.0,0.44,53.42 +10950,Germany,2022,Polio,Parasitic,17.87,5.96,8.23,19-35,Other,251304,52.46,2.35,3.9,Vaccination,19135.0,Yes,98.49,2721.0,6.18,17285.0,0.7,32.27 +10953,Brazil,2005,Asthma,Chronic,1.9,1.53,8.63,61+,Other,712814,60.66,0.62,0.89,Surgery,42259.0,Yes,96.03,203.0,7.22,58567.0,0.83,88.99 +10954,USA,2000,Tuberculosis,Viral,19.37,10.02,1.0,0-18,Male,767781,94.6,1.89,6.31,Surgery,23524.0,No,71.31,646.0,4.72,68649.0,0.84,37.33 +10956,Russia,2009,Hepatitis,Cardiovascular,12.93,8.05,9.02,19-35,Other,960176,58.93,0.63,1.29,Vaccination,44423.0,No,71.57,4483.0,1.52,96276.0,0.44,26.92 +10964,Russia,2020,Cholera,Viral,10.67,5.12,1.88,19-35,Other,889654,98.08,4.25,0.5,Therapy,15450.0,No,85.82,4510.0,6.04,48900.0,0.71,65.59 +10965,Mexico,2018,Diabetes,Respiratory,18.82,9.07,1.66,19-35,Female,937579,96.44,0.69,6.28,Vaccination,38275.0,Yes,94.11,2666.0,5.3,93050.0,0.6,24.23 +10966,Japan,2002,Zika,Infectious,17.88,14.44,0.45,61+,Other,274977,61.92,4.63,6.9,Vaccination,29951.0,No,71.43,3884.0,2.52,32793.0,0.72,48.51 +10967,Australia,2012,Asthma,Neurological,11.18,12.32,6.47,61+,Female,376907,50.62,4.05,3.47,Surgery,39821.0,No,71.9,599.0,7.21,20923.0,0.57,88.25 +10979,Indonesia,2013,Hepatitis,Neurological,9.09,13.64,1.76,0-18,Male,199198,99.29,0.89,0.62,Vaccination,9189.0,No,92.9,752.0,6.12,11674.0,0.6,73.23 +10981,USA,2023,HIV/AIDS,Respiratory,1.68,5.67,2.55,0-18,Other,860736,79.3,4.96,6.08,Surgery,23546.0,Yes,88.63,4460.0,7.83,8284.0,0.78,48.75 +10982,Brazil,2002,COVID-19,Metabolic,18.44,9.86,6.57,19-35,Male,537621,68.31,2.86,9.25,Surgery,41284.0,Yes,89.07,1770.0,0.28,36487.0,0.48,25.19 +10986,USA,2009,Tuberculosis,Neurological,2.26,8.23,3.21,0-18,Male,436296,80.85,0.72,9.55,Vaccination,22978.0,Yes,82.78,3612.0,6.04,8703.0,0.58,43.43 +10988,Germany,2005,Influenza,Respiratory,8.66,9.63,1.31,36-60,Female,733184,80.5,3.62,3.98,Therapy,29011.0,No,58.75,1682.0,0.35,22597.0,0.48,35.12 +10993,India,2013,Polio,Respiratory,12.38,4.24,0.94,19-35,Male,840067,54.27,3.38,6.98,Vaccination,8233.0,No,58.48,1344.0,2.02,64470.0,0.56,38.33 +10995,India,2016,Malaria,Cardiovascular,3.91,0.45,0.93,19-35,Other,322942,67.86,4.4,6.73,Vaccination,32383.0,Yes,63.41,4475.0,5.91,14641.0,0.43,75.22 +11007,Germany,2001,Rabies,Bacterial,5.55,11.93,5.08,0-18,Female,653803,57.57,4.76,1.48,Medication,26750.0,No,85.29,4311.0,4.83,24490.0,0.49,63.3 +11010,China,2016,Parkinson's Disease,Respiratory,11.24,7.72,2.55,61+,Female,953314,75.83,2.28,4.29,Surgery,34604.0,No,87.15,2866.0,0.52,68919.0,0.64,22.91 +11015,Japan,2023,Zika,Metabolic,10.0,8.82,2.99,36-60,Male,116975,87.54,1.25,9.35,Surgery,1090.0,No,74.41,2560.0,6.11,87140.0,0.57,36.78 +11016,France,2022,Dengue,Respiratory,10.84,3.44,9.23,0-18,Male,990436,85.85,0.83,3.17,Surgery,5589.0,No,78.15,3603.0,9.87,95610.0,0.74,35.82 +11017,South Korea,2024,Dengue,Respiratory,10.59,11.21,5.97,0-18,Female,5093,70.88,1.04,2.34,Vaccination,28376.0,No,71.82,4017.0,4.09,31858.0,0.44,57.86 +11023,Russia,2017,Asthma,Genetic,4.62,8.71,9.08,36-60,Female,26593,97.09,1.69,9.16,Medication,253.0,Yes,96.11,2096.0,8.04,15666.0,0.52,62.37 +11027,India,2003,Leprosy,Genetic,16.25,8.38,9.19,61+,Other,86758,97.25,4.72,5.71,Surgery,43224.0,Yes,77.05,2447.0,6.52,49723.0,0.58,36.13 +11028,Japan,2021,Malaria,Infectious,5.99,12.16,0.61,36-60,Female,728683,56.58,4.73,4.83,Therapy,25637.0,No,81.4,4999.0,9.45,43530.0,0.54,55.46 +11030,India,2008,Hepatitis,Genetic,12.99,6.6,3.05,36-60,Other,672769,70.49,3.44,1.89,Medication,23086.0,No,70.82,931.0,7.88,57196.0,0.74,85.93 +11035,South Korea,2009,Rabies,Viral,14.01,0.93,4.54,0-18,Other,608076,95.29,4.83,1.99,Therapy,23194.0,No,64.46,1064.0,5.73,3238.0,0.45,51.76 +11041,USA,2022,HIV/AIDS,Viral,10.59,3.92,5.32,19-35,Female,939763,91.68,2.17,5.79,Therapy,45474.0,Yes,94.31,3838.0,1.28,28989.0,0.47,30.23 +11043,UK,2012,COVID-19,Autoimmune,19.28,10.74,0.3,36-60,Male,659279,51.71,2.13,2.54,Surgery,47914.0,Yes,97.17,4901.0,0.27,45178.0,0.47,78.3 +11045,France,2011,Hypertension,Autoimmune,19.98,3.34,8.87,0-18,Male,167467,73.89,1.84,9.76,Therapy,45370.0,No,51.29,3661.0,3.23,44494.0,0.76,25.26 +11048,UK,2020,Polio,Respiratory,15.17,14.95,3.5,61+,Male,421474,93.32,1.48,8.04,Therapy,46775.0,No,60.22,2038.0,9.29,31892.0,0.9,67.51 +11051,South Korea,2023,Parkinson's Disease,Bacterial,15.91,7.93,4.02,36-60,Other,509273,58.17,0.5,2.87,Medication,48746.0,No,66.5,3615.0,8.95,10035.0,0.81,30.24 +11063,South Korea,2006,COVID-19,Bacterial,6.56,3.19,1.95,19-35,Male,171362,91.68,2.69,0.58,Therapy,46587.0,No,63.5,3726.0,6.89,93390.0,0.44,63.47 +11067,Nigeria,2018,Hypertension,Infectious,0.42,2.49,6.05,19-35,Other,794630,76.71,1.56,8.19,Medication,32718.0,No,64.24,2208.0,8.93,86569.0,0.52,24.43 +11074,Italy,2009,Zika,Respiratory,17.15,11.92,1.15,36-60,Other,226184,63.0,3.52,3.13,Vaccination,1803.0,Yes,91.95,1833.0,4.06,5977.0,0.46,45.72 +11078,Australia,2020,Cholera,Respiratory,12.4,2.08,2.15,19-35,Female,683389,97.37,4.37,5.63,Surgery,39215.0,No,51.03,3198.0,3.34,27414.0,0.65,65.88 +11080,Brazil,2024,Cancer,Parasitic,14.53,1.74,0.27,19-35,Male,331640,97.56,2.99,7.19,Vaccination,25681.0,Yes,59.28,1502.0,5.96,91686.0,0.9,62.45 +11088,Brazil,2016,Hepatitis,Genetic,18.9,7.94,2.32,36-60,Female,287488,89.25,1.88,9.57,Vaccination,35739.0,Yes,82.74,2017.0,2.43,26556.0,0.43,40.79 +11098,South Korea,2001,Asthma,Viral,16.93,3.47,1.76,0-18,Female,378764,61.47,4.09,3.86,Surgery,26001.0,Yes,61.46,4548.0,3.27,8236.0,0.41,23.61 +11107,Canada,2015,Polio,Respiratory,3.93,5.8,7.98,19-35,Female,976625,52.05,0.72,8.03,Surgery,35489.0,Yes,63.13,1272.0,8.27,62187.0,0.57,51.86 +11110,Russia,2002,COVID-19,Chronic,1.99,14.3,9.92,0-18,Other,566733,79.97,0.76,9.78,Surgery,9552.0,Yes,61.74,4561.0,1.76,49440.0,0.45,50.14 +11114,Argentina,2022,Asthma,Genetic,18.63,8.0,2.16,61+,Female,952319,83.8,4.19,2.63,Therapy,20131.0,No,62.36,4366.0,0.75,52848.0,0.82,88.58 +11122,Indonesia,2010,Malaria,Autoimmune,1.76,5.5,3.09,0-18,Female,158294,62.92,1.25,0.69,Therapy,14316.0,No,67.13,1034.0,1.04,60444.0,0.62,36.27 +11127,Saudi Arabia,2011,Measles,Bacterial,5.34,5.64,0.35,19-35,Male,445482,99.44,4.72,7.7,Therapy,45612.0,Yes,60.55,3937.0,9.81,66958.0,0.88,58.93 +11139,Nigeria,2000,Leprosy,Infectious,16.5,2.9,1.22,0-18,Female,665070,94.28,2.95,9.85,Vaccination,32830.0,Yes,64.22,3841.0,3.53,88752.0,0.73,87.95 +11142,South Korea,2009,Tuberculosis,Genetic,12.24,1.47,0.13,61+,Other,131076,78.16,4.14,4.03,Vaccination,18871.0,Yes,51.36,1419.0,6.8,35925.0,0.54,59.68 +11149,UK,2012,Hypertension,Genetic,3.17,10.38,8.79,0-18,Male,758649,92.0,3.66,4.77,Therapy,3983.0,No,72.96,658.0,8.18,68629.0,0.7,81.37 +11153,Germany,2009,Hepatitis,Infectious,13.04,5.0,3.77,19-35,Female,635451,88.98,3.55,1.78,Therapy,30648.0,Yes,85.23,1118.0,6.36,27379.0,0.75,55.72 +11185,Turkey,2012,Tuberculosis,Genetic,9.72,6.28,1.84,0-18,Other,133044,61.83,0.82,3.52,Surgery,17354.0,No,92.32,2915.0,8.11,96880.0,0.9,37.47 +11187,Australia,2002,Leprosy,Neurological,8.05,7.42,8.23,0-18,Male,562984,74.75,3.6,5.3,Surgery,12825.0,No,63.29,1536.0,9.85,27009.0,0.66,51.35 +11188,Italy,2005,Malaria,Cardiovascular,10.99,1.9,6.02,0-18,Male,298308,60.54,2.73,2.65,Vaccination,6120.0,Yes,89.97,151.0,4.79,64622.0,0.54,39.93 +11191,Mexico,2013,Diabetes,Neurological,2.45,8.27,8.81,36-60,Female,979504,96.37,1.98,1.35,Vaccination,35382.0,No,70.27,3855.0,7.93,21270.0,0.62,42.32 +11196,France,2016,Malaria,Genetic,17.22,7.19,9.43,19-35,Male,410440,94.66,3.0,4.64,Surgery,15614.0,Yes,96.89,4144.0,4.94,8744.0,0.86,70.63 +11213,France,2012,Influenza,Genetic,12.52,8.47,8.98,19-35,Female,641671,78.53,3.74,7.35,Medication,4047.0,No,71.11,1956.0,4.61,42968.0,0.63,87.66 +11217,Australia,2018,Hepatitis,Autoimmune,15.55,9.79,3.13,19-35,Female,728124,90.31,3.41,5.04,Vaccination,1840.0,No,83.75,4536.0,9.56,73460.0,0.57,22.53 +11218,Indonesia,2003,Diabetes,Neurological,13.29,2.21,4.53,61+,Female,352400,89.26,4.2,6.18,Medication,36233.0,No,60.42,1548.0,5.96,11648.0,0.54,73.57 +11219,Japan,2018,Influenza,Autoimmune,9.53,3.23,0.53,19-35,Male,414196,96.35,1.34,1.8,Therapy,11458.0,No,93.94,2060.0,6.78,53488.0,0.85,74.75 +11220,Brazil,2001,Diabetes,Genetic,16.69,4.37,9.82,19-35,Male,305111,54.7,1.56,8.68,Vaccination,24059.0,Yes,57.14,1526.0,8.9,19635.0,0.64,42.71 +11221,Nigeria,2017,Influenza,Cardiovascular,2.26,2.49,9.91,19-35,Female,357763,68.44,2.67,9.18,Surgery,37915.0,Yes,80.88,4679.0,5.23,52831.0,0.6,32.52 +11223,UK,2020,Rabies,Chronic,1.9,12.68,5.03,19-35,Female,88606,59.65,4.36,2.48,Medication,46939.0,Yes,82.65,1094.0,9.08,62847.0,0.5,65.18 +11228,Italy,2004,Cancer,Infectious,2.3,9.7,9.75,61+,Male,493276,65.32,4.49,6.41,Vaccination,31503.0,No,83.29,348.0,1.46,54973.0,0.78,73.32 +11237,Turkey,2007,Hepatitis,Cardiovascular,17.49,7.09,8.86,19-35,Other,636807,68.43,1.7,5.73,Surgery,349.0,Yes,56.55,3232.0,8.82,52496.0,0.85,43.28 +11244,Turkey,2021,Measles,Genetic,13.69,6.23,7.65,61+,Other,163016,98.35,3.97,6.97,Therapy,16783.0,Yes,57.63,4698.0,8.36,7530.0,0.47,32.89 +11245,Indonesia,2018,Asthma,Bacterial,11.47,6.8,9.04,61+,Female,270304,83.27,0.96,6.83,Vaccination,44014.0,Yes,58.06,562.0,8.42,63159.0,0.7,48.72 +11246,France,2015,Asthma,Infectious,15.92,13.79,2.02,19-35,Male,485745,71.75,4.77,7.4,Vaccination,49428.0,No,70.76,371.0,1.36,86260.0,0.72,89.02 +11260,Argentina,2020,COVID-19,Metabolic,14.44,7.24,1.47,0-18,Female,448232,63.19,3.9,0.61,Medication,35852.0,Yes,75.53,2055.0,5.64,39837.0,0.41,82.23 +11268,Argentina,2018,Ebola,Bacterial,15.36,9.79,9.65,61+,Female,158208,68.42,4.24,2.88,Surgery,12007.0,No,95.14,3723.0,1.1,69215.0,0.44,23.42 +11270,Australia,2012,Tuberculosis,Chronic,10.21,8.27,7.79,36-60,Female,88656,74.18,4.61,2.47,Therapy,10001.0,Yes,69.86,3017.0,1.22,27249.0,0.45,86.12 +11274,Brazil,2018,Diabetes,Neurological,1.48,4.73,8.95,36-60,Male,947084,92.61,1.26,0.83,Medication,213.0,Yes,90.31,2243.0,3.51,23190.0,0.68,69.2 +11275,Japan,2011,Malaria,Neurological,18.97,9.99,6.13,36-60,Male,452069,71.34,2.69,1.13,Vaccination,4631.0,Yes,94.41,4897.0,6.28,94000.0,0.69,39.94 +11278,Saudi Arabia,2001,Polio,Metabolic,17.64,2.28,7.9,61+,Male,256050,53.1,3.55,9.24,Vaccination,21378.0,Yes,86.36,2688.0,3.68,82485.0,0.68,57.26 +11279,Indonesia,2024,HIV/AIDS,Respiratory,15.81,9.84,2.34,36-60,Other,517331,85.84,1.24,5.79,Therapy,43301.0,No,60.78,4972.0,6.63,43555.0,0.52,36.84 +11284,Mexico,2005,Zika,Viral,13.14,4.08,5.16,19-35,Female,824578,76.12,4.43,4.29,Therapy,32398.0,No,60.43,4027.0,0.26,23389.0,0.8,71.67 +11286,Mexico,2008,Cancer,Neurological,4.89,12.9,7.88,36-60,Other,202246,93.19,4.79,8.57,Surgery,17495.0,Yes,50.16,4485.0,7.07,94728.0,0.7,61.02 +11293,India,2021,Zika,Viral,5.75,9.26,3.31,0-18,Male,781319,64.09,1.69,7.55,Vaccination,16361.0,No,65.8,4663.0,2.15,78536.0,0.8,32.58 +11296,USA,2001,Tuberculosis,Infectious,3.5,0.25,4.62,61+,Female,219165,94.15,1.06,7.28,Vaccination,14860.0,No,51.57,1541.0,3.19,27612.0,0.72,36.92 +11297,Canada,2007,Alzheimer's Disease,Viral,14.05,0.95,6.34,0-18,Male,395107,58.75,1.4,3.46,Medication,36355.0,Yes,94.45,1645.0,9.25,15480.0,0.74,49.03 +11302,South Africa,2000,Cholera,Parasitic,13.01,11.12,3.17,0-18,Male,868892,79.59,2.97,1.37,Medication,47198.0,Yes,58.2,546.0,1.49,33193.0,0.87,34.41 +11304,India,2019,Cancer,Chronic,12.86,10.76,3.24,61+,Other,42799,67.21,3.95,3.04,Therapy,34721.0,Yes,56.63,710.0,4.76,12409.0,0.4,48.21 +11306,Japan,2021,Dengue,Genetic,2.6,7.99,2.46,61+,Female,869253,92.08,4.9,5.51,Therapy,19766.0,No,81.63,4577.0,2.45,1620.0,0.64,21.14 +11311,Russia,2024,Rabies,Parasitic,11.8,5.74,0.38,61+,Female,843995,75.91,1.04,6.15,Vaccination,43523.0,Yes,64.79,4110.0,6.51,23589.0,0.67,85.73 +11312,Italy,2023,Polio,Neurological,8.96,12.29,3.73,0-18,Female,562497,87.68,2.88,3.2,Vaccination,29937.0,Yes,92.04,3752.0,7.57,40442.0,0.45,31.69 +11313,Argentina,2002,HIV/AIDS,Autoimmune,18.93,1.65,3.83,19-35,Male,178819,79.59,4.51,8.54,Surgery,3476.0,No,77.15,1091.0,3.18,56144.0,0.65,66.2 +11320,Argentina,2008,Asthma,Respiratory,2.78,14.74,0.89,61+,Female,409883,71.24,3.98,5.32,Medication,33422.0,No,69.35,1014.0,3.15,12379.0,0.62,55.06 +11332,Indonesia,2013,Dengue,Viral,6.75,4.35,2.81,61+,Male,286317,90.21,4.1,7.75,Vaccination,1484.0,Yes,61.55,4692.0,9.46,19441.0,0.56,56.63 +11363,Italy,2011,Influenza,Infectious,12.11,10.74,3.84,36-60,Female,909038,63.36,4.55,1.8,Surgery,9689.0,Yes,93.36,3229.0,7.29,58215.0,0.8,78.91 +11367,Canada,2024,Zika,Cardiovascular,16.55,11.05,8.98,0-18,Other,105601,86.23,4.29,9.67,Medication,5666.0,Yes,65.81,4934.0,8.55,33261.0,0.9,49.1 +11374,Brazil,2018,Influenza,Autoimmune,2.87,2.97,1.34,36-60,Other,231936,77.86,4.38,1.23,Therapy,29798.0,Yes,64.54,1857.0,7.04,36945.0,0.69,80.59 +11377,Argentina,2008,Hypertension,Chronic,4.43,5.39,3.28,36-60,Male,462255,92.93,3.39,6.72,Medication,8432.0,No,79.19,4748.0,4.43,71192.0,0.8,65.45 +11378,Nigeria,2019,Diabetes,Metabolic,10.38,8.43,3.53,36-60,Female,623480,87.17,3.76,2.24,Therapy,22303.0,Yes,71.47,2604.0,2.29,43274.0,0.7,24.73 +11383,Indonesia,2009,Cholera,Cardiovascular,16.06,8.75,8.17,61+,Female,634108,53.25,4.18,9.64,Therapy,43755.0,Yes,80.07,1888.0,8.98,52320.0,0.61,53.76 +11386,Australia,2001,Cholera,Neurological,1.28,9.55,5.87,36-60,Other,478501,54.15,1.77,5.03,Therapy,10910.0,Yes,67.74,3910.0,5.02,9268.0,0.57,85.06 +11397,Saudi Arabia,2008,Leprosy,Metabolic,17.23,2.8,2.92,19-35,Female,35948,71.79,3.72,0.8,Therapy,20407.0,No,66.36,2187.0,6.04,56355.0,0.88,88.07 +11402,Indonesia,2006,Malaria,Viral,11.77,13.29,5.84,61+,Female,893880,74.82,2.07,2.32,Surgery,24702.0,Yes,76.9,849.0,9.32,95984.0,0.51,49.63 +11416,South Korea,2008,Hypertension,Bacterial,15.43,7.44,9.63,61+,Male,648699,85.4,4.35,3.12,Therapy,402.0,Yes,56.54,3427.0,1.64,77613.0,0.83,48.18 +11427,Germany,2010,Rabies,Cardiovascular,10.57,5.88,0.51,36-60,Female,602310,60.21,2.5,7.9,Medication,24143.0,No,55.62,1585.0,7.76,21978.0,0.72,75.33 +11429,Argentina,2022,Ebola,Cardiovascular,12.94,13.39,0.84,61+,Male,206046,60.07,2.34,4.31,Therapy,27868.0,Yes,96.47,4816.0,9.85,11579.0,0.68,45.87 +11431,Turkey,2000,Malaria,Genetic,18.56,7.07,7.4,61+,Other,113573,57.62,3.71,7.56,Surgery,25662.0,No,91.34,4310.0,4.16,75435.0,0.76,64.91 +11433,Germany,2004,Hepatitis,Parasitic,12.89,6.65,7.71,0-18,Female,213745,90.16,3.37,6.09,Vaccination,23508.0,Yes,93.34,2900.0,3.62,3627.0,0.47,83.87 +11437,France,2015,Polio,Chronic,11.15,5.53,3.86,19-35,Male,318387,67.99,1.78,1.68,Surgery,45793.0,No,55.14,3510.0,5.45,53037.0,0.61,82.1 +11441,Mexico,2015,Tuberculosis,Autoimmune,8.94,6.3,8.44,36-60,Other,519236,76.44,2.92,6.05,Surgery,2095.0,No,93.03,2903.0,3.91,59423.0,0.82,81.86 +11451,France,2003,Ebola,Cardiovascular,17.7,4.43,4.61,61+,Other,242839,55.82,4.37,4.1,Vaccination,49077.0,No,71.3,3137.0,6.02,60863.0,0.59,66.2 +11470,Australia,2023,Cholera,Cardiovascular,8.61,3.11,1.36,61+,Female,558211,89.4,2.98,7.61,Medication,12026.0,Yes,98.23,645.0,9.32,36722.0,0.51,43.54 +11479,South Korea,2016,Ebola,Infectious,20.0,7.77,9.13,0-18,Other,482569,77.22,4.29,7.04,Medication,29347.0,No,56.94,950.0,0.86,16513.0,0.74,88.42 +11484,Nigeria,2017,Hepatitis,Cardiovascular,6.62,4.13,1.38,36-60,Other,210738,61.0,1.01,8.99,Vaccination,7035.0,Yes,82.71,4232.0,7.27,66382.0,0.55,65.72 +11487,Argentina,2023,Zika,Respiratory,8.94,4.79,2.56,0-18,Female,267313,92.71,4.42,6.8,Medication,29200.0,Yes,93.52,2804.0,4.51,87460.0,0.41,50.72 +11491,Argentina,2014,Leprosy,Viral,19.51,12.62,6.27,0-18,Other,913456,67.56,4.55,0.52,Vaccination,45053.0,Yes,69.99,2244.0,3.34,70892.0,0.89,76.38 +11500,Indonesia,2016,Measles,Cardiovascular,1.49,5.91,0.97,36-60,Female,761640,58.85,4.48,7.03,Surgery,18964.0,No,53.19,2960.0,6.84,37460.0,0.84,86.72 +11509,Argentina,2011,Asthma,Autoimmune,4.22,3.49,2.08,61+,Other,109908,52.63,1.25,4.8,Therapy,36067.0,Yes,76.08,2538.0,9.9,62420.0,0.74,20.57 +11523,Indonesia,2014,Dengue,Respiratory,4.18,5.71,3.06,19-35,Female,93218,53.53,0.91,1.6,Therapy,17118.0,No,63.02,4957.0,1.13,27682.0,0.53,61.6 +11524,India,2014,Leprosy,Chronic,13.0,1.87,1.73,61+,Male,229527,78.62,2.82,6.17,Therapy,42340.0,No,61.56,1493.0,8.12,29929.0,0.76,54.39 +11530,Indonesia,2021,Parkinson's Disease,Bacterial,19.49,4.75,9.87,36-60,Female,563437,82.04,4.9,7.1,Vaccination,106.0,No,97.74,1911.0,9.09,93874.0,0.42,58.77 +11531,Brazil,2000,Parkinson's Disease,Neurological,9.6,9.5,2.39,0-18,Other,98269,63.37,4.81,3.63,Surgery,24505.0,Yes,86.64,1764.0,5.01,3036.0,0.68,21.77 +11532,Italy,2004,Parkinson's Disease,Genetic,5.33,12.38,3.1,61+,Male,709609,88.48,1.84,0.64,Medication,37287.0,No,94.25,3811.0,0.8,80939.0,0.63,86.37 +11535,Canada,2023,Rabies,Autoimmune,14.17,11.93,8.05,61+,Male,149325,68.82,1.96,5.16,Medication,16783.0,No,60.53,1683.0,6.11,58297.0,0.65,82.86 +11536,Russia,2015,Rabies,Infectious,19.42,7.58,0.87,0-18,Female,142320,58.89,1.92,4.44,Surgery,9248.0,Yes,78.12,2280.0,2.91,21849.0,0.87,66.91 +11542,Nigeria,2020,Influenza,Viral,15.82,7.13,7.17,36-60,Male,277677,63.84,3.42,7.95,Surgery,44932.0,Yes,81.8,2775.0,6.16,97793.0,0.49,33.3 +11544,Canada,2024,COVID-19,Bacterial,8.9,14.55,5.42,36-60,Female,740287,68.04,2.78,2.93,Medication,48363.0,No,60.43,1214.0,4.23,2984.0,0.82,33.74 +11551,India,2007,Polio,Parasitic,11.08,14.43,1.46,61+,Female,814499,85.33,1.26,7.44,Vaccination,15323.0,Yes,88.73,2120.0,1.82,80177.0,0.51,24.01 +11554,Turkey,2005,Parkinson's Disease,Infectious,0.53,0.94,2.93,36-60,Female,186050,75.48,3.1,9.19,Medication,37199.0,Yes,85.15,4868.0,8.61,9047.0,0.59,74.92 +11556,UK,2014,COVID-19,Parasitic,4.87,0.76,1.21,19-35,Male,676432,57.35,0.9,1.23,Vaccination,28645.0,No,75.89,626.0,1.21,66498.0,0.67,72.31 +11558,Italy,2003,Cancer,Viral,18.48,12.6,3.55,36-60,Male,17614,94.4,1.14,7.68,Vaccination,16286.0,No,82.5,4660.0,6.79,74230.0,0.77,84.77 +11560,Italy,2001,Diabetes,Genetic,1.94,10.15,9.3,36-60,Other,75562,86.32,0.82,2.05,Therapy,28536.0,No,57.59,50.0,9.27,73043.0,0.66,33.32 +11563,USA,2001,Leprosy,Chronic,2.87,9.84,4.07,36-60,Female,107238,87.26,1.45,5.22,Vaccination,27656.0,Yes,66.52,1623.0,3.74,37348.0,0.54,61.93 +11565,Germany,2023,Tuberculosis,Autoimmune,16.59,6.63,5.58,36-60,Male,382295,64.83,1.14,3.9,Medication,17025.0,No,87.46,1538.0,6.24,88053.0,0.74,52.51 +11568,South Africa,2006,Alzheimer's Disease,Metabolic,15.85,3.18,5.26,36-60,Male,467090,83.75,3.77,2.94,Therapy,23843.0,No,72.12,818.0,4.37,78227.0,0.81,20.44 +11577,South Korea,2023,Tuberculosis,Neurological,6.97,11.53,9.16,0-18,Female,543947,96.56,1.54,3.83,Surgery,37896.0,Yes,62.95,94.0,9.89,55209.0,0.41,23.33 +11585,Japan,2006,Parkinson's Disease,Bacterial,8.63,4.28,3.13,36-60,Female,36585,79.75,2.35,8.13,Medication,45204.0,Yes,62.66,2665.0,2.93,40924.0,0.61,52.12 +11586,South Korea,2022,Polio,Cardiovascular,10.27,2.97,1.81,0-18,Male,220105,66.09,3.57,7.07,Vaccination,7860.0,No,60.23,1409.0,2.95,67991.0,0.51,85.62 +11591,India,2018,Tuberculosis,Autoimmune,11.8,5.7,2.75,61+,Male,691598,86.91,2.47,7.07,Surgery,47377.0,Yes,53.83,4729.0,4.51,59150.0,0.48,79.05 +11592,Japan,2017,HIV/AIDS,Respiratory,9.19,4.98,3.2,0-18,Male,740059,76.37,4.54,7.78,Surgery,23764.0,Yes,59.76,546.0,2.24,6097.0,0.48,36.54 +11599,Italy,2022,Rabies,Autoimmune,17.64,3.15,0.28,19-35,Other,112416,62.48,4.52,7.59,Surgery,14225.0,No,62.17,370.0,0.45,61983.0,0.7,76.13 +11601,India,2000,Tuberculosis,Autoimmune,18.46,11.74,9.74,36-60,Male,39211,98.64,4.84,8.71,Medication,9992.0,No,56.21,2266.0,1.6,78470.0,0.5,61.52 +11603,Italy,2014,Polio,Respiratory,15.37,3.04,0.57,36-60,Female,299807,64.41,3.03,6.32,Medication,46974.0,Yes,58.63,4462.0,5.18,75176.0,0.71,20.38 +11606,Mexico,2002,Polio,Chronic,2.59,6.23,5.38,36-60,Other,227783,86.88,3.44,6.66,Therapy,34234.0,No,82.41,4400.0,4.93,6292.0,0.66,79.85 +11610,France,2021,Zika,Chronic,6.62,1.64,0.82,19-35,Male,724076,74.85,4.66,9.62,Vaccination,21808.0,No,50.05,4041.0,6.48,2699.0,0.82,29.95 +11616,India,2013,Malaria,Neurological,9.84,6.22,4.6,36-60,Female,301419,66.18,4.21,2.97,Therapy,20520.0,Yes,97.95,3842.0,7.98,32759.0,0.6,27.44 +11622,Turkey,2005,Parkinson's Disease,Viral,15.36,12.91,1.8,0-18,Other,385529,89.49,2.09,9.49,Therapy,24762.0,No,56.14,4052.0,3.69,52095.0,0.6,45.47 +11634,Brazil,2007,Polio,Infectious,8.57,9.85,5.63,0-18,Female,813828,70.35,1.86,1.69,Therapy,4732.0,No,90.71,342.0,3.1,98045.0,0.75,59.23 +11636,Canada,2021,Malaria,Infectious,8.81,2.71,4.09,19-35,Other,924696,97.69,1.67,5.41,Vaccination,49103.0,Yes,70.03,117.0,8.14,79652.0,0.48,73.34 +11640,South Korea,2023,Ebola,Chronic,3.26,3.75,0.85,61+,Male,428925,88.99,4.42,4.83,Medication,41932.0,No,51.07,62.0,3.09,80269.0,0.71,81.06 +11644,Turkey,2018,Hepatitis,Respiratory,0.82,14.8,9.03,0-18,Other,365597,88.3,0.52,9.05,Surgery,30150.0,No,97.68,3628.0,3.54,32462.0,0.46,53.47 +11645,Brazil,2010,Measles,Viral,9.35,10.42,7.94,61+,Male,735275,71.34,3.3,1.64,Therapy,29357.0,No,82.06,3493.0,5.38,40776.0,0.77,47.22 +11646,Germany,2007,Hepatitis,Metabolic,14.39,13.26,5.31,36-60,Male,420716,91.41,0.94,1.1,Surgery,40809.0,No,80.54,3325.0,7.15,34704.0,0.76,79.29 +11652,China,2001,Alzheimer's Disease,Viral,4.18,0.3,5.36,0-18,Other,892494,62.23,4.65,3.18,Medication,674.0,Yes,83.91,2551.0,3.58,78992.0,0.76,38.42 +11655,Argentina,2001,Diabetes,Viral,5.58,7.39,5.67,0-18,Other,562712,82.47,4.79,2.26,Surgery,23919.0,No,64.55,532.0,7.89,38929.0,0.5,69.07 +11659,UK,2015,Asthma,Genetic,11.06,9.6,2.09,19-35,Other,219480,68.81,0.84,2.25,Medication,33431.0,Yes,85.17,464.0,2.64,62138.0,0.57,36.48 +11666,China,2023,Cancer,Infectious,2.54,7.81,7.47,0-18,Female,687762,79.07,2.78,2.95,Vaccination,13182.0,Yes,93.67,894.0,4.11,22461.0,0.6,37.43 +11670,Saudi Arabia,2001,Asthma,Autoimmune,1.01,2.4,2.28,0-18,Other,266271,99.3,3.83,5.89,Therapy,22544.0,Yes,86.79,3609.0,4.59,51864.0,0.71,86.86 +11671,Indonesia,2014,Tuberculosis,Autoimmune,8.76,4.11,7.42,0-18,Female,771945,70.08,1.17,7.51,Vaccination,11610.0,No,51.2,474.0,1.38,40184.0,0.44,25.66 +11686,Indonesia,2013,Cancer,Viral,16.45,3.22,8.96,0-18,Male,874116,66.62,4.89,6.79,Medication,46228.0,Yes,71.52,752.0,8.2,40709.0,0.44,65.97 +11687,Australia,2002,Cancer,Respiratory,11.49,0.16,9.7,36-60,Female,654492,53.22,4.76,3.62,Vaccination,39293.0,No,97.3,936.0,2.37,34265.0,0.71,82.99 +11697,Australia,2014,Measles,Neurological,5.09,13.01,0.94,61+,Other,777909,96.04,1.08,2.58,Therapy,43509.0,Yes,76.24,3401.0,3.15,9180.0,0.87,87.5 +11702,Brazil,2014,Polio,Chronic,6.57,12.31,1.1,19-35,Male,97266,76.57,0.87,5.53,Therapy,5938.0,No,52.97,1186.0,5.45,31803.0,0.46,66.87 +11705,Japan,2002,Ebola,Genetic,6.3,4.11,5.82,0-18,Other,697375,72.12,3.64,4.94,Surgery,20779.0,Yes,86.73,1661.0,4.38,60090.0,0.78,24.63 +11709,China,2023,Ebola,Viral,11.14,2.87,2.25,0-18,Male,959196,61.4,1.44,8.99,Medication,45340.0,No,94.71,2571.0,1.27,85089.0,0.52,59.11 +11714,Australia,2022,Malaria,Autoimmune,3.11,1.29,2.92,36-60,Other,635013,86.82,4.22,5.9,Therapy,4927.0,No,56.8,2442.0,5.74,64512.0,0.49,67.17 +11715,Italy,2000,Diabetes,Metabolic,11.85,13.65,0.27,0-18,Male,860342,91.38,3.73,4.38,Vaccination,11498.0,Yes,56.16,3064.0,0.61,50900.0,0.52,89.56 +11720,Canada,2024,Alzheimer's Disease,Neurological,1.75,13.47,7.32,19-35,Male,244062,95.86,2.27,6.86,Surgery,19648.0,Yes,94.04,1090.0,2.0,53559.0,0.44,45.38 +11725,Russia,2024,Hypertension,Respiratory,11.19,14.08,5.3,19-35,Male,927802,92.14,1.26,7.54,Surgery,5097.0,Yes,53.55,2423.0,1.51,52291.0,0.61,20.58 +11728,Japan,2015,Cancer,Metabolic,16.37,6.27,9.14,61+,Other,166002,92.63,1.85,5.52,Therapy,30833.0,No,62.6,2945.0,7.48,71146.0,0.56,46.83 +11731,Argentina,2003,Cholera,Parasitic,15.71,6.29,5.95,19-35,Other,850248,52.94,0.8,5.23,Surgery,34315.0,No,60.05,3200.0,9.84,29320.0,0.69,31.1 +11737,South Africa,2013,Polio,Chronic,18.4,4.92,3.46,0-18,Male,972079,69.28,4.02,8.07,Medication,49776.0,Yes,92.12,3038.0,6.48,13118.0,0.88,30.4 +11738,China,2019,Alzheimer's Disease,Parasitic,12.86,5.43,6.44,0-18,Male,874619,74.87,1.69,5.56,Medication,18529.0,Yes,51.57,151.0,3.38,60979.0,0.49,57.01 +11746,UK,2004,HIV/AIDS,Respiratory,13.53,7.56,7.0,0-18,Female,740787,62.08,4.28,1.79,Medication,20605.0,Yes,69.44,4142.0,3.41,39743.0,0.61,39.02 +11762,Brazil,2010,Parkinson's Disease,Infectious,0.42,9.33,9.03,36-60,Male,313500,55.85,0.85,1.11,Surgery,9366.0,Yes,81.82,2022.0,2.63,36322.0,0.8,39.59 +11769,China,2010,Parkinson's Disease,Genetic,12.53,4.7,0.57,36-60,Other,96230,82.46,2.19,3.74,Therapy,35522.0,No,81.57,345.0,7.27,92277.0,0.72,73.9 +11780,India,2003,Dengue,Bacterial,4.14,9.88,3.62,61+,Female,103057,92.43,2.08,8.52,Vaccination,47138.0,No,98.25,4349.0,8.08,39791.0,0.82,51.88 +11807,Argentina,2024,Influenza,Chronic,4.95,6.45,3.1,61+,Other,250171,72.72,0.91,1.42,Therapy,27832.0,Yes,78.64,3878.0,1.89,54744.0,0.89,55.72 +11823,Mexico,2015,Cancer,Autoimmune,9.64,14.96,9.16,36-60,Female,634875,71.86,2.89,5.72,Therapy,37249.0,No,86.31,1219.0,0.62,84619.0,0.51,35.3 +11833,South Korea,2011,Zika,Infectious,9.99,6.79,3.34,36-60,Female,234245,81.1,2.51,3.33,Therapy,26411.0,Yes,71.88,607.0,6.56,32175.0,0.47,49.04 +11844,Saudi Arabia,2011,Malaria,Respiratory,14.81,6.21,5.48,36-60,Female,426745,85.02,0.9,4.7,Medication,30289.0,No,87.11,1882.0,5.86,28239.0,0.9,29.01 +11847,Canada,2007,Cholera,Neurological,16.35,12.93,3.02,0-18,Female,870091,83.01,2.39,4.16,Therapy,3614.0,No,88.83,234.0,8.33,25325.0,0.87,26.92 +11858,Indonesia,2016,Parkinson's Disease,Metabolic,2.42,10.71,5.79,0-18,Female,26071,88.04,2.58,7.46,Vaccination,834.0,No,60.19,1672.0,4.89,93807.0,0.54,30.17 +11862,China,2014,Parkinson's Disease,Infectious,15.83,2.44,8.7,61+,Female,899591,83.24,1.8,2.56,Medication,45903.0,No,66.3,323.0,2.7,36883.0,0.69,39.74 +11863,Canada,2002,Polio,Respiratory,18.44,4.18,6.74,36-60,Other,729156,66.12,4.2,4.27,Vaccination,47795.0,Yes,69.98,1127.0,6.08,98747.0,0.82,66.92 +11864,Mexico,2023,Diabetes,Respiratory,15.56,9.28,0.63,19-35,Other,91516,78.61,1.62,3.66,Therapy,42254.0,Yes,74.09,20.0,3.69,3003.0,0.85,66.2 +11881,Italy,2020,Hypertension,Metabolic,15.16,3.58,5.09,36-60,Male,811835,56.78,0.66,2.73,Therapy,30469.0,No,82.29,4179.0,2.54,37269.0,0.69,61.35 +11883,Italy,2023,Tuberculosis,Autoimmune,18.18,2.22,4.35,0-18,Female,508885,91.41,4.01,0.54,Surgery,24508.0,Yes,66.47,3304.0,0.39,77883.0,0.54,67.39 +11884,Canada,2000,HIV/AIDS,Parasitic,5.65,12.04,7.32,0-18,Male,878088,87.89,4.83,7.65,Medication,42604.0,No,85.59,2451.0,1.47,69324.0,0.47,71.79 +11888,South Africa,2024,Zika,Bacterial,0.95,1.87,2.34,19-35,Other,762789,62.79,2.02,7.63,Vaccination,15711.0,Yes,97.37,3045.0,7.52,23680.0,0.53,78.8 +11900,Brazil,2007,Zika,Viral,7.25,12.45,0.54,61+,Female,217470,56.41,3.79,6.6,Therapy,21690.0,No,53.52,2229.0,7.76,76508.0,0.62,32.83 +11902,Nigeria,2019,Zika,Bacterial,5.8,9.62,5.36,61+,Female,272123,73.98,2.84,6.25,Vaccination,40770.0,No,97.77,2222.0,2.99,37447.0,0.71,50.83 +11905,USA,2010,Zika,Respiratory,10.24,1.43,8.05,19-35,Other,77326,67.49,3.93,3.47,Vaccination,8525.0,Yes,92.43,2766.0,5.55,32968.0,0.68,25.47 +11906,Mexico,2010,Ebola,Infectious,9.08,9.11,3.86,36-60,Male,379204,93.85,3.36,7.71,Surgery,14684.0,Yes,91.23,4484.0,8.3,32505.0,0.87,63.73 +11907,Australia,2020,Polio,Genetic,6.97,13.64,1.68,36-60,Other,326966,76.63,3.88,7.27,Therapy,28307.0,Yes,54.0,820.0,3.02,81433.0,0.55,70.9 +11909,Japan,2004,Cholera,Bacterial,7.62,12.42,6.52,61+,Female,125274,62.77,0.76,8.95,Vaccination,33683.0,No,62.5,2005.0,7.02,32404.0,0.79,36.16 +11910,South Africa,2023,Diabetes,Autoimmune,18.99,9.13,5.58,36-60,Female,995969,91.59,0.8,2.52,Surgery,2229.0,No,85.26,249.0,4.49,30414.0,0.6,79.4 +11911,South Korea,2002,Hepatitis,Cardiovascular,2.76,1.19,6.11,19-35,Female,263176,52.39,2.98,7.6,Therapy,571.0,No,92.85,3515.0,9.02,77823.0,0.52,82.48 +11914,Saudi Arabia,2024,Measles,Autoimmune,6.13,12.3,5.23,61+,Male,140301,58.63,2.65,7.18,Surgery,43261.0,No,73.98,1514.0,1.68,2163.0,0.55,21.35 +11938,Nigeria,2004,Influenza,Genetic,0.4,3.64,2.99,36-60,Other,423713,84.18,2.96,2.15,Vaccination,27984.0,No,58.86,4717.0,9.44,29791.0,0.57,37.65 +11949,South Korea,2002,Cancer,Genetic,14.78,13.39,7.79,19-35,Female,817273,81.75,0.77,7.96,Vaccination,45550.0,Yes,73.17,1671.0,0.72,48564.0,0.59,25.24 +11951,Italy,2000,COVID-19,Respiratory,18.58,13.42,5.08,36-60,Female,738264,82.94,0.55,1.13,Medication,19913.0,No,83.86,3547.0,6.41,47003.0,0.57,51.08 +11953,China,2001,Cancer,Cardiovascular,5.73,2.39,7.15,36-60,Other,282928,63.44,0.55,3.99,Vaccination,48751.0,No,77.28,1918.0,9.88,50143.0,0.78,65.77 +11958,Nigeria,2001,Rabies,Respiratory,16.61,5.69,9.15,61+,Male,547940,51.29,3.04,8.39,Surgery,22942.0,Yes,72.61,4596.0,3.59,89392.0,0.46,78.77 +11961,South Africa,2020,HIV/AIDS,Autoimmune,11.56,2.05,2.48,19-35,Female,620844,67.1,3.02,9.0,Therapy,4771.0,Yes,70.78,3736.0,0.74,70122.0,0.88,45.22 +11968,Russia,2013,Alzheimer's Disease,Respiratory,2.8,2.65,5.8,19-35,Female,926906,69.4,3.85,3.19,Surgery,8112.0,Yes,61.12,4642.0,0.54,97525.0,0.85,73.58 +11970,India,2015,Influenza,Parasitic,14.8,8.03,8.14,0-18,Other,122567,89.89,1.77,7.07,Vaccination,25884.0,No,57.68,4305.0,0.07,95605.0,0.79,46.97 +11974,USA,2016,Asthma,Infectious,18.52,7.87,4.77,19-35,Other,273794,64.34,3.69,8.35,Therapy,13204.0,Yes,54.38,2816.0,4.04,68102.0,0.82,41.31 +11975,Saudi Arabia,2005,Alzheimer's Disease,Neurological,0.44,8.23,7.67,0-18,Female,838333,87.56,1.66,7.19,Medication,15377.0,No,62.18,1979.0,4.92,88508.0,0.73,52.85 +11984,France,2004,Cancer,Bacterial,6.02,6.25,2.18,61+,Other,537878,99.77,0.77,9.56,Vaccination,17235.0,Yes,70.18,4111.0,6.93,87959.0,0.83,60.33 +11988,UK,2002,Dengue,Infectious,2.39,1.71,3.36,61+,Male,64932,50.62,3.9,8.62,Therapy,25740.0,No,57.93,3330.0,8.16,59890.0,0.8,27.91 +11989,Germany,2018,Malaria,Viral,8.09,10.13,3.36,0-18,Female,892313,51.38,1.84,9.43,Medication,19968.0,Yes,59.09,1703.0,8.84,85994.0,0.7,56.28 +11991,UK,2014,HIV/AIDS,Neurological,13.46,7.57,3.82,36-60,Other,37100,76.02,3.77,5.72,Surgery,31761.0,Yes,52.94,4186.0,5.06,36290.0,0.63,36.24 +11994,Indonesia,2003,Measles,Neurological,4.97,10.54,3.57,36-60,Male,868169,57.96,1.28,3.33,Surgery,3584.0,No,78.46,3372.0,3.52,39062.0,0.81,40.65 +11998,Italy,2007,Tuberculosis,Viral,8.65,6.29,1.81,0-18,Female,375306,74.42,4.8,8.87,Therapy,8535.0,No,64.99,3743.0,2.66,92823.0,0.68,34.77 +12000,Nigeria,2005,Measles,Respiratory,8.62,0.54,8.35,61+,Other,793015,95.28,3.65,8.8,Therapy,44167.0,No,65.89,4314.0,6.91,33864.0,0.54,72.5 +12006,Australia,2004,Asthma,Metabolic,6.42,12.45,3.62,36-60,Female,941315,68.71,2.24,5.21,Vaccination,22406.0,No,83.93,527.0,4.49,89732.0,0.66,40.74 +12008,Indonesia,2024,Hypertension,Infectious,9.95,11.77,3.63,19-35,Female,804332,82.43,2.17,9.9,Therapy,12385.0,Yes,77.51,3038.0,4.34,14822.0,0.67,53.99 +12011,Canada,2004,Diabetes,Metabolic,15.33,10.62,6.85,36-60,Male,991624,92.36,4.35,0.94,Vaccination,19347.0,No,94.14,4995.0,4.06,94097.0,0.57,61.78 +12012,Nigeria,2008,Influenza,Infectious,16.33,7.61,3.78,0-18,Male,155031,98.72,4.31,4.96,Medication,11448.0,Yes,71.2,136.0,3.24,51937.0,0.85,44.06 +12017,Nigeria,2012,Malaria,Genetic,17.56,7.93,0.28,19-35,Male,958215,63.65,2.9,1.55,Vaccination,17917.0,No,54.33,814.0,1.32,87839.0,0.72,31.29 +12018,Saudi Arabia,2021,COVID-19,Respiratory,9.42,8.71,0.65,36-60,Other,663573,92.65,1.56,2.08,Therapy,35336.0,Yes,86.95,1118.0,0.88,28803.0,0.57,69.75 +12023,USA,2014,Malaria,Bacterial,4.08,8.47,3.4,19-35,Male,809471,96.07,1.52,7.85,Surgery,41646.0,Yes,88.53,2544.0,1.99,41457.0,0.53,28.31 +12027,Italy,2011,Parkinson's Disease,Viral,8.07,0.83,6.86,36-60,Other,424861,93.4,3.29,3.08,Surgery,11258.0,Yes,93.53,2961.0,9.84,99265.0,0.61,42.44 +12032,Canada,2001,Ebola,Infectious,15.68,11.87,2.31,0-18,Other,845690,60.28,0.82,5.05,Vaccination,12794.0,No,71.32,231.0,4.42,95355.0,0.45,87.14 +12034,UK,2001,Dengue,Cardiovascular,8.21,14.56,9.95,36-60,Other,766221,98.61,3.78,3.26,Medication,20579.0,No,87.45,2413.0,6.7,79797.0,0.7,75.58 +12043,USA,2010,Polio,Respiratory,19.09,3.55,2.31,36-60,Female,512286,93.26,4.49,3.09,Therapy,34317.0,Yes,93.17,2203.0,7.96,59956.0,0.49,83.62 +12047,France,2001,Diabetes,Metabolic,9.5,8.53,2.34,19-35,Other,536518,73.05,2.45,8.79,Surgery,25770.0,No,89.79,392.0,2.65,51074.0,0.55,55.31 +12053,Brazil,2022,Rabies,Chronic,5.76,13.05,6.99,36-60,Other,497448,54.43,3.98,0.81,Therapy,30742.0,Yes,60.28,1317.0,8.32,53607.0,0.82,25.61 +12054,Brazil,2009,Measles,Infectious,9.77,13.95,4.95,19-35,Male,900025,66.2,1.74,0.93,Medication,19434.0,No,66.58,781.0,0.85,90645.0,0.84,27.78 +12057,China,2018,Ebola,Genetic,11.46,1.83,1.16,36-60,Male,440936,70.48,4.79,4.52,Therapy,29460.0,No,64.0,2416.0,6.05,6182.0,0.4,69.9 +12058,Turkey,2014,Leprosy,Parasitic,0.53,6.15,8.25,61+,Other,53197,72.24,4.86,9.36,Medication,22236.0,Yes,93.33,2358.0,0.17,46663.0,0.82,64.4 +12059,Russia,2012,Polio,Autoimmune,0.86,11.9,9.58,19-35,Female,795699,76.38,1.64,7.28,Surgery,21359.0,No,50.59,1082.0,4.24,31480.0,0.59,86.66 +12062,South Korea,2018,Alzheimer's Disease,Autoimmune,6.85,0.33,8.12,19-35,Other,116657,79.19,1.14,3.64,Vaccination,8228.0,Yes,94.2,1527.0,1.55,14823.0,0.46,33.44 +12064,South Africa,2012,Cancer,Metabolic,1.86,14.79,9.74,61+,Other,794491,86.63,0.88,4.62,Vaccination,24090.0,Yes,60.6,2458.0,0.07,99287.0,0.71,70.45 +12078,USA,2015,Parkinson's Disease,Genetic,7.1,5.51,1.54,61+,Female,670585,84.86,1.78,7.11,Medication,15754.0,Yes,76.17,1357.0,4.58,69145.0,0.72,38.13 +12079,USA,2000,Malaria,Autoimmune,1.13,9.66,1.32,36-60,Female,149361,57.7,0.57,8.29,Medication,32031.0,Yes,87.48,3348.0,2.47,88348.0,0.44,87.05 +12082,Russia,2007,Parkinson's Disease,Parasitic,8.12,3.0,2.15,0-18,Other,534611,99.15,4.66,5.6,Vaccination,15284.0,No,97.8,1235.0,1.69,1188.0,0.4,76.18 +12084,Canada,2010,Cancer,Respiratory,7.35,10.87,8.45,61+,Male,23286,55.86,0.68,0.51,Surgery,13554.0,No,93.16,1102.0,5.41,80268.0,0.43,35.65 +12093,UK,2023,Measles,Parasitic,2.87,10.41,7.82,0-18,Male,489633,94.26,1.08,6.16,Vaccination,38973.0,Yes,95.8,699.0,2.81,65181.0,0.47,44.3 +12100,China,2024,Cancer,Genetic,12.33,5.36,0.66,19-35,Male,410728,94.04,3.06,5.6,Medication,5230.0,Yes,73.76,1199.0,1.94,36096.0,0.4,21.27 +12102,USA,2024,Measles,Cardiovascular,1.66,2.58,5.22,19-35,Other,801180,79.67,2.09,7.85,Vaccination,33367.0,Yes,72.16,1147.0,9.67,67060.0,0.41,34.81 +12113,South Africa,2014,Tuberculosis,Chronic,14.98,3.88,2.67,19-35,Male,475661,83.89,4.96,4.46,Therapy,20659.0,No,73.27,2340.0,2.7,98477.0,0.85,21.96 +12116,India,2023,COVID-19,Genetic,8.24,0.42,8.73,19-35,Female,327955,58.25,2.37,7.49,Vaccination,11784.0,No,91.19,3848.0,2.68,18370.0,0.63,25.13 +12117,Argentina,2007,Tuberculosis,Cardiovascular,12.86,1.55,4.97,19-35,Female,835011,99.49,2.82,5.58,Surgery,41967.0,No,82.06,2504.0,0.6,23206.0,0.63,23.21 +12125,India,2021,Dengue,Infectious,10.8,10.39,8.1,61+,Other,274194,96.88,4.57,4.26,Surgery,49889.0,No,70.07,315.0,3.01,11877.0,0.54,27.07 +12134,USA,2017,Diabetes,Bacterial,17.95,6.94,8.21,19-35,Other,54799,95.05,3.72,1.99,Vaccination,6291.0,Yes,61.22,2706.0,2.36,10121.0,0.66,74.57 +12135,Canada,2016,COVID-19,Metabolic,15.15,3.14,4.65,19-35,Female,584685,68.9,1.79,3.4,Surgery,9313.0,No,71.55,2623.0,7.37,30612.0,0.43,31.67 +12140,Saudi Arabia,2021,HIV/AIDS,Autoimmune,0.72,10.23,3.3,61+,Other,940927,74.05,2.93,1.66,Medication,48293.0,No,52.62,248.0,7.64,72495.0,0.51,50.38 +12147,South Africa,2006,Hepatitis,Genetic,1.03,1.77,5.97,36-60,Male,18480,91.13,1.06,1.01,Therapy,3982.0,No,70.32,1527.0,7.18,15607.0,0.62,79.21 +12149,Nigeria,2005,Cholera,Chronic,6.13,2.7,3.66,36-60,Other,493917,84.45,2.74,5.94,Therapy,840.0,No,78.37,2610.0,4.14,39656.0,0.59,32.25 +12151,France,2000,Cholera,Respiratory,1.8,13.02,1.55,19-35,Male,595826,78.76,2.78,3.68,Surgery,3137.0,Yes,71.82,2210.0,1.07,53599.0,0.81,31.94 +12153,Saudi Arabia,2008,HIV/AIDS,Chronic,9.47,3.15,7.76,19-35,Other,716498,90.93,4.64,3.79,Therapy,9191.0,No,63.85,147.0,4.72,76178.0,0.65,24.91 +12155,Germany,2009,Dengue,Neurological,8.85,12.79,6.66,36-60,Other,824657,99.28,3.95,2.86,Therapy,1718.0,No,95.26,4822.0,5.94,59431.0,0.63,23.5 +12160,Russia,2018,Cholera,Respiratory,18.24,2.21,6.65,19-35,Female,268395,71.67,4.27,2.93,Surgery,761.0,No,65.59,1399.0,9.72,2952.0,0.77,71.48 +12163,Mexico,2003,Leprosy,Metabolic,9.11,9.94,2.9,61+,Female,396277,80.43,1.89,3.39,Surgery,618.0,Yes,59.67,1157.0,1.42,96719.0,0.43,88.12 +12168,Saudi Arabia,2019,Dengue,Infectious,9.18,8.99,7.87,36-60,Female,671197,93.0,2.26,8.9,Vaccination,11480.0,No,81.14,654.0,0.21,76336.0,0.52,24.42 +12176,China,2006,Malaria,Cardiovascular,7.4,6.42,7.25,36-60,Female,156045,57.32,4.59,7.01,Therapy,34424.0,Yes,60.58,4306.0,6.56,15697.0,0.9,56.6 +12178,Saudi Arabia,2022,Hepatitis,Viral,7.43,4.01,9.5,0-18,Female,567870,64.12,3.64,8.8,Vaccination,14283.0,No,81.34,3585.0,7.22,14131.0,0.78,54.77 +12182,Germany,2019,Diabetes,Infectious,2.64,1.86,9.24,0-18,Female,330575,84.41,2.3,5.98,Therapy,45132.0,Yes,66.87,3143.0,3.93,69827.0,0.68,70.39 +12183,Japan,2008,Influenza,Infectious,11.33,0.94,0.82,36-60,Female,993731,80.5,4.92,5.12,Vaccination,24451.0,Yes,82.62,3805.0,8.12,62979.0,0.57,64.52 +12187,South Africa,2003,HIV/AIDS,Bacterial,17.84,4.5,1.63,61+,Male,217041,73.59,4.37,2.86,Surgery,2521.0,No,52.77,334.0,2.47,47239.0,0.87,77.96 +12198,Indonesia,2008,Zika,Cardiovascular,19.18,1.97,0.22,0-18,Other,704180,72.65,1.25,5.02,Vaccination,44184.0,Yes,85.06,4818.0,4.74,66426.0,0.75,85.76 +12200,Nigeria,2000,Leprosy,Neurological,12.68,6.4,4.96,0-18,Other,467848,87.53,3.52,5.86,Medication,7035.0,Yes,67.72,4810.0,4.87,59448.0,0.69,48.53 +12206,Turkey,2005,Ebola,Autoimmune,3.41,9.91,9.27,61+,Male,550353,52.44,3.93,7.32,Surgery,3485.0,Yes,53.5,4251.0,3.05,64783.0,0.74,58.84 +12214,India,2006,HIV/AIDS,Bacterial,7.33,0.36,5.36,19-35,Other,687289,92.45,2.54,3.65,Medication,37269.0,Yes,86.0,2731.0,6.71,66899.0,0.61,50.57 +12217,Germany,2004,Influenza,Cardiovascular,4.09,6.52,8.17,19-35,Female,161096,79.92,3.49,0.74,Vaccination,48720.0,Yes,61.43,4861.0,3.92,81878.0,0.6,40.55 +12223,South Africa,2020,Cholera,Viral,10.54,13.63,7.77,19-35,Female,88037,86.83,1.86,6.97,Medication,49097.0,Yes,73.26,3923.0,8.88,34856.0,0.78,51.5 +12229,South Africa,2023,Zika,Neurological,11.26,14.26,9.16,0-18,Other,274833,93.57,2.38,1.66,Vaccination,31707.0,No,82.24,4400.0,9.02,21680.0,0.62,74.13 +12232,Argentina,2008,Dengue,Parasitic,8.86,6.49,3.3,61+,Other,984179,73.16,3.52,5.58,Therapy,34232.0,Yes,79.17,966.0,7.64,25325.0,0.89,50.94 +12252,South Africa,2009,HIV/AIDS,Autoimmune,14.07,6.63,3.43,19-35,Other,705885,81.93,3.59,4.95,Vaccination,9574.0,Yes,94.43,4890.0,8.22,89619.0,0.82,25.5 +12255,South Africa,2000,Dengue,Genetic,12.29,7.16,9.38,0-18,Female,8371,53.77,4.24,1.4,Surgery,3883.0,No,76.51,2559.0,9.22,95696.0,0.48,37.46 +12262,China,2001,Parkinson's Disease,Autoimmune,11.73,14.03,9.09,0-18,Other,402746,89.25,3.61,0.8,Vaccination,7229.0,Yes,81.78,383.0,6.44,19433.0,0.58,42.1 +12268,South Africa,2003,Measles,Metabolic,8.31,2.62,9.92,19-35,Male,460905,61.35,3.67,2.03,Vaccination,16113.0,Yes,85.33,1352.0,7.15,42703.0,0.85,86.7 +12272,Nigeria,2013,Malaria,Neurological,12.27,2.85,1.79,61+,Female,833008,84.33,2.09,6.74,Surgery,3070.0,No,71.82,133.0,2.21,70744.0,0.57,78.79 +12274,Argentina,2015,Ebola,Parasitic,17.4,11.73,7.07,36-60,Female,764496,93.51,3.38,1.59,Therapy,36185.0,No,88.0,4705.0,9.98,23193.0,0.68,29.8 +12276,Turkey,2004,HIV/AIDS,Bacterial,18.43,4.24,2.42,36-60,Other,849768,55.06,4.33,7.48,Vaccination,11206.0,Yes,88.61,3704.0,8.56,99867.0,0.83,33.68 +12279,China,2014,Leprosy,Parasitic,15.19,3.11,4.83,0-18,Female,265371,61.29,2.59,3.3,Vaccination,34278.0,No,89.99,2911.0,5.88,99329.0,0.86,56.49 +12282,Nigeria,2013,Leprosy,Metabolic,15.16,4.44,4.29,36-60,Other,996110,89.95,2.99,8.52,Vaccination,49557.0,Yes,96.33,9.0,8.14,8275.0,0.42,33.34 +12290,India,2020,Alzheimer's Disease,Metabolic,15.77,11.15,4.12,36-60,Other,198051,90.68,4.52,2.98,Therapy,49309.0,No,64.59,2971.0,1.6,85453.0,0.81,56.63 +12291,Mexico,2011,Leprosy,Bacterial,8.43,14.2,8.35,36-60,Female,965410,74.71,1.33,6.31,Vaccination,23437.0,Yes,55.02,3468.0,0.27,51218.0,0.84,63.85 +12293,Italy,2012,COVID-19,Parasitic,16.08,5.39,3.87,19-35,Female,911456,61.88,0.94,7.76,Medication,40537.0,Yes,85.95,3920.0,2.77,78414.0,0.87,24.59 +12299,South Africa,2003,Cancer,Chronic,2.56,9.58,0.17,36-60,Female,986398,93.51,4.22,8.75,Therapy,39715.0,Yes,87.78,1513.0,2.47,88142.0,0.71,36.81 +12303,Brazil,2019,COVID-19,Autoimmune,5.35,12.62,5.42,19-35,Other,229458,80.5,3.93,7.41,Therapy,33126.0,No,79.89,4777.0,2.54,2172.0,0.54,43.85 +12305,Turkey,2014,Ebola,Parasitic,12.46,10.52,9.17,61+,Male,71182,60.65,2.77,2.22,Medication,15832.0,Yes,90.33,4017.0,8.48,37948.0,0.4,47.51 +12309,Italy,2023,Polio,Autoimmune,8.27,4.82,5.76,0-18,Female,359208,82.0,4.47,2.5,Vaccination,39196.0,No,75.24,3551.0,3.4,55008.0,0.82,23.25 +12310,Saudi Arabia,2011,Dengue,Genetic,6.92,8.48,1.07,0-18,Male,918508,59.63,1.01,9.9,Surgery,47320.0,No,72.55,4551.0,1.88,82029.0,0.77,83.72 +12312,Nigeria,2006,Alzheimer's Disease,Genetic,19.16,12.17,5.49,19-35,Other,877246,67.96,3.33,4.21,Vaccination,13327.0,Yes,79.04,837.0,8.71,21528.0,0.75,47.59 +12315,USA,2020,Influenza,Infectious,7.87,8.4,5.88,0-18,Other,80931,99.29,0.96,6.65,Therapy,29149.0,Yes,92.75,2246.0,8.26,42004.0,0.59,58.73 +12333,Mexico,2000,Hypertension,Chronic,15.37,12.97,2.77,0-18,Other,468725,68.8,2.1,1.1,Surgery,3509.0,Yes,66.66,1795.0,9.38,47313.0,0.6,33.1 +12341,Saudi Arabia,2012,COVID-19,Bacterial,9.86,5.74,7.11,61+,Other,617207,74.65,4.93,1.71,Therapy,34911.0,No,54.91,4726.0,2.77,75039.0,0.6,61.0 +12342,Nigeria,2000,Hepatitis,Cardiovascular,2.58,14.32,1.8,19-35,Other,137874,68.82,3.46,3.2,Therapy,41500.0,No,94.26,4749.0,2.9,79701.0,0.72,51.24 +12352,South Africa,2010,Leprosy,Bacterial,4.18,9.24,3.92,36-60,Female,448502,88.1,1.77,3.27,Vaccination,33414.0,Yes,77.08,3925.0,8.22,96938.0,0.82,56.09 +12358,Russia,2000,Rabies,Cardiovascular,4.5,13.6,8.56,0-18,Other,16152,77.96,3.97,2.16,Therapy,33516.0,No,91.78,4660.0,0.84,41475.0,0.55,42.31 +12363,Japan,2016,Tuberculosis,Chronic,5.24,3.94,1.39,61+,Female,669196,75.36,2.05,4.85,Vaccination,28785.0,No,51.31,2883.0,4.42,44478.0,0.54,83.68 +12364,UK,2019,Rabies,Neurological,11.37,2.81,9.85,36-60,Other,923801,59.47,0.57,5.81,Therapy,20379.0,No,61.81,3509.0,0.38,43097.0,0.89,26.14 +12365,Japan,2007,Tuberculosis,Bacterial,8.57,13.43,7.6,61+,Other,347665,86.33,1.04,2.05,Surgery,29820.0,Yes,66.75,3950.0,5.77,30519.0,0.52,62.14 +12371,Canada,2005,Measles,Genetic,16.02,3.04,5.81,36-60,Other,943645,78.54,4.56,4.21,Surgery,32389.0,Yes,97.27,807.0,5.52,48260.0,0.48,72.08 +12379,Germany,2013,Leprosy,Neurological,16.65,0.7,7.12,36-60,Male,517565,73.23,3.58,4.73,Therapy,22620.0,No,74.94,2648.0,5.82,37502.0,0.58,40.44 +12386,Indonesia,2010,Malaria,Neurological,8.98,4.64,7.36,61+,Other,483780,95.34,2.11,2.85,Medication,556.0,Yes,65.7,3586.0,7.4,85634.0,0.71,34.17 +12399,Turkey,2012,Hypertension,Genetic,14.5,9.49,1.71,61+,Other,40008,82.55,1.23,1.86,Medication,12107.0,Yes,89.88,2796.0,7.74,42932.0,0.49,24.71 +12411,South Africa,2024,Asthma,Bacterial,15.98,5.75,9.61,61+,Female,55207,96.49,2.65,2.04,Therapy,11848.0,Yes,84.1,2797.0,3.29,6244.0,0.47,80.54 +12420,Nigeria,2015,Dengue,Chronic,17.08,12.2,7.49,61+,Other,774091,64.62,1.84,7.14,Medication,44934.0,No,61.5,1637.0,5.92,88625.0,0.43,83.92 +12425,Australia,2024,Rabies,Bacterial,10.44,14.57,3.64,19-35,Female,659618,57.57,0.8,2.08,Medication,10025.0,Yes,93.17,4057.0,9.02,64458.0,0.82,40.05 +12438,China,2011,Hepatitis,Viral,12.61,11.29,3.6,0-18,Other,601137,50.8,3.89,3.97,Therapy,16229.0,No,72.18,1992.0,1.79,82985.0,0.72,21.14 +12448,France,2006,Diabetes,Metabolic,7.19,7.18,3.56,19-35,Female,66376,94.28,3.13,4.22,Medication,45941.0,No,62.96,3146.0,8.2,11445.0,0.62,79.77 +12449,Canada,2014,COVID-19,Chronic,12.24,10.23,7.42,19-35,Female,381588,67.49,2.87,9.24,Therapy,36641.0,No,60.27,4502.0,2.22,42612.0,0.89,67.24 +12450,Brazil,2013,Ebola,Cardiovascular,5.49,8.73,9.86,0-18,Female,243849,61.72,3.04,1.57,Surgery,47420.0,No,76.79,1439.0,6.04,2985.0,0.86,28.86 +12452,Russia,2021,Zika,Genetic,3.31,4.32,0.85,19-35,Female,579920,84.26,1.88,2.96,Medication,20321.0,Yes,51.99,3932.0,9.84,26818.0,0.59,69.54 +12455,Nigeria,2014,Dengue,Cardiovascular,6.6,9.07,7.35,19-35,Other,365937,86.37,1.45,4.65,Vaccination,33613.0,Yes,70.44,2877.0,5.01,27708.0,0.66,41.88 +12461,Japan,2004,Asthma,Neurological,8.99,0.23,8.85,61+,Female,870884,53.98,2.28,4.49,Medication,3019.0,No,60.95,940.0,0.8,87185.0,0.52,48.92 +12477,China,2006,Dengue,Parasitic,17.74,1.09,3.61,0-18,Other,798323,99.08,1.91,4.23,Surgery,16535.0,No,62.21,1064.0,3.21,73119.0,0.66,73.74 +12479,India,2002,Polio,Chronic,8.88,12.16,6.47,61+,Other,224236,77.71,4.29,4.43,Therapy,39667.0,No,90.49,36.0,1.94,38615.0,0.81,22.51 +12481,France,2015,Zika,Viral,2.06,5.04,6.86,0-18,Female,115050,57.12,4.17,8.03,Therapy,4758.0,Yes,69.47,2161.0,7.82,76220.0,0.57,66.52 +12487,Germany,2014,Polio,Chronic,1.36,4.7,9.59,61+,Female,271492,80.49,2.6,5.16,Vaccination,12767.0,No,54.49,4494.0,3.27,83695.0,0.79,33.85 +12489,Saudi Arabia,2023,Diabetes,Respiratory,6.64,10.02,6.4,0-18,Male,898070,55.64,3.9,6.14,Vaccination,47329.0,Yes,61.31,4600.0,5.89,41381.0,0.77,82.61 +12494,Canada,2021,Cancer,Infectious,10.92,13.57,8.88,0-18,Male,657282,83.09,3.35,4.71,Therapy,42980.0,Yes,57.86,3067.0,5.72,8054.0,0.7,50.96 +12495,Russia,2020,Dengue,Metabolic,14.22,6.47,3.27,36-60,Other,137878,77.29,1.68,4.75,Medication,25501.0,Yes,87.3,3012.0,2.31,66283.0,0.79,69.79 +12497,UK,2017,HIV/AIDS,Bacterial,6.91,8.69,7.94,61+,Other,560643,58.36,2.56,3.72,Therapy,28412.0,No,96.66,987.0,2.49,35854.0,0.79,63.81 +12501,Indonesia,2022,Hypertension,Neurological,10.35,5.25,9.19,61+,Male,844110,94.61,4.98,8.0,Therapy,43873.0,No,85.48,1766.0,4.47,15801.0,0.58,27.75 +12506,Saudi Arabia,2007,Polio,Infectious,19.62,2.65,2.24,0-18,Female,797226,55.15,4.56,2.78,Medication,44564.0,Yes,51.49,4253.0,7.11,51612.0,0.6,44.43 +12513,UK,2011,Diabetes,Chronic,13.77,14.37,9.72,0-18,Other,159298,67.99,2.27,7.9,Surgery,25669.0,No,65.2,1033.0,0.46,50630.0,0.57,63.26 +12523,South Korea,2020,Hepatitis,Metabolic,10.62,0.78,6.77,19-35,Female,885871,83.3,0.61,1.69,Medication,23044.0,No,78.24,2860.0,9.4,82013.0,0.6,48.29 +12524,Japan,2015,Cholera,Metabolic,15.3,6.32,5.5,19-35,Male,989651,85.95,2.77,6.76,Medication,36876.0,Yes,86.83,4567.0,2.14,70272.0,0.67,32.98 +12530,UK,2013,Measles,Respiratory,7.79,5.82,2.28,61+,Female,640700,57.19,1.52,5.2,Medication,39704.0,Yes,74.93,3803.0,1.76,2220.0,0.47,60.99 +12540,Indonesia,2015,Hepatitis,Respiratory,7.45,1.84,5.06,36-60,Male,877777,96.86,1.82,2.18,Vaccination,41258.0,Yes,75.56,4680.0,7.55,11863.0,0.72,70.69 +12550,Saudi Arabia,2002,Tuberculosis,Parasitic,6.19,4.82,7.51,0-18,Other,166845,95.19,2.6,7.59,Surgery,30648.0,No,95.99,1007.0,2.27,9699.0,0.83,58.16 +12564,Saudi Arabia,2022,Influenza,Metabolic,8.51,1.81,5.16,0-18,Male,757883,64.1,1.54,4.58,Vaccination,27835.0,Yes,83.44,1246.0,2.74,37409.0,0.62,65.44 +12565,Italy,2020,Measles,Cardiovascular,17.98,5.16,4.08,19-35,Other,138125,90.15,4.91,2.47,Therapy,1769.0,Yes,82.87,2771.0,5.27,43884.0,0.86,86.93 +12567,Japan,2022,Tuberculosis,Bacterial,13.41,2.84,4.0,61+,Other,250577,51.09,2.29,5.72,Surgery,49172.0,Yes,96.06,3078.0,8.52,14694.0,0.79,24.56 +12574,France,2010,Hypertension,Cardiovascular,6.12,0.61,5.42,0-18,Male,858942,62.44,1.06,0.55,Surgery,23882.0,Yes,97.89,4804.0,8.56,8521.0,0.76,23.66 +12580,Nigeria,2022,Cancer,Parasitic,6.71,3.54,1.27,0-18,Female,328838,66.61,1.64,2.55,Surgery,15380.0,Yes,82.39,3865.0,8.32,70734.0,0.49,39.04 +12589,UK,2021,Parkinson's Disease,Bacterial,6.55,1.26,9.81,61+,Male,472222,74.7,2.57,4.13,Vaccination,38135.0,No,82.25,373.0,0.87,38932.0,0.64,70.43 +12594,Brazil,2015,Rabies,Chronic,9.63,9.5,4.71,19-35,Other,505189,63.03,3.18,6.71,Vaccination,32899.0,No,54.01,400.0,8.09,77955.0,0.46,62.87 +12607,Nigeria,2008,Ebola,Autoimmune,11.15,13.0,1.46,19-35,Female,778351,84.41,1.12,2.57,Therapy,26250.0,Yes,86.95,1204.0,0.43,45404.0,0.53,32.55 +12609,Brazil,2023,Tuberculosis,Autoimmune,4.04,0.99,7.02,0-18,Female,763717,86.0,1.03,4.63,Surgery,32124.0,Yes,65.79,4880.0,1.3,44886.0,0.41,54.4 +12612,UK,2006,Alzheimer's Disease,Genetic,18.56,4.23,1.21,19-35,Other,177121,53.14,0.61,9.81,Surgery,11694.0,Yes,81.75,2834.0,4.17,27562.0,0.57,39.25 +12615,Brazil,2005,Rabies,Viral,18.73,4.46,9.29,61+,Other,988100,65.12,3.98,3.14,Vaccination,1396.0,Yes,92.28,892.0,2.75,17675.0,0.83,43.07 +12617,France,2003,Diabetes,Respiratory,13.51,14.55,1.69,19-35,Other,658110,66.45,2.66,1.4,Medication,28011.0,No,93.5,3572.0,8.25,31988.0,0.59,79.64 +12624,Russia,2012,Asthma,Viral,15.06,11.96,4.31,36-60,Male,881550,58.29,4.15,9.1,Therapy,47757.0,Yes,78.51,363.0,0.93,38645.0,0.51,46.61 +12638,Nigeria,2019,Cholera,Genetic,17.55,7.33,1.78,19-35,Other,390434,93.97,1.87,1.5,Therapy,14151.0,No,59.3,3765.0,6.02,77324.0,0.44,76.32 +12639,Saudi Arabia,2013,Parkinson's Disease,Parasitic,12.9,8.04,3.47,0-18,Other,661623,76.79,2.62,4.98,Therapy,14821.0,No,81.41,1539.0,2.7,49400.0,0.52,65.18 +12649,Indonesia,2002,Cholera,Parasitic,4.44,8.0,0.94,19-35,Male,94687,82.99,1.13,5.91,Vaccination,45715.0,Yes,68.58,4158.0,5.29,44118.0,0.8,56.67 +12650,China,2024,Malaria,Chronic,15.04,11.96,5.58,61+,Female,519752,76.45,2.38,4.41,Surgery,21378.0,No,62.9,3961.0,4.37,80699.0,0.62,88.04 +12659,Australia,2016,Hypertension,Metabolic,7.12,11.42,10.0,61+,Female,573807,74.68,3.44,5.17,Therapy,27061.0,No,61.34,1983.0,4.07,62744.0,0.72,45.56 +12660,Saudi Arabia,2019,Rabies,Genetic,15.61,13.74,7.75,0-18,Male,562026,87.65,2.62,2.57,Medication,41965.0,Yes,62.09,2916.0,7.56,42636.0,0.59,63.67 +12662,Nigeria,2017,Dengue,Bacterial,10.5,1.08,3.75,36-60,Other,243677,77.58,0.7,4.2,Surgery,10938.0,Yes,74.38,4335.0,3.22,62665.0,0.76,49.65 +12666,Russia,2019,Parkinson's Disease,Viral,15.31,11.23,4.62,19-35,Female,527463,79.46,1.27,6.87,Therapy,8756.0,No,72.49,3042.0,1.32,46672.0,0.45,86.78 +12668,USA,2013,Ebola,Parasitic,1.13,11.17,5.57,19-35,Female,281156,93.02,2.79,8.08,Medication,41860.0,Yes,79.56,1448.0,0.84,47364.0,0.86,53.25 +12669,India,2022,Leprosy,Metabolic,16.2,11.02,7.58,0-18,Male,240377,92.65,0.52,6.77,Medication,11074.0,No,96.44,4543.0,7.18,52587.0,0.89,72.72 +12673,Japan,2009,Leprosy,Chronic,4.21,12.46,9.71,19-35,Other,270073,70.71,2.65,7.14,Vaccination,6709.0,Yes,53.78,1692.0,7.42,73887.0,0.45,23.18 +12678,Germany,2006,Alzheimer's Disease,Chronic,1.47,1.01,8.15,19-35,Female,80609,79.07,3.65,1.38,Surgery,43801.0,Yes,50.01,4979.0,2.63,56458.0,0.45,43.7 +12680,India,2005,Alzheimer's Disease,Parasitic,19.89,4.89,4.77,36-60,Female,240712,84.14,4.12,4.01,Surgery,38474.0,No,68.07,2095.0,7.76,82236.0,0.64,66.13 +12682,Russia,2023,Asthma,Metabolic,9.13,1.61,7.16,19-35,Male,979534,70.97,1.28,5.03,Surgery,24564.0,No,82.24,3021.0,7.0,77292.0,0.8,80.36 +12697,France,2000,Leprosy,Genetic,1.84,8.62,4.54,0-18,Other,603533,74.48,0.71,1.33,Surgery,46004.0,Yes,71.36,1077.0,7.16,25388.0,0.6,22.23 +12698,Brazil,2004,Hypertension,Parasitic,5.38,11.25,6.01,19-35,Other,603063,99.19,4.63,6.65,Therapy,4313.0,No,57.64,1432.0,7.79,22272.0,0.76,39.38 +12707,Saudi Arabia,2016,Measles,Cardiovascular,9.92,8.84,2.93,0-18,Female,476302,72.7,1.5,4.91,Vaccination,26314.0,Yes,88.13,3910.0,2.99,83762.0,0.89,82.72 +12713,Russia,2019,Hepatitis,Chronic,0.71,7.21,9.2,61+,Male,379618,58.71,0.77,7.53,Vaccination,17429.0,No,71.57,3497.0,9.15,76215.0,0.82,77.61 +12720,UK,2020,Cancer,Neurological,9.14,4.92,1.25,61+,Other,616957,71.65,4.16,3.6,Medication,13755.0,Yes,66.25,900.0,7.07,4909.0,0.69,83.65 +12724,Mexico,2024,HIV/AIDS,Parasitic,9.54,10.03,8.21,61+,Female,961383,69.09,0.84,4.23,Surgery,23160.0,No,91.14,1234.0,2.0,31201.0,0.72,86.5 +12726,Turkey,2009,Malaria,Genetic,17.39,5.39,9.0,36-60,Other,328503,88.14,1.3,2.16,Surgery,11388.0,Yes,86.58,4664.0,8.62,95904.0,0.79,29.76 +12728,South Korea,2015,Parkinson's Disease,Viral,7.46,9.75,9.92,61+,Female,816208,74.72,3.01,7.46,Surgery,45628.0,No,82.62,1640.0,5.58,24950.0,0.82,83.03 +12730,Australia,2009,Measles,Parasitic,7.17,0.63,7.67,0-18,Male,698897,57.63,4.39,2.07,Surgery,24788.0,No,73.45,2379.0,1.56,27335.0,0.9,21.98 +12732,Japan,2017,Measles,Infectious,2.01,12.04,0.46,19-35,Male,688838,89.3,1.37,9.0,Therapy,32655.0,Yes,90.01,759.0,4.63,24526.0,0.62,79.73 +12740,Indonesia,2014,Tuberculosis,Infectious,0.29,4.18,7.27,61+,Male,886368,99.4,2.89,6.6,Surgery,35738.0,Yes,87.66,4718.0,8.85,56357.0,0.52,21.28 +12748,Argentina,2022,HIV/AIDS,Respiratory,9.45,6.0,1.4,61+,Other,708085,77.97,3.24,2.22,Surgery,4941.0,No,61.73,362.0,2.27,21293.0,0.84,73.37 +12753,USA,2008,Hypertension,Metabolic,1.58,6.46,9.77,36-60,Male,284459,76.89,3.93,9.2,Vaccination,6281.0,Yes,53.1,4953.0,0.74,45773.0,0.87,78.54 +12756,Australia,2020,Hepatitis,Neurological,6.39,11.46,1.07,36-60,Male,889968,96.28,3.49,7.16,Surgery,6167.0,Yes,87.82,1672.0,5.85,61475.0,0.86,36.83 +12758,Mexico,2000,Ebola,Genetic,17.66,7.41,7.39,36-60,Male,80418,85.12,0.5,9.34,Surgery,25570.0,No,91.63,4109.0,5.39,74166.0,0.46,87.3 +12763,China,2013,Dengue,Bacterial,0.61,6.18,0.35,36-60,Female,704211,90.61,2.75,3.68,Therapy,33278.0,Yes,94.92,4971.0,1.72,27960.0,0.59,64.4 +12772,Australia,2009,Leprosy,Infectious,10.08,2.91,4.77,19-35,Female,343228,87.07,2.47,7.69,Therapy,22030.0,No,65.92,1.0,7.46,72915.0,0.58,51.25 +12781,China,2008,Polio,Bacterial,14.46,3.96,5.08,36-60,Male,922387,57.34,0.65,3.53,Therapy,201.0,Yes,83.64,1936.0,0.97,73324.0,0.88,85.87 +12795,France,2010,Parkinson's Disease,Respiratory,17.66,4.0,4.23,61+,Other,65094,59.85,4.17,1.16,Vaccination,45612.0,Yes,70.99,560.0,1.53,58454.0,0.81,77.62 +12797,Canada,2006,COVID-19,Bacterial,19.13,10.48,0.65,36-60,Male,322176,98.95,0.55,4.83,Surgery,35066.0,Yes,56.05,1135.0,1.55,12515.0,0.46,84.64 +12801,UK,2006,Polio,Parasitic,9.38,2.3,9.31,19-35,Female,710568,97.14,4.04,9.32,Vaccination,25865.0,No,75.97,1255.0,5.7,75603.0,0.7,58.18 +12812,UK,2024,Cholera,Cardiovascular,15.95,12.21,0.55,0-18,Other,167461,58.97,0.65,8.85,Surgery,32268.0,No,71.27,3512.0,7.38,49069.0,0.43,39.36 +12815,India,2009,Dengue,Genetic,16.06,10.77,2.37,19-35,Female,477063,85.73,2.17,8.87,Therapy,35002.0,No,57.97,1316.0,9.28,21486.0,0.58,66.88 +12816,USA,2006,Diabetes,Respiratory,13.59,3.58,3.1,0-18,Female,924919,75.53,4.28,8.51,Surgery,40678.0,Yes,61.14,3411.0,9.34,53821.0,0.47,24.54 +12819,Mexico,2003,Rabies,Autoimmune,13.89,14.36,6.03,61+,Female,269158,56.34,2.67,4.44,Vaccination,40218.0,Yes,53.08,361.0,7.46,61846.0,0.88,51.51 +12830,India,2024,Malaria,Infectious,13.12,14.25,3.15,0-18,Male,259035,85.89,1.27,9.35,Vaccination,36743.0,No,61.74,985.0,6.6,85012.0,0.45,56.97 +12833,Australia,2024,Hepatitis,Genetic,14.27,3.48,6.84,61+,Male,958423,93.9,0.59,7.52,Medication,35535.0,No,54.6,3620.0,4.76,27878.0,0.83,45.35 +12837,Italy,2021,Zika,Infectious,8.06,11.31,6.75,0-18,Other,702509,64.1,1.09,5.83,Therapy,41487.0,Yes,83.25,2065.0,8.36,67001.0,0.43,75.68 +12838,UK,2000,Dengue,Viral,9.71,2.73,5.98,0-18,Female,833984,92.26,3.25,9.28,Vaccination,36248.0,No,62.16,4726.0,1.48,35626.0,0.78,33.67 +12844,Argentina,2007,Dengue,Respiratory,2.83,4.81,6.91,36-60,Female,677905,86.05,3.46,3.12,Therapy,19218.0,Yes,89.61,3838.0,5.07,63154.0,0.47,46.87 +12845,China,2000,Alzheimer's Disease,Infectious,18.68,11.59,3.29,19-35,Female,346513,85.78,0.96,2.45,Therapy,27237.0,Yes,64.19,1935.0,3.82,58299.0,0.85,72.79 +12850,France,2000,Tuberculosis,Viral,0.78,2.4,7.27,19-35,Female,374491,62.78,4.76,2.62,Medication,37497.0,No,69.23,2977.0,6.88,62778.0,0.62,42.96 +12858,Japan,2022,Parkinson's Disease,Viral,18.9,11.98,6.48,19-35,Other,699547,90.57,3.46,8.34,Vaccination,738.0,Yes,98.75,2919.0,9.14,42806.0,0.64,54.22 +12860,Saudi Arabia,2009,Malaria,Respiratory,19.35,5.06,9.59,0-18,Male,141222,95.16,4.93,3.48,Medication,10939.0,No,92.31,1485.0,8.94,85219.0,0.63,37.41 +12862,South Korea,2012,Hepatitis,Parasitic,5.04,10.51,9.62,0-18,Other,907403,74.99,2.37,4.35,Therapy,48906.0,Yes,75.1,3750.0,5.31,36103.0,0.61,24.02 +12865,Saudi Arabia,2018,Influenza,Cardiovascular,6.98,7.18,2.47,36-60,Male,434060,52.22,3.48,6.8,Therapy,46024.0,No,60.87,2194.0,7.3,22899.0,0.88,23.55 +12888,Australia,2006,Tuberculosis,Bacterial,2.04,1.54,0.37,36-60,Male,973133,54.77,0.98,4.38,Therapy,14180.0,Yes,67.13,645.0,4.18,27905.0,0.61,41.85 +12898,Saudi Arabia,2018,Cholera,Genetic,15.92,5.67,9.78,19-35,Male,219083,75.4,2.38,0.62,Medication,1367.0,Yes,50.1,1910.0,4.61,62140.0,0.55,25.62 +12902,Argentina,2003,Alzheimer's Disease,Parasitic,9.39,6.42,5.0,61+,Female,449513,67.4,3.96,8.16,Therapy,47330.0,No,54.22,1912.0,8.74,72737.0,0.77,79.35 +12907,South Africa,2001,HIV/AIDS,Respiratory,13.25,9.42,1.25,19-35,Male,673702,88.27,1.05,6.98,Medication,36705.0,Yes,64.51,36.0,3.38,17972.0,0.58,75.34 +12908,China,2006,Measles,Neurological,19.91,9.39,5.23,0-18,Other,637457,63.39,3.44,8.69,Medication,26401.0,No,82.39,1352.0,6.88,57903.0,0.48,52.97 +12917,Australia,2023,Dengue,Bacterial,12.14,10.8,2.03,19-35,Male,122540,50.22,2.43,6.37,Medication,44380.0,No,59.57,1076.0,9.56,97161.0,0.67,72.42 +12920,UK,2018,Dengue,Chronic,6.76,9.31,0.85,0-18,Male,660638,95.22,2.86,3.97,Therapy,4687.0,No,64.7,3118.0,6.06,61983.0,0.46,40.58 +12926,USA,2005,Alzheimer's Disease,Respiratory,17.94,0.9,8.28,61+,Other,721144,74.64,3.37,7.31,Medication,26808.0,No,92.89,2922.0,0.27,77989.0,0.64,38.96 +12930,India,2000,Leprosy,Autoimmune,2.04,13.16,3.41,0-18,Other,568540,89.09,3.8,8.87,Vaccination,45883.0,Yes,57.65,3920.0,5.45,97245.0,0.66,88.12 +12940,Canada,2017,Malaria,Cardiovascular,0.26,5.36,2.08,61+,Other,941027,99.47,1.06,3.16,Therapy,49892.0,No,55.34,891.0,5.72,76608.0,0.54,66.05 +12944,UK,2023,Asthma,Chronic,7.19,6.78,6.73,61+,Male,824950,64.61,1.15,3.43,Therapy,4540.0,Yes,86.6,2508.0,4.82,69089.0,0.77,76.38 +12951,South Korea,2001,COVID-19,Autoimmune,6.94,6.52,2.16,61+,Other,605851,57.48,2.47,6.61,Therapy,4584.0,No,63.79,3694.0,2.71,95392.0,0.79,71.64 +12971,Saudi Arabia,2012,Leprosy,Metabolic,17.65,2.57,5.86,19-35,Other,136413,95.8,1.06,3.48,Therapy,43924.0,No,73.15,4347.0,0.22,56381.0,0.57,71.94 +12975,India,2007,Asthma,Cardiovascular,18.76,6.64,4.04,0-18,Male,218969,77.16,3.16,3.69,Vaccination,2176.0,Yes,59.46,3960.0,5.57,84605.0,0.72,69.52 +12977,France,2013,Dengue,Viral,7.09,11.0,3.69,36-60,Other,95212,51.64,3.91,1.1,Vaccination,45668.0,No,84.35,503.0,4.41,14979.0,0.88,51.06 +12980,USA,2014,Hypertension,Genetic,2.98,8.34,0.94,61+,Female,793324,61.59,3.3,8.61,Therapy,36325.0,No,98.66,2043.0,6.28,35823.0,0.42,44.52 +12992,Japan,2012,Parkinson's Disease,Cardiovascular,17.17,7.0,2.22,19-35,Female,152724,85.78,2.5,2.8,Surgery,40253.0,Yes,66.45,1180.0,8.8,67352.0,0.89,76.29 +12998,Saudi Arabia,2004,Tuberculosis,Neurological,3.89,11.42,3.42,0-18,Other,546809,94.15,2.12,7.67,Vaccination,14963.0,Yes,63.7,2938.0,9.16,66446.0,0.67,66.86 +13000,Italy,2011,COVID-19,Chronic,17.57,3.98,1.44,36-60,Female,561635,72.76,0.88,7.31,Therapy,14004.0,No,92.01,932.0,0.55,56963.0,0.81,56.62 +13005,South Korea,2005,Zika,Genetic,5.09,13.03,5.47,19-35,Male,762782,58.2,2.26,9.13,Surgery,11688.0,No,56.48,4721.0,5.76,69544.0,0.78,50.85 +13007,Saudi Arabia,2016,Measles,Cardiovascular,7.5,9.67,8.24,36-60,Other,71575,61.56,2.23,5.93,Surgery,45443.0,Yes,87.75,4624.0,9.77,49890.0,0.7,43.2 +13008,Indonesia,2004,Asthma,Parasitic,2.58,14.5,9.28,36-60,Female,742174,70.06,2.34,7.17,Surgery,44583.0,Yes,95.59,2100.0,2.88,41333.0,0.58,29.48 +13013,India,2009,Diabetes,Parasitic,6.46,7.5,3.75,61+,Other,391479,53.99,1.93,9.56,Vaccination,7844.0,Yes,90.62,3614.0,6.6,20043.0,0.64,48.45 +13020,Nigeria,2020,Ebola,Autoimmune,15.96,6.72,9.24,0-18,Other,974087,91.21,4.79,6.42,Vaccination,14385.0,Yes,93.22,3321.0,2.67,24910.0,0.82,41.52 +13021,UK,2003,Hypertension,Chronic,12.46,13.72,4.97,61+,Other,140593,59.19,3.37,7.94,Vaccination,12663.0,No,68.77,697.0,1.77,72328.0,0.8,58.36 +13022,Japan,2023,Tuberculosis,Metabolic,4.47,3.64,1.31,19-35,Female,242165,64.99,2.23,8.74,Therapy,36791.0,Yes,75.95,2830.0,3.99,74466.0,0.7,75.82 +13024,South Africa,2009,Measles,Chronic,19.09,1.48,3.18,36-60,Male,425968,65.69,1.55,8.83,Therapy,23214.0,No,64.16,96.0,6.13,5667.0,0.62,76.39 +13027,USA,2013,Tuberculosis,Autoimmune,15.97,7.9,8.05,0-18,Male,596633,78.68,3.94,2.69,Medication,106.0,Yes,84.08,1421.0,8.11,70494.0,0.51,40.34 +13033,India,2024,Influenza,Infectious,7.41,6.67,7.59,36-60,Other,64536,81.04,0.85,7.14,Therapy,513.0,No,90.55,160.0,1.47,10675.0,0.73,24.26 +13040,Mexico,2000,Hypertension,Autoimmune,7.24,7.61,7.94,19-35,Other,465397,53.49,2.17,5.29,Surgery,18260.0,No,77.19,2843.0,6.74,81215.0,0.6,21.69 +13041,Germany,2001,Polio,Chronic,18.78,3.26,3.66,61+,Other,878320,84.28,2.8,6.51,Vaccination,28441.0,No,54.12,4883.0,7.53,77515.0,0.53,89.73 +13058,Indonesia,2000,Tuberculosis,Metabolic,13.21,12.22,8.31,19-35,Other,183443,60.5,3.04,2.88,Vaccination,8503.0,Yes,59.29,2555.0,7.03,4002.0,0.85,49.19 +13061,South Africa,2018,HIV/AIDS,Respiratory,13.66,6.14,5.09,0-18,Female,712418,71.49,2.4,2.96,Therapy,41982.0,No,75.58,3892.0,1.33,50535.0,0.73,58.67 +13066,Nigeria,2024,Polio,Neurological,13.26,0.52,0.85,19-35,Other,697452,70.12,3.06,3.71,Medication,11452.0,No,80.94,2069.0,6.39,3187.0,0.63,41.01 +13070,Germany,2016,Leprosy,Respiratory,12.81,11.33,9.86,19-35,Female,193770,56.53,3.97,8.04,Therapy,39930.0,Yes,91.06,4412.0,2.24,1425.0,0.64,46.62 +13074,Canada,2017,Rabies,Neurological,2.07,8.54,8.47,19-35,Male,15586,74.81,0.95,4.81,Therapy,16883.0,Yes,72.48,1564.0,1.31,70629.0,0.86,39.83 +13079,Saudi Arabia,2024,Measles,Infectious,2.58,11.95,4.23,19-35,Male,941798,94.15,0.57,6.84,Therapy,47774.0,No,70.17,1058.0,5.14,86582.0,0.72,60.89 +13091,Australia,2008,COVID-19,Cardiovascular,6.6,4.23,3.69,61+,Male,522000,95.66,3.17,4.36,Therapy,47180.0,Yes,76.63,2822.0,0.31,43677.0,0.76,76.54 +13092,Germany,2017,Malaria,Viral,0.4,6.86,7.64,61+,Male,842020,81.0,0.54,4.32,Vaccination,3851.0,Yes,55.03,2775.0,6.37,9834.0,0.8,53.18 +13098,USA,2008,Rabies,Parasitic,8.99,3.33,0.13,36-60,Male,509340,53.52,1.36,1.21,Surgery,14112.0,Yes,73.72,2494.0,0.61,34305.0,0.86,65.26 +13100,Italy,2003,Dengue,Metabolic,5.2,6.04,4.14,36-60,Male,864863,55.83,1.07,0.99,Medication,5076.0,Yes,87.43,3615.0,0.51,17738.0,0.65,84.66 +13104,Turkey,2005,Parkinson's Disease,Autoimmune,11.35,6.49,6.46,61+,Other,406273,80.38,1.6,8.13,Surgery,34932.0,No,51.95,3629.0,2.38,83195.0,0.41,56.77 +13110,Saudi Arabia,2006,Leprosy,Respiratory,10.08,1.23,2.63,19-35,Male,493565,55.69,2.98,2.8,Therapy,42885.0,No,70.93,2370.0,9.32,59827.0,0.88,29.41 +13118,Germany,2024,Leprosy,Bacterial,0.41,0.19,0.22,19-35,Female,711412,63.89,3.31,4.54,Surgery,46021.0,Yes,92.07,2050.0,3.02,76816.0,0.51,31.65 +13119,Saudi Arabia,2015,Zika,Viral,8.0,5.99,3.87,61+,Other,727248,81.07,4.43,2.42,Medication,19534.0,Yes,62.95,4994.0,7.76,39602.0,0.77,85.85 +13121,India,2009,COVID-19,Neurological,0.95,6.32,7.68,61+,Male,57277,62.18,2.25,6.14,Vaccination,47530.0,No,69.49,3604.0,9.17,76698.0,0.9,40.94 +13129,France,2017,Diabetes,Infectious,8.96,7.39,7.41,36-60,Male,881489,72.95,3.44,0.81,Vaccination,20870.0,No,52.98,3433.0,5.87,23774.0,0.76,24.6 +13130,Mexico,2009,HIV/AIDS,Autoimmune,13.2,9.26,9.65,61+,Male,143674,90.34,3.97,2.87,Therapy,8398.0,No,95.03,3813.0,7.34,61850.0,0.5,39.41 +13131,Germany,2022,Cholera,Bacterial,3.51,10.72,2.49,0-18,Other,369733,50.1,3.0,5.74,Vaccination,20166.0,Yes,95.87,3647.0,3.21,6296.0,0.74,31.2 +13132,South Africa,2010,Alzheimer's Disease,Infectious,15.19,6.24,2.97,61+,Male,960163,89.16,1.28,9.88,Medication,484.0,No,96.05,2937.0,2.44,4753.0,0.62,36.64 +13133,Japan,2018,HIV/AIDS,Cardiovascular,8.12,9.76,8.27,36-60,Other,717842,76.13,3.3,5.87,Vaccination,691.0,Yes,55.92,3429.0,2.05,25377.0,0.6,47.15 +13134,Turkey,2005,Zika,Autoimmune,8.15,8.26,3.47,19-35,Other,501295,95.36,1.11,7.09,Medication,42200.0,Yes,53.75,3447.0,9.93,8273.0,0.71,28.53 +13136,South Africa,2017,Alzheimer's Disease,Metabolic,1.57,13.38,7.35,61+,Female,215052,67.62,2.17,3.39,Vaccination,2308.0,No,93.74,2110.0,7.91,60584.0,0.71,72.12 +13143,China,2015,Dengue,Chronic,14.46,13.66,4.47,36-60,Female,454198,64.39,4.68,6.85,Medication,15348.0,No,81.9,1282.0,9.96,68787.0,0.68,73.56 +13146,Indonesia,2001,Rabies,Cardiovascular,11.34,5.91,5.02,0-18,Male,620066,65.89,2.21,9.14,Therapy,37301.0,No,71.38,2015.0,3.59,86270.0,0.89,85.72 +13147,India,2018,Leprosy,Metabolic,12.43,11.92,3.43,19-35,Male,513829,92.16,3.17,3.21,Medication,14042.0,No,85.86,775.0,3.44,34559.0,0.8,52.32 +13153,Russia,2014,Zika,Respiratory,11.19,0.32,6.13,19-35,Other,587038,96.79,3.99,6.91,Therapy,7417.0,No,67.69,1659.0,5.7,92853.0,0.66,66.29 +13162,France,2019,Tuberculosis,Cardiovascular,12.55,3.43,1.89,61+,Male,647756,70.26,2.8,4.03,Medication,23994.0,No,92.5,1280.0,9.08,41519.0,0.62,73.68 +13167,Indonesia,2017,Rabies,Viral,11.66,12.93,7.71,36-60,Other,751535,90.15,2.17,5.04,Surgery,45556.0,Yes,51.53,3742.0,8.17,1409.0,0.6,83.95 +13168,Indonesia,2024,Asthma,Metabolic,17.69,11.22,9.23,0-18,Male,517224,85.19,2.95,1.52,Therapy,32326.0,No,85.81,3398.0,0.22,80104.0,0.82,62.18 +13169,Saudi Arabia,2024,Rabies,Parasitic,13.72,11.76,8.96,61+,Female,161813,86.28,3.51,4.33,Medication,14275.0,Yes,86.06,4732.0,1.88,66224.0,0.51,68.42 +13177,USA,2022,Influenza,Respiratory,14.32,9.46,5.42,0-18,Male,839850,59.79,4.1,3.4,Medication,48153.0,Yes,97.91,2762.0,8.02,39517.0,0.45,21.62 +13180,UK,2014,HIV/AIDS,Bacterial,13.76,13.68,4.8,36-60,Other,833059,93.93,2.19,4.5,Therapy,33349.0,Yes,78.82,4294.0,7.08,25457.0,0.76,23.49 +13181,India,2009,Alzheimer's Disease,Infectious,19.8,3.62,3.78,19-35,Male,842942,83.89,0.77,3.38,Vaccination,10948.0,Yes,84.4,1862.0,2.2,32276.0,0.65,29.93 +13192,Australia,2015,Parkinson's Disease,Respiratory,14.61,14.61,6.57,61+,Other,459566,54.52,2.95,3.81,Medication,25571.0,No,65.54,733.0,4.79,30952.0,0.42,22.03 +13195,USA,2009,Hypertension,Infectious,3.09,9.16,2.46,19-35,Male,409558,67.6,3.08,1.05,Medication,18083.0,No,66.16,722.0,8.11,5463.0,0.55,23.47 +13216,Italy,2020,COVID-19,Autoimmune,19.16,8.28,2.98,61+,Male,769285,53.14,1.17,2.12,Surgery,33210.0,Yes,64.27,1066.0,2.31,24155.0,0.88,51.36 +13228,Canada,2000,Parkinson's Disease,Neurological,1.12,0.69,9.68,0-18,Male,191921,61.92,2.47,2.94,Vaccination,13506.0,No,82.68,4925.0,5.21,57169.0,0.45,75.23 +13229,France,2024,Cholera,Infectious,7.85,8.46,3.37,36-60,Male,799389,79.01,0.51,1.44,Medication,22218.0,Yes,82.66,3104.0,8.68,51531.0,0.72,36.85 +13246,Germany,2008,COVID-19,Parasitic,7.04,7.33,5.38,19-35,Male,643561,69.28,0.92,0.58,Therapy,7011.0,No,87.43,2863.0,1.36,22325.0,0.46,58.16 +13249,South Korea,2012,Polio,Autoimmune,10.98,14.04,8.29,0-18,Female,908901,73.32,3.41,2.31,Vaccination,49091.0,Yes,95.48,2835.0,3.42,74995.0,0.71,48.25 +13251,Russia,2023,HIV/AIDS,Infectious,16.56,3.0,5.11,36-60,Female,91029,63.45,2.66,2.86,Vaccination,12658.0,No,76.36,4547.0,8.29,46256.0,0.41,88.7 +13259,USA,2022,Hepatitis,Respiratory,19.28,0.58,1.66,0-18,Male,355960,91.16,0.67,3.86,Surgery,45018.0,No,54.75,704.0,5.88,74693.0,0.79,60.04 +13260,Australia,2011,Hypertension,Respiratory,19.29,9.92,2.43,61+,Male,465466,95.76,1.26,6.87,Therapy,23462.0,No,91.97,2367.0,9.84,31870.0,0.65,55.88 +13261,Brazil,2011,Influenza,Neurological,5.28,0.3,2.48,36-60,Other,867333,82.44,3.42,5.0,Surgery,34602.0,No,51.88,1470.0,8.4,46324.0,0.76,60.83 +13262,Argentina,2015,Dengue,Viral,1.1,1.65,4.35,36-60,Male,783881,84.71,2.91,4.7,Surgery,28462.0,Yes,52.77,2827.0,3.7,74291.0,0.5,24.02 +13263,Australia,2012,Cancer,Metabolic,12.94,11.12,3.92,0-18,Other,84914,85.99,1.63,8.85,Medication,42870.0,No,68.22,2424.0,1.63,55699.0,0.79,62.58 +13269,India,2010,Alzheimer's Disease,Neurological,13.77,10.35,7.81,61+,Other,604415,56.14,3.75,9.7,Medication,29395.0,No,60.9,136.0,5.73,82902.0,0.42,87.63 +13274,Turkey,2010,Diabetes,Chronic,6.45,14.04,9.58,61+,Male,291027,60.76,2.03,8.78,Medication,33657.0,Yes,69.12,1094.0,4.59,3787.0,0.85,70.55 +13282,Russia,2005,Polio,Infectious,3.43,8.99,4.75,61+,Female,561942,85.96,4.62,4.59,Medication,19709.0,Yes,50.66,2973.0,7.66,42121.0,0.81,68.39 +13283,Mexico,2022,Polio,Genetic,4.08,5.31,7.17,19-35,Female,668860,53.47,3.04,7.88,Therapy,41371.0,Yes,85.26,4894.0,7.34,28120.0,0.66,85.77 +13287,Italy,2015,Rabies,Chronic,18.84,2.65,6.24,61+,Male,656653,90.42,4.63,0.53,Vaccination,15102.0,Yes,88.11,1641.0,8.32,72763.0,0.83,70.98 +13297,Canada,2014,Diabetes,Cardiovascular,13.88,10.26,5.48,0-18,Female,980927,52.72,2.32,7.7,Medication,46064.0,Yes,58.64,2188.0,7.88,74507.0,0.85,63.29 +13303,India,2012,Influenza,Cardiovascular,15.51,3.18,2.73,61+,Male,121094,55.94,3.14,8.2,Surgery,9126.0,Yes,76.01,520.0,8.24,80331.0,0.49,43.8 +13305,South Africa,2012,Tuberculosis,Respiratory,15.04,4.83,4.63,19-35,Female,681627,87.42,4.47,5.8,Surgery,41731.0,Yes,97.25,376.0,2.17,87181.0,0.62,87.73 +13316,Saudi Arabia,2023,Diabetes,Parasitic,13.19,9.91,6.14,19-35,Other,893319,78.42,2.05,9.61,Medication,33899.0,No,78.08,4863.0,7.09,27861.0,0.86,87.06 +13317,Canada,2001,Polio,Chronic,4.31,0.29,2.26,36-60,Male,533442,95.19,0.61,2.38,Surgery,18390.0,No,56.73,2984.0,1.09,87733.0,0.8,62.51 +13318,Australia,2001,Dengue,Respiratory,9.26,10.04,8.13,0-18,Other,730714,98.32,2.11,6.5,Vaccination,37998.0,No,62.56,2902.0,8.97,91213.0,0.79,63.71 +13319,USA,2010,Tuberculosis,Parasitic,6.43,10.87,3.29,36-60,Male,28598,83.86,0.53,5.98,Surgery,31417.0,Yes,60.12,1454.0,7.17,47784.0,0.73,48.44 +13330,Turkey,2000,HIV/AIDS,Cardiovascular,4.26,6.42,6.66,19-35,Male,557849,93.5,2.47,9.99,Surgery,6102.0,Yes,97.24,2558.0,0.72,37140.0,0.49,21.58 +13337,Italy,2020,Malaria,Chronic,5.28,14.65,4.34,36-60,Male,681989,96.73,1.86,5.99,Medication,17070.0,Yes,62.77,217.0,7.6,68824.0,0.47,47.77 +13347,Canada,2023,COVID-19,Neurological,9.85,10.68,0.19,19-35,Other,139098,67.16,2.6,5.5,Vaccination,36102.0,Yes,90.78,3027.0,0.1,55138.0,0.74,24.3 +13365,Australia,2014,Hepatitis,Viral,17.95,13.43,6.64,36-60,Male,488236,65.76,4.96,8.6,Surgery,31152.0,No,67.65,2568.0,2.22,19785.0,0.67,38.3 +13366,Nigeria,2021,Leprosy,Autoimmune,1.47,4.05,2.88,0-18,Male,773790,51.99,2.31,7.24,Medication,42442.0,Yes,53.69,780.0,2.08,51417.0,0.73,72.09 +13371,India,2004,HIV/AIDS,Viral,9.66,14.17,8.51,19-35,Other,84253,83.93,3.63,4.36,Surgery,20504.0,Yes,81.35,4961.0,4.14,6480.0,0.57,32.72 +13372,India,2003,Hepatitis,Parasitic,16.68,5.1,7.64,19-35,Male,35097,85.44,4.5,9.23,Surgery,23501.0,No,57.48,4981.0,5.65,37393.0,0.83,85.21 +13377,South Africa,2011,Polio,Respiratory,0.11,10.84,5.78,36-60,Female,254978,97.29,1.5,9.41,Medication,28513.0,No,59.69,413.0,7.87,9066.0,0.55,53.84 +13380,India,2022,Rabies,Parasitic,8.53,11.21,6.1,19-35,Other,509578,59.09,3.49,0.62,Medication,46316.0,Yes,94.8,3536.0,4.35,94652.0,0.85,29.55 +13397,Germany,2012,Ebola,Chronic,18.41,5.03,6.48,19-35,Other,844196,53.46,0.91,8.86,Vaccination,10088.0,Yes,80.47,3630.0,6.05,86501.0,0.51,32.23 +13398,Nigeria,2021,Ebola,Genetic,17.87,2.18,5.19,36-60,Male,67662,76.03,1.84,6.19,Surgery,21788.0,Yes,91.04,2671.0,3.1,50204.0,0.88,89.28 +13406,Russia,2019,Dengue,Infectious,13.21,10.99,1.68,61+,Female,893729,82.86,3.07,9.34,Medication,39808.0,No,83.11,3078.0,3.56,26607.0,0.8,21.3 +13411,France,2005,HIV/AIDS,Metabolic,5.71,9.35,3.29,36-60,Male,41347,82.82,0.99,9.9,Surgery,13842.0,Yes,95.84,4854.0,1.41,6725.0,0.89,64.15 +13415,Russia,2001,Tuberculosis,Cardiovascular,3.47,8.62,5.31,61+,Female,835570,99.61,1.04,0.76,Vaccination,23299.0,Yes,90.47,1859.0,2.67,7986.0,0.73,68.46 +13416,Saudi Arabia,2002,Parkinson's Disease,Genetic,15.97,3.34,3.05,61+,Other,37382,88.77,2.11,1.79,Surgery,3239.0,No,62.16,3559.0,4.58,3998.0,0.81,30.65 +13417,France,2009,Ebola,Chronic,1.01,1.44,8.79,19-35,Male,769589,98.87,4.17,3.75,Surgery,30266.0,No,54.59,3811.0,3.09,6564.0,0.41,73.14 +13418,Australia,2009,Ebola,Metabolic,16.93,3.5,2.89,61+,Female,754968,98.95,1.44,9.65,Medication,16445.0,Yes,81.86,1855.0,1.5,23785.0,0.44,72.89 +13420,UK,2004,Zika,Autoimmune,9.71,7.62,2.26,19-35,Other,818608,55.49,3.8,7.3,Surgery,20260.0,No,70.69,14.0,8.08,99010.0,0.9,32.7 +13424,Turkey,2016,Leprosy,Infectious,7.77,9.04,4.05,19-35,Female,934776,79.03,0.65,4.42,Vaccination,15303.0,Yes,88.76,2105.0,7.72,89651.0,0.78,75.78 +13427,Russia,2013,Polio,Autoimmune,0.65,0.58,1.7,0-18,Female,952233,60.23,4.82,1.62,Medication,26722.0,Yes,93.34,4749.0,9.45,32904.0,0.49,64.3 +13445,Turkey,2011,Tuberculosis,Metabolic,14.94,10.96,5.22,36-60,Female,848061,70.23,4.55,0.98,Medication,33432.0,No,62.8,3051.0,3.81,30634.0,0.81,80.86 +13457,Argentina,2023,HIV/AIDS,Metabolic,5.21,0.43,3.48,61+,Male,167304,74.36,4.09,5.88,Medication,42263.0,Yes,76.3,492.0,7.02,628.0,0.44,37.39 +13458,Australia,2002,Cancer,Infectious,4.0,6.39,2.82,19-35,Male,206648,50.88,2.01,7.99,Vaccination,11875.0,Yes,90.91,4945.0,5.21,20243.0,0.68,66.65 +13463,India,2009,Ebola,Neurological,6.56,9.15,5.95,61+,Female,889950,99.21,1.5,4.14,Surgery,46318.0,No,83.45,205.0,0.06,41899.0,0.89,53.85 +13465,Argentina,2013,Hypertension,Chronic,17.05,8.97,8.18,61+,Male,617729,71.41,3.93,8.6,Surgery,38000.0,No,97.17,231.0,3.65,27996.0,0.86,49.14 +13468,USA,2005,Leprosy,Cardiovascular,13.11,11.44,8.75,61+,Male,256209,81.31,3.35,0.9,Surgery,21378.0,Yes,65.68,1623.0,2.44,60274.0,0.86,60.38 +13470,Turkey,2014,Cancer,Viral,1.02,6.42,2.82,61+,Female,908942,63.64,3.78,9.97,Therapy,6654.0,Yes,92.15,810.0,0.85,10211.0,0.89,85.86 +13471,Mexico,2007,Leprosy,Genetic,6.93,7.09,0.63,61+,Other,572618,62.62,4.18,9.48,Surgery,41139.0,No,90.64,4810.0,2.85,78392.0,0.47,57.17 +13473,Nigeria,2013,Hypertension,Cardiovascular,5.25,5.66,4.27,19-35,Other,607129,85.45,3.08,2.63,Vaccination,25323.0,Yes,65.78,2396.0,5.52,44349.0,0.43,63.12 +13477,Russia,2020,Parkinson's Disease,Genetic,7.75,5.03,3.41,0-18,Male,352464,93.34,3.67,4.55,Surgery,32594.0,Yes,80.17,1685.0,6.4,57425.0,0.66,51.12 +13478,South Africa,2016,Dengue,Cardiovascular,14.33,8.5,6.67,0-18,Male,322880,97.51,2.63,0.55,Surgery,21942.0,No,87.32,3582.0,0.91,58297.0,0.75,71.96 +13495,Canada,2004,Alzheimer's Disease,Parasitic,18.68,4.51,2.15,36-60,Male,371555,53.91,0.64,3.98,Medication,43591.0,No,85.72,3376.0,5.24,75134.0,0.57,56.36 +13496,Japan,2011,Influenza,Chronic,2.8,1.16,5.54,36-60,Other,532999,50.11,2.42,3.57,Medication,19018.0,Yes,54.17,2560.0,0.5,69327.0,0.71,36.52 +13500,USA,2021,Parkinson's Disease,Autoimmune,14.36,5.03,3.54,19-35,Male,261293,77.71,0.7,3.13,Therapy,33415.0,Yes,94.66,1957.0,2.9,70160.0,0.42,60.57 +13504,USA,2018,Hypertension,Infectious,4.89,10.37,2.7,19-35,Other,882676,73.11,3.83,2.4,Surgery,40877.0,No,69.89,2713.0,5.03,98727.0,0.81,73.88 +13506,Turkey,2016,Polio,Neurological,4.04,5.99,9.57,19-35,Male,888547,51.77,2.6,7.58,Surgery,22541.0,Yes,55.61,4534.0,9.75,74676.0,0.76,59.27 +13507,South Africa,2013,Hepatitis,Respiratory,7.31,9.39,7.29,36-60,Other,934720,92.66,2.66,1.97,Surgery,16980.0,No,87.78,4119.0,4.56,16848.0,0.41,28.11 +13516,Australia,2007,Cholera,Genetic,7.35,9.27,2.31,19-35,Other,817078,82.81,2.86,4.51,Medication,43240.0,Yes,92.24,632.0,7.84,49729.0,0.8,28.02 +13521,South Africa,2004,Cancer,Chronic,7.88,9.97,4.22,61+,Male,927898,70.9,2.12,8.93,Vaccination,19626.0,No,90.16,4828.0,1.0,72606.0,0.8,50.52 +13526,Japan,2000,Influenza,Genetic,1.88,4.38,3.68,61+,Other,894646,98.29,3.43,8.79,Medication,34663.0,No,80.59,833.0,3.79,32654.0,0.7,34.53 +13527,USA,2006,Cancer,Bacterial,14.33,2.67,1.27,0-18,Male,590482,86.52,1.98,5.34,Surgery,41793.0,Yes,98.93,1415.0,7.54,26039.0,0.82,32.0 +13528,China,2006,Malaria,Chronic,3.71,0.8,4.13,61+,Male,695821,82.77,2.94,2.27,Therapy,3165.0,Yes,79.81,3672.0,5.52,48429.0,0.47,66.27 +13529,Japan,2012,Measles,Cardiovascular,17.3,6.38,4.91,61+,Female,591271,56.03,3.68,0.96,Therapy,30164.0,Yes,89.96,4876.0,4.61,34672.0,0.89,32.16 +13532,Nigeria,2013,Hepatitis,Cardiovascular,11.66,8.55,9.39,19-35,Male,551028,85.11,4.5,9.87,Therapy,33704.0,Yes,69.03,2740.0,9.52,77165.0,0.6,26.05 +13536,Germany,2023,Tuberculosis,Metabolic,3.28,11.3,0.32,0-18,Other,268711,92.82,1.57,6.06,Surgery,5930.0,Yes,92.71,4758.0,0.95,54458.0,0.57,30.83 +13541,Argentina,2017,Leprosy,Neurological,10.7,6.45,5.55,61+,Female,965125,55.8,1.87,5.6,Surgery,18069.0,Yes,67.99,483.0,8.53,1097.0,0.58,28.65 +13549,India,2003,Parkinson's Disease,Metabolic,19.35,8.04,4.13,36-60,Other,230499,60.57,3.96,3.6,Surgery,11088.0,Yes,60.23,3207.0,1.55,94017.0,0.88,46.57 +13554,Brazil,2008,Diabetes,Bacterial,18.69,4.82,3.18,19-35,Male,114065,89.14,2.1,1.78,Medication,45658.0,No,88.09,4598.0,3.76,21519.0,0.67,84.16 +13556,South Korea,2007,HIV/AIDS,Autoimmune,12.24,8.33,7.31,19-35,Other,179920,83.12,2.14,7.02,Therapy,24506.0,Yes,58.62,229.0,4.28,1394.0,0.45,45.45 +13557,India,2002,Parkinson's Disease,Chronic,2.03,1.66,2.16,36-60,Other,14355,76.88,1.99,2.58,Vaccination,14167.0,Yes,82.07,2613.0,0.84,27507.0,0.82,50.8 +13558,Russia,2023,Influenza,Bacterial,17.21,5.85,0.96,61+,Other,948307,56.09,2.87,7.77,Medication,39803.0,Yes,64.41,1534.0,5.19,44434.0,0.67,71.49 +13572,USA,2022,Cancer,Metabolic,3.41,11.94,1.21,0-18,Male,365488,50.12,3.04,0.95,Vaccination,2012.0,Yes,60.88,1195.0,9.66,61956.0,0.79,30.73 +13573,South Korea,2021,Influenza,Infectious,0.55,14.57,1.01,36-60,Female,127962,50.71,4.7,4.71,Vaccination,36367.0,No,57.61,195.0,0.52,82980.0,0.42,83.12 +13578,UK,2013,Polio,Cardiovascular,6.06,5.65,1.51,36-60,Female,303900,77.51,1.58,2.93,Therapy,16263.0,Yes,93.37,778.0,8.76,43081.0,0.86,51.57 +13582,South Africa,2012,Parkinson's Disease,Viral,1.01,2.98,4.99,36-60,Male,170680,85.36,2.06,8.45,Medication,41060.0,Yes,82.55,105.0,8.81,48783.0,0.54,69.02 +13591,South Korea,2012,Cancer,Viral,6.88,2.7,9.12,36-60,Other,897954,85.29,1.92,3.56,Medication,10641.0,No,70.6,4692.0,3.26,84056.0,0.62,83.55 +13594,Saudi Arabia,2009,Hypertension,Viral,1.55,14.47,6.06,61+,Female,350398,68.89,1.32,6.2,Vaccination,4348.0,No,80.16,856.0,2.19,15059.0,0.53,84.83 +13599,Indonesia,2011,Asthma,Chronic,4.2,3.74,4.97,0-18,Other,791403,63.69,1.05,8.83,Medication,5148.0,Yes,78.47,655.0,5.32,82568.0,0.73,83.22 +13605,South Korea,2021,Cancer,Autoimmune,9.73,8.96,5.42,36-60,Other,615134,68.12,2.85,4.72,Surgery,24574.0,Yes,51.98,4144.0,5.46,45324.0,0.56,64.72 +13620,Argentina,2001,Measles,Infectious,8.07,5.66,9.18,0-18,Other,906558,59.85,1.21,8.74,Vaccination,19289.0,Yes,69.46,3980.0,9.07,2657.0,0.59,52.44 +13627,Saudi Arabia,2010,Asthma,Parasitic,17.57,14.79,2.08,0-18,Male,557862,92.0,1.54,4.84,Vaccination,13156.0,Yes,89.14,2607.0,6.04,28197.0,0.73,35.58 +13634,Nigeria,2023,Cholera,Neurological,11.17,2.21,7.16,36-60,Other,472484,61.57,1.0,6.17,Therapy,3419.0,Yes,82.55,798.0,5.87,86476.0,0.57,36.39 +13635,USA,2021,HIV/AIDS,Autoimmune,9.75,7.27,6.19,61+,Other,503991,55.29,2.87,6.82,Medication,10369.0,Yes,79.9,2549.0,9.89,84595.0,0.67,64.29 +13646,Saudi Arabia,2011,Leprosy,Autoimmune,5.92,9.34,7.85,36-60,Other,197420,78.24,1.21,9.01,Vaccination,16959.0,No,70.46,1946.0,7.4,48866.0,0.42,82.64 +13650,Russia,2018,Hepatitis,Infectious,16.96,7.72,9.92,19-35,Female,31400,84.34,4.48,3.79,Surgery,34993.0,No,77.4,2013.0,9.15,34926.0,0.43,87.46 +13652,France,2015,Hepatitis,Neurological,14.07,1.0,6.86,19-35,Other,808369,53.66,4.6,9.99,Medication,47835.0,No,66.99,3143.0,1.44,47633.0,0.67,32.16 +13670,Saudi Arabia,2017,Asthma,Chronic,16.62,14.9,8.34,0-18,Other,346395,99.64,3.34,8.57,Medication,21318.0,Yes,91.93,1758.0,1.56,56189.0,0.66,24.4 +13671,Japan,2003,Cholera,Neurological,4.88,5.89,9.71,0-18,Male,144924,59.35,4.4,4.88,Therapy,39772.0,Yes,53.36,1593.0,2.11,97206.0,0.63,37.53 +13672,Indonesia,2009,COVID-19,Chronic,7.17,9.95,3.91,36-60,Male,408519,61.49,4.1,2.96,Surgery,28098.0,No,89.05,3510.0,1.47,98911.0,0.69,64.08 +13677,USA,2019,COVID-19,Viral,8.61,9.35,1.5,36-60,Male,652235,88.16,2.06,6.83,Medication,24131.0,No,77.35,1528.0,3.86,54834.0,0.71,64.3 +13690,Mexico,2006,Diabetes,Cardiovascular,5.5,7.03,3.06,19-35,Female,292648,92.88,3.13,2.24,Medication,13009.0,No,73.63,2183.0,4.02,42138.0,0.9,87.92 +13697,Nigeria,2000,Leprosy,Cardiovascular,6.2,6.68,1.93,36-60,Male,751621,75.32,1.48,4.54,Vaccination,7939.0,Yes,69.19,2169.0,5.11,94762.0,0.85,74.68 +13705,USA,2021,Ebola,Bacterial,11.12,13.91,2.14,61+,Male,969287,53.57,2.24,8.8,Vaccination,41179.0,Yes,71.53,51.0,0.57,59178.0,0.67,76.28 +13706,Brazil,2012,Diabetes,Parasitic,1.2,2.58,3.35,36-60,Female,386625,58.41,1.28,8.52,Vaccination,25923.0,Yes,95.34,405.0,9.08,84526.0,0.67,63.41 +13716,France,2021,Parkinson's Disease,Parasitic,16.91,3.98,3.15,0-18,Other,223367,73.49,2.28,2.14,Medication,38225.0,Yes,95.06,1241.0,4.7,45685.0,0.72,38.49 +13724,China,2018,Zika,Parasitic,19.36,3.8,7.45,61+,Female,173994,68.55,0.63,8.71,Therapy,27949.0,No,69.62,199.0,6.66,45280.0,0.9,77.61 +13727,Nigeria,2009,Ebola,Respiratory,1.81,1.35,6.27,0-18,Female,210472,75.62,4.83,4.94,Therapy,25666.0,No,72.87,3667.0,5.17,64687.0,0.84,44.89 +13733,USA,2011,Cancer,Metabolic,8.92,7.36,7.92,19-35,Other,163634,85.86,2.78,0.83,Medication,2806.0,Yes,67.04,3162.0,9.98,81468.0,0.42,52.39 +13754,Indonesia,2013,Malaria,Bacterial,3.08,10.02,2.45,61+,Male,9046,61.17,2.57,7.33,Medication,19831.0,Yes,98.09,197.0,9.62,37669.0,0.86,56.11 +13759,Argentina,2003,Leprosy,Autoimmune,12.2,14.97,7.48,61+,Male,114566,53.46,1.22,6.93,Vaccination,30627.0,No,57.18,3652.0,5.25,30294.0,0.61,57.05 +13771,South Korea,2009,Malaria,Parasitic,2.42,2.39,8.77,19-35,Male,748064,94.7,4.41,9.83,Vaccination,26822.0,No,93.88,68.0,8.79,38703.0,0.68,47.53 +13774,Brazil,2018,Diabetes,Viral,8.52,3.01,1.02,61+,Male,570158,91.93,3.09,5.68,Surgery,43492.0,No,92.99,3532.0,4.9,18011.0,0.48,61.8 +13779,USA,2003,Alzheimer's Disease,Viral,16.15,6.88,8.7,0-18,Male,108372,51.28,2.6,5.49,Vaccination,6745.0,No,93.75,2512.0,8.36,53023.0,0.54,59.07 +13785,Argentina,2013,Hypertension,Metabolic,19.85,8.74,1.92,19-35,Male,740451,67.82,3.13,3.69,Therapy,10905.0,No,63.06,4704.0,1.81,42197.0,0.48,31.97 +13789,South Africa,2010,Asthma,Viral,0.29,1.99,1.98,61+,Male,55538,84.84,2.68,8.09,Vaccination,28900.0,No,67.73,970.0,4.81,80017.0,0.66,46.0 +13796,Argentina,2007,Alzheimer's Disease,Viral,0.93,6.45,4.29,36-60,Other,566346,71.77,4.37,6.95,Medication,26385.0,No,64.69,2846.0,6.15,89340.0,0.89,41.13 +13797,India,2016,Cholera,Genetic,0.83,9.08,9.37,36-60,Female,874673,64.42,2.86,1.62,Surgery,48527.0,Yes,80.1,2833.0,7.86,82856.0,0.83,21.39 +13801,Canada,2005,Hepatitis,Parasitic,14.19,0.36,3.36,36-60,Female,471013,52.6,4.34,8.73,Therapy,21766.0,Yes,62.31,3287.0,9.63,45491.0,0.59,82.45 +13804,Mexico,2015,Polio,Cardiovascular,19.3,11.24,9.59,61+,Other,105975,92.99,2.79,7.67,Medication,43470.0,Yes,56.39,583.0,7.56,87915.0,0.52,29.53 +13805,Italy,2008,Leprosy,Metabolic,2.93,12.17,8.87,19-35,Female,923031,63.14,2.67,6.43,Surgery,8134.0,No,63.8,82.0,0.4,15004.0,0.72,54.49 +13808,Russia,2015,HIV/AIDS,Parasitic,2.71,3.86,6.13,61+,Female,426529,91.5,2.17,5.62,Medication,3176.0,Yes,92.93,4517.0,6.83,59019.0,0.9,59.07 +13810,Argentina,2024,Rabies,Metabolic,0.33,3.11,2.49,61+,Male,496324,73.1,1.99,2.1,Therapy,43319.0,No,88.98,3466.0,8.25,74295.0,0.69,82.83 +13814,Turkey,2024,Influenza,Parasitic,9.64,1.49,6.47,61+,Male,297957,80.65,0.97,8.0,Therapy,30331.0,Yes,71.22,537.0,9.09,47316.0,0.82,48.5 +13817,France,2024,Rabies,Cardiovascular,17.12,7.54,3.76,19-35,Male,669468,81.04,2.3,3.15,Vaccination,28213.0,Yes,78.32,3088.0,4.62,41393.0,0.66,25.34 +13822,Turkey,2002,HIV/AIDS,Neurological,3.98,10.74,4.74,36-60,Other,999535,72.0,1.77,4.17,Vaccination,13659.0,No,98.94,814.0,4.11,3195.0,0.61,78.21 +13825,Italy,2004,Asthma,Metabolic,6.32,10.1,9.98,61+,Female,156788,78.23,2.18,6.79,Surgery,16397.0,No,94.16,316.0,9.39,30038.0,0.89,63.44 +13832,Japan,2003,Tuberculosis,Cardiovascular,18.1,9.35,0.55,61+,Male,938513,75.7,1.81,5.4,Vaccination,14258.0,Yes,51.71,2824.0,1.92,77909.0,0.67,89.31 +13841,Saudi Arabia,2001,Hypertension,Infectious,10.27,13.63,3.47,0-18,Female,451146,58.92,1.96,6.06,Medication,9587.0,Yes,58.06,2277.0,2.38,31793.0,0.71,66.6 +13855,France,2010,Dengue,Metabolic,14.41,0.74,4.06,36-60,Male,397814,60.46,1.43,4.17,Vaccination,8128.0,No,77.07,1670.0,1.36,47988.0,0.89,59.15 +13877,Canada,2021,Malaria,Infectious,0.46,5.92,7.53,61+,Female,939690,98.64,4.09,6.62,Vaccination,15513.0,Yes,64.21,2656.0,2.35,55818.0,0.81,82.51 +13879,Brazil,2022,Influenza,Infectious,8.27,8.46,9.82,36-60,Male,115975,99.66,2.42,9.93,Vaccination,17483.0,Yes,98.05,3156.0,2.74,27996.0,0.66,41.49 +13880,Indonesia,2009,Ebola,Infectious,3.15,0.52,6.73,19-35,Male,679404,91.84,2.73,1.91,Therapy,14412.0,Yes,61.99,1710.0,5.85,80464.0,0.89,88.55 +13884,USA,2003,Malaria,Respiratory,8.28,9.23,3.91,19-35,Female,886751,63.05,3.98,9.94,Vaccination,20529.0,No,87.83,4475.0,7.8,18865.0,0.51,55.39 +13886,South Africa,2022,Hypertension,Viral,15.23,13.18,8.81,19-35,Female,764777,55.42,4.44,2.16,Vaccination,8270.0,No,98.15,1661.0,6.53,83852.0,0.68,61.38 +13887,China,2020,Polio,Parasitic,12.85,4.0,6.51,36-60,Other,792985,53.04,3.14,9.4,Therapy,18854.0,No,98.05,2233.0,3.72,65405.0,0.84,68.32 +13891,Australia,2023,Influenza,Metabolic,7.15,7.78,6.9,19-35,Female,745303,76.0,1.3,8.07,Vaccination,14848.0,Yes,98.37,1656.0,2.56,51734.0,0.57,74.35 +13899,USA,2012,COVID-19,Chronic,9.82,1.44,7.92,0-18,Male,582043,77.29,1.73,4.74,Medication,42966.0,Yes,75.67,4219.0,4.23,3074.0,0.48,29.06 +13908,Saudi Arabia,2011,Rabies,Neurological,3.07,13.44,7.83,61+,Male,476192,77.76,2.48,6.05,Medication,14205.0,Yes,91.68,4575.0,6.5,60045.0,0.71,51.14 +13911,Indonesia,2014,Diabetes,Metabolic,9.17,3.62,6.92,0-18,Male,118917,85.73,4.83,9.05,Medication,47744.0,Yes,77.38,1118.0,6.38,61528.0,0.81,75.49 +13912,Australia,2012,Cancer,Neurological,17.95,2.25,6.99,36-60,Other,566388,70.04,1.52,1.09,Vaccination,18695.0,Yes,52.75,4466.0,3.13,56897.0,0.52,51.7 +13916,USA,2002,Dengue,Neurological,17.41,11.62,2.12,19-35,Other,832842,90.16,3.94,8.93,Therapy,37196.0,No,90.22,1936.0,0.45,83021.0,0.86,57.44 +13917,Australia,2010,Asthma,Respiratory,15.59,0.68,6.32,36-60,Other,216264,66.93,1.47,4.63,Therapy,12231.0,No,78.34,1881.0,9.43,2399.0,0.44,52.78 +13918,India,2007,Malaria,Respiratory,4.01,9.69,6.98,19-35,Female,862334,70.7,3.54,3.45,Therapy,42601.0,Yes,61.64,1798.0,0.84,70403.0,0.71,67.72 +13937,Brazil,2013,Alzheimer's Disease,Metabolic,15.57,0.52,7.66,61+,Male,529445,68.41,4.31,6.67,Therapy,10770.0,No,91.14,2056.0,9.64,86294.0,0.63,33.28 +13941,Italy,2009,Rabies,Chronic,11.6,0.35,4.58,61+,Male,471223,97.85,2.6,8.93,Therapy,47589.0,No,90.39,4992.0,9.26,49563.0,0.69,28.99 +13951,Japan,2006,Hepatitis,Genetic,18.61,14.61,8.59,19-35,Male,407131,87.38,2.92,6.95,Surgery,36768.0,Yes,89.97,213.0,0.21,37875.0,0.53,44.9 +13960,Indonesia,2009,Influenza,Infectious,15.45,11.15,2.31,36-60,Female,570661,97.69,0.94,3.39,Vaccination,47130.0,No,79.84,1586.0,9.3,2013.0,0.68,33.27 +13962,Canada,2019,Hepatitis,Chronic,19.37,11.52,5.79,0-18,Male,826732,89.85,4.45,2.66,Surgery,32393.0,No,93.12,2834.0,6.68,16476.0,0.73,76.84 +13963,Canada,2023,Influenza,Neurological,0.93,9.76,4.33,36-60,Female,459133,79.89,4.84,4.48,Medication,31957.0,Yes,74.38,3172.0,3.11,86746.0,0.61,84.85 +13967,USA,2012,Tuberculosis,Infectious,5.16,0.9,8.82,19-35,Female,400498,92.93,3.16,2.86,Therapy,37732.0,No,63.27,1664.0,4.63,85087.0,0.51,65.54 +13977,Japan,2003,Hypertension,Respiratory,8.3,7.3,1.85,36-60,Other,383761,93.88,1.28,9.22,Vaccination,31042.0,No,58.24,2722.0,4.65,1873.0,0.63,26.36 +13983,Canada,2021,Dengue,Autoimmune,16.55,5.31,4.08,61+,Female,289516,95.48,2.16,6.27,Vaccination,23569.0,No,65.92,2060.0,1.49,69045.0,0.6,67.39 +13987,Germany,2004,Parkinson's Disease,Chronic,16.85,3.85,2.99,61+,Male,692951,58.68,3.66,8.07,Medication,49997.0,Yes,72.75,483.0,3.09,9648.0,0.69,69.19 +13988,France,2015,Dengue,Bacterial,9.36,2.49,5.07,61+,Other,840314,93.5,1.7,3.01,Surgery,39277.0,No,90.48,1704.0,0.87,16839.0,0.59,77.15 +13991,Brazil,2002,Asthma,Autoimmune,0.88,12.41,7.4,0-18,Other,235510,94.67,2.87,8.49,Vaccination,27521.0,Yes,93.3,4699.0,3.16,85716.0,0.71,55.92 +14002,Argentina,2017,Zika,Infectious,3.66,2.45,4.09,36-60,Female,417783,92.51,2.4,5.66,Medication,18278.0,Yes,66.02,3985.0,3.76,10062.0,0.84,34.87 +14004,Mexico,2006,Cholera,Parasitic,17.55,11.83,3.09,0-18,Other,740006,69.51,4.61,7.45,Vaccination,10961.0,Yes,76.49,1688.0,6.53,28284.0,0.58,42.78 +14015,Nigeria,2003,Asthma,Metabolic,2.26,12.37,1.88,0-18,Female,691934,55.22,0.66,1.49,Vaccination,17796.0,Yes,97.19,3693.0,0.88,9806.0,0.68,79.04 +14017,Indonesia,2008,Influenza,Infectious,0.19,6.59,1.32,61+,Other,366767,71.2,2.73,4.38,Vaccination,12606.0,Yes,91.72,3452.0,5.71,23301.0,0.77,26.87 +14033,Brazil,2019,Cancer,Respiratory,7.51,10.34,2.11,36-60,Male,717077,72.56,2.56,0.88,Vaccination,3362.0,No,79.02,3394.0,7.89,44463.0,0.86,58.18 +14034,Japan,2024,Measles,Respiratory,10.07,9.93,3.34,0-18,Female,407706,86.23,3.8,0.89,Surgery,30132.0,Yes,58.12,3898.0,7.23,37787.0,0.72,24.54 +14037,Italy,2023,Zika,Viral,7.42,13.19,3.27,61+,Male,673976,57.99,2.5,2.14,Vaccination,36571.0,No,89.11,4439.0,8.38,70140.0,0.47,43.12 +14042,France,2012,Diabetes,Chronic,5.74,6.8,5.48,36-60,Male,698494,99.09,1.38,5.3,Medication,24725.0,No,94.07,872.0,9.57,43160.0,0.61,73.35 +14045,Brazil,2000,Hypertension,Metabolic,10.16,1.6,4.01,0-18,Other,419491,82.68,2.06,9.97,Vaccination,23960.0,Yes,97.67,1348.0,1.57,6802.0,0.58,21.97 +14051,India,2023,Tuberculosis,Neurological,13.74,1.24,7.63,19-35,Other,77994,81.2,2.36,4.69,Surgery,38353.0,Yes,50.74,3365.0,3.21,86831.0,0.62,61.13 +14053,Australia,2024,Measles,Metabolic,19.52,7.37,3.04,61+,Male,987975,51.85,3.53,2.22,Vaccination,44770.0,No,61.19,1616.0,3.85,59451.0,0.87,86.18 +14061,Turkey,2010,Hepatitis,Parasitic,10.8,1.6,0.29,36-60,Other,253782,82.25,0.7,9.57,Surgery,33434.0,No,78.0,2124.0,1.98,88297.0,0.45,64.69 +14067,Indonesia,2015,Ebola,Neurological,19.78,10.85,2.11,0-18,Female,563632,57.83,4.76,4.95,Medication,5138.0,Yes,80.81,1333.0,0.09,4300.0,0.69,41.04 +14071,Italy,2013,Parkinson's Disease,Infectious,16.54,4.05,0.81,36-60,Other,986132,50.05,3.5,4.83,Surgery,7465.0,Yes,80.74,3172.0,8.06,84169.0,0.84,64.45 +14075,Argentina,2014,Ebola,Neurological,11.35,2.32,1.35,61+,Female,799820,50.99,1.07,2.21,Therapy,34664.0,Yes,73.76,403.0,4.31,61215.0,0.72,84.69 +14078,France,2002,Parkinson's Disease,Infectious,4.4,11.61,3.22,61+,Other,13193,97.46,4.46,6.85,Surgery,1319.0,Yes,53.92,4524.0,9.15,29031.0,0.41,76.74 +14083,Mexico,2001,Diabetes,Neurological,18.74,4.46,0.84,36-60,Male,541646,88.0,4.54,6.3,Medication,45344.0,Yes,66.45,1927.0,8.97,90995.0,0.83,29.96 +14087,Canada,2019,Ebola,Chronic,4.75,14.23,7.57,19-35,Other,441744,63.6,0.68,4.96,Medication,42984.0,Yes,90.23,389.0,6.56,33904.0,0.65,32.38 +14089,Turkey,2022,Influenza,Viral,8.25,2.73,3.29,36-60,Male,362840,54.06,4.12,7.34,Surgery,48384.0,No,50.0,2225.0,8.43,17539.0,0.86,29.94 +14090,China,2024,Measles,Respiratory,7.29,10.36,8.23,0-18,Female,706867,87.03,3.33,3.4,Vaccination,49734.0,No,91.01,3292.0,0.07,96424.0,0.43,40.33 +14091,India,2022,Influenza,Bacterial,19.09,12.76,1.59,61+,Male,304112,51.12,1.74,3.21,Vaccination,27572.0,No,88.06,2333.0,0.57,11226.0,0.41,68.12 +14092,Brazil,2020,Parkinson's Disease,Respiratory,9.82,5.68,7.07,61+,Female,867875,89.72,1.09,3.83,Surgery,32200.0,Yes,98.89,4889.0,6.05,10986.0,0.9,82.95 +14094,UK,2017,Zika,Viral,18.36,7.38,3.97,19-35,Male,92441,58.88,2.89,1.98,Vaccination,46544.0,Yes,82.51,2661.0,2.81,8959.0,0.66,60.72 +14099,South Africa,2005,Rabies,Chronic,14.84,9.55,2.67,19-35,Male,948576,62.16,1.38,7.3,Therapy,24860.0,Yes,81.93,1.0,8.22,86973.0,0.45,57.51 +14102,Saudi Arabia,2001,Malaria,Parasitic,14.06,8.05,5.33,61+,Female,681895,57.27,1.54,9.13,Therapy,29828.0,No,79.74,1964.0,1.67,94173.0,0.64,62.25 +14104,Nigeria,2021,Diabetes,Neurological,18.65,12.36,1.59,19-35,Female,154867,90.39,2.53,2.95,Surgery,14686.0,Yes,98.66,634.0,5.3,64713.0,0.48,84.27 +14105,Russia,2015,COVID-19,Neurological,14.19,0.65,0.84,61+,Female,259327,56.91,4.41,3.46,Therapy,22364.0,Yes,59.63,4908.0,9.05,53706.0,0.47,51.19 +14107,Australia,2001,Hepatitis,Neurological,15.25,10.59,8.76,19-35,Male,149216,76.16,1.76,9.61,Medication,16926.0,No,67.61,1860.0,8.21,78269.0,0.82,60.92 +14114,Canada,2013,HIV/AIDS,Metabolic,3.81,2.37,0.58,19-35,Male,790393,77.83,3.66,3.29,Surgery,44610.0,Yes,81.04,2511.0,7.02,14530.0,0.75,26.9 +14117,Turkey,2008,Hepatitis,Cardiovascular,17.88,13.17,2.03,36-60,Other,921511,76.88,3.2,6.35,Therapy,26209.0,Yes,93.16,2623.0,8.4,38257.0,0.48,65.69 +14124,Argentina,2019,Measles,Neurological,10.81,0.19,8.24,36-60,Other,863126,85.83,4.08,4.5,Surgery,16658.0,No,62.67,84.0,5.76,82299.0,0.7,66.06 +14128,Argentina,2001,Influenza,Viral,11.5,13.01,7.3,36-60,Male,667731,84.99,0.57,8.88,Surgery,27188.0,Yes,98.99,1943.0,6.91,42819.0,0.49,52.51 +14131,South Africa,2021,Malaria,Chronic,9.6,13.92,3.15,61+,Other,696976,59.8,0.57,2.53,Medication,15178.0,No,89.1,534.0,4.31,56054.0,0.43,49.88 +14133,USA,2017,Cancer,Genetic,16.56,4.85,2.67,36-60,Other,673945,78.51,2.55,1.62,Vaccination,35166.0,No,61.19,2354.0,2.23,61056.0,0.67,44.62 +14144,France,2004,Alzheimer's Disease,Cardiovascular,18.46,8.66,6.59,36-60,Female,195789,80.02,1.14,3.86,Surgery,35993.0,Yes,64.77,4880.0,9.86,24458.0,0.79,33.17 +14161,Turkey,2015,Zika,Respiratory,10.66,12.48,8.42,19-35,Female,864398,89.6,0.97,6.64,Therapy,5696.0,Yes,96.52,547.0,4.45,34538.0,0.41,89.73 +14162,South Korea,2001,Hypertension,Genetic,11.43,3.76,7.93,0-18,Other,887640,98.05,1.94,7.06,Vaccination,1465.0,Yes,90.97,3391.0,1.25,52117.0,0.4,72.83 +14164,France,2002,Leprosy,Parasitic,6.15,4.47,9.08,61+,Other,243104,56.79,0.57,9.44,Medication,28156.0,No,63.37,1154.0,3.53,51603.0,0.62,47.81 +14173,Mexico,2006,Hypertension,Cardiovascular,18.3,3.22,5.54,61+,Other,167865,82.17,1.93,1.69,Therapy,29524.0,Yes,83.84,3502.0,6.64,23648.0,0.83,79.35 +14178,Argentina,2001,Dengue,Infectious,13.84,7.74,5.67,0-18,Other,837042,79.87,1.0,3.51,Medication,20061.0,No,89.86,2974.0,1.48,51043.0,0.57,56.28 +14179,France,2016,Asthma,Neurological,7.94,14.4,5.85,36-60,Male,214937,99.45,4.35,3.15,Therapy,48013.0,No,66.15,2933.0,3.0,45413.0,0.62,37.4 +14198,Brazil,2022,Polio,Parasitic,12.48,9.98,3.94,19-35,Male,364044,76.5,1.31,9.9,Medication,13165.0,Yes,77.06,4345.0,1.06,56499.0,0.57,28.06 +14203,South Korea,2001,Malaria,Viral,14.04,6.33,2.47,36-60,Other,393551,97.44,3.23,5.44,Medication,23626.0,Yes,70.52,2324.0,1.07,85091.0,0.67,83.46 +14208,South Korea,2002,COVID-19,Infectious,13.4,1.35,1.94,0-18,Male,227952,96.32,4.1,5.0,Vaccination,39577.0,Yes,58.95,3577.0,1.7,54377.0,0.83,71.02 +14213,China,2015,Influenza,Respiratory,0.76,2.16,1.18,19-35,Other,323205,54.78,2.41,4.87,Therapy,45316.0,Yes,82.98,865.0,6.89,26340.0,0.84,79.0 +14218,USA,2015,Ebola,Chronic,9.77,7.13,8.99,61+,Other,801136,77.04,1.88,7.07,Surgery,47390.0,Yes,95.02,4599.0,1.13,49696.0,0.6,49.21 +14221,Argentina,2007,COVID-19,Metabolic,2.74,14.82,5.04,61+,Other,846133,90.35,0.71,2.84,Medication,39743.0,No,79.15,3457.0,6.28,72717.0,0.7,47.13 +14239,Argentina,2016,Polio,Parasitic,3.19,7.47,6.62,0-18,Other,673845,98.02,2.0,6.63,Medication,10600.0,Yes,65.79,4307.0,1.13,83295.0,0.69,48.53 +14243,China,2017,Alzheimer's Disease,Parasitic,9.43,8.3,6.23,36-60,Female,347645,84.46,1.71,6.38,Vaccination,8472.0,No,54.05,2644.0,1.49,85919.0,0.58,39.91 +14244,Indonesia,2017,Polio,Infectious,2.12,12.59,1.51,0-18,Male,958101,94.09,1.24,4.66,Surgery,40175.0,No,56.49,1586.0,4.43,47882.0,0.41,45.36 +14246,USA,2014,Tuberculosis,Bacterial,5.7,9.07,5.63,61+,Other,506751,86.55,2.45,9.47,Vaccination,3631.0,Yes,62.66,1956.0,2.67,38501.0,0.67,72.22 +14254,Russia,2012,Zika,Cardiovascular,10.39,12.53,6.45,61+,Female,698479,71.23,4.04,7.1,Vaccination,48628.0,No,58.04,3891.0,1.9,36762.0,0.76,71.33 +14257,Italy,2015,Cholera,Genetic,0.75,4.36,9.94,36-60,Other,215121,64.02,1.85,1.88,Medication,36957.0,Yes,95.63,886.0,6.49,2856.0,0.82,66.09 +14259,Italy,2018,Polio,Infectious,9.08,8.72,9.7,61+,Other,218440,76.42,2.9,1.71,Vaccination,48104.0,Yes,51.07,2310.0,1.64,21016.0,0.66,34.28 +14260,UK,2001,Diabetes,Viral,9.88,0.89,4.6,0-18,Other,204436,52.36,2.93,6.82,Vaccination,42703.0,No,55.45,4241.0,1.14,62928.0,0.68,58.26 +14276,Turkey,2019,Leprosy,Metabolic,9.61,2.76,0.3,19-35,Female,920898,53.83,1.14,4.15,Vaccination,44881.0,Yes,86.05,729.0,0.82,24856.0,0.83,86.22 +14282,India,2014,Tuberculosis,Bacterial,12.14,13.78,0.38,19-35,Other,7019,72.41,3.51,4.67,Vaccination,22146.0,Yes,60.34,3764.0,5.96,65159.0,0.6,87.45 +14283,Nigeria,2014,Tuberculosis,Chronic,15.96,12.23,6.44,0-18,Other,493413,78.54,4.22,2.43,Vaccination,18109.0,No,58.9,869.0,1.38,59523.0,0.44,35.3 +14285,Argentina,2010,Cancer,Genetic,4.27,8.84,3.14,19-35,Female,464388,54.55,3.9,5.5,Therapy,45957.0,Yes,68.77,2156.0,1.13,20151.0,0.84,60.85 +14286,South Africa,2006,Cancer,Autoimmune,10.25,10.97,3.71,36-60,Male,286527,73.29,2.63,1.56,Therapy,6047.0,Yes,61.8,3454.0,8.87,6716.0,0.43,23.63 +14295,Italy,2009,Hepatitis,Genetic,7.81,9.64,3.86,61+,Female,286720,92.42,2.43,4.31,Vaccination,34622.0,Yes,83.22,3885.0,0.53,11486.0,0.52,39.32 +14299,South Korea,2021,Measles,Respiratory,9.27,7.44,1.1,0-18,Female,165869,69.88,3.01,3.61,Medication,24122.0,No,59.99,4609.0,2.94,50722.0,0.48,37.76 +14301,France,2016,Cancer,Metabolic,9.87,11.52,9.89,61+,Other,296959,84.14,3.58,1.16,Therapy,8299.0,Yes,93.16,2732.0,4.37,99294.0,0.72,27.06 +14307,USA,2011,Hepatitis,Respiratory,18.13,6.34,8.96,36-60,Other,104403,95.1,1.09,8.31,Therapy,28234.0,Yes,67.37,2646.0,4.13,61280.0,0.87,27.15 +14312,Australia,2012,Influenza,Parasitic,7.43,3.59,6.03,36-60,Other,373100,96.48,0.92,8.57,Surgery,14725.0,No,52.44,4812.0,6.2,90869.0,0.58,39.8 +14316,Germany,2001,Alzheimer's Disease,Viral,16.8,3.72,3.35,0-18,Male,6392,79.86,2.84,1.88,Vaccination,48189.0,Yes,65.62,3396.0,9.03,38839.0,0.85,77.71 +14333,Argentina,2020,Cholera,Respiratory,4.27,3.59,1.4,36-60,Other,809262,75.64,1.81,7.28,Vaccination,40754.0,Yes,87.68,2705.0,3.89,59901.0,0.6,21.8 +14334,Indonesia,2010,Cancer,Chronic,18.54,3.61,5.33,61+,Male,815171,61.7,2.43,7.26,Medication,13135.0,Yes,57.35,2128.0,5.87,81485.0,0.54,66.97 +14335,France,2018,COVID-19,Chronic,12.53,9.71,7.0,0-18,Female,361602,91.55,2.03,8.85,Medication,22115.0,No,80.28,3175.0,8.48,37707.0,0.8,50.88 +14336,South Africa,2014,Rabies,Neurological,0.63,6.1,3.42,36-60,Male,153376,70.01,4.88,3.18,Surgery,31438.0,No,52.99,1859.0,9.6,41679.0,0.89,89.05 +14337,Germany,2011,Malaria,Chronic,7.9,5.07,7.4,19-35,Other,671090,85.85,1.26,1.1,Medication,43973.0,No,58.51,1152.0,0.15,60363.0,0.86,72.01 +14339,Mexico,2002,Hypertension,Viral,5.29,6.72,8.91,36-60,Male,589869,52.57,3.2,6.39,Therapy,3918.0,No,61.46,2755.0,2.08,28998.0,0.72,37.29 +14348,France,2015,Tuberculosis,Neurological,3.16,10.12,1.46,36-60,Other,420543,54.71,2.48,5.16,Therapy,9956.0,No,68.87,2999.0,4.06,25065.0,0.47,81.76 +14355,Russia,2009,Zika,Metabolic,3.7,5.43,4.82,36-60,Male,373905,86.19,1.33,8.37,Therapy,5345.0,No,57.24,704.0,3.36,34609.0,0.8,59.01 +14372,Indonesia,2011,Zika,Bacterial,4.31,2.24,7.09,36-60,Male,287772,73.79,3.35,6.66,Therapy,36053.0,No,61.42,4330.0,9.16,81848.0,0.8,31.1 +14382,Italy,2011,Zika,Bacterial,1.17,7.05,0.81,36-60,Female,60993,85.23,4.88,3.14,Surgery,43538.0,Yes,81.32,4271.0,8.38,76560.0,0.58,21.1 +14389,Mexico,2000,Diabetes,Bacterial,12.71,2.45,6.97,36-60,Male,927926,75.04,1.65,0.88,Therapy,22034.0,No,73.57,1560.0,3.37,43758.0,0.42,55.28 +14396,Indonesia,2008,Asthma,Neurological,4.34,8.96,1.58,36-60,Male,381421,86.91,4.32,5.77,Medication,1590.0,No,82.0,3486.0,4.06,99137.0,0.64,51.01 +14403,South Korea,2008,Influenza,Respiratory,0.45,13.47,3.22,36-60,Male,772843,65.88,2.65,8.25,Therapy,11875.0,Yes,82.64,4253.0,4.58,36073.0,0.48,79.62 +14423,Brazil,2013,Ebola,Genetic,1.88,0.32,9.93,19-35,Male,933681,76.14,3.48,9.88,Surgery,31623.0,Yes,78.28,2836.0,0.22,97060.0,0.46,45.0 +14428,India,2023,Leprosy,Viral,15.34,5.96,4.75,61+,Other,839747,79.0,3.72,3.71,Vaccination,1536.0,No,86.26,1275.0,1.1,75194.0,0.71,74.12 +14436,Japan,2023,Rabies,Parasitic,16.34,11.96,6.21,0-18,Other,836352,68.83,3.54,0.87,Surgery,27792.0,No,63.3,3265.0,3.88,6515.0,0.86,66.59 +14442,India,2008,Rabies,Chronic,9.35,1.43,2.77,36-60,Other,776796,57.3,4.15,2.1,Surgery,27269.0,Yes,71.89,4346.0,8.78,99135.0,0.87,40.19 +14444,Australia,2007,Measles,Respiratory,19.07,6.96,4.93,19-35,Male,320512,68.58,3.79,8.41,Therapy,45768.0,Yes,73.45,2377.0,5.44,23235.0,0.6,22.0 +14445,Indonesia,2017,Dengue,Neurological,4.43,8.14,8.73,19-35,Male,111085,64.66,3.65,7.76,Therapy,32313.0,Yes,88.24,4326.0,9.47,3772.0,0.72,58.3 +14446,Australia,2000,HIV/AIDS,Cardiovascular,12.73,0.41,4.08,0-18,Other,622777,55.2,3.16,8.48,Therapy,47948.0,No,77.91,1454.0,5.82,25438.0,0.7,49.44 +14449,South Korea,2010,Measles,Cardiovascular,13.7,7.99,4.56,0-18,Male,99146,62.33,4.39,4.0,Surgery,19208.0,No,93.99,2917.0,4.27,93274.0,0.9,59.2 +14459,South Korea,2004,Influenza,Neurological,1.95,1.29,0.67,61+,Male,300375,90.07,0.65,7.33,Medication,38947.0,No,54.88,4549.0,0.46,75903.0,0.89,21.97 +14463,South Korea,2010,Cholera,Infectious,10.01,14.95,4.6,36-60,Male,234179,57.08,1.18,6.5,Medication,31705.0,No,59.49,1850.0,8.53,66147.0,0.44,44.74 +14465,Mexico,2000,Tuberculosis,Viral,4.5,0.33,6.01,36-60,Other,114621,94.9,2.36,6.17,Therapy,31362.0,Yes,54.12,4649.0,8.8,51268.0,0.88,52.79 +14466,Russia,2019,Hepatitis,Infectious,17.15,4.52,4.58,19-35,Other,390816,66.03,0.83,5.24,Medication,37623.0,No,69.95,3564.0,4.74,14984.0,0.82,77.48 +14480,Australia,2007,Hepatitis,Respiratory,11.31,12.83,4.64,61+,Female,224445,64.42,1.84,7.84,Therapy,21102.0,Yes,89.46,2331.0,6.11,32511.0,0.5,85.83 +14495,UK,2008,Dengue,Respiratory,14.7,4.2,4.01,0-18,Other,127189,97.35,1.02,3.88,Medication,6415.0,No,73.82,1243.0,4.42,23015.0,0.6,48.28 +14498,Russia,2013,Alzheimer's Disease,Metabolic,10.24,8.48,1.74,19-35,Male,770049,86.05,3.51,0.94,Surgery,15288.0,Yes,63.9,3771.0,8.76,98424.0,0.53,43.41 +14514,China,2009,Asthma,Metabolic,10.36,12.11,5.84,0-18,Other,372923,72.06,2.9,9.38,Vaccination,15902.0,No,50.62,4048.0,1.1,29661.0,0.87,35.0 +14527,Russia,2010,Measles,Neurological,0.29,10.63,5.41,19-35,Other,382022,57.73,0.82,9.33,Surgery,31115.0,Yes,82.65,659.0,5.34,90012.0,0.89,21.92 +14530,USA,2015,Hypertension,Respiratory,2.03,4.03,4.59,36-60,Male,156099,95.74,1.55,2.65,Surgery,30319.0,No,66.54,1736.0,9.38,31391.0,0.79,83.02 +14533,Nigeria,2015,COVID-19,Cardiovascular,11.51,7.12,1.76,19-35,Male,808936,52.53,0.71,4.22,Medication,44545.0,Yes,89.95,3359.0,7.43,80624.0,0.55,82.24 +14546,Argentina,2003,COVID-19,Metabolic,18.66,11.92,2.65,36-60,Other,438662,91.53,4.56,9.15,Surgery,2427.0,No,69.85,2789.0,7.04,8531.0,0.89,36.62 +14547,Russia,2004,Zika,Infectious,2.79,13.86,0.42,61+,Male,523676,92.31,2.85,3.46,Medication,32424.0,No,54.88,758.0,3.26,12184.0,0.78,46.74 +14548,India,2005,Zika,Neurological,14.45,11.93,7.06,19-35,Male,129205,53.78,0.94,1.89,Therapy,13490.0,Yes,96.13,2831.0,5.81,20819.0,0.67,72.88 +14550,Turkey,2010,Hepatitis,Infectious,3.16,3.25,7.89,36-60,Male,691492,74.34,1.18,7.98,Therapy,37683.0,Yes,66.55,2384.0,1.59,92154.0,0.47,84.18 +14554,South Africa,2014,Rabies,Parasitic,8.62,2.94,3.74,36-60,Female,643596,85.52,1.6,3.54,Therapy,47611.0,No,90.06,1099.0,1.22,47941.0,0.74,42.02 +14562,Turkey,2020,Polio,Viral,17.32,11.02,4.08,61+,Female,428467,93.23,3.12,2.18,Vaccination,24250.0,No,71.87,4993.0,9.14,10024.0,0.42,88.88 +14563,Nigeria,2004,Diabetes,Cardiovascular,0.68,8.85,7.05,0-18,Male,335106,91.67,4.11,2.64,Surgery,17586.0,No,53.98,643.0,9.41,28164.0,0.76,48.46 +14570,Germany,2020,Tuberculosis,Viral,8.71,2.34,0.24,36-60,Other,529482,82.8,3.07,5.78,Medication,49081.0,Yes,83.14,4864.0,9.52,30191.0,0.76,65.57 +14574,India,2020,Dengue,Viral,5.29,12.95,9.84,36-60,Male,140662,91.55,4.2,0.88,Surgery,23755.0,Yes,54.96,2721.0,2.3,77312.0,0.65,25.69 +14580,Indonesia,2022,Zika,Viral,5.68,1.83,6.36,61+,Male,572983,99.78,4.59,4.91,Medication,47059.0,Yes,60.63,3245.0,5.52,72002.0,0.85,50.54 +14582,UK,2015,COVID-19,Cardiovascular,0.55,14.79,0.12,61+,Female,248740,99.9,3.25,5.28,Vaccination,34186.0,No,60.14,2220.0,5.97,57288.0,0.73,49.66 +14587,Argentina,2010,Parkinson's Disease,Infectious,2.58,4.26,7.48,0-18,Male,316459,79.84,4.52,2.69,Therapy,19418.0,No,74.28,3319.0,9.65,38044.0,0.49,24.46 +14588,India,2010,Ebola,Bacterial,11.17,5.9,6.16,61+,Other,886830,77.71,1.29,2.23,Surgery,33404.0,Yes,81.13,1475.0,6.6,40366.0,0.7,37.58 +14592,France,2012,Ebola,Cardiovascular,18.9,13.4,3.27,0-18,Female,342710,78.58,2.08,5.56,Therapy,35992.0,Yes,58.72,3750.0,5.5,64202.0,0.88,43.88 +14598,Germany,2001,Parkinson's Disease,Parasitic,14.29,10.4,1.58,0-18,Male,31644,51.06,4.96,2.05,Medication,14112.0,No,82.65,2502.0,9.62,2009.0,0.43,82.71 +14599,South Korea,2006,Leprosy,Chronic,1.88,6.38,8.21,61+,Other,483232,99.07,3.94,2.81,Medication,13191.0,No,62.78,3334.0,6.72,94924.0,0.62,40.13 +14600,Indonesia,2009,Asthma,Respiratory,0.38,4.24,7.65,36-60,Male,581159,82.17,1.39,2.19,Medication,38984.0,No,84.43,2388.0,3.5,70366.0,0.64,73.32 +14601,Australia,2000,Alzheimer's Disease,Bacterial,4.84,6.18,7.52,0-18,Other,11189,50.74,4.2,7.42,Vaccination,34301.0,Yes,92.11,860.0,6.66,28722.0,0.59,55.45 +14606,Italy,2024,COVID-19,Parasitic,3.72,14.52,6.57,36-60,Other,314599,50.93,2.14,0.98,Vaccination,36887.0,No,56.46,342.0,6.14,75492.0,0.58,49.06 +14609,Canada,2020,Ebola,Autoimmune,15.04,5.74,2.63,36-60,Other,982158,57.16,2.12,6.6,Medication,4694.0,No,80.76,1089.0,1.48,73957.0,0.54,69.04 +14614,Mexico,2014,Parkinson's Disease,Bacterial,7.64,2.13,9.03,61+,Male,165702,73.47,0.69,7.0,Medication,3028.0,Yes,60.38,1000.0,2.62,88358.0,0.45,52.44 +14628,USA,2007,HIV/AIDS,Neurological,7.42,8.77,0.33,61+,Female,822920,55.07,4.39,4.31,Therapy,29879.0,Yes,79.23,1746.0,8.72,19906.0,0.77,28.7 +14631,Russia,2018,HIV/AIDS,Autoimmune,5.57,14.98,0.39,19-35,Female,181999,75.42,4.93,3.78,Surgery,49372.0,No,81.99,675.0,3.74,30232.0,0.45,40.18 +14640,Australia,2003,Hepatitis,Genetic,15.71,0.95,7.36,19-35,Male,451054,67.75,2.28,9.27,Surgery,49259.0,Yes,57.49,2772.0,4.03,67544.0,0.43,21.35 +14642,UK,2002,Diabetes,Neurological,12.07,10.99,2.09,0-18,Other,471189,64.51,4.03,8.38,Therapy,44554.0,Yes,83.64,470.0,1.5,96394.0,0.63,81.97 +14645,Germany,2004,Zika,Respiratory,2.15,2.56,2.65,36-60,Male,987952,87.87,2.05,9.52,Medication,47014.0,Yes,54.92,1886.0,4.97,77741.0,0.85,75.1 +14650,UK,2023,Cholera,Infectious,19.23,11.35,9.47,19-35,Male,246635,59.53,2.34,7.62,Vaccination,2135.0,Yes,77.92,3662.0,1.37,36988.0,0.51,29.2 +14671,Japan,2004,Leprosy,Autoimmune,2.28,7.04,5.24,0-18,Male,798681,92.88,3.22,7.52,Vaccination,3564.0,Yes,70.72,2835.0,1.93,70161.0,0.75,84.19 +14673,Japan,2024,Parkinson's Disease,Infectious,2.71,0.76,2.44,61+,Female,755591,52.21,1.81,2.46,Therapy,43339.0,No,72.57,3964.0,3.54,2615.0,0.89,53.68 +14679,Japan,2015,Alzheimer's Disease,Chronic,2.31,0.48,4.42,36-60,Female,721776,93.72,2.76,9.32,Surgery,18417.0,Yes,94.57,1499.0,4.76,53479.0,0.65,60.11 +14707,Japan,2007,Leprosy,Viral,7.16,8.11,9.67,61+,Male,984534,68.78,1.84,3.92,Surgery,3130.0,No,50.59,402.0,2.74,81250.0,0.72,48.41 +14709,Canada,2008,Influenza,Respiratory,10.68,14.68,6.89,19-35,Female,664426,89.72,2.33,2.99,Surgery,978.0,No,87.97,2722.0,8.35,28937.0,0.79,36.5 +14711,Japan,2024,Polio,Infectious,11.47,9.77,8.44,61+,Other,371881,51.14,1.79,3.33,Vaccination,21115.0,No,92.84,1438.0,4.46,5511.0,0.71,82.85 +14722,USA,2019,Cholera,Parasitic,11.01,4.0,3.65,19-35,Other,900178,60.74,4.68,9.22,Surgery,23353.0,No,64.58,3539.0,4.28,81094.0,0.77,42.58 +14723,Mexico,2009,COVID-19,Metabolic,17.66,9.48,9.38,19-35,Male,184966,63.98,2.2,2.36,Surgery,41194.0,Yes,64.61,4202.0,9.58,49756.0,0.68,85.86 +14732,Mexico,2011,Measles,Genetic,0.66,13.42,8.88,61+,Male,404981,60.86,1.9,6.64,Medication,32380.0,No,60.55,837.0,2.31,45111.0,0.61,26.06 +14735,South Africa,2006,Dengue,Respiratory,16.17,7.99,3.35,61+,Other,173047,81.7,2.9,3.25,Surgery,24450.0,No,54.06,1183.0,4.58,8680.0,0.65,45.38 +14742,South Korea,2001,Zika,Metabolic,14.26,10.33,9.01,0-18,Male,794618,88.87,0.8,5.03,Therapy,24468.0,Yes,74.02,4150.0,7.17,78010.0,0.68,21.33 +14744,Russia,2015,Diabetes,Genetic,17.08,6.56,1.78,61+,Male,773232,55.25,2.97,9.97,Therapy,15619.0,Yes,80.6,4842.0,9.41,72734.0,0.73,37.62 +14747,Argentina,2012,Hepatitis,Infectious,13.81,10.14,0.72,36-60,Other,958106,90.97,4.4,1.44,Surgery,6100.0,No,94.05,483.0,7.5,43949.0,0.8,33.43 +14764,Indonesia,2001,Ebola,Bacterial,7.85,6.11,6.05,19-35,Other,758263,77.68,2.42,2.54,Vaccination,26334.0,Yes,96.14,2417.0,7.25,15113.0,0.81,28.03 +14776,Saudi Arabia,2008,Influenza,Viral,15.85,5.1,5.99,61+,Male,721635,60.63,4.94,8.24,Surgery,8691.0,No,83.56,4234.0,4.21,18369.0,0.47,68.23 +14786,Indonesia,2019,Hepatitis,Autoimmune,15.07,14.03,7.68,19-35,Other,441680,55.7,2.04,8.6,Therapy,45202.0,Yes,80.0,2557.0,3.47,60290.0,0.71,85.15 +14789,Brazil,2013,Measles,Neurological,13.3,13.68,2.85,61+,Other,500290,74.12,2.11,6.99,Medication,38294.0,No,85.82,209.0,3.21,77863.0,0.4,41.95 +14792,Germany,2001,HIV/AIDS,Viral,6.71,5.85,1.26,36-60,Other,173095,91.41,1.23,1.07,Therapy,36885.0,Yes,82.26,2448.0,0.23,3277.0,0.66,29.1 +14801,Germany,2016,Measles,Autoimmune,18.85,3.77,8.89,0-18,Female,203954,62.62,1.17,1.48,Medication,31928.0,Yes,75.76,4544.0,0.05,94379.0,0.9,24.39 +14809,Turkey,2010,Dengue,Genetic,8.22,5.34,1.92,19-35,Male,970605,94.66,1.17,3.15,Therapy,39946.0,Yes,76.67,2852.0,7.44,23638.0,0.45,77.61 +14815,USA,2004,Influenza,Genetic,4.63,7.66,3.0,61+,Female,207948,80.78,4.47,1.42,Surgery,17361.0,No,81.28,774.0,5.06,90209.0,0.57,22.61 +14826,USA,2002,Tuberculosis,Infectious,8.27,4.65,8.02,61+,Female,287169,92.41,2.72,6.55,Surgery,26654.0,Yes,94.43,2471.0,2.77,69460.0,0.63,63.1 +14829,Germany,2007,Measles,Cardiovascular,16.96,13.95,2.37,36-60,Female,337541,71.33,4.74,5.07,Therapy,30892.0,Yes,60.22,2030.0,3.33,46004.0,0.52,56.95 +14830,Russia,2000,Cholera,Infectious,9.35,1.33,9.72,0-18,Female,713714,60.1,4.12,4.26,Medication,34834.0,Yes,67.77,594.0,3.97,81383.0,0.53,82.28 +14831,Japan,2022,Influenza,Viral,12.12,14.95,5.49,0-18,Male,96036,68.32,3.19,8.57,Therapy,28920.0,Yes,82.4,494.0,4.42,64397.0,0.88,43.22 +14832,Canada,2013,Alzheimer's Disease,Metabolic,16.59,8.94,8.15,61+,Female,214988,75.57,4.28,5.43,Surgery,791.0,No,71.16,2052.0,2.2,26895.0,0.75,40.68 +14840,Japan,2003,Tuberculosis,Infectious,15.41,14.12,1.16,0-18,Male,693651,87.37,0.89,3.74,Medication,12335.0,Yes,72.78,3349.0,3.92,40688.0,0.82,89.24 +14843,Brazil,2010,Leprosy,Cardiovascular,16.19,13.73,2.45,19-35,Female,483265,90.06,3.75,1.68,Therapy,9382.0,No,86.32,4748.0,0.78,77149.0,0.42,74.34 +14850,Nigeria,2004,Cancer,Genetic,10.8,10.87,5.75,19-35,Female,54217,97.86,4.08,5.37,Surgery,33480.0,Yes,50.73,3089.0,5.25,45180.0,0.87,43.75 +14852,Turkey,2007,Polio,Chronic,18.58,6.04,1.93,36-60,Male,451613,77.96,2.87,9.8,Surgery,33641.0,No,70.42,2992.0,2.94,96852.0,0.63,25.25 +14858,Saudi Arabia,2021,Parkinson's Disease,Infectious,0.53,12.41,2.63,61+,Female,815149,54.04,4.23,2.4,Medication,8130.0,Yes,78.59,2227.0,4.04,71030.0,0.73,48.16 +14861,India,2007,Parkinson's Disease,Bacterial,4.09,1.18,4.44,0-18,Male,246609,94.32,2.32,8.67,Medication,10282.0,Yes,90.06,3544.0,4.8,84328.0,0.59,62.92 +14865,UK,2010,Parkinson's Disease,Cardiovascular,5.48,5.68,3.74,36-60,Other,376750,61.12,1.83,7.01,Therapy,8853.0,No,72.31,1213.0,5.85,43603.0,0.84,52.13 +14868,Mexico,2000,Alzheimer's Disease,Viral,14.81,2.68,6.95,36-60,Male,295668,65.75,3.18,2.56,Surgery,43428.0,Yes,85.62,3378.0,7.09,18597.0,0.44,30.93 +14873,South Korea,2003,Influenza,Genetic,10.41,3.08,1.3,0-18,Female,599139,85.14,1.31,9.39,Vaccination,41372.0,No,66.04,2165.0,7.64,97884.0,0.72,88.25 +14884,France,2024,HIV/AIDS,Parasitic,16.4,2.67,7.53,61+,Male,485881,80.33,0.55,2.94,Surgery,44354.0,No,88.77,4155.0,2.0,57339.0,0.86,54.34 +14885,UK,2007,Asthma,Infectious,7.26,9.55,3.18,0-18,Male,364867,92.59,2.55,8.51,Vaccination,1602.0,No,84.48,2612.0,8.71,56395.0,0.5,60.01 +14887,Italy,2010,Ebola,Viral,6.19,12.74,4.76,19-35,Male,984949,70.05,4.48,9.84,Therapy,18564.0,No,57.67,580.0,9.92,41873.0,0.68,35.26 +14889,South Africa,2002,Influenza,Neurological,6.4,10.88,5.33,61+,Other,150843,65.96,4.33,6.86,Surgery,34910.0,Yes,59.45,1942.0,8.47,45231.0,0.43,37.91 +14894,India,2003,Ebola,Viral,19.4,4.24,8.4,19-35,Other,609387,52.96,3.67,3.74,Therapy,38574.0,No,61.5,245.0,9.12,37962.0,0.57,41.49 +14896,Brazil,2021,HIV/AIDS,Autoimmune,19.87,7.92,0.2,0-18,Female,89645,55.46,3.45,7.88,Therapy,38012.0,No,66.24,4854.0,1.25,33890.0,0.44,89.62 +14906,Japan,2018,Diabetes,Metabolic,15.42,11.15,3.03,0-18,Other,897431,53.55,1.99,9.97,Vaccination,37809.0,No,91.38,1729.0,1.54,58083.0,0.85,48.37 +14916,Japan,2005,HIV/AIDS,Autoimmune,4.29,12.61,2.55,61+,Female,472112,69.44,4.38,1.01,Medication,43740.0,No,73.57,815.0,4.06,68725.0,0.87,68.19 +14917,Russia,2011,Hepatitis,Neurological,15.55,8.35,6.37,19-35,Other,110350,72.1,1.46,3.49,Surgery,35401.0,Yes,97.16,772.0,8.13,18407.0,0.87,57.39 +14918,Japan,2011,HIV/AIDS,Autoimmune,9.5,8.82,6.48,19-35,Other,273690,64.11,2.92,7.69,Medication,42329.0,No,85.47,199.0,3.1,77838.0,0.71,23.8 +14920,Indonesia,2005,Malaria,Autoimmune,18.82,4.6,6.44,36-60,Male,117433,97.3,2.3,8.76,Medication,30689.0,Yes,63.89,4151.0,2.81,36706.0,0.49,48.92 +14924,Argentina,2002,Hepatitis,Chronic,9.69,10.5,0.32,61+,Male,595259,89.66,1.9,8.68,Medication,48999.0,No,91.73,138.0,9.92,24848.0,0.59,44.14 +14927,Russia,2016,Rabies,Respiratory,17.41,10.41,8.84,0-18,Other,289815,50.94,3.94,1.14,Surgery,25195.0,Yes,92.74,2354.0,9.66,40877.0,0.48,66.4 +14931,Argentina,2011,Diabetes,Neurological,15.9,12.33,7.62,19-35,Male,817957,84.32,4.88,9.55,Vaccination,47838.0,No,68.28,1313.0,5.43,48729.0,0.59,55.11 +14939,Canada,2008,Hepatitis,Bacterial,8.41,13.24,7.97,0-18,Other,283922,50.19,3.01,4.29,Surgery,16192.0,Yes,81.51,3790.0,6.18,41212.0,0.82,77.16 +14946,South Africa,2013,Zika,Bacterial,4.06,8.64,5.64,36-60,Male,964770,69.32,0.74,4.0,Medication,6640.0,Yes,97.49,3491.0,2.91,93281.0,0.53,32.39 +14949,Mexico,2014,Parkinson's Disease,Chronic,4.55,13.12,8.85,36-60,Male,245505,51.92,1.06,4.27,Vaccination,28775.0,No,94.46,1725.0,1.54,82329.0,0.67,56.16 +14952,Mexico,2005,Asthma,Parasitic,19.69,6.57,1.81,19-35,Other,611656,69.57,2.32,4.25,Therapy,18075.0,Yes,95.12,1688.0,5.39,15743.0,0.6,52.82 +14953,Indonesia,2024,Alzheimer's Disease,Viral,6.04,12.21,0.53,61+,Male,892898,50.86,4.73,1.98,Vaccination,26644.0,No,96.05,668.0,8.75,72037.0,0.76,39.13 +14960,Saudi Arabia,2006,HIV/AIDS,Metabolic,12.51,11.41,1.35,61+,Female,276729,63.47,4.29,2.0,Medication,48568.0,No,68.78,2139.0,7.01,73502.0,0.49,60.7 +14961,Brazil,2009,Asthma,Bacterial,5.15,8.37,1.44,36-60,Female,286491,61.63,4.61,6.69,Vaccination,33339.0,No,84.74,497.0,10.0,84808.0,0.86,43.67 +14963,Argentina,2010,Hypertension,Autoimmune,11.49,12.33,4.49,36-60,Male,984743,69.31,4.9,1.1,Therapy,16105.0,No,77.89,3705.0,0.41,34905.0,0.7,79.81 +14966,Saudi Arabia,2024,COVID-19,Chronic,3.67,8.36,4.48,0-18,Other,459585,64.58,4.21,7.07,Surgery,9347.0,No,86.94,269.0,0.23,48904.0,0.75,57.42 +14971,South Korea,2021,Influenza,Neurological,9.75,7.14,4.76,61+,Other,83611,86.0,1.15,9.04,Vaccination,20277.0,Yes,73.07,4969.0,9.64,67900.0,0.84,76.84 +14972,Nigeria,2009,Hypertension,Chronic,10.99,6.46,2.21,61+,Female,936331,75.18,1.75,8.91,Vaccination,251.0,No,65.98,3545.0,0.08,51405.0,0.54,57.72 +14979,Mexico,2002,Leprosy,Infectious,5.33,1.3,7.41,61+,Male,52452,60.59,2.21,3.47,Therapy,45161.0,No,58.63,4671.0,2.9,70373.0,0.46,60.88 +14982,South Korea,2001,Polio,Respiratory,0.28,13.79,4.37,19-35,Other,712505,64.79,4.93,6.16,Medication,48441.0,Yes,56.92,157.0,5.15,21486.0,0.5,63.44 +14985,Nigeria,2004,Hypertension,Metabolic,0.42,4.06,0.94,61+,Male,173037,65.09,3.2,8.43,Therapy,45559.0,No,98.11,2270.0,4.44,81117.0,0.43,20.71 +14986,China,2005,HIV/AIDS,Metabolic,12.25,9.32,7.18,36-60,Other,390198,61.84,3.62,1.83,Surgery,9735.0,Yes,65.2,1956.0,8.26,78415.0,0.47,56.13 +14992,Turkey,2003,Dengue,Infectious,12.35,14.43,3.67,36-60,Other,501732,80.97,4.64,1.65,Therapy,20630.0,No,94.45,2719.0,1.56,62182.0,0.43,41.84 +14994,Saudi Arabia,2001,Dengue,Respiratory,5.49,13.07,9.35,0-18,Female,934614,70.68,4.13,3.4,Surgery,4420.0,No,77.87,272.0,7.27,9189.0,0.47,83.86 +14996,Indonesia,2004,Cholera,Parasitic,10.58,5.62,3.39,19-35,Male,914606,69.32,3.1,7.55,Surgery,20352.0,Yes,82.8,2896.0,8.43,5992.0,0.61,75.22 +14998,Indonesia,2002,Hepatitis,Infectious,7.15,2.99,6.13,0-18,Male,537286,62.39,1.41,1.95,Medication,21593.0,No,63.88,264.0,4.91,35930.0,0.85,69.7 +15009,Russia,2009,Cholera,Metabolic,9.43,11.76,3.82,0-18,Female,18046,72.61,2.92,1.31,Therapy,42063.0,Yes,67.84,1956.0,4.62,96526.0,0.77,64.33 +15011,France,2018,Rabies,Respiratory,5.17,14.12,1.08,19-35,Female,866727,74.8,3.82,3.19,Therapy,23821.0,No,68.87,1654.0,4.84,77865.0,0.78,65.23 +15013,Argentina,2006,COVID-19,Viral,12.14,9.66,6.0,0-18,Male,831539,88.12,0.53,6.17,Medication,47595.0,No,66.76,809.0,5.93,30635.0,0.45,33.79 +15019,Mexico,2020,Diabetes,Parasitic,14.31,14.75,0.44,36-60,Other,481807,86.58,1.59,8.81,Therapy,26135.0,No,68.55,706.0,5.1,86285.0,0.59,30.59 +15023,Canada,2012,Polio,Viral,14.1,10.62,8.49,61+,Other,654515,59.72,0.55,1.92,Vaccination,13091.0,Yes,70.83,2310.0,7.77,44528.0,0.48,76.91 +15025,Argentina,2006,Influenza,Genetic,16.33,5.61,9.58,61+,Male,961205,51.1,0.63,7.63,Therapy,13224.0,Yes,58.31,4973.0,4.24,30097.0,0.65,54.21 +15026,Russia,2009,Polio,Cardiovascular,4.64,3.46,1.52,61+,Other,642882,78.32,4.83,8.24,Vaccination,41605.0,Yes,60.37,4383.0,5.6,94358.0,0.77,88.39 +15031,Indonesia,2009,Influenza,Metabolic,3.81,10.52,2.62,19-35,Female,312422,81.15,3.22,1.39,Vaccination,44484.0,No,65.5,657.0,6.86,87658.0,0.61,57.42 +15036,South Africa,2000,Polio,Infectious,16.84,2.18,2.22,61+,Female,360760,67.23,0.97,8.74,Vaccination,40563.0,Yes,64.31,4442.0,8.99,96554.0,0.73,85.18 +15039,China,2011,Zika,Neurological,19.65,14.85,7.31,61+,Male,774083,61.51,0.78,7.14,Vaccination,48123.0,Yes,60.11,1386.0,5.72,91311.0,0.86,39.73 +15045,Canada,2002,Asthma,Parasitic,9.65,11.58,8.82,19-35,Female,109699,76.46,4.28,2.07,Vaccination,25135.0,No,51.46,3025.0,7.89,36094.0,0.62,60.09 +15051,Indonesia,2011,Dengue,Infectious,5.47,14.37,0.3,0-18,Male,210600,84.1,3.74,7.2,Medication,29074.0,No,70.9,4900.0,2.36,94722.0,0.87,82.72 +15059,Italy,2005,Polio,Infectious,5.03,4.65,0.36,0-18,Other,403905,93.13,1.74,8.25,Vaccination,32787.0,No,60.88,2493.0,3.89,94390.0,0.71,64.16 +15068,Argentina,2005,Tuberculosis,Viral,5.35,12.45,0.92,0-18,Male,568604,73.62,4.59,6.46,Medication,29783.0,No,65.36,4329.0,2.1,65671.0,0.85,59.43 +15076,France,2005,Diabetes,Respiratory,9.92,5.63,1.86,0-18,Other,928863,67.42,1.66,8.61,Surgery,20792.0,No,83.24,4391.0,0.35,98038.0,0.67,25.62 +15092,Indonesia,2012,Asthma,Metabolic,15.51,3.36,4.26,36-60,Female,400910,60.77,1.47,2.55,Surgery,16574.0,No,77.45,919.0,4.64,76839.0,0.68,71.53 +15094,Turkey,2008,Diabetes,Infectious,9.25,14.56,6.74,19-35,Other,981689,84.63,4.1,6.1,Medication,13918.0,Yes,65.52,1084.0,5.74,78781.0,0.71,72.3 +15095,Mexico,2007,Cholera,Metabolic,5.95,12.1,7.06,36-60,Female,75911,66.05,1.51,9.6,Therapy,39280.0,No,75.6,3273.0,3.26,44763.0,0.69,82.76 +15123,Japan,2018,Influenza,Viral,12.98,1.89,7.03,36-60,Male,867395,94.32,1.76,5.71,Surgery,2630.0,Yes,55.23,4023.0,5.19,95693.0,0.47,29.8 +15124,India,2006,Parkinson's Disease,Respiratory,19.61,12.87,8.88,36-60,Female,869035,71.03,0.91,2.62,Medication,31465.0,No,78.58,2861.0,7.58,75985.0,0.51,52.87 +15127,Brazil,2011,Tuberculosis,Genetic,13.92,1.24,2.85,61+,Male,105798,84.35,3.4,1.99,Vaccination,31960.0,Yes,90.85,4655.0,1.11,97887.0,0.62,63.25 +15128,USA,2001,Malaria,Neurological,11.07,11.36,7.52,19-35,Female,254428,55.4,0.7,5.17,Surgery,4020.0,Yes,65.25,4403.0,5.8,72773.0,0.66,34.2 +15140,Indonesia,2015,Leprosy,Infectious,17.54,10.57,8.15,61+,Female,542137,85.51,1.01,7.46,Medication,20259.0,Yes,50.11,2940.0,7.01,49485.0,0.81,74.35 +15141,Australia,2012,Hepatitis,Cardiovascular,16.6,6.51,5.35,0-18,Other,967360,78.6,0.83,7.65,Surgery,36326.0,No,90.43,3187.0,5.06,9282.0,0.43,62.57 +15143,India,2011,Cancer,Genetic,16.02,7.37,7.28,19-35,Female,973054,74.56,1.96,9.11,Therapy,1936.0,Yes,98.41,2657.0,3.3,8848.0,0.74,73.22 +15145,Brazil,2010,Measles,Autoimmune,15.76,11.67,6.87,61+,Male,884681,79.27,4.76,1.67,Therapy,30103.0,No,88.8,3394.0,0.19,36294.0,0.71,72.31 +15149,Indonesia,2001,COVID-19,Infectious,17.74,3.24,7.83,61+,Other,463004,98.71,2.24,6.17,Vaccination,9506.0,No,80.47,715.0,4.99,15957.0,0.73,54.2 +15151,France,2015,Parkinson's Disease,Neurological,8.69,8.79,4.97,19-35,Male,367968,55.71,2.29,4.15,Medication,44518.0,No,79.06,1836.0,1.77,66387.0,0.64,26.14 +15152,Mexico,2022,Zika,Bacterial,0.93,4.36,5.91,0-18,Female,893002,87.26,3.07,2.54,Medication,19500.0,No,72.66,100.0,5.08,80800.0,0.8,63.43 +15157,Germany,2002,Measles,Genetic,14.43,10.02,1.77,61+,Male,728252,86.28,1.7,9.68,Therapy,34177.0,No,54.95,2812.0,7.59,43500.0,0.63,55.32 +15159,USA,2005,Cancer,Autoimmune,5.64,9.9,7.78,61+,Female,859248,93.75,1.55,5.24,Surgery,28208.0,No,83.68,1236.0,1.54,12794.0,0.66,40.37 +15161,India,2002,Parkinson's Disease,Parasitic,14.21,9.48,3.07,61+,Other,838152,60.61,3.94,7.29,Vaccination,14793.0,Yes,58.9,1647.0,3.11,6633.0,0.67,89.66 +15165,Italy,2013,Cholera,Infectious,8.82,13.75,8.92,0-18,Male,42357,78.52,1.41,5.8,Vaccination,20141.0,Yes,70.87,2346.0,1.44,33640.0,0.53,31.47 +15168,Turkey,2007,Rabies,Metabolic,7.06,2.19,4.39,0-18,Other,134674,76.71,4.03,9.6,Surgery,14505.0,Yes,79.09,2228.0,1.44,80101.0,0.6,71.36 +15172,Mexico,2010,Dengue,Bacterial,7.02,7.9,7.27,0-18,Female,477097,57.75,1.93,4.79,Therapy,23665.0,No,69.52,1983.0,1.98,65052.0,0.6,38.02 +15183,France,2024,Hypertension,Parasitic,2.81,4.37,4.01,36-60,Female,151654,78.16,2.68,5.73,Vaccination,38499.0,Yes,58.31,1245.0,8.57,63744.0,0.75,31.66 +15191,UK,2024,Dengue,Neurological,12.72,13.47,8.78,36-60,Female,949630,74.42,1.28,6.91,Therapy,40833.0,No,74.25,1584.0,6.42,3401.0,0.6,73.61 +15195,South Africa,2007,Rabies,Infectious,14.61,5.76,6.5,61+,Female,482706,77.65,1.71,8.16,Vaccination,25086.0,Yes,80.13,4264.0,3.65,81991.0,0.49,53.97 +15197,China,2012,Parkinson's Disease,Bacterial,7.99,4.14,3.48,61+,Other,337129,50.73,3.04,5.36,Medication,20076.0,Yes,94.65,892.0,3.84,61103.0,0.7,21.13 +15199,South Korea,2019,Diabetes,Metabolic,0.3,1.91,7.88,0-18,Female,584380,60.0,0.65,6.76,Surgery,49955.0,No,68.22,1533.0,9.52,80979.0,0.53,43.94 +15205,Australia,2004,Alzheimer's Disease,Autoimmune,12.71,12.1,9.73,61+,Other,227233,93.83,4.26,3.54,Medication,48468.0,No,65.88,2292.0,3.98,42989.0,0.5,39.19 +15208,Mexico,2024,Alzheimer's Disease,Bacterial,19.97,2.97,3.94,19-35,Male,782358,58.78,1.18,3.16,Vaccination,3776.0,Yes,89.2,2793.0,3.51,45111.0,0.53,78.7 +15209,Russia,2020,Parkinson's Disease,Autoimmune,14.78,10.89,9.05,36-60,Other,902179,96.54,3.88,1.9,Medication,24318.0,No,62.17,2105.0,4.76,68411.0,0.46,23.2 +15212,Turkey,2002,Hypertension,Respiratory,5.2,5.73,2.6,0-18,Female,913587,62.43,3.61,8.86,Vaccination,19457.0,No,84.52,4442.0,3.21,83657.0,0.73,23.64 +15213,Argentina,2005,Hypertension,Infectious,6.77,6.2,2.92,0-18,Male,40674,94.34,2.92,9.71,Vaccination,25827.0,No,55.93,927.0,9.52,24737.0,0.44,85.64 +15221,Germany,2015,Alzheimer's Disease,Infectious,15.31,0.47,6.87,36-60,Male,765537,90.36,1.04,4.03,Medication,32735.0,Yes,69.52,4208.0,6.83,32701.0,0.81,35.55 +15225,Argentina,2016,Rabies,Cardiovascular,13.78,13.64,7.75,36-60,Female,674632,90.18,3.1,8.53,Therapy,40542.0,Yes,87.57,3636.0,9.43,92985.0,0.51,52.54 +15229,Germany,2012,Cholera,Cardiovascular,1.14,3.43,7.13,0-18,Other,28404,57.82,3.55,9.86,Therapy,48896.0,Yes,79.88,536.0,6.24,62861.0,0.52,88.9 +15235,Mexico,2023,Influenza,Bacterial,1.86,6.39,8.57,19-35,Other,709544,75.07,4.88,5.8,Therapy,22398.0,No,52.15,801.0,7.61,78587.0,0.41,50.08 +15244,Brazil,2005,Hepatitis,Infectious,12.49,2.36,9.56,61+,Male,528914,92.27,1.54,1.58,Therapy,47212.0,Yes,92.58,2046.0,2.89,73292.0,0.56,68.43 +15254,France,2004,Measles,Infectious,15.71,6.06,1.84,61+,Male,647926,86.31,1.48,3.97,Surgery,27513.0,No,79.99,4777.0,8.66,84928.0,0.73,30.05 +15258,Japan,2011,Measles,Metabolic,1.41,2.88,1.64,36-60,Female,124105,50.7,1.66,6.51,Therapy,30173.0,Yes,81.54,571.0,4.92,84742.0,0.49,51.59 +15262,UK,2001,Asthma,Chronic,17.71,8.03,3.21,19-35,Other,348556,99.96,0.75,5.15,Surgery,30954.0,No,58.2,2601.0,2.15,56664.0,0.73,35.13 +15285,Australia,2014,Leprosy,Bacterial,5.27,6.98,6.83,36-60,Male,432307,53.94,3.25,7.26,Medication,27692.0,No,77.09,2399.0,2.47,45706.0,0.64,76.15 +15290,Brazil,2002,Cancer,Viral,16.56,13.8,7.67,61+,Other,346461,61.66,4.06,9.98,Therapy,3401.0,Yes,61.34,4813.0,7.52,68334.0,0.75,32.56 +15291,France,2016,Zika,Viral,6.43,1.38,3.74,36-60,Male,285540,97.71,0.63,3.77,Therapy,38305.0,Yes,61.41,2094.0,2.39,81749.0,0.64,79.85 +15297,Argentina,2016,Ebola,Cardiovascular,19.03,13.9,2.25,61+,Female,506369,56.86,2.94,5.36,Medication,16481.0,Yes,68.97,3607.0,3.03,62648.0,0.76,85.31 +15302,Turkey,2020,Polio,Viral,3.04,8.86,2.62,0-18,Male,126466,91.44,3.43,6.61,Vaccination,23444.0,Yes,81.54,2708.0,9.59,65819.0,0.56,78.07 +15305,UK,2010,Hepatitis,Respiratory,18.5,8.82,0.25,36-60,Male,721361,85.72,1.7,4.03,Vaccination,6308.0,Yes,90.24,719.0,7.04,56100.0,0.41,54.37 +15312,Saudi Arabia,2019,Tuberculosis,Cardiovascular,13.39,13.12,6.07,19-35,Female,291009,89.73,3.3,3.49,Vaccination,24384.0,No,58.39,4301.0,5.89,96605.0,0.41,53.49 +15313,South Korea,2021,Diabetes,Viral,9.83,3.29,2.3,19-35,Other,8210,78.76,1.37,4.19,Vaccination,40910.0,Yes,97.13,3845.0,5.77,49031.0,0.79,81.99 +15317,Canada,2008,Asthma,Viral,1.86,2.76,3.07,19-35,Other,836217,71.01,1.93,6.83,Vaccination,48554.0,No,94.01,3191.0,7.01,96962.0,0.87,79.05 +15320,China,2022,Leprosy,Genetic,6.41,7.1,9.8,36-60,Female,184941,99.37,3.04,0.58,Therapy,43413.0,No,93.14,2060.0,4.63,63212.0,0.87,80.43 +15326,South Korea,2018,Asthma,Cardiovascular,19.31,3.6,1.19,0-18,Other,67050,60.92,3.46,4.5,Surgery,25557.0,No,78.39,4358.0,1.21,9546.0,0.69,79.76 +15331,Russia,2015,HIV/AIDS,Parasitic,12.79,4.59,3.01,0-18,Male,955242,88.59,4.29,5.25,Vaccination,21321.0,No,90.52,1568.0,6.33,45240.0,0.68,85.77 +15339,Italy,2016,Zika,Metabolic,17.52,14.3,8.32,36-60,Female,805196,57.91,2.67,3.35,Medication,29364.0,Yes,64.11,1891.0,8.76,19817.0,0.54,47.52 +15340,Canada,2019,Malaria,Viral,15.18,2.7,6.88,19-35,Other,280021,53.48,3.5,7.14,Surgery,44996.0,No,60.27,807.0,6.61,62440.0,0.85,24.58 +15345,China,2011,Polio,Respiratory,13.75,2.29,4.11,36-60,Other,618449,80.92,1.67,9.89,Surgery,23823.0,No,98.25,2823.0,4.77,59291.0,0.49,35.49 +15350,Argentina,2019,Zika,Metabolic,13.3,3.4,3.57,36-60,Female,710235,77.8,1.27,4.14,Medication,12880.0,Yes,90.91,1162.0,5.41,84172.0,0.76,31.1 +15360,South Korea,2003,Cancer,Bacterial,13.23,6.96,1.04,61+,Other,441469,76.89,4.28,9.17,Therapy,45331.0,Yes,72.73,3322.0,9.65,11857.0,0.68,71.49 +15362,Turkey,2004,Hypertension,Chronic,15.81,5.45,5.21,36-60,Male,164298,50.01,2.14,7.95,Surgery,33702.0,Yes,66.93,871.0,1.65,33828.0,0.87,48.95 +15374,China,2017,Leprosy,Cardiovascular,15.0,1.72,0.88,61+,Female,960034,87.94,4.66,8.86,Therapy,1896.0,No,91.88,2809.0,8.27,34198.0,0.41,50.66 +15377,Canada,2022,Dengue,Infectious,17.06,13.1,3.44,36-60,Other,432469,97.83,0.55,8.33,Surgery,44647.0,Yes,94.48,1223.0,1.26,12227.0,0.58,86.05 +15378,USA,2011,Alzheimer's Disease,Infectious,0.4,6.64,1.7,36-60,Other,301894,86.71,4.4,3.27,Therapy,23703.0,No,62.56,4349.0,4.73,16886.0,0.41,37.39 +15387,Nigeria,2012,HIV/AIDS,Cardiovascular,0.19,2.86,8.31,0-18,Male,668485,89.87,2.76,7.23,Surgery,14095.0,No,90.6,3051.0,2.69,43339.0,0.57,30.76 +15388,Japan,2006,Malaria,Respiratory,19.16,6.04,0.64,36-60,Other,25771,74.37,1.02,3.54,Medication,3324.0,Yes,95.59,4128.0,7.43,3735.0,0.44,82.74 +15397,Nigeria,2007,Parkinson's Disease,Infectious,9.68,1.42,6.68,19-35,Male,435221,98.0,3.76,3.25,Therapy,35487.0,No,74.77,4147.0,6.79,47336.0,0.69,80.11 +15398,South Korea,2015,Leprosy,Genetic,7.62,11.76,5.86,36-60,Female,348037,71.74,1.31,3.36,Therapy,43740.0,No,69.03,3397.0,1.62,74599.0,0.78,68.43 +15404,Argentina,2004,Hepatitis,Bacterial,7.37,6.57,8.93,19-35,Male,129803,95.18,0.81,8.15,Medication,18613.0,No,63.5,3041.0,3.5,74006.0,0.44,81.99 +15411,South Korea,2005,HIV/AIDS,Autoimmune,19.83,8.47,9.69,0-18,Other,600356,91.34,1.66,1.49,Surgery,11995.0,No,79.17,1031.0,1.19,49211.0,0.43,77.56 +15421,Saudi Arabia,2015,Asthma,Respiratory,12.24,7.74,3.43,61+,Other,961007,73.21,0.87,2.52,Vaccination,24952.0,Yes,91.37,2657.0,7.18,69813.0,0.66,35.08 +15422,South Korea,2023,Leprosy,Infectious,14.23,1.33,4.39,36-60,Other,275317,71.13,4.45,3.39,Medication,17413.0,No,96.71,4364.0,2.36,43283.0,0.88,70.73 +15426,Indonesia,2008,Measles,Genetic,18.06,7.38,2.78,19-35,Female,806237,57.51,2.27,6.33,Vaccination,18901.0,No,84.81,1161.0,0.39,66942.0,0.84,22.67 +15438,Mexico,2016,HIV/AIDS,Viral,15.88,10.99,9.11,0-18,Other,734170,57.07,1.67,6.85,Medication,11302.0,Yes,97.21,4604.0,7.98,34347.0,0.67,71.98 +15439,France,2010,Diabetes,Metabolic,12.9,13.89,4.21,36-60,Male,151196,76.16,0.91,8.23,Therapy,47484.0,No,51.66,4553.0,8.77,5368.0,0.75,64.38 +15446,India,2018,Measles,Bacterial,13.34,6.04,6.1,0-18,Female,999351,70.51,2.29,4.78,Medication,26935.0,Yes,83.59,1661.0,6.15,98626.0,0.42,33.99 +15447,Turkey,2015,Hypertension,Metabolic,0.25,3.2,6.38,0-18,Female,7606,58.46,3.43,4.66,Vaccination,36431.0,Yes,81.44,4188.0,2.18,70361.0,0.44,55.22 +15451,South Africa,2006,Measles,Parasitic,9.67,3.15,6.82,36-60,Female,280730,93.1,3.24,0.79,Vaccination,3336.0,Yes,79.27,3090.0,7.87,44174.0,0.79,70.88 +15471,UK,2007,Zika,Bacterial,19.56,10.88,1.69,19-35,Other,437881,60.94,0.82,5.34,Therapy,21751.0,Yes,67.43,3101.0,0.09,16378.0,0.8,41.57 +15481,Italy,2011,Rabies,Neurological,7.28,5.43,8.6,19-35,Male,768376,51.39,4.46,0.97,Therapy,20203.0,No,56.31,3996.0,7.9,46486.0,0.89,73.02 +15485,Japan,2003,Asthma,Autoimmune,7.25,2.28,1.45,61+,Female,333329,88.74,4.66,0.79,Surgery,37917.0,Yes,83.13,4852.0,0.49,86417.0,0.8,29.17 +15486,Australia,2019,Influenza,Bacterial,13.23,9.82,0.83,61+,Other,113907,95.9,3.32,9.89,Medication,7957.0,No,93.55,4835.0,0.19,96889.0,0.45,84.82 +15489,India,2001,Measles,Metabolic,4.65,13.75,9.76,36-60,Male,422022,73.58,3.46,3.77,Surgery,40179.0,Yes,56.94,1773.0,6.28,1975.0,0.41,50.93 +15493,Turkey,2006,Leprosy,Chronic,8.6,13.07,1.7,61+,Male,604159,91.36,3.88,5.44,Surgery,37058.0,Yes,55.99,1526.0,0.69,98282.0,0.43,23.5 +15494,Canada,2020,Leprosy,Respiratory,17.82,0.16,7.74,36-60,Male,904666,75.67,1.04,2.04,Surgery,27621.0,Yes,79.86,3154.0,6.39,53042.0,0.61,74.84 +15500,India,2007,Influenza,Viral,2.36,10.21,0.51,36-60,Other,82452,81.42,3.11,2.34,Vaccination,3594.0,Yes,53.81,2045.0,4.08,77691.0,0.42,61.41 +15502,Canada,2022,Asthma,Metabolic,15.71,14.39,9.47,36-60,Other,936597,99.77,2.73,8.08,Medication,31961.0,No,58.18,842.0,3.78,76195.0,0.65,26.87 +15506,Germany,2002,Hypertension,Respiratory,1.28,14.2,6.14,36-60,Male,300168,87.43,3.56,7.08,Surgery,12511.0,Yes,61.61,3266.0,1.43,36258.0,0.75,57.39 +15507,UK,2015,Rabies,Respiratory,15.75,6.98,5.19,61+,Other,44494,67.07,0.91,4.08,Vaccination,6050.0,Yes,73.4,2903.0,5.15,54114.0,0.44,61.07 +15518,Australia,2003,Hypertension,Metabolic,6.43,0.79,0.41,19-35,Male,481473,64.71,2.07,0.59,Surgery,746.0,Yes,56.82,4731.0,8.34,4090.0,0.53,61.46 +15520,Argentina,2010,Parkinson's Disease,Parasitic,16.73,12.37,9.04,61+,Other,681860,84.83,2.52,9.57,Surgery,27796.0,No,65.45,4056.0,8.24,22791.0,0.89,54.03 +15524,Brazil,2011,Polio,Autoimmune,1.4,5.0,6.43,0-18,Male,755431,61.9,4.0,8.78,Surgery,8471.0,No,72.22,3701.0,4.33,76260.0,0.44,75.83 +15525,Germany,2018,Hepatitis,Parasitic,11.47,9.9,2.96,36-60,Female,145544,91.32,1.99,1.07,Medication,29653.0,Yes,67.24,1117.0,2.99,96996.0,0.76,57.89 +15528,Argentina,2009,Rabies,Viral,5.47,0.54,5.17,19-35,Other,257973,57.35,2.71,9.29,Surgery,32179.0,Yes,96.11,4664.0,4.71,68724.0,0.78,51.63 +15533,Saudi Arabia,2023,Dengue,Neurological,10.63,5.13,3.76,61+,Male,84807,83.37,2.9,6.37,Therapy,8124.0,No,97.98,2441.0,9.85,10091.0,0.68,25.36 +15539,UK,2021,Rabies,Autoimmune,5.29,0.31,8.99,19-35,Male,159981,51.55,2.39,9.64,Medication,33131.0,No,93.97,3994.0,5.97,3632.0,0.74,27.57 +15555,Russia,2001,Dengue,Neurological,4.74,2.13,6.61,19-35,Other,211384,80.89,1.14,8.92,Therapy,30682.0,No,74.89,1115.0,1.63,57437.0,0.53,73.52 +15569,Australia,2019,Malaria,Bacterial,9.83,4.6,3.39,0-18,Other,106391,90.65,2.28,8.3,Medication,3845.0,No,86.26,1347.0,7.27,98827.0,0.75,55.37 +15576,Brazil,2020,Zika,Cardiovascular,8.43,13.08,7.59,0-18,Female,778445,90.13,2.59,7.24,Therapy,18052.0,Yes,76.22,2145.0,3.66,73119.0,0.58,54.35 +15586,Argentina,2021,Dengue,Infectious,15.45,0.25,1.0,36-60,Male,484396,75.11,0.87,9.03,Therapy,48607.0,Yes,64.63,465.0,6.66,5525.0,0.82,50.48 +15589,Mexico,2011,HIV/AIDS,Viral,11.78,8.98,3.28,61+,Male,835175,96.43,4.88,8.51,Vaccination,47977.0,No,66.39,2700.0,5.71,22614.0,0.86,77.63 +15600,UK,2020,Tuberculosis,Viral,0.94,12.08,3.77,0-18,Female,833662,93.61,4.3,7.92,Vaccination,47047.0,Yes,80.83,241.0,2.09,52053.0,0.85,23.79 +15610,Japan,2003,Ebola,Viral,11.0,1.66,9.44,19-35,Other,65744,53.66,2.27,6.58,Surgery,8179.0,Yes,87.29,3041.0,0.74,21170.0,0.64,73.72 +15616,Nigeria,2000,Influenza,Autoimmune,14.25,0.94,5.09,36-60,Male,355445,82.12,3.33,6.75,Therapy,7688.0,Yes,63.66,2752.0,1.86,8588.0,0.86,84.98 +15621,UK,2023,Zika,Bacterial,15.91,1.08,5.26,19-35,Other,393529,55.74,4.7,7.39,Surgery,9824.0,Yes,55.08,1468.0,2.5,40945.0,0.84,85.55 +15624,Saudi Arabia,2010,Hypertension,Cardiovascular,19.66,2.6,4.09,61+,Male,384762,54.43,3.05,2.78,Surgery,29437.0,Yes,70.9,2457.0,8.13,84181.0,0.56,69.27 +15628,Canada,2011,Ebola,Genetic,6.69,9.12,4.58,36-60,Male,382512,54.3,3.91,1.86,Medication,23099.0,Yes,74.05,3672.0,1.72,17072.0,0.78,74.93 +15635,South Korea,2002,Diabetes,Respiratory,8.41,4.59,2.09,0-18,Male,326074,62.93,2.88,1.06,Therapy,43769.0,Yes,58.38,102.0,8.44,5220.0,0.45,87.8 +15640,Australia,2008,Cholera,Viral,13.83,3.63,9.36,0-18,Other,328489,80.15,4.43,1.92,Medication,23699.0,No,69.92,4104.0,3.07,48266.0,0.62,20.12 +15642,Turkey,2004,Tuberculosis,Respiratory,16.19,4.5,8.55,0-18,Other,666169,98.2,3.53,1.75,Medication,39473.0,No,51.74,3888.0,5.18,98540.0,0.41,89.19 +15646,Canada,2000,Cholera,Metabolic,13.62,9.63,7.32,19-35,Male,532709,75.2,1.78,7.48,Vaccination,14833.0,No,77.96,4841.0,5.09,67686.0,0.45,60.6 +15649,Mexico,2022,Cholera,Metabolic,1.76,1.45,2.9,0-18,Female,175649,65.06,0.81,5.12,Surgery,33894.0,Yes,81.77,1685.0,4.6,17642.0,0.62,39.01 +15653,Saudi Arabia,2014,Zika,Parasitic,3.36,8.1,0.62,19-35,Male,559872,83.92,1.66,4.7,Therapy,33471.0,No,57.23,3492.0,2.59,57467.0,0.43,89.38 +15662,South Korea,2004,Alzheimer's Disease,Infectious,13.44,0.34,6.18,0-18,Female,37756,52.65,4.67,9.96,Vaccination,48857.0,No,72.73,1797.0,9.33,51521.0,0.66,81.48 +15669,Indonesia,2015,Hepatitis,Chronic,10.68,13.75,4.96,0-18,Other,86542,79.96,3.12,8.62,Medication,19587.0,Yes,79.36,2582.0,3.37,98957.0,0.66,50.84 +15671,Australia,2017,Cancer,Genetic,11.51,11.68,2.36,19-35,Male,164745,58.68,2.32,1.4,Medication,8780.0,Yes,59.21,4047.0,5.79,78088.0,0.79,45.57 +15673,Russia,2016,Ebola,Metabolic,9.0,8.41,3.09,19-35,Other,639796,95.79,1.65,2.86,Surgery,38691.0,No,75.33,3241.0,7.79,54177.0,0.58,80.96 +15677,Japan,2022,Cancer,Respiratory,5.48,10.95,2.92,36-60,Male,199715,99.19,2.43,3.66,Surgery,7309.0,No,96.13,3628.0,9.02,15866.0,0.77,62.57 +15714,France,2018,Diabetes,Respiratory,6.15,13.41,0.77,0-18,Other,133267,78.86,3.18,4.37,Surgery,8708.0,No,79.34,738.0,9.98,13823.0,0.49,71.32 +15727,India,2018,Dengue,Genetic,3.62,11.18,5.55,61+,Other,382201,61.18,2.48,4.2,Therapy,19601.0,No,88.62,712.0,1.84,1440.0,0.8,54.62 +15734,Turkey,2001,Parkinson's Disease,Cardiovascular,14.48,1.13,3.58,0-18,Male,474269,80.11,3.05,4.92,Medication,35774.0,Yes,82.48,445.0,9.04,76313.0,0.71,43.33 +15737,Mexico,2014,Cancer,Genetic,14.93,12.85,9.9,0-18,Other,191093,83.08,2.74,5.71,Therapy,13453.0,No,59.96,2748.0,6.88,54564.0,0.71,67.72 +15739,UK,2012,COVID-19,Autoimmune,12.92,0.94,0.92,61+,Female,911047,57.02,4.22,4.97,Medication,27388.0,Yes,62.47,4633.0,1.42,31067.0,0.52,60.42 +15743,Mexico,2004,Alzheimer's Disease,Chronic,2.08,13.26,4.75,36-60,Female,402253,62.16,0.95,9.86,Therapy,23187.0,Yes,84.35,446.0,7.03,18453.0,0.43,60.81 +15744,China,2010,COVID-19,Metabolic,14.75,10.74,0.57,61+,Male,834368,85.01,0.97,7.09,Medication,34420.0,No,91.29,258.0,3.04,6475.0,0.69,71.4 +15750,China,2013,Hepatitis,Chronic,4.0,14.63,8.07,36-60,Male,822135,57.04,4.3,0.98,Surgery,46822.0,No,76.44,1390.0,7.88,74224.0,0.72,88.13 +15756,Russia,2019,Polio,Cardiovascular,3.87,10.25,1.27,0-18,Other,690937,61.21,3.27,4.86,Medication,39977.0,No,85.47,3084.0,4.04,25807.0,0.63,54.78 +15761,South Africa,2015,Rabies,Bacterial,7.55,8.36,4.67,0-18,Male,727754,63.65,3.59,9.51,Therapy,9748.0,Yes,96.56,2837.0,2.03,6618.0,0.76,56.3 +15764,Turkey,2001,Cancer,Viral,6.39,3.24,9.27,0-18,Other,98597,56.17,4.73,6.73,Surgery,41816.0,Yes,77.55,1759.0,8.4,46664.0,0.77,69.42 +15770,Indonesia,2020,Rabies,Autoimmune,3.21,5.5,3.39,19-35,Female,321983,68.81,2.16,4.39,Medication,7970.0,No,55.97,4255.0,8.17,84039.0,0.83,89.78 +15773,Germany,2009,Alzheimer's Disease,Neurological,7.75,6.98,7.72,0-18,Other,538409,53.38,2.45,2.34,Vaccination,2308.0,Yes,93.16,4509.0,9.72,78144.0,0.64,42.68 +15778,South Korea,2015,Alzheimer's Disease,Genetic,2.78,11.59,3.45,0-18,Female,194597,54.46,4.4,1.27,Vaccination,25483.0,No,96.97,3591.0,4.38,87112.0,0.53,71.55 +15785,China,2015,Diabetes,Respiratory,2.09,11.63,5.35,0-18,Male,149272,60.84,3.2,2.6,Therapy,21355.0,No,98.14,4509.0,2.36,25577.0,0.65,72.13 +15795,Brazil,2005,Hepatitis,Chronic,16.22,12.7,6.7,19-35,Other,985682,83.92,2.99,0.7,Vaccination,22697.0,No,81.64,738.0,1.6,91657.0,0.68,58.09 +15800,Nigeria,2019,Cholera,Chronic,19.76,7.47,7.9,0-18,Other,976006,68.27,1.17,5.21,Therapy,48930.0,Yes,91.19,1764.0,8.02,28432.0,0.87,52.58 +15815,France,2012,HIV/AIDS,Respiratory,17.11,1.53,8.28,0-18,Male,112074,61.1,2.05,7.02,Vaccination,47989.0,No,90.91,1926.0,6.32,42065.0,0.71,23.72 +15835,Nigeria,2021,Ebola,Chronic,19.34,5.83,8.08,61+,Male,633877,67.75,4.89,7.43,Medication,34198.0,Yes,53.42,2180.0,0.77,54063.0,0.45,45.38 +15861,Nigeria,2005,Tuberculosis,Bacterial,19.15,14.64,8.87,19-35,Male,122086,50.53,0.6,7.55,Surgery,49430.0,No,80.28,1015.0,3.98,35716.0,0.83,38.29 +15878,Indonesia,2010,Hypertension,Bacterial,6.15,5.14,9.46,0-18,Male,367758,77.2,4.16,4.64,Medication,47814.0,No,87.67,1468.0,2.46,62537.0,0.59,31.62 +15884,Nigeria,2011,Polio,Autoimmune,1.88,14.71,1.0,61+,Female,586268,82.41,3.08,6.69,Vaccination,12838.0,No,60.46,4797.0,9.98,15383.0,0.86,54.54 +15889,Indonesia,2021,Malaria,Parasitic,0.15,13.08,9.87,36-60,Other,473292,54.33,1.47,7.43,Surgery,13048.0,No,60.63,4078.0,1.38,53331.0,0.82,24.4 +15904,Germany,2023,Influenza,Infectious,17.1,7.8,8.68,36-60,Male,4498,64.67,1.89,4.88,Therapy,2539.0,No,69.51,1661.0,6.02,99556.0,0.4,50.77 +15909,South Korea,2008,Cholera,Genetic,12.86,1.88,0.69,19-35,Female,408736,56.24,4.27,4.57,Surgery,26564.0,Yes,84.83,4406.0,2.17,16431.0,0.66,78.98 +15914,Turkey,2003,Parkinson's Disease,Bacterial,17.79,5.39,2.05,36-60,Male,715319,81.89,3.41,5.76,Surgery,3450.0,No,50.24,1907.0,2.33,62193.0,0.79,75.61 +15919,UK,2002,Hepatitis,Neurological,2.82,5.81,5.88,0-18,Female,442821,97.95,3.25,9.55,Surgery,18842.0,No,84.58,1304.0,7.24,44240.0,0.63,84.72 +15929,China,2022,Malaria,Cardiovascular,5.09,8.98,2.27,0-18,Male,157031,84.49,0.63,9.28,Therapy,36067.0,No,92.96,1161.0,7.92,21193.0,0.75,67.57 +15935,Nigeria,2017,Parkinson's Disease,Autoimmune,3.57,2.83,8.57,0-18,Male,668520,89.14,3.17,9.31,Vaccination,10751.0,No,69.23,1503.0,8.53,47400.0,0.79,64.97 +15936,Saudi Arabia,2004,Asthma,Infectious,2.69,10.03,5.92,61+,Female,361046,79.31,0.76,2.61,Therapy,25438.0,No,52.13,2132.0,7.44,43244.0,0.53,24.48 +15940,Russia,2000,HIV/AIDS,Neurological,1.59,8.35,3.33,0-18,Other,858612,71.92,4.54,7.04,Surgery,37593.0,Yes,81.81,452.0,0.99,28065.0,0.52,24.43 +15945,Canada,2007,Hepatitis,Bacterial,13.02,13.31,1.99,61+,Other,346037,66.58,1.83,9.78,Therapy,33344.0,No,73.54,4219.0,8.64,12762.0,0.63,49.3 +15948,Italy,2006,HIV/AIDS,Parasitic,6.08,11.68,3.26,19-35,Male,987083,93.82,1.83,2.04,Vaccination,12024.0,Yes,96.36,2857.0,4.77,12234.0,0.87,24.6 +15950,Nigeria,2023,Hepatitis,Genetic,1.26,10.74,2.3,36-60,Male,232887,58.78,1.12,7.41,Medication,19719.0,No,75.15,144.0,7.35,90354.0,0.45,71.32 +15967,South Korea,2014,Polio,Autoimmune,17.98,12.67,3.49,19-35,Female,514536,94.39,4.18,0.96,Vaccination,17751.0,Yes,83.31,3561.0,5.53,11209.0,0.43,61.43 +15979,Brazil,2017,Dengue,Viral,12.56,6.84,5.5,0-18,Male,46391,83.62,2.84,5.16,Medication,44694.0,Yes,97.06,4412.0,8.33,18986.0,0.73,36.66 +15991,USA,2024,Zika,Bacterial,19.33,11.97,0.45,0-18,Male,335958,91.27,3.46,4.5,Surgery,22720.0,No,67.03,617.0,1.69,65601.0,0.54,89.84 +15997,UK,2002,Hepatitis,Cardiovascular,17.09,12.77,0.82,61+,Female,6983,55.81,3.73,9.13,Therapy,49291.0,Yes,81.94,2485.0,7.96,68096.0,0.6,54.64 +16009,Nigeria,2001,Parkinson's Disease,Parasitic,15.73,14.7,5.42,36-60,Other,189060,92.05,2.63,5.57,Medication,127.0,Yes,62.99,1122.0,9.61,73333.0,0.61,60.13 +16011,UK,2007,Measles,Cardiovascular,8.6,2.56,9.96,19-35,Male,854866,99.71,1.68,7.17,Vaccination,13781.0,Yes,63.59,3921.0,8.92,78960.0,0.73,65.32 +16012,Russia,2022,Parkinson's Disease,Cardiovascular,17.51,10.48,7.5,0-18,Other,940975,95.19,3.34,1.54,Surgery,8069.0,No,96.17,3203.0,8.21,62747.0,0.45,49.93 +16018,Russia,2007,Asthma,Infectious,15.63,9.07,3.8,36-60,Other,648039,56.05,2.32,2.62,Surgery,29907.0,Yes,66.47,94.0,6.75,14290.0,0.77,25.42 +16021,Mexico,2005,Parkinson's Disease,Metabolic,1.11,5.3,5.02,61+,Other,319897,67.14,1.49,8.41,Medication,7457.0,Yes,54.84,2369.0,8.37,30456.0,0.71,85.19 +16024,India,2007,Diabetes,Chronic,18.34,8.8,3.75,0-18,Female,912473,98.65,1.17,3.81,Therapy,44681.0,Yes,94.82,2340.0,3.19,14165.0,0.43,50.29 +16026,Australia,2001,Influenza,Neurological,2.18,5.09,2.92,19-35,Other,25257,67.97,4.12,1.46,Therapy,21065.0,No,96.46,3679.0,8.45,28241.0,0.48,62.25 +16029,Turkey,2019,Asthma,Infectious,7.12,5.13,5.94,19-35,Female,857515,52.57,2.56,1.07,Vaccination,16879.0,No,64.14,2040.0,4.43,87905.0,0.58,75.54 +16032,Brazil,2006,Cholera,Viral,10.94,11.27,7.07,36-60,Other,786325,69.09,1.9,4.77,Therapy,47667.0,No,78.18,3451.0,3.68,62489.0,0.67,28.34 +16033,France,2014,Ebola,Genetic,12.88,12.58,0.26,19-35,Male,986925,55.37,1.74,7.36,Medication,22394.0,Yes,66.79,1078.0,9.49,32036.0,0.86,68.35 +16037,Italy,2020,Malaria,Infectious,6.25,10.99,6.89,36-60,Male,989210,60.27,3.87,2.86,Vaccination,47517.0,Yes,83.0,15.0,7.53,5908.0,0.79,57.02 +16039,Japan,2017,HIV/AIDS,Neurological,3.94,1.57,9.45,61+,Female,800367,82.07,3.1,3.44,Surgery,14095.0,Yes,82.14,78.0,9.08,58573.0,0.49,51.5 +16051,Argentina,2008,Dengue,Respiratory,10.79,14.71,3.31,61+,Female,653366,62.1,2.8,8.67,Surgery,25961.0,Yes,89.68,3809.0,7.52,37723.0,0.63,57.29 +16062,Canada,2013,Ebola,Parasitic,12.4,8.59,1.13,0-18,Other,445804,93.89,3.09,7.86,Vaccination,41182.0,Yes,80.74,2759.0,6.94,5664.0,0.63,51.94 +16063,Indonesia,2021,Cholera,Bacterial,16.47,0.23,3.31,36-60,Other,852200,52.87,1.31,3.71,Surgery,7175.0,No,84.09,3745.0,0.74,51556.0,0.48,27.2 +16067,South Africa,2003,Measles,Respiratory,16.61,11.33,0.7,0-18,Other,901708,66.93,1.65,3.48,Vaccination,18260.0,Yes,65.5,2165.0,6.85,20944.0,0.89,50.5 +16079,India,2003,Alzheimer's Disease,Respiratory,13.19,14.79,6.28,61+,Male,946506,80.1,3.57,5.65,Medication,17807.0,No,89.76,573.0,8.91,80028.0,0.54,76.35 +16080,Argentina,2010,Rabies,Autoimmune,8.81,10.03,4.82,19-35,Male,509368,62.2,1.28,8.6,Therapy,29338.0,Yes,57.56,4806.0,6.93,31118.0,0.74,54.93 +16081,Brazil,2020,Leprosy,Genetic,1.43,10.0,8.67,36-60,Other,545239,78.49,1.11,9.66,Medication,20218.0,No,94.35,3617.0,2.3,8190.0,0.74,30.23 +16085,Saudi Arabia,2002,Hypertension,Infectious,8.35,11.16,8.0,36-60,Female,762811,61.48,4.77,9.1,Vaccination,19161.0,No,66.17,2194.0,4.2,55601.0,0.5,68.08 +16090,Italy,2011,HIV/AIDS,Viral,0.6,10.57,3.37,61+,Female,316254,83.78,2.86,1.86,Therapy,37787.0,No,88.27,265.0,2.51,18567.0,0.5,69.7 +16091,Canada,2023,Cholera,Bacterial,15.44,5.39,1.14,19-35,Other,741686,95.97,4.94,8.72,Therapy,43027.0,Yes,50.1,2691.0,9.46,20727.0,0.72,89.68 +16094,South Korea,2012,Cancer,Genetic,2.49,0.43,7.17,61+,Female,328410,71.67,3.98,6.13,Medication,36755.0,Yes,81.71,2665.0,0.06,47561.0,0.67,77.88 +16107,Italy,2023,HIV/AIDS,Cardiovascular,11.53,4.93,9.32,0-18,Other,899397,70.96,1.06,9.95,Surgery,5055.0,No,88.43,6.0,8.71,66285.0,0.43,60.46 +16113,Japan,2009,Diabetes,Parasitic,17.96,6.52,0.31,0-18,Other,463204,51.02,4.79,5.39,Medication,31012.0,No,63.15,14.0,4.71,57508.0,0.61,64.43 +16117,Nigeria,2019,Hepatitis,Autoimmune,3.89,8.49,2.62,61+,Male,827864,77.78,1.53,8.5,Therapy,44427.0,Yes,52.11,2751.0,3.98,1200.0,0.55,37.85 +16118,Australia,2007,COVID-19,Respiratory,10.08,11.81,0.39,61+,Other,188530,95.95,2.35,8.95,Therapy,21890.0,No,52.76,3733.0,2.71,19710.0,0.77,68.91 +16120,UK,2024,Cancer,Genetic,12.0,11.27,9.86,19-35,Other,624587,94.17,3.22,8.84,Therapy,12505.0,No,92.88,3826.0,8.35,50538.0,0.61,61.3 +16122,Nigeria,2002,Tuberculosis,Chronic,6.5,4.34,6.04,61+,Male,389980,77.45,4.53,0.92,Therapy,32486.0,No,54.9,2171.0,0.42,37075.0,0.42,66.32 +16124,Canada,2019,Leprosy,Genetic,12.62,12.04,7.96,36-60,Other,897077,92.13,4.33,8.87,Therapy,29066.0,Yes,83.26,526.0,5.7,65277.0,0.79,23.06 +16126,India,2004,Cholera,Parasitic,19.9,13.09,8.64,0-18,Male,358641,75.93,4.59,5.31,Surgery,22853.0,No,90.84,1361.0,6.87,60563.0,0.77,70.52 +16132,USA,2000,HIV/AIDS,Genetic,0.76,14.86,4.12,36-60,Other,990760,70.86,0.89,8.35,Surgery,44584.0,Yes,69.99,1032.0,3.64,58864.0,0.62,51.38 +16134,Japan,2013,Cholera,Metabolic,7.8,6.76,0.92,0-18,Female,902672,64.38,4.27,0.54,Surgery,48273.0,No,78.76,732.0,1.11,51157.0,0.43,74.35 +16136,South Africa,2020,COVID-19,Viral,14.46,14.65,6.94,0-18,Male,178040,82.43,2.46,7.42,Surgery,37225.0,No,91.88,606.0,9.89,10617.0,0.78,72.75 +16137,UK,2000,COVID-19,Bacterial,17.1,0.82,5.81,61+,Male,663262,70.59,1.52,3.43,Medication,46751.0,Yes,58.81,1240.0,9.89,58436.0,0.78,61.04 +16144,Canada,2005,Cancer,Chronic,6.56,13.62,4.58,36-60,Male,943514,86.39,0.85,0.98,Surgery,747.0,Yes,97.62,2012.0,5.69,50049.0,0.58,88.39 +16148,Japan,2023,Hepatitis,Viral,16.22,10.47,8.4,61+,Female,88403,84.43,3.4,9.73,Medication,15514.0,No,91.33,819.0,10.0,92398.0,0.85,58.59 +16150,South Africa,2019,Zika,Metabolic,17.34,3.66,2.33,19-35,Other,704240,51.81,0.91,6.95,Medication,27187.0,No,59.27,3989.0,1.85,74493.0,0.54,42.49 +16160,South Africa,2022,Zika,Autoimmune,16.91,0.44,9.89,61+,Female,891621,78.37,3.86,8.51,Surgery,21427.0,No,55.84,23.0,5.7,80302.0,0.63,85.97 +16161,Brazil,2001,Tuberculosis,Infectious,14.62,0.46,5.21,36-60,Other,362398,76.79,2.06,1.76,Surgery,38089.0,Yes,79.41,2166.0,4.96,6246.0,0.79,56.16 +16162,China,2012,Asthma,Cardiovascular,2.61,1.76,9.32,36-60,Male,538603,67.8,4.49,3.99,Surgery,32021.0,No,69.46,1799.0,2.53,88438.0,0.44,29.73 +16186,Australia,2000,Cholera,Cardiovascular,16.35,4.08,5.36,36-60,Other,148597,51.91,0.56,9.22,Therapy,36697.0,No,72.79,3229.0,1.88,24733.0,0.79,83.13 +16187,Brazil,2017,Diabetes,Viral,14.61,5.08,5.32,19-35,Female,871359,69.06,1.53,4.81,Surgery,12068.0,Yes,95.29,1250.0,3.95,23640.0,0.85,57.57 +16188,Australia,2020,Malaria,Autoimmune,4.01,4.04,2.51,36-60,Male,223381,97.02,1.7,1.28,Surgery,31762.0,Yes,93.78,2317.0,4.96,93180.0,0.86,58.46 +16200,Mexico,2013,Dengue,Neurological,1.73,4.37,8.15,0-18,Male,544257,81.47,2.24,3.39,Medication,38352.0,Yes,57.01,798.0,5.7,55221.0,0.4,61.15 +16202,Brazil,2023,Cholera,Bacterial,1.43,1.92,6.89,19-35,Male,178661,92.65,1.86,0.88,Therapy,2726.0,No,69.28,3035.0,1.01,44194.0,0.7,71.74 +16203,USA,2002,Hepatitis,Genetic,16.89,2.82,6.67,36-60,Male,69483,73.09,4.13,0.72,Surgery,33252.0,No,67.17,4340.0,7.56,78959.0,0.87,50.15 +16208,Australia,2020,COVID-19,Respiratory,15.61,5.37,8.85,36-60,Other,427636,86.14,3.69,0.93,Therapy,4645.0,Yes,54.51,1882.0,9.99,94850.0,0.56,30.69 +16209,USA,2004,Hepatitis,Genetic,14.41,5.07,3.42,61+,Other,350837,79.74,0.68,4.69,Medication,12680.0,Yes,77.98,748.0,2.56,29689.0,0.57,35.18 +16216,Saudi Arabia,2013,Malaria,Chronic,11.8,1.99,6.67,61+,Other,309997,62.3,4.21,1.99,Therapy,30494.0,Yes,52.51,1451.0,1.46,93343.0,0.9,67.77 +16217,India,2014,Dengue,Chronic,0.54,12.66,0.64,61+,Female,961664,79.42,4.6,2.97,Surgery,34846.0,Yes,63.56,1942.0,5.55,24482.0,0.66,55.54 +16221,Mexico,2014,Parkinson's Disease,Parasitic,16.16,7.83,1.24,36-60,Female,39951,52.32,4.55,8.92,Vaccination,42468.0,No,86.32,3034.0,3.47,36567.0,0.82,34.7 +16222,Turkey,2001,Polio,Genetic,18.83,0.3,4.79,0-18,Female,806214,80.95,0.57,0.95,Therapy,8017.0,No,82.23,1490.0,2.33,93817.0,0.6,47.12 +16223,Mexico,2010,Dengue,Viral,1.68,13.76,3.03,61+,Female,232159,88.2,2.91,8.98,Vaccination,26971.0,Yes,56.21,4196.0,6.86,41293.0,0.54,85.92 +16236,Japan,2008,Hepatitis,Parasitic,19.28,11.76,5.4,61+,Other,465381,86.16,0.85,8.8,Medication,30292.0,Yes,50.76,4261.0,2.42,50716.0,0.43,51.5 +16245,Japan,2022,Malaria,Respiratory,9.11,5.41,4.24,61+,Other,680594,59.32,4.3,9.1,Surgery,43198.0,No,83.18,192.0,1.5,80497.0,0.79,25.35 +16246,Italy,2010,Asthma,Genetic,2.45,5.05,9.04,36-60,Male,331008,70.39,4.56,5.39,Vaccination,3927.0,Yes,68.63,4570.0,3.45,28777.0,0.85,34.85 +16252,China,2008,Leprosy,Metabolic,9.49,1.79,3.82,19-35,Male,617437,80.98,2.73,3.46,Medication,37770.0,No,51.65,1959.0,5.55,16107.0,0.57,78.28 +16259,France,2020,Parkinson's Disease,Neurological,13.73,1.06,1.02,19-35,Male,121434,62.63,3.16,9.99,Vaccination,36241.0,No,73.73,3679.0,5.86,53112.0,0.51,40.44 +16263,South Korea,2012,Cancer,Respiratory,16.09,14.87,4.83,0-18,Male,836244,80.6,4.23,8.31,Medication,10424.0,Yes,70.55,239.0,0.96,25987.0,0.77,80.37 +16272,France,2007,Asthma,Genetic,0.92,3.39,0.29,0-18,Male,970067,74.26,4.77,9.11,Surgery,21895.0,Yes,64.85,4079.0,0.03,68880.0,0.66,30.72 +16282,South Korea,2023,Hepatitis,Neurological,10.7,9.17,8.77,36-60,Other,625188,94.56,3.01,2.3,Vaccination,21546.0,Yes,76.58,3171.0,0.17,23752.0,0.77,34.81 +16288,Argentina,2001,Ebola,Respiratory,11.1,4.1,7.35,19-35,Other,524164,65.68,3.47,9.82,Surgery,6309.0,Yes,58.96,2917.0,9.4,22028.0,0.77,47.88 +16290,France,2020,Measles,Genetic,8.3,2.13,1.36,19-35,Male,79043,88.2,4.75,4.69,Surgery,8692.0,No,58.15,1994.0,8.86,18066.0,0.55,44.23 +16291,Australia,2022,Influenza,Cardiovascular,3.65,9.77,3.84,19-35,Other,432815,97.25,1.15,4.49,Medication,47844.0,Yes,54.47,3386.0,0.91,2792.0,0.85,78.21 +16308,India,2004,Cholera,Bacterial,17.99,3.57,4.88,19-35,Female,599578,54.69,4.92,8.38,Therapy,20531.0,No,69.8,2360.0,4.45,68162.0,0.47,26.94 +16309,Turkey,2011,HIV/AIDS,Metabolic,7.25,11.38,2.53,0-18,Other,412678,87.18,3.36,3.92,Therapy,24522.0,No,71.69,2692.0,1.94,57236.0,0.73,87.47 +16317,China,2004,Alzheimer's Disease,Autoimmune,17.53,9.86,8.7,0-18,Female,563312,85.76,3.79,8.16,Vaccination,5909.0,Yes,78.61,492.0,7.19,97757.0,0.5,70.47 +16327,Germany,2003,Cancer,Autoimmune,15.49,2.43,8.94,0-18,Male,670732,72.61,4.74,5.84,Vaccination,46779.0,Yes,68.94,3412.0,4.21,77416.0,0.46,29.35 +16329,Russia,2006,Alzheimer's Disease,Genetic,7.89,0.84,7.41,36-60,Female,516672,54.52,1.56,0.66,Surgery,15939.0,No,77.76,3081.0,4.92,66668.0,0.75,29.23 +16334,Germany,2020,HIV/AIDS,Parasitic,13.13,12.91,8.26,61+,Female,326308,86.91,2.15,5.18,Medication,4355.0,No,65.18,1994.0,9.44,52727.0,0.81,52.77 +16336,USA,2019,COVID-19,Metabolic,4.3,7.44,3.8,0-18,Male,914389,93.05,2.45,9.73,Medication,3250.0,Yes,91.67,2908.0,8.33,74704.0,0.62,22.42 +16337,Germany,2009,Leprosy,Parasitic,17.92,14.78,1.7,19-35,Female,740863,75.14,2.11,4.28,Medication,36550.0,Yes,88.07,3613.0,4.69,29208.0,0.72,56.84 +16340,Saudi Arabia,2019,Dengue,Chronic,14.75,14.85,6.87,61+,Male,438313,80.9,2.93,5.24,Surgery,27128.0,No,73.24,4113.0,9.63,79813.0,0.55,46.46 +16349,South Korea,2000,Cholera,Neurological,10.39,8.7,8.09,36-60,Female,545382,94.96,2.82,8.18,Therapy,20886.0,No,76.49,3932.0,8.51,54561.0,0.6,80.79 +16351,Mexico,2003,Cholera,Autoimmune,15.34,5.75,7.63,61+,Female,1480,92.64,4.98,1.73,Surgery,4899.0,Yes,58.87,4271.0,0.39,26830.0,0.43,47.43 +16352,Canada,2007,Diabetes,Metabolic,15.04,2.13,5.01,19-35,Other,744089,79.46,3.81,1.54,Vaccination,31320.0,No,60.43,2045.0,6.97,30214.0,0.73,59.83 +16358,Australia,2019,Diabetes,Bacterial,4.21,8.35,4.6,0-18,Other,514107,97.25,1.0,4.42,Medication,17489.0,Yes,67.49,826.0,3.82,24245.0,0.88,65.14 +16365,Brazil,2023,Measles,Metabolic,4.67,9.09,3.12,19-35,Male,598651,72.5,4.61,5.95,Vaccination,1773.0,Yes,92.96,3172.0,3.69,86792.0,0.86,52.64 +16368,Russia,2019,Measles,Bacterial,15.48,0.16,6.34,36-60,Female,504020,98.44,4.95,1.4,Therapy,40627.0,Yes,76.36,3363.0,3.14,27643.0,0.55,42.32 +16372,Australia,2011,Influenza,Genetic,18.63,0.53,5.02,36-60,Male,708746,60.67,1.07,0.57,Therapy,37455.0,Yes,85.75,3785.0,9.76,44170.0,0.83,26.55 +16382,Italy,2008,Zika,Neurological,9.22,13.53,2.79,19-35,Male,51740,81.62,1.48,6.73,Medication,35745.0,Yes,59.4,3698.0,1.43,55069.0,0.63,62.6 +16384,Australia,2010,Ebola,Chronic,11.48,5.66,4.06,61+,Female,881188,60.93,2.55,3.51,Surgery,24604.0,Yes,55.99,2644.0,3.57,62089.0,0.83,62.91 +16386,South Korea,2024,COVID-19,Bacterial,17.03,13.56,6.2,0-18,Male,30584,65.38,3.32,4.71,Surgery,26552.0,No,74.64,1711.0,6.6,20095.0,0.42,72.8 +16387,USA,2001,Malaria,Autoimmune,11.16,14.48,1.83,61+,Male,930424,94.02,3.73,0.8,Vaccination,29378.0,No,63.61,3667.0,4.13,91212.0,0.49,42.93 +16388,Brazil,2013,HIV/AIDS,Cardiovascular,1.84,8.13,9.27,19-35,Male,223741,76.39,4.15,9.34,Medication,38402.0,No,73.64,2818.0,5.93,80722.0,0.81,39.89 +16391,Brazil,2009,Rabies,Cardiovascular,7.93,14.3,6.52,19-35,Female,516479,85.61,4.24,0.7,Therapy,29786.0,No,53.12,3904.0,1.73,95181.0,0.4,71.74 +16392,Italy,2021,Tuberculosis,Chronic,12.92,7.75,8.77,36-60,Other,570917,70.6,4.33,3.08,Therapy,22999.0,Yes,67.28,256.0,9.6,11209.0,0.43,58.35 +16395,China,2003,Leprosy,Chronic,4.01,12.54,8.37,61+,Male,16360,94.96,0.91,4.56,Medication,29466.0,No,81.21,3075.0,3.48,89213.0,0.79,21.13 +16402,Argentina,2002,Rabies,Autoimmune,14.57,2.84,6.33,0-18,Other,547403,68.5,3.26,7.44,Therapy,32152.0,No,97.28,1136.0,7.75,19738.0,0.59,74.19 +16403,USA,2014,Hypertension,Neurological,11.5,4.46,5.69,19-35,Male,932840,76.66,2.85,8.74,Vaccination,40734.0,No,85.57,685.0,2.65,32215.0,0.64,85.52 +16404,South Korea,2017,Hepatitis,Cardiovascular,8.7,7.2,5.21,19-35,Female,338200,82.48,2.65,8.15,Therapy,40193.0,No,64.37,4610.0,0.8,55993.0,0.42,80.29 +16407,Japan,2009,Polio,Chronic,10.33,1.59,9.28,19-35,Male,362670,60.02,4.4,3.31,Vaccination,40662.0,No,78.11,4213.0,9.1,24789.0,0.49,58.77 +16414,South Korea,2022,Cancer,Parasitic,17.93,3.18,2.58,0-18,Female,167443,91.64,2.31,3.79,Vaccination,13276.0,No,77.84,3640.0,5.22,72346.0,0.76,33.73 +16416,Germany,2001,Hypertension,Metabolic,10.62,11.5,8.19,36-60,Other,335454,91.28,0.55,2.9,Therapy,1749.0,No,58.57,3831.0,1.79,10403.0,0.61,85.23 +16419,Italy,2009,Malaria,Metabolic,3.69,8.87,9.07,61+,Other,934040,85.49,3.8,9.32,Medication,3710.0,Yes,52.14,4627.0,7.05,90547.0,0.64,69.68 +16429,Russia,2019,Polio,Neurological,17.09,6.47,1.33,61+,Other,84358,57.68,3.46,2.05,Medication,40052.0,Yes,80.05,3575.0,1.71,93273.0,0.82,50.4 +16430,South Korea,2014,Polio,Cardiovascular,2.79,12.41,9.68,19-35,Other,470613,87.78,2.52,1.8,Surgery,31181.0,Yes,53.01,3791.0,1.34,52688.0,0.8,60.12 +16434,Brazil,2022,Alzheimer's Disease,Respiratory,18.15,13.39,8.28,61+,Female,138678,98.92,0.8,6.1,Vaccination,18013.0,Yes,54.29,261.0,5.11,54124.0,0.61,79.49 +16448,Nigeria,2018,Asthma,Parasitic,12.27,3.21,6.93,0-18,Male,301017,80.84,4.77,2.22,Surgery,31977.0,No,54.03,1333.0,2.63,46151.0,0.72,49.09 +16461,Germany,2011,Cholera,Infectious,1.34,2.57,6.86,36-60,Male,493608,80.87,2.09,8.86,Surgery,47121.0,No,93.07,1887.0,9.61,55641.0,0.56,64.03 +16466,Saudi Arabia,2010,Tuberculosis,Neurological,13.03,2.58,7.94,61+,Male,337586,90.96,3.54,3.97,Medication,39673.0,No,97.98,1427.0,7.13,92596.0,0.85,52.13 +16467,Nigeria,2016,Malaria,Bacterial,8.4,3.08,2.79,36-60,Other,351690,59.98,2.26,2.64,Surgery,27597.0,No,59.46,2946.0,2.22,90281.0,0.63,55.97 +16470,Indonesia,2009,Diabetes,Metabolic,12.11,4.18,6.72,19-35,Other,381574,63.42,0.5,2.28,Vaccination,19199.0,No,65.71,2572.0,2.21,7204.0,0.6,80.91 +16473,Brazil,2018,Ebola,Bacterial,13.89,11.1,7.41,0-18,Female,17863,52.9,1.32,0.51,Therapy,43004.0,No,98.95,1342.0,0.06,87715.0,0.52,44.03 +16478,Germany,2012,Leprosy,Infectious,2.56,4.77,8.67,36-60,Male,983027,56.45,3.83,9.97,Therapy,30410.0,No,68.81,3790.0,8.21,15216.0,0.48,83.08 +16482,Italy,2024,Diabetes,Autoimmune,5.3,2.91,4.85,61+,Other,930118,85.04,0.99,2.22,Vaccination,42452.0,Yes,73.96,4770.0,7.34,54281.0,0.66,58.08 +16490,Argentina,2005,Malaria,Chronic,12.03,14.86,8.92,0-18,Female,626621,51.15,1.09,3.0,Medication,31834.0,No,57.3,455.0,4.28,9183.0,0.87,79.33 +16493,Japan,2002,Ebola,Infectious,4.77,9.79,2.85,36-60,Male,6470,75.12,4.66,3.42,Vaccination,42431.0,No,94.08,901.0,3.39,65404.0,0.7,78.11 +16496,Turkey,2017,Asthma,Cardiovascular,8.15,14.22,3.91,19-35,Female,840053,78.2,4.07,4.6,Vaccination,11382.0,Yes,77.62,1271.0,5.19,27708.0,0.83,89.4 +16504,Indonesia,2017,Cholera,Respiratory,19.61,6.47,6.41,61+,Male,959298,53.3,2.25,4.81,Medication,2450.0,No,59.47,1255.0,5.99,47533.0,0.89,72.76 +16513,Indonesia,2017,Cholera,Autoimmune,19.01,11.45,9.73,36-60,Female,772308,76.38,1.92,8.43,Medication,44298.0,Yes,55.35,3335.0,9.53,67336.0,0.73,22.5 +16514,Turkey,2023,Cancer,Respiratory,12.99,13.25,8.68,36-60,Female,783729,77.91,4.65,5.26,Medication,20463.0,Yes,98.73,1197.0,1.59,83929.0,0.77,21.22 +16518,Saudi Arabia,2009,Leprosy,Metabolic,18.07,3.19,2.11,61+,Other,476551,52.05,2.15,2.48,Medication,15025.0,No,58.73,2601.0,7.0,54886.0,0.64,50.01 +16521,Canada,2019,Tuberculosis,Viral,14.32,13.05,3.39,19-35,Female,118723,50.4,3.98,4.86,Medication,29965.0,No,58.52,2537.0,4.75,11170.0,0.84,30.47 +16522,Australia,2014,Influenza,Chronic,18.61,6.68,0.21,0-18,Other,944741,57.29,1.5,4.75,Surgery,30510.0,No,86.72,4490.0,7.58,86585.0,0.59,80.07 +16524,Russia,2006,Ebola,Neurological,2.59,5.72,3.4,36-60,Other,382934,60.83,2.88,9.97,Medication,29915.0,No,85.85,3633.0,7.39,44906.0,0.66,75.06 +16528,Mexico,2007,Alzheimer's Disease,Respiratory,10.41,14.66,2.93,36-60,Other,108465,73.95,1.18,1.07,Vaccination,4046.0,No,91.33,3264.0,2.72,37444.0,0.87,79.39 +16532,Indonesia,2008,Rabies,Neurological,11.95,0.12,9.52,0-18,Female,649192,65.27,2.67,4.0,Medication,4317.0,No,65.9,396.0,1.35,98878.0,0.7,39.81 +16536,USA,2012,Hypertension,Cardiovascular,0.36,4.99,3.18,0-18,Male,431059,64.96,3.04,3.32,Vaccination,25586.0,No,63.9,4115.0,9.24,24109.0,0.64,43.22 +16537,China,2017,Cholera,Bacterial,10.63,11.26,9.04,61+,Male,963154,96.72,3.57,7.25,Therapy,10011.0,No,77.32,3392.0,5.01,71889.0,0.54,25.94 +16538,Canada,2016,Measles,Neurological,10.68,14.46,5.54,36-60,Male,256798,81.76,0.9,7.69,Surgery,1415.0,No,83.7,3408.0,2.24,3832.0,0.76,87.33 +16541,Australia,2017,Leprosy,Metabolic,14.59,11.82,3.04,0-18,Male,786420,57.79,1.58,6.33,Medication,31787.0,Yes,95.62,1579.0,5.78,54062.0,0.89,51.36 +16545,South Africa,2006,Leprosy,Parasitic,0.87,1.36,3.48,19-35,Female,65067,57.19,0.75,8.52,Vaccination,45056.0,Yes,81.74,2372.0,7.8,62462.0,0.49,86.21 +16555,Brazil,2009,Alzheimer's Disease,Cardiovascular,8.62,7.05,0.74,36-60,Other,8490,52.91,2.12,7.59,Medication,4506.0,Yes,91.61,1850.0,4.31,55153.0,0.67,75.35 +16569,France,2002,Diabetes,Genetic,17.64,4.13,1.87,19-35,Female,942872,77.13,1.11,7.0,Medication,13256.0,Yes,74.55,2787.0,9.2,77728.0,0.86,52.89 +16576,South Africa,2017,Alzheimer's Disease,Autoimmune,5.59,8.34,5.27,0-18,Female,704436,54.81,2.8,4.49,Therapy,8974.0,No,58.04,207.0,0.3,21390.0,0.43,30.51 +16588,Nigeria,2021,HIV/AIDS,Cardiovascular,0.15,6.97,2.51,61+,Male,956469,98.14,1.71,9.24,Medication,4246.0,Yes,57.84,1295.0,3.12,6754.0,0.75,78.98 +16594,USA,2009,Polio,Bacterial,0.5,4.91,3.28,19-35,Male,856562,90.76,4.58,8.02,Vaccination,30797.0,No,63.04,3756.0,6.63,70771.0,0.71,77.88 +16596,Mexico,2021,Alzheimer's Disease,Autoimmune,14.4,13.82,3.36,0-18,Male,391191,81.65,1.44,9.76,Vaccination,48723.0,Yes,71.19,712.0,8.11,57123.0,0.48,62.05 +16597,Canada,2003,Parkinson's Disease,Parasitic,11.77,9.43,2.65,61+,Male,350325,61.48,3.93,9.21,Medication,21476.0,Yes,72.89,2068.0,1.07,39204.0,0.7,53.98 +16598,Nigeria,2010,Ebola,Metabolic,0.96,2.36,8.2,19-35,Female,188941,55.44,3.46,1.36,Therapy,14625.0,No,55.23,240.0,9.85,98189.0,0.48,85.82 +16599,Mexico,2021,Ebola,Infectious,18.65,14.38,0.72,19-35,Other,280552,95.97,4.15,6.9,Surgery,16506.0,Yes,97.78,2519.0,7.72,29416.0,0.87,88.92 +16602,Indonesia,2019,Leprosy,Viral,16.05,2.43,6.5,0-18,Female,17523,74.59,1.55,6.13,Vaccination,1103.0,No,98.4,1559.0,5.71,46407.0,0.48,65.76 +16606,UK,2021,COVID-19,Cardiovascular,6.02,1.44,1.28,0-18,Male,225047,86.28,0.62,8.31,Surgery,2091.0,No,86.46,186.0,4.63,3871.0,0.68,72.0 +16611,Russia,2024,Cancer,Cardiovascular,2.35,14.27,7.57,19-35,Female,991123,58.41,2.31,5.79,Therapy,3325.0,No,60.07,1493.0,2.98,62201.0,0.57,32.83 +16612,Italy,2012,Tuberculosis,Bacterial,18.0,5.65,0.96,36-60,Male,378572,80.04,0.86,6.11,Vaccination,23679.0,Yes,66.01,1287.0,7.63,39551.0,0.47,53.32 +16620,China,2013,Malaria,Metabolic,10.32,5.46,9.76,36-60,Male,444395,82.29,3.24,2.76,Surgery,3377.0,No,92.51,507.0,3.2,22702.0,0.8,87.8 +16637,South Korea,2022,Polio,Parasitic,1.72,8.04,4.08,0-18,Other,121318,74.06,3.55,2.04,Surgery,35396.0,No,93.32,887.0,1.78,41729.0,0.4,66.14 +16644,Saudi Arabia,2008,COVID-19,Respiratory,17.57,7.66,7.97,19-35,Other,90727,72.09,0.61,7.06,Therapy,45323.0,No,76.91,3493.0,2.03,87248.0,0.44,45.11 +16646,USA,2013,Influenza,Metabolic,13.67,3.84,2.3,0-18,Male,479964,54.81,0.51,5.95,Surgery,34526.0,Yes,51.81,3358.0,7.05,82525.0,0.78,82.61 +16648,Canada,2013,Dengue,Metabolic,12.35,14.78,2.6,0-18,Female,810203,82.08,4.84,5.85,Medication,38160.0,No,97.18,2382.0,0.21,65184.0,0.45,76.45 +16654,Nigeria,2003,Polio,Chronic,1.64,6.16,2.68,61+,Other,478355,65.44,2.61,2.11,Surgery,41576.0,Yes,80.29,2160.0,5.06,27346.0,0.88,62.84 +16660,Turkey,2020,Ebola,Infectious,3.28,2.95,8.59,36-60,Other,922674,84.51,2.63,2.02,Vaccination,19513.0,Yes,86.56,997.0,6.21,59501.0,0.65,45.21 +16664,Saudi Arabia,2009,Rabies,Infectious,1.03,4.92,3.6,36-60,Male,622253,52.93,3.46,6.57,Therapy,39357.0,No,81.65,4794.0,3.7,83053.0,0.75,80.35 +16666,Japan,2003,Diabetes,Respiratory,14.85,2.21,1.58,0-18,Male,835836,77.3,1.49,9.39,Therapy,33875.0,No,72.73,3674.0,8.72,86553.0,0.69,79.04 +16675,Italy,2008,Leprosy,Genetic,6.79,4.41,4.77,19-35,Male,704379,76.28,1.3,5.65,Surgery,6471.0,Yes,68.61,4908.0,3.49,23399.0,0.63,37.98 +16678,Australia,2000,Influenza,Genetic,9.84,9.97,6.11,36-60,Female,736182,58.18,2.69,1.77,Surgery,46487.0,No,91.06,746.0,1.67,40334.0,0.9,28.97 +16682,UK,2004,Diabetes,Cardiovascular,17.52,10.52,7.87,36-60,Female,56619,75.32,3.32,4.93,Therapy,2905.0,No,53.61,902.0,1.47,77263.0,0.71,27.43 +16685,China,2024,Alzheimer's Disease,Metabolic,12.33,6.6,8.41,61+,Female,69811,98.0,1.43,4.15,Surgery,17882.0,Yes,66.04,1678.0,9.75,36282.0,0.73,51.15 +16693,Indonesia,2011,Hypertension,Autoimmune,0.76,3.69,4.61,61+,Male,613859,74.99,4.89,3.46,Vaccination,47166.0,Yes,88.28,3335.0,0.64,57300.0,0.87,51.37 +16697,France,2018,Alzheimer's Disease,Genetic,8.47,9.33,8.46,36-60,Other,783420,68.14,4.62,8.6,Vaccination,43898.0,Yes,54.88,2678.0,9.51,13279.0,0.63,73.44 +16712,Australia,2011,Ebola,Autoimmune,10.41,4.14,7.59,36-60,Male,843207,89.1,1.57,1.94,Medication,39559.0,Yes,60.38,4505.0,4.89,6088.0,0.47,30.01 +16716,France,2010,Influenza,Parasitic,13.71,1.84,7.69,19-35,Male,696339,74.43,2.69,4.14,Medication,45056.0,No,74.93,2646.0,7.96,24102.0,0.79,47.96 +16720,USA,2011,Leprosy,Respiratory,18.31,14.91,3.03,0-18,Other,219865,66.69,4.25,8.23,Vaccination,41698.0,Yes,95.75,4239.0,0.21,50645.0,0.5,53.06 +16723,Italy,2024,Rabies,Chronic,18.51,4.16,7.73,0-18,Female,169538,63.48,4.85,4.24,Medication,27686.0,No,56.13,3003.0,6.32,67415.0,0.66,24.45 +16727,Canada,2023,COVID-19,Neurological,15.18,13.37,0.4,0-18,Female,219803,50.66,3.34,7.99,Vaccination,24050.0,No,68.19,4093.0,4.44,59715.0,0.54,55.55 +16741,Turkey,2005,Cholera,Viral,15.96,12.35,3.96,0-18,Female,21664,89.43,2.48,2.53,Vaccination,2747.0,Yes,52.82,1908.0,2.29,6252.0,0.68,54.92 +16745,Saudi Arabia,2023,Influenza,Cardiovascular,9.39,9.79,6.25,36-60,Female,107589,54.04,3.45,5.85,Surgery,9134.0,No,80.38,4108.0,6.45,48543.0,0.65,26.73 +16754,Turkey,2012,Diabetes,Metabolic,19.59,14.16,6.15,36-60,Other,647524,52.4,1.9,7.53,Vaccination,28122.0,Yes,94.65,1876.0,5.56,78063.0,0.87,64.1 +16755,Japan,2010,Cholera,Infectious,0.17,11.05,8.63,19-35,Other,745872,73.65,2.11,5.3,Vaccination,11399.0,Yes,79.2,2241.0,2.07,63256.0,0.73,47.44 +16756,Brazil,2012,HIV/AIDS,Autoimmune,6.04,4.09,8.26,36-60,Male,629914,89.13,0.82,8.81,Surgery,48979.0,Yes,74.18,4992.0,6.88,96168.0,0.59,24.16 +16760,China,2010,Zika,Parasitic,1.26,7.61,7.52,19-35,Other,244088,94.87,3.26,8.84,Surgery,37288.0,No,72.36,2497.0,4.46,38540.0,0.41,22.72 +16768,Germany,2015,Cancer,Chronic,18.64,9.18,10.0,0-18,Male,500102,95.71,0.94,6.15,Therapy,35792.0,Yes,86.52,766.0,4.62,60006.0,0.76,62.05 +16769,India,2018,Influenza,Chronic,18.16,1.21,2.15,36-60,Female,229556,88.61,2.81,6.55,Therapy,9363.0,Yes,74.31,171.0,6.19,38131.0,0.85,85.6 +16774,Brazil,2006,Measles,Genetic,6.41,10.57,7.34,19-35,Female,564550,75.4,1.35,7.61,Vaccination,5016.0,Yes,97.04,4892.0,0.09,27117.0,0.76,89.81 +16778,Germany,2008,Zika,Chronic,11.26,6.14,7.78,36-60,Female,199650,76.73,4.62,6.3,Vaccination,24087.0,Yes,53.34,3335.0,6.44,79419.0,0.46,30.97 +16783,Russia,2015,Dengue,Cardiovascular,9.16,11.14,5.96,36-60,Male,304596,67.9,1.75,1.09,Therapy,38704.0,No,61.38,4293.0,1.55,4550.0,0.59,65.97 +16785,Nigeria,2021,Leprosy,Bacterial,10.1,5.75,9.79,61+,Other,397044,71.83,2.09,2.8,Vaccination,45694.0,No,85.78,2613.0,9.84,53488.0,0.73,53.85 +16788,Turkey,2022,Alzheimer's Disease,Viral,3.23,10.3,6.75,61+,Other,973290,90.76,4.92,6.58,Therapy,39874.0,No,64.07,3954.0,8.49,32578.0,0.65,81.18 +16791,Indonesia,2023,Hypertension,Parasitic,0.26,2.21,2.33,61+,Male,906291,81.09,4.34,4.07,Therapy,19791.0,No,84.75,3822.0,2.54,20194.0,0.66,64.68 +16798,India,2024,Zika,Chronic,9.45,10.88,8.04,61+,Other,814265,63.15,2.66,1.72,Medication,37984.0,Yes,96.2,4424.0,3.37,5672.0,0.49,69.07 +16801,France,2018,Malaria,Viral,4.33,4.0,8.16,19-35,Male,671275,77.61,1.98,9.15,Therapy,37489.0,Yes,90.87,3075.0,5.51,67163.0,0.56,47.77 +16807,India,2011,Cancer,Respiratory,2.66,13.65,9.34,36-60,Male,196429,77.64,2.33,4.96,Medication,40224.0,Yes,79.29,3236.0,5.0,78737.0,0.89,51.16 +16814,Indonesia,2000,Measles,Infectious,11.48,0.89,9.68,19-35,Other,913950,65.63,4.12,8.98,Therapy,8170.0,No,83.66,1782.0,3.42,83182.0,0.6,38.87 +16819,South Korea,2013,Asthma,Autoimmune,19.95,6.67,8.34,19-35,Female,353198,90.76,1.54,8.26,Vaccination,14121.0,No,75.49,1486.0,7.41,52257.0,0.55,43.69 +16827,India,2023,Cancer,Neurological,6.2,14.45,3.55,61+,Male,158221,72.28,3.49,2.19,Medication,40757.0,Yes,78.93,1190.0,8.77,63171.0,0.43,41.72 +16832,Saudi Arabia,2006,Parkinson's Disease,Autoimmune,12.74,6.19,8.14,19-35,Other,856933,59.39,3.38,7.56,Therapy,46396.0,Yes,57.71,3770.0,8.23,78487.0,0.75,24.52 +16834,South Korea,2018,Malaria,Neurological,8.99,13.63,8.06,19-35,Other,699093,85.02,1.51,2.69,Medication,21855.0,Yes,63.71,428.0,7.32,89128.0,0.65,62.27 +16836,China,2015,HIV/AIDS,Metabolic,2.04,1.77,6.76,61+,Other,959263,86.63,3.13,2.96,Therapy,46789.0,No,85.59,543.0,4.08,71435.0,0.58,72.72 +16853,France,2002,Parkinson's Disease,Parasitic,11.12,3.69,6.83,19-35,Male,895127,84.91,4.57,5.82,Therapy,10122.0,No,93.17,4823.0,4.92,77123.0,0.49,33.16 +16870,Brazil,2016,Leprosy,Cardiovascular,16.24,7.79,8.85,36-60,Other,115369,64.67,1.24,9.97,Medication,11554.0,No,79.74,2336.0,0.08,7652.0,0.75,67.9 +16874,France,2022,Cancer,Cardiovascular,12.48,3.51,7.62,36-60,Other,256574,91.89,3.99,2.07,Surgery,22128.0,No,72.26,3434.0,2.85,74444.0,0.55,60.04 +16875,South Korea,2024,Rabies,Metabolic,19.49,12.61,2.92,19-35,Other,767031,90.34,2.74,4.34,Therapy,13027.0,Yes,81.85,75.0,3.5,61846.0,0.71,38.12 +16876,Canada,2002,COVID-19,Metabolic,17.69,3.75,3.57,0-18,Female,791376,91.25,1.84,6.59,Medication,40502.0,Yes,62.07,2240.0,7.26,90565.0,0.56,20.45 +16880,Indonesia,2007,Dengue,Cardiovascular,17.21,1.77,5.66,0-18,Male,932526,61.12,1.9,4.27,Medication,301.0,No,93.59,1439.0,5.59,95804.0,0.49,77.55 +16889,Russia,2014,Rabies,Neurological,12.56,1.03,1.27,19-35,Male,303952,74.31,2.56,9.62,Medication,28967.0,No,64.72,1320.0,3.47,29719.0,0.52,47.56 +16890,Germany,2018,Hepatitis,Viral,5.06,7.05,5.11,19-35,Female,593805,82.0,2.29,0.79,Medication,2300.0,No,50.93,1216.0,0.07,87809.0,0.71,38.04 +16892,Russia,2021,Polio,Genetic,8.94,2.13,6.12,36-60,Male,637398,95.22,4.6,3.84,Therapy,7907.0,No,57.74,2577.0,6.14,37415.0,0.44,23.5 +16894,India,2015,Polio,Chronic,7.1,14.69,3.59,36-60,Other,176346,68.7,0.54,6.24,Medication,10695.0,Yes,85.39,4408.0,8.76,12470.0,0.5,83.72 +16901,France,2011,Cancer,Autoimmune,8.62,11.91,6.47,36-60,Male,782491,98.67,4.92,0.73,Medication,6870.0,Yes,74.16,3676.0,4.62,49744.0,0.51,50.21 +16906,Mexico,2001,Malaria,Respiratory,4.84,10.28,6.99,0-18,Other,536954,91.12,4.96,6.59,Surgery,38816.0,Yes,94.99,4457.0,0.53,39367.0,0.55,60.17 +16933,Brazil,2023,Dengue,Respiratory,19.87,10.03,6.58,19-35,Female,802572,94.73,1.77,6.48,Therapy,3886.0,Yes,93.63,3121.0,5.27,83338.0,0.74,20.05 +16935,South Korea,2021,HIV/AIDS,Parasitic,1.34,10.23,9.99,0-18,Female,345926,73.96,4.5,3.98,Therapy,45933.0,No,60.4,4916.0,4.35,22467.0,0.79,46.49 +16936,France,2002,Dengue,Metabolic,18.41,9.97,0.86,61+,Female,996639,84.71,1.52,0.86,Therapy,20314.0,No,88.52,3769.0,7.67,41662.0,0.63,47.77 +16937,Brazil,2002,Rabies,Genetic,5.57,1.16,5.74,0-18,Other,572216,74.15,0.84,3.4,Medication,8559.0,No,67.74,188.0,4.13,3266.0,0.47,35.73 +16939,Russia,2010,Ebola,Neurological,1.33,7.12,7.58,36-60,Other,300805,68.13,3.3,5.76,Surgery,41195.0,Yes,93.86,1249.0,8.25,44418.0,0.87,32.64 +16941,UK,2007,Measles,Respiratory,9.75,9.05,7.52,0-18,Other,718316,82.59,3.87,3.52,Vaccination,3766.0,Yes,94.04,4119.0,4.91,12060.0,0.46,86.42 +16943,Russia,2000,Malaria,Genetic,15.47,6.57,7.55,61+,Female,141119,76.52,4.79,8.71,Surgery,115.0,No,52.59,3928.0,9.56,40108.0,0.64,79.93 +16948,Japan,2024,Rabies,Genetic,17.04,6.53,2.05,0-18,Female,201815,86.79,2.43,5.93,Medication,18125.0,Yes,56.03,1915.0,0.14,52661.0,0.9,64.31 +16950,Indonesia,2006,Leprosy,Bacterial,11.69,5.86,3.23,36-60,Female,59049,76.51,3.13,1.77,Surgery,4162.0,Yes,70.99,278.0,8.77,91732.0,0.48,44.86 +16955,Argentina,2021,Zika,Infectious,13.49,3.71,5.53,0-18,Male,40281,86.98,0.83,3.0,Surgery,26809.0,Yes,88.14,2066.0,5.69,62468.0,0.8,54.27 +16974,South Africa,2015,Alzheimer's Disease,Cardiovascular,2.35,10.03,8.77,19-35,Other,685840,88.83,3.37,5.89,Medication,29188.0,No,76.16,4011.0,3.56,78655.0,0.48,28.87 +16983,Canada,2022,Hypertension,Parasitic,16.69,10.86,7.63,19-35,Male,835770,98.48,4.34,9.27,Vaccination,40062.0,Yes,66.69,873.0,7.63,71101.0,0.43,86.09 +16988,Mexico,2023,Ebola,Respiratory,3.69,1.24,5.53,19-35,Male,112419,59.52,1.97,7.64,Therapy,2187.0,No,83.69,4287.0,5.96,71891.0,0.46,34.44 +17000,Italy,2001,Dengue,Parasitic,0.52,11.28,1.84,19-35,Male,515877,87.9,4.4,0.53,Vaccination,35018.0,Yes,51.83,2102.0,3.83,92969.0,0.49,80.03 +17005,South Africa,2004,Hepatitis,Viral,8.4,9.5,6.8,61+,Female,482155,92.58,3.73,5.42,Vaccination,9249.0,No,97.77,2110.0,8.92,17655.0,0.51,57.39 +17007,India,2008,HIV/AIDS,Chronic,11.14,10.93,4.81,19-35,Other,324304,85.2,3.78,2.3,Surgery,22704.0,No,86.39,1030.0,1.39,55304.0,0.59,74.92 +17008,Australia,2019,Malaria,Infectious,1.9,8.83,9.1,61+,Female,803342,92.55,2.52,3.62,Therapy,7861.0,No,87.22,1071.0,0.89,11204.0,0.54,56.53 +17017,Germany,2016,Measles,Infectious,3.47,5.65,8.95,19-35,Male,804325,79.67,3.43,0.84,Medication,9204.0,Yes,55.17,3538.0,4.28,45517.0,0.57,71.58 +17019,Australia,2021,Alzheimer's Disease,Autoimmune,8.38,14.2,6.88,0-18,Male,974371,52.9,4.5,1.81,Medication,35626.0,Yes,61.14,134.0,9.11,28414.0,0.82,47.4 +17025,Argentina,2002,Ebola,Bacterial,14.66,4.09,1.88,36-60,Female,218324,86.09,0.74,6.07,Medication,18335.0,No,55.83,3966.0,4.07,86917.0,0.82,49.4 +17028,Indonesia,2023,Zika,Respiratory,15.64,11.15,3.76,61+,Other,195407,91.9,1.2,1.99,Therapy,20045.0,No,75.8,1108.0,7.92,30849.0,0.54,61.39 +17037,UK,2017,Malaria,Respiratory,18.43,9.09,6.44,0-18,Other,567448,59.64,2.73,8.79,Vaccination,19599.0,Yes,74.36,2041.0,3.63,19734.0,0.88,29.31 +17056,Australia,2012,Rabies,Neurological,8.22,7.88,6.03,19-35,Female,565500,91.19,3.5,6.09,Therapy,32431.0,No,69.86,1203.0,0.31,39952.0,0.45,83.17 +17062,South Africa,2024,Influenza,Metabolic,17.36,1.26,9.79,19-35,Male,646572,98.19,4.09,6.06,Vaccination,42492.0,No,66.53,1736.0,5.38,29380.0,0.68,31.44 +17073,Japan,2010,Ebola,Chronic,5.9,5.04,5.46,36-60,Other,879750,97.15,1.22,6.29,Therapy,6819.0,No,54.79,1230.0,2.18,90857.0,0.4,22.18 +17090,Japan,2001,Alzheimer's Disease,Genetic,16.32,6.62,5.32,0-18,Male,9080,62.22,2.69,1.35,Surgery,49450.0,Yes,85.53,2360.0,2.44,68190.0,0.74,67.09 +17091,South Korea,2006,Asthma,Autoimmune,11.42,12.84,3.69,61+,Male,479762,71.66,0.78,1.01,Therapy,29377.0,Yes,58.34,4512.0,1.2,73890.0,0.82,76.04 +17103,China,2011,Leprosy,Parasitic,9.91,8.47,5.6,19-35,Other,815410,94.44,2.48,2.65,Surgery,15739.0,Yes,92.97,2015.0,4.69,54327.0,0.49,66.86 +17106,Saudi Arabia,2000,Asthma,Genetic,11.07,12.16,4.16,61+,Female,810968,71.26,1.83,4.31,Medication,41942.0,Yes,74.87,4263.0,7.04,78802.0,0.5,51.23 +17108,UK,2021,Dengue,Metabolic,4.61,12.83,1.9,0-18,Male,928747,93.03,4.62,7.01,Therapy,905.0,Yes,93.61,165.0,0.87,92987.0,0.88,55.77 +17110,Italy,2013,Influenza,Genetic,0.97,14.12,0.19,36-60,Male,710061,69.87,3.84,6.03,Therapy,6152.0,Yes,83.3,3337.0,8.99,48167.0,0.89,39.64 +17111,Saudi Arabia,2008,Polio,Bacterial,0.5,8.38,0.52,61+,Male,289591,53.5,0.95,6.39,Medication,6159.0,No,65.93,881.0,7.37,1381.0,0.54,67.18 +17114,Canada,2022,Measles,Neurological,4.13,13.73,9.47,19-35,Male,808999,80.62,2.72,4.15,Surgery,10068.0,Yes,65.53,3197.0,3.74,25328.0,0.64,20.59 +17119,India,2005,Cholera,Chronic,9.58,7.3,5.02,61+,Female,397259,91.12,2.59,8.09,Surgery,47525.0,No,96.86,316.0,1.21,2348.0,0.51,67.02 +17121,Indonesia,2024,Zika,Neurological,16.19,7.59,2.24,36-60,Other,635104,76.9,3.63,9.09,Surgery,11253.0,Yes,74.46,2022.0,1.15,85721.0,0.72,67.32 +17122,Japan,2024,Alzheimer's Disease,Metabolic,7.41,1.39,9.03,0-18,Female,379539,74.32,3.48,3.89,Surgery,9424.0,Yes,96.13,1554.0,3.87,68786.0,0.58,28.66 +17123,Japan,2023,Tuberculosis,Neurological,8.23,10.18,7.09,19-35,Female,747553,54.17,3.44,8.24,Therapy,43873.0,Yes,65.09,4204.0,3.86,42740.0,0.69,40.79 +17124,Argentina,2010,Polio,Chronic,15.84,7.46,8.96,36-60,Other,145097,77.9,4.63,7.51,Surgery,24717.0,Yes,67.31,754.0,1.89,78498.0,0.76,77.91 +17125,Mexico,2011,Tuberculosis,Neurological,4.59,13.9,3.8,19-35,Female,431287,79.55,4.62,8.21,Medication,42060.0,Yes,52.2,3725.0,6.62,62494.0,0.48,20.92 +17129,India,2014,Malaria,Parasitic,1.97,4.49,3.8,0-18,Male,296239,86.93,1.84,4.88,Medication,37715.0,No,98.42,3316.0,6.6,81886.0,0.87,60.32 +17148,UK,2003,Hepatitis,Autoimmune,4.38,10.14,0.32,61+,Male,86143,70.78,1.58,2.09,Vaccination,19922.0,Yes,61.12,3143.0,4.13,16352.0,0.78,74.27 +17165,Brazil,2024,Parkinson's Disease,Infectious,1.56,1.34,7.87,36-60,Other,506420,98.64,2.29,3.84,Surgery,44228.0,Yes,83.21,1383.0,2.71,37296.0,0.68,30.08 +17171,Canada,2002,Rabies,Infectious,17.76,0.32,5.87,36-60,Other,937708,65.35,1.56,5.5,Vaccination,2081.0,Yes,88.38,367.0,3.14,65149.0,0.65,22.26 +17176,China,2016,Alzheimer's Disease,Bacterial,2.03,9.05,8.63,36-60,Female,57310,76.42,2.91,5.78,Vaccination,37978.0,No,76.28,4165.0,7.56,14082.0,0.46,83.19 +17179,Turkey,2007,Rabies,Bacterial,11.28,14.23,8.33,19-35,Female,230346,90.01,3.61,5.06,Surgery,8096.0,No,57.3,1305.0,9.22,60192.0,0.52,87.35 +17194,Mexico,2020,Parkinson's Disease,Parasitic,14.41,8.84,1.47,61+,Female,96607,76.57,4.47,0.94,Vaccination,14774.0,Yes,69.18,288.0,6.2,26904.0,0.75,44.7 +17198,South Korea,2014,Diabetes,Cardiovascular,3.02,5.74,7.22,0-18,Other,756377,90.16,0.69,9.41,Medication,35556.0,No,59.06,2036.0,2.96,75041.0,0.57,36.19 +17200,Turkey,2013,COVID-19,Metabolic,17.92,8.54,1.28,61+,Other,204083,61.66,1.84,2.65,Vaccination,25824.0,Yes,69.76,1346.0,5.07,17484.0,0.86,65.76 +17211,Saudi Arabia,2004,Asthma,Respiratory,18.75,11.91,3.1,61+,Male,274036,52.17,4.94,4.82,Therapy,35570.0,Yes,53.45,3350.0,8.81,59536.0,0.88,41.74 +17222,USA,2007,Ebola,Bacterial,1.69,1.81,2.66,61+,Other,706934,79.09,4.59,0.92,Medication,34866.0,No,87.74,3087.0,1.18,25415.0,0.78,53.04 +17225,Turkey,2007,Alzheimer's Disease,Neurological,2.66,13.48,1.38,36-60,Male,305294,70.06,4.12,4.48,Medication,14169.0,Yes,67.65,2820.0,3.43,41780.0,0.77,66.95 +17228,Saudi Arabia,2023,Ebola,Parasitic,7.66,7.26,8.76,19-35,Female,966928,55.97,4.31,4.65,Therapy,25522.0,Yes,62.9,3636.0,3.24,11356.0,0.49,60.13 +17234,Argentina,2012,Influenza,Chronic,19.76,4.97,9.88,0-18,Female,116562,71.34,4.79,1.28,Therapy,42251.0,No,91.95,1421.0,1.36,53040.0,0.75,32.2 +17237,USA,2004,Ebola,Cardiovascular,15.51,4.04,1.75,61+,Male,130720,94.68,0.64,3.73,Therapy,23782.0,Yes,94.86,711.0,7.33,31641.0,0.89,23.28 +17238,Argentina,2002,Cholera,Autoimmune,7.19,3.59,6.06,61+,Other,138998,93.91,4.89,5.9,Therapy,28786.0,Yes,56.69,4205.0,6.38,56198.0,0.56,77.63 +17240,Italy,2010,Zika,Metabolic,12.1,4.66,4.97,36-60,Other,144252,68.09,1.21,7.42,Surgery,39432.0,Yes,81.52,3603.0,2.56,68967.0,0.57,88.4 +17249,South Korea,2014,Zika,Infectious,16.65,7.04,5.63,61+,Female,106602,79.38,4.51,1.59,Vaccination,1829.0,Yes,88.63,2334.0,9.79,65522.0,0.83,80.56 +17250,Canada,2014,Zika,Parasitic,7.38,8.54,7.88,19-35,Female,204860,82.94,0.64,3.49,Vaccination,42685.0,Yes,87.35,3935.0,3.62,75738.0,0.54,80.55 +17252,USA,2015,Rabies,Genetic,9.89,8.58,4.27,0-18,Other,718436,93.73,3.25,3.94,Medication,30939.0,No,74.07,460.0,4.35,3780.0,0.46,37.99 +17256,Nigeria,2012,Hepatitis,Parasitic,15.32,1.44,3.02,0-18,Male,880086,61.68,3.66,1.02,Surgery,2039.0,Yes,88.67,1764.0,4.49,66300.0,0.62,32.65 +17257,India,2022,COVID-19,Autoimmune,1.0,6.93,8.98,36-60,Other,4148,54.5,3.88,3.84,Therapy,49305.0,Yes,51.8,3042.0,8.16,39218.0,0.57,37.31 +17264,India,2001,HIV/AIDS,Infectious,8.96,4.28,9.43,61+,Female,860140,54.33,3.28,4.42,Medication,27071.0,No,56.6,1105.0,8.51,60559.0,0.52,74.72 +17266,Argentina,2004,Leprosy,Genetic,10.66,7.32,9.24,0-18,Male,182216,90.43,2.06,2.1,Surgery,42800.0,Yes,85.58,4428.0,8.23,55049.0,0.47,29.53 +17267,South Africa,2023,Asthma,Respiratory,17.76,14.64,7.13,36-60,Female,74807,98.14,1.58,4.51,Therapy,7090.0,Yes,67.05,2094.0,2.18,64441.0,0.84,56.59 +17275,Japan,2014,Diabetes,Genetic,8.05,0.11,3.55,19-35,Male,179599,84.72,2.4,4.93,Surgery,2390.0,No,91.74,4313.0,0.31,60647.0,0.68,85.07 +17282,France,2003,Hepatitis,Parasitic,13.34,10.09,2.2,61+,Other,116190,97.35,4.28,1.23,Surgery,36969.0,Yes,60.59,2773.0,5.06,67639.0,0.77,33.75 +17297,South Korea,2014,HIV/AIDS,Metabolic,13.35,3.04,1.99,19-35,Other,78808,50.84,0.88,1.39,Therapy,48114.0,Yes,85.58,867.0,3.45,48994.0,0.77,32.71 +17303,Japan,2001,HIV/AIDS,Parasitic,9.8,8.76,0.8,61+,Other,761709,69.1,0.95,4.27,Therapy,24592.0,Yes,74.95,363.0,7.12,80745.0,0.73,75.88 +17306,Japan,2004,Alzheimer's Disease,Bacterial,16.13,5.97,8.62,0-18,Other,795646,68.93,2.24,8.2,Therapy,30785.0,No,86.44,3804.0,0.03,30182.0,0.66,71.02 +17308,Italy,2006,Dengue,Infectious,12.63,11.0,2.75,0-18,Female,663965,67.71,2.75,9.05,Therapy,26558.0,No,80.98,3092.0,0.64,63627.0,0.62,64.56 +17309,South Korea,2005,Asthma,Bacterial,10.31,5.89,5.75,61+,Female,809062,70.95,4.9,2.71,Vaccination,47599.0,Yes,86.87,4136.0,1.2,60185.0,0.59,60.44 +17312,UK,2002,Hypertension,Bacterial,4.12,1.58,9.14,19-35,Male,282262,69.85,2.75,5.77,Vaccination,2454.0,No,50.14,2177.0,6.97,4484.0,0.85,51.76 +17316,China,2013,Alzheimer's Disease,Parasitic,15.76,9.01,5.6,0-18,Other,169150,83.49,4.39,8.89,Surgery,24645.0,No,91.24,4429.0,0.53,65722.0,0.81,69.67 +17320,China,2011,Asthma,Autoimmune,19.98,4.94,8.72,0-18,Male,812083,55.46,2.33,6.69,Medication,31200.0,Yes,75.8,2494.0,6.2,40412.0,0.49,42.91 +17323,Indonesia,2004,Diabetes,Autoimmune,17.58,12.04,2.6,19-35,Male,23998,54.82,4.78,1.04,Vaccination,27145.0,No,50.74,511.0,2.28,16137.0,0.88,28.63 +17328,Saudi Arabia,2005,Rabies,Metabolic,9.41,2.23,3.06,36-60,Male,746097,62.68,2.02,5.68,Medication,26506.0,No,78.92,904.0,8.59,39438.0,0.72,56.86 +17329,Japan,2020,Parkinson's Disease,Metabolic,9.22,4.13,7.71,61+,Female,778617,79.29,2.11,9.43,Therapy,48554.0,No,83.26,1413.0,4.19,87966.0,0.68,78.81 +17336,Italy,2013,Alzheimer's Disease,Viral,0.19,11.42,6.22,36-60,Other,159742,91.23,3.03,8.1,Therapy,8647.0,Yes,65.78,1289.0,8.95,15533.0,0.8,54.29 +17352,USA,2003,Dengue,Neurological,6.44,2.78,8.24,36-60,Male,581124,78.9,1.37,1.83,Vaccination,8254.0,Yes,88.7,2495.0,6.83,29667.0,0.63,79.48 +17357,Argentina,2023,Measles,Chronic,12.68,6.67,7.04,19-35,Other,339666,82.56,2.69,5.96,Vaccination,31833.0,No,97.23,4696.0,6.74,80734.0,0.66,85.2 +17359,UK,2019,Diabetes,Genetic,2.08,0.18,7.05,61+,Male,908420,53.67,2.95,7.19,Vaccination,17492.0,No,63.49,4958.0,4.09,61071.0,0.41,71.07 +17363,Russia,2000,Dengue,Metabolic,2.89,3.73,2.37,0-18,Female,647105,64.32,4.73,6.95,Vaccination,48359.0,No,56.62,4541.0,2.27,25030.0,0.55,73.76 +17365,Saudi Arabia,2020,Ebola,Cardiovascular,3.58,14.9,6.64,61+,Female,183613,96.6,2.25,8.67,Surgery,11304.0,Yes,77.55,2215.0,3.07,95189.0,0.83,72.89 +17366,Turkey,2006,Hepatitis,Neurological,6.75,6.74,6.05,0-18,Other,449857,71.57,3.71,6.77,Surgery,35257.0,Yes,55.69,2602.0,4.48,49395.0,0.81,82.35 +17376,South Korea,2020,Dengue,Genetic,5.24,1.82,5.83,0-18,Female,65913,64.66,0.77,6.55,Therapy,43808.0,Yes,56.83,2404.0,7.0,89741.0,0.69,81.68 +17379,Russia,2013,Malaria,Respiratory,4.13,7.39,4.75,61+,Other,591378,73.2,1.9,2.55,Medication,41277.0,No,89.83,2691.0,3.89,48161.0,0.88,59.83 +17386,Nigeria,2007,Parkinson's Disease,Neurological,15.79,5.0,5.0,36-60,Other,971793,95.31,1.01,6.98,Medication,535.0,No,88.57,4157.0,4.14,14026.0,0.85,84.79 +17389,France,2007,Alzheimer's Disease,Metabolic,12.02,7.0,5.66,0-18,Other,454318,52.34,3.38,1.72,Surgery,46073.0,Yes,97.06,379.0,1.36,51763.0,0.45,36.87 +17391,Indonesia,2001,Cancer,Cardiovascular,14.98,11.24,3.03,36-60,Male,945954,74.71,1.4,8.02,Surgery,45362.0,No,74.32,786.0,5.07,54340.0,0.7,45.58 +17393,Indonesia,2013,HIV/AIDS,Cardiovascular,18.17,2.0,7.03,0-18,Male,89182,88.13,2.36,8.7,Medication,36297.0,No,58.02,4273.0,8.46,34305.0,0.42,36.32 +17394,UK,2017,Hepatitis,Genetic,8.08,4.22,3.56,0-18,Male,307772,52.12,4.04,4.05,Vaccination,4970.0,No,87.27,1243.0,0.28,12925.0,0.56,77.79 +17400,Canada,2007,Tuberculosis,Neurological,15.12,7.95,8.77,19-35,Other,329600,94.9,2.96,9.11,Vaccination,15731.0,No,95.72,183.0,2.82,55045.0,0.57,34.2 +17406,South Korea,2008,Malaria,Metabolic,1.12,11.16,2.82,36-60,Male,162672,71.56,2.86,7.75,Therapy,33901.0,No,56.8,2241.0,4.87,66683.0,0.67,76.82 +17407,France,2004,Hypertension,Neurological,6.06,13.16,7.59,19-35,Other,803085,68.61,4.35,2.15,Vaccination,40327.0,No,85.32,799.0,2.57,80777.0,0.83,73.93 +17410,Canada,2004,Cancer,Metabolic,7.35,8.99,4.31,19-35,Male,895901,66.79,3.25,6.81,Surgery,10621.0,No,61.07,2564.0,7.78,54045.0,0.45,72.49 +17421,India,2012,Alzheimer's Disease,Bacterial,9.91,1.3,5.35,0-18,Female,453847,89.9,0.91,1.06,Surgery,46767.0,Yes,72.59,4311.0,0.04,88000.0,0.71,70.27 +17436,Brazil,2010,Alzheimer's Disease,Cardiovascular,10.82,4.74,7.08,61+,Male,851312,75.85,4.67,5.71,Therapy,42652.0,No,86.31,1186.0,9.4,86569.0,0.85,80.01 +17439,Russia,2016,Cholera,Bacterial,16.45,13.77,8.78,19-35,Other,97651,65.4,0.92,8.81,Therapy,4912.0,Yes,55.06,2987.0,6.66,34021.0,0.58,68.18 +17442,Nigeria,2002,Cholera,Autoimmune,4.18,11.13,6.79,0-18,Other,779954,50.4,3.97,2.43,Vaccination,28104.0,Yes,82.51,1525.0,3.23,68700.0,0.84,87.35 +17443,Australia,2007,Leprosy,Neurological,12.35,6.77,4.92,0-18,Male,957680,61.8,4.94,7.0,Vaccination,12475.0,No,50.21,4663.0,6.69,40777.0,0.68,45.77 +17448,China,2000,Alzheimer's Disease,Infectious,15.51,1.09,4.35,61+,Male,901150,55.06,2.07,3.24,Vaccination,5695.0,No,55.57,1897.0,7.34,79695.0,0.86,83.96 +17456,Turkey,2003,Tuberculosis,Bacterial,15.04,4.37,3.23,36-60,Female,62178,50.63,1.6,6.35,Vaccination,17988.0,No,69.59,972.0,2.43,82660.0,0.81,36.51 +17459,Turkey,2006,COVID-19,Viral,10.23,14.8,9.73,61+,Other,691679,82.62,3.81,5.37,Therapy,8367.0,Yes,50.58,676.0,8.67,73186.0,0.4,80.64 +17461,Australia,2001,Dengue,Chronic,3.0,3.4,9.33,36-60,Other,245958,98.42,4.42,1.15,Vaccination,11031.0,Yes,58.48,4438.0,2.8,47692.0,0.43,84.57 +17462,Canada,2000,Zika,Infectious,14.21,2.5,1.3,36-60,Other,698274,51.07,1.42,2.7,Surgery,45455.0,No,53.96,2294.0,6.84,25698.0,0.73,77.76 +17479,Japan,2010,Alzheimer's Disease,Infectious,0.18,9.37,2.56,0-18,Other,182899,59.01,1.68,0.63,Vaccination,33983.0,Yes,82.31,696.0,0.43,98061.0,0.4,68.68 +17482,France,2011,COVID-19,Genetic,19.5,9.35,8.09,36-60,Male,234595,50.63,0.91,2.2,Medication,34153.0,No,90.62,2305.0,7.95,39393.0,0.73,66.23 +17486,South Africa,2013,Measles,Autoimmune,9.81,7.24,7.94,0-18,Other,917925,73.37,2.62,6.69,Therapy,4657.0,Yes,75.95,4729.0,5.55,5926.0,0.45,77.65 +17488,Italy,2006,Alzheimer's Disease,Metabolic,0.29,11.02,9.1,36-60,Other,189041,86.95,1.58,2.49,Therapy,31829.0,Yes,52.37,4527.0,1.27,12274.0,0.61,25.44 +17498,Canada,2000,Zika,Genetic,16.42,11.66,5.96,0-18,Male,694597,79.12,1.55,5.47,Surgery,458.0,Yes,77.04,3809.0,1.41,51732.0,0.62,54.17 +17499,Saudi Arabia,2019,Cancer,Genetic,3.8,13.43,5.96,19-35,Male,3110,60.95,4.29,3.83,Therapy,7607.0,Yes,86.93,2860.0,9.67,22615.0,0.5,30.12 +17503,Japan,2004,Hepatitis,Respiratory,0.35,12.68,5.3,61+,Female,400216,70.32,0.81,8.05,Therapy,38622.0,Yes,60.81,978.0,2.45,45587.0,0.5,44.8 +17504,Saudi Arabia,2010,Polio,Neurological,5.56,8.4,3.27,36-60,Other,174896,90.07,4.78,2.51,Surgery,12171.0,No,55.65,2415.0,7.14,43346.0,0.73,70.73 +17512,Italy,2006,Leprosy,Parasitic,0.73,2.93,7.18,19-35,Male,683088,73.97,2.72,7.63,Medication,31382.0,Yes,60.91,3067.0,9.03,36214.0,0.5,87.39 +17516,South Korea,2019,Dengue,Metabolic,2.67,10.99,1.96,36-60,Male,642156,77.32,4.37,5.02,Medication,43197.0,No,76.19,1269.0,1.95,31131.0,0.58,80.62 +17517,Brazil,2005,Asthma,Bacterial,16.45,11.04,8.96,0-18,Female,479121,77.08,2.17,5.57,Vaccination,14933.0,Yes,86.36,2845.0,3.78,13720.0,0.7,34.48 +17518,Russia,2002,Measles,Autoimmune,5.84,9.39,2.26,19-35,Other,415841,64.28,1.19,7.76,Medication,25336.0,Yes,61.58,2622.0,9.98,12456.0,0.42,59.89 +17522,South Africa,2022,Polio,Bacterial,8.04,6.65,0.1,36-60,Male,15322,72.64,2.38,3.44,Surgery,20862.0,No,61.93,3009.0,0.41,9442.0,0.53,38.56 +17528,Mexico,2014,HIV/AIDS,Chronic,3.65,5.72,2.02,36-60,Female,474839,52.26,2.32,9.44,Surgery,23429.0,No,71.77,1859.0,9.85,91738.0,0.58,35.82 +17529,Argentina,2004,Alzheimer's Disease,Autoimmune,15.92,13.53,4.7,36-60,Other,592728,52.57,1.84,1.16,Vaccination,31340.0,No,50.7,4221.0,7.24,28381.0,0.53,29.84 +17539,Mexico,2017,Malaria,Chronic,6.64,3.64,1.13,0-18,Female,496465,68.34,3.61,8.16,Vaccination,6817.0,No,77.78,2161.0,8.8,42586.0,0.73,46.25 +17548,South Korea,2024,Leprosy,Metabolic,11.02,0.81,9.74,19-35,Other,140178,62.74,3.38,3.15,Medication,44175.0,Yes,82.16,2460.0,4.04,6876.0,0.84,33.72 +17550,France,2004,Cholera,Autoimmune,8.01,5.42,3.11,0-18,Female,906378,67.66,4.19,7.25,Medication,37361.0,Yes,94.15,3686.0,4.24,3411.0,0.44,49.03 +17555,Saudi Arabia,2024,Dengue,Metabolic,0.74,7.78,0.27,61+,Male,540179,94.28,1.95,5.39,Vaccination,5818.0,Yes,70.43,978.0,3.24,26193.0,0.79,81.97 +17560,Turkey,2019,Diabetes,Autoimmune,3.94,2.71,6.54,0-18,Female,543850,94.83,3.41,5.59,Therapy,11848.0,No,76.85,73.0,7.29,84268.0,0.8,76.33 +17574,Mexico,2016,Malaria,Parasitic,6.51,9.33,7.92,61+,Male,596945,78.47,3.7,3.73,Medication,34084.0,No,98.18,4631.0,3.13,21616.0,0.49,34.62 +17575,South Korea,2014,Influenza,Autoimmune,0.28,8.34,9.31,36-60,Male,706329,54.63,2.6,1.5,Medication,43002.0,Yes,60.82,107.0,9.92,13127.0,0.69,47.33 +17577,Turkey,2000,Cholera,Bacterial,2.96,13.49,5.23,0-18,Other,419154,78.06,3.92,4.76,Surgery,21674.0,No,65.97,4913.0,9.32,2372.0,0.78,77.13 +17583,India,2022,Polio,Neurological,17.02,6.33,1.6,36-60,Female,369266,77.19,1.7,9.71,Therapy,36786.0,No,84.11,2326.0,2.72,31880.0,0.71,76.38 +17594,Brazil,2009,Alzheimer's Disease,Neurological,4.99,12.47,1.23,61+,Other,145790,69.86,3.05,9.34,Surgery,30307.0,Yes,72.7,4009.0,7.77,14724.0,0.48,28.49 +17595,France,2003,Rabies,Autoimmune,15.77,1.45,1.97,19-35,Female,989775,64.86,0.87,3.92,Therapy,13533.0,Yes,76.09,1969.0,7.81,39681.0,0.64,54.52 +17600,India,2020,Tuberculosis,Genetic,8.56,14.98,3.23,61+,Female,240361,58.65,2.11,2.8,Surgery,18554.0,Yes,55.83,2499.0,9.01,17096.0,0.87,88.94 +17601,Germany,2018,Diabetes,Infectious,9.38,14.7,7.17,19-35,Female,937371,55.48,3.65,4.86,Medication,41907.0,No,58.65,2553.0,5.72,60820.0,0.62,87.02 +17604,Japan,2009,Measles,Bacterial,18.61,5.5,8.04,61+,Other,637987,99.74,4.18,5.25,Vaccination,18120.0,Yes,96.31,118.0,4.7,41049.0,0.86,20.82 +17616,South Korea,2012,Cancer,Autoimmune,13.46,1.08,9.63,19-35,Male,210187,68.59,1.37,6.91,Medication,22437.0,Yes,83.83,4342.0,8.44,39507.0,0.75,56.54 +17623,France,2004,HIV/AIDS,Cardiovascular,13.34,10.08,5.41,61+,Other,634979,79.0,2.15,3.02,Therapy,44205.0,No,97.21,3295.0,9.42,3974.0,0.63,35.15 +17625,Canada,2005,Influenza,Respiratory,14.04,7.47,9.93,0-18,Female,287012,68.44,2.7,8.65,Therapy,2833.0,Yes,58.95,3392.0,1.35,19501.0,0.82,45.78 +17629,Argentina,2009,Influenza,Bacterial,14.76,10.59,2.58,19-35,Female,854177,50.45,1.55,3.63,Medication,30020.0,No,60.96,765.0,0.17,49804.0,0.67,62.51 +17632,Italy,2023,Cancer,Infectious,11.03,2.85,1.65,19-35,Female,1666,99.97,0.82,5.8,Therapy,33786.0,No,67.09,3188.0,5.07,66639.0,0.81,31.72 +17642,Russia,2012,Diabetes,Genetic,1.72,6.19,6.26,0-18,Other,617458,83.04,3.58,9.6,Surgery,27604.0,No,67.15,2514.0,3.2,62619.0,0.62,30.72 +17646,Turkey,2008,Asthma,Respiratory,19.99,3.97,2.47,61+,Male,558494,82.16,2.03,1.32,Medication,38382.0,Yes,69.27,2588.0,6.09,66630.0,0.7,35.26 +17669,Indonesia,2016,Tuberculosis,Respiratory,18.59,9.75,2.05,36-60,Other,262454,92.65,2.65,0.9,Surgery,843.0,No,81.48,164.0,5.9,85466.0,0.8,29.42 +17671,Canada,2018,Cancer,Viral,17.02,12.86,2.33,19-35,Other,4867,55.17,2.35,5.71,Medication,20091.0,No,93.59,2376.0,3.39,73921.0,0.76,70.13 +17672,Turkey,2000,Zika,Infectious,15.9,8.44,9.81,61+,Female,860863,79.65,2.44,1.73,Surgery,10477.0,No,82.96,3861.0,4.78,16832.0,0.47,83.18 +17677,Australia,2021,Hepatitis,Neurological,6.14,5.29,6.59,61+,Female,339896,55.0,1.01,6.11,Vaccination,17641.0,No,82.72,2468.0,1.13,20295.0,0.53,39.85 +17681,Japan,2009,Leprosy,Cardiovascular,15.78,10.48,1.61,61+,Female,671483,83.06,1.88,1.5,Surgery,38705.0,Yes,88.84,343.0,8.1,79392.0,0.41,65.35 +17682,Nigeria,2008,Measles,Autoimmune,16.09,5.47,3.65,19-35,Female,193883,59.18,4.76,4.05,Surgery,20634.0,Yes,77.55,3507.0,3.76,88711.0,0.49,71.68 +17683,South Korea,2006,Influenza,Parasitic,15.87,12.15,6.82,61+,Female,968077,84.37,1.03,3.28,Therapy,12962.0,Yes,54.34,4187.0,4.91,84075.0,0.65,75.32 +17685,Mexico,2005,Rabies,Respiratory,10.17,13.25,8.88,19-35,Female,581222,88.68,2.64,7.87,Therapy,7267.0,Yes,64.46,1038.0,5.48,71961.0,0.87,82.01 +17686,Russia,2007,Zika,Parasitic,5.14,11.25,3.43,36-60,Female,791754,72.25,4.29,7.01,Therapy,30647.0,Yes,57.05,4621.0,2.68,15955.0,0.67,21.7 +17689,Saudi Arabia,2018,Dengue,Respiratory,16.58,4.71,1.34,36-60,Other,458653,72.05,4.73,5.14,Therapy,9747.0,Yes,91.33,4426.0,0.13,24498.0,0.46,63.12 +17703,Argentina,2023,Influenza,Parasitic,14.18,10.76,8.02,0-18,Other,859848,90.05,3.15,0.78,Surgery,30939.0,Yes,92.46,675.0,8.79,25138.0,0.87,69.57 +17712,France,2009,Malaria,Viral,3.55,12.6,3.68,36-60,Other,950776,90.32,3.58,7.87,Vaccination,9352.0,Yes,92.82,4337.0,5.68,79481.0,0.52,85.1 +17714,USA,2001,Zika,Parasitic,2.07,3.31,4.49,36-60,Other,133677,59.01,4.68,3.41,Vaccination,44556.0,No,67.69,4971.0,6.96,3112.0,0.63,54.26 +17717,Australia,2012,Cancer,Cardiovascular,0.73,6.32,0.89,36-60,Male,171345,79.64,3.31,8.66,Vaccination,780.0,Yes,84.54,2458.0,8.58,26849.0,0.54,59.98 +17718,Saudi Arabia,2013,Tuberculosis,Cardiovascular,4.96,14.49,0.92,19-35,Male,23818,76.9,3.71,8.77,Medication,39815.0,No,76.84,1548.0,5.82,8109.0,0.87,75.56 +17725,Turkey,2005,Measles,Genetic,15.59,4.56,5.5,0-18,Female,820861,64.83,4.53,1.27,Vaccination,24619.0,No,78.34,337.0,7.32,49791.0,0.58,23.46 +17733,France,2008,COVID-19,Parasitic,13.87,0.35,5.07,0-18,Male,309076,59.82,2.58,3.44,Surgery,8370.0,No,96.18,1711.0,8.88,40332.0,0.48,77.67 +17736,Indonesia,2010,Leprosy,Infectious,6.44,0.62,5.27,61+,Other,651437,53.69,0.83,7.23,Medication,45868.0,No,96.24,2839.0,2.44,32096.0,0.74,22.88 +17762,Argentina,2020,Ebola,Neurological,14.88,4.34,9.16,19-35,Female,655136,74.49,1.39,9.67,Medication,26354.0,No,80.83,233.0,5.17,19732.0,0.46,34.77 +17764,USA,2022,Cancer,Parasitic,5.35,0.31,5.9,19-35,Female,448392,60.45,4.48,2.14,Surgery,48688.0,No,73.53,332.0,4.17,48784.0,0.67,66.67 +17766,Japan,2011,Measles,Autoimmune,18.28,12.29,9.16,0-18,Female,909299,85.52,0.85,2.47,Vaccination,22684.0,Yes,74.21,3602.0,9.09,94082.0,0.77,48.5 +17774,Japan,2001,Diabetes,Bacterial,1.86,1.6,3.65,0-18,Female,752268,86.04,1.09,4.04,Surgery,45385.0,Yes,59.86,4027.0,4.7,24013.0,0.54,51.92 +17776,Indonesia,2011,Asthma,Parasitic,15.33,8.8,4.89,19-35,Other,751304,54.8,1.97,8.35,Therapy,37008.0,Yes,56.76,2474.0,3.45,51991.0,0.84,46.74 +17777,India,2011,Polio,Parasitic,7.34,8.29,2.13,19-35,Female,837133,67.06,1.47,5.62,Vaccination,35569.0,No,59.63,2419.0,9.99,84261.0,0.62,82.49 +17780,UK,2010,Leprosy,Respiratory,14.16,9.52,1.98,36-60,Female,646287,55.26,0.59,7.13,Medication,25911.0,Yes,60.87,3761.0,8.64,59308.0,0.77,64.42 +17782,France,2024,Parkinson's Disease,Infectious,1.02,6.99,3.76,61+,Male,777844,84.66,1.69,1.26,Vaccination,18581.0,Yes,72.25,1031.0,0.05,79902.0,0.41,76.38 +17785,China,2021,Tuberculosis,Genetic,7.86,7.51,8.13,36-60,Male,564793,89.28,2.21,2.62,Vaccination,10572.0,No,81.64,3713.0,6.67,85339.0,0.81,42.73 +17788,Canada,2013,HIV/AIDS,Viral,18.26,1.03,1.71,0-18,Other,586019,83.25,3.35,0.93,Surgery,28080.0,Yes,54.86,742.0,8.35,90449.0,0.72,27.04 +17792,USA,2000,Measles,Autoimmune,8.6,3.77,5.45,0-18,Female,727607,97.55,2.17,3.22,Medication,7374.0,Yes,69.02,3275.0,4.05,56122.0,0.7,67.14 +17795,UK,2019,Parkinson's Disease,Neurological,3.98,9.56,1.57,61+,Female,605247,62.13,0.79,1.09,Vaccination,15390.0,No,57.33,4043.0,1.56,95966.0,0.87,76.48 +17808,Canada,2013,Hepatitis,Bacterial,19.16,1.31,5.46,36-60,Male,461397,71.94,2.43,6.22,Surgery,44716.0,Yes,74.66,2747.0,1.39,96991.0,0.76,20.31 +17809,India,2018,Ebola,Genetic,2.58,7.62,9.62,61+,Female,468331,52.94,3.08,6.32,Therapy,29440.0,No,50.58,2866.0,8.75,76389.0,0.72,85.73 +17812,India,2009,Parkinson's Disease,Neurological,3.69,12.8,8.46,36-60,Male,302334,89.12,2.6,2.47,Surgery,49390.0,No,53.72,76.0,7.12,11224.0,0.59,23.45 +17831,South Korea,2008,HIV/AIDS,Chronic,1.22,14.07,0.63,36-60,Female,851297,77.42,1.08,4.93,Surgery,10243.0,Yes,63.26,4067.0,1.75,39822.0,0.9,66.34 +17832,Indonesia,2004,Ebola,Bacterial,15.21,2.0,8.79,61+,Other,125174,60.32,3.84,6.76,Surgery,14359.0,No,94.04,2986.0,5.96,34821.0,0.42,72.92 +17835,USA,2024,Tuberculosis,Cardiovascular,19.44,1.19,1.24,0-18,Other,758765,77.64,3.83,1.05,Surgery,13959.0,No,61.12,719.0,3.73,61095.0,0.89,85.94 +17837,Argentina,2008,Asthma,Cardiovascular,2.01,7.4,1.11,0-18,Female,755904,56.74,2.28,4.99,Vaccination,14863.0,Yes,67.97,125.0,6.38,31348.0,0.8,58.48 +17848,Australia,2024,Hepatitis,Infectious,6.25,11.74,2.79,0-18,Male,440649,65.86,2.5,7.99,Therapy,49186.0,No,53.51,27.0,9.35,92750.0,0.5,20.5 +17869,France,2021,Diabetes,Viral,6.62,1.6,1.23,0-18,Other,579343,51.86,4.66,2.83,Medication,9239.0,Yes,90.42,3437.0,2.26,61601.0,0.8,68.63 +17871,Saudi Arabia,2009,Hepatitis,Respiratory,1.31,3.94,0.52,61+,Other,99552,54.17,4.43,2.27,Medication,19239.0,Yes,95.57,2583.0,4.46,43343.0,0.53,51.67 +17872,USA,2000,Tuberculosis,Parasitic,2.07,7.8,2.21,19-35,Male,673485,67.31,4.21,6.58,Vaccination,36090.0,No,74.21,1081.0,6.43,62220.0,0.85,47.16 +17875,Canada,2012,Malaria,Respiratory,11.04,8.09,7.01,0-18,Male,386832,57.08,3.83,4.05,Medication,536.0,Yes,51.75,291.0,1.08,61305.0,0.8,76.39 +17876,Nigeria,2005,Cholera,Viral,18.92,11.89,2.13,61+,Female,264127,54.33,0.8,3.57,Therapy,13455.0,No,52.14,4058.0,4.25,94247.0,0.73,56.73 +17880,Saudi Arabia,2019,Tuberculosis,Infectious,3.87,14.82,5.33,61+,Female,62272,52.48,4.06,4.97,Medication,43888.0,Yes,51.23,4219.0,3.91,99781.0,0.83,22.93 +17885,Japan,2013,Tuberculosis,Chronic,15.29,1.26,0.42,61+,Male,346129,80.15,4.32,1.61,Medication,3273.0,No,90.5,3462.0,9.33,73356.0,0.75,36.07 +17899,China,2017,HIV/AIDS,Respiratory,6.97,7.46,2.23,19-35,Female,127539,52.73,2.6,0.95,Medication,32968.0,No,74.75,4969.0,4.93,45446.0,0.61,54.91 +17902,Turkey,2010,Zika,Viral,4.52,2.77,1.51,36-60,Male,199049,77.97,2.42,7.58,Therapy,47823.0,No,61.48,1343.0,2.27,49653.0,0.82,85.64 +17904,Russia,2014,Ebola,Chronic,19.26,11.95,9.31,36-60,Other,89976,76.74,1.78,9.69,Vaccination,42180.0,Yes,61.99,4855.0,5.42,85948.0,0.6,38.39 +17908,France,2023,Rabies,Neurological,19.78,1.96,1.64,0-18,Male,207832,70.62,2.67,6.85,Medication,21168.0,Yes,74.68,4712.0,1.36,51863.0,0.55,71.77 +17912,France,2000,COVID-19,Genetic,10.56,5.38,6.82,19-35,Other,55573,98.6,2.79,7.96,Surgery,21111.0,Yes,59.38,605.0,5.12,62794.0,0.74,73.11 +17922,Japan,2013,Alzheimer's Disease,Bacterial,4.06,4.58,0.21,0-18,Other,43729,93.67,3.48,7.28,Surgery,49014.0,Yes,81.76,827.0,5.04,21207.0,0.41,88.65 +17923,UK,2011,HIV/AIDS,Respiratory,12.38,4.42,2.83,61+,Male,273800,73.84,2.15,9.41,Therapy,31520.0,No,82.12,2946.0,1.99,50827.0,0.65,33.01 +17933,Canada,2016,Parkinson's Disease,Genetic,6.62,11.22,4.14,19-35,Other,383817,50.83,3.93,3.65,Therapy,40300.0,No,78.64,924.0,9.16,58485.0,0.87,69.64 +17935,Canada,2009,COVID-19,Parasitic,19.81,1.64,2.72,19-35,Male,175391,73.49,3.51,4.2,Vaccination,40652.0,No,69.58,4533.0,0.21,81018.0,0.84,58.61 +17940,South Africa,2006,Malaria,Metabolic,3.12,9.93,9.98,19-35,Female,715340,97.52,0.57,1.66,Therapy,30954.0,No,54.21,1943.0,0.23,23735.0,0.73,48.18 +17941,Germany,2019,Leprosy,Genetic,9.93,6.77,7.04,0-18,Female,191972,59.7,2.36,1.35,Vaccination,25056.0,Yes,55.51,4518.0,2.54,80413.0,0.81,72.92 +17946,South Korea,2009,Measles,Autoimmune,3.66,2.96,4.42,19-35,Female,984235,75.42,1.84,7.56,Medication,15991.0,No,53.47,2668.0,7.8,55342.0,0.55,83.57 +17948,France,2017,Dengue,Bacterial,16.59,1.11,8.42,36-60,Other,521250,80.85,3.3,0.64,Therapy,12894.0,No,77.42,758.0,2.41,86127.0,0.75,45.37 +17953,Japan,2003,Hepatitis,Parasitic,13.04,4.35,0.65,61+,Female,924218,82.6,3.9,7.74,Vaccination,34854.0,Yes,87.64,477.0,9.44,36979.0,0.73,65.54 +17955,Italy,2013,Malaria,Metabolic,16.69,4.08,8.71,61+,Female,671233,71.12,1.36,1.85,Medication,45595.0,No,68.83,1507.0,1.6,76529.0,0.89,50.96 +17966,Brazil,2005,Diabetes,Autoimmune,0.33,9.45,1.32,61+,Other,642793,54.45,1.78,4.16,Vaccination,36799.0,Yes,94.77,4173.0,3.43,22903.0,0.81,65.31 +17968,India,2005,Cholera,Neurological,4.91,10.62,3.01,61+,Female,703614,57.39,1.93,5.5,Surgery,48676.0,Yes,58.12,2863.0,3.72,87188.0,0.83,24.28 +17970,Saudi Arabia,2019,Polio,Respiratory,13.26,4.11,6.32,36-60,Male,983433,94.69,1.94,9.96,Surgery,10661.0,No,56.47,2971.0,4.57,77327.0,0.8,37.46 +17974,Italy,2022,Hypertension,Viral,6.62,2.85,6.66,36-60,Other,837245,83.47,2.83,8.65,Surgery,32698.0,Yes,53.5,247.0,8.56,83005.0,0.48,58.7 +17984,Russia,2024,HIV/AIDS,Genetic,4.05,14.11,3.13,36-60,Female,971642,84.75,1.67,1.47,Therapy,8211.0,Yes,92.74,2721.0,5.9,92554.0,0.62,38.29 +17986,Nigeria,2014,Diabetes,Chronic,0.19,4.5,6.29,61+,Other,932550,58.38,0.96,4.82,Medication,25408.0,Yes,52.86,850.0,5.7,82301.0,0.63,66.47 +17988,Brazil,2000,Ebola,Respiratory,15.39,12.78,1.07,19-35,Male,660192,63.34,4.62,8.26,Medication,12328.0,Yes,89.83,5000.0,7.33,1357.0,0.63,80.47 +18004,USA,2009,Polio,Metabolic,9.46,9.9,6.94,19-35,Other,355166,96.3,3.31,1.33,Medication,18627.0,Yes,64.82,2791.0,9.18,70360.0,0.63,59.94 +18007,China,2011,HIV/AIDS,Respiratory,2.46,0.34,7.49,36-60,Female,385720,58.76,0.68,7.16,Vaccination,38744.0,Yes,95.0,4929.0,0.49,12887.0,0.86,63.58 +18009,Italy,2009,Polio,Neurological,7.28,9.69,4.16,19-35,Other,40244,82.06,2.15,5.29,Medication,43022.0,No,74.42,4965.0,3.21,44020.0,0.52,84.45 +18011,Mexico,2022,Asthma,Neurological,4.75,10.57,0.66,0-18,Female,492498,64.0,1.29,1.37,Surgery,24882.0,No,71.81,49.0,0.16,20210.0,0.61,77.98 +18022,Nigeria,2002,Influenza,Bacterial,6.81,3.32,3.62,19-35,Female,384402,77.13,2.16,1.12,Medication,18290.0,No,85.73,2509.0,0.35,72289.0,0.71,34.87 +18026,South Africa,2002,Cancer,Autoimmune,3.85,6.38,8.86,0-18,Other,699961,57.34,0.9,5.63,Medication,32713.0,No,50.52,845.0,6.94,4280.0,0.53,83.49 +18029,Australia,2011,Tuberculosis,Neurological,14.37,13.2,2.19,19-35,Female,910575,76.72,4.15,4.97,Therapy,36847.0,Yes,56.31,2762.0,0.99,10082.0,0.78,42.09 +18035,Italy,2012,COVID-19,Genetic,9.89,5.43,4.5,36-60,Female,980576,78.04,3.03,6.94,Therapy,11208.0,No,79.74,3833.0,4.04,78759.0,0.62,88.13 +18037,Canada,2017,Rabies,Chronic,0.22,5.63,4.02,19-35,Other,188173,78.67,3.08,6.43,Therapy,2054.0,Yes,66.05,2995.0,0.71,80188.0,0.71,75.14 +18047,UK,2012,Zika,Infectious,15.63,12.68,3.53,19-35,Female,587041,51.11,0.96,9.86,Surgery,14081.0,Yes,97.53,2952.0,7.16,39627.0,0.62,21.67 +18050,India,2024,Influenza,Autoimmune,19.3,12.17,8.22,61+,Male,316034,68.48,4.51,7.21,Medication,32640.0,No,93.52,2614.0,4.48,94291.0,0.75,53.2 +18053,Italy,2013,Diabetes,Bacterial,16.5,1.87,6.09,19-35,Female,479720,51.32,1.48,3.38,Medication,2935.0,No,64.19,4025.0,6.54,18313.0,0.65,89.24 +18056,UK,2000,Zika,Neurological,4.54,13.5,9.41,0-18,Other,392930,62.72,3.92,1.3,Vaccination,8665.0,No,55.56,3460.0,1.23,78645.0,0.56,86.3 +18068,Germany,2002,Hypertension,Viral,18.04,6.94,5.55,0-18,Female,926572,55.46,3.98,5.1,Surgery,44493.0,No,78.88,2776.0,6.47,45451.0,0.44,40.96 +18079,USA,2001,Leprosy,Metabolic,2.36,7.39,3.29,61+,Female,929317,91.65,4.04,0.89,Therapy,48897.0,Yes,97.42,1745.0,2.0,25556.0,0.86,22.48 +18083,Australia,2009,Hepatitis,Metabolic,7.66,10.45,3.5,0-18,Male,456157,90.6,3.34,7.43,Therapy,37176.0,Yes,88.98,1187.0,0.53,16542.0,0.5,56.28 +18084,India,2007,Zika,Parasitic,17.38,4.43,1.22,61+,Male,988210,97.39,4.19,9.99,Vaccination,41465.0,Yes,98.06,1506.0,0.09,46303.0,0.69,77.01 +18085,UK,2023,Zika,Respiratory,8.03,13.48,8.1,36-60,Male,453489,75.47,1.43,4.7,Medication,27098.0,Yes,71.15,4471.0,7.66,33849.0,0.68,61.98 +18088,Nigeria,2021,HIV/AIDS,Respiratory,17.93,9.81,2.79,19-35,Male,554298,53.95,4.27,2.79,Therapy,11071.0,No,62.43,1201.0,4.94,64317.0,0.63,27.73 +18089,Canada,2014,Rabies,Cardiovascular,6.81,7.84,7.51,36-60,Male,972983,50.79,4.33,0.68,Medication,46135.0,Yes,86.03,3205.0,2.2,5510.0,0.58,60.1 +18090,Australia,2010,Hepatitis,Infectious,17.97,0.97,7.54,36-60,Female,905500,51.0,1.91,9.79,Surgery,13945.0,Yes,69.89,2713.0,3.6,73465.0,0.82,81.31 +18092,Brazil,2018,Measles,Viral,5.01,6.68,1.23,19-35,Other,722472,80.13,0.62,9.49,Surgery,42087.0,Yes,72.02,2097.0,4.85,28113.0,0.45,35.82 +18093,South Korea,2014,Leprosy,Respiratory,3.88,3.02,8.04,0-18,Male,776680,61.9,3.06,5.02,Therapy,3105.0,No,70.68,810.0,9.08,96260.0,0.45,55.56 +18101,India,2022,Leprosy,Respiratory,12.24,11.61,3.01,19-35,Other,875536,96.23,3.62,2.25,Therapy,496.0,Yes,72.72,2992.0,2.23,10089.0,0.43,64.7 +18110,Argentina,2012,Influenza,Autoimmune,12.33,0.88,7.76,19-35,Male,992922,78.6,1.87,5.75,Surgery,43344.0,No,77.93,212.0,6.07,34622.0,0.86,74.08 +18113,Mexico,2007,Cholera,Neurological,12.45,0.69,7.99,0-18,Male,345592,66.95,4.66,3.7,Medication,4241.0,No,82.06,2116.0,8.55,52149.0,0.82,88.56 +18118,France,2011,Tuberculosis,Autoimmune,15.17,2.66,1.9,36-60,Male,705226,92.49,3.31,7.95,Therapy,45213.0,No,90.5,3823.0,5.02,86218.0,0.81,30.98 +18121,Mexico,2011,Tuberculosis,Parasitic,3.39,3.93,9.08,19-35,Male,240364,91.94,1.1,7.09,Medication,49826.0,Yes,95.38,323.0,9.4,82376.0,0.54,59.03 +18132,USA,2021,HIV/AIDS,Viral,1.89,6.2,7.62,0-18,Female,875011,81.41,3.56,9.31,Surgery,16003.0,Yes,73.66,4530.0,4.72,94053.0,0.45,23.79 +18141,Brazil,2007,Leprosy,Autoimmune,12.73,1.11,7.79,0-18,Male,240778,97.19,2.56,5.62,Surgery,2092.0,No,69.78,3645.0,1.37,54394.0,0.43,86.28 +18146,Brazil,2013,COVID-19,Metabolic,6.75,1.04,7.12,0-18,Female,117246,51.22,2.76,2.0,Vaccination,17770.0,No,77.32,466.0,8.24,88602.0,0.52,88.1 +18148,France,2009,Alzheimer's Disease,Autoimmune,8.36,14.48,7.08,19-35,Other,922571,61.13,4.87,4.55,Therapy,15215.0,Yes,89.12,1654.0,2.12,67076.0,0.73,69.26 +18152,Brazil,2021,Rabies,Respiratory,15.57,4.56,4.49,36-60,Other,131580,56.66,0.98,2.24,Therapy,9079.0,No,70.43,3784.0,4.94,26409.0,0.69,37.28 +18155,Russia,2002,Cholera,Genetic,17.25,12.04,1.0,61+,Male,219841,75.13,3.49,1.87,Vaccination,22766.0,Yes,71.14,356.0,9.8,48833.0,0.54,43.81 +18161,South Korea,2021,Alzheimer's Disease,Autoimmune,18.61,7.47,1.02,0-18,Male,9131,99.92,3.08,3.28,Medication,47534.0,No,58.54,4926.0,4.76,12879.0,0.83,78.48 +18166,USA,2009,Malaria,Bacterial,13.0,12.41,7.35,61+,Other,244637,52.69,2.56,2.87,Surgery,34874.0,No,57.68,1839.0,3.42,53229.0,0.59,76.59 +18169,Argentina,2001,Malaria,Viral,14.98,9.99,3.14,0-18,Female,154102,71.18,2.08,9.88,Vaccination,25893.0,No,60.45,1526.0,0.1,57057.0,0.58,86.36 +18172,Australia,2006,Hypertension,Metabolic,5.86,9.44,9.63,0-18,Female,97399,76.33,1.49,2.95,Vaccination,13512.0,No,74.79,1233.0,1.6,26291.0,0.73,40.52 +18174,Brazil,2006,Tuberculosis,Autoimmune,15.04,10.33,9.45,19-35,Male,891387,76.59,0.84,5.35,Surgery,25231.0,No,57.82,4389.0,7.32,35105.0,0.48,66.5 +18178,Nigeria,2024,Cholera,Viral,11.89,7.8,2.35,0-18,Other,255577,60.26,2.38,9.03,Surgery,22512.0,No,65.22,3945.0,7.47,40132.0,0.61,74.34 +18180,South Africa,2021,Malaria,Infectious,14.64,4.0,6.06,19-35,Female,381090,82.12,1.04,7.27,Medication,33121.0,No,67.03,457.0,4.92,16031.0,0.53,78.99 +18182,Japan,2010,Asthma,Cardiovascular,1.66,14.07,7.82,0-18,Other,692006,91.62,1.92,3.83,Vaccination,12573.0,No,80.67,3368.0,0.95,95369.0,0.67,62.02 +18185,UK,2010,Hypertension,Autoimmune,4.9,4.97,9.52,19-35,Other,49904,91.73,2.59,3.21,Medication,15526.0,No,60.12,3188.0,5.95,48722.0,0.73,88.69 +18188,India,2015,Measles,Viral,16.29,13.47,7.79,0-18,Male,106447,66.95,1.3,1.58,Therapy,22479.0,Yes,57.02,3253.0,9.96,63486.0,0.75,58.1 +18197,Argentina,2021,Rabies,Neurological,8.03,11.02,0.76,61+,Female,116496,59.73,1.73,8.03,Surgery,3102.0,Yes,53.17,3350.0,9.52,83772.0,0.42,80.75 +18198,USA,2024,Malaria,Parasitic,8.47,6.02,3.51,0-18,Female,489079,64.04,1.13,2.77,Vaccination,8952.0,Yes,64.49,388.0,3.38,27697.0,0.63,22.4 +18199,Nigeria,2002,Polio,Autoimmune,14.03,11.24,5.5,0-18,Other,258112,92.52,1.67,3.6,Vaccination,20049.0,No,53.79,2381.0,8.34,73693.0,0.64,34.8 +18203,South Africa,2006,Hepatitis,Respiratory,5.58,13.73,7.69,19-35,Other,31384,50.62,1.66,6.99,Surgery,14126.0,No,51.41,3038.0,2.07,78045.0,0.53,28.45 +18204,Russia,2007,Cancer,Cardiovascular,14.09,5.33,8.22,36-60,Other,661095,68.54,2.35,5.76,Therapy,47279.0,No,55.24,4677.0,3.01,54352.0,0.46,89.51 +18226,Indonesia,2009,Polio,Cardiovascular,4.69,1.4,0.26,36-60,Other,929277,61.68,4.0,7.89,Surgery,45550.0,No,78.3,2792.0,0.14,53926.0,0.62,51.01 +18230,Russia,2011,Malaria,Metabolic,13.18,0.96,3.79,61+,Female,539912,80.93,0.58,7.93,Surgery,40022.0,No,52.16,3856.0,5.0,79443.0,0.64,84.49 +18245,USA,2013,Ebola,Parasitic,6.27,1.5,6.27,61+,Female,612842,66.75,4.46,3.91,Vaccination,38148.0,No,91.02,3334.0,5.59,17698.0,0.68,46.35 +18272,Nigeria,2001,Hepatitis,Bacterial,12.19,14.34,3.08,19-35,Male,483613,62.38,4.12,7.49,Vaccination,48727.0,No,71.53,2650.0,7.15,3778.0,0.41,89.2 +18279,Russia,2001,Influenza,Cardiovascular,13.53,8.53,2.72,19-35,Male,968535,65.88,3.32,6.22,Therapy,43909.0,No,88.29,962.0,6.05,76362.0,0.64,79.57 +18282,Saudi Arabia,2015,Parkinson's Disease,Autoimmune,17.01,9.34,4.88,61+,Other,769764,99.83,4.93,3.4,Medication,44294.0,Yes,69.96,1820.0,3.44,92621.0,0.5,30.69 +18288,Turkey,2012,Tuberculosis,Metabolic,7.94,4.7,5.79,0-18,Other,696503,90.11,3.62,0.81,Surgery,39078.0,No,83.77,2130.0,6.39,48700.0,0.46,36.57 +18292,Indonesia,2002,Dengue,Metabolic,11.82,6.63,6.54,36-60,Male,791310,68.41,2.7,3.4,Vaccination,30754.0,No,52.33,703.0,0.13,84630.0,0.83,38.9 +18295,Brazil,2015,Cholera,Bacterial,13.66,1.8,9.23,19-35,Other,202054,50.88,2.49,0.71,Vaccination,10505.0,Yes,81.3,2686.0,6.2,66971.0,0.57,33.37 +18301,USA,2018,Ebola,Respiratory,8.59,3.61,9.63,36-60,Male,589370,75.83,3.87,1.94,Vaccination,19237.0,Yes,64.78,3494.0,4.09,57251.0,0.79,22.36 +18310,Nigeria,2008,Influenza,Neurological,4.07,8.47,2.52,61+,Male,972435,81.29,2.41,1.97,Vaccination,8388.0,No,50.17,508.0,9.53,86449.0,0.78,23.13 +18324,France,2011,Hypertension,Viral,19.26,1.77,5.59,0-18,Female,241056,75.63,2.93,8.97,Therapy,17535.0,Yes,53.27,500.0,5.65,78031.0,0.61,36.71 +18325,Germany,2016,Measles,Autoimmune,10.52,14.44,5.92,36-60,Female,988545,89.66,4.1,2.68,Medication,30824.0,No,82.83,3819.0,2.75,49414.0,0.88,29.87 +18328,Mexico,2014,Zika,Neurological,12.4,2.31,3.15,0-18,Other,586132,69.49,1.81,5.47,Medication,10492.0,No,79.37,2860.0,5.41,79609.0,0.84,30.52 +18336,France,2014,Influenza,Autoimmune,19.41,10.79,3.21,19-35,Other,459483,54.33,2.2,7.03,Medication,22007.0,Yes,80.15,86.0,8.08,34388.0,0.88,79.13 +18339,Mexico,2012,Cholera,Respiratory,19.95,3.38,2.17,0-18,Male,805204,71.9,0.67,8.39,Vaccination,41561.0,Yes,62.49,4220.0,8.28,57470.0,0.84,32.84 +18345,Canada,2018,Tuberculosis,Cardiovascular,12.42,8.44,4.59,36-60,Male,525833,78.87,1.73,6.51,Therapy,46390.0,No,86.0,454.0,9.62,71088.0,0.56,68.9 +18351,Argentina,2002,Parkinson's Disease,Metabolic,10.28,14.84,8.67,19-35,Other,483114,60.1,2.39,8.25,Medication,21609.0,Yes,81.85,2276.0,0.31,5968.0,0.44,31.93 +18352,China,2017,Hepatitis,Respiratory,3.52,15.0,8.59,19-35,Male,12124,75.39,1.63,7.49,Surgery,22607.0,Yes,70.21,3043.0,8.24,20973.0,0.8,21.85 +18353,Turkey,2008,Parkinson's Disease,Respiratory,16.85,3.26,1.3,36-60,Other,150572,63.24,2.32,9.71,Therapy,32234.0,No,91.83,3866.0,7.52,61744.0,0.4,22.8 +18355,Indonesia,2022,HIV/AIDS,Bacterial,10.04,4.74,4.84,61+,Other,94744,76.67,1.86,9.74,Vaccination,28085.0,Yes,80.25,1786.0,4.91,61226.0,0.68,76.89 +18358,Germany,2002,Measles,Autoimmune,13.5,2.92,2.54,36-60,Other,335479,52.0,2.8,7.53,Vaccination,18323.0,No,98.7,3907.0,9.55,49063.0,0.5,36.15 +18367,South Africa,2009,Parkinson's Disease,Infectious,9.82,5.72,5.73,36-60,Male,575825,84.37,2.59,5.35,Vaccination,46373.0,No,84.68,4662.0,9.13,63480.0,0.46,39.11 +18372,Indonesia,2000,Hepatitis,Bacterial,12.63,14.79,4.4,19-35,Other,834317,73.1,2.81,6.71,Therapy,49646.0,Yes,54.15,246.0,1.23,41876.0,0.61,84.15 +18374,China,2014,Measles,Bacterial,0.83,7.36,4.29,61+,Female,860671,62.92,1.2,6.87,Vaccination,37838.0,Yes,64.02,3849.0,0.6,8536.0,0.41,21.8 +18375,France,2020,Parkinson's Disease,Autoimmune,16.13,9.37,2.95,36-60,Female,965185,72.95,0.7,1.25,Medication,40653.0,No,82.82,1125.0,5.69,53239.0,0.57,82.13 +18388,Japan,2000,Cancer,Viral,10.41,7.0,8.43,0-18,Other,744376,66.0,4.9,0.75,Surgery,43728.0,Yes,50.07,4533.0,3.66,956.0,0.54,83.73 +18402,South Africa,2018,Hepatitis,Viral,19.47,5.03,4.18,36-60,Male,971435,65.18,4.28,6.18,Medication,2931.0,Yes,84.68,4611.0,4.35,739.0,0.55,20.49 +18407,Brazil,2010,COVID-19,Metabolic,18.29,14.15,1.5,19-35,Female,987729,94.76,2.77,2.57,Medication,49110.0,Yes,70.6,3851.0,1.67,19179.0,0.75,32.78 +18408,China,2023,Measles,Parasitic,7.92,14.34,8.14,19-35,Female,369452,94.45,3.02,3.06,Medication,44909.0,No,95.01,4254.0,1.58,70935.0,0.73,42.98 +18416,Brazil,2005,Polio,Neurological,9.86,7.24,3.34,19-35,Female,272183,86.47,4.91,5.48,Surgery,11187.0,Yes,58.73,2650.0,2.47,30054.0,0.78,40.16 +18418,Argentina,2007,Hepatitis,Parasitic,4.09,8.14,2.41,61+,Male,788283,85.55,4.94,7.49,Medication,40170.0,No,96.54,2242.0,0.3,22480.0,0.49,60.98 +18419,Italy,2018,Dengue,Autoimmune,18.42,0.5,1.94,19-35,Female,666223,69.31,0.95,6.68,Vaccination,34663.0,No,56.0,4182.0,4.95,29656.0,0.72,28.65 +18423,South Korea,2000,Diabetes,Respiratory,1.54,13.41,9.36,0-18,Male,564065,78.24,2.06,7.56,Medication,3516.0,No,92.99,2323.0,0.61,15722.0,0.74,27.43 +18424,South Africa,2000,Cancer,Viral,3.32,8.68,7.84,61+,Female,320338,94.17,3.8,7.6,Surgery,14766.0,No,69.67,3415.0,4.21,34201.0,0.64,70.91 +18434,Turkey,2023,Polio,Respiratory,12.63,12.95,3.29,0-18,Male,147650,71.21,3.68,3.34,Medication,25937.0,No,87.33,3073.0,7.86,72670.0,0.73,70.17 +18435,UK,2014,Influenza,Metabolic,13.12,2.67,1.76,61+,Other,537415,60.31,3.09,4.03,Surgery,11446.0,Yes,84.41,4483.0,8.93,49134.0,0.74,62.71 +18455,China,2010,Ebola,Chronic,3.29,14.87,4.88,61+,Male,342211,82.06,1.19,2.51,Vaccination,32169.0,No,67.77,4824.0,8.85,72645.0,0.42,66.39 +18460,Turkey,2024,Zika,Parasitic,9.86,5.99,3.06,19-35,Other,812108,84.21,1.39,6.08,Surgery,15684.0,Yes,78.38,3726.0,9.27,3009.0,0.53,84.24 +18465,Russia,2014,Influenza,Parasitic,14.07,12.54,7.94,36-60,Female,39386,53.15,2.12,1.58,Medication,2971.0,Yes,75.24,4250.0,5.19,70838.0,0.65,78.9 +18467,India,2009,Measles,Infectious,12.91,8.88,6.17,19-35,Other,293173,51.2,4.39,6.58,Surgery,23469.0,Yes,55.96,4102.0,0.37,83500.0,0.56,41.21 +18471,Russia,2002,Rabies,Respiratory,2.15,10.43,5.24,61+,Other,507152,55.74,3.85,6.26,Surgery,7058.0,Yes,81.07,4136.0,4.52,40949.0,0.58,61.11 +18472,Argentina,2004,Hypertension,Bacterial,3.72,11.48,7.38,61+,Other,320689,76.08,3.98,1.92,Surgery,48189.0,Yes,72.1,506.0,4.26,2109.0,0.58,55.96 +18482,Australia,2008,Diabetes,Genetic,10.73,10.15,8.99,0-18,Female,640562,73.36,2.74,9.84,Therapy,22790.0,No,59.33,300.0,6.13,15941.0,0.84,52.27 +18500,Australia,2014,COVID-19,Viral,17.16,8.47,2.38,19-35,Other,173074,63.64,3.51,9.24,Medication,2571.0,No,53.54,4892.0,6.62,12649.0,0.42,27.16 +18508,UK,2024,Cholera,Infectious,3.87,4.2,7.52,61+,Other,925743,96.37,3.75,6.59,Medication,12844.0,No,70.83,419.0,3.08,52855.0,0.41,43.25 +18514,China,2010,Leprosy,Chronic,19.19,9.98,3.35,36-60,Other,778630,53.11,3.04,4.42,Therapy,34340.0,Yes,75.21,3075.0,7.41,55365.0,0.59,58.32 +18515,Mexico,2014,HIV/AIDS,Genetic,2.59,8.29,7.6,0-18,Male,643197,68.69,2.06,6.69,Medication,26467.0,No,86.0,4447.0,6.46,44346.0,0.56,64.42 +18516,Turkey,2001,Ebola,Viral,12.32,12.61,2.66,36-60,Female,726285,56.37,3.8,8.31,Therapy,47109.0,No,94.6,572.0,8.44,71693.0,0.84,76.25 +18536,South Africa,2014,Zika,Chronic,0.9,9.36,7.55,36-60,Male,996767,72.75,4.66,0.51,Vaccination,4850.0,No,66.29,2436.0,8.21,11837.0,0.73,80.0 +18540,Turkey,2007,Alzheimer's Disease,Cardiovascular,2.15,10.59,1.34,61+,Other,185180,51.64,2.02,3.58,Medication,30043.0,No,81.18,889.0,9.15,54796.0,0.68,81.94 +18541,Italy,2024,HIV/AIDS,Cardiovascular,19.48,13.37,7.59,19-35,Other,622535,61.74,3.94,2.91,Therapy,47037.0,Yes,75.39,1036.0,9.96,20087.0,0.78,46.9 +18545,Germany,2017,Alzheimer's Disease,Chronic,0.96,0.85,9.88,61+,Male,604069,77.78,1.63,5.95,Vaccination,46396.0,Yes,98.22,2395.0,9.63,56042.0,0.84,49.23 +18555,Italy,2014,Parkinson's Disease,Chronic,5.87,5.91,2.39,0-18,Other,219794,53.19,3.54,0.93,Therapy,46839.0,No,87.98,1050.0,4.78,43785.0,0.88,27.76 +18556,Brazil,2019,Tuberculosis,Neurological,2.39,8.44,5.51,0-18,Male,328766,92.11,2.83,1.89,Vaccination,41219.0,Yes,75.29,4608.0,5.48,63618.0,0.72,67.48 +18557,Argentina,2004,Alzheimer's Disease,Bacterial,16.03,13.94,7.12,36-60,Female,146268,86.91,4.64,1.69,Surgery,23963.0,No,64.0,3756.0,6.05,30987.0,0.6,35.22 +18561,Italy,2013,Hepatitis,Neurological,5.27,9.56,3.2,0-18,Male,457984,98.37,4.23,8.46,Vaccination,16554.0,No,78.24,4898.0,1.86,52546.0,0.41,44.51 +18567,China,2004,Cholera,Respiratory,17.51,7.6,1.32,19-35,Male,359646,80.48,4.33,8.47,Medication,824.0,Yes,93.61,288.0,8.72,25344.0,0.9,80.27 +18570,Russia,2007,Malaria,Genetic,12.06,10.93,3.76,0-18,Other,453420,83.68,3.78,3.91,Therapy,33116.0,Yes,82.66,1910.0,9.63,85513.0,0.72,82.72 +18589,Canada,2021,Zika,Metabolic,10.67,9.72,9.31,61+,Female,84379,61.37,3.56,3.83,Medication,14679.0,Yes,64.17,3152.0,7.44,56222.0,0.84,79.2 +18593,Australia,2022,Asthma,Infectious,17.43,10.67,0.94,19-35,Other,625119,85.13,3.78,1.87,Surgery,29018.0,Yes,79.41,3235.0,3.35,7145.0,0.87,39.22 +18594,China,2020,Hypertension,Bacterial,1.03,6.66,4.62,19-35,Other,194147,69.54,3.4,3.9,Surgery,13264.0,No,56.9,58.0,4.94,45470.0,0.87,40.95 +18597,Canada,2014,Rabies,Infectious,12.92,12.83,4.67,36-60,Other,561306,56.75,4.84,5.14,Surgery,36306.0,No,89.05,1646.0,1.64,96649.0,0.58,45.12 +18598,Argentina,2019,Cancer,Genetic,9.71,14.37,0.16,61+,Male,140888,63.22,4.0,9.44,Therapy,18828.0,Yes,83.99,1392.0,4.58,84162.0,0.55,23.08 +18623,Italy,2015,Hypertension,Respiratory,19.62,5.84,2.37,36-60,Female,746146,65.17,1.35,7.97,Therapy,42662.0,No,69.39,2453.0,6.18,89674.0,0.58,47.16 +18628,Germany,2017,Diabetes,Chronic,2.43,13.44,3.3,61+,Female,40677,58.62,0.66,7.49,Therapy,39389.0,Yes,68.64,1810.0,2.51,47059.0,0.71,30.26 +18630,Japan,2001,HIV/AIDS,Viral,5.67,14.48,9.2,61+,Male,83095,60.49,2.66,5.62,Medication,9945.0,No,87.21,198.0,9.44,76612.0,0.89,35.14 +18631,China,2023,Malaria,Autoimmune,6.16,3.02,4.19,36-60,Male,813507,75.08,0.77,4.95,Medication,5193.0,No,59.13,1368.0,7.16,20114.0,0.57,81.06 +18639,South Africa,2007,Rabies,Bacterial,1.24,2.4,3.98,61+,Other,359516,79.35,1.85,9.37,Vaccination,24800.0,Yes,86.21,3334.0,9.19,89751.0,0.43,73.76 +18645,Germany,2011,Tuberculosis,Infectious,17.77,5.01,5.21,0-18,Male,851544,80.29,1.2,7.77,Surgery,44700.0,Yes,80.85,200.0,3.74,26749.0,0.56,62.82 +18649,UK,2013,Hepatitis,Parasitic,14.67,3.64,4.95,36-60,Other,630247,56.86,1.7,1.36,Medication,19928.0,Yes,52.93,1579.0,0.45,1216.0,0.41,68.05 +18652,Japan,2006,Ebola,Metabolic,11.6,9.76,3.52,36-60,Other,67803,90.66,3.69,4.14,Therapy,7502.0,Yes,69.02,3278.0,9.56,80598.0,0.49,32.5 +18660,Italy,2010,Ebola,Neurological,3.84,3.43,9.33,0-18,Other,398692,89.2,4.7,8.7,Medication,47010.0,No,90.56,3895.0,3.66,643.0,0.58,31.67 +18669,Nigeria,2000,Dengue,Genetic,2.32,9.15,8.04,0-18,Male,742995,99.47,0.99,9.2,Medication,40354.0,No,77.56,2807.0,3.76,78604.0,0.57,49.97 +18670,Argentina,2001,Parkinson's Disease,Neurological,13.33,5.3,7.85,61+,Other,175030,50.33,4.76,4.12,Therapy,562.0,Yes,53.65,2476.0,8.73,1595.0,0.84,70.77 +18671,China,2020,Hepatitis,Metabolic,19.9,5.34,6.55,36-60,Female,958465,72.52,2.78,7.43,Medication,16701.0,Yes,81.04,1383.0,1.63,72986.0,0.57,25.5 +18678,Indonesia,2006,Parkinson's Disease,Metabolic,8.7,8.3,8.02,19-35,Female,363033,88.34,1.54,0.81,Therapy,36895.0,Yes,55.12,2412.0,9.59,21823.0,0.5,79.41 +18687,Mexico,2014,Asthma,Cardiovascular,19.47,5.76,3.69,61+,Female,572158,76.32,2.08,1.59,Surgery,3503.0,Yes,66.88,3462.0,8.71,87008.0,0.48,71.7 +18702,Australia,2021,Hepatitis,Infectious,4.77,3.03,0.71,61+,Other,963068,90.9,3.33,2.41,Therapy,25526.0,Yes,55.64,428.0,9.47,99250.0,0.5,32.85 +18708,France,2024,Zika,Autoimmune,19.35,10.56,3.99,0-18,Male,487725,66.63,2.31,1.02,Vaccination,15032.0,No,71.46,126.0,2.53,6250.0,0.48,36.81 +18713,South Korea,2017,Asthma,Genetic,1.01,12.63,0.39,36-60,Male,311094,72.46,3.85,7.97,Therapy,35028.0,No,86.9,996.0,6.0,6510.0,0.84,71.9 +18717,Australia,2004,Measles,Neurological,8.76,4.3,3.02,0-18,Female,796938,72.96,3.11,9.25,Medication,6822.0,No,56.0,1183.0,7.28,10165.0,0.8,28.29 +18724,Indonesia,2024,Influenza,Parasitic,14.33,0.26,0.4,0-18,Female,746057,56.95,2.92,7.1,Surgery,35377.0,No,53.33,3495.0,7.02,67619.0,0.74,27.95 +18727,Japan,2002,Polio,Bacterial,16.85,6.86,1.76,0-18,Male,530847,91.58,0.9,4.92,Therapy,41853.0,No,63.53,4632.0,6.36,95017.0,0.79,52.85 +18728,Russia,2019,Diabetes,Chronic,9.95,11.5,5.98,36-60,Male,679899,58.64,3.94,0.51,Vaccination,46421.0,Yes,85.57,3299.0,7.8,70817.0,0.61,64.53 +18730,Turkey,2008,Dengue,Autoimmune,6.33,10.41,5.72,36-60,Female,221315,81.48,1.2,6.98,Surgery,9848.0,Yes,96.12,1663.0,6.22,71976.0,0.4,89.89 +18733,Australia,2014,Alzheimer's Disease,Bacterial,12.09,12.38,6.22,61+,Female,623665,81.04,1.11,5.86,Surgery,12813.0,No,72.09,113.0,6.87,85339.0,0.72,82.7 +18736,USA,2020,Hypertension,Parasitic,14.4,11.49,7.75,61+,Female,931913,66.56,1.64,8.84,Vaccination,4304.0,No,83.02,1945.0,9.34,81831.0,0.59,87.87 +18752,Argentina,2010,Polio,Bacterial,3.66,0.87,9.83,19-35,Female,948989,93.57,2.3,5.77,Medication,19967.0,Yes,71.35,4757.0,2.5,93205.0,0.44,28.61 +18755,China,2016,Rabies,Viral,17.13,4.01,7.21,19-35,Male,600229,64.41,2.08,1.14,Therapy,18023.0,No,66.95,246.0,1.39,71843.0,0.7,27.73 +18759,Italy,2005,Polio,Parasitic,2.52,11.66,1.23,0-18,Other,699046,50.18,4.37,7.84,Medication,32736.0,No,96.91,939.0,8.5,54644.0,0.86,73.92 +18766,Turkey,2003,HIV/AIDS,Chronic,4.03,9.4,4.06,61+,Male,31779,71.46,3.63,2.82,Surgery,25600.0,Yes,86.98,4027.0,1.63,6244.0,0.41,37.91 +18768,Mexico,2021,Cancer,Neurological,1.66,4.58,4.21,61+,Male,148434,87.89,3.97,4.77,Vaccination,32787.0,Yes,87.09,2161.0,5.76,7204.0,0.76,88.0 +18769,Canada,2014,Alzheimer's Disease,Genetic,9.74,9.09,7.96,19-35,Female,119141,66.68,4.13,3.08,Surgery,22684.0,Yes,65.8,4672.0,3.56,57756.0,0.5,85.71 +18770,France,2004,Polio,Neurological,1.24,11.71,8.61,61+,Female,598263,53.32,1.52,5.8,Therapy,49086.0,No,84.82,2907.0,3.0,46628.0,0.51,80.55 +18777,Saudi Arabia,2015,HIV/AIDS,Chronic,8.72,5.83,4.52,0-18,Other,794134,63.55,2.99,7.18,Therapy,22504.0,No,60.08,4980.0,4.37,92600.0,0.82,79.37 +18780,Australia,2009,HIV/AIDS,Metabolic,13.48,13.31,5.86,0-18,Other,882459,50.93,3.59,8.66,Medication,47743.0,No,65.53,3932.0,9.17,6892.0,0.41,79.92 +18788,South Africa,2014,Cholera,Chronic,18.87,9.14,0.43,19-35,Female,746173,97.72,0.68,2.92,Therapy,35920.0,Yes,87.52,1169.0,0.28,19228.0,0.72,27.71 +18790,Mexico,2011,Zika,Infectious,16.6,0.9,0.85,61+,Male,172706,53.71,1.69,5.35,Medication,11483.0,No,52.59,4479.0,0.76,38778.0,0.81,76.54 +18794,South Korea,2011,Leprosy,Autoimmune,12.59,14.06,6.2,36-60,Female,86380,70.39,1.35,9.37,Therapy,26436.0,No,55.94,3236.0,7.85,61947.0,0.5,77.82 +18796,Australia,2023,Leprosy,Metabolic,17.81,11.91,2.7,61+,Other,539118,93.9,2.37,2.49,Therapy,11756.0,No,79.85,213.0,5.18,99266.0,0.49,73.42 +18799,Germany,2009,Leprosy,Parasitic,19.65,13.12,1.5,61+,Male,569351,78.91,1.89,8.52,Surgery,31540.0,Yes,88.91,2967.0,6.11,3196.0,0.49,51.98 +18806,Canada,2000,Asthma,Cardiovascular,13.3,8.6,0.94,0-18,Male,213483,77.12,4.5,4.56,Medication,18867.0,Yes,95.66,3755.0,7.33,4432.0,0.47,36.32 +18808,Japan,2013,COVID-19,Metabolic,13.24,10.2,0.63,19-35,Other,103235,78.73,1.95,1.53,Medication,1886.0,No,90.66,2146.0,7.73,98232.0,0.65,44.31 +18809,France,2022,Asthma,Respiratory,10.73,7.14,1.3,0-18,Male,747802,78.17,4.94,9.48,Therapy,7054.0,Yes,95.85,2512.0,4.27,6157.0,0.84,83.45 +18810,Saudi Arabia,2017,Leprosy,Infectious,17.98,14.14,2.3,61+,Other,298962,55.58,1.16,0.91,Medication,9162.0,No,64.63,4041.0,8.07,26317.0,0.76,30.82 +18818,South Korea,2013,Alzheimer's Disease,Neurological,4.0,14.28,0.7,19-35,Other,997085,77.76,3.02,5.88,Surgery,20864.0,No,65.76,4313.0,4.71,46255.0,0.77,46.67 +18821,Turkey,2010,Malaria,Bacterial,17.18,6.42,6.12,61+,Female,317212,90.42,1.29,3.81,Medication,24463.0,No,68.59,373.0,3.85,33761.0,0.87,28.44 +18822,Japan,2022,Tuberculosis,Viral,7.99,9.53,4.76,61+,Other,473373,75.57,0.8,2.74,Vaccination,25205.0,No,87.5,4749.0,2.88,59205.0,0.75,24.1 +18824,Argentina,2017,Polio,Infectious,5.5,11.01,2.28,36-60,Other,724052,93.45,2.66,2.37,Vaccination,29543.0,No,94.5,4933.0,2.19,23041.0,0.49,82.18 +18826,South Korea,2001,Alzheimer's Disease,Neurological,4.82,9.28,0.38,0-18,Other,4897,88.86,0.91,8.57,Therapy,41836.0,No,66.48,196.0,4.4,66212.0,0.64,37.1 +18832,USA,2016,Asthma,Autoimmune,18.91,12.94,7.03,0-18,Other,644093,51.75,2.62,4.54,Vaccination,29536.0,No,63.98,4945.0,6.82,91735.0,0.6,78.22 +18833,South Africa,2000,Hepatitis,Cardiovascular,2.85,13.51,7.39,0-18,Female,756368,69.36,1.81,8.67,Medication,36657.0,No,55.47,3426.0,6.19,42722.0,0.74,70.86 +18840,Argentina,2017,Leprosy,Neurological,6.3,10.21,5.32,0-18,Other,383562,52.37,3.73,4.78,Medication,1962.0,Yes,65.63,3310.0,8.5,27806.0,0.47,35.55 +18841,Italy,2002,Rabies,Viral,19.63,4.16,4.61,36-60,Other,188378,84.56,2.97,8.57,Vaccination,6899.0,No,59.34,3400.0,8.23,30119.0,0.75,80.03 +18844,Canada,2004,Zika,Respiratory,5.37,8.19,2.5,19-35,Other,587869,52.19,3.83,7.68,Therapy,38382.0,Yes,91.66,3146.0,0.13,90354.0,0.74,68.41 +18845,Italy,2024,Cholera,Autoimmune,11.32,4.11,3.05,19-35,Other,926147,60.05,1.62,6.02,Therapy,43129.0,No,63.62,1525.0,9.72,55152.0,0.55,81.79 +18847,Brazil,2011,Leprosy,Infectious,16.63,5.34,1.24,61+,Female,813839,82.77,2.47,8.2,Medication,41776.0,No,53.49,395.0,0.95,69780.0,0.85,72.67 +18848,France,2012,Hepatitis,Bacterial,7.32,12.62,8.67,36-60,Male,30263,87.73,4.69,3.26,Surgery,18395.0,Yes,84.87,1181.0,4.81,28450.0,0.43,80.64 +18849,UK,2000,Dengue,Neurological,10.8,1.06,5.97,61+,Male,66941,64.39,1.1,9.58,Surgery,40812.0,No,93.62,1834.0,8.33,16371.0,0.57,59.82 +18851,Japan,2018,Ebola,Metabolic,1.09,11.82,1.4,0-18,Male,69049,82.12,2.45,1.79,Vaccination,19197.0,No,98.11,4269.0,2.85,69353.0,0.52,55.18 +18858,Italy,2023,Dengue,Autoimmune,16.0,5.11,8.44,0-18,Male,224059,83.55,2.41,7.57,Surgery,43049.0,No,63.03,360.0,4.18,95710.0,0.42,37.88 +18862,South Africa,2000,Rabies,Genetic,4.15,5.29,2.5,36-60,Other,828013,88.07,4.25,8.64,Vaccination,23547.0,No,50.11,2425.0,2.63,29809.0,0.8,32.83 +18865,China,2008,Zika,Viral,0.84,4.64,9.92,61+,Male,256586,66.42,1.16,2.95,Surgery,9368.0,Yes,79.22,3826.0,4.05,8494.0,0.76,51.11 +18870,Argentina,2024,Asthma,Metabolic,5.24,4.21,3.19,36-60,Other,624058,80.97,1.09,4.2,Surgery,6569.0,No,73.96,963.0,2.29,31263.0,0.82,84.88 +18875,China,2007,Cholera,Bacterial,11.05,1.33,2.49,0-18,Other,624355,57.47,2.15,7.61,Surgery,44635.0,Yes,51.15,836.0,7.38,67364.0,0.88,56.59 +18879,South Africa,2014,Asthma,Bacterial,9.16,12.59,6.1,19-35,Female,352590,69.09,1.54,5.64,Surgery,43144.0,Yes,67.8,2913.0,3.01,55231.0,0.74,79.81 +18885,Turkey,2018,Influenza,Viral,13.18,0.2,7.1,36-60,Male,196387,95.39,4.56,2.61,Surgery,19348.0,Yes,52.82,1953.0,6.94,45341.0,0.48,59.31 +18886,Indonesia,2012,Malaria,Autoimmune,2.04,12.08,8.4,19-35,Other,364737,85.6,1.34,0.85,Vaccination,20080.0,Yes,93.19,515.0,8.97,63080.0,0.63,46.54 +18888,South Korea,2010,Asthma,Cardiovascular,3.3,5.61,5.63,0-18,Female,210321,64.53,4.76,3.92,Vaccination,14387.0,Yes,50.11,1747.0,0.18,3715.0,0.55,25.13 +18896,South Korea,2016,Rabies,Genetic,10.03,14.92,1.73,61+,Female,694827,85.3,3.82,0.94,Surgery,30479.0,Yes,58.89,3234.0,3.72,4405.0,0.79,63.25 +18898,Australia,2006,Polio,Cardiovascular,17.76,9.93,0.47,19-35,Female,331701,69.31,1.72,8.55,Vaccination,30428.0,Yes,52.47,2174.0,9.44,80728.0,0.79,77.71 +18903,Mexico,2021,Malaria,Genetic,7.73,1.61,4.37,19-35,Male,339415,65.41,3.58,9.64,Therapy,42471.0,No,59.23,990.0,4.67,49983.0,0.82,35.68 +18912,India,2016,Alzheimer's Disease,Metabolic,8.08,8.65,2.13,36-60,Female,687592,84.1,1.12,5.86,Medication,14716.0,Yes,69.08,4823.0,0.39,57484.0,0.41,77.28 +18914,Japan,2021,Leprosy,Bacterial,11.24,4.24,7.72,61+,Female,41062,51.68,1.81,8.07,Medication,34664.0,Yes,68.36,1438.0,0.28,73243.0,0.83,64.22 +18917,Germany,2004,Hepatitis,Autoimmune,1.45,5.59,1.38,61+,Other,570856,98.54,2.0,4.92,Surgery,21137.0,Yes,84.05,4021.0,0.26,87943.0,0.8,28.79 +18922,Mexico,2004,Zika,Metabolic,3.47,6.56,9.36,36-60,Other,466491,96.55,4.26,4.09,Vaccination,6136.0,Yes,89.79,1932.0,1.32,89472.0,0.5,53.89 +18927,Saudi Arabia,2013,Alzheimer's Disease,Metabolic,5.42,8.77,1.33,61+,Other,510058,51.85,2.84,8.06,Vaccination,26089.0,No,53.6,3139.0,1.14,32967.0,0.74,72.84 +18937,Japan,2000,Asthma,Bacterial,1.46,11.53,1.25,61+,Male,321779,96.46,4.22,2.5,Therapy,19066.0,Yes,70.91,241.0,6.29,44037.0,0.57,27.44 +18940,Indonesia,2008,Zika,Viral,6.62,12.04,7.4,0-18,Other,710051,75.03,2.26,4.56,Vaccination,4782.0,No,82.87,1336.0,6.13,32326.0,0.76,75.32 +18941,Canada,2005,Hypertension,Genetic,12.02,2.37,8.06,36-60,Female,534148,94.47,2.48,5.16,Therapy,14912.0,Yes,91.08,3408.0,8.83,75806.0,0.65,31.76 +18943,Turkey,2015,Leprosy,Infectious,10.56,14.31,3.65,0-18,Other,99317,91.09,1.83,7.97,Vaccination,36970.0,No,55.64,17.0,0.66,93380.0,0.54,27.61 +18948,Turkey,2018,COVID-19,Metabolic,17.43,2.84,2.9,36-60,Female,753837,54.39,0.73,9.3,Surgery,48853.0,Yes,64.28,1319.0,9.45,46625.0,0.75,83.93 +18954,Mexico,2022,Asthma,Viral,16.8,12.06,4.26,19-35,Other,491196,58.77,2.44,7.64,Therapy,36684.0,Yes,70.77,950.0,1.42,13121.0,0.54,87.18 +18958,Turkey,2007,HIV/AIDS,Metabolic,4.65,13.68,7.41,36-60,Female,303020,87.23,3.6,5.04,Medication,11823.0,No,57.15,4876.0,5.4,1360.0,0.66,32.83 +18959,Japan,2012,COVID-19,Parasitic,15.4,11.26,7.12,19-35,Other,233366,85.61,4.85,4.31,Vaccination,25514.0,Yes,75.43,2503.0,5.05,3690.0,0.57,72.13 +18964,Argentina,2004,Rabies,Autoimmune,10.52,11.15,6.51,19-35,Male,229602,93.28,2.14,9.0,Vaccination,18798.0,Yes,88.76,4879.0,4.44,98400.0,0.58,29.18 +18971,Italy,2006,Diabetes,Genetic,14.14,2.59,1.36,36-60,Male,870295,57.46,2.73,6.15,Medication,44691.0,Yes,58.7,394.0,7.04,12098.0,0.71,38.94 +18977,USA,2004,Polio,Parasitic,9.16,14.26,7.99,61+,Male,394772,65.89,3.26,5.35,Therapy,19702.0,Yes,64.6,1507.0,7.24,33809.0,0.63,56.43 +18984,USA,2003,Hepatitis,Respiratory,5.73,9.7,4.06,61+,Male,800178,50.28,4.36,2.4,Vaccination,23700.0,Yes,61.38,2730.0,0.05,51182.0,0.89,73.27 +18994,China,2010,Rabies,Genetic,3.65,5.37,4.07,61+,Female,904584,73.1,4.02,1.98,Therapy,1255.0,No,65.5,4674.0,2.35,50813.0,0.45,30.84 +18998,China,2002,Measles,Autoimmune,2.8,12.48,4.71,61+,Male,308533,76.17,0.52,3.85,Surgery,14201.0,Yes,65.43,688.0,6.38,54425.0,0.53,33.48 +19000,Mexico,2004,Hypertension,Parasitic,10.74,13.84,7.2,61+,Other,480351,87.96,1.1,3.96,Vaccination,11307.0,Yes,96.17,4697.0,4.16,68532.0,0.78,87.11 +19008,South Korea,2023,Influenza,Autoimmune,15.45,1.26,1.05,61+,Male,522904,89.48,4.03,8.45,Therapy,14774.0,No,74.72,1671.0,6.35,99593.0,0.63,52.32 +19010,Mexico,2016,Diabetes,Parasitic,13.22,7.36,8.59,36-60,Male,13928,99.16,3.16,7.39,Vaccination,14113.0,Yes,73.87,2802.0,1.05,92492.0,0.6,33.58 +19014,Italy,2001,Rabies,Infectious,11.95,8.04,6.82,0-18,Other,342530,57.7,1.51,2.4,Surgery,34691.0,No,88.88,2706.0,0.46,96284.0,0.86,30.13 +19019,Nigeria,2007,Asthma,Respiratory,13.97,7.82,4.3,0-18,Other,413689,62.26,0.74,8.25,Therapy,7675.0,No,92.47,1333.0,9.78,19916.0,0.69,77.92 +19030,South Africa,2010,Hepatitis,Bacterial,17.42,1.04,3.2,19-35,Other,459984,75.57,2.2,7.72,Vaccination,26475.0,Yes,97.96,4282.0,5.52,16004.0,0.87,22.33 +19033,Russia,2015,COVID-19,Chronic,1.0,3.03,3.87,19-35,Male,38332,66.12,2.07,4.77,Vaccination,32522.0,No,71.22,4026.0,7.54,11825.0,0.88,25.77 +19038,Argentina,2020,Polio,Viral,7.47,3.81,1.82,0-18,Female,463776,78.78,1.72,1.97,Surgery,27071.0,No,69.6,2405.0,9.99,52488.0,0.76,21.75 +19044,Argentina,2003,Cholera,Bacterial,1.75,2.16,6.5,19-35,Female,174092,70.81,1.51,1.55,Medication,37026.0,Yes,72.62,3154.0,5.43,82686.0,0.63,48.46 +19046,Canada,2010,Tuberculosis,Neurological,19.74,7.98,4.93,0-18,Male,193258,62.05,1.38,1.24,Vaccination,19328.0,No,79.8,2691.0,3.78,14903.0,0.81,57.26 +19060,Brazil,2007,Parkinson's Disease,Metabolic,15.58,8.56,4.35,0-18,Other,290277,84.19,2.99,7.95,Medication,10260.0,No,56.21,2976.0,8.54,38060.0,0.52,80.59 +19066,Canada,2017,Rabies,Cardiovascular,12.42,9.34,8.73,61+,Male,668059,82.52,1.37,5.3,Therapy,8471.0,No,89.11,2488.0,0.47,73935.0,0.45,26.11 +19067,Indonesia,2020,Leprosy,Viral,1.43,10.91,2.23,36-60,Other,518019,75.76,2.66,2.25,Therapy,47651.0,No,55.3,3736.0,0.65,81290.0,0.71,85.28 +19068,India,2011,Diabetes,Genetic,9.14,5.71,5.7,0-18,Male,39127,58.65,1.11,7.3,Therapy,28862.0,No,78.45,3537.0,5.82,37962.0,0.46,35.98 +19071,Italy,2007,Asthma,Respiratory,18.55,14.24,8.13,36-60,Male,740615,68.42,2.75,7.48,Surgery,15017.0,No,81.56,3121.0,9.8,69759.0,0.68,70.66 +19072,Nigeria,2013,Hepatitis,Chronic,11.63,11.02,4.56,0-18,Female,677249,52.16,2.85,4.09,Surgery,9759.0,Yes,61.18,921.0,7.51,70120.0,0.87,65.65 +19076,Argentina,2015,Diabetes,Parasitic,6.08,9.24,8.03,0-18,Male,168804,51.74,4.42,1.57,Surgery,38825.0,No,59.9,2952.0,6.42,38693.0,0.77,70.0 +19084,UK,2017,Parkinson's Disease,Autoimmune,16.76,9.7,4.72,0-18,Male,516208,54.58,3.19,8.65,Medication,9839.0,Yes,87.41,4240.0,0.19,29671.0,0.81,81.42 +19089,USA,2002,Cancer,Infectious,15.27,12.02,3.7,36-60,Male,731346,92.09,3.46,2.74,Medication,9061.0,Yes,79.75,4557.0,3.96,1914.0,0.73,61.94 +19091,Mexico,2006,Diabetes,Bacterial,17.78,2.15,4.03,36-60,Female,879116,86.02,4.38,9.26,Vaccination,27085.0,No,77.96,1614.0,6.04,509.0,0.59,42.66 +19092,Brazil,2008,Hypertension,Neurological,19.68,7.69,7.86,61+,Male,448315,83.83,3.5,3.2,Vaccination,47229.0,No,56.37,1988.0,4.82,70703.0,0.88,63.31 +19095,South Korea,2019,Influenza,Viral,14.32,7.14,4.57,0-18,Female,794833,88.07,2.4,7.27,Surgery,13642.0,Yes,80.7,261.0,8.84,24815.0,0.64,66.36 +19096,Saudi Arabia,2001,Polio,Infectious,12.96,1.54,0.63,0-18,Male,412839,66.9,3.57,4.13,Therapy,22656.0,Yes,89.74,1329.0,3.63,48390.0,0.61,56.34 +19099,Mexico,2024,Parkinson's Disease,Infectious,5.29,6.36,6.02,36-60,Female,412123,87.08,3.06,4.9,Medication,40313.0,Yes,59.42,4633.0,9.08,73765.0,0.79,82.47 +19109,India,2017,HIV/AIDS,Neurological,19.02,8.76,4.31,36-60,Male,855332,50.12,3.5,6.49,Therapy,37385.0,No,55.29,223.0,9.37,57653.0,0.69,63.08 +19115,Germany,2013,Ebola,Respiratory,8.97,12.8,4.45,61+,Other,185861,93.89,3.28,9.08,Vaccination,42380.0,No,67.46,3181.0,8.31,61391.0,0.72,47.6 +19118,Mexico,2012,Polio,Cardiovascular,3.87,6.62,4.33,36-60,Male,70987,57.98,2.54,4.08,Vaccination,15333.0,No,63.95,4197.0,2.73,41753.0,0.63,39.28 +19133,Australia,2020,Diabetes,Respiratory,9.6,2.58,6.38,19-35,Male,790175,72.46,2.39,6.9,Vaccination,29686.0,Yes,94.94,1172.0,0.14,8345.0,0.4,47.73 +19134,Brazil,2018,Parkinson's Disease,Chronic,19.69,3.3,4.86,19-35,Female,374614,61.58,3.22,5.82,Therapy,3104.0,No,63.68,738.0,2.2,12069.0,0.55,41.39 +19135,Italy,2009,Ebola,Autoimmune,1.88,11.17,8.54,61+,Other,812153,90.3,4.94,4.92,Medication,41370.0,No,57.61,1799.0,4.97,37748.0,0.41,73.25 +19137,Indonesia,2015,Cholera,Respiratory,5.67,3.0,6.88,61+,Male,122331,88.97,4.82,8.41,Medication,31476.0,No,74.64,4918.0,6.72,89144.0,0.73,24.25 +19141,UK,2004,Leprosy,Genetic,12.2,5.89,6.12,19-35,Female,444607,70.9,4.23,4.1,Therapy,34175.0,Yes,67.45,2330.0,7.31,53478.0,0.83,50.19 +19143,Brazil,2023,Hepatitis,Viral,11.21,0.85,9.68,19-35,Other,780998,87.56,0.69,9.55,Therapy,19394.0,No,88.1,1792.0,9.37,31605.0,0.47,79.89 +19145,Canada,2019,Tuberculosis,Metabolic,17.71,2.06,6.0,36-60,Male,740136,64.47,4.89,9.71,Medication,35049.0,Yes,76.45,3799.0,1.37,21889.0,0.67,65.34 +19146,UK,2015,Ebola,Viral,1.78,2.29,1.57,19-35,Male,152845,53.15,3.99,6.07,Surgery,35292.0,No,97.86,3795.0,8.79,84911.0,0.53,23.05 +19151,Indonesia,2024,Polio,Parasitic,19.98,6.69,4.7,36-60,Male,431597,65.13,0.52,9.15,Therapy,41644.0,No,52.46,2863.0,2.35,29239.0,0.5,85.61 +19156,Turkey,2000,Zika,Respiratory,4.94,10.79,5.81,0-18,Male,495236,65.89,2.49,5.4,Vaccination,7345.0,No,50.86,2763.0,3.54,47766.0,0.64,87.42 +19160,Brazil,2019,Leprosy,Viral,14.74,3.81,1.4,19-35,Male,659661,88.86,0.86,3.71,Therapy,29429.0,Yes,76.91,933.0,9.9,13574.0,0.53,68.7 +19168,USA,2008,Measles,Autoimmune,12.46,9.72,6.44,19-35,Other,575736,63.31,1.08,1.71,Therapy,25884.0,No,65.89,4777.0,6.05,46005.0,0.4,51.43 +19170,Argentina,2015,Asthma,Autoimmune,19.36,1.46,8.2,61+,Female,223310,56.0,2.66,6.01,Vaccination,11403.0,No,61.29,2350.0,1.71,73123.0,0.85,22.68 +19177,Nigeria,2007,Diabetes,Parasitic,2.28,12.51,3.37,61+,Female,483077,51.54,3.29,1.29,Therapy,6882.0,No,84.6,2198.0,6.15,58558.0,0.82,61.93 +19178,South Korea,2021,Ebola,Infectious,17.09,0.91,8.92,0-18,Other,789374,98.51,2.4,3.06,Vaccination,9090.0,No,76.91,2163.0,4.89,83214.0,0.61,81.99 +19180,Germany,2021,Influenza,Bacterial,19.19,10.2,9.19,36-60,Other,814553,62.49,3.93,3.66,Therapy,9118.0,No,80.82,2004.0,4.38,91543.0,0.48,24.81 +19181,Mexico,2000,Cholera,Infectious,7.35,0.43,7.19,19-35,Male,760097,84.42,3.74,8.28,Vaccination,10291.0,No,64.89,3423.0,5.04,62405.0,0.75,27.17 +19184,Japan,2018,Diabetes,Autoimmune,9.97,12.48,0.82,61+,Female,496281,89.48,0.8,2.52,Surgery,26631.0,Yes,64.16,3234.0,9.73,10921.0,0.54,38.53 +19189,UK,2017,COVID-19,Infectious,7.81,12.45,3.28,36-60,Female,475533,53.49,1.02,2.81,Medication,8528.0,No,78.52,2725.0,4.49,94655.0,0.44,38.0 +19190,Mexico,2012,Leprosy,Neurological,9.61,8.01,7.16,36-60,Other,322607,89.31,4.12,6.15,Medication,37854.0,Yes,94.74,616.0,0.79,12387.0,0.46,73.63 +19202,Saudi Arabia,2016,Tuberculosis,Autoimmune,13.86,0.4,6.49,19-35,Other,762469,73.3,2.57,6.21,Therapy,32384.0,No,66.09,2616.0,7.77,22676.0,0.81,31.51 +19204,Russia,2004,Alzheimer's Disease,Autoimmune,8.95,11.13,6.61,19-35,Other,653939,99.92,2.95,4.38,Surgery,33326.0,No,55.8,704.0,8.25,17326.0,0.66,38.77 +19213,Germany,2010,Leprosy,Chronic,19.11,1.79,7.97,36-60,Male,313640,83.45,3.11,1.06,Therapy,21984.0,No,64.79,513.0,5.54,15702.0,0.74,88.77 +19217,UK,2005,Rabies,Neurological,6.25,9.04,3.57,0-18,Other,444253,64.9,3.86,1.92,Vaccination,43218.0,No,76.86,4551.0,1.17,82738.0,0.54,81.9 +19218,Argentina,2017,Parkinson's Disease,Metabolic,9.23,14.75,1.08,19-35,Other,473727,66.52,1.43,9.82,Vaccination,5240.0,No,81.07,2082.0,3.18,66916.0,0.49,39.63 +19219,Japan,2021,Diabetes,Chronic,0.65,9.6,3.02,0-18,Other,995963,58.14,4.49,4.0,Surgery,43281.0,No,74.33,681.0,7.85,88886.0,0.81,49.08 +19223,Nigeria,2010,Zika,Metabolic,15.33,12.5,0.84,19-35,Other,45955,58.44,1.36,6.05,Vaccination,33864.0,Yes,76.4,2247.0,4.72,58161.0,0.74,38.83 +19224,South Korea,2016,Alzheimer's Disease,Chronic,10.5,5.12,3.72,61+,Other,14612,90.26,1.62,5.98,Therapy,39161.0,Yes,50.82,3580.0,3.2,98764.0,0.71,65.92 +19229,France,2024,Zika,Metabolic,18.85,6.73,5.39,19-35,Female,707525,95.06,1.79,4.88,Surgery,13163.0,No,86.05,1778.0,5.34,33404.0,0.77,40.88 +19237,South Africa,2005,Tuberculosis,Respiratory,12.32,7.32,2.26,19-35,Other,502028,50.72,4.97,1.99,Surgery,22340.0,Yes,73.16,2575.0,6.16,56048.0,0.6,47.18 +19239,France,2021,Cancer,Viral,2.43,7.54,0.6,0-18,Female,384899,99.02,2.18,0.65,Vaccination,3524.0,No,78.31,4774.0,7.91,34615.0,0.63,45.06 +19252,Argentina,2012,Tuberculosis,Genetic,16.86,0.63,7.11,36-60,Other,663254,53.49,0.79,4.01,Vaccination,6939.0,Yes,75.09,4568.0,7.51,94243.0,0.81,60.51 +19256,South Africa,2007,Influenza,Chronic,13.84,6.14,8.3,61+,Female,932060,73.93,3.33,6.79,Surgery,25699.0,Yes,94.81,2633.0,0.88,28712.0,0.66,29.71 +19260,Turkey,2009,Tuberculosis,Viral,2.34,1.15,5.98,19-35,Female,4780,88.83,0.76,2.51,Medication,33267.0,Yes,58.93,2801.0,8.87,37429.0,0.8,86.1 +19266,UK,2021,Asthma,Bacterial,14.12,4.44,1.46,0-18,Male,89908,74.42,3.52,1.28,Medication,48704.0,No,66.63,4846.0,2.73,21022.0,0.66,67.26 +19267,Nigeria,2003,Diabetes,Genetic,17.65,9.09,3.15,61+,Female,277201,93.08,3.58,5.24,Medication,2674.0,No,95.59,1367.0,6.76,70602.0,0.53,70.1 +19276,Mexico,2020,Influenza,Bacterial,7.15,11.17,8.23,61+,Female,300295,60.23,0.9,4.55,Therapy,18053.0,No,51.11,2877.0,4.92,13420.0,0.41,23.88 +19277,Italy,2014,Polio,Viral,2.29,9.24,3.48,19-35,Other,269639,59.13,1.83,3.83,Vaccination,36380.0,Yes,98.09,2438.0,1.44,18082.0,0.77,71.22 +19278,South Korea,2000,Asthma,Infectious,9.94,0.47,6.16,36-60,Other,857564,80.75,2.37,4.84,Vaccination,8336.0,No,77.46,2030.0,1.45,60741.0,0.7,38.63 +19279,Mexico,2024,COVID-19,Metabolic,10.62,7.73,9.23,0-18,Male,346142,82.9,1.72,6.43,Therapy,32273.0,Yes,73.77,274.0,0.45,19634.0,0.73,49.53 +19283,Saudi Arabia,2003,Hypertension,Chronic,4.01,3.59,8.22,61+,Female,189672,74.84,4.47,5.94,Vaccination,44261.0,Yes,79.17,4380.0,2.21,90894.0,0.48,29.22 +19285,Nigeria,2006,HIV/AIDS,Infectious,9.48,8.77,0.24,61+,Female,369854,67.25,1.53,5.04,Therapy,6527.0,No,58.8,4476.0,4.95,51330.0,0.42,44.22 +19288,Russia,2002,Asthma,Parasitic,19.75,11.33,6.33,61+,Female,373637,99.43,4.38,3.17,Vaccination,29821.0,No,96.04,3289.0,7.47,2494.0,0.42,64.06 +19291,Indonesia,2021,Alzheimer's Disease,Viral,0.25,7.4,9.17,19-35,Female,905289,89.1,3.15,0.75,Therapy,44801.0,No,85.82,641.0,4.43,72053.0,0.62,59.99 +19292,USA,2001,HIV/AIDS,Viral,10.71,14.59,9.2,36-60,Female,680652,99.6,3.97,4.56,Vaccination,2471.0,Yes,78.06,3005.0,6.5,69163.0,0.64,53.36 +19300,Turkey,2011,Parkinson's Disease,Genetic,7.1,11.78,4.78,19-35,Female,341161,83.03,3.37,9.84,Vaccination,32554.0,No,53.74,3674.0,3.09,80911.0,0.49,57.72 +19302,Turkey,2018,Rabies,Autoimmune,17.93,6.26,9.22,61+,Other,337344,99.77,2.09,9.06,Medication,43184.0,Yes,80.9,4383.0,5.29,46282.0,0.64,49.05 +19303,Indonesia,2023,Alzheimer's Disease,Metabolic,14.2,12.01,3.01,36-60,Other,857515,75.77,1.63,3.33,Medication,17419.0,No,80.04,417.0,9.7,40489.0,0.74,50.81 +19308,South Korea,2006,HIV/AIDS,Chronic,14.5,1.72,5.04,61+,Other,695221,79.28,2.59,1.2,Surgery,31500.0,Yes,90.05,4396.0,1.63,64460.0,0.87,84.7 +19314,Canada,2007,Hepatitis,Infectious,16.43,14.48,2.73,0-18,Female,88359,71.82,3.72,0.76,Therapy,42725.0,No,86.75,4972.0,5.75,79143.0,0.82,46.58 +19321,India,2023,Tuberculosis,Bacterial,4.54,5.72,6.16,61+,Female,962874,85.58,0.51,7.67,Medication,37063.0,Yes,62.5,2513.0,0.39,18596.0,0.72,58.59 +19322,Australia,2003,Zika,Parasitic,16.15,4.14,4.21,61+,Male,879669,72.93,1.93,5.07,Therapy,15778.0,Yes,85.22,2174.0,8.89,98524.0,0.51,72.89 +19323,Turkey,2013,Dengue,Genetic,3.43,5.03,6.9,36-60,Other,687182,57.9,3.19,5.84,Vaccination,34124.0,Yes,55.41,1486.0,7.51,90543.0,0.8,63.88 +19325,Australia,2015,HIV/AIDS,Neurological,9.4,3.37,3.66,61+,Male,720755,55.61,4.72,3.79,Medication,39094.0,No,84.49,4801.0,7.78,76926.0,0.65,62.91 +19331,UK,2016,Cancer,Viral,14.85,7.29,1.11,0-18,Female,123579,82.52,4.71,4.29,Therapy,5658.0,No,56.53,3815.0,8.41,12892.0,0.62,60.37 +19338,Canada,2023,Malaria,Chronic,1.99,5.53,7.54,0-18,Male,381367,79.54,1.97,2.73,Therapy,8308.0,No,50.64,2089.0,0.99,81762.0,0.79,55.28 +19340,South Africa,2021,Tuberculosis,Viral,6.32,5.32,0.29,0-18,Male,702600,76.16,4.41,2.04,Therapy,16987.0,Yes,94.48,809.0,9.54,82545.0,0.88,60.95 +19342,France,2015,Cancer,Parasitic,13.23,14.12,0.53,0-18,Other,601692,91.61,1.51,9.51,Vaccination,4940.0,No,84.57,2186.0,4.29,99273.0,0.58,59.58 +19351,India,2010,Hepatitis,Autoimmune,11.15,6.46,0.92,36-60,Female,254234,93.4,2.0,6.16,Medication,20515.0,Yes,84.22,4535.0,4.31,28167.0,0.7,48.53 +19356,Italy,2012,Hepatitis,Infectious,1.09,14.04,9.8,36-60,Other,365678,91.23,1.07,8.27,Therapy,21059.0,No,73.45,2906.0,9.84,97423.0,0.73,69.67 +19365,South Africa,2002,Leprosy,Respiratory,1.23,2.53,8.11,19-35,Female,944023,76.8,1.75,6.4,Vaccination,23480.0,No,54.65,2217.0,2.49,55488.0,0.6,36.98 +19373,UK,2019,Polio,Parasitic,3.08,12.41,1.75,61+,Male,77031,80.21,2.4,7.32,Surgery,31273.0,No,97.87,300.0,6.06,20958.0,0.49,57.48 +19375,India,2022,Influenza,Bacterial,16.82,12.77,3.81,19-35,Male,273565,75.32,2.03,4.23,Medication,3718.0,No,65.87,4278.0,6.75,55002.0,0.52,51.78 +19380,Mexico,2012,Malaria,Genetic,8.46,9.21,8.23,19-35,Female,949614,84.58,2.71,8.94,Medication,33938.0,No,96.83,3558.0,0.89,24802.0,0.74,41.48 +19387,UK,2005,Influenza,Chronic,14.68,1.16,9.43,0-18,Other,146772,86.21,0.62,0.73,Medication,27610.0,Yes,89.63,1321.0,2.65,71613.0,0.4,38.29 +19392,Mexico,2009,Hepatitis,Metabolic,6.26,11.4,6.97,19-35,Male,658373,81.73,2.15,1.85,Vaccination,46581.0,Yes,93.84,2731.0,3.06,49928.0,0.73,35.63 +19393,Turkey,2021,Asthma,Cardiovascular,12.79,3.09,4.36,19-35,Other,358787,58.5,1.36,2.3,Medication,9209.0,Yes,96.04,503.0,0.01,75812.0,0.85,57.53 +19399,Turkey,2019,Cholera,Viral,4.45,13.28,2.93,36-60,Male,916718,78.08,1.3,8.29,Therapy,48859.0,No,90.81,2405.0,7.53,28702.0,0.61,35.39 +19402,India,2005,Alzheimer's Disease,Autoimmune,13.7,11.28,1.44,36-60,Other,266933,62.39,2.16,8.46,Medication,7922.0,No,67.53,816.0,0.01,95518.0,0.75,77.36 +19413,Germany,2011,Zika,Cardiovascular,6.05,13.54,4.47,36-60,Other,913363,78.12,3.64,4.69,Medication,23620.0,No,65.47,2753.0,9.52,18384.0,0.74,57.29 +19419,Russia,2009,Polio,Cardiovascular,7.02,14.5,5.54,0-18,Male,417886,72.9,1.65,3.12,Vaccination,3260.0,No,56.04,557.0,5.31,38917.0,0.61,47.58 +19424,Turkey,2005,Dengue,Bacterial,18.62,14.34,5.5,61+,Male,283663,63.29,3.97,3.26,Medication,22618.0,No,91.26,3250.0,9.25,21418.0,0.4,53.47 +19427,India,2002,Measles,Neurological,7.39,5.92,1.35,19-35,Female,52202,93.72,1.38,9.01,Vaccination,22846.0,No,84.47,4412.0,3.6,16854.0,0.88,54.93 +19435,China,2022,Alzheimer's Disease,Metabolic,11.41,13.74,2.92,36-60,Female,471990,86.17,1.56,2.6,Therapy,9157.0,Yes,84.48,3481.0,5.55,59076.0,0.52,79.98 +19437,UK,2019,Influenza,Neurological,8.62,9.34,7.0,61+,Male,481375,70.8,1.01,7.66,Vaccination,7951.0,Yes,74.76,106.0,5.94,90945.0,0.81,87.63 +19439,Italy,2012,Asthma,Infectious,1.64,6.88,1.75,0-18,Male,333825,79.68,1.1,5.98,Vaccination,35451.0,Yes,71.16,765.0,2.46,84437.0,0.76,38.21 +19447,UK,2020,Cholera,Autoimmune,13.12,12.08,1.1,0-18,Female,853332,90.2,1.64,9.8,Surgery,30077.0,Yes,89.6,1448.0,0.93,6469.0,0.78,66.74 +19448,Nigeria,2014,Diabetes,Neurological,3.36,9.83,0.38,36-60,Female,504784,84.77,3.5,7.21,Medication,11043.0,Yes,57.72,4105.0,7.39,6210.0,0.53,34.73 +19462,USA,2006,Cholera,Genetic,3.78,0.67,8.96,36-60,Male,916988,67.64,2.9,4.71,Therapy,13902.0,Yes,95.87,3529.0,5.46,19310.0,0.81,77.01 +19465,Turkey,2009,Diabetes,Infectious,0.16,13.24,1.58,0-18,Other,138631,79.29,2.85,8.78,Therapy,13045.0,No,79.11,3731.0,8.9,68334.0,0.7,24.42 +19488,Nigeria,2001,Polio,Viral,4.71,6.77,9.39,19-35,Male,151726,79.07,0.97,0.66,Medication,35146.0,Yes,81.78,120.0,3.27,78773.0,0.43,53.33 +19493,Australia,2020,Asthma,Genetic,12.88,13.03,0.93,36-60,Female,312299,94.06,3.52,4.54,Medication,42604.0,Yes,96.43,1786.0,3.19,93454.0,0.85,32.62 +19501,India,2020,Dengue,Respiratory,11.65,5.77,3.39,19-35,Male,407064,76.99,1.07,4.34,Medication,26841.0,Yes,62.3,3207.0,9.42,67208.0,0.85,76.29 +19505,Argentina,2017,Asthma,Cardiovascular,4.2,0.71,2.61,61+,Male,973915,91.66,3.08,3.87,Vaccination,6879.0,Yes,65.7,3932.0,8.41,26619.0,0.7,33.02 +19515,France,2004,Leprosy,Genetic,1.39,7.53,1.38,0-18,Other,649024,53.17,4.13,7.76,Surgery,37898.0,Yes,56.99,3350.0,4.04,1910.0,0.77,69.23 +19519,Japan,2013,Hypertension,Cardiovascular,12.63,13.73,1.12,0-18,Other,41319,83.11,1.69,1.8,Vaccination,8608.0,No,89.97,974.0,2.64,18435.0,0.43,72.5 +19533,India,2006,Cancer,Parasitic,3.82,1.66,3.77,19-35,Male,338081,68.06,4.25,5.0,Therapy,46800.0,Yes,88.36,415.0,0.28,42777.0,0.57,88.76 +19543,Japan,2002,Parkinson's Disease,Chronic,15.87,14.63,5.19,36-60,Male,423172,72.59,4.99,5.34,Surgery,9590.0,No,96.52,1770.0,5.51,59151.0,0.62,20.16 +19544,Canada,2013,Hypertension,Infectious,8.48,14.52,7.7,36-60,Female,291776,85.87,2.59,7.76,Medication,31313.0,No,77.16,2749.0,2.18,38166.0,0.89,21.34 +19545,Turkey,2000,Asthma,Bacterial,9.15,5.38,9.25,0-18,Other,229260,96.11,3.72,4.7,Surgery,31446.0,Yes,74.63,3707.0,6.51,22749.0,0.53,47.8 +19546,Saudi Arabia,2018,Parkinson's Disease,Infectious,4.01,1.54,6.12,19-35,Other,764912,53.0,0.73,3.9,Therapy,32934.0,Yes,58.7,1674.0,5.23,52017.0,0.41,24.24 +19549,Mexico,2007,Cancer,Viral,11.55,14.56,5.57,61+,Other,344818,85.42,1.77,7.01,Surgery,46354.0,Yes,76.29,2482.0,9.73,51964.0,0.81,35.95 +19553,Brazil,2018,Diabetes,Autoimmune,16.61,2.13,4.55,19-35,Female,737766,58.76,1.6,2.34,Medication,36816.0,No,94.86,4285.0,5.54,69431.0,0.48,84.62 +19554,India,2012,Alzheimer's Disease,Respiratory,2.1,14.76,5.12,36-60,Other,994238,98.48,3.53,2.04,Medication,8641.0,No,78.53,4435.0,8.77,70238.0,0.62,28.96 +19555,Russia,2001,Diabetes,Bacterial,2.82,7.28,2.34,19-35,Other,304226,79.97,2.07,4.05,Surgery,17945.0,Yes,85.32,4374.0,7.62,31896.0,0.57,80.66 +19568,Saudi Arabia,2013,Cancer,Cardiovascular,12.7,2.3,2.21,61+,Other,838980,94.84,1.21,3.27,Surgery,40524.0,Yes,62.33,1316.0,3.82,62210.0,0.55,79.18 +19571,Australia,2002,Alzheimer's Disease,Chronic,15.11,1.8,2.64,61+,Female,171596,56.4,0.94,9.89,Therapy,15825.0,No,81.72,3975.0,2.57,14717.0,0.72,45.06 +19583,Canada,2013,Tuberculosis,Infectious,13.99,7.34,3.52,61+,Other,237046,67.29,5.0,6.35,Medication,21444.0,No,87.31,4433.0,2.91,27530.0,0.46,75.26 +19590,India,2012,Leprosy,Respiratory,7.83,8.79,1.39,0-18,Female,262058,73.0,1.32,5.76,Medication,17886.0,Yes,72.75,4605.0,6.45,78288.0,0.73,56.19 +19591,Italy,2002,Ebola,Respiratory,2.81,4.69,3.23,61+,Other,853686,77.72,1.12,8.29,Vaccination,30897.0,No,92.23,2555.0,3.22,13363.0,0.74,26.44 +19596,Italy,2022,Asthma,Viral,14.49,9.7,0.39,19-35,Other,392193,61.95,3.82,3.85,Therapy,21135.0,No,51.15,3815.0,5.51,97865.0,0.76,63.86 +19601,South Africa,2002,Zika,Infectious,7.42,14.29,4.14,61+,Female,936848,65.86,1.08,3.87,Surgery,24167.0,Yes,69.08,4204.0,3.27,69869.0,0.51,56.51 +19603,China,2009,Cholera,Infectious,13.77,2.75,6.18,0-18,Other,306535,51.65,3.86,9.74,Medication,41056.0,No,87.08,4575.0,8.3,89238.0,0.62,71.63 +19622,Japan,2014,Cholera,Genetic,18.64,2.72,4.36,19-35,Other,970249,50.45,1.48,2.97,Vaccination,29813.0,Yes,72.43,225.0,8.99,1355.0,0.82,34.22 +19623,Indonesia,2010,Tuberculosis,Genetic,19.87,11.65,1.95,0-18,Female,685254,64.12,4.49,4.43,Surgery,272.0,Yes,89.63,3907.0,2.82,36234.0,0.68,36.54 +19646,Canada,2002,Hypertension,Viral,4.19,10.09,1.38,19-35,Female,908136,89.7,2.85,7.33,Vaccination,6305.0,Yes,87.94,4938.0,1.26,51581.0,0.76,44.86 +19648,Canada,2009,COVID-19,Neurological,9.09,1.79,9.3,36-60,Male,497276,61.08,3.61,5.32,Vaccination,3539.0,Yes,81.36,848.0,5.07,22028.0,0.81,78.74 +19655,China,2018,Influenza,Viral,8.29,14.77,5.4,0-18,Other,131178,70.42,3.51,1.34,Medication,9930.0,Yes,72.88,4750.0,7.05,45156.0,0.82,64.86 +19656,South Africa,2001,Parkinson's Disease,Chronic,18.14,4.52,7.78,61+,Other,582933,88.6,1.55,0.79,Surgery,27112.0,No,69.8,2686.0,8.78,46475.0,0.59,70.64 +19659,South Korea,2006,Hypertension,Infectious,5.17,4.19,7.5,36-60,Other,372613,61.82,1.5,6.53,Therapy,17605.0,No,52.6,1279.0,3.03,50908.0,0.83,37.4 +19671,Nigeria,2011,Polio,Neurological,8.07,11.7,4.65,0-18,Male,554208,57.32,3.68,3.46,Medication,6958.0,Yes,87.93,377.0,6.43,50793.0,0.84,39.41 +19673,Italy,2013,Dengue,Cardiovascular,3.6,12.83,9.65,19-35,Other,17332,84.53,4.96,0.6,Medication,15222.0,No,62.0,4516.0,8.44,95228.0,0.6,49.91 +19674,South Korea,2011,Dengue,Cardiovascular,10.12,4.57,1.02,61+,Female,846613,98.86,3.64,3.41,Surgery,13220.0,No,98.49,4164.0,7.87,27144.0,0.41,46.46 +19678,India,2005,Leprosy,Autoimmune,6.05,2.93,5.23,61+,Female,263188,84.05,3.88,2.21,Vaccination,43504.0,No,94.05,3301.0,2.32,13789.0,0.51,61.92 +19683,Italy,2015,Influenza,Cardiovascular,3.16,10.76,1.04,61+,Other,230829,51.24,2.0,6.81,Vaccination,47583.0,No,64.29,4898.0,1.89,9044.0,0.66,38.28 +19684,China,2009,Hypertension,Respiratory,10.11,1.64,0.71,19-35,Female,933982,51.91,1.8,2.55,Therapy,8370.0,No,72.15,1818.0,3.61,3454.0,0.74,61.03 +19686,UK,2007,Zika,Infectious,11.38,1.17,1.51,36-60,Other,220288,96.5,3.7,7.65,Medication,42157.0,No,96.59,3463.0,4.68,60249.0,0.77,78.11 +19694,USA,2013,Dengue,Neurological,17.96,10.98,5.06,61+,Male,100792,90.71,3.66,3.53,Medication,40893.0,No,67.2,3349.0,9.98,44712.0,0.59,35.99 +19695,Mexico,2019,Cancer,Chronic,7.48,13.64,3.03,36-60,Male,783891,98.23,0.89,4.29,Medication,15860.0,Yes,68.05,4889.0,8.41,23354.0,0.42,82.25 +19703,South Korea,2023,Ebola,Genetic,11.92,2.89,5.12,0-18,Other,302640,55.59,4.94,6.91,Therapy,4668.0,No,52.49,2848.0,5.27,56108.0,0.42,30.18 +19705,USA,2023,Hepatitis,Parasitic,13.36,9.04,6.57,19-35,Other,426465,50.36,3.24,5.83,Medication,49924.0,No,73.02,1990.0,5.27,34485.0,0.67,29.88 +19710,Indonesia,2016,Leprosy,Viral,9.11,9.49,1.36,61+,Female,900112,88.19,4.98,7.89,Therapy,33380.0,No,71.83,1368.0,1.17,34683.0,0.4,56.41 +19714,Argentina,2018,Leprosy,Parasitic,14.59,14.34,6.99,0-18,Male,235539,95.26,2.82,1.57,Medication,28959.0,Yes,90.69,1509.0,5.4,77090.0,0.77,82.05 +19745,USA,2005,Cholera,Neurological,10.41,1.07,2.39,61+,Male,220369,83.23,1.43,3.41,Medication,27255.0,Yes,55.28,2605.0,9.16,18571.0,0.67,33.48 +19749,China,2018,Rabies,Autoimmune,10.39,4.91,4.66,19-35,Male,631962,86.69,0.53,6.22,Vaccination,16001.0,No,92.28,3077.0,1.98,97673.0,0.83,39.81 +19751,Italy,2020,Diabetes,Infectious,3.29,3.48,6.32,19-35,Male,696878,73.88,3.2,6.59,Medication,27617.0,Yes,87.19,2523.0,3.5,89581.0,0.63,57.93 +19752,Germany,2000,Dengue,Autoimmune,3.74,3.84,2.9,61+,Other,333581,68.94,1.29,0.95,Medication,21145.0,Yes,90.83,1694.0,7.83,2884.0,0.78,78.79 +19756,Indonesia,2005,Rabies,Chronic,15.11,13.58,5.97,61+,Male,735821,64.14,3.11,6.11,Vaccination,20083.0,Yes,55.05,2323.0,2.83,71527.0,0.76,66.47 +19764,Australia,2001,Tuberculosis,Metabolic,1.06,8.8,0.71,19-35,Female,74034,63.95,0.85,9.8,Therapy,22870.0,Yes,67.34,2555.0,0.4,8059.0,0.72,24.77 +19765,UK,2009,Zika,Parasitic,10.56,14.01,4.54,61+,Female,415330,65.69,4.47,7.84,Medication,12217.0,No,95.99,4616.0,0.44,32206.0,0.46,37.55 +19766,USA,2003,HIV/AIDS,Respiratory,7.02,10.66,6.98,36-60,Male,7680,74.88,2.33,3.82,Surgery,16241.0,Yes,63.96,4593.0,4.4,93405.0,0.5,25.18 +19767,France,2019,Hypertension,Viral,14.98,7.55,8.3,36-60,Other,271183,55.21,3.09,7.85,Vaccination,14877.0,Yes,79.09,11.0,2.73,93496.0,0.43,22.13 +19770,Russia,2017,Rabies,Chronic,18.41,2.25,8.81,61+,Male,475809,73.79,0.88,3.21,Therapy,22423.0,Yes,53.04,1103.0,3.54,41747.0,0.54,70.5 +19773,Japan,2009,Tuberculosis,Respiratory,7.75,7.85,1.23,0-18,Female,995159,75.2,4.47,4.45,Vaccination,24175.0,Yes,52.5,3141.0,8.74,17009.0,0.85,79.9 +19782,Turkey,2005,Diabetes,Neurological,15.87,4.9,7.56,61+,Female,964262,91.52,2.64,9.57,Therapy,16992.0,Yes,66.01,2613.0,5.37,87624.0,0.81,51.89 +19783,Argentina,2018,Rabies,Respiratory,14.32,5.39,8.44,0-18,Male,739342,62.48,3.66,3.53,Medication,34178.0,No,89.08,1079.0,5.46,46447.0,0.61,22.97 +19784,South Africa,2024,Malaria,Cardiovascular,8.47,0.62,3.2,0-18,Male,739047,87.66,4.24,3.44,Medication,5321.0,Yes,96.83,1708.0,1.17,48374.0,0.45,45.08 +19785,China,2001,HIV/AIDS,Chronic,13.05,2.74,2.42,19-35,Female,913440,93.03,4.12,2.91,Surgery,29886.0,Yes,67.33,207.0,3.79,12012.0,0.43,29.1 +19787,Nigeria,2017,HIV/AIDS,Chronic,9.46,6.21,7.66,19-35,Male,423936,79.82,3.17,4.33,Therapy,27320.0,Yes,53.11,4025.0,3.37,55370.0,0.64,77.1 +19790,Germany,2005,Polio,Parasitic,2.96,2.42,4.54,0-18,Male,139647,86.99,3.33,0.74,Surgery,16276.0,No,79.98,164.0,9.69,33431.0,0.51,71.99 +19798,UK,2004,Influenza,Chronic,7.27,0.74,2.35,0-18,Other,515924,66.56,2.12,2.16,Therapy,37747.0,No,94.72,2604.0,2.36,77146.0,0.48,45.0 +19801,Argentina,2019,Tuberculosis,Autoimmune,0.34,14.4,0.2,0-18,Other,388440,64.09,2.3,0.68,Vaccination,20062.0,Yes,74.42,3130.0,4.47,14238.0,0.52,77.07 +19811,China,2012,Cancer,Metabolic,17.24,1.97,3.94,36-60,Other,773525,93.0,2.29,9.92,Therapy,6721.0,Yes,58.8,349.0,8.25,91447.0,0.83,84.77 +19817,Indonesia,2018,Cholera,Genetic,17.61,3.56,5.54,0-18,Male,926634,83.82,1.91,9.19,Surgery,4517.0,No,78.48,2382.0,8.87,50688.0,0.56,68.5 +19835,Italy,2009,Hypertension,Bacterial,16.16,4.55,6.84,0-18,Female,990702,88.97,1.98,6.85,Surgery,33952.0,Yes,84.7,73.0,5.72,67990.0,0.69,81.22 +19836,Indonesia,2011,Hepatitis,Genetic,2.95,1.88,8.99,61+,Female,36165,57.49,1.14,7.89,Surgery,39472.0,Yes,89.05,4798.0,7.96,40968.0,0.54,74.27 +19848,USA,2000,Hypertension,Metabolic,10.92,10.55,2.5,61+,Female,296644,83.86,2.8,7.44,Therapy,41687.0,No,64.14,4953.0,8.64,93301.0,0.75,84.36 +19850,South Africa,2010,Parkinson's Disease,Infectious,1.82,9.01,7.32,0-18,Male,699890,84.66,4.71,2.01,Vaccination,47237.0,No,76.03,2546.0,6.62,75434.0,0.73,82.9 +19852,Argentina,2014,Dengue,Neurological,14.89,7.38,5.8,61+,Female,260894,96.03,3.79,6.33,Therapy,10251.0,Yes,91.34,2985.0,5.41,97888.0,0.74,36.21 +19857,South Korea,2005,Cholera,Neurological,9.82,0.35,3.81,0-18,Female,568311,59.19,2.03,2.97,Surgery,22049.0,No,86.81,2277.0,6.6,92514.0,0.81,33.96 +19859,UK,2016,Asthma,Chronic,4.32,2.43,5.97,36-60,Female,626918,94.24,2.6,0.62,Vaccination,33437.0,No,78.18,1780.0,2.38,1486.0,0.69,77.17 +19882,South Korea,2001,Asthma,Parasitic,3.02,5.72,6.63,0-18,Male,609606,88.66,3.3,3.59,Surgery,32467.0,No,74.93,3566.0,7.36,8506.0,0.71,84.72 +19883,Russia,2012,Alzheimer's Disease,Metabolic,19.62,14.17,0.11,0-18,Other,68270,56.02,2.72,8.15,Surgery,18930.0,No,62.28,1049.0,6.69,15399.0,0.7,61.06 +19896,South Africa,2003,Cholera,Neurological,7.13,1.61,1.18,19-35,Female,627265,63.74,1.4,3.71,Surgery,30535.0,No,85.62,3086.0,6.16,70939.0,0.52,28.48 +19909,Saudi Arabia,2006,Hepatitis,Infectious,2.93,5.92,7.57,0-18,Male,106626,73.33,3.06,8.2,Therapy,33772.0,Yes,71.66,2784.0,7.15,9917.0,0.75,63.57 +19921,South Korea,2019,Tuberculosis,Infectious,10.7,2.11,9.77,0-18,Male,361350,85.39,4.76,7.09,Medication,4684.0,No,67.44,132.0,0.94,69806.0,0.58,59.16 +19930,Italy,2009,Measles,Respiratory,17.58,13.11,6.53,61+,Female,901077,84.45,0.53,4.42,Medication,18989.0,No,57.19,229.0,4.32,12161.0,0.84,60.62 +19959,Canada,2016,Cancer,Viral,11.79,2.37,1.92,19-35,Female,998691,82.24,2.48,2.22,Medication,16184.0,Yes,97.34,4969.0,9.04,17010.0,0.5,53.51 +19960,France,2022,Parkinson's Disease,Viral,2.07,2.1,8.68,0-18,Female,305949,71.74,0.89,8.62,Surgery,26441.0,No,81.95,3877.0,4.68,98784.0,0.56,26.54 +19964,Canada,2011,Measles,Metabolic,4.11,11.36,3.56,61+,Female,193562,64.1,0.65,8.98,Surgery,13489.0,Yes,95.79,1480.0,1.11,23720.0,0.83,22.24 +19965,Saudi Arabia,2007,Tuberculosis,Viral,11.69,12.47,2.67,19-35,Female,968450,79.52,3.07,9.54,Vaccination,21584.0,Yes,60.67,2453.0,9.71,29487.0,0.64,74.53 +19971,South Africa,2005,Cholera,Chronic,16.09,11.09,7.75,19-35,Male,60735,94.68,4.69,1.05,Vaccination,20759.0,Yes,50.24,2447.0,0.6,86833.0,0.45,76.49 +19974,UK,2005,Malaria,Genetic,0.39,8.93,3.2,0-18,Other,769992,77.47,1.47,4.36,Therapy,4844.0,Yes,58.67,3625.0,0.72,38139.0,0.88,87.61 +19985,Australia,2005,Diabetes,Chronic,11.5,6.92,9.15,61+,Female,517738,80.57,4.11,3.5,Therapy,44256.0,No,83.99,642.0,6.66,18659.0,0.7,51.61 +19996,Indonesia,2018,Leprosy,Infectious,18.75,14.51,6.3,0-18,Male,607493,75.86,0.94,2.47,Surgery,29037.0,Yes,53.7,922.0,7.17,88125.0,0.89,80.68 +20001,Nigeria,2007,Measles,Viral,7.77,2.36,8.32,19-35,Female,401617,72.77,2.98,3.37,Medication,35310.0,Yes,59.15,4114.0,7.87,60436.0,0.76,56.53 +20008,Italy,2017,Ebola,Infectious,9.41,0.66,8.27,0-18,Male,309599,91.17,3.18,1.35,Vaccination,22948.0,No,54.56,2324.0,8.96,52188.0,0.66,69.51 +20014,Germany,2024,Rabies,Genetic,6.91,9.41,3.64,19-35,Female,713838,73.54,2.15,1.75,Vaccination,3200.0,Yes,53.7,3.0,1.36,25917.0,0.53,60.79 +20018,Argentina,2011,Polio,Infectious,6.41,10.47,6.33,19-35,Other,345397,51.9,2.45,1.03,Vaccination,7071.0,No,50.47,328.0,3.26,17098.0,0.78,25.14 +20022,Germany,2013,Measles,Neurological,5.74,8.42,5.13,0-18,Male,151735,80.3,1.09,2.63,Medication,20025.0,Yes,84.15,4818.0,8.35,3182.0,0.55,57.75 +20027,South Africa,2014,Leprosy,Respiratory,14.25,7.17,9.14,61+,Female,679059,67.23,2.91,0.91,Vaccination,37146.0,Yes,85.08,1869.0,7.14,14285.0,0.43,53.13 +20037,China,2003,Malaria,Bacterial,14.96,2.74,0.39,19-35,Female,434757,80.24,1.54,7.05,Surgery,19318.0,No,70.34,3775.0,9.87,65111.0,0.67,37.82 +20043,France,2012,Leprosy,Metabolic,14.84,7.06,2.34,36-60,Female,592774,55.91,2.66,6.61,Medication,2645.0,No,80.89,2484.0,9.85,71101.0,0.44,46.11 +20060,India,2004,COVID-19,Bacterial,16.54,7.96,2.97,36-60,Other,151795,95.58,4.23,9.6,Vaccination,31640.0,No,88.74,1366.0,3.87,45570.0,0.61,82.97 +20066,France,2002,Zika,Autoimmune,13.04,2.38,2.77,61+,Male,236090,70.77,4.72,1.17,Medication,19042.0,Yes,76.55,196.0,6.53,93710.0,0.76,84.18 +20073,Italy,2021,Dengue,Autoimmune,10.53,6.38,9.18,0-18,Other,745839,74.79,4.36,4.17,Vaccination,48363.0,Yes,84.63,227.0,4.83,91820.0,0.74,62.34 +20080,Canada,2011,Tuberculosis,Infectious,19.6,1.48,7.7,36-60,Male,891436,67.66,3.83,1.09,Medication,14424.0,Yes,83.27,4246.0,8.25,19608.0,0.86,49.62 +20085,Russia,2011,Rabies,Infectious,19.96,0.91,2.67,19-35,Other,689608,85.26,3.99,4.65,Medication,2702.0,No,67.95,310.0,3.1,20713.0,0.61,56.89 +20090,Canada,2014,Diabetes,Respiratory,19.32,3.7,8.07,36-60,Other,658624,87.32,4.19,2.69,Surgery,31431.0,No,58.88,2122.0,0.37,9299.0,0.8,24.64 +20091,South Korea,2005,Measles,Autoimmune,1.62,10.55,9.23,19-35,Male,50990,58.33,1.67,1.11,Medication,1741.0,Yes,97.91,4353.0,9.54,1337.0,0.43,40.11 +20096,France,2006,Zika,Respiratory,18.64,11.39,4.55,61+,Male,153425,93.17,2.8,2.69,Medication,7136.0,No,78.57,2604.0,0.18,44536.0,0.57,88.72 +20099,USA,2013,Rabies,Viral,11.43,12.46,4.96,61+,Other,985866,95.35,3.12,6.45,Therapy,8114.0,Yes,77.11,1095.0,7.75,45086.0,0.54,31.59 +20105,USA,2021,Ebola,Chronic,4.99,5.94,5.53,36-60,Male,889115,63.34,1.74,1.11,Surgery,28776.0,No,59.8,3335.0,5.48,94637.0,0.62,25.04 +20106,Indonesia,2011,Rabies,Viral,6.03,9.27,8.84,61+,Other,965335,51.66,3.26,4.36,Vaccination,31908.0,Yes,76.32,1895.0,5.0,18170.0,0.66,42.31 +20107,Saudi Arabia,2017,Cancer,Bacterial,16.77,14.83,2.44,19-35,Female,820841,69.13,1.51,5.93,Medication,33288.0,No,71.5,774.0,6.45,96164.0,0.67,22.57 +20111,Indonesia,2007,Zika,Bacterial,1.07,11.33,4.44,19-35,Female,872269,99.9,2.81,4.74,Vaccination,18730.0,Yes,86.51,1472.0,1.49,74326.0,0.69,22.67 +20122,Germany,2012,Ebola,Metabolic,6.08,7.65,2.84,19-35,Female,937783,92.23,1.36,5.12,Vaccination,3596.0,Yes,52.51,1057.0,6.2,52847.0,0.46,80.24 +20127,Argentina,2013,Ebola,Neurological,19.81,3.6,7.76,36-60,Female,312799,71.09,1.73,2.58,Vaccination,23292.0,No,88.85,1533.0,8.54,10179.0,0.57,34.59 +20128,Nigeria,2020,Alzheimer's Disease,Cardiovascular,14.46,11.0,1.01,61+,Female,740129,83.96,3.54,8.51,Surgery,26711.0,Yes,74.7,873.0,8.76,52761.0,0.6,22.68 +20133,Germany,2019,Dengue,Respiratory,9.25,8.31,9.66,0-18,Male,430935,94.69,3.59,7.31,Medication,35123.0,Yes,96.7,4479.0,9.87,23728.0,0.53,38.46 +20142,UK,2012,Parkinson's Disease,Parasitic,7.99,3.38,3.0,61+,Other,322716,99.67,4.69,3.36,Surgery,39004.0,Yes,52.77,2712.0,7.45,23651.0,0.56,89.28 +20147,Russia,2017,Polio,Respiratory,2.54,11.01,1.99,19-35,Female,520685,74.19,4.39,8.12,Surgery,42242.0,No,57.8,4829.0,0.93,58520.0,0.83,60.15 +20151,Italy,2016,Polio,Infectious,5.11,1.95,1.43,19-35,Other,217573,90.88,1.94,1.02,Vaccination,8432.0,Yes,97.73,3899.0,8.01,82858.0,0.62,75.95 +20156,Russia,2002,COVID-19,Viral,0.61,8.6,2.41,19-35,Female,716619,50.84,3.86,3.51,Surgery,40737.0,Yes,62.12,4392.0,8.67,63083.0,0.48,22.87 +20162,Brazil,2000,Cancer,Genetic,11.01,5.02,5.05,36-60,Female,352537,98.19,1.42,7.67,Surgery,41476.0,No,59.5,3647.0,3.46,99871.0,0.68,43.37 +20165,Canada,2002,Hepatitis,Respiratory,5.69,0.92,2.1,19-35,Female,216741,63.53,1.38,9.68,Surgery,5212.0,No,93.96,2206.0,1.34,1224.0,0.67,79.78 +20169,Turkey,2014,Parkinson's Disease,Metabolic,1.45,9.1,1.26,0-18,Other,262107,61.03,3.89,4.39,Medication,19793.0,Yes,63.77,3924.0,7.06,28972.0,0.85,38.51 +20176,Brazil,2015,COVID-19,Bacterial,8.25,9.46,8.93,0-18,Male,923379,64.95,0.73,2.0,Medication,23450.0,Yes,77.04,1131.0,5.87,79333.0,0.87,76.88 +20184,Brazil,2013,Dengue,Infectious,12.13,6.5,5.82,19-35,Male,688615,98.01,3.86,9.76,Surgery,36363.0,No,95.3,1200.0,0.54,35384.0,0.77,24.03 +20186,Italy,2004,Cholera,Cardiovascular,2.05,14.38,1.97,0-18,Female,432054,61.52,2.31,2.84,Therapy,36066.0,Yes,85.02,4301.0,7.14,84942.0,0.72,80.63 +20193,Turkey,2002,Hypertension,Respiratory,5.56,2.86,0.36,19-35,Other,505935,62.88,3.15,4.0,Surgery,38201.0,Yes,73.41,3378.0,5.59,38162.0,0.44,77.61 +20194,Indonesia,2000,Hypertension,Cardiovascular,11.46,7.15,8.32,0-18,Male,35121,84.82,3.73,5.06,Surgery,32742.0,Yes,78.57,711.0,5.11,88733.0,0.64,50.09 +20204,Argentina,2007,Measles,Chronic,18.37,1.47,8.95,61+,Other,657415,99.52,2.57,1.57,Therapy,48978.0,Yes,79.63,639.0,3.39,5010.0,0.65,51.95 +20209,Mexico,2019,Alzheimer's Disease,Metabolic,12.22,4.0,6.77,0-18,Male,736871,53.45,2.52,2.62,Surgery,18719.0,Yes,80.08,2110.0,2.1,26656.0,0.53,86.4 +20212,Mexico,2003,Hepatitis,Genetic,15.87,10.26,7.63,36-60,Female,358444,93.41,3.95,1.93,Vaccination,40723.0,No,66.28,2641.0,0.28,68229.0,0.49,51.85 +20221,Russia,2008,Rabies,Metabolic,7.02,9.33,9.18,19-35,Other,410923,86.05,4.65,4.05,Therapy,853.0,Yes,88.68,974.0,4.87,47264.0,0.69,56.43 +20223,USA,2008,Cancer,Viral,11.53,9.59,3.43,61+,Female,408958,61.21,2.76,0.6,Therapy,36267.0,Yes,89.77,1117.0,8.83,53707.0,0.42,22.46 +20232,South Korea,2007,Malaria,Bacterial,7.44,7.18,9.54,19-35,Other,114059,79.06,3.6,0.89,Medication,48762.0,No,91.96,2633.0,7.01,76024.0,0.7,50.6 +20236,Australia,2014,Zika,Viral,8.4,4.26,4.83,61+,Male,742651,90.07,2.73,4.54,Therapy,14937.0,No,97.1,1742.0,0.45,12496.0,0.63,66.21 +20250,UK,2007,Rabies,Viral,19.09,3.67,9.53,0-18,Female,86718,72.23,3.29,1.18,Surgery,23803.0,Yes,93.78,521.0,0.16,55201.0,0.86,72.33 +20254,USA,2018,Asthma,Metabolic,17.43,7.33,2.28,19-35,Other,882588,78.56,4.01,8.99,Surgery,45857.0,Yes,54.77,2494.0,9.56,38421.0,0.5,76.5 +20257,Nigeria,2012,Malaria,Parasitic,18.02,7.28,8.21,0-18,Female,967863,75.81,2.2,6.6,Vaccination,22828.0,Yes,81.47,1529.0,5.07,56684.0,0.87,55.61 +20258,Australia,2010,Cholera,Viral,15.26,2.15,3.41,36-60,Female,433443,83.44,4.52,2.41,Medication,7538.0,No,88.42,4306.0,9.93,1124.0,0.42,84.91 +20259,Japan,2017,Hepatitis,Chronic,4.77,8.27,0.55,36-60,Other,938438,86.75,2.35,4.49,Vaccination,6075.0,No,94.88,654.0,6.88,87281.0,0.84,74.38 +20262,Canada,2008,Rabies,Cardiovascular,8.43,7.77,4.74,61+,Male,905791,71.13,2.11,9.8,Surgery,19651.0,No,95.57,3666.0,2.29,23821.0,0.41,23.89 +20275,India,2020,Measles,Cardiovascular,4.56,2.87,2.89,0-18,Other,193318,79.35,2.72,1.8,Therapy,15431.0,No,85.28,4575.0,8.75,67009.0,0.47,46.12 +20277,Canada,2019,Parkinson's Disease,Autoimmune,17.05,13.0,0.86,61+,Other,864481,66.01,0.68,8.67,Vaccination,19686.0,No,69.69,1120.0,1.63,44612.0,0.73,87.29 +20281,Canada,2024,Ebola,Chronic,17.7,11.86,2.27,36-60,Female,190131,88.62,1.8,8.87,Surgery,21604.0,Yes,95.7,3050.0,4.23,38210.0,0.56,80.42 +20283,Italy,2001,Alzheimer's Disease,Viral,18.22,13.81,0.48,61+,Male,173211,63.2,0.62,5.83,Vaccination,47546.0,No,81.36,428.0,4.96,12679.0,0.57,33.56 +20284,Germany,2013,Influenza,Parasitic,6.58,12.17,3.19,0-18,Male,839508,66.67,4.85,3.39,Surgery,29844.0,Yes,92.43,2981.0,9.45,95515.0,0.57,86.53 +20285,France,2012,Ebola,Autoimmune,4.02,11.44,7.71,61+,Other,497569,94.66,3.96,9.51,Therapy,22339.0,Yes,67.36,919.0,5.52,76487.0,0.88,78.94 +20295,Russia,2012,Cholera,Viral,19.6,1.84,0.88,19-35,Male,249879,72.79,3.58,6.41,Medication,23493.0,No,91.71,2999.0,5.57,99858.0,0.65,23.46 +20299,France,2010,Measles,Chronic,0.26,1.42,8.46,19-35,Male,882037,83.11,2.24,4.38,Medication,25427.0,Yes,62.3,1410.0,4.06,72679.0,0.7,49.55 +20302,Nigeria,2023,Polio,Infectious,9.54,2.78,9.18,19-35,Female,410940,61.9,2.25,9.6,Medication,43013.0,No,66.63,1789.0,7.22,98239.0,0.88,26.62 +20311,Argentina,2003,Diabetes,Respiratory,10.2,1.67,4.55,36-60,Female,335517,97.89,1.48,4.56,Surgery,5153.0,Yes,63.98,4130.0,3.42,16115.0,0.55,73.44 +20319,Saudi Arabia,2020,Ebola,Genetic,13.3,3.51,4.53,36-60,Male,643530,99.96,2.39,2.57,Medication,13174.0,No,82.07,104.0,8.74,30747.0,0.88,34.73 +20320,Indonesia,2018,Cholera,Viral,5.97,12.84,3.2,19-35,Female,733520,87.25,2.15,9.34,Vaccination,33374.0,Yes,57.21,3369.0,8.13,80128.0,0.58,38.45 +20323,UK,2019,Parkinson's Disease,Cardiovascular,15.03,13.78,5.56,61+,Female,517422,52.22,4.32,0.62,Vaccination,3373.0,Yes,50.56,353.0,6.56,68954.0,0.58,69.6 +20344,Australia,2003,Hepatitis,Chronic,16.69,11.39,1.72,0-18,Male,821496,90.84,1.91,6.99,Vaccination,12234.0,Yes,53.41,666.0,2.74,19214.0,0.85,60.8 +20346,France,2001,Alzheimer's Disease,Respiratory,2.3,9.31,6.93,19-35,Other,488287,84.64,1.95,9.27,Vaccination,7286.0,No,91.66,1935.0,5.91,19657.0,0.65,85.82 +20349,France,2005,Polio,Bacterial,15.36,7.25,4.2,61+,Male,267663,54.4,3.16,9.19,Therapy,10762.0,No,52.86,4331.0,4.5,37248.0,0.55,20.84 +20353,Australia,2024,Polio,Cardiovascular,17.12,10.43,0.88,36-60,Male,371635,50.58,4.08,3.44,Vaccination,25255.0,Yes,72.66,3772.0,0.83,43679.0,0.61,71.88 +20355,Brazil,2000,Hepatitis,Respiratory,18.19,1.38,2.77,61+,Male,769161,83.91,4.9,9.05,Surgery,28446.0,Yes,63.63,4073.0,2.29,25622.0,0.52,62.97 +20366,Mexico,2015,Dengue,Genetic,8.64,14.47,4.14,61+,Male,973240,76.08,3.18,4.43,Therapy,40145.0,Yes,68.23,4386.0,7.76,41269.0,0.68,73.89 +20368,USA,2008,Influenza,Autoimmune,0.96,6.61,8.7,61+,Male,755991,63.93,1.74,0.72,Surgery,30938.0,No,66.07,2391.0,7.05,27504.0,0.59,32.94 +20370,Turkey,2007,Rabies,Metabolic,10.11,5.2,6.75,36-60,Female,52330,65.8,4.39,2.01,Therapy,46585.0,Yes,57.66,4677.0,5.58,43140.0,0.64,45.24 +20372,USA,2008,COVID-19,Metabolic,14.13,3.52,0.96,36-60,Other,426888,51.55,4.81,5.56,Medication,12605.0,No,68.4,2847.0,0.56,39041.0,0.78,22.21 +20377,Nigeria,2005,Ebola,Genetic,10.3,1.47,6.7,61+,Male,987044,56.36,1.93,2.85,Therapy,698.0,Yes,58.06,890.0,4.66,38247.0,0.66,32.14 +20395,Argentina,2000,Ebola,Metabolic,4.27,6.13,5.62,0-18,Other,608119,75.75,2.04,2.25,Surgery,31729.0,Yes,66.24,363.0,9.9,3314.0,0.57,62.46 +20397,Brazil,2020,Influenza,Neurological,12.69,9.98,0.37,36-60,Female,427736,72.64,2.5,8.91,Vaccination,15163.0,Yes,82.4,2648.0,2.6,27684.0,0.72,24.95 +20398,Germany,2001,Cancer,Infectious,14.09,13.88,6.75,0-18,Female,873834,52.81,0.61,9.81,Therapy,20642.0,Yes,79.19,2006.0,9.09,30994.0,0.58,67.66 +20403,UK,2014,Cancer,Respiratory,3.94,5.34,5.87,61+,Female,863265,88.92,1.76,4.81,Medication,44040.0,No,78.71,3277.0,5.56,8306.0,0.46,68.7 +20406,Indonesia,2010,Hepatitis,Parasitic,11.66,6.54,0.54,19-35,Male,744606,66.2,4.57,3.95,Therapy,19804.0,Yes,81.1,1864.0,2.4,73499.0,0.76,34.16 +20408,Australia,2018,Diabetes,Autoimmune,3.8,3.61,3.41,36-60,Female,590091,92.25,3.62,2.27,Therapy,1736.0,Yes,65.3,4789.0,4.36,86978.0,0.7,35.99 +20426,Argentina,2013,Diabetes,Respiratory,6.86,14.48,9.14,61+,Other,356476,92.31,4.65,6.39,Medication,23043.0,Yes,69.66,2746.0,8.39,47419.0,0.51,56.71 +20429,Italy,2017,Diabetes,Autoimmune,10.81,0.96,2.87,36-60,Other,751893,65.25,0.77,1.91,Medication,8011.0,No,68.42,1045.0,7.68,3015.0,0.41,42.79 +20435,South Korea,2007,Measles,Viral,3.87,0.19,2.25,61+,Other,965220,76.29,1.12,7.69,Vaccination,22404.0,No,74.53,3720.0,6.87,59142.0,0.6,23.06 +20443,Turkey,2017,Cancer,Infectious,12.23,10.74,0.55,0-18,Male,598987,73.32,3.35,8.14,Therapy,19273.0,No,65.43,4230.0,1.43,9510.0,0.8,22.32 +20444,Mexico,2022,COVID-19,Genetic,11.29,6.24,3.43,61+,Other,190136,62.08,3.33,4.57,Surgery,17565.0,No,73.92,2061.0,6.4,41482.0,0.74,86.86 +20447,Canada,2000,Dengue,Genetic,15.33,13.24,9.24,0-18,Female,659421,65.31,1.14,7.48,Therapy,31004.0,No,72.38,550.0,9.1,79520.0,0.69,26.77 +20452,India,2024,Zika,Bacterial,15.13,8.46,4.18,19-35,Male,40427,78.35,2.94,4.63,Vaccination,46524.0,Yes,72.52,1877.0,7.21,78163.0,0.86,53.2 +20463,Japan,2009,Influenza,Cardiovascular,2.39,4.09,2.81,61+,Male,777573,90.66,4.31,3.92,Vaccination,25879.0,Yes,84.1,1098.0,4.26,22142.0,0.44,38.1 +20464,Turkey,2013,Malaria,Genetic,11.29,10.76,5.98,36-60,Female,408271,81.1,4.29,3.38,Surgery,27134.0,Yes,66.57,3143.0,5.59,48175.0,0.44,85.69 +20474,South Africa,2008,Influenza,Cardiovascular,13.87,4.57,6.21,19-35,Other,220793,72.26,3.62,7.11,Medication,41451.0,Yes,87.81,981.0,2.85,47708.0,0.49,65.71 +20477,Argentina,2015,COVID-19,Cardiovascular,8.42,0.77,4.28,19-35,Male,936703,82.96,3.92,2.55,Therapy,27475.0,No,72.43,326.0,6.89,4373.0,0.68,85.88 +20479,Australia,2015,Alzheimer's Disease,Metabolic,10.01,8.74,0.26,61+,Male,538332,92.52,4.9,3.79,Vaccination,27935.0,No,61.74,1599.0,0.87,57263.0,0.68,78.37 +20484,Saudi Arabia,2009,COVID-19,Metabolic,3.53,9.13,1.29,19-35,Female,882484,95.78,0.94,0.87,Surgery,15734.0,Yes,66.38,381.0,3.17,8690.0,0.63,70.69 +20491,Mexico,2009,Hypertension,Neurological,16.02,6.19,4.24,19-35,Male,732411,60.49,3.61,8.64,Vaccination,7496.0,Yes,73.57,969.0,9.62,63192.0,0.71,73.72 +20494,South Africa,2014,Alzheimer's Disease,Infectious,18.57,12.01,0.48,19-35,Female,806590,83.35,3.41,7.31,Vaccination,15130.0,Yes,58.1,673.0,4.03,47379.0,0.7,40.53 +20496,USA,2019,Parkinson's Disease,Genetic,13.59,5.52,6.74,36-60,Male,481229,89.94,4.23,2.33,Vaccination,27138.0,No,94.02,4958.0,8.19,1131.0,0.63,26.4 +20503,Canada,2007,Cancer,Parasitic,16.91,2.76,8.89,36-60,Other,851952,59.7,2.72,8.77,Surgery,40598.0,Yes,95.87,3362.0,5.19,67276.0,0.46,37.31 +20506,Canada,2014,Ebola,Metabolic,14.38,7.39,2.65,0-18,Male,376150,59.28,2.49,0.61,Medication,29741.0,Yes,96.43,2040.0,8.83,47056.0,0.83,26.52 +20511,Italy,2003,Rabies,Metabolic,13.8,10.12,8.0,61+,Female,102960,98.58,4.1,1.39,Medication,40668.0,Yes,98.02,1256.0,3.22,18810.0,0.77,87.93 +20512,Brazil,2015,Dengue,Viral,17.25,9.25,9.77,61+,Female,877152,54.9,2.8,8.73,Medication,45300.0,No,70.71,575.0,1.95,29861.0,0.64,74.72 +20513,Canada,2014,Asthma,Neurological,15.28,7.55,7.94,19-35,Male,579686,86.59,4.2,6.26,Surgery,9769.0,No,68.09,2741.0,4.77,7293.0,0.69,41.16 +20514,Japan,2011,Polio,Bacterial,17.0,0.18,3.72,61+,Male,761057,79.74,4.5,0.91,Vaccination,1355.0,No,88.13,271.0,2.2,95040.0,0.69,42.36 +20518,Russia,2000,Cancer,Respiratory,19.34,2.85,4.13,61+,Other,523527,64.18,3.51,6.85,Vaccination,12247.0,Yes,71.25,1423.0,1.24,61996.0,0.67,78.83 +20520,Mexico,2019,Rabies,Cardiovascular,5.87,3.5,3.34,0-18,Other,397947,89.81,3.54,3.66,Surgery,40189.0,No,66.47,4518.0,1.63,98957.0,0.86,58.59 +20531,South Africa,2018,Hepatitis,Metabolic,3.87,7.02,0.42,36-60,Male,107463,88.85,1.97,2.27,Medication,9808.0,Yes,62.24,225.0,6.92,3435.0,0.82,42.35 +20532,Nigeria,2009,COVID-19,Respiratory,15.42,13.98,8.29,0-18,Male,88483,92.49,3.36,2.42,Vaccination,1316.0,No,59.11,4862.0,0.03,47516.0,0.71,44.63 +20541,India,2007,HIV/AIDS,Viral,15.83,6.49,7.28,61+,Female,990726,94.17,1.94,2.26,Surgery,23431.0,Yes,83.5,3386.0,9.39,86615.0,0.44,36.51 +20547,South Africa,2011,Hepatitis,Cardiovascular,8.57,10.63,2.79,36-60,Male,392636,60.77,4.44,2.99,Therapy,37404.0,Yes,82.12,2461.0,1.87,22128.0,0.77,26.38 +20549,Nigeria,2007,Measles,Metabolic,13.42,14.0,8.51,36-60,Male,700247,62.73,3.47,5.11,Surgery,48285.0,Yes,76.02,84.0,4.76,66466.0,0.61,73.67 +20552,Indonesia,2001,Hepatitis,Bacterial,11.87,4.05,6.62,19-35,Male,588981,54.33,3.28,5.44,Therapy,12534.0,No,51.3,1087.0,9.05,61352.0,0.53,87.05 +20561,UK,2003,Ebola,Parasitic,18.78,7.39,7.48,0-18,Other,722257,95.23,3.17,5.18,Therapy,39837.0,No,57.03,4214.0,5.11,71397.0,0.78,86.15 +20565,Mexico,2006,Ebola,Parasitic,15.99,11.6,8.19,61+,Female,543967,88.32,0.51,4.7,Therapy,9053.0,Yes,80.99,4607.0,1.77,63872.0,0.84,75.93 +20566,Canada,2013,Alzheimer's Disease,Infectious,11.37,3.9,0.51,61+,Female,235377,60.5,4.07,5.06,Surgery,4738.0,No,79.18,2294.0,6.02,6491.0,0.46,30.73 +20569,Japan,2011,Cancer,Bacterial,19.15,4.34,4.58,0-18,Male,587851,66.06,3.8,8.21,Medication,44786.0,Yes,72.64,4044.0,6.11,12136.0,0.53,58.6 +20571,Indonesia,2004,Polio,Neurological,8.25,2.6,0.46,0-18,Male,129903,56.22,3.95,6.84,Medication,2020.0,Yes,69.26,1171.0,3.81,82177.0,0.85,76.63 +20574,India,2015,Leprosy,Infectious,19.53,14.13,8.76,19-35,Other,777051,59.75,2.69,9.9,Vaccination,29149.0,No,67.32,3883.0,0.53,24396.0,0.54,85.21 +20580,India,2007,Hepatitis,Neurological,4.69,11.59,5.55,19-35,Female,659575,74.78,4.76,9.42,Surgery,21088.0,No,88.36,1107.0,5.83,54918.0,0.76,64.64 +20583,Saudi Arabia,2011,Parkinson's Disease,Bacterial,4.54,12.97,1.88,19-35,Male,585344,86.87,2.55,3.91,Surgery,49527.0,Yes,73.28,1522.0,9.89,43139.0,0.43,24.19 +20584,Brazil,2008,Polio,Cardiovascular,18.76,12.58,5.25,19-35,Male,373112,70.01,0.98,4.97,Surgery,16159.0,Yes,86.71,4559.0,7.42,13973.0,0.83,50.98 +20588,India,2011,HIV/AIDS,Autoimmune,1.57,11.78,6.95,19-35,Female,452205,92.99,3.76,7.28,Surgery,13109.0,Yes,58.1,3078.0,1.3,57923.0,0.45,84.71 +20590,Turkey,2011,Dengue,Infectious,8.79,0.65,2.52,36-60,Other,129031,92.24,0.56,9.91,Medication,6010.0,No,90.25,3858.0,3.55,91946.0,0.82,78.52 +20591,France,2008,Alzheimer's Disease,Respiratory,8.33,8.43,4.5,19-35,Other,852985,69.33,4.58,2.8,Therapy,19948.0,No,94.18,3235.0,9.09,59287.0,0.82,83.15 +20595,Turkey,2000,Leprosy,Respiratory,9.62,4.22,8.72,36-60,Female,261926,66.43,1.05,8.95,Therapy,20297.0,Yes,56.73,2372.0,7.4,4315.0,0.79,27.63 +20596,Indonesia,2010,Parkinson's Disease,Autoimmune,5.49,6.44,8.93,0-18,Female,516761,76.12,1.66,4.0,Vaccination,27791.0,No,56.06,3140.0,8.49,32443.0,0.85,41.09 +20608,France,2018,Diabetes,Cardiovascular,3.75,2.44,3.2,0-18,Male,424482,92.44,4.61,8.07,Vaccination,48822.0,No,62.09,1274.0,1.25,75781.0,0.48,59.82 +20612,South Africa,2009,Polio,Bacterial,9.15,5.44,2.75,0-18,Male,883562,97.87,2.11,3.24,Therapy,18781.0,No,70.44,1632.0,2.7,28683.0,0.43,85.98 +20624,India,2003,Cancer,Genetic,4.08,1.01,9.9,19-35,Male,510793,65.41,1.26,2.86,Surgery,26444.0,Yes,82.12,1252.0,7.23,67222.0,0.76,52.85 +20628,Mexico,2023,HIV/AIDS,Respiratory,8.03,0.28,8.47,61+,Other,280916,65.92,3.93,6.93,Therapy,32019.0,No,51.69,987.0,9.02,2013.0,0.8,26.24 +20661,France,2021,Measles,Infectious,15.98,3.59,4.25,36-60,Male,15524,71.34,3.21,7.3,Vaccination,17707.0,No,82.62,3705.0,2.6,60956.0,0.84,73.58 +20663,Japan,2023,Rabies,Chronic,14.33,2.98,2.32,0-18,Other,998216,83.95,2.71,1.61,Vaccination,25456.0,No,93.48,3318.0,6.36,75784.0,0.76,25.34 +20674,Turkey,2023,Cholera,Respiratory,18.47,3.72,4.39,0-18,Male,276920,62.24,3.99,4.11,Vaccination,36992.0,No,82.5,2816.0,3.51,32939.0,0.71,45.39 +20676,Mexico,2004,Cholera,Parasitic,7.13,11.08,6.95,36-60,Female,265615,80.26,2.92,7.4,Vaccination,35394.0,No,98.91,4297.0,5.64,23219.0,0.5,41.09 +20682,Japan,2014,Ebola,Infectious,16.86,4.85,0.62,36-60,Male,223160,69.27,1.06,3.37,Vaccination,28529.0,No,77.0,3447.0,0.3,61674.0,0.84,72.94 +20691,South Africa,2021,HIV/AIDS,Cardiovascular,15.81,14.36,5.47,19-35,Male,948294,72.64,0.96,4.31,Medication,24595.0,Yes,81.22,965.0,5.29,36649.0,0.47,66.82 +20694,Saudi Arabia,2005,Hepatitis,Genetic,13.29,2.68,0.4,36-60,Male,910315,66.72,1.62,6.61,Surgery,24620.0,Yes,86.09,3174.0,5.65,75170.0,0.7,74.5 +20703,Russia,2016,Influenza,Autoimmune,7.46,3.51,3.91,61+,Male,365416,79.45,3.99,3.75,Therapy,31651.0,Yes,55.79,2317.0,4.49,95713.0,0.86,71.29 +20704,South Korea,2018,Malaria,Cardiovascular,12.93,5.69,4.95,19-35,Male,404322,84.32,3.44,9.44,Vaccination,48792.0,No,60.42,4895.0,4.79,21215.0,0.66,29.32 +20706,France,2017,Tuberculosis,Cardiovascular,5.97,8.83,6.97,36-60,Other,5794,77.93,1.32,6.48,Surgery,45538.0,Yes,84.63,3547.0,2.35,26742.0,0.58,59.0 +20707,UK,2020,Zika,Bacterial,1.26,13.65,3.45,0-18,Other,928026,97.24,4.18,1.47,Surgery,35059.0,Yes,86.71,178.0,1.35,93559.0,0.75,30.96 +20708,Mexico,2004,Tuberculosis,Neurological,17.5,8.18,5.96,19-35,Other,897855,87.76,3.0,2.5,Surgery,19681.0,No,87.26,117.0,9.61,61241.0,0.71,79.05 +20726,Russia,2013,Asthma,Chronic,17.26,7.51,7.37,36-60,Female,552561,83.09,2.06,1.85,Medication,43269.0,Yes,68.57,1277.0,5.46,80847.0,0.51,24.85 +20728,Japan,2007,Measles,Respiratory,9.52,11.28,6.4,61+,Other,812905,76.61,3.65,9.86,Vaccination,15676.0,Yes,69.03,2761.0,6.97,18916.0,0.42,79.5 +20730,Brazil,2003,Zika,Metabolic,10.95,14.9,3.95,36-60,Other,458535,76.12,3.05,6.45,Vaccination,1571.0,No,92.23,2551.0,7.14,29960.0,0.76,75.4 +20732,Australia,2014,Leprosy,Respiratory,18.99,6.44,3.62,61+,Female,949113,73.77,2.83,2.56,Vaccination,25682.0,Yes,69.01,2129.0,9.12,29543.0,0.55,40.51 +20743,USA,2013,Influenza,Viral,7.76,9.06,5.91,61+,Female,74857,52.85,2.92,1.8,Vaccination,43387.0,No,80.34,1822.0,9.01,76852.0,0.5,21.98 +20744,Argentina,2019,Influenza,Respiratory,0.34,8.4,6.35,0-18,Female,629013,50.71,4.63,9.4,Surgery,18767.0,Yes,64.03,2408.0,8.08,30568.0,0.48,66.75 +20745,Canada,2002,Parkinson's Disease,Viral,5.99,11.99,1.11,0-18,Other,166877,97.99,3.99,4.22,Therapy,48694.0,No,71.79,2688.0,1.89,40486.0,0.81,64.55 +20746,Germany,2021,Diabetes,Genetic,2.41,4.69,8.99,36-60,Other,383652,79.0,2.16,5.45,Vaccination,17792.0,No,83.5,908.0,6.61,86160.0,0.73,24.84 +20751,Japan,2005,Rabies,Chronic,15.06,11.23,3.48,19-35,Other,563261,99.77,1.35,1.73,Therapy,40803.0,Yes,68.25,2438.0,5.27,10043.0,0.52,34.91 +20762,Japan,2022,Cancer,Chronic,4.4,2.65,7.41,61+,Female,163127,94.21,0.77,2.51,Vaccination,45065.0,No,82.81,253.0,9.25,49378.0,0.8,87.54 +20765,Mexico,2007,Leprosy,Respiratory,4.55,14.7,4.92,61+,Male,455920,94.13,3.91,1.16,Surgery,1106.0,No,92.96,3476.0,8.63,33288.0,0.82,45.03 +20770,Russia,2014,Dengue,Autoimmune,13.56,1.46,9.41,61+,Male,292743,86.41,4.46,2.83,Vaccination,28928.0,No,60.24,476.0,1.33,17841.0,0.49,45.53 +20779,Australia,2002,Zika,Respiratory,13.41,8.96,1.8,36-60,Other,516717,90.09,2.81,3.19,Medication,30405.0,Yes,84.54,638.0,3.05,75914.0,0.52,67.11 +20784,India,2011,Asthma,Autoimmune,18.07,13.23,7.33,19-35,Other,888350,55.02,2.73,3.34,Medication,3928.0,No,93.03,4382.0,7.11,72067.0,0.68,57.49 +20787,Mexico,2003,Cancer,Autoimmune,12.91,12.12,4.04,0-18,Male,351927,52.89,3.14,2.23,Surgery,14336.0,Yes,65.36,801.0,2.13,25202.0,0.61,23.24 +20788,South Africa,2010,Malaria,Infectious,7.15,10.26,5.35,0-18,Female,195948,68.47,2.82,3.52,Vaccination,30285.0,Yes,53.19,84.0,1.83,67759.0,0.76,24.1 +20789,India,2024,Hepatitis,Respiratory,10.53,2.63,7.75,19-35,Female,283456,90.19,1.01,1.45,Therapy,30264.0,Yes,74.9,4411.0,8.72,3807.0,0.51,28.5 +20790,Argentina,2010,Ebola,Parasitic,13.27,1.8,7.94,61+,Female,697325,64.86,3.55,8.94,Surgery,24344.0,No,72.1,534.0,4.47,5597.0,0.46,31.94 +20796,South Africa,2017,HIV/AIDS,Respiratory,1.19,0.97,5.85,36-60,Female,860216,59.55,1.83,6.49,Medication,13438.0,No,94.7,4431.0,9.15,36379.0,0.56,28.99 +20808,India,2011,COVID-19,Bacterial,2.64,12.9,9.84,19-35,Male,21565,89.83,1.8,5.39,Vaccination,45817.0,No,52.12,2271.0,8.13,88833.0,0.56,78.56 +20815,USA,2001,Leprosy,Infectious,6.99,4.79,0.29,0-18,Male,169319,93.23,3.41,3.59,Vaccination,22876.0,No,80.12,198.0,5.2,81782.0,0.51,29.79 +20816,Brazil,2002,Leprosy,Autoimmune,1.94,3.55,2.41,61+,Male,988437,67.2,2.21,7.89,Surgery,23295.0,No,90.86,4307.0,3.32,61824.0,0.53,63.73 +20818,Russia,2014,HIV/AIDS,Infectious,9.27,5.86,7.64,61+,Male,530393,66.73,0.54,1.23,Vaccination,20292.0,Yes,92.85,2530.0,0.85,25670.0,0.6,89.59 +20827,South Africa,2010,Tuberculosis,Respiratory,16.03,7.2,7.96,0-18,Male,285649,81.28,3.98,7.9,Surgery,20470.0,No,79.28,3865.0,1.66,43547.0,0.8,56.05 +20829,South Korea,2005,Influenza,Genetic,7.5,13.75,5.02,36-60,Male,874359,53.24,1.19,3.12,Therapy,41704.0,No,63.81,1853.0,8.06,26179.0,0.6,48.3 +20835,Mexico,2001,Ebola,Infectious,4.61,6.57,1.95,0-18,Male,837723,59.68,1.95,3.73,Medication,22001.0,No,72.22,243.0,3.15,92063.0,0.88,47.04 +20843,India,2000,Alzheimer's Disease,Autoimmune,15.32,3.89,7.89,61+,Other,782919,60.34,3.35,4.94,Vaccination,9444.0,Yes,91.76,1402.0,4.73,2542.0,0.45,66.94 +20847,Nigeria,2001,Hypertension,Bacterial,0.85,9.99,8.82,0-18,Male,385488,68.63,3.25,8.3,Medication,21676.0,No,62.91,4215.0,2.04,26783.0,0.49,25.78 +20858,Nigeria,2006,Ebola,Parasitic,17.41,14.46,3.83,19-35,Female,937586,95.25,2.38,1.57,Vaccination,33708.0,Yes,71.35,466.0,9.97,75404.0,0.79,63.22 +20860,Indonesia,2003,Diabetes,Bacterial,19.48,12.52,0.16,0-18,Other,978275,70.59,4.36,1.04,Medication,7532.0,Yes,98.94,2402.0,3.21,15744.0,0.49,74.48 +20865,Saudi Arabia,2024,COVID-19,Respiratory,6.57,0.82,1.07,19-35,Other,895080,68.45,1.09,0.71,Medication,17485.0,Yes,64.32,1010.0,4.19,5770.0,0.49,78.45 +20866,Brazil,2013,Tuberculosis,Cardiovascular,0.92,14.05,8.31,36-60,Male,642277,75.98,1.04,2.59,Medication,15245.0,Yes,68.21,661.0,3.1,30812.0,0.85,44.41 +20867,Japan,2011,Malaria,Bacterial,12.46,5.64,2.46,61+,Female,317304,79.24,4.4,5.2,Medication,38503.0,Yes,86.96,4943.0,7.41,26388.0,0.44,72.19 +20870,Brazil,2000,Hepatitis,Respiratory,15.93,11.54,0.57,61+,Female,824627,51.63,4.07,9.6,Surgery,18197.0,Yes,70.49,1325.0,6.29,97324.0,0.7,52.24 +20882,Saudi Arabia,2002,COVID-19,Autoimmune,7.28,3.6,2.0,36-60,Other,830087,64.6,0.93,7.88,Therapy,22353.0,No,91.61,459.0,9.44,57159.0,0.5,72.65 +20883,Russia,2006,Tuberculosis,Respiratory,14.49,11.79,9.39,19-35,Male,491454,96.54,1.47,2.1,Surgery,35272.0,Yes,94.67,4825.0,5.46,49158.0,0.9,46.77 +20888,France,2005,Asthma,Genetic,9.67,1.1,2.68,0-18,Male,318133,67.66,1.02,6.27,Therapy,40921.0,No,77.26,197.0,8.4,51459.0,0.62,23.32 +20902,Japan,2014,Rabies,Autoimmune,17.11,4.64,4.63,19-35,Male,191604,86.64,3.37,3.29,Surgery,40875.0,Yes,70.37,1245.0,7.39,61695.0,0.63,58.0 +20907,Canada,2006,Leprosy,Autoimmune,12.45,9.93,9.57,61+,Female,445285,72.8,2.82,7.78,Therapy,17543.0,Yes,91.45,1931.0,8.65,95910.0,0.62,20.02 +20910,UK,2017,HIV/AIDS,Genetic,19.86,3.72,2.07,36-60,Female,170489,93.49,3.61,2.26,Surgery,33650.0,Yes,86.54,3412.0,5.85,50785.0,0.56,60.34 +20921,UK,2022,Asthma,Respiratory,6.63,9.22,7.02,0-18,Male,417318,52.64,3.18,4.57,Medication,20340.0,No,66.43,429.0,9.06,30979.0,0.88,62.71 +20922,China,2012,Parkinson's Disease,Infectious,2.37,10.68,2.33,36-60,Male,254633,55.48,0.89,7.89,Medication,5933.0,Yes,75.8,356.0,3.74,28664.0,0.56,76.68 +20926,Saudi Arabia,2003,Cholera,Bacterial,4.7,12.32,0.84,61+,Male,302043,73.21,1.52,0.62,Medication,24733.0,Yes,76.28,4284.0,5.48,4004.0,0.73,63.5 +20930,China,2003,Tuberculosis,Chronic,14.63,10.16,1.44,36-60,Female,482317,80.57,1.22,4.1,Therapy,31004.0,Yes,84.42,2077.0,5.26,18996.0,0.55,83.36 +20934,Canada,2023,Asthma,Genetic,10.97,11.12,3.68,19-35,Female,73110,92.92,2.91,4.1,Surgery,21783.0,No,67.35,3155.0,2.5,58971.0,0.88,56.35 +20939,India,2015,Dengue,Bacterial,6.36,10.31,3.67,36-60,Other,497288,81.15,1.37,5.78,Medication,25036.0,Yes,64.11,2214.0,7.89,61612.0,0.72,69.21 +20944,South Africa,2014,Hepatitis,Autoimmune,8.92,2.49,7.54,61+,Other,158905,79.77,3.38,7.05,Vaccination,15886.0,No,58.93,4019.0,0.14,2762.0,0.61,87.66 +20947,South Korea,2001,Hepatitis,Genetic,6.1,8.8,1.29,36-60,Other,307082,94.69,1.22,5.02,Medication,14800.0,No,87.04,1203.0,6.96,78481.0,0.42,52.83 +20953,USA,2009,Dengue,Infectious,1.39,3.71,6.67,61+,Other,127432,84.48,4.42,8.77,Surgery,20199.0,Yes,61.89,465.0,0.7,41390.0,0.69,26.62 +20954,South Africa,2013,Dengue,Viral,2.4,6.46,4.3,0-18,Other,891103,73.86,2.94,5.22,Therapy,38216.0,No,54.06,4448.0,8.32,86372.0,0.79,37.53 +20961,Canada,2008,Parkinson's Disease,Viral,15.15,3.35,3.73,61+,Female,565094,57.57,1.53,5.28,Therapy,22997.0,No,56.97,4214.0,7.04,96895.0,0.41,51.44 +20969,Italy,2005,Polio,Metabolic,0.98,13.09,6.93,36-60,Male,952261,93.07,2.67,9.26,Vaccination,46653.0,Yes,83.62,2741.0,7.4,84918.0,0.79,27.98 +20970,India,2009,Ebola,Cardiovascular,1.22,6.64,1.53,36-60,Female,871852,88.97,3.13,1.51,Medication,49153.0,No,64.22,1467.0,5.88,54470.0,0.88,84.54 +20971,Russia,2012,Alzheimer's Disease,Neurological,5.91,5.47,5.81,0-18,Male,141485,73.3,3.79,6.04,Surgery,41290.0,Yes,74.64,1644.0,7.47,14546.0,0.69,24.62 +20972,Saudi Arabia,2002,Hepatitis,Viral,6.46,11.81,6.14,19-35,Female,464016,53.82,0.88,5.14,Surgery,38108.0,Yes,68.78,3863.0,6.71,7903.0,0.85,44.97 +20976,Russia,2014,Zika,Genetic,17.76,3.24,3.73,19-35,Male,902589,79.93,1.82,8.68,Therapy,44951.0,No,71.69,2404.0,2.42,80226.0,0.79,84.43 +20995,India,2005,Leprosy,Metabolic,6.18,3.32,8.05,36-60,Other,476433,63.29,4.23,0.56,Therapy,25267.0,No,53.85,3654.0,7.03,89908.0,0.84,60.56 +21003,Japan,2018,Influenza,Viral,11.91,9.72,1.85,0-18,Other,296115,91.02,3.15,7.92,Vaccination,41410.0,Yes,84.78,1650.0,3.13,32565.0,0.6,64.81 +21008,Canada,2021,COVID-19,Metabolic,13.32,6.28,0.86,36-60,Male,789249,54.53,2.67,6.0,Medication,38066.0,No,80.21,1765.0,8.82,92852.0,0.68,25.18 +21014,Indonesia,2023,Polio,Genetic,2.6,11.48,0.62,61+,Female,256899,68.41,1.77,3.57,Surgery,49552.0,Yes,96.08,3673.0,7.62,23534.0,0.78,38.88 +21017,South Africa,2022,Parkinson's Disease,Infectious,16.39,1.87,4.91,0-18,Other,348975,82.12,3.9,0.61,Surgery,32613.0,Yes,81.81,3149.0,6.86,57424.0,0.6,85.73 +21018,Japan,2003,Hypertension,Viral,13.34,9.36,9.77,0-18,Female,1464,99.69,1.65,3.04,Medication,4520.0,Yes,93.94,978.0,8.81,81390.0,0.42,88.81 +21024,UK,2015,Dengue,Respiratory,1.89,2.0,2.83,19-35,Other,996273,84.45,4.29,4.63,Therapy,40425.0,Yes,87.33,348.0,1.12,7642.0,0.48,78.32 +21026,Italy,2023,Leprosy,Parasitic,14.52,8.87,6.8,19-35,Male,481785,57.7,0.69,7.83,Medication,43266.0,No,97.63,362.0,7.84,51117.0,0.72,74.05 +21028,Nigeria,2003,Leprosy,Cardiovascular,3.32,13.29,7.35,36-60,Female,109352,84.32,2.34,2.13,Therapy,13125.0,No,90.26,3283.0,7.37,84460.0,0.76,76.89 +21031,South Korea,2011,Zika,Parasitic,3.74,13.51,4.41,19-35,Other,431777,55.4,4.53,2.68,Medication,23056.0,Yes,58.54,328.0,9.27,34266.0,0.86,69.74 +21036,Brazil,2013,Hypertension,Bacterial,3.98,6.79,3.44,61+,Male,865719,80.66,2.06,5.63,Therapy,2411.0,Yes,84.35,3384.0,6.4,11594.0,0.62,30.73 +21043,USA,2006,Rabies,Viral,9.27,10.27,0.76,0-18,Female,330543,93.35,3.65,4.43,Vaccination,15320.0,No,51.28,4260.0,8.12,42895.0,0.85,65.41 +21054,France,2024,Asthma,Metabolic,1.44,7.68,7.54,0-18,Female,676599,87.5,3.12,6.84,Vaccination,26106.0,No,80.35,1489.0,2.58,40822.0,0.43,57.18 +21061,Russia,2021,Alzheimer's Disease,Infectious,9.57,2.07,5.68,0-18,Male,881943,62.46,3.49,3.33,Surgery,28844.0,Yes,74.78,1329.0,7.22,1207.0,0.71,65.86 +21068,Canada,2011,Dengue,Viral,2.23,6.99,6.62,61+,Male,183255,58.21,2.46,0.86,Medication,26813.0,No,87.46,2122.0,9.93,42747.0,0.88,75.4 +21115,South Korea,2007,Tuberculosis,Autoimmune,14.4,0.29,7.81,19-35,Female,100188,83.4,0.67,9.41,Vaccination,23261.0,Yes,68.84,424.0,7.69,13857.0,0.44,28.82 +21120,Russia,2011,Zika,Infectious,5.01,2.57,7.67,0-18,Other,774066,97.43,2.59,1.37,Surgery,18226.0,Yes,88.95,2810.0,7.97,79951.0,0.48,36.98 +21122,India,2002,COVID-19,Metabolic,19.19,6.26,2.39,61+,Male,751096,52.9,3.66,4.52,Vaccination,43534.0,Yes,50.32,3057.0,4.0,64954.0,0.58,40.23 +21130,USA,2012,Cholera,Chronic,14.98,2.43,6.94,61+,Other,272048,83.3,0.51,9.92,Medication,25498.0,Yes,58.23,1951.0,8.48,3537.0,0.57,39.4 +21143,Germany,2020,Tuberculosis,Respiratory,10.75,6.1,9.37,0-18,Female,337494,83.84,4.52,2.95,Therapy,46079.0,Yes,81.59,1259.0,7.56,36423.0,0.69,33.16 +21147,Canada,2005,Malaria,Parasitic,14.94,1.21,9.53,61+,Male,659023,51.43,1.58,8.68,Therapy,20823.0,Yes,65.98,94.0,1.84,61003.0,0.68,30.43 +21149,Indonesia,2005,Diabetes,Infectious,14.76,1.98,6.54,36-60,Other,259819,78.12,1.74,7.73,Medication,19880.0,No,74.53,408.0,3.77,40370.0,0.69,43.29 +21151,Canada,2017,Malaria,Autoimmune,8.1,2.12,6.64,0-18,Female,170189,88.59,1.8,4.36,Medication,23980.0,No,62.25,2303.0,2.67,72160.0,0.52,73.28 +21163,Brazil,2007,Dengue,Respiratory,6.54,4.02,4.85,0-18,Male,400919,96.7,3.15,3.93,Surgery,17256.0,No,57.72,3084.0,6.01,20218.0,0.72,73.92 +21166,Mexico,2008,Malaria,Bacterial,13.82,0.89,1.08,61+,Female,935833,53.39,4.73,2.25,Vaccination,6968.0,No,97.22,4824.0,7.63,18610.0,0.79,68.27 +21175,South Korea,2019,Dengue,Parasitic,11.44,2.65,2.64,0-18,Female,94407,77.33,1.14,1.31,Surgery,13038.0,No,86.0,3907.0,8.6,40559.0,0.64,21.55 +21176,South Africa,2019,Measles,Respiratory,7.79,13.65,7.34,19-35,Male,551152,94.58,1.82,5.22,Vaccination,30435.0,No,62.45,4994.0,1.96,69742.0,0.48,55.53 +21187,Russia,2017,Leprosy,Autoimmune,0.92,4.89,4.88,0-18,Female,531192,56.98,3.72,9.52,Vaccination,45411.0,No,98.64,2912.0,6.99,55114.0,0.42,76.68 +21199,Germany,2007,Ebola,Cardiovascular,19.76,9.74,4.87,0-18,Other,39493,74.76,3.48,9.48,Medication,41942.0,Yes,68.46,3704.0,9.33,12801.0,0.43,61.7 +21200,Italy,2006,Malaria,Autoimmune,8.95,13.14,6.38,0-18,Male,247853,94.35,2.72,4.2,Surgery,8978.0,No,74.18,3052.0,5.93,8688.0,0.77,78.77 +21201,India,2006,Influenza,Genetic,10.37,14.27,5.19,0-18,Other,795355,95.74,3.17,4.31,Surgery,23227.0,Yes,78.3,2964.0,7.23,50833.0,0.59,89.88 +21204,Indonesia,2001,Tuberculosis,Viral,6.24,5.44,7.73,36-60,Other,12708,65.76,3.53,7.92,Medication,2856.0,Yes,68.61,3669.0,7.62,20327.0,0.64,25.35 +21213,China,2019,Hepatitis,Respiratory,3.43,4.13,3.08,36-60,Female,671450,71.92,2.58,0.57,Vaccination,34287.0,No,98.92,4820.0,9.67,67079.0,0.69,73.53 +21218,France,2023,Dengue,Genetic,18.47,0.73,0.78,36-60,Female,54936,90.9,4.53,0.99,Vaccination,40812.0,Yes,95.19,1414.0,9.07,11261.0,0.69,62.54 +21227,UK,2012,Diabetes,Parasitic,1.48,7.67,9.37,19-35,Other,466739,91.25,4.15,7.47,Medication,2034.0,No,59.06,4793.0,9.94,11749.0,0.61,71.81 +21231,Russia,2020,Ebola,Autoimmune,5.42,3.54,3.56,0-18,Other,738287,76.88,2.17,1.64,Medication,31234.0,No,80.85,3420.0,5.14,25290.0,0.8,66.32 +21233,Germany,2013,Leprosy,Viral,13.13,10.44,0.36,61+,Female,867341,88.09,0.95,7.48,Vaccination,39976.0,No,86.04,3695.0,1.68,17416.0,0.88,43.56 +21235,Argentina,2002,Polio,Viral,18.7,11.06,4.03,19-35,Male,131080,99.42,2.41,3.26,Surgery,5774.0,No,67.78,2770.0,5.6,7263.0,0.44,73.87 +21238,China,2015,Hypertension,Infectious,7.01,14.69,1.63,61+,Male,503456,82.78,1.15,1.48,Vaccination,3310.0,Yes,65.56,434.0,4.89,17792.0,0.65,61.33 +21243,South Korea,2016,Zika,Bacterial,3.28,3.15,8.56,36-60,Male,53522,56.32,2.63,9.21,Surgery,32510.0,Yes,77.15,4161.0,2.72,44445.0,0.82,50.45 +21247,Mexico,2022,Leprosy,Autoimmune,13.15,2.47,3.03,61+,Female,511248,67.23,3.2,1.6,Medication,22278.0,No,59.46,2816.0,2.32,27955.0,0.76,30.62 +21253,Nigeria,2023,Leprosy,Autoimmune,6.52,6.63,5.78,19-35,Female,928267,83.26,2.05,5.08,Vaccination,1022.0,No,83.74,2262.0,8.38,55524.0,0.51,79.52 +21256,USA,2010,Dengue,Bacterial,0.15,5.85,6.45,36-60,Female,431306,66.96,0.54,3.02,Medication,48060.0,Yes,78.02,1299.0,3.04,84172.0,0.57,67.51 +21267,USA,2018,Cancer,Genetic,13.98,13.7,3.63,0-18,Other,779006,82.89,2.56,9.82,Medication,4425.0,No,60.06,3050.0,0.91,1284.0,0.55,20.53 +21268,Brazil,2017,Alzheimer's Disease,Cardiovascular,14.24,4.4,8.03,19-35,Other,414330,69.69,1.24,9.95,Vaccination,28567.0,Yes,77.15,2200.0,6.71,32930.0,0.47,22.05 +21270,Canada,2022,Measles,Genetic,14.01,5.61,3.08,0-18,Female,186965,52.15,3.61,3.51,Surgery,11370.0,Yes,88.27,2484.0,3.46,73902.0,0.47,74.53 +21277,China,2020,Hypertension,Metabolic,14.45,2.58,7.11,19-35,Male,214436,84.44,3.83,1.84,Medication,36887.0,No,74.27,1248.0,9.01,24218.0,0.8,61.25 +21281,Japan,2016,COVID-19,Neurological,12.77,2.46,7.59,0-18,Other,291959,74.36,1.3,1.32,Surgery,40424.0,No,51.59,3940.0,0.37,39760.0,0.63,44.32 +21286,Argentina,2021,Parkinson's Disease,Bacterial,16.36,7.03,4.38,19-35,Other,210890,87.91,3.59,3.41,Therapy,16035.0,Yes,53.63,1682.0,8.68,93485.0,0.52,83.19 +21291,USA,2001,Rabies,Cardiovascular,19.23,8.76,4.02,0-18,Other,331249,59.88,4.9,1.56,Vaccination,30826.0,Yes,77.04,2886.0,0.9,94053.0,0.49,68.25 +21293,South Korea,2017,Measles,Bacterial,19.29,11.92,5.79,61+,Female,834224,76.61,1.83,7.82,Surgery,19478.0,Yes,55.78,2886.0,6.92,50710.0,0.55,68.54 +21297,Brazil,2002,Polio,Chronic,19.97,9.39,5.93,36-60,Male,749947,56.95,4.22,7.32,Therapy,44525.0,No,88.97,3060.0,3.48,96384.0,0.59,30.25 +21301,Australia,2018,Asthma,Parasitic,19.55,1.67,4.76,0-18,Male,531425,76.81,2.05,4.5,Surgery,33885.0,No,74.33,4109.0,9.35,95293.0,0.82,72.13 +21304,India,2023,Leprosy,Neurological,13.73,3.42,9.82,0-18,Male,232158,61.95,2.85,1.28,Medication,8990.0,Yes,50.18,2503.0,9.0,2329.0,0.6,52.85 +21305,USA,2013,Cancer,Bacterial,2.28,1.01,1.67,61+,Male,674262,64.77,2.96,9.52,Surgery,10720.0,No,80.46,3768.0,0.15,53464.0,0.89,89.42 +21308,UK,2023,Polio,Genetic,10.01,8.05,3.95,61+,Female,577525,99.87,4.19,5.12,Medication,39103.0,Yes,75.1,4313.0,8.84,88654.0,0.8,27.8 +21319,Italy,2010,Alzheimer's Disease,Infectious,7.96,9.6,9.2,61+,Female,214740,86.47,2.25,5.83,Medication,3336.0,Yes,96.1,4513.0,0.63,1046.0,0.83,24.74 +21320,Indonesia,2017,Influenza,Autoimmune,16.62,11.35,1.92,36-60,Other,989901,98.5,2.2,4.28,Vaccination,11292.0,Yes,65.56,2478.0,7.17,45653.0,0.41,86.79 +21328,China,2023,Zika,Infectious,19.12,14.73,9.52,61+,Female,817079,71.05,4.67,5.33,Therapy,45522.0,Yes,62.44,745.0,8.06,71246.0,0.66,30.79 +21330,Australia,2022,Hypertension,Cardiovascular,7.54,14.48,5.78,61+,Male,563323,79.89,3.12,5.36,Medication,28445.0,Yes,57.16,4687.0,4.02,85838.0,0.75,85.87 +21332,South Korea,2005,Diabetes,Bacterial,1.48,8.78,3.73,36-60,Female,728367,61.04,1.57,9.82,Vaccination,30306.0,No,87.35,4001.0,9.68,77389.0,0.55,89.54 +21334,Mexico,2023,Alzheimer's Disease,Infectious,13.34,2.32,8.14,61+,Male,19511,66.95,3.64,5.63,Vaccination,45437.0,Yes,95.32,2173.0,3.54,54051.0,0.7,76.28 +21344,Italy,2009,Cancer,Viral,17.28,0.13,5.47,0-18,Female,572133,90.18,1.78,2.55,Therapy,17909.0,No,50.52,3543.0,5.64,8044.0,0.7,50.37 +21346,Mexico,2017,Cancer,Respiratory,9.13,2.92,9.75,61+,Female,672176,54.75,4.92,2.33,Surgery,42652.0,Yes,58.53,1027.0,3.3,59196.0,0.51,61.85 +21352,Saudi Arabia,2019,Asthma,Parasitic,12.44,3.6,5.09,61+,Female,275351,55.63,1.04,8.41,Vaccination,46765.0,Yes,73.85,1741.0,1.37,50986.0,0.53,39.88 +21358,Canada,2020,Hypertension,Cardiovascular,17.04,4.76,2.98,19-35,Other,653227,91.39,2.24,4.88,Medication,31156.0,Yes,87.28,3541.0,0.71,95278.0,0.83,22.77 +21363,Germany,2013,Rabies,Viral,17.48,12.86,7.05,0-18,Female,661463,77.99,3.65,9.29,Surgery,14095.0,No,56.31,4051.0,6.13,22560.0,0.71,30.39 +21364,Russia,2021,Parkinson's Disease,Chronic,17.44,12.74,9.96,0-18,Other,934484,80.96,0.58,2.28,Medication,10747.0,Yes,83.59,4022.0,8.13,5989.0,0.89,60.76 +21367,South Africa,2015,Polio,Genetic,17.84,12.24,2.86,0-18,Female,254674,98.3,0.69,6.84,Surgery,1125.0,Yes,54.86,1936.0,4.42,75139.0,0.44,82.35 +21368,China,2011,Ebola,Genetic,12.37,0.42,8.45,36-60,Female,290554,85.33,4.61,5.64,Vaccination,12187.0,No,52.78,3734.0,7.93,72002.0,0.66,63.98 +21369,Germany,2024,Ebola,Parasitic,9.83,3.67,7.62,36-60,Other,400101,60.56,2.75,9.96,Medication,25997.0,Yes,67.45,2982.0,9.75,74418.0,0.43,50.63 +21370,Japan,2002,Alzheimer's Disease,Genetic,10.07,11.45,1.17,0-18,Female,257477,84.01,2.19,4.39,Medication,10775.0,No,50.98,3834.0,0.51,29926.0,0.73,78.39 +21374,Indonesia,2011,Rabies,Autoimmune,17.09,0.34,7.94,19-35,Male,874299,61.49,3.76,6.48,Medication,46174.0,No,72.96,2556.0,2.26,20000.0,0.86,49.19 +21376,China,2015,Rabies,Chronic,6.66,9.96,9.63,0-18,Other,417632,87.46,1.83,7.44,Vaccination,16491.0,Yes,53.6,3706.0,3.76,87509.0,0.62,20.97 +21377,Russia,2013,Dengue,Chronic,5.32,14.98,0.46,19-35,Male,548428,67.97,3.74,3.08,Vaccination,4389.0,No,66.46,1399.0,6.33,27366.0,0.56,21.29 +21401,India,2022,Zika,Metabolic,2.71,1.97,8.7,0-18,Female,35828,85.88,4.82,1.21,Surgery,49644.0,No,95.19,1897.0,2.24,65422.0,0.88,64.37 +21402,Brazil,2001,Polio,Parasitic,11.05,11.39,9.75,61+,Female,274388,89.32,0.68,2.98,Vaccination,15229.0,Yes,96.89,840.0,1.93,90747.0,0.88,85.16 +21405,Japan,2005,Tuberculosis,Parasitic,17.42,4.86,6.55,0-18,Female,699228,82.11,3.99,8.61,Surgery,32261.0,Yes,81.78,2852.0,6.71,53095.0,0.84,77.77 +21411,Mexico,2006,HIV/AIDS,Neurological,15.96,8.54,3.27,61+,Other,300136,64.47,4.84,8.97,Medication,34750.0,No,98.64,660.0,9.82,84771.0,0.89,47.49 +21418,Saudi Arabia,2008,Diabetes,Viral,0.29,0.91,5.34,0-18,Female,449026,80.41,1.9,8.86,Therapy,47276.0,No,98.77,3263.0,6.52,55340.0,0.66,76.85 +21420,Mexico,2012,Hypertension,Metabolic,14.83,3.14,3.09,0-18,Other,923215,97.53,3.32,0.56,Vaccination,42746.0,Yes,70.6,1607.0,8.24,60443.0,0.85,25.75 +21425,Japan,2014,Alzheimer's Disease,Genetic,2.71,6.39,6.71,61+,Male,17898,88.71,1.64,7.57,Surgery,48566.0,Yes,56.48,4894.0,8.63,50385.0,0.42,40.0 +21430,Nigeria,2002,Leprosy,Metabolic,9.4,3.57,4.99,19-35,Other,491601,82.45,0.72,0.88,Surgery,35742.0,Yes,75.57,992.0,0.32,68830.0,0.46,37.26 +21437,Saudi Arabia,2001,Hypertension,Viral,7.56,10.37,5.08,36-60,Male,486564,83.47,1.23,8.31,Medication,17474.0,Yes,74.1,3529.0,2.13,59838.0,0.75,27.93 +21444,China,2000,Polio,Autoimmune,16.76,5.35,7.88,61+,Male,561520,76.43,3.04,3.76,Surgery,6411.0,Yes,56.3,1666.0,0.71,35299.0,0.69,22.07 +21445,Italy,2006,Diabetes,Parasitic,17.49,6.42,1.61,36-60,Other,706559,73.14,2.42,5.06,Therapy,35921.0,No,70.43,3439.0,1.0,15230.0,0.82,31.52 +21452,Germany,2010,COVID-19,Genetic,3.01,5.91,9.68,19-35,Male,986703,93.7,3.57,9.51,Vaccination,15344.0,Yes,96.08,1232.0,7.35,43175.0,0.55,57.71 +21458,South Korea,2001,Cholera,Autoimmune,0.72,13.01,1.53,61+,Male,271198,55.77,4.53,4.62,Surgery,40246.0,No,69.38,2522.0,6.43,64171.0,0.68,44.6 +21459,South Africa,2012,Leprosy,Parasitic,19.28,11.42,6.2,19-35,Male,976340,62.81,3.84,9.36,Medication,45165.0,No,95.85,3874.0,6.66,54452.0,0.42,27.91 +21460,Saudi Arabia,2021,Ebola,Parasitic,8.07,4.03,3.99,0-18,Other,111595,84.96,3.21,3.24,Vaccination,3390.0,No,65.51,1427.0,7.46,87426.0,0.65,51.23 +21461,Japan,2006,Parkinson's Disease,Cardiovascular,0.83,9.48,5.15,36-60,Other,799559,87.12,3.65,8.52,Surgery,25672.0,Yes,96.74,2381.0,9.08,51398.0,0.62,24.7 +21464,Japan,2003,Influenza,Infectious,5.68,1.37,2.96,36-60,Male,178597,89.33,3.16,8.87,Surgery,44347.0,Yes,72.26,1155.0,7.15,37841.0,0.84,59.03 +21476,Australia,2005,Diabetes,Bacterial,4.06,6.5,5.61,36-60,Other,238878,68.38,1.95,2.14,Surgery,18178.0,Yes,90.8,510.0,4.91,7894.0,0.42,44.17 +21477,Italy,2022,HIV/AIDS,Infectious,13.37,2.97,1.21,61+,Male,34594,94.82,2.89,4.91,Medication,13326.0,Yes,59.43,1289.0,4.22,39666.0,0.81,23.55 +21478,UK,2000,Ebola,Parasitic,0.55,0.84,6.96,0-18,Other,371025,98.03,2.09,8.52,Therapy,48974.0,No,78.05,2509.0,4.12,32746.0,0.7,80.3 +21479,Brazil,2001,Cholera,Neurological,16.47,9.36,9.52,19-35,Female,927772,96.14,0.63,5.59,Vaccination,21532.0,No,75.39,3506.0,8.06,22636.0,0.65,42.49 +21481,USA,2011,Hepatitis,Parasitic,14.84,1.27,5.44,0-18,Other,342846,71.69,2.31,1.6,Surgery,35348.0,No,85.91,3492.0,2.42,3866.0,0.7,80.52 +21483,Canada,2019,Cholera,Parasitic,8.92,0.63,5.31,19-35,Female,205006,99.75,3.36,1.93,Medication,6358.0,Yes,94.16,2358.0,9.36,43835.0,0.8,54.86 +21485,Germany,2003,Ebola,Bacterial,19.02,11.26,9.19,0-18,Other,174984,61.98,0.93,7.26,Surgery,13660.0,No,96.12,1898.0,2.87,91873.0,0.8,22.58 +21491,Japan,2001,Ebola,Cardiovascular,7.29,14.79,2.86,61+,Other,258750,69.28,1.33,0.74,Therapy,9852.0,Yes,81.53,2679.0,3.66,46489.0,0.41,26.52 +21502,China,2006,Parkinson's Disease,Chronic,7.19,14.89,0.37,36-60,Male,126723,84.36,2.04,3.26,Therapy,36151.0,Yes,55.32,3046.0,8.62,59703.0,0.84,42.46 +21506,Mexico,2015,Cholera,Metabolic,15.48,1.38,1.26,19-35,Female,907044,76.74,3.5,8.43,Therapy,12859.0,No,71.78,1957.0,7.77,23363.0,0.59,81.94 +21508,France,2023,HIV/AIDS,Infectious,17.19,10.37,8.72,19-35,Male,780146,78.85,1.38,5.82,Therapy,42453.0,No,55.18,220.0,1.22,46123.0,0.82,84.43 +21510,Nigeria,2001,Zika,Metabolic,19.77,14.49,4.92,0-18,Female,429726,77.14,2.29,2.05,Medication,19132.0,Yes,71.13,1236.0,7.91,22229.0,0.76,82.04 +21531,Japan,2015,Cholera,Genetic,13.56,0.37,7.69,19-35,Male,5325,79.68,4.9,5.01,Vaccination,30578.0,No,93.9,3378.0,8.67,55878.0,0.69,47.31 +21545,Argentina,2020,Rabies,Respiratory,18.85,10.93,7.4,61+,Female,223370,80.56,2.96,2.61,Medication,42270.0,Yes,79.76,2872.0,7.16,19063.0,0.4,88.31 +21547,Saudi Arabia,2008,Cancer,Genetic,11.51,4.27,5.63,19-35,Other,411436,56.88,3.21,3.51,Vaccination,28181.0,No,83.76,4307.0,4.94,69022.0,0.45,85.74 +21557,South Korea,2024,COVID-19,Autoimmune,6.1,1.48,5.34,36-60,Female,922757,70.59,3.35,0.85,Vaccination,27505.0,No,55.88,3601.0,7.11,21815.0,0.81,78.66 +21559,Canada,2018,Diabetes,Metabolic,7.48,7.22,1.92,61+,Other,15416,51.81,4.29,5.14,Vaccination,29435.0,Yes,88.11,2490.0,1.98,36817.0,0.62,60.15 +21574,USA,2002,Parkinson's Disease,Genetic,19.79,5.32,3.27,19-35,Male,526088,73.88,0.8,9.64,Vaccination,34719.0,Yes,59.91,2855.0,7.02,50229.0,0.48,76.45 +21582,Italy,2013,Malaria,Genetic,16.12,8.14,0.74,19-35,Other,337627,70.07,3.19,8.64,Therapy,13770.0,Yes,84.37,801.0,0.5,55356.0,0.47,61.7 +21586,Italy,2002,Diabetes,Infectious,8.82,5.98,5.52,0-18,Male,597069,72.3,1.41,9.26,Medication,18560.0,Yes,60.17,2002.0,0.8,76068.0,0.46,59.39 +21587,Turkey,2008,Ebola,Cardiovascular,11.94,13.4,8.62,61+,Other,132549,79.89,2.26,7.04,Vaccination,15620.0,Yes,76.79,4234.0,9.31,68759.0,0.54,31.18 +21598,South Africa,2024,Hepatitis,Neurological,5.52,13.1,9.4,61+,Male,596862,86.83,4.65,2.28,Medication,27464.0,No,86.67,2.0,8.59,50261.0,0.45,64.47 +21600,Australia,2012,Hypertension,Bacterial,14.49,13.31,5.93,36-60,Female,185148,77.44,1.09,6.66,Medication,35565.0,Yes,86.88,989.0,3.4,87426.0,0.82,89.04 +21609,USA,2004,Hepatitis,Genetic,7.98,13.86,2.49,0-18,Other,631829,83.19,1.1,8.26,Vaccination,48486.0,Yes,84.93,2007.0,3.24,72554.0,0.63,29.3 +21614,Germany,2021,HIV/AIDS,Bacterial,6.01,5.08,6.04,61+,Other,449318,75.39,3.94,1.17,Surgery,47738.0,Yes,79.44,3773.0,3.52,72923.0,0.7,81.93 +21615,Brazil,2020,Polio,Bacterial,4.76,1.9,6.32,61+,Female,159303,61.78,0.64,1.9,Surgery,26115.0,Yes,85.36,4058.0,7.86,93973.0,0.64,22.89 +21617,Russia,2007,Hypertension,Genetic,6.93,5.13,6.15,0-18,Other,866011,56.1,3.83,8.91,Medication,20918.0,No,97.95,3411.0,0.64,8831.0,0.48,30.3 +21626,Turkey,2015,Cholera,Respiratory,16.25,2.56,2.87,0-18,Male,853227,92.76,4.04,4.54,Medication,15184.0,No,82.61,4307.0,7.87,47780.0,0.72,59.74 +21630,Brazil,2006,Parkinson's Disease,Infectious,10.57,7.14,4.94,61+,Female,279467,66.22,1.69,1.0,Medication,15843.0,Yes,73.24,4618.0,4.03,81943.0,0.86,60.56 +21632,Turkey,2021,Rabies,Neurological,16.15,14.62,5.87,36-60,Other,170023,62.39,3.75,6.47,Surgery,27588.0,No,97.42,408.0,1.74,45104.0,0.62,54.86 +21636,Australia,2015,Influenza,Autoimmune,12.72,9.67,1.93,0-18,Male,421758,87.81,3.7,8.82,Surgery,24189.0,No,59.86,3406.0,6.65,96422.0,0.88,32.07 +21638,Argentina,2008,Influenza,Bacterial,10.06,8.29,9.26,19-35,Male,210427,89.22,0.61,6.55,Vaccination,4512.0,Yes,82.66,2917.0,8.64,2655.0,0.45,29.61 +21639,Turkey,2018,Hypertension,Metabolic,14.78,4.17,1.21,36-60,Other,641467,62.49,4.42,7.79,Medication,15382.0,Yes,94.0,819.0,3.9,25319.0,0.46,33.4 +21640,Australia,2008,Measles,Respiratory,7.32,13.15,2.32,36-60,Other,900688,70.76,2.96,6.29,Therapy,24158.0,Yes,52.44,3792.0,6.9,44296.0,0.79,63.6 +21644,UK,2011,Asthma,Cardiovascular,11.5,9.2,9.58,61+,Other,384020,64.31,1.18,8.79,Surgery,49700.0,Yes,56.12,584.0,0.68,97710.0,0.85,71.01 +21648,Nigeria,2007,Asthma,Viral,0.87,13.39,2.45,0-18,Male,227485,86.12,1.9,0.89,Vaccination,43655.0,Yes,93.25,1617.0,8.98,61827.0,0.56,57.03 +21649,Indonesia,2021,Cancer,Metabolic,6.75,4.14,1.01,0-18,Male,79419,51.44,3.91,5.03,Therapy,47829.0,No,81.91,1705.0,0.1,58950.0,0.8,79.06 +21650,Argentina,2001,COVID-19,Cardiovascular,19.15,2.11,6.1,19-35,Other,553155,88.24,2.56,2.4,Surgery,18612.0,Yes,97.58,133.0,6.98,39713.0,0.6,63.78 +21651,Turkey,2011,Influenza,Neurological,9.65,1.03,7.87,19-35,Other,917158,50.55,1.12,1.62,Therapy,16218.0,Yes,91.98,3163.0,4.66,88456.0,0.83,38.75 +21663,India,2007,Diabetes,Genetic,17.74,6.15,2.21,36-60,Male,513962,67.02,4.24,4.19,Therapy,14062.0,No,76.45,3960.0,6.93,47042.0,0.53,82.32 +21676,Russia,2006,Influenza,Metabolic,3.37,5.15,8.83,61+,Female,359684,86.98,0.89,9.07,Surgery,1734.0,No,56.18,3362.0,6.58,79598.0,0.53,35.57 +21680,Saudi Arabia,2010,Asthma,Neurological,16.11,7.75,1.92,36-60,Male,929407,76.07,1.35,6.11,Surgery,42782.0,No,64.89,2558.0,8.28,41736.0,0.59,80.78 +21698,USA,2006,Polio,Respiratory,15.55,6.82,3.16,19-35,Male,997806,94.74,2.74,7.28,Vaccination,47878.0,No,95.47,3288.0,1.82,23404.0,0.45,30.55 +21701,Germany,2013,Polio,Chronic,10.19,9.37,8.36,61+,Male,984917,53.09,4.55,5.68,Vaccination,5798.0,Yes,74.43,2150.0,3.78,23585.0,0.61,25.34 +21702,Saudi Arabia,2005,Rabies,Infectious,2.88,1.11,6.1,61+,Other,234317,83.2,1.88,1.76,Vaccination,49945.0,Yes,76.56,1849.0,7.23,36261.0,0.44,29.68 +21703,Germany,2019,Measles,Parasitic,6.68,9.71,3.62,36-60,Other,33045,60.99,1.87,5.45,Surgery,42090.0,Yes,71.63,4941.0,1.61,47157.0,0.78,37.93 +21706,Argentina,2014,Hypertension,Viral,2.67,4.35,6.21,0-18,Male,2321,94.9,1.63,5.13,Therapy,25744.0,Yes,85.3,3499.0,0.32,15298.0,0.53,74.82 +21708,South Korea,2010,Influenza,Genetic,9.33,9.98,1.61,61+,Other,855704,89.55,3.78,3.31,Medication,39009.0,No,58.18,1848.0,5.85,61399.0,0.85,82.4 +21709,Saudi Arabia,2021,Polio,Bacterial,4.65,8.92,7.53,61+,Other,225031,88.26,4.81,1.88,Therapy,31828.0,Yes,59.03,1900.0,6.81,58054.0,0.79,65.63 +21710,Russia,2024,Leprosy,Chronic,4.43,0.55,9.38,61+,Male,622400,65.12,1.31,3.07,Therapy,13110.0,No,84.26,1641.0,8.42,6922.0,0.58,49.78 +21715,South Korea,2009,HIV/AIDS,Neurological,15.91,13.55,0.92,0-18,Female,631739,52.25,2.56,2.95,Therapy,29149.0,No,92.18,1876.0,6.02,62390.0,0.75,82.39 +21721,Germany,2004,Cholera,Autoimmune,15.09,4.6,5.25,19-35,Other,776347,62.11,1.82,4.14,Vaccination,4703.0,No,51.69,439.0,2.22,91514.0,0.75,40.2 +21727,Indonesia,2003,COVID-19,Respiratory,13.02,3.37,6.24,0-18,Other,967900,60.16,0.91,3.2,Therapy,39563.0,Yes,76.37,2762.0,4.53,80290.0,0.6,48.47 +21728,UK,2016,Asthma,Genetic,3.84,2.75,9.98,19-35,Female,695523,50.12,4.64,5.41,Medication,38754.0,No,69.83,1162.0,7.86,88760.0,0.64,69.94 +21730,Canada,2006,Polio,Chronic,6.75,13.33,4.12,19-35,Male,847643,55.81,2.77,9.94,Therapy,4700.0,Yes,79.71,3784.0,5.92,72228.0,0.89,57.6 +21740,South Korea,2014,Ebola,Viral,10.2,2.27,1.5,19-35,Other,116831,83.5,4.77,1.11,Medication,35532.0,Yes,82.81,91.0,9.57,7304.0,0.79,45.24 +21741,Brazil,2005,Zika,Viral,15.17,14.68,6.28,19-35,Female,566876,89.64,2.27,2.95,Medication,22450.0,No,80.3,2049.0,6.75,42867.0,0.43,78.34 +21747,China,2012,Malaria,Cardiovascular,12.79,5.29,5.65,0-18,Female,882437,66.9,0.69,9.16,Therapy,24953.0,No,63.1,4634.0,6.98,25284.0,0.73,26.01 +21749,China,2022,Hepatitis,Neurological,3.16,3.29,4.34,0-18,Other,987018,57.02,1.38,7.97,Medication,46769.0,Yes,89.22,4991.0,8.82,16597.0,0.61,77.84 +21750,South Africa,2014,Influenza,Autoimmune,6.51,4.06,3.89,19-35,Male,919744,88.88,2.28,0.54,Vaccination,41481.0,No,95.54,3418.0,1.19,14746.0,0.69,71.6 +21757,Canada,2022,Measles,Parasitic,5.58,10.35,8.5,36-60,Male,852742,78.67,0.82,3.87,Vaccination,29418.0,No,77.36,3515.0,4.67,69368.0,0.75,56.41 +21762,Canada,2006,Influenza,Respiratory,11.58,11.52,9.91,61+,Female,948262,60.82,2.6,7.82,Vaccination,7638.0,Yes,89.31,3341.0,1.01,48405.0,0.72,61.89 +21789,South Africa,2009,Ebola,Chronic,5.18,10.54,2.56,19-35,Other,281990,95.42,2.28,2.33,Surgery,9177.0,No,89.62,1061.0,3.58,34222.0,0.83,53.38 +21793,Italy,2021,Dengue,Chronic,6.91,0.85,7.37,61+,Other,137219,84.96,3.5,7.68,Medication,26910.0,No,74.52,4091.0,4.15,97895.0,0.52,29.79 +21800,Mexico,2022,Cholera,Cardiovascular,16.4,14.31,8.56,0-18,Other,199172,85.2,2.95,6.12,Surgery,4938.0,No,68.72,3524.0,4.54,22883.0,0.87,24.22 +21821,France,2001,Measles,Parasitic,16.2,3.37,8.03,0-18,Other,639334,60.35,2.35,5.79,Therapy,45988.0,No,61.11,2344.0,4.98,49517.0,0.64,83.65 +21834,Brazil,2003,Hepatitis,Neurological,9.24,1.59,9.57,61+,Female,497947,80.24,0.96,8.61,Vaccination,23801.0,Yes,59.88,2967.0,0.35,9439.0,0.58,50.71 +21835,Indonesia,2001,HIV/AIDS,Parasitic,9.15,5.3,7.36,61+,Female,585428,79.88,3.88,4.73,Surgery,35879.0,Yes,72.95,4387.0,2.72,86776.0,0.84,71.38 +21845,India,2010,Measles,Neurological,1.91,1.0,2.23,36-60,Other,538232,84.44,3.4,6.89,Therapy,30221.0,No,85.64,4506.0,3.43,57246.0,0.44,74.04 +21846,Mexico,2008,HIV/AIDS,Parasitic,7.44,7.42,9.89,36-60,Female,988540,94.86,2.04,9.78,Medication,39693.0,Yes,66.05,3760.0,8.41,52444.0,0.42,62.3 +21850,Canada,2007,COVID-19,Viral,7.22,5.28,3.98,61+,Other,456746,92.92,4.34,8.12,Vaccination,36928.0,No,95.56,3683.0,6.49,26518.0,0.64,27.59 +21858,Russia,2021,Malaria,Metabolic,9.78,12.47,0.77,19-35,Female,938871,72.35,2.61,4.58,Medication,34069.0,Yes,90.58,3223.0,4.5,1124.0,0.75,70.01 +21875,Germany,2010,Hepatitis,Infectious,19.37,1.4,6.37,0-18,Female,552053,93.58,3.12,1.41,Vaccination,41019.0,Yes,69.66,3999.0,4.56,53089.0,0.49,41.69 +21879,France,2001,Cancer,Metabolic,10.2,3.83,7.33,36-60,Other,350873,86.11,2.01,5.26,Vaccination,1970.0,No,81.59,4233.0,9.89,32353.0,0.84,73.53 +21881,Japan,2005,Diabetes,Chronic,9.51,9.31,1.68,61+,Other,402474,84.87,1.74,2.62,Surgery,3212.0,Yes,90.63,1180.0,0.06,67902.0,0.85,71.51 +21886,Canada,2013,Tuberculosis,Cardiovascular,4.69,10.26,4.25,0-18,Other,612238,57.73,3.15,2.18,Surgery,18903.0,Yes,54.05,3409.0,0.87,79371.0,0.61,32.98 +21891,Italy,2008,Hypertension,Infectious,8.27,3.13,9.5,36-60,Female,913694,95.12,4.62,9.83,Medication,26413.0,Yes,93.5,1156.0,2.18,93681.0,0.53,49.54 +21896,Russia,2012,Cancer,Respiratory,14.6,13.41,3.18,0-18,Male,680700,87.12,0.61,7.39,Medication,11364.0,Yes,58.92,3091.0,2.92,92114.0,0.55,60.16 +21900,Indonesia,2007,Hepatitis,Chronic,16.83,7.3,5.1,36-60,Other,561493,82.14,3.14,6.92,Surgery,29066.0,No,87.78,1097.0,2.4,93987.0,0.6,64.51 +21912,Brazil,2020,Parkinson's Disease,Autoimmune,5.55,3.98,2.36,36-60,Other,283393,54.18,4.37,5.55,Medication,29525.0,Yes,80.26,1023.0,8.04,44336.0,0.45,37.09 +21917,Australia,2003,Cholera,Parasitic,2.62,2.79,1.7,36-60,Other,687783,57.21,4.37,7.81,Surgery,46374.0,Yes,95.34,1868.0,2.51,13265.0,0.7,80.26 +21919,South Africa,2016,HIV/AIDS,Infectious,13.54,5.9,0.96,36-60,Other,37499,98.46,1.45,4.74,Therapy,24446.0,Yes,58.63,183.0,7.24,24982.0,0.43,62.74 +21921,China,2005,Zika,Respiratory,16.83,13.86,2.37,0-18,Female,776926,58.34,3.57,6.77,Medication,31840.0,No,75.84,4713.0,0.3,13172.0,0.69,65.61 +21925,Germany,2016,Cancer,Metabolic,10.49,12.94,6.32,19-35,Male,133370,68.44,3.43,9.65,Therapy,2418.0,Yes,69.47,1532.0,4.51,46836.0,0.55,58.26 +21931,Turkey,2016,Hepatitis,Neurological,14.54,14.32,8.55,19-35,Female,996020,58.26,1.5,8.56,Surgery,9212.0,No,86.36,3323.0,8.58,30247.0,0.53,39.82 +21933,Mexico,2021,Zika,Chronic,8.66,2.83,8.37,0-18,Other,248240,83.9,2.1,5.34,Medication,46697.0,No,64.35,2830.0,5.4,93966.0,0.82,27.99 +21937,China,2005,Diabetes,Neurological,8.02,10.56,7.75,61+,Male,772797,81.6,3.27,3.99,Medication,19511.0,Yes,61.96,613.0,5.15,84046.0,0.63,47.45 +21940,USA,2004,Cholera,Autoimmune,11.94,9.58,7.5,36-60,Other,503614,52.03,2.7,5.26,Medication,3363.0,No,85.58,1254.0,0.33,8898.0,0.71,55.32 +21945,Australia,2018,Polio,Autoimmune,8.74,7.84,1.79,19-35,Male,509013,60.35,4.01,3.9,Vaccination,21652.0,No,83.96,3912.0,6.66,11426.0,0.41,32.34 +21946,Japan,2010,Dengue,Autoimmune,0.29,14.32,0.47,19-35,Other,433834,69.5,2.87,4.83,Medication,46671.0,No,73.3,1661.0,4.04,9622.0,0.71,62.38 +21949,Italy,2024,Malaria,Bacterial,11.77,4.54,6.78,19-35,Male,397358,64.83,0.86,3.14,Therapy,7483.0,Yes,70.39,2664.0,5.93,55320.0,0.47,50.85 +21950,Italy,2022,Cancer,Autoimmune,18.95,11.7,5.65,19-35,Male,266750,74.78,4.45,3.48,Surgery,30102.0,Yes,69.47,2445.0,0.36,49189.0,0.88,38.08 +21959,Indonesia,2001,Dengue,Metabolic,4.2,3.27,2.09,19-35,Female,153299,50.92,3.8,7.32,Vaccination,27284.0,No,80.68,1793.0,3.08,63485.0,0.59,76.69 +21977,Argentina,2011,Hypertension,Parasitic,16.21,10.36,5.32,19-35,Other,70852,68.62,1.35,9.01,Medication,19344.0,Yes,75.02,521.0,4.47,32554.0,0.47,58.24 +21978,Canada,2006,Tuberculosis,Respiratory,18.98,14.84,7.32,36-60,Female,639180,59.34,3.37,9.21,Surgery,21580.0,No,82.09,4956.0,4.06,10112.0,0.72,52.2 +21980,Mexico,2003,Dengue,Cardiovascular,8.36,10.05,0.55,36-60,Female,349996,66.19,3.77,7.37,Vaccination,4981.0,No,74.17,1861.0,0.54,862.0,0.42,30.64 +21983,Argentina,2014,COVID-19,Infectious,16.79,6.58,8.01,36-60,Male,346398,91.14,4.79,4.01,Vaccination,12063.0,No,67.62,2284.0,2.52,72090.0,0.66,74.48 +21985,USA,2023,Cholera,Metabolic,13.31,9.44,0.51,0-18,Male,740600,86.87,3.62,7.95,Vaccination,10860.0,Yes,67.5,4226.0,0.86,35999.0,0.42,75.53 +21992,Germany,2004,Cholera,Metabolic,16.45,3.73,2.9,36-60,Male,942858,93.1,3.11,3.64,Vaccination,26999.0,Yes,87.63,1213.0,5.48,72347.0,0.64,56.05 +22002,South Korea,2017,Zika,Genetic,4.32,11.39,2.41,36-60,Other,146771,60.64,2.58,7.13,Vaccination,5159.0,Yes,59.38,3767.0,6.81,83483.0,0.45,61.07 +22006,Saudi Arabia,2018,Zika,Autoimmune,7.45,10.86,2.67,36-60,Female,166713,65.64,0.8,9.45,Therapy,18060.0,Yes,93.84,2843.0,9.36,41760.0,0.79,70.66 +22010,Australia,2019,Tuberculosis,Parasitic,13.29,7.64,0.82,61+,Male,425260,55.95,0.79,4.59,Medication,23773.0,Yes,55.97,2632.0,0.11,41244.0,0.44,47.48 +22011,Italy,2009,Zika,Cardiovascular,1.34,13.41,0.67,61+,Other,469033,96.91,3.27,2.49,Vaccination,34932.0,Yes,75.03,3987.0,3.17,80498.0,0.49,67.78 +22018,Japan,2015,Leprosy,Autoimmune,12.98,10.97,7.27,0-18,Female,639625,73.32,4.4,7.7,Surgery,34580.0,Yes,92.11,2726.0,6.42,63662.0,0.67,53.24 +22031,Turkey,2002,Zika,Neurological,16.64,6.53,3.23,61+,Male,49711,72.51,4.81,8.57,Therapy,35151.0,No,98.5,2935.0,8.66,60256.0,0.66,31.88 +22032,UK,2008,Measles,Respiratory,7.32,3.51,3.3,61+,Male,99192,69.97,2.73,3.26,Surgery,5342.0,Yes,98.42,1189.0,4.5,41522.0,0.53,37.64 +22033,Turkey,2002,Leprosy,Cardiovascular,1.56,13.09,1.77,61+,Other,146356,98.03,2.86,1.52,Therapy,17870.0,Yes,66.99,601.0,0.36,47402.0,0.44,57.14 +22036,France,2019,Influenza,Genetic,9.81,7.24,4.05,0-18,Female,154808,98.82,3.18,4.39,Surgery,11088.0,Yes,61.5,1025.0,1.44,90443.0,0.62,56.04 +22037,China,2024,Rabies,Parasitic,9.36,11.41,1.89,36-60,Female,798768,81.16,0.7,3.79,Medication,44290.0,No,64.46,1819.0,0.61,25389.0,0.76,54.56 +22053,Argentina,2018,Influenza,Metabolic,12.72,10.55,6.2,36-60,Other,266668,96.95,1.68,4.08,Therapy,37929.0,No,73.16,3729.0,6.11,16073.0,0.53,73.61 +22059,Germany,2014,Hepatitis,Chronic,10.41,0.89,0.88,0-18,Female,450728,53.94,4.69,5.55,Therapy,20702.0,Yes,77.85,1781.0,6.16,41850.0,0.54,85.78 +22061,France,2024,Measles,Infectious,15.62,12.31,2.62,61+,Other,546754,83.18,1.64,0.89,Vaccination,47669.0,No,75.26,397.0,5.02,66629.0,0.54,31.53 +22062,South Africa,2009,Cholera,Neurological,16.68,13.79,5.88,0-18,Other,580992,97.91,2.96,5.81,Therapy,27111.0,No,56.79,3664.0,4.17,99302.0,0.81,77.0 +22065,Italy,2006,HIV/AIDS,Chronic,16.37,1.81,9.55,0-18,Male,487790,73.93,1.97,4.15,Vaccination,29936.0,Yes,98.29,4096.0,9.1,50908.0,0.69,75.98 +22067,China,2010,Leprosy,Parasitic,11.87,4.46,7.42,0-18,Other,215001,95.12,0.82,8.54,Vaccination,25868.0,No,77.11,3792.0,8.85,59529.0,0.4,66.22 +22069,Japan,2013,Alzheimer's Disease,Genetic,3.28,13.9,9.31,36-60,Other,119593,64.51,4.27,1.38,Vaccination,39321.0,No,57.3,4859.0,9.62,93917.0,0.49,71.88 +22074,USA,2011,Rabies,Autoimmune,4.61,2.86,8.19,61+,Male,985135,73.74,0.9,8.39,Surgery,16763.0,Yes,66.09,2419.0,6.76,14574.0,0.47,64.48 +22075,Mexico,2005,Measles,Cardiovascular,17.7,14.11,2.51,36-60,Male,973627,79.73,2.58,7.81,Vaccination,49914.0,Yes,69.02,4861.0,6.74,60170.0,0.79,64.13 +22080,Argentina,2016,Zika,Parasitic,14.42,9.92,3.38,61+,Female,629638,82.33,0.88,8.85,Vaccination,10703.0,Yes,98.92,3124.0,1.31,68700.0,0.88,58.01 +22081,Canada,2012,Cholera,Neurological,18.4,6.51,7.54,61+,Male,319722,97.53,2.66,9.22,Vaccination,16140.0,Yes,87.23,972.0,3.11,40497.0,0.54,82.47 +22082,UK,2002,Dengue,Cardiovascular,2.09,10.04,4.81,0-18,Other,937075,54.3,1.44,2.28,Vaccination,46220.0,Yes,72.22,4059.0,4.05,17558.0,0.79,63.86 +22087,Italy,2024,Tuberculosis,Genetic,1.02,2.57,6.92,61+,Male,152515,59.58,4.64,2.23,Surgery,21734.0,No,73.41,947.0,1.27,98871.0,0.54,34.45 +22088,Australia,2008,Ebola,Infectious,1.55,1.42,2.74,0-18,Male,496527,54.52,2.73,9.85,Medication,26160.0,Yes,55.22,4510.0,3.03,5765.0,0.56,58.42 +22098,Australia,2005,Hepatitis,Respiratory,2.88,1.42,6.95,36-60,Other,247962,94.69,3.93,4.14,Surgery,17813.0,No,71.88,1674.0,9.06,17601.0,0.54,50.02 +22119,China,2023,COVID-19,Viral,19.14,1.48,4.15,61+,Other,368974,51.95,4.01,5.87,Vaccination,34680.0,Yes,52.0,1723.0,4.65,88463.0,0.64,37.05 +22121,UK,2014,Rabies,Chronic,3.87,10.11,2.19,61+,Female,645075,71.93,3.32,6.13,Vaccination,27705.0,Yes,62.49,4897.0,0.61,10694.0,0.85,36.02 +22126,Germany,2015,Polio,Respiratory,1.14,6.56,6.98,36-60,Female,978991,68.74,2.64,3.65,Vaccination,6585.0,No,64.37,3660.0,0.89,41930.0,0.71,69.32 +22127,Indonesia,2000,Measles,Genetic,13.53,14.84,8.58,61+,Other,446194,88.88,2.67,8.69,Therapy,27290.0,Yes,75.75,3510.0,3.96,23616.0,0.64,37.87 +22130,India,2020,Tuberculosis,Respiratory,14.71,13.0,5.81,0-18,Other,209792,75.99,4.48,3.55,Medication,3534.0,Yes,83.32,3537.0,4.94,53766.0,0.47,70.12 +22135,South Africa,2020,Polio,Parasitic,3.2,7.07,6.56,19-35,Other,770259,63.32,1.95,6.69,Therapy,27440.0,No,66.64,3718.0,2.57,5957.0,0.47,21.69 +22141,Mexico,2009,Parkinson's Disease,Viral,16.97,2.5,4.12,0-18,Male,35539,62.74,0.69,4.51,Medication,2164.0,Yes,92.95,1429.0,5.72,52488.0,0.48,81.0 +22143,USA,2015,Cancer,Infectious,3.91,6.38,1.21,0-18,Male,733941,53.77,3.9,1.34,Medication,11703.0,No,95.95,3127.0,5.51,96419.0,0.79,77.99 +22151,Italy,2005,Leprosy,Viral,3.47,7.85,1.26,36-60,Male,875158,96.75,4.8,3.03,Surgery,48030.0,Yes,87.66,43.0,1.8,23714.0,0.48,56.59 +22152,Russia,2024,Dengue,Parasitic,0.74,9.09,7.24,19-35,Female,196236,82.53,3.67,4.25,Therapy,31748.0,Yes,59.84,1778.0,2.89,42904.0,0.62,33.73 +22162,Saudi Arabia,2013,Measles,Respiratory,4.14,11.86,5.67,61+,Male,977581,74.78,2.45,4.4,Vaccination,11904.0,Yes,63.2,4066.0,1.82,62648.0,0.6,39.74 +22164,Australia,2005,Alzheimer's Disease,Respiratory,14.36,5.72,6.62,0-18,Male,714496,97.13,3.97,5.48,Vaccination,20197.0,No,87.46,4440.0,5.44,23207.0,0.84,54.03 +22168,Saudi Arabia,2006,Influenza,Parasitic,16.54,11.89,1.1,0-18,Female,960844,56.98,2.98,3.41,Surgery,11675.0,Yes,86.75,4531.0,3.31,67984.0,0.48,37.41 +22175,Russia,2018,Parkinson's Disease,Bacterial,6.42,12.44,2.13,61+,Female,527650,76.26,0.89,9.14,Medication,3720.0,No,82.07,3852.0,0.08,24465.0,0.58,43.52 +22176,Saudi Arabia,2013,Cholera,Neurological,5.27,7.45,9.59,61+,Other,202954,92.78,3.54,9.16,Therapy,28351.0,Yes,87.91,4560.0,9.14,44394.0,0.79,68.41 +22193,Japan,2004,Zika,Cardiovascular,1.58,8.22,8.92,36-60,Female,486642,93.42,4.6,8.64,Surgery,2716.0,No,78.58,1035.0,8.47,2069.0,0.62,56.56 +22194,Italy,2010,Alzheimer's Disease,Chronic,12.39,13.26,8.9,36-60,Male,559452,76.77,1.15,8.03,Vaccination,14396.0,No,93.45,3698.0,3.08,22571.0,0.82,65.76 +22196,Russia,2006,Polio,Autoimmune,14.04,8.46,8.83,19-35,Other,832789,78.91,4.85,5.6,Therapy,30357.0,No,88.34,4471.0,3.45,17833.0,0.43,33.93 +22198,South Korea,2008,Polio,Chronic,16.73,12.22,9.46,61+,Male,385855,51.6,3.45,1.01,Surgery,22674.0,Yes,53.71,1178.0,9.75,6969.0,0.43,73.38 +22199,South Africa,2020,Cancer,Autoimmune,19.86,11.05,3.25,36-60,Other,603571,83.0,3.98,1.55,Medication,26312.0,No,80.64,3631.0,9.25,77978.0,0.89,61.3 +22200,China,2005,Tuberculosis,Autoimmune,6.81,13.08,7.65,61+,Female,399801,76.02,2.07,9.32,Therapy,24337.0,No,93.83,4095.0,3.38,75409.0,0.4,28.03 +22204,South Africa,2021,Asthma,Infectious,1.44,10.86,6.67,0-18,Other,930635,65.35,3.35,5.97,Surgery,20736.0,No,60.97,2839.0,5.57,60169.0,0.5,53.49 +22207,Nigeria,2021,Ebola,Autoimmune,3.78,13.61,1.3,19-35,Other,351493,75.37,3.77,4.38,Therapy,8400.0,Yes,76.3,838.0,9.87,63318.0,0.42,61.84 +22220,Italy,2023,Influenza,Genetic,5.78,3.87,0.96,36-60,Female,458397,76.67,2.77,4.2,Surgery,34777.0,No,54.83,3922.0,2.13,63073.0,0.69,48.13 +22223,Russia,2023,Parkinson's Disease,Genetic,11.12,4.37,4.43,19-35,Male,681877,85.58,2.3,3.31,Medication,38102.0,Yes,76.62,4978.0,1.48,53556.0,0.62,47.57 +22225,Indonesia,2002,Malaria,Autoimmune,14.79,14.41,2.89,19-35,Other,437110,83.32,2.45,6.95,Medication,18862.0,Yes,88.52,4179.0,0.52,92202.0,0.54,42.25 +22231,Indonesia,2009,Alzheimer's Disease,Bacterial,15.94,10.79,6.11,19-35,Female,788251,98.94,1.06,7.19,Therapy,46707.0,Yes,98.15,1762.0,4.78,64268.0,0.77,61.11 +22247,Russia,2020,Cancer,Respiratory,11.32,0.88,1.44,0-18,Female,106395,86.48,3.42,9.51,Vaccination,6298.0,Yes,67.53,2364.0,8.21,35824.0,0.61,25.15 +22248,USA,2016,COVID-19,Metabolic,10.56,4.75,2.54,0-18,Other,353660,61.1,0.77,4.52,Surgery,14618.0,No,63.52,410.0,9.73,36613.0,0.74,88.99 +22249,South Korea,2019,Alzheimer's Disease,Chronic,5.84,0.86,3.21,36-60,Male,298950,72.95,2.43,6.77,Therapy,12524.0,No,59.48,1594.0,5.76,77963.0,0.64,51.5 +22252,South Korea,2012,Diabetes,Cardiovascular,14.39,6.12,0.6,19-35,Male,458276,59.6,2.12,4.88,Therapy,26114.0,No,51.9,1568.0,0.11,25732.0,0.5,29.78 +22256,Canada,2016,Leprosy,Bacterial,13.53,5.63,8.07,0-18,Other,774861,59.87,3.08,3.34,Surgery,974.0,Yes,81.75,2624.0,8.52,32813.0,0.85,74.47 +22257,Germany,2016,Diabetes,Parasitic,11.16,12.81,2.09,19-35,Male,425965,91.98,2.2,1.82,Medication,39549.0,No,71.0,3305.0,7.23,64832.0,0.65,52.79 +22262,Australia,2016,Hypertension,Parasitic,11.45,10.03,0.74,0-18,Female,52628,82.14,1.26,9.67,Medication,45217.0,Yes,90.43,3033.0,3.56,74916.0,0.86,86.38 +22263,Italy,2016,Polio,Respiratory,7.01,5.79,9.31,0-18,Other,40292,53.85,1.35,4.49,Therapy,36363.0,No,58.01,834.0,8.2,21705.0,0.65,83.49 +22266,Indonesia,2024,Measles,Viral,3.99,11.76,0.94,36-60,Female,416188,95.07,1.37,7.56,Medication,45893.0,Yes,73.08,3862.0,4.94,60997.0,0.46,39.74 +22269,South Korea,2014,Hepatitis,Autoimmune,2.95,14.07,4.66,19-35,Female,171224,96.12,2.29,3.6,Vaccination,34302.0,No,93.91,1006.0,9.47,13218.0,0.77,70.4 +22271,Argentina,2013,Hepatitis,Bacterial,11.82,9.1,7.0,19-35,Other,698075,85.54,3.23,7.84,Surgery,10951.0,No,80.03,1920.0,7.56,33435.0,0.85,81.87 +22272,Australia,2012,Malaria,Metabolic,7.2,2.32,6.81,61+,Female,270584,51.27,3.58,7.51,Surgery,21306.0,No,76.39,1094.0,0.15,51707.0,0.68,46.7 +22273,Mexico,2011,Leprosy,Genetic,16.26,6.82,4.21,19-35,Other,52262,55.67,4.19,9.86,Surgery,42061.0,Yes,94.64,326.0,3.73,43521.0,0.75,73.25 +22274,USA,2024,Diabetes,Parasitic,16.46,9.66,3.69,61+,Male,476950,92.78,1.97,7.64,Therapy,39712.0,Yes,57.72,2254.0,9.94,57993.0,0.4,20.43 +22275,Indonesia,2016,Ebola,Parasitic,12.14,2.8,4.79,0-18,Male,687032,54.62,4.99,4.25,Vaccination,40275.0,Yes,82.51,2055.0,9.58,54161.0,0.7,73.82 +22284,Argentina,2014,Hypertension,Genetic,7.7,9.7,5.74,36-60,Female,944446,95.75,4.12,2.87,Surgery,48870.0,Yes,52.56,3584.0,7.44,23867.0,0.77,38.94 +22286,Australia,2019,Parkinson's Disease,Respiratory,18.07,6.6,3.08,36-60,Female,715203,89.25,4.42,2.62,Therapy,41290.0,No,72.93,590.0,6.08,86006.0,0.43,20.51 +22294,Japan,2015,Cholera,Autoimmune,10.91,10.3,4.99,36-60,Female,44112,53.7,0.7,6.98,Vaccination,25096.0,Yes,53.05,940.0,4.58,72784.0,0.81,60.67 +22297,India,2023,Malaria,Bacterial,14.95,3.36,5.39,61+,Male,234191,58.56,2.46,1.36,Surgery,23332.0,Yes,96.04,635.0,9.6,11028.0,0.48,30.88 +22313,Nigeria,2020,Cancer,Respiratory,10.23,7.75,3.03,61+,Other,632366,58.03,2.5,3.27,Vaccination,46336.0,Yes,85.72,3995.0,4.95,67448.0,0.81,79.05 +22316,Canada,2012,Malaria,Neurological,1.96,12.31,5.29,0-18,Male,927335,91.5,3.66,3.17,Therapy,34769.0,Yes,50.4,2534.0,4.02,33068.0,0.9,74.26 +22320,India,2006,Malaria,Genetic,18.29,2.28,2.28,0-18,Female,976622,71.59,0.76,9.25,Therapy,13668.0,No,74.24,239.0,4.54,16318.0,0.65,76.45 +22327,Nigeria,2015,Dengue,Infectious,15.63,13.73,8.88,36-60,Male,453095,98.34,1.45,1.9,Surgery,24405.0,Yes,62.88,3503.0,2.86,60002.0,0.76,66.57 +22330,France,2024,Ebola,Metabolic,17.38,6.98,0.85,0-18,Other,842912,98.19,2.93,1.2,Surgery,29626.0,No,58.64,1801.0,8.73,78604.0,0.6,24.22 +22333,Germany,2004,Diabetes,Parasitic,7.68,8.54,4.35,36-60,Male,696811,65.01,4.66,1.56,Therapy,32067.0,Yes,67.15,3549.0,6.84,13098.0,0.66,44.97 +22342,Turkey,2006,Rabies,Infectious,19.07,5.34,9.89,0-18,Other,116210,98.32,0.98,5.14,Medication,48010.0,Yes,79.24,2692.0,8.33,65539.0,0.53,34.86 +22343,Nigeria,2006,Alzheimer's Disease,Chronic,19.55,6.74,7.18,19-35,Other,674819,86.98,4.02,9.09,Surgery,1649.0,Yes,57.77,1212.0,1.74,41085.0,0.74,64.46 +22356,Japan,2021,Zika,Autoimmune,11.34,9.76,3.1,36-60,Male,497795,69.91,4.05,4.09,Vaccination,22788.0,Yes,96.91,1965.0,1.68,68793.0,0.67,76.37 +22360,Saudi Arabia,2018,Alzheimer's Disease,Bacterial,11.57,11.7,6.5,0-18,Male,912569,90.84,2.25,8.74,Medication,46035.0,No,79.82,365.0,8.03,2774.0,0.54,47.3 +22361,Turkey,2006,HIV/AIDS,Parasitic,12.97,5.99,1.04,19-35,Female,361577,52.22,3.28,6.44,Vaccination,18465.0,Yes,93.44,1195.0,3.71,73957.0,0.62,20.49 +22363,Brazil,2000,Rabies,Infectious,12.12,10.75,2.74,19-35,Male,472527,72.71,4.23,9.54,Medication,44412.0,No,74.53,2118.0,7.58,17864.0,0.82,60.95 +22380,South Africa,2019,Asthma,Cardiovascular,0.34,1.65,5.13,61+,Male,52612,81.14,3.76,3.97,Therapy,15817.0,No,88.18,3247.0,0.1,55982.0,0.64,40.81 +22382,China,2010,Leprosy,Metabolic,10.45,3.55,4.95,36-60,Male,506282,90.25,2.1,3.63,Therapy,20996.0,No,93.98,184.0,2.24,66108.0,0.4,27.57 +22385,Indonesia,2006,Cancer,Parasitic,13.48,5.53,3.31,19-35,Female,146818,73.54,4.17,1.52,Therapy,46005.0,No,86.74,1389.0,3.82,83942.0,0.83,34.04 +22394,Italy,2015,Malaria,Infectious,14.97,12.61,6.22,36-60,Female,63095,60.91,1.69,7.66,Medication,8487.0,No,51.89,4610.0,6.62,74938.0,0.53,22.14 +22405,Saudi Arabia,2008,Hepatitis,Neurological,12.32,6.23,8.78,0-18,Female,317204,79.08,4.41,7.83,Surgery,5325.0,No,97.55,4520.0,2.49,16820.0,0.59,26.91 +22406,Brazil,2018,HIV/AIDS,Autoimmune,17.1,3.45,1.7,19-35,Female,595269,53.6,0.67,4.53,Medication,3001.0,No,63.84,3172.0,2.38,27856.0,0.53,52.1 +22409,Italy,2014,Measles,Chronic,10.99,1.1,4.54,36-60,Male,63272,78.98,4.5,9.47,Surgery,37325.0,No,78.68,700.0,4.42,90704.0,0.81,66.19 +22411,Germany,2015,Parkinson's Disease,Bacterial,11.53,5.01,3.88,36-60,Other,627849,91.55,2.68,3.03,Therapy,30458.0,No,52.65,740.0,0.23,18479.0,0.42,57.22 +22413,USA,2020,Polio,Genetic,15.43,8.46,0.52,0-18,Other,142195,87.04,4.21,4.63,Surgery,49436.0,No,73.12,1844.0,8.43,5657.0,0.77,55.9 +22416,Turkey,2017,Zika,Genetic,14.27,10.66,7.32,36-60,Male,224329,88.29,4.38,1.06,Surgery,29801.0,Yes,80.79,1979.0,4.91,59135.0,0.62,21.39 +22421,Australia,2020,Cancer,Metabolic,6.65,0.67,1.46,19-35,Other,877640,71.19,2.18,7.76,Vaccination,16845.0,Yes,67.93,4989.0,7.92,58660.0,0.71,62.34 +22422,Russia,2022,Hypertension,Infectious,9.26,5.09,9.14,0-18,Male,873341,57.36,2.06,6.15,Surgery,3725.0,Yes,73.36,3037.0,5.46,46904.0,0.84,74.17 +22424,Turkey,2002,HIV/AIDS,Metabolic,16.09,9.88,4.27,0-18,Male,560303,56.61,1.26,7.33,Surgery,34018.0,Yes,64.3,4979.0,1.89,10590.0,0.61,27.07 +22428,Argentina,2012,Tuberculosis,Viral,4.56,14.48,0.14,19-35,Other,366502,76.47,4.66,3.82,Vaccination,36028.0,Yes,91.41,4498.0,4.21,2750.0,0.9,82.66 +22438,Indonesia,2023,Leprosy,Parasitic,12.26,9.42,7.85,61+,Other,212582,68.01,3.56,5.43,Vaccination,32875.0,Yes,57.07,4731.0,9.76,62655.0,0.57,60.4 +22440,China,2020,Zika,Viral,7.34,10.95,4.09,0-18,Male,947222,72.42,0.91,4.75,Vaccination,31952.0,Yes,65.66,80.0,4.32,11394.0,0.7,51.23 +22460,Mexico,2011,Zika,Cardiovascular,15.88,5.93,3.78,19-35,Female,54950,52.16,4.84,3.69,Vaccination,35541.0,No,92.01,4549.0,9.66,44164.0,0.64,29.4 +22461,Saudi Arabia,2017,Hypertension,Bacterial,11.79,7.26,4.78,61+,Male,399217,70.35,1.68,4.1,Medication,21739.0,No,98.68,353.0,2.04,46194.0,0.83,32.14 +22463,Italy,2020,HIV/AIDS,Parasitic,9.83,13.96,3.12,0-18,Female,869833,73.65,0.91,2.77,Medication,45782.0,Yes,81.33,3374.0,2.92,99410.0,0.69,66.75 +22470,France,2018,Leprosy,Chronic,11.36,14.26,6.93,19-35,Male,349077,76.76,2.27,6.69,Surgery,33631.0,No,95.42,4212.0,1.21,75701.0,0.51,42.16 +22474,Germany,2007,Dengue,Bacterial,12.93,13.02,2.67,61+,Female,677072,86.25,0.62,8.27,Therapy,48301.0,Yes,87.0,2549.0,9.59,33365.0,0.59,68.08 +22475,Indonesia,2000,Ebola,Chronic,7.92,4.47,8.01,0-18,Other,384513,53.56,3.67,0.99,Surgery,48948.0,No,63.32,4214.0,2.7,48568.0,0.73,85.03 +22476,India,2016,Influenza,Chronic,13.3,13.84,8.86,0-18,Other,558217,85.47,4.19,6.2,Surgery,24227.0,No,82.4,194.0,3.88,73779.0,0.62,65.34 +22477,South Africa,2012,COVID-19,Viral,4.32,10.43,8.45,19-35,Other,744855,89.24,3.13,9.52,Vaccination,4127.0,Yes,89.85,4379.0,7.37,42067.0,0.83,21.97 +22479,Argentina,2001,Cholera,Bacterial,6.95,5.33,2.17,61+,Male,951238,60.58,1.44,9.87,Medication,49764.0,Yes,58.78,4793.0,1.46,41391.0,0.73,88.08 +22482,UK,2024,HIV/AIDS,Infectious,15.56,6.56,7.46,36-60,Male,358078,51.68,3.58,0.82,Medication,25711.0,No,58.8,3193.0,8.06,80141.0,0.6,69.46 +22490,Canada,2020,Tuberculosis,Bacterial,14.82,12.64,1.83,61+,Female,591582,59.16,4.53,5.01,Surgery,35280.0,No,86.55,3337.0,5.49,84211.0,0.79,26.05 +22492,Japan,2024,Influenza,Neurological,0.67,7.08,0.29,19-35,Male,631526,61.07,3.47,5.49,Surgery,42263.0,Yes,79.31,1962.0,8.07,14594.0,0.75,63.49 +22499,Turkey,2001,Influenza,Autoimmune,16.93,5.86,5.74,61+,Other,665594,62.66,1.87,0.69,Surgery,49891.0,Yes,59.0,3523.0,7.49,42011.0,0.65,60.41 +22507,Turkey,2020,Malaria,Genetic,18.85,11.91,9.68,36-60,Female,408778,62.53,1.46,5.02,Vaccination,48312.0,No,86.79,3301.0,2.4,22617.0,0.6,79.21 +22521,UK,2017,Rabies,Neurological,2.12,8.75,8.27,36-60,Female,795055,91.84,3.67,1.07,Surgery,37534.0,No,53.91,2578.0,4.23,70377.0,0.54,73.73 +22533,Indonesia,2022,Cancer,Cardiovascular,10.74,5.45,6.58,19-35,Female,149107,55.37,0.64,8.75,Medication,20548.0,No,91.18,710.0,2.34,73584.0,0.72,66.31 +22534,Turkey,2007,COVID-19,Cardiovascular,17.02,4.84,6.26,61+,Male,697095,57.13,4.73,9.86,Vaccination,8913.0,Yes,61.98,1025.0,5.53,38305.0,0.84,61.43 +22543,Italy,2011,Rabies,Bacterial,8.78,10.19,7.71,19-35,Female,476391,54.19,0.63,6.77,Surgery,16421.0,Yes,79.95,472.0,7.18,11751.0,0.69,70.41 +22545,UK,2005,Cholera,Respiratory,3.17,6.13,0.23,61+,Male,782458,92.46,3.03,3.33,Surgery,43750.0,No,66.34,2091.0,0.14,99799.0,0.73,39.9 +22548,South Africa,2002,COVID-19,Parasitic,11.34,10.11,8.33,0-18,Other,553331,94.67,1.35,9.02,Surgery,3415.0,Yes,52.07,15.0,3.6,21232.0,0.55,75.39 +22552,Argentina,2016,Cholera,Autoimmune,1.41,9.96,8.58,36-60,Male,324022,73.29,3.95,5.93,Medication,40201.0,No,50.46,880.0,1.6,92072.0,0.61,58.5 +22555,Brazil,2017,Hypertension,Bacterial,18.34,9.42,2.37,0-18,Other,224720,77.04,2.69,3.43,Therapy,38798.0,No,53.93,2893.0,8.06,38993.0,0.84,32.65 +22556,Turkey,2012,Parkinson's Disease,Viral,16.55,2.5,4.6,0-18,Male,492046,64.18,1.87,3.53,Medication,9232.0,No,66.89,2456.0,4.66,71976.0,0.87,87.14 +22566,France,2005,Cholera,Parasitic,6.0,7.32,8.28,61+,Male,845754,76.9,0.85,7.46,Surgery,13002.0,Yes,55.75,4262.0,0.09,58959.0,0.72,46.01 +22567,France,2002,Leprosy,Parasitic,19.14,4.25,0.93,36-60,Female,61899,66.5,3.94,2.22,Surgery,49931.0,No,78.02,2307.0,3.51,24514.0,0.57,28.17 +22572,Australia,2004,Leprosy,Neurological,6.17,11.53,8.76,19-35,Other,918204,89.18,3.94,9.44,Vaccination,48053.0,Yes,78.92,3377.0,3.4,72501.0,0.77,83.26 +22573,USA,2016,Alzheimer's Disease,Metabolic,16.74,1.13,2.97,36-60,Other,505540,78.66,2.33,2.45,Therapy,38850.0,Yes,65.47,2125.0,6.68,83693.0,0.81,88.72 +22592,USA,2018,Leprosy,Infectious,6.41,12.09,0.34,36-60,Female,629016,93.29,4.22,6.84,Therapy,11983.0,Yes,63.1,4375.0,6.78,6248.0,0.52,69.9 +22597,Nigeria,2003,Hypertension,Cardiovascular,12.69,4.7,8.2,61+,Female,366278,75.76,1.3,7.44,Vaccination,25718.0,Yes,59.01,4014.0,1.72,32262.0,0.6,68.63 +22600,Canada,2019,Parkinson's Disease,Viral,3.7,4.37,2.44,61+,Other,501406,90.19,1.4,1.37,Medication,42863.0,Yes,98.84,2809.0,3.71,89178.0,0.53,86.01 +22602,Germany,2018,COVID-19,Respiratory,8.39,11.14,4.01,36-60,Male,270843,62.2,4.07,9.56,Therapy,22389.0,Yes,88.85,740.0,2.18,85376.0,0.43,84.69 +22616,France,2001,Measles,Viral,0.2,0.33,7.98,61+,Female,331463,86.9,1.09,1.95,Surgery,37954.0,No,66.02,3895.0,6.95,57917.0,0.86,73.12 +22619,Germany,2010,Hepatitis,Metabolic,13.46,12.97,4.29,36-60,Female,876403,73.93,2.96,9.8,Surgery,31199.0,No,90.06,1019.0,7.66,90064.0,0.89,89.56 +22625,Mexico,2010,Rabies,Genetic,15.88,12.02,9.64,19-35,Other,105123,73.33,3.07,0.76,Therapy,33361.0,No,92.65,201.0,0.15,7665.0,0.79,26.61 +22636,India,2008,Alzheimer's Disease,Infectious,19.79,6.06,1.48,19-35,Female,426704,51.23,4.0,1.0,Medication,28175.0,No,68.13,3678.0,5.6,24167.0,0.78,87.92 +22637,Indonesia,2007,Ebola,Autoimmune,4.62,9.94,4.78,19-35,Other,162630,68.24,0.75,9.72,Surgery,14569.0,No,81.56,2622.0,7.68,84243.0,0.83,82.32 +22639,Mexico,2002,Measles,Autoimmune,0.81,14.81,1.53,61+,Other,612544,96.01,2.72,4.76,Vaccination,38926.0,No,57.9,1279.0,0.93,17089.0,0.65,75.06 +22646,Australia,2006,Hypertension,Respiratory,17.46,9.94,3.58,61+,Female,556034,85.21,3.63,0.54,Therapy,42337.0,No,68.6,2680.0,6.01,29791.0,0.69,42.38 +22647,Italy,2008,Measles,Infectious,8.27,6.09,0.35,61+,Female,421266,60.5,2.59,8.29,Medication,31092.0,Yes,90.12,2979.0,5.61,81440.0,0.75,80.93 +22656,China,2018,Parkinson's Disease,Chronic,14.46,8.36,5.63,36-60,Female,924499,73.66,4.67,6.48,Vaccination,41212.0,No,79.04,4868.0,2.71,27808.0,0.74,58.85 +22658,Mexico,2017,Diabetes,Neurological,18.1,2.4,6.76,19-35,Male,702550,81.3,2.7,1.87,Medication,46133.0,No,72.85,3159.0,0.2,99084.0,0.87,40.94 +22659,Brazil,2013,Zika,Metabolic,14.78,13.1,4.56,19-35,Female,715366,70.89,1.97,6.51,Therapy,2305.0,Yes,68.45,369.0,0.02,75159.0,0.48,24.43 +22664,Turkey,2015,Diabetes,Viral,14.65,3.77,3.02,0-18,Male,434839,77.98,1.26,6.36,Surgery,31244.0,No,60.2,1119.0,4.04,20836.0,0.75,84.74 +22670,Germany,2010,Cancer,Parasitic,10.7,12.26,5.16,61+,Male,633154,60.32,4.95,6.65,Surgery,48128.0,No,71.82,494.0,0.38,70294.0,0.49,51.21 +22673,France,2001,Hepatitis,Bacterial,3.08,9.35,5.53,19-35,Male,371499,99.42,3.24,2.2,Vaccination,19876.0,No,67.9,3566.0,6.68,51046.0,0.45,59.51 +22676,Russia,2023,Hypertension,Cardiovascular,6.03,5.42,7.19,61+,Other,694402,84.21,2.39,2.97,Therapy,20836.0,No,73.93,3064.0,7.29,31451.0,0.83,82.16 +22679,India,2010,Hepatitis,Neurological,14.6,4.58,1.39,19-35,Male,418692,91.16,3.2,5.39,Therapy,33326.0,Yes,81.1,3923.0,1.05,97753.0,0.57,70.32 +22684,USA,2010,Influenza,Autoimmune,11.72,14.87,1.31,19-35,Female,9109,68.7,2.58,6.13,Surgery,6412.0,No,80.55,2764.0,8.71,57181.0,0.52,72.39 +22693,Germany,2016,Dengue,Respiratory,12.05,11.77,9.36,61+,Other,900001,76.44,3.6,5.62,Medication,2791.0,Yes,95.05,1401.0,4.93,43932.0,0.52,23.36 +22705,Russia,2015,Asthma,Metabolic,10.83,11.79,7.11,61+,Other,201129,51.42,2.61,3.27,Therapy,9644.0,Yes,80.59,951.0,8.1,33614.0,0.57,63.7 +22710,Russia,2005,Parkinson's Disease,Parasitic,10.2,2.46,1.23,36-60,Other,976860,56.42,4.41,6.01,Surgery,37892.0,No,65.79,2935.0,3.64,26776.0,0.7,37.51 +22728,Indonesia,2024,Cholera,Bacterial,0.61,12.73,1.11,19-35,Other,339189,59.04,1.12,6.42,Medication,47029.0,Yes,70.06,2755.0,7.93,85545.0,0.74,68.39 +22748,USA,2004,Cancer,Viral,18.51,12.2,5.7,0-18,Female,586520,84.44,0.5,1.09,Vaccination,19032.0,No,79.9,3981.0,7.43,42749.0,0.54,66.18 +22754,Argentina,2021,Zika,Autoimmune,9.76,10.8,5.3,61+,Female,81821,53.03,2.48,5.7,Therapy,17048.0,Yes,86.34,3180.0,2.05,41870.0,0.59,32.02 +22759,South Africa,2005,Measles,Autoimmune,7.78,14.78,0.27,0-18,Male,540173,69.87,2.93,4.5,Medication,28046.0,No,76.48,3659.0,2.5,7414.0,0.46,28.96 +22774,Italy,2002,Malaria,Viral,7.76,10.53,2.63,61+,Male,296178,69.25,3.81,1.21,Therapy,45366.0,No,79.32,2463.0,6.75,99223.0,0.54,62.75 +22780,Germany,2012,Rabies,Parasitic,9.47,10.26,6.9,0-18,Female,55986,98.66,4.91,5.34,Therapy,12500.0,No,73.88,735.0,6.77,32617.0,0.86,66.23 +22782,Indonesia,2018,HIV/AIDS,Chronic,3.16,10.6,3.8,61+,Female,545420,61.96,0.54,5.89,Therapy,46816.0,Yes,82.56,2028.0,3.23,47757.0,0.66,77.96 +22783,Saudi Arabia,2005,Asthma,Infectious,10.95,0.94,3.73,61+,Male,409139,73.35,1.15,2.51,Medication,43137.0,No,70.28,269.0,2.28,24165.0,0.48,69.49 +22792,Germany,2017,Zika,Neurological,7.49,4.61,9.25,19-35,Other,705391,71.5,3.39,8.25,Surgery,26068.0,No,86.15,4159.0,5.46,78124.0,0.71,49.87 +22795,Indonesia,2009,Influenza,Metabolic,6.67,10.8,3.74,36-60,Female,894069,82.61,3.21,3.35,Surgery,16548.0,Yes,66.53,4770.0,5.87,14138.0,0.86,70.56 +22812,Canada,2003,Asthma,Viral,8.02,14.36,3.51,61+,Other,368290,83.63,1.77,8.2,Vaccination,14622.0,Yes,64.48,1423.0,3.37,95487.0,0.77,71.14 +22815,USA,2006,COVID-19,Cardiovascular,18.12,12.96,5.74,36-60,Other,151091,88.95,0.99,4.8,Therapy,30257.0,No,56.57,3816.0,4.79,6128.0,0.57,72.68 +22830,Germany,2020,Cancer,Metabolic,3.5,0.92,2.45,19-35,Other,369141,69.34,3.22,2.73,Surgery,44784.0,Yes,82.77,4509.0,0.4,70712.0,0.6,70.56 +22831,South Africa,2005,Hypertension,Respiratory,3.63,2.37,5.83,36-60,Male,931188,93.22,1.73,7.04,Vaccination,34243.0,Yes,72.33,1003.0,3.0,27243.0,0.89,51.55 +22845,Canada,2000,Leprosy,Viral,19.73,10.02,5.91,61+,Other,985439,57.75,0.63,9.19,Therapy,40284.0,Yes,61.79,4029.0,9.6,36209.0,0.49,47.99 +22853,Turkey,2000,Diabetes,Viral,18.99,10.91,3.17,61+,Female,793767,54.0,0.96,5.31,Medication,34917.0,Yes,95.74,3608.0,2.76,41449.0,0.48,67.56 +22856,Brazil,2022,Leprosy,Cardiovascular,4.96,14.14,6.99,0-18,Male,348428,90.63,1.78,1.38,Vaccination,11550.0,No,95.7,3293.0,10.0,48026.0,0.57,49.46 +22863,India,2012,Hepatitis,Respiratory,19.64,10.24,8.9,0-18,Other,296676,73.78,3.72,6.66,Therapy,4024.0,Yes,81.0,4106.0,7.2,85185.0,0.53,39.49 +22870,South Korea,2008,Rabies,Autoimmune,8.91,11.14,9.27,19-35,Female,138983,91.73,1.64,5.54,Medication,27814.0,No,61.88,1695.0,3.1,13995.0,0.6,56.77 +22871,Nigeria,2020,Cholera,Cardiovascular,11.83,5.8,3.54,36-60,Other,63288,56.49,1.35,1.11,Vaccination,38431.0,No,85.61,1333.0,4.66,11861.0,0.77,27.97 +22877,Russia,2004,Influenza,Infectious,7.62,11.42,5.3,0-18,Male,198042,56.62,4.41,5.87,Medication,46331.0,Yes,73.66,981.0,8.21,49505.0,0.55,64.76 +22880,China,2009,Cancer,Parasitic,4.98,11.4,2.24,19-35,Female,984735,75.51,1.68,3.74,Surgery,34004.0,No,61.93,4083.0,8.49,65025.0,0.73,27.33 +22885,Indonesia,2008,Influenza,Genetic,11.61,5.32,2.2,0-18,Female,35979,70.74,3.11,1.35,Surgery,29920.0,No,56.92,322.0,5.09,59635.0,0.67,36.65 +22887,Nigeria,2022,Tuberculosis,Viral,2.6,7.19,0.29,36-60,Female,114446,76.49,2.8,7.26,Medication,16296.0,Yes,80.94,3424.0,1.87,98368.0,0.81,24.8 +22890,Japan,2004,Measles,Genetic,9.8,9.02,6.32,19-35,Other,127344,75.05,0.62,4.94,Therapy,38731.0,Yes,93.62,3819.0,4.39,59700.0,0.85,29.51 +22891,South Africa,2012,Rabies,Viral,9.66,11.0,2.23,19-35,Male,650579,62.09,4.83,7.52,Medication,8276.0,No,63.33,1203.0,9.4,46813.0,0.82,86.11 +22898,Brazil,2022,Rabies,Bacterial,3.14,2.95,6.02,19-35,Other,782015,79.82,4.39,5.26,Vaccination,41704.0,Yes,56.19,755.0,7.05,20815.0,0.5,54.42 +22904,Australia,2006,Measles,Infectious,7.58,8.4,4.27,19-35,Other,861007,89.06,2.22,8.23,Medication,47923.0,Yes,75.49,3869.0,4.45,66096.0,0.8,50.8 +22909,Japan,2004,Influenza,Neurological,13.66,3.0,1.26,61+,Other,264693,77.33,2.31,7.06,Therapy,8955.0,No,98.44,2103.0,5.58,94724.0,0.8,46.59 +22910,South Africa,2022,Hepatitis,Neurological,14.59,14.69,8.08,0-18,Female,113721,95.34,0.82,2.67,Medication,24330.0,No,65.52,3765.0,7.59,15395.0,0.44,72.07 +22920,Canada,2010,Leprosy,Viral,7.82,8.33,8.81,0-18,Female,416113,58.3,3.09,9.5,Therapy,36289.0,No,89.17,4008.0,8.3,90608.0,0.55,69.03 +22922,Indonesia,2009,Cholera,Chronic,15.51,2.09,0.83,61+,Other,380095,62.37,3.28,6.92,Vaccination,17113.0,No,75.9,2764.0,5.98,88023.0,0.59,70.21 +22929,UK,2018,Ebola,Metabolic,19.73,11.37,9.91,0-18,Female,924227,58.59,4.14,3.41,Therapy,31767.0,Yes,54.15,465.0,0.08,84296.0,0.52,64.07 +22930,Canada,2021,COVID-19,Viral,10.91,12.38,2.02,0-18,Female,304009,88.73,0.66,8.84,Medication,20881.0,Yes,79.71,78.0,7.49,69704.0,0.79,70.02 +22932,UK,2011,Influenza,Viral,3.29,12.35,6.87,19-35,Other,744182,62.15,3.11,9.61,Surgery,9414.0,Yes,75.05,3838.0,4.55,17255.0,0.58,83.31 +22933,Russia,2008,Rabies,Chronic,0.93,5.39,7.06,36-60,Male,923782,55.76,1.41,1.59,Surgery,6470.0,Yes,81.59,2133.0,9.78,5674.0,0.46,55.3 +22936,Brazil,2014,Alzheimer's Disease,Metabolic,3.86,4.86,5.12,19-35,Female,102864,57.56,3.21,4.79,Therapy,25984.0,No,85.56,1034.0,0.6,89702.0,0.8,87.11 +22940,Japan,2021,Polio,Genetic,3.2,4.57,8.27,0-18,Male,475236,99.33,2.76,5.84,Medication,29829.0,Yes,97.13,660.0,9.95,54448.0,0.72,21.54 +22942,USA,2004,Cholera,Genetic,5.66,3.29,5.03,0-18,Other,575431,93.94,1.52,9.79,Therapy,34797.0,No,52.56,3525.0,1.31,4181.0,0.62,27.4 +22943,South Africa,2004,Hypertension,Viral,14.19,12.47,1.78,61+,Male,666405,97.06,1.76,5.29,Vaccination,30068.0,No,56.5,1587.0,4.05,61859.0,0.49,46.07 +22962,Japan,2015,Zika,Cardiovascular,19.15,5.69,5.97,36-60,Other,76813,51.14,1.69,1.78,Medication,30616.0,Yes,76.78,180.0,4.3,77657.0,0.51,82.42 +22970,Argentina,2001,Diabetes,Parasitic,9.48,12.23,4.22,36-60,Male,271024,93.81,0.54,4.63,Medication,27086.0,No,93.08,2586.0,9.07,66834.0,0.75,58.16 +22977,France,2022,Cholera,Cardiovascular,19.63,12.24,9.12,0-18,Female,750618,89.41,3.66,9.98,Surgery,36282.0,Yes,57.73,2465.0,5.58,29385.0,0.85,46.79 +22978,Argentina,2004,Malaria,Metabolic,1.25,13.87,7.83,36-60,Other,497963,89.15,2.11,1.3,Medication,2359.0,Yes,76.17,2568.0,2.68,42690.0,0.73,66.14 +22979,South Korea,2017,Tuberculosis,Parasitic,9.37,8.58,2.12,36-60,Other,347349,90.21,0.66,0.6,Therapy,20809.0,No,55.29,4265.0,8.79,74671.0,0.83,32.18 +22987,India,2020,Malaria,Metabolic,18.93,14.71,6.57,36-60,Female,471382,68.0,2.84,4.51,Medication,18767.0,Yes,80.48,4008.0,4.12,69821.0,0.77,85.62 +22992,India,2001,Hepatitis,Cardiovascular,13.39,2.08,4.17,19-35,Male,12291,83.13,2.13,4.81,Surgery,48709.0,No,62.88,4988.0,2.88,53889.0,0.64,28.41 +22993,Brazil,2003,Diabetes,Chronic,7.01,1.06,3.88,36-60,Other,548041,86.32,1.81,7.69,Surgery,3048.0,Yes,57.4,2166.0,5.86,19780.0,0.74,72.58 +23018,Brazil,2003,Ebola,Genetic,8.6,5.61,2.41,19-35,Female,48729,82.58,3.35,5.61,Medication,19400.0,No,89.42,4103.0,8.97,66622.0,0.62,26.23 +23025,China,2014,Malaria,Neurological,2.02,5.1,6.94,19-35,Male,271264,65.98,2.95,5.83,Vaccination,4873.0,No,53.52,441.0,7.6,91780.0,0.7,54.35 +23039,France,2001,Asthma,Chronic,5.82,2.15,5.44,61+,Other,125226,87.57,4.63,3.81,Medication,26241.0,No,92.44,3947.0,7.46,85357.0,0.81,49.64 +23047,Germany,2009,Hepatitis,Chronic,14.0,6.62,8.07,36-60,Female,94744,96.58,4.41,2.58,Medication,31918.0,No,71.17,4387.0,8.16,61809.0,0.73,50.33 +23050,France,2008,COVID-19,Genetic,16.23,2.92,4.18,0-18,Male,765049,59.43,2.13,3.03,Surgery,12355.0,Yes,58.09,415.0,0.42,84681.0,0.72,59.41 +23051,Japan,2001,Cholera,Infectious,12.89,1.15,1.38,0-18,Male,86725,89.05,2.99,7.1,Vaccination,44277.0,Yes,95.89,4689.0,8.62,11118.0,0.46,42.73 +23053,Mexico,2016,Dengue,Neurological,18.85,14.29,3.94,0-18,Female,380216,55.3,0.89,8.84,Vaccination,49431.0,Yes,71.9,4846.0,9.6,69757.0,0.9,52.3 +23057,Canada,2014,Rabies,Metabolic,8.77,10.54,5.99,0-18,Female,35259,58.15,4.4,7.06,Therapy,40861.0,No,80.39,955.0,8.26,57482.0,0.78,47.7 +23059,Russia,2001,Polio,Autoimmune,6.11,1.74,5.79,0-18,Male,922541,88.9,4.1,7.3,Medication,2479.0,Yes,83.32,4618.0,3.8,95113.0,0.41,80.74 +23064,UK,2021,Measles,Bacterial,7.89,10.23,3.09,0-18,Other,583436,86.18,3.97,2.22,Vaccination,49240.0,Yes,83.98,3544.0,6.57,92037.0,0.72,53.93 +23066,Russia,2011,Alzheimer's Disease,Autoimmune,1.53,13.03,4.98,61+,Male,851034,92.08,1.81,5.16,Therapy,9047.0,No,92.75,811.0,0.36,95568.0,0.68,40.32 +23068,Russia,2003,Zika,Chronic,9.36,5.47,3.17,19-35,Male,590206,63.1,3.71,1.11,Therapy,12071.0,Yes,63.92,891.0,3.18,78198.0,0.62,85.34 +23074,France,2010,Diabetes,Metabolic,3.45,11.68,0.56,36-60,Female,122739,87.55,4.56,8.77,Therapy,5082.0,Yes,61.35,4410.0,5.14,38631.0,0.43,29.33 +23075,Brazil,2017,Asthma,Neurological,16.14,0.86,1.99,0-18,Other,460207,50.76,2.93,8.42,Vaccination,26127.0,No,70.96,128.0,4.24,68481.0,0.71,48.64 +23080,Argentina,2024,Asthma,Autoimmune,8.3,0.84,6.28,19-35,Male,907151,86.34,0.84,1.15,Surgery,45466.0,Yes,55.34,1332.0,3.95,63269.0,0.86,75.15 +23083,India,2014,Ebola,Metabolic,14.89,13.81,5.59,61+,Male,994623,99.21,2.31,8.71,Medication,9530.0,Yes,79.87,3900.0,8.4,35429.0,0.5,38.34 +23086,Argentina,2024,Diabetes,Infectious,12.15,1.96,6.97,19-35,Male,249843,78.74,3.24,7.56,Vaccination,27063.0,Yes,64.22,2713.0,8.17,80823.0,0.71,83.21 +23099,Canada,2020,COVID-19,Infectious,0.11,12.16,8.65,61+,Male,978170,69.13,1.49,7.66,Medication,10637.0,Yes,78.04,3062.0,6.31,72858.0,0.63,32.24 +23101,China,2024,Tuberculosis,Viral,8.27,8.79,7.95,36-60,Other,249966,72.66,1.67,2.65,Surgery,21149.0,No,64.1,1655.0,6.94,45816.0,0.73,30.41 +23105,Mexico,2003,Cholera,Respiratory,19.57,1.12,6.13,61+,Other,668412,56.0,2.64,8.16,Therapy,7536.0,Yes,95.13,4783.0,3.65,49218.0,0.5,84.88 +23108,Germany,2024,Cancer,Autoimmune,4.72,0.1,8.67,0-18,Other,480325,87.49,3.05,8.87,Medication,6959.0,Yes,93.59,4633.0,6.75,42120.0,0.6,88.91 +23111,Turkey,2002,Asthma,Respiratory,12.22,12.28,7.29,36-60,Female,660687,80.02,3.93,5.75,Medication,2945.0,No,96.68,4637.0,2.75,52479.0,0.61,33.63 +23115,South Korea,2001,Alzheimer's Disease,Genetic,11.67,1.86,0.33,36-60,Male,4843,87.04,4.77,9.04,Surgery,16842.0,Yes,67.79,3583.0,8.38,29381.0,0.75,21.3 +23124,South Korea,2009,Influenza,Autoimmune,8.21,6.2,6.65,0-18,Other,54695,59.1,2.32,3.86,Therapy,4744.0,Yes,50.27,2498.0,9.72,81061.0,0.56,84.29 +23129,USA,2019,Hypertension,Bacterial,16.58,13.97,9.7,36-60,Male,109619,63.49,4.88,9.58,Vaccination,28867.0,No,56.09,4419.0,9.71,33644.0,0.7,59.23 +23130,France,2011,Cancer,Genetic,11.04,14.37,8.15,0-18,Female,850135,76.61,4.43,4.97,Vaccination,36105.0,No,91.7,1133.0,8.81,35323.0,0.68,69.95 +23137,Canada,2001,Zika,Parasitic,11.64,1.62,3.66,61+,Other,778408,84.28,1.29,6.17,Therapy,43023.0,Yes,66.53,1288.0,8.2,33175.0,0.83,78.77 +23139,Italy,2014,Polio,Respiratory,14.79,1.1,3.08,61+,Female,949572,89.8,4.07,2.81,Therapy,31280.0,No,93.03,4633.0,3.88,72197.0,0.49,30.95 +23144,India,2016,Influenza,Chronic,5.56,11.81,0.37,0-18,Female,424943,66.28,1.14,8.28,Vaccination,25344.0,No,84.87,2049.0,4.93,71599.0,0.45,50.22 +23146,India,2004,COVID-19,Chronic,18.21,4.18,3.97,0-18,Male,12295,63.25,3.08,3.78,Medication,38156.0,Yes,76.4,2294.0,2.74,70403.0,0.64,34.75 +23147,France,2022,Asthma,Autoimmune,3.98,2.12,4.98,36-60,Male,187589,85.97,4.29,9.68,Vaccination,3055.0,No,86.76,2552.0,0.0,9357.0,0.61,57.0 +23153,Brazil,2022,Rabies,Genetic,8.33,8.51,8.48,61+,Female,330707,71.82,4.92,5.48,Therapy,19662.0,Yes,66.04,4794.0,6.79,26978.0,0.49,61.57 +23163,Russia,2021,Diabetes,Metabolic,18.3,0.31,9.07,0-18,Male,329505,79.49,2.61,9.44,Vaccination,5807.0,No,88.86,825.0,7.08,524.0,0.44,32.43 +23167,France,2010,Zika,Chronic,3.64,3.62,3.01,61+,Male,384713,75.24,3.19,5.89,Vaccination,11131.0,No,76.19,524.0,5.8,45027.0,0.52,46.48 +23169,UK,2002,Alzheimer's Disease,Parasitic,16.26,1.16,9.72,19-35,Male,182255,82.01,1.36,3.65,Vaccination,8924.0,No,86.72,313.0,0.75,38394.0,0.86,81.19 +23171,France,2001,Diabetes,Metabolic,10.6,11.8,2.88,0-18,Male,461993,95.2,3.96,8.98,Medication,49194.0,No,80.19,646.0,6.26,29004.0,0.8,20.41 +23178,Italy,2018,Cholera,Bacterial,9.87,6.73,2.57,0-18,Male,654857,76.75,1.4,0.57,Surgery,49431.0,No,82.44,4043.0,1.14,81983.0,0.86,78.71 +23179,South Korea,2021,Alzheimer's Disease,Respiratory,2.58,4.17,6.37,19-35,Male,116896,95.6,0.69,6.41,Surgery,25654.0,No,95.51,4919.0,3.04,28596.0,0.81,83.32 +23183,Turkey,2003,Hepatitis,Bacterial,18.49,7.61,8.78,61+,Other,290171,69.9,1.49,7.21,Surgery,19656.0,No,60.44,2729.0,0.84,68340.0,0.52,52.77 +23185,Nigeria,2022,Dengue,Cardiovascular,3.33,10.14,0.85,19-35,Male,864040,79.39,3.38,5.24,Vaccination,5975.0,Yes,55.84,3597.0,7.4,76781.0,0.41,86.35 +23186,China,2021,Polio,Infectious,13.95,8.63,8.66,36-60,Female,967840,92.9,0.61,1.03,Medication,1813.0,No,63.03,4504.0,6.07,23253.0,0.58,40.97 +23187,Australia,2011,HIV/AIDS,Viral,9.69,10.81,0.77,19-35,Male,456643,67.28,3.69,2.9,Therapy,10869.0,Yes,89.22,1315.0,1.3,71718.0,0.72,31.67 +23191,China,2015,Influenza,Metabolic,9.23,10.32,3.55,36-60,Male,495028,85.93,1.41,0.92,Therapy,4627.0,No,65.49,4207.0,9.51,29124.0,0.6,61.42 +23195,France,2016,Leprosy,Autoimmune,0.91,14.73,8.06,61+,Male,794278,82.58,1.53,9.74,Therapy,2920.0,No,81.43,4048.0,2.39,17080.0,0.57,72.77 +23199,Germany,2011,Asthma,Metabolic,10.46,1.67,9.28,19-35,Male,781321,52.29,1.65,8.77,Vaccination,14816.0,No,90.24,4124.0,0.79,87982.0,0.63,53.05 +23200,Brazil,2006,Parkinson's Disease,Parasitic,13.99,6.6,5.17,36-60,Female,811838,67.92,4.47,5.65,Vaccination,49920.0,No,52.93,3115.0,3.44,71302.0,0.76,66.15 +23201,Brazil,2011,COVID-19,Genetic,17.97,8.04,3.47,19-35,Other,869220,61.03,1.99,9.71,Medication,46677.0,Yes,72.93,5000.0,8.92,52939.0,0.73,61.38 +23204,India,2018,Tuberculosis,Infectious,9.84,4.54,6.76,36-60,Male,521464,90.47,0.54,9.06,Vaccination,19840.0,Yes,75.95,1403.0,5.75,55792.0,0.64,82.09 +23208,Saudi Arabia,2008,Tuberculosis,Viral,11.33,2.32,6.57,36-60,Male,571416,95.23,1.5,2.75,Surgery,38296.0,Yes,64.38,1230.0,6.31,33517.0,0.74,46.12 +23210,China,2004,Rabies,Viral,5.73,10.67,6.08,0-18,Other,739177,91.49,2.67,6.8,Therapy,32659.0,Yes,58.45,4724.0,9.68,7237.0,0.85,69.78 +23227,Turkey,2018,Influenza,Genetic,13.99,12.62,1.04,0-18,Other,475162,86.69,1.68,1.49,Surgery,23133.0,No,60.61,3712.0,3.29,67911.0,0.8,73.55 +23242,USA,2018,Tuberculosis,Viral,19.86,10.33,7.51,61+,Male,298784,53.14,4.92,6.2,Vaccination,27178.0,Yes,85.59,919.0,0.39,10673.0,0.72,78.48 +23243,Germany,2013,Leprosy,Cardiovascular,16.04,4.32,5.28,19-35,Other,497553,92.79,2.68,6.41,Medication,26893.0,No,60.16,1584.0,4.58,62813.0,0.72,51.12 +23252,Australia,2014,Diabetes,Bacterial,4.74,10.77,8.3,36-60,Male,182703,86.61,1.16,5.78,Medication,44940.0,No,91.91,1379.0,6.37,62567.0,0.81,43.1 +23263,China,2019,COVID-19,Infectious,8.25,0.31,4.72,36-60,Other,645793,58.81,2.96,2.47,Vaccination,43054.0,No,88.75,1774.0,6.65,87490.0,0.45,43.43 +23266,Canada,2024,HIV/AIDS,Cardiovascular,8.75,11.82,9.24,19-35,Other,618789,86.99,3.63,4.49,Medication,27946.0,No,70.79,1664.0,9.4,67651.0,0.51,63.12 +23268,Argentina,2015,Cholera,Parasitic,4.18,4.21,1.49,0-18,Male,895292,61.59,3.27,2.08,Therapy,20560.0,Yes,89.9,1462.0,6.37,92777.0,0.53,76.16 +23275,France,2003,Ebola,Neurological,7.34,14.11,9.02,36-60,Male,541251,85.55,3.41,2.59,Vaccination,1020.0,No,58.95,2241.0,4.57,35175.0,0.72,53.67 +23276,Mexico,2015,Cancer,Autoimmune,13.7,10.87,9.46,19-35,Male,140251,79.64,1.55,0.64,Medication,38644.0,Yes,53.38,1789.0,6.15,27653.0,0.67,50.27 +23277,Canada,2014,Diabetes,Respiratory,2.43,14.94,3.37,19-35,Male,770051,78.7,2.67,0.82,Medication,6126.0,No,94.28,376.0,8.19,37421.0,0.86,42.03 +23285,USA,2014,Malaria,Genetic,16.63,5.54,7.81,0-18,Other,135661,84.7,2.28,9.6,Vaccination,44122.0,No,81.26,2813.0,7.68,83683.0,0.65,47.18 +23292,China,2022,HIV/AIDS,Bacterial,10.96,3.19,5.0,19-35,Female,270784,63.86,2.38,6.74,Vaccination,46634.0,Yes,51.91,4100.0,7.86,94413.0,0.64,35.37 +23293,China,2011,Measles,Neurological,14.91,3.04,3.14,19-35,Male,905845,53.4,2.85,4.99,Medication,1305.0,Yes,58.02,1908.0,7.37,87823.0,0.41,51.15 +23296,Australia,2001,Rabies,Cardiovascular,8.51,10.21,0.33,36-60,Male,152824,75.15,4.79,3.65,Medication,762.0,No,62.92,2991.0,1.84,90767.0,0.61,74.8 +23297,Argentina,2005,HIV/AIDS,Bacterial,2.34,4.82,7.6,0-18,Male,838286,63.61,3.3,4.87,Therapy,2703.0,Yes,76.86,4479.0,6.64,59749.0,0.88,51.83 +23300,Canada,2009,Hypertension,Genetic,17.02,1.5,9.28,61+,Female,463083,96.86,2.98,1.36,Medication,41306.0,Yes,84.31,2266.0,3.75,70395.0,0.65,35.43 +23304,Brazil,2009,Rabies,Metabolic,14.58,11.27,5.34,61+,Other,801791,58.79,2.45,6.01,Therapy,26678.0,No,72.32,4455.0,1.67,23387.0,0.43,51.8 +23311,Brazil,2005,Leprosy,Infectious,4.8,9.88,3.16,36-60,Female,427604,64.15,2.19,0.56,Surgery,6046.0,Yes,57.2,1843.0,3.24,35431.0,0.76,62.48 +23313,Argentina,2018,Malaria,Viral,19.27,8.52,7.77,19-35,Female,511041,66.58,2.97,6.22,Vaccination,46033.0,Yes,67.95,2177.0,1.62,16765.0,0.71,22.86 +23316,Russia,2024,Parkinson's Disease,Cardiovascular,0.24,13.26,3.9,0-18,Other,148661,99.45,2.42,7.47,Therapy,6990.0,Yes,84.88,1265.0,4.52,25859.0,0.56,25.54 +23317,Turkey,2022,Asthma,Autoimmune,8.93,7.81,6.27,19-35,Female,727571,59.32,3.66,6.61,Vaccination,48029.0,Yes,96.05,1202.0,0.04,59303.0,0.43,31.38 +23321,Russia,2001,Malaria,Chronic,4.72,8.92,3.02,61+,Other,824087,76.75,1.08,7.53,Therapy,15811.0,Yes,82.45,2843.0,4.43,45355.0,0.43,89.34 +23323,France,2001,Polio,Chronic,2.29,0.4,3.81,19-35,Other,189524,63.33,2.38,7.11,Medication,32300.0,No,55.59,1552.0,5.97,29664.0,0.55,84.91 +23328,Nigeria,2000,Alzheimer's Disease,Infectious,13.45,4.8,0.44,61+,Female,751301,91.76,3.96,5.65,Vaccination,46569.0,No,61.47,892.0,6.22,81799.0,0.69,52.02 +23335,Indonesia,2006,Tuberculosis,Viral,0.34,14.4,4.12,19-35,Other,70703,71.94,3.48,4.54,Vaccination,23089.0,No,55.69,2099.0,2.91,31331.0,0.44,51.94 +23337,USA,2013,Zika,Bacterial,5.75,6.69,1.71,61+,Other,111859,53.6,3.03,0.76,Vaccination,4742.0,No,77.41,3506.0,8.05,91144.0,0.4,74.99 +23350,Australia,2005,Leprosy,Bacterial,14.8,13.81,2.45,36-60,Other,173661,81.28,3.95,3.13,Vaccination,26085.0,Yes,68.7,1281.0,8.75,50879.0,0.85,45.85 +23359,Indonesia,2001,COVID-19,Cardiovascular,3.47,11.34,2.44,19-35,Female,845274,86.74,2.42,9.22,Surgery,24770.0,Yes,79.85,3294.0,2.24,42679.0,0.67,83.96 +23367,Germany,2023,Zika,Respiratory,10.64,13.06,8.12,61+,Female,82908,99.34,2.95,1.2,Vaccination,15650.0,No,69.51,2082.0,7.81,48189.0,0.49,66.26 +23369,Russia,2001,Hepatitis,Metabolic,4.78,10.3,8.04,36-60,Female,395904,79.2,3.79,4.31,Therapy,4685.0,Yes,55.6,2886.0,1.75,95874.0,0.87,82.86 +23371,UK,2004,COVID-19,Chronic,4.3,2.44,6.48,19-35,Other,915911,91.63,3.94,8.66,Vaccination,31156.0,No,93.55,64.0,2.84,20165.0,0.73,28.87 +23381,Indonesia,2002,Measles,Respiratory,11.17,7.18,4.88,0-18,Other,733910,62.27,4.49,2.37,Vaccination,27962.0,No,61.93,4937.0,2.27,23201.0,0.47,82.4 +23383,Mexico,2001,Hypertension,Parasitic,12.18,2.55,5.65,61+,Male,737654,96.2,2.32,4.86,Therapy,41150.0,No,52.39,523.0,1.92,19632.0,0.58,34.28 +23387,South Africa,2013,Cholera,Autoimmune,10.63,11.43,4.18,36-60,Female,896326,75.03,3.77,0.8,Surgery,45994.0,No,82.12,2335.0,7.46,10888.0,0.8,30.14 +23400,Argentina,2014,Hypertension,Infectious,18.78,7.87,2.82,0-18,Male,865198,58.09,2.14,2.96,Medication,33131.0,Yes,91.18,957.0,9.91,43479.0,0.65,40.81 +23407,India,2004,Influenza,Genetic,12.18,14.88,7.92,36-60,Male,600435,99.39,3.41,9.81,Therapy,44403.0,Yes,98.9,1461.0,8.14,74712.0,0.6,21.34 +23408,Saudi Arabia,2012,Ebola,Respiratory,3.46,14.62,9.51,19-35,Female,694601,52.98,1.48,9.65,Surgery,23496.0,No,82.69,487.0,7.62,27312.0,0.9,76.66 +23413,South Korea,2002,Zika,Bacterial,5.02,12.65,6.69,19-35,Other,776937,68.24,1.12,4.11,Vaccination,28997.0,No,85.98,4652.0,4.39,90172.0,0.84,39.65 +23414,UK,2009,Influenza,Genetic,12.31,4.46,7.78,36-60,Female,161191,83.28,3.9,1.58,Vaccination,8325.0,No,51.48,2306.0,7.72,88162.0,0.81,56.43 +23424,South Korea,2024,Hypertension,Genetic,12.09,11.7,2.59,36-60,Female,820327,83.46,2.87,4.72,Vaccination,44345.0,Yes,69.39,4165.0,9.61,14759.0,0.68,51.18 +23433,Mexico,2000,COVID-19,Viral,17.62,9.5,2.48,19-35,Male,164455,96.97,4.4,2.53,Medication,6297.0,No,51.14,4491.0,5.88,63712.0,0.46,69.71 +23435,India,2013,Measles,Infectious,10.2,0.47,1.08,36-60,Male,126686,88.78,1.25,4.58,Medication,34534.0,No,95.95,3515.0,9.38,20326.0,0.48,56.83 +23440,Russia,2019,Parkinson's Disease,Viral,6.07,2.01,3.12,0-18,Female,885693,74.16,1.15,2.01,Surgery,48656.0,No,73.51,1179.0,4.14,6335.0,0.66,76.07 +23450,Argentina,2004,COVID-19,Bacterial,12.0,2.03,0.81,19-35,Male,293266,77.43,3.67,9.12,Surgery,20605.0,No,95.74,4699.0,4.07,82550.0,0.77,39.87 +23451,Turkey,2002,Diabetes,Infectious,14.79,1.6,1.86,61+,Other,503455,84.54,2.82,3.87,Surgery,18672.0,No,94.61,2668.0,6.46,79048.0,0.7,83.47 +23459,South Africa,2009,Ebola,Bacterial,16.82,1.95,0.62,61+,Male,732182,84.62,2.6,9.65,Surgery,31077.0,Yes,64.46,2904.0,8.77,74951.0,0.79,67.64 +23461,Indonesia,2002,Polio,Infectious,19.32,3.09,4.06,19-35,Male,306806,51.05,2.63,7.41,Therapy,47474.0,No,93.73,886.0,8.85,81790.0,0.63,20.87 +23463,UK,2000,Hypertension,Viral,16.24,10.68,2.02,0-18,Other,503591,83.1,3.01,9.73,Surgery,7578.0,Yes,54.24,3960.0,8.79,15291.0,0.71,39.55 +23467,Germany,2002,Parkinson's Disease,Neurological,10.06,4.03,0.66,61+,Other,132285,60.35,2.63,6.83,Vaccination,12278.0,No,77.21,1008.0,5.53,86714.0,0.7,81.03 +23470,Argentina,2023,Cholera,Neurological,5.89,5.97,5.28,19-35,Other,73064,78.51,4.41,6.1,Therapy,848.0,No,77.26,1103.0,9.06,23952.0,0.67,87.89 +23473,Nigeria,2019,Malaria,Neurological,12.63,3.32,2.45,19-35,Female,119467,86.39,1.86,6.76,Therapy,14171.0,Yes,86.04,2705.0,0.59,23965.0,0.55,55.06 +23480,South Africa,2015,Malaria,Respiratory,19.57,9.65,0.93,36-60,Other,296455,59.7,4.3,4.34,Vaccination,1651.0,No,91.51,193.0,6.87,95293.0,0.71,50.32 +23486,Argentina,2000,COVID-19,Genetic,13.59,1.1,9.66,0-18,Female,415653,94.31,1.65,4.1,Surgery,24756.0,No,71.04,2774.0,4.68,50626.0,0.9,49.35 +23491,Argentina,2017,HIV/AIDS,Infectious,2.74,0.73,6.89,0-18,Female,182608,86.3,2.98,1.89,Surgery,11932.0,Yes,83.47,696.0,3.83,11079.0,0.75,22.56 +23492,Nigeria,2005,Cholera,Autoimmune,11.55,13.18,2.89,19-35,Other,635131,76.23,2.39,2.8,Medication,22495.0,Yes,75.0,1317.0,3.3,7786.0,0.72,65.92 +23512,Japan,2019,Polio,Chronic,17.91,9.57,6.59,0-18,Female,517681,52.08,4.78,2.88,Surgery,1372.0,No,50.49,580.0,8.81,40562.0,0.67,88.27 +23513,France,2002,Ebola,Viral,19.92,12.4,4.78,61+,Other,5744,98.59,2.02,7.79,Vaccination,23018.0,No,70.2,226.0,7.4,50417.0,0.52,59.71 +23516,USA,2012,Cancer,Metabolic,17.32,3.85,2.2,61+,Female,54507,87.02,3.87,4.88,Surgery,47783.0,Yes,70.36,2035.0,3.55,56757.0,0.6,54.41 +23520,USA,2003,Malaria,Bacterial,2.7,8.78,9.81,0-18,Male,475938,63.83,2.94,5.33,Vaccination,20469.0,Yes,86.55,4248.0,3.1,61073.0,0.47,33.51 +23525,Mexico,2014,Asthma,Bacterial,12.87,10.27,3.76,0-18,Other,788512,65.51,2.29,8.13,Therapy,32878.0,Yes,64.84,4261.0,7.7,14779.0,0.53,64.01 +23526,Japan,2023,Hypertension,Cardiovascular,15.82,2.53,8.81,0-18,Male,690976,93.75,4.51,4.56,Therapy,40616.0,No,95.6,3360.0,3.58,55064.0,0.78,69.68 +23537,Mexico,2002,Parkinson's Disease,Metabolic,19.26,1.66,4.55,0-18,Male,833491,65.59,1.53,8.31,Therapy,18923.0,Yes,72.9,924.0,1.2,43333.0,0.8,72.0 +23546,Argentina,2006,HIV/AIDS,Neurological,9.81,10.44,3.98,19-35,Other,465926,72.01,1.43,5.68,Vaccination,18892.0,Yes,54.71,1455.0,0.43,3797.0,0.76,63.88 +23548,South Africa,2009,COVID-19,Chronic,2.66,10.75,5.83,19-35,Male,875853,81.17,2.02,1.22,Surgery,26661.0,Yes,76.77,1803.0,5.13,44719.0,0.83,32.35 +23551,South Africa,2003,Hypertension,Neurological,9.09,8.32,0.22,19-35,Male,368185,69.57,1.8,1.26,Therapy,46219.0,No,71.12,1499.0,4.93,43880.0,0.59,67.04 +23567,South Korea,2002,Asthma,Parasitic,5.49,3.39,3.99,36-60,Female,663464,61.65,0.95,4.37,Surgery,14672.0,Yes,93.4,1569.0,7.43,75268.0,0.68,26.47 +23568,Germany,2015,Asthma,Infectious,16.45,10.83,0.9,61+,Male,988194,88.87,4.29,6.37,Therapy,25364.0,Yes,94.35,3921.0,3.02,41730.0,0.52,83.06 +23585,China,2023,Influenza,Bacterial,11.28,3.0,6.23,0-18,Male,256822,75.49,3.48,9.55,Therapy,47324.0,Yes,56.08,1703.0,0.42,37899.0,0.7,87.21 +23586,Argentina,2012,HIV/AIDS,Autoimmune,11.58,13.04,2.05,0-18,Other,859328,72.66,1.12,9.58,Vaccination,27317.0,Yes,57.76,3758.0,2.07,87527.0,0.68,74.33 +23601,Saudi Arabia,2019,Parkinson's Disease,Viral,3.77,11.33,4.8,19-35,Male,152567,54.21,1.85,3.82,Surgery,38140.0,Yes,74.35,2762.0,1.2,90284.0,0.84,31.85 +23602,Argentina,2020,Ebola,Viral,10.29,11.62,5.57,19-35,Other,132758,84.34,4.1,6.55,Vaccination,21890.0,Yes,72.04,916.0,4.08,97166.0,0.53,63.42 +23607,Indonesia,2016,Malaria,Viral,12.8,1.9,9.34,19-35,Other,499449,80.29,2.6,3.53,Vaccination,9689.0,No,98.06,2017.0,3.45,40880.0,0.86,85.16 +23612,Brazil,2005,Measles,Bacterial,4.53,9.92,5.99,0-18,Male,556572,95.72,0.56,5.22,Therapy,5147.0,No,76.7,1238.0,4.73,98142.0,0.88,20.99 +23617,Argentina,2015,Malaria,Cardiovascular,16.89,3.42,0.73,61+,Male,537549,65.62,1.18,9.25,Medication,43602.0,No,96.44,4590.0,7.16,83803.0,0.51,52.22 +23627,Italy,2018,Asthma,Autoimmune,1.28,0.33,5.91,19-35,Male,725737,91.68,4.71,8.47,Surgery,40801.0,Yes,70.02,3099.0,1.22,92549.0,0.65,89.63 +23631,Nigeria,2005,Cancer,Neurological,1.56,9.91,0.22,19-35,Other,66197,68.46,0.65,2.9,Therapy,1154.0,No,98.09,533.0,9.68,49282.0,0.54,48.02 +23632,USA,2010,Tuberculosis,Bacterial,15.96,14.97,2.73,36-60,Female,745393,82.67,4.35,5.98,Surgery,910.0,No,92.43,3896.0,1.77,19221.0,0.68,46.76 +23635,South Africa,2002,Zika,Cardiovascular,16.01,11.73,4.23,0-18,Other,668295,59.83,1.79,1.39,Therapy,18518.0,No,81.42,730.0,9.76,18687.0,0.73,73.45 +23637,South Korea,2004,Malaria,Neurological,14.36,11.21,8.65,19-35,Male,774267,97.84,3.94,1.56,Medication,25216.0,Yes,64.99,64.0,6.19,83929.0,0.64,47.97 +23638,Brazil,2004,Zika,Genetic,3.36,14.42,6.73,19-35,Other,656277,62.47,1.89,5.44,Surgery,3887.0,Yes,98.12,1845.0,0.16,77788.0,0.65,84.88 +23645,Indonesia,2018,Asthma,Cardiovascular,18.83,11.98,0.9,0-18,Male,44503,64.26,0.78,6.31,Vaccination,9719.0,Yes,85.79,2565.0,0.54,25943.0,0.7,33.72 +23649,Italy,2010,Polio,Neurological,4.86,5.1,1.32,61+,Other,951620,64.27,4.67,8.43,Therapy,35230.0,Yes,65.91,4113.0,8.34,34564.0,0.55,54.67 +23662,Turkey,2024,Hypertension,Chronic,16.35,5.09,8.98,0-18,Male,533925,92.94,2.9,5.87,Medication,5332.0,Yes,91.6,777.0,6.96,8096.0,0.76,52.02 +23663,Argentina,2021,Leprosy,Autoimmune,18.21,0.75,3.07,19-35,Other,251797,80.56,4.72,5.06,Surgery,4004.0,Yes,50.69,3831.0,1.78,56325.0,0.43,42.14 +23664,Saudi Arabia,2001,Parkinson's Disease,Respiratory,9.91,3.45,0.75,0-18,Male,10022,90.56,1.9,6.87,Surgery,30772.0,No,67.91,2492.0,4.57,95521.0,0.62,67.48 +23671,Mexico,2022,Cancer,Genetic,1.66,2.81,7.77,0-18,Male,634691,82.83,4.05,2.15,Vaccination,36823.0,Yes,68.87,3010.0,9.56,81257.0,0.51,32.23 +23685,UK,2011,Cancer,Infectious,7.51,13.69,4.95,36-60,Male,262092,88.46,1.03,1.53,Vaccination,18761.0,Yes,61.56,1081.0,0.67,64956.0,0.64,22.85 +23686,South Africa,2003,Tuberculosis,Cardiovascular,6.04,8.07,0.33,61+,Female,951926,87.49,2.25,8.73,Vaccination,22412.0,No,55.0,3554.0,8.71,2181.0,0.72,52.61 +23689,Mexico,2022,Alzheimer's Disease,Viral,11.67,7.09,5.93,0-18,Male,238566,95.57,2.16,7.18,Medication,21391.0,No,89.68,1182.0,3.02,2672.0,0.85,56.34 +23691,South Korea,2017,HIV/AIDS,Infectious,4.36,8.16,4.53,61+,Other,760550,94.74,2.48,5.56,Vaccination,49348.0,Yes,62.84,3774.0,8.35,96353.0,0.72,34.24 +23700,Brazil,2002,Zika,Autoimmune,15.15,6.39,7.95,19-35,Male,564992,63.18,1.87,1.43,Surgery,38834.0,Yes,67.12,4786.0,6.78,64558.0,0.44,68.46 +23702,Indonesia,2024,Tuberculosis,Autoimmune,0.63,0.65,4.95,0-18,Female,715065,78.34,0.75,2.9,Medication,49214.0,No,94.96,4088.0,4.3,68287.0,0.58,43.84 +23705,Saudi Arabia,2019,Tuberculosis,Infectious,12.49,11.87,1.0,61+,Other,315752,57.12,0.66,1.74,Medication,19215.0,Yes,88.1,2404.0,6.29,82630.0,0.4,51.51 +23706,Mexico,2008,Tuberculosis,Neurological,4.93,2.34,1.04,0-18,Male,196352,91.18,3.9,9.83,Surgery,40650.0,Yes,59.49,4734.0,4.55,25172.0,0.49,66.85 +23708,France,2018,Hypertension,Genetic,9.2,12.82,1.09,0-18,Other,269750,68.48,4.41,4.96,Surgery,31179.0,No,58.39,456.0,8.55,75276.0,0.49,58.16 +23710,Saudi Arabia,2019,Diabetes,Viral,16.6,2.44,9.3,19-35,Male,665779,52.83,1.31,5.72,Vaccination,37332.0,No,86.53,1329.0,7.53,53935.0,0.85,47.84 +23720,India,2023,Influenza,Respiratory,17.13,15.0,6.61,19-35,Female,805461,76.02,1.2,1.32,Therapy,43839.0,Yes,77.01,4460.0,8.34,23067.0,0.57,52.49 +23722,Turkey,2022,Zika,Genetic,17.51,7.85,6.6,19-35,Male,178445,84.62,3.67,0.63,Surgery,45580.0,Yes,73.11,4764.0,8.87,73705.0,0.42,41.77 +23727,Germany,2001,Polio,Autoimmune,17.85,7.95,5.55,61+,Other,611419,61.07,1.75,1.65,Surgery,3305.0,Yes,51.11,4915.0,4.34,58215.0,0.65,38.31 +23728,Argentina,2013,COVID-19,Parasitic,19.82,13.79,0.55,61+,Other,711962,59.13,2.63,2.64,Vaccination,25833.0,Yes,75.06,535.0,6.69,86189.0,0.46,29.59 +23733,Saudi Arabia,2010,Polio,Respiratory,0.34,2.96,0.87,0-18,Other,35133,75.69,0.74,3.59,Surgery,42614.0,Yes,52.49,4754.0,4.52,59613.0,0.45,86.16 +23737,Australia,2006,Leprosy,Autoimmune,8.24,3.36,5.47,0-18,Female,81137,62.8,4.09,5.45,Therapy,34660.0,Yes,53.3,2446.0,6.31,60839.0,0.67,47.38 +23739,Canada,2011,HIV/AIDS,Parasitic,10.44,10.98,6.87,19-35,Other,849524,93.48,1.18,5.91,Medication,45889.0,Yes,78.81,1419.0,3.74,30927.0,0.51,48.1 +23742,Australia,2024,Cholera,Bacterial,17.99,1.71,8.75,0-18,Other,737583,72.81,3.15,4.52,Therapy,41565.0,No,59.57,138.0,7.48,38126.0,0.86,63.53 +23747,Italy,2021,HIV/AIDS,Neurological,12.87,1.88,7.06,36-60,Other,658672,54.45,2.59,2.11,Therapy,21295.0,Yes,72.26,2089.0,5.63,67042.0,0.42,41.58 +23749,Saudi Arabia,2006,Tuberculosis,Infectious,4.78,7.98,7.98,36-60,Female,225347,67.39,1.34,0.67,Therapy,10479.0,No,60.83,507.0,4.05,74413.0,0.61,76.71 +23757,Nigeria,2007,Tuberculosis,Autoimmune,15.88,9.45,5.64,61+,Male,989076,53.52,0.5,3.74,Medication,48451.0,Yes,59.82,577.0,1.32,23642.0,0.62,78.52 +23759,Italy,2014,Rabies,Respiratory,3.23,12.97,3.38,0-18,Male,999493,57.19,3.75,5.76,Medication,16008.0,Yes,50.62,1664.0,3.69,18015.0,0.75,32.05 +23762,South Africa,2019,Dengue,Cardiovascular,10.75,7.58,1.34,0-18,Male,446138,61.07,1.07,6.96,Surgery,15766.0,No,66.92,3624.0,2.5,57159.0,0.87,70.08 +23770,UK,2014,Ebola,Chronic,8.82,13.96,2.76,19-35,Female,377920,63.63,4.05,9.08,Medication,21103.0,Yes,93.16,3557.0,4.9,17518.0,0.73,83.12 +23787,Australia,2010,Hepatitis,Genetic,18.68,1.95,0.9,61+,Other,796345,70.42,4.42,1.94,Therapy,6619.0,No,76.71,880.0,4.73,70338.0,0.78,73.55 +23788,South Korea,2008,Dengue,Bacterial,17.2,12.83,4.21,0-18,Female,86657,66.07,4.6,1.1,Vaccination,1374.0,No,58.17,3820.0,4.04,57871.0,0.63,47.69 +23794,Mexico,2016,Parkinson's Disease,Infectious,4.51,1.2,3.47,61+,Other,366869,89.57,3.2,8.71,Therapy,20468.0,Yes,65.57,4366.0,6.7,40306.0,0.4,29.99 +23798,South Africa,2003,Alzheimer's Disease,Viral,2.93,2.91,6.77,19-35,Female,466486,63.27,1.37,3.94,Vaccination,18901.0,Yes,68.71,1644.0,7.57,35024.0,0.41,60.18 +23802,Indonesia,2000,Asthma,Metabolic,18.65,7.77,2.43,61+,Other,934179,73.4,2.9,4.85,Vaccination,17762.0,Yes,84.68,1399.0,1.64,84328.0,0.44,87.83 +23806,Nigeria,2008,Parkinson's Disease,Metabolic,8.11,10.46,8.6,36-60,Female,939310,74.95,2.84,7.74,Medication,45030.0,No,61.61,1155.0,9.56,43322.0,0.6,81.03 +23808,Turkey,2003,Asthma,Neurological,19.38,0.73,1.43,19-35,Male,429876,65.0,2.02,6.94,Therapy,12664.0,No,73.58,1029.0,6.3,37822.0,0.42,20.12 +23811,India,2020,Alzheimer's Disease,Infectious,19.49,11.84,9.33,19-35,Other,348879,60.41,1.85,5.51,Therapy,35751.0,No,86.94,952.0,2.45,59384.0,0.63,43.27 +23822,Australia,2022,Leprosy,Chronic,0.58,2.27,6.61,19-35,Male,386819,84.98,2.7,4.62,Surgery,9669.0,Yes,64.25,1705.0,5.73,58957.0,0.63,44.22 +23823,Italy,2015,Alzheimer's Disease,Respiratory,12.74,11.14,9.44,61+,Female,792119,82.59,1.61,1.43,Therapy,3740.0,No,68.87,3517.0,0.92,65807.0,0.63,20.66 +23824,Brazil,2002,Cholera,Respiratory,17.32,11.86,4.9,19-35,Male,476763,57.32,4.82,4.08,Therapy,13128.0,Yes,72.67,3650.0,5.71,61479.0,0.57,29.39 +23827,Russia,2017,Zika,Respiratory,1.58,10.32,5.96,61+,Male,803889,68.05,4.86,6.4,Vaccination,43789.0,Yes,92.14,4244.0,1.23,28569.0,0.53,47.22 +23831,South Korea,2015,Polio,Cardiovascular,7.11,13.88,4.47,36-60,Other,734028,74.83,3.82,8.39,Surgery,38138.0,Yes,93.62,1321.0,0.07,52384.0,0.69,71.13 +23836,France,2015,Alzheimer's Disease,Parasitic,12.86,3.87,4.88,36-60,Male,133237,95.19,4.13,9.0,Therapy,8335.0,No,70.07,4288.0,9.2,75604.0,0.41,40.59 +23856,South Korea,2020,Dengue,Genetic,5.73,9.68,7.27,36-60,Other,447415,82.52,4.94,8.64,Surgery,26508.0,Yes,58.04,4855.0,5.13,71685.0,0.65,33.16 +23857,Turkey,2020,COVID-19,Genetic,7.02,6.29,4.81,36-60,Male,848508,61.95,4.21,1.68,Surgery,8194.0,No,81.67,694.0,3.42,14269.0,0.68,27.81 +23858,South Africa,2019,Cancer,Chronic,1.15,7.57,6.66,61+,Male,336232,57.51,1.25,9.46,Medication,9276.0,Yes,61.56,3357.0,2.41,10052.0,0.43,46.2 +23870,Argentina,2022,Parkinson's Disease,Infectious,5.43,4.17,2.45,0-18,Female,51957,70.68,1.68,7.56,Vaccination,22792.0,Yes,83.13,1486.0,5.14,24423.0,0.75,38.88 +23872,Japan,2009,Dengue,Viral,11.64,3.6,9.78,19-35,Other,243451,95.53,1.25,5.76,Surgery,7355.0,No,56.23,2877.0,0.8,66346.0,0.84,68.69 +23873,India,2014,Zika,Neurological,0.34,3.59,9.6,36-60,Other,422148,88.81,4.67,6.79,Therapy,23401.0,Yes,98.57,1145.0,4.06,65138.0,0.71,49.54 +23876,Germany,2005,Cholera,Infectious,11.7,14.7,7.52,36-60,Male,743405,95.21,3.17,6.93,Therapy,31301.0,Yes,50.19,2889.0,3.25,95094.0,0.78,89.93 +23879,South Korea,2018,Asthma,Parasitic,0.34,7.8,2.87,61+,Male,107825,84.87,4.86,3.29,Surgery,47400.0,No,67.94,369.0,4.51,22712.0,0.71,48.53 +23881,Turkey,2021,Zika,Parasitic,14.84,11.62,0.73,19-35,Other,699563,50.27,2.22,1.98,Surgery,1576.0,No,72.69,3213.0,7.81,52160.0,0.77,46.59 +23884,Australia,2013,Polio,Autoimmune,12.75,11.49,5.14,36-60,Female,945338,67.93,2.95,8.42,Surgery,26719.0,No,92.39,2462.0,2.68,97007.0,0.42,70.62 +23900,Australia,2011,Asthma,Cardiovascular,10.15,13.44,5.85,36-60,Male,92771,83.76,0.76,4.19,Vaccination,19401.0,Yes,92.53,3800.0,9.79,73648.0,0.64,81.36 +23913,Mexico,2015,Polio,Viral,18.26,5.76,9.38,61+,Other,952550,90.37,4.37,8.07,Therapy,36635.0,Yes,89.45,1690.0,9.05,95371.0,0.76,20.01 +23916,Australia,2000,Influenza,Respiratory,19.47,0.54,8.77,19-35,Other,346412,99.58,2.8,9.53,Vaccination,27816.0,Yes,81.03,3308.0,3.35,78742.0,0.82,72.17 +23922,Saudi Arabia,2000,Leprosy,Cardiovascular,12.37,5.67,1.45,0-18,Male,182563,54.84,2.2,1.88,Medication,271.0,No,58.3,2316.0,6.88,77798.0,0.68,50.55 +23939,Canada,2001,Hepatitis,Chronic,7.78,2.68,0.23,36-60,Female,447503,76.66,3.65,4.94,Vaccination,35444.0,No,95.52,3698.0,1.38,3763.0,0.51,73.8 +23941,Germany,2005,Ebola,Autoimmune,7.83,8.12,1.46,0-18,Female,276002,58.05,2.94,3.35,Surgery,26166.0,Yes,82.02,4542.0,5.04,78735.0,0.58,40.17 +23945,Mexico,2004,Ebola,Infectious,16.43,11.48,1.19,19-35,Male,24748,72.91,3.61,7.27,Therapy,15282.0,Yes,96.49,4455.0,8.73,41654.0,0.59,67.19 +23947,France,2014,Polio,Parasitic,4.87,5.69,6.28,61+,Male,986197,60.2,3.68,1.14,Surgery,27668.0,No,74.52,3627.0,5.99,41190.0,0.46,74.84 +23950,Nigeria,2004,Leprosy,Infectious,7.01,12.52,6.84,61+,Female,215051,52.01,3.42,5.21,Therapy,32708.0,Yes,93.32,1057.0,4.93,82074.0,0.49,46.85 +23951,Italy,2018,Leprosy,Cardiovascular,10.26,5.47,4.26,19-35,Female,146773,86.71,2.53,0.84,Medication,3079.0,No,75.37,55.0,0.95,19848.0,0.86,66.26 +23953,Russia,2005,Alzheimer's Disease,Autoimmune,10.26,3.98,5.09,0-18,Female,500958,88.14,4.16,9.19,Medication,49250.0,No,73.72,818.0,1.76,45724.0,0.66,29.4 +23959,USA,2011,COVID-19,Genetic,15.14,7.42,6.01,36-60,Male,155112,99.11,4.27,3.67,Therapy,7638.0,Yes,86.95,1805.0,3.95,24751.0,0.71,58.97 +23960,China,2011,Malaria,Chronic,12.12,0.16,8.78,19-35,Female,305718,56.7,2.23,1.0,Vaccination,11772.0,Yes,87.74,3824.0,9.54,56987.0,0.75,44.07 +23969,Russia,2013,HIV/AIDS,Parasitic,12.84,5.43,0.63,61+,Male,361698,53.77,2.84,3.69,Surgery,4087.0,No,89.07,4411.0,4.54,36437.0,0.56,26.01 +23971,Canada,2009,Tuberculosis,Respiratory,13.7,1.84,7.65,61+,Other,532155,56.43,2.03,1.58,Therapy,48583.0,Yes,53.23,697.0,5.31,46102.0,0.89,32.74 +23976,Italy,2003,Measles,Cardiovascular,17.9,7.24,0.78,0-18,Male,111954,50.88,2.82,2.31,Medication,32194.0,Yes,83.36,4606.0,7.59,84391.0,0.55,46.06 +23978,China,2010,HIV/AIDS,Parasitic,1.54,9.07,2.49,0-18,Other,632242,58.83,3.87,9.87,Medication,40402.0,No,54.9,3417.0,5.67,98140.0,0.53,83.95 +23989,Japan,2023,Ebola,Bacterial,9.1,13.58,7.41,19-35,Other,16147,68.43,3.71,2.0,Vaccination,21352.0,No,62.21,4196.0,6.68,47880.0,0.74,69.36 +23991,USA,2014,Diabetes,Infectious,19.77,0.53,2.51,19-35,Male,291927,50.79,3.79,0.87,Surgery,49624.0,Yes,60.14,1452.0,0.16,75740.0,0.77,29.93 +23995,South Korea,2004,Asthma,Metabolic,17.52,0.84,0.55,61+,Female,634475,85.19,4.31,5.25,Medication,19372.0,No,63.93,1764.0,1.36,19995.0,0.62,66.59 +23998,Mexico,2016,COVID-19,Genetic,5.28,4.03,6.23,19-35,Male,853980,74.18,1.04,6.71,Vaccination,25948.0,No,67.82,4412.0,2.77,70171.0,0.48,39.92 +24000,Australia,2002,Tuberculosis,Chronic,12.37,4.41,6.45,61+,Male,990111,56.93,2.48,4.1,Therapy,5050.0,No,92.99,4665.0,8.47,54710.0,0.46,30.99 +24012,Saudi Arabia,2001,HIV/AIDS,Genetic,7.39,13.52,2.38,19-35,Female,165901,52.99,3.65,5.5,Therapy,34787.0,Yes,84.37,822.0,4.07,32015.0,0.55,71.73 +24019,Turkey,2015,Hypertension,Bacterial,12.17,0.31,2.12,0-18,Female,1051,67.89,0.54,8.48,Surgery,6559.0,Yes,63.78,2534.0,5.02,63976.0,0.59,74.51 +24026,Italy,2011,Ebola,Infectious,7.58,14.6,6.3,36-60,Female,450718,66.02,4.07,8.4,Therapy,40938.0,No,62.49,4463.0,3.85,7082.0,0.65,26.98 +24029,Nigeria,2006,Zika,Bacterial,4.68,9.23,0.12,36-60,Female,901443,86.61,1.75,9.21,Vaccination,38483.0,No,54.69,999.0,7.04,23942.0,0.67,41.5 +24032,Japan,2001,Dengue,Parasitic,15.58,10.02,0.58,19-35,Male,824235,83.18,2.23,8.62,Surgery,30222.0,Yes,81.22,2901.0,0.3,19462.0,0.68,50.76 +24033,India,2004,Diabetes,Genetic,15.78,11.23,4.78,36-60,Other,453018,84.26,4.43,8.18,Medication,23382.0,No,72.09,2980.0,7.74,17341.0,0.69,81.49 +24037,Australia,2017,Hepatitis,Bacterial,10.81,8.82,6.41,61+,Male,498124,84.26,0.9,6.14,Surgery,39904.0,Yes,75.75,2885.0,9.04,56911.0,0.82,73.19 +24038,Saudi Arabia,2004,Alzheimer's Disease,Bacterial,9.56,4.76,4.45,36-60,Female,716678,54.39,2.12,1.81,Medication,32797.0,Yes,52.21,3994.0,0.98,7203.0,0.74,36.52 +24040,Saudi Arabia,2010,Tuberculosis,Infectious,4.72,1.37,5.05,36-60,Female,789699,86.08,2.72,2.7,Vaccination,23437.0,Yes,66.62,1137.0,7.65,38174.0,0.9,32.39 +24044,Nigeria,2010,Ebola,Parasitic,9.5,6.94,3.37,36-60,Male,194219,77.76,1.49,7.19,Vaccination,41436.0,No,73.04,1229.0,7.73,27935.0,0.42,80.66 +24051,Nigeria,2014,Asthma,Cardiovascular,2.15,11.48,6.89,36-60,Female,295577,91.0,0.99,3.59,Therapy,22271.0,Yes,73.67,187.0,9.43,88033.0,0.55,63.43 +24057,India,2002,Malaria,Autoimmune,17.94,4.35,6.35,61+,Other,651257,66.16,2.21,4.34,Therapy,48498.0,No,75.4,2270.0,3.76,56424.0,0.87,20.81 +24060,India,2007,Influenza,Infectious,12.91,6.33,1.63,36-60,Female,566862,89.22,2.35,4.74,Therapy,47237.0,Yes,65.61,3546.0,1.64,85169.0,0.56,55.57 +24065,Turkey,2022,Zika,Respiratory,3.19,14.13,1.43,61+,Male,910517,77.98,3.49,3.18,Therapy,28840.0,No,92.04,3465.0,1.7,53186.0,0.81,61.25 +24067,Nigeria,2018,Tuberculosis,Parasitic,16.4,7.65,3.48,19-35,Other,258709,79.15,0.92,3.83,Surgery,28247.0,Yes,68.25,3276.0,0.99,1379.0,0.82,42.82 +24073,South Korea,2012,Cancer,Neurological,10.53,5.59,6.85,61+,Female,168569,87.98,2.98,3.59,Vaccination,19250.0,No,83.39,2260.0,0.58,20512.0,0.75,67.84 +24080,USA,2012,Cholera,Infectious,10.55,9.64,8.99,0-18,Female,464616,82.5,3.29,4.72,Surgery,37421.0,Yes,91.16,3963.0,3.0,20200.0,0.46,79.47 +24084,Italy,2010,Polio,Viral,7.69,6.95,2.0,61+,Female,204242,67.73,4.67,5.46,Surgery,34662.0,Yes,83.52,43.0,0.15,3634.0,0.71,34.82 +24085,USA,2021,Influenza,Infectious,9.28,4.79,4.75,19-35,Female,247629,58.86,3.81,4.09,Vaccination,3122.0,No,79.31,1352.0,7.19,15088.0,0.51,66.9 +24098,Mexico,2016,Influenza,Genetic,11.32,3.35,3.35,36-60,Other,943981,76.3,2.02,7.56,Vaccination,26860.0,No,52.89,3497.0,4.54,90536.0,0.88,39.54 +24106,South Africa,2000,Cholera,Genetic,6.85,12.78,2.85,36-60,Male,522941,56.59,3.74,1.22,Therapy,35272.0,Yes,52.75,902.0,4.35,91220.0,0.46,64.06 +24111,Argentina,2006,Malaria,Genetic,16.8,1.43,6.57,61+,Other,461516,68.86,3.81,5.71,Therapy,20170.0,No,64.68,2849.0,4.72,87173.0,0.83,89.7 +24114,Indonesia,2003,Parkinson's Disease,Infectious,0.8,6.51,2.91,0-18,Other,626262,57.34,3.54,6.3,Vaccination,27002.0,No,50.84,2088.0,3.82,50438.0,0.85,25.83 +24119,Brazil,2013,Ebola,Genetic,0.55,3.02,1.54,61+,Male,485383,86.07,2.31,9.17,Therapy,20387.0,Yes,61.8,4313.0,0.6,82307.0,0.76,49.26 +24125,Mexico,2017,Alzheimer's Disease,Metabolic,9.71,8.27,0.86,36-60,Male,760083,60.7,1.04,2.21,Surgery,29742.0,No,76.51,48.0,7.87,6993.0,0.43,71.76 +24128,India,2000,COVID-19,Metabolic,8.18,12.75,2.52,19-35,Other,432159,51.45,4.94,6.86,Vaccination,41384.0,Yes,68.75,1821.0,8.56,94223.0,0.44,72.84 +24131,South Korea,2011,Ebola,Parasitic,0.19,4.12,7.58,61+,Female,252593,92.86,1.74,3.51,Surgery,13128.0,Yes,66.38,1574.0,0.6,88254.0,0.54,48.7 +24135,South Korea,2017,Cholera,Viral,12.95,4.78,9.14,0-18,Female,965772,97.04,4.68,1.99,Therapy,23078.0,No,79.82,3788.0,7.44,3456.0,0.85,25.73 +24147,South Africa,2006,Parkinson's Disease,Bacterial,15.83,4.3,8.59,36-60,Female,31162,78.42,1.09,5.57,Surgery,5076.0,No,73.06,731.0,0.59,48709.0,0.89,24.79 +24151,UK,2007,Dengue,Viral,8.36,12.23,9.07,36-60,Female,864815,98.39,4.67,3.42,Therapy,4889.0,Yes,56.28,4262.0,5.46,9569.0,0.64,51.65 +24158,Turkey,2003,Cancer,Bacterial,2.97,13.76,9.98,61+,Male,549061,51.1,2.08,5.66,Therapy,27043.0,No,90.25,3605.0,4.08,3209.0,0.5,52.31 +24160,Japan,2011,Dengue,Neurological,0.15,13.87,9.26,36-60,Other,200772,70.06,0.83,3.46,Medication,16103.0,Yes,91.21,3534.0,7.03,79657.0,0.79,42.94 +24166,Australia,2014,Polio,Infectious,18.08,8.39,3.12,61+,Female,484916,92.9,1.55,6.87,Medication,23916.0,No,69.39,2762.0,6.53,51148.0,0.42,45.37 +24168,China,2013,Leprosy,Cardiovascular,10.46,13.55,0.72,36-60,Female,842480,54.71,0.6,5.3,Therapy,27495.0,Yes,64.09,127.0,2.09,17821.0,0.52,66.69 +24169,South Korea,2017,Measles,Respiratory,16.31,8.52,1.46,19-35,Other,699606,55.16,2.17,4.7,Therapy,46962.0,Yes,50.9,2493.0,3.27,14081.0,0.44,34.5 +24180,Indonesia,2007,Diabetes,Parasitic,7.31,4.2,2.04,36-60,Male,748859,82.14,3.43,3.27,Medication,32340.0,Yes,71.18,1964.0,5.85,40654.0,0.85,80.9 +24181,Canada,2000,Influenza,Autoimmune,18.34,12.63,1.3,19-35,Other,871032,94.67,2.2,2.22,Surgery,10302.0,Yes,66.02,967.0,1.3,85006.0,0.88,64.64 +24191,Nigeria,2020,Leprosy,Metabolic,7.4,0.18,5.62,61+,Male,768881,83.84,1.35,0.94,Therapy,9694.0,Yes,67.76,1388.0,8.42,33895.0,0.45,62.02 +24196,India,2009,Ebola,Cardiovascular,1.79,3.14,6.68,36-60,Male,695418,89.23,4.92,8.48,Surgery,18844.0,No,82.12,483.0,6.99,18141.0,0.75,36.12 +24205,UK,2005,Hypertension,Viral,12.18,10.53,7.16,19-35,Other,235397,91.2,3.33,9.79,Medication,44930.0,Yes,59.47,2781.0,7.6,98945.0,0.58,46.35 +24209,Indonesia,2001,Measles,Chronic,8.64,1.62,2.92,36-60,Male,990258,73.57,1.61,4.4,Medication,25942.0,Yes,66.76,481.0,7.14,9002.0,0.51,40.54 +24217,Russia,2004,Zika,Infectious,4.47,3.63,6.84,0-18,Other,35096,79.67,1.71,1.1,Surgery,12865.0,No,51.12,3539.0,9.48,5226.0,0.47,57.78 +24223,Japan,2019,Cholera,Parasitic,12.64,0.21,0.22,0-18,Female,808856,93.66,4.88,8.67,Surgery,44495.0,Yes,95.96,1595.0,2.01,39183.0,0.78,70.17 +24225,China,2017,Ebola,Bacterial,1.01,12.95,7.55,19-35,Other,733941,50.05,0.71,5.7,Vaccination,12989.0,No,54.52,4824.0,2.84,53129.0,0.87,37.84 +24236,UK,2014,Diabetes,Metabolic,7.38,13.35,8.19,19-35,Male,798493,60.35,0.63,7.5,Therapy,16087.0,No,62.47,3471.0,9.12,45673.0,0.46,52.82 +24238,India,2009,Cholera,Infectious,9.78,3.71,6.44,61+,Male,723276,67.03,3.01,0.8,Surgery,27303.0,Yes,68.0,4331.0,3.6,53046.0,0.81,49.35 +24241,Nigeria,2014,Cholera,Infectious,15.26,0.16,4.02,0-18,Male,242030,58.93,3.62,6.98,Medication,49765.0,No,69.66,2352.0,0.3,47818.0,0.6,38.22 +24256,India,2012,Cholera,Chronic,1.99,11.72,3.17,61+,Male,665305,86.77,1.48,1.06,Surgery,4202.0,No,88.76,1890.0,2.58,6435.0,0.55,54.03 +24263,South Korea,2017,COVID-19,Cardiovascular,1.76,12.36,8.84,36-60,Female,212113,61.38,1.42,6.06,Medication,21991.0,No,80.47,95.0,9.47,12806.0,0.79,75.48 +24264,Brazil,2022,Cholera,Parasitic,1.71,8.89,2.24,61+,Male,319675,81.15,0.71,8.57,Vaccination,16900.0,No,94.65,2818.0,8.91,19168.0,0.62,23.91 +24267,France,2017,Influenza,Respiratory,7.37,5.15,9.84,0-18,Female,558625,92.77,2.61,5.28,Vaccination,4407.0,No,80.66,4167.0,2.65,39427.0,0.66,52.05 +24269,Germany,2019,Asthma,Parasitic,1.57,14.62,2.76,36-60,Other,475092,77.21,1.95,0.52,Medication,13801.0,Yes,72.54,798.0,0.25,74025.0,0.88,70.73 +24279,China,2001,COVID-19,Infectious,2.46,10.79,7.97,36-60,Other,840655,53.6,2.66,2.28,Therapy,9460.0,Yes,60.35,3558.0,0.84,45089.0,0.63,44.54 +24286,Nigeria,2012,Measles,Neurological,10.71,14.36,2.36,61+,Other,906374,78.84,4.88,6.69,Vaccination,8324.0,Yes,85.97,4864.0,2.34,73013.0,0.49,64.27 +24289,India,2014,Dengue,Bacterial,15.0,2.33,3.51,0-18,Other,644705,72.43,1.23,8.34,Surgery,22573.0,Yes,87.72,1270.0,6.21,38345.0,0.6,76.93 +24290,South Korea,2016,Measles,Genetic,13.47,11.57,1.88,61+,Other,823255,91.28,4.08,2.67,Surgery,43625.0,Yes,97.15,414.0,9.83,75804.0,0.75,28.11 +24293,Canada,2013,Cholera,Autoimmune,12.94,5.31,2.87,61+,Other,90665,92.38,0.7,2.35,Therapy,765.0,No,87.46,2604.0,2.4,69897.0,0.52,61.19 +24297,Japan,2008,Measles,Neurological,6.93,3.42,5.62,61+,Female,907434,80.64,0.98,5.78,Vaccination,33786.0,Yes,60.26,4054.0,8.91,64902.0,0.9,61.3 +24304,Nigeria,2015,Measles,Genetic,3.64,1.58,6.95,36-60,Other,663602,69.7,4.67,2.77,Therapy,9274.0,Yes,92.62,4575.0,9.24,86586.0,0.47,83.86 +24309,Australia,2013,Leprosy,Metabolic,11.2,6.03,7.03,36-60,Female,281429,60.96,2.8,1.4,Therapy,40220.0,No,78.35,1087.0,0.77,30635.0,0.85,47.71 +24311,Canada,2005,Dengue,Viral,0.93,14.31,2.13,36-60,Other,16769,87.13,1.67,3.83,Surgery,25108.0,No,87.91,3387.0,0.54,42186.0,0.53,41.89 +24315,Brazil,2012,Zika,Metabolic,16.9,10.33,4.21,19-35,Female,497861,89.16,1.41,9.89,Therapy,27206.0,No,52.53,4835.0,6.97,76506.0,0.62,62.72 +24320,UK,2004,Hepatitis,Metabolic,0.84,5.2,4.7,19-35,Male,481039,76.64,2.38,9.34,Vaccination,47058.0,Yes,88.91,1535.0,3.73,8080.0,0.63,23.78 +24323,Argentina,2005,Ebola,Autoimmune,18.15,2.05,9.71,0-18,Female,890950,74.03,1.02,3.36,Vaccination,41625.0,No,86.33,4244.0,6.73,77639.0,0.65,74.6 +24346,Indonesia,2016,Parkinson's Disease,Bacterial,10.46,2.25,3.27,0-18,Other,993097,81.96,4.58,6.52,Vaccination,12330.0,Yes,71.58,833.0,4.2,63890.0,0.87,86.59 +24351,Mexico,2005,Alzheimer's Disease,Cardiovascular,14.97,4.56,2.67,61+,Other,812936,54.38,2.31,7.47,Medication,43576.0,No,59.4,3075.0,9.5,31098.0,0.5,68.2 +24355,Argentina,2004,Diabetes,Genetic,12.15,7.48,0.86,0-18,Male,608040,59.93,0.73,7.6,Therapy,8867.0,Yes,64.5,3262.0,8.13,5786.0,0.49,35.78 +24358,Japan,2014,Hypertension,Viral,18.64,4.65,1.02,36-60,Other,630913,80.69,4.99,5.57,Medication,4771.0,Yes,65.41,1048.0,4.42,50029.0,0.45,84.01 +24360,Nigeria,2006,HIV/AIDS,Genetic,0.55,8.98,5.71,36-60,Male,173543,84.38,1.32,2.74,Surgery,13586.0,Yes,69.48,1488.0,4.04,61874.0,0.87,47.21 +24371,Canada,2004,Tuberculosis,Chronic,13.47,3.24,8.44,36-60,Other,833174,66.59,4.09,6.82,Medication,40952.0,No,61.11,4150.0,7.59,68092.0,0.72,29.91 +24375,France,2014,Asthma,Neurological,18.21,14.79,7.1,61+,Female,360568,60.53,4.81,4.49,Surgery,30512.0,Yes,61.23,3390.0,9.92,32990.0,0.55,60.17 +24382,Italy,2009,Hepatitis,Cardiovascular,15.15,1.52,7.96,36-60,Other,989075,97.16,2.97,6.88,Surgery,15560.0,Yes,90.37,2156.0,4.63,49213.0,0.75,39.13 +24383,Brazil,2012,Dengue,Bacterial,15.56,14.53,6.83,36-60,Female,466545,92.23,1.26,8.19,Therapy,48410.0,No,97.54,227.0,6.16,1419.0,0.5,56.0 +24384,France,2003,Rabies,Autoimmune,6.3,12.16,4.02,0-18,Other,453914,98.61,3.54,6.67,Therapy,18268.0,Yes,53.23,2626.0,7.05,23593.0,0.53,39.46 +24385,USA,2001,Polio,Parasitic,3.96,9.72,8.09,0-18,Female,442944,95.86,4.63,1.42,Therapy,39473.0,Yes,64.37,3106.0,0.49,85404.0,0.69,42.86 +24390,Australia,2011,Parkinson's Disease,Chronic,2.62,13.19,0.64,0-18,Other,253253,87.91,3.94,3.16,Therapy,436.0,Yes,89.6,4178.0,4.36,27821.0,0.88,23.73 +24392,Japan,2003,Polio,Chronic,16.14,12.43,3.99,36-60,Male,593425,59.44,3.34,5.32,Vaccination,4796.0,Yes,77.48,2448.0,1.92,96681.0,0.82,35.21 +24400,South Africa,2007,Zika,Metabolic,1.37,9.25,6.95,0-18,Other,289124,85.64,2.59,2.77,Medication,10354.0,No,66.7,4074.0,9.4,35095.0,0.79,38.09 +24403,Saudi Arabia,2000,HIV/AIDS,Viral,10.28,9.36,2.55,0-18,Male,56009,68.69,1.01,4.47,Vaccination,26427.0,No,88.66,4330.0,2.38,84437.0,0.56,49.97 +24404,Saudi Arabia,2019,Influenza,Parasitic,6.41,0.17,3.05,19-35,Female,501031,82.37,0.77,5.7,Surgery,30375.0,Yes,82.89,3363.0,9.26,35139.0,0.5,25.83 +24410,Turkey,2004,Malaria,Metabolic,15.87,14.01,3.88,36-60,Female,594362,50.36,3.39,9.97,Vaccination,12523.0,No,54.19,2498.0,5.35,28924.0,0.61,34.34 +24427,USA,2003,Influenza,Metabolic,12.08,5.9,3.6,0-18,Other,639141,63.72,3.57,5.78,Vaccination,24242.0,Yes,77.68,3161.0,8.47,65405.0,0.87,50.01 +24430,Russia,2008,Zika,Metabolic,17.34,10.15,4.76,0-18,Other,744280,70.8,3.31,1.88,Surgery,13030.0,Yes,76.19,1538.0,7.0,38786.0,0.82,83.05 +24431,South Africa,2001,Influenza,Genetic,19.98,8.28,1.52,36-60,Female,963928,77.49,1.39,1.55,Surgery,32738.0,Yes,77.94,1945.0,0.24,13564.0,0.45,88.27 +24432,Turkey,2008,Influenza,Neurological,5.39,4.65,9.8,19-35,Female,346758,86.97,3.11,6.91,Surgery,22777.0,No,71.42,1062.0,8.99,91552.0,0.65,62.5 +24436,Italy,2010,Cancer,Neurological,2.09,11.88,6.13,0-18,Other,329079,97.77,2.56,4.0,Surgery,7428.0,Yes,78.4,780.0,2.95,10509.0,0.76,25.88 +24438,Argentina,2004,Cancer,Viral,14.04,2.73,0.82,19-35,Female,92211,86.01,4.69,8.24,Surgery,38817.0,Yes,66.64,2396.0,1.73,63939.0,0.47,78.74 +24439,Brazil,2023,Hypertension,Metabolic,13.64,1.77,1.77,36-60,Other,124949,82.44,4.28,8.92,Vaccination,29123.0,No,71.6,1027.0,3.88,15801.0,0.74,22.39 +24445,Turkey,2022,Parkinson's Disease,Genetic,9.98,2.67,2.75,61+,Male,58490,50.11,3.01,2.69,Therapy,27932.0,No,75.76,3055.0,9.37,19931.0,0.48,52.65 +24448,Australia,2009,Influenza,Respiratory,2.37,0.92,6.67,61+,Female,815419,76.75,4.08,0.71,Surgery,16165.0,Yes,67.45,4269.0,3.43,49863.0,0.4,30.79 +24453,Nigeria,2006,Malaria,Chronic,2.41,7.83,0.69,0-18,Male,65759,99.89,3.17,2.61,Vaccination,228.0,Yes,52.1,552.0,7.9,43509.0,0.45,42.49 +24456,France,2021,Tuberculosis,Genetic,17.95,0.18,4.82,36-60,Male,644597,50.36,4.84,3.5,Therapy,34273.0,Yes,71.92,3117.0,2.17,60884.0,0.48,21.25 +24458,Italy,2002,Hypertension,Autoimmune,19.36,2.02,3.2,19-35,Male,52661,79.3,4.78,1.87,Therapy,19386.0,No,86.35,4546.0,2.13,39872.0,0.5,59.78 +24466,Australia,2020,Asthma,Viral,18.52,12.01,5.27,36-60,Male,961550,76.07,1.01,6.35,Surgery,30730.0,No,65.1,4286.0,6.85,63198.0,0.62,76.83 +24469,Germany,2024,Malaria,Chronic,4.44,9.37,6.14,0-18,Female,466969,75.0,3.58,1.49,Vaccination,27870.0,No,65.93,579.0,6.39,1353.0,0.6,67.35 +24471,USA,2004,Asthma,Chronic,15.47,11.84,8.29,61+,Male,550919,80.96,0.55,0.91,Surgery,2801.0,No,55.21,599.0,7.14,47934.0,0.41,49.03 +24477,Japan,2023,Asthma,Autoimmune,8.35,10.73,4.24,19-35,Male,903060,84.97,3.52,2.59,Surgery,21316.0,Yes,82.2,3958.0,1.51,62803.0,0.72,43.93 +24478,Nigeria,2017,Cancer,Viral,3.45,3.1,7.66,61+,Other,854522,52.45,4.58,7.45,Surgery,38247.0,No,95.83,124.0,5.71,64965.0,0.84,78.65 +24479,France,2018,COVID-19,Genetic,4.22,12.54,9.81,0-18,Other,272040,79.3,3.57,1.0,Vaccination,13833.0,Yes,54.97,981.0,2.66,39625.0,0.43,41.06 +24481,South Korea,2014,Diabetes,Cardiovascular,3.94,0.14,2.79,61+,Female,327379,51.15,1.25,3.49,Vaccination,20781.0,Yes,89.96,1082.0,9.31,47743.0,0.47,56.54 +24488,China,2008,Diabetes,Bacterial,13.62,8.3,4.7,61+,Female,578701,72.53,3.37,2.31,Vaccination,4830.0,No,98.88,2262.0,6.07,48005.0,0.62,62.98 +24489,China,2021,Polio,Infectious,14.96,9.53,7.6,0-18,Male,532432,55.67,1.28,4.28,Medication,48198.0,Yes,90.69,4855.0,4.12,95079.0,0.89,36.98 +24501,South Africa,2024,Alzheimer's Disease,Metabolic,10.28,14.62,6.24,61+,Other,843115,57.02,2.64,8.8,Therapy,4846.0,Yes,52.67,3327.0,7.55,56450.0,0.43,56.89 +24503,UK,2007,Rabies,Cardiovascular,2.04,14.22,3.12,19-35,Female,675706,63.8,2.38,9.81,Surgery,48324.0,Yes,67.62,2993.0,4.76,98589.0,0.81,77.76 +24509,Mexico,2018,Alzheimer's Disease,Neurological,13.83,7.87,5.74,0-18,Male,833563,86.13,1.26,6.68,Surgery,36483.0,Yes,66.06,135.0,4.94,10746.0,0.74,44.93 +24516,Turkey,2013,Tuberculosis,Cardiovascular,10.62,13.5,7.01,19-35,Other,22676,57.34,1.85,2.81,Therapy,19524.0,Yes,65.39,3233.0,0.84,54545.0,0.89,77.96 +24519,Russia,2023,Tuberculosis,Autoimmune,5.47,13.93,3.02,61+,Female,37239,50.52,2.92,5.45,Vaccination,44187.0,Yes,56.74,3433.0,3.96,42720.0,0.76,56.53 +24524,Mexico,2000,Hepatitis,Chronic,5.31,11.72,8.66,61+,Male,686869,99.31,1.89,1.94,Therapy,12546.0,Yes,70.02,3521.0,6.61,16395.0,0.66,40.81 +24527,UK,2003,Diabetes,Bacterial,5.15,1.24,6.0,19-35,Female,778629,65.42,4.27,5.38,Therapy,40100.0,Yes,61.68,662.0,7.81,85333.0,0.85,63.25 +24536,Saudi Arabia,2023,Zika,Chronic,18.43,8.65,2.75,61+,Female,617530,53.66,1.28,0.59,Therapy,1658.0,No,71.16,2526.0,5.14,21673.0,0.45,60.52 +24540,South Korea,2020,Asthma,Parasitic,7.69,11.56,4.04,0-18,Female,714251,65.02,3.34,8.0,Medication,19589.0,No,72.04,464.0,1.01,17359.0,0.68,71.82 +24550,Indonesia,2004,Influenza,Genetic,4.5,6.94,3.14,19-35,Other,365920,73.92,4.06,3.06,Therapy,21513.0,Yes,57.23,1372.0,1.47,23059.0,0.86,27.36 +24552,China,2023,Zika,Viral,17.75,11.84,1.64,0-18,Other,161115,60.76,2.38,0.59,Therapy,42002.0,Yes,89.13,691.0,1.82,39273.0,0.66,36.43 +24557,Turkey,2017,Asthma,Cardiovascular,16.62,10.0,9.89,36-60,Male,591618,51.56,4.48,5.4,Surgery,608.0,Yes,79.2,3387.0,8.07,78755.0,0.77,74.58 +24564,UK,2004,Asthma,Bacterial,12.87,5.62,4.97,0-18,Other,850915,97.99,2.61,9.74,Vaccination,36620.0,Yes,85.44,511.0,4.12,56553.0,0.52,22.65 +24566,South Korea,2023,COVID-19,Metabolic,8.02,1.36,8.53,0-18,Male,239368,61.1,3.25,8.0,Surgery,41834.0,No,54.45,1673.0,9.72,50339.0,0.65,84.51 +24570,China,2022,HIV/AIDS,Infectious,11.35,6.27,9.45,36-60,Other,204701,74.8,3.22,6.39,Surgery,21328.0,Yes,87.58,1269.0,2.68,31304.0,0.72,35.44 +24576,Turkey,2016,Rabies,Metabolic,18.26,11.91,6.88,19-35,Male,619399,81.18,4.15,5.25,Vaccination,43004.0,No,66.81,4906.0,2.22,31813.0,0.81,75.5 +24582,Mexico,2002,Diabetes,Cardiovascular,13.36,2.15,6.53,19-35,Female,475708,83.37,3.92,8.49,Vaccination,4420.0,No,64.19,1584.0,0.35,18536.0,0.51,20.72 +24588,Brazil,2016,Cancer,Parasitic,18.82,4.38,8.31,61+,Male,543423,87.01,4.45,5.03,Medication,27497.0,No,82.87,2869.0,6.22,41913.0,0.65,28.7 +24599,South Africa,2023,Cholera,Parasitic,4.68,2.78,1.51,61+,Other,671700,74.78,2.54,8.14,Medication,6976.0,Yes,67.4,883.0,5.08,25432.0,0.7,23.15 +24602,Indonesia,2019,Hepatitis,Cardiovascular,13.06,2.37,5.08,61+,Female,561232,65.04,4.25,7.49,Surgery,6521.0,No,53.78,4512.0,9.77,60761.0,0.77,33.14 +24609,China,2013,Hypertension,Chronic,17.7,13.97,5.72,36-60,Other,593408,57.1,3.03,9.24,Vaccination,39838.0,Yes,89.05,1773.0,6.14,36228.0,0.88,71.74 +24610,France,2004,Polio,Neurological,18.91,3.86,5.31,36-60,Other,327049,94.59,3.77,9.28,Medication,20723.0,No,76.36,249.0,5.49,29759.0,0.83,25.29 +24613,Russia,2000,Tuberculosis,Chronic,4.7,0.71,7.08,0-18,Other,722821,69.46,4.86,1.38,Medication,7464.0,No,71.89,2679.0,6.95,90656.0,0.52,71.26 +24614,France,2023,Diabetes,Respiratory,1.09,3.79,1.65,61+,Other,220135,61.22,1.89,8.76,Therapy,25340.0,No,92.54,1850.0,4.9,47201.0,0.6,77.7 +24624,Brazil,2020,Polio,Genetic,0.76,2.15,4.62,0-18,Other,252053,95.32,0.85,1.87,Therapy,40321.0,Yes,55.56,1568.0,3.96,81130.0,0.78,74.04 +24625,Australia,2021,Alzheimer's Disease,Respiratory,11.79,13.48,3.67,0-18,Male,48518,83.86,1.6,4.62,Medication,41329.0,Yes,68.66,4878.0,8.44,58066.0,0.43,88.54 +24632,Russia,2011,Leprosy,Chronic,3.32,6.49,6.35,19-35,Male,196108,69.34,1.49,1.93,Vaccination,35363.0,Yes,81.6,2021.0,1.88,64161.0,0.69,58.89 +24635,Russia,2006,Malaria,Bacterial,16.91,13.43,8.37,0-18,Female,200297,83.26,3.89,3.28,Therapy,20750.0,No,86.76,2967.0,9.67,77911.0,0.53,69.73 +24639,Turkey,2011,Parkinson's Disease,Respiratory,15.15,11.6,0.75,61+,Male,47658,57.33,2.76,2.32,Medication,41263.0,Yes,63.98,1977.0,0.85,65476.0,0.77,60.11 +24640,Canada,2012,Ebola,Chronic,3.17,13.93,2.64,0-18,Female,115754,88.34,1.94,3.21,Surgery,49372.0,Yes,91.44,2572.0,0.36,88368.0,0.75,77.39 +24641,Saudi Arabia,2013,Cholera,Infectious,5.32,9.38,4.99,36-60,Female,582662,82.65,1.78,6.69,Vaccination,49367.0,Yes,73.23,2443.0,7.34,91902.0,0.56,25.22 +24651,Japan,2008,Parkinson's Disease,Respiratory,1.58,13.89,9.53,19-35,Female,842521,73.22,2.91,6.94,Vaccination,46966.0,No,55.31,931.0,5.12,51773.0,0.75,34.19 +24676,India,2008,Diabetes,Neurological,3.52,6.47,2.61,0-18,Other,956310,99.67,4.16,4.2,Therapy,33826.0,No,91.87,3809.0,7.12,28186.0,0.48,68.1 +24677,Argentina,2000,Zika,Respiratory,8.33,1.96,0.14,61+,Male,833714,71.09,1.87,5.02,Vaccination,38878.0,Yes,83.68,2070.0,5.0,70852.0,0.57,61.39 +24678,Mexico,2004,Influenza,Genetic,14.67,4.83,6.27,19-35,Other,638109,99.9,1.05,5.06,Surgery,28054.0,No,72.88,2136.0,6.8,59495.0,0.59,42.53 +24685,Argentina,2019,Polio,Metabolic,9.42,14.0,9.75,19-35,Male,187858,83.54,1.84,9.82,Medication,13496.0,No,84.18,2907.0,2.05,81394.0,0.82,29.48 +24687,Japan,2016,Leprosy,Bacterial,9.64,13.15,3.0,19-35,Male,596490,81.61,1.13,3.23,Medication,37809.0,No,91.26,1846.0,9.71,33631.0,0.81,34.71 +24689,USA,2014,Cholera,Viral,18.15,1.31,6.96,0-18,Male,502040,89.63,2.47,3.01,Medication,20838.0,Yes,55.43,4836.0,9.15,32793.0,0.76,70.15 +24694,Canada,2012,Asthma,Respiratory,12.2,6.45,8.67,19-35,Other,162708,50.5,2.12,1.98,Medication,36741.0,No,89.49,2593.0,5.41,77070.0,0.69,83.11 +24696,South Korea,2003,COVID-19,Chronic,19.95,1.01,8.61,19-35,Male,800211,50.44,1.53,4.47,Surgery,38228.0,No,62.62,2805.0,6.51,66224.0,0.4,79.77 +24699,Indonesia,2016,Rabies,Parasitic,9.55,5.94,5.86,0-18,Female,975136,91.81,1.53,2.84,Surgery,36884.0,Yes,64.16,716.0,3.92,68823.0,0.4,29.54 +24702,Nigeria,2006,Ebola,Infectious,11.72,4.8,5.2,0-18,Male,620992,90.5,2.19,4.04,Medication,23081.0,No,69.71,4422.0,4.9,85100.0,0.58,73.11 +24706,Japan,2005,Leprosy,Viral,0.26,1.62,3.75,36-60,Female,511235,99.31,1.83,8.15,Surgery,45639.0,Yes,89.93,2753.0,5.59,92037.0,0.76,79.2 +24713,Russia,2015,Rabies,Respiratory,14.74,13.62,9.33,61+,Other,481988,56.25,1.47,1.33,Vaccination,11077.0,Yes,61.09,3916.0,6.97,84444.0,0.74,28.0 +24717,Nigeria,2009,Leprosy,Parasitic,17.11,10.29,3.06,0-18,Other,609305,77.5,0.62,9.77,Medication,15936.0,No,77.43,1179.0,8.75,19465.0,0.87,75.69 +24719,Argentina,2008,Leprosy,Infectious,7.31,14.0,5.41,0-18,Male,363990,95.52,4.02,4.28,Vaccination,23921.0,No,80.7,992.0,2.44,78246.0,0.54,46.57 +24727,USA,2000,Zika,Respiratory,13.79,13.71,5.07,0-18,Female,283540,69.27,2.54,9.7,Vaccination,43379.0,No,70.81,3722.0,6.49,15645.0,0.74,62.95 +24730,Russia,2002,Ebola,Genetic,2.12,12.06,9.62,61+,Female,685666,60.03,2.67,1.58,Surgery,47371.0,No,71.79,2738.0,7.03,38349.0,0.42,43.6 +24732,Indonesia,2015,Cholera,Infectious,7.47,3.98,8.85,0-18,Other,951474,91.92,1.99,9.41,Vaccination,48614.0,No,82.21,2117.0,2.53,19113.0,0.7,58.57 +24734,Italy,2009,Zika,Bacterial,19.79,13.51,6.66,36-60,Female,360532,72.13,0.86,5.31,Vaccination,46071.0,Yes,88.62,4866.0,7.02,86889.0,0.82,33.98 +24739,USA,2017,Dengue,Bacterial,16.5,12.08,2.87,36-60,Other,679616,51.37,3.95,7.8,Surgery,30762.0,Yes,81.81,4931.0,4.72,62542.0,0.54,83.91 +24740,South Korea,2000,Hypertension,Autoimmune,16.98,0.77,3.19,61+,Male,154473,61.34,3.05,1.93,Surgery,47403.0,No,77.05,1114.0,4.61,3177.0,0.68,88.17 +24741,Saudi Arabia,2014,Hypertension,Viral,1.76,5.18,2.73,19-35,Male,442230,50.51,1.27,2.7,Vaccination,30032.0,No,77.04,3205.0,4.27,60101.0,0.82,43.74 +24747,Germany,2001,Leprosy,Autoimmune,1.03,7.39,1.51,19-35,Other,663932,67.35,1.96,0.92,Medication,29986.0,No,73.5,1179.0,2.98,50816.0,0.54,73.53 +24748,Australia,2012,Diabetes,Autoimmune,12.95,12.51,5.05,36-60,Other,734483,86.04,1.43,2.41,Therapy,47914.0,Yes,85.51,4521.0,5.14,18781.0,0.69,56.38 +24749,South Korea,2017,Cholera,Chronic,1.37,12.98,6.68,61+,Male,362170,82.49,1.66,4.93,Medication,30796.0,No,58.3,3530.0,8.48,97706.0,0.74,54.09 +24751,France,2002,Parkinson's Disease,Bacterial,18.56,9.42,2.88,0-18,Other,362861,88.53,0.56,3.78,Medication,17277.0,No,57.24,3658.0,0.13,27212.0,0.8,25.4 +24762,UK,2024,HIV/AIDS,Chronic,5.93,12.95,1.84,19-35,Female,577660,80.69,4.39,1.56,Vaccination,719.0,Yes,65.73,1591.0,3.47,30492.0,0.83,31.91 +24768,Australia,2016,COVID-19,Infectious,8.3,14.18,0.19,36-60,Male,6886,67.67,4.41,4.12,Vaccination,43032.0,No,91.92,3679.0,3.59,88299.0,0.75,68.08 +24769,Argentina,2006,Polio,Genetic,2.21,5.28,6.7,19-35,Male,272875,54.0,3.9,9.27,Therapy,11398.0,Yes,53.95,3640.0,1.95,57995.0,0.44,86.93 +24779,USA,2022,Dengue,Autoimmune,11.72,7.25,7.54,19-35,Other,215664,56.54,4.34,7.76,Medication,17902.0,No,61.55,3727.0,7.35,61450.0,0.65,65.97 +24790,Canada,2020,Leprosy,Neurological,9.63,12.51,4.06,61+,Male,94246,52.56,1.74,1.81,Surgery,30772.0,No,60.5,1656.0,7.5,50793.0,0.72,37.66 +24796,Germany,2011,Cholera,Autoimmune,1.59,12.33,9.82,0-18,Male,568310,71.09,4.1,1.13,Therapy,1908.0,No,80.83,2252.0,7.84,9337.0,0.65,55.24 +24800,Australia,2019,Rabies,Cardiovascular,7.57,8.06,4.98,0-18,Female,907645,58.02,1.91,6.59,Vaccination,21263.0,Yes,96.3,4023.0,7.82,74136.0,0.81,69.81 +24816,Brazil,2024,Rabies,Chronic,18.0,13.61,4.27,19-35,Female,335609,80.77,4.04,5.97,Therapy,24555.0,Yes,56.67,4521.0,8.5,48702.0,0.7,40.03 +24821,India,2018,Leprosy,Neurological,11.75,4.65,9.44,61+,Female,27612,68.24,3.2,8.49,Surgery,32503.0,No,86.83,487.0,6.8,45708.0,0.85,33.08 +24822,Turkey,2008,Hepatitis,Chronic,0.16,2.41,8.96,61+,Female,661196,88.17,1.68,2.09,Therapy,29076.0,No,74.23,2481.0,7.7,77480.0,0.41,44.28 +24825,Mexico,2012,Cholera,Infectious,2.94,5.7,8.06,0-18,Male,302660,92.18,1.65,8.81,Vaccination,16441.0,Yes,93.01,3932.0,6.32,84006.0,0.76,80.53 +24832,UK,2007,Hepatitis,Autoimmune,6.08,8.05,1.97,0-18,Female,713738,78.47,2.56,4.74,Medication,8083.0,No,92.48,3426.0,1.82,76547.0,0.59,74.42 +24840,Germany,2017,Asthma,Respiratory,10.13,5.92,6.85,61+,Other,523923,87.8,3.69,9.25,Medication,33610.0,No,69.38,2695.0,1.49,65658.0,0.62,38.74 +24844,Germany,2003,Dengue,Autoimmune,10.74,3.71,9.89,19-35,Female,329158,81.04,4.33,7.21,Therapy,1288.0,Yes,53.49,4383.0,5.69,24856.0,0.44,66.24 +24847,Italy,2009,Asthma,Infectious,17.71,2.66,6.04,36-60,Other,178535,56.49,1.48,4.76,Therapy,2180.0,Yes,86.04,2747.0,5.77,44756.0,0.76,35.95 +24856,Turkey,2008,Leprosy,Infectious,12.78,4.61,8.42,36-60,Other,700396,89.78,4.72,4.88,Surgery,5000.0,Yes,74.51,4384.0,8.37,46854.0,0.57,71.25 +24862,France,2007,Influenza,Metabolic,18.69,7.66,1.3,0-18,Male,891409,87.33,4.57,7.65,Therapy,10308.0,No,64.81,376.0,0.7,68484.0,0.42,39.7 +24863,Argentina,2001,Asthma,Viral,9.63,7.97,7.25,0-18,Female,929310,90.51,3.98,2.39,Vaccination,4008.0,Yes,95.86,4516.0,1.29,47540.0,0.85,40.51 +24867,Nigeria,2010,Leprosy,Chronic,16.58,13.77,3.51,36-60,Other,450212,56.58,2.43,9.63,Surgery,44163.0,Yes,66.66,2978.0,9.6,10514.0,0.83,77.03 +24875,South Korea,2016,Cancer,Parasitic,6.53,0.17,4.8,61+,Other,135033,91.75,2.96,0.82,Medication,28513.0,No,61.74,688.0,7.03,52457.0,0.8,66.06 +24878,Indonesia,2018,Alzheimer's Disease,Cardiovascular,2.1,7.56,2.8,36-60,Male,473570,96.69,1.05,1.22,Vaccination,21292.0,Yes,94.28,49.0,8.04,8074.0,0.45,36.92 +24883,Nigeria,2020,Tuberculosis,Metabolic,16.97,9.76,9.39,36-60,Female,283760,88.01,0.94,7.96,Vaccination,7315.0,No,55.0,843.0,7.67,5745.0,0.83,39.1 +24885,Russia,2000,Parkinson's Disease,Parasitic,19.88,2.57,6.44,0-18,Female,140990,98.21,3.38,2.11,Therapy,35469.0,No,87.63,3732.0,3.74,51064.0,0.51,73.05 +24888,Russia,2016,Asthma,Cardiovascular,16.14,4.55,4.99,0-18,Other,116626,71.53,0.85,2.27,Vaccination,45294.0,Yes,54.69,4709.0,2.09,56418.0,0.57,75.5 +24890,Indonesia,2014,Tuberculosis,Bacterial,9.01,9.21,0.74,19-35,Female,489204,85.14,2.73,6.05,Therapy,14384.0,Yes,92.03,2733.0,2.76,7207.0,0.46,22.53 +24897,Russia,2020,COVID-19,Neurological,15.35,1.79,6.43,0-18,Male,88313,64.5,2.8,1.99,Vaccination,11054.0,Yes,75.62,145.0,0.92,31337.0,0.42,79.67 +24914,Turkey,2004,Leprosy,Neurological,1.51,8.84,0.62,61+,Male,632989,94.4,1.87,9.27,Vaccination,24808.0,No,90.72,3967.0,2.24,25428.0,0.8,89.36 +24915,Indonesia,2022,Malaria,Respiratory,8.32,3.72,3.76,36-60,Male,848827,53.71,4.88,1.97,Therapy,43407.0,Yes,72.52,574.0,8.19,48036.0,0.75,60.11 +24924,Nigeria,2024,Influenza,Parasitic,17.83,11.11,8.68,0-18,Female,263597,80.3,0.95,4.26,Therapy,31853.0,Yes,91.73,2301.0,5.57,85173.0,0.56,47.7 +24928,Mexico,2023,Ebola,Metabolic,6.76,10.48,0.33,0-18,Female,670238,52.44,3.27,3.97,Medication,45311.0,No,55.9,151.0,2.86,59133.0,0.57,41.38 +24932,Argentina,2011,Measles,Chronic,5.31,11.32,5.54,0-18,Female,135496,99.52,1.48,2.37,Medication,32190.0,Yes,64.34,4043.0,8.14,35802.0,0.65,65.3 +24934,South Korea,2000,Alzheimer's Disease,Respiratory,1.19,10.91,5.21,61+,Female,336046,96.49,1.78,7.34,Therapy,16133.0,Yes,63.21,1262.0,9.08,94832.0,0.45,24.97 +24940,Nigeria,2020,Alzheimer's Disease,Metabolic,18.08,13.61,8.36,36-60,Other,775382,74.94,0.69,2.31,Medication,40068.0,No,53.24,3236.0,8.78,95058.0,0.87,82.84 +24943,Saudi Arabia,2016,COVID-19,Chronic,13.66,14.7,1.84,61+,Female,464996,63.06,3.04,6.9,Surgery,28279.0,Yes,71.39,3228.0,5.9,18662.0,0.82,41.16 +24945,South Korea,2017,Polio,Chronic,6.89,0.9,7.42,61+,Male,492070,64.13,4.3,3.16,Surgery,23037.0,Yes,62.44,3160.0,3.11,51710.0,0.84,67.27 +24956,Turkey,2024,Hepatitis,Cardiovascular,17.38,12.14,8.0,61+,Female,763108,82.99,3.02,3.34,Medication,13183.0,No,88.28,3383.0,7.73,88464.0,0.43,49.1 +24960,Canada,2004,Alzheimer's Disease,Chronic,2.93,8.72,0.51,19-35,Female,225696,51.58,1.64,2.24,Therapy,38580.0,Yes,83.63,2789.0,0.74,60296.0,0.83,48.14 +24966,Russia,2024,Ebola,Genetic,0.22,10.11,5.13,0-18,Other,188787,77.5,4.5,5.99,Therapy,22979.0,No,70.01,2538.0,0.41,47815.0,0.64,49.82 +24969,Indonesia,2019,Leprosy,Chronic,18.6,13.69,7.59,36-60,Female,159329,75.46,4.88,5.32,Vaccination,19053.0,No,78.17,104.0,0.63,18368.0,0.49,63.01 +24973,Italy,2007,Hypertension,Chronic,9.26,8.71,6.83,36-60,Female,750659,75.77,4.06,1.64,Surgery,28603.0,No,66.52,3037.0,6.41,54399.0,0.49,44.33 +24974,Germany,2015,Measles,Metabolic,11.66,0.97,2.85,0-18,Female,230063,57.42,4.76,5.73,Therapy,14964.0,No,66.87,782.0,5.88,19497.0,0.49,29.15 +24977,South Africa,2020,Hypertension,Parasitic,10.07,13.08,4.11,19-35,Male,429899,68.69,4.04,4.06,Medication,17882.0,Yes,54.6,3934.0,4.21,83762.0,0.76,87.65 +24988,Italy,2013,Hepatitis,Viral,12.08,4.39,8.01,19-35,Male,728201,80.49,3.12,2.92,Vaccination,45686.0,No,72.56,2539.0,8.86,95336.0,0.87,88.46 +24990,UK,2001,Rabies,Viral,11.26,14.0,5.38,0-18,Female,420876,90.98,3.29,1.29,Vaccination,20612.0,No,90.35,3401.0,3.32,8948.0,0.78,26.37 +25006,Nigeria,2018,COVID-19,Viral,12.67,12.18,3.47,0-18,Female,909567,52.66,1.81,5.81,Vaccination,8734.0,Yes,62.97,288.0,6.42,32733.0,0.87,69.35 +25028,South Africa,2023,Diabetes,Bacterial,13.42,2.41,2.54,19-35,Female,882710,94.48,1.04,9.49,Therapy,20274.0,Yes,67.81,4646.0,8.88,43566.0,0.47,56.01 +25031,Italy,2021,Polio,Neurological,10.72,13.84,6.11,19-35,Other,374895,60.96,1.32,7.61,Therapy,16773.0,Yes,98.45,1345.0,2.99,8205.0,0.85,29.91 +25033,Australia,2013,Cancer,Respiratory,18.12,9.91,4.45,61+,Other,286022,99.47,2.05,8.45,Surgery,6035.0,No,54.83,4107.0,5.73,6306.0,0.46,21.54 +25038,Nigeria,2008,Hypertension,Genetic,5.35,14.54,9.78,19-35,Female,44828,96.15,1.01,9.19,Therapy,12166.0,No,85.65,3640.0,4.52,62362.0,0.46,72.92 +25039,Germany,2014,Cholera,Autoimmune,18.02,4.3,2.03,36-60,Male,480930,62.51,3.74,3.21,Vaccination,46048.0,Yes,69.15,4934.0,4.28,2853.0,0.62,79.69 +25041,Australia,2007,Hepatitis,Bacterial,2.28,7.35,6.33,36-60,Female,387866,67.29,1.65,7.21,Vaccination,19692.0,No,77.27,1296.0,5.86,27518.0,0.53,67.0 +25049,Nigeria,2006,Malaria,Viral,6.7,14.95,2.88,61+,Female,95308,84.47,3.99,6.27,Therapy,34019.0,Yes,88.52,2631.0,5.07,16794.0,0.77,25.31 +25056,South Korea,2004,Hypertension,Infectious,16.22,10.22,2.98,0-18,Other,185162,77.39,0.96,4.34,Therapy,15354.0,Yes,91.72,4059.0,9.62,90727.0,0.72,79.42 +25057,Turkey,2020,Dengue,Parasitic,18.46,9.32,2.1,19-35,Female,680563,58.34,1.76,1.77,Medication,11630.0,Yes,81.93,4067.0,6.7,22942.0,0.74,86.6 +25071,Saudi Arabia,2002,Hypertension,Parasitic,10.75,11.48,1.01,36-60,Female,224375,99.13,4.57,5.12,Medication,35098.0,No,77.85,3931.0,1.8,82872.0,0.63,56.16 +25073,Brazil,2001,Malaria,Genetic,3.27,13.09,4.6,19-35,Male,42493,96.47,0.66,5.58,Medication,11201.0,No,63.31,1131.0,1.68,75838.0,0.67,55.35 +25078,Mexico,2023,Leprosy,Bacterial,7.13,8.85,7.44,61+,Female,251233,61.14,2.15,4.11,Medication,31437.0,Yes,94.96,2510.0,7.16,55475.0,0.69,78.89 +25080,South Africa,2024,Rabies,Autoimmune,13.45,7.22,6.68,36-60,Male,408062,57.37,4.15,3.94,Vaccination,4317.0,Yes,85.1,815.0,7.33,54763.0,0.41,74.55 +25086,Japan,2013,COVID-19,Respiratory,3.57,8.02,9.18,19-35,Other,80152,96.99,0.89,5.92,Medication,35372.0,Yes,53.24,3510.0,6.15,51807.0,0.65,57.31 +25088,Mexico,2003,Parkinson's Disease,Chronic,1.17,3.62,0.23,19-35,Male,970485,74.05,1.1,3.87,Medication,5173.0,No,87.96,4759.0,4.64,59486.0,0.54,26.46 +25093,Saudi Arabia,2009,Cancer,Metabolic,2.39,2.9,2.78,36-60,Male,893620,72.75,2.43,4.3,Surgery,8013.0,No,51.39,2708.0,4.48,58654.0,0.56,27.32 +25095,South Africa,2024,Cholera,Infectious,9.19,3.63,5.69,36-60,Male,373863,51.17,2.35,0.53,Therapy,14131.0,Yes,74.13,1555.0,4.65,32401.0,0.83,70.48 +25103,South Africa,2019,Cholera,Cardiovascular,7.42,5.56,3.48,61+,Other,703382,74.71,4.83,7.25,Therapy,23398.0,No,94.87,2161.0,5.56,82413.0,0.46,30.19 +25105,India,2007,Hypertension,Neurological,3.62,4.72,6.67,19-35,Other,903448,80.58,3.53,4.12,Vaccination,2699.0,No,83.46,4207.0,1.7,27086.0,0.89,80.64 +25106,Canada,2018,Polio,Viral,11.23,13.51,3.22,0-18,Male,337146,99.48,1.82,8.48,Medication,49694.0,No,94.47,3937.0,8.84,7781.0,0.86,60.54 +25113,Nigeria,2020,Cancer,Infectious,17.73,14.4,0.28,19-35,Female,843705,57.22,4.18,6.29,Medication,14717.0,Yes,74.09,3301.0,3.41,58126.0,0.59,36.05 +25116,USA,2012,Cancer,Metabolic,3.78,2.36,9.86,0-18,Female,925083,86.24,1.8,9.67,Vaccination,33705.0,Yes,86.97,53.0,5.76,90797.0,0.8,76.99 +25117,Mexico,2000,Diabetes,Neurological,0.91,0.22,6.83,61+,Other,399298,87.07,4.23,8.56,Vaccination,33339.0,Yes,96.46,4931.0,0.62,2410.0,0.79,77.42 +25121,Nigeria,2017,Ebola,Genetic,5.57,5.23,4.51,19-35,Female,811007,92.4,2.36,3.45,Medication,15209.0,Yes,64.47,3492.0,2.15,25917.0,0.61,20.9 +25129,China,2002,Diabetes,Neurological,7.71,9.86,4.14,0-18,Other,625349,90.43,3.02,2.35,Medication,22976.0,No,91.51,2774.0,4.87,82791.0,0.62,81.11 +25130,Turkey,2024,Measles,Chronic,8.63,13.39,6.25,0-18,Female,439760,60.19,1.95,3.89,Surgery,42238.0,Yes,90.84,4397.0,6.35,32499.0,0.88,48.18 +25138,Russia,2002,Parkinson's Disease,Autoimmune,19.93,6.53,6.2,0-18,Male,606022,56.37,0.57,1.45,Vaccination,9077.0,Yes,78.66,1226.0,5.6,19886.0,0.59,31.98 +25147,Russia,2013,Zika,Bacterial,7.97,2.07,2.77,36-60,Other,128487,60.49,2.2,7.23,Surgery,47428.0,No,80.9,2042.0,6.65,73402.0,0.59,51.51 +25151,Germany,2000,Cancer,Genetic,3.52,7.96,4.32,19-35,Male,107222,75.65,0.94,3.28,Surgery,38745.0,No,80.85,4625.0,2.94,47834.0,0.8,37.35 +25163,UK,2002,Malaria,Genetic,6.4,13.87,1.75,61+,Male,770058,64.08,3.53,1.58,Vaccination,37193.0,No,61.64,3193.0,6.43,92943.0,0.7,25.03 +25167,Saudi Arabia,2023,Diabetes,Cardiovascular,8.37,2.98,4.7,36-60,Male,869854,73.54,3.51,2.38,Vaccination,45383.0,No,69.21,4117.0,1.21,8643.0,0.69,44.99 +25169,Canada,2022,Diabetes,Chronic,16.69,10.36,8.12,36-60,Female,186496,65.95,2.12,1.59,Therapy,4056.0,No,73.29,3367.0,5.34,78680.0,0.61,45.29 +25173,Argentina,2023,COVID-19,Metabolic,18.8,8.87,2.2,0-18,Other,744393,73.44,3.45,3.11,Medication,31743.0,Yes,91.94,4635.0,1.57,93316.0,0.42,72.22 +25183,Indonesia,2000,Influenza,Respiratory,17.52,12.59,4.18,0-18,Other,615607,62.66,4.11,8.62,Vaccination,42812.0,No,86.65,284.0,8.37,18722.0,0.77,23.2 +25184,Mexico,2005,Leprosy,Bacterial,16.31,10.8,4.11,61+,Other,452864,93.52,4.41,9.69,Surgery,35082.0,No,68.21,128.0,0.78,6098.0,0.47,81.3 +25188,Indonesia,2015,Measles,Neurological,18.61,7.13,1.07,0-18,Male,661749,53.38,4.98,4.87,Surgery,16378.0,No,61.26,1958.0,0.02,85544.0,0.43,60.72 +25193,Mexico,2017,Hepatitis,Infectious,0.54,7.09,1.01,61+,Other,72264,66.91,2.92,5.46,Surgery,40509.0,No,54.25,4829.0,6.6,3574.0,0.58,44.33 +25196,Mexico,2010,Influenza,Metabolic,8.91,3.86,0.33,0-18,Other,570605,63.84,2.95,4.97,Surgery,10013.0,No,95.34,3570.0,8.95,69316.0,0.68,78.88 +25206,Italy,2005,HIV/AIDS,Metabolic,12.63,6.98,4.68,19-35,Male,549175,68.96,4.1,0.87,Medication,14415.0,Yes,96.72,567.0,2.28,73006.0,0.84,51.08 +25207,India,2021,Cholera,Viral,3.15,13.53,8.76,19-35,Other,917881,65.37,1.87,9.85,Medication,14713.0,No,54.07,1645.0,9.19,27745.0,0.5,63.54 +25215,Mexico,2017,Diabetes,Respiratory,9.71,10.08,3.52,61+,Female,202863,84.3,4.01,6.08,Surgery,36227.0,Yes,96.12,654.0,1.61,68654.0,0.78,55.94 +25224,Australia,2012,Cancer,Cardiovascular,13.73,2.33,5.0,36-60,Female,137076,61.74,0.84,4.77,Surgery,42898.0,Yes,57.36,2912.0,5.31,21946.0,0.47,74.3 +25228,Nigeria,2000,Ebola,Neurological,12.69,13.16,7.73,61+,Male,417645,62.55,2.75,7.04,Vaccination,19921.0,No,90.58,1737.0,9.62,43086.0,0.55,64.72 +25234,South Korea,2013,Zika,Viral,15.04,13.55,1.29,19-35,Other,618893,70.69,3.42,1.73,Medication,12641.0,No,81.2,2504.0,0.15,32905.0,0.61,77.72 +25246,Brazil,2020,Hypertension,Genetic,6.53,12.5,1.33,36-60,Female,917572,83.66,2.65,6.83,Medication,33346.0,Yes,55.65,2421.0,1.99,9462.0,0.44,49.09 +25248,Mexico,2010,Polio,Bacterial,17.18,5.48,2.3,0-18,Female,745198,94.26,2.55,1.9,Therapy,26535.0,No,93.6,4584.0,6.34,17936.0,0.66,40.03 +25250,Italy,2002,Parkinson's Disease,Respiratory,12.46,1.99,7.6,61+,Male,81559,61.73,1.3,3.84,Therapy,36700.0,No,52.06,3387.0,7.17,30970.0,0.51,77.3 +25252,Indonesia,2006,Rabies,Viral,2.91,11.21,4.83,19-35,Female,827924,54.77,2.91,3.44,Medication,42186.0,Yes,73.22,4161.0,7.42,98688.0,0.88,88.02 +25261,UK,2017,Hepatitis,Parasitic,16.83,1.09,8.65,61+,Male,864522,54.0,4.41,0.97,Surgery,43552.0,Yes,83.27,324.0,7.25,99113.0,0.53,88.26 +25265,USA,2014,Parkinson's Disease,Genetic,1.7,9.69,4.8,19-35,Other,451111,84.66,1.18,5.49,Surgery,8720.0,Yes,79.24,381.0,8.32,51522.0,0.54,31.17 +25269,India,2024,Tuberculosis,Neurological,9.1,11.56,3.05,19-35,Other,229635,74.28,2.74,4.7,Surgery,1817.0,Yes,66.88,3953.0,4.67,78129.0,0.45,87.89 +25271,South Africa,2012,Dengue,Chronic,0.22,12.58,1.64,36-60,Female,248586,55.75,2.02,9.54,Therapy,1760.0,No,64.48,1929.0,4.64,84343.0,0.8,59.25 +25272,Japan,2004,Rabies,Respiratory,15.23,0.14,9.91,36-60,Male,854278,52.91,4.56,2.71,Vaccination,35196.0,No,87.35,4707.0,8.03,38899.0,0.6,23.67 +25273,Mexico,2006,Hepatitis,Bacterial,4.57,8.36,3.59,36-60,Male,503068,72.86,3.09,8.58,Therapy,14629.0,No,83.01,2731.0,4.24,85927.0,0.77,89.69 +25276,Canada,2004,Alzheimer's Disease,Viral,12.02,12.91,3.82,36-60,Other,801458,63.22,0.57,3.64,Medication,46700.0,No,67.99,4022.0,5.58,99624.0,0.8,67.5 +25287,India,2006,Diabetes,Infectious,13.24,1.53,4.4,0-18,Female,838832,63.46,4.5,9.24,Medication,41373.0,Yes,75.71,1623.0,9.95,61302.0,0.89,48.06 +25291,Saudi Arabia,2008,Leprosy,Autoimmune,15.69,10.78,9.73,61+,Female,423419,87.3,2.99,7.95,Surgery,39638.0,Yes,84.27,4905.0,3.68,64557.0,0.42,78.14 +25293,South Africa,2015,Hepatitis,Infectious,1.39,3.13,5.46,36-60,Other,265479,71.83,2.6,4.82,Therapy,23583.0,Yes,98.22,2835.0,8.42,81261.0,0.7,38.56 +25299,Mexico,2016,Dengue,Respiratory,18.79,1.34,1.85,19-35,Other,259016,52.96,2.61,9.63,Vaccination,14878.0,Yes,92.5,867.0,4.27,8020.0,0.42,45.59 +25301,Australia,2017,Alzheimer's Disease,Cardiovascular,7.33,4.79,8.57,36-60,Other,227162,96.11,1.33,9.43,Therapy,3547.0,Yes,81.09,3248.0,9.34,18889.0,0.76,85.77 +25312,South Africa,2014,Rabies,Infectious,18.89,13.38,0.66,36-60,Female,442603,59.04,3.62,7.95,Medication,17950.0,No,68.41,4250.0,1.06,63618.0,0.68,89.81 +25322,Brazil,2001,Cholera,Metabolic,13.4,4.42,2.57,61+,Male,330277,56.78,3.5,9.31,Surgery,35658.0,No,97.94,2819.0,3.44,17602.0,0.47,29.77 +25333,Italy,2015,Zika,Respiratory,16.55,5.93,5.38,61+,Male,754258,99.48,3.93,1.14,Vaccination,49532.0,No,90.16,4310.0,4.48,85617.0,0.85,68.34 +25336,India,2000,Leprosy,Neurological,8.94,2.28,3.71,19-35,Female,489550,86.87,3.58,7.63,Therapy,23945.0,Yes,89.27,3374.0,1.68,29783.0,0.77,67.04 +25354,China,2005,Influenza,Bacterial,15.78,8.48,3.46,0-18,Other,647764,68.01,2.41,5.74,Therapy,5399.0,Yes,54.7,976.0,9.76,90907.0,0.73,20.33 +25355,Nigeria,2014,Tuberculosis,Autoimmune,4.68,8.85,5.67,61+,Male,850515,56.86,3.66,1.47,Surgery,9073.0,No,79.14,2465.0,5.19,90452.0,0.74,80.26 +25358,France,2023,COVID-19,Genetic,1.85,9.84,2.44,36-60,Other,515801,58.23,3.7,9.91,Vaccination,43849.0,No,90.01,2527.0,9.45,73999.0,0.75,63.43 +25366,South Korea,2008,HIV/AIDS,Parasitic,1.51,2.84,1.76,0-18,Female,937648,64.76,3.29,6.96,Medication,1284.0,Yes,51.42,889.0,5.62,27297.0,0.82,26.35 +25368,USA,2003,HIV/AIDS,Genetic,10.12,9.61,0.97,61+,Other,228589,98.56,3.61,5.54,Vaccination,14735.0,Yes,50.32,3380.0,9.11,90263.0,0.67,55.36 +25382,Nigeria,2005,Diabetes,Parasitic,12.5,5.03,2.3,61+,Male,703751,91.68,3.98,7.74,Therapy,35711.0,Yes,58.23,4305.0,0.72,23025.0,0.82,79.13 +25383,South Africa,2005,COVID-19,Infectious,0.95,11.3,9.54,61+,Male,19571,90.02,4.9,5.01,Surgery,3075.0,No,69.19,4706.0,5.0,8406.0,0.71,25.6 +25384,Australia,2014,Asthma,Autoimmune,4.0,14.4,6.26,36-60,Male,431878,81.13,3.23,4.12,Surgery,36640.0,Yes,98.34,4337.0,9.18,81073.0,0.84,31.24 +25385,UK,2008,Dengue,Autoimmune,9.82,12.88,1.94,61+,Female,139430,66.97,1.54,5.87,Medication,27810.0,Yes,51.62,4490.0,2.65,43040.0,0.71,71.67 +25395,Italy,2000,Zika,Autoimmune,1.6,1.21,0.74,61+,Male,742222,94.53,3.98,6.98,Therapy,4162.0,Yes,97.67,1649.0,0.83,39927.0,0.43,39.77 +25396,Nigeria,2008,Hepatitis,Chronic,0.52,2.51,5.81,61+,Other,29156,85.62,3.29,1.06,Surgery,37396.0,No,74.44,4116.0,0.51,85952.0,0.51,74.27 +25406,Nigeria,2001,Diabetes,Infectious,9.04,9.17,5.76,19-35,Female,664288,82.32,3.34,1.82,Vaccination,1702.0,Yes,86.8,957.0,1.41,56109.0,0.79,77.16 +25412,Saudi Arabia,2019,Malaria,Chronic,15.91,10.77,5.23,61+,Other,963875,82.19,3.58,9.57,Vaccination,27907.0,Yes,86.19,2890.0,4.52,95382.0,0.51,47.91 +25416,Nigeria,2014,Asthma,Parasitic,4.35,13.51,8.6,19-35,Female,862293,59.96,0.72,5.47,Surgery,26870.0,No,76.7,1796.0,5.4,11653.0,0.49,36.97 +25417,Nigeria,2017,Zika,Genetic,10.9,11.76,3.66,0-18,Male,390761,94.83,4.97,3.45,Surgery,37021.0,No,51.48,2440.0,5.83,1331.0,0.7,54.8 +25418,Italy,2024,Dengue,Parasitic,8.07,4.22,7.29,0-18,Male,344220,50.87,4.28,3.82,Vaccination,23500.0,No,59.75,1165.0,8.55,77581.0,0.88,58.27 +25428,Nigeria,2012,Hepatitis,Genetic,10.5,13.09,6.89,61+,Other,36941,58.52,1.98,5.59,Surgery,36428.0,Yes,60.83,1189.0,0.71,59158.0,0.42,60.95 +25429,Italy,2001,Cholera,Bacterial,17.28,4.26,6.53,61+,Male,971252,98.14,2.91,3.78,Surgery,10792.0,No,76.21,2756.0,8.85,75104.0,0.71,81.79 +25432,Italy,2011,Cancer,Infectious,8.2,12.0,6.29,19-35,Female,33073,94.42,4.87,9.16,Medication,9239.0,No,55.81,3327.0,3.05,92192.0,0.66,28.71 +25433,India,2024,Asthma,Respiratory,1.01,12.73,2.55,0-18,Other,955735,98.61,4.97,2.98,Vaccination,42378.0,No,73.97,1685.0,4.31,72421.0,0.54,47.35 +25443,Brazil,2017,Tuberculosis,Cardiovascular,7.43,11.0,8.71,61+,Other,863087,66.76,0.64,3.89,Therapy,44800.0,Yes,63.47,4239.0,4.49,54177.0,0.75,57.86 +25446,Mexico,2002,Malaria,Chronic,10.77,14.08,4.13,19-35,Male,660921,57.38,3.62,8.81,Surgery,26740.0,Yes,76.19,2730.0,8.09,22979.0,0.56,26.69 +25449,Australia,2013,Cholera,Metabolic,12.15,5.17,6.3,19-35,Female,446455,94.41,1.96,2.46,Therapy,199.0,No,50.32,944.0,7.31,11006.0,0.52,68.18 +25452,Indonesia,2010,Measles,Infectious,6.58,0.56,2.85,0-18,Female,981116,65.51,0.94,1.58,Surgery,2181.0,Yes,87.26,2146.0,7.62,97482.0,0.68,55.93 +25458,Indonesia,2024,Cholera,Cardiovascular,14.37,0.59,7.05,0-18,Male,196211,75.16,3.36,2.61,Therapy,16594.0,Yes,95.45,3923.0,4.73,19276.0,0.81,34.71 +25463,South Africa,2006,Zika,Viral,10.49,9.6,9.43,0-18,Other,778815,95.46,3.04,7.8,Therapy,12634.0,Yes,91.82,1891.0,0.13,49236.0,0.72,49.1 +25473,Australia,2001,Cancer,Cardiovascular,12.18,11.83,5.56,19-35,Female,981507,72.4,0.97,9.22,Therapy,40769.0,No,94.63,1089.0,0.25,62870.0,0.71,40.36 +25477,Brazil,2000,Zika,Infectious,8.88,12.38,0.39,19-35,Female,182556,92.84,1.26,4.36,Therapy,31885.0,Yes,51.61,3835.0,5.02,40174.0,0.75,67.5 +25483,Italy,2017,HIV/AIDS,Metabolic,13.3,8.22,2.53,61+,Other,601398,91.99,0.75,0.9,Therapy,19632.0,Yes,51.4,3141.0,2.55,71000.0,0.48,42.37 +25489,Indonesia,2014,Malaria,Autoimmune,5.17,5.29,8.27,0-18,Male,195724,63.28,4.54,0.73,Vaccination,34621.0,Yes,62.01,4078.0,9.14,56450.0,0.56,33.58 +25490,Nigeria,2022,Measles,Viral,9.84,14.3,0.86,61+,Female,208201,92.19,1.2,5.42,Medication,44884.0,Yes,88.26,3333.0,0.83,62535.0,0.53,78.24 +25495,USA,2007,Polio,Bacterial,1.14,13.48,6.07,36-60,Other,141478,61.19,1.43,5.73,Vaccination,10782.0,No,73.82,111.0,9.06,67666.0,0.43,23.15 +25496,Indonesia,2002,Diabetes,Chronic,5.11,14.78,7.12,36-60,Other,945183,69.47,0.83,6.67,Therapy,13920.0,Yes,94.58,2445.0,3.19,95449.0,0.59,74.97 +25499,Nigeria,2006,Polio,Genetic,2.54,14.98,9.54,61+,Male,797893,54.52,4.8,7.74,Medication,29114.0,No,70.94,653.0,6.58,70295.0,0.45,65.35 +25501,Italy,2004,Leprosy,Bacterial,17.25,7.19,9.78,36-60,Male,374795,67.35,3.3,6.21,Medication,43345.0,Yes,74.82,2222.0,3.38,44194.0,0.72,75.58 +25505,UK,2023,Hepatitis,Metabolic,15.73,3.57,2.02,61+,Male,901235,98.84,1.2,2.33,Surgery,41044.0,No,75.57,2200.0,3.93,34415.0,0.72,87.71 +25509,Australia,2014,Leprosy,Cardiovascular,1.98,13.04,8.65,36-60,Male,891747,78.8,2.22,1.46,Therapy,46441.0,Yes,89.76,484.0,4.94,14038.0,0.56,50.14 +25513,Japan,2018,COVID-19,Bacterial,9.43,5.08,8.84,36-60,Male,487155,92.22,3.75,7.14,Therapy,2965.0,No,84.56,1332.0,0.4,88172.0,0.9,55.13 +25517,Turkey,2000,Influenza,Parasitic,15.86,5.33,1.08,19-35,Male,383055,71.96,1.57,9.87,Medication,17892.0,No,89.43,4872.0,4.0,93332.0,0.52,27.44 +25518,UK,2023,Cholera,Infectious,1.27,1.13,4.57,0-18,Male,474681,58.78,0.99,2.96,Vaccination,38067.0,Yes,85.78,2351.0,2.13,62597.0,0.67,41.94 +25543,UK,2014,Measles,Viral,5.21,7.85,5.2,61+,Female,514876,70.43,3.55,5.13,Surgery,19448.0,Yes,95.59,2272.0,0.19,56527.0,0.83,59.59 +25545,USA,2008,Diabetes,Respiratory,18.71,6.75,4.17,0-18,Male,161107,86.28,1.43,6.52,Medication,39104.0,Yes,78.94,2249.0,3.6,1830.0,0.78,59.64 +25547,Germany,2001,Hypertension,Parasitic,15.58,4.44,1.22,36-60,Female,210240,50.53,2.26,2.95,Surgery,2511.0,Yes,89.18,2261.0,4.3,20370.0,0.41,79.55 +25550,Japan,2014,Ebola,Neurological,16.93,9.85,8.88,36-60,Female,91151,70.54,3.64,8.31,Vaccination,17721.0,Yes,50.59,2609.0,1.75,69837.0,0.7,89.02 +25558,Saudi Arabia,2005,Hypertension,Infectious,13.96,13.26,4.13,61+,Female,677105,85.47,2.43,6.46,Vaccination,33931.0,Yes,96.04,1953.0,0.05,17365.0,0.51,59.17 +25566,India,2005,Leprosy,Autoimmune,17.07,7.91,7.89,36-60,Female,211813,66.03,2.33,4.11,Vaccination,27087.0,No,69.54,3272.0,5.62,80286.0,0.74,43.61 +25573,Mexico,2015,Hepatitis,Viral,1.63,0.87,9.71,36-60,Female,710602,64.18,1.78,7.13,Therapy,29959.0,Yes,88.88,2338.0,5.22,15776.0,0.57,70.95 +25574,South Africa,2004,Hypertension,Chronic,2.76,7.46,8.92,36-60,Other,877911,51.02,1.79,7.63,Vaccination,30938.0,No,86.74,3347.0,9.42,44570.0,0.47,30.5 +25575,South Africa,2024,HIV/AIDS,Chronic,12.37,8.43,2.69,0-18,Female,39256,87.6,1.89,9.49,Medication,31100.0,Yes,54.87,4029.0,3.7,80781.0,0.68,35.36 +25582,Russia,2012,Hypertension,Viral,3.81,7.54,5.98,0-18,Female,866331,70.37,1.36,1.07,Medication,49379.0,Yes,54.94,2201.0,5.59,47355.0,0.58,83.2 +25583,Australia,2010,Parkinson's Disease,Viral,19.69,4.71,8.74,36-60,Female,128514,88.32,3.76,3.74,Vaccination,12584.0,Yes,74.09,3379.0,1.94,72608.0,0.55,40.09 +25584,India,2014,Measles,Metabolic,17.55,2.26,3.36,36-60,Other,489916,95.14,2.89,9.93,Therapy,46600.0,Yes,63.15,4530.0,1.01,76267.0,0.57,56.19 +25585,Italy,2013,Dengue,Autoimmune,18.58,5.0,5.75,36-60,Female,834661,98.39,4.85,5.55,Vaccination,37785.0,No,74.42,539.0,4.02,9576.0,0.9,51.88 +25588,India,2023,Influenza,Genetic,5.33,7.42,1.28,0-18,Other,624338,89.55,2.93,0.57,Surgery,29864.0,No,97.64,3123.0,4.61,29429.0,0.52,37.52 +25592,India,2016,Tuberculosis,Neurological,3.73,2.53,5.93,36-60,Other,290936,75.5,2.88,3.51,Therapy,31207.0,Yes,77.63,2503.0,6.99,6430.0,0.73,72.44 +25609,Turkey,2008,COVID-19,Parasitic,0.5,9.24,2.6,61+,Male,256492,63.01,3.41,2.16,Vaccination,28344.0,No,80.34,3332.0,2.63,45830.0,0.69,51.74 +25615,Germany,2014,Diabetes,Infectious,10.12,10.01,7.45,61+,Other,845011,66.29,3.49,2.36,Vaccination,3602.0,Yes,62.92,202.0,5.08,93753.0,0.5,68.98 +25623,USA,2014,Hypertension,Viral,14.84,2.05,2.66,19-35,Other,107148,55.63,4.89,9.66,Vaccination,13562.0,No,67.26,2866.0,6.35,898.0,0.48,52.7 +25624,UK,2024,Rabies,Autoimmune,14.69,12.62,0.29,61+,Male,250968,96.57,4.69,1.48,Medication,7082.0,Yes,71.33,3639.0,5.31,32092.0,0.79,32.64 +25628,Australia,2020,Hypertension,Bacterial,18.95,8.51,8.94,0-18,Other,130305,69.38,3.42,0.52,Medication,25567.0,No,83.37,1120.0,1.03,87540.0,0.47,88.28 +25633,UK,2017,Ebola,Bacterial,8.38,1.48,3.55,36-60,Other,439093,98.87,3.41,3.04,Surgery,17237.0,Yes,70.78,3081.0,1.72,94162.0,0.9,22.76 +25638,Turkey,2010,Rabies,Parasitic,9.36,11.87,2.63,19-35,Female,39462,85.72,2.76,6.57,Surgery,2345.0,Yes,68.03,2909.0,6.22,36607.0,0.5,20.06 +25639,South Africa,2007,Rabies,Respiratory,18.39,14.65,1.98,36-60,Male,487827,92.81,4.76,1.72,Therapy,48115.0,No,78.0,1755.0,7.69,3108.0,0.89,70.64 +25641,Indonesia,2004,Polio,Neurological,5.63,8.77,6.69,19-35,Female,981151,87.86,0.85,8.67,Medication,28408.0,No,79.44,4101.0,5.67,94545.0,0.85,86.25 +25646,Brazil,2010,Parkinson's Disease,Viral,17.26,6.74,3.54,19-35,Male,200362,63.41,4.78,3.02,Surgery,41429.0,No,60.9,4052.0,0.85,41999.0,0.67,21.6 +25650,Turkey,2024,Influenza,Genetic,6.96,14.7,2.23,36-60,Other,107242,92.57,4.24,1.44,Vaccination,10788.0,No,63.13,4528.0,8.19,6822.0,0.66,32.69 +25653,Germany,2022,Diabetes,Chronic,13.66,6.5,1.35,36-60,Female,503671,93.98,4.27,5.98,Surgery,49826.0,No,79.97,387.0,8.89,94436.0,0.53,70.59 +25657,France,2020,Alzheimer's Disease,Chronic,1.14,13.08,1.96,36-60,Female,48861,75.61,3.01,0.65,Therapy,25580.0,No,75.77,892.0,1.62,78608.0,0.78,31.54 +25659,Japan,2020,Dengue,Chronic,17.83,8.81,7.05,61+,Male,46758,64.8,4.26,5.63,Surgery,40823.0,Yes,79.55,3592.0,1.43,82248.0,0.46,32.53 +25669,Italy,2009,Dengue,Infectious,5.81,2.89,3.46,61+,Other,58975,71.38,1.71,2.86,Medication,11106.0,No,93.6,4666.0,0.71,3514.0,0.72,67.26 +25671,USA,2015,Diabetes,Respiratory,19.41,1.07,4.63,61+,Male,756295,55.89,4.48,9.18,Vaccination,16981.0,No,50.23,2779.0,7.4,78928.0,0.77,53.91 +25672,Italy,2004,Cholera,Infectious,12.85,13.95,9.08,61+,Other,479428,50.8,2.55,4.64,Surgery,10998.0,Yes,79.38,1782.0,8.65,14509.0,0.77,39.74 +25675,Russia,2007,Dengue,Genetic,8.26,0.97,1.54,36-60,Male,802301,81.35,3.74,4.11,Surgery,1180.0,No,76.39,3741.0,4.68,16733.0,0.48,21.97 +25681,UK,2023,Rabies,Infectious,16.53,8.4,9.23,0-18,Female,200367,78.07,4.82,9.67,Therapy,17701.0,Yes,66.48,4086.0,3.44,72127.0,0.42,68.84 +25682,Japan,2000,Parkinson's Disease,Genetic,4.81,1.85,9.84,19-35,Male,3367,70.52,3.49,3.37,Surgery,46736.0,Yes,51.91,4026.0,9.38,83315.0,0.62,87.52 +25687,Mexico,2011,Polio,Genetic,10.31,4.12,9.92,0-18,Female,338754,63.28,4.49,9.24,Vaccination,9410.0,No,79.66,3194.0,6.01,2487.0,0.9,88.93 +25688,Argentina,2020,Dengue,Genetic,9.12,7.55,3.52,61+,Other,716029,82.57,3.33,3.93,Therapy,14460.0,Yes,81.67,3142.0,8.0,6857.0,0.59,36.49 +25689,France,2006,Hepatitis,Chronic,13.87,5.27,7.19,61+,Male,923905,81.76,4.72,5.61,Therapy,13528.0,No,87.85,3648.0,1.14,90495.0,0.6,68.4 +25690,Saudi Arabia,2017,Parkinson's Disease,Respiratory,6.83,12.47,0.86,36-60,Male,938153,55.54,3.54,4.09,Surgery,22522.0,No,55.87,3264.0,9.58,12244.0,0.74,40.67 +25694,Argentina,2019,Zika,Respiratory,4.93,4.76,2.04,36-60,Other,355486,67.67,4.76,4.69,Therapy,24263.0,Yes,54.23,3351.0,9.5,36977.0,0.58,78.42 +25695,Australia,2019,Tuberculosis,Cardiovascular,6.38,11.51,2.15,0-18,Female,668924,75.66,3.14,6.3,Medication,4092.0,No,60.52,2960.0,3.5,72215.0,0.83,34.71 +25699,Germany,2008,Rabies,Respiratory,11.56,1.68,7.44,61+,Other,936825,51.91,4.73,6.8,Medication,45963.0,No,79.39,4469.0,6.29,33448.0,0.87,24.16 +25700,South Africa,2003,COVID-19,Parasitic,19.84,6.74,3.49,61+,Female,888714,94.46,4.39,8.4,Vaccination,36492.0,Yes,72.14,505.0,5.39,42561.0,0.42,30.03 +25708,Australia,2012,Cholera,Bacterial,3.69,8.32,6.17,19-35,Other,76632,62.21,3.94,8.69,Surgery,25830.0,No,62.67,4275.0,7.35,16284.0,0.49,71.27 +25709,Australia,2003,Hypertension,Infectious,14.34,7.0,1.27,19-35,Other,261748,50.83,0.71,3.14,Vaccination,9497.0,Yes,63.34,932.0,3.5,38018.0,0.64,29.57 +25710,Mexico,2009,HIV/AIDS,Neurological,7.01,3.97,9.32,61+,Male,483664,93.4,1.29,2.74,Surgery,26781.0,No,78.42,924.0,8.71,61440.0,0.46,38.81 +25711,Saudi Arabia,2019,Malaria,Genetic,4.73,6.18,2.47,19-35,Other,245460,66.39,3.07,9.05,Vaccination,32243.0,Yes,54.68,3391.0,6.87,7188.0,0.68,78.75 +25712,Germany,2020,Asthma,Bacterial,3.14,3.34,0.46,61+,Male,649718,61.11,3.81,6.24,Therapy,10314.0,No,51.39,2250.0,7.58,91379.0,0.48,77.86 +25720,Brazil,2011,Polio,Metabolic,16.21,13.39,3.54,0-18,Male,368785,69.69,3.83,3.43,Vaccination,39924.0,Yes,56.97,252.0,2.56,64904.0,0.54,38.66 +25721,Argentina,2001,HIV/AIDS,Autoimmune,13.55,8.98,5.65,0-18,Other,108203,87.76,1.28,3.75,Vaccination,17236.0,No,86.46,2682.0,1.85,10309.0,0.79,75.84 +25725,Argentina,2020,Measles,Metabolic,7.17,14.72,2.28,61+,Male,246345,61.44,4.46,6.36,Vaccination,32304.0,Yes,81.65,1528.0,7.88,55984.0,0.81,63.15 +25728,Argentina,2004,Ebola,Respiratory,15.43,14.89,4.49,0-18,Female,737063,62.75,4.83,5.09,Vaccination,39249.0,Yes,89.73,3904.0,1.64,25460.0,0.74,55.12 +25740,Mexico,2016,HIV/AIDS,Parasitic,5.46,12.96,4.83,0-18,Male,144896,81.82,3.95,6.84,Vaccination,29243.0,No,70.76,1909.0,2.59,16494.0,0.52,66.73 +25750,Italy,2000,Rabies,Viral,11.69,13.37,2.24,0-18,Female,48039,80.29,2.37,8.61,Medication,48452.0,Yes,75.58,4528.0,1.31,38375.0,0.69,82.91 +25751,China,2023,Dengue,Viral,16.43,11.16,4.7,0-18,Male,247426,86.65,2.62,9.7,Surgery,5913.0,Yes,64.7,2422.0,8.59,4374.0,0.52,52.86 +25754,South Africa,2009,Rabies,Bacterial,3.99,5.38,7.58,61+,Female,729901,55.46,3.7,2.17,Vaccination,1822.0,Yes,78.68,293.0,3.65,19594.0,0.71,39.93 +25759,Indonesia,2009,Influenza,Chronic,0.74,6.03,0.93,0-18,Other,220470,78.27,4.91,6.83,Therapy,15449.0,Yes,65.52,4455.0,7.96,6220.0,0.74,68.66 +25762,UK,2017,Alzheimer's Disease,Cardiovascular,8.31,6.72,4.65,36-60,Male,616267,59.56,2.23,2.84,Medication,17764.0,Yes,78.27,1035.0,2.96,87970.0,0.8,74.68 +25779,Canada,2024,Tuberculosis,Metabolic,1.45,12.65,9.68,0-18,Female,118428,86.81,2.1,7.38,Therapy,13468.0,Yes,54.43,4133.0,6.52,79072.0,0.48,89.95 +25782,UK,2002,Measles,Infectious,9.01,10.6,4.06,19-35,Male,701694,50.71,2.16,0.78,Vaccination,13406.0,Yes,94.69,4042.0,1.07,91151.0,0.64,75.54 +25787,India,2006,Leprosy,Chronic,18.25,3.7,0.11,61+,Male,570077,61.5,4.2,4.81,Therapy,39556.0,No,89.9,3593.0,8.75,7736.0,0.41,53.92 +25788,Brazil,2007,Parkinson's Disease,Bacterial,1.23,1.15,4.12,19-35,Other,251662,67.53,5.0,4.01,Medication,6001.0,Yes,72.75,1439.0,3.59,26317.0,0.6,34.34 +25802,Australia,2019,COVID-19,Infectious,16.77,6.15,6.55,19-35,Female,835356,63.79,4.4,9.22,Medication,43799.0,Yes,65.6,608.0,3.01,1446.0,0.64,38.05 +25805,South Korea,2009,Asthma,Chronic,14.89,12.97,0.53,19-35,Male,126558,85.54,4.65,5.95,Vaccination,48259.0,Yes,59.39,149.0,0.84,61315.0,0.64,27.44 +25814,Nigeria,2020,Hepatitis,Viral,6.7,14.65,8.27,36-60,Male,656864,71.67,1.89,0.89,Surgery,38432.0,No,71.44,799.0,1.32,73476.0,0.63,66.74 +25821,Mexico,2022,Rabies,Viral,13.92,3.24,0.29,36-60,Male,543457,67.0,4.53,2.33,Surgery,38025.0,Yes,65.68,1636.0,2.9,35507.0,0.62,42.3 +25822,Nigeria,2004,Parkinson's Disease,Respiratory,8.16,12.63,3.03,61+,Other,912772,57.35,2.83,3.68,Medication,17740.0,No,69.77,2624.0,3.45,70830.0,0.78,30.63 +25827,UK,2007,Parkinson's Disease,Autoimmune,14.39,1.18,0.34,19-35,Male,121838,65.97,3.7,6.36,Surgery,4260.0,No,70.85,2340.0,9.65,73244.0,0.7,74.83 +25836,Canada,2012,Parkinson's Disease,Parasitic,14.9,14.9,4.84,19-35,Female,40732,91.78,2.91,9.3,Surgery,9853.0,Yes,75.15,4720.0,5.9,89643.0,0.59,32.34 +25837,Russia,2005,Tuberculosis,Viral,2.04,12.31,9.66,61+,Male,50748,80.42,3.86,8.67,Surgery,7647.0,Yes,80.46,2892.0,1.3,34191.0,0.64,70.13 +25844,France,2014,Ebola,Cardiovascular,14.25,11.2,0.75,0-18,Other,597106,57.46,4.7,0.7,Vaccination,10681.0,Yes,52.0,2171.0,5.65,60845.0,0.43,72.01 +25847,Turkey,2017,Malaria,Viral,5.42,5.38,7.49,0-18,Other,94804,67.43,2.31,7.95,Vaccination,8439.0,No,68.27,1737.0,3.3,13554.0,0.61,22.24 +25850,USA,2007,Cancer,Parasitic,2.79,4.53,2.03,0-18,Other,795086,75.36,4.17,4.0,Surgery,43501.0,No,82.08,2502.0,0.01,38325.0,0.54,38.31 +25851,Nigeria,2002,Malaria,Infectious,5.0,8.7,4.03,61+,Other,694430,74.81,3.52,6.19,Vaccination,46868.0,No,83.7,3812.0,9.14,5369.0,0.46,79.07 +25869,Germany,2012,Hepatitis,Cardiovascular,11.27,13.39,6.08,19-35,Male,771068,74.39,2.83,7.16,Vaccination,29541.0,No,59.36,4025.0,9.98,15701.0,0.73,47.44 +25874,Saudi Arabia,2018,COVID-19,Neurological,8.59,3.43,1.92,0-18,Male,443768,70.15,0.59,8.04,Medication,12075.0,No,96.24,2603.0,2.12,13376.0,0.69,43.13 +25876,Saudi Arabia,2002,Ebola,Neurological,7.93,14.74,5.33,36-60,Other,899919,96.63,2.61,8.72,Surgery,40821.0,Yes,79.97,1455.0,2.15,52934.0,0.5,35.8 +25882,Indonesia,2023,Malaria,Respiratory,2.34,1.08,7.8,0-18,Female,101761,88.2,3.8,6.38,Medication,11225.0,No,94.34,1013.0,2.04,37426.0,0.73,76.52 +25883,China,2018,HIV/AIDS,Metabolic,17.04,2.75,8.54,61+,Male,943595,74.82,0.8,3.93,Vaccination,5115.0,No,83.62,1297.0,4.77,61540.0,0.51,72.22 +25888,UK,2003,Diabetes,Infectious,15.23,1.46,8.09,0-18,Other,52033,90.99,1.58,9.27,Surgery,36568.0,Yes,83.48,2075.0,1.6,33873.0,0.56,76.47 +25890,China,2010,Diabetes,Autoimmune,1.64,11.01,0.34,0-18,Male,739731,75.87,4.33,8.49,Vaccination,6037.0,Yes,86.31,1710.0,3.63,64850.0,0.41,84.48 +25896,USA,2016,Diabetes,Chronic,19.93,13.83,6.59,19-35,Other,298265,99.96,0.57,1.92,Medication,48326.0,Yes,82.76,2917.0,9.48,47834.0,0.45,34.14 +25897,UK,2019,Polio,Autoimmune,7.19,2.13,3.88,36-60,Female,825317,72.41,1.96,4.69,Therapy,15071.0,Yes,61.87,1412.0,1.44,49281.0,0.89,65.46 +25899,USA,2006,Ebola,Cardiovascular,7.07,7.85,2.03,36-60,Female,153913,66.01,2.7,5.0,Surgery,25397.0,Yes,61.72,4138.0,9.62,87591.0,0.5,71.14 +25902,UK,2020,Cancer,Respiratory,19.68,13.64,7.14,0-18,Female,43256,68.18,3.28,4.45,Medication,1798.0,Yes,77.12,1365.0,3.43,53943.0,0.79,32.91 +25910,South Korea,2017,Tuberculosis,Metabolic,17.51,13.76,9.27,19-35,Other,525088,63.05,4.76,1.06,Medication,25803.0,No,92.08,3109.0,3.77,94320.0,0.46,65.86 +25912,Turkey,2019,Asthma,Viral,17.57,9.8,0.95,61+,Other,898149,89.13,3.41,2.82,Vaccination,12616.0,Yes,61.44,297.0,0.29,13746.0,0.8,54.56 +25921,Indonesia,2018,Tuberculosis,Bacterial,11.01,5.32,5.35,36-60,Female,20515,55.41,0.59,4.4,Surgery,15088.0,No,89.73,1912.0,8.13,88470.0,0.56,43.37 +25928,Saudi Arabia,2007,Influenza,Genetic,13.78,4.41,6.44,19-35,Other,956056,85.2,1.74,2.53,Surgery,21210.0,Yes,80.49,874.0,3.2,4586.0,0.8,39.72 +25933,Indonesia,2011,Cancer,Respiratory,12.04,5.53,0.91,19-35,Other,986968,99.34,3.44,9.7,Therapy,8982.0,No,79.95,3789.0,5.33,12474.0,0.57,52.5 +25939,USA,2013,Parkinson's Disease,Respiratory,0.23,13.24,0.1,36-60,Female,724376,56.58,4.19,8.29,Medication,441.0,Yes,70.63,2530.0,9.47,32311.0,0.56,51.95 +25940,USA,2001,Measles,Bacterial,2.2,14.11,7.7,19-35,Male,249125,72.54,4.71,5.58,Surgery,19697.0,Yes,66.73,2768.0,1.18,63300.0,0.57,58.61 +25947,India,2020,Asthma,Autoimmune,13.73,4.87,4.37,0-18,Other,548911,80.96,1.92,0.78,Medication,33884.0,Yes,69.67,251.0,5.25,87587.0,0.68,22.28 +25960,South Korea,2001,Dengue,Genetic,1.16,13.43,4.01,61+,Female,64702,87.61,1.89,1.87,Vaccination,23392.0,No,57.06,2803.0,9.68,89783.0,0.84,81.73 +25962,USA,2007,COVID-19,Parasitic,12.77,2.64,5.83,36-60,Other,697524,74.45,0.99,5.11,Vaccination,21391.0,Yes,79.36,3010.0,5.99,24708.0,0.51,58.43 +25965,Russia,2024,Cholera,Infectious,17.6,13.43,5.71,0-18,Female,794420,83.74,2.87,7.33,Therapy,18694.0,No,64.8,3969.0,1.16,74315.0,0.58,28.61 +25977,France,2018,Polio,Genetic,11.41,8.74,5.37,0-18,Male,3427,50.6,3.99,2.52,Medication,2489.0,Yes,77.97,998.0,8.12,3054.0,0.61,52.01 +25978,Argentina,2008,Hepatitis,Bacterial,19.89,0.44,3.87,61+,Female,374809,87.97,4.25,7.95,Medication,47697.0,No,73.3,4744.0,8.59,1542.0,0.65,83.02 +25981,Turkey,2015,Zika,Neurological,5.46,12.71,3.33,61+,Other,942823,70.33,4.75,6.93,Therapy,14537.0,Yes,85.71,4896.0,6.92,5916.0,0.44,42.44 +25982,Turkey,2008,Hypertension,Autoimmune,19.24,1.07,0.41,36-60,Other,634736,85.74,2.18,5.78,Therapy,27292.0,No,72.79,812.0,8.31,66127.0,0.63,70.66 +25985,Mexico,2009,Rabies,Neurological,16.07,6.3,8.89,61+,Male,932372,64.56,1.79,6.1,Medication,47002.0,No,75.15,1417.0,0.35,1764.0,0.68,87.11 +25986,Germany,2014,Influenza,Viral,9.03,9.04,5.2,0-18,Female,665465,89.57,4.91,7.56,Therapy,31747.0,Yes,70.97,35.0,2.06,43480.0,0.75,58.12 +25989,Mexico,2005,Parkinson's Disease,Autoimmune,6.75,9.39,8.86,36-60,Other,120695,87.52,4.24,8.14,Therapy,45436.0,No,89.6,2722.0,6.2,72534.0,0.73,20.98 +26017,South Korea,2004,Tuberculosis,Infectious,19.74,12.34,3.23,36-60,Other,482121,98.29,0.7,8.91,Therapy,29428.0,No,81.08,3109.0,0.85,56105.0,0.89,77.19 +26021,Italy,2005,Parkinson's Disease,Autoimmune,13.4,3.15,2.83,36-60,Female,831966,78.36,1.83,8.37,Vaccination,47173.0,Yes,76.34,642.0,3.23,91335.0,0.64,47.22 +26026,France,2017,Parkinson's Disease,Respiratory,19.16,10.93,2.59,36-60,Female,737034,53.53,1.62,6.52,Vaccination,11860.0,Yes,85.67,820.0,2.1,52794.0,0.7,23.53 +26030,Russia,2014,Malaria,Chronic,14.53,4.33,5.67,19-35,Other,616258,57.96,3.71,2.82,Therapy,11582.0,Yes,98.32,1956.0,1.76,73972.0,0.85,60.32 +26031,Indonesia,2000,Rabies,Viral,10.7,14.7,2.64,19-35,Other,163879,82.32,1.14,7.77,Vaccination,17485.0,No,63.59,4209.0,0.71,87726.0,0.82,86.7 +26041,Australia,2017,Dengue,Viral,1.1,6.79,3.98,19-35,Male,396939,97.39,1.14,1.99,Surgery,38117.0,No,56.27,1739.0,4.0,55851.0,0.68,25.97 +26044,South Korea,2015,Asthma,Bacterial,7.49,10.43,8.4,19-35,Male,619678,77.71,3.81,2.05,Surgery,2298.0,No,65.1,4778.0,4.46,12708.0,0.6,29.08 +26046,France,2001,Diabetes,Chronic,11.72,14.15,8.4,19-35,Other,788578,96.96,3.36,3.53,Surgery,36632.0,No,74.6,4039.0,0.82,17763.0,0.75,20.74 +26047,South Korea,2002,Rabies,Viral,19.42,8.92,3.25,36-60,Male,83274,93.95,3.91,4.6,Medication,19546.0,No,78.06,815.0,1.34,29945.0,0.61,89.68 +26049,Mexico,2001,Asthma,Chronic,3.25,6.13,1.76,0-18,Female,745441,84.14,1.58,2.42,Therapy,38330.0,No,66.95,512.0,6.82,63548.0,0.77,57.51 +26053,Argentina,2022,Diabetes,Metabolic,19.46,8.72,3.89,36-60,Other,131625,63.09,1.85,9.55,Surgery,37455.0,Yes,50.72,515.0,2.02,62734.0,0.65,59.92 +26055,South Africa,2004,Asthma,Chronic,17.34,4.45,9.31,19-35,Other,934700,69.38,4.61,1.22,Vaccination,29212.0,Yes,55.7,4395.0,5.94,18595.0,0.81,21.91 +26056,Australia,2012,Influenza,Metabolic,14.0,5.42,9.5,0-18,Male,58858,51.25,3.39,3.67,Medication,26782.0,Yes,97.17,2945.0,0.57,36155.0,0.87,60.84 +26059,France,2009,Influenza,Chronic,0.4,12.18,4.11,36-60,Other,513403,70.83,3.75,0.51,Surgery,18644.0,No,94.02,2075.0,2.83,70122.0,0.59,39.44 +26067,USA,2012,COVID-19,Infectious,15.86,8.46,2.67,19-35,Male,265367,55.52,2.98,5.81,Therapy,43565.0,No,63.73,4252.0,3.2,28702.0,0.48,69.8 +26074,Italy,2011,Measles,Infectious,13.28,1.05,0.38,36-60,Male,732237,57.97,2.58,3.39,Therapy,28475.0,No,86.12,4786.0,4.61,74501.0,0.5,46.11 +26090,Mexico,2019,Zika,Neurological,5.16,2.15,4.26,19-35,Male,63892,66.08,0.72,7.73,Vaccination,23351.0,Yes,55.56,920.0,2.34,43324.0,0.87,27.07 +26100,Mexico,2023,Rabies,Infectious,17.37,11.92,1.0,0-18,Other,736095,74.89,3.5,2.95,Medication,28295.0,Yes,65.92,1022.0,6.66,73197.0,0.84,62.37 +26106,India,2011,Asthma,Autoimmune,16.83,7.98,7.23,61+,Female,429833,90.9,3.46,6.98,Surgery,13723.0,No,71.55,1896.0,4.27,3761.0,0.6,58.23 +26107,Indonesia,2022,Zika,Neurological,19.15,13.67,8.88,36-60,Other,771476,84.34,4.65,3.02,Medication,27575.0,No,65.37,4372.0,4.7,23262.0,0.79,83.94 +26116,Russia,2005,Influenza,Respiratory,16.39,7.11,4.01,0-18,Male,410802,85.81,2.18,3.88,Surgery,39952.0,Yes,92.55,3053.0,6.74,78831.0,0.48,26.2 +26120,Australia,2018,Malaria,Autoimmune,3.37,10.75,3.32,0-18,Male,543795,80.56,4.99,7.27,Vaccination,32613.0,No,67.73,1425.0,9.66,21275.0,0.84,86.54 +26129,USA,2014,Alzheimer's Disease,Autoimmune,16.19,13.15,2.3,0-18,Female,492474,69.77,2.41,3.85,Vaccination,15815.0,Yes,91.13,2372.0,1.08,66159.0,0.44,30.07 +26138,Nigeria,2002,Hepatitis,Chronic,15.26,7.71,2.16,0-18,Male,115285,98.59,4.1,2.76,Therapy,2765.0,No,67.65,1054.0,1.42,28595.0,0.64,41.51 +26142,India,2021,Cancer,Respiratory,2.38,14.98,9.22,19-35,Other,853135,87.76,1.01,1.4,Surgery,6965.0,Yes,62.03,1390.0,7.09,92112.0,0.77,60.22 +26146,Australia,2013,Diabetes,Metabolic,3.18,7.27,1.3,61+,Female,136121,58.97,0.6,3.63,Therapy,19701.0,Yes,82.91,1138.0,9.76,37257.0,0.85,43.24 +26147,France,2015,Ebola,Metabolic,15.36,10.85,7.22,61+,Male,231705,95.66,1.47,7.7,Vaccination,32896.0,No,56.37,4294.0,4.31,30648.0,0.86,34.13 +26152,Russia,2002,Dengue,Metabolic,6.38,0.63,7.23,61+,Female,438226,84.49,1.64,3.47,Surgery,34307.0,No,98.15,2441.0,0.03,57588.0,0.66,81.15 +26157,South Korea,2019,Dengue,Autoimmune,5.89,14.32,7.57,19-35,Female,66396,50.63,1.06,1.06,Surgery,32829.0,Yes,50.71,1598.0,1.01,76509.0,0.71,26.17 +26159,UK,2004,Tuberculosis,Viral,13.37,10.53,5.38,36-60,Female,293843,88.4,3.45,3.24,Therapy,8430.0,No,93.99,2081.0,6.38,81230.0,0.49,45.03 +26162,Australia,2019,Influenza,Bacterial,9.9,0.68,2.1,0-18,Other,681029,85.3,4.88,3.48,Medication,12875.0,Yes,75.6,3420.0,8.53,14545.0,0.53,37.2 +26169,Brazil,2016,Cancer,Viral,15.33,5.52,8.39,0-18,Other,259025,68.98,1.76,4.79,Vaccination,35536.0,No,80.47,558.0,4.42,47750.0,0.62,41.31 +26170,UK,2005,HIV/AIDS,Parasitic,18.55,9.21,4.72,61+,Other,443514,71.42,0.92,7.4,Therapy,14481.0,Yes,54.82,431.0,6.9,7480.0,0.54,73.25 +26174,Argentina,2018,Rabies,Metabolic,16.13,2.82,8.18,61+,Female,32107,76.52,2.53,7.95,Surgery,1222.0,No,84.73,4755.0,5.51,54080.0,0.65,75.09 +26177,Canada,2021,Ebola,Autoimmune,19.28,1.88,6.08,0-18,Female,309450,67.55,3.82,0.91,Vaccination,17092.0,No,67.79,4402.0,7.54,88420.0,0.66,21.26 +26184,UK,2007,COVID-19,Neurological,1.7,10.99,6.81,61+,Male,697230,87.7,3.77,8.83,Medication,49593.0,Yes,51.85,3463.0,9.99,52140.0,0.7,62.69 +26186,China,2008,Leprosy,Cardiovascular,10.86,14.57,5.88,19-35,Male,455966,54.05,0.64,7.59,Medication,30514.0,Yes,74.79,4601.0,6.03,26334.0,0.74,77.79 +26188,China,2022,Dengue,Metabolic,2.9,2.46,7.63,19-35,Male,266095,63.8,4.86,4.95,Therapy,34129.0,No,89.53,2727.0,1.89,58177.0,0.61,46.55 +26191,Japan,2004,Hypertension,Metabolic,14.43,6.35,7.3,36-60,Other,914891,66.15,4.92,7.88,Surgery,46191.0,Yes,91.72,2219.0,5.47,83626.0,0.62,56.14 +26200,France,2004,Leprosy,Cardiovascular,6.77,8.27,3.79,36-60,Male,783814,65.56,2.6,5.64,Therapy,14660.0,No,86.1,3209.0,3.49,63916.0,0.84,80.38 +26201,USA,2004,Zika,Autoimmune,8.03,8.88,6.56,61+,Female,544735,94.95,1.41,5.82,Vaccination,36072.0,Yes,63.19,4494.0,3.77,68008.0,0.49,50.74 +26210,Indonesia,2008,Parkinson's Disease,Autoimmune,4.84,0.87,3.87,19-35,Female,712661,50.07,1.98,9.42,Therapy,31427.0,No,74.58,3616.0,3.25,57268.0,0.48,71.59 +26216,Mexico,2012,Measles,Neurological,12.78,11.8,1.43,36-60,Female,356225,56.74,3.14,8.32,Medication,19036.0,Yes,79.15,2408.0,4.22,10605.0,0.86,82.46 +26218,Nigeria,2004,Parkinson's Disease,Bacterial,15.58,0.23,9.09,0-18,Female,181338,91.9,1.68,3.29,Vaccination,1553.0,No,86.03,2928.0,9.9,82537.0,0.41,28.18 +26219,France,2014,Polio,Neurological,7.42,9.14,4.06,0-18,Other,784482,88.58,2.07,7.67,Surgery,45082.0,Yes,72.58,177.0,4.14,39663.0,0.73,86.39 +26220,Canada,2022,Diabetes,Cardiovascular,0.8,5.02,9.5,61+,Other,215409,60.01,1.75,3.96,Vaccination,13967.0,Yes,81.37,1748.0,2.44,34090.0,0.52,79.69 +26221,Indonesia,2018,Hypertension,Viral,1.22,0.45,9.46,0-18,Female,743717,75.73,2.12,4.51,Medication,1862.0,Yes,94.23,2167.0,0.08,38894.0,0.58,81.36 +26224,Australia,2008,Zika,Genetic,14.97,8.65,3.68,61+,Female,849929,83.57,0.77,7.04,Vaccination,37055.0,No,61.67,612.0,4.45,75492.0,0.68,41.02 +26228,South Africa,2022,Diabetes,Infectious,14.05,3.25,0.82,36-60,Female,43296,56.65,3.2,4.0,Surgery,43781.0,No,76.79,2075.0,2.77,90679.0,0.4,59.42 +26231,Canada,2004,Alzheimer's Disease,Metabolic,10.3,2.09,2.3,36-60,Other,150512,78.19,2.9,6.84,Vaccination,43984.0,No,53.63,2238.0,5.75,93895.0,0.56,44.84 +26233,Japan,2006,Dengue,Viral,4.29,5.37,9.67,0-18,Other,665394,78.13,3.29,5.53,Surgery,42306.0,No,81.78,1751.0,9.56,92603.0,0.89,52.89 +26236,India,2014,HIV/AIDS,Cardiovascular,0.12,9.33,5.97,61+,Other,688711,62.24,2.08,4.37,Therapy,49348.0,No,88.76,954.0,9.61,36735.0,0.81,50.02 +26240,UK,2023,Measles,Parasitic,17.18,2.89,1.27,19-35,Male,336183,70.98,3.99,8.02,Therapy,13296.0,Yes,84.46,2020.0,2.83,6989.0,0.5,64.86 +26241,Indonesia,2003,Dengue,Infectious,7.36,0.94,3.1,0-18,Female,397796,94.67,2.55,2.29,Therapy,1461.0,Yes,96.66,4312.0,3.91,90625.0,0.51,55.06 +26242,Australia,2004,Dengue,Metabolic,7.65,8.03,5.06,19-35,Female,969818,67.64,1.4,3.37,Medication,26598.0,No,88.08,3369.0,0.37,71992.0,0.47,51.42 +26246,Japan,2023,Asthma,Metabolic,7.16,0.99,0.18,36-60,Female,209649,92.55,1.21,2.59,Surgery,48005.0,No,86.85,3161.0,8.54,1231.0,0.8,35.11 +26249,Indonesia,2001,Hepatitis,Neurological,8.91,11.72,2.48,19-35,Male,483872,52.43,0.55,5.11,Therapy,49534.0,No,78.33,3253.0,9.81,3261.0,0.71,40.5 +26251,Nigeria,2000,COVID-19,Neurological,5.32,0.79,0.42,36-60,Male,254441,95.48,4.72,8.25,Therapy,13864.0,Yes,93.61,1022.0,0.0,46975.0,0.5,31.3 +26254,UK,2016,Hypertension,Genetic,12.47,11.63,3.03,61+,Male,747771,71.89,4.19,7.97,Vaccination,23842.0,No,92.66,3532.0,1.16,41368.0,0.51,22.5 +26256,France,2004,Diabetes,Autoimmune,9.04,12.17,6.48,61+,Female,470630,94.77,1.6,1.92,Surgery,23108.0,Yes,73.91,4934.0,7.63,52549.0,0.49,34.12 +26263,Turkey,2011,Cholera,Chronic,5.38,2.41,0.47,36-60,Male,143089,96.66,4.32,3.17,Vaccination,47626.0,No,50.92,2776.0,9.2,33465.0,0.75,64.07 +26268,USA,2013,Ebola,Neurological,19.53,3.11,6.01,19-35,Male,419281,97.85,4.0,6.01,Therapy,47358.0,No,91.91,4810.0,1.58,60385.0,0.63,65.21 +26272,Germany,2013,Hepatitis,Cardiovascular,12.82,5.32,9.45,36-60,Other,129573,98.84,0.78,1.81,Surgery,36407.0,No,95.68,4618.0,0.71,69166.0,0.82,89.16 +26289,USA,2011,Alzheimer's Disease,Viral,7.53,8.95,3.12,61+,Male,77530,50.7,3.32,2.44,Surgery,35127.0,No,91.56,44.0,6.18,71106.0,0.9,24.26 +26298,South Africa,2017,COVID-19,Genetic,16.53,9.02,8.85,61+,Male,32929,86.51,3.72,3.9,Vaccination,17997.0,No,71.79,544.0,8.38,58648.0,0.49,82.88 +26300,Australia,2023,HIV/AIDS,Neurological,10.51,3.73,3.99,61+,Female,675116,71.37,4.37,4.03,Vaccination,9590.0,Yes,58.64,3443.0,8.29,97567.0,0.81,23.3 +26301,UK,2009,Dengue,Viral,14.98,10.74,0.61,0-18,Other,363988,85.47,2.51,2.22,Vaccination,28158.0,No,92.48,3219.0,6.6,30691.0,0.48,36.3 +26305,Indonesia,2006,Parkinson's Disease,Autoimmune,10.06,11.43,1.67,36-60,Female,399639,78.9,4.13,3.02,Surgery,49709.0,Yes,58.45,4178.0,8.68,99773.0,0.83,36.88 +26308,Japan,2021,Measles,Parasitic,13.24,2.13,3.39,61+,Other,576780,89.48,3.77,7.54,Vaccination,34019.0,No,89.08,4151.0,7.28,53137.0,0.76,57.16 +26314,South Africa,2023,Polio,Parasitic,1.59,11.71,8.9,0-18,Male,281923,70.46,1.19,5.26,Medication,38794.0,No,84.9,56.0,4.03,76995.0,0.53,41.91 +26316,Brazil,2007,Tuberculosis,Respiratory,14.36,2.69,8.67,61+,Male,834009,79.15,1.56,6.01,Vaccination,9055.0,No,55.16,1237.0,4.68,8243.0,0.46,77.53 +26317,Japan,2001,Hepatitis,Respiratory,8.51,1.32,0.54,0-18,Female,428872,72.36,1.65,7.97,Therapy,24151.0,Yes,82.67,2120.0,0.28,67207.0,0.75,62.68 +26318,India,2023,Influenza,Bacterial,11.42,6.87,0.43,36-60,Female,134576,95.32,4.64,7.87,Surgery,31427.0,No,97.93,4947.0,4.43,12863.0,0.58,60.31 +26319,Germany,2003,Rabies,Infectious,2.72,0.27,3.09,36-60,Female,275261,91.42,2.93,3.81,Medication,47376.0,No,50.32,723.0,0.25,19857.0,0.51,62.21 +26325,France,2021,Ebola,Chronic,18.61,14.87,3.58,61+,Female,376729,81.07,1.35,3.13,Vaccination,30383.0,No,88.75,793.0,9.33,77933.0,0.72,36.71 +26327,Mexico,2008,Asthma,Bacterial,0.69,14.01,6.92,61+,Female,856327,79.29,2.01,9.69,Surgery,13138.0,Yes,60.47,4179.0,2.3,9562.0,0.79,69.46 +26340,South Africa,2018,Rabies,Neurological,11.09,0.65,7.93,0-18,Other,267522,73.08,2.54,6.89,Medication,21106.0,No,81.35,3018.0,2.55,84185.0,0.7,64.64 +26349,Nigeria,2015,Rabies,Chronic,12.19,7.51,4.28,19-35,Female,89534,81.1,4.88,2.94,Surgery,12073.0,No,78.93,1785.0,9.68,83138.0,0.72,83.0 +26354,Japan,2021,Malaria,Chronic,11.58,10.73,4.99,19-35,Other,820504,52.97,1.25,5.78,Vaccination,24977.0,No,69.1,4204.0,4.23,77918.0,0.89,65.99 +26358,Japan,2017,Zika,Autoimmune,4.6,7.62,2.4,61+,Female,348965,87.2,2.81,5.3,Vaccination,18383.0,No,84.33,429.0,1.09,4738.0,0.8,37.6 +26364,Nigeria,2020,Leprosy,Chronic,13.57,13.71,7.68,36-60,Female,636249,82.48,4.03,1.76,Therapy,13452.0,No,93.08,3431.0,9.05,80274.0,0.72,67.09 +26365,Indonesia,2002,Cholera,Cardiovascular,19.95,8.83,7.24,61+,Other,501455,80.0,3.75,2.21,Therapy,20258.0,Yes,74.43,932.0,4.25,45583.0,0.81,69.2 +26370,Turkey,2020,Hypertension,Bacterial,14.26,13.83,2.79,0-18,Male,602908,79.57,4.78,1.07,Surgery,48051.0,No,95.34,2423.0,2.58,84782.0,0.73,25.88 +26374,South Korea,2005,Zika,Infectious,10.61,14.11,9.11,0-18,Male,887979,67.72,4.59,8.94,Vaccination,10780.0,Yes,91.01,2139.0,9.29,72200.0,0.69,72.72 +26375,Brazil,2007,Cancer,Neurological,4.19,2.73,9.23,36-60,Male,537393,53.93,3.99,7.31,Medication,19793.0,Yes,52.77,1453.0,7.07,8913.0,0.55,55.98 +26386,France,2012,Influenza,Respiratory,19.49,14.72,0.75,0-18,Female,411925,60.53,1.11,2.49,Vaccination,20936.0,Yes,70.0,2950.0,0.98,89067.0,0.76,85.98 +26388,India,2013,Malaria,Metabolic,5.44,4.67,4.93,19-35,Male,390238,77.95,0.64,0.52,Surgery,27358.0,No,59.46,746.0,3.33,47007.0,0.9,78.52 +26394,Russia,2014,Alzheimer's Disease,Parasitic,8.12,5.57,7.47,19-35,Other,866361,57.29,0.73,5.74,Surgery,12151.0,Yes,64.42,3670.0,5.77,2939.0,0.81,74.28 +26395,Italy,2024,Tuberculosis,Bacterial,5.43,11.56,1.62,0-18,Other,592531,73.94,2.18,5.44,Vaccination,2606.0,No,55.82,857.0,1.63,68931.0,0.51,30.71 +26397,Nigeria,2021,Influenza,Neurological,5.11,0.49,0.74,0-18,Male,720155,96.4,1.73,7.9,Medication,37479.0,No,81.99,1183.0,4.58,21511.0,0.87,63.5 +26401,South Korea,2000,Measles,Genetic,11.96,10.28,3.0,36-60,Male,928612,68.09,0.81,4.26,Medication,37766.0,No,56.16,2908.0,0.31,22761.0,0.59,56.41 +26403,USA,2008,Rabies,Bacterial,14.07,0.48,7.65,0-18,Other,853533,66.22,2.9,8.28,Surgery,7811.0,Yes,60.54,24.0,2.43,39403.0,0.56,28.13 +26404,Italy,2019,Hepatitis,Chronic,1.6,9.13,6.63,0-18,Other,939857,77.47,1.83,8.39,Therapy,22640.0,No,67.86,2279.0,4.12,88219.0,0.64,50.85 +26408,Saudi Arabia,2009,Measles,Infectious,11.71,14.28,2.83,36-60,Female,506972,83.54,2.35,9.04,Vaccination,30182.0,No,95.97,2673.0,7.47,24828.0,0.74,36.52 +26430,Mexico,2016,Alzheimer's Disease,Bacterial,12.0,2.94,6.45,0-18,Male,612007,55.41,3.78,1.21,Therapy,35693.0,Yes,89.04,92.0,6.87,73025.0,0.82,41.54 +26442,Argentina,2017,Ebola,Infectious,16.09,13.56,7.15,61+,Male,294458,72.25,3.57,2.16,Medication,27845.0,Yes,97.65,3228.0,7.43,96953.0,0.84,32.37 +26449,Germany,2024,COVID-19,Metabolic,7.48,9.12,5.28,36-60,Other,436913,97.95,4.06,3.44,Medication,3556.0,No,86.59,2237.0,9.7,19465.0,0.66,87.09 +26450,Australia,2001,Hypertension,Cardiovascular,17.45,7.84,8.86,61+,Male,684281,53.28,2.19,0.52,Medication,26266.0,No,80.53,4605.0,6.46,39099.0,0.7,78.35 +26452,Australia,2009,COVID-19,Chronic,0.56,11.03,3.11,61+,Male,334170,59.32,3.75,6.88,Medication,6583.0,Yes,53.6,4526.0,4.57,97348.0,0.53,63.24 +26454,France,2011,Diabetes,Parasitic,18.18,0.69,0.95,36-60,Other,619677,60.65,3.55,4.23,Vaccination,49948.0,No,70.55,1886.0,4.44,53365.0,0.79,62.51 +26458,Argentina,2007,Polio,Autoimmune,5.57,7.03,8.32,19-35,Male,181924,94.47,1.06,4.47,Therapy,46391.0,No,98.38,1762.0,0.61,88399.0,0.46,33.2 +26459,Italy,2009,Cancer,Infectious,4.51,6.6,4.05,61+,Other,131061,75.75,0.95,4.35,Medication,35286.0,No,65.46,4521.0,5.49,7652.0,0.46,82.27 +26466,India,2012,Diabetes,Bacterial,10.67,14.08,5.74,0-18,Other,128259,53.89,2.02,8.37,Surgery,13773.0,Yes,85.13,3597.0,7.64,58620.0,0.81,44.83 +26470,USA,2010,Hepatitis,Neurological,0.85,5.56,6.27,61+,Male,704469,61.59,3.27,9.39,Medication,41247.0,No,55.46,2244.0,5.05,93072.0,0.9,29.12 +26478,Australia,2015,Hypertension,Genetic,1.36,10.53,8.19,0-18,Male,658446,69.57,2.28,4.09,Therapy,4494.0,No,89.62,2414.0,4.97,51355.0,0.66,44.75 +26480,UK,2000,Hepatitis,Viral,8.45,0.64,2.86,19-35,Male,104476,69.89,3.97,1.89,Surgery,48131.0,No,97.32,3149.0,0.65,56014.0,0.71,84.55 +26481,Mexico,2015,Cholera,Metabolic,8.22,6.07,4.56,0-18,Other,403963,56.45,2.62,9.18,Medication,34185.0,Yes,55.51,1523.0,3.81,55146.0,0.89,40.54 +26488,India,2014,Parkinson's Disease,Neurological,17.09,8.52,1.66,36-60,Other,734411,75.99,4.94,5.52,Surgery,42880.0,Yes,84.15,1168.0,0.31,43638.0,0.71,87.39 +26489,USA,2013,Hepatitis,Autoimmune,8.22,10.05,9.55,36-60,Female,986145,64.05,0.52,5.95,Surgery,1638.0,Yes,51.43,1440.0,2.97,65067.0,0.84,67.55 +26492,Indonesia,2021,Parkinson's Disease,Genetic,18.7,1.17,0.45,0-18,Other,314224,82.44,3.87,9.98,Vaccination,48558.0,No,86.7,4109.0,9.83,9989.0,0.78,37.16 +26494,Germany,2023,Cholera,Parasitic,7.18,3.22,2.02,0-18,Other,958110,54.5,0.79,7.44,Surgery,28871.0,No,57.84,687.0,6.08,19471.0,0.47,54.29 +26495,South Africa,2011,Hypertension,Infectious,15.95,8.79,0.95,0-18,Other,668426,71.79,1.52,1.93,Surgery,19579.0,No,87.38,2673.0,1.27,9519.0,0.64,63.42 +26500,Argentina,2016,Influenza,Cardiovascular,15.05,10.48,2.48,19-35,Female,703526,52.45,3.32,3.28,Surgery,3733.0,No,58.23,2289.0,6.33,47665.0,0.42,49.17 +26505,Argentina,2017,Rabies,Neurological,4.97,12.13,4.81,36-60,Male,510585,55.03,2.11,6.03,Therapy,11483.0,No,62.45,3919.0,9.01,43593.0,0.53,63.67 +26507,Russia,2007,Polio,Autoimmune,8.83,3.18,2.9,61+,Other,220333,80.27,2.16,3.22,Therapy,30118.0,No,98.64,596.0,3.84,35943.0,0.47,74.51 +26521,South Korea,2011,Dengue,Cardiovascular,4.34,9.15,5.4,61+,Other,175004,85.25,4.36,8.89,Vaccination,44104.0,No,90.52,422.0,4.96,99734.0,0.45,47.85 +26523,Australia,2018,Dengue,Metabolic,14.93,4.01,3.29,61+,Other,245765,93.57,2.06,2.08,Surgery,42281.0,Yes,58.35,563.0,6.28,60118.0,0.86,33.01 +26524,Mexico,2024,Hypertension,Metabolic,13.77,8.68,0.59,36-60,Male,204314,55.65,4.41,5.77,Vaccination,39048.0,No,82.64,3896.0,6.13,83184.0,0.44,25.71 +26528,Argentina,2008,Polio,Neurological,15.68,1.43,6.32,19-35,Male,486111,70.35,2.99,7.92,Surgery,827.0,No,96.84,90.0,9.2,49871.0,0.85,56.23 +26549,South Korea,2012,Rabies,Metabolic,2.98,5.57,7.75,19-35,Male,847535,67.5,4.24,7.23,Medication,232.0,No,85.22,3093.0,1.6,77302.0,0.85,51.17 +26550,South Korea,2009,Asthma,Infectious,7.38,9.34,4.73,61+,Other,381847,71.33,1.86,6.06,Surgery,46531.0,No,81.79,3334.0,6.53,61216.0,0.58,73.57 +26556,South Africa,2006,Asthma,Bacterial,6.25,7.67,4.39,0-18,Other,286352,52.65,1.49,0.94,Therapy,9862.0,No,83.47,4667.0,8.28,38866.0,0.7,85.02 +26559,Brazil,2018,Measles,Cardiovascular,1.97,12.44,4.3,19-35,Male,48032,56.81,3.84,9.99,Vaccination,10231.0,No,80.82,1247.0,9.53,92476.0,0.64,33.68 +26565,Saudi Arabia,2003,Diabetes,Chronic,18.63,6.13,2.61,0-18,Male,871078,83.12,1.01,6.14,Vaccination,2970.0,No,71.59,2143.0,3.3,15534.0,0.83,66.05 +26569,Nigeria,2016,COVID-19,Genetic,15.08,6.03,8.4,61+,Male,697296,65.56,0.6,1.58,Surgery,32020.0,Yes,96.99,2410.0,2.39,85981.0,0.59,63.96 +26573,Brazil,2009,Alzheimer's Disease,Viral,7.98,1.63,9.05,19-35,Female,609586,68.07,0.63,5.49,Surgery,6497.0,Yes,63.66,2917.0,7.31,22988.0,0.76,49.49 +26574,South Korea,2024,Malaria,Bacterial,4.82,7.49,5.03,36-60,Male,85420,61.73,1.7,3.91,Surgery,17719.0,Yes,61.83,2586.0,8.7,52539.0,0.42,63.91 +26579,Italy,2005,Tuberculosis,Chronic,13.04,13.83,5.81,61+,Male,273387,54.83,3.28,7.65,Medication,46094.0,Yes,61.59,3598.0,1.92,60125.0,0.66,64.35 +26581,Mexico,2012,Alzheimer's Disease,Bacterial,2.25,4.16,3.64,36-60,Other,566854,97.55,3.07,2.69,Vaccination,31882.0,Yes,55.9,1040.0,4.97,25537.0,0.44,83.77 +26584,Italy,2020,Tuberculosis,Metabolic,4.02,10.99,6.12,61+,Male,591588,86.32,0.78,4.76,Vaccination,13851.0,No,51.28,2533.0,8.86,30041.0,0.89,68.54 +26588,South Korea,2002,Ebola,Chronic,14.02,2.37,6.82,36-60,Other,164437,79.02,2.9,1.25,Therapy,4877.0,Yes,65.89,4672.0,9.72,12908.0,0.5,75.8 +26589,South Africa,2002,Hepatitis,Bacterial,13.94,7.32,7.85,61+,Male,771382,87.96,1.63,3.06,Therapy,15489.0,No,79.38,4310.0,3.62,55091.0,0.9,55.93 +26590,Japan,2005,Alzheimer's Disease,Cardiovascular,17.63,1.38,3.16,36-60,Other,638616,82.76,0.97,4.07,Vaccination,21810.0,Yes,96.97,1295.0,8.71,33108.0,0.9,26.69 +26596,Italy,2005,Diabetes,Respiratory,4.98,7.23,9.36,36-60,Female,506658,77.79,3.25,5.14,Medication,44453.0,Yes,78.74,554.0,1.13,43919.0,0.55,59.99 +26598,Japan,2005,Cholera,Genetic,7.66,10.8,9.66,19-35,Male,276538,90.99,3.11,8.49,Therapy,34282.0,No,67.99,3992.0,6.13,57766.0,0.54,55.32 +26601,Argentina,2003,Ebola,Chronic,15.49,0.73,4.0,61+,Male,535350,95.02,3.47,6.83,Therapy,34143.0,Yes,61.06,3753.0,2.36,51828.0,0.64,36.91 +26610,UK,2017,Hypertension,Chronic,2.53,12.85,3.29,36-60,Other,363935,72.75,0.62,1.82,Medication,24495.0,No,98.65,1217.0,3.41,84876.0,0.7,70.52 +26611,Italy,2022,Malaria,Metabolic,17.86,14.5,8.9,0-18,Female,695579,78.96,3.21,2.16,Vaccination,21620.0,No,55.81,1079.0,8.1,65524.0,0.67,70.89 +26617,South Africa,2017,Diabetes,Metabolic,16.03,7.91,5.78,19-35,Other,52354,64.19,4.9,4.62,Therapy,21425.0,Yes,65.61,3981.0,4.1,39370.0,0.69,82.17 +26619,China,2004,Malaria,Respiratory,8.13,3.92,5.4,0-18,Female,945781,57.65,3.62,9.39,Surgery,8351.0,Yes,97.05,1996.0,3.06,87733.0,0.45,20.08 +26627,Nigeria,2005,Diabetes,Parasitic,10.37,0.85,0.18,61+,Female,957628,88.56,1.8,1.34,Vaccination,29078.0,No,97.95,4176.0,8.95,95340.0,0.47,63.53 +26632,Argentina,2018,Influenza,Autoimmune,4.66,8.05,1.27,0-18,Female,255071,69.12,1.85,9.46,Vaccination,8157.0,Yes,77.76,2103.0,4.99,77525.0,0.7,53.18 +26635,India,2020,Asthma,Cardiovascular,16.62,14.83,2.37,19-35,Male,239457,64.18,3.94,8.27,Vaccination,22335.0,No,68.21,2884.0,1.14,70912.0,0.5,28.79 +26653,Argentina,2020,Influenza,Autoimmune,7.33,5.47,7.63,0-18,Other,895479,95.61,0.62,4.09,Medication,10177.0,No,74.52,2365.0,7.43,50674.0,0.43,33.86 +26658,Japan,2019,Hepatitis,Metabolic,2.89,6.54,0.64,36-60,Female,238011,80.33,3.53,4.92,Therapy,15219.0,Yes,53.48,2889.0,9.74,36597.0,0.72,65.21 +26663,South Africa,2022,Malaria,Autoimmune,0.81,10.74,0.96,19-35,Other,404399,64.6,3.9,1.48,Surgery,6589.0,No,96.08,1861.0,7.35,64346.0,0.53,24.19 +26664,USA,2006,Tuberculosis,Infectious,9.85,12.43,8.77,0-18,Other,800409,73.43,1.93,5.84,Surgery,26522.0,Yes,63.6,1943.0,7.6,40634.0,0.79,20.77 +26674,China,2011,Hepatitis,Autoimmune,15.01,6.05,8.58,36-60,Female,561703,63.72,3.98,2.84,Vaccination,43941.0,Yes,71.06,3790.0,9.82,48073.0,0.64,56.71 +26676,Canada,2013,Alzheimer's Disease,Autoimmune,10.79,6.73,5.23,36-60,Other,326400,92.02,4.74,5.35,Vaccination,5867.0,No,62.84,1698.0,5.0,84138.0,0.82,43.06 +26681,Turkey,2015,Hepatitis,Parasitic,9.94,13.67,7.73,61+,Other,574733,61.21,1.88,7.83,Surgery,49582.0,Yes,97.55,1600.0,6.77,27339.0,0.52,41.81 +26687,Japan,2013,Ebola,Chronic,6.48,8.91,1.47,36-60,Other,737048,69.13,1.82,5.57,Medication,19422.0,No,80.09,633.0,0.33,89576.0,0.75,57.58 +26689,Brazil,2020,Cancer,Chronic,5.59,13.41,0.95,19-35,Female,845809,82.65,2.19,1.63,Vaccination,25931.0,No,63.07,3712.0,0.76,58873.0,0.45,48.12 +26691,Canada,2008,Polio,Respiratory,14.21,2.91,3.63,61+,Female,198141,89.83,3.35,6.13,Medication,43215.0,No,67.57,1522.0,3.14,93042.0,0.83,24.62 +26702,Indonesia,2000,Influenza,Viral,11.59,5.25,3.35,19-35,Other,470526,68.06,0.8,6.13,Medication,32973.0,No,60.36,4566.0,0.28,87209.0,0.61,68.27 +26709,Japan,2000,HIV/AIDS,Viral,2.86,2.89,0.71,19-35,Female,264990,62.97,4.17,7.28,Therapy,30231.0,No,83.71,3889.0,1.97,3445.0,0.73,23.15 +26711,Turkey,2001,Hepatitis,Bacterial,7.89,10.77,0.35,61+,Other,603318,83.51,0.78,4.51,Surgery,13725.0,Yes,60.86,3041.0,2.0,5150.0,0.63,70.03 +26714,Nigeria,2016,Hepatitis,Metabolic,12.62,7.9,2.89,0-18,Female,345695,51.96,2.07,5.2,Surgery,15687.0,No,86.67,682.0,8.6,49689.0,0.84,41.38 +26724,South Africa,2008,Ebola,Genetic,10.45,3.97,8.66,61+,Male,51144,85.85,4.97,1.23,Surgery,26998.0,No,83.32,470.0,1.71,26877.0,0.46,57.84 +26731,Indonesia,2019,Asthma,Neurological,12.69,11.58,3.31,61+,Male,826868,73.27,1.7,9.31,Medication,11311.0,Yes,94.97,4405.0,1.11,71143.0,0.61,41.44 +26732,Indonesia,2000,Dengue,Cardiovascular,14.49,5.13,9.29,36-60,Male,848751,57.23,1.04,4.27,Vaccination,41070.0,Yes,67.06,888.0,7.63,68009.0,0.68,88.57 +26733,Australia,2019,Malaria,Respiratory,13.57,4.97,6.77,19-35,Other,532079,50.54,4.11,6.28,Therapy,8337.0,No,73.14,667.0,8.22,10106.0,0.72,29.79 +26741,Nigeria,2014,Diabetes,Parasitic,8.13,14.54,6.03,36-60,Female,470683,56.04,3.77,6.07,Vaccination,7175.0,Yes,59.54,3949.0,4.6,23058.0,0.57,26.59 +26746,Turkey,2017,Tuberculosis,Neurological,16.13,9.07,5.64,19-35,Male,764619,52.35,0.99,0.98,Medication,6561.0,Yes,93.5,1029.0,3.06,9871.0,0.52,34.69 +26748,USA,2010,Rabies,Metabolic,9.69,11.09,5.27,61+,Female,797647,67.37,0.99,2.56,Medication,27995.0,Yes,83.79,2138.0,6.12,18228.0,0.58,36.39 +26757,Russia,2000,Hepatitis,Parasitic,9.36,7.5,2.39,19-35,Other,997532,88.24,1.87,7.69,Medication,48367.0,Yes,78.27,508.0,6.51,43428.0,0.87,40.31 +26765,Brazil,2008,Zika,Cardiovascular,6.07,13.64,3.19,36-60,Male,739842,62.22,4.44,1.9,Therapy,13731.0,Yes,55.77,944.0,4.91,36355.0,0.46,85.23 +26770,China,2005,Asthma,Respiratory,6.25,11.72,8.06,19-35,Other,851355,83.14,3.72,5.64,Vaccination,21756.0,Yes,56.17,1581.0,1.48,56074.0,0.9,45.6 +26782,Germany,2019,Zika,Infectious,12.13,11.42,0.43,0-18,Other,588147,51.29,1.65,7.41,Medication,3685.0,Yes,65.85,1104.0,9.75,20081.0,0.41,69.88 +26785,UK,2022,Hypertension,Parasitic,9.12,12.48,1.63,36-60,Other,243443,58.32,1.0,7.41,Surgery,15745.0,Yes,80.26,2222.0,3.49,7459.0,0.6,52.28 +26787,Russia,2019,Hypertension,Bacterial,7.17,5.89,4.85,0-18,Female,864992,82.86,3.94,9.49,Medication,28939.0,Yes,82.04,2762.0,2.0,60875.0,0.55,57.92 +26789,Russia,2007,HIV/AIDS,Metabolic,4.46,0.12,3.63,19-35,Male,248507,76.02,3.46,6.46,Medication,38896.0,Yes,74.41,302.0,1.45,87402.0,0.54,79.98 +26794,Indonesia,2001,Cancer,Respiratory,15.02,12.5,5.8,19-35,Other,854092,73.94,4.48,5.32,Therapy,36593.0,No,97.53,3012.0,0.48,59582.0,0.88,40.66 +26799,India,2016,Malaria,Cardiovascular,5.59,9.11,8.89,0-18,Female,18678,85.05,0.99,7.0,Surgery,1714.0,No,72.81,2884.0,6.49,82236.0,0.75,85.46 +26802,China,2018,Measles,Bacterial,10.13,1.1,3.34,36-60,Other,784072,59.28,1.36,3.82,Surgery,40043.0,Yes,90.14,3707.0,2.92,76631.0,0.42,34.15 +26806,Italy,2019,COVID-19,Infectious,8.9,13.0,2.46,61+,Female,446496,82.75,3.77,5.86,Medication,16349.0,No,98.24,58.0,6.04,15687.0,0.84,73.77 +26807,Russia,2013,Alzheimer's Disease,Cardiovascular,0.13,2.11,3.63,0-18,Other,20719,94.18,1.99,9.79,Surgery,27980.0,Yes,92.25,3800.0,5.64,98352.0,0.79,77.19 +26814,South Korea,2012,Parkinson's Disease,Neurological,17.54,5.6,4.61,61+,Female,471602,87.99,4.99,9.46,Medication,6777.0,No,82.26,496.0,9.32,41635.0,0.57,76.34 +26815,Germany,2000,Ebola,Respiratory,19.15,11.3,4.29,61+,Male,19391,91.93,1.59,1.86,Surgery,10092.0,No,63.29,1787.0,2.97,28042.0,0.5,87.64 +26818,South Africa,2010,Cancer,Viral,13.53,8.44,9.89,36-60,Male,499067,93.21,0.69,4.27,Therapy,28946.0,Yes,75.36,2755.0,4.77,53626.0,0.41,47.13 +26823,South Africa,2023,COVID-19,Respiratory,4.39,13.41,0.55,61+,Female,712033,67.95,4.07,2.34,Medication,23608.0,Yes,51.07,1233.0,5.22,25713.0,0.82,51.27 +26825,China,2024,Cholera,Chronic,8.41,13.32,4.67,61+,Female,599408,77.06,3.56,9.87,Vaccination,12688.0,No,80.12,313.0,1.83,67165.0,0.69,60.4 +26832,India,2009,Cholera,Cardiovascular,19.17,9.77,3.62,19-35,Male,563584,99.07,4.98,2.7,Surgery,41251.0,No,89.03,3263.0,8.2,83944.0,0.53,39.85 +26836,Saudi Arabia,2023,Cancer,Parasitic,12.0,14.02,5.77,36-60,Female,115592,90.14,4.12,9.73,Medication,33569.0,Yes,68.4,1898.0,3.6,60798.0,0.72,26.94 +26838,India,2010,Asthma,Autoimmune,3.88,10.12,2.08,19-35,Other,784926,61.71,4.44,0.73,Medication,8710.0,Yes,72.63,663.0,2.33,66268.0,0.56,49.23 +26839,Brazil,2007,Ebola,Cardiovascular,17.81,10.94,6.44,36-60,Other,504295,65.66,1.79,3.55,Therapy,27052.0,Yes,72.57,1160.0,5.04,32457.0,0.67,76.05 +26853,Canada,2018,Tuberculosis,Metabolic,8.52,2.32,1.01,36-60,Other,330234,66.8,1.8,9.24,Surgery,35687.0,Yes,60.04,4763.0,2.55,47898.0,0.88,59.93 +26855,India,2020,Rabies,Genetic,5.32,0.27,5.06,36-60,Male,676334,69.8,0.89,5.16,Surgery,32765.0,Yes,58.6,4553.0,4.6,33538.0,0.8,63.34 +26856,USA,2023,Tuberculosis,Parasitic,6.04,1.41,1.43,19-35,Female,768686,92.68,4.45,3.71,Therapy,37131.0,Yes,85.15,1372.0,5.08,99675.0,0.8,61.98 +26862,Italy,2001,COVID-19,Respiratory,8.41,8.19,0.4,0-18,Other,230350,57.79,1.91,7.34,Therapy,28945.0,No,69.85,666.0,4.94,84749.0,0.56,31.46 +26863,Saudi Arabia,2004,Rabies,Genetic,12.14,6.1,7.42,36-60,Female,787618,96.84,3.03,9.32,Vaccination,19172.0,No,91.32,1229.0,4.0,25595.0,0.82,58.77 +26864,Mexico,2017,Cholera,Viral,1.33,11.47,2.53,36-60,Male,403511,50.33,2.08,3.39,Medication,48460.0,No,53.97,447.0,9.57,54908.0,0.46,24.88 +26866,Indonesia,2023,Alzheimer's Disease,Bacterial,13.67,8.84,8.54,19-35,Female,913926,91.32,4.39,8.75,Vaccination,3685.0,Yes,83.59,1886.0,9.88,79610.0,0.55,76.39 +26872,India,2003,Cholera,Infectious,5.33,11.59,1.01,19-35,Male,925624,96.14,3.88,2.2,Surgery,42307.0,No,51.82,4730.0,6.51,87967.0,0.63,52.78 +26875,UK,2018,Asthma,Genetic,1.04,1.68,2.78,19-35,Male,245921,56.77,3.95,9.55,Vaccination,41126.0,No,61.5,2113.0,8.51,21127.0,0.56,34.96 +26887,Saudi Arabia,2011,Measles,Metabolic,8.05,13.85,7.14,61+,Male,765060,76.48,2.83,9.33,Therapy,7895.0,No,96.81,60.0,0.12,99138.0,0.69,35.41 +26888,Nigeria,2004,Hypertension,Viral,0.14,5.34,7.84,19-35,Male,894350,84.72,2.87,9.22,Surgery,8203.0,No,79.88,2324.0,1.18,92484.0,0.84,21.3 +26897,Mexico,2006,Cholera,Chronic,9.86,11.14,6.42,61+,Male,694208,53.31,4.56,9.73,Surgery,37172.0,No,54.25,1946.0,5.45,90906.0,0.75,88.53 +26906,South Korea,2000,Zika,Genetic,12.9,3.57,0.56,61+,Other,932127,71.11,4.93,6.64,Surgery,27847.0,Yes,60.33,1852.0,9.72,3903.0,0.53,75.18 +26916,USA,2001,Tuberculosis,Chronic,12.66,12.59,5.9,19-35,Male,791262,64.78,1.7,5.92,Vaccination,16162.0,Yes,52.83,762.0,6.12,31953.0,0.81,88.03 +26919,India,2020,Parkinson's Disease,Genetic,3.75,11.96,7.63,19-35,Female,336469,86.87,1.36,5.32,Medication,26345.0,No,91.93,272.0,5.94,92602.0,0.68,42.78 +26922,Argentina,2003,Tuberculosis,Genetic,14.34,9.34,5.34,61+,Male,444570,65.68,4.99,7.83,Vaccination,3786.0,No,87.53,4352.0,8.2,42811.0,0.65,23.48 +26925,China,2008,Cancer,Autoimmune,10.83,10.44,0.46,36-60,Other,384544,90.56,2.25,4.32,Medication,46754.0,No,65.84,630.0,2.84,65070.0,0.46,68.57 +26930,Australia,2019,Malaria,Parasitic,1.0,7.83,0.84,19-35,Female,924495,56.89,4.07,4.61,Surgery,1414.0,Yes,84.52,1717.0,9.2,23853.0,0.49,67.54 +26934,Japan,2023,Diabetes,Parasitic,19.78,14.72,1.77,19-35,Other,126037,83.8,2.12,1.63,Medication,1908.0,No,79.13,1823.0,0.27,8564.0,0.75,46.59 +26935,South Africa,2010,Malaria,Cardiovascular,3.28,6.91,3.73,61+,Female,641434,57.98,2.35,4.07,Medication,46162.0,No,73.34,607.0,5.24,45575.0,0.41,29.51 +26937,Argentina,2019,Hypertension,Chronic,1.14,2.48,3.75,61+,Female,296661,79.31,3.87,1.95,Surgery,48147.0,No,88.88,1580.0,8.85,53993.0,0.44,76.83 +26940,Italy,2013,Dengue,Cardiovascular,5.73,1.1,3.26,19-35,Other,679482,80.41,0.92,7.47,Medication,42563.0,No,78.89,4551.0,0.28,53768.0,0.76,82.74 +26952,UK,2008,Tuberculosis,Viral,13.08,12.91,9.26,19-35,Other,162493,82.63,1.19,2.09,Therapy,9127.0,Yes,92.62,1942.0,9.1,89791.0,0.74,51.0 +26953,India,2015,Asthma,Viral,17.96,12.05,5.95,19-35,Female,339252,93.89,2.66,7.67,Therapy,9753.0,Yes,66.65,3477.0,5.96,49402.0,0.87,61.82 +26959,UK,2022,HIV/AIDS,Autoimmune,12.2,8.63,8.89,19-35,Female,152882,74.44,4.76,2.8,Surgery,36204.0,Yes,74.72,1030.0,8.26,18478.0,0.43,87.82 +26965,USA,2022,Cholera,Cardiovascular,3.5,7.73,8.82,36-60,Other,220956,59.76,2.34,2.98,Vaccination,39587.0,Yes,59.8,2622.0,6.21,65449.0,0.6,72.29 +26975,Japan,2020,Polio,Neurological,11.76,13.03,4.35,61+,Other,843833,62.89,1.95,1.18,Surgery,5037.0,Yes,70.83,2653.0,4.4,5059.0,0.45,32.77 +26982,Nigeria,2020,Polio,Viral,17.83,7.18,3.73,0-18,Female,990775,75.17,1.03,5.73,Vaccination,666.0,No,59.47,2824.0,6.23,14252.0,0.71,24.08 +26984,Canada,2008,Alzheimer's Disease,Infectious,7.12,7.11,6.83,36-60,Other,467173,96.75,3.15,7.25,Therapy,48855.0,No,56.98,4504.0,6.13,8350.0,0.52,41.54 +26985,Canada,2009,Ebola,Neurological,14.24,4.72,9.76,36-60,Other,138716,74.87,2.72,6.64,Vaccination,42128.0,No,55.16,3164.0,1.52,66492.0,0.5,22.28 +26986,Russia,2000,Diabetes,Parasitic,2.97,11.5,6.5,61+,Other,249042,59.63,0.8,9.68,Medication,21131.0,Yes,58.04,4586.0,7.23,28231.0,0.48,30.95 +26993,South Africa,2017,Alzheimer's Disease,Genetic,8.63,10.95,6.36,36-60,Female,592480,65.44,1.69,1.34,Medication,23789.0,No,51.85,1111.0,2.99,34674.0,0.76,79.55 +26997,Argentina,2014,Cancer,Autoimmune,5.68,3.17,9.91,0-18,Female,359039,90.61,3.07,6.64,Vaccination,9408.0,No,68.1,4944.0,7.9,19718.0,0.77,55.54 +27000,India,2015,Dengue,Chronic,16.36,11.68,7.65,0-18,Other,54303,91.74,4.28,2.14,Therapy,44593.0,Yes,70.92,4802.0,1.17,55873.0,0.79,89.38 +27007,UK,2016,Influenza,Chronic,19.72,1.84,3.26,61+,Female,344611,67.22,2.35,5.69,Medication,5221.0,No,67.87,1143.0,1.25,25472.0,0.53,62.82 +27018,Brazil,2010,Hepatitis,Neurological,6.05,12.5,7.18,0-18,Female,166149,72.74,4.89,7.75,Medication,18837.0,Yes,63.56,2629.0,1.0,13764.0,0.73,63.43 +27026,Canada,2009,Ebola,Parasitic,12.93,10.48,5.55,36-60,Female,321718,59.94,4.46,6.1,Vaccination,15188.0,Yes,92.19,1463.0,0.6,42265.0,0.49,42.79 +27031,Russia,2012,Ebola,Bacterial,12.66,11.11,2.47,0-18,Male,968222,55.6,3.77,4.11,Medication,17236.0,Yes,61.45,749.0,6.64,75676.0,0.43,81.01 +27033,Russia,2007,Cholera,Genetic,17.87,3.07,9.01,0-18,Male,112731,59.62,4.8,6.27,Therapy,27949.0,Yes,82.79,3346.0,1.6,831.0,0.58,55.3 +27035,India,2003,Cancer,Neurological,14.21,1.74,2.7,19-35,Female,359389,89.41,0.92,6.95,Therapy,34306.0,No,63.27,4935.0,4.4,68447.0,0.42,57.12 +27039,South Africa,2018,Parkinson's Disease,Metabolic,1.8,10.86,6.21,36-60,Other,327597,65.42,4.66,0.91,Therapy,32091.0,No,67.21,736.0,6.61,41191.0,0.48,45.72 +27040,Canada,2017,Influenza,Genetic,19.9,13.96,4.41,61+,Male,286797,64.07,4.93,5.26,Vaccination,35695.0,Yes,61.91,60.0,2.75,51578.0,0.66,82.54 +27059,Mexico,2020,Measles,Metabolic,18.51,8.34,8.49,36-60,Male,388145,63.37,1.59,9.91,Vaccination,43956.0,No,73.05,3256.0,4.61,67259.0,0.55,50.95 +27060,Canada,2024,HIV/AIDS,Infectious,19.59,7.28,7.31,0-18,Other,542293,58.99,2.75,7.41,Vaccination,31868.0,Yes,68.42,4513.0,9.15,42332.0,0.75,79.9 +27062,Turkey,2000,Hypertension,Neurological,9.15,6.52,2.02,19-35,Other,737786,61.4,1.24,9.47,Vaccination,10443.0,Yes,65.01,98.0,9.54,54722.0,0.81,77.67 +27075,Russia,2019,Asthma,Respiratory,6.64,6.89,2.07,0-18,Female,717267,65.92,3.75,6.27,Vaccination,35462.0,Yes,68.13,3685.0,1.24,76008.0,0.55,82.28 +27077,Argentina,2015,Dengue,Infectious,6.56,0.93,3.51,36-60,Other,311732,69.78,4.23,5.49,Vaccination,35597.0,No,91.82,2088.0,7.04,39720.0,0.52,87.82 +27078,UK,2009,Ebola,Neurological,8.1,2.41,1.43,19-35,Male,557266,60.85,1.05,7.4,Medication,43175.0,Yes,78.34,2724.0,8.11,5779.0,0.55,81.64 +27087,Nigeria,2016,Alzheimer's Disease,Metabolic,2.16,8.2,4.95,61+,Other,566951,89.73,2.07,8.13,Medication,18657.0,No,93.91,2013.0,9.99,78316.0,0.66,41.98 +27090,South Korea,2001,Parkinson's Disease,Bacterial,18.7,4.33,9.06,19-35,Other,36102,90.32,3.34,7.47,Vaccination,12757.0,No,76.56,2267.0,3.58,6547.0,0.46,82.63 +27099,USA,2012,Ebola,Infectious,17.01,4.28,6.34,0-18,Other,526621,58.71,2.55,7.39,Therapy,4374.0,No,82.01,797.0,7.93,19620.0,0.46,28.0 +27100,Mexico,2015,COVID-19,Neurological,16.29,7.72,9.27,0-18,Other,303792,76.56,1.26,1.83,Therapy,4412.0,No,54.71,3299.0,0.5,10767.0,0.63,76.24 +27113,Russia,2020,Asthma,Respiratory,4.29,3.15,4.14,19-35,Other,217110,70.75,0.65,8.64,Surgery,36592.0,Yes,80.62,1662.0,5.12,88911.0,0.89,46.78 +27124,Brazil,2000,Influenza,Autoimmune,12.17,6.39,9.42,61+,Male,657600,59.01,2.27,2.82,Therapy,44275.0,No,57.91,4986.0,9.77,41285.0,0.65,62.8 +27129,UK,2014,Diabetes,Genetic,1.34,1.9,9.62,19-35,Other,464735,81.23,2.4,5.29,Surgery,3275.0,Yes,90.29,4577.0,4.8,91753.0,0.63,41.9 +27130,Canada,2022,Polio,Viral,2.7,10.32,3.79,19-35,Female,853511,52.95,1.37,3.3,Medication,38977.0,No,77.46,104.0,7.98,58250.0,0.75,51.08 +27131,Saudi Arabia,2019,Parkinson's Disease,Bacterial,15.97,14.86,2.92,61+,Male,314338,64.62,4.56,4.07,Surgery,9754.0,Yes,90.86,3182.0,3.75,66051.0,0.77,58.51 +27134,Germany,2019,Hypertension,Autoimmune,9.82,4.84,1.42,61+,Male,914424,60.98,4.2,2.35,Vaccination,42083.0,No,61.68,383.0,3.46,20284.0,0.46,60.61 +27135,Brazil,2016,Measles,Viral,13.03,11.25,2.44,61+,Male,687520,56.03,3.5,1.43,Therapy,26764.0,Yes,83.2,1599.0,3.02,14132.0,0.71,86.97 +27139,Japan,2017,Malaria,Genetic,15.06,11.32,6.31,0-18,Male,623266,56.92,0.97,9.06,Surgery,24895.0,No,94.36,3364.0,0.37,45448.0,0.53,87.09 +27144,Saudi Arabia,2011,Hepatitis,Respiratory,15.65,14.58,6.84,0-18,Male,618613,95.12,3.32,1.84,Surgery,42694.0,Yes,60.23,504.0,5.4,83587.0,0.75,78.42 +27145,Argentina,2020,Dengue,Autoimmune,9.4,10.1,1.96,61+,Male,421459,91.21,2.27,3.87,Vaccination,22591.0,Yes,56.78,3885.0,7.22,68151.0,0.68,89.93 +27160,South Korea,2008,Cancer,Neurological,17.0,4.91,7.13,0-18,Other,542880,86.24,1.9,9.22,Surgery,36643.0,Yes,81.11,4565.0,5.76,68050.0,0.64,41.47 +27164,UK,2011,Polio,Neurological,18.33,1.0,1.09,19-35,Male,827047,53.75,2.38,6.6,Therapy,34011.0,Yes,61.13,4953.0,1.41,35419.0,0.64,26.46 +27175,Nigeria,2014,Hypertension,Infectious,6.79,3.85,3.03,61+,Other,31465,93.64,4.16,6.7,Therapy,49034.0,No,77.3,3886.0,9.58,86818.0,0.43,43.56 +27177,China,2012,Ebola,Genetic,13.2,9.5,9.82,36-60,Male,344401,82.13,4.95,8.46,Surgery,25574.0,Yes,96.24,4795.0,2.05,31768.0,0.66,29.66 +27180,France,2007,Zika,Respiratory,0.88,12.67,5.39,19-35,Other,889050,60.15,1.54,6.01,Medication,3308.0,No,53.61,311.0,3.97,32178.0,0.6,51.13 +27184,Nigeria,2019,HIV/AIDS,Bacterial,12.55,1.07,0.58,61+,Female,626759,54.99,2.13,7.68,Surgery,28441.0,Yes,58.17,3854.0,9.44,41574.0,0.75,51.05 +27193,South Korea,2001,Dengue,Respiratory,11.47,11.47,4.87,19-35,Female,984768,59.32,0.86,5.33,Vaccination,44523.0,No,61.91,134.0,1.2,63845.0,0.7,78.25 +27195,Turkey,2023,Cancer,Neurological,5.28,6.35,8.17,19-35,Other,976438,55.76,1.98,8.77,Surgery,22749.0,No,78.38,2296.0,8.8,39404.0,0.4,22.92 +27197,Saudi Arabia,2013,COVID-19,Neurological,2.63,1.79,7.76,36-60,Other,171224,92.79,0.7,2.96,Therapy,25156.0,Yes,76.88,1116.0,6.77,1441.0,0.89,48.95 +27199,India,2014,Asthma,Genetic,9.62,0.96,4.89,0-18,Female,589338,76.3,3.89,0.97,Vaccination,7857.0,Yes,52.63,3712.0,5.28,3668.0,0.73,52.34 +27202,Mexico,2015,Alzheimer's Disease,Metabolic,15.53,12.1,8.27,19-35,Male,436601,77.95,4.43,2.43,Therapy,33526.0,Yes,92.69,1440.0,3.26,70494.0,0.73,46.76 +27208,Australia,2020,Hepatitis,Bacterial,7.25,3.48,5.96,0-18,Male,356041,94.32,3.97,6.53,Surgery,9519.0,No,66.19,4102.0,3.95,80729.0,0.8,83.88 +27214,Canada,2008,Cholera,Cardiovascular,16.74,4.36,2.46,61+,Other,217356,98.61,3.7,8.38,Therapy,18396.0,No,91.11,124.0,3.93,44251.0,0.44,26.66 +27220,Brazil,2010,Measles,Neurological,8.06,2.74,3.17,61+,Other,521674,93.93,3.45,7.76,Therapy,26622.0,Yes,82.46,1301.0,5.39,75430.0,0.89,36.93 +27234,Turkey,2005,Hypertension,Parasitic,12.32,10.35,2.87,36-60,Male,145288,59.49,4.49,3.44,Therapy,8538.0,Yes,65.07,4413.0,8.16,2222.0,0.56,21.86 +27240,South Africa,2002,Zika,Bacterial,14.23,7.64,4.44,0-18,Male,951814,59.56,4.85,8.89,Vaccination,45973.0,No,69.08,2427.0,8.25,39009.0,0.77,46.56 +27246,India,2006,Cancer,Bacterial,8.57,8.8,4.1,19-35,Female,322425,60.53,4.5,5.05,Therapy,7487.0,Yes,50.31,2954.0,4.32,43355.0,0.7,52.08 +27255,USA,2008,Asthma,Chronic,19.01,0.54,1.01,36-60,Female,443207,64.65,2.07,8.62,Medication,47258.0,Yes,55.14,2805.0,7.36,83515.0,0.56,81.15 +27265,South Korea,2017,Measles,Respiratory,4.1,0.48,7.91,0-18,Female,277846,81.44,1.21,4.76,Surgery,29091.0,Yes,86.86,3367.0,7.52,44668.0,0.54,63.22 +27267,Mexico,2009,Leprosy,Cardiovascular,6.04,12.0,6.29,61+,Other,947640,58.74,1.04,1.87,Surgery,20239.0,Yes,88.49,4806.0,2.28,51781.0,0.69,78.21 +27272,South Africa,2019,Rabies,Autoimmune,7.08,9.19,3.04,0-18,Other,968620,61.01,3.02,1.78,Medication,39486.0,Yes,79.35,4427.0,1.13,59053.0,0.41,49.84 +27273,Australia,2004,Parkinson's Disease,Infectious,6.23,1.54,7.54,36-60,Male,127926,82.15,2.34,8.04,Therapy,3921.0,Yes,62.87,3441.0,2.58,36937.0,0.46,32.12 +27286,UK,2008,Hypertension,Neurological,6.14,13.55,1.57,19-35,Other,724526,52.47,2.39,5.54,Surgery,40136.0,No,75.53,1055.0,5.4,10752.0,0.67,29.5 +27295,Italy,2015,COVID-19,Respiratory,16.43,13.31,5.21,61+,Male,933462,63.27,4.94,9.88,Medication,28075.0,Yes,55.88,771.0,0.16,95660.0,0.66,32.72 +27297,Brazil,2011,Cancer,Metabolic,6.25,6.33,5.85,19-35,Female,671755,77.85,2.76,7.64,Medication,7726.0,Yes,76.55,282.0,2.12,36319.0,0.82,65.93 +27302,Russia,2013,Tuberculosis,Metabolic,18.37,0.63,0.96,19-35,Other,945364,51.58,4.92,9.63,Vaccination,7475.0,Yes,55.34,3282.0,9.74,31385.0,0.66,48.64 +27303,Russia,2013,Dengue,Bacterial,17.99,1.55,3.7,19-35,Female,618698,62.63,1.6,9.83,Medication,10046.0,No,89.85,357.0,9.2,77958.0,0.73,41.55 +27308,UK,2015,Zika,Cardiovascular,9.64,10.61,6.53,0-18,Male,34836,75.69,4.11,8.42,Vaccination,40608.0,Yes,89.8,4059.0,2.19,9464.0,0.81,80.99 +27309,Indonesia,2008,Alzheimer's Disease,Parasitic,5.02,3.54,4.4,0-18,Other,327757,91.15,2.59,6.54,Medication,13125.0,Yes,91.13,3810.0,5.08,79204.0,0.87,36.64 +27313,Nigeria,2018,Rabies,Respiratory,13.11,13.01,5.76,61+,Male,224916,68.01,4.09,2.97,Surgery,6907.0,No,67.25,3047.0,2.57,81839.0,0.83,46.41 +27316,Indonesia,2007,HIV/AIDS,Respiratory,6.79,10.71,3.88,61+,Other,592485,64.59,1.38,3.97,Medication,17593.0,No,72.49,1001.0,8.66,40499.0,0.52,42.49 +27332,Nigeria,2010,Polio,Parasitic,17.1,5.44,1.08,36-60,Other,276624,60.69,4.0,0.89,Therapy,25207.0,No,74.75,2646.0,9.0,33627.0,0.85,23.89 +27334,Germany,2000,Measles,Chronic,3.19,13.9,5.79,36-60,Female,214985,96.25,4.34,5.18,Medication,48752.0,No,63.77,27.0,8.43,54884.0,0.58,43.92 +27337,India,2023,Ebola,Genetic,7.2,0.29,4.86,61+,Male,713150,74.94,2.96,3.77,Surgery,11861.0,No,82.12,4150.0,4.24,41794.0,0.52,75.67 +27341,UK,2003,Cancer,Neurological,9.8,0.46,8.03,61+,Male,173577,96.81,3.89,3.37,Therapy,9339.0,Yes,84.21,3013.0,3.08,46029.0,0.4,24.0 +27342,Japan,2007,Polio,Infectious,3.71,11.24,9.75,19-35,Male,746562,81.81,0.53,2.92,Therapy,49514.0,No,96.95,3713.0,2.36,37646.0,0.57,30.63 +27350,Germany,2019,Alzheimer's Disease,Chronic,7.24,11.99,6.74,0-18,Other,666970,96.19,4.08,8.32,Vaccination,41931.0,No,53.84,4609.0,2.42,68975.0,0.54,89.07 +27351,Brazil,2023,Influenza,Infectious,14.23,12.23,9.9,36-60,Other,209173,74.35,3.06,0.54,Vaccination,43395.0,Yes,52.85,4470.0,1.9,74066.0,0.45,35.51 +27354,South Korea,2010,Hypertension,Autoimmune,2.9,8.67,1.59,36-60,Male,34800,84.25,3.69,4.4,Therapy,40101.0,No,81.32,1525.0,9.0,8214.0,0.75,60.53 +27362,South Africa,2013,Zika,Viral,15.82,14.98,7.69,19-35,Male,277315,77.99,4.74,0.94,Vaccination,29643.0,No,53.64,857.0,3.02,95862.0,0.79,89.9 +27363,Japan,2022,Asthma,Parasitic,14.4,12.33,5.65,19-35,Male,796919,53.21,0.6,6.31,Surgery,28262.0,Yes,86.6,4866.0,8.69,99565.0,0.78,30.95 +27364,Russia,2014,Dengue,Viral,6.53,2.08,6.76,0-18,Other,126675,65.45,3.32,1.55,Medication,22801.0,Yes,80.59,302.0,8.74,75962.0,0.76,49.94 +27365,Mexico,2000,Hypertension,Infectious,2.94,6.43,9.65,36-60,Female,793718,78.24,1.49,5.03,Surgery,26574.0,Yes,78.19,3845.0,8.9,31358.0,0.81,75.68 +27371,Australia,2004,Rabies,Chronic,18.78,4.31,4.85,61+,Female,145101,68.19,2.24,9.21,Vaccination,32675.0,Yes,87.02,2914.0,9.7,57678.0,0.81,86.64 +27373,Nigeria,2001,Polio,Viral,6.14,11.56,8.78,19-35,Female,415532,93.35,1.43,7.71,Medication,20902.0,No,57.04,2396.0,3.65,58220.0,0.76,43.22 +27374,Japan,2001,Tuberculosis,Infectious,2.91,6.45,0.51,0-18,Male,776984,86.2,0.91,1.1,Surgery,10634.0,No,68.53,3748.0,1.42,46642.0,0.89,26.73 +27379,France,2023,Hypertension,Genetic,3.22,4.56,6.49,19-35,Female,286285,77.43,4.56,4.59,Surgery,3910.0,Yes,70.41,4846.0,8.48,50515.0,0.57,50.18 +27383,Italy,2013,Cancer,Neurological,14.25,7.65,1.61,61+,Female,263713,57.13,3.26,2.94,Surgery,49079.0,Yes,55.84,4887.0,8.97,23596.0,0.6,52.35 +27384,China,2004,Ebola,Bacterial,5.21,13.38,1.13,36-60,Other,836813,92.31,2.05,8.1,Medication,38229.0,Yes,65.56,4756.0,1.88,18734.0,0.55,60.2 +27386,Brazil,2024,Influenza,Neurological,5.64,5.46,6.52,61+,Other,177643,73.69,1.91,7.93,Therapy,8711.0,No,66.58,2136.0,1.98,80040.0,0.65,64.35 +27387,Germany,2016,Alzheimer's Disease,Infectious,16.24,6.77,1.46,0-18,Male,889364,96.23,4.37,2.61,Surgery,31840.0,No,78.57,4803.0,5.8,33772.0,0.45,76.59 +27393,France,2006,Ebola,Respiratory,5.77,9.87,9.92,36-60,Other,781712,60.81,3.37,3.74,Therapy,47647.0,No,58.37,4872.0,8.62,23463.0,0.76,21.73 +27400,South Africa,2006,Influenza,Bacterial,14.57,6.51,2.77,61+,Other,879465,97.22,3.75,5.42,Medication,39542.0,No,53.38,419.0,2.09,88283.0,0.83,50.19 +27418,South Africa,2013,Measles,Autoimmune,3.88,0.74,8.17,0-18,Female,966363,67.54,2.33,4.12,Vaccination,29821.0,No,69.46,1138.0,9.72,30302.0,0.44,61.56 +27422,UK,2017,Cancer,Parasitic,2.08,0.85,4.07,19-35,Other,4397,97.82,3.29,7.53,Surgery,31682.0,Yes,73.72,1085.0,4.78,30939.0,0.48,21.44 +27426,Russia,2014,Zika,Viral,9.34,2.94,2.98,36-60,Male,691700,65.12,4.96,6.34,Medication,20090.0,No,97.04,2244.0,5.17,99164.0,0.89,29.11 +27430,Australia,2022,Influenza,Chronic,16.7,13.03,1.59,36-60,Male,579197,68.88,1.22,4.25,Vaccination,7062.0,No,51.96,4994.0,2.48,87806.0,0.44,64.66 +27431,Argentina,2017,Dengue,Respiratory,5.06,12.12,6.36,61+,Other,183258,56.27,3.03,9.73,Vaccination,7627.0,No,72.61,2306.0,8.27,33824.0,0.81,71.98 +27435,Turkey,2008,Asthma,Parasitic,11.0,14.76,6.33,36-60,Other,331083,61.66,3.36,4.93,Therapy,22139.0,No,85.66,4800.0,5.43,59401.0,0.64,66.1 +27446,Mexico,2021,COVID-19,Metabolic,10.11,10.24,2.45,0-18,Other,529547,71.49,0.72,1.06,Therapy,22030.0,No,82.9,3505.0,5.69,80600.0,0.5,40.23 +27452,Canada,2024,Rabies,Cardiovascular,12.69,13.13,3.11,0-18,Male,541791,66.94,2.7,6.23,Medication,30690.0,No,54.77,3914.0,8.77,57103.0,0.53,74.43 +27476,Russia,2012,Measles,Parasitic,18.85,11.77,6.77,36-60,Male,231235,76.64,4.91,7.12,Vaccination,37059.0,No,83.1,4934.0,1.78,56090.0,0.87,73.95 +27480,China,2001,Influenza,Neurological,2.31,7.38,8.37,61+,Male,218786,62.71,1.63,1.86,Medication,16030.0,No,69.63,2741.0,6.78,24890.0,0.65,59.03 +27491,South Korea,2006,Tuberculosis,Genetic,18.55,7.11,5.91,0-18,Male,164162,65.87,3.68,4.71,Vaccination,1481.0,Yes,61.61,1681.0,6.98,35548.0,0.42,84.36 +27494,Brazil,2018,Influenza,Neurological,16.46,5.87,4.07,0-18,Male,308370,96.29,1.98,4.38,Surgery,16173.0,Yes,71.04,4575.0,6.63,62124.0,0.58,20.34 +27497,Russia,2023,Alzheimer's Disease,Chronic,16.74,5.6,0.27,36-60,Female,759803,53.24,1.61,6.42,Medication,33251.0,No,90.85,3203.0,8.8,99695.0,0.74,87.22 +27501,Italy,2005,Diabetes,Viral,5.47,9.69,4.97,36-60,Female,284490,52.98,0.54,8.16,Surgery,23956.0,Yes,65.69,1908.0,5.47,47290.0,0.6,79.68 +27504,France,2007,Alzheimer's Disease,Viral,11.16,10.4,4.83,61+,Male,671571,52.89,2.24,5.1,Surgery,45756.0,Yes,97.92,4325.0,4.83,76771.0,0.71,40.82 +27517,Canada,2021,Rabies,Genetic,5.42,2.97,6.55,61+,Other,294115,86.7,3.7,8.15,Surgery,28696.0,Yes,60.4,1508.0,5.51,26715.0,0.42,21.62 +27523,India,2020,Malaria,Parasitic,9.75,9.63,9.88,0-18,Other,447241,55.23,3.19,7.06,Medication,17831.0,Yes,88.7,196.0,1.14,21210.0,0.51,26.18 +27526,UK,2019,Rabies,Metabolic,14.04,5.12,6.01,36-60,Female,636105,75.2,2.23,2.36,Surgery,27172.0,No,91.17,2124.0,1.42,96035.0,0.77,80.03 +27529,France,2010,Malaria,Neurological,3.22,9.86,9.35,19-35,Male,87299,92.75,3.7,6.06,Therapy,22471.0,No,87.33,2287.0,6.28,25669.0,0.74,60.02 +27539,India,2024,HIV/AIDS,Genetic,10.73,9.9,6.54,36-60,Other,848859,97.91,4.5,3.96,Medication,41688.0,No,70.98,2761.0,6.32,24340.0,0.8,72.28 +27540,Japan,2002,Cholera,Metabolic,8.73,10.94,1.91,36-60,Female,301880,68.46,4.88,1.42,Medication,5525.0,No,75.59,4818.0,4.85,996.0,0.84,24.06 +27543,Mexico,2002,Dengue,Parasitic,5.96,2.63,2.86,36-60,Female,823414,73.89,1.63,8.06,Vaccination,32485.0,No,83.11,809.0,4.11,95495.0,0.77,43.12 +27551,South Korea,2009,Dengue,Respiratory,14.44,1.3,7.97,19-35,Other,712799,98.62,4.87,9.73,Therapy,35718.0,No,71.29,3642.0,9.99,84534.0,0.87,63.04 +27564,Germany,2012,Cancer,Metabolic,7.94,5.17,2.53,36-60,Other,756290,93.01,1.51,3.3,Vaccination,48933.0,No,87.85,1721.0,3.8,67114.0,0.56,62.03 +27565,Nigeria,2006,Ebola,Chronic,4.36,12.97,6.5,19-35,Other,672287,99.88,3.22,4.51,Surgery,28315.0,No,52.1,1193.0,7.79,30083.0,0.83,55.04 +27570,Japan,2008,Zika,Parasitic,6.21,7.08,0.43,61+,Female,502408,63.31,1.76,9.18,Therapy,5219.0,No,61.05,4878.0,0.5,64015.0,0.54,52.51 +27579,Mexico,2016,Hepatitis,Chronic,11.69,5.8,1.59,19-35,Male,541847,74.46,2.6,8.86,Vaccination,8282.0,Yes,85.1,4326.0,1.42,1454.0,0.59,56.63 +27580,India,2014,Alzheimer's Disease,Parasitic,10.11,8.35,8.97,36-60,Male,566975,77.67,4.79,9.27,Surgery,46187.0,Yes,58.79,4026.0,0.07,99634.0,0.52,44.66 +27581,South Korea,2004,Cholera,Genetic,8.15,8.1,4.81,19-35,Other,91582,77.65,3.08,9.27,Medication,37358.0,No,73.4,3606.0,0.23,18161.0,0.73,76.66 +27583,Germany,2018,HIV/AIDS,Parasitic,14.33,4.5,6.53,36-60,Male,405149,72.93,1.85,8.54,Therapy,18776.0,Yes,60.53,2399.0,0.93,67871.0,0.79,31.57 +27606,USA,2009,COVID-19,Autoimmune,17.79,10.5,7.41,0-18,Female,747890,81.49,4.22,8.9,Therapy,17051.0,Yes,60.98,4830.0,6.84,39431.0,0.73,35.38 +27613,South Africa,2007,Rabies,Viral,16.01,12.72,3.94,61+,Other,159283,86.76,4.74,6.27,Therapy,19649.0,Yes,71.65,78.0,9.7,79787.0,0.67,53.52 +27620,UK,2019,Leprosy,Parasitic,17.26,2.49,6.08,36-60,Male,509139,59.39,2.99,2.62,Surgery,41144.0,No,76.84,893.0,9.94,47937.0,0.52,75.52 +27624,Brazil,2020,Cholera,Respiratory,5.8,9.12,0.28,61+,Other,75603,57.33,3.05,2.37,Therapy,17590.0,No,66.41,4933.0,5.82,33709.0,0.55,65.95 +27627,South Africa,2022,Rabies,Cardiovascular,10.47,12.17,8.51,19-35,Female,4486,52.66,4.94,9.2,Therapy,22266.0,No,93.21,2599.0,8.2,30071.0,0.89,54.69 +27634,Argentina,2009,Zika,Infectious,4.8,12.25,3.56,61+,Female,919478,53.57,1.89,7.62,Medication,28520.0,Yes,67.95,3982.0,6.27,99440.0,0.84,61.3 +27635,Canada,2004,Dengue,Autoimmune,12.38,10.19,3.89,36-60,Male,742145,53.48,1.63,5.89,Vaccination,9085.0,Yes,79.77,2612.0,8.13,47567.0,0.65,86.9 +27637,UK,2010,Ebola,Genetic,19.04,7.08,2.2,36-60,Female,581511,62.72,0.9,1.08,Vaccination,41796.0,Yes,63.07,3312.0,9.06,2307.0,0.61,69.67 +27638,Saudi Arabia,2024,Dengue,Metabolic,8.73,1.16,6.78,61+,Other,716648,67.36,0.63,3.71,Therapy,22223.0,Yes,69.85,2631.0,8.65,92665.0,0.74,69.59 +27641,Japan,2014,Measles,Bacterial,9.59,1.44,4.08,19-35,Male,957335,75.69,2.66,7.04,Medication,19264.0,Yes,93.73,2863.0,8.74,61750.0,0.71,56.64 +27646,Germany,2012,Parkinson's Disease,Metabolic,4.37,6.22,9.23,19-35,Male,192975,70.4,3.67,7.35,Medication,37104.0,No,70.97,3981.0,8.77,55765.0,0.53,55.05 +27666,UK,2008,Rabies,Autoimmune,10.26,12.28,3.4,61+,Male,599512,82.38,0.54,9.59,Vaccination,7852.0,Yes,50.47,4452.0,8.49,9905.0,0.6,45.35 +27667,South Africa,2003,Tuberculosis,Bacterial,7.47,0.74,0.94,19-35,Other,819106,83.23,3.99,1.56,Vaccination,21319.0,No,95.94,1199.0,7.14,48685.0,0.46,52.67 +27670,France,2016,Asthma,Bacterial,3.93,14.38,2.98,61+,Female,121389,72.55,2.92,5.47,Therapy,32565.0,No,72.66,4629.0,6.45,21103.0,0.67,39.05 +27671,Nigeria,2003,Alzheimer's Disease,Autoimmune,10.99,0.56,4.8,36-60,Other,752968,83.16,3.91,7.59,Medication,17883.0,No,66.13,3786.0,1.58,73009.0,0.76,21.34 +27674,Turkey,2003,Influenza,Neurological,16.07,8.91,6.36,61+,Female,747399,75.1,2.35,1.29,Medication,3960.0,No,63.02,226.0,6.51,89886.0,0.44,88.93 +27679,Indonesia,2009,Asthma,Parasitic,2.12,10.73,6.14,19-35,Other,849419,87.35,3.76,2.35,Therapy,3070.0,Yes,97.45,1817.0,2.39,10115.0,0.56,53.63 +27682,Argentina,2014,Polio,Respiratory,9.76,6.07,0.62,0-18,Female,183478,61.69,3.43,3.36,Vaccination,25012.0,No,68.67,942.0,0.18,65556.0,0.49,54.42 +27684,USA,2000,Cholera,Metabolic,3.5,4.18,6.27,0-18,Other,654965,65.7,2.74,1.75,Vaccination,45152.0,Yes,97.0,3932.0,2.69,17803.0,0.53,35.28 +27686,Japan,2011,Cancer,Parasitic,7.49,1.32,9.49,36-60,Male,894529,92.24,4.75,5.87,Therapy,16677.0,Yes,94.5,653.0,9.13,6849.0,0.67,42.52 +27697,Argentina,2023,Parkinson's Disease,Neurological,5.17,11.12,1.97,19-35,Male,352593,93.9,4.94,6.85,Therapy,40336.0,No,59.14,3384.0,0.41,48267.0,0.53,47.26 +27701,Germany,2021,Alzheimer's Disease,Autoimmune,16.35,8.18,1.26,19-35,Male,698622,94.91,4.37,2.59,Therapy,7144.0,No,60.66,2356.0,6.56,3055.0,0.8,84.44 +27704,Indonesia,2002,COVID-19,Chronic,3.96,0.24,4.13,36-60,Male,845105,72.28,0.94,9.96,Medication,33477.0,No,55.53,2332.0,0.85,46699.0,0.66,42.19 +27716,South Korea,2019,HIV/AIDS,Chronic,11.64,14.8,2.14,19-35,Male,131110,78.7,3.24,9.51,Medication,42280.0,No,94.71,287.0,4.66,41304.0,0.67,73.65 +27721,Indonesia,2013,Ebola,Infectious,1.7,6.25,6.86,36-60,Male,770827,84.8,0.86,7.61,Therapy,42300.0,No,61.9,1251.0,3.97,7962.0,0.71,62.29 +27722,Indonesia,2018,Tuberculosis,Neurological,0.52,11.38,3.58,0-18,Male,66230,53.14,2.57,5.42,Medication,24035.0,Yes,94.9,3707.0,2.82,75513.0,0.44,43.06 +27730,Italy,2001,Cholera,Metabolic,14.99,6.34,6.72,36-60,Female,159811,95.64,3.64,6.16,Surgery,46721.0,No,69.27,145.0,9.48,70737.0,0.59,69.14 +27732,UK,2015,Cholera,Metabolic,9.82,4.03,3.29,0-18,Female,174344,61.08,4.26,9.76,Medication,20842.0,No,93.9,2839.0,9.68,47513.0,0.46,79.58 +27733,UK,2010,Tuberculosis,Viral,2.12,14.55,3.51,36-60,Female,338979,92.74,2.97,3.51,Therapy,23168.0,No,87.9,3810.0,3.63,66297.0,0.76,63.91 +27736,Russia,2021,Diabetes,Genetic,5.07,5.88,5.23,36-60,Male,863115,54.92,1.87,7.9,Therapy,5174.0,No,52.2,3311.0,7.04,58300.0,0.45,39.51 +27741,Mexico,2015,Rabies,Cardiovascular,1.11,3.03,0.91,61+,Male,364261,80.78,4.71,0.74,Medication,21772.0,Yes,64.99,1781.0,1.08,74475.0,0.81,89.22 +27742,France,2007,Rabies,Viral,11.44,11.65,5.72,19-35,Male,818361,60.21,2.46,3.24,Therapy,3713.0,No,64.04,3698.0,2.89,37275.0,0.77,30.33 +27747,France,2014,Tuberculosis,Respiratory,16.19,0.31,0.14,61+,Male,245805,66.95,2.01,3.43,Therapy,22242.0,No,80.94,661.0,5.27,8517.0,0.66,40.46 +27751,UK,2021,Tuberculosis,Chronic,4.51,5.23,6.71,36-60,Male,787016,91.87,3.85,7.73,Medication,24863.0,Yes,63.68,1896.0,7.11,6282.0,0.72,38.15 +27752,Mexico,2008,Rabies,Cardiovascular,1.97,8.38,0.79,0-18,Male,228405,64.24,3.05,0.7,Medication,43585.0,No,69.93,2618.0,9.35,19480.0,0.78,79.72 +27759,China,2021,Polio,Neurological,8.4,3.47,4.81,61+,Female,158465,87.68,2.87,8.07,Medication,19867.0,Yes,75.73,2124.0,0.17,33126.0,0.84,51.16 +27762,Nigeria,2007,Leprosy,Respiratory,18.5,5.19,9.35,0-18,Male,194655,66.62,4.1,1.23,Surgery,17700.0,Yes,76.12,797.0,5.12,39054.0,0.7,85.55 +27764,South Africa,2024,Parkinson's Disease,Respiratory,12.41,10.72,10.0,36-60,Female,672112,61.5,0.72,2.54,Therapy,27825.0,No,84.57,1027.0,0.61,13539.0,0.47,64.26 +27767,China,2005,Measles,Metabolic,2.7,9.72,5.12,61+,Male,551444,72.37,3.8,9.45,Surgery,22108.0,Yes,52.85,1674.0,3.94,33018.0,0.71,37.24 +27769,France,2024,Dengue,Autoimmune,17.85,9.81,1.59,19-35,Male,695032,83.77,3.87,7.65,Therapy,30137.0,No,65.79,4535.0,3.42,16964.0,0.56,65.19 +27777,Italy,2008,Diabetes,Parasitic,11.57,11.4,1.4,36-60,Male,209717,84.02,4.06,6.73,Therapy,34274.0,Yes,60.19,3256.0,8.49,39290.0,0.75,56.02 +27778,South Korea,2001,Cholera,Metabolic,9.32,11.5,4.29,0-18,Female,522473,68.72,3.6,9.29,Medication,39897.0,No,68.93,4247.0,9.25,4704.0,0.74,69.88 +27782,Turkey,2005,Measles,Neurological,13.25,2.39,2.85,0-18,Female,648283,74.99,4.24,1.54,Therapy,32748.0,Yes,64.97,1890.0,6.76,62693.0,0.83,58.15 +27784,South Korea,2001,Measles,Neurological,10.5,5.88,3.86,19-35,Male,930329,60.13,2.29,2.86,Surgery,34947.0,Yes,61.15,3951.0,5.22,24063.0,0.44,73.42 +27788,Russia,2003,Hepatitis,Parasitic,0.75,9.41,3.84,61+,Other,937354,99.06,2.56,8.44,Surgery,44568.0,No,77.87,766.0,2.26,77655.0,0.56,42.74 +27791,Indonesia,2004,HIV/AIDS,Respiratory,6.45,4.71,2.98,36-60,Female,606023,74.35,1.46,1.13,Vaccination,44768.0,No,62.61,3179.0,7.54,35966.0,0.73,84.69 +27797,Turkey,2005,Tuberculosis,Neurological,17.56,10.86,7.94,61+,Male,19389,82.15,4.85,6.77,Vaccination,27706.0,No,60.97,2390.0,3.57,75106.0,0.57,40.1 +27804,Nigeria,2015,Asthma,Bacterial,14.53,13.07,8.97,0-18,Male,39781,88.23,2.25,1.67,Vaccination,47936.0,No,72.67,2861.0,2.46,95012.0,0.49,67.46 +27806,India,2017,HIV/AIDS,Neurological,12.39,0.46,2.71,19-35,Other,615737,87.92,4.35,9.46,Therapy,20758.0,No,71.26,229.0,0.97,12137.0,0.6,77.47 +27807,France,2013,Asthma,Infectious,2.71,4.11,2.25,61+,Other,425949,93.89,3.29,4.41,Therapy,22655.0,No,85.77,1258.0,6.28,12745.0,0.88,34.83 +27811,France,2008,Cholera,Neurological,18.04,9.51,3.81,19-35,Female,462411,88.96,3.48,8.11,Vaccination,777.0,No,86.48,779.0,6.62,72460.0,0.84,47.56 +27812,India,2021,Hypertension,Autoimmune,13.03,8.35,1.74,0-18,Female,530856,57.17,1.89,3.99,Vaccination,21770.0,Yes,71.37,3268.0,2.39,74451.0,0.64,32.42 +27813,Australia,2020,HIV/AIDS,Metabolic,16.32,13.72,1.66,19-35,Other,863005,81.91,4.33,3.66,Surgery,27680.0,Yes,70.01,1208.0,2.93,83715.0,0.78,29.27 +27819,Saudi Arabia,2018,Polio,Neurological,1.19,4.85,5.43,36-60,Male,974921,86.33,2.56,6.53,Surgery,3668.0,No,65.13,2659.0,5.23,30865.0,0.7,29.03 +27824,Argentina,2018,Leprosy,Chronic,8.19,12.65,7.59,36-60,Female,657343,70.22,0.7,7.05,Medication,7184.0,No,96.24,4535.0,1.8,83283.0,0.64,31.07 +27830,Japan,2000,COVID-19,Respiratory,8.52,1.46,4.78,36-60,Female,15848,66.92,1.74,1.58,Vaccination,12204.0,No,79.62,1614.0,6.38,7642.0,0.79,89.68 +27832,Argentina,2016,Asthma,Metabolic,8.71,11.95,5.74,0-18,Female,249013,55.11,1.5,2.11,Therapy,28016.0,No,94.91,3541.0,9.43,73194.0,0.6,38.86 +27840,UK,2020,Zika,Infectious,8.01,0.69,6.06,19-35,Other,887360,70.7,2.45,9.97,Vaccination,4317.0,Yes,55.33,4405.0,9.47,33179.0,0.78,57.36 +27841,Japan,2010,Influenza,Infectious,11.28,11.27,5.93,36-60,Male,669167,51.4,3.24,7.41,Vaccination,36379.0,No,55.18,4116.0,9.06,49339.0,0.64,49.21 +27848,Russia,2001,Polio,Cardiovascular,19.88,11.27,6.64,61+,Other,142405,59.66,4.43,7.37,Vaccination,6409.0,Yes,85.2,3292.0,6.77,5718.0,0.65,60.6 +27857,South Korea,2006,Hepatitis,Viral,16.22,13.59,3.67,36-60,Other,274786,78.92,1.31,7.06,Therapy,10024.0,Yes,77.21,2427.0,0.29,49760.0,0.46,47.2 +27861,Saudi Arabia,2008,Alzheimer's Disease,Neurological,12.17,6.73,9.56,36-60,Female,65170,61.82,2.64,8.97,Therapy,35623.0,No,65.73,1590.0,2.43,29626.0,0.5,41.54 +27862,Brazil,2001,Zika,Autoimmune,19.56,11.59,1.21,19-35,Male,395466,64.72,1.98,3.5,Medication,11220.0,No,61.9,4559.0,8.97,81265.0,0.54,68.21 +27868,Mexico,2002,Cholera,Infectious,18.43,9.18,0.23,0-18,Other,262489,78.94,3.55,6.92,Surgery,16259.0,No,96.13,4474.0,6.58,44323.0,0.51,82.97 +27872,India,2000,COVID-19,Genetic,2.33,1.32,4.37,36-60,Other,337641,50.78,3.31,5.47,Vaccination,16496.0,No,83.65,2331.0,3.13,2702.0,0.52,31.32 +27886,Nigeria,2001,COVID-19,Autoimmune,3.11,10.58,1.27,19-35,Male,917649,80.98,4.66,9.02,Medication,357.0,No,77.47,1314.0,9.68,34707.0,0.66,79.17 +27898,China,2022,Parkinson's Disease,Bacterial,16.34,13.76,9.0,61+,Other,825671,52.45,4.58,5.57,Vaccination,11437.0,Yes,53.75,676.0,3.13,99685.0,0.4,70.7 +27902,South Korea,2011,Leprosy,Autoimmune,7.09,12.79,2.58,36-60,Female,293117,64.96,2.02,0.98,Surgery,5491.0,No,83.57,499.0,5.16,62724.0,0.72,34.67 +27915,France,2020,COVID-19,Metabolic,16.89,5.35,1.33,36-60,Male,589768,55.96,2.71,4.04,Surgery,19532.0,Yes,63.84,2262.0,3.47,11447.0,0.72,37.55 +27919,Argentina,2001,Measles,Infectious,4.46,6.42,4.75,0-18,Male,423293,85.5,3.63,3.21,Medication,18927.0,No,68.45,2477.0,9.25,42983.0,0.82,20.06 +27922,Indonesia,2013,Ebola,Autoimmune,9.12,7.08,0.12,36-60,Female,396628,82.32,2.45,4.73,Therapy,8478.0,Yes,55.46,2583.0,7.36,78702.0,0.7,75.61 +27925,UK,2019,Cholera,Infectious,12.61,4.67,7.82,19-35,Other,465773,70.92,2.37,6.87,Therapy,27583.0,Yes,58.24,2075.0,7.57,36286.0,0.78,64.65 +27943,Australia,2014,Ebola,Bacterial,14.69,1.4,8.55,0-18,Other,106734,87.94,4.21,7.13,Surgery,9549.0,No,86.26,2757.0,4.91,97189.0,0.6,48.27 +27950,Saudi Arabia,2011,Alzheimer's Disease,Cardiovascular,10.18,4.21,0.51,61+,Male,55643,94.25,0.98,9.14,Vaccination,21596.0,Yes,75.14,3913.0,5.15,2309.0,0.62,56.16 +27963,Australia,2004,Dengue,Genetic,13.65,10.26,5.63,36-60,Other,90831,84.95,2.87,6.89,Medication,19061.0,No,98.32,4354.0,1.46,37520.0,0.79,70.1 +27973,Canada,2020,Alzheimer's Disease,Respiratory,4.22,6.06,2.82,36-60,Other,899308,86.25,0.53,6.09,Vaccination,2168.0,No,73.47,2977.0,6.89,20088.0,0.87,86.82 +27981,India,2015,COVID-19,Respiratory,6.05,13.65,4.02,0-18,Other,579111,93.1,3.89,2.69,Medication,29000.0,No,68.11,1675.0,7.55,32641.0,0.62,58.94 +27996,Germany,2016,Malaria,Neurological,17.41,8.23,8.05,0-18,Female,585293,54.94,0.63,2.38,Vaccination,42183.0,No,97.82,2122.0,2.45,43394.0,0.78,89.49 +28001,Canada,2012,Polio,Autoimmune,7.22,3.51,8.78,19-35,Other,400040,86.04,4.71,7.23,Medication,8952.0,Yes,95.46,462.0,2.33,92661.0,0.61,86.79 +28006,Nigeria,2005,Parkinson's Disease,Infectious,16.91,14.12,7.61,61+,Female,211519,56.27,1.97,3.68,Medication,47883.0,Yes,92.93,1812.0,1.93,57457.0,0.86,76.98 +28010,India,2014,Leprosy,Bacterial,3.47,6.87,0.25,0-18,Male,434388,53.03,2.85,3.26,Surgery,6106.0,No,79.04,4445.0,9.04,43724.0,0.54,36.37 +28012,Brazil,2016,Alzheimer's Disease,Bacterial,11.85,4.35,7.29,36-60,Male,46380,58.25,2.71,7.01,Medication,35127.0,Yes,68.56,4526.0,5.27,62451.0,0.7,44.48 +28014,Japan,2024,HIV/AIDS,Genetic,7.98,10.62,0.95,19-35,Male,382190,84.04,3.08,8.98,Surgery,17065.0,Yes,83.85,2084.0,2.14,65309.0,0.61,79.3 +28026,South Africa,2012,Asthma,Viral,9.89,5.54,2.46,61+,Female,562437,83.43,2.24,1.76,Surgery,10220.0,No,94.75,3455.0,9.7,22198.0,0.61,27.35 +28029,Russia,2011,Parkinson's Disease,Chronic,3.08,12.3,8.64,19-35,Other,408881,85.71,1.48,4.65,Medication,3726.0,No,85.95,3375.0,2.59,64669.0,0.85,38.06 +28031,Mexico,2015,Tuberculosis,Neurological,16.35,11.91,3.81,61+,Other,452680,67.11,2.02,8.25,Vaccination,22317.0,No,95.83,708.0,4.68,83833.0,0.57,32.26 +28032,Brazil,2018,Cancer,Cardiovascular,5.35,4.03,2.4,0-18,Female,350057,84.08,1.12,9.64,Vaccination,11696.0,Yes,86.74,4195.0,8.42,40312.0,0.62,53.86 +28033,UK,2023,Leprosy,Viral,10.86,0.56,9.49,61+,Female,306206,92.18,4.05,2.71,Medication,37518.0,No,81.47,3568.0,5.39,89136.0,0.75,80.92 +28035,China,2024,Parkinson's Disease,Chronic,11.61,1.36,2.54,61+,Male,610860,64.56,3.0,6.0,Therapy,47032.0,Yes,75.75,212.0,9.31,33174.0,0.41,84.38 +28040,India,2023,Parkinson's Disease,Metabolic,16.32,6.82,4.83,19-35,Female,508299,75.37,4.43,1.79,Vaccination,39553.0,No,71.27,2075.0,8.63,33361.0,0.87,69.44 +28060,Nigeria,2023,Ebola,Respiratory,8.08,9.62,9.05,0-18,Male,466353,78.51,3.34,2.63,Therapy,16242.0,Yes,54.2,3889.0,4.42,26453.0,0.69,73.52 +28062,USA,2018,Polio,Parasitic,2.5,6.3,4.84,36-60,Male,688053,76.08,2.63,2.89,Medication,28691.0,No,97.17,2079.0,0.16,7006.0,0.46,52.96 +28093,Australia,2020,Dengue,Metabolic,3.4,5.17,6.0,61+,Female,840253,88.71,3.96,3.18,Medication,21057.0,No,52.91,4160.0,0.02,70976.0,0.88,53.06 +28108,USA,2018,Polio,Chronic,9.83,0.37,6.04,61+,Male,399464,67.3,3.05,2.39,Vaccination,21673.0,Yes,64.42,2394.0,1.6,40517.0,0.54,83.1 +28111,Japan,2019,Measles,Respiratory,1.6,2.82,8.88,19-35,Female,643471,72.19,1.82,9.32,Surgery,38891.0,No,71.8,2009.0,3.92,11778.0,0.73,82.99 +28113,Canada,2019,COVID-19,Parasitic,18.81,13.28,1.22,36-60,Other,120065,84.15,2.43,9.9,Therapy,31658.0,No,95.87,3600.0,3.56,92641.0,0.67,48.94 +28118,India,2002,Parkinson's Disease,Cardiovascular,10.44,6.61,9.13,61+,Male,183897,65.42,4.04,1.02,Medication,16097.0,No,79.83,4550.0,3.11,36963.0,0.55,34.3 +28125,South Africa,2020,Dengue,Chronic,1.73,8.13,5.91,0-18,Female,640629,79.31,2.11,6.44,Medication,18270.0,No,93.7,3710.0,5.32,72782.0,0.68,77.74 +28130,Nigeria,2020,Asthma,Neurological,18.29,3.45,2.87,36-60,Male,144116,85.74,4.13,8.05,Vaccination,11492.0,No,87.11,1282.0,5.78,84661.0,0.48,23.35 +28138,Indonesia,2010,Rabies,Genetic,4.47,13.72,6.38,36-60,Male,899965,56.21,0.71,8.57,Surgery,42793.0,Yes,55.79,3815.0,8.05,50106.0,0.65,48.57 +28141,Japan,2007,Leprosy,Autoimmune,11.93,0.3,4.35,36-60,Other,158223,88.87,2.35,7.59,Surgery,38829.0,No,67.82,1921.0,4.84,6882.0,0.58,51.24 +28143,Canada,2009,Asthma,Cardiovascular,8.9,1.91,1.57,61+,Male,418171,83.37,1.37,8.76,Vaccination,31233.0,Yes,81.86,4372.0,6.92,41128.0,0.83,46.66 +28149,China,2001,Parkinson's Disease,Viral,7.4,6.15,2.05,0-18,Female,842942,61.41,3.15,9.28,Surgery,29258.0,Yes,64.03,2553.0,0.57,94103.0,0.81,51.93 +28153,Australia,2003,Cancer,Viral,4.7,7.78,4.79,19-35,Other,175863,60.8,0.6,6.57,Therapy,2533.0,No,71.76,358.0,0.89,11132.0,0.83,31.2 +28156,USA,2009,Diabetes,Autoimmune,18.29,2.34,0.82,36-60,Male,196318,92.93,3.43,1.49,Surgery,5307.0,Yes,67.44,4000.0,0.5,29111.0,0.88,32.27 +28158,UK,2008,Tuberculosis,Bacterial,4.8,7.12,2.18,61+,Other,355269,69.54,1.35,1.52,Surgery,12462.0,Yes,94.19,469.0,9.28,17001.0,0.49,43.13 +28160,Germany,2002,Cancer,Respiratory,5.51,1.67,9.38,61+,Male,186677,62.18,2.92,6.7,Surgery,21512.0,No,82.53,2198.0,9.27,69537.0,0.41,82.08 +28162,South Africa,2018,Rabies,Infectious,6.64,2.85,8.94,0-18,Other,821335,87.57,3.75,9.2,Medication,28646.0,Yes,59.11,355.0,1.02,14652.0,0.88,72.93 +28167,Mexico,2009,HIV/AIDS,Viral,6.86,14.22,6.29,61+,Other,568112,64.06,3.08,5.14,Vaccination,42786.0,No,72.51,2172.0,3.15,83827.0,0.59,55.34 +28172,UK,2010,Ebola,Infectious,18.37,11.64,4.38,36-60,Male,587678,70.44,4.01,2.9,Vaccination,4556.0,No,75.5,4798.0,8.46,57554.0,0.8,77.74 +28175,Argentina,2015,Zika,Infectious,0.75,9.58,3.17,61+,Female,782634,73.36,4.1,8.07,Medication,12707.0,Yes,80.14,2811.0,5.68,22684.0,0.67,87.74 +28178,Germany,2009,Leprosy,Metabolic,9.48,13.73,7.05,19-35,Female,810705,55.6,2.3,9.17,Medication,45308.0,Yes,79.65,1561.0,0.76,72240.0,0.57,60.35 +28179,Canada,2000,COVID-19,Respiratory,0.18,14.42,8.07,36-60,Male,34455,79.78,4.13,8.65,Therapy,19739.0,No,70.56,3215.0,1.78,33215.0,0.78,57.86 +28188,Japan,2006,Ebola,Respiratory,2.29,6.73,7.92,19-35,Other,479556,71.21,1.94,8.23,Medication,42743.0,Yes,59.51,1830.0,5.45,47431.0,0.48,71.53 +28202,India,2007,Alzheimer's Disease,Cardiovascular,1.33,3.42,5.15,61+,Female,550206,99.51,1.68,8.91,Surgery,23698.0,No,74.01,385.0,2.53,18316.0,0.54,31.4 +28204,Mexico,2009,Tuberculosis,Viral,18.45,9.17,3.71,19-35,Female,799887,74.14,3.0,3.51,Surgery,24020.0,Yes,89.06,2792.0,4.78,45054.0,0.61,32.18 +28211,Germany,2018,Cholera,Infectious,5.56,0.34,5.21,61+,Male,392765,94.48,3.73,9.94,Vaccination,40326.0,Yes,80.61,1056.0,6.18,22579.0,0.64,36.83 +28215,Japan,2005,HIV/AIDS,Neurological,18.03,13.66,2.27,36-60,Male,113636,85.97,4.56,4.51,Surgery,16877.0,No,63.79,3444.0,8.62,17324.0,0.67,38.61 +28216,Indonesia,2008,Leprosy,Metabolic,0.53,2.45,7.51,61+,Other,685108,87.94,4.55,5.67,Surgery,38183.0,No,52.74,4392.0,0.6,88025.0,0.7,53.35 +28221,Turkey,2012,Measles,Metabolic,19.41,8.49,2.86,36-60,Other,585338,57.86,4.85,7.0,Surgery,19870.0,Yes,68.84,3114.0,6.14,37625.0,0.68,43.99 +28223,Australia,2015,Cholera,Neurological,6.06,12.6,5.5,0-18,Other,335760,93.58,2.58,8.02,Medication,18668.0,No,92.99,4696.0,7.66,47104.0,0.79,44.82 +28234,Japan,2005,Polio,Cardiovascular,2.03,7.13,8.69,61+,Female,169294,71.23,1.17,1.98,Therapy,5823.0,No,77.26,3616.0,7.59,17434.0,0.65,54.65 +28236,China,2006,Parkinson's Disease,Infectious,15.23,10.42,8.5,36-60,Other,464314,59.84,2.07,2.19,Therapy,25674.0,No,64.83,1180.0,8.34,1637.0,0.78,36.21 +28242,France,2010,Malaria,Infectious,18.05,9.2,1.5,0-18,Male,91598,58.42,1.39,5.01,Therapy,40366.0,No,91.35,4315.0,6.17,56783.0,0.72,86.99 +28249,Italy,2017,Diabetes,Viral,9.77,9.65,1.09,0-18,Male,515355,96.27,1.1,9.61,Surgery,37781.0,No,69.75,106.0,0.52,53142.0,0.71,85.78 +28264,Mexico,2011,Asthma,Parasitic,1.69,4.11,7.59,61+,Female,740819,97.76,2.43,2.66,Surgery,23368.0,Yes,82.88,4990.0,1.62,64008.0,0.72,75.99 +28265,Mexico,2013,Zika,Chronic,8.4,7.95,9.29,0-18,Other,198304,99.54,1.4,0.74,Therapy,22762.0,Yes,91.03,2935.0,2.54,91405.0,0.44,48.63 +28266,UK,2000,Zika,Respiratory,10.39,8.36,1.58,61+,Female,523722,59.96,2.26,5.86,Surgery,39367.0,No,69.08,459.0,0.84,6421.0,0.66,49.55 +28275,USA,2000,Hepatitis,Parasitic,14.94,3.37,6.51,61+,Other,17947,74.72,4.48,6.73,Surgery,554.0,Yes,50.65,539.0,7.83,61498.0,0.61,60.68 +28278,India,2020,Polio,Chronic,16.11,13.64,7.53,19-35,Other,43017,65.88,3.02,1.1,Surgery,8861.0,No,55.59,2252.0,6.55,75486.0,0.77,32.97 +28291,Turkey,2016,Polio,Chronic,6.11,3.45,1.94,61+,Male,775057,77.57,3.41,0.6,Surgery,3177.0,Yes,72.45,4574.0,7.26,41045.0,0.75,23.69 +28300,China,2006,Rabies,Genetic,10.26,6.88,0.66,61+,Female,569773,97.3,2.22,6.79,Surgery,40440.0,No,63.88,99.0,1.76,11792.0,0.42,52.29 +28304,Nigeria,2013,Hepatitis,Metabolic,16.7,7.6,9.64,36-60,Other,899083,73.77,3.54,8.07,Therapy,38521.0,Yes,76.24,2419.0,4.66,38092.0,0.84,72.13 +28306,Brazil,2013,Cancer,Respiratory,10.65,1.08,0.14,0-18,Female,438872,71.4,3.29,6.31,Surgery,16179.0,Yes,86.36,3902.0,7.0,98129.0,0.41,80.26 +28322,Japan,2003,Rabies,Cardiovascular,10.05,14.95,8.31,36-60,Female,976398,66.02,2.13,8.7,Surgery,7963.0,No,87.44,829.0,4.08,86543.0,0.43,68.38 +28329,Indonesia,2008,Rabies,Cardiovascular,7.4,3.46,5.95,61+,Female,714623,81.94,0.61,5.23,Vaccination,39598.0,Yes,89.12,2299.0,9.2,99359.0,0.73,76.06 +28343,South Korea,2019,Tuberculosis,Cardiovascular,2.43,8.83,8.17,61+,Male,515743,80.06,3.9,3.18,Surgery,6313.0,Yes,89.42,356.0,2.76,85093.0,0.71,67.9 +28344,Brazil,2008,Leprosy,Respiratory,9.19,7.15,7.18,19-35,Other,69692,76.54,0.74,7.67,Vaccination,44433.0,No,51.45,1986.0,8.4,52191.0,0.83,73.27 +28345,Canada,2002,Hepatitis,Respiratory,0.52,10.68,2.5,61+,Female,637329,93.95,4.23,6.5,Medication,21211.0,Yes,94.94,7.0,1.82,47636.0,0.41,75.36 +28346,Turkey,2023,Parkinson's Disease,Cardiovascular,11.96,14.52,8.91,19-35,Female,622763,57.9,1.48,8.91,Medication,771.0,No,79.68,4023.0,4.66,81308.0,0.54,64.81 +28347,Nigeria,2024,Dengue,Respiratory,19.74,12.36,3.74,61+,Female,636893,78.74,0.82,8.52,Vaccination,13040.0,Yes,72.95,3076.0,0.99,68377.0,0.52,73.98 +28353,Canada,2014,Leprosy,Autoimmune,14.49,2.05,4.02,19-35,Male,766504,97.06,2.11,1.3,Medication,31902.0,Yes,73.45,4025.0,4.08,56507.0,0.87,38.73 +28360,India,2024,COVID-19,Cardiovascular,10.25,2.64,9.75,19-35,Male,114682,59.1,2.73,5.48,Medication,17430.0,Yes,98.11,2737.0,0.64,14009.0,0.75,38.07 +28371,South Africa,2007,Influenza,Cardiovascular,19.47,1.46,6.14,36-60,Female,440067,52.37,1.6,6.8,Vaccination,4661.0,No,89.04,1583.0,9.23,26298.0,0.54,48.47 +28380,Canada,2014,Alzheimer's Disease,Metabolic,13.44,8.5,6.74,61+,Male,783776,82.51,1.88,1.82,Medication,41157.0,Yes,81.24,1811.0,7.75,2902.0,0.81,73.73 +28385,Japan,2019,Polio,Genetic,19.84,4.99,2.49,61+,Other,714814,70.1,3.42,8.31,Surgery,36673.0,No,73.92,2856.0,6.94,962.0,0.47,61.76 +28390,South Korea,2003,Cancer,Bacterial,0.86,13.3,6.09,36-60,Male,710271,58.97,2.92,8.99,Vaccination,12574.0,No,67.81,2749.0,2.42,48098.0,0.55,54.91 +28391,Italy,2017,Alzheimer's Disease,Viral,12.77,14.39,3.46,19-35,Female,912617,62.45,2.61,8.74,Therapy,34155.0,Yes,80.21,3408.0,1.15,94321.0,0.53,42.3 +28397,South Korea,2015,Cholera,Autoimmune,0.56,14.04,4.27,19-35,Male,781845,66.76,4.76,3.15,Medication,38065.0,Yes,54.42,3121.0,5.05,49128.0,0.74,70.17 +28398,Nigeria,2002,HIV/AIDS,Bacterial,16.03,0.86,2.36,36-60,Male,888741,67.18,4.16,8.58,Vaccination,18074.0,Yes,84.39,1235.0,7.81,92944.0,0.68,88.92 +28400,Russia,2008,Malaria,Bacterial,4.48,6.65,2.04,19-35,Female,659439,83.28,0.7,7.01,Vaccination,21374.0,Yes,93.94,4602.0,9.8,63943.0,0.73,88.23 +28409,South Korea,2007,Rabies,Cardiovascular,9.54,3.88,2.78,36-60,Other,629358,61.68,4.88,6.14,Vaccination,31817.0,No,89.69,4362.0,3.25,52100.0,0.75,65.4 +28410,Brazil,2022,Leprosy,Autoimmune,18.03,11.72,0.33,61+,Male,16487,90.32,2.33,1.64,Therapy,17201.0,Yes,69.51,3881.0,7.78,36005.0,0.87,53.71 +28411,USA,2013,Cholera,Viral,2.81,7.98,6.1,0-18,Male,220856,72.21,0.55,1.5,Therapy,29913.0,No,82.77,4373.0,2.7,66647.0,0.45,78.36 +28416,UK,2011,Hepatitis,Neurological,11.53,10.35,7.06,36-60,Male,626490,91.15,1.06,1.25,Vaccination,27395.0,Yes,73.87,3715.0,2.81,96268.0,0.66,39.53 +28418,France,2012,HIV/AIDS,Genetic,7.85,5.83,9.2,61+,Other,508472,90.62,1.63,0.98,Medication,29593.0,No,83.93,2314.0,0.64,77617.0,0.57,44.77 +28421,France,2006,Rabies,Viral,1.35,6.09,2.28,0-18,Other,171884,66.66,2.01,9.4,Therapy,2706.0,Yes,91.1,819.0,5.12,54953.0,0.66,63.94 +28426,France,2012,Zika,Bacterial,15.0,3.16,8.58,19-35,Female,541813,81.8,2.51,5.32,Surgery,29943.0,Yes,80.11,371.0,3.81,81640.0,0.61,20.25 +28428,France,2011,Tuberculosis,Neurological,0.27,9.03,8.97,0-18,Male,429351,87.97,3.47,7.11,Vaccination,350.0,Yes,82.35,3297.0,7.53,46106.0,0.75,74.01 +28431,USA,2020,COVID-19,Neurological,7.14,14.71,5.61,61+,Other,659256,92.26,3.9,2.61,Surgery,4024.0,No,55.0,4540.0,4.03,34149.0,0.46,82.72 +28438,Nigeria,2000,Cancer,Viral,19.16,14.67,1.29,19-35,Male,284901,57.69,2.97,9.69,Medication,21587.0,No,90.92,456.0,5.98,64596.0,0.75,69.62 +28443,South Korea,2016,Parkinson's Disease,Cardiovascular,1.11,1.52,5.92,36-60,Other,987273,69.65,3.4,6.99,Vaccination,20236.0,Yes,69.77,4963.0,5.57,14144.0,0.83,29.37 +28446,Germany,2018,Rabies,Metabolic,8.73,10.16,3.08,0-18,Other,925175,66.37,2.75,9.2,Therapy,10733.0,No,83.01,99.0,2.9,30022.0,0.41,86.23 +28447,USA,2016,Cancer,Bacterial,10.96,12.73,8.35,0-18,Male,585267,57.42,1.87,4.7,Therapy,34860.0,No,93.0,2232.0,3.95,87767.0,0.41,29.92 +28448,Brazil,2005,Alzheimer's Disease,Respiratory,15.02,2.08,6.44,36-60,Male,656865,63.48,0.57,3.68,Therapy,22253.0,Yes,84.72,4231.0,0.37,94295.0,0.54,58.55 +28461,UK,2005,Ebola,Cardiovascular,8.38,4.6,9.89,19-35,Other,657897,78.96,2.72,9.91,Surgery,9154.0,Yes,56.37,4138.0,5.17,77985.0,0.43,53.04 +28468,Indonesia,2019,Cancer,Parasitic,19.46,5.3,7.05,0-18,Other,817257,96.61,0.72,2.07,Medication,24024.0,Yes,69.7,1244.0,7.03,20333.0,0.52,41.4 +28484,Australia,2014,Zika,Metabolic,11.25,5.25,4.1,0-18,Female,516247,84.4,3.52,7.54,Medication,25997.0,Yes,70.03,3436.0,7.22,55889.0,0.86,77.73 +28487,Saudi Arabia,2014,Malaria,Autoimmune,4.74,13.06,2.68,61+,Male,92129,71.36,2.73,8.99,Surgery,6190.0,Yes,52.39,4960.0,6.22,50450.0,0.59,43.23 +28499,Indonesia,2007,HIV/AIDS,Bacterial,7.95,12.63,5.26,61+,Other,217099,64.7,4.65,6.18,Vaccination,25771.0,No,81.24,4626.0,7.28,40833.0,0.59,69.7 +28503,UK,2001,Cholera,Genetic,7.86,2.6,9.67,19-35,Female,571660,94.39,0.68,3.25,Medication,27144.0,Yes,81.78,1175.0,8.37,66011.0,0.88,89.89 +28507,India,2017,Tuberculosis,Parasitic,11.65,13.68,1.64,36-60,Female,42872,98.37,1.13,7.7,Medication,25906.0,No,77.59,1415.0,4.64,12419.0,0.56,69.15 +28515,India,2018,Leprosy,Neurological,3.75,13.27,9.13,61+,Other,915346,71.61,3.35,6.11,Surgery,26214.0,No,51.03,3459.0,7.87,67796.0,0.5,49.51 +28522,USA,2024,Alzheimer's Disease,Respiratory,16.7,6.23,8.1,0-18,Other,54680,72.97,0.53,5.11,Surgery,30500.0,No,86.23,3131.0,3.3,28187.0,0.88,71.83 +28525,Indonesia,2003,Rabies,Cardiovascular,5.18,7.16,3.64,36-60,Male,18273,96.65,1.57,1.59,Surgery,35816.0,No,94.16,237.0,4.74,62453.0,0.4,32.28 +28527,Australia,2013,Hepatitis,Viral,7.32,14.94,9.81,0-18,Male,685571,98.96,2.28,3.16,Surgery,43322.0,No,95.93,644.0,6.5,27126.0,0.81,63.58 +28530,France,2020,Hypertension,Chronic,13.95,8.77,6.93,0-18,Male,993455,74.71,3.72,7.8,Therapy,11198.0,Yes,59.1,1797.0,7.08,18545.0,0.76,31.07 +28539,France,2020,Ebola,Parasitic,6.82,3.58,1.75,36-60,Male,970447,85.3,1.23,5.35,Medication,34984.0,Yes,63.81,790.0,5.36,45777.0,0.5,73.83 +28545,Germany,2017,Tuberculosis,Autoimmune,13.75,6.11,1.88,19-35,Male,94522,78.34,3.05,4.41,Vaccination,44127.0,No,63.75,4587.0,0.2,12268.0,0.76,82.3 +28546,Turkey,2006,Cholera,Parasitic,0.79,6.38,6.36,19-35,Female,302011,66.26,2.61,9.46,Surgery,31647.0,No,55.12,783.0,5.11,98060.0,0.44,41.68 +28557,Germany,2006,Influenza,Chronic,9.48,5.01,1.2,61+,Other,88608,74.49,1.86,3.13,Surgery,18130.0,Yes,80.74,3817.0,8.67,84369.0,0.61,36.62 +28560,Australia,2007,Parkinson's Disease,Metabolic,1.72,9.8,7.55,61+,Female,583181,74.11,1.6,4.81,Medication,16128.0,Yes,98.52,2181.0,4.53,72531.0,0.61,59.14 +28571,Saudi Arabia,2016,Zika,Bacterial,17.68,9.44,4.64,36-60,Male,1356,61.58,0.7,8.53,Surgery,28652.0,No,94.41,3722.0,4.79,47259.0,0.43,51.45 +28572,Russia,2000,Polio,Viral,11.74,6.24,3.94,36-60,Female,921278,56.79,2.77,1.88,Therapy,43970.0,No,74.42,2640.0,6.19,67742.0,0.83,67.75 +28577,UK,2009,Tuberculosis,Autoimmune,9.79,1.3,4.51,19-35,Male,472117,90.12,4.17,2.33,Surgery,41324.0,No,83.78,1493.0,1.89,19315.0,0.57,40.2 +28578,Turkey,2010,Parkinson's Disease,Chronic,0.79,9.35,7.61,61+,Male,152293,75.9,4.4,8.06,Medication,20758.0,Yes,59.99,3456.0,0.76,48695.0,0.5,80.56 +28581,Japan,2017,Tuberculosis,Infectious,12.58,2.21,7.5,61+,Other,751854,74.63,1.98,9.14,Therapy,819.0,Yes,90.3,2165.0,2.89,26065.0,0.78,70.13 +28583,Mexico,2016,Cholera,Viral,19.88,7.47,0.69,19-35,Male,955134,92.19,4.57,8.33,Surgery,9042.0,Yes,77.82,3341.0,1.12,54722.0,0.74,39.35 +28585,Australia,2009,Alzheimer's Disease,Genetic,17.43,12.33,2.79,61+,Other,352456,60.13,0.65,5.25,Therapy,35684.0,Yes,88.42,2886.0,5.21,27123.0,0.7,50.8 +28588,South Africa,2010,Cancer,Metabolic,9.64,10.76,8.41,19-35,Female,756262,58.99,3.92,1.09,Therapy,47306.0,Yes,82.69,2600.0,1.51,2361.0,0.67,42.59 +28606,Saudi Arabia,2012,Polio,Respiratory,17.21,10.77,6.13,19-35,Female,830155,85.52,2.65,7.52,Medication,33254.0,No,58.17,2543.0,6.95,65105.0,0.51,41.13 +28609,Australia,2004,Parkinson's Disease,Infectious,8.35,5.86,2.57,61+,Male,704429,55.94,2.07,2.39,Medication,1268.0,Yes,97.18,4632.0,6.31,99524.0,0.63,25.83 +28613,Australia,2010,Cholera,Respiratory,18.79,5.72,1.14,36-60,Male,421869,65.93,2.52,6.78,Surgery,2916.0,Yes,63.43,1634.0,2.48,7040.0,0.89,77.2 +28614,Brazil,2016,Leprosy,Chronic,15.17,1.06,8.35,61+,Male,60882,73.22,0.57,7.42,Surgery,16725.0,No,77.31,4035.0,9.59,99000.0,0.62,21.99 +28617,France,2007,Asthma,Metabolic,9.05,6.92,0.64,19-35,Other,602144,56.22,2.54,4.59,Medication,8506.0,Yes,55.4,3322.0,4.39,93735.0,0.8,75.69 +28621,Mexico,2022,Alzheimer's Disease,Infectious,3.49,11.95,0.1,36-60,Other,274610,74.08,1.98,8.12,Therapy,31346.0,Yes,79.79,3577.0,6.37,39397.0,0.55,31.77 +28628,Brazil,2021,Influenza,Infectious,6.8,4.54,5.29,61+,Female,551647,62.04,4.88,1.92,Therapy,12942.0,Yes,73.16,788.0,2.62,35745.0,0.77,31.57 +28651,Italy,2000,Cholera,Neurological,12.52,8.12,4.77,19-35,Male,581104,59.74,4.14,1.73,Vaccination,49024.0,Yes,52.26,1562.0,9.6,72451.0,0.74,75.65 +28653,South Africa,2017,Asthma,Infectious,18.08,13.54,5.66,36-60,Male,429344,62.67,0.56,4.84,Surgery,22272.0,Yes,80.29,1453.0,1.98,60896.0,0.77,81.89 +28660,Mexico,2002,Hypertension,Parasitic,8.43,13.26,5.14,0-18,Male,478052,98.77,4.47,7.87,Therapy,8858.0,Yes,81.93,2826.0,7.75,6928.0,0.41,63.26 +28661,Japan,2004,Diabetes,Parasitic,13.41,2.33,9.72,0-18,Male,382949,74.0,0.52,3.17,Surgery,35257.0,Yes,54.42,3780.0,3.24,6806.0,0.52,76.4 +28666,South Africa,2023,Zika,Genetic,12.98,5.43,3.29,61+,Other,106620,53.34,2.49,7.14,Surgery,11202.0,No,57.58,2870.0,9.69,95721.0,0.71,46.99 +28671,South Africa,2002,Measles,Metabolic,7.32,4.03,7.82,0-18,Male,743927,79.77,1.26,0.53,Surgery,20083.0,Yes,88.36,1467.0,4.16,74582.0,0.83,78.43 +28674,Saudi Arabia,2011,Cancer,Infectious,8.51,13.79,9.25,0-18,Other,360425,74.03,3.81,2.17,Surgery,48755.0,Yes,76.39,2498.0,7.71,67733.0,0.52,23.6 +28675,Argentina,2013,Alzheimer's Disease,Respiratory,16.49,3.46,8.33,19-35,Female,16679,74.63,3.87,3.84,Surgery,43970.0,Yes,93.92,1167.0,9.86,43174.0,0.74,78.84 +28682,Canada,2021,Malaria,Neurological,2.74,13.77,8.66,19-35,Female,516842,52.97,3.43,8.43,Surgery,21584.0,No,70.96,4002.0,6.14,99131.0,0.64,76.46 +28683,China,2006,COVID-19,Parasitic,12.09,5.78,0.84,0-18,Female,650977,86.46,2.56,8.63,Therapy,22770.0,Yes,55.03,1300.0,5.31,47033.0,0.56,36.0 +28688,Germany,2017,Alzheimer's Disease,Parasitic,18.18,8.22,5.26,0-18,Male,687733,78.92,0.81,5.59,Therapy,34466.0,No,76.24,1419.0,2.53,29109.0,0.76,43.67 +28697,USA,2021,Diabetes,Infectious,6.69,9.66,2.39,61+,Female,553042,60.4,2.43,2.86,Medication,20128.0,No,77.97,3931.0,2.79,2644.0,0.55,87.31 +28703,Argentina,2018,HIV/AIDS,Parasitic,9.32,14.37,2.76,0-18,Male,588701,58.89,3.69,9.11,Surgery,2490.0,Yes,62.88,896.0,0.48,8115.0,0.53,35.42 +28722,South Africa,2008,Cancer,Metabolic,12.32,1.9,6.83,36-60,Other,788810,67.94,3.08,0.88,Medication,6597.0,Yes,64.63,410.0,6.42,95295.0,0.55,48.56 +28723,Italy,2003,Zika,Viral,4.91,1.08,3.2,36-60,Other,417786,71.39,2.1,7.5,Medication,49090.0,No,84.35,807.0,6.33,1327.0,0.73,49.39 +28727,Germany,2024,Leprosy,Respiratory,13.05,11.45,2.75,36-60,Other,202008,85.13,4.29,8.31,Surgery,29998.0,No,93.42,3989.0,6.05,20965.0,0.88,54.39 +28730,China,2006,Diabetes,Neurological,11.5,7.28,6.92,36-60,Male,659197,77.48,2.73,9.51,Vaccination,32917.0,No,54.18,4037.0,5.14,13633.0,0.61,83.4 +28732,Japan,2016,Polio,Genetic,3.08,9.3,7.48,36-60,Other,470700,87.2,3.57,3.02,Surgery,8087.0,Yes,98.12,1493.0,1.35,87116.0,0.79,52.88 +28736,Argentina,2010,Hypertension,Chronic,9.1,8.46,3.87,0-18,Other,891618,82.18,3.56,9.04,Medication,36397.0,No,67.29,4957.0,6.53,47449.0,0.64,64.0 +28738,Russia,2016,Malaria,Metabolic,9.86,9.03,7.19,36-60,Other,916297,93.32,3.83,1.57,Therapy,11791.0,Yes,51.74,3483.0,5.37,65682.0,0.53,71.49 +28753,Turkey,2000,HIV/AIDS,Bacterial,9.23,9.13,1.6,0-18,Female,248348,97.6,4.42,2.57,Vaccination,6949.0,Yes,84.3,4893.0,9.05,35995.0,0.6,55.42 +28755,Russia,2006,Asthma,Cardiovascular,5.37,13.39,9.39,36-60,Female,983796,99.17,0.98,3.97,Surgery,45851.0,Yes,54.58,4808.0,5.55,59181.0,0.67,61.33 +28756,UK,2023,Parkinson's Disease,Viral,11.75,7.69,4.24,36-60,Other,379980,74.31,0.54,3.22,Vaccination,6129.0,No,70.38,962.0,2.67,94214.0,0.68,44.33 +28775,Mexico,2001,Hypertension,Autoimmune,17.17,8.33,0.75,0-18,Male,579075,56.86,4.45,3.19,Medication,15661.0,No,58.41,3803.0,7.03,7968.0,0.5,59.96 +28780,Argentina,2002,Dengue,Viral,16.9,10.54,7.93,61+,Female,730660,73.06,3.03,5.22,Medication,25061.0,No,83.56,2966.0,3.07,67554.0,0.77,41.49 +28783,South Korea,2009,Ebola,Infectious,10.14,11.86,2.93,19-35,Other,681865,55.5,4.09,6.49,Medication,29373.0,Yes,52.46,1738.0,8.55,83412.0,0.82,79.08 +28786,South Africa,2007,Zika,Chronic,4.64,3.17,2.81,36-60,Male,341150,55.93,3.52,5.79,Vaccination,45776.0,No,71.38,3051.0,2.91,57590.0,0.72,22.34 +28790,India,2011,Leprosy,Metabolic,8.12,8.48,9.5,61+,Other,297390,69.72,4.26,9.46,Vaccination,13650.0,No,53.02,4482.0,5.57,98589.0,0.68,88.93 +28797,Nigeria,2013,Leprosy,Parasitic,2.51,0.16,2.38,19-35,Other,930580,88.07,0.9,7.71,Therapy,44546.0,No,81.31,2081.0,7.25,88976.0,0.5,61.83 +28807,Argentina,2015,Rabies,Respiratory,5.4,13.11,3.62,19-35,Female,104048,89.12,4.68,9.27,Medication,18051.0,No,89.01,3967.0,8.13,66753.0,0.42,63.33 +28809,Brazil,2005,Leprosy,Metabolic,11.33,7.06,2.31,61+,Female,161846,91.91,1.55,8.51,Therapy,7854.0,No,53.32,3807.0,7.78,26184.0,0.65,62.65 +28812,Brazil,2003,Hepatitis,Autoimmune,15.44,6.37,9.1,36-60,Female,373967,90.44,1.32,5.55,Vaccination,17985.0,No,56.97,3483.0,0.52,27431.0,0.83,40.39 +28813,Brazil,2011,Diabetes,Autoimmune,0.79,14.56,8.05,61+,Other,732627,87.7,1.28,2.73,Vaccination,48750.0,No,98.31,4995.0,6.7,17071.0,0.88,79.97 +28819,India,2011,Malaria,Genetic,10.19,11.34,1.8,19-35,Female,75995,98.44,4.75,2.89,Therapy,11081.0,No,59.08,1977.0,6.41,28580.0,0.42,75.94 +28824,Canada,2001,Polio,Neurological,6.21,10.66,0.52,0-18,Male,48423,65.54,4.45,0.96,Therapy,45289.0,Yes,74.61,3941.0,5.63,34650.0,0.66,56.91 +28833,Indonesia,2005,Parkinson's Disease,Parasitic,6.24,0.45,2.67,0-18,Female,295613,55.22,0.9,0.56,Vaccination,49292.0,No,83.87,4866.0,8.25,19458.0,0.62,61.06 +28843,Nigeria,2021,Dengue,Infectious,2.15,13.47,4.87,61+,Male,84095,78.66,3.23,7.95,Vaccination,21405.0,No,73.72,1907.0,2.91,87672.0,0.53,64.13 +28845,Turkey,2023,HIV/AIDS,Infectious,16.67,12.95,2.54,0-18,Female,457799,86.34,1.57,1.81,Medication,718.0,No,69.95,3508.0,0.09,39634.0,0.72,42.33 +28848,Turkey,2004,Diabetes,Genetic,17.52,9.37,5.59,19-35,Male,367803,70.53,1.53,3.27,Therapy,23457.0,No,68.1,411.0,4.35,29368.0,0.77,48.08 +28852,South Korea,2022,Influenza,Parasitic,1.11,1.27,6.57,19-35,Female,985059,65.0,0.85,6.83,Vaccination,35502.0,Yes,68.94,2037.0,2.94,84863.0,0.87,69.88 +28854,UK,2023,HIV/AIDS,Metabolic,9.74,4.22,5.28,19-35,Male,772250,88.34,3.46,7.71,Therapy,37634.0,Yes,61.71,2755.0,4.88,14451.0,0.49,61.07 +28864,Argentina,2000,Ebola,Parasitic,15.72,10.32,2.13,0-18,Other,356440,67.16,0.5,6.29,Therapy,43804.0,No,97.2,1291.0,2.34,15811.0,0.83,69.9 +28868,Germany,2010,Diabetes,Viral,16.65,13.78,4.31,0-18,Male,358362,73.01,1.1,3.51,Medication,8310.0,No,95.33,1463.0,2.03,89975.0,0.67,50.37 +28871,Saudi Arabia,2016,HIV/AIDS,Autoimmune,14.39,6.38,0.98,19-35,Female,540720,83.22,3.49,7.4,Therapy,49150.0,Yes,95.03,961.0,6.37,59636.0,0.71,89.36 +28874,UK,2009,Influenza,Genetic,5.38,1.74,3.05,61+,Male,48544,93.96,0.55,5.2,Surgery,2778.0,Yes,69.79,940.0,1.61,59060.0,0.65,79.87 +28875,USA,2018,HIV/AIDS,Autoimmune,4.81,0.79,0.84,19-35,Female,209921,53.21,3.76,9.93,Therapy,40528.0,Yes,95.89,2787.0,1.39,41929.0,0.41,47.38 +28877,Germany,2014,Parkinson's Disease,Autoimmune,18.16,1.42,4.73,19-35,Female,42758,55.52,2.13,6.38,Surgery,40616.0,No,75.14,3410.0,9.72,48859.0,0.57,31.4 +28880,China,2008,Zika,Metabolic,6.75,13.86,6.23,0-18,Male,270148,67.11,4.85,8.43,Therapy,29155.0,Yes,96.61,779.0,9.16,20624.0,0.47,39.41 +28888,France,2019,Hepatitis,Viral,18.27,11.91,5.43,61+,Female,607484,74.96,4.82,3.88,Therapy,33348.0,No,96.62,480.0,6.72,86017.0,0.86,56.1 +28891,Japan,2011,Cholera,Respiratory,0.15,3.03,3.2,36-60,Male,14553,79.96,1.89,7.73,Medication,49247.0,No,61.44,2150.0,9.04,7124.0,0.83,67.86 +28893,China,2013,Hepatitis,Chronic,8.51,13.67,6.62,61+,Female,721378,81.5,1.66,0.53,Vaccination,30816.0,Yes,70.26,2801.0,4.45,46304.0,0.53,70.55 +28895,Nigeria,2006,Leprosy,Metabolic,0.68,3.03,7.56,61+,Female,614616,65.77,0.52,5.1,Therapy,20001.0,No,85.72,2589.0,3.47,4195.0,0.66,53.33 +28904,Japan,2019,Hepatitis,Autoimmune,3.88,11.16,8.01,61+,Male,851900,63.89,2.7,5.66,Surgery,40523.0,No,85.24,4334.0,5.47,90348.0,0.71,39.58 +28905,South Africa,2004,Parkinson's Disease,Viral,0.63,11.64,8.75,0-18,Female,696977,70.85,3.82,7.5,Vaccination,21747.0,Yes,86.14,1560.0,3.85,14479.0,0.7,26.0 +28913,Indonesia,2005,Influenza,Infectious,9.62,8.63,4.6,36-60,Male,883622,71.64,3.83,8.44,Surgery,30772.0,Yes,63.7,1172.0,5.88,47693.0,0.82,72.77 +28919,Turkey,2022,Rabies,Metabolic,15.14,14.76,4.87,61+,Male,322350,50.34,2.85,8.87,Therapy,31308.0,Yes,88.62,2321.0,2.9,7645.0,0.72,64.08 +28925,Brazil,2021,Influenza,Infectious,6.05,6.07,5.85,36-60,Male,430819,82.72,1.46,3.12,Medication,12004.0,No,75.7,2480.0,3.07,27308.0,0.79,57.97 +28926,Nigeria,2018,Influenza,Parasitic,18.78,1.18,0.57,19-35,Male,283175,71.64,1.29,9.57,Surgery,11190.0,No,81.47,166.0,1.5,22510.0,0.51,36.11 +28934,Nigeria,2014,Alzheimer's Disease,Viral,12.29,10.19,3.85,19-35,Other,69079,76.52,3.96,9.15,Medication,28154.0,No,86.66,833.0,3.75,78202.0,0.59,85.59 +28940,France,2023,Influenza,Respiratory,15.21,13.12,6.88,0-18,Male,442657,70.43,3.81,4.57,Therapy,32776.0,No,76.99,2682.0,2.02,69355.0,0.73,77.18 +28941,Indonesia,2010,Hepatitis,Chronic,8.26,8.96,9.66,36-60,Other,396441,86.5,3.4,1.39,Surgery,16996.0,Yes,79.67,635.0,6.44,38635.0,0.88,67.54 +28948,UK,2018,Cholera,Parasitic,17.33,13.74,6.43,36-60,Male,443443,93.74,1.7,3.39,Therapy,35823.0,No,52.22,4141.0,6.94,77787.0,0.68,29.5 +28951,Indonesia,2019,COVID-19,Neurological,19.88,3.84,7.74,61+,Other,19151,99.46,4.65,9.64,Medication,1725.0,Yes,77.09,2815.0,1.81,51892.0,0.62,23.05 +28954,USA,2002,Cholera,Bacterial,4.64,8.52,7.78,0-18,Female,103260,95.32,3.49,5.98,Vaccination,16013.0,No,77.92,1208.0,6.76,70640.0,0.62,50.78 +28967,Italy,2003,Diabetes,Infectious,1.8,8.32,4.16,0-18,Other,268235,70.01,2.96,3.15,Medication,35805.0,No,76.7,1374.0,3.53,3732.0,0.69,36.74 +28968,Australia,2024,Ebola,Cardiovascular,12.76,3.1,4.5,61+,Female,441361,90.7,2.33,8.94,Medication,13346.0,No,83.54,2268.0,8.47,94901.0,0.59,80.68 +28969,India,2008,Hypertension,Genetic,11.48,14.02,9.49,0-18,Female,313130,58.27,3.46,2.88,Medication,41484.0,No,84.25,1018.0,6.88,65183.0,0.62,20.77 +28974,Argentina,2013,Zika,Bacterial,5.22,9.05,6.75,61+,Male,48548,79.92,0.87,1.47,Surgery,3030.0,No,69.83,2195.0,3.87,76854.0,0.87,87.56 +28978,India,2021,Ebola,Metabolic,2.45,11.38,9.39,36-60,Other,623761,63.17,4.89,3.97,Medication,41721.0,No,82.61,3182.0,8.84,78400.0,0.49,39.94 +28990,France,2004,Leprosy,Autoimmune,12.44,10.09,1.09,61+,Male,521192,66.4,4.47,5.24,Surgery,44709.0,Yes,50.37,4556.0,8.47,17452.0,0.62,26.47 +28993,Brazil,2008,Tuberculosis,Bacterial,11.3,1.37,3.65,36-60,Female,53177,77.92,2.78,1.23,Surgery,32004.0,No,68.54,4437.0,1.03,29874.0,0.5,76.16 +29003,Nigeria,2007,Hypertension,Parasitic,6.54,9.43,9.42,19-35,Female,125699,98.29,1.71,2.89,Therapy,46295.0,Yes,63.97,3781.0,3.74,66431.0,0.75,85.26 +29004,Russia,2011,Hepatitis,Autoimmune,13.88,8.64,1.37,36-60,Male,773012,51.1,1.07,3.74,Vaccination,1249.0,No,56.01,4483.0,9.23,12748.0,0.85,70.76 +29008,South Africa,2020,Cholera,Autoimmune,4.18,7.76,4.01,19-35,Male,820995,51.08,1.84,7.47,Surgery,22662.0,No,86.74,943.0,0.37,85143.0,0.77,51.78 +29018,Mexico,2006,Hypertension,Parasitic,6.16,5.2,2.9,61+,Other,79869,95.68,0.55,5.28,Therapy,2007.0,Yes,90.2,2909.0,0.87,11234.0,0.49,30.1 +29019,USA,2010,Cancer,Infectious,1.53,4.11,2.78,61+,Other,60514,86.37,2.28,2.59,Therapy,24629.0,Yes,87.52,2918.0,9.6,45221.0,0.49,23.24 +29020,Turkey,2014,Cholera,Neurological,0.26,14.49,9.68,19-35,Male,386149,86.74,4.77,3.24,Surgery,44814.0,No,91.71,2416.0,6.5,64693.0,0.52,34.49 +29025,Australia,2003,Alzheimer's Disease,Cardiovascular,8.84,0.17,4.45,0-18,Male,598583,93.06,3.57,5.07,Therapy,8196.0,Yes,86.9,640.0,9.37,27476.0,0.82,81.74 +29026,Canada,2014,Cancer,Viral,12.16,13.69,6.61,19-35,Other,976447,75.41,3.99,5.74,Medication,14095.0,No,81.15,1421.0,9.1,27378.0,0.68,46.52 +29030,India,2015,Measles,Viral,8.86,14.3,3.79,19-35,Other,80163,86.92,2.93,3.69,Medication,49278.0,Yes,72.34,3149.0,6.1,68649.0,0.72,89.36 +29031,Turkey,2005,Cholera,Bacterial,14.46,4.71,6.42,36-60,Female,782061,62.5,4.94,6.39,Therapy,34665.0,No,53.75,3547.0,5.94,52077.0,0.46,86.4 +29034,China,2004,Hypertension,Genetic,2.33,3.55,9.56,36-60,Other,670357,80.91,4.2,4.81,Vaccination,24393.0,No,58.55,471.0,8.95,75751.0,0.49,81.07 +29038,Australia,2020,Influenza,Autoimmune,15.48,11.88,1.17,36-60,Other,213529,74.84,3.37,1.09,Medication,5517.0,Yes,54.36,4333.0,4.23,93062.0,0.51,35.84 +29039,Canada,2021,Polio,Neurological,7.47,8.39,3.32,36-60,Male,247501,86.39,0.57,2.91,Vaccination,38611.0,No,92.98,4636.0,8.12,71960.0,0.81,81.29 +29043,Indonesia,2003,Diabetes,Viral,8.92,13.62,1.41,36-60,Other,215344,56.81,2.99,1.63,Vaccination,2230.0,No,90.42,2787.0,8.87,38953.0,0.85,31.44 +29050,Russia,2017,HIV/AIDS,Bacterial,10.78,6.29,1.73,0-18,Other,642755,84.4,1.61,8.56,Therapy,33904.0,No,93.62,2884.0,6.49,43737.0,0.66,40.66 +29052,Saudi Arabia,2016,HIV/AIDS,Viral,4.07,7.71,4.31,61+,Male,322300,91.58,1.14,7.04,Vaccination,43766.0,Yes,55.83,851.0,9.35,87476.0,0.85,25.58 +29054,UK,2015,Hypertension,Viral,17.25,12.66,8.44,19-35,Other,953242,67.41,1.79,5.36,Medication,254.0,Yes,60.4,1070.0,9.72,96390.0,0.88,84.93 +29056,India,2007,Cancer,Viral,8.95,5.04,2.06,0-18,Male,449554,65.33,0.72,0.87,Therapy,36605.0,No,88.42,1169.0,8.82,87639.0,0.88,23.25 +29060,South Africa,2005,Hepatitis,Respiratory,3.06,2.47,4.17,0-18,Female,363761,74.76,5.0,7.22,Vaccination,14253.0,Yes,90.57,3419.0,8.56,80101.0,0.81,40.1 +29062,India,2009,Measles,Metabolic,16.7,11.99,2.12,0-18,Other,71174,95.55,3.55,7.05,Vaccination,42794.0,Yes,51.95,16.0,3.59,16561.0,0.76,80.56 +29064,South Africa,2000,Measles,Autoimmune,1.26,5.11,4.02,36-60,Female,357426,91.32,3.92,5.38,Vaccination,9449.0,Yes,63.54,4127.0,3.75,5190.0,0.82,57.91 +29065,South Africa,2016,Ebola,Parasitic,9.48,1.19,7.74,36-60,Female,442727,64.84,4.01,5.5,Therapy,5466.0,No,71.79,2071.0,4.93,95157.0,0.55,49.26 +29078,Japan,2022,Rabies,Metabolic,17.87,13.37,9.42,19-35,Other,460925,88.67,4.35,9.17,Vaccination,13253.0,No,66.74,1866.0,5.3,89593.0,0.8,47.94 +29081,France,2013,Influenza,Cardiovascular,10.81,11.87,0.27,0-18,Female,236734,97.85,4.29,4.85,Vaccination,5595.0,Yes,73.42,2289.0,8.17,93877.0,0.65,36.19 +29083,Turkey,2002,Measles,Viral,4.13,9.44,4.94,61+,Male,977428,52.81,4.87,9.53,Surgery,6996.0,Yes,90.16,1678.0,0.73,87679.0,0.8,43.48 +29087,Italy,2009,Malaria,Bacterial,13.82,13.02,9.95,0-18,Male,705427,94.56,2.72,5.92,Vaccination,15451.0,No,62.59,3281.0,4.43,63046.0,0.8,41.24 +29101,UK,2010,Influenza,Metabolic,4.6,4.41,5.52,36-60,Male,136954,97.3,2.46,6.71,Medication,24962.0,Yes,50.77,3293.0,7.6,41907.0,0.64,33.09 +29113,Saudi Arabia,2017,Parkinson's Disease,Infectious,11.17,8.18,9.55,0-18,Other,150519,74.87,4.03,8.15,Medication,10941.0,No,60.35,1510.0,7.98,72271.0,0.59,88.35 +29124,Canada,2019,Hypertension,Chronic,1.63,14.18,3.94,19-35,Male,122955,79.77,1.36,3.09,Surgery,12933.0,Yes,59.58,609.0,6.57,34384.0,0.43,73.78 +29125,Italy,2013,Influenza,Viral,6.49,14.1,6.14,36-60,Other,900750,61.24,4.23,7.26,Surgery,25239.0,No,93.38,2186.0,9.14,24895.0,0.41,28.19 +29135,USA,2020,Malaria,Metabolic,3.86,10.6,6.17,61+,Other,218006,66.62,2.09,0.71,Medication,14698.0,Yes,56.77,4846.0,1.34,88218.0,0.49,41.65 +29138,Argentina,2001,HIV/AIDS,Parasitic,6.74,10.53,1.19,0-18,Other,230991,54.14,3.81,5.3,Surgery,14161.0,No,71.47,1432.0,7.33,19779.0,0.76,35.95 +29147,Mexico,2009,Malaria,Bacterial,15.67,9.01,3.8,19-35,Female,752295,71.48,4.96,3.51,Surgery,25803.0,Yes,61.45,3599.0,9.1,94542.0,0.85,39.57 +29150,South Africa,2017,Polio,Parasitic,10.08,3.72,8.4,36-60,Male,414326,56.81,2.28,4.69,Therapy,20578.0,Yes,67.71,2863.0,5.37,81335.0,0.85,75.45 +29154,China,2022,Alzheimer's Disease,Autoimmune,19.67,3.44,7.07,61+,Male,100236,85.26,1.45,7.64,Medication,36680.0,Yes,72.19,2494.0,3.72,88882.0,0.88,51.54 +29155,China,2009,Cancer,Infectious,10.94,2.05,1.63,0-18,Female,374518,93.92,0.87,2.51,Medication,2321.0,No,72.69,4333.0,2.26,49547.0,0.55,21.08 +29157,Canada,2013,Malaria,Parasitic,4.2,10.57,5.75,19-35,Other,730840,85.41,4.41,5.38,Therapy,16165.0,Yes,84.95,3707.0,2.06,43435.0,0.76,63.21 +29158,Mexico,2014,HIV/AIDS,Chronic,15.72,11.41,0.63,0-18,Other,687532,75.53,4.9,2.41,Vaccination,42659.0,Yes,68.88,2150.0,3.22,19894.0,0.48,20.68 +29160,China,2018,Diabetes,Genetic,4.51,3.47,5.87,19-35,Male,186792,64.37,3.7,5.98,Therapy,26438.0,Yes,60.94,2299.0,3.99,33920.0,0.86,71.76 +29163,Saudi Arabia,2020,Parkinson's Disease,Autoimmune,8.43,7.55,2.97,0-18,Female,339768,80.99,3.62,8.53,Therapy,24433.0,Yes,81.31,2705.0,6.22,38789.0,0.55,38.25 +29166,Turkey,2001,COVID-19,Parasitic,4.47,11.89,1.87,19-35,Female,215322,67.24,2.55,3.85,Surgery,21552.0,No,86.17,3438.0,6.22,80712.0,0.77,55.39 +29178,Nigeria,2003,Rabies,Metabolic,12.91,13.24,6.24,19-35,Female,498841,70.55,3.19,4.87,Surgery,10778.0,Yes,78.13,1765.0,7.3,40621.0,0.67,88.43 +29179,Brazil,2014,Measles,Infectious,10.08,6.06,5.93,0-18,Other,400682,94.5,3.89,7.12,Medication,39371.0,Yes,75.54,4877.0,8.75,40951.0,0.81,72.18 +29191,Brazil,2001,Asthma,Cardiovascular,14.27,8.97,4.74,61+,Female,124805,65.17,4.74,3.42,Vaccination,27746.0,No,84.81,3204.0,6.4,16873.0,0.44,27.68 +29192,UK,2002,Alzheimer's Disease,Autoimmune,16.88,11.69,9.25,19-35,Male,385104,52.18,3.35,6.12,Therapy,6535.0,No,68.35,849.0,1.03,84960.0,0.57,42.25 +29194,China,2012,Zika,Viral,15.66,7.63,6.3,61+,Male,736418,85.92,4.29,5.7,Therapy,43294.0,No,90.76,411.0,1.64,17009.0,0.53,88.85 +29197,South Korea,2005,Alzheimer's Disease,Bacterial,3.21,10.99,7.54,36-60,Male,371132,55.12,3.95,1.21,Surgery,12653.0,No,61.66,4597.0,3.46,27124.0,0.58,65.82 +29203,Canada,2001,HIV/AIDS,Viral,6.08,1.31,5.06,19-35,Other,417478,69.2,4.51,7.87,Therapy,11000.0,No,79.96,392.0,4.85,81304.0,0.84,48.4 +29208,UK,2001,COVID-19,Metabolic,13.41,10.0,4.47,61+,Male,630387,86.69,1.01,6.47,Vaccination,2630.0,Yes,52.81,270.0,4.57,31491.0,0.55,57.83 +29209,USA,2009,Leprosy,Genetic,4.6,13.7,3.46,19-35,Female,842506,80.05,4.65,8.26,Medication,33217.0,No,78.94,1728.0,1.48,10958.0,0.45,20.89 +29216,UK,2008,Measles,Infectious,1.45,1.32,2.34,0-18,Other,636730,74.81,1.86,4.06,Therapy,48845.0,No,68.96,3080.0,0.24,57477.0,0.53,28.24 +29219,Argentina,2014,Hepatitis,Chronic,13.74,14.22,0.11,61+,Male,364331,62.12,1.49,2.21,Medication,25448.0,Yes,66.17,1323.0,8.12,96793.0,0.71,89.59 +29223,India,2004,Hypertension,Metabolic,19.71,0.96,5.45,0-18,Male,28024,84.36,2.48,1.58,Medication,622.0,No,82.08,2085.0,3.76,90912.0,0.55,75.2 +29232,China,2013,Influenza,Genetic,3.22,9.35,6.93,0-18,Male,172191,86.53,1.02,6.74,Surgery,35543.0,Yes,93.67,2570.0,4.31,17376.0,0.8,83.4 +29239,Russia,2008,Alzheimer's Disease,Infectious,2.47,3.13,8.97,61+,Female,364708,62.55,3.12,6.35,Surgery,23117.0,No,59.33,3212.0,7.93,61481.0,0.63,87.17 +29248,South Korea,2017,Ebola,Autoimmune,17.91,3.48,7.75,19-35,Female,655158,77.86,3.9,6.64,Vaccination,14061.0,No,66.01,2138.0,9.55,97012.0,0.88,43.23 +29249,Indonesia,2012,Measles,Chronic,7.96,1.85,9.73,19-35,Other,530511,61.88,0.75,0.79,Vaccination,31938.0,Yes,76.11,3971.0,4.52,555.0,0.43,59.12 +29253,USA,2015,Parkinson's Disease,Neurological,17.88,6.74,7.33,19-35,Female,45330,82.58,0.95,4.07,Therapy,16881.0,Yes,79.66,3523.0,7.3,1669.0,0.52,38.93 +29255,Argentina,2019,Diabetes,Chronic,17.95,9.92,0.69,61+,Female,299032,79.41,1.94,1.24,Vaccination,43958.0,Yes,85.59,782.0,7.03,55794.0,0.84,43.36 +29258,Germany,2018,Parkinson's Disease,Autoimmune,3.7,2.94,3.63,61+,Male,290665,72.49,3.45,8.0,Vaccination,33090.0,No,66.03,780.0,6.28,94307.0,0.61,64.42 +29263,Saudi Arabia,2021,Cancer,Bacterial,7.03,7.01,8.77,36-60,Male,679922,80.22,4.44,4.53,Vaccination,34913.0,No,67.14,2492.0,8.11,72096.0,0.66,36.53 +29272,Argentina,2019,Hepatitis,Metabolic,18.63,9.27,7.95,0-18,Female,422035,73.4,4.17,1.58,Surgery,29160.0,No,73.7,3808.0,3.66,98386.0,0.89,30.28 +29275,UK,2016,Influenza,Infectious,9.45,4.57,0.13,19-35,Other,665339,87.95,1.81,7.27,Surgery,16182.0,Yes,87.94,2418.0,9.21,31977.0,0.4,58.97 +29276,France,2024,Asthma,Infectious,3.35,13.66,8.26,0-18,Male,732491,80.92,3.67,6.88,Medication,1461.0,Yes,85.46,2310.0,5.48,18261.0,0.71,86.33 +29279,Germany,2001,Cholera,Autoimmune,5.54,3.51,2.49,36-60,Male,92970,56.18,1.09,4.04,Surgery,18842.0,No,81.46,891.0,9.3,37453.0,0.72,33.46 +29286,Indonesia,2000,Cholera,Cardiovascular,3.92,2.84,3.69,0-18,Male,451292,86.57,0.74,7.44,Medication,38586.0,No,51.47,201.0,3.24,86009.0,0.81,85.55 +29287,UK,2000,Polio,Neurological,3.38,0.4,2.9,61+,Other,526992,71.1,2.36,7.09,Surgery,21976.0,No,88.33,1120.0,6.79,68039.0,0.81,76.77 +29301,South Korea,2013,Cancer,Respiratory,17.15,0.78,2.82,61+,Female,277229,98.67,1.87,1.16,Vaccination,45688.0,Yes,63.45,1335.0,3.29,22781.0,0.7,49.31 +29303,South Korea,2015,Dengue,Metabolic,2.06,10.78,0.74,19-35,Female,945935,74.21,3.13,8.43,Therapy,39243.0,No,66.56,1064.0,7.51,20552.0,0.43,83.61 +29309,Russia,2014,Alzheimer's Disease,Neurological,9.53,12.52,0.78,36-60,Other,928695,72.61,2.07,5.29,Therapy,37383.0,Yes,90.37,2186.0,2.44,98860.0,0.71,80.39 +29312,Japan,2004,Hypertension,Bacterial,4.5,10.09,8.47,61+,Female,806614,59.35,4.07,2.19,Medication,39754.0,Yes,74.45,4049.0,3.33,98182.0,0.81,50.23 +29313,Japan,2022,Leprosy,Metabolic,3.6,7.2,5.4,36-60,Other,312543,92.81,4.86,7.81,Therapy,18599.0,Yes,79.79,4918.0,5.01,21443.0,0.84,89.59 +29316,Turkey,2004,HIV/AIDS,Chronic,9.75,13.62,4.1,19-35,Female,814433,82.41,0.87,4.09,Medication,16259.0,No,93.37,3121.0,2.15,80687.0,0.58,56.44 +29324,South Africa,2017,Hepatitis,Parasitic,2.98,4.02,9.19,19-35,Other,550395,61.41,4.7,9.69,Medication,31321.0,Yes,65.85,1290.0,0.55,36755.0,0.49,60.68 +29326,UK,2022,COVID-19,Bacterial,8.97,5.94,8.3,36-60,Other,83542,81.02,2.21,8.26,Surgery,26914.0,Yes,81.1,3920.0,4.15,64028.0,0.49,24.13 +29330,Canada,2003,Ebola,Respiratory,3.77,10.8,2.54,61+,Female,461728,88.29,1.16,7.88,Therapy,30952.0,No,86.95,1893.0,6.91,2929.0,0.68,23.09 +29352,UK,2013,HIV/AIDS,Autoimmune,9.15,0.89,6.65,0-18,Female,759244,54.09,1.47,9.87,Therapy,11500.0,No,75.94,1274.0,2.27,33112.0,0.86,83.17 +29364,France,2007,Alzheimer's Disease,Bacterial,10.31,5.06,3.8,0-18,Male,49894,72.16,2.65,2.32,Vaccination,39877.0,Yes,65.11,2045.0,9.12,82956.0,0.9,89.79 +29369,South Africa,2017,Hypertension,Autoimmune,6.22,2.94,0.76,0-18,Female,780436,76.85,1.8,5.72,Surgery,32707.0,No,98.97,1471.0,5.87,64751.0,0.6,84.2 +29374,France,2001,COVID-19,Autoimmune,1.92,9.63,4.81,0-18,Female,837378,91.7,3.15,6.77,Surgery,27225.0,No,59.11,583.0,2.03,19818.0,0.43,86.67 +29375,USA,2015,Zika,Chronic,8.91,12.66,0.33,19-35,Male,734797,56.38,4.54,7.16,Therapy,14570.0,Yes,62.73,3594.0,0.94,11739.0,0.87,46.7 +29387,Mexico,2002,Diabetes,Genetic,0.49,8.99,6.9,61+,Other,622876,54.32,3.59,1.69,Therapy,42482.0,No,54.78,3920.0,0.18,49556.0,0.54,85.15 +29399,South Africa,2007,HIV/AIDS,Infectious,12.58,1.15,7.91,19-35,Female,384214,86.5,2.25,2.37,Therapy,3849.0,Yes,91.56,2531.0,6.62,99733.0,0.7,61.2 +29401,Russia,2003,Cholera,Infectious,9.57,4.91,5.87,61+,Male,41030,81.38,3.59,6.33,Vaccination,20155.0,No,50.88,4143.0,4.44,44874.0,0.44,48.93 +29421,Mexico,2013,Malaria,Cardiovascular,17.85,5.28,8.72,19-35,Male,66979,63.36,0.96,9.96,Medication,16272.0,No,60.34,2808.0,3.14,92253.0,0.55,38.46 +29422,Indonesia,2006,Asthma,Infectious,11.75,0.21,4.05,0-18,Male,55493,66.1,1.12,1.63,Surgery,24848.0,Yes,79.7,4936.0,10.0,63457.0,0.7,31.54 +29425,Indonesia,2005,Cancer,Respiratory,19.69,13.02,6.63,61+,Female,777015,90.32,1.67,7.14,Vaccination,49849.0,Yes,59.16,4615.0,2.05,23056.0,0.74,86.55 +29426,USA,2017,Malaria,Neurological,17.76,2.57,1.02,0-18,Other,861669,54.81,1.87,1.19,Vaccination,16051.0,Yes,62.88,3421.0,3.81,38621.0,0.63,74.18 +29427,Japan,2016,Tuberculosis,Cardiovascular,3.66,12.52,7.92,19-35,Other,882415,77.02,1.18,9.59,Therapy,49928.0,Yes,94.43,2419.0,4.92,12850.0,0.68,66.45 +29436,Russia,2003,Rabies,Cardiovascular,9.17,10.07,4.15,36-60,Female,993260,94.79,4.62,8.49,Vaccination,48084.0,No,73.88,1665.0,6.24,49631.0,0.51,50.52 +29437,India,2005,Parkinson's Disease,Cardiovascular,17.15,11.7,4.08,0-18,Female,290935,50.51,3.17,4.04,Medication,17608.0,No,67.84,704.0,7.94,37120.0,0.46,25.82 +29439,Germany,2023,Dengue,Respiratory,11.02,9.87,5.88,19-35,Other,92996,93.08,2.08,2.93,Surgery,5651.0,No,73.32,793.0,8.91,50065.0,0.76,63.66 +29447,Brazil,2022,Hepatitis,Metabolic,15.82,14.67,3.54,19-35,Female,210325,84.31,1.75,4.13,Therapy,19530.0,Yes,66.22,4781.0,3.08,22221.0,0.63,52.56 +29451,Nigeria,2010,Polio,Chronic,17.1,14.53,4.24,19-35,Female,622647,75.8,4.6,3.77,Therapy,34363.0,No,58.02,3968.0,7.96,67795.0,0.49,59.11 +29465,Canada,2007,Cholera,Viral,14.75,14.59,0.82,19-35,Male,682841,66.54,3.93,2.91,Therapy,38441.0,No,64.3,4773.0,9.98,60254.0,0.56,28.57 +29469,South Korea,2011,Malaria,Autoimmune,15.32,7.12,3.1,0-18,Female,861924,91.07,4.3,7.72,Therapy,41171.0,No,65.75,4396.0,3.12,79736.0,0.72,77.36 +29470,Russia,2002,Tuberculosis,Respiratory,7.16,10.93,5.4,19-35,Other,298578,83.9,3.97,0.81,Therapy,838.0,Yes,89.31,4225.0,2.41,63718.0,0.42,74.74 +29474,Russia,2022,Leprosy,Viral,12.49,5.21,7.73,61+,Male,305132,68.02,2.85,5.34,Vaccination,17740.0,Yes,58.44,1470.0,3.68,86174.0,0.85,45.65 +29492,India,2018,Rabies,Viral,6.23,4.81,1.06,19-35,Other,462594,65.49,2.57,7.19,Medication,18583.0,No,69.27,1602.0,9.44,30099.0,0.46,89.34 +29495,Argentina,2018,Hepatitis,Metabolic,16.68,4.13,2.44,36-60,Other,921488,51.18,2.72,9.95,Medication,16160.0,No,50.82,2705.0,0.26,25920.0,0.68,29.59 +29506,Italy,2022,Asthma,Bacterial,8.72,6.34,8.92,19-35,Other,609000,68.91,3.8,7.06,Vaccination,16684.0,No,73.67,4298.0,4.09,75375.0,0.49,75.4 +29516,China,2001,Measles,Chronic,0.5,6.58,0.67,19-35,Other,652388,84.71,4.38,2.41,Medication,8816.0,Yes,76.18,1941.0,5.76,1422.0,0.83,68.95 +29518,Canada,2022,Tuberculosis,Genetic,8.81,8.46,3.59,0-18,Other,129537,78.52,2.57,8.94,Surgery,13325.0,Yes,61.88,4944.0,2.82,51060.0,0.58,62.95 +29526,UK,2017,Diabetes,Viral,7.81,4.1,9.44,19-35,Other,546411,65.63,0.67,8.96,Therapy,39321.0,No,65.67,1848.0,3.83,68982.0,0.43,31.7 +29529,Brazil,2021,Cholera,Autoimmune,12.05,2.68,4.68,36-60,Male,613377,96.93,2.55,6.31,Medication,24328.0,Yes,68.51,3010.0,6.5,21223.0,0.9,83.49 +29536,Canada,2016,Cancer,Respiratory,14.01,12.28,9.07,61+,Other,528723,57.66,4.65,6.23,Surgery,11643.0,Yes,50.72,1703.0,3.05,19739.0,0.83,72.05 +29548,Australia,2024,Influenza,Respiratory,8.58,3.9,2.65,19-35,Female,634414,99.22,3.77,2.34,Therapy,45071.0,Yes,56.26,3251.0,8.14,28118.0,0.4,72.08 +29558,Japan,2006,Cholera,Genetic,7.29,12.01,0.85,36-60,Male,240692,81.98,3.8,3.31,Vaccination,36866.0,No,58.67,770.0,9.16,52224.0,0.88,56.98 +29562,Mexico,2013,Tuberculosis,Autoimmune,18.86,9.2,5.64,61+,Female,920637,55.31,3.71,8.12,Medication,35478.0,Yes,73.12,719.0,4.24,5648.0,0.65,29.23 +29563,India,2016,COVID-19,Autoimmune,6.66,5.4,1.26,61+,Male,482218,90.06,3.71,1.13,Medication,5910.0,No,59.05,600.0,9.09,47640.0,0.71,82.29 +29566,Turkey,2005,Measles,Metabolic,14.05,12.21,7.11,19-35,Other,341463,70.8,0.93,4.23,Surgery,18266.0,No,87.07,4111.0,0.94,13782.0,0.68,30.97 +29570,UK,2024,Measles,Chronic,12.18,0.77,7.37,0-18,Other,193554,98.12,1.51,7.7,Vaccination,31944.0,No,93.33,1768.0,6.38,15638.0,0.58,67.47 +29572,Argentina,2006,Polio,Autoimmune,14.31,9.55,0.68,19-35,Male,974315,73.26,4.74,5.49,Therapy,10482.0,No,78.07,3732.0,8.29,23655.0,0.41,46.35 +29585,Turkey,2010,Asthma,Autoimmune,1.28,14.26,2.99,19-35,Other,582852,89.08,4.2,6.02,Medication,8423.0,Yes,85.31,1142.0,6.69,21957.0,0.44,69.09 +29587,Russia,2001,Polio,Autoimmune,19.6,1.37,0.62,36-60,Other,503085,88.17,1.1,1.72,Medication,38994.0,No,68.04,802.0,9.3,44924.0,0.67,80.24 +29589,China,2011,Dengue,Autoimmune,11.92,9.25,6.19,61+,Female,980882,66.34,3.71,5.4,Surgery,46460.0,No,91.35,4101.0,5.97,43007.0,0.6,40.76 +29601,Germany,2004,Cholera,Parasitic,4.63,13.19,9.55,61+,Other,695827,69.33,4.13,9.1,Surgery,48134.0,Yes,81.59,2462.0,6.68,56961.0,0.64,35.5 +29604,Germany,2020,Dengue,Bacterial,8.26,1.2,7.22,61+,Male,140828,88.65,2.13,2.5,Therapy,15387.0,Yes,88.36,3193.0,0.14,89570.0,0.58,49.83 +29605,Argentina,2007,Hypertension,Infectious,13.68,11.8,6.88,36-60,Male,486932,62.67,4.07,6.49,Surgery,34898.0,Yes,52.35,4797.0,3.18,10020.0,0.72,39.58 +29607,Australia,2019,Hepatitis,Cardiovascular,17.23,14.39,2.04,61+,Male,968184,71.14,4.47,9.39,Surgery,28419.0,Yes,89.82,2251.0,1.36,54552.0,0.77,26.48 +29615,Russia,2001,Rabies,Infectious,6.27,11.23,5.64,36-60,Other,38106,82.53,2.25,0.96,Vaccination,18599.0,Yes,60.7,2227.0,8.95,22054.0,0.67,79.69 +29616,Japan,2011,Tuberculosis,Autoimmune,14.81,3.12,0.13,36-60,Female,449440,79.31,3.74,5.95,Vaccination,41580.0,Yes,50.95,2836.0,3.79,16721.0,0.79,58.63 +29620,South Korea,2008,Hypertension,Chronic,2.64,4.0,7.22,19-35,Other,801662,86.35,1.18,5.3,Surgery,39924.0,No,79.26,730.0,7.41,49194.0,0.71,82.71 +29623,Indonesia,2013,Cancer,Parasitic,2.31,1.47,2.87,36-60,Female,126017,57.8,3.06,9.15,Medication,35151.0,Yes,75.7,4911.0,9.44,40013.0,0.7,36.38 +29627,Italy,2023,Measles,Bacterial,8.04,9.05,7.82,36-60,Other,930835,74.26,4.58,9.41,Therapy,15629.0,No,71.88,4068.0,7.21,30851.0,0.75,43.89 +29628,Saudi Arabia,2001,Cholera,Infectious,18.71,0.53,6.89,61+,Other,407126,50.27,2.41,9.52,Vaccination,37423.0,No,97.03,2370.0,1.44,38122.0,0.49,20.06 +29629,Mexico,2006,Malaria,Parasitic,13.52,11.54,0.36,61+,Female,687037,69.17,3.78,6.3,Vaccination,25811.0,No,91.11,3206.0,0.31,45864.0,0.82,25.91 +29637,Germany,2002,Influenza,Metabolic,15.86,12.15,3.96,0-18,Male,434203,60.83,3.27,3.54,Medication,11399.0,Yes,61.55,2028.0,4.82,28697.0,0.73,48.25 +29639,Canada,2023,HIV/AIDS,Genetic,10.62,7.96,1.57,36-60,Male,189612,87.47,1.15,8.38,Surgery,19647.0,No,62.44,4610.0,9.92,45187.0,0.76,26.25 +29648,Mexico,2016,Tuberculosis,Genetic,7.77,7.94,9.09,36-60,Male,38079,64.32,3.53,0.65,Surgery,34640.0,No,65.58,4931.0,7.36,93392.0,0.68,42.68 +29649,Brazil,2009,Cancer,Bacterial,8.37,12.55,4.66,36-60,Male,515059,74.04,3.28,2.86,Therapy,33127.0,No,74.3,1644.0,0.69,39511.0,0.68,80.15 +29654,Nigeria,2017,Zika,Bacterial,2.93,7.95,3.6,61+,Female,386062,59.85,1.9,1.65,Medication,3647.0,Yes,92.38,3483.0,7.31,90410.0,0.46,53.65 +29659,Australia,2000,Alzheimer's Disease,Genetic,1.54,0.71,2.54,0-18,Female,921746,96.38,4.45,2.79,Surgery,38390.0,No,78.21,1097.0,3.02,75640.0,0.6,45.96 +29663,Japan,2004,Asthma,Cardiovascular,3.89,5.93,3.04,19-35,Male,201538,63.03,0.52,0.51,Vaccination,8207.0,No,82.77,4320.0,1.46,30752.0,0.64,55.67 +29665,India,2019,Malaria,Cardiovascular,17.31,0.43,0.13,36-60,Male,569899,52.88,1.21,8.3,Surgery,41188.0,Yes,57.1,4342.0,7.7,9466.0,0.84,59.69 +29669,Argentina,2018,COVID-19,Viral,16.53,12.38,0.51,19-35,Other,32539,58.35,2.9,3.96,Vaccination,36323.0,No,58.64,3885.0,0.14,43421.0,0.64,35.63 +29671,UK,2018,Rabies,Infectious,18.45,1.3,7.6,19-35,Male,775805,64.52,1.13,3.57,Surgery,44888.0,No,94.58,2098.0,8.74,69562.0,0.72,81.92 +29675,Turkey,2009,Dengue,Viral,18.05,8.6,5.53,19-35,Female,823390,51.92,1.04,1.58,Surgery,34321.0,No,64.82,365.0,6.82,76532.0,0.79,72.27 +29683,China,2023,Diabetes,Respiratory,14.72,6.67,4.9,19-35,Other,179141,97.32,4.06,4.3,Vaccination,183.0,Yes,75.92,3431.0,9.75,36679.0,0.65,56.32 +29698,USA,2008,Rabies,Parasitic,13.32,1.03,4.42,19-35,Other,754140,53.42,3.22,8.61,Therapy,43255.0,Yes,74.89,1275.0,2.96,84720.0,0.49,26.97 +29712,Mexico,2013,Malaria,Respiratory,12.92,10.5,5.06,0-18,Female,343424,96.48,4.35,9.78,Therapy,18036.0,Yes,79.91,1946.0,6.71,6552.0,0.5,48.24 +29718,Russia,2024,Zika,Cardiovascular,18.57,4.39,5.21,36-60,Other,405319,59.54,3.13,7.73,Medication,34278.0,Yes,80.93,1231.0,2.81,42097.0,0.47,44.29 +29720,UK,2018,Diabetes,Autoimmune,0.22,7.6,9.04,19-35,Male,613906,58.58,0.7,8.57,Therapy,6240.0,No,78.86,4790.0,0.26,80526.0,0.54,67.16 +29721,Saudi Arabia,2012,Zika,Genetic,17.44,6.53,5.29,19-35,Male,638930,53.0,3.29,2.16,Vaccination,12906.0,Yes,54.68,4195.0,8.62,59461.0,0.82,35.69 +29726,Saudi Arabia,2020,Dengue,Respiratory,3.62,5.89,8.5,19-35,Female,267041,58.57,1.02,3.72,Vaccination,3477.0,No,81.97,1311.0,0.25,61889.0,0.57,69.32 +29730,Canada,2014,Leprosy,Respiratory,16.8,12.57,5.69,36-60,Male,587567,59.42,4.32,6.43,Surgery,45263.0,No,86.19,2273.0,8.13,95343.0,0.7,49.41 +29732,Germany,2007,Dengue,Chronic,9.41,14.22,5.77,0-18,Other,29441,58.65,1.33,0.59,Vaccination,47637.0,No,50.56,997.0,1.28,89304.0,0.47,27.42 +29733,Brazil,2022,COVID-19,Autoimmune,4.44,6.07,2.53,61+,Other,310541,52.02,4.04,1.41,Surgery,5203.0,No,97.91,3715.0,6.02,56156.0,0.68,35.91 +29742,Turkey,2001,Malaria,Parasitic,7.18,5.16,6.62,0-18,Other,245876,74.48,2.15,4.19,Therapy,32256.0,No,72.23,2684.0,9.33,83630.0,0.75,22.95 +29744,India,2003,Parkinson's Disease,Viral,1.36,3.46,9.76,36-60,Female,793198,67.24,2.78,6.43,Therapy,6528.0,No,92.5,4560.0,4.61,53571.0,0.47,37.59 +29746,Australia,2016,Zika,Viral,4.55,2.55,8.24,0-18,Other,552512,54.25,1.02,3.99,Medication,9562.0,No,60.95,362.0,9.44,78050.0,0.78,44.56 +29752,India,2017,Cancer,Autoimmune,12.35,0.84,4.75,0-18,Other,360716,92.41,4.39,4.56,Medication,37251.0,No,61.18,2125.0,8.91,59916.0,0.63,20.92 +29761,Brazil,2003,Polio,Autoimmune,8.12,7.68,6.43,61+,Female,338515,60.25,3.62,8.38,Surgery,36492.0,Yes,93.33,4961.0,3.34,51631.0,0.49,34.61 +29762,China,2010,Zika,Genetic,2.17,7.34,2.14,19-35,Other,5060,82.96,1.48,3.41,Medication,46552.0,No,85.41,4642.0,5.65,5137.0,0.58,77.44 +29765,USA,2003,Ebola,Viral,6.99,6.44,0.17,0-18,Female,419094,77.47,3.54,4.81,Medication,27277.0,No,60.41,1392.0,4.52,52213.0,0.74,66.9 +29767,USA,2011,Rabies,Cardiovascular,18.8,6.94,1.42,61+,Other,201332,85.13,2.71,1.89,Medication,25739.0,No,80.79,4524.0,7.38,35642.0,0.64,34.47 +29769,India,2000,Cancer,Viral,14.55,6.84,7.9,0-18,Other,585239,72.69,1.4,5.76,Medication,7541.0,No,55.88,1648.0,4.76,80716.0,0.89,56.93 +29778,UK,2014,Cancer,Chronic,17.92,0.61,9.52,19-35,Male,740572,73.28,3.06,4.5,Therapy,11723.0,Yes,85.17,1808.0,5.82,10192.0,0.58,50.05 +29779,Turkey,2015,Alzheimer's Disease,Infectious,18.77,5.31,9.22,36-60,Female,880590,54.76,2.15,1.93,Medication,1873.0,Yes,94.84,2875.0,6.86,87022.0,0.41,46.08 +29780,Brazil,2014,Tuberculosis,Chronic,11.09,7.22,2.43,36-60,Female,410092,62.06,1.46,6.02,Vaccination,48118.0,Yes,76.19,4919.0,1.17,62350.0,0.43,41.41 +29783,Italy,2014,Cancer,Autoimmune,13.46,9.36,4.31,19-35,Female,243394,53.02,4.51,5.05,Therapy,15722.0,Yes,51.2,831.0,5.38,11451.0,0.84,70.12 +29793,USA,2017,Polio,Parasitic,17.81,12.86,7.39,36-60,Male,805645,99.58,1.28,9.62,Medication,38298.0,No,90.34,4126.0,1.31,87144.0,0.6,67.18 +29796,Japan,2000,Measles,Infectious,13.61,3.52,3.0,0-18,Other,796066,99.13,3.91,6.72,Therapy,23265.0,No,98.53,1830.0,2.38,24517.0,0.64,48.07 +29799,Turkey,2010,Tuberculosis,Respiratory,19.5,11.03,4.26,36-60,Female,183035,98.86,1.26,7.19,Medication,15178.0,No,66.26,2941.0,2.69,91321.0,0.73,38.3 +29800,Canada,2005,Hypertension,Viral,14.23,3.76,1.94,61+,Other,789946,73.01,2.54,7.44,Medication,21698.0,Yes,86.72,1297.0,9.94,46838.0,0.73,56.49 +29804,Argentina,2003,Zika,Metabolic,10.06,4.17,4.27,36-60,Other,612280,72.3,2.82,4.85,Vaccination,1282.0,Yes,58.48,1142.0,1.53,14572.0,0.45,61.03 +29805,USA,2016,Tuberculosis,Infectious,5.44,2.93,7.24,36-60,Female,3335,67.91,3.81,8.52,Medication,21940.0,No,56.74,895.0,7.14,25791.0,0.66,44.37 +29810,Germany,2001,COVID-19,Respiratory,13.8,4.94,2.34,61+,Male,624126,75.73,1.97,5.91,Therapy,29885.0,No,90.27,2730.0,1.06,67622.0,0.65,67.91 +29813,France,2019,Hypertension,Bacterial,16.57,5.9,6.6,19-35,Female,407829,57.42,3.08,2.23,Surgery,13802.0,Yes,51.83,794.0,3.44,36557.0,0.89,21.43 +29820,China,2018,Influenza,Infectious,17.95,3.66,2.66,61+,Female,824696,87.46,2.98,7.06,Therapy,5094.0,Yes,90.32,291.0,1.5,16748.0,0.44,39.93 +29823,Italy,2018,Alzheimer's Disease,Viral,11.4,8.18,2.32,61+,Other,834396,80.46,3.97,1.09,Therapy,32981.0,No,58.63,2019.0,8.12,37678.0,0.73,78.17 +29833,Russia,2002,Zika,Neurological,8.41,12.85,8.51,36-60,Male,123551,58.6,4.21,8.47,Therapy,6424.0,Yes,92.05,3620.0,1.64,40662.0,0.76,32.07 +29835,India,2000,Measles,Bacterial,5.75,4.21,1.25,36-60,Female,901116,64.78,1.13,5.97,Therapy,796.0,Yes,91.43,3951.0,8.09,8860.0,0.56,77.08 +29836,Indonesia,2019,Influenza,Metabolic,12.34,14.75,2.48,19-35,Other,695233,55.52,3.81,6.48,Therapy,48344.0,No,66.09,3307.0,4.68,17704.0,0.49,23.01 +29839,Australia,2013,Rabies,Genetic,13.51,11.27,4.98,61+,Female,796917,86.15,2.84,9.73,Surgery,19725.0,No,96.11,4142.0,2.17,81613.0,0.83,34.33 +29843,Turkey,2008,Rabies,Autoimmune,8.85,2.57,6.37,19-35,Female,656956,61.96,4.58,6.88,Surgery,45834.0,No,88.97,3346.0,0.65,62752.0,0.71,24.97 +29847,France,2012,Rabies,Bacterial,1.9,14.71,6.99,19-35,Male,348032,78.47,3.09,6.37,Surgery,47843.0,No,59.06,3280.0,4.88,78878.0,0.78,81.0 +29851,Canada,2011,Polio,Parasitic,19.43,1.8,9.85,0-18,Other,533082,77.42,3.25,2.23,Medication,48560.0,No,58.58,3623.0,6.21,46018.0,0.66,33.89 +29856,USA,2014,Leprosy,Neurological,15.32,2.71,7.47,0-18,Female,11123,52.8,4.42,3.57,Surgery,9595.0,Yes,97.22,2877.0,1.74,38247.0,0.8,46.0 +29863,Nigeria,2010,Diabetes,Metabolic,7.98,10.1,1.35,0-18,Other,771608,51.58,2.74,6.23,Therapy,30256.0,Yes,65.62,1027.0,7.2,19358.0,0.9,81.04 +29864,Turkey,2008,Hepatitis,Chronic,8.67,10.04,8.59,61+,Other,82604,60.84,3.38,2.59,Medication,11690.0,No,70.07,4368.0,2.38,26762.0,0.75,37.41 +29866,Germany,2002,Dengue,Respiratory,15.43,6.14,0.71,61+,Male,719752,53.27,3.36,4.96,Medication,6124.0,No,59.05,299.0,4.1,39074.0,0.61,53.62 +29871,France,2013,Polio,Metabolic,15.67,6.24,0.81,61+,Male,65317,68.34,1.25,6.1,Surgery,3984.0,Yes,83.34,915.0,9.94,73930.0,0.51,62.6 +29878,USA,2008,Influenza,Genetic,5.82,14.78,8.95,19-35,Other,395190,75.68,4.11,1.59,Therapy,38278.0,Yes,90.1,4256.0,0.8,37423.0,0.84,30.97 +29885,Brazil,2017,Cancer,Parasitic,3.22,9.29,7.53,0-18,Other,197745,96.67,2.85,3.25,Medication,16086.0,Yes,67.8,3490.0,4.5,54989.0,0.79,69.75 +29889,Japan,2017,Alzheimer's Disease,Infectious,0.43,6.77,1.16,0-18,Female,809179,90.51,0.86,7.36,Vaccination,34946.0,No,76.05,1965.0,3.21,53712.0,0.66,25.98 +29896,UK,2010,Influenza,Viral,7.73,11.01,3.53,0-18,Female,971517,60.99,4.7,6.79,Therapy,5750.0,No,76.21,1693.0,0.01,95661.0,0.84,66.33 +29901,South Korea,2011,Cholera,Metabolic,12.63,10.48,8.56,61+,Female,996792,56.3,2.79,9.95,Vaccination,25047.0,No,86.71,1870.0,1.31,46083.0,0.59,25.04 +29902,India,2013,Influenza,Infectious,4.86,1.59,6.8,36-60,Female,235279,97.67,3.54,7.13,Therapy,28950.0,No,58.43,2087.0,9.19,62563.0,0.44,32.97 +29917,France,2002,Tuberculosis,Autoimmune,14.42,6.67,4.13,61+,Male,804616,88.74,2.49,2.24,Surgery,18962.0,No,63.02,1569.0,8.29,50609.0,0.65,27.74 +29921,South Korea,2014,COVID-19,Genetic,14.44,8.37,9.63,61+,Male,443557,73.0,1.44,9.54,Vaccination,30836.0,No,68.41,745.0,8.46,70261.0,0.46,32.64 +29933,Nigeria,2005,Rabies,Genetic,14.22,14.35,5.07,19-35,Female,830333,55.0,4.28,1.68,Medication,34922.0,No,93.33,887.0,4.83,17205.0,0.55,50.57 +29940,South Korea,2010,Alzheimer's Disease,Parasitic,5.95,9.57,2.81,61+,Female,256095,61.73,1.88,8.14,Vaccination,27532.0,Yes,86.22,732.0,1.92,55647.0,0.44,84.0 +29950,Canada,2019,Measles,Cardiovascular,16.4,11.74,4.71,36-60,Female,836190,78.13,4.4,5.96,Vaccination,8338.0,Yes,82.03,2461.0,7.09,82431.0,0.75,52.21 +29957,Italy,2023,COVID-19,Chronic,15.01,13.71,1.64,36-60,Other,363775,56.94,2.55,1.0,Medication,40868.0,No,64.91,1811.0,7.18,91081.0,0.77,54.51 +29965,France,2003,Asthma,Neurological,17.53,4.72,9.48,19-35,Female,873228,54.57,3.63,6.81,Therapy,41778.0,No,71.03,2361.0,1.73,69310.0,0.41,40.7 +29966,China,2005,Measles,Infectious,0.9,10.89,5.07,36-60,Female,477024,53.32,1.35,4.88,Therapy,2099.0,Yes,74.72,1540.0,3.03,52003.0,0.59,66.37 +29968,Brazil,2022,Hypertension,Bacterial,2.38,2.61,2.84,61+,Male,926338,89.38,3.0,5.61,Surgery,32800.0,No,77.92,96.0,1.37,63111.0,0.64,77.42 +29971,Russia,2023,Malaria,Bacterial,18.83,13.59,4.09,0-18,Male,382947,67.17,1.18,2.22,Therapy,43614.0,Yes,90.77,1829.0,9.64,61258.0,0.43,61.02 +29972,Turkey,2005,Leprosy,Metabolic,17.46,13.21,6.57,0-18,Female,754454,78.72,3.68,4.08,Vaccination,33891.0,No,53.67,947.0,3.93,97512.0,0.86,40.53 +29976,France,2013,Hepatitis,Parasitic,2.59,3.75,4.06,36-60,Female,968898,91.48,0.87,8.59,Medication,34733.0,No,55.62,3068.0,8.2,92632.0,0.55,47.88 +29978,Turkey,2021,COVID-19,Bacterial,16.28,5.33,7.7,0-18,Male,814320,54.91,3.71,3.05,Medication,23519.0,No,67.09,2181.0,9.96,20052.0,0.54,24.9 +29979,Brazil,2003,Influenza,Respiratory,4.02,13.26,3.87,0-18,Female,364261,75.36,0.59,2.76,Vaccination,49970.0,No,90.54,3093.0,5.09,68597.0,0.71,78.9 +29984,Japan,2020,Zika,Metabolic,6.14,8.7,5.27,19-35,Other,836521,51.58,2.65,2.32,Therapy,40635.0,No,53.92,718.0,0.57,74493.0,0.52,82.15 +29989,Argentina,2013,Rabies,Viral,10.63,7.19,3.97,19-35,Other,599708,72.43,4.72,6.78,Therapy,37898.0,No,50.1,3008.0,7.8,86198.0,0.74,29.64 +29990,Australia,2019,Cholera,Metabolic,2.43,13.74,0.52,61+,Male,109945,84.8,3.97,8.41,Medication,11152.0,Yes,57.66,3362.0,9.33,52335.0,0.67,53.33 +29992,UK,2024,Asthma,Chronic,18.72,1.22,7.77,19-35,Female,915193,77.77,1.75,5.55,Medication,22496.0,Yes,56.41,2577.0,0.2,32179.0,0.52,69.13 +29993,UK,2001,Zika,Cardiovascular,14.31,9.63,8.24,0-18,Male,995646,91.27,2.17,2.54,Vaccination,22999.0,No,89.76,1830.0,0.5,1056.0,0.53,66.58 +29997,Saudi Arabia,2006,Influenza,Infectious,4.07,11.38,4.11,61+,Female,549909,70.33,2.06,7.23,Surgery,36795.0,No,68.71,3057.0,1.35,7357.0,0.41,24.54 +30008,Brazil,2012,Zika,Infectious,17.38,6.45,8.0,36-60,Male,295475,87.61,3.98,1.64,Medication,19736.0,No,59.17,4053.0,6.63,68486.0,0.54,22.7 +30019,Indonesia,2019,Influenza,Infectious,10.44,1.63,0.42,36-60,Female,511006,60.27,4.63,9.88,Medication,4157.0,Yes,72.91,4025.0,7.04,30259.0,0.85,44.29 +30032,Brazil,2004,Tuberculosis,Cardiovascular,1.97,13.32,4.38,0-18,Male,462645,93.75,2.73,2.95,Medication,34059.0,No,58.41,1954.0,5.82,41569.0,0.49,64.86 +30035,Saudi Arabia,2016,Diabetes,Metabolic,8.25,0.84,6.35,61+,Male,407979,51.54,0.97,0.64,Surgery,14134.0,Yes,93.71,3643.0,3.9,1505.0,0.63,59.53 +30039,South Africa,2010,Rabies,Metabolic,2.34,2.07,6.67,61+,Female,682494,95.47,1.51,1.15,Therapy,37909.0,No,86.99,1472.0,5.15,43913.0,0.47,89.46 +30047,USA,2020,Cholera,Metabolic,19.84,13.34,7.22,19-35,Other,874286,57.9,4.77,8.74,Medication,28095.0,Yes,77.9,3450.0,9.23,75083.0,0.44,79.57 +30049,Nigeria,2020,Parkinson's Disease,Chronic,18.92,14.23,6.95,0-18,Other,607684,78.21,1.75,7.81,Medication,30091.0,No,80.77,4918.0,8.29,91987.0,0.48,64.81 +30060,South Africa,2002,Diabetes,Metabolic,4.47,5.53,2.38,61+,Female,123185,84.26,4.73,9.18,Medication,3600.0,Yes,58.65,291.0,3.01,19856.0,0.6,30.77 +30067,South Korea,2020,HIV/AIDS,Neurological,1.59,4.66,4.62,19-35,Male,945028,84.82,4.91,4.32,Therapy,35695.0,Yes,89.7,4154.0,4.34,22093.0,0.79,46.79 +30071,USA,2017,Parkinson's Disease,Metabolic,0.49,9.15,6.3,0-18,Female,858750,88.71,3.84,4.23,Medication,20663.0,No,62.35,2531.0,4.76,33374.0,0.44,36.35 +30073,Nigeria,2007,Tuberculosis,Autoimmune,0.39,13.09,6.26,0-18,Other,538792,91.83,2.34,9.95,Vaccination,35352.0,Yes,81.79,4012.0,4.65,97427.0,0.58,61.33 +30074,China,2001,Influenza,Respiratory,18.9,11.84,7.53,36-60,Female,572704,78.7,3.6,3.43,Vaccination,41376.0,Yes,75.17,2967.0,6.66,604.0,0.66,75.94 +30085,Saudi Arabia,2019,Alzheimer's Disease,Parasitic,19.75,2.49,5.49,36-60,Male,962781,90.84,4.23,3.36,Therapy,48927.0,No,76.51,1045.0,5.23,77227.0,0.89,79.69 +30086,South Korea,2007,COVID-19,Genetic,11.1,9.01,2.97,36-60,Female,27082,68.42,1.01,8.41,Therapy,48868.0,No,94.73,2942.0,1.41,23957.0,0.89,89.2 +30089,Germany,2019,Rabies,Metabolic,0.68,2.15,9.55,0-18,Male,233296,90.66,3.14,9.81,Therapy,41129.0,No,69.73,4415.0,7.49,38814.0,0.57,84.27 +30095,Canada,2019,Hepatitis,Genetic,6.27,13.9,4.75,36-60,Female,105854,75.37,2.89,2.18,Therapy,35100.0,No,82.61,1612.0,2.5,72062.0,0.56,86.58 +30104,Russia,2002,Measles,Metabolic,19.51,2.12,2.4,36-60,Male,198427,58.05,3.64,1.21,Surgery,14178.0,No,79.68,145.0,9.51,31255.0,0.71,89.48 +30105,Brazil,2000,Asthma,Cardiovascular,8.3,13.92,9.93,0-18,Other,51735,64.23,0.78,6.4,Vaccination,15360.0,No,66.97,2620.0,4.83,7207.0,0.85,49.06 +30106,India,2022,HIV/AIDS,Metabolic,7.77,1.13,6.32,36-60,Male,330699,51.3,3.15,1.13,Surgery,41707.0,No,66.94,4019.0,0.47,32138.0,0.89,74.04 +30108,Russia,2017,Cancer,Respiratory,11.36,0.64,7.72,19-35,Male,951734,56.01,4.13,8.04,Surgery,17057.0,Yes,86.22,2182.0,2.41,68305.0,0.62,67.14 +30115,Japan,2011,Tuberculosis,Bacterial,18.56,14.69,4.53,19-35,Other,446888,95.98,1.45,7.22,Vaccination,33186.0,Yes,93.17,2875.0,0.87,31219.0,0.87,43.6 +30117,Italy,2021,Parkinson's Disease,Autoimmune,15.72,1.08,5.5,61+,Male,557590,76.8,3.76,1.21,Surgery,26951.0,Yes,67.28,1105.0,0.03,24504.0,0.48,44.05 +30123,Indonesia,2007,Asthma,Metabolic,12.88,13.54,7.24,0-18,Other,303625,74.15,3.06,5.28,Vaccination,37546.0,Yes,77.8,1159.0,5.28,57324.0,0.61,47.13 +30124,USA,2000,Hypertension,Chronic,11.82,13.7,6.84,36-60,Other,561232,64.61,3.95,1.56,Medication,8990.0,Yes,92.13,881.0,8.2,43104.0,0.75,33.32 +30125,Japan,2007,Alzheimer's Disease,Metabolic,9.54,9.82,5.57,36-60,Female,799493,78.88,3.26,0.61,Vaccination,3399.0,Yes,76.03,3053.0,4.95,10819.0,0.75,66.02 +30130,China,2015,Leprosy,Respiratory,8.67,11.51,8.93,36-60,Male,113067,75.24,0.5,4.09,Therapy,7714.0,Yes,97.52,2463.0,7.19,98371.0,0.48,45.07 +30131,USA,2017,Measles,Neurological,5.77,1.52,1.13,0-18,Male,872613,92.85,3.25,8.0,Therapy,884.0,Yes,64.53,4619.0,7.03,62471.0,0.63,61.73 +30132,Turkey,2024,Diabetes,Cardiovascular,6.96,8.34,7.94,0-18,Other,31065,78.64,4.57,3.56,Surgery,24222.0,No,70.43,330.0,8.66,48412.0,0.63,25.85 +30134,South Africa,2013,Leprosy,Viral,15.07,5.87,3.38,36-60,Female,797907,97.29,0.87,8.49,Therapy,30105.0,No,89.93,565.0,9.97,82288.0,0.53,58.62 +30139,Canada,2002,Polio,Genetic,16.62,14.18,9.33,36-60,Male,974587,69.71,1.98,2.92,Therapy,33381.0,No,62.43,4464.0,6.24,29639.0,0.56,76.27 +30148,India,2012,Asthma,Cardiovascular,18.57,5.99,0.83,61+,Other,749495,84.69,2.99,7.35,Medication,21808.0,Yes,85.19,1969.0,9.05,98261.0,0.78,40.83 +30150,Canada,2003,Dengue,Neurological,16.37,9.44,2.48,19-35,Male,973768,82.54,4.89,2.06,Vaccination,32480.0,No,66.47,83.0,0.05,15017.0,0.72,62.66 +30155,Russia,2009,Measles,Genetic,3.6,9.02,0.51,19-35,Female,86777,83.17,1.84,9.35,Medication,1147.0,Yes,60.33,1108.0,5.43,77460.0,0.64,37.1 +30159,Russia,2008,Diabetes,Metabolic,15.15,4.45,3.24,61+,Male,554231,63.44,1.36,4.11,Surgery,39161.0,No,66.32,3980.0,1.19,45721.0,0.52,22.97 +30161,Brazil,2022,Polio,Bacterial,8.15,3.96,5.37,0-18,Female,110671,72.06,1.11,8.52,Vaccination,20752.0,Yes,65.57,4515.0,8.6,52705.0,0.6,88.39 +30162,UK,2018,Tuberculosis,Parasitic,9.89,10.87,2.51,36-60,Female,629434,53.06,1.18,2.44,Therapy,30526.0,No,84.06,617.0,3.91,15764.0,0.67,28.47 +30164,France,2011,Hepatitis,Autoimmune,11.97,7.82,4.31,61+,Other,240626,61.64,3.06,9.09,Vaccination,35443.0,No,61.93,3076.0,5.43,87377.0,0.63,79.08 +30179,China,2022,COVID-19,Infectious,14.34,13.76,9.59,36-60,Female,136512,83.37,0.96,9.08,Surgery,8319.0,Yes,52.58,3979.0,3.63,53509.0,0.75,56.32 +30191,South Korea,2013,Cholera,Autoimmune,18.98,4.39,0.57,0-18,Male,514332,56.76,1.22,7.24,Surgery,20476.0,Yes,72.36,891.0,3.66,18222.0,0.72,61.32 +30202,China,2020,Zika,Infectious,1.92,8.76,3.29,0-18,Male,207750,63.96,0.5,0.51,Therapy,15694.0,Yes,65.96,2575.0,2.78,91068.0,0.4,78.84 +30205,Indonesia,2006,Hepatitis,Cardiovascular,14.74,0.85,5.09,0-18,Female,44322,56.34,1.86,3.96,Surgery,17339.0,No,86.65,52.0,4.48,42876.0,0.5,86.53 +30211,Indonesia,2024,Cancer,Parasitic,17.09,6.6,9.47,61+,Other,917844,62.78,3.44,0.67,Medication,48900.0,Yes,69.89,1026.0,5.64,54735.0,0.61,32.37 +30215,India,2022,Ebola,Viral,14.58,10.05,6.48,61+,Other,48136,65.9,2.65,9.22,Medication,16167.0,No,53.52,2663.0,6.07,23343.0,0.82,78.61 +30220,Canada,2022,Polio,Respiratory,9.17,6.15,6.76,19-35,Other,858533,99.95,2.87,2.06,Therapy,28524.0,No,72.9,3377.0,9.37,30861.0,0.85,83.84 +30222,Indonesia,2022,Alzheimer's Disease,Viral,19.41,6.96,6.59,36-60,Male,617646,65.11,4.36,0.91,Therapy,36386.0,No,80.18,2265.0,2.96,52535.0,0.69,82.76 +30224,Russia,2014,Asthma,Metabolic,8.59,13.46,5.8,61+,Female,636802,73.71,3.86,3.44,Surgery,25214.0,Yes,96.93,821.0,0.23,66589.0,0.45,80.53 +30236,China,2012,Asthma,Genetic,8.31,1.46,8.65,61+,Female,844031,80.81,3.01,9.5,Medication,1910.0,Yes,67.18,233.0,3.53,41611.0,0.43,86.41 +30237,Argentina,2021,Influenza,Infectious,16.94,7.71,3.09,19-35,Other,100214,95.9,2.47,1.91,Surgery,41210.0,No,65.78,1337.0,4.52,67499.0,0.72,35.65 +30242,USA,2011,Tuberculosis,Chronic,14.82,4.04,9.31,19-35,Other,854553,62.44,1.52,4.91,Medication,37658.0,Yes,52.72,1559.0,9.41,76682.0,0.43,52.91 +30245,Mexico,2011,Diabetes,Chronic,19.83,2.62,6.91,36-60,Female,239408,60.66,3.52,7.18,Surgery,36753.0,Yes,85.81,1920.0,9.45,90426.0,0.44,56.4 +30259,India,2010,Influenza,Respiratory,7.82,4.26,6.6,36-60,Male,475110,63.79,2.75,9.45,Therapy,8287.0,No,83.09,103.0,2.16,80542.0,0.47,36.77 +30264,France,2015,HIV/AIDS,Viral,6.47,11.95,7.97,61+,Other,53404,73.43,3.01,8.97,Therapy,16748.0,Yes,67.28,3055.0,2.93,26390.0,0.75,77.77 +30278,Russia,2016,Hypertension,Chronic,1.5,13.72,4.55,0-18,Male,421725,74.89,3.84,2.64,Vaccination,17549.0,No,96.39,995.0,5.61,35181.0,0.71,52.93 +30282,Argentina,2007,Tuberculosis,Metabolic,0.79,2.29,3.4,0-18,Female,728188,87.55,2.37,4.09,Medication,14044.0,Yes,70.51,2906.0,4.64,89912.0,0.43,28.96 +30293,Turkey,2013,Zika,Parasitic,6.29,5.91,5.23,0-18,Female,163994,58.76,3.03,8.15,Surgery,45524.0,Yes,63.58,3930.0,0.86,7454.0,0.81,28.14 +30308,France,2019,Hypertension,Metabolic,11.52,2.62,4.22,61+,Male,557212,77.72,2.41,1.52,Therapy,15528.0,No,83.15,4464.0,7.96,44883.0,0.42,88.21 +30314,Nigeria,2012,HIV/AIDS,Cardiovascular,5.78,6.27,4.64,36-60,Other,309384,53.9,0.59,5.23,Surgery,11255.0,No,93.19,4891.0,2.48,78205.0,0.84,36.08 +30315,Japan,2013,Cholera,Bacterial,11.04,1.91,3.26,36-60,Other,28996,81.48,4.4,1.93,Therapy,9465.0,No,93.9,474.0,9.07,50105.0,0.61,21.62 +30316,Argentina,2009,COVID-19,Cardiovascular,4.49,1.88,9.18,36-60,Other,1186,78.37,3.16,8.85,Therapy,21676.0,Yes,95.3,3840.0,6.17,39265.0,0.86,43.04 +30319,Japan,2014,Tuberculosis,Viral,19.6,3.97,9.48,61+,Male,202535,97.17,4.63,3.28,Therapy,3031.0,No,50.68,855.0,4.31,44730.0,0.48,34.7 +30328,Australia,2024,Rabies,Cardiovascular,2.84,11.32,6.01,36-60,Female,881598,87.05,4.99,5.97,Vaccination,24076.0,No,54.01,3222.0,3.5,11858.0,0.45,58.38 +30335,Mexico,2003,Cancer,Respiratory,1.0,4.51,8.3,36-60,Female,555315,71.43,2.17,5.91,Vaccination,23558.0,No,74.94,1076.0,2.27,79926.0,0.88,65.64 +30338,Australia,2002,Diabetes,Parasitic,17.33,11.71,7.65,36-60,Male,884646,62.92,3.44,1.45,Surgery,3717.0,Yes,83.01,3561.0,3.85,24674.0,0.46,21.59 +30348,India,2021,Hypertension,Chronic,6.73,9.34,7.8,0-18,Female,23425,88.4,0.7,5.91,Medication,32330.0,Yes,77.69,2667.0,8.53,92235.0,0.65,64.64 +30352,Canada,2021,Malaria,Parasitic,12.92,7.68,3.16,19-35,Male,151552,50.25,4.79,3.12,Medication,20091.0,Yes,80.56,1425.0,5.86,75650.0,0.68,85.37 +30354,Nigeria,2023,HIV/AIDS,Autoimmune,7.65,14.07,6.37,0-18,Male,539400,87.05,1.76,7.29,Therapy,29722.0,Yes,70.1,1898.0,3.4,20730.0,0.76,69.1 +30356,Indonesia,2004,Cholera,Chronic,14.96,7.35,4.98,0-18,Male,331969,60.59,4.98,1.09,Medication,3395.0,No,54.4,362.0,6.61,62477.0,0.48,64.84 +30365,Mexico,2010,Malaria,Viral,3.15,10.93,4.05,61+,Female,66451,57.6,3.55,7.67,Medication,29675.0,No,60.62,2621.0,1.49,51930.0,0.85,66.1 +30372,Nigeria,2001,Cholera,Parasitic,2.04,10.31,7.01,19-35,Other,906598,63.62,3.53,1.24,Surgery,42724.0,Yes,71.19,1850.0,1.65,63943.0,0.41,25.02 +30374,Indonesia,2019,Diabetes,Infectious,4.39,2.66,7.74,36-60,Female,600948,73.3,2.2,6.88,Surgery,21436.0,Yes,53.38,4650.0,7.75,12432.0,0.89,33.5 +30376,Japan,2001,COVID-19,Infectious,12.85,4.21,3.54,36-60,Other,894076,73.92,4.04,7.66,Vaccination,2203.0,No,71.98,2559.0,9.51,11506.0,0.65,72.62 +30381,Mexico,2003,Leprosy,Genetic,12.09,12.36,5.8,0-18,Female,886693,56.14,3.21,4.45,Vaccination,5629.0,Yes,74.89,3306.0,3.37,35448.0,0.71,51.28 +30385,Italy,2012,Rabies,Respiratory,16.78,5.32,4.86,36-60,Female,217738,60.58,1.45,9.36,Vaccination,42455.0,Yes,78.34,73.0,9.65,34172.0,0.5,88.79 +30388,Italy,2019,Malaria,Cardiovascular,1.69,9.71,1.33,36-60,Other,860638,62.5,2.14,4.93,Therapy,42603.0,No,89.89,155.0,8.0,61007.0,0.89,59.5 +30392,Russia,2000,Rabies,Infectious,0.94,12.03,2.81,0-18,Other,847625,75.53,1.99,4.91,Surgery,1321.0,No,93.59,1572.0,0.75,81465.0,0.84,36.05 +30393,Canada,2024,Leprosy,Respiratory,10.79,12.72,1.64,61+,Female,308283,64.21,0.62,7.36,Medication,34904.0,No,79.87,627.0,2.51,68352.0,0.81,35.89 +30394,Canada,2018,HIV/AIDS,Bacterial,6.57,7.38,9.34,19-35,Other,78728,56.93,3.19,3.08,Medication,22882.0,Yes,64.33,199.0,9.2,20672.0,0.51,72.52 +30406,Japan,2023,Dengue,Viral,5.17,12.61,0.47,36-60,Male,457555,91.9,4.74,7.33,Vaccination,24231.0,Yes,74.53,4627.0,7.56,90618.0,0.69,33.34 +30420,Indonesia,2020,Tuberculosis,Autoimmune,2.69,2.63,8.51,36-60,Female,898785,69.6,2.51,3.14,Surgery,4761.0,Yes,81.37,1739.0,9.39,52261.0,0.67,48.04 +30421,India,2018,Hypertension,Autoimmune,13.42,3.25,7.64,0-18,Other,53847,61.16,4.9,7.41,Medication,4906.0,Yes,51.09,4249.0,8.09,87119.0,0.57,45.56 +30422,USA,2021,Hepatitis,Infectious,15.21,0.26,9.88,36-60,Female,278404,67.11,2.1,6.2,Vaccination,44683.0,No,93.15,2864.0,8.96,58588.0,0.4,86.0 +30423,Russia,2015,Cancer,Parasitic,0.47,10.96,4.6,36-60,Male,45926,84.44,4.32,6.45,Surgery,26079.0,Yes,92.55,844.0,8.63,18543.0,0.48,28.04 +30429,Argentina,2010,Polio,Parasitic,4.16,7.78,7.38,36-60,Female,561161,56.52,2.92,5.55,Surgery,20771.0,No,85.46,3762.0,0.17,49183.0,0.53,37.37 +30438,Indonesia,2012,Tuberculosis,Respiratory,5.3,10.7,6.52,61+,Female,330024,98.54,0.7,8.9,Therapy,22720.0,Yes,84.13,1002.0,0.16,51837.0,0.41,68.72 +30444,Germany,2019,Asthma,Bacterial,2.2,5.6,9.94,0-18,Female,959910,90.72,3.53,6.25,Vaccination,42412.0,Yes,71.88,4231.0,1.79,66603.0,0.83,67.69 +30447,South Africa,2013,Cholera,Metabolic,15.32,6.82,3.8,0-18,Other,121757,53.65,1.25,9.9,Therapy,20407.0,Yes,66.08,3342.0,9.24,35543.0,0.86,40.19 +30452,Germany,2023,Parkinson's Disease,Respiratory,9.94,9.96,8.48,61+,Other,767892,65.21,0.66,3.5,Vaccination,39095.0,Yes,94.34,563.0,5.98,86102.0,0.72,29.51 +30455,India,2020,Cholera,Respiratory,10.7,12.45,5.53,61+,Female,734492,88.1,1.51,4.32,Vaccination,15480.0,Yes,51.47,3089.0,5.79,41760.0,0.68,79.86 +30458,Saudi Arabia,2011,Tuberculosis,Viral,8.46,9.83,2.39,61+,Male,570115,76.27,2.64,1.61,Medication,28700.0,No,94.07,4321.0,2.35,20637.0,0.63,27.25 +30461,China,2005,COVID-19,Metabolic,18.03,10.6,1.26,61+,Other,717235,76.58,2.46,2.39,Surgery,41004.0,Yes,72.55,2925.0,3.06,59431.0,0.85,72.2 +30464,Russia,2004,Cholera,Respiratory,13.82,13.45,7.65,36-60,Female,854830,50.25,4.15,9.01,Surgery,948.0,Yes,51.36,1043.0,4.53,21697.0,0.78,59.99 +30465,Japan,2004,Cancer,Chronic,10.73,10.32,0.78,0-18,Female,282114,58.01,1.38,8.19,Surgery,37370.0,Yes,52.07,4883.0,8.03,27306.0,0.65,40.84 +30468,Germany,2009,Polio,Chronic,3.5,14.5,0.83,19-35,Male,395571,93.53,4.16,1.32,Vaccination,40052.0,Yes,50.09,2677.0,1.46,19331.0,0.43,25.17 +30471,Canada,2000,Ebola,Infectious,7.8,5.61,7.8,36-60,Other,654540,77.61,2.99,4.75,Vaccination,7171.0,No,53.3,4266.0,0.58,38500.0,0.6,38.94 +30474,Saudi Arabia,2023,Ebola,Bacterial,7.6,13.52,3.71,0-18,Male,507386,55.12,2.01,7.44,Medication,16120.0,No,57.02,1893.0,6.46,63812.0,0.62,36.43 +30487,Germany,2003,Asthma,Genetic,3.1,2.26,5.65,0-18,Male,572283,65.42,3.05,5.2,Surgery,22966.0,Yes,98.77,3129.0,9.02,92838.0,0.55,38.56 +30490,China,2014,Cholera,Viral,2.86,10.22,1.69,36-60,Male,27849,61.56,4.53,3.41,Vaccination,36554.0,No,70.1,3455.0,6.53,64650.0,0.81,50.28 +30491,Brazil,2004,Hepatitis,Viral,13.03,10.98,4.42,19-35,Other,31446,63.75,0.73,6.58,Vaccination,38089.0,Yes,50.96,1905.0,6.7,22381.0,0.8,65.78 +30499,Indonesia,2017,Measles,Bacterial,13.71,2.35,0.2,61+,Other,736693,92.83,3.99,7.18,Vaccination,7369.0,Yes,96.03,879.0,2.53,23848.0,0.82,32.16 +30504,Canada,2005,Rabies,Genetic,1.26,0.14,5.8,61+,Female,196302,65.4,2.1,6.5,Vaccination,35770.0,No,72.95,3151.0,0.68,69700.0,0.84,59.24 +30507,Turkey,2004,Alzheimer's Disease,Chronic,1.46,3.74,5.16,61+,Male,95292,63.05,2.69,1.13,Medication,16519.0,Yes,65.14,2187.0,0.22,28043.0,0.69,45.76 +30508,France,2017,Diabetes,Metabolic,11.82,4.89,9.36,19-35,Female,937403,98.53,3.69,0.53,Surgery,31332.0,No,95.99,4398.0,5.1,19689.0,0.74,52.8 +30515,Turkey,2006,Malaria,Neurological,17.05,6.81,5.97,36-60,Male,688108,63.6,0.52,2.29,Surgery,47006.0,No,96.41,3574.0,7.44,16848.0,0.71,39.8 +30519,Japan,2010,Malaria,Genetic,9.09,11.86,3.81,19-35,Other,35361,86.99,3.5,3.53,Therapy,45643.0,Yes,72.3,4914.0,2.12,37815.0,0.6,32.83 +30523,Canada,2020,COVID-19,Cardiovascular,3.73,14.28,7.56,19-35,Other,382791,61.66,1.54,2.43,Vaccination,42652.0,Yes,78.51,4599.0,0.36,63675.0,0.41,32.1 +30536,Canada,2008,Ebola,Viral,0.35,9.44,5.35,61+,Female,361563,89.69,0.54,6.96,Medication,16557.0,Yes,87.25,166.0,8.53,31861.0,0.73,39.94 +30541,Germany,2003,Leprosy,Genetic,13.96,0.26,7.07,36-60,Other,456682,83.62,2.17,7.44,Medication,1230.0,No,61.52,1144.0,5.04,8328.0,0.8,75.68 +30543,Indonesia,2021,HIV/AIDS,Respiratory,11.4,10.91,5.85,0-18,Male,835750,66.08,2.4,9.49,Medication,1927.0,No,88.62,1116.0,5.67,53858.0,0.64,85.95 +30546,Mexico,2000,Cholera,Respiratory,12.34,12.18,3.54,19-35,Other,25823,80.72,4.7,8.59,Medication,7136.0,Yes,79.2,3037.0,3.83,43736.0,0.67,34.33 +30547,India,2009,Polio,Respiratory,18.33,14.05,0.29,61+,Female,982706,69.85,1.47,3.95,Medication,10948.0,Yes,83.32,883.0,4.67,63332.0,0.65,68.59 +30548,Turkey,2019,Zika,Metabolic,9.06,8.11,6.8,0-18,Female,811074,58.65,3.75,9.32,Therapy,49781.0,No,80.84,4271.0,5.02,51181.0,0.77,52.76 +30550,Japan,2002,Asthma,Chronic,12.56,4.5,2.17,61+,Other,338304,80.91,2.51,4.91,Medication,32417.0,No,62.12,3120.0,6.04,60213.0,0.52,28.77 +30553,South Africa,2003,COVID-19,Bacterial,12.13,5.14,9.11,36-60,Male,458312,52.62,4.49,0.72,Vaccination,8193.0,Yes,72.25,4384.0,1.79,65989.0,0.62,51.14 +30559,India,2012,Leprosy,Bacterial,13.78,0.41,1.13,61+,Other,834196,56.78,2.93,8.78,Medication,2289.0,No,96.87,991.0,0.91,83611.0,0.6,22.5 +30562,Mexico,2001,Polio,Bacterial,17.1,8.25,7.11,0-18,Male,562871,96.59,1.0,3.27,Therapy,44694.0,Yes,57.36,4809.0,2.56,52586.0,0.88,61.7 +30563,Japan,2005,Influenza,Neurological,6.32,3.14,5.04,36-60,Other,879010,80.78,2.87,1.15,Therapy,42320.0,Yes,77.79,1204.0,6.85,53527.0,0.82,63.74 +30564,Brazil,2011,Rabies,Chronic,0.52,0.11,9.04,36-60,Other,19978,90.58,4.79,9.42,Therapy,4753.0,Yes,96.83,3812.0,0.07,41826.0,0.66,83.97 +30566,Turkey,2000,Tuberculosis,Neurological,3.09,3.84,1.57,61+,Other,906726,51.7,3.68,7.12,Vaccination,17743.0,Yes,86.08,1437.0,1.36,10712.0,0.47,55.29 +30571,Japan,2005,Ebola,Neurological,10.77,10.58,4.45,61+,Female,549967,75.98,3.69,5.55,Medication,25645.0,Yes,72.44,1702.0,5.65,85611.0,0.79,88.25 +30573,China,2004,Influenza,Respiratory,17.43,10.94,2.85,0-18,Other,142252,68.59,3.66,1.59,Therapy,18325.0,No,80.19,1336.0,9.96,742.0,0.88,24.53 +30575,Mexico,2000,Cancer,Chronic,19.09,13.96,6.29,19-35,Male,179779,81.32,2.01,9.09,Therapy,39871.0,Yes,90.14,4355.0,7.89,99181.0,0.73,80.14 +30584,Saudi Arabia,2006,Diabetes,Chronic,18.16,11.95,4.22,61+,Female,270926,76.29,2.68,6.33,Therapy,1425.0,No,56.78,1614.0,2.67,99426.0,0.83,23.05 +30587,South Korea,2013,Diabetes,Bacterial,18.71,13.92,1.6,36-60,Other,71747,76.55,4.49,5.52,Surgery,36932.0,Yes,72.97,4696.0,5.39,19061.0,0.44,89.65 +30596,South Africa,2014,Tuberculosis,Infectious,19.78,10.86,6.64,0-18,Other,348958,74.03,2.05,4.21,Medication,16155.0,Yes,93.37,652.0,8.72,88075.0,0.81,57.4 +30602,South Korea,2017,Cancer,Genetic,4.23,13.44,1.62,36-60,Male,661123,70.52,4.79,8.16,Vaccination,28050.0,No,74.16,3342.0,6.43,57397.0,0.86,36.19 +30603,Germany,2011,Zika,Metabolic,6.04,10.9,8.14,0-18,Other,75398,95.85,2.2,5.81,Vaccination,8056.0,Yes,73.89,339.0,0.74,16310.0,0.52,33.73 +30614,Russia,2008,Dengue,Neurological,10.47,6.19,8.65,0-18,Female,554219,88.28,4.86,9.54,Vaccination,5626.0,No,67.28,1333.0,5.87,28875.0,0.9,82.59 +30622,South Africa,2019,Tuberculosis,Neurological,11.62,7.9,6.57,0-18,Male,686695,61.68,1.24,6.21,Vaccination,28144.0,No,91.55,109.0,1.08,90709.0,0.81,73.37 +30627,France,2017,Dengue,Neurological,19.28,7.36,4.16,0-18,Female,471226,99.96,4.83,3.33,Surgery,17754.0,No,87.0,2705.0,1.76,38140.0,0.9,75.8 +30628,Japan,2015,Rabies,Metabolic,9.13,0.31,1.14,36-60,Female,301321,68.86,1.58,0.73,Vaccination,34877.0,No,84.97,3500.0,6.85,77267.0,0.76,21.16 +30632,Saudi Arabia,2002,Ebola,Bacterial,19.19,14.91,5.91,0-18,Other,403645,58.66,1.19,2.22,Therapy,26447.0,No,59.79,874.0,3.95,37504.0,0.63,27.73 +30634,France,2009,Influenza,Respiratory,3.4,11.05,5.0,36-60,Male,56098,95.12,3.67,0.65,Vaccination,37740.0,Yes,94.49,1146.0,3.95,89871.0,0.48,46.35 +30639,Mexico,2010,Malaria,Chronic,3.91,14.64,5.02,36-60,Female,528084,94.3,4.81,7.87,Vaccination,35621.0,Yes,81.98,1274.0,8.61,87256.0,0.7,52.18 +30650,Turkey,2006,Asthma,Bacterial,6.52,4.5,7.65,0-18,Female,138686,77.25,3.22,8.84,Vaccination,35397.0,No,81.8,426.0,0.19,78179.0,0.5,84.46 +30655,India,2002,Dengue,Bacterial,10.75,1.57,6.28,19-35,Male,778119,73.89,3.85,7.01,Vaccination,29043.0,Yes,64.21,2317.0,5.31,36800.0,0.75,44.94 +30664,Mexico,2001,Cancer,Metabolic,12.85,0.13,5.06,19-35,Male,587130,83.63,0.88,4.75,Surgery,12820.0,Yes,71.89,771.0,0.17,12379.0,0.87,62.44 +30669,Canada,2003,Ebola,Cardiovascular,6.95,4.62,5.7,19-35,Female,522796,54.48,4.12,0.93,Medication,9837.0,No,67.14,667.0,3.69,84499.0,0.49,69.41 +30670,South Korea,2019,Cancer,Infectious,6.54,13.01,4.87,0-18,Male,851302,97.85,4.01,8.5,Medication,49261.0,No,80.85,4162.0,6.12,83949.0,0.53,29.71 +30672,USA,2008,Rabies,Parasitic,18.32,5.54,7.84,0-18,Female,762801,96.57,4.65,4.63,Surgery,34584.0,No,93.7,216.0,1.12,98387.0,0.51,82.52 +30690,Japan,2023,Zika,Chronic,19.36,1.55,3.85,61+,Male,100644,71.6,1.55,4.02,Medication,18882.0,No,82.73,2643.0,6.43,61636.0,0.77,42.6 +30694,China,2017,Malaria,Respiratory,14.94,10.63,2.86,61+,Female,514516,98.26,4.01,9.83,Surgery,40650.0,Yes,90.36,1940.0,6.88,97793.0,0.85,49.77 +30695,South Korea,2000,Zika,Neurological,9.81,9.86,6.64,36-60,Female,944518,95.13,4.93,2.32,Vaccination,44541.0,No,76.01,3663.0,6.21,30615.0,0.58,42.87 +30700,UK,2020,Tuberculosis,Infectious,8.13,3.63,6.1,0-18,Other,612671,63.78,2.84,2.64,Vaccination,2519.0,Yes,55.35,1616.0,2.61,79845.0,0.51,62.1 +30705,Mexico,2007,Polio,Autoimmune,19.15,7.36,9.21,61+,Male,716840,70.48,4.46,8.76,Vaccination,40846.0,Yes,93.16,2862.0,8.22,13705.0,0.87,80.3 +30710,Mexico,2021,Leprosy,Autoimmune,11.09,0.72,5.64,19-35,Male,351099,57.7,3.65,3.85,Medication,16120.0,No,95.36,1751.0,0.98,40056.0,0.72,40.22 +30712,USA,2011,Rabies,Infectious,7.96,7.13,6.54,19-35,Male,528937,69.37,1.47,1.47,Surgery,48288.0,Yes,91.54,2872.0,0.26,85416.0,0.87,61.24 +30715,Argentina,2011,Polio,Parasitic,11.1,9.24,7.96,36-60,Other,48098,95.84,1.76,4.83,Therapy,16769.0,Yes,77.95,651.0,0.49,29567.0,0.74,60.31 +30717,Indonesia,2006,Hepatitis,Autoimmune,0.72,2.27,9.27,19-35,Female,630878,67.69,3.13,2.56,Vaccination,12934.0,No,88.47,4962.0,0.79,39975.0,0.68,61.17 +30724,Germany,2008,Asthma,Autoimmune,6.36,8.34,1.8,19-35,Female,850880,72.7,3.33,4.58,Vaccination,41094.0,Yes,73.67,3751.0,9.52,49047.0,0.61,61.65 +30728,Canada,2004,Rabies,Metabolic,0.54,4.56,3.01,36-60,Other,202119,61.06,1.58,1.07,Surgery,15305.0,No,80.62,73.0,8.74,34731.0,0.7,52.82 +30730,Saudi Arabia,2021,Cholera,Viral,7.65,13.58,0.47,0-18,Male,280745,72.55,3.15,3.58,Surgery,9994.0,Yes,51.7,4748.0,7.67,51216.0,0.6,88.04 +30736,Argentina,2022,Hepatitis,Neurological,8.86,12.51,1.64,61+,Male,450649,74.66,0.57,6.48,Vaccination,29970.0,Yes,84.77,3041.0,5.25,18333.0,0.77,71.52 +30749,Brazil,2017,HIV/AIDS,Cardiovascular,1.8,2.62,9.46,0-18,Other,733307,51.93,1.38,6.34,Therapy,3147.0,Yes,62.37,3324.0,3.89,85495.0,0.87,84.7 +30752,UK,2003,Measles,Neurological,5.0,13.74,9.6,19-35,Other,14548,77.14,4.7,7.22,Vaccination,42112.0,No,67.04,2549.0,9.81,12651.0,0.51,50.37 +30754,UK,2020,Rabies,Autoimmune,5.72,2.14,6.77,19-35,Male,879838,65.44,2.71,9.67,Vaccination,8960.0,Yes,50.63,2244.0,5.45,82094.0,0.53,59.96 +30757,Japan,2012,Rabies,Genetic,2.72,10.18,1.85,19-35,Female,880437,74.17,4.54,8.05,Medication,17882.0,Yes,64.67,2764.0,4.82,82490.0,0.81,59.95 +30759,Nigeria,2019,Tuberculosis,Cardiovascular,9.54,4.96,4.64,0-18,Female,300940,93.44,4.32,7.44,Medication,20481.0,Yes,52.08,4298.0,3.84,20852.0,0.57,40.81 +30762,Turkey,2023,Zika,Cardiovascular,6.43,0.88,6.32,36-60,Other,326040,94.5,1.06,9.33,Therapy,7440.0,No,78.09,1487.0,0.06,9525.0,0.45,29.25 +30764,Russia,2023,Malaria,Cardiovascular,13.09,7.68,5.6,61+,Female,260765,70.28,4.0,5.98,Therapy,1446.0,No,74.19,258.0,7.0,32766.0,0.57,67.66 +30778,Mexico,2017,Hepatitis,Bacterial,6.92,11.49,5.23,61+,Male,614403,94.24,4.13,5.47,Surgery,3821.0,No,90.36,438.0,1.9,64809.0,0.82,85.6 +30782,South Africa,2006,Diabetes,Viral,18.19,9.54,6.19,19-35,Other,5231,95.08,1.32,3.62,Vaccination,32235.0,No,55.73,3749.0,8.46,47083.0,0.87,61.58 +30784,Canada,2018,Influenza,Parasitic,10.6,7.5,4.58,36-60,Male,733744,80.49,3.21,7.29,Medication,2308.0,Yes,83.18,1634.0,4.97,38493.0,0.69,32.26 +30785,Brazil,2014,Dengue,Autoimmune,16.03,2.96,4.86,0-18,Other,672951,76.92,1.19,9.07,Medication,30424.0,No,79.24,2460.0,0.98,68114.0,0.71,52.47 +30786,China,2010,Influenza,Genetic,6.77,12.97,2.53,0-18,Other,390540,67.11,1.54,8.67,Medication,2035.0,Yes,82.7,4809.0,8.41,38590.0,0.54,62.57 +30787,Russia,2018,Zika,Respiratory,11.25,1.7,6.7,61+,Female,761141,59.04,1.91,3.33,Vaccination,42929.0,No,70.81,1260.0,8.35,13026.0,0.83,83.01 +30796,Indonesia,2005,Hypertension,Autoimmune,0.52,10.66,3.55,0-18,Other,994343,86.29,1.49,6.96,Medication,47124.0,Yes,93.06,1623.0,2.94,20954.0,0.77,77.52 +30797,Turkey,2015,Hepatitis,Viral,2.47,14.5,1.85,19-35,Male,239654,90.19,2.6,3.31,Medication,15459.0,Yes,74.3,1326.0,4.01,97110.0,0.72,42.48 +30802,Saudi Arabia,2012,Alzheimer's Disease,Respiratory,1.87,2.95,3.31,0-18,Male,896642,65.09,3.29,2.6,Surgery,17538.0,No,64.62,3073.0,6.15,55022.0,0.89,48.14 +30807,Canada,2014,Leprosy,Metabolic,3.13,11.47,2.41,36-60,Female,394466,85.24,1.23,7.57,Medication,28375.0,No,83.9,4437.0,9.8,57585.0,0.62,44.8 +30810,Mexico,2023,Ebola,Metabolic,11.47,3.5,8.93,19-35,Male,384005,56.08,1.68,0.57,Surgery,27646.0,Yes,73.55,4018.0,1.35,24528.0,0.76,75.35 +30811,Mexico,2018,Cholera,Viral,3.81,9.37,7.56,0-18,Female,937379,95.33,2.38,6.44,Surgery,26415.0,Yes,74.31,2390.0,6.74,68551.0,0.81,41.57 +30816,China,2001,Hypertension,Respiratory,13.75,5.01,0.34,19-35,Male,195596,73.92,4.64,1.76,Vaccination,33625.0,No,66.24,1486.0,9.65,16745.0,0.55,48.36 +30819,Italy,2015,Malaria,Parasitic,19.12,11.6,7.7,36-60,Female,893057,62.58,1.49,7.68,Medication,45384.0,No,85.75,4452.0,0.92,98555.0,0.64,27.89 +30821,Germany,2013,Hepatitis,Respiratory,3.47,1.47,5.98,0-18,Female,506890,59.65,1.02,9.83,Vaccination,7918.0,No,89.96,3272.0,6.63,86269.0,0.66,72.82 +30824,Australia,2014,Diabetes,Metabolic,1.26,3.8,8.37,0-18,Other,554822,92.56,0.53,3.81,Vaccination,45959.0,No,97.27,446.0,7.24,2744.0,0.82,49.75 +30826,UK,2001,Parkinson's Disease,Cardiovascular,16.73,4.7,0.55,36-60,Other,633646,57.9,1.0,9.12,Surgery,17843.0,Yes,57.06,251.0,1.5,65956.0,0.5,54.79 +30828,Argentina,2019,Dengue,Bacterial,10.26,0.52,8.78,36-60,Male,225908,65.25,2.17,8.83,Therapy,30544.0,Yes,94.24,3920.0,9.18,72683.0,0.81,74.08 +30831,India,2005,Parkinson's Disease,Parasitic,15.93,4.83,3.97,0-18,Male,322639,50.37,3.31,9.47,Surgery,6475.0,No,57.63,132.0,8.81,85922.0,0.56,79.6 +30843,Canada,2009,Rabies,Cardiovascular,0.59,2.49,8.39,19-35,Other,143879,59.06,2.59,4.34,Vaccination,8228.0,No,68.13,1930.0,0.36,62375.0,0.87,87.47 +30844,UK,2013,Cholera,Viral,9.17,1.6,5.25,0-18,Other,920816,80.23,3.49,4.4,Vaccination,28028.0,No,94.81,846.0,7.42,70078.0,0.82,44.53 +30845,Italy,2019,HIV/AIDS,Infectious,17.97,1.17,0.78,36-60,Female,859775,56.5,3.37,8.48,Medication,18773.0,Yes,51.69,2960.0,9.6,13586.0,0.83,26.53 +30848,Indonesia,2011,Cholera,Metabolic,4.77,8.8,0.83,0-18,Other,254178,52.76,3.62,8.34,Surgery,12284.0,Yes,87.27,2306.0,9.58,19293.0,0.67,64.3 +30858,South Africa,2024,Measles,Metabolic,13.83,12.09,6.37,61+,Male,972672,53.21,0.55,7.39,Therapy,22249.0,No,95.74,1174.0,8.67,76576.0,0.88,76.55 +30861,Turkey,2012,COVID-19,Autoimmune,4.66,4.93,9.2,0-18,Other,897080,63.04,4.97,1.59,Medication,20412.0,Yes,67.04,4280.0,9.14,72508.0,0.88,51.0 +30863,Germany,2022,Parkinson's Disease,Chronic,5.65,12.96,6.27,36-60,Other,301733,75.35,4.39,1.02,Vaccination,36828.0,Yes,63.6,3890.0,2.79,3078.0,0.7,73.06 +30866,Canada,2002,HIV/AIDS,Bacterial,10.05,12.71,3.26,61+,Female,562333,69.38,0.65,6.18,Therapy,28620.0,No,82.05,33.0,8.92,43066.0,0.78,43.79 +30869,Australia,2010,Polio,Respiratory,2.08,4.24,2.23,36-60,Male,562868,58.25,1.24,8.25,Medication,44269.0,Yes,50.8,2698.0,3.6,10713.0,0.56,88.73 +30883,South Africa,2017,Cholera,Metabolic,13.65,3.86,8.1,61+,Female,592239,69.66,3.82,1.23,Vaccination,27759.0,Yes,97.15,2504.0,1.49,10037.0,0.66,85.08 +30888,Mexico,2020,Diabetes,Genetic,11.05,13.44,3.83,36-60,Female,530163,51.06,2.12,1.59,Surgery,22861.0,Yes,97.08,4120.0,5.09,19409.0,0.53,78.11 +30900,Japan,2022,Influenza,Genetic,8.61,11.37,9.38,0-18,Male,135886,77.62,2.36,5.29,Surgery,32388.0,Yes,92.58,3918.0,8.82,93126.0,0.42,59.3 +30901,Nigeria,2017,Cholera,Neurological,17.7,4.27,2.5,36-60,Other,33677,93.71,3.06,7.62,Vaccination,48767.0,Yes,62.48,4152.0,9.28,45414.0,0.4,53.28 +30903,Australia,2012,Zika,Viral,19.3,6.72,5.93,19-35,Female,114846,59.73,1.34,2.6,Vaccination,44003.0,Yes,80.33,130.0,9.01,94278.0,0.66,67.36 +30907,UK,2002,Asthma,Parasitic,11.98,12.3,3.48,36-60,Female,720169,72.41,4.89,9.85,Surgery,33695.0,Yes,60.96,4274.0,0.29,90527.0,0.66,42.26 +30908,Saudi Arabia,2012,Parkinson's Disease,Neurological,10.1,8.56,9.75,0-18,Other,899889,88.39,4.66,6.74,Vaccination,39564.0,No,78.87,3404.0,3.08,9783.0,0.77,36.18 +30925,Germany,2014,Hypertension,Respiratory,15.0,6.8,6.52,61+,Male,492722,67.17,3.32,9.68,Medication,764.0,Yes,76.43,4992.0,9.16,88110.0,0.68,56.15 +30926,France,2001,COVID-19,Bacterial,4.91,8.85,5.65,36-60,Other,566903,77.15,3.96,4.26,Therapy,40550.0,No,90.45,2552.0,7.61,18941.0,0.76,78.73 +30932,Nigeria,2007,Cancer,Neurological,10.75,13.82,1.82,61+,Female,274691,62.44,4.55,6.39,Medication,21719.0,Yes,89.41,3421.0,7.83,16355.0,0.41,28.68 +30937,Turkey,2014,Malaria,Chronic,11.56,1.63,1.02,61+,Other,109207,69.73,0.95,9.12,Surgery,16333.0,No,76.92,1415.0,6.85,75574.0,0.6,25.33 +30940,Indonesia,2002,Rabies,Viral,7.88,13.85,2.3,19-35,Other,931980,69.77,0.56,5.17,Therapy,21633.0,No,55.86,3016.0,3.42,23706.0,0.47,25.55 +30944,Japan,2022,Malaria,Cardiovascular,0.56,8.48,5.35,19-35,Other,854510,74.23,3.53,5.62,Surgery,49075.0,Yes,74.9,4077.0,1.66,3221.0,0.41,64.78 +30947,Indonesia,2023,Leprosy,Parasitic,18.07,6.16,2.85,36-60,Other,534392,69.68,2.99,1.94,Medication,35837.0,Yes,67.17,2732.0,3.79,3935.0,0.66,40.84 +30948,Saudi Arabia,2021,Ebola,Respiratory,6.75,5.02,1.66,36-60,Male,206965,70.49,1.93,1.25,Medication,46740.0,Yes,85.51,2636.0,8.61,48714.0,0.72,79.55 +30953,France,2007,Rabies,Respiratory,13.93,6.74,6.41,0-18,Male,589252,80.97,1.01,1.75,Therapy,1134.0,No,51.6,4603.0,8.4,54187.0,0.73,43.67 +30954,USA,2002,Tuberculosis,Metabolic,12.78,14.35,1.08,0-18,Female,340189,55.18,3.42,5.6,Surgery,33889.0,No,82.18,4834.0,8.56,8581.0,0.56,80.34 +30956,UK,2012,Tuberculosis,Neurological,4.5,8.49,8.06,0-18,Other,335924,51.99,3.6,8.73,Surgery,9724.0,Yes,72.33,3290.0,2.57,4077.0,0.65,21.24 +30958,Nigeria,2007,HIV/AIDS,Metabolic,7.53,13.39,1.7,19-35,Female,1359,58.67,1.2,4.1,Therapy,4029.0,Yes,62.33,4522.0,2.92,20384.0,0.88,48.91 +30960,Saudi Arabia,2003,HIV/AIDS,Neurological,10.37,4.64,9.17,61+,Other,913352,55.22,0.83,4.07,Vaccination,27527.0,No,67.5,1772.0,8.16,19199.0,0.61,47.8 +30967,USA,2001,Diabetes,Parasitic,12.36,8.28,6.31,61+,Other,858155,97.4,1.1,4.68,Surgery,19227.0,No,62.86,1171.0,5.95,84535.0,0.41,58.36 +30968,South Korea,2015,Diabetes,Neurological,12.14,12.89,5.84,0-18,Other,542889,59.68,4.63,7.11,Vaccination,19290.0,No,69.61,3136.0,4.09,6736.0,0.83,70.54 +30973,Turkey,2017,Rabies,Autoimmune,14.7,12.38,7.55,0-18,Other,981659,98.36,4.54,8.47,Medication,17594.0,No,53.15,145.0,5.21,43979.0,0.42,60.33 +30984,USA,2014,Asthma,Cardiovascular,14.48,10.42,2.9,0-18,Female,907583,92.82,0.71,1.45,Surgery,10393.0,No,50.11,652.0,7.5,7465.0,0.65,86.3 +30986,USA,2008,Malaria,Parasitic,8.32,10.69,8.81,0-18,Female,587916,82.2,4.25,8.56,Vaccination,41733.0,Yes,85.95,3590.0,7.25,27698.0,0.7,43.62 +30987,South Korea,2008,Measles,Genetic,0.32,10.24,1.75,61+,Other,260195,94.97,2.67,6.84,Medication,47430.0,No,71.04,4009.0,7.37,81694.0,0.55,76.84 +30991,Turkey,2010,Hepatitis,Metabolic,12.11,8.35,2.03,36-60,Female,283023,59.25,4.53,4.67,Therapy,39080.0,Yes,56.55,1320.0,8.26,55185.0,0.56,47.96 +30998,Saudi Arabia,2004,Leprosy,Infectious,9.13,11.69,3.46,61+,Male,943795,71.15,4.54,3.12,Surgery,818.0,No,82.55,101.0,9.51,84255.0,0.64,57.88 +31000,Turkey,2010,Hepatitis,Viral,11.83,0.49,1.45,36-60,Other,798872,64.46,2.09,4.24,Medication,22273.0,No,54.25,3645.0,0.3,50046.0,0.71,37.19 +31003,Argentina,2004,Leprosy,Viral,7.45,11.39,4.95,0-18,Female,552184,84.06,0.5,6.14,Surgery,36260.0,No,84.41,1130.0,3.08,54875.0,0.56,21.51 +31009,Italy,2024,Alzheimer's Disease,Parasitic,0.47,14.34,9.24,61+,Other,639173,56.04,4.91,7.16,Vaccination,23831.0,Yes,76.71,61.0,2.63,42474.0,0.79,68.02 +31012,USA,2007,Measles,Parasitic,4.36,4.66,5.04,0-18,Male,106302,82.47,1.48,8.47,Medication,49512.0,Yes,95.28,2859.0,4.04,48133.0,0.63,78.93 +31013,Brazil,2000,Alzheimer's Disease,Cardiovascular,10.86,9.12,2.6,61+,Female,953322,90.67,3.94,5.88,Vaccination,13424.0,No,90.17,4364.0,7.89,50264.0,0.5,79.66 +31022,South Korea,2013,Alzheimer's Disease,Autoimmune,19.94,7.57,8.17,0-18,Female,523268,87.45,3.37,3.42,Vaccination,11592.0,Yes,84.94,1005.0,7.72,70194.0,0.45,51.48 +31026,Japan,2024,Parkinson's Disease,Infectious,15.36,1.09,7.52,36-60,Other,720347,82.18,1.58,5.55,Surgery,25467.0,Yes,71.48,2571.0,6.12,19972.0,0.61,83.14 +31043,South Korea,2001,Parkinson's Disease,Metabolic,16.25,7.83,8.92,0-18,Male,89952,55.28,2.82,1.75,Vaccination,41981.0,No,66.44,4081.0,0.03,94312.0,0.75,72.68 +31058,China,2020,HIV/AIDS,Neurological,16.4,13.73,0.9,0-18,Male,858703,99.86,1.08,9.14,Medication,21945.0,No,81.44,453.0,0.75,41506.0,0.53,53.7 +31065,USA,2007,COVID-19,Genetic,2.95,14.58,5.29,0-18,Male,828391,60.19,1.0,7.7,Surgery,29866.0,No,97.21,4373.0,9.72,87441.0,0.58,88.09 +31073,UK,2010,Malaria,Metabolic,10.41,12.83,9.63,19-35,Female,796400,84.77,2.84,8.75,Surgery,27128.0,Yes,83.9,2303.0,7.7,80221.0,0.81,40.87 +31085,South Korea,2019,HIV/AIDS,Metabolic,15.37,10.63,8.39,36-60,Male,337182,57.84,1.12,8.96,Surgery,37768.0,No,86.43,1250.0,8.02,53204.0,0.48,56.52 +31094,Italy,2010,Alzheimer's Disease,Cardiovascular,2.65,8.4,2.03,36-60,Male,806540,53.51,4.79,4.77,Medication,41338.0,Yes,55.31,2772.0,7.19,47666.0,0.61,23.0 +31098,China,2005,Measles,Neurological,2.91,0.44,8.36,61+,Female,234530,55.88,2.5,5.44,Medication,7471.0,No,67.4,4788.0,8.43,37464.0,0.5,68.54 +31110,Saudi Arabia,2024,Zika,Infectious,1.1,2.83,6.08,0-18,Male,753082,70.36,0.56,9.73,Medication,1925.0,Yes,60.9,4957.0,7.53,11987.0,0.8,53.05 +31114,South Korea,2022,Leprosy,Genetic,11.4,11.76,4.95,61+,Other,641058,71.88,1.44,5.47,Vaccination,31829.0,No,91.36,4431.0,4.7,30356.0,0.63,78.99 +31116,Indonesia,2000,Parkinson's Disease,Genetic,14.37,3.32,7.4,61+,Other,549977,50.12,2.93,4.72,Medication,13067.0,Yes,78.56,2454.0,6.06,66587.0,0.82,44.32 +31118,Canada,2022,Influenza,Parasitic,18.27,1.44,5.38,0-18,Female,244946,54.8,4.89,7.72,Vaccination,47515.0,Yes,66.91,4029.0,6.89,59929.0,0.52,29.83 +31120,South Africa,2017,Asthma,Genetic,17.49,12.6,0.11,19-35,Male,316902,85.41,1.98,5.06,Medication,10353.0,No,87.97,2040.0,2.01,31479.0,0.72,57.88 +31123,France,2001,Polio,Infectious,18.05,4.87,1.24,0-18,Female,942181,89.75,4.18,0.98,Surgery,32377.0,Yes,80.89,832.0,5.57,81301.0,0.81,72.81 +31130,South Africa,2004,Parkinson's Disease,Metabolic,2.66,5.24,0.15,61+,Other,262147,72.81,2.53,8.3,Medication,9292.0,Yes,57.93,547.0,3.23,81303.0,0.88,28.58 +31135,Canada,2023,Cholera,Chronic,19.99,9.93,4.96,19-35,Other,118132,69.06,1.89,2.25,Therapy,47458.0,Yes,55.36,3043.0,1.02,88429.0,0.43,26.42 +31147,Russia,2021,Zika,Cardiovascular,12.84,11.31,6.22,36-60,Male,359985,82.54,2.98,3.38,Surgery,26617.0,Yes,79.25,2579.0,2.06,92366.0,0.54,25.78 +31153,China,2011,Hypertension,Infectious,11.9,8.37,5.83,36-60,Male,123990,82.11,2.32,7.84,Therapy,16261.0,No,74.99,530.0,4.5,63038.0,0.71,48.96 +31164,Germany,2015,Rabies,Chronic,6.62,5.97,6.06,61+,Female,334743,99.96,1.07,1.03,Vaccination,20947.0,No,65.05,201.0,0.31,28530.0,0.61,60.98 +31175,South Korea,2002,Leprosy,Neurological,5.5,5.8,4.86,0-18,Female,724084,98.02,0.58,3.89,Surgery,39593.0,Yes,58.4,2558.0,0.01,87014.0,0.86,33.86 +31179,UK,2014,Zika,Genetic,18.28,0.13,4.99,61+,Male,919891,76.91,0.83,8.25,Vaccination,5339.0,No,83.65,257.0,3.08,2838.0,0.5,26.12 +31184,China,2013,Hepatitis,Infectious,7.79,10.94,1.69,0-18,Other,969699,72.91,0.74,9.84,Medication,33849.0,Yes,55.2,811.0,2.19,27738.0,0.53,87.34 +31188,Germany,2018,Polio,Genetic,17.53,7.49,6.9,61+,Male,380693,88.62,4.17,2.25,Vaccination,1312.0,Yes,70.82,3733.0,8.34,22975.0,0.48,57.8 +31197,Canada,2007,HIV/AIDS,Genetic,17.63,5.91,5.95,36-60,Female,54614,93.85,2.87,9.29,Vaccination,37893.0,Yes,65.24,4757.0,4.4,90491.0,0.75,72.93 +31208,Saudi Arabia,2019,Asthma,Neurological,14.63,6.08,4.85,0-18,Other,595360,60.24,4.78,0.89,Medication,37393.0,No,96.92,99.0,0.92,56111.0,0.88,78.57 +31213,Saudi Arabia,2024,Parkinson's Disease,Respiratory,7.33,14.9,4.16,61+,Male,691023,66.49,2.93,7.98,Medication,3192.0,No,95.15,1739.0,3.32,2590.0,0.69,22.63 +31218,South Africa,2004,Diabetes,Neurological,19.71,11.0,7.68,0-18,Other,832052,83.67,3.16,2.55,Surgery,38417.0,Yes,55.05,1489.0,2.07,61209.0,0.51,59.35 +31224,USA,2012,Zika,Viral,13.74,3.58,2.56,19-35,Male,388346,97.51,3.19,8.98,Therapy,42661.0,No,61.66,4527.0,6.59,74976.0,0.85,56.69 +31226,Brazil,2005,Diabetes,Metabolic,4.57,13.01,9.54,0-18,Male,574246,80.53,4.28,4.39,Therapy,22232.0,No,62.53,1113.0,3.45,73116.0,0.86,22.32 +31233,UK,2020,HIV/AIDS,Genetic,19.31,6.85,2.39,0-18,Male,481695,51.82,3.51,4.11,Vaccination,26965.0,No,55.67,1313.0,4.23,87492.0,0.58,56.94 +31257,Canada,2000,Influenza,Infectious,15.31,3.49,1.65,36-60,Male,495014,61.62,1.83,0.74,Vaccination,32931.0,No,91.34,1294.0,7.82,13785.0,0.58,44.48 +31261,USA,2014,Measles,Bacterial,9.8,3.45,0.82,36-60,Female,340327,58.31,4.81,5.25,Therapy,42676.0,No,56.1,2829.0,2.36,60411.0,0.85,21.58 +31263,Canada,2009,Ebola,Respiratory,14.64,9.18,3.67,19-35,Male,950188,80.65,3.06,5.7,Therapy,34886.0,No,92.8,4416.0,9.69,24912.0,0.61,37.28 +31278,Mexico,2002,Leprosy,Autoimmune,10.57,11.76,5.69,36-60,Other,484624,93.91,1.97,3.1,Medication,24245.0,Yes,54.18,3257.0,2.67,86003.0,0.5,53.7 +31280,France,2004,Leprosy,Metabolic,19.57,8.28,3.43,0-18,Male,670149,68.43,3.8,3.13,Therapy,34904.0,No,64.95,1064.0,5.75,82566.0,0.85,63.7 +31284,India,2006,Dengue,Neurological,14.9,13.52,9.18,0-18,Other,84552,88.71,2.19,4.16,Medication,29186.0,Yes,90.07,2451.0,4.13,12650.0,0.42,80.84 +31289,Saudi Arabia,2024,Influenza,Infectious,4.73,4.42,1.4,36-60,Other,908633,76.66,3.27,9.31,Surgery,3253.0,No,82.72,4046.0,3.39,81710.0,0.62,55.9 +31292,China,2013,Malaria,Viral,14.5,14.14,8.27,0-18,Female,440056,69.73,4.93,5.63,Medication,33183.0,Yes,98.61,3267.0,0.03,87466.0,0.75,71.37 +31296,Japan,2013,Diabetes,Parasitic,1.99,3.58,1.11,61+,Other,186304,55.89,1.76,9.72,Medication,13183.0,Yes,54.17,4131.0,6.58,5530.0,0.44,39.88 +31301,India,2003,Zika,Autoimmune,2.95,10.88,5.35,0-18,Female,754819,63.99,4.64,2.42,Therapy,48268.0,No,79.42,1558.0,4.29,39494.0,0.84,77.09 +31302,Canada,2005,Asthma,Parasitic,11.02,5.86,9.3,0-18,Female,44191,69.49,4.02,7.78,Medication,35257.0,No,77.94,3004.0,6.64,23769.0,0.59,61.18 +31303,Saudi Arabia,2020,COVID-19,Bacterial,1.5,12.73,9.78,0-18,Male,2224,73.47,2.69,2.05,Surgery,405.0,No,50.72,4332.0,0.92,35997.0,0.76,87.54 +31305,India,2021,Parkinson's Disease,Viral,6.86,0.27,7.82,36-60,Other,231762,71.94,3.8,7.66,Medication,1359.0,No,98.52,4397.0,5.17,95183.0,0.44,89.68 +31313,USA,2000,Rabies,Chronic,0.2,3.07,9.03,0-18,Male,939075,54.64,3.47,4.86,Therapy,14842.0,Yes,50.13,3086.0,0.08,41262.0,0.59,63.85 +31315,USA,2016,HIV/AIDS,Bacterial,18.94,4.87,0.65,36-60,Other,473742,87.52,3.07,1.15,Vaccination,11850.0,Yes,98.11,4940.0,5.34,90255.0,0.53,78.45 +31319,Argentina,2002,Hepatitis,Genetic,13.64,4.47,3.92,61+,Other,481762,83.55,2.92,5.58,Medication,19890.0,No,95.76,581.0,4.95,31300.0,0.41,72.8 +31325,Saudi Arabia,2023,Asthma,Respiratory,1.31,5.81,0.96,19-35,Female,928828,68.34,4.25,4.3,Medication,12259.0,Yes,82.92,2730.0,2.48,65175.0,0.5,80.13 +31326,Nigeria,2020,Hypertension,Bacterial,17.38,3.23,1.61,61+,Other,547531,89.02,4.9,4.16,Therapy,45590.0,Yes,67.01,4793.0,7.68,1804.0,0.88,33.51 +31331,UK,2001,Alzheimer's Disease,Chronic,19.39,9.04,5.29,19-35,Other,964670,61.22,2.38,1.63,Therapy,49927.0,No,93.76,1119.0,9.0,83637.0,0.54,49.94 +31340,Germany,2001,Parkinson's Disease,Genetic,4.9,10.95,6.02,61+,Male,378401,58.54,2.88,5.78,Therapy,8533.0,Yes,87.68,1012.0,4.46,27023.0,0.79,31.85 +31342,Germany,2004,Measles,Chronic,12.58,6.61,0.16,61+,Female,89370,60.33,1.34,9.34,Surgery,49347.0,No,52.26,3685.0,7.66,88787.0,0.66,49.09 +31347,South Korea,2004,Alzheimer's Disease,Viral,4.46,6.96,5.87,61+,Other,324322,84.47,1.8,2.6,Therapy,19698.0,No,66.8,3980.0,7.92,29479.0,0.62,32.31 +31349,Germany,2016,COVID-19,Cardiovascular,15.3,2.28,1.56,0-18,Other,583951,74.71,2.71,4.11,Medication,35344.0,Yes,87.47,4376.0,7.17,55179.0,0.81,56.17 +31350,India,2024,Polio,Viral,6.33,0.58,6.03,61+,Male,454400,64.82,2.06,8.04,Vaccination,19998.0,Yes,79.62,4921.0,1.75,93735.0,0.69,65.05 +31357,Australia,2013,Rabies,Respiratory,14.33,8.65,4.77,61+,Other,917445,99.76,0.79,1.39,Medication,33181.0,Yes,85.51,868.0,8.54,11859.0,0.78,86.16 +31362,Japan,2016,Asthma,Viral,16.44,2.05,9.98,36-60,Male,382908,72.8,4.12,7.29,Therapy,25468.0,No,65.69,3151.0,8.24,39217.0,0.44,28.41 +31365,China,2007,Influenza,Neurological,7.75,8.14,1.44,61+,Male,896379,89.07,3.26,2.81,Vaccination,24306.0,No,54.91,1555.0,3.11,91866.0,0.67,55.64 +31372,Argentina,2000,Alzheimer's Disease,Chronic,19.87,4.06,5.53,19-35,Female,677757,57.77,3.19,8.39,Vaccination,4347.0,Yes,76.11,1563.0,6.45,10639.0,0.54,77.72 +31386,Russia,2015,COVID-19,Viral,4.14,12.04,3.05,0-18,Other,664026,50.55,0.98,7.26,Vaccination,43449.0,No,78.72,3803.0,7.01,39573.0,0.59,37.06 +31398,South Korea,2003,COVID-19,Parasitic,19.78,0.96,9.39,0-18,Male,304750,75.82,1.18,4.27,Surgery,47549.0,No,52.11,4112.0,2.41,68401.0,0.78,26.15 +31400,Indonesia,2022,Rabies,Genetic,11.51,13.7,6.98,19-35,Male,859638,97.6,1.3,6.86,Therapy,13137.0,No,68.23,2227.0,5.0,12051.0,0.52,25.91 +31405,Italy,2003,Zika,Cardiovascular,9.25,4.34,9.03,36-60,Male,881814,91.93,4.28,5.06,Vaccination,5489.0,No,97.93,1897.0,0.08,38568.0,0.68,42.79 +31407,Nigeria,2012,HIV/AIDS,Autoimmune,15.9,2.41,7.48,0-18,Male,1307,53.28,2.16,8.74,Vaccination,44265.0,Yes,69.41,2943.0,7.13,28138.0,0.75,69.86 +31414,Australia,2000,Influenza,Chronic,12.55,10.4,8.0,19-35,Female,847677,96.56,2.59,3.55,Surgery,49256.0,Yes,73.75,3344.0,0.28,24008.0,0.57,57.96 +31419,Italy,2007,Malaria,Viral,10.67,13.08,1.2,19-35,Female,571499,62.8,3.52,5.87,Surgery,43627.0,Yes,65.13,287.0,9.48,57079.0,0.52,33.72 +31420,USA,2001,Diabetes,Viral,16.24,0.67,5.93,61+,Female,353406,90.69,4.68,6.75,Therapy,2126.0,Yes,74.65,4954.0,0.48,41080.0,0.88,67.02 +31421,Mexico,2022,Dengue,Genetic,6.45,4.19,8.7,0-18,Male,563016,65.84,1.09,9.47,Surgery,30297.0,Yes,91.67,4196.0,9.96,1658.0,0.46,63.53 +31428,Mexico,2009,COVID-19,Bacterial,4.17,10.48,6.57,36-60,Female,707726,72.27,3.98,8.46,Therapy,19101.0,No,94.68,2338.0,7.68,92930.0,0.63,49.92 +31439,Argentina,2019,Parkinson's Disease,Genetic,4.78,4.75,6.04,0-18,Female,811778,53.54,3.98,2.66,Therapy,21125.0,No,76.89,331.0,0.65,49353.0,0.62,51.74 +31449,Nigeria,2006,Hypertension,Genetic,19.31,6.12,3.97,61+,Male,743991,89.82,3.85,6.03,Surgery,17869.0,No,89.88,1179.0,9.8,70930.0,0.61,62.57 +31454,India,2009,Measles,Neurological,12.91,5.24,4.0,0-18,Male,330989,56.61,2.73,2.73,Vaccination,38211.0,Yes,53.88,1929.0,6.64,46175.0,0.74,35.38 +31478,South Korea,2003,Dengue,Parasitic,10.48,9.58,6.17,36-60,Other,796840,54.04,1.51,5.01,Surgery,46918.0,No,70.22,20.0,2.19,829.0,0.53,76.81 +31481,Argentina,2021,Leprosy,Chronic,3.27,11.21,9.5,36-60,Male,837362,61.39,4.79,9.66,Surgery,41623.0,Yes,97.7,3789.0,9.15,23625.0,0.47,62.02 +31494,China,2008,Dengue,Cardiovascular,3.53,14.65,3.94,36-60,Male,375652,81.35,2.94,3.49,Vaccination,23410.0,Yes,95.16,3141.0,4.49,2278.0,0.42,86.01 +31498,UK,2006,Tuberculosis,Neurological,14.04,8.38,6.34,0-18,Male,360446,60.41,4.05,2.76,Medication,19743.0,No,77.0,4816.0,5.81,53621.0,0.59,86.07 +31499,South Korea,2019,Ebola,Infectious,14.7,14.89,1.86,36-60,Female,54809,71.08,1.74,7.12,Therapy,18361.0,No,93.22,4706.0,7.0,73647.0,0.72,57.61 +31503,Nigeria,2024,Malaria,Parasitic,3.49,12.17,2.09,61+,Male,803710,66.26,4.44,10.0,Medication,1035.0,Yes,68.06,2908.0,3.18,27855.0,0.73,68.1 +31516,India,2020,Alzheimer's Disease,Viral,1.19,4.83,1.49,0-18,Female,52133,54.33,3.05,3.07,Vaccination,29207.0,No,53.22,2761.0,4.02,95683.0,0.43,86.53 +31522,Argentina,2018,COVID-19,Parasitic,16.34,12.86,3.18,36-60,Male,83272,72.71,4.23,2.29,Therapy,41725.0,No,55.74,3052.0,1.53,6008.0,0.41,73.56 +31523,Japan,2021,Malaria,Neurological,0.93,10.79,3.15,19-35,Male,26175,60.73,3.6,5.33,Medication,44696.0,No,84.49,2329.0,0.94,83816.0,0.63,50.61 +31529,UK,2019,Zika,Cardiovascular,9.05,8.8,9.38,61+,Female,116058,89.27,3.69,9.11,Therapy,48221.0,Yes,59.5,1266.0,7.71,60537.0,0.75,79.85 +31534,Italy,2019,Measles,Bacterial,15.24,13.27,0.64,61+,Other,100278,51.94,2.45,4.94,Vaccination,38227.0,No,88.2,662.0,5.27,14232.0,0.86,67.1 +31537,Canada,2012,HIV/AIDS,Metabolic,8.38,13.12,1.42,19-35,Other,309769,50.11,3.01,6.4,Vaccination,18955.0,Yes,80.68,1162.0,4.07,85042.0,0.7,52.8 +31539,China,2004,Polio,Parasitic,4.71,2.72,0.21,19-35,Male,134926,95.13,0.83,6.11,Medication,2982.0,No,68.36,4596.0,0.93,94654.0,0.67,83.8 +31541,Nigeria,2004,Zika,Respiratory,7.12,8.21,4.16,36-60,Other,995864,91.48,2.76,2.71,Vaccination,48042.0,No,52.38,2577.0,7.94,89248.0,0.76,28.2 +31542,South Africa,2008,Hypertension,Metabolic,12.12,13.38,6.98,36-60,Female,754532,75.74,4.07,9.17,Vaccination,28347.0,Yes,63.45,3517.0,5.49,30754.0,0.58,21.11 +31544,Italy,2003,Parkinson's Disease,Chronic,5.32,9.47,8.56,0-18,Other,126678,53.35,1.89,6.86,Medication,37868.0,No,94.55,4147.0,3.01,75386.0,0.82,52.16 +31546,South Africa,2008,Ebola,Genetic,5.28,13.31,8.88,0-18,Other,241551,75.92,4.99,7.81,Medication,787.0,Yes,54.41,2818.0,1.22,62794.0,0.54,74.18 +31547,Australia,2010,Influenza,Chronic,12.6,1.32,4.48,36-60,Female,470974,62.96,3.69,1.86,Therapy,11879.0,No,75.16,102.0,0.7,65469.0,0.76,55.14 +31555,Mexico,2021,Ebola,Neurological,13.73,8.95,3.55,19-35,Other,245632,61.47,5.0,3.84,Therapy,5518.0,No,57.81,4364.0,7.58,87388.0,0.66,67.14 +31556,Saudi Arabia,2021,Hepatitis,Neurological,4.92,3.77,4.95,19-35,Male,155038,96.93,3.77,7.09,Surgery,24220.0,No,84.63,375.0,0.32,801.0,0.61,61.13 +31564,Russia,2020,Parkinson's Disease,Autoimmune,11.82,0.92,8.27,36-60,Male,460706,72.65,0.54,4.33,Surgery,1140.0,Yes,71.36,2759.0,3.52,8173.0,0.46,74.94 +31567,Argentina,2024,Rabies,Chronic,18.94,6.45,7.87,61+,Male,602541,73.41,1.26,4.0,Surgery,17343.0,Yes,87.18,1124.0,1.85,13951.0,0.55,46.08 +31571,USA,2007,Leprosy,Autoimmune,14.97,4.93,7.11,19-35,Male,704590,63.16,2.38,1.35,Medication,18218.0,Yes,73.43,3703.0,1.73,73393.0,0.44,67.54 +31589,Germany,2010,Diabetes,Respiratory,12.14,5.29,9.61,36-60,Female,633582,65.85,0.54,7.67,Vaccination,12829.0,No,73.44,4443.0,5.63,44015.0,0.69,38.67 +31591,Nigeria,2001,Parkinson's Disease,Cardiovascular,18.53,9.14,3.37,19-35,Male,223579,83.2,2.99,9.94,Therapy,24001.0,No,50.13,2380.0,2.26,94479.0,0.74,35.0 +31595,China,2000,Diabetes,Chronic,2.34,11.11,4.82,36-60,Male,481517,94.18,4.85,6.05,Vaccination,44222.0,Yes,81.96,2230.0,7.46,40274.0,0.6,86.76 +31596,Brazil,2013,HIV/AIDS,Genetic,11.41,4.73,7.12,19-35,Other,761916,79.94,2.84,4.29,Medication,19403.0,Yes,95.19,3081.0,4.61,79123.0,0.75,34.95 +31613,USA,2000,Malaria,Bacterial,7.24,9.03,2.93,61+,Female,969464,87.2,4.12,2.94,Therapy,5348.0,No,55.03,2905.0,6.15,88099.0,0.5,59.18 +31615,Mexico,2017,Tuberculosis,Cardiovascular,18.07,14.12,9.02,0-18,Male,348693,93.13,4.4,7.32,Surgery,44971.0,No,96.28,2917.0,6.7,79089.0,0.46,58.66 +31619,UK,2007,HIV/AIDS,Chronic,15.16,13.37,4.87,19-35,Other,606560,95.95,4.55,0.91,Therapy,45962.0,Yes,75.91,3085.0,6.82,66412.0,0.86,47.21 +31622,Brazil,2018,HIV/AIDS,Neurological,17.63,8.76,3.09,36-60,Male,410464,77.87,1.19,2.0,Vaccination,26512.0,No,60.4,4743.0,8.63,26224.0,0.71,79.76 +31623,South Korea,2018,Asthma,Viral,1.31,2.48,9.59,0-18,Female,662588,55.02,4.32,7.49,Therapy,36793.0,Yes,56.25,2892.0,8.09,29297.0,0.82,46.51 +31635,Brazil,2020,Malaria,Parasitic,2.37,13.63,0.15,0-18,Other,170014,74.29,2.69,8.17,Vaccination,39146.0,Yes,96.24,2223.0,5.5,3197.0,0.77,58.02 +31636,China,2002,Tuberculosis,Chronic,10.14,0.37,5.2,61+,Female,22310,75.93,1.98,5.29,Therapy,35697.0,Yes,70.61,3717.0,2.87,36067.0,0.51,38.64 +31639,Turkey,2003,Cholera,Neurological,18.43,0.61,3.24,19-35,Female,295580,70.43,2.9,1.59,Medication,6573.0,Yes,85.48,3543.0,2.19,6308.0,0.52,30.34 +31642,Mexico,2019,Zika,Bacterial,2.21,1.28,5.28,36-60,Other,166275,60.09,1.86,4.89,Medication,24982.0,Yes,59.98,2624.0,9.24,43203.0,0.73,41.98 +31648,Turkey,2004,HIV/AIDS,Cardiovascular,16.33,13.2,0.98,19-35,Other,147102,99.34,3.9,1.07,Medication,9460.0,Yes,67.89,1653.0,1.59,25405.0,0.52,88.65 +31663,USA,2023,Rabies,Viral,15.19,12.36,6.98,19-35,Male,643665,90.81,2.38,4.79,Therapy,36342.0,Yes,81.12,2506.0,0.45,92002.0,0.42,23.99 +31665,Russia,2003,Diabetes,Viral,12.47,8.61,4.61,19-35,Other,504434,82.43,2.15,3.54,Vaccination,48568.0,No,87.92,1785.0,1.26,47331.0,0.49,23.96 +31668,Mexico,2009,COVID-19,Parasitic,7.24,11.77,8.98,0-18,Male,900049,58.23,1.42,9.89,Therapy,29719.0,No,92.64,2095.0,4.2,97401.0,0.46,32.18 +31678,France,2006,COVID-19,Bacterial,8.48,6.95,3.58,61+,Female,248487,60.69,3.75,2.26,Medication,32207.0,No,97.35,225.0,7.74,13972.0,0.5,73.64 +31684,UK,2006,Cholera,Neurological,7.92,5.95,9.18,19-35,Female,56484,83.27,1.18,0.86,Therapy,30127.0,Yes,93.93,2615.0,7.87,82260.0,0.59,66.36 +31685,South Africa,2014,Asthma,Respiratory,8.51,6.75,5.84,36-60,Female,378862,87.43,2.29,1.35,Therapy,6769.0,Yes,51.76,2736.0,7.33,74405.0,0.56,83.29 +31690,Indonesia,2011,Polio,Parasitic,9.72,5.45,6.49,36-60,Female,760086,81.88,2.03,2.93,Medication,10873.0,Yes,61.99,1084.0,7.43,30655.0,0.42,60.62 +31705,Canada,2015,Cholera,Respiratory,13.46,8.66,8.85,19-35,Other,731130,71.59,2.76,9.74,Medication,2538.0,Yes,65.92,3622.0,2.47,73153.0,0.48,82.29 +31721,Argentina,2016,Alzheimer's Disease,Respiratory,13.12,0.25,4.67,36-60,Male,891827,79.5,1.87,2.72,Medication,7176.0,Yes,86.81,892.0,3.45,57533.0,0.69,89.69 +31728,USA,2015,Polio,Chronic,0.46,8.77,4.67,0-18,Other,459818,91.07,1.42,0.92,Medication,15979.0,Yes,58.81,2489.0,9.13,92634.0,0.55,36.46 +31732,USA,2004,HIV/AIDS,Parasitic,18.62,9.86,3.11,36-60,Other,235898,67.43,1.94,7.24,Vaccination,34873.0,No,78.69,4779.0,9.23,47864.0,0.49,39.99 +31753,Indonesia,2019,Influenza,Genetic,6.38,7.51,0.58,19-35,Male,257593,81.27,0.88,6.91,Therapy,25586.0,No,50.42,1767.0,0.59,78874.0,0.71,75.67 +31760,South Africa,2005,Alzheimer's Disease,Cardiovascular,9.95,1.18,1.95,0-18,Male,241254,90.36,3.74,2.19,Surgery,47943.0,Yes,86.49,4472.0,9.51,77434.0,0.55,38.03 +31767,South Korea,2012,Measles,Parasitic,14.62,5.88,7.91,36-60,Other,871793,52.54,3.58,7.31,Surgery,5780.0,No,77.52,3674.0,4.65,45460.0,0.76,45.1 +31773,South Africa,2011,Influenza,Viral,18.89,10.99,7.96,61+,Other,959370,58.86,1.58,7.8,Medication,1476.0,Yes,71.77,2429.0,5.66,78407.0,0.44,47.24 +31777,Mexico,2008,Diabetes,Viral,14.84,1.17,9.79,61+,Male,865441,53.95,4.04,0.78,Medication,26054.0,No,86.35,1924.0,3.28,30372.0,0.66,60.05 +31783,China,2000,Alzheimer's Disease,Autoimmune,5.88,6.44,2.62,36-60,Male,117408,55.86,1.38,7.63,Medication,41444.0,No,93.25,4338.0,1.2,74650.0,0.42,21.36 +31788,France,2005,HIV/AIDS,Chronic,1.94,11.31,1.1,36-60,Male,773587,74.45,4.85,0.83,Therapy,13925.0,No,67.19,782.0,4.43,71637.0,0.6,21.72 +31798,South Korea,2013,Ebola,Genetic,17.23,2.21,2.17,0-18,Female,346640,54.22,2.96,3.09,Vaccination,7308.0,No,92.42,147.0,2.59,36172.0,0.55,82.31 +31803,South Korea,2002,Alzheimer's Disease,Parasitic,12.93,11.53,9.25,61+,Female,328087,57.9,4.75,7.93,Therapy,36417.0,No,84.95,4080.0,2.82,44880.0,0.89,40.25 +31805,USA,2003,Leprosy,Respiratory,10.05,4.57,3.24,61+,Other,731401,59.1,4.28,3.05,Surgery,23249.0,Yes,88.17,829.0,7.14,31336.0,0.82,77.23 +31807,France,2011,Asthma,Cardiovascular,8.93,10.3,4.61,0-18,Female,564070,86.1,2.18,2.67,Medication,44821.0,Yes,55.75,2969.0,2.37,66474.0,0.64,57.41 +31808,Turkey,2001,Polio,Metabolic,5.78,0.7,8.5,36-60,Male,352602,50.1,4.01,5.68,Therapy,46621.0,No,78.0,4401.0,9.42,92161.0,0.86,70.61 +31820,South Africa,2023,Influenza,Respiratory,17.06,3.46,9.13,36-60,Other,828890,55.71,2.65,4.76,Medication,41717.0,Yes,53.8,2532.0,4.58,96365.0,0.89,23.75 +31826,India,2008,Ebola,Neurological,6.87,12.7,7.58,0-18,Female,164390,67.76,4.77,3.46,Surgery,45930.0,No,82.14,1920.0,9.72,89372.0,0.62,60.37 +31831,Saudi Arabia,2000,HIV/AIDS,Cardiovascular,12.88,8.23,7.6,36-60,Male,906691,98.2,4.26,8.98,Surgery,21959.0,No,67.48,2479.0,5.63,95848.0,0.84,44.81 +31834,USA,2007,Measles,Autoimmune,4.73,2.75,4.47,36-60,Female,232536,74.66,3.87,0.55,Therapy,14784.0,No,69.53,75.0,9.3,67340.0,0.52,72.24 +31838,Japan,2021,Polio,Genetic,3.6,9.41,3.0,19-35,Male,798000,76.97,1.53,9.69,Medication,7375.0,No,78.6,3887.0,4.85,87180.0,0.56,24.11 +31847,Nigeria,2022,Leprosy,Metabolic,4.68,10.18,9.65,36-60,Male,312847,82.77,2.03,7.68,Surgery,27505.0,Yes,67.97,2107.0,6.02,16323.0,0.69,77.72 +31850,Italy,2002,COVID-19,Respiratory,14.45,7.23,2.18,36-60,Other,69609,89.43,4.64,7.59,Surgery,8574.0,No,93.08,25.0,3.93,79369.0,0.52,72.73 +31852,Saudi Arabia,2005,Influenza,Infectious,7.93,0.18,8.92,61+,Male,30869,79.31,4.16,6.86,Vaccination,4955.0,No,69.98,2960.0,2.12,90608.0,0.41,83.83 +31855,Saudi Arabia,2020,Hypertension,Bacterial,5.55,6.83,0.91,36-60,Female,653379,68.11,3.99,9.37,Vaccination,39429.0,No,56.24,650.0,1.12,31324.0,0.87,79.84 +31856,Nigeria,2004,Alzheimer's Disease,Infectious,3.63,9.76,3.33,61+,Male,115424,57.2,0.53,2.12,Therapy,1622.0,Yes,79.66,1473.0,3.67,47445.0,0.88,49.1 +31865,Saudi Arabia,2016,Polio,Chronic,8.57,13.03,5.88,61+,Other,49151,87.71,4.53,5.47,Surgery,18843.0,No,50.35,1151.0,4.34,46918.0,0.9,45.98 +31880,Brazil,2020,Cancer,Chronic,10.66,10.59,3.41,36-60,Male,904277,89.03,2.47,2.07,Therapy,29782.0,No,93.71,2076.0,4.6,36723.0,0.53,26.55 +31887,South Africa,2012,COVID-19,Parasitic,14.35,1.04,8.43,19-35,Male,471824,51.54,4.84,6.14,Surgery,40676.0,Yes,51.59,3428.0,8.15,74788.0,0.77,49.08 +31893,Russia,2017,Cholera,Metabolic,12.64,0.31,4.31,36-60,Other,979594,84.01,1.08,0.62,Surgery,14000.0,Yes,61.19,3602.0,9.06,16345.0,0.87,79.56 +31903,Saudi Arabia,2014,Ebola,Chronic,10.51,8.17,1.14,19-35,Female,411087,88.72,2.49,6.93,Vaccination,36730.0,Yes,85.84,2324.0,0.73,42349.0,0.71,52.16 +31908,Argentina,2019,Parkinson's Disease,Infectious,12.76,2.29,0.52,0-18,Female,408370,58.87,4.12,3.47,Surgery,25114.0,Yes,58.98,987.0,4.04,84177.0,0.86,42.48 +31909,Japan,2001,Hepatitis,Neurological,19.13,2.05,6.68,19-35,Other,86806,88.29,1.19,4.58,Medication,49379.0,No,54.04,613.0,5.97,30206.0,0.53,21.15 +31912,Brazil,2020,Polio,Cardiovascular,10.32,11.72,9.01,36-60,Female,12849,73.14,1.78,8.9,Therapy,32767.0,Yes,52.74,3224.0,1.16,50750.0,0.66,24.77 +31922,Indonesia,2015,Rabies,Parasitic,7.99,12.8,6.36,0-18,Male,247826,64.61,1.24,8.98,Vaccination,38732.0,No,95.24,301.0,5.49,22702.0,0.62,71.02 +31924,Germany,2007,Hepatitis,Parasitic,14.96,2.13,5.85,19-35,Other,222246,82.11,2.5,7.86,Therapy,8429.0,Yes,52.7,1692.0,7.01,30130.0,0.77,64.88 +31929,China,2013,Diabetes,Neurological,8.87,3.62,7.21,19-35,Male,771827,81.19,1.28,5.96,Therapy,14018.0,No,92.77,982.0,3.53,77786.0,0.74,42.08 +31932,China,2021,Parkinson's Disease,Respiratory,12.27,3.99,6.89,61+,Other,219334,54.22,0.78,3.88,Vaccination,49473.0,Yes,57.51,3544.0,3.26,79710.0,0.68,76.67 +31939,South Africa,2000,Hepatitis,Neurological,19.37,2.78,9.35,0-18,Other,145953,59.42,2.64,7.51,Medication,28138.0,No,68.7,3594.0,2.36,59079.0,0.75,79.57 +31944,South Africa,2006,Tuberculosis,Metabolic,12.97,2.29,1.19,0-18,Other,924235,98.45,2.96,2.15,Surgery,17426.0,No,57.31,2814.0,8.21,54241.0,0.7,22.58 +31948,Turkey,2002,Cholera,Bacterial,19.32,9.97,1.12,0-18,Other,351319,68.48,4.03,5.29,Vaccination,44242.0,Yes,79.48,4170.0,7.44,12228.0,0.52,42.41 +31950,Germany,2013,Zika,Respiratory,18.25,3.46,4.15,61+,Other,13249,51.52,2.34,9.01,Medication,37715.0,No,98.53,1853.0,9.24,18152.0,0.56,69.85 +31952,Nigeria,2011,Ebola,Chronic,15.23,13.18,2.07,61+,Other,670767,60.08,4.74,5.6,Therapy,48755.0,No,70.36,3198.0,8.19,29494.0,0.78,68.46 +31954,Brazil,2008,Cholera,Autoimmune,9.0,2.63,6.54,19-35,Female,98373,63.97,4.5,9.91,Vaccination,4982.0,Yes,75.07,1114.0,0.52,39398.0,0.7,42.33 +31956,France,2004,Dengue,Genetic,16.83,5.95,0.95,19-35,Other,181059,98.39,4.85,7.14,Surgery,12923.0,Yes,90.52,841.0,0.45,34214.0,0.89,20.61 +31958,South Africa,2007,Cholera,Genetic,18.38,6.15,9.21,61+,Female,640408,81.68,1.24,1.32,Vaccination,22705.0,No,77.61,4910.0,8.22,25563.0,0.62,63.01 +31959,Saudi Arabia,2021,Rabies,Cardiovascular,11.98,10.21,1.52,19-35,Male,967903,91.7,4.22,0.56,Vaccination,6451.0,Yes,82.48,980.0,4.28,62567.0,0.69,38.22 +31962,USA,2003,Parkinson's Disease,Cardiovascular,0.74,10.09,4.88,36-60,Male,667593,73.95,1.97,0.9,Therapy,47120.0,No,71.88,14.0,3.54,26990.0,0.48,33.56 +31971,Russia,2002,HIV/AIDS,Metabolic,11.63,4.53,1.94,0-18,Female,448589,86.83,3.43,3.38,Surgery,48395.0,No,51.09,4706.0,2.38,39869.0,0.69,80.89 +31973,USA,2018,Leprosy,Cardiovascular,11.54,4.04,0.14,36-60,Female,106490,95.01,4.89,4.77,Medication,12031.0,No,78.68,4488.0,0.76,80325.0,0.52,41.38 +31980,UK,2003,Leprosy,Parasitic,0.82,5.2,5.16,19-35,Female,214959,89.15,3.0,8.58,Surgery,16610.0,Yes,77.39,1002.0,6.12,70059.0,0.45,40.93 +31986,Russia,2002,Alzheimer's Disease,Parasitic,13.14,5.94,3.32,0-18,Male,712704,50.22,3.6,3.53,Surgery,7357.0,Yes,77.31,2510.0,2.41,22102.0,0.52,52.53 +31988,Canada,2007,Cholera,Viral,19.78,8.35,2.2,61+,Female,985073,77.39,4.5,6.71,Vaccination,15322.0,Yes,86.47,1044.0,8.45,82074.0,0.67,77.16 +32000,South Korea,2012,Measles,Autoimmune,6.14,0.17,5.63,36-60,Male,136875,90.37,1.09,2.56,Vaccination,49033.0,No,77.75,2926.0,7.45,11651.0,0.9,65.69 +32003,South Korea,2020,Cancer,Metabolic,10.34,11.33,1.93,36-60,Female,683150,87.37,2.92,6.39,Therapy,38324.0,No,91.02,2623.0,9.42,99034.0,0.57,36.6 +32008,Mexico,2004,Polio,Metabolic,16.4,3.47,7.94,61+,Female,854207,53.93,4.85,4.72,Medication,5012.0,Yes,81.76,4105.0,7.15,27971.0,0.7,75.66 +32010,Nigeria,2001,Dengue,Viral,6.94,13.63,5.84,19-35,Male,51785,86.03,3.95,9.28,Therapy,41429.0,Yes,94.6,4369.0,0.03,7442.0,0.52,79.82 +32013,Japan,2021,Alzheimer's Disease,Infectious,3.37,10.91,5.59,19-35,Female,908021,55.63,3.07,9.56,Vaccination,37193.0,No,67.34,2084.0,1.24,39543.0,0.67,78.91 +32023,Canada,2004,Leprosy,Genetic,13.46,8.96,0.88,36-60,Male,784404,70.31,1.9,5.49,Vaccination,225.0,No,92.56,1372.0,5.05,30307.0,0.86,60.39 +32024,Germany,2004,COVID-19,Metabolic,4.24,2.99,2.92,19-35,Female,205957,86.45,3.03,2.68,Medication,27980.0,Yes,87.97,987.0,0.84,82111.0,0.43,88.5 +32028,Turkey,2009,Alzheimer's Disease,Viral,11.38,7.6,7.91,36-60,Other,62260,65.67,0.85,1.39,Therapy,30635.0,Yes,67.29,2478.0,9.07,15320.0,0.69,25.98 +32031,Germany,2004,Asthma,Autoimmune,16.46,7.84,0.92,0-18,Male,779842,92.02,3.43,8.45,Therapy,24256.0,No,54.49,480.0,2.34,37905.0,0.48,39.69 +32035,Canada,2013,Diabetes,Infectious,18.54,9.46,3.77,0-18,Female,954128,92.13,2.69,5.99,Medication,43206.0,Yes,98.84,937.0,2.25,17228.0,0.72,23.26 +32051,South Africa,2015,HIV/AIDS,Infectious,2.46,5.82,2.34,36-60,Male,824115,65.38,2.25,5.22,Medication,47326.0,No,63.49,4771.0,0.74,1030.0,0.6,51.56 +32055,China,2018,Dengue,Parasitic,11.9,13.2,2.66,36-60,Other,974397,69.73,1.29,5.94,Vaccination,49846.0,No,84.93,3314.0,2.02,63998.0,0.87,64.43 +32065,Turkey,2019,Ebola,Respiratory,16.81,5.03,2.92,19-35,Male,493734,57.21,2.29,6.89,Therapy,3546.0,No,61.03,677.0,3.7,46921.0,0.83,73.22 +32070,UK,2011,Zika,Respiratory,17.85,13.72,1.44,36-60,Female,790857,85.11,4.65,7.46,Surgery,259.0,No,53.65,1311.0,0.94,1422.0,0.51,48.49 +32077,Argentina,2016,Rabies,Genetic,5.01,13.02,8.54,0-18,Female,38546,86.64,0.64,2.14,Medication,21393.0,Yes,80.8,3027.0,5.81,4868.0,0.89,70.15 +32079,Argentina,2008,Cancer,Respiratory,7.4,2.5,1.93,61+,Male,551970,55.29,1.71,7.38,Medication,15968.0,No,59.23,1481.0,5.35,62713.0,0.76,49.83 +32081,France,2003,Parkinson's Disease,Parasitic,10.03,8.85,1.13,19-35,Male,144071,63.26,2.41,9.79,Surgery,7166.0,No,67.57,4177.0,5.61,30245.0,0.65,34.68 +32086,Argentina,2021,Influenza,Viral,1.44,2.96,2.28,61+,Male,79108,93.38,3.84,2.5,Therapy,48015.0,Yes,64.77,4360.0,2.8,43963.0,0.71,73.29 +32089,China,2015,COVID-19,Respiratory,12.78,1.68,2.29,19-35,Female,968335,79.62,1.94,7.95,Medication,15843.0,No,69.13,4458.0,0.93,23323.0,0.51,20.32 +32098,Mexico,2011,Cholera,Parasitic,18.55,10.38,2.04,19-35,Female,124245,85.07,4.69,8.41,Medication,31792.0,No,90.73,4098.0,6.06,28582.0,0.48,37.4 +32110,India,2005,Cholera,Infectious,5.23,5.55,3.57,36-60,Other,155206,97.69,2.44,8.44,Medication,46157.0,No,71.04,2514.0,2.1,59824.0,0.84,72.09 +32112,Japan,2002,Diabetes,Parasitic,11.54,4.06,2.04,0-18,Male,891982,73.87,1.3,5.5,Medication,37446.0,No,85.73,2575.0,7.25,88719.0,0.46,52.46 +32121,USA,2009,Parkinson's Disease,Metabolic,2.35,4.88,4.05,61+,Male,973109,97.35,0.77,2.07,Vaccination,47803.0,Yes,80.86,347.0,1.15,5288.0,0.62,52.05 +32127,Australia,2003,Measles,Autoimmune,2.26,6.03,8.88,61+,Other,152105,68.62,3.27,3.79,Surgery,20711.0,No,84.66,1691.0,3.9,47855.0,0.88,49.78 +32128,South Korea,2013,Influenza,Chronic,18.51,1.35,5.28,0-18,Female,598643,95.6,4.68,7.71,Therapy,13105.0,Yes,67.41,3608.0,6.32,90509.0,0.48,45.45 +32134,India,2000,HIV/AIDS,Autoimmune,3.22,3.83,6.03,0-18,Male,802790,84.63,4.68,0.54,Therapy,41399.0,Yes,68.1,1211.0,9.43,88509.0,0.61,59.95 +32137,Australia,2020,Malaria,Parasitic,3.84,2.54,9.12,36-60,Female,930508,94.95,2.04,6.87,Surgery,33905.0,No,69.45,2748.0,7.63,87859.0,0.79,82.87 +32139,South Korea,2024,Dengue,Chronic,10.5,13.79,5.82,36-60,Male,104078,86.51,2.11,8.67,Therapy,25311.0,No,87.32,2797.0,4.04,28512.0,0.52,54.69 +32143,Japan,2016,HIV/AIDS,Respiratory,16.24,5.58,8.56,19-35,Male,768968,98.52,4.69,4.56,Surgery,2095.0,Yes,76.27,1392.0,4.6,87229.0,0.78,38.72 +32144,Germany,2004,HIV/AIDS,Infectious,6.42,7.8,7.06,19-35,Male,803751,65.33,2.32,5.7,Medication,30035.0,Yes,77.42,3092.0,7.67,82552.0,0.42,33.63 +32150,Nigeria,2014,Asthma,Neurological,16.5,9.84,6.2,0-18,Male,746167,74.51,4.76,4.22,Medication,43861.0,No,79.23,4818.0,7.86,42163.0,0.41,78.31 +32158,South Africa,2001,Alzheimer's Disease,Cardiovascular,12.34,7.26,5.14,0-18,Other,728300,78.05,2.88,7.02,Vaccination,30411.0,Yes,79.31,824.0,5.37,74748.0,0.82,67.13 +32166,Canada,2015,Hepatitis,Genetic,16.61,3.64,3.68,19-35,Other,574179,64.58,1.0,6.0,Surgery,19372.0,Yes,76.8,2407.0,0.62,74155.0,0.42,80.46 +32173,Brazil,2000,Measles,Viral,17.4,7.1,2.26,61+,Female,792401,60.19,1.01,1.58,Vaccination,37224.0,Yes,54.74,2463.0,6.03,97007.0,0.41,75.69 +32177,India,2018,Parkinson's Disease,Genetic,14.59,9.24,7.23,36-60,Female,914586,92.54,0.54,7.78,Vaccination,44475.0,No,93.01,1690.0,2.04,52691.0,0.44,49.94 +32178,Saudi Arabia,2018,Measles,Neurological,16.83,4.28,0.73,0-18,Male,619316,62.69,1.29,4.93,Medication,24879.0,No,89.15,1255.0,9.94,18872.0,0.57,30.63 +32181,China,2018,Tuberculosis,Chronic,7.8,6.46,7.97,19-35,Other,163924,72.41,4.12,9.33,Medication,14420.0,No,64.66,2100.0,8.6,82283.0,0.55,32.18 +32184,Japan,2024,Ebola,Viral,15.27,7.53,4.61,19-35,Female,796646,62.29,4.58,4.97,Therapy,49147.0,Yes,94.09,4918.0,2.33,55451.0,0.73,71.8 +32187,Saudi Arabia,2020,Zika,Respiratory,3.89,13.33,8.33,36-60,Other,850226,92.92,4.17,9.6,Vaccination,18738.0,Yes,51.21,1128.0,3.07,68328.0,0.61,73.62 +32200,South Korea,2001,Dengue,Autoimmune,6.15,9.17,0.78,36-60,Male,304182,75.19,4.63,6.29,Surgery,35924.0,No,65.2,3311.0,4.13,2738.0,0.85,83.97 +32201,Saudi Arabia,2018,Measles,Neurological,4.96,2.38,8.23,36-60,Female,614295,66.35,4.9,4.13,Medication,29610.0,No,51.84,63.0,8.8,80717.0,0.82,38.86 +32202,Germany,2020,Cholera,Chronic,6.91,7.58,4.15,61+,Female,938088,57.26,3.11,2.16,Vaccination,37495.0,No,92.18,4210.0,2.85,41002.0,0.71,44.23 +32203,USA,2008,Hepatitis,Cardiovascular,9.2,13.61,8.16,19-35,Female,791360,84.74,2.1,2.61,Therapy,37887.0,Yes,78.24,2816.0,2.25,47058.0,0.5,37.97 +32204,South Korea,2018,Alzheimer's Disease,Infectious,15.55,4.13,4.84,0-18,Female,494204,90.98,3.98,4.15,Surgery,39219.0,No,63.06,4654.0,8.94,66098.0,0.63,47.36 +32205,India,2022,Dengue,Autoimmune,8.04,12.7,4.61,0-18,Male,583131,91.23,1.14,1.18,Vaccination,32900.0,No,56.16,3591.0,1.82,55038.0,0.58,27.09 +32209,Indonesia,2012,Zika,Autoimmune,8.63,4.13,6.82,19-35,Other,847273,69.19,1.75,1.46,Medication,47345.0,Yes,90.97,4418.0,2.4,34130.0,0.81,52.38 +32213,Japan,2004,Leprosy,Respiratory,13.69,13.64,2.39,0-18,Female,367866,97.17,2.86,9.39,Surgery,30160.0,Yes,50.17,1587.0,4.2,66747.0,0.82,43.25 +32222,Mexico,2020,Parkinson's Disease,Infectious,8.33,13.75,1.08,36-60,Other,7493,76.05,2.33,1.04,Therapy,14547.0,Yes,81.2,2147.0,5.1,86263.0,0.77,49.19 +32223,Nigeria,2009,Malaria,Respiratory,11.01,10.69,5.44,0-18,Male,618607,54.67,2.83,7.33,Therapy,15025.0,Yes,71.35,2842.0,9.05,21726.0,0.69,57.15 +32225,Russia,2018,Polio,Bacterial,6.29,4.95,4.95,0-18,Other,813692,69.26,4.46,6.47,Therapy,46561.0,No,62.31,140.0,7.23,87412.0,0.7,40.42 +32229,South Africa,2004,Asthma,Neurological,7.22,6.25,8.38,36-60,Other,117956,65.96,2.31,8.3,Therapy,21103.0,No,93.24,4880.0,8.1,30246.0,0.89,54.84 +32237,Japan,2019,Ebola,Metabolic,8.48,11.97,5.6,0-18,Male,54856,88.06,1.64,1.29,Surgery,25406.0,Yes,86.56,4363.0,3.76,7235.0,0.53,35.14 +32240,Canada,2024,COVID-19,Metabolic,6.87,2.01,4.01,19-35,Male,949244,69.65,3.25,5.45,Therapy,22998.0,Yes,66.58,1787.0,2.29,42529.0,0.47,28.45 +32241,France,2022,COVID-19,Bacterial,11.28,5.61,2.09,19-35,Male,865305,98.61,3.14,4.63,Vaccination,21502.0,Yes,60.23,4621.0,0.34,72013.0,0.89,61.49 +32247,Australia,2015,Hypertension,Infectious,14.16,9.57,9.7,61+,Male,902086,80.93,1.07,4.17,Surgery,25297.0,Yes,52.58,4701.0,3.88,49455.0,0.78,25.39 +32255,Japan,2012,Parkinson's Disease,Bacterial,10.6,10.83,4.77,19-35,Other,779462,51.43,4.15,8.55,Therapy,29672.0,No,84.54,4396.0,0.23,10330.0,0.46,70.35 +32259,Canada,2023,Polio,Neurological,9.14,2.61,7.58,19-35,Male,698375,89.36,3.67,4.2,Surgery,43202.0,No,93.5,3446.0,5.67,8754.0,0.9,55.02 +32262,Canada,2015,Hepatitis,Respiratory,14.38,10.44,6.18,36-60,Other,267782,55.22,4.52,1.62,Medication,36165.0,Yes,94.81,1807.0,5.62,35648.0,0.77,21.3 +32269,South Africa,2018,Asthma,Metabolic,8.59,13.61,1.58,36-60,Other,196782,81.13,3.02,2.37,Surgery,1053.0,Yes,92.06,2596.0,8.95,72330.0,0.86,59.2 +32277,India,2002,Tuberculosis,Chronic,0.67,11.13,4.43,19-35,Male,744032,65.86,2.61,6.05,Therapy,45019.0,Yes,67.31,2764.0,9.67,36063.0,0.78,48.74 +32284,Argentina,2016,Asthma,Chronic,17.57,10.38,4.94,61+,Male,72464,85.48,3.48,3.18,Medication,35189.0,Yes,79.88,684.0,6.31,59830.0,0.45,24.98 +32287,Japan,2016,Dengue,Autoimmune,3.12,12.99,9.94,61+,Male,768886,70.66,1.62,7.15,Medication,39821.0,No,71.74,4541.0,2.66,92966.0,0.52,53.06 +32300,UK,2018,Ebola,Respiratory,7.6,3.15,0.12,36-60,Other,705070,89.82,1.17,6.66,Medication,22048.0,Yes,87.24,3213.0,3.17,1527.0,0.58,40.57 +32307,China,2013,Hepatitis,Parasitic,13.66,9.52,4.87,19-35,Male,612924,88.88,2.15,7.48,Therapy,3458.0,No,84.33,574.0,8.45,87674.0,0.58,27.64 +32308,Russia,2023,Cancer,Viral,1.18,4.05,7.21,36-60,Male,631671,82.22,1.78,1.83,Therapy,45961.0,No,82.43,714.0,6.59,12189.0,0.8,69.2 +32311,Saudi Arabia,2024,Polio,Infectious,6.3,7.51,5.4,19-35,Other,351449,69.73,4.37,1.11,Vaccination,23091.0,No,58.12,3975.0,5.95,57015.0,0.56,83.83 +32337,Nigeria,2008,Ebola,Infectious,9.09,5.4,8.49,0-18,Other,369142,70.54,2.6,4.88,Therapy,40249.0,No,94.38,2245.0,9.32,9794.0,0.89,76.1 +32346,France,2007,Diabetes,Metabolic,14.27,1.67,9.11,61+,Male,805047,66.34,2.28,4.79,Medication,13030.0,Yes,92.53,869.0,2.61,15764.0,0.62,61.45 +32347,Indonesia,2008,Parkinson's Disease,Metabolic,5.59,0.78,1.96,0-18,Male,164141,67.95,1.85,4.61,Surgery,8167.0,Yes,85.09,549.0,7.13,40284.0,0.61,88.33 +32357,South Africa,2003,Measles,Autoimmune,0.77,13.46,8.67,0-18,Male,8704,57.83,1.22,2.22,Medication,3254.0,Yes,89.1,1380.0,4.1,81396.0,0.74,60.31 +32358,Australia,2005,Dengue,Infectious,2.62,5.12,0.44,36-60,Female,88891,50.04,1.96,7.83,Medication,7428.0,No,93.19,4944.0,7.48,46365.0,0.57,88.08 +32368,Russia,2019,HIV/AIDS,Chronic,2.5,13.1,4.05,36-60,Male,982526,57.2,4.94,3.15,Medication,3898.0,No,65.43,3644.0,8.67,4778.0,0.42,67.27 +32369,Mexico,2011,Influenza,Respiratory,13.99,11.35,3.11,0-18,Male,832059,75.6,1.59,6.25,Therapy,21221.0,No,80.94,4179.0,8.23,43767.0,0.47,75.85 +32376,Turkey,2008,Polio,Infectious,11.52,1.23,7.82,0-18,Other,465865,87.92,4.27,8.45,Medication,7135.0,No,50.38,3536.0,0.97,62763.0,0.88,27.38 +32378,Russia,2011,Hypertension,Bacterial,0.37,13.54,1.77,0-18,Female,77067,98.24,4.78,2.42,Therapy,3050.0,Yes,76.09,1126.0,0.11,58541.0,0.44,59.45 +32384,Saudi Arabia,2024,Rabies,Bacterial,15.58,9.34,0.48,19-35,Male,758591,86.59,2.51,7.25,Medication,46941.0,No,65.92,4295.0,4.38,64047.0,0.81,77.43 +32387,Russia,2016,Parkinson's Disease,Infectious,5.98,12.35,8.79,61+,Other,520575,94.58,4.44,9.21,Surgery,15758.0,No,66.19,3527.0,4.46,51763.0,0.86,47.13 +32390,South Africa,2001,Dengue,Autoimmune,0.17,7.93,0.4,0-18,Female,678442,83.17,3.45,0.61,Surgery,38682.0,No,82.15,2000.0,5.66,5192.0,0.62,37.46 +32392,Saudi Arabia,2019,Malaria,Infectious,1.61,13.63,5.88,61+,Female,268216,72.31,4.81,7.07,Surgery,47816.0,No,96.73,2542.0,4.97,5469.0,0.81,36.18 +32396,Italy,2004,Tuberculosis,Autoimmune,16.26,9.59,3.79,0-18,Other,884937,51.92,1.58,8.55,Vaccination,23935.0,No,85.12,3012.0,8.32,19742.0,0.49,41.93 +32404,Russia,2024,Parkinson's Disease,Metabolic,18.38,8.82,1.37,61+,Female,295619,68.43,2.77,7.96,Surgery,6481.0,Yes,93.26,4010.0,5.79,75121.0,0.88,78.83 +32408,Japan,2002,Cholera,Viral,14.82,3.07,5.86,61+,Female,866363,62.02,2.87,1.47,Medication,3304.0,Yes,87.37,1306.0,4.04,64741.0,0.59,54.58 +32412,Russia,2004,Tuberculosis,Metabolic,13.9,12.83,3.37,61+,Other,897315,62.12,2.9,7.37,Therapy,5727.0,No,70.92,826.0,9.81,3171.0,0.51,68.42 +32419,China,2013,Leprosy,Parasitic,12.83,8.58,7.06,61+,Male,965810,65.86,1.09,5.48,Vaccination,12732.0,No,91.02,4501.0,1.55,99612.0,0.74,45.76 +32422,UK,2004,Malaria,Autoimmune,18.33,14.08,6.98,61+,Other,983199,87.41,2.77,5.11,Vaccination,28864.0,Yes,79.3,2322.0,5.72,51166.0,0.77,56.18 +32423,China,2012,Parkinson's Disease,Neurological,13.44,9.34,1.88,61+,Other,725923,92.05,3.38,2.16,Medication,22184.0,No,70.86,4562.0,7.57,51515.0,0.84,40.23 +32431,Turkey,2010,Tuberculosis,Infectious,6.57,2.68,8.59,36-60,Male,447723,57.78,2.05,6.39,Surgery,12485.0,Yes,76.18,1515.0,0.75,12758.0,0.58,37.54 +32435,South Korea,2018,Zika,Genetic,18.84,4.05,7.58,61+,Male,861900,99.96,2.37,5.15,Surgery,23718.0,No,89.49,4594.0,4.94,40405.0,0.48,50.93 +32437,USA,2009,Diabetes,Cardiovascular,12.85,0.24,4.62,61+,Male,520175,70.25,1.52,4.44,Surgery,33027.0,Yes,84.25,115.0,8.81,32128.0,0.59,80.05 +32445,South Korea,2006,Alzheimer's Disease,Infectious,19.88,3.41,3.86,61+,Female,564890,73.47,3.51,1.12,Medication,31720.0,No,80.63,768.0,5.96,46009.0,0.66,77.15 +32449,Nigeria,2007,HIV/AIDS,Cardiovascular,19.58,9.24,8.65,19-35,Female,778756,80.25,1.8,1.42,Surgery,45980.0,No,75.37,137.0,5.3,83760.0,0.83,55.44 +32453,Japan,2008,Alzheimer's Disease,Genetic,17.55,7.3,8.16,61+,Female,322298,83.08,0.55,3.87,Therapy,24465.0,Yes,97.41,3839.0,8.02,25224.0,0.87,53.09 +32456,China,2012,Measles,Bacterial,8.03,14.48,7.72,0-18,Other,108928,79.98,3.0,7.89,Medication,34180.0,Yes,79.15,3625.0,0.72,55381.0,0.47,82.02 +32466,Indonesia,2023,HIV/AIDS,Genetic,16.16,14.91,6.7,0-18,Male,393962,91.93,3.79,4.37,Surgery,32602.0,Yes,98.96,2662.0,5.65,90242.0,0.42,53.93 +32470,UK,2021,Cancer,Neurological,8.3,6.14,8.08,36-60,Other,504198,93.09,2.02,6.47,Medication,20892.0,No,82.92,1198.0,1.53,93207.0,0.59,42.93 +32477,South Korea,2017,Polio,Viral,4.83,7.9,4.29,0-18,Male,629319,66.36,4.16,7.31,Medication,6489.0,No,88.09,2702.0,6.68,38385.0,0.47,46.89 +32478,Russia,2022,Alzheimer's Disease,Autoimmune,18.53,8.72,3.67,19-35,Female,642957,89.28,4.93,2.17,Surgery,33549.0,Yes,53.11,1203.0,0.82,38522.0,0.57,58.84 +32482,Argentina,2019,Hepatitis,Respiratory,2.99,4.41,9.3,19-35,Female,96559,87.39,2.35,9.15,Vaccination,5081.0,No,61.46,2154.0,7.84,97229.0,0.61,52.97 +32484,Brazil,2022,Cholera,Metabolic,7.8,11.9,4.2,61+,Male,827607,56.12,1.71,8.56,Therapy,37335.0,No,96.32,4413.0,5.06,86933.0,0.54,35.38 +32486,Mexico,2024,Hypertension,Cardiovascular,7.87,6.06,6.99,0-18,Other,453745,52.95,1.78,9.99,Therapy,29749.0,No,80.47,1459.0,1.86,26379.0,0.46,58.87 +32488,USA,2016,Asthma,Infectious,0.47,4.78,1.02,0-18,Other,996771,93.7,4.93,6.47,Therapy,22334.0,Yes,56.59,890.0,4.6,84614.0,0.55,81.07 +32492,India,2015,Tuberculosis,Infectious,5.54,10.21,4.27,61+,Other,555475,68.08,4.98,4.05,Vaccination,17258.0,Yes,81.04,2008.0,1.01,5496.0,0.48,51.28 +32496,India,2006,Parkinson's Disease,Chronic,10.33,2.18,9.74,0-18,Female,461156,84.51,0.9,7.25,Surgery,35244.0,Yes,54.55,4376.0,8.66,59526.0,0.68,46.11 +32502,USA,2002,Hypertension,Metabolic,2.56,5.42,4.03,61+,Other,328089,95.18,3.36,6.84,Vaccination,14859.0,Yes,83.26,3771.0,1.99,52179.0,0.81,62.14 +32506,South Korea,2006,Diabetes,Parasitic,5.79,8.96,3.54,36-60,Male,164886,80.7,4.79,7.24,Therapy,19134.0,Yes,87.07,3359.0,6.31,88536.0,0.52,72.66 +32507,India,2020,Diabetes,Chronic,5.76,14.18,5.19,61+,Male,94376,91.43,3.96,1.11,Vaccination,3572.0,No,78.82,3521.0,8.22,77801.0,0.63,77.71 +32509,Australia,2018,Polio,Cardiovascular,3.72,3.33,9.15,19-35,Female,439882,82.52,1.01,4.07,Vaccination,21276.0,Yes,55.64,1607.0,6.25,44941.0,0.72,88.96 +32510,Nigeria,2016,Polio,Autoimmune,19.71,9.24,3.41,61+,Other,351558,88.97,4.33,8.28,Therapy,37387.0,Yes,78.15,1266.0,6.7,3639.0,0.77,27.31 +32517,South Korea,2010,Ebola,Respiratory,14.92,2.61,5.55,19-35,Other,442956,58.03,2.61,6.17,Surgery,13361.0,Yes,96.48,2139.0,4.88,40820.0,0.43,34.31 +32519,South Africa,2008,Diabetes,Autoimmune,16.93,4.2,4.45,19-35,Other,274750,53.07,4.86,2.5,Surgery,33164.0,Yes,63.29,1492.0,5.67,68781.0,0.51,75.42 +32521,Mexico,2000,Cancer,Viral,14.8,12.76,3.32,19-35,Other,578171,58.9,1.43,8.14,Medication,38053.0,Yes,77.49,351.0,3.45,33516.0,0.62,76.17 +32525,Brazil,2006,Cancer,Chronic,0.13,5.11,9.46,0-18,Male,198207,90.36,2.59,4.36,Surgery,26807.0,Yes,56.62,2074.0,9.03,35834.0,0.71,37.96 +32527,UK,2018,Parkinson's Disease,Autoimmune,10.84,3.56,3.74,19-35,Female,110293,63.27,2.86,2.72,Therapy,10472.0,Yes,81.02,2144.0,4.07,75981.0,0.58,27.66 +32534,UK,2021,Parkinson's Disease,Parasitic,12.1,11.21,2.62,61+,Other,208130,74.58,1.93,0.62,Therapy,31905.0,Yes,82.97,2174.0,4.49,19092.0,0.71,47.29 +32544,Italy,2021,Influenza,Respiratory,8.26,11.49,4.1,36-60,Male,138963,65.13,2.75,7.33,Surgery,30509.0,Yes,75.13,1663.0,3.42,55173.0,0.77,55.88 +32547,Indonesia,2018,HIV/AIDS,Chronic,6.87,5.41,3.2,36-60,Male,115968,69.11,1.29,9.87,Therapy,16036.0,Yes,98.49,3058.0,1.63,67990.0,0.4,40.28 +32550,Germany,2008,HIV/AIDS,Respiratory,11.72,9.85,3.1,61+,Male,428139,60.12,1.45,9.27,Vaccination,17999.0,No,74.01,2009.0,4.69,17467.0,0.67,79.85 +32555,USA,2011,Ebola,Autoimmune,6.85,12.42,9.21,19-35,Male,112993,75.01,3.46,6.06,Surgery,13606.0,No,90.41,575.0,8.5,71421.0,0.56,25.97 +32557,Russia,2006,Asthma,Genetic,12.73,9.16,7.78,19-35,Male,685002,80.2,3.35,4.22,Surgery,23419.0,No,95.07,419.0,0.08,13343.0,0.43,45.05 +32558,Saudi Arabia,2012,Malaria,Parasitic,5.27,6.0,0.23,0-18,Male,306460,67.67,4.34,0.55,Medication,10555.0,Yes,98.65,4425.0,3.66,42126.0,0.58,34.96 +32559,Italy,2021,Zika,Parasitic,13.01,3.15,3.28,61+,Male,73103,86.55,1.56,1.19,Medication,47085.0,Yes,61.4,2123.0,4.67,49529.0,0.44,84.88 +32560,Mexico,2021,HIV/AIDS,Autoimmune,4.14,10.14,0.68,36-60,Female,230092,88.3,1.71,1.09,Surgery,20592.0,Yes,88.44,1782.0,5.01,82792.0,0.57,43.17 +32563,China,2012,Alzheimer's Disease,Neurological,10.15,2.0,2.63,36-60,Female,359719,78.55,4.59,2.81,Therapy,7407.0,No,66.52,2755.0,0.31,80422.0,0.89,58.92 +32564,Nigeria,2020,COVID-19,Chronic,4.82,2.48,9.35,36-60,Male,628832,63.93,2.08,3.49,Vaccination,47572.0,No,91.79,2239.0,8.28,95770.0,0.44,73.37 +32566,Turkey,2005,COVID-19,Bacterial,17.19,1.47,4.28,0-18,Other,554153,60.17,4.22,9.17,Therapy,11693.0,Yes,55.29,2241.0,9.16,36333.0,0.74,56.4 +32572,Argentina,2000,HIV/AIDS,Chronic,1.99,14.43,2.08,61+,Female,280041,65.87,4.89,5.79,Medication,34320.0,No,53.69,351.0,8.91,52045.0,0.79,28.51 +32584,Australia,2017,Influenza,Chronic,9.73,7.83,6.41,0-18,Female,992965,98.04,4.36,2.25,Therapy,20798.0,No,86.69,4899.0,3.72,25173.0,0.52,51.27 +32588,Australia,2023,Measles,Respiratory,10.72,6.93,9.34,36-60,Other,522317,71.64,4.89,1.02,Therapy,23663.0,No,59.57,4604.0,3.59,63837.0,0.6,38.72 +32593,Indonesia,2012,Leprosy,Genetic,4.23,7.97,1.19,19-35,Female,792873,85.55,2.92,9.95,Vaccination,20050.0,Yes,77.68,2720.0,9.25,50612.0,0.52,62.45 +32594,Russia,2002,Tuberculosis,Parasitic,4.49,12.29,2.68,0-18,Female,695753,67.95,1.28,4.66,Therapy,4796.0,Yes,79.28,2767.0,1.71,80736.0,0.61,41.25 +32598,India,2024,Measles,Parasitic,15.21,13.51,9.61,0-18,Male,582421,79.12,3.26,2.63,Vaccination,11213.0,No,93.58,669.0,1.08,55461.0,0.89,78.91 +32607,Mexico,2024,Dengue,Parasitic,14.29,13.0,3.88,61+,Other,107002,74.07,3.47,5.02,Medication,30481.0,Yes,64.41,4108.0,7.93,94816.0,0.52,73.04 +32608,Japan,2005,Dengue,Bacterial,2.42,14.03,0.77,19-35,Other,473017,95.74,0.8,2.77,Vaccination,3977.0,Yes,63.74,4462.0,4.68,55410.0,0.69,40.93 +32610,Canada,2011,Cancer,Viral,15.3,14.3,8.73,61+,Male,36585,65.08,3.98,2.64,Medication,742.0,No,54.57,1843.0,9.61,70909.0,0.9,83.1 +32611,Mexico,2013,Diabetes,Genetic,7.08,8.57,7.2,36-60,Other,821254,50.47,1.17,2.57,Vaccination,19848.0,Yes,85.32,1193.0,7.1,89673.0,0.57,60.37 +32622,Italy,2014,Dengue,Parasitic,13.25,10.18,1.0,19-35,Other,513652,98.82,1.28,5.12,Therapy,46612.0,Yes,66.78,543.0,8.15,64955.0,0.64,21.32 +32631,China,2008,HIV/AIDS,Parasitic,3.06,6.91,5.03,19-35,Other,600557,59.38,3.21,6.85,Medication,43505.0,No,83.13,2456.0,2.69,80537.0,0.5,55.01 +32649,Italy,2018,Influenza,Neurological,3.68,0.87,4.23,0-18,Other,177327,58.82,0.79,8.44,Medication,3999.0,No,77.62,4509.0,6.85,10016.0,0.74,89.6 +32651,USA,2016,Alzheimer's Disease,Bacterial,9.12,13.85,2.71,36-60,Male,517501,93.33,3.85,5.98,Medication,22532.0,Yes,94.38,3214.0,1.91,20133.0,0.46,30.35 +32652,France,2008,Leprosy,Viral,2.76,2.79,7.2,36-60,Male,514678,70.59,1.79,7.39,Surgery,2378.0,No,59.48,3913.0,8.35,58342.0,0.47,79.08 +32661,Saudi Arabia,2002,Influenza,Genetic,18.77,14.32,1.29,36-60,Female,856628,73.52,1.38,9.59,Therapy,31729.0,No,59.26,856.0,9.94,55304.0,0.58,32.74 +32662,Indonesia,2007,Alzheimer's Disease,Viral,12.69,3.79,4.42,61+,Other,274446,94.22,2.02,6.59,Therapy,27936.0,No,74.92,295.0,6.01,34088.0,0.6,29.71 +32667,South Africa,2002,Dengue,Respiratory,7.38,10.72,1.57,61+,Other,943872,65.86,0.55,0.94,Surgery,20000.0,Yes,59.25,1529.0,1.77,44073.0,0.49,63.0 +32676,Russia,2022,Zika,Neurological,11.8,4.77,8.66,61+,Other,182191,64.54,1.01,0.76,Surgery,33905.0,Yes,69.97,942.0,5.06,80728.0,0.86,22.94 +32696,Brazil,2018,Measles,Infectious,1.02,12.7,7.51,0-18,Other,190009,55.16,1.44,0.57,Vaccination,2127.0,Yes,98.87,611.0,4.11,59059.0,0.71,80.03 +32698,South Africa,2017,Hypertension,Parasitic,1.05,0.26,5.59,0-18,Male,925908,54.1,2.01,3.15,Medication,469.0,Yes,66.69,3639.0,5.22,33424.0,0.46,79.25 +32700,Italy,2015,Cholera,Metabolic,3.72,4.07,9.24,61+,Other,862180,91.38,1.96,9.04,Medication,41346.0,No,85.0,3094.0,7.46,29086.0,0.81,26.67 +32711,Nigeria,2010,Leprosy,Chronic,18.99,8.15,2.26,0-18,Male,580549,90.46,3.49,3.15,Vaccination,43708.0,No,55.71,3668.0,7.69,25721.0,0.87,39.5 +32713,Mexico,2003,Influenza,Viral,7.87,9.28,5.44,36-60,Male,844034,81.0,2.29,7.32,Vaccination,33018.0,No,50.31,3060.0,6.53,9833.0,0.43,67.54 +32714,South Korea,2013,Dengue,Genetic,19.43,13.67,6.11,19-35,Other,396142,81.15,3.91,5.7,Surgery,16728.0,No,74.5,895.0,6.75,90335.0,0.54,53.26 +32731,Japan,2003,Diabetes,Autoimmune,12.29,4.54,7.71,19-35,Male,908130,87.55,3.88,3.47,Medication,35804.0,Yes,68.62,539.0,2.63,36124.0,0.7,26.08 +32733,South Korea,2010,Leprosy,Respiratory,5.18,4.58,2.32,61+,Female,951293,90.57,1.03,9.01,Vaccination,4762.0,Yes,57.89,1550.0,3.29,77609.0,0.64,33.13 +32736,Indonesia,2000,Asthma,Bacterial,9.26,2.47,7.4,61+,Other,154532,96.18,1.36,8.48,Medication,25128.0,No,83.96,3497.0,2.77,34332.0,0.63,45.64 +32737,Indonesia,2016,Hypertension,Chronic,14.77,2.53,9.55,19-35,Female,707603,57.07,2.94,6.44,Vaccination,14090.0,Yes,79.08,2294.0,9.47,1752.0,0.74,21.21 +32738,China,2007,Tuberculosis,Neurological,6.98,6.08,7.05,61+,Female,621956,81.95,4.53,2.4,Surgery,29473.0,Yes,50.58,862.0,3.68,78361.0,0.84,80.39 +32740,Nigeria,2001,Polio,Cardiovascular,14.6,5.03,6.57,19-35,Male,939021,87.87,0.93,3.77,Vaccination,39303.0,Yes,79.6,3116.0,0.82,5485.0,0.68,67.47 +32751,Argentina,2024,Measles,Parasitic,18.15,3.58,6.12,36-60,Other,110156,89.48,4.61,7.55,Therapy,34829.0,Yes,95.71,4140.0,2.45,73666.0,0.43,62.03 +32755,Turkey,2017,Alzheimer's Disease,Metabolic,10.38,1.21,1.55,36-60,Male,786695,58.83,2.55,3.75,Surgery,30184.0,No,96.94,2859.0,9.75,52535.0,0.46,44.01 +32758,Italy,2004,Leprosy,Cardiovascular,19.57,1.79,4.05,61+,Other,816729,54.4,3.83,6.17,Medication,710.0,No,62.71,3545.0,1.99,62123.0,0.45,40.9 +32763,China,2024,Tuberculosis,Parasitic,5.22,2.05,1.46,61+,Female,62815,96.21,4.48,1.55,Vaccination,23227.0,No,84.76,2851.0,1.15,44280.0,0.78,79.58 +32772,Russia,2003,Measles,Metabolic,1.91,10.7,8.57,0-18,Male,778896,95.3,3.08,6.47,Vaccination,1318.0,Yes,58.48,2384.0,6.75,10835.0,0.64,54.73 +32777,Russia,2018,Rabies,Respiratory,14.22,0.72,3.05,19-35,Other,335751,95.68,2.03,3.94,Surgery,40715.0,Yes,51.03,3485.0,9.64,85505.0,0.46,21.66 +32783,UK,2007,Zika,Infectious,4.23,3.99,0.96,61+,Other,751478,75.58,2.64,2.35,Therapy,46025.0,No,73.45,3033.0,7.89,21774.0,0.81,54.88 +32788,Nigeria,2009,Influenza,Chronic,15.45,10.2,3.5,0-18,Female,473660,51.07,3.32,0.83,Therapy,8983.0,Yes,63.05,4470.0,7.82,86982.0,0.52,49.63 +32790,South Korea,2018,Tuberculosis,Viral,7.61,9.23,1.91,0-18,Other,674861,58.88,3.04,3.51,Medication,23449.0,Yes,92.4,4308.0,0.36,50835.0,0.8,58.83 +32791,China,2008,HIV/AIDS,Parasitic,9.22,12.48,9.58,0-18,Male,31423,95.4,0.89,8.82,Surgery,109.0,Yes,53.97,4521.0,2.09,50466.0,0.51,43.12 +32798,Germany,2005,Hypertension,Genetic,4.99,10.86,4.09,36-60,Female,280765,75.08,3.91,9.69,Vaccination,36560.0,No,68.62,140.0,0.65,1034.0,0.71,82.14 +32799,Russia,2003,HIV/AIDS,Parasitic,16.79,13.35,3.5,19-35,Male,293204,73.42,3.65,3.13,Therapy,29656.0,Yes,72.89,692.0,5.2,17741.0,0.64,20.57 +32813,Nigeria,2018,Cancer,Bacterial,8.05,3.18,3.93,36-60,Other,819014,73.57,4.0,2.25,Surgery,12855.0,No,83.59,2146.0,1.96,61761.0,0.51,45.09 +32817,Mexico,2018,Parkinson's Disease,Autoimmune,2.77,3.62,9.63,61+,Other,46824,53.19,1.25,5.21,Medication,25628.0,Yes,53.64,4321.0,1.31,56318.0,0.6,69.26 +32818,Argentina,2003,Hypertension,Infectious,18.48,2.34,1.13,61+,Female,502145,79.85,1.9,2.45,Therapy,43433.0,No,53.5,3074.0,5.48,94644.0,0.89,80.92 +32825,Australia,2004,Alzheimer's Disease,Metabolic,15.32,14.01,4.48,19-35,Female,406816,51.78,1.02,2.81,Surgery,49859.0,No,67.9,4081.0,4.22,98097.0,0.7,55.96 +32827,South Korea,2009,Ebola,Viral,6.85,11.38,3.43,0-18,Other,913105,89.5,2.87,1.19,Surgery,45544.0,Yes,52.13,2954.0,1.53,57745.0,0.85,35.13 +32830,Argentina,2018,Zika,Parasitic,11.58,12.55,2.04,36-60,Female,676044,96.88,4.73,6.53,Surgery,21060.0,Yes,84.95,2948.0,9.64,49096.0,0.64,55.86 +32837,Brazil,2017,Cholera,Metabolic,13.34,9.49,0.42,19-35,Female,292944,81.49,1.94,2.78,Therapy,6137.0,No,68.95,4581.0,8.27,54265.0,0.51,30.1 +32839,Australia,2016,Cancer,Chronic,11.44,14.64,3.89,61+,Female,682231,78.55,4.77,9.12,Therapy,22577.0,No,73.08,3363.0,6.2,78102.0,0.74,89.33 +32841,Russia,2000,Ebola,Bacterial,8.25,11.23,3.09,36-60,Female,747794,53.2,4.27,9.68,Therapy,2128.0,Yes,94.04,2383.0,5.13,66582.0,0.4,83.18 +32845,France,2000,Dengue,Genetic,0.66,5.17,9.16,19-35,Male,579481,57.84,0.53,3.69,Medication,40016.0,Yes,95.82,1430.0,8.31,16473.0,0.44,22.57 +32861,UK,2020,HIV/AIDS,Cardiovascular,14.28,0.84,0.87,61+,Male,709542,86.2,0.8,7.13,Vaccination,6229.0,No,88.67,4502.0,4.22,58212.0,0.8,29.72 +32863,Nigeria,2007,Alzheimer's Disease,Parasitic,9.58,2.08,6.98,0-18,Male,622047,72.85,3.65,4.64,Vaccination,41702.0,No,89.0,3342.0,8.34,55721.0,0.57,24.68 +32867,South Korea,2002,Ebola,Metabolic,6.27,4.07,6.67,0-18,Male,156851,97.67,1.88,5.95,Vaccination,5380.0,No,68.97,113.0,1.0,86510.0,0.72,40.6 +32874,South Africa,2008,COVID-19,Infectious,7.55,1.91,9.34,0-18,Male,193639,67.41,4.95,1.23,Medication,12079.0,No,73.81,156.0,0.62,50513.0,0.68,67.86 +32880,Australia,2024,Alzheimer's Disease,Genetic,13.8,8.31,7.68,61+,Other,441626,71.29,4.68,3.21,Vaccination,37390.0,Yes,89.71,3708.0,7.53,11495.0,0.52,76.6 +32885,Mexico,2017,COVID-19,Genetic,8.36,3.47,0.81,0-18,Female,567798,91.75,2.11,3.88,Surgery,33103.0,No,67.98,3454.0,4.88,16387.0,0.57,58.14 +32892,South Africa,2024,Hepatitis,Cardiovascular,11.58,11.02,2.81,36-60,Other,35531,85.01,1.03,2.37,Therapy,49327.0,Yes,72.33,3128.0,8.66,34101.0,0.59,30.19 +32893,Indonesia,2015,Asthma,Respiratory,3.37,4.71,0.99,0-18,Male,438227,60.85,2.64,6.36,Vaccination,38680.0,No,85.98,1350.0,2.38,15929.0,0.59,30.51 +32898,Germany,2002,Asthma,Autoimmune,7.41,0.26,2.47,61+,Other,915027,52.44,1.28,2.25,Surgery,34127.0,No,80.52,296.0,0.95,67315.0,0.59,61.46 +32899,India,2024,COVID-19,Genetic,15.41,4.88,1.24,61+,Female,97287,57.71,2.8,2.0,Therapy,8054.0,No,64.99,1041.0,3.94,76331.0,0.44,85.61 +32901,UK,2005,Tuberculosis,Metabolic,8.81,5.9,2.79,19-35,Female,151838,87.64,1.89,6.39,Medication,22239.0,No,55.86,2664.0,1.16,10297.0,0.76,62.78 +32906,Italy,2017,HIV/AIDS,Viral,18.36,14.54,7.98,36-60,Other,812047,72.88,1.39,0.89,Surgery,497.0,No,79.34,2948.0,0.11,63576.0,0.54,88.22 +32910,Italy,2013,Cancer,Viral,3.57,12.9,0.44,61+,Male,996701,96.23,0.98,5.57,Surgery,5656.0,No,52.62,2882.0,3.28,84521.0,0.65,89.39 +32913,USA,2024,Parkinson's Disease,Respiratory,5.69,11.2,6.34,36-60,Other,326608,67.58,2.34,2.24,Surgery,11523.0,No,63.13,1664.0,7.77,68635.0,0.4,78.62 +32920,Australia,2005,Hypertension,Respiratory,18.75,11.15,2.51,36-60,Other,14018,95.86,4.56,9.09,Medication,35607.0,Yes,93.46,3644.0,7.12,50536.0,0.68,62.95 +32924,Russia,2015,Ebola,Neurological,10.33,12.55,7.6,36-60,Other,895961,61.33,1.35,2.32,Vaccination,23280.0,No,78.61,3328.0,8.59,39017.0,0.8,57.48 +32938,Mexico,2010,Cancer,Parasitic,16.95,8.48,6.81,19-35,Male,977565,77.28,4.16,4.8,Therapy,40875.0,No,65.61,185.0,3.23,35299.0,0.44,58.94 +32942,Indonesia,2020,Dengue,Bacterial,1.31,8.01,8.4,19-35,Other,263365,83.39,3.56,4.94,Vaccination,34929.0,Yes,63.41,643.0,8.31,77332.0,0.51,31.61 +32944,Germany,2016,Malaria,Parasitic,7.14,12.51,6.73,36-60,Other,16363,55.72,1.85,8.71,Surgery,47764.0,Yes,69.25,209.0,0.52,30497.0,0.88,78.92 +32958,India,2022,Asthma,Viral,16.7,2.03,6.17,61+,Male,50396,67.15,2.4,6.41,Therapy,16282.0,No,63.72,499.0,3.31,33196.0,0.71,54.33 +32959,Australia,2004,Polio,Chronic,16.58,2.65,6.24,36-60,Female,589222,61.42,2.22,5.43,Surgery,14240.0,No,57.34,3916.0,6.36,70066.0,0.63,71.69 +32960,France,2023,Measles,Autoimmune,6.59,2.07,6.17,61+,Other,193417,92.37,3.33,4.92,Therapy,29761.0,No,71.72,3403.0,9.88,83706.0,0.7,84.8 +32967,Saudi Arabia,2002,Zika,Neurological,17.3,0.49,7.06,36-60,Female,371512,88.75,4.39,2.93,Surgery,19347.0,Yes,55.07,2752.0,8.26,84388.0,0.89,28.07 +32968,Canada,2005,Asthma,Autoimmune,19.83,6.36,8.53,0-18,Other,225669,52.47,3.58,6.46,Therapy,45905.0,Yes,73.35,1303.0,7.25,55735.0,0.53,21.31 +32972,France,2007,Cancer,Neurological,9.28,2.68,8.85,36-60,Female,620232,73.58,3.33,6.77,Vaccination,39430.0,Yes,52.82,824.0,2.26,1740.0,0.87,72.59 +32976,India,2001,Rabies,Respiratory,15.51,5.93,8.56,19-35,Male,633796,78.81,1.14,4.14,Surgery,21868.0,No,51.79,3945.0,6.91,46289.0,0.5,46.84 +32978,South Africa,2006,Cancer,Viral,8.74,11.69,2.36,19-35,Female,914625,91.93,4.82,7.45,Surgery,43502.0,Yes,83.98,973.0,4.67,38506.0,0.66,62.52 +32990,China,2006,Influenza,Autoimmune,1.89,8.28,7.87,0-18,Male,809091,96.72,0.98,6.31,Medication,49749.0,Yes,53.33,591.0,2.28,76468.0,0.83,47.17 +32996,Saudi Arabia,2018,Influenza,Parasitic,11.26,10.41,4.95,19-35,Other,807473,80.43,1.85,1.98,Medication,17611.0,Yes,61.01,4019.0,6.48,508.0,0.78,44.18 +33001,Canada,2003,Leprosy,Respiratory,11.64,1.92,5.25,0-18,Other,612990,84.18,1.39,3.51,Vaccination,2799.0,No,95.2,3145.0,5.48,81961.0,0.49,59.92 +33003,Germany,2008,Influenza,Parasitic,11.43,12.07,0.28,0-18,Other,409530,97.12,4.24,7.64,Surgery,11813.0,Yes,80.91,4074.0,1.09,37983.0,0.84,47.0 +33005,Saudi Arabia,2024,Polio,Viral,11.34,6.95,0.7,0-18,Male,939005,50.02,3.21,6.6,Therapy,28116.0,No,94.67,1955.0,6.85,78557.0,0.9,51.61 +33010,Turkey,2005,Zika,Cardiovascular,11.84,8.67,0.28,19-35,Other,567874,58.59,2.53,9.58,Vaccination,7787.0,No,67.73,423.0,9.64,79942.0,0.57,67.89 +33017,Russia,2009,Parkinson's Disease,Viral,17.27,7.01,4.73,36-60,Male,745023,81.66,0.97,8.45,Medication,9990.0,Yes,68.15,455.0,0.06,9645.0,0.4,83.42 +33019,Indonesia,2013,Parkinson's Disease,Chronic,13.56,6.14,3.18,0-18,Other,15909,79.42,2.29,5.89,Vaccination,5229.0,Yes,97.31,3328.0,9.8,92824.0,0.89,56.92 +33021,USA,2001,Dengue,Cardiovascular,11.2,5.98,6.34,36-60,Female,41802,72.86,4.77,9.08,Therapy,17970.0,No,54.96,1036.0,3.34,87877.0,0.58,65.18 +33029,Italy,2020,Dengue,Autoimmune,18.05,12.8,5.74,0-18,Male,467592,54.56,3.84,6.0,Medication,8500.0,No,79.03,2524.0,8.76,79618.0,0.62,86.89 +33030,Mexico,2023,Malaria,Autoimmune,16.82,5.64,4.96,0-18,Female,207506,80.32,2.77,6.75,Vaccination,39415.0,No,80.81,4293.0,7.84,92324.0,0.77,50.79 +33033,China,2010,Leprosy,Autoimmune,16.8,5.07,4.49,0-18,Male,844485,55.17,4.04,5.8,Surgery,17502.0,Yes,89.54,3889.0,6.43,56381.0,0.86,49.63 +33035,Indonesia,2017,Hepatitis,Autoimmune,19.95,7.79,2.23,19-35,Other,688987,89.22,4.18,8.94,Vaccination,49960.0,No,54.12,4524.0,9.44,22432.0,0.47,67.37 +33059,Japan,2005,Parkinson's Disease,Neurological,8.74,2.95,6.03,19-35,Other,59598,60.03,2.94,9.89,Vaccination,3256.0,No,54.51,1079.0,3.9,97445.0,0.58,82.72 +33063,Russia,2018,Rabies,Parasitic,10.3,0.34,5.8,36-60,Other,593971,97.39,1.73,8.71,Vaccination,31215.0,Yes,98.62,1397.0,1.15,80987.0,0.78,42.16 +33067,UK,2010,Polio,Respiratory,0.62,9.09,2.93,61+,Female,181336,75.07,2.8,6.21,Medication,12217.0,No,57.15,4921.0,7.99,77461.0,0.86,33.26 +33080,Canada,2010,Tuberculosis,Parasitic,4.13,3.96,7.71,36-60,Other,276802,66.86,2.01,5.58,Medication,26290.0,Yes,88.56,2218.0,8.5,47211.0,0.66,88.06 +33085,Russia,2013,Leprosy,Neurological,6.42,4.59,7.52,19-35,Other,977736,53.66,1.53,8.53,Vaccination,44825.0,No,52.2,2679.0,8.98,46864.0,0.6,77.06 +33090,India,2005,HIV/AIDS,Cardiovascular,15.21,9.44,9.31,0-18,Male,980580,72.88,1.41,1.28,Therapy,17857.0,No,97.19,1324.0,1.16,59815.0,0.63,38.5 +33091,China,2024,Cholera,Genetic,13.98,7.47,5.1,19-35,Other,529405,60.36,4.59,0.9,Vaccination,28550.0,Yes,64.52,4206.0,6.09,49994.0,0.66,21.8 +33104,Germany,2018,Hypertension,Genetic,17.76,14.53,4.5,36-60,Female,832322,54.9,1.29,6.22,Surgery,37355.0,No,70.02,2261.0,4.37,22994.0,0.63,21.25 +33106,Canada,2010,Cancer,Cardiovascular,14.94,14.69,3.41,19-35,Male,404177,62.44,1.23,5.48,Therapy,5474.0,No,97.74,1480.0,5.74,80691.0,0.48,56.8 +33113,Nigeria,2008,Zika,Metabolic,19.55,12.34,7.92,0-18,Male,793221,67.2,4.36,1.4,Medication,233.0,No,90.93,3797.0,7.83,89404.0,0.62,31.66 +33125,USA,2010,Rabies,Parasitic,15.67,7.45,0.66,19-35,Female,33233,55.17,3.15,9.37,Medication,25559.0,Yes,69.32,2894.0,2.63,28554.0,0.64,89.9 +33126,India,2021,Influenza,Metabolic,19.94,8.62,6.23,19-35,Female,331031,63.77,3.36,5.81,Medication,21623.0,Yes,50.3,1046.0,2.46,27208.0,0.73,58.68 +33134,Italy,2015,Cancer,Neurological,2.37,14.39,3.26,61+,Female,327785,89.52,4.03,1.34,Vaccination,37658.0,No,74.38,1741.0,7.39,28457.0,0.72,57.1 +33136,Russia,2022,Hypertension,Infectious,18.54,5.0,3.31,19-35,Male,128519,78.38,3.13,0.6,Therapy,21914.0,No,78.04,2298.0,4.33,35369.0,0.42,24.3 +33141,USA,2015,Hypertension,Autoimmune,0.44,11.36,2.96,19-35,Male,219288,84.84,3.2,8.36,Surgery,12758.0,Yes,89.2,230.0,6.78,43340.0,0.86,71.47 +33144,Russia,2013,Hypertension,Cardiovascular,17.55,11.94,2.47,61+,Female,588276,52.12,3.94,7.51,Medication,13451.0,Yes,58.24,3677.0,8.25,69500.0,0.52,73.03 +33146,Australia,2006,Parkinson's Disease,Bacterial,12.2,0.13,2.87,19-35,Male,423955,51.35,0.97,5.57,Therapy,27003.0,No,80.87,4544.0,8.85,70821.0,0.83,71.47 +33152,Mexico,2011,Ebola,Bacterial,16.86,2.47,9.77,36-60,Other,181582,72.39,4.89,5.91,Therapy,19299.0,No,76.71,548.0,5.24,38655.0,0.48,44.49 +33165,Japan,2006,Leprosy,Bacterial,15.58,8.41,6.15,19-35,Male,39649,51.21,4.31,5.11,Surgery,16246.0,Yes,80.55,4783.0,3.06,95154.0,0.69,70.65 +33166,India,2019,Rabies,Genetic,13.28,13.52,4.79,19-35,Male,905711,54.91,3.36,1.31,Therapy,40131.0,No,86.72,2402.0,6.97,74921.0,0.69,30.56 +33167,India,2008,Rabies,Autoimmune,11.84,3.57,2.99,0-18,Male,265680,74.88,0.87,4.56,Therapy,12545.0,No,94.35,4140.0,2.17,97071.0,0.46,25.74 +33171,Turkey,2013,Ebola,Viral,12.83,10.2,2.45,36-60,Male,552109,62.63,3.7,6.58,Therapy,16426.0,Yes,95.77,1878.0,2.95,72046.0,0.89,87.13 +33173,Italy,2005,Diabetes,Genetic,9.37,11.78,3.8,61+,Male,920563,96.76,2.43,1.35,Medication,40957.0,Yes,98.48,4729.0,7.39,89539.0,0.49,25.77 +33175,Turkey,2003,Cancer,Infectious,0.22,9.94,4.19,36-60,Female,94017,62.24,1.87,2.2,Surgery,218.0,No,51.37,714.0,4.23,71255.0,0.51,48.91 +33183,Germany,2011,Diabetes,Autoimmune,5.57,5.08,7.74,61+,Female,602617,78.64,1.27,1.67,Medication,20710.0,Yes,89.49,1594.0,4.81,1385.0,0.69,79.87 +33191,France,2009,Dengue,Cardiovascular,3.19,14.22,9.54,19-35,Male,967757,75.91,4.14,6.01,Therapy,27262.0,No,58.07,3838.0,2.63,24350.0,0.56,63.24 +33193,France,2016,COVID-19,Bacterial,0.35,2.62,6.54,61+,Male,178036,79.75,3.1,5.63,Surgery,36299.0,No,56.29,2697.0,5.42,91737.0,0.59,78.28 +33198,UK,2000,Polio,Viral,0.3,14.26,6.16,0-18,Male,523067,51.02,4.14,5.25,Surgery,47278.0,Yes,51.6,3764.0,5.78,45541.0,0.89,71.99 +33201,Argentina,2008,Cholera,Autoimmune,16.68,12.32,3.95,0-18,Other,828891,66.3,1.42,6.22,Vaccination,40442.0,Yes,52.59,4729.0,8.26,6591.0,0.66,45.01 +33209,India,2004,Parkinson's Disease,Infectious,3.24,3.23,8.9,19-35,Other,566186,64.99,4.4,2.29,Therapy,32452.0,Yes,73.51,4404.0,3.01,82615.0,0.51,30.12 +33221,Canada,2002,Ebola,Parasitic,17.23,9.06,6.02,36-60,Male,348094,87.54,2.45,7.8,Surgery,2119.0,Yes,63.96,3305.0,7.44,70648.0,0.85,81.36 +33223,Canada,2015,Cholera,Respiratory,4.97,10.07,7.53,19-35,Female,356126,98.63,4.86,2.65,Medication,35676.0,Yes,77.17,1767.0,3.92,94218.0,0.62,74.5 +33231,Saudi Arabia,2019,Diabetes,Genetic,10.77,8.12,8.32,36-60,Female,499542,60.16,1.05,8.33,Surgery,16652.0,No,87.72,881.0,0.38,61665.0,0.55,66.04 +33235,Japan,2007,Diabetes,Chronic,11.35,10.19,1.41,36-60,Female,712365,57.38,1.79,6.97,Surgery,34080.0,No,69.78,1434.0,2.18,3823.0,0.7,66.38 +33239,India,2001,Hypertension,Bacterial,5.12,11.54,1.45,0-18,Female,157693,93.52,4.81,6.96,Medication,47782.0,Yes,51.99,2802.0,0.35,66896.0,0.61,76.43 +33240,Saudi Arabia,2019,Malaria,Genetic,13.37,6.93,4.7,0-18,Male,417142,85.34,3.73,1.09,Vaccination,43300.0,Yes,89.36,652.0,6.43,87065.0,0.76,74.51 +33242,Indonesia,2006,Parkinson's Disease,Genetic,18.12,2.16,8.04,36-60,Male,675860,73.2,2.51,2.95,Therapy,16362.0,No,73.03,2426.0,2.33,67294.0,0.71,68.77 +33243,South Africa,2012,Asthma,Autoimmune,15.61,11.27,9.7,36-60,Other,173742,84.95,2.77,0.82,Vaccination,8020.0,No,54.86,1874.0,1.13,61472.0,0.56,22.19 +33251,China,2003,COVID-19,Bacterial,8.41,10.51,2.54,0-18,Other,823377,88.7,2.48,6.47,Medication,1206.0,Yes,64.01,2316.0,4.71,78800.0,0.81,27.34 +33252,Russia,2003,Dengue,Cardiovascular,18.75,0.67,5.0,19-35,Other,659135,51.34,3.79,5.2,Medication,39921.0,Yes,62.51,1690.0,0.35,51981.0,0.88,43.41 +33254,Nigeria,2019,Diabetes,Chronic,19.54,14.97,0.39,36-60,Other,184997,66.37,4.8,7.36,Medication,17922.0,No,93.07,2753.0,4.06,3534.0,0.87,56.05 +33255,India,2011,Measles,Parasitic,19.45,0.87,7.63,0-18,Other,610674,94.05,4.3,3.31,Therapy,10015.0,No,91.04,4386.0,2.6,17705.0,0.68,23.41 +33260,Canada,2012,Parkinson's Disease,Autoimmune,9.76,6.28,2.26,61+,Other,548417,95.95,0.91,4.83,Vaccination,44664.0,Yes,73.32,4567.0,9.45,46165.0,0.73,25.65 +33261,Brazil,2013,Diabetes,Bacterial,7.16,1.01,7.91,19-35,Other,294244,93.58,4.5,6.2,Therapy,3954.0,Yes,73.91,878.0,4.15,41000.0,0.7,31.81 +33263,Germany,2016,Hepatitis,Respiratory,6.65,10.42,9.28,0-18,Female,588376,90.7,0.78,1.78,Therapy,37209.0,No,93.95,199.0,4.65,4249.0,0.49,61.99 +33265,Nigeria,2013,Ebola,Chronic,9.57,10.78,5.54,61+,Female,936214,54.04,2.61,3.14,Vaccination,29448.0,No,82.54,4257.0,5.91,60639.0,0.63,34.76 +33268,Japan,2005,Measles,Infectious,12.62,13.2,7.38,0-18,Male,751878,62.43,4.54,9.34,Therapy,6893.0,Yes,68.7,2748.0,3.17,93712.0,0.44,88.2 +33270,Indonesia,2007,Asthma,Bacterial,6.22,3.36,2.16,19-35,Female,481825,83.93,1.5,9.94,Surgery,21947.0,Yes,78.09,2367.0,8.26,93823.0,0.5,34.46 +33271,Germany,2021,Rabies,Infectious,16.43,11.73,1.15,19-35,Female,488481,85.79,4.01,2.05,Surgery,3184.0,Yes,56.87,2183.0,5.17,14241.0,0.57,53.26 +33283,Italy,2004,Alzheimer's Disease,Cardiovascular,14.52,6.37,5.06,61+,Male,940633,62.55,2.14,2.35,Medication,5308.0,Yes,86.93,1165.0,8.1,37207.0,0.69,35.35 +33285,Turkey,2001,Cholera,Metabolic,16.95,1.73,2.12,61+,Male,48795,92.36,2.86,1.63,Surgery,45281.0,No,52.22,1683.0,8.8,84900.0,0.59,70.11 +33291,Brazil,2008,Ebola,Genetic,14.92,9.34,4.45,36-60,Female,266508,91.07,2.65,0.53,Therapy,27908.0,Yes,89.36,3510.0,8.4,92072.0,0.78,75.7 +33292,Japan,2015,Cancer,Metabolic,8.81,8.17,6.28,19-35,Other,392645,54.01,1.54,4.81,Medication,6148.0,Yes,76.91,1957.0,7.67,34356.0,0.73,39.71 +33293,UK,2007,Dengue,Metabolic,17.63,12.27,6.94,19-35,Male,480894,68.0,1.87,9.18,Therapy,45726.0,No,53.05,3621.0,3.89,91620.0,0.64,52.91 +33295,Russia,2011,Alzheimer's Disease,Cardiovascular,0.71,7.86,5.77,61+,Other,127879,86.86,4.75,1.63,Therapy,23395.0,Yes,76.25,44.0,1.34,60716.0,0.53,75.91 +33299,India,2002,HIV/AIDS,Parasitic,17.3,3.86,4.79,61+,Male,82007,78.53,0.81,7.39,Therapy,15102.0,No,94.11,4835.0,0.54,46711.0,0.82,81.99 +33305,Australia,2017,Leprosy,Bacterial,6.97,8.61,7.01,36-60,Female,111597,81.76,4.28,7.15,Medication,24154.0,No,77.77,4579.0,6.17,66948.0,0.73,50.03 +33306,South Africa,2010,Diabetes,Respiratory,6.16,1.79,2.62,36-60,Female,778294,95.81,1.47,3.12,Medication,32044.0,Yes,92.6,199.0,6.6,58903.0,0.65,29.89 +33310,Brazil,2017,Malaria,Respiratory,3.88,4.66,5.84,61+,Male,842930,78.22,3.42,7.37,Therapy,23152.0,No,59.75,33.0,3.49,37653.0,0.46,24.5 +33319,France,2010,HIV/AIDS,Chronic,8.01,6.7,1.38,61+,Female,490034,86.23,3.08,8.9,Therapy,34569.0,No,68.81,434.0,6.8,1110.0,0.47,71.11 +33329,Argentina,2016,Alzheimer's Disease,Viral,7.3,10.34,7.03,36-60,Female,445737,75.61,1.18,4.17,Surgery,36155.0,Yes,65.32,3068.0,5.8,85118.0,0.87,84.13 +33335,Australia,2018,Leprosy,Cardiovascular,12.87,2.28,6.57,0-18,Male,288063,82.21,4.21,4.3,Vaccination,21780.0,No,91.19,1611.0,2.28,79675.0,0.64,26.89 +33340,Japan,2019,Diabetes,Cardiovascular,18.17,6.49,6.29,61+,Male,823507,50.06,0.76,7.09,Vaccination,18418.0,Yes,75.67,3471.0,4.37,76443.0,0.86,22.16 +33343,Argentina,2002,HIV/AIDS,Neurological,1.68,14.48,7.59,0-18,Other,501102,79.9,1.25,0.51,Therapy,4935.0,Yes,66.79,327.0,1.09,38972.0,0.41,46.36 +33345,Argentina,2015,Diabetes,Metabolic,18.57,13.96,3.34,19-35,Female,71444,82.98,4.2,9.68,Vaccination,20868.0,Yes,91.89,3507.0,7.32,22060.0,0.4,76.47 +33347,Turkey,2013,Cancer,Neurological,10.56,3.77,4.61,36-60,Male,498366,90.51,0.83,6.3,Medication,19530.0,Yes,74.85,762.0,9.14,7330.0,0.58,26.11 +33350,China,2005,Polio,Parasitic,15.61,6.56,5.84,36-60,Female,808203,99.79,3.78,2.58,Surgery,40466.0,Yes,63.6,4928.0,2.04,44524.0,0.64,89.77 +33353,Italy,2006,Ebola,Autoimmune,7.59,10.28,9.34,61+,Other,207802,67.94,2.32,8.16,Surgery,39406.0,Yes,66.98,1711.0,9.94,23941.0,0.43,86.73 +33377,Brazil,2016,Parkinson's Disease,Respiratory,5.25,11.04,6.2,19-35,Female,682148,56.14,2.34,6.7,Medication,42793.0,No,55.54,420.0,0.72,3773.0,0.88,50.18 +33393,Saudi Arabia,2018,Asthma,Neurological,10.96,9.17,6.26,61+,Other,315644,78.63,3.62,1.79,Medication,20710.0,No,71.8,2383.0,0.2,77854.0,0.54,85.18 +33394,Japan,2008,Cholera,Genetic,2.31,12.66,5.07,36-60,Other,591356,89.96,1.34,2.47,Therapy,10315.0,Yes,81.81,3466.0,3.2,4813.0,0.4,34.07 +33399,Nigeria,2019,Dengue,Infectious,13.58,4.31,7.46,0-18,Other,973610,52.88,2.41,8.12,Surgery,19361.0,No,95.14,4777.0,6.89,19384.0,0.42,65.95 +33401,Indonesia,2008,Zika,Bacterial,3.84,5.44,0.48,61+,Male,412660,88.11,4.22,7.33,Surgery,17708.0,No,50.3,1605.0,9.4,6717.0,0.75,26.91 +33407,China,2014,Diabetes,Neurological,7.93,8.71,1.23,36-60,Other,429457,66.1,1.35,2.9,Vaccination,45291.0,No,80.76,4799.0,0.52,60121.0,0.55,47.26 +33411,Mexico,2023,Leprosy,Cardiovascular,12.71,6.14,8.1,0-18,Female,169560,93.01,2.89,3.09,Therapy,10745.0,No,67.31,46.0,4.91,93793.0,0.84,74.58 +33430,Canada,2008,Hypertension,Chronic,18.0,6.8,3.32,61+,Female,240590,82.13,2.4,9.6,Vaccination,46867.0,Yes,53.33,4299.0,8.82,52448.0,0.49,63.94 +33438,Brazil,2023,Alzheimer's Disease,Viral,1.14,13.13,4.92,61+,Male,789751,57.98,3.6,5.55,Therapy,19160.0,No,90.84,1530.0,7.18,96059.0,0.59,80.23 +33444,Indonesia,2018,Alzheimer's Disease,Infectious,4.22,2.15,2.49,19-35,Female,844212,54.63,4.69,8.58,Medication,40846.0,No,52.33,3172.0,5.61,36309.0,0.88,82.51 +33447,Mexico,2014,Diabetes,Autoimmune,3.8,9.07,9.2,19-35,Male,18992,50.0,3.63,3.02,Vaccination,6677.0,Yes,62.6,3600.0,1.44,35383.0,0.46,46.68 +33458,Nigeria,2000,Dengue,Bacterial,14.17,3.92,3.46,19-35,Female,837050,55.48,3.88,7.9,Therapy,762.0,No,98.87,4704.0,8.21,17589.0,0.43,78.24 +33463,South Africa,2014,Zika,Autoimmune,16.36,12.32,5.21,36-60,Female,211757,62.95,3.39,1.72,Therapy,33215.0,Yes,75.91,450.0,0.99,43606.0,0.4,21.8 +33477,Brazil,2016,Zika,Genetic,13.88,2.65,2.51,36-60,Male,7976,87.2,4.94,5.36,Therapy,37469.0,No,85.37,3760.0,5.82,16441.0,0.77,82.67 +33478,South Korea,2010,Measles,Cardiovascular,16.45,10.4,7.86,19-35,Male,391785,56.22,4.02,2.79,Medication,38718.0,No,71.69,4710.0,7.0,69731.0,0.77,84.8 +33485,Nigeria,2004,Malaria,Genetic,7.16,14.71,7.45,36-60,Female,565965,89.55,4.38,1.84,Surgery,8934.0,No,56.04,3452.0,8.29,16662.0,0.75,52.1 +33487,Indonesia,2005,Hepatitis,Respiratory,3.22,12.77,6.31,19-35,Male,570373,57.71,4.58,2.11,Vaccination,4905.0,Yes,54.92,3183.0,3.25,71105.0,0.63,27.88 +33500,Canada,2009,Rabies,Infectious,2.0,3.04,4.17,61+,Other,407169,99.33,0.63,7.01,Surgery,22769.0,Yes,67.97,3930.0,9.06,84693.0,0.73,76.34 +33518,Saudi Arabia,2002,Dengue,Neurological,19.46,5.47,7.06,0-18,Female,530698,83.13,1.93,6.64,Surgery,6821.0,No,93.49,1485.0,2.95,91640.0,0.76,43.91 +33525,France,2009,Tuberculosis,Metabolic,8.24,0.33,9.45,36-60,Male,753255,63.91,4.4,2.4,Surgery,41762.0,No,87.51,4338.0,2.71,49687.0,0.47,61.87 +33527,Italy,2009,Diabetes,Viral,12.83,11.28,5.55,61+,Other,660719,58.57,4.83,5.1,Surgery,10641.0,No,69.78,3936.0,9.35,23898.0,0.77,25.97 +33539,India,2016,Polio,Infectious,2.71,7.74,5.64,61+,Other,643113,53.67,0.69,9.57,Medication,33740.0,Yes,58.81,3226.0,3.43,33403.0,0.68,72.64 +33550,Germany,2011,Rabies,Neurological,2.73,7.77,3.88,36-60,Female,765094,95.79,1.01,3.64,Surgery,29477.0,No,88.24,928.0,2.49,66696.0,0.54,25.53 +33555,Saudi Arabia,2007,Parkinson's Disease,Infectious,11.38,9.21,9.12,19-35,Other,373033,64.42,3.55,6.41,Vaccination,47621.0,No,89.99,2598.0,5.09,69880.0,0.71,47.83 +33558,France,2012,Hypertension,Parasitic,6.82,7.35,0.77,36-60,Male,297440,62.96,4.55,0.87,Surgery,48160.0,No,74.5,4028.0,2.76,11042.0,0.87,36.06 +33567,USA,2018,Cancer,Infectious,19.73,9.8,5.25,36-60,Other,221023,71.95,1.34,6.66,Medication,12771.0,No,82.29,697.0,5.99,93201.0,0.49,84.18 +33570,Nigeria,2010,Cholera,Bacterial,18.4,9.63,3.87,61+,Female,852176,73.44,1.55,1.37,Surgery,46568.0,No,87.74,1233.0,9.39,53777.0,0.68,40.37 +33571,Australia,2000,Diabetes,Infectious,7.82,4.26,3.66,61+,Female,791236,52.53,3.34,7.8,Surgery,10326.0,Yes,65.88,4774.0,5.89,61705.0,0.49,29.41 +33590,Russia,2017,Hepatitis,Autoimmune,6.29,1.26,9.46,0-18,Male,414767,99.8,2.11,9.97,Surgery,7390.0,No,62.9,3766.0,6.48,71393.0,0.85,24.47 +33603,Brazil,2005,Alzheimer's Disease,Viral,14.32,2.59,4.53,36-60,Male,132196,54.78,2.14,1.8,Therapy,4680.0,Yes,51.23,4760.0,6.38,99372.0,0.74,85.6 +33622,India,2004,Polio,Chronic,18.03,2.11,1.77,0-18,Other,561870,77.77,2.53,5.43,Therapy,39623.0,Yes,84.81,1779.0,4.8,42070.0,0.58,49.61 +33627,Italy,2022,Measles,Chronic,8.29,7.21,1.67,0-18,Male,322832,68.23,1.87,6.79,Medication,39527.0,No,71.65,3740.0,1.45,46655.0,0.69,85.53 +33630,Mexico,2018,Cancer,Parasitic,6.31,9.47,6.1,61+,Male,573387,78.79,2.82,2.55,Therapy,38736.0,Yes,56.27,501.0,9.28,6946.0,0.75,79.17 +33636,Germany,2014,Hypertension,Chronic,9.69,7.73,5.78,36-60,Other,267731,67.31,0.86,5.09,Medication,21828.0,Yes,57.38,583.0,0.34,70431.0,0.77,76.4 +33637,India,2002,Malaria,Cardiovascular,12.14,0.72,9.62,61+,Female,7670,73.79,0.72,5.46,Surgery,18768.0,Yes,58.19,3849.0,6.9,17470.0,0.67,53.41 +33640,Argentina,2006,Malaria,Neurological,6.18,5.0,0.52,0-18,Other,741681,87.97,1.51,3.76,Medication,23514.0,Yes,90.45,2695.0,8.93,75233.0,0.82,82.38 +33645,Mexico,2022,Dengue,Parasitic,6.22,12.11,5.72,19-35,Female,577418,76.8,2.22,0.74,Therapy,49179.0,Yes,85.47,210.0,4.82,65170.0,0.66,45.08 +33651,Saudi Arabia,2004,Zika,Neurological,15.85,6.86,1.4,36-60,Male,364563,81.71,4.88,3.02,Vaccination,42705.0,No,90.29,2663.0,8.55,67132.0,0.56,63.24 +33654,Russia,2011,Asthma,Genetic,3.98,0.1,4.72,0-18,Male,36967,82.1,2.57,9.59,Medication,21940.0,Yes,62.32,3824.0,7.96,95139.0,0.87,59.49 +33658,Indonesia,2002,Dengue,Cardiovascular,10.31,10.85,3.98,61+,Other,339284,92.42,1.1,7.46,Surgery,656.0,No,62.26,1541.0,6.24,1837.0,0.79,83.97 +33659,Japan,2014,Measles,Neurological,15.12,3.91,8.49,61+,Other,173895,61.63,4.56,8.68,Vaccination,12305.0,No,50.3,902.0,5.92,24742.0,0.43,63.38 +33662,South Korea,2008,HIV/AIDS,Viral,3.69,3.65,9.2,0-18,Female,584801,67.34,0.81,8.91,Vaccination,14878.0,No,61.02,4034.0,5.5,78233.0,0.6,89.57 +33673,France,2007,Dengue,Autoimmune,6.83,1.57,8.27,19-35,Other,439875,83.39,3.66,2.15,Medication,15131.0,No,76.32,267.0,9.82,84961.0,0.61,38.63 +33684,Nigeria,2018,Influenza,Respiratory,9.68,14.51,5.79,61+,Female,63236,52.26,4.29,8.9,Therapy,41827.0,Yes,54.41,1723.0,6.83,23524.0,0.72,82.57 +33688,India,2015,HIV/AIDS,Autoimmune,6.32,13.7,5.89,61+,Female,319240,71.37,2.79,9.39,Therapy,45172.0,Yes,95.03,2606.0,4.74,70230.0,0.65,68.56 +33689,Argentina,2022,Ebola,Viral,16.76,8.82,3.73,0-18,Male,640695,88.37,4.96,3.66,Surgery,36205.0,No,92.63,2309.0,6.99,13069.0,0.67,88.42 +33692,France,2024,Diabetes,Parasitic,7.56,6.26,7.75,36-60,Other,968681,98.31,3.78,5.62,Medication,43254.0,No,88.79,3864.0,5.48,64384.0,0.47,57.82 +33701,USA,2001,Hepatitis,Cardiovascular,18.77,7.38,9.91,19-35,Female,338476,69.87,3.22,2.43,Surgery,13426.0,Yes,72.66,990.0,1.62,31947.0,0.53,66.05 +33702,UK,2015,Leprosy,Bacterial,14.44,13.02,0.91,36-60,Male,751068,70.99,4.49,6.78,Surgery,2246.0,No,97.08,1289.0,5.82,82462.0,0.88,70.19 +33714,Japan,2001,Parkinson's Disease,Viral,13.32,11.13,5.09,61+,Female,415728,78.52,2.01,9.72,Surgery,5443.0,Yes,57.35,1404.0,6.73,68915.0,0.88,41.18 +33715,South Korea,2024,COVID-19,Respiratory,16.7,8.35,5.97,36-60,Other,543407,86.12,1.54,2.57,Therapy,7282.0,Yes,79.61,3287.0,3.66,67918.0,0.47,86.57 +33717,Italy,2023,Polio,Respiratory,9.12,7.25,2.93,0-18,Male,764187,60.11,1.64,1.41,Vaccination,28199.0,Yes,72.35,2909.0,1.98,82577.0,0.82,60.71 +33719,South Africa,2024,Influenza,Bacterial,6.14,6.23,8.57,36-60,Other,775353,85.72,1.43,7.99,Therapy,8796.0,Yes,54.19,617.0,6.2,99302.0,0.48,72.8 +33721,USA,2009,Measles,Respiratory,5.42,2.41,9.02,0-18,Other,860109,69.97,3.99,8.46,Surgery,19187.0,Yes,87.13,4940.0,6.5,73725.0,0.8,80.82 +33740,Japan,2021,Asthma,Viral,11.26,4.61,9.82,61+,Male,207486,98.49,2.08,8.67,Surgery,11932.0,Yes,72.31,3992.0,5.33,27605.0,0.42,74.5 +33745,Saudi Arabia,2003,COVID-19,Cardiovascular,17.78,7.65,2.57,36-60,Male,224776,73.3,2.66,2.42,Surgery,24985.0,Yes,81.39,3122.0,1.5,29675.0,0.6,46.32 +33748,UK,2021,Asthma,Genetic,15.31,12.63,6.22,61+,Other,865699,82.37,0.98,8.5,Vaccination,7341.0,No,98.96,4129.0,1.84,77816.0,0.77,67.13 +33751,Turkey,2011,Tuberculosis,Metabolic,13.42,3.26,2.55,36-60,Female,362885,56.63,2.57,4.19,Therapy,8777.0,Yes,59.62,1693.0,3.73,72550.0,0.53,27.65 +33753,USA,2022,Polio,Neurological,7.35,3.7,3.93,36-60,Female,842708,55.89,2.8,6.24,Medication,49554.0,Yes,66.41,3961.0,2.36,17221.0,0.56,23.17 +33757,Japan,2021,Hypertension,Parasitic,18.78,9.97,9.53,19-35,Male,384997,93.48,1.35,0.69,Medication,8719.0,Yes,97.98,3812.0,1.72,51806.0,0.89,51.04 +33759,China,2007,Leprosy,Infectious,9.99,2.55,4.1,36-60,Male,244871,98.48,2.02,3.83,Vaccination,1941.0,No,96.05,4323.0,1.96,84633.0,0.41,64.25 +33768,Nigeria,2016,Hypertension,Chronic,18.77,14.31,0.91,61+,Other,141639,70.15,1.08,5.62,Surgery,8684.0,Yes,76.67,2773.0,5.49,23801.0,0.43,74.61 +33772,Italy,2003,Hepatitis,Chronic,3.16,10.22,6.57,61+,Female,118560,70.75,4.49,1.97,Medication,35785.0,Yes,81.23,4943.0,5.64,13633.0,0.86,31.03 +33779,South Africa,2017,Malaria,Bacterial,16.89,7.82,6.89,61+,Male,710731,71.13,4.66,6.96,Medication,47437.0,Yes,54.65,4715.0,0.18,42940.0,0.49,87.22 +33786,UK,2019,Cancer,Autoimmune,1.06,10.66,9.4,61+,Male,32116,74.3,4.8,1.98,Vaccination,4799.0,Yes,60.38,501.0,7.4,61798.0,0.73,84.0 +33794,Germany,2010,COVID-19,Cardiovascular,15.61,11.54,2.65,36-60,Male,950440,56.74,3.96,7.3,Medication,12569.0,Yes,63.44,2021.0,2.29,56402.0,0.85,42.97 +33795,USA,2005,Polio,Infectious,11.96,5.39,4.95,36-60,Male,764174,69.25,1.79,7.5,Medication,13884.0,No,90.74,1379.0,2.49,60126.0,0.74,47.92 +33796,Italy,2021,Measles,Chronic,4.33,11.4,6.59,61+,Male,769054,70.71,4.54,4.01,Vaccination,31649.0,No,64.65,2913.0,3.04,25074.0,0.71,78.49 +33804,France,2008,Measles,Chronic,10.36,1.06,5.9,0-18,Female,579920,68.01,2.25,4.7,Therapy,31393.0,No,88.54,101.0,1.6,65764.0,0.53,85.97 +33810,South Africa,2016,Leprosy,Neurological,10.91,13.14,2.72,36-60,Male,400524,96.37,1.52,5.16,Vaccination,26833.0,No,83.2,1461.0,5.08,92930.0,0.54,48.23 +33820,Mexico,2020,Leprosy,Bacterial,2.71,7.84,8.99,36-60,Male,136351,51.11,2.63,4.28,Therapy,13597.0,Yes,75.85,1179.0,5.84,26103.0,0.43,32.72 +33822,UK,2003,Malaria,Bacterial,6.52,11.02,1.04,36-60,Female,680500,57.72,1.54,2.43,Medication,11295.0,Yes,88.63,4452.0,0.19,6478.0,0.61,65.67 +33823,Italy,2017,Hepatitis,Metabolic,18.62,10.09,2.0,0-18,Other,625922,85.67,1.02,0.86,Surgery,35738.0,No,77.26,1541.0,6.16,35232.0,0.49,40.08 +33826,South Korea,2007,Diabetes,Bacterial,17.53,13.29,8.57,0-18,Female,551223,85.94,0.79,1.63,Surgery,35482.0,Yes,52.88,1117.0,8.3,68241.0,0.53,60.84 +33833,Australia,2008,Parkinson's Disease,Cardiovascular,1.78,5.4,5.27,36-60,Other,780592,89.4,2.27,2.61,Therapy,21983.0,Yes,64.14,357.0,2.36,77474.0,0.77,76.44 +33840,India,2007,Tuberculosis,Cardiovascular,13.48,8.41,6.48,36-60,Male,132723,87.64,1.36,2.86,Surgery,9555.0,Yes,90.58,525.0,8.68,82381.0,0.7,78.1 +33841,Italy,2006,Dengue,Bacterial,17.55,2.0,0.39,0-18,Other,819093,74.65,3.43,9.76,Therapy,44705.0,No,70.95,4065.0,6.73,88137.0,0.76,42.38 +33850,China,2010,Zika,Autoimmune,0.87,5.91,1.36,19-35,Male,689133,67.27,4.22,3.85,Surgery,32894.0,Yes,93.57,4110.0,6.23,81464.0,0.78,28.54 +33859,Brazil,2023,Hypertension,Parasitic,14.79,3.85,7.89,36-60,Female,134113,66.11,3.84,2.41,Surgery,46194.0,No,72.01,3893.0,9.23,44069.0,0.83,33.63 +33864,India,2018,Rabies,Parasitic,0.85,13.28,0.87,0-18,Male,150819,82.88,3.51,2.76,Therapy,12157.0,No,52.95,4315.0,6.36,95316.0,0.86,81.32 +33879,France,2009,Cancer,Neurological,9.93,3.99,3.75,36-60,Female,537729,64.43,2.61,8.2,Surgery,22958.0,Yes,68.08,4189.0,6.38,47792.0,0.82,44.71 +33881,South Africa,2008,Hepatitis,Infectious,16.44,6.88,5.26,61+,Female,367489,55.0,3.43,3.4,Therapy,29578.0,No,92.17,467.0,7.06,87151.0,0.7,23.23 +33884,Russia,2005,Zika,Viral,5.68,0.64,5.84,19-35,Other,230514,75.46,2.94,5.77,Vaccination,8183.0,No,52.9,4614.0,3.51,44713.0,0.59,30.84 +33889,France,2021,Malaria,Chronic,9.54,1.12,0.94,0-18,Other,749029,51.62,1.04,5.25,Vaccination,11957.0,No,51.01,208.0,8.16,84222.0,0.7,43.92 +33891,Mexico,2011,Hypertension,Genetic,7.2,1.31,6.87,19-35,Male,765179,76.75,2.04,4.01,Therapy,4013.0,No,71.41,4349.0,8.67,13136.0,0.45,88.82 +33892,India,2013,Ebola,Viral,12.36,13.55,2.86,0-18,Other,125817,98.27,0.86,6.57,Vaccination,2248.0,No,66.63,2177.0,9.04,75672.0,0.43,34.22 +33895,Italy,2009,Zika,Metabolic,15.4,1.05,5.1,0-18,Male,537491,87.6,1.52,0.64,Therapy,17185.0,Yes,69.65,3367.0,0.57,52131.0,0.42,24.48 +33898,Germany,2015,Alzheimer's Disease,Genetic,13.4,10.73,3.69,61+,Female,728174,90.33,4.22,5.43,Vaccination,9262.0,No,75.64,72.0,7.35,7480.0,0.83,36.49 +33899,Indonesia,2017,Tuberculosis,Chronic,18.8,12.92,4.33,0-18,Female,351051,84.54,4.04,3.14,Surgery,21009.0,Yes,67.38,2806.0,5.8,54821.0,0.79,23.73 +33901,India,2000,Tuberculosis,Cardiovascular,18.01,5.93,8.04,36-60,Other,609677,63.82,1.34,6.73,Therapy,3268.0,No,56.62,4395.0,3.15,94172.0,0.56,49.11 +33902,Australia,2002,Cancer,Genetic,0.19,0.61,8.34,61+,Other,545492,74.78,2.03,6.76,Therapy,41953.0,No,63.57,2501.0,2.61,63730.0,0.78,83.89 +33911,Japan,2006,Leprosy,Respiratory,17.09,1.05,2.76,36-60,Female,974003,63.7,0.97,5.59,Surgery,15124.0,No,83.54,3231.0,6.3,15387.0,0.69,20.34 +33922,Germany,2023,Alzheimer's Disease,Infectious,17.25,7.52,0.31,36-60,Other,404380,70.62,0.89,6.0,Surgery,20012.0,No,52.54,200.0,6.68,84099.0,0.55,25.27 +33923,Germany,2000,Tuberculosis,Bacterial,16.04,3.28,2.62,36-60,Other,740169,67.66,0.92,1.42,Medication,13012.0,Yes,96.48,1256.0,2.73,18364.0,0.86,30.81 +33924,Canada,2017,Asthma,Autoimmune,17.98,2.01,3.09,36-60,Male,148042,58.92,0.63,2.4,Medication,47095.0,Yes,65.17,3097.0,8.0,30317.0,0.45,51.42 +33925,Japan,2017,Leprosy,Neurological,19.84,8.99,6.5,36-60,Male,741561,71.81,2.16,1.16,Therapy,13741.0,Yes,84.45,2388.0,8.72,51978.0,0.57,27.46 +33926,Australia,2013,Malaria,Parasitic,4.37,10.03,2.37,0-18,Female,842858,84.92,2.43,5.72,Medication,18610.0,Yes,97.56,1408.0,4.31,74702.0,0.46,57.42 +33932,Argentina,2003,Ebola,Neurological,9.05,0.82,7.84,61+,Other,636337,81.94,4.49,8.84,Surgery,2617.0,No,64.97,3248.0,6.88,88215.0,0.82,58.64 +33934,Brazil,2017,Parkinson's Disease,Viral,15.99,10.69,4.18,0-18,Other,804387,59.87,2.04,3.52,Medication,12002.0,No,70.23,3117.0,8.94,53814.0,0.84,50.84 +33935,Indonesia,2016,Hepatitis,Metabolic,19.6,12.12,9.25,36-60,Other,817310,88.62,1.8,3.9,Medication,38167.0,Yes,61.05,3117.0,1.12,48190.0,0.62,31.13 +33939,South Africa,2008,HIV/AIDS,Parasitic,1.31,12.12,1.75,61+,Other,512866,97.63,2.93,9.99,Surgery,39289.0,No,89.35,3642.0,3.68,94591.0,0.47,24.14 +33940,India,2012,Malaria,Neurological,13.13,13.63,2.76,61+,Female,903013,93.36,3.94,5.03,Surgery,19809.0,Yes,93.63,4050.0,4.36,33980.0,0.83,82.16 +33949,South Korea,2017,COVID-19,Parasitic,16.94,2.02,2.05,0-18,Male,52078,98.73,3.93,7.99,Vaccination,21306.0,No,56.77,1059.0,1.51,88422.0,0.69,84.79 +33950,Indonesia,2021,Influenza,Metabolic,0.99,9.95,5.18,36-60,Female,725858,88.56,0.6,7.11,Therapy,41444.0,Yes,83.93,3483.0,3.58,51100.0,0.67,33.78 +33952,Argentina,2007,Asthma,Chronic,14.0,11.51,8.96,0-18,Female,737883,57.91,3.06,2.37,Vaccination,30095.0,Yes,68.29,2101.0,1.59,90837.0,0.46,32.63 +33955,South Korea,2012,Leprosy,Chronic,2.77,2.33,3.29,36-60,Other,797623,54.81,4.6,6.77,Medication,21797.0,Yes,72.6,752.0,0.36,16643.0,0.51,51.62 +33956,Russia,2019,HIV/AIDS,Chronic,16.37,2.61,5.04,0-18,Female,981630,75.43,3.8,4.91,Vaccination,16102.0,No,92.48,4804.0,3.9,24464.0,0.77,52.67 +33968,South Africa,2002,Zika,Genetic,2.95,1.74,6.79,61+,Female,131432,65.08,1.45,9.65,Surgery,1218.0,Yes,69.9,2924.0,7.5,94266.0,0.7,80.73 +33972,India,2014,Influenza,Autoimmune,9.15,11.62,2.04,36-60,Other,476315,67.12,1.39,9.96,Medication,19162.0,Yes,68.42,3208.0,1.76,80303.0,0.55,60.63 +33983,France,2003,Parkinson's Disease,Cardiovascular,9.77,13.03,5.11,0-18,Male,652141,78.79,4.61,4.24,Therapy,218.0,No,95.59,1749.0,6.78,32365.0,0.77,83.59 +33986,Italy,2023,Cholera,Chronic,6.27,14.85,2.12,0-18,Other,859475,62.88,3.62,1.31,Medication,12185.0,No,51.28,1311.0,1.28,77156.0,0.57,44.8 +33990,India,2020,Influenza,Neurological,15.37,10.24,6.25,61+,Other,36741,74.61,3.89,6.02,Medication,36088.0,No,82.17,4698.0,4.59,16487.0,0.52,40.04 +33993,South Africa,2014,Diabetes,Bacterial,6.37,0.59,4.27,61+,Female,395575,88.9,0.64,3.62,Surgery,33279.0,No,51.22,1364.0,3.01,97648.0,0.45,60.39 +33997,Turkey,2006,Parkinson's Disease,Autoimmune,10.86,5.82,2.24,36-60,Female,840188,86.55,2.26,3.66,Medication,19963.0,Yes,93.15,4957.0,2.09,96768.0,0.55,50.36 +34007,Italy,2018,Influenza,Autoimmune,6.03,8.68,5.81,61+,Female,259387,84.86,1.37,4.41,Therapy,27763.0,No,82.09,3389.0,7.42,54115.0,0.71,77.52 +34008,Turkey,2000,Malaria,Neurological,3.47,11.92,4.42,61+,Male,185868,82.32,1.2,3.18,Vaccination,1823.0,Yes,76.06,4771.0,9.68,77784.0,0.8,33.2 +34015,Turkey,2023,Rabies,Chronic,3.39,5.4,7.26,61+,Male,126824,84.15,2.74,9.61,Surgery,13025.0,No,74.43,2467.0,4.84,64294.0,0.58,64.55 +34016,Canada,2014,HIV/AIDS,Autoimmune,5.56,5.38,2.72,61+,Other,639427,82.28,1.13,3.72,Vaccination,32771.0,Yes,63.4,4025.0,7.96,99209.0,0.48,83.92 +34021,Nigeria,2001,COVID-19,Neurological,7.86,12.84,8.34,36-60,Male,265417,75.65,2.15,8.04,Surgery,8926.0,No,58.72,1145.0,3.05,86968.0,0.49,65.02 +34029,Canada,2004,Alzheimer's Disease,Genetic,4.57,2.59,9.52,0-18,Other,512733,73.76,5.0,2.47,Medication,31447.0,Yes,67.19,2091.0,1.32,34245.0,0.88,86.41 +34030,UK,2023,COVID-19,Neurological,17.62,3.19,3.39,36-60,Female,805842,82.26,1.58,5.8,Therapy,22455.0,No,94.09,363.0,9.72,28040.0,0.67,49.04 +34034,France,2019,Hypertension,Chronic,14.16,3.39,0.53,19-35,Male,990213,82.81,1.03,9.06,Vaccination,44079.0,Yes,79.62,4378.0,2.58,56163.0,0.62,26.08 +34036,Italy,2006,Parkinson's Disease,Metabolic,16.45,7.51,9.26,61+,Male,28997,50.65,0.6,6.57,Vaccination,6133.0,No,93.24,1071.0,6.07,70898.0,0.57,59.82 +34038,Brazil,2006,Zika,Parasitic,3.24,13.03,0.38,61+,Other,807743,87.47,3.88,8.43,Therapy,4003.0,Yes,88.79,1111.0,1.98,77412.0,0.59,38.1 +34039,Italy,2005,Parkinson's Disease,Autoimmune,17.02,3.44,0.72,36-60,Other,761774,94.54,4.44,7.63,Medication,38193.0,Yes,54.72,2069.0,7.5,39194.0,0.66,63.56 +34040,France,2010,Hypertension,Autoimmune,11.3,5.82,9.54,61+,Other,722017,82.63,2.89,6.1,Surgery,26915.0,Yes,59.72,3829.0,4.3,31353.0,0.73,32.02 +34048,Indonesia,2008,HIV/AIDS,Respiratory,2.99,10.32,8.99,0-18,Male,758143,64.77,4.65,4.05,Medication,5173.0,Yes,82.33,3452.0,1.66,28053.0,0.53,55.91 +34058,Germany,2020,Cholera,Cardiovascular,2.95,11.12,1.46,19-35,Female,606963,78.04,4.4,6.58,Therapy,492.0,Yes,76.25,4379.0,7.21,75718.0,0.67,28.29 +34063,Germany,2002,Alzheimer's Disease,Respiratory,1.26,13.34,1.04,0-18,Other,591263,52.24,0.69,8.24,Medication,16162.0,No,92.36,3865.0,0.49,31090.0,0.86,47.43 +34077,China,2017,Influenza,Respiratory,17.56,1.58,8.24,61+,Other,222620,67.73,4.97,6.8,Medication,44096.0,No,95.0,3739.0,4.58,68221.0,0.58,41.58 +34079,France,2019,Influenza,Genetic,0.54,7.57,7.57,61+,Female,651190,60.59,1.66,1.52,Medication,27451.0,No,77.52,1480.0,2.5,61140.0,0.8,64.36 +34084,Italy,2018,Cancer,Bacterial,6.24,2.51,3.49,0-18,Male,716219,94.31,4.04,7.52,Surgery,5624.0,No,76.73,81.0,8.66,71856.0,0.51,76.49 +34088,China,2017,Cancer,Parasitic,0.49,1.24,1.46,19-35,Male,166846,54.2,3.65,2.47,Surgery,12293.0,No,69.82,2066.0,7.37,1080.0,0.74,71.47 +34095,USA,2009,HIV/AIDS,Cardiovascular,1.82,1.5,2.94,19-35,Female,38387,79.36,0.64,5.66,Surgery,33261.0,No,53.79,2509.0,2.38,78677.0,0.53,40.11 +34096,Italy,2009,Cancer,Metabolic,6.97,8.22,0.12,19-35,Female,256137,60.57,4.5,2.23,Therapy,2244.0,Yes,60.4,4240.0,4.3,85172.0,0.83,56.49 +34102,France,2012,Cholera,Neurological,3.39,14.3,1.62,61+,Male,628604,83.2,0.7,3.11,Vaccination,515.0,Yes,98.15,2088.0,2.47,73755.0,0.68,48.44 +34105,Canada,2021,Asthma,Parasitic,4.01,1.89,7.04,36-60,Male,842581,66.37,0.61,2.88,Therapy,49351.0,No,67.63,4774.0,9.41,74280.0,0.52,63.46 +34111,South Korea,2013,COVID-19,Infectious,13.63,11.96,7.65,36-60,Male,600466,99.17,1.92,4.02,Vaccination,29040.0,No,91.07,3886.0,3.78,2924.0,0.53,24.3 +34132,Argentina,2023,Polio,Chronic,2.61,2.23,4.86,36-60,Other,150873,80.76,1.78,3.01,Medication,39670.0,No,51.66,4591.0,9.04,91728.0,0.49,37.16 +34138,UK,2023,Parkinson's Disease,Neurological,1.57,4.33,4.29,36-60,Other,470779,66.43,2.55,9.89,Medication,14276.0,No,51.08,1673.0,1.85,55537.0,0.85,70.48 +34139,Nigeria,2005,Tuberculosis,Respiratory,19.2,6.64,8.07,61+,Other,33730,86.64,2.77,2.57,Therapy,6510.0,Yes,74.35,2846.0,8.83,42393.0,0.69,71.32 +34141,Italy,2013,Cancer,Respiratory,5.0,4.75,1.04,0-18,Female,370424,85.36,2.83,4.98,Vaccination,17307.0,Yes,98.63,1732.0,6.24,84914.0,0.69,82.91 +34145,Australia,2005,COVID-19,Viral,19.59,2.15,8.92,19-35,Male,40396,80.97,1.56,8.17,Therapy,22443.0,No,69.34,3800.0,2.63,81314.0,0.88,73.65 +34147,Australia,2002,Cholera,Chronic,12.03,3.57,8.25,61+,Female,206044,90.57,0.56,5.51,Surgery,42304.0,No,94.43,2450.0,3.67,77821.0,0.66,29.32 +34152,South Africa,2018,Polio,Viral,8.16,13.87,1.56,36-60,Other,826959,85.39,2.9,6.32,Surgery,18428.0,No,93.5,2749.0,6.23,78389.0,0.59,75.03 +34153,South Africa,2022,Leprosy,Cardiovascular,4.8,12.2,1.18,19-35,Female,436327,80.72,2.52,4.72,Surgery,29452.0,Yes,56.19,2354.0,0.94,59095.0,0.51,24.38 +34157,UK,2016,Parkinson's Disease,Respiratory,9.19,6.09,7.63,61+,Male,152974,57.85,3.49,7.22,Medication,49705.0,No,66.34,3784.0,4.74,99209.0,0.78,56.87 +34159,Indonesia,2015,Cancer,Metabolic,18.65,8.91,5.62,0-18,Male,71040,55.7,1.3,5.21,Therapy,42992.0,No,64.27,2405.0,4.76,92846.0,0.5,21.87 +34162,Canada,2012,COVID-19,Chronic,1.47,2.79,6.28,36-60,Male,985363,87.76,4.03,7.73,Medication,31626.0,No,68.81,2146.0,1.58,27846.0,0.88,77.33 +34167,Russia,2014,Diabetes,Autoimmune,7.22,2.81,0.35,19-35,Other,831872,96.14,2.85,2.02,Vaccination,12904.0,No,85.8,267.0,7.06,13593.0,0.76,30.5 +34170,Turkey,2005,Leprosy,Bacterial,6.61,15.0,4.08,36-60,Male,110224,71.49,4.16,7.73,Therapy,21285.0,Yes,56.75,2612.0,7.7,43149.0,0.61,71.57 +34172,Brazil,2023,Alzheimer's Disease,Respiratory,8.37,7.1,1.27,0-18,Male,100686,55.45,0.73,5.05,Medication,11301.0,Yes,95.96,4029.0,3.78,34996.0,0.58,30.47 +34176,India,2024,Polio,Viral,12.05,14.28,0.97,19-35,Male,68388,68.01,4.85,6.92,Medication,43298.0,Yes,83.71,4140.0,2.28,91236.0,0.6,71.0 +34178,Australia,2005,Diabetes,Viral,13.23,6.18,4.63,61+,Female,334823,66.56,0.6,9.12,Medication,14114.0,Yes,73.89,4413.0,5.46,99169.0,0.6,69.24 +34181,India,2020,Alzheimer's Disease,Neurological,4.94,13.77,2.4,19-35,Female,180580,53.89,1.65,6.34,Medication,48035.0,No,84.22,2977.0,1.71,39190.0,0.51,25.46 +34183,Italy,2009,Cancer,Viral,5.8,1.8,2.59,19-35,Female,405432,56.52,0.56,6.54,Therapy,32143.0,No,93.82,1484.0,0.37,20038.0,0.88,53.41 +34186,Saudi Arabia,2008,Alzheimer's Disease,Parasitic,13.85,6.37,0.3,19-35,Other,700901,63.01,0.54,7.73,Vaccination,243.0,No,97.93,1297.0,0.11,54102.0,0.89,62.15 +34192,UK,2002,Malaria,Cardiovascular,17.0,11.98,7.52,0-18,Male,721228,90.28,1.12,7.63,Vaccination,6427.0,No,94.14,1409.0,7.87,65774.0,0.52,39.58 +34197,South Korea,2001,Ebola,Chronic,11.18,3.65,3.54,19-35,Female,61920,81.44,4.66,5.79,Therapy,33170.0,Yes,87.47,1049.0,9.57,20473.0,0.41,84.49 +34209,Nigeria,2011,Influenza,Viral,1.21,10.67,3.14,61+,Male,632864,92.77,0.97,0.8,Medication,44145.0,Yes,82.69,4655.0,7.11,84180.0,0.8,54.02 +34213,UK,2001,COVID-19,Neurological,1.09,12.16,0.19,61+,Female,272849,65.21,2.34,8.61,Therapy,36723.0,No,50.92,1422.0,2.63,10538.0,0.88,70.75 +34214,Italy,2003,Tuberculosis,Respiratory,14.88,13.98,0.94,36-60,Female,300563,65.58,0.91,6.65,Surgery,45558.0,Yes,70.59,3023.0,5.67,76026.0,0.45,24.6 +34225,Saudi Arabia,2024,Influenza,Autoimmune,5.34,11.17,2.47,19-35,Female,102562,92.4,0.69,6.69,Vaccination,40351.0,Yes,74.08,1141.0,3.48,58343.0,0.62,68.17 +34227,Canada,2007,Zika,Bacterial,6.26,13.26,4.63,36-60,Male,107412,68.05,3.12,1.45,Surgery,9559.0,No,57.14,1280.0,8.66,46728.0,0.57,77.43 +34229,South Africa,2011,Hepatitis,Bacterial,2.33,8.21,0.5,0-18,Female,540981,64.66,1.45,9.93,Therapy,5898.0,No,75.38,4269.0,9.72,78019.0,0.54,89.82 +34230,Nigeria,2004,HIV/AIDS,Genetic,0.68,10.49,6.91,36-60,Other,937157,55.8,2.85,2.8,Surgery,19731.0,No,96.01,2147.0,9.38,95720.0,0.75,84.76 +34247,Indonesia,2019,Cholera,Genetic,2.12,4.22,7.84,0-18,Female,209159,84.26,1.38,6.93,Therapy,29139.0,No,58.56,2167.0,9.62,64333.0,0.53,36.62 +34250,Nigeria,2007,Ebola,Respiratory,7.59,6.57,4.6,61+,Male,395501,82.03,4.49,1.63,Vaccination,26274.0,No,67.16,4033.0,0.31,79111.0,0.64,61.21 +34251,Mexico,2009,Measles,Cardiovascular,8.24,7.46,4.06,61+,Female,165421,64.69,1.09,8.08,Surgery,47852.0,No,67.85,1652.0,8.04,1853.0,0.51,23.07 +34252,Italy,2009,Hypertension,Neurological,17.17,7.61,7.72,0-18,Male,799527,72.42,2.46,9.45,Vaccination,2546.0,Yes,68.16,4361.0,1.57,98625.0,0.77,53.07 +34256,France,2023,Asthma,Infectious,1.47,5.33,5.54,0-18,Other,724831,97.92,3.58,2.88,Surgery,38039.0,Yes,55.83,3183.0,6.05,55419.0,0.47,64.33 +34262,Saudi Arabia,2007,Diabetes,Chronic,19.87,11.07,7.34,19-35,Male,85325,83.79,3.22,5.53,Vaccination,30101.0,Yes,64.83,3157.0,8.01,25429.0,0.64,46.91 +34267,China,2023,Alzheimer's Disease,Neurological,4.32,5.26,6.43,36-60,Female,549050,52.56,4.52,2.0,Surgery,1159.0,Yes,84.5,4244.0,0.28,17018.0,0.54,59.76 +34282,Australia,2023,Hepatitis,Viral,11.81,2.13,2.93,61+,Female,226636,92.9,1.14,5.36,Surgery,37782.0,No,86.52,2926.0,0.31,28336.0,0.47,72.26 +34286,France,2024,Asthma,Genetic,12.51,1.46,0.54,36-60,Other,400961,98.14,1.4,5.54,Medication,32551.0,No,72.83,390.0,4.72,63319.0,0.63,32.09 +34287,Turkey,2024,Hypertension,Metabolic,17.31,12.36,5.68,19-35,Male,687226,74.48,4.46,7.4,Surgery,5463.0,No,95.2,2906.0,5.8,35380.0,0.54,26.41 +34296,Turkey,2012,Polio,Neurological,4.14,7.37,6.7,36-60,Female,762953,70.85,1.91,3.8,Medication,44890.0,No,63.83,2257.0,7.58,84341.0,0.65,33.75 +34297,UK,2006,Measles,Respiratory,8.18,1.42,9.7,19-35,Male,701841,98.83,3.04,2.07,Medication,43115.0,Yes,85.48,1885.0,8.64,24918.0,0.45,27.07 +34310,Argentina,2002,Zika,Respiratory,12.57,8.81,5.43,19-35,Female,878671,91.26,2.13,5.52,Surgery,46308.0,No,57.28,3817.0,0.64,39953.0,0.58,57.31 +34312,Mexico,2001,Measles,Neurological,17.67,14.73,8.38,19-35,Female,372861,78.57,2.34,5.01,Therapy,48773.0,Yes,62.68,4558.0,1.15,17503.0,0.63,32.32 +34315,Germany,2017,COVID-19,Respiratory,15.67,8.03,8.67,36-60,Female,455905,97.47,0.73,8.35,Medication,16138.0,No,66.79,2901.0,7.36,82429.0,0.85,76.24 +34316,Turkey,2004,Cancer,Metabolic,18.05,2.34,5.23,61+,Other,852401,84.74,1.34,0.98,Surgery,32700.0,No,61.32,637.0,9.46,91477.0,0.76,60.97 +34320,USA,2004,Measles,Autoimmune,17.41,12.87,1.67,61+,Male,857326,86.73,3.67,7.84,Medication,29032.0,Yes,73.5,1607.0,0.58,72347.0,0.56,48.91 +34326,Germany,2018,Cancer,Respiratory,3.86,6.91,7.93,61+,Male,248287,73.21,1.35,1.8,Vaccination,19406.0,No,64.91,2477.0,1.99,78660.0,0.76,88.05 +34329,South Africa,2016,Polio,Genetic,17.43,1.92,0.45,36-60,Other,96197,58.64,1.55,6.37,Medication,19847.0,No,54.71,50.0,4.61,15021.0,0.59,36.96 +34331,Italy,2010,Cholera,Chronic,19.05,7.06,3.12,61+,Male,41350,60.49,4.97,9.12,Medication,13997.0,Yes,88.82,4491.0,3.12,65216.0,0.67,51.65 +34332,South Africa,2003,Asthma,Viral,5.87,2.18,7.74,0-18,Other,976111,69.11,0.9,6.5,Vaccination,11162.0,Yes,91.23,241.0,6.53,10127.0,0.54,32.93 +34343,Canada,2003,COVID-19,Genetic,4.03,2.78,4.75,61+,Male,94512,80.83,1.28,1.15,Medication,47181.0,No,73.72,4875.0,2.15,10315.0,0.64,55.09 +34349,Canada,2002,Malaria,Metabolic,13.97,11.98,1.35,0-18,Other,953461,58.69,4.35,5.17,Vaccination,34657.0,Yes,85.54,2242.0,2.07,31599.0,0.41,30.01 +34350,Italy,2020,Rabies,Viral,13.89,9.13,5.7,61+,Other,362755,56.84,4.84,9.35,Surgery,20238.0,No,67.94,2077.0,2.78,43585.0,0.68,46.66 +34354,Germany,2006,Influenza,Genetic,2.12,5.99,1.17,0-18,Female,505898,90.22,2.01,5.35,Medication,2883.0,No,92.93,614.0,2.24,12246.0,0.84,33.99 +34366,Germany,2002,Dengue,Autoimmune,19.39,9.41,1.32,19-35,Female,816348,54.42,1.32,5.89,Therapy,47846.0,Yes,70.1,2456.0,0.7,81795.0,0.59,71.03 +34377,Russia,2024,Rabies,Autoimmune,2.32,3.07,2.89,61+,Other,661602,69.73,1.13,5.72,Medication,40897.0,Yes,75.35,869.0,8.27,9233.0,0.87,21.91 +34380,France,2001,Dengue,Autoimmune,0.54,12.4,2.77,36-60,Other,854059,81.73,1.94,9.8,Medication,29589.0,Yes,67.36,4434.0,6.62,45506.0,0.54,84.61 +34382,Turkey,2007,Cancer,Viral,3.08,8.76,0.45,0-18,Male,768810,71.17,0.79,3.22,Medication,17829.0,No,98.55,946.0,8.44,88973.0,0.7,77.5 +34389,Argentina,2012,Ebola,Metabolic,6.75,8.26,1.13,0-18,Male,724719,72.49,3.69,5.3,Vaccination,29883.0,No,51.2,1999.0,4.48,50513.0,0.52,68.42 +34395,Canada,2010,Polio,Chronic,9.02,9.28,2.56,61+,Other,877412,60.72,2.47,2.36,Vaccination,39868.0,No,53.55,1713.0,0.72,51280.0,0.74,73.0 +34399,Brazil,2009,Measles,Chronic,7.64,10.87,6.57,61+,Other,311804,82.98,2.23,6.84,Therapy,16383.0,Yes,61.06,4958.0,6.49,64319.0,0.76,72.85 +34403,Germany,2010,Alzheimer's Disease,Parasitic,9.74,6.67,7.72,0-18,Female,232387,67.57,1.4,0.96,Surgery,7333.0,No,58.26,4298.0,5.09,95641.0,0.88,44.01 +34410,Germany,2005,Leprosy,Metabolic,12.65,2.17,8.48,61+,Other,981394,91.5,1.8,7.42,Surgery,734.0,Yes,78.79,1391.0,4.88,3885.0,0.47,57.42 +34412,Indonesia,2005,Dengue,Parasitic,9.11,10.59,3.18,36-60,Female,92267,64.76,1.97,2.94,Therapy,38052.0,No,98.8,3344.0,9.56,90129.0,0.61,73.91 +34417,Canada,2018,Asthma,Genetic,3.98,8.82,7.89,0-18,Female,870604,80.19,4.83,4.2,Medication,3702.0,Yes,93.2,932.0,3.5,1950.0,0.8,75.61 +34423,UK,2008,Hepatitis,Autoimmune,8.96,12.76,7.4,61+,Other,367559,67.79,3.54,5.87,Medication,49715.0,No,97.22,4258.0,7.52,92533.0,0.73,30.34 +34444,South Korea,2024,Polio,Metabolic,16.76,2.52,7.51,0-18,Male,439526,96.27,3.56,0.61,Therapy,35481.0,Yes,59.82,1768.0,7.12,77843.0,0.45,88.52 +34449,Germany,2015,Parkinson's Disease,Viral,17.68,11.5,0.93,19-35,Female,49140,64.66,2.02,5.45,Surgery,46434.0,Yes,60.63,1205.0,7.84,45769.0,0.79,81.97 +34450,Mexico,2002,Influenza,Neurological,7.35,13.97,5.99,19-35,Female,299125,79.84,2.39,4.95,Surgery,4969.0,No,87.58,4231.0,5.38,82446.0,0.8,81.01 +34459,Brazil,2005,Ebola,Parasitic,14.22,0.96,1.16,61+,Other,857197,86.05,0.74,6.43,Medication,26370.0,Yes,66.78,3966.0,8.89,4000.0,0.69,76.2 +34479,India,2017,Dengue,Cardiovascular,10.88,2.9,9.18,36-60,Female,285558,78.96,1.53,2.43,Surgery,26047.0,No,96.43,629.0,5.15,3855.0,0.51,40.38 +34481,Canada,2011,Malaria,Neurological,13.62,10.28,9.79,0-18,Male,49646,83.65,2.67,3.6,Vaccination,1960.0,Yes,79.54,445.0,5.78,52090.0,0.59,76.86 +34489,France,2012,Tuberculosis,Bacterial,2.37,7.13,6.71,0-18,Male,499511,50.72,1.91,3.74,Medication,42413.0,No,62.75,4362.0,2.42,95453.0,0.85,64.29 +34490,China,2008,Hepatitis,Viral,18.99,5.95,3.26,61+,Female,623984,79.7,4.34,3.04,Therapy,40063.0,Yes,80.95,331.0,2.77,54747.0,0.74,58.13 +34492,Japan,2004,Cancer,Genetic,2.54,11.84,6.34,61+,Male,727646,64.83,3.02,3.23,Therapy,11758.0,No,66.33,3169.0,9.12,64346.0,0.47,30.83 +34494,Russia,2017,Polio,Respiratory,7.2,4.66,5.66,19-35,Other,293032,86.04,2.86,6.35,Surgery,3424.0,Yes,59.06,1706.0,0.85,41906.0,0.75,38.55 +34495,Turkey,2013,Leprosy,Cardiovascular,18.68,12.54,8.68,36-60,Female,768926,94.1,2.74,8.22,Medication,18831.0,Yes,54.87,2848.0,3.01,19281.0,0.45,38.87 +34500,Indonesia,2015,Malaria,Viral,12.85,5.2,7.01,19-35,Male,287718,75.53,3.77,9.26,Vaccination,20999.0,No,50.53,83.0,7.34,36412.0,0.57,43.6 +34504,Saudi Arabia,2012,Leprosy,Viral,7.41,2.96,9.4,61+,Female,726039,58.78,1.46,9.47,Medication,48114.0,No,91.24,1113.0,5.08,34495.0,0.79,20.61 +34505,India,2012,Malaria,Genetic,15.99,14.96,8.05,61+,Female,177050,96.62,4.86,5.75,Medication,18262.0,No,63.23,4656.0,4.25,80766.0,0.88,48.96 +34510,USA,2023,Rabies,Cardiovascular,10.13,13.78,8.75,36-60,Other,727961,64.24,0.89,8.23,Medication,33520.0,Yes,88.7,2507.0,4.76,83336.0,0.8,54.92 +34511,Russia,2024,Asthma,Parasitic,10.3,6.12,6.26,61+,Other,901043,55.99,4.53,2.27,Medication,48356.0,No,96.81,2141.0,7.95,31358.0,0.73,89.69 +34514,South Africa,2018,Leprosy,Respiratory,16.02,0.81,1.27,61+,Other,288479,57.26,4.73,8.43,Vaccination,47580.0,No,90.37,2429.0,0.77,35880.0,0.84,27.48 +34516,India,2010,Diabetes,Metabolic,4.77,1.59,5.72,61+,Female,833914,88.51,1.9,8.05,Medication,42269.0,No,96.52,492.0,5.72,64416.0,0.68,63.5 +34520,Mexico,2005,Diabetes,Infectious,13.18,14.62,6.6,19-35,Male,537567,63.28,3.36,3.8,Therapy,27387.0,Yes,52.74,894.0,7.83,54191.0,0.76,77.25 +34522,South Korea,2009,HIV/AIDS,Genetic,10.48,11.73,2.87,61+,Female,297231,55.83,1.31,9.59,Vaccination,48934.0,No,81.84,1901.0,0.14,71562.0,0.54,29.18 +34523,Mexico,2005,Zika,Chronic,7.05,7.31,3.08,61+,Other,742851,63.58,0.94,3.0,Surgery,5435.0,No,81.33,4909.0,2.83,37165.0,0.44,25.33 +34530,Russia,2021,Hepatitis,Genetic,1.95,11.6,1.71,61+,Other,891866,50.59,1.17,4.18,Therapy,30449.0,No,95.98,3160.0,1.89,84678.0,0.64,65.36 +34532,Russia,2021,Hypertension,Respiratory,0.18,0.47,2.05,36-60,Other,352093,56.63,4.15,9.33,Vaccination,25954.0,No,60.32,2441.0,8.29,78921.0,0.63,72.79 +34536,Indonesia,2018,Alzheimer's Disease,Neurological,4.93,4.09,7.01,19-35,Male,835219,74.81,3.17,8.61,Medication,27811.0,Yes,66.27,2568.0,6.89,33482.0,0.47,34.39 +34544,Germany,2024,Leprosy,Bacterial,16.19,6.45,0.96,61+,Male,394714,58.11,0.51,4.5,Therapy,35985.0,Yes,86.81,104.0,9.21,94174.0,0.49,52.94 +34547,South Africa,2016,Parkinson's Disease,Metabolic,5.51,11.15,3.57,36-60,Male,321702,68.09,0.86,6.39,Therapy,3539.0,Yes,73.81,380.0,5.62,34208.0,0.48,52.63 +34548,USA,2018,Hypertension,Metabolic,16.07,12.71,5.86,36-60,Female,674221,92.94,2.83,6.29,Vaccination,48134.0,Yes,67.31,500.0,5.86,57700.0,0.66,43.53 +34553,Australia,2010,Parkinson's Disease,Parasitic,13.56,11.22,8.78,19-35,Female,834567,72.16,1.17,9.67,Vaccination,44966.0,Yes,90.68,1726.0,8.97,3362.0,0.82,76.04 +34555,Russia,2011,Cancer,Viral,16.25,14.08,4.98,19-35,Other,385509,67.32,3.28,1.5,Vaccination,43691.0,Yes,71.23,3368.0,5.32,14754.0,0.67,81.29 +34561,Saudi Arabia,2013,Leprosy,Chronic,3.07,2.95,8.47,36-60,Other,486261,62.12,3.27,8.68,Medication,12903.0,Yes,85.59,2757.0,8.63,4801.0,0.86,77.51 +34568,Turkey,2013,Leprosy,Metabolic,7.73,13.49,2.84,19-35,Female,116842,94.19,2.48,6.08,Vaccination,19227.0,No,93.46,925.0,9.75,19752.0,0.58,34.35 +34571,Nigeria,2023,Asthma,Parasitic,3.45,6.62,0.14,36-60,Female,911218,70.04,3.66,1.79,Vaccination,31439.0,No,81.77,2065.0,1.53,1876.0,0.87,53.61 +34574,Nigeria,2022,Tuberculosis,Autoimmune,16.43,2.29,0.17,0-18,Male,714237,82.26,0.79,6.97,Therapy,22275.0,No,95.27,2594.0,9.67,44155.0,0.7,85.02 +34579,Nigeria,2004,Zika,Cardiovascular,13.12,11.83,6.1,19-35,Female,372039,99.13,2.94,6.43,Surgery,37911.0,No,54.33,2766.0,8.83,67782.0,0.43,61.96 +34580,Russia,2020,Hypertension,Autoimmune,9.64,2.06,0.13,36-60,Female,752530,51.91,0.77,7.4,Medication,44900.0,No,75.94,4483.0,5.43,82833.0,0.89,25.42 +34587,Russia,2012,Zika,Bacterial,17.09,6.98,5.72,19-35,Male,403555,80.53,1.46,5.4,Medication,41118.0,No,77.28,4841.0,1.46,25287.0,0.47,51.53 +34588,Germany,2019,Alzheimer's Disease,Genetic,1.75,0.57,8.68,0-18,Male,44851,88.14,4.32,1.8,Vaccination,22128.0,Yes,74.86,4827.0,2.21,42817.0,0.59,66.71 +34589,Turkey,2011,Parkinson's Disease,Chronic,18.89,9.83,7.9,61+,Other,223892,75.13,1.01,6.83,Vaccination,13514.0,Yes,74.8,3204.0,6.93,93534.0,0.69,65.08 +34591,Indonesia,2007,Asthma,Neurological,1.67,5.87,9.64,0-18,Other,513971,93.53,4.87,9.51,Therapy,13564.0,No,81.01,1046.0,1.61,77388.0,0.79,67.61 +34594,Italy,2016,Cholera,Autoimmune,17.67,5.18,8.92,19-35,Female,605973,71.54,3.27,6.34,Medication,18364.0,Yes,77.94,3564.0,7.77,22629.0,0.45,29.41 +34599,India,2000,Malaria,Infectious,8.79,1.76,7.44,61+,Male,74536,64.77,2.02,5.82,Vaccination,16576.0,Yes,67.23,3596.0,0.06,97260.0,0.57,79.08 +34603,Nigeria,2012,Cholera,Parasitic,7.33,9.04,0.12,36-60,Other,16667,56.68,3.66,3.09,Medication,21497.0,No,87.49,375.0,9.47,18640.0,0.6,34.52 +34604,Germany,2010,COVID-19,Bacterial,14.9,7.99,8.92,36-60,Male,647438,68.39,2.12,3.34,Therapy,20515.0,No,97.46,2590.0,9.69,16397.0,0.58,20.24 +34619,Brazil,2003,HIV/AIDS,Infectious,5.64,2.44,6.51,19-35,Male,228985,81.78,1.92,1.07,Medication,11339.0,Yes,76.41,2810.0,3.61,44250.0,0.43,24.06 +34626,South Africa,2012,Polio,Bacterial,12.82,3.53,8.92,36-60,Female,572043,88.28,3.82,6.52,Medication,48904.0,Yes,96.98,3197.0,4.76,88084.0,0.75,88.03 +34631,India,2008,Leprosy,Parasitic,10.55,9.99,9.27,19-35,Female,458971,59.69,2.08,9.24,Medication,48480.0,Yes,94.8,1792.0,9.64,87386.0,0.68,88.8 +34646,China,2002,Asthma,Parasitic,18.38,1.53,5.36,36-60,Male,192416,77.01,2.92,6.83,Vaccination,37985.0,No,56.85,4246.0,0.38,67398.0,0.43,73.48 +34655,China,2022,Cholera,Metabolic,10.38,9.39,9.95,0-18,Male,606038,70.75,3.16,4.59,Surgery,25166.0,Yes,75.8,1203.0,1.69,9081.0,0.89,75.3 +34660,Saudi Arabia,2010,Hepatitis,Metabolic,7.4,11.66,1.66,0-18,Male,567209,63.64,4.8,9.72,Medication,13754.0,No,76.49,4212.0,6.98,84423.0,0.72,62.61 +34664,Brazil,2021,Cancer,Respiratory,10.94,4.98,4.29,61+,Female,473811,60.39,2.72,0.93,Vaccination,43577.0,No,54.34,2031.0,2.54,74424.0,0.67,46.87 +34674,Nigeria,2011,Ebola,Viral,1.5,14.45,2.5,0-18,Female,68827,82.98,3.22,8.36,Medication,35198.0,No,90.99,664.0,0.48,78630.0,0.66,41.55 +34685,UK,2002,Diabetes,Autoimmune,18.67,3.67,5.06,0-18,Female,50531,84.46,1.94,4.62,Vaccination,18808.0,No,85.8,2713.0,6.44,89748.0,0.61,56.98 +34690,Nigeria,2009,Hepatitis,Cardiovascular,0.56,9.15,1.29,19-35,Male,346648,59.31,4.19,2.24,Medication,25596.0,Yes,66.22,2184.0,5.86,61315.0,0.68,53.1 +34696,Canada,2009,Asthma,Cardiovascular,5.96,7.34,0.18,0-18,Female,384390,96.79,3.05,7.5,Vaccination,49891.0,Yes,91.84,4232.0,7.66,32516.0,0.6,52.46 +34698,USA,2003,Leprosy,Metabolic,18.74,12.04,6.9,61+,Other,593084,62.47,1.76,0.84,Medication,30666.0,Yes,67.08,4589.0,1.83,60866.0,0.44,85.54 +34700,Saudi Arabia,2020,Alzheimer's Disease,Neurological,6.1,11.68,3.99,19-35,Male,204566,98.93,4.23,6.31,Therapy,35398.0,No,85.35,1072.0,0.96,86027.0,0.59,75.05 +34710,Japan,2014,Hepatitis,Genetic,10.52,4.65,3.0,0-18,Male,892625,72.62,0.99,5.63,Surgery,44705.0,No,89.82,1316.0,5.36,11908.0,0.77,30.75 +34711,Russia,2004,Asthma,Viral,15.31,9.28,2.97,0-18,Other,47294,77.37,4.65,1.67,Vaccination,42951.0,Yes,97.02,3695.0,0.36,25405.0,0.69,85.45 +34714,Argentina,2018,Parkinson's Disease,Infectious,16.01,12.56,0.48,61+,Female,132546,89.55,3.51,9.52,Surgery,27826.0,Yes,63.91,3707.0,2.89,32015.0,0.79,48.75 +34716,Nigeria,2009,Diabetes,Autoimmune,2.41,11.92,6.11,61+,Female,294998,53.74,1.52,5.44,Therapy,7218.0,Yes,81.44,2960.0,0.28,36387.0,0.43,72.87 +34719,South Africa,2013,Leprosy,Chronic,13.59,13.85,5.14,61+,Other,867292,79.94,2.48,5.62,Vaccination,25102.0,No,68.79,1602.0,8.51,4402.0,0.51,24.81 +34725,Russia,2013,Influenza,Metabolic,1.41,3.91,9.63,36-60,Other,254934,69.33,0.66,5.4,Vaccination,44055.0,Yes,88.99,4412.0,6.34,45567.0,0.63,33.55 +34736,Mexico,2024,Tuberculosis,Neurological,3.08,9.58,5.13,36-60,Other,251945,61.84,1.43,3.91,Therapy,2744.0,No,72.39,1256.0,8.33,76573.0,0.81,43.35 +34745,India,2021,Hepatitis,Autoimmune,0.17,3.93,3.62,36-60,Female,832085,71.63,3.23,6.92,Medication,24840.0,Yes,75.88,1165.0,3.7,53505.0,0.75,66.87 +34749,India,2011,HIV/AIDS,Metabolic,1.92,4.69,2.8,61+,Female,315983,84.24,4.64,9.99,Surgery,3817.0,Yes,94.45,1920.0,4.36,65622.0,0.57,23.67 +34757,Turkey,2021,Ebola,Bacterial,19.33,0.55,4.76,61+,Male,551081,78.04,4.96,4.75,Therapy,20527.0,Yes,72.28,3493.0,2.9,62706.0,0.66,47.57 +34759,South Korea,2006,Cholera,Metabolic,18.09,8.0,6.75,61+,Female,12754,69.81,4.31,4.21,Medication,34382.0,No,84.35,1793.0,5.63,91546.0,0.56,38.25 +34760,Argentina,2019,Zika,Parasitic,17.57,14.17,1.57,0-18,Other,772613,79.05,0.69,0.52,Surgery,16067.0,No,61.87,545.0,6.06,47627.0,0.67,35.36 +34761,China,2010,Malaria,Parasitic,0.5,3.72,0.23,36-60,Male,732800,53.72,4.61,8.07,Therapy,2761.0,Yes,86.52,3835.0,5.9,32921.0,0.56,56.94 +34766,India,2022,Cancer,Neurological,18.96,4.29,6.11,19-35,Other,246726,57.46,4.89,3.29,Surgery,38366.0,Yes,84.26,4890.0,5.51,18256.0,0.8,76.41 +34769,Germany,2011,Zika,Bacterial,16.63,13.91,9.74,61+,Other,423065,99.25,2.06,9.78,Surgery,1425.0,Yes,52.05,297.0,3.94,55445.0,0.56,37.96 +34772,Japan,2001,Alzheimer's Disease,Metabolic,7.85,6.29,7.11,0-18,Female,834834,87.21,3.35,8.52,Vaccination,6113.0,No,90.17,4718.0,4.75,86091.0,0.62,53.98 +34774,Italy,2024,Cancer,Bacterial,6.27,10.78,5.66,19-35,Female,33970,59.01,1.38,6.88,Therapy,32344.0,Yes,63.33,899.0,8.92,25353.0,0.67,62.24 +34778,Argentina,2013,HIV/AIDS,Chronic,1.18,6.36,6.66,0-18,Female,977225,63.31,3.92,2.46,Vaccination,41925.0,No,53.75,1904.0,4.72,9388.0,0.82,65.0 +34782,South Korea,2003,Hypertension,Metabolic,7.2,4.52,9.02,19-35,Female,553329,57.22,2.93,1.69,Surgery,28067.0,No,90.52,4372.0,6.11,76845.0,0.54,61.97 +34788,India,2001,Cholera,Cardiovascular,0.74,3.27,6.39,19-35,Male,480473,98.3,3.1,9.15,Medication,35285.0,Yes,96.63,4899.0,2.14,15946.0,0.79,30.0 +34809,South Korea,2015,Dengue,Chronic,13.75,3.21,2.44,0-18,Other,443905,57.68,0.93,7.77,Vaccination,37900.0,No,89.18,1299.0,6.22,2569.0,0.53,83.04 +34812,Brazil,2009,Ebola,Viral,3.1,6.51,9.47,61+,Female,778314,82.52,3.29,2.65,Vaccination,38933.0,Yes,78.97,362.0,9.06,6645.0,0.53,76.31 +34834,Indonesia,2024,Tuberculosis,Chronic,18.63,2.43,9.84,19-35,Other,497428,53.58,4.81,4.77,Vaccination,2711.0,No,68.1,401.0,7.76,27651.0,0.88,75.68 +34838,Australia,2009,COVID-19,Autoimmune,3.58,1.05,5.68,0-18,Male,962635,58.54,4.69,5.73,Vaccination,37741.0,No,95.03,1854.0,7.89,95484.0,0.8,82.99 +34839,Nigeria,2020,Influenza,Autoimmune,6.45,13.73,3.9,36-60,Male,672247,92.95,4.7,5.93,Vaccination,8683.0,No,82.24,414.0,2.63,19192.0,0.51,28.21 +34846,USA,2017,Asthma,Chronic,15.36,7.17,6.15,36-60,Other,901611,58.16,0.86,2.12,Therapy,9415.0,Yes,65.55,2180.0,0.74,90231.0,0.67,45.61 +34851,France,2002,HIV/AIDS,Autoimmune,19.66,11.18,2.9,36-60,Other,240776,75.24,0.67,4.11,Surgery,1367.0,No,53.58,3428.0,6.9,24639.0,0.63,73.47 +34856,Canada,2008,Parkinson's Disease,Genetic,11.7,14.41,4.26,36-60,Male,246775,85.96,4.15,9.01,Vaccination,9646.0,No,72.52,429.0,5.73,17086.0,0.58,80.89 +34862,India,2002,Cancer,Metabolic,10.05,9.92,7.36,0-18,Male,557580,94.97,2.46,2.6,Vaccination,26343.0,No,91.31,285.0,8.4,67995.0,0.76,43.37 +34864,Argentina,2003,Zika,Neurological,14.79,9.58,7.23,0-18,Other,627162,52.39,3.1,8.71,Medication,4025.0,No,50.43,3576.0,2.45,50073.0,0.58,48.31 +34865,Turkey,2016,Measles,Genetic,10.3,13.63,7.49,61+,Other,880068,87.63,1.99,8.89,Medication,25765.0,Yes,72.71,3080.0,3.19,18705.0,0.76,22.42 +34873,Mexico,2021,Tuberculosis,Genetic,8.67,4.03,1.74,0-18,Other,94974,62.3,2.47,3.66,Therapy,27427.0,No,70.28,3708.0,0.77,60914.0,0.68,80.88 +34875,Turkey,2002,Zika,Respiratory,18.79,5.21,4.49,19-35,Male,899953,83.13,2.7,0.93,Vaccination,1544.0,Yes,53.29,579.0,6.39,36357.0,0.44,66.83 +34879,South Africa,2024,Diabetes,Neurological,11.78,8.19,4.05,36-60,Other,728289,84.86,3.59,4.54,Medication,47584.0,No,76.18,4248.0,7.62,68288.0,0.68,35.33 +34881,Russia,2022,Parkinson's Disease,Infectious,1.39,10.42,9.65,36-60,Female,676314,74.18,1.89,1.58,Vaccination,15009.0,Yes,95.29,1365.0,1.97,25725.0,0.61,88.26 +34899,Brazil,2003,Polio,Genetic,4.24,14.64,7.54,36-60,Female,837102,77.03,4.8,8.64,Therapy,9041.0,Yes,98.73,3238.0,6.7,18476.0,0.71,70.24 +34902,Russia,2013,COVID-19,Respiratory,19.6,11.53,5.46,36-60,Male,106834,78.37,4.12,0.76,Medication,15013.0,Yes,93.3,1833.0,8.41,48564.0,0.63,62.18 +34905,Italy,2009,Asthma,Parasitic,4.62,3.74,9.55,0-18,Female,618525,66.34,4.16,4.68,Surgery,30287.0,Yes,69.39,4527.0,1.18,66752.0,0.8,86.15 +34907,Brazil,2009,Cholera,Bacterial,7.49,3.17,8.34,61+,Female,182534,70.32,3.4,1.03,Medication,16819.0,Yes,80.35,722.0,9.23,33079.0,0.84,86.21 +34908,China,2020,Leprosy,Chronic,7.25,2.03,9.16,0-18,Male,477249,94.55,1.4,8.44,Medication,49128.0,No,89.47,44.0,0.21,63550.0,0.67,73.62 +34909,UK,2000,Zika,Genetic,0.88,8.42,4.55,19-35,Other,263652,93.05,3.85,8.57,Medication,9439.0,No,85.59,3812.0,2.11,14676.0,0.61,65.72 +34915,Mexico,2000,Hypertension,Cardiovascular,10.05,2.02,3.13,0-18,Other,549504,71.34,1.06,9.38,Vaccination,17482.0,Yes,76.74,1834.0,5.29,1067.0,0.84,51.53 +34925,Australia,2013,Parkinson's Disease,Respiratory,19.97,4.06,9.43,36-60,Other,642272,63.22,2.77,3.1,Vaccination,2951.0,No,84.92,61.0,9.11,40118.0,0.47,88.51 +34927,Turkey,2020,Diabetes,Respiratory,1.59,7.06,0.67,61+,Male,999629,66.36,3.96,9.59,Therapy,47358.0,No,83.71,731.0,5.12,6497.0,0.76,59.88 +34930,Australia,2021,Leprosy,Autoimmune,8.54,13.99,8.93,19-35,Other,898584,69.31,3.43,6.38,Medication,33771.0,No,90.38,1257.0,1.67,59172.0,0.84,44.4 +34942,Saudi Arabia,2001,Polio,Metabolic,10.44,1.39,8.51,19-35,Male,600014,53.59,3.6,1.39,Therapy,17677.0,Yes,89.57,3312.0,3.5,13277.0,0.54,63.78 +34947,UK,2014,Asthma,Neurological,9.78,14.96,8.1,36-60,Other,685823,92.8,4.32,9.34,Medication,47472.0,No,94.92,4753.0,6.61,95755.0,0.66,89.5 +34951,Saudi Arabia,2005,Zika,Respiratory,0.66,9.05,5.3,61+,Male,71195,91.48,3.21,2.33,Therapy,732.0,Yes,64.07,2890.0,1.52,89977.0,0.51,62.54 +34960,UK,2017,Diabetes,Respiratory,11.85,14.49,3.27,19-35,Other,76985,72.85,4.74,4.18,Medication,44314.0,No,89.45,2315.0,4.39,85095.0,0.66,68.25 +34962,Germany,2006,COVID-19,Genetic,13.07,0.32,9.79,19-35,Female,819334,82.77,0.71,3.3,Surgery,7845.0,Yes,58.62,1601.0,5.73,94706.0,0.55,28.96 +34966,Brazil,2000,Cholera,Infectious,17.9,4.69,8.94,0-18,Female,204558,76.97,0.71,5.67,Medication,41110.0,Yes,88.01,67.0,5.57,76720.0,0.46,80.78 +34981,Japan,2006,Hypertension,Neurological,19.55,5.27,8.63,61+,Other,553282,75.36,2.84,1.48,Vaccination,16287.0,Yes,77.98,335.0,3.84,16997.0,0.54,35.96 +34983,Indonesia,2009,Parkinson's Disease,Chronic,10.09,3.93,6.3,61+,Male,644357,63.95,2.0,9.13,Vaccination,31844.0,Yes,82.27,1166.0,3.33,6107.0,0.65,82.78 +34986,Japan,2022,Alzheimer's Disease,Bacterial,3.08,11.88,3.58,61+,Female,728288,99.16,4.98,6.15,Therapy,14112.0,No,59.53,4079.0,8.01,62643.0,0.59,38.17 +34987,Brazil,2003,Asthma,Infectious,16.11,0.99,6.54,19-35,Male,537025,98.98,3.08,2.07,Therapy,857.0,No,82.52,1078.0,4.32,73936.0,0.43,22.85 +34997,Turkey,2003,Polio,Infectious,4.21,3.82,9.66,36-60,Female,898592,67.74,4.86,7.58,Therapy,38850.0,Yes,66.69,3204.0,0.46,10577.0,0.63,36.38 +35008,Argentina,2003,Rabies,Cardiovascular,15.72,9.56,9.39,19-35,Female,672856,61.21,0.77,2.71,Vaccination,17780.0,No,50.72,1634.0,6.69,7301.0,0.45,48.16 +35009,India,2019,Asthma,Genetic,7.68,10.78,2.98,0-18,Male,88555,70.27,1.26,5.03,Vaccination,24670.0,Yes,79.04,1662.0,3.66,13970.0,0.65,87.44 +35021,Indonesia,2017,Alzheimer's Disease,Respiratory,15.85,10.53,5.82,61+,Other,666975,67.09,3.64,3.71,Surgery,37559.0,No,75.69,4065.0,8.1,50876.0,0.62,29.95 +35030,Turkey,2013,HIV/AIDS,Autoimmune,2.44,6.23,6.04,19-35,Other,70986,76.58,0.74,6.39,Vaccination,35936.0,No,83.93,3499.0,9.9,43872.0,0.82,53.96 +35038,Brazil,2006,Leprosy,Chronic,18.23,3.07,7.8,0-18,Other,75258,51.69,3.62,9.08,Therapy,12918.0,No,78.51,3911.0,6.08,44597.0,0.5,52.84 +35043,Australia,2020,Asthma,Genetic,16.02,3.5,7.81,61+,Male,517175,79.68,4.48,7.83,Medication,7069.0,Yes,64.61,4323.0,4.14,27826.0,0.65,63.4 +35045,Japan,2012,Dengue,Autoimmune,11.53,11.86,5.07,19-35,Male,960797,95.19,4.1,8.3,Vaccination,4143.0,Yes,50.92,1179.0,2.58,63577.0,0.86,68.32 +35046,Russia,2016,Hypertension,Neurological,4.51,14.2,8.48,36-60,Female,5579,64.36,3.04,8.58,Therapy,11573.0,No,90.99,4705.0,1.96,65376.0,0.83,87.92 +35048,Japan,2020,HIV/AIDS,Infectious,15.52,0.13,8.9,0-18,Male,103804,67.67,4.72,5.44,Therapy,7553.0,Yes,93.09,1977.0,6.57,39365.0,0.78,39.13 +35051,India,2000,Leprosy,Bacterial,17.55,9.03,7.23,19-35,Female,870921,78.73,2.2,2.82,Medication,25612.0,Yes,73.91,4162.0,1.81,55422.0,0.57,54.37 +35052,Canada,2000,Parkinson's Disease,Viral,8.45,10.92,7.55,0-18,Female,321524,79.96,4.33,0.65,Therapy,32791.0,Yes,94.95,3714.0,3.94,81546.0,0.58,28.13 +35056,Argentina,2008,Hepatitis,Genetic,10.11,9.68,5.88,0-18,Female,979642,78.09,1.35,1.38,Surgery,22501.0,No,53.53,2835.0,9.33,61863.0,0.61,77.26 +35062,South Korea,2006,HIV/AIDS,Respiratory,18.33,14.38,5.71,19-35,Female,345971,76.09,4.89,1.22,Vaccination,18088.0,No,64.43,2714.0,9.31,29517.0,0.4,50.28 +35065,China,2009,Parkinson's Disease,Neurological,4.04,9.17,4.13,19-35,Female,226653,93.22,3.35,9.48,Medication,24303.0,No,94.99,4552.0,4.34,45533.0,0.72,51.47 +35067,France,2022,Cancer,Bacterial,4.72,0.72,4.62,19-35,Female,276486,50.74,2.09,5.19,Surgery,19148.0,No,58.65,146.0,3.86,69969.0,0.57,57.54 +35068,Saudi Arabia,2014,Malaria,Bacterial,1.92,3.24,6.75,36-60,Other,199949,86.53,2.73,6.92,Therapy,38403.0,No,77.07,2036.0,1.38,35511.0,0.48,51.89 +35072,South Korea,2023,HIV/AIDS,Parasitic,10.75,9.98,9.09,19-35,Male,346292,71.04,2.46,3.43,Surgery,48962.0,Yes,63.17,1086.0,6.34,79537.0,0.54,60.27 +35078,Italy,2013,Alzheimer's Disease,Chronic,3.38,4.84,5.67,61+,Female,151094,64.85,4.09,4.24,Medication,49354.0,No,60.9,374.0,6.09,40547.0,0.86,24.53 +35080,Saudi Arabia,2011,Polio,Autoimmune,15.12,13.8,0.36,61+,Other,20447,62.85,2.12,2.62,Vaccination,1898.0,No,73.52,211.0,6.55,19847.0,0.52,76.14 +35081,Argentina,2008,HIV/AIDS,Viral,5.61,9.82,9.37,0-18,Male,92459,79.07,4.07,2.91,Therapy,3474.0,Yes,59.37,3214.0,9.89,84057.0,0.76,36.16 +35082,Japan,2009,Parkinson's Disease,Cardiovascular,2.62,4.61,8.11,61+,Male,902939,61.1,4.99,9.96,Medication,2176.0,Yes,77.75,3923.0,1.99,29989.0,0.46,79.53 +35084,Germany,2017,Influenza,Neurological,17.88,9.2,3.07,61+,Male,862133,57.99,3.26,2.99,Surgery,35820.0,No,88.74,984.0,7.08,67519.0,0.75,31.74 +35086,Saudi Arabia,2002,Cholera,Respiratory,9.88,11.95,4.07,36-60,Female,60132,70.95,3.06,8.68,Therapy,3683.0,Yes,87.36,2654.0,1.46,40837.0,0.47,60.84 +35088,France,2019,Alzheimer's Disease,Respiratory,13.93,9.8,9.35,19-35,Female,959528,50.7,1.01,7.57,Vaccination,25798.0,No,94.84,4544.0,7.8,34772.0,0.54,83.08 +35089,South Africa,2003,Leprosy,Bacterial,6.25,9.44,8.02,0-18,Male,975043,76.69,4.48,1.03,Vaccination,14677.0,No,58.16,3574.0,8.05,2842.0,0.69,43.11 +35095,Brazil,2001,Diabetes,Parasitic,8.66,10.4,6.12,36-60,Male,190839,75.71,2.64,8.94,Medication,36002.0,Yes,90.92,2925.0,7.72,25950.0,0.54,45.84 +35097,Australia,2007,Influenza,Chronic,14.06,2.54,7.62,61+,Male,716251,72.73,4.64,7.17,Therapy,31143.0,No,75.56,1825.0,7.01,71222.0,0.57,45.06 +35101,Brazil,2020,Polio,Bacterial,14.35,1.4,5.87,0-18,Other,779467,76.83,2.58,6.77,Therapy,41725.0,Yes,82.92,4508.0,9.06,34432.0,0.61,25.65 +35105,Australia,2003,Cancer,Metabolic,13.2,1.0,8.34,0-18,Female,565424,71.42,2.55,9.44,Medication,38468.0,No,98.41,1277.0,6.47,84512.0,0.54,41.55 +35110,Mexico,2000,Zika,Metabolic,16.35,10.08,4.95,0-18,Male,365825,50.51,1.89,7.49,Surgery,38927.0,Yes,57.54,3555.0,7.54,12258.0,0.81,47.26 +35112,Saudi Arabia,2015,Ebola,Viral,13.97,12.11,9.44,61+,Male,436752,96.85,4.44,4.19,Medication,29919.0,No,74.76,920.0,7.45,64310.0,0.77,46.28 +35115,South Africa,2007,Dengue,Viral,18.44,1.22,0.25,36-60,Male,797084,80.22,1.73,9.78,Vaccination,49149.0,No,72.52,357.0,2.68,83235.0,0.62,66.71 +35128,Australia,2019,Cholera,Genetic,6.99,6.04,9.35,36-60,Other,532087,52.01,1.09,5.02,Therapy,382.0,Yes,63.48,2597.0,8.76,67428.0,0.45,80.81 +35133,Argentina,2007,Tuberculosis,Parasitic,1.37,14.59,6.68,0-18,Other,788641,90.33,1.72,5.19,Medication,19932.0,Yes,67.45,4452.0,4.07,34108.0,0.79,60.78 +35139,China,2009,COVID-19,Cardiovascular,15.41,14.05,1.57,19-35,Female,199862,96.82,0.67,5.33,Vaccination,39416.0,Yes,93.3,1213.0,5.59,38042.0,0.55,83.42 +35143,Japan,2005,Diabetes,Cardiovascular,9.21,5.57,6.83,61+,Male,251878,93.87,1.94,2.25,Medication,695.0,No,66.6,1192.0,3.54,77643.0,0.88,31.26 +35154,Italy,2005,Measles,Infectious,3.5,7.62,0.93,36-60,Male,877090,59.67,2.67,2.77,Vaccination,26329.0,No,96.44,1175.0,2.95,73552.0,0.85,52.49 +35155,Japan,2023,Parkinson's Disease,Genetic,6.6,0.58,1.7,61+,Other,255372,84.76,1.04,9.85,Surgery,35817.0,No,87.71,2198.0,0.15,51572.0,0.65,59.38 +35156,Russia,2006,Hepatitis,Metabolic,6.59,11.49,8.22,0-18,Other,404112,51.8,4.33,8.92,Therapy,32392.0,Yes,72.87,521.0,0.66,7769.0,0.62,28.19 +35159,Brazil,2021,Dengue,Metabolic,10.61,12.65,0.66,36-60,Male,999517,81.35,3.05,1.57,Therapy,46070.0,No,78.06,3895.0,3.67,46881.0,0.83,49.79 +35179,South Africa,2016,Tuberculosis,Genetic,17.52,11.47,9.53,36-60,Male,967301,93.73,0.5,2.97,Therapy,47605.0,Yes,59.2,761.0,6.81,34324.0,0.57,62.48 +35184,Argentina,2013,COVID-19,Infectious,12.65,4.15,3.81,36-60,Female,499581,76.21,2.91,5.01,Surgery,30908.0,Yes,95.45,4806.0,5.41,89102.0,0.73,57.39 +35185,Indonesia,2011,Zika,Cardiovascular,15.44,3.92,6.72,19-35,Male,72754,97.21,1.75,7.37,Medication,40316.0,Yes,86.04,2537.0,8.66,38138.0,0.89,23.99 +35189,Mexico,2012,Leprosy,Viral,4.81,10.26,6.33,0-18,Female,887320,55.49,1.6,9.18,Therapy,41224.0,No,65.0,3424.0,7.3,94848.0,0.61,79.05 +35191,France,2020,Hepatitis,Genetic,19.52,12.64,6.16,36-60,Female,498685,59.85,2.98,3.03,Therapy,26818.0,Yes,71.99,2289.0,3.73,54345.0,0.86,88.84 +35199,France,2014,Hypertension,Genetic,7.25,4.12,9.42,36-60,Male,774676,99.38,2.37,9.08,Medication,29663.0,Yes,95.75,664.0,9.47,90142.0,0.6,38.24 +35203,China,2002,Influenza,Chronic,17.89,13.87,0.28,19-35,Other,850736,94.65,1.28,8.4,Surgery,27679.0,No,61.6,1383.0,9.51,26487.0,0.41,52.67 +35206,Australia,2001,Rabies,Genetic,10.95,7.78,2.69,19-35,Male,229370,68.57,2.67,4.86,Vaccination,46807.0,Yes,59.67,400.0,7.09,20751.0,0.47,79.67 +35207,Saudi Arabia,2021,Alzheimer's Disease,Metabolic,10.91,6.94,2.24,0-18,Male,393826,95.79,2.22,6.17,Medication,28709.0,No,74.64,4791.0,7.27,61815.0,0.52,72.48 +35212,China,2016,Tuberculosis,Autoimmune,14.11,12.99,1.44,61+,Female,115088,95.69,3.54,6.25,Medication,48965.0,Yes,77.27,601.0,7.56,40584.0,0.69,38.55 +35214,Turkey,2021,Alzheimer's Disease,Cardiovascular,6.62,9.12,9.3,19-35,Male,830803,84.09,1.94,7.31,Surgery,11835.0,No,53.09,3982.0,9.15,40798.0,0.46,30.31 +35216,India,2017,HIV/AIDS,Autoimmune,14.79,7.81,9.34,0-18,Other,230645,98.47,1.56,8.39,Surgery,35588.0,Yes,97.08,3894.0,9.13,66221.0,0.53,55.35 +35222,Turkey,2013,Malaria,Genetic,18.6,7.47,5.46,19-35,Male,339871,73.77,1.1,6.34,Therapy,38679.0,No,83.35,1597.0,4.46,82216.0,0.74,37.44 +35223,USA,2012,Parkinson's Disease,Bacterial,10.48,14.68,4.91,61+,Male,983215,96.03,2.05,2.44,Surgery,33904.0,No,89.64,4757.0,1.73,92014.0,0.51,88.95 +35232,Brazil,2010,Influenza,Parasitic,4.96,9.68,2.98,19-35,Female,559879,91.84,3.43,0.91,Medication,31540.0,No,66.89,3033.0,7.43,11054.0,0.49,67.55 +35234,UK,2004,Leprosy,Bacterial,1.7,10.46,9.69,19-35,Female,651596,83.71,4.24,6.64,Therapy,8152.0,Yes,58.52,1505.0,5.25,81297.0,0.62,50.49 +35236,China,2005,Measles,Chronic,7.92,1.83,8.36,36-60,Female,515162,73.71,0.92,0.89,Surgery,15990.0,Yes,66.86,709.0,7.99,85113.0,0.47,50.93 +35242,Indonesia,2010,Zika,Chronic,11.07,2.65,0.38,0-18,Female,886685,55.77,4.46,5.15,Medication,9488.0,No,76.92,2463.0,4.47,68387.0,0.75,34.28 +35256,Germany,2022,Hypertension,Autoimmune,1.74,14.51,3.16,36-60,Other,965572,96.96,3.76,1.34,Therapy,43255.0,No,50.25,3312.0,6.9,55157.0,0.74,33.68 +35258,Australia,2006,Ebola,Bacterial,14.57,12.68,1.13,0-18,Other,575182,70.97,4.93,2.48,Therapy,23506.0,No,98.56,4224.0,2.17,60111.0,0.83,73.4 +35260,South Korea,2024,Zika,Bacterial,10.87,11.64,4.65,61+,Male,952617,92.56,2.86,5.7,Vaccination,44971.0,No,72.13,2561.0,1.46,10750.0,0.87,50.99 +35262,China,2007,Asthma,Infectious,6.76,13.1,1.41,0-18,Other,387891,86.09,4.88,5.81,Vaccination,14770.0,Yes,70.73,4910.0,2.2,13768.0,0.64,27.64 +35269,Canada,2010,COVID-19,Autoimmune,15.37,8.52,8.89,0-18,Other,925608,63.22,3.24,7.71,Vaccination,4113.0,No,74.15,689.0,8.31,64965.0,0.44,26.37 +35270,Indonesia,2001,Hepatitis,Bacterial,19.85,4.55,1.72,61+,Male,29324,77.79,4.97,3.23,Surgery,1927.0,No,51.1,4593.0,2.17,40328.0,0.84,78.25 +35272,Nigeria,2019,Rabies,Viral,18.99,2.74,3.86,0-18,Other,495093,53.65,3.07,2.02,Vaccination,12287.0,Yes,54.09,2995.0,5.9,57897.0,0.4,20.45 +35273,Brazil,2012,Parkinson's Disease,Genetic,0.82,5.33,7.33,0-18,Male,647827,79.43,4.16,9.91,Medication,11926.0,No,70.58,3176.0,9.44,81640.0,0.59,40.94 +35274,Nigeria,2014,Dengue,Chronic,11.97,2.86,4.73,0-18,Male,260211,53.34,3.12,8.18,Vaccination,10590.0,Yes,85.39,817.0,9.26,60125.0,0.49,72.15 +35283,Italy,2015,Parkinson's Disease,Autoimmune,1.63,7.97,6.27,61+,Female,926064,51.95,1.52,2.96,Surgery,13579.0,No,62.82,2130.0,5.68,36115.0,0.64,78.8 +35288,Brazil,2007,Hypertension,Infectious,1.03,0.33,6.09,19-35,Female,252777,76.39,1.34,0.98,Surgery,13807.0,No,98.41,1855.0,2.91,54334.0,0.51,63.1 +35299,India,2010,Asthma,Metabolic,2.27,13.25,8.99,19-35,Female,772965,94.71,0.55,7.88,Vaccination,11789.0,No,82.77,4560.0,4.79,18444.0,0.57,41.04 +35301,Canada,2002,Alzheimer's Disease,Cardiovascular,14.66,12.8,1.79,36-60,Male,721411,52.57,4.2,3.91,Surgery,9548.0,Yes,89.21,2767.0,6.72,54757.0,0.74,86.0 +35308,Italy,2004,Asthma,Chronic,9.49,8.81,1.95,61+,Female,492506,84.18,0.56,7.96,Surgery,45322.0,No,64.36,2201.0,7.25,43443.0,0.52,50.84 +35310,Argentina,2023,Zika,Viral,11.99,13.06,4.72,19-35,Female,674420,78.91,3.7,5.28,Vaccination,34316.0,Yes,62.79,1471.0,5.54,11819.0,0.52,48.17 +35315,Canada,2022,Diabetes,Bacterial,0.38,0.67,1.37,61+,Male,589790,82.46,1.0,9.83,Therapy,40987.0,No,63.97,3240.0,4.07,48606.0,0.43,23.77 +35322,Nigeria,2023,Ebola,Neurological,1.49,4.55,7.34,61+,Other,280832,83.46,3.43,3.35,Surgery,32053.0,Yes,70.57,4975.0,8.4,13477.0,0.52,41.66 +35324,Brazil,2002,Alzheimer's Disease,Neurological,13.8,13.15,6.41,36-60,Male,308895,92.4,0.74,9.29,Surgery,39820.0,Yes,96.19,2287.0,1.71,10925.0,0.58,21.11 +35327,Australia,2011,Rabies,Neurological,1.59,9.55,3.36,19-35,Female,109437,66.34,2.86,9.93,Surgery,14919.0,Yes,93.7,4325.0,5.83,78392.0,0.88,72.48 +35328,Argentina,2017,Measles,Chronic,5.15,0.19,4.79,19-35,Male,537126,63.78,0.77,8.89,Therapy,15840.0,No,70.15,911.0,5.32,13477.0,0.8,55.27 +35330,USA,2017,Measles,Parasitic,6.26,10.22,1.03,19-35,Female,306895,60.11,0.77,8.62,Vaccination,42514.0,No,68.78,4651.0,6.32,21173.0,0.88,22.71 +35334,Indonesia,2023,HIV/AIDS,Neurological,8.46,2.46,5.91,61+,Other,492564,72.84,4.34,1.05,Surgery,40860.0,No,91.17,1021.0,6.61,34434.0,0.84,57.07 +35349,Japan,2023,Hepatitis,Cardiovascular,0.59,6.75,2.76,19-35,Male,951762,90.95,4.25,7.7,Medication,38394.0,Yes,95.82,4032.0,8.52,96380.0,0.84,66.9 +35350,India,2013,Asthma,Bacterial,15.96,13.11,3.68,19-35,Male,671079,80.24,4.08,9.34,Therapy,18859.0,Yes,90.34,2172.0,4.52,70145.0,0.74,45.93 +35351,UK,2003,Parkinson's Disease,Genetic,1.37,6.49,8.87,0-18,Female,350743,83.88,2.71,6.39,Vaccination,29268.0,Yes,51.36,3477.0,2.63,55273.0,0.44,36.6 +35355,Canada,2017,COVID-19,Cardiovascular,11.95,12.44,2.07,61+,Female,36431,79.41,4.14,0.86,Surgery,34025.0,No,84.77,3453.0,9.03,40231.0,0.41,59.31 +35365,China,2007,Ebola,Infectious,18.14,7.99,9.97,19-35,Female,927163,77.51,1.03,9.93,Surgery,18683.0,Yes,70.71,2571.0,1.39,15023.0,0.44,82.58 +35368,Germany,2017,Malaria,Parasitic,8.77,5.77,1.96,19-35,Other,478915,84.45,1.2,0.54,Surgery,48783.0,No,56.96,3169.0,9.06,14709.0,0.49,73.8 +35370,India,2011,Polio,Infectious,10.38,0.42,0.95,36-60,Female,397870,66.28,4.01,3.63,Therapy,35566.0,Yes,76.23,1243.0,1.25,97255.0,0.41,89.9 +35376,China,2022,Tuberculosis,Bacterial,14.5,9.23,1.42,19-35,Other,215699,65.61,3.92,2.91,Surgery,22938.0,No,80.52,2688.0,5.96,19227.0,0.74,59.71 +35380,Russia,2007,Influenza,Genetic,7.23,3.24,3.91,19-35,Male,709068,82.59,1.5,8.14,Vaccination,15035.0,Yes,77.56,2656.0,6.0,61164.0,0.65,36.19 +35385,Saudi Arabia,2008,Cholera,Bacterial,16.89,5.94,6.92,0-18,Male,634971,73.49,2.92,9.5,Therapy,39449.0,Yes,76.22,3221.0,7.83,98394.0,0.7,35.23 +35386,Brazil,2005,COVID-19,Bacterial,5.8,8.39,8.68,61+,Female,427513,92.4,0.67,7.89,Surgery,14678.0,Yes,66.34,2130.0,4.23,22355.0,0.65,56.45 +35391,Japan,2000,Tuberculosis,Genetic,17.13,9.75,3.64,19-35,Male,691695,95.43,3.19,3.73,Medication,14085.0,Yes,93.91,835.0,3.5,72928.0,0.54,37.77 +35393,South Africa,2011,Leprosy,Cardiovascular,0.91,11.41,8.68,36-60,Female,68012,76.94,0.9,0.64,Therapy,36735.0,Yes,51.12,2665.0,2.7,18057.0,0.42,36.92 +35394,Russia,2006,Asthma,Neurological,8.24,0.11,3.75,61+,Other,156030,98.94,1.32,6.08,Surgery,49670.0,No,91.39,4757.0,1.35,32333.0,0.53,54.13 +35402,Mexico,2012,Alzheimer's Disease,Genetic,18.86,12.79,5.64,19-35,Other,124587,71.37,2.33,1.13,Therapy,45548.0,Yes,87.45,2300.0,8.78,17696.0,0.87,41.51 +35408,China,2003,Zika,Parasitic,12.1,5.7,4.48,36-60,Other,520431,85.19,4.17,8.36,Surgery,891.0,No,61.3,2130.0,0.69,77201.0,0.62,22.44 +35414,Turkey,2004,Alzheimer's Disease,Autoimmune,17.78,3.5,7.32,19-35,Male,394025,54.11,4.8,0.73,Medication,17995.0,No,92.29,1663.0,2.77,3908.0,0.78,66.31 +35420,South Korea,2000,Influenza,Bacterial,11.13,6.55,9.54,36-60,Other,993536,93.57,1.58,0.54,Therapy,20373.0,No,74.13,3341.0,6.34,37964.0,0.79,45.49 +35425,Brazil,2005,Leprosy,Metabolic,19.97,2.02,4.15,0-18,Male,947571,72.0,2.56,8.78,Medication,32751.0,Yes,53.38,4310.0,8.07,30162.0,0.78,35.04 +35426,China,2022,Polio,Genetic,3.44,10.55,2.31,61+,Other,272908,86.32,1.34,9.47,Medication,41962.0,Yes,53.34,3800.0,1.7,82385.0,0.46,56.24 +35427,Germany,2013,Ebola,Bacterial,19.22,12.23,3.05,61+,Female,826357,53.54,3.47,8.11,Vaccination,35024.0,Yes,57.25,2932.0,1.49,32102.0,0.49,77.9 +35428,Saudi Arabia,2021,Hepatitis,Bacterial,13.3,9.45,6.86,0-18,Other,140846,60.38,1.82,9.54,Vaccination,16799.0,Yes,52.41,930.0,9.75,49890.0,0.7,61.52 +35435,South Africa,2024,Asthma,Cardiovascular,10.92,11.39,8.51,36-60,Other,275676,91.28,0.54,2.64,Surgery,15166.0,No,78.16,2278.0,8.86,88089.0,0.43,57.63 +35442,Saudi Arabia,2014,Polio,Metabolic,1.04,2.63,4.1,0-18,Male,215952,80.39,1.82,1.09,Surgery,18055.0,No,81.86,2666.0,6.43,79951.0,0.68,38.14 +35455,Argentina,2002,Influenza,Infectious,1.72,0.5,1.97,36-60,Male,988941,64.57,1.15,7.38,Medication,28454.0,No,93.57,3833.0,2.71,88254.0,0.41,21.33 +35458,Saudi Arabia,2006,Ebola,Chronic,11.64,4.53,3.14,0-18,Male,819901,89.65,4.87,6.51,Vaccination,44536.0,No,75.54,3146.0,9.15,59763.0,0.63,24.34 +35462,Argentina,2023,Ebola,Infectious,10.58,13.27,6.25,36-60,Female,155500,98.79,0.6,5.19,Vaccination,47032.0,No,60.99,236.0,1.08,85963.0,0.6,38.78 +35465,France,2019,Rabies,Respiratory,6.73,5.85,5.73,19-35,Other,408565,84.56,2.51,1.6,Surgery,19615.0,No,85.34,191.0,8.09,79490.0,0.45,72.93 +35466,Saudi Arabia,2022,Measles,Cardiovascular,19.59,13.82,1.95,0-18,Male,213184,78.18,4.51,5.88,Therapy,38350.0,Yes,81.58,2001.0,2.74,98473.0,0.64,66.97 +35471,Mexico,2009,Polio,Chronic,7.66,10.19,4.2,36-60,Male,492092,62.25,2.03,7.91,Surgery,17707.0,Yes,85.5,1198.0,0.24,57801.0,0.41,61.43 +35472,South Korea,2020,Alzheimer's Disease,Autoimmune,0.79,2.53,7.65,36-60,Other,395384,95.93,0.94,0.99,Surgery,10283.0,Yes,91.73,882.0,7.42,6624.0,0.57,21.54 +35486,South Africa,2001,Hypertension,Cardiovascular,15.23,10.49,9.7,0-18,Female,882231,57.14,4.17,1.93,Vaccination,43129.0,No,91.94,1959.0,4.59,55965.0,0.53,62.5 +35491,Australia,2013,Malaria,Viral,19.65,6.66,9.84,0-18,Female,183528,58.85,4.9,2.18,Surgery,34804.0,Yes,97.73,457.0,4.13,82189.0,0.82,77.27 +35492,Russia,2018,Asthma,Viral,4.36,1.16,2.91,0-18,Other,333583,85.18,4.84,4.51,Surgery,2341.0,Yes,54.03,4595.0,8.07,77313.0,0.68,45.96 +35501,China,2017,Cholera,Metabolic,11.91,10.91,2.63,36-60,Other,74117,78.36,3.68,8.18,Surgery,1075.0,No,75.93,1553.0,4.79,32636.0,0.59,40.11 +35508,Russia,2016,Rabies,Respiratory,16.86,3.24,5.28,19-35,Female,953478,73.84,1.2,5.9,Therapy,9173.0,Yes,88.08,1573.0,5.86,34965.0,0.43,63.34 +35526,Germany,2006,Zika,Chronic,6.93,1.07,4.89,19-35,Male,855850,91.06,3.75,0.99,Medication,3384.0,Yes,90.16,4947.0,9.64,66861.0,0.56,78.89 +35533,Nigeria,2001,Tuberculosis,Bacterial,3.17,2.24,5.3,19-35,Male,595590,57.0,1.67,5.11,Therapy,4974.0,Yes,55.09,2505.0,9.18,38470.0,0.88,69.95 +35535,Russia,2022,Alzheimer's Disease,Viral,2.7,2.02,0.47,19-35,Male,936239,69.73,3.83,8.18,Medication,43124.0,No,96.96,2490.0,6.89,46024.0,0.89,29.58 +35543,Argentina,2007,Parkinson's Disease,Bacterial,15.55,2.09,9.93,61+,Other,29921,61.7,3.32,7.1,Vaccination,17114.0,No,60.29,4285.0,0.23,39002.0,0.66,40.21 +35544,USA,2001,Cancer,Metabolic,2.2,8.8,2.1,0-18,Other,215635,73.45,2.18,6.38,Medication,42598.0,No,79.69,2332.0,5.23,83441.0,0.83,78.61 +35545,South Africa,2017,Asthma,Cardiovascular,4.35,9.94,2.99,0-18,Other,294650,95.84,3.57,1.35,Surgery,20963.0,No,97.85,4812.0,6.8,10347.0,0.72,86.63 +35548,Indonesia,2008,COVID-19,Viral,8.79,1.74,4.17,0-18,Male,489827,67.56,1.93,4.25,Vaccination,48091.0,No,83.27,2895.0,1.29,96591.0,0.77,61.01 +35549,UK,2000,Cholera,Neurological,18.16,11.03,7.33,36-60,Other,342401,72.37,3.99,1.16,Medication,33151.0,Yes,88.78,3812.0,7.35,79350.0,0.44,68.23 +35562,Italy,2021,Cancer,Metabolic,2.82,4.42,3.56,19-35,Other,735843,99.24,3.94,4.8,Medication,23035.0,No,80.92,4260.0,1.42,33342.0,0.79,46.92 +35575,Brazil,2016,Polio,Viral,17.6,12.37,4.66,0-18,Other,785254,72.7,4.18,4.58,Medication,36555.0,No,93.24,4900.0,8.6,50223.0,0.84,58.38 +35578,Argentina,2020,Parkinson's Disease,Parasitic,7.08,1.72,9.56,36-60,Other,965491,81.36,1.92,5.64,Medication,11449.0,No,72.94,1344.0,9.37,43810.0,0.83,72.2 +35586,Canada,2018,COVID-19,Parasitic,8.57,2.3,8.31,0-18,Other,15966,53.1,4.26,8.11,Vaccination,31020.0,Yes,51.07,1442.0,8.63,25821.0,0.83,26.85 +35592,USA,2017,Ebola,Parasitic,8.08,2.1,3.85,19-35,Other,895696,50.52,0.52,5.31,Medication,30416.0,Yes,54.0,650.0,7.94,66912.0,0.81,68.72 +35600,South Korea,2000,HIV/AIDS,Chronic,17.81,8.7,8.05,61+,Female,177105,60.46,1.19,8.0,Surgery,2695.0,Yes,57.12,4156.0,9.71,94726.0,0.69,47.56 +35602,China,2023,Influenza,Genetic,19.86,8.58,0.47,61+,Male,194683,65.99,1.81,3.99,Surgery,28955.0,No,76.91,4534.0,5.94,66731.0,0.52,24.59 +35604,Japan,2014,Alzheimer's Disease,Bacterial,19.46,3.02,8.06,36-60,Other,957696,83.21,2.35,8.81,Vaccination,43575.0,No,94.09,3458.0,1.94,865.0,0.89,39.92 +35606,Russia,2016,Ebola,Genetic,17.7,7.08,5.85,36-60,Other,879331,91.82,0.83,2.81,Vaccination,20739.0,Yes,74.95,1450.0,8.91,64685.0,0.84,36.1 +35608,Argentina,2002,Rabies,Autoimmune,4.15,4.68,1.21,61+,Female,8566,54.58,4.37,7.52,Therapy,37059.0,No,66.97,1589.0,5.75,81786.0,0.75,76.23 +35609,Argentina,2017,Zika,Genetic,12.64,5.68,5.14,0-18,Other,844421,85.86,3.84,6.33,Vaccination,40315.0,No,82.24,4879.0,2.22,36720.0,0.46,66.14 +35611,India,2011,Zika,Genetic,7.65,11.02,5.67,0-18,Female,97354,96.12,3.03,8.77,Surgery,34023.0,No,76.0,3437.0,0.11,26787.0,0.74,49.73 +35616,Turkey,2018,Tuberculosis,Parasitic,11.52,10.76,8.85,36-60,Female,893505,68.22,1.54,3.43,Vaccination,33425.0,Yes,59.89,1114.0,0.56,61117.0,0.48,72.04 +35621,Argentina,2015,Zika,Autoimmune,3.78,10.15,1.16,36-60,Female,811323,73.56,1.28,5.71,Surgery,31736.0,No,56.31,4185.0,3.66,2477.0,0.51,54.06 +35628,UK,2007,Asthma,Viral,17.72,5.79,8.8,19-35,Other,186235,94.38,4.56,9.28,Medication,4429.0,Yes,70.43,2020.0,9.06,75293.0,0.43,42.57 +35650,France,2022,Asthma,Bacterial,7.71,4.7,2.89,19-35,Other,501591,69.16,4.43,5.67,Vaccination,3973.0,Yes,98.51,1486.0,4.08,48192.0,0.86,82.42 +35656,Nigeria,2017,Dengue,Genetic,15.99,3.98,3.58,61+,Female,870214,76.1,1.37,0.84,Surgery,16485.0,Yes,79.66,2843.0,2.5,70575.0,0.66,27.41 +35657,Indonesia,2003,Asthma,Cardiovascular,3.57,13.21,6.65,61+,Female,190301,61.67,0.93,8.73,Therapy,31603.0,No,60.95,2900.0,3.47,37256.0,0.73,30.21 +35664,USA,2008,HIV/AIDS,Neurological,9.8,0.92,3.53,19-35,Male,967976,50.25,1.01,6.39,Surgery,25872.0,No,80.54,4369.0,7.14,48756.0,0.79,81.82 +35665,Brazil,2014,Hypertension,Neurological,18.12,7.43,3.31,19-35,Female,117919,75.95,2.85,9.14,Therapy,47377.0,No,61.59,1301.0,8.36,97614.0,0.82,51.89 +35670,Germany,2018,Hepatitis,Cardiovascular,6.54,13.68,4.16,0-18,Male,479184,73.82,4.33,7.11,Vaccination,29605.0,No,91.85,1733.0,1.07,26467.0,0.51,81.42 +35672,Germany,2024,Measles,Chronic,12.45,0.69,8.92,61+,Other,563525,82.22,4.58,5.49,Therapy,48197.0,Yes,90.02,815.0,0.04,68492.0,0.44,89.54 +35679,Japan,2007,Rabies,Neurological,9.29,13.84,2.68,19-35,Male,191492,74.81,4.55,5.16,Therapy,32801.0,Yes,59.41,3460.0,9.67,25702.0,0.65,55.44 +35696,Japan,2011,COVID-19,Infectious,11.23,14.34,0.8,36-60,Other,880282,56.01,0.71,3.63,Vaccination,9835.0,Yes,79.72,2469.0,5.97,28717.0,0.47,52.07 +35700,India,2011,Asthma,Neurological,18.04,12.79,7.24,0-18,Female,448716,68.32,3.81,3.02,Surgery,46678.0,No,86.12,4722.0,9.11,80251.0,0.83,75.18 +35701,India,2012,Alzheimer's Disease,Genetic,19.95,12.7,0.56,61+,Female,841250,83.97,1.85,1.96,Vaccination,7061.0,Yes,51.8,4337.0,0.69,49949.0,0.89,50.14 +35702,Canada,2005,Cancer,Chronic,10.04,4.66,3.05,61+,Female,524799,64.64,2.33,9.79,Surgery,19640.0,No,51.83,1524.0,8.18,52706.0,0.68,72.68 +35709,Nigeria,2013,Dengue,Bacterial,4.82,7.7,0.43,61+,Female,397223,61.36,0.69,0.97,Surgery,36578.0,Yes,52.97,4529.0,3.77,77150.0,0.51,66.92 +35713,Japan,2010,Asthma,Parasitic,8.33,0.79,5.74,0-18,Female,396709,91.14,4.22,5.02,Vaccination,40444.0,Yes,62.72,3799.0,9.01,23208.0,0.6,63.41 +35729,Argentina,2024,Alzheimer's Disease,Infectious,11.39,12.74,5.58,19-35,Female,666841,53.76,1.21,1.92,Vaccination,37405.0,Yes,83.24,4788.0,7.57,75975.0,0.8,29.58 +35730,Nigeria,2006,Alzheimer's Disease,Genetic,11.11,7.47,1.05,0-18,Female,306694,54.65,2.34,9.42,Medication,19417.0,No,68.79,3025.0,2.44,51354.0,0.49,51.76 +35738,Argentina,2015,Malaria,Viral,11.07,5.43,8.13,19-35,Female,471606,74.35,3.04,9.33,Therapy,35852.0,No,98.65,1870.0,2.15,33652.0,0.57,81.54 +35743,Italy,2011,Hepatitis,Autoimmune,18.3,7.89,9.62,19-35,Female,605750,84.54,2.13,6.78,Medication,32368.0,Yes,61.28,726.0,0.69,61674.0,0.63,77.59 +35744,UK,2017,Influenza,Infectious,19.01,5.98,6.04,36-60,Male,629488,96.43,1.53,1.05,Surgery,29810.0,No,82.86,3420.0,6.91,33423.0,0.7,50.64 +35752,Nigeria,2000,HIV/AIDS,Viral,4.71,0.84,9.19,61+,Female,234519,56.92,1.68,3.34,Vaccination,41402.0,No,97.93,1276.0,0.53,1751.0,0.86,28.69 +35758,USA,2016,HIV/AIDS,Metabolic,14.27,13.39,4.28,36-60,Female,489779,79.75,2.91,5.32,Vaccination,25455.0,No,81.24,1742.0,0.19,71585.0,0.9,28.88 +35759,USA,2008,Leprosy,Autoimmune,13.35,6.84,3.09,19-35,Other,867005,61.02,3.34,9.27,Medication,16811.0,No,56.86,378.0,1.11,18126.0,0.78,83.86 +35762,South Africa,2007,Dengue,Cardiovascular,3.88,10.93,4.89,61+,Female,271826,72.38,1.83,7.49,Medication,44469.0,No,70.79,4146.0,9.64,49693.0,0.41,66.39 +35769,Japan,2003,Tuberculosis,Bacterial,7.27,8.91,0.18,61+,Male,830403,62.54,3.28,9.51,Vaccination,38616.0,No,72.16,3990.0,7.57,53378.0,0.49,60.9 +35773,UK,2008,Parkinson's Disease,Chronic,13.29,7.04,7.26,19-35,Female,101435,64.27,2.23,3.25,Surgery,44036.0,No,66.54,3530.0,8.99,7417.0,0.52,83.86 +35776,USA,2017,Asthma,Viral,12.69,2.24,7.93,19-35,Male,517419,80.71,3.31,1.98,Medication,38461.0,No,64.91,1043.0,3.47,24535.0,0.57,31.09 +35780,Germany,2000,Alzheimer's Disease,Neurological,10.19,11.62,4.97,61+,Female,232173,51.67,1.11,1.67,Therapy,19794.0,Yes,62.43,4331.0,2.33,43462.0,0.48,87.84 +35795,Mexico,2009,Cholera,Neurological,8.0,14.27,4.65,0-18,Female,328483,61.63,4.71,4.91,Medication,7650.0,No,62.23,2755.0,6.62,70505.0,0.81,31.75 +35797,India,2007,Rabies,Cardiovascular,5.6,2.2,8.47,61+,Female,72422,98.83,3.41,7.5,Therapy,29291.0,Yes,62.92,1373.0,1.76,1213.0,0.47,76.71 +35798,USA,2005,Alzheimer's Disease,Infectious,10.51,1.13,2.34,19-35,Female,707703,76.39,3.59,1.86,Medication,16582.0,No,52.38,2379.0,7.42,32452.0,0.43,44.94 +35807,South Korea,2018,HIV/AIDS,Autoimmune,17.04,2.92,7.03,36-60,Male,1159,99.98,3.64,0.87,Medication,812.0,Yes,61.09,1736.0,7.5,80861.0,0.41,52.66 +35822,Japan,2024,HIV/AIDS,Metabolic,8.2,9.15,1.87,19-35,Female,942945,81.07,1.51,5.01,Medication,14243.0,No,61.34,907.0,5.61,61881.0,0.81,21.08 +35825,Australia,2019,COVID-19,Viral,8.25,4.64,0.25,61+,Male,913695,50.7,1.64,0.79,Vaccination,21039.0,No,86.98,2036.0,9.35,34204.0,0.72,62.1 +35829,UK,2002,Hypertension,Parasitic,10.07,13.87,9.7,61+,Female,777934,97.23,2.13,4.61,Medication,32548.0,Yes,61.71,218.0,5.03,28394.0,0.52,23.92 +35831,South Korea,2020,Zika,Infectious,6.32,14.84,1.67,61+,Female,588144,50.95,4.81,4.76,Therapy,2108.0,Yes,80.06,629.0,2.03,37405.0,0.74,82.06 +35833,Canada,2017,Zika,Neurological,6.52,4.94,2.71,19-35,Male,885147,65.38,1.86,5.73,Therapy,34991.0,Yes,75.97,2295.0,8.93,44987.0,0.46,78.93 +35834,Brazil,2012,Ebola,Metabolic,13.75,14.09,1.65,36-60,Other,402700,54.36,0.86,1.05,Surgery,19198.0,Yes,90.41,1137.0,6.33,38736.0,0.67,63.29 +35846,USA,2023,Zika,Autoimmune,7.97,4.79,10.0,19-35,Other,309393,70.99,2.53,0.6,Medication,1923.0,Yes,58.38,1019.0,10.0,99542.0,0.72,37.89 +35847,South Africa,2021,Cancer,Metabolic,15.7,13.77,3.76,19-35,Other,707825,50.38,2.68,8.52,Vaccination,8202.0,Yes,62.02,2777.0,8.25,75500.0,0.65,43.89 +35852,Mexico,2018,Hypertension,Parasitic,7.35,14.65,0.21,0-18,Female,800134,79.83,3.72,8.78,Surgery,48398.0,No,88.94,3661.0,7.31,17315.0,0.68,23.31 +35853,Turkey,2001,Ebola,Respiratory,14.95,6.23,5.35,61+,Other,646338,54.31,1.36,5.29,Surgery,10325.0,No,75.19,3379.0,1.21,35839.0,0.82,70.97 +35855,Turkey,2005,Leprosy,Viral,2.1,14.34,4.47,36-60,Other,2642,86.71,2.13,6.83,Therapy,18621.0,Yes,55.61,3192.0,3.11,95896.0,0.69,27.77 +35856,France,2022,Measles,Neurological,3.21,8.76,2.85,61+,Other,739211,66.55,3.7,2.85,Vaccination,5902.0,No,54.0,1007.0,0.69,51071.0,0.87,63.58 +35858,Argentina,2003,Cholera,Metabolic,17.28,7.13,7.66,61+,Other,479517,99.72,2.81,7.74,Therapy,4823.0,No,51.69,4255.0,7.37,93809.0,0.59,62.87 +35861,China,2020,Tuberculosis,Neurological,4.35,14.27,2.39,36-60,Other,895600,63.2,4.97,9.52,Surgery,41117.0,No,79.91,2634.0,6.44,5932.0,0.42,38.36 +35862,France,2006,Tuberculosis,Infectious,3.63,6.14,0.92,36-60,Male,341330,96.66,3.38,8.73,Medication,10434.0,No,67.61,1236.0,7.16,26829.0,0.64,78.68 +35864,Russia,2010,Parkinson's Disease,Autoimmune,15.58,5.48,7.06,0-18,Other,197559,74.22,1.45,6.32,Vaccination,16416.0,No,96.36,2364.0,0.7,67510.0,0.48,61.24 +35870,Brazil,2011,Rabies,Infectious,4.19,14.75,8.78,19-35,Female,738733,93.74,4.47,6.49,Vaccination,9943.0,Yes,96.01,3028.0,6.72,32346.0,0.87,36.8 +35878,Argentina,2011,COVID-19,Metabolic,15.93,5.38,7.09,36-60,Male,266206,55.97,0.98,2.5,Vaccination,2082.0,No,81.08,3909.0,6.08,4871.0,0.61,61.27 +35880,India,2010,HIV/AIDS,Autoimmune,8.16,4.33,3.75,0-18,Male,258272,70.22,2.06,3.89,Therapy,12639.0,No,81.12,1680.0,0.91,74345.0,0.59,41.13 +35884,South Africa,2020,Measles,Parasitic,0.83,1.4,6.48,0-18,Other,584860,59.87,2.65,5.38,Vaccination,3076.0,Yes,71.5,527.0,8.86,88448.0,0.47,37.53 +35885,Russia,2012,Tuberculosis,Chronic,11.99,6.99,0.33,0-18,Male,555592,72.41,2.92,3.42,Medication,49092.0,Yes,67.47,707.0,8.43,66163.0,0.87,38.86 +35887,India,2017,HIV/AIDS,Metabolic,9.49,6.82,1.04,61+,Male,3860,82.79,4.5,4.0,Surgery,34847.0,Yes,90.19,4822.0,3.53,25449.0,0.53,39.55 +35895,Australia,2010,Asthma,Metabolic,14.95,9.11,9.61,36-60,Female,924430,90.13,4.25,1.88,Surgery,23965.0,No,69.05,2285.0,9.14,59280.0,0.85,37.8 +35899,India,2011,Asthma,Metabolic,11.13,7.76,9.71,36-60,Other,457461,51.57,4.45,6.0,Medication,10544.0,No,89.99,51.0,9.01,9618.0,0.73,41.07 +35900,Brazil,2022,Hepatitis,Infectious,15.38,14.84,3.81,36-60,Male,845572,71.93,0.53,6.18,Medication,20120.0,Yes,54.08,2883.0,6.57,19738.0,0.63,28.17 +35904,Argentina,2020,Ebola,Autoimmune,19.1,0.3,5.16,61+,Female,574629,75.4,4.88,4.25,Medication,11842.0,Yes,85.83,4658.0,0.86,55122.0,0.76,72.5 +35908,Indonesia,2012,Alzheimer's Disease,Bacterial,4.11,13.35,7.56,36-60,Male,845540,78.28,1.45,9.99,Vaccination,31107.0,No,83.25,134.0,2.25,6674.0,0.72,31.38 +35911,Canada,2012,HIV/AIDS,Neurological,2.35,14.83,3.78,61+,Female,534492,73.01,2.75,8.8,Surgery,20465.0,No,53.73,4597.0,9.46,89133.0,0.62,31.86 +35925,USA,2021,HIV/AIDS,Bacterial,13.58,10.59,4.47,19-35,Other,780491,51.06,4.85,4.71,Vaccination,41889.0,Yes,57.76,2229.0,5.91,88960.0,0.66,31.09 +35927,Turkey,2023,Asthma,Cardiovascular,3.92,10.19,9.31,19-35,Male,349340,61.03,2.13,2.49,Vaccination,36724.0,Yes,94.3,2677.0,5.41,40420.0,0.49,20.4 +35928,South Korea,2015,COVID-19,Metabolic,14.29,13.65,3.51,61+,Female,529626,94.75,2.12,7.7,Surgery,11721.0,No,76.2,1442.0,7.1,37223.0,0.59,61.57 +35938,France,2004,Leprosy,Metabolic,12.13,10.01,1.06,61+,Other,643903,63.79,4.36,5.63,Vaccination,4916.0,Yes,58.13,1169.0,9.3,16788.0,0.49,30.83 +35939,Japan,2002,Cholera,Neurological,12.7,10.35,2.66,0-18,Male,249271,56.59,2.97,2.54,Surgery,6306.0,No,86.28,3857.0,2.08,4845.0,0.68,63.0 +35941,China,2004,Rabies,Parasitic,7.2,5.65,9.45,0-18,Other,429980,79.65,3.83,6.54,Vaccination,39758.0,Yes,85.53,2714.0,8.36,27814.0,0.59,31.2 +35943,South Korea,2022,Leprosy,Genetic,5.9,12.79,7.18,61+,Other,689769,99.35,2.8,0.61,Medication,25274.0,Yes,74.42,433.0,8.72,2018.0,0.79,30.31 +35947,Australia,2005,Parkinson's Disease,Bacterial,17.16,4.79,7.59,19-35,Other,698939,70.22,1.92,4.72,Medication,16338.0,No,95.51,2615.0,0.41,25812.0,0.7,31.64 +35951,Italy,2020,Cancer,Neurological,4.45,12.71,5.37,61+,Male,957827,58.88,0.84,5.12,Surgery,34082.0,No,57.67,2775.0,6.92,34992.0,0.68,52.84 +35961,South Korea,2018,Diabetes,Infectious,12.58,5.31,0.69,36-60,Male,454907,68.88,1.9,8.42,Surgery,11621.0,Yes,63.24,2987.0,1.36,64503.0,0.76,75.85 +35967,Germany,2014,Measles,Parasitic,1.61,0.85,4.69,36-60,Male,357131,69.77,4.54,7.18,Therapy,10208.0,No,52.49,1609.0,9.65,57790.0,0.69,32.37 +35972,China,2011,Hypertension,Cardiovascular,4.4,5.66,0.14,36-60,Male,632010,78.77,3.53,6.29,Medication,44394.0,No,75.1,3105.0,3.24,67419.0,0.44,68.54 +35981,USA,2000,Cholera,Viral,6.22,14.69,0.3,0-18,Male,264739,86.92,4.48,1.94,Surgery,17333.0,No,53.96,4155.0,1.47,62788.0,0.8,61.31 +35987,Turkey,2000,Tuberculosis,Respiratory,2.16,8.01,3.91,0-18,Male,98757,52.34,2.67,2.48,Vaccination,40316.0,Yes,72.79,3343.0,6.63,92516.0,0.89,85.73 +35993,Indonesia,2022,Malaria,Infectious,2.77,7.02,2.2,0-18,Female,899250,65.95,1.49,5.8,Therapy,49908.0,Yes,73.74,3906.0,7.8,63442.0,0.43,88.88 +36013,Nigeria,2002,Leprosy,Chronic,2.92,3.86,0.91,36-60,Male,496792,70.25,1.39,8.45,Vaccination,34884.0,Yes,88.31,4063.0,1.74,75518.0,0.86,49.08 +36014,Russia,2020,Parkinson's Disease,Neurological,18.77,11.54,2.49,0-18,Male,86909,95.79,0.57,6.44,Therapy,32468.0,Yes,80.44,3251.0,6.86,52578.0,0.81,69.84 +36020,USA,2012,Cholera,Metabolic,13.26,3.62,9.42,0-18,Female,308759,79.02,0.97,9.75,Medication,33341.0,Yes,96.44,3153.0,6.88,53323.0,0.65,43.94 +36021,Japan,2014,Leprosy,Bacterial,3.74,4.7,8.96,61+,Female,452402,62.21,0.68,3.42,Therapy,31610.0,No,92.94,963.0,4.83,78592.0,0.7,51.35 +36028,Saudi Arabia,2012,Polio,Parasitic,6.35,11.44,0.35,36-60,Female,323442,59.87,1.48,4.03,Therapy,27347.0,Yes,63.54,3274.0,7.18,38370.0,0.43,89.91 +36035,Mexico,2017,Tuberculosis,Bacterial,1.91,3.12,8.58,61+,Male,723312,74.09,4.72,1.01,Vaccination,16518.0,Yes,59.38,2174.0,8.44,94551.0,0.59,47.97 +36037,Indonesia,2001,Leprosy,Respiratory,18.73,6.37,0.86,0-18,Other,951104,59.21,3.13,5.37,Therapy,37967.0,No,55.41,3386.0,7.16,85278.0,0.47,58.96 +36040,Turkey,2000,Influenza,Chronic,18.83,13.89,2.23,19-35,Other,513047,60.47,3.24,3.71,Medication,40972.0,Yes,94.72,4619.0,4.52,89015.0,0.67,65.09 +36043,Mexico,2006,COVID-19,Metabolic,16.04,0.43,1.93,61+,Male,212237,97.88,2.05,7.26,Medication,26859.0,Yes,72.44,2369.0,1.53,25427.0,0.53,74.41 +36044,Russia,2006,Rabies,Viral,18.1,10.88,5.36,0-18,Other,468441,57.87,4.65,9.6,Surgery,734.0,No,71.24,2437.0,5.48,6047.0,0.77,83.16 +36052,China,2015,Measles,Viral,15.56,11.51,5.05,19-35,Male,18248,52.08,4.32,7.22,Therapy,35722.0,No,61.15,3770.0,5.99,88882.0,0.86,68.01 +36056,China,2016,Diabetes,Autoimmune,11.71,1.76,8.15,19-35,Female,538919,50.01,1.82,0.55,Medication,46613.0,No,69.85,3209.0,6.01,41724.0,0.44,36.93 +36062,Germany,2012,HIV/AIDS,Chronic,1.32,6.34,4.33,0-18,Female,359949,92.25,4.11,6.74,Surgery,19380.0,Yes,95.92,1973.0,7.44,55970.0,0.52,60.7 +36064,Indonesia,2002,Cancer,Parasitic,16.39,12.62,8.72,0-18,Other,801138,92.75,1.34,4.01,Medication,32862.0,No,61.08,1762.0,0.25,11677.0,0.53,82.42 +36070,Russia,2022,Measles,Cardiovascular,3.17,11.89,3.9,36-60,Other,723475,87.54,1.07,5.28,Vaccination,8970.0,Yes,88.35,4412.0,2.9,39520.0,0.63,59.43 +36072,Germany,2006,Measles,Chronic,10.34,9.06,6.6,36-60,Female,930498,98.95,4.53,0.75,Therapy,20704.0,Yes,54.99,314.0,5.86,6206.0,0.58,83.18 +36077,Argentina,2011,COVID-19,Respiratory,1.16,6.79,9.14,36-60,Female,452867,70.22,3.4,6.26,Surgery,36593.0,Yes,80.57,3743.0,6.55,62081.0,0.68,60.86 +36079,France,2002,Diabetes,Viral,10.49,5.39,0.41,0-18,Other,290666,84.7,1.04,1.65,Medication,47815.0,No,96.98,2244.0,4.77,76323.0,0.45,62.5 +36081,Germany,2015,Parkinson's Disease,Chronic,3.97,7.13,2.51,36-60,Female,246374,64.17,0.67,4.67,Surgery,32160.0,Yes,79.15,1617.0,9.63,44043.0,0.85,50.77 +36088,Canada,2015,Rabies,Metabolic,16.29,9.6,9.34,36-60,Other,317150,90.62,1.72,2.22,Therapy,19730.0,No,90.97,4225.0,8.98,89940.0,0.51,78.8 +36101,Canada,2017,Hepatitis,Chronic,13.54,9.37,3.77,36-60,Male,390193,78.57,2.11,7.36,Therapy,22666.0,No,86.46,3398.0,8.96,26546.0,0.44,24.88 +36110,Nigeria,2007,Rabies,Viral,8.25,5.66,9.6,19-35,Male,580204,62.36,4.85,4.67,Medication,29581.0,Yes,76.0,3818.0,5.86,26757.0,0.62,80.86 +36116,Indonesia,2022,Tuberculosis,Chronic,4.44,4.11,2.76,36-60,Female,890392,65.06,0.81,1.88,Therapy,36475.0,Yes,92.98,3824.0,2.26,30606.0,0.47,43.98 +36123,Italy,2010,Ebola,Viral,19.97,3.83,5.26,36-60,Male,613100,54.99,3.36,6.62,Medication,41484.0,Yes,79.82,2480.0,4.33,18615.0,0.52,23.39 +36125,Argentina,2016,Asthma,Genetic,14.5,11.14,4.11,36-60,Female,476509,85.78,4.75,7.11,Medication,17353.0,No,57.22,2871.0,5.77,53893.0,0.66,30.37 +36127,South Africa,2020,Leprosy,Neurological,0.16,0.4,4.32,61+,Other,174876,82.02,2.1,8.14,Vaccination,37084.0,Yes,79.15,1321.0,0.52,59944.0,0.44,24.62 +36134,Australia,2012,COVID-19,Neurological,3.4,10.53,8.14,61+,Female,956483,75.14,2.63,2.66,Medication,21869.0,Yes,67.6,3467.0,3.8,13509.0,0.82,25.62 +36137,Nigeria,2017,Parkinson's Disease,Genetic,11.57,4.92,6.8,0-18,Female,798162,89.06,0.6,3.77,Surgery,14893.0,Yes,59.59,996.0,6.0,90335.0,0.69,35.06 +36141,South Africa,2023,Measles,Respiratory,18.47,1.96,6.27,0-18,Male,426101,98.07,2.23,4.84,Surgery,42856.0,No,58.9,2630.0,4.05,37856.0,0.57,21.26 +36150,Nigeria,2004,Ebola,Viral,9.99,9.37,7.22,0-18,Other,741119,90.04,3.7,2.83,Therapy,12289.0,Yes,71.66,4282.0,4.62,16294.0,0.64,89.43 +36152,Russia,2005,HIV/AIDS,Chronic,8.03,1.58,5.27,0-18,Male,199520,69.54,1.07,1.51,Medication,16894.0,No,53.64,3760.0,8.48,60674.0,0.46,88.17 +36154,Brazil,2023,Alzheimer's Disease,Genetic,9.28,12.92,6.33,36-60,Other,590798,53.76,3.26,3.35,Therapy,35485.0,No,93.01,1981.0,7.37,91157.0,0.48,43.34 +36157,India,2004,HIV/AIDS,Respiratory,16.45,11.62,8.37,0-18,Female,349817,65.07,0.65,9.75,Vaccination,11486.0,Yes,92.37,2144.0,5.69,32519.0,0.87,69.43 +36159,Japan,2021,Measles,Genetic,5.4,0.31,2.25,36-60,Other,573003,64.25,1.93,1.35,Vaccination,18869.0,Yes,73.94,4680.0,1.02,58453.0,0.59,86.44 +36162,Indonesia,2007,Cancer,Cardiovascular,2.52,9.09,8.79,0-18,Other,820148,74.99,1.65,5.64,Surgery,14718.0,Yes,89.6,4318.0,5.83,61785.0,0.63,47.72 +36166,India,2016,Zika,Infectious,4.08,3.83,9.0,0-18,Female,906504,65.51,2.94,6.41,Vaccination,25853.0,Yes,91.33,1414.0,6.95,27622.0,0.59,23.21 +36169,Argentina,2003,Tuberculosis,Bacterial,11.14,3.75,6.39,19-35,Male,803939,95.2,1.86,4.65,Therapy,40493.0,No,75.69,1768.0,7.85,7916.0,0.67,46.49 +36189,Italy,2012,Ebola,Autoimmune,19.71,6.94,3.92,36-60,Male,494859,98.46,3.34,5.38,Therapy,38010.0,No,85.57,3748.0,2.1,46430.0,0.82,32.13 +36205,USA,2017,Dengue,Bacterial,5.29,9.23,9.98,0-18,Other,133692,70.54,3.59,4.47,Therapy,3315.0,Yes,51.54,4840.0,2.51,44408.0,0.56,74.51 +36206,Germany,2020,COVID-19,Chronic,14.47,3.42,8.86,61+,Other,686463,77.5,2.36,1.36,Medication,1858.0,No,82.26,4516.0,6.59,8141.0,0.69,50.89 +36208,Japan,2021,HIV/AIDS,Autoimmune,16.47,9.84,1.28,61+,Female,949624,80.32,4.96,5.51,Vaccination,3414.0,No,72.89,4557.0,2.07,42339.0,0.57,24.89 +36214,Mexico,2018,Dengue,Viral,13.8,9.75,3.89,61+,Other,494754,65.45,2.7,9.59,Medication,13258.0,No,58.0,2736.0,8.18,97424.0,0.44,20.97 +36229,Japan,2008,Parkinson's Disease,Cardiovascular,3.15,14.26,8.48,0-18,Male,479025,91.09,0.58,5.58,Therapy,10014.0,Yes,73.97,1859.0,8.34,99169.0,0.45,66.08 +36230,Argentina,2017,Hepatitis,Infectious,2.93,1.39,6.91,0-18,Female,63648,66.38,0.86,8.12,Surgery,39946.0,Yes,94.86,4921.0,9.92,45882.0,0.43,25.16 +36232,South Africa,2001,Parkinson's Disease,Autoimmune,2.96,3.16,6.57,36-60,Other,500124,87.69,1.58,8.5,Medication,23800.0,Yes,68.59,942.0,2.81,70269.0,0.51,25.65 +36235,South Africa,2009,Influenza,Metabolic,8.3,1.8,4.48,36-60,Other,117171,83.26,3.42,5.49,Surgery,49635.0,Yes,56.77,718.0,4.22,92374.0,0.61,55.5 +36243,India,2006,Rabies,Cardiovascular,12.35,1.76,1.37,0-18,Male,348694,62.68,2.29,5.24,Vaccination,25832.0,Yes,71.21,4401.0,6.43,6824.0,0.66,74.53 +36250,South Africa,2003,Diabetes,Respiratory,9.44,0.3,8.89,19-35,Male,173415,66.82,1.13,4.36,Surgery,192.0,Yes,72.82,4126.0,9.42,74167.0,0.42,82.08 +36255,Turkey,2004,Cancer,Parasitic,2.0,10.31,1.97,61+,Male,654575,52.96,1.12,9.07,Surgery,31179.0,No,98.1,2485.0,1.87,62726.0,0.78,32.01 +36258,South Korea,2017,Polio,Bacterial,11.35,14.86,8.58,19-35,Other,235695,94.58,4.09,2.02,Therapy,28650.0,Yes,98.53,521.0,7.6,72205.0,0.61,61.08 +36259,Italy,2006,Dengue,Metabolic,15.56,8.72,2.73,61+,Other,861547,89.02,0.51,7.0,Medication,3788.0,No,53.41,4417.0,9.36,18119.0,0.43,60.64 +36261,China,2009,Influenza,Cardiovascular,10.57,2.31,2.11,19-35,Female,50337,97.4,2.0,9.07,Medication,29888.0,No,56.53,4222.0,0.35,10524.0,0.87,53.89 +36273,Australia,2003,Tuberculosis,Neurological,6.98,1.76,0.73,19-35,Male,824800,60.12,3.66,4.91,Vaccination,44314.0,No,68.73,3269.0,6.13,40482.0,0.49,20.94 +36274,Japan,2011,Rabies,Cardiovascular,4.86,5.03,2.97,19-35,Male,694850,54.2,1.67,9.15,Vaccination,35258.0,Yes,80.44,4444.0,1.38,6041.0,0.69,65.54 +36278,USA,2006,Measles,Viral,9.85,2.61,6.12,0-18,Female,306207,74.24,1.5,4.44,Medication,20889.0,Yes,65.58,952.0,1.54,63125.0,0.45,73.55 +36279,Russia,2023,Influenza,Bacterial,3.76,10.69,1.72,36-60,Other,256682,53.14,3.05,8.29,Therapy,4973.0,No,84.69,1098.0,4.94,64336.0,0.64,89.75 +36297,Germany,2002,Ebola,Infectious,10.57,8.07,7.34,61+,Female,475525,78.81,0.52,9.74,Medication,14567.0,No,65.89,4187.0,3.02,23008.0,0.78,62.79 +36299,France,2018,Ebola,Genetic,14.05,8.36,9.66,19-35,Other,298220,78.8,2.9,5.83,Vaccination,45478.0,Yes,90.69,1383.0,7.93,8035.0,0.56,29.15 +36300,UK,2018,Cholera,Neurological,15.83,10.61,0.74,36-60,Male,553319,82.21,0.59,7.82,Vaccination,14987.0,No,65.89,1974.0,8.7,83367.0,0.59,47.69 +36303,Germany,2018,Measles,Neurological,5.3,2.88,5.95,0-18,Female,907680,98.78,3.33,1.93,Surgery,28881.0,Yes,76.28,1286.0,2.98,48754.0,0.59,37.86 +36309,Australia,2024,Asthma,Cardiovascular,13.25,11.62,4.27,0-18,Other,844093,98.37,4.07,0.58,Therapy,8444.0,Yes,71.43,2707.0,5.5,67257.0,0.78,38.16 +36313,Canada,2012,COVID-19,Genetic,8.08,7.04,6.99,19-35,Other,206732,79.74,0.95,9.99,Surgery,7161.0,Yes,83.79,2785.0,8.01,38810.0,0.67,43.83 +36317,USA,2012,Leprosy,Viral,2.08,1.71,2.2,61+,Female,427900,65.5,4.82,7.41,Therapy,42658.0,No,86.63,2968.0,4.34,58269.0,0.48,46.2 +36318,Argentina,2023,Influenza,Bacterial,10.04,14.5,4.03,19-35,Female,302541,67.26,2.97,3.61,Vaccination,39109.0,No,98.16,135.0,0.05,76546.0,0.63,82.97 +36323,Japan,2017,Tuberculosis,Viral,17.62,10.73,3.92,19-35,Female,403149,80.71,3.13,9.16,Surgery,32159.0,No,85.15,4024.0,1.44,82462.0,0.6,81.01 +36327,South Africa,2010,Hepatitis,Chronic,3.45,11.83,0.39,19-35,Other,558555,73.08,2.87,9.33,Medication,43599.0,Yes,54.76,1799.0,0.53,83760.0,0.41,70.72 +36330,Canada,2004,Diabetes,Bacterial,2.69,8.56,1.97,61+,Female,687925,50.97,1.49,2.31,Vaccination,420.0,Yes,88.58,3839.0,0.49,48631.0,0.4,39.57 +36332,South Africa,2018,Influenza,Autoimmune,13.18,9.18,0.35,19-35,Male,84302,58.65,1.69,2.37,Vaccination,19308.0,No,71.9,1822.0,4.34,97023.0,0.43,72.66 +36334,Turkey,2018,COVID-19,Neurological,12.74,7.07,1.8,0-18,Other,17363,50.02,3.12,5.61,Surgery,15731.0,No,72.01,4001.0,0.5,15616.0,0.56,73.21 +36335,UK,2000,Tuberculosis,Infectious,1.76,0.75,9.22,36-60,Other,261084,60.15,2.89,9.37,Medication,16453.0,Yes,62.61,4958.0,8.57,45554.0,0.48,38.11 +36341,USA,2004,Zika,Parasitic,3.17,7.44,6.29,36-60,Female,737333,51.61,3.57,5.92,Therapy,31226.0,Yes,75.16,2794.0,7.79,99118.0,0.86,42.52 +36344,Australia,2009,Rabies,Infectious,12.85,14.54,1.88,61+,Female,310543,50.02,3.86,9.22,Surgery,3502.0,No,89.2,3467.0,1.09,35601.0,0.42,21.1 +36353,South Korea,2000,Rabies,Infectious,6.74,8.17,5.28,19-35,Female,788895,67.59,2.07,2.43,Medication,44975.0,No,53.73,3378.0,9.12,78854.0,0.53,47.32 +36358,Italy,2004,Cancer,Metabolic,10.45,1.21,5.74,61+,Female,383951,75.31,2.68,4.88,Therapy,33112.0,Yes,68.13,503.0,8.94,47494.0,0.73,24.51 +36367,Argentina,2000,Hypertension,Infectious,19.42,12.03,1.71,36-60,Male,871668,65.93,2.21,1.1,Vaccination,25492.0,Yes,74.58,4670.0,2.64,33099.0,0.6,56.93 +36369,Nigeria,2012,Rabies,Neurological,7.97,8.06,3.17,19-35,Male,935836,84.24,0.75,5.36,Therapy,3861.0,No,74.42,3507.0,0.79,83411.0,0.47,68.8 +36374,India,2010,COVID-19,Neurological,9.76,14.64,0.97,0-18,Male,154779,63.83,0.55,3.69,Therapy,18631.0,Yes,96.76,3300.0,9.49,12524.0,0.61,54.61 +36378,France,2017,Polio,Cardiovascular,12.24,2.1,2.33,19-35,Other,238549,92.83,2.67,6.39,Surgery,6119.0,No,71.62,4409.0,3.26,30923.0,0.62,44.41 +36384,Indonesia,2017,Cholera,Infectious,14.1,5.11,1.17,36-60,Female,697888,76.58,4.89,8.31,Vaccination,22069.0,No,95.34,3558.0,1.6,8738.0,0.73,63.67 +36385,Russia,2007,Polio,Cardiovascular,4.42,1.5,2.98,19-35,Female,180605,95.6,4.22,3.19,Surgery,3100.0,No,58.89,4889.0,6.72,72440.0,0.72,50.19 +36392,USA,2004,Diabetes,Infectious,10.76,3.84,1.37,61+,Female,616498,72.71,2.33,4.29,Vaccination,33527.0,No,50.46,858.0,2.82,10326.0,0.43,38.09 +36398,Brazil,2005,Dengue,Metabolic,15.33,0.52,2.39,19-35,Female,986267,75.53,3.74,6.62,Medication,47593.0,No,68.06,4111.0,1.22,71428.0,0.74,21.7 +36399,Japan,2012,Measles,Autoimmune,6.99,4.18,9.38,19-35,Other,98028,64.36,4.38,3.72,Vaccination,20501.0,No,58.8,4779.0,5.13,7704.0,0.88,54.69 +36405,Germany,2008,Hypertension,Metabolic,0.73,2.69,6.73,0-18,Female,138308,80.49,4.36,8.65,Medication,4986.0,No,73.03,1832.0,2.3,20196.0,0.6,20.24 +36411,Mexico,2008,Diabetes,Genetic,13.26,3.64,6.42,0-18,Other,359262,93.91,3.66,4.72,Therapy,16421.0,Yes,56.21,2964.0,7.1,2301.0,0.73,58.28 +36412,Canada,2004,Hepatitis,Neurological,16.81,9.98,8.98,61+,Other,830056,69.46,4.51,8.55,Surgery,32097.0,No,92.96,3054.0,7.86,63900.0,0.71,53.69 +36417,Russia,2004,Alzheimer's Disease,Chronic,13.13,6.13,0.16,36-60,Female,811896,84.4,1.46,1.33,Therapy,12999.0,Yes,74.66,2836.0,9.5,27998.0,0.44,84.06 +36427,South Korea,2003,Hypertension,Chronic,14.33,13.39,3.94,19-35,Male,856089,60.33,3.71,4.91,Surgery,33234.0,Yes,97.5,3249.0,2.02,95544.0,0.47,42.83 +36428,USA,2009,Polio,Neurological,10.26,14.72,2.5,19-35,Other,911298,76.96,4.9,3.95,Therapy,12542.0,Yes,76.34,4335.0,7.76,14120.0,0.76,29.01 +36430,Turkey,2016,Cancer,Infectious,2.04,7.07,1.76,36-60,Other,690693,97.72,1.0,8.43,Medication,12685.0,No,80.48,89.0,6.32,37523.0,0.52,65.53 +36438,Russia,2005,Diabetes,Parasitic,1.03,11.71,7.62,19-35,Female,731207,61.45,4.79,3.63,Vaccination,49796.0,Yes,61.73,2191.0,5.29,32385.0,0.81,37.35 +36442,Mexico,2010,Zika,Autoimmune,11.42,12.26,4.84,36-60,Male,888856,94.59,4.94,4.66,Medication,39490.0,Yes,75.1,1857.0,8.26,62934.0,0.44,84.85 +36445,UK,2016,Polio,Chronic,16.13,8.91,1.49,0-18,Other,297267,93.43,1.25,4.87,Therapy,26870.0,No,55.46,4909.0,3.94,40409.0,0.82,63.8 +36446,Australia,2009,Asthma,Bacterial,9.03,5.83,3.71,61+,Other,942620,53.29,4.11,3.76,Surgery,45015.0,Yes,70.7,3084.0,7.73,74697.0,0.7,76.95 +36449,UK,2024,HIV/AIDS,Parasitic,18.88,6.42,1.25,19-35,Other,657297,65.03,2.07,2.06,Medication,48247.0,Yes,79.87,1740.0,8.0,76343.0,0.49,87.1 +36458,Germany,2022,HIV/AIDS,Genetic,6.66,5.47,4.89,61+,Male,148260,97.51,1.9,8.81,Therapy,35803.0,No,59.45,2904.0,6.3,29748.0,0.5,75.49 +36466,India,2011,Cancer,Metabolic,18.03,12.5,6.85,61+,Other,30807,82.75,1.7,1.12,Therapy,42083.0,No,87.86,3132.0,9.56,91785.0,0.8,67.31 +36471,Saudi Arabia,2002,Hypertension,Autoimmune,8.67,4.22,5.96,61+,Other,508211,50.04,1.81,8.97,Surgery,2912.0,Yes,78.93,105.0,6.87,81131.0,0.74,39.89 +36473,Brazil,2002,Leprosy,Viral,17.39,3.77,4.47,36-60,Male,246503,70.16,2.29,7.01,Therapy,25911.0,No,77.61,3373.0,1.55,90650.0,0.83,62.21 +36478,Turkey,2000,Parkinson's Disease,Chronic,1.17,9.26,3.46,0-18,Other,947635,76.23,3.27,0.6,Therapy,9692.0,Yes,62.07,393.0,8.09,77578.0,0.72,69.63 +36480,Saudi Arabia,2010,Parkinson's Disease,Chronic,5.43,11.29,2.18,61+,Female,456951,62.79,4.65,6.49,Surgery,28004.0,No,70.64,4483.0,6.72,85828.0,0.58,68.89 +36481,India,2019,Influenza,Viral,19.9,9.88,3.35,19-35,Female,341201,85.33,4.65,5.72,Medication,12465.0,Yes,85.68,1049.0,3.71,11564.0,0.49,85.05 +36494,USA,2013,Hypertension,Metabolic,5.88,6.7,4.62,19-35,Other,765001,57.1,2.01,9.47,Therapy,30504.0,No,58.75,1078.0,7.06,32404.0,0.62,39.35 +36495,USA,2021,Polio,Metabolic,4.52,7.51,2.01,36-60,Male,435777,62.43,4.48,4.83,Surgery,34532.0,Yes,66.75,4928.0,9.27,36239.0,0.48,42.78 +36501,Argentina,2018,Ebola,Genetic,3.99,6.92,7.46,61+,Male,994194,77.53,3.72,9.7,Medication,48107.0,No,95.45,4460.0,1.33,31908.0,0.41,70.44 +36505,Russia,2015,Alzheimer's Disease,Viral,6.48,0.77,0.25,19-35,Female,23602,68.14,4.52,0.5,Therapy,21637.0,Yes,58.37,4331.0,1.38,15578.0,0.68,71.06 +36507,Japan,2008,Dengue,Genetic,6.61,0.72,0.89,36-60,Other,78663,52.91,3.05,2.87,Medication,9660.0,No,56.16,4590.0,5.52,54841.0,0.48,48.54 +36512,India,2009,Alzheimer's Disease,Infectious,16.19,6.41,1.76,0-18,Other,451345,54.21,4.8,9.15,Therapy,49184.0,No,89.24,1486.0,6.85,80627.0,0.81,62.83 +36522,Japan,2009,Influenza,Viral,19.51,0.55,9.97,61+,Male,639753,58.92,3.34,4.46,Medication,19737.0,No,94.98,4433.0,5.6,15705.0,0.68,89.59 +36524,USA,2001,Zika,Neurological,3.17,7.52,4.18,0-18,Other,634067,87.25,3.28,0.93,Therapy,7758.0,Yes,96.63,810.0,7.14,52081.0,0.47,69.72 +36527,Japan,2019,Ebola,Metabolic,18.41,6.58,8.81,0-18,Female,164291,58.78,4.05,0.82,Surgery,42611.0,No,76.97,1002.0,0.02,15416.0,0.5,82.23 +36534,USA,2023,Influenza,Autoimmune,4.18,2.08,3.64,0-18,Other,683546,73.57,2.13,1.91,Vaccination,18158.0,Yes,97.83,551.0,9.04,60151.0,0.52,65.56 +36538,South Africa,2024,Malaria,Infectious,16.14,14.92,8.01,19-35,Male,483945,96.2,1.89,8.95,Medication,16913.0,No,71.89,3479.0,3.17,84663.0,0.54,66.48 +36542,Japan,2015,Cholera,Bacterial,2.26,13.45,8.59,36-60,Other,480790,57.95,4.48,3.07,Therapy,27996.0,No,50.66,2617.0,3.21,5449.0,0.57,46.11 +36545,Saudi Arabia,2012,Polio,Neurological,6.65,7.58,0.8,0-18,Female,534794,88.41,2.14,3.08,Vaccination,49154.0,No,65.59,3792.0,1.53,71839.0,0.47,75.58 +36549,Argentina,2007,Malaria,Viral,19.66,9.5,6.19,36-60,Other,944302,70.05,2.85,1.83,Medication,37275.0,Yes,89.01,2140.0,0.41,51839.0,0.77,84.82 +36552,Japan,2018,Polio,Bacterial,14.78,1.1,2.12,61+,Male,313281,58.11,2.3,9.35,Vaccination,43609.0,No,57.0,256.0,6.06,36120.0,0.78,85.71 +36557,Saudi Arabia,2021,Zika,Neurological,12.45,7.66,9.75,36-60,Other,884021,65.65,1.84,3.54,Medication,18100.0,Yes,84.27,3704.0,9.14,85803.0,0.65,48.73 +36560,Argentina,2001,Ebola,Metabolic,5.09,11.52,9.19,61+,Female,56201,67.86,3.97,0.83,Vaccination,17991.0,No,78.74,4145.0,5.31,37446.0,0.59,85.17 +36564,Saudi Arabia,2012,Asthma,Cardiovascular,13.03,13.85,3.34,19-35,Female,28223,60.9,3.66,2.23,Surgery,41625.0,Yes,68.86,30.0,2.68,11026.0,0.51,42.11 +36566,Japan,2018,Parkinson's Disease,Viral,4.41,1.16,8.4,0-18,Male,962764,50.77,2.87,4.3,Vaccination,5633.0,No,82.17,3848.0,0.17,95906.0,0.8,86.94 +36567,China,2001,Cholera,Infectious,9.7,8.37,9.14,0-18,Male,177294,83.99,2.85,8.03,Medication,28395.0,Yes,62.59,2592.0,0.95,3254.0,0.43,20.4 +36570,Canada,2001,Ebola,Bacterial,4.69,9.56,1.08,0-18,Male,285423,89.14,4.62,5.53,Vaccination,341.0,No,70.73,1448.0,8.3,14249.0,0.73,45.53 +36572,Brazil,2019,Alzheimer's Disease,Parasitic,6.27,11.32,9.83,61+,Female,151209,62.49,1.0,0.98,Therapy,40229.0,Yes,66.66,2521.0,1.14,16579.0,0.7,69.53 +36579,Australia,2001,Hypertension,Bacterial,16.1,7.81,0.7,19-35,Female,105305,71.78,4.62,5.82,Medication,40513.0,Yes,87.25,689.0,5.14,75131.0,0.53,62.28 +36581,India,2024,HIV/AIDS,Chronic,6.0,5.68,2.48,0-18,Other,223021,84.64,3.13,5.83,Therapy,49348.0,No,95.17,483.0,4.88,67582.0,0.57,25.82 +36585,Australia,2022,Zika,Bacterial,18.5,12.54,2.46,19-35,Other,600857,86.59,0.85,9.73,Vaccination,43726.0,No,59.69,1403.0,6.09,2110.0,0.8,78.36 +36586,Russia,2019,Measles,Autoimmune,9.91,14.4,7.48,19-35,Female,842528,68.32,2.47,3.03,Medication,22329.0,No,96.74,754.0,3.08,59327.0,0.7,60.44 +36592,Australia,2001,HIV/AIDS,Neurological,18.32,7.03,5.99,36-60,Male,598173,86.84,3.89,7.06,Therapy,3705.0,Yes,96.44,1805.0,5.66,7359.0,0.71,54.55 +36596,South Africa,2012,Asthma,Chronic,11.91,8.39,3.43,0-18,Female,284019,81.37,0.68,6.9,Vaccination,23712.0,No,53.5,4448.0,5.01,6374.0,0.81,52.02 +36597,Canada,2020,Alzheimer's Disease,Bacterial,16.03,13.0,7.87,61+,Other,445643,98.72,1.43,2.87,Vaccination,20416.0,No,94.94,4286.0,2.33,9954.0,0.8,25.11 +36602,UK,2018,Zika,Respiratory,8.55,13.97,0.59,61+,Male,532217,82.11,1.77,1.62,Medication,29206.0,No,80.71,1101.0,9.88,51943.0,0.43,36.12 +36608,Australia,2012,Polio,Parasitic,9.85,13.12,5.64,61+,Other,327222,69.74,1.11,6.63,Vaccination,32942.0,No,62.89,1712.0,6.36,19367.0,0.56,65.43 +36610,Argentina,2004,Zika,Respiratory,1.15,3.73,0.81,19-35,Female,764602,85.29,4.62,8.77,Vaccination,41667.0,Yes,57.45,1277.0,9.32,33383.0,0.69,39.13 +36611,Italy,2006,Zika,Metabolic,5.47,8.5,3.65,19-35,Female,157518,52.02,0.94,1.1,Vaccination,42555.0,No,53.49,2535.0,2.6,24836.0,0.42,20.96 +36620,UK,2018,COVID-19,Autoimmune,10.74,10.04,5.26,19-35,Male,393242,55.57,3.1,7.58,Therapy,32704.0,No,90.53,2331.0,4.11,81065.0,0.61,46.15 +36623,Indonesia,2012,COVID-19,Genetic,3.86,9.42,5.09,36-60,Other,813381,54.66,2.45,5.49,Medication,24371.0,Yes,52.31,4838.0,2.68,8843.0,0.57,62.85 +36624,Argentina,2005,Rabies,Respiratory,0.56,3.42,1.78,19-35,Other,394687,91.45,1.2,3.19,Surgery,3284.0,Yes,83.28,3966.0,1.58,7066.0,0.74,76.13 +36627,South Korea,2016,Polio,Chronic,5.73,12.6,2.5,36-60,Other,214763,55.64,2.76,1.4,Therapy,3101.0,No,62.82,4187.0,3.84,30798.0,0.67,64.72 +36641,South Africa,2013,Zika,Neurological,16.81,2.57,4.0,19-35,Male,597695,81.72,3.55,8.25,Vaccination,7091.0,No,74.14,4244.0,5.61,55701.0,0.87,82.37 +36646,Argentina,2010,HIV/AIDS,Metabolic,4.64,3.14,9.08,61+,Female,654493,57.66,1.41,8.09,Surgery,28254.0,Yes,60.81,4979.0,2.55,73925.0,0.82,46.72 +36653,Nigeria,2019,Measles,Parasitic,6.04,7.2,8.62,61+,Other,638802,69.49,1.77,5.63,Surgery,1081.0,No,53.71,3346.0,4.25,93300.0,0.76,46.11 +36663,France,2021,Tuberculosis,Infectious,6.35,9.56,8.69,36-60,Female,75079,98.4,4.85,5.64,Surgery,43090.0,No,84.78,1915.0,4.18,11544.0,0.86,66.18 +36664,Germany,2021,Rabies,Respiratory,11.21,13.5,3.58,0-18,Other,327665,81.26,1.84,8.93,Vaccination,24038.0,No,67.53,3682.0,6.32,13134.0,0.86,22.3 +36665,China,2024,HIV/AIDS,Metabolic,12.11,4.29,1.99,36-60,Other,339460,98.69,1.35,4.72,Vaccination,19465.0,No,54.45,1772.0,9.68,35269.0,0.51,42.72 +36668,Mexico,2001,Hypertension,Bacterial,1.59,9.96,2.33,36-60,Female,120957,78.66,2.74,5.21,Therapy,7759.0,Yes,78.23,495.0,5.05,50077.0,0.81,59.07 +36682,Nigeria,2020,Dengue,Cardiovascular,12.42,2.84,3.76,61+,Male,562738,75.51,1.81,6.29,Vaccination,12829.0,Yes,60.64,677.0,0.2,46263.0,0.76,41.34 +36698,Italy,2004,Diabetes,Parasitic,7.51,0.75,8.46,61+,Male,610584,63.31,1.17,4.4,Therapy,4065.0,Yes,57.09,956.0,2.4,37464.0,0.57,66.77 +36699,Indonesia,2009,Leprosy,Infectious,16.2,10.55,9.21,19-35,Other,948764,84.74,3.42,3.84,Medication,45396.0,Yes,50.49,124.0,4.62,47433.0,0.82,66.29 +36703,Russia,2000,Rabies,Bacterial,1.67,11.57,0.54,0-18,Other,720513,98.98,2.32,5.12,Therapy,49621.0,No,58.25,3896.0,6.79,65642.0,0.47,20.04 +36713,Italy,2020,Alzheimer's Disease,Infectious,11.54,5.02,7.47,19-35,Female,685800,99.74,1.21,8.29,Therapy,46667.0,No,78.04,43.0,2.67,84851.0,0.77,65.73 +36716,Turkey,2014,Influenza,Cardiovascular,7.32,1.25,4.3,19-35,Other,80034,92.0,2.7,7.11,Therapy,16737.0,Yes,69.35,1980.0,0.1,85916.0,0.4,87.62 +36719,Japan,2023,Leprosy,Chronic,6.46,9.2,1.88,19-35,Male,954081,68.45,0.79,8.85,Surgery,46362.0,No,76.89,371.0,8.35,48441.0,0.83,71.9 +36721,France,2019,Ebola,Parasitic,18.07,2.96,8.13,19-35,Female,140963,50.77,1.7,6.63,Surgery,42186.0,No,78.03,4963.0,6.42,38341.0,0.85,52.98 +36735,Indonesia,2005,Rabies,Autoimmune,8.76,11.72,7.13,0-18,Other,295373,71.0,1.01,8.66,Vaccination,17893.0,No,71.7,4998.0,7.32,44863.0,0.62,25.64 +36736,Indonesia,2005,Leprosy,Genetic,3.94,11.33,6.64,19-35,Other,663880,83.46,3.26,9.02,Medication,36473.0,No,51.01,3801.0,1.64,79375.0,0.59,65.56 +36740,South Korea,2003,Tuberculosis,Viral,18.82,13.2,2.13,36-60,Other,68648,57.46,3.35,4.32,Medication,6951.0,Yes,67.77,2073.0,6.4,51354.0,0.59,26.39 +36747,Germany,2006,Measles,Metabolic,3.1,9.91,4.34,61+,Other,11211,54.59,2.74,5.58,Surgery,2368.0,Yes,80.2,877.0,6.35,75190.0,0.77,80.59 +36750,UK,2019,Dengue,Bacterial,14.16,8.3,9.02,0-18,Other,739547,78.33,2.78,5.31,Vaccination,42234.0,No,77.34,1369.0,6.03,90781.0,0.76,63.23 +36761,Russia,2007,COVID-19,Parasitic,3.65,8.24,8.55,36-60,Other,748983,82.91,0.5,2.66,Therapy,43798.0,Yes,91.83,4487.0,4.55,11069.0,0.62,40.28 +36762,Saudi Arabia,2008,Hepatitis,Autoimmune,16.01,0.34,5.04,61+,Other,617630,67.22,4.22,5.01,Surgery,23275.0,No,90.93,1889.0,0.0,90404.0,0.67,40.36 +36763,Australia,2012,Influenza,Viral,13.52,8.45,3.03,61+,Male,427355,92.63,4.22,6.97,Medication,4855.0,No,56.85,2292.0,5.18,64746.0,0.59,83.64 +36770,USA,2006,Diabetes,Infectious,14.63,10.58,4.19,36-60,Male,602102,67.74,0.97,9.34,Therapy,35877.0,No,86.26,751.0,5.5,30577.0,0.45,24.19 +36772,Italy,2009,Tuberculosis,Cardiovascular,13.75,5.17,8.32,61+,Female,792448,59.26,2.6,9.71,Vaccination,32959.0,No,93.49,3019.0,6.13,71060.0,0.87,51.19 +36778,South Korea,2021,Cholera,Cardiovascular,2.62,7.62,9.27,0-18,Male,826442,65.02,1.59,4.83,Therapy,3083.0,No,92.15,4929.0,6.82,15194.0,0.77,54.41 +36779,Australia,2008,COVID-19,Cardiovascular,9.84,10.33,8.27,36-60,Male,30150,66.3,0.75,3.15,Surgery,7637.0,Yes,67.94,4611.0,8.09,79867.0,0.76,26.44 +36781,Germany,2017,Dengue,Chronic,8.8,8.78,3.9,19-35,Female,167425,73.11,2.99,1.0,Medication,2601.0,No,72.67,1981.0,7.38,99617.0,0.75,31.22 +36788,India,2015,Dengue,Infectious,19.1,11.09,7.77,19-35,Female,923546,88.52,4.99,5.26,Surgery,3801.0,Yes,97.48,3473.0,3.54,71193.0,0.43,52.87 +36794,Nigeria,2004,Leprosy,Viral,2.11,10.32,0.52,19-35,Female,232966,80.71,4.39,4.68,Surgery,27534.0,Yes,84.58,2850.0,8.7,95945.0,0.86,87.76 +36802,UK,2010,Measles,Respiratory,16.23,5.7,5.89,0-18,Female,678228,89.02,1.96,6.36,Medication,31114.0,Yes,93.05,4795.0,9.73,74210.0,0.62,83.2 +36806,Mexico,2017,Leprosy,Respiratory,10.77,14.41,3.32,0-18,Other,936644,59.52,2.97,1.44,Therapy,29905.0,Yes,60.01,3211.0,5.53,68905.0,0.81,83.49 +36807,Argentina,2024,Alzheimer's Disease,Infectious,3.62,9.67,4.65,0-18,Male,777553,95.03,0.6,6.98,Vaccination,42834.0,Yes,52.64,2605.0,5.54,39856.0,0.43,73.52 +36811,Russia,2000,Hepatitis,Autoimmune,14.91,6.65,8.91,61+,Male,518577,94.07,4.49,8.62,Medication,37633.0,No,86.68,2187.0,5.34,12358.0,0.55,27.43 +36822,Argentina,2015,COVID-19,Parasitic,9.44,14.56,0.38,0-18,Male,546137,59.93,4.87,9.85,Medication,37456.0,Yes,65.46,3333.0,1.2,79537.0,0.75,23.5 +36830,Germany,2007,Hepatitis,Cardiovascular,11.51,8.04,5.4,36-60,Other,221172,74.79,3.48,5.59,Vaccination,39839.0,Yes,54.28,1066.0,3.94,7312.0,0.83,71.37 +36837,Australia,2007,Hepatitis,Infectious,17.37,11.28,1.8,61+,Male,815672,95.85,2.26,7.89,Vaccination,11551.0,No,81.87,2253.0,9.81,97878.0,0.66,50.56 +36844,India,2003,HIV/AIDS,Genetic,7.96,13.24,6.23,36-60,Female,443337,68.18,4.69,4.29,Therapy,41109.0,No,90.49,1436.0,9.94,12616.0,0.84,36.13 +36847,South Africa,2021,Malaria,Autoimmune,9.16,5.46,7.11,0-18,Other,527491,75.12,3.28,2.43,Surgery,24608.0,No,86.68,1185.0,7.75,25560.0,0.71,26.75 +36849,France,2016,Cholera,Metabolic,11.96,8.68,4.07,19-35,Other,861552,87.57,1.31,6.35,Vaccination,41298.0,No,61.75,1956.0,9.77,58757.0,0.74,59.84 +36853,South Africa,2021,Polio,Parasitic,12.81,13.84,2.82,36-60,Female,484325,71.26,0.69,9.97,Therapy,39284.0,No,86.39,2571.0,2.42,45402.0,0.89,70.86 +36863,Mexico,2018,Alzheimer's Disease,Chronic,10.16,2.32,0.72,0-18,Female,430229,78.09,4.96,9.2,Vaccination,21712.0,Yes,73.65,4203.0,1.17,17328.0,0.55,36.62 +36873,Australia,2020,Measles,Cardiovascular,5.66,8.29,6.06,36-60,Other,781838,79.17,3.26,9.14,Therapy,19552.0,Yes,83.03,653.0,7.91,64957.0,0.53,88.77 +36876,Turkey,2004,Rabies,Respiratory,12.79,2.51,2.62,61+,Other,248778,90.69,1.27,1.63,Medication,42692.0,Yes,67.51,3368.0,3.55,66909.0,0.57,56.82 +36878,South Korea,2019,Ebola,Metabolic,7.09,2.9,6.66,0-18,Other,174869,66.6,4.53,4.41,Vaccination,21989.0,Yes,85.36,4007.0,0.11,20616.0,0.84,44.35 +36885,China,2021,COVID-19,Infectious,11.98,5.43,6.65,19-35,Male,410262,71.42,0.59,6.39,Surgery,35459.0,Yes,84.88,2938.0,8.61,86592.0,0.69,25.27 +36886,Italy,2017,Diabetes,Parasitic,15.86,10.28,7.84,36-60,Male,904301,56.73,3.48,6.8,Vaccination,38835.0,Yes,89.81,2545.0,8.3,92740.0,0.82,87.76 +36888,South Korea,2009,HIV/AIDS,Infectious,12.02,8.1,2.78,61+,Other,10337,89.55,1.45,8.08,Surgery,16753.0,Yes,61.14,2157.0,5.43,12021.0,0.81,56.14 +36894,China,2005,Ebola,Viral,10.24,14.12,2.19,19-35,Female,327153,99.5,4.49,5.17,Surgery,6073.0,No,66.81,3010.0,9.63,73989.0,0.42,77.02 +36909,Turkey,2014,Tuberculosis,Cardiovascular,6.53,5.38,3.97,19-35,Other,572703,97.15,1.9,0.66,Vaccination,27538.0,Yes,53.58,109.0,3.33,15903.0,0.84,55.22 +36910,Indonesia,2013,Rabies,Viral,17.27,0.82,4.46,61+,Male,171980,91.47,4.68,0.83,Surgery,28533.0,Yes,95.95,12.0,2.88,54316.0,0.8,64.16 +36915,Canada,2010,Cancer,Neurological,19.69,1.2,7.03,19-35,Female,695560,89.08,3.52,1.4,Vaccination,49595.0,Yes,98.58,836.0,6.08,20882.0,0.57,65.16 +36927,France,2023,COVID-19,Respiratory,18.25,4.31,6.96,19-35,Male,619327,59.98,4.66,6.43,Vaccination,10520.0,No,51.8,334.0,8.89,8064.0,0.62,40.95 +36929,Australia,2004,Alzheimer's Disease,Respiratory,3.6,8.53,5.4,19-35,Male,423348,65.71,3.13,1.32,Medication,10047.0,No,91.16,4371.0,0.85,34507.0,0.79,45.52 +36933,Germany,2024,Leprosy,Respiratory,6.44,7.66,3.74,19-35,Male,890288,64.68,4.78,8.36,Medication,19125.0,Yes,69.4,403.0,2.08,26798.0,0.8,62.44 +36940,South Africa,2019,Alzheimer's Disease,Respiratory,11.3,11.18,6.88,0-18,Male,967353,81.86,3.42,0.9,Vaccination,22864.0,Yes,87.23,2827.0,6.46,21038.0,0.7,73.96 +36941,South Africa,2020,Dengue,Genetic,2.47,3.4,2.49,0-18,Female,819396,69.13,4.29,9.15,Vaccination,36100.0,Yes,74.07,4573.0,4.28,57336.0,0.7,47.57 +36943,Canada,2011,HIV/AIDS,Autoimmune,17.36,9.08,3.99,36-60,Other,2718,79.54,2.53,1.29,Vaccination,47180.0,Yes,69.37,3989.0,8.4,84957.0,0.74,29.0 +36955,Nigeria,2022,Measles,Infectious,9.94,13.3,9.87,61+,Male,860917,62.97,2.99,5.14,Medication,18656.0,Yes,60.55,156.0,0.26,79430.0,0.55,67.75 +36957,Mexico,2014,Tuberculosis,Viral,9.76,6.7,2.16,0-18,Female,708580,89.57,1.8,2.73,Therapy,30376.0,No,68.54,3490.0,1.38,2890.0,0.64,61.42 +36970,Germany,2019,Rabies,Parasitic,10.55,13.21,3.11,0-18,Male,327130,82.34,3.15,4.25,Medication,32169.0,No,85.66,193.0,7.61,6978.0,0.85,69.33 +36971,Australia,2004,Ebola,Infectious,1.97,8.27,8.39,0-18,Male,167702,71.08,1.45,6.46,Vaccination,9523.0,No,92.0,356.0,4.87,44870.0,0.8,65.84 +36978,Italy,2016,Tuberculosis,Infectious,3.92,14.18,2.52,36-60,Other,235265,58.93,0.6,6.0,Surgery,38316.0,No,80.62,287.0,1.15,45498.0,0.47,60.92 +36982,Indonesia,2014,Diabetes,Neurological,2.52,9.31,4.01,36-60,Other,702444,62.01,1.39,6.16,Medication,46220.0,No,58.74,3363.0,6.78,83416.0,0.74,30.3 +36987,Japan,2004,Malaria,Infectious,6.46,4.57,1.09,0-18,Male,986589,50.31,2.33,5.97,Therapy,17818.0,Yes,68.67,3801.0,6.63,81637.0,0.79,35.73 +36988,South Korea,2015,Hypertension,Cardiovascular,10.81,14.28,4.45,36-60,Female,230783,59.12,3.66,5.4,Medication,12412.0,Yes,77.95,2808.0,4.35,96026.0,0.74,51.73 +36999,China,2021,Zika,Viral,7.82,10.26,9.45,0-18,Female,436833,95.43,4.17,3.23,Vaccination,14823.0,Yes,64.61,1578.0,4.31,17211.0,0.44,88.89 +37001,Russia,2000,Hypertension,Cardiovascular,2.01,5.48,2.32,36-60,Female,877922,99.73,1.26,4.1,Therapy,39313.0,Yes,56.99,1509.0,4.44,23023.0,0.58,79.82 +37006,Russia,2006,Hypertension,Autoimmune,9.48,3.59,6.47,36-60,Female,850430,63.0,1.65,8.37,Vaccination,40348.0,No,85.68,654.0,6.21,86197.0,0.74,67.87 +37047,USA,2007,Cholera,Cardiovascular,14.47,9.2,8.25,19-35,Female,544462,84.87,0.77,3.4,Medication,19716.0,No,76.64,4886.0,5.25,47089.0,0.76,33.02 +37049,Germany,2003,Parkinson's Disease,Parasitic,13.95,8.2,4.89,36-60,Male,871253,74.46,1.76,6.54,Medication,32868.0,No,52.69,3344.0,5.27,3405.0,0.65,39.43 +37052,Argentina,2019,Tuberculosis,Neurological,14.45,10.34,8.15,36-60,Other,248570,97.3,4.25,5.84,Vaccination,27878.0,No,71.1,2143.0,0.39,18434.0,0.84,65.71 +37055,Saudi Arabia,2024,Rabies,Infectious,4.96,12.58,4.34,36-60,Male,825544,57.32,4.22,0.56,Vaccination,3581.0,Yes,91.37,696.0,1.39,79452.0,0.7,70.75 +37056,Turkey,2021,Rabies,Autoimmune,19.56,6.29,7.6,19-35,Other,265981,80.52,2.47,6.58,Therapy,43539.0,Yes,60.03,142.0,8.78,85589.0,0.72,40.99 +37057,Indonesia,2017,Hepatitis,Bacterial,9.67,6.69,8.9,36-60,Female,674052,80.26,1.16,3.78,Vaccination,3876.0,Yes,61.93,1808.0,5.72,51700.0,0.6,42.46 +37059,Brazil,2001,Diabetes,Chronic,18.45,14.16,2.88,19-35,Other,88056,64.99,3.38,5.58,Surgery,41101.0,Yes,83.96,4378.0,1.61,56773.0,0.8,86.63 +37060,Italy,2022,Tuberculosis,Cardiovascular,18.79,3.55,8.98,0-18,Female,599313,80.0,4.53,9.76,Surgery,9212.0,No,58.08,2326.0,8.67,94097.0,0.74,29.98 +37062,Italy,2013,Parkinson's Disease,Parasitic,4.29,0.64,8.64,19-35,Female,340436,64.73,1.04,3.49,Vaccination,41985.0,No,62.11,1094.0,9.15,28462.0,0.85,74.31 +37069,Italy,2010,Cancer,Autoimmune,19.68,4.01,7.64,0-18,Other,607408,76.98,1.57,1.52,Surgery,13145.0,No,75.72,4421.0,4.23,12958.0,0.58,53.38 +37070,China,2004,Malaria,Viral,14.77,5.89,6.09,19-35,Female,927588,96.43,0.76,2.49,Surgery,5993.0,No,83.1,2198.0,6.59,96931.0,0.6,27.91 +37077,Canada,2022,Cholera,Chronic,2.47,10.51,5.04,0-18,Female,390969,93.31,2.64,7.46,Therapy,41275.0,No,90.17,1487.0,9.51,6573.0,0.57,64.35 +37093,Germany,2021,Zika,Infectious,6.2,8.6,6.72,19-35,Other,630214,80.96,3.96,1.83,Vaccination,33972.0,Yes,61.95,2161.0,6.93,24311.0,0.6,85.44 +37094,France,2008,Diabetes,Autoimmune,12.86,13.58,2.18,36-60,Male,812768,67.76,2.73,8.17,Medication,2281.0,No,51.13,4753.0,3.12,66116.0,0.44,40.06 +37095,South Africa,2013,Alzheimer's Disease,Parasitic,6.22,9.72,0.28,19-35,Male,952924,58.86,2.88,6.32,Surgery,7452.0,Yes,56.46,1394.0,4.09,91724.0,0.47,65.07 +37099,Mexico,2024,Tuberculosis,Bacterial,1.86,3.21,0.31,19-35,Other,656699,55.07,0.82,5.01,Surgery,5973.0,No,60.04,2568.0,6.66,16138.0,0.47,68.41 +37112,Indonesia,2015,Parkinson's Disease,Bacterial,7.37,6.15,5.28,19-35,Other,257949,64.38,4.69,5.98,Vaccination,12423.0,Yes,92.42,4959.0,7.64,21224.0,0.9,81.19 +37119,Brazil,2008,Asthma,Viral,8.7,12.12,1.32,61+,Female,74895,84.92,1.44,5.97,Medication,35463.0,Yes,72.24,4006.0,2.67,89893.0,0.41,62.75 +37121,Brazil,2014,Asthma,Genetic,10.86,6.95,2.16,61+,Female,386141,86.27,4.94,7.39,Medication,26099.0,Yes,88.94,4935.0,9.73,78333.0,0.87,49.78 +37124,China,2024,Hypertension,Autoimmune,8.45,0.33,1.57,19-35,Other,34370,55.73,2.79,7.2,Therapy,34139.0,Yes,94.11,3087.0,7.6,53902.0,0.69,32.09 +37129,China,2009,Malaria,Neurological,8.08,8.21,8.65,19-35,Female,94028,90.68,1.31,0.99,Vaccination,297.0,Yes,85.64,4236.0,7.41,21614.0,0.9,45.27 +37130,Mexico,2010,Leprosy,Cardiovascular,17.9,2.08,9.72,61+,Male,484620,52.74,5.0,9.86,Medication,622.0,No,90.19,4540.0,6.31,53454.0,0.5,56.31 +37132,Germany,2008,Rabies,Neurological,6.68,9.49,0.91,19-35,Male,515711,78.49,4.96,6.65,Vaccination,7843.0,No,70.06,4536.0,5.91,94551.0,0.55,24.67 +37134,Canada,2004,Measles,Bacterial,11.24,11.31,9.37,36-60,Other,552608,93.84,1.8,8.1,Therapy,29907.0,No,90.18,2778.0,3.69,64356.0,0.53,25.95 +37136,Italy,2024,Cholera,Metabolic,4.99,9.52,7.27,0-18,Other,459929,54.38,0.52,6.67,Medication,14547.0,Yes,80.27,1427.0,1.77,88844.0,0.81,53.66 +37139,China,2002,Alzheimer's Disease,Respiratory,4.28,1.29,8.83,0-18,Other,210217,69.04,4.92,6.04,Therapy,47954.0,No,98.49,4572.0,2.64,3249.0,0.4,20.03 +37140,Australia,2009,Measles,Chronic,19.92,7.43,9.41,0-18,Other,98913,56.91,0.73,4.8,Surgery,47100.0,Yes,97.16,1449.0,0.33,19187.0,0.59,81.78 +37143,Japan,2002,Diabetes,Neurological,4.3,9.5,8.94,0-18,Other,404466,74.59,2.6,1.66,Medication,25363.0,Yes,85.23,1766.0,7.21,83810.0,0.57,75.49 +37147,Nigeria,2023,Parkinson's Disease,Neurological,5.99,9.41,0.75,0-18,Male,872276,98.31,1.38,5.62,Vaccination,1701.0,No,80.15,2026.0,5.08,92489.0,0.71,34.13 +37150,Turkey,2016,Malaria,Metabolic,7.51,4.45,6.27,61+,Other,930312,79.54,0.68,6.73,Medication,2698.0,Yes,52.84,1555.0,6.68,48087.0,0.65,20.33 +37153,Japan,2017,Parkinson's Disease,Infectious,13.51,11.99,5.11,0-18,Female,763656,67.16,2.98,1.59,Medication,48895.0,No,56.89,3937.0,9.02,80920.0,0.55,84.3 +37158,Saudi Arabia,2023,Asthma,Genetic,19.65,2.18,7.18,0-18,Other,72625,90.76,1.02,7.75,Vaccination,21850.0,Yes,58.07,715.0,0.48,41074.0,0.51,41.5 +37163,Canada,2013,HIV/AIDS,Respiratory,5.02,2.09,0.17,61+,Female,738937,91.32,0.83,8.83,Therapy,14721.0,Yes,69.73,1502.0,7.41,31304.0,0.42,49.36 +37164,Nigeria,2013,Cancer,Bacterial,0.6,13.65,7.44,61+,Male,115094,57.02,4.58,8.26,Vaccination,17056.0,No,92.96,2058.0,9.11,40784.0,0.44,22.66 +37188,Nigeria,2001,Tuberculosis,Bacterial,1.88,11.34,1.97,36-60,Other,699780,90.15,1.39,3.16,Medication,24429.0,No,51.85,1435.0,1.36,67815.0,0.67,67.27 +37191,Argentina,2007,HIV/AIDS,Neurological,4.69,13.12,4.04,0-18,Other,63948,60.69,4.33,8.98,Surgery,177.0,No,69.23,1593.0,2.66,40037.0,0.57,21.28 +37192,Turkey,2019,HIV/AIDS,Chronic,8.76,5.52,2.63,61+,Other,889707,55.55,4.79,3.5,Surgery,17790.0,No,91.24,1347.0,9.9,26178.0,0.77,59.72 +37195,Indonesia,2000,Alzheimer's Disease,Autoimmune,7.29,4.76,4.1,36-60,Other,240975,81.47,1.57,7.85,Therapy,37550.0,No,51.28,3866.0,4.35,93810.0,0.7,25.49 +37200,Japan,2014,Dengue,Neurological,16.62,14.73,9.63,0-18,Male,700242,72.36,4.08,4.37,Surgery,15315.0,Yes,81.19,3665.0,3.58,571.0,0.89,33.68 +37201,Russia,2004,Polio,Parasitic,19.52,13.31,4.58,19-35,Male,373216,65.71,4.99,4.93,Surgery,8272.0,Yes,55.68,4617.0,7.93,54569.0,0.48,43.5 +37209,South Africa,2022,Alzheimer's Disease,Metabolic,18.65,10.54,1.09,0-18,Other,541192,73.11,3.97,9.29,Therapy,19928.0,Yes,58.8,4206.0,8.6,45631.0,0.65,72.91 +37210,Italy,2012,Dengue,Metabolic,13.21,12.09,7.09,19-35,Other,773291,90.97,2.56,1.04,Therapy,44131.0,Yes,59.72,1463.0,8.99,49794.0,0.45,22.36 +37212,Saudi Arabia,2017,Diabetes,Genetic,1.46,11.11,7.13,61+,Male,455195,73.07,4.52,5.72,Therapy,31431.0,Yes,91.32,3754.0,2.03,15316.0,0.86,76.3 +37213,Argentina,2008,Zika,Genetic,7.49,14.5,3.65,19-35,Other,439450,61.4,4.74,1.76,Vaccination,17691.0,Yes,59.89,4355.0,6.67,48813.0,0.83,77.4 +37215,UK,2008,Rabies,Metabolic,12.57,13.93,9.03,19-35,Male,97923,55.8,4.12,1.62,Surgery,41443.0,Yes,53.13,1880.0,6.21,17028.0,0.62,78.41 +37217,Mexico,2014,Measles,Chronic,14.41,11.71,1.94,19-35,Male,733710,64.07,1.83,1.6,Surgery,14068.0,Yes,68.37,70.0,2.5,64408.0,0.68,68.89 +37224,South Africa,2012,Hypertension,Viral,11.83,5.1,8.42,61+,Male,225014,55.08,2.31,2.39,Surgery,14158.0,Yes,93.51,575.0,6.71,13079.0,0.79,24.72 +37225,South Korea,2009,HIV/AIDS,Parasitic,9.74,10.4,6.42,61+,Male,75901,86.09,3.92,1.26,Vaccination,48306.0,No,58.68,4935.0,7.06,92353.0,0.87,89.53 +37231,China,2007,Parkinson's Disease,Autoimmune,4.44,4.9,4.55,61+,Female,176864,84.67,1.96,8.45,Vaccination,36401.0,No,81.08,4893.0,0.29,46814.0,0.63,65.86 +37232,Turkey,2005,Influenza,Chronic,4.74,9.27,9.42,0-18,Male,947353,89.08,0.66,4.2,Vaccination,1224.0,No,73.5,310.0,4.31,8483.0,0.48,62.65 +37238,Germany,2007,HIV/AIDS,Respiratory,15.76,8.02,8.38,19-35,Female,422173,51.92,4.14,2.73,Vaccination,4751.0,Yes,63.06,1872.0,0.55,66494.0,0.62,21.05 +37243,Japan,2013,Zika,Infectious,9.45,11.55,5.2,19-35,Male,590537,71.06,2.7,0.58,Vaccination,17851.0,Yes,87.11,662.0,1.02,64081.0,0.86,82.64 +37254,Australia,2017,Measles,Metabolic,8.6,12.66,4.76,61+,Male,824502,99.94,3.84,4.46,Therapy,12999.0,No,87.49,2623.0,1.11,85557.0,0.8,59.08 +37259,Canada,2017,Hypertension,Bacterial,12.05,6.8,6.88,36-60,Female,575181,70.49,1.67,3.33,Vaccination,38132.0,Yes,68.02,2301.0,2.5,22960.0,0.58,62.58 +37262,France,2020,Ebola,Infectious,2.75,10.95,0.7,61+,Other,732274,84.62,3.81,3.53,Vaccination,16675.0,No,55.02,176.0,4.14,58860.0,0.71,56.03 +37264,Argentina,2023,Asthma,Neurological,19.12,10.22,8.1,19-35,Other,440257,88.46,0.66,4.21,Therapy,5761.0,No,89.64,3788.0,1.68,17385.0,0.58,36.54 +37274,Saudi Arabia,2024,Asthma,Neurological,18.09,10.06,3.94,61+,Male,761004,66.6,3.62,3.69,Therapy,43929.0,No,65.21,1821.0,1.87,42272.0,0.58,89.55 +37281,Japan,2003,Cholera,Respiratory,3.09,8.68,9.9,0-18,Male,838213,82.14,0.67,3.97,Therapy,38391.0,Yes,79.98,3374.0,3.09,29219.0,0.78,37.78 +37285,Russia,2013,Measles,Metabolic,4.66,10.9,9.28,36-60,Male,287164,66.09,3.84,9.92,Medication,37688.0,Yes,82.77,4499.0,3.83,29279.0,0.55,37.66 +37290,Argentina,2007,Asthma,Viral,6.25,4.98,9.79,61+,Female,854362,63.37,4.26,4.52,Vaccination,8752.0,No,59.47,3707.0,6.67,73739.0,0.5,79.2 +37292,Saudi Arabia,2017,Measles,Parasitic,11.39,1.01,5.4,19-35,Other,47171,96.89,3.18,4.96,Vaccination,29648.0,No,89.88,3512.0,5.93,37612.0,0.51,56.16 +37299,Nigeria,2014,Asthma,Chronic,9.82,10.87,7.7,61+,Male,141049,86.01,2.71,5.15,Therapy,37353.0,No,85.53,2075.0,2.55,27234.0,0.79,24.02 +37300,France,2010,HIV/AIDS,Autoimmune,14.18,1.45,8.79,19-35,Female,800910,51.05,1.92,3.2,Vaccination,5899.0,Yes,54.81,3726.0,1.94,88616.0,0.54,43.84 +37319,Argentina,2000,HIV/AIDS,Viral,2.44,3.41,9.79,0-18,Female,436338,83.61,4.79,3.59,Therapy,37521.0,Yes,69.47,617.0,2.08,89805.0,0.52,80.87 +37328,South Korea,2001,Cancer,Chronic,15.73,8.6,1.96,36-60,Female,443768,93.41,4.22,6.69,Therapy,25749.0,No,62.58,1992.0,0.99,16275.0,0.78,31.79 +37337,Germany,2024,Influenza,Bacterial,6.82,9.42,2.41,61+,Female,944072,74.75,2.83,7.87,Surgery,31657.0,No,63.75,94.0,8.33,69175.0,0.49,20.07 +37338,Brazil,2016,Alzheimer's Disease,Chronic,14.4,3.15,8.56,19-35,Male,617022,90.55,2.39,2.35,Vaccination,46411.0,Yes,68.13,806.0,1.02,22132.0,0.74,37.55 +37341,South Korea,2007,Rabies,Respiratory,10.02,12.65,3.99,36-60,Other,369534,57.35,1.05,3.63,Therapy,31350.0,No,57.69,2085.0,7.34,33456.0,0.67,56.01 +37342,Nigeria,2012,COVID-19,Infectious,11.79,13.1,2.77,19-35,Male,430966,66.87,3.92,3.5,Therapy,35959.0,No,97.66,77.0,1.28,9647.0,0.57,83.19 +37354,Mexico,2022,Asthma,Parasitic,18.48,13.69,9.24,19-35,Female,652319,97.27,1.4,2.39,Medication,21401.0,Yes,52.59,2458.0,7.79,60955.0,0.85,22.19 +37355,Australia,2015,Measles,Infectious,8.72,10.61,1.4,36-60,Other,703712,76.88,3.42,2.08,Surgery,46583.0,Yes,59.77,1828.0,6.53,42635.0,0.58,76.02 +37359,India,2014,Malaria,Neurological,1.26,13.36,2.87,61+,Male,211917,86.2,2.35,8.04,Medication,1748.0,Yes,84.88,3582.0,3.54,67886.0,0.48,88.39 +37364,Brazil,2021,Hypertension,Infectious,12.9,9.38,5.58,61+,Other,38730,75.52,3.18,6.02,Medication,19480.0,No,69.09,1673.0,3.9,8341.0,0.56,75.37 +37365,Australia,2022,Measles,Neurological,11.22,0.61,2.63,36-60,Female,281338,57.27,1.93,8.63,Vaccination,7848.0,No,53.71,1274.0,9.78,85397.0,0.53,84.34 +37369,India,2000,Asthma,Bacterial,9.27,13.68,1.5,36-60,Female,36228,60.66,1.16,5.42,Medication,846.0,Yes,95.17,4214.0,9.87,60271.0,0.59,83.08 +37373,USA,2007,Parkinson's Disease,Parasitic,0.98,13.13,0.4,19-35,Other,692018,71.74,1.18,8.96,Surgery,18096.0,No,65.73,1582.0,6.23,4465.0,0.71,78.7 +37375,South Africa,2015,Zika,Bacterial,17.08,6.32,1.39,61+,Female,510449,51.07,1.27,5.85,Surgery,26215.0,No,75.55,3136.0,7.31,86623.0,0.52,58.26 +37381,Nigeria,2002,Tuberculosis,Neurological,1.72,13.44,2.32,0-18,Female,451493,62.66,1.13,2.37,Medication,35362.0,No,57.29,2081.0,0.14,20571.0,0.83,50.27 +37383,Mexico,2013,HIV/AIDS,Metabolic,1.18,8.72,1.8,36-60,Other,630001,83.77,3.64,0.92,Surgery,8918.0,No,78.14,2764.0,4.18,54255.0,0.58,45.76 +37389,France,2009,Cholera,Genetic,0.91,8.21,1.94,19-35,Other,457952,75.74,2.98,9.58,Therapy,15589.0,Yes,95.95,3127.0,9.02,67488.0,0.81,31.98 +37391,Turkey,2005,Rabies,Chronic,18.01,1.48,8.11,36-60,Female,851469,76.96,4.23,8.6,Therapy,4874.0,Yes,70.23,4732.0,3.5,97705.0,0.43,60.44 +37395,UK,2006,Diabetes,Autoimmune,15.9,11.45,8.99,0-18,Male,542223,97.54,2.6,3.89,Medication,42787.0,No,74.46,4328.0,1.86,94581.0,0.74,44.57 +37396,Russia,2007,COVID-19,Genetic,6.94,12.43,6.19,19-35,Other,307140,93.11,4.62,0.76,Therapy,19012.0,No,94.03,2957.0,9.01,43851.0,0.7,73.5 +37402,Nigeria,2019,Hepatitis,Bacterial,14.07,13.8,0.21,19-35,Other,795585,83.99,4.89,3.94,Surgery,31716.0,Yes,64.25,3776.0,4.03,6433.0,0.85,35.76 +37405,Italy,2013,Leprosy,Autoimmune,7.9,8.15,8.56,0-18,Female,145199,75.82,3.57,5.1,Medication,46406.0,No,97.1,4452.0,7.49,60117.0,0.41,30.97 +37412,Saudi Arabia,2011,Alzheimer's Disease,Autoimmune,2.4,12.8,9.93,0-18,Female,460669,81.19,2.62,6.56,Surgery,16430.0,No,79.43,875.0,7.67,37334.0,0.64,57.61 +37414,Turkey,2015,Dengue,Respiratory,6.99,14.95,4.15,61+,Female,183025,79.86,0.68,0.99,Surgery,14491.0,No,59.56,4796.0,3.52,75711.0,0.57,65.63 +37422,South Korea,2014,Polio,Bacterial,3.91,7.2,4.65,0-18,Other,530997,73.59,1.9,2.16,Vaccination,46045.0,Yes,72.02,1273.0,6.27,65474.0,0.77,39.28 +37425,Nigeria,2016,HIV/AIDS,Autoimmune,5.06,2.93,1.72,36-60,Other,873642,96.09,2.15,6.08,Surgery,4812.0,No,95.87,2531.0,4.13,58015.0,0.76,38.53 +37431,Brazil,2006,Dengue,Viral,17.58,14.96,5.67,0-18,Other,244177,95.09,4.08,9.82,Vaccination,31429.0,Yes,96.51,3587.0,0.1,62579.0,0.65,26.65 +37435,Australia,2014,Polio,Genetic,13.64,4.96,4.0,0-18,Other,272806,87.28,2.96,6.56,Surgery,30130.0,Yes,78.08,3956.0,7.6,42927.0,0.48,38.66 +37437,Australia,2023,COVID-19,Autoimmune,17.04,13.86,1.04,61+,Female,650029,56.89,1.23,9.68,Therapy,9548.0,Yes,59.14,1614.0,0.88,36734.0,0.72,53.26 +37439,Saudi Arabia,2016,Polio,Viral,12.05,10.56,2.5,61+,Male,348740,53.58,4.46,6.9,Medication,49454.0,No,71.18,2225.0,7.95,73415.0,0.57,67.47 +37440,UK,2018,Rabies,Genetic,16.36,10.88,4.76,36-60,Other,807898,69.98,0.72,7.73,Vaccination,27044.0,Yes,64.13,4678.0,4.01,27320.0,0.76,82.47 +37445,South Africa,2007,Rabies,Bacterial,5.25,1.46,4.28,61+,Other,696268,82.97,3.35,1.1,Therapy,8720.0,No,72.06,623.0,2.36,88942.0,0.53,26.7 +37448,South Africa,2008,Polio,Autoimmune,0.64,14.55,2.18,0-18,Other,900679,80.29,2.15,5.89,Surgery,25407.0,No,95.1,4283.0,5.75,48641.0,0.65,63.2 +37457,India,2007,Diabetes,Respiratory,19.59,13.4,1.97,36-60,Female,989470,84.08,4.97,9.0,Therapy,20783.0,Yes,60.72,496.0,2.29,99589.0,0.87,24.28 +37460,South Africa,2013,Leprosy,Neurological,10.91,2.57,3.3,0-18,Female,510860,55.26,2.91,7.69,Surgery,42499.0,No,79.87,183.0,6.77,62731.0,0.78,45.47 +37461,Italy,2004,Influenza,Genetic,3.02,0.46,7.64,0-18,Other,814991,79.96,4.64,3.62,Therapy,27466.0,No,83.04,4551.0,6.29,16968.0,0.56,44.01 +37463,Saudi Arabia,2001,Leprosy,Respiratory,19.88,5.42,5.41,36-60,Female,897547,66.11,1.45,3.93,Therapy,35935.0,No,78.94,2958.0,9.8,87462.0,0.83,67.01 +37485,Nigeria,2017,Polio,Respiratory,10.48,1.79,3.0,19-35,Other,419162,60.81,1.85,6.34,Surgery,37201.0,Yes,72.61,2149.0,1.84,82331.0,0.62,52.1 +37489,Australia,2009,Polio,Neurological,9.77,9.13,2.27,36-60,Male,177519,58.76,1.6,2.42,Vaccination,16125.0,No,85.92,2066.0,1.87,51791.0,0.65,44.79 +37494,China,2014,Alzheimer's Disease,Bacterial,18.64,5.48,9.82,61+,Female,771514,70.34,4.02,8.32,Therapy,47575.0,No,92.82,3189.0,5.52,10690.0,0.74,80.39 +37499,Canada,2015,Diabetes,Neurological,6.84,2.16,6.14,19-35,Male,998656,57.27,4.9,4.58,Vaccination,7098.0,Yes,66.43,1841.0,6.68,35281.0,0.45,42.34 +37506,Turkey,2007,Leprosy,Infectious,15.22,9.84,3.67,61+,Female,683815,73.66,2.04,9.05,Medication,49522.0,No,51.99,1947.0,3.94,81059.0,0.72,20.07 +37516,France,2004,COVID-19,Genetic,5.79,4.45,2.73,19-35,Male,82222,75.45,4.65,7.3,Medication,27084.0,Yes,94.74,4834.0,2.93,84981.0,0.84,51.54 +37517,Nigeria,2024,Alzheimer's Disease,Bacterial,3.21,8.35,2.12,36-60,Male,745367,71.81,3.43,4.25,Medication,13449.0,No,86.33,1338.0,3.0,40581.0,0.84,24.72 +37540,Argentina,2015,Hepatitis,Parasitic,14.46,10.15,6.59,36-60,Male,113598,52.7,1.3,0.96,Vaccination,19493.0,No,73.4,2702.0,8.31,36782.0,0.45,70.49 +37542,Italy,2011,Influenza,Bacterial,10.21,3.17,1.27,36-60,Male,230040,80.85,3.86,8.76,Therapy,6959.0,No,65.08,4551.0,5.72,84901.0,0.76,64.9 +37545,China,2005,Ebola,Autoimmune,19.2,12.89,9.59,19-35,Male,433594,68.44,1.59,7.47,Medication,46773.0,Yes,95.5,2104.0,9.95,19771.0,0.45,75.69 +37546,Argentina,2020,Cholera,Viral,2.53,2.15,5.82,19-35,Male,882171,71.89,4.82,3.49,Medication,19292.0,No,72.2,1952.0,0.53,30312.0,0.57,60.49 +37548,Argentina,2007,Diabetes,Infectious,13.94,12.13,5.14,0-18,Male,427901,94.55,4.01,9.99,Therapy,18227.0,Yes,76.68,3953.0,9.41,39951.0,0.68,30.08 +37555,Russia,2014,Hepatitis,Chronic,12.08,14.66,2.19,0-18,Female,104780,81.36,4.77,6.19,Surgery,13048.0,No,63.8,3923.0,2.52,86225.0,0.56,77.16 +37558,Mexico,2018,Ebola,Genetic,11.6,14.47,0.7,19-35,Female,267982,84.11,1.48,5.29,Medication,43001.0,Yes,81.86,4994.0,9.77,4703.0,0.73,64.62 +37559,Indonesia,2010,Tuberculosis,Cardiovascular,5.02,4.62,3.76,61+,Other,593981,67.68,0.78,8.44,Surgery,5655.0,No,76.65,4647.0,0.2,52422.0,0.58,36.74 +37570,France,2018,Hepatitis,Bacterial,11.88,1.04,6.39,36-60,Male,33566,63.52,1.76,9.06,Surgery,35434.0,Yes,62.91,1102.0,2.02,39894.0,0.8,26.9 +37571,Argentina,2002,Dengue,Infectious,6.83,9.12,6.52,0-18,Female,672645,61.48,4.61,1.87,Vaccination,41046.0,Yes,92.35,4770.0,7.3,11045.0,0.71,58.88 +37573,Japan,2008,Alzheimer's Disease,Infectious,11.11,4.48,2.39,36-60,Other,127914,56.51,3.33,2.65,Medication,31816.0,Yes,59.2,90.0,5.0,24083.0,0.81,33.6 +37579,Brazil,2008,Measles,Cardiovascular,3.81,6.82,9.95,19-35,Other,168595,90.08,4.14,8.76,Vaccination,41153.0,No,86.33,4004.0,5.96,42862.0,0.56,34.25 +37582,Russia,2023,Dengue,Genetic,14.51,11.17,7.18,0-18,Other,21675,71.92,2.11,2.06,Vaccination,8611.0,Yes,60.96,1296.0,9.77,28194.0,0.72,42.85 +37588,China,2023,Ebola,Cardiovascular,5.47,3.4,1.46,0-18,Other,395288,97.71,4.55,1.95,Therapy,36949.0,Yes,63.92,1944.0,9.2,85813.0,0.84,41.59 +37592,Nigeria,2013,Parkinson's Disease,Genetic,4.94,14.71,0.15,19-35,Male,602622,66.79,1.75,1.6,Medication,3263.0,No,67.16,3916.0,1.76,38216.0,0.89,31.05 +37604,Japan,2009,Malaria,Genetic,0.67,6.0,5.33,19-35,Other,369759,79.25,0.66,1.23,Vaccination,49809.0,Yes,64.88,1764.0,0.94,33538.0,0.49,68.1 +37607,USA,2018,Ebola,Bacterial,7.5,10.69,8.13,0-18,Other,192065,89.15,4.88,4.68,Therapy,6211.0,No,78.7,1606.0,2.74,39513.0,0.59,60.64 +37618,Brazil,2024,Measles,Respiratory,17.84,1.26,5.18,61+,Other,756516,82.16,4.07,6.22,Vaccination,2352.0,Yes,77.55,1109.0,3.03,41480.0,0.41,40.04 +37621,South Africa,2009,Rabies,Bacterial,5.37,13.57,6.57,36-60,Male,840205,96.48,2.09,4.8,Therapy,41609.0,No,54.0,4762.0,4.18,71136.0,0.7,79.25 +37622,UK,2014,Hepatitis,Cardiovascular,5.92,0.13,1.27,36-60,Male,812631,50.88,3.83,0.93,Therapy,39946.0,No,88.29,3585.0,5.27,99172.0,0.7,70.31 +37625,Brazil,2002,Leprosy,Genetic,9.2,6.73,0.3,19-35,Other,484890,63.72,2.95,6.41,Therapy,20240.0,No,97.61,377.0,9.85,43568.0,0.89,70.15 +37626,Russia,2005,Asthma,Respiratory,1.88,5.82,7.65,0-18,Female,391484,53.12,3.62,7.82,Vaccination,17623.0,No,63.89,2599.0,9.27,7265.0,0.69,29.63 +37629,Canada,2008,Rabies,Autoimmune,2.91,14.38,0.69,19-35,Female,908696,57.31,4.73,5.15,Therapy,42920.0,Yes,65.01,3617.0,8.87,65503.0,0.4,40.38 +37637,India,2007,Cholera,Metabolic,11.66,13.56,9.4,36-60,Female,601242,59.54,1.47,0.63,Therapy,7343.0,Yes,81.43,3373.0,4.78,74255.0,0.77,64.0 +37638,Turkey,2012,Parkinson's Disease,Viral,6.59,14.74,8.97,61+,Male,908057,89.99,4.2,7.41,Vaccination,18851.0,No,55.88,3767.0,1.97,62742.0,0.8,82.15 +37642,Brazil,2003,Dengue,Cardiovascular,0.41,5.09,8.18,0-18,Female,43888,59.77,4.58,6.76,Medication,2006.0,Yes,79.53,2821.0,2.78,33124.0,0.69,39.21 +37647,Nigeria,2016,Alzheimer's Disease,Bacterial,19.05,10.5,2.57,36-60,Male,138008,54.98,1.84,6.85,Vaccination,33476.0,No,62.26,2437.0,4.39,56031.0,0.77,64.1 +37653,Germany,2018,Measles,Metabolic,3.22,5.82,8.31,19-35,Other,432034,59.68,1.2,7.98,Surgery,21396.0,Yes,61.32,3929.0,2.88,70183.0,0.81,53.24 +37662,Indonesia,2003,Diabetes,Infectious,7.11,11.0,6.93,36-60,Male,424891,83.59,4.04,4.23,Vaccination,41607.0,No,54.46,1776.0,1.85,47963.0,0.62,56.88 +37663,India,2011,Parkinson's Disease,Metabolic,7.18,8.24,7.09,19-35,Other,625059,86.86,4.81,2.22,Surgery,11244.0,Yes,67.96,1115.0,4.86,33884.0,0.88,45.41 +37679,Canada,2014,Zika,Infectious,16.17,8.92,0.14,19-35,Female,868020,61.02,1.48,4.12,Surgery,18764.0,No,92.37,135.0,2.63,94868.0,0.75,33.49 +37685,Australia,2013,Cholera,Parasitic,17.05,12.26,8.85,0-18,Other,588053,56.6,3.52,4.72,Medication,47416.0,No,88.97,373.0,7.28,94700.0,0.44,20.11 +37693,Japan,2007,Dengue,Neurological,7.89,1.74,0.36,0-18,Other,142061,93.7,1.69,4.6,Surgery,48282.0,No,51.22,4742.0,6.06,34889.0,0.77,49.89 +37701,Canada,2005,Dengue,Bacterial,10.46,3.02,2.45,61+,Male,438014,73.64,1.75,7.83,Therapy,24763.0,Yes,86.52,1952.0,0.55,4648.0,0.72,41.29 +37714,India,2022,Measles,Autoimmune,6.57,8.51,9.96,36-60,Other,360770,70.39,4.56,6.55,Surgery,49035.0,No,85.3,318.0,7.84,22297.0,0.58,47.28 +37716,France,2019,Leprosy,Respiratory,16.92,9.53,3.55,61+,Male,640485,75.83,3.32,9.27,Surgery,14319.0,Yes,51.42,4421.0,1.17,94693.0,0.73,59.2 +37743,Italy,2020,Diabetes,Respiratory,14.31,1.95,6.24,36-60,Male,846216,56.94,3.6,8.7,Therapy,5321.0,Yes,71.53,4557.0,0.31,67611.0,0.48,48.61 +37744,USA,2013,Alzheimer's Disease,Metabolic,14.04,2.69,2.72,36-60,Female,90219,79.32,1.16,6.79,Vaccination,29147.0,Yes,88.25,1428.0,9.4,73054.0,0.84,57.26 +37758,UK,2006,Alzheimer's Disease,Infectious,3.4,6.09,9.71,19-35,Female,299640,56.77,2.14,8.66,Surgery,10273.0,Yes,90.65,4524.0,3.57,86717.0,0.8,88.68 +37760,USA,2020,Rabies,Autoimmune,4.5,3.61,6.14,19-35,Female,724221,96.25,1.46,6.27,Surgery,34962.0,Yes,69.64,1289.0,5.22,73049.0,0.69,68.0 +37761,Canada,2024,Cancer,Genetic,15.6,10.72,4.19,61+,Other,794566,95.45,2.4,2.5,Therapy,5697.0,Yes,98.44,4286.0,0.54,35379.0,0.69,48.44 +37765,Nigeria,2020,Malaria,Neurological,12.27,7.07,2.15,19-35,Female,956042,97.88,2.73,3.96,Medication,42539.0,No,64.28,3793.0,5.38,55258.0,0.74,78.17 +37771,India,2004,Measles,Parasitic,15.2,1.38,2.93,61+,Female,722212,79.21,2.26,1.58,Vaccination,8180.0,No,53.21,1004.0,2.62,4948.0,0.69,28.22 +37776,USA,2008,Cancer,Respiratory,19.34,3.52,3.02,19-35,Female,278181,52.04,0.61,4.36,Therapy,38814.0,Yes,71.18,966.0,5.38,28302.0,0.7,49.92 +37781,Brazil,2016,Zika,Metabolic,4.74,3.52,7.58,0-18,Other,113627,74.57,4.73,8.43,Therapy,44493.0,Yes,85.06,2623.0,4.11,67818.0,0.8,29.24 +37783,Mexico,2012,Hepatitis,Parasitic,0.92,5.71,3.84,19-35,Other,871999,85.93,3.59,7.09,Vaccination,8292.0,Yes,93.21,550.0,9.95,26925.0,0.53,40.35 +37784,South Africa,2022,Leprosy,Parasitic,6.9,14.63,8.83,0-18,Female,56388,56.13,2.48,3.53,Surgery,26241.0,No,64.14,1952.0,4.65,80477.0,0.65,56.09 +37785,USA,2024,Malaria,Metabolic,0.93,2.18,6.2,36-60,Male,312880,52.91,0.78,9.81,Surgery,24269.0,Yes,84.14,4552.0,5.68,93470.0,0.71,35.47 +37786,USA,2013,Leprosy,Viral,7.46,5.8,6.44,0-18,Other,909642,54.04,4.22,1.62,Medication,49480.0,No,90.55,913.0,2.4,95260.0,0.41,78.99 +37790,USA,2008,Diabetes,Chronic,4.53,7.34,2.83,19-35,Other,195516,70.69,3.99,9.22,Surgery,33291.0,Yes,65.58,2203.0,4.97,20586.0,0.72,43.95 +37791,Argentina,2010,Zika,Parasitic,6.25,3.56,3.06,36-60,Other,637742,85.68,2.32,1.7,Therapy,45198.0,Yes,98.86,4248.0,0.08,34761.0,0.42,26.92 +37801,Brazil,2002,Diabetes,Bacterial,3.07,7.36,8.35,19-35,Female,737533,88.18,4.56,4.23,Surgery,2795.0,Yes,67.5,3423.0,2.76,31373.0,0.7,39.13 +37805,Germany,2000,Diabetes,Viral,1.99,1.28,3.74,36-60,Male,252406,95.94,1.3,7.21,Surgery,16211.0,Yes,64.9,1118.0,3.15,85846.0,0.71,22.44 +37810,Saudi Arabia,2011,Influenza,Viral,11.63,9.54,3.37,0-18,Other,64947,69.04,1.22,5.61,Vaccination,38057.0,Yes,53.42,4419.0,7.59,41932.0,0.81,80.0 +37815,South Korea,2009,Polio,Bacterial,3.05,8.12,1.2,61+,Other,954383,73.2,4.61,7.3,Therapy,29886.0,Yes,54.9,1110.0,3.28,12179.0,0.47,54.99 +37819,South Korea,2010,COVID-19,Bacterial,1.52,7.03,8.54,0-18,Other,36340,55.71,3.17,6.38,Surgery,42001.0,No,66.1,2643.0,2.79,22299.0,0.47,81.51 +37827,Germany,2015,Tuberculosis,Cardiovascular,14.53,0.58,8.29,19-35,Male,383884,97.06,0.92,3.38,Medication,39190.0,Yes,52.58,3207.0,1.77,68863.0,0.55,28.73 +37832,UK,2011,Measles,Respiratory,15.79,6.72,8.39,36-60,Other,256759,68.56,3.45,8.23,Therapy,32620.0,No,98.55,4235.0,9.9,7031.0,0.77,78.69 +37834,India,2011,Ebola,Chronic,2.86,7.48,1.91,61+,Other,454795,72.33,3.28,8.87,Therapy,9573.0,No,51.83,81.0,8.83,57014.0,0.74,37.42 +37844,Japan,2011,Polio,Genetic,9.54,2.24,8.61,61+,Female,694819,83.08,2.01,9.63,Surgery,25398.0,Yes,91.77,1902.0,9.37,28903.0,0.83,52.02 +37846,Nigeria,2003,Alzheimer's Disease,Bacterial,15.53,1.95,4.24,61+,Female,953352,99.82,1.0,7.7,Therapy,27513.0,Yes,53.65,2867.0,2.62,8925.0,0.43,57.2 +37848,Germany,2021,Parkinson's Disease,Viral,17.75,12.53,5.38,0-18,Male,794355,79.21,1.95,4.29,Surgery,6726.0,Yes,81.24,4270.0,9.87,30691.0,0.56,34.76 +37850,USA,2020,Asthma,Autoimmune,14.1,5.38,1.28,36-60,Female,62248,71.17,0.53,8.85,Therapy,34664.0,Yes,94.85,1337.0,7.48,13342.0,0.82,53.81 +37853,Canada,2002,Rabies,Autoimmune,19.86,4.58,5.59,0-18,Female,107977,60.91,1.87,2.12,Medication,11844.0,Yes,79.32,617.0,4.75,22923.0,0.86,68.97 +37854,UK,2022,Leprosy,Bacterial,7.79,0.67,8.74,19-35,Male,251979,80.32,1.92,8.38,Vaccination,34694.0,No,68.36,1401.0,1.49,3108.0,0.86,50.01 +37859,Canada,2021,Alzheimer's Disease,Infectious,12.29,1.1,7.55,0-18,Other,534915,64.22,3.72,8.42,Surgery,39870.0,Yes,92.0,356.0,0.71,10261.0,0.4,66.5 +37861,South Korea,2015,Influenza,Neurological,1.15,3.2,4.26,61+,Other,65314,94.16,2.09,1.63,Medication,11345.0,No,51.96,4825.0,8.41,1710.0,0.8,70.75 +37863,Canada,2017,HIV/AIDS,Infectious,12.03,11.67,9.68,36-60,Male,316276,69.4,4.48,9.2,Therapy,17246.0,Yes,86.47,2192.0,0.43,55339.0,0.53,74.92 +37872,USA,2018,Ebola,Respiratory,17.45,5.98,4.6,19-35,Male,796238,94.31,4.75,5.47,Therapy,10075.0,Yes,94.14,4915.0,9.49,51005.0,0.83,41.53 +37875,Saudi Arabia,2012,Ebola,Viral,3.05,13.76,7.64,0-18,Other,88241,97.48,1.03,5.13,Surgery,30072.0,No,59.43,3492.0,9.07,81526.0,0.44,28.67 +37881,India,2004,Cancer,Parasitic,18.22,2.09,6.32,19-35,Female,694191,69.76,0.63,5.01,Therapy,30356.0,Yes,74.2,2190.0,3.22,15408.0,0.71,86.54 +37890,Indonesia,2004,Measles,Bacterial,8.62,10.54,0.23,61+,Male,128806,52.56,4.33,2.49,Surgery,11417.0,No,85.58,4351.0,0.48,7290.0,0.72,29.57 +37899,Argentina,2020,Asthma,Autoimmune,3.83,3.1,7.24,61+,Other,469766,64.08,4.4,6.06,Surgery,17031.0,Yes,80.67,434.0,3.36,25353.0,0.86,88.85 +37902,Russia,2015,Parkinson's Disease,Cardiovascular,0.13,14.29,0.15,0-18,Other,292213,89.87,2.4,5.64,Therapy,23088.0,No,85.84,1527.0,8.86,48374.0,0.47,43.81 +37925,USA,2004,Parkinson's Disease,Autoimmune,7.8,7.16,0.8,36-60,Male,664156,87.01,2.24,9.86,Therapy,41835.0,No,80.04,395.0,1.45,21358.0,0.71,22.16 +37928,Australia,2015,Leprosy,Respiratory,15.32,1.41,1.1,19-35,Other,144632,74.1,3.95,7.26,Surgery,28668.0,Yes,60.65,992.0,1.79,24132.0,0.72,67.64 +37939,Germany,2016,Asthma,Genetic,1.83,8.84,5.72,0-18,Male,301250,57.34,2.9,9.35,Surgery,49556.0,No,63.65,3223.0,4.05,23334.0,0.82,89.99 +37940,Nigeria,2018,Hypertension,Chronic,3.16,7.48,6.09,0-18,Male,265872,50.67,4.49,6.38,Vaccination,22123.0,No,61.96,1551.0,6.01,80059.0,0.79,40.19 +37957,UK,2001,HIV/AIDS,Autoimmune,18.42,1.25,1.4,61+,Female,7147,86.04,4.17,7.36,Therapy,14670.0,No,74.29,1083.0,0.29,13377.0,0.66,87.55 +37961,Brazil,2010,Dengue,Metabolic,19.22,1.69,5.13,61+,Female,439724,99.65,0.65,3.5,Surgery,32436.0,No,62.87,2008.0,1.42,11895.0,0.48,83.31 +37962,Saudi Arabia,2014,Malaria,Neurological,6.39,0.55,7.85,36-60,Other,523061,61.95,3.24,8.75,Surgery,14434.0,No,97.66,4860.0,2.44,35378.0,0.63,36.68 +37964,Argentina,2015,Cancer,Chronic,8.73,9.74,5.34,36-60,Male,494743,60.04,3.68,3.44,Medication,3211.0,No,98.99,3375.0,6.24,98820.0,0.74,64.62 +37976,South Korea,2000,HIV/AIDS,Genetic,17.12,5.94,8.11,0-18,Male,951203,75.2,1.49,5.7,Surgery,41245.0,No,87.8,4225.0,8.3,89860.0,0.83,26.72 +37981,Japan,2002,Leprosy,Genetic,11.24,12.15,2.79,61+,Female,317542,98.33,1.9,6.3,Vaccination,13302.0,No,70.12,2881.0,6.99,29654.0,0.62,35.61 +37997,India,2010,Malaria,Parasitic,7.59,5.67,0.75,36-60,Other,906274,67.67,1.94,6.58,Therapy,19547.0,No,52.27,3183.0,7.36,68893.0,0.58,65.01 +37998,India,2002,Tuberculosis,Cardiovascular,11.0,6.96,4.91,19-35,Other,176469,83.18,4.56,9.16,Therapy,16886.0,No,55.98,2201.0,7.13,46088.0,0.56,75.47 +37999,India,2010,Polio,Neurological,19.77,0.77,6.64,61+,Male,113955,59.35,2.21,2.09,Vaccination,29714.0,No,83.53,3180.0,7.59,18129.0,0.73,32.57 +38000,UK,2005,Measles,Infectious,0.21,1.57,3.58,19-35,Female,934191,95.58,2.16,7.67,Therapy,36625.0,No,80.83,4200.0,0.05,65651.0,0.66,31.46 +38003,Japan,2014,Rabies,Neurological,8.69,9.57,6.0,19-35,Other,447965,99.64,3.76,4.4,Vaccination,4135.0,No,61.95,3676.0,5.25,6974.0,0.81,84.52 +38019,Saudi Arabia,2020,Alzheimer's Disease,Cardiovascular,6.77,14.4,5.28,36-60,Male,953541,68.5,3.59,6.89,Surgery,2917.0,Yes,73.39,2592.0,5.52,49853.0,0.53,60.29 +38022,Turkey,2022,Hepatitis,Cardiovascular,11.29,10.19,2.22,36-60,Other,941328,80.88,3.11,4.34,Therapy,4911.0,Yes,51.98,654.0,0.55,71604.0,0.87,26.37 +38028,Italy,2015,Tuberculosis,Chronic,15.4,13.23,4.25,0-18,Female,645119,74.74,0.85,8.4,Therapy,15443.0,Yes,51.06,1544.0,0.99,23927.0,0.49,73.32 +38038,Australia,2006,Influenza,Metabolic,5.45,9.47,0.25,61+,Other,71097,73.11,3.72,5.45,Surgery,30148.0,Yes,53.33,4712.0,3.11,931.0,0.78,89.34 +38043,China,2017,Hypertension,Chronic,10.76,10.11,9.83,36-60,Female,625139,61.23,0.95,1.35,Vaccination,10730.0,Yes,88.52,1465.0,9.35,30225.0,0.84,64.03 +38047,Argentina,2007,Asthma,Bacterial,15.21,11.79,0.34,0-18,Other,474229,87.03,3.11,2.16,Vaccination,36224.0,Yes,83.13,1098.0,8.11,53243.0,0.83,89.96 +38048,Brazil,2021,Asthma,Metabolic,5.79,10.09,2.38,19-35,Male,910810,98.67,3.98,9.42,Therapy,21439.0,No,79.1,3379.0,7.72,69778.0,0.71,28.23 +38051,Germany,2004,Ebola,Neurological,2.59,14.78,8.22,0-18,Male,620335,82.88,2.96,5.31,Vaccination,35283.0,Yes,92.76,4153.0,1.21,82655.0,0.57,44.53 +38060,Nigeria,2000,Measles,Metabolic,6.75,7.6,1.0,19-35,Other,455629,97.48,1.64,9.17,Therapy,37664.0,No,69.86,4981.0,8.84,19843.0,0.44,77.46 +38062,Italy,2007,Measles,Genetic,2.78,6.79,1.97,61+,Female,877983,61.83,1.36,5.66,Surgery,33199.0,Yes,87.1,1558.0,4.88,23893.0,0.59,29.9 +38071,Saudi Arabia,2005,Cholera,Infectious,17.22,4.66,6.47,36-60,Other,749045,97.37,1.88,1.83,Surgery,45492.0,No,79.31,1460.0,9.93,46221.0,0.78,55.19 +38073,Turkey,2023,Dengue,Neurological,6.37,12.79,9.69,61+,Female,894564,60.57,1.3,8.47,Medication,2445.0,No,52.51,4645.0,5.4,90962.0,0.65,79.14 +38074,Indonesia,2014,Hypertension,Parasitic,4.72,4.42,3.14,0-18,Male,602678,78.97,4.27,3.2,Therapy,25000.0,No,82.67,697.0,0.56,15538.0,0.63,51.24 +38075,Nigeria,2017,Leprosy,Genetic,19.25,14.43,3.49,36-60,Male,662803,52.47,4.09,7.42,Therapy,26971.0,Yes,57.82,2691.0,1.83,23387.0,0.47,53.75 +38076,India,2023,Hypertension,Parasitic,3.46,8.76,3.25,19-35,Male,457808,79.57,3.29,4.25,Therapy,34548.0,Yes,94.57,3052.0,1.79,11721.0,0.7,22.27 +38082,South Korea,2016,Hepatitis,Genetic,19.58,7.92,8.86,0-18,Other,585909,59.37,1.96,0.6,Therapy,37393.0,Yes,65.35,362.0,8.9,32386.0,0.83,62.87 +38087,Argentina,2020,Measles,Viral,2.75,8.35,6.58,61+,Other,15601,51.87,4.63,2.27,Therapy,28412.0,Yes,58.69,521.0,0.66,70006.0,0.8,60.7 +38089,India,2003,Hepatitis,Bacterial,8.4,8.91,6.37,19-35,Other,808441,56.25,1.43,3.81,Vaccination,26840.0,Yes,89.82,3802.0,1.37,2740.0,0.79,34.49 +38094,UK,2022,Cholera,Cardiovascular,15.43,4.59,0.72,36-60,Female,741361,68.91,4.66,7.88,Therapy,12790.0,No,92.16,3579.0,0.75,36413.0,0.54,76.2 +38097,Russia,2018,Tuberculosis,Metabolic,8.36,0.93,8.33,36-60,Female,39366,86.93,2.76,6.13,Medication,27066.0,No,86.83,3886.0,5.14,23314.0,0.8,80.94 +38115,Argentina,2018,Asthma,Cardiovascular,19.49,3.22,8.68,0-18,Other,525806,97.76,2.56,7.46,Medication,20760.0,No,83.89,4067.0,5.8,89489.0,0.5,67.83 +38124,Mexico,2012,Tuberculosis,Cardiovascular,3.19,9.9,9.98,61+,Male,510495,87.88,4.28,4.21,Surgery,36245.0,No,73.45,4585.0,6.29,1808.0,0.66,50.2 +38126,UK,2021,Malaria,Bacterial,17.23,6.33,9.91,0-18,Female,404024,83.01,3.03,8.39,Vaccination,44463.0,Yes,54.85,3877.0,9.83,99384.0,0.5,34.5 +38136,Argentina,2024,Asthma,Viral,5.03,10.38,4.06,0-18,Male,479650,77.64,4.0,1.78,Medication,929.0,No,55.36,4078.0,8.71,56332.0,0.58,49.11 +38137,Brazil,2005,Dengue,Genetic,3.3,12.98,3.08,36-60,Male,772054,88.81,0.91,1.37,Surgery,7107.0,No,87.39,2065.0,8.75,24136.0,0.47,32.11 +38138,Nigeria,2005,Alzheimer's Disease,Genetic,13.07,0.72,9.7,0-18,Female,120176,54.59,3.57,3.85,Therapy,12894.0,No,60.38,2322.0,3.81,49511.0,0.73,64.75 +38150,India,2005,Parkinson's Disease,Parasitic,10.06,6.73,7.26,19-35,Female,182147,70.67,0.86,1.79,Medication,6490.0,Yes,86.69,1429.0,4.2,28696.0,0.59,87.63 +38158,Canada,2006,Asthma,Viral,15.96,13.27,3.78,19-35,Other,734688,71.28,2.43,3.49,Medication,27940.0,Yes,96.41,965.0,7.31,81212.0,0.47,20.16 +38160,Brazil,2007,Diabetes,Autoimmune,6.98,1.6,4.55,36-60,Other,245253,96.09,4.23,3.05,Vaccination,2923.0,No,59.98,2280.0,5.71,54885.0,0.72,46.42 +38162,Argentina,2009,Rabies,Respiratory,16.57,8.83,1.97,0-18,Male,692024,58.27,2.04,2.16,Medication,45665.0,Yes,93.65,3326.0,8.03,40890.0,0.59,59.1 +38178,Saudi Arabia,2021,Diabetes,Infectious,18.76,1.09,5.44,19-35,Other,858412,73.12,3.81,1.47,Vaccination,37110.0,No,58.14,4795.0,5.28,18341.0,0.88,68.59 +38186,Brazil,2011,Influenza,Infectious,12.18,12.61,6.42,61+,Female,891260,71.8,4.88,1.05,Vaccination,23058.0,Yes,59.4,4808.0,3.06,40713.0,0.81,60.48 +38189,Italy,2000,Zika,Cardiovascular,3.6,3.93,4.7,19-35,Other,151451,84.73,4.14,3.94,Medication,1694.0,Yes,81.23,4455.0,5.27,9487.0,0.45,89.51 +38190,Russia,2015,Ebola,Autoimmune,13.89,6.07,0.79,36-60,Female,131751,55.38,2.44,9.69,Surgery,16709.0,No,70.86,1044.0,3.96,39617.0,0.77,37.44 +38198,India,2018,Cholera,Genetic,6.39,9.19,9.87,61+,Female,283238,50.48,3.17,7.84,Medication,6005.0,No,78.5,2811.0,3.31,43126.0,0.62,80.23 +38199,Germany,2017,Cancer,Neurological,13.16,12.27,1.63,0-18,Other,965845,50.35,0.98,0.68,Vaccination,9442.0,Yes,83.91,4363.0,4.53,14624.0,0.48,34.4 +38206,Mexico,2019,Measles,Bacterial,11.2,4.15,4.01,36-60,Other,871587,91.3,1.46,8.61,Vaccination,16905.0,Yes,60.6,1774.0,1.27,73534.0,0.84,20.01 +38217,Germany,2014,Measles,Autoimmune,3.85,7.49,3.68,0-18,Other,221033,81.3,3.14,7.93,Surgery,34873.0,No,60.61,3624.0,8.83,27272.0,0.71,87.58 +38228,Indonesia,2012,Cancer,Cardiovascular,1.78,10.47,2.96,0-18,Female,414453,96.54,0.73,0.68,Therapy,16419.0,Yes,78.04,59.0,7.86,98578.0,0.86,66.73 +38241,Argentina,2001,Zika,Autoimmune,5.75,14.72,2.93,19-35,Other,463497,75.68,4.31,4.43,Therapy,10270.0,Yes,90.06,4706.0,9.01,45090.0,0.48,71.07 +38245,Nigeria,2005,HIV/AIDS,Metabolic,17.39,4.31,7.22,36-60,Female,822565,79.34,0.67,1.43,Therapy,24790.0,No,98.16,2327.0,1.43,26357.0,0.69,63.66 +38249,Italy,2003,HIV/AIDS,Parasitic,7.77,10.39,7.92,61+,Female,138214,67.75,2.43,7.46,Vaccination,39221.0,Yes,50.92,2580.0,1.11,9113.0,0.54,38.0 +38258,India,2005,Alzheimer's Disease,Respiratory,4.61,11.49,6.46,61+,Female,559803,92.43,2.12,9.15,Medication,37117.0,No,83.87,752.0,3.51,37857.0,0.86,84.04 +38260,Nigeria,2015,COVID-19,Parasitic,1.44,13.38,3.33,61+,Other,790174,55.1,1.38,7.31,Vaccination,10788.0,No,83.69,3206.0,4.14,26795.0,0.51,81.35 +38265,Canada,2018,Cholera,Neurological,3.6,2.54,4.51,19-35,Other,530855,57.01,1.18,3.19,Vaccination,14674.0,No,98.63,4720.0,3.66,76893.0,0.72,76.63 +38266,USA,2002,Polio,Infectious,11.68,13.82,3.4,36-60,Other,710541,81.59,1.05,3.6,Medication,7694.0,No,70.96,1882.0,9.03,13226.0,0.52,47.12 +38269,India,2017,Influenza,Genetic,5.76,12.45,8.6,36-60,Male,359516,57.64,4.93,9.8,Vaccination,32660.0,No,87.83,3798.0,4.92,59574.0,0.41,87.16 +38272,Italy,2019,Polio,Chronic,19.7,0.41,6.84,61+,Male,528434,88.9,3.3,3.9,Therapy,29084.0,No,66.76,2545.0,3.65,20227.0,0.44,79.2 +38273,Australia,2008,Dengue,Metabolic,18.35,0.49,1.22,19-35,Other,589487,94.43,3.85,8.58,Surgery,7339.0,No,84.02,1040.0,9.72,98697.0,0.43,81.69 +38280,Canada,2012,Parkinson's Disease,Neurological,10.53,10.81,7.52,19-35,Other,738643,96.02,1.34,3.68,Vaccination,14071.0,No,56.5,4337.0,1.33,25764.0,0.58,44.28 +38281,USA,2006,HIV/AIDS,Cardiovascular,7.42,11.69,9.03,19-35,Female,129558,67.34,1.75,0.58,Therapy,31690.0,Yes,87.85,21.0,3.32,10771.0,0.77,85.06 +38283,Canada,2021,HIV/AIDS,Viral,8.33,1.15,10.0,61+,Male,558763,64.02,4.39,0.93,Therapy,34631.0,Yes,79.22,680.0,4.13,2445.0,0.57,81.39 +38295,Nigeria,2011,Dengue,Neurological,5.08,5.47,3.79,0-18,Female,303986,93.68,4.04,2.39,Medication,31404.0,No,65.6,4911.0,7.25,49136.0,0.71,66.61 +38301,Argentina,2002,Diabetes,Bacterial,1.6,12.75,9.92,61+,Female,148743,83.19,3.32,9.48,Medication,11427.0,Yes,78.42,3376.0,4.27,33051.0,0.59,56.2 +38306,UK,2003,Tuberculosis,Viral,14.25,5.16,0.79,61+,Male,599899,84.32,3.96,5.14,Therapy,9703.0,No,79.75,2828.0,6.32,29332.0,0.76,65.47 +38310,Canada,2001,Zika,Genetic,11.05,4.99,2.6,36-60,Male,499599,62.37,4.53,8.95,Vaccination,25161.0,Yes,84.98,2420.0,0.28,75303.0,0.89,23.34 +38315,Italy,2000,Rabies,Bacterial,13.91,7.69,4.99,61+,Male,51501,56.29,1.96,2.08,Vaccination,22998.0,No,62.45,2603.0,5.86,48661.0,0.75,45.16 +38320,Saudi Arabia,2003,Rabies,Metabolic,9.79,3.85,6.01,36-60,Other,700171,95.61,2.44,9.28,Surgery,27583.0,Yes,87.76,890.0,6.02,97974.0,0.44,74.38 +38323,India,2022,Measles,Respiratory,6.22,7.19,7.95,0-18,Female,438302,68.36,0.68,8.48,Vaccination,5660.0,No,63.96,909.0,9.08,88315.0,0.54,57.87 +38324,South Africa,2003,Zika,Autoimmune,9.86,0.96,9.04,19-35,Other,150760,60.22,1.75,3.13,Medication,25986.0,Yes,93.54,2800.0,7.15,51812.0,0.47,82.46 +38325,China,2007,HIV/AIDS,Cardiovascular,2.03,5.0,6.86,19-35,Male,717485,86.03,0.92,6.78,Vaccination,22549.0,No,59.01,2379.0,5.22,56453.0,0.58,38.08 +38327,Canada,2017,Influenza,Bacterial,6.26,4.39,9.35,36-60,Male,441103,90.86,3.04,8.68,Vaccination,13308.0,No,57.95,1188.0,2.01,13950.0,0.54,43.2 +38336,Australia,2000,Zika,Metabolic,18.51,14.32,2.82,19-35,Female,611477,85.23,1.78,3.0,Surgery,18075.0,Yes,60.44,628.0,8.55,48198.0,0.86,67.02 +38338,UK,2011,Influenza,Parasitic,1.3,11.56,3.64,0-18,Other,695543,52.18,2.55,7.4,Medication,29970.0,No,93.37,307.0,9.01,83012.0,0.51,77.5 +38343,Russia,2018,Malaria,Bacterial,1.54,13.79,4.83,61+,Other,506103,71.98,1.16,2.9,Vaccination,18042.0,Yes,64.46,4716.0,4.37,11593.0,0.88,58.5 +38353,China,2024,Cancer,Respiratory,6.81,1.22,0.32,0-18,Other,665654,84.15,4.89,1.35,Vaccination,12775.0,No,54.3,3945.0,2.94,36146.0,0.58,30.48 +38357,India,2006,Alzheimer's Disease,Respiratory,0.21,5.97,1.19,0-18,Male,633378,62.73,3.25,8.18,Medication,20018.0,Yes,96.11,2763.0,9.09,33490.0,0.85,30.31 +38359,South Korea,2009,Hypertension,Infectious,6.9,10.22,0.7,61+,Female,666766,55.65,3.45,7.18,Surgery,33817.0,Yes,87.93,4570.0,0.96,68839.0,0.63,49.67 +38361,Brazil,2021,Measles,Parasitic,17.6,5.08,1.05,0-18,Male,766696,62.89,2.63,2.7,Therapy,18388.0,Yes,66.41,3444.0,8.16,95011.0,0.8,76.49 +38369,Australia,2024,Rabies,Neurological,18.68,13.89,0.43,61+,Female,276155,83.75,1.21,0.53,Vaccination,33213.0,Yes,85.09,1762.0,5.3,14424.0,0.41,74.99 +38381,Mexico,2005,Alzheimer's Disease,Autoimmune,6.8,9.88,2.93,61+,Male,795965,64.42,0.51,4.12,Vaccination,25081.0,No,79.32,4716.0,7.53,64122.0,0.66,53.91 +38387,India,2006,Dengue,Neurological,16.65,4.77,1.9,0-18,Male,407646,99.64,3.83,4.5,Surgery,13966.0,Yes,64.34,4321.0,0.98,65249.0,0.54,74.38 +38398,Canada,2014,Diabetes,Cardiovascular,5.11,9.12,5.03,61+,Other,8154,59.83,2.27,8.22,Surgery,9075.0,Yes,92.57,3614.0,6.52,23467.0,0.85,45.08 +38403,Australia,2007,Cancer,Genetic,0.18,10.83,8.96,61+,Other,94600,76.14,1.45,8.74,Surgery,41883.0,No,86.01,2813.0,0.85,65246.0,0.59,86.73 +38408,USA,2001,HIV/AIDS,Viral,16.58,12.14,2.03,0-18,Male,848693,76.86,0.64,2.06,Therapy,44461.0,Yes,84.57,749.0,7.82,73173.0,0.44,80.28 +38414,South Africa,2002,Asthma,Bacterial,6.55,11.66,8.36,0-18,Other,722246,50.76,0.98,1.74,Surgery,44751.0,No,89.46,1947.0,5.62,42666.0,0.59,57.1 +38416,UK,2011,Asthma,Autoimmune,8.46,3.04,2.48,19-35,Other,510284,77.85,0.68,3.77,Medication,22989.0,Yes,77.27,1173.0,4.43,59730.0,0.83,88.32 +38435,Brazil,2011,Rabies,Respiratory,3.05,11.56,6.26,19-35,Female,927541,92.87,1.25,7.59,Therapy,42000.0,Yes,57.33,2254.0,5.04,2579.0,0.42,63.83 +38439,UK,2011,Measles,Neurological,15.72,8.98,2.2,0-18,Female,712313,91.7,4.76,2.31,Therapy,47747.0,No,77.34,4236.0,5.5,95733.0,0.65,83.17 +38441,South Africa,2010,Influenza,Parasitic,13.85,10.87,5.34,61+,Other,263169,99.42,3.64,7.82,Vaccination,5104.0,Yes,54.45,2092.0,2.59,70657.0,0.77,49.22 +38445,China,2020,Ebola,Viral,5.82,4.53,6.61,0-18,Female,255328,85.23,1.97,5.66,Medication,18966.0,Yes,80.98,4724.0,8.45,74117.0,0.9,73.19 +38449,Canada,2015,Hepatitis,Cardiovascular,7.72,11.57,3.43,36-60,Male,172136,80.53,2.69,6.71,Therapy,11455.0,Yes,89.71,2944.0,7.04,34223.0,0.63,86.4 +38450,South Korea,2023,Influenza,Infectious,8.85,0.27,9.87,0-18,Female,781561,92.37,1.06,4.02,Therapy,25499.0,Yes,65.11,2500.0,2.42,50557.0,0.65,29.06 +38453,China,2004,Zika,Parasitic,0.25,6.34,3.77,0-18,Female,907037,76.62,0.95,2.18,Vaccination,17402.0,No,56.76,4118.0,2.05,8152.0,0.79,34.54 +38467,Germany,2018,Rabies,Metabolic,3.78,5.1,0.81,36-60,Female,465791,66.5,2.12,4.82,Surgery,21247.0,Yes,52.84,1412.0,9.74,12412.0,0.8,61.6 +38469,Japan,2024,Parkinson's Disease,Viral,0.6,3.34,8.86,0-18,Male,464559,95.5,2.02,6.76,Surgery,7272.0,No,87.89,1610.0,1.17,86290.0,0.79,76.92 +38477,Canada,2005,Parkinson's Disease,Bacterial,12.11,0.95,3.71,0-18,Female,931973,68.5,4.2,6.41,Therapy,24010.0,Yes,76.31,3912.0,8.78,12545.0,0.48,74.73 +38492,Indonesia,2006,HIV/AIDS,Viral,11.89,8.57,6.2,19-35,Female,674484,87.18,2.93,4.18,Therapy,22968.0,No,64.15,2944.0,9.78,25659.0,0.72,32.35 +38498,Russia,2019,Malaria,Cardiovascular,10.35,0.62,2.93,36-60,Female,508141,59.05,2.23,1.82,Medication,11436.0,Yes,88.51,3369.0,0.7,72304.0,0.55,41.74 +38499,France,2016,Cancer,Cardiovascular,15.51,6.29,4.81,0-18,Female,346297,76.18,3.16,8.36,Medication,14801.0,Yes,59.38,1176.0,0.79,81941.0,0.65,59.83 +38524,Russia,2009,Leprosy,Neurological,2.84,2.68,2.55,61+,Female,449952,90.93,4.45,7.72,Medication,10730.0,Yes,95.61,1668.0,9.61,76548.0,0.55,45.26 +38526,Saudi Arabia,2016,Tuberculosis,Parasitic,17.35,14.16,2.39,36-60,Male,128095,73.78,4.74,3.0,Vaccination,7163.0,No,84.46,3233.0,9.25,73411.0,0.72,32.02 +38531,France,2017,COVID-19,Autoimmune,18.39,3.33,2.61,0-18,Other,372229,83.34,2.94,6.48,Therapy,3680.0,No,93.77,3154.0,0.15,24017.0,0.44,76.64 +38532,Mexico,2009,COVID-19,Respiratory,18.58,13.08,3.73,19-35,Female,953471,76.61,3.01,8.33,Therapy,1262.0,No,61.89,2786.0,8.57,64693.0,0.46,65.53 +38533,Germany,2009,Rabies,Neurological,4.06,5.24,8.72,36-60,Other,360310,66.87,2.53,9.85,Medication,49487.0,Yes,98.05,1265.0,7.77,49388.0,0.47,67.18 +38545,China,2012,Leprosy,Parasitic,12.06,4.27,4.33,0-18,Other,970288,55.31,4.44,6.26,Surgery,5719.0,Yes,95.07,2180.0,9.61,66861.0,0.84,50.74 +38553,Italy,2006,Parkinson's Disease,Parasitic,5.74,12.57,6.93,36-60,Other,570486,88.02,0.81,9.48,Vaccination,674.0,Yes,77.97,2921.0,1.51,49640.0,0.61,34.38 +38554,Argentina,2014,Zika,Bacterial,0.47,0.18,8.16,0-18,Male,545258,59.65,4.02,9.78,Vaccination,33297.0,Yes,55.65,3034.0,2.84,23663.0,0.76,61.48 +38558,Germany,2003,Dengue,Bacterial,18.62,13.62,7.09,19-35,Male,537777,94.41,1.0,0.86,Therapy,17743.0,No,79.97,2322.0,8.04,14332.0,0.46,70.08 +38560,China,2017,Tuberculosis,Respiratory,0.29,12.53,4.81,36-60,Female,31259,54.54,4.46,6.99,Vaccination,21057.0,No,56.31,3286.0,2.73,77562.0,0.67,79.19 +38572,Germany,2021,Ebola,Parasitic,13.15,8.46,0.49,0-18,Male,327069,67.25,4.8,8.38,Therapy,7009.0,No,55.46,1479.0,4.08,81882.0,0.58,78.87 +38592,South Korea,2017,Rabies,Neurological,4.74,5.62,4.66,19-35,Other,865196,81.89,4.31,8.49,Vaccination,11691.0,Yes,81.41,3341.0,7.76,75032.0,0.55,29.45 +38604,Argentina,2008,Leprosy,Chronic,16.53,5.52,8.54,61+,Female,807947,89.53,0.71,0.66,Medication,28354.0,No,79.86,463.0,6.14,18287.0,0.78,49.25 +38605,UK,2020,Tuberculosis,Autoimmune,3.45,5.74,6.59,0-18,Male,946766,90.51,1.51,3.22,Therapy,45656.0,No,68.02,4168.0,6.5,2693.0,0.78,21.91 +38609,Argentina,2021,Zika,Respiratory,2.03,2.06,9.87,36-60,Female,977064,79.18,2.86,1.19,Vaccination,1044.0,No,57.37,913.0,7.72,18507.0,0.69,60.81 +38615,UK,2012,Ebola,Genetic,14.36,13.31,2.77,36-60,Male,990959,77.35,4.67,0.93,Vaccination,40899.0,Yes,88.15,2198.0,3.81,10971.0,0.51,39.4 +38617,Japan,2007,Asthma,Bacterial,0.99,2.91,8.73,61+,Female,275359,62.08,2.69,7.8,Therapy,33186.0,No,85.34,1136.0,0.97,54320.0,0.68,62.53 +38618,USA,2019,Leprosy,Parasitic,13.28,9.41,0.28,36-60,Other,59858,59.02,2.91,8.83,Medication,3898.0,No,52.87,1183.0,7.45,13769.0,0.61,68.46 +38622,Canada,2024,HIV/AIDS,Neurological,14.07,3.47,4.59,36-60,Male,192095,79.3,1.13,5.61,Surgery,388.0,No,54.05,4037.0,4.88,53228.0,0.72,55.93 +38623,South Africa,2017,Malaria,Neurological,6.28,1.03,6.74,19-35,Male,863499,70.38,1.34,4.63,Therapy,38254.0,Yes,79.73,3053.0,6.64,51321.0,0.66,48.68 +38625,Germany,2009,Leprosy,Cardiovascular,10.1,10.72,9.3,61+,Male,379240,88.34,4.13,1.3,Therapy,45880.0,Yes,66.44,2199.0,0.03,87840.0,0.87,29.83 +38626,Brazil,2014,Leprosy,Metabolic,18.33,2.95,1.34,61+,Male,962713,62.84,2.94,6.86,Therapy,41880.0,Yes,86.86,4440.0,5.04,33857.0,0.85,32.52 +38627,Germany,2009,Asthma,Genetic,14.04,0.24,7.6,61+,Other,561842,64.46,1.57,2.72,Vaccination,48120.0,Yes,51.28,3841.0,5.63,87791.0,0.74,89.14 +38628,China,2023,COVID-19,Metabolic,14.44,2.85,6.72,36-60,Female,514734,76.01,0.73,7.14,Vaccination,47623.0,Yes,57.53,4858.0,8.37,74980.0,0.87,71.31 +38630,South Africa,2003,Diabetes,Autoimmune,4.32,3.67,5.04,36-60,Female,582760,76.6,4.53,8.3,Medication,6875.0,No,76.48,1896.0,5.04,86896.0,0.68,63.11 +38636,Nigeria,2017,Polio,Genetic,6.98,3.9,5.32,36-60,Male,927771,98.53,3.87,1.84,Medication,26833.0,Yes,68.69,4663.0,4.97,1837.0,0.47,24.25 +38644,Nigeria,2024,Measles,Chronic,2.55,8.97,0.93,0-18,Female,622811,91.53,2.6,3.44,Therapy,47164.0,Yes,63.01,3078.0,0.48,48043.0,0.68,26.91 +38651,Canada,2004,Rabies,Genetic,16.8,5.03,3.11,0-18,Male,49377,93.64,4.97,8.91,Vaccination,3840.0,No,90.08,4929.0,0.83,88349.0,0.87,72.74 +38654,Turkey,2007,Hypertension,Neurological,4.46,8.34,0.71,0-18,Female,127169,86.8,0.84,4.89,Vaccination,4943.0,Yes,59.82,1271.0,4.84,62571.0,0.52,79.42 +38657,France,2002,Diabetes,Viral,13.65,5.61,0.86,19-35,Female,611561,94.95,3.97,6.02,Vaccination,8352.0,Yes,83.55,2295.0,8.82,74881.0,0.43,35.49 +38665,Mexico,2012,Parkinson's Disease,Bacterial,10.74,4.75,5.46,0-18,Other,644441,59.34,1.71,3.62,Medication,41603.0,No,73.18,2441.0,7.16,63859.0,0.55,59.55 +38672,South Africa,2013,Rabies,Chronic,11.64,11.86,7.14,36-60,Other,462224,82.56,2.21,4.83,Surgery,4402.0,No,74.18,3929.0,3.63,29564.0,0.79,80.47 +38678,Germany,2020,Ebola,Infectious,12.47,14.21,3.93,61+,Other,97307,89.61,3.21,7.8,Surgery,22631.0,Yes,93.92,1659.0,9.38,61069.0,0.56,34.18 +38679,Argentina,2006,Ebola,Viral,11.64,12.63,1.68,61+,Female,333558,86.31,4.53,4.68,Surgery,580.0,Yes,57.82,3751.0,6.98,51094.0,0.52,84.06 +38681,China,2006,HIV/AIDS,Chronic,5.65,2.96,3.94,0-18,Male,823543,78.29,1.35,3.39,Therapy,32420.0,No,73.75,4320.0,9.56,90052.0,0.8,23.96 +38688,UK,2017,Rabies,Bacterial,10.92,3.19,2.21,61+,Other,387305,66.29,2.74,8.45,Surgery,22818.0,No,60.88,4073.0,6.9,72985.0,0.62,78.85 +38689,UK,2004,COVID-19,Respiratory,0.25,14.01,6.97,61+,Female,931982,94.08,4.37,8.92,Therapy,38668.0,Yes,67.42,3385.0,6.61,60347.0,0.62,47.43 +38690,Japan,2001,Hepatitis,Bacterial,14.16,11.4,8.95,61+,Female,337820,91.49,1.49,2.13,Medication,21424.0,No,64.05,584.0,8.92,46953.0,0.75,87.29 +38692,South Africa,2015,Leprosy,Chronic,8.2,13.19,7.41,36-60,Other,801146,64.6,3.94,6.64,Medication,43958.0,No,61.88,4317.0,1.26,66701.0,0.62,81.1 +38696,Canada,2004,Tuberculosis,Parasitic,6.75,10.98,3.1,61+,Other,378174,78.53,2.12,9.88,Therapy,11412.0,No,61.3,48.0,6.11,35832.0,0.72,59.29 +38699,Saudi Arabia,2016,Asthma,Bacterial,17.99,0.94,1.64,36-60,Female,469939,85.51,3.34,3.22,Therapy,11202.0,Yes,53.48,237.0,0.93,9394.0,0.84,67.48 +38701,Germany,2014,Dengue,Genetic,6.54,13.37,1.31,0-18,Other,890368,65.17,2.53,7.46,Medication,20738.0,Yes,50.16,1896.0,7.32,14220.0,0.62,78.99 +38709,Turkey,2002,Dengue,Respiratory,4.65,9.81,9.58,36-60,Other,327014,64.72,0.9,8.27,Therapy,42174.0,No,89.61,1322.0,0.92,96878.0,0.68,24.2 +38718,Brazil,2013,Parkinson's Disease,Respiratory,10.48,7.83,6.59,0-18,Other,807887,96.67,1.62,4.75,Medication,33589.0,No,64.67,271.0,7.77,49585.0,0.69,89.62 +38728,India,2012,Zika,Cardiovascular,13.03,0.71,6.43,19-35,Other,902228,87.85,0.92,3.75,Surgery,34608.0,Yes,86.54,1910.0,8.23,13722.0,0.62,37.58 +38730,UK,2003,Diabetes,Chronic,2.91,2.81,9.39,61+,Female,571400,86.14,0.82,0.58,Therapy,19470.0,Yes,85.19,694.0,0.12,99481.0,0.71,58.03 +38732,India,2017,Dengue,Genetic,13.59,2.53,2.58,19-35,Female,486689,62.44,1.98,2.79,Medication,4504.0,No,83.11,4545.0,6.66,4935.0,0.85,62.22 +38744,China,2007,Hypertension,Viral,12.82,11.3,9.65,0-18,Female,135805,84.0,0.68,3.35,Surgery,39427.0,Yes,93.09,1012.0,8.13,40871.0,0.56,30.32 +38749,Turkey,2008,Malaria,Metabolic,15.01,1.74,7.56,36-60,Other,2579,65.1,3.71,3.56,Therapy,39082.0,No,77.57,2832.0,0.9,62681.0,0.49,43.35 +38750,Argentina,2014,Asthma,Infectious,10.4,6.07,7.94,19-35,Female,814913,97.41,3.79,3.34,Therapy,5726.0,No,57.94,1334.0,4.85,49573.0,0.46,50.69 +38753,Italy,2018,Ebola,Parasitic,3.34,7.12,9.98,36-60,Female,509470,86.89,3.63,9.03,Vaccination,47190.0,Yes,81.16,3679.0,3.32,51648.0,0.46,86.69 +38758,China,2007,Dengue,Viral,12.49,6.06,3.05,36-60,Male,555005,97.33,1.86,0.84,Medication,23075.0,No,50.14,656.0,8.58,4596.0,0.67,42.89 +38762,Germany,2005,Polio,Respiratory,4.04,12.03,2.67,0-18,Female,302077,61.79,2.72,4.47,Therapy,11225.0,No,89.47,369.0,5.53,27389.0,0.47,43.08 +38770,Germany,2016,Hepatitis,Genetic,18.18,14.02,3.76,61+,Female,762207,85.74,2.03,7.89,Therapy,29375.0,Yes,85.33,441.0,0.83,4207.0,0.49,32.16 +38775,South Africa,2007,Influenza,Infectious,18.28,12.93,2.43,61+,Other,996285,61.85,3.94,9.07,Vaccination,7628.0,No,68.91,1213.0,1.84,77870.0,0.47,64.67 +38776,Germany,2011,Zika,Autoimmune,2.94,5.36,7.27,0-18,Other,948443,67.67,0.91,6.3,Vaccination,23654.0,No,64.97,4002.0,2.01,29421.0,0.73,51.63 +38782,Argentina,2010,Cancer,Viral,6.07,3.43,3.59,0-18,Female,349293,95.44,2.59,7.71,Therapy,9681.0,No,78.75,3235.0,1.26,25702.0,0.48,82.37 +38788,India,2001,Dengue,Chronic,12.85,4.07,5.93,36-60,Other,652208,56.35,4.88,6.76,Vaccination,22737.0,No,73.84,2239.0,0.26,39118.0,0.58,68.76 +38805,Mexico,2007,Diabetes,Metabolic,5.59,6.17,7.69,61+,Male,530629,67.47,1.36,8.7,Medication,30040.0,No,88.17,1657.0,9.68,10352.0,0.63,46.36 +38807,Germany,2010,Parkinson's Disease,Genetic,5.5,6.47,5.83,61+,Female,455088,92.44,3.5,5.96,Surgery,49621.0,Yes,73.9,4828.0,2.77,13780.0,0.85,31.02 +38813,Japan,2019,Leprosy,Neurological,16.82,5.42,7.81,0-18,Female,458990,71.23,2.25,2.2,Therapy,34567.0,No,94.18,1585.0,5.17,78263.0,0.63,83.49 +38814,India,2021,Leprosy,Respiratory,19.43,7.11,2.19,61+,Male,231082,91.88,2.72,6.91,Medication,38856.0,No,74.14,4298.0,5.32,29579.0,0.84,77.27 +38820,Saudi Arabia,2009,Cholera,Genetic,3.36,3.73,3.24,36-60,Other,637826,99.33,0.84,1.02,Surgery,6996.0,Yes,90.49,2337.0,9.67,43441.0,0.67,52.39 +38821,Russia,2020,Malaria,Infectious,2.65,7.51,9.56,0-18,Female,748044,62.48,1.45,8.75,Medication,17987.0,Yes,67.16,4498.0,0.76,58295.0,0.44,59.93 +38827,Canada,2013,Influenza,Chronic,2.76,4.61,4.25,36-60,Other,695951,55.2,3.6,3.94,Medication,42717.0,Yes,55.8,2662.0,6.06,28403.0,0.62,21.39 +38830,Argentina,2018,Cholera,Chronic,17.53,5.77,4.14,19-35,Male,294367,57.9,4.91,5.7,Surgery,19344.0,Yes,89.98,2172.0,7.32,16314.0,0.75,57.77 +38832,Argentina,2001,HIV/AIDS,Cardiovascular,19.25,2.4,7.4,19-35,Female,444525,60.09,1.9,5.72,Vaccination,44741.0,No,66.36,4808.0,6.18,26406.0,0.73,39.87 +38839,South Korea,2014,Measles,Bacterial,15.0,2.04,0.29,61+,Other,789241,96.03,2.45,9.84,Medication,19987.0,No,59.89,4474.0,0.04,2940.0,0.82,52.31 +38843,Argentina,2017,Ebola,Parasitic,0.8,12.51,7.32,0-18,Female,443306,82.23,0.65,7.68,Surgery,32879.0,Yes,96.08,742.0,8.88,98246.0,0.52,48.33 +38848,Canada,2002,Influenza,Genetic,16.51,13.79,8.17,61+,Other,880840,76.02,4.71,4.41,Vaccination,21069.0,Yes,61.8,3419.0,7.97,61437.0,0.75,63.28 +38850,Japan,2004,Alzheimer's Disease,Autoimmune,5.21,12.18,1.58,36-60,Female,96100,94.54,3.43,7.05,Therapy,42511.0,No,98.92,1018.0,1.67,16885.0,0.71,69.7 +38851,South Korea,2000,Parkinson's Disease,Infectious,16.93,2.66,3.11,19-35,Male,940752,86.11,0.61,6.23,Medication,40103.0,Yes,61.22,3650.0,8.27,37142.0,0.87,49.07 +38852,Russia,2007,Zika,Respiratory,1.91,10.9,8.2,19-35,Male,458758,76.49,0.52,6.08,Surgery,42914.0,No,72.63,2643.0,9.32,54122.0,0.56,81.6 +38863,Saudi Arabia,2021,Diabetes,Metabolic,8.72,10.88,8.6,0-18,Female,152131,78.03,0.97,6.17,Surgery,44612.0,No,90.83,2452.0,9.68,70244.0,0.49,42.96 +38883,Australia,2001,Polio,Viral,19.76,8.2,8.87,0-18,Male,624860,94.8,2.62,6.11,Surgery,36589.0,Yes,57.77,1532.0,1.2,68577.0,0.53,75.09 +38891,Argentina,2007,Influenza,Infectious,0.72,9.53,6.08,36-60,Other,936844,56.23,2.12,1.96,Therapy,20825.0,No,66.4,3960.0,4.95,92955.0,0.56,20.48 +38894,Turkey,2013,Hepatitis,Respiratory,7.84,7.49,7.78,36-60,Other,886621,68.06,0.68,7.26,Therapy,16219.0,No,85.91,4611.0,2.27,69501.0,0.73,89.09 +38895,Canada,2024,Leprosy,Bacterial,5.13,6.62,1.12,61+,Other,59265,64.7,1.94,6.41,Surgery,33611.0,Yes,69.27,2134.0,6.59,44568.0,0.42,67.86 +38906,Nigeria,2009,COVID-19,Autoimmune,18.63,1.73,9.59,0-18,Other,11446,58.39,3.7,1.84,Therapy,31537.0,No,89.32,2754.0,6.13,19967.0,0.61,43.42 +38909,Canada,2024,Ebola,Chronic,4.34,7.62,0.22,0-18,Female,481678,64.7,1.24,7.9,Medication,28030.0,No,57.33,3690.0,0.35,8776.0,0.66,49.81 +38914,China,2001,Alzheimer's Disease,Cardiovascular,4.19,11.88,8.82,36-60,Male,80126,71.56,0.77,2.89,Therapy,25565.0,Yes,67.19,4332.0,1.47,76684.0,0.75,20.33 +38915,Indonesia,2013,Malaria,Autoimmune,15.18,10.26,6.04,19-35,Male,730798,72.16,4.2,4.92,Surgery,4468.0,Yes,85.49,254.0,1.98,73578.0,0.42,57.49 +38916,Argentina,2018,Rabies,Genetic,1.08,2.61,6.73,0-18,Male,894221,57.38,1.32,7.69,Vaccination,43700.0,Yes,53.16,3808.0,7.57,71981.0,0.59,24.3 +38919,Saudi Arabia,2016,Tuberculosis,Chronic,7.73,12.76,4.13,19-35,Male,971769,73.94,1.92,0.97,Medication,34610.0,Yes,51.2,682.0,7.46,98496.0,0.73,26.22 +38925,Japan,2018,Hepatitis,Parasitic,5.86,2.58,4.37,61+,Other,577187,97.72,0.67,0.63,Medication,27455.0,Yes,85.08,1405.0,1.91,14774.0,0.74,60.81 +38953,Australia,2002,Polio,Chronic,18.78,5.69,0.99,0-18,Female,313907,79.86,3.47,1.89,Vaccination,10271.0,No,59.7,2550.0,8.01,16492.0,0.59,77.03 +38956,South Africa,2004,Cancer,Respiratory,17.71,2.01,1.37,61+,Male,34504,78.48,2.49,5.09,Medication,3115.0,No,71.64,4440.0,5.81,75439.0,0.51,73.34 +38958,Germany,2020,HIV/AIDS,Chronic,17.88,2.82,7.08,61+,Female,626113,63.86,4.47,5.6,Vaccination,24085.0,No,96.1,4207.0,8.53,50900.0,0.46,44.06 +38959,USA,2007,Malaria,Neurological,4.03,11.14,9.78,19-35,Male,766324,84.76,1.9,0.8,Medication,36177.0,Yes,65.2,2970.0,6.32,63017.0,0.63,86.53 +38964,India,2011,Zika,Cardiovascular,1.35,13.21,3.94,19-35,Other,456929,71.55,3.28,4.61,Surgery,13797.0,No,73.02,1093.0,0.34,66219.0,0.7,74.14 +38967,France,2022,Ebola,Parasitic,19.15,13.92,5.37,19-35,Other,101202,87.61,4.86,6.87,Surgery,9819.0,Yes,78.84,227.0,7.6,35537.0,0.41,61.65 +38969,Argentina,2015,Diabetes,Metabolic,8.34,11.65,2.22,19-35,Female,80675,55.18,0.88,9.21,Vaccination,16534.0,Yes,95.34,3305.0,0.41,56259.0,0.87,49.42 +38970,Italy,2016,Polio,Parasitic,3.76,2.13,1.12,19-35,Male,707947,59.71,4.87,6.27,Therapy,42855.0,No,65.94,4080.0,7.07,67353.0,0.7,73.03 +38975,Turkey,2001,Ebola,Genetic,4.97,9.34,0.29,19-35,Male,644745,70.18,1.05,5.18,Surgery,32214.0,Yes,60.65,4709.0,7.42,15207.0,0.74,26.91 +38978,India,2021,Parkinson's Disease,Genetic,15.21,6.98,7.93,0-18,Other,408703,97.85,2.63,6.8,Therapy,11819.0,No,93.37,3683.0,0.86,60371.0,0.75,23.96 +38991,Germany,2015,Measles,Infectious,15.18,12.22,7.33,61+,Male,639045,55.75,1.39,4.71,Therapy,40284.0,No,51.74,1986.0,0.53,87282.0,0.45,47.94 +39016,Germany,2015,Measles,Cardiovascular,11.83,8.36,2.48,0-18,Male,651207,97.68,4.29,3.93,Medication,40228.0,No,55.8,1949.0,0.83,52704.0,0.47,61.58 +39024,Japan,2019,HIV/AIDS,Chronic,13.96,4.84,8.31,19-35,Female,902170,70.61,2.91,9.94,Vaccination,25793.0,No,51.57,3521.0,3.71,60169.0,0.73,34.97 +39025,Brazil,2012,COVID-19,Neurological,3.81,4.25,0.86,61+,Male,265360,81.71,0.97,6.62,Medication,10708.0,Yes,97.53,3404.0,3.94,42892.0,0.87,42.32 +39029,Brazil,2012,Ebola,Metabolic,17.64,5.92,5.28,61+,Male,822849,89.81,1.51,3.07,Vaccination,40219.0,No,84.53,4632.0,5.26,44865.0,0.9,68.63 +39030,China,2006,Malaria,Bacterial,5.73,7.25,8.95,61+,Other,146623,64.29,4.9,1.65,Therapy,26081.0,No,97.8,1257.0,0.6,19126.0,0.8,48.28 +39037,Mexico,2014,Ebola,Bacterial,0.64,3.3,7.42,0-18,Female,324283,62.63,4.22,1.53,Vaccination,1506.0,No,64.99,3561.0,2.65,76875.0,0.54,45.67 +39047,France,2007,Influenza,Viral,8.32,3.88,7.78,19-35,Female,300154,77.7,2.87,3.69,Surgery,14126.0,No,50.55,2514.0,7.86,6403.0,0.72,74.32 +39051,Italy,2015,Asthma,Cardiovascular,1.55,1.47,8.76,61+,Other,529873,80.09,3.67,8.11,Vaccination,42086.0,Yes,95.43,3413.0,9.71,8204.0,0.59,23.32 +39055,Indonesia,2005,Hepatitis,Cardiovascular,2.42,14.92,2.37,19-35,Other,64575,67.14,2.27,5.22,Surgery,27643.0,Yes,85.09,1239.0,5.3,27189.0,0.88,52.5 +39060,Italy,2019,HIV/AIDS,Infectious,17.16,9.91,0.38,61+,Female,779254,75.75,3.85,9.53,Vaccination,21472.0,Yes,83.7,3158.0,7.8,87751.0,0.83,62.57 +39064,Argentina,2004,COVID-19,Neurological,1.45,1.42,5.96,19-35,Male,212992,83.66,3.31,4.75,Therapy,39201.0,No,76.67,475.0,8.36,36161.0,0.73,42.56 +39069,Indonesia,2014,Ebola,Respiratory,16.15,1.15,0.19,19-35,Male,69649,90.17,1.67,8.99,Therapy,12487.0,No,86.74,3460.0,9.37,70775.0,0.54,36.4 +39074,Nigeria,2017,Parkinson's Disease,Cardiovascular,11.4,7.43,4.95,61+,Other,431636,90.03,3.86,2.94,Medication,7893.0,Yes,78.11,3758.0,9.46,12857.0,0.86,44.94 +39081,Canada,2022,Alzheimer's Disease,Neurological,2.72,6.37,9.12,0-18,Other,195009,60.31,3.95,1.29,Surgery,14996.0,Yes,60.82,4922.0,9.88,21334.0,0.73,72.22 +39085,Turkey,2006,Alzheimer's Disease,Parasitic,16.86,14.44,1.34,19-35,Other,114377,81.9,1.31,8.68,Medication,47603.0,No,51.05,2376.0,2.9,74137.0,0.68,59.05 +39086,South Korea,2018,Dengue,Bacterial,2.39,9.22,9.13,0-18,Female,478211,64.58,0.52,8.23,Medication,9911.0,No,80.22,72.0,5.46,69410.0,0.42,78.92 +39088,Nigeria,2016,Tuberculosis,Cardiovascular,16.43,7.47,4.34,0-18,Other,179763,51.86,4.26,7.51,Medication,12964.0,No,79.24,2555.0,0.95,68365.0,0.77,35.81 +39093,Germany,2000,Hypertension,Bacterial,6.11,8.55,0.1,19-35,Female,13238,96.24,5.0,3.08,Medication,13045.0,No,80.53,939.0,2.23,69168.0,0.52,26.87 +39111,China,2014,Ebola,Viral,16.54,11.0,8.09,36-60,Male,346505,52.12,1.01,9.98,Vaccination,25022.0,No,70.42,803.0,8.41,36408.0,0.86,85.68 +39114,Canada,2000,Influenza,Cardiovascular,14.49,9.57,8.09,19-35,Other,236013,83.82,0.65,5.49,Therapy,16131.0,Yes,73.4,1195.0,4.0,54179.0,0.59,38.59 +39118,Nigeria,2013,Polio,Genetic,14.93,2.75,8.55,0-18,Male,759864,98.82,1.17,9.99,Medication,44286.0,Yes,73.99,2717.0,3.14,63997.0,0.78,49.55 +39126,India,2016,Measles,Chronic,11.83,5.89,1.74,0-18,Female,80362,89.87,2.61,1.69,Surgery,7822.0,Yes,58.52,3155.0,2.93,4505.0,0.66,74.03 +39129,Russia,2015,Asthma,Cardiovascular,13.31,2.56,4.69,61+,Female,692765,85.06,1.23,4.0,Vaccination,49835.0,No,82.37,1535.0,4.17,63040.0,0.43,67.59 +39137,France,2022,Tuberculosis,Neurological,3.27,8.26,9.58,0-18,Other,489710,71.52,1.3,2.69,Medication,40812.0,Yes,85.87,1711.0,6.51,59652.0,0.46,40.92 +39141,Australia,2012,Cancer,Infectious,9.33,1.44,2.07,61+,Male,239642,77.4,3.62,1.86,Medication,27715.0,Yes,57.75,216.0,4.08,89640.0,0.77,73.46 +39143,Germany,2021,Tuberculosis,Genetic,8.96,5.53,1.99,0-18,Other,329829,83.61,2.1,5.75,Therapy,20640.0,No,78.81,2311.0,6.48,67176.0,0.53,20.49 +39145,Australia,2001,Hypertension,Respiratory,16.99,1.1,4.52,19-35,Female,928528,90.1,2.52,3.61,Medication,25757.0,Yes,88.99,1307.0,4.89,49551.0,0.71,31.2 +39156,France,2003,HIV/AIDS,Respiratory,12.54,1.99,3.98,19-35,Male,706466,85.55,3.62,5.75,Therapy,37212.0,No,64.02,415.0,7.6,26161.0,0.79,89.05 +39162,Russia,2007,Ebola,Genetic,4.82,1.66,0.11,36-60,Female,272989,97.59,4.31,9.27,Vaccination,45979.0,Yes,70.94,3742.0,2.82,46846.0,0.56,23.57 +39166,Mexico,2007,Cholera,Genetic,13.65,8.51,4.88,0-18,Male,666321,54.77,1.32,5.1,Surgery,6511.0,Yes,75.25,2144.0,4.61,99398.0,0.56,64.64 +39167,Australia,2023,Hepatitis,Viral,17.87,10.07,2.98,0-18,Male,160783,81.48,2.8,7.27,Therapy,29026.0,Yes,77.41,4045.0,6.07,88407.0,0.47,23.8 +39169,Japan,2006,Diabetes,Neurological,13.72,7.15,4.83,0-18,Male,548752,99.69,3.41,3.49,Vaccination,10086.0,No,75.15,3153.0,3.87,58046.0,0.78,76.57 +39174,China,2006,Alzheimer's Disease,Genetic,12.28,1.69,8.49,19-35,Female,948327,58.36,3.98,2.96,Medication,16720.0,Yes,94.37,706.0,0.08,34075.0,0.81,55.2 +39175,India,2022,Dengue,Bacterial,16.3,5.55,5.43,36-60,Male,633552,65.68,4.5,9.18,Therapy,37278.0,Yes,80.43,3965.0,5.31,96765.0,0.57,52.13 +39182,USA,2024,Parkinson's Disease,Neurological,8.59,1.03,7.25,19-35,Other,664809,64.08,2.35,5.48,Therapy,12109.0,No,74.79,2462.0,4.3,14983.0,0.45,24.34 +39185,Turkey,2019,Alzheimer's Disease,Bacterial,2.7,14.82,7.09,0-18,Female,280087,58.22,1.73,4.83,Medication,39150.0,No,85.46,1779.0,7.29,81013.0,0.84,60.37 +39196,Nigeria,2002,Leprosy,Bacterial,12.01,0.83,4.41,0-18,Male,274562,78.08,3.61,6.99,Therapy,2445.0,Yes,77.91,1976.0,6.52,40764.0,0.84,57.9 +39203,Indonesia,2023,Zika,Chronic,3.71,4.66,8.71,19-35,Other,946032,71.92,3.24,9.96,Surgery,12320.0,Yes,79.24,2641.0,6.14,5063.0,0.65,53.34 +39208,South Korea,2015,HIV/AIDS,Parasitic,6.28,11.71,9.82,0-18,Male,693519,63.4,1.1,7.73,Therapy,5005.0,Yes,68.07,2053.0,1.25,92891.0,0.79,66.39 +39212,Nigeria,2006,Ebola,Autoimmune,2.89,14.86,3.91,0-18,Other,464755,69.63,2.04,4.35,Medication,19577.0,No,90.02,396.0,3.7,51698.0,0.82,25.21 +39214,South Africa,2023,Leprosy,Chronic,6.95,9.2,0.75,19-35,Male,666855,76.16,0.61,5.22,Vaccination,29257.0,Yes,92.43,2936.0,7.35,15144.0,0.42,26.64 +39215,India,2008,Cholera,Cardiovascular,19.45,2.45,4.39,19-35,Female,846429,51.31,2.02,8.24,Therapy,26336.0,Yes,86.24,1993.0,1.19,21695.0,0.47,65.77 +39216,Japan,2015,Diabetes,Neurological,6.23,6.62,2.61,19-35,Male,225958,67.8,2.89,3.72,Therapy,22121.0,No,55.26,3211.0,1.71,31296.0,0.79,46.39 +39224,China,2019,HIV/AIDS,Genetic,19.93,8.56,6.53,61+,Female,779352,96.29,1.14,7.63,Medication,24161.0,No,72.26,158.0,8.32,58269.0,0.46,58.51 +39225,Brazil,2022,Asthma,Neurological,8.09,13.67,7.05,19-35,Other,263991,51.92,1.85,7.66,Vaccination,21595.0,Yes,77.3,3978.0,5.12,43015.0,0.7,38.61 +39235,Russia,2013,Cancer,Genetic,2.34,8.72,5.65,61+,Male,851129,75.47,3.58,4.14,Therapy,39245.0,No,94.03,4042.0,6.02,47471.0,0.45,43.65 +39240,Canada,2016,Rabies,Parasitic,5.09,4.48,2.04,61+,Other,658642,51.77,0.93,8.6,Therapy,20067.0,Yes,77.2,1893.0,1.15,69839.0,0.9,77.28 +39250,Australia,2017,Asthma,Parasitic,4.5,5.43,9.36,61+,Other,581589,90.62,1.9,3.81,Surgery,35558.0,Yes,85.23,4317.0,3.23,3613.0,0.7,58.19 +39259,Brazil,2024,Dengue,Autoimmune,12.39,12.53,2.23,36-60,Other,879302,65.43,2.82,3.82,Medication,18450.0,No,83.33,2306.0,6.18,71386.0,0.5,88.05 +39260,France,2024,Diabetes,Neurological,17.86,0.25,7.29,0-18,Male,824566,95.06,1.92,5.13,Vaccination,34366.0,No,88.42,2588.0,2.65,40027.0,0.4,81.32 +39261,Mexico,2018,Alzheimer's Disease,Genetic,3.67,12.53,5.04,61+,Female,94785,92.46,4.9,4.94,Medication,26134.0,Yes,94.5,278.0,9.69,58271.0,0.85,75.39 +39263,Brazil,2006,Malaria,Neurological,9.85,5.66,4.33,19-35,Male,339673,53.34,4.3,2.84,Vaccination,23034.0,Yes,92.74,563.0,5.07,46706.0,0.58,77.1 +39270,Japan,2022,Hepatitis,Parasitic,7.78,0.28,4.59,36-60,Male,592653,52.82,3.47,3.12,Therapy,11456.0,Yes,87.51,4575.0,8.4,43459.0,0.72,32.77 +39274,USA,2022,Polio,Infectious,11.78,14.53,7.2,19-35,Other,744445,75.71,2.51,5.57,Medication,5818.0,No,60.27,3771.0,0.23,6732.0,0.49,79.64 +39277,USA,2008,COVID-19,Bacterial,16.81,3.38,0.41,0-18,Male,768968,62.07,1.92,8.46,Medication,7217.0,No,75.82,2280.0,9.87,95008.0,0.65,76.28 +39283,Argentina,2019,Tuberculosis,Metabolic,12.52,3.17,0.32,0-18,Other,391232,69.0,3.51,7.55,Therapy,40644.0,Yes,57.38,3039.0,1.34,20416.0,0.75,89.55 +39284,Canada,2018,Tuberculosis,Cardiovascular,11.47,13.69,4.05,61+,Other,389079,94.9,3.54,3.49,Vaccination,26177.0,Yes,51.31,3815.0,1.1,75984.0,0.52,25.75 +39292,India,2001,Zika,Respiratory,10.72,10.25,8.82,36-60,Male,859026,51.02,1.44,1.78,Medication,25628.0,No,63.53,261.0,5.27,99675.0,0.47,56.05 +39298,USA,2023,HIV/AIDS,Genetic,8.83,8.15,3.1,61+,Female,416114,83.96,1.2,8.91,Vaccination,38692.0,No,73.94,3027.0,2.74,86141.0,0.44,21.01 +39299,Russia,2010,Cancer,Metabolic,18.29,1.2,1.42,19-35,Other,594904,98.52,4.54,4.1,Surgery,15514.0,Yes,86.32,1748.0,3.64,28600.0,0.55,88.77 +39305,Japan,2010,COVID-19,Infectious,9.02,5.63,8.83,19-35,Male,618561,78.51,1.69,5.84,Vaccination,42516.0,No,82.63,2340.0,3.73,12481.0,0.46,26.72 +39307,Turkey,2023,Parkinson's Disease,Chronic,18.09,0.94,2.62,0-18,Other,761306,59.53,0.81,1.2,Surgery,26571.0,Yes,74.85,3479.0,4.8,86219.0,0.41,31.22 +39309,Saudi Arabia,2023,Ebola,Autoimmune,13.79,11.35,3.43,36-60,Other,870727,85.95,4.44,4.33,Therapy,21816.0,Yes,91.99,1154.0,1.35,5371.0,0.63,83.52 +39310,Mexico,2010,Cholera,Metabolic,14.92,10.33,3.46,19-35,Female,25335,60.32,4.3,7.65,Medication,18837.0,No,78.03,1706.0,3.33,97901.0,0.9,57.26 +39322,Australia,2022,Malaria,Infectious,7.65,6.15,6.28,19-35,Male,495694,97.64,2.38,5.83,Medication,20890.0,Yes,97.02,2617.0,5.01,88954.0,0.83,84.3 +39326,Germany,2009,Tuberculosis,Parasitic,19.02,2.51,1.81,61+,Female,861507,73.54,4.18,3.98,Vaccination,49356.0,No,92.75,2641.0,1.74,6394.0,0.87,28.28 +39328,South Africa,2022,Parkinson's Disease,Chronic,18.19,3.01,4.04,19-35,Female,49416,57.58,1.99,8.41,Therapy,41156.0,Yes,53.8,2069.0,6.91,83028.0,0.84,64.39 +39331,Germany,2011,Influenza,Neurological,9.19,4.42,1.11,0-18,Other,56979,97.06,4.5,9.44,Surgery,7963.0,Yes,55.45,4291.0,8.75,87787.0,0.73,74.9 +39340,South Korea,2009,Influenza,Respiratory,18.45,7.81,0.49,61+,Male,675487,98.01,4.77,6.32,Therapy,17551.0,Yes,91.8,4216.0,8.2,85713.0,0.72,76.07 +39354,Italy,2006,Leprosy,Cardiovascular,0.48,14.08,2.95,61+,Male,145478,65.39,2.48,7.42,Vaccination,21807.0,Yes,71.84,3532.0,3.37,15016.0,0.85,64.59 +39355,Indonesia,2007,Measles,Bacterial,11.01,10.75,0.51,0-18,Male,797537,55.62,4.06,3.99,Therapy,44126.0,No,65.23,3510.0,3.22,61537.0,0.7,50.83 +39361,Indonesia,2011,Influenza,Chronic,5.08,14.77,1.6,0-18,Other,36684,83.46,3.63,7.74,Medication,20258.0,Yes,78.97,2932.0,9.55,89002.0,0.84,62.68 +39364,Indonesia,2000,Asthma,Parasitic,10.07,8.5,6.31,19-35,Female,705267,83.03,4.74,8.6,Therapy,18062.0,No,63.46,459.0,4.65,82183.0,0.46,80.35 +39366,Saudi Arabia,2011,Polio,Respiratory,11.52,2.96,5.67,36-60,Male,933057,85.61,4.81,6.0,Therapy,8834.0,Yes,70.98,2742.0,5.67,89514.0,0.51,28.4 +39375,India,2015,Ebola,Bacterial,9.32,4.63,5.76,19-35,Male,900770,76.9,3.36,4.86,Vaccination,10414.0,Yes,75.7,1489.0,1.89,4250.0,0.53,71.31 +39380,Australia,2024,Hepatitis,Genetic,2.73,9.94,6.09,0-18,Male,220370,78.15,4.05,3.61,Surgery,15820.0,Yes,52.24,620.0,4.98,78979.0,0.46,59.36 +39384,Nigeria,2023,Leprosy,Metabolic,1.31,6.65,7.23,36-60,Other,374477,80.07,4.36,3.3,Surgery,13363.0,No,50.95,2661.0,4.88,33014.0,0.79,60.95 +39399,UK,2003,HIV/AIDS,Metabolic,3.71,9.38,2.97,36-60,Female,746979,62.31,3.39,6.15,Surgery,11147.0,Yes,57.98,2618.0,5.12,94438.0,0.8,74.48 +39400,India,2012,Diabetes,Autoimmune,3.66,10.48,1.01,0-18,Male,200989,82.97,3.89,6.67,Surgery,44595.0,Yes,91.65,3836.0,7.09,81020.0,0.48,28.43 +39402,Brazil,2003,Diabetes,Bacterial,2.96,6.36,1.06,36-60,Other,497901,54.9,2.65,9.2,Vaccination,38350.0,Yes,59.74,3842.0,9.21,72812.0,0.71,30.3 +39407,Nigeria,2023,HIV/AIDS,Metabolic,17.2,10.7,3.59,36-60,Female,415319,99.5,2.02,2.48,Therapy,39275.0,Yes,89.06,787.0,8.51,2679.0,0.62,35.68 +39408,Germany,2012,Ebola,Infectious,16.93,6.06,1.35,36-60,Male,183239,55.15,0.83,7.72,Medication,43811.0,No,89.8,1451.0,4.05,47466.0,0.77,79.19 +39422,Italy,2003,Influenza,Metabolic,17.18,0.56,0.57,36-60,Other,435645,99.59,4.91,1.18,Surgery,20366.0,No,97.39,2584.0,9.53,17483.0,0.42,60.02 +39423,Argentina,2013,Hepatitis,Infectious,13.25,14.51,1.24,36-60,Other,953963,91.61,2.58,8.98,Vaccination,8304.0,No,64.16,1621.0,0.51,36497.0,0.84,78.39 +39444,Mexico,2019,Rabies,Genetic,16.87,5.38,8.9,36-60,Male,933691,64.78,3.12,4.3,Medication,15701.0,No,95.63,47.0,8.9,3580.0,0.47,59.74 +39449,India,2007,Hepatitis,Parasitic,5.31,10.11,5.15,19-35,Female,779387,77.16,3.55,5.92,Surgery,32312.0,Yes,82.48,1595.0,9.85,23556.0,0.89,81.62 +39457,Germany,2012,COVID-19,Cardiovascular,12.79,0.76,8.41,61+,Male,843630,66.82,2.5,5.24,Surgery,34737.0,No,85.2,1975.0,3.65,83534.0,0.51,88.0 +39461,Brazil,2008,Alzheimer's Disease,Bacterial,9.27,5.05,1.96,61+,Male,251652,65.27,4.84,1.36,Therapy,30480.0,Yes,51.37,1655.0,0.43,77926.0,0.67,88.09 +39464,South Africa,2022,Influenza,Respiratory,7.57,13.37,4.03,36-60,Other,287590,69.53,0.89,8.73,Surgery,37672.0,No,68.1,66.0,3.26,1071.0,0.49,70.62 +39467,France,2000,Cancer,Chronic,10.9,3.67,8.77,19-35,Male,670856,82.29,4.11,3.49,Vaccination,21747.0,Yes,93.02,1206.0,7.73,34731.0,0.42,47.78 +39468,South Korea,2012,Cholera,Neurological,17.17,11.75,1.51,36-60,Other,875474,85.17,2.63,4.68,Surgery,23216.0,No,81.25,3352.0,4.17,11304.0,0.76,80.4 +39477,France,2023,HIV/AIDS,Neurological,4.74,9.19,3.04,36-60,Female,433690,58.9,2.13,7.02,Therapy,31181.0,Yes,82.52,2715.0,7.06,83358.0,0.72,42.48 +39481,South Africa,2005,HIV/AIDS,Genetic,8.15,13.15,3.27,61+,Female,145083,53.97,2.77,5.01,Therapy,13544.0,Yes,68.81,1114.0,4.84,5186.0,0.67,60.83 +39482,Saudi Arabia,2006,Tuberculosis,Respiratory,10.12,3.78,3.11,19-35,Female,191348,91.71,2.47,3.39,Vaccination,22033.0,Yes,76.58,2918.0,5.83,61992.0,0.86,27.35 +39484,Canada,2016,Diabetes,Bacterial,4.24,10.21,0.73,19-35,Other,372042,96.79,4.73,5.44,Therapy,9578.0,Yes,82.28,3786.0,9.73,28351.0,0.75,45.04 +39491,USA,2006,Dengue,Respiratory,2.57,12.66,5.57,19-35,Other,493856,62.98,3.03,6.94,Therapy,24199.0,No,52.58,4645.0,5.51,56780.0,0.87,46.47 +39498,Russia,2017,Polio,Bacterial,4.87,4.16,5.15,0-18,Other,202157,71.03,0.51,8.69,Therapy,25531.0,No,56.91,437.0,6.04,42095.0,0.9,33.46 +39499,Nigeria,2003,Diabetes,Metabolic,11.63,4.36,8.04,36-60,Male,424379,56.06,1.64,2.52,Vaccination,6161.0,Yes,73.13,843.0,7.49,66564.0,0.8,75.05 +39505,Germany,2023,Measles,Cardiovascular,9.84,10.99,8.77,19-35,Male,606987,84.54,1.49,5.47,Medication,49726.0,No,96.01,2097.0,6.76,61585.0,0.85,43.23 +39506,Russia,2021,Hepatitis,Chronic,15.52,0.47,3.55,61+,Female,721845,82.71,3.36,2.5,Surgery,12868.0,No,74.03,899.0,1.72,99645.0,0.43,45.84 +39507,UK,2001,COVID-19,Viral,16.77,13.78,7.91,61+,Other,824894,75.44,0.69,8.31,Vaccination,36661.0,Yes,64.48,2884.0,3.52,58358.0,0.71,89.35 +39508,Mexico,2005,Hypertension,Respiratory,8.32,6.88,8.36,0-18,Male,939807,90.75,3.16,9.24,Medication,13399.0,Yes,90.1,1911.0,2.71,6052.0,0.63,85.17 +39510,Canada,2015,Asthma,Viral,13.22,11.45,5.61,36-60,Male,613222,89.17,1.24,3.5,Medication,23791.0,Yes,72.49,2399.0,7.86,36086.0,0.46,67.59 +39511,South Korea,2000,Ebola,Cardiovascular,17.0,5.2,1.76,36-60,Female,305618,64.54,3.04,4.25,Medication,32724.0,No,72.67,2399.0,1.55,56885.0,0.77,87.64 +39514,Indonesia,2014,COVID-19,Metabolic,1.24,14.73,6.65,61+,Other,430789,58.22,1.18,7.01,Medication,32941.0,No,76.57,4815.0,1.74,44834.0,0.84,74.8 +39517,France,2005,Diabetes,Bacterial,17.91,8.43,1.67,0-18,Female,946686,57.8,1.49,6.39,Medication,22407.0,Yes,92.89,614.0,3.2,60452.0,0.71,84.9 +39522,Italy,2004,Measles,Genetic,11.29,7.73,2.98,36-60,Other,792643,93.24,2.63,7.8,Vaccination,41739.0,No,72.97,1647.0,4.66,36525.0,0.62,55.5 +39529,India,2001,Malaria,Autoimmune,9.49,12.12,3.37,36-60,Male,375608,81.43,1.34,6.26,Surgery,5614.0,No,98.22,4535.0,0.68,58271.0,0.5,47.08 +39530,USA,2001,COVID-19,Bacterial,1.6,14.99,5.66,19-35,Female,995276,90.92,2.75,6.41,Therapy,24137.0,No,54.0,4879.0,7.95,57483.0,0.53,36.78 +39532,Italy,2000,Ebola,Bacterial,7.16,0.53,1.52,0-18,Female,234678,61.99,4.08,8.99,Surgery,1384.0,Yes,52.35,4858.0,4.82,1659.0,0.73,63.21 +39536,Australia,2000,Dengue,Respiratory,9.99,11.08,0.22,61+,Female,758480,93.06,4.39,2.02,Medication,20667.0,Yes,55.52,630.0,3.19,32244.0,0.56,68.14 +39538,Argentina,2004,Asthma,Bacterial,15.92,0.26,7.02,36-60,Other,673985,82.0,3.27,8.5,Medication,18526.0,No,61.23,418.0,8.74,95448.0,0.86,54.36 +39539,Saudi Arabia,2023,Zika,Autoimmune,9.99,2.49,4.9,61+,Other,971767,96.88,2.42,3.01,Medication,4159.0,Yes,75.38,3886.0,4.78,84593.0,0.87,40.4 +39542,Turkey,2017,Measles,Neurological,12.98,11.14,6.42,61+,Other,241009,59.19,3.71,2.19,Medication,13997.0,No,72.84,3895.0,2.88,27777.0,0.88,53.28 +39549,South Korea,2019,Tuberculosis,Neurological,4.07,13.35,5.9,0-18,Male,509813,52.53,0.95,4.71,Medication,40298.0,Yes,81.52,3096.0,2.06,22669.0,0.65,49.02 +39552,Mexico,2023,Leprosy,Viral,18.58,14.88,3.17,19-35,Male,563655,93.91,4.32,8.21,Surgery,46416.0,No,96.12,4098.0,8.83,12161.0,0.6,46.62 +39558,Germany,2021,Asthma,Infectious,15.07,9.49,2.53,0-18,Other,191385,61.67,3.52,4.72,Surgery,21150.0,No,61.02,1329.0,3.89,18515.0,0.82,68.96 +39560,South Africa,2008,Diabetes,Infectious,7.49,1.27,4.49,0-18,Other,573686,99.72,1.66,1.07,Surgery,10450.0,Yes,62.45,2278.0,1.43,9533.0,0.75,38.46 +39563,Russia,2013,Alzheimer's Disease,Viral,1.42,0.36,8.47,36-60,Other,615203,52.74,2.37,6.15,Therapy,19887.0,Yes,52.79,2780.0,1.74,51765.0,0.58,34.7 +39569,Turkey,2003,Influenza,Chronic,11.05,0.61,3.75,0-18,Male,860437,89.02,4.99,3.13,Therapy,34549.0,Yes,51.96,4535.0,0.46,46791.0,0.51,65.21 +39583,Italy,2013,Polio,Neurological,4.18,11.03,0.64,36-60,Other,735859,85.33,4.53,5.2,Therapy,10133.0,No,88.7,1067.0,0.68,66334.0,0.53,37.8 +39590,Turkey,2018,Malaria,Respiratory,0.23,11.15,7.27,0-18,Male,597385,63.87,3.88,8.39,Surgery,46973.0,Yes,79.97,147.0,4.94,82327.0,0.75,77.8 +39604,USA,2007,Cholera,Parasitic,0.5,10.45,1.49,61+,Female,298044,72.32,2.59,6.44,Vaccination,19179.0,No,69.62,4558.0,5.82,82076.0,0.59,24.45 +39612,Italy,2009,Hepatitis,Cardiovascular,5.37,11.17,7.04,0-18,Other,915299,59.29,4.27,9.92,Medication,31273.0,No,64.25,2183.0,1.37,22229.0,0.42,65.58 +39615,France,2013,Tuberculosis,Respiratory,6.25,10.34,2.41,36-60,Male,213092,84.84,1.47,3.63,Therapy,47931.0,No,53.38,4488.0,8.15,66618.0,0.44,31.5 +39616,Italy,2006,Polio,Autoimmune,5.64,9.15,3.66,61+,Female,269616,96.63,4.94,8.04,Therapy,5881.0,No,55.87,3764.0,9.84,10446.0,0.49,56.09 +39622,South Korea,2012,Tuberculosis,Viral,10.74,7.32,9.23,61+,Female,107658,88.11,2.2,4.05,Surgery,18006.0,No,67.05,1921.0,3.1,91182.0,0.46,34.21 +39625,Canada,2019,Asthma,Chronic,9.34,9.53,6.31,36-60,Female,284921,79.42,2.91,8.55,Vaccination,39613.0,No,60.95,4935.0,2.3,38451.0,0.75,32.78 +39632,Argentina,2005,Influenza,Chronic,15.11,0.35,6.16,61+,Female,977696,85.89,3.91,5.62,Surgery,19431.0,No,67.51,2937.0,6.1,95616.0,0.8,57.83 +39652,Saudi Arabia,2006,COVID-19,Genetic,10.09,5.85,0.89,36-60,Other,814231,72.04,3.35,5.02,Vaccination,12762.0,Yes,93.84,1162.0,0.73,14741.0,0.69,66.24 +39653,India,2024,Measles,Bacterial,19.3,3.39,9.6,36-60,Female,327000,69.66,3.41,4.31,Medication,45315.0,Yes,90.22,4981.0,7.45,43407.0,0.51,76.54 +39655,China,2003,Measles,Genetic,3.8,10.55,2.01,0-18,Other,477641,51.41,4.2,3.17,Vaccination,9860.0,Yes,67.52,40.0,8.59,96407.0,0.56,75.58 +39656,Canada,2012,Diabetes,Metabolic,11.89,10.1,1.7,19-35,Male,202600,60.48,1.58,7.97,Surgery,2854.0,No,84.19,4772.0,8.04,54530.0,0.87,85.55 +39661,France,2020,Alzheimer's Disease,Bacterial,16.48,7.4,7.89,61+,Male,723263,78.95,2.27,8.0,Vaccination,9540.0,Yes,93.12,3331.0,7.92,88055.0,0.73,73.98 +39662,USA,2001,Zika,Chronic,11.92,4.56,5.09,0-18,Female,968457,83.87,4.31,5.58,Therapy,17587.0,Yes,75.09,3292.0,9.01,8890.0,0.8,26.84 +39669,Germany,2011,Rabies,Infectious,12.31,4.9,6.87,0-18,Female,885379,83.0,1.08,9.32,Medication,28822.0,No,67.28,2529.0,5.38,33142.0,0.67,21.71 +39673,Italy,2023,Influenza,Metabolic,14.19,12.54,1.55,0-18,Other,460698,94.47,1.65,6.65,Surgery,44570.0,Yes,83.51,3592.0,0.71,56823.0,0.88,71.34 +39676,Indonesia,2009,HIV/AIDS,Autoimmune,14.51,8.34,2.51,36-60,Female,606608,68.83,2.08,4.07,Medication,5451.0,No,94.27,2379.0,3.44,34921.0,0.4,49.93 +39677,Argentina,2018,Rabies,Viral,10.96,2.45,6.39,19-35,Other,794942,79.71,1.53,3.19,Therapy,17386.0,No,90.59,710.0,4.59,62858.0,0.74,63.19 +39682,Russia,2016,Hepatitis,Neurological,12.47,1.68,4.61,0-18,Other,810310,78.37,1.43,4.16,Vaccination,18174.0,No,84.32,4272.0,7.48,54934.0,0.42,33.58 +39697,Argentina,2024,Alzheimer's Disease,Parasitic,2.6,2.37,3.39,36-60,Female,141282,53.55,2.18,5.78,Vaccination,24700.0,Yes,78.02,2014.0,8.81,35760.0,0.69,47.75 +39699,Brazil,2016,Ebola,Infectious,5.69,7.25,5.21,19-35,Male,883430,86.41,4.79,9.65,Surgery,5634.0,Yes,68.19,1119.0,4.17,72573.0,0.61,79.78 +39703,South Africa,2013,Cancer,Chronic,10.93,9.49,1.54,36-60,Female,292721,75.93,4.15,4.18,Medication,13853.0,No,64.6,3724.0,8.59,59580.0,0.76,61.91 +39704,Japan,2022,Leprosy,Respiratory,11.61,6.08,0.16,61+,Other,242640,94.95,2.29,4.99,Surgery,2730.0,Yes,61.6,3264.0,8.01,94768.0,0.46,62.1 +39714,Germany,2001,Leprosy,Autoimmune,4.84,14.76,1.81,19-35,Other,386434,96.76,2.04,3.0,Surgery,25254.0,Yes,89.85,697.0,1.06,20994.0,0.52,41.45 +39723,Russia,2008,Diabetes,Infectious,9.92,13.74,6.78,19-35,Female,596024,97.67,4.68,1.83,Surgery,24350.0,Yes,61.16,4731.0,8.05,66362.0,0.44,51.81 +39724,Australia,2017,Malaria,Chronic,19.94,0.6,3.11,19-35,Other,672088,59.15,3.83,5.4,Medication,46218.0,No,54.47,87.0,8.67,54351.0,0.51,79.69 +39728,Russia,2014,Parkinson's Disease,Chronic,13.51,8.95,8.96,61+,Female,367824,62.81,1.07,2.85,Therapy,32017.0,Yes,88.14,1434.0,6.46,17804.0,0.7,61.16 +39744,UK,2019,COVID-19,Infectious,7.18,4.67,3.17,61+,Female,949343,74.73,2.74,4.5,Medication,43638.0,No,61.48,3244.0,0.18,32879.0,0.81,26.06 +39746,Turkey,2000,Cholera,Infectious,19.06,3.76,0.86,36-60,Other,757734,58.03,2.71,8.74,Medication,48616.0,No,59.46,2773.0,5.17,59858.0,0.89,70.62 +39753,France,2024,Dengue,Neurological,5.04,10.99,7.56,61+,Other,82491,59.64,2.1,1.11,Surgery,36438.0,No,77.5,531.0,0.35,4798.0,0.81,69.23 +39756,Canada,2013,Asthma,Neurological,2.64,14.76,5.14,61+,Female,373815,52.43,2.28,5.54,Medication,13957.0,Yes,67.17,3354.0,7.72,57012.0,0.5,65.5 +39759,South Africa,2014,Ebola,Respiratory,4.48,6.26,2.09,19-35,Female,728653,62.61,4.88,2.74,Therapy,16785.0,Yes,69.9,1368.0,4.89,14130.0,0.43,62.81 +39760,UK,2012,Dengue,Neurological,10.28,1.8,6.1,36-60,Male,61423,78.86,4.36,4.23,Therapy,21530.0,Yes,81.39,3181.0,6.3,10051.0,0.54,48.03 +39769,Brazil,2020,Hepatitis,Metabolic,2.74,8.89,7.52,19-35,Female,716645,86.8,2.64,8.86,Vaccination,44010.0,Yes,50.68,3600.0,9.69,91687.0,0.79,68.42 +39771,Canada,2010,COVID-19,Bacterial,17.31,9.31,1.67,61+,Female,513364,99.15,1.46,6.31,Vaccination,9979.0,Yes,88.96,4525.0,0.43,72519.0,0.72,21.4 +39781,Turkey,2021,Asthma,Genetic,0.44,1.24,7.64,19-35,Male,315605,57.09,0.71,2.01,Surgery,43167.0,No,98.94,4592.0,8.1,73194.0,0.89,27.63 +39796,Australia,2016,Dengue,Viral,16.95,0.46,0.32,19-35,Female,168880,78.24,2.62,5.53,Vaccination,7573.0,Yes,58.5,1813.0,9.59,36570.0,0.43,78.92 +39800,Russia,2013,Tuberculosis,Viral,1.21,7.82,6.6,0-18,Other,88415,98.03,4.18,0.52,Medication,21328.0,No,90.9,1598.0,3.83,98809.0,0.48,28.41 +39802,South Korea,2002,Ebola,Neurological,17.92,10.29,7.49,36-60,Male,271048,80.1,1.17,2.23,Surgery,2394.0,Yes,97.26,3392.0,5.95,62851.0,0.85,62.6 +39811,Australia,2014,Polio,Genetic,17.4,8.92,9.68,61+,Female,555738,95.27,3.75,5.1,Therapy,19801.0,No,56.63,218.0,2.92,6742.0,0.58,50.8 +39815,Canada,2008,Parkinson's Disease,Cardiovascular,3.92,7.46,2.27,36-60,Female,403886,71.73,1.78,5.67,Vaccination,46373.0,Yes,79.71,4106.0,0.07,49241.0,0.6,65.68 +39818,Australia,2008,Influenza,Infectious,19.09,3.35,2.6,19-35,Other,320882,60.66,2.1,9.45,Surgery,8494.0,Yes,76.06,466.0,6.01,86022.0,0.76,30.97 +39822,Canada,2010,HIV/AIDS,Parasitic,16.25,11.95,4.43,61+,Female,252423,50.32,4.44,1.33,Vaccination,24740.0,Yes,70.48,818.0,5.16,82056.0,0.62,31.79 +39824,South Africa,2008,COVID-19,Bacterial,2.18,2.05,1.68,19-35,Female,927145,84.28,1.79,6.49,Surgery,8971.0,Yes,51.52,623.0,0.49,29247.0,0.7,87.84 +39828,Australia,2006,Polio,Respiratory,3.6,1.9,4.43,36-60,Female,696950,85.07,2.5,0.61,Vaccination,21781.0,Yes,96.16,163.0,2.74,52643.0,0.55,59.13 +39849,Australia,2013,Ebola,Cardiovascular,15.22,9.41,3.0,0-18,Male,599608,71.17,3.74,9.95,Surgery,13102.0,No,71.76,1078.0,6.34,77047.0,0.49,21.94 +39851,Brazil,2016,Measles,Viral,3.87,4.23,8.69,19-35,Male,949013,95.31,0.78,8.75,Therapy,13962.0,Yes,92.11,3449.0,6.5,92756.0,0.41,61.12 +39855,Nigeria,2014,Diabetes,Genetic,7.34,9.22,2.68,19-35,Male,984615,58.72,3.96,3.3,Therapy,48881.0,Yes,96.63,4560.0,3.25,13195.0,0.6,51.49 +39869,South Africa,2008,Alzheimer's Disease,Neurological,18.77,3.65,9.56,61+,Female,988564,61.98,4.72,5.95,Medication,36158.0,Yes,50.99,4600.0,4.1,48313.0,0.41,41.84 +39871,Australia,2012,Diabetes,Respiratory,14.51,9.0,4.76,0-18,Female,970270,70.42,0.99,2.3,Vaccination,31680.0,Yes,88.76,4667.0,2.07,75384.0,0.75,43.81 +39872,South Africa,2003,Parkinson's Disease,Genetic,1.36,12.57,3.42,61+,Male,294633,80.01,1.93,1.07,Medication,5713.0,No,59.69,1660.0,4.53,50669.0,0.72,66.61 +39875,UK,2016,Cancer,Autoimmune,6.98,4.31,2.02,0-18,Female,316895,52.54,3.01,8.94,Medication,18371.0,Yes,56.53,177.0,9.23,76423.0,0.51,63.03 +39895,Brazil,2001,Hypertension,Infectious,8.83,1.05,6.77,61+,Male,626872,66.93,0.73,8.95,Surgery,45738.0,Yes,84.08,1497.0,0.6,71268.0,0.5,36.71 +39900,Turkey,2004,Hypertension,Bacterial,13.48,11.46,0.33,36-60,Female,211376,94.77,1.89,6.18,Medication,18780.0,No,59.8,4910.0,8.99,45372.0,0.7,44.95 +39903,Argentina,2003,Influenza,Respiratory,0.69,3.5,4.99,36-60,Female,546742,75.12,1.2,9.51,Vaccination,39331.0,No,97.14,2519.0,8.76,49119.0,0.55,89.12 +39905,USA,2007,Diabetes,Parasitic,11.5,3.43,2.12,0-18,Female,4459,94.07,3.47,5.57,Vaccination,20207.0,No,70.62,643.0,9.99,83656.0,0.77,37.05 +39914,France,2006,Parkinson's Disease,Autoimmune,17.98,3.92,2.03,19-35,Female,239023,81.44,4.43,7.06,Therapy,41470.0,No,54.57,1879.0,1.49,50288.0,0.8,58.61 +39929,Brazil,2000,Dengue,Metabolic,10.46,9.77,0.84,0-18,Male,76079,75.98,2.79,4.49,Vaccination,31029.0,Yes,63.11,4972.0,1.04,25879.0,0.82,29.65 +39930,Russia,2018,Zika,Viral,6.91,10.66,5.5,36-60,Male,839113,76.32,3.01,7.24,Medication,9948.0,Yes,62.3,4724.0,8.23,5578.0,0.69,62.62 +39944,Italy,2021,Hypertension,Respiratory,19.86,12.4,1.85,19-35,Other,892830,70.69,1.24,1.2,Vaccination,27093.0,No,52.98,4311.0,9.93,61138.0,0.55,30.24 +39953,Saudi Arabia,2001,HIV/AIDS,Bacterial,0.97,4.51,8.49,0-18,Female,543312,79.29,4.92,6.38,Therapy,43429.0,No,98.33,2294.0,8.26,72497.0,0.49,66.32 +39958,Italy,2005,Measles,Autoimmune,2.89,3.07,9.21,61+,Female,132153,99.7,4.18,4.01,Vaccination,39305.0,Yes,85.43,4040.0,2.35,50457.0,0.71,55.09 +39963,South Korea,2023,Polio,Genetic,7.37,6.94,7.36,61+,Male,351568,79.17,3.45,0.99,Therapy,27006.0,No,84.76,4921.0,8.71,94587.0,0.69,60.15 +39966,China,2011,Polio,Infectious,4.62,10.15,7.88,36-60,Other,237021,63.05,4.45,3.0,Surgery,572.0,No,97.09,500.0,9.51,89043.0,0.7,72.95 +39969,India,2002,COVID-19,Cardiovascular,0.49,10.02,5.81,36-60,Other,520404,94.51,4.04,5.5,Therapy,14023.0,Yes,84.35,4998.0,8.73,89206.0,0.76,49.33 +39970,Saudi Arabia,2011,Influenza,Neurological,13.75,13.17,6.47,36-60,Male,801397,97.72,4.56,4.44,Therapy,47396.0,No,54.95,3842.0,3.01,25315.0,0.78,25.04 +39971,China,2012,Ebola,Viral,14.5,4.62,7.39,61+,Female,501858,78.18,4.85,7.06,Therapy,38620.0,No,91.3,3265.0,9.59,72691.0,0.59,22.63 +39974,Australia,2001,Tuberculosis,Infectious,12.09,11.14,6.31,19-35,Female,967490,82.25,2.84,9.84,Therapy,37850.0,Yes,76.73,2336.0,3.84,62811.0,0.54,42.14 +39983,Australia,2017,HIV/AIDS,Genetic,14.03,4.28,8.52,36-60,Female,819104,52.97,1.58,6.34,Medication,37520.0,No,53.31,3895.0,6.71,24607.0,0.74,53.65 +39986,Nigeria,2020,Influenza,Metabolic,9.97,0.47,6.55,36-60,Other,887668,77.54,2.45,9.65,Therapy,12532.0,No,66.31,1675.0,0.01,84301.0,0.48,23.13 +39988,USA,2008,HIV/AIDS,Genetic,16.64,5.77,4.93,0-18,Male,34144,98.92,0.77,2.23,Surgery,44119.0,No,50.61,3224.0,4.31,24132.0,0.66,27.41 +39994,Saudi Arabia,2013,Rabies,Metabolic,5.24,12.22,8.76,36-60,Other,268122,64.73,0.8,7.05,Therapy,43589.0,No,77.99,2508.0,5.38,83375.0,0.57,54.7 +40003,Turkey,2021,Alzheimer's Disease,Genetic,18.99,11.42,5.63,61+,Female,929972,87.73,4.01,6.44,Medication,27790.0,Yes,73.09,758.0,2.85,56226.0,0.55,82.37 +40011,Saudi Arabia,2009,Tuberculosis,Genetic,8.77,12.04,5.04,36-60,Male,983922,98.04,4.8,5.03,Surgery,21768.0,Yes,80.27,1313.0,9.34,58828.0,0.62,61.8 +40017,Japan,2008,Parkinson's Disease,Chronic,7.78,9.36,3.36,61+,Male,911194,79.9,4.43,3.9,Medication,39288.0,Yes,69.78,270.0,1.3,53150.0,0.59,69.51 +40024,Russia,2021,Malaria,Genetic,3.26,0.81,5.95,19-35,Other,364751,63.01,4.69,9.59,Therapy,28507.0,No,59.26,4775.0,9.33,15371.0,0.76,28.85 +40027,Russia,2021,Diabetes,Respiratory,3.81,6.08,3.51,0-18,Other,613336,78.62,2.77,4.39,Medication,22972.0,No,79.71,2011.0,0.47,72830.0,0.67,41.55 +40031,South Africa,2002,Diabetes,Parasitic,18.48,1.18,4.74,0-18,Male,556446,94.96,3.75,6.45,Vaccination,5385.0,Yes,72.62,1523.0,5.31,16710.0,0.51,45.84 +40038,Argentina,2005,Malaria,Neurological,3.53,5.71,6.72,0-18,Female,148764,51.0,1.75,9.27,Surgery,30147.0,Yes,93.65,3720.0,2.28,92400.0,0.47,65.79 +40042,South Africa,2000,Influenza,Genetic,4.36,7.33,2.01,0-18,Female,89782,52.68,4.81,5.31,Medication,37037.0,No,55.77,3200.0,6.78,855.0,0.46,51.42 +40046,Argentina,2015,Measles,Metabolic,2.84,5.93,5.12,61+,Male,560996,72.62,4.17,4.72,Surgery,337.0,No,52.45,3690.0,3.57,43761.0,0.49,51.88 +40047,Turkey,2024,Asthma,Parasitic,6.06,9.0,7.62,36-60,Female,221928,75.32,4.35,5.31,Vaccination,660.0,Yes,74.19,4872.0,8.79,76291.0,0.81,74.53 +40055,South Africa,2023,Parkinson's Disease,Chronic,16.74,2.64,3.88,0-18,Female,670137,93.74,3.52,3.91,Surgery,42134.0,Yes,53.82,179.0,5.0,55499.0,0.56,28.1 +40070,Russia,2009,Diabetes,Respiratory,9.81,6.75,0.34,19-35,Male,487170,53.68,1.36,7.31,Therapy,22643.0,Yes,94.91,3576.0,4.78,64994.0,0.88,23.61 +40073,Japan,2005,Zika,Parasitic,13.07,3.32,8.47,61+,Other,468734,55.59,1.54,5.83,Vaccination,24537.0,No,64.2,2535.0,1.41,94151.0,0.83,28.89 +40089,Italy,2017,Hepatitis,Parasitic,7.72,5.93,8.35,36-60,Other,213447,61.7,4.52,0.56,Medication,35230.0,Yes,55.18,1588.0,3.94,89198.0,0.55,76.9 +40090,Argentina,2000,Alzheimer's Disease,Autoimmune,16.3,6.79,5.86,0-18,Other,176327,52.9,3.54,2.89,Medication,17276.0,No,55.66,3120.0,3.75,97346.0,0.71,48.25 +40092,France,2011,COVID-19,Parasitic,7.36,12.06,0.87,0-18,Female,541616,73.57,1.79,6.14,Therapy,26421.0,No,88.65,813.0,3.65,67820.0,0.74,53.1 +40094,Russia,2011,Measles,Chronic,14.14,8.21,1.69,0-18,Other,332319,79.27,1.56,4.98,Medication,34785.0,Yes,72.07,3904.0,1.82,40659.0,0.59,32.27 +40100,China,2021,COVID-19,Viral,19.02,3.47,4.04,0-18,Female,376660,54.22,4.94,3.61,Medication,20479.0,No,51.97,4313.0,9.18,36857.0,0.75,78.18 +40101,Nigeria,2003,Influenza,Respiratory,5.65,14.97,8.63,36-60,Other,893681,67.84,1.68,6.25,Surgery,35225.0,No,88.54,4862.0,6.79,49079.0,0.5,40.37 +40106,India,2010,Dengue,Genetic,7.47,10.23,9.87,61+,Female,581107,50.95,0.53,3.98,Surgery,36760.0,Yes,91.95,2284.0,4.77,54257.0,0.72,68.35 +40115,Mexico,2018,Dengue,Infectious,8.56,1.87,6.56,0-18,Female,951195,89.82,2.17,9.35,Surgery,6036.0,No,66.35,2005.0,2.57,75195.0,0.49,51.37 +40122,Canada,2006,Polio,Metabolic,9.34,9.01,0.12,36-60,Other,655846,92.14,4.11,3.63,Therapy,17074.0,Yes,94.58,3547.0,3.94,39766.0,0.81,86.56 +40132,Brazil,2015,Asthma,Bacterial,5.57,1.03,1.06,36-60,Male,656464,75.17,1.26,3.03,Therapy,1639.0,Yes,72.73,854.0,1.24,82784.0,0.8,24.74 +40137,Japan,2016,Influenza,Parasitic,16.67,9.09,4.05,36-60,Male,775295,71.57,2.52,9.8,Medication,25943.0,Yes,95.1,2222.0,6.09,39533.0,0.56,28.49 +40140,Canada,2006,Zika,Respiratory,2.63,10.54,4.57,19-35,Other,725363,81.52,3.86,4.91,Surgery,11370.0,No,56.3,3094.0,6.55,7583.0,0.46,87.11 +40143,Germany,2023,Asthma,Bacterial,14.65,5.96,8.93,36-60,Female,454760,83.54,3.78,7.05,Vaccination,2421.0,Yes,54.77,55.0,2.11,83297.0,0.86,82.28 +40151,Japan,2016,Cholera,Viral,12.19,10.94,1.58,0-18,Male,101991,55.26,2.08,1.87,Medication,892.0,Yes,50.46,2534.0,3.36,15552.0,0.53,24.06 +40158,Nigeria,2017,Ebola,Bacterial,1.23,14.63,0.19,61+,Other,20566,83.35,4.94,9.9,Vaccination,12468.0,Yes,86.09,1679.0,4.98,90127.0,0.54,30.15 +40160,Brazil,2018,Hepatitis,Genetic,5.37,2.82,6.79,36-60,Female,362721,72.16,4.31,8.57,Therapy,1261.0,No,50.92,4014.0,9.06,57133.0,0.46,24.69 +40165,Indonesia,2008,Ebola,Infectious,11.97,5.02,3.5,36-60,Male,51109,58.83,2.3,3.35,Vaccination,42202.0,Yes,66.71,3691.0,2.79,44266.0,0.45,22.61 +40169,Brazil,2014,Polio,Neurological,1.75,7.61,9.46,0-18,Female,750076,75.76,4.62,8.4,Therapy,7753.0,Yes,61.35,202.0,6.58,99931.0,0.87,42.01 +40174,Germany,2009,Cholera,Chronic,0.42,6.73,6.18,61+,Female,65500,59.76,4.26,3.11,Surgery,8011.0,No,94.22,221.0,7.54,99831.0,0.59,59.85 +40179,France,2005,Polio,Viral,2.51,7.27,2.58,19-35,Female,373928,74.67,0.87,8.72,Therapy,2421.0,No,88.97,3866.0,7.11,2565.0,0.79,39.41 +40185,South Africa,2004,Diabetes,Viral,11.3,12.67,6.24,0-18,Female,681995,98.79,4.59,7.09,Medication,8580.0,Yes,53.63,2907.0,3.54,41907.0,0.41,61.93 +40208,Italy,2023,Parkinson's Disease,Genetic,10.29,12.41,6.96,61+,Male,382988,57.07,0.95,9.29,Medication,25871.0,No,55.31,2798.0,4.04,59062.0,0.67,65.33 +40212,Germany,2012,Parkinson's Disease,Parasitic,2.05,6.82,1.94,36-60,Female,462915,78.91,0.92,2.7,Medication,25894.0,No,98.7,4356.0,0.15,90580.0,0.88,79.53 +40219,South Korea,2009,Malaria,Infectious,19.19,1.95,8.52,36-60,Other,461840,62.18,2.91,6.76,Medication,16807.0,Yes,76.46,2407.0,3.92,82507.0,0.81,65.91 +40222,France,2003,Hepatitis,Genetic,18.62,13.25,0.28,19-35,Other,124763,93.5,1.26,9.48,Vaccination,28235.0,No,98.33,582.0,2.91,2203.0,0.46,58.18 +40230,South Africa,2003,Alzheimer's Disease,Genetic,5.45,9.77,5.61,0-18,Other,892068,93.98,4.02,5.24,Medication,44441.0,Yes,90.06,3171.0,1.49,69665.0,0.66,39.97 +40232,China,2024,Asthma,Metabolic,6.08,7.92,1.5,0-18,Female,660411,59.16,1.72,4.13,Therapy,4961.0,Yes,52.95,3588.0,8.34,88456.0,0.85,27.02 +40233,UK,2011,Diabetes,Chronic,19.22,0.62,6.96,61+,Other,356103,95.05,2.61,7.56,Surgery,33107.0,No,58.73,1281.0,2.02,99828.0,0.42,59.15 +40244,Nigeria,2003,COVID-19,Chronic,16.04,9.71,0.15,19-35,Other,44273,70.18,0.52,0.76,Therapy,15865.0,Yes,82.2,764.0,6.5,92171.0,0.63,36.87 +40250,Turkey,2000,Hypertension,Neurological,15.38,10.24,3.14,61+,Female,163777,53.09,4.58,1.08,Therapy,41950.0,Yes,67.2,4576.0,0.13,59344.0,0.73,59.01 +40251,Indonesia,2017,Measles,Infectious,8.85,6.51,8.3,36-60,Other,870838,71.89,3.11,9.47,Vaccination,9326.0,Yes,69.28,4408.0,7.28,47928.0,0.63,81.22 +40260,India,2022,Hepatitis,Neurological,3.07,11.86,6.65,36-60,Male,551123,99.34,0.78,4.33,Therapy,29367.0,Yes,94.65,165.0,0.93,72375.0,0.67,89.8 +40262,Nigeria,2004,Zika,Cardiovascular,8.98,7.07,1.26,36-60,Male,158448,74.91,2.79,0.8,Vaccination,46841.0,Yes,55.44,1408.0,0.42,25291.0,0.65,69.02 +40266,USA,2021,Malaria,Bacterial,16.97,13.88,3.15,61+,Other,95566,83.63,1.89,0.97,Medication,12971.0,Yes,98.57,1121.0,2.46,97858.0,0.66,58.26 +40269,Japan,2004,Dengue,Chronic,12.35,11.24,9.63,36-60,Male,170641,81.08,0.89,9.46,Therapy,15290.0,Yes,74.75,3567.0,2.01,98564.0,0.79,69.94 +40272,Germany,2016,Influenza,Bacterial,15.97,12.96,7.97,36-60,Female,637232,65.08,0.87,6.66,Therapy,9553.0,No,66.7,274.0,0.23,46638.0,0.85,73.04 +40273,China,2024,COVID-19,Metabolic,9.73,5.11,3.93,61+,Male,742162,61.6,1.42,1.97,Surgery,38659.0,No,95.99,186.0,1.22,21444.0,0.51,35.03 +40277,Saudi Arabia,2009,COVID-19,Respiratory,12.7,8.02,6.87,19-35,Female,26030,63.38,1.11,3.53,Surgery,6885.0,No,66.1,4363.0,0.69,37255.0,0.59,72.94 +40278,China,2002,Tuberculosis,Autoimmune,15.35,14.07,2.79,0-18,Female,284983,97.5,4.23,4.35,Vaccination,32097.0,No,87.3,1570.0,9.12,75631.0,0.52,86.14 +40279,Brazil,2015,Cholera,Metabolic,8.03,3.89,0.63,0-18,Other,906183,92.68,2.96,1.72,Surgery,48628.0,Yes,87.76,1905.0,9.71,51291.0,0.63,38.77 +40284,Mexico,2003,Rabies,Cardiovascular,16.78,11.21,6.51,61+,Other,370553,67.07,2.09,1.39,Therapy,11459.0,Yes,65.45,1998.0,3.55,77465.0,0.56,20.07 +40288,Japan,2008,Ebola,Bacterial,6.59,0.74,5.31,0-18,Male,479813,97.1,2.25,8.34,Therapy,2618.0,Yes,65.8,320.0,7.31,85472.0,0.46,57.27 +40291,UK,2023,Dengue,Neurological,1.33,8.62,9.75,0-18,Other,686329,54.82,1.08,4.55,Surgery,8822.0,No,79.45,3186.0,5.82,11259.0,0.4,60.17 +40298,Canada,2007,Hypertension,Respiratory,13.91,5.86,5.16,19-35,Male,929623,75.74,0.53,6.22,Medication,21257.0,No,67.75,3162.0,9.36,17662.0,0.83,49.85 +40300,South Africa,2000,Malaria,Neurological,14.36,4.22,5.59,19-35,Female,694251,66.09,4.56,7.06,Therapy,17043.0,Yes,71.24,3727.0,2.29,17462.0,0.42,40.22 +40302,South Korea,2019,HIV/AIDS,Chronic,1.12,5.48,3.84,19-35,Female,465656,99.54,1.51,5.35,Medication,20003.0,No,67.18,3680.0,4.63,21040.0,0.53,41.57 +40305,Saudi Arabia,2005,Alzheimer's Disease,Autoimmune,1.58,9.49,8.63,61+,Female,38833,84.49,1.57,4.18,Therapy,45311.0,No,52.57,4975.0,9.78,83804.0,0.78,58.12 +40307,USA,2010,Diabetes,Bacterial,19.99,9.94,8.11,36-60,Female,375769,54.87,3.82,5.93,Medication,15141.0,Yes,87.39,1459.0,3.74,6640.0,0.66,85.74 +40314,China,2015,Tuberculosis,Chronic,11.34,14.52,2.06,61+,Male,848597,66.65,2.28,3.88,Vaccination,37672.0,No,64.6,961.0,9.93,40479.0,0.57,54.24 +40316,Russia,2008,HIV/AIDS,Viral,19.4,5.43,5.84,61+,Other,746892,50.52,3.87,9.07,Therapy,39434.0,Yes,73.81,217.0,5.34,77804.0,0.67,65.7 +40322,Indonesia,2003,Cancer,Infectious,8.34,13.75,3.49,36-60,Male,590437,66.03,2.12,9.43,Medication,9397.0,Yes,91.23,2637.0,0.07,39184.0,0.54,75.74 +40323,Saudi Arabia,2020,Leprosy,Bacterial,16.8,11.78,7.5,19-35,Male,870590,96.37,1.12,8.63,Surgery,25098.0,No,55.4,3513.0,4.1,96994.0,0.48,63.46 +40324,Canada,2007,Rabies,Cardiovascular,7.79,6.84,8.05,0-18,Female,14376,95.46,0.55,8.75,Therapy,30994.0,No,89.51,29.0,7.33,10449.0,0.84,54.54 +40327,USA,2005,Zika,Parasitic,9.54,11.14,3.43,0-18,Male,337071,76.66,0.52,3.74,Surgery,1497.0,No,65.44,3486.0,3.66,31206.0,0.87,37.04 +40328,Mexico,2022,Influenza,Neurological,10.22,1.01,2.29,36-60,Female,372894,84.72,4.45,3.15,Therapy,28670.0,Yes,64.02,373.0,2.62,30052.0,0.82,41.65 +40329,Indonesia,2000,Leprosy,Genetic,18.41,1.63,7.54,19-35,Other,685790,80.33,0.75,3.07,Therapy,31208.0,No,80.81,4003.0,7.97,91771.0,0.5,87.27 +40330,UK,2003,Tuberculosis,Cardiovascular,13.84,9.25,7.29,36-60,Female,893291,86.99,4.31,4.77,Surgery,24898.0,No,63.27,1460.0,8.0,66555.0,0.58,33.09 +40350,Australia,2014,COVID-19,Viral,16.58,14.85,2.64,0-18,Male,135776,74.88,2.97,2.67,Therapy,28876.0,Yes,76.15,3116.0,7.63,98714.0,0.48,64.23 +40355,UK,2014,COVID-19,Viral,0.39,1.0,1.46,19-35,Other,833868,67.25,1.85,7.81,Medication,24450.0,Yes,83.77,1986.0,7.37,2001.0,0.61,31.58 +40357,Brazil,2023,Parkinson's Disease,Chronic,8.48,2.67,0.4,36-60,Male,958358,70.05,0.71,7.49,Surgery,21188.0,No,78.58,3731.0,2.32,1120.0,0.87,36.19 +40364,Turkey,2001,Leprosy,Genetic,8.09,6.15,0.17,0-18,Other,259334,53.66,3.62,7.17,Medication,44265.0,Yes,83.27,2214.0,3.53,28149.0,0.53,76.03 +40365,Nigeria,2016,Leprosy,Genetic,18.22,14.17,8.09,61+,Male,620817,96.25,1.41,8.37,Medication,48613.0,No,91.53,3471.0,3.95,51223.0,0.5,60.54 +40367,Brazil,2011,Influenza,Chronic,8.8,6.0,2.55,0-18,Other,601110,51.28,2.18,7.69,Therapy,40002.0,Yes,72.53,4458.0,8.63,95709.0,0.6,88.66 +40373,Italy,2012,Asthma,Cardiovascular,11.99,7.9,1.23,61+,Female,418522,57.77,1.78,4.75,Therapy,22777.0,No,69.33,249.0,9.21,49591.0,0.64,57.53 +40374,South Africa,2010,Cholera,Autoimmune,12.25,2.8,3.48,61+,Female,77039,79.08,0.56,5.98,Surgery,15991.0,No,67.51,482.0,3.46,71958.0,0.76,38.8 +40381,Brazil,2005,Influenza,Cardiovascular,17.54,14.27,8.99,19-35,Male,937224,59.42,0.61,4.82,Therapy,41347.0,Yes,64.97,4419.0,0.05,1550.0,0.51,87.53 +40382,Australia,2002,COVID-19,Chronic,10.61,6.01,0.86,0-18,Female,183209,94.41,3.8,8.29,Therapy,458.0,No,52.53,4922.0,5.03,72907.0,0.69,26.5 +40396,Mexico,2010,Parkinson's Disease,Chronic,18.76,8.63,8.13,36-60,Other,132902,95.5,4.37,9.04,Medication,10979.0,No,94.93,3190.0,7.28,87888.0,0.51,49.45 +40400,Argentina,2004,Leprosy,Infectious,5.6,5.39,7.84,0-18,Female,691791,78.94,0.59,1.37,Surgery,22082.0,Yes,54.45,4386.0,6.15,79216.0,0.46,61.33 +40408,Japan,2019,Influenza,Viral,17.93,2.16,4.56,0-18,Male,923708,56.21,2.82,7.4,Medication,15138.0,Yes,82.22,3696.0,9.97,58768.0,0.51,76.81 +40411,Turkey,2021,Polio,Cardiovascular,8.01,9.5,6.0,36-60,Male,485871,96.75,3.42,8.69,Surgery,13767.0,No,52.81,624.0,8.67,86790.0,0.78,53.07 +40413,Saudi Arabia,2022,HIV/AIDS,Metabolic,5.25,5.28,1.17,0-18,Other,270700,52.17,0.52,7.31,Medication,38970.0,No,58.69,3763.0,7.85,52040.0,0.66,76.42 +40416,China,2003,Hepatitis,Autoimmune,18.15,5.56,4.55,0-18,Male,543348,75.88,4.78,6.18,Therapy,19167.0,Yes,84.76,4505.0,2.34,69514.0,0.79,45.08 +40420,Germany,2019,Malaria,Viral,5.69,14.79,7.48,0-18,Male,795637,75.67,1.72,3.55,Surgery,45474.0,No,74.64,246.0,3.79,83714.0,0.6,73.54 +40427,India,2021,Influenza,Genetic,10.91,10.65,4.0,0-18,Other,486152,60.5,1.59,0.9,Vaccination,12976.0,Yes,60.88,2579.0,6.34,47523.0,0.87,55.77 +40430,Italy,2018,Cholera,Autoimmune,4.64,10.61,7.53,0-18,Female,285341,95.89,3.32,4.14,Vaccination,46855.0,No,56.95,610.0,5.43,68314.0,0.56,31.17 +40441,Germany,2016,Cancer,Parasitic,18.72,2.81,0.58,36-60,Female,67107,51.08,2.94,3.56,Vaccination,31721.0,Yes,63.52,195.0,1.9,22642.0,0.79,54.22 +40443,Mexico,2004,Cholera,Autoimmune,5.59,14.48,9.96,19-35,Male,638838,85.8,2.66,8.87,Therapy,6981.0,No,64.24,3365.0,7.33,33349.0,0.65,25.34 +40447,South Africa,2002,Leprosy,Autoimmune,6.24,9.29,9.67,0-18,Female,190391,93.57,2.68,7.29,Vaccination,18726.0,Yes,79.49,3696.0,5.07,87772.0,0.58,59.15 +40449,South Korea,2008,Malaria,Parasitic,18.41,10.22,7.6,36-60,Female,53767,91.56,1.97,2.7,Vaccination,30197.0,No,53.15,1366.0,6.69,58338.0,0.89,48.53 +40460,Japan,2024,Influenza,Neurological,5.61,11.72,3.57,19-35,Other,162817,90.59,4.69,3.95,Vaccination,24687.0,No,68.94,860.0,6.95,5512.0,0.46,75.81 +40463,South Africa,2009,Cancer,Cardiovascular,11.36,12.92,0.95,19-35,Female,709609,81.92,3.86,9.98,Vaccination,39873.0,Yes,81.58,778.0,6.09,81120.0,0.87,76.16 +40470,Germany,2001,Influenza,Infectious,1.15,8.37,2.1,19-35,Other,233762,51.95,3.48,8.93,Medication,13635.0,No,88.43,3275.0,3.2,60769.0,0.81,36.12 +40472,Turkey,2021,Measles,Cardiovascular,17.42,13.94,8.79,61+,Other,198273,87.66,3.26,7.96,Vaccination,25678.0,No,88.3,4404.0,3.29,99842.0,0.83,67.38 +40486,Germany,2008,Diabetes,Chronic,9.99,8.24,9.65,0-18,Other,902770,83.05,4.57,7.55,Therapy,35233.0,Yes,96.95,3583.0,3.18,90302.0,0.47,72.72 +40487,South Africa,2012,Malaria,Genetic,15.38,11.25,3.63,61+,Female,612988,99.31,4.64,0.84,Surgery,37694.0,No,51.38,3498.0,5.34,66137.0,0.82,40.51 +40489,Germany,2010,Hepatitis,Metabolic,12.02,6.97,0.84,36-60,Female,102038,59.48,0.66,9.77,Therapy,45020.0,No,84.1,1562.0,9.99,42461.0,0.48,28.91 +40493,Saudi Arabia,2020,Malaria,Genetic,17.27,1.68,0.22,61+,Male,970141,87.39,4.99,4.05,Therapy,9667.0,No,93.35,1329.0,8.02,5974.0,0.74,38.5 +40495,Germany,2004,Cancer,Viral,18.64,13.94,1.06,61+,Other,979334,79.68,3.42,5.87,Therapy,30381.0,No,90.5,2117.0,1.29,90135.0,0.77,29.44 +40496,Nigeria,2004,Ebola,Metabolic,13.76,2.46,4.92,0-18,Female,134158,99.47,4.39,5.22,Medication,18534.0,No,85.4,1806.0,6.05,38976.0,0.71,31.84 +40510,Nigeria,2021,Diabetes,Genetic,14.77,14.55,5.74,36-60,Male,370685,96.85,2.52,4.41,Surgery,35891.0,Yes,55.59,2260.0,4.62,22098.0,0.49,44.11 +40511,China,2024,Cholera,Autoimmune,7.01,4.36,8.57,61+,Male,244693,58.16,2.57,7.57,Surgery,34703.0,No,81.91,1825.0,5.7,84054.0,0.87,55.72 +40521,India,2017,Malaria,Chronic,3.74,0.62,4.06,61+,Male,826972,76.8,4.69,0.53,Therapy,8875.0,Yes,74.8,3472.0,8.8,65682.0,0.78,22.78 +40532,France,2006,Parkinson's Disease,Autoimmune,8.51,4.04,1.8,19-35,Male,859962,80.12,2.92,7.86,Vaccination,1280.0,No,91.28,1597.0,6.38,48601.0,0.59,45.78 +40536,Russia,2014,COVID-19,Genetic,18.71,2.42,9.91,19-35,Male,286609,89.52,0.86,7.56,Therapy,42024.0,Yes,57.61,2481.0,8.34,89819.0,0.76,78.55 +40538,Mexico,2006,Dengue,Infectious,13.67,1.95,9.55,19-35,Female,222772,68.98,2.27,6.61,Medication,9156.0,No,72.11,3815.0,7.78,14674.0,0.54,53.15 +40541,USA,2008,Polio,Bacterial,7.43,6.99,4.07,61+,Other,6096,52.74,3.27,5.94,Therapy,6545.0,Yes,57.13,906.0,2.26,71882.0,0.41,55.72 +40552,Canada,2000,Dengue,Chronic,6.35,5.89,4.51,19-35,Female,93038,61.09,1.84,7.64,Surgery,20121.0,No,72.19,248.0,6.99,37604.0,0.4,31.27 +40579,Turkey,2021,Dengue,Genetic,19.51,9.64,0.48,61+,Other,123033,76.03,4.23,7.96,Medication,15466.0,Yes,91.2,3259.0,6.97,56179.0,0.49,69.9 +40593,Japan,2018,Zika,Viral,3.35,3.73,5.39,0-18,Female,920036,60.98,2.25,1.59,Medication,40568.0,Yes,86.26,3022.0,0.91,70038.0,0.61,60.84 +40597,Italy,2005,Influenza,Metabolic,19.07,7.93,2.43,0-18,Female,631121,92.76,0.99,9.28,Surgery,2421.0,No,76.9,3729.0,5.93,57265.0,0.52,53.36 +40599,Germany,2018,Rabies,Respiratory,12.58,7.76,4.27,0-18,Female,744648,68.37,0.62,5.61,Vaccination,3749.0,Yes,82.51,1816.0,7.58,83377.0,0.42,65.86 +40601,UK,2001,Parkinson's Disease,Bacterial,17.88,9.18,2.05,36-60,Male,454423,63.59,3.55,9.52,Vaccination,47363.0,Yes,76.61,3543.0,7.41,94947.0,0.56,83.03 +40619,Japan,2002,Polio,Infectious,3.0,2.55,3.95,61+,Female,807491,62.88,4.73,6.76,Surgery,31195.0,No,65.01,3350.0,3.57,95723.0,0.52,43.34 +40626,South Korea,2022,Hepatitis,Neurological,7.48,7.67,4.91,61+,Female,378147,87.45,1.98,1.16,Surgery,35796.0,No,87.57,4255.0,7.73,52550.0,0.65,88.48 +40630,Indonesia,2019,Influenza,Chronic,8.0,0.73,6.78,36-60,Other,326770,76.42,2.02,2.14,Vaccination,39871.0,No,61.59,1518.0,3.99,91503.0,0.47,59.78 +40633,Japan,2021,Dengue,Respiratory,2.4,7.08,4.19,61+,Female,425784,59.62,1.13,1.39,Medication,13838.0,Yes,68.81,3950.0,5.91,53554.0,0.81,68.68 +40643,France,2000,Diabetes,Parasitic,11.48,14.32,2.04,19-35,Other,32826,93.75,4.07,3.85,Therapy,32845.0,Yes,85.44,1554.0,0.22,11190.0,0.44,37.24 +40647,Saudi Arabia,2010,Alzheimer's Disease,Viral,11.21,8.58,4.7,61+,Male,190785,94.22,1.07,3.68,Vaccination,49933.0,No,68.26,4272.0,6.0,12197.0,0.8,73.69 +40659,Nigeria,2020,Tuberculosis,Respiratory,17.6,2.34,0.36,36-60,Female,938919,55.69,3.64,1.41,Vaccination,44468.0,Yes,55.12,2968.0,3.58,78603.0,0.57,27.71 +40661,Mexico,2020,Influenza,Bacterial,10.27,14.21,1.0,19-35,Other,130193,66.25,0.75,7.41,Vaccination,34255.0,No,69.07,3604.0,6.37,92089.0,0.89,44.56 +40678,Turkey,2023,Asthma,Respiratory,19.78,12.02,5.68,61+,Male,909736,53.65,2.96,6.46,Therapy,35182.0,No,61.91,2025.0,6.03,76813.0,0.67,39.63 +40685,Brazil,2017,Influenza,Neurological,17.28,2.23,3.9,61+,Female,89697,82.22,2.0,4.97,Medication,10563.0,Yes,55.45,1375.0,6.18,36537.0,0.59,45.33 +40686,Japan,2012,Alzheimer's Disease,Neurological,14.64,3.42,5.58,36-60,Other,751190,54.33,4.57,6.73,Surgery,4418.0,Yes,76.94,2212.0,0.94,91751.0,0.7,60.43 +40689,Mexico,2007,Influenza,Autoimmune,4.26,7.31,1.7,0-18,Female,31489,71.49,0.52,2.08,Vaccination,46722.0,Yes,65.65,4503.0,8.49,88118.0,0.66,72.73 +40700,Mexico,2014,Ebola,Infectious,11.9,13.19,8.72,19-35,Other,383083,64.56,4.43,3.43,Surgery,558.0,No,89.02,406.0,8.2,76247.0,0.42,56.39 +40704,Nigeria,2018,Malaria,Genetic,10.87,13.63,6.51,36-60,Other,298804,89.18,2.92,2.47,Therapy,17687.0,Yes,69.66,107.0,4.55,24104.0,0.43,54.24 +40721,South Africa,2000,Measles,Cardiovascular,14.09,8.36,5.51,61+,Female,153751,81.51,4.25,8.07,Surgery,41806.0,No,85.02,4530.0,3.08,35681.0,0.54,58.15 +40730,Saudi Arabia,2009,Polio,Viral,12.86,3.34,2.99,0-18,Other,127166,65.95,4.13,6.23,Medication,42840.0,Yes,97.86,428.0,6.94,66894.0,0.66,41.53 +40738,Australia,2006,Asthma,Cardiovascular,8.7,14.48,5.11,19-35,Male,827305,70.64,2.28,9.26,Therapy,13626.0,Yes,83.46,78.0,2.59,41132.0,0.65,52.18 +40739,South Korea,2022,Measles,Metabolic,12.96,13.4,6.3,61+,Male,414056,59.15,3.38,5.45,Therapy,16351.0,No,83.44,268.0,2.63,13413.0,0.68,43.6 +40740,South Africa,2021,Zika,Genetic,8.22,14.91,4.02,0-18,Other,820111,78.56,1.86,2.05,Vaccination,28400.0,No,57.82,482.0,7.07,22089.0,0.56,20.1 +40742,Germany,2016,Cholera,Genetic,17.35,14.54,5.79,0-18,Female,774219,68.72,1.26,6.42,Surgery,48473.0,No,76.73,4305.0,4.36,99332.0,0.55,64.44 +40744,China,2012,Leprosy,Parasitic,15.45,0.64,5.67,0-18,Other,498205,55.66,1.0,8.04,Surgery,38924.0,Yes,71.84,2680.0,3.57,80731.0,0.73,73.58 +40746,Russia,2024,Hepatitis,Parasitic,1.14,1.47,3.58,36-60,Female,742865,61.93,1.19,2.37,Vaccination,25892.0,Yes,60.25,1187.0,0.13,78688.0,0.5,56.73 +40762,Saudi Arabia,2023,Measles,Metabolic,17.01,5.3,4.62,36-60,Other,818565,90.17,3.37,8.99,Medication,9437.0,Yes,60.46,2772.0,3.42,29991.0,0.89,38.9 +40775,Nigeria,2023,Diabetes,Respiratory,3.26,1.44,7.54,19-35,Male,605111,57.48,3.96,5.55,Surgery,23868.0,Yes,86.32,3955.0,2.98,97542.0,0.83,58.65 +40785,Canada,2021,Ebola,Cardiovascular,6.19,14.75,0.37,0-18,Other,559530,69.83,1.42,6.78,Therapy,34921.0,No,62.93,1498.0,0.7,82441.0,0.72,35.28 +40787,USA,2010,Polio,Respiratory,10.17,11.11,2.6,61+,Female,670732,82.06,1.42,4.53,Surgery,31503.0,Yes,96.01,723.0,7.09,81058.0,0.6,66.85 +40789,Germany,2009,Parkinson's Disease,Respiratory,8.43,7.8,7.44,0-18,Other,268775,63.09,0.56,8.12,Surgery,3152.0,Yes,95.62,14.0,9.08,43899.0,0.45,57.96 +40793,Japan,2023,Diabetes,Infectious,9.77,1.47,8.39,19-35,Female,945877,72.32,4.92,2.28,Surgery,23394.0,Yes,72.9,2989.0,5.42,91328.0,0.63,45.87 +40796,Canada,2018,Hepatitis,Autoimmune,14.15,14.58,0.13,19-35,Male,816724,50.19,3.92,5.4,Vaccination,16724.0,Yes,62.5,4088.0,5.45,21499.0,0.51,82.41 +40808,Italy,2002,Asthma,Chronic,11.2,8.51,9.8,19-35,Female,814913,56.12,2.46,7.5,Surgery,19218.0,Yes,83.3,653.0,6.13,24775.0,0.82,83.38 +40816,Indonesia,2001,Hypertension,Genetic,9.8,5.44,7.17,19-35,Other,959102,95.34,1.16,2.39,Surgery,11006.0,Yes,74.84,296.0,0.13,64472.0,0.43,50.98 +40821,Canada,2020,Parkinson's Disease,Metabolic,9.33,13.39,0.32,0-18,Male,654924,65.4,4.71,1.62,Vaccination,46441.0,Yes,60.17,2755.0,7.61,10329.0,0.72,34.1 +40827,Turkey,2014,Rabies,Viral,8.81,7.14,8.33,0-18,Other,346754,74.67,2.8,1.16,Surgery,42365.0,No,50.74,2038.0,3.72,77823.0,0.75,34.62 +40831,Italy,2002,Rabies,Cardiovascular,17.47,14.03,2.46,36-60,Other,413505,81.36,3.81,4.53,Surgery,37362.0,No,61.61,2867.0,4.57,8451.0,0.8,71.42 +40843,Brazil,2005,COVID-19,Viral,0.66,4.04,1.95,19-35,Other,809205,64.41,3.85,9.19,Therapy,29769.0,No,82.79,4564.0,3.99,7167.0,0.86,85.16 +40850,UK,2008,Influenza,Neurological,11.74,14.68,3.19,0-18,Male,614666,66.85,3.93,7.86,Therapy,9675.0,Yes,85.98,2716.0,3.18,46647.0,0.83,49.75 +40853,Turkey,2011,Ebola,Genetic,3.08,12.98,5.45,0-18,Female,33797,86.14,1.45,2.26,Surgery,42083.0,No,91.65,3014.0,0.62,22847.0,0.43,24.31 +40881,Mexico,2020,Cholera,Bacterial,13.08,3.93,4.16,19-35,Male,228317,51.83,1.44,4.06,Therapy,14455.0,Yes,92.34,1817.0,8.5,50338.0,0.42,50.41 +40887,Brazil,2010,Asthma,Autoimmune,9.46,4.98,9.26,0-18,Male,230350,89.36,1.2,9.17,Vaccination,5974.0,Yes,69.79,3173.0,2.65,68627.0,0.68,69.56 +40892,Nigeria,2011,Diabetes,Bacterial,11.82,13.7,8.69,36-60,Male,469088,99.16,1.61,7.57,Vaccination,29964.0,Yes,95.49,1573.0,9.12,1802.0,0.55,35.16 +40893,Germany,2022,Influenza,Autoimmune,6.01,1.19,7.4,19-35,Female,664589,78.93,2.64,9.12,Surgery,36405.0,Yes,64.15,2611.0,0.52,47513.0,0.48,41.41 +40895,UK,2007,Measles,Neurological,8.3,8.85,9.11,0-18,Other,254351,65.64,3.2,8.69,Vaccination,17345.0,No,56.09,2965.0,2.59,3993.0,0.71,30.38 +40899,Canada,2002,Cancer,Respiratory,19.11,10.99,1.56,36-60,Male,802115,91.75,3.12,5.14,Vaccination,21005.0,Yes,91.12,3443.0,6.95,76604.0,0.77,22.37 +40908,Germany,2022,Measles,Infectious,2.93,10.11,4.7,19-35,Female,393632,92.37,1.23,9.28,Vaccination,27843.0,Yes,50.09,1183.0,8.6,44344.0,0.46,79.81 +40911,India,2006,Influenza,Viral,15.88,13.95,4.69,19-35,Other,269862,51.15,2.22,5.64,Therapy,5456.0,Yes,52.51,3027.0,7.71,91218.0,0.42,26.76 +40916,Italy,2014,Measles,Cardiovascular,10.12,6.98,5.98,0-18,Male,614462,56.14,3.06,3.45,Medication,27267.0,Yes,63.86,399.0,4.65,18868.0,0.5,66.66 +40929,Mexico,2021,Hepatitis,Infectious,2.68,5.09,9.53,19-35,Other,395448,55.46,0.54,7.69,Medication,39326.0,No,85.41,88.0,1.5,63572.0,0.72,23.86 +40932,France,2012,Ebola,Autoimmune,9.33,0.35,7.15,0-18,Female,944426,70.64,1.94,3.85,Vaccination,796.0,Yes,57.45,3014.0,1.2,98185.0,0.79,73.2 +40934,France,2006,Rabies,Autoimmune,9.96,2.6,2.96,61+,Other,856490,94.75,4.46,0.73,Vaccination,3186.0,No,97.01,3619.0,8.02,14296.0,0.55,87.18 +40944,Turkey,2016,Cholera,Infectious,17.21,2.65,8.89,0-18,Male,184528,67.15,0.63,8.66,Vaccination,31438.0,Yes,77.55,4006.0,8.44,44795.0,0.57,25.83 +40949,USA,2018,Polio,Infectious,8.19,3.77,0.75,61+,Male,812228,93.16,4.36,1.43,Therapy,8420.0,No,59.87,491.0,9.76,33581.0,0.58,21.79 +40950,UK,2014,Asthma,Neurological,17.17,13.61,8.44,19-35,Other,569537,70.7,4.91,5.46,Surgery,40940.0,No,71.81,2541.0,4.32,28108.0,0.44,33.09 +40951,Italy,2003,COVID-19,Respiratory,19.02,14.92,9.35,19-35,Female,37266,97.87,1.23,1.88,Vaccination,16584.0,Yes,50.96,4796.0,9.63,30143.0,0.64,37.18 +40952,Australia,2020,Cholera,Respiratory,6.13,13.11,9.9,61+,Other,426907,98.47,4.22,6.22,Vaccination,30637.0,No,88.45,1597.0,9.63,31151.0,0.87,71.27 +40977,Australia,2014,Dengue,Neurological,10.32,3.18,4.49,36-60,Female,24714,71.47,4.87,1.54,Vaccination,2229.0,No,88.19,886.0,4.75,28950.0,0.46,68.52 +40980,South Africa,2021,Cancer,Chronic,13.58,8.11,6.54,19-35,Female,778739,87.85,3.48,5.21,Therapy,43138.0,Yes,62.41,3329.0,0.09,61415.0,0.7,60.2 +40988,Russia,2002,Zika,Genetic,18.53,9.08,7.9,61+,Male,320361,61.16,4.14,0.72,Medication,9370.0,No,66.51,544.0,1.8,31323.0,0.56,68.56 +40992,China,2014,HIV/AIDS,Metabolic,3.2,4.81,3.05,19-35,Other,73664,85.93,2.84,4.24,Therapy,24449.0,No,65.31,2835.0,0.0,62340.0,0.66,63.23 +40995,Germany,2004,Rabies,Infectious,12.88,11.6,0.15,19-35,Female,299323,80.17,1.32,5.92,Medication,10722.0,Yes,71.49,3270.0,7.36,73306.0,0.6,20.58 +41004,South Korea,2015,Alzheimer's Disease,Metabolic,19.17,3.46,0.82,0-18,Other,783387,57.69,2.76,1.66,Vaccination,40194.0,Yes,62.12,778.0,5.24,11557.0,0.56,34.0 +41014,Germany,2018,Diabetes,Parasitic,0.37,7.24,7.72,61+,Female,178998,60.34,0.53,4.17,Therapy,43074.0,No,90.35,2474.0,5.54,57028.0,0.67,36.49 +41016,Indonesia,2022,Hypertension,Cardiovascular,18.9,7.05,7.44,61+,Other,376013,96.86,2.05,0.51,Therapy,4900.0,No,91.23,1833.0,3.5,98069.0,0.42,85.87 +41025,UK,2023,Dengue,Viral,8.51,12.08,2.41,0-18,Male,3081,79.72,4.45,8.89,Vaccination,35365.0,Yes,61.16,3686.0,7.54,94268.0,0.5,30.65 +41026,Turkey,2021,Leprosy,Autoimmune,9.87,0.47,8.67,36-60,Male,93215,83.99,2.76,0.53,Surgery,38722.0,Yes,89.24,4108.0,0.23,2634.0,0.8,68.57 +41027,France,2011,Parkinson's Disease,Autoimmune,19.48,11.27,5.38,19-35,Male,691728,61.15,0.52,4.27,Surgery,36897.0,No,51.86,4174.0,8.77,22435.0,0.89,24.91 +41028,UK,2023,Malaria,Neurological,4.17,8.46,4.83,19-35,Male,145339,61.6,1.45,4.18,Therapy,22447.0,No,59.01,101.0,9.86,88648.0,0.6,79.34 +41033,India,2018,Diabetes,Cardiovascular,16.27,8.92,4.21,61+,Other,611001,88.85,3.51,6.38,Surgery,8948.0,Yes,57.12,4155.0,3.27,89069.0,0.78,77.22 +41035,Saudi Arabia,2012,COVID-19,Cardiovascular,18.97,9.22,8.48,19-35,Male,168452,51.8,1.46,7.74,Therapy,43317.0,Yes,78.14,2292.0,9.55,32367.0,0.49,42.38 +41036,Italy,2021,Leprosy,Autoimmune,7.25,3.19,6.06,36-60,Other,774643,83.54,4.48,5.79,Therapy,556.0,No,53.35,3988.0,3.42,94651.0,0.84,29.04 +41038,South Korea,2000,Hepatitis,Autoimmune,15.19,10.34,6.53,61+,Male,133654,95.74,1.9,1.4,Medication,17074.0,Yes,61.16,3693.0,0.96,22122.0,0.8,40.8 +41040,Saudi Arabia,2018,Cholera,Viral,0.91,12.61,2.58,61+,Other,464983,56.9,2.28,0.94,Therapy,24857.0,Yes,94.96,4447.0,7.18,46355.0,0.77,80.15 +41042,Brazil,2010,Measles,Parasitic,13.22,12.5,2.99,19-35,Male,4558,78.39,2.21,5.06,Surgery,28092.0,No,94.12,3095.0,8.75,45589.0,0.48,58.06 +41047,UK,2024,Diabetes,Cardiovascular,2.39,2.97,1.78,36-60,Male,974616,72.23,3.42,3.52,Medication,37396.0,Yes,60.54,4603.0,3.37,30532.0,0.58,36.87 +41052,Argentina,2013,Measles,Neurological,7.8,8.1,2.8,36-60,Other,583381,60.91,2.58,3.03,Surgery,45899.0,No,54.01,1292.0,6.88,92467.0,0.88,85.79 +41053,South Africa,2024,Tuberculosis,Viral,6.56,0.37,5.55,0-18,Male,403469,58.01,3.06,4.05,Therapy,35725.0,Yes,61.12,3963.0,7.94,46920.0,0.79,76.13 +41054,Indonesia,2005,Zika,Parasitic,3.83,13.11,1.66,19-35,Other,259468,56.24,2.34,6.66,Vaccination,48041.0,No,78.87,4524.0,7.94,20071.0,0.78,80.11 +41061,Australia,2003,Measles,Metabolic,18.51,8.87,7.46,0-18,Other,43515,94.09,1.68,7.3,Medication,48082.0,Yes,83.62,977.0,5.92,1140.0,0.42,47.46 +41066,South Korea,2004,Leprosy,Viral,4.07,11.64,1.0,0-18,Female,917141,56.8,2.35,0.72,Therapy,39519.0,Yes,86.38,115.0,4.65,30063.0,0.57,33.05 +41067,China,2023,Rabies,Respiratory,18.56,9.46,5.63,19-35,Other,714058,86.67,2.33,8.12,Surgery,14573.0,No,95.89,1574.0,6.53,12092.0,0.79,50.71 +41069,USA,2002,Alzheimer's Disease,Metabolic,17.23,4.31,8.85,61+,Female,29421,89.86,2.92,5.94,Surgery,8462.0,Yes,97.14,184.0,9.04,44588.0,0.6,74.94 +41073,Mexico,2007,Leprosy,Metabolic,1.93,7.35,7.27,0-18,Other,88204,56.41,1.78,9.23,Medication,38643.0,No,97.26,3096.0,9.69,32537.0,0.42,38.26 +41074,Canada,2000,Dengue,Autoimmune,17.11,14.73,6.0,0-18,Male,694755,95.69,4.46,5.89,Surgery,30273.0,Yes,57.57,4227.0,6.02,90237.0,0.56,46.16 +41079,China,2008,Cholera,Autoimmune,3.93,4.76,6.72,19-35,Male,454621,71.33,2.0,3.34,Surgery,44348.0,No,94.0,3938.0,6.64,73956.0,0.51,49.08 +41083,Italy,2015,Hypertension,Chronic,8.44,4.61,8.87,61+,Other,202668,62.19,0.93,8.0,Surgery,37796.0,No,76.24,2145.0,2.6,60926.0,0.45,32.47 +41091,China,2006,COVID-19,Metabolic,5.4,4.8,7.76,61+,Female,302188,82.04,2.07,3.81,Vaccination,5972.0,Yes,92.04,3924.0,1.54,2331.0,0.68,53.67 +41094,France,2010,Hypertension,Infectious,8.97,5.55,3.49,19-35,Other,591081,66.82,0.85,1.16,Vaccination,4402.0,No,68.72,4031.0,7.35,83069.0,0.77,76.93 +41097,Indonesia,2002,Influenza,Viral,0.94,3.81,7.69,0-18,Male,74562,94.8,2.67,4.52,Vaccination,7911.0,No,89.15,3204.0,4.74,96750.0,0.7,42.62 +41098,Italy,2011,Zika,Chronic,3.89,14.66,6.68,0-18,Male,674139,84.11,2.08,5.55,Medication,6160.0,Yes,95.04,4185.0,0.91,82048.0,0.8,70.83 +41107,France,2023,Leprosy,Metabolic,16.12,11.99,5.85,0-18,Male,988282,97.85,1.59,9.66,Surgery,46005.0,No,97.41,2736.0,2.17,15225.0,0.47,87.02 +41112,Italy,2010,Zika,Viral,11.74,8.74,1.34,61+,Male,951703,71.36,3.91,3.26,Medication,18720.0,No,52.57,4989.0,1.94,80577.0,0.59,49.17 +41114,Nigeria,2009,Diabetes,Respiratory,8.27,1.53,1.82,19-35,Other,326454,72.27,2.1,4.35,Surgery,15677.0,Yes,90.22,3760.0,2.19,33978.0,0.85,71.83 +41115,India,2014,Dengue,Infectious,3.43,13.91,6.46,36-60,Female,38101,70.6,1.84,3.11,Therapy,49857.0,Yes,94.64,290.0,3.76,10565.0,0.6,36.71 +41122,Canada,2004,Cancer,Bacterial,4.05,8.39,9.77,0-18,Female,302250,68.63,2.57,4.93,Vaccination,28121.0,No,63.5,1431.0,4.17,69436.0,0.51,37.79 +41133,Japan,2002,Measles,Metabolic,7.6,5.17,2.66,19-35,Male,677152,74.16,1.3,6.58,Surgery,28786.0,No,64.93,4962.0,9.8,75262.0,0.4,43.35 +41149,Mexico,2013,Tuberculosis,Respiratory,16.7,5.69,3.34,61+,Male,601528,85.77,4.49,9.26,Medication,4890.0,No,71.5,4434.0,7.51,71052.0,0.73,39.42 +41159,Turkey,2001,COVID-19,Chronic,6.66,3.04,4.94,19-35,Male,611066,89.07,1.45,5.99,Medication,49557.0,No,88.25,4734.0,2.07,77838.0,0.86,31.01 +41163,USA,2010,Influenza,Metabolic,12.58,9.16,6.51,0-18,Other,84128,96.42,1.25,3.86,Medication,43811.0,No,58.8,3255.0,6.73,46983.0,0.85,31.2 +41170,France,2013,Asthma,Cardiovascular,10.96,3.51,3.46,0-18,Other,354308,51.67,4.69,6.13,Medication,7443.0,Yes,69.94,2938.0,2.48,76680.0,0.51,36.07 +41172,UK,2004,Measles,Cardiovascular,14.73,0.86,6.71,36-60,Other,756687,51.43,3.16,3.08,Vaccination,27587.0,No,72.14,4184.0,0.29,73757.0,0.49,37.73 +41183,Japan,2001,Malaria,Neurological,13.32,14.62,1.07,61+,Other,688142,96.94,0.51,5.54,Vaccination,33197.0,No,65.67,1078.0,4.57,82733.0,0.58,64.3 +41186,USA,2014,Cholera,Genetic,7.74,9.95,0.83,19-35,Male,695624,61.37,4.3,9.91,Vaccination,12339.0,No,56.0,2527.0,4.82,17000.0,0.88,73.53 +41193,India,2002,Parkinson's Disease,Bacterial,14.08,8.8,7.88,61+,Other,739197,87.07,2.72,2.47,Vaccination,24478.0,No,77.95,1054.0,4.91,65509.0,0.54,72.44 +41195,Brazil,2019,Cholera,Cardiovascular,1.29,0.18,7.47,61+,Female,228435,85.19,4.66,5.9,Medication,9555.0,Yes,55.9,891.0,2.28,80163.0,0.84,38.98 +41203,Indonesia,2023,Cholera,Respiratory,7.06,6.2,7.33,0-18,Male,488189,80.5,1.83,6.85,Medication,17145.0,Yes,97.83,1503.0,8.19,46153.0,0.56,62.17 +41207,Australia,2010,Malaria,Autoimmune,9.74,5.41,3.58,36-60,Other,442951,53.04,4.57,6.03,Surgery,13816.0,Yes,87.03,1411.0,4.77,69044.0,0.47,41.7 +41208,South Africa,2022,Cancer,Chronic,10.92,6.16,5.32,36-60,Male,565956,77.06,2.36,5.37,Therapy,13898.0,No,94.7,3413.0,2.4,97368.0,0.42,64.32 +41210,China,2002,Zika,Viral,3.26,9.99,1.18,36-60,Other,440694,74.83,2.13,8.27,Vaccination,45380.0,Yes,83.66,639.0,3.67,30714.0,0.54,88.13 +41221,Argentina,2020,Tuberculosis,Cardiovascular,7.04,6.87,8.47,36-60,Other,699604,50.29,1.27,1.37,Vaccination,36015.0,No,94.75,1202.0,8.74,38740.0,0.66,76.67 +41225,Germany,2006,Alzheimer's Disease,Autoimmune,9.47,0.8,1.95,36-60,Female,156349,61.54,1.06,6.47,Vaccination,21338.0,Yes,76.01,620.0,4.63,47434.0,0.8,41.09 +41230,Germany,2018,Hepatitis,Autoimmune,16.69,7.01,2.41,36-60,Other,679035,92.81,2.9,4.1,Surgery,8790.0,No,54.51,2229.0,1.36,74892.0,0.78,81.63 +41235,USA,2008,Dengue,Infectious,12.26,14.21,9.33,36-60,Male,340848,64.08,2.79,5.77,Medication,26829.0,No,88.52,3449.0,4.72,1489.0,0.49,40.77 +41238,Mexico,2003,Malaria,Neurological,9.22,4.29,8.45,19-35,Other,934329,79.51,3.79,2.95,Therapy,2528.0,No,77.32,396.0,6.46,99975.0,0.85,81.08 +41243,Canada,2006,Hepatitis,Cardiovascular,11.16,5.99,7.04,61+,Other,914082,52.78,3.33,7.72,Surgery,44200.0,No,55.77,97.0,4.05,10699.0,0.41,61.87 +41247,China,2007,Rabies,Infectious,16.46,8.31,8.53,19-35,Female,344354,66.36,3.97,5.69,Medication,6653.0,No,93.13,3180.0,6.91,82538.0,0.62,76.34 +41251,Indonesia,2004,Measles,Genetic,19.61,13.08,1.05,36-60,Other,206475,54.94,1.89,8.06,Therapy,9289.0,Yes,65.66,3147.0,4.97,96392.0,0.61,79.33 +41252,Turkey,2015,Parkinson's Disease,Neurological,14.59,14.15,0.6,61+,Female,429948,74.6,4.26,3.56,Surgery,35531.0,Yes,85.75,4862.0,3.28,15239.0,0.69,54.65 +41255,UK,2013,Polio,Genetic,5.34,3.38,4.04,19-35,Male,587179,89.72,3.0,0.91,Medication,1896.0,Yes,97.53,1695.0,3.37,58187.0,0.77,33.86 +41256,Canada,2014,Tuberculosis,Respiratory,1.21,14.42,8.95,19-35,Male,243146,71.64,3.81,6.04,Vaccination,34260.0,Yes,50.43,2689.0,7.07,39677.0,0.62,58.08 +41264,Japan,2019,Tuberculosis,Viral,11.76,10.96,4.7,0-18,Other,494723,51.75,3.22,5.46,Medication,18235.0,Yes,54.76,3492.0,2.01,47583.0,0.59,82.25 +41271,Saudi Arabia,2006,Cholera,Cardiovascular,17.25,5.08,6.88,19-35,Male,471411,76.04,1.12,0.71,Therapy,27737.0,No,97.18,3344.0,5.39,66720.0,0.8,35.56 +41277,Argentina,2019,Parkinson's Disease,Genetic,19.95,6.11,6.03,0-18,Other,571414,59.67,1.89,3.44,Medication,8898.0,Yes,69.48,3012.0,2.53,29416.0,0.42,44.74 +41288,Italy,2012,Measles,Neurological,3.49,6.97,9.66,36-60,Male,186492,85.1,3.03,0.63,Therapy,20676.0,Yes,57.94,1833.0,7.02,78039.0,0.56,33.66 +41292,Mexico,2018,Rabies,Chronic,5.69,12.06,4.38,61+,Other,906603,92.3,3.07,8.49,Vaccination,34735.0,Yes,64.41,3677.0,5.82,88255.0,0.71,26.32 +41296,South Africa,2018,Zika,Genetic,9.37,0.96,8.58,19-35,Other,911017,58.93,1.69,6.67,Medication,2527.0,Yes,66.19,2506.0,7.81,29277.0,0.55,28.7 +41300,Turkey,2024,Malaria,Autoimmune,13.98,0.77,6.87,0-18,Female,936343,68.93,2.43,4.18,Vaccination,22580.0,No,87.8,2839.0,9.48,60750.0,0.86,27.9 +41303,USA,2016,Asthma,Viral,10.14,11.75,9.65,36-60,Female,42841,88.73,2.9,3.23,Medication,45354.0,Yes,85.14,1472.0,4.91,9879.0,0.44,83.03 +41306,Brazil,2015,Tuberculosis,Cardiovascular,6.14,3.78,3.2,61+,Other,951867,95.95,4.47,2.07,Therapy,652.0,Yes,96.1,2537.0,6.4,48720.0,0.51,47.69 +41314,Saudi Arabia,2015,Asthma,Viral,8.55,8.07,3.89,61+,Other,515041,96.35,2.89,8.31,Therapy,5669.0,Yes,87.53,1404.0,7.2,86672.0,0.59,27.79 +41319,Turkey,2017,Cancer,Neurological,5.41,13.39,7.73,61+,Other,338798,73.87,2.92,1.6,Vaccination,744.0,Yes,58.11,2739.0,1.9,93069.0,0.48,60.67 +41324,Australia,2000,Rabies,Infectious,10.09,12.95,0.43,61+,Other,993088,77.84,1.58,8.15,Medication,30016.0,Yes,74.42,1120.0,8.85,45116.0,0.58,56.91 +41325,Russia,2006,Asthma,Cardiovascular,12.99,6.96,7.41,19-35,Female,345770,71.06,0.9,8.41,Surgery,31067.0,No,70.97,205.0,2.84,88220.0,0.55,29.5 +41330,France,2000,COVID-19,Cardiovascular,4.04,4.39,1.85,61+,Female,996188,87.45,4.15,7.04,Vaccination,43994.0,No,64.55,1316.0,3.54,2356.0,0.62,71.56 +41331,UK,2014,HIV/AIDS,Neurological,10.63,11.75,0.66,36-60,Other,111820,59.94,1.09,3.3,Vaccination,31177.0,Yes,93.01,2120.0,3.4,49153.0,0.5,43.04 +41334,France,2015,Cancer,Neurological,16.34,11.26,3.73,19-35,Other,901398,58.16,4.82,3.68,Therapy,8247.0,Yes,97.51,3589.0,9.17,22722.0,0.84,83.4 +41338,Italy,2000,Polio,Infectious,5.73,8.95,4.98,61+,Female,282737,69.92,4.83,1.98,Vaccination,43097.0,Yes,69.88,2944.0,7.0,41707.0,0.76,22.79 +41339,Brazil,2022,Cancer,Respiratory,10.84,12.69,4.06,0-18,Other,18593,75.19,4.04,9.95,Surgery,2679.0,No,66.61,3519.0,1.88,55225.0,0.69,42.85 +41344,Canada,2008,Influenza,Autoimmune,11.42,11.66,9.33,0-18,Other,266751,98.69,2.54,7.45,Surgery,23854.0,Yes,94.53,2362.0,4.57,88138.0,0.51,80.23 +41363,India,2022,Influenza,Viral,11.58,14.19,4.45,36-60,Other,21611,82.25,4.18,7.49,Vaccination,15559.0,No,78.08,4307.0,8.26,51672.0,0.73,87.3 +41365,Italy,2005,Dengue,Metabolic,19.32,4.39,8.72,61+,Other,525691,94.72,2.51,5.2,Medication,27162.0,Yes,68.71,212.0,0.96,58060.0,0.49,42.64 +41366,Japan,2001,COVID-19,Genetic,17.74,8.23,5.22,19-35,Other,436976,69.1,4.99,4.52,Surgery,7900.0,Yes,52.51,4855.0,4.26,86239.0,0.61,77.28 +41369,Germany,2007,HIV/AIDS,Bacterial,15.53,5.32,5.07,61+,Male,741167,62.68,3.46,2.6,Therapy,21313.0,No,67.77,4979.0,2.01,14407.0,0.45,74.43 +41380,Italy,2002,Hepatitis,Autoimmune,10.75,5.07,6.74,0-18,Male,747715,52.69,2.38,1.87,Medication,33988.0,Yes,90.45,565.0,3.26,52681.0,0.7,62.01 +41381,Australia,2024,Cholera,Neurological,11.96,1.08,0.51,36-60,Other,455333,66.81,0.59,4.41,Surgery,48732.0,No,59.82,4507.0,3.59,74322.0,0.46,68.31 +41383,Russia,2004,Alzheimer's Disease,Genetic,14.69,1.47,1.5,36-60,Other,110897,50.51,0.64,6.45,Medication,49234.0,Yes,91.08,4679.0,5.32,58994.0,0.54,70.94 +41387,India,2011,Malaria,Chronic,7.29,2.51,4.31,36-60,Female,930098,81.23,0.6,6.69,Medication,19897.0,No,92.07,3377.0,9.16,70945.0,0.83,79.94 +41392,Brazil,2003,HIV/AIDS,Autoimmune,7.86,11.05,1.0,19-35,Female,620487,68.17,3.95,3.75,Surgery,19781.0,No,78.05,2720.0,6.42,21015.0,0.67,29.08 +41397,Canada,2005,Influenza,Viral,16.07,8.99,0.4,36-60,Male,258265,96.26,4.17,8.02,Vaccination,21294.0,No,96.12,108.0,5.18,13233.0,0.44,78.18 +41399,Russia,2014,HIV/AIDS,Autoimmune,3.61,0.16,6.48,61+,Other,24820,57.9,1.7,5.31,Medication,22403.0,No,52.68,4092.0,6.52,96989.0,0.67,38.39 +41400,Nigeria,2021,Hepatitis,Chronic,1.18,2.04,1.53,19-35,Female,543224,69.5,4.33,6.2,Surgery,23489.0,Yes,65.72,4804.0,1.04,1855.0,0.69,44.03 +41407,Russia,2010,Asthma,Metabolic,10.08,0.38,3.43,0-18,Male,662240,89.83,4.31,5.51,Surgery,27284.0,Yes,53.81,2230.0,4.45,99375.0,0.76,63.28 +41408,Argentina,2020,Malaria,Chronic,18.7,8.81,4.04,61+,Male,369321,54.86,2.48,6.48,Therapy,8004.0,Yes,91.64,2044.0,3.99,30891.0,0.61,59.87 +41439,Mexico,2007,Zika,Respiratory,10.09,3.6,7.09,61+,Other,225102,71.62,2.82,4.64,Surgery,9351.0,Yes,77.28,3082.0,1.94,91545.0,0.5,72.7 +41442,China,2009,Cancer,Neurological,15.23,12.26,6.57,36-60,Other,600461,97.49,4.47,8.21,Medication,43142.0,No,62.04,3379.0,9.06,51374.0,0.46,46.8 +41448,South Africa,2019,Zika,Infectious,1.46,0.29,6.63,0-18,Male,361519,86.37,4.06,9.44,Vaccination,12034.0,No,54.12,1165.0,3.67,35399.0,0.89,68.32 +41454,Mexico,2002,Malaria,Bacterial,4.19,10.09,6.54,61+,Male,596540,86.13,3.29,6.24,Therapy,42261.0,Yes,85.61,73.0,2.67,20603.0,0.45,73.85 +41460,Turkey,2018,Cholera,Viral,2.9,10.14,1.2,61+,Male,982991,81.22,2.97,5.06,Surgery,34638.0,Yes,89.29,988.0,5.46,56287.0,0.75,67.74 +41484,Germany,2015,Leprosy,Infectious,5.96,2.18,1.79,19-35,Male,447002,66.8,3.52,1.59,Therapy,23549.0,Yes,77.83,149.0,7.62,67801.0,0.83,56.89 +41492,China,2019,Influenza,Parasitic,14.25,2.87,1.45,61+,Male,887973,69.08,4.07,5.49,Surgery,11751.0,Yes,55.3,3349.0,4.74,35124.0,0.62,61.19 +41502,Australia,2002,Parkinson's Disease,Autoimmune,4.01,4.97,7.87,19-35,Male,937335,83.96,1.1,4.75,Therapy,22611.0,No,90.74,699.0,7.78,75626.0,0.72,82.93 +41503,China,2000,Influenza,Genetic,18.83,7.53,2.65,36-60,Other,487326,89.34,3.46,1.64,Medication,43153.0,Yes,88.91,2750.0,5.22,11155.0,0.58,76.49 +41504,Canada,2000,Hepatitis,Cardiovascular,18.5,10.3,9.67,61+,Female,571541,96.23,4.09,0.8,Surgery,10714.0,Yes,77.74,2222.0,3.34,94910.0,0.63,78.13 +41509,Germany,2022,Diabetes,Autoimmune,16.81,12.61,7.61,61+,Male,563709,56.91,1.74,3.81,Medication,11352.0,Yes,52.39,3525.0,2.33,38942.0,0.46,26.52 +41514,China,2003,Alzheimer's Disease,Autoimmune,4.91,5.37,6.85,0-18,Male,509487,50.27,2.19,2.26,Therapy,35324.0,Yes,90.54,182.0,4.6,28325.0,0.87,83.18 +41518,UK,2014,Rabies,Bacterial,6.41,6.29,7.31,61+,Female,935660,93.34,2.7,3.98,Medication,28704.0,Yes,97.35,801.0,8.95,32568.0,0.86,74.97 +41529,Russia,2023,Leprosy,Respiratory,5.53,5.58,3.01,19-35,Female,971942,89.13,3.99,4.21,Therapy,8844.0,No,72.21,1765.0,2.67,10226.0,0.59,21.88 +41536,India,2010,Diabetes,Parasitic,18.49,10.56,1.04,19-35,Male,355660,66.28,1.44,6.7,Surgery,17546.0,Yes,55.68,1458.0,6.97,16424.0,0.7,67.82 +41540,Japan,2012,Hepatitis,Viral,2.95,5.31,3.75,19-35,Female,892699,51.25,0.93,0.64,Therapy,21271.0,Yes,83.95,1488.0,4.8,46749.0,0.74,55.76 +41542,USA,2010,COVID-19,Neurological,1.5,14.77,8.29,36-60,Male,164301,84.21,3.95,5.64,Surgery,5653.0,Yes,81.35,568.0,0.12,44027.0,0.42,82.81 +41548,USA,2013,Measles,Metabolic,11.43,13.2,5.88,61+,Male,153397,80.28,4.02,4.79,Therapy,39716.0,Yes,80.82,2047.0,4.56,1836.0,0.74,38.91 +41553,USA,2018,Tuberculosis,Autoimmune,17.08,7.26,7.22,19-35,Male,507630,88.95,4.86,4.96,Medication,30271.0,Yes,86.68,853.0,6.24,53441.0,0.56,29.6 +41561,Brazil,2007,Diabetes,Respiratory,18.97,3.81,5.05,19-35,Female,328994,68.19,1.0,2.2,Vaccination,31387.0,Yes,98.77,3373.0,0.24,14184.0,0.52,74.22 +41566,Japan,2008,COVID-19,Genetic,18.71,13.01,3.69,19-35,Female,69522,60.47,0.77,9.1,Vaccination,7266.0,Yes,64.38,262.0,7.02,89315.0,0.75,82.33 +41578,UK,2002,HIV/AIDS,Neurological,4.34,2.82,8.24,19-35,Other,456476,91.84,4.57,2.21,Medication,15921.0,No,51.28,3588.0,9.83,60411.0,0.69,27.85 +41580,South Africa,2006,Cholera,Metabolic,0.73,14.19,7.07,61+,Other,618972,95.09,3.98,1.77,Therapy,42902.0,No,74.86,2286.0,0.23,30050.0,0.78,51.47 +41591,Argentina,2006,Cholera,Genetic,8.16,9.36,7.1,36-60,Female,597622,86.54,1.54,7.57,Therapy,37712.0,Yes,65.63,2186.0,2.3,40742.0,0.86,57.25 +41594,South Korea,2023,Polio,Cardiovascular,14.99,12.04,5.52,61+,Female,218926,61.04,2.78,6.4,Medication,8412.0,Yes,87.35,3295.0,1.97,29174.0,0.56,80.21 +41606,India,2023,Alzheimer's Disease,Autoimmune,17.12,0.62,6.89,19-35,Male,168995,56.15,3.46,6.23,Medication,31604.0,Yes,98.25,3710.0,4.39,71802.0,0.61,63.32 +41608,Russia,2022,Parkinson's Disease,Genetic,12.85,11.21,1.32,19-35,Male,86902,97.04,0.76,8.46,Vaccination,20989.0,Yes,68.94,1010.0,3.73,96719.0,0.61,32.13 +41609,Italy,2024,Polio,Neurological,4.88,2.6,6.38,61+,Male,384337,73.61,3.75,7.1,Vaccination,22377.0,Yes,69.15,3636.0,2.58,10814.0,0.53,59.54 +41611,South Africa,2018,Malaria,Neurological,15.87,3.53,7.91,0-18,Other,837565,97.5,3.44,6.29,Surgery,19778.0,No,91.68,3340.0,7.51,19278.0,0.68,74.61 +41616,Germany,2013,Measles,Autoimmune,9.77,10.1,2.16,0-18,Male,483113,63.71,2.2,1.61,Therapy,11199.0,No,67.16,173.0,3.46,5045.0,0.82,48.06 +41617,Indonesia,2021,Zika,Genetic,9.72,7.67,5.68,19-35,Other,247712,85.34,2.17,4.59,Surgery,16117.0,No,87.13,215.0,1.52,98974.0,0.87,75.66 +41618,Brazil,2009,Measles,Bacterial,12.13,9.82,6.11,61+,Other,742750,81.4,4.81,7.44,Surgery,360.0,No,51.23,4274.0,3.76,38861.0,0.87,59.45 +41630,Russia,2021,COVID-19,Respiratory,19.19,11.78,2.65,36-60,Male,403611,60.93,2.76,8.79,Vaccination,6358.0,Yes,69.98,1501.0,8.44,31039.0,0.68,87.46 +41644,France,2004,Dengue,Neurological,10.1,5.98,3.85,61+,Female,684283,54.19,1.93,3.93,Surgery,7231.0,No,87.02,3300.0,5.47,90314.0,0.81,69.05 +41651,China,2011,Dengue,Infectious,2.26,0.35,1.3,19-35,Female,208087,64.72,2.58,4.25,Therapy,43606.0,Yes,50.05,1082.0,7.29,46261.0,0.5,58.12 +41658,Italy,2000,Hypertension,Genetic,14.78,0.55,0.9,61+,Other,25870,70.97,2.61,1.47,Therapy,17187.0,No,66.41,1417.0,5.74,99323.0,0.54,55.6 +41659,Argentina,2011,Asthma,Metabolic,18.34,3.96,2.33,61+,Female,779846,87.82,2.2,5.61,Surgery,23256.0,Yes,93.54,1947.0,9.01,42715.0,0.52,42.08 +41664,China,2013,Malaria,Parasitic,11.45,4.59,9.38,0-18,Other,82944,63.75,2.9,4.75,Medication,43240.0,No,86.58,3767.0,8.94,22442.0,0.62,31.57 +41680,Japan,2001,Diabetes,Infectious,3.62,0.23,4.07,19-35,Other,811647,67.73,3.34,6.97,Vaccination,49563.0,No,57.25,1022.0,8.12,72768.0,0.73,68.57 +41692,South Korea,2014,Hepatitis,Autoimmune,17.22,11.32,9.03,19-35,Other,169396,81.5,3.16,2.39,Medication,8226.0,No,68.78,4602.0,7.35,50153.0,0.63,54.09 +41700,Japan,2011,Parkinson's Disease,Bacterial,8.16,6.55,1.42,0-18,Other,758510,82.32,1.09,5.05,Medication,22741.0,No,65.66,4896.0,4.04,14882.0,0.47,68.43 +41705,India,2000,Dengue,Cardiovascular,11.8,1.48,9.85,36-60,Female,751103,72.94,4.13,6.47,Vaccination,13336.0,Yes,74.31,2759.0,7.99,72320.0,0.72,73.93 +41707,Indonesia,2019,Leprosy,Neurological,6.42,3.39,8.67,19-35,Other,891740,65.37,3.66,8.7,Therapy,38831.0,No,54.38,1696.0,9.13,55176.0,0.44,25.4 +41710,Canada,2019,Zika,Viral,6.78,3.2,5.77,0-18,Other,552162,91.05,0.61,7.01,Therapy,9695.0,Yes,75.04,4050.0,1.0,74215.0,0.48,63.87 +41720,Russia,2008,Hepatitis,Chronic,2.24,7.89,9.72,0-18,Female,366012,72.12,4.58,1.87,Therapy,48762.0,No,59.54,556.0,9.63,18349.0,0.77,59.79 +41722,Mexico,2011,COVID-19,Bacterial,3.63,4.47,6.76,36-60,Female,891754,70.2,1.28,2.01,Surgery,24809.0,Yes,50.09,4213.0,4.33,89118.0,0.82,25.11 +41731,France,2012,Cancer,Cardiovascular,0.29,6.86,0.83,36-60,Female,680315,67.57,0.86,4.21,Surgery,46998.0,No,98.46,818.0,7.66,43167.0,0.57,28.86 +41736,Turkey,2020,Measles,Neurological,1.11,5.02,9.13,0-18,Female,563575,81.02,1.15,7.89,Surgery,14043.0,No,80.22,2952.0,2.98,96546.0,0.74,47.83 +41737,Russia,2015,Measles,Genetic,18.06,0.44,9.95,19-35,Female,297120,51.48,1.57,8.33,Vaccination,4481.0,Yes,91.42,1619.0,0.27,77744.0,0.46,74.35 +41739,Australia,2012,Hypertension,Metabolic,17.71,5.56,2.3,36-60,Female,918353,63.32,4.36,3.24,Medication,7204.0,Yes,98.07,3255.0,3.97,10129.0,0.7,39.66 +41742,South Africa,2001,Asthma,Neurological,6.98,4.04,10.0,61+,Other,639332,60.67,3.04,6.51,Therapy,27197.0,Yes,58.29,3879.0,9.29,44144.0,0.47,62.11 +41744,Russia,2017,Hepatitis,Metabolic,10.53,7.36,5.78,0-18,Other,321315,60.43,1.14,6.61,Vaccination,45020.0,Yes,90.76,4772.0,6.17,2885.0,0.82,33.02 +41746,Canada,2015,Asthma,Respiratory,10.97,1.66,4.12,0-18,Male,339111,62.14,1.14,8.15,Medication,35594.0,No,68.34,2006.0,2.13,5063.0,0.81,44.01 +41747,China,2000,Rabies,Chronic,12.37,10.02,3.95,61+,Female,547060,86.65,4.34,1.51,Medication,32477.0,Yes,70.32,2897.0,9.59,6720.0,0.79,82.01 +41754,Argentina,2009,Cancer,Infectious,2.06,6.5,9.55,61+,Female,490291,91.52,4.62,2.03,Therapy,1187.0,No,51.74,2865.0,0.68,15284.0,0.74,72.01 +41756,Japan,2006,Zika,Viral,13.47,14.6,2.58,0-18,Male,643185,86.09,1.15,0.85,Vaccination,12138.0,Yes,62.08,3136.0,0.94,83239.0,0.47,54.66 +41758,Russia,2008,Parkinson's Disease,Neurological,4.97,12.72,9.29,36-60,Male,788797,88.26,1.47,0.52,Vaccination,31289.0,Yes,57.83,3467.0,1.93,32050.0,0.47,88.78 +41767,Indonesia,2013,Alzheimer's Disease,Autoimmune,7.64,10.99,1.38,61+,Other,82587,75.21,1.87,1.19,Therapy,30483.0,No,55.56,29.0,7.38,11398.0,0.88,63.19 +41773,USA,2011,Tuberculosis,Genetic,5.94,9.17,6.88,0-18,Female,528687,70.67,0.56,4.43,Therapy,9851.0,Yes,50.71,4916.0,9.43,30613.0,0.88,38.61 +41775,South Africa,2007,Cancer,Neurological,19.9,7.6,9.91,61+,Male,916944,90.91,2.76,5.33,Vaccination,17939.0,Yes,84.34,30.0,9.15,23861.0,0.41,60.44 +41779,Italy,2007,Alzheimer's Disease,Parasitic,3.12,8.38,5.16,19-35,Female,954363,67.51,2.97,8.44,Surgery,41903.0,No,70.48,2257.0,2.21,73491.0,0.68,58.06 +41781,Australia,2011,Measles,Parasitic,15.89,8.58,5.32,36-60,Male,23709,96.26,2.81,9.27,Surgery,40322.0,No,73.78,490.0,8.06,25340.0,0.8,50.99 +41786,Mexico,2019,Hepatitis,Infectious,7.2,1.1,2.87,0-18,Female,1191,81.76,3.0,7.3,Therapy,31080.0,No,61.7,4467.0,7.46,31471.0,0.68,87.01 +41787,Mexico,2022,Polio,Genetic,3.13,14.1,2.4,36-60,Male,813802,89.98,1.63,4.99,Medication,28418.0,Yes,87.85,3508.0,2.11,22834.0,0.51,63.17 +41791,Saudi Arabia,2021,Measles,Infectious,4.93,3.23,8.16,61+,Other,374865,95.98,1.59,8.9,Medication,5994.0,No,91.1,62.0,0.25,97306.0,0.76,50.14 +41794,Italy,2006,Cholera,Viral,10.35,9.28,9.54,19-35,Female,633438,99.29,0.73,6.87,Medication,14602.0,No,59.94,1389.0,4.52,81996.0,0.48,46.53 +41803,Russia,2010,Dengue,Autoimmune,11.47,5.49,1.77,19-35,Other,194496,80.68,4.59,5.19,Vaccination,13309.0,Yes,88.22,4337.0,3.22,84265.0,0.64,67.61 +41804,Mexico,2010,Asthma,Infectious,16.29,6.77,2.47,36-60,Female,777337,82.43,4.64,4.46,Surgery,19910.0,No,57.23,2982.0,3.33,64139.0,0.73,36.42 +41806,Italy,2023,Asthma,Metabolic,2.96,9.61,7.4,61+,Female,415558,51.29,2.76,3.68,Medication,2734.0,Yes,67.08,3397.0,6.65,86996.0,0.87,63.98 +41811,Australia,2009,Influenza,Infectious,6.54,5.55,5.77,19-35,Other,888530,64.62,2.65,2.59,Surgery,34406.0,Yes,69.24,2649.0,3.81,35128.0,0.72,73.04 +41813,Nigeria,2017,Tuberculosis,Parasitic,13.95,4.7,7.4,19-35,Male,934664,60.94,0.82,7.2,Therapy,32789.0,No,60.66,1995.0,7.5,81562.0,0.46,45.66 +41814,Argentina,2017,HIV/AIDS,Metabolic,8.23,7.72,2.71,61+,Female,569270,58.16,0.93,3.94,Surgery,3041.0,Yes,50.51,3756.0,1.19,27664.0,0.51,58.57 +41826,France,2021,HIV/AIDS,Chronic,14.91,14.62,7.0,0-18,Female,483024,63.43,3.59,5.87,Medication,42254.0,Yes,56.95,1366.0,2.53,38416.0,0.8,50.47 +41827,Saudi Arabia,2012,Zika,Infectious,0.11,0.49,2.27,36-60,Other,471368,64.09,4.64,1.81,Therapy,42938.0,Yes,54.3,966.0,4.14,97756.0,0.83,69.01 +41828,Turkey,2013,Cholera,Respiratory,12.55,10.58,4.75,19-35,Female,7192,63.08,3.9,3.34,Vaccination,36610.0,Yes,77.82,3302.0,1.26,86099.0,0.88,21.1 +41829,France,2013,Polio,Autoimmune,6.62,8.92,0.48,36-60,Male,134858,79.87,0.73,3.37,Therapy,8550.0,No,60.0,4942.0,3.12,56879.0,0.59,46.89 +41830,Indonesia,2007,Parkinson's Disease,Neurological,13.38,6.19,3.45,19-35,Other,152588,84.92,1.75,1.29,Surgery,29886.0,No,94.98,2541.0,7.12,41106.0,0.86,89.77 +41839,Germany,2006,Diabetes,Infectious,2.55,0.66,9.79,19-35,Other,445013,66.92,2.65,8.42,Medication,45865.0,Yes,65.34,3017.0,6.64,32280.0,0.54,88.83 +41847,Russia,2016,Influenza,Autoimmune,18.64,13.89,7.3,19-35,Other,731937,86.85,3.51,1.4,Vaccination,38425.0,No,93.68,3097.0,1.2,27613.0,0.83,28.39 +41855,Australia,2004,Ebola,Cardiovascular,7.41,14.95,9.85,36-60,Female,900517,63.22,4.85,4.64,Vaccination,39978.0,No,78.59,269.0,3.61,76910.0,0.82,54.91 +41861,China,2010,Measles,Respiratory,5.9,7.02,0.98,61+,Female,193829,99.21,3.94,3.93,Medication,7274.0,No,96.65,4159.0,7.63,32742.0,0.7,74.85 +41862,Turkey,2008,Zika,Respiratory,4.28,9.95,4.55,19-35,Female,470965,58.26,3.29,1.89,Vaccination,23760.0,Yes,66.2,33.0,9.82,33869.0,0.42,57.24 +41863,Russia,2005,Cancer,Bacterial,14.17,1.65,8.18,0-18,Other,539968,70.28,4.53,6.77,Therapy,47338.0,Yes,94.38,1097.0,6.54,43993.0,0.61,78.6 +41867,South Korea,2021,Cancer,Metabolic,17.78,11.76,8.81,0-18,Female,144665,92.61,4.55,9.5,Vaccination,6295.0,No,53.05,1814.0,5.56,98275.0,0.41,50.74 +41870,Canada,2020,Influenza,Neurological,11.82,14.78,0.94,19-35,Other,554031,96.25,3.96,9.63,Surgery,4624.0,No,64.76,2559.0,3.54,46859.0,0.51,63.61 +41871,Germany,2019,HIV/AIDS,Parasitic,13.12,12.34,5.66,61+,Female,704623,68.21,2.44,8.78,Vaccination,8845.0,No,62.53,792.0,3.65,40434.0,0.69,42.78 +41880,Mexico,2004,Asthma,Chronic,15.88,6.12,3.91,61+,Other,719999,82.58,3.19,9.37,Therapy,44553.0,No,50.08,1000.0,9.09,6746.0,0.81,55.63 +41883,Russia,2011,Tuberculosis,Infectious,16.88,1.09,8.91,36-60,Other,464761,75.39,0.53,9.72,Vaccination,4870.0,Yes,98.4,4295.0,6.75,89242.0,0.84,85.81 +41886,Russia,2007,Asthma,Cardiovascular,10.8,5.18,7.11,36-60,Male,98599,52.29,3.17,3.51,Vaccination,15037.0,Yes,96.87,1442.0,1.58,73983.0,0.76,82.88 +41893,Japan,2015,Measles,Bacterial,12.82,14.84,1.12,0-18,Male,47680,90.13,3.55,1.26,Therapy,16852.0,Yes,69.0,4190.0,9.73,10434.0,0.53,62.23 +41896,Turkey,2006,Diabetes,Cardiovascular,1.55,12.49,0.62,36-60,Male,948453,86.71,1.37,1.8,Vaccination,7965.0,No,75.67,4627.0,0.36,47565.0,0.51,74.32 +41900,UK,2022,Influenza,Parasitic,16.82,0.56,8.54,61+,Female,807829,94.92,2.91,2.68,Therapy,36539.0,Yes,74.77,250.0,8.46,66864.0,0.5,66.02 +41908,India,2008,HIV/AIDS,Genetic,0.54,4.79,5.47,36-60,Female,880790,85.03,2.39,2.4,Surgery,25312.0,Yes,58.71,4724.0,2.97,48914.0,0.81,82.34 +41909,India,2021,HIV/AIDS,Respiratory,5.63,6.18,3.03,0-18,Other,203782,92.38,3.04,2.14,Vaccination,23410.0,No,51.33,3980.0,6.4,20607.0,0.82,39.88 +41925,China,2020,Hepatitis,Neurological,10.74,4.48,4.94,0-18,Male,881611,83.55,4.25,7.33,Vaccination,36159.0,No,50.91,4745.0,7.3,12438.0,0.83,69.22 +41935,USA,2007,Polio,Genetic,11.81,7.51,1.87,19-35,Other,426115,60.09,0.78,9.33,Medication,32228.0,Yes,67.45,3176.0,5.34,37076.0,0.88,47.27 +41936,South Korea,2017,Hypertension,Viral,11.15,11.73,9.45,19-35,Female,261402,98.85,3.6,3.78,Therapy,15723.0,No,77.15,4435.0,2.63,59257.0,0.69,68.78 +41943,Saudi Arabia,2014,Diabetes,Cardiovascular,14.44,2.65,9.4,36-60,Other,794904,95.91,3.34,2.64,Surgery,25768.0,No,83.95,3906.0,5.57,56505.0,0.46,62.86 +41946,Indonesia,2010,Influenza,Chronic,3.15,5.07,6.82,19-35,Male,909252,57.41,2.09,5.62,Vaccination,326.0,No,83.74,3606.0,8.56,13177.0,0.79,75.57 +41952,South Africa,2019,Tuberculosis,Parasitic,9.91,9.71,7.02,36-60,Other,531696,93.81,1.43,8.63,Therapy,543.0,Yes,60.66,3750.0,2.22,60968.0,0.51,58.77 +41958,Italy,2003,Ebola,Autoimmune,6.11,7.04,5.33,36-60,Male,180783,65.98,2.33,2.99,Surgery,29120.0,Yes,56.17,95.0,8.99,56271.0,0.49,71.93 +41967,France,2001,Measles,Infectious,4.65,9.15,9.82,0-18,Female,580145,60.53,1.66,4.02,Therapy,28563.0,No,82.51,1380.0,7.12,46644.0,0.64,73.65 +41968,Brazil,2002,Hepatitis,Infectious,13.9,11.1,7.22,0-18,Other,847608,53.07,2.48,6.81,Therapy,49612.0,No,51.94,1487.0,9.29,88841.0,0.69,60.27 +41973,Nigeria,2018,Influenza,Cardiovascular,11.94,7.51,7.43,19-35,Other,609634,97.96,1.45,3.3,Medication,43819.0,No,85.56,1771.0,5.23,28576.0,0.69,62.48 +41979,Turkey,2018,Tuberculosis,Chronic,4.64,0.67,1.33,61+,Other,565670,67.66,3.19,2.24,Surgery,17943.0,Yes,52.47,320.0,5.78,52753.0,0.78,63.41 +41980,Brazil,2014,Cholera,Autoimmune,9.79,1.54,6.89,36-60,Male,544048,86.68,1.54,5.82,Medication,21403.0,No,85.02,2652.0,2.42,4321.0,0.85,22.19 +42007,Saudi Arabia,2021,Zika,Parasitic,16.21,5.59,3.37,61+,Female,887518,60.95,3.06,2.77,Vaccination,21506.0,Yes,80.19,284.0,5.28,19461.0,0.82,23.18 +42013,USA,2014,Malaria,Parasitic,3.22,5.35,0.65,0-18,Other,368522,75.7,2.69,7.19,Vaccination,18581.0,Yes,90.62,1653.0,2.76,21972.0,0.41,47.44 +42016,Turkey,2008,Ebola,Metabolic,0.75,11.49,6.79,0-18,Other,638035,68.36,4.73,5.79,Surgery,32490.0,Yes,81.4,2726.0,4.23,25591.0,0.62,74.58 +42030,India,2022,Hypertension,Respiratory,8.99,5.69,7.8,0-18,Female,594698,99.26,1.05,8.59,Vaccination,9768.0,Yes,82.89,959.0,4.45,9284.0,0.75,24.12 +42036,Italy,2013,Measles,Neurological,12.04,2.46,3.8,19-35,Other,307892,81.52,1.05,2.45,Medication,28680.0,Yes,72.05,244.0,8.0,81336.0,0.5,65.21 +42037,South Korea,2024,Malaria,Genetic,8.25,7.97,0.89,61+,Female,584526,85.32,1.87,5.23,Vaccination,7715.0,No,57.89,4492.0,6.87,72768.0,0.6,66.81 +42038,Turkey,2014,Measles,Genetic,19.25,7.12,2.14,0-18,Other,15409,92.99,1.22,4.85,Therapy,13243.0,Yes,64.11,2326.0,4.96,96997.0,0.47,41.18 +42050,USA,2014,Alzheimer's Disease,Parasitic,7.86,1.1,1.19,36-60,Male,354197,77.93,4.61,9.16,Surgery,24722.0,No,88.85,3878.0,2.63,48938.0,0.82,22.84 +42054,UK,2017,Hepatitis,Infectious,0.72,10.3,8.28,36-60,Other,137041,68.2,3.58,4.19,Therapy,36029.0,Yes,65.27,1932.0,3.16,69702.0,0.65,82.89 +42059,Nigeria,2004,Hepatitis,Cardiovascular,9.81,7.5,7.25,19-35,Male,745696,71.67,0.63,7.57,Surgery,23748.0,Yes,88.23,1077.0,5.82,91677.0,0.45,28.44 +42064,Germany,2020,Tuberculosis,Infectious,12.9,1.52,9.16,19-35,Female,912573,79.62,2.49,3.09,Medication,229.0,Yes,90.0,3560.0,0.14,69081.0,0.8,66.33 +42065,France,2008,COVID-19,Respiratory,8.18,1.65,7.47,19-35,Female,310203,88.35,4.0,1.24,Vaccination,28179.0,Yes,82.03,1171.0,1.61,6308.0,0.74,20.94 +42070,UK,2006,Leprosy,Infectious,6.58,14.0,8.87,36-60,Male,797941,80.66,3.59,2.68,Vaccination,2666.0,No,82.83,947.0,9.73,55052.0,0.83,84.9 +42072,Indonesia,2014,Ebola,Autoimmune,5.33,1.45,2.02,19-35,Other,118925,52.7,0.92,8.31,Medication,33988.0,Yes,67.2,2412.0,4.34,65628.0,0.62,65.85 +42077,India,2024,Diabetes,Infectious,3.93,10.66,0.66,0-18,Other,661602,87.65,1.28,5.1,Medication,18899.0,No,88.89,4687.0,9.85,28459.0,0.65,65.01 +42080,Brazil,2002,Ebola,Chronic,17.32,0.92,0.36,0-18,Female,692901,82.59,0.52,5.48,Therapy,5691.0,No,93.05,1706.0,0.1,16302.0,0.68,23.65 +42084,Brazil,2000,Asthma,Parasitic,17.85,0.71,7.01,0-18,Other,521995,83.3,2.02,6.77,Surgery,20224.0,Yes,95.17,551.0,7.27,49986.0,0.77,31.77 +42085,India,2006,Cancer,Genetic,19.63,2.85,8.34,19-35,Female,258735,92.98,3.4,9.87,Surgery,18034.0,Yes,74.31,749.0,7.21,61316.0,0.44,45.39 +42093,Turkey,2013,Influenza,Metabolic,10.86,8.0,8.03,36-60,Female,777848,55.49,1.29,3.41,Vaccination,48336.0,Yes,68.22,276.0,8.17,61277.0,0.69,20.74 +42095,Japan,2015,Rabies,Infectious,9.88,1.95,7.94,61+,Other,898254,80.67,1.35,6.07,Vaccination,14029.0,No,72.54,3580.0,7.39,39931.0,0.75,77.49 +42100,USA,2009,Tuberculosis,Neurological,13.11,13.83,4.19,61+,Female,765050,74.4,3.22,5.02,Vaccination,10525.0,Yes,54.9,4875.0,2.83,38964.0,0.76,59.63 +42107,South Africa,2013,Parkinson's Disease,Metabolic,16.32,6.62,1.0,19-35,Female,361191,96.81,3.15,1.92,Vaccination,40028.0,No,55.27,2794.0,9.17,60339.0,0.67,83.38 +42110,Saudi Arabia,2021,Parkinson's Disease,Autoimmune,12.58,3.72,3.73,61+,Male,94055,69.25,2.77,5.14,Surgery,32547.0,Yes,55.47,4558.0,1.77,56227.0,0.63,83.81 +42116,USA,2013,Polio,Parasitic,2.67,7.36,8.6,61+,Other,14723,68.69,3.04,4.16,Therapy,37056.0,Yes,70.1,1567.0,6.0,31970.0,0.41,35.59 +42119,Russia,2012,Polio,Respiratory,13.6,3.25,3.48,19-35,Female,812034,79.93,4.15,0.79,Surgery,45869.0,Yes,51.28,739.0,4.47,52240.0,0.76,59.75 +42123,India,2018,Tuberculosis,Metabolic,13.12,8.06,9.21,61+,Female,281197,59.42,2.56,6.77,Medication,4605.0,Yes,81.59,4965.0,4.68,85909.0,0.51,31.23 +42127,Canada,2016,Hepatitis,Cardiovascular,11.87,14.96,3.85,61+,Female,528861,79.57,3.81,1.26,Medication,6671.0,No,93.91,4330.0,3.43,42882.0,0.55,62.2 +42136,UK,2004,Hypertension,Metabolic,0.57,10.11,2.63,36-60,Female,231106,90.65,2.61,5.64,Surgery,37532.0,No,62.17,3520.0,8.18,43534.0,0.84,64.91 +42143,Japan,2000,Polio,Respiratory,18.21,8.74,6.28,61+,Female,35381,74.02,0.71,6.6,Therapy,11143.0,Yes,78.14,1256.0,6.79,33636.0,0.85,83.95 +42145,Saudi Arabia,2018,Ebola,Autoimmune,15.42,2.51,6.43,36-60,Male,230454,57.65,3.91,0.69,Vaccination,8084.0,No,95.46,3444.0,6.04,48290.0,0.67,54.44 +42146,India,2013,Cancer,Neurological,5.4,14.25,8.22,36-60,Male,7962,94.18,2.81,5.15,Medication,20792.0,Yes,64.51,47.0,1.36,60910.0,0.61,39.67 +42149,Saudi Arabia,2017,Cancer,Chronic,14.04,5.72,9.29,0-18,Female,75943,79.68,0.54,3.4,Medication,30170.0,No,95.17,1321.0,5.42,61623.0,0.43,24.38 +42151,France,2004,Leprosy,Respiratory,2.91,4.57,4.91,36-60,Female,822552,82.69,4.33,9.55,Medication,27903.0,Yes,83.12,191.0,1.39,65042.0,0.65,64.83 +42154,France,2009,Influenza,Chronic,3.99,12.03,0.52,61+,Female,765295,64.69,4.36,3.61,Surgery,22358.0,No,78.62,755.0,8.22,75100.0,0.48,38.62 +42162,Nigeria,2021,COVID-19,Chronic,14.49,1.14,8.59,61+,Female,706623,72.07,0.94,7.2,Vaccination,28701.0,No,63.45,897.0,6.5,84635.0,0.42,62.42 +42163,Canada,2023,Zika,Cardiovascular,8.81,12.21,2.17,19-35,Other,496227,80.85,2.35,0.54,Therapy,24986.0,No,69.73,3341.0,3.63,27385.0,0.88,37.88 +42171,Australia,2002,Influenza,Cardiovascular,14.51,11.46,2.0,19-35,Other,790571,99.53,4.14,5.18,Medication,34333.0,Yes,96.26,1572.0,6.15,77521.0,0.82,30.97 +42175,Russia,2013,Hypertension,Cardiovascular,5.99,5.85,0.48,0-18,Other,635033,94.45,2.85,4.74,Therapy,12646.0,No,74.55,1310.0,2.76,3887.0,0.84,64.34 +42181,Saudi Arabia,2005,Measles,Bacterial,8.73,2.13,4.05,0-18,Male,500293,68.02,0.72,9.99,Therapy,21561.0,Yes,63.18,2629.0,8.22,40170.0,0.74,54.0 +42184,Russia,2008,Influenza,Bacterial,8.53,6.16,6.36,36-60,Other,77671,92.18,2.94,6.92,Therapy,11557.0,No,61.69,2.0,8.25,91070.0,0.56,41.09 +42188,Australia,2002,Ebola,Infectious,13.44,10.51,1.77,19-35,Female,642748,97.17,3.67,8.11,Vaccination,21289.0,No,83.95,808.0,1.85,15974.0,0.9,28.6 +42190,Brazil,2018,COVID-19,Bacterial,0.71,9.1,1.58,61+,Male,517793,90.76,0.68,7.93,Surgery,13876.0,Yes,76.99,3188.0,3.63,87957.0,0.46,76.64 +42192,Indonesia,2000,Cancer,Neurological,0.61,14.23,2.31,61+,Male,646089,80.23,1.72,5.53,Therapy,48425.0,No,87.6,317.0,6.06,99758.0,0.46,89.51 +42195,Germany,2009,Diabetes,Chronic,2.81,5.77,2.0,0-18,Male,577001,94.85,1.2,1.45,Vaccination,16679.0,Yes,87.29,4130.0,9.12,31565.0,0.65,27.22 +42197,Australia,2020,Polio,Infectious,13.42,8.89,3.79,61+,Male,237406,81.64,4.18,3.22,Therapy,37303.0,Yes,96.41,4980.0,0.26,69826.0,0.71,25.89 +42200,Mexico,2017,Parkinson's Disease,Parasitic,14.76,2.74,1.4,0-18,Other,564806,51.61,4.41,8.78,Medication,23416.0,No,65.14,25.0,7.75,12969.0,0.64,82.02 +42209,Italy,2021,Leprosy,Cardiovascular,8.09,7.36,3.04,0-18,Male,210721,94.51,2.09,5.22,Medication,43765.0,No,82.21,2723.0,0.57,2032.0,0.45,24.9 +42210,South Korea,2017,Leprosy,Respiratory,6.69,12.08,2.85,61+,Male,567766,50.36,3.88,4.19,Medication,24636.0,No,90.14,2920.0,0.02,80833.0,0.73,23.42 +42215,France,2009,Influenza,Metabolic,10.35,12.49,8.97,36-60,Male,745894,84.24,1.12,2.1,Medication,13907.0,Yes,61.1,3067.0,7.62,12389.0,0.42,53.35 +42219,UK,2021,Cholera,Viral,15.37,12.61,5.08,19-35,Male,356020,63.96,4.83,0.85,Surgery,22396.0,Yes,94.86,1488.0,1.84,72736.0,0.81,61.38 +42221,Germany,2005,Alzheimer's Disease,Cardiovascular,13.36,12.4,6.52,0-18,Male,868981,99.57,1.14,3.31,Surgery,10030.0,Yes,88.04,808.0,6.02,21996.0,0.45,44.49 +42226,Japan,2021,Cancer,Cardiovascular,14.53,8.5,0.83,61+,Other,216130,52.19,4.0,4.96,Medication,35987.0,No,54.32,2451.0,7.12,55086.0,0.61,70.94 +42227,Germany,2013,Parkinson's Disease,Respiratory,18.34,2.35,7.25,36-60,Female,87531,61.2,4.61,3.48,Vaccination,22322.0,Yes,72.45,4683.0,2.94,82828.0,0.56,50.29 +42230,Indonesia,2012,Hepatitis,Parasitic,2.8,8.37,5.47,19-35,Female,4105,82.7,1.25,9.99,Surgery,26710.0,No,69.98,1234.0,6.57,13248.0,0.88,85.88 +42232,Canada,2002,Parkinson's Disease,Respiratory,0.4,8.77,2.22,36-60,Other,986326,89.03,1.34,8.35,Medication,1996.0,No,84.91,4033.0,5.49,59930.0,0.63,67.97 +42235,UK,2005,Cholera,Respiratory,4.69,4.2,8.1,19-35,Male,264344,71.54,3.02,4.62,Therapy,11090.0,No,88.22,2258.0,5.64,23764.0,0.79,75.16 +42239,Brazil,2021,Alzheimer's Disease,Cardiovascular,1.95,3.22,6.3,0-18,Male,956323,67.1,3.97,5.11,Therapy,43639.0,Yes,92.44,1635.0,6.28,95771.0,0.74,59.57 +42240,China,2023,Hypertension,Chronic,12.9,10.1,3.56,36-60,Female,909625,68.6,0.95,0.96,Therapy,29652.0,No,94.67,955.0,9.43,70171.0,0.66,60.22 +42243,USA,2010,Leprosy,Metabolic,7.93,3.99,8.52,36-60,Female,12881,81.32,2.38,4.8,Medication,9958.0,Yes,88.06,2775.0,1.0,95412.0,0.69,55.74 +42244,China,2009,Cancer,Chronic,3.63,14.83,3.56,61+,Male,290300,51.21,2.41,4.26,Surgery,11248.0,Yes,97.03,4869.0,5.62,11823.0,0.61,21.98 +42251,Turkey,2018,Polio,Metabolic,5.8,3.81,8.94,36-60,Male,137142,59.58,3.77,1.08,Therapy,4637.0,No,86.07,2936.0,5.54,66311.0,0.42,55.63 +42252,Brazil,2020,Rabies,Infectious,7.15,3.35,2.46,36-60,Female,403777,78.4,0.92,1.93,Vaccination,25137.0,Yes,61.34,481.0,0.51,8835.0,0.58,29.24 +42256,France,2006,Alzheimer's Disease,Neurological,16.69,9.58,0.18,61+,Female,72438,51.61,2.12,3.91,Therapy,37692.0,Yes,65.63,981.0,0.62,19687.0,0.89,33.32 +42258,South Korea,2017,Leprosy,Chronic,2.27,1.56,2.45,61+,Other,462380,61.24,3.3,8.53,Surgery,36570.0,Yes,73.29,2825.0,6.46,97753.0,0.71,72.68 +42260,Brazil,2002,Dengue,Cardiovascular,0.49,5.65,2.82,36-60,Male,726532,85.63,1.84,1.57,Medication,5021.0,No,76.83,3599.0,1.08,37844.0,0.86,44.69 +42263,Germany,2022,Hypertension,Neurological,4.93,10.05,9.96,0-18,Male,762329,96.94,4.07,3.96,Medication,4815.0,Yes,67.16,4286.0,8.14,57541.0,0.56,71.03 +42270,China,2005,Cholera,Genetic,15.58,8.53,2.49,19-35,Female,685704,93.29,3.83,3.21,Surgery,18984.0,Yes,74.68,1463.0,5.43,35985.0,0.68,48.7 +42291,UK,2000,Malaria,Metabolic,19.77,11.93,0.73,61+,Male,976052,66.95,4.58,4.82,Medication,18598.0,No,88.3,3435.0,2.14,90197.0,0.53,87.91 +42292,South Korea,2011,Hepatitis,Cardiovascular,13.91,13.26,6.06,36-60,Other,763245,87.76,3.09,4.77,Medication,20558.0,No,54.61,4097.0,9.09,12535.0,0.55,22.79 +42302,Australia,2021,Dengue,Parasitic,10.03,2.88,4.96,0-18,Female,249231,64.55,4.86,5.28,Surgery,992.0,No,84.66,1854.0,3.44,42157.0,0.7,77.33 +42316,Saudi Arabia,2021,HIV/AIDS,Respiratory,15.34,8.12,6.72,0-18,Female,361641,90.97,2.14,5.86,Vaccination,13597.0,No,53.01,3078.0,4.9,75130.0,0.89,51.6 +42317,South Korea,2012,Rabies,Genetic,1.52,7.09,0.48,0-18,Other,461022,92.17,1.19,3.94,Medication,37904.0,No,69.58,990.0,2.55,69476.0,0.59,21.08 +42318,Turkey,2011,Measles,Chronic,14.83,3.55,8.53,0-18,Female,98255,99.37,1.26,6.59,Therapy,3722.0,No,50.99,900.0,8.71,48131.0,0.75,88.73 +42321,South Africa,2014,Dengue,Chronic,11.62,14.01,5.95,0-18,Male,485503,63.33,0.61,7.53,Surgery,22398.0,No,62.77,201.0,3.21,61146.0,0.89,35.17 +42328,Indonesia,2021,Ebola,Bacterial,13.71,1.75,0.44,19-35,Female,459871,97.26,2.78,8.52,Medication,8965.0,No,95.63,2433.0,5.33,54760.0,0.53,21.51 +42334,South Korea,2010,Hypertension,Genetic,0.38,3.87,2.2,19-35,Other,944093,63.38,3.28,4.6,Therapy,5085.0,Yes,86.26,258.0,1.64,4532.0,0.52,28.28 +42338,Nigeria,2013,Ebola,Parasitic,5.7,5.36,7.91,0-18,Other,416079,69.32,1.34,7.55,Vaccination,41588.0,Yes,94.88,4478.0,0.68,24004.0,0.5,21.84 +42342,Mexico,2005,Cancer,Respiratory,7.68,6.21,8.86,61+,Female,13848,95.51,3.62,5.19,Surgery,34436.0,No,65.42,4835.0,2.22,38970.0,0.82,30.47 +42346,India,2008,Dengue,Genetic,1.41,13.76,0.2,19-35,Male,900638,76.69,2.65,9.35,Vaccination,4531.0,Yes,86.99,4902.0,9.39,13008.0,0.68,50.82 +42347,Russia,2005,Rabies,Viral,7.47,4.46,6.6,61+,Male,105188,96.79,4.59,3.62,Vaccination,33765.0,Yes,65.7,2466.0,0.36,70648.0,0.69,54.11 +42356,Saudi Arabia,2006,Hepatitis,Viral,7.69,5.31,8.86,0-18,Male,834260,86.67,1.64,7.74,Therapy,5850.0,Yes,97.8,4675.0,1.52,82433.0,0.41,66.73 +42358,Canada,2008,Alzheimer's Disease,Viral,9.47,9.49,3.36,19-35,Female,392926,67.25,3.62,7.26,Surgery,7516.0,No,58.0,4987.0,6.61,72550.0,0.66,71.07 +42360,Canada,2020,Malaria,Bacterial,3.67,8.75,4.1,19-35,Other,112772,82.77,0.67,4.66,Surgery,49788.0,Yes,89.68,795.0,2.97,95049.0,0.73,87.05 +42364,USA,2023,Diabetes,Chronic,16.66,1.36,3.76,36-60,Other,928636,89.41,2.7,6.81,Vaccination,46393.0,Yes,74.31,2957.0,0.84,74224.0,0.64,49.84 +42365,Turkey,2022,Influenza,Genetic,11.48,14.56,7.48,36-60,Other,936414,67.78,4.98,6.26,Therapy,29576.0,Yes,74.72,3033.0,8.59,51575.0,0.69,73.33 +42370,Turkey,2007,Malaria,Viral,8.29,6.6,6.09,19-35,Male,271322,96.66,3.0,7.28,Medication,1963.0,Yes,82.38,4409.0,2.06,3338.0,0.44,44.14 +42371,Australia,2024,Measles,Bacterial,13.58,13.9,0.4,36-60,Male,33483,86.44,1.76,3.91,Medication,40743.0,No,73.23,3713.0,8.65,42320.0,0.89,27.45 +42375,Argentina,2010,Tuberculosis,Autoimmune,6.68,5.34,3.93,61+,Other,769063,64.84,4.2,0.81,Therapy,22466.0,Yes,73.33,4467.0,8.26,56950.0,0.84,82.2 +42379,Brazil,2021,Diabetes,Respiratory,11.43,0.1,4.41,19-35,Other,570661,51.75,3.22,6.07,Medication,19001.0,No,56.14,4527.0,8.98,38311.0,0.77,69.15 +42385,Japan,2001,Hepatitis,Viral,0.78,13.42,6.15,61+,Male,280981,98.29,4.75,1.44,Therapy,35769.0,Yes,58.47,3625.0,7.7,35413.0,0.88,34.69 +42386,Mexico,2015,Ebola,Viral,19.08,11.94,6.58,0-18,Female,935828,79.46,2.6,9.56,Therapy,29978.0,Yes,86.81,1056.0,3.37,72497.0,0.7,28.58 +42390,Australia,2008,Malaria,Cardiovascular,14.31,1.76,2.73,19-35,Male,430849,97.32,2.82,2.18,Therapy,5182.0,No,77.13,3785.0,7.44,39574.0,0.67,31.55 +42391,UK,2024,Tuberculosis,Cardiovascular,5.16,13.54,9.58,36-60,Female,210781,76.52,1.48,9.46,Therapy,24828.0,Yes,97.66,2653.0,3.65,93815.0,0.44,49.74 +42396,UK,2019,Rabies,Cardiovascular,14.13,2.48,2.51,36-60,Male,676362,76.48,2.82,6.86,Medication,23314.0,Yes,98.21,1057.0,3.41,32110.0,0.66,53.69 +42409,Saudi Arabia,2015,Alzheimer's Disease,Cardiovascular,8.13,4.45,2.42,0-18,Female,909303,97.71,3.18,5.14,Therapy,47506.0,No,68.84,3990.0,3.57,3329.0,0.74,35.06 +42416,Italy,2000,Measles,Metabolic,19.05,12.54,7.29,19-35,Other,578258,95.81,4.51,5.01,Surgery,34002.0,No,66.95,2932.0,2.67,26837.0,0.72,86.69 +42418,China,2017,Hepatitis,Parasitic,18.12,12.49,2.32,19-35,Female,336055,77.57,2.84,9.62,Therapy,15044.0,Yes,86.76,649.0,4.38,67150.0,0.66,46.49 +42420,Canada,2007,COVID-19,Metabolic,5.36,6.18,7.93,0-18,Female,818446,62.69,1.07,5.75,Vaccination,47102.0,No,73.15,563.0,8.23,26608.0,0.61,59.35 +42421,Russia,2022,Ebola,Infectious,6.16,14.64,6.7,19-35,Female,121909,79.36,4.45,6.0,Vaccination,13240.0,No,92.56,3409.0,6.33,43689.0,0.45,75.79 +42422,Australia,2010,Hepatitis,Genetic,7.08,3.57,2.74,36-60,Female,819665,70.6,1.89,8.98,Vaccination,29364.0,Yes,92.9,595.0,3.29,33786.0,0.54,89.22 +42434,France,2004,COVID-19,Chronic,4.01,5.89,8.57,0-18,Male,619533,53.97,4.66,4.74,Therapy,28825.0,No,54.48,1534.0,3.56,95085.0,0.6,28.35 +42435,Saudi Arabia,2022,COVID-19,Respiratory,16.29,13.91,3.72,36-60,Other,569608,75.39,2.25,3.63,Surgery,45659.0,Yes,94.54,3435.0,1.98,81948.0,0.5,49.88 +42436,Turkey,2000,Cholera,Respiratory,7.68,8.26,6.97,0-18,Other,944573,57.75,1.69,9.87,Medication,42155.0,No,90.2,162.0,2.41,77846.0,0.63,29.74 +42441,Russia,2009,Influenza,Respiratory,3.15,5.79,4.73,36-60,Male,331325,59.86,4.88,3.65,Medication,46547.0,No,91.28,4428.0,3.46,16946.0,0.47,40.85 +42442,UK,2007,Alzheimer's Disease,Neurological,11.71,3.98,6.41,36-60,Male,648322,69.13,4.19,9.91,Therapy,5981.0,Yes,78.62,4464.0,5.72,89362.0,0.7,22.31 +42443,Canada,2011,Influenza,Respiratory,7.79,12.05,0.8,19-35,Female,55507,99.72,1.65,5.42,Therapy,39891.0,Yes,78.27,3826.0,4.07,9255.0,0.65,87.45 +42448,Nigeria,2011,HIV/AIDS,Viral,10.48,8.6,5.36,36-60,Female,206116,89.22,2.16,2.85,Medication,10343.0,No,84.06,3805.0,1.37,91513.0,0.87,79.96 +42452,South Africa,2019,COVID-19,Parasitic,2.77,10.33,9.69,61+,Female,569559,85.78,3.06,6.04,Medication,7911.0,No,52.25,4314.0,9.23,94237.0,0.74,64.96 +42460,Japan,2007,Hepatitis,Bacterial,15.73,1.86,8.75,61+,Female,574812,52.78,1.04,4.98,Vaccination,45011.0,Yes,92.5,4947.0,1.13,59049.0,0.86,74.4 +42475,Mexico,2020,HIV/AIDS,Viral,15.28,0.9,5.97,36-60,Male,482177,78.5,3.1,2.17,Medication,31803.0,Yes,54.32,3169.0,8.44,76734.0,0.46,87.86 +42477,Saudi Arabia,2012,Cancer,Neurological,10.99,9.92,6.85,61+,Other,410919,86.81,0.53,4.22,Surgery,49780.0,No,94.53,91.0,1.23,53096.0,0.84,62.87 +42494,Russia,2001,Polio,Neurological,11.51,10.98,3.2,19-35,Other,937790,52.19,2.43,7.04,Therapy,34705.0,Yes,96.71,2736.0,8.92,59660.0,0.69,83.87 +42496,Mexico,2008,Zika,Autoimmune,7.66,13.69,3.04,0-18,Male,150091,95.9,2.27,9.82,Medication,38478.0,No,92.33,4535.0,2.08,39517.0,0.82,73.21 +42499,South Korea,2012,Parkinson's Disease,Bacterial,13.03,0.56,7.78,19-35,Female,231036,50.98,4.62,6.4,Medication,3273.0,No,75.95,4260.0,8.93,1559.0,0.86,58.75 +42502,Brazil,2015,COVID-19,Autoimmune,11.41,1.77,7.41,19-35,Female,285615,56.68,4.97,3.18,Medication,29541.0,Yes,68.25,3153.0,6.64,13194.0,0.48,76.63 +42506,Argentina,2023,Polio,Infectious,18.86,12.8,8.6,19-35,Male,369067,71.72,0.6,6.65,Therapy,28841.0,No,82.34,3677.0,3.85,94079.0,0.63,32.19 +42511,Russia,2019,Malaria,Viral,10.26,8.43,3.86,61+,Female,815444,60.13,3.62,3.91,Vaccination,32247.0,Yes,66.62,4175.0,1.92,3160.0,0.82,28.97 +42516,Australia,2016,Cholera,Viral,16.73,2.14,4.67,36-60,Male,321104,81.67,3.76,4.55,Therapy,31657.0,No,53.5,4568.0,2.75,95986.0,0.6,80.89 +42519,Brazil,2024,Malaria,Viral,1.4,4.82,0.32,61+,Other,692861,62.23,0.59,3.33,Surgery,7165.0,Yes,80.47,3985.0,2.77,88359.0,0.4,40.5 +42520,Germany,2017,HIV/AIDS,Chronic,6.94,7.68,6.83,61+,Other,700079,81.73,2.49,2.26,Vaccination,4039.0,No,97.72,1952.0,7.49,65567.0,0.64,77.75 +42522,Russia,2017,Hepatitis,Viral,8.12,14.13,5.84,61+,Other,941488,72.55,1.19,1.72,Medication,47393.0,No,88.0,1636.0,5.22,17297.0,0.85,61.94 +42527,Argentina,2013,Parkinson's Disease,Parasitic,3.59,2.31,8.1,19-35,Male,779851,64.46,2.35,8.11,Surgery,46129.0,Yes,64.91,909.0,3.55,54417.0,0.86,74.29 +42528,Australia,2015,Influenza,Autoimmune,14.19,7.86,8.04,0-18,Male,92031,57.95,1.44,9.49,Vaccination,2524.0,Yes,60.81,1771.0,6.95,75404.0,0.66,61.96 +42540,Japan,2013,Tuberculosis,Chronic,17.61,1.23,2.62,36-60,Other,58280,90.86,1.88,5.47,Surgery,49640.0,No,86.7,87.0,3.46,7608.0,0.55,83.49 +42542,Russia,2007,Polio,Parasitic,5.82,6.35,2.46,0-18,Male,437257,61.6,2.09,2.7,Vaccination,11236.0,No,91.15,3071.0,8.06,61657.0,0.82,79.17 +42543,Argentina,2013,Hepatitis,Bacterial,7.76,10.74,7.75,36-60,Male,392505,50.86,1.44,9.17,Therapy,17777.0,No,71.02,68.0,2.85,14866.0,0.86,86.82 +42546,UK,2017,Zika,Parasitic,18.91,9.04,7.96,36-60,Male,389891,72.43,2.32,5.04,Medication,26135.0,No,79.0,382.0,5.03,77994.0,0.55,41.88 +42559,South Africa,2003,Zika,Chronic,4.61,4.45,4.95,36-60,Male,337341,95.73,3.43,6.69,Medication,9416.0,No,59.15,3654.0,8.68,1069.0,0.49,48.77 +42560,UK,2002,Measles,Viral,4.77,5.12,8.47,36-60,Female,480588,95.55,1.33,6.37,Surgery,28483.0,No,53.04,377.0,3.89,38141.0,0.67,80.94 +42562,Nigeria,2019,HIV/AIDS,Viral,4.25,6.63,4.66,36-60,Male,846038,97.88,3.09,1.76,Therapy,36004.0,Yes,92.68,1195.0,8.7,79567.0,0.83,32.29 +42566,Argentina,2023,Rabies,Bacterial,4.5,12.51,8.63,19-35,Other,190651,87.03,4.87,9.84,Vaccination,24228.0,No,84.79,2912.0,2.58,42897.0,0.48,62.62 +42568,Russia,2014,Polio,Neurological,7.48,11.04,0.96,19-35,Male,798991,92.33,2.88,5.24,Therapy,24606.0,Yes,83.41,815.0,0.71,45043.0,0.75,21.43 +42570,Canada,2004,HIV/AIDS,Neurological,0.77,4.73,2.54,0-18,Other,107294,74.61,4.01,9.41,Vaccination,41609.0,No,57.39,3910.0,4.65,79673.0,0.78,71.96 +42572,Argentina,2015,Alzheimer's Disease,Cardiovascular,7.56,6.51,6.26,0-18,Female,662504,80.75,2.81,1.13,Surgery,43969.0,No,90.16,2587.0,1.84,77510.0,0.54,56.42 +42573,Indonesia,2012,Dengue,Genetic,5.6,12.2,5.5,61+,Female,756392,97.13,1.23,6.17,Vaccination,46689.0,Yes,50.41,1807.0,9.06,55929.0,0.79,46.15 +42576,South Africa,2020,Diabetes,Cardiovascular,14.63,11.44,8.23,19-35,Female,843803,71.45,0.53,0.83,Surgery,48513.0,No,50.4,3969.0,3.18,66625.0,0.54,62.48 +42577,Japan,2002,Asthma,Neurological,18.93,10.71,1.32,19-35,Male,204160,71.58,4.55,9.86,Medication,29824.0,Yes,57.19,3192.0,4.99,63117.0,0.77,89.03 +42579,Italy,2009,Cancer,Infectious,14.39,8.98,2.61,0-18,Other,549222,71.27,1.0,7.55,Vaccination,44256.0,No,90.54,3033.0,7.27,85043.0,0.42,61.93 +42586,France,2014,Cholera,Parasitic,9.68,12.59,7.34,61+,Other,681284,81.06,1.17,8.6,Therapy,26134.0,Yes,56.47,3137.0,3.73,12533.0,0.65,76.02 +42593,Germany,2006,Polio,Viral,2.98,1.98,1.57,0-18,Other,970733,82.44,4.61,3.59,Medication,18596.0,Yes,97.26,2544.0,1.63,12174.0,0.54,56.86 +42598,Australia,2024,Ebola,Viral,18.41,5.19,5.47,36-60,Male,652345,75.89,4.76,1.96,Therapy,24643.0,Yes,69.28,120.0,9.45,31645.0,0.71,87.55 +42603,Brazil,2013,Influenza,Neurological,10.32,10.59,3.41,19-35,Female,782766,90.94,3.98,7.18,Medication,41061.0,No,96.86,3655.0,6.43,6806.0,0.74,63.1 +42619,Canada,2002,Leprosy,Respiratory,4.62,13.96,9.36,36-60,Other,672105,52.28,4.97,9.53,Vaccination,25386.0,Yes,65.84,241.0,4.06,23815.0,0.88,48.53 +42622,China,2018,Influenza,Viral,3.24,5.7,3.8,0-18,Female,458699,50.48,4.73,1.43,Therapy,49605.0,Yes,72.31,2060.0,5.77,55354.0,0.62,39.12 +42632,France,2003,Tuberculosis,Respiratory,0.29,13.4,9.8,0-18,Other,401097,90.39,2.41,1.06,Surgery,38168.0,Yes,77.21,4749.0,5.87,16849.0,0.65,39.32 +42635,France,2010,Cholera,Metabolic,8.89,7.41,7.96,36-60,Female,928283,82.77,3.9,8.48,Vaccination,21000.0,Yes,59.68,3751.0,4.14,96795.0,0.41,82.08 +42638,China,2017,Cholera,Autoimmune,13.66,11.44,3.8,36-60,Other,115420,67.71,4.6,4.47,Surgery,9387.0,Yes,75.46,3006.0,7.91,24448.0,0.62,32.92 +42640,Germany,2003,Hypertension,Neurological,10.33,1.21,5.99,61+,Female,543650,56.43,1.61,7.92,Therapy,23121.0,No,64.13,4098.0,0.5,583.0,0.81,25.64 +42653,India,2007,Cancer,Genetic,6.2,4.66,3.4,0-18,Female,836942,88.34,2.54,2.97,Medication,19997.0,Yes,95.04,3480.0,6.74,83882.0,0.66,61.38 +42654,Argentina,2021,Dengue,Bacterial,13.9,12.99,6.64,19-35,Male,381923,87.88,4.05,4.09,Medication,47007.0,Yes,95.56,2555.0,4.07,38160.0,0.71,80.31 +42657,Indonesia,2024,Cancer,Neurological,14.64,2.98,5.18,19-35,Male,290953,94.97,3.63,4.83,Medication,42560.0,No,81.93,3899.0,9.43,75701.0,0.82,75.5 +42663,Indonesia,2019,Leprosy,Bacterial,14.96,4.78,7.68,19-35,Male,305142,75.43,4.79,0.97,Vaccination,41867.0,Yes,74.99,644.0,2.69,57983.0,0.56,58.42 +42668,Saudi Arabia,2015,Parkinson's Disease,Genetic,11.21,4.74,4.57,19-35,Other,976028,96.3,2.06,3.76,Vaccination,4802.0,Yes,50.92,1975.0,6.11,39109.0,0.44,81.63 +42692,France,2007,Malaria,Viral,2.91,6.57,7.84,19-35,Female,426267,55.93,2.81,8.0,Therapy,17598.0,No,97.7,247.0,6.18,85994.0,0.73,73.15 +42694,Brazil,2020,Cholera,Metabolic,18.5,10.61,4.96,0-18,Female,705226,59.04,4.89,5.05,Surgery,25842.0,Yes,69.94,3504.0,2.71,71852.0,0.42,36.44 +42696,Turkey,2020,COVID-19,Genetic,12.91,0.91,7.9,61+,Female,966821,64.13,2.69,3.67,Surgery,32761.0,Yes,82.57,695.0,5.78,10531.0,0.52,79.15 +42697,Germany,2014,Dengue,Chronic,3.35,2.44,9.39,36-60,Male,900784,66.15,4.69,5.37,Surgery,44535.0,No,84.38,1347.0,0.06,11931.0,0.51,73.46 +42708,Australia,2010,Cholera,Neurological,16.08,10.94,8.04,0-18,Male,572008,68.38,0.87,7.61,Vaccination,1518.0,Yes,82.78,3169.0,4.49,78506.0,0.49,42.19 +42711,Italy,2024,Influenza,Genetic,5.88,6.35,9.16,61+,Other,402909,67.92,4.99,2.13,Therapy,36644.0,Yes,67.37,1641.0,3.12,83825.0,0.73,32.37 +42715,Germany,2020,Polio,Bacterial,16.29,14.3,6.68,0-18,Female,818576,52.64,4.39,9.19,Therapy,2191.0,Yes,66.25,2042.0,6.45,38988.0,0.46,85.43 +42716,Japan,2018,HIV/AIDS,Autoimmune,2.87,0.59,5.35,19-35,Other,378602,70.78,0.65,1.48,Therapy,30518.0,No,80.25,1303.0,7.97,99072.0,0.64,71.0 +42720,Canada,2012,Cholera,Parasitic,13.44,4.62,1.59,61+,Male,669000,52.9,2.85,2.11,Medication,2752.0,Yes,61.24,4532.0,8.01,51525.0,0.85,74.09 +42729,Indonesia,2011,Ebola,Genetic,8.21,4.99,7.72,36-60,Female,983811,91.96,1.07,4.96,Medication,49742.0,Yes,78.05,108.0,7.11,24311.0,0.65,68.01 +42732,South Korea,2017,Dengue,Respiratory,18.65,2.59,1.63,19-35,Female,86092,58.25,2.54,9.2,Therapy,31500.0,No,53.54,125.0,6.87,51713.0,0.71,79.83 +42734,Turkey,2000,Influenza,Respiratory,11.73,8.96,6.93,36-60,Female,577985,50.88,2.91,1.11,Vaccination,22282.0,No,78.79,3017.0,3.94,96231.0,0.51,83.09 +42739,South Africa,2020,Ebola,Bacterial,7.44,14.01,2.65,36-60,Male,638304,70.18,0.57,4.91,Therapy,3292.0,Yes,73.66,1352.0,2.69,18853.0,0.65,46.46 +42749,USA,2017,Asthma,Parasitic,14.17,9.0,9.17,0-18,Female,98959,63.84,1.95,8.2,Therapy,36069.0,Yes,66.76,1832.0,0.31,91379.0,0.67,20.88 +42751,Germany,2024,Influenza,Parasitic,19.08,1.27,0.49,36-60,Male,627853,97.61,2.72,1.3,Therapy,41696.0,No,72.18,4069.0,6.28,91121.0,0.78,31.15 +42757,Turkey,2004,Diabetes,Chronic,6.9,4.79,1.44,19-35,Other,916873,66.09,2.91,9.77,Vaccination,37179.0,No,78.87,2887.0,4.71,26719.0,0.6,30.8 +42770,Mexico,2017,HIV/AIDS,Infectious,17.55,7.08,8.94,36-60,Other,982224,71.8,2.4,6.91,Medication,44714.0,No,53.32,4569.0,0.31,9668.0,0.78,80.74 +42774,Italy,2007,Cancer,Chronic,6.66,11.84,8.25,19-35,Other,719509,61.98,2.65,6.51,Medication,47692.0,Yes,62.52,4643.0,9.35,62615.0,0.47,44.35 +42775,Germany,2020,Zika,Cardiovascular,11.06,9.43,3.38,36-60,Female,749041,85.01,1.22,6.61,Vaccination,29263.0,Yes,62.39,4864.0,5.9,34472.0,0.58,31.26 +42776,Argentina,2000,Polio,Parasitic,5.67,8.78,2.33,61+,Other,743271,68.58,2.26,1.83,Medication,3643.0,Yes,59.3,2153.0,8.75,27787.0,0.72,49.61 +42783,Brazil,2023,Parkinson's Disease,Cardiovascular,3.78,11.17,5.83,19-35,Other,125830,79.65,3.37,4.12,Therapy,2730.0,No,74.39,985.0,6.69,68411.0,0.54,38.28 +42785,Brazil,2015,Influenza,Chronic,17.32,4.56,7.98,61+,Other,252259,86.46,2.05,3.27,Vaccination,4777.0,No,63.13,4479.0,6.23,84341.0,0.66,34.89 +42789,Nigeria,2004,Hepatitis,Chronic,6.12,0.48,8.17,61+,Other,34614,80.2,2.11,1.53,Therapy,49417.0,No,90.4,4994.0,0.35,54639.0,0.8,21.84 +42794,Japan,2005,Measles,Respiratory,14.21,8.28,7.3,36-60,Other,826688,94.22,3.5,7.75,Vaccination,44728.0,No,74.08,410.0,1.24,35318.0,0.78,47.21 +42818,Mexico,2003,Asthma,Infectious,17.37,1.5,4.27,0-18,Female,494657,74.24,3.58,1.69,Medication,17989.0,Yes,59.48,4391.0,9.15,54411.0,0.78,43.73 +42826,USA,2007,Rabies,Cardiovascular,2.26,14.03,7.19,0-18,Male,790650,82.42,2.19,1.26,Therapy,24132.0,No,66.4,4120.0,4.75,98795.0,0.61,76.07 +42829,Saudi Arabia,2019,Cholera,Infectious,17.06,14.81,8.39,0-18,Male,907037,75.51,3.77,1.22,Therapy,10647.0,No,57.78,4830.0,6.75,84154.0,0.63,27.89 +42830,Australia,2007,Hepatitis,Parasitic,4.64,7.37,2.12,19-35,Female,261865,79.63,0.66,8.82,Medication,26068.0,Yes,63.22,4903.0,5.64,80898.0,0.87,45.22 +42836,Turkey,2008,Zika,Infectious,7.37,10.95,0.89,0-18,Other,670079,55.3,2.03,0.6,Therapy,13091.0,No,54.69,3409.0,5.32,49971.0,0.45,79.59 +42837,France,2024,Malaria,Parasitic,13.26,1.85,0.23,0-18,Other,836212,58.66,4.84,5.36,Medication,8966.0,No,82.6,4148.0,5.75,76701.0,0.74,63.28 +42839,USA,2012,Alzheimer's Disease,Autoimmune,14.62,8.9,3.49,61+,Female,264046,63.19,4.32,1.93,Therapy,21177.0,No,63.57,411.0,9.33,99485.0,0.69,58.99 +42848,UK,2018,Rabies,Infectious,14.96,3.1,3.58,0-18,Female,480242,93.14,3.27,7.17,Surgery,38185.0,Yes,89.38,1749.0,8.88,32279.0,0.57,85.15 +42851,Japan,2010,Ebola,Metabolic,0.41,3.15,0.55,0-18,Other,784699,70.53,4.79,0.59,Therapy,16898.0,No,86.04,4930.0,0.94,12735.0,0.84,76.83 +42853,Mexico,2001,Alzheimer's Disease,Parasitic,2.51,1.97,3.6,19-35,Other,732966,77.81,4.6,3.98,Vaccination,7964.0,No,51.42,399.0,4.11,94087.0,0.67,51.7 +42854,Turkey,2013,Asthma,Viral,15.49,4.52,1.72,36-60,Other,907451,94.65,2.41,7.11,Medication,672.0,Yes,60.42,38.0,1.76,24174.0,0.83,82.78 +42859,China,2019,Tuberculosis,Parasitic,9.14,9.16,4.83,19-35,Other,954737,82.4,1.69,7.15,Vaccination,24718.0,Yes,94.0,3257.0,9.41,8481.0,0.79,84.82 +42863,South Korea,2017,Polio,Respiratory,1.01,3.07,1.62,36-60,Male,812233,64.25,4.55,2.07,Surgery,12530.0,Yes,84.71,1690.0,0.23,32973.0,0.6,52.38 +42864,Russia,2020,Diabetes,Infectious,2.41,13.69,2.67,0-18,Other,335851,85.55,4.88,4.7,Surgery,33167.0,Yes,98.55,1795.0,2.75,86304.0,0.45,21.69 +42875,Russia,2013,Tuberculosis,Viral,16.14,2.7,0.2,19-35,Female,193592,79.26,1.44,2.14,Therapy,30625.0,No,94.81,20.0,2.91,8233.0,0.66,56.17 +42883,South Korea,2000,HIV/AIDS,Chronic,8.01,2.81,7.52,0-18,Male,677016,78.14,4.63,3.7,Therapy,22597.0,Yes,92.12,2431.0,6.58,74764.0,0.63,63.03 +42889,China,2017,Polio,Cardiovascular,15.17,7.17,0.93,19-35,Male,683923,50.31,3.46,3.58,Therapy,2913.0,Yes,70.98,2859.0,0.13,35202.0,0.8,83.43 +42891,Australia,2015,Hypertension,Autoimmune,15.02,11.96,0.75,0-18,Other,773596,97.55,1.15,9.86,Medication,25346.0,Yes,79.84,2957.0,1.94,12510.0,0.65,73.99 +42894,USA,2008,Parkinson's Disease,Autoimmune,7.03,2.07,7.54,36-60,Male,574531,93.1,1.14,3.2,Surgery,22220.0,No,80.45,4687.0,8.66,10098.0,0.76,70.49 +42903,South Korea,2024,Leprosy,Autoimmune,18.25,3.03,9.52,19-35,Male,630217,57.27,4.58,3.1,Surgery,26740.0,No,82.19,4072.0,8.01,70879.0,0.47,85.56 +42905,India,2009,Ebola,Metabolic,19.27,10.69,3.38,19-35,Female,566000,51.14,1.6,4.55,Surgery,30354.0,Yes,75.98,1014.0,4.45,74285.0,0.72,67.51 +42907,Argentina,2018,Hepatitis,Viral,19.64,4.7,6.73,19-35,Other,138522,68.47,2.0,1.59,Medication,37475.0,Yes,77.7,822.0,0.01,55640.0,0.82,31.18 +42910,Russia,2021,Asthma,Viral,11.31,5.67,5.3,0-18,Female,451341,64.73,3.77,4.29,Surgery,7826.0,Yes,85.12,1246.0,3.31,24493.0,0.69,39.4 +42916,Brazil,2003,Malaria,Neurological,0.16,2.5,6.57,19-35,Male,950590,60.99,0.77,7.52,Surgery,12163.0,Yes,91.6,2050.0,3.79,15279.0,0.53,31.43 +42925,France,2022,Hepatitis,Metabolic,3.08,4.38,7.4,36-60,Other,818909,84.47,1.49,2.72,Therapy,27788.0,Yes,57.47,1628.0,6.6,14611.0,0.85,57.52 +42928,France,2023,COVID-19,Metabolic,9.33,14.73,0.28,0-18,Female,269703,60.77,4.26,7.83,Vaccination,22890.0,No,78.11,73.0,0.17,31162.0,0.86,51.7 +42931,Indonesia,2006,Cholera,Metabolic,8.24,5.91,4.09,19-35,Male,284135,64.15,3.47,8.54,Medication,33358.0,Yes,76.3,2651.0,6.23,56485.0,0.41,73.19 +42934,Germany,2000,Cholera,Autoimmune,15.35,2.99,2.19,36-60,Other,264275,63.71,1.85,3.81,Therapy,43323.0,Yes,53.36,3112.0,9.41,59912.0,0.59,85.77 +42938,Russia,2023,Cholera,Parasitic,19.09,5.44,2.69,0-18,Other,313101,77.91,4.39,2.62,Surgery,42076.0,No,62.38,4704.0,6.62,80912.0,0.72,49.62 +42939,UK,2004,Asthma,Respiratory,11.27,6.2,7.31,19-35,Female,634564,71.96,1.31,2.97,Medication,24788.0,No,93.86,3451.0,8.77,32290.0,0.56,25.8 +42949,USA,2018,Dengue,Viral,18.04,5.76,8.42,61+,Female,48480,51.42,1.79,6.76,Vaccination,7389.0,Yes,83.74,921.0,6.04,33433.0,0.55,46.95 +42971,Japan,2016,Leprosy,Parasitic,7.32,6.76,6.59,0-18,Male,858252,78.08,3.64,7.13,Surgery,41372.0,No,88.85,836.0,9.91,78216.0,0.73,49.44 +42977,South Korea,2009,Polio,Metabolic,10.51,6.74,4.02,61+,Other,653413,60.56,3.87,7.71,Therapy,41151.0,Yes,86.93,77.0,5.48,44135.0,0.47,23.39 +42978,USA,2021,Hepatitis,Chronic,12.93,6.36,3.83,19-35,Other,187996,95.07,3.06,8.57,Medication,45925.0,No,96.1,1821.0,4.63,53875.0,0.5,57.51 +42981,USA,2003,Measles,Parasitic,7.45,12.57,1.95,19-35,Female,597900,65.32,1.19,3.12,Medication,49962.0,No,83.31,3084.0,0.28,7844.0,0.51,66.09 +42987,France,2006,Influenza,Parasitic,1.07,0.56,9.67,0-18,Male,913801,72.09,2.36,4.76,Vaccination,17902.0,No,56.59,552.0,9.91,52883.0,0.6,60.53 +42989,Argentina,2021,COVID-19,Cardiovascular,8.57,5.51,9.96,61+,Other,151718,55.41,2.72,9.46,Vaccination,13982.0,Yes,86.95,1341.0,3.64,24890.0,0.6,51.8 +43021,USA,2017,Measles,Autoimmune,18.75,4.27,9.95,61+,Male,840880,65.32,3.16,5.47,Therapy,39643.0,No,95.52,2191.0,3.79,89468.0,0.88,40.51 +43024,Canada,2009,Measles,Bacterial,1.42,13.68,6.51,0-18,Other,493137,76.43,1.02,1.2,Surgery,36429.0,Yes,59.39,2702.0,4.88,22353.0,0.89,53.37 +43036,Russia,2014,Ebola,Metabolic,6.64,4.56,6.27,0-18,Female,409764,54.49,4.61,2.69,Medication,25743.0,Yes,83.78,3215.0,7.4,95714.0,0.61,20.09 +43038,Australia,2022,Cancer,Bacterial,18.52,3.46,4.92,36-60,Female,363128,96.32,4.85,3.79,Surgery,4468.0,No,79.48,1003.0,6.94,35752.0,0.6,53.79 +43046,UK,2001,Tuberculosis,Respiratory,19.92,5.58,5.61,61+,Male,900311,77.41,2.59,4.97,Vaccination,15056.0,No,89.81,3499.0,4.4,92532.0,0.65,87.86 +43047,Argentina,2001,Rabies,Chronic,19.58,12.72,8.59,0-18,Male,508771,55.14,4.24,6.7,Surgery,3658.0,No,92.63,1305.0,9.14,10022.0,0.86,20.06 +43049,Indonesia,2021,Hepatitis,Metabolic,7.5,1.61,1.81,0-18,Other,161041,78.41,2.86,8.24,Therapy,20791.0,No,84.05,2353.0,0.61,36125.0,0.77,87.3 +43051,France,2015,Measles,Viral,16.21,7.51,6.58,19-35,Female,477011,51.5,4.26,4.33,Therapy,2026.0,No,59.62,4067.0,8.97,18329.0,0.82,63.46 +43053,Brazil,2016,Tuberculosis,Viral,3.84,6.51,2.57,61+,Male,729286,67.57,1.97,3.78,Surgery,5245.0,No,89.95,3442.0,4.07,42779.0,0.47,77.09 +43054,UK,2020,Polio,Viral,19.65,0.27,3.14,0-18,Female,563443,77.44,3.41,3.65,Vaccination,33093.0,No,53.55,3928.0,2.87,55954.0,0.79,49.79 +43058,Saudi Arabia,2012,Measles,Viral,8.63,12.86,8.38,61+,Other,696868,92.84,1.72,7.68,Vaccination,22377.0,No,66.84,4186.0,5.75,18540.0,0.59,35.87 +43061,Mexico,2005,Hypertension,Infectious,15.25,11.26,0.41,61+,Male,244657,77.57,4.55,6.4,Surgery,15497.0,No,95.25,2787.0,5.85,95638.0,0.72,53.11 +43069,Germany,2017,Measles,Respiratory,19.29,11.35,5.43,19-35,Other,323298,67.72,2.14,8.99,Medication,12828.0,Yes,86.57,4569.0,0.67,60127.0,0.58,88.5 +43071,Turkey,2023,Ebola,Autoimmune,10.99,5.41,2.12,0-18,Other,939266,66.58,2.43,9.92,Therapy,35783.0,Yes,74.94,2485.0,7.96,88385.0,0.82,61.73 +43080,Japan,2016,COVID-19,Infectious,11.53,11.77,9.25,36-60,Other,365659,77.0,4.49,8.99,Surgery,19920.0,No,80.38,4361.0,6.42,64111.0,0.43,47.73 +43098,UK,2017,Polio,Infectious,17.33,1.3,0.15,61+,Female,961898,72.58,4.37,4.78,Surgery,31638.0,No,61.64,206.0,8.51,12808.0,0.6,88.21 +43104,Japan,2013,COVID-19,Neurological,2.25,4.53,5.77,61+,Other,476229,55.49,1.54,8.6,Surgery,24631.0,No,82.47,1712.0,5.76,84974.0,0.63,47.75 +43106,Saudi Arabia,2000,Measles,Viral,4.43,1.78,1.24,19-35,Female,669453,59.18,4.79,9.23,Therapy,22720.0,No,63.34,2981.0,2.13,63105.0,0.73,20.24 +43116,Nigeria,2016,Cholera,Respiratory,3.29,13.09,0.29,61+,Female,611197,94.9,2.51,6.75,Medication,40334.0,No,80.89,3699.0,5.38,89030.0,0.88,57.96 +43119,India,2020,Rabies,Respiratory,13.86,7.96,8.53,0-18,Female,406698,60.8,3.71,9.39,Surgery,31192.0,No,94.46,1240.0,0.1,38199.0,0.85,43.6 +43121,Australia,2010,Leprosy,Respiratory,13.5,7.76,9.83,61+,Female,685797,59.64,2.34,8.72,Surgery,21472.0,No,96.97,4386.0,4.89,4591.0,0.46,53.87 +43124,South Korea,2004,Alzheimer's Disease,Viral,1.41,12.93,7.92,0-18,Other,344886,98.99,3.66,5.37,Vaccination,13799.0,No,72.76,2288.0,7.85,37941.0,0.82,64.77 +43125,Brazil,2003,Influenza,Viral,6.88,14.41,6.3,36-60,Other,764495,68.65,4.56,2.21,Therapy,16185.0,No,97.93,1412.0,2.7,18344.0,0.88,70.19 +43127,Turkey,2005,Hypertension,Viral,16.81,5.32,7.79,19-35,Female,974350,75.88,4.38,6.35,Therapy,24770.0,No,75.48,3337.0,0.09,15746.0,0.58,49.02 +43131,Brazil,2021,Leprosy,Autoimmune,0.91,4.66,6.68,36-60,Other,973765,69.63,3.97,9.12,Surgery,31620.0,Yes,71.1,3107.0,6.12,33459.0,0.65,84.16 +43139,Australia,2022,Asthma,Viral,3.7,14.12,8.02,0-18,Male,241799,89.15,3.03,1.42,Vaccination,37918.0,Yes,94.49,2836.0,9.61,13762.0,0.81,80.83 +43146,Mexico,2020,Diabetes,Parasitic,10.5,4.5,3.08,19-35,Male,156964,87.86,4.76,2.7,Medication,1618.0,Yes,62.47,3297.0,1.58,67631.0,0.76,69.36 +43148,Canada,2014,Hypertension,Chronic,1.87,12.25,3.92,0-18,Other,944652,84.39,3.72,2.03,Medication,14265.0,No,71.65,4711.0,7.74,1759.0,0.41,38.27 +43149,Brazil,2021,Hepatitis,Respiratory,8.0,12.5,9.53,36-60,Male,83764,51.24,2.99,3.33,Therapy,20512.0,No,91.71,3216.0,1.78,57720.0,0.89,66.88 +43159,Argentina,2013,Leprosy,Autoimmune,0.66,1.28,7.65,19-35,Female,554449,57.1,1.4,8.18,Medication,16045.0,No,62.97,853.0,1.36,41249.0,0.67,74.13 +43160,UK,2018,Leprosy,Bacterial,4.51,4.89,6.47,36-60,Female,486631,88.77,1.37,7.09,Vaccination,29331.0,No,79.89,3220.0,7.27,77505.0,0.61,65.17 +43161,Canada,2007,Cholera,Bacterial,5.65,11.01,0.16,61+,Male,893355,83.73,1.97,8.54,Medication,19461.0,Yes,64.13,4977.0,7.37,70359.0,0.64,52.08 +43164,Australia,2013,Hepatitis,Autoimmune,14.94,11.35,5.47,19-35,Male,522331,74.35,1.75,6.2,Vaccination,35486.0,Yes,63.03,4142.0,9.65,31419.0,0.79,54.44 +43165,Italy,2013,HIV/AIDS,Metabolic,9.69,10.17,0.59,61+,Female,771838,57.86,1.38,6.5,Surgery,19725.0,Yes,69.84,474.0,9.58,11720.0,0.51,58.17 +43167,China,2002,Malaria,Chronic,9.65,3.48,8.18,61+,Male,943078,74.72,3.85,6.49,Vaccination,30264.0,No,76.05,482.0,9.47,99122.0,0.77,75.68 +43174,Argentina,2003,Hypertension,Genetic,16.4,12.32,4.8,61+,Female,183481,89.82,2.08,9.64,Medication,27443.0,No,50.48,3879.0,0.07,14426.0,0.84,41.96 +43191,Russia,2009,Leprosy,Respiratory,5.55,3.39,2.74,0-18,Male,344506,88.42,2.09,0.94,Vaccination,45232.0,Yes,54.81,4317.0,8.1,22850.0,0.56,21.23 +43196,USA,2005,Polio,Neurological,7.4,10.8,7.52,36-60,Female,396198,71.08,3.71,4.88,Vaccination,47925.0,No,91.52,463.0,0.81,73067.0,0.53,79.63 +43200,Brazil,2004,Measles,Autoimmune,18.27,3.12,3.24,0-18,Female,437884,84.26,2.61,2.75,Therapy,24223.0,No,97.89,1292.0,7.17,4234.0,0.88,52.25 +43203,Italy,2019,Influenza,Chronic,15.79,0.65,2.92,0-18,Other,89363,97.91,2.89,2.81,Medication,21937.0,No,69.74,871.0,1.14,32148.0,0.49,27.58 +43218,Canada,2019,Malaria,Infectious,3.44,14.08,1.81,61+,Other,409298,76.95,1.52,0.88,Vaccination,39321.0,Yes,75.39,3101.0,7.48,98062.0,0.78,34.56 +43233,UK,2014,Leprosy,Metabolic,19.67,5.38,3.93,0-18,Female,773843,73.98,4.54,6.91,Medication,21521.0,Yes,92.55,370.0,2.63,24312.0,0.49,74.03 +43237,Indonesia,2012,Dengue,Bacterial,5.81,3.11,7.58,36-60,Other,629312,86.52,1.65,9.82,Medication,26476.0,Yes,84.87,1063.0,5.23,72664.0,0.85,37.2 +43255,China,2008,Rabies,Infectious,19.04,8.57,9.71,19-35,Female,215342,54.76,4.47,1.21,Medication,33733.0,Yes,70.52,42.0,4.06,15655.0,0.74,63.42 +43257,Italy,2022,Rabies,Chronic,3.74,13.39,5.43,36-60,Male,658555,97.67,2.43,2.54,Medication,521.0,No,83.48,4581.0,1.14,30254.0,0.53,31.23 +43262,South Korea,2002,Ebola,Autoimmune,19.45,13.28,6.37,61+,Other,824761,89.38,4.88,8.46,Medication,27952.0,No,87.72,4683.0,6.91,79469.0,0.65,82.97 +43265,Nigeria,2011,Zika,Respiratory,1.42,5.6,6.15,61+,Male,386211,96.98,2.19,9.55,Medication,20284.0,No,66.39,1538.0,8.55,39046.0,0.78,20.83 +43279,Indonesia,2016,Measles,Viral,1.56,13.45,0.84,0-18,Other,472161,51.36,4.72,3.91,Surgery,42739.0,Yes,75.82,3216.0,2.83,67748.0,0.46,61.15 +43283,Italy,2012,Zika,Neurological,19.27,7.3,4.35,0-18,Male,576410,85.74,3.19,3.85,Therapy,32564.0,Yes,62.04,2192.0,7.51,44630.0,0.88,28.44 +43289,Italy,2011,Parkinson's Disease,Bacterial,8.42,1.66,6.83,19-35,Other,637032,65.9,3.85,7.03,Medication,31344.0,No,98.9,4486.0,8.69,64203.0,0.84,29.17 +43291,Indonesia,2002,Dengue,Genetic,2.2,14.54,9.59,0-18,Female,729141,87.66,1.33,5.88,Therapy,29303.0,No,75.16,97.0,4.64,72123.0,0.81,59.83 +43293,Russia,2001,Dengue,Parasitic,12.48,5.33,7.16,36-60,Female,466594,76.72,2.83,3.61,Medication,49619.0,No,83.93,1059.0,2.14,46749.0,0.48,88.86 +43303,Nigeria,2013,Ebola,Infectious,10.32,6.28,8.32,36-60,Male,740213,87.36,3.99,6.39,Therapy,2508.0,Yes,70.13,4496.0,2.21,2644.0,0.49,35.91 +43304,Germany,2006,HIV/AIDS,Cardiovascular,9.03,6.78,1.01,19-35,Female,208401,65.58,4.79,1.25,Surgery,37076.0,Yes,89.09,1472.0,8.33,79103.0,0.84,53.84 +43307,Russia,2017,Leprosy,Parasitic,16.81,12.4,2.61,36-60,Male,584002,93.07,1.33,7.5,Surgery,31540.0,Yes,89.97,363.0,9.65,75245.0,0.66,27.49 +43310,Brazil,2016,Zika,Cardiovascular,12.01,7.28,9.28,19-35,Male,580653,84.83,2.12,3.63,Therapy,9689.0,Yes,95.7,3515.0,1.24,92978.0,0.44,47.21 +43322,UK,2018,Ebola,Viral,4.93,9.3,7.87,19-35,Male,130401,51.19,4.41,7.19,Therapy,3643.0,Yes,59.54,2766.0,5.3,92970.0,0.56,24.72 +43324,Indonesia,2002,Diabetes,Infectious,0.29,13.31,9.2,36-60,Male,379615,99.51,1.06,2.78,Vaccination,45934.0,Yes,84.98,2887.0,0.01,37172.0,0.64,71.46 +43328,South Africa,2007,Cholera,Cardiovascular,12.85,9.77,0.39,61+,Female,671897,77.48,2.06,2.79,Surgery,44735.0,Yes,63.56,6.0,1.24,21255.0,0.49,38.7 +43329,Mexico,2009,Ebola,Viral,10.43,8.31,2.1,19-35,Other,798057,60.03,1.84,9.03,Surgery,16585.0,No,56.78,972.0,8.41,62368.0,0.72,38.89 +43343,Brazil,2020,Parkinson's Disease,Chronic,8.44,9.19,9.2,0-18,Female,184056,66.24,2.54,7.44,Medication,40946.0,Yes,60.31,746.0,2.05,1963.0,0.78,42.26 +43356,Turkey,2012,Rabies,Parasitic,14.36,10.91,0.92,36-60,Female,787792,50.13,3.07,6.12,Therapy,28495.0,No,56.43,3257.0,8.99,17333.0,0.56,63.83 +43358,Australia,2019,Hypertension,Parasitic,19.49,10.84,3.84,61+,Other,274644,76.67,0.92,3.22,Therapy,38207.0,Yes,76.81,1219.0,3.42,35936.0,0.59,29.33 +43360,Japan,2004,Influenza,Respiratory,18.49,14.31,4.11,19-35,Male,960064,86.38,4.37,0.97,Vaccination,35564.0,No,59.17,1444.0,5.06,37283.0,0.7,37.06 +43361,Argentina,2009,Influenza,Neurological,4.85,1.95,9.66,19-35,Male,969605,90.49,2.61,9.12,Therapy,43607.0,No,68.16,1255.0,4.83,44845.0,0.74,54.74 +43363,Nigeria,2005,Alzheimer's Disease,Neurological,8.14,8.7,5.33,19-35,Female,902584,83.57,3.31,7.72,Vaccination,19504.0,No,98.45,4733.0,2.28,78560.0,0.53,78.89 +43371,Nigeria,2004,Measles,Neurological,3.36,0.45,6.33,36-60,Female,313000,81.53,4.7,5.08,Therapy,28311.0,Yes,66.48,1895.0,8.18,52851.0,0.56,73.35 +43375,USA,2015,Tuberculosis,Autoimmune,4.15,2.97,5.26,19-35,Female,585687,81.84,2.52,1.45,Surgery,18147.0,No,93.23,2285.0,3.7,67922.0,0.41,23.02 +43387,Australia,2008,Malaria,Metabolic,8.45,10.43,7.41,61+,Other,494882,54.77,3.47,4.53,Therapy,22866.0,No,88.4,64.0,9.29,60470.0,0.79,23.58 +43390,Argentina,2006,HIV/AIDS,Bacterial,10.91,0.26,6.03,36-60,Female,115844,95.95,0.64,8.52,Vaccination,7885.0,Yes,78.2,1989.0,8.02,93475.0,0.4,51.95 +43398,Australia,2018,Rabies,Cardiovascular,16.2,2.15,5.46,0-18,Other,146644,92.75,4.41,3.5,Medication,13143.0,No,60.06,3387.0,3.09,97402.0,0.53,88.42 +43403,Turkey,2015,Cancer,Bacterial,15.14,8.48,1.39,0-18,Other,813132,72.7,3.28,4.12,Therapy,27702.0,No,55.26,332.0,1.29,61168.0,0.77,59.2 +43407,Canada,2010,COVID-19,Chronic,4.62,14.12,0.12,61+,Other,689350,50.84,4.02,5.16,Vaccination,25089.0,No,98.12,3058.0,1.32,73789.0,0.73,28.91 +43411,South Africa,2015,Hypertension,Parasitic,3.38,2.61,0.37,61+,Male,178716,63.6,0.67,7.0,Medication,21279.0,No,58.14,3143.0,7.91,60093.0,0.71,71.83 +43428,South Africa,2005,Polio,Cardiovascular,7.8,8.38,8.28,61+,Male,884884,93.98,1.19,7.44,Vaccination,22073.0,No,71.65,4901.0,4.19,63896.0,0.77,42.4 +43434,Australia,2017,Cholera,Bacterial,2.76,0.82,1.89,36-60,Male,698384,73.43,2.77,8.82,Therapy,35335.0,No,97.18,3397.0,0.28,20309.0,0.51,39.02 +43436,Turkey,2008,Parkinson's Disease,Neurological,4.46,0.9,9.07,36-60,Male,575670,78.62,3.46,8.61,Medication,35028.0,No,97.63,3084.0,6.89,73786.0,0.67,60.65 +43439,India,2024,Polio,Bacterial,2.98,7.1,0.97,36-60,Male,298709,91.5,0.82,5.31,Therapy,26148.0,Yes,81.25,1431.0,7.09,74824.0,0.45,40.26 +43448,Italy,2002,Cancer,Cardiovascular,0.32,1.4,2.19,61+,Male,665067,77.24,3.43,9.75,Surgery,47513.0,No,82.06,3661.0,4.05,94991.0,0.68,68.23 +43459,Saudi Arabia,2017,Malaria,Metabolic,12.48,13.23,3.64,36-60,Female,601663,93.31,0.75,5.6,Vaccination,22823.0,Yes,54.9,3602.0,8.23,4584.0,0.8,71.17 +43462,Saudi Arabia,2012,Diabetes,Genetic,12.23,0.37,0.67,19-35,Female,192037,93.05,3.67,6.0,Vaccination,39760.0,No,72.6,1414.0,4.47,36656.0,0.68,21.35 +43470,Turkey,2022,Hepatitis,Infectious,13.82,10.88,8.57,19-35,Female,649038,86.78,2.47,1.1,Vaccination,15537.0,Yes,76.55,33.0,7.56,65335.0,0.7,36.86 +43471,Russia,2004,HIV/AIDS,Viral,4.67,7.17,9.09,0-18,Female,902313,50.68,2.24,8.09,Vaccination,19321.0,Yes,88.42,3239.0,7.5,51191.0,0.81,63.03 +43475,South Africa,2000,Hepatitis,Chronic,3.31,12.98,5.26,0-18,Other,653473,81.84,2.16,1.79,Therapy,21538.0,No,90.73,2774.0,8.95,75321.0,0.49,50.99 +43476,Saudi Arabia,2007,Dengue,Chronic,8.0,9.04,2.13,36-60,Other,240689,88.28,4.77,1.8,Surgery,4577.0,Yes,72.1,4032.0,3.41,32234.0,0.7,70.63 +43482,UK,2013,Parkinson's Disease,Infectious,11.19,1.31,0.73,19-35,Other,796278,79.42,0.6,1.76,Medication,49155.0,No,62.51,1662.0,8.41,82638.0,0.84,76.53 +43483,UK,2019,Measles,Infectious,15.02,14.49,7.55,0-18,Other,349795,89.78,4.23,3.74,Therapy,39754.0,No,96.78,3913.0,5.93,89906.0,0.59,38.32 +43485,Turkey,2018,Alzheimer's Disease,Genetic,7.81,7.74,2.13,0-18,Female,78662,88.11,0.58,6.96,Therapy,23856.0,Yes,97.28,3949.0,8.15,55108.0,0.8,80.49 +43488,Brazil,2014,Zika,Chronic,13.52,2.03,2.02,61+,Male,890576,77.97,2.1,1.99,Surgery,14308.0,No,67.2,113.0,0.55,76428.0,0.82,89.41 +43489,Japan,2011,Leprosy,Autoimmune,19.42,1.84,0.16,61+,Male,505618,95.59,2.1,4.33,Medication,40392.0,No,92.53,2352.0,8.53,87038.0,0.43,70.03 +43492,Canada,2002,Hepatitis,Chronic,16.49,2.71,2.04,61+,Male,567515,80.78,2.14,4.65,Therapy,36685.0,Yes,80.04,3744.0,6.05,48214.0,0.62,23.39 +43499,Nigeria,2022,Polio,Bacterial,18.58,0.23,9.12,36-60,Male,945112,55.33,2.55,9.0,Therapy,10459.0,No,71.31,4543.0,7.3,94779.0,0.71,20.04 +43503,Indonesia,2003,Measles,Infectious,5.28,7.97,9.66,19-35,Other,480215,75.81,4.22,0.53,Medication,3957.0,No,93.68,94.0,7.43,38014.0,0.72,76.46 +43506,India,2022,Hypertension,Autoimmune,6.64,4.57,9.71,19-35,Other,910382,60.99,4.19,7.38,Therapy,33172.0,Yes,60.52,1780.0,3.95,34918.0,0.52,54.25 +43518,India,2009,COVID-19,Genetic,1.5,11.1,7.23,19-35,Other,165283,70.29,0.6,1.59,Medication,1067.0,No,74.63,2954.0,5.42,83681.0,0.69,88.0 +43523,Japan,2023,Rabies,Autoimmune,7.02,4.08,4.5,36-60,Other,631114,98.39,1.57,5.79,Therapy,40260.0,Yes,82.07,529.0,9.62,49045.0,0.56,85.81 +43526,India,2019,Polio,Infectious,1.53,8.43,5.57,0-18,Female,908154,82.45,4.55,2.11,Therapy,29229.0,Yes,65.96,882.0,7.98,53583.0,0.79,31.88 +43529,Indonesia,2014,Tuberculosis,Infectious,19.27,7.38,4.24,61+,Male,730628,81.78,0.72,8.04,Medication,25452.0,No,85.58,2125.0,3.43,74954.0,0.66,76.59 +43537,Saudi Arabia,2008,Leprosy,Neurological,2.14,1.76,4.98,0-18,Other,355462,79.84,4.11,9.49,Surgery,6473.0,No,70.66,4701.0,2.99,51143.0,0.78,21.33 +43545,Argentina,2012,Hepatitis,Bacterial,4.35,6.41,1.27,61+,Other,584082,75.68,4.71,5.84,Medication,34258.0,No,84.06,4887.0,5.8,96072.0,0.87,41.33 +43549,South Korea,2013,Rabies,Metabolic,12.99,2.49,8.47,36-60,Female,350550,63.68,2.59,5.04,Surgery,31536.0,No,85.69,942.0,8.08,47821.0,0.81,30.16 +43555,Argentina,2024,Hypertension,Parasitic,16.72,14.76,8.0,0-18,Other,904716,90.9,2.38,7.02,Medication,29192.0,No,72.23,2014.0,2.67,85952.0,0.44,26.73 +43564,Saudi Arabia,2010,Dengue,Parasitic,1.47,0.85,4.72,36-60,Other,847189,87.7,3.1,8.14,Surgery,19267.0,No,67.41,407.0,0.27,10851.0,0.86,62.83 +43574,China,2018,HIV/AIDS,Respiratory,17.39,11.7,6.07,19-35,Other,865300,80.08,4.68,3.83,Therapy,9112.0,No,98.17,248.0,5.76,81081.0,0.54,42.34 +43581,Indonesia,2004,Alzheimer's Disease,Chronic,12.11,2.37,1.65,19-35,Female,164935,83.18,4.02,3.57,Surgery,14271.0,No,64.73,4646.0,7.01,98219.0,0.54,54.54 +43582,Turkey,2001,Parkinson's Disease,Neurological,9.73,9.18,1.85,0-18,Male,472653,86.79,1.48,4.08,Therapy,20302.0,Yes,79.81,4440.0,6.32,21588.0,0.8,75.91 +43586,India,2013,Dengue,Chronic,4.44,4.89,8.51,0-18,Male,145244,56.67,1.44,8.13,Medication,23707.0,Yes,81.62,1491.0,2.68,61655.0,0.68,53.93 +43595,Saudi Arabia,2017,HIV/AIDS,Bacterial,1.74,0.27,1.56,19-35,Other,282592,97.34,2.83,2.58,Medication,13853.0,Yes,97.7,576.0,8.44,57090.0,0.64,69.15 +43609,Mexico,2005,Measles,Neurological,16.8,8.15,5.92,61+,Other,932731,93.05,3.5,1.57,Vaccination,26046.0,No,68.8,1274.0,5.71,61750.0,0.45,49.98 +43610,Mexico,2012,Hepatitis,Viral,7.93,6.04,2.5,36-60,Male,644796,83.62,2.98,3.5,Medication,19457.0,Yes,54.91,3030.0,1.18,27886.0,0.52,57.01 +43613,India,2016,Hypertension,Infectious,5.73,10.34,9.25,36-60,Female,453596,87.71,1.59,2.58,Vaccination,36301.0,Yes,65.81,3225.0,9.54,76931.0,0.42,25.45 +43614,Mexico,2016,Asthma,Chronic,8.83,11.62,5.41,19-35,Female,61187,90.33,0.65,2.11,Vaccination,11274.0,No,57.3,4408.0,7.09,91605.0,0.72,26.63 +43619,South Korea,2019,Tuberculosis,Autoimmune,4.76,6.55,9.43,19-35,Other,318244,74.86,4.67,8.27,Vaccination,43189.0,Yes,98.92,3232.0,5.06,90988.0,0.56,22.61 +43621,Canada,2007,Leprosy,Bacterial,6.96,11.27,8.04,61+,Male,697885,62.52,3.76,7.62,Surgery,36070.0,Yes,94.36,844.0,3.26,67758.0,0.86,52.5 +43629,Mexico,2010,HIV/AIDS,Infectious,0.5,4.15,5.94,0-18,Female,76081,88.64,4.83,5.5,Surgery,20098.0,Yes,91.68,4524.0,0.14,47892.0,0.41,86.22 +43630,Mexico,2014,Zika,Respiratory,5.4,13.97,6.48,19-35,Male,366830,69.63,0.83,9.56,Medication,17417.0,No,61.66,3827.0,1.45,73417.0,0.54,79.32 +43638,South Korea,2002,COVID-19,Cardiovascular,15.1,13.86,4.23,36-60,Other,911496,79.63,4.21,8.08,Surgery,44737.0,Yes,59.77,2605.0,0.54,98627.0,0.73,65.76 +43651,UK,2012,Hepatitis,Respiratory,6.97,0.57,6.92,0-18,Male,901158,71.68,0.52,9.79,Vaccination,20701.0,No,55.57,1413.0,0.16,94123.0,0.56,48.47 +43653,Russia,2001,Hypertension,Parasitic,0.77,6.19,2.07,61+,Other,98554,63.4,4.84,6.79,Therapy,40361.0,Yes,69.78,368.0,3.62,84188.0,0.7,37.84 +43655,Australia,2021,Rabies,Chronic,16.65,7.6,0.32,19-35,Other,975229,57.96,3.48,6.49,Surgery,25172.0,Yes,55.99,4275.0,0.47,78434.0,0.51,40.09 +43663,Mexico,2012,Leprosy,Chronic,19.97,0.94,9.65,36-60,Other,5282,95.04,0.64,0.95,Vaccination,28472.0,No,91.19,4009.0,7.82,73315.0,0.43,23.52 +43664,Turkey,2003,Cancer,Metabolic,8.35,3.81,8.87,19-35,Other,880554,51.39,4.95,8.24,Vaccination,36302.0,Yes,74.36,2492.0,7.32,64438.0,0.68,62.36 +43665,France,2024,Measles,Chronic,4.24,8.49,1.77,36-60,Male,245929,88.07,3.23,1.0,Surgery,21091.0,Yes,78.71,4562.0,1.41,94073.0,0.64,21.89 +43666,Italy,2015,Tuberculosis,Parasitic,10.78,5.89,2.98,0-18,Other,529178,99.56,3.94,2.55,Medication,34496.0,Yes,87.31,4824.0,0.51,61894.0,0.84,38.28 +43675,Canada,2014,Tuberculosis,Metabolic,11.92,5.48,8.7,61+,Male,20985,58.18,4.01,2.42,Surgery,45484.0,Yes,72.36,4845.0,0.09,82842.0,0.74,80.41 +43677,France,2016,Leprosy,Viral,7.78,11.0,5.3,19-35,Female,662714,89.23,4.78,0.55,Vaccination,10102.0,No,58.98,4315.0,9.21,2456.0,0.81,74.31 +43678,France,2016,Parkinson's Disease,Respiratory,6.07,2.45,0.49,19-35,Female,732179,57.75,3.26,7.29,Medication,45428.0,Yes,59.29,4532.0,4.15,81801.0,0.8,28.62 +43683,India,2018,Leprosy,Cardiovascular,7.1,13.52,9.44,19-35,Other,728731,52.65,2.98,8.15,Vaccination,17334.0,No,68.37,4356.0,5.93,46396.0,0.41,63.64 +43688,Turkey,2017,Asthma,Respiratory,0.88,1.13,0.71,36-60,Male,479512,89.43,2.75,7.43,Therapy,8469.0,No,72.84,2668.0,2.29,21146.0,0.86,32.37 +43690,Japan,2022,HIV/AIDS,Viral,8.36,6.19,4.14,0-18,Other,400673,68.5,4.28,9.25,Medication,6693.0,No,58.68,486.0,0.96,50855.0,0.74,79.51 +43696,South Africa,2003,Cholera,Infectious,6.84,12.96,9.07,19-35,Female,94487,59.6,3.78,6.92,Vaccination,48747.0,Yes,68.75,1530.0,9.05,66597.0,0.71,48.46 +43698,Mexico,2020,Hypertension,Respiratory,11.07,8.19,4.89,19-35,Female,773193,99.2,1.72,0.64,Vaccination,21182.0,No,75.14,2085.0,7.11,37434.0,0.59,86.81 +43699,Russia,2022,Polio,Metabolic,3.72,14.79,4.37,19-35,Female,117523,79.98,3.89,7.41,Medication,18501.0,No,92.82,4241.0,0.66,57627.0,0.47,49.93 +43701,Nigeria,2012,Hypertension,Chronic,17.25,6.21,7.43,61+,Female,346603,90.14,4.66,9.91,Surgery,31257.0,Yes,84.4,2862.0,7.64,12672.0,0.68,76.71 +43707,Turkey,2012,Influenza,Viral,7.13,12.55,2.85,36-60,Other,442849,50.03,3.71,3.39,Therapy,8077.0,No,65.25,3281.0,2.42,46918.0,0.42,49.74 +43709,India,2011,Malaria,Neurological,0.95,0.49,9.04,36-60,Male,987601,98.7,1.22,3.25,Surgery,18614.0,Yes,62.34,2960.0,7.94,21659.0,0.45,40.82 +43715,South Africa,2011,Asthma,Cardiovascular,19.57,2.14,5.38,36-60,Other,279936,74.71,0.95,2.21,Medication,36488.0,Yes,92.95,1069.0,9.82,49710.0,0.66,46.57 +43717,Saudi Arabia,2002,Leprosy,Neurological,3.13,9.64,6.07,36-60,Female,458162,67.22,0.58,4.43,Therapy,25929.0,Yes,82.27,21.0,8.57,19919.0,0.77,41.38 +43720,Saudi Arabia,2012,Hypertension,Cardiovascular,5.98,5.65,4.14,0-18,Male,269464,78.09,1.57,0.59,Vaccination,9040.0,No,90.84,2043.0,5.28,53919.0,0.53,74.69 +43727,France,2005,COVID-19,Infectious,13.12,2.31,9.83,0-18,Female,447801,96.13,1.42,6.04,Medication,15436.0,Yes,51.88,432.0,8.06,91067.0,0.82,81.23 +43733,Australia,2005,Malaria,Viral,11.97,1.72,0.37,61+,Male,803652,92.36,1.01,3.58,Therapy,46056.0,Yes,57.16,4771.0,6.24,65238.0,0.83,67.3 +43736,Germany,2023,Parkinson's Disease,Infectious,10.44,8.19,6.42,19-35,Other,184367,70.82,2.29,6.31,Surgery,24810.0,Yes,78.27,2596.0,6.72,47628.0,0.75,39.55 +43741,India,2009,Ebola,Infectious,2.56,3.21,0.11,36-60,Female,201206,74.1,3.6,9.23,Therapy,20820.0,Yes,66.94,296.0,9.3,89872.0,0.71,48.87 +43746,India,2013,Measles,Autoimmune,19.38,9.44,7.42,61+,Other,641119,91.79,3.21,2.6,Therapy,25208.0,No,51.76,2929.0,4.45,44327.0,0.43,78.02 +43749,Turkey,2016,Alzheimer's Disease,Autoimmune,15.23,14.11,2.38,61+,Other,386749,66.26,3.67,5.28,Therapy,22922.0,Yes,57.39,1040.0,5.06,38801.0,0.57,33.88 +43751,Nigeria,2008,Hypertension,Genetic,19.17,5.52,8.23,61+,Female,379343,60.74,2.91,1.57,Surgery,22723.0,No,56.87,4722.0,6.37,32280.0,0.87,87.44 +43753,Russia,2020,Leprosy,Respiratory,10.08,2.59,0.29,61+,Female,143292,74.23,2.71,7.15,Surgery,8359.0,Yes,87.01,2438.0,7.6,58710.0,0.84,59.84 +43754,South Korea,2024,Ebola,Autoimmune,5.15,5.5,2.5,19-35,Female,487837,84.69,3.41,5.08,Medication,47781.0,No,78.01,891.0,4.0,87448.0,0.74,25.92 +43760,Saudi Arabia,2017,Cancer,Infectious,8.73,5.54,6.33,0-18,Other,838588,61.51,3.31,8.56,Vaccination,23013.0,Yes,50.5,500.0,4.82,36602.0,0.78,88.15 +43763,South Korea,2005,Cholera,Parasitic,13.05,4.92,9.75,36-60,Female,692000,64.37,2.75,2.04,Vaccination,18369.0,Yes,95.05,2919.0,3.6,2435.0,0.64,83.95 +43766,Indonesia,2014,Hepatitis,Bacterial,7.9,5.73,2.07,36-60,Other,105862,56.7,1.06,4.56,Therapy,29547.0,No,60.14,3528.0,7.55,4389.0,0.42,76.03 +43768,Italy,2012,Hepatitis,Bacterial,19.16,11.15,6.71,36-60,Female,702332,77.26,3.58,7.76,Vaccination,21495.0,No,79.92,4794.0,4.94,52902.0,0.54,72.56 +43771,Italy,2018,Ebola,Metabolic,8.96,8.13,0.48,19-35,Male,16283,60.78,3.47,8.66,Surgery,21943.0,No,50.92,2293.0,5.74,66839.0,0.84,46.51 +43777,Mexico,2020,Malaria,Respiratory,4.83,5.65,9.92,0-18,Female,307064,52.28,4.76,7.83,Vaccination,46568.0,No,77.4,1254.0,9.91,26584.0,0.6,26.32 +43780,India,2012,HIV/AIDS,Neurological,9.48,7.4,2.97,61+,Other,147988,53.68,1.3,4.19,Medication,2759.0,Yes,55.71,2767.0,2.48,72781.0,0.88,87.28 +43788,Turkey,2022,Hepatitis,Metabolic,3.47,11.59,6.78,61+,Female,873659,85.17,3.86,6.71,Vaccination,19787.0,No,94.6,4722.0,9.12,45973.0,0.65,58.35 +43789,UK,2002,Rabies,Parasitic,1.6,12.66,0.91,19-35,Female,662223,61.72,4.49,5.84,Medication,24018.0,Yes,97.46,446.0,6.42,17271.0,0.44,54.31 +43801,USA,2005,Zika,Infectious,12.91,6.48,4.26,36-60,Other,507466,88.56,2.46,5.51,Therapy,43602.0,No,73.28,2741.0,5.2,79737.0,0.72,65.86 +43815,Japan,2017,Measles,Infectious,8.23,14.5,9.94,61+,Female,985395,89.56,2.8,5.53,Therapy,44117.0,No,58.19,646.0,5.35,49485.0,0.49,75.14 +43819,Mexico,2006,COVID-19,Respiratory,5.63,8.01,4.81,0-18,Other,133871,97.44,4.79,1.2,Therapy,602.0,Yes,53.12,1804.0,0.85,6472.0,0.72,64.63 +43825,South Korea,2003,Ebola,Parasitic,19.35,3.46,1.53,0-18,Male,446444,82.19,1.85,8.46,Medication,6704.0,Yes,51.85,3534.0,6.45,67753.0,0.74,20.39 +43843,Italy,2003,Malaria,Infectious,6.89,2.06,3.59,36-60,Male,828885,84.71,3.27,3.25,Medication,45488.0,No,55.7,1874.0,8.19,78091.0,0.87,45.06 +43859,France,2004,Ebola,Chronic,6.64,0.16,0.31,36-60,Male,95723,50.66,2.87,5.72,Medication,9108.0,Yes,93.84,3979.0,6.62,39080.0,0.82,24.04 +43860,Australia,2003,COVID-19,Cardiovascular,8.14,14.27,6.16,0-18,Male,639931,70.79,3.23,7.49,Medication,37726.0,Yes,82.75,279.0,4.38,6371.0,0.85,20.06 +43863,China,2008,Malaria,Neurological,11.0,3.39,9.82,19-35,Female,566221,53.97,3.03,4.51,Surgery,13649.0,No,89.5,3410.0,3.65,78187.0,0.89,38.26 +43871,Turkey,2003,Measles,Genetic,2.85,2.78,8.52,61+,Other,806030,87.13,2.49,9.69,Therapy,1422.0,No,77.43,449.0,1.31,80297.0,0.53,27.08 +43876,India,2010,Zika,Metabolic,17.52,3.63,8.37,0-18,Other,282975,78.7,1.98,0.61,Medication,48945.0,No,73.0,4892.0,8.87,57302.0,0.73,87.03 +43882,India,2006,Parkinson's Disease,Neurological,13.24,10.77,7.43,0-18,Male,45799,76.34,2.83,5.13,Medication,38018.0,Yes,64.88,4308.0,7.38,96373.0,0.56,35.81 +43893,Italy,2002,Malaria,Infectious,13.16,5.89,4.67,61+,Male,934043,85.31,4.21,4.93,Vaccination,39858.0,Yes,95.96,1585.0,3.95,29844.0,0.49,81.45 +43894,South Korea,2013,Cholera,Infectious,12.07,6.91,4.97,19-35,Male,497489,61.73,1.03,1.63,Vaccination,4728.0,Yes,98.99,4943.0,3.29,47480.0,0.55,63.24 +43895,Russia,2012,Malaria,Genetic,6.89,13.23,6.78,36-60,Female,28469,65.67,2.17,3.59,Medication,699.0,Yes,88.08,3134.0,1.87,9908.0,0.5,68.31 +43896,Italy,2000,Tuberculosis,Viral,10.72,6.0,0.77,19-35,Other,47144,97.82,4.94,7.74,Therapy,49497.0,Yes,98.11,251.0,5.88,16210.0,0.81,46.1 +43899,China,2007,Hypertension,Genetic,18.43,8.32,6.66,0-18,Female,770460,53.36,0.81,8.01,Therapy,47141.0,No,91.28,1698.0,5.49,79859.0,0.49,20.06 +43903,Turkey,2023,Ebola,Bacterial,12.17,10.69,4.05,36-60,Female,168285,97.93,1.85,0.9,Medication,33869.0,Yes,68.3,2822.0,7.13,66776.0,0.8,85.52 +43904,Indonesia,2004,Leprosy,Bacterial,11.86,1.12,8.07,61+,Female,436973,62.15,1.5,0.61,Vaccination,20080.0,Yes,83.89,3754.0,2.58,58270.0,0.84,39.74 +43913,Mexico,2010,Polio,Genetic,13.8,3.14,9.36,19-35,Other,469851,78.59,1.04,5.07,Vaccination,7089.0,No,50.14,4445.0,2.23,24554.0,0.69,66.1 +43916,Nigeria,2023,Cholera,Neurological,1.36,10.42,8.32,61+,Male,550921,54.54,1.85,5.95,Vaccination,49213.0,No,98.63,3622.0,3.63,90168.0,0.62,82.76 +43936,Australia,2000,Cancer,Viral,2.01,3.96,3.44,19-35,Other,976567,95.86,4.99,3.25,Vaccination,14223.0,Yes,65.38,269.0,4.4,53801.0,0.9,78.28 +43939,France,2009,Hepatitis,Autoimmune,14.89,1.67,0.34,36-60,Male,674456,54.6,3.79,9.82,Medication,21504.0,No,65.72,3109.0,5.99,52681.0,0.6,84.32 +43949,Argentina,2011,Cholera,Respiratory,19.84,7.84,5.19,0-18,Other,639155,74.19,2.44,7.38,Therapy,16581.0,No,61.94,2074.0,1.9,28378.0,0.85,41.65 +43951,Germany,2021,Diabetes,Viral,13.92,4.11,9.71,19-35,Female,536423,59.01,3.83,4.1,Surgery,43587.0,No,78.29,1072.0,3.48,68957.0,0.76,84.62 +43957,Brazil,2020,Zika,Respiratory,0.37,12.06,9.66,0-18,Other,83095,64.91,3.75,6.26,Medication,5778.0,Yes,78.18,4244.0,6.05,76295.0,0.41,86.89 +43958,Japan,2017,Dengue,Cardiovascular,3.86,3.1,9.88,19-35,Other,511527,68.82,1.8,1.91,Medication,48129.0,No,83.26,3766.0,4.83,63385.0,0.88,64.5 +43960,Saudi Arabia,2002,Parkinson's Disease,Autoimmune,16.76,8.64,6.64,36-60,Other,805645,61.03,1.6,4.46,Surgery,20919.0,No,61.73,3659.0,2.69,22163.0,0.82,73.57 +43964,UK,2008,Rabies,Bacterial,8.87,4.61,5.72,61+,Male,94318,88.63,1.93,5.09,Medication,5063.0,No,90.63,4192.0,9.6,24875.0,0.71,89.63 +43966,India,2012,Asthma,Cardiovascular,14.07,6.78,4.6,61+,Male,193475,63.15,3.44,5.34,Vaccination,41856.0,Yes,93.8,913.0,6.05,44587.0,0.81,62.42 +43971,Turkey,2014,Rabies,Genetic,0.58,10.61,1.0,0-18,Female,642133,82.29,1.06,2.08,Medication,25643.0,No,69.73,2965.0,5.87,64294.0,0.45,33.91 +43973,Australia,2015,Cholera,Bacterial,15.05,14.95,6.43,36-60,Female,793428,50.93,3.27,5.91,Medication,41655.0,Yes,52.85,4142.0,9.79,76849.0,0.66,59.67 +43978,India,2001,Tuberculosis,Genetic,10.14,1.76,4.02,36-60,Female,609651,65.37,4.9,8.87,Medication,9314.0,Yes,77.48,1175.0,5.03,73584.0,0.74,74.1 +43982,Nigeria,2018,COVID-19,Cardiovascular,6.37,13.38,2.71,0-18,Female,307772,66.79,3.19,8.81,Medication,4092.0,Yes,87.69,4918.0,5.19,93157.0,0.78,84.57 +43987,Canada,2009,Hepatitis,Infectious,7.71,7.43,2.42,19-35,Female,252754,68.14,4.46,4.85,Therapy,43950.0,No,72.05,2801.0,3.98,59028.0,0.41,64.28 +43988,France,2007,Hypertension,Parasitic,13.04,6.62,3.68,19-35,Female,238445,77.17,4.42,4.59,Surgery,37105.0,No,72.01,1351.0,1.7,4663.0,0.84,84.74 +43992,UK,2022,Parkinson's Disease,Infectious,11.68,3.23,3.98,61+,Other,327500,82.01,2.88,1.01,Vaccination,29560.0,No,70.48,2412.0,7.33,28200.0,0.68,32.54 +43995,South Korea,2002,Hypertension,Chronic,17.72,9.0,1.07,36-60,Male,382713,91.62,3.02,1.77,Vaccination,13887.0,Yes,56.85,3953.0,0.07,60332.0,0.75,62.02 +43998,India,2011,Asthma,Viral,12.9,5.62,7.44,36-60,Male,390198,68.32,4.94,4.96,Medication,100.0,No,63.27,3573.0,4.5,93253.0,0.49,55.27 +44007,Turkey,2016,Cholera,Infectious,6.84,10.52,8.53,61+,Female,458629,89.75,2.38,9.21,Medication,47660.0,No,79.0,4878.0,1.33,44987.0,0.69,52.12 +44010,Italy,2013,Influenza,Respiratory,3.02,13.75,5.17,0-18,Other,808900,65.13,1.82,6.94,Surgery,38618.0,Yes,79.55,4448.0,0.94,23226.0,0.64,33.45 +44019,Argentina,2023,COVID-19,Respiratory,14.1,9.91,4.81,36-60,Female,352020,93.54,2.89,2.86,Therapy,32050.0,No,86.88,3805.0,5.68,63204.0,0.52,37.62 +44025,UK,2004,Leprosy,Bacterial,19.34,7.35,3.57,0-18,Female,236949,95.88,4.87,4.04,Medication,13219.0,No,54.84,1590.0,7.96,11603.0,0.66,43.98 +44033,Nigeria,2015,Asthma,Infectious,0.57,2.16,4.84,36-60,Male,760132,87.07,4.97,7.12,Surgery,41070.0,Yes,66.51,1354.0,2.42,77691.0,0.52,44.1 +44035,Nigeria,2024,Hepatitis,Autoimmune,2.21,6.49,0.29,19-35,Other,963808,96.15,3.76,6.46,Medication,42864.0,No,64.69,4501.0,0.53,54100.0,0.51,20.97 +44036,Indonesia,2003,Diabetes,Infectious,7.04,10.48,0.44,61+,Female,53264,76.7,1.31,8.61,Surgery,45395.0,No,92.06,1803.0,6.62,42635.0,0.77,39.62 +44039,France,2005,Diabetes,Bacterial,9.51,10.46,7.86,61+,Male,106245,80.23,1.62,6.62,Surgery,7294.0,No,50.67,1646.0,9.05,29884.0,0.42,84.39 +44044,Saudi Arabia,2010,COVID-19,Parasitic,13.78,2.68,1.12,61+,Male,553525,86.77,4.09,9.24,Vaccination,47775.0,No,88.36,3278.0,2.81,4425.0,0.55,79.89 +44047,Japan,2015,Hepatitis,Infectious,19.86,4.76,9.33,0-18,Other,560555,72.67,2.74,6.71,Medication,23355.0,Yes,90.97,2504.0,9.17,60063.0,0.6,70.91 +44053,Saudi Arabia,2010,Hypertension,Respiratory,19.98,10.52,0.71,36-60,Other,385722,93.9,0.65,4.81,Medication,10668.0,No,58.38,4814.0,8.53,20162.0,0.67,87.55 +44054,Indonesia,2004,Cancer,Cardiovascular,15.32,13.63,9.43,0-18,Female,388692,65.61,2.36,6.47,Surgery,21969.0,Yes,67.94,2935.0,6.47,44186.0,0.87,45.63 +44058,South Africa,2008,Ebola,Cardiovascular,12.72,7.05,8.78,36-60,Other,350461,96.36,1.67,5.08,Medication,17612.0,No,52.53,3829.0,3.21,42387.0,0.68,60.04 +44060,Saudi Arabia,2022,Leprosy,Infectious,11.47,2.81,2.89,0-18,Other,382111,58.74,4.48,10.0,Surgery,31236.0,No,90.25,570.0,6.54,61875.0,0.74,25.19 +44069,Mexico,2000,Rabies,Viral,15.29,12.01,8.41,36-60,Female,370812,68.35,2.2,3.65,Therapy,24013.0,No,62.66,39.0,9.73,8600.0,0.74,48.94 +44070,South Africa,2014,Zika,Autoimmune,14.52,3.44,5.62,0-18,Female,245985,61.41,2.56,2.19,Medication,28812.0,No,98.76,589.0,4.55,98051.0,0.51,36.15 +44073,UK,2021,Cancer,Viral,8.77,2.32,8.3,61+,Male,708161,73.34,4.77,2.87,Therapy,3029.0,No,67.88,2638.0,1.11,23867.0,0.42,22.09 +44076,Italy,2009,Alzheimer's Disease,Parasitic,3.47,14.03,2.67,19-35,Male,270403,94.2,0.8,7.17,Medication,11202.0,No,92.65,1187.0,0.77,64102.0,0.69,86.65 +44077,Saudi Arabia,2019,Hypertension,Autoimmune,6.37,13.29,0.64,61+,Female,445569,76.99,3.21,1.15,Vaccination,11066.0,Yes,98.34,4609.0,1.56,43371.0,0.65,61.43 +44078,Australia,2012,Rabies,Viral,11.84,3.71,9.64,61+,Male,876323,79.78,3.86,8.99,Medication,18771.0,Yes,68.46,2628.0,2.07,53524.0,0.74,61.36 +44079,Germany,2001,Influenza,Bacterial,10.86,13.43,8.24,61+,Other,92291,97.83,4.72,5.6,Medication,7435.0,No,74.49,2118.0,5.34,6883.0,0.56,56.31 +44084,USA,2014,Parkinson's Disease,Cardiovascular,4.31,7.29,3.19,19-35,Other,181337,76.89,4.2,1.05,Surgery,13666.0,Yes,96.66,3670.0,1.2,46022.0,0.54,85.21 +44086,Saudi Arabia,2018,Polio,Parasitic,0.32,11.84,2.51,36-60,Female,314630,57.21,3.43,3.58,Vaccination,17251.0,Yes,53.91,3469.0,9.01,63180.0,0.52,82.07 +44088,Brazil,2021,Hypertension,Chronic,0.99,13.18,5.83,36-60,Female,345890,69.4,3.85,7.34,Vaccination,3442.0,Yes,87.92,1062.0,6.34,63242.0,0.67,66.16 +44091,USA,2004,Alzheimer's Disease,Parasitic,18.24,6.42,4.51,36-60,Female,578920,94.12,4.72,4.58,Surgery,7045.0,No,61.39,1909.0,6.81,71016.0,0.45,87.63 +44093,Italy,2015,Polio,Infectious,17.64,11.77,8.54,61+,Other,220162,54.08,1.67,4.62,Therapy,35827.0,Yes,97.13,1775.0,2.96,61120.0,0.69,34.99 +44096,South Africa,2008,Malaria,Cardiovascular,11.9,5.35,8.61,61+,Other,146383,91.87,2.25,3.94,Medication,30811.0,Yes,79.82,3162.0,2.37,39228.0,0.6,37.65 +44099,Mexico,2001,Asthma,Metabolic,11.9,6.94,5.76,19-35,Other,213331,80.59,1.39,8.04,Surgery,45515.0,Yes,97.65,3544.0,6.37,19493.0,0.72,36.58 +44102,Australia,2016,Dengue,Autoimmune,2.4,4.11,7.32,36-60,Male,491199,66.69,3.81,8.52,Medication,25388.0,Yes,78.48,2713.0,0.09,92700.0,0.78,25.83 +44109,Italy,2010,Dengue,Bacterial,19.9,2.9,5.26,19-35,Female,710152,54.36,3.64,1.0,Medication,8555.0,Yes,56.03,2569.0,2.04,46078.0,0.79,20.8 +44111,USA,2024,Polio,Cardiovascular,18.79,8.45,1.49,0-18,Male,450548,99.89,1.06,6.09,Vaccination,949.0,Yes,59.25,2500.0,6.19,36841.0,0.81,30.27 +44113,Japan,2016,Hypertension,Cardiovascular,9.32,4.3,5.21,0-18,Other,114892,57.29,1.38,2.01,Therapy,32511.0,No,94.19,2080.0,8.23,86292.0,0.65,89.22 +44123,Australia,2012,Alzheimer's Disease,Autoimmune,5.91,4.48,9.02,0-18,Female,942913,99.24,0.53,8.22,Surgery,4756.0,No,77.78,3087.0,5.8,544.0,0.8,28.17 +44124,India,2007,Leprosy,Metabolic,11.21,14.09,0.83,0-18,Female,633388,62.23,2.61,3.28,Medication,46379.0,No,96.3,3505.0,7.49,61432.0,0.44,71.74 +44125,Mexico,2020,Tuberculosis,Autoimmune,1.74,9.36,0.42,61+,Female,402740,77.99,3.74,8.88,Therapy,6183.0,Yes,97.28,2448.0,6.54,1839.0,0.72,75.41 +44128,India,2009,Influenza,Chronic,19.14,3.47,6.27,19-35,Female,317507,61.21,1.29,5.76,Medication,16084.0,Yes,73.78,3500.0,9.33,92327.0,0.83,54.43 +44134,France,2013,Rabies,Bacterial,10.12,10.59,5.12,36-60,Female,259256,88.66,3.45,4.7,Therapy,44059.0,No,61.17,4631.0,1.36,76655.0,0.41,67.51 +44141,USA,2003,Malaria,Metabolic,7.12,11.42,5.66,19-35,Male,559089,66.23,1.83,6.67,Surgery,37505.0,Yes,53.54,851.0,3.51,97054.0,0.51,42.69 +44144,Turkey,2017,Cholera,Cardiovascular,13.2,10.93,7.43,36-60,Other,780431,69.98,2.44,5.87,Vaccination,44145.0,Yes,96.88,681.0,6.2,17882.0,0.53,70.27 +44155,Indonesia,2016,Cholera,Metabolic,17.52,7.1,9.02,0-18,Other,814715,96.75,2.73,0.55,Medication,33025.0,No,79.09,921.0,3.6,7417.0,0.46,72.5 +44159,Australia,2012,Rabies,Neurological,17.59,14.61,7.03,19-35,Female,97087,66.14,1.46,3.97,Surgery,45502.0,No,60.21,1992.0,9.97,80581.0,0.82,79.62 +44160,Italy,2022,Polio,Genetic,11.35,5.82,1.9,61+,Male,372915,57.7,2.75,5.88,Surgery,40747.0,No,84.21,752.0,2.47,14071.0,0.64,76.1 +44166,Turkey,2008,Polio,Infectious,2.04,14.28,1.88,0-18,Female,391178,77.0,1.46,2.42,Surgery,5493.0,No,60.98,2247.0,3.27,72731.0,0.89,42.16 +44171,Turkey,2019,Zika,Autoimmune,19.2,10.49,4.91,36-60,Other,549343,64.96,2.97,0.94,Vaccination,18370.0,No,85.37,2811.0,6.45,56852.0,0.63,74.86 +44175,South Africa,2006,COVID-19,Autoimmune,1.29,10.45,3.37,0-18,Male,92907,59.42,3.89,7.06,Therapy,13754.0,Yes,83.51,20.0,7.86,12285.0,0.58,79.66 +44185,UK,2000,HIV/AIDS,Neurological,3.05,9.03,7.38,0-18,Other,635981,94.36,3.96,9.24,Surgery,34480.0,No,97.47,65.0,6.75,48944.0,0.71,78.38 +44191,UK,2000,Cholera,Parasitic,0.89,5.1,1.45,36-60,Male,587099,64.75,3.46,1.61,Vaccination,19772.0,Yes,61.31,2745.0,5.24,66557.0,0.69,83.13 +44196,Australia,2017,Ebola,Viral,8.91,7.57,8.51,19-35,Other,545736,77.58,3.88,8.22,Medication,6446.0,No,98.04,3532.0,0.05,40141.0,0.73,78.12 +44206,Argentina,2018,Asthma,Autoimmune,10.75,1.58,7.1,0-18,Female,610088,51.85,1.28,2.36,Vaccination,36964.0,No,67.04,4485.0,6.64,74382.0,0.59,48.05 +44209,Italy,2022,COVID-19,Bacterial,1.59,4.76,9.83,0-18,Other,819716,84.51,4.94,8.81,Therapy,28992.0,Yes,76.9,480.0,2.4,33911.0,0.43,26.13 +44210,Brazil,2012,Polio,Autoimmune,2.45,8.2,7.35,0-18,Female,634107,77.75,1.04,3.45,Medication,22990.0,No,53.07,316.0,3.38,4232.0,0.66,62.41 +44211,Mexico,2018,Asthma,Autoimmune,18.8,12.11,8.01,61+,Other,552177,54.55,1.94,9.47,Therapy,22080.0,No,80.33,598.0,2.29,95165.0,0.42,71.6 +44222,India,2020,Leprosy,Neurological,13.92,9.99,1.16,19-35,Other,704051,71.79,4.41,7.61,Therapy,4662.0,No,77.4,1621.0,2.93,95358.0,0.5,43.02 +44223,Mexico,2022,Dengue,Bacterial,10.15,13.87,4.89,19-35,Male,807351,77.65,2.8,6.71,Therapy,38408.0,Yes,90.69,151.0,1.71,7824.0,0.74,32.37 +44230,Germany,2014,Malaria,Bacterial,17.6,3.69,8.23,36-60,Female,415455,75.89,1.16,8.43,Therapy,8824.0,Yes,69.0,4977.0,7.48,86871.0,0.68,68.14 +44236,Argentina,2003,Zika,Bacterial,0.34,10.11,9.76,0-18,Female,750195,85.54,3.3,4.98,Medication,6594.0,Yes,68.49,205.0,2.82,35079.0,0.48,57.35 +44238,Germany,2001,Hepatitis,Neurological,18.11,6.43,4.9,0-18,Other,260586,57.31,1.83,7.22,Therapy,8176.0,No,81.59,2539.0,1.55,75730.0,0.59,76.72 +44258,China,2009,Rabies,Chronic,5.6,6.11,9.68,36-60,Female,944047,92.17,0.57,4.45,Medication,18482.0,Yes,82.24,1143.0,5.21,10514.0,0.42,67.86 +44285,India,2022,Cholera,Cardiovascular,16.21,14.07,3.71,61+,Male,244935,85.98,2.5,9.64,Medication,30156.0,Yes,83.49,3432.0,6.18,95915.0,0.46,79.28 +44288,Germany,2010,Parkinson's Disease,Bacterial,18.31,1.37,5.11,61+,Female,722927,79.35,4.98,7.75,Medication,6882.0,Yes,79.37,3031.0,2.72,85381.0,0.79,24.86 +44295,Nigeria,2006,Malaria,Autoimmune,14.0,3.74,3.51,0-18,Male,490942,80.76,3.8,2.77,Therapy,46544.0,No,73.56,2234.0,4.26,38251.0,0.85,81.9 +44296,Japan,2018,Dengue,Metabolic,16.24,2.04,0.83,0-18,Male,32096,86.86,4.22,9.62,Therapy,31588.0,Yes,73.18,2726.0,3.98,47889.0,0.49,59.48 +44297,Argentina,2022,HIV/AIDS,Bacterial,12.82,9.69,4.74,0-18,Female,818205,66.66,3.52,7.61,Medication,36561.0,No,72.65,682.0,4.63,53561.0,0.65,84.8 +44301,Turkey,2021,Polio,Metabolic,3.3,14.49,1.14,19-35,Other,683768,84.64,1.22,6.62,Surgery,16253.0,No,68.34,4257.0,9.06,1948.0,0.49,45.18 +44312,South Korea,2008,Dengue,Infectious,18.6,4.35,4.02,0-18,Female,391665,98.93,4.54,6.03,Surgery,10264.0,Yes,91.04,1347.0,0.36,92307.0,0.62,55.15 +44320,South Korea,2015,COVID-19,Metabolic,16.11,14.39,7.58,19-35,Male,683758,60.74,2.22,7.01,Vaccination,5681.0,No,58.35,3504.0,3.99,49567.0,0.88,61.38 +44332,USA,2022,Alzheimer's Disease,Viral,8.67,13.02,3.75,0-18,Male,377618,73.85,1.52,3.93,Therapy,19117.0,Yes,83.33,2569.0,9.54,15694.0,0.76,82.93 +44333,USA,2008,Rabies,Bacterial,2.97,0.75,6.58,61+,Other,583315,90.83,2.85,0.53,Therapy,33490.0,Yes,89.86,2264.0,6.45,53818.0,0.68,38.95 +44335,South Korea,2004,Measles,Metabolic,16.74,4.5,3.13,36-60,Male,852490,99.15,2.77,5.55,Vaccination,4891.0,Yes,53.09,1527.0,7.69,42186.0,0.53,61.01 +44337,Indonesia,2018,Cancer,Neurological,14.82,1.06,8.34,0-18,Other,421166,54.23,0.98,7.96,Surgery,36249.0,No,88.68,1354.0,9.05,35554.0,0.65,82.12 +44346,Australia,2012,Hypertension,Respiratory,8.93,2.45,9.24,0-18,Male,689984,52.89,4.51,1.92,Therapy,35042.0,Yes,57.44,1544.0,1.31,26051.0,0.73,81.51 +44350,Russia,2007,Leprosy,Parasitic,7.3,14.74,9.46,19-35,Female,230178,54.26,4.69,9.23,Therapy,3445.0,No,60.93,612.0,8.24,62718.0,0.43,36.07 +44354,Canada,2021,Cancer,Metabolic,17.63,1.95,0.77,61+,Female,391263,79.44,1.92,8.38,Vaccination,11372.0,Yes,71.47,4606.0,7.16,61530.0,0.49,44.57 +44356,Italy,2014,COVID-19,Chronic,5.01,10.54,6.49,0-18,Other,389946,60.42,4.84,8.43,Vaccination,14410.0,No,71.3,3251.0,3.52,5671.0,0.6,39.24 +44359,Mexico,2006,Rabies,Viral,5.47,1.2,6.02,36-60,Other,994639,68.61,3.59,3.03,Medication,34070.0,Yes,58.37,1484.0,9.4,32607.0,0.44,88.53 +44362,Indonesia,2016,Measles,Cardiovascular,1.95,6.27,2.34,19-35,Other,783152,54.31,0.51,6.33,Vaccination,13219.0,Yes,64.44,218.0,0.82,53110.0,0.89,72.99 +44367,Australia,2003,Hepatitis,Chronic,0.72,4.42,6.58,0-18,Other,507993,96.95,4.99,9.86,Medication,20590.0,No,61.09,4954.0,7.17,43396.0,0.77,49.67 +44369,Australia,2001,Hypertension,Bacterial,6.73,9.07,8.61,0-18,Male,648192,82.17,2.79,8.66,Surgery,36839.0,Yes,74.77,3925.0,6.14,93134.0,0.53,68.84 +44370,Germany,2009,Dengue,Chronic,16.35,5.59,2.12,19-35,Other,361072,61.45,1.2,3.71,Medication,9485.0,No,83.64,2464.0,3.58,13120.0,0.82,39.06 +44371,Russia,2015,Diabetes,Infectious,0.33,1.98,8.73,36-60,Male,320602,91.96,2.76,4.95,Medication,18503.0,Yes,61.71,2124.0,0.46,84799.0,0.61,37.99 +44373,South Korea,2016,Rabies,Neurological,18.13,14.85,1.26,61+,Male,363748,93.53,4.31,2.17,Medication,29720.0,No,58.17,1339.0,4.64,27173.0,0.78,25.62 +44381,Russia,2001,HIV/AIDS,Neurological,14.68,8.35,2.17,19-35,Other,486534,85.33,1.88,2.16,Medication,13536.0,No,53.63,2553.0,9.35,62298.0,0.65,50.44 +44382,Indonesia,2019,COVID-19,Bacterial,0.91,14.38,2.64,36-60,Male,164483,99.43,1.4,1.73,Vaccination,14413.0,Yes,60.63,979.0,4.94,42769.0,0.85,86.22 +44390,Saudi Arabia,2022,Malaria,Metabolic,19.63,13.46,6.39,19-35,Female,352420,92.32,0.91,6.79,Vaccination,5188.0,Yes,75.02,30.0,9.55,86835.0,0.43,52.13 +44392,Italy,2008,Ebola,Bacterial,2.09,5.05,5.15,36-60,Other,210390,66.24,2.72,8.8,Surgery,39047.0,Yes,83.77,2578.0,0.56,10318.0,0.66,69.11 +44395,Turkey,2004,Ebola,Neurological,11.0,8.11,2.85,19-35,Female,238973,65.24,4.32,9.97,Medication,37705.0,Yes,63.39,3921.0,2.75,97226.0,0.9,37.8 +44396,Nigeria,2015,Leprosy,Chronic,12.07,2.89,6.88,0-18,Male,874391,86.91,3.67,9.54,Medication,49968.0,Yes,77.99,4481.0,6.37,22626.0,0.74,44.68 +44399,UK,2022,Diabetes,Chronic,12.57,8.28,5.39,36-60,Other,820304,54.84,4.16,4.52,Medication,2057.0,Yes,54.01,2893.0,2.62,11566.0,0.85,65.65 +44403,South Korea,2023,Ebola,Parasitic,17.08,11.64,5.47,0-18,Other,352686,91.19,2.09,0.83,Vaccination,36533.0,No,85.65,2521.0,4.26,39162.0,0.77,58.89 +44404,Argentina,2018,Cancer,Respiratory,15.16,1.04,5.5,0-18,Male,795534,57.18,2.14,7.73,Medication,37055.0,No,93.52,1638.0,1.52,41083.0,0.69,74.17 +44412,Canada,2002,Cancer,Chronic,1.09,4.45,0.96,36-60,Male,154467,53.66,0.68,4.55,Surgery,2046.0,No,72.54,2431.0,2.3,52375.0,0.82,83.08 +44414,India,2017,Asthma,Parasitic,16.3,7.38,1.55,36-60,Other,496159,71.27,0.81,8.52,Vaccination,17609.0,Yes,61.9,415.0,4.55,27694.0,0.63,45.73 +44422,Saudi Arabia,2014,Hepatitis,Viral,17.76,8.02,9.88,19-35,Male,352764,53.88,1.75,6.48,Vaccination,30305.0,No,60.75,3567.0,9.82,90458.0,0.71,73.66 +44423,Turkey,2022,Malaria,Parasitic,14.73,1.7,5.93,61+,Female,310889,51.9,2.79,1.15,Surgery,32705.0,Yes,67.02,59.0,2.34,54141.0,0.62,84.89 +44427,Turkey,2006,Cancer,Chronic,9.46,14.5,5.36,19-35,Other,809046,66.24,2.04,2.45,Therapy,14094.0,Yes,92.22,2427.0,4.92,98718.0,0.78,56.02 +44430,Argentina,2009,Asthma,Bacterial,7.7,13.57,7.54,61+,Female,227182,72.56,2.56,2.88,Therapy,31517.0,No,76.43,1321.0,6.89,97253.0,0.42,22.13 +44444,USA,2022,Polio,Infectious,17.33,13.07,4.44,19-35,Male,218304,66.63,3.96,1.26,Surgery,24241.0,No,52.01,2042.0,8.87,91883.0,0.6,84.65 +44456,USA,2010,Polio,Autoimmune,13.85,1.01,1.33,61+,Other,502101,95.73,3.98,6.5,Vaccination,8304.0,No,94.62,1507.0,0.67,9403.0,0.79,25.08 +44457,South Africa,2008,HIV/AIDS,Infectious,13.64,6.43,0.77,0-18,Other,396467,69.95,4.14,0.96,Vaccination,42689.0,No,84.49,2067.0,2.92,54487.0,0.89,65.28 +44467,Japan,2021,Polio,Viral,3.25,6.08,0.89,19-35,Other,757152,60.53,2.12,1.66,Surgery,16233.0,No,89.11,3899.0,1.12,87528.0,0.44,50.95 +44471,South Korea,2008,Cancer,Respiratory,13.02,4.1,9.23,0-18,Other,897165,67.65,3.57,7.99,Therapy,40670.0,No,93.13,981.0,3.75,69508.0,0.77,25.21 +44476,Italy,2019,Leprosy,Cardiovascular,14.02,6.66,8.29,0-18,Male,596121,50.11,3.36,1.14,Medication,6208.0,No,81.38,3878.0,3.92,14052.0,0.79,35.43 +44480,UK,2005,Cholera,Viral,11.34,10.4,5.79,61+,Male,546137,96.06,1.49,5.48,Therapy,34642.0,No,71.89,3124.0,2.84,22038.0,0.84,60.56 +44483,Brazil,2019,Cholera,Neurological,13.57,2.84,8.56,19-35,Female,737781,88.59,4.39,2.86,Vaccination,7788.0,Yes,69.47,1249.0,9.56,50230.0,0.69,88.14 +44485,USA,2005,Asthma,Genetic,1.59,14.17,5.84,61+,Male,77602,74.79,2.63,7.17,Surgery,39885.0,Yes,88.04,1996.0,7.19,61972.0,0.85,21.98 +44486,Indonesia,2003,Asthma,Cardiovascular,3.12,5.66,0.15,19-35,Male,818285,68.57,3.13,9.43,Therapy,42601.0,No,55.96,1188.0,6.14,60220.0,0.48,46.4 +44499,USA,2005,Hepatitis,Parasitic,18.35,9.86,4.69,36-60,Female,229551,82.12,1.92,5.25,Therapy,40398.0,Yes,78.53,691.0,6.0,35091.0,0.77,79.33 +44502,India,2008,Malaria,Chronic,9.84,9.72,6.5,61+,Male,882608,89.37,3.58,1.97,Medication,36625.0,Yes,50.21,1676.0,1.7,85196.0,0.6,52.75 +44503,Australia,2020,Cholera,Respiratory,19.44,7.61,5.34,36-60,Other,109907,58.13,0.82,7.83,Surgery,21979.0,Yes,75.56,3365.0,6.44,6690.0,0.56,51.55 +44512,South Africa,2019,Polio,Bacterial,17.71,9.78,3.9,61+,Other,662879,78.04,3.78,7.19,Vaccination,15964.0,No,62.19,2489.0,4.43,90860.0,0.87,71.46 +44514,Canada,2008,Diabetes,Bacterial,5.62,2.5,6.64,0-18,Female,684469,53.88,2.94,0.88,Vaccination,2318.0,Yes,63.33,2764.0,2.97,57166.0,0.7,64.47 +44517,France,2011,Tuberculosis,Metabolic,6.32,3.31,7.2,61+,Female,955911,68.3,3.57,4.59,Vaccination,43267.0,No,81.86,4528.0,7.2,91410.0,0.51,21.03 +44526,China,2019,Tuberculosis,Respiratory,7.87,11.78,3.42,36-60,Other,456733,75.28,0.66,9.17,Surgery,5788.0,Yes,58.3,1367.0,4.29,45076.0,0.79,26.52 +44529,Russia,2004,Influenza,Genetic,4.1,11.72,4.08,61+,Female,524298,90.47,0.74,4.13,Medication,48079.0,Yes,82.61,3522.0,1.94,19480.0,0.87,46.03 +44535,Australia,2019,Tuberculosis,Infectious,11.67,14.38,5.45,61+,Other,331420,51.68,1.28,7.62,Therapy,36226.0,No,64.37,3303.0,3.09,88478.0,0.63,34.24 +44540,India,2020,Diabetes,Bacterial,1.54,4.06,4.0,36-60,Male,533844,75.01,3.9,9.51,Therapy,7163.0,No,82.56,3612.0,8.62,89411.0,0.43,25.78 +44571,Brazil,2023,Parkinson's Disease,Bacterial,19.22,6.57,4.8,36-60,Male,249080,97.95,3.44,5.71,Surgery,26246.0,No,76.42,1794.0,4.15,32915.0,0.63,67.1 +44574,China,2009,Cancer,Autoimmune,14.14,10.54,6.83,0-18,Other,178028,71.05,1.67,3.29,Vaccination,31204.0,Yes,78.24,4085.0,2.87,11601.0,0.53,62.99 +44575,Saudi Arabia,2007,Cancer,Infectious,12.08,7.11,9.78,61+,Female,998261,52.99,2.62,3.59,Therapy,4523.0,Yes,71.28,3848.0,9.96,40219.0,0.78,60.57 +44584,South Korea,2013,Influenza,Metabolic,18.92,13.43,2.83,0-18,Other,599779,69.54,3.51,1.0,Vaccination,21667.0,Yes,82.58,3858.0,5.37,74454.0,0.65,46.52 +44591,Saudi Arabia,2009,Asthma,Genetic,8.78,9.6,2.32,19-35,Female,910328,58.66,3.96,2.56,Medication,49788.0,No,96.38,518.0,1.18,13534.0,0.42,83.02 +44598,UK,2006,Ebola,Parasitic,13.05,2.61,5.12,0-18,Other,796225,54.66,1.06,6.83,Vaccination,17418.0,Yes,87.91,3304.0,2.54,9078.0,0.49,62.03 +44617,Italy,2002,Dengue,Autoimmune,19.94,2.24,2.58,19-35,Female,703188,95.88,0.63,3.08,Therapy,32103.0,Yes,91.11,399.0,6.95,19335.0,0.58,31.65 +44623,South Korea,2014,COVID-19,Chronic,0.97,14.45,8.66,0-18,Female,793920,58.57,3.25,6.84,Medication,42929.0,Yes,73.11,2771.0,3.02,38423.0,0.48,69.18 +44625,Australia,2017,Diabetes,Genetic,18.95,14.84,6.64,19-35,Male,962266,97.13,1.6,2.71,Medication,26170.0,No,68.12,2031.0,2.1,53661.0,0.53,28.26 +44626,France,2018,Cholera,Neurological,11.21,0.39,8.46,19-35,Other,624586,93.56,0.65,5.4,Vaccination,2642.0,No,71.93,3733.0,4.51,9824.0,0.64,82.33 +44630,Argentina,2024,Asthma,Respiratory,9.81,3.31,9.35,19-35,Other,384451,65.28,1.66,9.54,Medication,21963.0,Yes,61.08,3666.0,8.04,58066.0,0.74,81.83 +44632,South Korea,2011,HIV/AIDS,Genetic,10.29,12.45,8.35,36-60,Other,960201,73.31,1.35,2.72,Surgery,35043.0,Yes,80.78,595.0,3.57,30588.0,0.4,37.32 +44643,Japan,2011,Ebola,Infectious,5.78,12.66,6.16,61+,Female,312642,73.91,4.95,7.8,Vaccination,47777.0,No,58.68,684.0,9.12,87758.0,0.77,27.86 +44644,Nigeria,2013,Malaria,Metabolic,0.4,5.07,5.02,19-35,Female,248681,95.71,1.31,6.21,Medication,35574.0,No,52.93,3642.0,2.43,18264.0,0.55,32.21 +44653,Argentina,2004,Cancer,Viral,14.04,3.61,5.79,36-60,Male,855532,66.67,3.12,0.73,Therapy,16487.0,No,51.11,3116.0,9.49,65378.0,0.79,77.26 +44654,South Korea,2020,Leprosy,Autoimmune,18.34,0.34,7.09,0-18,Male,439012,91.73,4.79,3.91,Medication,42955.0,Yes,90.07,4741.0,3.98,72574.0,0.57,76.42 +44663,Russia,2008,Measles,Respiratory,0.93,7.54,4.93,36-60,Female,182310,82.87,4.97,6.15,Medication,24235.0,Yes,64.68,2339.0,7.06,74730.0,0.41,26.56 +44664,Japan,2005,Parkinson's Disease,Cardiovascular,16.46,6.65,8.19,19-35,Female,313094,91.78,1.62,7.16,Therapy,29243.0,Yes,89.3,2074.0,6.72,33155.0,0.43,82.15 +44666,Nigeria,2015,Ebola,Chronic,4.81,14.53,8.71,36-60,Male,548961,67.95,4.88,0.76,Medication,43223.0,Yes,79.13,4035.0,7.87,28329.0,0.5,20.52 +44679,USA,2013,Polio,Infectious,18.15,7.76,3.93,61+,Female,139364,89.36,4.67,3.78,Medication,26160.0,Yes,86.3,1580.0,1.27,51669.0,0.42,88.2 +44684,Indonesia,2010,Cancer,Cardiovascular,15.33,5.45,3.92,61+,Other,616169,50.42,4.07,5.8,Therapy,27448.0,No,93.92,347.0,1.03,74185.0,0.75,82.36 +44697,Australia,2003,Measles,Chronic,1.5,4.23,2.4,36-60,Male,388304,78.01,1.09,1.9,Surgery,1739.0,Yes,63.21,1698.0,3.39,27385.0,0.77,54.58 +44700,Italy,2021,Diabetes,Cardiovascular,17.87,6.71,6.77,61+,Male,377617,70.23,4.7,0.97,Therapy,18389.0,No,63.57,2217.0,5.22,42430.0,0.5,27.02 +44705,Argentina,2013,Ebola,Respiratory,13.93,7.34,4.47,19-35,Other,120572,99.38,2.12,2.64,Vaccination,18222.0,No,70.56,4931.0,2.38,93273.0,0.5,32.91 +44709,Mexico,2007,Hepatitis,Parasitic,8.83,7.17,7.92,36-60,Female,356828,67.04,1.51,2.93,Medication,49867.0,Yes,52.09,3335.0,9.62,70535.0,0.53,71.12 +44721,Australia,2002,Ebola,Chronic,14.03,3.97,4.43,19-35,Other,553857,94.66,1.22,2.67,Vaccination,45390.0,Yes,86.4,1002.0,7.67,33638.0,0.41,20.3 +44723,Saudi Arabia,2021,Alzheimer's Disease,Infectious,14.47,8.95,5.91,36-60,Other,750206,51.57,4.48,5.54,Medication,29483.0,Yes,84.21,4125.0,9.59,13445.0,0.88,49.6 +44724,Germany,2009,Cholera,Autoimmune,18.26,14.33,5.3,61+,Female,998610,79.74,1.91,3.03,Medication,44218.0,No,61.66,2111.0,8.12,22579.0,0.73,65.15 +44737,Saudi Arabia,2001,Diabetes,Metabolic,15.6,3.81,0.3,0-18,Other,757333,55.52,4.34,3.38,Vaccination,1781.0,No,90.48,2674.0,9.41,79372.0,0.54,71.11 +44740,Saudi Arabia,2002,HIV/AIDS,Neurological,5.79,1.8,9.79,36-60,Female,351031,95.45,1.26,8.03,Therapy,16941.0,Yes,68.39,3077.0,1.42,37850.0,0.81,65.25 +44768,UK,2016,Rabies,Cardiovascular,2.15,9.23,6.16,0-18,Male,177523,93.44,1.8,8.54,Surgery,25251.0,No,96.95,3162.0,7.72,73280.0,0.55,35.73 +44784,Turkey,2017,Measles,Viral,10.95,1.94,1.56,0-18,Female,983753,92.08,4.51,7.53,Medication,1536.0,Yes,85.26,1756.0,0.86,77112.0,0.43,76.39 +44785,Argentina,2014,Dengue,Metabolic,15.5,10.57,9.68,61+,Male,172652,93.35,2.06,5.42,Therapy,18981.0,No,79.93,4948.0,4.21,78368.0,0.58,20.87 +44816,Mexico,2021,Asthma,Genetic,4.03,7.9,4.26,61+,Female,34281,82.73,4.82,6.97,Therapy,32471.0,No,89.6,1073.0,9.85,11255.0,0.75,42.28 +44820,Indonesia,2024,HIV/AIDS,Neurological,5.6,5.18,4.36,36-60,Female,191342,87.58,1.27,1.59,Surgery,21612.0,No,65.55,3847.0,6.95,64523.0,0.75,73.5 +44821,Japan,2008,Ebola,Parasitic,1.5,9.86,5.29,19-35,Female,719507,50.4,3.44,7.61,Therapy,27250.0,Yes,77.61,3946.0,9.32,26031.0,0.73,34.14 +44822,Japan,2002,Dengue,Infectious,10.47,3.37,6.76,61+,Male,299066,50.15,1.11,5.81,Therapy,13586.0,No,67.56,4219.0,8.39,50468.0,0.44,70.86 +44823,Indonesia,2014,Hepatitis,Bacterial,10.68,7.47,3.49,61+,Other,188470,70.37,0.72,5.78,Therapy,14395.0,Yes,59.98,1767.0,5.64,7031.0,0.55,35.39 +44826,South Africa,2006,HIV/AIDS,Neurological,19.53,13.27,9.42,0-18,Female,627594,97.64,1.75,3.69,Surgery,47629.0,No,70.01,3909.0,9.09,31573.0,0.76,50.29 +44831,Australia,2013,Influenza,Bacterial,18.1,13.91,6.13,61+,Other,151434,93.89,3.99,2.82,Surgery,37285.0,Yes,64.35,1926.0,5.67,53534.0,0.51,39.54 +44836,Italy,2009,Hepatitis,Bacterial,19.42,9.76,4.01,36-60,Other,77763,67.56,2.08,8.21,Medication,8393.0,No,95.56,4009.0,2.98,28662.0,0.75,40.97 +44841,Argentina,2017,Cancer,Cardiovascular,18.22,10.74,0.27,61+,Other,713692,89.09,4.99,8.33,Surgery,49037.0,Yes,58.32,1877.0,7.64,68525.0,0.68,25.46 +44854,Germany,2021,Malaria,Respiratory,1.38,9.53,2.85,19-35,Female,68872,69.35,1.8,1.44,Medication,13806.0,No,78.03,869.0,3.4,63182.0,0.76,67.99 +44855,Brazil,2016,Measles,Autoimmune,8.78,7.52,8.38,0-18,Other,742766,94.22,1.15,4.92,Surgery,44140.0,No,71.38,3842.0,2.22,12356.0,0.8,45.68 +44858,South Africa,2019,Influenza,Parasitic,4.26,5.66,9.59,36-60,Other,265778,74.01,3.14,3.3,Therapy,23954.0,No,54.98,2427.0,2.69,83954.0,0.8,21.12 +44859,Mexico,2014,Rabies,Cardiovascular,10.21,5.47,6.86,36-60,Female,808166,89.2,3.02,1.35,Therapy,934.0,Yes,85.27,4365.0,4.34,88238.0,0.48,51.28 +44860,Australia,2003,Leprosy,Genetic,10.9,3.62,0.88,36-60,Female,56504,83.37,3.25,7.62,Medication,3165.0,No,60.1,1041.0,9.23,47134.0,0.47,78.55 +44862,China,2021,Zika,Genetic,3.02,3.98,1.34,61+,Female,82923,98.03,4.8,9.63,Surgery,25908.0,No,80.73,2016.0,9.66,51197.0,0.64,87.9 +44878,Indonesia,2007,COVID-19,Metabolic,1.55,12.98,6.58,36-60,Male,819204,57.45,4.56,8.14,Vaccination,41238.0,No,79.9,1641.0,2.2,49050.0,0.6,69.79 +44879,Japan,2001,Ebola,Neurological,17.06,10.58,7.82,61+,Other,305758,79.55,4.53,9.47,Vaccination,20584.0,Yes,85.79,4265.0,1.25,7002.0,0.8,84.18 +44884,Russia,2003,HIV/AIDS,Genetic,18.85,14.93,2.47,61+,Male,452523,70.92,2.08,5.93,Medication,40149.0,No,56.37,499.0,6.99,76673.0,0.62,82.77 +44885,Argentina,2014,Measles,Genetic,7.92,12.33,4.98,61+,Female,549665,85.59,4.51,9.12,Surgery,630.0,Yes,87.05,4292.0,6.72,59948.0,0.82,34.1 +44893,Indonesia,2010,Influenza,Bacterial,18.82,14.74,2.61,36-60,Male,271241,58.65,3.73,7.98,Surgery,44540.0,No,87.2,2464.0,7.63,15544.0,0.66,84.96 +44903,Indonesia,2007,Leprosy,Neurological,3.79,8.41,6.55,0-18,Male,265679,52.11,1.52,5.99,Vaccination,21772.0,No,81.81,111.0,4.44,27742.0,0.54,40.93 +44908,India,2015,Leprosy,Autoimmune,6.1,14.93,4.65,19-35,Other,539168,76.53,1.63,8.83,Medication,5594.0,No,92.57,1819.0,3.22,44198.0,0.88,39.78 +44910,Germany,2007,Ebola,Infectious,5.82,14.35,7.08,0-18,Other,528583,87.3,4.08,3.33,Vaccination,17550.0,No,53.44,1435.0,1.18,92264.0,0.59,32.59 +44911,Japan,2018,Cancer,Neurological,3.2,1.43,4.6,0-18,Other,257362,82.5,0.51,1.65,Vaccination,28178.0,No,86.75,3753.0,3.99,87279.0,0.84,85.49 +44912,India,2008,Alzheimer's Disease,Respiratory,19.9,8.0,4.23,19-35,Female,224208,76.85,3.28,9.08,Medication,10420.0,Yes,58.3,4751.0,4.11,4619.0,0.64,85.6 +44921,France,2000,Dengue,Genetic,9.99,8.78,5.03,36-60,Female,784522,70.85,0.94,3.34,Vaccination,21561.0,Yes,93.78,4217.0,1.29,77739.0,0.4,44.9 +44926,France,2016,Tuberculosis,Autoimmune,9.65,11.27,3.95,36-60,Male,559322,81.89,4.12,3.9,Surgery,30324.0,Yes,93.5,4207.0,6.91,30188.0,0.61,41.98 +44930,South Korea,2011,Measles,Bacterial,19.75,4.89,8.99,61+,Other,206368,82.04,4.85,5.61,Surgery,5074.0,No,92.16,4902.0,9.94,8195.0,0.64,32.73 +44937,Germany,2019,Measles,Genetic,5.86,8.07,8.89,61+,Female,443229,97.21,0.68,9.53,Surgery,4998.0,Yes,65.34,4832.0,5.37,69395.0,0.72,31.74 +44946,Canada,2004,Rabies,Respiratory,17.65,0.34,8.86,0-18,Male,544293,97.34,3.09,2.28,Medication,28447.0,No,98.28,4606.0,7.39,98599.0,0.69,58.38 +44947,USA,2020,Diabetes,Viral,15.38,0.45,3.75,19-35,Male,331749,58.66,1.33,1.98,Therapy,45641.0,No,74.89,4797.0,6.89,37284.0,0.46,46.48 +44950,Argentina,2022,Alzheimer's Disease,Parasitic,12.78,13.54,6.6,36-60,Male,812148,53.31,3.71,5.69,Therapy,9809.0,No,89.32,3549.0,0.2,47315.0,0.61,42.62 +44957,Japan,2010,Tuberculosis,Viral,10.64,4.93,0.89,61+,Other,371156,53.32,1.84,6.57,Vaccination,24404.0,No,63.89,4695.0,9.5,76307.0,0.62,36.0 +44961,France,2009,Leprosy,Respiratory,14.8,8.78,2.66,19-35,Other,52639,75.49,1.19,9.63,Medication,7312.0,Yes,95.36,4029.0,3.9,95855.0,0.85,81.93 +44968,Japan,2016,Hepatitis,Neurological,5.34,0.3,0.21,61+,Male,302372,96.67,0.59,1.86,Surgery,29498.0,No,89.59,3181.0,5.88,25143.0,0.89,85.89 +44972,France,2005,Influenza,Bacterial,0.59,12.57,1.02,61+,Male,804772,52.57,4.0,0.58,Vaccination,43626.0,Yes,77.16,3418.0,1.13,20951.0,0.75,79.43 +44977,USA,2018,HIV/AIDS,Viral,19.72,2.35,6.79,36-60,Other,446536,84.7,4.0,5.52,Vaccination,36363.0,No,77.9,306.0,3.27,51105.0,0.79,78.98 +44983,Germany,2004,Malaria,Respiratory,19.95,4.29,4.06,0-18,Other,975160,93.79,3.15,9.16,Surgery,31696.0,No,57.13,3089.0,5.34,7248.0,0.43,82.5 +44989,South Africa,2010,Leprosy,Autoimmune,8.05,14.38,0.49,61+,Male,213552,56.08,3.36,3.34,Surgery,13913.0,No,63.3,4947.0,8.89,9597.0,0.47,59.02 +44996,Argentina,2006,Polio,Infectious,16.01,10.12,1.34,36-60,Female,254886,76.87,4.27,8.27,Surgery,3415.0,No,84.18,814.0,3.76,84476.0,0.41,39.72 +44997,South Korea,2019,Parkinson's Disease,Parasitic,14.21,13.12,5.66,61+,Male,294106,63.64,3.33,6.33,Therapy,38180.0,Yes,83.01,4101.0,6.92,73065.0,0.73,21.93 +45003,Russia,2014,Hepatitis,Viral,19.84,12.49,5.49,36-60,Other,216380,60.35,4.09,1.6,Medication,3770.0,Yes,60.04,2830.0,6.55,1377.0,0.69,83.43 +45010,Brazil,2013,Cholera,Respiratory,7.17,9.34,6.21,19-35,Male,986787,74.22,3.95,1.79,Vaccination,42045.0,Yes,64.73,4976.0,2.32,40658.0,0.71,79.99 +45012,South Korea,2015,Diabetes,Chronic,10.25,11.6,7.25,0-18,Male,722513,65.93,4.57,5.32,Medication,21137.0,Yes,67.32,4511.0,2.79,98288.0,0.57,63.15 +45017,Australia,2014,Diabetes,Bacterial,7.51,12.12,1.49,0-18,Female,85922,99.09,1.48,8.79,Surgery,45801.0,Yes,55.32,1794.0,2.44,45046.0,0.51,65.66 +45020,Canada,2011,HIV/AIDS,Cardiovascular,6.8,1.85,4.9,19-35,Male,507597,85.44,2.83,4.52,Medication,38289.0,No,96.45,3175.0,9.33,51555.0,0.42,50.02 +45025,UK,2022,Influenza,Chronic,0.25,0.13,6.05,0-18,Other,554925,70.56,2.84,8.64,Therapy,39644.0,No,81.06,4393.0,0.74,5483.0,0.74,24.5 +45027,South Africa,2004,Diabetes,Parasitic,4.9,7.09,4.98,0-18,Other,802833,82.0,3.49,6.62,Surgery,29122.0,No,61.98,2212.0,7.57,64953.0,0.59,89.68 +45029,France,2023,Rabies,Parasitic,16.4,1.47,1.75,19-35,Female,445560,94.16,3.85,1.69,Therapy,30529.0,Yes,73.41,4976.0,8.54,97303.0,0.83,75.32 +45034,Mexico,2006,Zika,Bacterial,15.51,8.18,8.93,36-60,Female,837437,86.62,4.6,7.51,Therapy,27246.0,No,91.33,1527.0,6.18,28040.0,0.62,67.04 +45037,Germany,2002,Hypertension,Neurological,16.8,7.77,8.59,19-35,Male,103351,95.62,3.74,1.46,Medication,23295.0,Yes,84.02,1328.0,0.73,66984.0,0.71,41.45 +45042,Australia,2007,Rabies,Neurological,12.76,2.59,9.21,0-18,Female,882691,57.02,4.76,7.51,Surgery,47480.0,No,92.49,2268.0,2.57,87643.0,0.7,62.84 +45050,USA,2002,Ebola,Cardiovascular,9.71,6.75,9.26,19-35,Female,563645,54.66,4.65,4.15,Vaccination,14537.0,Yes,71.33,3489.0,9.56,47356.0,0.4,36.62 +45055,Russia,2016,Diabetes,Neurological,6.37,10.0,2.06,0-18,Male,19826,73.43,4.06,9.08,Surgery,49853.0,Yes,73.93,4644.0,3.81,38428.0,0.74,69.67 +45058,South Korea,2004,Influenza,Viral,8.29,11.35,4.88,0-18,Male,300616,79.39,2.39,1.08,Vaccination,18393.0,No,58.8,4281.0,5.19,60450.0,0.77,73.38 +45066,Saudi Arabia,2017,Tuberculosis,Parasitic,1.4,7.23,4.38,0-18,Female,248816,54.57,4.4,4.45,Vaccination,29357.0,Yes,60.43,1352.0,2.14,798.0,0.5,21.58 +45070,India,2017,Tuberculosis,Neurological,2.66,9.78,9.02,0-18,Other,643342,51.71,4.64,5.92,Medication,17427.0,No,85.97,2593.0,2.49,31224.0,0.68,71.18 +45075,South Africa,2011,Asthma,Viral,7.42,1.71,7.16,0-18,Female,231242,90.65,2.73,4.91,Medication,11086.0,Yes,57.19,4431.0,1.01,64800.0,0.79,38.22 +45079,China,2011,HIV/AIDS,Respiratory,17.39,10.87,7.94,19-35,Male,340189,66.84,3.06,0.9,Surgery,14939.0,Yes,56.75,1983.0,8.16,97503.0,0.7,65.28 +45081,USA,2013,Influenza,Autoimmune,1.29,1.65,9.1,0-18,Female,676657,70.19,3.05,4.99,Medication,12278.0,No,90.21,1460.0,0.53,57101.0,0.4,86.3 +45086,China,2019,HIV/AIDS,Viral,15.8,8.07,3.42,61+,Male,398841,96.13,1.85,1.82,Medication,29222.0,Yes,61.48,4180.0,6.7,78438.0,0.84,52.35 +45088,Argentina,2008,Malaria,Viral,2.44,5.16,8.69,19-35,Other,616084,92.66,3.12,5.28,Surgery,34784.0,No,95.28,69.0,4.79,3828.0,0.52,22.62 +45094,Australia,2024,COVID-19,Parasitic,1.94,7.86,6.94,36-60,Female,610911,73.48,1.53,3.18,Therapy,4027.0,No,60.96,3398.0,0.64,93195.0,0.7,51.8 +45096,Australia,2010,Diabetes,Neurological,10.29,10.15,4.63,19-35,Other,47976,80.93,2.88,6.16,Vaccination,38685.0,No,51.35,304.0,9.08,58119.0,0.62,89.38 +45106,South Korea,2007,Hepatitis,Parasitic,8.93,9.4,4.87,0-18,Other,84858,80.38,0.94,7.38,Surgery,14783.0,Yes,69.78,285.0,3.17,36193.0,0.52,33.63 +45136,Turkey,2005,Parkinson's Disease,Genetic,7.25,10.25,5.77,19-35,Other,212937,87.14,4.24,7.0,Therapy,49073.0,Yes,98.69,4410.0,4.59,40906.0,0.44,31.25 +45137,Nigeria,2008,Leprosy,Bacterial,4.17,5.11,5.78,0-18,Male,582548,53.6,2.75,8.1,Medication,3634.0,Yes,88.31,3093.0,3.67,8581.0,0.73,32.56 +45138,South Africa,2020,Polio,Infectious,10.14,12.71,6.11,19-35,Other,73243,73.45,3.03,3.59,Surgery,20847.0,No,78.19,2827.0,7.58,80057.0,0.53,79.95 +45146,Turkey,2011,Tuberculosis,Neurological,7.91,1.91,5.35,0-18,Other,515758,59.64,4.78,6.64,Medication,35004.0,No,58.34,480.0,8.37,24227.0,0.51,86.68 +45148,Germany,2024,HIV/AIDS,Autoimmune,3.41,12.28,8.08,19-35,Male,614749,60.51,1.49,3.48,Surgery,30825.0,No,50.04,3269.0,1.68,63932.0,0.6,67.97 +45149,Nigeria,2011,Parkinson's Disease,Neurological,14.39,4.12,7.55,0-18,Other,631321,57.16,1.76,4.79,Therapy,40478.0,No,53.5,3964.0,6.13,44621.0,0.83,76.35 +45151,Brazil,2013,Zika,Bacterial,9.78,9.97,5.84,36-60,Female,919151,62.92,1.8,4.62,Vaccination,32264.0,No,86.16,4385.0,6.89,693.0,0.82,66.14 +45158,UK,2007,Parkinson's Disease,Bacterial,14.15,2.89,3.41,36-60,Male,580322,91.33,3.57,4.63,Therapy,43352.0,Yes,82.79,367.0,4.32,28591.0,0.43,56.04 +45159,South Africa,2011,Asthma,Genetic,19.7,6.74,5.71,36-60,Male,948739,86.09,1.49,8.79,Surgery,49642.0,No,66.64,940.0,3.47,99713.0,0.62,79.35 +45165,South Korea,2012,HIV/AIDS,Autoimmune,11.38,5.91,9.34,36-60,Female,399191,91.26,2.16,3.21,Medication,8317.0,Yes,90.12,3050.0,2.97,7829.0,0.66,62.47 +45168,Mexico,2016,Leprosy,Chronic,4.85,13.9,8.94,61+,Other,894429,93.64,3.72,4.09,Medication,42166.0,No,93.93,1137.0,7.0,9231.0,0.84,64.91 +45171,France,2023,Influenza,Chronic,16.67,13.05,9.42,36-60,Female,241932,88.36,3.76,2.47,Surgery,6277.0,Yes,68.14,2885.0,4.8,86496.0,0.56,53.22 +45175,Nigeria,2023,Polio,Cardiovascular,1.25,9.83,4.11,0-18,Male,740510,92.11,4.5,5.62,Vaccination,18963.0,Yes,76.83,4169.0,1.45,40481.0,0.41,28.52 +45176,South Africa,2020,Measles,Respiratory,7.16,8.41,8.76,61+,Female,641798,54.64,2.86,9.8,Medication,10799.0,Yes,67.42,362.0,6.14,9200.0,0.44,56.55 +45180,South Africa,2009,Asthma,Cardiovascular,5.34,12.04,3.38,36-60,Other,793347,86.12,3.37,8.39,Vaccination,21629.0,Yes,50.02,3946.0,0.35,82476.0,0.53,76.33 +45181,Australia,2008,Leprosy,Metabolic,3.77,5.89,5.51,61+,Male,854753,87.24,1.98,7.09,Medication,9209.0,No,82.13,2648.0,2.54,27773.0,0.58,35.47 +45183,UK,2005,Zika,Parasitic,0.21,6.99,6.63,19-35,Other,693532,78.07,4.36,6.84,Therapy,20401.0,Yes,59.87,4552.0,5.86,84941.0,0.73,48.5 +45188,Saudi Arabia,2004,Alzheimer's Disease,Cardiovascular,7.38,1.65,1.27,19-35,Female,861320,69.62,4.23,3.55,Therapy,23941.0,No,80.51,3281.0,0.1,72370.0,0.72,37.24 +45191,China,2023,Diabetes,Cardiovascular,19.67,5.72,3.66,19-35,Female,74922,53.37,1.81,4.62,Surgery,25839.0,Yes,70.35,194.0,2.07,24767.0,0.43,22.83 +45193,India,2020,Measles,Neurological,6.63,8.54,1.55,61+,Male,524012,60.69,1.31,4.08,Medication,19031.0,Yes,77.65,919.0,9.27,51738.0,0.64,27.04 +45201,Saudi Arabia,2005,Polio,Chronic,6.68,7.54,4.85,36-60,Male,588418,89.03,3.87,1.63,Medication,16060.0,Yes,75.71,3870.0,4.37,5363.0,0.61,22.21 +45206,Australia,2018,Asthma,Cardiovascular,15.56,5.9,6.05,36-60,Female,211619,85.22,1.11,5.07,Surgery,28101.0,Yes,73.24,976.0,0.31,24721.0,0.69,71.64 +45212,South Korea,2005,COVID-19,Parasitic,8.83,3.85,9.37,36-60,Female,944447,60.32,4.47,2.28,Vaccination,25995.0,Yes,59.91,3178.0,1.02,31491.0,0.54,29.16 +45219,Nigeria,2004,Diabetes,Bacterial,1.33,9.8,5.27,0-18,Male,104522,81.87,4.03,0.65,Surgery,39731.0,Yes,81.19,371.0,6.55,72886.0,0.66,87.2 +45221,China,2009,Leprosy,Chronic,7.4,11.06,0.88,61+,Other,336468,83.64,4.27,1.96,Surgery,19876.0,Yes,58.33,2520.0,6.7,84554.0,0.5,45.71 +45226,Italy,2002,Diabetes,Neurological,1.87,11.23,9.25,61+,Female,597797,79.32,4.55,7.16,Therapy,29826.0,No,97.54,1013.0,4.63,81021.0,0.86,65.51 +45228,Russia,2003,Polio,Respiratory,8.98,5.12,6.61,36-60,Female,769651,82.38,0.83,8.39,Vaccination,16164.0,No,71.06,2466.0,7.89,25784.0,0.86,62.03 +45230,South Korea,2015,Zika,Respiratory,10.05,7.21,7.04,0-18,Other,466347,66.94,0.94,9.44,Therapy,38687.0,No,75.8,2981.0,9.46,71589.0,0.75,47.32 +45231,Japan,2023,Polio,Chronic,6.57,11.11,9.77,19-35,Male,208837,83.35,3.74,5.61,Surgery,26230.0,Yes,51.3,1918.0,3.17,53280.0,0.45,69.89 +45233,USA,2010,COVID-19,Cardiovascular,5.17,6.01,0.92,61+,Female,51910,75.22,2.35,3.45,Surgery,45755.0,Yes,77.18,820.0,9.19,1810.0,0.44,24.35 +45236,Saudi Arabia,2024,Parkinson's Disease,Genetic,11.32,12.47,0.11,61+,Male,827976,97.1,2.76,6.14,Surgery,17780.0,No,98.86,3756.0,6.44,2608.0,0.76,35.85 +45241,Russia,2013,Cholera,Neurological,10.68,6.91,6.05,61+,Male,651624,55.4,2.45,1.17,Surgery,38565.0,Yes,72.49,2004.0,0.82,71283.0,0.77,32.14 +45243,Canada,2001,HIV/AIDS,Cardiovascular,11.86,14.81,3.67,36-60,Female,964236,98.65,2.94,1.95,Therapy,1045.0,Yes,72.71,3817.0,5.58,80403.0,0.61,66.55 +45249,Japan,2011,Cholera,Infectious,0.55,3.01,1.02,19-35,Male,651853,59.49,4.39,1.98,Therapy,28869.0,Yes,60.3,3819.0,2.45,6682.0,0.67,26.18 +45251,Australia,2002,Asthma,Metabolic,18.54,1.72,7.63,19-35,Other,572131,70.63,4.33,0.56,Vaccination,43241.0,Yes,63.19,968.0,0.19,90128.0,0.69,63.92 +45255,Brazil,2000,Ebola,Cardiovascular,13.01,3.74,3.75,0-18,Female,561335,90.61,2.81,4.53,Medication,16922.0,No,76.96,558.0,4.38,19075.0,0.43,75.14 +45265,Italy,2007,Diabetes,Genetic,8.32,9.66,9.08,36-60,Female,662747,61.02,1.56,2.46,Vaccination,137.0,No,62.15,545.0,0.03,65048.0,0.58,75.83 +45267,Australia,2000,HIV/AIDS,Neurological,15.62,7.8,4.64,36-60,Female,954935,89.04,4.83,4.99,Surgery,5011.0,Yes,79.9,1642.0,3.44,8491.0,0.73,65.54 +45270,Germany,2005,Tuberculosis,Cardiovascular,11.61,0.26,7.05,19-35,Male,556798,99.16,1.0,2.45,Therapy,16148.0,Yes,67.48,4800.0,1.48,14483.0,0.83,73.47 +45271,Brazil,2006,COVID-19,Parasitic,3.45,0.68,3.31,61+,Female,253917,71.25,1.02,9.35,Vaccination,7009.0,No,87.05,2759.0,0.82,27929.0,0.55,85.32 +45281,Italy,2013,Hypertension,Autoimmune,18.5,3.62,9.94,19-35,Male,143449,90.93,2.41,7.47,Vaccination,5581.0,No,62.05,4431.0,4.58,70481.0,0.87,61.22 +45293,USA,2024,Asthma,Cardiovascular,7.21,8.77,0.37,0-18,Other,257023,54.8,2.28,7.52,Therapy,24680.0,Yes,56.41,1590.0,6.0,81490.0,0.63,29.93 +45305,Germany,2015,Zika,Metabolic,2.33,5.58,6.1,61+,Male,507104,72.28,2.88,9.48,Vaccination,30376.0,Yes,59.28,2390.0,1.35,83289.0,0.55,38.54 +45311,USA,2000,Leprosy,Metabolic,14.78,14.9,6.14,0-18,Other,922884,82.09,3.18,1.5,Surgery,36288.0,Yes,84.6,4870.0,6.48,97536.0,0.73,26.02 +45319,Turkey,2019,Cancer,Neurological,10.56,2.56,2.32,0-18,Female,543369,81.84,3.74,4.58,Medication,3874.0,No,59.15,1268.0,7.74,92274.0,0.61,84.36 +45321,Turkey,2004,Diabetes,Respiratory,4.9,8.18,2.3,0-18,Other,667845,87.33,4.11,8.35,Vaccination,22323.0,No,57.43,2596.0,4.85,93352.0,0.71,85.61 +45329,Russia,2002,Ebola,Bacterial,1.72,10.04,7.87,19-35,Other,593504,75.27,4.21,7.77,Vaccination,34889.0,Yes,71.37,3099.0,9.1,18987.0,0.71,43.58 +45335,Japan,2007,Diabetes,Viral,8.55,5.75,0.73,0-18,Male,487682,59.14,4.36,5.8,Medication,42247.0,Yes,61.99,756.0,3.75,18096.0,0.8,33.41 +45345,South Africa,2003,Cancer,Chronic,15.13,4.74,0.28,0-18,Female,128772,97.72,3.15,5.96,Surgery,30510.0,Yes,52.03,1841.0,6.65,47755.0,0.66,29.69 +45347,Nigeria,2007,Ebola,Infectious,3.23,1.7,9.58,19-35,Other,54436,79.31,4.44,4.18,Medication,36545.0,No,88.04,204.0,3.89,90913.0,0.62,34.49 +45354,Argentina,2001,Rabies,Autoimmune,11.99,12.74,9.47,61+,Other,410594,78.52,1.8,6.65,Therapy,24543.0,Yes,81.09,1138.0,1.72,2496.0,0.69,35.15 +45356,Saudi Arabia,2003,Asthma,Chronic,11.41,10.79,9.61,36-60,Female,414544,92.24,3.11,1.97,Vaccination,18619.0,Yes,81.22,3296.0,8.24,79330.0,0.66,23.26 +45365,Canada,2012,Influenza,Neurological,5.26,7.1,6.27,19-35,Female,304582,64.75,3.24,0.78,Surgery,39521.0,Yes,78.51,3923.0,5.44,58064.0,0.79,71.33 +45368,Argentina,2008,Diabetes,Viral,3.36,0.9,0.56,0-18,Male,950891,61.4,1.11,6.71,Surgery,4793.0,No,54.67,3876.0,9.86,36499.0,0.62,57.01 +45384,Australia,2007,HIV/AIDS,Parasitic,5.72,0.46,3.15,0-18,Other,58522,88.01,4.35,5.63,Medication,35264.0,Yes,97.51,4671.0,3.48,69346.0,0.59,83.32 +45386,China,2019,Tuberculosis,Bacterial,6.52,4.71,4.8,61+,Female,697786,78.0,3.78,7.84,Surgery,45728.0,Yes,91.66,1177.0,8.8,46504.0,0.43,68.62 +45401,Japan,2001,Influenza,Infectious,7.21,13.37,0.27,36-60,Other,646938,75.48,1.43,9.6,Therapy,27448.0,No,96.02,1217.0,8.24,39578.0,0.56,41.11 +45402,USA,2022,Hepatitis,Infectious,19.6,9.77,0.19,61+,Male,155640,64.16,0.71,6.3,Medication,15102.0,Yes,87.76,1594.0,8.34,54944.0,0.85,31.01 +45404,Nigeria,2017,Parkinson's Disease,Cardiovascular,0.55,2.14,3.48,61+,Male,194598,74.79,1.74,9.71,Therapy,39223.0,No,71.07,3164.0,9.75,81812.0,0.69,61.43 +45413,Brazil,2016,Parkinson's Disease,Viral,10.43,14.75,7.27,0-18,Female,913544,64.18,2.32,0.51,Therapy,10718.0,Yes,77.91,4528.0,4.97,19905.0,0.46,88.84 +45417,Indonesia,2010,Tuberculosis,Chronic,19.39,1.29,5.41,19-35,Female,481695,76.9,4.79,2.04,Medication,5720.0,Yes,80.7,3237.0,7.93,82855.0,0.72,71.51 +45423,South Africa,2020,Leprosy,Metabolic,18.67,4.56,8.88,36-60,Female,395600,67.5,0.95,8.55,Medication,6311.0,No,58.28,2002.0,2.81,20997.0,0.41,54.33 +45448,USA,2016,Asthma,Cardiovascular,0.8,11.02,7.48,19-35,Other,204802,71.2,1.05,3.5,Medication,23044.0,Yes,72.51,4257.0,9.52,16229.0,0.89,23.51 +45450,Russia,2010,Cancer,Metabolic,2.5,8.43,9.92,36-60,Male,2626,59.43,0.57,9.57,Vaccination,1855.0,Yes,95.41,4511.0,8.71,18344.0,0.55,71.31 +45452,UK,2009,Influenza,Cardiovascular,7.71,7.46,2.25,19-35,Other,941468,84.99,0.91,0.72,Therapy,24752.0,No,60.7,4706.0,0.65,13197.0,0.6,26.32 +45455,Italy,2002,Cancer,Chronic,16.78,0.64,0.73,61+,Female,50200,66.36,1.78,9.35,Surgery,42437.0,Yes,56.43,520.0,5.76,36664.0,0.65,79.5 +45469,Canada,2014,Hepatitis,Genetic,15.72,2.5,0.49,0-18,Female,797428,64.94,3.32,8.37,Surgery,9126.0,No,60.54,728.0,2.55,65341.0,0.7,89.12 +45470,UK,2003,Hepatitis,Viral,5.67,0.54,2.04,19-35,Male,850379,78.82,4.99,0.76,Vaccination,6273.0,No,60.83,4835.0,6.48,13729.0,0.65,42.81 +45472,South Korea,2013,Influenza,Chronic,5.02,1.24,2.1,0-18,Other,152621,73.29,1.36,9.64,Medication,20133.0,Yes,84.84,301.0,0.25,13565.0,0.41,42.93 +45479,Mexico,2010,Rabies,Respiratory,11.59,14.16,3.66,0-18,Other,190299,90.37,3.35,2.28,Therapy,28445.0,No,86.74,1832.0,6.79,90590.0,0.69,83.78 +45482,South Korea,2005,Diabetes,Infectious,1.38,6.77,7.91,36-60,Male,257853,98.19,0.57,6.49,Medication,12084.0,No,58.72,1439.0,4.99,86224.0,0.7,79.98 +45499,South Korea,2008,HIV/AIDS,Parasitic,5.55,8.49,2.08,36-60,Female,914748,54.17,0.63,2.52,Therapy,2347.0,Yes,83.02,1201.0,0.43,11191.0,0.64,57.96 +45507,South Africa,2015,Diabetes,Parasitic,14.54,13.7,2.87,36-60,Male,267332,60.02,0.85,8.74,Vaccination,39454.0,No,79.72,3792.0,4.74,10488.0,0.63,29.92 +45508,Nigeria,2023,Tuberculosis,Viral,14.83,13.87,7.3,61+,Male,630959,79.55,1.88,2.18,Therapy,30068.0,Yes,73.78,4300.0,8.67,72242.0,0.59,80.86 +45534,Saudi Arabia,2014,Cholera,Infectious,17.81,3.13,3.81,61+,Female,186009,75.76,1.21,7.7,Medication,33108.0,No,88.99,3703.0,4.07,95513.0,0.7,43.45 +45539,Brazil,2023,Parkinson's Disease,Respiratory,15.3,3.77,5.25,61+,Female,754122,54.47,4.45,2.05,Surgery,24585.0,Yes,51.16,3753.0,0.84,26506.0,0.83,39.82 +45552,USA,2022,Dengue,Parasitic,4.84,12.25,6.65,36-60,Male,800691,91.48,2.44,2.54,Surgery,37534.0,No,78.9,1607.0,2.97,35064.0,0.46,75.95 +45558,Turkey,2019,Diabetes,Autoimmune,12.04,14.79,5.23,61+,Female,229650,92.1,1.54,6.26,Therapy,31399.0,Yes,69.48,4773.0,4.02,36400.0,0.78,85.16 +45565,South Africa,2024,Ebola,Chronic,18.24,1.53,7.95,61+,Male,792162,75.3,1.31,9.89,Vaccination,48120.0,No,70.97,2525.0,8.45,90654.0,0.49,80.75 +45568,India,2001,Leprosy,Genetic,11.8,13.34,5.13,36-60,Other,572379,65.87,2.47,2.61,Therapy,1442.0,No,94.39,4334.0,7.65,24006.0,0.54,22.28 +45569,Saudi Arabia,2022,Measles,Bacterial,13.31,5.13,7.22,36-60,Female,612087,50.26,3.79,9.16,Vaccination,5989.0,No,81.48,2936.0,4.77,6334.0,0.4,64.64 +45572,Canada,2019,Diabetes,Viral,16.65,1.94,6.96,19-35,Female,149325,86.11,4.59,2.94,Vaccination,41309.0,Yes,71.88,1623.0,0.54,7336.0,0.66,65.12 +45573,Japan,2004,Hepatitis,Cardiovascular,16.08,11.56,2.26,19-35,Other,404954,97.89,2.58,7.96,Surgery,17041.0,No,70.9,4137.0,4.8,14827.0,0.78,50.94 +45575,South Africa,2018,Polio,Infectious,15.05,6.63,7.24,61+,Female,775353,77.02,2.7,1.26,Therapy,44613.0,Yes,75.27,3574.0,1.51,43910.0,0.7,70.7 +45576,Turkey,2005,COVID-19,Parasitic,10.56,9.56,1.0,0-18,Other,352252,73.77,1.47,6.92,Surgery,46993.0,Yes,85.49,3083.0,8.51,29070.0,0.56,57.25 +45577,Mexico,2023,Measles,Metabolic,15.51,8.91,5.75,61+,Other,112658,79.44,1.15,2.18,Vaccination,9625.0,Yes,52.54,1479.0,1.69,72855.0,0.5,58.7 +45588,Nigeria,2018,Malaria,Genetic,17.31,13.96,3.62,0-18,Male,156296,90.94,1.03,3.95,Vaccination,40839.0,No,53.4,901.0,7.84,88736.0,0.61,48.61 +45595,Indonesia,2024,Hepatitis,Metabolic,3.49,6.32,4.0,19-35,Female,421842,70.88,1.29,7.49,Therapy,40613.0,No,83.65,2216.0,1.55,17886.0,0.71,51.99 +45602,Indonesia,2007,Hepatitis,Metabolic,13.95,13.95,6.9,19-35,Male,57721,86.27,0.53,6.56,Vaccination,34175.0,Yes,50.12,4837.0,8.54,41494.0,0.5,21.99 +45610,Canada,2015,Rabies,Parasitic,7.85,7.1,6.17,19-35,Female,709417,82.29,4.16,2.51,Vaccination,34530.0,No,76.53,4899.0,8.83,22895.0,0.51,81.68 +45615,Canada,2017,Polio,Genetic,8.17,14.84,4.03,19-35,Male,925196,85.21,4.67,3.0,Surgery,47815.0,Yes,85.29,1491.0,4.09,12728.0,0.81,85.45 +45618,USA,2017,Dengue,Infectious,14.72,14.75,0.62,36-60,Male,788553,58.0,2.2,7.37,Therapy,32262.0,No,81.62,3405.0,1.33,57097.0,0.87,67.31 +45619,South Africa,2008,Ebola,Bacterial,4.39,5.96,4.98,0-18,Female,263573,57.84,4.97,7.06,Vaccination,38416.0,No,55.04,704.0,8.69,34028.0,0.69,85.97 +45629,Australia,2009,Leprosy,Genetic,17.04,7.58,3.02,36-60,Male,182123,89.68,4.82,2.91,Surgery,17815.0,No,97.57,3751.0,2.06,77814.0,0.78,86.98 +45633,Russia,2014,Measles,Infectious,5.01,3.7,3.26,0-18,Other,487547,88.04,4.55,9.96,Vaccination,4054.0,Yes,85.09,2636.0,3.23,81603.0,0.46,34.12 +45634,USA,2009,Rabies,Cardiovascular,7.37,5.76,1.64,36-60,Other,804569,71.79,4.05,1.49,Medication,22772.0,Yes,73.67,3472.0,5.3,46940.0,0.81,44.08 +45635,China,2000,Parkinson's Disease,Parasitic,11.34,13.11,2.61,36-60,Male,562359,85.26,3.96,1.71,Surgery,35536.0,Yes,92.55,3729.0,9.13,38486.0,0.5,81.7 +45642,Japan,2010,Rabies,Chronic,8.24,13.57,6.25,19-35,Male,685100,67.1,3.22,2.61,Medication,2416.0,No,78.84,127.0,0.25,84114.0,0.48,33.39 +45652,Brazil,2006,Zika,Parasitic,4.51,8.39,7.05,61+,Male,191824,79.77,4.84,1.63,Medication,5979.0,Yes,66.21,1228.0,0.7,97341.0,0.79,44.6 +45658,China,2024,Zika,Cardiovascular,1.96,5.41,3.4,36-60,Other,783081,67.33,2.02,8.91,Vaccination,2965.0,No,69.05,2008.0,5.57,3797.0,0.62,20.34 +45662,France,2007,COVID-19,Respiratory,18.8,5.91,1.6,0-18,Female,560615,73.02,2.11,6.84,Surgery,14939.0,No,72.03,4106.0,7.95,12544.0,0.48,60.37 +45663,Saudi Arabia,2016,Dengue,Genetic,17.83,13.32,0.57,19-35,Male,711554,66.57,0.6,4.94,Vaccination,35867.0,Yes,61.01,2298.0,2.87,51417.0,0.53,57.44 +45665,Nigeria,2005,Measles,Genetic,15.35,5.57,5.32,36-60,Male,582816,62.14,1.19,5.81,Vaccination,8670.0,Yes,80.83,3364.0,0.75,77932.0,0.74,31.98 +45672,Mexico,2014,Polio,Parasitic,2.23,11.61,2.57,19-35,Other,525398,51.62,3.55,5.41,Therapy,38425.0,No,67.92,1272.0,3.0,29723.0,0.74,34.51 +45676,South Africa,2005,Cancer,Metabolic,11.86,12.67,7.2,36-60,Other,113224,63.15,3.15,6.3,Medication,43230.0,Yes,65.27,4401.0,2.47,92723.0,0.74,28.39 +45692,Germany,2006,Hepatitis,Parasitic,1.47,7.84,4.98,19-35,Female,146677,96.01,0.99,3.86,Therapy,33105.0,No,74.98,1002.0,4.62,62842.0,0.48,87.1 +45693,Argentina,2020,Zika,Infectious,15.47,7.12,8.3,19-35,Female,405362,97.52,3.66,8.05,Vaccination,29988.0,Yes,61.46,2039.0,7.69,51912.0,0.62,54.14 +45695,UK,2009,Alzheimer's Disease,Autoimmune,19.31,2.39,3.33,36-60,Other,693868,51.75,4.03,6.92,Medication,35622.0,Yes,67.15,2096.0,8.91,60102.0,0.56,72.18 +45697,South Korea,2008,Rabies,Neurological,13.5,12.07,4.69,0-18,Male,641965,60.7,4.22,7.0,Medication,41937.0,No,98.57,25.0,3.28,41638.0,0.5,25.0 +45704,Canada,2023,HIV/AIDS,Genetic,3.54,7.33,6.59,0-18,Male,313062,97.16,4.8,7.11,Surgery,14205.0,No,71.22,927.0,5.98,97478.0,0.8,83.3 +45705,Russia,2012,Rabies,Neurological,12.32,8.47,0.96,19-35,Other,457627,98.31,4.02,1.12,Medication,34113.0,No,50.1,4207.0,9.95,72081.0,0.56,89.62 +45707,UK,2017,Zika,Autoimmune,2.57,4.43,4.8,0-18,Male,137439,83.81,2.83,5.94,Surgery,4586.0,No,71.48,4625.0,7.81,31810.0,0.75,67.39 +45711,Indonesia,2019,Zika,Respiratory,16.44,5.64,7.28,61+,Male,184090,82.75,0.74,6.99,Therapy,43202.0,No,67.81,172.0,8.98,30060.0,0.41,49.72 +45712,Australia,2000,Influenza,Respiratory,1.56,12.26,0.84,19-35,Female,216257,95.64,0.72,7.81,Vaccination,41974.0,No,96.59,2574.0,3.65,91107.0,0.45,87.57 +45715,Indonesia,2011,Diabetes,Infectious,16.05,3.57,1.93,0-18,Female,789497,68.95,1.18,3.93,Therapy,34831.0,Yes,62.05,3994.0,1.8,80321.0,0.66,46.67 +45716,Canada,2013,Polio,Viral,15.58,6.09,1.5,61+,Female,846872,99.0,4.45,8.93,Therapy,27449.0,No,52.15,1369.0,6.75,81923.0,0.77,60.6 +45719,Argentina,2000,Ebola,Infectious,9.97,6.52,6.7,19-35,Male,930487,72.86,4.51,3.78,Medication,35309.0,No,74.61,3694.0,9.22,94412.0,0.72,86.29 +45721,Argentina,2010,Influenza,Chronic,19.56,11.58,6.23,19-35,Female,962844,90.77,4.89,6.01,Medication,15137.0,Yes,96.18,1402.0,3.09,23138.0,0.7,31.05 +45722,Mexico,2024,Diabetes,Parasitic,7.78,1.48,0.67,19-35,Other,307369,74.01,0.6,5.98,Therapy,39965.0,No,86.93,3632.0,1.71,81503.0,0.53,84.24 +45724,Saudi Arabia,2002,Zika,Metabolic,5.4,12.63,3.45,19-35,Female,654933,50.88,0.61,2.28,Medication,23897.0,No,61.8,3023.0,6.05,63030.0,0.74,35.81 +45730,South Africa,2005,Asthma,Bacterial,19.38,9.17,1.01,19-35,Male,420783,74.51,1.87,2.41,Medication,46520.0,No,73.48,3539.0,1.71,27950.0,0.88,49.08 +45732,Argentina,2009,Dengue,Chronic,9.41,10.38,6.08,61+,Female,837588,60.44,3.33,3.52,Medication,26853.0,Yes,62.89,2224.0,7.83,92673.0,0.85,86.95 +45742,Australia,2022,Asthma,Genetic,5.1,8.15,2.99,19-35,Other,456446,73.19,3.92,1.96,Medication,10122.0,No,66.46,4831.0,2.95,6685.0,0.51,62.42 +45743,South Africa,2013,Polio,Chronic,12.63,0.81,8.97,36-60,Other,787604,86.25,4.64,9.13,Surgery,8872.0,No,64.19,104.0,7.14,30264.0,0.42,61.2 +45750,Germany,2001,Influenza,Cardiovascular,3.56,8.07,7.5,61+,Male,732386,53.77,3.05,9.73,Therapy,33190.0,No,67.75,230.0,0.39,18481.0,0.61,46.81 +45751,USA,2006,Cancer,Parasitic,4.17,3.38,6.03,19-35,Female,191526,81.59,4.53,4.09,Surgery,31546.0,No,76.53,4190.0,9.32,30817.0,0.69,68.74 +45756,Germany,2003,Cholera,Viral,18.51,7.29,3.43,19-35,Other,385084,84.08,4.43,8.03,Surgery,43224.0,No,63.66,3683.0,0.54,32364.0,0.69,24.17 +45757,China,2012,Leprosy,Neurological,9.54,7.04,2.4,19-35,Other,906782,75.59,2.72,4.55,Surgery,25049.0,Yes,94.02,1944.0,4.52,55472.0,0.49,37.92 +45763,Mexico,2004,Zika,Infectious,11.24,5.55,6.38,36-60,Male,385417,71.06,0.65,6.28,Medication,14905.0,No,88.99,3715.0,7.48,47602.0,0.82,47.25 +45766,Turkey,2016,Parkinson's Disease,Chronic,5.28,4.34,0.88,19-35,Male,800470,58.02,1.29,5.7,Surgery,2042.0,No,92.84,2845.0,3.53,54435.0,0.56,64.24 +45767,Australia,2024,Polio,Metabolic,5.5,6.26,4.79,19-35,Other,490681,59.82,1.24,7.21,Vaccination,23638.0,Yes,98.36,1788.0,3.88,47507.0,0.87,73.07 +45776,USA,2015,Cancer,Respiratory,5.08,7.47,5.22,61+,Male,613726,99.1,2.81,5.62,Medication,32627.0,Yes,90.85,3755.0,2.64,64851.0,0.43,71.85 +45777,Mexico,2018,Ebola,Bacterial,10.73,10.54,1.11,36-60,Other,812716,53.05,3.66,2.74,Medication,36767.0,No,82.46,4811.0,6.12,28445.0,0.88,29.8 +45785,Canada,2012,Zika,Genetic,4.03,9.18,3.11,61+,Female,351530,74.57,2.9,2.69,Surgery,2359.0,No,64.17,1837.0,9.23,59613.0,0.46,70.23 +45789,Nigeria,2003,Dengue,Infectious,15.48,13.35,1.36,36-60,Male,148236,79.83,0.78,2.73,Medication,44653.0,No,58.1,2426.0,6.9,40296.0,0.63,76.94 +45791,India,2004,Diabetes,Infectious,17.34,3.77,2.72,19-35,Other,750495,56.04,1.24,9.63,Surgery,11339.0,No,88.0,3045.0,5.32,49507.0,0.46,86.63 +45792,Nigeria,2016,Influenza,Parasitic,1.03,6.43,1.54,36-60,Male,935455,80.92,3.51,7.85,Vaccination,44338.0,Yes,85.02,648.0,0.03,94407.0,0.41,35.27 +45796,Nigeria,2006,Polio,Infectious,5.3,3.98,5.31,0-18,Male,267018,90.06,2.22,1.04,Medication,30845.0,Yes,67.22,2284.0,6.53,65810.0,0.55,61.54 +45797,Turkey,2004,Influenza,Infectious,18.38,9.97,7.81,0-18,Other,242238,77.01,3.19,7.86,Therapy,5743.0,No,53.3,2893.0,5.57,67581.0,0.88,34.41 +45798,China,2013,Alzheimer's Disease,Neurological,12.56,14.64,8.25,61+,Other,160042,62.07,2.29,8.31,Medication,31960.0,Yes,87.29,4095.0,3.37,56619.0,0.79,51.78 +45799,Canada,2019,Asthma,Respiratory,0.58,14.34,5.98,0-18,Male,998776,87.62,1.23,2.04,Surgery,23628.0,No,64.13,1730.0,2.53,38174.0,0.44,38.92 +45807,Canada,2004,Malaria,Parasitic,4.59,5.33,1.41,36-60,Male,723473,60.49,4.0,1.46,Therapy,5048.0,No,82.26,1307.0,9.61,51617.0,0.45,80.36 +45809,Indonesia,2004,Hepatitis,Cardiovascular,15.9,14.94,7.71,19-35,Other,833760,56.77,3.62,9.14,Surgery,46083.0,Yes,60.01,1582.0,3.3,71248.0,0.55,24.74 +45813,Nigeria,2007,Diabetes,Metabolic,3.91,5.17,7.21,61+,Female,172252,91.17,4.98,8.01,Therapy,14780.0,No,81.39,3193.0,2.49,81528.0,0.56,29.38 +45827,Indonesia,2009,Cholera,Autoimmune,12.22,10.58,5.95,0-18,Female,59413,87.6,2.03,7.24,Therapy,12817.0,No,91.6,1152.0,1.15,67078.0,0.83,41.84 +45828,India,2008,Leprosy,Infectious,13.07,4.2,1.23,36-60,Male,194856,57.47,4.05,7.54,Therapy,4271.0,Yes,88.84,2958.0,3.79,17582.0,0.61,52.81 +45829,China,2021,Hypertension,Genetic,19.02,3.32,4.03,0-18,Other,762597,94.67,0.79,3.87,Medication,11735.0,Yes,95.41,641.0,3.54,96186.0,0.89,87.67 +45830,Argentina,2010,Parkinson's Disease,Viral,16.06,12.2,2.95,0-18,Male,399014,97.65,1.24,2.72,Therapy,7265.0,No,93.97,2395.0,5.42,62725.0,0.63,74.84 +45832,Turkey,2020,Polio,Parasitic,1.35,6.5,2.71,61+,Male,209248,56.89,3.68,2.02,Surgery,35755.0,No,92.71,3655.0,7.25,58949.0,0.5,57.61 +45834,Italy,2006,Hepatitis,Neurological,10.27,6.26,8.76,0-18,Male,124794,60.64,3.17,0.5,Therapy,39663.0,Yes,50.23,738.0,0.79,35850.0,0.43,23.73 +45838,Japan,2022,Malaria,Autoimmune,17.32,4.44,9.02,0-18,Male,485984,97.07,2.52,7.9,Medication,29056.0,No,96.29,4092.0,5.61,58209.0,0.85,28.55 +45841,Australia,2004,Parkinson's Disease,Metabolic,19.92,9.91,6.79,36-60,Other,852468,98.64,2.88,1.43,Medication,20988.0,No,79.16,3053.0,4.04,76199.0,0.45,84.73 +45842,Nigeria,2000,Cholera,Cardiovascular,10.53,12.95,5.35,19-35,Other,376256,78.22,3.9,4.55,Surgery,544.0,No,94.81,2896.0,6.49,19949.0,0.68,33.43 +45856,Turkey,2014,Dengue,Bacterial,10.23,5.67,3.93,19-35,Female,796739,85.0,2.19,1.02,Vaccination,9149.0,No,75.43,875.0,2.96,46649.0,0.51,58.43 +45861,Japan,2009,Zika,Genetic,5.43,6.5,2.32,19-35,Female,316825,66.57,3.7,2.95,Therapy,49895.0,Yes,78.2,2652.0,7.59,39182.0,0.64,52.83 +45869,Indonesia,2016,Rabies,Neurological,4.17,12.94,5.79,61+,Female,111711,81.02,1.82,3.33,Therapy,39404.0,No,52.74,3900.0,6.7,22812.0,0.62,34.09 +45873,Italy,2013,COVID-19,Cardiovascular,18.72,11.99,0.93,61+,Male,940935,71.44,0.74,4.04,Therapy,21329.0,No,50.86,3171.0,8.85,54924.0,0.89,58.19 +45892,Italy,2000,Dengue,Cardiovascular,16.83,14.74,6.6,36-60,Male,819226,86.27,2.81,5.25,Medication,33689.0,No,90.31,3249.0,8.0,21085.0,0.8,24.85 +45893,India,2023,Hypertension,Cardiovascular,4.23,14.91,2.8,36-60,Other,646523,80.24,4.7,5.27,Medication,21054.0,No,93.98,2127.0,7.06,83387.0,0.82,42.45 +45898,Argentina,2011,Influenza,Metabolic,15.59,6.16,1.22,36-60,Male,729728,54.35,2.62,5.69,Surgery,19985.0,Yes,78.95,989.0,4.49,8598.0,0.43,55.79 +45904,Canada,2012,Cholera,Bacterial,12.1,13.7,6.51,36-60,Female,755429,82.0,4.28,5.46,Surgery,41570.0,No,60.07,695.0,0.43,66715.0,0.47,86.12 +45905,Argentina,2015,Malaria,Parasitic,7.34,0.85,0.64,36-60,Female,455435,62.45,4.95,1.77,Therapy,24771.0,Yes,77.74,2318.0,2.0,54028.0,0.49,34.82 +45914,Saudi Arabia,2007,Leprosy,Cardiovascular,6.41,6.92,1.26,61+,Female,497240,89.81,2.08,7.34,Medication,20767.0,Yes,91.03,1685.0,8.42,80737.0,0.82,35.76 +45921,Brazil,2017,Polio,Respiratory,18.49,10.25,3.34,36-60,Female,168007,77.2,2.81,8.21,Medication,38601.0,No,89.0,1186.0,7.28,56494.0,0.72,80.6 +45927,France,2019,Measles,Parasitic,6.96,5.19,5.91,0-18,Male,762607,99.45,2.39,2.36,Therapy,6019.0,No,86.67,2041.0,4.46,72468.0,0.84,37.99 +45931,Turkey,2022,COVID-19,Bacterial,17.46,9.12,2.35,36-60,Male,670993,99.68,3.72,5.38,Vaccination,27950.0,Yes,54.23,2973.0,7.11,94856.0,0.74,67.72 +45948,China,2014,Hypertension,Bacterial,2.42,10.15,7.38,0-18,Other,986373,66.68,1.92,6.91,Surgery,22591.0,Yes,62.89,499.0,4.2,52878.0,0.89,68.55 +45955,China,2003,Parkinson's Disease,Autoimmune,13.18,4.96,6.78,19-35,Male,989484,67.77,1.45,8.27,Vaccination,18201.0,No,88.67,2434.0,2.94,16233.0,0.85,81.63 +45975,Brazil,2004,Diabetes,Genetic,19.76,1.19,7.54,36-60,Other,970440,66.49,1.37,8.86,Therapy,48820.0,No,96.64,3243.0,7.72,67010.0,0.8,67.97 +45985,South Africa,2001,Asthma,Respiratory,11.93,10.24,9.84,36-60,Other,510274,86.08,4.92,4.78,Therapy,15041.0,No,70.04,489.0,9.69,48265.0,0.72,48.42 +45991,Japan,2009,Dengue,Infectious,15.9,0.68,7.98,36-60,Other,455938,91.53,1.91,6.85,Vaccination,34281.0,Yes,91.81,1704.0,8.0,6987.0,0.41,86.08 +45995,Germany,2002,Dengue,Metabolic,19.18,10.73,1.0,0-18,Female,923719,62.6,2.61,0.73,Surgery,9815.0,No,66.61,2373.0,1.84,71854.0,0.7,72.46 +45997,Canada,2005,Tuberculosis,Chronic,13.7,11.14,6.97,36-60,Male,866566,66.62,1.07,2.9,Therapy,41971.0,No,58.12,2678.0,0.92,16419.0,0.46,73.74 +46004,South Korea,2022,HIV/AIDS,Chronic,8.08,0.27,9.25,36-60,Male,841273,96.71,2.24,2.74,Medication,13105.0,Yes,51.0,475.0,9.99,31435.0,0.87,81.5 +46013,Italy,2008,Asthma,Parasitic,9.05,1.25,5.58,36-60,Other,937277,79.1,3.14,1.25,Surgery,47669.0,Yes,85.16,1056.0,7.78,79648.0,0.64,84.42 +46017,Japan,2008,Leprosy,Cardiovascular,18.46,12.93,4.26,0-18,Male,932392,67.1,1.16,3.14,Surgery,38336.0,Yes,74.91,4652.0,6.7,32956.0,0.5,84.15 +46019,Brazil,2000,Tuberculosis,Viral,15.88,11.52,8.78,0-18,Other,913345,71.08,2.48,5.44,Therapy,36256.0,No,51.99,784.0,1.64,46494.0,0.41,78.72 +46021,Australia,2012,Measles,Metabolic,4.96,7.57,0.39,61+,Male,432877,71.41,4.41,4.08,Medication,18424.0,Yes,53.39,3325.0,5.39,74811.0,0.79,29.53 +46023,France,2013,HIV/AIDS,Autoimmune,5.66,0.76,3.6,36-60,Female,166749,75.78,1.77,7.82,Surgery,16484.0,Yes,97.23,2827.0,1.09,9390.0,0.47,67.75 +46026,Saudi Arabia,2016,Cholera,Respiratory,8.94,0.94,9.24,61+,Male,501171,91.3,1.85,4.06,Therapy,14200.0,Yes,61.99,4177.0,3.81,8898.0,0.63,82.11 +46027,Germany,2013,Diabetes,Cardiovascular,7.06,13.08,5.89,0-18,Male,937643,86.58,0.89,1.64,Vaccination,15101.0,No,78.98,436.0,6.74,63710.0,0.55,57.14 +46030,Saudi Arabia,2013,Cancer,Chronic,13.9,13.82,6.79,19-35,Male,229924,65.36,3.65,1.64,Medication,38153.0,Yes,89.99,3823.0,2.38,38464.0,0.87,84.55 +46039,Turkey,2012,Alzheimer's Disease,Parasitic,0.72,1.06,4.77,36-60,Male,51215,64.0,3.5,9.82,Medication,6347.0,No,96.87,245.0,3.09,9413.0,0.5,82.05 +46046,USA,2007,Ebola,Neurological,10.31,14.41,0.45,19-35,Female,350345,57.32,3.99,5.63,Vaccination,32163.0,No,85.8,1782.0,9.79,32064.0,0.8,33.02 +46047,Japan,2014,Asthma,Chronic,0.42,13.88,5.8,0-18,Male,617033,66.85,2.54,9.96,Surgery,26255.0,Yes,56.8,1113.0,2.99,98176.0,0.5,27.86 +46050,Canada,2018,Measles,Infectious,18.42,11.24,9.35,19-35,Female,897907,67.36,4.39,8.98,Medication,21528.0,No,93.74,1698.0,7.08,38729.0,0.49,69.5 +46051,Japan,2011,Parkinson's Disease,Cardiovascular,12.07,9.15,3.47,36-60,Other,631682,59.85,4.11,2.0,Medication,31195.0,Yes,52.09,1031.0,7.13,88828.0,0.77,74.5 +46063,India,2016,Asthma,Bacterial,9.26,11.52,7.4,36-60,Female,84198,85.32,3.9,6.14,Vaccination,24399.0,No,55.37,4836.0,9.86,7804.0,0.89,75.81 +46073,South Africa,2014,Ebola,Genetic,8.44,0.78,8.62,19-35,Other,27648,64.23,4.8,5.27,Therapy,4801.0,Yes,66.59,3321.0,7.03,14395.0,0.49,50.7 +46075,Canada,2016,Rabies,Metabolic,11.65,3.41,0.76,0-18,Other,510036,71.32,4.31,1.04,Vaccination,36201.0,Yes,96.66,2907.0,6.66,81969.0,0.62,39.36 +46081,Nigeria,2021,Asthma,Bacterial,8.05,5.55,1.02,19-35,Female,883578,51.73,0.75,1.72,Medication,48036.0,No,52.83,4466.0,7.64,4811.0,0.83,77.26 +46087,Japan,2019,Hepatitis,Parasitic,6.89,1.76,2.69,0-18,Male,381475,90.12,0.72,7.85,Surgery,13662.0,Yes,90.5,4530.0,4.27,12295.0,0.88,31.8 +46097,Japan,2021,Diabetes,Metabolic,4.07,10.38,8.87,0-18,Female,733370,96.34,1.05,6.12,Surgery,21441.0,Yes,87.14,4069.0,5.04,79310.0,0.54,67.69 +46098,Mexico,2012,Polio,Genetic,11.4,9.15,5.86,19-35,Other,825495,84.58,4.21,9.28,Medication,14740.0,No,76.14,1502.0,7.48,42832.0,0.75,69.82 +46099,Russia,2022,Influenza,Chronic,7.29,0.31,4.49,19-35,Female,895499,73.13,4.75,7.67,Medication,40906.0,No,87.85,394.0,4.75,81095.0,0.47,37.61 +46100,Canada,2020,Leprosy,Neurological,13.27,5.55,2.44,61+,Male,717862,92.01,1.89,1.73,Therapy,8136.0,Yes,78.57,3048.0,1.1,66958.0,0.62,75.99 +46101,Turkey,2001,Malaria,Genetic,12.83,7.42,7.58,0-18,Male,309122,55.56,4.66,0.9,Medication,21430.0,No,61.66,2969.0,7.27,15435.0,0.6,88.41 +46108,UK,2018,Alzheimer's Disease,Infectious,13.28,1.42,4.98,36-60,Female,820432,75.52,4.44,6.42,Surgery,17437.0,No,78.43,4241.0,3.48,24172.0,0.6,52.32 +46109,Mexico,2022,Measles,Bacterial,12.81,9.49,7.36,0-18,Male,248850,63.65,4.79,3.59,Medication,13356.0,Yes,94.16,1414.0,5.86,35738.0,0.65,47.27 +46120,USA,2001,Cancer,Neurological,9.83,8.74,4.58,0-18,Other,143312,96.53,4.44,5.01,Medication,24355.0,No,78.94,2663.0,9.61,97705.0,0.62,54.51 +46121,China,2017,Polio,Chronic,15.03,13.24,0.39,19-35,Male,467101,98.44,3.97,3.35,Vaccination,28011.0,No,82.35,385.0,3.01,21320.0,0.87,59.61 +46122,Indonesia,2024,Rabies,Viral,4.21,11.59,1.18,36-60,Male,93961,65.74,4.37,6.17,Vaccination,17522.0,Yes,74.36,482.0,7.47,30627.0,0.8,84.83 +46127,Japan,2003,Dengue,Parasitic,0.22,1.18,5.84,19-35,Female,204606,89.79,0.62,5.28,Vaccination,47448.0,Yes,59.4,828.0,6.31,89346.0,0.8,89.08 +46128,South Africa,2009,Polio,Infectious,16.26,8.01,9.83,61+,Female,856200,58.3,2.44,4.81,Surgery,34169.0,No,55.29,533.0,5.89,80179.0,0.87,34.46 +46129,Australia,2022,Dengue,Genetic,0.2,2.38,6.05,0-18,Female,137746,95.83,3.06,0.51,Vaccination,32215.0,Yes,98.08,2938.0,1.95,77732.0,0.54,26.78 +46130,Australia,2018,Hypertension,Parasitic,1.89,2.12,5.95,61+,Male,521962,85.1,1.07,6.56,Medication,13843.0,Yes,98.76,2293.0,5.31,36071.0,0.77,28.69 +46136,France,2019,Alzheimer's Disease,Genetic,9.77,2.93,2.28,19-35,Male,755162,81.89,3.11,7.56,Surgery,2541.0,Yes,92.1,1575.0,4.79,30881.0,0.47,53.13 +46137,Italy,2003,Tuberculosis,Infectious,3.51,6.48,7.66,0-18,Other,699683,65.73,2.51,7.99,Therapy,39406.0,No,88.19,1773.0,1.56,89199.0,0.46,73.59 +46139,Canada,2019,Malaria,Parasitic,8.89,11.64,3.6,61+,Other,728821,58.77,4.84,7.9,Medication,1675.0,Yes,90.93,143.0,8.66,77027.0,0.62,60.6 +46144,Canada,2010,Parkinson's Disease,Metabolic,15.87,12.14,5.42,0-18,Male,991839,73.48,3.91,5.81,Therapy,30136.0,Yes,88.9,1942.0,9.06,77878.0,0.87,86.9 +46150,Brazil,2018,HIV/AIDS,Infectious,5.5,14.75,3.6,19-35,Male,618456,54.36,1.13,7.56,Therapy,10520.0,Yes,70.96,3650.0,2.76,32082.0,0.53,29.28 +46162,China,2002,Rabies,Cardiovascular,0.8,12.61,7.31,61+,Female,869486,56.74,2.3,0.9,Vaccination,27463.0,No,88.06,2945.0,9.86,86620.0,0.49,64.99 +46165,Japan,2013,Tuberculosis,Parasitic,10.8,0.92,3.57,61+,Female,924126,80.46,3.59,5.24,Therapy,33123.0,Yes,77.05,288.0,0.15,78248.0,0.43,39.68 +46168,UK,2012,Hepatitis,Infectious,14.97,12.12,8.28,61+,Other,430285,80.18,3.62,7.99,Surgery,37224.0,No,93.4,3904.0,7.68,44494.0,0.82,53.77 +46169,Germany,2011,Leprosy,Infectious,16.09,12.19,6.16,0-18,Male,149472,95.67,2.91,5.78,Medication,5848.0,Yes,93.79,3177.0,2.93,29309.0,0.48,71.27 +46173,Indonesia,2010,Leprosy,Autoimmune,12.85,14.82,4.1,61+,Female,965187,91.14,2.16,9.57,Therapy,18996.0,Yes,97.29,1535.0,3.96,13999.0,0.43,63.94 +46175,Mexico,2023,Diabetes,Chronic,19.18,1.81,9.04,36-60,Male,965342,87.58,1.77,3.56,Surgery,47529.0,No,75.7,2373.0,3.08,65066.0,0.42,23.51 +46194,South Africa,2000,Hypertension,Chronic,7.26,9.59,5.03,0-18,Other,496596,62.7,0.9,3.73,Medication,49739.0,No,54.03,326.0,5.75,9055.0,0.88,67.76 +46201,Nigeria,2013,Ebola,Infectious,9.5,3.54,6.48,0-18,Other,687766,54.2,0.73,5.56,Medication,36333.0,Yes,73.66,3856.0,0.39,99160.0,0.85,72.64 +46203,USA,2021,Measles,Cardiovascular,5.94,2.71,7.81,36-60,Female,281746,85.14,3.76,1.54,Surgery,30673.0,No,59.11,3883.0,1.33,84624.0,0.43,32.66 +46210,Saudi Arabia,2023,COVID-19,Bacterial,14.99,10.73,4.43,36-60,Male,476231,99.64,1.85,9.16,Vaccination,3729.0,No,51.9,1510.0,5.63,42749.0,0.88,55.52 +46212,France,2023,Measles,Respiratory,5.43,11.41,4.08,61+,Male,362559,50.52,0.52,3.8,Vaccination,18285.0,Yes,63.17,2162.0,9.71,44683.0,0.51,69.73 +46214,South Korea,2007,Malaria,Respiratory,2.51,9.31,7.16,61+,Female,247821,92.0,2.77,8.03,Surgery,28524.0,No,85.61,1982.0,8.91,94233.0,0.48,88.92 +46232,Mexico,2009,Tuberculosis,Respiratory,12.88,2.16,7.72,0-18,Female,902865,54.58,1.24,5.93,Vaccination,43273.0,No,67.69,3645.0,1.43,62162.0,0.5,25.96 +46241,Russia,2020,Asthma,Neurological,19.63,2.89,8.31,61+,Female,689150,70.28,3.37,0.77,Surgery,39653.0,No,97.49,3258.0,6.93,16942.0,0.41,20.69 +46243,Saudi Arabia,2011,Influenza,Chronic,13.11,6.1,5.92,61+,Other,45711,55.6,2.68,2.44,Surgery,20167.0,No,88.27,1537.0,2.31,69197.0,0.9,48.78 +46244,USA,2006,Measles,Genetic,4.0,6.43,7.66,19-35,Other,672776,62.24,2.75,6.92,Medication,30245.0,No,93.26,913.0,9.45,67920.0,0.88,41.55 +46251,Indonesia,2021,Measles,Respiratory,15.19,9.14,7.76,0-18,Female,445965,91.28,0.87,6.31,Surgery,15036.0,Yes,89.81,1478.0,7.1,37300.0,0.54,46.47 +46257,Nigeria,2011,Dengue,Autoimmune,2.11,13.04,5.99,36-60,Male,358469,58.47,4.77,1.6,Surgery,7427.0,No,69.08,3113.0,0.77,11099.0,0.51,40.41 +46259,China,2000,Ebola,Respiratory,13.7,7.67,0.36,0-18,Female,91013,53.03,1.55,3.08,Surgery,36593.0,Yes,50.9,1368.0,5.21,41046.0,0.53,82.86 +46262,Germany,2011,Asthma,Parasitic,10.19,9.5,8.94,0-18,Other,179487,99.12,3.6,2.48,Therapy,47225.0,Yes,74.29,428.0,0.33,69623.0,0.6,26.15 +46264,Canada,2000,Influenza,Neurological,17.2,13.5,6.55,19-35,Male,518292,95.08,3.99,8.18,Therapy,24828.0,No,72.9,4323.0,0.4,81964.0,0.44,69.47 +46267,Nigeria,2010,Influenza,Respiratory,4.34,14.48,5.33,36-60,Male,535302,94.77,3.54,6.97,Medication,19447.0,No,82.42,1220.0,3.16,40323.0,0.81,29.65 +46276,Canada,2021,Ebola,Infectious,11.25,0.36,3.23,36-60,Female,879444,92.76,4.68,9.2,Medication,16562.0,Yes,83.96,2942.0,4.31,89052.0,0.81,79.52 +46278,India,2002,Malaria,Viral,0.69,1.35,2.25,0-18,Female,973466,64.82,1.94,3.04,Therapy,19365.0,Yes,80.19,4101.0,8.72,73350.0,0.61,46.97 +46279,Brazil,2005,Tuberculosis,Neurological,19.29,1.27,6.46,0-18,Female,208026,67.9,3.35,9.36,Medication,20765.0,Yes,85.25,447.0,2.38,46821.0,0.8,39.57 +46300,Nigeria,2003,Leprosy,Metabolic,12.93,12.39,2.57,19-35,Female,77408,75.7,2.85,1.73,Therapy,15231.0,No,97.21,681.0,2.21,22217.0,0.79,87.34 +46303,Russia,2008,Zika,Parasitic,7.02,7.03,7.99,36-60,Female,959772,59.86,0.98,2.99,Vaccination,12563.0,Yes,66.23,2690.0,2.4,70512.0,0.8,69.18 +46306,Germany,2009,Ebola,Autoimmune,1.85,12.13,0.94,36-60,Male,38271,80.37,3.37,6.05,Medication,24781.0,Yes,71.48,3033.0,9.02,92848.0,0.56,67.32 +46312,South Africa,2022,Malaria,Viral,6.63,10.84,5.3,61+,Male,774804,79.12,0.61,1.18,Vaccination,36512.0,No,50.14,4800.0,8.21,54351.0,0.5,45.25 +46323,South Africa,2024,Measles,Cardiovascular,12.29,6.64,6.53,36-60,Female,20756,57.54,3.44,2.48,Medication,14597.0,Yes,59.52,2115.0,5.15,39986.0,0.69,43.51 +46327,UK,2007,Cholera,Cardiovascular,16.52,12.13,2.72,0-18,Female,878169,59.08,0.91,2.97,Surgery,10728.0,No,54.93,769.0,0.56,12872.0,0.43,61.33 +46328,India,2003,COVID-19,Autoimmune,18.49,9.06,2.67,61+,Male,891334,64.16,3.58,1.77,Surgery,42974.0,Yes,80.37,988.0,6.18,18316.0,0.46,51.01 +46333,South Korea,2005,Rabies,Viral,7.9,10.5,6.03,0-18,Other,752439,98.07,4.02,4.76,Therapy,48923.0,Yes,98.16,2763.0,2.09,67561.0,0.43,54.64 +46343,Canada,2006,Cancer,Cardiovascular,17.73,13.54,0.39,0-18,Male,712187,82.25,0.7,2.03,Surgery,32883.0,No,50.59,3209.0,1.64,9404.0,0.75,27.99 +46346,Italy,2021,HIV/AIDS,Respiratory,16.57,8.24,7.4,36-60,Female,902937,50.15,1.48,2.69,Medication,13976.0,Yes,78.83,1078.0,6.84,4058.0,0.54,86.92 +46357,Mexico,2006,Measles,Genetic,0.45,8.44,2.03,36-60,Other,180368,57.35,3.45,1.23,Therapy,10142.0,No,53.97,322.0,6.01,41348.0,0.46,74.4 +46361,Brazil,2023,Measles,Chronic,17.08,13.5,6.44,36-60,Female,520209,50.5,3.75,6.68,Surgery,2981.0,Yes,54.78,4095.0,4.74,85494.0,0.55,73.93 +46364,Brazil,2013,Alzheimer's Disease,Chronic,3.22,6.72,9.37,36-60,Other,415881,90.74,1.69,9.88,Therapy,34733.0,No,93.72,3669.0,4.45,15956.0,0.45,27.73 +46373,Turkey,2006,Dengue,Bacterial,9.16,9.38,5.04,61+,Female,577769,57.52,2.28,3.72,Surgery,23044.0,Yes,79.95,1698.0,7.59,15318.0,0.53,69.68 +46374,Canada,2001,Dengue,Respiratory,12.43,13.33,4.21,36-60,Other,162949,74.05,0.89,9.79,Medication,44620.0,No,50.34,4414.0,3.36,85752.0,0.62,89.69 +46377,South Korea,2023,Parkinson's Disease,Infectious,12.63,6.57,0.29,36-60,Male,998300,91.79,0.71,6.89,Medication,5345.0,No,82.56,297.0,8.4,10279.0,0.64,62.44 +46379,Russia,2002,Hypertension,Bacterial,3.21,14.21,7.11,0-18,Male,734330,69.72,2.58,8.63,Therapy,39157.0,No,78.24,4766.0,0.66,97252.0,0.86,50.87 +46388,Brazil,2016,Measles,Parasitic,6.65,8.5,9.87,19-35,Female,138461,86.04,0.59,1.26,Medication,31980.0,Yes,61.23,886.0,2.53,79515.0,0.62,51.74 +46401,Germany,2003,Influenza,Cardiovascular,17.81,4.46,5.07,61+,Female,660136,68.77,3.3,8.05,Surgery,46277.0,Yes,94.51,157.0,3.42,1628.0,0.44,49.4 +46409,Russia,2014,Diabetes,Viral,2.59,14.49,2.45,61+,Male,813835,52.33,4.12,8.87,Surgery,11597.0,Yes,84.51,153.0,1.01,55052.0,0.62,30.1 +46419,South Korea,2014,Cholera,Respiratory,6.9,1.1,7.69,61+,Male,956905,80.71,1.84,8.54,Vaccination,29963.0,Yes,75.3,2063.0,8.33,52180.0,0.8,51.04 +46420,USA,2016,Polio,Parasitic,18.15,8.24,7.5,61+,Male,941473,85.03,3.62,1.68,Vaccination,41065.0,No,61.53,1833.0,8.7,9397.0,0.66,52.46 +46423,Mexico,2003,Asthma,Bacterial,12.99,6.22,7.28,0-18,Female,415924,63.42,4.24,0.66,Vaccination,26849.0,Yes,89.65,4880.0,8.95,23452.0,0.64,55.87 +46425,USA,2009,Malaria,Metabolic,12.06,13.79,2.83,19-35,Female,293179,61.29,1.24,6.57,Medication,9484.0,No,71.54,3570.0,9.42,55304.0,0.88,32.63 +46434,USA,2008,HIV/AIDS,Parasitic,7.27,9.37,1.55,19-35,Male,25862,90.44,1.72,1.85,Medication,21570.0,No,66.29,1417.0,7.96,34023.0,0.74,84.09 +46438,Saudi Arabia,2022,Zika,Parasitic,1.91,12.18,1.47,19-35,Female,311438,73.36,4.43,5.13,Vaccination,42120.0,Yes,97.07,2951.0,0.49,71117.0,0.58,54.75 +46444,Canada,2024,Diabetes,Infectious,7.97,14.56,6.03,36-60,Other,754532,76.68,2.98,1.27,Therapy,21442.0,No,55.58,225.0,6.6,98602.0,0.77,36.19 +46456,UK,2008,Alzheimer's Disease,Cardiovascular,8.67,1.75,3.85,36-60,Female,222704,86.91,2.89,7.34,Therapy,10774.0,Yes,77.2,3349.0,3.37,70457.0,0.46,78.96 +46466,USA,2012,Hepatitis,Autoimmune,18.6,10.83,3.65,19-35,Other,759154,84.44,1.15,5.17,Therapy,24456.0,Yes,83.06,2054.0,5.18,56991.0,0.63,89.21 +46469,Indonesia,2008,Asthma,Bacterial,18.03,7.25,9.73,19-35,Male,878896,55.16,2.45,7.9,Medication,21598.0,Yes,98.57,833.0,4.43,83117.0,0.77,70.94 +46476,China,2010,Polio,Genetic,8.25,3.07,7.81,19-35,Male,690970,92.13,3.81,1.17,Therapy,34599.0,No,90.22,3621.0,3.64,67589.0,0.83,45.03 +46483,Russia,2007,Cancer,Parasitic,12.85,6.66,8.96,61+,Other,919601,84.63,1.41,9.77,Vaccination,35755.0,No,89.24,4977.0,2.01,3240.0,0.46,24.99 +46491,South Korea,2007,Alzheimer's Disease,Cardiovascular,14.5,6.31,6.98,36-60,Other,350148,74.89,2.57,5.28,Vaccination,46084.0,Yes,93.26,2146.0,1.98,43856.0,0.41,33.7 +46500,Germany,2009,Tuberculosis,Metabolic,6.88,4.87,8.27,36-60,Other,744957,65.05,1.43,7.27,Surgery,23287.0,Yes,55.46,1347.0,9.84,61452.0,0.74,33.91 +46502,Italy,2010,Diabetes,Respiratory,0.9,4.48,3.09,19-35,Other,926894,87.03,4.02,5.99,Vaccination,10128.0,Yes,75.58,4156.0,3.52,91221.0,0.89,86.67 +46504,Argentina,2022,Ebola,Respiratory,7.19,7.35,5.8,61+,Other,503674,62.57,0.7,4.67,Surgery,27242.0,Yes,87.52,3759.0,6.81,82131.0,0.55,39.7 +46509,Canada,2004,Asthma,Autoimmune,15.4,8.77,6.46,0-18,Female,244543,80.9,4.84,3.75,Vaccination,999.0,No,59.27,3272.0,3.73,12828.0,0.45,29.85 +46512,France,2011,Polio,Bacterial,3.13,8.83,1.94,0-18,Female,309599,58.89,4.74,8.71,Medication,23184.0,Yes,67.41,662.0,1.57,85388.0,0.58,74.26 +46517,Nigeria,2018,Parkinson's Disease,Metabolic,10.96,14.29,0.6,36-60,Female,344326,58.04,2.81,8.82,Surgery,26827.0,Yes,88.23,3136.0,4.63,68389.0,0.9,72.65 +46519,UK,2003,Influenza,Respiratory,11.28,0.84,4.62,36-60,Other,750540,70.76,1.35,4.28,Vaccination,27916.0,No,97.2,602.0,2.89,97931.0,0.41,20.31 +46521,Nigeria,2021,Dengue,Viral,6.02,11.14,1.35,36-60,Male,627116,99.7,4.56,5.15,Surgery,46705.0,Yes,71.53,2474.0,6.26,25036.0,0.84,65.82 +46524,Germany,2022,Cholera,Chronic,6.21,13.39,2.78,0-18,Male,735190,79.35,3.21,4.43,Surgery,20497.0,Yes,78.3,2500.0,4.7,42797.0,0.79,71.11 +46530,Brazil,2023,Tuberculosis,Parasitic,16.78,10.76,0.46,19-35,Female,303909,66.97,0.96,1.66,Surgery,45653.0,No,52.46,2718.0,1.76,32418.0,0.81,64.89 +46531,India,2002,COVID-19,Genetic,17.87,12.6,5.21,61+,Female,266188,66.18,4.24,2.73,Medication,42355.0,Yes,98.02,2628.0,6.71,77541.0,0.7,54.05 +46533,Australia,2005,Ebola,Respiratory,7.13,11.26,4.93,61+,Other,639141,79.67,0.75,5.66,Medication,3325.0,Yes,71.14,2865.0,8.96,38588.0,0.84,66.78 +46549,UK,2005,Hepatitis,Genetic,19.54,5.69,0.13,19-35,Male,348603,99.86,0.6,2.88,Medication,28717.0,No,54.93,4553.0,5.43,6153.0,0.66,48.72 +46555,Russia,2016,Rabies,Cardiovascular,3.39,5.66,7.31,61+,Other,901700,60.81,0.67,5.91,Therapy,6105.0,Yes,52.58,2890.0,4.18,76641.0,0.5,22.04 +46557,Turkey,2007,Zika,Cardiovascular,18.85,8.51,4.89,19-35,Female,241708,56.63,2.14,4.93,Vaccination,42535.0,Yes,75.32,2527.0,0.24,11166.0,0.43,65.04 +46558,Brazil,2016,Hepatitis,Parasitic,6.51,8.08,3.84,36-60,Female,253827,50.85,1.69,4.35,Vaccination,36347.0,No,59.97,4777.0,2.31,35913.0,0.58,31.07 +46563,Australia,2019,Zika,Autoimmune,4.64,4.8,8.2,61+,Female,561169,93.04,4.15,1.17,Surgery,3210.0,No,59.15,3698.0,7.13,93601.0,0.48,66.8 +46571,Indonesia,2021,Measles,Chronic,7.57,10.86,9.82,0-18,Female,690516,53.34,2.77,4.54,Vaccination,6905.0,Yes,72.27,2078.0,3.09,96933.0,0.85,80.78 +46572,Nigeria,2002,Rabies,Autoimmune,1.83,11.12,6.01,61+,Other,254992,70.5,2.06,7.67,Medication,6511.0,No,87.09,518.0,3.62,87753.0,0.72,42.96 +46575,Russia,2006,Ebola,Chronic,17.7,10.43,2.25,19-35,Female,704097,69.97,2.81,3.82,Surgery,41038.0,No,91.44,2945.0,2.6,25075.0,0.72,39.24 +46579,Italy,2019,Cancer,Respiratory,9.08,11.87,9.06,36-60,Other,721999,94.49,4.18,9.84,Surgery,43872.0,No,94.01,2995.0,1.74,85272.0,0.77,59.41 +46584,Italy,2010,HIV/AIDS,Bacterial,15.89,14.42,7.24,36-60,Other,223360,81.88,2.81,1.23,Surgery,38350.0,Yes,66.65,505.0,6.95,69055.0,0.72,71.62 +46586,Canada,2010,Leprosy,Cardiovascular,18.07,13.95,6.36,19-35,Male,243447,97.67,3.2,4.76,Surgery,12545.0,No,84.39,1886.0,3.66,31098.0,0.4,26.24 +46587,China,2002,Hepatitis,Bacterial,8.18,4.58,1.87,61+,Male,996016,69.8,2.26,3.62,Therapy,3384.0,No,88.47,4049.0,7.18,74081.0,0.74,27.06 +46589,Nigeria,2017,Tuberculosis,Parasitic,17.99,10.44,5.95,0-18,Female,452982,54.99,4.29,7.03,Medication,44361.0,No,90.01,1155.0,8.19,39704.0,0.86,77.71 +46593,China,2015,Hepatitis,Chronic,5.18,7.84,6.59,19-35,Female,54596,73.05,1.5,4.09,Surgery,47018.0,Yes,70.72,2543.0,7.64,86255.0,0.54,51.06 +46594,Brazil,2024,Dengue,Autoimmune,2.62,2.38,6.18,0-18,Male,196130,98.74,0.88,4.73,Vaccination,25392.0,Yes,54.3,2878.0,3.77,89130.0,0.74,81.11 +46604,Australia,2009,COVID-19,Autoimmune,14.79,6.05,1.85,61+,Male,317590,92.93,1.66,4.98,Vaccination,38810.0,No,66.96,3121.0,5.07,81556.0,0.42,67.01 +46605,Brazil,2014,HIV/AIDS,Chronic,15.1,3.36,5.34,0-18,Male,913161,96.53,2.67,2.68,Surgery,49246.0,No,83.6,1046.0,7.29,39071.0,0.52,21.89 +46606,Argentina,2006,Alzheimer's Disease,Respiratory,14.33,4.44,3.46,0-18,Male,966614,92.45,1.56,3.52,Surgery,36009.0,Yes,64.32,4094.0,7.68,45152.0,0.82,29.86 +46607,Mexico,2002,Polio,Bacterial,5.01,5.45,1.23,36-60,Female,97501,74.94,4.9,7.06,Therapy,39624.0,No,82.94,2724.0,0.13,34288.0,0.58,58.36 +46608,China,2004,Hypertension,Chronic,15.45,13.94,5.39,0-18,Other,961653,71.76,2.55,8.82,Surgery,11126.0,No,77.17,4885.0,3.75,77876.0,0.68,23.2 +46619,Japan,2009,Malaria,Genetic,7.58,4.64,2.58,36-60,Other,898231,62.25,2.45,1.68,Medication,43246.0,No,78.51,881.0,10.0,79608.0,0.86,27.7 +46620,UK,2019,HIV/AIDS,Neurological,18.54,4.18,7.38,36-60,Other,899933,93.59,2.89,1.7,Therapy,19274.0,Yes,91.16,4187.0,7.82,44733.0,0.46,66.25 +46621,USA,2015,Rabies,Parasitic,9.64,1.5,6.95,19-35,Male,76680,53.41,2.9,3.01,Therapy,11258.0,Yes,98.26,2670.0,2.45,14504.0,0.68,47.22 +46638,Nigeria,2018,Diabetes,Respiratory,16.42,5.63,7.39,36-60,Other,83640,79.45,3.89,7.9,Vaccination,23013.0,No,97.49,3770.0,4.39,98544.0,0.49,56.41 +46639,France,2018,Asthma,Bacterial,1.88,6.57,3.27,19-35,Female,741860,60.16,1.99,0.64,Vaccination,27436.0,No,54.32,1522.0,1.27,11531.0,0.89,67.48 +46652,South Africa,2000,Zika,Cardiovascular,3.0,14.01,1.58,36-60,Female,492739,60.94,2.71,3.27,Surgery,11938.0,No,89.8,4318.0,4.87,28329.0,0.89,25.45 +46653,Canada,2017,Alzheimer's Disease,Neurological,12.57,13.11,8.11,0-18,Other,268419,74.36,2.41,9.64,Medication,49473.0,Yes,91.48,280.0,5.19,87297.0,0.83,79.43 +46666,South Korea,2020,Tuberculosis,Neurological,11.74,13.06,6.05,0-18,Female,471469,96.75,3.13,5.65,Therapy,11115.0,No,83.84,3579.0,7.47,41906.0,0.49,64.44 +46670,UK,2016,Dengue,Neurological,7.47,7.13,8.05,19-35,Other,660066,66.01,2.35,3.56,Vaccination,9963.0,No,84.59,3802.0,6.35,36743.0,0.73,89.2 +46671,South Africa,2003,Malaria,Parasitic,0.13,14.07,9.96,0-18,Male,576453,75.82,4.57,8.67,Therapy,37724.0,No,87.57,2836.0,7.77,91299.0,0.79,68.07 +46674,China,2008,Dengue,Metabolic,15.33,7.06,6.8,0-18,Other,789955,94.08,2.22,4.62,Surgery,20628.0,Yes,83.89,3486.0,8.65,54454.0,0.74,29.25 +46681,India,2003,Hepatitis,Autoimmune,15.56,13.1,9.38,0-18,Male,340797,97.66,4.67,2.54,Vaccination,7534.0,Yes,78.95,2928.0,4.2,45887.0,0.43,86.69 +46683,USA,2024,Alzheimer's Disease,Cardiovascular,9.08,14.07,3.78,61+,Female,885096,51.96,3.66,5.72,Medication,27961.0,Yes,95.31,802.0,0.54,50890.0,0.82,40.01 +46700,Italy,2013,Rabies,Bacterial,9.65,4.89,9.1,19-35,Male,399363,80.79,3.61,4.07,Medication,14442.0,No,53.15,2749.0,2.27,39609.0,0.55,52.73 +46703,UK,2024,Malaria,Viral,12.69,1.75,4.44,19-35,Male,925345,63.96,4.14,5.6,Therapy,20681.0,Yes,78.11,2709.0,2.6,72986.0,0.77,21.34 +46708,Argentina,2003,Ebola,Genetic,14.4,12.67,0.17,0-18,Female,990482,52.83,1.16,5.89,Vaccination,9989.0,Yes,78.85,4844.0,8.73,10379.0,0.55,42.07 +46711,Russia,2009,Cancer,Chronic,0.96,9.69,0.51,61+,Male,237767,58.97,1.74,2.35,Therapy,14774.0,No,63.46,3767.0,8.96,81187.0,0.48,64.23 +46716,Japan,2019,Diabetes,Parasitic,19.81,7.38,4.75,0-18,Other,130056,75.2,2.76,7.53,Vaccination,17666.0,No,92.36,4477.0,9.53,27630.0,0.59,88.65 +46733,UK,2023,HIV/AIDS,Parasitic,11.9,3.76,3.68,0-18,Male,331976,71.89,4.66,9.3,Therapy,46103.0,Yes,87.68,1384.0,8.66,45076.0,0.6,76.0 +46735,Argentina,2024,Cancer,Cardiovascular,2.51,1.94,1.14,36-60,Male,104392,55.95,0.89,1.83,Surgery,42156.0,No,60.86,2644.0,3.43,42267.0,0.47,24.66 +46745,Canada,2020,Zika,Neurological,12.27,3.88,2.46,0-18,Female,99818,62.99,1.88,7.8,Therapy,1193.0,No,79.93,4629.0,9.56,36987.0,0.43,61.53 +46754,Nigeria,2001,Tuberculosis,Neurological,14.07,8.23,3.17,19-35,Other,237896,53.01,3.81,7.45,Therapy,33499.0,Yes,79.99,1173.0,7.56,41295.0,0.41,59.32 +46757,Russia,2014,Alzheimer's Disease,Respiratory,13.16,11.6,7.41,0-18,Female,425777,87.58,3.71,8.48,Surgery,10035.0,Yes,61.15,4782.0,9.15,45989.0,0.83,45.66 +46775,France,2015,Leprosy,Respiratory,8.45,6.14,1.99,36-60,Other,46867,77.77,2.1,9.3,Vaccination,45116.0,Yes,93.69,3288.0,7.04,60902.0,0.61,45.52 +46782,Japan,2006,Measles,Parasitic,12.52,2.64,8.36,19-35,Male,883533,61.51,1.71,2.13,Therapy,42246.0,No,95.29,2219.0,7.76,93698.0,0.45,50.66 +46784,South Korea,2002,Hypertension,Bacterial,10.51,11.4,3.26,61+,Other,418571,82.01,4.08,6.31,Therapy,7126.0,Yes,77.69,3257.0,9.98,73538.0,0.48,76.47 +46797,Mexico,2015,Cholera,Neurological,3.54,9.6,4.0,36-60,Male,707216,77.44,4.46,2.71,Vaccination,18561.0,No,90.93,4639.0,8.22,93701.0,0.58,88.07 +46812,UK,2007,Parkinson's Disease,Genetic,1.93,7.75,3.34,61+,Male,620758,89.68,2.9,5.49,Medication,31925.0,No,65.27,698.0,1.27,20938.0,0.55,57.88 +46814,Canada,2018,Influenza,Infectious,1.51,10.54,7.01,36-60,Female,477464,56.26,2.05,5.2,Surgery,47658.0,Yes,95.67,2396.0,5.41,11079.0,0.49,26.49 +46816,Turkey,2012,Influenza,Viral,15.9,13.45,3.51,61+,Male,506435,69.8,3.95,9.07,Vaccination,10970.0,Yes,97.45,328.0,8.06,48003.0,0.57,50.17 +46821,Russia,2022,Asthma,Infectious,7.0,6.76,9.38,19-35,Other,346813,59.84,1.26,3.93,Medication,13260.0,No,83.51,4269.0,8.96,53646.0,0.75,32.35 +46823,Brazil,2023,Zika,Respiratory,6.64,12.19,6.44,61+,Male,96744,51.16,4.81,2.39,Medication,47953.0,Yes,77.37,841.0,0.52,83060.0,0.64,71.3 +46827,South Africa,2019,Cancer,Chronic,1.4,9.41,1.29,61+,Other,847600,64.08,0.76,3.57,Therapy,4955.0,Yes,89.84,2662.0,1.99,65410.0,0.88,88.42 +46838,Italy,2000,Parkinson's Disease,Metabolic,6.11,12.33,2.32,0-18,Female,362576,81.75,0.61,5.74,Therapy,15755.0,No,60.2,1856.0,2.72,86423.0,0.45,47.16 +46852,Canada,2018,Diabetes,Infectious,16.97,14.44,9.4,0-18,Other,564106,71.73,4.52,1.73,Vaccination,15526.0,No,76.68,1361.0,5.68,69887.0,0.85,45.26 +46854,Canada,2011,Dengue,Parasitic,12.81,10.3,1.51,19-35,Male,896583,61.54,3.96,0.96,Surgery,19100.0,Yes,80.19,3844.0,1.57,21899.0,0.5,89.67 +46855,Brazil,2001,Dengue,Chronic,19.5,13.89,0.57,61+,Other,648052,50.55,2.1,2.9,Medication,2563.0,Yes,93.82,427.0,5.21,5426.0,0.84,89.27 +46858,India,2020,Parkinson's Disease,Neurological,2.08,9.13,4.57,36-60,Other,396217,99.02,2.23,8.95,Surgery,39592.0,No,52.32,4861.0,8.36,99128.0,0.77,30.87 +46874,Canada,2004,Cholera,Chronic,15.79,6.3,7.87,36-60,Female,673289,98.67,1.33,7.02,Therapy,28188.0,No,91.33,1960.0,8.39,5770.0,0.83,21.83 +46879,France,2017,Polio,Bacterial,18.1,10.16,7.37,61+,Female,525231,89.16,0.66,6.46,Medication,27771.0,Yes,93.74,536.0,6.65,52891.0,0.88,64.9 +46881,Brazil,2007,Measles,Genetic,12.96,1.7,7.81,61+,Other,65576,85.39,1.71,7.48,Surgery,19939.0,Yes,83.63,387.0,5.1,30719.0,0.65,50.33 +46883,Australia,2004,Asthma,Chronic,10.71,8.57,1.68,0-18,Other,298851,88.6,4.47,1.11,Medication,29650.0,Yes,92.22,4761.0,4.57,6869.0,0.48,66.87 +46888,Argentina,2020,Polio,Neurological,15.32,1.98,4.85,0-18,Other,984638,86.74,3.37,4.85,Surgery,16518.0,Yes,98.87,1446.0,6.03,77178.0,0.74,80.4 +46892,China,2016,Ebola,Neurological,18.15,13.2,3.58,36-60,Other,411991,98.92,4.26,9.84,Medication,33563.0,Yes,57.2,1157.0,9.91,34728.0,0.6,77.67 +46897,UK,2000,Hepatitis,Cardiovascular,3.0,10.33,0.46,36-60,Female,947050,73.51,3.28,1.09,Medication,30727.0,Yes,71.84,4668.0,2.38,36194.0,0.48,74.06 +46898,Russia,2004,Hypertension,Neurological,7.48,8.94,3.16,0-18,Male,598878,77.19,3.84,2.25,Therapy,6337.0,No,54.42,3995.0,2.59,96823.0,0.88,75.78 +46907,Saudi Arabia,2007,Asthma,Genetic,15.32,8.2,7.18,19-35,Male,518462,92.43,1.83,8.25,Surgery,46554.0,No,76.29,1133.0,2.01,31482.0,0.75,35.16 +46910,Italy,2001,Zika,Bacterial,10.72,3.76,3.91,36-60,Male,84095,99.8,2.25,6.77,Surgery,35361.0,No,60.01,2229.0,1.08,1622.0,0.48,31.1 +46914,Russia,2021,Asthma,Metabolic,14.2,3.6,6.91,19-35,Female,561150,54.99,1.6,1.37,Vaccination,19786.0,Yes,51.88,2603.0,7.16,73231.0,0.54,28.05 +46919,China,2006,HIV/AIDS,Parasitic,10.89,12.62,6.6,19-35,Male,844589,67.76,4.92,9.31,Therapy,46367.0,No,60.1,2566.0,2.6,69910.0,0.78,26.73 +46926,USA,2007,Diabetes,Genetic,1.45,7.68,2.37,61+,Other,774366,99.87,3.34,6.93,Vaccination,39227.0,Yes,55.26,4319.0,2.1,99438.0,0.84,75.1 +46929,Indonesia,2023,Tuberculosis,Metabolic,17.21,5.91,8.05,61+,Male,481512,85.85,3.94,3.35,Vaccination,22187.0,Yes,87.4,170.0,8.49,3145.0,0.74,61.02 +46930,China,2014,Rabies,Bacterial,14.71,2.5,7.21,61+,Male,202318,93.05,1.92,8.93,Therapy,8124.0,No,57.57,1450.0,6.02,62063.0,0.74,40.49 +46931,UK,2005,Diabetes,Metabolic,3.59,11.88,0.49,19-35,Female,850965,85.0,2.29,2.87,Medication,32976.0,Yes,95.54,2808.0,3.89,94808.0,0.55,53.64 +46933,Turkey,2008,Hepatitis,Respiratory,12.93,13.04,1.0,36-60,Male,537676,91.66,2.77,1.49,Surgery,4452.0,Yes,91.0,4791.0,0.41,31997.0,0.54,83.31 +46938,South Korea,2001,COVID-19,Cardiovascular,14.11,3.21,2.59,61+,Other,258671,62.01,3.84,6.4,Vaccination,27727.0,Yes,98.83,3751.0,3.54,44156.0,0.84,79.32 +46941,USA,2003,Cholera,Neurological,9.51,14.21,4.36,36-60,Female,698153,63.57,0.98,8.2,Therapy,43595.0,No,97.62,1964.0,2.14,43055.0,0.85,41.76 +46951,UK,2004,Cholera,Viral,2.05,6.74,6.82,61+,Male,894676,90.66,1.71,7.34,Vaccination,3339.0,Yes,79.02,3560.0,4.61,70411.0,0.47,52.01 +46953,South Korea,2018,HIV/AIDS,Bacterial,11.63,9.15,2.67,61+,Female,343783,77.15,1.63,5.57,Therapy,32484.0,Yes,68.0,1400.0,0.54,49741.0,0.72,38.26 +46958,South Africa,2022,Rabies,Parasitic,2.7,5.92,4.57,19-35,Other,923444,80.87,0.86,4.02,Medication,24878.0,Yes,92.52,2823.0,7.65,12996.0,0.45,41.97 +46966,UK,2008,Zika,Autoimmune,2.24,1.77,8.71,19-35,Female,979922,59.36,0.95,8.47,Medication,8310.0,No,54.19,3865.0,7.37,42936.0,0.58,47.29 +46973,Italy,2002,Dengue,Autoimmune,18.54,6.81,2.82,19-35,Male,210732,67.65,3.96,2.45,Therapy,31809.0,No,65.94,930.0,9.26,79757.0,0.84,34.12 +46982,USA,2006,Influenza,Viral,10.25,0.91,2.23,0-18,Female,429135,87.41,4.1,0.68,Vaccination,10770.0,Yes,82.77,4310.0,0.85,67292.0,0.86,89.95 +46987,Turkey,2010,Hepatitis,Parasitic,10.55,8.86,9.64,61+,Female,734580,57.83,0.85,1.27,Therapy,22066.0,No,95.52,604.0,2.83,38144.0,0.57,87.47 +46994,South Korea,2005,Diabetes,Metabolic,10.16,3.16,4.36,36-60,Female,394398,55.89,1.88,5.66,Medication,47923.0,No,67.91,2677.0,0.85,14453.0,0.56,84.58 +46997,Australia,2013,Measles,Bacterial,8.18,6.45,0.68,19-35,Female,850494,60.61,2.17,3.81,Medication,21863.0,Yes,86.75,2896.0,6.55,90519.0,0.41,58.72 +47001,Mexico,2002,COVID-19,Neurological,7.59,10.28,6.54,61+,Female,129853,57.57,4.6,6.24,Vaccination,7308.0,No,79.42,1494.0,2.11,15216.0,0.67,67.49 +47003,Japan,2024,Alzheimer's Disease,Respiratory,14.13,8.34,1.53,0-18,Female,558472,72.22,1.92,0.95,Surgery,1640.0,Yes,67.09,2235.0,6.92,28256.0,0.89,59.61 +47016,Turkey,2014,Polio,Metabolic,15.76,4.03,1.67,19-35,Female,738606,64.83,4.09,4.81,Therapy,18615.0,Yes,76.89,3235.0,8.89,81138.0,0.68,23.01 +47026,Saudi Arabia,2021,Cholera,Genetic,16.02,7.46,2.18,19-35,Male,44535,63.32,4.18,7.25,Medication,4564.0,No,69.9,1491.0,5.17,44356.0,0.72,43.76 +47027,India,2005,Polio,Chronic,0.26,1.07,5.55,0-18,Male,484612,89.98,3.87,4.75,Medication,43227.0,Yes,98.41,4966.0,8.24,56306.0,0.74,23.05 +47028,Germany,2003,Cholera,Bacterial,8.79,5.31,9.69,36-60,Male,276118,57.99,3.65,8.77,Surgery,16322.0,Yes,97.98,706.0,6.95,30815.0,0.49,52.33 +47046,Japan,2013,Parkinson's Disease,Metabolic,8.44,11.98,9.65,36-60,Other,484258,76.3,1.1,6.16,Vaccination,42975.0,No,68.99,4200.0,9.62,51396.0,0.54,29.42 +47047,Italy,2006,Hepatitis,Parasitic,10.8,2.47,5.92,0-18,Female,637580,96.28,3.13,0.89,Surgery,46755.0,No,69.41,1691.0,1.89,41830.0,0.79,69.69 +47053,Nigeria,2001,Ebola,Metabolic,5.79,2.71,1.07,36-60,Male,210447,55.88,3.66,3.57,Medication,27682.0,Yes,73.96,2173.0,6.34,5931.0,0.83,62.67 +47061,Germany,2004,Diabetes,Cardiovascular,3.12,12.59,9.85,36-60,Female,445469,86.1,4.17,0.79,Surgery,49098.0,Yes,70.58,1529.0,8.39,97088.0,0.67,43.64 +47064,Indonesia,2004,Dengue,Parasitic,15.35,8.93,8.59,19-35,Male,787471,67.71,2.92,9.1,Therapy,29398.0,Yes,77.53,2701.0,2.65,14688.0,0.42,80.27 +47070,Brazil,2008,Diabetes,Bacterial,6.48,9.92,7.48,36-60,Other,442866,84.27,1.95,7.37,Therapy,17287.0,Yes,63.42,835.0,6.13,68602.0,0.57,62.22 +47071,Argentina,2007,Diabetes,Viral,12.69,9.5,5.67,19-35,Other,625066,76.97,4.11,9.54,Medication,28096.0,Yes,85.83,1739.0,7.75,30472.0,0.44,73.73 +47073,UK,2019,Measles,Autoimmune,19.05,8.17,7.01,61+,Female,923560,90.18,3.6,0.73,Medication,24207.0,Yes,51.4,875.0,8.96,20961.0,0.48,63.38 +47076,Indonesia,2009,Leprosy,Genetic,0.14,13.51,8.67,19-35,Female,965202,56.04,1.74,9.49,Surgery,13079.0,No,84.6,1486.0,8.13,7483.0,0.71,72.19 +47077,Saudi Arabia,2023,Zika,Infectious,3.99,13.41,8.04,0-18,Other,240886,70.26,3.39,7.62,Medication,45149.0,No,73.59,1799.0,3.73,11626.0,0.59,84.22 +47079,Germany,2021,Zika,Genetic,2.55,13.01,5.28,0-18,Female,595802,77.0,2.45,8.66,Surgery,47737.0,Yes,82.78,506.0,8.03,7070.0,0.5,60.09 +47085,UK,2014,Dengue,Viral,11.05,11.53,5.69,36-60,Other,801248,80.58,0.88,7.69,Vaccination,47346.0,No,50.36,1059.0,4.39,61573.0,0.5,40.51 +47088,Argentina,2009,HIV/AIDS,Autoimmune,5.85,8.53,1.96,0-18,Female,994670,89.62,1.43,0.95,Medication,9477.0,No,52.17,2895.0,3.42,54730.0,0.55,41.12 +47091,Indonesia,2002,Zika,Infectious,3.32,10.17,4.01,0-18,Female,334450,68.94,2.1,7.13,Surgery,14920.0,Yes,60.72,3168.0,6.1,56830.0,0.77,82.79 +47113,Australia,2008,Malaria,Viral,5.6,11.12,2.67,0-18,Male,904192,83.97,0.92,0.99,Vaccination,18584.0,Yes,60.28,2798.0,7.04,40601.0,0.47,74.4 +47114,Indonesia,2011,Hepatitis,Infectious,3.18,4.59,0.7,61+,Female,635543,70.18,2.09,8.07,Vaccination,45075.0,No,81.89,1475.0,1.82,22053.0,0.46,52.9 +47121,Turkey,2011,Ebola,Parasitic,0.13,9.37,6.59,0-18,Male,605820,81.31,1.78,0.88,Medication,4520.0,Yes,72.92,231.0,4.06,44989.0,0.58,60.82 +47132,China,2009,Measles,Chronic,0.63,14.1,4.12,61+,Other,311118,91.89,2.63,3.53,Medication,260.0,Yes,60.53,4927.0,4.12,27286.0,0.72,75.88 +47143,Saudi Arabia,2003,Zika,Respiratory,9.82,7.42,2.33,19-35,Male,411551,99.15,0.53,7.76,Vaccination,25959.0,No,85.17,2182.0,8.39,67036.0,0.69,54.57 +47144,Argentina,2022,Parkinson's Disease,Genetic,1.91,5.04,6.06,61+,Male,937827,94.17,1.63,7.95,Therapy,4196.0,No,69.24,889.0,6.77,30626.0,0.5,61.95 +47148,Indonesia,2024,COVID-19,Autoimmune,13.44,6.32,5.08,61+,Male,219829,97.88,3.34,0.96,Therapy,17394.0,Yes,76.13,1874.0,9.91,12837.0,0.51,61.5 +47149,Canada,2001,Asthma,Bacterial,16.65,9.91,5.33,19-35,Male,553874,68.96,1.58,3.88,Medication,16735.0,No,76.58,1439.0,3.44,41085.0,0.81,34.73 +47159,Saudi Arabia,2022,Hepatitis,Metabolic,19.9,5.81,6.2,0-18,Other,902525,61.0,3.9,6.85,Medication,31739.0,Yes,67.74,1806.0,4.29,82658.0,0.52,70.04 +47162,South Africa,2003,Malaria,Infectious,14.88,10.16,8.17,61+,Female,378825,96.7,2.74,1.97,Medication,36023.0,No,58.06,4775.0,5.6,48624.0,0.71,71.06 +47168,Nigeria,2024,Dengue,Metabolic,5.72,13.63,4.21,0-18,Other,822665,89.42,4.7,2.96,Therapy,12007.0,No,70.8,420.0,4.96,82498.0,0.73,33.98 +47169,Indonesia,2016,COVID-19,Viral,14.74,14.01,7.89,61+,Other,271900,71.53,4.94,2.61,Vaccination,11375.0,Yes,77.71,3718.0,3.84,73370.0,0.85,39.87 +47174,South Africa,2003,Malaria,Viral,8.36,9.27,7.73,36-60,Other,893892,59.57,3.31,6.01,Therapy,18535.0,No,87.36,4178.0,9.25,70769.0,0.67,21.5 +47183,South Africa,2018,Asthma,Genetic,17.84,6.38,5.02,36-60,Male,54352,78.06,2.82,3.92,Medication,4607.0,No,73.59,2226.0,3.92,96796.0,0.65,35.38 +47192,China,2002,Asthma,Chronic,17.11,12.75,5.63,36-60,Male,651479,69.37,1.6,7.93,Surgery,35201.0,Yes,93.1,3607.0,9.59,10926.0,0.78,44.62 +47197,South Africa,2008,Polio,Neurological,15.82,4.65,1.21,36-60,Other,55065,95.71,3.11,8.56,Medication,28021.0,Yes,55.5,4548.0,6.44,76003.0,0.61,65.79 +47204,Turkey,2009,Dengue,Metabolic,2.67,8.93,4.18,61+,Female,968057,92.65,0.61,4.54,Vaccination,28423.0,No,80.86,4119.0,6.75,51986.0,0.69,32.69 +47227,Russia,2011,Cholera,Parasitic,16.7,4.18,4.13,61+,Male,964819,70.23,2.23,2.93,Medication,29262.0,No,81.78,124.0,0.7,80867.0,0.87,55.31 +47229,USA,2016,HIV/AIDS,Bacterial,12.93,3.38,0.72,19-35,Other,824277,90.25,3.21,1.17,Vaccination,40570.0,Yes,78.12,335.0,1.82,70225.0,0.72,84.53 +47233,China,2002,Diabetes,Genetic,0.27,7.75,7.94,19-35,Female,52607,88.43,3.34,5.04,Medication,14760.0,No,93.06,2036.0,4.99,25563.0,0.63,62.48 +47239,South Korea,2002,Hepatitis,Bacterial,2.27,8.45,5.43,0-18,Other,294283,81.15,1.79,6.59,Surgery,11938.0,No,75.3,3710.0,6.72,15499.0,0.81,62.75 +47241,Indonesia,2021,Cholera,Viral,4.43,8.52,0.51,61+,Female,700711,85.37,3.09,4.27,Surgery,39303.0,No,91.74,1545.0,4.87,46480.0,0.46,38.89 +47244,USA,2023,Diabetes,Infectious,16.18,9.95,9.81,19-35,Other,97773,69.8,3.03,2.68,Vaccination,5688.0,Yes,70.06,2675.0,8.71,37465.0,0.64,29.48 +47246,Japan,2002,Rabies,Genetic,16.72,12.86,7.5,19-35,Male,559203,88.51,1.63,2.9,Therapy,35969.0,Yes,72.65,685.0,3.33,11008.0,0.66,20.86 +47253,USA,2017,Tuberculosis,Infectious,17.69,0.69,1.19,0-18,Female,262361,79.18,2.51,9.75,Therapy,24622.0,No,66.79,2704.0,4.68,65299.0,0.83,56.05 +47255,Japan,2004,Dengue,Chronic,0.26,6.42,1.53,0-18,Male,545722,83.28,3.7,3.95,Therapy,48228.0,Yes,61.76,737.0,8.99,50878.0,0.83,79.85 +47266,China,2011,Zika,Viral,9.38,3.72,1.6,61+,Other,532468,67.58,2.44,7.41,Surgery,13643.0,Yes,80.45,4810.0,2.16,28033.0,0.42,65.14 +47274,UK,2009,HIV/AIDS,Neurological,15.09,7.71,3.45,36-60,Female,449100,78.92,3.23,5.0,Vaccination,5391.0,No,54.88,2149.0,9.78,20044.0,0.78,63.61 +47279,Canada,2007,Hepatitis,Parasitic,16.17,12.79,9.8,0-18,Male,668436,78.71,1.58,4.67,Vaccination,13867.0,Yes,87.34,1154.0,7.61,23675.0,0.81,54.92 +47280,Indonesia,2014,Malaria,Chronic,12.59,7.47,3.37,61+,Male,448750,76.1,0.79,5.96,Medication,42521.0,No,58.08,3715.0,6.85,67882.0,0.4,63.69 +47285,Mexico,2023,Asthma,Parasitic,12.29,7.12,6.31,19-35,Other,71831,78.67,3.94,5.38,Medication,49480.0,Yes,60.96,3203.0,3.56,7158.0,0.4,86.77 +47288,France,2011,Dengue,Parasitic,11.67,2.41,7.7,0-18,Other,36344,61.52,3.62,6.93,Vaccination,25854.0,No,97.43,4545.0,7.51,6226.0,0.55,87.08 +47301,Russia,2015,Alzheimer's Disease,Viral,15.89,9.99,7.81,0-18,Other,434273,57.46,1.83,2.84,Medication,17268.0,Yes,95.37,1545.0,7.23,36412.0,0.48,71.46 +47303,Argentina,2018,Measles,Parasitic,1.04,5.76,0.63,36-60,Male,570345,83.64,2.61,5.05,Surgery,26271.0,Yes,55.9,4332.0,5.19,86174.0,0.82,70.28 +47314,China,2000,Alzheimer's Disease,Neurological,13.25,10.9,2.62,36-60,Other,836943,98.97,3.54,0.84,Vaccination,40617.0,Yes,91.16,3243.0,2.9,48317.0,0.57,32.23 +47315,Mexico,2012,Hypertension,Parasitic,18.77,13.37,8.58,19-35,Female,696558,56.53,0.95,3.88,Medication,13301.0,Yes,68.49,2526.0,8.23,91156.0,0.79,58.57 +47320,Mexico,2011,Dengue,Bacterial,2.91,14.96,8.4,19-35,Female,764327,89.0,2.47,7.43,Medication,6762.0,Yes,67.84,1822.0,3.78,57113.0,0.83,65.33 +47331,UK,2004,Malaria,Cardiovascular,8.89,9.28,0.34,36-60,Male,85486,56.34,2.93,4.37,Therapy,24025.0,Yes,58.69,2805.0,5.23,39749.0,0.77,27.77 +47337,Germany,2005,Cholera,Autoimmune,18.9,3.23,0.52,61+,Male,922599,59.9,2.81,1.96,Medication,32989.0,Yes,93.75,2766.0,2.64,75027.0,0.43,57.13 +47338,South Africa,2001,Influenza,Cardiovascular,17.35,14.24,1.88,36-60,Female,73351,84.66,4.57,2.76,Vaccination,39582.0,No,65.92,3541.0,5.97,19872.0,0.74,47.28 +47340,Japan,2002,Diabetes,Parasitic,18.77,2.5,5.55,36-60,Other,588827,78.78,4.98,6.72,Vaccination,16084.0,No,50.42,1219.0,4.0,22093.0,0.86,74.69 +47343,Indonesia,2016,Ebola,Chronic,8.62,9.31,6.38,36-60,Female,866926,57.36,4.77,1.41,Therapy,4937.0,Yes,61.15,3641.0,7.27,2441.0,0.84,40.9 +47344,South Korea,2016,Ebola,Respiratory,5.65,7.87,8.39,19-35,Female,52881,69.12,4.02,9.46,Therapy,2478.0,No,56.01,1625.0,5.08,5560.0,0.85,39.03 +47345,Turkey,2007,Hepatitis,Chronic,9.3,11.6,8.84,19-35,Female,962633,61.02,1.5,6.01,Medication,2120.0,No,86.97,3884.0,1.4,89766.0,0.54,29.77 +47346,Saudi Arabia,2002,Parkinson's Disease,Neurological,1.2,2.25,2.49,19-35,Female,282377,60.7,2.5,6.11,Therapy,49516.0,Yes,93.42,3578.0,0.82,16701.0,0.49,34.44 +47349,South Korea,2004,Ebola,Parasitic,18.94,9.25,5.05,0-18,Female,253687,94.75,4.45,1.58,Medication,16753.0,Yes,80.98,3052.0,4.61,18570.0,0.62,75.53 +47352,Russia,2003,Tuberculosis,Genetic,8.94,1.22,8.25,0-18,Other,131949,51.69,1.12,3.14,Surgery,25197.0,No,76.06,3315.0,2.43,40913.0,0.41,42.36 +47361,Germany,2005,Influenza,Infectious,17.49,8.12,7.5,61+,Male,746175,88.67,3.99,3.91,Surgery,29402.0,Yes,82.35,2038.0,3.12,38239.0,0.87,40.33 +47365,China,2012,Malaria,Metabolic,6.62,13.5,9.27,19-35,Male,76680,65.51,4.77,6.38,Medication,23056.0,Yes,67.58,4621.0,7.54,62807.0,0.42,61.09 +47368,South Korea,2007,Cholera,Viral,12.2,7.97,1.92,0-18,Male,203793,90.52,2.21,2.91,Medication,42349.0,No,84.58,4118.0,8.29,84742.0,0.87,87.09 +47369,Argentina,2017,COVID-19,Viral,17.27,7.88,7.38,61+,Male,482572,66.3,1.4,8.22,Therapy,15332.0,Yes,50.29,776.0,1.53,37516.0,0.74,24.62 +47370,Japan,2010,Hypertension,Neurological,7.28,9.2,0.25,19-35,Male,917187,85.53,4.29,6.04,Vaccination,18907.0,Yes,87.2,984.0,1.42,51530.0,0.81,80.51 +47371,Mexico,2009,Diabetes,Viral,11.02,8.61,2.35,19-35,Other,611426,92.37,2.77,1.48,Medication,14245.0,Yes,90.92,1722.0,6.04,85205.0,0.77,73.45 +47376,Nigeria,2023,Ebola,Autoimmune,12.07,5.62,1.46,36-60,Other,8897,61.61,1.77,7.89,Medication,34419.0,Yes,66.59,3438.0,3.59,47250.0,0.54,54.87 +47380,Saudi Arabia,2007,Zika,Parasitic,19.77,5.87,8.15,19-35,Female,997417,59.08,3.63,7.6,Medication,10672.0,Yes,57.52,203.0,6.75,14527.0,0.77,70.08 +47383,Argentina,2021,Polio,Viral,7.12,8.59,0.39,0-18,Male,190216,76.03,4.05,7.06,Surgery,48361.0,No,53.42,1969.0,8.1,80595.0,0.9,48.39 +47388,Russia,2021,Rabies,Parasitic,2.04,12.65,9.63,61+,Male,43277,91.18,4.25,8.76,Medication,26166.0,No,55.15,576.0,7.88,52190.0,0.5,66.38 +47392,UK,2000,Dengue,Infectious,3.92,11.95,2.89,19-35,Male,185925,95.74,2.65,7.13,Therapy,25265.0,No,50.53,4163.0,9.42,71466.0,0.75,38.97 +47393,South Korea,2001,Asthma,Parasitic,17.99,10.52,4.6,19-35,Male,906774,61.48,3.23,4.14,Therapy,39213.0,Yes,69.62,3862.0,2.06,34983.0,0.64,37.26 +47394,Italy,2024,Rabies,Parasitic,6.55,2.74,5.89,36-60,Male,230005,71.58,1.6,7.66,Vaccination,32752.0,Yes,71.35,1172.0,2.3,67765.0,0.89,55.32 +47396,USA,2024,Alzheimer's Disease,Neurological,15.38,7.17,5.83,0-18,Female,835212,63.87,4.82,7.96,Surgery,34406.0,No,53.79,3061.0,3.67,18447.0,0.89,37.54 +47406,Australia,2008,Hepatitis,Infectious,17.13,8.8,3.75,19-35,Male,64089,99.05,2.44,5.63,Medication,2363.0,Yes,54.19,1240.0,8.59,53034.0,0.46,21.01 +47421,India,2015,Polio,Metabolic,9.99,7.86,2.83,0-18,Male,981811,70.96,1.14,9.55,Medication,45971.0,Yes,59.25,152.0,1.11,24822.0,0.68,78.07 +47423,France,2000,Zika,Viral,7.01,9.54,9.47,0-18,Other,170061,85.26,0.91,4.72,Medication,43105.0,Yes,63.18,254.0,5.32,18516.0,0.51,47.9 +47425,Russia,2011,Hypertension,Metabolic,4.74,0.61,6.27,0-18,Female,842822,76.06,3.09,2.76,Therapy,41143.0,No,69.05,2390.0,9.29,12625.0,0.82,22.33 +47426,South Korea,2021,COVID-19,Viral,3.15,8.98,8.58,61+,Male,692623,75.38,2.47,6.45,Surgery,470.0,No,68.82,974.0,4.83,30615.0,0.86,45.11 +47430,USA,2021,COVID-19,Genetic,15.97,3.25,1.3,19-35,Female,838279,86.9,3.11,5.49,Vaccination,24833.0,Yes,69.29,3339.0,2.06,10197.0,0.43,56.52 +47432,Turkey,2004,Parkinson's Disease,Genetic,13.05,2.48,5.56,0-18,Other,478945,77.86,0.98,9.04,Surgery,1346.0,No,55.45,4125.0,5.56,14082.0,0.73,30.38 +47433,Brazil,2021,HIV/AIDS,Parasitic,10.72,3.86,7.68,0-18,Male,860039,52.2,1.16,9.54,Therapy,42552.0,Yes,67.43,515.0,9.21,14526.0,0.65,20.11 +47434,China,2012,Cholera,Bacterial,8.4,1.66,1.51,61+,Other,62934,88.98,4.75,3.97,Therapy,18605.0,No,71.76,1524.0,3.71,32067.0,0.69,86.86 +47436,France,2007,Rabies,Respiratory,1.57,4.69,2.74,61+,Other,919687,79.55,4.9,6.79,Vaccination,29085.0,No,95.72,3130.0,3.17,80138.0,0.51,67.73 +47438,USA,2018,Zika,Parasitic,19.46,8.84,7.21,19-35,Other,101287,82.18,2.93,2.15,Medication,27422.0,Yes,55.32,4970.0,5.43,82092.0,0.48,53.88 +47461,UK,2022,Parkinson's Disease,Chronic,8.02,9.56,3.39,36-60,Male,814750,91.31,2.99,2.27,Medication,19227.0,Yes,91.53,2819.0,9.05,86851.0,0.68,77.99 +47464,Brazil,2008,Hypertension,Bacterial,6.47,6.73,6.42,19-35,Female,699694,54.17,3.24,5.12,Surgery,30289.0,No,73.79,3049.0,7.12,93258.0,0.55,35.45 +47468,China,2007,Asthma,Chronic,19.13,5.56,8.78,0-18,Male,552161,64.3,0.87,1.66,Medication,29823.0,No,78.55,3327.0,5.76,72264.0,0.63,25.81 +47486,South Africa,2006,Hepatitis,Genetic,18.53,0.37,7.98,0-18,Other,500368,71.83,2.95,9.99,Medication,35223.0,Yes,91.61,2165.0,1.11,84502.0,0.64,56.82 +47487,USA,2003,Polio,Neurological,18.53,1.29,5.41,0-18,Female,673285,52.54,4.71,9.4,Vaccination,30985.0,No,55.38,2048.0,6.45,29603.0,0.88,86.66 +47490,USA,2023,Rabies,Chronic,2.81,11.35,2.73,36-60,Other,25608,94.05,1.65,9.0,Surgery,25157.0,No,53.5,2098.0,7.26,95008.0,0.84,63.79 +47494,Italy,2024,Hepatitis,Neurological,14.86,4.16,3.57,19-35,Female,741213,58.09,3.39,2.92,Medication,48050.0,No,52.77,362.0,1.99,20051.0,0.87,37.15 +47503,Brazil,2000,Ebola,Bacterial,8.78,8.46,0.17,36-60,Other,454957,57.03,4.12,1.05,Medication,2555.0,Yes,65.47,1963.0,8.06,70521.0,0.48,71.97 +47505,China,2006,HIV/AIDS,Metabolic,10.15,12.15,3.53,19-35,Female,775224,65.13,0.65,4.08,Medication,7371.0,Yes,96.62,1280.0,4.21,25843.0,0.45,68.58 +47512,Canada,2020,Alzheimer's Disease,Infectious,5.38,8.39,4.42,19-35,Female,783168,70.03,4.08,4.08,Therapy,44757.0,No,72.82,4895.0,5.25,97319.0,0.81,26.97 +47515,Mexico,2011,Polio,Respiratory,1.61,4.23,8.96,19-35,Female,295382,93.48,1.23,8.03,Medication,22948.0,Yes,52.21,4244.0,4.84,69989.0,0.51,64.32 +47527,China,2002,Diabetes,Genetic,15.34,0.7,5.04,36-60,Male,486921,72.21,4.1,7.86,Surgery,10532.0,Yes,56.16,2214.0,0.91,87176.0,0.42,54.05 +47528,India,2017,Polio,Viral,12.51,5.28,4.74,36-60,Other,864729,67.47,4.87,1.31,Medication,9573.0,Yes,83.13,2079.0,1.06,85294.0,0.71,25.66 +47537,Argentina,2007,HIV/AIDS,Cardiovascular,18.83,8.72,1.22,19-35,Male,564955,63.0,1.27,8.31,Therapy,35299.0,Yes,61.55,3362.0,3.43,90768.0,0.68,84.93 +47538,USA,2018,Measles,Parasitic,6.6,11.56,3.24,61+,Female,474003,91.84,4.15,8.08,Medication,2543.0,No,94.27,4122.0,6.6,15007.0,0.83,56.73 +47542,UK,2019,Tuberculosis,Bacterial,1.5,11.73,6.36,61+,Other,160227,64.26,3.18,5.71,Medication,47029.0,Yes,73.85,2812.0,0.22,3717.0,0.5,49.73 +47543,Italy,2003,Asthma,Chronic,14.21,7.6,6.16,19-35,Other,408134,99.38,4.8,0.8,Medication,2353.0,Yes,50.26,3825.0,1.86,63252.0,0.48,28.69 +47545,Indonesia,2003,Parkinson's Disease,Neurological,9.29,8.22,4.66,0-18,Male,327062,76.86,1.55,5.73,Medication,17014.0,No,81.33,1722.0,3.38,36701.0,0.64,82.76 +47547,Russia,2000,Hypertension,Neurological,10.44,0.33,8.16,36-60,Male,219060,76.23,4.13,2.28,Therapy,33574.0,Yes,83.76,2694.0,0.48,52791.0,0.48,35.38 +47555,Brazil,2019,Cholera,Cardiovascular,3.42,5.99,8.3,19-35,Male,134017,50.57,2.89,7.04,Medication,47533.0,No,73.48,3612.0,8.56,96622.0,0.6,56.13 +47559,Mexico,2015,Hypertension,Cardiovascular,7.48,5.74,4.52,0-18,Female,687542,57.0,0.65,3.27,Therapy,35295.0,No,77.81,4111.0,7.74,40112.0,0.77,50.93 +47560,Indonesia,2018,Ebola,Infectious,11.41,11.13,1.26,19-35,Female,664142,85.88,2.28,6.13,Medication,40947.0,Yes,85.28,4175.0,6.73,47688.0,0.41,64.72 +47561,Germany,2005,COVID-19,Respiratory,4.32,1.51,1.66,0-18,Female,130392,81.37,2.28,9.65,Therapy,9123.0,No,69.49,4181.0,0.21,72390.0,0.51,43.82 +47567,Saudi Arabia,2008,Malaria,Genetic,1.59,13.28,5.79,36-60,Female,622229,73.44,3.29,1.38,Surgery,36435.0,Yes,61.98,4966.0,6.16,64934.0,0.56,34.86 +47569,Mexico,2001,Influenza,Viral,0.72,6.96,8.33,19-35,Male,734867,78.47,0.67,3.98,Therapy,28625.0,Yes,89.96,1113.0,9.79,27614.0,0.72,28.51 +47571,Mexico,2018,Rabies,Viral,11.81,10.51,7.29,0-18,Male,487894,97.55,4.76,0.95,Vaccination,17341.0,No,69.28,83.0,1.82,91569.0,0.85,46.88 +47574,Mexico,2007,Cholera,Viral,8.2,3.34,6.71,36-60,Other,733524,74.87,1.26,7.39,Therapy,3957.0,Yes,68.21,1548.0,4.06,89717.0,0.52,50.16 +47590,Mexico,2012,Tuberculosis,Infectious,4.09,2.92,8.28,19-35,Male,889844,51.58,1.53,1.69,Vaccination,5077.0,No,67.32,4786.0,8.93,25830.0,0.84,84.8 +47592,Saudi Arabia,2021,Influenza,Respiratory,4.54,12.77,1.54,36-60,Male,114652,65.11,1.85,4.2,Therapy,15082.0,No,93.13,3083.0,7.27,84371.0,0.59,54.8 +47598,South Korea,2004,Leprosy,Chronic,5.04,10.97,4.7,61+,Male,668243,63.54,2.86,5.89,Medication,16810.0,No,90.76,3588.0,0.54,70239.0,0.53,78.11 +47600,Canada,2017,COVID-19,Infectious,19.28,0.98,5.72,36-60,Female,824720,70.67,3.44,1.9,Therapy,40722.0,Yes,75.85,4109.0,7.68,6854.0,0.79,47.78 +47601,South Africa,2003,Cancer,Bacterial,15.72,5.11,2.04,61+,Male,98730,63.28,4.73,3.01,Vaccination,43865.0,Yes,74.03,4166.0,1.05,72075.0,0.79,20.08 +47607,Nigeria,2014,Hepatitis,Viral,7.11,5.33,3.91,61+,Other,598506,73.55,2.45,4.64,Vaccination,31948.0,No,81.09,2892.0,5.93,20224.0,0.79,36.45 +47609,Nigeria,2005,Tuberculosis,Neurological,15.64,11.4,3.0,19-35,Other,203780,97.14,2.44,5.22,Medication,21840.0,Yes,90.84,2832.0,9.13,97911.0,0.54,33.71 +47612,Turkey,2004,Tuberculosis,Metabolic,7.24,13.08,8.39,19-35,Other,176243,52.07,1.64,5.83,Medication,47865.0,No,70.11,670.0,4.2,63936.0,0.82,30.34 +47613,Turkey,2023,Diabetes,Chronic,4.81,2.42,5.02,19-35,Male,484644,59.12,1.24,8.08,Surgery,8450.0,No,53.0,4519.0,2.2,83805.0,0.58,66.44 +47619,South Korea,2001,Ebola,Genetic,9.41,6.07,5.2,61+,Other,446443,72.14,2.1,8.95,Surgery,29194.0,Yes,66.71,981.0,5.38,38617.0,0.61,64.86 +47628,UK,2019,Hepatitis,Bacterial,18.52,10.46,1.79,61+,Male,292493,78.46,1.16,8.11,Vaccination,4658.0,Yes,78.41,1023.0,1.61,79188.0,0.46,70.88 +47636,Nigeria,2022,Polio,Parasitic,4.93,2.31,6.14,19-35,Other,561846,58.97,3.77,7.07,Surgery,7744.0,Yes,77.15,616.0,6.29,32630.0,0.5,85.16 +47640,France,2011,Zika,Chronic,4.52,6.96,8.18,36-60,Other,184709,79.88,3.43,2.86,Vaccination,36215.0,Yes,89.72,4210.0,2.84,46489.0,0.63,70.56 +47642,France,2018,Zika,Neurological,16.45,2.21,2.98,19-35,Other,763627,61.6,3.86,6.43,Surgery,21966.0,No,90.49,3010.0,0.82,98407.0,0.52,62.5 +47649,Indonesia,2017,Hepatitis,Chronic,15.22,9.48,4.9,19-35,Female,865619,70.74,2.73,8.16,Therapy,38708.0,Yes,58.04,4105.0,1.1,46584.0,0.9,60.82 +47653,China,2023,Ebola,Bacterial,18.69,12.48,8.05,19-35,Male,206413,57.91,1.51,6.9,Surgery,32714.0,Yes,60.65,1703.0,6.39,81619.0,0.86,25.01 +47666,Indonesia,2020,Tuberculosis,Autoimmune,8.4,1.38,0.77,19-35,Female,358212,99.75,3.64,7.44,Medication,15679.0,No,57.91,2017.0,1.0,55128.0,0.65,82.92 +47669,South Africa,2014,Influenza,Neurological,9.66,2.56,2.53,61+,Other,129748,95.9,4.38,6.77,Surgery,42706.0,Yes,66.46,4996.0,9.46,14576.0,0.87,55.07 +47671,Brazil,2006,Asthma,Metabolic,18.69,0.77,3.51,36-60,Female,422897,92.44,2.42,9.77,Therapy,37871.0,No,76.92,2009.0,6.47,49965.0,0.54,26.5 +47676,Mexico,2019,Measles,Neurological,19.22,14.39,5.0,61+,Other,630336,96.38,1.54,8.17,Medication,10144.0,No,50.07,1880.0,3.78,75587.0,0.65,27.4 +47678,Canada,2000,Leprosy,Metabolic,15.25,1.16,2.03,19-35,Other,986586,94.83,1.27,5.51,Surgery,40822.0,Yes,88.26,4482.0,6.18,65991.0,0.61,44.8 +47680,Nigeria,2013,Influenza,Bacterial,15.41,4.26,6.94,61+,Female,704471,61.3,2.69,7.06,Surgery,22341.0,No,53.05,471.0,0.1,96783.0,0.53,33.27 +47684,USA,2006,Zika,Neurological,7.59,9.2,2.22,19-35,Male,533639,68.06,2.59,5.32,Medication,10069.0,Yes,64.43,4343.0,9.57,14998.0,0.77,87.76 +47685,USA,2005,Influenza,Genetic,9.1,8.08,0.75,0-18,Male,136647,56.6,1.39,4.76,Medication,15884.0,Yes,71.26,1209.0,5.76,44418.0,0.87,65.77 +47688,Saudi Arabia,2009,Polio,Chronic,13.9,3.93,4.32,36-60,Other,558896,88.93,2.21,1.78,Therapy,4694.0,No,79.94,4070.0,3.03,9695.0,0.54,78.98 +47694,India,2022,Ebola,Bacterial,2.59,0.69,0.72,0-18,Male,459482,91.53,2.02,1.49,Vaccination,30646.0,Yes,90.51,169.0,4.8,84146.0,0.65,33.01 +47696,Germany,2013,Ebola,Infectious,4.59,6.05,6.29,61+,Male,793965,70.29,1.73,3.71,Surgery,24853.0,No,50.58,4942.0,6.55,79837.0,0.75,87.96 +47698,Argentina,2005,Parkinson's Disease,Neurological,1.35,11.07,5.98,36-60,Other,540142,96.41,2.68,1.67,Surgery,33106.0,No,87.17,2662.0,4.11,33490.0,0.73,28.7 +47702,South Korea,2009,Hypertension,Bacterial,14.49,4.87,9.48,61+,Other,172610,54.97,1.79,5.02,Medication,26533.0,No,79.4,2768.0,7.07,81310.0,0.44,72.8 +47706,Russia,2004,Cancer,Cardiovascular,16.93,10.65,5.38,36-60,Other,870994,89.66,2.61,1.22,Surgery,30141.0,No,91.52,291.0,8.41,45487.0,0.5,61.03 +47711,Australia,2009,COVID-19,Cardiovascular,7.63,7.53,3.77,19-35,Male,578459,68.77,3.01,7.33,Surgery,47145.0,No,78.08,4714.0,0.5,59377.0,0.66,87.12 +47712,South Africa,2003,Leprosy,Cardiovascular,8.11,8.83,7.52,0-18,Other,35512,88.25,3.4,2.69,Therapy,5259.0,No,74.26,2141.0,2.58,40553.0,0.55,68.98 +47713,Italy,2014,Polio,Neurological,17.31,2.07,4.79,19-35,Female,432611,92.23,2.72,2.55,Vaccination,33006.0,No,63.97,892.0,0.72,43025.0,0.54,57.61 +47716,USA,2011,Hepatitis,Neurological,8.83,12.76,5.84,19-35,Male,693448,56.2,0.77,9.46,Medication,6739.0,Yes,55.67,2167.0,5.42,15582.0,0.43,85.39 +47720,Japan,2020,Zika,Neurological,9.25,1.79,3.52,36-60,Female,110801,55.68,0.9,3.88,Therapy,44916.0,No,82.09,324.0,1.93,74311.0,0.65,55.14 +47721,Australia,2008,COVID-19,Respiratory,3.01,13.81,1.81,61+,Other,391092,95.81,4.76,7.28,Medication,15954.0,Yes,71.74,2699.0,4.25,37069.0,0.84,71.64 +47725,South Korea,2001,Malaria,Bacterial,0.58,12.1,9.97,36-60,Other,332759,56.25,3.79,2.44,Vaccination,25094.0,No,97.65,391.0,8.12,93465.0,0.57,89.32 +47726,South Korea,2012,Diabetes,Autoimmune,5.98,14.68,6.61,0-18,Other,897448,72.59,3.65,9.21,Therapy,20829.0,No,57.05,2790.0,3.02,11339.0,0.89,58.08 +47728,Russia,2003,COVID-19,Respiratory,2.29,12.18,6.94,19-35,Male,71634,86.98,3.02,1.66,Surgery,44521.0,Yes,72.12,1135.0,2.43,63912.0,0.5,87.28 +47731,USA,2010,Asthma,Respiratory,4.81,5.06,5.69,36-60,Female,186564,79.55,1.11,5.35,Surgery,39926.0,No,68.51,624.0,6.56,75228.0,0.82,42.53 +47737,India,2007,Influenza,Infectious,11.83,3.2,6.97,61+,Female,609934,71.19,2.94,7.65,Medication,15855.0,No,85.1,2038.0,9.92,2523.0,0.59,76.3 +47755,Nigeria,2008,Dengue,Neurological,5.35,7.09,5.67,36-60,Female,473131,66.9,2.27,8.5,Medication,47379.0,No,72.76,3810.0,3.42,32219.0,0.5,22.44 +47757,Mexico,2021,Diabetes,Parasitic,12.28,10.36,3.39,36-60,Female,321984,68.64,0.7,3.09,Vaccination,18629.0,No,59.65,1063.0,6.95,33772.0,0.45,87.71 +47760,South Korea,2011,Malaria,Cardiovascular,13.96,6.66,0.51,61+,Male,678595,63.27,3.79,2.11,Medication,8823.0,No,72.25,2251.0,7.9,76979.0,0.56,49.83 +47764,Nigeria,2011,Tuberculosis,Respiratory,3.33,5.01,5.94,36-60,Male,291697,78.8,3.6,3.24,Medication,43508.0,No,76.25,3977.0,6.74,33258.0,0.88,53.23 +47765,Saudi Arabia,2003,Parkinson's Disease,Genetic,12.03,11.32,4.78,19-35,Other,980224,62.4,0.92,4.72,Therapy,22941.0,Yes,56.51,3538.0,2.1,44664.0,0.87,71.33 +47770,Indonesia,2015,Rabies,Metabolic,2.25,10.53,7.84,61+,Female,440913,53.83,1.51,5.85,Surgery,43663.0,No,89.15,816.0,8.37,18532.0,0.47,39.52 +47775,Turkey,2010,Hepatitis,Autoimmune,5.09,1.26,6.58,36-60,Male,590143,71.69,0.87,2.27,Therapy,30118.0,Yes,54.66,2796.0,1.16,39320.0,0.71,47.77 +47777,Saudi Arabia,2001,Cancer,Autoimmune,16.62,3.46,1.59,0-18,Male,799595,85.14,4.4,0.77,Therapy,10903.0,No,88.56,686.0,5.68,27456.0,0.82,47.17 +47778,Australia,2023,Zika,Respiratory,16.97,10.84,3.01,19-35,Other,245459,75.41,1.38,6.45,Vaccination,30092.0,Yes,65.53,565.0,0.08,72992.0,0.73,31.63 +47779,South Africa,2023,Cancer,Respiratory,4.9,14.76,1.28,19-35,Male,367723,94.13,3.44,5.86,Medication,44374.0,Yes,53.75,3996.0,9.31,85376.0,0.67,33.22 +47780,USA,2015,Malaria,Respiratory,16.96,3.94,3.36,61+,Male,123123,70.43,2.48,8.7,Therapy,30803.0,Yes,63.08,4990.0,2.55,93572.0,0.44,84.87 +47781,Argentina,2008,Polio,Genetic,7.48,5.08,2.62,61+,Other,194598,50.55,3.43,3.35,Surgery,32541.0,Yes,51.59,217.0,8.07,60701.0,0.71,59.75 +47782,Italy,2015,Parkinson's Disease,Genetic,18.62,0.59,8.89,19-35,Other,295121,87.79,3.03,6.62,Therapy,31738.0,No,85.14,4645.0,3.83,1601.0,0.77,63.38 +47787,Canada,2019,Asthma,Cardiovascular,13.58,0.42,5.23,36-60,Other,733754,70.68,1.37,8.58,Medication,48338.0,No,91.24,858.0,5.17,53092.0,0.49,76.46 +47789,Canada,2023,Parkinson's Disease,Bacterial,15.45,4.9,7.03,19-35,Other,935270,66.05,4.97,8.51,Medication,13812.0,No,75.97,4674.0,9.53,57254.0,0.57,56.37 +47791,USA,2020,Cancer,Infectious,11.0,1.53,0.65,0-18,Other,116773,64.52,3.11,6.36,Medication,8297.0,No,78.99,4090.0,2.29,43934.0,0.53,67.1 +47797,Australia,2002,Polio,Genetic,17.61,7.76,2.59,61+,Male,783656,73.14,3.02,7.17,Medication,25292.0,No,53.82,2919.0,2.61,56797.0,0.63,87.42 +47798,Nigeria,2012,Cancer,Autoimmune,5.44,6.07,5.13,61+,Male,91465,68.06,0.91,1.42,Medication,13653.0,Yes,84.81,217.0,2.54,98385.0,0.64,52.73 +47802,Japan,2008,Hepatitis,Respiratory,18.24,2.69,0.95,61+,Male,579013,98.45,1.78,8.53,Vaccination,6354.0,No,84.17,2963.0,9.0,90696.0,0.72,43.6 +47809,Japan,2015,Alzheimer's Disease,Viral,2.3,12.24,6.18,61+,Other,866745,70.42,2.45,9.67,Medication,14703.0,No,58.44,3680.0,3.4,82307.0,0.43,41.34 +47819,Brazil,2004,Hepatitis,Infectious,15.04,6.87,3.68,36-60,Male,466487,66.62,4.74,2.69,Therapy,18433.0,No,50.35,2101.0,2.71,55826.0,0.49,51.88 +47826,USA,2010,Diabetes,Cardiovascular,19.34,5.46,5.55,61+,Female,42756,79.37,0.61,8.89,Vaccination,44820.0,No,93.34,4655.0,9.59,88464.0,0.73,89.64 +47834,Japan,2011,Influenza,Viral,4.57,2.8,8.39,19-35,Other,587525,68.17,4.63,2.65,Therapy,39040.0,Yes,61.26,1639.0,9.29,43450.0,0.52,38.87 +47838,Russia,2006,Dengue,Cardiovascular,11.19,2.43,2.52,0-18,Female,595923,66.93,1.75,6.34,Medication,43676.0,Yes,59.18,1413.0,3.04,82945.0,0.57,25.36 +47851,Nigeria,2018,Cancer,Cardiovascular,18.21,3.84,6.05,36-60,Male,448921,91.28,3.95,5.65,Surgery,7528.0,No,51.47,658.0,8.59,56090.0,0.56,45.78 +47854,UK,2007,Tuberculosis,Viral,18.45,14.41,9.66,0-18,Female,183673,72.25,2.19,1.37,Medication,29121.0,Yes,95.94,168.0,8.84,83970.0,0.7,49.45 +47855,Turkey,2017,Parkinson's Disease,Parasitic,0.55,5.83,0.63,19-35,Female,565098,72.88,2.25,3.01,Medication,21734.0,No,81.06,2428.0,2.38,51271.0,0.76,21.43 +47856,Canada,2000,Dengue,Chronic,8.41,3.6,7.38,0-18,Other,314889,74.35,4.95,2.45,Vaccination,37911.0,No,74.24,2558.0,1.87,69341.0,0.62,53.7 +47862,Brazil,2013,Leprosy,Respiratory,0.26,9.49,8.8,36-60,Male,784077,99.46,1.97,9.78,Vaccination,42152.0,Yes,59.77,802.0,8.8,81773.0,0.88,64.75 +47865,Australia,2008,Diabetes,Infectious,11.37,7.65,2.95,36-60,Female,313631,91.19,2.61,3.03,Medication,40443.0,No,57.98,1967.0,9.96,95647.0,0.75,59.33 +47867,Brazil,2002,Leprosy,Metabolic,5.05,1.49,7.87,19-35,Other,509243,87.8,1.94,7.5,Surgery,43330.0,Yes,54.5,1698.0,8.18,90470.0,0.57,53.19 +47868,Italy,2017,Ebola,Infectious,0.59,6.31,1.75,19-35,Other,468194,83.93,0.66,5.41,Vaccination,19503.0,Yes,67.63,2643.0,3.97,61121.0,0.9,64.89 +47869,Japan,2015,Hypertension,Parasitic,16.41,1.0,4.86,36-60,Other,77681,66.25,2.46,9.65,Medication,9767.0,Yes,67.07,4114.0,5.9,43623.0,0.6,51.05 +47876,Nigeria,2016,Zika,Bacterial,0.39,10.63,4.83,19-35,Female,63870,62.83,2.43,7.29,Medication,36946.0,Yes,62.58,152.0,5.32,79103.0,0.54,48.7 +47881,Indonesia,2024,Diabetes,Genetic,6.37,6.23,6.84,61+,Female,292685,70.37,4.56,5.07,Vaccination,32310.0,Yes,54.24,1861.0,3.36,20576.0,0.64,77.53 +47883,China,2024,Influenza,Neurological,17.82,9.21,4.69,61+,Female,645580,74.33,1.77,3.99,Vaccination,47036.0,No,63.68,667.0,5.75,9397.0,0.54,84.17 +47887,USA,2007,COVID-19,Genetic,10.36,13.09,7.74,19-35,Other,586545,53.7,1.58,2.57,Medication,16597.0,Yes,95.58,1663.0,8.86,32528.0,0.43,83.84 +47889,Canada,2001,Hepatitis,Chronic,18.78,14.55,4.88,36-60,Female,299423,84.34,1.12,6.37,Therapy,40089.0,No,69.69,210.0,1.43,68184.0,0.75,33.75 +47895,Japan,2017,Ebola,Viral,13.94,12.81,6.26,61+,Other,166985,93.17,1.5,9.4,Vaccination,48680.0,Yes,63.17,1555.0,6.26,71019.0,0.74,72.45 +47900,Australia,2001,Malaria,Infectious,9.24,11.71,2.3,61+,Female,616637,66.68,1.72,1.91,Surgery,49694.0,Yes,86.07,2459.0,6.26,69525.0,0.87,32.04 +47905,Japan,2014,Cholera,Cardiovascular,19.38,2.18,4.99,0-18,Female,301431,75.41,4.62,3.91,Medication,20666.0,No,87.21,3027.0,3.6,97035.0,0.53,81.41 +47907,Japan,2012,Alzheimer's Disease,Chronic,13.41,4.88,0.89,0-18,Other,126261,88.21,4.37,2.28,Medication,4472.0,Yes,71.0,4421.0,3.18,49962.0,0.43,77.48 +47909,Japan,2022,Leprosy,Infectious,13.55,14.69,7.64,36-60,Other,606823,92.44,4.57,4.77,Surgery,8609.0,No,61.43,2896.0,5.52,73165.0,0.52,51.39 +47918,Australia,2011,Cholera,Chronic,10.9,6.26,2.65,61+,Other,780795,55.75,3.2,1.41,Vaccination,5752.0,No,90.39,4724.0,9.89,23812.0,0.53,62.3 +47919,South Africa,2003,Leprosy,Cardiovascular,1.66,10.48,0.7,0-18,Other,859402,51.06,3.16,2.38,Vaccination,28448.0,Yes,97.64,2290.0,0.76,54461.0,0.77,32.8 +47920,USA,2019,Measles,Chronic,1.32,6.2,8.28,36-60,Male,808354,81.25,4.45,3.79,Vaccination,38967.0,No,98.02,2689.0,6.31,22908.0,0.85,53.23 +47923,Germany,2017,Alzheimer's Disease,Autoimmune,18.06,5.75,1.88,19-35,Other,592576,80.82,1.28,4.3,Surgery,21145.0,No,50.38,282.0,0.9,83514.0,0.52,66.77 +47925,Turkey,2012,Hepatitis,Infectious,7.28,5.15,9.03,36-60,Other,221487,61.69,3.56,5.76,Medication,1911.0,Yes,62.83,1214.0,7.55,89505.0,0.54,30.03 +47926,France,2011,Zika,Neurological,14.82,3.84,9.14,19-35,Other,11875,91.56,4.36,2.38,Medication,11386.0,Yes,67.72,1229.0,5.52,15631.0,0.51,81.63 +47933,UK,2009,Polio,Autoimmune,12.39,4.37,5.78,36-60,Female,24878,85.81,2.66,9.06,Surgery,45763.0,Yes,91.52,2573.0,9.3,97551.0,0.75,74.62 +47936,China,2015,Asthma,Chronic,7.49,1.68,2.33,36-60,Other,381953,98.18,2.74,4.71,Vaccination,44514.0,Yes,67.13,4139.0,6.35,26178.0,0.68,65.41 +47937,Australia,2019,Alzheimer's Disease,Respiratory,3.84,14.06,6.52,36-60,Female,917420,54.85,3.52,6.38,Vaccination,37831.0,No,98.12,3070.0,1.2,75531.0,0.53,84.87 +47939,France,2010,Hepatitis,Parasitic,7.12,11.47,3.93,61+,Other,611436,78.51,0.92,7.76,Surgery,34646.0,No,76.73,2302.0,9.57,93009.0,0.47,58.52 +47944,Argentina,2008,Hepatitis,Infectious,0.94,14.83,0.82,61+,Male,724542,57.07,4.54,1.7,Vaccination,17996.0,Yes,50.64,3378.0,4.25,50680.0,0.53,55.45 +47946,Germany,2012,Cancer,Neurological,7.29,1.39,8.73,0-18,Female,461131,92.21,0.71,2.8,Vaccination,42204.0,Yes,57.5,1416.0,2.37,2967.0,0.4,32.43 +47947,Argentina,2024,Diabetes,Genetic,1.62,9.95,1.27,61+,Other,78943,94.43,4.63,3.66,Therapy,33899.0,Yes,74.61,3213.0,4.9,10353.0,0.79,20.76 +47952,France,2014,Rabies,Parasitic,7.65,9.7,5.61,61+,Female,410865,80.15,3.65,6.01,Medication,19655.0,Yes,69.71,1679.0,2.54,71102.0,0.69,70.25 +47953,Italy,2019,Hepatitis,Infectious,2.65,13.16,9.14,19-35,Other,404743,51.76,3.88,7.48,Surgery,20244.0,Yes,76.7,4307.0,1.85,6262.0,0.6,75.25 +47958,Mexico,2009,Alzheimer's Disease,Genetic,1.18,2.75,3.19,0-18,Other,689397,50.28,2.45,3.78,Therapy,45152.0,No,96.1,211.0,0.16,69801.0,0.52,50.72 +47964,Argentina,2017,Zika,Chronic,9.36,5.06,6.55,61+,Male,508782,56.25,1.38,6.6,Therapy,24630.0,Yes,76.33,1844.0,3.13,81755.0,0.8,35.0 +47966,South Africa,2023,Ebola,Neurological,16.21,0.2,9.72,19-35,Male,865931,62.36,4.44,4.45,Surgery,30811.0,No,50.89,4053.0,4.97,2825.0,0.68,53.85 +47975,Argentina,2012,Influenza,Parasitic,11.25,3.59,7.28,19-35,Male,122722,97.12,0.63,7.56,Medication,27303.0,Yes,88.04,37.0,6.96,43703.0,0.7,59.66 +47988,USA,2013,Hypertension,Bacterial,4.46,6.26,2.18,61+,Female,317845,68.5,2.68,0.68,Therapy,6713.0,Yes,98.93,2454.0,7.95,28461.0,0.68,75.18 +47995,India,2008,Tuberculosis,Metabolic,3.16,12.38,1.33,0-18,Male,795166,77.1,3.9,3.83,Vaccination,29795.0,No,78.32,3150.0,1.55,41049.0,0.89,21.56 +48002,Australia,2016,Cancer,Chronic,18.19,6.0,8.51,61+,Male,906609,94.46,3.65,7.97,Vaccination,10684.0,Yes,98.71,86.0,2.18,46999.0,0.51,48.13 +48010,China,2020,Ebola,Infectious,14.5,14.4,6.63,36-60,Other,765852,68.98,0.55,6.17,Surgery,10842.0,Yes,80.57,2987.0,3.89,90521.0,0.74,45.06 +48011,Japan,2009,Cancer,Cardiovascular,4.5,8.4,6.51,61+,Female,965018,92.81,2.35,5.09,Vaccination,40096.0,No,94.89,850.0,4.94,20900.0,0.78,79.32 +48029,Japan,2009,HIV/AIDS,Metabolic,0.72,13.98,2.1,36-60,Female,834688,99.23,3.99,3.1,Therapy,7474.0,No,90.75,1254.0,0.32,71507.0,0.42,34.98 +48040,Brazil,2021,Hepatitis,Cardiovascular,7.75,7.61,4.48,0-18,Other,203984,66.29,4.98,1.36,Surgery,21363.0,Yes,79.92,2957.0,2.84,5045.0,0.83,79.03 +48041,Canada,2023,Hypertension,Bacterial,12.52,9.1,2.79,36-60,Female,599444,61.69,4.22,5.88,Medication,23083.0,Yes,58.01,2412.0,0.61,7153.0,0.88,38.13 +48049,Italy,2022,Rabies,Respiratory,4.78,9.02,2.81,36-60,Female,475844,53.27,4.19,7.71,Medication,28656.0,Yes,71.13,2819.0,4.97,12169.0,0.48,39.27 +48057,Australia,2020,Cancer,Neurological,11.25,2.08,1.64,0-18,Other,576720,52.82,1.81,0.51,Therapy,23511.0,No,58.07,2948.0,4.52,80737.0,0.57,45.66 +48060,UK,2003,Cholera,Neurological,3.07,13.9,2.04,36-60,Other,582419,69.9,0.83,8.83,Surgery,36556.0,Yes,90.11,1379.0,7.43,75174.0,0.83,38.88 +48061,South Korea,2010,Tuberculosis,Autoimmune,15.86,13.4,4.67,36-60,Other,197467,85.5,1.59,7.4,Surgery,11347.0,Yes,54.42,377.0,7.11,6127.0,0.57,89.84 +48066,Nigeria,2014,Rabies,Genetic,6.81,14.45,2.33,36-60,Female,995065,88.49,2.38,1.58,Medication,26374.0,Yes,86.97,1030.0,4.31,70077.0,0.42,41.45 +48077,Mexico,2013,Tuberculosis,Parasitic,11.19,1.05,4.0,36-60,Other,96625,80.98,4.7,8.78,Vaccination,40355.0,No,73.91,2493.0,5.76,97360.0,0.8,83.8 +48085,Brazil,2005,Parkinson's Disease,Parasitic,11.16,10.39,6.33,0-18,Male,933086,90.39,3.29,6.0,Vaccination,12761.0,Yes,53.97,4976.0,2.17,58755.0,0.47,63.57 +48091,Brazil,2004,Malaria,Autoimmune,12.33,3.03,0.91,36-60,Male,287526,66.46,3.22,0.64,Vaccination,2308.0,Yes,65.07,2906.0,8.68,27413.0,0.71,58.94 +48093,Argentina,2017,Cancer,Bacterial,8.6,14.44,3.52,36-60,Female,866391,55.44,2.02,1.03,Therapy,31598.0,Yes,72.87,4142.0,2.67,25134.0,0.43,71.28 +48110,Nigeria,2009,Alzheimer's Disease,Respiratory,7.38,14.01,1.15,61+,Other,862754,90.85,2.99,2.71,Medication,18055.0,Yes,81.05,4647.0,4.39,9999.0,0.81,30.37 +48114,South Africa,2016,Polio,Cardiovascular,5.46,0.39,9.48,61+,Other,615153,89.28,0.7,6.05,Vaccination,1007.0,No,91.41,1402.0,4.42,22481.0,0.68,73.8 +48115,Mexico,2019,Parkinson's Disease,Infectious,3.42,5.5,1.98,36-60,Female,931273,51.46,4.18,5.38,Vaccination,11622.0,No,64.62,1290.0,4.22,52076.0,0.73,84.85 +48125,Japan,2023,Ebola,Bacterial,5.8,9.22,7.96,0-18,Other,705901,80.93,1.24,6.44,Therapy,10993.0,Yes,77.66,76.0,4.34,44021.0,0.61,62.2 +48126,UK,2021,Diabetes,Viral,5.09,9.2,4.3,36-60,Male,600738,98.6,4.16,2.08,Medication,28843.0,Yes,88.39,614.0,3.2,55255.0,0.49,53.13 +48127,South Africa,2000,Leprosy,Metabolic,13.62,2.35,2.81,0-18,Male,298992,82.76,1.23,0.74,Medication,6330.0,No,63.14,2512.0,2.84,76353.0,0.66,72.74 +48130,France,2014,Diabetes,Autoimmune,8.21,10.32,4.39,61+,Female,646644,57.87,0.74,5.62,Medication,26766.0,No,60.92,4937.0,1.76,75521.0,0.41,51.48 +48133,Brazil,2019,Cholera,Genetic,7.1,5.87,3.44,36-60,Female,483629,56.64,4.24,4.42,Surgery,20330.0,Yes,61.24,371.0,7.33,19649.0,0.87,81.87 +48140,China,2007,Malaria,Neurological,6.87,10.94,0.65,36-60,Female,768982,93.42,3.72,8.9,Surgery,22501.0,Yes,64.91,1923.0,3.94,15561.0,0.67,71.46 +48142,Canada,2019,Asthma,Neurological,1.57,5.07,9.36,0-18,Other,844481,67.27,3.26,2.58,Surgery,1667.0,No,54.4,36.0,5.63,33019.0,0.76,60.71 +48148,UK,2005,Parkinson's Disease,Genetic,5.76,4.7,9.91,61+,Female,150759,65.52,1.73,8.85,Surgery,9754.0,No,57.84,3324.0,6.65,65674.0,0.41,87.37 +48152,Italy,2020,Asthma,Metabolic,8.65,10.04,3.68,0-18,Other,80506,69.89,4.17,3.64,Surgery,26991.0,No,89.03,945.0,2.91,27191.0,0.89,74.18 +48159,Russia,2014,Rabies,Viral,4.04,4.39,6.55,61+,Female,892416,91.77,4.52,1.14,Medication,45481.0,Yes,62.6,1022.0,1.37,8826.0,0.77,49.27 +48168,France,2015,Measles,Metabolic,14.36,5.89,5.65,0-18,Male,435053,82.51,2.06,1.53,Medication,10024.0,Yes,71.78,4775.0,0.51,10724.0,0.5,25.7 +48179,Saudi Arabia,2010,Influenza,Viral,13.21,9.74,7.09,36-60,Male,157429,66.77,2.07,1.95,Therapy,23534.0,Yes,95.54,1145.0,3.14,58558.0,0.46,72.05 +48180,India,2010,Alzheimer's Disease,Bacterial,19.4,3.39,7.67,36-60,Female,411122,62.33,2.52,0.86,Vaccination,34932.0,Yes,94.61,1047.0,7.92,38224.0,0.48,78.57 +48182,Mexico,2020,Cholera,Parasitic,6.61,8.77,3.52,36-60,Other,225687,99.76,3.01,2.41,Vaccination,8332.0,No,95.86,1893.0,5.43,46274.0,0.5,70.23 +48184,Turkey,2007,Parkinson's Disease,Metabolic,1.68,4.85,4.39,19-35,Other,777227,81.08,1.76,9.31,Surgery,44946.0,Yes,65.79,4132.0,3.76,26048.0,0.49,57.62 +48186,Mexico,2020,Alzheimer's Disease,Respiratory,14.35,6.56,8.34,0-18,Female,965895,95.99,4.6,5.62,Vaccination,38818.0,No,93.29,1194.0,9.42,35200.0,0.69,53.3 +48191,Italy,2018,Measles,Parasitic,17.97,6.74,8.07,36-60,Male,54723,71.46,2.6,8.79,Surgery,23762.0,No,51.0,1747.0,5.02,99011.0,0.51,75.88 +48195,Nigeria,2002,Polio,Viral,5.26,3.16,0.23,36-60,Female,768095,83.4,0.8,9.98,Therapy,15105.0,Yes,98.95,4035.0,2.26,64015.0,0.62,32.07 +48196,Australia,2008,Zika,Genetic,14.43,6.88,9.77,36-60,Male,27820,92.98,2.8,1.35,Vaccination,13297.0,No,71.31,2048.0,2.67,71630.0,0.77,38.7 +48197,Canada,2024,COVID-19,Bacterial,12.89,13.15,3.1,0-18,Female,716089,86.38,2.07,3.97,Medication,25423.0,Yes,59.33,3500.0,7.51,91849.0,0.49,54.96 +48198,Japan,2008,Tuberculosis,Metabolic,18.6,9.53,2.01,19-35,Female,802771,55.68,0.78,4.44,Vaccination,8812.0,Yes,92.2,366.0,2.52,34236.0,0.77,22.95 +48199,Indonesia,2012,Cholera,Parasitic,8.09,2.05,9.68,61+,Male,956308,78.26,4.18,6.48,Therapy,18137.0,Yes,53.47,1283.0,2.15,82313.0,0.84,38.58 +48207,Brazil,2000,Tuberculosis,Cardiovascular,3.67,3.43,7.99,61+,Male,899755,92.67,2.62,3.78,Therapy,3730.0,Yes,54.6,858.0,6.6,91767.0,0.87,67.13 +48215,Canada,2015,Diabetes,Bacterial,7.92,8.92,3.61,36-60,Female,315900,99.75,1.34,7.65,Vaccination,16802.0,Yes,70.42,4441.0,8.37,83202.0,0.47,40.23 +48222,Brazil,2003,Zika,Infectious,8.09,12.02,3.17,61+,Other,327832,58.86,3.95,4.33,Vaccination,28786.0,No,76.74,4345.0,5.32,20481.0,0.49,36.5 +48224,South Africa,2014,Malaria,Parasitic,5.87,10.37,5.28,0-18,Other,435513,51.82,2.62,4.02,Medication,3696.0,No,64.06,4944.0,6.53,74546.0,0.87,68.78 +48225,Australia,2013,Leprosy,Neurological,3.4,6.12,1.86,36-60,Other,469060,75.63,2.67,6.37,Surgery,42996.0,No,63.95,288.0,0.19,44783.0,0.81,31.0 +48226,France,2023,Dengue,Chronic,9.12,12.94,1.57,0-18,Other,595153,64.79,3.35,7.74,Surgery,37211.0,Yes,70.62,4215.0,4.79,12323.0,0.71,55.43 +48227,Germany,2013,Polio,Metabolic,15.12,0.41,1.88,61+,Male,740220,99.97,1.8,6.52,Therapy,29754.0,Yes,94.64,2692.0,2.46,1761.0,0.67,21.59 +48229,Nigeria,2023,Cancer,Chronic,17.89,0.82,9.84,19-35,Male,735100,52.64,2.63,9.12,Therapy,14864.0,No,97.04,3457.0,2.19,51523.0,0.69,64.12 +48236,Turkey,2019,Malaria,Infectious,1.58,8.63,0.7,19-35,Female,689805,97.57,3.29,6.66,Vaccination,33356.0,No,57.8,3980.0,7.33,76087.0,0.47,54.66 +48237,South Korea,2018,Alzheimer's Disease,Chronic,7.51,2.59,9.2,61+,Male,944094,99.75,4.84,2.59,Medication,28395.0,No,58.47,2352.0,6.25,18806.0,0.5,48.66 +48238,Italy,2002,Rabies,Neurological,11.51,14.21,2.97,36-60,Other,940500,93.42,1.81,1.3,Therapy,8114.0,Yes,51.65,191.0,6.25,45309.0,0.58,59.66 +48247,Turkey,2011,Tuberculosis,Neurological,0.72,3.49,4.88,0-18,Male,819425,85.44,1.04,1.64,Medication,23427.0,Yes,95.12,858.0,4.66,56388.0,0.64,20.18 +48252,Canada,2002,Zika,Parasitic,15.96,3.69,8.94,19-35,Female,400560,65.31,0.84,8.97,Surgery,25769.0,No,71.81,315.0,8.7,86153.0,0.6,31.37 +48255,Saudi Arabia,2007,Zika,Neurological,3.49,6.36,6.54,36-60,Male,672012,69.69,4.6,5.34,Vaccination,5114.0,No,64.21,3129.0,2.77,94317.0,0.61,56.55 +48258,Saudi Arabia,2001,Cancer,Cardiovascular,5.06,2.77,0.3,61+,Other,13562,85.43,4.55,8.38,Vaccination,8327.0,No,85.94,4402.0,6.05,48364.0,0.57,51.7 +48262,Turkey,2014,Alzheimer's Disease,Chronic,13.4,12.47,2.14,36-60,Other,403022,61.33,4.54,9.21,Therapy,14525.0,No,92.58,3933.0,1.05,98699.0,0.57,44.03 +48271,Brazil,2010,Parkinson's Disease,Cardiovascular,4.68,5.06,8.85,61+,Male,78073,56.15,3.48,6.51,Medication,36658.0,No,75.39,602.0,5.07,52218.0,0.7,40.08 +48279,South Korea,2021,Leprosy,Bacterial,19.91,0.54,0.78,61+,Male,209245,66.37,2.94,2.81,Surgery,226.0,Yes,94.15,3200.0,9.34,71821.0,0.67,85.47 +48281,Canada,2016,Rabies,Chronic,15.07,3.07,3.53,61+,Other,836710,79.58,3.27,5.93,Therapy,11578.0,Yes,88.5,210.0,9.99,91574.0,0.76,82.75 +48282,Italy,2014,Influenza,Viral,6.59,0.13,5.35,36-60,Other,959978,84.31,1.57,5.31,Therapy,45071.0,No,74.51,2123.0,5.19,34874.0,0.62,67.28 +48291,India,2006,Cancer,Parasitic,7.96,13.84,2.24,0-18,Other,321396,83.12,1.99,8.26,Therapy,44729.0,Yes,94.2,2582.0,1.46,26657.0,0.7,75.81 +48293,Russia,2020,Polio,Cardiovascular,11.27,10.32,9.87,0-18,Other,550041,82.79,3.46,1.13,Medication,41205.0,Yes,94.7,99.0,0.5,14688.0,0.4,78.77 +48307,Brazil,2023,Diabetes,Chronic,14.04,4.73,9.85,0-18,Female,934410,65.94,4.73,0.97,Therapy,19408.0,No,74.19,2611.0,3.65,49013.0,0.67,77.85 +48316,Nigeria,2009,HIV/AIDS,Neurological,2.58,13.24,9.74,61+,Male,427097,96.31,2.07,4.3,Medication,41261.0,No,84.25,872.0,3.12,11218.0,0.41,76.98 +48319,USA,2003,Tuberculosis,Chronic,12.07,11.32,7.81,61+,Female,499935,65.78,1.96,8.6,Medication,17935.0,No,87.75,4545.0,4.81,8849.0,0.71,50.21 +48321,South Korea,2000,Influenza,Cardiovascular,16.94,6.55,2.47,0-18,Other,391954,98.18,3.15,4.01,Surgery,37144.0,Yes,77.85,160.0,3.74,69212.0,0.81,86.8 +48323,Canada,2015,Hepatitis,Bacterial,15.76,5.33,5.34,0-18,Other,779608,91.2,0.68,5.53,Surgery,11527.0,Yes,69.34,3315.0,1.72,89330.0,0.81,58.53 +48334,Russia,2017,Cancer,Chronic,16.16,14.54,9.05,19-35,Female,930958,94.2,2.41,9.28,Therapy,15044.0,No,56.15,1107.0,4.02,74821.0,0.81,66.06 +48339,Saudi Arabia,2010,Ebola,Neurological,8.77,10.96,9.18,36-60,Male,254095,91.55,4.05,8.64,Medication,35898.0,Yes,61.67,3880.0,3.1,51050.0,0.83,60.31 +48344,Australia,2003,Polio,Cardiovascular,0.42,7.55,7.7,36-60,Female,246173,74.95,3.11,8.26,Medication,29664.0,Yes,93.19,155.0,8.24,9990.0,0.84,68.88 +48345,Italy,2007,Leprosy,Parasitic,18.86,14.7,5.75,0-18,Other,451153,84.34,4.25,0.64,Medication,38746.0,Yes,93.02,3750.0,8.2,85145.0,0.69,23.02 +48346,Japan,2020,Malaria,Viral,5.69,13.56,2.78,19-35,Other,271608,64.5,0.69,3.4,Therapy,25910.0,Yes,61.14,224.0,4.18,1373.0,0.74,45.05 +48354,Nigeria,2002,Malaria,Cardiovascular,6.11,1.72,6.7,36-60,Other,690184,77.2,2.15,6.24,Vaccination,9130.0,No,89.48,272.0,3.24,21253.0,0.56,41.88 +48357,Indonesia,2013,Dengue,Infectious,6.06,0.62,5.6,36-60,Other,139095,80.92,2.33,9.93,Medication,34992.0,No,56.88,2659.0,8.29,22033.0,0.82,29.26 +48363,Japan,2000,Polio,Bacterial,19.34,4.14,9.61,0-18,Other,711860,71.66,2.4,1.82,Medication,23415.0,No,59.7,3005.0,6.34,57456.0,0.61,44.85 +48368,Japan,2021,HIV/AIDS,Cardiovascular,5.57,13.33,3.88,36-60,Male,732879,81.48,2.48,1.87,Surgery,22415.0,Yes,70.34,607.0,2.14,32839.0,0.44,74.95 +48371,South Korea,2020,Diabetes,Chronic,12.77,11.46,3.47,61+,Female,722836,50.64,1.8,3.23,Vaccination,7461.0,No,60.69,4368.0,5.34,1483.0,0.61,78.58 +48374,Saudi Arabia,2009,Polio,Metabolic,4.4,13.14,5.98,19-35,Female,428725,65.25,2.59,1.3,Medication,40943.0,No,92.3,665.0,5.26,20069.0,0.62,54.16 +48382,China,2004,Polio,Bacterial,1.88,7.48,3.73,36-60,Female,285719,78.62,2.68,6.68,Medication,29574.0,Yes,61.15,2064.0,2.9,18007.0,0.53,49.45 +48384,Saudi Arabia,2001,Influenza,Genetic,8.83,5.78,6.59,61+,Female,399134,63.03,0.54,5.91,Vaccination,16849.0,No,73.47,1578.0,5.45,97694.0,0.82,42.88 +48394,USA,2009,Malaria,Cardiovascular,1.93,2.76,6.51,19-35,Other,480779,60.67,2.31,6.54,Vaccination,21153.0,Yes,71.54,1032.0,1.62,8357.0,0.49,22.95 +48406,Turkey,2022,Parkinson's Disease,Viral,11.36,6.28,6.36,0-18,Female,210110,53.86,4.73,5.98,Surgery,15444.0,No,56.06,2265.0,8.57,97466.0,0.84,42.61 +48422,India,2020,Tuberculosis,Genetic,11.16,13.83,9.72,36-60,Other,129846,97.89,3.87,6.55,Surgery,13460.0,Yes,50.08,2254.0,1.36,43700.0,0.74,57.54 +48427,Japan,2024,Measles,Infectious,17.19,4.48,8.16,61+,Female,89693,87.61,2.77,8.41,Medication,6495.0,Yes,68.81,2693.0,4.39,89728.0,0.67,26.33 +48430,France,2018,Hepatitis,Metabolic,16.52,1.03,1.67,36-60,Male,138300,75.71,0.74,1.92,Vaccination,3923.0,Yes,63.05,4888.0,7.12,71858.0,0.43,81.19 +48433,Germany,2005,Cancer,Viral,8.45,10.86,9.41,0-18,Female,266549,68.23,3.3,6.36,Surgery,2921.0,No,74.66,4672.0,4.96,74214.0,0.62,52.54 +48434,USA,2023,HIV/AIDS,Viral,14.17,12.59,0.34,0-18,Other,257259,53.86,1.93,9.4,Surgery,48032.0,Yes,59.88,4028.0,4.32,97243.0,0.87,42.87 +48454,Nigeria,2021,Cholera,Bacterial,16.42,9.76,0.75,61+,Other,200286,61.08,1.37,6.56,Surgery,45707.0,Yes,82.95,4291.0,3.51,89730.0,0.67,85.48 +48459,Saudi Arabia,2014,Alzheimer's Disease,Infectious,16.79,9.12,3.19,61+,Female,391179,65.42,4.64,3.89,Surgery,14886.0,No,90.91,1842.0,3.29,71037.0,0.53,29.73 +48464,Japan,2016,Cholera,Neurological,2.11,14.76,2.73,19-35,Male,885186,90.6,3.88,4.7,Medication,41008.0,No,69.97,714.0,5.89,76907.0,0.64,80.67 +48466,Turkey,2004,Polio,Bacterial,0.66,0.49,4.11,0-18,Female,392646,79.3,1.54,8.29,Medication,2858.0,No,55.01,2761.0,7.25,28404.0,0.62,21.4 +48467,UK,2004,Dengue,Metabolic,18.2,10.73,1.47,61+,Female,859790,75.5,4.01,8.33,Medication,39993.0,No,77.43,2040.0,0.99,23620.0,0.68,70.8 +48470,Indonesia,2012,COVID-19,Genetic,7.84,6.72,1.06,19-35,Female,876857,58.99,2.62,2.97,Medication,9963.0,No,71.78,4405.0,3.22,82852.0,0.68,88.36 +48471,Mexico,2001,Cancer,Chronic,6.36,14.02,4.77,36-60,Female,226191,85.51,1.98,7.36,Surgery,3839.0,Yes,74.39,2806.0,6.53,60015.0,0.86,67.54 +48477,Turkey,2009,Malaria,Neurological,9.09,1.11,0.43,0-18,Other,429745,90.24,4.16,3.64,Vaccination,14188.0,Yes,62.13,582.0,1.82,65051.0,0.83,61.76 +48479,Russia,2016,Measles,Viral,3.84,0.4,4.72,36-60,Female,117883,66.61,4.72,1.96,Vaccination,42070.0,Yes,98.37,3309.0,4.42,65346.0,0.55,47.44 +48485,USA,2002,Alzheimer's Disease,Cardiovascular,13.03,8.43,2.54,36-60,Male,397972,95.81,4.41,8.56,Vaccination,16134.0,Yes,98.66,3355.0,0.12,98877.0,0.61,75.24 +48499,Russia,2004,Zika,Chronic,8.92,0.28,9.4,36-60,Other,122335,87.99,4.85,8.46,Medication,22599.0,No,70.53,2948.0,3.27,82221.0,0.57,40.13 +48502,Argentina,2019,Alzheimer's Disease,Parasitic,5.11,4.4,7.69,19-35,Male,499086,85.53,2.79,8.88,Surgery,24469.0,Yes,57.65,4965.0,0.24,2039.0,0.46,59.67 +48508,UK,2021,COVID-19,Infectious,5.83,2.1,3.04,36-60,Male,962643,84.73,2.91,1.93,Vaccination,2513.0,No,79.43,3444.0,8.12,38177.0,0.74,68.62 +48513,Indonesia,2001,Measles,Genetic,4.84,9.19,7.84,36-60,Other,979506,57.21,2.83,6.34,Surgery,24174.0,Yes,55.46,237.0,5.11,87858.0,0.89,59.61 +48516,USA,2011,Tuberculosis,Metabolic,8.64,6.98,7.72,36-60,Other,896583,85.94,1.82,8.51,Therapy,49087.0,Yes,50.93,2188.0,9.03,25506.0,0.84,85.88 +48520,Argentina,2003,Measles,Bacterial,8.81,3.0,3.92,0-18,Other,290887,93.15,1.43,3.19,Medication,28491.0,No,84.24,3616.0,3.5,47011.0,0.77,51.05 +48531,USA,2016,COVID-19,Viral,4.98,9.11,2.75,61+,Male,619894,57.06,0.79,4.44,Medication,41862.0,Yes,68.73,1672.0,4.96,92211.0,0.56,79.07 +48532,South Korea,2022,Asthma,Cardiovascular,6.07,6.91,9.69,61+,Other,476082,95.13,3.78,0.61,Surgery,39302.0,No,94.55,2528.0,1.36,35568.0,0.59,75.37 +48534,Nigeria,2022,Parkinson's Disease,Chronic,18.63,3.24,2.7,36-60,Male,147218,52.06,4.36,4.13,Surgery,40552.0,No,81.64,4337.0,0.77,72546.0,0.56,71.13 +48537,Saudi Arabia,2017,Measles,Neurological,14.18,5.08,9.57,36-60,Male,688420,73.68,1.34,7.44,Medication,45699.0,Yes,50.34,3036.0,2.18,40549.0,0.42,35.23 +48543,Italy,2005,HIV/AIDS,Infectious,17.9,13.91,6.44,19-35,Other,797579,59.67,3.27,6.51,Medication,16311.0,Yes,64.63,182.0,6.56,20708.0,0.47,84.2 +48545,Japan,2008,Asthma,Chronic,6.39,9.31,9.32,0-18,Male,683076,99.49,1.38,2.23,Therapy,40743.0,No,93.46,1692.0,7.32,96686.0,0.65,88.32 +48546,UK,2014,Malaria,Metabolic,12.24,3.6,4.7,61+,Other,704068,55.94,3.19,1.94,Surgery,8361.0,No,70.36,4875.0,1.84,52287.0,0.56,21.02 +48548,Brazil,2006,Measles,Chronic,15.74,12.79,1.87,61+,Female,972391,97.19,3.95,7.46,Surgery,43277.0,Yes,67.52,1025.0,4.82,21674.0,0.78,52.53 +48550,Germany,2007,Cancer,Parasitic,18.01,5.63,3.48,19-35,Other,682758,78.37,2.02,6.79,Surgery,44779.0,No,68.26,4602.0,4.23,45897.0,0.68,31.46 +48551,Brazil,2022,Polio,Autoimmune,0.4,9.87,3.1,36-60,Other,866047,99.75,2.65,4.27,Surgery,22283.0,Yes,69.71,4698.0,7.91,19627.0,0.85,26.22 +48552,Germany,2024,HIV/AIDS,Chronic,5.32,2.56,3.19,61+,Female,576140,71.36,1.78,5.71,Therapy,23980.0,No,86.64,2696.0,3.16,60758.0,0.73,83.33 +48553,Russia,2008,Leprosy,Infectious,2.67,6.58,4.85,19-35,Male,253877,52.45,4.15,3.14,Medication,38650.0,No,51.64,3020.0,1.37,54070.0,0.82,70.29 +48561,Indonesia,2012,Polio,Autoimmune,6.1,1.4,8.11,36-60,Female,604481,82.0,2.34,2.94,Therapy,21231.0,Yes,73.07,935.0,3.3,66642.0,0.89,87.43 +48570,France,2023,Hepatitis,Cardiovascular,11.65,13.1,0.7,61+,Other,608535,86.28,4.18,2.23,Medication,26226.0,No,78.98,1099.0,0.41,561.0,0.8,58.67 +48572,Mexico,2009,Influenza,Viral,6.7,7.43,3.27,61+,Other,336087,50.34,3.94,5.86,Surgery,11194.0,No,84.36,4650.0,9.22,10722.0,0.72,52.09 +48574,USA,2007,Tuberculosis,Neurological,10.68,7.23,5.16,36-60,Male,347401,69.34,1.29,2.94,Medication,22752.0,No,98.2,2878.0,6.83,26706.0,0.88,21.0 +48584,Nigeria,2024,Tuberculosis,Autoimmune,6.74,9.72,4.38,0-18,Female,318450,80.9,2.41,6.99,Medication,9272.0,Yes,97.28,786.0,7.21,95187.0,0.41,59.63 +48590,Nigeria,2021,Hypertension,Respiratory,9.18,11.12,7.16,19-35,Female,484635,73.41,2.77,4.25,Vaccination,42277.0,Yes,91.4,316.0,0.06,21027.0,0.53,45.0 +48600,France,2012,Rabies,Parasitic,15.29,1.51,1.44,36-60,Female,84942,51.06,2.53,4.06,Vaccination,10066.0,No,91.7,2016.0,9.18,5423.0,0.89,24.11 +48601,South Africa,2016,Hypertension,Cardiovascular,19.69,11.23,3.31,36-60,Male,621349,58.1,3.91,9.67,Medication,17926.0,Yes,88.88,691.0,9.17,20432.0,0.56,51.65 +48603,Indonesia,2015,Ebola,Cardiovascular,15.17,8.71,6.9,61+,Other,849004,69.51,3.42,5.97,Vaccination,14280.0,Yes,57.69,4349.0,8.39,52215.0,0.64,53.47 +48607,China,2015,Alzheimer's Disease,Bacterial,5.08,11.02,6.07,36-60,Female,604201,66.48,1.93,9.29,Medication,9860.0,Yes,93.45,1112.0,8.75,91968.0,0.41,65.38 +48615,France,2018,Hypertension,Respiratory,19.51,1.07,0.46,61+,Female,964877,76.82,2.8,6.79,Therapy,28334.0,Yes,77.75,4390.0,6.99,54113.0,0.88,74.05 +48616,Australia,2008,Tuberculosis,Viral,8.44,2.13,6.73,19-35,Male,842036,51.33,4.1,5.26,Vaccination,33076.0,No,84.94,93.0,3.64,34566.0,0.7,69.09 +48621,Germany,2021,Cholera,Infectious,11.75,12.88,4.0,61+,Male,253775,54.84,3.98,6.17,Vaccination,26159.0,Yes,82.2,4231.0,8.93,78696.0,0.45,63.59 +48632,Russia,2000,Influenza,Chronic,3.11,11.87,9.54,36-60,Male,706418,51.61,1.84,1.91,Therapy,43232.0,No,79.92,696.0,9.62,68874.0,0.44,72.27 +48634,UK,2016,Ebola,Genetic,15.66,11.34,0.69,0-18,Female,272242,55.24,2.31,8.08,Medication,7437.0,No,80.29,3782.0,1.6,91416.0,0.84,24.58 +48637,China,2014,Cholera,Cardiovascular,18.02,7.26,4.27,0-18,Male,644940,98.42,3.82,3.92,Surgery,38966.0,Yes,59.71,3105.0,3.29,52543.0,0.46,67.14 +48643,UK,2012,Cholera,Genetic,15.88,6.38,7.39,61+,Male,708507,57.5,1.02,2.98,Therapy,3046.0,No,54.91,3286.0,9.78,53208.0,0.86,47.65 +48646,Indonesia,2001,Tuberculosis,Infectious,10.86,4.12,6.75,19-35,Male,358105,93.96,1.33,5.87,Vaccination,10772.0,No,76.01,1202.0,4.91,42606.0,0.49,29.52 +48654,India,2013,COVID-19,Infectious,9.61,4.51,8.65,61+,Male,82042,57.31,2.48,5.74,Therapy,9256.0,No,72.81,3806.0,7.95,39817.0,0.84,66.89 +48656,Mexico,2018,Measles,Chronic,11.05,5.0,9.48,61+,Female,51703,62.2,1.09,6.18,Medication,37764.0,Yes,85.3,2338.0,6.91,75999.0,0.51,45.4 +48660,India,2018,Cholera,Genetic,17.85,3.61,7.39,19-35,Other,209242,72.77,4.21,8.09,Medication,5675.0,Yes,60.94,1897.0,7.4,88074.0,0.82,28.49 +48662,Italy,2016,Zika,Cardiovascular,5.59,12.14,3.59,61+,Other,957376,87.06,3.47,5.91,Therapy,186.0,No,53.2,2230.0,6.04,92901.0,0.47,44.96 +48674,Argentina,2011,Alzheimer's Disease,Parasitic,0.93,1.47,8.45,19-35,Female,431225,86.38,4.17,2.68,Therapy,20421.0,No,87.81,4125.0,0.04,82629.0,0.74,26.11 +48679,Japan,2001,Dengue,Bacterial,11.69,8.18,7.38,19-35,Female,652303,61.32,2.81,8.25,Vaccination,18740.0,No,70.15,3219.0,9.39,70222.0,0.89,58.77 +48692,Japan,2018,Asthma,Bacterial,15.61,13.1,8.82,19-35,Other,406206,94.66,2.05,1.18,Vaccination,49974.0,No,76.34,2365.0,3.21,67802.0,0.73,85.25 +48693,Australia,2015,Polio,Respiratory,15.44,11.76,8.76,36-60,Other,692330,56.0,4.14,1.69,Surgery,37866.0,No,90.76,3254.0,1.68,67245.0,0.44,79.91 +48713,Russia,2018,Alzheimer's Disease,Chronic,5.61,14.91,5.65,36-60,Male,97366,56.38,0.87,2.26,Surgery,26399.0,Yes,67.8,4716.0,8.63,5144.0,0.67,38.4 +48714,Canada,2008,HIV/AIDS,Cardiovascular,10.84,14.96,2.79,19-35,Female,523436,89.49,1.96,3.81,Therapy,45453.0,Yes,53.59,3474.0,6.56,77010.0,0.59,35.15 +48719,Argentina,2015,Zika,Metabolic,2.52,13.7,7.79,61+,Other,3879,92.68,4.47,0.99,Therapy,1565.0,Yes,52.91,2512.0,4.02,30921.0,0.58,70.22 +48723,Nigeria,2024,Influenza,Neurological,15.77,11.88,4.48,36-60,Male,651239,93.99,1.4,6.39,Medication,47487.0,Yes,97.75,4031.0,5.07,54216.0,0.5,79.93 +48730,South Korea,2000,Parkinson's Disease,Metabolic,17.58,14.28,3.86,36-60,Other,132254,57.34,2.5,2.26,Vaccination,16575.0,Yes,64.2,1304.0,9.82,33015.0,0.86,33.92 +48734,USA,2015,Alzheimer's Disease,Neurological,13.9,11.08,9.19,61+,Other,237287,82.25,2.7,3.59,Medication,38975.0,No,61.41,1881.0,6.49,21040.0,0.8,27.05 +48735,Saudi Arabia,2024,Diabetes,Respiratory,5.26,1.22,1.86,19-35,Female,226188,75.61,2.19,1.59,Therapy,1261.0,No,54.39,4616.0,9.24,19214.0,0.48,84.76 +48740,Germany,2022,Cancer,Infectious,5.06,9.51,8.75,0-18,Male,676420,78.61,4.36,1.52,Surgery,3023.0,Yes,53.78,4299.0,2.51,32253.0,0.73,67.29 +48747,Germany,2022,Hypertension,Infectious,6.77,0.24,8.77,61+,Female,214812,66.01,3.43,4.23,Therapy,39024.0,No,50.68,460.0,5.49,31387.0,0.86,63.89 +48750,Australia,2000,Rabies,Cardiovascular,17.49,6.22,1.04,0-18,Other,632724,62.86,1.53,2.19,Therapy,22644.0,No,65.71,4177.0,1.02,58992.0,0.88,30.01 +48753,Canada,2007,Tuberculosis,Neurological,3.22,3.75,3.79,0-18,Male,218895,80.33,3.07,3.32,Vaccination,24572.0,Yes,50.27,4354.0,5.67,26456.0,0.55,85.3 +48756,Argentina,2020,Hepatitis,Genetic,19.06,6.05,0.23,19-35,Other,566735,80.25,1.02,9.13,Surgery,24055.0,No,89.79,2866.0,4.42,6963.0,0.81,68.93 +48762,Mexico,2014,Hepatitis,Genetic,7.56,14.97,1.31,19-35,Other,348675,84.49,3.12,4.34,Medication,33254.0,No,63.53,934.0,3.74,31631.0,0.67,45.87 +48768,Turkey,2024,Zika,Metabolic,6.28,4.53,2.36,19-35,Female,569029,59.6,2.34,1.18,Surgery,2722.0,Yes,64.56,3233.0,5.97,60816.0,0.66,24.67 +48769,Saudi Arabia,2016,Tuberculosis,Infectious,10.63,7.87,2.53,61+,Female,275619,61.31,3.48,1.12,Surgery,27117.0,Yes,97.48,2682.0,4.99,89023.0,0.58,84.51 +48777,Indonesia,2024,Asthma,Autoimmune,2.3,1.12,0.86,61+,Female,796109,82.18,4.1,7.45,Vaccination,4131.0,No,95.05,2024.0,9.65,60506.0,0.84,24.91 +48778,Russia,2001,Leprosy,Infectious,18.15,3.87,9.25,36-60,Female,437210,66.02,4.34,0.96,Surgery,6931.0,No,74.04,4472.0,0.67,76155.0,0.61,43.64 +48781,Canada,2005,HIV/AIDS,Genetic,3.54,3.62,1.98,36-60,Female,229137,63.4,4.72,0.54,Vaccination,28771.0,No,91.72,1013.0,6.74,41481.0,0.6,37.05 +48791,Nigeria,2024,Hepatitis,Neurological,16.54,14.63,4.52,36-60,Other,732808,88.2,2.8,2.74,Therapy,39606.0,No,57.27,2736.0,4.23,79037.0,0.65,34.89 +48798,Saudi Arabia,2008,Rabies,Autoimmune,19.24,13.33,0.91,61+,Other,414348,91.03,2.74,0.65,Medication,38934.0,No,93.02,4265.0,0.49,82210.0,0.74,70.71 +48800,Germany,2020,Measles,Cardiovascular,16.01,6.78,6.93,36-60,Female,630008,75.5,2.11,1.77,Surgery,8062.0,Yes,82.1,3833.0,4.53,36942.0,0.62,86.13 +48803,Japan,2014,Dengue,Chronic,18.69,8.82,8.15,61+,Female,139986,68.94,2.66,6.56,Medication,13673.0,No,62.27,1866.0,5.21,72212.0,0.5,78.64 +48804,China,2017,Asthma,Neurological,13.84,13.95,2.15,36-60,Other,989612,88.46,1.11,3.05,Therapy,38117.0,No,62.67,2354.0,3.2,40219.0,0.63,83.07 +48809,South Africa,2013,Alzheimer's Disease,Genetic,18.9,9.75,2.67,19-35,Other,657332,68.15,2.38,5.51,Medication,41680.0,Yes,90.42,30.0,8.72,78087.0,0.78,65.9 +48810,Argentina,2000,Parkinson's Disease,Bacterial,8.41,11.4,8.47,36-60,Other,893845,68.49,2.34,9.92,Therapy,5858.0,Yes,65.36,472.0,2.09,95124.0,0.53,77.77 +48812,Brazil,2000,Malaria,Viral,1.87,8.17,5.41,36-60,Other,684059,53.31,3.93,7.32,Medication,49830.0,No,52.42,1406.0,9.44,97626.0,0.48,29.22 +48814,Germany,2024,Influenza,Parasitic,2.95,13.4,5.39,19-35,Other,848840,50.21,2.52,6.83,Surgery,43102.0,No,79.7,3674.0,3.56,14770.0,0.48,32.96 +48816,South Africa,2011,Malaria,Chronic,10.51,12.78,2.67,0-18,Female,95947,59.3,3.31,8.89,Vaccination,27366.0,No,94.8,2325.0,7.47,82671.0,0.9,79.66 +48821,South Africa,2017,Cancer,Genetic,17.65,2.04,9.04,19-35,Male,863721,50.85,2.13,4.88,Medication,30610.0,Yes,87.72,1195.0,5.19,87840.0,0.62,53.55 +48830,South Korea,2019,Rabies,Genetic,11.12,8.0,9.22,0-18,Female,626637,82.61,4.32,4.27,Medication,2869.0,No,64.68,390.0,9.21,45560.0,0.77,53.48 +48832,Turkey,2003,COVID-19,Genetic,18.92,8.17,9.41,0-18,Male,929850,61.51,3.73,6.63,Therapy,14828.0,Yes,89.52,1546.0,6.39,24293.0,0.64,57.84 +48857,Saudi Arabia,2007,Cholera,Parasitic,13.59,8.92,6.61,36-60,Female,387397,66.5,1.3,4.37,Vaccination,13584.0,No,77.78,1351.0,2.35,43036.0,0.65,69.81 +48860,Turkey,2021,Ebola,Infectious,2.84,10.91,7.65,19-35,Female,303555,59.42,3.12,9.58,Vaccination,40509.0,Yes,98.28,817.0,6.94,46111.0,0.55,32.82 +48867,Italy,2019,Dengue,Parasitic,18.12,5.5,8.9,61+,Male,777246,95.32,2.56,3.58,Medication,28741.0,Yes,66.32,500.0,2.79,97208.0,0.82,43.41 +48873,Australia,2004,Asthma,Respiratory,0.25,8.56,5.76,0-18,Female,955952,97.06,4.35,1.55,Vaccination,41516.0,Yes,90.29,564.0,2.58,60318.0,0.42,28.54 +48876,USA,2019,COVID-19,Autoimmune,16.36,3.03,3.29,19-35,Other,380328,76.28,4.34,6.49,Medication,7717.0,No,87.38,2176.0,9.19,66416.0,0.73,48.97 +48878,UK,2000,Hepatitis,Genetic,13.24,4.61,4.32,19-35,Male,912864,66.74,0.7,4.56,Surgery,4262.0,No,67.58,1208.0,3.62,38218.0,0.74,20.02 +48881,Argentina,2010,Alzheimer's Disease,Metabolic,17.54,6.22,6.06,36-60,Other,743121,76.99,3.82,5.45,Medication,592.0,Yes,58.43,3930.0,8.79,32186.0,0.77,39.45 +48892,Indonesia,2009,Alzheimer's Disease,Bacterial,6.1,4.14,1.1,0-18,Female,725610,58.64,2.48,1.26,Medication,21025.0,No,87.99,2695.0,4.56,56553.0,0.81,55.42 +48893,UK,2002,Cholera,Genetic,8.74,1.45,1.94,19-35,Male,91156,97.9,2.1,4.54,Therapy,11598.0,Yes,60.57,4635.0,1.21,96178.0,0.9,89.95 +48897,Mexico,2004,COVID-19,Metabolic,4.69,4.41,5.97,0-18,Male,433971,72.43,4.31,6.67,Surgery,855.0,Yes,96.34,1528.0,2.75,87620.0,0.41,23.76 +48898,Australia,2020,COVID-19,Respiratory,5.52,5.36,9.78,0-18,Other,614663,75.96,3.37,7.23,Vaccination,1920.0,No,93.74,4812.0,2.9,20780.0,0.65,88.78 +48902,Russia,2009,Cholera,Parasitic,0.1,4.1,7.7,0-18,Other,688926,95.62,2.21,2.83,Medication,5553.0,No,52.83,3932.0,7.77,92763.0,0.87,36.41 +48911,Turkey,2017,Cholera,Infectious,10.45,1.45,0.4,61+,Other,386679,60.94,4.51,4.84,Therapy,18635.0,No,67.65,1944.0,1.96,61844.0,0.7,81.03 +48916,Germany,2007,Hypertension,Bacterial,13.89,10.65,0.3,19-35,Male,17995,58.11,0.76,8.87,Therapy,20554.0,Yes,89.06,4760.0,8.9,92460.0,0.48,78.69 +48922,China,2011,Cancer,Neurological,1.69,14.27,8.35,61+,Male,964839,62.14,0.54,3.89,Surgery,15146.0,Yes,85.67,1356.0,0.27,67970.0,0.58,42.1 +48924,South Korea,2018,Leprosy,Genetic,14.2,1.88,2.69,0-18,Male,300729,69.86,2.46,7.16,Therapy,31123.0,Yes,78.02,2639.0,5.17,79790.0,0.75,45.09 +48931,Russia,2021,Dengue,Bacterial,0.91,1.97,9.06,61+,Male,113725,56.85,1.32,9.71,Surgery,48000.0,No,96.34,4828.0,5.36,46136.0,0.83,84.83 +48933,South Korea,2014,HIV/AIDS,Bacterial,3.7,13.79,0.59,0-18,Other,193587,56.4,2.32,2.26,Vaccination,33507.0,No,94.62,981.0,1.84,63791.0,0.61,47.19 +48934,Germany,2022,Cancer,Chronic,11.16,14.0,0.74,19-35,Female,506137,77.67,4.93,8.15,Surgery,2324.0,Yes,71.65,3008.0,5.76,35595.0,0.82,69.27 +48935,Mexico,2023,Diabetes,Neurological,5.04,3.7,6.55,0-18,Other,286321,91.5,0.87,8.4,Medication,43809.0,No,70.18,926.0,3.13,6862.0,0.56,78.4 +48939,Indonesia,2024,Measles,Bacterial,1.98,3.64,5.38,0-18,Female,250492,80.15,2.49,2.92,Vaccination,27013.0,No,74.72,4272.0,1.13,47910.0,0.89,22.2 +48940,South Korea,2010,Polio,Viral,5.38,8.03,5.55,61+,Male,602393,52.91,0.78,1.6,Medication,25591.0,No,84.03,1642.0,1.4,74717.0,0.51,36.68 +48941,Indonesia,2008,Polio,Respiratory,16.92,14.66,9.8,36-60,Male,313945,86.91,4.72,9.34,Vaccination,47844.0,No,62.31,2375.0,2.28,93986.0,0.87,57.11 +48944,South Africa,2022,Rabies,Neurological,10.29,11.54,5.29,0-18,Female,839071,62.29,1.89,7.47,Vaccination,7834.0,Yes,59.35,2640.0,6.98,16462.0,0.47,58.35 +48950,Canada,2014,Hepatitis,Genetic,14.64,4.17,4.48,0-18,Other,368184,58.79,2.69,5.45,Therapy,17893.0,No,95.51,1981.0,9.05,48704.0,0.8,47.36 +48954,Russia,2022,Alzheimer's Disease,Chronic,14.99,14.11,5.75,0-18,Other,432644,65.91,1.3,0.8,Vaccination,41662.0,Yes,61.67,344.0,5.02,62681.0,0.64,21.78 +48963,Indonesia,2015,Rabies,Metabolic,14.46,14.13,6.86,0-18,Male,184579,53.11,1.84,7.06,Vaccination,2933.0,No,81.31,1015.0,7.4,21672.0,0.49,53.28 +48970,UK,2006,Ebola,Genetic,2.49,11.41,5.33,36-60,Male,454060,77.75,4.64,5.23,Therapy,27025.0,Yes,94.36,2878.0,1.68,11325.0,0.71,51.52 +48971,Turkey,2006,Influenza,Viral,14.5,5.59,5.06,0-18,Other,912538,96.08,3.88,6.8,Surgery,30355.0,Yes,54.48,3561.0,6.68,35592.0,0.61,55.98 +48979,Saudi Arabia,2007,Ebola,Infectious,10.74,9.71,5.96,61+,Other,183410,98.11,3.2,8.83,Vaccination,39815.0,No,93.07,1748.0,1.1,58871.0,0.64,72.28 +48983,China,2011,Rabies,Infectious,1.31,3.57,4.25,61+,Male,247472,87.56,1.19,0.57,Therapy,43323.0,Yes,91.77,1783.0,6.2,17080.0,0.65,27.34 +49001,South Korea,2022,Rabies,Chronic,6.45,9.81,6.24,19-35,Other,560801,70.67,0.84,8.08,Surgery,27108.0,No,98.32,1930.0,8.79,61057.0,0.46,49.57 +49002,France,2018,Tuberculosis,Metabolic,1.95,2.9,3.28,61+,Female,222008,74.87,1.05,8.43,Medication,30054.0,Yes,50.13,3675.0,4.67,10227.0,0.48,34.89 +49010,Australia,2018,Asthma,Viral,6.29,0.27,9.84,36-60,Other,47377,92.58,4.74,7.69,Medication,47185.0,No,56.41,3319.0,0.62,73349.0,0.69,73.89 +49015,Canada,2006,Zika,Chronic,0.39,12.35,2.73,19-35,Other,206845,59.47,2.61,9.6,Therapy,35665.0,Yes,79.34,2734.0,7.25,75304.0,0.47,23.38 +49017,Italy,2021,Cancer,Infectious,8.06,10.55,1.91,61+,Other,757101,74.94,3.35,4.81,Medication,27944.0,No,98.24,2499.0,6.83,63913.0,0.46,67.66 +49021,South Korea,2004,Diabetes,Respiratory,16.45,1.34,4.03,0-18,Female,866216,83.89,4.59,2.08,Vaccination,27682.0,Yes,64.69,1767.0,1.22,86366.0,0.55,63.89 +49037,Nigeria,2024,Hepatitis,Metabolic,16.13,9.84,7.94,19-35,Male,365143,56.6,2.39,8.68,Vaccination,34840.0,No,52.16,1965.0,9.36,83961.0,0.63,81.81 +49039,UK,2014,Rabies,Neurological,0.37,13.2,7.43,36-60,Female,751557,59.84,3.59,5.25,Vaccination,24254.0,Yes,94.51,4901.0,5.62,30359.0,0.53,60.92 +49040,Saudi Arabia,2005,Ebola,Viral,9.84,1.92,4.96,61+,Female,5785,57.9,2.11,0.7,Surgery,41111.0,No,68.05,2125.0,9.67,35018.0,0.6,86.56 +49041,Germany,2022,Leprosy,Cardiovascular,12.01,1.88,6.26,19-35,Female,240629,65.33,4.93,9.05,Therapy,25528.0,Yes,70.72,1864.0,6.94,28080.0,0.88,36.38 +49045,UK,2015,Leprosy,Viral,5.45,3.39,1.64,61+,Male,836572,59.52,2.23,7.45,Therapy,27050.0,Yes,73.28,365.0,4.79,29739.0,0.62,75.59 +49049,Russia,2022,Hepatitis,Neurological,17.35,0.57,5.33,36-60,Other,432653,75.82,3.38,9.89,Medication,43522.0,Yes,84.17,4757.0,4.55,55695.0,0.47,55.68 +49054,Russia,2014,Leprosy,Chronic,13.87,3.59,7.35,19-35,Female,917940,96.37,4.06,3.76,Therapy,40236.0,No,76.54,1262.0,7.7,54477.0,0.74,82.8 +49058,Mexico,2016,Malaria,Chronic,12.39,3.33,4.66,19-35,Female,100908,85.28,2.12,0.92,Vaccination,20803.0,No,97.35,366.0,5.98,22260.0,0.89,88.55 +49060,Indonesia,2021,Cancer,Genetic,7.2,1.1,6.2,61+,Female,616233,70.99,1.96,3.67,Therapy,1443.0,Yes,62.69,2656.0,2.28,40533.0,0.81,57.16 +49066,UK,2001,Rabies,Metabolic,8.47,11.69,6.82,61+,Other,114821,72.7,2.91,8.1,Therapy,33458.0,Yes,98.71,4725.0,2.9,38410.0,0.77,73.77 +49072,Turkey,2004,Tuberculosis,Respiratory,6.43,11.69,4.08,19-35,Other,20899,96.02,4.21,3.78,Surgery,48347.0,No,57.28,3988.0,3.26,42447.0,0.63,39.61 +49077,USA,2022,Zika,Respiratory,8.8,9.08,0.96,19-35,Male,67067,91.73,2.46,0.52,Medication,33214.0,No,75.93,3727.0,0.97,98667.0,0.72,83.99 +49080,France,2008,Influenza,Autoimmune,19.69,13.72,5.46,61+,Other,656085,74.6,4.18,5.12,Vaccination,30102.0,Yes,96.07,2099.0,0.43,9550.0,0.48,86.15 +49085,Brazil,2018,Dengue,Autoimmune,2.01,8.27,2.77,19-35,Male,837632,58.21,3.23,9.72,Medication,22944.0,No,54.43,208.0,8.03,84438.0,0.76,34.23 +49088,France,2021,Parkinson's Disease,Respiratory,18.75,6.84,9.01,36-60,Female,860888,55.19,3.54,3.91,Vaccination,34630.0,Yes,71.96,3367.0,3.13,22961.0,0.46,71.57 +49092,Saudi Arabia,2016,Measles,Metabolic,10.96,12.43,7.05,0-18,Female,259513,77.1,4.54,4.27,Vaccination,44502.0,Yes,66.87,4586.0,0.22,31746.0,0.65,85.94 +49103,China,2010,Parkinson's Disease,Viral,0.18,3.66,2.88,36-60,Female,823750,54.95,3.67,2.27,Surgery,31671.0,Yes,61.87,4842.0,6.96,34773.0,0.41,60.75 +49109,Brazil,2008,Ebola,Bacterial,4.57,13.24,1.44,61+,Female,427643,59.39,4.7,1.63,Therapy,40830.0,No,69.44,1140.0,6.39,24449.0,0.48,80.04 +49110,Australia,2023,Dengue,Neurological,13.48,9.22,7.7,61+,Female,182989,74.52,1.32,3.02,Vaccination,38125.0,Yes,72.23,1214.0,9.08,70397.0,0.57,66.4 +49111,China,2005,Cancer,Respiratory,6.78,11.05,9.51,19-35,Male,856081,86.39,1.45,2.1,Therapy,3605.0,Yes,62.98,1190.0,9.41,7199.0,0.77,75.3 +49118,Argentina,2001,Cholera,Neurological,3.11,9.77,5.3,61+,Male,849194,58.33,3.42,5.38,Therapy,46532.0,No,52.82,4588.0,8.68,39478.0,0.62,36.89 +49132,Indonesia,2018,Measles,Bacterial,14.48,5.47,7.49,19-35,Female,556134,61.67,4.49,6.53,Surgery,45334.0,Yes,92.4,842.0,7.78,69149.0,0.41,35.54 +49134,China,2017,Asthma,Neurological,19.16,3.95,1.51,19-35,Other,552827,93.72,3.68,0.78,Surgery,13847.0,Yes,56.85,4483.0,6.36,99866.0,0.47,72.07 +49135,Italy,2020,Measles,Infectious,17.38,14.46,6.39,61+,Other,678013,97.3,2.72,9.02,Therapy,24638.0,Yes,98.93,4476.0,1.1,33482.0,0.58,48.89 +49137,Italy,2015,Influenza,Infectious,7.5,7.59,8.31,19-35,Male,202873,84.79,2.03,2.78,Surgery,48765.0,No,82.08,1101.0,7.13,23218.0,0.73,38.0 +49138,Mexico,2020,Dengue,Chronic,14.75,5.28,1.58,36-60,Other,918193,53.52,4.81,7.6,Surgery,35634.0,Yes,57.6,4365.0,1.93,9841.0,0.62,45.71 +49140,Russia,2017,Polio,Chronic,9.91,9.27,2.49,0-18,Other,225500,82.61,3.07,8.39,Vaccination,1559.0,No,57.73,4286.0,1.34,21994.0,0.53,86.33 +49141,China,2001,Dengue,Respiratory,10.06,13.9,9.69,61+,Female,541070,93.07,2.18,9.22,Vaccination,40608.0,Yes,84.97,1406.0,1.59,84829.0,0.46,40.12 +49149,Germany,2020,COVID-19,Neurological,1.95,11.11,5.05,0-18,Other,134613,93.68,4.99,1.43,Medication,18963.0,Yes,67.11,3687.0,5.08,73750.0,0.73,36.25 +49158,India,2002,Alzheimer's Disease,Autoimmune,15.34,7.31,5.96,0-18,Female,992499,52.6,1.09,6.38,Surgery,17042.0,No,70.82,4160.0,3.88,73121.0,0.63,35.39 +49160,Russia,2018,Parkinson's Disease,Viral,17.84,7.44,1.35,36-60,Female,367678,50.55,2.52,8.88,Medication,29800.0,No,66.06,3394.0,9.16,64142.0,0.61,57.07 +49177,Japan,2003,Hypertension,Respiratory,16.62,1.43,6.02,61+,Male,130878,91.46,1.25,5.51,Medication,4108.0,Yes,70.27,2084.0,6.05,67845.0,0.44,37.75 +49182,Italy,2007,Cancer,Chronic,13.81,3.86,5.71,19-35,Female,641868,89.11,1.98,6.13,Surgery,21906.0,Yes,96.92,4766.0,9.6,55784.0,0.79,63.32 +49186,UK,2014,Zika,Cardiovascular,6.93,11.32,2.12,19-35,Other,420119,94.89,1.81,2.38,Surgery,158.0,Yes,89.68,3247.0,2.41,70225.0,0.62,84.82 +49187,China,2002,Measles,Genetic,4.17,5.53,9.2,19-35,Other,354471,74.95,1.15,4.64,Vaccination,10417.0,No,61.34,482.0,8.16,14463.0,0.68,24.83 +49206,Brazil,2007,Asthma,Metabolic,18.61,3.93,8.32,36-60,Other,639582,99.19,4.52,9.61,Medication,4371.0,No,56.95,3472.0,3.04,50972.0,0.72,67.63 +49207,India,2003,Influenza,Infectious,9.48,8.77,5.5,0-18,Female,973188,88.65,1.03,8.44,Medication,35900.0,No,88.16,1935.0,4.34,83858.0,0.7,35.54 +49211,Russia,2003,Diabetes,Cardiovascular,16.36,4.92,3.41,19-35,Male,517375,59.08,2.94,4.53,Vaccination,27387.0,Yes,70.26,1226.0,4.03,56112.0,0.53,65.99 +49219,Turkey,2024,COVID-19,Viral,4.5,1.92,2.87,0-18,Other,170785,92.77,4.92,2.83,Medication,34897.0,No,85.26,136.0,3.74,60312.0,0.45,36.57 +49222,Italy,2007,Leprosy,Chronic,6.05,1.55,7.74,61+,Other,311914,99.01,0.51,0.98,Medication,358.0,Yes,94.13,2604.0,1.73,41741.0,0.59,42.58 +49232,India,2020,Polio,Chronic,9.43,11.84,2.49,61+,Male,262275,57.45,1.2,4.96,Vaccination,40360.0,Yes,63.54,4218.0,1.93,65092.0,0.64,79.86 +49236,Germany,2020,Cancer,Chronic,0.86,12.0,0.35,19-35,Male,322927,61.09,4.01,8.3,Vaccination,10350.0,Yes,83.79,2244.0,6.07,48899.0,0.42,37.67 +49256,Indonesia,2009,Diabetes,Infectious,9.07,11.01,5.5,0-18,Male,662825,93.5,1.08,1.01,Therapy,36679.0,No,89.13,4719.0,7.5,52132.0,0.57,47.94 +49257,India,2001,Cholera,Viral,12.92,5.31,2.68,61+,Other,866923,61.28,4.59,4.5,Therapy,11168.0,Yes,60.53,2488.0,5.83,42450.0,0.82,20.6 +49262,Mexico,2021,Measles,Autoimmune,7.15,13.26,8.56,36-60,Male,191451,67.73,2.4,2.77,Therapy,7037.0,Yes,86.99,2112.0,8.73,71892.0,0.8,29.96 +49265,Mexico,2006,COVID-19,Neurological,0.59,12.28,0.35,61+,Male,668575,59.35,0.6,1.32,Vaccination,49096.0,No,90.91,1229.0,3.65,31547.0,0.52,89.63 +49273,Canada,2020,COVID-19,Parasitic,4.29,0.93,7.52,61+,Male,426159,54.79,2.14,1.6,Surgery,25947.0,No,80.11,1055.0,0.43,75750.0,0.68,70.25 +49276,Saudi Arabia,2024,Dengue,Parasitic,19.29,12.07,5.9,61+,Other,260152,74.55,2.64,6.33,Medication,16043.0,Yes,74.76,809.0,2.4,39848.0,0.64,68.87 +49287,UK,2017,Ebola,Autoimmune,17.4,10.67,0.78,0-18,Other,715485,68.76,3.95,9.67,Medication,15984.0,No,84.44,2951.0,2.21,38127.0,0.64,74.38 +49293,Germany,2018,COVID-19,Neurological,16.6,0.81,8.53,61+,Male,302846,91.2,1.82,2.89,Vaccination,3666.0,Yes,80.24,3607.0,5.07,93587.0,0.63,43.24 +49296,Australia,2007,Cancer,Autoimmune,9.85,2.37,6.59,0-18,Male,996548,90.06,4.87,9.89,Surgery,30687.0,No,83.14,3531.0,0.59,95418.0,0.41,61.79 +49304,Italy,2012,Hepatitis,Autoimmune,4.46,3.55,1.87,19-35,Other,972640,82.43,1.06,7.71,Medication,33647.0,Yes,92.72,64.0,3.38,74646.0,0.7,35.3 +49305,China,2013,Ebola,Parasitic,4.9,1.96,9.85,0-18,Male,354227,68.09,2.47,4.68,Therapy,22474.0,Yes,70.18,670.0,1.5,5556.0,0.57,65.79 +49310,Mexico,2024,Alzheimer's Disease,Neurological,13.56,3.53,4.36,61+,Male,28877,55.47,1.96,8.53,Surgery,21939.0,Yes,75.01,2386.0,6.21,19163.0,0.65,24.04 +49315,France,2010,Cholera,Genetic,10.7,9.66,1.72,0-18,Female,810605,65.4,4.73,8.3,Surgery,14302.0,Yes,89.31,3197.0,8.25,19877.0,0.49,40.92 +49316,China,2002,Diabetes,Bacterial,2.96,7.11,7.45,19-35,Female,387006,50.09,2.24,4.21,Medication,16614.0,No,83.5,61.0,7.06,12537.0,0.85,29.34 +49323,Italy,2018,HIV/AIDS,Metabolic,8.09,7.31,4.96,61+,Male,978792,66.34,1.45,7.86,Therapy,45345.0,Yes,77.23,3337.0,8.39,42877.0,0.85,20.74 +49327,Turkey,2008,HIV/AIDS,Neurological,8.88,3.99,0.81,61+,Other,189433,61.76,3.88,1.53,Surgery,39477.0,Yes,62.53,4028.0,9.36,26589.0,0.51,20.66 +49330,Mexico,2020,Influenza,Autoimmune,19.32,2.4,8.87,0-18,Other,730828,97.99,4.69,8.34,Surgery,44631.0,Yes,63.45,2173.0,5.3,64152.0,0.88,34.1 +49332,UK,2016,Polio,Parasitic,17.68,14.37,6.74,19-35,Other,122136,63.17,1.16,3.2,Vaccination,33463.0,No,75.07,4347.0,4.73,27912.0,0.61,83.06 +49335,India,2016,Tuberculosis,Bacterial,6.35,12.89,3.73,0-18,Other,610828,68.44,2.06,8.44,Therapy,3633.0,No,80.14,956.0,7.29,56941.0,0.75,40.11 +49342,China,2020,Parkinson's Disease,Autoimmune,3.17,8.53,6.99,0-18,Other,415419,95.39,1.8,2.14,Medication,42786.0,Yes,56.41,4987.0,6.98,20168.0,0.62,42.0 +49343,Nigeria,2013,Dengue,Genetic,8.4,7.16,6.4,19-35,Male,795081,52.11,4.66,9.87,Vaccination,42553.0,Yes,96.06,1330.0,2.29,4632.0,0.76,74.47 +49345,Saudi Arabia,2011,Diabetes,Genetic,12.15,8.84,3.3,0-18,Female,740866,86.57,3.9,2.61,Surgery,6818.0,Yes,69.65,658.0,9.7,59053.0,0.77,33.66 +49349,India,2015,Parkinson's Disease,Genetic,5.38,14.31,1.98,36-60,Female,405855,63.44,4.38,9.46,Medication,13513.0,Yes,73.87,680.0,7.54,11125.0,0.64,72.12 +49351,Saudi Arabia,2002,Hypertension,Chronic,3.8,7.44,1.15,36-60,Male,685852,59.62,2.29,1.67,Therapy,43557.0,Yes,52.32,405.0,0.51,91082.0,0.76,28.58 +49359,Russia,2002,Cancer,Bacterial,3.62,14.92,4.18,19-35,Female,229991,71.52,3.16,2.31,Therapy,9859.0,Yes,66.55,2109.0,4.8,87969.0,0.57,80.56 +49370,South Korea,2015,Zika,Infectious,17.72,10.17,3.01,61+,Female,378443,81.26,0.57,6.06,Surgery,46573.0,Yes,94.91,4682.0,8.36,22186.0,0.79,59.59 +49374,Japan,2002,COVID-19,Infectious,2.84,14.36,4.51,0-18,Female,255892,89.83,2.24,7.53,Surgery,40680.0,Yes,53.01,42.0,0.28,43989.0,0.6,77.91 +49389,USA,2010,Malaria,Autoimmune,2.39,10.22,7.54,19-35,Female,266199,55.44,4.23,4.43,Surgery,25643.0,Yes,67.78,1240.0,7.47,91618.0,0.62,62.38 +49401,Turkey,2018,Parkinson's Disease,Neurological,10.03,3.36,7.41,0-18,Male,556141,98.09,4.35,2.44,Surgery,28938.0,Yes,87.57,785.0,7.37,97672.0,0.77,63.87 +49403,India,2005,Leprosy,Genetic,6.43,4.96,4.77,0-18,Other,544121,97.41,4.07,3.11,Vaccination,14146.0,No,88.0,2572.0,4.91,24288.0,0.84,84.9 +49405,Australia,2020,Tuberculosis,Neurological,3.49,0.86,3.99,61+,Other,214003,70.83,0.57,6.16,Surgery,48364.0,Yes,61.69,3095.0,7.58,29408.0,0.59,60.8 +49407,USA,2015,Hepatitis,Autoimmune,5.53,13.4,3.71,61+,Male,267687,85.28,4.36,7.8,Vaccination,11618.0,Yes,73.04,3438.0,5.91,94173.0,0.41,61.95 +49408,Australia,2008,Ebola,Neurological,1.93,13.96,3.79,36-60,Other,258373,52.22,1.83,7.03,Medication,41242.0,No,86.22,87.0,0.61,61943.0,0.85,81.67 +49409,Brazil,2012,Alzheimer's Disease,Genetic,12.88,7.2,9.43,61+,Male,32819,87.01,1.09,5.6,Medication,15218.0,No,86.46,248.0,3.32,55042.0,0.8,41.21 +49410,Italy,2008,Tuberculosis,Cardiovascular,7.14,9.33,5.09,36-60,Male,542675,89.83,3.82,1.96,Therapy,30911.0,No,70.01,721.0,6.98,36429.0,0.41,31.75 +49412,Russia,2021,Malaria,Bacterial,18.5,9.41,8.56,0-18,Female,346508,77.35,3.45,6.82,Medication,49491.0,No,55.53,3455.0,6.33,72399.0,0.62,75.55 +49418,Japan,2019,Dengue,Respiratory,6.08,7.57,1.95,36-60,Other,184886,77.39,0.79,4.95,Medication,10275.0,No,96.34,493.0,0.38,93328.0,0.76,78.5 +49419,Indonesia,2002,Polio,Infectious,9.41,14.46,2.56,0-18,Other,769011,82.76,4.85,6.78,Medication,7485.0,No,95.09,3483.0,0.23,8175.0,0.57,86.44 +49420,France,2016,Alzheimer's Disease,Respiratory,19.43,14.36,2.79,61+,Other,39169,80.91,2.4,4.31,Surgery,24535.0,No,81.69,2566.0,5.22,30585.0,0.87,43.6 +49426,Indonesia,2018,Cancer,Genetic,16.06,9.07,8.77,19-35,Female,264549,51.82,3.09,1.13,Therapy,34950.0,No,68.34,4061.0,3.45,8610.0,0.51,54.81 +49431,South Korea,2017,Parkinson's Disease,Bacterial,16.87,2.95,3.97,36-60,Male,723958,89.19,4.7,4.73,Surgery,46628.0,Yes,94.13,219.0,7.0,74562.0,0.63,61.85 +49434,Brazil,2000,Cancer,Metabolic,9.76,14.81,7.55,19-35,Male,566177,79.19,2.31,6.33,Surgery,42443.0,No,70.66,4595.0,3.7,7254.0,0.79,30.24 +49438,Mexico,2001,Dengue,Respiratory,6.83,2.59,0.16,19-35,Other,971188,60.44,2.23,8.01,Surgery,28650.0,No,72.82,3464.0,4.95,20597.0,0.47,85.46 +49441,USA,2012,Asthma,Respiratory,12.95,10.25,5.78,19-35,Other,459799,97.41,3.14,5.68,Therapy,20566.0,No,80.38,3687.0,6.08,40416.0,0.62,22.27 +49444,India,2018,HIV/AIDS,Autoimmune,15.05,11.38,0.3,19-35,Other,556837,53.58,4.51,8.58,Medication,23610.0,No,63.68,1954.0,3.76,16827.0,0.81,22.32 +49446,France,2014,Hypertension,Viral,19.28,6.61,7.24,0-18,Other,403210,93.13,4.21,6.88,Medication,49808.0,No,66.94,661.0,0.54,65941.0,0.73,48.11 +49450,Indonesia,2021,Tuberculosis,Respiratory,12.56,0.24,9.56,36-60,Male,410227,64.7,3.4,8.69,Surgery,23793.0,No,77.61,2915.0,8.38,73135.0,0.43,76.25 +49457,South Africa,2005,Influenza,Cardiovascular,17.33,13.1,6.13,61+,Female,12781,91.77,0.73,4.27,Surgery,5118.0,Yes,89.68,153.0,4.12,49576.0,0.68,56.11 +49460,South Africa,2008,Cancer,Cardiovascular,11.67,13.27,0.46,36-60,Female,646081,52.97,4.96,9.95,Therapy,21204.0,Yes,96.64,612.0,9.14,51824.0,0.72,46.92 +49461,Germany,2007,Alzheimer's Disease,Parasitic,1.67,3.97,9.44,61+,Other,770666,96.86,2.43,7.25,Surgery,6720.0,No,88.14,3269.0,6.0,62930.0,0.9,51.96 +49466,Saudi Arabia,2002,Ebola,Neurological,7.47,2.23,1.42,19-35,Male,338842,70.24,1.09,2.37,Surgery,44437.0,No,69.66,3785.0,3.75,20064.0,0.54,63.96 +49468,Russia,2020,Measles,Genetic,7.64,0.89,3.65,19-35,Other,308405,90.85,1.25,2.01,Vaccination,34564.0,No,91.71,1115.0,8.65,91780.0,0.5,30.12 +49470,Australia,2014,Tuberculosis,Viral,13.47,13.25,6.09,0-18,Other,451070,97.03,4.64,6.54,Therapy,19703.0,No,74.51,674.0,9.8,82000.0,0.59,52.04 +49479,Nigeria,2007,Ebola,Genetic,13.35,9.21,0.51,36-60,Female,372031,81.42,2.56,3.55,Surgery,31661.0,No,88.76,207.0,5.2,41583.0,0.42,43.18 +49480,Italy,2007,Hepatitis,Parasitic,5.56,13.03,7.87,36-60,Male,234458,72.32,4.02,3.13,Medication,23593.0,No,86.09,1727.0,7.26,63521.0,0.56,66.85 +49495,India,2014,Zika,Genetic,2.1,11.5,1.95,0-18,Other,419438,65.29,4.52,6.74,Vaccination,46188.0,No,85.69,2345.0,1.87,16832.0,0.5,64.38 +49505,South Korea,2016,Zika,Cardiovascular,4.65,9.15,6.64,19-35,Male,5141,89.63,4.72,1.65,Medication,27433.0,No,58.82,729.0,1.1,8638.0,0.86,33.9 +49506,Turkey,2024,Malaria,Parasitic,13.91,4.71,3.98,0-18,Other,676757,85.55,3.75,8.81,Vaccination,27814.0,Yes,98.81,444.0,2.11,8047.0,0.54,32.15 +49516,Turkey,2003,Hepatitis,Neurological,9.72,6.07,5.46,36-60,Female,237666,59.21,2.62,2.43,Surgery,22270.0,Yes,54.34,216.0,1.88,5590.0,0.79,27.82 +49518,Russia,2004,Diabetes,Bacterial,18.1,12.04,6.83,19-35,Other,262357,81.25,3.76,5.14,Therapy,39804.0,No,76.56,372.0,6.85,27086.0,0.55,72.74 +49522,Brazil,2003,Rabies,Viral,10.19,14.95,4.32,0-18,Female,78284,88.33,4.22,7.5,Vaccination,615.0,No,57.22,1155.0,1.61,20249.0,0.76,44.68 +49523,Saudi Arabia,2011,COVID-19,Respiratory,0.86,7.26,9.85,19-35,Other,396792,84.49,2.98,2.91,Vaccination,9518.0,Yes,97.33,4723.0,1.22,56186.0,0.82,55.58 +49537,South Africa,2018,Rabies,Chronic,5.85,1.41,8.96,36-60,Male,699164,69.81,0.67,6.02,Surgery,27721.0,No,74.3,3214.0,0.64,35915.0,0.56,84.97 +49541,USA,2007,Ebola,Viral,14.53,7.56,5.71,19-35,Female,642757,57.65,4.73,4.88,Medication,33489.0,No,51.65,2788.0,4.18,78771.0,0.44,85.07 +49544,Canada,2019,Cholera,Respiratory,8.03,1.35,0.1,36-60,Female,508899,59.82,3.28,9.23,Surgery,20964.0,Yes,84.84,1824.0,2.92,19069.0,0.5,67.91 +49549,Argentina,2024,HIV/AIDS,Infectious,13.61,8.33,8.66,19-35,Female,664270,57.95,1.22,6.27,Vaccination,37218.0,No,68.11,3160.0,3.65,46846.0,0.51,86.91 +49551,Turkey,2016,Malaria,Neurological,6.14,11.84,7.52,0-18,Male,730663,54.17,0.53,3.15,Vaccination,45055.0,No,62.95,825.0,6.71,89248.0,0.63,49.53 +49552,France,2016,Hypertension,Metabolic,19.85,0.86,6.67,0-18,Other,497141,85.58,0.85,5.83,Therapy,14686.0,Yes,82.25,1731.0,5.48,18956.0,0.63,81.5 +49556,China,2007,Measles,Parasitic,10.69,7.51,2.36,19-35,Male,419241,57.42,0.62,2.5,Surgery,13271.0,Yes,96.81,2158.0,7.57,8578.0,0.83,78.73 +49562,Nigeria,2009,Ebola,Infectious,2.26,14.0,2.53,36-60,Female,388296,98.47,3.25,3.67,Surgery,12787.0,Yes,96.85,2457.0,9.23,21302.0,0.6,34.79 +49563,UK,2009,Hypertension,Infectious,2.23,10.35,7.52,36-60,Male,660828,86.87,2.18,5.16,Vaccination,45222.0,Yes,83.37,3487.0,0.05,27266.0,0.61,63.52 +49571,Canada,2007,Alzheimer's Disease,Viral,5.6,4.89,3.06,61+,Other,462552,57.06,4.21,4.42,Therapy,33963.0,Yes,81.54,4138.0,0.02,37828.0,0.86,41.37 +49573,Mexico,2013,Influenza,Viral,10.89,11.78,5.96,0-18,Other,233594,66.54,1.65,1.55,Medication,15539.0,No,89.93,1962.0,9.12,24588.0,0.71,26.99 +49577,Canada,2017,Measles,Respiratory,8.26,4.62,1.49,61+,Other,289090,79.33,2.93,4.12,Vaccination,27912.0,Yes,79.5,1644.0,6.92,52139.0,0.64,61.54 +49581,Turkey,2015,Cancer,Metabolic,4.18,10.66,4.18,19-35,Other,651546,69.43,3.6,6.3,Vaccination,35752.0,No,85.31,1966.0,6.71,71481.0,0.87,70.81 +49588,Indonesia,2020,Polio,Viral,0.19,7.44,4.83,36-60,Other,303914,52.95,3.03,4.99,Therapy,12932.0,Yes,93.7,3148.0,9.46,71667.0,0.5,48.82 +49589,South Africa,2023,Measles,Parasitic,4.51,2.91,5.5,19-35,Other,438812,92.51,1.49,1.41,Therapy,45704.0,No,54.72,3200.0,4.22,61863.0,0.74,34.67 +49590,Italy,2017,Zika,Metabolic,13.73,9.96,3.23,61+,Male,857796,80.92,4.04,9.91,Medication,28222.0,Yes,62.8,2337.0,9.28,77970.0,0.63,72.8 +49599,France,2002,Tuberculosis,Bacterial,14.34,10.22,6.45,19-35,Other,144109,93.57,3.5,7.97,Vaccination,10352.0,No,55.21,1143.0,6.1,2519.0,0.5,82.04 +49605,USA,2015,HIV/AIDS,Bacterial,13.79,14.77,6.24,19-35,Male,132123,50.27,4.22,1.49,Vaccination,12538.0,No,57.34,2337.0,2.95,10347.0,0.62,74.58 +49612,Japan,2012,Cancer,Infectious,18.14,5.68,1.95,0-18,Other,658584,89.48,4.85,9.19,Surgery,2908.0,No,91.96,4817.0,9.1,38317.0,0.66,73.63 +49615,South Korea,2017,Cancer,Viral,3.68,13.16,3.55,61+,Male,394403,74.21,1.43,6.64,Vaccination,7234.0,Yes,87.53,3288.0,8.24,66742.0,0.86,64.82 +49616,USA,2003,Polio,Respiratory,19.38,12.88,9.43,19-35,Male,602734,75.27,4.39,2.65,Medication,27405.0,Yes,52.86,2124.0,9.58,12300.0,0.69,88.82 +49638,UK,2013,Malaria,Metabolic,5.08,11.48,4.25,36-60,Other,816677,65.58,3.35,2.06,Vaccination,31745.0,No,92.98,3175.0,6.28,12213.0,0.51,24.69 +49643,Germany,2009,Alzheimer's Disease,Viral,14.58,14.86,6.49,36-60,Other,391516,58.79,0.86,4.2,Vaccination,49496.0,No,92.98,2520.0,2.72,11980.0,0.74,26.66 +49645,Indonesia,2014,Leprosy,Genetic,0.99,1.1,9.53,0-18,Female,806803,62.52,1.25,1.66,Surgery,15530.0,Yes,81.77,3891.0,1.79,50274.0,0.59,48.29 +49646,USA,2009,Cancer,Respiratory,15.27,3.36,8.62,61+,Other,793418,50.11,2.99,6.18,Medication,21665.0,No,63.0,2629.0,5.41,16755.0,0.84,61.85 +49647,China,2004,Influenza,Metabolic,12.6,9.98,8.09,61+,Female,210388,60.61,1.47,6.99,Medication,25782.0,Yes,75.09,1253.0,4.34,21619.0,0.79,76.85 +49650,USA,2005,Influenza,Metabolic,1.43,6.0,7.69,61+,Male,840760,88.66,4.33,3.01,Therapy,7737.0,Yes,81.6,398.0,0.07,72712.0,0.46,46.03 +49651,Argentina,2023,HIV/AIDS,Parasitic,10.23,13.63,5.23,61+,Other,271722,71.38,3.15,3.44,Therapy,15798.0,No,86.91,4726.0,2.35,40085.0,0.65,58.14 +49665,Argentina,2007,Cholera,Bacterial,15.06,14.24,7.32,0-18,Male,844765,50.09,1.67,9.14,Therapy,37928.0,No,60.74,690.0,2.14,30869.0,0.61,27.91 +49680,Australia,2017,Polio,Infectious,7.64,14.3,1.04,36-60,Male,174589,50.34,3.44,3.37,Medication,40004.0,Yes,93.61,4112.0,2.49,57644.0,0.74,69.97 +49694,South Korea,2012,Hypertension,Cardiovascular,12.27,4.09,0.11,61+,Male,466630,83.09,3.69,6.41,Vaccination,29585.0,Yes,81.11,1925.0,1.36,68385.0,0.59,24.58 +49698,Saudi Arabia,2014,Dengue,Viral,14.55,3.21,3.57,0-18,Other,197439,74.91,2.47,6.15,Therapy,34376.0,Yes,74.32,2659.0,9.58,62557.0,0.61,66.23 +49703,France,2021,Alzheimer's Disease,Metabolic,8.21,13.99,4.83,36-60,Male,393175,84.17,1.18,4.78,Therapy,19121.0,Yes,72.49,3881.0,6.81,24573.0,0.88,81.67 +49710,Saudi Arabia,2015,Cholera,Bacterial,0.77,11.56,8.73,36-60,Female,699860,85.42,2.12,0.67,Therapy,14847.0,Yes,83.36,2569.0,6.22,83948.0,0.89,34.68 +49716,Canada,2011,Malaria,Viral,8.21,9.31,9.89,19-35,Male,931801,50.62,5.0,5.38,Therapy,10225.0,No,76.59,3905.0,2.49,16638.0,0.82,79.38 +49722,Japan,2022,Asthma,Neurological,10.02,9.25,3.31,19-35,Female,234996,86.54,4.45,6.09,Vaccination,36178.0,Yes,78.31,3116.0,5.27,78948.0,0.83,51.39 +49727,Nigeria,2021,Measles,Chronic,3.3,12.2,4.99,61+,Female,513033,97.57,1.25,3.24,Medication,46719.0,Yes,72.89,3139.0,0.01,5282.0,0.85,28.49 +49732,South Korea,2006,Ebola,Viral,17.13,9.48,6.82,19-35,Other,421239,70.33,2.97,2.95,Therapy,11975.0,No,80.88,613.0,2.09,79588.0,0.6,65.69 +49746,Mexico,2018,Zika,Genetic,12.91,5.37,5.24,0-18,Other,297443,79.28,2.15,0.99,Surgery,14151.0,Yes,90.04,2430.0,7.95,87735.0,0.62,53.99 +49753,Nigeria,2012,Hepatitis,Bacterial,16.84,14.49,4.59,19-35,Female,824679,94.34,0.74,8.28,Vaccination,15975.0,No,87.59,3103.0,0.82,35712.0,0.47,27.92 +49762,China,2012,Cancer,Cardiovascular,0.79,8.57,8.58,19-35,Male,366381,85.52,1.08,4.31,Surgery,38097.0,No,96.37,366.0,3.65,82897.0,0.58,71.71 +49763,Australia,2009,Asthma,Metabolic,19.74,11.73,2.97,0-18,Female,137682,98.83,2.52,1.3,Medication,27289.0,Yes,89.43,259.0,1.93,40824.0,0.49,46.83 +49773,Nigeria,2011,Parkinson's Disease,Respiratory,19.08,0.41,7.79,61+,Other,718366,74.83,1.66,7.51,Therapy,31714.0,Yes,70.62,261.0,3.25,84581.0,0.82,67.74 +49777,Argentina,2000,Hypertension,Infectious,12.07,0.7,7.13,0-18,Other,365811,64.97,4.49,7.16,Surgery,15851.0,No,61.19,787.0,4.82,40589.0,0.58,67.18 +49782,Turkey,2014,Cancer,Chronic,12.47,7.84,1.71,61+,Female,964062,99.59,4.59,8.42,Vaccination,22240.0,Yes,57.36,3828.0,9.74,34395.0,0.73,72.86 +49789,Indonesia,2023,Asthma,Infectious,15.5,4.96,5.0,36-60,Other,755586,52.87,3.36,9.77,Vaccination,22810.0,No,91.83,1629.0,5.19,51585.0,0.46,39.56 +49791,France,2021,Cancer,Chronic,16.52,7.78,9.56,0-18,Male,220791,57.38,2.41,1.67,Therapy,16537.0,No,95.11,1061.0,2.49,13001.0,0.45,66.4 +49803,Turkey,2022,COVID-19,Infectious,1.71,1.89,4.65,0-18,Female,859668,74.94,2.16,3.41,Surgery,36377.0,No,95.16,1184.0,3.91,18195.0,0.62,57.93 +49806,India,2021,Hepatitis,Metabolic,16.26,5.33,8.3,19-35,Other,409732,86.86,2.49,3.72,Therapy,8253.0,No,97.89,4892.0,6.52,27497.0,0.54,39.89 +49809,China,2019,Malaria,Chronic,16.36,9.77,1.6,0-18,Female,486120,90.35,4.96,9.51,Vaccination,29328.0,Yes,98.22,1716.0,3.63,79250.0,0.5,30.61 +49820,Brazil,2016,COVID-19,Genetic,5.09,4.48,2.8,0-18,Female,33960,66.95,2.89,5.14,Therapy,47833.0,Yes,71.68,3864.0,5.73,18199.0,0.89,67.27 +49822,Australia,2024,Influenza,Genetic,14.31,2.13,3.49,0-18,Female,390195,71.39,4.46,4.63,Surgery,22403.0,Yes,54.58,4522.0,6.1,74769.0,0.5,65.6 +49828,Indonesia,2013,Tuberculosis,Respiratory,1.13,6.05,4.59,61+,Other,544552,73.86,1.62,8.84,Therapy,26202.0,Yes,59.58,4717.0,5.48,95336.0,0.49,60.93 +49829,Germany,2009,Tuberculosis,Chronic,3.88,4.65,7.29,61+,Female,522656,94.72,3.91,9.8,Therapy,9531.0,Yes,56.8,49.0,9.68,59914.0,0.41,29.01 +49832,Italy,2003,COVID-19,Genetic,16.53,12.53,0.39,0-18,Other,218893,80.04,1.1,1.19,Therapy,36165.0,No,79.56,3455.0,9.27,5530.0,0.77,86.57 +49839,Nigeria,2011,COVID-19,Genetic,7.63,7.1,9.11,36-60,Other,62151,83.25,1.35,5.47,Medication,40360.0,Yes,66.57,1933.0,9.84,53751.0,0.64,32.42 +49844,China,2016,Alzheimer's Disease,Respiratory,18.82,9.2,4.24,61+,Male,707727,67.52,1.8,4.5,Vaccination,33677.0,Yes,68.17,3709.0,5.09,37512.0,0.72,74.57 +49854,Japan,2007,Rabies,Respiratory,2.31,8.69,4.57,36-60,Female,968294,73.22,3.77,1.31,Vaccination,3269.0,No,76.65,4152.0,5.88,99168.0,0.7,60.78 +49857,Canada,2007,Hepatitis,Chronic,8.49,5.01,7.54,61+,Other,857264,59.16,0.63,4.58,Therapy,5328.0,Yes,51.56,2412.0,0.74,65393.0,0.65,36.28 +49865,South Africa,2003,Cancer,Respiratory,7.1,13.24,8.43,61+,Female,298374,73.84,1.29,9.58,Vaccination,14741.0,Yes,76.1,275.0,5.64,91470.0,0.72,33.57 +49868,Indonesia,2013,Zika,Infectious,11.48,11.7,2.36,19-35,Female,406224,78.81,3.42,7.63,Medication,26263.0,Yes,66.27,4689.0,1.19,61264.0,0.58,55.95 +49870,Japan,2004,Zika,Cardiovascular,15.05,9.48,2.92,36-60,Male,296328,72.48,0.52,9.44,Vaccination,3346.0,Yes,75.05,3773.0,2.63,25341.0,0.5,83.91 +49875,Canada,2019,Parkinson's Disease,Metabolic,18.48,14.47,2.88,36-60,Female,79980,79.85,2.36,6.72,Surgery,47905.0,Yes,75.04,3320.0,8.43,72808.0,0.63,58.34 +49876,Nigeria,2006,Cholera,Bacterial,2.19,0.65,1.97,61+,Female,768088,90.41,1.67,6.49,Medication,25929.0,Yes,85.78,552.0,7.7,5800.0,0.46,38.95 +49877,China,2005,Malaria,Genetic,3.66,0.14,4.4,36-60,Other,519017,50.11,3.01,9.58,Surgery,1657.0,No,80.4,1251.0,7.7,84881.0,0.85,29.09 +49880,India,2002,COVID-19,Respiratory,2.55,10.89,9.62,0-18,Male,870066,68.47,2.73,6.94,Medication,18933.0,No,50.08,2759.0,7.53,80906.0,0.61,37.61 +49887,Japan,2007,Leprosy,Chronic,19.54,10.69,5.6,0-18,Male,677346,89.63,3.08,2.73,Therapy,20173.0,No,85.66,2501.0,0.97,93577.0,0.66,46.54 +49892,Indonesia,2001,HIV/AIDS,Neurological,11.44,11.59,4.39,36-60,Male,307757,96.01,1.53,5.99,Vaccination,31437.0,Yes,54.51,632.0,6.06,98578.0,0.76,31.57 +49893,Italy,2017,Hypertension,Chronic,19.79,10.06,1.51,36-60,Other,562086,58.08,4.31,1.04,Medication,5345.0,Yes,85.49,1636.0,6.23,95837.0,0.49,70.08 +49896,UK,2003,COVID-19,Infectious,7.1,3.11,3.85,19-35,Male,348381,58.9,1.18,4.74,Surgery,22730.0,No,96.86,230.0,9.61,57653.0,0.43,28.72 +49905,South Africa,2020,Diabetes,Respiratory,10.04,6.32,3.49,36-60,Female,376549,50.91,1.6,5.7,Medication,15913.0,Yes,59.4,491.0,9.83,9869.0,0.88,62.97 +49910,Canada,2005,Parkinson's Disease,Viral,8.94,2.75,3.01,61+,Female,743707,58.71,4.02,0.79,Surgery,17795.0,Yes,77.68,2646.0,3.01,63140.0,0.77,46.77 +49920,Brazil,2010,Polio,Viral,3.26,7.19,2.12,0-18,Other,458736,85.12,2.96,9.89,Vaccination,13375.0,Yes,73.38,3190.0,5.1,94425.0,0.63,73.28 +49924,Indonesia,2009,Measles,Respiratory,12.65,2.16,5.29,0-18,Male,709846,95.38,1.45,2.48,Therapy,17012.0,Yes,84.95,1419.0,4.89,91778.0,0.49,86.21 +49926,Italy,2016,Measles,Cardiovascular,1.47,11.66,6.47,61+,Other,760607,90.87,3.36,6.68,Medication,6110.0,No,89.36,4939.0,6.74,49125.0,0.74,47.98 +49931,Canada,2014,Zika,Autoimmune,16.16,12.4,3.29,0-18,Other,643853,87.89,0.81,8.05,Therapy,15972.0,No,73.42,2568.0,6.4,67470.0,0.65,68.33 +49937,Nigeria,2006,Measles,Cardiovascular,1.56,12.81,9.74,0-18,Other,851886,71.36,0.73,7.57,Therapy,6635.0,No,66.19,4276.0,2.21,25525.0,0.43,70.9 +49939,Australia,2016,HIV/AIDS,Genetic,11.39,3.82,2.82,0-18,Other,648837,91.8,2.46,7.43,Vaccination,48723.0,No,92.76,319.0,9.8,69842.0,0.6,46.62 +49940,UK,2000,Hepatitis,Autoimmune,19.68,13.33,0.26,61+,Other,31347,80.91,3.09,9.34,Therapy,39793.0,Yes,81.84,3843.0,3.15,36282.0,0.73,78.49 +49943,Brazil,2018,Measles,Respiratory,8.12,7.01,8.91,36-60,Female,218674,79.91,2.58,4.9,Vaccination,8234.0,No,93.52,2362.0,9.12,24378.0,0.87,76.96 +49944,USA,2003,Hypertension,Viral,2.37,4.52,4.26,61+,Other,93403,51.62,2.49,3.87,Surgery,4173.0,No,64.82,1072.0,9.47,80394.0,0.86,81.55 +49945,Canada,2018,Hepatitis,Autoimmune,17.76,13.74,0.91,0-18,Female,461071,76.56,0.77,3.98,Therapy,49084.0,No,94.35,3997.0,2.08,1750.0,0.58,46.32 +49946,Argentina,2017,Hypertension,Parasitic,10.0,7.9,9.77,19-35,Female,196652,51.17,3.43,9.35,Surgery,31153.0,No,82.21,3470.0,7.26,22150.0,0.52,40.12 +49947,France,2017,Cholera,Chronic,4.37,2.47,6.95,36-60,Male,430845,65.43,1.61,5.5,Therapy,18081.0,No,67.42,2285.0,9.16,23340.0,0.67,24.7 +49949,Japan,2015,Measles,Genetic,9.71,4.11,8.7,36-60,Other,315339,65.47,0.88,7.15,Therapy,6675.0,No,56.18,2384.0,2.81,28394.0,0.75,78.55 +49965,USA,2005,Cancer,Cardiovascular,0.89,13.0,8.59,61+,Other,852385,98.83,2.09,1.77,Medication,18620.0,No,85.29,4299.0,3.76,71892.0,0.45,38.67 +49973,Japan,2011,Asthma,Cardiovascular,8.82,1.18,9.79,19-35,Other,475054,56.52,4.43,4.83,Vaccination,25993.0,No,75.88,534.0,1.36,33194.0,0.67,52.95 +49977,Mexico,2005,Hypertension,Bacterial,10.43,1.16,8.53,0-18,Female,559869,54.48,1.97,6.19,Surgery,42648.0,No,77.31,3735.0,8.86,44495.0,0.49,70.15 +49985,Turkey,2015,Cholera,Metabolic,13.5,7.47,4.35,61+,Male,601010,77.97,4.82,3.07,Vaccination,34818.0,Yes,81.34,157.0,4.1,32360.0,0.56,86.14 +49987,Russia,2009,Rabies,Viral,7.76,11.95,4.8,0-18,Female,230127,71.89,3.93,4.11,Medication,12453.0,Yes,78.8,3985.0,4.89,45552.0,0.73,68.95 +49990,Russia,2015,Measles,Cardiovascular,11.59,1.5,3.38,61+,Male,200690,66.05,0.82,7.35,Surgery,28047.0,Yes,79.26,2267.0,7.48,86839.0,0.63,85.38 +49991,France,2010,Asthma,Parasitic,11.65,6.6,8.59,19-35,Male,84624,86.16,1.14,1.73,Vaccination,2998.0,Yes,68.59,4020.0,9.13,7634.0,0.73,38.91 +49994,Saudi Arabia,2022,Dengue,Autoimmune,0.84,4.64,5.23,0-18,Male,426329,69.69,2.37,4.42,Medication,43226.0,Yes,57.76,3979.0,9.98,10045.0,0.87,76.72 +50003,China,2013,Cancer,Autoimmune,18.98,11.48,6.45,61+,Male,592038,61.95,4.87,2.81,Vaccination,1162.0,No,80.87,4158.0,9.15,20015.0,0.47,83.99 +50005,USA,2009,Cancer,Viral,19.41,9.61,6.04,0-18,Male,654803,75.22,3.02,5.39,Therapy,11655.0,No,60.27,1337.0,9.08,31594.0,0.63,59.54 +50006,Nigeria,2002,Measles,Genetic,11.71,2.55,1.92,61+,Other,872486,75.32,2.88,2.77,Vaccination,8290.0,Yes,95.25,3388.0,6.34,21463.0,0.89,27.55 +50009,Argentina,2004,COVID-19,Bacterial,0.53,9.83,3.99,61+,Male,711637,76.45,1.71,8.78,Medication,42073.0,No,56.95,3766.0,9.24,28134.0,0.72,20.17 +50015,Indonesia,2001,Measles,Parasitic,6.72,14.71,0.72,36-60,Other,447236,89.27,4.74,1.31,Medication,46792.0,No,93.14,4701.0,7.47,41256.0,0.64,85.96 +50045,Italy,2019,Rabies,Parasitic,5.43,4.84,4.18,61+,Other,120327,76.4,3.92,1.8,Surgery,21975.0,No,56.65,2186.0,2.12,70101.0,0.87,70.59 +50047,China,2007,Leprosy,Neurological,9.77,4.62,7.87,19-35,Female,885806,80.71,4.48,2.99,Therapy,47150.0,No,51.6,120.0,2.35,57011.0,0.69,76.71 +50048,Japan,2003,Influenza,Bacterial,5.72,5.48,0.43,0-18,Male,112421,91.46,1.72,4.04,Surgery,3384.0,No,85.24,2253.0,3.86,43509.0,0.59,62.92 +50049,Australia,2018,COVID-19,Bacterial,15.43,14.25,0.33,0-18,Other,299150,73.05,2.97,4.75,Therapy,8897.0,Yes,98.37,4336.0,0.2,10631.0,0.77,41.47 +50051,Russia,2014,Diabetes,Bacterial,16.42,13.92,0.93,36-60,Female,995600,74.79,0.63,7.79,Vaccination,32624.0,No,76.57,3219.0,7.75,77202.0,0.79,34.39 +50057,South Africa,2018,Cancer,Metabolic,10.85,8.38,9.64,19-35,Male,939204,82.13,0.63,2.48,Vaccination,7068.0,No,72.34,4273.0,8.24,56861.0,0.87,25.64 +50060,Italy,2016,Cancer,Metabolic,6.42,14.47,2.52,36-60,Female,407052,68.02,4.13,7.29,Vaccination,6878.0,Yes,95.68,4443.0,3.04,69282.0,0.57,25.98 +50062,Brazil,2007,Malaria,Infectious,2.82,3.71,7.41,36-60,Male,386980,58.09,3.93,3.05,Therapy,7016.0,Yes,64.79,4514.0,5.35,80276.0,0.66,24.15 +50072,Saudi Arabia,2010,Cancer,Respiratory,7.98,8.74,8.9,19-35,Other,69523,88.22,4.69,1.71,Vaccination,11857.0,Yes,83.34,4618.0,4.02,75506.0,0.41,33.64 +50074,Indonesia,2022,Hepatitis,Infectious,4.09,9.3,4.06,36-60,Female,874292,62.27,2.94,8.97,Therapy,48430.0,Yes,81.72,2954.0,0.07,40980.0,0.57,44.68 +50078,USA,2007,Leprosy,Genetic,7.22,14.74,6.47,0-18,Male,637347,98.95,2.69,4.77,Therapy,15884.0,No,68.89,3585.0,7.65,87445.0,0.8,37.71 +50080,Mexico,2008,Cancer,Chronic,5.64,12.02,9.36,0-18,Female,990371,50.5,2.62,5.54,Vaccination,5923.0,Yes,50.93,4924.0,3.8,81193.0,0.65,71.78 +50083,UK,2010,HIV/AIDS,Chronic,5.42,12.93,7.52,36-60,Male,294394,56.5,3.43,5.93,Therapy,21392.0,No,79.71,2061.0,6.36,43136.0,0.42,25.79 +50086,South Africa,2013,Hepatitis,Neurological,8.74,1.15,4.54,36-60,Other,442677,51.94,3.11,2.07,Surgery,7274.0,Yes,74.7,4277.0,6.54,25213.0,0.89,82.44 +50093,Italy,2000,Hepatitis,Cardiovascular,10.93,1.77,6.95,19-35,Male,271618,76.17,1.89,4.29,Vaccination,36838.0,Yes,55.62,2517.0,0.77,41349.0,0.86,44.28 +50096,UK,2002,Ebola,Infectious,13.06,0.1,5.06,19-35,Male,85420,82.26,2.78,3.27,Surgery,41935.0,Yes,73.18,1349.0,0.91,8472.0,0.43,20.41 +50098,Germany,2019,Malaria,Autoimmune,5.24,8.48,8.68,0-18,Female,556166,60.29,1.53,6.22,Surgery,13139.0,Yes,60.66,2971.0,5.93,7419.0,0.62,89.97 +50101,Germany,2013,Cancer,Respiratory,18.4,12.26,3.52,0-18,Other,58257,73.25,3.12,2.4,Vaccination,7005.0,No,62.75,318.0,1.88,37136.0,0.41,74.08 +50109,Argentina,2008,Diabetes,Cardiovascular,10.45,12.01,6.51,0-18,Female,316343,65.61,3.07,8.86,Medication,41650.0,Yes,74.89,2127.0,2.58,61992.0,0.48,51.2 +50115,France,2016,Zika,Metabolic,3.49,1.54,7.8,36-60,Male,493833,98.72,4.47,6.24,Medication,49289.0,Yes,75.99,1609.0,3.32,28012.0,0.8,79.54 +50116,Japan,2011,Dengue,Genetic,2.69,7.74,5.57,36-60,Other,231124,82.72,4.6,0.85,Therapy,34452.0,Yes,90.62,2501.0,3.14,63632.0,0.74,69.58 +50121,Germany,2023,Cholera,Viral,4.92,10.28,8.02,36-60,Female,800747,52.65,2.54,3.89,Therapy,30329.0,Yes,57.43,1758.0,6.11,33922.0,0.85,33.47 +50123,Mexico,2019,Diabetes,Autoimmune,7.34,4.99,2.3,0-18,Female,781196,58.62,4.96,1.72,Surgery,47333.0,Yes,92.73,3931.0,5.73,41703.0,0.6,71.0 +50128,China,2017,Ebola,Respiratory,14.16,5.87,2.25,19-35,Female,796745,54.46,1.05,2.38,Surgery,32368.0,No,86.6,4045.0,9.11,45614.0,0.7,38.66 +50129,Saudi Arabia,2011,Influenza,Respiratory,18.86,4.84,0.29,36-60,Male,843373,54.39,2.78,6.6,Surgery,47899.0,No,53.66,2844.0,4.83,25746.0,0.55,79.34 +50130,Saudi Arabia,2024,Influenza,Viral,14.05,0.11,5.01,61+,Male,779293,85.39,1.58,6.88,Therapy,48523.0,No,98.64,1553.0,8.05,53998.0,0.83,47.91 +50135,Germany,2004,Measles,Chronic,12.6,7.77,9.32,61+,Other,218675,56.39,1.53,6.93,Vaccination,10785.0,No,90.43,3104.0,9.46,91315.0,0.73,25.63 +50149,Russia,2007,Influenza,Autoimmune,10.32,0.81,3.31,61+,Male,600728,82.71,3.79,9.09,Therapy,44442.0,Yes,89.54,1312.0,2.43,52821.0,0.75,63.28 +50150,Nigeria,2022,Leprosy,Bacterial,3.32,10.18,3.44,19-35,Male,423920,75.57,2.73,1.62,Medication,34830.0,Yes,54.3,3780.0,5.46,94493.0,0.76,52.36 +50161,Saudi Arabia,2016,Ebola,Metabolic,1.38,2.53,7.4,0-18,Other,951859,89.82,1.4,6.48,Therapy,15596.0,No,92.47,3079.0,5.71,75066.0,0.53,49.38 +50174,China,2017,Polio,Cardiovascular,15.68,12.3,0.89,0-18,Male,491837,68.1,2.02,9.63,Surgery,16403.0,Yes,52.35,4357.0,6.01,84416.0,0.75,84.49 +50175,USA,2015,HIV/AIDS,Autoimmune,19.61,11.16,5.85,19-35,Male,228518,85.42,1.03,5.95,Vaccination,2306.0,No,90.3,901.0,2.44,94476.0,0.75,70.15 +50198,Russia,2018,Parkinson's Disease,Cardiovascular,15.07,13.28,6.1,61+,Male,353395,77.69,1.31,3.19,Medication,48229.0,Yes,87.01,2324.0,1.18,36121.0,0.59,66.31 +50200,Turkey,2024,Diabetes,Cardiovascular,17.33,7.03,1.51,61+,Male,439534,84.73,3.61,4.43,Medication,10274.0,No,84.45,1696.0,8.25,84303.0,0.79,68.87 +50212,Australia,2000,Hepatitis,Infectious,12.13,6.43,2.26,61+,Female,616866,69.22,3.0,6.9,Vaccination,819.0,No,90.5,4906.0,1.92,81397.0,0.71,49.82 +50222,Brazil,2009,Influenza,Respiratory,11.67,8.54,3.43,61+,Male,685230,87.38,0.71,6.59,Vaccination,7792.0,No,80.53,763.0,7.02,50133.0,0.65,21.58 +50226,South Korea,2003,Malaria,Chronic,18.51,9.02,3.85,36-60,Other,805612,85.17,2.7,3.18,Surgery,39258.0,Yes,87.5,4801.0,7.34,63334.0,0.68,55.04 +50227,Brazil,2000,Measles,Viral,3.26,7.45,7.64,61+,Other,171293,79.16,4.92,8.13,Medication,19312.0,Yes,92.49,100.0,6.32,79773.0,0.8,49.98 +50230,Italy,2019,HIV/AIDS,Metabolic,15.61,1.78,9.11,19-35,Female,774753,70.34,1.3,1.73,Medication,17357.0,Yes,95.72,1744.0,8.82,8798.0,0.62,76.76 +50236,South Africa,2023,Tuberculosis,Neurological,14.6,9.81,7.33,0-18,Male,550870,74.08,3.03,4.58,Therapy,29145.0,Yes,91.44,1670.0,2.23,54679.0,0.8,27.0 +50242,Nigeria,2009,Influenza,Autoimmune,17.93,7.64,9.13,36-60,Male,11304,90.41,4.43,5.7,Vaccination,39060.0,No,93.24,2.0,8.21,7807.0,0.61,69.32 +50247,Canada,2019,Cholera,Neurological,8.45,10.78,6.36,36-60,Female,384394,90.03,4.77,3.34,Medication,10482.0,Yes,56.95,2780.0,5.99,80031.0,0.66,51.73 +50249,South Africa,2001,COVID-19,Genetic,17.0,12.82,3.3,36-60,Female,635179,61.83,4.84,1.08,Vaccination,41019.0,Yes,60.08,2259.0,1.25,95871.0,0.74,60.58 +50252,Canada,2004,Parkinson's Disease,Cardiovascular,13.08,5.26,9.98,61+,Female,718218,70.32,3.45,8.86,Medication,12426.0,Yes,76.55,4048.0,7.07,51608.0,0.75,88.07 +50253,Saudi Arabia,2024,Rabies,Metabolic,12.71,4.21,6.43,0-18,Other,442334,54.19,2.01,3.88,Vaccination,7329.0,No,86.01,3993.0,9.31,4308.0,0.64,78.53 +50255,South Africa,2004,Malaria,Neurological,16.77,14.23,2.31,0-18,Other,446605,50.48,3.51,0.82,Vaccination,22803.0,Yes,59.45,2382.0,1.31,4326.0,0.69,79.46 +50259,Italy,2020,HIV/AIDS,Genetic,17.7,7.09,2.41,36-60,Female,459455,92.34,2.88,9.39,Vaccination,16401.0,Yes,90.84,3153.0,2.05,6916.0,0.49,70.01 +50260,Brazil,2004,Rabies,Viral,16.21,0.75,2.79,19-35,Male,52336,79.09,1.4,4.5,Therapy,39966.0,Yes,75.23,1955.0,8.67,5086.0,0.71,42.53 +50262,Mexico,2022,Dengue,Cardiovascular,15.9,4.85,6.43,61+,Male,32217,75.62,3.15,5.9,Surgery,24786.0,Yes,95.48,4478.0,1.06,32727.0,0.43,89.86 +50271,Australia,2022,Rabies,Neurological,19.75,6.01,9.77,0-18,Other,757376,80.46,4.26,2.71,Medication,41563.0,No,58.64,4365.0,8.13,56015.0,0.85,54.96 +50280,Nigeria,2020,HIV/AIDS,Chronic,19.27,2.27,8.79,61+,Other,504953,95.41,1.7,9.18,Medication,47479.0,Yes,86.29,4563.0,9.13,92859.0,0.62,32.43 +50283,Australia,2013,Measles,Neurological,13.54,0.76,3.45,19-35,Female,2043,81.61,1.21,6.84,Medication,9095.0,No,76.89,3080.0,5.99,87672.0,0.89,23.48 +50288,France,2000,Malaria,Infectious,3.66,2.9,6.6,19-35,Male,856545,90.68,2.39,7.39,Therapy,32824.0,Yes,74.19,1028.0,0.79,6100.0,0.65,43.99 +50297,Russia,2021,Malaria,Chronic,2.97,1.96,5.42,0-18,Other,748861,57.18,0.58,7.81,Surgery,34590.0,No,93.28,2326.0,3.29,62630.0,0.4,60.3 +50298,South Korea,2004,Measles,Viral,14.33,11.57,8.36,36-60,Other,409258,52.17,1.74,5.88,Therapy,17684.0,No,67.88,4650.0,3.32,62041.0,0.45,28.35 +50304,Russia,2023,COVID-19,Respiratory,14.78,12.59,7.29,19-35,Other,678219,93.3,1.99,3.92,Therapy,48297.0,Yes,76.64,4103.0,2.32,56041.0,0.89,71.68 +50306,Argentina,2017,HIV/AIDS,Bacterial,17.38,8.45,0.1,0-18,Female,928556,54.86,4.71,3.68,Medication,5147.0,No,92.08,3230.0,9.74,72991.0,0.67,87.25 +50309,Argentina,2019,Polio,Viral,1.31,4.24,6.93,61+,Other,365467,84.36,1.98,5.39,Vaccination,6838.0,No,68.63,1064.0,4.56,14635.0,0.83,38.92 +50312,South Korea,2006,Ebola,Autoimmune,10.78,9.14,3.37,36-60,Other,728148,92.18,0.88,9.78,Vaccination,40456.0,Yes,63.35,3812.0,2.14,35443.0,0.73,86.65 +50313,Saudi Arabia,2016,Hepatitis,Infectious,16.29,0.76,9.63,36-60,Female,928947,76.51,4.75,7.34,Therapy,16204.0,No,82.13,3767.0,2.5,21416.0,0.75,88.43 +50314,Argentina,2013,Leprosy,Infectious,15.24,5.22,7.95,61+,Other,974105,50.45,1.7,3.38,Medication,35454.0,No,84.16,1830.0,9.87,83566.0,0.44,55.07 +50329,Japan,2007,Rabies,Genetic,7.03,2.25,0.37,0-18,Male,478543,57.37,2.86,5.46,Therapy,41151.0,No,53.4,1561.0,2.87,73021.0,0.8,71.68 +50332,Australia,2006,Parkinson's Disease,Parasitic,4.11,7.44,8.93,19-35,Female,715023,78.93,3.14,1.56,Medication,27519.0,No,51.04,595.0,4.53,94230.0,0.56,52.92 +50338,Turkey,2023,Cholera,Genetic,18.82,7.83,5.31,61+,Female,935253,66.86,4.17,4.65,Vaccination,3106.0,Yes,62.75,2361.0,2.46,56159.0,0.41,70.0 +50340,Canada,2004,Parkinson's Disease,Infectious,15.22,10.35,7.38,61+,Male,920981,87.11,2.26,1.44,Surgery,16922.0,No,78.69,2117.0,7.22,3145.0,0.7,37.11 +50342,UK,2018,Dengue,Genetic,12.76,6.56,5.72,61+,Male,928453,76.8,2.58,9.61,Medication,25607.0,Yes,52.65,4278.0,5.46,78174.0,0.62,58.5 +50364,Mexico,2006,Rabies,Neurological,18.55,13.44,0.33,61+,Male,235488,94.54,3.72,0.52,Surgery,38208.0,No,56.75,3560.0,4.99,56224.0,0.57,39.37 +50371,South Korea,2008,Polio,Chronic,18.72,14.56,9.14,0-18,Other,784348,75.72,3.98,8.93,Surgery,25047.0,Yes,74.65,4653.0,7.13,98025.0,0.78,58.91 +50373,USA,2012,Asthma,Metabolic,19.16,5.4,3.95,61+,Female,844930,92.63,4.03,9.04,Medication,36864.0,No,98.61,361.0,3.4,52091.0,0.55,21.59 +50374,Argentina,2001,Cancer,Metabolic,18.17,1.9,6.0,19-35,Female,613166,59.11,3.85,8.54,Therapy,48795.0,Yes,82.13,2134.0,4.75,96364.0,0.82,52.91 +50375,USA,2015,Zika,Bacterial,2.48,12.34,3.09,36-60,Other,476627,84.76,4.55,9.78,Vaccination,18271.0,No,88.0,2658.0,4.71,87483.0,0.81,53.05 +50378,Argentina,2001,Malaria,Autoimmune,17.58,6.49,5.53,0-18,Female,129291,55.57,0.57,4.27,Medication,4355.0,No,94.44,2234.0,6.1,29168.0,0.86,51.77 +50385,France,2009,Tuberculosis,Cardiovascular,6.94,8.0,2.01,19-35,Male,3006,63.72,4.61,7.46,Vaccination,18031.0,No,52.0,3510.0,2.97,63606.0,0.56,83.03 +50386,Russia,2018,Tuberculosis,Genetic,2.71,2.83,5.63,36-60,Male,426723,87.02,2.98,7.76,Vaccination,43485.0,Yes,71.0,2989.0,7.06,90353.0,0.61,83.54 +50414,Russia,2018,Diabetes,Genetic,8.26,13.72,0.7,61+,Female,467747,52.23,2.83,4.35,Vaccination,21996.0,No,73.24,445.0,3.22,43769.0,0.52,63.92 +50420,UK,2022,Rabies,Neurological,9.31,0.67,3.39,19-35,Female,1565,69.8,4.52,3.2,Vaccination,37148.0,No,60.68,1055.0,2.09,88877.0,0.88,69.37 +50421,USA,2020,Influenza,Respiratory,14.34,7.59,6.08,0-18,Female,910974,73.64,3.77,2.23,Therapy,15173.0,Yes,89.42,1141.0,5.48,20039.0,0.52,59.75 +50424,Canada,2021,Polio,Autoimmune,12.57,8.92,4.58,0-18,Male,356438,53.54,1.58,1.05,Vaccination,37371.0,Yes,82.27,2469.0,9.69,31729.0,0.82,26.11 +50428,Nigeria,2003,Hepatitis,Parasitic,8.01,13.07,6.87,19-35,Male,453477,82.06,3.81,4.31,Medication,16039.0,Yes,79.89,1736.0,5.03,61612.0,0.64,79.44 +50434,Argentina,2018,Hepatitis,Bacterial,17.73,0.44,9.82,19-35,Female,716483,92.22,3.79,2.16,Medication,36647.0,No,76.52,3134.0,4.1,94042.0,0.88,82.23 +50436,Germany,2017,Cholera,Chronic,3.72,4.05,8.94,19-35,Female,633740,69.35,2.43,1.44,Therapy,6348.0,Yes,57.69,3873.0,6.54,51133.0,0.89,62.66 +50443,South Korea,2016,Zika,Metabolic,8.04,1.94,6.85,0-18,Male,665351,75.73,3.82,5.92,Vaccination,22917.0,Yes,97.05,1336.0,1.25,55130.0,0.5,43.38 +50450,Australia,2009,Ebola,Metabolic,0.14,9.33,0.74,61+,Other,437522,91.58,3.08,6.56,Vaccination,4016.0,Yes,97.87,1735.0,0.89,7061.0,0.73,71.82 +50458,India,2020,HIV/AIDS,Metabolic,0.29,3.42,7.56,0-18,Other,133037,67.51,3.81,9.48,Vaccination,1672.0,Yes,76.89,2730.0,7.53,37876.0,0.42,44.84 +50464,China,2003,Diabetes,Metabolic,13.83,13.16,6.63,0-18,Other,720702,66.45,2.21,3.79,Medication,27701.0,No,62.08,743.0,9.54,15602.0,0.61,22.47 +50465,France,2022,Leprosy,Infectious,11.06,10.95,9.05,36-60,Other,91699,69.94,3.72,4.9,Therapy,35181.0,Yes,52.29,616.0,2.23,30721.0,0.47,73.21 +50467,France,2002,Cancer,Infectious,3.48,9.12,0.15,36-60,Other,519439,71.36,4.78,7.65,Vaccination,38999.0,No,65.97,760.0,0.69,72943.0,0.81,50.39 +50470,UK,2022,Tuberculosis,Infectious,0.42,1.6,8.5,61+,Male,970891,67.38,4.91,8.87,Medication,44478.0,No,98.07,2344.0,2.95,79371.0,0.81,45.55 +50471,Germany,2018,Diabetes,Neurological,17.44,3.5,6.7,61+,Other,318923,59.63,2.34,5.04,Therapy,30922.0,Yes,66.16,3014.0,1.36,92559.0,0.42,73.88 +50472,France,2011,Parkinson's Disease,Parasitic,16.59,10.63,9.67,61+,Female,747053,70.07,2.35,5.85,Medication,41653.0,Yes,79.28,3029.0,5.61,19632.0,0.78,76.32 +50477,China,2013,Diabetes,Neurological,1.71,14.67,7.7,19-35,Female,486556,81.66,3.14,3.24,Surgery,6431.0,Yes,69.39,4233.0,5.63,97555.0,0.45,76.94 +50480,Australia,2013,COVID-19,Genetic,9.72,13.24,9.35,36-60,Female,682555,58.19,4.77,2.63,Surgery,3738.0,No,77.25,4129.0,5.42,95605.0,0.47,25.87 +50481,South Africa,2015,Dengue,Neurological,13.01,8.65,5.65,19-35,Male,436306,65.83,1.95,6.74,Vaccination,31499.0,No,71.75,1571.0,3.22,64593.0,0.79,47.98 +50484,India,2010,Influenza,Infectious,4.91,11.76,3.72,61+,Male,643022,61.54,1.95,7.85,Vaccination,49758.0,No,73.84,1681.0,8.87,70500.0,0.8,51.48 +50486,Australia,2008,Hepatitis,Respiratory,15.09,13.56,5.41,61+,Other,54699,96.11,4.69,9.87,Medication,25078.0,Yes,84.24,1246.0,8.04,72224.0,0.9,48.07 +50491,Canada,2003,Asthma,Parasitic,9.93,12.97,7.03,61+,Other,856043,50.08,3.82,0.76,Therapy,38623.0,No,68.6,2857.0,8.45,2379.0,0.59,48.39 +50492,Indonesia,2007,Polio,Chronic,8.38,4.31,4.87,19-35,Female,168861,94.63,0.64,4.67,Vaccination,35182.0,No,59.03,3785.0,1.07,89468.0,0.74,36.09 +50512,UK,2008,Leprosy,Infectious,5.22,3.57,5.71,61+,Male,896733,63.23,0.99,6.66,Therapy,25443.0,No,76.42,2825.0,7.73,41551.0,0.85,26.25 +50517,Turkey,2017,Zika,Metabolic,5.46,14.1,0.81,36-60,Female,289698,56.26,3.86,6.45,Surgery,30523.0,No,67.05,3698.0,5.71,21522.0,0.71,41.72 +50523,South Korea,2017,HIV/AIDS,Chronic,4.08,0.6,1.49,0-18,Other,587748,79.82,2.03,9.12,Surgery,18504.0,No,72.99,1552.0,6.58,13823.0,0.75,72.08 +50524,Indonesia,2002,COVID-19,Chronic,2.02,1.02,2.4,19-35,Female,132805,57.0,3.8,4.34,Medication,25917.0,Yes,72.72,2016.0,0.28,48411.0,0.53,29.49 +50525,France,2014,Polio,Genetic,0.82,8.29,5.33,0-18,Male,238044,74.79,4.14,8.55,Vaccination,33180.0,Yes,58.24,43.0,0.06,7433.0,0.53,76.72 +50527,Australia,2023,Measles,Viral,3.92,14.85,5.5,0-18,Female,900287,90.63,0.52,9.95,Therapy,18316.0,No,83.88,1802.0,3.23,11511.0,0.81,29.47 +50528,Russia,2016,Parkinson's Disease,Metabolic,17.97,14.6,1.72,61+,Other,14274,68.03,1.7,9.8,Surgery,10716.0,No,81.26,3435.0,2.79,47911.0,0.41,60.22 +50530,Australia,2018,Influenza,Cardiovascular,2.12,7.04,6.03,0-18,Other,747028,89.1,2.15,2.23,Therapy,43470.0,Yes,86.41,4483.0,10.0,26046.0,0.69,81.2 +50532,Russia,2011,Parkinson's Disease,Genetic,18.97,6.18,2.35,36-60,Other,445957,83.78,1.75,5.57,Therapy,16790.0,Yes,50.49,4667.0,0.32,25623.0,0.54,28.69 +50539,India,2002,HIV/AIDS,Neurological,1.0,7.92,8.53,61+,Male,645360,92.02,2.81,1.65,Surgery,40598.0,Yes,84.91,2966.0,0.82,18916.0,0.47,58.87 +50543,Italy,2020,Measles,Bacterial,14.21,10.63,4.36,19-35,Female,480832,77.63,0.58,3.07,Medication,29216.0,Yes,67.28,4532.0,9.63,35653.0,0.45,46.26 +50555,UK,2021,Measles,Parasitic,7.79,8.43,9.64,0-18,Other,22559,73.56,3.9,1.91,Therapy,27733.0,Yes,73.37,1652.0,7.0,45435.0,0.51,50.63 +50559,Saudi Arabia,2024,Polio,Autoimmune,1.96,0.53,3.16,0-18,Other,971625,52.02,3.61,5.1,Vaccination,32992.0,Yes,58.2,4780.0,3.04,88052.0,0.85,68.34 +50565,China,2001,Leprosy,Infectious,18.25,13.25,4.6,0-18,Other,512341,62.34,2.61,8.89,Surgery,13860.0,No,58.55,1898.0,2.43,6333.0,0.45,58.63 +50567,Japan,2014,Cancer,Parasitic,9.99,1.0,9.91,61+,Other,485042,94.18,1.3,9.89,Therapy,23338.0,No,92.85,1032.0,0.93,17651.0,0.41,76.97 +50569,Saudi Arabia,2015,Hypertension,Infectious,9.62,1.87,8.79,61+,Other,182390,52.51,1.34,1.14,Medication,7453.0,No,57.99,2211.0,4.38,43743.0,0.58,32.32 +50571,France,2016,Rabies,Infectious,10.48,12.46,7.9,0-18,Female,212242,65.26,1.78,3.42,Vaccination,21250.0,Yes,76.91,1155.0,3.26,44134.0,0.8,78.47 +50574,South Africa,2016,Asthma,Viral,16.37,4.56,5.73,61+,Other,286657,84.02,2.78,8.64,Surgery,13668.0,Yes,58.84,3510.0,2.53,8420.0,0.7,51.12 +50575,UK,2024,COVID-19,Genetic,4.18,13.69,2.42,19-35,Other,65715,62.46,2.92,5.7,Surgery,27039.0,No,98.19,3384.0,8.94,72556.0,0.47,24.9 +50581,India,2019,Cholera,Respiratory,7.35,5.28,6.37,61+,Female,881680,73.44,3.21,3.58,Medication,6643.0,No,54.0,1717.0,6.94,4973.0,0.74,87.55 +50582,Italy,2024,Alzheimer's Disease,Autoimmune,0.67,1.32,1.53,0-18,Female,689255,98.57,0.81,6.0,Medication,27701.0,No,93.95,2473.0,0.98,19094.0,0.88,50.96 +50584,India,2007,Alzheimer's Disease,Metabolic,15.86,4.23,3.12,0-18,Other,941413,95.88,1.02,9.38,Surgery,46362.0,No,50.35,2235.0,2.93,20882.0,0.53,45.14 +50587,Brazil,2003,HIV/AIDS,Chronic,6.15,8.31,2.17,0-18,Female,269403,87.99,3.6,9.14,Medication,42836.0,No,51.03,3518.0,7.7,92140.0,0.63,25.67 +50595,Indonesia,2008,Tuberculosis,Infectious,7.43,9.82,3.03,61+,Female,676006,91.14,1.27,2.07,Therapy,49613.0,Yes,90.35,255.0,5.86,88218.0,0.69,23.32 +50599,Germany,2024,Cancer,Viral,16.8,11.25,1.53,36-60,Female,796451,53.3,0.83,1.19,Therapy,49356.0,Yes,62.74,2177.0,4.94,65651.0,0.72,88.43 +50600,India,2002,Influenza,Metabolic,16.66,13.19,6.48,36-60,Other,920050,56.34,3.97,8.59,Medication,29522.0,Yes,74.37,64.0,7.74,77068.0,0.58,45.87 +50609,Mexico,2003,Cancer,Cardiovascular,14.23,11.32,5.28,19-35,Male,547359,69.71,3.38,5.5,Vaccination,13921.0,Yes,90.78,4490.0,4.55,60534.0,0.69,77.33 +50620,South Korea,2016,Ebola,Metabolic,2.18,6.98,4.49,36-60,Other,832684,94.19,2.93,7.33,Medication,41421.0,Yes,88.44,3881.0,3.97,33821.0,0.57,70.1 +50621,Australia,2023,Tuberculosis,Parasitic,19.7,12.05,1.31,36-60,Other,99545,63.6,4.0,5.17,Medication,24057.0,Yes,60.1,2017.0,9.25,81695.0,0.56,86.57 +50625,Nigeria,2008,Hepatitis,Metabolic,8.97,2.76,4.32,36-60,Other,859494,70.15,1.45,3.06,Therapy,21995.0,Yes,61.52,1853.0,9.68,39723.0,0.46,86.78 +50627,South Africa,2022,Measles,Genetic,14.67,8.9,0.57,36-60,Male,828273,86.74,1.27,1.31,Surgery,13105.0,Yes,62.78,4537.0,7.63,18977.0,0.63,62.5 +50634,Brazil,2009,Diabetes,Autoimmune,13.34,11.79,2.68,61+,Male,360107,75.36,2.99,2.69,Surgery,49191.0,Yes,85.02,3907.0,4.58,21253.0,0.53,46.56 +50635,Germany,2017,Hepatitis,Autoimmune,0.22,1.83,7.33,0-18,Male,231610,60.45,2.83,1.18,Surgery,28713.0,No,90.27,1843.0,6.8,90175.0,0.6,36.38 +50639,Turkey,2012,Polio,Genetic,17.6,4.86,0.59,0-18,Female,354036,95.44,2.67,6.1,Medication,25884.0,No,60.35,2338.0,2.52,72754.0,0.65,79.77 +50647,China,2012,Rabies,Respiratory,1.26,11.09,6.44,36-60,Other,459288,84.25,1.26,3.74,Therapy,3724.0,No,67.22,1285.0,8.73,85830.0,0.69,78.89 +50656,Turkey,2024,Asthma,Bacterial,4.11,3.04,6.42,36-60,Female,491082,57.52,1.54,5.79,Surgery,20693.0,Yes,63.57,2469.0,0.87,90155.0,0.57,87.8 +50665,Argentina,2011,Polio,Chronic,11.09,9.76,9.15,61+,Other,67305,80.97,3.56,4.09,Medication,44057.0,No,77.1,4118.0,1.15,87675.0,0.78,84.92 +50673,Canada,2012,Asthma,Chronic,1.16,5.02,9.64,61+,Male,889408,85.46,3.56,7.17,Medication,42513.0,No,97.02,1577.0,3.88,91794.0,0.65,32.0 +50679,Canada,2024,Tuberculosis,Parasitic,1.65,4.35,2.38,61+,Male,644333,82.66,2.07,7.68,Vaccination,37912.0,Yes,97.03,1802.0,8.87,42955.0,0.57,24.76 +50688,South Africa,2017,Parkinson's Disease,Metabolic,6.22,7.47,5.87,19-35,Other,422539,75.95,3.77,7.84,Medication,20238.0,Yes,82.66,4671.0,2.99,95443.0,0.69,38.07 +50698,South Korea,2020,Asthma,Respiratory,0.2,6.6,7.69,61+,Male,34190,53.78,1.06,7.3,Vaccination,36961.0,Yes,62.33,3419.0,0.19,56351.0,0.54,41.16 +50699,Russia,2000,Tuberculosis,Genetic,1.53,1.27,1.68,61+,Male,671670,51.48,0.62,3.53,Vaccination,6240.0,No,51.79,647.0,6.92,84971.0,0.52,86.43 +50702,Nigeria,2014,Cholera,Viral,7.4,3.93,3.68,0-18,Male,37868,90.15,4.65,6.99,Therapy,26745.0,Yes,67.41,2181.0,7.35,20039.0,0.47,81.55 +50704,Russia,2021,Cancer,Bacterial,18.09,10.78,8.6,61+,Male,833937,54.04,1.66,2.41,Surgery,30704.0,No,52.37,1109.0,8.1,36906.0,0.53,27.34 +50706,Mexico,2010,Hypertension,Respiratory,9.02,0.83,7.2,36-60,Other,897455,64.72,2.86,3.07,Medication,43527.0,Yes,50.08,4934.0,7.79,90630.0,0.66,72.16 +50709,China,2006,Cancer,Respiratory,10.29,14.09,2.96,36-60,Male,792475,87.55,4.35,3.31,Vaccination,19553.0,No,88.63,2518.0,8.24,92895.0,0.56,52.58 +50718,UK,2001,Malaria,Genetic,13.05,0.57,3.44,19-35,Other,135569,92.9,2.3,6.18,Surgery,17030.0,Yes,84.86,4793.0,8.55,7819.0,0.56,58.03 +50723,South Africa,2023,Leprosy,Infectious,16.24,3.52,1.73,61+,Female,231244,64.58,3.31,4.72,Medication,6859.0,No,63.98,2104.0,6.23,79261.0,0.53,53.52 +50724,China,2003,Influenza,Cardiovascular,6.22,6.13,5.93,19-35,Male,671012,79.89,1.69,4.26,Therapy,46155.0,No,52.12,4950.0,6.71,82016.0,0.44,89.81 +50727,China,2010,Tuberculosis,Bacterial,14.28,2.07,2.39,36-60,Other,414392,68.01,4.83,1.95,Medication,15816.0,No,53.05,3050.0,4.7,24200.0,0.76,21.46 +50731,Saudi Arabia,2007,Malaria,Neurological,16.89,5.62,6.52,19-35,Other,996195,54.09,1.25,8.6,Vaccination,25091.0,No,51.07,90.0,5.2,17996.0,0.68,62.76 +50732,Japan,2021,Influenza,Neurological,19.31,0.76,6.23,61+,Male,96028,91.01,2.96,2.76,Therapy,45178.0,No,65.95,1473.0,3.66,56450.0,0.44,67.24 +50734,UK,2022,Measles,Autoimmune,17.89,4.98,4.81,19-35,Male,248256,96.31,3.59,9.74,Surgery,17323.0,Yes,58.86,850.0,8.11,28279.0,0.47,30.34 +50735,Argentina,2019,Leprosy,Genetic,1.3,4.54,5.7,36-60,Male,781114,57.91,1.2,3.74,Medication,29650.0,Yes,60.52,10.0,2.59,65044.0,0.71,63.4 +50738,Nigeria,2022,Rabies,Chronic,5.78,5.78,3.73,0-18,Female,231401,82.04,4.88,6.39,Surgery,10815.0,No,50.95,3573.0,7.33,76668.0,0.46,81.5 +50750,Canada,2015,Dengue,Viral,6.52,11.1,6.76,36-60,Male,170625,69.52,4.4,1.6,Therapy,3970.0,Yes,54.26,2886.0,6.94,27673.0,0.84,81.28 +50755,Nigeria,2013,Influenza,Genetic,19.32,7.74,9.09,61+,Male,706477,81.86,1.11,6.75,Surgery,25888.0,Yes,64.09,194.0,7.66,21807.0,0.48,44.09 +50767,Canada,2024,Diabetes,Infectious,18.01,14.35,1.28,19-35,Male,223187,92.11,4.69,4.39,Surgery,44072.0,Yes,86.82,546.0,0.51,65348.0,0.89,66.39 +50776,Canada,2012,Hepatitis,Infectious,17.01,3.07,8.21,36-60,Other,355040,71.04,1.68,0.72,Surgery,26496.0,Yes,97.46,2591.0,8.61,22195.0,0.81,73.8 +50779,China,2005,Influenza,Infectious,18.12,12.22,1.52,19-35,Female,752675,63.87,1.8,5.67,Medication,10285.0,Yes,86.82,543.0,4.74,25276.0,0.6,55.33 +50788,Argentina,2014,COVID-19,Respiratory,10.84,3.05,6.81,0-18,Male,780399,57.14,1.07,8.66,Medication,40200.0,Yes,68.42,415.0,5.01,84434.0,0.57,45.38 +50790,Russia,2017,Hepatitis,Metabolic,10.86,12.2,7.61,0-18,Female,130065,54.95,4.71,6.24,Vaccination,25034.0,Yes,66.46,879.0,6.09,82046.0,0.48,21.67 +50791,South Korea,2006,Leprosy,Parasitic,2.1,0.11,9.93,0-18,Female,631068,86.86,4.39,9.83,Vaccination,9519.0,Yes,50.41,2236.0,2.36,70198.0,0.72,66.97 +50793,Nigeria,2003,Diabetes,Parasitic,8.82,8.02,5.64,36-60,Male,620415,98.45,2.98,7.45,Vaccination,38375.0,Yes,74.42,2823.0,5.96,23965.0,0.81,58.22 +50802,Canada,2004,Cancer,Genetic,4.09,5.6,4.39,19-35,Other,827416,77.14,1.84,6.33,Vaccination,41221.0,Yes,89.48,2512.0,9.48,67597.0,0.6,23.24 +50809,Indonesia,2014,Leprosy,Respiratory,6.39,4.47,4.09,19-35,Female,419332,74.95,4.96,8.17,Surgery,25134.0,No,78.04,2416.0,0.88,96052.0,0.48,60.32 +50812,Argentina,2024,Diabetes,Neurological,1.39,2.16,7.3,61+,Other,961303,71.31,1.51,3.95,Medication,25503.0,No,95.91,2108.0,0.72,83112.0,0.6,35.01 +50817,Germany,2024,Asthma,Parasitic,19.8,9.29,8.54,61+,Male,972695,87.78,3.17,0.98,Surgery,23833.0,No,87.56,2766.0,6.1,23352.0,0.64,70.14 +50818,Canada,2010,COVID-19,Viral,19.87,10.25,7.49,0-18,Female,380711,82.13,1.83,7.09,Medication,31992.0,No,70.78,2340.0,8.69,25542.0,0.48,71.79 +50833,Mexico,2008,Cancer,Infectious,12.67,8.22,2.51,0-18,Male,572068,73.78,4.2,4.83,Surgery,2056.0,Yes,73.62,1787.0,0.12,59413.0,0.56,37.52 +50834,Australia,2013,HIV/AIDS,Infectious,2.55,10.38,3.23,0-18,Other,153158,87.37,1.19,6.85,Medication,16937.0,Yes,57.47,2242.0,0.52,55726.0,0.79,64.21 +50851,Indonesia,2012,Measles,Cardiovascular,0.75,2.35,7.95,0-18,Female,825751,72.75,2.78,1.23,Therapy,49325.0,No,53.16,1155.0,2.19,58512.0,0.68,61.72 +50852,Argentina,2006,COVID-19,Chronic,8.85,0.22,8.15,61+,Male,423096,67.98,2.17,9.06,Medication,37686.0,No,82.36,1691.0,2.66,99373.0,0.58,26.04 +50853,USA,2023,HIV/AIDS,Parasitic,17.41,11.42,0.9,61+,Other,700523,93.32,4.57,6.27,Surgery,45111.0,No,80.61,1032.0,1.99,72263.0,0.87,83.7 +50862,Australia,2011,Diabetes,Parasitic,19.37,3.06,0.53,61+,Male,874579,52.86,3.11,9.34,Therapy,30863.0,Yes,59.36,1864.0,0.05,95132.0,0.49,42.51 +50871,UK,2018,Measles,Infectious,8.16,6.93,6.51,19-35,Female,808086,63.36,4.28,9.4,Therapy,21599.0,Yes,88.73,1310.0,4.55,85265.0,0.47,79.29 +50877,Australia,2008,Parkinson's Disease,Genetic,11.44,4.15,5.53,36-60,Female,179550,96.12,3.27,1.57,Surgery,32541.0,Yes,51.34,3522.0,8.11,95383.0,0.78,48.84 +50880,Argentina,2014,Cholera,Autoimmune,19.73,9.21,8.15,0-18,Other,659125,73.63,4.88,5.06,Medication,2122.0,No,68.51,4144.0,6.16,57458.0,0.66,53.64 +50881,Japan,2014,Cholera,Neurological,13.67,4.06,4.4,36-60,Female,247977,58.39,2.54,4.24,Medication,16178.0,Yes,63.84,1508.0,2.5,36505.0,0.89,69.88 +50882,Japan,2006,Cancer,Cardiovascular,18.06,4.13,8.38,0-18,Male,682018,79.54,4.45,3.77,Medication,756.0,Yes,66.59,3191.0,3.33,25659.0,0.53,74.85 +50884,China,2002,Zika,Parasitic,19.64,5.64,2.17,36-60,Male,308895,54.26,1.64,0.78,Surgery,14826.0,No,57.51,1541.0,7.0,46409.0,0.55,26.74 +50892,China,2004,Malaria,Autoimmune,6.57,12.22,4.0,61+,Male,449078,53.96,4.47,1.97,Surgery,44503.0,No,61.86,4619.0,8.53,86206.0,0.61,20.01 +50902,USA,2001,COVID-19,Cardiovascular,0.95,14.42,6.74,19-35,Male,471384,54.1,3.17,1.94,Medication,37504.0,No,50.72,4478.0,7.59,35411.0,0.8,53.74 +50909,India,2006,Measles,Metabolic,18.51,13.27,6.53,0-18,Female,559803,63.71,2.56,2.36,Therapy,15728.0,Yes,50.24,689.0,7.91,34468.0,0.56,72.88 +50912,Brazil,2008,Measles,Bacterial,1.71,14.53,9.48,19-35,Male,744979,87.33,2.22,1.18,Surgery,4369.0,No,98.53,4483.0,0.09,32405.0,0.43,62.09 +50920,UK,2010,Rabies,Chronic,8.64,8.47,0.41,19-35,Other,669890,79.49,2.22,0.7,Vaccination,41331.0,No,53.38,20.0,3.92,33183.0,0.52,67.47 +50921,China,2011,HIV/AIDS,Genetic,18.95,3.44,6.12,36-60,Other,193925,68.09,3.84,8.55,Therapy,21809.0,No,80.85,1401.0,8.82,27974.0,0.44,46.91 +50922,South Korea,2020,Hepatitis,Viral,8.51,9.24,7.09,36-60,Male,394238,75.23,4.72,8.87,Surgery,41725.0,No,97.54,1564.0,6.94,76343.0,0.52,63.78 +50939,Indonesia,2005,Measles,Autoimmune,5.76,8.46,0.63,36-60,Other,44292,77.59,2.68,7.22,Therapy,14156.0,No,97.53,3003.0,2.03,3894.0,0.72,88.14 +50941,Canada,2005,Parkinson's Disease,Infectious,19.18,2.73,6.4,19-35,Other,410079,53.87,3.49,5.59,Surgery,42933.0,Yes,62.61,642.0,3.84,8933.0,0.6,31.75 +50942,China,2000,Asthma,Viral,4.89,4.74,8.59,0-18,Female,654456,86.72,0.83,0.9,Surgery,19551.0,No,83.86,4433.0,6.38,92819.0,0.55,87.16 +50943,Argentina,2002,Alzheimer's Disease,Chronic,5.02,4.17,5.67,19-35,Other,118157,86.6,1.47,1.62,Therapy,37746.0,No,68.14,3369.0,0.65,97085.0,0.51,47.51 +50944,USA,2006,Malaria,Cardiovascular,7.15,5.87,3.2,0-18,Female,793361,58.08,1.91,1.76,Therapy,43702.0,No,50.51,2327.0,4.82,38305.0,0.7,51.38 +50947,Indonesia,2020,Tuberculosis,Respiratory,11.74,5.04,4.75,0-18,Other,977709,66.15,0.55,9.27,Therapy,26606.0,Yes,79.34,2487.0,0.44,97184.0,0.89,20.22 +50957,Japan,2003,Malaria,Neurological,13.03,1.51,9.37,19-35,Other,601069,88.13,2.89,0.74,Therapy,29457.0,Yes,98.27,4937.0,2.62,51136.0,0.86,31.01 +50959,USA,2013,Influenza,Bacterial,9.13,1.19,1.82,0-18,Other,322416,96.38,0.9,7.81,Medication,38512.0,No,97.91,1605.0,1.16,45573.0,0.88,39.77 +50971,South Africa,2012,Polio,Respiratory,0.32,2.88,0.71,0-18,Other,803072,74.64,0.71,1.14,Therapy,274.0,Yes,70.14,143.0,0.3,80003.0,0.89,60.52 +50973,Nigeria,2013,HIV/AIDS,Neurological,9.36,3.74,0.53,0-18,Male,878129,53.62,2.62,1.79,Vaccination,22986.0,No,53.38,4958.0,6.47,12085.0,0.82,58.14 +50984,Nigeria,2011,Dengue,Autoimmune,6.62,2.52,3.09,0-18,Other,819779,74.57,3.84,2.96,Therapy,48309.0,Yes,60.86,4079.0,9.03,20227.0,0.87,84.15 +50990,Saudi Arabia,2019,Parkinson's Disease,Respiratory,14.1,11.78,1.35,61+,Male,305071,62.31,1.85,0.59,Vaccination,179.0,No,69.45,4685.0,1.7,49068.0,0.68,35.03 +50993,Mexico,2014,Hepatitis,Genetic,8.0,1.39,2.25,0-18,Male,244843,97.92,1.04,2.87,Surgery,41851.0,No,87.99,2111.0,1.22,57290.0,0.69,69.49 +51005,South Africa,2016,Hepatitis,Chronic,11.48,2.76,5.64,61+,Male,2771,71.71,1.55,9.05,Therapy,9026.0,Yes,93.04,1814.0,5.15,63315.0,0.59,28.51 +51006,South Korea,2012,Hypertension,Chronic,11.88,10.49,7.61,0-18,Other,452971,73.07,1.11,1.38,Therapy,38574.0,No,73.14,2162.0,0.11,3331.0,0.75,33.27 +51012,France,2000,Rabies,Genetic,2.63,0.71,2.33,36-60,Female,729480,67.95,3.76,4.67,Therapy,22994.0,No,82.03,3371.0,8.85,45451.0,0.78,22.13 +51016,Japan,2023,Measles,Viral,8.18,3.83,6.85,61+,Other,505101,63.75,4.55,9.13,Therapy,49807.0,No,70.81,3303.0,1.6,25196.0,0.52,26.16 +51018,South Korea,2018,Alzheimer's Disease,Parasitic,0.37,13.58,5.28,0-18,Female,983844,61.84,4.05,7.04,Surgery,36178.0,Yes,56.49,3691.0,2.78,54280.0,0.79,66.81 +51020,Japan,2015,Leprosy,Respiratory,18.32,0.96,6.16,61+,Female,272310,61.34,3.75,7.26,Vaccination,34915.0,Yes,74.02,4720.0,0.4,28471.0,0.83,75.23 +51022,Indonesia,2023,Tuberculosis,Chronic,10.79,10.85,3.65,61+,Other,580669,77.05,3.82,4.18,Vaccination,350.0,Yes,52.95,4823.0,2.55,3667.0,0.81,61.66 +51032,Argentina,2008,Dengue,Bacterial,0.8,11.16,2.63,0-18,Other,858162,71.22,3.39,7.66,Therapy,6353.0,Yes,55.18,2757.0,5.81,76323.0,0.82,46.96 +51037,Argentina,2011,Ebola,Chronic,19.02,5.54,8.24,36-60,Male,294197,66.09,0.93,2.22,Therapy,38780.0,Yes,61.1,4623.0,3.73,4032.0,0.44,55.1 +51039,Mexico,2008,COVID-19,Autoimmune,7.86,11.02,9.21,61+,Female,425481,89.12,3.34,6.74,Therapy,19427.0,Yes,85.64,3058.0,1.86,55311.0,0.43,28.41 +51043,China,2019,Malaria,Viral,16.39,5.24,8.72,61+,Female,404842,74.79,3.61,5.62,Therapy,33074.0,Yes,53.32,2746.0,0.22,90680.0,0.78,25.96 +51050,Italy,2023,Cholera,Infectious,16.23,12.14,0.78,61+,Male,391737,87.51,1.27,5.72,Vaccination,38861.0,Yes,63.95,805.0,9.52,49212.0,0.74,84.28 +51053,Argentina,2004,Alzheimer's Disease,Infectious,10.28,1.88,1.1,36-60,Other,661485,85.55,4.8,3.99,Medication,34807.0,Yes,56.03,2720.0,1.31,98594.0,0.79,20.41 +51054,Saudi Arabia,2013,Asthma,Autoimmune,0.95,13.04,4.8,61+,Male,269411,62.28,1.57,4.51,Therapy,45400.0,No,54.62,3295.0,0.08,39668.0,0.9,29.54 +51070,Canada,2014,HIV/AIDS,Viral,14.35,5.55,8.63,19-35,Male,617619,83.53,4.26,8.01,Surgery,2596.0,Yes,70.37,3912.0,1.16,59804.0,0.62,33.44 +51071,Indonesia,2005,Polio,Viral,6.74,6.49,3.71,19-35,Female,804032,64.45,3.56,5.7,Therapy,11396.0,Yes,62.27,3647.0,6.71,5107.0,0.7,22.52 +51072,UK,2011,Cholera,Cardiovascular,8.65,13.65,8.74,0-18,Female,31188,77.85,0.95,0.59,Therapy,42638.0,Yes,73.14,996.0,2.76,99165.0,0.53,80.05 +51079,Argentina,2010,Rabies,Parasitic,8.14,5.22,9.73,0-18,Male,138984,50.29,0.92,3.8,Medication,37996.0,Yes,76.8,355.0,0.45,1494.0,0.6,49.15 +51081,USA,2020,Dengue,Infectious,0.68,9.63,2.44,19-35,Other,133757,61.56,4.8,3.89,Therapy,800.0,No,61.4,3505.0,4.52,14494.0,0.63,65.62 +51084,France,2008,Polio,Chronic,2.77,0.69,3.07,19-35,Male,754752,84.5,3.33,7.37,Therapy,2038.0,No,90.6,105.0,1.29,35178.0,0.47,53.96 +51085,UK,2007,Rabies,Bacterial,3.44,10.65,4.01,19-35,Female,493536,96.84,4.98,7.95,Vaccination,37142.0,No,63.55,1373.0,4.9,38089.0,0.76,41.35 +51095,India,2002,Zika,Autoimmune,10.23,7.34,1.16,61+,Female,429982,60.99,1.12,8.63,Surgery,39373.0,Yes,51.84,1549.0,8.58,4803.0,0.85,55.66 +51099,Argentina,2014,Dengue,Neurological,14.86,3.54,8.06,36-60,Other,786379,75.69,4.09,7.92,Vaccination,163.0,Yes,96.04,4487.0,6.94,50872.0,0.65,65.08 +51112,Germany,2003,Leprosy,Infectious,11.65,7.73,3.62,0-18,Male,924733,66.67,4.87,1.03,Therapy,45230.0,No,55.12,4577.0,2.73,92910.0,0.52,57.89 +51116,China,2007,Tuberculosis,Genetic,9.5,1.78,1.92,36-60,Female,245812,62.87,1.66,2.34,Medication,1284.0,Yes,95.41,4612.0,5.33,2886.0,0.62,27.73 +51134,Brazil,2006,HIV/AIDS,Autoimmune,0.18,7.59,5.01,61+,Female,14531,67.6,0.67,5.51,Vaccination,23161.0,No,72.02,2023.0,0.11,55168.0,0.67,88.81 +51135,Italy,2012,Asthma,Metabolic,10.64,8.23,6.06,61+,Male,838415,76.05,3.16,7.21,Vaccination,20751.0,Yes,60.25,2833.0,5.01,87711.0,0.63,45.43 +51140,Mexico,2021,Cholera,Viral,15.52,3.13,3.56,36-60,Other,835962,89.99,1.96,1.0,Surgery,32559.0,Yes,52.48,2780.0,6.21,32495.0,0.73,55.86 +51141,USA,2010,Hypertension,Chronic,9.45,0.91,9.32,19-35,Male,78075,58.74,4.28,3.69,Surgery,16100.0,Yes,50.66,3176.0,0.13,73702.0,0.63,78.49 +51157,Saudi Arabia,2020,COVID-19,Respiratory,5.16,4.58,6.54,61+,Female,720252,74.03,2.25,5.26,Therapy,12913.0,Yes,57.59,1738.0,7.84,6196.0,0.71,41.25 +51158,South Korea,2004,Cholera,Respiratory,0.68,10.23,7.69,0-18,Male,474808,64.8,0.79,7.69,Surgery,42891.0,No,62.05,45.0,3.74,47048.0,0.6,36.06 +51159,Turkey,2013,Hepatitis,Chronic,4.23,9.13,8.88,36-60,Other,635721,96.2,4.56,1.81,Surgery,5526.0,Yes,53.74,3183.0,6.03,64430.0,0.44,49.96 +51160,Nigeria,2005,Parkinson's Disease,Genetic,5.64,0.56,2.5,36-60,Other,982985,50.19,0.7,9.63,Medication,14354.0,No,75.19,757.0,2.59,6427.0,0.6,83.0 +51163,China,2019,HIV/AIDS,Respiratory,13.31,8.03,8.42,36-60,Other,68276,72.57,1.19,4.29,Medication,4724.0,Yes,64.09,4275.0,7.81,54429.0,0.85,34.75 +51164,South Africa,2015,Alzheimer's Disease,Bacterial,10.41,10.98,7.34,19-35,Female,229859,77.84,3.94,9.33,Surgery,29775.0,No,69.35,3796.0,2.54,73266.0,0.58,42.7 +51172,South Korea,2001,Ebola,Respiratory,17.76,8.16,2.2,36-60,Other,224811,75.76,0.83,2.94,Vaccination,733.0,No,87.03,4728.0,1.95,11354.0,0.48,49.59 +51185,Canada,2008,Rabies,Cardiovascular,4.64,12.56,7.87,61+,Other,746336,71.72,2.95,7.38,Vaccination,1557.0,Yes,67.33,140.0,2.04,56749.0,0.85,89.63 +51189,Indonesia,2018,Hepatitis,Autoimmune,12.79,11.7,5.89,36-60,Female,93487,72.87,2.92,1.77,Vaccination,46026.0,No,76.56,1557.0,2.51,15181.0,0.57,55.82 +51190,Brazil,2021,Diabetes,Cardiovascular,7.72,2.53,7.29,61+,Female,181427,54.59,1.28,7.57,Surgery,21806.0,No,94.81,3117.0,7.22,98816.0,0.85,47.23 +51200,Saudi Arabia,2012,COVID-19,Chronic,19.99,6.85,9.64,0-18,Other,178750,67.17,3.69,8.26,Therapy,45801.0,No,77.41,1939.0,8.05,36848.0,0.47,43.53 +51202,Brazil,2012,Leprosy,Cardiovascular,14.8,11.69,0.34,0-18,Other,901021,91.18,0.77,4.72,Surgery,42646.0,Yes,52.87,3838.0,0.27,53853.0,0.53,34.04 +51214,France,2024,Rabies,Metabolic,11.88,13.71,3.66,19-35,Male,78764,76.75,1.83,9.58,Surgery,47682.0,No,83.65,4475.0,1.31,96838.0,0.76,77.6 +51219,France,2008,Tuberculosis,Viral,2.16,5.2,7.64,0-18,Female,831147,52.08,1.75,6.07,Vaccination,5881.0,No,82.75,3856.0,4.25,96109.0,0.65,65.55 +51220,UK,2021,Influenza,Respiratory,14.74,2.49,7.32,19-35,Other,794447,75.09,0.82,7.34,Medication,32329.0,No,60.32,3981.0,8.33,93366.0,0.78,82.69 +51226,Argentina,2020,Hepatitis,Bacterial,11.31,4.93,9.42,0-18,Male,492042,92.45,0.9,6.72,Medication,28903.0,Yes,74.05,1589.0,6.5,6542.0,0.64,71.36 +51229,Brazil,2004,Ebola,Respiratory,5.05,2.66,6.57,0-18,Male,890470,56.81,2.44,7.08,Surgery,42652.0,No,50.83,3044.0,4.39,11500.0,0.47,87.44 +51230,South Korea,2006,COVID-19,Genetic,4.89,0.72,4.92,19-35,Female,284804,75.33,3.52,3.59,Vaccination,25643.0,Yes,57.88,4918.0,2.31,48673.0,0.57,78.14 +51238,Canada,2022,Asthma,Chronic,0.18,12.96,7.34,36-60,Male,321135,74.95,4.18,7.56,Vaccination,30932.0,Yes,79.55,3971.0,7.01,19704.0,0.85,72.45 +51241,China,2020,Rabies,Autoimmune,8.31,8.66,7.31,36-60,Female,199516,83.68,0.91,4.25,Medication,8930.0,Yes,68.52,3380.0,2.2,65728.0,0.9,84.62 +51247,USA,2020,Parkinson's Disease,Metabolic,11.15,11.08,3.11,36-60,Male,780287,75.25,1.41,5.39,Therapy,47339.0,No,90.42,1737.0,0.47,39285.0,0.76,28.88 +51249,France,2023,Tuberculosis,Respiratory,5.33,8.14,2.64,61+,Other,889185,70.44,1.53,4.59,Medication,16216.0,No,58.06,3587.0,4.71,80599.0,0.4,68.91 +51252,South Africa,2018,Hepatitis,Parasitic,9.89,5.95,1.03,0-18,Other,373553,80.77,2.64,8.64,Therapy,23179.0,Yes,70.55,155.0,9.86,93781.0,0.45,50.58 +51261,Indonesia,2001,Hypertension,Bacterial,4.36,12.89,4.81,36-60,Other,838601,99.05,2.08,7.68,Therapy,29243.0,No,93.64,3235.0,9.92,91723.0,0.45,78.46 +51268,Italy,2000,Hypertension,Cardiovascular,4.93,0.96,8.32,36-60,Male,828989,96.04,1.19,6.45,Vaccination,30573.0,No,64.01,617.0,6.78,15372.0,0.85,22.03 +51275,Argentina,2021,Dengue,Metabolic,4.87,6.54,2.35,0-18,Other,944546,91.02,0.93,5.51,Therapy,22516.0,Yes,82.87,2588.0,9.4,2830.0,0.53,88.53 +51279,Russia,2018,Leprosy,Viral,8.55,7.0,0.17,36-60,Other,853009,81.2,4.65,8.88,Vaccination,13578.0,No,89.72,1068.0,8.14,97460.0,0.63,45.84 +51288,Turkey,2008,Cancer,Viral,2.49,14.87,8.86,19-35,Female,65493,83.17,3.13,1.37,Surgery,32931.0,Yes,89.74,1708.0,9.46,68767.0,0.45,43.64 +51298,Saudi Arabia,2011,Alzheimer's Disease,Metabolic,17.36,11.2,1.69,0-18,Other,263770,66.16,1.6,5.94,Medication,36780.0,Yes,67.85,266.0,7.36,32939.0,0.56,37.35 +51299,UK,2017,Asthma,Chronic,10.52,13.81,1.89,61+,Female,112270,81.26,1.27,0.58,Surgery,11579.0,No,96.22,4678.0,4.24,86425.0,0.53,54.94 +51302,India,2005,Malaria,Chronic,0.77,12.92,3.99,0-18,Female,487446,76.28,1.95,1.3,Surgery,28424.0,No,61.14,4378.0,3.78,13409.0,0.79,57.95 +51305,Australia,2001,Malaria,Metabolic,18.71,4.57,3.9,0-18,Male,518004,64.75,2.97,2.74,Surgery,11658.0,No,78.84,753.0,6.34,73759.0,0.73,62.81 +51311,South Korea,2004,Influenza,Parasitic,12.99,4.92,3.24,61+,Male,631291,89.42,0.64,7.2,Medication,13107.0,Yes,70.75,2169.0,6.97,12426.0,0.83,88.18 +51320,Russia,2005,Zika,Viral,14.06,0.86,4.6,19-35,Other,661567,69.23,2.46,2.25,Surgery,33030.0,Yes,72.14,953.0,1.64,70193.0,0.5,32.0 +51326,Indonesia,2007,Parkinson's Disease,Autoimmune,15.31,14.15,7.32,36-60,Female,219914,76.52,1.94,0.53,Surgery,22491.0,Yes,61.46,4412.0,4.79,31810.0,0.81,32.37 +51328,Mexico,2013,Polio,Bacterial,17.58,12.18,9.88,61+,Male,42620,65.68,3.9,8.21,Medication,35329.0,No,69.36,1066.0,6.84,76782.0,0.43,20.62 +51329,South Africa,2010,Rabies,Autoimmune,8.05,4.51,6.79,19-35,Male,374137,75.16,4.43,5.06,Medication,49459.0,Yes,72.3,2891.0,9.65,70788.0,0.52,66.72 +51330,Saudi Arabia,2016,Zika,Metabolic,19.84,13.77,9.55,19-35,Other,18905,96.2,1.14,5.22,Surgery,30589.0,Yes,71.58,4250.0,7.92,48011.0,0.58,27.03 +51348,India,2015,Hypertension,Bacterial,2.38,14.87,1.58,19-35,Female,995040,59.55,0.85,1.94,Vaccination,49203.0,No,52.2,242.0,9.55,47980.0,0.66,24.83 +51361,Canada,2013,Malaria,Respiratory,7.82,4.18,7.21,61+,Male,522680,50.23,1.86,8.41,Medication,22133.0,Yes,54.64,2246.0,9.27,37480.0,0.48,41.4 +51363,Italy,2001,Rabies,Metabolic,18.45,7.48,1.54,0-18,Other,59175,90.79,2.33,1.92,Surgery,38866.0,Yes,50.39,4865.0,3.19,15336.0,0.42,66.62 +51365,Brazil,2014,Hepatitis,Chronic,3.37,8.98,6.79,19-35,Female,563521,86.49,2.33,6.88,Therapy,1996.0,Yes,70.25,3202.0,5.93,82478.0,0.8,50.92 +51366,UK,2020,Parkinson's Disease,Respiratory,5.73,13.6,1.29,0-18,Female,719775,91.6,2.98,2.77,Medication,21792.0,No,80.24,3733.0,8.73,27539.0,0.61,78.23 +51377,Indonesia,2012,Tuberculosis,Viral,7.87,14.48,8.29,36-60,Other,535361,65.61,2.53,9.56,Surgery,49105.0,No,89.92,4915.0,6.28,58362.0,0.65,79.64 +51390,UK,2002,Cancer,Autoimmune,13.68,2.42,9.95,36-60,Female,994707,79.73,2.27,5.42,Medication,28520.0,No,73.49,1388.0,9.93,53433.0,0.64,47.97 +51397,China,2023,Parkinson's Disease,Genetic,9.99,10.55,3.5,36-60,Female,560928,95.72,3.62,1.53,Surgery,5155.0,Yes,93.42,2435.0,2.42,23259.0,0.41,41.57 +51399,UK,2021,Asthma,Cardiovascular,3.82,8.94,6.66,19-35,Female,691737,59.98,2.18,9.13,Surgery,9546.0,No,70.72,3908.0,8.33,34943.0,0.64,50.9 +51418,Indonesia,2000,Leprosy,Bacterial,16.7,7.24,8.52,61+,Other,717686,98.39,4.93,1.15,Therapy,18624.0,Yes,73.26,4542.0,5.25,45704.0,0.76,62.87 +51419,South Africa,2023,Alzheimer's Disease,Respiratory,8.89,7.25,7.52,19-35,Other,887495,86.43,4.64,5.8,Therapy,21422.0,Yes,68.63,407.0,2.17,67436.0,0.48,39.2 +51420,South Korea,2019,Diabetes,Chronic,9.5,12.62,4.56,36-60,Female,98754,72.29,4.27,1.99,Therapy,34149.0,No,61.17,3049.0,7.02,20548.0,0.75,39.72 +51423,Japan,2018,Parkinson's Disease,Metabolic,5.56,8.59,1.23,19-35,Other,657145,76.18,4.38,0.65,Therapy,28526.0,No,94.04,1144.0,5.16,26353.0,0.82,28.1 +51429,China,2018,Asthma,Parasitic,8.35,6.28,5.13,19-35,Other,170752,74.27,4.05,2.1,Therapy,43596.0,No,52.49,3826.0,9.36,84368.0,0.89,22.71 +51433,Germany,2009,Diabetes,Respiratory,2.8,2.87,3.51,61+,Female,142459,72.37,4.96,4.64,Therapy,33867.0,Yes,93.77,3085.0,9.84,58177.0,0.57,82.69 +51436,South Korea,2015,Malaria,Respiratory,2.29,1.26,5.29,0-18,Male,436758,60.74,1.24,1.16,Therapy,49882.0,Yes,87.11,2703.0,3.01,42774.0,0.54,43.48 +51439,China,2006,Tuberculosis,Autoimmune,6.94,1.94,4.89,0-18,Other,923107,57.26,1.79,3.37,Surgery,6117.0,Yes,69.67,4118.0,0.75,99154.0,0.41,45.25 +51440,South Africa,2022,Leprosy,Parasitic,17.02,10.53,6.84,0-18,Female,862085,84.02,0.93,6.14,Medication,34801.0,Yes,82.24,4491.0,8.75,42747.0,0.49,38.53 +51441,India,2022,COVID-19,Parasitic,8.0,14.71,3.18,36-60,Female,864218,67.08,3.64,8.62,Therapy,43147.0,Yes,86.93,1293.0,2.51,33860.0,0.81,82.75 +51443,UK,2009,Leprosy,Viral,6.12,8.54,8.53,19-35,Other,484400,59.1,0.71,9.66,Therapy,20344.0,No,52.63,8.0,5.99,97891.0,0.87,49.7 +51445,Argentina,2022,Tuberculosis,Autoimmune,3.33,2.64,0.98,36-60,Male,140133,71.8,1.34,6.51,Therapy,11720.0,No,95.9,43.0,9.65,82404.0,0.55,25.95 +51446,Nigeria,2007,Zika,Chronic,8.53,1.07,4.66,61+,Male,459174,66.02,4.23,1.71,Therapy,35324.0,No,62.59,513.0,9.96,1232.0,0.74,52.53 +51447,UK,2017,Tuberculosis,Neurological,4.48,10.2,7.35,0-18,Female,764399,62.87,0.69,8.35,Medication,2537.0,No,81.79,547.0,0.15,76632.0,0.72,30.39 +51451,Turkey,2020,Measles,Chronic,8.28,3.13,4.36,19-35,Male,930832,53.18,3.94,3.04,Surgery,39737.0,Yes,55.55,1229.0,3.98,77482.0,0.49,88.71 +51453,Canada,2001,Parkinson's Disease,Chronic,7.55,14.2,8.26,61+,Female,387804,98.44,4.5,8.62,Surgery,3191.0,Yes,55.57,248.0,6.77,56711.0,0.8,35.27 +51454,France,2014,Measles,Bacterial,9.65,3.18,4.79,36-60,Female,963050,80.94,0.94,7.5,Vaccination,4323.0,No,82.46,1036.0,2.82,71022.0,0.46,30.5 +51457,Australia,2017,Hepatitis,Parasitic,17.08,12.14,6.22,0-18,Female,774411,82.49,4.07,6.03,Surgery,49772.0,No,93.98,3495.0,5.99,77785.0,0.48,66.61 +51459,Australia,2001,Cancer,Chronic,9.02,5.13,1.45,36-60,Female,655740,60.38,0.82,5.69,Medication,9193.0,Yes,56.14,3690.0,4.33,88860.0,0.7,68.27 +51462,Argentina,2004,Hypertension,Chronic,4.74,4.97,2.93,19-35,Other,583671,75.58,3.19,0.97,Medication,3052.0,Yes,90.21,2097.0,1.44,45069.0,0.63,73.68 +51468,Germany,2004,Hepatitis,Viral,1.13,3.52,0.68,61+,Female,566308,83.56,1.68,8.32,Surgery,33501.0,No,89.42,4398.0,2.81,70150.0,0.74,23.93 +51473,Canada,2020,Diabetes,Parasitic,16.77,7.72,6.39,36-60,Female,809780,62.32,2.68,9.86,Therapy,28355.0,No,84.77,1210.0,1.73,44958.0,0.54,62.47 +51480,USA,2005,Tuberculosis,Neurological,2.45,13.41,0.17,61+,Male,487472,90.36,2.34,4.75,Therapy,29307.0,No,50.14,2698.0,6.02,56162.0,0.53,60.75 +51487,Canada,2016,Zika,Chronic,6.14,6.61,7.86,61+,Other,408385,77.49,0.72,1.87,Vaccination,23960.0,No,84.51,4491.0,7.22,63984.0,0.65,34.25 +51488,China,2006,Parkinson's Disease,Cardiovascular,4.85,10.57,0.66,19-35,Female,335440,87.46,3.37,7.76,Surgery,48500.0,Yes,80.94,515.0,4.04,39188.0,0.66,22.69 +51489,UK,2012,Parkinson's Disease,Viral,12.45,6.83,5.25,61+,Female,942249,96.76,1.93,8.01,Vaccination,44854.0,No,96.47,4727.0,0.54,91728.0,0.45,72.47 +51500,Japan,2014,Influenza,Genetic,18.38,0.58,5.59,36-60,Male,614329,54.14,2.21,1.39,Surgery,47719.0,Yes,83.09,2937.0,9.25,75176.0,0.59,72.49 +51508,Germany,2018,Cholera,Neurological,12.6,11.73,5.97,19-35,Male,837361,56.32,2.04,6.15,Medication,5110.0,No,55.32,2911.0,1.8,68887.0,0.77,77.06 +51509,Indonesia,2012,COVID-19,Chronic,10.8,7.61,0.2,19-35,Other,366438,76.13,4.53,8.73,Medication,15952.0,Yes,77.12,2569.0,3.44,88592.0,0.86,35.82 +51517,Canada,2009,Zika,Bacterial,14.68,2.65,0.58,19-35,Female,747585,69.32,3.29,1.29,Vaccination,19000.0,Yes,51.27,2571.0,1.55,24263.0,0.8,76.6 +51521,South Korea,2015,Hypertension,Viral,2.36,9.37,1.55,0-18,Female,447919,76.18,1.05,2.61,Medication,17358.0,No,98.28,4176.0,3.93,62080.0,0.41,66.29 +51522,UK,2005,Dengue,Genetic,10.92,1.38,1.56,61+,Male,790232,90.27,0.64,5.4,Surgery,8713.0,No,64.69,1941.0,3.9,5115.0,0.65,66.03 +51523,France,2015,Measles,Bacterial,2.93,4.54,3.86,19-35,Male,15862,69.65,3.23,1.17,Surgery,8200.0,Yes,75.87,534.0,9.58,24198.0,0.62,53.08 +51528,Canada,2014,HIV/AIDS,Parasitic,17.67,8.25,4.94,19-35,Male,834409,87.4,0.87,3.32,Vaccination,2518.0,No,64.77,2472.0,0.27,67844.0,0.42,81.25 +51548,India,2000,Influenza,Chronic,6.26,3.69,4.6,19-35,Female,196547,71.72,1.16,3.48,Therapy,8007.0,Yes,98.03,1635.0,6.88,42188.0,0.87,35.29 +51549,Turkey,2013,Cancer,Genetic,7.15,9.58,9.05,61+,Male,444915,51.75,3.95,8.81,Vaccination,34920.0,No,52.83,350.0,1.11,86952.0,0.56,21.41 +51550,Canada,2003,Polio,Respiratory,10.62,3.84,7.89,19-35,Other,603182,98.48,4.66,8.91,Vaccination,17765.0,Yes,79.99,4296.0,4.12,32560.0,0.42,28.96 +51555,Russia,2024,Ebola,Bacterial,8.97,4.65,1.76,19-35,Female,825571,83.78,0.63,5.03,Vaccination,23453.0,Yes,60.11,3304.0,6.17,26545.0,0.7,27.42 +51556,Russia,2022,Rabies,Autoimmune,10.63,7.61,6.54,36-60,Other,319164,93.04,0.65,8.88,Therapy,44767.0,Yes,84.71,2871.0,3.66,51022.0,0.62,41.39 +51561,China,2004,Hepatitis,Metabolic,8.02,13.35,2.44,19-35,Other,944365,51.94,4.71,6.64,Medication,39718.0,Yes,82.77,2017.0,1.27,68257.0,0.53,54.28 +51563,South Africa,2012,Parkinson's Disease,Neurological,0.64,4.2,0.7,61+,Female,828075,58.5,1.7,5.23,Medication,37953.0,Yes,71.05,1261.0,7.6,7650.0,0.6,38.68 +51565,Germany,2024,Malaria,Parasitic,18.47,6.47,9.15,61+,Female,152959,83.79,4.45,9.88,Medication,9259.0,No,76.12,4008.0,3.96,86717.0,0.82,25.69 +51567,Germany,2008,Dengue,Neurological,3.71,6.09,5.45,0-18,Female,694991,68.88,3.42,7.12,Vaccination,29638.0,Yes,87.34,1829.0,1.16,61461.0,0.85,46.92 +51570,Germany,2016,Ebola,Viral,10.65,6.55,7.22,19-35,Other,997718,75.17,4.69,5.68,Medication,38750.0,Yes,96.35,144.0,4.17,43740.0,0.85,74.1 +51573,Japan,2004,Cholera,Viral,18.3,12.03,1.48,0-18,Other,577300,59.44,3.26,6.71,Surgery,31834.0,Yes,68.53,1177.0,0.43,14667.0,0.84,54.88 +51576,South Africa,2005,Diabetes,Cardiovascular,6.36,7.4,2.36,61+,Other,33771,87.98,4.34,3.3,Medication,38895.0,No,54.89,4792.0,2.32,48847.0,0.86,80.1 +51579,UK,2017,Cancer,Bacterial,10.99,0.83,1.18,0-18,Other,389223,54.17,2.06,1.93,Therapy,19817.0,Yes,50.87,4718.0,2.26,84584.0,0.54,72.3 +51586,Nigeria,2010,HIV/AIDS,Metabolic,1.82,10.68,6.4,36-60,Male,233511,61.32,3.08,5.39,Therapy,26356.0,Yes,64.9,22.0,3.77,82448.0,0.54,83.69 +51587,Canada,2023,Rabies,Cardiovascular,3.51,7.84,8.02,36-60,Male,866877,55.36,4.56,2.54,Medication,1886.0,No,66.71,1368.0,9.24,12359.0,0.73,52.27 +51603,France,2019,Dengue,Respiratory,5.72,3.98,1.01,36-60,Female,714945,79.05,4.35,1.55,Medication,29300.0,Yes,75.66,1123.0,9.3,49196.0,0.51,37.9 +51617,Mexico,2018,HIV/AIDS,Neurological,12.12,6.61,2.77,36-60,Other,274095,70.52,3.45,7.35,Surgery,28484.0,Yes,51.52,103.0,3.32,49275.0,0.68,63.95 +51618,Italy,2008,Hepatitis,Chronic,12.89,8.45,2.78,0-18,Female,441881,82.02,3.2,3.14,Medication,48350.0,Yes,88.35,4493.0,9.49,65172.0,0.69,57.76 +51625,Brazil,2020,Asthma,Autoimmune,4.48,8.71,6.07,61+,Female,994446,88.38,4.11,6.24,Medication,41883.0,Yes,79.63,76.0,3.85,83838.0,0.61,29.02 +51629,Mexico,2010,Hypertension,Genetic,16.08,11.85,6.36,36-60,Male,645315,75.47,3.38,7.77,Therapy,22489.0,No,66.84,1653.0,4.42,98431.0,0.54,50.46 +51631,France,2011,Malaria,Autoimmune,18.1,14.78,0.41,0-18,Other,550553,62.64,3.48,3.59,Surgery,22789.0,Yes,83.74,4163.0,9.51,20841.0,0.48,63.1 +51650,UK,2002,HIV/AIDS,Viral,18.67,6.28,6.81,36-60,Male,121516,96.63,3.86,6.77,Medication,40509.0,No,61.24,99.0,2.42,93249.0,0.61,64.77 +51653,Indonesia,2017,Hepatitis,Parasitic,8.28,4.9,5.87,19-35,Female,169181,78.37,4.8,1.88,Therapy,39557.0,Yes,89.66,2742.0,6.89,21608.0,0.58,53.78 +51659,Saudi Arabia,2008,Diabetes,Cardiovascular,0.74,0.51,8.82,61+,Other,593642,82.53,2.67,1.97,Medication,26085.0,Yes,65.5,3810.0,0.08,4742.0,0.6,74.62 +51662,France,2006,Hepatitis,Respiratory,16.83,4.32,5.08,36-60,Male,317023,73.59,0.62,9.41,Therapy,11764.0,No,73.07,1913.0,1.85,73887.0,0.86,61.23 +51670,South Africa,2023,Cholera,Respiratory,11.78,9.71,4.69,0-18,Other,680684,63.07,1.63,1.76,Surgery,18786.0,Yes,80.61,3873.0,1.97,37089.0,0.67,57.61 +51681,Nigeria,2007,Parkinson's Disease,Infectious,7.14,4.11,1.35,0-18,Female,982581,72.59,3.43,2.92,Medication,28631.0,No,65.31,4822.0,9.73,92397.0,0.73,21.01 +51682,Mexico,2011,Dengue,Autoimmune,6.36,5.32,5.34,36-60,Male,353661,67.92,1.72,1.22,Medication,41710.0,Yes,65.74,4827.0,8.62,82411.0,0.44,68.08 +51685,Brazil,2001,Polio,Metabolic,6.24,7.13,4.49,61+,Male,199864,58.22,1.16,6.03,Vaccination,18836.0,No,64.38,4312.0,0.02,69169.0,0.74,61.33 +51689,Germany,2008,Rabies,Cardiovascular,4.72,10.25,2.67,19-35,Female,335022,73.84,3.47,9.09,Surgery,48417.0,No,90.05,2784.0,0.06,18317.0,0.52,89.89 +51707,Japan,2007,Cancer,Bacterial,4.26,1.92,0.21,36-60,Female,482526,82.45,2.82,5.72,Vaccination,49700.0,Yes,60.74,749.0,8.3,15219.0,0.6,71.35 +51708,China,2008,Dengue,Viral,2.9,14.82,9.5,19-35,Other,6128,64.63,0.99,6.89,Therapy,27975.0,Yes,70.58,871.0,2.06,57647.0,0.46,51.52 +51710,South Africa,2010,Ebola,Chronic,15.8,9.91,7.93,61+,Other,781271,93.08,1.92,2.13,Therapy,42422.0,No,70.87,2895.0,5.28,99949.0,0.46,49.64 +51717,Brazil,2014,Hepatitis,Bacterial,12.26,3.87,0.99,19-35,Other,918042,53.39,4.91,3.51,Therapy,16086.0,No,87.94,3507.0,0.0,60278.0,0.76,70.86 +51720,Turkey,2012,Malaria,Genetic,13.6,7.58,1.68,61+,Female,440713,70.43,4.71,4.35,Therapy,19502.0,No,85.68,2342.0,1.77,84628.0,0.66,32.48 +51723,Japan,2013,Hepatitis,Neurological,19.39,13.25,6.88,19-35,Other,709724,64.84,2.72,6.49,Therapy,28211.0,No,57.32,102.0,4.48,27087.0,0.75,57.98 +51728,France,2011,Leprosy,Parasitic,7.63,3.1,8.3,36-60,Male,226006,55.81,3.81,9.07,Medication,15590.0,No,59.57,3169.0,3.18,27812.0,0.83,51.71 +51736,South Korea,2018,Zika,Genetic,8.38,11.22,5.92,19-35,Other,548666,73.14,0.83,3.21,Surgery,22427.0,No,57.6,381.0,2.9,3028.0,0.72,63.62 +51738,South Korea,2011,Cancer,Infectious,6.83,14.07,8.95,36-60,Female,117481,70.07,0.64,4.38,Medication,1466.0,No,56.01,4358.0,9.06,67743.0,0.68,39.1 +51742,Mexico,2000,Malaria,Metabolic,10.84,7.9,8.5,19-35,Other,871846,69.47,4.95,0.63,Vaccination,10177.0,No,52.73,2349.0,4.7,29811.0,0.78,42.6 +51756,Saudi Arabia,2012,Malaria,Genetic,3.31,10.5,5.53,0-18,Other,324653,50.54,3.41,9.71,Therapy,42476.0,Yes,85.51,349.0,4.57,95326.0,0.82,37.59 +51759,Mexico,2009,Malaria,Neurological,13.58,6.25,5.0,0-18,Other,261744,97.72,4.6,9.53,Medication,45892.0,Yes,65.53,3832.0,9.2,3041.0,0.72,64.02 +51779,France,2016,Polio,Infectious,5.39,7.02,7.51,19-35,Female,299466,95.25,1.32,5.3,Therapy,29301.0,Yes,64.18,3267.0,4.78,37432.0,0.77,39.63 +51785,Turkey,2005,Ebola,Viral,2.6,10.97,7.19,36-60,Male,916154,83.06,1.91,2.8,Vaccination,45946.0,Yes,54.08,4156.0,1.31,77980.0,0.52,70.6 +51788,Nigeria,2012,Asthma,Cardiovascular,7.86,10.2,6.71,19-35,Female,978555,83.72,0.56,6.75,Medication,48948.0,No,97.83,2096.0,3.29,95967.0,0.82,67.15 +51789,France,2002,COVID-19,Metabolic,2.67,7.44,4.37,19-35,Other,212934,60.72,2.8,0.91,Medication,28004.0,Yes,89.11,1009.0,1.83,13713.0,0.65,78.71 +51790,South Africa,2009,Hepatitis,Neurological,4.06,5.13,9.11,36-60,Male,555793,52.11,2.63,3.14,Surgery,25444.0,Yes,82.84,4539.0,4.22,27524.0,0.57,72.88 +51802,South Korea,2011,Dengue,Parasitic,15.83,10.57,2.81,61+,Female,41540,98.6,5.0,1.48,Therapy,6208.0,No,94.05,789.0,3.99,35646.0,0.65,70.29 +51809,USA,2023,Dengue,Viral,15.0,10.94,6.15,61+,Male,269132,88.33,0.55,4.01,Vaccination,18662.0,Yes,56.82,2175.0,1.53,98300.0,0.68,20.67 +51810,UK,2010,Diabetes,Genetic,12.33,4.05,6.16,19-35,Male,757040,85.42,4.07,5.94,Vaccination,20411.0,Yes,50.57,1535.0,0.37,93712.0,0.51,36.71 +51812,Argentina,2011,Rabies,Parasitic,7.35,10.11,7.67,0-18,Female,531581,52.26,0.57,6.28,Therapy,31100.0,Yes,92.18,3336.0,5.24,29269.0,0.67,76.96 +51814,Indonesia,2009,COVID-19,Genetic,6.95,0.56,7.89,0-18,Other,732335,67.46,2.2,1.66,Therapy,6899.0,Yes,87.83,1912.0,1.82,65722.0,0.57,43.41 +51823,France,2018,Alzheimer's Disease,Cardiovascular,12.3,2.95,9.59,36-60,Male,637793,58.13,3.41,3.1,Therapy,5540.0,No,65.53,2624.0,7.05,5241.0,0.53,38.85 +51829,Mexico,2014,Alzheimer's Disease,Viral,2.12,11.15,7.44,36-60,Female,550323,63.73,4.73,5.06,Surgery,13921.0,Yes,66.93,3605.0,6.53,16291.0,0.48,44.96 +51830,Japan,2013,Influenza,Infectious,19.21,3.62,6.16,19-35,Other,579535,84.5,4.48,7.54,Vaccination,32196.0,Yes,82.7,4152.0,0.77,56202.0,0.64,66.85 +51831,Australia,2009,Dengue,Infectious,8.54,8.76,1.4,61+,Other,626814,72.25,2.75,4.65,Vaccination,24109.0,No,87.66,3242.0,4.32,72975.0,0.77,54.32 +51835,Argentina,2018,Dengue,Viral,17.2,12.76,1.88,61+,Other,33849,78.14,2.57,1.94,Surgery,6371.0,Yes,63.92,4088.0,2.28,38659.0,0.61,80.86 +51840,Argentina,2011,Tuberculosis,Bacterial,17.78,12.59,0.77,0-18,Other,196178,61.85,3.22,1.13,Medication,35903.0,Yes,60.06,1103.0,1.62,99139.0,0.64,54.58 +51846,Canada,2000,Dengue,Autoimmune,5.42,14.53,6.37,0-18,Female,774957,80.28,1.39,2.17,Therapy,911.0,Yes,87.44,3322.0,3.95,77007.0,0.76,56.84 +51852,Russia,2009,HIV/AIDS,Bacterial,5.87,14.91,4.64,36-60,Male,7718,59.68,0.88,2.27,Surgery,27364.0,Yes,84.59,1647.0,3.86,19326.0,0.74,64.25 +51856,USA,2014,Hepatitis,Respiratory,10.84,0.98,2.41,0-18,Female,89565,50.54,1.77,7.93,Surgery,40762.0,Yes,59.79,2237.0,5.53,46192.0,0.43,23.22 +51861,France,2003,Zika,Chronic,1.56,4.86,6.02,36-60,Male,693543,92.02,1.91,9.3,Vaccination,11243.0,Yes,66.55,3863.0,4.18,77672.0,0.86,39.84 +51862,Canada,2000,HIV/AIDS,Chronic,17.49,13.02,0.41,0-18,Female,997838,83.48,1.58,4.88,Surgery,20524.0,No,94.81,1239.0,1.57,6841.0,0.57,35.1 +51864,Indonesia,2014,Rabies,Respiratory,18.32,14.69,0.74,0-18,Male,347506,53.11,2.07,7.65,Medication,17233.0,Yes,79.29,2513.0,7.86,72051.0,0.46,85.05 +51866,India,2000,Zika,Metabolic,8.41,10.48,9.21,19-35,Female,462814,69.58,1.98,1.88,Medication,38487.0,Yes,86.51,1273.0,4.53,13887.0,0.81,65.56 +51869,Mexico,2012,Ebola,Bacterial,10.29,7.26,2.16,36-60,Female,706125,70.48,2.03,5.12,Surgery,41851.0,Yes,81.33,2480.0,6.43,68265.0,0.71,56.43 +51872,India,2005,Polio,Bacterial,11.25,6.37,0.16,19-35,Male,21284,89.51,3.2,0.84,Therapy,49908.0,Yes,83.77,4772.0,3.47,88778.0,0.76,39.46 +51876,Turkey,2024,HIV/AIDS,Metabolic,4.69,12.29,5.82,61+,Female,783551,63.73,4.68,5.57,Therapy,8415.0,No,58.79,4389.0,5.2,64327.0,0.56,34.93 +51877,Saudi Arabia,2003,Asthma,Viral,19.9,5.46,6.86,36-60,Male,107814,84.32,3.97,2.54,Therapy,30161.0,No,69.19,3261.0,3.94,2912.0,0.82,73.56 +51882,Russia,2018,Measles,Bacterial,6.33,13.51,9.22,61+,Female,487651,82.88,4.11,6.28,Therapy,14242.0,No,61.74,2130.0,7.4,52862.0,0.63,45.84 +51885,China,2016,Asthma,Metabolic,10.76,3.1,4.35,0-18,Other,582828,87.88,1.29,6.61,Vaccination,36614.0,No,95.3,4690.0,4.64,55486.0,0.46,24.08 +51886,UK,2007,Hepatitis,Chronic,5.86,13.25,9.42,0-18,Male,860761,56.62,4.12,8.85,Vaccination,9526.0,No,75.31,1792.0,9.46,6087.0,0.44,52.42 +51888,UK,2024,COVID-19,Infectious,17.62,14.11,7.38,19-35,Female,374899,69.55,1.11,4.39,Vaccination,32975.0,No,90.73,3981.0,0.63,19157.0,0.6,51.14 +51898,Italy,2020,Leprosy,Autoimmune,13.48,13.7,2.64,36-60,Female,34638,59.96,1.69,4.19,Vaccination,35490.0,No,59.76,4452.0,9.58,27976.0,0.56,45.77 +51909,Argentina,2010,Parkinson's Disease,Bacterial,9.28,3.49,2.85,19-35,Male,268486,52.19,0.68,2.99,Vaccination,36726.0,No,67.51,3581.0,0.11,39869.0,0.49,62.79 +51910,China,2012,Measles,Bacterial,8.58,3.37,7.37,0-18,Male,268574,76.48,4.1,3.05,Medication,43734.0,Yes,61.64,1488.0,4.52,99185.0,0.65,36.76 +51914,Germany,2022,Hypertension,Autoimmune,16.04,5.59,5.75,0-18,Female,931062,86.34,1.05,4.86,Vaccination,21417.0,Yes,85.28,4146.0,8.01,66250.0,0.87,46.45 +51931,Canada,2021,Influenza,Bacterial,13.85,14.23,8.43,19-35,Other,749461,70.49,3.26,9.91,Therapy,49369.0,Yes,94.36,3562.0,7.37,53772.0,0.45,37.5 +51952,France,2012,Influenza,Neurological,1.0,4.03,2.94,61+,Male,755061,54.66,4.76,5.84,Medication,47983.0,Yes,75.21,1619.0,0.54,37684.0,0.5,74.35 +51959,Indonesia,2014,HIV/AIDS,Metabolic,6.64,11.43,5.26,19-35,Other,634245,99.06,2.3,2.17,Vaccination,21193.0,Yes,94.05,1191.0,6.93,71494.0,0.65,50.11 +51960,UK,2009,Alzheimer's Disease,Viral,2.85,3.37,8.26,61+,Other,349971,94.55,3.06,4.11,Medication,3319.0,Yes,51.26,3792.0,2.17,69188.0,0.56,58.52 +51964,South Korea,2019,Tuberculosis,Viral,19.61,12.98,2.3,36-60,Female,679778,76.48,2.96,8.82,Vaccination,20646.0,Yes,70.39,2030.0,9.58,21258.0,0.44,26.9 +51970,South Korea,2024,HIV/AIDS,Infectious,10.11,1.87,7.7,19-35,Female,200620,85.79,3.01,3.44,Surgery,39049.0,No,51.96,1176.0,4.94,30676.0,0.48,67.75 +51972,Indonesia,2006,Malaria,Parasitic,11.66,14.62,3.78,0-18,Male,723084,85.04,1.56,3.26,Vaccination,12019.0,Yes,70.64,3005.0,4.85,25542.0,0.89,58.91 +51973,South Africa,2008,Leprosy,Neurological,0.24,13.33,0.79,61+,Male,51703,91.29,3.14,7.14,Medication,37361.0,Yes,85.73,3940.0,4.94,52705.0,0.53,44.64 +51980,Italy,2014,Diabetes,Autoimmune,3.26,10.04,7.86,36-60,Female,467422,74.31,3.68,8.34,Surgery,25804.0,No,64.69,106.0,0.99,85929.0,0.81,32.65 +51982,Japan,2020,Rabies,Chronic,14.5,8.14,5.28,36-60,Female,216971,61.79,2.7,8.07,Therapy,9566.0,No,80.13,681.0,4.91,12075.0,0.86,44.3 +51984,Australia,2010,Diabetes,Genetic,11.71,10.14,8.75,61+,Other,335279,72.29,2.52,4.82,Medication,19601.0,Yes,82.85,1859.0,3.79,73425.0,0.73,33.2 +51988,Japan,2013,Dengue,Parasitic,12.98,8.68,3.08,0-18,Female,527175,90.94,4.17,5.92,Medication,14744.0,Yes,60.64,2500.0,3.92,48453.0,0.74,71.13 +51989,Russia,2020,Influenza,Chronic,16.98,2.65,6.02,0-18,Male,557172,79.09,2.35,4.13,Vaccination,602.0,Yes,72.43,1580.0,9.75,76201.0,0.67,58.9 +51997,Japan,2019,Measles,Respiratory,15.8,10.92,9.52,36-60,Male,476264,95.83,0.7,1.18,Medication,31776.0,No,69.19,3281.0,4.52,66135.0,0.49,85.81 +52001,Turkey,2003,Ebola,Bacterial,9.43,8.03,4.18,36-60,Female,471051,69.72,3.85,3.64,Medication,26155.0,Yes,83.31,2491.0,5.31,64240.0,0.69,40.93 +52006,Saudi Arabia,2012,COVID-19,Neurological,2.46,8.71,0.98,19-35,Male,712400,57.5,2.3,8.69,Surgery,23018.0,Yes,50.36,983.0,8.7,6091.0,0.61,43.32 +52008,Brazil,2014,Polio,Chronic,8.31,8.5,1.95,36-60,Female,377152,90.11,2.16,4.23,Medication,44889.0,No,85.74,3790.0,1.32,1512.0,0.42,25.99 +52009,Germany,2011,Measles,Bacterial,13.15,4.57,6.87,19-35,Female,615047,59.78,0.58,8.16,Vaccination,18346.0,Yes,75.55,872.0,9.3,78273.0,0.71,46.03 +52011,Mexico,2021,HIV/AIDS,Respiratory,16.23,13.2,6.05,61+,Male,425929,86.3,4.95,4.13,Surgery,49480.0,No,64.84,1374.0,1.81,1861.0,0.88,27.5 +52012,China,2013,Measles,Metabolic,19.18,0.17,1.64,36-60,Female,655064,83.23,4.87,4.27,Therapy,6338.0,No,69.71,3259.0,4.99,61417.0,0.45,45.77 +52014,China,2009,Leprosy,Bacterial,7.55,4.55,8.32,36-60,Male,396590,71.59,0.53,7.54,Vaccination,11284.0,Yes,83.96,1649.0,7.69,54257.0,0.74,27.25 +52018,Indonesia,2012,Ebola,Infectious,17.98,9.51,7.0,19-35,Male,539725,81.07,4.52,2.82,Medication,40637.0,No,97.32,3194.0,0.13,99420.0,0.57,84.38 +52019,Saudi Arabia,2019,Parkinson's Disease,Autoimmune,6.75,9.69,9.88,19-35,Male,622524,55.65,3.58,8.39,Therapy,39518.0,Yes,94.55,2163.0,4.32,9469.0,0.83,54.42 +52024,Nigeria,2009,Measles,Viral,8.74,3.3,5.83,19-35,Other,700079,82.49,3.51,8.78,Vaccination,28244.0,No,58.94,4027.0,3.96,74442.0,0.8,32.18 +52025,Russia,2020,Influenza,Chronic,17.91,2.43,2.98,36-60,Other,775377,70.13,0.98,4.22,Therapy,40654.0,Yes,57.55,1057.0,1.04,5047.0,0.48,87.63 +52026,Turkey,2007,Malaria,Viral,17.58,11.77,4.95,36-60,Other,48383,62.85,4.87,2.51,Vaccination,42356.0,Yes,57.59,4070.0,7.75,81303.0,0.44,44.03 +52036,Turkey,2008,Zika,Respiratory,11.35,8.99,2.46,19-35,Female,825961,61.36,1.83,8.76,Therapy,41264.0,No,78.73,3593.0,0.86,32622.0,0.67,76.32 +52040,Germany,2017,Diabetes,Infectious,7.64,1.83,4.39,61+,Male,535162,77.98,1.46,7.35,Medication,2812.0,Yes,62.82,451.0,6.37,42208.0,0.79,41.51 +52049,Russia,2005,Asthma,Bacterial,9.33,10.96,0.21,0-18,Female,201786,81.64,4.17,1.01,Surgery,38516.0,No,90.91,4310.0,2.62,81708.0,0.77,47.13 +52051,Russia,2023,Measles,Viral,19.53,8.37,8.87,19-35,Male,281039,71.04,4.72,2.59,Surgery,13849.0,Yes,84.02,56.0,8.54,95457.0,0.62,31.62 +52072,South Korea,2007,Hepatitis,Bacterial,3.03,14.57,7.84,36-60,Other,23899,84.95,2.71,9.82,Therapy,12441.0,Yes,56.37,1520.0,8.97,99693.0,0.67,81.35 +52077,South Africa,2019,Hypertension,Cardiovascular,3.31,10.11,5.14,36-60,Male,384591,71.58,1.36,9.81,Vaccination,1710.0,No,95.9,2615.0,6.03,54824.0,0.73,22.29 +52084,South Korea,2009,Ebola,Cardiovascular,2.27,11.12,1.02,19-35,Male,851633,56.07,0.63,5.38,Vaccination,7359.0,Yes,73.38,4040.0,9.43,66056.0,0.6,76.96 +52088,Italy,2022,Influenza,Parasitic,3.87,3.77,6.51,36-60,Male,169561,59.98,0.82,5.03,Therapy,8693.0,No,68.36,22.0,5.8,67889.0,0.82,89.62 +52091,China,2023,Asthma,Autoimmune,14.37,1.05,5.53,19-35,Female,744638,55.22,4.42,4.19,Medication,49856.0,Yes,60.11,4003.0,4.41,70218.0,0.85,24.7 +52096,Italy,2021,Tuberculosis,Viral,5.92,6.66,0.43,19-35,Male,451886,94.92,2.67,4.54,Vaccination,30897.0,No,74.03,4907.0,0.56,49830.0,0.46,30.0 +52110,China,2010,Rabies,Metabolic,19.45,8.97,6.56,0-18,Female,182584,61.34,1.62,3.15,Therapy,34299.0,No,96.88,4508.0,2.49,34018.0,0.74,27.38 +52123,Saudi Arabia,2008,HIV/AIDS,Neurological,6.14,0.54,3.46,36-60,Female,927221,52.77,1.44,2.09,Vaccination,32841.0,No,66.91,4213.0,6.83,87126.0,0.77,87.14 +52124,Brazil,2007,COVID-19,Respiratory,6.45,9.3,7.94,19-35,Female,788743,87.12,2.14,8.36,Vaccination,8034.0,No,72.52,1813.0,6.64,76997.0,0.65,67.83 +52126,Australia,2015,Alzheimer's Disease,Infectious,6.01,13.61,5.91,19-35,Other,968618,86.98,2.07,2.37,Surgery,38357.0,No,69.53,4023.0,7.45,76873.0,0.82,22.64 +52131,Argentina,2022,Cholera,Chronic,5.82,8.78,9.3,0-18,Other,570401,74.3,1.86,0.73,Surgery,46018.0,Yes,89.46,3473.0,7.85,6421.0,0.85,63.62 +52138,South Korea,2019,Influenza,Parasitic,2.48,5.91,1.86,61+,Other,955128,99.59,4.14,2.65,Surgery,37903.0,No,85.42,1004.0,6.53,40266.0,0.69,39.09 +52139,Nigeria,2021,Alzheimer's Disease,Bacterial,19.92,2.94,2.65,0-18,Male,550758,74.84,2.77,7.09,Surgery,24586.0,Yes,54.52,2884.0,7.0,93341.0,0.41,79.16 +52142,Russia,2001,HIV/AIDS,Bacterial,18.43,2.77,6.08,61+,Female,345967,54.73,4.01,8.27,Surgery,21758.0,No,98.45,3306.0,4.51,25596.0,0.84,27.58 +52145,Canada,2012,Zika,Neurological,8.29,14.42,6.2,61+,Male,723746,69.26,2.73,7.32,Medication,40415.0,No,86.61,3291.0,9.32,11751.0,0.81,45.29 +52149,Australia,2022,Malaria,Respiratory,16.08,1.14,7.99,19-35,Other,146614,82.34,1.98,4.14,Medication,761.0,Yes,70.14,3591.0,4.69,77912.0,0.72,54.51 +52150,Nigeria,2015,Cancer,Genetic,7.2,13.97,9.55,36-60,Other,268172,86.54,1.39,5.41,Therapy,23646.0,No,72.99,4408.0,4.31,31548.0,0.63,24.09 +52160,Canada,2012,Ebola,Bacterial,7.74,11.21,6.32,61+,Male,624204,68.89,4.18,1.44,Therapy,30161.0,No,71.43,187.0,7.14,61844.0,0.54,43.98 +52163,Nigeria,2018,Parkinson's Disease,Chronic,5.17,0.22,6.29,36-60,Female,711967,52.57,3.14,7.45,Vaccination,19390.0,No,57.59,2643.0,7.28,91229.0,0.89,57.98 +52167,France,2023,Tuberculosis,Infectious,8.08,14.53,9.79,19-35,Male,850111,68.4,1.32,5.02,Vaccination,3438.0,Yes,95.57,2966.0,4.53,16321.0,0.46,67.03 +52177,Japan,2007,Hypertension,Infectious,9.21,1.76,3.05,61+,Female,327766,50.06,2.22,7.39,Vaccination,24809.0,No,64.67,851.0,1.9,23866.0,0.47,48.75 +52193,Australia,2001,Rabies,Neurological,17.85,6.16,1.39,19-35,Other,321398,51.92,2.98,3.5,Vaccination,7432.0,Yes,92.27,91.0,4.46,49330.0,0.83,73.11 +52196,Germany,2020,Asthma,Neurological,14.7,2.16,6.98,0-18,Male,744708,68.7,2.43,7.73,Medication,34177.0,No,71.06,2016.0,4.93,91307.0,0.65,80.15 +52198,France,2008,Zika,Cardiovascular,8.99,0.61,4.63,36-60,Male,134065,59.83,3.19,4.64,Therapy,35122.0,Yes,75.53,2783.0,1.09,56816.0,0.54,63.29 +52203,France,2003,Polio,Parasitic,16.87,10.52,8.77,36-60,Female,83236,84.53,4.1,5.02,Vaccination,11189.0,No,82.15,983.0,3.57,17094.0,0.78,42.4 +52206,Russia,2023,Leprosy,Viral,15.74,0.71,1.72,0-18,Male,979310,94.14,2.52,7.53,Medication,26737.0,No,96.12,1607.0,1.72,730.0,0.87,24.68 +52210,Italy,2013,Dengue,Neurological,3.98,6.2,7.27,61+,Other,898442,97.18,1.34,8.47,Therapy,44031.0,Yes,88.95,2981.0,1.31,50913.0,0.5,81.14 +52216,Russia,2016,Diabetes,Cardiovascular,10.87,11.28,0.34,0-18,Male,243217,60.92,1.51,5.25,Medication,33635.0,Yes,85.34,991.0,3.67,50359.0,0.47,34.12 +52221,Nigeria,2023,Ebola,Respiratory,14.24,3.14,8.9,36-60,Male,814681,75.06,3.08,9.3,Vaccination,38307.0,No,74.29,2498.0,5.48,27183.0,0.69,52.71 +52222,Germany,2011,Hepatitis,Respiratory,7.59,9.63,2.99,19-35,Female,598485,62.76,4.12,8.77,Therapy,49646.0,Yes,73.92,3975.0,1.57,52002.0,0.88,88.03 +52234,Australia,2007,Diabetes,Autoimmune,12.28,8.45,2.78,61+,Male,277848,96.17,3.5,0.57,Medication,4387.0,Yes,73.25,2361.0,8.11,34486.0,0.55,28.85 +52238,Mexico,2018,Tuberculosis,Viral,12.11,14.05,5.97,0-18,Other,931526,98.45,2.99,9.56,Medication,40664.0,No,88.69,3933.0,9.0,55598.0,0.51,44.83 +52253,Nigeria,2008,Cancer,Chronic,19.33,0.58,0.46,61+,Male,23070,60.21,2.64,5.22,Vaccination,30063.0,No,89.96,794.0,1.88,86607.0,0.78,76.85 +52259,Argentina,2016,Cancer,Respiratory,13.49,6.88,8.83,36-60,Male,860165,84.68,1.35,1.93,Medication,8872.0,Yes,74.84,4186.0,3.5,59449.0,0.67,37.85 +52262,South Africa,2014,Dengue,Parasitic,0.16,2.51,5.31,36-60,Other,719318,78.56,4.91,7.23,Vaccination,35214.0,Yes,74.85,1455.0,3.75,43477.0,0.74,76.3 +52266,Indonesia,2006,COVID-19,Chronic,19.24,7.54,6.44,19-35,Other,92339,69.08,0.72,5.38,Therapy,2300.0,Yes,84.87,2667.0,6.74,56167.0,0.42,46.24 +52268,South Africa,2019,Asthma,Infectious,10.48,12.14,9.36,61+,Male,307473,82.54,3.15,3.52,Therapy,31874.0,No,65.68,3047.0,7.8,4974.0,0.62,74.37 +52271,Turkey,2002,Parkinson's Disease,Neurological,12.26,0.74,4.27,36-60,Female,786896,98.05,1.33,8.17,Vaccination,24371.0,No,65.31,455.0,7.93,72218.0,0.88,62.75 +52272,India,2012,HIV/AIDS,Metabolic,13.59,10.45,0.6,36-60,Other,232671,72.66,1.91,4.7,Surgery,41789.0,No,96.68,1200.0,9.17,29585.0,0.71,77.91 +52274,Japan,2006,Polio,Chronic,15.4,14.59,8.57,61+,Male,720748,82.89,4.6,0.83,Vaccination,31993.0,No,78.75,1834.0,2.53,31164.0,0.85,27.02 +52306,Russia,2022,COVID-19,Autoimmune,12.49,12.38,5.04,0-18,Female,458720,96.04,4.78,1.38,Vaccination,18386.0,No,69.99,3450.0,3.51,21696.0,0.69,45.76 +52314,India,2014,Hepatitis,Respiratory,12.4,4.54,8.81,0-18,Female,637245,64.67,1.23,7.33,Vaccination,13589.0,No,83.99,4628.0,5.5,91884.0,0.43,38.41 +52337,Brazil,2009,Leprosy,Metabolic,4.74,1.2,4.56,0-18,Male,703173,58.97,4.56,9.81,Therapy,32439.0,No,83.52,1380.0,1.45,75677.0,0.47,52.64 +52338,Turkey,2008,Zika,Infectious,8.66,9.89,5.94,36-60,Female,149689,79.46,4.34,2.02,Surgery,22511.0,Yes,94.92,2206.0,7.65,27922.0,0.49,49.34 +52345,Brazil,2004,Zika,Viral,7.3,12.46,8.02,19-35,Female,829393,68.45,1.65,6.97,Vaccination,41147.0,No,88.85,3536.0,1.13,71735.0,0.75,88.01 +52364,Italy,2022,Cancer,Chronic,14.87,7.12,2.79,19-35,Female,537774,91.11,4.67,9.11,Vaccination,25324.0,Yes,90.32,2969.0,5.43,16999.0,0.51,33.41 +52372,Saudi Arabia,2021,Cholera,Bacterial,7.86,2.3,2.06,61+,Male,337434,77.72,2.07,7.91,Vaccination,29886.0,No,83.74,4859.0,0.88,70251.0,0.69,66.96 +52376,Russia,2001,Influenza,Genetic,12.56,3.77,1.29,0-18,Other,640966,59.49,1.53,9.64,Vaccination,46657.0,Yes,96.47,55.0,6.45,93439.0,0.66,43.79 +52378,Italy,2023,Parkinson's Disease,Parasitic,11.64,2.14,2.56,61+,Female,901023,85.64,1.62,1.56,Surgery,32625.0,No,59.24,1877.0,0.98,86308.0,0.41,60.24 +52383,France,2000,Cancer,Bacterial,11.85,0.98,8.3,61+,Other,957617,78.17,1.04,3.71,Therapy,42638.0,Yes,78.43,3701.0,2.88,8735.0,0.59,44.75 +52389,Canada,2000,Alzheimer's Disease,Autoimmune,6.4,4.24,1.76,61+,Female,481605,60.27,3.1,8.62,Medication,38628.0,Yes,64.19,3706.0,9.57,53941.0,0.84,85.6 +52396,Germany,2019,Leprosy,Neurological,5.22,12.68,7.0,0-18,Female,722703,69.66,4.18,4.8,Vaccination,8374.0,Yes,87.28,4064.0,8.26,84211.0,0.81,35.34 +52406,Canada,2002,Leprosy,Bacterial,7.18,11.57,1.86,0-18,Female,873887,54.77,2.83,4.08,Therapy,39557.0,Yes,80.18,3405.0,0.32,22412.0,0.72,34.7 +52407,China,2007,Measles,Viral,19.68,7.33,1.33,19-35,Male,755099,69.8,0.68,9.17,Medication,27323.0,No,70.61,611.0,2.5,65849.0,0.44,40.05 +52410,Saudi Arabia,2020,Alzheimer's Disease,Respiratory,16.13,12.46,7.35,0-18,Other,247134,89.09,0.52,4.65,Medication,35885.0,Yes,57.27,1266.0,0.84,43963.0,0.9,61.89 +52414,Japan,2021,Zika,Chronic,5.32,7.46,9.35,19-35,Male,196358,84.82,4.37,2.24,Surgery,44812.0,No,96.88,3816.0,1.35,7274.0,0.5,86.48 +52416,China,2011,Hypertension,Neurological,0.83,12.3,5.23,0-18,Female,649317,67.13,1.34,8.89,Vaccination,4418.0,Yes,54.12,3092.0,9.16,69157.0,0.42,50.05 +52417,Germany,2007,Asthma,Bacterial,13.73,6.16,7.7,36-60,Female,679363,74.02,3.94,6.79,Therapy,8560.0,No,87.54,2374.0,4.02,99833.0,0.5,42.28 +52419,France,2015,Polio,Parasitic,10.76,6.59,7.27,19-35,Male,34478,57.11,1.75,6.84,Vaccination,47546.0,Yes,64.87,713.0,0.35,32633.0,0.64,32.53 +52426,Italy,2001,Influenza,Genetic,11.25,11.42,1.16,0-18,Other,945957,53.93,1.78,5.42,Surgery,20853.0,No,79.33,4239.0,7.45,56575.0,0.61,74.91 +52427,Saudi Arabia,2021,Leprosy,Parasitic,4.39,6.83,8.25,36-60,Male,777916,91.19,3.84,6.79,Surgery,37929.0,Yes,62.0,984.0,0.23,98151.0,0.74,74.74 +52428,Indonesia,2022,Measles,Cardiovascular,6.97,0.17,2.73,19-35,Female,944612,99.19,4.53,9.4,Therapy,35254.0,Yes,56.84,882.0,7.95,39851.0,0.69,47.71 +52433,Italy,2007,Hepatitis,Autoimmune,11.87,9.26,8.55,19-35,Other,673692,51.11,3.79,2.33,Therapy,47953.0,Yes,80.83,1399.0,7.27,18798.0,0.87,43.74 +52443,South Korea,2000,Asthma,Viral,15.53,8.41,5.8,61+,Female,705473,73.53,4.52,5.99,Surgery,3982.0,No,54.67,4753.0,6.95,61424.0,0.44,42.86 +52448,Germany,2021,HIV/AIDS,Viral,8.22,1.38,0.99,36-60,Other,347970,86.91,3.58,8.9,Surgery,35649.0,Yes,73.18,2893.0,3.63,89039.0,0.76,68.39 +52453,Mexico,2013,Influenza,Bacterial,5.84,7.03,8.42,19-35,Male,709831,76.83,1.78,1.76,Surgery,9230.0,No,65.58,862.0,3.98,74161.0,0.78,51.48 +52468,South Africa,2022,Dengue,Bacterial,2.99,5.8,0.24,19-35,Other,694839,75.37,3.01,8.15,Medication,10146.0,No,50.06,3616.0,9.2,83990.0,0.8,52.0 +52490,Australia,2000,Parkinson's Disease,Parasitic,9.4,8.97,6.82,36-60,Male,957774,73.13,1.53,1.45,Medication,35250.0,Yes,53.98,3495.0,1.28,89069.0,0.43,62.85 +52492,Turkey,2004,Leprosy,Respiratory,5.38,5.43,9.13,0-18,Male,875027,54.59,4.84,9.12,Therapy,38818.0,Yes,61.18,4856.0,3.09,87326.0,0.69,42.47 +52496,Russia,2005,Alzheimer's Disease,Cardiovascular,9.83,6.18,5.47,19-35,Other,694616,98.28,0.78,4.98,Surgery,5175.0,Yes,57.08,2241.0,0.27,10270.0,0.86,57.41 +52497,Turkey,2012,Influenza,Metabolic,3.71,3.05,6.47,61+,Male,540011,75.76,2.84,3.13,Vaccination,36224.0,Yes,58.29,3216.0,1.73,73594.0,0.73,29.96 +52501,China,2013,Alzheimer's Disease,Bacterial,13.94,7.88,4.08,36-60,Female,644844,70.29,4.25,8.3,Surgery,36370.0,Yes,52.81,639.0,2.61,86249.0,0.75,73.44 +52508,Indonesia,2018,Dengue,Chronic,19.42,8.46,8.62,19-35,Male,946320,91.41,1.2,4.08,Surgery,22716.0,No,72.84,2581.0,4.81,21828.0,0.55,43.13 +52515,Russia,2006,Hypertension,Viral,14.04,14.84,9.91,0-18,Male,141550,98.83,3.55,3.11,Surgery,28478.0,Yes,97.2,4562.0,2.82,82925.0,0.41,33.28 +52518,Brazil,2020,Dengue,Bacterial,6.65,14.97,2.95,36-60,Male,791862,73.8,2.29,8.72,Surgery,4415.0,No,75.78,2711.0,8.43,48059.0,0.48,88.19 +52520,France,2021,Measles,Bacterial,8.87,8.37,7.66,19-35,Male,113301,89.4,4.56,4.0,Surgery,9383.0,No,67.04,2147.0,1.76,28988.0,0.49,61.55 +52521,India,2013,Asthma,Respiratory,19.88,4.64,0.71,36-60,Other,457949,58.93,3.15,6.3,Therapy,48969.0,No,86.89,3524.0,5.47,20298.0,0.43,58.56 +52522,Italy,2013,Parkinson's Disease,Autoimmune,11.9,11.03,9.07,0-18,Other,618527,65.76,4.3,9.07,Therapy,12324.0,Yes,95.72,4682.0,0.28,60984.0,0.67,80.65 +52526,Mexico,2016,Parkinson's Disease,Genetic,2.97,5.4,5.15,0-18,Female,904658,76.98,2.32,8.78,Therapy,4685.0,Yes,73.3,3289.0,3.43,89938.0,0.88,78.03 +52529,Japan,2024,Tuberculosis,Metabolic,12.27,10.32,0.95,36-60,Other,91924,84.67,3.14,0.96,Therapy,5681.0,Yes,72.98,3928.0,1.29,7476.0,0.61,20.67 +52533,South Africa,2011,Influenza,Metabolic,0.44,1.3,1.94,61+,Other,802619,62.45,4.44,9.81,Medication,18024.0,Yes,76.49,4606.0,4.31,14455.0,0.83,86.65 +52536,China,2008,Dengue,Bacterial,6.11,4.48,8.47,0-18,Female,809587,95.03,1.22,2.33,Vaccination,27763.0,No,79.99,3839.0,0.77,36870.0,0.48,69.85 +52539,Saudi Arabia,2010,Measles,Parasitic,3.33,9.4,2.53,61+,Female,511806,97.74,1.43,4.29,Therapy,34620.0,Yes,96.7,1240.0,3.44,56220.0,0.77,32.57 +52544,Mexico,2022,Malaria,Viral,7.49,7.47,8.35,19-35,Female,990009,86.04,3.29,8.91,Vaccination,21618.0,No,54.07,3247.0,4.87,43542.0,0.75,31.9 +52545,Italy,2024,Cholera,Metabolic,1.1,6.41,7.32,0-18,Male,184656,98.82,3.06,2.95,Therapy,3933.0,No,55.49,164.0,0.42,18870.0,0.43,85.65 +52546,Mexico,2001,HIV/AIDS,Metabolic,18.49,8.71,4.37,36-60,Other,594907,66.44,3.21,4.49,Surgery,33559.0,Yes,86.76,4352.0,3.69,39451.0,0.47,68.94 +52547,Turkey,2004,Measles,Parasitic,11.35,9.43,6.06,19-35,Female,217477,91.83,1.1,3.61,Vaccination,4874.0,No,50.64,2897.0,9.57,32685.0,0.87,55.75 +52551,Russia,2010,Zika,Chronic,18.98,0.82,3.09,19-35,Other,740508,69.3,0.68,1.07,Therapy,40417.0,Yes,98.17,4015.0,5.72,49879.0,0.72,54.23 +52553,Indonesia,2003,Asthma,Parasitic,13.96,9.35,7.59,61+,Other,721844,71.78,3.8,7.19,Therapy,31707.0,Yes,83.91,1091.0,1.64,92703.0,0.54,45.18 +52561,Nigeria,2001,Malaria,Infectious,16.39,4.0,1.09,19-35,Other,959516,95.65,2.63,4.3,Therapy,36216.0,No,59.96,25.0,9.93,80505.0,0.73,42.35 +52562,Canada,2015,Polio,Respiratory,11.41,1.56,5.4,0-18,Male,500099,55.14,2.06,6.27,Therapy,175.0,Yes,88.18,2382.0,2.02,76935.0,0.84,52.54 +52569,Mexico,2007,Malaria,Parasitic,18.36,9.62,5.03,19-35,Female,897030,92.74,2.95,3.28,Surgery,45277.0,No,71.56,2190.0,5.3,11977.0,0.61,41.23 +52570,USA,2023,Zika,Respiratory,8.95,5.39,1.76,36-60,Other,668920,88.34,4.83,1.68,Surgery,8094.0,No,83.36,692.0,5.31,54301.0,0.47,54.03 +52571,Saudi Arabia,2008,Asthma,Metabolic,5.69,14.98,2.21,61+,Other,413380,84.09,4.88,3.02,Medication,15373.0,No,60.88,3680.0,7.16,87209.0,0.9,84.77 +52587,Argentina,2006,HIV/AIDS,Bacterial,15.75,7.74,2.82,61+,Male,658532,87.55,2.82,4.65,Therapy,8345.0,Yes,93.32,2985.0,3.97,12568.0,0.72,81.95 +52594,China,2002,Cholera,Cardiovascular,0.72,10.85,3.62,36-60,Female,305763,67.85,2.54,9.15,Medication,11253.0,Yes,65.89,3054.0,5.26,30037.0,0.55,35.25 +52600,South Korea,2009,Leprosy,Parasitic,3.76,9.98,0.12,36-60,Male,682843,72.77,3.96,7.85,Surgery,37266.0,No,76.92,1234.0,1.0,47928.0,0.43,82.45 +52606,USA,2010,Rabies,Parasitic,10.2,0.73,4.35,36-60,Other,389317,53.04,3.96,2.06,Therapy,7945.0,No,92.77,3706.0,1.67,69322.0,0.54,24.32 +52607,Canada,2018,Cancer,Cardiovascular,6.08,10.48,3.29,19-35,Other,384000,50.79,4.07,2.02,Therapy,39951.0,Yes,81.19,4680.0,2.68,29153.0,0.45,38.94 +52613,Canada,2017,Hypertension,Chronic,0.31,7.64,0.27,0-18,Female,311046,97.18,3.98,8.16,Surgery,7290.0,No,72.12,4540.0,6.36,70863.0,0.54,22.04 +52616,France,2015,Leprosy,Parasitic,15.85,5.64,9.5,61+,Male,508348,97.87,2.94,1.57,Surgery,8876.0,Yes,57.63,4591.0,8.56,60099.0,0.69,46.64 +52619,India,2022,Diabetes,Autoimmune,15.97,5.38,4.34,0-18,Other,332027,86.95,0.55,9.63,Surgery,37988.0,No,61.7,4725.0,1.65,65207.0,0.68,63.2 +52621,Japan,2004,Zika,Chronic,3.04,7.99,5.4,61+,Other,814869,94.95,3.42,7.14,Vaccination,4579.0,Yes,92.41,2868.0,5.3,49594.0,0.4,50.84 +52633,France,2014,Dengue,Bacterial,13.96,10.98,9.09,36-60,Female,4953,87.63,4.81,7.99,Surgery,13803.0,No,53.73,2666.0,9.65,68736.0,0.46,29.2 +52636,USA,2013,Malaria,Respiratory,3.82,10.43,9.75,19-35,Female,640721,58.79,0.81,6.4,Surgery,781.0,No,87.67,3546.0,8.32,78850.0,0.71,70.04 +52659,Argentina,2008,Asthma,Infectious,14.34,5.45,7.34,36-60,Other,489826,72.71,0.92,0.82,Vaccination,47307.0,No,50.58,1991.0,6.15,64943.0,0.66,38.62 +52677,South Africa,2021,Ebola,Bacterial,17.31,0.85,2.58,0-18,Female,286569,58.26,4.07,3.08,Vaccination,11571.0,Yes,55.13,3356.0,6.63,24175.0,0.52,42.67 +52680,Brazil,2000,Tuberculosis,Cardiovascular,8.49,8.53,1.88,0-18,Female,835597,73.38,2.44,5.8,Therapy,27811.0,No,85.75,4223.0,9.15,76601.0,0.85,23.11 +52695,Nigeria,2010,Alzheimer's Disease,Cardiovascular,12.45,13.84,9.46,36-60,Other,973796,68.91,0.81,5.69,Therapy,1102.0,Yes,92.42,3760.0,5.15,85066.0,0.61,84.47 +52700,Brazil,2003,Polio,Parasitic,11.27,6.05,6.77,61+,Male,579087,57.55,2.05,4.77,Vaccination,9434.0,Yes,58.55,1846.0,3.89,34776.0,0.73,47.85 +52721,China,2001,Hepatitis,Respiratory,8.71,1.82,5.42,36-60,Other,851734,52.83,1.43,7.09,Therapy,27932.0,Yes,66.69,2984.0,6.56,12920.0,0.47,79.35 +52729,Indonesia,2024,Zika,Parasitic,5.94,7.89,1.52,36-60,Male,336967,59.24,2.2,2.53,Therapy,313.0,Yes,66.33,740.0,6.75,47549.0,0.56,28.01 +52735,Saudi Arabia,2014,Diabetes,Genetic,3.24,11.21,3.16,19-35,Male,266829,90.53,3.02,1.85,Medication,48208.0,Yes,86.21,978.0,2.44,64636.0,0.74,75.83 +52743,India,2003,Hepatitis,Respiratory,5.47,1.61,4.18,0-18,Female,992325,76.48,4.15,9.64,Medication,12225.0,Yes,83.81,3743.0,4.03,34775.0,0.59,62.96 +52747,Italy,2014,Polio,Cardiovascular,0.88,10.49,8.81,36-60,Female,264809,50.5,2.46,2.15,Surgery,47288.0,Yes,62.87,1604.0,5.32,69703.0,0.56,22.62 +52752,Australia,2002,COVID-19,Infectious,18.85,4.0,1.0,36-60,Other,401713,53.57,4.22,5.71,Medication,40351.0,No,73.02,2117.0,3.95,76182.0,0.77,73.51 +52756,South Africa,2012,Leprosy,Viral,12.08,14.27,0.59,0-18,Other,29640,54.92,2.42,1.76,Medication,49026.0,Yes,90.98,866.0,6.77,72280.0,0.69,47.54 +52764,Saudi Arabia,2001,Hypertension,Autoimmune,19.09,10.47,8.97,61+,Female,525213,54.66,0.51,9.94,Medication,40474.0,No,95.8,3794.0,3.2,7699.0,0.43,38.41 +52770,Australia,2014,Influenza,Respiratory,19.16,14.51,8.86,61+,Female,367667,54.85,4.1,3.84,Surgery,16619.0,No,63.24,3206.0,3.89,33791.0,0.76,21.43 +52772,USA,2000,Cancer,Respiratory,14.91,5.97,2.35,19-35,Male,760686,98.46,1.63,7.59,Medication,165.0,Yes,88.22,2982.0,9.52,42369.0,0.57,52.48 +52779,USA,2013,COVID-19,Viral,8.62,8.8,9.81,36-60,Male,705385,99.99,3.72,9.29,Vaccination,41416.0,No,71.85,3384.0,1.4,7572.0,0.73,21.67 +52784,France,2006,Polio,Genetic,1.35,13.35,4.67,36-60,Male,409589,58.39,4.45,5.11,Surgery,16605.0,Yes,55.93,3329.0,8.22,56312.0,0.85,84.62 +52785,Argentina,2023,Malaria,Neurological,6.25,12.24,9.88,61+,Other,824310,51.68,3.5,6.65,Vaccination,6193.0,No,58.6,2340.0,9.97,33709.0,0.42,78.38 +52793,Australia,2004,Polio,Genetic,11.03,6.79,8.74,19-35,Male,370694,82.67,2.34,8.13,Vaccination,1803.0,No,52.13,864.0,0.87,48290.0,0.71,84.9 +52798,France,2000,Measles,Neurological,3.16,3.66,5.77,36-60,Female,268247,86.68,1.69,5.75,Vaccination,7216.0,Yes,65.49,1547.0,4.74,88884.0,0.51,22.6 +52801,Mexico,2022,Zika,Cardiovascular,4.26,13.47,1.18,0-18,Female,816937,88.47,4.84,8.14,Medication,8158.0,Yes,67.99,1878.0,2.77,63344.0,0.54,39.95 +52803,Nigeria,2001,Diabetes,Chronic,9.9,6.14,0.56,36-60,Other,900699,78.71,2.44,8.37,Therapy,48428.0,No,77.63,4047.0,2.0,32695.0,0.56,41.93 +52805,Australia,2015,Influenza,Autoimmune,3.5,1.35,7.34,36-60,Other,724907,96.28,1.56,3.67,Therapy,32104.0,Yes,75.94,71.0,7.77,5538.0,0.62,44.63 +52812,Mexico,2004,Diabetes,Parasitic,7.11,8.49,2.13,19-35,Male,753694,90.82,3.9,7.02,Vaccination,47693.0,Yes,79.05,3976.0,5.7,36269.0,0.62,45.38 +52816,Australia,2009,Influenza,Cardiovascular,3.45,6.02,8.42,0-18,Other,885249,57.46,3.04,8.98,Therapy,5600.0,No,98.46,1914.0,2.87,60904.0,0.44,44.03 +52818,UK,2015,Influenza,Respiratory,0.5,4.65,3.33,19-35,Male,635620,86.45,1.94,9.21,Surgery,42784.0,Yes,80.84,2217.0,4.8,50514.0,0.55,49.0 +52822,Indonesia,2020,Cholera,Bacterial,15.9,4.76,8.97,61+,Other,124306,70.05,3.45,6.66,Surgery,43278.0,No,80.4,2537.0,2.66,29436.0,0.5,41.24 +52836,Turkey,2000,Polio,Autoimmune,4.65,4.01,3.39,36-60,Female,547236,86.92,3.51,8.27,Medication,8661.0,No,52.35,2370.0,8.13,65676.0,0.73,30.78 +52841,China,2013,Malaria,Respiratory,7.71,9.95,7.91,19-35,Male,854823,72.96,2.75,7.08,Vaccination,9794.0,No,82.8,2997.0,3.06,79907.0,0.7,80.98 +52856,Nigeria,2022,Cancer,Chronic,0.65,3.97,7.03,36-60,Male,883047,94.82,1.8,1.79,Surgery,20522.0,No,63.36,2522.0,5.19,73439.0,0.73,84.59 +52861,Mexico,2003,Diabetes,Neurological,9.47,9.69,8.44,19-35,Male,290870,62.24,3.57,1.37,Therapy,26263.0,Yes,79.19,3377.0,1.6,11135.0,0.75,38.19 +52865,Argentina,2004,Malaria,Chronic,19.15,9.56,7.08,19-35,Male,398901,51.55,1.09,1.96,Therapy,11746.0,Yes,73.68,4962.0,7.86,82690.0,0.74,42.56 +52870,China,2011,Diabetes,Genetic,16.37,13.75,6.42,0-18,Other,955561,98.46,0.95,2.51,Medication,40294.0,No,58.83,1897.0,4.85,48323.0,0.63,64.89 +52875,Japan,2001,Rabies,Autoimmune,15.82,12.89,4.52,61+,Male,477095,84.76,4.03,0.61,Surgery,24666.0,No,79.55,227.0,6.95,99861.0,0.84,38.12 +52885,Nigeria,2023,Influenza,Respiratory,10.6,12.66,2.67,61+,Other,487352,88.61,4.22,4.38,Surgery,8803.0,Yes,86.4,2573.0,9.52,68526.0,0.76,26.82 +52897,China,2006,Alzheimer's Disease,Autoimmune,15.21,3.17,4.2,36-60,Female,208444,53.54,2.82,2.28,Vaccination,7259.0,No,89.34,3363.0,8.96,616.0,0.66,39.27 +52902,USA,2006,Malaria,Respiratory,2.87,9.36,9.17,0-18,Female,417257,98.7,2.73,0.7,Surgery,27368.0,Yes,59.13,2649.0,6.32,45330.0,0.89,56.95 +52904,Italy,2000,COVID-19,Bacterial,17.14,2.75,0.87,36-60,Other,300306,93.79,1.34,7.0,Surgery,30338.0,No,63.53,2083.0,5.49,88753.0,0.48,82.49 +52908,China,2020,Parkinson's Disease,Chronic,3.22,14.33,8.47,0-18,Other,468518,51.16,2.79,7.88,Therapy,1071.0,Yes,67.24,4036.0,0.04,58458.0,0.82,57.53 +52913,Saudi Arabia,2020,Measles,Parasitic,15.19,0.13,0.17,61+,Female,928733,96.56,1.93,5.67,Surgery,19945.0,Yes,85.98,3271.0,9.76,84520.0,0.56,84.92 +52916,UK,2002,Tuberculosis,Metabolic,17.34,12.03,2.03,0-18,Female,14935,98.24,1.76,0.59,Surgery,32693.0,No,85.91,3032.0,0.8,60593.0,0.78,89.02 +52926,Nigeria,2006,Influenza,Neurological,3.16,13.91,4.21,0-18,Female,297927,96.09,2.5,1.85,Vaccination,45474.0,No,77.11,2544.0,0.43,53003.0,0.41,42.87 +52930,Germany,2009,Leprosy,Infectious,11.26,1.56,5.67,19-35,Male,626207,91.39,1.55,9.18,Surgery,24767.0,No,94.7,3377.0,5.49,34797.0,0.46,31.54 +52942,Argentina,2008,HIV/AIDS,Respiratory,8.15,4.72,2.01,0-18,Female,369126,86.07,4.32,8.62,Surgery,20896.0,Yes,89.36,32.0,9.8,23590.0,0.49,32.33 +52946,Indonesia,2013,Influenza,Respiratory,13.82,8.95,9.03,36-60,Other,725596,96.35,3.66,3.52,Vaccination,46629.0,Yes,50.87,3377.0,4.22,74448.0,0.52,86.45 +52949,Australia,2023,Leprosy,Neurological,7.21,0.52,1.41,36-60,Other,93492,93.88,2.37,6.53,Medication,19295.0,Yes,97.85,769.0,0.64,87209.0,0.73,72.25 +52954,France,2015,Rabies,Respiratory,13.39,3.69,6.54,36-60,Other,158412,55.24,4.93,8.38,Vaccination,46841.0,No,50.9,3335.0,8.43,22244.0,0.46,67.68 +52958,Nigeria,2015,Rabies,Autoimmune,14.1,7.78,8.67,0-18,Female,467549,88.02,0.5,8.66,Therapy,46453.0,Yes,67.02,475.0,8.7,34308.0,0.87,74.69 +52961,China,2019,Ebola,Metabolic,1.53,0.89,3.9,36-60,Male,392003,84.05,2.27,8.2,Therapy,10733.0,No,64.0,4291.0,6.99,95020.0,0.6,82.24 +52962,Italy,2018,Zika,Infectious,7.38,14.54,6.99,19-35,Female,134254,82.48,3.0,2.91,Vaccination,13544.0,Yes,98.5,1183.0,1.2,40802.0,0.64,21.25 +52965,South Africa,2018,Malaria,Viral,1.32,9.41,1.74,19-35,Male,987804,93.28,2.77,9.12,Vaccination,15315.0,Yes,70.96,4358.0,2.2,85830.0,0.87,86.95 +52971,Japan,2003,Hepatitis,Bacterial,11.38,1.34,1.83,61+,Female,820244,96.21,1.32,5.44,Surgery,21583.0,Yes,86.19,3469.0,1.95,82243.0,0.68,88.86 +52972,Russia,2023,Parkinson's Disease,Autoimmune,11.36,12.24,2.19,36-60,Other,650159,90.43,3.77,3.16,Surgery,5894.0,Yes,60.73,1947.0,0.51,54882.0,0.82,53.71 +52979,Australia,2000,Parkinson's Disease,Viral,4.11,4.2,3.31,61+,Other,466158,62.65,1.06,6.72,Therapy,42385.0,Yes,72.8,3931.0,1.21,559.0,0.7,31.55 +52988,Japan,2012,COVID-19,Chronic,0.23,9.96,1.52,36-60,Female,862685,96.95,4.94,6.68,Vaccination,10009.0,Yes,67.8,3168.0,8.7,71518.0,0.69,20.97 +52989,Argentina,2020,Measles,Neurological,13.64,9.75,7.21,61+,Male,943407,75.5,4.64,2.45,Surgery,38490.0,No,83.15,83.0,1.45,5499.0,0.81,44.31 +53004,France,2024,Polio,Chronic,12.15,13.02,9.31,36-60,Other,478118,78.11,0.74,1.48,Medication,44492.0,Yes,87.05,131.0,9.99,59889.0,0.45,51.94 +53006,USA,2007,Hepatitis,Autoimmune,6.48,7.36,0.85,36-60,Other,35757,66.92,2.54,3.46,Surgery,36111.0,No,75.01,2447.0,8.17,53190.0,0.52,43.64 +53007,Nigeria,2012,Hypertension,Chronic,4.56,13.14,6.74,19-35,Other,275075,61.6,4.83,6.91,Therapy,46367.0,No,88.17,3647.0,9.01,4345.0,0.8,24.7 +53009,Brazil,2010,Dengue,Parasitic,9.15,14.19,9.93,61+,Other,263686,98.38,4.75,7.0,Therapy,5510.0,No,68.51,2430.0,7.99,62727.0,0.65,24.39 +53028,Italy,2019,COVID-19,Bacterial,3.82,11.95,8.3,0-18,Other,420508,85.1,0.69,3.36,Medication,13037.0,No,97.13,2590.0,8.79,65886.0,0.87,66.74 +53033,UK,2011,Influenza,Infectious,7.89,7.1,6.2,61+,Other,359936,91.92,0.74,3.0,Vaccination,25120.0,No,86.5,3572.0,5.19,2491.0,0.43,60.54 +53039,Canada,2015,Polio,Chronic,6.38,13.55,5.86,19-35,Other,178075,98.38,2.41,3.64,Therapy,10838.0,Yes,81.4,242.0,3.23,33561.0,0.88,38.69 +53053,Canada,2014,Cancer,Respiratory,6.24,2.21,6.17,36-60,Other,278167,64.11,1.62,8.97,Medication,9588.0,No,60.83,4078.0,6.81,93440.0,0.57,23.5 +53065,South Korea,2010,HIV/AIDS,Bacterial,1.09,13.95,3.21,61+,Other,885673,75.07,4.87,2.08,Vaccination,43843.0,No,83.91,4680.0,7.41,99563.0,0.58,42.82 +53070,USA,2011,Diabetes,Bacterial,19.71,14.69,6.04,19-35,Male,816821,99.72,3.66,8.58,Medication,43614.0,Yes,70.69,963.0,1.14,68580.0,0.8,40.91 +53074,Argentina,2006,HIV/AIDS,Respiratory,15.21,12.42,7.64,36-60,Male,548994,89.3,1.65,7.18,Medication,13090.0,No,58.23,3668.0,0.51,86752.0,0.87,75.12 +53081,Australia,2012,Influenza,Cardiovascular,4.31,6.81,3.79,19-35,Female,995369,77.1,2.32,1.53,Surgery,10295.0,Yes,64.94,4089.0,4.01,4854.0,0.73,48.92 +53088,Argentina,2001,Malaria,Respiratory,3.59,5.77,8.28,36-60,Female,293718,98.84,3.46,3.12,Therapy,628.0,No,82.17,623.0,9.54,53588.0,0.54,83.12 +53092,Mexico,2006,Zika,Chronic,0.15,8.87,1.4,0-18,Female,603395,81.52,4.26,5.81,Surgery,19489.0,Yes,87.09,2820.0,6.24,47005.0,0.82,56.16 +53093,Argentina,2018,Malaria,Genetic,19.39,9.65,4.39,19-35,Other,321562,65.02,0.86,1.18,Medication,46792.0,Yes,61.78,2497.0,4.08,6131.0,0.82,39.82 +53099,Japan,2018,Asthma,Respiratory,3.49,2.96,2.33,19-35,Female,700465,62.43,1.55,4.37,Medication,15263.0,No,68.01,3817.0,9.14,54913.0,0.55,83.11 +53100,India,2011,Rabies,Parasitic,6.68,4.17,1.77,19-35,Other,750069,91.57,4.43,8.37,Medication,20810.0,Yes,96.71,581.0,2.03,9700.0,0.54,41.48 +53106,Australia,2018,Cancer,Respiratory,6.02,8.87,5.08,36-60,Male,570415,80.64,1.01,9.16,Therapy,49019.0,No,80.83,1155.0,2.15,46501.0,0.47,52.08 +53107,USA,2019,Measles,Infectious,16.95,13.9,2.24,0-18,Female,193699,72.37,1.59,4.96,Surgery,31572.0,No,91.99,1129.0,6.62,3351.0,0.77,83.11 +53119,Turkey,2006,Asthma,Autoimmune,12.5,13.86,8.75,19-35,Male,100733,98.59,4.79,1.1,Therapy,44517.0,Yes,55.28,2426.0,6.99,5225.0,0.81,51.76 +53124,South Africa,2002,Cancer,Chronic,16.56,6.68,1.53,0-18,Male,631120,69.6,2.7,7.15,Medication,686.0,Yes,73.19,936.0,6.66,11244.0,0.57,51.98 +53126,China,2019,COVID-19,Infectious,0.89,3.37,3.91,36-60,Female,947486,75.91,2.0,5.9,Therapy,32034.0,No,82.84,2450.0,8.99,53180.0,0.76,53.95 +53136,South Korea,2021,Polio,Metabolic,0.37,0.36,1.29,61+,Male,40008,84.34,3.96,0.54,Therapy,44445.0,Yes,96.4,1250.0,7.4,53616.0,0.77,22.02 +53141,Argentina,2010,Cholera,Bacterial,11.08,10.02,7.0,19-35,Male,202690,59.64,4.77,9.59,Vaccination,29166.0,No,92.77,1438.0,8.54,26189.0,0.53,78.1 +53147,France,2010,Cancer,Neurological,12.57,12.16,3.6,19-35,Other,863540,68.22,4.82,3.3,Therapy,18138.0,Yes,93.35,4561.0,4.33,69000.0,0.53,81.25 +53151,Saudi Arabia,2013,Asthma,Infectious,13.69,1.15,3.84,61+,Other,834789,68.5,1.95,1.25,Medication,17980.0,No,96.67,2616.0,9.89,67263.0,0.48,75.43 +53152,Indonesia,2006,Polio,Parasitic,3.88,6.66,6.32,19-35,Male,698287,55.33,3.6,8.68,Therapy,27381.0,Yes,86.19,2888.0,9.59,81974.0,0.47,56.62 +53163,Nigeria,2018,Zika,Chronic,0.41,12.93,4.48,0-18,Other,248915,82.9,1.41,3.8,Vaccination,17793.0,No,59.64,3569.0,5.43,64351.0,0.44,22.89 +53165,South Africa,2013,Hepatitis,Bacterial,15.76,5.78,3.07,19-35,Male,117961,55.47,4.85,9.6,Medication,4630.0,Yes,55.51,890.0,8.07,74986.0,0.5,88.69 +53171,Russia,2006,Zika,Genetic,10.88,7.85,7.16,36-60,Female,224986,77.43,2.8,1.29,Vaccination,13352.0,No,89.54,4408.0,4.36,76774.0,0.71,35.72 +53174,France,2017,Malaria,Respiratory,2.2,8.02,9.38,36-60,Male,704091,52.17,1.96,4.69,Medication,21948.0,Yes,61.41,3521.0,3.53,48820.0,0.83,61.59 +53180,Russia,2006,Ebola,Chronic,6.43,14.75,0.75,36-60,Male,771928,81.09,3.37,1.3,Vaccination,22034.0,Yes,79.79,4018.0,8.06,6668.0,0.74,31.97 +53181,India,2019,Zika,Neurological,2.13,6.62,4.9,19-35,Other,270294,81.45,2.98,2.03,Surgery,21643.0,Yes,53.31,4665.0,3.19,70626.0,0.73,51.63 +53188,Turkey,2003,Alzheimer's Disease,Genetic,14.43,4.73,2.58,0-18,Male,976155,89.58,1.29,1.75,Therapy,15360.0,No,69.91,282.0,2.31,73969.0,0.6,21.51 +53201,Nigeria,2023,Parkinson's Disease,Cardiovascular,3.97,0.58,4.51,36-60,Other,808616,74.85,4.6,9.56,Vaccination,21718.0,No,62.73,131.0,9.99,86946.0,0.69,50.89 +53204,Turkey,2002,Diabetes,Bacterial,10.08,2.05,5.48,61+,Female,778485,79.0,1.56,0.98,Vaccination,41845.0,Yes,89.51,2140.0,7.15,99224.0,0.84,61.64 +53209,UK,2014,HIV/AIDS,Genetic,19.31,11.57,2.61,61+,Other,38125,94.35,4.7,6.59,Therapy,36599.0,Yes,68.0,664.0,3.7,75635.0,0.44,76.88 +53210,France,2010,Alzheimer's Disease,Infectious,11.44,8.75,4.87,36-60,Female,299681,91.49,2.8,9.34,Vaccination,3157.0,Yes,58.11,2105.0,3.85,34335.0,0.47,31.52 +53212,Canada,2019,Cholera,Metabolic,9.71,13.29,6.65,0-18,Male,878208,57.74,1.56,2.85,Vaccination,12561.0,No,82.88,3687.0,4.49,55376.0,0.49,41.85 +53213,Turkey,2017,Leprosy,Infectious,0.25,5.63,9.24,36-60,Female,381398,74.7,2.8,8.08,Surgery,43698.0,Yes,56.07,3474.0,2.91,73070.0,0.45,65.4 +53222,Germany,2018,Cholera,Parasitic,13.26,8.63,2.99,61+,Male,298655,65.1,2.33,3.95,Therapy,23769.0,No,95.36,1561.0,2.79,40587.0,0.85,36.82 +53227,Nigeria,2004,Zika,Autoimmune,2.0,1.98,2.57,19-35,Other,652722,94.68,4.48,2.91,Vaccination,24151.0,No,97.43,2897.0,9.54,11581.0,0.76,77.62 +53234,France,2013,Parkinson's Disease,Infectious,9.77,1.26,9.39,61+,Other,126312,51.78,4.95,5.42,Medication,26692.0,Yes,90.48,2593.0,2.12,63729.0,0.5,63.86 +53235,Turkey,2024,Leprosy,Autoimmune,17.45,10.63,7.6,0-18,Female,117624,69.8,0.77,9.57,Therapy,45119.0,Yes,51.85,4785.0,6.04,95638.0,0.68,22.44 +53237,Nigeria,2005,Dengue,Cardiovascular,13.57,10.3,5.39,36-60,Other,648771,59.67,4.62,4.54,Medication,6767.0,Yes,70.93,1336.0,6.67,83586.0,0.75,77.5 +53244,Argentina,2005,Cancer,Viral,8.67,4.05,6.44,0-18,Other,522497,71.04,1.14,6.58,Medication,16840.0,No,78.24,3275.0,9.49,51323.0,0.71,55.55 +53257,Germany,2013,Rabies,Neurological,18.93,0.43,6.89,36-60,Other,811712,93.89,2.85,9.29,Therapy,29561.0,No,72.94,3674.0,9.91,84053.0,0.6,56.3 +53259,Brazil,2005,Alzheimer's Disease,Parasitic,2.24,8.19,8.97,19-35,Other,336629,69.78,3.73,3.0,Vaccination,5291.0,Yes,53.0,1137.0,3.06,36629.0,0.83,40.02 +53263,Saudi Arabia,2015,Asthma,Parasitic,16.35,13.7,2.43,0-18,Other,619236,81.07,4.64,8.73,Surgery,11550.0,Yes,59.27,2832.0,9.42,5936.0,0.59,41.07 +53265,China,2022,Malaria,Cardiovascular,8.32,7.18,3.83,36-60,Female,860049,65.13,1.4,5.7,Therapy,38327.0,No,77.18,1777.0,9.24,78853.0,0.81,30.5 +53268,Turkey,2014,Measles,Viral,15.82,11.14,7.33,19-35,Female,776733,77.54,1.06,4.65,Vaccination,16000.0,Yes,69.27,416.0,2.8,31129.0,0.81,72.32 +53273,Italy,2021,HIV/AIDS,Bacterial,9.18,4.96,5.79,36-60,Other,134411,98.92,2.29,3.37,Surgery,10153.0,Yes,88.86,4324.0,3.66,54714.0,0.76,54.18 +53277,Australia,2024,Dengue,Parasitic,3.09,3.93,4.79,19-35,Other,514838,84.5,3.4,4.35,Surgery,32974.0,No,89.94,1177.0,2.81,52484.0,0.52,39.63 +53286,Saudi Arabia,2013,Cancer,Bacterial,6.08,12.47,6.57,61+,Female,439317,62.94,4.11,8.37,Surgery,7335.0,Yes,67.37,3781.0,9.38,98529.0,0.88,74.62 +53293,China,2007,Hypertension,Infectious,2.34,13.62,7.45,61+,Female,896289,62.64,1.76,7.79,Vaccination,10694.0,No,63.91,497.0,9.66,32163.0,0.66,49.81 +53297,France,2019,COVID-19,Neurological,11.84,2.04,3.28,61+,Other,78678,72.64,1.58,6.58,Medication,26978.0,Yes,79.24,4270.0,0.87,4872.0,0.66,81.73 +53309,Mexico,2003,COVID-19,Parasitic,4.48,4.88,8.74,61+,Male,429291,89.77,4.76,6.03,Vaccination,1170.0,Yes,79.87,86.0,3.58,9762.0,0.71,31.02 +53315,France,2018,Ebola,Neurological,14.63,2.08,9.38,61+,Male,828884,50.15,2.35,7.22,Medication,48880.0,Yes,83.04,4162.0,6.08,68665.0,0.81,20.76 +53325,Nigeria,2016,Ebola,Chronic,17.03,1.19,9.97,0-18,Other,643626,91.9,3.77,8.6,Surgery,34749.0,Yes,52.17,377.0,5.41,77773.0,0.42,56.56 +53334,France,2010,Parkinson's Disease,Viral,9.62,9.54,3.8,61+,Male,21069,66.6,2.94,5.07,Surgery,32918.0,No,73.63,1721.0,1.94,10046.0,0.74,81.93 +53339,Canada,2007,Malaria,Autoimmune,17.49,8.11,9.46,19-35,Female,17616,53.43,4.65,5.65,Surgery,45378.0,No,96.25,1855.0,3.61,87352.0,0.76,35.08 +53342,Mexico,2013,Asthma,Cardiovascular,17.84,3.55,8.35,61+,Male,562991,74.41,2.11,2.72,Medication,45418.0,Yes,87.56,4790.0,1.46,19399.0,0.55,46.48 +53351,Italy,2020,Malaria,Metabolic,3.97,11.77,1.81,36-60,Other,130899,59.17,1.43,6.12,Therapy,28691.0,No,62.88,336.0,0.62,10211.0,0.44,29.46 +53353,Brazil,2016,COVID-19,Viral,5.42,11.11,7.1,61+,Male,389714,69.89,3.02,4.51,Surgery,15251.0,No,79.18,940.0,9.28,26248.0,0.6,70.21 +53354,Argentina,2009,Dengue,Respiratory,9.55,5.98,5.44,36-60,Male,422353,81.97,4.57,3.24,Medication,36363.0,Yes,80.21,1984.0,6.8,57406.0,0.47,45.3 +53362,China,2001,Tuberculosis,Bacterial,1.91,7.85,3.46,61+,Male,361213,77.88,1.05,6.32,Vaccination,15593.0,Yes,54.92,1733.0,4.37,24970.0,0.44,43.12 +53366,Australia,2009,Alzheimer's Disease,Neurological,1.75,9.48,5.17,19-35,Other,699953,88.85,2.84,7.6,Vaccination,7115.0,No,50.66,2854.0,3.05,40070.0,0.77,56.11 +53373,Indonesia,2007,Cancer,Cardiovascular,15.67,6.29,3.38,19-35,Male,486989,79.45,3.3,9.16,Medication,7319.0,Yes,55.12,3573.0,3.57,9686.0,0.45,51.89 +53374,Turkey,2018,Dengue,Metabolic,8.22,9.53,0.65,61+,Female,71827,97.23,0.84,2.97,Vaccination,22748.0,Yes,50.48,2000.0,1.84,15127.0,0.66,36.87 +53376,India,2005,Cancer,Metabolic,12.5,5.19,1.14,36-60,Other,919542,84.44,1.95,2.06,Vaccination,10404.0,Yes,83.94,1266.0,7.85,50160.0,0.42,78.2 +53382,Japan,2017,COVID-19,Autoimmune,6.64,2.04,3.03,36-60,Other,778646,57.57,4.79,9.84,Therapy,35436.0,Yes,98.22,4887.0,0.7,1883.0,0.85,58.1 +53383,Saudi Arabia,2021,Measles,Cardiovascular,5.49,0.9,4.66,0-18,Female,517291,84.52,3.12,8.86,Surgery,784.0,No,70.42,4037.0,8.68,56145.0,0.42,21.11 +53384,Indonesia,2017,HIV/AIDS,Chronic,11.69,1.88,2.49,0-18,Male,105043,92.07,1.08,2.16,Therapy,35876.0,No,55.9,2269.0,0.29,81701.0,0.79,31.43 +53385,Indonesia,2009,Parkinson's Disease,Bacterial,10.8,7.01,6.69,36-60,Female,324588,97.2,3.57,8.94,Vaccination,35608.0,Yes,53.88,2185.0,6.02,31371.0,0.45,75.48 +53399,India,2020,Cancer,Parasitic,17.51,2.01,6.83,19-35,Other,893937,83.82,1.41,0.93,Vaccination,7550.0,Yes,68.35,2399.0,6.01,32830.0,0.69,78.43 +53400,France,2019,COVID-19,Bacterial,15.12,3.63,0.57,19-35,Other,100412,80.82,3.93,5.4,Surgery,30004.0,No,78.61,553.0,0.59,74146.0,0.81,24.68 +53402,Australia,2016,Asthma,Respiratory,19.12,3.18,3.51,19-35,Male,875362,69.16,3.85,0.88,Vaccination,20413.0,Yes,80.7,3628.0,4.34,45284.0,0.58,70.45 +53404,France,2015,Cancer,Infectious,17.87,5.68,6.99,19-35,Male,926469,65.01,4.42,8.46,Surgery,22834.0,No,65.91,2261.0,3.28,98350.0,0.84,65.06 +53405,Indonesia,2020,Cancer,Bacterial,6.05,1.04,7.19,0-18,Female,684119,56.05,4.87,1.19,Vaccination,25415.0,Yes,73.11,2747.0,9.54,38948.0,0.65,61.45 +53412,Saudi Arabia,2004,Leprosy,Parasitic,6.82,7.5,0.8,19-35,Female,983486,98.75,2.48,9.39,Medication,6344.0,Yes,76.56,3250.0,6.01,94678.0,0.89,52.56 +53413,Saudi Arabia,2016,Cancer,Cardiovascular,18.99,10.67,3.89,0-18,Other,286253,57.74,1.11,0.96,Surgery,49247.0,Yes,63.34,1745.0,8.63,77698.0,0.63,60.95 +53415,France,2001,Measles,Respiratory,14.1,14.6,6.35,0-18,Female,329483,91.91,2.42,8.59,Surgery,40921.0,Yes,79.81,4635.0,5.75,29526.0,0.8,79.49 +53419,Turkey,2011,COVID-19,Genetic,4.07,6.97,9.44,61+,Female,715642,98.19,3.28,4.41,Medication,1532.0,Yes,63.71,4579.0,5.5,82989.0,0.47,70.04 +53422,Brazil,2010,Measles,Bacterial,14.24,13.07,8.24,0-18,Other,623171,63.71,0.69,7.03,Therapy,4972.0,No,77.56,118.0,8.9,66839.0,0.42,46.76 +53426,Mexico,2000,Hypertension,Viral,13.83,9.02,1.66,61+,Male,983367,81.48,4.75,0.56,Surgery,21230.0,Yes,61.22,3013.0,2.34,82104.0,0.83,73.21 +53427,France,2022,Tuberculosis,Autoimmune,2.12,5.28,3.41,0-18,Male,366472,82.8,1.2,6.51,Vaccination,16340.0,Yes,89.44,2137.0,7.32,62461.0,0.51,70.16 +53433,Canada,2008,Cancer,Bacterial,14.96,5.58,3.65,61+,Male,109545,55.94,4.27,3.9,Therapy,26800.0,Yes,58.12,3483.0,7.76,75911.0,0.5,58.61 +53449,Japan,2021,Alzheimer's Disease,Respiratory,18.73,1.18,4.55,0-18,Male,881673,98.25,3.6,3.76,Vaccination,21360.0,Yes,74.68,1635.0,4.63,65882.0,0.41,41.29 +53457,Australia,2019,Zika,Infectious,19.65,2.16,6.66,36-60,Female,422872,92.29,4.82,0.5,Surgery,2064.0,No,63.76,3897.0,3.18,70166.0,0.53,71.87 +53467,China,2013,Tuberculosis,Genetic,18.06,14.46,5.5,0-18,Male,551959,91.53,1.91,3.32,Medication,37125.0,Yes,83.13,526.0,9.31,13665.0,0.64,48.54 +53474,Canada,2009,Alzheimer's Disease,Infectious,18.15,7.77,2.08,19-35,Female,157395,98.05,2.49,1.08,Therapy,26017.0,No,61.78,3087.0,6.36,5188.0,0.67,24.09 +53475,South Korea,2000,Influenza,Autoimmune,3.44,10.01,5.86,19-35,Female,227240,94.18,4.23,3.13,Therapy,39811.0,Yes,88.49,4558.0,2.82,30636.0,0.83,21.85 +53479,South Africa,2019,Zika,Chronic,9.68,13.73,8.52,0-18,Male,797988,51.51,1.12,2.73,Therapy,46341.0,No,85.76,4400.0,0.19,8659.0,0.87,53.63 +53489,Nigeria,2017,Alzheimer's Disease,Parasitic,17.71,5.15,2.35,19-35,Female,837832,89.88,4.34,4.48,Therapy,5550.0,Yes,97.86,1147.0,0.46,82659.0,0.9,88.94 +53490,UK,2016,Rabies,Autoimmune,11.07,6.92,9.21,0-18,Female,510905,79.45,1.05,7.42,Surgery,13601.0,No,85.8,443.0,7.64,35688.0,0.43,67.4 +53491,Argentina,2016,Diabetes,Cardiovascular,11.82,12.9,0.34,36-60,Other,523792,52.64,3.54,2.16,Vaccination,17008.0,No,59.52,4350.0,1.54,53574.0,0.65,65.68 +53495,Indonesia,2010,Zika,Neurological,5.07,10.36,1.95,19-35,Male,520026,96.16,3.43,2.75,Surgery,28613.0,Yes,79.48,2308.0,9.28,10269.0,0.89,36.2 +53505,Russia,2012,Cancer,Viral,0.86,3.02,6.81,0-18,Female,700652,54.17,1.75,3.61,Therapy,48118.0,Yes,53.32,2454.0,3.05,27303.0,0.6,44.24 +53508,USA,2005,Hepatitis,Neurological,14.49,13.41,7.07,61+,Female,196462,51.77,1.38,1.67,Therapy,20733.0,Yes,61.95,2002.0,8.54,47375.0,0.83,67.0 +53509,Turkey,2020,Tuberculosis,Autoimmune,7.27,13.04,5.48,36-60,Female,17538,55.79,3.02,4.15,Surgery,17760.0,Yes,76.71,3511.0,4.21,5234.0,0.86,43.32 +53510,Australia,2007,Malaria,Neurological,1.37,12.04,5.15,36-60,Other,976142,73.22,4.44,3.86,Therapy,49514.0,No,57.86,799.0,8.36,88954.0,0.66,20.13 +53515,Indonesia,2021,Parkinson's Disease,Parasitic,3.45,13.46,2.56,0-18,Male,253494,87.71,4.56,7.99,Surgery,26606.0,Yes,83.3,4464.0,5.13,15446.0,0.71,22.98 +53528,Brazil,2024,Ebola,Autoimmune,1.12,6.38,0.12,61+,Female,971939,95.53,1.88,7.3,Vaccination,1834.0,Yes,61.28,4302.0,2.51,13344.0,0.41,48.38 +53530,USA,2011,Measles,Metabolic,8.1,9.79,3.58,19-35,Male,607410,87.92,4.96,1.23,Therapy,10663.0,No,62.4,3454.0,5.95,95190.0,0.78,47.49 +53537,India,2018,Malaria,Genetic,1.96,3.83,8.6,0-18,Female,385294,61.93,2.01,5.17,Medication,1623.0,Yes,66.2,851.0,2.15,90854.0,0.77,71.69 +53542,USA,2003,Leprosy,Metabolic,4.81,10.08,4.64,61+,Female,842144,76.43,4.38,9.2,Therapy,44880.0,Yes,92.48,3955.0,7.5,55637.0,0.59,41.33 +53547,Russia,2021,Measles,Neurological,15.82,3.75,0.42,0-18,Female,605289,72.1,1.36,0.56,Surgery,7433.0,Yes,88.98,752.0,0.66,26410.0,0.88,33.75 +53548,Italy,2009,Leprosy,Infectious,19.83,1.74,2.9,19-35,Male,195295,57.4,3.05,4.5,Medication,34354.0,Yes,95.47,1359.0,6.96,80279.0,0.71,20.23 +53558,Russia,2006,Dengue,Cardiovascular,3.22,6.58,3.17,19-35,Female,91310,89.3,0.84,2.54,Vaccination,6939.0,Yes,57.92,4340.0,0.89,96829.0,0.61,57.08 +53569,Brazil,2016,Leprosy,Metabolic,9.22,11.44,8.05,19-35,Other,58106,94.28,0.82,3.27,Medication,30364.0,Yes,83.84,2129.0,9.53,60725.0,0.67,88.36 +53578,Turkey,2004,Zika,Genetic,5.64,8.53,9.13,0-18,Other,680702,86.61,3.14,7.4,Surgery,41860.0,No,51.41,906.0,8.82,14649.0,0.82,78.2 +53590,South Africa,2004,Alzheimer's Disease,Cardiovascular,8.17,9.62,0.94,19-35,Male,517975,76.69,4.71,4.76,Medication,25999.0,Yes,86.78,2457.0,7.2,25211.0,0.6,58.8 +53597,Turkey,2006,Cancer,Genetic,0.24,14.33,2.65,19-35,Female,90396,84.74,1.37,2.08,Vaccination,7809.0,No,80.02,3354.0,0.6,66960.0,0.79,89.89 +53611,Germany,2005,Malaria,Chronic,17.65,6.58,6.6,0-18,Male,191802,51.99,2.92,3.63,Vaccination,15096.0,Yes,93.76,975.0,6.01,5395.0,0.81,57.43 +53613,Germany,2011,Polio,Chronic,10.41,11.7,8.55,61+,Male,715663,91.68,1.81,4.95,Surgery,22486.0,Yes,65.57,1548.0,0.75,84861.0,0.44,23.77 +53614,India,2024,Tuberculosis,Bacterial,2.33,5.53,3.59,36-60,Male,25795,97.26,4.86,4.59,Therapy,28550.0,No,64.02,4648.0,0.58,1481.0,0.6,38.13 +53620,France,2022,Cholera,Genetic,18.3,13.15,6.9,0-18,Male,773675,70.83,3.51,8.42,Therapy,5926.0,Yes,64.55,4825.0,1.32,19226.0,0.87,66.68 +53625,Mexico,2012,Leprosy,Bacterial,1.69,6.96,3.01,0-18,Other,667873,76.12,3.45,0.7,Vaccination,33289.0,Yes,97.55,18.0,6.5,72235.0,0.8,51.95 +53628,South Korea,2013,COVID-19,Respiratory,12.34,8.42,9.69,0-18,Other,494388,65.81,1.43,0.57,Therapy,31809.0,No,58.09,1869.0,7.75,41175.0,0.57,85.91 +53630,Australia,2023,Hepatitis,Parasitic,6.93,13.27,5.88,61+,Female,198025,93.4,4.11,8.47,Vaccination,47632.0,No,78.69,574.0,8.09,12035.0,0.6,89.35 +53631,South Africa,2017,Ebola,Chronic,14.79,10.87,3.05,61+,Other,694215,89.24,2.81,7.04,Medication,46196.0,Yes,95.15,3315.0,5.44,77532.0,0.74,45.34 +53634,Australia,2022,Ebola,Autoimmune,9.27,14.97,5.97,19-35,Male,679449,70.07,3.12,9.3,Vaccination,45443.0,No,65.52,1186.0,4.97,43765.0,0.72,62.36 +53648,Russia,2009,HIV/AIDS,Metabolic,10.11,13.77,4.02,36-60,Female,485793,76.58,3.43,9.28,Medication,24840.0,Yes,62.46,1470.0,1.4,81935.0,0.72,76.33 +53652,South Korea,2020,Rabies,Parasitic,5.63,5.59,0.5,0-18,Other,352566,97.4,3.01,4.0,Vaccination,12971.0,No,68.16,1113.0,8.68,46027.0,0.82,82.62 +53664,Russia,2022,Cancer,Bacterial,13.48,4.33,3.28,61+,Male,260040,74.23,1.5,6.32,Surgery,15428.0,No,68.25,2774.0,6.86,27066.0,0.76,24.17 +53681,Australia,2004,Parkinson's Disease,Infectious,3.32,4.56,4.59,36-60,Male,938015,89.27,1.55,3.31,Medication,21476.0,Yes,77.07,183.0,9.44,79289.0,0.41,64.48 +53684,Argentina,2020,Measles,Viral,19.88,1.31,5.19,19-35,Other,526224,52.1,3.41,2.98,Therapy,1023.0,No,80.81,3337.0,4.16,49482.0,0.45,47.12 +53686,USA,2013,Leprosy,Genetic,3.54,0.23,5.3,0-18,Male,536684,71.56,2.21,3.88,Vaccination,43230.0,No,54.75,164.0,3.72,99292.0,0.51,44.6 +53690,South Korea,2004,Measles,Viral,4.34,6.47,0.89,36-60,Female,520026,66.46,3.54,8.16,Surgery,6959.0,Yes,97.34,2753.0,1.3,39333.0,0.68,61.7 +53695,Japan,2011,Polio,Neurological,2.24,13.54,3.62,36-60,Other,234809,79.32,2.31,8.6,Medication,1476.0,Yes,93.02,3318.0,7.39,79681.0,0.46,34.47 +53702,China,2001,Parkinson's Disease,Infectious,15.22,9.96,6.56,36-60,Male,198462,75.09,0.98,3.76,Therapy,9013.0,No,78.14,1123.0,9.68,92178.0,0.5,64.36 +53706,USA,2003,Malaria,Autoimmune,7.54,2.11,9.77,19-35,Female,219607,60.12,2.28,5.34,Surgery,18578.0,Yes,93.49,1100.0,8.4,30635.0,0.66,45.44 +53709,Argentina,2015,COVID-19,Respiratory,8.62,1.62,8.05,19-35,Male,858647,92.89,3.28,9.56,Therapy,21359.0,No,68.95,955.0,5.12,12321.0,0.54,56.03 +53719,UK,2017,Ebola,Viral,14.74,2.67,3.89,36-60,Female,432098,83.14,1.51,9.43,Medication,15231.0,Yes,84.25,2955.0,9.63,13567.0,0.5,77.81 +53723,UK,2015,Parkinson's Disease,Viral,1.95,2.87,9.42,19-35,Male,239282,89.26,0.51,1.37,Surgery,17845.0,Yes,98.12,3250.0,9.4,96758.0,0.8,47.81 +53726,Nigeria,2018,Cholera,Metabolic,8.3,6.4,8.7,36-60,Other,763651,71.23,3.52,2.99,Surgery,49608.0,Yes,88.73,2020.0,6.85,71958.0,0.6,79.47 +53730,Canada,2001,HIV/AIDS,Autoimmune,14.23,4.0,5.17,19-35,Other,137522,54.2,0.71,4.07,Vaccination,45673.0,No,66.17,902.0,8.34,23570.0,0.66,50.84 +53745,South Korea,2002,Measles,Infectious,7.25,9.51,0.86,36-60,Other,676248,64.47,1.48,2.83,Therapy,41699.0,Yes,68.84,10.0,6.24,44266.0,0.75,25.17 +53747,Saudi Arabia,2006,COVID-19,Neurological,2.68,14.27,9.94,61+,Female,397155,98.15,4.26,5.27,Therapy,11228.0,No,52.34,2776.0,6.66,10134.0,0.6,71.88 +53749,France,2023,Influenza,Genetic,10.89,5.34,3.07,36-60,Other,987387,51.65,3.0,8.87,Medication,26733.0,No,81.84,4351.0,0.24,51590.0,0.64,43.33 +53754,Japan,2021,Hepatitis,Cardiovascular,15.86,6.07,1.68,61+,Female,7383,56.69,1.77,4.26,Surgery,48192.0,No,81.86,2119.0,4.96,63154.0,0.84,67.4 +53755,Brazil,2021,Cancer,Metabolic,19.89,8.9,4.77,0-18,Female,49298,92.89,2.98,1.38,Medication,49137.0,Yes,66.35,1903.0,3.9,47443.0,0.48,83.38 +53773,Saudi Arabia,2016,HIV/AIDS,Bacterial,3.45,13.11,1.69,36-60,Female,292140,61.93,2.53,3.14,Vaccination,14115.0,Yes,86.48,941.0,9.13,91139.0,0.83,66.02 +53774,Australia,2016,Zika,Viral,17.94,14.15,8.81,0-18,Male,979123,78.65,3.76,6.09,Surgery,16397.0,Yes,62.82,3480.0,6.31,77713.0,0.74,41.22 +53778,Italy,2012,Measles,Cardiovascular,16.7,4.83,7.75,36-60,Other,741685,71.55,2.88,6.96,Vaccination,10091.0,No,76.91,615.0,3.53,27504.0,0.85,39.98 +53782,Argentina,2010,Malaria,Autoimmune,13.31,12.51,0.38,19-35,Male,839283,89.51,2.48,3.19,Vaccination,38585.0,Yes,87.45,623.0,9.25,84622.0,0.56,30.97 +53784,Italy,2006,Hypertension,Bacterial,8.38,5.07,6.22,61+,Male,213392,64.56,2.87,6.98,Vaccination,31992.0,No,78.54,2602.0,9.98,4628.0,0.59,89.97 +53788,South Korea,2007,Alzheimer's Disease,Autoimmune,2.28,8.75,3.8,61+,Female,232637,98.91,1.43,9.97,Therapy,4103.0,Yes,60.39,2469.0,5.74,74873.0,0.7,87.62 +53790,Nigeria,2013,Influenza,Neurological,11.12,7.59,7.37,61+,Other,484962,58.25,0.99,1.41,Medication,32132.0,No,56.38,3272.0,6.11,7916.0,0.62,49.78 +53793,South Korea,2003,COVID-19,Respiratory,3.14,11.61,1.74,19-35,Other,829781,67.16,2.59,7.21,Medication,35803.0,No,58.46,2500.0,1.31,65432.0,0.54,63.32 +53801,Brazil,2015,Ebola,Metabolic,13.21,7.49,0.76,19-35,Male,74542,86.6,3.26,1.7,Therapy,30258.0,Yes,74.61,534.0,1.76,3836.0,0.68,37.7 +53802,Germany,2012,Alzheimer's Disease,Chronic,4.0,9.77,7.22,19-35,Other,784719,97.61,1.94,2.05,Therapy,25407.0,Yes,94.28,1056.0,1.06,13528.0,0.6,65.14 +53806,Indonesia,2014,Ebola,Autoimmune,10.59,12.05,9.03,0-18,Male,740792,57.88,3.9,2.23,Vaccination,41669.0,Yes,59.11,4063.0,7.13,6852.0,0.7,73.06 +53809,Nigeria,2013,Dengue,Chronic,15.6,0.12,7.99,19-35,Male,256436,77.25,2.97,5.85,Therapy,39561.0,No,90.63,3125.0,4.7,79161.0,0.74,46.46 +53811,UK,2015,Zika,Bacterial,14.16,11.25,6.96,19-35,Female,773391,60.56,4.59,8.45,Medication,29014.0,No,94.25,2519.0,9.81,10397.0,0.77,75.5 +53818,Indonesia,2021,Rabies,Autoimmune,13.74,7.47,5.38,0-18,Male,534628,94.39,4.98,6.74,Medication,9932.0,Yes,91.14,4076.0,1.71,20933.0,0.48,70.29 +53820,USA,2000,Ebola,Genetic,7.27,14.26,7.91,0-18,Female,889872,76.53,0.88,5.55,Therapy,16662.0,No,87.24,3943.0,1.2,8372.0,0.46,83.63 +53821,Germany,2013,Ebola,Metabolic,12.46,2.2,2.36,0-18,Female,157927,79.78,1.25,6.51,Medication,4550.0,Yes,83.82,1194.0,5.35,56769.0,0.78,65.12 +53822,Japan,2007,Polio,Viral,10.08,0.32,2.29,19-35,Female,579426,58.66,3.68,5.83,Therapy,19407.0,Yes,83.13,3839.0,6.39,21445.0,0.65,59.35 +53823,Italy,2013,Zika,Genetic,9.81,12.85,3.71,0-18,Male,630840,60.86,4.77,4.24,Vaccination,46933.0,No,83.96,2899.0,2.86,17764.0,0.48,28.12 +53825,Russia,2012,Leprosy,Bacterial,11.2,11.41,5.4,36-60,Male,503903,58.43,3.24,5.85,Vaccination,7286.0,No,59.33,3073.0,7.87,57869.0,0.5,77.97 +53826,South Korea,2014,Influenza,Cardiovascular,2.44,8.06,5.18,0-18,Female,350188,79.34,2.76,6.85,Vaccination,7593.0,Yes,91.52,2654.0,6.12,60908.0,0.81,51.87 +53827,South Africa,2005,Tuberculosis,Parasitic,18.62,7.07,4.73,61+,Male,909914,85.33,1.81,9.71,Surgery,49086.0,No,56.19,2255.0,2.78,94288.0,0.6,59.46 +53828,Russia,2010,Ebola,Metabolic,12.37,14.12,8.67,0-18,Female,438950,74.36,2.05,1.05,Medication,4205.0,No,82.05,1126.0,0.84,63190.0,0.78,60.69 +53829,China,2007,COVID-19,Metabolic,10.56,7.73,7.74,0-18,Female,544067,55.7,1.47,5.5,Medication,12875.0,Yes,87.46,1701.0,2.37,86247.0,0.7,57.81 +53830,Japan,2017,Rabies,Chronic,8.77,9.93,0.76,0-18,Female,267949,69.43,1.53,3.79,Therapy,20256.0,No,73.2,580.0,5.04,97263.0,0.86,52.39 +53839,Brazil,2008,Parkinson's Disease,Genetic,16.09,1.89,4.97,0-18,Female,769345,50.9,2.5,5.83,Surgery,35820.0,Yes,60.95,509.0,6.35,4057.0,0.67,67.61 +53844,Germany,2024,Polio,Genetic,0.89,7.5,8.72,61+,Male,684974,93.58,1.2,3.46,Therapy,25648.0,Yes,60.7,1137.0,9.75,31330.0,0.79,71.43 +53853,Russia,2013,Ebola,Neurological,18.51,4.69,2.07,19-35,Male,445793,77.82,1.6,6.62,Vaccination,22511.0,Yes,68.03,3881.0,1.7,1059.0,0.7,87.85 +53857,France,2011,Polio,Parasitic,10.43,4.62,7.82,36-60,Female,636185,57.08,2.14,2.71,Medication,5487.0,Yes,57.35,2259.0,7.86,34497.0,0.87,71.96 +53862,Germany,2002,Hypertension,Parasitic,3.77,8.17,2.24,0-18,Female,598112,73.45,0.52,0.73,Medication,45861.0,No,78.11,3277.0,8.92,43336.0,0.5,33.74 +53863,Nigeria,2003,Asthma,Neurological,9.11,0.6,5.87,19-35,Female,326150,91.79,2.73,2.41,Vaccination,12500.0,No,54.18,4269.0,0.4,90958.0,0.87,44.69 +53867,India,2006,Ebola,Bacterial,14.34,3.23,3.47,61+,Male,625321,84.93,3.51,9.27,Surgery,36850.0,No,57.35,3950.0,5.07,83184.0,0.69,80.64 +53870,Saudi Arabia,2021,Cholera,Autoimmune,2.43,0.97,2.05,19-35,Other,743154,88.41,2.55,8.52,Surgery,33957.0,Yes,79.18,2035.0,0.88,59484.0,0.42,34.57 +53874,Saudi Arabia,2009,Influenza,Chronic,3.07,0.84,6.13,19-35,Other,657011,73.85,3.17,2.67,Vaccination,46286.0,Yes,77.97,1260.0,9.29,65114.0,0.65,67.51 +53875,South Korea,2008,Leprosy,Viral,6.71,7.72,3.28,61+,Female,183876,52.17,4.51,1.66,Therapy,31476.0,No,58.65,3675.0,1.85,5828.0,0.88,29.08 +53877,Italy,2018,Parkinson's Disease,Genetic,18.64,11.06,3.88,0-18,Other,340480,99.74,2.74,1.18,Therapy,41155.0,Yes,53.33,4082.0,1.75,93997.0,0.78,88.82 +53880,Argentina,2016,Influenza,Infectious,16.58,8.46,7.11,36-60,Male,602045,88.31,4.21,4.36,Medication,40201.0,No,93.38,2660.0,2.26,29678.0,0.66,65.7 +53883,China,2007,Cholera,Parasitic,5.48,14.85,1.32,19-35,Other,609273,82.28,2.36,9.23,Vaccination,16256.0,Yes,56.89,3932.0,9.41,35070.0,0.65,28.28 +53891,South Korea,2018,Zika,Viral,17.36,10.87,8.62,0-18,Female,400296,84.13,3.8,3.38,Surgery,18696.0,Yes,57.27,3565.0,4.38,94200.0,0.84,29.12 +53898,Russia,2001,Dengue,Genetic,17.88,5.14,4.84,61+,Other,368809,73.61,2.31,6.65,Vaccination,44202.0,Yes,88.66,4653.0,4.02,39598.0,0.8,89.34 +53905,USA,2012,Hypertension,Infectious,13.21,4.0,9.31,19-35,Female,182962,50.52,3.91,1.62,Vaccination,43265.0,Yes,71.78,1533.0,9.15,25288.0,0.62,51.83 +53906,South Africa,2018,Leprosy,Bacterial,4.45,1.84,4.0,19-35,Other,457932,80.74,1.41,2.36,Therapy,3865.0,No,88.68,3267.0,0.73,98276.0,0.46,56.7 +53910,UK,2008,Malaria,Bacterial,13.85,2.9,2.83,36-60,Male,322489,95.06,3.99,9.04,Vaccination,33311.0,No,94.97,1092.0,3.69,32264.0,0.44,72.03 +53919,Australia,2011,Tuberculosis,Parasitic,12.83,0.47,8.67,19-35,Male,533288,62.73,4.42,7.6,Therapy,44443.0,No,77.61,4192.0,7.3,49369.0,0.67,63.02 +53923,Germany,2018,Influenza,Chronic,18.09,14.18,5.22,36-60,Female,941074,51.47,4.69,5.53,Vaccination,25935.0,Yes,95.4,2724.0,3.34,62056.0,0.66,47.63 +53928,Canada,2020,Alzheimer's Disease,Neurological,8.27,14.02,3.75,36-60,Male,684617,59.61,4.51,1.25,Vaccination,40774.0,No,74.65,92.0,6.29,33660.0,0.45,42.34 +53937,Italy,2015,Parkinson's Disease,Cardiovascular,11.94,6.27,8.59,61+,Female,948203,92.91,4.59,1.97,Vaccination,44182.0,Yes,60.29,2003.0,0.14,16332.0,0.66,62.03 +53938,Nigeria,2017,Leprosy,Viral,1.04,14.69,0.52,0-18,Other,666198,57.59,4.14,9.71,Medication,24694.0,Yes,78.75,695.0,9.27,42689.0,0.8,22.8 +53946,Argentina,2004,Asthma,Infectious,9.06,7.91,2.9,61+,Female,776171,66.63,2.4,9.62,Medication,33623.0,No,51.18,222.0,5.84,71301.0,0.81,85.73 +53948,South Africa,2000,Cancer,Bacterial,6.55,5.82,6.2,61+,Other,871620,53.18,3.82,1.2,Medication,25074.0,Yes,61.37,1443.0,3.82,97152.0,0.78,32.18 +53953,France,2012,Hepatitis,Respiratory,14.04,13.47,9.86,61+,Female,731480,96.45,1.45,8.73,Therapy,21278.0,Yes,54.14,755.0,3.78,50850.0,0.79,66.12 +53963,Brazil,2007,Malaria,Autoimmune,12.45,13.82,8.57,0-18,Male,614033,95.18,1.29,8.19,Vaccination,6676.0,No,63.77,3130.0,0.36,89345.0,0.73,50.19 +53966,Italy,2017,Diabetes,Genetic,13.88,14.16,5.73,0-18,Male,570648,76.74,1.29,6.43,Surgery,18670.0,Yes,74.78,2677.0,3.84,13072.0,0.51,63.98 +53967,South Africa,2003,Alzheimer's Disease,Cardiovascular,14.9,14.57,5.62,61+,Other,663291,89.86,4.8,5.49,Therapy,31794.0,Yes,66.87,4747.0,4.94,94518.0,0.67,79.71 +53971,Indonesia,2010,Cholera,Bacterial,12.02,12.56,3.35,36-60,Female,913374,81.44,2.3,0.81,Therapy,17895.0,No,98.98,4759.0,4.84,34654.0,0.4,88.29 +53977,South Africa,2011,Alzheimer's Disease,Neurological,15.26,5.64,6.89,19-35,Other,46912,88.88,1.75,1.18,Surgery,42067.0,Yes,56.61,700.0,6.31,3185.0,0.75,74.23 +53978,Saudi Arabia,2001,Dengue,Neurological,1.95,14.73,3.32,19-35,Female,523694,73.44,3.61,0.74,Vaccination,2236.0,No,78.11,1996.0,5.75,78711.0,0.46,56.15 +53984,Japan,2023,Influenza,Genetic,5.0,8.79,0.18,0-18,Other,172951,64.27,3.06,6.79,Therapy,48310.0,Yes,51.59,3889.0,0.58,5820.0,0.8,20.63 +53993,USA,2014,Cancer,Bacterial,8.49,3.78,2.33,61+,Other,183999,72.16,1.81,8.1,Medication,2035.0,Yes,98.46,1962.0,8.02,26102.0,0.62,65.85 +53996,Indonesia,2000,Cancer,Viral,9.89,5.93,9.54,0-18,Other,588296,56.88,3.28,7.48,Therapy,9752.0,Yes,88.17,4497.0,4.22,9042.0,0.44,85.78 +53999,Italy,2010,Alzheimer's Disease,Neurological,8.72,10.73,3.2,0-18,Male,997916,72.21,2.26,6.26,Vaccination,30359.0,Yes,60.09,1945.0,2.68,30895.0,0.46,83.46 +54004,Brazil,2008,COVID-19,Genetic,12.4,13.18,1.27,19-35,Female,192793,52.91,4.74,0.74,Surgery,3496.0,Yes,96.92,4365.0,2.39,32576.0,0.53,75.25 +54012,India,2011,Zika,Metabolic,18.34,12.36,8.02,0-18,Other,737379,59.75,2.95,2.17,Therapy,46137.0,Yes,89.44,1705.0,4.11,82311.0,0.76,57.45 +54013,Turkey,2021,Hypertension,Viral,13.9,9.54,5.84,19-35,Female,156876,64.06,3.9,4.6,Therapy,5688.0,Yes,95.56,2212.0,4.48,7883.0,0.66,26.17 +54014,Mexico,2009,Alzheimer's Disease,Infectious,14.84,7.51,9.14,19-35,Female,614086,71.88,4.25,0.67,Surgery,26839.0,No,55.24,2671.0,2.67,48546.0,0.5,88.21 +54019,South Korea,2013,Dengue,Neurological,1.63,13.14,3.23,36-60,Male,633681,81.21,4.3,5.26,Surgery,37448.0,Yes,73.62,609.0,9.21,89856.0,0.74,47.62 +54026,South Africa,2022,COVID-19,Bacterial,4.51,8.3,5.18,61+,Other,479876,91.64,2.82,6.42,Vaccination,38573.0,Yes,87.69,3452.0,7.64,19245.0,0.87,54.56 +54036,Japan,2022,Asthma,Autoimmune,7.01,12.59,6.4,36-60,Other,9005,91.12,1.33,7.14,Vaccination,18817.0,No,62.28,4802.0,6.92,75815.0,0.42,82.25 +54037,Turkey,2008,Polio,Parasitic,11.68,4.84,9.78,36-60,Other,515636,89.89,3.81,4.49,Surgery,39142.0,No,64.82,598.0,6.43,59854.0,0.59,75.73 +54044,France,2004,Polio,Infectious,19.67,6.05,2.54,61+,Female,960088,77.2,2.62,2.09,Medication,24001.0,Yes,97.37,2809.0,4.11,86156.0,0.48,82.71 +54073,Italy,2006,Dengue,Parasitic,11.11,13.57,1.97,19-35,Female,706672,65.2,0.55,6.13,Surgery,27416.0,No,59.42,2646.0,0.44,79071.0,0.56,50.07 +54081,Germany,2010,COVID-19,Neurological,16.86,13.72,6.9,0-18,Male,76327,61.65,1.27,1.53,Surgery,14068.0,Yes,69.34,3239.0,6.41,49219.0,0.71,62.19 +54083,China,2010,Rabies,Chronic,8.36,11.08,7.25,0-18,Other,456070,76.9,2.41,1.56,Surgery,23527.0,Yes,68.61,2270.0,0.54,6531.0,0.45,51.5 +54084,South Africa,2010,Rabies,Viral,14.36,9.82,7.65,19-35,Male,93552,62.65,3.96,4.72,Medication,49187.0,Yes,55.66,4607.0,6.43,58842.0,0.61,54.91 +54086,Japan,2024,HIV/AIDS,Bacterial,19.15,12.4,2.29,0-18,Female,153989,64.86,3.48,3.19,Vaccination,45900.0,Yes,87.81,994.0,8.4,7492.0,0.88,25.79 +54091,Mexico,2018,Diabetes,Respiratory,3.25,7.66,2.27,61+,Male,101759,75.69,4.53,2.4,Surgery,13454.0,No,83.93,451.0,7.43,58240.0,0.68,20.8 +54092,South Korea,2007,Zika,Chronic,4.88,13.23,0.5,36-60,Female,842497,51.28,0.54,2.61,Surgery,36865.0,No,72.55,4233.0,1.14,76408.0,0.76,64.36 +54093,Germany,2010,Tuberculosis,Genetic,19.99,10.83,3.94,36-60,Male,715693,73.04,2.28,9.33,Vaccination,17348.0,No,69.7,2855.0,2.8,35171.0,0.75,37.0 +54105,Germany,2024,Zika,Metabolic,5.9,9.91,9.05,0-18,Other,467596,81.91,4.43,5.74,Medication,37847.0,No,66.6,1774.0,6.27,78185.0,0.42,43.98 +54108,China,2010,Tuberculosis,Cardiovascular,12.35,8.81,4.23,61+,Male,528536,97.75,0.8,3.2,Therapy,35071.0,No,63.33,817.0,2.25,37452.0,0.82,69.41 +54109,Argentina,2019,Influenza,Parasitic,7.16,10.65,9.57,36-60,Male,379175,63.86,1.74,6.13,Vaccination,8168.0,Yes,64.62,3682.0,1.27,64204.0,0.82,34.49 +54117,South Africa,2010,Diabetes,Neurological,10.18,3.5,7.18,0-18,Male,410940,51.28,2.94,6.35,Therapy,47438.0,Yes,89.25,427.0,8.11,4600.0,0.72,79.52 +54119,USA,2012,Ebola,Autoimmune,16.18,10.72,0.3,0-18,Female,906997,99.47,3.82,2.07,Vaccination,33654.0,Yes,70.15,2845.0,2.04,22240.0,0.61,49.27 +54121,Germany,2014,HIV/AIDS,Viral,6.31,4.41,5.87,0-18,Other,605898,63.61,4.2,4.82,Medication,30870.0,No,58.89,1491.0,9.9,47784.0,0.55,49.88 +54126,India,2012,Cancer,Viral,19.41,1.47,3.56,61+,Female,418261,60.66,2.54,6.81,Vaccination,47811.0,No,54.04,524.0,3.35,41999.0,0.68,65.92 +54147,Canada,2018,Hepatitis,Autoimmune,9.88,8.82,10.0,61+,Male,899135,54.64,4.68,6.86,Vaccination,48172.0,No,92.06,4498.0,2.53,38485.0,0.49,71.69 +54149,Russia,2020,Hepatitis,Infectious,5.82,12.17,0.52,19-35,Female,896453,91.14,0.76,8.89,Therapy,11443.0,Yes,66.88,1714.0,6.17,68945.0,0.53,79.07 +54150,France,2022,Measles,Bacterial,11.22,9.62,5.14,61+,Female,198267,72.57,1.89,9.52,Medication,42652.0,No,68.82,2588.0,4.67,83187.0,0.89,63.6 +54151,Mexico,2024,Cancer,Autoimmune,5.67,7.2,8.49,19-35,Female,456848,59.16,3.08,9.96,Therapy,36481.0,Yes,79.77,2698.0,1.58,56927.0,0.47,59.47 +54153,India,2017,Zika,Viral,6.93,5.61,2.13,36-60,Female,84290,97.71,0.91,1.91,Vaccination,21875.0,No,75.68,3485.0,8.8,73830.0,0.78,48.03 +54164,UK,2013,Measles,Genetic,7.05,1.16,4.04,19-35,Male,516895,77.63,4.64,5.58,Vaccination,43990.0,No,60.27,4462.0,5.8,44236.0,0.47,34.02 +54168,Italy,2018,Hepatitis,Viral,9.89,0.25,6.71,0-18,Other,301349,98.68,3.13,4.5,Therapy,20141.0,No,58.57,4291.0,5.88,38292.0,0.81,60.37 +54171,Russia,2006,Leprosy,Viral,2.28,5.12,3.66,61+,Other,496712,86.58,3.26,6.53,Therapy,13740.0,Yes,92.7,594.0,3.22,72281.0,0.56,44.33 +54175,Brazil,2001,Rabies,Autoimmune,1.4,5.3,0.49,19-35,Other,564116,90.65,3.84,9.84,Medication,30330.0,Yes,86.18,1203.0,4.57,15092.0,0.88,80.72 +54176,Japan,2002,Ebola,Autoimmune,1.19,8.36,7.91,0-18,Female,474685,94.63,3.76,1.32,Vaccination,7918.0,Yes,87.65,4358.0,3.34,68314.0,0.88,76.09 +54181,Australia,2005,Malaria,Respiratory,8.16,11.12,2.31,61+,Male,115515,57.14,1.6,7.6,Therapy,17328.0,No,68.4,3829.0,9.84,76923.0,0.57,28.88 +54183,Australia,2013,Zika,Cardiovascular,2.31,10.43,3.36,19-35,Female,989697,71.28,3.47,4.35,Therapy,49258.0,Yes,61.9,3160.0,7.02,67951.0,0.41,63.42 +54193,Japan,2008,Parkinson's Disease,Viral,9.79,7.7,5.63,19-35,Female,443168,81.15,1.36,1.03,Surgery,13706.0,No,77.47,2066.0,0.85,74134.0,0.61,45.35 +54209,Turkey,2006,Zika,Bacterial,17.48,14.23,0.38,19-35,Female,79780,60.03,2.63,7.1,Vaccination,37879.0,No,82.17,746.0,0.24,66895.0,0.86,57.57 +54213,Germany,2010,Malaria,Cardiovascular,16.8,13.68,0.17,0-18,Female,156769,94.59,4.33,5.58,Therapy,13145.0,Yes,59.33,2788.0,9.93,68008.0,0.58,44.3 +54222,Germany,2000,Polio,Infectious,8.72,9.84,8.54,0-18,Male,61840,65.4,2.54,4.53,Therapy,30553.0,No,61.67,904.0,1.54,94241.0,0.64,23.04 +54227,Japan,2014,Ebola,Viral,4.36,13.77,9.39,0-18,Female,252681,55.11,4.75,2.62,Therapy,3741.0,No,75.11,2790.0,3.92,20568.0,0.59,34.43 +54232,USA,2013,Hepatitis,Metabolic,2.58,6.54,5.76,19-35,Male,373465,92.24,4.02,8.87,Vaccination,37447.0,No,57.51,4441.0,7.84,39853.0,0.74,24.73 +54234,Indonesia,2019,Ebola,Chronic,15.28,2.71,5.26,61+,Male,388043,89.19,4.98,3.67,Vaccination,49935.0,Yes,81.73,2758.0,3.73,44300.0,0.81,48.6 +54237,Nigeria,2017,Dengue,Genetic,9.21,1.67,0.63,61+,Other,664366,84.62,0.88,9.97,Vaccination,26952.0,No,86.48,3964.0,8.55,6508.0,0.66,22.47 +54238,China,2001,Cholera,Autoimmune,11.04,11.36,4.9,19-35,Other,424153,62.58,4.04,2.95,Vaccination,16028.0,No,50.96,4054.0,8.57,78534.0,0.43,66.53 +54242,Italy,2015,Hypertension,Viral,16.06,0.14,1.03,61+,Female,123403,94.19,3.52,7.35,Medication,15396.0,No,69.32,529.0,5.17,18221.0,0.78,26.88 +54253,Brazil,2018,Cholera,Infectious,7.97,2.91,4.82,19-35,Male,358619,51.11,0.5,7.14,Surgery,31800.0,Yes,77.83,2048.0,0.11,32781.0,0.67,61.24 +54255,Germany,2015,Cholera,Neurological,12.56,10.62,1.42,19-35,Male,974240,86.85,3.82,6.89,Vaccination,3727.0,No,50.36,2939.0,9.46,60328.0,0.57,80.31 +54256,USA,2013,Hepatitis,Autoimmune,15.38,1.3,3.17,19-35,Female,820287,66.82,0.85,3.73,Vaccination,35981.0,No,91.17,2577.0,3.77,96764.0,0.81,82.41 +54257,Australia,2010,Alzheimer's Disease,Neurological,0.37,7.28,5.38,0-18,Female,428878,97.25,3.6,5.99,Medication,25362.0,No,51.44,767.0,9.85,10282.0,0.74,79.0 +54261,Italy,2007,Cholera,Cardiovascular,3.69,14.17,7.72,19-35,Other,699362,67.26,2.24,2.05,Medication,33516.0,No,72.84,4085.0,8.75,26468.0,0.47,85.84 +54262,Nigeria,2004,Influenza,Neurological,8.25,4.49,7.53,36-60,Male,779291,87.52,1.81,1.2,Surgery,16213.0,No,66.07,1934.0,2.25,29337.0,0.59,59.42 +54269,Russia,2008,Parkinson's Disease,Chronic,10.91,0.66,4.63,19-35,Male,466191,80.78,1.21,1.52,Therapy,1783.0,No,59.27,4706.0,0.77,8656.0,0.67,25.95 +54272,South Korea,2011,Hypertension,Cardiovascular,17.66,14.75,4.75,0-18,Male,954330,55.78,3.42,9.1,Surgery,23355.0,Yes,95.77,1704.0,7.97,48015.0,0.47,76.97 +54293,India,2021,Diabetes,Respiratory,1.54,11.38,3.24,36-60,Other,577935,70.69,3.1,4.73,Vaccination,31176.0,Yes,54.28,4176.0,7.48,10521.0,0.73,53.46 +54298,Mexico,2020,Leprosy,Cardiovascular,15.03,13.06,3.46,0-18,Male,770639,88.11,3.08,9.82,Surgery,42040.0,No,92.03,3038.0,6.55,18498.0,0.67,86.57 +54301,Argentina,2020,Asthma,Parasitic,14.18,0.75,3.36,19-35,Male,245009,64.91,0.89,5.29,Therapy,3140.0,Yes,97.64,4487.0,3.07,3636.0,0.48,55.29 +54302,Indonesia,2023,COVID-19,Autoimmune,17.82,8.38,8.36,61+,Female,215126,54.96,2.56,9.36,Vaccination,10177.0,No,95.96,3217.0,5.13,86492.0,0.73,71.95 +54303,Argentina,2016,Malaria,Autoimmune,18.01,1.53,8.53,36-60,Male,334552,82.36,2.25,9.55,Therapy,17847.0,Yes,54.73,3701.0,3.14,18659.0,0.53,49.74 +54314,South Africa,2017,HIV/AIDS,Chronic,12.17,8.65,5.03,36-60,Male,286944,78.28,4.96,7.04,Vaccination,46036.0,No,61.79,2162.0,4.69,5014.0,0.76,87.76 +54316,Russia,2008,Alzheimer's Disease,Genetic,12.14,9.09,9.74,61+,Other,365885,71.37,1.95,8.35,Medication,15720.0,Yes,58.52,312.0,7.11,50633.0,0.65,72.16 +54317,France,2000,Ebola,Neurological,15.11,1.85,8.29,36-60,Female,427095,84.62,2.83,7.88,Vaccination,10460.0,Yes,60.29,1439.0,1.16,96178.0,0.76,63.26 +54321,Canada,2023,Zika,Infectious,1.58,3.64,2.18,19-35,Female,104221,52.97,0.67,1.86,Therapy,34718.0,Yes,61.6,2321.0,6.27,48830.0,0.66,35.46 +54323,South Africa,2006,Cholera,Parasitic,16.92,5.87,3.21,36-60,Male,766373,81.56,2.37,5.64,Medication,8299.0,No,50.79,556.0,2.43,86223.0,0.83,25.28 +54330,India,2022,Measles,Autoimmune,8.74,9.5,9.49,19-35,Female,708910,61.52,2.11,1.62,Vaccination,29729.0,No,53.37,3381.0,2.19,50339.0,0.75,29.03 +54333,Indonesia,2012,Tuberculosis,Chronic,11.02,9.78,4.37,61+,Female,308132,51.35,2.2,5.35,Surgery,10984.0,No,94.99,240.0,3.69,72575.0,0.41,34.17 +54341,Turkey,2008,Rabies,Parasitic,14.02,12.31,6.38,0-18,Other,782938,64.29,3.74,8.2,Therapy,33062.0,No,62.54,3728.0,0.48,15231.0,0.69,84.88 +54342,Brazil,2005,Malaria,Infectious,18.56,9.5,2.77,36-60,Male,764095,79.54,3.34,8.31,Medication,8012.0,No,61.63,3036.0,3.47,97073.0,0.41,83.25 +54346,Brazil,2017,Dengue,Neurological,0.42,2.73,3.11,19-35,Female,193049,58.77,2.22,8.22,Vaccination,18523.0,Yes,81.04,982.0,8.23,93089.0,0.44,70.02 +54348,Italy,2024,Leprosy,Respiratory,4.77,7.53,5.37,0-18,Other,591093,84.24,3.98,2.45,Vaccination,46287.0,Yes,80.82,3042.0,1.45,36875.0,0.75,25.68 +54350,Turkey,2010,Ebola,Genetic,4.6,0.83,3.16,19-35,Male,24617,84.54,1.19,5.37,Medication,46274.0,No,59.7,4959.0,3.71,21129.0,0.58,87.2 +54352,India,2009,Influenza,Genetic,0.29,1.24,2.01,36-60,Female,566783,73.32,0.75,7.82,Therapy,1598.0,Yes,98.33,433.0,9.55,18488.0,0.89,80.52 +54362,Indonesia,2007,Malaria,Viral,1.88,3.43,0.56,61+,Male,9350,54.16,2.34,9.38,Surgery,14723.0,No,69.69,233.0,9.48,5459.0,0.42,77.41 +54370,Saudi Arabia,2005,Malaria,Chronic,2.04,5.93,3.26,36-60,Male,351126,93.49,2.35,1.21,Therapy,9472.0,Yes,84.4,251.0,1.2,69799.0,0.57,54.36 +54375,Nigeria,2022,Ebola,Viral,11.77,14.22,6.49,61+,Male,568569,86.99,0.8,6.67,Medication,44645.0,No,83.52,2125.0,9.6,66681.0,0.79,65.08 +54381,South Africa,2019,Cholera,Infectious,14.76,0.56,6.28,19-35,Other,528775,72.25,1.11,1.56,Vaccination,16913.0,No,55.11,2948.0,1.63,1197.0,0.79,68.9 +54382,Australia,2007,Cholera,Bacterial,14.19,12.32,4.45,36-60,Female,87666,83.47,3.5,4.41,Vaccination,8390.0,Yes,59.0,20.0,3.68,79997.0,0.54,79.71 +54385,Brazil,2008,Influenza,Viral,17.75,7.25,8.53,61+,Male,465328,90.09,3.69,6.29,Medication,22500.0,No,55.16,4599.0,3.66,35968.0,0.54,24.51 +54387,Mexico,2018,Zika,Bacterial,8.17,5.08,2.7,61+,Other,831403,87.76,0.58,4.66,Medication,31645.0,No,92.95,78.0,6.76,9015.0,0.58,52.72 +54388,Germany,2010,Alzheimer's Disease,Respiratory,12.57,4.91,5.58,19-35,Female,325425,95.5,2.29,7.16,Surgery,22744.0,No,69.13,156.0,2.88,41593.0,0.9,49.64 +54392,South Korea,2012,Influenza,Genetic,3.48,14.73,6.74,61+,Female,154101,85.72,1.9,2.72,Therapy,27993.0,No,56.79,4060.0,6.39,31083.0,0.74,32.45 +54393,USA,2009,Tuberculosis,Chronic,6.63,1.05,8.35,19-35,Other,838748,52.72,0.88,5.88,Vaccination,30603.0,Yes,57.79,4005.0,1.18,70178.0,0.51,84.92 +54402,USA,2003,Hepatitis,Neurological,5.7,6.34,4.18,61+,Male,270250,93.53,2.33,3.54,Vaccination,29178.0,No,56.61,2386.0,3.08,53587.0,0.47,50.89 +54404,France,2022,Leprosy,Parasitic,4.64,7.16,3.25,0-18,Other,864588,60.41,1.01,2.42,Therapy,46012.0,Yes,70.79,508.0,0.96,57045.0,0.81,75.25 +54417,China,2012,Alzheimer's Disease,Respiratory,17.1,6.67,7.67,19-35,Male,474521,65.25,1.3,5.98,Therapy,40306.0,Yes,73.42,573.0,7.48,94765.0,0.78,68.2 +54418,China,2012,Zika,Parasitic,8.87,3.91,1.51,36-60,Female,962640,58.25,3.0,9.64,Vaccination,2473.0,No,59.21,44.0,9.18,92874.0,0.43,64.46 +54420,France,2024,Hepatitis,Autoimmune,2.38,12.92,4.74,0-18,Other,696677,57.56,1.21,1.02,Medication,23465.0,Yes,87.75,1864.0,5.77,5950.0,0.68,24.58 +54421,Canada,2021,COVID-19,Cardiovascular,7.99,12.68,8.52,0-18,Other,697749,67.1,1.91,8.66,Surgery,3355.0,No,76.49,687.0,7.59,69235.0,0.77,60.23 +54426,Mexico,2023,Rabies,Parasitic,14.67,1.35,4.7,0-18,Female,297658,55.57,2.66,9.29,Therapy,20716.0,Yes,81.48,3374.0,4.65,48796.0,0.43,70.93 +54430,South Korea,2014,Zika,Genetic,17.4,5.39,9.04,19-35,Female,942463,93.12,3.69,2.08,Vaccination,16420.0,No,81.02,4529.0,4.41,30175.0,0.74,62.89 +54445,Mexico,2002,Polio,Metabolic,11.77,9.82,4.61,19-35,Other,479392,65.34,3.01,9.72,Medication,29713.0,Yes,92.33,2789.0,3.99,89298.0,0.67,54.73 +54448,Canada,2018,Measles,Metabolic,14.66,13.06,0.81,0-18,Other,879576,94.05,0.79,2.98,Surgery,12659.0,Yes,85.54,3526.0,1.71,35939.0,0.53,39.81 +54452,USA,2011,Ebola,Chronic,8.61,7.65,2.46,0-18,Other,644784,68.53,1.85,5.82,Vaccination,12242.0,No,59.49,3607.0,3.51,99220.0,0.74,26.73 +54453,South Korea,2012,Tuberculosis,Infectious,15.14,5.09,7.24,61+,Male,114943,62.35,3.07,4.57,Therapy,11248.0,No,63.29,3993.0,5.51,33891.0,0.59,27.55 +54459,Indonesia,2013,HIV/AIDS,Genetic,0.77,11.47,4.56,36-60,Other,506890,69.39,2.07,8.26,Therapy,28816.0,Yes,58.72,1226.0,5.36,52479.0,0.47,34.37 +54464,Argentina,2006,COVID-19,Infectious,8.31,5.82,8.82,36-60,Male,410012,72.2,4.61,1.67,Surgery,21574.0,No,67.47,532.0,5.5,20671.0,0.87,30.06 +54472,USA,2001,Leprosy,Viral,14.97,2.77,2.59,36-60,Male,195609,60.75,1.32,8.81,Therapy,38233.0,No,58.56,3812.0,8.33,77267.0,0.7,68.26 +54473,Argentina,2014,Leprosy,Metabolic,1.55,10.8,8.25,19-35,Female,72894,96.85,3.13,3.31,Medication,8778.0,No,58.7,3364.0,1.71,84232.0,0.87,64.41 +54489,France,2018,Cholera,Metabolic,9.42,1.79,3.95,19-35,Other,277476,83.8,2.0,1.74,Surgery,17728.0,No,66.65,98.0,3.8,34695.0,0.9,41.81 +54490,China,2024,COVID-19,Infectious,0.91,11.51,3.8,0-18,Female,167012,52.69,0.53,6.84,Surgery,17417.0,No,89.58,2948.0,4.02,88488.0,0.61,35.31 +54501,Mexico,2004,COVID-19,Cardiovascular,7.83,2.39,6.93,19-35,Male,204151,62.79,1.18,1.12,Therapy,26551.0,Yes,94.76,2619.0,6.33,2479.0,0.69,56.09 +54506,Brazil,2009,Cancer,Parasitic,3.84,9.35,7.7,19-35,Female,460961,61.49,2.14,1.27,Surgery,45935.0,Yes,83.49,1019.0,5.86,57604.0,0.72,58.47 +54516,South Korea,2015,Polio,Bacterial,6.99,0.32,0.12,19-35,Other,963150,94.31,3.06,2.73,Surgery,20895.0,No,55.91,2543.0,2.92,8710.0,0.53,31.67 +54519,Brazil,2023,Zika,Infectious,14.17,7.83,1.17,36-60,Male,136850,63.6,1.8,7.78,Surgery,33835.0,Yes,68.05,4305.0,1.26,77532.0,0.73,22.82 +54521,China,2001,Measles,Parasitic,14.37,1.78,7.95,0-18,Male,799340,72.72,2.47,8.39,Vaccination,21580.0,Yes,61.61,1638.0,3.44,72505.0,0.78,42.28 +54524,South Africa,2019,Asthma,Cardiovascular,13.0,3.41,7.61,0-18,Other,293950,62.64,0.64,9.59,Therapy,6205.0,No,74.49,2512.0,4.45,59040.0,0.56,29.76 +54526,South Korea,2007,Leprosy,Autoimmune,10.11,14.3,9.92,0-18,Other,267146,74.77,4.11,9.59,Therapy,22329.0,Yes,56.24,272.0,7.52,18274.0,0.7,81.16 +54541,China,2023,Influenza,Autoimmune,8.53,14.31,9.62,36-60,Female,434858,94.78,4.89,6.24,Surgery,322.0,No,94.2,2614.0,7.74,57208.0,0.74,72.48 +54547,Mexico,2009,Hypertension,Bacterial,5.62,6.75,1.34,61+,Other,325938,76.54,2.29,8.12,Vaccination,1800.0,Yes,71.04,4481.0,1.99,48677.0,0.41,55.94 +54549,Canada,2021,Rabies,Metabolic,8.13,8.28,5.62,19-35,Male,879175,65.4,4.06,9.86,Surgery,29478.0,No,76.56,3098.0,9.53,68193.0,0.64,21.17 +54558,Russia,2020,Influenza,Autoimmune,17.64,2.2,8.62,0-18,Male,411136,95.71,2.8,3.29,Surgery,32111.0,Yes,97.73,3696.0,8.39,70762.0,0.7,35.45 +54561,USA,2018,Cholera,Bacterial,18.02,4.92,7.18,61+,Other,719504,86.07,2.27,0.6,Vaccination,32813.0,No,66.56,3509.0,3.31,65043.0,0.72,43.23 +54562,Australia,2017,Influenza,Respiratory,18.61,2.02,3.42,0-18,Other,356911,50.72,4.31,3.1,Vaccination,1947.0,Yes,57.56,3417.0,7.69,59597.0,0.78,55.86 +54566,Germany,2023,Tuberculosis,Respiratory,11.35,3.41,8.25,19-35,Female,436381,63.98,4.88,2.11,Vaccination,34693.0,Yes,70.86,3335.0,9.82,30084.0,0.81,88.9 +54568,China,2024,HIV/AIDS,Respiratory,7.79,13.34,2.9,36-60,Other,150761,51.83,3.85,2.6,Surgery,1486.0,No,83.95,302.0,0.02,80417.0,0.48,26.25 +54575,Australia,2000,Parkinson's Disease,Neurological,14.77,3.45,0.93,61+,Female,777881,80.04,0.82,8.39,Therapy,40472.0,Yes,51.43,4840.0,1.15,3788.0,0.75,87.62 +54578,China,2000,Leprosy,Autoimmune,6.33,8.57,5.51,36-60,Male,924653,58.37,1.5,1.11,Surgery,33308.0,No,60.18,3118.0,4.17,82953.0,0.66,82.12 +54579,South Korea,2007,Cholera,Cardiovascular,13.51,9.02,7.46,0-18,Male,783727,89.14,1.98,8.26,Medication,33551.0,No,68.05,1949.0,3.27,99669.0,0.58,79.93 +54580,Canada,2011,Influenza,Neurological,6.49,14.35,4.25,36-60,Other,470295,95.3,4.89,9.99,Surgery,7019.0,Yes,64.99,242.0,9.41,43396.0,0.79,64.75 +54586,UK,2014,Hypertension,Autoimmune,13.91,8.21,0.75,19-35,Other,106535,99.74,1.1,2.42,Medication,16394.0,No,56.57,2949.0,6.64,16490.0,0.5,38.65 +54592,France,2021,Hepatitis,Cardiovascular,1.82,0.73,7.65,61+,Male,156348,51.54,2.71,3.41,Surgery,2565.0,Yes,56.22,3840.0,7.5,93632.0,0.59,64.93 +54594,Germany,2024,Rabies,Infectious,10.55,2.12,8.69,36-60,Female,511954,82.81,2.57,4.69,Therapy,2671.0,Yes,94.54,578.0,0.54,8487.0,0.57,81.57 +54595,Saudi Arabia,2020,Zika,Metabolic,2.29,7.2,8.0,19-35,Other,848164,55.73,0.69,1.01,Therapy,36652.0,No,77.34,4650.0,1.9,8282.0,0.45,20.83 +54597,Japan,2011,Rabies,Cardiovascular,14.19,0.14,1.86,61+,Female,532409,58.95,4.64,7.99,Therapy,4232.0,No,93.26,911.0,5.51,42694.0,0.63,33.72 +54605,Nigeria,2000,Zika,Respiratory,10.2,11.9,1.32,61+,Female,523377,76.16,0.88,2.36,Medication,44231.0,No,66.86,3574.0,1.64,46911.0,0.61,23.44 +54620,Brazil,2023,COVID-19,Bacterial,10.99,12.04,4.38,0-18,Other,455173,83.14,0.64,2.39,Medication,15750.0,No,72.97,1776.0,0.36,17726.0,0.53,89.27 +54633,Indonesia,2003,Malaria,Metabolic,1.08,12.61,0.3,61+,Female,305944,72.71,2.22,0.89,Therapy,24498.0,Yes,85.45,3789.0,9.7,48137.0,0.86,84.76 +54640,India,2020,Rabies,Neurological,9.92,5.74,1.46,0-18,Female,665777,52.59,1.08,2.88,Medication,21093.0,Yes,66.41,1036.0,6.38,86366.0,0.89,81.44 +54654,Indonesia,2009,Leprosy,Parasitic,19.67,0.93,8.67,0-18,Other,788290,73.97,1.88,0.87,Therapy,33494.0,Yes,55.76,811.0,3.0,50809.0,0.87,29.19 +54662,USA,2010,Measles,Metabolic,13.69,14.99,7.9,0-18,Male,746107,62.88,3.29,1.77,Medication,41755.0,Yes,93.6,4485.0,4.85,41442.0,0.74,45.57 +54667,Argentina,2011,Leprosy,Cardiovascular,5.53,14.37,1.32,61+,Male,634701,70.93,1.62,9.59,Therapy,35655.0,Yes,50.69,1869.0,4.63,29333.0,0.42,51.45 +54677,Argentina,2015,Cholera,Genetic,3.81,9.27,2.35,36-60,Other,137814,70.28,4.63,6.71,Medication,16198.0,No,53.0,2295.0,7.01,98337.0,0.74,59.48 +54678,USA,2007,COVID-19,Bacterial,9.0,6.71,8.21,0-18,Male,443529,78.46,2.71,3.55,Medication,37254.0,No,65.07,4351.0,4.5,4258.0,0.49,32.97 +54696,Argentina,2007,Malaria,Viral,15.62,1.66,1.31,0-18,Male,173896,63.42,1.04,1.95,Medication,2537.0,Yes,64.8,4215.0,1.77,91332.0,0.68,84.46 +54700,South Korea,2020,Rabies,Cardiovascular,18.69,5.89,6.49,19-35,Male,718304,63.22,1.14,4.89,Medication,14552.0,Yes,84.31,4351.0,4.31,74902.0,0.87,55.14 +54703,South Africa,2008,HIV/AIDS,Cardiovascular,6.54,7.52,3.24,61+,Other,238948,62.98,0.92,2.5,Vaccination,30927.0,Yes,64.57,3456.0,2.88,71857.0,0.53,88.27 +54723,UK,2004,Influenza,Parasitic,6.27,10.55,5.9,0-18,Other,615141,51.52,4.46,4.36,Therapy,8923.0,Yes,81.66,4163.0,3.81,18234.0,0.58,80.2 +54725,South Africa,2013,Hepatitis,Parasitic,3.96,4.71,9.65,0-18,Other,300572,80.5,3.55,9.36,Therapy,33045.0,Yes,72.17,2823.0,2.75,19754.0,0.69,46.92 +54734,South Africa,2020,Measles,Autoimmune,15.11,14.79,6.3,61+,Female,186520,76.02,0.7,1.15,Vaccination,45796.0,No,64.17,2920.0,9.4,97748.0,0.54,40.15 +54739,South Korea,2000,Hepatitis,Bacterial,1.97,11.15,2.65,61+,Male,444262,68.95,2.91,2.46,Surgery,38417.0,No,63.53,3757.0,7.96,14746.0,0.54,60.49 +54742,Argentina,2001,Leprosy,Parasitic,2.45,7.69,1.52,19-35,Other,284778,95.49,0.53,7.76,Vaccination,33033.0,Yes,68.9,747.0,8.56,77599.0,0.77,67.34 +54747,France,2019,Alzheimer's Disease,Parasitic,7.5,2.45,2.04,61+,Other,134009,61.78,2.22,1.17,Medication,40207.0,Yes,56.74,3076.0,0.08,99638.0,0.81,57.63 +54753,USA,2011,Malaria,Viral,12.6,13.92,9.05,36-60,Female,44443,61.77,3.4,9.84,Medication,26305.0,No,53.73,3457.0,7.05,54705.0,0.51,76.04 +54764,USA,2015,Dengue,Cardiovascular,15.44,8.13,7.01,19-35,Female,923583,73.92,3.63,4.21,Medication,27867.0,No,89.48,2993.0,0.42,37404.0,0.64,35.63 +54768,Indonesia,2022,COVID-19,Respiratory,18.91,7.52,5.53,61+,Male,82314,88.65,4.25,4.22,Surgery,1200.0,Yes,60.95,1421.0,1.51,46974.0,0.81,43.88 +54770,UK,2016,Influenza,Cardiovascular,4.55,1.59,6.47,19-35,Female,761769,52.07,2.89,8.86,Medication,10974.0,No,50.14,2791.0,8.22,97338.0,0.5,82.89 +54772,Japan,2022,Hypertension,Metabolic,6.04,14.91,3.05,19-35,Other,621395,94.35,1.7,6.01,Therapy,12721.0,Yes,76.53,1306.0,6.74,17765.0,0.56,74.44 +54773,USA,2000,Polio,Parasitic,15.13,13.73,3.87,61+,Male,559763,57.13,2.95,6.45,Therapy,25589.0,No,94.33,3594.0,4.1,1049.0,0.57,45.72 +54774,Japan,2006,Diabetes,Bacterial,16.64,5.76,6.02,61+,Female,1271,61.16,0.75,4.3,Surgery,3593.0,Yes,54.26,2828.0,7.34,68048.0,0.76,72.75 +54776,France,2020,Influenza,Bacterial,14.96,7.32,9.9,19-35,Other,96994,95.81,3.89,6.52,Therapy,3392.0,Yes,58.22,3092.0,4.89,26017.0,0.73,42.99 +54780,Mexico,2007,Zika,Respiratory,1.75,7.58,3.37,36-60,Female,354441,92.98,4.06,0.68,Therapy,1704.0,No,92.43,1946.0,4.18,81088.0,0.83,71.22 +54783,USA,2001,Rabies,Parasitic,3.03,14.49,6.32,36-60,Female,902123,93.9,3.23,8.67,Therapy,49745.0,No,62.1,423.0,0.89,16151.0,0.6,39.82 +54793,South Africa,2009,Alzheimer's Disease,Chronic,12.08,8.5,3.49,0-18,Female,772125,80.09,2.95,1.32,Medication,8017.0,No,65.23,3240.0,1.88,5342.0,0.79,73.17 +54795,South Korea,2021,Diabetes,Neurological,18.83,6.67,6.92,0-18,Female,567787,66.37,2.49,5.35,Medication,31999.0,Yes,70.89,4200.0,3.37,5230.0,0.41,74.59 +54802,Nigeria,2007,Leprosy,Infectious,12.09,0.8,3.04,0-18,Male,978571,58.17,1.43,4.32,Surgery,8942.0,No,70.95,2396.0,4.15,80843.0,0.83,78.58 +54804,Australia,2006,Measles,Cardiovascular,7.54,11.51,2.02,61+,Other,668260,50.55,2.29,6.57,Surgery,47796.0,No,69.73,4398.0,2.07,88800.0,0.58,52.78 +54808,USA,2005,Cholera,Parasitic,8.47,8.63,7.48,19-35,Male,362987,54.81,1.0,9.24,Medication,4523.0,Yes,61.84,3355.0,0.5,88952.0,0.66,43.31 +54813,USA,2016,Hepatitis,Chronic,3.89,6.87,4.3,0-18,Male,333120,94.18,3.86,6.61,Therapy,28362.0,Yes,93.43,602.0,1.86,89964.0,0.7,31.4 +54815,China,2019,Influenza,Parasitic,8.36,6.28,8.3,36-60,Other,853843,68.21,3.6,3.22,Surgery,23807.0,No,75.87,4388.0,3.72,89563.0,0.7,34.66 +54817,Indonesia,2023,Cholera,Genetic,7.29,13.29,3.27,0-18,Other,925589,81.35,2.12,3.48,Vaccination,30654.0,Yes,82.16,1411.0,7.64,91557.0,0.86,20.7 +54831,Mexico,2020,Ebola,Metabolic,18.53,7.26,8.73,19-35,Male,673433,91.85,2.02,8.78,Surgery,3200.0,No,69.65,3198.0,4.92,42941.0,0.54,83.52 +54844,Australia,2011,COVID-19,Parasitic,13.1,11.32,4.66,19-35,Male,453948,70.41,4.92,3.26,Vaccination,27055.0,No,88.77,1472.0,3.32,94011.0,0.42,31.09 +54849,UK,2008,Leprosy,Metabolic,3.01,6.03,9.69,61+,Other,790827,99.79,2.3,9.19,Therapy,39790.0,No,91.35,2213.0,1.05,75495.0,0.8,52.97 +54850,South Africa,2018,COVID-19,Neurological,2.26,11.35,5.73,36-60,Male,378853,87.9,4.96,1.5,Therapy,42495.0,No,55.08,622.0,8.1,34228.0,0.55,37.33 +54856,China,2002,Leprosy,Respiratory,11.63,2.42,7.68,0-18,Male,485608,91.47,1.5,0.83,Vaccination,30333.0,Yes,52.74,2208.0,7.99,17079.0,0.56,46.2 +54865,France,2017,Malaria,Viral,3.32,5.14,3.3,0-18,Female,984026,60.69,0.83,5.34,Surgery,27988.0,Yes,70.27,1875.0,2.01,65930.0,0.78,44.42 +54866,France,2023,Measles,Bacterial,13.78,2.38,4.52,61+,Female,547214,73.17,0.54,8.79,Surgery,19333.0,No,53.57,4861.0,3.75,79692.0,0.51,65.79 +54872,South Korea,2001,Alzheimer's Disease,Autoimmune,14.96,7.75,3.02,61+,Male,847291,93.19,1.89,8.74,Vaccination,42315.0,Yes,97.45,3223.0,2.74,42147.0,0.7,36.0 +54875,Germany,2024,Hypertension,Bacterial,13.6,7.23,3.46,19-35,Other,188956,78.55,0.92,6.01,Medication,23950.0,No,74.4,2826.0,4.15,8591.0,0.52,51.45 +54877,India,2012,Tuberculosis,Bacterial,16.74,1.66,9.21,0-18,Female,603707,86.63,3.07,8.48,Vaccination,3786.0,Yes,63.76,3846.0,1.07,26588.0,0.88,83.42 +54896,USA,2015,Polio,Autoimmune,17.71,8.34,6.02,36-60,Male,627885,90.9,3.74,3.96,Surgery,12947.0,No,88.65,1225.0,8.61,29767.0,0.79,74.49 +54913,UK,2016,Malaria,Cardiovascular,16.48,11.49,0.82,19-35,Female,625605,94.58,2.19,4.16,Therapy,41907.0,No,92.22,3921.0,2.73,55082.0,0.47,74.16 +54916,Japan,2024,Dengue,Cardiovascular,13.43,1.69,8.4,19-35,Female,510300,79.0,1.67,5.26,Medication,13865.0,Yes,64.59,4825.0,3.48,38546.0,0.73,37.17 +54923,Argentina,2011,Cholera,Neurological,16.17,5.45,6.92,36-60,Female,658352,91.87,3.07,6.31,Surgery,23127.0,No,83.3,4619.0,5.45,83668.0,0.41,76.41 +54925,UK,2011,Ebola,Chronic,19.77,1.84,9.92,36-60,Male,403433,66.43,1.69,2.8,Therapy,46900.0,No,73.71,4398.0,1.09,38681.0,0.61,42.59 +54927,Russia,2023,Polio,Bacterial,7.85,5.95,7.78,19-35,Male,623283,69.85,4.74,2.44,Therapy,40886.0,No,81.31,447.0,7.21,29190.0,0.63,38.59 +54935,Canada,2010,Diabetes,Respiratory,14.29,12.96,7.89,0-18,Female,470247,69.36,0.74,6.61,Therapy,18936.0,No,86.63,2985.0,6.58,3111.0,0.45,39.42 +54946,USA,2013,Rabies,Bacterial,11.29,12.64,2.05,0-18,Male,608897,94.8,2.58,5.49,Vaccination,13105.0,No,51.09,2531.0,6.5,86290.0,0.48,80.52 +54950,Japan,2019,Malaria,Genetic,6.52,13.74,2.21,0-18,Other,727931,66.11,2.39,6.23,Medication,2934.0,Yes,94.64,3029.0,3.51,50713.0,0.82,77.27 +54954,Germany,2020,Alzheimer's Disease,Bacterial,10.44,4.09,9.09,36-60,Other,948120,66.32,2.19,9.6,Surgery,27999.0,No,85.91,3494.0,4.59,2142.0,0.87,67.17 +54958,France,2013,Tuberculosis,Bacterial,14.5,0.15,9.9,36-60,Other,994293,94.22,0.61,7.6,Therapy,33922.0,Yes,89.53,4241.0,4.38,2005.0,0.55,48.06 +54959,Germany,2013,Hypertension,Metabolic,9.33,12.02,4.3,0-18,Male,77494,87.19,1.32,4.49,Vaccination,24887.0,No,54.33,255.0,1.63,11237.0,0.85,25.41 +54965,Russia,2006,Ebola,Respiratory,9.66,13.73,9.18,0-18,Other,434810,84.33,2.45,1.93,Vaccination,42874.0,No,65.64,100.0,0.88,45936.0,0.44,29.68 +54968,Russia,2024,Cancer,Bacterial,3.43,11.2,4.35,36-60,Female,165474,99.8,0.84,1.38,Medication,48135.0,Yes,58.83,4542.0,7.69,42738.0,0.7,89.44 +54977,Brazil,2012,Asthma,Autoimmune,7.11,4.09,2.39,19-35,Male,52522,97.57,4.64,4.93,Surgery,27730.0,Yes,98.52,2090.0,5.3,32493.0,0.71,88.71 +54979,Canada,2003,Zika,Chronic,0.87,12.9,0.69,61+,Other,829190,70.52,4.03,1.27,Vaccination,29939.0,Yes,56.42,445.0,1.75,48460.0,0.87,88.25 +54982,India,2024,Diabetes,Neurological,16.2,9.6,3.48,0-18,Female,96194,53.79,1.38,2.15,Therapy,44826.0,Yes,64.36,886.0,3.49,87235.0,0.86,87.27 +54983,UK,2008,Dengue,Chronic,9.09,10.52,5.41,19-35,Other,552617,57.44,3.6,4.95,Vaccination,38408.0,Yes,82.15,2750.0,2.34,13277.0,0.41,65.89 +54986,Indonesia,2021,Hepatitis,Infectious,1.79,13.07,7.58,61+,Female,88408,79.74,4.61,9.01,Medication,14851.0,Yes,80.95,1902.0,4.38,27539.0,0.67,74.27 +54992,Japan,2015,Diabetes,Neurological,2.21,9.0,8.82,0-18,Female,117202,81.23,2.17,5.68,Therapy,24094.0,No,51.96,2519.0,5.73,38016.0,0.74,39.69 +55009,Argentina,2006,Parkinson's Disease,Cardiovascular,15.11,7.77,9.92,61+,Male,2061,79.08,1.27,9.68,Therapy,7144.0,Yes,78.04,3175.0,2.28,70696.0,0.9,55.15 +55010,Nigeria,2006,Dengue,Metabolic,9.0,7.44,1.13,19-35,Male,938750,79.62,4.82,3.47,Vaccination,27905.0,No,86.49,2669.0,1.3,20927.0,0.48,67.66 +55025,Germany,2013,Alzheimer's Disease,Cardiovascular,1.97,3.76,5.08,19-35,Male,672868,73.19,4.46,5.83,Medication,17463.0,No,75.45,296.0,0.3,76996.0,0.88,76.42 +55027,Mexico,2020,Cancer,Respiratory,1.29,0.12,5.65,61+,Male,343911,98.89,0.8,0.59,Surgery,28408.0,Yes,55.15,4647.0,0.42,65042.0,0.76,88.25 +55028,Brazil,2006,Hepatitis,Respiratory,15.47,3.01,7.76,19-35,Male,137276,54.62,0.82,6.4,Vaccination,13116.0,No,62.92,93.0,4.69,74741.0,0.54,58.38 +55038,Mexico,2009,Diabetes,Metabolic,7.76,13.32,9.75,19-35,Other,944540,86.95,3.72,8.06,Surgery,47449.0,Yes,90.13,186.0,6.58,80065.0,0.85,81.71 +55043,Argentina,2004,Ebola,Infectious,13.93,14.45,9.93,0-18,Female,496239,56.93,1.71,0.78,Medication,10844.0,Yes,83.34,178.0,8.13,77786.0,0.53,29.72 +55045,India,2013,Asthma,Neurological,7.61,0.51,5.9,19-35,Female,932001,57.99,4.71,8.11,Therapy,15255.0,No,74.03,171.0,5.14,95375.0,0.49,40.78 +55048,South Africa,2004,Influenza,Chronic,13.58,12.8,1.82,61+,Male,919634,72.88,4.74,3.77,Vaccination,40247.0,Yes,66.44,2769.0,1.91,31698.0,0.46,85.12 +55056,Japan,2003,Hepatitis,Viral,15.56,7.55,1.36,19-35,Female,741665,68.11,4.8,3.34,Vaccination,41870.0,No,88.17,4253.0,3.36,53384.0,0.56,20.21 +55059,Saudi Arabia,2019,Zika,Neurological,5.77,3.95,2.65,0-18,Female,345894,95.38,2.03,6.86,Medication,9013.0,Yes,71.14,713.0,0.62,51803.0,0.42,57.65 +55065,Argentina,2008,Influenza,Chronic,2.97,14.65,2.72,61+,Male,376080,63.82,4.34,1.25,Therapy,34425.0,Yes,85.17,537.0,2.63,54673.0,0.46,83.32 +55079,Canada,2024,Cancer,Viral,6.43,10.26,0.99,0-18,Female,608530,61.39,4.96,9.79,Surgery,29314.0,No,81.82,4071.0,9.3,21778.0,0.54,89.55 +55081,Canada,2020,Diabetes,Metabolic,18.12,10.7,8.48,36-60,Other,573937,55.96,0.62,8.84,Surgery,20949.0,No,91.98,3733.0,9.08,38564.0,0.7,80.53 +55085,Germany,2013,Dengue,Metabolic,0.16,4.03,6.38,19-35,Other,30767,73.87,3.1,6.32,Surgery,32493.0,Yes,80.79,480.0,7.4,39624.0,0.83,33.12 +55086,Japan,2010,Tuberculosis,Genetic,2.5,14.86,3.43,0-18,Female,261205,63.9,3.01,7.82,Therapy,14153.0,Yes,70.88,2189.0,1.99,62715.0,0.83,52.49 +55089,India,2018,Asthma,Metabolic,16.38,14.41,6.44,19-35,Female,966477,89.37,4.7,3.38,Medication,25070.0,Yes,71.69,4085.0,2.38,98325.0,0.54,53.71 +55091,Canada,2021,Ebola,Autoimmune,15.66,13.72,4.22,19-35,Male,429968,96.93,4.31,5.51,Medication,25983.0,Yes,96.04,4555.0,9.02,92413.0,0.72,80.34 +55092,South Africa,2000,Diabetes,Autoimmune,16.07,0.6,2.02,61+,Female,360849,82.74,0.7,8.84,Therapy,6559.0,No,73.39,1536.0,0.21,87872.0,0.65,86.69 +55096,South Korea,2013,Tuberculosis,Cardiovascular,5.55,0.14,1.5,19-35,Female,870514,80.26,4.14,3.15,Therapy,2965.0,Yes,93.9,2716.0,5.58,74719.0,0.56,58.82 +55107,UK,2001,Influenza,Cardiovascular,0.13,11.97,5.42,36-60,Female,68153,97.68,3.16,5.28,Vaccination,34920.0,Yes,72.04,2018.0,2.74,97170.0,0.52,86.01 +55110,Germany,2024,Hypertension,Parasitic,18.12,7.9,8.68,0-18,Other,770759,50.85,1.63,5.79,Vaccination,7654.0,Yes,60.56,2258.0,4.87,99911.0,0.76,89.43 +55123,USA,2004,Tuberculosis,Bacterial,16.84,5.99,2.89,61+,Other,385576,68.7,3.98,8.78,Vaccination,1823.0,No,92.04,247.0,3.73,4742.0,0.77,49.49 +55127,Japan,2022,Influenza,Bacterial,16.95,12.39,8.35,19-35,Female,94791,75.0,4.59,3.33,Surgery,2807.0,Yes,71.8,3697.0,2.1,39567.0,0.63,83.12 +55128,USA,2017,Asthma,Respiratory,3.6,4.21,5.51,19-35,Male,313872,77.03,1.31,2.81,Therapy,11111.0,No,74.53,24.0,7.88,29406.0,0.51,68.94 +55129,USA,2000,Polio,Chronic,16.07,13.84,6.85,0-18,Other,555606,93.84,4.1,6.15,Surgery,10349.0,No,86.62,2493.0,0.9,81802.0,0.57,29.57 +55140,India,2012,Parkinson's Disease,Parasitic,8.38,8.76,2.2,61+,Male,785652,79.31,1.05,4.83,Vaccination,30974.0,No,74.59,1103.0,1.25,2044.0,0.43,77.24 +55145,Nigeria,2007,Asthma,Metabolic,14.13,13.2,1.17,0-18,Male,860651,53.59,2.71,8.32,Surgery,29649.0,Yes,60.77,436.0,5.95,62824.0,0.46,32.69 +55152,Germany,2003,Diabetes,Chronic,14.48,6.17,5.06,0-18,Female,703459,78.95,4.49,5.69,Therapy,10186.0,Yes,58.37,4514.0,1.28,61371.0,0.45,67.39 +55157,China,2020,Tuberculosis,Cardiovascular,9.04,8.8,1.64,0-18,Male,198920,65.53,4.46,5.06,Therapy,42232.0,Yes,95.35,3812.0,7.46,59359.0,0.63,80.92 +55166,Japan,2018,Influenza,Chronic,9.75,10.72,3.31,61+,Female,299295,84.98,3.14,7.22,Therapy,24817.0,No,70.27,1334.0,8.87,69830.0,0.51,24.39 +55171,Germany,2000,Parkinson's Disease,Cardiovascular,8.58,5.21,5.09,19-35,Male,326960,60.36,4.25,0.91,Surgery,19820.0,Yes,69.21,1916.0,8.87,67806.0,0.88,64.93 +55174,Germany,2007,Rabies,Autoimmune,9.97,12.26,1.3,0-18,Female,443744,74.04,0.63,3.79,Surgery,23653.0,Yes,57.12,3235.0,3.31,62110.0,0.72,66.52 +55181,Turkey,2015,Leprosy,Metabolic,9.77,4.74,2.52,61+,Male,162485,79.22,4.48,3.62,Therapy,17804.0,No,67.64,652.0,0.47,82268.0,0.59,42.11 +55196,Germany,2016,Leprosy,Infectious,19.01,10.3,6.1,19-35,Female,118124,67.18,2.27,8.56,Vaccination,44090.0,Yes,73.86,3511.0,0.53,2565.0,0.59,80.13 +55205,South Korea,2021,Tuberculosis,Viral,5.69,3.76,3.4,0-18,Female,632915,66.28,2.02,3.01,Surgery,12024.0,Yes,85.25,1754.0,4.02,80537.0,0.49,77.76 +55208,Russia,2011,Rabies,Infectious,1.98,12.98,9.02,36-60,Other,980794,86.65,2.25,9.65,Vaccination,37013.0,No,87.72,4359.0,4.66,5925.0,0.59,46.46 +55225,UK,2010,Alzheimer's Disease,Neurological,15.37,8.36,9.51,19-35,Male,400172,56.18,3.26,7.28,Vaccination,16456.0,Yes,53.06,2686.0,9.51,99188.0,0.62,45.6 +55230,South Korea,2014,Dengue,Infectious,15.23,4.4,3.62,36-60,Female,842672,83.54,4.05,9.51,Vaccination,29141.0,No,62.71,887.0,3.47,39622.0,0.53,55.26 +55233,Mexico,2018,Influenza,Parasitic,15.56,1.98,8.75,0-18,Male,989236,75.76,3.14,9.49,Vaccination,26157.0,Yes,84.21,3666.0,6.07,2637.0,0.42,48.49 +55245,Brazil,2017,Zika,Genetic,4.75,2.23,8.36,36-60,Other,540160,83.83,2.96,0.78,Medication,34615.0,Yes,78.8,4065.0,6.14,94854.0,0.6,32.76 +55247,USA,2017,Hepatitis,Bacterial,1.87,14.2,6.63,19-35,Male,130563,78.92,3.72,7.26,Vaccination,17495.0,Yes,92.4,2024.0,2.53,8843.0,0.63,43.23 +55248,Indonesia,2018,Hypertension,Autoimmune,17.24,6.2,0.25,0-18,Other,52139,86.82,0.86,9.89,Medication,28673.0,No,52.83,2332.0,4.05,15141.0,0.87,52.3 +55250,Russia,2009,Asthma,Chronic,0.57,12.91,7.69,19-35,Male,20899,57.02,4.31,1.35,Vaccination,1608.0,No,54.76,1226.0,2.47,49791.0,0.73,55.54 +55251,Japan,2001,Rabies,Respiratory,1.38,6.37,5.51,0-18,Female,386469,70.65,3.96,0.98,Vaccination,23696.0,Yes,66.82,257.0,9.08,13145.0,0.58,81.3 +55254,Australia,2023,Diabetes,Neurological,19.32,7.41,4.41,0-18,Other,524173,72.53,2.28,7.6,Surgery,14491.0,No,55.38,2793.0,0.12,99187.0,0.6,54.34 +55255,Russia,2017,Asthma,Parasitic,14.4,1.49,4.53,61+,Female,276744,61.21,0.73,4.67,Therapy,14908.0,No,55.77,3534.0,5.49,46862.0,0.89,65.97 +55257,Germany,2013,COVID-19,Cardiovascular,3.48,2.11,3.81,0-18,Male,51746,97.03,4.1,2.18,Medication,16995.0,Yes,62.24,2120.0,5.41,60573.0,0.79,64.47 +55258,China,2019,Ebola,Cardiovascular,15.1,10.46,3.28,19-35,Female,932330,80.77,1.56,9.0,Therapy,16114.0,Yes,69.83,2086.0,7.24,3670.0,0.44,25.62 +55263,South Korea,2007,Ebola,Infectious,11.89,14.67,6.51,61+,Male,26293,83.78,2.43,8.47,Surgery,6686.0,Yes,85.91,1474.0,2.73,58255.0,0.73,23.25 +55266,Canada,2008,Polio,Metabolic,19.59,3.3,7.8,61+,Other,262561,60.58,4.95,1.23,Therapy,11393.0,No,57.6,4669.0,5.01,19681.0,0.52,76.17 +55271,Germany,2002,Polio,Bacterial,9.99,8.1,2.44,19-35,Other,378511,52.83,4.5,2.65,Therapy,43068.0,Yes,64.65,4054.0,0.0,43367.0,0.61,77.32 +55272,China,2014,Dengue,Parasitic,8.77,11.65,8.73,36-60,Male,517194,57.14,3.08,7.27,Medication,37211.0,Yes,62.74,298.0,3.76,81097.0,0.42,71.29 +55274,Russia,2012,COVID-19,Autoimmune,17.73,1.85,1.69,0-18,Male,193482,68.4,1.27,9.56,Vaccination,22248.0,Yes,50.25,1441.0,7.85,68376.0,0.83,38.12 +55277,China,2008,Rabies,Genetic,10.74,0.53,1.99,19-35,Male,790806,60.28,2.1,9.98,Therapy,46906.0,No,87.15,1476.0,0.42,21824.0,0.47,27.99 +55283,Argentina,2024,Hypertension,Infectious,15.06,5.67,7.32,61+,Other,167895,50.86,3.27,4.3,Vaccination,30817.0,Yes,55.92,454.0,6.82,33173.0,0.55,65.47 +55284,Argentina,2013,HIV/AIDS,Bacterial,0.18,2.1,6.61,61+,Other,507583,94.35,1.13,0.95,Medication,4837.0,No,72.79,1562.0,6.85,45687.0,0.69,59.83 +55287,Argentina,2002,Ebola,Cardiovascular,14.34,9.76,0.26,61+,Male,191518,65.76,4.94,1.8,Surgery,41023.0,Yes,76.61,4442.0,2.43,27253.0,0.79,71.6 +55295,South Korea,2011,HIV/AIDS,Viral,12.19,7.26,6.47,0-18,Male,348712,82.77,3.25,2.73,Therapy,4952.0,Yes,61.35,3042.0,2.79,54814.0,0.9,80.02 +55309,Nigeria,2015,Cholera,Metabolic,15.17,2.54,9.47,61+,Other,899537,76.74,1.05,9.79,Medication,22498.0,No,77.31,1698.0,9.32,16160.0,0.45,79.39 +55327,Japan,2021,Asthma,Chronic,5.92,10.82,8.11,36-60,Female,148424,96.32,2.76,7.8,Therapy,15158.0,Yes,52.97,1492.0,9.1,9172.0,0.88,23.01 +55329,France,2013,Alzheimer's Disease,Metabolic,11.21,11.38,1.81,61+,Male,385190,85.48,2.94,7.92,Surgery,41176.0,No,91.1,2429.0,4.15,42784.0,0.81,74.19 +55334,Turkey,2018,Influenza,Cardiovascular,3.8,11.54,8.79,0-18,Other,48241,63.38,1.83,3.29,Medication,39871.0,No,67.7,4914.0,1.17,22687.0,0.48,61.91 +55339,Japan,2009,Asthma,Neurological,16.77,2.64,1.99,19-35,Male,597607,55.31,2.02,9.02,Medication,20051.0,No,75.73,731.0,5.55,78884.0,0.46,37.44 +55344,India,2008,Hepatitis,Autoimmune,9.15,7.25,1.51,0-18,Female,905697,54.59,1.68,2.06,Vaccination,43751.0,No,92.4,4068.0,0.99,59232.0,0.54,82.26 +55349,Japan,2007,Influenza,Neurological,15.7,0.9,3.5,36-60,Male,621394,65.15,4.3,3.58,Vaccination,43868.0,Yes,69.71,4982.0,9.28,79518.0,0.63,20.42 +55351,India,2018,COVID-19,Parasitic,12.13,4.28,7.49,0-18,Female,148028,87.09,4.76,7.56,Medication,48063.0,No,74.8,346.0,5.09,61159.0,0.54,84.88 +55356,Australia,2001,Rabies,Cardiovascular,2.41,3.53,3.85,36-60,Other,109354,87.41,2.07,2.74,Medication,22711.0,Yes,97.82,1418.0,7.96,36519.0,0.47,31.14 +55361,Saudi Arabia,2010,Ebola,Metabolic,5.5,13.31,5.94,0-18,Female,134776,82.87,1.98,9.27,Surgery,7870.0,Yes,80.82,256.0,3.2,69685.0,0.74,35.82 +55366,Indonesia,2021,Parkinson's Disease,Metabolic,7.98,2.08,8.88,19-35,Other,39643,58.63,2.94,3.67,Vaccination,39917.0,Yes,55.38,3160.0,3.98,63657.0,0.77,34.01 +55369,Brazil,2003,Tuberculosis,Neurological,19.63,5.99,2.31,36-60,Female,440217,75.97,1.49,1.1,Vaccination,47731.0,Yes,85.29,3599.0,2.05,64056.0,0.71,71.68 +55372,Australia,2011,Parkinson's Disease,Metabolic,13.45,9.29,0.2,0-18,Male,479697,61.9,3.67,8.6,Medication,28715.0,No,63.23,1259.0,4.59,39463.0,0.73,76.95 +55376,Canada,2001,Dengue,Metabolic,10.07,7.97,6.99,61+,Female,457189,82.65,2.85,2.48,Medication,41515.0,No,96.07,1726.0,0.33,40429.0,0.56,32.1 +55378,Canada,2014,Dengue,Autoimmune,5.96,9.49,2.96,36-60,Female,758631,61.27,3.23,4.48,Therapy,49135.0,No,58.22,96.0,7.54,66791.0,0.72,82.6 +55380,Mexico,2024,Hypertension,Respiratory,15.23,7.59,1.84,36-60,Female,459757,93.95,4.7,4.9,Surgery,48351.0,No,72.22,4589.0,9.27,69607.0,0.58,44.02 +55382,China,2012,Hypertension,Bacterial,16.9,13.47,5.19,61+,Male,651182,72.88,2.75,1.63,Therapy,30862.0,Yes,72.0,3877.0,6.1,82009.0,0.88,71.38 +55394,Nigeria,2019,Malaria,Cardiovascular,8.39,3.99,9.07,36-60,Male,174533,56.47,4.99,4.11,Surgery,21987.0,No,94.71,2334.0,6.24,3155.0,0.78,60.96 +55397,South Korea,2003,Tuberculosis,Metabolic,12.83,1.4,0.11,19-35,Other,867313,90.48,0.65,4.91,Surgery,15347.0,Yes,91.57,1189.0,8.39,74029.0,0.49,76.42 +55400,Mexico,2022,Asthma,Neurological,14.11,5.07,4.16,19-35,Other,889859,57.16,1.31,0.86,Surgery,48280.0,Yes,83.13,4531.0,0.13,8499.0,0.78,74.36 +55407,South Korea,2008,Tuberculosis,Parasitic,9.77,14.67,8.56,61+,Other,836263,99.32,1.81,1.01,Vaccination,48221.0,Yes,92.26,3875.0,8.3,43229.0,0.59,36.82 +55408,South Korea,2021,Asthma,Infectious,14.56,1.62,2.59,36-60,Male,64280,91.19,1.22,4.75,Surgery,44189.0,Yes,91.29,1944.0,6.24,94045.0,0.78,58.39 +55409,Nigeria,2023,Polio,Viral,12.17,2.07,7.78,36-60,Male,862735,71.37,4.63,7.92,Surgery,16158.0,No,66.01,2813.0,4.88,51122.0,0.72,59.45 +55412,Canada,2005,Zika,Cardiovascular,12.81,9.35,1.86,36-60,Other,328204,79.1,2.21,1.06,Therapy,46011.0,Yes,93.2,3975.0,0.36,35346.0,0.63,86.95 +55413,USA,2005,Parkinson's Disease,Cardiovascular,1.13,14.61,5.08,0-18,Other,534878,98.57,1.74,7.27,Surgery,17726.0,No,57.1,2398.0,2.94,47658.0,0.48,21.61 +55415,Japan,2005,COVID-19,Chronic,12.29,11.54,2.74,0-18,Other,452888,56.32,4.07,9.35,Surgery,3339.0,Yes,80.39,3590.0,3.92,9518.0,0.68,30.24 +55425,USA,2019,Diabetes,Genetic,19.43,9.53,2.93,0-18,Other,188600,59.99,4.52,6.86,Surgery,19290.0,No,96.57,722.0,2.2,5460.0,0.88,74.31 +55430,India,2001,Polio,Infectious,19.39,5.89,3.53,36-60,Female,574456,59.12,2.76,9.84,Medication,41665.0,No,52.36,4185.0,4.83,61621.0,0.82,53.66 +55433,South Korea,2021,Asthma,Cardiovascular,18.51,0.77,2.06,61+,Female,79822,95.79,2.84,3.46,Vaccination,2463.0,No,79.55,1282.0,5.47,52388.0,0.42,59.81 +55437,South Africa,2012,Alzheimer's Disease,Genetic,0.19,2.37,0.6,0-18,Female,325493,71.22,4.54,1.85,Therapy,31769.0,No,60.83,1244.0,9.51,50278.0,0.48,67.93 +55439,Turkey,2005,Polio,Autoimmune,3.29,5.28,3.4,36-60,Female,263294,88.76,4.6,0.88,Therapy,37926.0,Yes,65.65,522.0,1.55,8482.0,0.49,26.4 +55446,Argentina,2020,Rabies,Chronic,13.79,7.52,6.74,19-35,Female,821137,60.85,2.12,5.9,Medication,37482.0,Yes,61.26,1726.0,5.68,39996.0,0.84,28.75 +55452,Turkey,2022,Rabies,Respiratory,15.56,8.48,1.83,61+,Other,206483,77.2,3.89,4.29,Vaccination,34512.0,No,57.95,3310.0,9.59,32543.0,0.5,70.24 +55460,India,2005,HIV/AIDS,Viral,3.35,4.77,1.42,36-60,Female,907901,95.04,2.35,8.15,Medication,18594.0,Yes,50.7,2441.0,0.92,92647.0,0.46,42.56 +55462,South Korea,2008,Malaria,Metabolic,17.73,12.55,2.75,0-18,Male,716221,79.11,4.34,4.51,Therapy,11121.0,Yes,83.25,4143.0,3.72,28070.0,0.75,46.18 +55464,Turkey,2021,Hypertension,Respiratory,8.75,0.74,1.12,61+,Other,809135,75.53,0.62,6.77,Therapy,1633.0,No,92.28,4841.0,1.43,2128.0,0.83,78.2 +55466,Indonesia,2018,Hepatitis,Respiratory,1.88,4.85,6.39,61+,Female,670502,74.89,3.51,4.41,Medication,36015.0,No,80.93,4301.0,3.98,65026.0,0.71,24.69 +55480,Nigeria,2022,HIV/AIDS,Neurological,17.64,0.11,8.58,61+,Other,901958,89.64,3.55,2.39,Vaccination,29001.0,Yes,65.11,2554.0,2.76,90247.0,0.47,63.56 +55481,Saudi Arabia,2001,Cancer,Respiratory,14.32,4.02,8.89,61+,Male,761259,87.96,4.36,6.83,Therapy,26414.0,Yes,50.43,516.0,6.75,18180.0,0.9,29.46 +55483,India,2016,Malaria,Bacterial,2.74,12.4,6.64,36-60,Male,699941,65.36,1.62,7.93,Medication,23712.0,No,67.7,1714.0,3.47,96409.0,0.71,66.89 +55493,USA,2021,Alzheimer's Disease,Viral,2.88,3.96,1.78,61+,Other,42217,98.59,1.36,9.92,Surgery,9048.0,Yes,83.41,3706.0,2.78,722.0,0.8,42.77 +55503,Turkey,2019,Alzheimer's Disease,Metabolic,6.63,7.31,2.91,36-60,Male,835325,95.33,4.03,2.23,Surgery,3148.0,Yes,62.49,3768.0,9.64,96703.0,0.58,63.54 +55508,Argentina,2008,Cancer,Infectious,6.33,7.45,1.33,61+,Other,601674,66.66,1.05,5.04,Therapy,16198.0,No,63.83,2606.0,7.2,29426.0,0.57,65.19 +55509,Saudi Arabia,2020,Dengue,Genetic,0.98,0.19,3.53,19-35,Male,64456,96.87,0.87,8.17,Therapy,2922.0,No,82.48,3103.0,9.91,80016.0,0.81,23.33 +55510,Japan,2010,Rabies,Viral,16.46,10.41,6.85,61+,Female,126955,80.75,4.22,5.83,Surgery,26378.0,No,87.26,4520.0,3.63,58972.0,0.72,44.9 +55515,India,2005,Measles,Infectious,17.27,12.47,0.94,0-18,Male,721437,52.32,3.27,7.34,Therapy,27722.0,No,87.85,3443.0,4.42,46090.0,0.64,20.14 +55519,Germany,2020,Alzheimer's Disease,Viral,2.54,7.82,8.97,36-60,Other,335766,84.91,0.98,4.67,Surgery,46675.0,No,97.38,1480.0,6.52,8684.0,0.72,72.76 +55533,Brazil,2007,Parkinson's Disease,Neurological,6.71,12.78,1.31,0-18,Male,366667,61.48,4.82,0.75,Vaccination,35713.0,No,61.73,2439.0,8.32,73291.0,0.6,70.91 +55535,China,2019,COVID-19,Infectious,6.72,13.07,0.28,61+,Female,118220,77.57,1.57,4.98,Vaccination,18286.0,Yes,87.34,1793.0,8.06,33535.0,0.57,22.43 +55544,Italy,2005,Hypertension,Neurological,16.56,6.92,4.29,19-35,Other,568490,63.99,3.92,3.05,Vaccination,47401.0,No,67.9,2794.0,6.28,77512.0,0.89,82.09 +55558,Germany,2015,Dengue,Neurological,14.79,6.42,9.33,0-18,Other,496066,91.06,1.11,5.44,Therapy,2784.0,Yes,54.92,1294.0,1.63,79579.0,0.73,59.87 +55560,Argentina,2018,Ebola,Metabolic,10.65,14.44,7.13,0-18,Male,63144,92.55,4.39,6.33,Vaccination,18355.0,Yes,84.23,2365.0,2.71,25695.0,0.79,86.73 +55562,Germany,2004,Tuberculosis,Viral,18.63,13.6,4.46,0-18,Female,792381,97.31,4.39,1.98,Therapy,49425.0,Yes,89.49,4055.0,5.42,17595.0,0.8,23.68 +55567,UK,2009,Cholera,Neurological,0.98,4.95,2.86,36-60,Male,97566,70.11,4.91,2.69,Medication,33676.0,No,80.04,2260.0,0.08,58825.0,0.5,74.92 +55570,South Korea,2020,Cancer,Autoimmune,12.98,13.45,0.99,61+,Female,99644,53.06,2.6,3.56,Surgery,6192.0,No,63.67,1967.0,1.28,37850.0,0.65,22.12 +55580,Japan,2011,Leprosy,Parasitic,13.39,10.99,4.47,0-18,Female,165833,50.19,3.46,6.79,Therapy,12820.0,Yes,87.86,2139.0,6.3,33196.0,0.42,51.48 +55583,Canada,2014,Dengue,Chronic,3.97,4.81,4.28,36-60,Male,943464,81.63,0.93,7.73,Vaccination,48282.0,No,66.74,215.0,7.4,51519.0,0.83,41.86 +55589,China,2024,Asthma,Viral,8.75,7.5,1.24,36-60,Male,514235,97.94,2.1,8.84,Vaccination,28855.0,Yes,74.68,2375.0,4.1,27939.0,0.71,70.45 +55591,Russia,2008,Alzheimer's Disease,Cardiovascular,9.05,11.02,2.47,0-18,Female,924009,91.27,3.5,1.0,Surgery,35431.0,No,98.19,4692.0,1.22,21561.0,0.59,67.86 +55600,Argentina,2023,Influenza,Autoimmune,5.54,0.13,1.13,61+,Other,795070,85.68,1.56,4.66,Surgery,35198.0,Yes,65.44,283.0,4.94,43443.0,0.8,67.34 +55608,Brazil,2011,Ebola,Respiratory,18.63,6.55,6.5,0-18,Female,420174,89.17,2.55,3.38,Surgery,30562.0,Yes,74.15,1487.0,3.53,23158.0,0.54,79.65 +55614,USA,2023,Hypertension,Autoimmune,14.45,4.33,0.39,0-18,Female,247250,82.36,4.43,7.92,Therapy,47852.0,Yes,69.39,1512.0,5.75,88524.0,0.45,31.38 +55615,UK,2024,Measles,Chronic,12.24,5.35,4.42,36-60,Other,208254,99.52,4.98,6.41,Surgery,31223.0,Yes,83.84,3417.0,8.33,53683.0,0.9,59.23 +55619,USA,2019,Dengue,Autoimmune,13.52,12.33,3.05,19-35,Other,88180,67.0,1.34,9.95,Vaccination,32197.0,No,77.81,932.0,5.42,22593.0,0.47,35.92 +55623,South Africa,2020,Leprosy,Cardiovascular,10.6,4.25,6.38,61+,Other,954453,72.44,1.2,7.6,Therapy,34500.0,Yes,52.78,4879.0,5.6,97767.0,0.86,24.19 +55624,UK,2011,Alzheimer's Disease,Metabolic,16.38,6.09,2.99,36-60,Male,418587,89.51,4.05,4.32,Therapy,39552.0,No,84.95,2691.0,8.05,37069.0,0.71,33.99 +55628,Germany,2007,Influenza,Respiratory,9.51,8.61,4.23,61+,Male,301656,72.2,3.09,9.5,Vaccination,2850.0,No,66.08,294.0,4.14,83374.0,0.49,58.67 +55629,UK,2005,Parkinson's Disease,Chronic,5.67,3.16,5.45,61+,Female,592772,86.07,1.34,1.29,Surgery,8656.0,Yes,93.5,1611.0,4.42,98652.0,0.55,62.14 +55640,India,2001,Influenza,Infectious,1.78,11.83,3.83,0-18,Male,545918,82.05,3.95,6.42,Medication,49474.0,No,78.66,4274.0,0.87,39091.0,0.85,52.26 +55643,Australia,2008,Leprosy,Respiratory,18.87,2.11,9.78,0-18,Other,26083,69.65,2.74,9.87,Therapy,35411.0,No,61.46,4724.0,6.89,93692.0,0.89,30.89 +55647,Argentina,2003,Alzheimer's Disease,Neurological,18.85,1.46,6.88,36-60,Male,531915,81.19,1.28,7.01,Therapy,5764.0,Yes,93.01,4929.0,3.64,53167.0,0.42,31.28 +55649,Germany,2005,Ebola,Genetic,6.56,0.92,1.66,19-35,Male,965048,59.79,4.12,6.08,Therapy,48531.0,No,84.81,2842.0,8.09,91862.0,0.78,20.84 +55652,Japan,2013,Leprosy,Neurological,3.58,5.91,8.52,61+,Male,766425,86.28,0.86,8.92,Therapy,42872.0,No,63.67,4841.0,3.91,47748.0,0.69,72.69 +55660,South Africa,2011,Malaria,Infectious,17.67,3.6,1.25,19-35,Other,119389,64.88,3.02,3.38,Therapy,40904.0,No,84.29,705.0,7.04,1529.0,0.69,67.61 +55665,South Korea,2010,Dengue,Parasitic,19.0,14.18,2.53,36-60,Other,596304,97.6,0.57,1.2,Medication,42358.0,Yes,94.78,3961.0,7.54,55255.0,0.86,66.19 +55673,South Africa,2001,Measles,Viral,4.25,11.66,7.09,19-35,Male,294194,65.32,3.4,1.8,Surgery,22656.0,Yes,51.69,2081.0,7.49,95589.0,0.59,75.97 +55674,South Africa,2015,Parkinson's Disease,Cardiovascular,2.68,0.35,8.76,36-60,Male,862189,95.98,2.14,9.88,Vaccination,24711.0,No,97.77,194.0,1.78,35896.0,0.4,44.51 +55677,India,2012,Tuberculosis,Metabolic,2.82,2.22,5.32,36-60,Male,365743,54.14,3.57,0.82,Therapy,2925.0,No,60.28,2797.0,4.94,86044.0,0.79,30.87 +55682,Australia,2011,Alzheimer's Disease,Chronic,16.66,13.15,7.93,61+,Male,868362,90.25,2.19,7.55,Medication,35213.0,No,92.6,4152.0,5.8,72519.0,0.66,78.25 +55692,India,2002,Influenza,Viral,19.11,9.95,1.35,36-60,Other,492859,99.12,0.65,9.37,Therapy,43642.0,No,78.73,1355.0,3.67,92238.0,0.66,76.76 +55695,Nigeria,2015,Leprosy,Autoimmune,10.36,8.77,0.36,61+,Female,985312,59.43,3.33,7.67,Medication,46797.0,No,81.6,1012.0,9.33,55224.0,0.45,67.66 +55701,Turkey,2009,Diabetes,Infectious,15.82,10.02,3.66,36-60,Male,158403,80.4,1.13,3.52,Medication,41580.0,Yes,59.37,4490.0,9.37,50277.0,0.83,81.04 +55709,Canada,2017,Cholera,Viral,11.47,10.88,3.98,19-35,Male,567971,59.06,3.51,8.4,Surgery,14638.0,Yes,51.49,4575.0,4.71,29086.0,0.75,80.64 +55714,Mexico,2004,Cholera,Infectious,18.55,11.8,4.37,36-60,Female,165226,69.14,0.58,8.53,Therapy,29563.0,No,56.07,3441.0,6.48,13494.0,0.73,78.09 +55715,Australia,2008,Parkinson's Disease,Cardiovascular,7.97,4.01,2.85,19-35,Female,595211,86.07,0.87,8.77,Therapy,14901.0,Yes,66.25,206.0,5.34,71411.0,0.44,41.39 +55718,Argentina,2002,Hypertension,Cardiovascular,4.8,1.47,7.76,19-35,Female,495560,63.7,4.09,1.44,Therapy,39215.0,Yes,63.77,3948.0,5.49,87909.0,0.42,27.64 +55719,Turkey,2015,Parkinson's Disease,Cardiovascular,19.32,8.63,9.89,36-60,Male,875153,97.25,2.8,0.85,Medication,17107.0,No,77.08,1944.0,2.6,43570.0,0.55,64.33 +55725,Canada,2016,Alzheimer's Disease,Metabolic,16.05,11.8,6.47,36-60,Female,290402,77.13,3.81,3.8,Therapy,29532.0,No,53.55,4160.0,1.61,26578.0,0.47,60.33 +55742,Saudi Arabia,2016,Polio,Cardiovascular,16.38,9.14,6.23,19-35,Other,708659,73.56,3.04,3.17,Vaccination,20897.0,Yes,89.4,4297.0,1.42,33454.0,0.46,54.84 +55749,Nigeria,2010,Ebola,Autoimmune,2.32,2.0,6.43,0-18,Other,560379,73.45,4.1,3.04,Surgery,6961.0,No,74.15,4569.0,8.79,44612.0,0.68,79.55 +55752,India,2015,Dengue,Parasitic,10.65,1.94,9.09,0-18,Other,858755,88.74,0.56,1.88,Medication,4781.0,No,85.2,1243.0,2.62,46710.0,0.48,61.26 +55756,India,2024,Asthma,Autoimmune,0.45,8.59,6.13,19-35,Other,731651,90.48,0.82,5.41,Vaccination,33795.0,No,54.97,3250.0,9.78,59182.0,0.71,41.2 +55760,Australia,2001,Ebola,Cardiovascular,17.25,11.09,5.38,19-35,Other,837116,74.41,0.97,5.73,Therapy,32045.0,No,68.87,641.0,4.56,97557.0,0.64,53.89 +55768,Canada,2022,Dengue,Autoimmune,9.97,12.59,2.09,19-35,Other,130067,98.49,2.72,4.35,Vaccination,1038.0,Yes,79.69,4400.0,2.16,7900.0,0.89,41.07 +55772,Brazil,2009,Ebola,Genetic,1.22,13.3,3.23,61+,Other,716171,52.25,2.62,1.07,Therapy,23680.0,Yes,64.41,4119.0,7.64,13984.0,0.87,73.11 +55782,India,2014,Dengue,Cardiovascular,18.31,10.84,8.64,0-18,Male,385722,60.45,3.53,3.6,Vaccination,19320.0,No,94.95,119.0,3.52,31525.0,0.69,39.79 +55788,Indonesia,2010,COVID-19,Viral,3.08,0.51,1.9,36-60,Female,670850,93.83,1.79,9.36,Therapy,27251.0,Yes,83.0,32.0,9.79,64151.0,0.5,74.01 +55795,Japan,2010,Dengue,Infectious,18.23,7.78,1.4,61+,Female,179288,61.3,0.91,8.11,Surgery,14278.0,Yes,74.93,4749.0,5.55,51692.0,0.47,32.98 +55799,China,2007,Measles,Respiratory,8.08,1.73,1.22,19-35,Female,394896,74.27,1.91,9.06,Surgery,5764.0,No,98.02,4502.0,0.96,19167.0,0.7,41.56 +55800,USA,2004,Hypertension,Metabolic,7.14,6.96,5.67,36-60,Male,455636,68.65,1.04,7.15,Medication,35627.0,Yes,75.18,719.0,4.2,61132.0,0.54,26.72 +55806,India,2015,Rabies,Genetic,15.58,13.11,6.54,36-60,Female,711863,67.28,4.92,9.71,Therapy,28253.0,Yes,83.14,4798.0,0.57,48760.0,0.89,60.17 +55813,Mexico,2020,Asthma,Bacterial,13.14,3.73,8.06,36-60,Male,456425,55.13,1.76,7.53,Surgery,33579.0,No,91.52,3836.0,2.48,89287.0,0.58,75.91 +55814,Germany,2021,Ebola,Parasitic,0.8,14.13,6.74,36-60,Female,143360,92.06,3.88,5.02,Vaccination,6107.0,No,90.35,659.0,7.29,59826.0,0.8,26.77 +55816,South Africa,2018,Ebola,Parasitic,12.39,2.03,9.05,19-35,Male,14172,79.99,2.0,1.32,Surgery,49946.0,Yes,55.64,741.0,8.42,78642.0,0.82,72.58 +55821,South Africa,2022,Malaria,Infectious,1.09,1.23,4.93,61+,Other,815660,58.46,0.85,8.32,Medication,14339.0,No,69.33,4013.0,7.02,65424.0,0.47,42.74 +55822,China,2017,Diabetes,Chronic,15.59,8.75,5.46,61+,Male,29151,86.22,1.32,4.23,Vaccination,879.0,Yes,70.13,711.0,4.33,29961.0,0.47,53.47 +55825,Brazil,2013,Measles,Neurological,18.95,11.95,6.96,0-18,Other,43329,97.94,3.46,2.03,Vaccination,22054.0,No,91.58,4864.0,7.94,8191.0,0.74,20.54 +55831,Nigeria,2014,COVID-19,Chronic,14.85,5.02,8.09,36-60,Other,274832,72.1,1.57,2.26,Medication,181.0,No,59.88,369.0,7.09,28352.0,0.43,25.37 +55843,Australia,2022,Influenza,Cardiovascular,15.47,9.03,7.8,19-35,Female,885783,59.47,3.25,5.01,Surgery,48218.0,No,75.82,734.0,0.51,20563.0,0.82,62.05 +55854,Nigeria,2012,HIV/AIDS,Cardiovascular,0.96,11.32,8.39,19-35,Other,72744,62.92,3.38,5.06,Vaccination,38287.0,No,67.66,4534.0,8.58,57770.0,0.76,60.57 +55855,Germany,2011,Dengue,Viral,5.14,3.66,1.56,0-18,Female,452276,89.01,1.41,9.92,Medication,11102.0,No,98.91,2357.0,5.58,46158.0,0.73,51.53 +55860,China,2020,Zika,Genetic,18.5,11.84,5.08,19-35,Other,35071,95.27,2.36,9.84,Vaccination,39049.0,No,61.04,3486.0,4.95,56416.0,0.69,84.55 +55867,Italy,2002,Polio,Autoimmune,6.92,11.07,6.59,0-18,Male,287525,82.33,2.57,4.98,Surgery,39144.0,No,98.74,2748.0,3.3,35255.0,0.83,39.65 +55871,France,2002,Hypertension,Infectious,9.0,14.05,7.73,36-60,Other,886296,78.0,2.02,5.19,Surgery,8054.0,No,88.06,418.0,4.7,81239.0,0.54,51.79 +55873,Saudi Arabia,2018,Polio,Chronic,8.04,3.5,1.57,0-18,Male,734857,66.51,4.62,2.15,Medication,40733.0,Yes,95.72,1400.0,6.37,53473.0,0.69,41.22 +55876,UK,2008,COVID-19,Autoimmune,1.33,0.95,5.61,36-60,Female,69537,83.04,4.76,9.51,Vaccination,9740.0,Yes,65.3,4802.0,2.17,83341.0,0.58,32.09 +55882,Germany,2015,Cancer,Infectious,5.07,4.12,5.8,61+,Male,650300,76.5,3.04,9.7,Surgery,5444.0,Yes,94.94,594.0,6.55,7599.0,0.62,64.63 +55885,France,2003,Parkinson's Disease,Respiratory,6.28,9.24,1.85,61+,Female,39662,91.81,2.45,1.31,Therapy,48318.0,Yes,57.71,3357.0,2.26,10241.0,0.73,64.28 +55891,South Africa,2011,Leprosy,Viral,11.94,10.04,0.4,19-35,Other,545162,96.66,2.68,8.91,Vaccination,29189.0,Yes,77.65,1813.0,7.61,32012.0,0.74,25.28 +55898,Turkey,2001,Polio,Chronic,18.42,12.56,3.12,0-18,Other,650185,67.08,3.91,6.41,Vaccination,19714.0,Yes,54.98,446.0,4.15,85708.0,0.85,44.69 +55907,India,2024,Rabies,Infectious,5.99,0.7,6.21,61+,Other,258370,79.93,4.79,3.91,Medication,46858.0,Yes,57.03,1781.0,5.19,43979.0,0.9,33.67 +55914,Saudi Arabia,2023,Ebola,Neurological,3.78,7.54,3.98,36-60,Female,292315,84.82,2.19,2.22,Surgery,29219.0,No,52.89,1691.0,1.98,78003.0,0.82,41.59 +55916,South Africa,2022,Leprosy,Respiratory,4.78,11.35,4.16,19-35,Other,430878,85.89,3.79,4.97,Surgery,28868.0,No,76.6,79.0,1.76,715.0,0.49,75.66 +55919,Nigeria,2017,HIV/AIDS,Bacterial,18.08,6.53,4.88,19-35,Male,4424,66.72,2.32,0.59,Surgery,22793.0,No,98.64,1146.0,8.56,29420.0,0.7,36.98 +55927,France,2018,Alzheimer's Disease,Neurological,1.95,4.69,8.46,0-18,Female,356281,71.39,3.52,4.08,Vaccination,7914.0,Yes,65.41,4537.0,1.07,72164.0,0.84,72.04 +55934,Mexico,2011,COVID-19,Parasitic,6.6,4.7,1.47,61+,Other,283594,92.93,3.79,7.41,Therapy,22344.0,No,84.23,2958.0,2.37,87359.0,0.6,45.37 +55948,Canada,2023,Influenza,Neurological,10.43,3.2,0.19,19-35,Female,106983,77.92,4.67,5.41,Therapy,46214.0,No,84.54,4181.0,7.59,95772.0,0.59,25.46 +55959,Japan,2016,Cancer,Respiratory,3.03,3.99,8.03,0-18,Male,271641,88.36,2.28,6.56,Therapy,35686.0,No,86.96,3028.0,6.64,34697.0,0.55,28.57 +55961,France,2016,Cancer,Chronic,8.9,4.43,3.2,36-60,Male,447369,59.96,3.13,0.78,Surgery,9936.0,No,61.1,869.0,8.68,73518.0,0.67,36.05 +55972,USA,2011,Parkinson's Disease,Metabolic,4.32,0.32,8.4,61+,Male,635874,52.06,2.23,3.14,Medication,47864.0,Yes,79.46,3440.0,2.07,51331.0,0.41,49.03 +55974,Nigeria,2021,Leprosy,Autoimmune,1.36,1.6,9.87,19-35,Female,693229,85.01,2.8,7.93,Surgery,42890.0,Yes,69.83,4803.0,2.3,33602.0,0.79,22.9 +55979,USA,2018,Cancer,Viral,5.06,0.53,8.44,61+,Other,52949,99.94,3.56,8.54,Therapy,37671.0,Yes,87.44,3079.0,9.33,54085.0,0.9,32.35 +55984,Canada,2004,Polio,Infectious,12.58,0.45,3.44,19-35,Male,234120,50.01,3.16,7.27,Medication,22388.0,No,60.54,272.0,7.23,69650.0,0.71,21.1 +55990,Japan,2006,Cancer,Cardiovascular,11.11,9.0,1.71,0-18,Female,199838,97.46,3.68,2.6,Vaccination,34363.0,No,58.44,612.0,9.72,37750.0,0.76,71.24 +55996,Nigeria,2014,Hepatitis,Neurological,3.15,4.48,3.19,36-60,Other,844785,88.25,3.71,7.89,Surgery,6648.0,No,75.15,529.0,6.14,84906.0,0.59,79.81 +55997,Nigeria,2004,Leprosy,Cardiovascular,1.94,3.26,5.66,61+,Female,262076,83.47,2.75,3.08,Therapy,40869.0,Yes,96.7,122.0,0.28,18200.0,0.55,31.91 +56006,Germany,2016,Hepatitis,Respiratory,3.93,12.8,7.64,36-60,Female,505614,73.23,4.88,6.45,Surgery,17972.0,No,67.93,1093.0,0.05,25828.0,0.68,48.79 +56007,Mexico,2024,Measles,Infectious,2.01,9.87,7.77,36-60,Other,851470,73.22,3.83,4.37,Medication,446.0,Yes,50.16,268.0,8.94,24904.0,0.83,54.6 +56011,India,2024,Asthma,Parasitic,13.9,1.67,1.81,19-35,Other,592299,66.99,2.15,4.48,Therapy,9885.0,No,80.16,777.0,7.08,62546.0,0.78,65.38 +56026,Russia,2013,Hypertension,Infectious,15.7,6.89,4.36,61+,Male,62025,59.66,3.26,7.72,Surgery,33122.0,No,60.34,3693.0,3.84,68055.0,0.58,38.05 +56027,Australia,2011,Hepatitis,Viral,18.79,0.87,4.79,19-35,Other,858438,90.6,2.41,5.29,Medication,37908.0,Yes,85.6,1744.0,9.03,84158.0,0.75,61.97 +56035,Saudi Arabia,2009,Polio,Autoimmune,15.66,10.15,9.4,0-18,Male,680810,97.96,1.47,1.21,Medication,22437.0,No,93.8,3974.0,7.25,6106.0,0.5,28.28 +56037,Japan,2010,HIV/AIDS,Bacterial,7.8,8.19,3.66,0-18,Male,917186,83.83,4.78,1.62,Therapy,6453.0,No,97.81,3885.0,2.07,23929.0,0.76,22.68 +56046,India,2021,Malaria,Respiratory,0.67,8.12,9.98,36-60,Other,310651,72.84,2.23,5.98,Medication,38568.0,Yes,78.68,4546.0,5.24,27432.0,0.85,43.84 +56047,Brazil,2005,COVID-19,Parasitic,6.09,3.63,4.48,19-35,Female,409055,61.09,2.13,5.52,Vaccination,48060.0,Yes,65.07,2064.0,7.8,11659.0,0.8,61.67 +56050,Japan,2000,COVID-19,Infectious,2.62,14.67,9.91,0-18,Male,262058,82.66,0.78,7.88,Surgery,30458.0,No,56.9,1365.0,8.6,97619.0,0.68,62.31 +56051,Nigeria,2010,Diabetes,Parasitic,0.88,11.95,6.65,19-35,Male,897673,70.3,1.05,3.79,Medication,28557.0,Yes,58.04,1576.0,0.13,84659.0,0.87,57.17 +56053,Turkey,2007,Zika,Cardiovascular,10.93,1.45,4.27,36-60,Other,734026,79.44,3.9,3.1,Vaccination,7610.0,Yes,84.34,2220.0,2.51,99689.0,0.49,59.28 +56054,UK,2008,Influenza,Autoimmune,8.15,3.55,6.06,36-60,Other,341683,95.89,4.14,4.23,Vaccination,39413.0,No,95.07,166.0,4.36,38803.0,0.77,59.14 +56063,China,2011,Tuberculosis,Viral,15.23,0.59,5.87,0-18,Female,773544,92.73,3.34,8.22,Medication,20889.0,No,54.18,3684.0,4.9,47883.0,0.85,70.13 +56071,Argentina,2017,Alzheimer's Disease,Infectious,17.18,6.3,3.56,0-18,Other,581312,82.56,0.52,5.51,Surgery,1040.0,Yes,96.48,3501.0,4.67,46074.0,0.55,82.38 +56074,Australia,2010,Alzheimer's Disease,Parasitic,3.75,14.96,7.0,0-18,Female,132046,54.96,3.86,1.61,Therapy,11245.0,No,89.25,3118.0,9.89,48026.0,0.68,26.18 +56075,Indonesia,2011,COVID-19,Chronic,1.66,1.81,2.09,0-18,Female,776613,83.89,3.86,6.74,Therapy,31189.0,Yes,72.8,1281.0,2.01,46890.0,0.73,87.71 +56078,Brazil,2001,Parkinson's Disease,Chronic,12.02,0.92,1.52,19-35,Other,150097,76.24,3.6,7.41,Surgery,34440.0,No,79.55,4664.0,0.79,90482.0,0.83,36.71 +56082,Canada,2012,Alzheimer's Disease,Respiratory,13.0,4.11,8.33,19-35,Female,391379,76.28,1.21,9.51,Surgery,4773.0,No,71.08,1487.0,1.22,17857.0,0.65,76.02 +56085,Mexico,2017,Ebola,Chronic,5.25,9.01,7.51,36-60,Male,676043,83.91,2.9,1.1,Surgery,37464.0,Yes,61.45,536.0,8.51,63676.0,0.5,78.01 +56092,India,2019,Ebola,Autoimmune,7.07,10.19,5.1,61+,Male,770930,76.9,4.9,8.45,Surgery,31831.0,No,79.81,4686.0,1.53,7457.0,0.81,79.0 +56101,Nigeria,2015,Rabies,Bacterial,0.35,8.9,6.22,61+,Other,111342,70.23,3.42,9.13,Therapy,31142.0,Yes,69.28,1729.0,0.86,41450.0,0.8,84.22 +56103,Russia,2004,Asthma,Respiratory,19.28,12.57,8.32,19-35,Female,506599,62.76,2.95,5.26,Surgery,1276.0,Yes,79.31,4720.0,3.66,16264.0,0.52,61.41 +56110,Saudi Arabia,2006,Hypertension,Respiratory,8.72,4.39,7.21,19-35,Other,576196,61.68,3.38,5.12,Vaccination,22195.0,No,74.26,3878.0,2.38,79475.0,0.51,59.53 +56113,Mexico,2022,Rabies,Parasitic,10.46,2.8,6.77,36-60,Other,706809,59.44,3.87,2.71,Therapy,8219.0,Yes,92.75,4270.0,5.47,39082.0,0.69,46.33 +56114,Saudi Arabia,2019,Diabetes,Respiratory,2.03,10.47,2.48,0-18,Male,852957,82.14,1.37,8.57,Surgery,42499.0,No,75.95,2389.0,1.52,71165.0,0.44,49.19 +56115,South Africa,2003,COVID-19,Viral,9.61,11.44,8.03,0-18,Male,575383,73.41,1.98,8.1,Therapy,5247.0,Yes,86.47,1395.0,3.99,71402.0,0.63,53.01 +56120,Turkey,2005,Alzheimer's Disease,Parasitic,19.88,5.61,3.71,61+,Female,271808,52.21,0.84,4.94,Vaccination,28767.0,No,85.89,1914.0,6.47,47452.0,0.85,79.69 +56123,Canada,2014,Polio,Respiratory,13.25,10.87,7.8,36-60,Other,28079,56.05,4.09,3.55,Medication,8439.0,No,50.43,359.0,0.45,82214.0,0.54,80.33 +56124,India,2013,Polio,Metabolic,8.5,0.96,2.12,36-60,Other,598965,56.96,3.14,4.5,Vaccination,8712.0,No,91.94,3256.0,7.98,27041.0,0.56,80.96 +56127,Nigeria,2019,Asthma,Neurological,13.13,7.49,1.46,36-60,Other,670117,50.62,1.96,2.03,Medication,268.0,No,74.0,3491.0,1.49,84339.0,0.86,25.63 +56129,Japan,2005,Cholera,Viral,10.74,4.79,4.17,0-18,Other,947532,95.02,3.46,8.34,Therapy,25353.0,Yes,86.22,4592.0,2.23,83142.0,0.45,87.65 +56132,Russia,2010,Malaria,Viral,19.49,5.9,8.94,61+,Other,535321,98.83,0.54,7.81,Surgery,28089.0,Yes,73.34,4831.0,1.54,6142.0,0.71,31.19 +56133,Argentina,2005,Influenza,Cardiovascular,4.08,6.26,4.01,61+,Other,570089,52.25,1.08,6.91,Therapy,22198.0,No,85.6,4519.0,1.08,62009.0,0.48,85.2 +56134,Japan,2009,Cancer,Autoimmune,1.24,4.56,8.77,19-35,Female,88385,98.39,4.77,5.97,Vaccination,7217.0,Yes,96.27,2669.0,1.52,53711.0,0.53,63.23 +56140,Saudi Arabia,2023,Parkinson's Disease,Autoimmune,18.48,8.37,7.22,19-35,Other,828996,51.58,4.8,9.92,Vaccination,40832.0,Yes,61.95,2113.0,6.28,47283.0,0.81,32.09 +56146,Canada,2004,Asthma,Neurological,10.82,11.22,0.7,0-18,Male,565730,89.91,4.7,4.84,Surgery,50000.0,No,56.49,1151.0,2.09,54597.0,0.48,32.75 +56149,Russia,2017,Cholera,Respiratory,17.77,1.44,2.64,19-35,Male,598157,74.33,3.31,7.08,Therapy,22317.0,No,86.86,20.0,6.64,89527.0,0.54,28.24 +56159,France,2022,Diabetes,Autoimmune,17.01,12.2,5.99,19-35,Other,583034,72.42,1.6,9.42,Medication,49545.0,No,91.46,3324.0,0.92,69170.0,0.89,44.45 +56160,Brazil,2016,Leprosy,Parasitic,18.92,12.82,2.81,36-60,Other,347184,86.07,2.7,6.79,Medication,48075.0,No,68.8,1481.0,6.49,6805.0,0.87,76.75 +56165,Italy,2002,Cancer,Genetic,10.55,11.05,3.66,19-35,Female,628669,71.5,4.71,2.99,Vaccination,47903.0,Yes,67.19,2947.0,6.37,31732.0,0.81,79.86 +56176,France,2020,Measles,Parasitic,8.78,7.36,6.66,61+,Female,259944,65.61,1.61,9.15,Surgery,33819.0,No,80.01,7.0,4.12,97410.0,0.5,51.59 +56182,India,2016,Malaria,Cardiovascular,13.72,9.54,2.05,61+,Other,808687,62.01,1.68,8.35,Surgery,28462.0,Yes,77.25,1721.0,6.0,18454.0,0.8,24.46 +56183,Russia,2007,Malaria,Bacterial,7.72,8.41,7.58,19-35,Male,462909,65.89,1.62,6.33,Surgery,2485.0,Yes,81.84,2568.0,5.71,9983.0,0.68,46.24 +56189,Italy,2017,Hepatitis,Infectious,14.5,5.09,1.87,19-35,Male,648376,91.87,0.53,4.94,Medication,7873.0,No,60.04,4995.0,5.5,19083.0,0.46,77.88 +56191,Nigeria,2013,Measles,Parasitic,3.71,8.27,2.44,19-35,Female,872075,82.3,1.9,8.81,Vaccination,18284.0,No,63.61,2678.0,9.29,44469.0,0.76,71.01 +56192,USA,2011,Tuberculosis,Chronic,11.84,9.89,1.18,36-60,Male,21636,89.42,3.76,3.27,Therapy,35336.0,Yes,85.04,1448.0,8.0,33050.0,0.58,67.23 +56203,UK,2021,COVID-19,Viral,7.68,3.17,8.32,61+,Other,260706,82.5,3.45,3.65,Surgery,23738.0,No,76.69,4460.0,1.19,97383.0,0.86,30.97 +56208,USA,2024,HIV/AIDS,Neurological,13.54,3.17,2.98,19-35,Other,116692,92.87,1.71,6.88,Vaccination,29299.0,No,90.73,2852.0,9.01,18868.0,0.77,89.07 +56211,Indonesia,2006,Asthma,Metabolic,2.02,13.65,3.48,36-60,Male,261658,79.97,4.93,7.65,Medication,19106.0,Yes,93.71,2462.0,3.06,42749.0,0.82,22.62 +56222,Turkey,2003,Asthma,Infectious,6.16,5.0,0.4,61+,Female,699051,66.57,2.76,3.64,Vaccination,46356.0,No,76.85,3261.0,4.12,62949.0,0.67,72.14 +56224,Argentina,2008,Cancer,Genetic,4.17,7.73,9.78,36-60,Female,551499,98.0,2.28,6.26,Medication,24486.0,No,70.88,4734.0,3.41,57283.0,0.54,33.87 +56229,USA,2001,Measles,Infectious,1.48,10.59,5.58,61+,Other,105247,86.74,0.79,3.62,Therapy,41496.0,Yes,89.74,1124.0,3.46,19065.0,0.49,39.91 +56236,UK,2006,Alzheimer's Disease,Autoimmune,10.48,13.8,2.63,0-18,Female,425105,69.29,3.34,9.13,Medication,16283.0,Yes,87.45,3446.0,1.48,2596.0,0.64,35.11 +56244,South Korea,2013,Tuberculosis,Parasitic,5.23,5.77,3.85,61+,Male,635081,92.35,1.13,4.05,Surgery,5693.0,Yes,61.14,4612.0,6.27,79804.0,0.83,48.81 +56246,Italy,2023,Asthma,Cardiovascular,14.26,11.91,5.61,19-35,Male,545948,75.51,1.65,4.87,Therapy,18767.0,No,69.59,2960.0,3.88,80869.0,0.62,44.53 +56248,India,2014,Influenza,Respiratory,9.09,6.66,7.54,19-35,Female,844430,76.18,1.02,7.26,Medication,49232.0,No,53.85,487.0,6.57,24491.0,0.69,81.07 +56252,France,2021,Dengue,Viral,11.54,1.45,8.29,0-18,Female,713115,54.34,4.71,1.72,Vaccination,35450.0,No,54.21,3077.0,5.11,60444.0,0.55,66.63 +56253,USA,2020,Alzheimer's Disease,Cardiovascular,11.74,4.72,3.82,19-35,Female,498763,65.3,4.22,2.31,Surgery,22793.0,Yes,66.76,4432.0,0.22,53374.0,0.67,69.14 +56255,USA,2014,Cholera,Metabolic,3.21,5.21,3.24,36-60,Male,462268,65.67,2.8,9.43,Therapy,42539.0,No,93.68,3502.0,2.86,45925.0,0.67,85.96 +56265,Saudi Arabia,2002,Malaria,Neurological,15.91,11.35,6.99,0-18,Female,738418,63.14,1.69,9.79,Therapy,44146.0,Yes,84.91,923.0,1.57,2801.0,0.88,40.91 +56266,Argentina,2009,Rabies,Viral,2.25,10.79,9.41,19-35,Male,19748,64.09,3.44,8.05,Vaccination,10875.0,No,56.3,2799.0,3.59,78203.0,0.42,75.32 +56273,South Africa,2009,Parkinson's Disease,Respiratory,9.02,5.89,2.71,61+,Other,925821,74.05,1.73,5.17,Surgery,29688.0,Yes,58.94,2725.0,6.56,13419.0,0.63,70.17 +56277,South Africa,2018,HIV/AIDS,Cardiovascular,3.61,0.4,9.48,36-60,Male,776248,94.86,4.04,1.92,Vaccination,1010.0,Yes,54.13,4187.0,3.63,54367.0,0.71,76.98 +56280,Germany,2003,HIV/AIDS,Bacterial,13.25,4.67,9.15,36-60,Female,96518,87.51,1.96,9.33,Surgery,29482.0,No,52.28,1361.0,3.16,98360.0,0.88,23.77 +56288,China,2019,Parkinson's Disease,Viral,9.43,12.85,6.87,36-60,Male,780882,96.12,2.76,5.05,Surgery,22167.0,Yes,74.97,3440.0,2.81,43548.0,0.68,45.61 +56293,USA,2021,Alzheimer's Disease,Neurological,13.22,1.41,1.81,19-35,Male,250120,52.48,4.23,5.75,Vaccination,27902.0,No,80.48,1855.0,9.5,2540.0,0.4,80.38 +56296,Germany,2004,Cancer,Respiratory,14.71,7.26,0.74,36-60,Female,236400,64.97,4.72,1.47,Vaccination,44728.0,No,60.86,3969.0,0.57,5714.0,0.85,38.74 +56305,Italy,2018,Malaria,Cardiovascular,13.14,12.71,7.83,0-18,Male,686020,83.68,1.5,5.18,Therapy,12113.0,Yes,58.95,677.0,4.14,57648.0,0.68,25.38 +56308,Canada,2003,Polio,Genetic,3.79,8.15,7.46,19-35,Male,637278,89.15,3.78,3.65,Therapy,45831.0,No,55.61,815.0,2.43,82130.0,0.47,88.49 +56313,Nigeria,2007,Cholera,Neurological,7.77,6.48,1.1,61+,Female,832494,86.57,2.9,5.68,Surgery,36940.0,No,83.37,2394.0,1.74,80653.0,0.46,68.55 +56323,South Korea,2015,Ebola,Bacterial,2.04,0.96,2.42,0-18,Female,725935,59.35,4.11,1.31,Surgery,42923.0,Yes,91.46,1239.0,1.68,72253.0,0.77,74.87 +56344,Mexico,2008,Hepatitis,Infectious,13.75,11.66,2.08,0-18,Female,371241,64.34,1.23,1.34,Therapy,1382.0,No,64.02,2039.0,8.85,43023.0,0.48,34.97 +56345,India,2000,Rabies,Parasitic,17.85,6.51,9.35,36-60,Other,82294,90.68,3.91,1.21,Therapy,44432.0,Yes,89.12,1649.0,0.72,15907.0,0.64,40.26 +56349,USA,2021,Parkinson's Disease,Neurological,9.11,3.74,3.63,61+,Other,333781,87.49,4.01,8.53,Medication,46349.0,Yes,57.44,706.0,3.46,6936.0,0.51,39.33 +56350,Indonesia,2008,Malaria,Cardiovascular,15.77,13.26,6.99,36-60,Male,501744,98.98,4.44,3.28,Medication,40627.0,No,97.22,1411.0,0.44,2024.0,0.65,78.88 +56353,Germany,2005,Tuberculosis,Genetic,14.92,8.74,9.56,19-35,Male,975285,95.2,3.79,8.73,Medication,44624.0,No,68.12,4926.0,4.09,96905.0,0.47,72.82 +56355,Argentina,2010,Cancer,Autoimmune,13.08,7.85,7.31,0-18,Male,267151,89.6,1.09,2.45,Surgery,16680.0,No,58.8,751.0,1.21,76620.0,0.47,57.58 +56357,South Africa,2019,Dengue,Neurological,5.95,11.22,0.68,61+,Other,267720,82.53,2.95,7.62,Surgery,22054.0,Yes,70.09,2660.0,8.31,47541.0,0.61,28.2 +56366,South Africa,2016,Measles,Cardiovascular,10.29,6.64,2.39,61+,Other,293916,88.8,2.08,1.97,Surgery,18676.0,No,65.87,934.0,4.58,13205.0,0.78,89.79 +56375,South Africa,2004,Hepatitis,Autoimmune,9.21,2.96,1.32,19-35,Female,847921,54.6,2.67,2.94,Surgery,13762.0,Yes,91.86,1428.0,8.95,95483.0,0.77,76.11 +56376,Argentina,2021,Alzheimer's Disease,Autoimmune,5.78,5.97,5.25,19-35,Female,967484,80.46,3.75,8.6,Surgery,28050.0,Yes,83.26,4171.0,0.76,95911.0,0.59,52.96 +56378,Nigeria,2006,Cholera,Infectious,6.78,2.35,7.89,19-35,Female,59839,98.11,1.69,3.1,Medication,20890.0,Yes,58.46,3880.0,1.33,45501.0,0.41,21.66 +56382,USA,2006,Alzheimer's Disease,Chronic,0.42,3.52,6.15,61+,Female,380331,89.26,2.73,5.73,Therapy,39371.0,Yes,63.11,217.0,3.28,81007.0,0.71,75.1 +56385,UK,2002,Hepatitis,Viral,9.38,9.18,5.34,61+,Other,924167,87.07,0.89,6.57,Vaccination,22524.0,No,78.53,2291.0,4.87,61864.0,0.72,24.59 +56394,UK,2016,Malaria,Genetic,19.83,6.14,5.05,19-35,Male,713187,59.55,4.55,6.79,Therapy,8277.0,Yes,76.2,1569.0,6.33,58221.0,0.84,77.19 +56402,Turkey,2024,Alzheimer's Disease,Bacterial,19.89,3.93,7.59,36-60,Female,541339,65.69,2.99,7.13,Therapy,29840.0,No,92.88,4086.0,4.7,34610.0,0.47,52.8 +56412,Brazil,2007,Tuberculosis,Viral,10.68,2.18,4.78,61+,Male,727041,75.76,3.89,2.58,Vaccination,18979.0,Yes,77.87,1582.0,7.1,18246.0,0.52,81.13 +56415,UK,2021,COVID-19,Cardiovascular,5.52,8.12,5.57,61+,Other,503445,69.35,1.92,8.33,Vaccination,23401.0,No,84.87,1113.0,8.93,43403.0,0.56,81.54 +56417,Australia,2024,Influenza,Respiratory,12.93,8.17,0.99,36-60,Female,15858,95.86,1.5,4.69,Vaccination,14883.0,No,93.08,518.0,2.45,76178.0,0.74,75.19 +56420,Australia,2010,Asthma,Genetic,12.07,14.52,1.44,36-60,Male,48022,89.59,3.23,8.15,Medication,10839.0,No,98.1,1260.0,5.57,67360.0,0.84,81.73 +56423,Italy,2016,Parkinson's Disease,Chronic,7.11,2.8,5.9,19-35,Other,670351,69.47,3.84,8.63,Surgery,601.0,Yes,73.68,2522.0,2.82,60513.0,0.89,78.28 +56427,Indonesia,2003,Hypertension,Bacterial,13.43,6.82,4.38,19-35,Other,673295,51.57,1.21,3.32,Therapy,48888.0,Yes,79.56,1410.0,5.73,67973.0,0.89,83.53 +56436,Australia,2011,Malaria,Parasitic,7.2,6.23,0.27,0-18,Male,203790,59.57,0.78,6.39,Surgery,19035.0,Yes,89.27,4341.0,5.14,70931.0,0.61,87.08 +56444,South Korea,2019,Alzheimer's Disease,Viral,17.75,2.21,7.1,36-60,Other,577628,84.15,1.15,4.7,Vaccination,29709.0,Yes,96.03,4683.0,9.35,6028.0,0.42,68.8 +56452,India,2012,HIV/AIDS,Parasitic,19.45,2.09,5.27,61+,Female,476252,70.27,1.92,3.65,Vaccination,35950.0,Yes,74.11,2958.0,7.64,71424.0,0.4,27.05 +56464,Argentina,2018,Zika,Parasitic,15.02,7.11,2.7,19-35,Male,321587,68.12,3.06,1.16,Medication,7472.0,Yes,61.96,4738.0,4.64,99048.0,0.51,51.69 +56473,Indonesia,2011,Hepatitis,Genetic,2.46,10.06,3.6,61+,Female,11674,57.0,4.82,4.76,Surgery,2153.0,Yes,96.02,1923.0,1.37,10442.0,0.51,47.74 +56479,Turkey,2023,Ebola,Neurological,16.17,14.08,8.52,36-60,Male,110871,84.86,0.89,2.54,Medication,8720.0,No,55.95,3164.0,7.07,73273.0,0.76,47.67 +56480,Canada,2007,Ebola,Infectious,12.71,3.37,0.68,36-60,Other,883944,58.21,4.04,1.62,Medication,4381.0,Yes,77.66,97.0,1.26,44540.0,0.49,73.65 +56488,South Korea,2007,Polio,Parasitic,15.48,1.25,4.69,36-60,Male,821264,91.18,4.27,8.3,Surgery,24609.0,Yes,84.78,3186.0,0.17,47097.0,0.76,71.56 +56489,Nigeria,2008,Leprosy,Viral,13.38,5.49,6.11,36-60,Other,252181,50.62,1.76,0.87,Vaccination,31348.0,Yes,70.15,3320.0,9.11,46482.0,0.58,49.06 +56492,Japan,2011,Asthma,Chronic,14.42,3.59,2.53,36-60,Other,759165,98.55,3.4,2.87,Therapy,3401.0,Yes,94.93,3900.0,6.56,49393.0,0.81,31.24 +56499,Argentina,2018,Malaria,Infectious,8.59,3.49,7.18,61+,Male,122454,59.53,1.87,7.34,Medication,24893.0,No,57.52,1291.0,4.42,65548.0,0.75,88.77 +56506,Italy,2024,Hepatitis,Genetic,16.98,0.97,2.5,19-35,Male,620170,77.1,2.91,7.53,Therapy,47198.0,Yes,90.8,2147.0,1.4,37313.0,0.89,70.92 +56507,Brazil,2024,Hypertension,Bacterial,15.72,5.93,5.92,61+,Male,820743,68.77,3.3,7.93,Surgery,41150.0,Yes,94.49,2203.0,6.59,93729.0,0.8,21.02 +56513,India,2021,HIV/AIDS,Autoimmune,17.93,1.91,1.55,19-35,Male,256195,89.23,1.76,2.79,Therapy,47062.0,Yes,67.25,17.0,3.58,17858.0,0.9,57.78 +56526,Mexico,2004,Dengue,Genetic,10.92,6.55,6.95,0-18,Male,334724,58.29,0.79,5.25,Medication,37299.0,No,93.4,1878.0,8.99,33830.0,0.45,75.1 +56529,Saudi Arabia,2002,Hypertension,Chronic,17.24,10.65,8.65,36-60,Male,321446,62.53,3.68,5.48,Medication,4509.0,No,60.16,12.0,4.97,13658.0,0.65,20.59 +56532,South Korea,2021,Hepatitis,Metabolic,9.22,6.47,1.4,0-18,Other,783215,65.51,3.42,2.14,Medication,33809.0,No,97.01,2444.0,5.22,27902.0,0.43,61.43 +56536,Turkey,2016,Parkinson's Disease,Cardiovascular,18.64,6.17,4.6,36-60,Male,459779,56.6,1.87,8.68,Medication,131.0,No,97.15,1494.0,5.88,84578.0,0.62,56.57 +56539,Japan,2021,Asthma,Chronic,18.92,8.37,7.57,19-35,Male,682716,52.71,3.14,6.83,Surgery,11996.0,Yes,65.66,4736.0,6.55,7471.0,0.83,56.97 +56549,Australia,2020,Zika,Bacterial,5.13,3.32,6.78,36-60,Other,12410,83.52,1.88,1.73,Therapy,49957.0,No,50.19,2091.0,4.23,25858.0,0.88,87.0 +56550,South Korea,2003,COVID-19,Cardiovascular,15.67,5.18,3.57,61+,Male,575238,73.26,2.75,5.59,Surgery,40749.0,Yes,88.46,4520.0,5.48,15235.0,0.59,41.84 +56554,China,2002,Malaria,Neurological,18.02,5.64,2.24,19-35,Other,964308,79.86,3.55,5.67,Surgery,37669.0,No,59.86,275.0,3.57,88438.0,0.79,23.21 +56555,USA,2016,Ebola,Viral,0.53,6.89,5.89,36-60,Male,864591,63.27,0.75,5.09,Vaccination,39941.0,Yes,80.92,595.0,1.44,16739.0,0.6,35.92 +56557,Brazil,2016,Polio,Genetic,18.34,2.93,5.3,19-35,Female,903605,91.36,3.7,5.41,Surgery,18602.0,Yes,83.6,741.0,6.78,74909.0,0.83,46.09 +56560,Canada,2013,HIV/AIDS,Autoimmune,11.67,13.55,2.18,61+,Other,116449,89.71,1.54,9.04,Therapy,39384.0,Yes,58.47,4344.0,9.97,75003.0,0.59,36.45 +56564,Italy,2024,Cholera,Genetic,2.07,10.03,0.25,0-18,Male,71179,93.92,3.91,3.76,Surgery,16226.0,Yes,66.56,1000.0,9.94,95791.0,0.73,52.3 +56569,Argentina,2006,HIV/AIDS,Autoimmune,0.24,4.57,3.08,19-35,Other,513065,51.27,3.2,3.22,Medication,36533.0,Yes,86.06,4500.0,3.24,73366.0,0.85,25.63 +56573,Italy,2010,COVID-19,Parasitic,10.83,0.5,8.54,19-35,Male,119202,68.83,0.51,5.95,Vaccination,4195.0,Yes,68.86,2284.0,2.37,99148.0,0.77,65.27 +56574,USA,2006,Measles,Parasitic,12.03,10.07,3.14,19-35,Female,382126,51.3,3.69,7.14,Therapy,26472.0,Yes,88.51,401.0,8.37,22627.0,0.63,43.87 +56577,India,2017,Tuberculosis,Genetic,10.09,7.42,0.38,19-35,Female,808456,79.44,4.82,3.43,Medication,25556.0,Yes,52.81,814.0,5.85,68413.0,0.89,75.42 +56599,Saudi Arabia,2019,Leprosy,Bacterial,18.79,12.2,9.53,19-35,Other,561790,70.03,0.5,7.53,Medication,18419.0,No,64.61,3272.0,0.64,33139.0,0.76,80.12 +56602,Mexico,2013,Polio,Autoimmune,8.89,4.13,0.21,0-18,Female,244847,58.51,1.65,2.84,Therapy,38406.0,No,87.96,1947.0,0.09,57809.0,0.69,39.03 +56605,Japan,2015,Cancer,Respiratory,8.02,2.36,9.8,61+,Male,647388,84.4,4.7,0.82,Surgery,41149.0,Yes,70.59,1733.0,8.28,58863.0,0.86,64.97 +56607,Turkey,2010,Diabetes,Genetic,7.37,2.6,8.64,0-18,Other,150484,54.88,2.38,0.64,Therapy,17365.0,No,98.47,3604.0,7.87,61977.0,0.43,37.54 +56609,Germany,2003,Hepatitis,Genetic,16.33,10.29,3.28,0-18,Male,875627,57.48,0.6,1.09,Medication,28679.0,No,95.19,2129.0,5.77,54321.0,0.9,89.06 +56613,Nigeria,2014,HIV/AIDS,Neurological,9.86,10.38,6.03,19-35,Male,692272,52.92,1.34,3.84,Surgery,12367.0,Yes,65.06,2242.0,5.86,77979.0,0.62,46.81 +56618,Nigeria,2016,Dengue,Genetic,13.56,12.27,4.68,36-60,Male,991220,63.44,2.49,1.16,Medication,3408.0,No,79.84,3543.0,9.87,7052.0,0.65,61.33 +56620,Germany,2003,Cancer,Autoimmune,8.49,10.41,0.48,61+,Other,991152,97.66,4.1,0.64,Therapy,31693.0,Yes,55.22,4408.0,3.65,51644.0,0.54,57.23 +56624,Italy,2003,Cancer,Viral,7.2,7.0,0.11,19-35,Female,319012,72.94,2.57,0.59,Therapy,31374.0,Yes,70.92,2373.0,9.08,86649.0,0.52,53.19 +56631,South Korea,2023,Measles,Respiratory,15.24,11.59,3.18,61+,Male,783240,84.7,3.64,6.96,Therapy,31626.0,Yes,87.22,1901.0,9.77,33605.0,0.51,49.67 +56638,Russia,2015,Ebola,Respiratory,16.87,2.28,9.58,36-60,Male,717471,59.31,3.99,6.5,Therapy,39024.0,No,62.76,434.0,6.75,15142.0,0.83,39.3 +56650,India,2018,Dengue,Respiratory,14.34,4.74,6.11,19-35,Female,811285,91.64,2.2,7.88,Surgery,26916.0,No,71.77,2206.0,6.58,4417.0,0.87,80.57 +56656,Japan,2023,Dengue,Cardiovascular,13.7,6.13,2.6,36-60,Female,806238,98.08,2.42,4.95,Vaccination,40640.0,Yes,89.99,4642.0,0.35,4233.0,0.46,76.56 +56663,Turkey,2006,Influenza,Respiratory,13.06,8.81,3.89,61+,Female,96042,56.09,1.39,2.56,Surgery,47925.0,No,56.93,3942.0,1.85,88596.0,0.53,48.4 +56664,South Africa,2001,Influenza,Genetic,10.32,6.25,5.79,36-60,Male,52836,68.66,0.7,5.93,Surgery,48590.0,No,74.15,2940.0,2.4,37498.0,0.84,84.93 +56672,USA,2001,Dengue,Bacterial,6.48,13.74,3.9,61+,Male,852458,58.27,4.84,1.59,Therapy,13396.0,Yes,64.8,1509.0,1.11,77698.0,0.63,54.21 +56673,India,2014,Leprosy,Cardiovascular,17.89,11.64,9.4,19-35,Female,654055,93.6,1.89,4.05,Surgery,10003.0,No,74.7,4415.0,7.09,12424.0,0.58,63.18 +56674,France,2005,Dengue,Infectious,9.46,7.97,6.94,19-35,Male,8894,69.53,3.23,0.72,Vaccination,24749.0,No,62.47,2749.0,7.3,89293.0,0.75,34.67 +56679,Russia,2001,HIV/AIDS,Bacterial,11.87,6.3,6.62,0-18,Female,690344,90.84,3.8,2.43,Surgery,37352.0,Yes,71.6,805.0,3.55,89081.0,0.8,74.96 +56683,France,2023,Hypertension,Genetic,11.49,10.04,6.17,36-60,Other,726645,91.04,1.06,6.45,Surgery,31647.0,Yes,51.41,3229.0,7.08,60062.0,0.72,27.4 +56684,Nigeria,2004,Ebola,Chronic,17.85,14.54,4.23,19-35,Other,950806,88.7,2.93,1.94,Therapy,11428.0,No,75.44,3312.0,9.4,14427.0,0.66,47.05 +56686,Nigeria,2011,Diabetes,Metabolic,1.45,7.11,3.18,0-18,Other,359506,81.55,4.71,3.61,Therapy,27461.0,No,54.27,2015.0,6.59,98631.0,0.86,53.53 +56688,Germany,2024,Tuberculosis,Bacterial,19.45,6.78,3.19,61+,Other,558716,53.64,3.21,7.33,Therapy,12295.0,No,79.99,3220.0,2.25,28818.0,0.77,86.54 +56692,Turkey,2013,Influenza,Cardiovascular,11.42,9.0,5.12,19-35,Other,340951,69.46,1.81,7.85,Medication,24594.0,No,58.62,172.0,3.71,90171.0,0.47,80.25 +56699,South Africa,2013,Hypertension,Autoimmune,13.3,7.14,4.91,0-18,Male,309013,72.44,2.62,5.4,Therapy,45087.0,No,60.27,1784.0,3.44,77315.0,0.43,35.23 +56710,Australia,2024,Leprosy,Autoimmune,1.99,10.15,5.05,0-18,Female,4733,90.85,2.6,2.86,Therapy,15510.0,No,65.79,2927.0,6.54,19702.0,0.79,60.71 +56711,UK,2020,Ebola,Neurological,16.77,12.43,5.19,36-60,Male,858557,86.45,1.84,2.53,Medication,5054.0,Yes,69.35,2821.0,1.09,3342.0,0.68,57.19 +56713,Russia,2016,Cholera,Viral,11.89,6.87,8.25,61+,Female,205451,66.79,3.23,7.62,Therapy,40723.0,No,66.63,4036.0,2.56,76196.0,0.67,59.48 +56717,Japan,2021,Leprosy,Metabolic,18.1,4.39,9.09,19-35,Female,563050,89.24,1.8,8.03,Vaccination,14372.0,No,76.91,4049.0,8.43,21604.0,0.42,49.11 +56727,Australia,2012,Rabies,Respiratory,10.09,5.8,4.24,61+,Male,986575,75.02,1.89,1.19,Therapy,4066.0,Yes,50.23,2584.0,3.33,6624.0,0.47,21.79 +56728,UK,2003,Malaria,Bacterial,10.09,2.16,8.26,19-35,Male,778964,96.32,3.98,2.92,Surgery,15092.0,Yes,68.0,1588.0,5.45,96740.0,0.84,71.93 +56729,Germany,2021,Ebola,Metabolic,3.21,10.47,7.33,19-35,Male,151399,55.53,2.78,8.12,Medication,20788.0,Yes,82.02,3955.0,2.72,89353.0,0.71,63.92 +56730,India,2009,COVID-19,Parasitic,15.27,6.41,7.03,0-18,Male,203502,69.5,0.93,1.02,Surgery,11627.0,Yes,73.64,3195.0,8.6,76742.0,0.68,69.84 +56732,Saudi Arabia,2009,Hypertension,Chronic,17.41,14.33,9.92,36-60,Other,540712,96.94,3.65,6.83,Vaccination,22831.0,No,72.05,2571.0,5.06,61917.0,0.86,34.38 +56750,China,2015,COVID-19,Viral,18.1,12.48,4.26,61+,Other,234870,65.08,3.55,3.43,Vaccination,15571.0,No,70.58,4054.0,7.9,53672.0,0.7,62.59 +56754,Mexico,2000,Influenza,Viral,19.55,5.76,4.48,0-18,Male,894540,85.63,3.58,4.01,Therapy,35915.0,No,85.95,1233.0,2.96,26477.0,0.42,69.3 +56763,Australia,2010,Cholera,Infectious,10.57,11.87,4.4,0-18,Male,729722,98.63,4.56,3.88,Vaccination,37217.0,Yes,93.05,2831.0,5.67,66659.0,0.43,78.6 +56776,Italy,2002,Dengue,Chronic,17.63,9.57,0.68,19-35,Other,304522,79.23,1.43,9.56,Therapy,20940.0,Yes,95.57,1750.0,1.51,28514.0,0.59,64.64 +56779,Nigeria,2009,Measles,Infectious,16.65,4.03,0.78,61+,Female,943012,54.38,2.45,2.09,Therapy,15592.0,Yes,96.5,4608.0,5.87,8337.0,0.75,47.52 +56780,USA,2014,Leprosy,Cardiovascular,6.41,14.06,6.59,0-18,Other,210477,70.18,1.38,1.71,Vaccination,14502.0,Yes,95.49,4028.0,2.72,77839.0,0.81,32.06 +56782,Saudi Arabia,2004,HIV/AIDS,Autoimmune,19.05,12.36,7.24,36-60,Other,292265,97.3,1.81,6.78,Medication,37239.0,Yes,92.63,4305.0,3.84,41906.0,0.7,49.17 +56788,India,2021,Leprosy,Genetic,16.37,10.9,8.11,61+,Male,217192,96.08,3.34,0.98,Therapy,1262.0,No,76.43,1039.0,9.4,65176.0,0.89,25.8 +56790,Italy,2013,Alzheimer's Disease,Genetic,2.98,7.88,1.83,19-35,Male,213538,91.12,2.39,3.57,Therapy,3362.0,Yes,56.04,2435.0,0.8,50751.0,0.53,25.64 +56792,Canada,2003,Measles,Genetic,14.74,3.25,8.01,19-35,Other,681753,63.99,1.94,7.33,Therapy,30064.0,Yes,93.0,2015.0,4.19,41029.0,0.59,47.4 +56795,Indonesia,2013,Diabetes,Autoimmune,5.43,2.58,4.81,36-60,Male,878646,99.81,4.63,6.68,Therapy,32903.0,No,86.67,4111.0,4.6,49453.0,0.42,66.23 +56799,Indonesia,2022,Alzheimer's Disease,Infectious,0.58,11.65,3.14,61+,Male,735225,62.88,2.34,9.17,Surgery,46148.0,Yes,96.2,1042.0,3.51,38404.0,0.75,54.27 +56803,Turkey,2012,Polio,Respiratory,13.16,1.11,6.85,36-60,Male,833215,85.35,1.29,1.62,Therapy,38947.0,No,52.26,4425.0,5.31,81812.0,0.41,26.41 +56808,South Korea,2013,Cancer,Neurological,12.06,1.08,1.3,19-35,Male,229575,67.57,1.23,5.14,Therapy,27263.0,No,76.89,3100.0,2.46,87719.0,0.61,85.97 +56814,Italy,2016,Cancer,Metabolic,12.03,10.56,1.84,0-18,Other,66001,67.84,2.48,1.37,Surgery,32543.0,No,76.74,1531.0,1.33,56469.0,0.83,31.96 +56823,Germany,2009,Hepatitis,Respiratory,10.35,10.21,6.87,61+,Other,964765,64.59,2.86,9.09,Medication,29902.0,Yes,65.33,201.0,6.9,28956.0,0.81,50.7 +56825,Australia,2001,Cancer,Metabolic,17.03,13.86,8.55,36-60,Other,682836,84.22,1.43,0.69,Surgery,39068.0,Yes,74.89,4966.0,5.07,72370.0,0.78,51.17 +56828,China,2019,COVID-19,Infectious,9.58,6.29,0.98,61+,Male,39814,55.87,3.75,2.17,Medication,28063.0,Yes,50.16,3257.0,9.7,32449.0,0.81,31.72 +56831,Italy,2000,HIV/AIDS,Cardiovascular,3.2,7.93,9.1,0-18,Female,28390,87.57,1.06,5.73,Medication,18715.0,Yes,76.2,1438.0,4.67,68136.0,0.71,61.5 +56853,South Africa,2006,Rabies,Chronic,3.36,7.33,2.13,61+,Female,79213,87.16,3.4,1.51,Vaccination,32458.0,Yes,75.87,1503.0,3.43,64510.0,0.69,32.8 +56854,India,2011,COVID-19,Genetic,6.04,13.76,1.23,19-35,Female,959087,56.15,0.91,4.73,Surgery,34601.0,Yes,98.37,494.0,5.2,56488.0,0.46,70.49 +56857,Canada,2000,Parkinson's Disease,Viral,17.07,6.89,6.07,36-60,Female,528929,63.5,3.41,6.3,Therapy,24410.0,Yes,77.96,3504.0,4.96,21409.0,0.53,42.79 +56862,Brazil,2012,Asthma,Genetic,17.76,2.51,7.79,36-60,Female,739582,95.42,4.01,2.71,Therapy,6558.0,Yes,55.6,1318.0,6.27,56250.0,0.86,54.83 +56865,Canada,2008,Diabetes,Chronic,7.27,2.82,2.1,61+,Male,268967,51.78,1.47,2.02,Surgery,10630.0,No,79.83,1721.0,6.15,41064.0,0.82,83.55 +56866,Mexico,2010,Cholera,Neurological,13.65,5.13,1.0,19-35,Male,73662,63.33,4.31,3.05,Vaccination,46406.0,Yes,78.49,1794.0,2.39,12323.0,0.41,37.98 +56879,Indonesia,2001,Diabetes,Bacterial,16.64,13.13,6.91,61+,Male,742895,56.61,2.24,5.44,Medication,4406.0,Yes,96.78,2768.0,3.75,36812.0,0.68,20.57 +56887,Germany,2015,Dengue,Neurological,4.85,12.05,4.75,36-60,Female,109895,58.96,1.24,1.7,Therapy,28930.0,Yes,57.37,3313.0,9.28,42572.0,0.67,41.81 +56890,Saudi Arabia,2015,Rabies,Viral,11.6,1.62,0.24,61+,Female,564621,96.44,4.45,8.49,Surgery,10778.0,No,80.34,3288.0,7.97,99984.0,0.59,75.41 +56901,China,2005,Cancer,Chronic,0.84,5.42,7.0,19-35,Male,532719,69.79,4.43,9.3,Vaccination,12787.0,Yes,57.22,2161.0,3.27,26811.0,0.58,52.45 +56908,Saudi Arabia,2003,Cancer,Genetic,4.74,1.47,9.17,61+,Other,866666,84.85,4.32,6.87,Therapy,27893.0,No,89.66,241.0,9.07,38199.0,0.43,71.76 +56915,Italy,2002,Polio,Respiratory,12.5,10.61,5.07,36-60,Other,5693,54.34,2.53,3.05,Therapy,35684.0,No,62.37,4398.0,7.4,27057.0,0.56,45.36 +56916,Turkey,2016,Malaria,Cardiovascular,6.35,5.87,7.83,19-35,Female,739000,95.84,3.51,1.41,Surgery,47781.0,No,51.03,2877.0,6.72,55296.0,0.74,70.79 +56917,UK,2008,Leprosy,Autoimmune,9.29,11.93,3.91,36-60,Other,361949,80.9,2.3,6.08,Surgery,44852.0,No,53.54,1065.0,5.57,8680.0,0.76,57.12 +56919,Italy,2011,Dengue,Bacterial,8.85,1.57,8.29,0-18,Female,590837,72.98,2.19,2.28,Surgery,28766.0,No,79.39,1789.0,8.65,72802.0,0.58,72.08 +56924,Saudi Arabia,2023,Cholera,Viral,14.85,9.32,5.29,61+,Female,763173,58.1,4.5,9.24,Surgery,12499.0,No,65.93,1974.0,6.62,96423.0,0.56,63.61 +56925,Germany,2024,Hypertension,Genetic,14.86,3.55,1.41,0-18,Other,588233,83.29,3.28,4.01,Surgery,6534.0,No,84.56,3172.0,5.14,39581.0,0.51,44.11 +56928,China,2001,Asthma,Metabolic,2.15,3.08,8.77,0-18,Female,286585,77.42,2.16,4.27,Medication,21898.0,Yes,77.43,4084.0,1.07,51112.0,0.82,48.52 +56930,Indonesia,2019,Asthma,Infectious,0.11,1.11,1.76,19-35,Other,38958,72.88,0.71,9.97,Therapy,36807.0,Yes,89.54,4666.0,0.84,6154.0,0.46,63.25 +56932,Italy,2012,Ebola,Viral,7.98,13.48,3.31,36-60,Female,360570,79.46,2.47,3.0,Vaccination,32850.0,No,58.49,4715.0,6.37,97881.0,0.68,43.55 +56938,India,2002,Malaria,Neurological,5.01,11.36,1.38,61+,Other,98064,89.2,4.03,5.33,Vaccination,5606.0,Yes,56.71,2991.0,8.9,22309.0,0.82,27.29 +56939,Italy,2015,Ebola,Cardiovascular,11.22,11.47,5.98,19-35,Other,71830,89.73,3.41,5.21,Vaccination,31572.0,Yes,65.69,563.0,8.23,16892.0,0.7,55.28 +56940,UK,2010,Hypertension,Autoimmune,3.08,9.4,7.27,0-18,Male,119270,59.72,3.97,6.22,Therapy,26939.0,Yes,90.46,2716.0,0.88,58133.0,0.88,37.75 +56944,South Korea,2008,COVID-19,Cardiovascular,2.14,12.98,9.89,36-60,Female,900311,87.89,2.21,4.6,Therapy,47846.0,Yes,88.05,2325.0,6.35,97859.0,0.5,83.45 +56946,Japan,2003,Leprosy,Parasitic,14.46,11.47,7.46,36-60,Male,912749,92.26,2.92,8.97,Therapy,15756.0,No,50.16,1914.0,9.24,76742.0,0.77,76.31 +56949,Saudi Arabia,2017,Malaria,Neurological,8.67,2.17,4.21,0-18,Male,380267,99.33,2.58,0.74,Medication,22687.0,No,87.77,4375.0,0.84,50698.0,0.89,26.4 +56955,France,2023,HIV/AIDS,Bacterial,19.47,14.02,5.33,19-35,Female,328948,92.61,4.96,2.23,Therapy,2455.0,No,73.4,472.0,5.7,85137.0,0.49,43.59 +56958,Germany,2005,Influenza,Bacterial,18.9,14.85,8.81,19-35,Female,66174,77.97,2.81,7.94,Surgery,41161.0,Yes,60.27,1924.0,2.84,77023.0,0.47,61.86 +56962,Nigeria,2000,Leprosy,Neurological,16.79,12.25,9.51,61+,Other,696579,77.12,4.78,2.63,Therapy,42015.0,No,59.49,470.0,0.15,11042.0,0.8,32.09 +56967,Brazil,2014,Influenza,Genetic,3.52,3.8,4.41,19-35,Female,852533,78.06,2.26,7.63,Surgery,22718.0,Yes,87.47,1485.0,0.01,24282.0,0.53,26.97 +56980,Russia,2005,Dengue,Chronic,10.54,2.22,7.67,0-18,Other,641962,60.07,4.73,2.35,Surgery,26017.0,No,74.94,2775.0,5.51,80598.0,0.78,37.57 +56983,India,2002,Cancer,Genetic,10.56,1.07,8.49,19-35,Female,124267,94.18,1.01,3.51,Surgery,25287.0,Yes,81.76,4495.0,9.48,12078.0,0.79,40.84 +56985,Canada,2006,Dengue,Viral,6.9,7.71,0.84,19-35,Male,933932,66.03,2.15,3.85,Surgery,47012.0,Yes,81.03,4591.0,1.69,9223.0,0.48,74.12 +56998,Brazil,2010,Asthma,Parasitic,3.28,4.27,6.29,36-60,Male,248149,69.06,3.83,1.83,Medication,45962.0,Yes,67.62,1906.0,9.18,63445.0,0.87,87.74 +57002,Indonesia,2015,Polio,Chronic,0.62,10.84,8.92,36-60,Female,708718,85.82,4.96,8.21,Vaccination,2679.0,No,93.2,3253.0,6.18,97605.0,0.74,30.65 +57003,Germany,2014,COVID-19,Neurological,17.87,10.82,8.94,61+,Other,931497,99.57,4.66,4.71,Medication,10302.0,No,65.12,1421.0,4.18,49168.0,0.9,72.25 +57005,USA,2015,Malaria,Viral,19.56,10.72,4.76,61+,Male,95800,58.71,2.69,3.91,Vaccination,31051.0,Yes,50.48,3915.0,0.74,98803.0,0.88,31.24 +57007,Japan,2017,Alzheimer's Disease,Infectious,10.41,9.13,6.12,19-35,Female,376122,54.21,4.14,9.52,Therapy,32416.0,No,61.54,2909.0,3.26,94551.0,0.62,69.68 +57025,Indonesia,2015,Measles,Chronic,19.83,11.79,9.79,0-18,Female,640061,51.3,2.98,1.18,Vaccination,19620.0,No,84.59,610.0,4.8,65016.0,0.81,26.33 +57039,Mexico,2009,Asthma,Infectious,8.65,0.44,5.93,61+,Male,237912,74.96,1.37,5.04,Therapy,44368.0,No,83.72,1673.0,5.12,27605.0,0.55,82.79 +57045,China,2021,Malaria,Metabolic,12.69,0.89,4.75,61+,Female,897017,68.27,3.45,1.55,Therapy,21370.0,Yes,89.12,615.0,5.18,89197.0,0.66,74.32 +57052,Nigeria,2021,Measles,Cardiovascular,2.61,2.18,7.1,36-60,Other,955014,91.17,3.3,4.71,Vaccination,30730.0,No,60.75,4178.0,6.93,82622.0,0.57,78.83 +57057,Japan,2015,Alzheimer's Disease,Autoimmune,19.91,4.28,3.43,0-18,Female,463034,56.87,3.8,6.07,Vaccination,49052.0,No,94.12,3875.0,7.87,54417.0,0.65,59.37 +57063,UK,2009,Leprosy,Genetic,16.95,11.03,0.37,0-18,Other,241966,73.16,4.57,7.27,Medication,30218.0,No,79.77,729.0,9.64,72506.0,0.84,87.37 +57074,Turkey,2002,Cholera,Parasitic,8.95,9.6,2.19,19-35,Female,264640,75.21,4.29,3.33,Vaccination,15027.0,No,97.61,3772.0,8.59,10934.0,0.9,31.31 +57077,India,2013,Asthma,Bacterial,5.65,7.59,1.41,19-35,Female,717893,86.07,3.73,1.12,Medication,37769.0,No,56.17,2620.0,1.47,95877.0,0.86,62.07 +57079,Germany,2001,Hepatitis,Respiratory,19.21,5.5,6.25,36-60,Male,410111,57.62,1.38,6.01,Surgery,5910.0,No,90.83,1603.0,2.2,62496.0,0.67,80.57 +57088,France,2008,Alzheimer's Disease,Neurological,0.12,10.75,9.6,0-18,Male,218675,53.88,4.51,8.52,Surgery,22149.0,No,56.44,4160.0,9.7,47640.0,0.66,33.06 +57089,Argentina,2002,Alzheimer's Disease,Autoimmune,4.19,11.51,8.53,0-18,Other,41768,51.2,2.52,6.15,Therapy,18894.0,Yes,75.72,3922.0,8.41,68578.0,0.4,64.51 +57093,Saudi Arabia,2011,Diabetes,Chronic,1.92,12.65,1.16,36-60,Male,690360,51.04,3.77,6.97,Medication,1720.0,No,52.26,1319.0,0.43,16142.0,0.74,66.57 +57101,India,2023,Dengue,Metabolic,9.7,7.51,7.5,0-18,Male,455230,60.15,1.61,4.22,Vaccination,33147.0,Yes,89.26,3445.0,0.77,35428.0,0.73,78.63 +57103,Nigeria,2009,Asthma,Infectious,19.11,1.65,0.98,0-18,Other,628435,71.1,1.11,7.42,Therapy,6379.0,No,82.95,4842.0,8.74,4239.0,0.82,41.44 +57110,Italy,2004,Dengue,Infectious,19.25,10.9,1.54,61+,Male,821121,92.33,1.9,0.78,Vaccination,19654.0,No,75.37,3490.0,5.89,18652.0,0.88,67.39 +57118,Japan,2012,Alzheimer's Disease,Bacterial,6.83,5.51,1.9,36-60,Other,283353,76.59,4.29,3.75,Vaccination,3419.0,No,89.11,1391.0,3.27,85957.0,0.8,76.37 +57128,South Africa,2009,Diabetes,Bacterial,3.37,5.89,3.08,61+,Male,781371,86.56,3.69,5.89,Surgery,47196.0,Yes,96.07,3967.0,7.21,77013.0,0.66,48.67 +57131,South Africa,2012,Cancer,Genetic,2.83,5.24,6.13,36-60,Female,806758,79.95,3.84,1.31,Surgery,20936.0,No,76.06,4939.0,1.68,22416.0,0.9,68.55 +57133,Argentina,2013,Asthma,Neurological,12.68,14.16,7.43,61+,Male,818880,55.75,0.51,8.02,Therapy,18128.0,Yes,52.93,3053.0,6.26,69146.0,0.81,81.3 +57135,UK,2021,Ebola,Infectious,13.52,12.93,4.73,36-60,Male,103719,85.33,1.42,6.39,Surgery,39192.0,No,53.34,4174.0,7.62,45171.0,0.55,59.99 +57139,Argentina,2010,Tuberculosis,Infectious,19.6,2.79,4.67,61+,Female,184339,60.2,4.61,5.94,Medication,10146.0,No,61.81,108.0,2.76,29826.0,0.85,67.76 +57142,South Korea,2022,HIV/AIDS,Chronic,4.91,13.71,1.07,0-18,Female,233888,96.08,0.55,5.74,Surgery,21200.0,Yes,90.87,1979.0,2.17,76831.0,0.58,32.63 +57149,Mexico,2015,Hepatitis,Respiratory,10.23,14.99,4.27,0-18,Male,389995,94.9,3.79,8.57,Surgery,12936.0,No,74.39,1569.0,4.8,74784.0,0.82,80.76 +57153,South Africa,2010,Malaria,Respiratory,6.19,5.54,2.99,0-18,Male,485539,71.15,1.7,6.43,Therapy,45843.0,No,66.89,1476.0,2.95,39022.0,0.79,85.4 +57154,Italy,2005,Cancer,Bacterial,17.9,10.1,3.91,36-60,Other,79733,61.02,1.65,4.07,Therapy,19415.0,Yes,70.14,3480.0,5.09,85668.0,0.87,84.86 +57157,Brazil,2019,Parkinson's Disease,Genetic,11.42,5.78,7.39,36-60,Male,996751,53.05,3.25,2.56,Surgery,10356.0,No,96.61,4596.0,9.23,32673.0,0.72,67.56 +57158,USA,2003,Leprosy,Chronic,2.98,10.81,3.82,0-18,Male,495764,76.62,2.53,9.86,Surgery,28268.0,No,64.36,3095.0,2.65,15896.0,0.63,65.44 +57162,Argentina,2000,Hepatitis,Parasitic,16.41,13.96,0.26,36-60,Male,35264,53.47,3.09,0.76,Medication,20177.0,No,78.78,4581.0,6.02,93137.0,0.74,28.84 +57167,Japan,2020,Malaria,Respiratory,5.99,0.51,4.51,0-18,Female,956082,81.1,0.58,8.69,Medication,22278.0,No,53.42,1211.0,6.49,51161.0,0.87,35.05 +57168,Japan,2013,Malaria,Autoimmune,1.79,5.57,1.6,36-60,Female,590006,89.42,4.36,8.95,Surgery,18993.0,No,95.22,1683.0,1.34,65225.0,0.54,63.08 +57175,South Africa,2022,Ebola,Cardiovascular,12.4,6.66,2.55,19-35,Female,266364,75.89,0.69,5.88,Medication,19034.0,Yes,81.03,3448.0,8.76,95109.0,0.74,49.92 +57181,South Africa,2016,Polio,Metabolic,3.98,0.94,5.31,61+,Female,202961,60.03,0.77,7.39,Medication,30173.0,Yes,57.86,1896.0,6.52,61449.0,0.42,69.61 +57185,South Korea,2007,Leprosy,Viral,14.97,9.57,2.12,0-18,Female,806287,66.36,2.77,9.27,Vaccination,36852.0,Yes,79.83,2851.0,4.25,89984.0,0.62,65.47 +57191,Japan,2012,Asthma,Respiratory,18.34,1.49,1.03,0-18,Female,57010,94.79,2.63,9.09,Therapy,43994.0,No,55.39,2756.0,5.57,82746.0,0.53,59.87 +57200,UK,2006,Hepatitis,Chronic,8.34,13.18,8.89,36-60,Other,53413,72.18,3.44,9.31,Vaccination,17856.0,Yes,78.42,4714.0,3.94,79489.0,0.73,51.16 +57203,Argentina,2024,COVID-19,Neurological,10.73,8.05,5.52,19-35,Female,453073,77.07,1.21,2.54,Therapy,49993.0,Yes,70.61,1963.0,6.3,20422.0,0.9,34.34 +57209,Mexico,2003,Dengue,Bacterial,14.0,8.87,4.65,0-18,Male,156605,61.5,4.21,0.51,Vaccination,36949.0,Yes,54.04,1021.0,7.83,7991.0,0.78,72.84 +57210,France,2022,Ebola,Bacterial,9.24,1.05,8.97,36-60,Male,302547,68.39,1.51,9.46,Vaccination,22400.0,Yes,82.24,3389.0,4.77,72160.0,0.53,42.55 +57211,Germany,2001,Influenza,Bacterial,8.89,13.56,9.51,0-18,Male,275703,56.78,3.6,4.03,Surgery,13483.0,No,83.18,2534.0,4.13,1038.0,0.69,71.14 +57212,India,2005,Asthma,Respiratory,2.8,10.26,7.48,19-35,Other,70132,64.77,4.81,4.1,Surgery,45218.0,No,82.07,2218.0,0.04,17918.0,0.66,48.95 +57220,Brazil,2001,Diabetes,Autoimmune,9.29,4.34,1.95,61+,Other,788912,55.6,4.37,2.61,Therapy,34467.0,Yes,56.12,4482.0,9.72,78496.0,0.67,84.87 +57224,Russia,2021,Ebola,Infectious,12.74,11.63,8.16,36-60,Other,452347,73.29,1.63,6.28,Therapy,24602.0,Yes,82.65,298.0,8.95,69568.0,0.54,23.79 +57225,China,2014,Hepatitis,Metabolic,14.7,2.35,3.76,61+,Male,398013,83.9,3.85,8.99,Surgery,34839.0,No,90.79,3015.0,8.26,94799.0,0.87,61.85 +57234,UK,2009,COVID-19,Respiratory,6.23,5.48,7.19,36-60,Other,7737,61.04,1.61,9.05,Surgery,2144.0,Yes,73.73,496.0,2.15,59193.0,0.63,86.0 +57240,Germany,2014,Dengue,Autoimmune,10.06,7.6,7.55,36-60,Other,179822,52.88,0.98,1.43,Surgery,49030.0,Yes,85.12,2953.0,9.88,24621.0,0.74,23.22 +57247,Australia,2001,Ebola,Neurological,8.8,13.62,6.41,36-60,Male,247070,70.5,3.2,1.12,Medication,6492.0,No,82.91,464.0,4.76,73757.0,0.7,65.17 +57248,Argentina,2017,Measles,Neurological,9.37,1.89,2.37,36-60,Other,916720,83.34,1.46,6.63,Medication,36123.0,Yes,98.27,4789.0,6.95,89932.0,0.44,28.62 +57250,France,2021,Asthma,Metabolic,10.62,12.98,9.05,19-35,Male,689991,92.94,1.48,8.79,Therapy,49464.0,Yes,73.0,1568.0,6.42,95953.0,0.53,69.74 +57254,Italy,2021,Hepatitis,Cardiovascular,12.01,10.72,1.72,61+,Female,245071,90.25,2.39,7.93,Surgery,38316.0,Yes,85.28,1388.0,0.71,76688.0,0.59,86.46 +57255,South Korea,2003,Measles,Respiratory,17.7,2.1,0.45,0-18,Female,992387,98.73,4.9,4.95,Medication,14772.0,No,58.14,452.0,6.12,75562.0,0.9,42.5 +57258,China,2023,Polio,Cardiovascular,6.34,1.89,6.81,0-18,Male,724327,80.77,4.87,0.59,Therapy,587.0,Yes,51.53,905.0,5.81,57447.0,0.7,52.59 +57263,Indonesia,2022,Polio,Neurological,3.78,14.53,9.97,36-60,Female,228132,61.81,0.91,5.84,Vaccination,4203.0,No,79.13,4477.0,7.45,82983.0,0.84,72.16 +57265,Japan,2004,Zika,Autoimmune,7.36,8.19,2.45,36-60,Female,539761,56.78,3.32,1.1,Medication,7740.0,Yes,62.48,3916.0,3.21,41481.0,0.42,85.89 +57268,Mexico,2009,Rabies,Metabolic,17.72,12.33,8.7,0-18,Other,361366,55.02,2.47,3.99,Vaccination,2989.0,No,96.04,4873.0,2.12,30841.0,0.9,34.07 +57269,Indonesia,2009,Cancer,Parasitic,9.08,2.47,1.62,61+,Female,688164,65.03,0.59,4.84,Therapy,7625.0,No,64.82,3874.0,9.92,36916.0,0.81,38.3 +57274,Mexico,2010,Hepatitis,Parasitic,16.03,12.2,6.8,61+,Male,964124,73.58,2.79,8.36,Therapy,9725.0,No,56.48,531.0,1.38,54868.0,0.76,21.07 +57278,Nigeria,2012,Dengue,Autoimmune,4.27,14.03,8.84,0-18,Female,364299,95.38,3.45,6.1,Surgery,49795.0,Yes,90.85,1013.0,4.75,80194.0,0.53,83.02 +57279,Japan,2012,Polio,Cardiovascular,15.56,2.08,9.19,0-18,Other,155361,61.11,2.29,3.03,Vaccination,30428.0,No,77.66,3726.0,0.79,27478.0,0.69,33.51 +57285,China,2020,COVID-19,Genetic,9.18,10.44,6.78,19-35,Female,777003,73.62,0.85,0.9,Therapy,16371.0,No,79.32,696.0,8.43,73046.0,0.62,89.67 +57287,Indonesia,2023,Hepatitis,Neurological,17.56,6.55,9.79,19-35,Male,964837,61.22,3.04,9.42,Therapy,19639.0,No,77.71,613.0,0.15,78934.0,0.64,56.27 +57293,USA,2020,Ebola,Parasitic,17.24,2.59,3.62,61+,Female,229317,68.2,4.97,7.63,Vaccination,24563.0,Yes,85.94,1807.0,4.95,57157.0,0.82,28.18 +57303,France,2017,Asthma,Metabolic,19.15,2.12,7.64,36-60,Female,909454,98.17,4.84,3.02,Medication,1986.0,Yes,62.13,3926.0,4.58,5219.0,0.45,72.57 +57307,China,2002,Tuberculosis,Viral,14.71,13.74,7.95,0-18,Male,162478,85.47,0.66,5.56,Therapy,1031.0,No,59.72,3085.0,6.27,5617.0,0.89,27.06 +57312,South Korea,2021,Hepatitis,Chronic,14.42,9.93,4.13,0-18,Male,957173,58.41,0.8,7.65,Vaccination,12347.0,No,80.24,2930.0,3.8,64214.0,0.41,69.16 +57316,India,2024,Cancer,Infectious,2.4,0.34,7.43,19-35,Male,345541,58.98,2.05,8.46,Surgery,4798.0,No,82.52,1634.0,7.61,30154.0,0.6,61.34 +57318,Mexico,2023,Cholera,Chronic,12.86,4.23,3.0,61+,Other,593853,71.13,2.99,5.53,Surgery,18211.0,Yes,70.51,3965.0,9.51,25444.0,0.55,46.52 +57319,India,2006,HIV/AIDS,Genetic,11.7,2.11,1.56,0-18,Male,886121,78.86,4.09,5.98,Medication,15124.0,Yes,63.89,2248.0,6.8,57830.0,0.75,37.34 +57324,Japan,2010,Dengue,Parasitic,18.32,8.86,0.92,36-60,Female,924074,63.26,1.64,2.68,Vaccination,30920.0,Yes,75.98,1338.0,7.88,73306.0,0.49,46.96 +57339,Argentina,2011,Cancer,Autoimmune,12.27,2.44,1.56,0-18,Female,712101,67.44,3.29,3.68,Therapy,34757.0,Yes,71.71,1702.0,0.11,40056.0,0.77,26.62 +57343,India,2018,Polio,Infectious,19.53,7.09,8.03,0-18,Other,878119,66.75,1.57,7.87,Vaccination,38321.0,Yes,54.27,264.0,0.25,70357.0,0.78,72.33 +57346,India,2021,Cancer,Autoimmune,12.95,12.16,8.74,0-18,Male,211063,93.26,1.83,3.7,Surgery,17293.0,Yes,51.3,4406.0,3.31,70219.0,0.63,31.43 +57350,China,2011,Leprosy,Chronic,19.76,11.68,7.31,36-60,Other,792151,83.05,3.89,5.09,Therapy,4687.0,No,69.11,861.0,7.34,49224.0,0.56,41.72 +57351,Nigeria,2007,Alzheimer's Disease,Genetic,8.35,9.01,4.87,0-18,Male,140839,66.74,1.81,2.99,Surgery,38306.0,No,87.99,950.0,3.8,40446.0,0.83,44.42 +57360,Italy,2009,HIV/AIDS,Neurological,3.11,0.82,1.56,0-18,Male,830208,74.36,1.09,6.61,Surgery,15652.0,No,97.61,570.0,8.6,51070.0,0.9,78.98 +57361,South Korea,2021,Diabetes,Cardiovascular,16.95,2.36,5.01,19-35,Other,13777,52.89,1.96,5.09,Vaccination,30719.0,No,80.52,2823.0,0.25,10070.0,0.7,85.1 +57369,India,2000,Ebola,Chronic,1.51,14.12,8.63,36-60,Male,827129,90.73,3.61,3.69,Therapy,3186.0,No,58.17,4693.0,7.99,55647.0,0.76,82.31 +57375,Argentina,2007,Asthma,Bacterial,14.03,12.36,0.92,36-60,Male,659599,84.03,4.65,1.04,Medication,9047.0,Yes,69.0,3178.0,3.5,48258.0,0.61,71.76 +57381,Russia,2021,Asthma,Cardiovascular,2.73,1.32,6.55,61+,Male,510104,91.26,4.01,6.84,Vaccination,29174.0,No,57.76,940.0,1.03,49079.0,0.71,43.83 +57386,France,2022,Polio,Genetic,19.3,13.48,4.75,19-35,Female,668297,71.3,1.52,6.74,Therapy,9212.0,Yes,57.77,373.0,1.72,65609.0,0.4,56.77 +57388,Canada,2000,Diabetes,Autoimmune,9.14,7.52,8.97,36-60,Male,510490,85.85,1.69,5.44,Vaccination,18510.0,No,66.19,542.0,9.74,66213.0,0.64,58.21 +57395,Russia,2018,Leprosy,Chronic,0.8,4.26,8.06,0-18,Male,856616,64.89,4.08,0.55,Vaccination,30950.0,Yes,76.28,3928.0,3.84,6088.0,0.83,54.91 +57396,South Korea,2015,Alzheimer's Disease,Bacterial,19.47,12.65,6.97,19-35,Male,953047,78.79,0.68,6.08,Vaccination,7360.0,Yes,51.78,4330.0,2.24,31926.0,0.4,80.83 +57402,Mexico,2020,Cancer,Metabolic,16.35,9.32,3.09,0-18,Male,508628,53.6,4.27,4.59,Vaccination,254.0,No,57.45,1987.0,1.91,23214.0,0.54,20.2 +57409,Australia,2008,Dengue,Genetic,17.94,2.96,3.96,0-18,Other,889246,97.06,4.81,2.16,Medication,764.0,Yes,70.35,1170.0,4.48,64869.0,0.62,63.52 +57410,South Korea,2002,Cancer,Infectious,18.48,10.93,5.37,19-35,Male,994773,68.05,0.73,5.44,Medication,5317.0,Yes,69.53,3290.0,8.88,1714.0,0.48,59.06 +57418,South Korea,2002,HIV/AIDS,Parasitic,10.37,6.16,7.86,36-60,Other,80881,78.97,3.49,3.31,Therapy,41122.0,No,85.01,748.0,8.04,45529.0,0.45,35.53 +57419,South Korea,2001,Asthma,Genetic,5.64,6.86,0.92,61+,Other,596518,55.11,1.09,2.61,Medication,1441.0,No,67.64,2052.0,4.11,17099.0,0.54,66.19 +57420,Australia,2018,Cholera,Bacterial,3.68,0.73,7.36,36-60,Female,833867,68.43,4.7,5.63,Vaccination,46182.0,No,62.33,787.0,9.34,9285.0,0.74,42.59 +57423,USA,2022,Polio,Bacterial,7.32,13.03,9.88,19-35,Other,456858,92.36,5.0,9.76,Medication,21484.0,Yes,62.51,1266.0,5.6,72256.0,0.7,22.72 +57435,India,2024,Parkinson's Disease,Infectious,4.34,6.51,7.72,19-35,Other,209463,51.54,2.93,7.11,Therapy,36559.0,Yes,91.68,2092.0,4.23,59533.0,0.59,52.17 +57436,France,2001,COVID-19,Respiratory,16.49,14.66,4.43,36-60,Male,354981,58.04,3.44,3.86,Therapy,13990.0,Yes,87.82,2625.0,9.38,77791.0,0.78,47.37 +57454,Brazil,2017,Parkinson's Disease,Metabolic,7.73,0.35,2.08,19-35,Female,832140,90.17,4.04,8.47,Surgery,2086.0,No,50.02,274.0,2.88,46941.0,0.51,55.46 +57457,France,2015,HIV/AIDS,Autoimmune,11.29,12.24,7.94,61+,Male,414891,58.54,1.23,2.89,Medication,25969.0,No,62.74,1314.0,3.42,67722.0,0.48,81.65 +57461,Brazil,2020,Dengue,Parasitic,11.13,8.4,4.38,61+,Male,231172,69.16,0.63,1.83,Therapy,27475.0,No,67.57,4287.0,2.33,72087.0,0.61,30.65 +57463,Indonesia,2014,Asthma,Metabolic,4.34,4.91,9.07,0-18,Female,35056,61.57,4.68,6.2,Medication,33930.0,No,61.92,1109.0,9.54,38904.0,0.75,85.94 +57467,Japan,2001,Hypertension,Cardiovascular,9.18,0.42,0.22,36-60,Female,766331,88.4,0.82,9.36,Surgery,3504.0,Yes,80.7,3103.0,4.93,33165.0,0.85,55.17 +57469,South Korea,2017,Alzheimer's Disease,Respiratory,16.61,11.51,7.41,0-18,Female,481194,50.11,0.9,2.8,Surgery,29550.0,Yes,61.4,2166.0,5.5,91807.0,0.52,75.6 +57478,Nigeria,2020,Asthma,Respiratory,1.85,5.31,0.86,61+,Female,676076,56.81,4.51,4.22,Therapy,41307.0,Yes,76.58,4550.0,4.8,47090.0,0.52,67.2 +57484,France,2001,Diabetes,Metabolic,5.37,10.96,5.75,19-35,Other,536390,72.17,2.87,3.63,Therapy,15439.0,Yes,94.36,2271.0,1.63,4824.0,0.7,27.93 +57487,Italy,2023,Leprosy,Bacterial,17.52,13.11,9.78,36-60,Female,181547,78.1,2.98,8.35,Surgery,31900.0,No,54.17,3363.0,7.01,62546.0,0.4,66.66 +57490,Italy,2024,Alzheimer's Disease,Infectious,15.24,2.41,7.99,36-60,Other,56810,68.83,3.75,4.35,Therapy,28369.0,Yes,59.99,2684.0,2.62,14478.0,0.74,40.49 +57492,South Korea,2016,Cholera,Neurological,12.09,6.16,9.56,36-60,Other,247869,74.07,4.59,7.0,Vaccination,42809.0,Yes,90.12,2173.0,5.9,56074.0,0.65,46.19 +57493,India,2017,Influenza,Chronic,3.09,11.23,8.08,36-60,Other,161670,56.85,3.45,9.65,Vaccination,48823.0,No,70.51,4627.0,3.73,44043.0,0.9,51.42 +57502,USA,2022,Leprosy,Chronic,9.96,6.81,1.44,36-60,Other,598670,98.51,1.48,7.63,Vaccination,45570.0,Yes,52.26,116.0,6.57,76586.0,0.55,48.24 +57503,Indonesia,2003,Influenza,Cardiovascular,18.75,11.23,3.53,61+,Other,661472,95.54,3.26,5.24,Medication,46730.0,Yes,98.48,858.0,9.29,37060.0,0.43,86.45 +57508,USA,2002,Tuberculosis,Infectious,9.37,8.33,2.46,61+,Other,862106,82.36,0.95,5.42,Surgery,1090.0,No,76.15,4242.0,9.69,4105.0,0.42,65.05 +57518,Canada,2024,Tuberculosis,Neurological,9.16,8.86,9.49,19-35,Male,593790,90.48,2.41,6.48,Surgery,40039.0,No,52.99,2100.0,1.88,76224.0,0.41,44.08 +57519,Brazil,2005,Cholera,Autoimmune,18.29,5.9,6.23,0-18,Other,847888,94.31,3.32,6.53,Medication,17211.0,No,56.95,4280.0,8.15,1952.0,0.57,41.1 +57520,Mexico,2012,HIV/AIDS,Genetic,14.8,12.59,4.86,19-35,Male,930174,74.02,1.85,6.69,Medication,5449.0,No,79.18,4060.0,4.91,97096.0,0.7,28.58 +57521,Mexico,2020,Hypertension,Chronic,17.76,3.0,7.39,61+,Other,116867,94.49,3.81,5.8,Vaccination,45248.0,No,81.33,3783.0,5.72,38471.0,0.66,65.33 +57524,Mexico,2022,Zika,Metabolic,1.59,4.83,5.12,19-35,Other,808932,63.74,0.55,8.24,Therapy,9232.0,No,65.27,1111.0,6.72,66714.0,0.49,20.38 +57528,South Korea,2004,Polio,Autoimmune,19.47,7.02,4.92,0-18,Male,997089,76.79,1.05,4.72,Medication,9937.0,No,65.59,4725.0,7.01,44380.0,0.69,80.89 +57533,UK,2007,Parkinson's Disease,Chronic,15.58,8.47,5.73,19-35,Female,482774,78.09,2.15,2.27,Surgery,2251.0,No,56.87,54.0,3.21,63247.0,0.89,60.39 +57537,USA,2005,Hypertension,Respiratory,11.69,11.86,6.8,19-35,Other,792549,96.71,1.03,6.64,Therapy,31456.0,Yes,71.1,3572.0,6.33,52298.0,0.82,33.42 +57543,Canada,2013,Tuberculosis,Bacterial,17.28,12.63,3.91,19-35,Female,118596,77.53,2.13,1.32,Therapy,14452.0,Yes,79.78,2756.0,8.6,57479.0,0.64,37.71 +57546,India,2010,Influenza,Genetic,8.85,5.84,9.57,61+,Male,149092,50.74,2.76,2.44,Surgery,28571.0,No,54.62,4273.0,1.55,81131.0,0.49,62.19 +57548,India,2016,Alzheimer's Disease,Metabolic,15.24,11.4,2.44,19-35,Male,371204,61.96,1.88,4.6,Surgery,19419.0,No,92.12,4869.0,1.48,19882.0,0.42,23.12 +57549,UK,2003,Polio,Metabolic,14.3,5.98,7.68,0-18,Male,502454,52.05,1.41,4.68,Vaccination,48028.0,No,85.69,3924.0,8.18,2532.0,0.89,74.28 +57553,China,2016,Measles,Metabolic,18.92,12.33,0.91,0-18,Other,151952,77.93,3.44,8.0,Medication,41318.0,No,76.97,3418.0,4.9,66502.0,0.49,23.92 +57554,Saudi Arabia,2009,COVID-19,Viral,7.24,1.83,6.89,36-60,Other,996956,65.04,3.84,3.08,Therapy,37563.0,Yes,57.82,3866.0,8.79,19202.0,0.86,21.89 +57555,Australia,2000,Malaria,Bacterial,11.2,0.85,2.71,36-60,Other,210406,82.32,2.35,3.0,Surgery,1436.0,No,96.98,2956.0,8.5,61242.0,0.89,60.93 +57556,USA,2003,HIV/AIDS,Neurological,1.83,14.06,4.01,36-60,Other,480542,82.86,4.98,7.58,Therapy,14760.0,No,92.26,1897.0,4.07,22904.0,0.81,79.74 +57558,South Korea,2008,Asthma,Respiratory,7.28,0.49,2.86,61+,Female,466524,57.05,0.79,3.43,Therapy,38055.0,Yes,98.17,2007.0,1.02,76322.0,0.9,85.3 +57560,Japan,2020,Polio,Parasitic,17.58,13.54,1.57,0-18,Male,61350,58.64,3.27,1.19,Therapy,27953.0,Yes,67.71,722.0,3.48,15067.0,0.47,39.56 +57564,Saudi Arabia,2015,Asthma,Viral,17.23,11.28,4.68,0-18,Other,772352,50.62,4.61,8.22,Surgery,10149.0,Yes,82.9,2301.0,2.78,82969.0,0.43,39.2 +57570,UK,2013,Ebola,Metabolic,6.52,5.26,0.53,0-18,Male,94132,58.62,4.38,2.23,Therapy,14434.0,No,65.36,735.0,8.16,12027.0,0.42,54.43 +57576,Mexico,2000,Hypertension,Infectious,5.94,8.01,2.98,61+,Male,786260,57.84,3.42,2.68,Vaccination,14722.0,Yes,64.43,4548.0,0.38,11345.0,0.48,49.18 +57582,South Africa,2021,COVID-19,Metabolic,1.66,13.57,3.82,0-18,Male,692323,75.69,3.13,5.22,Therapy,33538.0,Yes,61.43,2126.0,4.44,80903.0,0.82,22.04 +57584,UK,2011,Ebola,Autoimmune,10.17,2.38,2.76,61+,Female,919601,85.78,1.96,9.26,Surgery,16970.0,No,88.56,4987.0,3.53,16795.0,0.65,61.55 +57586,UK,2013,Dengue,Autoimmune,7.93,0.16,4.3,61+,Other,620472,63.88,3.15,7.15,Therapy,12818.0,No,72.37,3547.0,3.77,64613.0,0.57,26.27 +57587,Australia,2007,Cholera,Cardiovascular,19.97,11.82,4.59,19-35,Other,854372,61.36,2.21,0.81,Medication,45191.0,No,98.81,3323.0,3.06,34234.0,0.55,71.86 +57599,South Africa,2012,Ebola,Respiratory,11.88,9.77,0.51,36-60,Other,93883,93.63,4.15,4.77,Therapy,1580.0,No,51.43,298.0,1.8,67857.0,0.51,38.07 +57603,Saudi Arabia,2003,Ebola,Chronic,16.11,10.28,8.47,36-60,Male,57298,75.56,1.1,7.29,Medication,45234.0,Yes,83.94,669.0,9.67,61128.0,0.83,43.85 +57609,Germany,2017,Tuberculosis,Metabolic,10.46,6.61,5.41,0-18,Other,437091,71.4,4.07,6.18,Medication,41497.0,Yes,65.18,2576.0,1.16,76600.0,0.63,36.51 +57614,Italy,2017,Parkinson's Disease,Genetic,11.11,4.88,2.02,19-35,Other,568250,73.91,3.9,5.46,Therapy,39270.0,Yes,63.58,3963.0,5.17,79484.0,0.62,52.65 +57615,UK,2002,Hypertension,Metabolic,3.92,1.28,5.36,19-35,Male,360474,98.3,1.96,1.72,Medication,48778.0,Yes,52.87,2910.0,1.71,61190.0,0.58,38.96 +57618,Germany,2022,Hepatitis,Infectious,10.54,8.67,8.74,36-60,Female,947700,65.81,4.17,0.61,Surgery,28689.0,No,94.85,888.0,3.97,59405.0,0.71,32.39 +57624,Turkey,2002,Dengue,Bacterial,10.25,8.4,5.59,0-18,Other,93179,79.91,4.54,1.64,Surgery,27017.0,No,61.58,2227.0,8.15,87805.0,0.65,41.71 +57631,Brazil,2018,HIV/AIDS,Infectious,16.89,13.45,3.47,0-18,Other,633327,54.87,2.84,8.67,Surgery,28155.0,Yes,87.57,73.0,5.6,46554.0,0.47,21.39 +57633,Russia,2017,Dengue,Metabolic,3.21,9.43,5.15,19-35,Male,865813,77.51,4.54,3.67,Surgery,1554.0,No,81.02,3715.0,4.21,21439.0,0.64,64.86 +57642,China,2019,Diabetes,Viral,4.27,4.22,4.64,0-18,Male,352764,67.77,4.79,5.43,Vaccination,24326.0,Yes,71.04,893.0,0.91,90158.0,0.54,27.18 +57651,Italy,2022,Hepatitis,Respiratory,15.52,13.89,8.18,61+,Female,794442,54.33,2.16,6.42,Vaccination,31354.0,No,53.7,4279.0,9.4,42837.0,0.82,50.16 +57653,South Korea,2016,Influenza,Respiratory,10.34,8.1,6.13,19-35,Male,710024,91.35,2.1,1.27,Surgery,42595.0,Yes,98.68,100.0,4.64,19701.0,0.48,37.12 +57658,USA,2015,Rabies,Neurological,14.48,1.54,3.54,36-60,Other,373364,66.83,3.86,7.79,Vaccination,31728.0,No,97.07,1816.0,6.54,87265.0,0.51,87.93 +57660,Italy,2020,Polio,Metabolic,8.98,2.91,1.45,0-18,Other,338949,86.43,3.24,8.31,Therapy,27198.0,Yes,98.2,3844.0,0.1,85206.0,0.68,30.38 +57661,Turkey,2009,Measles,Metabolic,8.36,0.65,6.92,36-60,Female,189920,69.19,2.85,4.22,Surgery,393.0,No,60.72,2893.0,4.98,66216.0,0.63,55.17 +57670,USA,2022,Alzheimer's Disease,Viral,12.02,9.44,8.06,0-18,Male,54785,88.75,2.37,2.75,Therapy,2245.0,Yes,84.19,674.0,3.36,47664.0,0.63,74.47 +57671,Indonesia,2017,Leprosy,Respiratory,0.25,13.32,0.14,61+,Male,321850,79.51,1.11,0.76,Surgery,42430.0,Yes,60.21,825.0,0.53,28879.0,0.6,86.62 +57673,Germany,2006,COVID-19,Neurological,17.0,9.06,0.27,36-60,Female,536460,93.03,4.52,5.95,Medication,41110.0,Yes,78.11,2820.0,2.45,55204.0,0.48,84.44 +57677,Japan,2006,Cholera,Bacterial,19.36,8.01,3.2,36-60,Female,533806,86.19,2.74,6.45,Medication,2078.0,No,57.07,4756.0,2.71,75962.0,0.82,49.18 +57679,South Korea,2008,Leprosy,Genetic,2.61,8.22,7.92,36-60,Male,813023,92.69,1.29,7.56,Vaccination,36128.0,Yes,92.94,3035.0,1.25,86659.0,0.75,55.31 +57686,Mexico,2003,Zika,Metabolic,13.61,5.09,1.83,61+,Other,644757,68.87,2.55,8.23,Therapy,25673.0,No,86.86,939.0,7.28,12673.0,0.58,75.39 +57690,France,2008,Influenza,Parasitic,1.1,5.34,7.33,36-60,Other,917787,77.76,2.61,1.15,Medication,39087.0,Yes,91.47,1972.0,3.4,74461.0,0.5,75.79 +57694,France,2001,Hepatitis,Bacterial,19.65,9.35,8.77,61+,Female,653798,62.3,4.22,2.5,Medication,1301.0,No,88.68,4585.0,9.19,16887.0,0.41,60.61 +57695,Australia,2003,Parkinson's Disease,Parasitic,15.28,12.7,5.27,61+,Male,909689,70.99,0.74,7.26,Medication,43005.0,Yes,72.5,275.0,9.22,21056.0,0.48,81.22 +57696,Canada,2011,Diabetes,Bacterial,12.22,2.09,8.85,61+,Male,519181,74.69,3.11,9.31,Surgery,36661.0,No,67.26,2325.0,8.54,67077.0,0.77,52.89 +57711,Germany,2002,Diabetes,Genetic,7.13,4.46,6.71,0-18,Other,144995,66.44,2.08,2.22,Vaccination,39103.0,No,81.34,5.0,2.26,59609.0,0.46,64.16 +57722,Germany,2013,Measles,Neurological,2.7,0.6,3.83,61+,Female,931499,60.56,4.67,8.06,Therapy,46749.0,No,73.81,2882.0,1.01,6277.0,0.89,89.57 +57728,Russia,2020,Polio,Cardiovascular,7.75,0.97,7.92,19-35,Male,520759,96.71,1.85,4.89,Vaccination,5668.0,No,79.0,1719.0,4.02,44308.0,0.69,84.72 +57732,South Africa,2018,Parkinson's Disease,Neurological,16.49,1.19,0.53,19-35,Other,171779,62.0,3.72,8.42,Surgery,7196.0,Yes,73.46,3949.0,3.77,14374.0,0.65,82.69 +57742,Germany,2024,Cancer,Metabolic,14.33,3.81,4.52,61+,Other,510427,60.36,4.92,4.46,Surgery,27960.0,Yes,74.7,2901.0,9.96,72776.0,0.84,24.78 +57745,Italy,2015,Leprosy,Chronic,1.52,13.69,1.55,61+,Male,848726,95.53,4.78,2.55,Medication,4019.0,Yes,85.08,1308.0,3.8,84744.0,0.58,49.54 +57747,USA,2017,Malaria,Infectious,4.58,5.8,8.66,61+,Other,28047,52.84,2.93,9.2,Vaccination,38789.0,No,53.15,4308.0,3.68,46659.0,0.88,47.4 +57753,UK,2006,Cancer,Cardiovascular,8.97,1.23,8.14,19-35,Female,916108,87.98,3.17,1.94,Surgery,8458.0,Yes,63.01,1547.0,0.72,36868.0,0.61,73.6 +57754,France,2020,Dengue,Genetic,17.39,2.88,0.1,19-35,Male,334677,81.57,1.27,2.7,Therapy,22881.0,Yes,56.51,4314.0,2.16,95211.0,0.65,66.19 +57763,South Africa,2020,Ebola,Bacterial,4.65,0.17,8.54,19-35,Male,438664,75.62,3.25,6.62,Medication,33820.0,No,71.24,3228.0,0.18,6165.0,0.71,71.11 +57767,India,2009,Measles,Infectious,0.25,0.92,6.04,0-18,Other,276012,63.23,2.4,6.6,Therapy,34944.0,No,74.12,1361.0,8.19,30039.0,0.9,66.23 +57768,Argentina,2018,Cholera,Metabolic,1.68,3.93,2.91,19-35,Other,394188,83.48,4.36,7.61,Medication,22256.0,No,50.36,1211.0,2.32,38608.0,0.5,57.63 +57770,Indonesia,2021,Cholera,Cardiovascular,13.84,2.54,3.6,61+,Female,701227,75.11,2.85,3.93,Vaccination,14359.0,Yes,86.1,4279.0,1.81,37544.0,0.65,24.31 +57788,South Africa,2023,Influenza,Viral,11.76,6.5,8.05,61+,Other,569401,87.31,0.51,3.77,Therapy,10160.0,Yes,71.57,4790.0,7.24,21903.0,0.78,69.34 +57790,Nigeria,2000,Influenza,Chronic,15.45,3.81,9.3,0-18,Female,473597,94.56,4.24,2.29,Therapy,31439.0,No,71.62,392.0,8.3,6200.0,0.89,74.8 +57793,Australia,2011,Dengue,Respiratory,18.51,2.86,8.11,0-18,Male,456536,94.71,3.66,6.99,Therapy,2297.0,No,91.49,4283.0,0.69,15710.0,0.86,82.17 +57795,South Africa,2023,Tuberculosis,Metabolic,16.25,6.14,3.04,36-60,Other,441712,93.7,3.75,6.19,Therapy,6437.0,No,53.28,848.0,7.07,62056.0,0.74,60.72 +57802,Argentina,2010,Polio,Respiratory,18.77,10.17,6.55,61+,Other,684047,93.62,1.03,5.43,Surgery,18667.0,No,50.1,1062.0,2.46,61305.0,0.71,49.86 +57810,China,2021,Cancer,Infectious,16.32,14.75,0.87,0-18,Female,36068,90.07,2.61,7.87,Surgery,39494.0,Yes,50.72,3075.0,6.12,9144.0,0.7,71.55 +57819,Australia,2007,Influenza,Viral,14.47,6.15,7.89,0-18,Other,236170,50.26,4.73,7.44,Vaccination,9723.0,No,59.35,1442.0,7.64,28369.0,0.49,46.37 +57834,USA,2016,Influenza,Chronic,15.65,4.23,3.54,19-35,Other,935005,77.71,2.16,4.39,Medication,39514.0,No,63.13,2858.0,7.42,6540.0,0.72,75.59 +57845,Argentina,2015,Malaria,Viral,9.06,1.56,7.91,0-18,Male,451179,51.25,2.29,3.05,Vaccination,6033.0,No,90.78,3090.0,3.48,22469.0,0.81,60.58 +57846,Mexico,2008,Cholera,Viral,9.77,3.14,6.26,61+,Male,15388,90.95,4.64,2.5,Surgery,2507.0,Yes,98.39,3518.0,3.02,47734.0,0.57,80.65 +57854,India,2011,Polio,Infectious,8.07,9.79,7.28,0-18,Other,316910,63.17,1.77,3.63,Surgery,33341.0,No,77.55,1294.0,6.91,12289.0,0.85,43.05 +57863,Russia,2024,Hepatitis,Genetic,2.95,10.26,7.46,0-18,Male,646723,56.93,2.97,7.27,Therapy,13105.0,No,53.74,1977.0,2.09,52328.0,0.55,45.49 +57866,Mexico,2015,Asthma,Viral,2.9,1.28,3.74,19-35,Female,697458,54.21,4.33,5.85,Surgery,29180.0,Yes,55.44,566.0,9.39,77034.0,0.65,54.68 +57869,Canada,2008,Parkinson's Disease,Autoimmune,17.64,11.67,1.04,36-60,Male,421630,85.46,4.82,6.53,Surgery,26244.0,No,94.21,1685.0,8.6,89958.0,0.72,39.06 +57875,Italy,2006,Diabetes,Metabolic,4.73,14.16,1.42,0-18,Female,405434,97.78,2.7,9.77,Surgery,44108.0,Yes,71.99,872.0,8.14,7535.0,0.68,81.28 +57878,Australia,2010,COVID-19,Respiratory,0.65,1.37,5.79,0-18,Other,738416,67.52,0.9,0.64,Medication,7333.0,No,67.25,4382.0,2.99,82814.0,0.9,82.34 +57879,Italy,2002,Dengue,Genetic,4.28,11.39,1.31,61+,Female,410451,62.6,2.81,7.4,Medication,7241.0,Yes,89.62,2527.0,7.52,93803.0,0.47,78.9 +57880,Turkey,2016,Dengue,Bacterial,4.96,4.0,3.18,61+,Female,574039,56.5,1.44,7.65,Vaccination,23980.0,No,58.95,2503.0,6.02,49307.0,0.82,86.38 +57882,Saudi Arabia,2018,Diabetes,Genetic,17.93,13.77,3.35,36-60,Female,843219,94.69,2.9,2.77,Medication,2362.0,Yes,66.54,571.0,1.38,38380.0,0.54,33.71 +57883,India,2007,Diabetes,Viral,17.52,3.82,1.81,61+,Female,711440,52.77,3.95,8.08,Medication,26102.0,Yes,50.27,1730.0,6.08,79430.0,0.71,89.1 +57885,Indonesia,2014,HIV/AIDS,Neurological,19.02,10.03,0.61,36-60,Male,830118,58.26,3.59,4.03,Surgery,28128.0,Yes,76.84,2252.0,0.11,44242.0,0.52,75.77 +57894,China,2002,Parkinson's Disease,Genetic,3.23,0.11,5.51,61+,Male,349525,96.86,1.75,4.64,Therapy,46827.0,Yes,90.7,3022.0,9.49,89076.0,0.86,71.03 +57895,India,2022,Leprosy,Metabolic,19.26,5.31,7.88,36-60,Male,20870,84.55,2.0,2.36,Medication,13322.0,Yes,84.68,2716.0,4.09,93786.0,0.41,31.13 +57896,Saudi Arabia,2022,Diabetes,Chronic,17.21,1.19,2.08,19-35,Other,232255,92.2,3.87,7.08,Surgery,49782.0,Yes,64.82,1126.0,8.53,40224.0,0.45,69.08 +57907,Indonesia,2015,Ebola,Infectious,2.07,14.0,6.67,19-35,Other,937867,78.15,3.5,9.77,Medication,36829.0,Yes,50.69,3187.0,3.6,92660.0,0.75,63.18 +57913,Nigeria,2024,Cancer,Respiratory,6.33,12.27,6.64,61+,Female,71582,68.9,2.4,1.96,Therapy,5938.0,No,56.04,4717.0,3.12,10532.0,0.5,52.59 +57918,China,2009,Dengue,Genetic,3.42,8.12,5.97,36-60,Male,205538,57.26,2.61,6.76,Vaccination,28956.0,Yes,98.86,2737.0,6.12,62726.0,0.54,20.71 +57936,USA,2003,Influenza,Autoimmune,14.13,4.12,4.0,61+,Other,138807,80.24,3.77,4.96,Vaccination,37637.0,Yes,96.17,932.0,9.75,48307.0,0.69,73.73 +57942,USA,2006,Hepatitis,Respiratory,10.42,0.31,1.44,61+,Other,658504,79.81,2.32,5.35,Vaccination,10239.0,No,66.1,1788.0,4.66,37624.0,0.46,70.62 +57947,Italy,2008,Leprosy,Parasitic,18.81,12.26,5.63,19-35,Other,558503,68.84,1.29,1.33,Medication,29236.0,No,77.42,3481.0,3.81,29218.0,0.58,59.74 +57952,Italy,2018,Asthma,Infectious,17.87,5.24,5.92,0-18,Female,857681,95.74,1.67,7.9,Surgery,18760.0,Yes,63.48,2162.0,1.93,84276.0,0.81,66.43 +57953,Germany,2021,Cholera,Respiratory,0.94,7.76,6.67,36-60,Female,124219,54.77,4.69,2.07,Vaccination,34112.0,Yes,81.89,1931.0,7.59,98836.0,0.46,27.62 +57958,Japan,2005,Tuberculosis,Metabolic,2.62,7.91,5.08,0-18,Female,644051,71.84,2.69,3.74,Surgery,183.0,Yes,89.49,1948.0,2.28,29387.0,0.82,41.19 +57963,Indonesia,2021,Cancer,Chronic,2.52,13.6,1.28,19-35,Female,153628,68.36,3.53,8.35,Therapy,24056.0,Yes,91.84,2419.0,9.2,72578.0,0.85,81.0 +57965,Russia,2012,Leprosy,Chronic,5.62,13.77,6.32,0-18,Other,103274,94.96,2.92,1.65,Surgery,31703.0,Yes,59.22,517.0,0.34,84707.0,0.56,50.75 +57968,China,2015,Alzheimer's Disease,Autoimmune,8.84,8.46,1.47,36-60,Other,890550,89.7,3.86,4.44,Vaccination,21801.0,Yes,98.33,1732.0,7.47,41486.0,0.85,56.55 +57972,Argentina,2014,Ebola,Bacterial,8.72,11.37,4.18,36-60,Other,965227,90.07,1.88,3.8,Therapy,48889.0,Yes,93.27,3817.0,7.66,59122.0,0.52,89.45 +57973,Italy,2011,Diabetes,Cardiovascular,14.52,0.46,0.11,19-35,Female,566279,59.51,1.03,9.95,Vaccination,24611.0,No,90.44,3472.0,0.85,25736.0,0.85,48.16 +57975,Australia,2021,Hypertension,Neurological,5.82,0.55,9.77,19-35,Male,874831,94.0,3.66,6.59,Vaccination,28129.0,Yes,91.97,1398.0,3.44,23796.0,0.42,23.93 +57979,India,2003,Diabetes,Bacterial,2.22,6.04,9.29,61+,Other,846356,80.88,4.92,5.02,Medication,2672.0,No,56.39,4295.0,9.03,82228.0,0.49,83.6 +57986,Brazil,2006,Hypertension,Genetic,2.22,7.5,7.6,61+,Other,342301,95.16,3.46,9.04,Therapy,23804.0,Yes,53.49,3062.0,0.44,21342.0,0.52,28.17 +57987,France,2024,Rabies,Metabolic,8.82,5.43,5.68,36-60,Female,559649,84.52,2.57,7.54,Surgery,47036.0,Yes,95.84,3874.0,1.65,50902.0,0.66,78.8 +57990,Japan,2007,Leprosy,Infectious,4.66,1.17,7.35,61+,Other,837783,64.1,4.28,9.37,Therapy,7014.0,Yes,89.92,2002.0,0.6,6972.0,0.42,33.27 +57991,UK,2018,HIV/AIDS,Chronic,18.83,8.17,1.08,19-35,Female,795127,93.68,1.99,3.89,Therapy,10898.0,No,56.0,2762.0,4.37,87066.0,0.82,69.32 +57995,Brazil,2006,Parkinson's Disease,Respiratory,14.11,5.82,6.69,19-35,Female,241327,77.71,3.13,9.1,Medication,48004.0,Yes,74.85,1136.0,7.44,90941.0,0.61,28.95 +58000,India,2010,Measles,Genetic,14.76,10.53,9.85,19-35,Other,684793,74.76,3.67,3.91,Therapy,32929.0,Yes,79.21,94.0,6.1,40086.0,0.73,24.18 +58004,Brazil,2011,Hepatitis,Infectious,9.78,13.79,6.21,36-60,Other,499254,53.97,3.21,9.99,Medication,42562.0,No,88.75,3189.0,1.31,46702.0,0.81,28.01 +58010,Saudi Arabia,2003,Diabetes,Respiratory,13.97,2.29,3.68,61+,Male,819409,62.91,3.99,5.85,Vaccination,42966.0,No,63.2,211.0,7.85,53670.0,0.52,66.42 +58012,Turkey,2010,Rabies,Bacterial,5.7,0.38,0.73,0-18,Female,573607,82.04,1.47,1.59,Vaccination,7552.0,No,73.06,4599.0,1.69,51245.0,0.61,32.36 +58021,UK,2002,Hypertension,Respiratory,7.72,11.74,2.76,36-60,Other,395089,51.54,3.88,0.99,Surgery,36912.0,No,94.27,2054.0,3.97,27862.0,0.53,73.32 +58027,Australia,2018,Asthma,Infectious,0.15,13.89,1.14,36-60,Female,58522,93.93,2.03,6.33,Medication,24129.0,No,68.54,796.0,6.08,2850.0,0.52,53.14 +58033,South Africa,2013,Zika,Respiratory,0.12,2.35,6.93,0-18,Female,619695,53.02,0.9,9.92,Vaccination,47503.0,No,89.66,4687.0,9.45,67382.0,0.68,34.89 +58035,Brazil,2013,Zika,Infectious,4.71,2.92,2.49,0-18,Male,585336,56.99,1.99,1.31,Vaccination,42732.0,Yes,82.04,909.0,1.01,25357.0,0.89,57.08 +58037,Canada,2024,HIV/AIDS,Infectious,7.35,9.29,7.18,0-18,Male,947591,84.98,2.65,3.66,Medication,1822.0,No,61.07,2418.0,8.66,8189.0,0.47,73.13 +58040,Mexico,2020,Cholera,Genetic,8.04,5.09,3.91,0-18,Other,397844,95.2,1.87,0.98,Surgery,2712.0,Yes,57.14,1943.0,4.18,79742.0,0.7,75.22 +58044,Canada,2016,Measles,Metabolic,6.6,14.05,4.13,36-60,Female,482865,90.63,1.91,7.54,Vaccination,12116.0,Yes,93.25,2087.0,1.75,22915.0,0.85,28.19 +58051,Australia,2004,Hypertension,Chronic,19.42,9.63,0.91,36-60,Female,233865,59.23,3.31,1.23,Therapy,451.0,No,85.83,1427.0,2.71,5679.0,0.73,41.1 +58054,USA,2005,Zika,Chronic,11.48,13.12,8.12,0-18,Female,421834,50.26,4.18,9.35,Medication,40319.0,Yes,67.15,170.0,8.18,27095.0,0.68,86.09 +58063,Brazil,2023,Influenza,Neurological,5.18,14.37,5.15,36-60,Other,532601,91.1,1.14,4.38,Vaccination,19211.0,Yes,82.75,1474.0,8.27,64023.0,0.44,75.19 +58067,Japan,2001,Hepatitis,Metabolic,8.49,7.73,6.65,36-60,Female,893312,92.97,3.18,7.03,Medication,9754.0,Yes,96.39,1175.0,6.39,87107.0,0.57,43.21 +58068,USA,2017,Ebola,Autoimmune,13.01,9.19,7.09,19-35,Female,177316,89.89,3.01,4.53,Vaccination,42141.0,No,84.33,2206.0,8.83,88764.0,0.83,70.59 +58071,India,2016,Dengue,Respiratory,5.58,9.14,6.83,0-18,Male,230447,71.06,4.97,8.94,Medication,15388.0,No,50.43,3673.0,2.65,41685.0,0.54,83.31 +58079,Saudi Arabia,2000,Malaria,Bacterial,11.64,8.39,3.76,19-35,Female,301030,59.59,1.24,5.27,Medication,13786.0,Yes,70.9,711.0,0.92,29148.0,0.52,56.74 +58082,Russia,2018,Rabies,Cardiovascular,11.2,1.51,5.16,61+,Male,735288,94.39,1.71,2.32,Surgery,32466.0,No,72.07,4321.0,6.61,1799.0,0.65,66.14 +58086,Indonesia,2020,Influenza,Viral,15.57,5.05,9.44,36-60,Other,259846,62.1,1.22,9.5,Medication,2162.0,No,50.46,3171.0,0.7,57369.0,0.86,20.19 +58098,Brazil,2024,Asthma,Viral,11.82,0.28,8.86,19-35,Other,232111,75.52,1.8,9.35,Therapy,37625.0,Yes,77.77,298.0,2.12,37035.0,0.56,82.36 +58101,Indonesia,2004,Alzheimer's Disease,Metabolic,7.1,4.93,0.58,36-60,Male,329383,78.78,2.82,2.15,Surgery,45579.0,No,97.66,737.0,1.86,62807.0,0.57,20.37 +58104,Saudi Arabia,2021,Zika,Genetic,18.04,1.13,6.93,19-35,Female,669423,59.65,0.76,3.56,Therapy,18259.0,No,95.27,3564.0,1.05,9023.0,0.71,61.37 +58114,Russia,2002,Tuberculosis,Infectious,5.3,6.02,4.38,61+,Female,730871,73.17,2.72,5.49,Surgery,29500.0,No,68.49,925.0,3.8,86734.0,0.68,62.86 +58116,Russia,2002,Zika,Viral,7.16,9.64,4.71,19-35,Male,509266,87.45,3.92,8.25,Therapy,49718.0,Yes,63.49,1404.0,0.62,50809.0,0.48,39.57 +58133,Germany,2022,COVID-19,Cardiovascular,14.61,12.51,5.04,0-18,Female,165817,93.79,3.82,6.67,Surgery,9972.0,Yes,95.34,3521.0,2.05,61864.0,0.83,85.44 +58140,France,2005,Tuberculosis,Metabolic,7.79,7.09,2.8,19-35,Other,507874,71.35,1.76,8.55,Therapy,49431.0,No,54.1,3309.0,5.47,80871.0,0.85,78.97 +58148,South Africa,2003,Cholera,Viral,3.0,14.05,6.45,36-60,Female,218575,50.93,3.07,2.34,Therapy,4996.0,Yes,83.44,1295.0,4.87,22619.0,0.69,23.01 +58149,South Africa,2007,Rabies,Respiratory,5.97,11.92,7.46,0-18,Other,779706,80.27,4.13,8.96,Medication,21057.0,No,85.01,1272.0,4.37,39309.0,0.53,27.66 +58153,Turkey,2023,COVID-19,Respiratory,7.37,13.27,9.8,61+,Male,64834,56.41,0.92,2.86,Vaccination,10379.0,No,50.05,3249.0,9.63,20553.0,0.44,54.6 +58160,Turkey,2000,Diabetes,Viral,5.19,9.73,2.42,36-60,Female,302752,70.12,4.29,9.56,Therapy,861.0,No,80.42,2519.0,2.64,26179.0,0.73,76.42 +58163,Japan,2023,Parkinson's Disease,Chronic,14.47,2.72,5.75,36-60,Male,513400,57.62,2.13,8.53,Surgery,32547.0,Yes,87.73,930.0,1.57,39218.0,0.83,52.54 +58167,UK,2008,HIV/AIDS,Bacterial,3.71,11.35,6.42,19-35,Male,93543,66.25,4.58,5.83,Therapy,32157.0,No,60.94,4145.0,8.06,48873.0,0.42,51.43 +58168,South Africa,2016,Hypertension,Viral,12.24,3.21,1.56,61+,Female,736175,88.03,3.42,3.77,Medication,28807.0,No,65.31,3294.0,8.21,79083.0,0.49,24.79 +58172,Nigeria,2003,Parkinson's Disease,Parasitic,8.02,13.7,0.6,61+,Male,400410,55.19,2.0,5.55,Vaccination,16921.0,Yes,73.5,1704.0,0.19,70364.0,0.67,45.44 +58174,Italy,2024,HIV/AIDS,Autoimmune,1.4,10.54,5.47,0-18,Male,733524,84.63,3.65,4.45,Medication,45305.0,No,71.24,3515.0,9.2,44765.0,0.76,76.26 +58178,Italy,2024,Dengue,Neurological,6.62,1.58,5.18,0-18,Female,337523,76.08,1.41,7.48,Therapy,14653.0,Yes,88.43,1085.0,8.11,22748.0,0.65,66.47 +58185,Germany,2014,Malaria,Respiratory,1.56,13.73,9.01,61+,Male,958995,65.45,1.95,6.57,Vaccination,44252.0,Yes,50.39,1006.0,0.07,99560.0,0.8,74.28 +58187,Mexico,2004,Leprosy,Bacterial,16.08,14.88,6.08,0-18,Female,702205,63.98,1.74,1.73,Medication,28409.0,Yes,68.14,2815.0,0.99,69539.0,0.5,59.71 +58189,Brazil,2017,COVID-19,Metabolic,17.54,8.79,5.74,19-35,Male,411730,80.57,1.15,0.76,Surgery,4637.0,Yes,71.65,1350.0,2.64,10768.0,0.72,73.57 +58212,Mexico,2010,Asthma,Cardiovascular,16.22,0.57,6.86,19-35,Female,21151,95.49,0.65,3.88,Medication,1188.0,Yes,68.03,1284.0,5.64,29615.0,0.5,43.3 +58217,China,2004,Measles,Neurological,19.18,10.03,9.45,36-60,Other,478105,90.18,2.21,2.26,Vaccination,18796.0,Yes,94.06,1384.0,4.8,46890.0,0.58,76.29 +58219,USA,2004,Ebola,Respiratory,6.95,9.71,1.7,0-18,Other,442122,69.26,2.95,9.97,Medication,42397.0,No,62.65,3148.0,5.91,98909.0,0.57,53.59 +58225,Turkey,2003,Hepatitis,Chronic,14.23,14.64,4.68,61+,Other,489553,92.35,0.65,6.36,Vaccination,19152.0,Yes,77.84,1449.0,2.67,52232.0,0.5,35.98 +58228,South Korea,2020,Alzheimer's Disease,Cardiovascular,16.21,8.67,6.29,0-18,Male,916483,84.43,0.7,6.92,Vaccination,46295.0,No,72.56,904.0,8.16,82709.0,0.83,87.85 +58230,Japan,2003,Tuberculosis,Infectious,5.81,3.32,1.41,19-35,Other,998928,88.34,1.22,4.86,Surgery,4486.0,No,79.03,1662.0,4.45,49134.0,0.71,61.41 +58233,China,2001,Cancer,Cardiovascular,10.28,8.74,4.62,36-60,Female,294390,95.87,2.57,7.15,Medication,47894.0,Yes,84.81,555.0,2.99,64558.0,0.69,82.37 +58237,France,2009,Influenza,Infectious,4.62,0.98,8.01,0-18,Female,589554,67.1,1.93,4.19,Surgery,6254.0,No,63.7,2735.0,9.23,57910.0,0.69,57.75 +58256,South Korea,2018,Diabetes,Neurological,16.98,0.67,2.85,61+,Male,497544,97.39,5.0,9.96,Medication,33481.0,Yes,70.86,2286.0,4.07,60481.0,0.77,66.14 +58258,Canada,2000,Cholera,Metabolic,18.17,11.48,4.08,61+,Female,58753,75.55,2.99,9.83,Surgery,14374.0,No,70.17,2830.0,7.06,29692.0,0.41,80.07 +58267,India,2022,Parkinson's Disease,Chronic,2.46,3.55,6.74,61+,Male,116486,81.44,0.54,9.1,Medication,42570.0,No,65.1,4385.0,0.68,19824.0,0.52,60.24 +58274,Saudi Arabia,2005,Dengue,Cardiovascular,4.97,5.75,2.52,19-35,Female,136028,80.63,3.11,9.95,Vaccination,28042.0,No,90.41,740.0,1.62,28653.0,0.6,39.71 +58275,China,2019,Rabies,Viral,6.98,6.25,4.16,0-18,Other,668448,82.53,4.89,8.99,Therapy,25931.0,Yes,53.22,2388.0,1.0,92051.0,0.71,34.9 +58294,Nigeria,2017,Cholera,Respiratory,11.33,7.23,7.98,61+,Male,876514,81.12,4.92,1.4,Therapy,32698.0,No,60.13,3025.0,9.16,98715.0,0.8,45.93 +58297,Turkey,2022,Diabetes,Infectious,13.73,14.34,0.11,19-35,Male,498048,61.48,4.6,9.55,Vaccination,17865.0,Yes,97.68,2171.0,5.94,48767.0,0.75,22.98 +58298,Mexico,2006,Parkinson's Disease,Chronic,13.47,0.3,2.83,36-60,Male,898362,95.65,2.2,2.88,Vaccination,32433.0,Yes,66.05,4336.0,6.51,2060.0,0.46,60.58 +58303,Brazil,2019,Dengue,Viral,9.95,6.56,2.38,36-60,Female,966890,67.23,3.27,7.39,Therapy,32736.0,Yes,93.56,3621.0,8.61,73454.0,0.85,24.78 +58306,Germany,2012,Hypertension,Viral,5.35,10.47,3.31,61+,Female,626144,51.66,1.1,2.4,Therapy,6390.0,Yes,97.22,2027.0,2.71,96569.0,0.82,47.25 +58308,USA,2022,Alzheimer's Disease,Genetic,0.55,13.12,0.37,19-35,Female,507192,84.14,1.87,4.03,Vaccination,22269.0,No,87.19,3571.0,8.49,49062.0,0.7,60.4 +58309,Russia,2002,Cholera,Cardiovascular,17.39,13.71,3.25,61+,Other,85827,81.32,2.71,4.61,Surgery,8771.0,No,66.22,3975.0,8.93,79253.0,0.41,62.24 +58311,Mexico,2010,Cholera,Chronic,18.84,14.94,4.52,36-60,Male,645511,78.74,1.05,2.41,Surgery,49242.0,No,69.01,4880.0,8.09,52541.0,0.81,45.21 +58312,Germany,2016,COVID-19,Neurological,16.06,2.31,9.97,61+,Male,964704,89.23,2.47,0.78,Therapy,35430.0,Yes,88.57,4726.0,8.93,12480.0,0.47,77.31 +58315,Saudi Arabia,2009,Hepatitis,Viral,6.28,4.19,5.82,19-35,Female,182654,52.2,3.95,1.41,Therapy,971.0,No,72.55,1401.0,1.97,4760.0,0.56,55.46 +58320,Turkey,2000,Rabies,Viral,0.71,5.46,1.03,0-18,Female,844350,87.11,1.0,2.67,Medication,4383.0,No,74.94,2583.0,1.35,95308.0,0.87,80.58 +58328,Saudi Arabia,2015,Leprosy,Autoimmune,6.03,13.39,8.17,0-18,Male,821351,57.61,1.42,1.46,Therapy,2389.0,No,92.08,2428.0,7.7,53509.0,0.72,26.88 +58329,Saudi Arabia,2020,Leprosy,Chronic,13.78,10.83,7.29,61+,Male,71707,66.14,3.77,7.66,Medication,31609.0,No,69.1,880.0,6.05,68962.0,0.4,30.15 +58330,Italy,2019,Influenza,Parasitic,13.88,10.88,1.84,19-35,Male,182134,67.82,2.69,9.29,Medication,27538.0,No,52.03,2250.0,1.51,96425.0,0.43,22.27 +58338,Argentina,2022,Cancer,Viral,11.48,2.64,5.02,19-35,Female,881579,88.46,1.15,4.87,Vaccination,26448.0,Yes,72.01,991.0,9.31,92378.0,0.49,49.47 +58340,India,2011,HIV/AIDS,Cardiovascular,10.73,5.72,5.79,19-35,Male,112211,54.89,4.19,7.57,Therapy,10896.0,No,96.02,4525.0,8.19,27292.0,0.42,22.64 +58345,France,2017,Ebola,Autoimmune,17.19,10.33,5.83,36-60,Other,501459,61.98,1.15,4.09,Medication,11624.0,Yes,73.69,1862.0,3.52,62361.0,0.62,38.35 +58351,USA,2010,COVID-19,Parasitic,9.84,4.15,9.79,36-60,Other,259628,84.83,4.79,3.38,Medication,35301.0,Yes,77.01,2988.0,3.65,11816.0,0.67,70.28 +58353,South Africa,2020,Measles,Parasitic,4.35,14.21,0.52,0-18,Male,854363,76.37,2.69,2.81,Vaccination,49345.0,Yes,51.01,4918.0,6.13,89918.0,0.82,54.79 +58354,Turkey,2012,Alzheimer's Disease,Viral,13.77,14.89,3.89,19-35,Male,293945,89.12,4.63,1.14,Surgery,48745.0,No,90.89,2187.0,5.3,39405.0,0.56,65.14 +58357,India,2003,Diabetes,Autoimmune,0.9,14.45,2.32,0-18,Female,59752,86.98,4.19,9.23,Vaccination,34915.0,Yes,54.56,3866.0,9.46,18725.0,0.75,25.68 +58358,USA,2016,Tuberculosis,Infectious,5.09,12.31,2.94,0-18,Male,160301,88.37,1.75,6.47,Therapy,13358.0,Yes,94.8,3640.0,6.84,38898.0,0.65,59.44 +58362,Nigeria,2013,Hypertension,Bacterial,14.84,7.76,5.89,0-18,Male,561906,56.4,4.12,5.63,Vaccination,36973.0,No,93.85,2143.0,0.92,69568.0,0.78,22.17 +58375,South Korea,2021,Tuberculosis,Autoimmune,6.18,10.34,4.68,0-18,Female,886185,51.86,3.29,9.38,Vaccination,6355.0,Yes,57.15,3525.0,2.42,7809.0,0.53,46.51 +58385,South Africa,2020,Cholera,Infectious,0.56,3.84,9.79,61+,Other,727251,51.94,2.38,6.87,Vaccination,19920.0,Yes,83.67,651.0,8.98,46200.0,0.85,21.36 +58395,USA,2011,Hepatitis,Autoimmune,7.14,8.36,9.41,36-60,Female,136539,52.78,0.52,4.18,Medication,2021.0,Yes,75.38,1605.0,0.41,98682.0,0.85,53.3 +58399,UK,2021,Polio,Genetic,14.44,6.8,6.01,61+,Female,36865,75.12,2.8,6.02,Medication,19776.0,Yes,92.45,775.0,8.96,76803.0,0.63,80.29 +58411,India,2016,Asthma,Autoimmune,19.75,11.4,2.62,0-18,Female,198542,77.32,1.52,4.94,Therapy,13166.0,No,85.89,4505.0,7.97,78748.0,0.52,68.81 +58412,Nigeria,2005,Parkinson's Disease,Cardiovascular,11.99,13.5,5.42,61+,Male,710887,51.62,4.42,1.13,Vaccination,39769.0,Yes,64.49,2493.0,3.92,58249.0,0.7,41.23 +58413,India,2024,Cholera,Metabolic,3.89,6.04,7.3,36-60,Male,129951,70.44,4.6,9.87,Vaccination,39882.0,No,71.37,2393.0,0.55,45310.0,0.49,42.98 +58414,France,2017,Polio,Genetic,9.4,10.32,7.49,19-35,Male,858038,50.06,0.7,9.94,Medication,5805.0,Yes,53.59,1056.0,1.41,79700.0,0.7,24.16 +58426,Russia,2000,Cancer,Metabolic,9.09,4.31,3.04,0-18,Other,315763,82.2,4.18,1.77,Therapy,7594.0,No,87.48,3491.0,3.49,67092.0,0.65,76.83 +58433,UK,2015,Malaria,Chronic,3.68,6.1,6.87,61+,Other,558175,98.65,3.65,0.8,Therapy,40476.0,Yes,71.51,163.0,4.4,62228.0,0.59,40.89 +58438,Argentina,2014,Tuberculosis,Chronic,15.79,6.44,6.83,36-60,Male,150933,85.43,3.42,8.79,Medication,44875.0,Yes,75.06,3538.0,2.73,83832.0,0.74,47.5 +58452,Argentina,2012,Alzheimer's Disease,Respiratory,3.03,6.21,8.64,36-60,Other,517150,90.51,2.68,1.51,Vaccination,5774.0,No,89.31,2449.0,6.08,80035.0,0.53,79.69 +58461,South Africa,2006,Tuberculosis,Autoimmune,19.21,9.69,0.17,36-60,Female,969572,73.66,2.46,2.25,Surgery,21258.0,No,63.21,4465.0,6.53,91415.0,0.62,75.06 +58481,Brazil,2023,Asthma,Viral,11.65,4.55,4.82,36-60,Male,393439,89.18,1.51,1.1,Vaccination,32999.0,No,73.0,3204.0,3.5,44031.0,0.64,21.74 +58482,China,2008,Leprosy,Parasitic,5.93,3.64,4.15,0-18,Other,916435,52.52,3.2,6.31,Surgery,5417.0,No,93.35,2237.0,0.92,31314.0,0.57,35.89 +58484,China,2001,HIV/AIDS,Metabolic,9.22,11.75,6.7,19-35,Male,60520,78.79,0.64,3.73,Medication,6678.0,No,95.89,5.0,4.46,13703.0,0.6,34.06 +58490,UK,2022,Polio,Infectious,14.92,3.88,0.49,19-35,Other,317092,85.02,3.43,3.38,Medication,21970.0,No,85.5,2531.0,7.61,96432.0,0.53,30.54 +58493,Argentina,2011,Malaria,Infectious,13.0,2.55,7.72,19-35,Female,213716,70.71,2.03,6.62,Surgery,36234.0,Yes,66.6,4722.0,5.88,51964.0,0.57,54.43 +58497,Argentina,2020,Diabetes,Cardiovascular,6.25,4.31,9.2,0-18,Female,13134,85.48,3.65,5.89,Surgery,17293.0,Yes,68.65,4440.0,5.87,39468.0,0.73,56.57 +58505,UK,2000,Cancer,Metabolic,11.04,1.56,2.93,61+,Female,792850,60.45,2.24,3.57,Surgery,2317.0,Yes,74.48,3101.0,0.57,3590.0,0.65,44.23 +58510,Mexico,2011,Parkinson's Disease,Neurological,12.15,10.51,5.61,19-35,Male,504637,83.44,0.93,8.99,Vaccination,42107.0,No,86.13,1142.0,1.49,19150.0,0.81,65.13 +58511,Italy,2020,Diabetes,Cardiovascular,11.54,11.66,7.87,61+,Other,979278,51.27,3.38,5.06,Medication,20507.0,Yes,85.14,324.0,3.67,43875.0,0.68,88.08 +58519,Mexico,2017,Dengue,Viral,9.37,12.6,6.0,19-35,Male,624388,75.15,4.45,3.06,Surgery,45650.0,Yes,69.12,3823.0,7.85,63893.0,0.83,87.47 +58523,South Africa,2020,Malaria,Bacterial,18.03,13.02,0.87,36-60,Other,873793,71.2,0.99,2.6,Vaccination,7520.0,Yes,91.15,4618.0,7.49,65409.0,0.88,39.21 +58531,Russia,2021,Leprosy,Genetic,1.66,14.63,0.14,19-35,Male,375209,86.88,4.03,8.57,Medication,15994.0,Yes,85.94,819.0,7.65,13126.0,0.55,21.97 +58532,Argentina,2018,COVID-19,Respiratory,14.93,0.22,1.02,36-60,Male,670812,52.78,2.04,3.74,Vaccination,21586.0,No,60.07,635.0,9.46,51349.0,0.49,23.51 +58539,USA,2018,Dengue,Metabolic,11.63,12.43,4.44,61+,Male,76609,60.54,2.58,8.25,Medication,13851.0,No,76.08,35.0,1.18,47923.0,0.68,36.42 +58543,Russia,2012,Dengue,Chronic,17.77,5.31,6.09,0-18,Female,313832,87.82,4.3,0.96,Vaccination,22795.0,Yes,82.98,2063.0,2.98,48095.0,0.89,55.01 +58546,India,2006,Ebola,Neurological,3.08,0.5,2.12,0-18,Other,963918,58.62,2.26,9.98,Surgery,34219.0,Yes,55.14,2835.0,5.77,36292.0,0.65,41.64 +58549,UK,2022,Cholera,Neurological,9.2,8.5,0.12,36-60,Female,852756,82.23,1.46,3.59,Vaccination,17374.0,Yes,97.45,1397.0,6.59,28423.0,0.64,67.44 +58555,China,2011,Rabies,Viral,3.96,14.77,0.96,61+,Female,326693,73.63,3.23,3.83,Surgery,9139.0,Yes,59.24,3319.0,2.5,63889.0,0.68,31.06 +58573,Canada,2023,Cholera,Neurological,13.52,3.93,5.28,19-35,Other,986018,70.98,1.99,1.34,Therapy,6327.0,Yes,73.84,1607.0,0.17,31170.0,0.56,22.84 +58585,Indonesia,2024,Dengue,Neurological,8.02,13.74,8.13,61+,Other,155956,91.29,1.69,6.0,Medication,46641.0,No,90.13,1518.0,3.31,85224.0,0.82,61.3 +58593,USA,2000,HIV/AIDS,Genetic,11.97,8.42,8.74,19-35,Other,851326,94.11,2.45,2.32,Vaccination,21705.0,No,69.94,488.0,0.33,74742.0,0.81,76.77 +58594,Russia,2014,Parkinson's Disease,Parasitic,9.82,14.89,1.84,19-35,Other,550812,95.98,3.65,0.5,Therapy,529.0,Yes,78.42,2912.0,0.62,23913.0,0.9,84.33 +58596,Italy,2023,Malaria,Genetic,16.68,9.5,8.63,61+,Female,938233,73.5,2.39,2.97,Medication,38579.0,No,63.37,4436.0,9.88,31044.0,0.41,67.73 +58603,China,2006,Measles,Metabolic,14.23,11.97,5.05,36-60,Female,956029,53.62,0.73,0.83,Medication,8898.0,Yes,65.01,2209.0,4.46,69573.0,0.56,70.98 +58608,Russia,2021,Ebola,Neurological,14.57,5.06,5.39,19-35,Other,627839,56.73,1.28,1.48,Surgery,13091.0,No,92.47,926.0,5.99,26012.0,0.42,44.83 +58615,UK,2022,Ebola,Genetic,10.62,6.1,5.61,36-60,Other,6423,60.95,2.21,5.37,Medication,4458.0,Yes,56.86,4680.0,4.02,80006.0,0.42,82.66 +58619,Russia,2006,Diabetes,Genetic,6.02,12.51,1.93,19-35,Male,398740,91.34,1.53,3.91,Vaccination,11755.0,No,62.09,2822.0,7.0,42240.0,0.76,36.88 +58621,South Korea,2010,Cancer,Cardiovascular,16.4,5.1,6.63,0-18,Female,448274,66.66,2.8,8.1,Vaccination,48549.0,No,93.48,1319.0,6.85,23435.0,0.54,24.9 +58622,India,2003,Alzheimer's Disease,Neurological,14.96,3.31,9.58,0-18,Female,15452,84.3,0.93,5.3,Surgery,25140.0,Yes,63.42,1373.0,2.79,46830.0,0.87,69.4 +58624,Nigeria,2001,Rabies,Autoimmune,5.98,9.76,8.88,19-35,Female,974716,59.48,4.55,1.24,Vaccination,30178.0,No,50.41,1213.0,2.07,40024.0,0.53,43.26 +58626,Indonesia,2010,Cancer,Respiratory,13.98,13.95,7.52,61+,Female,556384,63.51,2.07,4.06,Surgery,16520.0,No,98.84,390.0,3.07,47391.0,0.49,23.67 +58629,South Africa,2000,Parkinson's Disease,Metabolic,3.37,6.0,7.04,36-60,Male,908808,57.35,3.39,6.54,Therapy,49427.0,No,91.12,3470.0,4.32,31034.0,0.5,22.39 +58639,Russia,2006,Rabies,Chronic,0.25,0.66,7.29,61+,Other,815364,97.6,1.77,3.76,Therapy,42210.0,No,65.98,2589.0,5.31,6139.0,0.64,39.75 +58645,Japan,2010,Rabies,Parasitic,17.36,8.93,4.41,19-35,Female,809603,55.31,2.91,9.5,Medication,25148.0,Yes,92.05,1674.0,3.41,30977.0,0.52,20.2 +58646,Italy,2001,Zika,Respiratory,18.76,9.81,3.43,36-60,Male,361739,72.81,3.34,8.19,Surgery,16819.0,Yes,79.31,1568.0,7.18,53988.0,0.41,28.94 +58650,South Africa,2014,HIV/AIDS,Neurological,7.46,5.84,9.74,19-35,Male,494551,76.83,3.41,5.59,Therapy,9141.0,No,80.34,1593.0,6.64,65609.0,0.51,85.19 +58656,UK,2019,Rabies,Neurological,2.06,9.79,7.22,36-60,Male,408698,85.97,0.74,9.57,Medication,28911.0,Yes,51.87,214.0,6.04,15468.0,0.87,62.19 +58660,China,2008,Asthma,Respiratory,12.25,4.08,3.7,0-18,Female,603685,56.42,0.89,2.49,Medication,17790.0,Yes,64.09,2337.0,4.77,68786.0,0.53,89.81 +58672,Argentina,2008,HIV/AIDS,Bacterial,13.11,11.95,6.85,36-60,Female,649386,66.49,0.65,8.68,Medication,48626.0,No,51.47,769.0,4.84,75183.0,0.76,54.9 +58673,Canada,2009,Polio,Bacterial,8.19,0.57,9.05,19-35,Male,413892,80.15,4.53,2.77,Therapy,40584.0,Yes,55.79,1564.0,8.82,70168.0,0.48,23.92 +58674,China,2011,Hypertension,Genetic,2.21,13.81,8.7,61+,Male,6492,92.88,3.86,2.2,Therapy,24496.0,Yes,50.57,3105.0,0.39,20183.0,0.78,88.23 +58679,South Africa,2005,Leprosy,Chronic,5.4,2.81,2.17,36-60,Female,65020,99.47,3.96,5.28,Medication,20539.0,No,94.67,3427.0,3.3,39234.0,0.48,88.32 +58681,South Korea,2000,Malaria,Cardiovascular,4.95,13.23,5.04,61+,Other,141626,60.81,1.92,1.91,Surgery,28671.0,No,67.66,1539.0,9.07,54142.0,0.88,38.4 +58683,Mexico,2018,Diabetes,Respiratory,5.06,9.47,4.59,19-35,Female,972439,67.44,4.25,5.78,Therapy,18683.0,Yes,96.41,3473.0,2.02,1325.0,0.47,33.36 +58685,South Korea,2020,Cholera,Cardiovascular,4.88,9.39,9.45,0-18,Male,216157,83.42,2.07,4.32,Vaccination,43018.0,No,85.01,628.0,1.44,17618.0,0.73,50.4 +58691,Mexico,2004,Hypertension,Bacterial,1.06,8.79,7.76,19-35,Other,875783,79.71,1.85,5.32,Vaccination,22953.0,No,90.68,3372.0,5.23,57367.0,0.68,75.33 +58695,Japan,2002,Diabetes,Metabolic,12.56,4.83,2.24,61+,Male,794374,61.79,2.54,2.61,Vaccination,42947.0,No,55.87,4414.0,7.49,39835.0,0.72,50.87 +58698,South Africa,2005,Leprosy,Respiratory,7.03,5.81,7.63,36-60,Male,56806,88.65,3.97,9.7,Therapy,14129.0,No,53.4,610.0,8.43,37794.0,0.54,54.81 +58701,Australia,2018,Alzheimer's Disease,Parasitic,1.31,11.25,5.4,0-18,Female,347183,80.24,4.31,2.96,Medication,4494.0,No,86.74,2772.0,10.0,14043.0,0.42,24.85 +58716,China,2009,Hepatitis,Cardiovascular,18.83,8.39,6.87,36-60,Male,982873,62.75,4.11,3.17,Therapy,22099.0,Yes,88.13,4809.0,6.04,97584.0,0.79,61.08 +58717,Russia,2019,Dengue,Bacterial,5.53,2.18,4.21,61+,Other,441084,83.45,4.53,2.16,Therapy,38271.0,Yes,63.99,935.0,2.19,90601.0,0.42,44.59 +58727,South Africa,2018,Malaria,Autoimmune,14.88,11.55,6.48,61+,Male,537628,87.53,4.71,2.81,Therapy,7064.0,No,59.42,118.0,7.69,49854.0,0.44,28.0 +58732,India,2000,Polio,Bacterial,0.94,9.73,5.21,19-35,Female,477944,97.51,3.05,2.11,Therapy,12357.0,Yes,84.38,2472.0,1.83,34286.0,0.73,88.02 +58736,Germany,2004,HIV/AIDS,Metabolic,15.77,9.76,2.74,0-18,Male,91235,79.3,4.59,9.74,Surgery,37765.0,Yes,53.69,405.0,7.74,8868.0,0.75,39.87 +58742,South Korea,2015,Measles,Genetic,5.61,3.06,7.42,61+,Male,917946,68.39,3.65,8.1,Vaccination,21472.0,No,61.49,2090.0,9.27,91223.0,0.77,65.65 +58749,Russia,2013,Parkinson's Disease,Metabolic,18.11,12.92,6.64,36-60,Male,702692,75.14,0.72,2.22,Medication,19169.0,No,88.78,1910.0,9.08,88951.0,0.59,49.11 +58765,France,2010,Influenza,Viral,17.89,2.33,7.25,0-18,Other,278737,86.98,1.93,1.56,Therapy,12044.0,Yes,88.18,3161.0,4.91,14073.0,0.88,30.11 +58774,USA,2002,Hepatitis,Cardiovascular,6.61,9.1,6.28,19-35,Female,285576,86.82,1.31,8.43,Therapy,36469.0,No,89.63,1042.0,0.46,57103.0,0.53,66.31 +58778,China,2012,Polio,Genetic,13.74,14.84,6.75,19-35,Other,301034,62.98,3.28,9.95,Therapy,25573.0,Yes,97.43,4354.0,6.56,32360.0,0.56,62.3 +58779,Indonesia,2023,Polio,Neurological,11.17,10.22,7.95,19-35,Male,553853,69.49,3.93,2.21,Therapy,41964.0,No,79.7,1846.0,5.52,77558.0,0.72,59.75 +58784,South Korea,2010,Measles,Infectious,11.68,8.25,6.47,0-18,Other,137082,54.58,2.14,9.36,Vaccination,21753.0,No,98.14,823.0,4.7,50353.0,0.79,62.98 +58788,Germany,2001,Cancer,Respiratory,16.16,12.13,3.05,61+,Male,729745,83.91,3.71,5.52,Therapy,28485.0,Yes,61.89,1160.0,7.89,15774.0,0.77,80.62 +58790,USA,2004,Tuberculosis,Viral,3.75,7.36,6.73,36-60,Other,484314,87.42,3.69,9.83,Surgery,317.0,Yes,90.42,485.0,1.42,85733.0,0.77,82.73 +58799,Brazil,2019,Cholera,Genetic,17.44,0.17,9.83,36-60,Female,941525,94.2,1.59,7.24,Surgery,41463.0,Yes,66.94,616.0,3.78,94607.0,0.63,51.99 +58805,Italy,2024,Cholera,Cardiovascular,10.08,14.1,3.78,36-60,Female,308630,79.38,3.52,7.73,Vaccination,32097.0,No,61.02,2391.0,2.52,38853.0,0.56,65.94 +58812,Japan,2010,Alzheimer's Disease,Respiratory,13.42,1.41,9.09,36-60,Female,104240,91.46,4.05,3.86,Medication,11135.0,No,98.49,1407.0,6.05,68595.0,0.56,89.27 +58813,South Korea,2012,Asthma,Metabolic,2.91,0.76,9.44,36-60,Female,916312,96.52,1.95,2.12,Medication,11216.0,Yes,89.05,2629.0,1.01,42005.0,0.45,43.69 +58815,France,2024,HIV/AIDS,Metabolic,5.96,11.17,1.71,61+,Male,733879,74.25,2.58,7.37,Therapy,39598.0,No,77.0,4645.0,6.3,17961.0,0.53,68.68 +58822,Italy,2021,HIV/AIDS,Cardiovascular,10.11,10.51,4.92,19-35,Other,778957,63.11,3.38,4.33,Vaccination,49260.0,Yes,73.04,2116.0,8.57,84410.0,0.52,24.72 +58825,Russia,2014,Tuberculosis,Metabolic,13.78,6.48,2.95,19-35,Other,624839,65.92,3.1,9.75,Therapy,40422.0,Yes,79.33,1125.0,5.64,67721.0,0.46,25.67 +58852,Turkey,2016,Cholera,Neurological,7.71,8.61,1.5,61+,Female,952967,98.38,4.27,3.37,Medication,12433.0,Yes,74.01,1082.0,5.69,86825.0,0.62,46.48 +58854,Nigeria,2005,Cancer,Bacterial,1.85,6.37,6.01,0-18,Other,863486,85.17,4.21,7.01,Therapy,36514.0,Yes,60.11,2888.0,6.61,71989.0,0.74,39.92 +58855,France,2005,Hepatitis,Viral,7.41,13.25,6.07,0-18,Other,439397,51.58,2.28,3.88,Therapy,8959.0,Yes,98.1,4228.0,9.51,63732.0,0.43,70.91 +58859,Russia,2017,Zika,Autoimmune,6.97,0.89,4.41,19-35,Other,348061,58.56,2.77,9.58,Therapy,6715.0,Yes,93.24,1652.0,6.89,57696.0,0.46,44.5 +58866,France,2022,Cholera,Infectious,5.14,10.23,4.15,19-35,Female,45776,63.9,1.83,1.07,Surgery,29630.0,No,62.04,1174.0,3.78,77109.0,0.49,48.94 +58868,Italy,2006,Leprosy,Neurological,15.18,0.16,6.97,0-18,Other,863956,82.37,3.76,2.33,Vaccination,14500.0,Yes,74.38,3448.0,4.87,91583.0,0.41,81.35 +58872,Mexico,2021,Zika,Neurological,18.27,14.27,0.11,61+,Female,222855,60.31,0.75,4.73,Surgery,38891.0,Yes,60.09,2060.0,6.6,95373.0,0.62,48.52 +58881,USA,2010,Influenza,Cardiovascular,15.23,10.87,6.73,61+,Female,170140,73.64,0.89,5.0,Therapy,12559.0,No,64.95,1268.0,7.1,17052.0,0.56,74.56 +58891,South Africa,2003,Diabetes,Autoimmune,11.97,2.39,6.81,19-35,Other,642481,70.11,3.69,9.12,Therapy,20502.0,Yes,58.79,3227.0,6.92,63846.0,0.86,73.33 +58905,Australia,2023,Polio,Parasitic,17.04,2.87,2.29,61+,Male,724904,70.06,1.22,2.01,Vaccination,17052.0,No,66.61,3908.0,5.06,54252.0,0.53,31.65 +58914,Turkey,2015,Cholera,Neurological,11.58,0.9,8.73,36-60,Female,646732,94.71,1.0,1.92,Vaccination,25648.0,No,60.35,3648.0,4.04,93352.0,0.9,76.32 +58916,Germany,2007,Ebola,Viral,14.92,3.5,2.34,19-35,Female,683397,60.48,4.07,3.27,Medication,6870.0,Yes,95.11,4530.0,9.08,80621.0,0.62,40.3 +58930,France,2002,Asthma,Infectious,11.77,12.26,7.42,36-60,Female,212529,74.65,2.38,5.91,Surgery,13958.0,Yes,78.39,1902.0,5.58,47862.0,0.66,78.13 +58932,UK,2017,Alzheimer's Disease,Respiratory,9.96,12.51,9.75,0-18,Female,329007,85.67,3.67,1.61,Surgery,39189.0,No,63.55,2005.0,1.29,39800.0,0.82,25.13 +58935,France,2015,Asthma,Bacterial,7.28,8.17,0.92,0-18,Male,886109,61.78,2.15,6.73,Vaccination,11896.0,No,98.69,1725.0,8.63,98317.0,0.59,62.74 +58938,Brazil,2009,Influenza,Bacterial,5.21,0.15,9.82,61+,Other,759769,69.2,0.61,2.6,Surgery,823.0,Yes,87.46,4.0,7.98,28584.0,0.67,78.07 +58946,Japan,2017,Hepatitis,Chronic,19.35,10.62,5.58,36-60,Male,141812,76.56,1.1,5.91,Medication,22362.0,Yes,60.31,2541.0,9.28,64292.0,0.48,44.22 +58948,India,2001,Leprosy,Parasitic,11.82,8.27,0.16,19-35,Female,190520,91.28,2.37,8.39,Vaccination,48945.0,Yes,53.55,4943.0,6.52,88466.0,0.63,59.81 +58954,USA,2012,COVID-19,Respiratory,2.38,13.97,2.15,36-60,Male,883449,61.41,1.59,1.21,Surgery,23523.0,Yes,73.12,3181.0,5.99,56330.0,0.5,65.93 +58971,Italy,2018,Hepatitis,Cardiovascular,17.51,8.5,3.15,19-35,Other,100798,85.49,2.62,5.05,Vaccination,31501.0,No,77.41,1194.0,2.11,96273.0,0.61,28.38 +58977,South Korea,2022,Parkinson's Disease,Parasitic,11.81,1.11,1.21,19-35,Male,823559,52.76,3.27,3.09,Vaccination,40287.0,No,63.88,550.0,3.86,29219.0,0.86,38.32 +58979,USA,2000,Measles,Viral,5.56,9.78,5.16,19-35,Female,735105,76.84,4.6,8.03,Therapy,45743.0,No,51.03,3095.0,8.94,68632.0,0.61,67.76 +58980,Brazil,2020,Cholera,Bacterial,14.3,4.23,7.47,0-18,Female,646639,87.8,3.27,5.72,Therapy,27184.0,Yes,73.21,4006.0,7.94,75284.0,0.85,31.87 +58984,Turkey,2021,Parkinson's Disease,Respiratory,11.11,7.12,5.71,0-18,Male,365503,60.65,0.66,8.72,Medication,25389.0,No,87.52,212.0,2.29,10597.0,0.83,44.66 +58987,Australia,2010,Alzheimer's Disease,Respiratory,13.98,7.18,6.06,0-18,Male,813762,76.87,4.0,9.57,Medication,3335.0,Yes,57.57,2937.0,3.48,65049.0,0.46,55.43 +58994,South Korea,2009,Parkinson's Disease,Respiratory,4.1,6.84,7.89,19-35,Other,220791,66.37,3.11,2.41,Surgery,4849.0,No,82.66,2835.0,3.36,37434.0,0.41,32.14 +58999,Germany,2018,Alzheimer's Disease,Parasitic,15.94,5.86,1.47,36-60,Other,441664,96.45,1.39,9.73,Vaccination,28277.0,Yes,76.6,3082.0,1.49,40359.0,0.83,73.07 +59015,Russia,2003,Ebola,Bacterial,12.61,7.71,8.02,19-35,Female,832214,87.39,0.62,5.7,Surgery,39756.0,No,60.44,4943.0,6.49,92648.0,0.67,53.29 +59026,Argentina,2018,Alzheimer's Disease,Bacterial,11.21,5.17,0.77,19-35,Male,171137,69.68,3.67,4.3,Therapy,25735.0,No,94.56,3745.0,3.21,66223.0,0.75,33.44 +59029,Brazil,2008,Ebola,Chronic,10.44,2.22,1.34,36-60,Other,7726,84.54,4.36,8.05,Medication,44196.0,Yes,51.66,4882.0,8.06,12255.0,0.5,45.49 +59045,India,2021,Zika,Cardiovascular,14.02,1.25,6.76,0-18,Female,758005,66.41,1.64,3.78,Medication,22500.0,No,56.33,4229.0,5.82,54525.0,0.77,78.79 +59049,Germany,2005,COVID-19,Chronic,9.47,2.62,7.71,61+,Male,26174,58.42,1.43,0.77,Therapy,19518.0,No,82.3,4851.0,7.08,26084.0,0.55,36.83 +59059,Saudi Arabia,2007,Zika,Genetic,11.8,9.89,9.08,61+,Male,565136,82.59,3.62,1.73,Therapy,49828.0,No,75.71,4583.0,0.86,94774.0,0.85,23.57 +59064,South Africa,2011,Cancer,Chronic,15.83,9.2,3.11,36-60,Other,212551,56.46,1.81,9.12,Medication,31788.0,No,61.47,4862.0,1.74,41099.0,0.5,41.44 +59065,Canada,2011,Hepatitis,Genetic,8.09,8.86,6.75,19-35,Female,336670,63.16,2.23,3.3,Therapy,28344.0,No,97.63,2471.0,3.61,42381.0,0.47,71.34 +59076,Indonesia,2004,Hepatitis,Genetic,5.92,12.66,0.98,19-35,Other,313998,98.56,2.86,2.66,Medication,21723.0,No,67.28,3863.0,2.77,89880.0,0.7,35.76 +59082,UK,2018,Dengue,Viral,14.65,5.46,2.3,19-35,Female,781669,58.91,1.34,1.21,Surgery,31972.0,Yes,72.07,4529.0,0.73,95261.0,0.58,54.81 +59084,Germany,2006,Diabetes,Infectious,12.57,11.32,6.95,0-18,Other,729223,51.47,1.97,6.28,Therapy,33217.0,No,92.29,1492.0,1.94,79750.0,0.48,28.54 +59085,South Africa,2016,Cholera,Autoimmune,13.81,8.06,8.11,19-35,Other,354869,83.21,3.78,2.43,Medication,40543.0,No,75.09,23.0,7.6,61769.0,0.85,70.38 +59087,Brazil,2016,Hepatitis,Neurological,8.54,7.5,3.79,19-35,Male,126177,62.68,4.98,2.79,Vaccination,1193.0,No,71.81,3683.0,6.45,47666.0,0.85,21.37 +59091,USA,2004,Diabetes,Metabolic,18.49,5.43,0.53,19-35,Female,229029,89.41,2.81,7.6,Medication,2578.0,No,96.56,2678.0,9.46,48186.0,0.79,73.92 +59096,Japan,2002,Rabies,Respiratory,0.42,9.08,4.17,36-60,Male,824169,97.9,3.1,3.16,Medication,33274.0,Yes,86.02,98.0,1.56,26556.0,0.7,70.11 +59106,Australia,2003,Malaria,Genetic,16.3,11.62,7.21,61+,Male,873951,69.17,3.94,5.7,Surgery,35305.0,Yes,57.48,763.0,0.3,60055.0,0.68,58.58 +59113,Argentina,2005,Polio,Cardiovascular,0.29,12.43,4.55,19-35,Other,17656,92.88,4.07,7.38,Vaccination,24540.0,Yes,66.36,4562.0,9.26,58505.0,0.63,71.94 +59116,Turkey,2021,Rabies,Autoimmune,2.16,13.52,2.62,61+,Female,247603,62.69,1.24,7.12,Vaccination,6472.0,Yes,73.58,3723.0,4.32,95841.0,0.86,24.93 +59123,Turkey,2001,COVID-19,Chronic,15.55,8.88,4.01,19-35,Female,267966,57.93,0.74,5.72,Medication,12005.0,No,63.59,591.0,7.75,51154.0,0.53,71.83 +59126,Germany,2016,Measles,Viral,5.79,6.89,0.88,61+,Male,732577,81.17,2.84,9.81,Vaccination,17889.0,No,90.03,2937.0,1.54,21218.0,0.49,35.51 +59129,South Africa,2010,Leprosy,Infectious,7.29,8.03,1.67,36-60,Other,971446,86.97,1.03,6.82,Surgery,2664.0,Yes,68.43,2166.0,9.51,42199.0,0.46,77.02 +59149,France,2001,Tuberculosis,Genetic,1.17,6.85,1.97,19-35,Male,213341,55.58,4.82,1.25,Therapy,33056.0,No,89.73,4772.0,0.06,80369.0,0.53,74.19 +59150,Mexico,2021,Hypertension,Genetic,8.9,4.06,1.59,36-60,Other,226179,87.25,0.67,1.89,Therapy,41313.0,No,92.36,4309.0,6.8,20236.0,0.43,65.67 +59152,Australia,2013,Asthma,Cardiovascular,17.31,0.76,4.11,19-35,Female,468322,86.91,2.32,4.61,Surgery,19532.0,Yes,57.4,4313.0,0.92,15412.0,0.43,60.08 +59154,South Africa,2009,Zika,Parasitic,10.84,7.3,8.92,0-18,Female,483812,60.2,1.42,8.38,Surgery,32037.0,No,50.23,3388.0,7.48,48398.0,0.8,73.34 +59163,UK,2017,Rabies,Cardiovascular,14.88,14.13,4.42,0-18,Other,35202,90.43,4.77,1.88,Therapy,7954.0,Yes,67.77,45.0,8.05,42108.0,0.76,28.94 +59167,Mexico,2011,Measles,Bacterial,2.05,7.97,2.51,36-60,Female,941614,82.81,1.01,3.19,Surgery,4884.0,Yes,74.04,1304.0,8.56,88236.0,0.81,35.59 +59169,South Korea,2018,Hepatitis,Autoimmune,14.86,6.82,4.57,0-18,Female,17320,68.61,4.18,4.67,Surgery,9387.0,No,51.94,3679.0,5.92,84148.0,0.57,23.31 +59171,UK,2022,Cholera,Genetic,6.28,12.89,0.52,36-60,Male,350262,59.23,1.81,4.8,Vaccination,36210.0,No,76.45,1211.0,7.17,11200.0,0.45,51.68 +59173,Germany,2016,Polio,Genetic,1.02,13.8,1.54,61+,Other,654976,77.55,0.58,8.93,Vaccination,8358.0,No,51.39,1597.0,1.9,49005.0,0.67,60.56 +59175,Australia,2005,Hypertension,Respiratory,12.95,8.47,1.84,36-60,Female,517534,57.51,2.71,4.84,Therapy,32176.0,Yes,86.64,872.0,2.52,18910.0,0.79,58.28 +59176,South Africa,2000,Zika,Viral,1.53,8.85,2.65,19-35,Male,708568,93.42,3.29,8.36,Vaccination,33230.0,Yes,61.0,1638.0,4.59,6002.0,0.61,23.09 +59183,France,2022,Malaria,Neurological,14.53,14.52,9.52,61+,Other,252872,62.3,2.97,7.97,Medication,25806.0,No,74.22,2756.0,6.26,63210.0,0.67,35.89 +59184,Russia,2014,Hypertension,Bacterial,15.26,5.15,2.43,19-35,Female,799112,78.28,3.55,3.9,Surgery,42020.0,No,81.01,1046.0,8.79,46673.0,0.56,57.14 +59185,South Korea,2006,Ebola,Neurological,13.68,4.96,9.34,19-35,Other,761173,87.59,3.58,0.8,Surgery,34431.0,Yes,56.11,2053.0,9.64,22781.0,0.63,33.77 +59188,Italy,2006,Dengue,Metabolic,7.64,14.26,9.13,36-60,Other,420301,90.92,4.32,6.66,Medication,31610.0,No,73.3,1665.0,2.46,73716.0,0.84,51.05 +59193,Argentina,2011,Tuberculosis,Bacterial,19.07,6.45,9.6,0-18,Male,11270,67.64,2.95,4.03,Surgery,13141.0,Yes,65.46,4086.0,4.64,35064.0,0.89,59.64 +59194,South Korea,2016,Tuberculosis,Parasitic,12.59,6.62,8.41,0-18,Male,937729,59.76,1.92,5.05,Medication,38475.0,Yes,57.77,1996.0,4.27,76643.0,0.56,40.58 +59195,Germany,2019,Measles,Neurological,7.92,4.84,2.71,36-60,Female,174177,62.5,4.7,7.69,Medication,14509.0,Yes,79.86,4434.0,3.15,7433.0,0.87,76.4 +59199,Germany,2002,Polio,Respiratory,19.13,4.09,4.74,61+,Other,117802,52.36,2.7,9.91,Surgery,9209.0,Yes,92.6,2186.0,9.88,61594.0,0.52,36.5 +59201,Brazil,2003,Cancer,Autoimmune,17.05,9.66,3.53,36-60,Other,776461,71.7,2.82,7.18,Vaccination,17837.0,No,96.58,3246.0,6.31,3066.0,0.65,31.31 +59207,South Korea,2012,Hypertension,Metabolic,5.91,7.21,9.05,19-35,Other,368815,95.45,2.36,3.59,Therapy,5146.0,Yes,77.93,678.0,5.1,63390.0,0.82,85.78 +59209,Brazil,2012,Zika,Viral,14.32,12.11,7.52,19-35,Female,240109,53.87,3.07,5.66,Medication,36913.0,Yes,58.44,4006.0,8.35,48469.0,0.87,73.67 +59211,UK,2009,Influenza,Neurological,4.01,13.36,2.75,61+,Other,79456,98.97,2.43,6.31,Medication,28733.0,No,97.12,4251.0,2.53,27171.0,0.74,32.81 +59216,South Korea,2013,COVID-19,Infectious,8.53,4.65,6.31,0-18,Male,276885,73.06,1.15,6.7,Therapy,11149.0,No,83.59,3363.0,7.62,83321.0,0.84,43.22 +59218,South Africa,2015,Zika,Respiratory,14.99,10.48,3.15,61+,Other,594929,80.11,1.81,3.52,Vaccination,28462.0,Yes,59.14,3834.0,0.59,44815.0,0.48,66.72 +59220,Indonesia,2018,Parkinson's Disease,Infectious,3.38,9.17,6.31,19-35,Female,133627,77.42,0.73,3.23,Vaccination,15639.0,No,61.87,2728.0,5.31,48995.0,0.57,66.31 +59225,Turkey,2024,HIV/AIDS,Bacterial,8.15,8.05,0.91,61+,Female,135947,84.62,4.17,9.39,Surgery,6050.0,No,79.55,1381.0,6.7,41870.0,0.87,48.24 +59232,South Africa,2007,HIV/AIDS,Viral,3.3,9.56,3.04,0-18,Male,459474,89.13,2.82,1.94,Vaccination,46024.0,Yes,86.84,3781.0,8.1,42289.0,0.43,74.81 +59235,Mexico,2022,Rabies,Chronic,12.94,6.7,9.54,36-60,Other,528618,64.9,4.39,6.05,Surgery,21942.0,No,59.37,3451.0,7.7,59519.0,0.66,20.59 +59242,India,2022,Zika,Metabolic,10.2,5.42,3.96,0-18,Other,890873,51.89,1.7,9.48,Surgery,15559.0,No,92.25,3389.0,3.59,4243.0,0.69,69.69 +59244,South Korea,2020,HIV/AIDS,Bacterial,7.15,5.11,5.63,61+,Other,521773,53.56,4.72,9.03,Medication,46427.0,No,61.75,422.0,8.27,37982.0,0.68,59.04 +59274,Russia,2018,Tuberculosis,Bacterial,16.45,3.27,4.46,61+,Female,225966,84.43,0.57,7.17,Medication,763.0,Yes,90.33,2484.0,2.23,21365.0,0.69,55.39 +59277,USA,2003,Tuberculosis,Cardiovascular,7.44,2.11,7.89,61+,Male,848192,91.92,3.05,4.96,Surgery,48284.0,Yes,92.83,3172.0,6.99,65611.0,0.62,28.6 +59281,Germany,2003,Influenza,Infectious,0.49,2.87,1.74,19-35,Male,582187,82.97,4.88,1.1,Vaccination,17685.0,No,96.29,1945.0,7.88,14288.0,0.67,60.96 +59288,South Africa,2005,Asthma,Respiratory,8.05,6.11,2.93,36-60,Female,467462,92.35,0.77,1.11,Therapy,30944.0,Yes,94.68,3112.0,8.23,29392.0,0.46,66.02 +59309,Mexico,2017,Rabies,Cardiovascular,0.43,14.62,0.43,19-35,Female,188116,82.44,4.96,9.27,Therapy,24987.0,No,59.43,2996.0,4.79,51797.0,0.81,55.07 +59315,France,2022,Cancer,Bacterial,2.76,3.06,7.05,19-35,Other,11483,69.82,1.07,8.5,Surgery,30568.0,No,64.7,689.0,9.46,68967.0,0.7,22.39 +59317,South Korea,2020,Polio,Metabolic,9.99,3.2,1.06,36-60,Male,209315,70.41,4.54,4.7,Surgery,1536.0,Yes,77.2,460.0,4.91,52928.0,0.74,84.05 +59323,Australia,2015,Rabies,Cardiovascular,4.08,2.9,8.78,19-35,Other,199781,71.03,3.93,10.0,Therapy,29383.0,No,88.32,842.0,1.71,45066.0,0.54,52.72 +59327,China,2022,Asthma,Genetic,3.18,4.98,7.83,19-35,Male,931142,62.09,2.52,7.33,Surgery,31522.0,Yes,89.03,2599.0,9.07,45632.0,0.84,30.05 +59331,India,2018,COVID-19,Chronic,5.06,13.6,2.53,0-18,Other,294619,81.5,1.5,9.81,Medication,17107.0,No,62.87,2637.0,7.86,47117.0,0.4,26.7 +59339,UK,2008,Parkinson's Disease,Bacterial,14.16,9.8,5.37,0-18,Female,921651,68.72,2.1,0.69,Surgery,42322.0,No,76.25,2112.0,3.12,83431.0,0.89,83.45 +59341,China,2018,Cholera,Respiratory,18.06,5.09,1.8,0-18,Female,433670,90.53,2.35,5.1,Surgery,31248.0,Yes,92.67,4879.0,5.02,8428.0,0.89,63.04 +59349,UK,2003,Dengue,Neurological,15.42,5.42,2.58,36-60,Male,78529,64.03,1.37,1.41,Medication,31423.0,No,51.84,3448.0,9.54,1727.0,0.47,35.91 +59357,USA,2013,Cholera,Genetic,1.11,6.52,8.1,61+,Male,649413,94.96,4.4,1.15,Vaccination,18451.0,No,67.36,3749.0,7.59,5089.0,0.73,81.41 +59358,Australia,2011,Cancer,Parasitic,3.4,12.1,2.36,36-60,Female,259246,86.15,2.33,1.43,Medication,41469.0,Yes,72.84,4632.0,9.26,61550.0,0.44,44.09 +59360,Argentina,2019,Parkinson's Disease,Metabolic,14.86,6.05,3.75,19-35,Other,872580,72.25,2.06,6.77,Medication,35168.0,Yes,98.64,4685.0,6.65,90469.0,0.41,73.45 +59361,Canada,2024,Influenza,Bacterial,8.38,6.02,1.26,0-18,Male,803051,85.33,2.71,7.63,Surgery,35264.0,No,66.68,4012.0,8.35,9427.0,0.52,58.7 +59363,Mexico,2002,Zika,Respiratory,9.54,1.74,2.35,0-18,Male,907170,61.41,1.65,1.04,Medication,46957.0,Yes,58.32,2739.0,3.76,9410.0,0.83,36.85 +59366,Germany,2002,Dengue,Metabolic,5.93,4.01,7.96,61+,Other,375811,54.13,4.4,5.07,Medication,37901.0,Yes,78.08,4767.0,6.67,2646.0,0.7,47.21 +59374,Indonesia,2007,COVID-19,Genetic,5.43,11.04,1.28,0-18,Other,550958,56.92,4.18,4.9,Therapy,38199.0,No,73.15,1653.0,7.79,13942.0,0.76,65.67 +59381,Mexico,2019,Rabies,Chronic,5.16,11.0,0.81,19-35,Male,640614,68.83,3.93,5.68,Vaccination,42917.0,Yes,57.95,3059.0,9.14,78854.0,0.75,79.6 +59382,South Korea,2012,Cancer,Chronic,13.53,11.23,9.43,0-18,Male,854268,79.0,0.99,4.78,Therapy,18496.0,Yes,66.72,620.0,7.93,11894.0,0.8,82.83 +59393,France,2017,Parkinson's Disease,Infectious,3.62,14.84,5.97,36-60,Other,532300,70.76,3.42,8.3,Medication,38509.0,Yes,66.32,3411.0,2.35,7061.0,0.82,58.09 +59394,UK,2017,Hypertension,Genetic,2.53,9.01,0.94,61+,Female,354697,94.87,0.94,4.3,Therapy,45335.0,No,66.62,3075.0,3.19,25074.0,0.42,41.17 +59398,South Africa,2001,Hypertension,Respiratory,14.54,7.5,8.27,36-60,Female,795191,98.37,3.08,1.44,Therapy,44652.0,No,86.66,3108.0,8.41,40382.0,0.7,44.01 +59412,South Korea,2022,Measles,Bacterial,14.16,3.37,3.44,61+,Other,635104,71.44,2.01,4.14,Vaccination,48146.0,Yes,89.43,3110.0,4.89,78782.0,0.5,59.49 +59422,Japan,2016,Hypertension,Cardiovascular,4.52,12.01,0.13,0-18,Female,586801,96.99,1.66,4.47,Medication,2403.0,Yes,70.5,1653.0,9.08,85911.0,0.6,59.48 +59430,UK,2019,Influenza,Chronic,16.08,8.44,0.15,19-35,Female,815657,63.01,1.29,2.9,Therapy,7507.0,Yes,71.03,892.0,8.03,17595.0,0.47,49.86 +59436,UK,2004,Cancer,Parasitic,3.38,7.51,1.93,19-35,Other,615035,63.02,2.26,6.5,Medication,44890.0,No,79.18,441.0,3.18,88432.0,0.57,66.52 +59438,Indonesia,2010,Parkinson's Disease,Neurological,1.51,7.95,5.47,0-18,Other,417484,76.76,1.2,0.88,Therapy,21417.0,No,71.08,2146.0,2.08,41478.0,0.47,24.4 +59439,China,2021,HIV/AIDS,Viral,10.29,11.72,6.41,61+,Other,70734,94.2,3.28,2.94,Medication,43205.0,Yes,95.88,1414.0,0.23,41318.0,0.57,50.49 +59442,France,2011,Alzheimer's Disease,Chronic,19.24,8.98,1.04,36-60,Female,588822,99.67,3.71,1.3,Vaccination,13659.0,No,70.39,2287.0,2.4,17476.0,0.51,75.33 +59445,USA,2011,Diabetes,Metabolic,6.39,9.15,1.13,19-35,Female,62917,56.85,0.84,5.95,Medication,16899.0,Yes,61.71,1485.0,3.73,16728.0,0.7,68.62 +59446,Russia,2023,Parkinson's Disease,Neurological,11.61,7.09,7.33,0-18,Other,765350,90.7,4.6,9.91,Therapy,27217.0,Yes,52.87,4749.0,1.36,85948.0,0.65,31.56 +59450,USA,2016,Ebola,Respiratory,0.84,8.69,7.86,0-18,Other,364549,72.68,2.72,1.4,Medication,46161.0,No,54.18,4180.0,4.16,38941.0,0.82,74.45 +59455,Germany,2007,Hypertension,Metabolic,12.15,3.94,3.01,61+,Female,640600,56.01,1.9,4.03,Medication,9499.0,No,79.67,3556.0,8.48,98507.0,0.71,43.31 +59460,Turkey,2024,Parkinson's Disease,Chronic,0.14,2.38,5.46,0-18,Female,303268,95.82,4.17,4.58,Therapy,15377.0,Yes,52.98,4593.0,9.22,70494.0,0.54,63.12 +59464,Italy,2014,Influenza,Viral,15.24,14.0,5.38,0-18,Male,90851,89.52,2.66,1.44,Surgery,45231.0,Yes,57.19,3106.0,3.04,540.0,0.6,22.5 +59466,Turkey,2023,Rabies,Respiratory,10.44,12.63,1.38,36-60,Male,819977,71.7,3.04,3.02,Therapy,2089.0,Yes,88.36,4360.0,2.2,15383.0,0.63,77.93 +59477,UK,2017,Parkinson's Disease,Autoimmune,12.2,11.21,9.33,36-60,Other,494600,84.09,0.55,8.38,Vaccination,40962.0,Yes,60.87,857.0,2.35,51557.0,0.45,44.74 +59482,China,2016,Measles,Neurological,12.96,0.88,1.77,61+,Female,461860,85.78,2.69,8.41,Therapy,49015.0,No,75.03,3407.0,3.07,88263.0,0.64,80.96 +59484,Italy,2013,COVID-19,Genetic,15.64,11.58,4.03,0-18,Other,505812,64.98,3.93,4.18,Surgery,8813.0,Yes,74.7,220.0,1.98,35996.0,0.66,28.0 +59488,South Africa,2019,Diabetes,Neurological,14.83,12.57,1.99,36-60,Female,375989,95.43,1.22,6.24,Vaccination,8066.0,No,87.87,4412.0,0.99,79159.0,0.81,67.79 +59490,Turkey,2023,Cholera,Infectious,10.23,14.47,1.6,36-60,Male,306220,79.41,0.99,0.87,Vaccination,39965.0,Yes,94.81,1916.0,2.22,5600.0,0.47,47.79 +59493,Japan,2009,Parkinson's Disease,Genetic,1.29,1.46,2.4,61+,Female,178222,66.29,4.24,1.95,Medication,26234.0,No,62.9,906.0,6.51,73722.0,0.75,78.31 +59499,Indonesia,2007,Hepatitis,Viral,2.71,0.97,4.81,0-18,Male,697559,94.05,4.63,2.9,Therapy,22806.0,Yes,74.28,3270.0,1.6,99208.0,0.53,77.94 +59500,South Africa,2012,Leprosy,Viral,18.0,13.68,7.8,36-60,Female,541585,55.82,1.26,4.59,Surgery,41556.0,No,74.85,2435.0,2.07,11007.0,0.43,25.52 +59503,India,2016,Malaria,Genetic,9.88,2.91,7.97,0-18,Female,258666,83.86,3.26,3.97,Vaccination,39725.0,Yes,50.84,1923.0,7.97,28668.0,0.87,73.54 +59506,China,2006,Hepatitis,Viral,1.27,1.54,8.11,19-35,Female,893444,59.56,2.89,8.66,Surgery,8008.0,No,64.2,270.0,3.45,36140.0,0.88,37.09 +59513,Brazil,2005,Dengue,Parasitic,4.61,8.47,9.93,36-60,Female,729068,58.52,0.52,9.63,Medication,48038.0,Yes,53.63,3803.0,0.93,89710.0,0.57,69.9 +59516,Germany,2003,Hypertension,Chronic,4.82,7.64,8.38,19-35,Other,313813,86.64,3.06,5.25,Medication,158.0,Yes,78.56,336.0,1.07,12235.0,0.48,74.58 +59517,Canada,2013,HIV/AIDS,Viral,12.39,6.31,4.46,0-18,Other,946407,62.32,2.44,8.35,Medication,29959.0,Yes,95.69,1281.0,4.93,15006.0,0.85,67.57 +59530,Argentina,2010,Zika,Chronic,10.05,8.04,7.3,19-35,Male,870857,99.15,4.89,1.69,Surgery,11910.0,No,62.27,688.0,5.82,34282.0,0.61,83.45 +59532,Turkey,2005,Asthma,Viral,12.94,5.17,9.04,61+,Other,266728,88.19,1.06,6.85,Vaccination,5318.0,Yes,95.21,2722.0,3.17,63657.0,0.57,62.46 +59538,Mexico,2003,Parkinson's Disease,Viral,3.61,6.55,7.15,61+,Other,737069,50.52,3.37,6.48,Surgery,16626.0,Yes,55.33,4014.0,4.08,39696.0,0.45,36.12 +59540,Mexico,2003,Ebola,Viral,16.05,4.39,4.49,0-18,Other,574428,71.58,4.1,2.04,Medication,35437.0,Yes,84.79,3116.0,7.59,71444.0,0.45,51.19 +59547,Nigeria,2022,COVID-19,Bacterial,10.11,10.9,6.78,0-18,Female,173106,83.2,1.88,8.94,Vaccination,877.0,Yes,58.73,3768.0,3.58,51476.0,0.77,87.8 +59549,Australia,2019,HIV/AIDS,Respiratory,3.99,2.32,1.57,0-18,Other,449906,93.66,4.31,1.09,Surgery,34367.0,Yes,54.91,1773.0,3.9,42051.0,0.54,84.78 +59558,China,2011,Hepatitis,Infectious,2.62,3.86,8.89,19-35,Male,203553,54.36,4.49,8.94,Therapy,501.0,No,63.93,2154.0,2.62,7531.0,0.84,21.83 +59561,UK,2003,Leprosy,Respiratory,8.57,13.54,1.23,36-60,Other,739302,62.44,1.77,9.08,Vaccination,46216.0,Yes,88.27,2647.0,6.45,62086.0,0.84,77.3 +59568,Indonesia,2002,Hypertension,Respiratory,3.77,12.5,1.29,0-18,Male,227164,92.4,1.57,1.24,Vaccination,14210.0,Yes,65.1,1853.0,1.72,64105.0,0.6,38.78 +59569,Nigeria,2001,Diabetes,Genetic,13.96,4.57,6.93,61+,Other,797483,61.73,2.15,8.49,Therapy,12017.0,Yes,96.02,3191.0,9.92,25309.0,0.86,73.7 +59571,Turkey,2003,Dengue,Metabolic,15.17,7.82,5.05,36-60,Female,707211,99.6,2.11,0.95,Vaccination,22562.0,No,98.13,2623.0,2.08,90947.0,0.57,41.36 +59578,Japan,2000,Parkinson's Disease,Genetic,17.28,0.55,9.1,61+,Male,281687,78.32,0.89,2.83,Therapy,46837.0,Yes,89.91,3973.0,6.97,23096.0,0.55,28.69 +59583,India,2007,Leprosy,Metabolic,9.07,6.3,1.66,36-60,Male,261196,52.74,4.99,7.36,Medication,40067.0,No,56.2,4842.0,0.29,97231.0,0.9,36.58 +59585,South Africa,2011,Influenza,Viral,8.78,10.11,7.92,61+,Male,362763,81.43,3.63,2.82,Medication,1025.0,No,65.02,259.0,7.19,6422.0,0.81,33.4 +59588,South Africa,2018,COVID-19,Parasitic,9.51,14.19,2.93,19-35,Male,816918,63.35,3.9,5.63,Surgery,16032.0,Yes,89.08,3299.0,6.57,38901.0,0.53,29.36 +59606,USA,2018,Hypertension,Infectious,14.28,12.62,1.04,19-35,Female,160760,61.52,4.92,5.5,Therapy,11290.0,Yes,62.41,3921.0,3.22,28918.0,0.44,34.07 +59609,Argentina,2005,Polio,Metabolic,4.87,0.63,2.28,0-18,Male,608124,74.93,1.4,2.06,Medication,11769.0,Yes,64.28,1467.0,9.13,32850.0,0.57,66.83 +59610,Italy,2018,Dengue,Autoimmune,2.07,1.62,6.11,36-60,Female,286799,97.66,1.22,4.66,Therapy,22658.0,No,60.32,454.0,9.38,30198.0,0.6,28.18 +59628,Germany,2007,COVID-19,Genetic,13.57,11.68,7.52,61+,Female,83050,79.66,3.47,7.4,Vaccination,40132.0,Yes,65.59,2788.0,8.24,24245.0,0.44,28.52 +59643,Saudi Arabia,2010,Measles,Respiratory,18.93,4.77,3.46,19-35,Other,399405,85.43,2.0,0.71,Therapy,32475.0,Yes,83.03,2749.0,4.4,66624.0,0.43,38.71 +59653,France,2002,Influenza,Infectious,8.55,14.96,1.43,0-18,Male,481112,64.51,1.49,8.66,Therapy,48207.0,No,54.91,1381.0,3.48,75842.0,0.52,80.02 +59656,Germany,2006,Zika,Cardiovascular,7.83,5.33,7.2,0-18,Other,154738,58.34,4.4,3.27,Therapy,42000.0,No,58.27,4511.0,8.8,53799.0,0.5,36.93 +59657,South Korea,2001,HIV/AIDS,Cardiovascular,18.45,14.78,6.08,0-18,Other,574911,54.29,3.61,1.83,Therapy,1137.0,Yes,85.87,4781.0,3.77,16103.0,0.87,86.73 +59659,South Korea,2002,Influenza,Metabolic,2.55,13.99,1.69,36-60,Male,733651,65.99,1.33,9.21,Vaccination,49000.0,No,64.66,2248.0,7.17,92318.0,0.54,38.64 +59660,Brazil,2000,Zika,Chronic,17.65,3.48,9.06,36-60,Female,16188,76.67,1.31,2.3,Vaccination,26145.0,No,51.44,1678.0,8.39,89630.0,0.47,83.56 +59666,Argentina,2021,Zika,Bacterial,9.69,14.0,4.52,19-35,Other,734156,67.45,3.19,1.22,Medication,15073.0,Yes,75.04,3684.0,4.78,37036.0,0.82,77.86 +59670,Turkey,2017,Measles,Neurological,14.97,4.62,8.39,36-60,Male,931467,53.69,1.7,2.76,Surgery,5423.0,No,94.26,4706.0,2.42,74963.0,0.68,39.72 +59673,USA,2016,Rabies,Respiratory,2.72,14.31,1.16,19-35,Male,765130,56.55,2.09,8.37,Medication,40804.0,No,60.69,108.0,6.49,11920.0,0.44,87.86 +59681,China,2022,Ebola,Metabolic,16.97,10.31,5.41,36-60,Female,396611,60.44,3.59,7.7,Medication,4749.0,No,56.21,1052.0,3.65,77831.0,0.62,30.78 +59682,USA,2014,Ebola,Neurological,0.82,6.54,7.05,0-18,Male,718957,86.2,2.9,4.72,Therapy,8056.0,Yes,52.74,3308.0,8.75,25601.0,0.52,30.65 +59684,Indonesia,2004,Leprosy,Autoimmune,13.0,0.46,9.78,0-18,Male,755442,73.89,4.22,2.81,Medication,30656.0,No,95.18,187.0,0.72,55699.0,0.83,29.02 +59688,Brazil,2003,Malaria,Bacterial,18.82,2.42,2.16,0-18,Female,600853,90.13,1.82,2.15,Therapy,5157.0,No,70.27,1237.0,1.91,47845.0,0.55,23.86 +59689,Argentina,2012,Diabetes,Respiratory,3.62,11.62,1.07,0-18,Other,79468,55.86,3.35,5.26,Vaccination,37504.0,No,50.99,4821.0,5.68,49186.0,0.84,28.21 +59693,Turkey,2020,COVID-19,Respiratory,8.36,6.09,1.26,61+,Male,870812,82.85,0.56,4.01,Surgery,41277.0,Yes,64.78,1583.0,5.4,88546.0,0.7,75.03 +59695,Canada,2015,Rabies,Neurological,9.09,8.02,0.36,61+,Male,85895,54.39,4.07,4.84,Medication,16957.0,No,92.95,4351.0,0.27,55908.0,0.5,52.36 +59701,South Korea,2006,Influenza,Respiratory,1.41,5.12,9.64,19-35,Male,800236,70.33,4.98,5.45,Vaccination,2695.0,Yes,55.99,2138.0,9.2,59934.0,0.59,81.49 +59703,Indonesia,2022,Parkinson's Disease,Infectious,10.11,6.1,7.49,19-35,Female,740883,94.67,2.8,1.64,Vaccination,14512.0,Yes,65.94,1875.0,9.81,32567.0,0.87,39.88 +59705,Brazil,2011,HIV/AIDS,Parasitic,8.63,3.78,3.4,61+,Male,738416,64.32,1.6,0.88,Vaccination,7635.0,Yes,62.25,3031.0,9.3,55531.0,0.76,25.76 +59706,USA,2023,Hepatitis,Metabolic,17.44,12.35,5.36,61+,Female,424430,86.95,4.11,5.68,Medication,6188.0,Yes,88.57,1048.0,1.07,4886.0,0.47,69.37 +59709,Indonesia,2001,Malaria,Genetic,4.38,0.51,1.0,61+,Other,575471,62.65,3.17,6.05,Therapy,17240.0,Yes,71.46,1442.0,7.79,44740.0,0.86,41.23 +59711,Mexico,2015,Malaria,Neurological,0.35,6.73,8.78,61+,Female,777739,72.27,0.59,1.67,Vaccination,2432.0,Yes,61.43,3237.0,5.93,91471.0,0.52,21.01 +59714,Japan,2011,Alzheimer's Disease,Viral,9.76,11.84,3.37,19-35,Female,356570,59.09,0.86,8.17,Medication,17843.0,Yes,52.87,4860.0,8.89,18708.0,0.51,78.98 +59724,Germany,2007,Polio,Neurological,2.01,9.0,4.84,36-60,Other,600643,50.13,4.38,4.43,Surgery,47609.0,No,95.99,955.0,5.59,19133.0,0.49,53.19 +59725,Saudi Arabia,2003,Dengue,Parasitic,6.5,7.16,7.18,0-18,Male,750416,53.34,3.93,3.78,Therapy,33283.0,Yes,92.51,2516.0,8.27,22365.0,0.54,52.5 +59726,Russia,2021,Alzheimer's Disease,Autoimmune,12.05,6.68,1.87,19-35,Female,479013,61.96,2.64,6.33,Medication,33425.0,No,53.99,2213.0,4.95,86571.0,0.61,58.35 +59736,Germany,2023,Parkinson's Disease,Respiratory,2.97,3.56,2.34,0-18,Other,828463,54.73,4.73,7.65,Surgery,3773.0,Yes,74.21,4649.0,8.89,79457.0,0.53,58.82 +59744,Mexico,2019,Measles,Viral,11.26,4.79,1.92,36-60,Other,601657,85.84,3.74,9.92,Medication,13233.0,Yes,71.33,3519.0,8.91,71558.0,0.4,66.53 +59754,Canada,2017,Malaria,Respiratory,17.55,12.18,9.71,61+,Female,987814,82.3,4.7,7.33,Surgery,26412.0,Yes,95.47,3406.0,1.14,76063.0,0.43,36.36 +59757,Turkey,2010,Rabies,Parasitic,12.35,12.52,7.63,0-18,Female,328200,74.0,0.59,4.81,Vaccination,28248.0,Yes,81.98,4573.0,8.21,72541.0,0.8,67.84 +59769,China,2003,COVID-19,Genetic,1.31,14.27,8.88,61+,Male,226280,77.44,0.83,5.92,Medication,1945.0,Yes,78.53,4519.0,1.15,15586.0,0.85,48.56 +59773,Turkey,2012,Dengue,Autoimmune,1.03,13.98,3.94,0-18,Male,131181,62.03,2.0,1.51,Vaccination,8661.0,No,98.49,319.0,6.51,32325.0,0.45,52.13 +59777,Japan,2014,Alzheimer's Disease,Infectious,16.72,7.54,9.8,61+,Male,84894,64.82,1.65,5.74,Medication,5421.0,No,98.73,1104.0,5.52,60409.0,0.8,24.8 +59780,UK,2022,Rabies,Genetic,19.11,9.23,9.69,61+,Other,922481,76.58,3.73,3.85,Surgery,4553.0,No,54.51,4022.0,0.62,85382.0,0.67,39.98 +59782,Japan,2018,COVID-19,Bacterial,6.17,12.31,9.69,36-60,Male,575735,92.11,1.62,9.74,Therapy,49006.0,Yes,57.53,2797.0,1.72,9515.0,0.47,54.5 +59792,UK,2014,Malaria,Neurological,4.95,11.83,3.6,36-60,Female,896722,92.8,2.36,5.5,Vaccination,9992.0,No,55.66,2507.0,3.25,83884.0,0.42,34.25 +59795,France,2024,Hypertension,Autoimmune,16.27,10.16,7.45,36-60,Other,723681,88.95,1.99,2.9,Therapy,43474.0,Yes,88.87,1153.0,2.78,2277.0,0.49,75.36 +59796,Indonesia,2008,Parkinson's Disease,Infectious,11.12,8.01,2.47,19-35,Female,142187,73.84,4.74,8.44,Surgery,32014.0,Yes,74.41,2169.0,2.76,42107.0,0.6,51.42 +59808,Australia,2020,Dengue,Genetic,3.05,8.07,8.93,61+,Male,303449,59.55,1.64,6.54,Vaccination,30081.0,No,51.25,4754.0,9.0,96659.0,0.43,66.46 +59809,South Korea,2018,Leprosy,Neurological,5.34,7.18,2.49,19-35,Male,854814,89.15,4.64,2.81,Medication,26920.0,Yes,82.66,957.0,8.12,97744.0,0.72,35.86 +59813,USA,2020,Measles,Respiratory,2.76,8.54,9.66,0-18,Male,135108,77.67,3.48,6.86,Surgery,20666.0,Yes,53.07,297.0,3.42,35241.0,0.72,74.59 +59818,Australia,2000,Tuberculosis,Genetic,17.9,4.73,4.82,19-35,Female,353811,73.8,1.14,8.4,Vaccination,41017.0,No,78.56,4598.0,8.79,4577.0,0.75,73.88 +59820,Mexico,2004,Polio,Chronic,13.14,12.68,3.19,0-18,Other,36192,81.71,2.4,3.56,Medication,14098.0,Yes,90.74,141.0,5.3,77197.0,0.79,63.66 +59821,Italy,2009,Dengue,Autoimmune,16.19,10.35,6.25,36-60,Male,59749,59.19,1.45,8.34,Medication,10877.0,Yes,98.24,850.0,3.43,91724.0,0.5,45.66 +59825,Australia,2021,Cholera,Genetic,5.78,4.93,9.81,19-35,Female,871733,65.08,0.67,4.99,Therapy,15872.0,No,54.99,1803.0,0.05,4213.0,0.61,34.95 +59842,Turkey,2023,Alzheimer's Disease,Viral,5.2,7.39,2.91,61+,Female,792480,86.3,3.03,9.54,Medication,43125.0,Yes,80.44,2670.0,2.04,1469.0,0.64,67.25 +59846,Saudi Arabia,2022,Zika,Parasitic,7.66,12.72,0.66,19-35,Male,878480,68.3,4.42,2.32,Surgery,8959.0,No,80.16,2625.0,5.86,64950.0,0.63,35.79 +59849,Indonesia,2002,Polio,Bacterial,4.06,6.72,3.68,61+,Other,190003,82.52,2.54,8.83,Therapy,34430.0,No,56.96,4003.0,3.71,1205.0,0.77,59.0 +59850,France,2014,Measles,Autoimmune,6.42,0.77,2.35,19-35,Female,884998,55.93,4.38,7.57,Medication,15195.0,No,87.91,2504.0,4.68,99220.0,0.49,68.97 +59853,China,2010,Asthma,Respiratory,4.15,12.83,5.04,19-35,Male,925677,55.73,0.5,4.3,Vaccination,6421.0,Yes,62.22,1555.0,9.23,30170.0,0.46,48.7 +59866,Japan,2013,Malaria,Metabolic,16.73,6.03,2.16,61+,Other,212262,82.45,2.68,4.55,Medication,36738.0,No,54.13,816.0,8.19,98501.0,0.43,28.6 +59871,USA,2021,COVID-19,Bacterial,7.32,0.39,6.72,0-18,Male,978836,95.43,2.16,2.1,Surgery,45889.0,No,94.78,2833.0,3.71,8310.0,0.45,85.92 +59872,Indonesia,2002,HIV/AIDS,Cardiovascular,2.34,7.7,0.62,0-18,Female,677220,54.26,1.84,4.62,Medication,29307.0,No,76.34,1758.0,0.31,87770.0,0.88,23.08 +59877,Argentina,2010,Polio,Viral,3.24,5.51,1.41,19-35,Female,225033,71.99,1.55,9.42,Surgery,30757.0,No,91.48,4088.0,9.7,27226.0,0.7,34.28 +59896,Canada,2003,Parkinson's Disease,Chronic,5.99,13.04,8.76,0-18,Other,205409,74.9,2.7,5.59,Therapy,13626.0,No,55.82,4121.0,2.61,59773.0,0.54,26.19 +59898,India,2019,Alzheimer's Disease,Respiratory,7.38,7.16,2.39,0-18,Female,928877,73.36,4.54,2.72,Surgery,28129.0,No,95.38,4438.0,0.21,61549.0,0.9,50.79 +59902,Canada,2012,Malaria,Parasitic,5.32,10.56,2.93,0-18,Female,217137,87.03,0.67,2.0,Vaccination,33983.0,Yes,58.3,2504.0,9.25,72043.0,0.45,20.32 +59905,Indonesia,2013,Cancer,Viral,16.95,6.58,9.76,36-60,Female,891849,60.36,2.96,3.79,Vaccination,9636.0,Yes,79.76,3689.0,1.19,26511.0,0.45,27.55 +59908,Australia,2001,Influenza,Parasitic,19.58,5.29,7.47,36-60,Male,523534,82.64,1.84,3.23,Surgery,27535.0,Yes,74.27,4712.0,7.3,89540.0,0.65,88.59 +59911,France,2016,Malaria,Metabolic,7.41,3.94,6.86,0-18,Male,111833,80.83,1.79,4.71,Medication,15701.0,Yes,58.39,2693.0,7.7,10228.0,0.84,65.37 +59924,Australia,2021,Asthma,Parasitic,6.21,3.13,0.48,36-60,Other,801195,61.3,3.78,7.8,Vaccination,44270.0,Yes,86.66,1169.0,0.85,83839.0,0.81,20.08 +59931,Brazil,2005,Measles,Metabolic,9.66,5.62,9.71,36-60,Male,386575,84.72,3.14,0.87,Medication,47260.0,Yes,74.91,3420.0,3.33,64306.0,0.77,57.67 +59937,Saudi Arabia,2013,Hypertension,Genetic,0.38,0.35,3.33,36-60,Female,425261,79.83,4.74,4.1,Medication,35242.0,Yes,98.04,4101.0,1.83,90564.0,0.44,52.02 +59938,Germany,2009,Asthma,Cardiovascular,11.2,7.57,2.73,0-18,Female,150460,79.2,4.44,7.14,Medication,26101.0,No,69.03,1688.0,9.51,76144.0,0.56,26.49 +59944,Italy,2007,Ebola,Bacterial,17.53,0.28,7.75,61+,Female,955704,95.75,4.76,9.64,Therapy,27840.0,Yes,52.2,1124.0,4.57,73063.0,0.51,57.56 +59948,Australia,2002,Rabies,Respiratory,10.86,7.0,7.26,61+,Other,434711,54.86,3.6,7.62,Therapy,15344.0,Yes,85.04,2518.0,4.02,66216.0,0.72,56.12 +59951,China,2020,Asthma,Infectious,17.8,3.48,6.5,19-35,Female,667799,92.68,4.62,7.56,Medication,49954.0,No,79.23,266.0,4.0,32346.0,0.59,34.53 +59952,Canada,2007,COVID-19,Respiratory,2.03,14.64,0.48,36-60,Other,537024,63.01,1.22,0.91,Medication,27497.0,Yes,59.94,1089.0,1.14,80469.0,0.42,68.16 +59958,South Korea,2002,Zika,Infectious,3.99,13.46,6.25,61+,Male,301625,72.4,3.57,4.03,Surgery,5452.0,Yes,68.91,1839.0,5.35,12800.0,0.75,66.81 +59965,Japan,2022,Ebola,Viral,17.48,9.05,5.17,61+,Other,925212,99.32,2.62,7.24,Medication,46821.0,No,69.92,413.0,4.79,85641.0,0.88,51.88 +59967,Japan,2004,Tuberculosis,Bacterial,10.12,10.88,9.92,0-18,Male,445750,76.71,4.06,3.23,Vaccination,14509.0,No,70.42,3931.0,8.42,61824.0,0.74,45.53 +59971,Japan,2001,Cholera,Bacterial,5.72,3.45,4.63,36-60,Other,110094,87.5,4.04,9.63,Medication,11701.0,Yes,98.1,3383.0,8.93,10027.0,0.52,24.06 +59983,Canada,2002,COVID-19,Bacterial,2.11,12.1,7.09,19-35,Female,439053,95.99,2.24,4.61,Surgery,6703.0,Yes,93.97,4386.0,9.69,35091.0,0.72,66.59 +59984,Brazil,2004,Cholera,Cardiovascular,19.35,3.97,5.17,36-60,Male,452322,60.41,2.21,6.5,Medication,26630.0,No,92.89,2851.0,8.28,27309.0,0.45,40.03 +59990,South Africa,2010,Zika,Chronic,5.25,10.72,9.15,19-35,Male,258367,82.93,1.65,2.23,Vaccination,1560.0,No,71.95,3517.0,8.01,90480.0,0.48,44.6 +59992,Canada,2024,Cancer,Bacterial,12.5,5.56,1.84,61+,Male,243358,93.48,3.79,4.67,Therapy,26166.0,No,52.61,2892.0,0.8,56117.0,0.43,29.95 +59997,Australia,2013,Dengue,Chronic,3.02,11.21,2.23,36-60,Other,853383,86.91,1.79,6.97,Vaccination,31477.0,No,60.9,2046.0,3.18,92179.0,0.89,32.97 +60001,South Korea,2019,Alzheimer's Disease,Respiratory,19.69,1.57,1.84,36-60,Male,378377,59.97,1.35,0.61,Vaccination,38575.0,No,90.18,1765.0,2.05,79052.0,0.83,48.0 +60006,France,2006,Tuberculosis,Autoimmune,3.94,11.0,3.11,0-18,Female,106716,78.79,1.0,8.54,Therapy,24196.0,Yes,67.61,2810.0,9.86,25068.0,0.44,77.9 +60010,South Korea,2012,HIV/AIDS,Viral,18.22,11.36,3.43,61+,Other,961982,54.13,2.71,6.6,Therapy,1511.0,Yes,88.14,1907.0,8.7,15537.0,0.66,20.65 +60011,China,2023,Tuberculosis,Autoimmune,7.42,10.51,5.86,36-60,Female,990042,54.91,1.84,4.17,Surgery,17073.0,Yes,93.5,1630.0,9.56,77082.0,0.88,62.0 +60019,Australia,2019,Polio,Viral,6.17,6.72,1.52,36-60,Male,43704,92.36,3.77,5.24,Therapy,14010.0,No,75.67,1266.0,5.95,74186.0,0.5,29.12 +60020,Germany,2019,Hepatitis,Genetic,2.03,14.92,4.13,61+,Female,139320,69.34,1.81,6.9,Vaccination,8565.0,Yes,74.31,1590.0,6.67,58568.0,0.56,67.79 +60022,Saudi Arabia,2008,Malaria,Viral,15.45,8.08,6.92,0-18,Female,408445,77.31,4.57,6.31,Therapy,29126.0,No,79.77,2081.0,9.89,95700.0,0.42,48.13 +60023,Russia,2007,Asthma,Neurological,0.96,14.92,9.21,0-18,Male,753100,73.21,2.96,4.55,Medication,22019.0,Yes,93.98,1713.0,0.02,80671.0,0.47,60.05 +60024,Argentina,2005,Rabies,Genetic,0.47,5.24,5.47,36-60,Male,12402,51.35,3.21,2.37,Therapy,23018.0,No,95.19,1763.0,8.88,32466.0,0.66,67.91 +60026,Argentina,2005,Hepatitis,Parasitic,8.75,1.49,8.82,61+,Male,722936,69.37,2.89,7.45,Medication,32809.0,Yes,70.37,4126.0,1.44,19645.0,0.41,37.1 +60029,Japan,2018,Diabetes,Cardiovascular,11.41,5.87,2.19,0-18,Other,127062,90.17,4.02,5.56,Therapy,42745.0,Yes,91.39,3772.0,0.73,37118.0,0.63,81.91 +60032,Australia,2005,Hepatitis,Neurological,15.18,3.35,3.02,61+,Female,406135,83.16,3.3,1.48,Surgery,42294.0,Yes,90.0,4705.0,8.35,80371.0,0.64,55.88 +60039,South Africa,2018,Rabies,Neurological,14.71,7.91,7.63,0-18,Female,791487,89.91,1.01,4.91,Vaccination,16302.0,No,71.96,3798.0,6.75,84800.0,0.62,33.47 +60040,Brazil,2006,Asthma,Neurological,7.95,1.96,7.44,36-60,Other,177873,88.71,3.22,7.93,Medication,7264.0,No,69.74,1015.0,6.47,91859.0,0.64,25.62 +60050,UK,2003,Parkinson's Disease,Metabolic,11.25,4.34,2.02,0-18,Female,95663,54.53,2.48,2.13,Therapy,15383.0,Yes,65.78,1783.0,3.26,70144.0,0.46,87.8 +60054,Russia,2016,Cancer,Viral,10.59,8.57,8.77,19-35,Male,632241,59.76,4.16,8.7,Medication,10732.0,No,85.13,831.0,3.44,34058.0,0.65,57.65 +60057,France,2018,Alzheimer's Disease,Cardiovascular,18.33,11.02,9.21,61+,Female,646568,69.3,2.46,9.87,Therapy,20763.0,Yes,83.83,4327.0,9.29,95926.0,0.64,67.97 +60060,France,2018,Hepatitis,Chronic,12.03,4.71,4.29,0-18,Male,553461,57.4,5.0,6.11,Surgery,18858.0,No,54.97,1099.0,7.77,53409.0,0.42,20.15 +60062,Italy,2002,Rabies,Chronic,14.51,9.29,9.06,61+,Female,139225,80.92,0.64,1.11,Therapy,20759.0,Yes,53.02,4368.0,9.71,63378.0,0.63,60.69 +60073,India,2007,Cancer,Parasitic,7.56,6.19,5.55,0-18,Other,550394,77.02,2.55,0.67,Vaccination,39597.0,No,60.25,4110.0,4.69,10557.0,0.46,29.04 +60077,Canada,2019,Asthma,Bacterial,6.67,7.11,8.93,19-35,Male,245190,66.92,4.92,5.84,Vaccination,13757.0,No,88.23,3695.0,2.67,52687.0,0.46,74.79 +60081,China,2011,Zika,Chronic,14.29,2.33,8.03,0-18,Male,241215,89.86,2.68,4.68,Vaccination,39202.0,Yes,53.87,4490.0,5.44,20256.0,0.53,39.5 +60082,France,2022,Malaria,Parasitic,18.32,3.48,3.39,36-60,Female,79284,54.36,4.66,7.0,Medication,31548.0,No,58.58,4577.0,9.01,99409.0,0.49,31.88 +60087,Brazil,2016,Cholera,Parasitic,17.96,11.54,2.65,36-60,Other,975407,92.78,1.46,4.67,Therapy,25586.0,Yes,79.48,2722.0,2.54,13619.0,0.51,46.63 +60096,Canada,2011,Hepatitis,Genetic,11.01,13.25,6.29,19-35,Female,881949,59.33,1.34,6.34,Medication,26667.0,No,76.03,2071.0,1.05,74321.0,0.87,36.06 +60097,USA,2022,Cholera,Respiratory,15.89,14.47,7.05,0-18,Male,441420,91.29,3.25,6.46,Therapy,36872.0,Yes,71.53,2169.0,2.62,45140.0,0.83,51.6 +60101,France,2024,HIV/AIDS,Chronic,17.81,8.48,5.58,36-60,Other,128155,58.33,1.5,5.41,Vaccination,17846.0,Yes,72.14,4189.0,1.52,25280.0,0.47,57.06 +60110,Brazil,2009,COVID-19,Viral,17.25,2.4,6.51,61+,Female,249072,70.39,1.33,5.3,Vaccination,36281.0,No,60.46,436.0,3.83,10712.0,0.7,41.09 +60116,Argentina,2016,Ebola,Genetic,9.82,1.81,1.26,61+,Female,975399,86.52,4.09,5.9,Medication,29658.0,Yes,81.39,865.0,1.14,28476.0,0.66,70.72 +60118,India,2019,Measles,Parasitic,11.54,0.74,9.27,36-60,Male,237383,81.77,3.08,9.52,Vaccination,29741.0,Yes,96.72,491.0,6.5,4382.0,0.9,26.24 +60119,Russia,2000,Tuberculosis,Viral,3.78,12.54,6.11,36-60,Male,903121,98.2,4.94,8.25,Medication,29033.0,Yes,58.89,277.0,3.24,92716.0,0.45,35.67 +60121,Russia,2017,Diabetes,Neurological,16.92,14.46,6.82,36-60,Other,758729,67.9,3.13,4.33,Surgery,37385.0,No,80.94,975.0,3.71,10873.0,0.84,30.71 +60123,China,2017,HIV/AIDS,Respiratory,1.77,13.42,8.94,0-18,Male,943167,55.25,0.62,5.36,Medication,17998.0,Yes,83.48,4170.0,8.49,44898.0,0.47,67.91 +60124,Brazil,2007,HIV/AIDS,Bacterial,8.68,11.53,3.62,19-35,Female,115265,70.85,4.34,1.7,Vaccination,32187.0,Yes,87.48,2122.0,9.35,90157.0,0.51,79.5 +60133,France,2024,Asthma,Cardiovascular,9.16,11.68,5.07,61+,Other,745267,92.47,3.13,8.1,Surgery,32335.0,Yes,67.69,1194.0,6.22,43276.0,0.56,35.41 +60140,Turkey,2017,Hypertension,Genetic,12.41,13.06,0.66,36-60,Other,515178,71.7,3.46,0.84,Therapy,23760.0,No,52.27,313.0,8.16,56393.0,0.6,39.58 +60144,Russia,2003,Leprosy,Bacterial,3.46,6.79,3.64,61+,Female,563209,69.21,1.6,0.52,Surgery,45859.0,Yes,79.87,289.0,8.48,63001.0,0.84,70.72 +60146,Mexico,2023,Tuberculosis,Genetic,0.67,3.18,7.46,19-35,Other,682351,97.02,3.9,4.82,Medication,32233.0,Yes,66.53,941.0,9.26,26804.0,0.47,77.13 +60149,Russia,2016,Malaria,Metabolic,19.71,14.24,1.68,0-18,Other,831696,54.69,1.11,7.18,Medication,40249.0,Yes,92.58,3392.0,2.26,75440.0,0.53,42.0 +60154,Canada,2007,HIV/AIDS,Cardiovascular,17.75,14.04,7.26,19-35,Female,31479,93.87,4.81,4.77,Surgery,12686.0,Yes,55.6,4325.0,8.55,7549.0,0.63,30.76 +60167,Italy,2016,Alzheimer's Disease,Cardiovascular,19.84,3.48,3.41,19-35,Other,42827,85.0,2.27,1.96,Medication,29433.0,Yes,85.36,1070.0,5.56,13416.0,0.5,70.81 +60168,South Korea,2013,Dengue,Cardiovascular,9.16,2.49,6.38,36-60,Female,311862,81.92,1.46,0.55,Medication,4421.0,No,95.68,1532.0,6.41,55393.0,0.7,88.0 +60169,Germany,2022,HIV/AIDS,Genetic,5.75,11.4,4.19,36-60,Other,645459,61.18,3.78,0.64,Vaccination,24042.0,Yes,57.98,3517.0,3.8,72569.0,0.62,89.94 +60186,Argentina,2016,Cholera,Infectious,6.53,1.53,7.98,61+,Male,865160,57.14,3.19,5.08,Vaccination,47887.0,Yes,55.35,2865.0,1.73,6206.0,0.72,87.6 +60187,France,2011,Hypertension,Chronic,7.29,9.14,2.88,61+,Male,161177,62.84,0.65,4.93,Surgery,41537.0,No,62.26,1554.0,5.18,22306.0,0.67,24.51 +60189,South Africa,2004,Leprosy,Autoimmune,6.01,6.03,9.01,0-18,Female,221192,75.09,4.75,9.74,Medication,10803.0,Yes,51.14,617.0,0.37,49360.0,0.74,76.41 +60195,Argentina,2009,Cancer,Cardiovascular,7.07,11.31,4.2,19-35,Female,41248,72.73,1.15,5.35,Medication,48928.0,No,58.91,3418.0,7.97,97531.0,0.52,72.93 +60211,Mexico,2023,Parkinson's Disease,Parasitic,12.64,11.07,0.23,19-35,Other,97840,97.4,4.29,1.81,Medication,7653.0,No,56.77,1204.0,6.24,87034.0,0.75,70.93 +60213,Russia,2023,Hepatitis,Genetic,10.3,3.69,0.66,0-18,Female,964347,69.41,2.88,4.18,Surgery,10372.0,No,79.87,4778.0,0.19,93290.0,0.61,72.11 +60220,South Korea,2002,Tuberculosis,Respiratory,8.05,12.18,3.68,0-18,Female,665053,63.41,3.28,8.0,Vaccination,34069.0,Yes,66.86,2806.0,6.22,16290.0,0.51,29.46 +60226,USA,2010,HIV/AIDS,Parasitic,0.43,1.91,7.48,61+,Male,629092,52.42,1.25,9.69,Vaccination,44536.0,Yes,56.25,803.0,0.83,56422.0,0.58,30.03 +60235,Mexico,2021,Leprosy,Autoimmune,5.35,12.41,1.83,0-18,Female,809669,68.08,0.99,2.33,Medication,46507.0,No,57.86,2044.0,5.6,16546.0,0.58,83.41 +60236,Saudi Arabia,2011,Polio,Infectious,5.79,1.65,5.32,0-18,Other,782483,85.37,4.65,6.88,Therapy,4858.0,Yes,75.49,4828.0,5.79,81407.0,0.82,37.31 +60238,France,2018,Hypertension,Cardiovascular,6.26,7.04,9.49,0-18,Male,285446,74.45,3.56,9.21,Medication,32106.0,No,84.32,2419.0,8.94,89010.0,0.77,69.18 +60240,UK,2023,HIV/AIDS,Infectious,17.11,4.42,2.72,61+,Other,945078,98.54,2.14,8.45,Surgery,19629.0,Yes,91.13,2018.0,6.59,49687.0,0.66,65.17 +60245,Italy,2016,Asthma,Metabolic,15.71,12.47,9.66,61+,Female,101233,65.46,2.37,2.22,Vaccination,9164.0,Yes,94.36,2442.0,7.93,67707.0,0.43,67.53 +60253,Saudi Arabia,2024,Hepatitis,Infectious,17.45,10.25,1.25,36-60,Male,807769,56.99,4.82,6.53,Vaccination,46346.0,Yes,96.31,2276.0,2.18,62253.0,0.61,40.54 +60255,China,2016,Influenza,Genetic,5.93,2.56,5.29,36-60,Female,914898,86.86,4.55,1.76,Surgery,18917.0,No,73.02,94.0,4.31,35166.0,0.53,36.04 +60262,Saudi Arabia,2019,Hepatitis,Infectious,14.35,4.96,1.34,36-60,Male,662210,59.38,3.53,7.79,Surgery,26345.0,No,76.09,2951.0,6.44,82933.0,0.88,52.49 +60265,Brazil,2017,HIV/AIDS,Respiratory,16.42,10.38,9.26,61+,Other,328261,70.61,4.49,4.3,Medication,26656.0,No,82.29,3369.0,9.41,5134.0,0.76,30.2 +60269,South Korea,2009,Asthma,Respiratory,9.05,9.13,9.28,36-60,Other,658865,67.96,2.4,3.41,Therapy,23434.0,Yes,80.72,4340.0,9.08,24278.0,0.43,35.44 +60271,Indonesia,2003,Polio,Parasitic,5.76,9.93,0.88,36-60,Other,550310,69.11,2.01,8.44,Medication,3365.0,No,59.63,3433.0,5.34,23668.0,0.47,77.09 +60274,South Africa,2022,Tuberculosis,Autoimmune,10.34,12.28,5.37,61+,Male,406701,79.41,3.9,7.56,Surgery,12454.0,Yes,55.98,2093.0,5.72,95741.0,0.42,43.18 +60281,Indonesia,2015,Hepatitis,Bacterial,7.37,7.6,6.95,0-18,Female,382534,50.95,2.88,0.51,Medication,39388.0,No,63.8,2796.0,6.83,7449.0,0.81,76.02 +60282,Nigeria,2009,Ebola,Bacterial,18.94,8.17,6.31,36-60,Female,287525,65.88,3.47,5.98,Therapy,28346.0,No,64.29,1334.0,0.08,87491.0,0.75,87.9 +60293,Saudi Arabia,2016,Dengue,Chronic,0.28,8.38,9.56,19-35,Other,516092,61.56,0.94,8.88,Vaccination,1009.0,No,65.3,2164.0,2.21,97966.0,0.79,22.64 +60294,Brazil,2023,Hepatitis,Chronic,14.23,12.77,5.31,36-60,Other,325057,67.19,1.89,7.09,Therapy,29096.0,No,63.86,3819.0,3.76,91510.0,0.82,86.16 +60295,China,2020,Ebola,Infectious,9.49,1.81,5.65,19-35,Male,40804,51.89,1.36,7.03,Surgery,16488.0,No,81.16,1144.0,4.17,73827.0,0.77,46.03 +60296,Indonesia,2001,Tuberculosis,Neurological,9.62,7.2,2.7,19-35,Female,319858,55.13,4.12,7.58,Surgery,18543.0,No,88.58,2258.0,2.39,86060.0,0.75,38.11 +60297,Canada,2001,Alzheimer's Disease,Genetic,14.33,5.59,7.5,61+,Male,195158,66.45,4.99,1.07,Medication,34377.0,Yes,61.67,4419.0,0.02,68309.0,0.66,69.34 +60303,Germany,2006,Malaria,Autoimmune,8.94,5.88,4.18,0-18,Other,281457,65.0,3.51,0.58,Therapy,36604.0,No,50.51,637.0,5.34,34735.0,0.52,46.77 +60313,Brazil,2019,Leprosy,Respiratory,9.0,1.64,2.96,36-60,Other,803496,76.61,4.91,4.52,Vaccination,17230.0,No,73.18,4179.0,2.0,51895.0,0.82,62.33 +60324,Russia,2008,Parkinson's Disease,Autoimmune,0.58,4.26,0.11,61+,Female,591479,69.35,1.97,7.34,Medication,17653.0,Yes,96.36,1079.0,0.45,79999.0,0.83,71.49 +60327,Mexico,2010,Dengue,Genetic,19.27,6.39,4.0,19-35,Other,547335,75.86,1.15,7.23,Vaccination,22114.0,Yes,93.82,960.0,1.22,68408.0,0.74,39.41 +60329,Germany,2007,Leprosy,Bacterial,2.59,3.72,5.57,36-60,Other,628824,80.46,1.04,2.43,Vaccination,33573.0,No,88.24,1118.0,4.3,29610.0,0.5,70.4 +60331,Russia,2020,Dengue,Parasitic,2.52,10.34,1.51,61+,Female,38933,52.51,4.64,5.75,Vaccination,39840.0,No,77.32,800.0,8.42,36624.0,0.63,82.47 +60337,Nigeria,2008,COVID-19,Cardiovascular,19.77,6.06,2.7,0-18,Female,780283,80.9,3.26,3.95,Therapy,39377.0,Yes,71.8,1894.0,8.61,36624.0,0.84,46.34 +60340,Nigeria,2018,Leprosy,Respiratory,11.89,11.43,2.21,61+,Male,359320,82.22,0.69,1.84,Vaccination,27441.0,No,78.82,2344.0,0.7,74797.0,0.46,42.76 +60344,Brazil,2017,Hepatitis,Metabolic,3.45,6.33,9.36,61+,Other,996399,73.26,2.58,7.02,Therapy,12742.0,No,87.26,2950.0,9.07,66741.0,0.53,64.64 +60347,Australia,2000,Cancer,Chronic,0.61,8.96,1.17,19-35,Female,252324,97.77,3.76,5.34,Medication,42055.0,No,95.93,112.0,7.15,64241.0,0.74,73.23 +60348,Nigeria,2002,Dengue,Infectious,3.39,9.68,1.27,36-60,Other,600810,92.32,2.31,4.41,Surgery,3831.0,No,60.9,364.0,1.77,42743.0,0.89,71.11 +60351,China,2004,Diabetes,Neurological,10.2,1.05,4.81,0-18,Other,185314,57.54,1.67,0.83,Surgery,20849.0,Yes,65.05,3684.0,2.94,69813.0,0.9,21.55 +60354,South Africa,2020,Rabies,Metabolic,0.49,9.34,8.55,61+,Female,564233,52.94,3.47,1.99,Vaccination,14128.0,No,95.7,1780.0,0.36,70300.0,0.43,64.65 +60355,Turkey,2009,Rabies,Autoimmune,4.28,8.39,5.78,0-18,Other,162772,63.37,0.61,5.83,Vaccination,28516.0,No,82.22,3841.0,2.49,98522.0,0.6,52.29 +60356,Germany,2000,Cholera,Chronic,13.94,14.0,9.11,0-18,Other,368660,54.27,0.81,9.09,Vaccination,40589.0,No,67.65,1987.0,8.13,39341.0,0.89,83.03 +60368,Italy,2019,Dengue,Metabolic,9.12,12.19,8.52,19-35,Other,202414,83.58,4.32,4.92,Therapy,27398.0,Yes,75.31,2039.0,4.11,5807.0,0.51,60.59 +60373,Nigeria,2023,Measles,Neurological,11.8,7.13,6.8,61+,Female,145929,60.82,0.59,7.93,Surgery,9864.0,No,91.0,1748.0,1.76,97313.0,0.53,81.62 +60390,China,2002,Alzheimer's Disease,Chronic,9.69,14.91,4.53,19-35,Male,941959,77.29,4.58,9.31,Medication,19851.0,Yes,93.78,1515.0,8.28,66645.0,0.84,78.47 +60392,Australia,2015,Tuberculosis,Viral,18.63,9.08,6.46,0-18,Other,987090,75.77,0.73,5.69,Vaccination,22407.0,Yes,51.12,3582.0,1.14,35680.0,0.56,26.68 +60406,Turkey,2019,Cancer,Viral,9.46,14.19,1.33,0-18,Male,795706,86.71,0.99,5.3,Vaccination,32042.0,No,52.78,4146.0,2.71,3629.0,0.43,57.21 +60410,Saudi Arabia,2022,Tuberculosis,Viral,16.64,9.43,0.2,0-18,Male,581288,82.39,3.89,2.15,Vaccination,9053.0,Yes,84.95,2291.0,0.29,67858.0,0.74,66.38 +60414,Russia,2009,Hypertension,Autoimmune,2.35,4.17,3.06,61+,Male,241680,78.65,3.94,2.2,Vaccination,3893.0,No,87.16,245.0,8.52,21796.0,0.66,53.32 +60415,Turkey,2004,Ebola,Bacterial,13.0,8.75,7.8,19-35,Other,987581,82.62,4.95,8.94,Surgery,25302.0,Yes,61.94,4747.0,2.52,63948.0,0.75,50.09 +60437,Turkey,2020,Dengue,Chronic,4.97,6.33,3.76,36-60,Female,701139,92.55,0.72,2.77,Vaccination,24884.0,Yes,81.38,3751.0,5.75,30795.0,0.42,32.2 +60440,Argentina,2021,COVID-19,Chronic,1.76,8.93,4.02,19-35,Other,152796,66.89,2.66,5.61,Medication,24544.0,Yes,66.56,1139.0,8.24,54186.0,0.82,82.28 +60442,Turkey,2015,Hepatitis,Parasitic,12.74,3.53,7.66,19-35,Male,111629,92.01,0.79,8.3,Vaccination,16108.0,Yes,66.49,3173.0,3.55,36082.0,0.86,73.97 +60464,Australia,2013,COVID-19,Infectious,15.2,12.94,3.45,0-18,Male,273407,93.58,2.12,3.69,Surgery,46239.0,No,68.93,1894.0,0.48,86534.0,0.85,82.11 +60467,USA,2014,Dengue,Cardiovascular,3.62,14.37,2.45,61+,Female,132732,58.35,0.65,0.54,Therapy,6110.0,Yes,73.2,1198.0,2.61,31972.0,0.56,52.6 +60470,Indonesia,2022,Alzheimer's Disease,Genetic,4.13,4.19,4.57,19-35,Other,923168,50.9,2.35,0.75,Medication,8070.0,Yes,59.41,1698.0,4.94,11449.0,0.82,77.45 +60471,India,2006,Malaria,Parasitic,10.75,14.19,4.1,61+,Other,141763,55.66,3.62,0.98,Surgery,47732.0,No,74.17,3779.0,3.47,61030.0,0.78,38.3 +60472,USA,2000,Cholera,Autoimmune,17.27,12.46,2.7,61+,Female,595512,71.8,1.62,8.11,Surgery,45001.0,No,86.08,4452.0,3.37,86051.0,0.85,75.68 +60475,Indonesia,2000,HIV/AIDS,Neurological,15.19,2.82,1.83,36-60,Other,960027,50.93,3.46,3.97,Medication,4350.0,Yes,54.4,2220.0,5.44,12598.0,0.61,59.81 +60476,Turkey,2018,Tuberculosis,Viral,18.95,12.63,8.4,0-18,Male,710642,91.23,4.43,2.9,Medication,7830.0,Yes,95.66,4792.0,3.64,86826.0,0.7,55.28 +60477,Russia,2006,Leprosy,Autoimmune,8.91,14.61,0.26,19-35,Male,654321,80.02,4.44,7.59,Vaccination,43545.0,No,68.2,4794.0,1.34,17818.0,0.53,28.0 +60479,Italy,2015,Zika,Bacterial,10.44,8.33,2.72,0-18,Female,779934,84.41,3.81,4.57,Surgery,11035.0,Yes,72.53,861.0,3.77,14952.0,0.75,53.2 +60482,Canada,2016,Measles,Cardiovascular,9.52,10.71,2.53,0-18,Male,549167,53.76,1.35,7.0,Vaccination,29196.0,Yes,69.57,4926.0,4.73,73200.0,0.8,35.97 +60484,France,2010,Malaria,Autoimmune,14.42,13.24,5.87,19-35,Female,177309,68.12,1.73,7.77,Surgery,39206.0,No,97.24,2175.0,0.8,55222.0,0.41,48.27 +60491,Canada,2012,Hypertension,Metabolic,17.42,7.03,7.26,61+,Male,366523,60.65,3.02,6.49,Surgery,35560.0,No,87.06,3101.0,3.86,28462.0,0.71,62.5 +60493,Indonesia,2004,Cholera,Neurological,3.26,0.35,9.88,0-18,Other,103071,88.13,0.52,6.26,Surgery,16576.0,Yes,67.53,4534.0,3.5,41225.0,0.6,53.41 +60497,Brazil,2017,Cancer,Chronic,4.13,13.79,3.62,36-60,Female,403654,81.34,2.79,1.61,Surgery,27437.0,No,64.73,3773.0,2.49,9216.0,0.41,34.39 +60505,India,2014,Rabies,Respiratory,13.17,0.22,3.64,19-35,Other,822497,51.42,0.88,4.19,Therapy,35711.0,Yes,54.47,1445.0,3.7,74614.0,0.89,80.37 +60508,Indonesia,2010,Hepatitis,Infectious,14.39,9.29,0.34,61+,Male,949145,57.46,1.57,4.52,Vaccination,13233.0,Yes,58.56,2897.0,6.84,32464.0,0.53,62.12 +60518,South Africa,2017,Dengue,Metabolic,14.54,9.56,2.0,61+,Male,957668,90.88,1.99,5.9,Medication,2204.0,No,96.26,1883.0,6.43,30243.0,0.8,32.55 +60519,Brazil,2005,COVID-19,Infectious,9.05,5.53,1.39,36-60,Female,716167,67.58,1.26,7.07,Surgery,46283.0,No,58.58,3878.0,4.12,24778.0,0.71,75.33 +60520,Nigeria,2004,COVID-19,Neurological,0.4,2.65,9.34,19-35,Female,802168,93.53,0.64,9.49,Therapy,36113.0,Yes,51.19,3798.0,0.65,38585.0,0.73,87.14 +60522,Nigeria,2021,Diabetes,Metabolic,8.68,3.1,4.84,0-18,Female,514955,75.8,4.44,8.02,Therapy,24376.0,No,81.57,1373.0,7.49,57919.0,0.85,42.61 +60524,France,2019,Zika,Viral,12.83,5.54,0.15,36-60,Male,77821,51.86,1.37,3.27,Surgery,49141.0,No,58.19,4395.0,9.8,46512.0,0.78,44.12 +60532,India,2003,Tuberculosis,Viral,17.42,9.07,9.56,36-60,Female,269032,75.81,2.35,8.55,Vaccination,7753.0,No,62.15,1326.0,4.41,71265.0,0.79,85.85 +60537,China,2019,Zika,Genetic,11.1,3.4,5.1,61+,Other,505793,78.71,2.96,6.73,Surgery,16223.0,Yes,80.86,3950.0,2.05,85854.0,0.42,30.91 +60539,India,2006,Hypertension,Chronic,12.71,1.51,7.08,61+,Other,57149,85.78,3.06,1.9,Medication,25521.0,No,88.31,1417.0,4.75,50354.0,0.85,44.91 +60547,South Africa,2001,COVID-19,Infectious,18.96,3.29,0.77,36-60,Other,751694,64.3,3.03,4.14,Therapy,8643.0,Yes,51.96,4671.0,9.17,6075.0,0.66,24.26 +60552,Australia,2024,Measles,Autoimmune,10.87,2.37,4.45,19-35,Male,95228,91.03,4.63,7.72,Therapy,25912.0,No,71.36,2335.0,9.27,16733.0,0.5,38.51 +60561,USA,2003,Asthma,Neurological,14.66,11.24,1.71,61+,Male,319128,83.44,2.71,8.57,Surgery,14670.0,No,82.33,3470.0,6.61,79827.0,0.51,81.63 +60563,USA,2020,Hepatitis,Autoimmune,8.95,5.24,7.96,61+,Female,254980,93.43,3.85,7.14,Surgery,32630.0,Yes,75.27,2967.0,7.81,9518.0,0.52,59.99 +60566,France,2024,Ebola,Neurological,18.06,2.74,4.84,0-18,Female,46765,81.22,4.87,8.35,Vaccination,12013.0,Yes,92.62,940.0,7.26,86149.0,0.55,76.7 +60570,China,2004,Ebola,Parasitic,1.86,8.2,4.36,0-18,Other,299618,89.98,3.36,1.24,Surgery,47568.0,Yes,98.51,4213.0,6.53,21269.0,0.72,86.46 +60576,Japan,2011,Cancer,Viral,9.8,4.57,8.96,61+,Female,960456,85.14,3.56,0.62,Medication,4300.0,Yes,81.91,2568.0,1.48,93322.0,0.51,37.98 +60581,Italy,2024,Cholera,Infectious,9.76,4.59,3.43,36-60,Other,783340,63.33,2.96,6.5,Therapy,23450.0,No,51.14,3613.0,0.14,69923.0,0.88,50.93 +60588,Italy,2006,Cancer,Chronic,15.01,3.6,7.9,61+,Other,493117,87.44,2.02,6.77,Therapy,31716.0,No,82.41,1277.0,5.5,25088.0,0.59,61.5 +60589,Italy,2014,Malaria,Infectious,0.8,8.99,8.17,19-35,Other,533232,78.96,3.38,2.85,Therapy,49486.0,No,82.34,4761.0,8.99,34364.0,0.45,38.9 +60593,Nigeria,2009,Zika,Chronic,3.04,4.72,4.51,19-35,Male,236249,62.01,4.34,7.98,Medication,6320.0,No,75.55,874.0,1.82,25819.0,0.73,80.86 +60597,Canada,2009,Cholera,Infectious,11.67,10.61,5.72,61+,Female,160505,63.69,0.65,3.04,Surgery,17892.0,No,97.82,3549.0,4.34,81345.0,0.4,59.84 +60604,Germany,2010,Malaria,Bacterial,5.54,14.99,7.35,61+,Male,339629,51.12,4.99,8.44,Therapy,21090.0,Yes,77.48,448.0,6.84,48274.0,0.61,34.2 +60610,Canada,2014,Alzheimer's Disease,Viral,0.89,10.79,1.21,0-18,Other,708252,65.84,1.49,8.08,Surgery,48195.0,No,90.96,4874.0,0.35,78572.0,0.58,25.94 +60612,Italy,2000,Cancer,Infectious,14.41,10.51,8.63,61+,Female,120579,55.54,3.81,3.95,Therapy,27688.0,No,84.24,1621.0,5.61,2667.0,0.71,87.43 +60613,China,2004,COVID-19,Neurological,15.87,1.53,2.09,19-35,Other,953070,58.97,0.98,9.17,Therapy,16934.0,No,54.86,3291.0,3.25,16737.0,0.67,78.08 +60614,USA,2004,Asthma,Metabolic,1.87,10.31,8.71,61+,Male,785226,50.09,2.63,3.75,Therapy,15930.0,No,97.97,771.0,8.97,46804.0,0.57,68.12 +60621,UK,2013,Hypertension,Genetic,14.0,2.83,8.56,19-35,Male,616214,81.63,2.81,1.58,Therapy,18949.0,Yes,67.18,777.0,4.61,28274.0,0.72,47.01 +60625,Brazil,2006,Parkinson's Disease,Neurological,12.81,13.8,2.56,61+,Other,303399,88.55,4.64,4.24,Surgery,49442.0,Yes,82.98,2047.0,2.42,93775.0,0.51,59.08 +60627,Canada,2017,Dengue,Parasitic,15.55,11.12,9.4,0-18,Male,373817,76.95,4.68,7.36,Vaccination,1727.0,Yes,53.34,3645.0,8.36,63419.0,0.53,79.71 +60628,India,2002,Leprosy,Bacterial,19.62,11.5,1.5,19-35,Female,993885,95.85,3.14,5.1,Surgery,25833.0,Yes,88.69,4769.0,8.66,48130.0,0.88,55.64 +60631,Argentina,2017,Ebola,Cardiovascular,5.58,14.0,5.33,61+,Other,980160,61.92,0.72,8.28,Therapy,31218.0,No,71.11,2609.0,7.0,62069.0,0.55,81.0 +60638,Indonesia,2018,Hypertension,Infectious,2.85,11.17,2.21,0-18,Other,975340,96.4,1.17,1.84,Therapy,25006.0,Yes,50.13,1811.0,6.29,57111.0,0.79,50.99 +60648,Turkey,2004,Cholera,Metabolic,3.59,10.64,8.91,36-60,Male,753640,96.48,3.25,6.72,Medication,13145.0,No,72.62,2605.0,5.95,12989.0,0.88,68.03 +60655,Russia,2010,Leprosy,Viral,13.8,1.12,5.23,61+,Male,273723,99.19,1.25,7.39,Medication,307.0,Yes,83.55,4273.0,1.09,30375.0,0.64,20.86 +60656,South Africa,2001,Cholera,Parasitic,13.32,12.25,9.02,19-35,Male,795198,71.85,0.88,1.66,Vaccination,43986.0,No,92.03,2888.0,6.28,49170.0,0.56,42.69 +60657,South Korea,2015,Asthma,Respiratory,2.2,10.42,3.07,61+,Male,811231,59.47,2.39,7.5,Surgery,46332.0,Yes,69.15,2691.0,4.69,84182.0,0.56,63.6 +60660,Canada,2024,Tuberculosis,Respiratory,13.76,9.07,6.38,0-18,Female,156956,76.49,1.68,2.6,Surgery,40466.0,No,86.84,3000.0,8.83,8894.0,0.78,29.03 +60665,Germany,2000,COVID-19,Parasitic,12.69,7.88,3.55,19-35,Other,870778,88.28,0.75,1.55,Medication,49461.0,Yes,63.75,3915.0,7.23,18975.0,0.87,35.92 +60666,UK,2011,Asthma,Bacterial,17.16,0.36,6.05,61+,Male,332845,98.25,3.35,7.99,Medication,37269.0,No,96.18,1189.0,8.91,24589.0,0.44,29.08 +60670,France,2023,Tuberculosis,Infectious,4.08,5.84,8.76,19-35,Female,73851,95.64,3.04,6.98,Therapy,23128.0,Yes,92.06,1508.0,6.15,40901.0,0.72,40.89 +60675,UK,2017,Leprosy,Genetic,15.73,0.73,7.73,0-18,Male,69804,76.63,4.01,7.28,Therapy,24695.0,No,64.33,3752.0,3.99,13371.0,0.5,61.66 +60679,Brazil,2012,Measles,Infectious,0.39,5.52,8.86,61+,Female,310408,53.97,2.54,1.83,Therapy,30353.0,No,56.99,910.0,3.09,31798.0,0.71,42.18 +60681,Australia,2001,Alzheimer's Disease,Autoimmune,0.85,8.71,4.41,61+,Other,773216,94.45,4.12,5.36,Therapy,29304.0,No,94.0,1756.0,1.4,14641.0,0.69,35.47 +60683,UK,2011,Cancer,Metabolic,11.25,6.76,8.59,36-60,Other,460716,54.2,2.23,1.85,Therapy,19167.0,Yes,58.41,4948.0,6.67,76717.0,0.88,43.72 +60688,Japan,2018,Asthma,Neurological,9.77,10.5,3.28,36-60,Other,211760,98.2,3.37,8.0,Vaccination,1631.0,No,74.67,1382.0,7.29,96956.0,0.46,56.2 +60697,Italy,2004,HIV/AIDS,Respiratory,2.72,6.47,6.56,0-18,Male,970423,81.37,4.65,0.56,Therapy,16252.0,No,55.45,1609.0,0.09,24126.0,0.54,66.97 +60700,France,2004,Parkinson's Disease,Chronic,4.99,1.01,9.41,0-18,Female,462868,69.37,2.7,7.94,Surgery,4526.0,Yes,92.62,363.0,5.83,79845.0,0.81,44.39 +60714,Japan,2003,Hypertension,Chronic,13.03,10.56,3.12,61+,Female,548320,90.0,2.21,6.64,Surgery,19957.0,No,86.63,4960.0,9.95,52754.0,0.8,75.83 +60715,Australia,2018,Measles,Infectious,18.55,14.67,3.52,61+,Other,802136,92.43,1.05,8.94,Vaccination,3441.0,No,84.87,2040.0,5.04,19837.0,0.67,53.58 +60716,Russia,2017,Alzheimer's Disease,Viral,3.9,1.24,3.2,61+,Other,733991,91.94,3.13,3.98,Vaccination,44983.0,Yes,83.68,3425.0,0.03,81707.0,0.67,20.77 +60717,South Korea,2009,Tuberculosis,Infectious,19.77,1.86,9.47,0-18,Other,772997,85.87,2.83,8.84,Vaccination,20894.0,Yes,97.88,2032.0,1.98,99358.0,0.76,60.92 +60725,South Africa,2023,Tuberculosis,Viral,6.63,6.59,6.3,36-60,Male,199889,81.28,3.5,9.0,Surgery,18444.0,Yes,86.78,1432.0,3.3,26666.0,0.61,86.19 +60726,Mexico,2008,HIV/AIDS,Respiratory,5.23,12.56,3.98,36-60,Female,395998,53.92,0.61,5.96,Medication,9324.0,No,93.02,3404.0,6.63,24814.0,0.88,43.63 +60731,Nigeria,2011,Hypertension,Neurological,4.54,1.53,7.49,36-60,Male,797039,80.06,1.81,1.09,Surgery,44346.0,Yes,98.54,4340.0,8.54,50545.0,0.45,54.29 +60732,Germany,2002,Hepatitis,Metabolic,13.64,8.98,0.79,19-35,Other,31432,55.32,4.54,9.5,Therapy,45248.0,Yes,89.05,3161.0,8.0,93286.0,0.64,66.19 +60744,Nigeria,2009,Influenza,Cardiovascular,1.51,11.81,8.52,0-18,Other,825297,64.14,3.5,6.43,Vaccination,38257.0,No,70.38,2934.0,7.58,86228.0,0.78,81.03 +60753,South Africa,2001,Ebola,Genetic,17.55,8.95,9.58,0-18,Male,427286,84.69,1.42,5.78,Surgery,36580.0,No,70.12,3118.0,5.35,32478.0,0.47,86.11 +60761,Russia,2016,Asthma,Infectious,6.8,8.58,5.64,0-18,Female,772926,65.83,4.37,6.25,Therapy,5212.0,No,81.33,9.0,4.26,65223.0,0.86,26.04 +60767,South Africa,2024,Ebola,Neurological,12.02,8.7,3.1,61+,Other,558269,82.69,1.17,2.95,Therapy,8142.0,Yes,59.75,3734.0,7.23,33090.0,0.46,71.46 +60769,UK,2006,Malaria,Respiratory,16.46,10.66,2.93,61+,Male,52597,78.47,3.49,1.39,Vaccination,17688.0,Yes,88.48,4008.0,7.2,61809.0,0.52,72.06 +60773,Germany,2023,Rabies,Infectious,8.31,11.68,0.99,61+,Other,960319,63.5,3.49,2.1,Therapy,1002.0,Yes,91.84,4039.0,7.42,56442.0,0.69,36.37 +60775,China,2020,Leprosy,Viral,14.63,0.37,4.11,36-60,Male,255574,92.83,1.88,8.92,Surgery,4365.0,Yes,84.84,3559.0,6.99,33045.0,0.54,28.11 +60782,Turkey,2021,Leprosy,Respiratory,1.38,7.85,6.39,19-35,Other,548698,99.02,0.9,8.18,Surgery,32039.0,No,94.98,4301.0,7.97,13123.0,0.58,65.06 +60785,Italy,2018,HIV/AIDS,Parasitic,18.7,12.51,3.19,61+,Female,994397,50.63,2.83,3.52,Surgery,20490.0,No,72.91,1583.0,9.06,61661.0,0.54,20.91 +60789,Australia,2007,Measles,Infectious,15.42,0.94,7.93,19-35,Other,509194,89.66,2.91,5.04,Therapy,12416.0,No,79.28,3664.0,5.27,39873.0,0.82,26.92 +60791,Germany,2021,Cholera,Genetic,0.84,8.81,3.77,61+,Female,298849,73.31,1.5,7.15,Therapy,30468.0,Yes,76.21,1314.0,5.3,5278.0,0.65,40.51 +60796,South Korea,2015,Cancer,Genetic,12.51,9.94,6.62,19-35,Male,178339,58.18,3.95,0.75,Surgery,10027.0,No,69.35,423.0,4.71,32709.0,0.62,81.83 +60798,Japan,2022,Cholera,Infectious,0.7,5.62,6.47,0-18,Female,363927,59.74,4.99,4.75,Medication,27680.0,Yes,74.43,1326.0,1.34,44139.0,0.55,74.64 +60800,Italy,2011,Rabies,Respiratory,1.25,5.12,5.48,61+,Male,169608,85.63,4.75,9.82,Surgery,44192.0,No,74.33,4971.0,9.93,12497.0,0.77,30.02 +60803,Mexico,2012,Asthma,Neurological,19.62,12.67,1.52,36-60,Female,576746,57.25,3.94,5.7,Therapy,23779.0,No,88.37,4650.0,4.64,43311.0,0.49,55.53 +60808,UK,2006,Leprosy,Chronic,19.14,11.21,0.4,36-60,Male,347671,82.48,3.0,3.82,Medication,943.0,No,63.85,3946.0,6.82,4192.0,0.69,65.2 +60814,South Africa,2014,Measles,Cardiovascular,8.65,13.54,8.95,19-35,Other,177302,51.02,4.2,3.96,Medication,37139.0,No,50.01,2484.0,1.15,76397.0,0.47,31.31 +60818,India,2021,Cholera,Neurological,3.57,6.79,5.83,0-18,Female,345206,54.65,1.03,5.14,Surgery,20404.0,Yes,67.52,2822.0,1.79,83498.0,0.5,25.14 +60821,Italy,2023,Rabies,Parasitic,1.16,0.21,5.71,0-18,Female,506126,64.28,4.58,6.87,Therapy,46540.0,Yes,98.95,2984.0,5.65,19793.0,0.51,60.74 +60822,South Africa,2006,Leprosy,Parasitic,7.87,9.18,1.72,19-35,Female,94835,85.09,0.86,7.11,Surgery,19866.0,Yes,52.03,1487.0,2.83,67086.0,0.64,54.33 +60828,France,2006,Hypertension,Parasitic,18.75,7.17,9.0,0-18,Other,927826,96.72,2.35,9.47,Vaccination,6537.0,No,80.91,1321.0,9.43,36587.0,0.66,31.2 +60829,Germany,2020,Hypertension,Chronic,15.33,13.44,3.25,19-35,Male,762390,70.37,4.46,7.29,Vaccination,14154.0,Yes,68.24,478.0,1.59,10630.0,0.5,55.22 +60835,France,2004,Asthma,Neurological,14.06,6.13,4.89,61+,Female,80093,99.99,3.55,6.18,Therapy,39443.0,No,61.14,198.0,6.49,53020.0,0.89,46.17 +60837,UK,2003,Zika,Infectious,7.31,14.06,5.7,36-60,Female,342837,84.23,2.98,4.53,Therapy,34517.0,No,85.09,4936.0,9.71,48674.0,0.83,22.99 +60838,Brazil,2006,Alzheimer's Disease,Neurological,17.2,0.86,0.49,36-60,Male,695550,87.79,0.6,8.56,Surgery,40893.0,No,95.87,4234.0,6.89,66231.0,0.52,38.55 +60841,Italy,2002,Zika,Metabolic,11.73,9.99,7.71,61+,Female,986384,96.49,3.33,6.95,Surgery,48892.0,No,58.46,3542.0,4.36,20831.0,0.81,34.94 +60864,Brazil,2010,Cholera,Genetic,6.53,8.02,6.67,36-60,Male,643225,89.54,2.64,9.49,Therapy,10284.0,Yes,54.9,776.0,8.14,86903.0,0.55,48.32 +60867,Mexico,2021,Asthma,Viral,16.34,15.0,1.48,36-60,Other,833809,73.32,2.32,4.86,Medication,33029.0,No,67.53,2778.0,0.25,97867.0,0.42,74.57 +60868,China,2022,Asthma,Chronic,9.93,10.72,7.56,61+,Male,420229,88.96,2.1,6.58,Therapy,25177.0,No,98.28,1459.0,0.4,80289.0,0.44,57.23 +60877,Brazil,2003,Rabies,Viral,19.42,14.23,9.33,61+,Female,378172,75.31,1.2,4.53,Surgery,13462.0,No,87.32,1198.0,1.01,99716.0,0.88,84.04 +60881,Argentina,2009,Influenza,Viral,4.84,13.38,3.8,61+,Other,126156,65.75,0.64,5.7,Vaccination,27919.0,No,57.76,4455.0,5.28,69886.0,0.48,22.85 +60884,India,2020,Zika,Respiratory,19.92,13.51,4.68,36-60,Other,741567,91.59,4.55,5.58,Surgery,34385.0,Yes,92.04,2267.0,9.47,83658.0,0.46,70.06 +60886,France,2001,Influenza,Respiratory,18.22,7.15,4.45,0-18,Other,609493,68.32,0.89,8.34,Surgery,34924.0,No,71.21,2949.0,7.07,49017.0,0.8,86.95 +60887,UK,2020,Dengue,Parasitic,8.05,0.75,5.96,19-35,Other,429425,91.07,4.33,6.87,Surgery,12706.0,No,79.37,3543.0,2.5,61845.0,0.7,87.69 +60897,Turkey,2005,Influenza,Bacterial,11.42,6.83,5.41,36-60,Male,792675,80.69,4.78,8.07,Surgery,17155.0,Yes,59.52,1700.0,2.26,35477.0,0.85,30.48 +60906,Saudi Arabia,2017,Diabetes,Respiratory,2.51,10.98,1.69,36-60,Other,50038,51.34,2.12,8.81,Medication,32104.0,Yes,71.61,1698.0,3.55,97960.0,0.82,24.01 +60908,India,2018,Parkinson's Disease,Bacterial,8.43,2.19,1.65,0-18,Male,336141,74.71,2.27,3.71,Surgery,22891.0,No,62.22,4857.0,7.51,5691.0,0.49,28.05 +60917,Australia,2022,Cancer,Parasitic,11.85,0.54,5.91,19-35,Male,763870,85.68,3.71,3.42,Vaccination,28835.0,Yes,84.16,549.0,3.23,83027.0,0.53,28.34 +60931,France,2012,Hypertension,Viral,2.68,5.7,3.62,0-18,Female,177891,52.25,1.08,8.03,Medication,43894.0,Yes,70.22,2735.0,4.33,26703.0,0.65,33.63 +60939,South Africa,2012,Influenza,Bacterial,9.32,6.85,5.68,61+,Other,377056,50.84,4.86,8.66,Therapy,6466.0,No,67.57,1764.0,1.3,40354.0,0.42,33.8 +60944,Germany,2021,Influenza,Neurological,12.1,7.5,3.61,0-18,Other,636471,62.7,2.69,6.59,Vaccination,41991.0,No,66.36,776.0,9.32,47468.0,0.86,45.09 +60949,Australia,2016,Influenza,Respiratory,17.83,14.36,8.46,36-60,Female,815108,54.04,2.17,6.01,Medication,19157.0,Yes,89.89,4071.0,1.77,20403.0,0.54,87.82 +60950,South Africa,2012,HIV/AIDS,Metabolic,6.35,2.54,3.65,19-35,Other,725117,84.14,2.88,1.86,Vaccination,23436.0,Yes,85.56,1715.0,5.59,54089.0,0.88,89.75 +60961,Nigeria,2024,Parkinson's Disease,Respiratory,2.4,13.01,1.39,36-60,Male,634550,98.48,4.39,8.04,Therapy,27890.0,No,95.32,494.0,1.42,92727.0,0.49,89.81 +60967,Canada,2001,Leprosy,Metabolic,8.15,14.13,8.31,61+,Female,294231,64.09,2.69,9.5,Medication,44470.0,Yes,91.98,3153.0,6.91,4726.0,0.81,72.5 +60974,South Korea,2020,Diabetes,Viral,11.69,2.87,1.58,0-18,Other,799250,86.76,2.9,5.97,Therapy,33132.0,Yes,60.31,23.0,8.55,49865.0,0.68,38.74 +60980,Italy,2007,Influenza,Parasitic,16.11,12.41,4.45,0-18,Female,711596,96.63,2.11,8.15,Vaccination,45390.0,No,60.13,994.0,1.49,29962.0,0.77,76.05 +60983,UK,2018,Tuberculosis,Cardiovascular,16.57,0.48,8.85,61+,Other,79526,78.95,1.97,7.4,Therapy,22421.0,No,95.39,1419.0,0.7,33064.0,0.83,22.82 +60985,Japan,2018,Rabies,Cardiovascular,10.48,4.62,3.37,0-18,Female,775898,77.81,1.8,4.61,Therapy,7833.0,No,51.6,57.0,9.49,29210.0,0.44,23.82 +60993,Argentina,2014,Cholera,Cardiovascular,19.79,3.1,3.12,36-60,Male,265565,99.38,4.74,2.61,Surgery,41503.0,No,75.09,2910.0,6.03,29998.0,0.61,79.67 +60996,Nigeria,2017,Cancer,Autoimmune,4.09,8.12,7.6,61+,Female,203017,55.43,2.95,2.89,Medication,17352.0,No,57.76,1636.0,5.27,97581.0,0.82,71.39 +61001,Japan,2012,COVID-19,Metabolic,7.61,5.82,2.25,0-18,Female,431429,80.61,4.4,3.71,Vaccination,22533.0,No,51.24,265.0,4.04,83953.0,0.82,37.68 +61005,UK,2020,Diabetes,Viral,10.99,4.25,2.45,61+,Male,710596,80.71,1.57,9.85,Surgery,30287.0,Yes,61.7,3582.0,9.58,88685.0,0.47,45.41 +61022,Brazil,2010,Dengue,Metabolic,10.15,7.1,5.89,0-18,Female,280990,64.22,1.86,8.62,Medication,12282.0,Yes,94.04,3623.0,8.83,76997.0,0.68,29.4 +61023,Nigeria,2003,Polio,Autoimmune,17.02,4.28,6.46,19-35,Male,482996,66.92,2.87,4.25,Vaccination,12243.0,No,94.3,2001.0,7.93,35905.0,0.61,77.16 +61034,Saudi Arabia,2018,Ebola,Autoimmune,3.0,13.06,1.12,61+,Other,744635,62.6,2.67,5.6,Vaccination,16490.0,Yes,70.29,3163.0,9.51,29015.0,0.43,52.94 +61035,China,2020,Measles,Cardiovascular,3.14,3.16,4.09,0-18,Female,262623,69.58,1.16,3.06,Medication,29598.0,No,57.29,3711.0,4.56,24789.0,0.72,40.28 +61038,Argentina,2008,Leprosy,Parasitic,5.76,2.95,5.23,61+,Female,733237,91.2,4.21,2.63,Surgery,8607.0,Yes,79.74,438.0,3.7,97124.0,0.84,86.97 +61043,Saudi Arabia,2020,Hepatitis,Bacterial,17.26,2.33,3.09,61+,Male,579891,93.09,4.17,0.94,Medication,43898.0,No,84.62,2756.0,1.15,53482.0,0.53,83.42 +61046,China,2023,Measles,Respiratory,13.72,14.46,2.85,36-60,Other,426409,88.69,2.64,8.04,Medication,9155.0,Yes,69.01,3413.0,4.63,30201.0,0.62,61.37 +61047,Russia,2005,COVID-19,Neurological,15.56,5.11,6.9,36-60,Male,409174,96.26,4.47,8.4,Therapy,5884.0,Yes,54.52,146.0,1.29,10911.0,0.49,43.03 +61052,Japan,2015,Parkinson's Disease,Parasitic,18.97,5.99,3.02,61+,Male,898899,56.36,3.05,1.9,Medication,32769.0,Yes,71.69,507.0,5.78,36987.0,0.44,84.4 +61054,Brazil,2010,Zika,Viral,5.3,9.76,8.5,19-35,Male,530296,50.76,1.8,7.87,Medication,47255.0,No,64.59,680.0,0.57,51378.0,0.57,69.42 +61055,Japan,2021,Diabetes,Autoimmune,18.38,10.93,2.76,36-60,Male,191537,72.77,3.2,7.12,Therapy,2042.0,Yes,77.42,3408.0,3.21,86822.0,0.41,87.75 +61058,Saudi Arabia,2001,Cholera,Viral,2.0,8.95,8.26,0-18,Male,745618,51.88,2.2,9.2,Medication,5483.0,Yes,69.62,3389.0,5.51,35792.0,0.79,23.09 +61059,Brazil,2010,Rabies,Neurological,14.97,11.47,6.07,61+,Female,397143,79.39,1.88,4.33,Medication,18139.0,No,87.49,1547.0,0.28,74555.0,0.54,55.13 +61060,Indonesia,2017,Cancer,Chronic,1.16,13.76,5.26,0-18,Male,606501,78.21,2.4,7.83,Therapy,20461.0,No,58.65,4829.0,4.86,36586.0,0.89,47.35 +61065,UK,2017,Hypertension,Parasitic,9.45,3.19,0.83,19-35,Male,110687,90.43,0.87,5.15,Vaccination,9410.0,No,66.75,3400.0,6.59,87665.0,0.62,81.12 +61066,Canada,2018,Ebola,Parasitic,16.74,0.61,6.29,19-35,Other,327850,66.08,3.34,8.59,Medication,21741.0,No,70.18,4003.0,6.45,84871.0,0.64,54.24 +61070,Italy,2007,Alzheimer's Disease,Autoimmune,3.56,10.04,7.46,19-35,Female,489916,83.4,1.24,9.33,Therapy,21132.0,Yes,77.94,2387.0,7.82,58924.0,0.51,24.93 +61073,Brazil,2000,Alzheimer's Disease,Cardiovascular,6.79,12.36,9.51,19-35,Other,953405,78.22,0.69,7.7,Surgery,8759.0,No,57.85,1877.0,6.45,64815.0,0.74,29.45 +61086,Brazil,2008,Cancer,Respiratory,17.36,6.74,2.53,19-35,Female,655630,80.14,0.88,6.38,Vaccination,30788.0,Yes,96.98,2322.0,3.81,51883.0,0.44,47.28 +61097,Japan,2011,Asthma,Autoimmune,8.04,5.27,7.49,0-18,Male,430179,88.27,4.14,7.3,Therapy,8233.0,No,95.78,1943.0,5.05,12981.0,0.88,57.56 +61100,Japan,2004,Malaria,Neurological,1.41,5.2,4.76,19-35,Other,812897,50.6,4.14,0.55,Vaccination,26240.0,No,93.94,2896.0,7.72,71416.0,0.45,54.87 +61102,Japan,2015,Tuberculosis,Metabolic,5.14,9.55,7.65,36-60,Other,40309,85.16,4.59,7.94,Surgery,13843.0,Yes,67.01,2874.0,8.39,7490.0,0.7,79.0 +61108,Japan,2013,Zika,Parasitic,6.0,12.57,1.49,61+,Other,189979,76.87,2.19,3.43,Vaccination,36947.0,Yes,80.51,4852.0,3.14,81247.0,0.63,53.21 +61121,Saudi Arabia,2016,Hepatitis,Viral,19.98,4.93,1.34,0-18,Other,883645,50.09,0.98,1.96,Therapy,28885.0,Yes,51.5,269.0,3.09,8925.0,0.74,67.49 +61126,Canada,2005,Hypertension,Cardiovascular,6.68,0.74,8.85,0-18,Male,432300,59.64,1.3,1.61,Surgery,8314.0,Yes,55.44,4330.0,0.2,67623.0,0.63,27.71 +61130,Indonesia,2023,COVID-19,Autoimmune,16.45,8.36,1.23,0-18,Other,538146,77.08,4.96,7.76,Medication,42949.0,Yes,79.92,1244.0,7.41,98608.0,0.46,40.48 +61139,South Africa,2012,HIV/AIDS,Respiratory,2.03,3.98,6.91,19-35,Male,900324,87.58,4.36,0.86,Medication,35755.0,No,93.8,2192.0,3.59,33685.0,0.4,43.92 +61143,Russia,2014,Polio,Metabolic,2.14,3.9,7.87,19-35,Other,566951,62.78,0.62,8.24,Therapy,8595.0,No,92.62,3512.0,4.05,48378.0,0.82,79.14 +61147,South Africa,2020,Dengue,Cardiovascular,10.7,10.66,4.62,61+,Male,154172,92.15,2.49,1.05,Surgery,14627.0,No,86.5,412.0,7.58,29429.0,0.76,36.75 +61148,Indonesia,2011,Zika,Genetic,9.18,5.67,3.31,19-35,Female,217258,51.55,4.36,2.35,Surgery,5873.0,No,54.13,1160.0,9.01,10910.0,0.46,53.05 +61150,South Africa,2005,Leprosy,Bacterial,15.34,9.81,4.7,19-35,Male,898535,79.35,4.35,8.04,Therapy,10190.0,No,60.51,2717.0,3.81,30159.0,0.73,25.59 +61153,Indonesia,2011,Cancer,Autoimmune,3.99,3.03,5.06,61+,Other,399256,60.26,1.52,2.95,Medication,31734.0,Yes,54.06,3725.0,3.31,59083.0,0.58,80.22 +61155,Canada,2009,Measles,Viral,14.6,14.59,4.16,61+,Female,686609,93.5,4.71,1.04,Surgery,6830.0,No,82.36,3158.0,5.16,9684.0,0.9,37.28 +61161,USA,2015,COVID-19,Metabolic,17.33,6.24,7.41,61+,Female,377280,98.37,1.21,6.34,Vaccination,24553.0,No,58.8,4883.0,1.19,92913.0,0.41,21.65 +61164,Indonesia,2024,Measles,Parasitic,3.7,5.2,3.64,36-60,Male,366775,97.83,2.36,8.21,Therapy,39284.0,Yes,73.23,3618.0,5.61,31352.0,0.53,57.36 +61165,Mexico,2006,Zika,Infectious,14.94,8.21,8.58,61+,Male,922059,90.96,1.23,1.99,Therapy,12085.0,Yes,58.91,4201.0,1.98,59119.0,0.77,22.92 +61172,Canada,2021,Cancer,Viral,2.8,7.24,4.91,61+,Other,412303,93.38,4.85,4.73,Therapy,4559.0,Yes,55.55,2102.0,4.75,97675.0,0.74,69.92 +61180,Italy,2011,Ebola,Neurological,7.86,4.26,8.99,19-35,Other,843543,58.67,4.26,3.41,Medication,20410.0,No,73.99,3796.0,6.74,7063.0,0.49,74.51 +61192,Nigeria,2006,Malaria,Metabolic,15.29,0.25,3.1,0-18,Other,749187,75.03,2.58,2.03,Therapy,33570.0,No,65.61,2328.0,7.1,97238.0,0.8,86.76 +61197,Brazil,2020,Cholera,Chronic,5.34,6.0,2.32,0-18,Male,556150,58.75,3.57,0.65,Vaccination,10286.0,Yes,74.85,2467.0,7.11,10723.0,0.61,71.82 +61199,South Korea,2001,Polio,Chronic,11.39,9.35,7.86,19-35,Male,867227,69.33,1.32,7.87,Vaccination,36850.0,Yes,69.0,4012.0,4.89,29757.0,0.47,62.37 +61207,Brazil,2024,Leprosy,Viral,16.64,13.43,6.19,61+,Male,268696,67.09,1.24,1.12,Medication,23734.0,Yes,84.96,309.0,9.99,90798.0,0.82,54.04 +61215,USA,2018,Polio,Bacterial,2.55,1.46,3.12,19-35,Other,707586,57.8,2.84,4.26,Medication,17996.0,No,67.96,473.0,1.14,32677.0,0.68,21.22 +61217,Brazil,2003,COVID-19,Metabolic,3.78,10.61,3.68,19-35,Male,251493,74.86,4.05,2.77,Therapy,19924.0,Yes,57.18,3282.0,2.41,54577.0,0.58,62.29 +61223,UK,2013,Asthma,Bacterial,18.33,6.67,6.93,36-60,Female,576075,63.98,3.02,7.88,Vaccination,7886.0,Yes,67.43,3002.0,4.36,17429.0,0.56,68.36 +61224,South Korea,2001,Alzheimer's Disease,Neurological,6.93,0.98,3.38,0-18,Female,104701,76.75,2.58,0.87,Vaccination,6082.0,Yes,55.46,2785.0,7.69,29351.0,0.7,64.91 +61230,Germany,2009,COVID-19,Autoimmune,13.09,12.4,9.68,61+,Male,533462,90.32,4.02,7.6,Therapy,42779.0,No,92.67,3950.0,3.89,90483.0,0.71,26.55 +61243,France,2003,Cancer,Respiratory,0.89,4.44,3.86,36-60,Other,605403,53.33,4.25,1.72,Medication,18871.0,Yes,97.79,1189.0,5.37,63742.0,0.4,59.54 +61244,Argentina,2016,Polio,Viral,16.3,14.11,7.03,61+,Other,692963,58.67,3.31,7.16,Therapy,45847.0,Yes,50.51,1378.0,9.61,78523.0,0.76,59.82 +61246,Japan,2008,Rabies,Infectious,5.59,12.36,7.54,36-60,Female,408399,60.9,1.63,3.74,Therapy,26211.0,No,81.37,271.0,1.45,86174.0,0.57,27.48 +61256,Germany,2018,Measles,Infectious,0.72,10.5,9.54,36-60,Female,802763,96.65,4.85,8.89,Medication,45774.0,Yes,75.89,423.0,2.19,98952.0,0.88,85.33 +61264,Argentina,2014,Polio,Bacterial,8.35,14.15,2.97,19-35,Other,420351,70.39,4.85,4.91,Vaccination,35113.0,No,98.59,3647.0,8.77,81756.0,0.82,63.75 +61270,China,2022,Zika,Parasitic,17.39,11.82,2.49,61+,Other,71296,68.34,2.42,5.89,Therapy,7924.0,No,71.01,4919.0,2.1,32110.0,0.7,82.09 +61280,Australia,2007,Malaria,Autoimmune,1.68,6.8,2.43,0-18,Male,46506,57.24,0.81,9.1,Vaccination,17450.0,No,69.42,2154.0,9.34,58665.0,0.76,67.27 +61282,South Korea,2024,Tuberculosis,Metabolic,2.8,7.12,0.96,36-60,Male,822214,50.0,2.0,3.67,Surgery,44848.0,No,88.07,1758.0,4.68,75314.0,0.41,43.1 +61294,India,2001,Leprosy,Bacterial,10.3,4.3,4.0,0-18,Female,330802,55.09,2.24,1.61,Medication,3651.0,Yes,95.8,4920.0,5.5,64171.0,0.86,78.37 +61300,Germany,2014,Measles,Parasitic,17.51,12.55,0.81,19-35,Other,292758,98.81,4.66,2.8,Therapy,6132.0,No,59.19,2772.0,9.76,74357.0,0.81,29.16 +61302,Argentina,2004,Rabies,Genetic,9.84,6.71,0.81,0-18,Other,823922,97.73,1.33,3.75,Therapy,26993.0,Yes,89.53,2148.0,8.88,75695.0,0.62,73.16 +61304,Italy,2000,Alzheimer's Disease,Bacterial,9.31,9.5,9.38,36-60,Other,106298,53.94,4.6,4.42,Medication,35808.0,Yes,89.38,2093.0,0.65,35148.0,0.46,35.12 +61309,Turkey,2017,Tuberculosis,Neurological,4.15,12.81,4.56,36-60,Female,204012,64.24,4.94,3.36,Vaccination,39227.0,No,87.24,3190.0,2.7,88218.0,0.81,62.93 +61314,USA,2022,Ebola,Autoimmune,6.7,3.22,8.05,0-18,Female,724428,89.73,1.04,4.95,Medication,3586.0,Yes,83.56,3056.0,6.28,62799.0,0.73,33.67 +61315,UK,2011,Ebola,Neurological,16.43,3.05,6.26,61+,Other,992193,50.44,2.25,9.41,Vaccination,7320.0,Yes,76.74,1624.0,1.72,6874.0,0.54,80.72 +61317,USA,2007,Hepatitis,Neurological,12.86,5.17,1.77,0-18,Female,86339,63.19,2.48,7.14,Medication,23396.0,Yes,52.03,852.0,5.42,67274.0,0.48,63.04 +61323,Japan,2013,Alzheimer's Disease,Chronic,7.64,8.35,3.25,19-35,Male,263749,54.6,4.49,1.12,Therapy,44585.0,Yes,67.1,1029.0,4.39,12454.0,0.74,21.8 +61324,UK,2020,Malaria,Respiratory,19.49,8.96,6.56,0-18,Male,862186,83.74,4.83,9.02,Therapy,725.0,No,69.73,4300.0,6.32,59367.0,0.88,79.65 +61329,UK,2009,Asthma,Neurological,19.6,10.09,0.97,36-60,Female,50737,85.46,2.99,3.85,Therapy,14849.0,Yes,92.59,3143.0,1.26,36328.0,0.59,28.84 +61330,USA,2000,Malaria,Chronic,4.4,3.37,0.42,36-60,Male,420166,55.78,3.3,5.74,Surgery,4763.0,Yes,84.08,4983.0,5.81,99196.0,0.49,61.73 +61335,Italy,2013,Diabetes,Viral,2.84,0.42,8.96,19-35,Male,973439,51.48,2.88,5.41,Vaccination,24686.0,No,51.93,4407.0,7.61,98796.0,0.53,39.98 +61337,Mexico,2005,Tuberculosis,Chronic,4.56,3.46,5.15,36-60,Male,397040,85.37,1.51,4.12,Surgery,16066.0,No,72.77,3999.0,6.66,30867.0,0.48,44.68 +61344,India,2011,Zika,Bacterial,0.59,9.99,3.09,36-60,Male,418340,60.59,0.73,6.25,Therapy,13894.0,Yes,52.81,742.0,0.32,7350.0,0.49,74.31 +61348,India,2014,Asthma,Infectious,9.36,7.35,1.77,36-60,Other,643469,50.83,3.61,9.11,Medication,12522.0,No,84.33,1356.0,9.5,10517.0,0.7,22.07 +61349,Russia,2009,Rabies,Neurological,7.02,6.69,5.81,19-35,Female,138079,78.31,3.03,4.35,Surgery,30176.0,No,74.83,33.0,2.11,63341.0,0.46,31.71 +61350,Mexico,2014,Influenza,Chronic,17.8,12.2,1.13,19-35,Other,520286,52.38,3.73,3.51,Vaccination,8953.0,Yes,88.19,738.0,3.72,83582.0,0.51,35.94 +61351,UK,2000,HIV/AIDS,Metabolic,0.63,14.44,1.0,19-35,Female,497729,64.8,0.8,4.19,Surgery,29889.0,No,95.79,3008.0,1.45,98965.0,0.68,73.28 +61352,Brazil,2024,Dengue,Infectious,5.75,1.66,9.61,19-35,Male,433485,96.25,2.74,2.27,Medication,5688.0,No,78.14,3450.0,5.77,52408.0,0.54,55.9 +61353,Argentina,2012,Asthma,Chronic,6.0,6.31,0.8,19-35,Female,461317,89.42,3.64,8.23,Therapy,2155.0,No,50.7,1988.0,7.48,64930.0,0.83,69.43 +61354,USA,2000,Ebola,Neurological,3.24,4.36,9.98,0-18,Female,245217,97.78,4.59,1.68,Surgery,39139.0,Yes,78.92,1569.0,7.3,47423.0,0.49,31.06 +61356,Russia,2008,Cholera,Infectious,14.88,9.8,1.78,0-18,Male,488517,83.31,3.04,4.35,Vaccination,18143.0,Yes,95.18,2942.0,3.86,69882.0,0.58,56.63 +61370,Brazil,2003,COVID-19,Metabolic,16.6,2.43,8.63,36-60,Male,698609,99.56,2.74,7.36,Surgery,44448.0,No,59.97,4076.0,0.88,84435.0,0.45,30.97 +61373,Italy,2024,Alzheimer's Disease,Viral,5.5,2.38,0.85,36-60,Male,563482,62.13,3.55,7.38,Vaccination,1869.0,No,51.72,821.0,6.4,77189.0,0.71,30.51 +61381,India,2020,COVID-19,Respiratory,6.26,1.27,3.84,61+,Female,884886,67.89,3.4,2.95,Surgery,27548.0,Yes,93.83,3023.0,6.86,94461.0,0.48,72.9 +61388,Japan,2023,Diabetes,Autoimmune,19.83,2.55,3.25,61+,Male,575734,59.62,3.66,2.77,Surgery,31746.0,Yes,53.59,335.0,5.77,92981.0,0.77,52.28 +61390,India,2010,Dengue,Respiratory,12.85,7.24,7.21,19-35,Other,754860,50.42,3.3,2.98,Medication,28959.0,No,83.26,2472.0,0.65,20912.0,0.57,63.26 +61392,Nigeria,2023,Influenza,Chronic,14.44,11.11,1.13,19-35,Female,828740,82.1,2.75,7.82,Vaccination,47425.0,No,53.89,1584.0,4.61,41173.0,0.64,61.75 +61393,Australia,2022,Hypertension,Neurological,3.9,13.32,3.72,61+,Male,909686,68.29,4.27,4.49,Medication,42684.0,No,66.55,4646.0,5.02,36028.0,0.41,75.2 +61394,Canada,2002,Cancer,Bacterial,2.7,6.94,6.64,0-18,Female,975719,75.89,2.06,8.3,Therapy,20833.0,No,87.19,805.0,4.27,5574.0,0.55,44.85 +61398,Mexico,2006,Alzheimer's Disease,Infectious,9.8,7.43,6.97,36-60,Male,613787,92.97,2.25,3.25,Therapy,43045.0,No,65.13,3187.0,4.72,91674.0,0.56,30.37 +61405,Argentina,2008,Hepatitis,Chronic,2.15,11.81,7.57,61+,Male,61590,58.5,3.11,9.8,Medication,32168.0,Yes,98.33,3487.0,8.18,61216.0,0.81,37.07 +61406,Nigeria,2003,Zika,Chronic,15.51,11.46,4.55,0-18,Other,71873,86.84,3.99,7.42,Surgery,29699.0,No,91.03,2011.0,4.21,76536.0,0.71,87.85 +61415,Australia,2003,Dengue,Bacterial,17.63,1.73,8.54,0-18,Other,595703,69.13,2.41,4.18,Medication,12539.0,Yes,57.37,3436.0,6.25,88958.0,0.69,74.18 +61418,Canada,2001,HIV/AIDS,Infectious,15.82,6.58,2.6,19-35,Other,79273,86.25,4.22,6.11,Surgery,35330.0,No,66.53,1815.0,1.37,82489.0,0.52,44.12 +61420,Russia,2024,Hypertension,Autoimmune,2.7,10.79,6.32,36-60,Other,35379,91.89,0.68,8.39,Medication,25481.0,Yes,71.14,2638.0,1.62,81226.0,0.48,45.13 +61429,Mexico,2009,Ebola,Autoimmune,1.02,3.83,0.83,0-18,Female,477849,73.94,3.09,7.45,Surgery,12327.0,No,69.77,1537.0,3.11,46933.0,0.75,78.05 +61432,Germany,2017,Polio,Genetic,18.25,0.16,7.07,61+,Other,668285,84.34,4.76,9.04,Medication,18005.0,No,76.72,3042.0,3.21,93850.0,0.49,24.85 +61438,Mexico,2021,Zika,Neurological,2.42,10.92,3.09,0-18,Other,767026,91.61,2.09,1.84,Surgery,46026.0,Yes,71.2,4584.0,1.53,91470.0,0.74,83.63 +61439,UK,2010,Asthma,Respiratory,15.53,6.97,0.59,0-18,Male,404490,59.97,3.59,6.38,Therapy,19766.0,No,58.85,1807.0,8.11,34374.0,0.63,55.82 +61440,China,2008,Diabetes,Infectious,15.08,3.27,0.75,0-18,Other,675800,67.94,4.6,3.58,Medication,35046.0,No,88.16,3380.0,9.68,18893.0,0.85,40.82 +61442,Argentina,2017,Rabies,Infectious,8.5,5.42,6.23,36-60,Female,555248,79.42,2.45,8.03,Therapy,44095.0,Yes,54.79,4209.0,2.02,32339.0,0.59,25.16 +61443,Indonesia,2004,Malaria,Infectious,1.61,4.91,6.73,61+,Other,645427,76.86,0.62,3.8,Vaccination,35460.0,No,89.1,2752.0,7.29,79798.0,0.85,75.4 +61448,France,2008,Zika,Bacterial,0.28,12.57,8.14,19-35,Other,353324,92.96,0.88,6.81,Therapy,37588.0,No,98.57,4394.0,4.98,73998.0,0.51,23.98 +61451,Argentina,2022,Alzheimer's Disease,Parasitic,15.61,5.97,1.54,36-60,Female,226720,67.95,1.49,7.41,Vaccination,42084.0,No,98.64,1782.0,4.76,29245.0,0.89,60.43 +61459,China,2000,Cancer,Cardiovascular,16.29,2.04,3.28,36-60,Other,311050,99.39,2.92,9.88,Surgery,9910.0,No,88.48,4611.0,1.52,91930.0,0.58,89.13 +61461,Indonesia,2008,Dengue,Metabolic,8.54,14.69,5.5,61+,Other,180117,82.85,0.95,7.99,Vaccination,36197.0,No,93.21,3389.0,2.12,33128.0,0.85,63.39 +61468,Argentina,2004,Rabies,Infectious,1.83,2.5,6.5,61+,Other,415421,53.3,3.41,9.11,Medication,30031.0,Yes,84.62,4835.0,0.94,58466.0,0.86,57.19 +61469,Canada,2004,Hypertension,Respiratory,10.33,14.79,9.14,19-35,Female,885935,96.94,0.83,4.76,Vaccination,23959.0,Yes,64.51,2715.0,6.15,26762.0,0.87,60.95 +61470,Japan,2019,Rabies,Metabolic,8.41,2.8,6.38,61+,Other,487256,63.26,1.81,5.29,Medication,47798.0,Yes,76.52,866.0,5.71,83535.0,0.58,52.61 +61471,UK,2002,Influenza,Genetic,9.01,4.3,1.3,19-35,Other,718650,81.02,4.52,4.85,Surgery,764.0,No,70.26,3725.0,2.0,81856.0,0.6,89.28 +61473,UK,2016,Polio,Chronic,5.37,2.8,3.97,36-60,Male,750858,56.91,0.6,4.35,Medication,34817.0,No,58.95,2262.0,6.7,31033.0,0.79,40.17 +61483,Turkey,2011,Cholera,Chronic,17.9,5.25,2.52,19-35,Male,985689,60.93,4.66,8.53,Therapy,48743.0,Yes,74.2,3231.0,1.01,93049.0,0.67,49.21 +61484,UK,2017,Polio,Chronic,5.11,10.68,2.12,19-35,Male,550761,73.82,3.03,8.32,Medication,28030.0,Yes,77.25,4723.0,3.48,23439.0,0.88,57.27 +61492,Nigeria,2019,Malaria,Parasitic,6.2,6.63,9.09,19-35,Female,241239,76.45,1.11,7.43,Medication,38142.0,Yes,53.88,290.0,4.88,9169.0,0.42,33.74 +61493,Canada,2008,Dengue,Autoimmune,19.84,6.62,6.32,36-60,Female,375368,64.69,4.26,9.67,Surgery,15192.0,Yes,66.75,160.0,7.8,4931.0,0.49,57.35 +61495,Turkey,2013,Parkinson's Disease,Infectious,19.8,3.12,9.84,19-35,Male,92249,97.87,2.72,8.52,Vaccination,38682.0,No,53.1,3972.0,1.75,64209.0,0.85,57.94 +61505,Indonesia,2003,HIV/AIDS,Genetic,8.5,11.86,1.66,61+,Male,361137,99.16,4.2,4.87,Therapy,4036.0,No,77.53,4029.0,6.15,46518.0,0.72,72.92 +61507,Indonesia,2006,Measles,Respiratory,1.16,3.67,8.72,36-60,Male,715601,83.6,3.72,3.97,Surgery,6670.0,Yes,79.21,3754.0,3.63,41602.0,0.82,51.74 +61512,Italy,2024,Hepatitis,Respiratory,9.69,1.97,8.73,61+,Male,359109,56.49,2.11,6.24,Medication,14331.0,Yes,60.57,2812.0,1.33,8888.0,0.69,21.57 +61513,South Korea,2021,Zika,Metabolic,5.72,14.43,7.69,36-60,Female,838404,76.09,3.8,4.37,Vaccination,14146.0,No,96.12,1903.0,6.29,64131.0,0.44,33.01 +61519,South Korea,2006,Zika,Bacterial,11.3,8.08,0.85,0-18,Male,995125,92.62,2.16,2.5,Vaccination,18949.0,Yes,78.86,3822.0,8.82,23229.0,0.89,71.37 +61521,Russia,2023,Hypertension,Cardiovascular,12.0,3.34,3.42,36-60,Female,825469,69.37,4.27,8.79,Medication,18466.0,No,76.74,1645.0,2.09,64450.0,0.53,46.25 +61523,Germany,2011,Influenza,Infectious,14.11,11.78,9.13,0-18,Other,4078,64.24,0.87,4.49,Surgery,28505.0,No,96.4,4136.0,6.14,60939.0,0.53,29.88 +61526,Brazil,2022,Asthma,Respiratory,19.72,12.73,5.27,61+,Other,295950,93.09,3.89,2.74,Vaccination,49849.0,No,81.76,787.0,7.93,32828.0,0.43,83.17 +61535,Mexico,2006,Parkinson's Disease,Metabolic,12.26,1.74,6.43,0-18,Male,347698,75.76,2.36,7.19,Medication,35416.0,No,54.7,4148.0,8.74,87109.0,0.8,22.41 +61536,Germany,2001,Rabies,Viral,5.39,12.31,5.84,0-18,Male,713502,70.71,4.02,5.37,Medication,9342.0,No,85.51,4960.0,4.9,68466.0,0.8,63.14 +61538,Russia,2014,Cholera,Parasitic,17.02,7.17,2.97,0-18,Female,938432,62.0,3.11,0.82,Therapy,487.0,Yes,94.51,2058.0,5.79,95336.0,0.57,50.99 +61542,Turkey,2013,Hepatitis,Viral,19.19,11.78,0.79,0-18,Other,325868,71.14,1.76,5.12,Medication,2605.0,Yes,77.06,1809.0,4.3,22719.0,0.84,59.43 +61543,France,2001,Malaria,Bacterial,14.58,2.19,8.62,61+,Male,579514,85.43,1.23,4.09,Therapy,38715.0,Yes,88.61,3124.0,6.92,85893.0,0.59,62.89 +61554,South Korea,2008,Hypertension,Cardiovascular,2.12,2.7,5.94,36-60,Male,831926,58.49,3.8,3.46,Vaccination,33010.0,No,77.01,1474.0,9.02,34978.0,0.74,77.31 +61556,Japan,2015,Ebola,Neurological,17.03,2.9,9.25,61+,Female,312408,80.19,4.47,5.93,Therapy,36502.0,Yes,71.54,1281.0,5.92,77446.0,0.69,74.76 +61563,Canada,2000,Measles,Viral,8.18,6.38,2.33,61+,Male,264035,58.81,4.46,1.33,Vaccination,41655.0,No,94.06,3236.0,1.99,22779.0,0.44,58.81 +61576,China,2016,Tuberculosis,Chronic,16.02,4.01,6.13,0-18,Female,164724,69.9,3.31,8.17,Vaccination,24421.0,No,54.87,2592.0,2.02,4628.0,0.5,20.16 +61581,Argentina,2013,Zika,Genetic,1.95,8.71,0.24,19-35,Male,34777,57.04,1.49,2.79,Medication,42807.0,No,92.02,3204.0,4.64,36635.0,0.57,24.73 +61582,USA,2022,Diabetes,Metabolic,14.34,6.6,1.77,19-35,Male,936334,69.59,1.16,3.6,Surgery,21752.0,No,98.25,1781.0,9.7,44556.0,0.54,20.83 +61583,India,2015,Polio,Genetic,8.2,12.26,7.24,0-18,Other,187978,99.69,1.31,5.22,Medication,13907.0,No,85.79,1328.0,9.67,52115.0,0.83,32.18 +61584,Saudi Arabia,2015,Hepatitis,Metabolic,0.81,12.04,2.23,36-60,Other,742189,67.94,1.47,2.67,Vaccination,13922.0,Yes,68.02,3297.0,7.19,27439.0,0.52,26.57 +61589,India,2018,Rabies,Bacterial,11.36,7.03,1.43,36-60,Female,236251,82.59,2.53,3.12,Therapy,26976.0,No,79.21,4691.0,1.21,4793.0,0.84,44.57 +61590,Germany,2006,Tuberculosis,Cardiovascular,1.84,1.38,6.12,19-35,Other,736387,52.4,3.22,0.98,Surgery,9100.0,Yes,63.45,3581.0,8.69,18844.0,0.62,24.33 +61599,Argentina,2018,HIV/AIDS,Viral,14.8,1.08,2.02,36-60,Female,812362,76.64,1.38,0.66,Vaccination,3501.0,No,68.91,4845.0,0.7,6085.0,0.7,61.92 +61602,Argentina,2015,Hypertension,Viral,17.5,8.42,6.34,36-60,Other,312248,82.09,1.25,0.74,Medication,37438.0,No,90.39,4199.0,3.48,25492.0,0.61,39.68 +61605,Japan,2011,Rabies,Bacterial,1.57,1.17,7.51,0-18,Male,383968,92.02,2.49,1.84,Vaccination,15831.0,No,84.97,3921.0,2.52,82683.0,0.75,37.06 +61613,Nigeria,2015,Dengue,Cardiovascular,19.46,5.68,3.18,0-18,Other,241323,66.44,2.84,6.02,Vaccination,39769.0,Yes,97.3,2670.0,8.16,92326.0,0.57,56.05 +61620,India,2010,Dengue,Infectious,18.73,13.97,2.4,36-60,Other,563427,77.58,4.78,5.16,Vaccination,28323.0,Yes,98.6,763.0,6.52,23253.0,0.64,62.57 +61625,Canada,2023,Cancer,Bacterial,19.95,3.81,7.95,0-18,Male,919523,74.65,3.59,3.47,Therapy,35476.0,No,96.83,4862.0,5.55,20561.0,0.72,26.12 +61627,UK,2018,Dengue,Respiratory,3.97,8.55,5.5,36-60,Other,631405,55.19,3.68,3.03,Vaccination,19991.0,No,82.24,3722.0,1.97,10162.0,0.76,76.75 +61628,UK,2001,Leprosy,Neurological,13.03,12.78,4.14,0-18,Other,722053,54.82,3.6,3.61,Medication,41535.0,No,79.64,3930.0,6.23,57563.0,0.69,73.28 +61636,Canada,2022,Measles,Neurological,3.67,9.48,5.75,61+,Female,632427,91.02,4.92,8.84,Therapy,46079.0,No,98.27,480.0,4.85,64457.0,0.54,49.61 +61638,South Africa,2012,Leprosy,Respiratory,1.46,4.2,7.41,61+,Female,996207,56.3,2.78,7.94,Medication,167.0,No,63.72,432.0,2.33,69850.0,0.5,34.1 +61640,Indonesia,2015,Ebola,Infectious,2.77,4.11,5.1,19-35,Female,2162,54.46,0.78,3.3,Surgery,8693.0,No,62.86,1754.0,3.0,40779.0,0.48,88.38 +61646,Italy,2018,Cholera,Bacterial,8.61,8.93,5.66,61+,Female,458970,71.0,0.97,3.33,Medication,41104.0,No,87.61,654.0,3.08,73980.0,0.43,58.29 +61649,Australia,2002,Tuberculosis,Infectious,13.6,9.22,6.42,36-60,Other,592973,60.96,3.27,9.63,Vaccination,41330.0,Yes,50.49,1489.0,0.41,37073.0,0.6,76.92 +61654,France,2002,COVID-19,Metabolic,12.71,12.31,0.64,0-18,Other,576345,63.7,3.87,4.75,Medication,21980.0,No,94.96,1127.0,5.98,63083.0,0.58,68.56 +61664,Italy,2011,Ebola,Cardiovascular,13.96,8.94,6.91,19-35,Female,174996,82.05,4.8,2.44,Surgery,44000.0,Yes,87.17,3837.0,9.8,881.0,0.54,26.41 +61665,Brazil,2009,HIV/AIDS,Parasitic,16.43,9.37,3.39,61+,Other,635339,56.75,4.87,3.45,Medication,2052.0,Yes,92.33,4854.0,3.74,63967.0,0.57,41.22 +61668,South Africa,2012,Dengue,Respiratory,12.79,12.08,6.75,19-35,Other,842150,65.14,4.41,1.2,Medication,18324.0,Yes,60.96,1977.0,1.02,6258.0,0.86,81.55 +61670,Saudi Arabia,2008,Alzheimer's Disease,Respiratory,12.89,9.33,6.23,19-35,Male,334318,97.76,2.89,6.64,Medication,19479.0,Yes,51.1,1715.0,4.96,4056.0,0.45,75.74 +61671,Saudi Arabia,2018,Malaria,Viral,4.11,11.67,5.21,61+,Female,452298,85.06,4.56,8.79,Therapy,10084.0,No,57.89,1871.0,9.53,56849.0,0.8,37.14 +61672,Canada,2012,COVID-19,Parasitic,10.74,9.3,5.76,36-60,Other,123661,69.45,0.7,0.56,Medication,36081.0,Yes,74.34,4852.0,8.1,83931.0,0.64,79.64 +61682,UK,2021,Leprosy,Metabolic,5.67,6.05,7.88,0-18,Other,816705,50.5,4.52,7.93,Vaccination,23335.0,No,52.42,3162.0,7.15,25735.0,0.64,46.04 +61683,Russia,2014,Dengue,Autoimmune,15.2,14.9,1.51,36-60,Male,431645,96.79,3.32,4.44,Medication,4083.0,No,67.4,4903.0,5.22,1840.0,0.43,72.84 +61689,South Korea,2016,Hepatitis,Respiratory,3.52,6.23,9.4,0-18,Female,5468,86.37,2.15,4.6,Surgery,44165.0,No,52.87,346.0,7.67,13264.0,0.85,30.35 +61691,USA,2003,Cholera,Respiratory,11.26,5.52,8.41,61+,Male,260992,76.57,2.06,2.52,Vaccination,8818.0,Yes,53.73,161.0,3.41,52659.0,0.49,34.21 +61693,UK,2011,HIV/AIDS,Parasitic,19.12,2.86,6.84,19-35,Male,35159,73.66,3.51,9.14,Surgery,45123.0,Yes,57.12,4192.0,6.23,61963.0,0.52,86.9 +61702,Nigeria,2024,Polio,Neurological,15.64,7.5,9.0,19-35,Other,768352,69.37,2.5,5.0,Vaccination,40347.0,No,58.59,54.0,4.35,55444.0,0.81,77.5 +61709,Australia,2024,Cholera,Cardiovascular,1.15,0.81,9.88,0-18,Female,828069,86.55,2.88,3.24,Medication,21081.0,Yes,59.23,4807.0,2.47,87074.0,0.64,29.81 +61712,France,2022,Influenza,Viral,16.94,11.93,3.63,0-18,Male,946740,66.41,3.18,5.0,Surgery,24825.0,No,65.01,1916.0,2.83,48068.0,0.84,77.28 +61716,Nigeria,2022,Tuberculosis,Genetic,6.6,14.32,3.42,0-18,Male,994787,98.56,1.49,9.39,Medication,38568.0,No,78.76,710.0,9.02,68277.0,0.87,71.24 +61724,South Korea,2000,Parkinson's Disease,Neurological,19.67,7.32,5.66,19-35,Other,204929,72.58,4.44,4.56,Medication,578.0,Yes,87.89,1427.0,3.12,75803.0,0.73,21.99 +61726,Australia,2005,Hepatitis,Parasitic,19.15,2.43,1.81,19-35,Female,334328,68.71,2.52,6.48,Surgery,19982.0,Yes,84.54,955.0,9.96,11533.0,0.57,31.81 +61727,Mexico,2020,Diabetes,Parasitic,12.74,14.61,4.16,36-60,Female,717683,72.09,2.67,8.42,Medication,20037.0,No,93.49,4056.0,5.2,62012.0,0.66,89.8 +61728,South Korea,2019,Tuberculosis,Chronic,2.01,1.19,8.32,19-35,Male,134630,67.17,3.37,4.98,Medication,49424.0,No,84.77,3346.0,8.73,37231.0,0.75,23.06 +61729,Nigeria,2001,Influenza,Parasitic,7.56,7.03,2.7,61+,Male,177237,86.29,2.41,2.65,Surgery,31267.0,Yes,71.85,4668.0,9.24,88862.0,0.5,52.6 +61733,China,2012,Measles,Bacterial,18.2,5.61,9.75,19-35,Male,525183,71.48,3.1,7.3,Therapy,34604.0,Yes,53.34,4455.0,3.37,48545.0,0.48,66.44 +61741,India,2016,Malaria,Parasitic,6.0,12.25,3.71,61+,Male,252918,88.96,4.14,8.47,Vaccination,1765.0,No,78.03,1184.0,8.8,91699.0,0.86,26.97 +61742,Italy,2008,Hypertension,Chronic,3.89,11.73,3.61,61+,Female,956109,68.48,1.03,8.2,Medication,45291.0,No,59.43,1356.0,2.74,42914.0,0.61,22.63 +61754,Argentina,2016,Parkinson's Disease,Respiratory,12.58,14.74,3.38,19-35,Female,705197,53.23,3.34,0.59,Vaccination,20855.0,Yes,94.33,124.0,8.38,36535.0,0.69,42.75 +61757,Japan,2016,HIV/AIDS,Bacterial,2.01,2.74,7.04,19-35,Female,533711,93.81,1.21,5.99,Vaccination,27258.0,Yes,57.24,3323.0,8.62,65543.0,0.82,56.35 +61759,Argentina,2010,Tuberculosis,Metabolic,13.81,5.84,4.22,36-60,Other,913588,75.16,0.54,4.57,Therapy,38003.0,Yes,55.23,2372.0,1.34,93913.0,0.65,41.55 +61769,China,2006,Polio,Neurological,8.6,7.41,7.56,36-60,Other,602697,87.48,2.18,3.19,Vaccination,48068.0,No,62.22,3848.0,8.14,80867.0,0.47,22.68 +61776,France,2015,Measles,Respiratory,1.69,12.77,9.19,36-60,Female,215670,85.14,4.39,7.71,Therapy,25293.0,Yes,71.27,4709.0,2.54,75114.0,0.84,33.55 +61779,Australia,2022,Malaria,Neurological,19.45,12.48,7.5,36-60,Male,290241,96.01,3.74,6.68,Therapy,13827.0,No,88.57,650.0,0.69,91467.0,0.48,37.97 +61786,South Africa,2023,Polio,Bacterial,15.94,6.62,6.54,61+,Female,697310,81.78,3.52,5.54,Vaccination,35914.0,Yes,52.2,1581.0,1.38,89331.0,0.83,64.53 +61787,China,2023,Measles,Bacterial,18.12,13.22,0.51,0-18,Female,359169,88.56,4.24,1.74,Medication,25259.0,No,78.72,958.0,8.69,23694.0,0.41,39.83 +61797,Canada,2008,HIV/AIDS,Respiratory,2.72,0.71,2.64,61+,Female,80875,50.6,2.95,1.81,Vaccination,12398.0,No,57.1,3445.0,5.68,92056.0,0.71,28.18 +61798,Indonesia,2019,Dengue,Genetic,1.43,6.24,9.63,19-35,Other,236225,91.26,2.73,8.58,Therapy,25448.0,Yes,76.26,1330.0,6.8,2174.0,0.45,31.36 +61802,Brazil,2008,COVID-19,Cardiovascular,5.71,6.11,1.33,36-60,Other,379469,73.8,3.26,5.89,Medication,22242.0,No,93.1,1351.0,2.29,51010.0,0.87,72.08 +61810,China,2018,Malaria,Infectious,16.62,11.95,8.34,36-60,Other,873807,71.51,3.22,6.3,Vaccination,13868.0,Yes,94.6,58.0,1.66,56660.0,0.48,65.56 +61820,Japan,2014,COVID-19,Cardiovascular,11.39,0.77,9.12,19-35,Other,480150,84.96,1.2,3.92,Therapy,19230.0,Yes,90.61,53.0,8.58,22059.0,0.76,24.37 +61821,Argentina,2007,COVID-19,Autoimmune,15.68,3.73,3.57,36-60,Other,373950,81.2,0.95,6.81,Vaccination,43106.0,Yes,50.98,3660.0,4.22,35439.0,0.75,40.86 +61828,Russia,2007,COVID-19,Infectious,18.56,13.34,2.85,19-35,Male,54304,68.44,3.29,0.68,Surgery,40881.0,Yes,52.07,2872.0,5.29,94466.0,0.75,34.49 +61839,Brazil,2002,Leprosy,Neurological,0.85,4.48,2.91,0-18,Female,906377,90.95,3.29,5.69,Vaccination,26058.0,No,81.52,4874.0,2.85,42230.0,0.53,81.38 +61853,Saudi Arabia,2015,Polio,Metabolic,19.5,13.76,6.43,61+,Other,107013,96.81,3.21,7.07,Vaccination,13021.0,Yes,86.19,1437.0,7.06,8732.0,0.53,30.96 +61857,Germany,2020,Leprosy,Genetic,7.74,12.32,6.32,61+,Female,665160,99.88,3.66,5.45,Therapy,5235.0,No,83.88,1497.0,2.26,15930.0,0.41,29.86 +61858,South Korea,2011,Zika,Autoimmune,9.26,2.25,8.32,36-60,Female,38266,53.07,3.45,1.23,Medication,33004.0,No,90.46,3631.0,6.15,12428.0,0.54,47.06 +61866,Italy,2000,Cholera,Cardiovascular,1.78,6.57,7.08,19-35,Male,513272,94.08,4.27,2.48,Therapy,49081.0,No,51.27,1295.0,6.12,43127.0,0.53,86.9 +61870,Italy,2018,Hypertension,Metabolic,2.37,0.19,4.42,19-35,Male,308157,61.39,1.05,4.94,Medication,243.0,No,52.76,696.0,6.17,46109.0,0.65,21.5 +61872,USA,2018,Diabetes,Parasitic,2.98,9.84,0.38,0-18,Other,426149,72.42,3.26,1.27,Surgery,8937.0,Yes,64.14,3910.0,6.04,49506.0,0.54,86.56 +61874,France,2020,Hypertension,Neurological,7.77,14.17,0.75,19-35,Male,836933,66.91,1.72,0.71,Therapy,10905.0,Yes,98.72,3814.0,6.71,3159.0,0.45,72.97 +61878,Brazil,2006,Asthma,Neurological,18.71,5.24,1.98,0-18,Female,737175,97.57,4.25,7.26,Therapy,29470.0,Yes,53.91,2798.0,1.03,85595.0,0.6,20.5 +61881,India,2016,Cancer,Parasitic,2.19,7.98,8.41,36-60,Female,836769,51.29,4.55,5.8,Therapy,18810.0,No,96.81,3855.0,4.93,28543.0,0.67,23.34 +61883,Nigeria,2012,Parkinson's Disease,Genetic,2.8,13.33,1.65,19-35,Other,852431,94.27,2.14,1.73,Vaccination,30819.0,No,94.97,4460.0,0.31,39367.0,0.59,53.32 +61889,Germany,2002,Leprosy,Respiratory,2.04,14.5,9.39,19-35,Male,563397,96.17,4.08,4.72,Medication,37775.0,No,75.42,4274.0,5.34,33643.0,0.44,46.3 +61890,South Africa,2024,Hypertension,Cardiovascular,11.15,7.1,9.89,19-35,Other,152014,58.58,1.01,4.77,Therapy,15321.0,No,51.39,1488.0,0.52,60474.0,0.77,36.01 +61893,UK,2017,Zika,Bacterial,10.22,13.66,9.67,36-60,Female,430871,68.13,0.68,5.46,Therapy,21300.0,No,52.91,936.0,3.28,16294.0,0.83,39.81 +61894,Italy,2001,Cancer,Parasitic,9.33,14.16,3.75,61+,Female,763422,60.48,4.47,3.5,Vaccination,2279.0,No,88.0,647.0,2.47,29975.0,0.66,77.76 +61906,Italy,2007,Cancer,Bacterial,6.73,11.52,7.16,61+,Male,807770,55.96,4.27,2.2,Vaccination,40189.0,Yes,67.53,678.0,0.25,12483.0,0.71,23.03 +61907,UK,2013,Ebola,Parasitic,4.71,12.06,8.24,61+,Male,709602,82.69,1.58,8.66,Surgery,18904.0,No,72.85,2847.0,1.14,55113.0,0.72,61.61 +61908,UK,2014,Dengue,Metabolic,5.6,11.67,7.7,19-35,Other,268128,71.67,0.55,6.28,Therapy,14712.0,Yes,65.57,1612.0,6.68,30291.0,0.47,64.72 +61909,China,2020,Hepatitis,Infectious,12.51,5.86,8.07,36-60,Male,6935,83.12,1.85,9.49,Vaccination,21710.0,Yes,60.31,3918.0,8.16,46533.0,0.9,73.77 +61918,Mexico,2003,HIV/AIDS,Infectious,0.2,10.89,4.67,61+,Female,48828,90.29,1.39,8.88,Therapy,6831.0,No,80.78,829.0,0.97,58206.0,0.53,27.27 +61922,South Africa,2001,Asthma,Infectious,8.71,1.96,2.1,61+,Female,993263,93.15,4.76,3.13,Surgery,11595.0,No,65.07,827.0,8.55,76299.0,0.78,51.13 +61927,France,2020,Ebola,Respiratory,12.26,4.43,4.12,19-35,Other,514194,70.62,4.8,7.84,Surgery,45184.0,No,89.64,2430.0,0.24,2251.0,0.77,71.17 +61930,USA,2014,Asthma,Neurological,18.76,8.78,2.07,0-18,Female,997686,84.89,3.65,9.98,Surgery,20610.0,No,93.78,492.0,9.75,61691.0,0.46,47.51 +61931,Mexico,2015,Rabies,Autoimmune,16.82,8.41,2.21,19-35,Male,897920,64.01,0.91,0.88,Surgery,9423.0,Yes,67.74,4795.0,7.16,20637.0,0.47,44.63 +61940,Mexico,2000,COVID-19,Parasitic,1.2,4.06,9.33,19-35,Female,600776,66.97,1.48,1.12,Vaccination,22980.0,Yes,67.07,724.0,2.16,55435.0,0.83,68.86 +61944,South Korea,2005,Rabies,Viral,5.53,13.1,9.93,0-18,Male,781194,88.53,4.44,7.59,Therapy,48798.0,Yes,60.81,4245.0,4.36,51343.0,0.75,86.86 +61950,India,2014,Diabetes,Respiratory,5.52,13.2,8.67,36-60,Other,361716,84.04,3.28,9.49,Surgery,4853.0,Yes,88.84,1561.0,5.83,31663.0,0.85,64.03 +61959,Saudi Arabia,2014,Polio,Neurological,5.99,10.0,0.33,61+,Female,438017,91.37,1.68,6.81,Therapy,16533.0,Yes,84.91,86.0,6.7,46309.0,0.52,51.59 +61967,China,2021,Parkinson's Disease,Chronic,9.71,10.78,1.88,36-60,Other,374732,80.49,2.68,4.09,Medication,26839.0,Yes,89.79,710.0,6.7,75446.0,0.44,46.44 +61969,Canada,2009,Tuberculosis,Parasitic,12.67,3.55,9.37,36-60,Female,294896,99.21,1.91,5.07,Therapy,4896.0,Yes,74.34,410.0,7.5,59589.0,0.73,24.14 +61979,Italy,2019,Hypertension,Parasitic,19.47,4.01,8.96,19-35,Other,367433,55.47,3.14,0.84,Medication,14578.0,Yes,70.3,2507.0,5.46,65487.0,0.76,34.94 +61989,UK,2000,Leprosy,Neurological,3.04,14.82,1.51,0-18,Female,229037,76.97,1.21,2.41,Therapy,22859.0,Yes,79.61,4736.0,4.26,28601.0,0.54,51.95 +61991,Turkey,2020,Polio,Autoimmune,16.38,11.93,9.19,0-18,Other,301076,57.46,2.97,1.8,Therapy,28220.0,No,75.33,4497.0,6.5,75899.0,0.43,52.83 +61995,India,2006,Hepatitis,Respiratory,11.38,7.9,1.76,19-35,Male,527682,96.98,4.1,5.48,Medication,42641.0,No,75.05,4627.0,9.58,36810.0,0.66,43.77 +61997,UK,2023,Polio,Bacterial,17.2,8.02,5.65,61+,Female,614106,64.4,2.2,9.5,Medication,785.0,Yes,63.16,272.0,2.86,14937.0,0.49,46.46 +62000,Indonesia,2013,HIV/AIDS,Cardiovascular,12.81,2.48,2.7,0-18,Female,539073,80.72,3.47,4.05,Surgery,9181.0,No,61.66,2709.0,2.16,17872.0,0.85,70.42 +62001,Nigeria,2002,Cholera,Chronic,12.06,9.2,5.77,36-60,Other,685003,74.0,4.46,3.41,Surgery,46725.0,No,64.26,2203.0,6.43,62228.0,0.75,51.36 +62002,Argentina,2015,HIV/AIDS,Parasitic,12.05,11.99,3.34,61+,Other,902650,70.26,2.77,5.65,Vaccination,15675.0,Yes,77.67,3818.0,7.48,92160.0,0.43,57.53 +62004,USA,2007,Measles,Metabolic,19.63,12.44,5.88,0-18,Other,906422,76.31,3.85,1.31,Surgery,865.0,Yes,57.05,4431.0,8.79,6458.0,0.4,49.73 +62008,Mexico,2010,Rabies,Respiratory,5.79,1.47,0.36,61+,Other,735021,81.07,0.6,4.37,Surgery,43304.0,No,83.37,1100.0,6.95,48402.0,0.58,85.11 +62009,South Africa,2007,Polio,Infectious,15.44,8.34,6.42,0-18,Male,631505,97.1,0.69,2.01,Medication,6803.0,Yes,93.89,4935.0,1.9,17694.0,0.8,82.19 +62016,Japan,2001,Leprosy,Chronic,12.3,8.25,6.55,36-60,Other,308593,95.55,1.53,7.19,Vaccination,3585.0,No,65.97,652.0,2.82,85530.0,0.77,69.2 +62018,Nigeria,2009,Rabies,Chronic,17.49,5.11,9.05,36-60,Other,477836,68.76,4.51,2.79,Medication,48656.0,No,73.12,4138.0,2.0,65921.0,0.66,50.43 +62021,Brazil,2023,Diabetes,Respiratory,2.73,13.74,2.04,61+,Female,841759,52.34,3.17,8.2,Therapy,40230.0,No,88.33,2543.0,4.06,53093.0,0.62,36.38 +62025,Turkey,2013,COVID-19,Cardiovascular,3.49,8.65,9.57,61+,Male,779854,76.39,2.56,2.58,Vaccination,37326.0,Yes,53.48,3972.0,4.97,53282.0,0.51,20.32 +62026,Germany,2018,Parkinson's Disease,Neurological,5.01,5.4,3.55,61+,Male,600496,76.57,2.67,4.42,Vaccination,37665.0,No,72.52,368.0,0.0,83797.0,0.54,23.79 +62034,Japan,2002,Influenza,Metabolic,0.11,13.77,4.28,0-18,Other,853631,96.36,0.87,8.95,Surgery,14281.0,No,86.85,2602.0,5.4,47879.0,0.77,29.84 +62036,China,2012,HIV/AIDS,Bacterial,0.17,1.67,6.08,36-60,Female,664001,98.22,2.4,2.57,Vaccination,46746.0,No,67.89,4137.0,0.04,88386.0,0.7,48.66 +62053,Indonesia,2009,Cholera,Chronic,17.49,9.09,8.45,36-60,Other,364902,75.71,4.97,6.7,Medication,21033.0,Yes,56.77,3602.0,3.02,18014.0,0.44,89.97 +62054,Germany,2001,Cholera,Respiratory,17.94,7.21,8.16,19-35,Female,785807,57.55,2.49,0.77,Medication,22313.0,Yes,70.67,120.0,8.97,82048.0,0.86,61.62 +62055,Turkey,2022,Hepatitis,Infectious,7.63,14.77,3.21,36-60,Female,138752,97.29,2.75,7.56,Medication,12852.0,No,78.68,4851.0,2.02,3775.0,0.72,79.05 +62063,Russia,2016,Alzheimer's Disease,Cardiovascular,16.27,13.69,2.36,61+,Male,411030,55.1,1.82,3.65,Vaccination,28097.0,Yes,77.82,1354.0,1.31,58696.0,0.66,40.13 +62078,India,2011,Diabetes,Metabolic,16.76,4.77,3.9,61+,Male,667561,51.84,1.46,2.7,Surgery,45239.0,No,95.85,3587.0,1.76,39625.0,0.41,28.52 +62089,France,2014,Asthma,Genetic,10.09,12.06,2.43,36-60,Male,563695,65.0,2.84,4.29,Therapy,45238.0,Yes,68.61,3362.0,0.64,65352.0,0.56,48.46 +62095,Japan,2023,Rabies,Bacterial,11.85,6.09,6.8,19-35,Other,146266,79.95,0.84,6.61,Therapy,43143.0,No,70.51,2941.0,4.89,95957.0,0.72,56.7 +62097,Russia,2015,COVID-19,Neurological,13.55,7.81,4.63,61+,Other,224269,50.71,4.46,8.72,Vaccination,16088.0,No,84.14,3664.0,9.34,17004.0,0.7,39.93 +62103,USA,2011,Diabetes,Infectious,2.03,3.95,4.13,36-60,Female,182418,94.38,2.54,9.24,Surgery,6574.0,No,81.15,4252.0,6.65,65551.0,0.66,83.48 +62117,Russia,2001,Tuberculosis,Parasitic,12.31,10.47,6.75,0-18,Male,295830,77.85,2.38,3.31,Vaccination,29597.0,Yes,98.65,3618.0,4.29,46030.0,0.43,40.99 +62119,Italy,2000,Tuberculosis,Chronic,4.25,14.47,4.71,0-18,Male,328546,94.41,2.55,9.11,Surgery,32386.0,No,91.06,1134.0,5.35,62192.0,0.89,66.04 +62121,Nigeria,2012,Leprosy,Infectious,5.97,0.89,0.77,19-35,Other,990531,77.21,2.1,2.49,Vaccination,4388.0,No,96.54,194.0,3.48,62367.0,0.68,36.08 +62130,Turkey,2006,Influenza,Chronic,8.84,8.93,2.27,61+,Female,751186,64.19,4.46,2.61,Surgery,12939.0,Yes,98.19,2234.0,1.89,83110.0,0.65,65.18 +62135,Italy,2023,Influenza,Genetic,11.78,10.65,0.61,61+,Male,807102,59.44,2.08,4.24,Vaccination,39590.0,Yes,97.45,3314.0,7.0,91555.0,0.67,61.68 +62136,Australia,2016,Hepatitis,Chronic,18.55,11.96,8.4,36-60,Female,106237,67.95,3.74,4.85,Surgery,28768.0,No,77.06,3676.0,2.33,79836.0,0.81,20.02 +62138,Japan,2001,Polio,Metabolic,11.4,6.54,7.25,0-18,Female,684469,65.25,0.68,9.51,Medication,13661.0,No,91.5,3221.0,2.7,48441.0,0.9,68.18 +62143,Indonesia,2009,Tuberculosis,Cardiovascular,3.81,5.95,1.16,61+,Other,647711,60.63,1.0,6.68,Medication,40261.0,No,66.1,320.0,3.31,33823.0,0.72,78.6 +62160,Russia,2022,Hypertension,Viral,9.98,0.15,1.03,19-35,Male,894247,92.54,4.38,8.32,Vaccination,18557.0,Yes,88.13,861.0,1.49,85652.0,0.6,28.39 +62161,USA,2004,Cholera,Genetic,7.35,7.28,9.46,61+,Female,293449,50.53,2.87,0.65,Surgery,3073.0,Yes,96.05,4752.0,2.74,64305.0,0.64,43.21 +62163,Japan,2012,Hepatitis,Genetic,2.44,4.03,1.89,61+,Female,399782,75.18,2.03,7.61,Therapy,10579.0,No,52.09,4664.0,9.8,60635.0,0.51,64.12 +62164,Japan,2014,Dengue,Cardiovascular,7.77,12.91,3.49,61+,Female,869061,67.15,0.83,4.47,Vaccination,9468.0,No,85.65,1854.0,8.47,12152.0,0.6,71.12 +62170,Italy,2024,Dengue,Neurological,2.96,10.83,8.87,61+,Male,791924,54.45,3.93,6.94,Therapy,11292.0,No,66.75,3837.0,5.91,62316.0,0.43,33.04 +62171,Turkey,2008,Asthma,Parasitic,5.54,14.82,8.48,61+,Male,733921,81.68,4.67,5.32,Surgery,32164.0,Yes,65.5,1409.0,7.25,5221.0,0.76,30.69 +62173,Mexico,2014,Polio,Neurological,16.1,10.0,7.38,19-35,Male,139858,78.07,2.01,3.31,Vaccination,29270.0,Yes,84.27,1378.0,9.27,4744.0,0.66,27.09 +62175,India,2011,Parkinson's Disease,Parasitic,3.91,11.79,9.29,0-18,Other,924781,81.78,0.84,6.01,Surgery,22122.0,No,62.29,3289.0,5.19,14147.0,0.56,22.2 +62178,Brazil,2018,Dengue,Parasitic,5.57,14.01,5.09,36-60,Female,677240,88.33,0.51,4.1,Medication,41479.0,No,64.76,65.0,5.26,49305.0,0.57,21.01 +62179,Turkey,2008,Diabetes,Chronic,14.85,0.17,7.72,0-18,Female,951628,67.23,1.61,3.51,Vaccination,32649.0,Yes,81.46,1314.0,9.18,86274.0,0.62,24.28 +62190,Nigeria,2015,Parkinson's Disease,Genetic,4.55,4.29,2.88,61+,Female,947157,83.55,2.53,3.76,Medication,32198.0,Yes,90.64,3912.0,5.82,58283.0,0.41,48.55 +62206,South Africa,2016,Polio,Bacterial,14.17,2.36,4.18,0-18,Male,253773,69.93,3.05,4.96,Therapy,32321.0,Yes,80.47,3808.0,6.36,54460.0,0.81,56.82 +62207,Germany,2021,Polio,Autoimmune,12.68,12.32,1.92,61+,Female,861998,71.62,4.45,7.03,Therapy,4978.0,No,56.01,2674.0,1.31,28862.0,0.54,29.21 +62214,Indonesia,2007,HIV/AIDS,Genetic,3.68,7.75,5.6,36-60,Male,154947,75.2,2.86,4.36,Surgery,40993.0,Yes,56.46,1749.0,7.48,45312.0,0.68,73.86 +62215,Indonesia,2007,Hepatitis,Viral,0.16,3.01,5.53,61+,Female,823320,58.26,1.42,2.49,Surgery,12397.0,Yes,56.28,3975.0,6.17,64795.0,0.63,60.45 +62217,UK,2008,Dengue,Respiratory,13.36,14.01,8.68,61+,Other,726024,69.69,2.92,6.28,Therapy,43949.0,Yes,87.56,31.0,5.25,50144.0,0.64,56.29 +62221,Saudi Arabia,2015,Hypertension,Chronic,14.78,13.67,6.46,19-35,Other,703580,93.24,2.47,7.21,Surgery,8713.0,Yes,69.56,2569.0,8.91,8719.0,0.61,82.44 +62229,UK,2012,Cancer,Metabolic,14.46,6.0,1.24,61+,Female,113467,94.16,0.51,7.21,Surgery,29580.0,No,66.83,4354.0,4.96,89531.0,0.87,36.87 +62230,China,2000,Hypertension,Genetic,8.06,11.61,5.91,61+,Female,564756,99.42,4.27,0.85,Vaccination,7806.0,No,71.67,1750.0,6.92,54881.0,0.45,50.6 +62236,Turkey,2019,Malaria,Infectious,3.57,9.26,4.9,36-60,Other,851347,72.44,1.82,5.72,Vaccination,21124.0,Yes,85.44,2827.0,4.76,57325.0,0.54,20.36 +62244,Australia,2019,Rabies,Viral,19.96,1.88,4.35,36-60,Other,755350,57.66,2.24,0.94,Medication,7801.0,Yes,65.38,1456.0,2.82,45317.0,0.47,72.05 +62245,Australia,2003,Zika,Autoimmune,10.53,6.57,0.18,61+,Other,322912,99.75,4.7,1.23,Therapy,11866.0,Yes,93.11,4022.0,6.62,36955.0,0.5,84.02 +62251,Japan,2014,Polio,Parasitic,19.3,11.77,9.53,0-18,Other,105822,58.91,0.67,8.85,Vaccination,40155.0,No,67.12,4479.0,1.94,29154.0,0.84,65.0 +62260,France,2022,Malaria,Chronic,17.86,2.75,8.64,61+,Other,44355,98.38,4.0,1.42,Vaccination,30623.0,Yes,60.5,4692.0,0.35,54367.0,0.6,34.4 +62262,USA,2007,Leprosy,Cardiovascular,5.83,8.02,3.3,0-18,Other,183278,80.37,4.39,7.91,Medication,5733.0,Yes,86.59,3334.0,1.03,5349.0,0.46,80.21 +62264,Mexico,2005,HIV/AIDS,Viral,10.22,1.25,4.75,19-35,Other,777229,77.7,4.75,7.29,Therapy,46751.0,No,91.37,419.0,2.81,64863.0,0.48,85.71 +62265,Italy,2023,Alzheimer's Disease,Autoimmune,9.02,14.83,8.83,0-18,Male,824834,95.03,4.97,3.8,Therapy,10079.0,No,84.7,1435.0,8.24,11840.0,0.72,62.54 +62266,Italy,2001,Cancer,Infectious,11.27,14.15,8.14,19-35,Male,932277,87.04,4.58,1.73,Vaccination,13331.0,No,74.32,4188.0,0.73,72475.0,0.88,69.6 +62273,Russia,2014,Polio,Infectious,17.51,8.9,0.48,19-35,Male,462372,68.05,4.07,5.91,Medication,46565.0,Yes,59.9,1929.0,8.6,10656.0,0.67,36.88 +62274,Saudi Arabia,2013,HIV/AIDS,Metabolic,13.43,9.29,3.04,61+,Male,931334,82.8,4.95,7.13,Therapy,39381.0,Yes,60.41,2515.0,7.85,88400.0,0.87,30.85 +62279,Nigeria,2012,Ebola,Parasitic,2.03,10.76,5.2,0-18,Other,681058,84.49,4.49,6.13,Medication,22556.0,No,97.69,3343.0,9.88,38659.0,0.88,52.46 +62280,Italy,2010,Hepatitis,Parasitic,3.24,9.08,2.16,0-18,Other,150845,62.87,3.04,4.31,Vaccination,38734.0,Yes,57.7,4779.0,2.07,4915.0,0.52,69.85 +62285,South Korea,2016,Alzheimer's Disease,Parasitic,12.21,14.01,2.33,36-60,Other,798653,92.99,1.01,5.97,Vaccination,11481.0,Yes,50.02,1523.0,6.45,12142.0,0.51,29.6 +62288,China,2006,Parkinson's Disease,Cardiovascular,5.79,8.43,6.93,36-60,Female,143855,80.63,3.2,2.63,Vaccination,35971.0,No,76.42,459.0,7.15,48798.0,0.67,48.38 +62289,Turkey,2008,Leprosy,Viral,2.27,11.17,8.93,19-35,Other,528237,61.95,3.95,0.75,Surgery,30380.0,No,97.49,4293.0,2.07,37399.0,0.61,51.1 +62297,India,2020,Cancer,Infectious,8.57,9.39,5.11,61+,Female,200882,60.87,2.16,9.53,Vaccination,25084.0,Yes,72.66,2418.0,4.04,53002.0,0.52,75.01 +62299,USA,2007,Cancer,Chronic,17.14,10.65,6.21,0-18,Other,826111,51.33,4.01,4.63,Medication,39354.0,No,91.35,3551.0,6.82,27615.0,0.59,51.93 +62300,South Africa,2005,Cholera,Infectious,10.93,6.65,2.16,19-35,Female,183501,87.6,0.95,1.66,Therapy,18553.0,Yes,63.73,1218.0,1.13,61613.0,0.9,86.55 +62307,Germany,2010,Cancer,Respiratory,12.45,6.48,3.4,19-35,Male,192115,93.88,3.01,9.75,Surgery,27825.0,Yes,65.88,1416.0,8.84,77629.0,0.49,62.77 +62317,Australia,2017,COVID-19,Autoimmune,2.48,12.08,7.32,0-18,Male,131288,87.91,4.0,5.39,Therapy,48049.0,Yes,50.65,4164.0,5.62,26236.0,0.48,35.52 +62330,Saudi Arabia,2000,Rabies,Bacterial,0.26,9.93,1.48,19-35,Female,649259,84.03,0.91,2.08,Vaccination,28603.0,Yes,64.9,1747.0,3.63,15339.0,0.46,70.44 +62339,Italy,2022,Polio,Viral,3.5,6.94,0.96,61+,Other,524327,71.48,3.1,3.49,Medication,6295.0,Yes,75.86,2011.0,6.58,43945.0,0.86,84.81 +62345,Nigeria,2023,Hypertension,Autoimmune,12.23,4.57,6.27,19-35,Other,164969,91.26,3.72,7.38,Surgery,44278.0,Yes,67.99,1299.0,6.99,2248.0,0.62,82.85 +62347,USA,2017,Rabies,Autoimmune,7.72,8.25,4.1,19-35,Other,708178,65.36,2.34,2.39,Surgery,28943.0,Yes,64.95,4531.0,6.75,86370.0,0.6,69.33 +62348,Brazil,2014,Ebola,Autoimmune,3.86,3.05,3.42,61+,Other,789984,75.25,2.55,8.96,Medication,22178.0,Yes,56.41,2665.0,5.62,67109.0,0.61,87.18 +62353,Canada,2017,Parkinson's Disease,Bacterial,7.88,10.29,8.35,61+,Male,23583,84.13,2.02,7.12,Therapy,30580.0,No,59.75,3817.0,7.3,98139.0,0.48,86.61 +62354,Turkey,2015,Dengue,Metabolic,14.36,6.34,8.66,36-60,Other,948722,56.64,4.27,6.67,Medication,10902.0,Yes,64.03,2569.0,7.71,72837.0,0.81,35.81 +62355,South Korea,2017,Cancer,Respiratory,14.99,14.43,4.47,61+,Other,851980,99.26,1.58,2.12,Therapy,822.0,Yes,79.97,3479.0,6.84,79276.0,0.49,83.39 +62362,Mexico,2009,HIV/AIDS,Parasitic,19.83,3.68,1.89,36-60,Male,560646,72.11,3.2,6.81,Surgery,3025.0,Yes,84.79,3273.0,1.27,13536.0,0.81,63.4 +62368,USA,2012,Measles,Infectious,11.96,3.3,0.81,0-18,Other,237830,67.11,2.1,8.75,Surgery,28998.0,Yes,54.79,3800.0,9.82,3032.0,0.73,67.09 +62371,Indonesia,2017,Influenza,Respiratory,18.61,6.47,4.58,19-35,Female,10147,83.15,1.57,9.78,Vaccination,34292.0,Yes,87.95,1049.0,9.69,16219.0,0.63,33.04 +62373,Nigeria,2020,Cancer,Cardiovascular,2.48,5.84,8.02,61+,Female,707551,79.31,4.35,9.56,Medication,15123.0,No,82.23,3409.0,8.9,58089.0,0.67,67.94 +62384,USA,2000,Influenza,Infectious,13.4,6.2,7.66,0-18,Other,704021,71.03,1.74,6.25,Medication,49973.0,No,87.12,2326.0,4.57,59923.0,0.5,46.42 +62394,South Korea,2007,Leprosy,Genetic,14.54,6.26,5.6,61+,Female,447604,60.56,1.42,4.49,Surgery,49954.0,No,62.59,2603.0,5.3,25826.0,0.88,68.76 +62396,Nigeria,2015,Zika,Infectious,13.12,9.29,7.23,0-18,Other,510131,66.74,4.67,4.92,Medication,41201.0,Yes,62.8,3129.0,8.32,61773.0,0.84,79.67 +62399,India,2013,Influenza,Viral,19.04,3.48,8.12,61+,Other,836922,80.49,1.58,5.55,Surgery,48027.0,No,70.87,1336.0,0.16,67991.0,0.81,41.51 +62405,Russia,2023,Hypertension,Chronic,6.85,8.64,7.51,19-35,Other,308387,66.07,2.07,9.89,Vaccination,25572.0,Yes,72.28,1578.0,2.51,6588.0,0.8,73.86 +62412,South Africa,2019,Alzheimer's Disease,Autoimmune,13.34,4.51,7.3,61+,Male,523126,52.24,1.98,6.41,Therapy,23261.0,No,67.54,1719.0,2.06,17913.0,0.63,40.01 +62418,France,2017,Malaria,Viral,17.24,13.76,7.25,36-60,Female,2817,80.23,4.09,7.28,Therapy,615.0,No,63.42,233.0,5.51,87473.0,0.58,79.57 +62428,Indonesia,2000,Cholera,Cardiovascular,11.67,2.12,4.65,0-18,Female,773958,61.06,2.53,5.74,Medication,18360.0,No,66.32,2163.0,9.4,80712.0,0.77,36.14 +62432,Germany,2009,Measles,Respiratory,18.49,5.34,7.33,0-18,Female,197967,60.54,3.83,3.4,Medication,13690.0,Yes,81.87,719.0,1.94,8244.0,0.62,87.74 +62436,Saudi Arabia,2000,Polio,Infectious,6.08,4.27,8.31,0-18,Female,549852,70.49,1.91,4.92,Therapy,43151.0,No,50.28,39.0,2.01,83813.0,0.69,81.79 +62437,India,2013,Diabetes,Parasitic,16.74,0.5,0.81,0-18,Female,409594,74.16,2.28,2.19,Therapy,44870.0,No,86.95,1748.0,6.54,68484.0,0.8,61.09 +62438,Canada,2009,Measles,Parasitic,16.52,3.97,1.38,36-60,Other,744550,57.16,4.09,1.31,Therapy,23407.0,No,57.49,1369.0,6.75,19153.0,0.79,40.61 +62444,Saudi Arabia,2023,Dengue,Neurological,7.96,0.23,9.99,0-18,Male,381732,85.96,1.42,5.61,Therapy,12640.0,Yes,88.9,2682.0,5.04,83386.0,0.68,52.13 +62450,Canada,2007,COVID-19,Parasitic,10.54,10.49,8.21,19-35,Female,245381,80.02,3.17,1.11,Therapy,15946.0,Yes,59.73,1086.0,7.98,82030.0,0.41,31.49 +62452,Australia,2013,Zika,Bacterial,18.07,11.57,7.38,19-35,Other,981238,91.0,3.12,8.0,Therapy,6747.0,Yes,69.49,3906.0,4.12,11442.0,0.77,27.3 +62467,Saudi Arabia,2007,Dengue,Parasitic,14.84,1.76,6.11,36-60,Other,84488,78.75,4.0,6.05,Vaccination,49008.0,Yes,50.21,3887.0,8.02,91315.0,0.84,48.56 +62471,Australia,2019,Cholera,Metabolic,4.76,3.9,3.03,36-60,Male,334713,85.4,4.28,8.41,Vaccination,10170.0,No,97.04,3728.0,1.78,84847.0,0.86,64.11 +62479,India,2009,HIV/AIDS,Genetic,13.99,5.03,2.35,0-18,Male,918194,76.04,2.48,9.62,Medication,30151.0,No,87.72,255.0,6.61,76213.0,0.76,72.16 +62482,South Korea,2021,Hypertension,Respiratory,11.71,12.99,2.16,36-60,Other,416251,88.88,0.68,8.6,Vaccination,35531.0,No,72.86,3970.0,3.92,35820.0,0.63,77.24 +62497,Indonesia,2016,Ebola,Neurological,2.19,8.23,7.89,0-18,Other,917750,55.62,3.07,3.51,Surgery,9373.0,Yes,72.98,48.0,8.59,51619.0,0.44,78.59 +62498,South Africa,2012,Rabies,Neurological,1.24,3.4,7.26,0-18,Male,714448,57.91,4.07,4.29,Surgery,7041.0,Yes,55.74,3259.0,3.27,89491.0,0.59,65.29 +62508,China,2022,Ebola,Metabolic,17.42,4.73,1.83,19-35,Female,359275,91.33,2.71,1.94,Therapy,41360.0,Yes,75.02,1579.0,6.26,48205.0,0.56,61.81 +62514,Canada,2016,Dengue,Metabolic,14.22,0.48,5.04,36-60,Female,149581,80.58,0.84,3.64,Surgery,43963.0,Yes,52.32,4846.0,8.87,26370.0,0.84,71.83 +62516,South Korea,2004,Influenza,Autoimmune,12.21,2.37,0.64,36-60,Female,567996,77.23,1.49,6.72,Therapy,39207.0,No,92.54,1994.0,6.05,52417.0,0.87,41.23 +62523,South Korea,2018,Measles,Viral,6.81,11.5,1.28,19-35,Male,856263,98.25,4.14,8.0,Surgery,38546.0,Yes,59.85,2262.0,1.68,10031.0,0.89,69.16 +62526,USA,2019,Leprosy,Infectious,12.96,12.5,4.49,36-60,Female,578919,62.49,1.9,2.71,Therapy,32289.0,No,67.89,3066.0,9.11,79255.0,0.45,46.88 +62528,Turkey,2017,Cancer,Cardiovascular,14.78,10.19,5.91,61+,Female,560302,65.18,4.16,4.33,Therapy,3920.0,Yes,58.2,2680.0,2.65,96260.0,0.84,58.39 +62533,South Africa,2009,Ebola,Autoimmune,7.56,6.96,2.11,36-60,Other,670943,73.22,4.65,9.21,Vaccination,14475.0,Yes,57.05,4691.0,6.27,42277.0,0.73,81.77 +62540,USA,2009,Leprosy,Parasitic,15.22,13.7,5.7,36-60,Female,287393,55.0,4.4,8.64,Medication,32496.0,Yes,53.48,1258.0,3.38,76843.0,0.83,58.53 +62543,Japan,2021,Leprosy,Autoimmune,5.82,3.18,4.54,19-35,Female,805039,83.89,4.26,9.25,Vaccination,29194.0,No,53.19,312.0,8.89,94520.0,0.46,42.63 +62544,Brazil,2011,Rabies,Metabolic,8.89,3.02,4.79,36-60,Male,242339,66.71,1.45,9.3,Surgery,27023.0,Yes,62.25,720.0,7.55,80955.0,0.59,48.03 +62549,Canada,2022,Asthma,Metabolic,11.42,13.35,7.81,0-18,Female,132824,97.04,3.0,4.76,Therapy,18151.0,No,68.78,2826.0,8.03,6218.0,0.45,29.64 +62550,Russia,2018,Dengue,Respiratory,16.08,10.07,5.14,0-18,Male,161210,53.03,2.81,3.76,Therapy,11897.0,Yes,66.37,1050.0,6.99,23501.0,0.73,32.29 +62551,Germany,2014,COVID-19,Infectious,2.95,10.52,1.08,36-60,Male,911968,71.09,0.58,1.25,Vaccination,9239.0,Yes,76.01,2090.0,0.66,27849.0,0.59,59.92 +62553,Nigeria,2006,Cholera,Metabolic,18.71,1.5,5.4,36-60,Other,550438,86.8,2.99,5.5,Therapy,40961.0,Yes,60.25,3791.0,6.42,61832.0,0.87,70.6 +62560,USA,2003,Alzheimer's Disease,Autoimmune,1.36,4.93,3.9,61+,Other,76429,52.27,3.22,2.95,Medication,14005.0,No,90.82,4050.0,9.67,3072.0,0.6,26.17 +62572,India,2001,Parkinson's Disease,Bacterial,11.15,6.68,5.65,0-18,Male,794246,73.25,4.93,5.1,Medication,10672.0,No,73.83,2126.0,0.26,14399.0,0.57,34.92 +62574,Argentina,2018,Tuberculosis,Bacterial,9.25,7.27,7.16,0-18,Other,188446,65.89,4.94,6.39,Medication,49625.0,Yes,97.92,1353.0,6.27,15861.0,0.64,68.99 +62576,Saudi Arabia,2005,Zika,Infectious,5.46,11.08,0.77,61+,Female,363383,73.21,0.91,2.5,Vaccination,9443.0,No,76.46,1240.0,1.65,53016.0,0.86,28.36 +62577,Indonesia,2003,Tuberculosis,Infectious,5.18,4.54,4.42,61+,Other,785314,77.69,4.87,3.36,Surgery,49202.0,Yes,74.41,3400.0,8.89,87222.0,0.61,58.43 +62581,Nigeria,2011,Leprosy,Genetic,16.02,1.06,3.67,61+,Other,585868,96.42,2.46,0.9,Medication,25532.0,Yes,82.48,1201.0,1.81,16863.0,0.48,58.21 +62584,Nigeria,2023,Leprosy,Parasitic,16.13,12.71,6.59,0-18,Other,595767,85.06,1.08,3.23,Therapy,7999.0,No,56.99,4865.0,7.66,64747.0,0.43,22.63 +62595,UK,2021,Hypertension,Autoimmune,2.52,13.16,5.01,0-18,Female,487019,51.77,1.68,2.67,Vaccination,5583.0,No,50.83,745.0,1.62,53651.0,0.84,83.56 +62597,USA,2012,Parkinson's Disease,Infectious,15.4,0.23,0.72,0-18,Male,126601,78.11,3.86,7.16,Medication,7652.0,Yes,69.36,2143.0,9.91,59736.0,0.74,72.98 +62606,Russia,2012,Diabetes,Chronic,10.23,7.12,6.33,0-18,Other,338505,94.97,4.03,7.47,Vaccination,46306.0,No,95.11,4035.0,3.03,29052.0,0.57,51.06 +62607,India,2024,Asthma,Bacterial,3.79,9.86,1.14,36-60,Other,105507,72.66,3.93,6.12,Surgery,39719.0,Yes,94.14,329.0,4.44,95576.0,0.69,37.03 +62611,Germany,2018,Parkinson's Disease,Neurological,14.16,7.79,9.4,61+,Female,348365,86.21,2.78,4.25,Surgery,41315.0,Yes,54.56,3478.0,0.24,48395.0,0.4,34.38 +62616,Nigeria,2007,Alzheimer's Disease,Autoimmune,19.01,2.14,6.29,61+,Male,170638,85.44,0.61,8.18,Therapy,29891.0,No,70.69,1938.0,1.6,24581.0,0.88,55.51 +62624,Russia,2010,Zika,Viral,3.68,5.87,8.05,19-35,Male,996687,92.44,3.53,3.17,Therapy,33845.0,Yes,70.49,3449.0,8.6,29173.0,0.49,71.49 +62632,Australia,2003,Hypertension,Metabolic,13.51,0.26,7.56,19-35,Other,924487,61.26,4.13,4.12,Medication,29519.0,No,79.27,3692.0,6.21,73033.0,0.9,47.01 +62633,Germany,2010,Hypertension,Neurological,14.56,5.77,9.31,36-60,Other,407035,97.83,2.06,3.43,Medication,28892.0,No,71.95,3535.0,8.09,9382.0,0.55,77.74 +62651,Japan,2000,Diabetes,Viral,2.25,0.72,3.59,0-18,Female,467589,54.13,4.74,7.91,Vaccination,25866.0,Yes,93.09,4944.0,0.57,22033.0,0.77,62.4 +62653,USA,2016,Measles,Autoimmune,3.58,7.17,3.9,19-35,Male,153348,76.56,4.5,6.66,Surgery,36956.0,No,85.34,3513.0,6.06,8923.0,0.65,55.58 +62654,Mexico,2011,Leprosy,Infectious,8.39,6.46,4.83,0-18,Other,354299,80.3,2.92,1.97,Therapy,35667.0,Yes,67.66,2204.0,9.1,9854.0,0.41,55.48 +62667,Nigeria,2001,Tuberculosis,Parasitic,5.04,8.57,2.04,36-60,Male,621114,71.49,1.8,2.1,Surgery,47436.0,No,87.71,775.0,5.14,59890.0,0.89,27.24 +62668,Turkey,2000,Influenza,Genetic,7.47,5.73,8.24,0-18,Male,585767,88.37,0.87,5.94,Medication,35299.0,No,81.18,1068.0,0.08,38930.0,0.68,59.57 +62669,Nigeria,2003,HIV/AIDS,Autoimmune,7.59,5.1,1.05,61+,Male,562131,68.73,3.96,6.17,Vaccination,46283.0,Yes,82.19,3806.0,5.64,24161.0,0.6,47.62 +62678,Mexico,2024,Hypertension,Viral,15.27,7.62,0.35,61+,Female,3914,57.76,2.06,7.74,Therapy,29844.0,Yes,79.97,3861.0,3.59,91917.0,0.48,29.04 +62683,Canada,2003,Zika,Respiratory,15.29,1.49,6.48,19-35,Female,948730,78.18,4.93,7.45,Surgery,665.0,No,82.2,1166.0,0.01,46709.0,0.85,62.43 +62684,Indonesia,2011,Cancer,Infectious,4.96,4.52,2.68,61+,Male,98498,89.56,3.38,1.63,Therapy,30588.0,Yes,63.1,375.0,4.18,69115.0,0.55,32.47 +62692,Indonesia,2018,HIV/AIDS,Respiratory,7.87,1.58,4.28,0-18,Other,299159,91.86,1.81,5.76,Medication,32165.0,Yes,95.25,724.0,0.62,83956.0,0.71,87.99 +62694,India,2013,Polio,Parasitic,2.74,11.86,4.61,19-35,Female,932966,89.88,2.74,7.98,Medication,25674.0,No,87.01,3562.0,2.87,17051.0,0.89,65.49 +62697,Mexico,2009,Leprosy,Neurological,11.85,3.41,9.01,61+,Male,850951,73.73,1.39,7.58,Medication,35194.0,Yes,74.8,2263.0,3.83,83772.0,0.44,26.88 +62700,South Africa,2002,Cancer,Viral,5.57,0.44,6.4,36-60,Female,825898,87.22,1.23,8.61,Surgery,33163.0,No,53.98,1145.0,8.11,68619.0,0.52,88.3 +62703,Mexico,2011,Dengue,Viral,1.86,13.47,3.65,61+,Other,847227,76.22,2.04,2.41,Medication,31335.0,No,76.94,2863.0,9.83,67949.0,0.43,65.09 +62708,Turkey,2021,Parkinson's Disease,Genetic,0.79,5.33,5.7,61+,Male,337645,55.9,2.94,4.24,Therapy,42918.0,No,82.65,1895.0,3.6,60622.0,0.42,86.19 +62713,Argentina,2010,Ebola,Parasitic,10.41,12.69,4.06,0-18,Female,960131,50.07,3.12,9.28,Medication,5780.0,No,67.39,3366.0,4.12,91985.0,0.71,45.87 +62715,France,2002,Influenza,Metabolic,7.49,14.89,4.16,0-18,Female,511832,87.53,2.41,2.38,Surgery,33485.0,Yes,66.15,1433.0,8.84,44666.0,0.52,63.43 +62725,China,2011,Cancer,Neurological,3.73,13.29,6.58,19-35,Female,351349,63.19,0.62,5.08,Medication,3190.0,Yes,64.88,3765.0,7.33,25955.0,0.9,32.71 +62731,Mexico,2018,Hepatitis,Parasitic,16.66,14.37,4.43,19-35,Male,479524,54.15,1.02,1.45,Vaccination,24642.0,Yes,64.0,1782.0,1.85,44361.0,0.8,48.94 +62732,Saudi Arabia,2000,Cholera,Cardiovascular,0.15,12.87,3.44,61+,Female,365079,59.21,1.89,5.32,Vaccination,12027.0,Yes,88.46,2504.0,7.79,84358.0,0.44,55.41 +62741,Mexico,2017,Hepatitis,Respiratory,4.07,11.15,8.91,0-18,Other,672629,57.31,4.53,9.16,Surgery,42208.0,No,70.01,2765.0,7.42,4708.0,0.63,47.73 +62742,South Africa,2004,Measles,Metabolic,14.48,1.7,0.64,36-60,Female,986983,73.63,3.42,6.95,Medication,6982.0,No,80.79,1066.0,1.98,48057.0,0.61,76.23 +62746,Australia,2009,Polio,Respiratory,5.62,0.5,1.0,0-18,Female,277247,54.41,1.54,8.49,Vaccination,18433.0,Yes,95.29,3257.0,2.98,54803.0,0.71,60.29 +62748,Indonesia,2012,Leprosy,Parasitic,16.96,11.31,1.98,36-60,Male,922079,78.83,3.89,2.78,Surgery,10150.0,No,70.29,38.0,7.92,15024.0,0.53,44.5 +62755,India,2017,Leprosy,Chronic,2.67,14.16,2.25,19-35,Female,979954,62.83,2.32,3.38,Surgery,46382.0,Yes,50.26,4529.0,0.26,62198.0,0.41,26.05 +62760,Nigeria,2018,HIV/AIDS,Viral,5.83,7.6,6.29,0-18,Male,672848,84.24,4.86,7.48,Therapy,29137.0,Yes,97.59,805.0,1.58,85294.0,0.57,24.8 +62761,Brazil,2023,Zika,Infectious,4.56,0.84,0.24,36-60,Female,868242,93.88,1.32,5.19,Medication,33198.0,Yes,52.63,3134.0,2.19,1267.0,0.71,39.92 +62763,China,2010,Zika,Chronic,17.21,3.24,1.56,0-18,Female,440482,84.81,3.13,9.74,Vaccination,7244.0,Yes,94.25,1979.0,3.23,99751.0,0.77,77.35 +62771,Turkey,2022,Leprosy,Infectious,5.15,4.31,5.58,36-60,Male,551785,80.82,1.65,3.86,Surgery,12278.0,No,85.9,280.0,1.25,85013.0,0.48,75.32 +62778,France,2004,Tuberculosis,Autoimmune,12.32,0.66,2.91,36-60,Female,470900,73.43,3.07,4.0,Vaccination,32567.0,Yes,51.23,4562.0,8.1,86129.0,0.43,44.87 +62783,Canada,2006,Influenza,Cardiovascular,18.12,12.38,9.95,36-60,Male,711721,89.55,2.83,9.61,Vaccination,15856.0,No,53.2,2198.0,3.13,83276.0,0.6,64.2 +62789,Nigeria,2002,Polio,Bacterial,9.81,9.97,6.67,61+,Male,274546,98.83,3.06,8.97,Surgery,19929.0,Yes,80.0,4034.0,6.98,63120.0,0.57,64.36 +62790,India,2019,Polio,Viral,15.89,2.5,1.57,19-35,Other,668479,62.06,1.89,6.35,Surgery,13911.0,Yes,64.81,3220.0,4.11,68043.0,0.68,30.34 +62791,France,2010,Rabies,Metabolic,16.97,12.99,1.7,0-18,Other,664775,85.74,0.72,5.67,Medication,33985.0,No,52.7,3629.0,9.93,89698.0,0.49,51.62 +62794,Canada,2008,Malaria,Neurological,10.92,2.62,8.71,36-60,Female,957501,83.35,1.67,1.3,Surgery,41521.0,Yes,91.45,3424.0,5.89,79442.0,0.57,31.12 +62798,Canada,2014,Dengue,Neurological,14.45,5.99,3.62,0-18,Other,171699,97.93,1.21,8.28,Vaccination,2641.0,Yes,84.32,724.0,2.04,8727.0,0.72,28.78 +62800,India,2016,Ebola,Autoimmune,9.41,0.2,1.52,61+,Female,481970,81.68,1.13,6.59,Therapy,10208.0,Yes,60.38,3222.0,1.65,39827.0,0.45,31.04 +62817,Germany,2013,Hypertension,Viral,11.54,12.98,3.3,36-60,Female,538560,71.88,4.04,1.48,Surgery,31650.0,No,52.04,920.0,7.21,11085.0,0.56,55.05 +62823,Brazil,2020,Ebola,Cardiovascular,4.27,11.79,0.54,19-35,Male,892804,81.84,3.31,8.59,Surgery,41394.0,No,90.51,2712.0,0.35,5314.0,0.57,79.14 +62830,Turkey,2023,Tuberculosis,Genetic,11.82,5.83,0.27,19-35,Female,109510,76.15,4.83,3.92,Surgery,34557.0,No,76.17,2585.0,1.49,79217.0,0.57,39.24 +62833,India,2018,Tuberculosis,Autoimmune,10.14,8.17,3.57,0-18,Other,59709,89.13,3.98,6.55,Vaccination,49452.0,Yes,61.16,1202.0,8.12,38498.0,0.69,21.81 +62840,Turkey,2021,COVID-19,Neurological,14.97,11.68,9.17,0-18,Male,807432,72.82,1.62,7.73,Vaccination,28247.0,No,71.46,3700.0,1.96,84706.0,0.54,79.67 +62849,Australia,2019,Cancer,Metabolic,12.19,7.16,7.77,61+,Female,917894,94.81,4.06,3.75,Therapy,31525.0,No,74.42,4747.0,7.03,55726.0,0.44,80.65 +62855,Russia,2007,HIV/AIDS,Respiratory,8.03,1.13,6.37,61+,Other,806059,50.18,1.16,3.19,Medication,16230.0,No,61.41,4444.0,1.89,96601.0,0.87,46.39 +62856,Indonesia,2017,Influenza,Parasitic,11.12,9.64,6.66,0-18,Male,82256,95.65,4.63,1.71,Vaccination,6466.0,Yes,71.79,2177.0,8.02,9977.0,0.55,55.21 +62861,France,2019,Hypertension,Neurological,11.94,10.54,6.37,61+,Male,583202,52.42,1.53,2.82,Vaccination,48484.0,No,51.65,230.0,6.8,45051.0,0.87,63.78 +62862,India,2002,HIV/AIDS,Bacterial,11.14,7.26,0.26,0-18,Other,861579,88.12,1.54,6.99,Vaccination,37724.0,Yes,76.46,2402.0,4.08,22421.0,0.42,31.67 +62868,Germany,2016,Rabies,Neurological,15.38,5.81,8.95,19-35,Male,372391,89.68,3.63,3.51,Medication,1390.0,No,87.3,3851.0,9.23,25699.0,0.58,71.59 +62889,Saudi Arabia,2022,Dengue,Bacterial,3.49,4.03,9.23,0-18,Female,170462,53.03,3.01,0.79,Vaccination,31392.0,Yes,71.24,3526.0,0.01,99904.0,0.71,55.36 +62891,Canada,2012,Malaria,Respiratory,11.62,11.71,6.05,0-18,Female,680671,92.72,3.66,4.22,Medication,17607.0,No,97.8,2786.0,8.4,77466.0,0.87,24.27 +62892,Brazil,2023,Dengue,Respiratory,15.94,11.83,7.61,61+,Other,662819,63.89,4.85,3.69,Vaccination,16275.0,No,84.25,34.0,1.46,25490.0,0.42,87.17 +62893,India,2000,Ebola,Genetic,2.42,13.42,1.75,19-35,Other,551924,53.96,3.84,6.88,Vaccination,20618.0,Yes,51.61,3781.0,1.49,63520.0,0.8,47.14 +62902,Saudi Arabia,2020,Hepatitis,Bacterial,8.49,12.79,3.74,61+,Other,855871,71.26,3.21,7.92,Medication,10104.0,No,82.78,2615.0,3.65,57093.0,0.58,31.76 +62904,Turkey,2016,Diabetes,Metabolic,3.98,8.28,1.02,0-18,Female,818441,81.72,0.63,4.66,Vaccination,23374.0,Yes,86.52,2655.0,8.06,58335.0,0.7,61.57 +62905,Indonesia,2013,Diabetes,Bacterial,17.57,14.17,6.98,19-35,Male,800677,90.48,3.87,2.57,Surgery,34084.0,No,56.96,3518.0,8.26,77974.0,0.81,75.12 +62911,France,2004,Hepatitis,Genetic,7.65,13.31,0.89,61+,Other,753996,60.28,0.65,8.15,Therapy,24184.0,No,82.17,842.0,0.76,86740.0,0.6,86.58 +62914,China,2005,Asthma,Respiratory,12.12,2.21,6.14,36-60,Male,995231,66.65,2.47,8.51,Surgery,4201.0,No,77.5,1326.0,4.21,39312.0,0.88,67.13 +62916,Argentina,2004,Ebola,Viral,8.4,1.21,4.66,36-60,Other,266246,71.08,0.77,4.36,Surgery,48274.0,No,87.78,2219.0,4.45,93423.0,0.86,45.41 +62918,Germany,2021,Malaria,Cardiovascular,6.11,10.77,4.64,61+,Other,991745,81.53,4.67,9.1,Vaccination,34460.0,Yes,61.1,4279.0,5.6,58163.0,0.72,34.22 +62921,Japan,2003,COVID-19,Autoimmune,7.44,6.0,4.02,61+,Other,885573,52.03,2.18,2.37,Medication,25952.0,Yes,71.0,3631.0,2.08,47305.0,0.5,64.71 +62930,Italy,2021,Malaria,Autoimmune,15.11,0.45,9.7,36-60,Other,804314,97.44,4.38,9.37,Surgery,18471.0,No,88.27,3446.0,0.54,31036.0,0.8,55.18 +62933,Brazil,2007,COVID-19,Autoimmune,12.14,3.3,9.45,19-35,Other,258769,87.01,1.5,7.46,Surgery,12515.0,No,59.1,607.0,2.87,30102.0,0.85,56.09 +62938,USA,2017,Cancer,Metabolic,3.58,7.98,7.24,61+,Other,123643,72.2,1.46,4.38,Surgery,43679.0,No,55.71,4592.0,0.5,79964.0,0.62,35.1 +62939,Brazil,2003,Measles,Genetic,15.3,4.03,6.31,61+,Female,481694,67.46,0.54,9.8,Medication,31836.0,Yes,63.68,1953.0,5.49,71006.0,0.48,37.64 +62942,South Korea,2018,Parkinson's Disease,Chronic,7.51,12.91,0.42,0-18,Male,847847,67.09,3.2,5.33,Vaccination,3857.0,No,57.04,2814.0,9.32,78704.0,0.56,21.84 +62945,India,2013,Zika,Cardiovascular,18.15,7.69,1.75,19-35,Male,145824,84.56,1.81,9.12,Medication,12425.0,No,50.39,870.0,2.35,17029.0,0.6,34.5 +62957,Nigeria,2020,Hepatitis,Autoimmune,19.27,1.34,6.73,0-18,Female,12560,58.14,1.0,9.46,Surgery,15555.0,Yes,71.16,4902.0,6.87,2198.0,0.8,43.51 +62962,USA,2015,Asthma,Chronic,14.63,0.54,0.66,36-60,Other,691867,62.23,3.23,9.85,Vaccination,39789.0,Yes,65.94,463.0,7.58,75364.0,0.52,73.25 +62971,Turkey,2023,Measles,Chronic,7.24,7.46,0.6,36-60,Male,478514,68.56,4.77,4.02,Vaccination,47126.0,No,62.75,3826.0,2.09,82958.0,0.86,70.19 +62974,Germany,2010,Dengue,Autoimmune,0.31,8.12,8.41,61+,Other,998484,80.76,1.3,6.94,Medication,25247.0,Yes,59.65,2363.0,7.87,92723.0,0.47,58.25 +62977,Indonesia,2000,Hepatitis,Chronic,6.43,5.1,1.49,0-18,Other,461175,98.73,0.6,8.92,Vaccination,30176.0,No,79.3,1328.0,6.5,36559.0,0.88,49.97 +62989,South Africa,2004,Polio,Genetic,1.36,8.35,4.14,36-60,Female,918299,98.38,3.04,3.17,Vaccination,18054.0,Yes,72.49,2387.0,3.5,30519.0,0.42,43.39 +62991,Argentina,2022,Leprosy,Genetic,15.35,3.25,0.37,19-35,Male,899234,74.9,2.15,1.32,Medication,5639.0,No,70.93,1188.0,9.73,56922.0,0.72,79.54 +62992,USA,2006,Diabetes,Respiratory,2.43,11.26,6.07,0-18,Other,697645,69.05,2.67,4.55,Vaccination,44238.0,Yes,86.98,4576.0,5.6,7217.0,0.41,30.22 +62995,Argentina,2002,Influenza,Genetic,12.79,11.5,6.08,0-18,Male,795918,96.68,3.49,7.7,Surgery,36408.0,No,78.48,231.0,9.13,42712.0,0.43,84.93 +63002,France,2020,Dengue,Neurological,5.17,4.25,9.06,0-18,Female,575952,91.8,2.76,9.49,Vaccination,24099.0,Yes,95.94,4449.0,2.2,56979.0,0.82,86.86 +63012,Italy,2008,HIV/AIDS,Metabolic,7.69,4.76,7.03,0-18,Other,970995,75.0,3.71,3.56,Vaccination,37276.0,Yes,89.44,4502.0,3.56,40792.0,0.72,37.71 +63014,South Korea,2006,Alzheimer's Disease,Cardiovascular,6.02,1.37,1.49,0-18,Other,452705,53.67,2.94,7.29,Vaccination,10251.0,No,58.72,1276.0,0.17,84393.0,0.81,84.83 +63015,Japan,2009,Leprosy,Parasitic,13.1,4.44,1.56,36-60,Female,502327,89.41,4.23,9.18,Medication,3411.0,No,66.53,693.0,2.62,75068.0,0.51,69.65 +63029,South Africa,2008,Polio,Parasitic,3.56,7.69,1.51,0-18,Male,540491,72.52,2.48,0.71,Surgery,12403.0,Yes,97.11,60.0,0.79,49382.0,0.59,38.96 +63030,South Korea,2015,Asthma,Metabolic,9.81,12.64,9.5,36-60,Other,284436,59.44,2.34,0.74,Therapy,15838.0,Yes,57.59,4068.0,1.21,75595.0,0.8,72.38 +63037,Turkey,2002,Zika,Respiratory,3.47,6.08,2.07,36-60,Female,569046,65.79,3.77,3.18,Therapy,13056.0,No,66.62,2416.0,1.31,93772.0,0.42,71.47 +63038,Nigeria,2006,Dengue,Respiratory,0.32,0.91,9.56,61+,Other,561016,89.5,4.15,3.13,Therapy,27084.0,Yes,54.74,494.0,8.35,34126.0,0.5,82.76 +63042,Canada,2018,Influenza,Bacterial,9.2,1.23,1.63,61+,Female,624984,91.12,2.89,4.15,Vaccination,40845.0,Yes,58.12,3115.0,3.14,56058.0,0.48,88.58 +63044,USA,2015,Tuberculosis,Metabolic,9.16,12.86,9.06,36-60,Female,525538,73.18,0.84,7.12,Vaccination,44630.0,Yes,70.0,2014.0,1.16,99520.0,0.63,83.29 +63048,Mexico,2003,Asthma,Autoimmune,15.38,5.34,7.81,19-35,Male,379491,62.95,1.86,5.97,Vaccination,14174.0,Yes,82.08,4497.0,3.43,12800.0,0.76,26.59 +63050,Germany,2014,Zika,Parasitic,9.73,8.89,9.32,0-18,Female,145770,75.79,4.57,4.05,Surgery,46855.0,Yes,53.7,842.0,4.27,76700.0,0.54,70.4 +63060,Indonesia,2002,Influenza,Cardiovascular,2.3,12.31,2.49,0-18,Other,905597,63.06,4.18,9.17,Therapy,14494.0,No,71.27,862.0,8.44,77107.0,0.54,28.61 +63066,Nigeria,2020,Leprosy,Genetic,0.84,6.88,7.64,19-35,Male,569212,63.99,4.06,7.24,Therapy,32911.0,Yes,79.17,2207.0,8.42,65494.0,0.57,71.97 +63068,Nigeria,2016,Hypertension,Respiratory,2.04,1.77,9.85,19-35,Other,262505,61.52,3.66,8.74,Surgery,26119.0,No,74.15,382.0,6.74,77422.0,0.44,52.02 +63070,Argentina,2022,Influenza,Autoimmune,10.21,0.87,5.63,61+,Female,525373,62.49,1.32,2.98,Surgery,30431.0,No,60.85,1759.0,3.23,10191.0,0.69,79.63 +63072,China,2010,Hypertension,Cardiovascular,18.57,1.45,4.95,19-35,Male,418785,67.41,4.56,5.38,Vaccination,36735.0,Yes,88.47,51.0,8.93,96639.0,0.72,22.8 +63079,Germany,2013,Parkinson's Disease,Infectious,4.83,12.49,6.51,19-35,Male,550009,76.4,4.5,2.82,Vaccination,39416.0,No,98.37,3056.0,4.33,36721.0,0.58,82.43 +63080,Canada,2002,Influenza,Parasitic,15.24,10.81,1.5,36-60,Male,585456,50.81,0.74,0.77,Vaccination,15922.0,Yes,91.24,2363.0,8.87,70311.0,0.67,52.32 +63085,India,2011,Dengue,Metabolic,1.93,13.98,1.21,36-60,Other,888708,78.54,3.26,7.29,Vaccination,25077.0,No,59.45,1098.0,8.58,640.0,0.52,38.72 +63094,Mexico,2013,Cancer,Metabolic,16.57,8.12,5.46,61+,Other,918135,86.66,2.29,6.06,Surgery,24914.0,No,76.77,3077.0,5.44,13397.0,0.79,81.9 +63098,China,2021,Hypertension,Genetic,5.47,9.72,0.54,36-60,Female,979719,51.1,1.75,6.73,Therapy,1592.0,No,86.0,1902.0,0.78,2879.0,0.63,75.15 +63110,Canada,2009,Zika,Chronic,13.6,13.88,2.45,19-35,Other,240379,76.23,2.43,9.47,Therapy,25749.0,No,53.04,4785.0,4.51,94052.0,0.87,29.45 +63111,Germany,2011,HIV/AIDS,Autoimmune,14.61,2.93,4.57,36-60,Other,562095,82.63,4.29,7.08,Medication,11342.0,Yes,79.43,1928.0,8.74,59533.0,0.46,27.16 +63115,Russia,2004,Ebola,Parasitic,8.76,3.5,6.02,19-35,Male,667921,88.82,4.4,3.65,Surgery,6961.0,No,67.45,933.0,9.73,64753.0,0.69,55.92 +63116,Japan,2004,Tuberculosis,Viral,16.89,9.53,0.11,0-18,Female,581417,57.87,4.4,3.23,Medication,45121.0,Yes,61.09,1309.0,5.02,83076.0,0.76,20.16 +63122,Argentina,2021,COVID-19,Bacterial,9.63,0.66,8.32,19-35,Other,923267,75.0,3.7,9.88,Vaccination,47886.0,No,51.57,3644.0,0.5,69909.0,0.68,50.08 +63134,Mexico,2012,Asthma,Viral,11.36,6.69,3.44,36-60,Other,6200,79.73,3.1,3.71,Vaccination,27483.0,No,59.56,4044.0,5.69,39815.0,0.46,44.52 +63139,Brazil,2020,Measles,Infectious,15.68,0.81,2.42,61+,Male,904781,63.0,4.49,9.09,Therapy,42230.0,Yes,56.21,3421.0,6.2,73010.0,0.56,32.15 +63147,Canada,2017,Rabies,Cardiovascular,6.65,14.97,7.45,19-35,Male,619663,92.19,4.8,6.38,Surgery,11153.0,No,55.6,4669.0,9.46,45156.0,0.69,56.21 +63148,Nigeria,2009,Zika,Viral,3.95,11.08,7.75,36-60,Female,338808,67.25,4.38,3.3,Medication,47715.0,Yes,50.65,3108.0,7.68,39197.0,0.7,36.21 +63169,Japan,2006,Rabies,Respiratory,5.25,1.97,3.31,19-35,Female,454983,87.11,3.22,0.68,Medication,31896.0,No,83.09,3012.0,9.13,7437.0,0.5,80.05 +63174,China,2023,Measles,Parasitic,12.37,7.44,9.35,36-60,Other,138487,89.37,3.34,7.85,Medication,47589.0,Yes,97.26,4751.0,6.25,9675.0,0.84,21.76 +63176,Australia,2017,COVID-19,Infectious,1.19,13.26,6.21,19-35,Male,498856,92.46,1.28,2.35,Therapy,14907.0,Yes,67.16,2175.0,5.84,64691.0,0.84,51.42 +63180,Indonesia,2006,Rabies,Viral,2.65,0.27,7.6,19-35,Female,575820,83.66,2.04,5.73,Medication,11234.0,No,69.89,619.0,9.92,83652.0,0.88,41.48 +63213,Argentina,2017,Dengue,Chronic,10.92,7.89,0.89,0-18,Male,578489,69.52,4.19,8.42,Therapy,36033.0,No,70.88,2392.0,0.02,95119.0,0.41,55.85 +63218,India,2017,Rabies,Infectious,19.44,0.19,8.8,36-60,Male,118699,90.2,2.88,5.99,Therapy,14480.0,Yes,57.92,3320.0,6.16,15411.0,0.82,67.18 +63222,India,2015,Diabetes,Infectious,14.69,2.5,3.61,36-60,Female,739016,77.26,1.7,1.37,Medication,19745.0,Yes,51.17,2831.0,5.3,34507.0,0.63,41.41 +63233,USA,2000,Influenza,Infectious,8.59,11.95,6.29,0-18,Male,86916,65.87,3.52,1.82,Medication,15034.0,Yes,94.16,2078.0,1.08,3460.0,0.72,67.19 +63234,Saudi Arabia,2009,Malaria,Respiratory,11.5,12.06,1.49,36-60,Other,491673,53.54,4.88,4.09,Medication,1018.0,No,94.3,1886.0,4.2,52391.0,0.63,37.26 +63236,USA,2018,COVID-19,Chronic,19.39,9.18,1.69,61+,Female,144423,70.58,1.28,0.73,Surgery,18675.0,No,72.42,997.0,7.73,24503.0,0.48,72.58 +63243,Nigeria,2010,Rabies,Cardiovascular,9.34,7.3,9.49,0-18,Other,339833,75.67,0.82,3.15,Therapy,26996.0,No,83.1,2825.0,4.37,65191.0,0.45,74.65 +63245,Brazil,2009,Measles,Autoimmune,1.65,8.3,5.99,19-35,Male,8404,54.33,4.47,8.94,Medication,43166.0,Yes,95.93,3340.0,7.5,56665.0,0.83,62.81 +63253,South Korea,2015,Cholera,Neurological,18.04,10.94,1.65,36-60,Female,22354,69.87,2.14,9.72,Vaccination,18650.0,Yes,84.64,4101.0,0.53,46382.0,0.58,39.25 +63257,Russia,2023,Hypertension,Metabolic,8.34,8.06,3.16,36-60,Other,686122,61.69,3.04,7.56,Surgery,8827.0,No,59.24,2137.0,8.54,33452.0,0.41,49.82 +63259,Mexico,2005,Asthma,Viral,7.96,12.55,1.42,61+,Female,935577,90.69,4.98,3.94,Surgery,14813.0,Yes,93.62,2487.0,6.07,63487.0,0.52,32.16 +63260,USA,2023,Tuberculosis,Viral,3.38,1.25,1.93,36-60,Other,417790,62.78,4.76,8.53,Vaccination,46653.0,Yes,83.82,3644.0,0.94,22760.0,0.43,44.73 +63265,Indonesia,2020,COVID-19,Bacterial,16.13,2.82,9.42,36-60,Male,393893,50.51,3.24,3.33,Vaccination,8989.0,No,65.93,3028.0,4.41,87418.0,0.65,63.2 +63268,France,2009,Malaria,Bacterial,19.52,8.44,5.51,36-60,Other,344738,95.89,2.06,2.22,Surgery,33642.0,Yes,86.56,2872.0,7.01,50770.0,0.71,47.02 +63270,Turkey,2017,Influenza,Respiratory,8.77,3.58,0.63,19-35,Other,984534,91.94,2.9,9.06,Vaccination,25188.0,Yes,85.16,632.0,8.02,10340.0,0.82,21.68 +63273,Japan,2005,Asthma,Neurological,14.04,5.41,5.73,19-35,Female,78937,85.8,4.99,4.37,Vaccination,12140.0,Yes,94.87,3505.0,4.45,86426.0,0.86,22.12 +63278,Brazil,2005,Asthma,Bacterial,9.52,7.84,8.67,61+,Female,806176,59.74,2.02,1.73,Vaccination,43391.0,Yes,80.99,4162.0,0.24,64062.0,0.57,70.24 +63282,China,2002,Leprosy,Parasitic,6.1,6.8,7.48,19-35,Other,752845,50.06,0.68,2.78,Therapy,14425.0,Yes,70.17,1149.0,6.1,34829.0,0.55,64.05 +63283,France,2020,Malaria,Neurological,10.47,12.79,3.43,19-35,Male,206811,61.17,4.74,3.82,Surgery,25183.0,Yes,60.63,3383.0,3.79,87174.0,0.53,47.67 +63289,Russia,2007,Dengue,Chronic,1.17,14.91,8.9,61+,Male,358051,52.23,4.7,7.2,Therapy,25472.0,No,73.34,2253.0,2.5,29762.0,0.51,82.74 +63290,Italy,2003,Hepatitis,Respiratory,12.98,12.02,2.49,19-35,Other,217832,67.49,4.36,8.69,Surgery,9774.0,Yes,73.96,420.0,3.6,48476.0,0.76,20.51 +63294,Turkey,2021,Tuberculosis,Infectious,6.97,1.34,0.14,36-60,Male,857386,91.48,4.12,9.32,Vaccination,33438.0,Yes,92.31,415.0,2.46,95110.0,0.67,37.48 +63295,Argentina,2003,Ebola,Cardiovascular,15.5,1.18,5.08,0-18,Female,793471,79.65,2.15,1.79,Medication,29170.0,Yes,93.72,4891.0,7.82,40052.0,0.56,27.44 +63302,Russia,2017,Dengue,Bacterial,14.72,8.42,7.58,36-60,Male,22381,58.08,3.96,4.45,Vaccination,34879.0,No,58.39,3752.0,0.42,33328.0,0.56,36.79 +63303,UK,2023,Zika,Cardiovascular,12.49,6.02,9.56,61+,Other,162505,60.75,3.97,1.9,Therapy,35228.0,No,71.48,4521.0,5.5,79950.0,0.54,20.65 +63306,Brazil,2020,Dengue,Bacterial,7.53,2.08,0.16,19-35,Other,488548,93.94,2.1,5.5,Vaccination,4159.0,No,90.19,1027.0,0.35,80821.0,0.85,50.86 +63307,South Korea,2015,Cancer,Respiratory,8.52,3.82,6.47,19-35,Female,361180,70.94,0.76,8.87,Vaccination,28540.0,No,91.56,4743.0,4.23,88244.0,0.63,83.54 +63308,Saudi Arabia,2009,COVID-19,Cardiovascular,7.58,4.89,2.67,61+,Other,207346,70.56,4.88,8.58,Therapy,14462.0,No,72.79,2177.0,2.1,74427.0,0.68,25.58 +63313,Russia,2024,Hypertension,Viral,6.79,4.5,1.67,36-60,Male,723983,65.65,1.48,8.24,Therapy,20455.0,No,90.8,535.0,5.44,22151.0,0.76,29.6 +63318,Russia,2023,Leprosy,Chronic,8.0,13.67,1.42,36-60,Female,187056,72.96,0.88,9.54,Surgery,22802.0,No,90.57,4631.0,0.61,71616.0,0.73,56.44 +63320,Australia,2012,Ebola,Cardiovascular,13.72,6.57,0.23,0-18,Other,243414,51.83,4.59,9.78,Medication,24829.0,No,81.76,4646.0,8.8,39443.0,0.7,26.22 +63334,Japan,2022,Asthma,Genetic,4.92,8.24,1.46,19-35,Male,278370,83.36,0.65,6.03,Vaccination,43355.0,Yes,84.92,1341.0,8.52,92778.0,0.5,39.73 +63348,UK,2023,Influenza,Bacterial,1.8,5.01,0.83,19-35,Female,827749,98.4,4.96,3.14,Surgery,44810.0,No,97.35,2023.0,6.43,867.0,0.88,24.26 +63354,Italy,2003,Leprosy,Neurological,15.02,11.66,4.11,36-60,Male,638036,57.85,4.63,9.15,Therapy,9711.0,Yes,79.3,3075.0,9.49,63458.0,0.53,47.75 +63361,South Korea,2017,Measles,Cardiovascular,19.26,13.76,3.34,19-35,Other,578270,99.53,4.75,9.36,Surgery,5978.0,Yes,63.52,4468.0,0.95,32991.0,0.53,64.38 +63373,Australia,2009,Rabies,Respiratory,1.96,4.59,1.88,36-60,Other,956876,72.15,4.0,1.08,Vaccination,25616.0,No,55.48,1484.0,7.75,2148.0,0.58,83.57 +63382,South Korea,2021,Hepatitis,Viral,0.95,9.5,0.91,36-60,Other,167893,93.69,3.83,8.88,Surgery,5243.0,No,92.51,3255.0,1.95,23718.0,0.85,51.62 +63383,Mexico,2007,Zika,Cardiovascular,2.8,8.04,8.17,36-60,Female,441960,92.03,4.74,1.51,Medication,29252.0,Yes,98.25,1771.0,0.52,3915.0,0.56,82.98 +63387,Argentina,2024,Asthma,Bacterial,0.84,7.36,2.58,61+,Other,806043,94.22,4.41,4.27,Surgery,36784.0,No,64.07,2600.0,0.21,84313.0,0.77,89.59 +63394,India,2019,Parkinson's Disease,Infectious,4.51,14.3,0.84,19-35,Other,231154,56.66,4.28,6.55,Surgery,22012.0,No,79.39,1051.0,4.12,31439.0,0.86,55.55 +63398,China,2019,Alzheimer's Disease,Respiratory,9.47,10.87,9.42,0-18,Female,567694,87.72,0.76,4.36,Therapy,30773.0,Yes,78.93,3385.0,2.96,39337.0,0.87,77.23 +63401,Australia,2022,Cancer,Parasitic,17.32,8.24,0.88,36-60,Other,221684,53.17,1.4,6.59,Vaccination,8616.0,No,75.46,2806.0,1.93,48225.0,0.64,79.26 +63410,South Korea,2009,Influenza,Cardiovascular,13.33,11.64,2.84,61+,Female,748825,92.22,3.92,0.67,Vaccination,45056.0,No,51.95,1043.0,2.81,49205.0,0.61,60.19 +63422,Italy,2019,Rabies,Bacterial,12.76,0.17,8.53,61+,Other,858177,81.09,2.75,5.7,Medication,7098.0,No,79.45,3975.0,8.67,88250.0,0.76,78.88 +63425,Saudi Arabia,2004,Cancer,Metabolic,16.15,8.59,6.0,0-18,Male,609855,78.72,1.48,1.16,Medication,3158.0,Yes,90.2,236.0,2.77,7839.0,0.59,87.65 +63427,USA,2013,Zika,Neurological,14.0,7.41,8.64,0-18,Female,70216,61.72,2.66,1.12,Medication,41525.0,Yes,74.21,1278.0,0.05,14109.0,0.78,57.15 +63428,France,2007,Alzheimer's Disease,Genetic,14.67,13.84,5.69,36-60,Other,632237,72.55,3.41,4.62,Surgery,18822.0,Yes,85.17,628.0,3.24,43331.0,0.66,72.23 +63431,India,2005,Influenza,Respiratory,17.87,0.4,1.17,36-60,Male,952954,72.9,0.84,4.0,Therapy,26489.0,Yes,71.09,2142.0,2.07,78743.0,0.55,89.99 +63450,Argentina,2019,Measles,Neurological,0.45,6.19,9.23,0-18,Male,121884,84.46,1.37,2.83,Vaccination,46759.0,Yes,95.38,4632.0,1.44,79746.0,0.89,85.74 +63451,Italy,2013,Influenza,Genetic,2.54,2.36,6.29,61+,Male,303339,69.41,1.47,3.65,Medication,48272.0,No,63.02,279.0,0.24,82076.0,0.66,31.08 +63453,China,2016,Hypertension,Infectious,12.13,1.13,6.35,61+,Other,453051,84.84,4.63,1.66,Medication,43695.0,Yes,74.75,1564.0,5.09,89949.0,0.76,78.44 +63460,UK,2006,Alzheimer's Disease,Respiratory,3.65,9.11,5.35,36-60,Female,982449,79.61,1.65,6.49,Medication,39279.0,Yes,74.29,3192.0,3.17,50717.0,0.63,28.47 +63465,USA,2006,Polio,Infectious,5.74,7.85,8.22,19-35,Other,250442,62.07,3.97,6.23,Vaccination,826.0,No,63.4,3034.0,8.06,10725.0,0.54,58.74 +63466,France,2022,Measles,Genetic,2.15,10.94,9.75,0-18,Male,94018,75.19,3.36,8.31,Surgery,4951.0,Yes,73.57,3613.0,9.67,17016.0,0.68,81.21 +63470,Australia,2014,Influenza,Neurological,5.07,13.65,4.55,19-35,Male,472770,59.47,4.3,9.03,Surgery,32362.0,No,85.43,2547.0,3.95,3897.0,0.61,39.34 +63473,Mexico,2014,Influenza,Chronic,19.15,6.28,7.19,61+,Other,36222,97.72,1.36,8.23,Medication,17825.0,No,80.49,2454.0,5.28,76745.0,0.45,52.82 +63478,UK,2024,Tuberculosis,Genetic,17.45,13.24,5.3,19-35,Other,654143,67.08,0.79,4.02,Vaccination,8405.0,Yes,85.34,1515.0,4.11,59454.0,0.72,85.63 +63479,Russia,2022,Alzheimer's Disease,Infectious,13.77,5.55,1.71,19-35,Female,687191,87.24,1.57,6.25,Vaccination,13526.0,No,69.11,3557.0,4.33,31843.0,0.51,22.78 +63481,Russia,2005,Zika,Infectious,4.64,4.87,6.39,36-60,Other,655636,84.36,2.2,2.49,Surgery,8576.0,No,54.94,3030.0,7.0,50528.0,0.47,76.3 +63494,Australia,2011,Dengue,Metabolic,18.25,2.18,8.18,36-60,Female,839733,93.42,2.46,6.36,Medication,48435.0,No,58.4,1894.0,6.85,63478.0,0.75,49.18 +63495,Brazil,2010,Dengue,Metabolic,5.2,14.1,0.82,19-35,Other,212186,86.09,4.07,7.09,Vaccination,42541.0,Yes,92.82,726.0,3.43,23758.0,0.64,72.35 +63500,Australia,2018,Hepatitis,Metabolic,6.44,8.63,7.33,0-18,Male,977628,78.45,4.32,4.94,Medication,10209.0,Yes,79.69,3741.0,2.42,88983.0,0.82,20.78 +63512,South Korea,2017,Zika,Bacterial,3.82,8.9,8.37,19-35,Male,935414,69.69,4.74,3.29,Therapy,5313.0,No,71.12,1522.0,5.01,60210.0,0.8,25.76 +63514,South Korea,2017,Measles,Bacterial,5.55,5.68,5.43,61+,Male,331312,93.61,3.67,1.62,Medication,47618.0,No,80.12,1826.0,0.12,96885.0,0.9,30.3 +63516,Saudi Arabia,2018,Tuberculosis,Viral,16.85,3.31,1.58,0-18,Male,905136,92.66,4.62,1.17,Medication,8716.0,No,91.82,3793.0,7.88,1643.0,0.9,33.17 +63525,Canada,2020,Malaria,Autoimmune,8.75,14.81,3.84,61+,Other,937684,64.28,3.74,3.07,Medication,28722.0,No,50.39,509.0,9.48,34337.0,0.57,31.44 +63529,Brazil,2005,Hypertension,Viral,15.67,0.52,7.38,36-60,Other,22242,58.81,3.79,6.5,Medication,37774.0,Yes,95.64,1720.0,9.32,60744.0,0.52,70.54 +63536,India,2005,Measles,Parasitic,6.38,8.31,9.05,19-35,Other,514969,93.85,1.9,2.37,Vaccination,5893.0,Yes,55.17,3029.0,0.64,41286.0,0.55,22.27 +63538,UK,2013,Hepatitis,Viral,7.66,12.24,4.31,0-18,Female,485975,74.37,3.96,7.75,Vaccination,7663.0,No,83.82,230.0,0.89,5625.0,0.87,89.66 +63539,South Africa,2012,Alzheimer's Disease,Chronic,13.44,14.86,5.57,36-60,Female,451271,89.62,0.96,4.0,Surgery,4379.0,No,84.35,3433.0,2.98,10863.0,0.82,25.99 +63552,South Korea,2015,Cholera,Bacterial,8.29,5.36,4.79,61+,Other,631216,76.91,1.74,3.14,Surgery,16832.0,No,69.98,3556.0,3.47,51344.0,0.8,26.36 +63572,Russia,2012,Parkinson's Disease,Cardiovascular,7.37,11.27,7.79,36-60,Male,470119,73.31,1.42,7.97,Surgery,23333.0,No,82.3,2021.0,3.82,19817.0,0.85,56.05 +63573,France,2017,Diabetes,Viral,15.35,14.9,5.79,61+,Male,920345,82.2,3.48,4.44,Vaccination,42399.0,No,94.46,1937.0,0.17,78953.0,0.47,75.57 +63577,Indonesia,2017,Alzheimer's Disease,Autoimmune,17.99,8.91,0.24,36-60,Male,664798,61.36,4.41,4.08,Medication,377.0,Yes,55.58,2723.0,0.59,26519.0,0.79,25.67 +63580,UK,2001,Rabies,Autoimmune,1.64,3.44,0.14,36-60,Female,468085,89.27,3.43,3.65,Therapy,25038.0,No,56.17,3799.0,1.45,51138.0,0.53,44.67 +63584,Brazil,2000,Zika,Parasitic,7.89,2.56,4.65,36-60,Other,92048,55.93,0.63,2.52,Surgery,20856.0,Yes,92.91,4466.0,7.12,28417.0,0.56,75.77 +63592,UK,2008,Polio,Respiratory,13.88,6.28,1.17,61+,Male,763758,93.1,2.43,3.27,Therapy,28153.0,Yes,52.51,556.0,9.47,39939.0,0.75,35.43 +63594,Nigeria,2019,Rabies,Chronic,14.36,9.82,2.25,36-60,Male,889513,82.32,1.31,7.44,Therapy,17480.0,Yes,56.66,3735.0,6.52,51458.0,0.83,79.49 +63600,USA,2000,Influenza,Metabolic,2.67,14.84,2.27,19-35,Male,417731,94.46,1.53,7.79,Therapy,41553.0,No,95.58,50.0,3.66,40683.0,0.67,86.85 +63603,Turkey,2020,Zika,Bacterial,3.59,2.29,1.47,36-60,Male,570664,59.4,4.76,8.16,Medication,42982.0,Yes,75.72,3409.0,6.5,77399.0,0.78,66.07 +63608,South Korea,2019,Leprosy,Autoimmune,4.93,3.27,4.93,19-35,Female,221652,96.28,4.95,6.8,Vaccination,27267.0,No,73.92,955.0,2.92,63369.0,0.89,66.13 +63630,Russia,2005,Ebola,Viral,2.0,13.37,2.41,0-18,Other,765784,57.11,4.35,5.28,Medication,10412.0,Yes,73.7,2248.0,0.44,19687.0,0.84,24.14 +63632,Nigeria,2022,Tuberculosis,Viral,10.34,14.75,9.48,36-60,Other,255317,67.87,4.14,1.98,Surgery,37489.0,Yes,73.31,3220.0,3.1,9657.0,0.87,52.34 +63636,Saudi Arabia,2012,Dengue,Autoimmune,11.84,11.2,0.76,36-60,Other,139252,67.07,2.73,2.35,Therapy,1343.0,No,64.21,3371.0,1.94,23505.0,0.77,37.61 +63640,Argentina,2002,Cholera,Viral,18.75,10.13,3.85,19-35,Male,636284,67.75,1.69,1.11,Vaccination,7686.0,Yes,71.89,4304.0,1.82,641.0,0.73,28.04 +63641,Saudi Arabia,2020,HIV/AIDS,Genetic,17.79,7.73,2.0,61+,Other,815123,88.85,2.44,2.99,Surgery,8731.0,Yes,70.02,1484.0,3.32,8336.0,0.57,51.29 +63646,Argentina,2005,HIV/AIDS,Parasitic,19.15,11.93,8.28,0-18,Male,834551,63.95,1.26,3.35,Medication,44374.0,Yes,75.33,914.0,1.61,75337.0,0.85,26.5 +63650,France,2008,Influenza,Parasitic,11.85,7.96,4.65,36-60,Male,696974,91.11,0.64,1.34,Surgery,20683.0,No,76.73,1284.0,5.9,76509.0,0.73,50.89 +63657,South Korea,2008,Cancer,Viral,0.7,0.91,7.17,61+,Female,996682,87.37,3.73,0.84,Therapy,11944.0,Yes,52.42,1765.0,2.88,64673.0,0.52,45.82 +63658,Nigeria,2017,Leprosy,Bacterial,6.41,10.03,5.82,61+,Male,717731,64.81,0.69,2.1,Medication,22440.0,No,77.21,4154.0,6.19,34101.0,0.54,75.25 +63669,Brazil,2022,Measles,Genetic,0.77,1.61,4.11,19-35,Male,822572,78.87,2.9,8.15,Vaccination,4442.0,Yes,74.04,2581.0,1.83,64019.0,0.59,68.64 +63672,Australia,2004,Cholera,Neurological,10.55,10.53,9.09,19-35,Male,831740,66.69,3.04,3.72,Vaccination,40313.0,Yes,76.86,863.0,0.93,51667.0,0.42,51.99 +63690,Indonesia,2014,Tuberculosis,Respiratory,15.72,2.61,2.97,19-35,Female,932782,86.93,2.73,8.25,Vaccination,29366.0,No,68.54,3586.0,7.46,21796.0,0.68,55.39 +63714,Japan,2020,Parkinson's Disease,Parasitic,17.42,12.74,4.68,19-35,Other,849792,90.19,4.15,7.28,Medication,42725.0,No,61.63,2450.0,5.54,96750.0,0.79,89.55 +63720,UK,2016,Polio,Metabolic,4.64,4.52,3.14,36-60,Other,819129,54.43,0.79,8.59,Surgery,32689.0,No,73.84,1015.0,3.45,48231.0,0.48,76.5 +63729,Canada,2005,Influenza,Metabolic,7.38,8.12,2.14,19-35,Female,780210,60.21,3.78,6.32,Surgery,46121.0,No,69.53,4889.0,5.03,11417.0,0.88,63.61 +63746,South Korea,2022,Tuberculosis,Autoimmune,3.81,11.49,8.29,61+,Female,922348,75.17,4.09,6.98,Surgery,3834.0,No,73.08,558.0,7.62,23632.0,0.44,50.62 +63748,Russia,2004,Alzheimer's Disease,Infectious,4.44,4.32,9.34,0-18,Other,55823,88.26,1.14,7.3,Surgery,35791.0,No,67.63,113.0,8.0,31427.0,0.43,44.49 +63755,Japan,2006,Ebola,Genetic,11.46,1.47,5.99,19-35,Male,874411,64.82,3.71,4.01,Therapy,19627.0,No,57.66,3519.0,8.66,97634.0,0.65,51.23 +63761,India,2022,Hypertension,Chronic,5.44,8.08,7.01,19-35,Male,492278,90.89,1.21,9.83,Therapy,26488.0,No,66.75,4816.0,2.68,21815.0,0.68,35.79 +63782,China,2014,HIV/AIDS,Bacterial,10.46,9.4,0.33,61+,Male,732118,54.44,3.21,8.31,Surgery,26716.0,No,95.06,3927.0,5.93,40601.0,0.69,69.98 +63783,Japan,2001,Polio,Metabolic,1.43,2.39,2.12,0-18,Other,25906,50.2,3.03,9.27,Surgery,8273.0,No,88.08,66.0,4.34,89265.0,0.82,65.17 +63795,Nigeria,2023,Hepatitis,Infectious,17.01,0.66,4.98,36-60,Female,561561,64.04,2.07,5.66,Surgery,10553.0,No,73.01,2930.0,4.17,52752.0,0.5,66.07 +63800,Indonesia,2011,Asthma,Cardiovascular,3.07,0.33,6.81,19-35,Female,626893,87.53,3.26,1.91,Vaccination,31288.0,Yes,54.16,3003.0,3.8,40153.0,0.42,39.99 +63801,Russia,2005,Ebola,Infectious,4.43,10.78,1.56,0-18,Female,391846,99.05,4.54,8.73,Vaccination,20073.0,No,69.64,1155.0,4.35,89024.0,0.47,75.77 +63802,Australia,2012,Measles,Metabolic,19.93,7.99,7.19,61+,Other,646079,82.89,4.32,3.75,Vaccination,9180.0,Yes,63.99,2776.0,8.35,83339.0,0.57,21.02 +63804,Mexico,2016,Hepatitis,Cardiovascular,4.59,9.47,1.4,36-60,Male,850919,67.98,0.54,5.68,Therapy,36775.0,No,53.02,4738.0,9.55,22021.0,0.74,49.71 +63806,Canada,2019,HIV/AIDS,Parasitic,5.82,7.2,5.02,61+,Male,206035,75.76,3.81,4.49,Vaccination,23876.0,No,66.6,3993.0,7.13,37840.0,0.45,20.99 +63815,South Korea,2022,Cholera,Chronic,12.62,13.07,9.03,36-60,Other,618596,75.62,0.6,3.15,Medication,37955.0,Yes,88.55,725.0,2.99,37883.0,0.56,36.35 +63819,Germany,2011,Hepatitis,Autoimmune,12.76,12.67,1.75,0-18,Other,606292,68.91,2.17,2.9,Medication,27170.0,Yes,83.25,4375.0,5.73,29240.0,0.87,68.53 +63821,Japan,2016,Hypertension,Autoimmune,6.85,1.94,0.46,61+,Female,225622,61.59,2.68,9.69,Therapy,33143.0,Yes,56.12,4408.0,1.52,29539.0,0.41,78.8 +63837,Russia,2007,Influenza,Metabolic,3.62,7.94,6.3,0-18,Male,493177,52.89,2.85,2.88,Surgery,25399.0,Yes,79.43,4946.0,0.04,32869.0,0.53,70.87 +63842,Turkey,2005,Measles,Neurological,19.5,12.24,8.83,19-35,Male,954970,60.96,2.42,7.07,Therapy,38332.0,No,79.27,2294.0,6.45,1529.0,0.63,41.47 +63844,Argentina,2018,Measles,Infectious,2.9,7.32,9.0,61+,Male,787384,62.16,2.31,2.06,Vaccination,25627.0,Yes,88.39,640.0,2.73,36185.0,0.85,30.55 +63851,USA,2022,Hepatitis,Infectious,4.49,2.34,5.2,19-35,Female,675048,85.47,2.72,2.72,Medication,46820.0,Yes,52.33,4894.0,4.09,70275.0,0.88,37.42 +63862,Saudi Arabia,2016,Measles,Respiratory,17.56,2.68,5.71,36-60,Male,792617,65.46,3.11,6.51,Vaccination,36105.0,No,64.97,4160.0,4.49,94488.0,0.66,36.54 +63867,Nigeria,2023,Cholera,Parasitic,18.16,5.85,4.36,19-35,Male,957719,51.61,4.13,5.95,Surgery,31758.0,Yes,98.68,2993.0,4.0,33522.0,0.57,37.04 +63872,South Korea,2018,COVID-19,Infectious,10.69,10.96,2.69,19-35,Other,816737,85.5,4.96,4.57,Medication,40112.0,No,91.22,527.0,7.66,40379.0,0.5,33.48 +63873,Australia,2003,Cholera,Parasitic,18.18,7.6,6.28,36-60,Other,696345,78.52,1.07,9.08,Medication,36811.0,Yes,86.04,4860.0,8.95,30883.0,0.44,33.01 +63885,Nigeria,2001,Alzheimer's Disease,Viral,3.25,0.54,9.68,19-35,Female,852565,64.37,3.53,0.76,Medication,16642.0,Yes,88.44,2348.0,7.57,5935.0,0.54,86.99 +63888,Russia,2011,HIV/AIDS,Parasitic,7.11,3.82,1.76,0-18,Male,407776,77.04,2.82,8.0,Medication,10758.0,Yes,79.41,4407.0,1.51,54899.0,0.56,88.18 +63890,Italy,2000,Measles,Metabolic,12.14,3.38,7.38,19-35,Other,362438,85.72,2.35,3.15,Surgery,38442.0,Yes,79.84,267.0,4.74,92233.0,0.78,65.93 +63893,France,2020,Influenza,Autoimmune,14.32,13.34,3.42,19-35,Male,792521,95.35,0.91,3.4,Vaccination,7018.0,No,84.52,3442.0,9.5,80326.0,0.46,77.82 +63899,Saudi Arabia,2022,Zika,Neurological,7.74,9.38,4.23,36-60,Male,393184,90.72,1.4,5.6,Vaccination,26390.0,No,63.4,122.0,2.67,52095.0,0.44,36.11 +63901,Indonesia,2024,HIV/AIDS,Neurological,14.49,14.81,9.47,19-35,Female,998632,87.65,2.47,7.83,Medication,19925.0,No,70.23,613.0,6.43,43711.0,0.47,43.93 +63904,Indonesia,2009,Cholera,Infectious,8.05,8.91,4.02,19-35,Male,417077,90.52,4.06,3.31,Surgery,29500.0,No,77.68,2089.0,8.0,33890.0,0.76,21.32 +63906,Brazil,2007,Cancer,Genetic,19.32,11.14,3.27,0-18,Female,273460,63.27,4.53,6.52,Vaccination,7664.0,No,85.0,3993.0,2.61,6651.0,0.82,55.43 +63908,Mexico,2012,Asthma,Autoimmune,1.51,11.59,8.92,0-18,Female,940691,65.63,2.34,5.65,Vaccination,5611.0,No,91.74,3077.0,1.97,53151.0,0.76,31.32 +63915,France,2014,HIV/AIDS,Chronic,5.07,14.21,8.33,36-60,Male,88876,64.01,3.11,4.0,Medication,29608.0,Yes,75.97,2503.0,5.28,49545.0,0.44,40.5 +63925,Brazil,2009,Cholera,Infectious,13.11,3.52,2.99,0-18,Female,140069,70.96,2.04,6.79,Vaccination,21983.0,No,74.49,2416.0,0.62,11556.0,0.53,32.54 +63929,Argentina,2017,Influenza,Chronic,9.78,9.49,3.42,19-35,Male,959307,79.93,1.12,3.08,Surgery,18952.0,No,87.34,2686.0,7.95,11446.0,0.52,80.89 +63931,Nigeria,2012,Measles,Parasitic,4.22,7.74,0.84,36-60,Other,161872,92.6,2.17,4.76,Medication,35832.0,No,76.38,509.0,8.05,76786.0,0.88,59.41 +63936,France,2016,HIV/AIDS,Genetic,19.68,12.75,1.57,36-60,Male,949075,99.22,1.65,0.58,Therapy,8030.0,No,91.86,3018.0,3.87,35407.0,0.79,41.45 +63940,South Africa,2004,Tuberculosis,Metabolic,4.29,3.18,6.83,19-35,Female,650486,74.54,0.6,8.67,Therapy,1131.0,Yes,58.29,1159.0,6.91,70844.0,0.46,54.37 +63948,Russia,2006,Measles,Autoimmune,17.72,10.73,8.24,36-60,Female,258608,82.35,3.83,4.88,Therapy,29823.0,No,54.66,4345.0,4.78,83855.0,0.61,52.11 +63952,Australia,2005,Tuberculosis,Respiratory,0.42,3.57,7.11,0-18,Male,320529,51.63,2.24,5.73,Surgery,4773.0,Yes,76.82,1292.0,0.66,10647.0,0.41,23.12 +63957,Germany,2001,Cholera,Autoimmune,12.08,12.97,2.36,36-60,Male,281170,63.66,2.77,7.76,Medication,34379.0,No,79.2,1624.0,4.66,60835.0,0.46,41.6 +63958,Brazil,2000,Parkinson's Disease,Chronic,15.84,9.7,8.58,0-18,Female,828628,84.66,2.68,8.3,Medication,29181.0,No,70.22,2711.0,0.14,32279.0,0.72,60.37 +63961,USA,2001,Zika,Metabolic,15.24,14.93,6.44,19-35,Other,36875,63.57,2.11,4.49,Medication,33285.0,Yes,96.98,3711.0,7.9,88604.0,0.78,26.89 +63969,France,2015,Diabetes,Genetic,7.48,12.76,7.13,0-18,Male,537790,69.83,4.49,9.05,Therapy,31045.0,Yes,71.96,1864.0,6.78,73421.0,0.86,36.24 +63978,USA,2021,Alzheimer's Disease,Bacterial,6.01,6.65,9.64,19-35,Male,755699,72.08,3.1,1.28,Vaccination,36077.0,Yes,97.21,3923.0,0.94,78743.0,0.59,28.89 +63996,China,2000,Diabetes,Viral,11.21,13.17,8.63,61+,Male,161230,78.12,2.48,1.78,Surgery,9174.0,Yes,83.87,2716.0,0.11,9160.0,0.65,86.23 +63999,Germany,2023,Leprosy,Bacterial,2.21,6.89,5.56,19-35,Other,250675,52.44,4.38,5.44,Surgery,7713.0,Yes,97.21,390.0,0.58,52317.0,0.69,31.65 +64000,Canada,2001,Hypertension,Chronic,18.84,6.78,1.26,19-35,Other,98856,59.9,1.51,7.02,Medication,21914.0,Yes,92.33,3595.0,3.24,52570.0,0.9,46.39 +64008,Canada,2004,Alzheimer's Disease,Genetic,15.67,10.6,1.01,0-18,Other,743388,77.32,3.95,2.29,Therapy,46278.0,No,59.82,2319.0,9.74,75318.0,0.48,38.88 +64010,Italy,2023,HIV/AIDS,Bacterial,1.95,12.34,0.89,61+,Other,844848,61.14,2.93,0.98,Therapy,3259.0,No,92.33,1500.0,9.83,72373.0,0.86,50.71 +64011,China,2014,Measles,Autoimmune,12.18,10.38,1.8,0-18,Female,929188,50.76,0.55,5.67,Surgery,1936.0,No,81.07,3838.0,9.36,84479.0,0.51,28.77 +64016,Argentina,2007,Leprosy,Neurological,7.13,14.89,2.87,36-60,Other,215509,88.71,1.71,4.61,Medication,22296.0,No,51.66,4791.0,3.63,67987.0,0.49,22.13 +64019,Argentina,2008,Measles,Neurological,7.49,13.93,1.62,61+,Other,123584,85.54,1.07,2.25,Medication,31794.0,No,79.05,514.0,2.38,35831.0,0.51,58.89 +64035,India,2001,Tuberculosis,Bacterial,1.14,0.57,5.65,61+,Male,509563,94.93,3.56,4.59,Vaccination,37899.0,No,98.85,4816.0,4.97,12795.0,0.42,77.03 +64037,Mexico,2007,Cancer,Infectious,17.7,12.5,1.13,0-18,Female,174128,88.76,0.9,4.91,Therapy,23983.0,No,92.22,790.0,6.0,38558.0,0.71,39.55 +64039,Japan,2019,Dengue,Respiratory,18.8,5.82,8.15,61+,Male,7355,98.93,1.05,5.32,Surgery,4467.0,Yes,79.44,551.0,0.78,60930.0,0.53,26.1 +64046,China,2010,HIV/AIDS,Neurological,13.51,8.62,1.11,61+,Female,341202,56.92,2.44,7.41,Surgery,12342.0,No,83.33,4945.0,0.12,46831.0,0.55,80.71 +64048,France,2000,Parkinson's Disease,Viral,11.57,3.9,8.93,61+,Female,159796,73.1,1.23,5.34,Vaccination,5034.0,Yes,83.21,3278.0,5.93,44051.0,0.52,81.31 +64050,USA,2009,Ebola,Respiratory,15.37,9.47,3.6,0-18,Female,185149,75.04,1.66,3.37,Medication,21766.0,Yes,72.31,1467.0,6.65,36385.0,0.54,32.57 +64052,Indonesia,2003,Dengue,Parasitic,19.8,6.88,8.42,61+,Male,153231,69.81,4.98,8.01,Therapy,36397.0,No,54.8,4742.0,4.52,32388.0,0.47,35.31 +64058,Nigeria,2022,Malaria,Autoimmune,4.06,8.46,3.3,36-60,Other,236113,90.64,1.75,2.14,Vaccination,48098.0,No,83.84,3093.0,9.53,17862.0,0.57,59.99 +64063,Canada,2013,Alzheimer's Disease,Infectious,5.64,10.46,8.47,61+,Male,162552,92.34,1.54,3.62,Surgery,13195.0,Yes,75.19,1251.0,2.64,96008.0,0.5,88.33 +64076,China,2008,Asthma,Metabolic,13.13,2.49,2.0,0-18,Other,322323,53.91,1.97,1.58,Surgery,21839.0,Yes,65.21,201.0,0.8,35180.0,0.64,75.22 +64078,Italy,2024,COVID-19,Parasitic,14.54,7.5,2.05,36-60,Female,986118,69.8,1.77,9.63,Vaccination,28246.0,Yes,50.47,2833.0,6.7,5433.0,0.52,73.62 +64080,South Korea,2018,Leprosy,Neurological,3.85,7.87,2.02,19-35,Male,66283,58.27,4.27,9.88,Medication,13431.0,Yes,87.5,241.0,7.15,25483.0,0.58,43.98 +64085,Mexico,2005,Malaria,Chronic,4.08,4.3,6.92,36-60,Other,527021,57.28,1.3,2.88,Surgery,13703.0,No,57.44,1095.0,0.9,770.0,0.76,84.21 +64088,Mexico,2007,Rabies,Cardiovascular,10.1,1.29,8.18,61+,Male,590476,65.28,2.1,5.09,Therapy,20188.0,Yes,72.09,323.0,1.14,97014.0,0.53,68.17 +64098,Germany,2003,Parkinson's Disease,Genetic,4.3,4.3,4.25,19-35,Female,566516,76.72,3.79,0.56,Vaccination,47309.0,Yes,79.68,583.0,3.92,31954.0,0.72,79.87 +64099,South Korea,2014,Influenza,Neurological,9.64,9.13,5.43,36-60,Female,293990,50.95,4.51,8.04,Therapy,2931.0,Yes,65.81,984.0,3.58,51512.0,0.45,40.18 +64100,UK,2005,Measles,Parasitic,1.63,13.3,8.98,0-18,Male,293721,77.87,1.42,7.32,Surgery,23694.0,No,87.98,1968.0,5.11,76955.0,0.51,35.19 +64105,India,2019,Hypertension,Parasitic,19.95,14.36,4.03,0-18,Male,63049,83.64,2.03,4.75,Surgery,22899.0,No,98.67,366.0,1.27,53107.0,0.76,81.56 +64107,Argentina,2000,Cancer,Neurological,16.52,10.01,8.85,0-18,Other,746789,51.72,2.77,3.94,Surgery,18569.0,Yes,61.54,1202.0,4.62,86013.0,0.54,42.15 +64109,Nigeria,2019,Diabetes,Chronic,4.75,14.28,2.83,19-35,Male,664563,88.61,3.73,7.5,Medication,49834.0,No,52.6,79.0,2.83,49326.0,0.61,53.49 +64112,Italy,2001,Hypertension,Bacterial,19.97,0.52,5.4,36-60,Other,800530,93.07,0.94,1.61,Vaccination,21772.0,No,97.01,1821.0,3.14,42832.0,0.73,40.21 +64118,Nigeria,2003,Cholera,Respiratory,10.27,4.33,9.88,61+,Other,571478,66.44,2.44,2.95,Therapy,16643.0,No,51.48,2741.0,8.51,88812.0,0.57,67.21 +64119,Brazil,2001,Parkinson's Disease,Bacterial,18.7,14.4,1.79,61+,Female,703149,67.77,4.19,7.89,Therapy,27773.0,Yes,75.05,802.0,7.47,2585.0,0.5,83.99 +64122,Argentina,2000,Cancer,Cardiovascular,11.16,1.5,8.49,61+,Male,440679,56.64,1.48,4.63,Medication,11797.0,No,61.26,3428.0,9.85,52678.0,0.65,55.44 +64126,China,2003,COVID-19,Neurological,6.11,5.27,3.16,19-35,Male,520173,74.99,0.53,2.87,Medication,39785.0,No,96.35,1201.0,6.06,48016.0,0.75,79.64 +64131,USA,2014,Tuberculosis,Neurological,6.28,3.81,8.31,19-35,Male,423717,96.37,4.3,2.46,Medication,39356.0,No,82.94,3915.0,8.57,40510.0,0.74,27.05 +64138,Russia,2009,Tuberculosis,Autoimmune,9.38,13.74,8.48,0-18,Female,176655,71.98,3.47,4.98,Medication,41694.0,Yes,62.95,1761.0,2.26,82019.0,0.75,51.76 +64140,Brazil,2022,Hypertension,Genetic,9.43,14.72,1.72,61+,Male,1196,69.82,1.53,2.58,Therapy,29986.0,Yes,79.66,73.0,9.59,56978.0,0.81,45.71 +64141,Nigeria,2015,Influenza,Bacterial,16.68,12.34,0.81,61+,Male,606372,95.06,1.89,5.0,Medication,2524.0,No,50.62,4766.0,2.23,24764.0,0.88,28.15 +64143,USA,2018,Hepatitis,Metabolic,16.41,4.26,9.97,36-60,Other,7653,57.87,4.7,6.7,Medication,29942.0,No,52.04,4362.0,3.63,69525.0,0.56,32.38 +64154,South Korea,2009,HIV/AIDS,Parasitic,12.68,10.09,9.68,19-35,Other,499333,68.09,0.71,6.14,Medication,33307.0,Yes,86.43,1298.0,4.38,57398.0,0.48,25.05 +64158,China,2021,HIV/AIDS,Infectious,5.14,5.0,6.75,61+,Female,345775,53.0,4.22,8.72,Therapy,36267.0,Yes,57.73,3128.0,6.55,8178.0,0.53,63.34 +64159,Nigeria,2004,Parkinson's Disease,Chronic,18.11,14.61,4.62,0-18,Other,230310,80.28,3.28,6.93,Medication,43794.0,No,79.83,2447.0,2.9,35774.0,0.41,65.0 +64166,USA,2007,Cholera,Bacterial,9.0,14.37,8.08,0-18,Other,95446,92.5,1.78,6.1,Medication,1304.0,Yes,98.47,1473.0,1.56,89236.0,0.67,86.26 +64167,South Africa,2005,Asthma,Cardiovascular,7.19,1.18,5.53,19-35,Female,954138,77.78,4.99,6.33,Surgery,12191.0,No,72.88,1484.0,9.62,3452.0,0.73,42.73 +64170,South Africa,2003,Influenza,Genetic,5.76,7.09,6.82,0-18,Female,582932,77.43,1.82,6.25,Therapy,23947.0,No,96.74,4235.0,7.01,61164.0,0.71,41.17 +64176,Japan,2020,Alzheimer's Disease,Infectious,6.07,9.09,2.74,0-18,Other,699115,62.08,3.04,8.68,Vaccination,40851.0,No,79.87,3969.0,3.61,65240.0,0.71,86.38 +64179,Japan,2003,Ebola,Parasitic,12.34,6.93,3.51,61+,Female,107765,75.47,2.53,5.73,Medication,45263.0,No,94.22,1722.0,8.6,43951.0,0.43,60.06 +64183,Turkey,2003,COVID-19,Cardiovascular,8.75,1.36,8.6,36-60,Male,666971,98.7,1.31,4.12,Medication,47665.0,No,80.31,2127.0,6.04,89288.0,0.42,20.72 +64192,Indonesia,2006,Zika,Infectious,11.27,4.44,5.49,61+,Other,810774,63.01,0.85,1.4,Vaccination,46686.0,Yes,53.11,2349.0,9.01,8969.0,0.72,38.14 +64197,UK,2003,Dengue,Infectious,18.71,10.87,3.01,36-60,Male,444364,63.39,2.42,8.09,Surgery,33054.0,No,75.86,748.0,2.55,55561.0,0.58,21.99 +64205,Japan,2004,Leprosy,Viral,4.87,10.28,9.86,36-60,Other,616736,92.49,3.19,8.39,Medication,17437.0,No,88.63,4994.0,4.64,58572.0,0.49,49.85 +64206,South Korea,2023,COVID-19,Metabolic,1.26,11.22,4.5,36-60,Other,99461,50.16,4.44,0.76,Surgery,16084.0,Yes,85.38,1677.0,8.27,55156.0,0.55,81.21 +64207,Indonesia,2001,Rabies,Neurological,18.91,1.86,7.46,19-35,Other,661936,79.44,1.83,4.55,Vaccination,26845.0,No,56.26,2800.0,1.59,40859.0,0.66,30.67 +64212,Turkey,2001,Cholera,Genetic,12.77,8.77,2.45,36-60,Male,432163,66.19,4.63,4.39,Therapy,49401.0,No,66.08,3229.0,0.44,92046.0,0.54,70.69 +64225,Saudi Arabia,2008,Parkinson's Disease,Autoimmune,12.77,4.79,6.06,0-18,Male,187913,56.93,3.74,5.24,Surgery,3590.0,Yes,95.21,2031.0,7.22,43056.0,0.51,33.64 +64229,Australia,2006,Cholera,Respiratory,0.36,2.01,4.1,61+,Male,283745,68.07,4.48,0.61,Vaccination,8735.0,Yes,66.16,3557.0,7.84,43259.0,0.63,72.9 +64231,Germany,2014,Ebola,Bacterial,4.86,6.82,0.3,0-18,Male,330027,72.69,0.67,1.86,Medication,43353.0,Yes,52.24,4403.0,9.64,59135.0,0.4,85.89 +64234,South Korea,2008,Rabies,Genetic,8.97,4.81,8.63,0-18,Female,97370,88.96,2.38,1.43,Vaccination,17723.0,Yes,65.64,1858.0,6.43,53590.0,0.64,54.45 +64235,Japan,2012,Hepatitis,Respiratory,1.87,9.93,1.21,19-35,Female,119229,91.04,3.16,1.71,Medication,43311.0,Yes,95.81,3664.0,9.94,9469.0,0.52,64.35 +64249,South Africa,2003,Cholera,Chronic,4.14,12.57,8.77,19-35,Male,412737,87.73,2.75,8.84,Surgery,49348.0,Yes,84.05,3992.0,1.38,36405.0,0.59,49.2 +64253,Nigeria,2019,Malaria,Genetic,12.57,6.14,7.36,19-35,Male,74395,51.88,1.39,4.39,Vaccination,30873.0,Yes,55.15,872.0,6.09,47043.0,0.55,33.42 +64259,Brazil,2017,Diabetes,Neurological,0.28,10.29,5.66,36-60,Female,433783,70.81,2.37,0.74,Vaccination,15340.0,Yes,70.8,150.0,2.54,55966.0,0.59,45.88 +64260,South Korea,2020,Asthma,Genetic,4.72,8.73,3.82,36-60,Female,236895,84.63,3.21,4.69,Medication,2235.0,No,95.89,1328.0,4.67,21349.0,0.45,37.58 +64262,Saudi Arabia,2009,Leprosy,Autoimmune,11.03,7.42,1.88,36-60,Female,286750,76.22,1.46,8.01,Therapy,43942.0,Yes,68.39,3227.0,6.68,30688.0,0.87,71.76 +64263,China,2000,Zika,Chronic,13.12,1.94,1.49,0-18,Male,487859,79.61,0.67,9.35,Medication,10598.0,Yes,89.06,2605.0,2.19,79560.0,0.88,84.99 +64264,USA,2019,COVID-19,Parasitic,12.28,7.34,8.21,61+,Female,421474,58.83,4.64,7.0,Medication,35324.0,No,96.99,2805.0,1.69,43225.0,0.43,81.56 +64269,USA,2013,HIV/AIDS,Neurological,11.66,12.55,4.58,0-18,Male,732600,78.57,4.81,4.58,Therapy,7545.0,No,71.46,4463.0,4.71,25901.0,0.63,68.82 +64271,India,2006,COVID-19,Genetic,11.86,0.36,5.35,19-35,Male,66652,80.41,4.26,4.17,Surgery,37354.0,Yes,51.35,2154.0,3.98,59304.0,0.85,53.17 +64272,Nigeria,2009,Asthma,Genetic,4.02,1.12,7.58,19-35,Other,280928,85.12,4.88,9.74,Medication,9147.0,No,79.29,3424.0,3.1,75224.0,0.47,73.18 +64276,Russia,2010,Leprosy,Parasitic,0.35,11.23,4.48,19-35,Other,243916,97.84,2.16,1.8,Medication,27414.0,No,77.42,1921.0,7.57,28640.0,0.84,67.8 +64279,Nigeria,2018,Dengue,Autoimmune,6.62,9.62,5.54,36-60,Male,153119,62.03,1.03,0.65,Vaccination,28139.0,No,67.25,4019.0,2.02,78163.0,0.44,43.8 +64282,Italy,2013,Malaria,Viral,1.66,13.48,7.01,36-60,Other,157582,65.35,3.14,8.2,Therapy,915.0,Yes,63.77,1138.0,8.19,81362.0,0.42,58.13 +64301,South Korea,2003,Hepatitis,Neurological,6.76,12.87,3.17,61+,Male,885069,64.42,3.25,9.1,Vaccination,15761.0,No,62.33,4380.0,6.67,44487.0,0.57,63.32 +64303,Japan,2015,Polio,Genetic,9.99,2.25,5.72,0-18,Female,236133,74.58,3.69,5.38,Surgery,17776.0,Yes,69.85,1115.0,4.99,64833.0,0.88,32.26 +64309,India,2005,Cholera,Infectious,17.49,13.73,4.4,19-35,Other,761140,71.85,1.51,7.91,Therapy,45929.0,No,70.49,4976.0,5.87,98825.0,0.55,88.64 +64312,China,2007,Tuberculosis,Parasitic,4.09,0.59,3.69,0-18,Female,281351,68.62,2.37,8.48,Surgery,26725.0,Yes,72.54,805.0,9.26,53983.0,0.56,73.71 +64326,USA,2003,Parkinson's Disease,Respiratory,14.72,5.27,4.43,0-18,Female,115553,58.05,1.86,2.7,Vaccination,4335.0,No,57.43,4154.0,8.8,51382.0,0.89,57.99 +64329,Italy,2005,Tuberculosis,Autoimmune,2.84,9.72,7.98,61+,Other,50537,88.88,2.55,8.82,Vaccination,16292.0,Yes,60.95,2089.0,2.83,23543.0,0.77,77.85 +64331,China,2015,Cancer,Bacterial,12.05,13.57,4.88,19-35,Other,535393,64.48,5.0,3.27,Therapy,20296.0,No,96.18,4957.0,3.75,86529.0,0.72,53.89 +64336,South Korea,2006,Zika,Cardiovascular,4.47,9.79,7.37,36-60,Other,461841,76.34,1.27,2.11,Surgery,15000.0,No,91.69,3198.0,4.89,59044.0,0.76,21.33 +64340,Italy,2023,Leprosy,Neurological,11.3,7.2,2.05,61+,Male,72210,80.45,3.43,6.03,Therapy,15940.0,Yes,76.3,311.0,4.09,83588.0,0.77,39.3 +64344,Mexico,2023,Tuberculosis,Genetic,4.64,0.38,7.17,0-18,Other,262173,67.07,4.25,1.37,Surgery,31306.0,No,64.58,5000.0,8.09,82920.0,0.88,82.78 +64349,Turkey,2024,Ebola,Genetic,11.63,11.37,0.21,36-60,Female,290386,56.49,4.62,1.61,Medication,17224.0,No,88.49,1478.0,5.27,29969.0,0.88,40.73 +64353,Australia,2021,HIV/AIDS,Viral,11.58,0.85,3.46,36-60,Other,250168,62.14,3.13,5.73,Vaccination,40354.0,No,61.96,3550.0,2.51,4352.0,0.74,31.49 +64354,Mexico,2023,Alzheimer's Disease,Infectious,13.27,5.63,6.32,19-35,Other,837157,88.15,4.1,7.32,Medication,23280.0,Yes,89.45,328.0,1.39,71146.0,0.71,54.47 +64362,Argentina,2003,Parkinson's Disease,Metabolic,10.64,1.07,2.4,19-35,Male,166211,94.48,0.96,6.79,Surgery,20076.0,No,86.87,4176.0,4.54,77513.0,0.55,72.09 +64363,Japan,2023,Rabies,Parasitic,3.96,2.02,1.87,19-35,Other,854639,56.41,2.18,2.49,Therapy,36730.0,Yes,81.47,4820.0,3.62,13752.0,0.79,85.76 +64364,Turkey,2021,Dengue,Infectious,3.85,6.82,2.0,0-18,Other,743824,80.56,0.69,3.9,Surgery,19936.0,No,58.25,2730.0,3.88,81889.0,0.59,38.61 +64376,Indonesia,2017,Ebola,Parasitic,13.64,6.81,1.98,61+,Other,233731,97.0,0.9,7.84,Medication,16155.0,No,93.18,2243.0,3.21,23691.0,0.54,24.39 +64378,Mexico,2008,Influenza,Autoimmune,2.17,13.97,5.25,61+,Other,833707,54.66,0.56,6.91,Vaccination,26311.0,Yes,88.63,2716.0,6.23,19225.0,0.73,65.73 +64382,Canada,2009,Asthma,Metabolic,16.19,9.19,2.17,61+,Other,349549,82.71,2.62,1.53,Surgery,2405.0,No,66.05,1453.0,8.26,60301.0,0.52,64.7 +64384,Germany,2006,Rabies,Respiratory,11.83,0.66,5.84,0-18,Male,584504,68.0,1.47,6.75,Therapy,41579.0,No,85.84,3430.0,9.94,69874.0,0.87,70.28 +64386,Brazil,2018,Polio,Parasitic,4.08,12.67,1.74,61+,Other,165304,89.32,2.21,4.55,Surgery,42994.0,Yes,85.47,319.0,5.37,65877.0,0.57,21.09 +64391,Argentina,2020,Rabies,Viral,17.42,8.94,7.98,36-60,Other,922392,93.39,3.42,2.96,Medication,38487.0,No,74.83,2190.0,0.74,6862.0,0.78,33.95 +64393,Canada,2019,Zika,Metabolic,12.64,9.67,6.44,61+,Female,761901,57.37,1.0,6.44,Surgery,31731.0,No,93.15,2736.0,5.44,25634.0,0.51,40.27 +64394,France,2022,COVID-19,Genetic,10.12,5.43,9.01,61+,Female,381638,61.72,0.8,0.95,Therapy,43650.0,Yes,77.36,4141.0,5.97,28422.0,0.6,41.06 +64399,China,2006,Tuberculosis,Neurological,15.26,1.78,7.88,36-60,Other,352231,82.49,0.96,8.84,Medication,424.0,No,80.51,3420.0,2.08,2497.0,0.42,89.55 +64407,Nigeria,2020,Dengue,Neurological,2.85,12.63,7.81,0-18,Male,317342,51.19,1.49,6.91,Vaccination,41789.0,Yes,64.93,3270.0,2.23,71211.0,0.74,45.67 +64414,France,2024,Hepatitis,Metabolic,14.74,14.84,8.8,0-18,Male,617466,95.49,0.56,3.53,Therapy,46998.0,Yes,71.54,4977.0,7.24,30974.0,0.79,20.33 +64415,India,2013,Tuberculosis,Infectious,12.96,12.98,6.86,36-60,Male,910493,74.01,2.55,1.38,Therapy,45771.0,No,69.1,1084.0,9.92,16510.0,0.84,38.53 +64423,Indonesia,2003,HIV/AIDS,Metabolic,11.82,5.94,2.05,0-18,Male,372611,62.52,4.79,8.96,Vaccination,7417.0,No,56.82,907.0,6.36,76009.0,0.43,63.18 +64426,France,2009,HIV/AIDS,Metabolic,13.51,2.11,3.58,36-60,Other,856573,71.17,3.92,8.61,Vaccination,34071.0,Yes,91.33,2430.0,3.92,69939.0,0.62,25.17 +64427,UK,2016,Asthma,Neurological,14.39,7.2,7.46,0-18,Other,684210,82.97,4.01,6.95,Therapy,10466.0,No,92.02,3157.0,6.24,83063.0,0.49,82.01 +64429,USA,2022,Measles,Bacterial,15.34,8.77,5.77,19-35,Other,522170,89.86,0.69,0.57,Therapy,23621.0,No,89.48,3690.0,1.02,57351.0,0.83,87.45 +64430,Saudi Arabia,2022,Influenza,Metabolic,13.92,8.98,7.97,36-60,Male,141808,52.74,0.54,9.35,Surgery,1257.0,Yes,66.9,3430.0,3.18,38933.0,0.79,56.22 +64431,Mexico,2002,Ebola,Genetic,10.4,4.01,7.27,36-60,Male,803207,57.9,4.41,9.28,Medication,11217.0,No,85.75,3790.0,7.72,72289.0,0.45,62.93 +64451,Japan,2012,COVID-19,Respiratory,3.23,14.21,2.69,19-35,Male,985109,54.6,1.73,5.05,Medication,34028.0,No,56.42,2706.0,9.49,83878.0,0.73,86.91 +64458,Brazil,2011,Dengue,Autoimmune,18.52,1.15,8.7,61+,Other,810664,84.91,1.15,7.19,Vaccination,38181.0,Yes,74.5,4697.0,6.9,10878.0,0.41,27.47 +64461,Mexico,2007,Asthma,Neurological,9.56,5.28,6.64,0-18,Male,704414,97.96,4.25,9.84,Surgery,18454.0,Yes,54.62,1495.0,3.6,78787.0,0.76,44.93 +64464,Australia,2020,Zika,Cardiovascular,11.93,9.5,8.35,19-35,Other,748401,98.31,1.15,0.95,Therapy,34583.0,Yes,55.24,4406.0,4.66,91773.0,0.52,82.67 +64471,Germany,2011,COVID-19,Bacterial,19.59,6.99,7.39,19-35,Female,456532,57.47,1.17,3.69,Medication,45442.0,No,80.25,738.0,2.48,40790.0,0.74,25.36 +64488,Germany,2009,Dengue,Viral,18.5,4.02,8.19,0-18,Male,401152,73.48,2.11,4.36,Therapy,30555.0,No,72.98,3156.0,3.63,72272.0,0.53,46.47 +64493,Germany,2022,COVID-19,Bacterial,15.43,7.47,4.44,61+,Male,216783,81.08,1.34,5.8,Surgery,18800.0,Yes,72.29,1107.0,2.21,75082.0,0.72,20.14 +64507,Turkey,2018,Polio,Cardiovascular,8.9,3.58,5.63,19-35,Female,172534,98.63,3.34,4.78,Surgery,33103.0,No,69.19,4478.0,0.33,31394.0,0.82,49.38 +64520,South Africa,2017,Asthma,Genetic,13.92,10.68,9.12,0-18,Male,283702,59.73,1.42,9.04,Medication,30931.0,No,67.84,3234.0,9.14,25865.0,0.62,84.92 +64525,Germany,2019,Asthma,Respiratory,4.94,11.67,8.54,19-35,Other,747302,50.72,0.66,5.22,Surgery,38442.0,No,53.57,894.0,4.03,32816.0,0.77,28.74 +64532,UK,2014,Cholera,Autoimmune,4.84,9.53,2.71,36-60,Female,912477,61.26,3.27,6.9,Surgery,29399.0,No,75.77,4103.0,8.34,18457.0,0.68,76.47 +64534,Saudi Arabia,2004,Malaria,Parasitic,13.3,7.69,6.38,0-18,Male,928006,71.96,1.84,9.07,Surgery,15783.0,No,74.84,1819.0,3.39,72235.0,0.44,79.36 +64538,UK,2018,Malaria,Cardiovascular,2.64,5.29,6.32,0-18,Female,670875,64.36,1.78,7.66,Medication,29501.0,No,76.15,2473.0,2.08,12899.0,0.43,39.91 +64554,South Africa,2021,Zika,Metabolic,1.58,7.69,9.19,61+,Male,264901,61.65,3.7,1.72,Vaccination,6654.0,Yes,97.18,1736.0,9.88,19486.0,0.49,66.19 +64557,China,2015,Hepatitis,Genetic,14.42,5.42,4.82,19-35,Male,557878,51.17,1.28,7.2,Vaccination,38216.0,Yes,79.05,2714.0,3.49,28650.0,0.51,62.15 +64559,Japan,2023,Rabies,Parasitic,12.15,0.45,6.59,19-35,Male,288650,68.89,2.78,7.59,Vaccination,6894.0,No,82.71,1822.0,2.1,81044.0,0.81,31.67 +64565,France,2005,Dengue,Genetic,11.37,12.66,3.47,0-18,Female,19157,81.78,1.75,3.33,Therapy,22823.0,Yes,76.47,1686.0,1.65,91989.0,0.83,56.16 +64569,Nigeria,2017,Dengue,Neurological,7.22,0.8,6.13,19-35,Male,100997,87.41,3.14,0.66,Medication,1096.0,Yes,85.39,561.0,2.98,72985.0,0.6,50.72 +64576,France,2017,Alzheimer's Disease,Infectious,14.73,0.2,4.54,0-18,Male,131251,60.51,3.31,2.29,Surgery,33615.0,No,65.99,3528.0,6.55,11082.0,0.51,54.1 +64586,UK,2021,Dengue,Infectious,16.13,3.76,9.89,0-18,Other,949790,73.41,4.69,4.51,Surgery,41740.0,No,88.78,404.0,4.92,2847.0,0.47,24.24 +64591,Mexico,2017,Asthma,Respiratory,8.45,1.8,1.07,0-18,Female,518360,62.03,2.02,4.23,Therapy,49380.0,No,74.7,904.0,2.74,39332.0,0.9,57.57 +64592,Japan,2006,Cancer,Autoimmune,11.66,2.86,4.28,61+,Female,146775,72.05,2.95,6.05,Medication,2098.0,No,91.1,1232.0,4.32,56946.0,0.83,76.56 +64596,Indonesia,2019,Parkinson's Disease,Infectious,9.33,13.99,0.61,0-18,Other,87802,96.14,2.3,5.86,Surgery,42876.0,No,91.69,435.0,7.15,65072.0,0.75,85.49 +64610,Argentina,2013,Dengue,Metabolic,16.64,6.9,2.53,61+,Male,738374,74.21,4.07,5.06,Therapy,10865.0,No,77.4,3047.0,5.41,22095.0,0.82,23.7 +64611,Germany,2006,Leprosy,Neurological,14.87,2.11,0.56,36-60,Other,263282,74.63,3.74,6.22,Surgery,31679.0,Yes,61.43,4628.0,3.27,60859.0,0.73,50.18 +64612,Australia,2007,Alzheimer's Disease,Genetic,6.85,9.39,1.98,36-60,Male,683676,74.17,0.54,7.92,Medication,2621.0,Yes,66.95,3978.0,9.51,1153.0,0.73,89.21 +64638,Russia,2010,Leprosy,Cardiovascular,15.4,10.12,6.79,0-18,Female,862875,73.07,0.89,0.71,Medication,2636.0,No,89.05,3688.0,3.94,98789.0,0.43,48.92 +64641,Italy,2024,Cholera,Chronic,7.96,2.97,2.76,36-60,Male,683947,83.43,3.97,7.83,Vaccination,25121.0,Yes,95.88,720.0,0.07,2401.0,0.7,25.28 +64651,UK,2018,Leprosy,Respiratory,14.14,11.05,5.52,19-35,Male,685029,64.42,1.52,1.27,Surgery,31563.0,No,79.31,1442.0,4.9,31399.0,0.5,56.44 +64652,USA,2019,Zika,Parasitic,15.72,12.59,7.51,19-35,Female,694722,71.58,1.31,6.7,Vaccination,34785.0,No,59.5,1241.0,6.06,68205.0,0.72,59.79 +64656,Canada,2005,Zika,Neurological,8.84,5.11,5.62,36-60,Female,99593,73.28,0.82,9.0,Medication,11050.0,Yes,75.6,2033.0,7.18,71091.0,0.74,41.25 +64665,Canada,2020,Asthma,Genetic,3.93,14.09,1.75,0-18,Female,792912,89.22,3.5,7.53,Vaccination,38742.0,Yes,73.51,3214.0,6.32,41831.0,0.54,55.3 +64669,Germany,2013,Asthma,Respiratory,19.55,6.69,8.09,19-35,Other,889014,57.81,0.75,9.23,Vaccination,3815.0,No,75.92,1386.0,7.7,52807.0,0.63,49.47 +64675,Nigeria,2001,Asthma,Cardiovascular,6.83,4.78,7.6,36-60,Male,666754,60.18,1.91,1.45,Surgery,17983.0,No,89.2,4066.0,3.0,58307.0,0.51,57.41 +64677,Italy,2005,Dengue,Neurological,17.23,10.52,3.57,0-18,Female,773740,92.7,1.04,0.53,Medication,13581.0,Yes,82.19,1775.0,9.61,75987.0,0.47,84.27 +64681,Germany,2011,Asthma,Metabolic,0.28,6.44,9.32,19-35,Male,769757,96.94,4.99,6.12,Surgery,7835.0,Yes,90.04,4727.0,9.02,37693.0,0.67,35.4 +64685,Russia,2002,Dengue,Neurological,3.69,13.05,6.61,36-60,Female,980684,73.28,3.39,4.91,Surgery,6021.0,No,98.35,4314.0,2.57,56171.0,0.49,85.02 +64689,Germany,2007,Tuberculosis,Metabolic,17.89,3.36,5.07,0-18,Female,518291,76.18,0.71,8.62,Therapy,6553.0,Yes,94.67,4244.0,6.28,25430.0,0.43,66.9 +64691,Germany,2022,Asthma,Genetic,3.8,7.7,5.4,36-60,Other,558228,67.94,2.53,4.57,Vaccination,24885.0,No,77.01,1769.0,3.75,88600.0,0.74,21.12 +64693,Russia,2003,Dengue,Autoimmune,12.09,2.72,3.93,36-60,Other,28373,56.41,1.54,6.58,Vaccination,44241.0,Yes,94.63,792.0,1.48,98712.0,0.71,82.0 +64696,Mexico,2024,Hepatitis,Viral,17.01,3.26,6.09,61+,Female,922626,97.23,1.16,9.03,Surgery,39001.0,Yes,90.59,4583.0,9.38,1810.0,0.77,21.2 +64702,Brazil,2023,Asthma,Bacterial,5.81,9.24,3.99,36-60,Female,978235,95.27,0.8,9.36,Vaccination,5015.0,Yes,88.84,3430.0,8.76,74007.0,0.51,31.66 +64713,Turkey,2004,Polio,Metabolic,0.88,0.92,9.29,0-18,Male,922010,91.19,0.77,9.98,Medication,22690.0,Yes,81.12,1199.0,1.13,64047.0,0.76,25.5 +64714,Indonesia,2000,Hypertension,Chronic,3.31,3.27,3.58,36-60,Male,880624,78.25,1.1,4.57,Therapy,3476.0,Yes,82.7,3737.0,7.72,5130.0,0.47,33.16 +64718,Indonesia,2012,Dengue,Neurological,19.87,2.99,6.3,0-18,Female,366946,88.44,0.85,4.99,Medication,26788.0,Yes,89.91,1303.0,6.61,39168.0,0.48,77.18 +64719,Mexico,2021,Tuberculosis,Parasitic,19.03,6.55,1.01,36-60,Male,821478,57.49,3.61,5.96,Surgery,38897.0,No,71.65,2111.0,2.87,74672.0,0.73,77.02 +64726,India,2023,Ebola,Metabolic,11.85,5.43,8.53,61+,Female,971934,57.32,4.74,4.4,Vaccination,41758.0,No,98.07,4168.0,5.97,64782.0,0.75,63.69 +64728,Brazil,2019,Diabetes,Cardiovascular,10.29,3.64,0.25,19-35,Female,682125,72.27,3.37,0.6,Therapy,45922.0,Yes,54.85,2689.0,3.27,58801.0,0.84,69.78 +64730,Nigeria,2012,Tuberculosis,Respiratory,18.06,13.97,4.76,0-18,Other,835614,81.02,4.78,7.18,Therapy,2867.0,No,93.81,4942.0,8.49,48590.0,0.52,77.04 +64732,Nigeria,2015,Parkinson's Disease,Metabolic,3.18,3.55,6.38,0-18,Other,830467,75.14,4.54,2.0,Surgery,7835.0,No,51.47,2933.0,3.77,44692.0,0.7,66.17 +64733,Indonesia,2018,Diabetes,Chronic,14.87,4.32,3.61,19-35,Male,72176,88.46,2.12,7.05,Vaccination,49891.0,No,94.28,2589.0,9.96,11913.0,0.83,26.71 +64739,China,2016,Cancer,Metabolic,7.81,2.93,6.1,0-18,Other,322268,69.42,4.17,6.98,Vaccination,35028.0,No,58.1,1897.0,8.23,64369.0,0.57,61.3 +64745,France,2022,Alzheimer's Disease,Respiratory,13.07,11.26,6.27,19-35,Female,445107,88.06,4.82,7.45,Vaccination,47110.0,No,97.28,504.0,4.08,45163.0,0.65,40.93 +64748,USA,2021,Dengue,Cardiovascular,1.93,11.47,7.92,0-18,Female,516413,92.32,1.38,6.82,Therapy,13689.0,No,90.33,3154.0,2.86,65678.0,0.81,77.73 +64751,China,2024,Hypertension,Bacterial,19.03,6.54,5.1,19-35,Male,740501,94.61,0.97,1.42,Surgery,19008.0,Yes,54.61,4578.0,0.74,83576.0,0.62,84.92 +64754,Turkey,2009,Dengue,Metabolic,17.08,10.48,2.78,36-60,Female,25165,96.06,1.74,3.52,Vaccination,15586.0,No,57.32,1537.0,9.59,30608.0,0.47,37.88 +64756,Italy,2011,Measles,Viral,14.83,10.81,6.21,19-35,Female,544817,66.1,4.7,8.41,Therapy,32058.0,Yes,86.33,4276.0,4.06,61416.0,0.59,50.62 +64758,Nigeria,2009,Malaria,Metabolic,6.27,8.74,6.98,36-60,Female,978055,97.77,2.05,5.95,Vaccination,25439.0,Yes,74.54,2642.0,9.3,48983.0,0.6,77.59 +64763,Japan,2008,Malaria,Metabolic,2.73,9.96,8.32,61+,Female,641427,63.39,3.88,2.24,Medication,31611.0,No,55.26,4913.0,0.18,17070.0,0.46,78.0 +64764,Saudi Arabia,2008,Malaria,Neurological,1.39,1.56,8.01,0-18,Other,761366,82.94,3.95,5.67,Therapy,45359.0,No,51.23,3883.0,9.01,71261.0,0.69,36.77 +64768,Russia,2021,Polio,Cardiovascular,3.76,13.25,5.87,61+,Female,154906,56.48,1.59,4.44,Vaccination,9346.0,Yes,55.59,4832.0,9.86,804.0,0.53,42.62 +64769,Argentina,2016,Zika,Autoimmune,13.93,10.78,9.18,19-35,Female,68086,90.49,0.98,7.21,Vaccination,49719.0,No,94.17,4681.0,6.23,77824.0,0.75,45.44 +64772,South Korea,2010,Influenza,Autoimmune,1.78,2.48,8.04,36-60,Female,673617,80.94,2.14,3.44,Medication,9187.0,No,52.26,3358.0,8.94,73938.0,0.57,52.48 +64775,South Korea,2005,Influenza,Infectious,11.81,10.21,5.5,0-18,Female,310202,59.58,3.55,2.21,Medication,33424.0,Yes,89.11,1215.0,2.22,60120.0,0.81,33.28 +64777,Canada,2011,Cancer,Respiratory,17.99,6.33,3.72,61+,Other,664661,96.35,3.14,8.85,Therapy,24375.0,Yes,84.8,1327.0,5.43,61793.0,0.44,62.94 +64793,South Korea,2023,Cholera,Infectious,8.29,4.21,4.67,19-35,Other,995152,64.72,2.74,7.07,Medication,46209.0,No,67.11,1895.0,9.62,29296.0,0.46,46.52 +64794,Nigeria,2020,Zika,Parasitic,12.23,8.98,4.47,61+,Other,352895,71.48,4.73,2.68,Vaccination,40091.0,Yes,50.23,282.0,6.54,55489.0,0.73,54.09 +64806,Russia,2022,Polio,Cardiovascular,16.25,2.33,8.85,0-18,Female,4584,84.2,1.41,9.2,Surgery,45917.0,No,76.07,2025.0,1.26,1952.0,0.86,22.64 +64812,India,2017,Measles,Neurological,16.6,4.81,5.67,0-18,Male,95678,92.93,1.0,0.57,Surgery,40368.0,No,95.56,346.0,6.66,4206.0,0.89,67.01 +64813,Brazil,2014,Tuberculosis,Cardiovascular,15.83,4.78,2.02,36-60,Female,275947,76.66,4.89,4.39,Medication,41907.0,No,61.92,3401.0,9.7,4270.0,0.85,43.41 +64825,Indonesia,2022,Influenza,Metabolic,13.9,7.17,2.01,0-18,Female,611232,75.9,2.55,1.83,Surgery,43066.0,No,75.82,252.0,3.52,99185.0,0.81,31.97 +64831,Germany,2021,Polio,Chronic,1.76,9.28,4.64,36-60,Female,318456,61.27,1.11,3.31,Medication,26671.0,Yes,88.64,2849.0,3.26,15570.0,0.59,47.01 +64832,Brazil,2002,Polio,Chronic,6.67,6.19,8.7,36-60,Male,725696,78.28,2.19,2.58,Medication,919.0,No,92.9,4584.0,9.66,81194.0,0.84,58.01 +64833,Indonesia,2015,Dengue,Neurological,19.0,2.02,2.17,0-18,Female,917787,70.4,1.83,3.53,Surgery,13458.0,Yes,88.31,1118.0,2.58,56751.0,0.86,72.58 +64836,Russia,2016,Zika,Parasitic,8.44,2.36,8.92,19-35,Female,320893,72.09,2.42,9.05,Surgery,32700.0,Yes,98.15,4928.0,7.06,4300.0,0.55,34.28 +64838,India,2023,Cholera,Parasitic,9.31,12.5,0.56,19-35,Female,565257,65.76,4.92,2.43,Vaccination,26669.0,No,98.88,4235.0,6.68,13691.0,0.73,54.93 +64840,Argentina,2021,Malaria,Viral,19.79,13.99,2.24,61+,Female,227755,61.51,3.38,9.83,Vaccination,32776.0,Yes,50.86,2002.0,8.75,20312.0,0.73,65.11 +64851,Russia,2007,Alzheimer's Disease,Metabolic,0.12,1.57,9.6,0-18,Female,857976,99.7,3.03,4.59,Surgery,15549.0,No,55.91,1301.0,2.92,10555.0,0.43,66.23 +64852,Australia,2018,Zika,Genetic,14.55,1.75,2.17,0-18,Other,661329,62.64,2.86,1.01,Surgery,40781.0,No,55.25,1463.0,4.45,37835.0,0.52,60.37 +64863,South Africa,2010,COVID-19,Chronic,6.26,1.83,2.17,19-35,Female,616923,75.72,1.53,2.54,Therapy,14134.0,No,69.52,3871.0,6.56,67898.0,0.88,74.72 +64865,Turkey,2001,Hypertension,Neurological,3.91,3.83,3.92,0-18,Male,829119,80.36,2.95,2.06,Vaccination,6928.0,No,90.61,3476.0,2.97,72757.0,0.53,39.81 +64877,USA,2016,Malaria,Parasitic,10.56,9.9,1.54,0-18,Male,245379,62.76,1.86,0.64,Medication,45836.0,Yes,64.27,3933.0,0.4,95258.0,0.83,26.75 +64883,China,2003,COVID-19,Bacterial,19.86,13.22,1.38,0-18,Female,393453,66.1,2.97,5.09,Surgery,16316.0,Yes,68.16,3459.0,4.98,71358.0,0.51,58.31 +64884,Australia,2018,Influenza,Infectious,10.55,6.87,6.59,36-60,Other,114367,72.02,2.35,3.49,Medication,49326.0,No,65.93,4992.0,7.18,91708.0,0.68,49.44 +64885,Australia,2006,Asthma,Infectious,14.99,2.62,8.86,19-35,Female,656827,96.56,4.55,3.34,Medication,4826.0,No,57.27,4911.0,5.42,12900.0,0.49,66.29 +64888,Italy,2001,Tuberculosis,Respiratory,3.96,3.81,9.34,61+,Female,329187,99.11,2.6,4.34,Surgery,46714.0,Yes,92.11,393.0,4.51,79999.0,0.55,61.73 +64894,China,2022,Leprosy,Infectious,3.35,7.97,4.8,19-35,Other,380959,80.09,3.4,9.05,Medication,42469.0,Yes,53.79,2412.0,8.0,66720.0,0.73,73.75 +64900,Saudi Arabia,2001,Malaria,Chronic,10.96,9.69,2.79,19-35,Male,853111,97.5,1.94,1.62,Therapy,40397.0,No,59.05,1794.0,8.53,42597.0,0.55,25.18 +64902,South Korea,2024,Cholera,Genetic,6.74,7.98,3.34,36-60,Other,350814,81.4,4.55,9.99,Medication,49528.0,Yes,88.68,1268.0,9.35,69923.0,0.71,75.08 +64912,Canada,2006,COVID-19,Chronic,3.76,10.17,7.59,19-35,Female,469342,92.17,3.96,9.09,Medication,23087.0,No,88.14,1287.0,6.79,79929.0,0.44,55.72 +64915,Brazil,2003,Leprosy,Cardiovascular,7.48,0.74,0.84,19-35,Female,229382,74.31,0.94,3.6,Therapy,12037.0,Yes,79.08,3560.0,5.94,24704.0,0.55,48.06 +64918,Russia,2014,Tuberculosis,Parasitic,5.29,3.57,7.62,61+,Other,701727,95.75,3.8,8.64,Vaccination,21621.0,Yes,57.42,3508.0,9.78,10964.0,0.59,50.41 +64919,UK,2016,Influenza,Parasitic,7.78,8.31,4.33,19-35,Male,170033,81.66,1.59,5.03,Medication,2865.0,Yes,83.22,959.0,8.79,34125.0,0.77,53.64 +64922,Brazil,2014,Ebola,Autoimmune,11.02,8.29,8.95,0-18,Female,314465,64.39,2.75,0.68,Therapy,13806.0,No,93.82,3324.0,6.84,84769.0,0.42,75.37 +64924,Argentina,2009,Parkinson's Disease,Parasitic,3.71,5.19,1.25,61+,Other,210293,57.15,3.69,6.26,Vaccination,700.0,No,80.61,522.0,8.96,30985.0,0.78,47.17 +64941,China,2007,Cancer,Metabolic,19.54,9.68,4.75,19-35,Male,80174,79.44,3.35,5.35,Therapy,16077.0,Yes,84.81,1786.0,5.33,60087.0,0.82,62.8 +64946,Russia,2015,COVID-19,Respiratory,12.15,11.61,8.17,0-18,Female,489827,58.77,3.89,1.8,Surgery,39788.0,No,77.24,4396.0,3.38,94459.0,0.87,85.63 +64950,Nigeria,2015,Asthma,Genetic,8.57,9.66,2.24,36-60,Female,281436,78.01,3.9,5.93,Vaccination,21457.0,Yes,53.63,1872.0,4.73,61815.0,0.61,44.75 +64954,Germany,2011,Parkinson's Disease,Neurological,5.64,7.44,5.4,0-18,Female,173078,86.68,2.14,2.57,Medication,6896.0,No,74.37,3963.0,8.06,76918.0,0.56,56.69 +64962,Indonesia,2014,Zika,Metabolic,16.66,4.46,2.94,19-35,Other,688503,82.33,3.6,5.28,Therapy,10827.0,No,76.17,4181.0,4.28,98245.0,0.9,79.76 +64964,Argentina,2004,Parkinson's Disease,Cardiovascular,17.04,9.33,1.08,36-60,Male,333379,93.79,1.18,5.1,Surgery,9090.0,No,78.24,1630.0,5.21,72055.0,0.74,34.8 +64965,USA,2023,Measles,Metabolic,6.77,9.62,1.84,36-60,Female,655749,99.07,1.67,5.43,Vaccination,13161.0,Yes,95.27,3482.0,1.87,53182.0,0.64,50.62 +64970,China,2012,Hepatitis,Cardiovascular,5.28,14.92,1.25,61+,Male,130328,98.72,1.34,2.89,Vaccination,33200.0,No,97.06,2365.0,2.28,21298.0,0.72,31.43 +64980,Germany,2017,Polio,Infectious,0.51,12.16,6.93,19-35,Female,434627,67.3,3.8,7.57,Surgery,45211.0,No,86.32,533.0,7.22,87693.0,0.59,83.59 +64982,Turkey,2021,Diabetes,Viral,5.87,5.99,6.84,0-18,Female,506546,69.15,3.28,3.36,Medication,10483.0,No,85.59,225.0,7.16,84081.0,0.51,63.0 +64985,USA,2003,Parkinson's Disease,Respiratory,6.83,4.57,9.13,19-35,Other,340567,53.56,4.77,8.43,Surgery,12079.0,Yes,65.67,551.0,6.2,48571.0,0.51,71.7 +64986,Australia,2016,Dengue,Neurological,7.85,10.22,1.41,0-18,Female,664528,71.95,3.89,1.65,Therapy,27410.0,No,63.13,2351.0,4.76,10897.0,0.67,81.06 +64990,UK,2015,Parkinson's Disease,Cardiovascular,7.35,13.65,8.22,19-35,Male,927832,87.34,1.69,2.85,Vaccination,31442.0,No,79.13,4162.0,4.33,78550.0,0.75,36.31 +64991,South Africa,2002,Hepatitis,Genetic,2.07,1.18,5.87,36-60,Male,196487,88.92,1.1,2.65,Medication,48189.0,Yes,97.02,429.0,8.14,43387.0,0.43,60.34 +64996,Australia,2011,Tuberculosis,Neurological,5.05,0.47,8.71,19-35,Other,899874,55.79,2.41,1.96,Therapy,36793.0,No,77.4,1648.0,8.33,65650.0,0.89,25.89 +65002,Turkey,2001,Influenza,Respiratory,15.8,13.22,5.78,36-60,Male,251316,98.34,0.91,3.5,Vaccination,36324.0,No,85.6,3595.0,4.86,12919.0,0.56,72.3 +65005,China,2005,Dengue,Autoimmune,5.5,3.09,0.62,36-60,Other,639430,55.55,1.06,9.17,Medication,44655.0,Yes,98.97,731.0,7.67,29744.0,0.9,42.07 +65007,Canada,2012,Hypertension,Bacterial,12.97,4.34,3.08,61+,Other,173454,93.13,4.95,5.8,Medication,19282.0,No,91.02,3175.0,3.79,57400.0,0.47,51.42 +65023,France,2008,Leprosy,Chronic,14.6,4.64,4.38,0-18,Female,540487,93.21,2.12,4.37,Vaccination,48631.0,No,50.54,1482.0,8.05,67831.0,0.56,34.24 +65024,France,2014,Malaria,Viral,5.3,6.63,1.0,19-35,Male,274202,78.52,1.11,6.22,Vaccination,48791.0,Yes,73.33,4096.0,5.1,84475.0,0.41,37.35 +65033,Argentina,2023,COVID-19,Genetic,3.54,14.94,2.32,19-35,Male,599742,87.62,3.54,7.74,Medication,47483.0,No,62.8,3800.0,4.69,30191.0,0.75,52.4 +65043,France,2014,Zika,Bacterial,16.18,4.37,9.32,36-60,Other,711111,90.94,2.68,5.33,Vaccination,28129.0,Yes,95.2,2942.0,2.82,24586.0,0.76,83.01 +65052,South Korea,2020,Zika,Metabolic,13.19,4.6,9.49,19-35,Male,235255,70.88,1.64,5.14,Therapy,41569.0,No,62.44,3239.0,6.73,2082.0,0.78,42.27 +65059,Nigeria,2018,Tuberculosis,Respiratory,18.92,9.42,5.96,0-18,Female,325341,65.1,3.28,9.19,Surgery,20872.0,No,51.66,1093.0,6.7,48754.0,0.78,53.88 +65064,Mexico,2001,Measles,Bacterial,2.77,1.94,4.29,19-35,Female,900017,69.17,0.71,9.29,Surgery,15227.0,Yes,89.71,1517.0,7.37,21667.0,0.62,69.96 +65065,South Korea,2013,Hypertension,Metabolic,14.77,12.12,5.38,61+,Female,696042,99.26,4.54,4.2,Medication,7903.0,Yes,50.81,3238.0,2.61,34903.0,0.47,44.14 +65067,France,2013,Cancer,Metabolic,15.26,11.1,3.15,19-35,Other,40842,91.83,3.25,7.08,Vaccination,17305.0,No,82.37,12.0,9.8,75613.0,0.88,76.63 +65069,Mexico,2019,Asthma,Neurological,6.93,5.33,4.65,0-18,Female,865548,88.49,2.3,7.2,Medication,38187.0,Yes,56.33,4726.0,5.64,96741.0,0.41,62.11 +65080,Mexico,2006,Asthma,Parasitic,9.01,3.62,2.99,19-35,Male,320369,50.44,1.23,3.55,Therapy,31513.0,No,75.81,3274.0,5.81,62043.0,0.82,26.37 +65088,Turkey,2010,Hepatitis,Autoimmune,16.19,8.66,6.59,61+,Female,866698,87.29,2.28,8.05,Medication,39841.0,No,69.57,3886.0,0.04,54630.0,0.77,72.51 +65089,UK,2001,Diabetes,Metabolic,2.35,2.95,7.78,19-35,Other,9994,90.09,0.72,4.89,Vaccination,47925.0,No,88.04,4900.0,4.07,27211.0,0.55,55.23 +65097,Indonesia,2003,Alzheimer's Disease,Viral,0.16,4.32,5.0,0-18,Male,197085,51.68,4.4,2.18,Vaccination,21610.0,Yes,80.21,2480.0,6.91,15951.0,0.5,73.86 +65100,USA,2014,Zika,Neurological,6.09,6.12,4.99,0-18,Male,603542,57.58,3.04,1.94,Medication,12239.0,No,62.71,1361.0,2.01,84026.0,0.51,79.02 +65109,Argentina,2011,Polio,Viral,3.68,8.8,4.45,19-35,Female,445805,85.19,4.85,6.73,Medication,44444.0,No,85.09,1771.0,3.36,18366.0,0.57,61.94 +65118,Japan,2012,Rabies,Chronic,6.99,7.52,5.97,61+,Other,200107,79.99,4.27,1.43,Vaccination,23757.0,No,63.84,3859.0,6.62,45742.0,0.51,66.92 +65122,Brazil,2017,Tuberculosis,Respiratory,12.22,13.37,0.34,61+,Female,58312,77.74,3.86,5.93,Therapy,38516.0,Yes,87.36,4078.0,4.53,48293.0,0.47,22.17 +65128,Japan,2020,Parkinson's Disease,Infectious,4.03,7.9,3.92,61+,Female,969958,81.97,3.11,6.91,Surgery,14936.0,No,50.06,1378.0,3.74,20682.0,0.62,51.21 +65129,South Korea,2003,Diabetes,Genetic,10.37,10.41,2.29,61+,Female,855486,93.41,3.18,2.27,Vaccination,1081.0,No,61.9,1218.0,3.04,2915.0,0.51,69.09 +65133,Indonesia,2018,Measles,Neurological,11.33,10.71,5.5,0-18,Male,273685,68.0,3.98,4.06,Therapy,34522.0,Yes,75.8,994.0,6.21,62460.0,0.72,73.9 +65138,Nigeria,2011,Influenza,Autoimmune,9.66,13.43,1.74,19-35,Male,272872,95.02,1.14,4.25,Vaccination,12580.0,No,60.14,2408.0,3.29,97070.0,0.43,69.68 +65139,Germany,2023,Leprosy,Infectious,15.62,1.06,5.63,0-18,Male,274574,85.84,3.07,8.71,Surgery,15587.0,Yes,67.92,458.0,3.96,19200.0,0.43,42.59 +65165,Turkey,2003,Alzheimer's Disease,Respiratory,1.22,14.77,10.0,36-60,Other,622298,96.72,0.75,4.52,Therapy,46240.0,Yes,87.46,1545.0,7.08,68348.0,0.63,44.19 +65167,UK,2023,Hypertension,Infectious,2.91,10.7,2.59,19-35,Female,831357,54.62,0.92,9.43,Vaccination,34658.0,Yes,89.32,221.0,5.61,19691.0,0.71,48.1 +65171,Italy,2019,Rabies,Viral,3.22,10.17,2.89,61+,Male,192459,68.2,2.66,4.69,Surgery,48067.0,No,70.95,3794.0,9.52,20012.0,0.54,40.26 +65173,Canada,2020,Measles,Genetic,2.87,11.64,4.39,19-35,Female,134645,57.3,3.9,6.37,Surgery,7143.0,No,96.26,2585.0,9.24,13453.0,0.57,82.07 +65176,Nigeria,2023,Cancer,Chronic,6.68,14.18,4.88,0-18,Other,537439,94.87,4.34,1.84,Medication,32339.0,Yes,58.74,4325.0,8.56,86000.0,0.73,30.6 +65178,Brazil,2005,Alzheimer's Disease,Autoimmune,16.86,11.7,4.14,0-18,Female,957709,81.91,4.2,9.49,Medication,39837.0,No,75.76,2697.0,5.63,3305.0,0.89,32.87 +65184,China,2002,Cancer,Genetic,14.87,12.52,6.55,61+,Male,673598,79.74,0.56,2.12,Surgery,29947.0,No,87.59,4470.0,4.28,3389.0,0.75,34.92 +65191,UK,2003,Zika,Chronic,17.91,10.13,4.8,36-60,Male,995857,98.92,2.46,4.13,Medication,3063.0,No,77.24,3983.0,8.4,48751.0,0.76,71.12 +65193,Argentina,2000,Measles,Bacterial,15.56,3.54,3.63,36-60,Other,390446,54.78,1.45,3.61,Surgery,26397.0,Yes,98.2,4486.0,6.66,37153.0,0.76,48.1 +65201,South Africa,2005,Malaria,Neurological,19.64,6.92,0.69,0-18,Male,492347,93.98,3.44,6.76,Therapy,1457.0,No,89.5,996.0,2.14,4401.0,0.51,34.25 +65205,France,2005,COVID-19,Autoimmune,8.52,14.84,3.58,61+,Male,100546,77.55,3.11,6.28,Surgery,6223.0,Yes,80.85,3543.0,2.03,19885.0,0.6,50.43 +65213,Turkey,2008,Dengue,Neurological,6.77,2.31,4.93,61+,Male,567097,71.09,1.25,5.73,Medication,572.0,Yes,55.38,944.0,4.8,94305.0,0.8,65.93 +65218,Russia,2004,COVID-19,Autoimmune,4.72,6.53,7.02,36-60,Male,357580,68.65,1.35,9.24,Vaccination,23036.0,Yes,74.53,2563.0,2.1,63557.0,0.52,66.69 +65223,China,2002,Hepatitis,Bacterial,2.85,11.43,0.47,19-35,Female,521586,58.85,1.25,3.5,Therapy,192.0,No,91.98,2807.0,8.48,34316.0,0.55,49.79 +65225,South Korea,2022,Cancer,Infectious,16.99,12.76,1.96,19-35,Female,539676,68.01,2.8,7.63,Surgery,46324.0,No,89.21,389.0,1.11,77166.0,0.78,83.04 +65227,Australia,2019,COVID-19,Metabolic,1.88,1.25,0.53,36-60,Other,941178,55.56,3.46,4.77,Medication,27109.0,No,68.54,2742.0,0.72,9969.0,0.61,45.96 +65229,South Africa,2024,Diabetes,Bacterial,13.09,6.29,2.89,0-18,Male,702293,78.27,2.7,1.32,Therapy,15406.0,No,94.46,3805.0,6.87,12560.0,0.46,30.31 +65232,Russia,2008,Ebola,Autoimmune,10.91,10.1,4.52,0-18,Female,497798,82.58,1.04,4.77,Surgery,46190.0,No,53.18,594.0,2.74,3035.0,0.89,89.29 +65237,Mexico,2013,Hypertension,Bacterial,10.34,9.09,2.87,0-18,Other,528981,87.01,3.14,6.03,Medication,40248.0,Yes,67.86,4592.0,7.86,10425.0,0.88,49.49 +65245,Japan,2018,Asthma,Genetic,16.46,10.15,9.76,61+,Other,230640,76.11,3.25,7.79,Medication,43893.0,Yes,80.06,249.0,4.54,93515.0,0.6,58.28 +65251,Turkey,2003,Malaria,Autoimmune,18.45,9.87,5.38,36-60,Male,118253,77.1,2.5,6.75,Vaccination,25155.0,No,54.24,3547.0,5.23,27544.0,0.73,56.28 +65258,Russia,2014,Malaria,Genetic,19.98,10.0,7.15,19-35,Female,414598,72.78,3.03,6.89,Surgery,44254.0,No,65.46,4009.0,4.81,27007.0,0.69,66.6 +65263,France,2001,Alzheimer's Disease,Genetic,1.76,14.18,6.59,36-60,Male,112723,76.01,2.16,6.15,Surgery,30436.0,Yes,79.57,56.0,8.81,14311.0,0.5,28.94 +65264,France,2018,Diabetes,Parasitic,15.34,11.2,8.48,19-35,Male,711113,97.28,4.26,9.44,Medication,3871.0,No,84.08,4982.0,0.48,96880.0,0.74,43.26 +65270,UK,2014,Dengue,Chronic,17.51,7.12,6.39,19-35,Female,285412,50.51,3.49,1.24,Vaccination,39320.0,Yes,79.34,1165.0,3.81,21258.0,0.88,76.68 +65272,USA,2007,Ebola,Cardiovascular,10.61,9.34,3.45,19-35,Female,291177,69.89,4.59,8.44,Surgery,44963.0,No,86.48,3988.0,2.72,44086.0,0.8,32.73 +65275,South Korea,2000,Alzheimer's Disease,Chronic,10.29,10.18,7.71,19-35,Other,986531,60.28,3.19,2.48,Medication,38435.0,Yes,79.1,2050.0,5.77,49348.0,0.43,43.29 +65276,Indonesia,2004,Polio,Bacterial,15.17,12.4,4.37,36-60,Female,651100,78.83,1.57,6.88,Surgery,29993.0,No,86.31,1163.0,5.62,74364.0,0.65,67.19 +65288,China,2009,Ebola,Infectious,3.79,9.91,1.92,36-60,Male,984307,70.44,1.98,4.6,Medication,43346.0,No,78.04,3541.0,3.45,3623.0,0.42,45.58 +65293,USA,2015,Tuberculosis,Neurological,11.61,6.65,7.38,19-35,Female,405174,66.98,1.13,5.13,Medication,21956.0,Yes,71.79,4810.0,0.75,11094.0,0.83,39.73 +65294,Nigeria,2021,Cancer,Chronic,3.7,12.48,4.21,36-60,Other,984500,83.01,4.32,9.62,Vaccination,13908.0,No,97.48,463.0,1.72,13781.0,0.84,20.13 +65299,USA,2013,Cholera,Metabolic,9.75,10.78,5.67,61+,Female,895784,63.99,1.54,3.31,Surgery,7258.0,Yes,90.39,2838.0,9.18,99711.0,0.7,28.6 +65300,France,2015,Alzheimer's Disease,Chronic,18.6,14.68,5.09,61+,Other,778791,91.78,2.86,4.97,Medication,16010.0,Yes,97.2,2361.0,7.15,54739.0,0.81,75.01 +65304,Germany,2018,Asthma,Viral,17.18,7.06,2.26,0-18,Female,704117,86.37,1.29,4.16,Therapy,18813.0,No,63.17,367.0,2.36,71617.0,0.67,35.92 +65310,Brazil,2021,Diabetes,Viral,1.83,13.75,5.45,61+,Female,107766,62.35,1.03,7.91,Vaccination,13054.0,Yes,80.71,1304.0,3.41,5764.0,0.67,43.33 +65323,Saudi Arabia,2014,HIV/AIDS,Genetic,0.43,0.55,3.69,61+,Other,995540,69.32,0.67,3.91,Medication,30857.0,Yes,78.41,3375.0,2.05,25094.0,0.55,79.6 +65325,Mexico,2021,Tuberculosis,Cardiovascular,4.59,0.41,8.62,19-35,Female,809674,77.69,1.58,3.97,Medication,34589.0,No,79.43,2201.0,0.9,54503.0,0.44,39.86 +65334,Argentina,2002,HIV/AIDS,Respiratory,11.47,7.85,4.83,61+,Other,350764,88.75,1.28,1.03,Vaccination,6925.0,Yes,69.97,3222.0,0.66,97637.0,0.49,89.65 +65336,Australia,2021,Hypertension,Respiratory,3.47,14.12,9.15,19-35,Other,315361,59.79,2.16,2.35,Surgery,36405.0,Yes,76.79,2881.0,7.74,63928.0,0.89,69.31 +65345,Russia,2020,COVID-19,Viral,14.43,6.5,4.59,0-18,Other,1259,95.89,4.31,7.48,Vaccination,5406.0,No,95.11,3298.0,5.42,68262.0,0.43,61.35 +65356,Australia,2023,Zika,Bacterial,15.92,2.59,9.9,36-60,Male,62554,75.54,2.06,4.64,Surgery,18474.0,Yes,75.42,3977.0,8.53,32637.0,0.44,27.68 +65367,Saudi Arabia,2021,Hepatitis,Viral,5.95,3.38,9.73,19-35,Female,866486,57.83,4.33,9.81,Therapy,22379.0,No,92.66,394.0,1.66,68333.0,0.82,34.84 +65371,Brazil,2007,Alzheimer's Disease,Respiratory,3.96,13.36,2.84,36-60,Female,860406,60.59,3.42,3.5,Vaccination,31959.0,Yes,94.24,4387.0,4.56,51848.0,0.51,66.73 +65372,China,2005,Diabetes,Respiratory,7.57,3.23,8.83,19-35,Female,232161,55.87,2.41,3.7,Surgery,11448.0,Yes,61.41,3443.0,3.25,92508.0,0.87,41.82 +65374,USA,2016,Influenza,Autoimmune,9.68,13.55,0.98,61+,Female,883628,90.5,3.03,9.8,Surgery,41569.0,No,67.56,4371.0,8.2,11337.0,0.87,77.84 +65378,Indonesia,2021,Measles,Respiratory,1.76,2.16,7.22,0-18,Other,318686,54.32,4.55,0.51,Medication,33683.0,No,84.24,2163.0,2.95,85126.0,0.43,50.62 +65390,Indonesia,2013,Hypertension,Parasitic,1.7,6.6,3.48,36-60,Female,470271,91.55,4.79,2.13,Therapy,570.0,No,76.59,1734.0,4.16,72132.0,0.41,40.61 +65393,Indonesia,2014,Ebola,Viral,11.15,9.29,4.25,0-18,Female,333131,70.16,3.27,6.86,Vaccination,44510.0,No,78.67,2616.0,1.92,94865.0,0.46,82.91 +65397,Nigeria,2011,Cholera,Bacterial,15.18,5.21,5.12,36-60,Male,606914,74.19,4.97,9.32,Surgery,44353.0,Yes,95.81,3581.0,7.74,26304.0,0.65,87.09 +65399,China,2012,Tuberculosis,Genetic,0.67,2.9,2.42,36-60,Other,374631,96.78,3.2,1.4,Surgery,33566.0,Yes,76.03,3504.0,5.33,68243.0,0.69,68.82 +65400,Saudi Arabia,2019,Parkinson's Disease,Bacterial,15.08,8.87,3.82,36-60,Other,657181,96.14,1.82,7.47,Surgery,34411.0,No,77.18,4445.0,5.71,79070.0,0.89,36.48 +65408,Saudi Arabia,2003,Dengue,Chronic,2.14,10.07,2.14,19-35,Other,885958,95.57,3.47,5.52,Surgery,21433.0,No,73.43,239.0,7.48,30541.0,0.81,40.14 +65409,India,2004,Tuberculosis,Neurological,12.8,9.12,4.64,36-60,Other,613943,80.05,2.84,5.36,Therapy,17252.0,Yes,76.94,4212.0,0.24,13935.0,0.51,52.97 +65415,Japan,2023,Cholera,Viral,19.17,6.38,6.16,36-60,Other,38458,74.74,4.56,5.81,Medication,20732.0,Yes,60.73,3266.0,8.06,95726.0,0.89,62.91 +65417,South Africa,2014,Rabies,Cardiovascular,7.84,13.58,6.01,61+,Female,731014,72.57,1.58,5.49,Medication,37181.0,Yes,50.83,399.0,6.13,85939.0,0.49,69.87 +65425,South Africa,2011,Dengue,Metabolic,8.71,6.83,1.52,19-35,Other,873054,58.38,4.87,3.95,Vaccination,37171.0,Yes,95.9,4129.0,9.01,16201.0,0.49,39.8 +65429,Italy,2004,Influenza,Viral,4.88,0.85,1.97,0-18,Male,539031,78.94,1.85,3.2,Medication,36015.0,Yes,55.56,502.0,1.66,15423.0,0.66,60.62 +65432,Indonesia,2022,Hepatitis,Viral,0.36,0.21,8.3,0-18,Male,292209,61.63,3.81,5.06,Medication,14989.0,Yes,56.18,2812.0,2.94,31915.0,0.47,76.3 +65437,France,2010,Polio,Metabolic,8.54,9.64,5.8,19-35,Other,618107,59.84,4.54,3.52,Therapy,3406.0,Yes,63.87,620.0,4.33,82216.0,0.43,43.71 +65438,USA,2022,Rabies,Infectious,0.88,8.87,4.38,61+,Female,171976,59.27,1.9,9.75,Vaccination,36620.0,Yes,65.4,2612.0,2.47,89157.0,0.87,41.6 +65444,Indonesia,2007,Zika,Cardiovascular,19.29,0.6,8.46,36-60,Other,137093,65.5,1.06,6.81,Vaccination,3534.0,Yes,68.9,2563.0,9.65,11151.0,0.49,78.28 +65452,Japan,2024,Zika,Chronic,11.2,9.61,9.98,61+,Male,259028,81.47,4.64,5.97,Surgery,17052.0,Yes,77.15,2716.0,8.23,28372.0,0.82,49.27 +65466,Canada,2005,HIV/AIDS,Autoimmune,16.72,13.49,0.92,61+,Female,211932,67.07,4.77,2.09,Surgery,36638.0,No,76.19,3140.0,4.5,26738.0,0.56,64.05 +65469,France,2006,Rabies,Respiratory,13.34,7.25,0.61,19-35,Other,336735,81.98,3.66,9.94,Therapy,6441.0,No,86.45,3655.0,2.18,74734.0,0.58,49.23 +65474,Brazil,2010,Hepatitis,Autoimmune,15.51,5.87,8.03,19-35,Other,330874,87.99,3.29,6.42,Surgery,11799.0,Yes,68.46,4818.0,5.48,62958.0,0.74,64.82 +65475,USA,2024,Zika,Infectious,7.02,3.07,3.61,61+,Other,695757,94.28,1.74,7.66,Surgery,15304.0,No,78.68,1884.0,8.44,47640.0,0.65,87.59 +65483,South Africa,2011,Rabies,Parasitic,2.31,8.56,6.81,36-60,Other,417068,57.32,0.97,0.55,Medication,47721.0,No,66.5,4241.0,3.19,27720.0,0.65,61.94 +65486,USA,2016,Diabetes,Respiratory,3.2,12.57,5.92,19-35,Male,473501,57.14,4.12,7.95,Medication,12077.0,No,55.17,2422.0,2.59,44013.0,0.77,25.21 +65487,Japan,2018,COVID-19,Parasitic,6.55,2.84,8.72,61+,Female,127909,58.75,0.64,5.96,Medication,6072.0,No,91.7,2861.0,7.28,44456.0,0.65,72.72 +65489,Mexico,2014,Leprosy,Neurological,16.82,11.4,7.65,36-60,Male,461265,85.1,2.98,6.96,Therapy,48565.0,No,77.8,3038.0,7.58,85485.0,0.84,51.39 +65497,UK,2008,Dengue,Infectious,17.07,0.55,6.78,61+,Female,182417,55.65,3.38,0.66,Vaccination,34780.0,No,86.59,4725.0,9.12,7518.0,0.66,74.92 +65498,Nigeria,2001,Rabies,Chronic,10.9,9.69,6.59,0-18,Other,643734,52.42,0.62,8.03,Surgery,8890.0,Yes,67.01,1229.0,0.48,57971.0,0.77,81.39 +65500,Canada,2010,Polio,Metabolic,8.96,7.44,0.98,19-35,Female,926477,96.72,1.78,5.23,Vaccination,23993.0,Yes,80.11,1230.0,3.33,51619.0,0.85,71.79 +65501,Turkey,2010,Parkinson's Disease,Parasitic,7.57,9.9,9.14,36-60,Other,63492,67.48,2.8,3.39,Medication,8116.0,Yes,88.54,3392.0,6.75,50457.0,0.63,84.36 +65503,South Africa,2015,Dengue,Infectious,10.24,13.73,4.29,36-60,Other,47726,58.73,1.74,5.86,Vaccination,524.0,No,86.24,4677.0,0.41,23906.0,0.85,41.13 +65508,Italy,2017,Leprosy,Autoimmune,5.5,5.81,6.15,61+,Female,669383,64.78,3.56,8.98,Surgery,29877.0,Yes,95.76,1105.0,7.25,839.0,0.63,71.73 +65517,Canada,2012,Polio,Parasitic,16.29,5.93,0.93,0-18,Other,660086,81.27,3.65,9.98,Vaccination,45295.0,Yes,69.31,1625.0,0.65,16781.0,0.54,50.26 +65523,Russia,2007,Polio,Viral,3.64,5.33,2.8,0-18,Female,53211,94.86,3.04,0.59,Therapy,26642.0,Yes,86.9,424.0,7.07,64213.0,0.58,70.97 +65525,USA,2003,Leprosy,Respiratory,15.86,0.95,5.15,0-18,Other,25587,61.34,3.16,5.52,Vaccination,15689.0,Yes,85.45,1611.0,9.3,15589.0,0.53,60.55 +65526,South Africa,2024,Hepatitis,Parasitic,6.45,0.32,3.68,0-18,Female,474653,63.38,1.77,2.12,Vaccination,15087.0,Yes,53.53,3428.0,0.34,27428.0,0.52,39.47 +65527,Brazil,2001,Measles,Chronic,0.8,14.07,3.86,19-35,Male,106169,68.96,0.88,2.05,Therapy,49118.0,Yes,95.27,3173.0,8.23,78708.0,0.46,58.98 +65541,South Korea,2007,Asthma,Autoimmune,4.0,13.36,8.92,0-18,Other,874800,95.98,3.49,7.58,Surgery,16321.0,No,86.52,2119.0,8.45,14690.0,0.88,32.6 +65543,China,2005,Tuberculosis,Cardiovascular,14.9,11.04,3.26,19-35,Male,204434,89.85,4.42,1.41,Medication,191.0,No,63.0,919.0,3.27,73280.0,0.7,44.09 +65549,France,2019,Measles,Genetic,11.83,1.82,2.03,36-60,Male,293355,89.14,4.97,2.52,Medication,20758.0,Yes,97.24,2075.0,8.85,4881.0,0.83,67.95 +65552,Japan,2015,Cholera,Chronic,15.91,14.59,8.58,61+,Male,115118,70.24,4.19,0.53,Therapy,35782.0,Yes,76.89,2189.0,2.69,43457.0,0.65,66.0 +65557,Indonesia,2011,Influenza,Genetic,12.64,2.29,9.18,61+,Other,976357,81.79,4.8,1.12,Surgery,1752.0,No,97.41,2745.0,5.87,15892.0,0.55,59.25 +65561,Nigeria,2023,Malaria,Respiratory,19.1,3.4,5.86,19-35,Female,766825,56.42,0.83,3.4,Surgery,14535.0,No,93.27,4275.0,3.25,72960.0,0.86,79.68 +65562,South Africa,2021,Influenza,Cardiovascular,16.06,1.35,3.3,19-35,Other,558382,62.65,4.11,5.4,Medication,28454.0,Yes,91.95,924.0,4.24,90618.0,0.42,82.0 +65569,Nigeria,2021,Cholera,Chronic,13.64,1.74,3.59,36-60,Other,484412,56.62,1.2,1.77,Medication,5335.0,Yes,53.11,2999.0,5.1,21673.0,0.47,84.66 +65572,Mexico,2012,Alzheimer's Disease,Neurological,18.97,4.93,3.55,0-18,Other,587906,87.31,1.38,4.25,Surgery,39196.0,No,93.42,2548.0,4.24,47291.0,0.65,81.52 +65573,Italy,2010,Diabetes,Neurological,8.5,1.01,2.71,0-18,Female,36697,95.38,3.83,9.2,Medication,178.0,Yes,68.19,1995.0,9.55,27350.0,0.56,73.45 +65579,Australia,2015,Tuberculosis,Cardiovascular,1.42,7.95,6.87,0-18,Other,786825,59.42,3.24,1.88,Surgery,6823.0,No,69.3,821.0,8.17,55227.0,0.55,89.79 +65584,Russia,2008,Influenza,Viral,11.52,14.19,4.27,19-35,Other,972626,97.79,4.59,3.74,Surgery,47644.0,Yes,64.11,4012.0,0.48,37810.0,0.42,29.89 +65590,South Africa,2012,Parkinson's Disease,Viral,4.53,8.17,2.05,19-35,Female,341836,67.38,3.23,1.6,Vaccination,12748.0,No,58.18,1406.0,7.21,24453.0,0.65,29.08 +65598,Canada,2014,Zika,Respiratory,0.68,4.11,2.07,0-18,Other,572773,85.01,3.18,2.59,Surgery,7826.0,No,65.07,537.0,6.72,94495.0,0.67,80.01 +65601,Turkey,2023,Measles,Metabolic,8.17,13.69,0.63,36-60,Male,55364,52.2,2.91,6.86,Medication,45842.0,Yes,58.57,4790.0,0.11,97345.0,0.7,40.26 +65604,Saudi Arabia,2023,Cholera,Cardiovascular,7.93,4.75,6.45,36-60,Male,610055,72.89,4.51,2.01,Surgery,17942.0,Yes,61.35,4738.0,4.0,43313.0,0.82,69.6 +65616,South Africa,2020,Alzheimer's Disease,Bacterial,10.13,9.63,7.13,61+,Male,997413,89.33,0.68,4.04,Therapy,22567.0,No,95.22,1388.0,2.16,39582.0,0.41,74.98 +65632,Australia,2018,COVID-19,Chronic,17.08,4.62,6.71,61+,Male,53431,92.46,2.68,6.51,Surgery,11531.0,Yes,76.49,3490.0,1.88,81897.0,0.67,53.5 +65634,Italy,2006,Dengue,Bacterial,8.67,13.64,4.7,36-60,Female,148099,88.01,2.79,7.67,Therapy,34032.0,Yes,80.29,1271.0,1.04,15191.0,0.45,49.26 +65635,Saudi Arabia,2011,Leprosy,Chronic,0.75,13.78,3.05,0-18,Other,996548,94.82,3.84,3.57,Therapy,9726.0,Yes,61.69,650.0,9.95,99594.0,0.74,80.17 +65637,Turkey,2003,Rabies,Viral,12.8,0.48,5.09,0-18,Other,955312,99.4,3.7,0.98,Medication,2025.0,Yes,80.4,1221.0,9.24,40028.0,0.75,62.06 +65646,Turkey,2006,HIV/AIDS,Respiratory,6.25,0.39,1.04,61+,Male,563459,77.31,1.06,6.36,Medication,7171.0,No,84.57,3454.0,7.99,18898.0,0.62,87.32 +65648,India,2023,Diabetes,Bacterial,17.52,3.73,1.45,19-35,Other,140283,89.08,1.85,9.9,Vaccination,42153.0,Yes,70.57,4942.0,6.28,7462.0,0.54,43.33 +65663,Australia,2009,Cancer,Respiratory,17.38,7.93,3.87,19-35,Other,791467,72.51,0.86,5.53,Medication,41784.0,Yes,81.94,3272.0,1.8,35232.0,0.7,42.64 +65677,France,2015,Parkinson's Disease,Cardiovascular,2.86,14.55,4.02,61+,Other,851097,69.08,2.33,8.21,Surgery,4949.0,Yes,72.21,806.0,4.47,87698.0,0.72,44.21 +65682,Australia,2012,Hypertension,Respiratory,5.27,13.01,0.28,19-35,Male,148473,52.99,3.63,1.06,Therapy,26898.0,Yes,84.22,4871.0,1.44,27996.0,0.85,89.42 +65705,South Korea,2017,Parkinson's Disease,Autoimmune,1.73,2.39,1.66,19-35,Male,841060,84.07,0.96,0.79,Medication,1831.0,No,78.46,1584.0,8.94,64139.0,0.68,31.38 +65712,China,2008,Alzheimer's Disease,Neurological,3.04,13.56,8.03,0-18,Female,93852,70.84,4.18,4.0,Therapy,116.0,No,91.81,2917.0,3.21,5303.0,0.72,45.15 +65713,Brazil,2002,Hepatitis,Viral,17.66,7.22,3.7,0-18,Other,236823,57.04,1.34,4.34,Medication,22621.0,No,67.64,3769.0,2.04,22784.0,0.86,57.46 +65715,Saudi Arabia,2020,Rabies,Neurological,1.69,10.76,7.83,0-18,Female,298332,93.5,4.06,3.85,Medication,20146.0,No,69.44,2692.0,7.15,10991.0,0.63,85.45 +65716,Mexico,2011,Hepatitis,Bacterial,9.8,0.9,1.65,36-60,Female,534824,64.31,4.66,1.72,Medication,3993.0,Yes,65.96,2536.0,0.69,80929.0,0.46,66.32 +65722,UK,2002,Ebola,Infectious,18.19,7.81,3.71,36-60,Female,149077,81.89,3.05,8.99,Surgery,9165.0,No,96.87,3927.0,1.77,87795.0,0.47,31.66 +65726,Turkey,2008,Hepatitis,Parasitic,16.06,14.48,7.8,36-60,Female,868520,69.16,3.08,2.5,Vaccination,49875.0,No,90.12,1456.0,9.55,72964.0,0.51,29.22 +65727,Japan,2024,Measles,Neurological,4.66,14.65,5.54,36-60,Female,177441,85.76,2.08,3.07,Therapy,45417.0,No,51.37,3126.0,5.73,64630.0,0.52,41.72 +65729,Mexico,2015,Alzheimer's Disease,Parasitic,4.15,7.75,9.89,19-35,Female,726272,98.03,2.1,3.52,Surgery,49390.0,Yes,98.85,1443.0,0.12,6683.0,0.48,62.54 +65743,Argentina,2016,Tuberculosis,Parasitic,1.91,5.25,2.15,36-60,Female,750159,75.1,1.4,6.98,Surgery,37189.0,No,54.73,2918.0,0.36,39481.0,0.7,87.71 +65748,Australia,2016,Polio,Metabolic,6.83,0.12,4.82,36-60,Other,714094,78.89,4.42,5.25,Surgery,17883.0,No,67.24,776.0,1.38,54036.0,0.89,79.84 +65753,Mexico,2016,Zika,Neurological,19.13,3.76,8.49,61+,Female,60736,96.25,2.69,3.57,Surgery,47507.0,Yes,87.99,4502.0,1.74,93512.0,0.87,56.93 +65760,USA,2009,Asthma,Bacterial,6.28,9.37,5.91,19-35,Other,395349,81.13,1.62,5.07,Surgery,18389.0,Yes,78.34,163.0,9.24,19023.0,0.71,69.75 +65762,Russia,2005,Polio,Infectious,17.95,13.65,9.16,0-18,Other,90655,72.16,1.96,5.11,Surgery,1663.0,Yes,73.43,2907.0,9.81,90144.0,0.72,45.96 +65766,Nigeria,2005,Hypertension,Neurological,6.8,2.15,4.56,36-60,Male,404340,95.27,4.54,1.78,Vaccination,8407.0,No,55.86,677.0,9.36,32410.0,0.55,59.35 +65767,USA,2002,Ebola,Metabolic,15.69,13.06,2.97,61+,Female,835775,87.18,2.1,6.95,Medication,17597.0,Yes,86.04,1323.0,1.89,61152.0,0.72,64.07 +65769,Japan,2009,Hypertension,Metabolic,8.84,1.34,6.17,19-35,Other,777472,68.7,2.57,2.12,Vaccination,32121.0,No,84.29,299.0,7.12,3226.0,0.9,61.69 +65774,Brazil,2000,Parkinson's Disease,Respiratory,3.38,1.2,2.13,61+,Other,845231,91.39,1.39,3.9,Therapy,7677.0,Yes,53.49,3582.0,4.31,2577.0,0.5,55.34 +65776,Saudi Arabia,2018,Tuberculosis,Bacterial,12.02,6.39,8.73,36-60,Male,789845,82.36,4.76,6.28,Surgery,18354.0,Yes,91.49,4713.0,4.68,38674.0,0.53,55.75 +65779,Turkey,2008,Dengue,Viral,15.67,6.8,1.09,19-35,Other,833058,63.8,1.91,9.76,Surgery,43438.0,No,51.42,2943.0,8.57,85927.0,0.58,89.72 +65784,Japan,2007,Measles,Bacterial,1.68,6.07,1.88,61+,Other,309261,79.91,4.93,6.11,Vaccination,6954.0,Yes,51.17,109.0,2.26,15612.0,0.83,64.95 +65786,Turkey,2023,Polio,Autoimmune,10.31,9.01,8.53,36-60,Female,332667,57.54,2.57,2.81,Therapy,2584.0,No,61.3,4768.0,6.16,53758.0,0.58,36.47 +65787,Australia,2022,Tuberculosis,Viral,8.86,14.94,3.63,19-35,Other,327509,90.54,0.89,4.34,Surgery,11462.0,No,73.04,181.0,8.86,58134.0,0.89,61.64 +65791,India,2022,Cholera,Respiratory,3.29,1.56,8.68,0-18,Male,728817,90.79,2.41,5.38,Surgery,35786.0,No,90.21,2575.0,6.56,86123.0,0.8,20.92 +65795,Saudi Arabia,2011,Hypertension,Chronic,7.43,8.42,2.09,0-18,Female,361100,96.92,4.36,6.86,Vaccination,12461.0,Yes,65.71,1704.0,7.52,1431.0,0.69,73.26 +65800,China,2021,Polio,Genetic,18.18,10.05,5.78,61+,Other,188483,57.15,2.28,3.42,Therapy,11351.0,No,50.88,3025.0,0.02,83848.0,0.79,48.77 +65803,China,2011,Cholera,Bacterial,10.16,0.96,8.56,36-60,Other,267355,81.31,4.93,9.2,Surgery,1824.0,No,78.09,1566.0,1.46,55004.0,0.59,75.03 +65804,USA,2017,Tuberculosis,Infectious,12.94,0.96,6.51,61+,Other,991399,81.85,3.29,6.75,Therapy,42229.0,No,92.99,567.0,3.37,46462.0,0.58,66.18 +65823,Argentina,2008,Tuberculosis,Genetic,19.47,9.11,0.18,0-18,Male,93099,78.89,4.29,8.19,Surgery,43929.0,No,98.79,4931.0,2.49,84020.0,0.75,63.77 +65828,Canada,2007,Diabetes,Genetic,5.22,13.1,9.0,0-18,Male,178634,58.31,1.98,9.95,Medication,28846.0,No,90.63,1499.0,8.12,35744.0,0.49,41.07 +65829,South Korea,2022,Alzheimer's Disease,Viral,6.14,6.67,3.94,19-35,Male,748757,67.02,0.88,2.41,Medication,36765.0,No,97.21,387.0,2.53,64286.0,0.5,79.73 +65844,USA,2001,HIV/AIDS,Bacterial,6.26,13.43,1.3,61+,Male,680293,62.09,2.88,3.22,Vaccination,34095.0,Yes,88.42,4782.0,2.98,49345.0,0.55,51.04 +65847,Brazil,2019,Zika,Bacterial,14.0,1.6,5.39,0-18,Other,154218,87.89,4.03,5.34,Therapy,36169.0,No,53.94,2562.0,3.1,89881.0,0.77,59.21 +65848,Argentina,2004,Ebola,Cardiovascular,8.36,3.75,1.33,61+,Female,885424,72.07,4.28,3.92,Vaccination,21279.0,Yes,89.48,1313.0,7.72,54765.0,0.49,70.82 +65866,South Africa,2022,Dengue,Genetic,14.09,6.23,8.45,19-35,Other,978457,74.4,0.65,9.08,Therapy,12197.0,No,70.32,1508.0,5.93,99415.0,0.44,88.24 +65877,Nigeria,2003,Ebola,Chronic,1.99,11.42,3.41,0-18,Female,98116,72.88,2.91,1.89,Surgery,11305.0,Yes,97.57,4462.0,3.27,864.0,0.83,44.4 +65878,Saudi Arabia,2000,Cholera,Viral,19.32,0.6,0.61,61+,Other,579891,50.6,3.05,8.22,Surgery,5488.0,No,87.96,2584.0,8.55,63229.0,0.55,32.55 +65881,South Korea,2024,Parkinson's Disease,Chronic,18.54,10.52,5.74,61+,Male,496322,79.94,4.71,2.34,Vaccination,40354.0,Yes,75.48,1664.0,0.47,9475.0,0.71,74.31 +65888,Mexico,2008,COVID-19,Metabolic,7.17,3.97,1.22,61+,Male,845249,71.31,1.15,6.53,Therapy,47990.0,Yes,80.28,3652.0,8.05,14080.0,0.82,68.2 +65894,Nigeria,2005,Cholera,Viral,15.21,5.72,7.26,36-60,Male,481275,52.72,4.0,1.53,Therapy,29294.0,No,53.23,1715.0,6.83,95931.0,0.79,70.92 +65898,Brazil,2024,Malaria,Parasitic,10.54,7.97,7.26,36-60,Male,805340,89.53,3.93,1.97,Surgery,14342.0,No,52.69,3275.0,2.77,96702.0,0.67,31.84 +65902,India,2003,Malaria,Neurological,3.55,14.83,6.96,61+,Female,339232,73.23,3.32,8.94,Vaccination,22406.0,No,81.56,2984.0,4.03,87678.0,0.41,77.9 +65908,Germany,2013,Zika,Chronic,4.17,6.82,0.98,19-35,Other,18833,51.04,4.74,4.91,Vaccination,44067.0,No,85.09,3246.0,0.21,26943.0,0.72,33.24 +65910,Indonesia,2006,Cancer,Metabolic,5.95,9.22,6.83,36-60,Female,820436,70.47,4.99,4.87,Therapy,41056.0,Yes,79.58,4446.0,1.24,20462.0,0.79,34.89 +65925,South Africa,2018,Alzheimer's Disease,Respiratory,14.2,3.7,8.86,61+,Male,678656,66.97,2.18,8.44,Vaccination,34184.0,Yes,82.36,84.0,2.03,16515.0,0.72,86.39 +65933,Mexico,2013,Measles,Neurological,17.8,1.51,7.36,36-60,Male,353279,73.55,3.13,1.72,Therapy,9078.0,No,56.24,4914.0,4.29,19262.0,0.49,42.38 +65953,UK,2017,Tuberculosis,Autoimmune,4.89,9.55,0.24,36-60,Other,357636,60.39,1.84,0.58,Therapy,20382.0,No,84.65,2375.0,2.04,39816.0,0.86,33.53 +65954,Australia,2010,Hepatitis,Neurological,8.16,1.96,4.61,0-18,Male,850617,54.83,3.6,5.01,Medication,31979.0,No,51.13,1242.0,7.16,36106.0,0.49,25.12 +65956,France,2008,Cholera,Chronic,8.37,2.32,4.42,36-60,Female,312353,85.6,4.17,4.46,Medication,4358.0,Yes,90.38,4298.0,0.92,37759.0,0.86,51.31 +65959,Italy,2019,Rabies,Autoimmune,11.82,5.23,1.05,36-60,Male,741946,74.21,2.2,8.05,Medication,12148.0,Yes,93.15,905.0,8.35,90653.0,0.41,21.64 +65966,Nigeria,2024,Cholera,Bacterial,15.02,12.16,6.35,36-60,Other,712580,97.29,0.94,0.66,Medication,1392.0,No,76.4,3379.0,1.16,39281.0,0.63,47.59 +65978,Mexico,2001,Alzheimer's Disease,Viral,4.26,2.11,6.96,0-18,Male,572393,99.52,3.91,5.53,Medication,18459.0,No,75.32,4462.0,0.13,77613.0,0.54,76.29 +65982,Saudi Arabia,2001,Rabies,Respiratory,18.96,5.14,5.41,19-35,Female,809846,89.55,2.11,3.93,Medication,22267.0,Yes,87.63,2772.0,9.0,82430.0,0.81,83.5 +65983,India,2000,Malaria,Infectious,0.28,10.02,8.56,0-18,Other,108767,72.29,4.61,5.05,Therapy,36888.0,No,82.98,2986.0,5.27,5645.0,0.59,89.94 +65993,Turkey,2022,Cholera,Parasitic,8.77,11.37,3.07,36-60,Male,700853,87.01,2.71,9.2,Vaccination,37613.0,No,58.4,3710.0,8.28,3053.0,0.63,46.52 +66013,South Korea,2021,Alzheimer's Disease,Chronic,17.9,2.26,8.21,0-18,Male,840337,62.66,4.21,7.29,Medication,8110.0,Yes,92.57,374.0,9.19,24973.0,0.88,28.2 +66016,Japan,2023,Measles,Bacterial,8.67,11.21,0.39,61+,Female,658648,98.29,1.74,8.25,Therapy,38641.0,Yes,96.61,4474.0,9.55,83232.0,0.47,61.07 +66021,Argentina,2017,Polio,Infectious,5.3,2.75,6.83,19-35,Other,501427,50.34,1.0,5.12,Surgery,3502.0,Yes,72.58,4153.0,3.35,76288.0,0.56,24.71 +66024,Mexico,2005,Ebola,Bacterial,18.61,13.71,6.84,36-60,Male,453440,74.09,1.89,5.11,Medication,30104.0,Yes,65.09,37.0,2.94,49254.0,0.51,81.46 +66025,Indonesia,2016,Cholera,Parasitic,13.72,9.65,9.41,61+,Male,452590,96.74,2.2,6.83,Medication,15175.0,No,65.27,4063.0,3.79,45232.0,0.41,81.4 +66026,Brazil,2000,HIV/AIDS,Viral,2.39,7.36,2.59,36-60,Female,99716,96.83,2.94,2.15,Therapy,9540.0,Yes,98.54,4810.0,3.99,29982.0,0.5,34.07 +66027,Nigeria,2007,HIV/AIDS,Chronic,8.9,12.12,3.55,19-35,Other,364243,87.52,3.56,8.74,Therapy,16649.0,No,67.41,3646.0,7.27,79722.0,0.63,85.39 +66029,Argentina,2000,Parkinson's Disease,Parasitic,1.5,3.08,3.25,0-18,Female,633233,98.9,4.95,2.83,Therapy,24620.0,Yes,89.06,3313.0,6.2,39011.0,0.68,39.71 +66039,Argentina,2010,Dengue,Chronic,11.73,0.39,1.31,19-35,Male,440114,81.02,3.46,8.07,Surgery,8004.0,Yes,74.13,4050.0,2.32,72266.0,0.48,50.61 +66058,South Korea,2020,HIV/AIDS,Autoimmune,18.21,0.75,2.63,19-35,Male,843309,56.74,2.5,5.9,Vaccination,13114.0,No,81.04,1781.0,2.8,66004.0,0.48,57.46 +66061,Mexico,2007,Diabetes,Cardiovascular,11.57,11.62,7.01,19-35,Female,338401,63.71,1.28,6.17,Medication,2164.0,No,55.53,1750.0,5.53,23043.0,0.79,44.81 +66062,Indonesia,2015,Cholera,Metabolic,6.8,2.45,7.09,61+,Other,726040,68.56,2.59,4.35,Vaccination,48186.0,Yes,83.26,1495.0,9.09,9341.0,0.71,60.32 +66065,Japan,2012,Zika,Neurological,8.6,7.05,7.28,19-35,Other,176585,90.25,0.93,8.45,Surgery,21957.0,No,95.84,1900.0,7.88,37263.0,0.87,46.61 +66080,Japan,2016,Malaria,Autoimmune,16.87,2.63,9.15,19-35,Male,894286,54.59,1.88,5.8,Surgery,24783.0,Yes,66.4,278.0,4.93,91692.0,0.44,67.83 +66087,Brazil,2021,Influenza,Cardiovascular,4.04,8.28,1.15,0-18,Female,60668,87.27,3.83,8.75,Therapy,49278.0,No,66.76,957.0,8.95,90378.0,0.63,61.99 +66092,USA,2001,Alzheimer's Disease,Cardiovascular,6.08,13.13,4.99,0-18,Other,637081,70.65,0.59,0.68,Medication,29665.0,Yes,82.07,4805.0,6.3,815.0,0.61,83.1 +66094,Nigeria,2006,Asthma,Genetic,14.27,8.35,0.83,61+,Male,310311,75.58,1.3,9.33,Therapy,41435.0,Yes,81.09,3671.0,3.63,19228.0,0.87,34.17 +66098,India,2000,Tuberculosis,Autoimmune,14.39,4.91,4.16,19-35,Other,625135,50.43,2.73,5.95,Surgery,36179.0,No,91.0,1147.0,4.0,2912.0,0.88,29.78 +66108,China,2006,HIV/AIDS,Metabolic,12.16,13.4,3.98,61+,Female,44425,74.28,0.51,5.28,Therapy,9079.0,No,63.66,4898.0,0.85,80777.0,0.51,28.69 +66110,China,2012,Tuberculosis,Genetic,12.13,1.73,4.95,19-35,Female,58344,59.54,4.91,5.75,Medication,14638.0,Yes,76.19,4768.0,1.38,12335.0,0.89,36.05 +66118,France,2020,Hepatitis,Infectious,1.1,7.92,7.66,19-35,Female,121796,80.26,2.9,0.56,Therapy,33605.0,No,50.19,236.0,3.33,15611.0,0.45,59.42 +66119,Australia,2010,Leprosy,Parasitic,17.53,12.61,9.46,61+,Other,63190,68.36,1.11,9.41,Surgery,19667.0,No,74.58,2137.0,6.08,64003.0,0.71,37.53 +66121,Brazil,2008,Hepatitis,Bacterial,17.72,4.27,5.09,61+,Other,238083,84.93,3.1,8.94,Medication,24864.0,No,79.57,3855.0,0.49,93687.0,0.57,58.53 +66126,Australia,2018,Leprosy,Viral,1.88,4.14,5.95,19-35,Other,781332,87.18,1.44,4.12,Surgery,40265.0,No,83.12,1142.0,2.42,69152.0,0.73,82.87 +66129,India,2008,Measles,Genetic,11.88,1.89,6.21,36-60,Other,642816,96.87,3.16,3.85,Surgery,43767.0,No,86.36,1931.0,1.02,46429.0,0.63,82.68 +66131,Argentina,2014,Hypertension,Genetic,2.14,12.97,6.38,36-60,Female,284269,89.97,1.63,5.58,Surgery,39538.0,Yes,96.58,1817.0,4.15,77718.0,0.89,72.27 +66142,Brazil,2023,Rabies,Respiratory,4.23,8.96,2.61,0-18,Female,148804,54.69,3.5,1.94,Surgery,16429.0,No,71.16,4247.0,0.85,93550.0,0.64,47.18 +66144,Japan,2017,Rabies,Parasitic,19.9,14.74,2.47,61+,Other,152931,60.66,4.08,2.09,Medication,35293.0,No,88.72,2047.0,6.18,71488.0,0.76,26.94 +66145,Saudi Arabia,2024,COVID-19,Genetic,4.75,9.34,2.07,61+,Other,353534,51.18,1.98,9.19,Vaccination,39407.0,No,52.0,4437.0,0.83,11409.0,0.85,88.3 +66148,France,2012,Tuberculosis,Bacterial,19.29,10.69,8.9,19-35,Male,763277,71.48,4.85,7.28,Vaccination,4430.0,Yes,65.16,1232.0,1.39,5332.0,0.82,81.69 +66151,Argentina,2016,Asthma,Respiratory,9.87,4.88,2.77,61+,Female,899085,52.57,2.04,5.07,Therapy,31455.0,Yes,67.35,2295.0,0.66,68494.0,0.74,48.23 +66163,UK,2008,Malaria,Infectious,1.68,0.54,9.97,61+,Male,245598,94.14,3.46,7.62,Medication,4195.0,Yes,59.02,151.0,7.31,39608.0,0.87,25.51 +66165,Japan,2022,Measles,Neurological,14.51,3.99,4.98,61+,Female,752288,92.99,2.31,6.11,Vaccination,37934.0,Yes,67.76,728.0,0.81,89997.0,0.4,76.26 +66169,India,2017,Polio,Respiratory,6.82,13.84,9.61,61+,Male,616576,95.88,3.81,8.29,Surgery,12605.0,Yes,74.65,2829.0,0.87,52088.0,0.57,45.77 +66170,Turkey,2012,Influenza,Metabolic,11.98,0.51,9.84,0-18,Other,376587,88.25,1.58,5.91,Surgery,5480.0,No,74.21,3982.0,9.97,58098.0,0.62,46.07 +66173,Saudi Arabia,2003,Rabies,Respiratory,0.68,8.24,2.36,0-18,Other,82122,88.03,0.69,7.47,Surgery,43335.0,No,57.84,2751.0,8.28,68044.0,0.87,81.38 +66177,UK,2024,Polio,Viral,14.14,13.12,6.84,19-35,Female,481235,51.67,2.79,7.21,Surgery,33245.0,No,58.35,2092.0,8.1,68780.0,0.7,52.69 +66179,Italy,2012,Tuberculosis,Neurological,10.37,13.24,3.34,0-18,Other,603446,53.23,3.07,9.04,Therapy,7317.0,Yes,67.2,2171.0,2.19,27719.0,0.59,53.92 +66190,Turkey,2014,COVID-19,Infectious,8.8,12.23,9.71,19-35,Other,20611,52.61,1.19,4.17,Therapy,9576.0,No,60.76,3338.0,3.77,48153.0,0.41,36.09 +66204,Brazil,2002,Rabies,Genetic,7.74,12.69,4.36,0-18,Female,616597,86.1,3.38,9.82,Surgery,49376.0,No,89.81,498.0,0.46,30347.0,0.51,87.83 +66212,Germany,2002,Parkinson's Disease,Metabolic,11.9,2.15,3.7,36-60,Other,781297,72.66,2.74,5.27,Vaccination,21215.0,No,85.09,1826.0,3.02,90422.0,0.83,65.62 +66226,South Korea,2002,Parkinson's Disease,Viral,18.93,12.21,1.92,61+,Other,400152,85.82,2.04,0.97,Vaccination,35322.0,No,55.15,849.0,0.58,94643.0,0.43,69.35 +66228,Turkey,2011,Zika,Cardiovascular,4.2,10.4,4.17,36-60,Female,967539,88.22,0.64,7.4,Surgery,8541.0,Yes,71.14,3895.0,7.08,72012.0,0.82,82.12 +66229,Nigeria,2004,Parkinson's Disease,Viral,4.22,11.49,8.82,61+,Female,270832,53.59,1.36,2.85,Medication,28323.0,No,74.9,693.0,0.28,95082.0,0.9,57.26 +66230,South Korea,2024,Rabies,Metabolic,8.55,1.74,9.98,61+,Male,89147,60.79,3.97,3.88,Therapy,17581.0,Yes,62.43,3637.0,2.7,21624.0,0.82,26.23 +66233,Argentina,2010,Measles,Genetic,10.87,8.59,7.62,61+,Other,497928,61.8,0.68,9.96,Therapy,2035.0,No,88.42,837.0,1.42,15430.0,0.65,82.32 +66234,China,2020,HIV/AIDS,Bacterial,8.68,10.1,7.73,19-35,Male,651639,99.63,4.25,9.24,Medication,33996.0,No,50.46,1049.0,5.14,75305.0,0.53,87.94 +66240,Russia,2002,Rabies,Bacterial,13.82,6.69,1.04,61+,Female,606824,97.79,4.68,5.65,Therapy,31129.0,Yes,85.19,4142.0,5.16,11144.0,0.7,49.11 +66243,Saudi Arabia,2013,Hepatitis,Bacterial,8.83,13.01,9.81,36-60,Other,82830,67.42,3.6,9.55,Vaccination,44533.0,No,62.58,1980.0,6.07,40334.0,0.56,53.61 +66250,Germany,2016,HIV/AIDS,Neurological,19.18,12.7,8.8,0-18,Male,682583,71.03,4.95,7.2,Therapy,48248.0,Yes,75.83,4335.0,1.94,6370.0,0.47,46.24 +66256,Japan,2012,Zika,Metabolic,19.1,7.56,1.33,36-60,Male,902671,73.47,4.46,7.4,Therapy,42034.0,Yes,64.54,1773.0,3.53,74117.0,0.54,54.47 +66257,France,2015,Cholera,Chronic,13.49,4.09,7.65,36-60,Male,441550,74.88,3.6,9.79,Medication,26465.0,No,91.0,1113.0,1.24,21652.0,0.64,63.13 +66267,Turkey,2014,Malaria,Metabolic,11.77,2.75,1.78,19-35,Female,927093,58.51,2.65,6.58,Vaccination,16112.0,Yes,63.84,3537.0,5.82,88221.0,0.88,68.57 +66269,UK,2014,Asthma,Respiratory,0.56,5.03,8.99,36-60,Male,32913,54.38,3.68,7.35,Surgery,24431.0,Yes,60.97,3709.0,0.19,77190.0,0.76,22.26 +66279,Japan,2002,Parkinson's Disease,Parasitic,6.12,11.71,1.1,19-35,Male,49688,74.93,3.91,9.77,Surgery,14273.0,No,96.97,3624.0,2.04,84894.0,0.45,34.11 +66290,China,2024,Measles,Infectious,19.28,4.8,9.33,61+,Male,8762,79.06,3.1,0.7,Surgery,7144.0,Yes,61.96,3705.0,5.22,45579.0,0.65,40.54 +66298,Mexico,2022,Measles,Viral,18.17,2.31,0.71,36-60,Male,312295,81.83,1.53,5.42,Surgery,34791.0,No,54.38,4592.0,3.37,27805.0,0.6,51.68 +66311,Mexico,2009,Tuberculosis,Parasitic,9.75,0.85,3.14,0-18,Other,114711,73.68,1.44,3.68,Surgery,20198.0,Yes,71.16,3656.0,7.61,22273.0,0.51,63.08 +66323,Japan,2014,Hepatitis,Metabolic,13.82,11.93,8.63,0-18,Female,479539,73.25,1.35,2.01,Surgery,46766.0,Yes,94.63,4109.0,3.05,8555.0,0.42,45.76 +66327,South Africa,2000,Measles,Autoimmune,12.52,11.18,4.37,19-35,Male,374408,98.6,3.12,0.94,Vaccination,20189.0,Yes,56.49,1909.0,8.17,51402.0,0.85,86.14 +66329,Nigeria,2005,Dengue,Cardiovascular,8.5,13.36,8.58,0-18,Male,748722,62.02,1.55,1.13,Therapy,23990.0,Yes,95.62,980.0,0.01,72484.0,0.74,66.87 +66333,Nigeria,2007,Tuberculosis,Parasitic,14.28,8.71,6.43,0-18,Male,7317,50.15,2.54,0.83,Therapy,40288.0,Yes,79.49,1877.0,3.67,48075.0,0.78,88.08 +66334,Mexico,2013,Dengue,Infectious,1.71,10.9,4.27,0-18,Other,587542,50.0,1.03,2.86,Surgery,16433.0,No,61.25,4427.0,2.46,58414.0,0.74,46.37 +66342,Turkey,2004,Tuberculosis,Infectious,9.53,8.0,7.39,36-60,Female,549887,51.66,2.43,4.84,Vaccination,38856.0,Yes,81.56,4840.0,7.68,57415.0,0.61,22.82 +66346,Turkey,2016,Leprosy,Genetic,19.98,1.1,8.9,0-18,Other,137330,60.52,2.38,9.07,Therapy,28773.0,No,91.38,3103.0,6.33,59145.0,0.71,42.76 +66348,Brazil,2002,COVID-19,Metabolic,16.44,13.0,6.2,36-60,Other,944884,56.03,2.41,9.47,Medication,44781.0,No,61.65,1190.0,5.71,58431.0,0.77,89.94 +66351,Japan,2021,Zika,Genetic,15.87,1.92,1.47,36-60,Male,556800,76.3,4.14,9.22,Vaccination,49889.0,Yes,53.21,2306.0,9.05,8290.0,0.56,83.32 +66353,Russia,2005,Polio,Infectious,18.25,12.7,9.04,0-18,Male,52500,87.36,4.77,1.75,Vaccination,22234.0,Yes,64.09,1644.0,3.19,86756.0,0.79,34.39 +66354,Nigeria,2017,Hepatitis,Metabolic,5.12,9.04,0.71,61+,Male,955597,99.2,3.2,2.1,Medication,18487.0,No,91.0,1913.0,1.73,38219.0,0.88,62.26 +66356,South Africa,2002,Asthma,Respiratory,10.68,13.71,9.08,0-18,Female,481230,75.12,1.5,4.59,Vaccination,13034.0,Yes,55.46,4050.0,2.47,25285.0,0.66,71.17 +66361,Russia,2009,Malaria,Chronic,2.45,0.48,3.49,0-18,Other,903323,72.53,3.6,1.16,Medication,9536.0,No,53.63,3629.0,0.15,19341.0,0.57,46.87 +66369,Russia,2016,Cholera,Neurological,7.14,13.01,0.55,19-35,Male,185053,64.33,2.67,9.14,Therapy,33898.0,Yes,69.63,1450.0,6.76,5874.0,0.42,88.82 +66372,Japan,2012,COVID-19,Infectious,15.2,2.71,7.07,0-18,Female,530405,61.85,1.06,9.34,Surgery,14526.0,No,70.33,2604.0,2.93,18381.0,0.69,70.94 +66374,Japan,2008,Cancer,Parasitic,13.26,5.42,6.71,19-35,Other,467070,68.23,3.2,3.17,Medication,18124.0,Yes,79.61,1749.0,1.96,64095.0,0.49,43.75 +66381,India,2012,Alzheimer's Disease,Chronic,2.39,0.49,5.18,0-18,Female,785760,97.09,2.7,1.16,Medication,17301.0,Yes,80.59,3245.0,8.7,91898.0,0.73,61.07 +66383,Germany,2000,Hepatitis,Neurological,19.19,7.01,3.39,36-60,Male,696053,78.08,2.38,1.85,Vaccination,16455.0,Yes,85.83,1801.0,7.36,26658.0,0.61,26.97 +66393,Nigeria,2022,Tuberculosis,Cardiovascular,8.31,1.38,3.84,36-60,Male,220551,52.73,3.61,6.64,Surgery,10548.0,Yes,95.01,697.0,7.27,20916.0,0.86,42.95 +66407,India,2023,Influenza,Neurological,1.0,13.49,7.15,0-18,Other,264168,80.83,1.57,1.29,Vaccination,47834.0,No,69.52,668.0,5.97,46714.0,0.88,40.13 +66409,Nigeria,2015,Tuberculosis,Viral,13.63,7.49,6.44,36-60,Female,135989,96.7,2.92,1.95,Medication,19597.0,No,94.53,625.0,3.99,29590.0,0.82,25.78 +66410,South Africa,2003,Parkinson's Disease,Infectious,6.98,14.98,0.34,0-18,Female,592834,92.09,4.65,5.92,Therapy,29886.0,Yes,61.11,4952.0,7.28,7583.0,0.48,87.76 +66418,China,2014,Tuberculosis,Genetic,8.67,6.72,9.92,61+,Male,222806,83.58,4.03,5.49,Therapy,38769.0,No,65.37,432.0,5.0,57087.0,0.43,76.73 +66425,Russia,2012,Influenza,Infectious,14.42,3.44,8.3,0-18,Male,963813,91.42,4.79,1.8,Vaccination,5991.0,Yes,96.83,1278.0,6.8,92999.0,0.55,86.21 +66433,Mexico,2011,Hepatitis,Neurological,5.73,2.02,0.67,36-60,Male,470298,96.26,3.23,7.44,Surgery,42353.0,Yes,58.94,4401.0,3.83,70760.0,0.68,21.3 +66441,Turkey,2012,Tuberculosis,Respiratory,10.67,10.81,9.37,0-18,Other,96083,61.03,4.47,6.24,Medication,21738.0,Yes,60.26,580.0,8.47,84312.0,0.88,86.12 +66442,Germany,2022,Diabetes,Genetic,6.75,2.71,1.33,36-60,Female,340147,91.2,4.24,1.18,Medication,1314.0,Yes,67.81,2022.0,3.2,64788.0,0.69,60.69 +66446,Indonesia,2021,Ebola,Infectious,6.27,7.52,0.54,61+,Other,150895,65.97,4.32,0.53,Medication,1006.0,No,84.75,2097.0,7.35,73940.0,0.54,66.22 +66450,South Korea,2021,Ebola,Metabolic,15.16,8.95,4.94,61+,Female,316492,54.33,4.59,5.51,Medication,36924.0,Yes,77.42,3842.0,6.84,72716.0,0.42,73.77 +66452,Italy,2011,COVID-19,Chronic,14.6,2.52,0.43,19-35,Other,91229,86.19,4.75,7.0,Surgery,13156.0,Yes,91.63,2174.0,4.28,11879.0,0.74,72.17 +66457,Turkey,2011,Dengue,Metabolic,6.77,6.41,6.06,36-60,Female,453445,89.29,3.68,6.48,Vaccination,35298.0,Yes,93.44,2432.0,8.82,1217.0,0.45,33.84 +66464,UK,2020,Ebola,Metabolic,12.92,1.58,0.61,61+,Male,77652,61.96,4.47,8.85,Surgery,38612.0,Yes,68.61,2209.0,4.24,28166.0,0.47,45.31 +66467,Japan,2006,Ebola,Parasitic,6.82,11.94,2.87,19-35,Female,786726,92.25,0.74,4.58,Vaccination,31519.0,No,76.02,3311.0,9.68,30514.0,0.61,63.28 +66474,France,2003,Leprosy,Bacterial,18.48,7.3,1.75,19-35,Female,911887,59.15,3.56,2.74,Medication,35096.0,No,85.41,113.0,8.24,24405.0,0.65,77.46 +66481,Canada,2004,Hypertension,Infectious,4.53,11.98,6.3,61+,Other,901963,59.81,2.7,3.25,Therapy,4391.0,No,88.95,1012.0,6.29,12549.0,0.41,63.77 +66490,Russia,2016,Hypertension,Chronic,13.37,3.89,5.68,36-60,Other,493375,77.97,1.42,10.0,Medication,32320.0,No,79.19,718.0,9.56,69509.0,0.47,38.84 +66496,South Africa,2022,Zika,Infectious,17.02,1.25,2.85,19-35,Male,523920,90.53,0.87,5.09,Vaccination,41616.0,No,65.21,3961.0,8.51,38412.0,0.44,37.17 +66499,Saudi Arabia,2001,Measles,Bacterial,8.1,2.48,9.91,61+,Other,678316,67.04,2.77,4.49,Vaccination,22303.0,Yes,78.47,2866.0,0.62,84668.0,0.88,66.54 +66501,Canada,2007,Cholera,Genetic,13.27,5.19,7.09,0-18,Other,243678,55.42,2.17,1.73,Surgery,8012.0,Yes,95.1,403.0,0.92,69370.0,0.73,33.62 +66510,Italy,2005,HIV/AIDS,Respiratory,14.81,14.94,7.91,19-35,Other,102379,96.05,2.55,8.09,Medication,24643.0,Yes,96.83,3836.0,6.36,91706.0,0.79,41.75 +66511,UK,2015,Hepatitis,Neurological,1.06,3.89,1.19,0-18,Other,34722,58.11,2.14,4.63,Surgery,28738.0,No,95.1,1783.0,8.41,53290.0,0.88,78.6 +66520,Germany,2011,Leprosy,Cardiovascular,4.91,11.11,8.95,36-60,Female,149791,92.17,4.47,7.54,Vaccination,17695.0,No,79.05,2041.0,9.11,31129.0,0.41,32.56 +66521,Turkey,2006,Leprosy,Neurological,12.5,0.5,1.17,19-35,Male,79611,82.0,2.85,2.63,Surgery,33637.0,No,91.19,1958.0,0.72,33047.0,0.77,57.53 +66525,UK,2021,Measles,Bacterial,10.26,2.15,7.63,36-60,Male,834240,80.15,3.14,3.29,Surgery,21936.0,No,53.12,2007.0,3.76,49953.0,0.72,59.05 +66532,Canada,2004,HIV/AIDS,Genetic,19.83,9.28,5.83,61+,Female,132802,87.62,0.66,4.85,Therapy,6749.0,No,97.32,571.0,6.96,71995.0,0.51,79.99 +66534,Russia,2010,Parkinson's Disease,Parasitic,14.65,7.8,6.43,36-60,Male,431295,96.0,2.85,5.12,Vaccination,2378.0,No,85.31,3039.0,3.62,92922.0,0.41,74.04 +66538,Argentina,2019,Diabetes,Respiratory,0.25,3.7,9.88,61+,Female,565735,90.0,1.4,5.32,Vaccination,20756.0,No,65.59,1647.0,1.28,70336.0,0.57,53.76 +66543,Canada,2013,HIV/AIDS,Bacterial,1.12,4.16,3.8,19-35,Female,64549,59.54,2.34,8.3,Surgery,1171.0,No,61.59,742.0,8.25,55972.0,0.8,29.46 +66551,Saudi Arabia,2013,Tuberculosis,Chronic,17.5,0.12,7.61,61+,Other,425120,86.97,3.55,6.17,Therapy,13999.0,No,85.31,355.0,6.96,57739.0,0.61,42.28 +66557,Argentina,2012,Hepatitis,Cardiovascular,0.72,5.94,1.07,36-60,Male,423448,68.55,4.71,6.61,Therapy,16285.0,Yes,83.58,2350.0,5.92,91959.0,0.63,38.11 +66562,Argentina,2014,Hepatitis,Viral,8.48,8.95,5.18,36-60,Other,966361,62.11,3.34,0.6,Vaccination,38271.0,No,81.71,3020.0,2.94,88333.0,0.43,37.28 +66563,Turkey,2019,Hepatitis,Chronic,19.81,6.87,5.66,36-60,Female,785448,83.39,2.72,3.03,Therapy,5836.0,No,80.15,2233.0,9.04,53388.0,0.5,41.65 +66568,Russia,2001,Zika,Respiratory,13.81,13.13,7.07,19-35,Male,631532,90.77,1.29,2.92,Vaccination,39810.0,Yes,81.68,3384.0,2.9,892.0,0.77,25.19 +66578,Russia,2017,Ebola,Cardiovascular,18.17,8.83,4.54,36-60,Male,420603,59.95,0.65,6.43,Surgery,1948.0,No,78.68,996.0,5.88,7173.0,0.81,56.33 +66579,South Africa,2002,Alzheimer's Disease,Cardiovascular,16.61,2.67,5.95,61+,Other,672716,67.02,4.08,3.49,Therapy,31188.0,Yes,62.71,3645.0,4.81,53864.0,0.48,38.24 +66582,Canada,2004,Cholera,Genetic,19.55,7.51,0.7,36-60,Male,273830,65.37,1.74,7.65,Therapy,47531.0,No,98.6,3512.0,7.47,54916.0,0.63,28.62 +66594,Argentina,2014,Malaria,Viral,9.14,10.11,3.14,19-35,Other,205203,98.09,4.92,4.31,Surgery,3428.0,Yes,75.84,1179.0,0.66,95940.0,0.9,38.76 +66598,South Korea,2023,Alzheimer's Disease,Viral,7.63,6.51,9.84,0-18,Other,77817,55.34,3.91,0.77,Medication,14442.0,Yes,79.91,3846.0,1.41,49034.0,0.86,70.48 +66599,South Africa,2006,Parkinson's Disease,Infectious,1.65,8.19,1.16,61+,Female,532782,67.41,4.57,9.68,Surgery,43559.0,No,56.11,706.0,9.23,47807.0,0.74,86.31 +66600,USA,2019,COVID-19,Genetic,2.64,0.49,2.61,36-60,Other,494273,66.64,3.67,2.38,Therapy,22183.0,No,62.44,949.0,6.26,49855.0,0.75,56.27 +66606,Italy,2020,Rabies,Respiratory,19.28,13.06,5.43,19-35,Male,397707,88.85,2.52,2.77,Surgery,11823.0,Yes,76.84,590.0,5.21,82752.0,0.52,73.3 +66616,Russia,2014,Leprosy,Infectious,13.84,3.44,4.63,61+,Other,498511,80.97,4.55,5.58,Medication,15993.0,Yes,76.53,519.0,7.55,90713.0,0.49,54.78 +66618,South Africa,2007,COVID-19,Metabolic,16.79,7.12,5.66,36-60,Female,481560,74.2,1.77,9.94,Surgery,42212.0,No,56.69,1697.0,5.34,38266.0,0.59,45.94 +66625,Germany,2023,Parkinson's Disease,Viral,5.41,8.72,9.56,61+,Female,732456,63.33,2.48,5.36,Therapy,34799.0,No,70.97,19.0,3.97,3687.0,0.63,43.86 +66630,India,2004,Tuberculosis,Cardiovascular,18.24,1.76,2.79,19-35,Female,210532,58.53,4.61,5.83,Vaccination,40995.0,Yes,91.96,2287.0,5.02,72399.0,0.76,62.51 +66633,Nigeria,2018,Zika,Chronic,3.29,4.93,8.15,61+,Female,507540,59.82,2.19,2.32,Vaccination,10367.0,No,94.26,3130.0,7.68,72785.0,0.53,47.12 +66635,Indonesia,2003,Leprosy,Cardiovascular,3.59,10.07,0.36,19-35,Female,203552,63.75,3.92,9.63,Vaccination,36660.0,Yes,84.76,3537.0,1.39,28308.0,0.58,58.24 +66642,South Korea,2009,Zika,Viral,9.95,1.89,4.8,36-60,Female,83937,85.36,4.0,6.41,Therapy,8238.0,Yes,82.86,2573.0,6.27,96797.0,0.67,51.01 +66658,Saudi Arabia,2014,Dengue,Autoimmune,12.33,4.31,4.89,0-18,Female,409179,82.46,2.45,2.37,Vaccination,47153.0,Yes,60.73,4271.0,1.32,20157.0,0.74,52.93 +66661,Mexico,2015,Tuberculosis,Bacterial,2.54,13.93,8.77,36-60,Male,104091,75.99,3.12,8.97,Therapy,28147.0,No,71.07,376.0,4.59,4528.0,0.71,61.91 +66662,Argentina,2020,Influenza,Bacterial,2.93,3.53,6.0,36-60,Female,259976,89.26,2.28,8.71,Vaccination,47734.0,Yes,73.63,1024.0,0.82,5511.0,0.85,68.94 +66669,Italy,2019,Malaria,Respiratory,7.16,5.26,1.88,19-35,Other,395984,94.2,2.87,8.64,Surgery,29901.0,No,87.96,146.0,7.93,86190.0,0.9,80.3 +66671,Italy,2016,Malaria,Cardiovascular,12.19,9.92,4.04,36-60,Female,326287,56.34,2.61,1.53,Therapy,5980.0,No,88.79,112.0,6.97,19539.0,0.62,21.55 +66675,South Africa,2001,Ebola,Autoimmune,15.31,14.65,4.83,61+,Female,731602,72.42,2.04,2.64,Medication,20125.0,No,61.55,4467.0,6.08,36468.0,0.87,60.95 +66689,Nigeria,2007,Asthma,Chronic,17.72,7.14,7.36,36-60,Female,401930,87.57,1.03,1.13,Surgery,15053.0,No,80.11,1747.0,4.29,5308.0,0.78,46.92 +66699,Russia,2010,HIV/AIDS,Respiratory,7.82,5.52,4.96,0-18,Male,791448,51.67,1.66,8.83,Therapy,21476.0,Yes,81.0,240.0,2.21,69762.0,0.84,44.17 +66709,Canada,2001,Hypertension,Chronic,8.32,0.93,3.94,0-18,Male,477425,96.49,4.86,6.98,Surgery,31935.0,Yes,74.14,2992.0,6.15,25511.0,0.83,67.0 +66710,India,2022,Tuberculosis,Metabolic,9.84,7.63,8.85,19-35,Female,703408,82.04,4.9,4.81,Surgery,37388.0,Yes,89.34,2689.0,2.55,96482.0,0.83,20.65 +66713,Italy,2010,Influenza,Parasitic,16.68,13.63,5.48,36-60,Female,206310,57.92,2.91,1.65,Vaccination,34579.0,No,90.22,1003.0,8.22,82696.0,0.9,52.23 +66720,Mexico,2013,Diabetes,Parasitic,17.49,11.3,2.13,36-60,Other,844972,87.67,1.87,6.7,Surgery,9709.0,Yes,97.69,144.0,1.45,61847.0,0.61,41.11 +66721,Saudi Arabia,2013,Rabies,Respiratory,0.41,3.95,6.41,36-60,Male,726310,90.55,3.95,5.97,Surgery,44173.0,No,75.13,727.0,7.99,53677.0,0.8,58.9 +66723,Australia,2017,COVID-19,Parasitic,9.57,2.68,8.33,36-60,Female,314110,59.67,4.82,0.86,Medication,4170.0,No,82.21,4925.0,3.7,70928.0,0.47,77.77 +66726,France,2003,Malaria,Infectious,4.32,0.39,2.09,19-35,Female,4907,80.32,3.48,0.61,Vaccination,17988.0,Yes,86.09,3879.0,8.33,7313.0,0.78,56.79 +66733,Canada,2023,Tuberculosis,Chronic,2.45,0.91,5.37,36-60,Female,695587,97.76,3.71,6.31,Surgery,4621.0,Yes,67.82,757.0,7.03,56591.0,0.6,51.37 +66748,Germany,2014,Leprosy,Genetic,16.51,3.46,8.07,36-60,Female,18788,55.23,0.95,2.79,Therapy,2802.0,Yes,57.73,4690.0,0.53,17410.0,0.66,31.8 +66760,France,2023,Hypertension,Neurological,8.68,9.33,4.34,0-18,Male,585847,91.12,3.78,4.94,Therapy,15632.0,No,69.07,1298.0,9.04,97346.0,0.88,21.14 +66766,Nigeria,2015,Tuberculosis,Viral,6.89,8.41,3.35,61+,Other,533466,82.08,4.27,3.09,Vaccination,40840.0,Yes,50.5,2730.0,5.75,23936.0,0.88,22.28 +66775,USA,2000,Parkinson's Disease,Autoimmune,5.71,5.07,6.18,0-18,Female,723194,70.3,1.18,5.17,Vaccination,20105.0,No,53.14,2873.0,5.32,37540.0,0.78,86.98 +66778,Turkey,2024,Tuberculosis,Viral,6.57,6.04,2.09,61+,Other,948101,93.77,3.78,7.77,Medication,13440.0,No,60.81,136.0,5.15,23544.0,0.88,73.98 +66785,South Korea,2016,Ebola,Autoimmune,4.49,4.09,5.94,0-18,Other,124236,78.31,3.67,3.08,Therapy,39734.0,No,60.6,2264.0,3.91,11697.0,0.72,22.51 +66792,India,2007,Hepatitis,Neurological,14.35,4.41,2.26,36-60,Female,532966,87.06,2.82,4.41,Vaccination,37443.0,Yes,55.16,1230.0,2.79,79854.0,0.61,35.12 +66799,South Africa,2013,Alzheimer's Disease,Parasitic,4.75,2.46,7.7,19-35,Female,238506,83.84,2.83,7.93,Surgery,48882.0,No,97.37,246.0,2.42,19769.0,0.86,66.15 +66802,Argentina,2009,Parkinson's Disease,Metabolic,5.58,0.58,7.08,61+,Female,520804,84.23,0.67,4.59,Vaccination,29771.0,No,56.09,1436.0,9.34,52955.0,0.63,32.33 +66807,China,2000,Dengue,Genetic,6.84,14.79,2.55,36-60,Female,930897,89.0,4.43,9.33,Surgery,18859.0,No,83.08,2517.0,4.8,97360.0,0.67,52.0 +66809,Argentina,2016,Asthma,Viral,0.16,13.85,8.73,19-35,Other,173881,84.54,2.61,9.02,Vaccination,26755.0,No,57.92,4755.0,0.13,64404.0,0.42,63.04 +66812,Canada,2007,Hepatitis,Viral,3.37,14.2,0.13,19-35,Female,593736,97.69,1.58,6.66,Surgery,46086.0,Yes,58.71,2441.0,0.77,98337.0,0.44,69.69 +66825,Nigeria,2018,Zika,Parasitic,13.04,9.62,6.21,61+,Female,155948,82.09,1.07,0.78,Surgery,48099.0,Yes,55.94,260.0,3.59,20773.0,0.58,45.59 +66837,South Korea,2002,HIV/AIDS,Metabolic,15.81,13.52,9.26,19-35,Other,886537,97.95,1.9,7.5,Vaccination,28358.0,No,58.53,1717.0,6.52,19071.0,0.43,89.08 +66838,Saudi Arabia,2021,Alzheimer's Disease,Neurological,16.95,12.7,5.3,36-60,Male,552199,81.67,3.77,9.21,Medication,47674.0,No,79.15,4365.0,4.48,83903.0,0.49,84.32 +66840,Canada,2000,Rabies,Chronic,6.02,8.89,8.36,36-60,Female,245236,68.08,1.82,2.9,Vaccination,19945.0,No,54.5,2513.0,7.81,12727.0,0.77,62.78 +66841,Argentina,2023,Polio,Genetic,9.18,12.22,8.15,0-18,Female,875120,65.02,4.73,7.7,Surgery,31769.0,No,63.78,175.0,0.19,36537.0,0.65,53.49 +66842,Germany,2012,Hypertension,Chronic,14.74,8.25,3.92,0-18,Male,469460,84.81,4.89,6.51,Surgery,3165.0,Yes,69.92,1403.0,6.59,19546.0,0.51,64.38 +66846,France,2002,Tuberculosis,Genetic,11.32,14.75,8.09,36-60,Other,59137,54.21,0.51,6.5,Surgery,12466.0,Yes,50.27,1835.0,1.29,96805.0,0.7,89.86 +66847,India,2003,Cancer,Metabolic,15.53,13.94,4.78,19-35,Female,614741,71.91,2.08,5.82,Surgery,47958.0,No,88.52,4255.0,5.26,57826.0,0.42,32.45 +66850,Argentina,2021,COVID-19,Metabolic,4.25,12.51,5.15,61+,Other,686062,96.61,1.29,9.13,Vaccination,11231.0,No,54.33,1898.0,4.21,42625.0,0.76,45.01 +66852,Germany,2016,Ebola,Bacterial,6.13,14.46,8.74,0-18,Other,704316,69.4,1.49,7.64,Surgery,14621.0,Yes,77.06,314.0,3.19,60750.0,0.54,41.18 +66854,China,2001,Ebola,Metabolic,18.36,7.78,7.11,19-35,Female,900240,97.86,3.39,5.19,Therapy,29706.0,No,72.23,2385.0,0.54,32092.0,0.78,31.01 +66855,Argentina,2006,HIV/AIDS,Metabolic,4.47,10.05,3.33,0-18,Female,420401,82.93,2.35,6.11,Surgery,26512.0,No,72.44,4562.0,9.14,42045.0,0.72,69.89 +66859,South Africa,2013,Parkinson's Disease,Metabolic,4.25,14.53,2.5,36-60,Female,959437,87.35,3.0,7.68,Surgery,11800.0,Yes,65.38,4134.0,6.91,65396.0,0.84,84.56 +66866,Australia,2011,Leprosy,Chronic,5.66,14.45,7.49,0-18,Male,496952,75.43,2.15,0.75,Surgery,31048.0,Yes,65.6,777.0,1.84,90195.0,0.74,21.41 +66867,Japan,2011,Diabetes,Autoimmune,13.27,2.72,0.63,19-35,Female,679842,56.07,3.37,3.96,Surgery,30308.0,No,55.31,4756.0,6.29,97257.0,0.41,51.65 +66869,Russia,2002,Leprosy,Genetic,17.26,5.01,6.43,19-35,Male,781587,78.95,3.62,6.59,Medication,41360.0,Yes,73.84,1095.0,5.63,57293.0,0.63,56.46 +66870,Indonesia,2024,Zika,Respiratory,14.55,2.8,9.85,19-35,Female,689087,83.02,2.17,0.85,Surgery,18948.0,No,84.22,3629.0,8.62,74746.0,0.78,22.21 +66873,Argentina,2008,COVID-19,Viral,16.63,2.62,2.6,0-18,Male,228653,84.78,3.66,2.52,Surgery,19505.0,No,60.72,556.0,1.11,69307.0,0.56,56.46 +66885,Argentina,2014,Asthma,Metabolic,18.76,2.38,4.02,36-60,Male,270413,68.24,3.94,4.31,Medication,32658.0,No,57.98,1867.0,7.75,76960.0,0.76,77.64 +66886,China,2015,Polio,Metabolic,9.12,1.8,6.98,19-35,Female,928840,68.28,4.91,3.72,Medication,18474.0,No,94.03,2712.0,9.75,52947.0,0.57,74.69 +66887,Mexico,2000,Hepatitis,Metabolic,15.85,6.28,7.59,0-18,Female,179913,97.52,1.64,9.59,Medication,35515.0,No,60.67,473.0,5.2,19572.0,0.87,81.72 +66895,USA,2024,Tuberculosis,Bacterial,10.86,5.38,6.4,61+,Other,247649,91.03,1.28,5.47,Medication,42330.0,No,90.26,1964.0,2.48,48193.0,0.51,42.37 +66900,Germany,2008,Hypertension,Cardiovascular,15.65,13.89,2.07,61+,Female,389260,86.47,3.26,8.91,Therapy,46290.0,Yes,63.28,1435.0,8.35,63717.0,0.84,54.49 +66902,Saudi Arabia,2019,Alzheimer's Disease,Parasitic,5.87,5.45,6.57,36-60,Female,208303,74.56,1.02,4.54,Surgery,23819.0,No,87.7,2199.0,1.65,76492.0,0.65,31.09 +66905,Nigeria,2019,Diabetes,Genetic,12.15,8.69,4.24,19-35,Female,409024,78.11,4.27,4.36,Surgery,44733.0,Yes,84.06,4239.0,1.11,13553.0,0.43,51.64 +66906,Russia,2008,Measles,Parasitic,3.04,7.38,7.55,19-35,Other,781930,55.02,2.2,6.39,Surgery,25483.0,Yes,86.03,2594.0,3.51,51690.0,0.79,62.73 +66907,Italy,2009,Alzheimer's Disease,Respiratory,19.82,9.69,6.35,61+,Other,549042,83.74,3.71,7.94,Surgery,10161.0,No,65.93,4135.0,0.48,76127.0,0.47,82.21 +66909,Australia,2019,Tuberculosis,Parasitic,9.04,4.88,4.68,0-18,Female,505610,94.98,3.7,3.22,Therapy,6672.0,No,66.87,35.0,4.37,99727.0,0.54,27.24 +66915,Turkey,2005,Asthma,Respiratory,12.15,2.93,3.19,0-18,Female,316896,57.77,2.34,1.88,Vaccination,44204.0,Yes,95.58,1360.0,7.27,2517.0,0.59,46.57 +66917,South Africa,2023,Hypertension,Viral,3.08,8.73,5.1,0-18,Male,868804,94.27,1.32,1.31,Therapy,11705.0,Yes,53.49,1046.0,8.12,24739.0,0.63,78.95 +66924,Japan,2002,Malaria,Bacterial,18.66,0.74,8.51,36-60,Female,292562,57.38,0.54,2.92,Vaccination,34086.0,No,81.86,1198.0,5.85,90392.0,0.46,86.21 +66948,Italy,2007,Zika,Viral,19.42,3.43,1.04,19-35,Female,533101,79.49,2.06,5.4,Medication,30130.0,No,65.73,2717.0,4.54,61749.0,0.84,73.23 +66961,Saudi Arabia,2011,Dengue,Infectious,12.75,5.18,0.52,36-60,Other,517078,56.5,4.55,9.1,Therapy,13671.0,Yes,79.13,2613.0,2.57,53795.0,0.9,49.51 +66962,Mexico,2012,Malaria,Viral,15.54,12.22,6.1,36-60,Male,659478,66.11,3.27,7.21,Surgery,44591.0,No,89.19,2642.0,3.35,62585.0,0.48,83.91 +66967,Brazil,2016,Leprosy,Parasitic,13.8,11.89,2.12,61+,Other,277774,71.14,3.04,9.29,Surgery,6955.0,Yes,96.35,3184.0,4.78,5002.0,0.81,27.3 +66979,Argentina,2007,Diabetes,Parasitic,10.78,10.19,8.0,36-60,Male,156458,96.61,4.18,5.76,Surgery,13933.0,No,91.86,3753.0,2.01,16550.0,0.64,56.54 +67000,Italy,2005,Measles,Neurological,4.8,3.74,2.03,0-18,Male,866617,99.15,4.35,9.79,Therapy,34850.0,Yes,71.24,3980.0,8.88,4543.0,0.62,77.04 +67002,UK,2014,COVID-19,Metabolic,19.99,4.76,0.36,36-60,Male,468638,73.86,3.43,4.76,Therapy,12434.0,No,88.94,2982.0,3.53,62988.0,0.48,33.7 +67024,Nigeria,2024,Alzheimer's Disease,Infectious,2.34,5.39,8.08,0-18,Male,524365,86.23,1.51,3.02,Therapy,37488.0,Yes,79.87,4591.0,4.63,89170.0,0.47,75.52 +67030,Saudi Arabia,2018,Parkinson's Disease,Neurological,4.65,1.59,1.55,36-60,Female,725927,60.89,1.15,6.59,Vaccination,48682.0,Yes,50.47,82.0,8.12,30598.0,0.52,50.15 +67032,Argentina,2023,Cholera,Parasitic,2.75,7.38,7.19,19-35,Other,236702,54.71,0.82,0.56,Medication,35106.0,No,72.9,4289.0,2.38,5913.0,0.8,23.95 +67038,China,2012,Leprosy,Infectious,1.05,7.79,3.44,36-60,Female,224019,52.25,4.54,6.93,Medication,7481.0,Yes,89.28,2588.0,1.7,87130.0,0.79,55.93 +67045,Saudi Arabia,2019,Malaria,Parasitic,3.33,6.96,5.79,36-60,Other,754223,64.55,3.5,1.53,Therapy,20873.0,No,85.53,3856.0,7.26,10220.0,0.82,79.19 +67053,Turkey,2000,Ebola,Infectious,13.21,13.04,5.61,0-18,Male,320083,87.79,4.75,1.8,Vaccination,23266.0,Yes,74.21,1409.0,7.78,11083.0,0.42,33.27 +67059,Italy,2017,Rabies,Parasitic,19.52,1.13,6.61,61+,Male,851102,63.14,4.91,2.56,Medication,201.0,Yes,92.67,4228.0,6.22,12393.0,0.54,35.62 +67062,Japan,2022,Dengue,Metabolic,14.07,8.69,1.97,19-35,Female,752658,94.69,2.51,6.1,Surgery,39240.0,No,55.39,3467.0,6.39,16155.0,0.89,56.48 +67063,Indonesia,2006,HIV/AIDS,Genetic,2.84,7.06,2.61,61+,Male,746195,61.94,2.11,4.13,Therapy,22108.0,No,62.74,4813.0,0.81,40854.0,0.43,44.05 +67067,Argentina,2018,COVID-19,Parasitic,2.94,9.79,9.94,0-18,Female,957807,54.89,2.23,8.8,Therapy,9050.0,Yes,69.64,2273.0,3.49,80881.0,0.53,50.12 +67078,South Africa,2015,Rabies,Cardiovascular,16.01,10.66,4.14,61+,Female,93731,91.29,2.58,7.12,Medication,49875.0,Yes,77.62,4961.0,8.45,85324.0,0.71,26.0 +67080,Australia,2009,Hypertension,Autoimmune,7.28,4.3,7.89,36-60,Female,354123,71.22,2.92,4.6,Surgery,19889.0,No,93.27,1363.0,9.76,41916.0,0.56,42.4 +67084,Japan,2015,Ebola,Parasitic,2.13,1.06,5.34,0-18,Female,539431,54.13,3.09,3.44,Vaccination,35700.0,No,87.91,1948.0,6.4,84815.0,0.4,25.27 +67086,USA,2016,Measles,Viral,6.44,9.15,5.2,19-35,Female,587694,64.06,1.41,3.3,Vaccination,40490.0,Yes,90.55,2761.0,2.04,70909.0,0.65,87.89 +67090,China,2024,Influenza,Infectious,5.89,9.9,4.06,0-18,Female,94830,55.04,3.77,7.11,Surgery,32233.0,No,75.8,4784.0,9.99,77885.0,0.6,88.75 +67093,Russia,2011,Malaria,Neurological,5.59,8.15,9.16,36-60,Female,385953,86.53,4.29,8.81,Vaccination,27931.0,Yes,74.35,3972.0,5.05,79169.0,0.5,85.11 +67096,Nigeria,2005,HIV/AIDS,Infectious,6.93,2.0,6.62,19-35,Other,218227,67.39,4.54,3.93,Vaccination,27103.0,Yes,92.7,4603.0,7.61,16879.0,0.88,86.39 +67100,China,2003,Alzheimer's Disease,Cardiovascular,17.57,11.1,2.27,19-35,Female,157276,70.77,4.07,4.31,Vaccination,6780.0,No,51.87,655.0,0.47,47686.0,0.76,71.23 +67106,UK,2023,Leprosy,Metabolic,1.32,13.45,2.4,36-60,Male,631164,93.57,4.89,1.31,Surgery,26679.0,Yes,75.15,4960.0,6.28,83515.0,0.56,44.58 +67108,China,2001,Leprosy,Infectious,16.55,11.39,3.91,61+,Male,139136,94.09,2.09,8.95,Therapy,23038.0,Yes,66.39,3439.0,3.19,1168.0,0.77,23.38 +67109,Russia,2009,Tuberculosis,Neurological,8.64,2.79,9.47,0-18,Other,930867,61.61,4.64,9.01,Surgery,43426.0,Yes,58.96,885.0,9.43,42452.0,0.85,57.28 +67112,South Korea,2024,Zika,Bacterial,0.97,12.94,0.92,0-18,Male,925600,76.89,4.97,2.38,Surgery,5944.0,No,63.12,2496.0,9.56,44591.0,0.51,75.98 +67113,Indonesia,2012,Influenza,Autoimmune,4.13,10.51,2.62,19-35,Other,105040,96.01,2.87,6.96,Surgery,7737.0,No,73.92,4148.0,8.8,34495.0,0.68,22.3 +67114,Brazil,2020,Hypertension,Bacterial,18.29,4.6,0.89,19-35,Female,822624,84.21,4.65,0.71,Vaccination,161.0,No,62.31,1878.0,1.48,9932.0,0.43,44.39 +67118,UK,2023,Tuberculosis,Autoimmune,10.63,7.17,4.56,61+,Male,673399,94.64,1.18,6.34,Surgery,49791.0,No,65.88,262.0,2.38,42908.0,0.77,62.89 +67119,Argentina,2004,Dengue,Parasitic,11.44,2.73,4.82,19-35,Female,808539,77.13,1.1,5.06,Vaccination,34400.0,Yes,50.07,4505.0,4.85,35848.0,0.66,28.07 +67121,Argentina,2016,Zika,Viral,4.69,10.62,1.97,19-35,Male,952535,65.95,2.28,6.82,Medication,16572.0,No,91.35,1601.0,6.58,70275.0,0.83,84.65 +67128,Germany,2008,Hepatitis,Chronic,2.97,5.8,8.6,61+,Female,70655,91.85,3.93,8.16,Medication,33187.0,No,63.22,737.0,2.02,73481.0,0.81,31.88 +67129,Italy,2004,Hepatitis,Genetic,16.38,5.03,5.26,61+,Male,856851,53.79,1.42,9.5,Vaccination,35268.0,Yes,72.36,4985.0,3.04,83340.0,0.57,22.41 +67131,USA,2007,Cholera,Parasitic,12.39,4.29,5.51,19-35,Female,74058,69.62,0.83,0.67,Medication,33451.0,No,94.73,1502.0,4.26,58181.0,0.57,44.25 +67133,USA,2010,Tuberculosis,Parasitic,14.87,5.46,3.22,61+,Male,917569,62.66,1.93,2.82,Therapy,47461.0,No,62.34,2903.0,5.48,74893.0,0.73,34.05 +67136,USA,2002,HIV/AIDS,Parasitic,19.79,10.41,9.88,36-60,Female,873088,72.89,3.17,5.4,Vaccination,10416.0,Yes,55.11,1849.0,0.86,56032.0,0.68,72.99 +67142,Italy,2000,Hepatitis,Metabolic,16.52,8.21,3.3,0-18,Female,761138,79.08,3.68,6.66,Medication,47248.0,Yes,84.32,2448.0,4.0,48359.0,0.43,83.77 +67144,Turkey,2024,Rabies,Respiratory,6.3,11.99,7.18,19-35,Male,542522,85.66,1.92,9.92,Surgery,4261.0,Yes,76.15,2127.0,2.18,13175.0,0.77,22.34 +67152,Brazil,2022,Dengue,Genetic,4.77,12.03,6.11,36-60,Male,82468,98.94,4.11,8.0,Vaccination,39249.0,No,64.29,707.0,6.42,50699.0,0.76,71.34 +67156,France,2005,Polio,Autoimmune,5.83,13.23,7.06,19-35,Other,582257,72.78,1.82,5.47,Therapy,7428.0,No,76.94,2744.0,9.6,90419.0,0.67,35.72 +67161,Australia,2019,Cancer,Metabolic,15.04,2.46,3.48,0-18,Other,736730,68.61,3.17,8.55,Vaccination,13164.0,Yes,63.14,2321.0,4.26,15533.0,0.75,69.36 +67163,Indonesia,2014,Diabetes,Autoimmune,10.54,1.07,9.92,61+,Female,321407,88.95,2.67,7.33,Medication,40889.0,No,88.75,3193.0,7.88,3247.0,0.5,78.52 +67169,Argentina,2003,Parkinson's Disease,Respiratory,6.59,14.31,7.54,36-60,Other,515899,66.31,4.19,9.62,Medication,19125.0,Yes,70.15,4809.0,9.51,86640.0,0.87,50.48 +67171,Australia,2021,Parkinson's Disease,Respiratory,15.4,14.86,8.68,36-60,Female,842882,97.42,1.04,8.77,Surgery,48505.0,Yes,60.69,4664.0,5.1,79523.0,0.84,30.54 +67174,UK,2019,Ebola,Chronic,9.68,5.35,8.52,19-35,Other,163910,81.12,2.96,6.61,Surgery,37935.0,No,81.06,1364.0,3.3,64613.0,0.82,64.55 +67177,Indonesia,2014,HIV/AIDS,Bacterial,7.14,13.52,4.77,61+,Female,620604,74.22,3.43,0.81,Medication,20071.0,No,66.56,3162.0,5.98,29681.0,0.87,44.56 +67189,Indonesia,2015,Diabetes,Cardiovascular,12.34,2.13,2.11,61+,Male,59587,69.46,4.06,7.91,Vaccination,7276.0,No,86.26,1304.0,7.22,87302.0,0.8,27.69 +67198,Mexico,2009,Alzheimer's Disease,Chronic,9.51,1.13,2.06,0-18,Female,465083,56.21,3.54,9.05,Vaccination,44918.0,Yes,97.6,3845.0,9.32,79147.0,0.79,85.31 +67204,India,2018,Zika,Chronic,1.67,13.2,2.49,61+,Female,730724,99.14,2.17,2.83,Surgery,24440.0,Yes,70.61,2006.0,4.98,44556.0,0.45,41.19 +67205,Canada,2004,Measles,Autoimmune,11.77,12.75,0.71,0-18,Female,238294,62.36,1.87,2.67,Medication,41956.0,No,63.52,1768.0,8.47,36574.0,0.56,27.41 +67207,South Africa,2019,Polio,Chronic,13.72,7.58,7.27,61+,Other,50032,68.74,2.28,4.51,Therapy,48501.0,No,90.2,3099.0,2.62,98035.0,0.72,73.74 +67209,South Korea,2006,Leprosy,Bacterial,16.41,1.59,2.27,0-18,Other,660942,67.28,4.41,3.78,Therapy,32845.0,Yes,72.47,2168.0,4.87,11355.0,0.49,69.87 +67211,India,2011,Polio,Neurological,1.08,9.67,8.67,0-18,Male,564659,91.03,2.89,3.04,Vaccination,6105.0,No,91.68,174.0,0.49,33452.0,0.59,71.3 +67229,Germany,2016,Alzheimer's Disease,Bacterial,0.16,0.16,8.56,0-18,Female,687843,96.29,1.37,2.61,Vaccination,48584.0,No,65.1,4338.0,9.13,90604.0,0.66,28.55 +67232,USA,2017,Malaria,Viral,9.3,11.23,3.33,61+,Male,118302,89.48,1.93,1.91,Surgery,11270.0,No,59.27,1277.0,9.87,81340.0,0.62,63.91 +67237,Mexico,2016,Ebola,Bacterial,14.96,9.59,3.3,0-18,Female,489931,85.75,2.39,9.66,Vaccination,26178.0,No,94.25,1871.0,7.31,87317.0,0.82,82.58 +67240,Mexico,2011,Cholera,Bacterial,5.07,11.02,3.85,36-60,Male,159358,56.95,4.55,6.64,Vaccination,47566.0,Yes,56.67,4140.0,7.84,67352.0,0.76,88.6 +67245,Argentina,2018,Leprosy,Cardiovascular,6.78,2.06,6.43,36-60,Male,202673,57.26,4.43,4.47,Medication,17859.0,No,50.19,3065.0,9.9,87875.0,0.68,52.62 +67249,Japan,2004,Measles,Bacterial,15.33,12.35,7.12,0-18,Other,307960,97.16,2.68,7.64,Surgery,11196.0,Yes,86.3,906.0,1.62,33140.0,0.68,21.42 +67251,South Korea,2008,Leprosy,Viral,11.39,9.02,0.33,19-35,Male,805711,74.67,1.46,3.46,Medication,34308.0,No,63.03,17.0,0.92,73346.0,0.45,38.18 +67253,Saudi Arabia,2003,Parkinson's Disease,Neurological,5.36,2.35,5.25,36-60,Male,707221,92.53,1.74,1.04,Surgery,6675.0,Yes,87.29,3789.0,9.32,6348.0,0.88,64.85 +67255,Japan,2014,Polio,Respiratory,11.63,6.4,7.77,0-18,Other,544184,73.44,2.0,9.59,Medication,40477.0,No,65.8,988.0,5.62,89663.0,0.51,79.49 +67257,Turkey,2019,Measles,Infectious,18.38,12.32,8.32,36-60,Other,58103,74.09,2.99,6.33,Vaccination,29133.0,No,77.42,1180.0,7.76,24224.0,0.66,58.76 +67261,Germany,2018,Leprosy,Respiratory,11.57,15.0,3.58,0-18,Female,974896,92.05,4.43,3.03,Therapy,3016.0,Yes,51.52,4207.0,0.31,97540.0,0.68,69.97 +67266,South Africa,2006,Rabies,Cardiovascular,15.33,3.52,1.83,19-35,Other,834409,89.87,1.09,6.21,Vaccination,32430.0,No,79.45,3941.0,4.35,11506.0,0.75,56.26 +67268,Russia,2009,Cholera,Parasitic,9.15,8.37,4.96,36-60,Other,987652,58.01,3.51,1.15,Medication,1324.0,Yes,72.52,501.0,6.35,73607.0,0.64,25.61 +67272,Nigeria,2009,Measles,Parasitic,2.87,9.62,1.09,61+,Male,404488,96.03,2.86,7.16,Therapy,39061.0,Yes,96.03,3583.0,9.67,93926.0,0.76,66.48 +67274,South Africa,2010,Influenza,Genetic,17.9,9.99,1.59,36-60,Other,520269,57.24,2.47,4.03,Surgery,49072.0,Yes,95.45,196.0,7.75,33468.0,0.72,40.7 +67294,Canada,2020,Leprosy,Viral,2.17,9.04,9.74,0-18,Male,226135,55.15,0.88,6.91,Vaccination,4636.0,No,56.13,77.0,3.72,50207.0,0.45,77.38 +67305,UK,2003,Measles,Genetic,6.03,10.11,9.83,61+,Other,729754,70.88,1.64,6.64,Medication,34289.0,No,66.7,3366.0,8.41,12916.0,0.48,70.13 +67306,Mexico,2020,COVID-19,Metabolic,13.39,3.3,4.55,0-18,Male,295017,57.75,2.31,6.46,Vaccination,16547.0,No,88.31,849.0,7.97,40650.0,0.62,52.76 +67315,South Korea,2020,Alzheimer's Disease,Viral,8.92,8.07,1.65,19-35,Male,175643,51.37,4.03,1.81,Surgery,29940.0,No,73.38,2888.0,2.28,83541.0,0.69,72.19 +67318,South Africa,2015,Influenza,Parasitic,2.72,8.51,6.08,0-18,Male,417043,51.83,3.02,6.14,Medication,48407.0,No,72.69,4483.0,5.11,80266.0,0.71,42.91 +67323,UK,2003,Zika,Metabolic,10.72,5.93,1.36,61+,Female,318325,98.08,1.24,7.85,Vaccination,38700.0,Yes,61.58,2523.0,9.67,98311.0,0.53,34.63 +67324,Nigeria,2012,Cancer,Viral,18.02,2.7,8.16,36-60,Female,590720,75.9,3.0,3.31,Therapy,48783.0,No,54.66,4546.0,1.03,45994.0,0.52,71.88 +67326,Russia,2021,Influenza,Viral,16.42,14.15,9.19,61+,Female,984958,87.36,2.1,2.43,Therapy,21939.0,Yes,58.19,1235.0,7.19,15945.0,0.89,61.38 +67328,South Korea,2019,Measles,Bacterial,11.79,14.01,5.93,61+,Other,74187,57.87,1.31,8.14,Medication,27099.0,Yes,74.89,1902.0,7.28,49005.0,0.5,57.02 +67335,Mexico,2023,Zika,Parasitic,9.36,8.87,2.72,36-60,Male,692874,98.37,2.78,8.87,Therapy,26839.0,Yes,89.2,248.0,5.33,61447.0,0.62,29.72 +67336,UK,2012,Tuberculosis,Cardiovascular,6.11,10.8,4.84,19-35,Other,587329,61.83,0.7,7.66,Medication,40770.0,Yes,53.03,3747.0,2.89,6305.0,0.89,28.18 +67337,Mexico,2008,Ebola,Genetic,5.48,7.13,2.44,61+,Female,908620,63.73,2.5,5.38,Surgery,1845.0,Yes,61.35,1680.0,4.13,71196.0,0.89,57.72 +67340,Mexico,2017,Parkinson's Disease,Infectious,17.77,6.25,5.57,61+,Female,557359,80.94,3.09,8.69,Surgery,47985.0,No,59.42,1612.0,4.04,60375.0,0.65,44.98 +67341,Saudi Arabia,2008,Alzheimer's Disease,Metabolic,13.25,10.83,9.11,36-60,Female,780457,90.26,3.18,7.19,Therapy,12643.0,No,96.55,4771.0,7.9,12294.0,0.42,53.89 +67343,Mexico,2001,Polio,Genetic,14.71,3.49,1.22,36-60,Female,2838,55.73,1.22,3.3,Therapy,17813.0,Yes,69.89,4759.0,0.73,25012.0,0.57,64.25 +67346,South Africa,2018,COVID-19,Parasitic,9.28,7.32,5.04,61+,Male,632614,74.53,0.78,4.04,Medication,45462.0,No,56.27,2148.0,2.95,74213.0,0.67,42.87 +67347,South Africa,2020,HIV/AIDS,Metabolic,4.02,11.73,1.84,61+,Female,231560,73.76,4.06,2.5,Vaccination,39487.0,No,67.9,27.0,3.28,41077.0,0.75,57.64 +67356,Indonesia,2018,Tuberculosis,Parasitic,13.45,10.89,6.64,19-35,Other,323799,71.24,1.5,3.73,Vaccination,48847.0,No,59.31,2657.0,5.84,29377.0,0.55,38.61 +67360,India,2015,Leprosy,Autoimmune,0.51,6.05,0.66,61+,Male,145708,57.77,2.22,4.39,Medication,20815.0,Yes,55.23,4488.0,0.79,97401.0,0.87,87.54 +67363,Turkey,2009,Measles,Neurological,3.65,8.23,5.29,19-35,Female,452161,83.76,4.09,3.4,Vaccination,8472.0,No,73.06,2198.0,7.31,47243.0,0.68,21.68 +67367,Japan,2020,Zika,Parasitic,19.57,13.26,0.22,19-35,Female,3860,87.72,1.41,9.78,Therapy,42071.0,No,76.93,3866.0,6.58,35718.0,0.87,61.74 +67369,Russia,2007,Leprosy,Chronic,15.55,4.88,8.55,19-35,Other,924815,74.39,3.49,8.92,Vaccination,44359.0,No,92.4,2756.0,9.69,46487.0,0.8,54.14 +67390,Russia,2015,Leprosy,Viral,4.63,10.11,6.94,0-18,Female,513723,59.38,1.86,3.14,Surgery,17395.0,No,90.42,3072.0,8.46,95827.0,0.67,73.43 +67391,Japan,2011,Hypertension,Respiratory,9.16,14.45,5.28,36-60,Female,611291,81.26,1.53,1.82,Medication,16504.0,Yes,72.02,3751.0,4.73,99818.0,0.43,67.35 +67393,South Africa,2017,Cholera,Bacterial,10.7,8.72,4.37,0-18,Female,666396,55.24,4.12,3.41,Surgery,11569.0,No,75.51,1019.0,2.54,23547.0,0.68,82.06 +67397,Germany,2020,Cancer,Autoimmune,5.5,13.29,1.32,61+,Female,215183,73.02,3.57,4.92,Surgery,772.0,No,86.07,4294.0,7.58,17023.0,0.43,86.19 +67402,Brazil,2023,Ebola,Bacterial,7.58,0.96,5.75,36-60,Male,603309,55.44,1.74,4.58,Vaccination,9416.0,No,69.96,3092.0,8.32,15175.0,0.73,35.16 +67403,Japan,2005,Hepatitis,Chronic,13.26,4.49,0.22,0-18,Other,329861,81.09,3.3,0.77,Vaccination,46925.0,No,58.77,1650.0,2.88,65769.0,0.49,37.93 +67404,UK,2010,Diabetes,Chronic,18.3,9.12,2.48,19-35,Female,388640,74.91,3.61,0.82,Vaccination,10238.0,Yes,59.88,1891.0,7.54,5031.0,0.83,28.1 +67407,UK,2003,Diabetes,Viral,5.47,13.44,0.64,36-60,Female,297984,51.7,1.38,3.44,Therapy,4431.0,Yes,57.51,3289.0,2.47,90730.0,0.65,76.05 +67409,Mexico,2020,Hypertension,Parasitic,10.3,12.08,5.63,19-35,Male,204152,66.81,3.48,7.23,Vaccination,41008.0,Yes,57.26,4606.0,6.27,34778.0,0.57,79.42 +67410,Argentina,2007,Malaria,Cardiovascular,4.9,3.52,3.39,0-18,Male,600728,71.42,4.6,8.73,Surgery,3367.0,Yes,58.85,4192.0,1.84,17932.0,0.46,52.31 +67421,Mexico,2011,Cholera,Metabolic,6.74,8.36,7.21,19-35,Other,953404,94.38,3.81,3.61,Vaccination,40595.0,No,56.15,1277.0,6.59,26257.0,0.65,51.08 +67428,Indonesia,2004,Malaria,Bacterial,0.3,13.78,2.95,0-18,Female,470517,94.53,0.79,6.53,Medication,33158.0,Yes,81.64,2504.0,5.86,58587.0,0.57,89.21 +67429,Canada,2012,HIV/AIDS,Cardiovascular,19.47,14.05,9.78,19-35,Male,627887,95.26,2.11,3.1,Medication,39184.0,No,87.15,151.0,9.67,91145.0,0.59,21.92 +67438,France,2006,Ebola,Autoimmune,7.68,1.15,6.63,0-18,Other,708655,59.76,1.95,7.79,Surgery,26678.0,Yes,91.02,254.0,8.81,64916.0,0.87,56.33 +67444,UK,2011,Diabetes,Genetic,3.29,9.27,4.96,36-60,Female,627871,77.26,0.82,3.68,Medication,19281.0,No,52.05,4111.0,3.55,79411.0,0.67,51.47 +67445,Mexico,2014,Zika,Bacterial,19.53,12.98,9.69,36-60,Female,341856,71.67,4.0,9.46,Medication,32784.0,No,80.12,4919.0,1.45,62152.0,0.46,85.36 +67446,Brazil,2004,Parkinson's Disease,Viral,15.7,6.22,8.55,36-60,Female,155771,68.67,3.77,4.57,Medication,7608.0,Yes,77.48,1897.0,1.42,54915.0,0.46,80.61 +67458,Nigeria,2023,Malaria,Respiratory,18.01,1.54,5.11,36-60,Female,624772,59.49,2.1,8.58,Vaccination,31377.0,No,87.21,939.0,3.66,66491.0,0.53,43.27 +67460,South Korea,2001,Rabies,Cardiovascular,4.66,8.88,4.62,36-60,Female,881357,83.77,4.62,4.32,Medication,32840.0,No,78.39,4549.0,2.24,38201.0,0.88,43.11 +67464,Germany,2007,Dengue,Infectious,14.51,6.33,4.23,61+,Other,67294,80.59,0.72,6.29,Surgery,30596.0,No,56.67,776.0,6.82,86901.0,0.79,22.56 +67467,Canada,2012,Measles,Autoimmune,2.36,1.35,2.66,61+,Other,451584,81.9,4.9,9.99,Vaccination,44303.0,No,94.11,2656.0,7.98,99241.0,0.76,65.56 +67468,Canada,2003,Parkinson's Disease,Respiratory,7.09,3.87,3.72,61+,Other,782288,69.18,1.37,9.95,Vaccination,36495.0,No,78.04,2627.0,2.88,66688.0,0.51,23.35 +67477,Australia,2011,Polio,Parasitic,2.41,14.98,1.77,61+,Female,278746,50.22,3.59,4.82,Therapy,6117.0,No,62.36,1907.0,4.94,20693.0,0.7,50.94 +67484,France,2010,Measles,Cardiovascular,8.24,11.97,8.37,61+,Female,409074,88.55,1.03,2.88,Medication,19043.0,Yes,60.43,4223.0,9.87,98909.0,0.78,41.99 +67491,Indonesia,2001,COVID-19,Neurological,18.15,6.48,1.28,0-18,Male,577603,71.74,1.12,2.99,Therapy,45038.0,No,68.57,3244.0,7.03,12990.0,0.5,31.08 +67493,Indonesia,2001,Malaria,Bacterial,19.77,6.14,1.09,0-18,Other,956054,99.74,1.22,7.95,Surgery,11225.0,Yes,98.22,3707.0,8.06,76375.0,0.63,29.01 +67498,France,2000,Dengue,Bacterial,0.94,10.43,7.94,19-35,Male,645733,91.97,2.09,3.53,Therapy,8883.0,No,89.53,461.0,6.42,25666.0,0.5,59.72 +67507,France,2013,Rabies,Metabolic,10.32,1.18,7.95,19-35,Female,769930,61.06,2.54,9.67,Vaccination,1511.0,No,97.9,4697.0,8.47,17812.0,0.61,63.84 +67513,Brazil,2022,Malaria,Respiratory,17.09,13.16,2.33,19-35,Male,395649,82.49,4.84,6.13,Vaccination,49249.0,No,92.17,4223.0,6.85,55447.0,0.45,26.24 +67524,UK,2005,Tuberculosis,Parasitic,2.31,11.54,1.64,61+,Female,771162,82.78,0.91,4.01,Medication,9087.0,No,80.64,4416.0,5.71,46642.0,0.47,28.93 +67527,USA,2004,Leprosy,Respiratory,18.43,3.55,3.43,0-18,Male,519518,88.96,4.31,5.94,Medication,26850.0,No,53.44,2212.0,7.83,71327.0,0.68,67.13 +67528,Mexico,2009,Asthma,Infectious,18.2,10.92,2.01,61+,Male,67679,78.44,1.77,9.58,Surgery,22276.0,No,76.94,3029.0,0.43,43201.0,0.69,52.71 +67549,Mexico,2007,Dengue,Viral,7.89,8.76,6.95,61+,Male,970645,76.47,4.78,6.93,Medication,42205.0,Yes,88.83,2049.0,9.09,48851.0,0.6,31.26 +67551,Japan,2008,Asthma,Infectious,2.12,4.75,9.12,19-35,Other,865881,51.79,2.82,4.74,Surgery,20392.0,Yes,93.28,1775.0,0.83,2190.0,0.82,46.96 +67554,Germany,2009,COVID-19,Bacterial,8.09,12.98,3.57,0-18,Male,340733,60.96,1.23,1.27,Vaccination,36365.0,No,77.27,3153.0,0.59,71187.0,0.66,76.33 +67559,Australia,2008,Malaria,Bacterial,13.01,0.61,6.35,61+,Other,355357,52.06,1.06,0.92,Therapy,15103.0,No,78.77,4115.0,5.36,46519.0,0.51,75.27 +67562,South Korea,2023,Rabies,Autoimmune,3.01,2.92,0.26,0-18,Other,230007,91.48,3.09,4.68,Vaccination,14386.0,No,79.84,4857.0,0.17,84422.0,0.72,38.21 +67566,Mexico,2007,Tuberculosis,Neurological,5.41,8.3,0.37,36-60,Other,569847,61.05,4.28,7.3,Medication,640.0,No,76.93,3623.0,0.03,17543.0,0.55,38.53 +67574,South Africa,2007,Measles,Neurological,10.61,9.92,9.82,36-60,Other,475491,66.87,3.15,3.26,Therapy,35936.0,No,84.31,1430.0,5.55,29509.0,0.88,79.32 +67588,Indonesia,2020,Hypertension,Bacterial,4.7,7.48,5.25,19-35,Female,496419,74.58,3.72,7.45,Vaccination,29888.0,No,53.31,4363.0,1.52,96630.0,0.53,69.25 +67590,USA,2008,Ebola,Respiratory,4.96,12.26,5.28,0-18,Female,511906,51.57,4.23,5.1,Surgery,39727.0,No,95.58,2280.0,0.39,59000.0,0.44,38.7 +67591,Nigeria,2005,Leprosy,Respiratory,13.16,14.16,2.29,61+,Other,42750,60.1,1.38,7.82,Surgery,41047.0,Yes,83.43,3181.0,4.61,72706.0,0.85,32.7 +67602,USA,2017,Alzheimer's Disease,Neurological,7.81,7.25,8.07,36-60,Other,235470,87.17,3.87,3.43,Therapy,32722.0,Yes,60.45,2442.0,3.53,61122.0,0.88,27.89 +67603,India,2020,Diabetes,Cardiovascular,15.57,3.03,5.14,0-18,Female,670253,94.75,0.76,7.99,Surgery,3070.0,No,96.42,707.0,0.96,54204.0,0.6,88.54 +67606,India,2006,Dengue,Cardiovascular,9.63,13.52,9.21,61+,Male,795755,52.78,1.41,5.67,Surgery,907.0,No,75.57,2842.0,9.26,30483.0,0.6,48.59 +67613,Japan,2014,Ebola,Viral,5.93,14.44,9.79,19-35,Male,985271,55.26,1.74,4.5,Therapy,44628.0,Yes,58.62,1825.0,4.48,97432.0,0.74,63.23 +67616,USA,2001,Polio,Infectious,19.53,12.06,3.29,0-18,Male,2325,71.11,2.63,8.3,Surgery,17676.0,Yes,79.87,126.0,6.21,33466.0,0.42,45.15 +67624,Germany,2011,Diabetes,Metabolic,12.56,7.18,0.22,0-18,Female,724248,55.54,1.09,5.39,Therapy,40405.0,Yes,76.91,147.0,9.86,69677.0,0.74,32.83 +67626,Italy,2020,Influenza,Infectious,9.95,10.72,5.35,0-18,Male,214145,96.91,2.59,1.39,Surgery,33001.0,Yes,79.34,4485.0,0.21,82532.0,0.87,67.36 +67627,USA,2010,Malaria,Neurological,13.91,2.0,9.51,0-18,Female,105262,99.97,0.97,3.57,Therapy,22103.0,Yes,66.14,4875.0,9.15,31850.0,0.45,83.28 +67631,USA,2016,Cancer,Neurological,15.88,4.32,3.07,0-18,Female,627701,71.64,1.29,0.83,Surgery,38238.0,No,60.86,3155.0,2.64,50482.0,0.81,67.62 +67634,South Korea,2014,Asthma,Autoimmune,10.84,8.88,6.44,19-35,Female,181345,69.41,1.78,9.49,Therapy,46280.0,No,63.37,3509.0,3.77,81506.0,0.5,20.71 +67642,Brazil,2012,Parkinson's Disease,Parasitic,7.73,6.65,2.62,19-35,Male,460662,58.03,3.83,3.09,Surgery,27690.0,No,98.66,42.0,4.6,84230.0,0.41,72.61 +67672,France,2013,Malaria,Viral,1.32,5.69,6.96,0-18,Male,952091,83.36,2.91,9.67,Therapy,18100.0,Yes,94.96,4584.0,3.1,24064.0,0.57,40.53 +67677,India,2012,Parkinson's Disease,Genetic,10.4,11.16,4.42,19-35,Male,518265,91.78,4.17,7.62,Therapy,30473.0,Yes,97.7,1745.0,8.55,57963.0,0.67,63.43 +67680,Saudi Arabia,2001,Polio,Respiratory,9.85,14.58,7.66,0-18,Male,770684,56.98,2.69,2.34,Medication,46109.0,Yes,94.25,1105.0,0.31,9768.0,0.74,42.56 +67681,Italy,2010,Ebola,Parasitic,7.72,8.8,0.69,36-60,Other,254697,91.46,1.85,1.62,Medication,2827.0,No,59.29,4462.0,1.19,17345.0,0.88,41.22 +67692,Saudi Arabia,2023,Zika,Respiratory,14.98,9.0,9.77,61+,Other,638844,73.46,2.65,6.99,Vaccination,27336.0,Yes,79.1,4191.0,1.58,38972.0,0.7,61.85 +67694,South Africa,2011,Parkinson's Disease,Cardiovascular,5.05,1.36,5.25,36-60,Female,782347,58.11,3.62,4.77,Therapy,36270.0,Yes,84.01,2807.0,1.47,99822.0,0.58,49.21 +67717,Germany,2007,Diabetes,Genetic,2.98,13.18,1.6,61+,Female,962594,78.3,1.62,4.99,Therapy,37306.0,No,57.94,109.0,4.41,38995.0,0.47,54.44 +67723,Russia,2013,Alzheimer's Disease,Bacterial,19.72,11.22,8.99,61+,Other,218254,75.67,4.12,8.58,Vaccination,18627.0,Yes,86.21,4539.0,2.86,90512.0,0.89,53.97 +67729,USA,2024,Hepatitis,Bacterial,3.76,0.31,6.32,19-35,Male,234792,97.77,3.54,6.95,Vaccination,20182.0,No,60.64,3585.0,4.68,19384.0,0.42,53.3 +67731,Canada,2017,Polio,Genetic,19.24,6.51,0.85,36-60,Female,40322,64.59,4.88,5.63,Therapy,45495.0,No,54.05,3651.0,4.94,75478.0,0.42,23.06 +67735,Mexico,2018,Alzheimer's Disease,Metabolic,5.7,6.06,6.83,0-18,Other,490104,54.17,4.2,4.08,Surgery,12379.0,Yes,68.14,2815.0,9.9,82961.0,0.64,61.52 +67739,Brazil,2010,Asthma,Autoimmune,1.84,12.48,3.36,0-18,Female,304249,82.78,2.14,5.05,Therapy,43511.0,No,95.49,3174.0,4.23,3463.0,0.78,53.21 +67742,China,2015,Cholera,Neurological,3.85,13.08,7.46,61+,Female,748529,84.34,1.87,8.17,Vaccination,8409.0,No,89.4,4176.0,9.81,31861.0,0.87,58.82 +67743,France,2013,Diabetes,Respiratory,7.65,11.88,0.69,36-60,Other,234555,64.62,4.42,2.61,Surgery,2769.0,No,59.49,1767.0,6.76,62804.0,0.88,22.18 +67753,South Africa,2002,Zika,Chronic,3.13,1.52,9.44,36-60,Male,374570,71.45,1.23,3.73,Therapy,22247.0,No,88.63,3567.0,0.48,47171.0,0.73,37.47 +67755,Germany,2008,Malaria,Chronic,19.22,2.68,6.15,36-60,Female,755617,73.67,1.29,1.28,Surgery,6635.0,Yes,81.59,3280.0,6.62,91691.0,0.86,59.03 +67768,Argentina,2022,Diabetes,Viral,9.34,10.9,5.36,19-35,Male,654695,84.15,1.95,6.28,Surgery,12346.0,Yes,52.28,128.0,7.0,93533.0,0.76,62.33 +67773,Turkey,2003,Zika,Chronic,17.79,0.7,4.89,61+,Male,883466,64.91,3.57,6.8,Vaccination,10927.0,No,84.48,4640.0,7.82,90929.0,0.49,88.58 +67776,India,2002,Asthma,Viral,12.96,0.87,1.74,36-60,Male,311467,90.19,0.6,2.67,Vaccination,30984.0,Yes,92.29,3794.0,5.31,53440.0,0.45,61.62 +67778,Nigeria,2002,Hypertension,Neurological,17.27,5.01,6.53,19-35,Other,90129,82.36,3.81,7.53,Therapy,23495.0,No,96.61,3413.0,6.62,27554.0,0.76,53.28 +67780,Nigeria,2016,Alzheimer's Disease,Parasitic,3.86,7.45,2.65,0-18,Male,439514,84.0,3.81,0.6,Medication,15170.0,Yes,82.48,3002.0,8.27,22492.0,0.88,67.88 +67795,France,2003,Alzheimer's Disease,Genetic,6.64,2.58,1.25,19-35,Other,177733,79.53,4.19,4.03,Therapy,11031.0,No,71.99,1838.0,9.08,13277.0,0.42,22.13 +67803,South Africa,2011,Alzheimer's Disease,Autoimmune,3.69,12.79,3.93,61+,Other,2641,72.89,0.56,9.35,Surgery,44343.0,Yes,59.55,1204.0,0.24,73547.0,0.59,85.91 +67806,Italy,2023,Alzheimer's Disease,Infectious,18.21,3.94,1.26,0-18,Other,653411,83.6,4.43,2.6,Vaccination,49812.0,Yes,63.48,4071.0,3.82,64544.0,0.6,69.11 +67817,India,2022,Malaria,Chronic,6.01,9.7,8.25,61+,Male,753703,96.41,1.07,7.56,Medication,8588.0,No,55.21,4694.0,8.17,3409.0,0.62,76.06 +67821,Brazil,2007,Rabies,Infectious,15.9,5.14,2.3,36-60,Male,399721,53.61,2.67,9.89,Vaccination,1771.0,No,93.2,3687.0,0.66,54173.0,0.75,79.67 +67823,Canada,2020,Cancer,Neurological,9.45,13.41,6.03,0-18,Female,350277,93.03,3.35,8.76,Therapy,6217.0,No,72.38,360.0,9.69,35993.0,0.87,85.45 +67827,Saudi Arabia,2012,Tuberculosis,Metabolic,16.26,4.28,1.65,36-60,Other,442304,67.96,2.11,7.94,Therapy,22115.0,No,85.72,1957.0,7.15,65403.0,0.44,21.02 +67828,UK,2013,Ebola,Infectious,2.48,0.48,1.9,0-18,Female,144851,91.13,2.27,7.35,Vaccination,13208.0,No,83.4,119.0,3.15,47366.0,0.78,56.54 +67831,USA,2010,Alzheimer's Disease,Genetic,4.12,6.95,0.14,61+,Other,172454,69.57,1.67,6.77,Therapy,22603.0,No,84.26,3352.0,8.59,75569.0,0.56,25.49 +67839,Canada,2018,Tuberculosis,Viral,2.26,7.24,7.93,0-18,Female,795249,95.66,3.51,2.95,Therapy,29258.0,No,69.55,350.0,3.01,16150.0,0.58,36.73 +67846,UK,2012,COVID-19,Cardiovascular,8.67,12.39,8.01,61+,Female,744364,77.95,1.38,0.93,Medication,44197.0,Yes,57.78,1939.0,2.0,41432.0,0.79,83.68 +67857,Italy,2017,Hypertension,Metabolic,11.79,11.71,6.78,0-18,Female,395650,62.61,2.72,2.3,Vaccination,1106.0,No,57.18,471.0,4.03,64282.0,0.67,78.56 +67858,Germany,2019,Leprosy,Genetic,0.24,2.1,4.42,0-18,Female,755388,72.61,4.35,6.55,Vaccination,39195.0,No,86.28,4588.0,4.83,28490.0,0.41,41.74 +67861,Russia,2017,Hepatitis,Parasitic,9.51,7.7,6.79,19-35,Male,812644,72.37,4.15,6.73,Surgery,15110.0,Yes,63.22,2656.0,2.19,77229.0,0.65,45.3 +67863,Canada,2013,Rabies,Genetic,16.38,8.66,5.2,36-60,Male,326130,67.58,2.02,5.58,Vaccination,49062.0,Yes,53.0,861.0,0.76,8771.0,0.46,35.99 +67871,South Korea,2013,Dengue,Chronic,16.3,10.53,2.36,0-18,Female,410556,75.56,3.6,6.56,Medication,19953.0,No,81.78,3446.0,9.41,19359.0,0.87,85.91 +67872,India,2019,Diabetes,Metabolic,18.12,2.76,2.89,0-18,Female,408478,58.45,4.23,5.42,Medication,13576.0,No,96.19,2775.0,4.91,80992.0,0.82,20.2 +67887,Saudi Arabia,2009,Hepatitis,Genetic,14.24,3.5,8.74,61+,Other,289801,86.26,4.26,2.87,Medication,25397.0,Yes,79.71,2890.0,5.87,53266.0,0.44,31.14 +67890,Canada,2001,Zika,Genetic,11.54,4.2,3.64,61+,Other,879357,53.69,3.32,9.26,Therapy,32355.0,No,74.04,2988.0,8.86,71973.0,0.61,76.51 +67899,Canada,2021,Tuberculosis,Metabolic,1.93,10.84,3.84,0-18,Female,22820,59.23,3.68,8.19,Surgery,34354.0,Yes,72.01,341.0,3.34,23656.0,0.84,72.73 +67906,South Korea,2003,Influenza,Chronic,12.85,4.07,2.99,0-18,Female,951449,96.11,1.01,0.8,Surgery,11797.0,No,62.4,4638.0,6.77,35372.0,0.41,78.12 +67917,South Korea,2014,Rabies,Genetic,2.93,4.23,5.2,19-35,Other,983648,54.15,3.36,7.79,Surgery,28073.0,Yes,92.96,4029.0,8.58,69250.0,0.77,75.87 +67928,UK,2009,Tuberculosis,Neurological,0.9,9.74,6.74,36-60,Other,457571,82.28,1.7,5.51,Surgery,13545.0,No,77.6,2827.0,2.22,64747.0,0.6,85.59 +67952,Nigeria,2000,Alzheimer's Disease,Parasitic,16.86,4.11,7.05,19-35,Male,65898,62.49,4.56,1.57,Medication,18069.0,No,58.15,483.0,3.38,72988.0,0.8,31.83 +67956,Canada,2023,Cancer,Cardiovascular,9.72,7.34,6.01,0-18,Female,272663,64.37,2.76,6.99,Vaccination,24170.0,No,78.39,4744.0,3.56,578.0,0.79,32.81 +67959,Saudi Arabia,2007,Asthma,Autoimmune,16.17,2.25,2.93,36-60,Male,184369,51.21,3.4,8.08,Therapy,35357.0,Yes,95.99,4269.0,9.24,73738.0,0.75,77.52 +67973,Turkey,2000,Hypertension,Neurological,3.13,9.74,9.93,61+,Male,231415,92.2,2.86,6.16,Medication,16818.0,No,94.67,2657.0,9.14,27174.0,0.45,87.55 +67986,Germany,2009,Diabetes,Metabolic,14.98,6.31,5.53,36-60,Male,940617,74.51,3.65,0.99,Vaccination,8573.0,No,56.89,1849.0,7.36,26738.0,0.54,62.29 +67988,Turkey,2006,Cholera,Viral,3.39,4.93,6.59,61+,Other,291770,70.5,2.03,5.91,Vaccination,46099.0,No,59.0,3815.0,7.66,59623.0,0.89,68.89 +67999,USA,2004,Tuberculosis,Parasitic,7.77,14.64,8.1,19-35,Male,252533,68.28,4.55,2.49,Medication,6502.0,No,62.5,1462.0,4.18,87722.0,0.89,51.11 +68005,USA,2011,Asthma,Parasitic,15.0,4.52,1.37,61+,Female,242412,61.53,2.05,1.48,Surgery,28760.0,No,58.38,3355.0,0.31,4680.0,0.89,80.47 +68007,USA,2018,Rabies,Metabolic,0.19,3.14,7.58,19-35,Female,971424,77.65,3.0,5.07,Surgery,12572.0,Yes,75.36,1971.0,5.86,88669.0,0.82,25.41 +68030,Saudi Arabia,2012,Dengue,Neurological,11.76,4.96,9.31,0-18,Female,656471,65.61,3.81,8.29,Vaccination,19706.0,No,54.26,1968.0,3.98,57460.0,0.66,46.9 +68033,France,2003,Polio,Genetic,5.75,9.76,5.0,0-18,Male,282661,99.56,4.44,1.76,Medication,19158.0,No,87.78,125.0,3.32,88743.0,0.71,44.33 +68042,France,2007,Tuberculosis,Metabolic,0.11,1.79,8.74,36-60,Male,150781,56.26,0.62,5.03,Therapy,44099.0,Yes,69.33,2181.0,4.23,59739.0,0.83,57.44 +68043,Turkey,2003,Leprosy,Infectious,9.2,8.2,6.73,36-60,Male,943130,77.48,3.44,9.95,Surgery,25716.0,Yes,92.64,471.0,6.42,43683.0,0.88,30.83 +68049,Indonesia,2005,Dengue,Metabolic,2.67,6.1,0.16,61+,Other,544545,79.67,0.89,9.02,Therapy,40056.0,No,86.19,1679.0,1.31,99256.0,0.79,71.87 +68051,Mexico,2004,Polio,Neurological,2.43,2.16,7.34,36-60,Female,497561,99.12,3.9,8.54,Medication,12110.0,Yes,94.29,3200.0,7.32,46754.0,0.42,74.68 +68052,Japan,2012,Dengue,Infectious,19.84,9.49,8.15,0-18,Female,191865,68.52,2.51,5.21,Surgery,10858.0,Yes,64.31,4335.0,8.48,68502.0,0.76,44.28 +68056,Turkey,2017,Dengue,Metabolic,7.76,0.77,6.32,61+,Other,883748,52.7,0.63,3.02,Surgery,15295.0,Yes,95.21,547.0,3.24,56448.0,0.54,89.02 +68058,South Africa,2000,Hepatitis,Bacterial,13.58,2.56,7.27,0-18,Other,42036,86.88,3.26,7.42,Therapy,28850.0,Yes,55.08,139.0,2.68,11543.0,0.72,88.81 +68067,Turkey,2002,Hypertension,Autoimmune,3.76,6.37,4.96,61+,Female,249288,90.58,1.18,8.95,Surgery,45734.0,No,89.09,2734.0,5.18,51222.0,0.56,35.27 +68072,Turkey,2006,Zika,Bacterial,8.07,14.43,4.68,36-60,Male,318881,81.11,2.87,7.64,Medication,32857.0,No,54.77,476.0,1.25,62865.0,0.42,48.07 +68073,Saudi Arabia,2008,Leprosy,Genetic,9.05,1.88,6.07,19-35,Other,166499,98.73,4.14,8.35,Surgery,14429.0,Yes,55.88,4553.0,6.97,22148.0,0.9,63.66 +68075,USA,2001,Influenza,Cardiovascular,0.63,0.32,8.02,19-35,Male,991981,75.13,1.6,8.33,Medication,13497.0,No,51.11,2338.0,7.97,25221.0,0.85,73.34 +68084,Germany,2020,Zika,Genetic,5.66,3.67,4.48,19-35,Female,602136,55.12,2.83,5.65,Medication,47037.0,Yes,51.28,1334.0,9.26,9824.0,0.45,88.65 +68086,Italy,2007,Influenza,Respiratory,9.3,8.54,1.02,19-35,Other,276593,83.32,2.24,6.37,Surgery,45910.0,Yes,76.81,4272.0,4.44,39404.0,0.52,58.8 +68088,France,2008,Dengue,Chronic,9.68,4.15,7.74,19-35,Male,931507,53.17,1.83,0.51,Surgery,13261.0,No,94.74,4732.0,1.85,83028.0,0.75,84.32 +68089,China,2010,HIV/AIDS,Parasitic,10.68,13.7,2.79,0-18,Female,726487,96.7,1.47,5.06,Vaccination,45261.0,Yes,66.56,4372.0,7.69,20393.0,0.44,63.92 +68091,India,2010,Malaria,Infectious,19.62,10.29,5.03,0-18,Female,426150,62.11,3.64,9.47,Medication,40956.0,Yes,85.82,239.0,9.03,61868.0,0.65,75.44 +68093,Saudi Arabia,2022,Measles,Genetic,7.21,1.8,1.07,19-35,Female,723478,71.71,0.88,0.87,Surgery,25241.0,No,58.11,4029.0,1.06,44773.0,0.74,61.37 +68099,Brazil,2004,Leprosy,Metabolic,0.44,14.21,0.85,61+,Female,609294,76.78,2.34,8.9,Therapy,37326.0,Yes,81.24,2183.0,7.11,79445.0,0.44,37.0 +68120,China,2024,Dengue,Cardiovascular,0.38,5.21,2.39,19-35,Other,182348,64.37,2.3,3.31,Vaccination,17794.0,No,95.98,1831.0,1.43,85537.0,0.42,24.65 +68122,Turkey,2003,Ebola,Autoimmune,13.28,12.38,5.46,61+,Other,513017,89.73,4.9,8.84,Surgery,20125.0,No,72.61,1436.0,3.13,74727.0,0.41,57.11 +68135,UK,2017,Asthma,Viral,3.98,6.05,4.21,19-35,Other,324814,93.63,2.86,4.29,Therapy,33253.0,Yes,96.53,1350.0,9.66,58224.0,0.43,75.29 +68137,Mexico,2016,HIV/AIDS,Neurological,10.15,4.91,3.66,19-35,Other,579936,67.65,3.6,7.83,Therapy,41157.0,No,75.99,2220.0,8.28,8030.0,0.6,63.25 +68158,Indonesia,2004,COVID-19,Infectious,4.64,9.36,9.54,19-35,Other,557865,68.51,2.23,7.09,Vaccination,5210.0,No,50.14,1520.0,1.23,58901.0,0.76,81.19 +68161,France,2024,Hepatitis,Infectious,9.85,2.36,1.51,61+,Male,252793,64.57,0.97,3.76,Surgery,18176.0,Yes,75.27,3786.0,7.28,6856.0,0.45,27.89 +68162,Argentina,2011,Dengue,Infectious,15.6,9.58,6.61,0-18,Other,476518,70.85,4.6,3.91,Vaccination,47906.0,No,65.62,1148.0,7.68,1626.0,0.88,65.41 +68177,USA,2007,Tuberculosis,Autoimmune,4.77,0.7,9.58,0-18,Other,156343,58.99,2.71,1.42,Surgery,13623.0,Yes,65.2,3229.0,8.11,48139.0,0.68,32.8 +68183,Nigeria,2008,Zika,Viral,18.47,13.95,0.62,19-35,Male,235644,98.78,4.16,7.62,Therapy,44273.0,No,82.78,2103.0,2.81,46227.0,0.78,33.95 +68186,Germany,2020,Polio,Infectious,16.51,8.31,5.54,0-18,Male,249523,94.94,4.76,8.85,Vaccination,14630.0,No,77.75,3356.0,4.33,88724.0,0.66,35.94 +68192,Italy,2023,Rabies,Metabolic,14.36,0.91,9.26,61+,Other,213697,84.06,4.06,5.04,Therapy,45336.0,Yes,95.78,137.0,7.12,54319.0,0.84,31.49 +68198,USA,2000,Diabetes,Parasitic,16.61,1.31,4.0,19-35,Other,704476,85.16,2.74,3.42,Vaccination,49401.0,Yes,50.16,3813.0,4.25,33291.0,0.46,69.47 +68199,Italy,2003,Dengue,Metabolic,5.79,12.9,4.2,19-35,Other,828519,91.92,4.22,2.86,Vaccination,21851.0,Yes,72.5,1886.0,6.08,80867.0,0.42,87.61 +68207,Turkey,2009,Influenza,Bacterial,14.23,7.98,7.58,61+,Female,832557,80.8,0.85,2.91,Vaccination,15367.0,Yes,94.96,74.0,0.24,72621.0,0.88,45.98 +68213,Australia,2011,Dengue,Bacterial,17.7,5.01,2.22,61+,Male,948533,64.16,0.54,0.74,Medication,13766.0,Yes,74.35,592.0,1.42,44788.0,0.52,63.42 +68221,UK,2007,COVID-19,Genetic,12.23,13.09,8.43,61+,Female,931030,69.68,1.49,7.6,Medication,36799.0,No,58.82,3713.0,2.67,78192.0,0.65,53.88 +68222,France,2004,Measles,Chronic,11.13,6.65,5.21,36-60,Other,808515,94.57,3.22,2.3,Surgery,23046.0,Yes,82.72,4276.0,9.97,66773.0,0.66,53.1 +68233,Italy,2000,Parkinson's Disease,Infectious,7.53,11.56,6.43,19-35,Male,57817,78.85,3.96,8.52,Medication,5838.0,No,85.57,2273.0,9.15,48273.0,0.53,77.81 +68244,India,2024,Influenza,Respiratory,7.05,5.19,1.96,19-35,Other,615828,93.13,1.4,8.43,Medication,28410.0,Yes,84.44,1993.0,2.69,41462.0,0.74,82.38 +68250,Turkey,2001,Diabetes,Chronic,1.34,2.68,4.76,36-60,Other,788346,63.46,4.19,3.8,Surgery,8954.0,No,85.96,3966.0,0.62,92176.0,0.85,44.66 +68251,Mexico,2010,Zika,Genetic,15.27,13.08,8.91,19-35,Female,860718,81.88,2.68,7.29,Vaccination,49796.0,No,80.85,4176.0,4.08,56513.0,0.61,21.93 +68252,Mexico,2020,Asthma,Bacterial,2.44,14.53,3.1,36-60,Other,111288,82.75,4.08,5.41,Medication,27197.0,No,98.35,1783.0,1.09,96575.0,0.55,46.59 +68258,South Korea,2002,Parkinson's Disease,Metabolic,6.84,12.29,4.16,61+,Other,410941,87.44,3.45,4.88,Medication,49447.0,Yes,74.93,2935.0,1.87,54574.0,0.72,66.32 +68264,Argentina,2019,Diabetes,Autoimmune,19.41,4.5,6.76,61+,Other,835719,57.49,2.3,4.96,Therapy,12725.0,No,88.38,1588.0,9.86,93464.0,0.64,24.34 +68266,USA,2017,Cancer,Autoimmune,2.58,8.95,4.11,61+,Male,288212,87.12,1.21,1.46,Therapy,366.0,No,79.93,2204.0,1.86,57408.0,0.43,56.06 +68269,Argentina,2023,Malaria,Parasitic,15.56,3.29,6.0,61+,Other,441603,71.5,1.06,4.59,Vaccination,17450.0,Yes,79.21,830.0,1.48,75844.0,0.82,59.0 +68275,Mexico,2008,Dengue,Cardiovascular,19.57,12.66,4.6,36-60,Female,329519,79.06,3.15,2.63,Vaccination,40001.0,No,53.59,449.0,2.31,28800.0,0.67,71.27 +68276,Brazil,2002,Influenza,Genetic,18.47,3.19,7.73,0-18,Female,809059,86.12,4.51,1.77,Vaccination,24599.0,Yes,62.31,647.0,0.09,72330.0,0.89,58.88 +68287,Germany,2021,HIV/AIDS,Viral,10.7,7.96,7.61,36-60,Other,203054,76.2,3.69,7.05,Vaccination,46898.0,Yes,52.07,1233.0,3.97,68401.0,0.82,84.22 +68288,Russia,2013,HIV/AIDS,Autoimmune,4.04,3.32,1.56,19-35,Female,407437,78.14,4.24,1.17,Therapy,6571.0,No,57.18,1641.0,5.8,26342.0,0.62,35.54 +68314,USA,2011,Leprosy,Autoimmune,10.12,13.76,5.57,61+,Other,724972,88.12,2.38,9.57,Therapy,31219.0,No,81.79,2871.0,4.89,64235.0,0.85,62.3 +68317,France,2002,Zika,Chronic,3.88,11.49,1.39,19-35,Male,844260,60.61,1.31,8.22,Surgery,4562.0,No,64.19,3307.0,5.14,91530.0,0.61,51.22 +68320,Russia,2024,Cholera,Autoimmune,12.11,2.92,3.64,36-60,Other,709597,59.97,2.44,2.16,Vaccination,38788.0,No,66.41,2579.0,9.65,88963.0,0.9,60.17 +68324,Turkey,2019,Ebola,Parasitic,17.36,6.0,2.26,19-35,Female,865359,91.85,2.97,4.07,Surgery,23950.0,No,56.29,501.0,9.57,19673.0,0.71,37.75 +68338,Nigeria,2006,Rabies,Metabolic,13.55,3.48,9.47,19-35,Other,19240,64.42,4.31,6.56,Vaccination,12530.0,No,87.03,2426.0,0.63,49606.0,0.85,84.24 +68340,Japan,2004,Tuberculosis,Bacterial,17.55,1.11,2.35,61+,Male,890400,70.24,4.12,1.48,Vaccination,33032.0,Yes,86.02,2416.0,6.87,14921.0,0.87,57.37 +68352,Australia,2022,Rabies,Respiratory,9.83,3.77,1.1,0-18,Male,18698,88.18,1.71,4.45,Therapy,48372.0,Yes,70.42,1338.0,2.55,47561.0,0.47,44.3 +68353,Australia,2002,Parkinson's Disease,Parasitic,3.74,7.17,4.21,36-60,Other,545156,59.62,3.13,3.38,Medication,31233.0,Yes,80.71,3779.0,8.36,25401.0,0.6,75.91 +68355,Australia,2016,Hepatitis,Infectious,12.21,7.3,1.51,19-35,Other,19619,93.14,1.77,0.52,Vaccination,19560.0,No,66.15,4152.0,3.24,62392.0,0.71,80.75 +68359,Saudi Arabia,2010,Cholera,Viral,17.79,1.34,8.98,36-60,Other,760022,65.47,4.99,6.02,Vaccination,25160.0,No,74.89,1596.0,9.63,48182.0,0.43,59.15 +68361,France,2008,Parkinson's Disease,Autoimmune,4.17,9.82,1.96,61+,Other,387562,67.58,0.99,3.28,Medication,24884.0,Yes,86.13,3837.0,3.78,45357.0,0.88,37.99 +68369,USA,2008,Asthma,Parasitic,15.54,9.17,8.26,0-18,Male,338749,78.88,2.11,4.52,Surgery,33433.0,Yes,81.67,1812.0,4.23,73198.0,0.78,45.2 +68377,Turkey,2009,Rabies,Autoimmune,11.7,6.04,3.22,0-18,Male,237121,52.22,4.49,1.84,Medication,32966.0,Yes,90.7,3254.0,8.92,43194.0,0.46,84.67 +68381,Canada,2007,COVID-19,Genetic,8.19,0.83,8.18,36-60,Other,557780,94.69,3.21,3.83,Medication,12173.0,No,59.48,889.0,9.67,70064.0,0.53,40.68 +68395,China,2018,Polio,Respiratory,14.37,12.45,9.8,36-60,Male,25899,87.85,3.19,2.81,Surgery,25278.0,Yes,51.33,3601.0,8.37,13730.0,0.51,45.53 +68397,Russia,2018,Ebola,Autoimmune,18.24,14.31,3.78,19-35,Male,467676,54.96,3.83,8.33,Therapy,28013.0,Yes,51.76,4066.0,8.19,5691.0,0.73,23.42 +68406,Russia,2021,Polio,Chronic,17.62,2.9,0.86,19-35,Other,369606,51.97,1.07,1.36,Medication,5801.0,No,95.67,2709.0,4.33,42407.0,0.41,70.66 +68417,Mexico,2017,Malaria,Neurological,8.38,9.53,9.86,61+,Female,642510,99.11,2.73,8.71,Surgery,7796.0,Yes,68.95,54.0,2.84,45359.0,0.45,20.56 +68419,USA,2010,Measles,Chronic,18.77,3.32,7.7,61+,Female,431291,68.64,4.87,1.9,Medication,10551.0,No,54.59,2343.0,7.97,15879.0,0.51,79.15 +68421,USA,2015,Rabies,Bacterial,7.47,14.14,5.07,61+,Male,740691,90.11,3.04,5.51,Vaccination,41883.0,No,69.46,2792.0,9.44,18415.0,0.58,35.92 +68423,South Africa,2008,Malaria,Cardiovascular,5.64,7.39,7.55,36-60,Male,229676,95.76,2.78,8.86,Surgery,26299.0,Yes,54.84,1061.0,0.99,79366.0,0.62,49.61 +68427,Saudi Arabia,2014,Polio,Autoimmune,1.02,14.56,0.36,0-18,Female,624482,94.03,4.17,4.64,Therapy,47799.0,Yes,91.51,1965.0,8.85,22602.0,0.59,43.61 +68433,South Korea,2016,Hepatitis,Chronic,7.53,1.72,2.46,19-35,Male,435313,52.7,1.39,3.16,Therapy,49314.0,No,82.76,556.0,3.29,86503.0,0.66,88.94 +68437,Indonesia,2011,Hypertension,Cardiovascular,6.28,8.7,6.96,19-35,Other,879058,92.62,0.59,9.79,Vaccination,2385.0,Yes,72.75,663.0,7.01,57139.0,0.88,79.8 +68440,UK,2000,Measles,Cardiovascular,4.44,5.44,6.1,19-35,Male,123005,88.16,1.6,1.01,Surgery,19130.0,No,89.76,3990.0,7.16,81897.0,0.81,38.66 +68448,Italy,2013,Rabies,Parasitic,3.35,4.03,9.09,61+,Male,336806,82.76,2.73,2.94,Therapy,39239.0,No,50.3,440.0,9.97,64130.0,0.55,30.53 +68450,Saudi Arabia,2011,Cancer,Cardiovascular,12.05,11.82,2.1,61+,Female,573026,80.67,1.29,7.74,Surgery,27804.0,No,85.86,448.0,2.81,66185.0,0.58,55.73 +68461,China,2022,Rabies,Respiratory,2.09,12.69,9.24,61+,Female,186874,52.43,2.78,2.17,Therapy,29948.0,No,89.0,1671.0,2.04,61952.0,0.55,54.67 +68466,USA,2002,Hepatitis,Neurological,4.31,9.01,7.75,36-60,Male,448564,50.39,4.3,4.26,Vaccination,49530.0,No,51.26,1386.0,9.9,21945.0,0.45,39.95 +68469,China,2019,Influenza,Autoimmune,12.82,6.04,2.0,19-35,Male,435681,62.27,0.64,3.9,Therapy,32212.0,No,83.5,2021.0,5.13,10251.0,0.52,38.37 +68476,UK,2022,HIV/AIDS,Autoimmune,6.22,7.1,3.55,36-60,Male,137226,91.24,3.58,6.8,Therapy,6314.0,No,55.74,2625.0,1.24,63268.0,0.56,61.44 +68479,Turkey,2020,Hypertension,Chronic,16.49,1.19,2.87,61+,Female,793019,94.53,0.89,0.75,Medication,41242.0,No,87.9,2399.0,1.85,67983.0,0.72,32.24 +68482,Russia,2016,Hypertension,Infectious,17.93,6.14,3.56,36-60,Other,784160,70.91,3.9,8.33,Surgery,31619.0,Yes,87.72,870.0,9.78,8617.0,0.73,63.0 +68485,USA,2006,Ebola,Metabolic,2.47,5.98,3.9,19-35,Female,109712,59.54,0.86,1.56,Surgery,45904.0,No,50.87,2198.0,5.99,79054.0,0.57,78.55 +68486,Turkey,2023,Rabies,Genetic,16.09,8.09,0.47,36-60,Male,867825,82.08,1.14,6.62,Therapy,2410.0,Yes,69.12,4638.0,0.44,7760.0,0.44,31.74 +68511,China,2014,Measles,Genetic,14.41,5.5,7.18,0-18,Other,744986,76.75,3.69,3.9,Medication,42019.0,No,76.93,1004.0,1.53,96034.0,0.42,43.24 +68520,Saudi Arabia,2020,Polio,Respiratory,16.34,14.31,2.7,19-35,Male,445571,71.13,2.03,9.99,Therapy,39640.0,No,87.78,3820.0,7.5,92332.0,0.79,49.75 +68523,Italy,2011,Influenza,Bacterial,3.92,13.99,7.74,19-35,Female,236473,53.41,4.61,6.71,Surgery,10594.0,No,90.66,3798.0,4.48,85394.0,0.61,32.3 +68529,Mexico,2005,Zika,Neurological,0.52,12.69,8.59,36-60,Female,479731,66.6,4.87,1.23,Therapy,41357.0,No,92.21,4117.0,2.02,95245.0,0.68,30.9 +68537,USA,2022,Dengue,Viral,14.55,3.05,9.4,36-60,Male,309288,71.32,0.81,9.05,Vaccination,7598.0,Yes,59.71,1206.0,9.21,23466.0,0.67,57.03 +68538,Germany,2003,Leprosy,Viral,12.01,0.36,9.19,19-35,Female,758470,83.19,3.94,2.85,Therapy,31073.0,No,62.49,2057.0,5.91,95563.0,0.53,48.43 +68540,Germany,2019,Polio,Infectious,4.47,9.84,8.37,19-35,Female,407492,95.74,0.66,6.14,Medication,21371.0,No,73.92,3048.0,7.4,2387.0,0.51,46.02 +68541,South Africa,2004,Leprosy,Bacterial,11.82,9.44,8.29,19-35,Other,741592,65.57,2.34,1.34,Therapy,30178.0,Yes,82.8,1486.0,5.83,55553.0,0.62,62.59 +68543,Saudi Arabia,2007,Parkinson's Disease,Metabolic,10.01,9.8,3.2,61+,Male,297997,62.61,3.3,8.71,Surgery,17726.0,No,56.13,2160.0,7.59,32768.0,0.42,64.94 +68546,Brazil,2008,Measles,Genetic,10.2,7.57,1.56,19-35,Female,706694,61.04,3.93,6.45,Medication,30972.0,Yes,62.93,2985.0,5.89,13953.0,0.44,43.26 +68548,Nigeria,2013,Hypertension,Autoimmune,15.94,0.65,1.33,0-18,Other,528958,83.07,4.89,7.79,Surgery,36659.0,No,61.12,2178.0,4.8,41468.0,0.53,61.98 +68552,Nigeria,2013,Measles,Cardiovascular,13.93,11.96,2.15,0-18,Male,416003,82.43,0.77,9.35,Medication,30221.0,Yes,69.91,2666.0,2.8,73611.0,0.72,26.85 +68556,India,2007,Alzheimer's Disease,Metabolic,18.97,6.21,7.87,19-35,Other,466756,93.02,4.44,4.0,Surgery,48723.0,Yes,84.97,1044.0,4.36,7984.0,0.61,58.46 +68568,South Africa,2013,Ebola,Bacterial,17.93,7.24,6.36,61+,Other,533776,84.03,2.56,7.31,Medication,43963.0,No,72.95,5.0,6.83,21107.0,0.68,48.86 +68573,Canada,2012,Rabies,Parasitic,5.66,9.42,4.09,36-60,Male,37597,62.16,3.79,4.41,Vaccination,29861.0,No,67.24,3258.0,9.21,23610.0,0.88,42.45 +68576,Germany,2010,Cholera,Respiratory,17.11,8.4,1.4,36-60,Male,641580,87.65,2.3,6.99,Medication,23061.0,No,93.44,873.0,1.84,34399.0,0.78,82.45 +68577,Russia,2012,Zika,Neurological,19.89,11.14,3.76,61+,Female,347281,80.53,0.85,6.21,Therapy,5548.0,Yes,66.86,1500.0,9.01,88241.0,0.6,75.21 +68581,South Korea,2010,Polio,Neurological,4.51,11.77,4.09,0-18,Female,930937,51.22,3.22,4.03,Surgery,16777.0,Yes,95.07,3359.0,9.4,9667.0,0.47,43.81 +68600,Argentina,2021,Polio,Bacterial,11.39,4.79,5.84,19-35,Male,204245,87.52,3.99,6.01,Surgery,44150.0,No,73.39,4608.0,5.33,11972.0,0.41,40.13 +68608,China,2014,Leprosy,Neurological,2.19,12.93,7.47,61+,Female,455438,72.98,3.97,4.32,Vaccination,32105.0,Yes,88.11,4107.0,0.77,64766.0,0.75,42.79 +68622,UK,2003,HIV/AIDS,Cardiovascular,4.17,8.01,9.55,36-60,Female,670940,84.42,4.46,6.08,Medication,44096.0,No,54.04,3705.0,5.69,75582.0,0.41,45.05 +68626,Mexico,2001,HIV/AIDS,Metabolic,10.45,14.13,1.4,61+,Male,583916,94.92,2.89,8.45,Surgery,14069.0,No,89.59,3859.0,7.27,75911.0,0.9,71.37 +68640,UK,2023,Alzheimer's Disease,Chronic,6.4,2.57,6.82,61+,Male,875917,95.64,0.97,9.41,Surgery,34300.0,No,70.11,3691.0,0.11,56021.0,0.55,89.33 +68644,France,2018,Zika,Genetic,19.27,2.13,9.02,0-18,Other,495770,85.73,2.3,9.17,Medication,19766.0,Yes,67.2,2977.0,2.62,51059.0,0.89,78.15 +68656,Japan,2022,Cholera,Parasitic,4.09,5.07,9.27,0-18,Male,74707,80.82,2.23,4.5,Therapy,36180.0,No,79.84,2349.0,3.86,51920.0,0.4,45.24 +68659,Nigeria,2002,Ebola,Viral,15.22,5.32,5.18,0-18,Female,935543,86.31,3.42,8.65,Medication,13302.0,Yes,87.67,2637.0,9.3,47849.0,0.79,79.82 +68661,Argentina,2007,Diabetes,Neurological,16.94,8.14,7.2,61+,Other,400909,55.64,2.07,8.22,Therapy,24948.0,Yes,55.53,2014.0,2.72,88894.0,0.59,75.47 +68664,India,2019,Influenza,Cardiovascular,9.9,8.26,9.43,19-35,Male,453898,90.94,4.2,9.11,Surgery,9028.0,Yes,81.09,3066.0,7.02,24646.0,0.61,57.41 +68667,Turkey,2010,Measles,Viral,13.57,12.25,1.37,61+,Other,51179,75.32,1.23,5.79,Vaccination,41611.0,No,92.22,2551.0,0.89,41853.0,0.89,38.46 +68669,Australia,2023,Rabies,Metabolic,3.75,5.62,6.3,0-18,Female,990967,64.83,3.57,6.18,Medication,1837.0,Yes,57.47,3123.0,7.99,93340.0,0.83,28.11 +68677,Mexico,2005,Ebola,Cardiovascular,16.08,11.21,8.41,0-18,Female,997225,84.11,2.42,6.24,Medication,16746.0,Yes,54.3,2000.0,9.46,45912.0,0.65,53.24 +68678,China,2019,Ebola,Metabolic,12.57,3.34,1.55,19-35,Female,758492,56.73,2.12,6.41,Medication,7431.0,Yes,72.87,298.0,6.68,36711.0,0.81,63.83 +68679,Argentina,2014,Leprosy,Metabolic,16.9,5.39,5.64,61+,Male,547033,83.16,3.65,3.39,Surgery,27655.0,Yes,62.11,1297.0,3.28,37463.0,0.43,78.77 +68683,France,2020,COVID-19,Viral,13.76,12.82,0.79,36-60,Female,643212,74.63,0.56,9.83,Vaccination,48982.0,Yes,87.08,540.0,4.98,47338.0,0.41,62.1 +68686,Japan,2021,Hypertension,Genetic,6.58,3.04,2.05,61+,Female,725261,69.37,2.82,5.76,Therapy,24696.0,Yes,57.54,3501.0,8.34,61439.0,0.86,32.44 +68691,Australia,2001,Cancer,Chronic,13.27,7.18,1.31,0-18,Other,672062,62.68,1.15,5.3,Therapy,47981.0,No,67.14,1945.0,4.12,18261.0,0.46,80.2 +68697,South Korea,2007,Rabies,Viral,18.63,4.48,3.84,0-18,Male,145735,54.6,0.92,8.66,Medication,2140.0,No,51.69,1462.0,8.14,20320.0,0.78,57.95 +68700,Argentina,2006,Hepatitis,Genetic,0.62,14.32,1.67,19-35,Female,106918,76.07,2.19,3.5,Therapy,20798.0,Yes,87.51,3674.0,0.43,20640.0,0.85,44.51 +68706,Canada,2002,Measles,Metabolic,9.25,7.81,3.57,61+,Female,637072,82.89,4.37,9.18,Therapy,33657.0,No,86.5,3203.0,7.97,15466.0,0.76,37.78 +68707,Mexico,2014,Influenza,Respiratory,12.35,14.83,2.51,36-60,Male,324772,58.4,0.94,9.11,Vaccination,27628.0,Yes,74.08,2160.0,3.95,41430.0,0.78,86.46 +68716,France,2008,Influenza,Neurological,0.13,13.53,2.78,61+,Male,784514,78.67,3.22,0.85,Medication,37292.0,No,67.58,882.0,5.47,58483.0,0.68,86.18 +68718,Mexico,2012,Influenza,Infectious,9.66,8.07,9.3,61+,Other,672443,59.01,3.71,5.29,Medication,4099.0,Yes,72.33,4724.0,1.66,34690.0,0.48,59.69 +68720,Russia,2011,Measles,Bacterial,8.98,11.57,6.82,36-60,Female,187854,99.49,4.27,7.68,Surgery,36884.0,Yes,92.86,2267.0,5.34,49692.0,0.63,44.42 +68722,Indonesia,2023,Tuberculosis,Respiratory,5.82,1.59,3.25,61+,Other,539093,98.78,2.5,3.9,Medication,6300.0,Yes,78.59,3094.0,3.53,851.0,0.41,63.86 +68743,Russia,2016,Parkinson's Disease,Genetic,3.19,13.94,8.16,61+,Male,493369,72.04,2.35,1.41,Surgery,10757.0,No,81.0,1356.0,7.97,18330.0,0.61,49.49 +68748,Japan,2011,Diabetes,Respiratory,16.38,5.25,4.61,19-35,Other,693664,80.27,3.48,7.98,Surgery,49831.0,No,90.11,864.0,9.82,62519.0,0.48,71.43 +68750,Mexico,2017,Cancer,Neurological,9.55,8.85,3.18,36-60,Female,430435,78.85,4.13,5.72,Medication,17233.0,No,78.69,3843.0,2.07,47322.0,0.55,54.66 +68752,South Africa,2004,Diabetes,Infectious,17.75,8.43,2.62,19-35,Male,853035,82.17,4.08,7.28,Surgery,2082.0,No,69.73,3191.0,6.85,84075.0,0.4,82.9 +68757,Canada,2009,Ebola,Bacterial,0.56,8.66,2.44,61+,Other,28123,72.18,4.1,4.87,Vaccination,49358.0,Yes,63.51,2656.0,6.51,76227.0,0.7,62.31 +68763,UK,2010,Leprosy,Viral,17.53,2.37,9.11,61+,Other,690057,88.28,1.69,9.62,Medication,30237.0,No,53.57,2819.0,7.28,94569.0,0.7,20.44 +68770,Indonesia,2016,HIV/AIDS,Neurological,13.65,4.76,0.24,36-60,Female,511451,94.39,4.49,5.15,Therapy,32008.0,Yes,55.2,2874.0,8.41,67003.0,0.72,61.51 +68781,Russia,2014,Dengue,Chronic,18.4,8.26,1.43,0-18,Female,279402,75.89,3.85,1.29,Therapy,18009.0,Yes,76.4,1830.0,4.6,18700.0,0.81,41.91 +68786,Nigeria,2008,Cholera,Parasitic,6.63,0.54,9.85,61+,Other,440222,74.69,2.62,8.08,Therapy,46362.0,Yes,76.57,2994.0,0.48,88465.0,0.45,80.58 +68791,UK,2018,Polio,Metabolic,12.87,2.8,6.79,61+,Other,55478,96.8,2.19,4.21,Vaccination,44222.0,Yes,96.95,2773.0,3.23,24614.0,0.47,67.31 +68797,South Korea,2009,Polio,Cardiovascular,4.23,6.99,7.4,61+,Female,382849,67.22,1.14,4.69,Therapy,20827.0,No,74.66,3413.0,0.65,36864.0,0.79,68.21 +68803,France,2023,Zika,Neurological,4.02,2.96,0.53,19-35,Other,666053,66.2,4.73,8.4,Therapy,40468.0,Yes,81.43,3621.0,7.41,48382.0,0.84,61.49 +68818,South Africa,2006,Zika,Infectious,18.84,5.62,9.93,0-18,Other,943180,92.35,4.44,5.86,Therapy,40663.0,No,53.09,2372.0,0.5,7749.0,0.89,64.33 +68823,Nigeria,2017,COVID-19,Neurological,0.63,6.19,0.87,36-60,Other,937167,74.33,3.55,6.05,Therapy,21409.0,No,78.6,1743.0,6.63,45517.0,0.89,24.87 +68840,Argentina,2011,Measles,Genetic,14.97,1.66,9.12,0-18,Male,331025,56.69,2.56,7.5,Therapy,7288.0,Yes,86.0,3953.0,3.46,16619.0,0.49,64.5 +68851,Japan,2004,Cancer,Genetic,5.41,14.37,3.0,19-35,Female,8256,82.83,0.72,6.03,Medication,14582.0,No,53.15,2437.0,9.51,17898.0,0.42,49.38 +68854,UK,2023,Hepatitis,Neurological,18.21,1.15,9.32,61+,Other,611813,87.3,0.56,7.74,Vaccination,42279.0,No,74.72,3231.0,3.19,89278.0,0.85,52.97 +68858,South Africa,2018,Hypertension,Cardiovascular,8.42,6.61,3.16,19-35,Other,905779,53.81,3.72,9.47,Medication,15748.0,No,55.68,2565.0,9.19,49852.0,0.85,80.17 +68860,Italy,2016,Ebola,Respiratory,15.03,6.96,6.39,61+,Other,109171,69.99,2.66,0.65,Medication,48768.0,No,64.42,2021.0,6.36,48142.0,0.7,49.53 +68862,Russia,2013,COVID-19,Respiratory,14.79,9.46,6.21,0-18,Male,775065,74.06,4.23,0.68,Medication,24608.0,Yes,92.21,4221.0,9.41,93027.0,0.71,85.03 +68869,UK,2016,Ebola,Infectious,12.6,10.76,0.9,0-18,Other,973423,68.3,4.41,3.35,Therapy,36610.0,Yes,95.46,4516.0,3.19,7021.0,0.86,59.12 +68871,Argentina,2015,Hypertension,Chronic,9.64,1.65,1.66,61+,Female,792805,63.3,3.3,2.15,Surgery,35329.0,Yes,53.56,3465.0,3.84,55135.0,0.63,21.22 +68872,Argentina,2008,Polio,Chronic,6.8,7.32,1.14,19-35,Female,468262,54.13,1.01,6.0,Surgery,18124.0,No,82.33,2913.0,7.19,35929.0,0.56,54.4 +68874,India,2006,Asthma,Metabolic,10.28,2.41,1.45,36-60,Female,279345,89.06,1.62,5.08,Therapy,10753.0,No,93.49,4683.0,5.09,63300.0,0.82,39.06 +68882,South Korea,2005,Dengue,Infectious,5.54,0.91,1.53,61+,Other,196095,89.28,0.96,5.32,Vaccination,2937.0,No,61.57,3858.0,0.94,57345.0,0.72,61.33 +68892,Mexico,2013,Diabetes,Infectious,12.7,2.52,7.55,36-60,Other,332498,62.98,3.89,6.09,Vaccination,11835.0,Yes,62.74,3507.0,4.63,84945.0,0.55,47.94 +68901,Australia,2002,Dengue,Genetic,12.83,7.39,2.87,0-18,Female,918075,50.75,2.71,8.73,Medication,41651.0,Yes,89.81,877.0,1.69,99515.0,0.52,36.04 +68903,Turkey,2004,Leprosy,Parasitic,10.72,9.93,9.19,36-60,Other,41299,54.15,2.64,9.75,Medication,28794.0,Yes,62.65,3711.0,6.63,76398.0,0.87,23.98 +68904,Italy,2018,Tuberculosis,Genetic,13.17,13.89,9.0,19-35,Male,597545,85.28,0.9,2.34,Vaccination,49820.0,Yes,58.49,2358.0,8.93,11468.0,0.82,65.94 +68905,Brazil,2000,Zika,Chronic,3.66,3.9,3.25,36-60,Male,606904,97.97,2.8,3.49,Surgery,234.0,Yes,95.52,2402.0,1.79,80195.0,0.83,76.84 +68906,Nigeria,2009,Tuberculosis,Neurological,3.44,3.51,0.99,19-35,Male,610762,72.34,3.18,5.47,Medication,30977.0,No,62.39,1305.0,4.14,3442.0,0.51,78.92 +68907,Nigeria,2001,Malaria,Metabolic,12.0,8.1,6.2,0-18,Female,749816,93.33,2.59,5.62,Medication,12284.0,No,54.59,2842.0,4.57,42172.0,0.67,46.83 +68911,Indonesia,2019,Cancer,Respiratory,18.97,9.23,0.8,61+,Female,17548,92.41,3.52,6.84,Vaccination,49221.0,Yes,96.2,1668.0,9.13,44894.0,0.81,66.49 +68918,Saudi Arabia,2005,Hypertension,Neurological,0.73,6.22,9.28,19-35,Male,780425,51.41,2.92,5.01,Therapy,5958.0,No,80.97,839.0,6.55,54884.0,0.41,55.46 +68920,Brazil,2006,Ebola,Chronic,1.08,0.49,8.68,36-60,Female,332284,87.02,0.82,7.62,Vaccination,6148.0,Yes,80.17,2954.0,0.17,19730.0,0.41,67.16 +68921,Nigeria,2005,Hepatitis,Respiratory,1.6,1.95,9.05,36-60,Male,569033,59.44,3.18,7.16,Medication,25024.0,Yes,81.45,4681.0,8.0,56371.0,0.89,74.01 +68929,Mexico,2010,HIV/AIDS,Metabolic,13.15,11.34,7.12,36-60,Other,908022,76.9,3.93,5.45,Vaccination,30426.0,No,94.03,4027.0,2.61,85462.0,0.75,30.61 +68934,Saudi Arabia,2007,Influenza,Parasitic,15.56,1.84,2.71,0-18,Female,886378,81.75,4.73,8.74,Medication,24952.0,No,88.8,4555.0,3.57,7463.0,0.77,60.42 +68940,France,2015,Measles,Neurological,10.43,8.97,9.76,61+,Other,384177,66.4,0.97,2.93,Medication,34489.0,Yes,96.2,2288.0,7.51,63998.0,0.51,89.64 +68946,France,2003,COVID-19,Parasitic,1.86,13.34,8.67,0-18,Other,163841,65.28,2.89,2.88,Medication,27495.0,Yes,85.47,3771.0,1.56,32222.0,0.77,49.16 +68948,Turkey,2008,Hypertension,Bacterial,5.58,12.39,4.94,19-35,Other,860074,64.32,1.43,0.86,Surgery,20701.0,Yes,93.35,1187.0,5.72,5299.0,0.7,34.44 +68951,India,2000,Tuberculosis,Neurological,3.53,1.14,0.41,0-18,Male,874546,72.03,2.16,5.89,Surgery,44663.0,No,93.63,282.0,2.63,93258.0,0.52,21.33 +68957,Germany,2014,Measles,Genetic,18.71,10.75,7.96,19-35,Male,327555,61.98,1.67,5.89,Therapy,17806.0,Yes,80.95,4543.0,1.02,49067.0,0.43,42.74 +68962,Canada,2007,Hepatitis,Metabolic,3.15,2.96,3.56,19-35,Male,484125,67.49,3.73,4.88,Medication,19770.0,No,55.89,467.0,2.45,5831.0,0.56,49.62 +68968,China,2012,Asthma,Bacterial,2.6,1.69,7.61,36-60,Other,141821,82.11,0.57,6.78,Medication,34582.0,Yes,80.64,365.0,1.96,96503.0,0.74,84.29 +68980,Turkey,2013,Malaria,Autoimmune,19.56,7.54,8.4,61+,Other,886380,64.04,2.65,0.76,Vaccination,14196.0,No,62.48,3792.0,6.72,61711.0,0.47,81.26 +68989,China,2014,Hypertension,Metabolic,5.12,6.81,8.74,0-18,Other,778708,63.31,2.92,3.93,Therapy,40806.0,Yes,58.33,699.0,5.52,48486.0,0.72,50.97 +68992,China,2021,Diabetes,Cardiovascular,15.24,1.37,9.86,19-35,Female,70426,53.89,4.67,2.33,Vaccination,17673.0,Yes,63.51,809.0,5.02,63227.0,0.6,38.29 +68994,Brazil,2006,Diabetes,Metabolic,11.64,10.97,8.82,61+,Other,187207,52.56,4.11,4.94,Vaccination,22525.0,Yes,91.4,777.0,2.88,10684.0,0.71,70.75 +68995,China,2002,Diabetes,Parasitic,9.68,3.7,9.5,61+,Female,999929,95.2,3.62,6.73,Vaccination,12678.0,Yes,50.85,1564.0,8.51,48879.0,0.66,68.31 +69012,Turkey,2001,Hepatitis,Neurological,5.66,0.66,6.61,0-18,Female,244434,61.7,1.88,5.71,Surgery,10327.0,No,73.45,291.0,3.51,39475.0,0.41,69.77 +69014,Italy,2007,Cholera,Respiratory,3.91,0.84,4.77,36-60,Male,304417,94.0,3.55,1.12,Medication,7464.0,No,74.52,2861.0,8.82,10391.0,0.66,56.99 +69026,Brazil,2022,Dengue,Viral,18.87,7.87,2.67,19-35,Male,222259,57.86,2.96,1.16,Vaccination,31664.0,Yes,51.86,3380.0,5.08,39192.0,0.87,79.29 +69032,Canada,2013,Influenza,Genetic,0.33,14.13,0.91,0-18,Other,863001,62.49,0.92,2.23,Surgery,42077.0,No,67.14,3365.0,8.29,12626.0,0.44,48.11 +69035,Indonesia,2023,Alzheimer's Disease,Neurological,0.36,12.61,4.78,19-35,Other,421340,54.5,4.67,5.47,Vaccination,44368.0,No,90.93,1634.0,1.66,50786.0,0.82,24.77 +69039,Russia,2000,Tuberculosis,Bacterial,18.13,5.18,1.44,36-60,Other,875961,96.09,3.91,8.51,Therapy,10956.0,Yes,88.12,4877.0,3.89,34308.0,0.78,48.74 +69043,Australia,2017,Diabetes,Cardiovascular,7.96,12.51,6.93,61+,Female,699994,94.53,2.99,5.51,Surgery,13156.0,Yes,69.11,1520.0,7.77,8194.0,0.63,24.91 +69045,Indonesia,2021,Influenza,Infectious,10.92,4.29,4.04,36-60,Male,469058,64.83,0.7,1.56,Medication,8633.0,Yes,62.79,3172.0,1.22,46632.0,0.65,29.18 +69047,Indonesia,2003,Hypertension,Respiratory,5.37,12.88,6.23,19-35,Male,334074,70.86,2.03,5.53,Medication,10131.0,Yes,74.68,86.0,9.21,93221.0,0.55,27.74 +69050,Argentina,2014,Ebola,Metabolic,10.37,7.64,5.66,19-35,Female,327615,58.5,0.74,4.56,Vaccination,46140.0,No,53.69,3047.0,7.92,21026.0,0.67,68.67 +69052,France,2006,Parkinson's Disease,Cardiovascular,4.22,4.85,6.16,0-18,Other,406707,98.48,4.66,0.74,Therapy,2817.0,No,52.01,2017.0,9.72,37702.0,0.84,79.41 +69054,UK,2008,Ebola,Respiratory,18.56,5.08,9.63,0-18,Male,520750,61.7,1.0,9.6,Vaccination,5362.0,Yes,93.16,3442.0,1.66,91798.0,0.51,69.9 +69058,South Korea,2022,Zika,Metabolic,9.99,0.16,4.36,19-35,Other,43295,59.3,4.96,3.83,Therapy,15103.0,No,91.09,2917.0,7.36,79417.0,0.65,87.1 +69063,France,2011,Cholera,Viral,13.94,9.92,4.54,0-18,Other,625566,88.98,4.51,5.18,Vaccination,34944.0,No,61.16,549.0,5.63,35304.0,0.65,62.22 +69074,UK,2002,Parkinson's Disease,Viral,11.94,13.84,7.58,36-60,Other,420830,61.96,3.69,4.64,Surgery,11737.0,No,63.29,1100.0,8.64,9142.0,0.51,51.13 +69076,South Africa,2003,Leprosy,Chronic,3.33,11.07,4.56,36-60,Female,270625,74.18,4.27,6.45,Vaccination,36299.0,Yes,56.35,4440.0,8.91,19736.0,0.56,70.66 +69083,Australia,2010,Ebola,Autoimmune,5.11,11.28,4.77,61+,Male,879282,79.27,0.64,2.72,Medication,44823.0,No,65.79,105.0,6.23,46110.0,0.51,85.06 +69092,Brazil,2018,COVID-19,Viral,18.48,1.42,9.93,0-18,Male,477549,76.83,4.36,3.91,Therapy,49752.0,Yes,95.59,4993.0,4.35,65515.0,0.68,63.55 +69093,Nigeria,2016,Hypertension,Respiratory,0.64,9.7,7.42,0-18,Female,299986,69.21,1.73,7.76,Surgery,35409.0,Yes,58.07,3481.0,6.65,76042.0,0.48,49.37 +69096,Japan,2023,COVID-19,Genetic,0.71,8.36,9.35,19-35,Female,759798,91.4,3.45,0.97,Therapy,45115.0,No,50.03,935.0,3.93,38360.0,0.67,20.73 +69114,Germany,2019,Asthma,Bacterial,0.99,7.4,9.77,36-60,Male,233817,99.55,1.64,4.52,Therapy,33743.0,No,97.76,3287.0,0.47,579.0,0.7,71.68 +69117,Japan,2021,Hepatitis,Neurological,3.14,12.48,1.51,36-60,Other,516293,98.35,2.05,8.47,Medication,15495.0,Yes,58.47,3500.0,7.86,72002.0,0.55,37.68 +69120,Indonesia,2019,Ebola,Metabolic,2.21,2.64,0.77,61+,Female,139077,73.79,3.86,3.58,Medication,48174.0,Yes,63.48,1180.0,8.76,62688.0,0.77,47.69 +69124,Germany,2010,Cholera,Chronic,0.76,14.84,3.11,0-18,Male,471910,97.17,1.05,6.26,Therapy,11518.0,No,81.86,933.0,2.2,86954.0,0.84,24.3 +69131,South Africa,2007,COVID-19,Viral,11.79,12.93,5.66,36-60,Other,903442,88.51,4.64,6.28,Surgery,24563.0,Yes,74.05,1954.0,3.73,33834.0,0.5,34.95 +69132,Japan,2014,Rabies,Autoimmune,12.63,10.6,5.38,19-35,Female,65085,51.1,4.62,2.37,Vaccination,15843.0,No,75.89,4673.0,4.78,9339.0,0.43,46.15 +69136,Nigeria,2016,Hepatitis,Bacterial,13.95,13.73,1.02,61+,Male,797023,61.48,1.5,2.2,Vaccination,19886.0,No,63.17,4524.0,3.84,77841.0,0.85,87.75 +69143,USA,2005,HIV/AIDS,Cardiovascular,0.31,0.36,7.74,19-35,Male,280019,63.94,4.16,5.49,Vaccination,10298.0,Yes,97.27,263.0,0.99,23356.0,0.7,72.2 +69148,Japan,2002,HIV/AIDS,Viral,10.92,4.94,0.53,0-18,Female,461787,70.2,2.51,6.06,Surgery,32005.0,No,82.9,2179.0,7.07,24486.0,0.67,52.85 +69158,Turkey,2015,Cancer,Genetic,19.22,0.75,3.83,0-18,Other,411824,96.39,4.06,4.63,Therapy,11714.0,Yes,69.92,1489.0,7.49,66151.0,0.89,64.2 +69169,Italy,2007,Parkinson's Disease,Viral,14.8,4.86,5.39,0-18,Male,229144,68.74,2.34,1.09,Medication,36601.0,Yes,69.25,4087.0,9.28,29707.0,0.57,71.02 +69179,Nigeria,2002,Ebola,Viral,8.02,11.11,5.96,0-18,Male,679561,88.91,1.38,0.66,Therapy,27469.0,Yes,72.93,3609.0,2.61,53264.0,0.69,58.3 +69190,Italy,2015,Cancer,Cardiovascular,1.04,0.22,5.04,61+,Male,52466,69.39,1.02,9.12,Therapy,40345.0,Yes,88.81,1496.0,1.7,62660.0,0.53,33.31 +69191,South Korea,2011,Influenza,Infectious,3.08,8.79,8.66,19-35,Other,371794,75.15,3.15,6.76,Vaccination,335.0,Yes,71.64,4575.0,3.89,50451.0,0.43,60.29 +69192,China,2024,Dengue,Infectious,0.52,13.53,7.6,61+,Female,147709,71.2,2.97,9.57,Surgery,29110.0,Yes,57.28,2624.0,0.21,93867.0,0.44,79.32 +69203,Canada,2021,Zika,Chronic,16.48,12.19,6.79,61+,Female,76983,73.99,3.04,7.17,Therapy,33739.0,Yes,57.97,2717.0,5.24,22567.0,0.87,83.96 +69211,Australia,2012,Influenza,Genetic,10.64,14.21,2.24,19-35,Other,773212,71.17,2.4,9.71,Vaccination,47065.0,No,67.45,3064.0,9.23,54348.0,0.87,35.09 +69212,USA,2024,Malaria,Parasitic,9.89,0.54,3.99,36-60,Female,892412,98.88,3.39,7.63,Vaccination,39823.0,No,96.25,86.0,9.11,38499.0,0.44,80.29 +69213,Canada,2014,Polio,Cardiovascular,11.26,10.55,3.53,0-18,Female,72511,58.91,0.53,0.84,Medication,44079.0,Yes,61.07,2085.0,8.69,44460.0,0.77,74.48 +69218,Turkey,2020,Tuberculosis,Viral,13.93,14.85,5.68,0-18,Male,453798,77.57,1.21,0.65,Surgery,33039.0,No,81.59,1812.0,3.38,52063.0,0.53,83.7 +69225,South Africa,2000,Leprosy,Infectious,19.56,5.72,2.65,0-18,Male,967274,63.62,1.09,4.82,Vaccination,45186.0,Yes,85.89,2581.0,8.27,6080.0,0.44,35.18 +69231,Brazil,2007,Diabetes,Bacterial,10.26,4.26,0.38,0-18,Male,907543,70.52,4.04,3.68,Surgery,33740.0,Yes,70.67,528.0,3.38,95269.0,0.72,60.07 +69236,China,2003,HIV/AIDS,Infectious,19.12,7.15,9.38,0-18,Female,456716,64.77,4.18,9.84,Therapy,5538.0,No,98.05,208.0,7.22,76951.0,0.64,44.46 +69240,Canada,2024,Ebola,Metabolic,2.14,1.33,3.43,36-60,Other,372286,83.88,3.55,2.91,Medication,33030.0,No,57.0,3688.0,6.15,3329.0,0.83,83.62 +69245,USA,2018,Diabetes,Viral,3.6,9.72,3.7,19-35,Female,512890,54.79,0.53,2.21,Therapy,29616.0,No,92.85,129.0,7.28,89768.0,0.43,78.23 +69246,Argentina,2015,Hypertension,Chronic,13.77,8.41,7.58,19-35,Male,982755,95.18,4.77,4.03,Surgery,12355.0,Yes,87.96,589.0,0.72,99171.0,0.82,81.3 +69248,Russia,2007,Parkinson's Disease,Autoimmune,14.99,5.8,0.89,61+,Male,998862,62.14,2.95,9.13,Therapy,1406.0,Yes,66.87,318.0,1.36,14644.0,0.76,33.82 +69249,Mexico,2000,Malaria,Autoimmune,15.45,0.25,7.3,61+,Female,713877,99.66,3.17,9.54,Therapy,47316.0,Yes,52.94,1840.0,5.16,52080.0,0.75,70.99 +69253,South Korea,2002,Hypertension,Chronic,13.13,5.57,6.53,36-60,Female,745526,82.9,3.31,2.16,Medication,37472.0,Yes,80.13,4187.0,4.24,41728.0,0.44,44.31 +69254,Mexico,2015,Polio,Metabolic,10.51,12.76,2.52,36-60,Female,90395,61.29,4.56,1.36,Surgery,18611.0,Yes,64.07,1765.0,9.27,16079.0,0.53,85.74 +69256,Brazil,2009,Dengue,Autoimmune,14.79,3.77,5.4,19-35,Other,749877,75.92,0.89,5.91,Vaccination,36947.0,Yes,60.86,2881.0,6.72,62641.0,0.77,36.48 +69267,South Korea,2009,Polio,Chronic,19.21,0.56,1.4,36-60,Other,183296,98.59,1.26,7.83,Vaccination,36274.0,Yes,81.81,265.0,0.01,65822.0,0.56,62.82 +69279,Saudi Arabia,2015,Hypertension,Chronic,1.34,7.21,5.98,36-60,Female,772093,78.07,4.22,8.12,Vaccination,35708.0,No,74.67,4672.0,1.29,3309.0,0.69,54.83 +69291,Australia,2020,Asthma,Viral,3.77,12.86,6.0,19-35,Male,532592,98.19,4.05,7.33,Medication,28312.0,No,97.05,1527.0,4.22,91386.0,0.77,75.83 +69295,USA,2009,Ebola,Metabolic,15.73,4.48,0.57,19-35,Female,590871,96.42,4.23,4.44,Surgery,8254.0,No,93.17,3892.0,3.2,65890.0,0.52,32.44 +69305,Nigeria,2013,COVID-19,Autoimmune,19.17,12.04,5.66,36-60,Female,451776,88.96,2.46,4.56,Surgery,22860.0,Yes,58.82,2727.0,5.74,43696.0,0.8,61.46 +69308,Brazil,2022,Cancer,Viral,11.37,6.63,6.96,0-18,Female,145416,50.42,2.77,3.16,Therapy,25025.0,No,83.72,408.0,7.92,41470.0,0.41,65.66 +69325,South Africa,2009,Leprosy,Autoimmune,15.72,3.29,1.65,0-18,Other,120488,94.01,1.76,0.58,Therapy,21218.0,No,50.48,2451.0,5.94,5491.0,0.5,30.1 +69326,France,2019,COVID-19,Cardiovascular,8.96,3.78,5.11,61+,Other,204205,63.33,3.47,0.54,Therapy,16702.0,Yes,66.77,2167.0,3.83,14884.0,0.69,87.49 +69328,France,2023,Hepatitis,Metabolic,10.25,4.15,2.76,61+,Other,783538,80.93,1.42,5.45,Vaccination,4558.0,Yes,88.43,3804.0,8.03,72051.0,0.47,53.3 +69331,France,2019,Hepatitis,Cardiovascular,18.74,10.59,4.02,0-18,Other,602434,97.33,0.82,6.52,Medication,8294.0,No,84.01,4732.0,6.39,79956.0,0.54,46.64 +69337,Argentina,2010,COVID-19,Genetic,16.55,12.94,3.27,61+,Male,290007,78.36,2.81,7.84,Surgery,29597.0,Yes,79.61,3478.0,4.5,92690.0,0.85,73.75 +69339,Germany,2019,Rabies,Genetic,8.63,11.79,9.79,19-35,Other,57152,80.26,0.65,6.61,Vaccination,1731.0,No,62.59,1733.0,2.45,92280.0,0.58,57.0 +69340,Japan,2000,Cholera,Metabolic,12.79,8.32,6.05,61+,Other,832054,81.46,4.91,4.1,Therapy,46375.0,No,79.0,4940.0,1.12,30287.0,0.64,71.55 +69345,Mexico,2005,Malaria,Respiratory,17.96,11.81,6.16,0-18,Female,380387,78.05,3.32,6.04,Surgery,7278.0,No,66.92,1600.0,8.02,29134.0,0.81,42.24 +69348,Japan,2009,Alzheimer's Disease,Respiratory,12.2,4.09,1.4,36-60,Other,915349,51.29,4.59,6.78,Surgery,38705.0,No,73.44,4925.0,2.1,29046.0,0.63,60.68 +69356,Saudi Arabia,2020,Rabies,Infectious,11.4,11.11,1.59,19-35,Male,887973,91.89,4.54,9.04,Vaccination,12417.0,Yes,60.14,4325.0,2.05,45705.0,0.67,50.59 +69361,USA,2009,Tuberculosis,Metabolic,1.32,12.58,2.9,19-35,Other,973212,76.72,1.01,7.24,Therapy,21949.0,No,53.25,1784.0,0.81,77467.0,0.7,43.3 +69363,Argentina,2002,Cholera,Viral,18.87,8.97,9.49,36-60,Male,501912,88.23,2.0,3.86,Vaccination,47036.0,No,67.81,888.0,7.88,69377.0,0.59,62.09 +69368,Italy,2001,Diabetes,Cardiovascular,4.84,12.97,8.94,36-60,Other,499422,85.53,4.2,6.93,Medication,12583.0,No,52.15,499.0,2.22,67629.0,0.52,64.15 +69376,Nigeria,2007,Zika,Genetic,19.68,13.73,2.89,61+,Other,276713,97.96,0.7,1.44,Therapy,48781.0,Yes,69.0,474.0,5.77,63051.0,0.53,37.93 +69378,UK,2019,Alzheimer's Disease,Genetic,19.75,6.95,7.25,36-60,Female,604601,59.57,4.87,7.96,Medication,44140.0,Yes,77.13,1913.0,6.96,60186.0,0.73,77.72 +69388,Saudi Arabia,2009,Zika,Infectious,15.39,2.37,7.2,0-18,Female,587483,59.41,3.75,8.63,Therapy,27405.0,Yes,83.36,77.0,9.07,75608.0,0.43,39.16 +69397,Canada,2020,Malaria,Neurological,13.43,11.28,5.33,19-35,Other,181348,86.02,2.06,3.77,Vaccination,38770.0,Yes,50.42,226.0,3.9,98884.0,0.63,86.21 +69403,South Korea,2006,Cholera,Viral,3.26,1.06,2.42,61+,Other,296743,76.0,3.94,6.49,Vaccination,49665.0,Yes,82.1,3908.0,1.59,44281.0,0.69,80.64 +69411,Argentina,2001,Diabetes,Neurological,12.62,3.16,3.68,0-18,Female,51625,58.45,2.42,3.8,Therapy,46172.0,No,58.45,171.0,2.33,38312.0,0.53,58.0 +69413,France,2024,HIV/AIDS,Autoimmune,19.09,4.52,7.77,61+,Female,970536,56.71,1.32,4.39,Vaccination,17758.0,Yes,66.67,215.0,3.53,18616.0,0.42,57.6 +69415,Brazil,2013,Alzheimer's Disease,Bacterial,6.98,6.79,5.73,61+,Female,648486,82.43,4.55,7.83,Vaccination,44775.0,No,60.03,1654.0,6.02,36651.0,0.66,57.45 +69428,China,2011,HIV/AIDS,Genetic,11.57,4.86,1.08,61+,Other,687937,86.29,0.94,1.77,Therapy,47734.0,Yes,89.69,2358.0,6.97,17220.0,0.41,57.7 +69434,Germany,2019,Hypertension,Autoimmune,15.51,12.65,2.66,0-18,Male,726054,60.82,4.27,8.96,Therapy,6201.0,No,55.63,205.0,2.84,42288.0,0.89,35.14 +69441,Japan,2006,Malaria,Genetic,15.87,11.86,4.67,19-35,Other,744139,90.45,4.93,3.28,Medication,16504.0,No,93.98,4372.0,7.02,19773.0,0.55,30.91 +69452,Germany,2007,Cholera,Infectious,7.2,3.56,3.92,19-35,Other,526371,83.9,4.46,9.77,Vaccination,8500.0,No,55.23,4496.0,1.15,93164.0,0.67,59.83 +69467,Germany,2008,Cancer,Metabolic,18.39,3.48,8.87,0-18,Male,25648,79.03,2.16,9.47,Surgery,2119.0,No,78.61,3161.0,2.63,14945.0,0.64,71.46 +69472,Saudi Arabia,2002,Hypertension,Respiratory,18.78,14.03,7.48,0-18,Other,236854,54.11,4.68,6.28,Therapy,890.0,No,94.03,3225.0,2.49,82428.0,0.54,77.06 +69473,Nigeria,2000,Hepatitis,Bacterial,14.54,14.11,6.52,36-60,Other,582965,81.46,4.99,0.65,Therapy,42501.0,No,78.41,3804.0,1.98,1756.0,0.9,58.64 +69482,Saudi Arabia,2007,Leprosy,Respiratory,14.67,12.12,0.9,61+,Female,175660,56.97,1.16,6.91,Medication,18766.0,No,97.61,1617.0,6.49,58124.0,0.47,23.32 +69500,Germany,2011,Zika,Genetic,8.1,10.91,2.09,36-60,Female,629026,88.82,4.34,6.35,Surgery,24524.0,No,83.86,1132.0,0.14,21817.0,0.71,69.53 +69502,France,2011,Zika,Cardiovascular,18.84,13.53,6.87,19-35,Male,50574,93.85,0.64,1.8,Vaccination,29364.0,No,82.64,2454.0,7.19,49844.0,0.58,29.78 +69512,Brazil,2008,Leprosy,Parasitic,15.25,6.76,6.82,61+,Male,905561,78.85,3.65,1.36,Vaccination,18622.0,No,89.64,1628.0,5.08,35185.0,0.44,72.27 +69514,Australia,2023,COVID-19,Metabolic,13.68,4.33,7.5,19-35,Other,706248,65.53,1.81,7.92,Therapy,40766.0,No,53.64,2532.0,1.78,39740.0,0.42,75.02 +69515,India,2001,HIV/AIDS,Respiratory,12.42,2.93,9.15,61+,Other,685866,77.82,1.84,9.73,Therapy,24295.0,No,72.78,3806.0,7.05,64205.0,0.61,76.46 +69521,South Africa,2016,Diabetes,Autoimmune,16.01,5.07,2.36,61+,Male,750234,54.26,2.28,7.63,Therapy,31869.0,No,92.14,2732.0,4.12,21847.0,0.86,67.63 +69523,Indonesia,2019,Hepatitis,Genetic,3.13,4.33,2.86,0-18,Female,28071,73.56,3.62,1.37,Surgery,29376.0,Yes,81.53,4783.0,5.66,12295.0,0.48,44.5 +69535,Germany,2001,Malaria,Autoimmune,9.7,4.85,0.85,36-60,Female,3190,68.28,2.08,6.37,Therapy,9475.0,Yes,75.73,1830.0,7.59,73117.0,0.81,65.38 +69538,Italy,2006,Dengue,Autoimmune,0.88,6.19,9.93,36-60,Female,786878,66.76,4.07,7.07,Therapy,41738.0,Yes,79.13,4996.0,3.9,22648.0,0.42,63.02 +69548,South Korea,2006,Malaria,Parasitic,17.97,6.65,3.7,0-18,Female,160905,63.09,2.8,7.09,Surgery,26454.0,No,85.88,1783.0,3.68,2771.0,0.69,21.04 +69554,Saudi Arabia,2010,Hypertension,Parasitic,16.01,4.34,3.49,0-18,Other,851834,80.1,2.54,7.03,Vaccination,47616.0,No,56.58,3328.0,1.82,37846.0,0.42,23.92 +69556,Argentina,2010,Tuberculosis,Metabolic,6.0,4.54,9.25,61+,Other,404135,50.08,3.97,9.33,Medication,38117.0,Yes,73.53,1351.0,6.9,23974.0,0.7,25.46 +69563,UK,2016,Rabies,Genetic,3.34,8.78,1.64,19-35,Male,254797,81.03,2.23,7.74,Medication,22709.0,Yes,73.76,3464.0,9.24,46827.0,0.81,57.67 +69565,Japan,2020,Diabetes,Neurological,7.64,0.53,5.78,19-35,Female,773285,76.82,3.97,4.51,Medication,20677.0,No,81.05,4645.0,4.0,12743.0,0.88,59.08 +69573,India,2022,Ebola,Cardiovascular,17.82,13.7,0.24,36-60,Other,869723,74.16,4.82,8.78,Surgery,41373.0,Yes,76.53,3904.0,9.67,30211.0,0.67,34.11 +69575,Japan,2009,Zika,Metabolic,4.53,10.99,5.73,61+,Male,971193,61.85,4.96,5.21,Vaccination,27126.0,No,51.88,2829.0,9.98,72397.0,0.57,48.28 +69581,Saudi Arabia,2001,Ebola,Respiratory,6.56,5.63,1.08,61+,Male,381841,95.5,2.36,2.06,Medication,23192.0,No,72.71,2163.0,3.51,71096.0,0.69,50.13 +69582,Russia,2007,Parkinson's Disease,Metabolic,12.02,4.15,5.18,36-60,Male,745658,94.94,3.43,2.8,Vaccination,32960.0,Yes,65.18,371.0,3.56,93970.0,0.57,36.23 +69588,South Africa,2000,Polio,Parasitic,16.54,5.42,4.77,36-60,Male,772063,89.94,1.75,7.87,Therapy,25697.0,No,93.27,4706.0,0.28,72251.0,0.7,66.48 +69595,Argentina,2010,Cancer,Respiratory,1.1,2.89,0.29,0-18,Female,663815,91.73,2.92,7.86,Vaccination,21879.0,No,51.45,1821.0,3.15,47428.0,0.54,59.69 +69596,Japan,2007,Malaria,Genetic,2.72,6.47,5.53,0-18,Other,621002,88.16,4.18,2.98,Therapy,30699.0,Yes,89.0,381.0,3.48,32262.0,0.45,66.73 +69610,Canada,2007,Leprosy,Cardiovascular,1.92,9.12,1.59,0-18,Male,886560,94.92,2.92,6.93,Surgery,45420.0,No,69.17,1374.0,6.08,75049.0,0.47,78.62 +69614,France,2017,Hepatitis,Bacterial,0.32,7.88,3.65,61+,Male,354753,84.48,3.32,9.68,Surgery,1837.0,No,97.87,3237.0,8.94,54953.0,0.82,64.03 +69617,South Africa,2015,Cholera,Chronic,14.45,5.88,6.95,61+,Female,786780,62.36,4.58,4.43,Medication,45083.0,No,68.75,3029.0,3.58,5455.0,0.73,38.04 +69623,India,2001,Asthma,Bacterial,19.37,1.79,2.88,19-35,Other,668410,70.29,3.04,4.51,Medication,30956.0,Yes,70.79,2876.0,6.01,51487.0,0.81,48.97 +69628,Saudi Arabia,2019,Influenza,Bacterial,19.75,9.46,1.9,61+,Male,42505,92.74,4.26,1.0,Therapy,21028.0,Yes,65.03,4862.0,1.39,84323.0,0.48,76.59 +69633,Nigeria,2000,Diabetes,Respiratory,2.51,14.95,6.99,61+,Other,829705,95.31,3.34,1.43,Medication,37250.0,Yes,69.12,2038.0,0.8,85319.0,0.42,55.57 +69637,USA,2002,Leprosy,Metabolic,19.3,3.8,8.26,36-60,Male,648813,90.74,3.95,8.99,Vaccination,48193.0,Yes,62.46,4328.0,5.95,83308.0,0.69,79.07 +69638,China,2009,Rabies,Cardiovascular,17.13,12.7,3.27,61+,Female,809698,73.22,1.47,4.51,Therapy,42581.0,No,91.29,4598.0,2.61,43591.0,0.68,62.6 +69655,India,2011,Tuberculosis,Infectious,6.0,14.58,3.37,19-35,Male,693514,58.63,1.79,4.5,Vaccination,29004.0,Yes,67.49,2188.0,8.69,76221.0,0.87,55.14 +69658,Indonesia,2023,Parkinson's Disease,Metabolic,10.02,14.43,3.87,61+,Male,359749,97.63,3.45,2.0,Surgery,22738.0,No,96.69,972.0,1.29,79735.0,0.62,35.63 +69659,Mexico,2004,Alzheimer's Disease,Cardiovascular,19.91,13.38,3.5,0-18,Other,753608,50.62,1.77,4.43,Surgery,23334.0,No,83.71,1081.0,3.34,72956.0,0.8,55.34 +69673,Mexico,2022,HIV/AIDS,Autoimmune,4.03,12.75,5.18,19-35,Other,729393,84.21,2.89,2.49,Vaccination,29656.0,No,94.08,3404.0,3.74,11499.0,0.8,40.88 +69675,Turkey,2012,Hypertension,Respiratory,13.08,9.22,8.48,0-18,Female,415217,69.52,4.45,5.46,Surgery,44210.0,Yes,98.53,3081.0,4.52,24947.0,0.41,57.68 +69677,Mexico,2018,Tuberculosis,Respiratory,18.77,14.37,6.81,36-60,Male,788828,62.32,3.97,4.18,Therapy,18337.0,No,55.64,4273.0,7.5,62968.0,0.82,67.7 +69679,South Africa,2009,Cholera,Bacterial,3.43,2.21,5.55,61+,Other,790477,85.53,2.79,9.36,Therapy,36346.0,No,55.02,2917.0,6.86,56255.0,0.85,86.18 +69682,Mexico,2017,Alzheimer's Disease,Respiratory,0.56,7.06,1.66,0-18,Male,450549,93.98,1.44,0.86,Therapy,34983.0,No,84.13,46.0,0.52,21097.0,0.85,83.28 +69683,Indonesia,2008,Influenza,Chronic,18.94,6.34,2.25,19-35,Female,640144,63.7,2.15,1.15,Medication,2902.0,Yes,84.81,57.0,5.94,99870.0,0.83,59.27 +69686,Nigeria,2014,Zika,Respiratory,19.81,14.62,1.8,0-18,Other,881266,62.69,1.26,2.17,Surgery,30249.0,No,72.56,2920.0,3.07,3706.0,0.68,44.5 +69687,France,2022,Rabies,Metabolic,15.04,4.44,5.75,36-60,Other,637424,58.28,3.66,0.78,Medication,30157.0,Yes,76.99,534.0,5.69,63398.0,0.77,67.41 +69689,China,2000,Diabetes,Bacterial,16.03,2.75,1.96,19-35,Other,343868,76.04,2.85,5.52,Therapy,49028.0,No,74.22,1832.0,9.42,31243.0,0.57,48.38 +69697,South Korea,2024,COVID-19,Infectious,9.59,6.8,6.49,36-60,Female,56854,97.07,1.39,6.55,Therapy,4989.0,No,96.42,2744.0,2.4,85744.0,0.8,73.21 +69704,Japan,2004,Diabetes,Parasitic,8.64,4.92,9.7,19-35,Male,831328,73.3,2.06,3.72,Therapy,29201.0,No,56.97,158.0,1.24,30016.0,0.65,26.07 +69715,China,2016,Cholera,Viral,10.15,8.76,9.55,0-18,Female,993921,96.87,1.38,7.24,Medication,16053.0,Yes,82.17,4431.0,9.96,37998.0,0.56,83.68 +69716,Turkey,2007,Dengue,Parasitic,8.95,6.68,2.06,19-35,Other,448257,89.46,4.43,0.64,Surgery,39905.0,Yes,72.33,1884.0,4.88,10613.0,0.57,85.34 +69729,Saudi Arabia,2014,COVID-19,Viral,10.41,2.44,4.86,61+,Female,267324,87.27,2.19,7.61,Vaccination,31846.0,No,50.64,1984.0,6.69,31985.0,0.59,83.84 +69730,Turkey,2006,Cancer,Parasitic,17.12,12.69,3.74,19-35,Male,433488,63.0,3.62,6.84,Medication,28532.0,Yes,50.99,2219.0,5.99,84459.0,0.42,45.67 +69737,South Korea,2011,Asthma,Cardiovascular,9.14,14.12,6.37,19-35,Female,900777,52.55,3.64,5.6,Vaccination,38923.0,Yes,71.06,2983.0,3.36,89393.0,0.85,68.98 +69750,Saudi Arabia,2012,Leprosy,Genetic,9.3,7.22,2.91,61+,Male,210855,84.73,0.71,9.04,Medication,46822.0,No,56.69,2059.0,0.62,20268.0,0.83,71.55 +69756,South Africa,2002,Tuberculosis,Autoimmune,5.16,14.43,4.33,19-35,Female,50867,61.78,3.99,6.41,Therapy,8693.0,Yes,56.58,1017.0,3.48,46539.0,0.77,75.04 +69759,India,2011,Ebola,Cardiovascular,4.34,2.39,0.35,19-35,Other,400916,75.04,1.53,3.76,Vaccination,13269.0,Yes,80.48,2122.0,9.97,18286.0,0.74,76.44 +69764,Argentina,2011,Measles,Genetic,5.71,8.75,7.77,19-35,Male,941876,99.13,4.83,8.6,Surgery,6886.0,No,62.62,3829.0,2.14,34229.0,0.75,68.15 +69765,Japan,2016,HIV/AIDS,Autoimmune,10.95,2.24,1.84,0-18,Male,997278,97.57,2.47,3.14,Therapy,48932.0,Yes,63.24,2367.0,2.81,74718.0,0.49,23.59 +69767,UK,2011,Malaria,Neurological,9.99,7.93,1.5,36-60,Male,637302,98.36,3.61,4.39,Therapy,444.0,Yes,86.98,2403.0,6.54,46926.0,0.58,38.72 +69769,Australia,2020,Zika,Cardiovascular,10.85,14.23,9.81,0-18,Male,77774,81.05,0.74,6.42,Medication,12322.0,Yes,77.84,3222.0,3.77,74484.0,0.59,22.24 +69774,France,2003,Ebola,Genetic,18.65,11.14,3.45,61+,Male,227290,98.89,3.79,9.87,Medication,32698.0,Yes,72.44,919.0,8.36,15104.0,0.89,41.99 +69776,South Korea,2014,Cancer,Parasitic,5.62,11.46,5.73,36-60,Other,286409,68.08,2.7,2.12,Medication,42895.0,No,58.61,4330.0,9.48,51786.0,0.85,81.53 +69778,Nigeria,2002,Dengue,Autoimmune,12.01,7.54,4.68,0-18,Male,698377,54.0,4.33,8.28,Surgery,2787.0,Yes,75.37,386.0,7.52,76404.0,0.67,34.33 +69790,South Africa,2024,Dengue,Bacterial,12.02,0.89,1.18,36-60,Female,532258,52.54,3.52,1.89,Therapy,32562.0,Yes,98.23,4763.0,7.08,41945.0,0.74,24.67 +69791,Russia,2009,Leprosy,Autoimmune,3.12,0.93,6.56,36-60,Other,34764,63.68,0.91,3.13,Vaccination,17944.0,No,75.81,748.0,8.98,8751.0,0.54,42.64 +69804,Indonesia,2000,Influenza,Bacterial,7.94,10.37,4.63,61+,Male,531445,52.67,4.19,6.99,Medication,21231.0,Yes,85.72,1247.0,6.15,25261.0,0.45,87.56 +69810,USA,2012,Hepatitis,Metabolic,19.8,2.23,7.58,36-60,Male,760959,89.26,0.53,2.74,Medication,3556.0,Yes,72.14,333.0,8.16,3734.0,0.64,68.06 +69811,Brazil,2021,HIV/AIDS,Autoimmune,11.49,10.92,5.9,61+,Female,131000,52.01,2.24,4.67,Vaccination,13241.0,Yes,70.76,846.0,5.7,22741.0,0.45,31.24 +69815,China,2018,Measles,Cardiovascular,6.57,10.19,5.06,36-60,Female,529470,91.3,2.61,5.02,Surgery,24610.0,No,60.1,1435.0,8.41,25375.0,0.74,42.01 +69818,Russia,2023,Rabies,Parasitic,11.33,11.04,7.15,61+,Other,267433,63.19,2.56,8.61,Vaccination,37704.0,Yes,70.69,1489.0,9.55,66953.0,0.56,76.04 +69820,Australia,2020,Cholera,Cardiovascular,18.14,4.75,3.11,0-18,Female,615161,81.43,1.52,2.24,Vaccination,35413.0,Yes,51.87,2965.0,2.63,66773.0,0.43,86.5 +69821,France,2022,Hypertension,Bacterial,15.61,0.29,9.25,61+,Female,75972,92.58,3.91,1.51,Surgery,2272.0,No,98.17,2480.0,4.83,68679.0,0.41,26.58 +69823,Italy,2015,Parkinson's Disease,Genetic,1.82,10.65,1.73,19-35,Female,378936,78.89,1.86,2.28,Surgery,21700.0,Yes,70.52,4408.0,2.16,41723.0,0.42,76.59 +69832,India,2017,Malaria,Viral,18.96,6.08,5.66,36-60,Other,504887,92.02,1.73,7.7,Medication,45314.0,Yes,62.09,693.0,6.38,55243.0,0.67,44.49 +69854,South Korea,2001,Cancer,Bacterial,8.46,9.65,3.86,61+,Other,231730,69.13,4.87,4.71,Vaccination,30990.0,Yes,66.55,136.0,2.35,79726.0,0.69,21.62 +69859,Saudi Arabia,2015,Cancer,Chronic,5.82,10.98,3.68,36-60,Other,473875,57.69,3.27,6.84,Surgery,30122.0,No,89.3,326.0,3.72,6635.0,0.75,33.86 +69860,Indonesia,2016,Ebola,Autoimmune,13.26,14.61,6.08,0-18,Female,416592,57.06,4.6,6.81,Therapy,34540.0,Yes,54.71,4524.0,2.24,62513.0,0.73,67.42 +69861,France,2010,Tuberculosis,Viral,12.25,1.45,3.14,61+,Female,396559,86.59,3.28,2.23,Medication,1077.0,Yes,97.86,3489.0,4.25,44274.0,0.59,45.24 +69862,Mexico,2018,Malaria,Parasitic,13.41,4.94,9.75,61+,Female,29629,52.76,2.89,8.75,Medication,6988.0,No,75.22,1580.0,7.38,86461.0,0.45,33.65 +69868,Japan,2003,Cancer,Neurological,3.81,6.38,5.73,19-35,Female,574512,83.51,0.98,6.72,Medication,48936.0,No,95.09,1761.0,8.04,1821.0,0.89,20.84 +69872,South Africa,2011,HIV/AIDS,Respiratory,14.49,6.62,5.78,61+,Male,653826,83.03,1.58,2.35,Medication,46597.0,Yes,66.76,3285.0,3.63,71441.0,0.45,24.34 +69884,India,2004,Zika,Neurological,13.73,1.78,9.75,19-35,Male,687406,60.91,1.37,4.37,Vaccination,36933.0,Yes,73.98,1973.0,5.64,84167.0,0.6,55.85 +69889,China,2004,COVID-19,Viral,15.84,1.33,8.13,61+,Other,696905,53.02,0.61,3.35,Medication,7599.0,No,78.9,4005.0,6.89,37553.0,0.55,70.75 +69893,Nigeria,2020,Tuberculosis,Infectious,18.78,4.42,3.72,0-18,Other,263969,56.09,1.07,7.17,Vaccination,10839.0,Yes,81.06,4242.0,3.24,74238.0,0.73,58.06 +69895,India,2004,Rabies,Respiratory,3.48,13.95,7.1,36-60,Other,606965,91.66,1.75,9.4,Therapy,41856.0,Yes,94.88,1493.0,2.1,19120.0,0.56,86.15 +69896,Turkey,2000,Measles,Chronic,10.69,0.93,0.75,36-60,Female,264508,65.41,4.95,3.04,Therapy,15471.0,No,91.54,2464.0,6.44,20628.0,0.71,61.09 +69910,UK,2023,Zika,Parasitic,10.67,2.48,5.46,36-60,Female,703061,91.72,2.7,4.1,Surgery,461.0,No,97.74,3097.0,3.81,90485.0,0.56,73.32 +69914,Russia,2002,Influenza,Neurological,8.73,8.74,6.44,61+,Female,964458,50.4,2.28,0.85,Vaccination,27488.0,No,97.84,3088.0,0.44,27959.0,0.71,61.74 +69923,Australia,2015,Ebola,Respiratory,18.94,7.34,1.28,36-60,Female,782726,82.32,1.13,3.72,Medication,12347.0,Yes,52.56,580.0,1.85,16842.0,0.55,30.95 +69924,Brazil,2024,HIV/AIDS,Cardiovascular,6.07,10.54,8.07,61+,Female,850819,69.69,2.41,1.47,Therapy,40300.0,No,85.99,3274.0,9.99,59767.0,0.73,42.71 +69930,Nigeria,2016,Alzheimer's Disease,Metabolic,11.67,1.81,3.6,36-60,Male,834509,85.34,0.62,8.93,Therapy,31547.0,No,95.2,3099.0,7.66,73387.0,0.54,45.91 +69939,Russia,2000,Hypertension,Neurological,7.64,6.98,4.53,36-60,Other,146916,79.65,4.48,5.77,Vaccination,40517.0,No,68.58,805.0,0.39,5894.0,0.53,49.2 +69945,Turkey,2014,Malaria,Bacterial,2.87,14.66,5.89,36-60,Other,304847,78.33,4.22,2.04,Medication,38737.0,Yes,66.16,1226.0,8.57,11595.0,0.87,71.83 +69948,Indonesia,2006,Rabies,Infectious,3.28,5.17,5.13,36-60,Female,370359,52.82,1.28,0.76,Therapy,40817.0,Yes,90.37,1414.0,0.9,87136.0,0.64,41.56 +69952,South Africa,2008,Parkinson's Disease,Neurological,2.99,8.21,8.89,19-35,Male,545120,86.42,3.11,9.7,Surgery,27022.0,Yes,69.81,3439.0,0.66,58725.0,0.44,62.65 +69965,Germany,2002,Polio,Genetic,5.83,2.44,2.96,36-60,Other,817128,81.78,2.84,7.61,Medication,43556.0,No,51.72,1276.0,5.78,75663.0,0.52,28.26 +69966,Argentina,2000,Zika,Viral,2.82,2.94,4.82,19-35,Other,286888,53.75,2.9,5.0,Vaccination,11695.0,Yes,59.56,2403.0,2.8,78921.0,0.72,89.55 +69967,China,2000,Influenza,Respiratory,2.57,4.88,6.07,0-18,Male,72469,87.1,2.43,0.7,Vaccination,8427.0,Yes,67.32,1021.0,6.61,55438.0,0.76,82.73 +69975,Saudi Arabia,2007,Asthma,Respiratory,14.56,2.41,2.87,0-18,Male,155376,93.16,2.18,8.62,Vaccination,33645.0,No,87.24,3023.0,1.78,33015.0,0.54,75.52 +69988,Turkey,2019,Rabies,Cardiovascular,5.29,6.36,6.57,61+,Male,164823,57.05,0.8,1.68,Vaccination,34559.0,No,65.31,4108.0,6.54,7694.0,0.46,31.29 +69997,Indonesia,2024,Asthma,Genetic,18.49,1.59,7.48,0-18,Other,404579,65.54,4.12,1.46,Surgery,36231.0,Yes,81.83,251.0,6.41,46231.0,0.8,83.15 +69998,India,2020,Rabies,Genetic,17.98,2.79,2.68,36-60,Female,66116,70.95,4.48,8.7,Medication,32396.0,No,93.5,2330.0,9.67,23231.0,0.86,51.39 +70002,Indonesia,2022,Rabies,Cardiovascular,7.02,14.13,0.62,61+,Female,808177,78.88,2.26,3.7,Vaccination,47306.0,No,93.69,366.0,4.7,44480.0,0.73,68.77 +70005,USA,2013,Rabies,Respiratory,3.13,14.86,6.17,61+,Other,670938,85.06,1.35,6.56,Therapy,35463.0,Yes,51.24,3771.0,0.12,66372.0,0.64,23.2 +70012,France,2009,Hypertension,Genetic,0.76,5.45,8.33,61+,Other,269422,52.32,3.94,7.73,Therapy,39503.0,Yes,67.4,1111.0,1.76,61287.0,0.85,60.09 +70014,France,2000,Zika,Viral,5.71,7.39,2.39,0-18,Male,402941,87.55,3.12,1.6,Therapy,29517.0,No,72.6,1057.0,9.55,37273.0,0.51,46.19 +70017,Saudi Arabia,2004,Dengue,Bacterial,14.01,1.72,0.17,36-60,Female,426472,90.46,3.76,9.78,Surgery,46086.0,No,53.02,55.0,7.35,3597.0,0.69,57.94 +70020,Argentina,2012,COVID-19,Chronic,10.62,11.2,9.46,0-18,Female,21751,58.95,3.55,6.35,Surgery,41899.0,Yes,59.14,3481.0,4.51,22190.0,0.67,26.77 +70022,Turkey,2007,Cancer,Genetic,0.2,1.02,5.0,36-60,Other,331067,87.62,1.18,9.19,Therapy,9633.0,No,59.52,3955.0,3.22,30564.0,0.83,41.09 +70032,Japan,2002,Hypertension,Infectious,13.7,3.34,2.01,36-60,Female,331141,82.94,4.29,0.89,Therapy,38119.0,No,93.52,2767.0,2.08,58027.0,0.66,41.22 +70043,Indonesia,2011,Rabies,Parasitic,5.58,9.45,3.03,36-60,Male,17063,75.98,2.49,1.76,Surgery,44310.0,Yes,71.74,624.0,3.37,28063.0,0.6,87.51 +70049,China,2016,Cancer,Chronic,7.75,1.52,7.54,36-60,Male,903335,99.22,4.28,8.92,Medication,31583.0,Yes,62.8,113.0,7.64,57350.0,0.63,72.27 +70052,China,2008,Rabies,Genetic,15.34,9.28,2.42,19-35,Other,655746,55.37,2.0,4.03,Medication,30806.0,Yes,52.14,4912.0,0.55,65214.0,0.5,66.56 +70055,South Korea,2013,Parkinson's Disease,Cardiovascular,1.38,7.0,1.93,0-18,Male,983547,54.44,3.55,9.26,Vaccination,9255.0,Yes,50.02,4384.0,9.72,46664.0,0.72,52.79 +70061,Germany,2015,Cholera,Neurological,5.12,14.31,5.8,0-18,Male,253319,67.61,3.96,6.32,Vaccination,45488.0,No,97.65,1827.0,4.1,50628.0,0.73,44.45 +70069,China,2017,HIV/AIDS,Respiratory,7.07,0.24,1.74,61+,Female,802747,63.8,1.78,4.14,Surgery,9040.0,Yes,75.77,3193.0,3.39,72175.0,0.89,35.69 +70075,India,2023,Leprosy,Autoimmune,15.81,4.35,1.89,19-35,Female,202766,96.28,2.34,9.97,Surgery,16674.0,Yes,67.82,2051.0,2.54,36381.0,0.73,62.34 +70084,Russia,2012,Cancer,Metabolic,18.28,6.59,5.31,19-35,Female,358119,89.05,3.4,2.39,Surgery,24690.0,Yes,85.97,4781.0,1.42,78983.0,0.6,31.03 +70092,Brazil,2023,Measles,Cardiovascular,12.8,9.88,4.66,61+,Female,667631,75.43,4.3,9.9,Surgery,35162.0,No,61.67,183.0,4.59,87525.0,0.71,86.26 +70102,Japan,2001,Influenza,Viral,2.32,1.51,8.92,19-35,Other,223753,92.07,3.46,3.47,Surgery,23550.0,No,74.81,853.0,4.46,73696.0,0.66,85.44 +70108,Nigeria,2018,Rabies,Respiratory,14.87,3.52,6.14,0-18,Other,782815,88.47,1.92,5.89,Medication,13670.0,Yes,98.81,3173.0,1.28,87702.0,0.47,84.99 +70111,China,2013,Asthma,Chronic,17.44,12.88,5.69,0-18,Male,460639,89.36,0.66,9.11,Surgery,13797.0,No,94.69,2154.0,2.21,43625.0,0.63,43.91 +70116,Australia,2003,Parkinson's Disease,Respiratory,13.58,7.73,7.76,61+,Female,339615,74.05,4.12,8.94,Therapy,7648.0,Yes,82.43,4483.0,6.05,88608.0,0.6,28.46 +70118,Japan,2003,Dengue,Cardiovascular,8.71,6.32,2.8,36-60,Other,186551,69.67,2.2,1.53,Therapy,17481.0,Yes,94.25,3168.0,8.62,15462.0,0.82,77.51 +70122,Indonesia,2000,Cholera,Genetic,3.44,14.9,5.41,36-60,Male,71127,96.32,1.25,8.76,Surgery,10191.0,No,50.9,2853.0,9.98,27848.0,0.77,61.02 +70144,USA,2002,Measles,Bacterial,17.56,8.31,3.21,61+,Female,146968,74.28,4.16,2.79,Surgery,42726.0,No,93.59,2469.0,8.74,69798.0,0.65,53.74 +70146,Turkey,2006,Malaria,Neurological,3.46,3.88,9.56,36-60,Female,616141,81.01,4.17,7.22,Therapy,27166.0,No,89.72,2353.0,0.43,47388.0,0.61,47.61 +70150,Mexico,2003,Rabies,Genetic,16.08,13.36,7.07,36-60,Other,172033,73.58,0.54,6.1,Therapy,4062.0,No,74.08,555.0,4.88,99740.0,0.81,38.61 +70151,USA,2006,Malaria,Autoimmune,15.29,11.09,7.71,36-60,Other,620171,84.98,1.05,7.1,Vaccination,1366.0,Yes,88.43,3645.0,8.69,56783.0,0.47,52.5 +70155,Indonesia,2003,Tuberculosis,Chronic,19.34,14.8,0.7,61+,Female,864603,72.9,2.81,4.74,Surgery,6844.0,No,86.98,1714.0,8.02,33909.0,0.42,65.41 +70167,South Africa,2008,Zika,Genetic,18.47,13.29,2.08,36-60,Female,678212,98.64,2.76,8.59,Surgery,8937.0,Yes,98.57,3837.0,0.38,7730.0,0.5,74.56 +70169,Mexico,2013,Diabetes,Viral,18.07,2.36,1.18,19-35,Female,741582,76.43,3.64,7.28,Vaccination,35453.0,No,78.12,3320.0,7.9,64748.0,0.5,21.02 +70173,UK,2016,Influenza,Bacterial,11.28,9.57,0.77,0-18,Female,936527,79.8,2.79,7.55,Vaccination,9927.0,Yes,82.86,461.0,4.77,89125.0,0.77,35.5 +70196,Turkey,2011,Alzheimer's Disease,Respiratory,6.06,8.6,3.3,0-18,Other,139385,61.71,1.58,2.43,Vaccination,1617.0,No,85.89,2911.0,0.08,23533.0,0.72,67.17 +70199,Argentina,2013,Asthma,Bacterial,16.79,1.43,2.61,61+,Male,975408,96.34,2.01,2.59,Surgery,7965.0,No,93.29,4102.0,0.18,31651.0,0.67,57.02 +70204,Brazil,2021,HIV/AIDS,Autoimmune,19.91,5.01,9.43,19-35,Other,694768,58.44,2.84,4.01,Surgery,26805.0,Yes,72.7,2190.0,3.09,31061.0,0.68,50.26 +70210,UK,2005,Zika,Bacterial,13.63,0.62,9.77,0-18,Male,811351,59.91,2.65,1.19,Medication,31192.0,No,88.6,858.0,3.51,62702.0,0.81,37.13 +70215,France,2009,Measles,Neurological,17.92,10.14,8.66,0-18,Female,12708,97.33,3.43,8.67,Surgery,13240.0,Yes,69.34,3467.0,4.13,97660.0,0.74,31.37 +70222,Turkey,2022,Parkinson's Disease,Neurological,16.99,12.25,0.57,61+,Female,861727,74.66,0.61,2.28,Surgery,3544.0,No,52.68,250.0,2.42,33434.0,0.57,26.08 +70223,Australia,2007,Asthma,Respiratory,14.01,2.27,5.59,19-35,Female,971987,86.56,4.16,8.06,Medication,12617.0,Yes,79.61,462.0,1.53,8543.0,0.84,66.94 +70226,Brazil,2019,Leprosy,Respiratory,19.82,2.2,1.44,36-60,Male,472972,97.1,0.51,6.16,Therapy,45100.0,Yes,92.35,4337.0,5.43,26381.0,0.85,85.88 +70237,India,2002,COVID-19,Bacterial,2.97,0.73,5.18,0-18,Female,448047,54.11,2.7,9.26,Vaccination,45398.0,No,81.66,3504.0,9.52,4581.0,0.67,81.61 +70244,Nigeria,2018,Rabies,Bacterial,3.96,2.33,6.42,61+,Other,209575,51.88,4.62,2.07,Surgery,24235.0,No,98.1,1049.0,4.73,6785.0,0.58,48.01 +70248,Argentina,2021,Hepatitis,Infectious,8.74,10.27,6.32,61+,Other,255814,98.96,4.62,3.72,Therapy,13162.0,No,81.6,4872.0,1.19,25208.0,0.86,82.28 +70258,Japan,2003,Hepatitis,Chronic,19.18,2.49,8.96,0-18,Male,174608,69.33,1.51,2.45,Medication,45634.0,Yes,93.55,116.0,2.68,17959.0,0.6,76.18 +70260,Indonesia,2000,Ebola,Infectious,0.34,12.68,4.74,0-18,Female,540693,99.06,3.78,3.1,Medication,48572.0,No,86.99,3279.0,8.18,86892.0,0.79,21.03 +70262,Brazil,2000,Hypertension,Chronic,15.55,6.37,8.12,36-60,Other,391266,81.14,1.63,0.97,Medication,36597.0,Yes,70.41,2858.0,3.84,70335.0,0.86,76.36 +70269,Nigeria,2003,Dengue,Genetic,12.74,8.34,3.44,0-18,Other,83743,83.39,3.04,9.3,Vaccination,36899.0,Yes,93.87,3089.0,9.9,43073.0,0.81,88.41 +70276,Indonesia,2019,HIV/AIDS,Chronic,15.02,14.2,4.79,36-60,Other,984731,76.72,2.49,1.14,Medication,4612.0,No,81.72,1353.0,7.29,52276.0,0.41,44.2 +70282,Japan,2013,COVID-19,Respiratory,15.42,10.01,3.96,19-35,Other,356707,59.67,2.39,5.8,Vaccination,15436.0,No,90.68,2429.0,2.39,46617.0,0.48,63.58 +70292,South Africa,2000,Hepatitis,Neurological,16.65,8.96,7.09,0-18,Female,831452,74.99,2.41,4.04,Therapy,43053.0,No,94.12,4939.0,2.98,33166.0,0.54,47.85 +70294,Canada,2019,Parkinson's Disease,Respiratory,0.39,6.93,2.22,19-35,Other,574469,95.08,2.9,5.03,Surgery,45355.0,No,96.16,2453.0,4.1,48683.0,0.86,53.07 +70296,India,2023,Zika,Bacterial,6.82,12.87,7.29,0-18,Male,783437,88.08,1.92,6.76,Vaccination,19727.0,Yes,68.35,3775.0,9.87,89322.0,0.75,71.64 +70298,Japan,2000,HIV/AIDS,Neurological,2.57,9.6,2.41,61+,Female,990921,86.47,1.72,9.95,Therapy,38371.0,No,82.46,3513.0,8.9,75712.0,0.84,73.03 +70310,China,2008,Ebola,Infectious,13.76,1.61,5.24,61+,Male,805222,87.93,4.88,0.97,Therapy,17577.0,No,63.35,3539.0,4.18,72708.0,0.8,71.66 +70317,Turkey,2009,Leprosy,Cardiovascular,13.51,6.17,5.57,61+,Female,428911,99.77,4.05,0.69,Vaccination,30138.0,No,62.75,179.0,2.38,23745.0,0.45,33.93 +70319,Australia,2004,Polio,Viral,16.12,13.42,1.1,19-35,Other,804763,91.47,4.69,4.25,Vaccination,25799.0,No,84.75,1758.0,0.03,33228.0,0.61,52.33 +70320,France,2010,Parkinson's Disease,Genetic,16.58,12.34,3.11,36-60,Female,597747,71.84,1.94,5.1,Therapy,13639.0,Yes,56.47,800.0,2.54,17875.0,0.52,40.14 +70346,Saudi Arabia,2005,Hypertension,Bacterial,6.54,12.16,3.21,0-18,Male,113722,58.28,2.98,1.6,Vaccination,39776.0,No,89.61,2396.0,2.9,19092.0,0.52,75.89 +70351,Argentina,2015,HIV/AIDS,Autoimmune,7.08,1.28,7.79,36-60,Female,140182,67.31,1.4,7.91,Medication,40392.0,Yes,84.44,311.0,2.75,94661.0,0.85,36.34 +70372,USA,2008,Parkinson's Disease,Genetic,3.85,8.4,1.65,19-35,Male,786633,66.69,2.85,5.15,Surgery,12006.0,No,81.02,4998.0,6.81,78257.0,0.42,76.0 +70380,USA,2020,Rabies,Chronic,11.54,14.0,6.36,19-35,Other,310150,54.43,4.23,7.21,Vaccination,38907.0,Yes,61.23,1680.0,6.72,40885.0,0.5,78.13 +70385,India,2008,Hepatitis,Parasitic,16.16,14.47,2.16,19-35,Male,351638,81.92,4.61,6.5,Vaccination,722.0,No,81.13,2408.0,6.51,73717.0,0.56,31.62 +70391,South Korea,2023,Cancer,Chronic,17.18,14.27,5.77,36-60,Female,707163,83.36,2.95,4.88,Surgery,30980.0,Yes,89.56,1788.0,0.61,13792.0,0.62,46.49 +70392,Turkey,2019,Cancer,Infectious,13.79,12.94,0.62,61+,Male,235391,63.2,2.98,9.9,Medication,42190.0,No,69.89,1882.0,0.85,37928.0,0.9,60.36 +70393,Germany,2022,COVID-19,Chronic,12.06,10.36,8.25,19-35,Other,962742,87.57,2.43,2.58,Medication,38175.0,No,61.0,4548.0,6.91,70346.0,0.84,88.78 +70397,South Africa,2013,Dengue,Bacterial,6.39,3.0,5.3,19-35,Female,709427,90.95,3.04,9.8,Surgery,41759.0,Yes,82.52,1868.0,1.58,58376.0,0.78,49.74 +70406,India,2004,Dengue,Viral,1.93,6.34,5.16,0-18,Male,41036,96.8,2.81,8.81,Vaccination,17892.0,No,69.57,135.0,9.5,87261.0,0.7,68.11 +70407,India,2002,Polio,Respiratory,4.49,9.01,6.11,61+,Other,362648,97.55,0.66,4.53,Medication,37451.0,No,78.65,4998.0,2.2,24321.0,0.53,47.94 +70415,Italy,2020,Leprosy,Bacterial,10.92,13.03,7.96,0-18,Male,831142,72.29,3.52,3.1,Medication,42572.0,No,60.41,3134.0,2.84,96002.0,0.43,77.35 +70417,Saudi Arabia,2004,Cholera,Chronic,15.85,12.54,1.44,36-60,Other,922629,59.02,3.15,7.93,Surgery,17320.0,No,80.73,2789.0,4.67,60483.0,0.54,59.53 +70427,Brazil,2001,Alzheimer's Disease,Genetic,19.74,4.69,7.56,19-35,Male,888947,94.63,4.83,1.76,Medication,8045.0,Yes,55.47,1353.0,4.88,64098.0,0.41,45.51 +70429,South Korea,2003,Diabetes,Infectious,10.38,0.42,3.84,19-35,Other,661452,79.07,1.21,2.45,Vaccination,24313.0,Yes,94.68,4826.0,6.62,17435.0,0.6,84.37 +70430,France,2021,COVID-19,Chronic,19.36,4.89,6.38,19-35,Other,881874,54.27,1.06,7.83,Surgery,38490.0,Yes,53.95,3581.0,0.77,84263.0,0.63,41.41 +70435,Saudi Arabia,2021,Cholera,Bacterial,8.32,1.27,4.17,0-18,Female,417772,85.63,3.67,7.09,Medication,40755.0,Yes,79.66,2159.0,7.76,76442.0,0.64,41.94 +70436,Nigeria,2010,Tuberculosis,Metabolic,16.33,1.37,5.92,36-60,Male,388562,82.52,1.74,6.31,Surgery,20837.0,Yes,67.02,4446.0,7.73,28745.0,0.53,69.69 +70439,China,2008,Asthma,Genetic,4.93,11.11,5.27,61+,Male,690827,72.37,1.18,8.06,Vaccination,7241.0,No,78.6,1401.0,7.05,32731.0,0.65,21.75 +70445,Mexico,2017,HIV/AIDS,Neurological,4.12,0.78,6.61,0-18,Other,25481,87.5,2.56,4.87,Medication,17904.0,No,88.0,930.0,0.93,57912.0,0.75,87.5 +70456,South Africa,2008,Cholera,Cardiovascular,6.88,9.28,7.27,61+,Other,35092,70.4,3.43,8.5,Medication,12459.0,Yes,82.63,2371.0,9.24,95489.0,0.64,75.9 +70463,USA,2005,Diabetes,Chronic,4.97,8.32,1.15,36-60,Male,961951,72.14,4.31,1.73,Surgery,28453.0,No,90.61,2786.0,2.76,29442.0,0.79,25.79 +70465,South Africa,2005,Influenza,Genetic,19.63,1.92,3.24,61+,Female,26753,91.72,4.3,8.48,Surgery,22878.0,No,61.3,4744.0,1.16,30233.0,0.62,59.53 +70466,Italy,2017,Ebola,Autoimmune,8.19,7.75,6.72,19-35,Female,933616,75.39,4.55,0.59,Surgery,6874.0,No,78.07,4556.0,1.72,28069.0,0.81,63.26 +70476,USA,2012,Leprosy,Bacterial,11.71,2.64,5.97,0-18,Female,524433,51.62,4.88,1.9,Surgery,4433.0,Yes,97.94,840.0,1.23,13717.0,0.89,89.88 +70488,South Korea,2003,Hypertension,Autoimmune,8.72,12.85,3.55,19-35,Other,502559,69.31,3.91,4.02,Medication,19107.0,Yes,67.53,4162.0,1.02,78616.0,0.82,74.61 +70490,USA,2016,Cholera,Genetic,18.78,13.14,4.56,36-60,Female,217012,87.41,2.36,7.63,Medication,6414.0,Yes,92.2,3741.0,6.11,12377.0,0.68,62.38 +70492,India,2020,Asthma,Autoimmune,11.25,4.29,2.23,36-60,Other,447237,52.69,0.65,0.61,Surgery,38662.0,No,78.12,2510.0,7.21,96433.0,0.55,72.26 +70493,USA,2018,Alzheimer's Disease,Metabolic,8.63,13.89,6.34,19-35,Female,324541,51.25,1.07,8.96,Medication,8918.0,Yes,80.74,3737.0,2.81,93993.0,0.73,79.44 +70498,Japan,2013,Hepatitis,Cardiovascular,6.84,6.23,8.6,0-18,Female,205032,60.0,3.63,8.19,Therapy,6726.0,No,92.72,877.0,8.51,51225.0,0.58,27.62 +70516,USA,2004,HIV/AIDS,Respiratory,4.28,12.38,4.37,0-18,Other,397588,76.25,0.88,6.87,Therapy,16856.0,Yes,58.06,2497.0,2.79,95383.0,0.8,56.86 +70523,China,2013,Zika,Infectious,2.33,10.71,4.32,19-35,Female,891453,94.61,4.65,5.12,Surgery,47703.0,Yes,82.31,3523.0,5.83,72340.0,0.54,84.65 +70525,Italy,2013,Zika,Respiratory,4.83,11.32,9.19,0-18,Other,140779,87.97,3.06,6.99,Therapy,29854.0,Yes,60.55,4753.0,9.96,78208.0,0.42,72.87 +70527,Germany,2016,Zika,Chronic,13.19,2.43,7.35,36-60,Other,509731,90.27,2.98,2.0,Vaccination,7954.0,No,55.14,2100.0,6.26,82605.0,0.41,33.02 +70529,Japan,2013,Polio,Genetic,13.82,7.09,7.25,19-35,Female,289034,98.62,0.52,5.33,Surgery,9638.0,Yes,60.8,1892.0,1.33,51675.0,0.58,38.23 +70530,China,2024,Alzheimer's Disease,Chronic,12.99,8.06,0.22,0-18,Female,64541,55.73,3.71,2.7,Therapy,23566.0,No,74.06,4338.0,8.48,50341.0,0.41,43.73 +70542,Brazil,2013,Influenza,Respiratory,1.37,9.26,7.83,19-35,Male,843383,83.17,3.07,9.67,Therapy,11527.0,No,94.25,3789.0,9.52,99453.0,0.45,59.3 +70545,Australia,2006,Malaria,Respiratory,13.61,13.15,5.86,0-18,Male,499303,80.25,4.15,4.47,Medication,41804.0,Yes,78.13,1884.0,1.21,82167.0,0.74,30.53 +70548,South Korea,2022,Measles,Parasitic,17.13,7.53,7.12,0-18,Male,78055,98.5,1.61,5.46,Therapy,2089.0,Yes,69.24,3287.0,5.41,79807.0,0.42,63.43 +70551,Turkey,2015,Diabetes,Autoimmune,2.28,12.12,9.68,61+,Male,629819,92.36,2.39,5.69,Medication,18492.0,Yes,93.86,3692.0,4.29,8158.0,0.88,32.67 +70559,UK,2016,Tuberculosis,Metabolic,3.17,2.61,7.18,36-60,Female,596844,91.7,2.58,8.61,Vaccination,1192.0,Yes,91.34,640.0,4.92,45332.0,0.69,51.96 +70561,Saudi Arabia,2004,Polio,Chronic,7.26,3.5,0.72,36-60,Other,201965,95.21,2.25,9.41,Therapy,2119.0,No,61.75,2564.0,9.93,74188.0,0.8,63.12 +70564,France,2022,Malaria,Viral,6.28,1.07,9.3,61+,Other,112641,72.39,4.12,5.15,Surgery,16745.0,Yes,93.89,3525.0,9.4,40175.0,0.53,74.02 +70584,India,2021,Measles,Respiratory,5.11,11.57,7.34,19-35,Female,418242,58.44,4.52,5.56,Therapy,40323.0,No,55.56,4782.0,2.22,26310.0,0.5,33.13 +70585,Nigeria,2012,Rabies,Bacterial,8.87,4.0,9.85,36-60,Female,27220,95.65,1.16,5.76,Surgery,49082.0,No,66.6,2150.0,1.75,74211.0,0.89,83.63 +70588,China,2017,Zika,Neurological,7.81,10.15,9.49,36-60,Other,727463,82.86,2.95,9.56,Surgery,40244.0,No,85.22,218.0,6.9,92701.0,0.54,34.56 +70595,Canada,2016,Influenza,Viral,7.72,4.86,8.77,36-60,Other,957994,54.64,4.3,4.17,Medication,14922.0,No,94.41,4508.0,3.54,34276.0,0.51,52.58 +70608,Indonesia,2008,Diabetes,Neurological,1.25,10.14,1.24,0-18,Female,45625,97.17,3.43,5.36,Therapy,35834.0,No,62.09,2525.0,5.65,74774.0,0.57,68.9 +70609,South Korea,2024,Malaria,Infectious,18.95,5.28,3.66,36-60,Other,296183,53.74,2.75,2.42,Vaccination,39103.0,Yes,72.32,3584.0,0.12,13816.0,0.8,30.26 +70611,France,2022,Cholera,Genetic,2.19,6.97,1.46,19-35,Other,642982,75.69,4.97,4.52,Medication,24516.0,Yes,89.81,3403.0,1.76,4917.0,0.88,38.62 +70613,Australia,2009,Leprosy,Autoimmune,16.45,7.94,9.42,36-60,Male,622084,83.32,1.21,8.72,Medication,11448.0,No,62.33,3083.0,5.18,95334.0,0.47,66.99 +70614,Nigeria,2004,Hepatitis,Neurological,1.43,6.69,7.63,61+,Male,799434,74.11,3.85,8.72,Vaccination,39742.0,Yes,60.95,934.0,8.34,3487.0,0.76,54.96 +70630,Canada,2010,Influenza,Autoimmune,4.21,4.48,4.15,61+,Male,638121,86.5,1.55,2.12,Surgery,20877.0,Yes,96.13,3847.0,0.75,7373.0,0.46,22.72 +70631,UK,2017,Asthma,Metabolic,4.5,7.62,8.2,19-35,Female,792210,81.4,1.92,8.0,Medication,34104.0,No,80.28,3659.0,7.61,87897.0,0.43,62.83 +70636,Japan,2008,Malaria,Autoimmune,1.94,14.27,2.89,0-18,Other,196475,59.43,1.08,6.39,Therapy,23926.0,Yes,95.87,4258.0,5.65,59098.0,0.83,55.0 +70637,Australia,2004,Cholera,Bacterial,9.7,7.6,3.3,36-60,Other,474234,77.97,1.4,9.93,Medication,12126.0,No,72.97,2886.0,6.77,65177.0,0.87,54.47 +70640,South Africa,2023,Alzheimer's Disease,Chronic,17.51,2.95,2.07,19-35,Male,546459,72.15,4.22,3.06,Medication,15368.0,No,53.73,2834.0,4.51,44448.0,0.45,89.61 +70641,Italy,2006,Malaria,Autoimmune,19.31,8.82,9.72,36-60,Male,105154,64.1,1.33,8.67,Therapy,19324.0,Yes,50.25,5000.0,6.42,45904.0,0.84,34.22 +70653,UK,2013,Influenza,Metabolic,1.25,3.7,4.96,36-60,Other,673473,68.99,2.48,2.81,Vaccination,19673.0,Yes,77.98,4430.0,0.92,82652.0,0.56,78.73 +70654,Mexico,2005,Ebola,Neurological,4.15,3.62,8.16,36-60,Male,359000,93.61,4.03,4.52,Medication,21528.0,Yes,63.03,2680.0,8.4,61057.0,0.73,70.8 +70655,UK,2017,Ebola,Autoimmune,7.33,10.69,8.66,61+,Male,644086,62.78,4.09,6.75,Vaccination,32873.0,Yes,56.32,3463.0,8.03,26079.0,0.83,36.5 +70661,Italy,2020,Influenza,Genetic,10.46,13.98,9.09,61+,Other,537229,87.82,3.17,0.88,Therapy,25845.0,Yes,77.02,285.0,2.27,4193.0,0.88,79.73 +70664,South Africa,2000,Cancer,Viral,13.28,5.25,0.91,36-60,Other,719329,57.88,0.72,9.17,Therapy,25777.0,Yes,88.83,2275.0,7.03,76965.0,0.52,84.21 +70667,South Korea,2006,Tuberculosis,Cardiovascular,4.64,6.45,0.54,19-35,Other,321309,81.47,2.49,6.99,Medication,41412.0,Yes,73.59,251.0,4.91,69707.0,0.64,88.01 +70669,Russia,2021,COVID-19,Chronic,7.23,3.63,6.05,0-18,Male,504950,95.78,4.04,7.65,Therapy,43878.0,Yes,81.88,3133.0,9.81,79176.0,0.59,77.77 +70670,Argentina,2020,Leprosy,Respiratory,19.61,3.7,7.84,0-18,Female,8009,86.33,0.94,3.93,Surgery,49025.0,Yes,88.58,855.0,1.02,22691.0,0.55,55.19 +70673,India,2000,Tuberculosis,Bacterial,19.15,9.53,9.37,61+,Male,261485,99.29,4.38,7.89,Therapy,42302.0,No,69.27,1802.0,0.97,40228.0,0.85,40.19 +70677,Turkey,2018,Malaria,Cardiovascular,1.72,13.23,8.29,0-18,Male,794419,77.42,3.93,10.0,Medication,11984.0,Yes,80.62,3726.0,7.34,45479.0,0.41,54.09 +70684,Saudi Arabia,2010,Measles,Chronic,1.68,11.28,2.58,36-60,Other,403186,52.51,0.61,0.66,Vaccination,356.0,No,82.75,3358.0,6.84,24367.0,0.81,81.22 +70691,France,2018,Influenza,Respiratory,1.12,8.13,4.62,61+,Female,192185,83.12,4.91,0.98,Medication,20621.0,Yes,95.36,1245.0,5.36,13553.0,0.64,57.91 +70699,Canada,2010,HIV/AIDS,Metabolic,16.34,1.21,6.49,61+,Female,329351,94.78,0.83,9.54,Vaccination,40899.0,No,80.9,1984.0,5.77,8409.0,0.67,53.56 +70703,India,2009,Tuberculosis,Autoimmune,2.73,3.23,6.31,36-60,Other,273512,79.2,2.19,3.85,Surgery,31412.0,No,89.12,1527.0,1.11,96420.0,0.78,83.58 +70707,Canada,2000,Malaria,Viral,16.91,3.8,4.21,0-18,Other,962610,58.35,1.68,9.55,Therapy,33843.0,No,78.25,2243.0,7.61,52724.0,0.77,78.31 +70709,Turkey,2014,Ebola,Cardiovascular,8.64,14.73,1.6,0-18,Other,956252,94.92,3.25,5.52,Medication,25716.0,No,91.15,4581.0,5.87,82602.0,0.65,46.73 +70713,Saudi Arabia,2006,Rabies,Parasitic,14.62,2.98,5.39,19-35,Male,892278,80.42,5.0,3.53,Medication,838.0,Yes,97.08,2272.0,0.22,88113.0,0.7,53.27 +70720,Indonesia,2012,Zika,Infectious,15.68,2.04,8.67,0-18,Other,837865,60.84,2.46,2.17,Therapy,9587.0,Yes,89.89,3380.0,3.51,31926.0,0.52,52.71 +70727,Argentina,2010,COVID-19,Bacterial,6.66,7.79,7.32,61+,Male,179045,58.44,0.79,9.13,Therapy,15795.0,No,97.45,2118.0,0.43,44898.0,0.45,61.7 +70730,Nigeria,2022,Hypertension,Metabolic,7.36,10.58,1.83,36-60,Male,573973,70.73,2.96,2.04,Therapy,47350.0,No,97.39,4400.0,2.98,33479.0,0.67,67.84 +70736,China,2014,Hypertension,Parasitic,8.73,13.86,2.05,19-35,Female,983656,64.25,4.34,2.65,Medication,2746.0,No,57.04,873.0,1.73,61908.0,0.85,52.71 +70740,Turkey,2015,Polio,Cardiovascular,11.01,6.79,5.0,61+,Female,200386,78.55,0.62,4.97,Vaccination,25709.0,Yes,57.65,4697.0,9.91,46518.0,0.51,33.87 +70742,Turkey,2013,Ebola,Neurological,1.56,11.06,2.82,36-60,Male,727701,64.95,3.83,7.96,Medication,27905.0,Yes,91.1,9.0,9.11,28780.0,0.76,69.28 +70750,Nigeria,2012,Rabies,Respiratory,17.5,2.48,4.35,36-60,Female,304458,82.31,1.99,1.71,Surgery,2669.0,No,81.99,2150.0,9.07,58556.0,0.58,72.67 +70753,China,2002,Polio,Neurological,1.14,6.4,3.43,36-60,Other,638172,56.47,3.8,7.47,Medication,33777.0,Yes,91.79,4744.0,2.73,74733.0,0.66,72.99 +70762,China,2020,COVID-19,Neurological,14.79,9.99,8.89,61+,Male,725558,83.28,3.57,8.29,Medication,30466.0,Yes,96.18,1190.0,7.3,81142.0,0.45,35.71 +70763,Russia,2013,Asthma,Parasitic,9.88,14.61,3.27,61+,Other,137635,60.93,0.9,6.98,Vaccination,46323.0,Yes,54.54,1726.0,4.19,82146.0,0.86,37.46 +70769,Germany,2005,Rabies,Chronic,7.08,8.38,9.75,0-18,Male,389293,61.37,1.16,7.07,Vaccination,29291.0,No,77.38,3804.0,0.15,42622.0,0.79,42.27 +70771,Australia,2016,COVID-19,Infectious,8.86,7.11,7.11,0-18,Female,138261,63.59,4.93,2.43,Surgery,26824.0,No,77.27,1060.0,7.94,78812.0,0.69,46.1 +70781,Canada,2019,Hypertension,Genetic,15.69,2.85,6.81,36-60,Male,158511,77.13,1.43,8.31,Vaccination,47691.0,Yes,89.89,1122.0,4.21,8548.0,0.6,22.84 +70784,Germany,2008,Measles,Infectious,14.94,1.55,8.4,36-60,Other,857431,93.69,1.85,6.5,Therapy,2919.0,Yes,54.91,1557.0,4.47,630.0,0.81,70.56 +70786,Japan,2022,Zika,Bacterial,0.31,14.94,5.94,19-35,Female,290011,89.22,1.55,9.55,Medication,22425.0,No,94.5,4420.0,3.26,71249.0,0.64,29.43 +70787,Italy,2019,Measles,Cardiovascular,15.4,5.0,7.72,36-60,Other,798279,96.38,4.1,1.57,Therapy,21492.0,No,61.38,335.0,3.2,46100.0,0.78,54.27 +70788,Japan,2011,Dengue,Metabolic,19.87,7.9,8.04,36-60,Male,687679,91.67,1.24,5.19,Surgery,49979.0,Yes,67.27,603.0,3.4,18794.0,0.75,70.4 +70789,Argentina,2005,HIV/AIDS,Respiratory,8.95,7.75,1.5,36-60,Other,138865,84.96,0.58,8.59,Surgery,35352.0,No,76.72,2577.0,8.75,95657.0,0.62,81.07 +70805,Italy,2003,Cancer,Genetic,2.23,9.22,8.81,61+,Other,356912,71.09,1.94,1.0,Surgery,32419.0,Yes,95.5,4790.0,7.27,721.0,0.6,85.13 +70806,India,2001,Polio,Chronic,15.96,5.44,6.34,19-35,Other,339435,94.52,3.94,9.29,Medication,40968.0,No,90.15,287.0,6.75,44614.0,0.69,40.55 +70811,Nigeria,2008,Parkinson's Disease,Cardiovascular,15.43,14.72,4.9,61+,Female,447514,65.88,4.0,1.18,Surgery,46688.0,No,61.36,4523.0,1.38,35893.0,0.41,86.07 +70814,Argentina,2022,Parkinson's Disease,Parasitic,12.15,2.49,7.71,0-18,Male,898805,51.1,2.11,7.42,Surgery,25208.0,No,66.86,3205.0,3.74,16183.0,0.79,89.98 +70818,Brazil,2022,Polio,Respiratory,0.25,4.32,9.61,0-18,Other,548692,85.91,1.35,4.28,Medication,35997.0,Yes,83.63,4854.0,9.96,33242.0,0.86,53.42 +70821,Italy,2012,Leprosy,Genetic,11.5,2.14,5.11,19-35,Female,185012,79.47,2.57,0.77,Surgery,15792.0,No,84.93,3799.0,5.8,86220.0,0.87,51.7 +70823,Nigeria,2018,Dengue,Bacterial,19.35,12.18,8.89,61+,Female,577058,85.48,3.74,3.38,Therapy,38282.0,No,84.95,2131.0,8.21,23031.0,0.49,21.15 +70828,UK,2021,Ebola,Neurological,13.26,7.65,9.62,19-35,Male,214770,86.44,1.12,4.65,Vaccination,26022.0,No,83.83,2767.0,4.56,27165.0,0.44,39.86 +70831,South Korea,2022,Ebola,Genetic,8.61,14.67,2.72,36-60,Male,762454,68.81,4.46,7.03,Medication,14103.0,Yes,82.86,4654.0,6.87,6590.0,0.54,63.22 +70843,USA,2001,Diabetes,Infectious,5.58,3.66,3.78,19-35,Female,555629,60.85,0.62,0.82,Medication,21703.0,No,61.03,4600.0,0.03,9848.0,0.72,66.11 +70849,Canada,2005,Hypertension,Metabolic,1.3,12.29,9.14,19-35,Male,960873,85.54,3.98,8.25,Surgery,49230.0,Yes,89.57,1930.0,6.6,5054.0,0.89,50.93 +70852,Italy,2018,Hypertension,Parasitic,1.66,0.5,2.63,36-60,Other,110170,80.02,3.04,8.3,Therapy,24615.0,Yes,50.72,1590.0,0.54,53236.0,0.51,72.57 +70866,Indonesia,2001,Cancer,Bacterial,18.93,7.09,6.67,19-35,Male,920030,98.88,4.02,2.36,Surgery,28381.0,Yes,83.68,4878.0,8.37,19914.0,0.73,35.32 +70870,Japan,2017,HIV/AIDS,Respiratory,19.43,11.54,7.16,19-35,Other,251819,72.76,0.55,8.67,Medication,48272.0,No,56.33,919.0,9.25,38334.0,0.57,39.32 +70871,South Africa,2003,Influenza,Autoimmune,19.63,13.75,1.28,19-35,Other,700170,84.33,0.88,1.37,Therapy,2675.0,No,81.05,2188.0,9.4,43442.0,0.46,81.3 +70873,Italy,2007,HIV/AIDS,Parasitic,19.61,7.57,7.93,19-35,Other,609306,80.79,2.05,2.19,Vaccination,18509.0,Yes,72.45,1603.0,6.98,59363.0,0.86,73.42 +70877,South Africa,2008,Polio,Neurological,5.04,8.88,0.67,0-18,Male,300191,52.22,4.3,5.85,Medication,39324.0,Yes,97.02,2794.0,3.25,22903.0,0.86,33.76 +70879,Germany,2014,Measles,Viral,15.3,13.15,0.53,19-35,Other,718404,72.49,1.82,5.48,Therapy,37374.0,No,91.23,3418.0,1.98,31791.0,0.58,25.68 +70881,UK,2018,Zika,Genetic,11.9,11.7,8.06,19-35,Male,795475,56.77,3.4,3.91,Therapy,10900.0,No,78.79,3520.0,5.06,18600.0,0.81,58.52 +70888,Mexico,2001,Leprosy,Chronic,11.76,2.29,2.93,19-35,Other,68581,66.95,3.01,4.7,Medication,16945.0,No,85.2,581.0,4.67,97419.0,0.63,50.74 +70893,USA,2004,Measles,Metabolic,6.56,10.99,2.72,61+,Other,695345,99.6,3.93,0.85,Vaccination,13915.0,Yes,90.52,4878.0,6.92,4059.0,0.59,54.95 +70894,Japan,2010,Cholera,Cardiovascular,12.15,3.16,9.03,61+,Male,976627,70.92,4.69,1.02,Therapy,37039.0,No,96.99,4803.0,5.0,8054.0,0.43,85.46 +70895,Mexico,2005,Tuberculosis,Infectious,17.45,11.72,3.92,19-35,Male,471785,51.25,0.93,7.52,Vaccination,15414.0,No,69.61,3842.0,1.59,54475.0,0.82,50.04 +70899,Brazil,2014,Cholera,Bacterial,16.65,6.07,1.31,19-35,Male,169418,94.23,2.51,9.91,Therapy,15968.0,Yes,58.81,2797.0,0.15,65209.0,0.5,28.41 +70903,Russia,2019,Cancer,Infectious,5.13,0.28,7.0,61+,Male,514460,62.75,3.34,0.84,Surgery,13541.0,No,88.08,4158.0,7.03,78210.0,0.4,72.47 +70921,Mexico,2020,Malaria,Viral,17.39,9.92,2.37,36-60,Female,627058,81.47,1.32,3.95,Surgery,48590.0,No,69.35,511.0,5.36,55278.0,0.81,68.82 +70927,Argentina,2023,Tuberculosis,Bacterial,9.67,11.41,7.08,36-60,Other,746628,86.82,4.57,7.13,Therapy,24691.0,Yes,90.03,3547.0,4.48,71528.0,0.61,85.32 +70931,Australia,2002,Ebola,Cardiovascular,12.49,7.24,7.63,0-18,Other,28067,66.77,4.03,4.18,Vaccination,10317.0,Yes,61.87,2676.0,1.27,46302.0,0.56,88.91 +70934,South Africa,2011,Ebola,Respiratory,2.17,10.62,4.77,61+,Other,343983,55.47,0.76,4.57,Medication,48796.0,Yes,54.57,4742.0,8.12,76584.0,0.41,79.21 +70935,Italy,2011,Hypertension,Metabolic,4.64,2.57,6.46,19-35,Male,627213,88.86,3.88,8.98,Therapy,22461.0,No,68.83,3595.0,9.42,23412.0,0.6,68.2 +70938,Japan,2012,Leprosy,Infectious,18.51,3.75,6.44,19-35,Other,387945,78.6,2.43,1.17,Therapy,24629.0,No,76.43,3516.0,5.05,92390.0,0.53,24.34 +70955,Canada,2020,Rabies,Parasitic,3.28,6.09,3.61,36-60,Other,672664,79.75,2.4,5.8,Medication,3720.0,No,93.75,1148.0,2.45,51164.0,0.71,31.69 +70957,South Korea,2001,Measles,Metabolic,2.99,7.76,6.65,36-60,Female,948397,82.63,4.52,4.54,Surgery,33319.0,Yes,70.46,2549.0,9.0,7479.0,0.9,37.14 +70958,China,2003,Asthma,Neurological,15.64,13.1,4.11,19-35,Other,181244,56.74,3.4,5.61,Therapy,28493.0,Yes,92.71,4657.0,6.01,9714.0,0.62,24.94 +70959,India,2009,Malaria,Genetic,0.64,11.67,6.77,61+,Male,89867,91.68,2.8,2.65,Vaccination,36747.0,No,95.26,1727.0,6.86,51766.0,0.54,56.91 +70964,Canada,2008,HIV/AIDS,Cardiovascular,15.66,5.55,7.52,0-18,Male,170461,72.86,3.49,7.24,Medication,42220.0,No,85.99,4245.0,2.5,52904.0,0.72,30.12 +70971,Turkey,2007,Cancer,Cardiovascular,5.64,6.68,3.37,61+,Male,252832,90.84,3.32,5.65,Medication,23461.0,Yes,71.37,4755.0,8.27,6469.0,0.79,67.43 +70979,Saudi Arabia,2023,Polio,Infectious,14.12,8.56,8.93,61+,Male,801987,74.28,2.38,1.0,Vaccination,9888.0,Yes,89.61,4514.0,2.84,27307.0,0.63,66.0 +70983,Mexico,2011,Rabies,Metabolic,18.71,2.14,9.55,0-18,Male,347586,95.74,2.53,9.53,Vaccination,18108.0,No,53.65,2376.0,9.35,14509.0,0.48,54.3 +70986,USA,2005,Polio,Cardiovascular,11.32,5.95,2.38,61+,Other,173334,69.78,4.19,9.1,Medication,2844.0,No,63.03,4882.0,6.24,13161.0,0.84,33.64 +70988,France,2022,Parkinson's Disease,Parasitic,8.48,10.34,5.18,0-18,Male,136653,59.78,0.64,3.55,Therapy,21179.0,No,51.73,307.0,6.66,45363.0,0.55,44.52 +70989,Turkey,2014,Rabies,Genetic,19.38,6.95,3.13,36-60,Male,214332,61.64,0.54,3.36,Therapy,21952.0,No,75.62,237.0,3.95,78769.0,0.89,73.45 +70992,Russia,2005,COVID-19,Genetic,4.53,3.83,1.2,0-18,Male,570028,62.3,3.94,3.05,Surgery,38107.0,No,96.91,2995.0,8.64,78270.0,0.75,25.05 +70995,South Africa,2005,Measles,Parasitic,2.8,14.05,7.2,61+,Male,123409,51.62,4.69,4.17,Therapy,28808.0,No,71.65,2916.0,7.98,58287.0,0.88,85.32 +70997,Saudi Arabia,2000,Polio,Cardiovascular,17.92,10.15,9.1,0-18,Other,894877,51.28,3.78,7.35,Therapy,16568.0,Yes,75.05,3013.0,1.42,15478.0,0.89,74.61 +70999,Indonesia,2001,Rabies,Bacterial,15.53,6.71,4.54,36-60,Female,361333,60.43,2.86,9.27,Medication,38561.0,No,76.46,2175.0,4.48,53321.0,0.8,26.89 +71000,Australia,2005,Zika,Neurological,4.84,14.04,6.31,0-18,Female,5006,52.31,1.2,5.06,Therapy,5679.0,Yes,52.1,2631.0,1.75,60568.0,0.5,26.41 +71007,Brazil,2017,Dengue,Genetic,11.41,4.03,2.54,19-35,Female,577845,58.46,3.25,9.52,Therapy,40861.0,No,58.0,4184.0,9.42,22944.0,0.59,85.09 +71011,Brazil,2015,Asthma,Chronic,15.45,0.89,7.35,61+,Female,867964,65.34,2.78,8.69,Vaccination,28177.0,No,81.11,2967.0,4.41,87899.0,0.72,63.13 +71024,Australia,2017,Cholera,Cardiovascular,13.74,2.08,3.42,19-35,Male,912907,60.86,3.99,6.51,Vaccination,36510.0,Yes,70.44,1726.0,0.43,54957.0,0.49,89.61 +71025,Indonesia,2013,Malaria,Respiratory,17.3,5.88,3.14,0-18,Female,631857,53.57,3.48,4.53,Therapy,1865.0,Yes,91.93,2582.0,0.37,13366.0,0.54,76.72 +71032,Saudi Arabia,2021,HIV/AIDS,Bacterial,12.6,10.01,0.63,19-35,Other,839451,60.44,3.49,5.3,Medication,37955.0,No,65.63,768.0,6.51,22281.0,0.76,86.51 +71038,Russia,2006,Malaria,Chronic,2.16,1.99,8.98,19-35,Female,883798,78.47,3.7,8.32,Surgery,16236.0,Yes,78.65,3497.0,4.81,20473.0,0.76,25.12 +71046,France,2016,Polio,Genetic,0.47,6.3,8.86,61+,Other,813741,55.56,1.58,4.59,Medication,32802.0,Yes,67.84,4420.0,0.3,8358.0,0.64,42.2 +71048,USA,2016,COVID-19,Autoimmune,14.21,14.85,2.88,19-35,Male,80070,83.76,2.83,5.14,Therapy,33686.0,Yes,96.85,1027.0,4.98,57847.0,0.44,59.21 +71053,Argentina,2021,COVID-19,Viral,8.36,1.81,7.23,36-60,Male,693140,79.04,3.48,5.84,Surgery,9557.0,No,93.16,2138.0,7.42,82158.0,0.84,68.3 +71055,Argentina,2007,Hypertension,Metabolic,6.21,3.68,5.25,0-18,Male,154037,61.85,1.43,4.89,Therapy,4633.0,Yes,75.17,4179.0,0.46,33351.0,0.58,47.01 +71062,UK,2003,Measles,Autoimmune,3.5,9.61,2.48,61+,Male,295916,52.82,2.01,3.64,Therapy,5832.0,Yes,97.22,4869.0,5.57,5631.0,0.52,48.81 +71065,South Korea,2001,Tuberculosis,Parasitic,7.92,13.37,3.16,0-18,Female,595282,65.59,2.21,5.42,Vaccination,40790.0,Yes,63.16,1150.0,2.91,61938.0,0.77,34.23 +71074,Russia,2016,Malaria,Respiratory,0.36,2.79,7.66,0-18,Other,290043,97.5,0.74,3.1,Vaccination,26911.0,No,98.59,716.0,1.08,22647.0,0.56,44.27 +71088,Indonesia,2022,Asthma,Bacterial,1.66,2.09,5.4,61+,Other,333648,81.33,0.84,3.56,Medication,7043.0,No,68.4,1745.0,0.27,56110.0,0.84,41.55 +71102,Mexico,2001,Zika,Metabolic,17.49,12.77,9.69,36-60,Male,7784,52.1,3.39,9.65,Vaccination,20049.0,No,74.48,1099.0,1.71,99646.0,0.82,87.29 +71106,Italy,2016,Measles,Genetic,1.14,7.0,5.42,0-18,Other,951864,50.2,3.57,7.37,Therapy,40078.0,Yes,84.47,741.0,2.66,51159.0,0.8,69.66 +71107,Saudi Arabia,2007,Zika,Neurological,2.67,0.83,4.87,0-18,Female,805578,53.13,4.21,4.42,Medication,5025.0,No,70.72,4822.0,4.75,94649.0,0.72,77.58 +71109,UK,2018,Alzheimer's Disease,Viral,15.56,1.35,9.71,0-18,Female,352064,52.67,1.32,9.33,Therapy,7637.0,Yes,81.85,2695.0,4.5,90974.0,0.47,32.48 +71111,South Korea,2007,Asthma,Autoimmune,17.34,9.03,2.3,0-18,Female,395830,60.86,2.85,8.26,Medication,2902.0,No,71.6,4739.0,0.24,30960.0,0.58,33.81 +71114,South Africa,2018,Leprosy,Cardiovascular,18.31,3.44,2.76,61+,Male,588118,56.51,1.98,8.0,Vaccination,7379.0,Yes,77.49,327.0,3.78,2386.0,0.89,36.57 +71120,Brazil,2004,Tuberculosis,Chronic,17.27,7.19,1.1,19-35,Male,923638,63.75,3.98,7.17,Vaccination,31059.0,No,59.59,2043.0,3.82,67210.0,0.87,81.21 +71121,Mexico,2023,Leprosy,Bacterial,1.6,5.05,5.91,36-60,Other,812659,76.42,1.64,7.81,Medication,20448.0,Yes,76.07,4502.0,3.68,56920.0,0.7,79.76 +71125,Australia,2018,Cholera,Neurological,5.41,6.0,4.59,0-18,Other,224068,52.51,4.29,5.69,Medication,37060.0,Yes,52.59,4258.0,3.73,61522.0,0.44,84.92 +71128,India,2013,Parkinson's Disease,Autoimmune,6.02,10.54,6.33,19-35,Male,17035,67.63,1.33,6.83,Surgery,21755.0,Yes,69.44,4768.0,6.03,51893.0,0.89,34.73 +71143,South Africa,2024,Diabetes,Respiratory,1.81,2.45,3.76,36-60,Male,378461,56.67,3.27,3.56,Vaccination,14384.0,Yes,60.52,4470.0,5.03,61268.0,0.73,35.12 +71155,Canada,2018,Hepatitis,Viral,8.59,8.83,4.25,19-35,Male,630870,77.03,4.19,7.24,Therapy,7582.0,Yes,67.22,111.0,2.58,2770.0,0.56,79.1 +71156,Australia,2019,Zika,Autoimmune,2.61,8.24,8.6,0-18,Female,944390,78.09,2.81,9.72,Surgery,43549.0,Yes,53.88,3185.0,1.28,18396.0,0.58,64.49 +71160,France,2005,Asthma,Respiratory,16.08,5.12,0.77,0-18,Female,97103,74.78,2.48,5.16,Therapy,17364.0,No,94.31,3218.0,5.55,13344.0,0.5,57.41 +71169,Indonesia,2022,Diabetes,Neurological,8.42,12.52,2.37,0-18,Other,800438,52.9,3.75,1.0,Surgery,20862.0,Yes,93.81,12.0,0.18,56181.0,0.73,31.94 +71172,UK,2021,Hypertension,Respiratory,1.55,10.85,0.82,36-60,Male,296652,70.13,3.2,0.58,Vaccination,15753.0,Yes,86.5,1975.0,8.27,81834.0,0.72,87.85 +71173,China,2001,Hypertension,Autoimmune,15.89,14.91,8.43,0-18,Female,196950,99.92,0.56,5.01,Therapy,13668.0,Yes,72.21,1776.0,1.35,30827.0,0.45,48.23 +71175,Japan,2005,Cholera,Respiratory,8.08,8.11,9.19,19-35,Male,598557,92.9,3.8,6.84,Surgery,18162.0,Yes,57.08,293.0,7.63,93594.0,0.41,39.7 +71179,Nigeria,2002,Asthma,Neurological,3.62,8.43,0.59,36-60,Other,633161,68.44,1.5,3.65,Medication,40125.0,No,79.12,1018.0,5.81,88286.0,0.59,47.61 +71188,Argentina,2016,Cholera,Metabolic,14.7,3.27,2.8,0-18,Male,409132,66.16,4.55,5.71,Medication,32962.0,No,68.86,4967.0,7.99,76152.0,0.53,50.06 +71192,Brazil,2017,Dengue,Metabolic,13.01,1.17,9.01,36-60,Male,936162,63.96,0.98,2.95,Medication,25422.0,No,85.81,2278.0,1.07,30448.0,0.48,35.88 +71195,Russia,2008,COVID-19,Chronic,14.28,8.09,6.33,61+,Female,656224,97.68,4.88,4.39,Surgery,41598.0,Yes,97.17,67.0,2.23,73728.0,0.42,32.2 +71203,Saudi Arabia,2009,Alzheimer's Disease,Infectious,1.9,4.0,6.26,61+,Female,864028,99.66,0.78,7.77,Therapy,18688.0,No,52.59,2425.0,6.34,44527.0,0.73,75.95 +71206,USA,2021,Leprosy,Viral,18.93,9.52,5.19,0-18,Female,909220,93.85,2.89,1.24,Therapy,13390.0,Yes,70.29,3054.0,4.37,48487.0,0.64,42.31 +71210,USA,2003,Hypertension,Genetic,4.35,6.32,2.35,19-35,Male,149705,60.26,3.06,7.06,Medication,36883.0,No,53.67,2462.0,3.98,7990.0,0.89,43.58 +71215,South Africa,2014,Leprosy,Metabolic,5.24,9.64,8.77,61+,Other,109623,60.27,3.27,2.68,Surgery,17676.0,Yes,56.59,4018.0,3.81,67240.0,0.45,77.15 +71217,India,2000,Influenza,Cardiovascular,10.34,2.52,5.62,61+,Male,456948,57.79,3.49,7.95,Medication,13553.0,No,57.73,724.0,0.24,40194.0,0.84,61.1 +71218,Brazil,2004,Cholera,Neurological,10.59,10.34,6.25,19-35,Other,395901,67.8,3.17,2.1,Vaccination,23008.0,Yes,51.0,1058.0,0.35,93376.0,0.78,34.92 +71228,South Africa,2019,COVID-19,Genetic,5.51,13.24,0.48,19-35,Female,591210,86.71,2.07,9.87,Medication,27895.0,Yes,56.73,2499.0,1.72,64494.0,0.48,45.42 +71238,Argentina,2003,Alzheimer's Disease,Respiratory,19.6,7.15,7.06,19-35,Other,966657,73.4,4.81,3.31,Vaccination,26567.0,Yes,80.08,3485.0,5.63,16924.0,0.77,80.03 +71240,France,2009,Malaria,Parasitic,14.2,5.25,8.27,0-18,Male,721134,91.91,1.79,4.37,Surgery,5520.0,Yes,98.39,86.0,3.25,94718.0,0.7,72.38 +71243,Saudi Arabia,2016,Polio,Neurological,15.98,14.6,4.04,36-60,Female,251462,65.43,3.51,4.92,Therapy,6028.0,No,72.07,401.0,5.02,14623.0,0.84,61.36 +71245,Argentina,2005,Zika,Metabolic,11.39,11.75,1.69,61+,Male,411925,56.5,3.04,3.36,Therapy,20692.0,No,72.99,3012.0,3.85,45877.0,0.72,21.85 +71249,South Korea,2024,Hepatitis,Respiratory,13.28,4.67,0.1,61+,Other,163167,66.41,1.17,6.28,Therapy,25560.0,No,94.89,788.0,9.34,51514.0,0.63,69.25 +71250,Brazil,2002,Dengue,Metabolic,12.25,5.5,7.95,36-60,Female,175048,52.33,3.42,7.54,Vaccination,27388.0,Yes,51.2,4699.0,6.34,72409.0,0.72,80.43 +71252,Germany,2006,Hepatitis,Genetic,2.02,13.03,6.48,36-60,Male,895009,89.94,2.67,3.07,Surgery,10624.0,Yes,87.05,3659.0,5.0,73488.0,0.86,62.6 +71254,UK,2018,Zika,Cardiovascular,4.02,5.33,4.72,19-35,Male,137740,90.22,1.22,9.18,Therapy,5751.0,Yes,73.94,3944.0,5.06,35905.0,0.75,83.98 +71268,Argentina,2018,Cholera,Parasitic,13.65,5.18,3.75,0-18,Female,196604,79.83,3.38,1.25,Vaccination,35866.0,No,52.74,4860.0,3.68,96130.0,0.77,53.1 +71270,Indonesia,2005,Asthma,Viral,9.44,10.14,0.59,36-60,Other,957801,77.84,2.82,4.4,Medication,16341.0,No,91.2,3151.0,5.98,24536.0,0.69,51.34 +71272,Germany,2009,Alzheimer's Disease,Chronic,0.28,2.22,8.57,36-60,Female,873949,50.62,0.84,8.95,Therapy,43643.0,Yes,86.16,4469.0,8.58,35885.0,0.61,43.44 +71274,USA,2014,Hepatitis,Respiratory,5.83,10.02,3.68,0-18,Other,840697,69.93,2.06,9.33,Therapy,8259.0,Yes,57.91,3456.0,0.74,6932.0,0.67,62.44 +71277,Nigeria,2014,Cholera,Cardiovascular,19.46,2.24,3.22,36-60,Male,35209,54.79,4.06,8.66,Therapy,6582.0,Yes,95.51,1003.0,1.04,92438.0,0.49,28.43 +71283,Mexico,2024,COVID-19,Neurological,18.39,1.61,4.82,61+,Female,145152,75.97,1.46,7.11,Medication,48990.0,Yes,53.26,2565.0,9.92,55729.0,0.59,52.24 +71290,Mexico,2003,Polio,Infectious,4.73,2.42,9.5,19-35,Male,909495,75.1,0.53,2.07,Therapy,33792.0,Yes,92.51,699.0,9.13,47957.0,0.52,31.45 +71294,France,2009,Zika,Chronic,14.07,6.23,3.59,19-35,Female,342073,59.99,2.44,5.92,Surgery,45007.0,Yes,72.27,2691.0,8.01,75314.0,0.42,62.5 +71295,Turkey,2014,Diabetes,Chronic,3.73,7.77,4.12,36-60,Other,714260,58.81,1.5,8.97,Medication,7584.0,Yes,88.38,4985.0,5.09,55702.0,0.89,53.1 +71301,Russia,2005,Cancer,Cardiovascular,5.29,9.27,5.29,19-35,Other,140868,86.01,3.6,7.5,Therapy,1492.0,Yes,66.2,2089.0,7.93,37605.0,0.87,74.5 +71305,Mexico,2009,Cholera,Parasitic,6.74,9.32,4.55,0-18,Other,268471,58.64,3.9,8.48,Vaccination,41091.0,No,53.82,1731.0,4.52,94926.0,0.43,82.65 +71306,Indonesia,2007,Leprosy,Cardiovascular,4.1,0.61,3.91,61+,Other,300449,64.64,2.93,2.99,Surgery,37024.0,No,78.46,2048.0,8.42,62070.0,0.71,60.96 +71307,Mexico,2001,Ebola,Genetic,6.68,5.5,8.24,19-35,Other,353351,72.3,0.68,6.68,Therapy,40145.0,No,83.98,4674.0,2.69,88890.0,0.48,45.3 +71309,Australia,2012,Zika,Infectious,5.42,11.25,7.86,0-18,Male,950336,70.84,2.84,9.21,Medication,12209.0,Yes,75.9,3803.0,0.78,90010.0,0.49,39.99 +71314,Mexico,2020,Malaria,Chronic,1.7,0.36,6.11,19-35,Other,626806,54.77,1.92,3.9,Surgery,9315.0,No,84.57,2823.0,8.31,87580.0,0.54,84.31 +71320,Italy,2002,COVID-19,Parasitic,2.29,8.08,9.75,36-60,Female,611957,83.28,0.62,7.33,Therapy,6146.0,No,78.45,2569.0,9.06,37805.0,0.68,66.62 +71321,Australia,2012,HIV/AIDS,Cardiovascular,8.86,6.11,9.55,36-60,Male,261625,51.13,1.12,5.62,Medication,36187.0,Yes,93.73,2168.0,8.4,71892.0,0.49,86.45 +71329,Australia,2007,Hepatitis,Bacterial,10.09,10.26,4.4,0-18,Male,206331,54.08,4.08,1.47,Surgery,11481.0,Yes,60.48,4692.0,8.93,62404.0,0.51,68.8 +71332,South Africa,2022,Hypertension,Autoimmune,6.34,10.68,3.55,0-18,Other,118296,96.23,1.6,3.6,Vaccination,37058.0,No,76.69,4841.0,9.57,4339.0,0.47,28.84 +71334,Argentina,2022,Alzheimer's Disease,Viral,16.85,12.08,4.2,36-60,Other,225778,75.65,4.6,7.74,Therapy,23740.0,Yes,87.15,4992.0,5.55,9702.0,0.82,88.98 +71340,Germany,2008,Ebola,Metabolic,10.92,10.97,4.16,61+,Other,929746,87.31,2.92,5.02,Therapy,2768.0,Yes,50.02,4094.0,1.07,11297.0,0.58,25.21 +71347,USA,2015,Rabies,Genetic,16.49,7.43,9.01,19-35,Female,983156,62.62,3.8,2.0,Vaccination,11542.0,No,70.2,2755.0,3.26,13340.0,0.57,62.34 +71348,Canada,2001,HIV/AIDS,Bacterial,7.92,8.08,6.27,0-18,Female,831207,86.98,1.91,5.46,Therapy,9114.0,Yes,74.19,341.0,8.17,85132.0,0.63,22.73 +71349,Germany,2007,Malaria,Bacterial,9.06,1.25,7.9,36-60,Other,547796,71.84,4.15,4.82,Medication,11140.0,Yes,59.15,2211.0,2.85,61483.0,0.5,53.98 +71358,South Korea,2004,Dengue,Autoimmune,14.16,6.44,5.24,0-18,Male,660449,75.7,1.24,9.7,Medication,14071.0,No,75.18,473.0,6.3,18999.0,0.43,44.57 +71369,Japan,2000,Dengue,Parasitic,12.1,0.97,4.87,0-18,Other,573419,53.9,1.38,8.72,Therapy,44777.0,Yes,53.19,698.0,8.97,98119.0,0.51,41.4 +71371,Italy,2011,Cancer,Cardiovascular,13.49,1.78,1.19,0-18,Female,751099,74.69,1.74,9.29,Therapy,6630.0,Yes,55.24,606.0,3.15,67545.0,0.88,61.15 +71372,Germany,2013,COVID-19,Chronic,7.41,13.24,8.04,19-35,Other,51913,76.3,2.11,2.37,Medication,17416.0,Yes,97.69,3969.0,6.93,28033.0,0.6,57.52 +71377,Mexico,2009,Influenza,Neurological,15.71,0.86,7.17,19-35,Male,793147,68.79,1.21,2.64,Therapy,31906.0,Yes,52.51,3969.0,5.52,40366.0,0.45,74.63 +71401,Italy,2024,COVID-19,Autoimmune,1.37,2.68,8.65,0-18,Other,748205,50.51,2.51,5.03,Surgery,47553.0,Yes,82.7,2192.0,1.48,96908.0,0.58,77.21 +71405,India,2023,Hepatitis,Metabolic,1.72,12.49,5.09,36-60,Female,90462,65.05,2.65,4.97,Vaccination,30755.0,No,54.32,3016.0,5.28,67043.0,0.6,60.22 +71411,Canada,2007,Asthma,Infectious,18.1,12.41,1.2,36-60,Other,27535,83.37,3.07,5.19,Therapy,32607.0,No,93.88,2701.0,6.87,22836.0,0.52,53.17 +71425,China,2014,Alzheimer's Disease,Respiratory,7.55,0.86,4.26,61+,Female,215484,94.03,4.47,1.31,Vaccination,5327.0,Yes,78.11,3651.0,0.48,53655.0,0.86,29.53 +71426,Turkey,2003,Dengue,Genetic,8.3,12.95,4.73,0-18,Other,861533,51.82,3.44,9.18,Therapy,30952.0,No,86.55,2867.0,5.34,76499.0,0.47,71.02 +71431,Russia,2020,Cancer,Parasitic,6.79,3.14,3.66,36-60,Other,18923,54.32,2.36,4.28,Therapy,33693.0,No,84.74,1096.0,0.08,7301.0,0.87,49.03 +71432,Turkey,2009,Rabies,Neurological,16.53,3.28,5.78,61+,Other,68350,88.19,3.83,5.45,Surgery,37034.0,Yes,97.58,4593.0,0.79,29253.0,0.62,26.06 +71442,Nigeria,2002,Rabies,Chronic,12.33,12.18,7.93,61+,Male,982851,83.18,3.51,2.07,Medication,48217.0,No,92.77,2746.0,4.8,8275.0,0.52,25.37 +71452,Argentina,2024,Hypertension,Cardiovascular,10.9,11.8,6.8,61+,Other,242131,80.58,1.34,4.24,Therapy,40358.0,Yes,84.87,1769.0,1.2,35294.0,0.68,67.47 +71456,UK,2020,Ebola,Parasitic,0.85,7.07,6.73,19-35,Other,719283,80.94,1.55,9.9,Medication,1129.0,No,68.06,792.0,1.08,90848.0,0.46,43.87 +71458,Australia,2001,Alzheimer's Disease,Respiratory,15.84,11.27,1.47,36-60,Female,427138,89.29,4.54,4.56,Therapy,27015.0,Yes,94.44,1738.0,9.93,74936.0,0.53,50.81 +71491,Italy,2015,Zika,Bacterial,0.12,2.41,7.11,36-60,Male,646871,50.21,1.72,3.08,Medication,29645.0,No,68.74,3346.0,5.29,32923.0,0.48,54.19 +71496,Russia,2007,Measles,Viral,15.48,13.89,3.66,61+,Male,324015,84.94,1.37,7.68,Surgery,25666.0,No,87.21,2903.0,3.44,43794.0,0.78,48.06 +71506,China,2002,Hepatitis,Autoimmune,17.05,0.31,8.29,61+,Other,832390,72.86,2.68,6.84,Vaccination,27806.0,Yes,95.48,4583.0,4.54,1694.0,0.7,88.59 +71518,Mexico,2023,Dengue,Infectious,10.53,8.08,6.78,0-18,Female,685541,100.0,1.84,8.35,Medication,19656.0,Yes,61.57,978.0,8.49,25066.0,0.85,27.08 +71521,Nigeria,2002,Cancer,Autoimmune,12.66,1.42,0.56,36-60,Other,581367,95.62,1.86,3.89,Vaccination,45734.0,No,62.4,3910.0,5.11,45633.0,0.71,35.83 +71522,Mexico,2003,Parkinson's Disease,Autoimmune,18.46,0.46,0.18,36-60,Female,736101,87.91,1.2,6.13,Surgery,2866.0,No,81.13,1904.0,2.23,84177.0,0.74,44.62 +71525,Australia,2014,Tuberculosis,Genetic,15.54,7.6,0.44,19-35,Female,933668,83.16,2.43,2.48,Medication,35133.0,Yes,58.71,938.0,4.72,47734.0,0.47,50.48 +71527,China,2008,Leprosy,Neurological,7.06,13.1,2.54,36-60,Male,106994,92.91,0.86,9.19,Vaccination,17599.0,Yes,75.07,4707.0,2.11,34651.0,0.53,75.77 +71529,China,2010,Asthma,Metabolic,8.41,0.27,7.43,36-60,Male,832181,67.73,1.92,9.03,Therapy,39253.0,Yes,98.57,1565.0,3.62,42883.0,0.67,72.57 +71532,Turkey,2001,Rabies,Viral,9.34,12.97,2.08,61+,Female,522357,79.89,1.13,5.19,Vaccination,26436.0,Yes,53.29,3645.0,3.39,4635.0,0.41,57.62 +71535,France,2014,Diabetes,Chronic,14.9,14.75,5.6,36-60,Other,191518,53.46,2.41,0.9,Therapy,45888.0,Yes,86.17,1092.0,3.15,10019.0,0.4,54.23 +71544,Brazil,2006,Ebola,Cardiovascular,3.05,5.2,1.14,61+,Female,267271,54.33,4.27,1.63,Therapy,4394.0,No,55.19,1483.0,0.15,39089.0,0.44,63.62 +71549,Germany,2015,Cancer,Metabolic,9.27,8.3,4.01,19-35,Other,766668,62.18,4.31,2.47,Vaccination,6696.0,No,53.7,835.0,4.42,91570.0,0.47,68.7 +71550,Germany,2001,Rabies,Chronic,12.23,2.87,4.83,0-18,Female,487467,69.01,0.98,1.63,Surgery,22641.0,Yes,66.6,3996.0,4.66,58512.0,0.75,36.57 +71559,Japan,2023,Hepatitis,Genetic,18.99,12.07,5.4,61+,Female,319697,74.75,4.53,2.68,Surgery,8930.0,Yes,90.83,819.0,0.9,82289.0,0.45,73.31 +71562,France,2000,Influenza,Respiratory,2.35,3.18,9.31,0-18,Male,719475,68.21,1.29,8.0,Surgery,11760.0,Yes,95.77,4163.0,1.14,73753.0,0.58,35.75 +71565,France,2004,Measles,Autoimmune,3.73,9.68,6.99,61+,Other,247434,57.55,3.98,6.62,Surgery,8027.0,No,88.14,2378.0,7.74,92225.0,0.74,76.09 +71566,Brazil,2017,Malaria,Neurological,2.82,3.2,5.95,61+,Female,819666,85.12,0.84,6.12,Surgery,36471.0,No,56.13,4642.0,5.45,21671.0,0.55,47.02 +71569,Canada,2016,Diabetes,Viral,17.23,9.53,3.55,61+,Other,109493,96.07,2.76,9.35,Medication,19916.0,No,63.92,912.0,3.93,67082.0,0.76,49.92 +71576,Nigeria,2012,Polio,Neurological,8.8,5.77,6.94,61+,Male,328126,73.73,3.12,4.68,Therapy,49559.0,Yes,87.91,4110.0,3.29,99236.0,0.58,49.94 +71578,India,2004,Influenza,Parasitic,3.18,10.63,7.15,61+,Male,281646,95.51,2.84,8.85,Surgery,9523.0,Yes,58.88,3125.0,3.73,47146.0,0.4,80.82 +71579,Japan,2019,Dengue,Bacterial,9.79,6.79,0.28,0-18,Female,118386,51.3,3.61,4.88,Surgery,39045.0,Yes,85.51,1198.0,5.87,56016.0,0.79,76.16 +71580,Saudi Arabia,2006,Hypertension,Viral,4.39,3.25,7.35,19-35,Other,50483,89.07,3.76,2.05,Surgery,44607.0,No,93.35,2542.0,6.51,30346.0,0.65,73.08 +71581,Japan,2006,Dengue,Infectious,6.86,8.04,7.85,36-60,Male,27910,91.86,1.07,2.86,Therapy,38326.0,Yes,85.27,61.0,0.77,12967.0,0.69,43.59 +71586,France,2015,Rabies,Metabolic,6.54,0.11,2.49,19-35,Male,883353,93.68,4.21,4.5,Vaccination,5799.0,Yes,56.2,2237.0,3.13,92484.0,0.45,24.54 +71596,Japan,2015,Parkinson's Disease,Parasitic,11.87,4.6,4.13,61+,Female,224719,97.59,2.85,4.38,Therapy,37236.0,No,50.6,82.0,5.28,85322.0,0.84,72.44 +71599,Argentina,2006,Malaria,Bacterial,16.02,12.58,1.43,19-35,Female,15131,85.46,2.55,6.16,Medication,2312.0,No,88.82,1473.0,0.39,91263.0,0.76,79.54 +71611,Australia,2024,Diabetes,Viral,1.26,11.31,2.25,19-35,Female,490080,77.74,1.57,1.06,Therapy,46230.0,No,94.9,472.0,8.2,32721.0,0.78,80.89 +71612,Canada,2018,COVID-19,Respiratory,18.07,6.69,6.17,0-18,Other,595012,73.53,1.88,1.59,Therapy,17639.0,Yes,58.64,3282.0,5.78,43695.0,0.6,59.51 +71613,Argentina,2012,Hypertension,Viral,4.24,14.79,1.54,19-35,Female,53340,90.51,1.49,6.05,Vaccination,1845.0,No,55.04,4128.0,5.33,4735.0,0.53,69.42 +71619,Saudi Arabia,2022,Polio,Chronic,13.46,11.04,2.09,61+,Other,203330,98.52,0.51,5.85,Vaccination,33696.0,Yes,57.24,2971.0,4.68,71356.0,0.79,43.04 +71623,France,2024,Diabetes,Genetic,7.34,0.89,0.93,0-18,Other,87117,86.78,3.88,3.37,Surgery,36604.0,No,53.8,21.0,1.25,72004.0,0.57,50.35 +71630,India,2000,Hypertension,Neurological,12.48,2.07,1.32,0-18,Male,615035,93.94,3.36,5.0,Surgery,39951.0,Yes,66.07,192.0,4.45,92766.0,0.52,33.84 +71638,France,2008,Diabetes,Neurological,4.15,3.03,4.82,19-35,Male,393163,68.31,3.95,1.01,Therapy,26113.0,No,88.81,1245.0,8.39,48192.0,0.62,54.23 +71640,Indonesia,2019,Asthma,Metabolic,5.65,14.75,4.01,19-35,Other,705530,87.24,4.93,8.46,Medication,47252.0,No,68.15,4513.0,8.95,89923.0,0.52,41.17 +71647,Argentina,2023,Malaria,Cardiovascular,14.8,6.42,5.25,0-18,Male,717198,61.18,4.62,8.85,Therapy,39320.0,Yes,87.11,524.0,9.85,46846.0,0.43,60.33 +71649,Brazil,2003,Zika,Genetic,13.66,14.07,0.89,0-18,Female,998148,64.02,1.4,1.28,Therapy,42942.0,Yes,63.38,3002.0,6.82,70336.0,0.55,63.52 +71651,China,2015,Zika,Respiratory,5.47,5.29,5.78,0-18,Male,491385,52.93,4.54,6.69,Therapy,10174.0,Yes,51.53,1574.0,7.35,41316.0,0.84,68.95 +71660,China,2019,Diabetes,Respiratory,2.08,12.87,2.62,61+,Female,36660,58.15,2.27,0.97,Therapy,6392.0,Yes,57.95,1248.0,7.58,88850.0,0.68,42.11 +71661,UK,2021,HIV/AIDS,Viral,2.91,6.82,8.63,19-35,Male,572756,86.52,3.3,3.77,Surgery,9313.0,No,97.3,729.0,3.21,91918.0,0.54,45.72 +71669,USA,2013,Parkinson's Disease,Respiratory,1.47,14.67,6.06,19-35,Other,642535,88.71,3.69,8.18,Therapy,23327.0,No,60.18,2666.0,6.87,99160.0,0.78,68.68 +71671,Japan,2001,Leprosy,Infectious,12.25,11.78,6.27,36-60,Female,710241,75.34,1.68,7.52,Vaccination,25111.0,Yes,94.36,3406.0,0.32,21145.0,0.84,34.37 +71688,Japan,2004,Leprosy,Autoimmune,15.5,10.89,5.35,19-35,Female,857197,55.33,1.82,9.59,Therapy,14950.0,No,80.99,424.0,7.09,21258.0,0.59,87.3 +71695,India,2010,COVID-19,Infectious,2.91,13.23,2.48,0-18,Male,917623,73.84,3.31,9.66,Surgery,28736.0,Yes,89.71,1765.0,9.36,70347.0,0.48,56.66 +71696,Saudi Arabia,2008,Parkinson's Disease,Genetic,6.44,0.85,1.19,19-35,Male,909705,65.85,3.91,0.66,Therapy,4794.0,Yes,69.16,863.0,2.92,35536.0,0.74,42.79 +71697,Indonesia,2010,Rabies,Neurological,7.13,11.44,4.55,61+,Female,391167,78.66,2.45,7.98,Therapy,45799.0,Yes,95.16,4122.0,9.55,20889.0,0.57,38.23 +71698,Argentina,2016,Ebola,Parasitic,11.85,14.15,0.31,36-60,Male,623667,70.88,4.59,5.63,Therapy,34924.0,No,87.98,1384.0,6.76,84326.0,0.53,52.96 +71704,Germany,2001,Rabies,Neurological,15.77,2.51,5.25,19-35,Other,851764,78.41,2.55,7.8,Therapy,44392.0,No,52.01,2167.0,4.31,58218.0,0.63,28.79 +71705,UK,2010,Diabetes,Autoimmune,8.6,7.63,7.01,61+,Other,365049,54.15,3.02,4.49,Vaccination,6571.0,Yes,87.06,4040.0,4.02,76331.0,0.51,49.51 +71708,South Africa,2007,Tuberculosis,Genetic,12.09,4.77,9.76,0-18,Female,138135,96.33,0.68,9.17,Surgery,22189.0,Yes,72.54,1801.0,4.98,62214.0,0.5,84.99 +71709,Brazil,2003,Rabies,Respiratory,8.16,2.66,7.91,61+,Male,388245,63.77,1.46,5.93,Vaccination,13095.0,Yes,90.53,1296.0,8.46,45481.0,0.64,44.04 +71713,Brazil,2004,Measles,Chronic,12.71,9.27,6.96,19-35,Male,760181,50.46,0.95,5.89,Vaccination,15165.0,Yes,63.82,4868.0,9.54,73393.0,0.84,43.9 +71715,Turkey,2019,Ebola,Cardiovascular,5.71,7.69,9.64,61+,Other,470630,87.76,1.87,1.59,Surgery,39610.0,No,72.14,4243.0,4.63,6317.0,0.61,63.3 +71719,Indonesia,2004,Malaria,Respiratory,3.13,8.23,1.46,19-35,Female,390790,59.9,4.55,4.34,Surgery,49984.0,No,80.05,3396.0,8.33,7411.0,0.5,21.62 +71720,Indonesia,2008,Malaria,Infectious,11.04,13.77,0.19,36-60,Other,534677,88.02,4.06,4.55,Medication,39391.0,Yes,91.15,958.0,9.52,1166.0,0.79,69.98 +71721,Nigeria,2007,Tuberculosis,Infectious,5.47,14.71,8.66,36-60,Female,753824,51.81,2.84,6.06,Medication,5216.0,Yes,68.9,1260.0,7.11,85326.0,0.9,69.4 +71723,Indonesia,2013,Cholera,Cardiovascular,8.18,10.13,6.51,36-60,Male,64395,96.49,1.38,4.13,Vaccination,14791.0,No,97.03,4544.0,9.47,60418.0,0.44,78.58 +71724,Australia,2018,Influenza,Viral,3.53,9.51,2.23,36-60,Male,19134,73.47,4.52,8.87,Vaccination,10335.0,No,52.35,4491.0,1.34,51879.0,0.68,73.78 +71741,Australia,2003,Influenza,Infectious,13.83,6.68,7.45,19-35,Female,776439,68.73,3.89,6.42,Medication,18589.0,Yes,79.76,923.0,4.87,5665.0,0.71,20.38 +71747,India,2000,Ebola,Cardiovascular,7.95,6.93,1.31,61+,Female,936695,50.44,1.04,5.14,Medication,11316.0,No,91.82,4476.0,9.54,51964.0,0.72,83.03 +71760,Canada,2002,Rabies,Parasitic,16.18,11.93,2.38,19-35,Female,527262,62.26,4.12,3.05,Medication,36521.0,No,82.05,1459.0,0.56,65987.0,0.54,44.25 +71767,Nigeria,2018,Leprosy,Parasitic,17.9,11.93,3.15,19-35,Female,460388,84.76,2.49,2.14,Vaccination,15489.0,No,79.52,4961.0,3.37,80830.0,0.74,24.61 +71768,Saudi Arabia,2003,Cholera,Parasitic,15.11,11.64,0.99,0-18,Female,802419,64.54,1.37,4.64,Surgery,21877.0,Yes,51.35,2030.0,2.69,42986.0,0.81,33.98 +71769,Brazil,2002,Zika,Respiratory,17.78,6.3,8.91,19-35,Female,137570,50.2,1.64,6.2,Medication,12727.0,No,82.66,4801.0,3.94,41658.0,0.42,81.54 +71780,China,2010,Zika,Parasitic,12.61,0.49,9.72,36-60,Female,544743,74.72,2.09,6.58,Therapy,41584.0,No,67.13,4862.0,2.84,3235.0,0.68,53.37 +71783,China,2003,Hypertension,Chronic,7.63,3.97,1.86,0-18,Female,403265,93.88,4.2,1.94,Vaccination,22874.0,No,96.93,1916.0,0.3,12612.0,0.44,51.26 +71789,South Africa,2009,Parkinson's Disease,Bacterial,11.28,9.22,7.67,36-60,Male,582503,96.84,0.86,6.41,Surgery,45370.0,No,66.1,1793.0,1.43,89823.0,0.79,87.97 +71790,South Africa,2009,Ebola,Neurological,1.17,13.21,4.43,0-18,Female,549095,74.01,2.21,1.15,Therapy,28890.0,Yes,82.74,2727.0,8.78,42227.0,0.88,53.43 +71801,Canada,2003,Leprosy,Chronic,1.0,15.0,1.66,0-18,Male,914736,98.59,4.78,9.87,Surgery,40009.0,No,78.1,932.0,5.95,13291.0,0.87,75.56 +71806,Italy,2018,Zika,Metabolic,5.47,12.33,2.66,61+,Male,57086,61.58,1.37,4.92,Vaccination,33202.0,No,66.39,4272.0,7.96,16544.0,0.67,81.42 +71810,Mexico,2000,Cholera,Metabolic,13.77,14.93,3.35,36-60,Male,914468,81.46,1.15,3.39,Medication,8808.0,No,61.49,1481.0,6.81,90252.0,0.73,39.43 +71811,South Africa,2006,Asthma,Metabolic,16.0,11.92,7.66,19-35,Male,333288,87.47,1.92,9.19,Vaccination,46796.0,No,52.39,1664.0,7.47,24268.0,0.55,84.82 +71812,South Africa,2019,Leprosy,Neurological,5.95,7.24,3.93,61+,Male,52128,68.16,4.55,1.47,Vaccination,14973.0,No,78.64,27.0,6.65,64079.0,0.46,35.27 +71815,Brazil,2009,Hepatitis,Metabolic,19.31,13.92,6.32,0-18,Female,702039,90.06,0.6,7.92,Vaccination,15749.0,No,85.33,4961.0,8.92,57010.0,0.49,23.12 +71817,Nigeria,2004,COVID-19,Neurological,19.58,8.17,5.14,0-18,Other,124124,76.69,2.64,2.82,Medication,13406.0,No,66.84,934.0,5.06,97029.0,0.82,56.08 +71818,Saudi Arabia,2022,Influenza,Chronic,5.7,3.62,6.62,36-60,Female,751421,84.04,2.06,3.45,Surgery,46563.0,Yes,92.32,4940.0,6.51,79436.0,0.9,68.75 +71826,Turkey,2009,Parkinson's Disease,Viral,0.6,14.37,3.75,0-18,Other,242952,70.25,2.19,8.97,Medication,41160.0,No,75.8,1591.0,3.85,76791.0,0.54,28.15 +71827,Australia,2009,Measles,Metabolic,7.04,7.1,5.82,61+,Other,951167,60.81,0.67,1.82,Medication,13400.0,Yes,69.16,3940.0,2.22,25973.0,0.72,28.6 +71828,UK,2024,COVID-19,Cardiovascular,4.97,7.23,5.7,19-35,Male,134259,51.89,4.48,8.43,Medication,19874.0,Yes,80.13,4526.0,0.91,74971.0,0.84,67.41 +71831,Germany,2009,Asthma,Neurological,9.85,6.18,4.41,61+,Female,87764,82.36,4.12,2.82,Medication,22301.0,Yes,97.66,4099.0,1.97,74946.0,0.74,65.27 +71832,Saudi Arabia,2020,Asthma,Cardiovascular,7.21,5.38,7.55,36-60,Other,821897,60.14,1.51,3.23,Medication,6814.0,Yes,93.07,3040.0,9.0,13413.0,0.43,22.49 +71837,USA,2017,HIV/AIDS,Cardiovascular,14.7,8.73,9.76,0-18,Other,113357,72.4,3.67,2.94,Therapy,25126.0,Yes,86.87,1940.0,2.39,3934.0,0.49,76.55 +71839,India,2009,Measles,Metabolic,6.44,9.92,6.97,0-18,Female,584379,71.16,1.68,0.88,Therapy,29665.0,Yes,62.47,2233.0,4.21,74718.0,0.78,70.33 +71843,Saudi Arabia,2014,Asthma,Cardiovascular,9.12,13.56,8.55,0-18,Male,107320,70.12,2.48,7.69,Therapy,43375.0,No,87.92,3704.0,4.04,73859.0,0.84,78.5 +71845,Germany,2013,Rabies,Viral,3.32,5.91,8.07,36-60,Other,531560,74.0,3.12,6.38,Therapy,11842.0,No,77.69,1485.0,4.4,63568.0,0.48,66.1 +71849,Argentina,2024,Parkinson's Disease,Parasitic,13.41,9.22,8.25,61+,Other,601423,59.38,3.87,8.47,Medication,4554.0,Yes,95.93,2016.0,2.05,29606.0,0.5,85.34 +71854,Brazil,2001,Tuberculosis,Parasitic,8.15,13.96,3.4,0-18,Male,875654,90.1,0.5,2.26,Medication,19863.0,No,54.26,4511.0,2.4,59794.0,0.65,23.27 +71862,Japan,2008,Tuberculosis,Neurological,19.66,9.58,4.59,36-60,Female,573641,82.44,2.99,2.76,Vaccination,40264.0,Yes,60.14,4064.0,8.8,87731.0,0.69,62.55 +71865,Russia,2009,COVID-19,Genetic,7.78,4.29,3.53,36-60,Other,97059,71.66,3.85,8.26,Surgery,33053.0,No,67.33,3891.0,6.96,36912.0,0.85,22.94 +71868,Japan,2021,Malaria,Genetic,12.63,4.6,0.88,61+,Other,324796,78.51,2.15,6.92,Medication,46799.0,Yes,58.68,1176.0,8.8,74357.0,0.89,84.63 +71871,South Africa,2024,Cholera,Bacterial,10.87,10.95,5.41,61+,Male,348242,94.72,4.59,7.13,Medication,10036.0,No,62.99,2790.0,6.2,81449.0,0.5,55.06 +71875,Canada,2019,Tuberculosis,Infectious,3.8,1.23,8.44,0-18,Other,276607,60.86,1.08,6.84,Vaccination,41281.0,Yes,54.79,308.0,6.77,21035.0,0.74,30.47 +71878,UK,2001,Zika,Neurological,14.33,2.46,3.93,0-18,Other,893183,70.02,4.68,3.6,Vaccination,33959.0,No,51.26,2722.0,6.12,57104.0,0.78,24.51 +71879,France,2019,Alzheimer's Disease,Parasitic,7.6,3.71,5.86,0-18,Male,969392,53.92,1.97,4.72,Surgery,45687.0,Yes,67.59,514.0,3.05,47104.0,0.89,82.82 +71881,UK,2014,Dengue,Autoimmune,7.51,1.33,8.73,0-18,Other,563249,83.06,3.6,9.24,Surgery,3343.0,No,69.82,3326.0,2.57,6243.0,0.53,84.46 +71889,Argentina,2022,Dengue,Respiratory,14.42,12.95,2.91,19-35,Other,342937,76.3,3.29,0.99,Vaccination,11183.0,No,55.89,885.0,6.16,20149.0,0.78,78.08 +71892,Saudi Arabia,2010,Leprosy,Cardiovascular,2.86,4.29,0.81,0-18,Other,382305,85.55,4.97,5.9,Surgery,33418.0,No,65.52,4391.0,5.97,46034.0,0.8,39.26 +71894,France,2008,Dengue,Infectious,11.78,0.18,8.52,19-35,Male,624908,62.39,3.79,6.39,Therapy,17968.0,Yes,74.99,1214.0,7.71,70587.0,0.48,30.32 +71896,Canada,2018,Ebola,Neurological,6.01,2.79,9.52,19-35,Female,442732,68.69,3.99,3.35,Therapy,9300.0,No,93.82,3052.0,1.38,5187.0,0.65,20.84 +71897,Italy,2017,Asthma,Bacterial,2.73,10.08,9.39,61+,Male,689097,58.75,0.97,5.42,Surgery,12155.0,Yes,50.21,2646.0,0.07,10832.0,0.79,73.77 +71901,Argentina,2014,Dengue,Respiratory,1.94,7.25,4.58,36-60,Female,826018,78.17,4.55,6.83,Therapy,22255.0,No,68.59,2719.0,3.3,14120.0,0.82,40.35 +71918,Argentina,2013,COVID-19,Genetic,14.6,12.06,2.45,36-60,Other,787492,96.61,3.81,1.78,Vaccination,49597.0,No,56.18,4044.0,4.52,59164.0,0.57,89.5 +71921,Mexico,2003,Alzheimer's Disease,Respiratory,12.02,12.37,3.22,0-18,Female,487575,68.34,2.91,3.16,Surgery,30180.0,Yes,84.02,3580.0,7.46,39859.0,0.63,48.22 +71923,Mexico,2006,HIV/AIDS,Metabolic,17.0,5.56,4.37,0-18,Other,83856,51.67,1.15,3.82,Therapy,28360.0,Yes,82.01,3607.0,3.68,39209.0,0.5,43.45 +71926,Japan,2019,Tuberculosis,Bacterial,11.97,9.24,4.43,0-18,Other,659635,93.69,4.97,3.54,Vaccination,11852.0,Yes,50.88,3067.0,0.2,59291.0,0.52,66.37 +71927,China,2024,Hepatitis,Genetic,17.75,8.16,1.85,61+,Male,963854,50.04,2.55,5.38,Surgery,23769.0,Yes,79.17,1259.0,8.95,16931.0,0.68,24.96 +71939,South Africa,2022,Leprosy,Autoimmune,14.33,11.57,8.3,19-35,Female,293786,68.87,0.65,3.1,Therapy,48922.0,Yes,73.54,4754.0,4.8,39239.0,0.79,80.7 +71946,Turkey,2004,HIV/AIDS,Metabolic,15.33,4.94,2.75,36-60,Other,142280,70.1,4.98,2.29,Medication,32019.0,No,62.72,150.0,4.13,44359.0,0.74,22.6 +71953,Turkey,2012,Ebola,Metabolic,3.65,3.83,1.82,19-35,Male,546110,72.21,3.76,8.6,Vaccination,11749.0,No,53.42,4800.0,0.36,80612.0,0.77,47.99 +71959,South Korea,2001,HIV/AIDS,Respiratory,17.05,11.83,8.25,19-35,Male,178790,70.39,4.58,3.99,Surgery,45033.0,Yes,81.9,4934.0,2.02,36516.0,0.79,81.86 +71972,UK,2012,Cancer,Bacterial,15.03,6.6,7.8,0-18,Male,325587,76.67,3.78,4.12,Surgery,45879.0,Yes,98.87,583.0,4.8,58091.0,0.63,82.43 +71973,China,2014,Leprosy,Parasitic,4.21,8.25,9.62,36-60,Other,434874,51.38,3.99,1.58,Medication,17730.0,Yes,81.83,2965.0,1.9,95140.0,0.68,69.4 +71974,South Africa,2013,Cancer,Neurological,14.2,4.87,2.84,0-18,Male,151116,90.3,0.53,2.49,Medication,10357.0,Yes,80.14,286.0,6.99,50860.0,0.75,26.67 +71981,China,2004,Asthma,Bacterial,18.82,1.84,2.81,19-35,Male,297050,79.71,4.58,2.79,Surgery,48543.0,Yes,59.73,4913.0,6.08,92672.0,0.48,65.03 +72007,South Africa,2013,Measles,Respiratory,11.89,14.11,9.97,19-35,Other,181108,56.37,3.61,1.59,Therapy,31379.0,Yes,90.1,2008.0,3.75,49050.0,0.75,32.96 +72009,South Africa,2022,Influenza,Parasitic,17.17,1.57,7.64,0-18,Male,860837,65.88,1.75,1.4,Medication,2369.0,No,77.67,3737.0,9.93,95163.0,0.48,47.66 +72012,France,2005,Influenza,Infectious,2.47,11.4,8.29,61+,Other,264250,67.5,2.22,6.47,Surgery,2802.0,No,89.54,559.0,1.79,60740.0,0.41,66.18 +72014,Canada,2012,Hypertension,Metabolic,5.98,2.84,5.42,0-18,Other,346915,88.2,4.64,9.77,Medication,35581.0,Yes,88.58,2243.0,8.31,61692.0,0.42,22.39 +72015,Saudi Arabia,2021,Influenza,Chronic,5.4,3.29,6.37,36-60,Male,410294,83.3,2.08,5.17,Therapy,15663.0,No,57.66,4945.0,2.7,25977.0,0.59,23.23 +72019,Turkey,2008,Zika,Autoimmune,4.77,4.63,7.39,19-35,Female,244678,69.18,3.9,7.96,Therapy,23091.0,No,56.84,2568.0,7.12,75192.0,0.89,53.22 +72026,Japan,2005,Polio,Cardiovascular,1.8,3.18,1.42,61+,Female,887391,73.72,1.97,2.25,Medication,4812.0,No,70.7,3780.0,1.37,56995.0,0.53,52.9 +72032,Russia,2002,Ebola,Metabolic,12.15,13.15,7.59,19-35,Male,968548,53.15,0.59,6.52,Surgery,17495.0,No,89.66,3133.0,9.98,40838.0,0.86,80.83 +72033,China,2015,Malaria,Bacterial,5.02,10.91,7.76,19-35,Male,60144,81.8,1.26,6.55,Medication,14879.0,No,62.68,2839.0,8.45,4489.0,0.85,87.6 +72039,UK,2009,HIV/AIDS,Metabolic,15.89,1.32,1.59,61+,Male,497040,70.31,3.12,1.21,Medication,36351.0,Yes,70.74,4845.0,4.12,76754.0,0.83,21.65 +72040,France,2004,Dengue,Genetic,8.04,8.78,8.97,0-18,Female,784740,96.84,3.67,1.25,Therapy,20004.0,Yes,94.44,1684.0,6.19,94675.0,0.61,81.03 +72041,Brazil,2005,Cholera,Viral,11.74,4.18,9.49,0-18,Female,46094,52.53,2.9,8.38,Medication,14830.0,No,80.83,2358.0,5.42,95495.0,0.81,89.74 +72042,Argentina,2013,Hypertension,Bacterial,0.72,0.29,9.43,0-18,Female,582290,68.51,2.55,5.51,Medication,14529.0,No,97.68,2925.0,8.35,92010.0,0.73,45.54 +72044,China,2010,Measles,Parasitic,13.97,14.21,1.47,61+,Female,542777,76.74,0.54,8.28,Surgery,24014.0,No,74.73,963.0,6.0,64501.0,0.66,23.89 +72056,Turkey,2006,Rabies,Neurological,7.99,11.94,4.64,19-35,Female,285526,71.68,3.88,6.81,Vaccination,24580.0,No,86.09,2648.0,5.12,46093.0,0.8,53.7 +72064,Japan,2024,Influenza,Metabolic,14.38,9.63,2.42,0-18,Other,468077,50.73,3.51,6.01,Surgery,38479.0,No,84.56,3618.0,7.88,44130.0,0.64,21.31 +72068,USA,2014,Rabies,Cardiovascular,3.42,4.56,5.88,36-60,Other,866276,69.61,1.72,5.63,Vaccination,29729.0,No,82.96,4935.0,8.37,56159.0,0.43,80.92 +72074,USA,2024,Diabetes,Parasitic,15.3,11.53,4.11,36-60,Other,878587,80.77,3.63,9.84,Surgery,21656.0,No,84.87,3959.0,1.2,49876.0,0.88,65.72 +72077,Indonesia,2016,Asthma,Viral,16.18,1.0,2.63,61+,Female,632443,96.28,2.27,3.12,Therapy,44574.0,Yes,70.4,4380.0,8.66,90099.0,0.51,82.16 +72092,India,2010,Parkinson's Disease,Infectious,19.14,3.55,3.63,0-18,Other,201951,65.23,4.21,4.32,Surgery,41689.0,Yes,66.7,2697.0,5.04,2302.0,0.77,66.63 +72108,Brazil,2004,Ebola,Bacterial,15.15,10.47,0.4,0-18,Female,136611,93.41,2.94,2.31,Surgery,18542.0,No,87.21,166.0,6.74,98918.0,0.41,67.04 +72110,South Africa,2010,Diabetes,Neurological,6.35,2.9,9.07,0-18,Male,31817,57.45,3.1,3.03,Vaccination,8092.0,No,87.54,1685.0,4.05,2172.0,0.49,74.84 +72117,Germany,2001,Leprosy,Metabolic,10.92,11.91,7.66,36-60,Female,861817,84.74,3.01,7.3,Surgery,32052.0,No,73.83,1988.0,1.15,99054.0,0.47,65.82 +72142,Indonesia,2009,Zika,Respiratory,8.18,9.48,4.24,61+,Female,322644,92.25,4.8,3.53,Medication,3534.0,No,82.28,528.0,7.67,51927.0,0.67,86.63 +72143,South Korea,2010,Polio,Viral,18.54,4.83,0.14,61+,Female,617430,50.11,0.76,5.49,Surgery,37144.0,Yes,94.75,517.0,1.92,41052.0,0.67,58.95 +72145,Turkey,2010,Measles,Infectious,1.06,14.96,0.95,0-18,Male,996260,78.27,3.04,5.77,Therapy,46315.0,No,55.75,4666.0,5.62,79707.0,0.42,27.8 +72149,China,2008,Cancer,Bacterial,19.93,9.13,2.09,19-35,Male,584884,57.16,2.02,1.18,Vaccination,25300.0,Yes,54.04,918.0,1.92,67027.0,0.62,61.08 +72150,Argentina,2014,Ebola,Parasitic,14.43,1.99,3.35,0-18,Other,788076,94.57,3.26,6.03,Vaccination,28480.0,Yes,90.09,175.0,0.21,56911.0,0.69,78.55 +72152,Saudi Arabia,2011,Parkinson's Disease,Parasitic,8.35,10.82,2.2,36-60,Female,796099,62.68,0.58,3.17,Vaccination,47555.0,Yes,57.29,3622.0,6.28,37446.0,0.75,84.91 +72155,Nigeria,2022,Polio,Respiratory,14.58,2.15,0.78,0-18,Male,765040,75.54,1.29,0.86,Surgery,43663.0,Yes,80.76,241.0,4.67,7573.0,0.88,34.69 +72178,Germany,2018,Ebola,Bacterial,2.74,6.18,3.02,19-35,Female,468406,63.21,3.47,3.01,Medication,16973.0,No,90.55,2071.0,0.44,16042.0,0.82,58.11 +72183,USA,2008,COVID-19,Autoimmune,11.69,13.23,2.66,61+,Other,159705,53.68,3.29,5.64,Surgery,27979.0,Yes,63.65,2957.0,7.14,24963.0,0.51,44.31 +72188,Turkey,2021,Tuberculosis,Infectious,5.95,8.68,5.75,0-18,Female,371393,79.82,3.51,1.01,Medication,17368.0,Yes,59.98,65.0,5.43,71128.0,0.49,89.67 +72190,Turkey,2000,Diabetes,Respiratory,13.68,6.14,2.0,61+,Other,145019,95.16,3.7,4.15,Therapy,41136.0,Yes,96.8,2327.0,7.83,64113.0,0.67,87.04 +72193,Brazil,2024,Parkinson's Disease,Parasitic,17.26,5.11,6.29,19-35,Other,876783,83.84,3.37,8.39,Surgery,17849.0,No,64.79,3707.0,0.26,36930.0,0.65,44.11 +72198,Germany,2011,Polio,Viral,7.97,2.14,3.17,0-18,Male,347381,82.71,3.55,6.76,Vaccination,25036.0,Yes,86.27,3099.0,1.2,94948.0,0.78,37.93 +72199,Saudi Arabia,2001,Polio,Parasitic,13.87,14.43,0.44,0-18,Male,864393,58.11,1.03,4.63,Therapy,11856.0,No,91.11,2596.0,6.36,34711.0,0.86,29.75 +72201,Australia,2009,Rabies,Chronic,13.69,4.6,0.84,19-35,Female,507720,85.2,0.85,7.25,Therapy,23126.0,No,91.4,4357.0,9.77,23334.0,0.68,89.73 +72206,Canada,2018,Zika,Infectious,9.08,11.15,3.17,0-18,Female,157948,75.48,4.28,9.1,Vaccination,33834.0,No,73.07,1936.0,2.36,14551.0,0.77,54.81 +72207,Japan,2018,Rabies,Infectious,16.12,14.05,6.77,0-18,Male,315033,80.11,4.63,9.24,Surgery,17665.0,No,52.53,4310.0,1.3,9791.0,0.4,54.81 +72210,Japan,2020,Zika,Metabolic,17.12,13.13,3.11,0-18,Male,337493,57.12,4.08,2.24,Therapy,47459.0,No,97.28,3801.0,0.65,93782.0,0.57,29.54 +72211,Nigeria,2004,Zika,Parasitic,16.23,2.19,7.0,36-60,Male,125580,75.33,2.85,6.16,Surgery,8717.0,Yes,53.8,2240.0,3.11,40290.0,0.88,87.56 +72215,Nigeria,2005,Alzheimer's Disease,Infectious,14.34,1.57,3.81,19-35,Male,708584,53.91,4.72,6.6,Vaccination,36690.0,No,62.26,4747.0,7.03,5222.0,0.55,30.15 +72220,Turkey,2012,COVID-19,Neurological,4.58,4.64,3.15,36-60,Male,526431,73.43,2.21,8.1,Vaccination,17028.0,No,71.94,3314.0,4.65,51211.0,0.56,69.18 +72221,India,2016,Alzheimer's Disease,Bacterial,5.88,13.15,2.9,36-60,Female,471526,91.26,4.65,9.05,Therapy,34101.0,No,71.95,4872.0,7.79,36376.0,0.81,43.98 +72227,Germany,2023,Tuberculosis,Viral,3.82,4.35,6.99,19-35,Other,43317,80.54,0.76,0.68,Surgery,30704.0,Yes,53.65,4224.0,4.68,57055.0,0.5,69.07 +72230,Japan,2006,Diabetes,Chronic,14.25,10.92,8.02,36-60,Other,933390,85.87,1.46,3.72,Therapy,13462.0,Yes,79.4,4798.0,9.78,31440.0,0.64,33.85 +72238,Australia,2008,HIV/AIDS,Respiratory,0.73,9.43,3.33,36-60,Other,918368,83.64,3.58,8.38,Therapy,41452.0,Yes,94.27,4246.0,4.85,15638.0,0.6,61.2 +72242,Brazil,2006,Zika,Infectious,13.97,12.36,6.62,36-60,Male,63196,69.23,3.13,6.15,Surgery,4991.0,Yes,55.19,771.0,8.97,30401.0,0.69,44.01 +72247,Italy,2003,Leprosy,Chronic,19.79,6.6,5.83,36-60,Female,246646,59.71,4.2,8.55,Vaccination,12653.0,Yes,53.49,4496.0,1.28,98243.0,0.67,34.36 +72248,Germany,2007,Malaria,Neurological,16.53,8.16,8.03,0-18,Other,808982,72.38,2.67,9.05,Medication,33803.0,No,62.52,339.0,1.63,99797.0,0.56,33.63 +72258,Brazil,2023,Hepatitis,Neurological,2.88,9.0,9.81,61+,Male,105890,71.66,1.93,7.9,Medication,35132.0,No,68.4,4465.0,5.14,59806.0,0.53,23.22 +72263,Brazil,2006,Hypertension,Metabolic,1.76,14.25,3.02,61+,Female,901790,64.06,1.08,8.34,Vaccination,14611.0,No,68.51,4977.0,3.12,80124.0,0.71,71.34 +72266,Australia,2024,Measles,Parasitic,3.82,14.47,7.22,61+,Other,126028,89.14,4.35,7.32,Surgery,43175.0,No,88.07,4864.0,9.55,75441.0,0.89,47.9 +72267,UK,2003,Polio,Genetic,15.47,3.73,7.01,36-60,Female,789236,50.23,0.74,2.56,Medication,13248.0,No,59.13,397.0,3.22,75576.0,0.83,66.41 +72270,Italy,2014,Leprosy,Parasitic,4.09,4.08,2.67,61+,Male,436915,96.31,2.53,8.08,Medication,47403.0,Yes,51.23,3194.0,5.29,33751.0,0.78,83.66 +72271,Saudi Arabia,2000,Influenza,Parasitic,17.15,8.11,4.92,19-35,Female,644707,58.31,1.45,2.8,Medication,49655.0,Yes,53.98,4833.0,5.17,63027.0,0.86,30.05 +72273,China,2023,Polio,Viral,13.11,6.32,1.33,36-60,Male,909498,51.74,1.33,2.41,Surgery,11856.0,No,62.33,538.0,0.54,96694.0,0.46,61.69 +72274,Brazil,2008,Ebola,Parasitic,10.49,3.75,8.75,36-60,Other,52560,87.16,2.12,7.19,Surgery,751.0,Yes,70.14,2090.0,3.22,57033.0,0.79,80.14 +72278,South Korea,2022,Influenza,Neurological,9.95,9.36,2.3,36-60,Female,660875,63.95,1.62,3.66,Therapy,24806.0,Yes,96.21,2100.0,2.18,75057.0,0.82,48.66 +72285,Mexico,2009,Asthma,Autoimmune,15.72,11.42,3.61,19-35,Female,889283,70.04,2.73,5.55,Vaccination,43644.0,Yes,86.17,4559.0,0.2,37549.0,0.68,59.46 +72289,Japan,2007,Cancer,Parasitic,5.4,14.26,2.21,19-35,Male,671920,67.18,2.83,2.47,Surgery,18774.0,No,57.23,4303.0,6.98,39809.0,0.49,52.2 +72293,China,2011,Hypertension,Cardiovascular,16.25,2.47,3.99,0-18,Other,88110,69.58,4.27,1.99,Medication,39472.0,No,79.36,329.0,2.58,19524.0,0.77,51.15 +72294,France,2002,Leprosy,Genetic,9.32,7.48,2.23,36-60,Male,601286,84.35,1.01,1.94,Therapy,28506.0,Yes,55.46,2665.0,2.88,11028.0,0.81,76.15 +72295,Germany,2005,Hypertension,Chronic,19.92,3.49,1.06,36-60,Male,149425,83.03,1.66,0.63,Vaccination,34946.0,No,83.58,324.0,2.13,33078.0,0.88,82.85 +72299,UK,2007,Hepatitis,Viral,7.33,9.49,8.37,19-35,Other,171568,84.73,3.24,8.54,Medication,1475.0,Yes,96.24,4104.0,0.19,44471.0,0.66,41.66 +72307,Russia,2003,Zika,Parasitic,2.32,8.59,3.89,0-18,Female,989601,50.53,4.94,8.04,Surgery,17016.0,No,70.84,4030.0,8.6,33195.0,0.54,50.39 +72309,South Africa,2005,Rabies,Genetic,2.42,0.33,3.48,0-18,Other,4496,56.48,3.59,7.51,Therapy,963.0,Yes,94.49,1296.0,0.23,26827.0,0.8,81.06 +72316,Saudi Arabia,2016,Leprosy,Viral,2.69,4.01,9.92,36-60,Other,340505,92.02,0.87,3.97,Vaccination,45938.0,Yes,74.49,3635.0,7.58,11351.0,0.56,56.42 +72324,Brazil,2004,Cancer,Viral,5.93,7.0,4.21,19-35,Female,994667,68.52,1.98,4.83,Surgery,31135.0,Yes,51.26,4203.0,3.69,70066.0,0.62,35.14 +72328,France,2016,COVID-19,Infectious,10.53,7.78,9.79,36-60,Male,770184,83.09,1.49,2.62,Vaccination,2816.0,Yes,83.88,1508.0,0.65,47273.0,0.44,62.4 +72334,France,2016,Leprosy,Parasitic,13.27,11.57,2.29,36-60,Other,46014,67.08,1.43,7.56,Medication,39387.0,No,61.28,2525.0,1.88,68170.0,0.9,58.52 +72335,Argentina,2006,Dengue,Genetic,11.57,5.45,4.22,0-18,Male,82069,63.27,2.1,5.62,Surgery,9683.0,Yes,54.07,3227.0,3.99,50876.0,0.69,20.42 +72339,France,2016,Polio,Genetic,13.42,2.95,5.5,36-60,Male,47744,79.85,1.8,7.17,Vaccination,19394.0,No,95.97,2695.0,5.77,26817.0,0.4,52.99 +72342,South Korea,2014,Hypertension,Infectious,7.83,14.02,6.78,61+,Male,432243,80.03,3.87,4.39,Medication,47396.0,Yes,91.58,1726.0,4.35,70464.0,0.79,28.12 +72345,France,2022,Influenza,Genetic,17.75,2.62,9.47,61+,Other,563103,91.0,2.26,5.6,Vaccination,34174.0,Yes,88.07,4435.0,2.46,39713.0,0.79,83.16 +72350,China,2013,Leprosy,Metabolic,19.04,10.67,4.46,19-35,Other,274849,97.67,0.54,1.93,Medication,42639.0,Yes,96.45,1717.0,1.55,5091.0,0.83,39.16 +72366,Italy,2010,Cholera,Bacterial,7.63,3.62,8.85,61+,Female,862034,60.97,2.6,4.12,Surgery,47247.0,Yes,81.01,2488.0,1.95,24654.0,0.49,63.16 +72371,Germany,2011,Ebola,Neurological,12.86,12.38,9.47,19-35,Male,842081,52.37,3.33,4.09,Surgery,39214.0,Yes,68.17,1859.0,5.02,82044.0,0.41,30.24 +72378,South Africa,2021,Cholera,Infectious,8.92,14.88,2.39,61+,Female,947926,97.23,4.12,1.2,Surgery,37693.0,Yes,85.36,222.0,8.95,48934.0,0.75,43.95 +72386,USA,2018,Malaria,Infectious,4.27,11.05,6.34,0-18,Female,253484,62.43,0.7,0.9,Therapy,18348.0,No,55.61,992.0,8.66,61870.0,0.85,75.27 +72387,France,2013,Alzheimer's Disease,Bacterial,15.32,5.75,9.4,0-18,Other,202473,82.29,1.81,2.36,Surgery,35706.0,No,72.67,1506.0,1.15,28504.0,0.64,20.91 +72390,Australia,2006,Cancer,Cardiovascular,10.32,7.49,3.15,0-18,Female,232592,87.14,2.33,9.21,Surgery,13518.0,No,71.33,2356.0,7.53,40649.0,0.47,58.99 +72392,Australia,2009,Ebola,Bacterial,11.98,8.29,0.6,61+,Other,514067,75.77,2.67,4.09,Medication,35704.0,No,84.19,4793.0,3.6,10836.0,0.52,76.21 +72396,Saudi Arabia,2015,Polio,Parasitic,7.57,11.86,0.58,19-35,Female,317798,61.09,3.39,7.08,Therapy,8598.0,No,83.07,1082.0,9.45,55586.0,0.64,31.07 +72397,France,2019,Hypertension,Metabolic,14.99,13.82,8.07,19-35,Male,600738,83.85,3.19,8.39,Therapy,36240.0,Yes,93.28,4081.0,8.31,51988.0,0.45,48.67 +72403,South Korea,2023,Alzheimer's Disease,Neurological,18.56,2.6,3.28,61+,Other,597238,75.52,3.53,8.54,Surgery,12851.0,Yes,59.64,3922.0,5.06,74032.0,0.6,66.5 +72406,India,2013,Hypertension,Bacterial,2.39,3.35,8.55,61+,Female,123660,87.06,2.58,1.39,Surgery,44762.0,Yes,53.83,3686.0,1.09,63514.0,0.64,78.67 +72409,Germany,2009,Diabetes,Respiratory,0.48,0.85,3.14,61+,Female,974719,51.5,3.42,3.07,Medication,32200.0,Yes,81.29,2363.0,9.06,91958.0,0.79,62.63 +72414,Argentina,2017,Asthma,Bacterial,7.11,2.73,8.24,61+,Other,72607,87.66,4.25,4.61,Surgery,21155.0,No,84.69,1937.0,4.93,32213.0,0.73,79.65 +72415,Canada,2023,Influenza,Chronic,18.23,4.26,3.49,0-18,Male,275147,87.98,1.57,8.08,Therapy,14410.0,Yes,70.29,3967.0,7.52,96877.0,0.82,44.22 +72421,Italy,2002,Hypertension,Chronic,0.57,12.02,3.55,36-60,Other,928847,92.57,2.03,7.96,Surgery,14842.0,No,84.92,2630.0,0.6,94296.0,0.57,58.53 +72423,Turkey,2019,Hepatitis,Parasitic,12.64,4.74,4.32,61+,Female,90566,75.61,2.26,7.03,Medication,4870.0,No,55.09,707.0,1.4,67551.0,0.45,32.01 +72431,Russia,2004,HIV/AIDS,Chronic,15.49,11.96,6.94,61+,Male,600931,89.7,4.22,3.64,Medication,6972.0,Yes,74.15,3019.0,3.42,94260.0,0.73,30.47 +72432,Turkey,2012,Asthma,Neurological,12.83,11.33,2.19,0-18,Male,747071,79.07,1.61,9.44,Medication,47321.0,Yes,59.67,3185.0,2.95,91555.0,0.44,74.95 +72434,Brazil,2023,Diabetes,Neurological,16.98,3.43,1.64,61+,Male,232555,94.9,4.29,7.97,Vaccination,34363.0,Yes,68.51,2351.0,6.81,32744.0,0.75,40.94 +72435,Saudi Arabia,2010,Diabetes,Neurological,1.89,3.31,9.52,61+,Other,243875,88.83,2.72,8.02,Surgery,9176.0,Yes,96.32,271.0,5.2,7610.0,0.72,69.65 +72441,India,2018,Cancer,Genetic,4.32,12.28,6.65,61+,Male,350255,77.08,1.65,0.76,Surgery,35187.0,No,94.91,1907.0,1.5,91835.0,0.72,24.42 +72442,South Korea,2023,Ebola,Respiratory,2.49,11.43,0.89,36-60,Male,214406,53.38,0.95,5.82,Therapy,44369.0,Yes,98.37,476.0,6.36,89723.0,0.83,84.95 +72448,Turkey,2015,COVID-19,Metabolic,11.56,10.16,3.25,19-35,Female,953683,72.4,3.67,6.92,Therapy,45924.0,No,61.29,4372.0,0.38,43978.0,0.69,22.23 +72457,Nigeria,2003,Alzheimer's Disease,Chronic,18.0,4.03,4.33,61+,Male,85129,71.05,2.24,2.92,Surgery,36388.0,No,55.56,1359.0,4.87,22044.0,0.59,22.94 +72460,Turkey,2023,HIV/AIDS,Neurological,1.55,7.51,6.93,0-18,Female,119505,69.62,0.58,5.61,Therapy,23811.0,Yes,67.25,1166.0,5.93,973.0,0.63,34.53 +72473,Brazil,2012,Leprosy,Bacterial,7.8,9.11,7.33,0-18,Other,302738,73.06,2.19,1.75,Medication,48570.0,No,81.47,1793.0,9.02,84540.0,0.49,27.79 +72475,USA,2009,Diabetes,Autoimmune,11.72,0.34,1.82,0-18,Female,927973,97.45,1.51,5.51,Surgery,37860.0,Yes,51.33,1450.0,4.66,52449.0,0.67,46.91 +72480,France,2012,Rabies,Parasitic,0.73,3.33,1.93,36-60,Male,26392,99.92,1.93,1.22,Medication,10470.0,No,56.04,4034.0,6.9,82897.0,0.57,73.84 +72486,UK,2018,Parkinson's Disease,Autoimmune,10.13,6.59,0.93,61+,Female,667815,72.8,3.6,9.67,Therapy,48707.0,No,52.69,3398.0,0.43,35287.0,0.62,74.35 +72487,Argentina,2008,HIV/AIDS,Chronic,9.13,4.07,3.75,19-35,Female,765963,94.37,2.82,4.08,Medication,16138.0,No,64.87,1879.0,0.72,93018.0,0.4,48.35 +72488,Russia,2008,Ebola,Infectious,18.64,14.16,6.12,61+,Female,63689,95.08,3.7,7.94,Therapy,20622.0,Yes,59.0,285.0,6.23,63491.0,0.59,84.15 +72489,Germany,2022,Malaria,Chronic,17.45,13.58,3.54,19-35,Male,951464,96.1,1.19,9.21,Medication,30788.0,Yes,69.73,2383.0,7.02,85667.0,0.55,32.41 +72492,Russia,2020,Measles,Cardiovascular,12.91,9.62,7.03,61+,Male,335100,72.94,3.84,7.3,Surgery,36601.0,No,54.75,2468.0,3.6,51682.0,0.9,57.24 +72493,Japan,2014,Asthma,Bacterial,15.73,9.49,0.81,19-35,Other,870996,62.82,4.96,9.87,Vaccination,12452.0,Yes,53.4,1377.0,7.58,4433.0,0.85,53.45 +72498,China,2005,Hepatitis,Neurological,8.76,3.83,1.89,0-18,Female,622088,60.2,4.66,7.43,Medication,13919.0,Yes,68.42,1288.0,1.54,70213.0,0.46,44.45 +72501,Argentina,2012,Ebola,Bacterial,8.65,13.56,3.99,61+,Male,575875,80.63,3.7,1.64,Therapy,23253.0,No,84.0,3403.0,4.4,43371.0,0.54,75.6 +72509,South Africa,2012,Malaria,Cardiovascular,16.18,13.97,3.43,36-60,Male,630131,59.16,2.75,1.44,Surgery,5438.0,No,98.26,3036.0,6.94,1832.0,0.86,66.83 +72513,Saudi Arabia,2012,Diabetes,Chronic,19.07,0.16,5.1,0-18,Male,192135,92.67,4.43,7.82,Therapy,41049.0,Yes,94.63,3109.0,6.82,84473.0,0.59,31.84 +72518,South Africa,2014,Zika,Infectious,10.97,0.22,3.8,61+,Male,935028,53.44,3.25,7.17,Medication,8189.0,Yes,87.8,3863.0,8.88,72564.0,0.83,74.96 +72523,South Korea,2019,Hypertension,Genetic,6.47,7.82,1.74,61+,Female,762182,88.56,1.6,1.25,Medication,31123.0,No,92.86,6.0,0.05,26373.0,0.6,51.43 +72527,South Africa,2024,Parkinson's Disease,Parasitic,18.77,6.12,0.39,0-18,Female,817854,77.14,0.69,2.81,Therapy,41467.0,No,52.27,4908.0,6.0,55750.0,0.89,81.54 +72534,Japan,2017,Diabetes,Respiratory,10.28,6.24,3.03,61+,Male,950645,74.86,2.84,0.79,Surgery,19591.0,No,62.59,2635.0,3.42,74871.0,0.84,63.11 +72537,South Korea,2007,Zika,Metabolic,4.14,5.38,2.04,0-18,Female,454653,70.48,4.57,7.32,Surgery,10874.0,No,66.73,2658.0,9.32,94979.0,0.45,79.1 +72541,Brazil,2003,Diabetes,Cardiovascular,7.37,8.26,0.14,61+,Male,99265,60.89,3.45,1.96,Medication,35085.0,Yes,72.62,4686.0,3.27,63343.0,0.88,38.88 +72545,Argentina,2001,Ebola,Cardiovascular,0.65,4.95,8.39,36-60,Male,645549,98.66,1.27,5.92,Medication,49684.0,No,65.73,4792.0,9.34,96789.0,0.6,48.23 +72548,Italy,2024,Tuberculosis,Metabolic,10.8,11.02,5.65,61+,Male,129840,55.48,2.7,9.03,Surgery,5689.0,Yes,83.45,3413.0,8.64,61424.0,0.47,82.1 +72553,South Africa,2023,Alzheimer's Disease,Bacterial,2.86,0.84,8.64,36-60,Other,742380,83.83,1.89,8.01,Medication,38028.0,No,53.38,493.0,1.05,41004.0,0.7,77.4 +72557,South Korea,2002,Tuberculosis,Autoimmune,3.1,11.94,5.21,19-35,Male,230804,57.78,1.23,9.92,Medication,10426.0,No,90.97,4101.0,7.88,45687.0,0.56,48.29 +72559,Indonesia,2024,Asthma,Viral,10.05,12.57,3.41,61+,Female,891149,65.86,0.84,1.88,Therapy,42999.0,No,79.97,4986.0,5.01,68179.0,0.55,39.83 +72560,India,2001,COVID-19,Neurological,2.57,5.67,0.55,19-35,Other,239130,57.48,0.62,5.57,Vaccination,14569.0,Yes,60.95,3929.0,1.92,83127.0,0.51,67.21 +72561,USA,2016,Parkinson's Disease,Respiratory,17.67,2.86,9.77,36-60,Female,910038,63.0,1.73,5.21,Surgery,24427.0,Yes,74.11,579.0,7.08,55732.0,0.84,31.85 +72565,USA,2021,HIV/AIDS,Genetic,11.2,9.13,7.38,19-35,Female,38452,66.59,4.64,9.0,Therapy,28316.0,Yes,55.65,1827.0,1.02,3032.0,0.81,37.36 +72569,UK,2010,Asthma,Bacterial,9.5,5.53,2.3,19-35,Other,987696,60.39,1.41,8.34,Therapy,35787.0,Yes,70.96,4203.0,2.35,25190.0,0.72,44.5 +72570,Nigeria,2003,Influenza,Cardiovascular,10.19,14.63,5.73,36-60,Female,136593,67.87,3.59,8.06,Therapy,35349.0,Yes,86.54,3038.0,3.47,95002.0,0.66,48.63 +72571,Canada,2022,Tuberculosis,Metabolic,9.27,10.91,3.89,0-18,Male,329795,88.32,1.24,1.7,Vaccination,25411.0,No,91.34,2149.0,1.32,5116.0,0.66,24.63 +72578,India,2023,Dengue,Chronic,19.48,3.25,1.78,19-35,Male,265979,75.37,1.4,7.66,Surgery,46635.0,No,96.55,861.0,1.49,71740.0,0.54,21.62 +72584,Italy,2000,Malaria,Bacterial,11.38,12.74,3.26,19-35,Female,307527,81.93,4.34,9.29,Medication,32886.0,No,79.53,352.0,1.84,56437.0,0.9,34.72 +72588,Nigeria,2004,Measles,Viral,15.59,10.93,6.64,61+,Female,257250,88.93,1.79,5.21,Vaccination,42413.0,Yes,56.66,1571.0,2.3,81513.0,0.66,62.66 +72591,India,2012,Tuberculosis,Cardiovascular,10.72,14.7,4.08,36-60,Male,65285,72.59,0.6,7.31,Vaccination,42554.0,No,97.69,1263.0,1.69,72625.0,0.89,24.28 +72592,India,2007,Hepatitis,Neurological,15.38,14.25,6.83,0-18,Other,563587,62.51,0.85,3.28,Surgery,9640.0,Yes,73.37,4544.0,8.53,96744.0,0.46,59.31 +72593,Nigeria,2002,Hypertension,Cardiovascular,9.99,9.08,6.71,0-18,Female,495033,68.67,2.53,9.16,Medication,26562.0,Yes,76.36,1525.0,6.3,37383.0,0.53,73.29 +72598,Japan,2024,Diabetes,Infectious,4.68,6.88,9.16,36-60,Male,12292,86.83,2.48,0.68,Therapy,48359.0,No,70.59,2069.0,6.31,15726.0,0.45,36.97 +72604,Nigeria,2023,Cholera,Respiratory,6.43,13.93,0.28,61+,Other,238025,53.72,4.88,9.87,Medication,37771.0,No,93.35,4768.0,7.5,50550.0,0.67,89.37 +72605,China,2020,Malaria,Viral,0.43,0.42,6.24,36-60,Male,128026,75.07,3.66,8.22,Surgery,19094.0,Yes,60.62,883.0,6.85,35941.0,0.78,76.3 +72609,Brazil,2019,Asthma,Viral,5.56,6.4,9.51,61+,Male,776907,94.27,0.71,5.32,Vaccination,47512.0,Yes,65.12,3981.0,4.52,12249.0,0.76,88.14 +72624,Saudi Arabia,2001,HIV/AIDS,Infectious,0.21,6.45,3.48,19-35,Female,844848,61.86,2.88,5.64,Therapy,11194.0,No,61.18,553.0,6.98,54377.0,0.54,89.12 +72631,Indonesia,2015,Leprosy,Infectious,19.02,4.6,9.1,61+,Other,149795,74.05,4.17,7.18,Therapy,16767.0,No,89.23,164.0,9.85,78893.0,0.86,43.74 +72632,Canada,2016,Cholera,Metabolic,3.39,3.05,6.0,19-35,Other,719343,64.47,1.27,5.5,Vaccination,6756.0,Yes,94.83,393.0,5.66,31597.0,0.6,54.14 +72633,France,2012,Asthma,Neurological,18.71,0.44,6.79,0-18,Male,562878,53.15,4.9,7.6,Therapy,22425.0,No,88.05,1466.0,0.91,12029.0,0.75,42.12 +72634,Germany,2010,Ebola,Viral,18.71,13.21,5.93,36-60,Male,337126,74.56,3.29,2.78,Therapy,10012.0,Yes,52.49,2666.0,6.94,90902.0,0.42,62.36 +72635,Nigeria,2012,Influenza,Infectious,5.4,0.6,2.49,61+,Male,957392,94.31,3.27,6.79,Therapy,43644.0,Yes,60.59,3105.0,6.7,58752.0,0.68,41.79 +72655,Italy,2020,Parkinson's Disease,Metabolic,16.35,10.06,9.62,61+,Female,483442,55.88,1.19,9.21,Medication,39565.0,No,87.17,4909.0,7.4,61385.0,0.73,66.74 +72656,Turkey,2009,Asthma,Viral,17.55,4.41,9.02,0-18,Other,530965,89.4,0.89,7.03,Medication,41175.0,No,52.49,451.0,8.78,86142.0,0.72,87.07 +72662,India,2011,Diabetes,Chronic,8.08,13.17,8.45,36-60,Male,161071,64.58,3.58,9.1,Therapy,42928.0,No,64.72,3960.0,7.98,6774.0,0.71,34.03 +72666,India,2001,Cholera,Parasitic,19.85,12.07,6.03,19-35,Other,756792,57.39,3.02,1.58,Medication,14799.0,No,60.79,3651.0,7.51,57351.0,0.58,29.06 +72667,Argentina,2006,Rabies,Chronic,10.99,3.58,6.88,61+,Male,542635,99.99,2.31,3.21,Medication,19883.0,No,96.22,3237.0,5.89,38241.0,0.7,44.73 +72673,Saudi Arabia,2011,Cholera,Neurological,3.24,5.4,7.4,19-35,Male,965324,99.44,1.93,9.68,Vaccination,38500.0,Yes,52.35,4396.0,3.05,93323.0,0.54,75.48 +72675,China,2009,Ebola,Respiratory,1.32,13.9,6.38,61+,Other,53958,92.27,0.85,8.15,Medication,37412.0,Yes,92.26,927.0,8.94,12740.0,0.74,36.56 +72684,Russia,2015,Hypertension,Chronic,14.35,6.38,0.83,19-35,Male,138248,89.71,2.6,8.86,Medication,25223.0,Yes,61.99,3577.0,6.14,83812.0,0.88,82.93 +72688,Argentina,2002,Influenza,Respiratory,1.98,3.46,2.11,61+,Female,393868,75.95,1.53,5.01,Therapy,10523.0,No,60.43,4691.0,4.73,43326.0,0.54,32.75 +72696,Argentina,2014,Measles,Cardiovascular,16.29,0.2,3.27,19-35,Male,803093,55.47,3.13,9.56,Therapy,44446.0,Yes,84.68,2968.0,6.88,57290.0,0.81,25.63 +72718,South Korea,2006,Malaria,Respiratory,16.49,8.67,6.57,36-60,Male,279413,63.63,1.64,9.84,Vaccination,46008.0,No,62.03,1776.0,2.01,71163.0,0.85,69.81 +72724,UK,2018,Cancer,Bacterial,18.16,2.0,5.77,19-35,Female,234826,55.28,2.46,8.57,Medication,18766.0,Yes,57.49,1442.0,2.83,48123.0,0.76,67.03 +72729,China,2001,Polio,Parasitic,12.43,9.91,0.35,36-60,Female,987832,73.33,0.64,0.81,Therapy,2903.0,No,97.92,879.0,0.18,29039.0,0.88,45.42 +72735,Germany,2001,HIV/AIDS,Parasitic,19.64,0.39,0.29,19-35,Other,727981,95.51,4.04,7.51,Surgery,40903.0,No,95.83,3108.0,4.98,34499.0,0.57,53.02 +72739,UK,2021,Influenza,Cardiovascular,2.45,9.01,7.16,61+,Male,13897,67.47,4.63,3.91,Vaccination,15059.0,No,59.99,2209.0,0.08,16087.0,0.79,55.24 +72742,Japan,2016,Cancer,Autoimmune,18.71,9.23,8.42,36-60,Male,30755,54.36,3.94,1.0,Vaccination,19345.0,Yes,90.66,4321.0,8.73,29198.0,0.61,78.09 +72748,South Africa,2008,Polio,Bacterial,2.51,10.82,1.37,19-35,Other,50401,86.04,2.03,6.05,Therapy,17953.0,Yes,87.58,456.0,1.35,33646.0,0.85,41.76 +72749,Germany,2021,Ebola,Genetic,19.62,5.6,1.26,61+,Other,243976,82.71,2.0,9.45,Surgery,37511.0,Yes,50.92,4516.0,6.09,65649.0,0.83,88.88 +72759,South Korea,2008,Measles,Chronic,10.42,6.3,8.62,61+,Other,659229,75.17,4.84,0.64,Surgery,4623.0,Yes,65.07,2972.0,7.54,54361.0,0.64,47.93 +72761,France,2007,Cancer,Metabolic,1.51,11.43,2.93,61+,Male,309391,68.65,3.3,0.77,Surgery,30816.0,No,71.39,349.0,5.38,2851.0,0.76,21.03 +72765,South Korea,2011,Parkinson's Disease,Viral,12.07,0.6,5.36,0-18,Other,584025,56.22,2.65,4.51,Vaccination,37441.0,Yes,70.08,3847.0,9.74,34919.0,0.47,76.67 +72766,Canada,2021,Tuberculosis,Parasitic,5.75,12.49,8.08,61+,Other,122674,77.14,2.84,2.88,Therapy,37500.0,No,51.66,2173.0,3.99,85317.0,0.63,35.3 +72772,Italy,2017,Tuberculosis,Neurological,18.25,5.12,2.65,36-60,Male,693537,57.33,2.03,5.63,Medication,20528.0,Yes,86.33,2091.0,6.99,37862.0,0.55,20.65 +72777,Russia,2012,Tuberculosis,Genetic,13.75,0.68,9.15,0-18,Male,451134,64.57,0.81,7.93,Medication,43197.0,Yes,75.61,2024.0,9.95,83521.0,0.69,64.87 +72783,China,2021,HIV/AIDS,Genetic,2.71,2.67,0.91,61+,Female,222599,88.81,2.67,8.86,Therapy,14582.0,No,89.44,4529.0,6.86,40720.0,0.52,79.15 +72784,Turkey,2004,Malaria,Genetic,9.1,8.68,4.82,19-35,Female,779243,75.19,3.0,8.1,Medication,20932.0,No,97.49,4786.0,3.27,81172.0,0.61,69.84 +72785,Russia,2019,Diabetes,Bacterial,16.1,0.51,1.82,0-18,Female,74889,65.08,3.82,1.77,Vaccination,27725.0,Yes,55.52,3250.0,5.64,8174.0,0.55,37.6 +72790,Turkey,2020,Dengue,Respiratory,2.54,9.84,7.87,61+,Other,519505,96.44,1.99,2.97,Surgery,30299.0,No,93.27,960.0,7.85,18405.0,0.83,32.25 +72798,UK,2001,Dengue,Cardiovascular,16.2,13.32,4.2,19-35,Male,186224,51.3,4.28,9.06,Medication,24385.0,Yes,54.88,4539.0,4.84,6960.0,0.45,33.94 +72799,Brazil,2016,Asthma,Autoimmune,17.8,5.38,0.75,36-60,Female,850623,76.61,4.95,7.99,Therapy,35215.0,No,91.68,2638.0,7.69,44866.0,0.7,59.68 +72809,Indonesia,2017,Measles,Cardiovascular,11.67,7.74,0.78,36-60,Female,774899,71.58,0.53,2.9,Therapy,16983.0,Yes,91.97,2052.0,0.95,96466.0,0.7,70.63 +72811,Italy,2019,Measles,Autoimmune,3.88,10.23,2.42,61+,Female,437322,79.15,2.83,3.7,Vaccination,48161.0,Yes,63.45,3358.0,8.93,35209.0,0.85,73.16 +72814,China,2024,Diabetes,Respiratory,4.39,2.4,8.84,61+,Other,831367,83.15,1.14,2.6,Surgery,27563.0,Yes,83.34,1526.0,5.06,14186.0,0.42,79.33 +72815,Mexico,2020,Dengue,Bacterial,1.94,1.85,2.13,61+,Other,397743,91.01,1.87,4.55,Therapy,39230.0,Yes,63.26,4596.0,2.97,87230.0,0.82,29.03 +72821,China,2007,Polio,Respiratory,4.17,2.82,7.31,0-18,Other,942154,84.33,0.59,7.75,Surgery,15340.0,No,97.95,2068.0,0.31,36448.0,0.73,40.63 +72824,Japan,2022,Ebola,Respiratory,4.47,4.56,1.12,0-18,Other,164279,59.17,3.73,0.68,Medication,18890.0,No,98.41,4287.0,9.97,84362.0,0.47,80.76 +72825,Germany,2012,Hypertension,Genetic,11.86,1.73,1.3,19-35,Male,464609,77.87,3.77,9.13,Medication,3253.0,Yes,53.9,3766.0,4.62,83456.0,0.42,27.6 +72828,Indonesia,2004,Polio,Respiratory,19.51,14.82,4.48,0-18,Male,250057,92.01,1.43,4.14,Vaccination,8864.0,No,53.88,1093.0,6.9,19215.0,0.6,46.15 +72832,China,2003,Tuberculosis,Chronic,10.93,7.98,8.76,0-18,Male,331508,78.67,1.75,8.12,Vaccination,49427.0,No,94.45,87.0,0.44,63375.0,0.52,69.38 +72837,Canada,2000,Influenza,Viral,17.14,5.12,7.69,19-35,Male,342290,68.55,3.62,0.56,Vaccination,4122.0,Yes,80.96,3692.0,0.07,34808.0,0.65,61.84 +72847,Argentina,2019,Leprosy,Cardiovascular,7.32,10.39,5.75,61+,Female,823955,73.78,1.44,8.58,Surgery,4176.0,Yes,97.3,1122.0,1.3,68529.0,0.72,36.65 +72849,China,2018,Tuberculosis,Bacterial,1.51,12.07,7.27,61+,Male,199076,86.43,1.51,2.51,Surgery,1912.0,No,96.08,1739.0,4.28,49262.0,0.58,28.41 +72850,India,2017,Dengue,Cardiovascular,6.56,2.13,2.27,36-60,Other,576888,98.56,1.99,1.5,Medication,8361.0,Yes,77.18,3008.0,7.52,14264.0,0.89,81.75 +72861,Brazil,2004,Leprosy,Autoimmune,9.7,12.84,0.77,36-60,Male,798540,79.72,1.77,3.26,Medication,29465.0,No,56.44,4345.0,8.8,83505.0,0.82,35.91 +72864,Brazil,2020,Cancer,Genetic,12.02,12.13,0.46,0-18,Male,815020,79.35,1.42,6.99,Therapy,1259.0,No,89.2,2087.0,4.99,49296.0,0.67,36.86 +72867,Brazil,2000,Asthma,Metabolic,18.06,0.45,9.33,36-60,Other,577667,80.21,1.96,9.72,Medication,17467.0,No,65.72,4189.0,7.62,88976.0,0.59,40.7 +72872,Germany,2011,Ebola,Cardiovascular,0.65,10.31,1.85,61+,Male,519465,77.03,4.09,5.29,Medication,9181.0,No,93.39,4660.0,3.02,18497.0,0.42,33.12 +72879,Russia,2009,Polio,Viral,3.7,0.13,3.76,0-18,Female,521797,90.8,0.77,8.41,Surgery,3755.0,No,87.69,801.0,8.22,65912.0,0.9,44.67 +72880,Japan,2018,Rabies,Chronic,4.82,13.54,4.63,61+,Female,290960,63.57,1.34,2.43,Vaccination,39594.0,Yes,63.93,2117.0,1.29,5919.0,0.86,77.88 +72881,Russia,2007,Asthma,Parasitic,7.74,12.58,8.46,36-60,Other,507639,92.72,4.37,4.27,Medication,38535.0,No,58.85,4262.0,6.05,75614.0,0.49,75.36 +72882,Brazil,2001,Hypertension,Cardiovascular,8.54,7.07,8.66,36-60,Male,726763,83.96,4.06,6.56,Vaccination,33713.0,Yes,74.21,501.0,8.19,94907.0,0.84,69.88 +72891,Russia,2015,Parkinson's Disease,Respiratory,7.75,2.67,6.23,0-18,Male,525872,64.77,3.26,2.16,Medication,41820.0,No,64.91,4873.0,1.35,20067.0,0.64,72.79 +72893,USA,2021,Parkinson's Disease,Metabolic,5.56,12.61,0.52,0-18,Male,843822,77.39,4.23,1.83,Medication,4942.0,No,87.86,2906.0,0.06,65128.0,0.55,51.63 +72896,Russia,2012,Cancer,Viral,1.77,6.39,1.16,19-35,Male,128761,82.95,3.81,8.1,Surgery,24161.0,Yes,71.49,2809.0,1.05,43433.0,0.61,82.78 +72901,Australia,2023,Parkinson's Disease,Chronic,8.68,5.28,0.61,0-18,Male,50656,97.58,1.47,1.58,Surgery,12234.0,Yes,95.13,2172.0,4.9,71586.0,0.8,87.39 +72905,China,2011,Cancer,Viral,9.16,10.14,4.09,0-18,Female,771135,66.49,3.72,3.69,Vaccination,16359.0,No,93.53,501.0,5.08,1806.0,0.85,40.11 +72906,Australia,2006,Polio,Neurological,5.77,7.86,1.82,61+,Female,883998,81.17,3.85,6.44,Vaccination,12982.0,No,74.09,2796.0,4.16,65359.0,0.41,86.49 +72908,Canada,2014,Alzheimer's Disease,Cardiovascular,8.06,10.1,2.78,19-35,Other,215525,89.21,3.98,6.1,Vaccination,42054.0,Yes,68.77,3910.0,9.48,47080.0,0.46,84.56 +72909,Japan,2007,Rabies,Bacterial,16.45,14.11,4.96,0-18,Male,344683,80.66,1.11,7.21,Surgery,15441.0,Yes,86.64,2170.0,5.85,58851.0,0.79,87.3 +72922,Saudi Arabia,2022,Diabetes,Chronic,7.14,12.59,4.7,36-60,Female,999667,69.12,1.0,8.91,Vaccination,20839.0,Yes,60.14,2845.0,6.41,47743.0,0.53,71.11 +72928,Canada,2009,Polio,Chronic,19.29,7.89,3.28,0-18,Male,621189,58.88,4.63,1.98,Medication,23161.0,Yes,78.72,2716.0,8.03,86115.0,0.85,51.29 +72937,Germany,2008,Malaria,Cardiovascular,2.97,3.54,0.91,19-35,Other,244775,58.9,1.9,4.16,Medication,9977.0,Yes,62.05,388.0,2.21,76682.0,0.54,23.74 +72938,Turkey,2016,Rabies,Viral,15.96,7.15,2.05,0-18,Male,575528,98.15,2.44,0.68,Medication,10249.0,Yes,66.89,1780.0,5.57,47709.0,0.67,25.42 +72942,Germany,2015,COVID-19,Infectious,1.52,12.18,6.18,19-35,Male,911404,68.21,2.79,2.25,Medication,33495.0,No,97.45,571.0,5.8,14716.0,0.52,43.77 +72943,Turkey,2002,Measles,Chronic,3.37,12.0,6.93,36-60,Other,538246,55.51,3.08,8.86,Vaccination,17215.0,Yes,66.93,3420.0,5.95,65829.0,0.57,33.62 +72947,Australia,2009,Tuberculosis,Metabolic,9.49,9.49,3.35,19-35,Female,477173,92.05,2.32,1.55,Surgery,49975.0,No,80.0,4563.0,1.86,92626.0,0.51,21.38 +72948,Nigeria,2020,Diabetes,Genetic,9.53,5.95,3.92,19-35,Other,370020,81.35,2.63,2.01,Surgery,31446.0,No,96.45,926.0,4.13,28929.0,0.74,36.3 +72955,Argentina,2024,HIV/AIDS,Infectious,18.12,1.57,4.71,19-35,Other,397009,66.28,0.91,9.8,Medication,44875.0,No,83.5,3061.0,0.5,20337.0,0.44,35.27 +72963,China,2003,Dengue,Cardiovascular,5.47,4.84,3.94,61+,Male,425130,81.36,1.15,3.04,Therapy,43968.0,Yes,83.57,4408.0,1.81,47271.0,0.62,24.48 +72966,Turkey,2018,Ebola,Parasitic,15.84,9.44,5.93,19-35,Female,236029,65.93,2.06,7.28,Vaccination,27051.0,No,87.84,687.0,6.06,87090.0,0.76,30.62 +72969,South Korea,2001,Measles,Autoimmune,0.29,2.57,1.81,0-18,Female,742634,91.56,0.52,2.08,Vaccination,1471.0,No,57.53,4285.0,2.14,44694.0,0.63,74.94 +72972,Mexico,2024,Malaria,Metabolic,10.21,5.77,2.75,0-18,Male,826672,97.84,3.0,7.47,Therapy,21301.0,No,89.94,4804.0,9.41,77300.0,0.66,85.43 +72979,USA,2002,Zika,Cardiovascular,8.79,2.92,6.9,61+,Female,335372,83.9,4.66,9.55,Therapy,34311.0,Yes,85.73,1668.0,1.15,21671.0,0.67,70.8 +72983,Canada,2018,HIV/AIDS,Chronic,5.66,12.83,0.59,19-35,Female,912974,80.85,3.97,1.01,Therapy,26036.0,Yes,54.56,3757.0,7.85,73812.0,0.78,60.15 +72986,Turkey,2009,Tuberculosis,Metabolic,2.77,6.1,4.5,36-60,Female,585477,91.35,3.0,9.29,Vaccination,36348.0,Yes,68.26,3232.0,4.46,12954.0,0.43,61.95 +72987,South Korea,2001,Hepatitis,Viral,6.59,9.98,2.15,0-18,Other,855150,83.53,1.55,0.98,Surgery,35770.0,Yes,69.91,2835.0,2.89,43379.0,0.67,69.23 +72988,Turkey,2015,Hepatitis,Genetic,16.0,13.37,6.63,0-18,Male,483507,95.36,4.64,1.81,Vaccination,39734.0,Yes,81.52,4072.0,4.02,45582.0,0.82,39.98 +72989,South Korea,2013,Measles,Chronic,9.38,14.38,6.92,36-60,Other,526434,56.76,3.19,1.07,Surgery,31320.0,Yes,51.09,1841.0,1.05,72290.0,0.73,59.99 +72998,South Africa,2022,Cancer,Infectious,4.28,4.92,8.29,61+,Male,986411,92.35,2.32,9.15,Therapy,37947.0,No,53.69,2345.0,9.83,30375.0,0.44,63.23 +73001,Germany,2015,Malaria,Autoimmune,5.32,13.49,8.42,36-60,Male,204163,79.72,2.57,9.17,Medication,47816.0,No,65.22,1183.0,5.1,22985.0,0.46,26.9 +73002,Russia,2003,Measles,Cardiovascular,18.07,6.11,9.57,0-18,Other,69290,58.27,4.02,1.78,Medication,7613.0,No,87.01,2852.0,3.47,42354.0,0.77,52.03 +73009,Nigeria,2001,Tuberculosis,Parasitic,3.46,11.11,0.3,19-35,Female,646502,80.3,4.62,8.69,Medication,39165.0,No,72.23,3408.0,9.7,88497.0,0.72,64.19 +73010,South Africa,2020,HIV/AIDS,Respiratory,17.54,6.64,9.13,19-35,Female,806320,72.52,4.6,0.83,Medication,36287.0,No,69.46,3579.0,1.8,73578.0,0.74,51.69 +73014,South Africa,2003,Malaria,Bacterial,17.71,7.74,8.79,61+,Male,952179,71.43,2.89,3.56,Therapy,22307.0,Yes,74.04,2478.0,8.83,85636.0,0.64,43.68 +73027,Canada,2002,Malaria,Chronic,15.38,4.52,2.13,61+,Male,428557,58.91,2.86,6.11,Vaccination,6104.0,No,51.06,2548.0,5.17,46883.0,0.62,32.63 +73029,China,2012,Zika,Bacterial,11.8,12.06,8.26,19-35,Male,457116,80.69,4.33,6.78,Therapy,20051.0,No,51.31,2317.0,7.45,49408.0,0.66,38.54 +73031,Turkey,2009,Dengue,Cardiovascular,8.98,10.56,6.54,36-60,Female,410370,88.86,4.2,6.62,Therapy,31687.0,No,85.56,993.0,1.73,28653.0,0.5,57.41 +73032,Japan,2010,Measles,Chronic,6.03,12.96,3.87,19-35,Female,603301,58.23,3.59,7.48,Therapy,7257.0,Yes,96.81,1761.0,6.18,72647.0,0.83,61.62 +73034,Australia,2000,COVID-19,Infectious,14.08,13.36,9.19,19-35,Other,298945,61.54,3.05,0.9,Medication,5617.0,No,92.02,3594.0,6.21,83339.0,0.74,38.62 +73042,France,2010,Tuberculosis,Neurological,18.87,4.9,1.6,0-18,Female,510077,95.77,3.27,1.36,Vaccination,46460.0,Yes,53.52,836.0,4.62,29967.0,0.7,89.83 +73055,Japan,2019,Influenza,Infectious,12.26,4.28,3.89,0-18,Female,315540,96.9,3.14,5.33,Vaccination,5430.0,Yes,70.29,2402.0,3.01,29776.0,0.57,33.19 +73059,China,2021,Rabies,Chronic,17.51,1.24,3.82,61+,Male,830445,60.5,2.08,1.87,Surgery,21741.0,No,81.79,1381.0,2.43,5218.0,0.78,65.36 +73063,Australia,2004,Zika,Genetic,19.29,7.19,2.21,36-60,Male,86751,70.74,2.64,9.23,Surgery,17105.0,Yes,52.37,1553.0,3.52,42368.0,0.88,65.0 +73066,UK,2016,Hypertension,Neurological,15.57,12.58,2.19,61+,Male,242730,89.59,3.47,8.07,Therapy,31092.0,No,82.35,2076.0,0.98,72702.0,0.75,75.46 +73070,Mexico,2024,Zika,Autoimmune,10.5,8.64,0.27,0-18,Male,267040,80.52,1.78,2.97,Therapy,39610.0,Yes,89.81,81.0,6.92,14340.0,0.61,89.38 +73073,UK,2012,Zika,Autoimmune,10.71,6.22,1.04,36-60,Female,21147,54.87,3.1,8.1,Vaccination,2121.0,Yes,76.21,1522.0,3.81,42947.0,0.81,69.19 +73077,South Korea,2010,Zika,Chronic,15.49,2.93,2.34,0-18,Female,163148,86.03,0.84,1.62,Medication,27715.0,No,67.1,473.0,4.18,31756.0,0.63,40.66 +73078,Germany,2022,Rabies,Chronic,1.2,13.51,3.63,0-18,Other,913428,80.08,3.73,8.36,Medication,5377.0,No,98.99,1981.0,4.31,99520.0,0.54,37.64 +73081,Italy,2013,Polio,Parasitic,16.93,9.32,8.56,36-60,Other,7865,78.61,1.52,5.53,Vaccination,5236.0,Yes,65.22,1892.0,0.67,38809.0,0.59,74.59 +73086,Japan,2003,Cholera,Chronic,13.84,12.65,9.63,36-60,Female,514600,74.28,1.64,0.55,Surgery,3586.0,Yes,55.98,2283.0,4.78,77648.0,0.68,73.18 +73097,China,2023,Rabies,Metabolic,0.69,4.95,4.71,19-35,Other,951094,89.42,2.24,9.55,Therapy,32954.0,No,86.21,3485.0,6.39,79476.0,0.65,48.83 +73104,South Africa,2005,Rabies,Bacterial,12.11,6.86,8.87,36-60,Other,755683,62.33,2.19,6.74,Surgery,45044.0,Yes,95.07,1010.0,2.08,25294.0,0.58,59.53 +73107,India,2024,Hepatitis,Metabolic,11.8,10.19,1.73,36-60,Other,281962,77.33,2.89,4.38,Therapy,12055.0,Yes,61.45,549.0,6.24,53593.0,0.6,53.7 +73110,Mexico,2016,Polio,Metabolic,7.84,10.69,4.35,19-35,Other,203386,68.82,0.58,5.13,Surgery,36895.0,Yes,64.97,1091.0,0.56,39426.0,0.69,76.16 +73112,France,2016,Dengue,Respiratory,9.76,5.82,6.2,61+,Male,73373,85.89,0.95,8.48,Vaccination,26581.0,Yes,81.94,69.0,6.47,45986.0,0.82,84.5 +73113,USA,2003,Hepatitis,Neurological,2.94,14.55,7.66,61+,Male,413824,57.15,3.84,7.1,Therapy,4680.0,No,92.14,577.0,0.2,83154.0,0.81,68.34 +73116,South Africa,2014,Zika,Chronic,19.22,14.83,9.94,36-60,Female,561715,93.29,1.27,5.18,Medication,14957.0,Yes,77.26,3757.0,7.04,59798.0,0.7,23.14 +73118,Canada,2003,Diabetes,Viral,4.9,12.96,2.62,19-35,Other,638737,98.32,1.67,3.61,Surgery,38767.0,No,73.53,2519.0,5.64,57956.0,0.66,76.38 +73119,Brazil,2018,Zika,Viral,11.27,8.99,2.84,19-35,Female,197871,89.59,2.37,1.03,Medication,42514.0,Yes,94.82,2245.0,6.25,33419.0,0.71,65.31 +73120,Canada,2010,Zika,Viral,13.43,2.69,6.89,0-18,Female,312925,93.04,2.26,1.56,Therapy,23577.0,Yes,94.8,228.0,5.88,45644.0,0.76,70.97 +73122,Mexico,2016,Rabies,Infectious,19.85,2.35,3.13,0-18,Male,543121,78.69,1.29,7.88,Surgery,9608.0,No,91.32,2933.0,3.48,91474.0,0.7,69.1 +73130,Canada,2016,Cholera,Bacterial,18.17,10.52,8.59,36-60,Other,856041,77.19,2.92,7.58,Therapy,15002.0,Yes,55.55,1842.0,1.43,8372.0,0.65,80.46 +73134,Turkey,2004,Parkinson's Disease,Metabolic,17.89,3.56,3.85,61+,Female,825130,96.97,0.83,6.23,Therapy,4092.0,No,66.15,3722.0,1.83,31835.0,0.71,74.52 +73141,Indonesia,2003,Dengue,Genetic,6.21,13.62,7.15,61+,Female,598165,71.97,0.83,1.85,Surgery,37069.0,No,55.51,1852.0,2.55,48155.0,0.41,74.36 +73142,France,2015,Parkinson's Disease,Neurological,17.3,2.79,2.94,0-18,Male,623592,88.81,2.27,4.22,Surgery,41031.0,Yes,76.28,1633.0,1.43,46321.0,0.62,65.98 +73143,UK,2022,Zika,Chronic,0.29,6.49,5.14,61+,Female,170492,77.7,0.55,0.51,Vaccination,39506.0,No,62.3,3986.0,6.86,63698.0,0.57,39.37 +73144,South Korea,2004,Zika,Cardiovascular,4.1,3.32,4.98,0-18,Female,242116,89.83,2.51,7.95,Vaccination,32294.0,Yes,98.15,3266.0,9.39,95174.0,0.43,82.01 +73153,USA,2016,Rabies,Cardiovascular,14.15,5.23,5.13,61+,Male,586548,84.21,0.64,4.68,Therapy,35514.0,Yes,85.33,49.0,8.6,92202.0,0.63,30.73 +73157,South Africa,2012,Hepatitis,Respiratory,15.42,4.88,8.55,19-35,Male,157525,90.74,2.27,0.89,Surgery,13044.0,No,53.39,235.0,0.84,27175.0,0.44,54.24 +73158,Australia,2012,Measles,Viral,3.9,12.19,9.48,61+,Other,405480,78.55,2.85,7.68,Surgery,32731.0,No,62.97,2412.0,7.75,41235.0,0.89,44.96 +73161,Turkey,2014,Ebola,Cardiovascular,7.65,7.89,8.94,19-35,Male,177457,63.31,1.56,3.2,Vaccination,4325.0,No,93.85,441.0,4.52,78050.0,0.55,40.9 +73168,Indonesia,2022,Ebola,Viral,15.29,14.08,9.82,0-18,Other,701199,62.21,3.3,6.53,Surgery,6139.0,Yes,68.04,3006.0,1.77,82574.0,0.84,59.94 +73175,Japan,2003,Zika,Chronic,0.5,13.89,2.43,0-18,Female,687446,77.51,1.02,3.6,Vaccination,7888.0,No,52.35,4375.0,7.2,58860.0,0.51,45.32 +73178,Italy,2018,Hypertension,Bacterial,19.04,1.19,1.44,0-18,Male,221460,55.03,4.93,9.28,Medication,44999.0,No,56.06,3732.0,2.25,22433.0,0.51,75.83 +73184,Brazil,2014,Leprosy,Cardiovascular,10.78,3.98,4.59,61+,Male,540370,97.96,1.37,5.96,Therapy,21890.0,Yes,58.85,2653.0,6.56,23221.0,0.88,32.19 +73185,South Korea,2017,Hepatitis,Cardiovascular,1.96,7.36,5.1,61+,Other,192259,58.95,2.91,6.63,Medication,35047.0,No,97.86,600.0,9.64,82927.0,0.53,39.03 +73187,Canada,2006,Dengue,Genetic,5.48,5.28,1.37,36-60,Other,711000,56.41,4.69,3.07,Therapy,19928.0,Yes,64.4,881.0,1.37,95667.0,0.76,32.9 +73188,Mexico,2006,Cancer,Neurological,12.41,1.49,6.66,19-35,Female,944211,65.94,2.01,0.88,Vaccination,19817.0,Yes,62.39,2067.0,4.28,39768.0,0.58,29.84 +73190,Brazil,2019,COVID-19,Chronic,2.44,13.78,4.0,61+,Female,994639,84.26,4.66,9.55,Therapy,12094.0,No,64.48,1154.0,9.71,59314.0,0.65,76.22 +73192,Italy,2012,Cholera,Autoimmune,2.98,11.41,3.03,19-35,Female,521450,68.5,2.67,6.79,Surgery,12271.0,Yes,98.21,240.0,5.19,8423.0,0.77,80.72 +73194,UK,2023,Cancer,Viral,18.07,4.67,1.42,36-60,Female,10094,82.86,3.47,6.11,Medication,4784.0,Yes,87.23,3330.0,6.55,59948.0,0.66,56.17 +73195,UK,2016,Influenza,Viral,2.13,11.16,5.24,19-35,Female,125796,70.24,4.71,8.77,Medication,44293.0,Yes,60.6,4544.0,7.06,49031.0,0.9,65.92 +73200,Turkey,2024,Malaria,Respiratory,0.44,3.48,2.32,0-18,Other,954224,96.21,0.55,9.77,Therapy,14743.0,No,53.07,3210.0,4.81,68512.0,0.77,85.74 +73212,Nigeria,2023,Rabies,Cardiovascular,4.93,12.59,9.91,61+,Male,107221,53.32,3.47,3.3,Medication,33217.0,Yes,81.57,4003.0,8.77,82033.0,0.59,44.64 +73216,South Korea,2002,Leprosy,Metabolic,3.06,2.44,4.19,19-35,Female,248050,68.59,3.58,9.6,Surgery,7763.0,Yes,82.11,3640.0,0.59,80533.0,0.43,88.51 +73217,Japan,2012,Polio,Viral,4.48,5.58,9.27,61+,Female,383952,52.72,4.77,8.92,Therapy,6322.0,Yes,72.79,1529.0,4.58,81204.0,0.67,59.07 +73221,Mexico,2019,Hepatitis,Respiratory,18.38,0.99,0.65,61+,Male,555850,79.81,4.55,1.94,Therapy,28247.0,No,92.58,642.0,4.57,5769.0,0.79,21.83 +73225,South Africa,2017,Rabies,Metabolic,17.77,2.1,3.38,61+,Other,965228,70.43,1.92,5.96,Vaccination,25020.0,Yes,96.57,939.0,2.79,527.0,0.69,79.93 +73228,Mexico,2017,Diabetes,Parasitic,18.73,1.17,4.61,19-35,Female,351800,82.61,3.4,4.24,Vaccination,3411.0,No,64.33,3083.0,4.48,15757.0,0.79,65.24 +73253,South Korea,2005,Zika,Respiratory,10.09,9.75,8.89,19-35,Male,988225,55.38,1.42,1.17,Vaccination,32392.0,No,90.27,3783.0,9.01,43912.0,0.86,52.58 +73255,Japan,2012,Leprosy,Infectious,11.74,5.75,1.86,36-60,Female,965795,71.5,2.72,5.45,Vaccination,27730.0,No,98.34,4296.0,7.02,24658.0,0.57,38.25 +73256,France,2019,Parkinson's Disease,Bacterial,14.79,6.19,5.61,61+,Other,398259,88.61,2.16,2.2,Surgery,4666.0,Yes,50.07,4075.0,6.53,60256.0,0.69,86.12 +73270,Russia,2003,HIV/AIDS,Infectious,4.56,3.56,9.09,61+,Female,266138,86.21,4.52,9.16,Vaccination,8362.0,Yes,86.5,173.0,3.2,49745.0,0.62,88.19 +73272,India,2000,Influenza,Infectious,6.69,4.96,0.96,0-18,Female,287600,59.63,0.55,4.68,Medication,8808.0,No,83.67,203.0,3.33,85153.0,0.47,79.03 +73274,Indonesia,2001,HIV/AIDS,Bacterial,16.95,5.19,1.2,61+,Female,170429,56.93,0.77,2.39,Therapy,24634.0,No,51.88,2421.0,2.21,8304.0,0.72,78.0 +73285,China,2015,Malaria,Genetic,15.14,12.86,2.46,36-60,Female,679603,98.44,4.29,5.37,Vaccination,7235.0,Yes,78.85,175.0,2.12,37026.0,0.51,33.35 +73286,Russia,2017,Leprosy,Metabolic,13.15,2.33,4.66,61+,Male,754769,95.14,1.28,2.98,Surgery,16491.0,Yes,88.92,3323.0,3.98,4373.0,0.64,33.49 +73291,South Korea,2012,Ebola,Genetic,4.81,1.59,2.44,19-35,Male,713410,62.84,3.19,5.98,Therapy,9682.0,No,83.22,3548.0,7.82,59369.0,0.72,50.2 +73292,Turkey,2003,Diabetes,Parasitic,8.04,0.75,7.2,0-18,Female,440875,87.25,2.25,1.27,Therapy,7171.0,No,64.44,2133.0,9.08,88464.0,0.6,45.37 +73303,Germany,2000,Cancer,Metabolic,2.32,1.86,9.82,19-35,Female,924819,89.29,1.63,7.92,Surgery,25868.0,Yes,57.5,2719.0,8.15,93757.0,0.54,28.84 +73306,India,2001,Tuberculosis,Autoimmune,18.2,3.03,1.46,0-18,Other,608442,68.26,1.44,5.7,Therapy,30230.0,No,67.52,1658.0,1.61,79774.0,0.69,80.45 +73309,USA,2009,Measles,Chronic,13.62,7.66,9.95,19-35,Male,504695,70.48,4.66,9.22,Vaccination,39045.0,No,81.99,3430.0,6.18,16578.0,0.87,24.09 +73315,USA,2014,Zika,Chronic,13.18,3.53,6.25,61+,Female,393551,87.01,4.66,7.41,Vaccination,46433.0,Yes,80.04,2078.0,1.49,51699.0,0.76,83.27 +73321,Saudi Arabia,2016,Hypertension,Infectious,9.28,4.98,9.19,0-18,Female,409657,94.67,1.57,2.1,Therapy,14632.0,No,67.5,498.0,0.11,93288.0,0.69,48.13 +73325,Australia,2014,Parkinson's Disease,Infectious,11.14,2.0,9.05,61+,Male,498081,60.18,3.11,9.49,Therapy,19967.0,Yes,70.47,604.0,1.4,46532.0,0.62,48.49 +73327,Mexico,2007,Hepatitis,Infectious,11.7,12.41,9.47,36-60,Male,700725,64.33,1.37,4.35,Surgery,35589.0,Yes,92.96,110.0,9.17,9410.0,0.74,22.34 +73329,Russia,2000,COVID-19,Parasitic,2.43,5.29,2.76,36-60,Female,229947,51.12,1.33,8.44,Therapy,8356.0,Yes,64.09,531.0,8.75,91550.0,0.84,54.08 +73334,Nigeria,2017,Zika,Viral,1.22,8.61,9.71,36-60,Female,213866,85.87,2.45,8.18,Medication,7571.0,Yes,63.33,242.0,7.75,28141.0,0.41,88.25 +73335,Brazil,2024,Alzheimer's Disease,Parasitic,14.44,4.44,8.59,36-60,Female,233362,80.07,4.87,3.53,Medication,29006.0,No,86.64,3778.0,2.63,66723.0,0.43,57.96 +73338,Turkey,2013,Hypertension,Chronic,5.69,7.6,1.48,61+,Female,813520,98.63,2.52,1.7,Vaccination,22875.0,Yes,65.92,1280.0,9.47,13043.0,0.44,48.56 +73345,Mexico,2018,Parkinson's Disease,Metabolic,13.26,5.44,5.83,36-60,Male,5024,75.78,0.65,6.81,Therapy,13656.0,Yes,63.32,603.0,3.02,31978.0,0.68,78.55 +73346,Nigeria,2011,HIV/AIDS,Cardiovascular,17.61,12.74,6.16,0-18,Female,329882,53.72,4.84,3.34,Vaccination,39202.0,Yes,88.07,2778.0,9.43,61282.0,0.79,61.79 +73351,India,2015,Alzheimer's Disease,Bacterial,8.08,7.76,7.11,0-18,Male,691141,57.0,1.0,7.26,Vaccination,32122.0,Yes,87.36,367.0,7.18,57229.0,0.84,67.3 +73357,India,2001,Dengue,Autoimmune,19.25,12.39,8.8,36-60,Female,944327,87.63,2.03,4.69,Vaccination,3315.0,Yes,58.01,2089.0,5.09,95305.0,0.52,38.17 +73363,Turkey,2015,Parkinson's Disease,Viral,4.74,11.07,9.8,19-35,Male,801957,72.33,4.47,8.86,Therapy,9671.0,Yes,75.12,991.0,8.77,3544.0,0.57,47.02 +73370,Nigeria,2006,COVID-19,Bacterial,17.91,5.96,6.9,19-35,Female,235931,54.89,1.43,2.69,Therapy,10184.0,No,65.46,1408.0,4.86,63849.0,0.71,83.23 +73374,South Africa,2000,Diabetes,Metabolic,17.65,4.79,3.73,19-35,Female,164071,71.61,2.74,5.37,Surgery,8669.0,Yes,79.49,752.0,4.33,89892.0,0.76,23.85 +73375,Italy,2019,Measles,Viral,16.25,13.11,9.55,36-60,Male,279390,70.54,2.84,1.07,Medication,47047.0,Yes,82.16,758.0,1.63,46103.0,0.84,65.07 +73377,India,2015,Measles,Bacterial,4.57,10.9,5.17,0-18,Other,118119,72.75,4.77,4.23,Therapy,9773.0,No,68.67,3493.0,5.57,5421.0,0.67,46.51 +73381,Indonesia,2013,Dengue,Metabolic,14.17,12.51,2.88,61+,Other,382435,66.28,3.52,0.6,Surgery,5597.0,No,68.68,2805.0,4.18,9601.0,0.86,21.93 +73384,Australia,2023,HIV/AIDS,Autoimmune,5.44,8.67,6.17,36-60,Female,956619,96.42,3.65,6.46,Vaccination,10152.0,Yes,86.76,4760.0,2.21,41007.0,0.83,47.36 +73386,Nigeria,2003,Cancer,Autoimmune,7.28,12.96,3.58,0-18,Female,635087,91.58,4.62,8.99,Surgery,14588.0,Yes,83.91,1034.0,4.65,86419.0,0.48,36.64 +73388,Russia,2000,Malaria,Chronic,9.8,11.6,6.2,61+,Male,573120,73.8,4.66,7.83,Medication,43762.0,No,52.31,607.0,6.53,58936.0,0.62,67.35 +73392,China,2009,Influenza,Metabolic,2.96,14.77,1.16,61+,Female,371667,54.65,1.12,5.71,Surgery,34358.0,Yes,56.24,1329.0,1.51,23893.0,0.83,33.35 +73393,Mexico,2004,Asthma,Respiratory,1.59,6.35,3.17,19-35,Other,470172,86.37,1.45,1.08,Surgery,22175.0,Yes,84.56,1337.0,6.01,59143.0,0.42,23.51 +73411,India,2005,Tuberculosis,Cardiovascular,4.11,7.7,3.85,19-35,Female,311268,52.64,4.68,5.45,Therapy,8784.0,No,89.56,1045.0,1.63,10368.0,0.84,84.75 +73422,China,2012,Malaria,Metabolic,14.18,1.87,4.54,36-60,Female,906717,75.1,2.16,5.87,Surgery,38303.0,No,82.13,3326.0,9.04,40802.0,0.66,27.1 +73425,Brazil,2016,Leprosy,Respiratory,9.42,9.96,5.02,19-35,Other,486611,97.52,4.54,0.83,Vaccination,48884.0,Yes,62.48,4938.0,7.53,50538.0,0.55,20.53 +73430,China,2008,Malaria,Bacterial,0.66,12.54,0.77,36-60,Other,406444,73.63,1.37,7.01,Therapy,16370.0,Yes,80.84,1658.0,9.69,43562.0,0.54,59.75 +73432,Argentina,2018,Measles,Autoimmune,9.43,5.95,5.94,19-35,Male,111454,93.06,0.62,5.18,Medication,13210.0,Yes,93.11,4074.0,4.89,82496.0,0.59,36.84 +73436,Canada,2006,Alzheimer's Disease,Autoimmune,11.0,13.32,0.5,19-35,Female,966810,96.43,4.87,3.47,Surgery,24370.0,Yes,58.19,2151.0,2.85,43217.0,0.52,34.48 +73445,Saudi Arabia,2014,Malaria,Autoimmune,17.67,9.79,1.5,61+,Male,88505,57.45,3.92,2.94,Vaccination,32867.0,Yes,50.17,4390.0,2.03,67993.0,0.61,54.17 +73446,China,2012,Hepatitis,Genetic,7.88,2.34,9.69,0-18,Male,271587,67.31,3.71,8.21,Vaccination,30698.0,Yes,84.13,2037.0,6.31,36332.0,0.44,53.99 +73447,Australia,2012,Measles,Metabolic,19.63,5.26,5.4,0-18,Male,988395,52.14,4.37,6.22,Vaccination,48155.0,No,90.74,4787.0,6.38,46116.0,0.55,25.54 +73451,South Africa,2024,Diabetes,Cardiovascular,14.03,14.96,3.37,19-35,Male,615552,78.9,0.7,7.07,Vaccination,24159.0,Yes,96.99,4325.0,2.85,67332.0,0.82,58.94 +73465,South Africa,2009,Parkinson's Disease,Viral,8.97,10.03,5.55,19-35,Female,946156,97.23,4.09,6.74,Surgery,8301.0,Yes,90.38,3072.0,4.19,39306.0,0.49,78.92 +73467,UK,2010,Ebola,Infectious,2.05,3.33,6.49,19-35,Male,459317,95.93,1.97,2.33,Vaccination,37151.0,Yes,83.85,2199.0,0.57,10877.0,0.84,77.38 +73468,UK,2024,Tuberculosis,Autoimmune,11.94,10.78,9.59,61+,Female,103603,87.41,1.19,8.81,Medication,35130.0,No,56.72,3410.0,8.05,55534.0,0.51,22.16 +73481,Australia,2012,Hepatitis,Respiratory,9.79,11.77,2.12,19-35,Other,498245,59.06,2.92,1.4,Therapy,12108.0,Yes,55.06,407.0,8.2,45503.0,0.54,61.25 +73486,USA,2010,Alzheimer's Disease,Cardiovascular,17.71,0.18,2.81,0-18,Male,853420,58.9,0.71,4.8,Medication,19677.0,Yes,93.13,1696.0,1.81,87019.0,0.63,72.84 +73487,Saudi Arabia,2002,HIV/AIDS,Respiratory,9.82,9.39,7.37,36-60,Female,798837,52.17,1.27,2.22,Vaccination,22768.0,Yes,73.57,3778.0,0.88,44232.0,0.6,68.02 +73501,China,2001,Leprosy,Metabolic,0.58,9.18,9.63,0-18,Male,540713,68.47,4.72,8.03,Surgery,46561.0,No,54.16,441.0,5.15,6929.0,0.74,79.24 +73502,Mexico,2022,Tuberculosis,Genetic,9.81,2.71,3.21,36-60,Female,464689,80.95,4.57,7.43,Vaccination,2335.0,Yes,85.66,3172.0,3.82,88290.0,0.83,66.11 +73513,Brazil,2020,Hypertension,Neurological,16.8,7.36,4.66,19-35,Male,237962,50.87,2.09,5.9,Medication,44457.0,Yes,85.04,119.0,6.57,33987.0,0.6,87.87 +73516,Turkey,2005,Cancer,Viral,1.51,4.54,7.77,36-60,Other,348718,73.47,3.16,7.72,Vaccination,18898.0,No,79.32,2767.0,3.76,26683.0,0.62,76.1 +73518,India,2011,Zika,Respiratory,17.5,9.02,9.14,0-18,Male,163615,73.4,4.43,6.6,Vaccination,3873.0,Yes,60.26,1689.0,6.74,42163.0,0.57,70.91 +73521,Argentina,2006,HIV/AIDS,Viral,17.89,9.15,6.77,19-35,Female,254532,75.85,4.75,8.62,Medication,7885.0,Yes,79.47,4287.0,6.99,32601.0,0.85,45.3 +73527,Saudi Arabia,2004,COVID-19,Genetic,3.23,3.48,5.54,36-60,Male,78125,65.62,2.06,4.89,Medication,27265.0,No,96.09,1935.0,9.95,8941.0,0.9,45.21 +73531,Mexico,2001,Rabies,Parasitic,13.23,7.0,0.12,0-18,Other,546398,78.09,4.1,4.42,Therapy,16563.0,No,98.49,3019.0,7.39,26843.0,0.81,78.41 +73532,Australia,2007,Measles,Chronic,14.58,7.01,5.7,36-60,Female,966021,87.58,3.02,1.65,Therapy,49057.0,Yes,73.14,4902.0,4.47,6244.0,0.69,82.64 +73533,Brazil,2002,Polio,Respiratory,5.03,2.14,5.14,61+,Male,548083,81.67,3.8,9.63,Vaccination,11260.0,No,70.65,1150.0,5.26,32644.0,0.89,59.95 +73537,Indonesia,2015,COVID-19,Metabolic,18.38,13.51,5.15,19-35,Male,593163,61.63,2.29,8.81,Surgery,6519.0,No,85.24,4305.0,7.43,89881.0,0.66,71.19 +73541,Italy,2001,Ebola,Respiratory,9.44,5.76,9.33,61+,Male,825071,70.62,2.79,6.88,Vaccination,3913.0,No,75.11,3993.0,9.34,77082.0,0.64,42.82 +73542,Saudi Arabia,2017,Asthma,Neurological,9.26,6.07,5.08,0-18,Other,765217,75.24,2.29,1.98,Medication,32932.0,Yes,78.93,1428.0,7.33,68150.0,0.42,53.55 +73546,Turkey,2010,COVID-19,Bacterial,10.06,2.07,0.65,61+,Other,337742,61.83,3.94,3.02,Vaccination,23013.0,No,76.75,1577.0,2.01,33300.0,0.67,45.14 +73548,Brazil,2001,Dengue,Viral,15.02,2.48,1.15,61+,Female,918727,91.95,1.85,9.85,Vaccination,22083.0,Yes,69.08,190.0,4.13,26511.0,0.78,49.49 +73555,Saudi Arabia,2018,Hypertension,Parasitic,7.77,8.34,0.57,61+,Other,674847,96.25,4.87,8.41,Therapy,27187.0,Yes,79.51,1679.0,6.48,45495.0,0.87,84.69 +73558,Brazil,2012,Dengue,Viral,0.42,6.78,5.28,19-35,Female,726930,79.0,1.59,8.06,Medication,44344.0,Yes,58.52,3860.0,8.17,11080.0,0.74,73.89 +73561,China,2015,Tuberculosis,Autoimmune,12.14,12.38,8.7,0-18,Male,291110,93.66,2.77,9.97,Therapy,21017.0,No,85.5,2138.0,7.09,12090.0,0.86,67.44 +73564,South Korea,2000,Zika,Bacterial,19.49,13.17,0.97,36-60,Male,356986,56.8,2.06,8.68,Surgery,5022.0,Yes,78.29,3403.0,4.37,31528.0,0.7,75.61 +73565,USA,2017,COVID-19,Cardiovascular,9.04,8.82,4.34,61+,Female,527997,82.52,3.38,2.92,Vaccination,952.0,Yes,53.24,1029.0,2.48,23421.0,0.88,77.74 +73569,Indonesia,2002,Leprosy,Genetic,11.77,3.6,3.12,61+,Female,748387,57.07,4.96,9.21,Medication,47202.0,No,51.62,4797.0,9.17,30880.0,0.47,26.92 +73578,India,2005,Measles,Chronic,12.68,6.47,7.95,61+,Male,583169,72.02,3.58,6.81,Vaccination,13980.0,Yes,95.42,1207.0,3.48,77715.0,0.78,71.45 +73579,Canada,2024,HIV/AIDS,Cardiovascular,16.16,5.96,6.78,36-60,Male,756707,68.69,4.54,6.62,Surgery,383.0,Yes,82.98,3862.0,2.55,38312.0,0.75,62.65 +73584,Germany,2016,Dengue,Parasitic,19.93,9.01,5.75,36-60,Male,150839,57.92,2.89,2.57,Therapy,48761.0,No,71.36,4184.0,8.07,48030.0,0.56,56.62 +73591,Brazil,2016,Hepatitis,Viral,18.74,8.35,8.22,19-35,Male,336444,82.86,3.99,1.36,Therapy,12533.0,Yes,76.07,4516.0,3.78,22184.0,0.57,57.75 +73593,USA,2023,Alzheimer's Disease,Cardiovascular,7.2,8.94,8.97,19-35,Female,334092,96.18,1.98,8.65,Vaccination,11404.0,No,96.41,4196.0,4.44,35039.0,0.62,27.33 +73607,UK,2011,Cancer,Genetic,2.41,3.9,0.37,19-35,Male,724383,86.91,1.05,2.39,Medication,12501.0,No,56.61,2446.0,8.15,85108.0,0.56,29.2 +73609,UK,2010,Rabies,Infectious,18.36,11.21,3.99,0-18,Male,973573,78.08,4.0,4.51,Medication,3013.0,Yes,51.83,1010.0,6.76,77056.0,0.46,28.66 +73610,Mexico,2013,Influenza,Infectious,16.17,5.95,3.2,61+,Male,180216,82.11,4.75,5.6,Vaccination,29796.0,No,76.37,1106.0,0.67,63809.0,0.59,47.52 +73613,Mexico,2020,Hypertension,Genetic,6.82,13.46,8.63,0-18,Male,415473,53.41,0.94,2.39,Vaccination,14979.0,Yes,78.2,726.0,0.87,40517.0,0.7,38.51 +73614,France,2003,Leprosy,Parasitic,19.22,11.75,6.44,19-35,Female,652182,60.46,1.39,4.02,Medication,47320.0,Yes,76.28,154.0,2.37,2996.0,0.59,41.02 +73617,Russia,2011,Ebola,Viral,0.72,10.25,4.31,0-18,Male,4653,64.78,2.24,5.01,Medication,48316.0,No,73.64,1228.0,4.14,92280.0,0.71,23.86 +73621,UK,2014,Asthma,Parasitic,8.25,9.82,5.12,36-60,Male,955828,51.56,2.11,3.44,Surgery,38972.0,Yes,82.41,107.0,4.64,45521.0,0.76,88.2 +73633,South Africa,2010,Asthma,Respiratory,5.5,0.95,1.6,19-35,Female,85081,81.78,4.54,7.05,Surgery,48755.0,No,59.74,4745.0,5.91,80330.0,0.44,82.05 +73635,Australia,2014,Hepatitis,Infectious,1.03,6.41,1.99,61+,Other,918350,75.49,0.95,4.23,Medication,6961.0,No,57.71,2957.0,3.56,1528.0,0.48,34.17 +73637,Russia,2010,Measles,Genetic,6.32,11.74,2.91,19-35,Male,37506,56.28,1.78,4.44,Vaccination,29660.0,No,84.12,2224.0,3.85,51900.0,0.69,33.93 +73642,Russia,2015,Leprosy,Infectious,12.11,1.13,0.16,61+,Other,953774,67.66,3.24,9.25,Medication,42663.0,No,94.35,500.0,0.7,90637.0,0.45,69.4 +73645,South Korea,2019,Rabies,Genetic,10.05,11.73,1.2,61+,Other,406170,58.41,1.52,1.23,Vaccination,16943.0,Yes,50.77,2265.0,9.56,94917.0,0.74,77.62 +73647,Argentina,2008,Asthma,Respiratory,8.93,4.74,6.7,0-18,Male,168697,63.56,2.43,9.48,Medication,14889.0,Yes,54.9,4898.0,4.68,6912.0,0.69,31.61 +73649,Canada,2008,Parkinson's Disease,Parasitic,12.95,2.75,6.07,19-35,Male,769901,53.56,3.15,4.32,Vaccination,44153.0,No,66.65,1964.0,1.1,99197.0,0.68,66.26 +73658,India,2010,Asthma,Parasitic,0.95,1.56,7.48,19-35,Other,845683,60.35,1.66,6.79,Vaccination,21099.0,Yes,58.46,4333.0,9.37,58903.0,0.46,45.97 +73667,France,2017,Cholera,Viral,3.97,11.49,6.19,19-35,Male,205403,96.05,4.33,4.08,Medication,43808.0,Yes,96.28,1341.0,8.05,6455.0,0.45,54.86 +73668,USA,2024,Alzheimer's Disease,Autoimmune,3.42,1.23,9.4,36-60,Female,636629,56.82,4.96,6.85,Vaccination,21076.0,Yes,80.14,2399.0,6.01,58811.0,0.55,61.04 +73682,Russia,2021,Ebola,Chronic,7.28,0.44,6.96,61+,Female,464649,90.88,4.73,2.81,Medication,35606.0,Yes,53.55,4179.0,1.87,87202.0,0.75,89.98 +73683,Japan,2001,Ebola,Genetic,17.9,4.96,1.72,0-18,Male,873694,85.36,3.19,4.03,Vaccination,17762.0,No,70.79,3031.0,6.55,69198.0,0.64,66.9 +73686,USA,2012,Zika,Autoimmune,16.75,2.64,2.7,61+,Other,545557,56.55,3.78,5.66,Therapy,29933.0,No,50.13,2777.0,1.51,53551.0,0.66,66.28 +73690,Argentina,2007,Zika,Viral,14.83,11.04,3.81,0-18,Female,130327,58.81,1.12,0.99,Vaccination,36669.0,Yes,59.89,1345.0,5.19,14058.0,0.43,68.1 +73691,USA,2014,Hypertension,Neurological,14.0,7.67,7.6,19-35,Female,422870,84.54,4.11,9.75,Therapy,29748.0,No,92.33,2039.0,7.17,12829.0,0.54,29.96 +73694,Russia,2018,Alzheimer's Disease,Metabolic,5.34,10.2,9.78,36-60,Male,696074,57.28,3.84,8.26,Therapy,33217.0,Yes,84.28,3119.0,9.76,60131.0,0.83,42.15 +73699,Canada,2011,Leprosy,Metabolic,9.25,9.0,9.62,61+,Other,36872,93.67,4.34,1.5,Medication,41602.0,No,96.49,1420.0,6.1,40302.0,0.41,73.22 +73705,USA,2014,COVID-19,Respiratory,1.64,6.78,4.59,19-35,Female,4953,55.26,2.45,7.33,Therapy,44042.0,No,51.83,4540.0,9.31,93813.0,0.51,62.88 +73707,South Korea,2008,Leprosy,Neurological,12.75,0.39,9.16,0-18,Male,771330,91.66,3.03,8.0,Medication,23457.0,No,53.65,295.0,2.4,20303.0,0.44,36.34 +73709,South Korea,2022,Diabetes,Viral,0.81,10.23,8.02,61+,Male,691733,99.59,2.46,6.85,Medication,36416.0,Yes,97.49,2704.0,9.56,54878.0,0.62,36.43 +73713,Saudi Arabia,2018,Influenza,Neurological,8.6,4.2,5.87,36-60,Female,838657,52.32,3.88,1.92,Medication,46881.0,No,95.14,1809.0,7.08,15004.0,0.43,68.15 +73726,China,2024,Cholera,Parasitic,18.4,14.5,0.37,19-35,Male,711513,98.58,4.11,1.45,Vaccination,37656.0,No,86.64,3693.0,9.58,20881.0,0.43,62.25 +73728,Russia,2022,Cholera,Respiratory,15.07,1.76,6.58,61+,Other,184689,56.28,3.68,9.14,Medication,39737.0,No,67.28,562.0,4.74,3141.0,0.51,63.34 +73732,Nigeria,2022,Hepatitis,Cardiovascular,5.12,7.81,0.81,0-18,Female,663946,76.57,0.92,7.55,Surgery,35700.0,No,78.18,2142.0,5.69,27372.0,0.54,66.72 +73737,Germany,2014,Ebola,Parasitic,3.22,13.52,0.96,36-60,Male,155473,78.64,3.1,4.24,Medication,7126.0,Yes,69.74,4808.0,7.82,10901.0,0.49,44.07 +73740,Indonesia,2017,Zika,Infectious,14.78,9.5,4.17,36-60,Other,123272,63.42,1.3,4.84,Surgery,28342.0,No,82.02,1043.0,9.2,79637.0,0.69,20.5 +73752,Germany,2011,Leprosy,Genetic,2.57,12.47,8.68,36-60,Male,329289,85.85,3.82,4.9,Medication,43964.0,Yes,65.81,4879.0,5.27,81545.0,0.53,24.23 +73753,UK,2015,Hypertension,Autoimmune,11.88,4.47,9.27,61+,Other,265598,82.47,4.34,8.41,Therapy,33679.0,Yes,67.72,2585.0,6.71,42578.0,0.84,32.38 +73756,UK,2009,Malaria,Respiratory,15.2,13.94,7.81,0-18,Male,541531,85.39,1.88,2.7,Medication,15859.0,No,86.37,3569.0,8.48,9983.0,0.42,58.65 +73764,South Africa,2004,Hypertension,Cardiovascular,2.42,13.74,5.0,19-35,Other,313002,86.15,0.75,6.61,Therapy,17569.0,Yes,91.09,1421.0,4.82,4538.0,0.48,86.63 +73787,Germany,2001,Asthma,Chronic,9.6,2.98,4.69,19-35,Male,504599,70.78,3.66,7.97,Medication,1615.0,No,55.61,4336.0,1.08,8431.0,0.83,23.51 +73792,South Korea,2000,Cholera,Genetic,8.53,1.29,3.52,19-35,Male,716306,91.74,1.98,2.29,Therapy,37757.0,No,95.85,2679.0,4.98,87105.0,0.83,83.46 +73800,Australia,2018,Ebola,Cardiovascular,18.79,1.73,8.87,19-35,Male,220105,85.37,3.43,3.1,Surgery,21265.0,No,59.86,2885.0,2.94,75607.0,0.48,89.93 +73802,UK,2002,Asthma,Genetic,17.58,6.07,8.55,0-18,Female,358446,74.75,2.65,7.04,Therapy,33936.0,No,96.3,4797.0,6.01,16515.0,0.7,88.61 +73803,Canada,2007,Rabies,Metabolic,9.19,9.54,7.53,19-35,Other,617799,83.53,3.01,9.75,Surgery,18985.0,Yes,68.43,4198.0,5.81,45829.0,0.77,30.06 +73804,Mexico,2022,Influenza,Cardiovascular,4.33,10.41,8.72,36-60,Female,225000,63.03,1.81,6.01,Medication,23022.0,No,94.72,1576.0,1.51,91690.0,0.88,47.42 +73811,Japan,2009,Cholera,Infectious,6.77,4.11,2.11,0-18,Other,916392,89.07,4.01,4.83,Therapy,15784.0,No,93.84,1282.0,7.23,81253.0,0.86,88.48 +73813,Turkey,2010,Asthma,Chronic,14.07,1.36,3.42,19-35,Other,893544,96.85,3.23,1.2,Medication,23480.0,Yes,55.29,3363.0,1.86,62606.0,0.65,75.06 +73817,Russia,2012,Leprosy,Cardiovascular,7.99,10.29,7.81,19-35,Other,423401,81.03,2.48,1.87,Therapy,35795.0,Yes,86.21,3816.0,7.86,37029.0,0.67,74.82 +73820,Argentina,2019,Asthma,Viral,13.45,5.97,1.18,36-60,Male,446925,93.86,3.05,1.35,Therapy,26127.0,Yes,75.49,3107.0,4.42,94590.0,0.51,24.75 +73822,South Africa,2012,Rabies,Parasitic,15.61,4.93,6.38,36-60,Other,895362,87.36,0.98,1.69,Therapy,45933.0,No,90.08,812.0,7.99,28199.0,0.9,83.27 +73826,UK,2003,Parkinson's Disease,Respiratory,6.78,4.05,4.68,19-35,Male,74988,81.6,1.3,0.83,Surgery,5874.0,Yes,90.48,4226.0,4.68,60756.0,0.46,39.19 +73843,Australia,2009,Cancer,Infectious,11.69,12.3,1.72,61+,Other,585455,93.65,3.27,5.06,Therapy,21726.0,Yes,62.18,1031.0,1.89,77621.0,0.78,89.26 +73844,Australia,2000,Diabetes,Infectious,12.53,7.86,1.26,19-35,Other,887761,75.42,1.8,8.55,Surgery,28270.0,Yes,53.67,4713.0,4.07,80467.0,0.78,59.76 +73851,India,2018,Leprosy,Chronic,16.29,8.2,8.18,61+,Other,790517,71.05,3.0,4.59,Medication,14826.0,No,90.41,1768.0,9.18,77316.0,0.58,63.51 +73860,Turkey,2014,Ebola,Chronic,4.41,6.24,1.86,19-35,Female,847763,68.2,2.69,6.52,Therapy,31779.0,Yes,83.11,1145.0,4.71,89015.0,0.9,36.62 +73863,Saudi Arabia,2023,Measles,Infectious,19.74,12.21,9.98,0-18,Other,163781,69.53,1.3,3.81,Surgery,32236.0,Yes,56.8,1224.0,9.68,56761.0,0.55,78.25 +73866,Saudi Arabia,2012,Malaria,Metabolic,17.34,3.81,8.8,36-60,Male,890339,70.14,4.44,6.2,Therapy,33250.0,No,73.99,869.0,3.4,52423.0,0.57,35.21 +73870,Italy,2005,Diabetes,Bacterial,10.96,14.85,1.25,19-35,Female,130830,74.63,1.45,1.57,Medication,16540.0,No,76.53,488.0,6.73,28190.0,0.42,47.45 +73873,South Korea,2022,Measles,Bacterial,3.94,1.35,6.08,36-60,Other,942771,90.93,0.79,2.5,Medication,35202.0,No,55.21,2916.0,2.26,73128.0,0.69,71.34 +73874,Saudi Arabia,2010,Zika,Metabolic,4.32,8.74,0.68,61+,Male,528325,58.71,2.68,8.48,Therapy,6233.0,No,84.23,1311.0,5.46,67500.0,0.7,20.93 +73875,Argentina,2023,Polio,Bacterial,8.59,12.77,7.27,36-60,Other,899422,64.24,0.78,9.14,Surgery,26894.0,No,92.97,4867.0,9.9,66543.0,0.52,49.9 +73877,India,2022,Parkinson's Disease,Metabolic,2.51,8.03,3.12,36-60,Other,660635,93.24,2.84,3.05,Medication,40135.0,No,64.21,2067.0,0.77,65622.0,0.58,58.36 +73879,South Africa,2006,Polio,Bacterial,3.8,8.53,7.64,0-18,Female,661719,94.46,2.08,4.61,Surgery,45138.0,Yes,70.73,3075.0,9.87,74901.0,0.54,33.56 +73882,Canada,2015,Hepatitis,Viral,18.51,14.46,0.12,19-35,Female,428823,78.24,4.32,7.27,Surgery,18411.0,Yes,79.43,1528.0,9.23,27743.0,0.9,61.5 +73884,Brazil,2005,COVID-19,Bacterial,14.31,1.74,6.16,0-18,Female,948443,65.51,4.34,6.52,Surgery,34400.0,Yes,65.47,1080.0,4.67,29107.0,0.64,62.6 +73885,Mexico,2008,Hepatitis,Autoimmune,15.57,5.73,2.81,61+,Male,101310,58.39,0.61,6.94,Therapy,39051.0,No,51.16,907.0,0.59,91338.0,0.7,48.91 +73886,Turkey,2016,COVID-19,Cardiovascular,13.41,5.41,8.54,0-18,Other,604405,66.15,4.58,8.52,Surgery,47832.0,No,74.25,3700.0,9.95,14819.0,0.84,47.11 +73887,Italy,2024,Dengue,Neurological,2.62,4.51,2.99,19-35,Female,873125,58.05,2.38,5.69,Vaccination,37620.0,Yes,63.69,403.0,8.15,78287.0,0.88,84.27 +73905,Indonesia,2008,Polio,Viral,17.22,0.71,2.56,36-60,Other,11206,76.84,3.92,5.86,Medication,36041.0,Yes,75.55,4605.0,2.94,93989.0,0.67,57.42 +73910,Mexico,2020,COVID-19,Genetic,3.09,5.42,4.93,36-60,Male,157155,74.27,1.36,5.01,Surgery,8335.0,No,95.75,2600.0,2.6,41562.0,0.44,75.03 +73915,Canada,2010,Zika,Cardiovascular,6.87,11.13,9.83,61+,Female,853666,51.52,4.6,7.25,Therapy,43524.0,Yes,60.36,1605.0,0.43,23046.0,0.87,86.47 +73933,Russia,2009,Dengue,Parasitic,8.9,3.37,0.23,19-35,Female,600014,64.77,0.99,5.91,Vaccination,40991.0,Yes,51.21,4856.0,9.49,75881.0,0.54,37.65 +73934,Turkey,2011,Alzheimer's Disease,Chronic,9.64,4.96,6.88,19-35,Male,805148,73.23,4.86,1.75,Therapy,43554.0,No,70.32,1060.0,6.44,98967.0,0.84,67.29 +73942,China,2000,Ebola,Bacterial,18.67,8.34,4.26,36-60,Female,775002,75.89,2.02,9.02,Medication,39120.0,Yes,92.75,2675.0,0.9,86969.0,0.89,29.07 +73947,China,2006,Diabetes,Neurological,17.93,9.68,7.93,36-60,Other,723534,76.77,4.26,6.66,Therapy,46869.0,No,98.69,3526.0,6.8,36962.0,0.68,84.54 +73950,South Africa,2007,Ebola,Cardiovascular,19.24,8.49,8.93,0-18,Female,317348,53.6,4.41,1.0,Therapy,31696.0,No,79.63,4438.0,7.61,37700.0,0.86,81.26 +73952,UK,2008,Parkinson's Disease,Bacterial,13.48,11.15,4.87,0-18,Female,778280,66.66,1.98,1.16,Therapy,43171.0,Yes,56.09,4727.0,1.13,55182.0,0.73,47.95 +73961,Japan,2022,Cancer,Autoimmune,3.96,1.85,2.77,36-60,Other,80790,74.17,4.57,5.81,Medication,1380.0,No,76.07,3406.0,4.85,53381.0,0.63,59.02 +73965,South Africa,2019,HIV/AIDS,Infectious,19.52,11.88,7.79,61+,Female,623638,78.05,0.76,7.99,Surgery,17009.0,No,81.98,2744.0,1.83,57055.0,0.52,40.45 +73967,Russia,2002,COVID-19,Parasitic,17.66,4.06,0.45,36-60,Other,97788,60.7,3.3,0.96,Vaccination,14879.0,No,91.05,3842.0,1.76,70588.0,0.59,38.75 +73972,Australia,2024,Zika,Genetic,11.92,1.6,6.36,19-35,Male,229142,55.14,1.87,4.23,Therapy,14633.0,No,58.62,2454.0,2.28,50757.0,0.41,40.99 +73980,Brazil,2014,Parkinson's Disease,Bacterial,12.68,3.36,0.21,0-18,Male,638413,77.11,2.18,8.8,Medication,29559.0,No,71.89,1644.0,9.7,38553.0,0.7,87.49 +73982,Italy,2018,Leprosy,Genetic,14.16,4.8,2.65,36-60,Female,830164,53.46,3.31,0.78,Medication,27211.0,Yes,72.06,3545.0,8.56,97760.0,0.71,37.94 +73983,Mexico,2013,Diabetes,Neurological,12.88,6.57,9.17,36-60,Female,739938,70.58,3.73,9.69,Medication,34440.0,No,51.25,3377.0,7.12,98794.0,0.63,72.17 +73986,UK,2006,COVID-19,Infectious,4.12,2.01,7.66,0-18,Female,650144,93.36,0.58,7.91,Therapy,1159.0,Yes,59.67,22.0,8.21,7965.0,0.88,48.89 +73990,Saudi Arabia,2002,Ebola,Neurological,19.5,10.1,5.28,36-60,Male,150802,65.11,0.98,9.24,Medication,17883.0,Yes,79.98,1570.0,3.68,34376.0,0.68,40.62 +73997,Canada,2008,Tuberculosis,Cardiovascular,10.17,1.15,1.33,19-35,Female,280688,69.37,1.68,0.98,Vaccination,32309.0,Yes,97.14,3925.0,6.9,69653.0,0.41,63.61 +73998,Argentina,2017,Asthma,Metabolic,14.58,7.86,3.25,19-35,Male,646320,89.31,1.51,9.48,Therapy,9715.0,Yes,56.6,3600.0,4.16,87937.0,0.78,30.92 +74010,Italy,2006,HIV/AIDS,Respiratory,16.48,6.96,4.71,19-35,Female,710186,59.25,3.12,6.25,Medication,8658.0,Yes,62.87,4289.0,0.21,60338.0,0.45,50.98 +74024,Russia,2007,Rabies,Viral,6.91,1.88,2.26,36-60,Other,632108,74.64,3.08,1.24,Vaccination,7353.0,No,70.29,567.0,9.93,4733.0,0.54,33.94 +74031,China,2005,Dengue,Parasitic,0.16,6.97,6.37,0-18,Male,723991,99.97,1.26,7.24,Medication,16694.0,No,79.76,4494.0,6.24,26982.0,0.47,29.39 +74032,Turkey,2007,Leprosy,Respiratory,8.73,8.58,0.34,19-35,Other,467079,79.16,1.7,1.27,Vaccination,45753.0,No,64.5,2471.0,8.86,44541.0,0.85,23.66 +74040,Russia,2012,Leprosy,Parasitic,17.51,12.0,0.7,36-60,Female,104002,68.92,3.89,2.26,Medication,8644.0,Yes,88.79,4354.0,3.43,92300.0,0.87,72.93 +74043,Italy,2020,Tuberculosis,Infectious,19.73,0.54,8.17,0-18,Other,262364,66.0,2.04,9.45,Surgery,9012.0,No,75.56,3190.0,4.17,74248.0,0.67,76.85 +74051,Turkey,2015,Diabetes,Infectious,13.4,1.29,3.63,61+,Male,900744,89.41,3.81,6.47,Therapy,30849.0,No,82.79,4814.0,6.16,55463.0,0.8,73.55 +74054,India,2002,Hypertension,Genetic,3.13,11.15,3.49,61+,Female,463333,87.23,1.78,3.8,Medication,9069.0,Yes,74.74,2462.0,3.37,41479.0,0.75,54.02 +74056,China,2007,Hypertension,Parasitic,1.01,3.41,9.83,61+,Male,371057,63.13,4.76,1.52,Surgery,15584.0,No,67.96,4847.0,8.75,57114.0,0.74,77.21 +74074,South Africa,2016,Leprosy,Parasitic,5.8,6.56,9.89,19-35,Other,642627,85.03,1.8,7.61,Therapy,3282.0,No,93.39,4590.0,3.17,23089.0,0.53,23.95 +74093,UK,2003,Zika,Cardiovascular,10.44,11.98,7.62,36-60,Male,835587,96.25,0.92,5.84,Vaccination,39288.0,No,77.5,1252.0,4.19,8900.0,0.68,24.18 +74094,South Korea,2016,Polio,Bacterial,8.0,10.94,7.02,0-18,Male,981915,64.15,3.09,7.09,Medication,5570.0,Yes,70.93,2284.0,0.36,81289.0,0.46,80.65 +74095,Saudi Arabia,2015,Rabies,Genetic,11.7,13.87,9.14,61+,Female,627249,56.44,0.92,3.69,Medication,2167.0,Yes,94.77,812.0,3.14,12275.0,0.51,25.1 +74103,Nigeria,2016,Malaria,Viral,18.99,2.1,5.63,0-18,Other,52618,86.5,4.12,2.18,Medication,36133.0,Yes,63.08,485.0,0.81,92350.0,0.69,27.83 +74132,Italy,2005,Measles,Genetic,11.91,10.16,7.44,36-60,Female,392313,65.68,1.29,8.52,Vaccination,19152.0,No,84.19,662.0,8.45,26273.0,0.88,87.27 +74137,Russia,2023,Hypertension,Infectious,16.94,6.47,8.37,61+,Female,877690,52.53,2.68,6.1,Therapy,3221.0,No,64.05,1073.0,0.9,60731.0,0.79,48.12 +74144,Brazil,2024,Leprosy,Genetic,10.12,2.36,3.42,36-60,Male,710477,55.7,3.53,5.0,Medication,22815.0,Yes,78.37,1329.0,4.72,96679.0,0.78,65.31 +74149,Saudi Arabia,2017,Asthma,Chronic,3.2,5.2,0.24,19-35,Other,9916,75.42,1.35,8.14,Vaccination,22320.0,No,86.92,3906.0,3.31,34941.0,0.67,38.65 +74158,Argentina,2016,Cholera,Infectious,15.18,8.84,1.64,61+,Female,992500,84.03,0.61,4.07,Surgery,4004.0,Yes,74.77,554.0,1.68,60411.0,0.89,31.91 +74168,Argentina,2005,Parkinson's Disease,Genetic,18.65,10.64,8.61,61+,Male,89294,53.15,3.3,7.06,Medication,35431.0,Yes,75.1,148.0,4.6,98763.0,0.5,68.97 +74169,Mexico,2005,Malaria,Infectious,0.99,10.31,9.75,61+,Male,712543,85.06,2.03,4.69,Therapy,41337.0,Yes,68.98,2295.0,1.57,50136.0,0.41,20.01 +74170,Russia,2024,Zika,Viral,11.99,9.5,5.2,36-60,Other,429950,61.72,1.21,5.97,Surgery,27067.0,Yes,60.67,1690.0,2.54,54046.0,0.67,88.69 +74171,South Africa,2001,Malaria,Cardiovascular,17.84,11.6,0.4,61+,Female,224168,82.42,1.49,3.34,Medication,33940.0,Yes,92.22,4725.0,1.82,61909.0,0.41,64.17 +74175,China,2018,Malaria,Autoimmune,10.02,7.58,3.7,0-18,Male,303397,76.39,0.59,4.37,Surgery,24117.0,Yes,63.21,3293.0,7.82,86937.0,0.77,41.17 +74185,France,2014,Cancer,Parasitic,3.04,3.34,9.84,36-60,Female,940018,78.06,4.21,7.35,Medication,1034.0,Yes,81.53,79.0,3.01,68396.0,0.68,48.01 +74188,Italy,2009,Polio,Metabolic,9.51,4.03,7.85,36-60,Female,176867,57.73,4.91,3.03,Medication,41493.0,No,52.57,1503.0,5.84,25639.0,0.89,47.04 +74191,Russia,2008,Dengue,Parasitic,16.95,4.27,9.26,36-60,Female,701734,69.03,2.91,3.16,Therapy,44467.0,No,92.6,3301.0,8.86,39686.0,0.86,73.16 +74199,South Korea,2012,Influenza,Bacterial,19.47,12.1,1.22,61+,Female,499224,50.39,2.41,3.54,Medication,5880.0,Yes,84.83,592.0,4.89,60235.0,0.62,54.97 +74208,France,2002,Polio,Chronic,17.04,11.58,6.22,19-35,Other,182187,88.52,1.15,3.82,Vaccination,25420.0,Yes,71.84,1395.0,7.33,14905.0,0.59,51.99 +74218,Indonesia,2011,Parkinson's Disease,Respiratory,0.87,6.69,8.01,36-60,Other,636447,86.87,1.93,9.98,Therapy,48053.0,No,73.22,1741.0,3.86,14754.0,0.74,77.86 +74221,Russia,2017,Asthma,Bacterial,19.47,14.04,6.54,36-60,Other,593077,65.91,1.31,8.52,Surgery,6418.0,Yes,53.31,2837.0,3.95,80294.0,0.47,36.38 +74223,Indonesia,2013,Polio,Neurological,2.5,10.2,5.39,61+,Male,512598,74.88,2.04,4.6,Therapy,23415.0,No,97.84,2555.0,9.37,74880.0,0.49,82.22 +74224,Japan,2005,Cholera,Cardiovascular,2.48,6.7,4.98,61+,Other,325040,98.65,1.08,8.18,Therapy,39699.0,No,56.39,526.0,2.47,82482.0,0.46,55.03 +74231,Australia,2003,Tuberculosis,Parasitic,17.7,8.75,6.45,0-18,Other,952314,52.92,4.99,4.83,Medication,20939.0,No,67.81,818.0,0.05,9883.0,0.8,21.77 +74237,UK,2018,Tuberculosis,Genetic,9.38,9.06,5.72,36-60,Other,243393,53.29,4.39,5.0,Surgery,572.0,No,79.02,2082.0,2.55,74975.0,0.85,29.89 +74242,Argentina,2000,Influenza,Infectious,19.91,1.58,6.82,36-60,Female,734549,95.51,0.61,9.9,Therapy,40481.0,Yes,93.91,1567.0,7.43,36164.0,0.7,36.73 +74248,Russia,2007,Tuberculosis,Bacterial,10.56,4.45,0.43,0-18,Male,996299,59.31,0.95,1.36,Medication,39066.0,Yes,74.83,3775.0,4.52,42680.0,0.56,74.46 +74252,Brazil,2024,Parkinson's Disease,Respiratory,9.73,7.92,4.17,19-35,Male,343764,71.08,0.78,4.16,Therapy,26565.0,Yes,50.48,913.0,6.04,19248.0,0.54,89.49 +74253,Argentina,2013,Parkinson's Disease,Autoimmune,8.73,7.58,8.08,36-60,Male,799452,60.23,4.53,9.03,Surgery,41924.0,No,62.47,4650.0,1.01,5709.0,0.43,72.59 +74256,Brazil,2012,Malaria,Metabolic,19.97,8.72,2.21,61+,Female,471653,93.91,1.68,9.66,Vaccination,17898.0,Yes,55.23,4357.0,2.44,53639.0,0.75,53.98 +74274,Brazil,2015,HIV/AIDS,Infectious,5.25,13.98,1.05,36-60,Female,938350,94.54,2.21,2.58,Medication,43062.0,Yes,86.83,1307.0,3.93,32809.0,0.69,39.67 +74284,Brazil,2016,HIV/AIDS,Chronic,19.2,7.29,3.82,19-35,Male,96571,96.34,2.12,0.6,Therapy,42947.0,Yes,80.08,984.0,6.94,36411.0,0.67,20.13 +74290,Indonesia,2004,Cancer,Viral,8.1,10.91,7.19,0-18,Male,193059,90.88,3.41,7.76,Vaccination,40013.0,No,60.62,596.0,9.94,11351.0,0.84,67.94 +74292,Mexico,2022,Alzheimer's Disease,Neurological,15.8,11.96,9.32,19-35,Female,779389,54.26,0.6,6.4,Vaccination,8584.0,No,93.75,1421.0,0.5,71399.0,0.58,28.7 +74293,Nigeria,2023,Dengue,Cardiovascular,17.59,8.12,0.19,36-60,Other,868547,78.07,3.87,4.84,Surgery,44319.0,Yes,92.62,4924.0,0.25,86806.0,0.62,30.07 +74299,Russia,2001,Influenza,Genetic,12.97,2.13,9.91,61+,Male,594059,63.36,2.17,7.12,Medication,5089.0,Yes,96.22,1151.0,0.96,59197.0,0.65,35.91 +74301,UK,2002,Asthma,Neurological,9.59,4.86,3.37,61+,Male,585976,99.54,3.48,1.67,Surgery,19977.0,Yes,58.41,3115.0,8.25,38119.0,0.79,29.11 +74318,Saudi Arabia,2015,Measles,Infectious,19.27,5.81,3.88,36-60,Male,35644,93.16,4.24,1.99,Vaccination,30584.0,Yes,93.98,163.0,8.36,87022.0,0.62,35.79 +74327,Mexico,2005,COVID-19,Chronic,19.38,12.99,2.83,19-35,Male,487143,88.09,3.08,8.33,Therapy,21404.0,No,61.05,2590.0,5.28,43712.0,0.68,89.78 +74330,Russia,2002,Measles,Chronic,7.06,6.49,3.19,61+,Other,80379,76.28,0.65,6.37,Surgery,11282.0,No,64.1,2974.0,2.31,17154.0,0.51,22.83 +74340,Saudi Arabia,2007,Hypertension,Autoimmune,14.48,10.93,2.18,19-35,Other,302580,68.76,3.61,3.83,Surgery,32651.0,Yes,87.0,4700.0,5.63,27094.0,0.73,48.74 +74343,Germany,2011,Hypertension,Chronic,12.36,3.15,6.65,36-60,Male,124253,99.98,1.42,7.44,Medication,37012.0,No,92.21,974.0,1.94,34676.0,0.62,21.15 +74347,South Africa,2024,Leprosy,Chronic,18.29,8.17,1.47,61+,Female,467123,62.68,2.0,5.94,Surgery,20065.0,Yes,66.62,300.0,4.42,96702.0,0.79,24.36 +74348,Mexico,2018,Influenza,Chronic,14.92,4.2,2.56,19-35,Male,997830,98.28,2.03,4.24,Vaccination,14074.0,No,69.71,3738.0,2.71,52491.0,0.78,55.88 +74353,Canada,2019,Cancer,Chronic,0.72,7.95,5.39,19-35,Other,659402,70.34,3.29,2.37,Surgery,3533.0,No,96.78,3404.0,1.57,95464.0,0.69,64.63 +74354,USA,2005,Cancer,Metabolic,11.52,5.99,5.9,61+,Male,376357,58.73,3.22,0.8,Therapy,32990.0,No,82.88,4079.0,3.97,46035.0,0.86,46.26 +74355,Saudi Arabia,2005,Influenza,Parasitic,11.24,7.29,4.9,19-35,Other,811020,85.02,1.66,6.68,Therapy,10212.0,Yes,74.05,1387.0,5.7,58915.0,0.68,63.31 +74358,Saudi Arabia,2002,COVID-19,Parasitic,13.8,7.78,1.79,19-35,Female,25593,70.36,0.83,7.67,Vaccination,30946.0,No,58.46,1496.0,4.08,82958.0,0.61,83.88 +74361,Mexico,2004,Zika,Metabolic,12.86,9.77,5.75,0-18,Male,59892,93.22,0.84,2.94,Surgery,33138.0,No,95.86,1154.0,3.2,98286.0,0.58,59.69 +74366,UK,2022,Dengue,Parasitic,2.45,4.15,8.19,61+,Male,980779,56.9,2.82,9.87,Therapy,38677.0,Yes,67.17,3317.0,6.9,662.0,0.83,84.45 +74370,Nigeria,2005,Malaria,Respiratory,9.54,8.92,7.22,19-35,Other,965189,74.84,4.26,9.23,Surgery,39456.0,Yes,98.18,211.0,4.62,61120.0,0.59,66.13 +74371,China,2020,Measles,Bacterial,13.29,12.84,4.54,61+,Male,190536,61.56,1.23,1.7,Therapy,15284.0,Yes,81.89,1611.0,6.77,87318.0,0.86,35.44 +74373,South Africa,2007,HIV/AIDS,Cardiovascular,17.75,1.11,7.58,36-60,Female,423644,63.3,0.89,2.45,Vaccination,741.0,Yes,74.92,2795.0,8.38,64681.0,0.77,39.09 +74374,Australia,2015,Measles,Chronic,1.73,11.56,2.47,61+,Other,379110,58.29,4.98,4.56,Surgery,29166.0,Yes,75.49,473.0,2.78,88734.0,0.41,57.97 +74376,South Africa,2018,Dengue,Parasitic,7.96,14.37,7.06,0-18,Female,290693,92.63,3.87,3.24,Medication,18589.0,No,80.36,43.0,9.96,12533.0,0.67,59.26 +74378,Argentina,2003,Ebola,Respiratory,7.78,9.92,2.16,19-35,Female,981735,79.36,2.08,8.07,Therapy,8071.0,Yes,63.27,2087.0,6.24,8639.0,0.5,52.78 +74379,India,2000,Hepatitis,Respiratory,13.32,7.04,9.31,61+,Female,963945,57.69,4.7,3.71,Vaccination,5586.0,No,72.57,4891.0,3.62,56838.0,0.46,64.44 +74384,Saudi Arabia,2019,Zika,Viral,9.4,13.03,5.07,0-18,Other,534043,65.35,2.14,3.63,Surgery,35838.0,Yes,87.49,4987.0,0.61,79488.0,0.45,72.0 +74385,South Africa,2004,Leprosy,Cardiovascular,19.73,6.25,0.1,19-35,Other,797794,70.24,3.9,9.38,Therapy,27891.0,Yes,78.44,582.0,9.35,33307.0,0.81,25.37 +74389,Argentina,2013,Leprosy,Metabolic,15.74,1.3,8.86,19-35,Other,219968,82.86,2.32,5.85,Therapy,1388.0,No,83.91,304.0,1.31,94639.0,0.85,62.51 +74390,South Africa,2017,Polio,Chronic,0.9,9.42,0.85,36-60,Other,656954,99.39,4.09,4.54,Vaccination,3184.0,No,65.75,4189.0,7.8,1438.0,0.63,88.33 +74397,Italy,2003,Measles,Genetic,15.56,7.25,1.19,61+,Male,19218,83.6,0.96,2.15,Vaccination,27988.0,Yes,87.45,2512.0,4.3,38087.0,0.54,58.02 +74405,Mexico,2015,Cholera,Chronic,13.54,8.37,1.61,61+,Female,234558,93.3,4.63,9.0,Surgery,9120.0,No,56.73,1574.0,5.15,3290.0,0.51,51.77 +74407,Turkey,2003,Rabies,Bacterial,17.51,13.78,7.37,19-35,Male,229403,76.99,4.73,2.19,Surgery,31473.0,No,81.63,2629.0,4.23,77887.0,0.77,36.2 +74414,Germany,2006,Diabetes,Infectious,4.31,13.25,9.05,61+,Male,715901,92.07,4.19,8.49,Medication,31091.0,No,81.76,1137.0,1.96,90070.0,0.49,74.87 +74416,Canada,2017,Tuberculosis,Infectious,6.53,5.03,2.58,36-60,Other,676357,68.3,2.93,6.21,Vaccination,3931.0,No,70.12,1192.0,2.69,86270.0,0.87,31.85 +74422,Canada,2014,Malaria,Viral,17.98,11.99,6.18,0-18,Female,152604,95.27,0.98,4.79,Therapy,36533.0,Yes,96.22,4759.0,9.67,47201.0,0.62,77.1 +74426,Saudi Arabia,2003,COVID-19,Parasitic,1.43,11.87,2.1,0-18,Male,45792,64.59,2.91,4.88,Surgery,45873.0,No,85.77,2310.0,6.88,70594.0,0.73,56.33 +74428,Mexico,2020,Cholera,Chronic,1.55,7.15,3.61,0-18,Female,750944,65.91,0.55,5.15,Surgery,24366.0,No,85.98,2108.0,5.52,55373.0,0.48,59.28 +74429,South Korea,2001,Cancer,Bacterial,17.07,0.13,5.72,36-60,Other,387641,87.92,4.87,8.2,Therapy,8375.0,Yes,63.73,2810.0,4.85,32729.0,0.87,50.36 +74430,India,2017,Polio,Bacterial,5.8,8.37,4.94,36-60,Female,338871,50.5,3.44,2.97,Medication,49766.0,No,90.88,3039.0,1.46,33251.0,0.54,82.0 +74431,Canada,2024,Zika,Parasitic,5.14,4.71,5.75,0-18,Other,644492,75.73,3.95,6.88,Medication,21207.0,No,91.74,87.0,8.8,72158.0,0.82,26.12 +74434,Turkey,2003,HIV/AIDS,Genetic,7.89,0.41,3.07,19-35,Female,220314,98.22,2.97,8.1,Vaccination,16401.0,No,65.38,2432.0,5.86,50720.0,0.54,33.47 +74435,Germany,2020,Hypertension,Infectious,5.18,11.02,7.35,36-60,Female,28967,91.58,1.37,7.34,Medication,13958.0,No,98.92,4635.0,6.24,25772.0,0.78,71.59 +74440,China,2003,HIV/AIDS,Cardiovascular,4.24,6.58,8.97,36-60,Other,790739,67.47,3.26,7.63,Vaccination,14909.0,Yes,67.73,3080.0,8.48,45986.0,0.51,73.76 +74441,Argentina,2014,Cholera,Metabolic,14.63,3.24,2.02,0-18,Male,274977,52.8,2.64,7.38,Vaccination,35060.0,Yes,81.85,938.0,1.61,92909.0,0.76,44.14 +74443,France,2024,Cancer,Bacterial,18.39,1.07,5.49,19-35,Other,568578,79.21,2.2,3.32,Surgery,8104.0,No,57.31,1863.0,5.01,28383.0,0.62,77.62 +74456,Nigeria,2002,Alzheimer's Disease,Neurological,10.55,10.55,5.58,61+,Female,321794,79.96,4.6,1.1,Vaccination,45199.0,No,97.96,2446.0,3.81,33439.0,0.52,45.13 +74468,Germany,2005,Parkinson's Disease,Infectious,15.85,9.46,4.23,36-60,Other,871776,96.85,0.71,1.94,Vaccination,27400.0,No,73.14,2821.0,4.86,77500.0,0.72,75.07 +74469,Australia,2022,Polio,Bacterial,13.57,14.18,2.72,61+,Male,931351,63.81,2.23,4.41,Vaccination,6548.0,No,97.56,3877.0,7.17,34945.0,0.48,24.69 +74472,Argentina,2012,Hypertension,Chronic,14.13,3.79,0.15,61+,Male,326019,92.27,2.3,6.99,Medication,33553.0,Yes,75.46,4222.0,9.18,1814.0,0.8,46.16 +74488,South Africa,2021,Polio,Respiratory,0.67,2.22,8.89,36-60,Female,96069,52.03,1.42,1.2,Vaccination,18498.0,Yes,96.79,3497.0,0.55,66656.0,0.47,53.49 +74498,Canada,2018,Zika,Bacterial,17.43,5.76,0.31,61+,Female,918837,60.12,2.75,7.65,Vaccination,21037.0,No,65.69,1780.0,3.45,23393.0,0.66,28.86 +74500,Brazil,2024,Dengue,Infectious,19.0,12.95,6.74,36-60,Male,905940,60.15,0.9,9.27,Medication,27308.0,No,85.13,3180.0,7.23,37262.0,0.46,61.67 +74502,Canada,2022,COVID-19,Cardiovascular,9.92,14.05,5.92,61+,Male,769930,61.48,3.87,8.42,Surgery,12032.0,Yes,54.27,1126.0,5.87,36957.0,0.43,72.16 +74506,France,2013,Ebola,Autoimmune,12.87,7.7,2.6,0-18,Other,66700,72.46,4.57,7.13,Medication,4779.0,No,70.05,4875.0,6.23,86808.0,0.56,39.05 +74509,Canada,2019,COVID-19,Respiratory,0.23,14.1,7.12,0-18,Female,942452,69.57,3.11,8.45,Vaccination,11437.0,Yes,75.29,3066.0,6.43,52958.0,0.54,30.51 +74512,Saudi Arabia,2003,Leprosy,Metabolic,9.98,9.25,1.56,0-18,Male,895696,87.07,2.57,8.05,Medication,17920.0,Yes,90.52,1872.0,8.35,61021.0,0.69,88.27 +74514,Nigeria,2020,Diabetes,Bacterial,5.98,14.11,6.66,19-35,Female,829849,99.49,3.31,1.64,Medication,25839.0,No,80.97,2593.0,4.84,16592.0,0.58,22.15 +74521,Saudi Arabia,2017,Influenza,Parasitic,3.42,0.13,5.57,0-18,Female,224836,61.27,2.14,9.45,Surgery,17605.0,Yes,91.36,981.0,6.95,7587.0,0.7,58.5 +74526,China,2002,Measles,Viral,5.34,1.83,2.63,61+,Other,245045,77.78,3.81,9.94,Vaccination,33417.0,No,86.14,4077.0,1.51,2879.0,0.45,58.98 +74531,Germany,2024,Tuberculosis,Genetic,19.97,1.32,9.03,61+,Male,950802,57.61,2.65,5.96,Surgery,30272.0,Yes,78.43,952.0,1.43,40754.0,0.79,50.72 +74533,France,2009,Alzheimer's Disease,Metabolic,7.51,10.75,8.64,19-35,Female,406392,64.29,3.23,3.44,Vaccination,23357.0,No,97.14,3410.0,6.01,62237.0,0.68,44.84 +74535,France,2016,Diabetes,Genetic,7.8,14.11,7.14,61+,Female,28805,83.28,4.18,8.8,Medication,29907.0,No,95.02,1841.0,9.3,44212.0,0.53,78.67 +74540,Russia,2014,Ebola,Infectious,17.7,2.81,6.47,36-60,Female,348150,96.78,2.45,4.98,Vaccination,12832.0,No,68.53,1279.0,3.55,12767.0,0.74,56.75 +74545,South Africa,2003,Malaria,Chronic,13.54,8.83,2.27,36-60,Other,712464,56.05,4.93,4.74,Therapy,38849.0,Yes,87.47,4362.0,1.01,41994.0,0.86,76.91 +74548,Australia,2009,Cancer,Cardiovascular,12.41,13.4,5.02,61+,Other,147229,55.03,1.93,2.46,Medication,31016.0,Yes,95.19,4227.0,4.47,46392.0,0.51,45.38 +74554,China,2001,Dengue,Genetic,13.02,1.76,8.21,0-18,Male,45987,76.49,3.63,2.37,Medication,29179.0,Yes,67.7,3629.0,0.19,62278.0,0.64,74.29 +74557,South Korea,2013,Leprosy,Chronic,9.97,1.69,5.72,0-18,Other,553708,61.66,2.04,2.71,Surgery,19455.0,No,55.78,2335.0,0.63,95980.0,0.52,79.72 +74565,Indonesia,2018,Hepatitis,Neurological,16.07,1.82,0.57,36-60,Female,769257,61.23,1.0,8.69,Vaccination,25293.0,No,55.38,1553.0,5.17,2607.0,0.77,52.8 +74571,Australia,2001,Hypertension,Genetic,2.87,7.2,5.71,19-35,Female,897329,87.33,4.01,1.71,Surgery,45607.0,No,72.33,2114.0,1.0,10872.0,0.5,84.67 +74572,China,2015,Tuberculosis,Bacterial,5.34,6.09,8.1,36-60,Female,969457,99.13,0.52,4.58,Vaccination,32633.0,No,61.29,2358.0,1.55,83303.0,0.72,76.55 +74573,UK,2019,Rabies,Infectious,3.48,5.62,6.94,0-18,Female,821420,84.2,4.2,7.4,Surgery,24601.0,Yes,59.82,3432.0,3.8,53716.0,0.83,43.11 +74579,Argentina,2020,Cancer,Cardiovascular,11.66,8.75,2.04,0-18,Other,556418,97.61,2.41,4.64,Vaccination,9292.0,Yes,94.12,3257.0,1.79,37044.0,0.55,53.04 +74590,Mexico,2006,Cancer,Cardiovascular,12.3,10.1,3.23,36-60,Female,38494,76.47,1.64,8.23,Vaccination,47833.0,No,67.17,3884.0,8.34,77918.0,0.66,78.22 +74594,South Africa,2024,Alzheimer's Disease,Neurological,10.11,9.93,8.54,36-60,Male,756498,54.59,3.1,9.48,Vaccination,38030.0,Yes,50.98,289.0,9.1,54361.0,0.45,86.62 +74595,Canada,2006,Polio,Chronic,12.86,3.44,3.12,36-60,Other,851307,50.72,4.15,8.06,Surgery,20565.0,No,69.03,3338.0,7.66,46026.0,0.43,59.3 +74598,Italy,2021,Leprosy,Bacterial,15.69,14.04,1.33,0-18,Female,2101,75.29,4.24,8.05,Therapy,9875.0,No,90.56,4054.0,0.62,6755.0,0.82,22.76 +74602,Indonesia,2007,Rabies,Chronic,10.64,2.92,9.21,36-60,Male,993590,72.43,4.52,8.06,Medication,12426.0,Yes,67.27,4769.0,4.76,33764.0,0.89,36.07 +74609,USA,2021,Rabies,Cardiovascular,3.59,12.94,0.31,19-35,Other,584511,82.23,3.12,9.03,Surgery,35690.0,No,82.88,2071.0,2.08,54294.0,0.87,28.66 +74611,France,2018,Diabetes,Viral,17.67,5.93,1.05,19-35,Female,638215,85.59,3.95,7.23,Vaccination,46328.0,Yes,97.09,4269.0,7.96,890.0,0.68,59.69 +74618,Italy,2005,Measles,Genetic,3.15,11.22,3.2,61+,Other,219953,70.96,1.53,2.13,Medication,25080.0,Yes,59.73,3834.0,6.43,44225.0,0.53,76.53 +74623,South Africa,2020,Rabies,Infectious,12.52,11.09,6.28,61+,Female,635851,92.54,1.29,9.76,Medication,1785.0,Yes,57.86,1134.0,4.54,68467.0,0.67,42.01 +74626,South Korea,2014,Hepatitis,Metabolic,1.52,3.15,0.68,19-35,Other,781829,87.57,4.7,9.73,Vaccination,5654.0,Yes,73.62,3943.0,7.31,59163.0,0.64,24.29 +74629,Brazil,2005,Rabies,Infectious,13.55,9.4,7.6,0-18,Other,382983,64.62,1.45,6.94,Therapy,35676.0,Yes,90.1,4159.0,5.95,20196.0,0.41,86.56 +74638,France,2003,Ebola,Infectious,17.86,8.07,5.87,0-18,Female,374355,83.52,3.77,9.35,Vaccination,47594.0,No,86.76,1443.0,9.16,13791.0,0.82,50.75 +74645,South Korea,2000,Dengue,Parasitic,12.65,11.36,3.41,0-18,Other,111795,58.54,3.0,3.79,Surgery,35788.0,Yes,71.23,3200.0,1.57,53707.0,0.52,84.88 +74648,Germany,2019,Parkinson's Disease,Respiratory,6.84,4.13,3.69,19-35,Male,382416,65.04,2.72,6.59,Therapy,34703.0,No,92.0,360.0,8.95,91774.0,0.61,20.2 +74655,Turkey,2017,Tuberculosis,Genetic,17.43,14.12,7.65,61+,Female,612849,52.98,0.67,9.45,Medication,24405.0,Yes,84.53,810.0,1.22,74724.0,0.46,22.37 +74660,Russia,2006,Alzheimer's Disease,Parasitic,9.49,0.73,0.42,19-35,Female,194357,92.59,2.28,3.4,Vaccination,202.0,Yes,59.06,3208.0,7.33,13821.0,0.79,22.04 +74662,Indonesia,2019,Leprosy,Cardiovascular,11.17,12.11,9.81,19-35,Male,381370,81.35,1.8,2.43,Surgery,18573.0,No,75.27,3151.0,1.3,68393.0,0.6,45.98 +74670,South Korea,2016,Parkinson's Disease,Autoimmune,6.7,10.87,7.57,61+,Male,962413,71.16,2.17,7.0,Medication,9221.0,Yes,56.88,4694.0,0.77,70136.0,0.53,39.6 +74672,India,2004,Measles,Respiratory,1.88,11.13,3.02,19-35,Male,149275,64.47,1.82,7.11,Surgery,23560.0,Yes,56.56,3659.0,0.95,11432.0,0.82,54.22 +74673,Argentina,2002,Influenza,Metabolic,11.55,13.49,0.82,61+,Other,193196,61.3,1.49,5.04,Therapy,29280.0,No,94.6,2849.0,5.68,97060.0,0.53,50.95 +74678,Mexico,2019,Diabetes,Neurological,5.18,12.72,1.95,19-35,Male,542699,73.57,2.76,2.4,Vaccination,14808.0,No,78.84,4639.0,2.47,15360.0,0.44,70.79 +74682,Nigeria,2008,Hepatitis,Respiratory,3.38,10.09,3.1,19-35,Female,863240,78.82,4.03,5.11,Medication,33989.0,No,92.53,4719.0,5.93,50510.0,0.47,37.81 +74692,Mexico,2022,Hypertension,Genetic,3.39,13.51,5.83,0-18,Other,355922,92.14,2.75,0.57,Therapy,14691.0,Yes,65.97,918.0,1.32,85717.0,0.44,72.29 +74694,Russia,2000,Tuberculosis,Genetic,1.05,0.95,5.92,61+,Female,975113,52.78,4.76,3.95,Medication,12005.0,No,85.02,410.0,2.63,15206.0,0.76,36.32 +74696,Australia,2010,Hypertension,Viral,14.23,6.25,7.82,19-35,Male,753650,55.71,2.1,9.09,Surgery,46639.0,Yes,82.22,4877.0,1.91,52515.0,0.86,58.57 +74700,Saudi Arabia,2004,Parkinson's Disease,Viral,18.95,2.83,0.29,0-18,Female,272473,62.44,2.02,2.49,Vaccination,6401.0,No,97.19,4696.0,8.63,99887.0,0.75,22.2 +74706,India,2002,Cancer,Bacterial,11.65,12.09,7.51,61+,Other,136521,60.66,4.96,9.38,Therapy,11901.0,No,68.58,1207.0,2.39,42225.0,0.77,48.28 +74707,Italy,2019,Influenza,Cardiovascular,12.99,12.58,0.72,19-35,Other,58463,83.28,3.97,0.54,Medication,297.0,No,51.58,1853.0,5.97,8206.0,0.55,28.99 +74708,India,2003,Measles,Bacterial,4.57,4.6,8.18,36-60,Female,676032,96.17,1.7,5.37,Vaccination,43273.0,Yes,63.21,1344.0,9.41,51988.0,0.66,72.55 +74709,Indonesia,2023,Hepatitis,Parasitic,18.52,8.17,9.27,19-35,Other,56183,68.92,3.76,7.96,Therapy,14520.0,Yes,62.22,4747.0,4.69,82408.0,0.64,82.73 +74714,Japan,2007,Cancer,Viral,11.28,11.82,9.37,61+,Other,711215,93.05,4.2,5.57,Surgery,34566.0,No,98.65,1802.0,7.84,54124.0,0.63,72.74 +74718,China,2001,Tuberculosis,Viral,7.23,10.8,1.49,36-60,Female,530624,70.19,2.26,9.4,Vaccination,16184.0,No,56.32,3341.0,2.03,52967.0,0.88,27.71 +74720,Germany,2003,Parkinson's Disease,Respiratory,15.96,14.43,5.54,0-18,Male,732473,81.68,2.99,5.19,Medication,28417.0,No,77.91,1537.0,0.62,39949.0,0.47,54.5 +74724,Indonesia,2000,Rabies,Chronic,3.28,0.62,6.03,36-60,Male,219443,96.08,1.05,1.6,Surgery,44359.0,No,98.86,4196.0,9.2,57187.0,0.6,76.56 +74726,Brazil,2013,Hepatitis,Cardiovascular,2.8,8.98,5.04,61+,Other,93034,98.76,2.12,3.73,Therapy,40868.0,Yes,89.65,2499.0,1.19,93154.0,0.72,31.53 +74730,Saudi Arabia,2014,Measles,Genetic,19.48,13.89,8.02,19-35,Female,557344,59.93,2.54,9.15,Vaccination,37222.0,Yes,52.29,999.0,4.6,26981.0,0.58,60.38 +74736,Mexico,2021,Malaria,Bacterial,3.62,9.27,2.74,0-18,Male,909343,89.02,1.18,6.12,Surgery,10215.0,No,72.05,4340.0,0.29,23802.0,0.68,87.11 +74740,Japan,2006,COVID-19,Metabolic,16.25,12.65,4.45,36-60,Other,999212,84.57,3.3,5.35,Therapy,40688.0,No,66.78,4663.0,4.33,63689.0,0.83,38.52 +74744,Germany,2019,Hepatitis,Autoimmune,16.27,12.9,5.5,0-18,Male,428569,63.74,3.71,3.35,Therapy,18655.0,Yes,80.49,2274.0,7.77,64610.0,0.6,40.77 +74763,South Africa,2010,Parkinson's Disease,Bacterial,13.41,8.33,7.16,19-35,Other,954617,86.02,0.56,0.88,Therapy,17215.0,No,85.04,882.0,5.27,61595.0,0.74,80.38 +74770,USA,2020,Measles,Bacterial,16.26,6.66,0.75,19-35,Female,779052,79.75,3.11,3.6,Vaccination,1894.0,Yes,93.28,3690.0,6.42,50101.0,0.52,73.6 +74771,South Africa,2007,Asthma,Bacterial,6.75,13.14,1.22,61+,Female,651855,86.03,2.1,7.46,Vaccination,10237.0,No,62.36,3926.0,4.15,78318.0,0.82,80.05 +74779,Japan,2006,Rabies,Parasitic,4.62,11.53,8.66,19-35,Other,315223,63.08,1.57,2.63,Therapy,38238.0,No,87.36,4820.0,6.53,6658.0,0.68,40.67 +74781,China,2004,Asthma,Chronic,5.47,10.34,4.26,19-35,Male,229674,68.64,1.98,1.84,Therapy,7447.0,No,88.4,3159.0,4.45,92218.0,0.65,79.37 +74786,South Korea,2023,Tuberculosis,Bacterial,18.74,6.08,9.52,19-35,Other,641521,70.49,1.37,7.99,Vaccination,36871.0,No,61.18,3337.0,7.46,92071.0,0.81,66.14 +74787,China,2004,Influenza,Viral,19.01,6.25,1.65,36-60,Other,111892,83.56,0.98,2.77,Therapy,36619.0,Yes,56.4,1586.0,4.65,52960.0,0.89,20.79 +74790,South Africa,2014,Hepatitis,Cardiovascular,1.77,11.28,2.01,36-60,Male,321046,79.88,0.5,1.88,Surgery,8659.0,No,51.26,4254.0,9.44,61864.0,0.74,58.43 +74791,Japan,2006,COVID-19,Autoimmune,10.5,13.51,8.43,61+,Male,308726,92.48,2.84,9.52,Vaccination,3000.0,No,95.36,3951.0,4.3,44069.0,0.7,56.95 +74793,Russia,2003,Diabetes,Respiratory,7.5,6.08,1.55,19-35,Male,324132,96.35,2.25,6.56,Medication,31622.0,Yes,58.42,121.0,6.64,10449.0,0.61,81.99 +74794,Germany,2001,Cholera,Neurological,1.83,14.84,3.17,61+,Other,935306,53.43,3.56,1.73,Surgery,45464.0,Yes,86.13,2723.0,1.62,67894.0,0.62,62.34 +74795,Argentina,2022,Alzheimer's Disease,Cardiovascular,2.26,11.02,6.69,19-35,Other,281727,83.53,4.29,8.71,Therapy,39594.0,No,95.39,2991.0,2.46,35114.0,0.61,84.49 +74798,India,2007,Dengue,Parasitic,11.65,4.66,3.3,61+,Male,328039,63.01,3.72,6.82,Medication,1874.0,Yes,57.69,4008.0,9.53,11361.0,0.84,59.07 +74799,Nigeria,2014,Cancer,Genetic,7.9,3.19,2.13,36-60,Other,459874,61.79,2.0,5.92,Medication,8050.0,Yes,97.63,4463.0,7.49,57918.0,0.51,48.6 +74806,South Africa,2003,Leprosy,Genetic,18.65,8.91,1.46,19-35,Female,198530,78.21,0.68,6.92,Surgery,45045.0,No,82.05,4906.0,3.53,17079.0,0.71,80.48 +74808,France,2006,Malaria,Bacterial,6.78,2.07,9.29,61+,Male,840824,75.2,1.72,6.98,Vaccination,6193.0,Yes,87.7,768.0,1.99,54730.0,0.69,80.56 +74810,Canada,2023,Cancer,Metabolic,1.38,10.73,8.21,36-60,Other,317562,53.15,2.54,4.75,Surgery,35580.0,No,81.53,4367.0,8.11,83263.0,0.4,36.08 +74838,UK,2004,Alzheimer's Disease,Bacterial,4.12,13.02,5.22,0-18,Female,132591,91.44,2.76,2.96,Medication,39871.0,Yes,66.01,65.0,5.99,32743.0,0.75,75.29 +74846,Turkey,2001,Influenza,Autoimmune,14.91,4.8,5.34,19-35,Female,767781,91.72,1.92,5.37,Vaccination,26905.0,No,86.09,1008.0,7.17,93461.0,0.85,23.76 +74847,China,2016,Cancer,Chronic,8.15,9.76,5.76,19-35,Male,114976,75.34,0.7,9.96,Medication,35946.0,Yes,78.57,4562.0,7.32,45414.0,0.49,70.72 +74855,Germany,2005,Measles,Chronic,6.57,6.99,1.15,0-18,Female,684873,73.3,2.38,7.01,Medication,40847.0,Yes,93.68,1063.0,5.03,68591.0,0.59,66.03 +74861,China,2005,Parkinson's Disease,Respiratory,17.38,3.14,5.14,36-60,Female,449240,84.68,3.5,1.91,Medication,11489.0,Yes,93.02,2536.0,6.16,39643.0,0.48,88.26 +74864,Russia,2023,COVID-19,Neurological,7.78,7.47,3.88,61+,Other,193411,52.92,2.88,5.82,Vaccination,7803.0,No,96.51,3674.0,4.35,37635.0,0.7,82.98 +74869,Germany,2021,Cancer,Infectious,2.06,1.28,8.63,61+,Other,740632,70.22,3.59,9.56,Therapy,47970.0,Yes,51.87,3053.0,7.21,24879.0,0.59,85.26 +74871,Argentina,2009,Zika,Respiratory,2.09,11.34,2.89,61+,Male,71318,74.41,2.25,7.11,Medication,12020.0,Yes,56.7,511.0,6.35,44912.0,0.4,76.7 +74875,Argentina,2018,Ebola,Infectious,5.29,5.79,9.29,61+,Male,550269,86.56,3.86,1.01,Therapy,32877.0,No,82.25,4339.0,1.33,40587.0,0.44,37.54 +74882,Canada,2004,Tuberculosis,Infectious,6.53,3.46,7.07,0-18,Male,63566,79.28,0.82,6.37,Therapy,17808.0,No,71.44,2803.0,6.45,39390.0,0.9,73.15 +74884,South Korea,2006,HIV/AIDS,Neurological,19.99,2.45,0.26,0-18,Male,887497,59.97,3.31,3.25,Vaccination,20624.0,No,63.51,4542.0,2.11,1990.0,0.69,34.65 +74897,Brazil,2017,HIV/AIDS,Autoimmune,18.31,9.2,3.4,0-18,Female,171393,51.96,2.75,1.74,Surgery,1819.0,Yes,69.79,3752.0,6.13,8384.0,0.87,29.41 +74916,Italy,2019,Influenza,Genetic,14.61,3.8,5.71,19-35,Other,665197,83.75,1.3,3.28,Vaccination,44779.0,Yes,58.46,4304.0,1.15,57473.0,0.7,78.92 +74917,Nigeria,2010,Hepatitis,Bacterial,17.49,14.27,3.17,19-35,Male,528970,83.6,2.36,7.65,Therapy,2476.0,Yes,76.97,4270.0,7.23,56088.0,0.59,29.05 +74920,Nigeria,2005,Dengue,Neurological,19.32,13.13,1.93,0-18,Male,148855,50.64,1.87,8.3,Vaccination,2355.0,No,80.37,1124.0,2.47,31447.0,0.75,42.71 +74923,Australia,2023,Parkinson's Disease,Genetic,8.34,2.26,0.36,0-18,Female,588691,98.85,2.59,1.8,Therapy,17398.0,No,56.23,2165.0,1.45,68895.0,0.54,46.09 +74928,Canada,2019,Influenza,Cardiovascular,9.16,5.85,2.37,61+,Female,88941,88.97,4.32,2.82,Vaccination,5810.0,Yes,78.15,181.0,7.0,4568.0,0.79,29.4 +74932,Mexico,2018,Malaria,Bacterial,13.68,1.32,6.24,36-60,Male,873748,78.46,1.98,4.69,Therapy,31257.0,No,82.24,383.0,2.1,87574.0,0.41,64.04 +74936,France,2017,Cancer,Infectious,3.9,9.79,1.53,0-18,Other,301522,86.92,3.66,9.76,Medication,45803.0,Yes,97.8,3526.0,9.0,7342.0,0.47,75.85 +74948,Indonesia,2001,Cholera,Parasitic,11.1,6.91,7.84,61+,Other,626937,68.51,0.51,8.81,Medication,37066.0,Yes,90.09,3344.0,2.24,50012.0,0.54,55.27 +74950,Germany,2015,Malaria,Neurological,7.26,9.88,4.32,36-60,Female,406907,92.01,0.6,6.5,Therapy,22350.0,No,80.56,1673.0,4.93,95065.0,0.64,68.93 +74958,China,2017,Hypertension,Bacterial,19.61,8.15,5.4,0-18,Other,128494,76.96,2.67,9.16,Therapy,30393.0,No,56.48,2601.0,2.55,98306.0,0.67,82.69 +74975,Argentina,2000,Asthma,Viral,0.53,11.15,9.3,19-35,Male,412493,58.52,2.04,7.09,Vaccination,31999.0,No,84.23,500.0,5.7,96781.0,0.79,27.56 +74980,Australia,2021,Asthma,Genetic,5.91,8.25,9.93,36-60,Male,52745,66.28,3.4,4.23,Surgery,222.0,Yes,67.06,4235.0,7.02,79903.0,0.87,75.61 +74990,Indonesia,2021,COVID-19,Metabolic,15.22,8.28,5.8,19-35,Other,325528,67.72,2.24,8.31,Surgery,19731.0,No,57.93,4711.0,5.68,69555.0,0.41,60.94 +74991,Brazil,2005,Zika,Genetic,6.89,1.23,0.28,36-60,Female,724595,61.96,4.4,3.1,Surgery,34353.0,Yes,90.66,703.0,5.72,79479.0,0.88,71.43 +74992,USA,2020,Asthma,Autoimmune,13.85,3.02,2.89,36-60,Other,167221,83.73,1.64,5.55,Medication,10880.0,Yes,54.39,1052.0,4.54,19639.0,0.42,42.08 +74993,Australia,2017,Leprosy,Viral,10.25,5.62,6.47,61+,Other,595603,74.74,1.62,0.74,Vaccination,28214.0,No,94.39,4092.0,3.54,32930.0,0.51,57.42 +75002,Turkey,2015,Asthma,Autoimmune,6.01,9.92,7.14,19-35,Other,416592,59.22,4.76,9.87,Vaccination,44223.0,Yes,95.82,1346.0,2.3,48667.0,0.51,23.04 +75007,France,2019,Malaria,Cardiovascular,8.54,3.45,7.91,0-18,Male,794976,87.59,1.08,5.88,Therapy,42136.0,No,66.26,3063.0,2.06,78131.0,0.76,60.42 +75009,China,2020,Zika,Genetic,6.87,6.49,7.92,36-60,Male,516530,59.33,1.91,4.13,Surgery,41628.0,No,93.29,833.0,5.92,20231.0,0.56,28.1 +75027,France,2014,Asthma,Metabolic,2.83,12.52,9.45,61+,Other,600871,64.32,4.31,8.57,Therapy,37836.0,Yes,58.32,4015.0,4.58,89279.0,0.72,61.97 +75028,Japan,2018,Rabies,Bacterial,6.08,10.81,2.83,19-35,Female,271464,96.77,4.54,1.76,Surgery,315.0,No,94.52,2639.0,1.16,36252.0,0.61,71.76 +75037,Turkey,2024,Asthma,Respiratory,17.23,10.14,5.89,61+,Female,133321,79.86,3.37,6.72,Therapy,810.0,No,57.25,1707.0,2.08,7645.0,0.71,50.02 +75044,Nigeria,2023,Hepatitis,Genetic,17.85,3.27,9.61,19-35,Male,273222,69.61,4.04,1.04,Vaccination,17945.0,Yes,62.47,2001.0,8.13,50574.0,0.49,63.17 +75045,South Africa,2018,Malaria,Genetic,6.81,5.06,6.56,19-35,Other,920830,95.3,1.58,3.53,Medication,30044.0,Yes,72.27,3536.0,9.4,10458.0,0.68,28.54 +75046,Australia,2023,HIV/AIDS,Cardiovascular,10.98,12.3,5.58,36-60,Female,546541,86.77,4.32,4.77,Surgery,33855.0,No,86.5,3861.0,2.02,1196.0,0.51,67.8 +75047,UK,2020,Cancer,Cardiovascular,17.73,0.34,5.28,36-60,Male,434334,63.9,2.1,1.53,Vaccination,45015.0,No,64.06,3081.0,4.69,57828.0,0.71,42.2 +75048,China,2008,Cholera,Viral,10.73,13.63,7.03,19-35,Male,224918,84.96,4.72,5.74,Surgery,44113.0,Yes,71.77,916.0,2.33,25979.0,0.42,50.5 +75049,Turkey,2022,Influenza,Respiratory,10.68,7.36,7.66,0-18,Male,434642,57.44,1.36,6.58,Vaccination,44460.0,No,95.46,2478.0,0.04,35386.0,0.8,50.33 +75057,South Africa,2021,Cancer,Autoimmune,15.57,12.97,8.49,0-18,Female,326501,75.75,0.84,5.82,Therapy,18819.0,Yes,98.39,3597.0,0.67,94386.0,0.79,79.59 +75066,Indonesia,2005,Dengue,Metabolic,19.7,8.68,5.52,61+,Female,451304,81.69,3.9,4.28,Surgery,16305.0,No,75.41,2118.0,1.11,14666.0,0.85,74.95 +75084,India,2014,Hepatitis,Autoimmune,9.75,9.53,1.45,61+,Other,579249,66.74,2.64,9.22,Therapy,19124.0,No,87.31,1599.0,5.51,94029.0,0.45,88.66 +75097,Nigeria,2012,Leprosy,Respiratory,8.66,7.82,4.87,19-35,Female,270664,68.9,1.48,3.0,Surgery,28290.0,Yes,96.23,4373.0,4.43,66194.0,0.57,53.12 +75103,UK,2011,Polio,Genetic,4.7,12.59,0.43,36-60,Other,375253,93.34,2.99,8.65,Therapy,44349.0,No,77.83,4558.0,2.27,72007.0,0.66,56.77 +75105,Saudi Arabia,2010,Ebola,Autoimmune,4.74,14.22,0.58,36-60,Male,665130,78.89,2.46,3.89,Medication,28719.0,No,79.45,1912.0,8.0,81345.0,0.46,76.26 +75109,Mexico,2020,Measles,Viral,18.4,10.57,8.54,0-18,Female,169748,67.21,3.74,2.08,Vaccination,47196.0,No,66.1,2837.0,8.76,60525.0,0.83,54.07 +75114,South Korea,2007,Asthma,Infectious,19.82,7.79,2.65,61+,Other,295484,86.53,3.57,5.73,Medication,4212.0,No,76.02,3410.0,8.79,67637.0,0.74,82.48 +75115,UK,2002,Parkinson's Disease,Chronic,8.13,2.73,1.23,19-35,Other,264006,61.17,3.33,7.96,Medication,45474.0,No,93.63,683.0,3.86,82421.0,0.58,63.77 +75116,Indonesia,2023,Zika,Respiratory,13.89,9.08,4.18,19-35,Other,326215,61.44,3.04,3.94,Medication,39440.0,Yes,57.77,869.0,4.69,97654.0,0.59,25.53 +75118,Indonesia,2001,Dengue,Parasitic,8.13,8.6,6.59,0-18,Other,919081,96.8,0.93,4.49,Vaccination,42617.0,Yes,54.89,1602.0,1.21,52960.0,0.73,70.6 +75120,South Africa,2004,Diabetes,Autoimmune,4.63,4.79,1.88,19-35,Male,63576,66.68,0.86,8.43,Surgery,11183.0,No,69.96,291.0,1.43,37585.0,0.54,28.41 +75126,Brazil,2022,Malaria,Infectious,0.94,8.99,6.79,19-35,Female,527925,82.62,1.15,9.71,Vaccination,47026.0,Yes,69.84,582.0,6.16,90145.0,0.8,77.72 +75131,Argentina,2015,Asthma,Cardiovascular,2.34,13.06,5.58,0-18,Female,717049,62.06,3.92,4.84,Vaccination,40225.0,No,57.83,4528.0,5.64,49178.0,0.83,71.78 +75134,Australia,2000,Dengue,Chronic,18.62,6.86,7.41,0-18,Female,598909,95.8,1.58,2.59,Therapy,2837.0,Yes,56.53,2935.0,6.9,21910.0,0.45,88.7 +75137,Mexico,2020,Leprosy,Neurological,17.54,12.43,7.88,19-35,Male,893363,86.51,4.87,8.44,Medication,27183.0,No,60.33,3765.0,8.59,34572.0,0.87,61.79 +75146,India,2007,Diabetes,Cardiovascular,6.27,11.57,8.94,61+,Female,152645,84.95,0.89,3.72,Therapy,16056.0,No,76.6,2842.0,3.25,29250.0,0.87,72.07 +75154,Nigeria,2015,Zika,Neurological,7.65,4.56,5.5,0-18,Female,584426,57.64,4.78,5.82,Surgery,29970.0,Yes,77.85,956.0,1.88,60783.0,0.41,53.12 +75155,Italy,2019,Cholera,Bacterial,1.82,7.12,1.97,61+,Male,450495,64.25,2.53,4.15,Therapy,6359.0,Yes,66.07,2877.0,5.39,79168.0,0.77,33.04 +75156,India,2012,Influenza,Autoimmune,0.42,3.95,2.53,0-18,Male,991718,82.82,4.31,3.73,Vaccination,39097.0,Yes,93.54,447.0,7.26,82485.0,0.62,30.67 +75158,China,2004,Rabies,Bacterial,10.82,7.3,5.35,36-60,Other,196006,62.5,3.96,7.05,Medication,38221.0,No,73.05,1841.0,5.76,41139.0,0.44,88.08 +75163,Turkey,2019,Rabies,Infectious,5.2,2.97,1.17,0-18,Other,870068,72.86,4.94,7.92,Surgery,45803.0,Yes,89.13,1399.0,0.01,76875.0,0.42,35.08 +75165,Germany,2015,Zika,Metabolic,9.2,10.28,8.38,61+,Female,965415,91.94,3.3,8.28,Medication,39247.0,No,78.51,3416.0,9.61,71539.0,0.52,72.8 +75170,Australia,2016,Hepatitis,Genetic,19.17,5.94,1.31,19-35,Other,985825,74.07,1.09,6.73,Medication,42070.0,Yes,97.72,2801.0,2.61,24147.0,0.74,75.48 +75175,Russia,2017,Polio,Parasitic,12.77,0.91,4.04,0-18,Female,746372,92.18,1.3,0.95,Therapy,26337.0,Yes,81.36,4385.0,6.18,70712.0,0.82,26.18 +75178,South Korea,2020,Influenza,Autoimmune,4.56,9.47,6.2,36-60,Male,685089,62.69,3.52,8.21,Medication,46008.0,Yes,70.31,1872.0,1.69,34998.0,0.54,83.47 +75179,Saudi Arabia,2018,Parkinson's Disease,Genetic,19.77,2.14,0.45,36-60,Male,923457,91.16,1.01,8.01,Medication,6433.0,Yes,56.26,49.0,2.88,69004.0,0.61,65.59 +75183,Indonesia,2022,Zika,Parasitic,14.81,7.76,7.83,19-35,Other,591507,67.07,3.14,6.88,Therapy,4895.0,No,52.53,3774.0,1.3,25310.0,0.83,43.44 +75189,Australia,2012,Zika,Chronic,4.34,13.49,1.18,0-18,Male,545283,92.08,2.95,1.33,Surgery,10457.0,Yes,58.94,2311.0,4.83,57192.0,0.66,49.87 +75193,UK,2006,COVID-19,Genetic,19.0,2.42,7.02,61+,Male,817596,74.74,3.89,7.77,Medication,20212.0,Yes,84.5,443.0,9.9,26602.0,0.67,84.73 +75203,Brazil,2023,Hypertension,Cardiovascular,0.7,2.2,7.13,61+,Other,970569,92.01,4.69,8.84,Medication,48101.0,No,76.18,4499.0,9.94,40977.0,0.65,21.16 +75206,South Korea,2005,Rabies,Respiratory,19.7,2.1,4.04,61+,Male,850267,83.77,2.37,5.81,Surgery,20021.0,Yes,71.49,764.0,1.0,99495.0,0.6,49.49 +75207,Argentina,2014,Asthma,Chronic,7.75,10.64,1.02,36-60,Female,999667,59.33,3.46,5.34,Vaccination,48891.0,Yes,83.39,1922.0,2.2,20744.0,0.87,33.07 +75212,UK,2012,Parkinson's Disease,Genetic,12.57,0.55,3.9,0-18,Male,497614,57.3,3.78,8.15,Therapy,27211.0,No,72.99,2459.0,2.67,35893.0,0.86,58.76 +75214,Turkey,2003,Parkinson's Disease,Chronic,12.6,9.18,5.55,19-35,Other,718925,72.7,4.83,7.89,Vaccination,33922.0,No,85.61,1326.0,5.75,11855.0,0.9,59.57 +75223,France,2019,Cancer,Bacterial,18.05,12.32,5.87,19-35,Female,439690,68.16,0.84,8.37,Therapy,36129.0,No,66.19,2116.0,3.53,50014.0,0.83,87.62 +75225,USA,2000,Tuberculosis,Neurological,18.92,2.28,8.68,19-35,Female,127586,50.37,1.11,2.3,Vaccination,13674.0,Yes,74.45,712.0,3.16,65409.0,0.74,78.89 +75228,Nigeria,2024,Ebola,Cardiovascular,10.21,0.63,9.36,61+,Male,600063,51.16,1.8,4.68,Surgery,20921.0,No,74.2,2994.0,4.35,13407.0,0.82,29.78 +75231,Turkey,2016,Asthma,Infectious,13.66,2.72,0.31,61+,Male,265460,93.43,2.37,9.37,Medication,42871.0,Yes,82.71,2310.0,8.88,86028.0,0.87,48.57 +75233,Brazil,2010,Alzheimer's Disease,Respiratory,9.88,3.89,5.94,36-60,Female,344638,73.01,4.84,6.82,Therapy,19470.0,Yes,55.54,3148.0,1.2,23903.0,0.87,47.22 +75239,Italy,2022,Tuberculosis,Bacterial,11.67,12.6,7.83,0-18,Male,895336,97.05,1.23,7.14,Vaccination,3013.0,No,83.6,2251.0,7.76,95807.0,0.69,86.84 +75243,South Korea,2004,Cholera,Respiratory,6.15,4.21,9.19,0-18,Male,318403,59.41,3.48,8.27,Vaccination,23442.0,No,89.28,2677.0,6.04,8795.0,0.89,87.43 +75253,Italy,2001,Measles,Bacterial,4.08,7.34,4.86,36-60,Male,819544,79.83,4.97,3.03,Therapy,25759.0,Yes,69.45,2415.0,3.84,74035.0,0.57,40.22 +75256,Saudi Arabia,2007,COVID-19,Bacterial,10.52,10.64,8.39,19-35,Male,721510,81.11,3.9,3.3,Vaccination,1541.0,No,59.78,2719.0,9.13,86906.0,0.66,41.7 +75258,South Korea,2013,Zika,Respiratory,17.12,8.78,6.77,61+,Other,374322,79.32,1.43,6.97,Medication,2448.0,No,68.76,2964.0,9.14,62458.0,0.56,50.93 +75264,Turkey,2018,Parkinson's Disease,Neurological,7.04,4.66,2.94,0-18,Female,81704,74.99,2.92,9.88,Surgery,26031.0,Yes,56.89,1664.0,8.05,55232.0,0.65,34.41 +75267,South Korea,2019,Leprosy,Parasitic,11.08,12.87,3.7,61+,Other,588347,53.79,0.88,5.2,Surgery,1400.0,No,62.6,4294.0,0.58,87689.0,0.8,55.33 +75275,Indonesia,2022,Asthma,Autoimmune,3.43,3.63,4.06,36-60,Other,690868,77.71,1.43,4.39,Medication,22398.0,Yes,77.36,4846.0,0.95,87069.0,0.68,37.0 +75280,Argentina,2001,Cancer,Neurological,2.83,13.9,6.28,61+,Female,764203,58.29,3.6,9.78,Surgery,30907.0,Yes,90.76,2049.0,7.34,99481.0,0.78,66.37 +75285,Japan,2013,Influenza,Respiratory,12.94,3.25,9.4,19-35,Other,752864,72.9,2.22,9.65,Medication,48937.0,No,62.15,4740.0,0.33,93010.0,0.51,43.63 +75293,China,2008,Ebola,Cardiovascular,19.79,6.94,3.19,19-35,Male,221211,68.05,1.09,1.6,Medication,5146.0,Yes,53.93,2606.0,3.53,17349.0,0.57,84.11 +75299,Australia,2017,Influenza,Cardiovascular,0.64,13.28,7.22,36-60,Male,325407,59.83,2.18,2.37,Medication,49891.0,No,83.6,4601.0,0.41,51490.0,0.76,67.68 +75300,Mexico,2014,Parkinson's Disease,Chronic,3.94,11.33,6.1,0-18,Female,549981,58.63,3.53,9.91,Surgery,44716.0,Yes,61.45,859.0,4.6,62595.0,0.81,63.29 +75305,Argentina,2001,Measles,Neurological,7.12,2.3,6.17,19-35,Male,7565,98.36,4.2,2.2,Surgery,42722.0,No,77.65,266.0,5.07,78345.0,0.56,54.62 +75313,USA,2014,Ebola,Parasitic,2.87,13.84,3.11,0-18,Male,672155,86.47,2.45,8.33,Surgery,32600.0,No,85.03,937.0,7.38,39406.0,0.41,47.32 +75319,UK,2021,Measles,Cardiovascular,10.52,4.58,9.32,36-60,Male,555796,98.32,2.89,1.38,Surgery,30772.0,No,71.44,40.0,2.76,11365.0,0.53,74.22 +75323,Mexico,2012,Diabetes,Chronic,0.36,6.42,6.57,19-35,Other,920639,56.68,2.72,3.01,Therapy,36481.0,No,65.59,599.0,2.95,55694.0,0.74,62.01 +75333,Turkey,2019,Malaria,Neurological,14.69,5.76,4.59,61+,Other,366147,73.13,0.8,3.31,Vaccination,16894.0,Yes,93.98,130.0,7.18,98685.0,0.55,42.34 +75334,Canada,2016,Asthma,Chronic,6.78,12.62,9.38,61+,Other,854676,59.24,0.52,4.42,Vaccination,10763.0,Yes,85.94,1836.0,9.78,57166.0,0.7,57.08 +75336,Canada,2023,Influenza,Chronic,5.46,14.94,7.16,0-18,Female,755661,85.58,2.36,5.44,Medication,37613.0,Yes,82.45,3913.0,6.92,93768.0,0.69,34.46 +75339,India,2012,HIV/AIDS,Bacterial,13.69,5.2,2.12,61+,Other,867980,95.08,4.38,0.82,Surgery,48367.0,Yes,55.35,755.0,9.41,25958.0,0.49,28.13 +75341,Argentina,2023,Zika,Neurological,11.08,5.38,0.37,36-60,Male,543533,70.59,4.96,6.38,Surgery,9532.0,No,71.77,4191.0,2.51,95142.0,0.51,62.28 +75342,Japan,2017,Asthma,Infectious,0.66,6.44,9.94,61+,Female,104106,63.14,2.02,5.46,Medication,41555.0,No,76.36,673.0,1.99,77917.0,0.72,82.74 +75344,Japan,2014,Alzheimer's Disease,Genetic,16.66,8.69,5.78,61+,Male,2915,53.59,4.34,7.23,Surgery,47779.0,No,94.41,4929.0,4.19,46646.0,0.43,37.33 +75346,Japan,2004,COVID-19,Bacterial,5.11,0.37,7.37,0-18,Male,50127,85.46,1.4,9.63,Medication,45812.0,No,88.69,415.0,1.04,7664.0,0.41,51.46 +75349,Italy,2012,Diabetes,Genetic,5.03,8.56,7.52,0-18,Male,434180,54.8,1.0,5.72,Vaccination,17712.0,No,78.41,1468.0,7.53,16545.0,0.46,71.66 +75366,UK,2007,COVID-19,Viral,6.28,3.62,7.65,0-18,Female,619261,64.38,2.04,5.3,Therapy,20689.0,No,55.35,4443.0,6.54,41284.0,0.48,49.43 +75367,Canada,2014,Diabetes,Neurological,3.81,10.74,2.6,19-35,Female,348317,78.79,3.65,8.88,Vaccination,37455.0,No,74.74,4638.0,4.88,8471.0,0.6,39.24 +75373,Canada,2010,Cholera,Chronic,4.1,12.23,8.14,61+,Male,947206,57.78,1.03,8.0,Medication,24223.0,Yes,65.16,880.0,0.38,64808.0,0.52,69.22 +75377,Nigeria,2018,Dengue,Autoimmune,17.78,11.98,2.22,19-35,Other,856622,93.61,4.33,1.37,Surgery,6855.0,No,59.43,2470.0,4.06,23145.0,0.75,75.85 +75382,Turkey,2017,COVID-19,Genetic,6.89,4.58,1.44,61+,Male,217959,92.83,3.68,5.14,Medication,28148.0,No,96.72,1696.0,8.24,30815.0,0.62,58.89 +75384,Mexico,2011,Diabetes,Viral,17.31,14.04,2.98,36-60,Female,964734,61.39,3.26,1.66,Vaccination,43625.0,Yes,58.42,1448.0,8.43,61053.0,0.44,82.05 +75390,Russia,2008,Polio,Infectious,18.73,6.63,2.6,19-35,Female,500795,53.91,3.36,9.62,Surgery,2571.0,Yes,69.51,2865.0,1.26,5093.0,0.4,78.24 +75396,Indonesia,2018,Tuberculosis,Neurological,17.47,6.59,3.63,0-18,Other,358947,87.01,4.57,5.89,Surgery,40364.0,No,80.83,4230.0,3.73,68746.0,0.83,61.7 +75398,France,2016,Leprosy,Metabolic,0.88,10.35,9.28,19-35,Female,135977,63.87,2.22,5.59,Medication,49153.0,Yes,78.32,321.0,2.21,22946.0,0.41,51.19 +75399,Mexico,2009,Tuberculosis,Autoimmune,5.66,9.24,8.08,36-60,Male,864545,84.34,2.32,5.0,Vaccination,1133.0,Yes,97.41,1443.0,6.9,37514.0,0.59,74.81 +75402,Germany,2004,Diabetes,Genetic,1.79,8.81,9.45,0-18,Male,528526,53.34,1.85,8.8,Medication,18807.0,Yes,86.61,122.0,0.29,87421.0,0.77,53.99 +75410,Canada,2020,Alzheimer's Disease,Infectious,13.93,9.26,6.48,19-35,Female,128402,79.53,2.31,3.6,Vaccination,41442.0,No,91.87,3824.0,8.42,69155.0,0.88,70.14 +75411,UK,2020,Asthma,Viral,12.04,14.85,3.55,19-35,Other,564005,88.9,4.52,8.5,Vaccination,31847.0,No,58.44,648.0,8.83,12222.0,0.47,46.34 +75413,France,2003,Asthma,Viral,18.77,7.22,5.75,19-35,Other,177026,69.08,3.1,3.06,Vaccination,39016.0,No,54.07,3997.0,9.11,18187.0,0.73,34.52 +75419,USA,2012,Alzheimer's Disease,Neurological,8.91,4.99,4.14,19-35,Other,68202,70.91,0.52,8.23,Surgery,21277.0,No,97.3,4508.0,8.67,50061.0,0.88,24.38 +75433,Germany,2021,COVID-19,Viral,15.11,5.43,1.41,36-60,Female,119499,59.36,1.48,1.06,Surgery,2060.0,No,56.6,1698.0,8.8,42110.0,0.56,46.09 +75436,South Africa,2004,Parkinson's Disease,Cardiovascular,0.69,4.92,4.43,61+,Other,799901,67.69,0.97,8.43,Therapy,49779.0,No,90.82,4906.0,5.91,24559.0,0.4,44.32 +75450,Canada,2015,HIV/AIDS,Parasitic,2.89,1.81,3.28,61+,Male,148686,60.97,1.4,4.11,Medication,43182.0,Yes,92.47,2159.0,8.58,27203.0,0.47,28.87 +75459,China,2021,Zika,Bacterial,3.53,8.35,5.91,61+,Other,882820,63.01,1.45,3.49,Medication,27311.0,Yes,63.75,459.0,5.62,93236.0,0.51,32.87 +75460,South Africa,2014,Zika,Bacterial,19.88,1.05,9.39,0-18,Other,554895,50.46,3.07,6.21,Surgery,16361.0,No,95.24,1618.0,5.0,12639.0,0.58,49.48 +75461,Canada,2000,Ebola,Parasitic,10.68,12.33,4.29,0-18,Other,232504,55.55,3.12,0.58,Vaccination,31817.0,No,84.03,3559.0,0.46,54414.0,0.64,48.78 +75464,Nigeria,2015,Alzheimer's Disease,Bacterial,18.66,14.64,9.11,19-35,Female,174420,89.47,3.68,7.78,Therapy,12528.0,No,64.95,3337.0,5.3,3045.0,0.73,86.55 +75471,Russia,2020,Dengue,Viral,15.08,1.4,3.89,61+,Male,513960,75.87,1.09,1.73,Medication,1006.0,No,60.57,1096.0,3.71,87833.0,0.69,61.11 +75476,Mexico,2018,COVID-19,Neurological,9.35,7.86,4.57,19-35,Male,346085,83.71,3.78,0.76,Vaccination,39785.0,Yes,67.11,2489.0,9.93,16440.0,0.44,65.49 +75480,Germany,2021,Hepatitis,Cardiovascular,14.29,0.58,1.53,0-18,Other,977122,75.78,3.56,4.13,Surgery,6535.0,Yes,81.11,2931.0,6.45,3682.0,0.83,86.01 +75482,USA,2018,Cancer,Genetic,1.56,3.8,4.19,61+,Male,18139,67.32,1.32,1.17,Medication,46432.0,No,74.39,4583.0,3.22,20881.0,0.57,20.47 +75487,South Africa,2002,Malaria,Metabolic,7.86,8.81,9.49,61+,Male,917486,80.78,4.67,5.34,Medication,5342.0,Yes,98.3,4828.0,5.48,71652.0,0.88,35.82 +75498,Saudi Arabia,2011,Cholera,Cardiovascular,7.9,0.42,6.59,0-18,Male,711004,61.14,3.92,9.79,Surgery,11345.0,Yes,87.83,661.0,3.21,97928.0,0.48,53.1 +75505,Brazil,2003,Cholera,Cardiovascular,2.67,5.04,2.47,0-18,Male,510116,55.6,4.17,9.11,Medication,2943.0,No,54.62,941.0,0.39,54237.0,0.63,80.87 +75512,South Africa,2023,Leprosy,Metabolic,4.85,1.05,1.04,61+,Other,26783,88.55,3.42,3.39,Vaccination,7750.0,Yes,98.37,203.0,4.93,72001.0,0.8,60.42 +75514,Australia,2007,Dengue,Bacterial,16.92,9.39,5.46,19-35,Male,937831,69.58,1.06,6.32,Surgery,885.0,Yes,75.82,813.0,0.64,93508.0,0.6,54.85 +75518,Canada,2008,Rabies,Viral,15.75,1.41,6.97,61+,Male,656397,98.62,3.89,7.31,Vaccination,11947.0,Yes,69.95,2918.0,2.46,12621.0,0.57,77.46 +75525,South Africa,2004,Leprosy,Respiratory,7.83,0.9,4.28,61+,Female,931458,74.51,3.18,5.56,Vaccination,2307.0,No,71.83,4173.0,7.31,95842.0,0.81,29.72 +75529,Indonesia,2015,Polio,Metabolic,10.13,6.01,8.61,19-35,Other,49895,53.75,4.47,3.71,Vaccination,202.0,Yes,83.25,3436.0,5.46,68094.0,0.79,89.36 +75535,Indonesia,2011,Measles,Cardiovascular,14.71,4.26,4.11,61+,Female,531188,50.13,2.52,3.23,Surgery,14967.0,Yes,55.51,3825.0,5.37,73249.0,0.55,35.09 +75536,China,2015,Diabetes,Cardiovascular,5.23,3.2,4.99,61+,Other,483154,74.61,3.34,0.57,Surgery,26925.0,No,63.6,360.0,3.09,99544.0,0.48,88.37 +75539,South Africa,2001,HIV/AIDS,Infectious,15.85,5.63,6.23,61+,Female,873512,52.09,3.46,4.17,Vaccination,43226.0,Yes,83.79,4565.0,2.57,13340.0,0.65,70.21 +75548,South Korea,2012,Asthma,Metabolic,2.86,8.21,5.61,0-18,Male,630082,95.46,2.24,9.08,Medication,31714.0,Yes,74.69,3509.0,0.03,29397.0,0.69,52.64 +75549,Australia,2001,Parkinson's Disease,Viral,6.86,11.96,4.25,61+,Female,497176,69.74,3.72,5.88,Therapy,23277.0,No,51.7,2006.0,3.24,3239.0,0.64,69.42 +75550,Mexico,2011,Leprosy,Bacterial,17.87,3.61,3.26,19-35,Male,68418,83.95,4.66,5.03,Vaccination,35531.0,No,80.44,4125.0,9.92,69765.0,0.81,85.41 +75558,Japan,2020,Malaria,Parasitic,2.28,9.34,5.43,61+,Male,356992,56.59,2.39,4.47,Therapy,43182.0,Yes,54.89,2375.0,2.5,93293.0,0.89,35.67 +75560,UK,2009,Zika,Neurological,3.6,2.46,7.29,0-18,Female,49921,79.28,2.71,5.8,Therapy,34058.0,No,88.07,2641.0,0.92,7936.0,0.83,30.47 +75561,Saudi Arabia,2011,Diabetes,Metabolic,4.4,3.4,9.26,36-60,Male,897957,70.99,2.51,1.23,Medication,35158.0,Yes,78.06,2825.0,0.74,66468.0,0.46,88.1 +75564,Russia,2016,Rabies,Parasitic,9.6,12.26,0.34,0-18,Female,134356,80.11,1.57,6.57,Medication,839.0,No,53.96,781.0,5.25,12055.0,0.86,43.76 +75566,Germany,2014,Alzheimer's Disease,Infectious,15.61,11.75,6.57,0-18,Female,276916,80.6,3.68,2.18,Therapy,49708.0,No,71.2,2688.0,0.39,37023.0,0.78,61.92 +75575,Mexico,2009,Measles,Chronic,1.82,7.77,6.6,36-60,Male,92891,84.52,4.23,0.61,Surgery,22571.0,Yes,50.04,3707.0,2.67,22494.0,0.78,47.8 +75576,India,2004,Cholera,Neurological,1.09,10.15,0.35,36-60,Female,450162,97.21,0.91,8.43,Medication,33796.0,No,57.85,1574.0,0.46,52940.0,0.44,78.86 +75578,India,2011,Leprosy,Bacterial,5.83,5.38,6.04,61+,Female,768147,58.15,2.81,9.92,Surgery,35998.0,Yes,82.81,2540.0,9.32,1076.0,0.88,29.21 +75584,Italy,2016,Asthma,Cardiovascular,7.1,9.76,8.51,61+,Female,780422,57.95,0.83,3.29,Vaccination,28386.0,Yes,75.98,4300.0,8.33,72776.0,0.82,60.84 +75596,Canada,2011,Rabies,Metabolic,0.59,8.4,1.74,0-18,Male,739228,55.42,0.56,3.27,Medication,33702.0,No,89.27,58.0,7.36,92272.0,0.52,71.98 +75603,Japan,2020,Asthma,Genetic,17.03,8.54,0.99,61+,Female,435180,54.82,2.78,5.25,Medication,26071.0,No,93.65,87.0,2.1,35078.0,0.88,74.57 +75605,Saudi Arabia,2015,Zika,Parasitic,19.82,7.68,0.29,0-18,Female,899601,97.17,4.92,4.19,Vaccination,33531.0,Yes,86.39,3890.0,1.04,90430.0,0.81,46.5 +75609,China,2008,Zika,Respiratory,12.25,1.58,2.2,36-60,Female,870900,59.47,2.6,4.87,Therapy,8040.0,No,54.31,4178.0,6.66,82396.0,0.65,37.66 +75612,Australia,2009,Dengue,Bacterial,0.79,9.82,2.85,19-35,Other,205199,85.29,1.11,1.81,Vaccination,17752.0,No,52.17,2796.0,0.1,3316.0,0.47,65.64 +75621,China,2022,Ebola,Metabolic,8.5,7.51,7.77,19-35,Male,228716,50.84,3.08,3.98,Vaccination,20597.0,Yes,63.33,1093.0,8.84,55218.0,0.48,49.44 +75630,Saudi Arabia,2005,COVID-19,Infectious,13.97,10.02,8.44,0-18,Other,625459,99.0,1.8,1.19,Medication,18694.0,Yes,84.23,3676.0,7.89,66278.0,0.87,76.77 +75642,Saudi Arabia,2000,Parkinson's Disease,Metabolic,8.14,3.1,3.57,19-35,Other,689453,93.61,1.82,0.9,Therapy,9679.0,No,81.04,1248.0,0.16,7897.0,0.71,46.15 +75644,India,2018,Alzheimer's Disease,Autoimmune,10.21,0.9,1.04,19-35,Female,174275,66.74,4.35,1.08,Vaccination,31757.0,Yes,73.89,2099.0,9.63,72512.0,0.61,66.64 +75658,Germany,2011,Zika,Parasitic,10.09,8.12,3.61,61+,Other,25179,76.7,3.86,5.19,Surgery,42439.0,Yes,77.8,1439.0,9.31,49452.0,0.54,41.66 +75661,China,2019,Hepatitis,Cardiovascular,8.87,13.03,9.51,61+,Female,434893,79.03,1.98,5.48,Vaccination,26725.0,Yes,77.18,1597.0,3.64,36577.0,0.59,84.29 +75662,France,2017,Dengue,Cardiovascular,6.7,7.68,0.49,19-35,Other,584058,82.51,1.54,1.89,Therapy,16891.0,No,73.64,3886.0,8.36,55200.0,0.84,83.75 +75671,China,2004,Zika,Chronic,9.44,2.71,8.65,36-60,Female,773375,61.7,4.88,1.51,Medication,44096.0,Yes,54.04,2940.0,4.17,5224.0,0.83,34.28 +75677,Saudi Arabia,2020,Rabies,Bacterial,4.69,6.68,9.18,61+,Female,921453,89.95,1.59,8.69,Therapy,32409.0,Yes,52.12,2446.0,7.29,38697.0,0.55,57.84 +75678,USA,2014,Rabies,Genetic,14.83,10.09,5.11,61+,Female,61323,53.61,3.32,1.12,Medication,5022.0,Yes,81.24,601.0,7.85,10948.0,0.7,45.09 +75679,Indonesia,2023,Cholera,Neurological,8.61,12.14,3.72,19-35,Female,12914,91.85,3.73,6.88,Therapy,16406.0,Yes,56.46,3049.0,5.38,29942.0,0.55,60.48 +75683,Germany,2014,Parkinson's Disease,Bacterial,17.29,2.53,3.52,0-18,Other,220333,52.77,3.85,6.85,Medication,15519.0,No,94.56,2315.0,2.33,24461.0,0.53,32.28 +75685,Nigeria,2011,Hypertension,Autoimmune,8.43,5.1,6.98,36-60,Male,220167,87.52,3.46,4.84,Surgery,45776.0,Yes,83.23,903.0,1.62,61748.0,0.86,55.45 +75695,Mexico,2004,Measles,Cardiovascular,6.03,1.55,0.97,61+,Male,627713,86.14,1.06,7.84,Therapy,9265.0,No,87.43,2410.0,7.32,92785.0,0.81,65.88 +75697,Argentina,2004,Rabies,Respiratory,16.27,9.79,7.46,61+,Male,591662,57.21,1.37,4.5,Surgery,11426.0,Yes,74.4,226.0,6.83,68912.0,0.84,64.87 +75701,Japan,2001,Hepatitis,Parasitic,0.98,11.67,8.62,61+,Male,853019,85.93,1.61,2.75,Vaccination,37621.0,No,81.94,4419.0,2.37,75380.0,0.64,59.19 +75704,Japan,2009,Polio,Cardiovascular,2.38,9.43,5.01,19-35,Other,959905,88.05,2.92,4.55,Medication,42672.0,Yes,92.22,1089.0,6.5,12499.0,0.47,70.93 +75706,South Africa,2005,Hepatitis,Neurological,6.3,14.06,4.66,0-18,Male,89673,83.69,4.09,2.48,Surgery,7866.0,No,94.71,392.0,6.71,52463.0,0.49,54.17 +75708,Mexico,2011,Tuberculosis,Viral,4.11,0.23,1.14,0-18,Male,535807,90.21,4.92,8.92,Medication,14896.0,No,93.01,4222.0,4.94,13611.0,0.59,39.64 +75709,Indonesia,2018,Cholera,Cardiovascular,5.15,10.77,9.73,0-18,Other,150730,62.08,3.97,9.81,Vaccination,795.0,Yes,58.77,2251.0,9.15,38860.0,0.52,26.37 +75714,China,2014,Zika,Genetic,12.89,9.25,9.46,36-60,Male,988060,73.54,4.65,5.83,Vaccination,41617.0,Yes,75.54,3550.0,3.59,14649.0,0.41,52.16 +75718,China,2000,Rabies,Infectious,0.38,13.09,5.75,61+,Female,406133,98.52,2.12,0.78,Medication,14888.0,No,50.57,4131.0,4.39,7089.0,0.56,62.37 +75724,Indonesia,2003,Parkinson's Disease,Neurological,5.71,10.57,5.2,19-35,Female,249465,78.28,3.6,6.15,Medication,48772.0,Yes,54.98,1184.0,3.31,51328.0,0.67,77.01 +75726,Russia,2014,Tuberculosis,Parasitic,16.23,3.5,0.57,36-60,Female,939464,60.25,4.31,9.48,Medication,49177.0,Yes,94.79,3620.0,5.55,99035.0,0.41,48.21 +75727,Italy,2001,Cancer,Viral,0.39,14.1,0.31,19-35,Other,87067,85.29,2.12,5.51,Surgery,21598.0,No,90.47,1191.0,1.4,33925.0,0.5,26.52 +75733,Brazil,2000,COVID-19,Chronic,8.11,6.58,2.93,36-60,Female,767811,91.68,4.97,0.67,Medication,8963.0,Yes,50.05,3472.0,4.43,93621.0,0.88,39.76 +75745,France,2005,Diabetes,Respiratory,6.36,0.42,5.75,19-35,Male,336555,71.64,1.03,8.8,Therapy,46134.0,Yes,59.68,1829.0,9.4,20955.0,0.72,59.05 +75746,Japan,2011,Diabetes,Viral,17.34,11.79,8.69,0-18,Female,754126,80.52,0.68,8.94,Surgery,4632.0,Yes,51.81,1292.0,1.17,92320.0,0.53,23.9 +75747,Nigeria,2013,Malaria,Cardiovascular,5.97,5.67,3.23,19-35,Other,455420,95.89,1.55,6.95,Medication,7118.0,No,62.26,168.0,6.19,92932.0,0.67,39.14 +75752,Brazil,2014,Tuberculosis,Respiratory,4.13,13.91,9.89,0-18,Other,964617,78.08,0.9,4.58,Therapy,37917.0,No,80.78,2988.0,1.52,76344.0,0.62,33.42 +75754,Saudi Arabia,2014,Alzheimer's Disease,Cardiovascular,8.24,1.33,2.71,36-60,Other,989321,80.79,3.44,9.27,Surgery,10591.0,No,98.78,4227.0,2.63,87810.0,0.76,46.85 +75755,Australia,2008,Zika,Viral,9.76,10.17,7.08,0-18,Male,248938,70.7,4.89,5.78,Medication,44333.0,Yes,95.0,2124.0,3.83,8506.0,0.51,82.42 +75756,Russia,2002,COVID-19,Autoimmune,9.21,5.5,9.91,0-18,Female,121276,76.16,4.82,9.62,Surgery,15230.0,Yes,60.07,3235.0,5.08,55079.0,0.5,54.25 +75758,Canada,2011,Diabetes,Genetic,12.94,3.5,7.02,36-60,Female,526139,65.12,2.56,7.81,Medication,2212.0,Yes,66.19,969.0,4.78,44594.0,0.61,60.55 +75765,India,2020,Dengue,Cardiovascular,3.0,11.06,2.82,0-18,Female,999593,65.36,3.78,9.95,Therapy,24657.0,No,52.73,4690.0,5.81,36384.0,0.77,33.24 +75770,India,2014,Cancer,Genetic,1.53,4.23,3.5,61+,Female,715583,93.59,3.06,8.45,Surgery,44822.0,Yes,78.98,4664.0,1.07,47383.0,0.59,84.94 +75802,Japan,2012,Rabies,Neurological,12.79,0.21,2.5,61+,Male,430877,68.3,0.85,4.42,Vaccination,335.0,Yes,66.8,2152.0,8.5,19856.0,0.58,21.39 +75804,USA,2024,Cholera,Neurological,2.66,5.49,9.61,61+,Other,661388,64.78,4.01,2.22,Vaccination,42285.0,No,75.58,3467.0,3.43,33173.0,0.72,40.19 +75806,France,2006,Measles,Viral,19.28,8.08,4.41,36-60,Female,845397,96.73,0.89,3.53,Surgery,31322.0,Yes,67.36,4118.0,2.05,21106.0,0.56,42.59 +75813,India,2024,Diabetes,Cardiovascular,6.34,0.95,6.67,61+,Female,449302,64.98,3.6,6.87,Vaccination,1359.0,No,82.21,4007.0,5.92,86881.0,0.76,75.51 +75821,USA,2022,Parkinson's Disease,Parasitic,3.61,12.22,9.06,61+,Other,163809,55.26,4.89,6.76,Therapy,9207.0,No,94.33,1739.0,9.92,91875.0,0.82,42.7 +75823,Indonesia,2008,Leprosy,Autoimmune,12.56,8.37,6.85,0-18,Female,550575,81.53,1.98,4.41,Medication,43475.0,No,75.11,13.0,2.66,7257.0,0.71,52.76 +75827,China,2021,Leprosy,Infectious,8.11,10.51,8.92,61+,Male,446915,56.69,1.86,6.55,Medication,42143.0,No,94.29,3531.0,1.94,98493.0,0.71,59.41 +75829,China,2010,HIV/AIDS,Metabolic,0.67,10.88,4.22,61+,Female,282645,68.3,2.1,5.41,Therapy,24026.0,No,89.81,1926.0,7.91,73141.0,0.65,43.33 +75836,Germany,2010,Polio,Genetic,13.96,13.27,8.65,36-60,Other,717427,53.92,2.88,9.17,Surgery,9835.0,Yes,77.42,3838.0,1.76,34082.0,0.48,85.34 +75838,USA,2018,Tuberculosis,Neurological,12.61,7.58,4.7,61+,Female,770845,61.07,3.44,4.56,Medication,47791.0,Yes,52.02,710.0,6.75,90982.0,0.45,43.96 +75843,Mexico,2017,Cancer,Chronic,8.28,3.54,8.69,0-18,Male,674142,65.47,2.21,7.85,Medication,13437.0,No,74.12,3837.0,0.53,26734.0,0.71,29.88 +75845,Germany,2007,Diabetes,Respiratory,6.94,9.51,7.03,0-18,Male,409622,58.53,1.34,6.09,Medication,33775.0,No,52.54,601.0,5.17,3528.0,0.83,71.26 +75846,Saudi Arabia,2024,Alzheimer's Disease,Neurological,5.31,6.26,5.73,36-60,Female,792813,55.09,4.44,2.49,Medication,4516.0,Yes,60.87,3042.0,3.9,93115.0,0.72,30.76 +75847,South Africa,2001,Malaria,Parasitic,9.19,6.97,6.8,0-18,Female,991011,93.54,3.79,2.29,Therapy,49700.0,No,54.3,116.0,5.13,99538.0,0.71,54.62 +75854,France,2023,HIV/AIDS,Genetic,17.23,1.96,2.91,61+,Other,522285,71.78,3.59,1.96,Vaccination,8064.0,No,95.76,3841.0,7.69,68266.0,0.62,52.69 +75855,Brazil,2019,Cancer,Chronic,1.43,3.99,5.64,0-18,Other,332991,58.81,4.02,1.95,Vaccination,35897.0,Yes,73.76,781.0,6.18,95473.0,0.47,24.54 +75859,Argentina,2005,Malaria,Neurological,15.16,6.53,9.19,61+,Female,257084,54.91,1.2,9.56,Therapy,32619.0,Yes,74.88,2537.0,8.25,99593.0,0.48,58.36 +75868,Nigeria,2001,Parkinson's Disease,Cardiovascular,17.06,14.76,5.78,61+,Female,455221,72.51,3.95,4.63,Surgery,45052.0,Yes,97.31,295.0,1.68,85568.0,0.72,36.52 +75873,Argentina,2021,Cholera,Viral,10.02,1.16,5.15,19-35,Male,263096,54.77,2.42,3.93,Surgery,47128.0,Yes,59.75,3127.0,2.32,55062.0,0.48,81.41 +75877,France,2000,Leprosy,Parasitic,2.88,0.17,2.52,36-60,Male,208944,94.98,3.98,6.8,Vaccination,22411.0,Yes,75.25,2690.0,1.43,47463.0,0.57,70.94 +75886,UK,2005,Hepatitis,Metabolic,10.83,13.67,7.89,0-18,Other,274049,77.41,2.98,6.99,Vaccination,5124.0,Yes,76.85,25.0,1.33,87090.0,0.43,36.52 +75887,South Korea,2012,Asthma,Infectious,15.41,0.49,4.92,0-18,Other,975555,77.85,4.19,6.96,Surgery,25920.0,Yes,65.1,931.0,4.26,42712.0,0.41,54.5 +75892,Canada,2021,Cancer,Metabolic,16.48,7.53,1.59,0-18,Other,36238,72.05,3.87,4.95,Therapy,6233.0,No,68.76,977.0,9.64,12487.0,0.41,31.28 +75897,South Korea,2007,HIV/AIDS,Chronic,2.18,11.16,7.86,36-60,Other,459036,54.57,3.32,3.07,Medication,45888.0,No,56.58,3120.0,8.75,11188.0,0.76,78.24 +75902,Australia,2012,Dengue,Viral,7.55,7.23,0.98,0-18,Female,26745,56.06,3.13,1.21,Surgery,33652.0,No,57.8,1237.0,2.99,73155.0,0.84,40.25 +75903,Indonesia,2006,Ebola,Neurological,15.13,6.01,8.03,61+,Other,245086,60.2,4.19,0.53,Medication,35177.0,Yes,95.38,1835.0,7.2,43979.0,0.85,85.54 +75912,UK,2022,Dengue,Bacterial,13.24,0.32,7.2,19-35,Male,221594,99.88,1.97,6.8,Vaccination,19819.0,Yes,86.43,1068.0,9.69,90538.0,0.8,57.98 +75917,South Korea,2001,Rabies,Metabolic,3.93,12.93,4.59,61+,Female,389144,92.77,2.2,9.18,Vaccination,39636.0,No,86.99,4503.0,8.69,21914.0,0.76,48.23 +75923,UK,2021,Alzheimer's Disease,Metabolic,1.06,13.56,4.0,19-35,Male,579541,98.25,4.35,6.72,Medication,49946.0,Yes,75.16,946.0,8.49,30571.0,0.77,21.86 +75925,Canada,2018,Ebola,Neurological,4.86,3.5,5.74,61+,Other,540345,88.23,4.56,9.2,Therapy,9855.0,Yes,54.66,3450.0,4.38,57623.0,0.76,79.57 +75932,Saudi Arabia,2020,Asthma,Genetic,0.95,3.18,4.21,61+,Male,266350,63.42,0.9,8.61,Medication,19423.0,Yes,87.5,346.0,0.87,93862.0,0.72,28.96 +75935,South Africa,2024,Diabetes,Infectious,8.36,9.57,8.27,61+,Other,213573,57.24,0.94,6.15,Vaccination,4311.0,Yes,53.63,940.0,2.64,25363.0,0.83,80.43 +75936,Saudi Arabia,2019,Cholera,Metabolic,2.28,10.47,0.43,61+,Male,758815,58.82,0.77,6.82,Medication,36152.0,No,72.36,2225.0,4.3,30137.0,0.89,57.19 +75938,Canada,2023,Malaria,Viral,2.55,0.96,6.47,36-60,Female,206809,64.57,3.51,1.71,Vaccination,17620.0,No,82.09,3140.0,8.95,91060.0,0.42,27.9 +75950,Nigeria,2005,Asthma,Chronic,4.46,7.98,5.81,0-18,Female,981403,94.19,4.84,1.96,Surgery,25485.0,Yes,78.02,1795.0,2.19,60688.0,0.8,82.9 +75962,Japan,2007,Cholera,Parasitic,19.47,0.87,4.4,36-60,Other,619211,69.08,1.19,4.1,Therapy,12825.0,No,51.82,2952.0,3.62,37861.0,0.61,75.41 +75967,UK,2017,Measles,Autoimmune,13.7,12.06,9.5,0-18,Female,635672,84.83,4.22,3.99,Surgery,39376.0,Yes,56.86,4005.0,9.24,76801.0,0.42,21.79 +75968,Turkey,2000,Parkinson's Disease,Chronic,9.68,12.53,1.22,0-18,Male,311411,92.91,1.99,4.4,Medication,34392.0,No,68.64,4005.0,8.05,77183.0,0.65,39.54 +75970,Japan,2006,Asthma,Autoimmune,18.25,4.53,4.43,61+,Male,223596,60.1,4.47,9.46,Vaccination,10720.0,No,78.17,2001.0,5.42,56375.0,0.59,44.05 +75971,France,2012,Hypertension,Infectious,16.19,11.99,0.4,36-60,Male,699657,99.52,3.09,6.63,Surgery,41583.0,Yes,94.21,2946.0,1.95,11028.0,0.9,77.05 +75972,Saudi Arabia,2019,Malaria,Respiratory,8.31,5.19,2.5,19-35,Female,76876,72.56,2.43,3.68,Therapy,16284.0,No,73.53,1078.0,7.49,58836.0,0.43,61.97 +75987,Brazil,2007,Ebola,Autoimmune,11.59,1.05,5.16,19-35,Female,323952,84.9,3.52,8.98,Surgery,17852.0,Yes,64.45,110.0,9.34,21064.0,0.81,21.5 +75997,China,2016,COVID-19,Viral,10.34,10.75,7.49,36-60,Other,538159,69.33,2.05,9.21,Vaccination,16058.0,Yes,95.44,1523.0,3.97,36539.0,0.68,81.62 +76002,Australia,2006,Ebola,Bacterial,3.89,0.12,6.53,19-35,Male,219818,71.33,3.34,7.63,Therapy,18593.0,Yes,86.58,2053.0,4.17,82052.0,0.72,71.01 +76004,Canada,2005,COVID-19,Genetic,6.74,5.17,3.14,36-60,Female,720245,60.9,1.75,5.37,Medication,47878.0,Yes,58.28,806.0,1.15,50031.0,0.73,49.96 +76007,Brazil,2015,Polio,Parasitic,3.09,5.54,4.9,36-60,Female,756782,85.8,2.5,2.82,Surgery,25156.0,No,82.99,298.0,7.04,91890.0,0.52,37.7 +76019,UK,2022,Rabies,Genetic,14.36,8.87,8.1,36-60,Male,638750,75.82,2.17,6.78,Surgery,13727.0,No,67.92,475.0,0.8,26223.0,0.53,43.12 +76022,South Africa,2001,Cancer,Genetic,14.19,5.61,3.14,19-35,Other,672510,84.32,2.01,2.46,Medication,7837.0,No,75.43,668.0,3.37,84720.0,0.71,57.02 +76024,Germany,2024,COVID-19,Respiratory,2.54,6.69,9.72,19-35,Male,208268,72.05,4.25,3.74,Medication,38718.0,No,57.06,4968.0,3.88,94174.0,0.52,25.95 +76028,USA,2024,HIV/AIDS,Cardiovascular,14.71,2.29,5.17,61+,Other,860253,68.32,0.56,9.57,Vaccination,22872.0,No,76.15,1684.0,1.07,88714.0,0.78,60.0 +76038,Japan,2006,Parkinson's Disease,Chronic,1.15,9.93,2.47,19-35,Male,961522,93.19,1.01,9.9,Medication,49573.0,No,80.11,3231.0,4.74,91285.0,0.76,37.31 +76041,Russia,2018,Hypertension,Bacterial,1.15,4.66,9.35,0-18,Male,364913,58.5,1.13,4.81,Surgery,24033.0,Yes,52.22,2897.0,1.68,41427.0,0.85,32.4 +76045,France,2009,Zika,Chronic,11.57,12.28,9.74,36-60,Female,792884,99.4,2.78,4.44,Therapy,19239.0,No,67.06,2394.0,3.2,30258.0,0.87,28.82 +76046,Australia,2001,Parkinson's Disease,Genetic,6.24,8.04,3.66,0-18,Other,444739,63.33,0.77,4.86,Therapy,11835.0,No,73.91,4102.0,2.87,13103.0,0.77,77.56 +76049,China,2014,Rabies,Bacterial,6.64,13.3,1.5,19-35,Other,417181,83.27,1.11,7.54,Vaccination,20735.0,Yes,69.76,985.0,8.26,77679.0,0.53,36.48 +76052,Italy,2000,Parkinson's Disease,Metabolic,11.78,8.56,3.4,36-60,Male,868888,85.59,1.52,6.54,Medication,6417.0,No,90.3,3628.0,3.3,47082.0,0.77,43.71 +76054,Japan,2021,Zika,Metabolic,11.3,7.66,5.4,61+,Male,254720,68.18,4.68,7.15,Surgery,22171.0,Yes,78.88,4034.0,4.78,51083.0,0.56,58.79 +76058,India,2022,Hepatitis,Bacterial,4.2,6.01,8.01,36-60,Male,8659,61.51,1.25,2.71,Surgery,21982.0,No,88.47,1685.0,3.07,7695.0,0.67,46.55 +76061,Turkey,2002,Measles,Respiratory,15.89,10.29,6.39,0-18,Female,749134,76.7,3.91,1.69,Medication,34709.0,No,52.7,483.0,3.54,12727.0,0.76,24.18 +76062,Brazil,2000,Cholera,Genetic,17.97,13.19,8.99,0-18,Male,326720,55.62,1.72,7.35,Medication,38783.0,Yes,93.51,4007.0,0.48,75585.0,0.59,54.64 +76068,South Korea,2011,Malaria,Chronic,15.52,6.35,9.48,36-60,Female,443337,69.76,1.86,0.61,Therapy,33751.0,No,63.76,2672.0,4.92,30173.0,0.62,65.57 +76077,India,2004,Parkinson's Disease,Metabolic,11.56,3.22,6.89,0-18,Female,68065,56.53,1.56,4.94,Surgery,32577.0,Yes,56.73,4776.0,3.35,52465.0,0.6,63.98 +76087,Indonesia,2015,Zika,Cardiovascular,19.31,14.96,8.23,19-35,Male,904342,53.35,4.04,2.82,Medication,49345.0,Yes,60.96,3736.0,8.65,41496.0,0.84,38.2 +76090,USA,2011,Rabies,Parasitic,9.29,11.05,7.54,0-18,Female,467289,78.84,1.97,1.05,Therapy,20031.0,No,92.05,4332.0,4.29,64432.0,0.78,71.48 +76110,South Africa,2004,Hypertension,Chronic,12.51,4.23,5.45,19-35,Female,983959,85.8,3.97,3.46,Vaccination,22510.0,Yes,72.87,4245.0,4.97,71321.0,0.72,61.98 +76115,Brazil,2015,Measles,Bacterial,18.03,1.19,7.27,61+,Male,415149,72.31,2.87,5.91,Therapy,30550.0,Yes,87.52,1255.0,1.99,66002.0,0.8,61.53 +76116,China,2016,Tuberculosis,Autoimmune,17.94,0.88,2.91,0-18,Male,427685,77.37,2.91,1.5,Vaccination,32609.0,Yes,67.69,3674.0,6.85,12790.0,0.76,33.73 +76123,France,2004,COVID-19,Metabolic,4.06,13.5,1.13,19-35,Female,684144,51.77,3.78,6.75,Surgery,40652.0,No,57.77,3785.0,9.91,12998.0,0.88,84.12 +76124,Italy,2003,Polio,Neurological,12.62,10.37,6.81,36-60,Female,824823,69.49,4.63,4.82,Vaccination,22168.0,Yes,78.12,2009.0,2.68,72451.0,0.64,38.72 +76130,Canada,2009,Rabies,Genetic,4.22,2.73,4.87,19-35,Other,378346,54.48,3.99,7.34,Therapy,14396.0,No,85.13,3388.0,5.86,77425.0,0.74,41.2 +76131,South Africa,2013,Cancer,Parasitic,1.25,14.25,1.07,0-18,Other,88859,92.5,1.68,8.71,Surgery,16353.0,No,92.73,510.0,6.98,7382.0,0.85,80.93 +76132,Brazil,2023,Cholera,Viral,3.7,3.77,9.41,19-35,Female,220168,53.98,0.57,0.68,Surgery,2607.0,Yes,77.68,4252.0,1.98,93607.0,0.65,83.55 +76137,India,2015,Malaria,Parasitic,15.7,14.34,1.44,61+,Other,726085,92.0,1.86,5.51,Vaccination,34445.0,No,62.72,2952.0,3.61,30391.0,0.58,69.3 +76138,Saudi Arabia,2021,Parkinson's Disease,Respiratory,1.67,4.34,0.81,61+,Female,52461,75.27,2.29,9.45,Vaccination,18701.0,Yes,74.78,189.0,1.67,83438.0,0.74,38.82 +76141,China,2011,Polio,Infectious,14.39,13.32,3.61,19-35,Male,743185,69.44,1.53,5.95,Medication,42009.0,Yes,60.55,3287.0,2.98,10805.0,0.47,81.19 +76152,UK,2020,Cancer,Metabolic,7.28,1.34,6.49,19-35,Other,779811,65.23,2.93,4.17,Vaccination,10677.0,Yes,59.1,2043.0,6.12,24677.0,0.9,26.14 +76153,Mexico,2018,Leprosy,Respiratory,11.11,8.6,5.47,0-18,Other,868465,92.52,0.7,1.21,Medication,15352.0,Yes,63.84,1795.0,4.13,56224.0,0.47,79.41 +76158,China,2013,Polio,Viral,13.02,4.73,3.93,36-60,Female,935977,57.3,4.93,2.84,Therapy,17432.0,No,77.99,1975.0,9.2,79039.0,0.44,38.31 +76162,Japan,2003,Zika,Parasitic,4.71,6.28,1.94,19-35,Male,242127,58.43,2.67,6.04,Vaccination,39910.0,Yes,64.06,809.0,8.19,56474.0,0.79,29.53 +76165,Australia,2012,Leprosy,Respiratory,4.47,11.68,3.59,36-60,Male,817031,51.38,1.82,8.17,Medication,11601.0,Yes,76.4,2172.0,8.63,94813.0,0.85,47.78 +76169,Mexico,2012,Cholera,Cardiovascular,19.15,12.54,6.22,0-18,Other,141158,66.89,3.59,0.92,Therapy,23257.0,No,62.6,3496.0,3.8,25831.0,0.49,55.86 +76179,South Africa,2013,Parkinson's Disease,Neurological,11.17,10.44,3.38,61+,Other,644191,80.77,4.68,8.16,Vaccination,37995.0,Yes,61.0,1637.0,5.35,8094.0,0.42,79.43 +76180,Canada,2009,Cholera,Neurological,4.06,12.65,7.07,36-60,Male,754457,55.58,4.21,3.83,Surgery,28522.0,Yes,98.69,2283.0,8.77,32553.0,0.67,70.54 +76182,USA,2018,Parkinson's Disease,Neurological,10.06,12.68,6.5,0-18,Male,234391,56.76,2.36,5.08,Surgery,46035.0,Yes,68.94,2277.0,5.12,40285.0,0.82,83.61 +76186,Brazil,2013,Zika,Autoimmune,11.72,5.41,5.24,0-18,Male,465138,59.33,0.85,4.38,Medication,4953.0,No,89.06,4864.0,0.15,74184.0,0.47,41.82 +76189,China,2018,Cholera,Respiratory,12.45,3.87,2.65,0-18,Other,606831,64.66,1.58,2.13,Medication,17575.0,No,57.62,215.0,8.02,82188.0,0.8,45.3 +76193,Saudi Arabia,2005,HIV/AIDS,Genetic,15.67,12.03,3.09,61+,Other,322718,87.07,3.51,9.39,Medication,1882.0,Yes,68.07,325.0,0.86,50289.0,0.51,28.79 +76200,Indonesia,2022,Malaria,Infectious,4.84,12.39,6.77,61+,Other,336761,89.5,1.06,8.11,Vaccination,15429.0,No,59.78,3079.0,2.55,30198.0,0.71,89.18 +76202,UK,2022,Polio,Neurological,10.99,1.18,2.31,19-35,Other,589668,64.86,2.22,7.56,Therapy,10883.0,No,86.94,1890.0,6.66,86662.0,0.72,83.56 +76212,Mexico,2013,Leprosy,Viral,8.29,11.96,4.42,61+,Male,669338,70.96,2.8,4.6,Vaccination,38656.0,No,95.37,1372.0,8.89,21099.0,0.8,80.3 +76222,France,2021,Alzheimer's Disease,Genetic,19.58,9.22,9.98,19-35,Male,973514,67.78,2.67,0.78,Therapy,31358.0,No,54.95,3314.0,8.61,40649.0,0.63,21.34 +76232,Saudi Arabia,2016,Leprosy,Bacterial,16.01,1.75,9.66,61+,Male,971373,53.44,1.8,4.3,Therapy,26771.0,No,65.97,775.0,7.45,95934.0,0.47,46.74 +76234,Turkey,2002,Polio,Chronic,9.04,8.42,5.79,36-60,Other,68705,98.02,2.12,3.25,Medication,23500.0,Yes,82.72,2984.0,0.42,93671.0,0.46,89.06 +76255,UK,2021,Malaria,Genetic,10.35,8.3,7.19,19-35,Female,608795,61.68,1.06,8.37,Medication,16108.0,No,87.42,1999.0,5.82,52156.0,0.49,85.52 +76257,Italy,2021,Hypertension,Genetic,9.84,8.2,3.38,19-35,Female,956993,97.42,3.83,6.51,Therapy,3955.0,No,90.44,4701.0,1.83,65363.0,0.55,71.89 +76263,Russia,2011,Measles,Infectious,10.35,9.57,0.36,0-18,Female,516972,57.25,3.26,1.08,Surgery,30160.0,Yes,88.44,2370.0,6.14,47635.0,0.4,74.09 +76284,Indonesia,2023,Leprosy,Neurological,0.84,3.44,8.22,61+,Female,934996,94.7,2.08,5.71,Therapy,32671.0,Yes,68.32,61.0,4.92,37668.0,0.52,23.82 +76285,USA,2003,Malaria,Chronic,4.31,5.84,7.64,36-60,Female,114630,95.83,4.47,6.39,Medication,34084.0,Yes,50.59,4371.0,0.57,56897.0,0.51,58.61 +76307,Italy,2005,Malaria,Viral,12.71,5.47,4.66,61+,Female,655957,98.33,4.19,8.99,Medication,383.0,No,98.74,4460.0,6.68,53863.0,0.43,25.02 +76310,Nigeria,2022,Parkinson's Disease,Respiratory,5.08,11.99,6.9,36-60,Female,286069,84.77,1.35,1.88,Medication,43203.0,No,88.31,124.0,0.44,43512.0,0.43,73.68 +76323,Brazil,2014,HIV/AIDS,Neurological,9.3,6.01,8.98,19-35,Other,785090,57.94,4.55,7.05,Vaccination,15234.0,No,62.49,2639.0,5.87,14372.0,0.89,21.16 +76335,Brazil,2019,Cholera,Respiratory,12.27,10.6,2.47,36-60,Male,54740,86.45,0.87,1.25,Medication,48031.0,Yes,72.15,4835.0,6.43,34431.0,0.89,40.33 +76338,Brazil,2003,Polio,Parasitic,9.9,13.09,3.31,0-18,Male,233967,90.0,4.44,4.77,Medication,43373.0,No,58.1,4713.0,7.3,67357.0,0.59,49.39 +76339,Italy,2008,Asthma,Neurological,8.66,9.93,2.96,61+,Male,441311,85.46,1.13,6.15,Vaccination,37827.0,No,81.88,2750.0,3.63,46447.0,0.61,84.81 +76343,China,2016,Influenza,Metabolic,9.05,5.17,0.14,36-60,Male,307258,53.45,1.46,8.83,Therapy,20940.0,Yes,93.37,1454.0,8.66,7948.0,0.9,27.97 +76351,Indonesia,2006,Hepatitis,Genetic,9.37,9.48,3.06,19-35,Other,380003,77.39,0.59,5.28,Surgery,21510.0,Yes,75.96,3227.0,2.26,78190.0,0.55,71.28 +76358,Brazil,2013,HIV/AIDS,Bacterial,18.09,2.01,4.54,61+,Male,934313,83.36,2.81,4.57,Medication,43795.0,No,90.41,2228.0,6.81,71933.0,0.77,42.73 +76359,USA,2015,HIV/AIDS,Chronic,4.65,9.99,5.08,61+,Female,719999,80.51,4.58,2.43,Medication,39111.0,Yes,71.71,4870.0,6.04,17495.0,0.71,65.21 +76360,Japan,2005,Zika,Parasitic,14.47,5.14,7.46,61+,Male,444144,69.84,0.85,7.11,Vaccination,27810.0,Yes,90.09,1195.0,5.93,37435.0,0.58,51.03 +76362,Mexico,2012,Measles,Metabolic,11.99,13.5,5.24,0-18,Male,802095,66.66,2.81,8.89,Therapy,35253.0,Yes,97.98,143.0,7.72,31574.0,0.61,30.06 +76369,USA,2011,HIV/AIDS,Infectious,0.27,3.23,4.12,0-18,Other,253036,94.13,0.9,9.71,Vaccination,12082.0,No,56.5,481.0,9.65,47947.0,0.79,86.87 +76379,Russia,2009,Hypertension,Viral,1.62,10.69,8.21,19-35,Male,35152,93.98,4.52,9.64,Vaccination,43854.0,No,73.8,2945.0,0.93,7617.0,0.57,63.27 +76387,Saudi Arabia,2021,Dengue,Autoimmune,10.01,13.54,5.02,61+,Other,712357,88.67,1.43,5.0,Surgery,48146.0,No,98.69,2652.0,5.47,76785.0,0.5,36.76 +76388,Germany,2001,Hepatitis,Bacterial,18.85,10.03,1.3,19-35,Male,305728,96.1,0.92,2.86,Therapy,18487.0,Yes,56.98,4185.0,1.82,77069.0,0.64,85.66 +76391,Turkey,2020,Influenza,Genetic,12.86,5.15,8.37,19-35,Female,434958,73.89,2.44,8.6,Surgery,6081.0,Yes,88.26,1584.0,4.68,57611.0,0.47,56.31 +76393,USA,2014,Cancer,Infectious,7.38,3.25,1.77,61+,Male,850099,75.26,3.09,5.1,Medication,25025.0,Yes,56.3,2570.0,7.02,12191.0,0.83,38.5 +76405,Turkey,2001,COVID-19,Cardiovascular,7.4,14.29,2.98,19-35,Other,532065,72.44,1.5,4.56,Surgery,44796.0,No,52.83,2845.0,1.1,68551.0,0.8,73.41 +76408,Japan,2019,Ebola,Autoimmune,11.97,1.25,2.58,19-35,Other,309007,82.07,4.85,3.13,Vaccination,33675.0,Yes,76.5,2227.0,8.58,98808.0,0.76,36.83 +76427,Japan,2007,Parkinson's Disease,Neurological,10.29,2.38,5.26,36-60,Female,353245,67.71,4.79,8.45,Medication,11487.0,No,86.96,3475.0,9.92,33285.0,0.85,85.62 +76437,Turkey,2023,Parkinson's Disease,Neurological,1.43,9.59,2.56,36-60,Other,689405,84.89,4.91,8.18,Surgery,25130.0,No,59.92,1174.0,2.27,68466.0,0.44,30.31 +76440,South Korea,2016,Zika,Metabolic,19.79,10.22,3.07,0-18,Female,769575,60.87,4.13,3.82,Vaccination,25524.0,No,59.85,809.0,6.69,85962.0,0.87,76.16 +76448,Russia,2005,Diabetes,Bacterial,12.56,8.5,7.23,61+,Female,920066,87.5,3.19,3.4,Medication,47753.0,Yes,54.41,3267.0,7.87,62877.0,0.78,86.37 +76452,Mexico,2001,Cholera,Parasitic,19.82,10.84,0.38,36-60,Other,509452,79.14,3.99,2.22,Therapy,19146.0,Yes,58.27,2933.0,5.48,17269.0,0.63,85.54 +76455,USA,2018,Malaria,Genetic,11.69,13.82,6.6,61+,Other,111420,90.75,4.29,9.06,Surgery,10321.0,No,87.28,2004.0,1.53,43963.0,0.68,71.06 +76462,Australia,2010,Diabetes,Genetic,10.34,5.2,5.97,36-60,Male,589331,61.78,3.2,2.1,Surgery,42444.0,Yes,65.54,3771.0,9.52,98664.0,0.62,65.71 +76468,UK,2000,Diabetes,Viral,19.09,4.01,9.05,36-60,Other,25839,51.31,5.0,9.25,Vaccination,43446.0,Yes,64.56,573.0,4.18,36296.0,0.41,41.34 +76470,Brazil,2023,Malaria,Autoimmune,19.78,14.97,9.59,19-35,Female,697443,95.54,2.15,6.62,Surgery,16935.0,Yes,85.08,4042.0,2.61,65359.0,0.88,66.65 +76476,Canada,2004,Diabetes,Genetic,13.83,9.41,0.61,61+,Male,32720,50.9,2.54,9.4,Therapy,2022.0,Yes,66.44,4930.0,2.29,43622.0,0.55,23.91 +76478,USA,2002,COVID-19,Respiratory,18.2,4.08,7.84,61+,Male,813947,57.78,1.63,4.28,Surgery,1775.0,No,93.69,2685.0,3.38,18324.0,0.62,53.94 +76489,UK,2000,Ebola,Respiratory,11.32,8.3,7.63,0-18,Male,371741,93.24,3.71,9.16,Therapy,37054.0,No,87.29,1051.0,7.07,43105.0,0.63,48.17 +76494,Indonesia,2015,Zika,Autoimmune,2.46,12.5,8.61,0-18,Female,94356,71.55,1.44,7.03,Vaccination,26850.0,Yes,59.64,4286.0,9.19,51472.0,0.49,82.62 +76506,Brazil,2020,HIV/AIDS,Parasitic,14.19,5.52,5.07,0-18,Male,515401,60.93,2.5,6.55,Surgery,3965.0,Yes,68.95,3966.0,5.23,43185.0,0.43,25.92 +76508,USA,2023,Hepatitis,Respiratory,15.54,10.57,3.74,36-60,Male,389910,92.84,4.1,7.24,Therapy,42412.0,No,84.97,1644.0,2.32,13199.0,0.56,38.13 +76512,Nigeria,2023,Cholera,Genetic,16.73,13.99,1.54,36-60,Male,518670,84.61,1.32,5.77,Vaccination,9372.0,No,51.77,1183.0,6.07,70636.0,0.58,43.14 +76514,Nigeria,2007,Asthma,Infectious,10.46,9.16,1.17,36-60,Female,119527,76.52,3.24,7.42,Vaccination,40466.0,Yes,52.11,861.0,3.77,92234.0,0.47,81.34 +76515,UK,2005,Influenza,Chronic,7.52,6.26,6.09,19-35,Female,613286,76.18,4.87,7.42,Surgery,9296.0,Yes,73.84,2748.0,8.81,59028.0,0.62,39.45 +76517,Japan,2019,Diabetes,Cardiovascular,16.51,7.83,4.01,61+,Male,474580,51.74,0.65,5.57,Therapy,13689.0,No,86.53,1896.0,3.62,15184.0,0.6,79.54 +76525,Brazil,2024,Hepatitis,Infectious,11.49,9.18,6.01,0-18,Male,758650,56.44,4.26,8.38,Vaccination,36695.0,No,91.09,1783.0,2.78,13320.0,0.79,57.54 +76528,Mexico,2015,Hepatitis,Neurological,19.6,1.38,5.24,19-35,Male,524333,55.16,1.54,9.35,Surgery,753.0,Yes,94.79,1779.0,1.64,81844.0,0.85,70.6 +76530,France,2022,Influenza,Autoimmune,1.47,14.82,3.0,0-18,Other,654139,99.0,4.42,1.63,Medication,17345.0,No,71.84,3338.0,5.98,95336.0,0.82,83.8 +76531,France,2001,Hypertension,Respiratory,19.16,5.87,5.02,0-18,Male,95523,50.5,4.64,8.93,Medication,14247.0,No,53.15,3956.0,9.01,70059.0,0.57,33.62 +76540,Brazil,2003,Influenza,Infectious,1.93,4.52,3.69,61+,Female,490070,69.19,1.25,6.18,Surgery,3868.0,No,92.54,3516.0,9.33,6436.0,0.68,82.3 +76542,Mexico,2001,Hypertension,Cardiovascular,11.52,9.81,5.67,19-35,Female,858747,64.31,4.52,6.02,Therapy,31796.0,No,68.38,2880.0,0.99,17177.0,0.56,56.26 +76543,Italy,2008,COVID-19,Autoimmune,6.2,11.27,1.02,61+,Male,385860,71.78,4.05,6.41,Medication,43660.0,No,83.77,1856.0,9.92,86521.0,0.74,88.65 +76548,UK,2024,Dengue,Autoimmune,15.46,2.9,6.26,36-60,Other,845271,84.55,2.04,3.43,Surgery,21793.0,Yes,83.15,3211.0,4.11,90565.0,0.57,81.37 +76554,Saudi Arabia,2012,Influenza,Parasitic,8.05,7.35,0.63,61+,Female,628017,60.57,0.74,4.31,Therapy,11009.0,Yes,50.52,4080.0,6.5,93566.0,0.46,41.13 +76559,Saudi Arabia,2004,Tuberculosis,Neurological,11.6,4.41,1.09,36-60,Male,612203,96.33,4.82,8.34,Therapy,18056.0,Yes,52.64,2494.0,9.08,7392.0,0.62,67.54 +76562,Nigeria,2011,Parkinson's Disease,Respiratory,17.71,4.17,3.46,0-18,Male,894631,68.97,4.27,7.82,Surgery,24910.0,Yes,59.48,2647.0,8.49,55144.0,0.6,27.93 +76568,Saudi Arabia,2022,Hypertension,Autoimmune,5.48,10.35,7.59,19-35,Other,113696,86.87,2.99,6.9,Surgery,19602.0,Yes,87.14,785.0,5.57,93496.0,0.43,28.44 +76580,Germany,2019,Cancer,Genetic,11.83,0.51,1.82,36-60,Other,527903,83.22,4.55,7.71,Medication,1191.0,No,80.04,2209.0,5.37,43347.0,0.83,71.28 +76581,India,2000,Hypertension,Genetic,11.14,12.58,7.65,0-18,Other,727218,68.62,1.39,0.84,Medication,21780.0,No,93.86,3055.0,2.57,9473.0,0.52,57.9 +76589,Saudi Arabia,2006,Influenza,Parasitic,7.21,2.66,9.14,61+,Female,282125,59.92,2.12,4.77,Therapy,6923.0,Yes,75.36,3298.0,2.52,42738.0,0.79,60.69 +76591,France,2018,Rabies,Parasitic,8.81,9.12,8.8,0-18,Male,774940,97.43,0.72,3.46,Vaccination,47327.0,Yes,87.07,2087.0,7.84,92112.0,0.81,48.39 +76593,Russia,2020,Hepatitis,Autoimmune,2.51,10.35,5.81,19-35,Male,383555,58.58,2.86,5.38,Therapy,28004.0,No,91.87,1917.0,3.75,66194.0,0.71,82.19 +76594,USA,2023,Influenza,Respiratory,6.38,5.12,4.3,19-35,Other,715191,99.29,4.92,8.57,Surgery,22635.0,No,63.42,4537.0,6.43,90634.0,0.67,55.51 +76600,Germany,2017,Tuberculosis,Genetic,14.74,11.39,0.24,61+,Female,411732,87.17,0.78,5.02,Surgery,42657.0,No,66.39,1831.0,3.61,54512.0,0.84,49.95 +76609,Japan,2003,Hepatitis,Infectious,19.94,11.74,1.96,0-18,Male,856959,94.98,0.67,2.5,Vaccination,42472.0,Yes,75.83,2167.0,5.51,42671.0,0.51,66.87 +76616,Russia,2023,Influenza,Metabolic,18.25,1.17,7.22,19-35,Male,374274,84.12,1.64,9.99,Therapy,9583.0,Yes,59.26,3196.0,5.08,49891.0,0.79,75.76 +76624,Argentina,2007,Malaria,Infectious,0.18,8.71,8.88,0-18,Other,826086,72.25,2.37,1.46,Therapy,25047.0,No,72.49,1091.0,6.46,46282.0,0.73,66.49 +76625,India,2002,Alzheimer's Disease,Infectious,19.02,7.49,7.69,61+,Other,317482,85.86,1.59,4.33,Therapy,12877.0,No,59.51,2995.0,5.7,86817.0,0.44,69.52 +76626,China,2020,Hepatitis,Genetic,2.89,12.28,7.64,0-18,Male,940716,84.18,4.23,4.1,Medication,31837.0,Yes,66.75,2792.0,5.19,73353.0,0.68,74.12 +76632,Indonesia,2000,Polio,Neurological,11.9,10.67,6.2,19-35,Female,338045,92.13,4.23,8.79,Medication,26087.0,Yes,89.74,2476.0,2.27,51229.0,0.56,74.93 +76635,Canada,2000,Polio,Metabolic,16.4,10.21,6.24,36-60,Other,275156,58.77,1.68,2.02,Therapy,47727.0,No,53.25,1641.0,5.38,92092.0,0.81,66.24 +76640,Italy,2019,COVID-19,Cardiovascular,18.81,2.07,7.13,61+,Other,321664,51.06,3.54,0.9,Vaccination,231.0,No,83.71,2690.0,3.77,32328.0,0.83,35.87 +76642,India,2019,Polio,Genetic,11.37,11.9,3.3,61+,Other,142301,54.35,3.06,7.79,Therapy,19457.0,Yes,81.8,3734.0,8.96,92565.0,0.67,87.86 +76651,Canada,2001,Hepatitis,Infectious,12.13,10.29,7.44,36-60,Other,136166,80.1,4.33,9.93,Vaccination,9896.0,Yes,54.4,1952.0,3.09,5388.0,0.87,38.88 +76653,Russia,2012,Leprosy,Bacterial,5.89,1.66,0.69,36-60,Male,936585,88.72,1.7,1.6,Surgery,28845.0,No,65.68,3179.0,9.64,17483.0,0.68,58.12 +76656,Argentina,2023,Hypertension,Autoimmune,16.69,9.82,3.34,0-18,Male,181777,80.53,3.05,4.62,Vaccination,17081.0,Yes,77.73,4522.0,3.21,30196.0,0.61,82.55 +76668,South Korea,2007,Diabetes,Autoimmune,6.68,1.65,9.43,36-60,Other,90616,58.05,3.25,8.73,Therapy,46455.0,No,93.05,2438.0,4.63,24556.0,0.8,52.91 +76669,UK,2005,Polio,Chronic,2.47,9.44,9.42,36-60,Other,597533,65.31,2.44,8.53,Therapy,7632.0,No,79.38,4864.0,5.0,79987.0,0.7,60.18 +76672,South Korea,2019,Hepatitis,Genetic,10.96,12.17,8.53,0-18,Male,637534,86.1,1.25,7.44,Medication,44629.0,No,64.52,906.0,1.55,42856.0,0.66,73.02 +76673,Japan,2010,Dengue,Infectious,3.68,13.06,8.31,36-60,Male,930238,56.36,4.97,6.93,Vaccination,19848.0,Yes,61.26,3817.0,8.32,97275.0,0.7,29.47 +76685,Saudi Arabia,2008,HIV/AIDS,Parasitic,1.55,7.75,2.68,19-35,Female,342132,81.58,3.01,6.65,Vaccination,35703.0,No,57.32,3780.0,3.75,41918.0,0.77,83.76 +76691,Turkey,2006,Hypertension,Cardiovascular,6.19,8.76,3.03,36-60,Male,637964,89.16,2.4,4.58,Surgery,26341.0,No,62.68,1601.0,6.65,90405.0,0.8,71.08 +76692,India,2010,Influenza,Viral,17.62,7.21,7.67,36-60,Male,401501,84.63,0.76,2.39,Vaccination,15461.0,No,63.01,4738.0,6.26,62057.0,0.41,24.02 +76695,Indonesia,2011,HIV/AIDS,Autoimmune,7.24,11.0,3.26,19-35,Female,373775,68.65,3.32,3.28,Surgery,28785.0,Yes,59.82,2400.0,5.53,40948.0,0.75,29.34 +76696,Japan,2009,COVID-19,Chronic,17.39,8.54,8.58,19-35,Female,853659,54.25,3.98,7.51,Medication,42288.0,Yes,94.08,1325.0,5.03,50568.0,0.86,26.94 +76698,China,2003,Alzheimer's Disease,Neurological,19.53,13.44,6.58,19-35,Male,669401,66.77,1.45,0.76,Medication,21057.0,No,59.74,4934.0,7.5,86569.0,0.69,35.32 +76701,USA,2006,Rabies,Respiratory,0.38,10.53,0.81,0-18,Female,66362,79.13,4.56,5.63,Medication,9446.0,Yes,97.78,2550.0,6.91,5984.0,0.8,87.89 +76710,Indonesia,2008,Leprosy,Genetic,6.46,9.45,8.18,0-18,Male,600491,80.74,3.03,8.2,Therapy,29336.0,No,82.66,3644.0,6.76,45368.0,0.59,78.21 +76711,Mexico,2019,Asthma,Neurological,11.64,12.26,1.53,61+,Other,489665,94.75,3.94,8.61,Medication,48837.0,No,96.18,2473.0,3.43,91846.0,0.59,84.95 +76713,Australia,2015,Leprosy,Parasitic,12.53,13.05,1.52,36-60,Female,258171,65.26,3.91,9.41,Therapy,6600.0,No,81.16,4352.0,0.84,88844.0,0.7,88.19 +76721,China,2021,Hepatitis,Chronic,11.31,10.17,6.46,0-18,Male,471305,86.68,4.03,4.19,Surgery,11293.0,No,52.5,4208.0,8.98,9261.0,0.6,26.26 +76727,Russia,2007,Parkinson's Disease,Parasitic,9.91,2.66,7.49,36-60,Female,689601,69.38,4.0,9.65,Vaccination,23072.0,Yes,97.82,1227.0,4.43,50108.0,0.73,64.66 +76730,Mexico,2022,Malaria,Viral,12.12,0.87,5.48,19-35,Male,878702,55.97,4.7,0.67,Surgery,23650.0,Yes,93.36,3096.0,5.77,57307.0,0.61,63.93 +76737,Canada,2019,HIV/AIDS,Cardiovascular,18.57,9.46,9.97,61+,Female,729351,60.49,3.41,3.28,Vaccination,37516.0,No,56.78,1117.0,8.09,70864.0,0.88,73.09 +76738,Germany,2003,Hypertension,Cardiovascular,16.97,3.84,1.9,61+,Other,467998,82.76,1.02,9.76,Vaccination,20298.0,No,71.72,1766.0,5.95,59269.0,0.54,87.83 +76746,Germany,2015,Rabies,Autoimmune,6.86,8.23,4.22,61+,Female,653175,83.87,4.28,3.83,Vaccination,6678.0,Yes,66.09,4781.0,4.61,14806.0,0.41,66.59 +76755,India,2001,Parkinson's Disease,Autoimmune,6.77,0.2,3.57,19-35,Female,867578,98.34,2.75,5.59,Surgery,20390.0,No,91.33,2614.0,2.65,9006.0,0.43,36.16 +76757,Canada,2008,Leprosy,Bacterial,14.79,1.04,8.2,19-35,Other,292597,57.47,4.56,7.63,Medication,21137.0,Yes,96.57,4387.0,1.36,56542.0,0.63,56.86 +76759,Canada,2021,Influenza,Cardiovascular,7.96,13.68,2.53,61+,Female,710726,62.69,1.67,0.89,Therapy,37312.0,Yes,58.6,1706.0,0.96,47672.0,0.79,76.63 +76760,Brazil,2000,Ebola,Metabolic,11.34,6.84,1.85,61+,Male,644648,52.44,2.97,2.32,Vaccination,47997.0,No,59.39,2062.0,1.09,7519.0,0.59,62.33 +76767,Italy,2016,Influenza,Respiratory,9.62,10.47,7.84,36-60,Other,132104,68.59,2.01,9.31,Therapy,46818.0,No,85.79,2767.0,0.87,75419.0,0.77,86.37 +76768,Indonesia,2017,Asthma,Bacterial,3.27,11.23,8.75,61+,Other,395310,54.31,2.13,7.27,Therapy,10635.0,Yes,89.67,1120.0,7.97,62675.0,0.7,82.4 +76769,India,2006,Rabies,Metabolic,18.12,12.04,1.66,19-35,Other,43641,67.29,3.93,9.47,Surgery,10509.0,Yes,86.15,2033.0,6.15,16448.0,0.54,68.66 +76787,UK,2005,Leprosy,Viral,16.11,1.45,6.12,0-18,Male,918706,89.34,4.12,6.11,Vaccination,45796.0,Yes,84.73,2682.0,4.75,1816.0,0.67,43.57 +76794,Nigeria,2005,Asthma,Respiratory,16.15,2.87,4.33,36-60,Male,455322,68.63,1.75,9.35,Therapy,5256.0,Yes,54.69,1672.0,3.01,6367.0,0.46,49.76 +76797,Russia,2015,Polio,Cardiovascular,8.06,10.93,2.81,61+,Other,218986,74.15,0.91,9.45,Medication,48167.0,No,65.09,702.0,8.63,28318.0,0.67,36.54 +76799,Indonesia,2000,Polio,Infectious,7.63,2.26,5.17,0-18,Male,394071,93.9,2.48,6.96,Medication,19329.0,Yes,89.33,3532.0,6.83,95556.0,0.45,37.35 +76804,Canada,2010,Influenza,Metabolic,10.96,8.32,1.86,0-18,Male,52321,84.63,4.21,2.84,Medication,36899.0,Yes,91.7,1128.0,2.62,29748.0,0.54,41.34 +76808,France,2004,Rabies,Viral,16.21,12.52,9.43,0-18,Female,365736,80.7,0.64,8.49,Medication,4214.0,Yes,65.96,1828.0,8.31,43665.0,0.47,55.77 +76814,Turkey,2000,Dengue,Cardiovascular,12.93,14.62,5.18,0-18,Female,942810,50.47,3.9,0.97,Medication,34390.0,Yes,82.2,4604.0,1.25,84724.0,0.58,74.4 +76815,Italy,2017,Cancer,Viral,6.06,8.82,8.75,36-60,Other,924345,98.82,2.99,8.95,Vaccination,31306.0,Yes,75.67,4420.0,7.24,90690.0,0.49,82.68 +76818,Mexico,2006,Measles,Genetic,6.36,4.56,4.34,19-35,Female,506145,97.54,0.83,9.14,Medication,44380.0,Yes,92.4,2311.0,7.16,45005.0,0.74,73.7 +76821,UK,2009,Polio,Viral,19.4,7.82,6.61,19-35,Female,488624,87.44,2.34,3.27,Medication,44302.0,Yes,76.72,1320.0,4.45,96595.0,0.57,73.47 +76822,Brazil,2006,HIV/AIDS,Cardiovascular,9.13,1.79,1.71,61+,Other,204704,66.68,3.56,1.52,Surgery,39903.0,Yes,90.96,4744.0,9.92,37860.0,0.43,58.3 +76823,Italy,2024,Parkinson's Disease,Genetic,2.2,13.65,3.49,36-60,Male,842734,58.11,2.78,2.61,Vaccination,40865.0,Yes,61.59,3361.0,3.71,21283.0,0.53,54.37 +76824,Italy,2021,Alzheimer's Disease,Bacterial,5.23,13.69,3.94,0-18,Other,934335,52.11,2.81,9.5,Vaccination,14978.0,No,79.26,4378.0,9.8,9905.0,0.42,64.63 +76827,Indonesia,2000,Dengue,Chronic,11.1,12.78,3.37,0-18,Female,350868,78.56,4.31,9.23,Surgery,49518.0,No,57.08,2013.0,0.26,88589.0,0.67,84.49 +76829,Turkey,2010,Influenza,Parasitic,2.85,9.51,3.01,19-35,Other,620833,56.03,1.36,8.49,Therapy,4705.0,Yes,98.82,4363.0,3.94,19534.0,0.67,36.63 +76831,Italy,2016,Rabies,Bacterial,19.22,8.3,6.98,0-18,Female,567526,50.0,3.23,7.68,Medication,10127.0,No,74.13,25.0,5.71,28668.0,0.68,43.14 +76832,Italy,2011,Leprosy,Neurological,1.42,13.15,1.43,0-18,Male,530236,87.41,1.07,9.15,Medication,49410.0,Yes,70.93,2136.0,4.3,3559.0,0.43,69.56 +76841,Mexico,2000,Rabies,Autoimmune,15.48,7.43,7.44,19-35,Female,78308,70.22,4.06,3.81,Vaccination,28243.0,Yes,51.44,2464.0,8.46,71292.0,0.67,47.48 +76842,South Korea,2002,HIV/AIDS,Autoimmune,4.06,2.86,9.84,0-18,Other,951043,73.94,2.02,4.61,Therapy,7644.0,Yes,92.06,958.0,5.9,57661.0,0.73,32.39 +76846,Argentina,2018,Asthma,Parasitic,9.69,13.05,5.44,0-18,Female,325243,81.73,4.59,6.24,Therapy,13856.0,Yes,65.59,4774.0,0.93,72054.0,0.57,32.43 +76847,Russia,2015,Ebola,Metabolic,15.23,11.48,0.5,36-60,Male,86882,61.42,0.97,7.3,Vaccination,22108.0,Yes,64.05,4237.0,8.6,73556.0,0.86,38.5 +76853,Nigeria,2015,Parkinson's Disease,Autoimmune,0.9,9.62,6.8,36-60,Male,226106,99.09,0.9,4.49,Therapy,32897.0,Yes,80.98,1997.0,1.66,63947.0,0.61,49.37 +76854,Russia,2015,Dengue,Genetic,2.42,13.48,9.85,0-18,Other,833242,58.1,0.67,2.57,Surgery,17763.0,No,95.48,2419.0,8.3,61142.0,0.81,45.89 +76856,Indonesia,2014,Parkinson's Disease,Autoimmune,11.6,1.76,7.79,0-18,Female,316764,58.34,3.11,2.19,Medication,628.0,No,95.57,4406.0,4.21,84754.0,0.51,52.58 +76866,Turkey,2002,Cancer,Bacterial,1.08,11.81,5.45,61+,Male,119529,82.25,0.63,9.26,Therapy,49198.0,No,58.81,725.0,5.41,51065.0,0.48,67.13 +76872,India,2023,Ebola,Neurological,18.23,14.31,1.33,36-60,Male,566705,65.02,4.42,0.83,Therapy,40045.0,No,57.89,1618.0,6.37,21444.0,0.7,86.2 +76874,Australia,2005,Influenza,Viral,14.15,3.37,7.67,19-35,Female,539986,59.59,0.7,3.67,Vaccination,11869.0,No,94.21,3670.0,8.06,59444.0,0.86,32.1 +76880,Indonesia,2020,Ebola,Metabolic,7.99,13.45,0.75,61+,Other,559246,90.21,4.61,4.48,Therapy,37809.0,No,59.34,4689.0,3.86,46408.0,0.51,34.64 +76885,USA,2021,Diabetes,Neurological,14.4,8.2,7.34,0-18,Female,244230,87.44,4.84,8.56,Therapy,14575.0,Yes,50.64,3826.0,2.67,76973.0,0.88,61.16 +76886,Argentina,2012,Leprosy,Bacterial,19.05,5.18,3.14,0-18,Female,145118,59.07,3.28,0.96,Medication,29843.0,Yes,51.74,2055.0,10.0,79563.0,0.81,71.76 +76888,Japan,2015,Parkinson's Disease,Infectious,12.42,13.86,9.94,19-35,Male,580632,98.83,0.74,5.73,Vaccination,12570.0,No,92.18,2226.0,2.56,50153.0,0.87,75.33 +76906,Italy,2023,Polio,Cardiovascular,0.61,11.0,6.2,61+,Female,108668,70.08,2.31,5.61,Therapy,14268.0,No,52.75,3102.0,5.8,15764.0,0.59,35.78 +76907,India,2011,HIV/AIDS,Genetic,17.83,8.73,0.11,19-35,Other,282830,81.64,4.47,0.82,Therapy,35922.0,No,86.97,147.0,7.01,78371.0,0.45,31.45 +76910,USA,2001,Hepatitis,Autoimmune,6.97,3.36,2.08,61+,Other,935994,62.6,4.27,3.63,Surgery,38332.0,No,71.35,471.0,3.43,20832.0,0.84,35.31 +76912,Russia,2017,Hypertension,Metabolic,16.09,13.54,6.11,19-35,Male,468620,83.75,4.14,4.22,Surgery,5366.0,Yes,58.6,2683.0,9.48,15241.0,0.57,20.08 +76914,Italy,2021,Ebola,Metabolic,15.61,14.66,4.12,0-18,Female,743296,87.16,2.43,9.2,Vaccination,41355.0,No,67.04,1421.0,3.69,59810.0,0.62,70.11 +76917,China,2018,Dengue,Genetic,5.07,4.36,7.26,19-35,Male,977530,50.07,2.42,8.48,Medication,6845.0,No,72.35,1734.0,5.29,28279.0,0.58,33.39 +76918,France,2019,Influenza,Chronic,7.61,14.79,0.72,61+,Female,916832,54.26,4.31,3.92,Medication,9167.0,Yes,64.18,531.0,1.08,10225.0,0.7,75.89 +76919,India,2022,Malaria,Respiratory,12.11,14.63,3.41,19-35,Other,409057,91.26,4.31,7.39,Medication,44096.0,No,56.3,4286.0,2.21,51784.0,0.74,61.34 +76928,South Africa,2009,COVID-19,Infectious,10.11,6.73,0.89,0-18,Female,837802,56.65,1.2,3.0,Surgery,21504.0,No,96.82,981.0,0.71,73786.0,0.61,39.95 +76930,Germany,2008,Tuberculosis,Respiratory,18.94,7.21,6.66,0-18,Other,443123,97.29,3.18,3.97,Vaccination,5529.0,Yes,60.24,14.0,4.92,13739.0,0.75,74.89 +76934,Argentina,2005,HIV/AIDS,Autoimmune,2.15,12.65,8.05,0-18,Male,981041,57.44,4.1,9.49,Therapy,4543.0,No,63.37,3597.0,0.72,34985.0,0.61,40.87 +76935,Brazil,2003,Asthma,Respiratory,0.29,4.0,5.4,0-18,Female,782793,97.76,0.52,9.45,Therapy,31168.0,No,76.74,710.0,6.04,40828.0,0.79,72.94 +76940,Italy,2019,Tuberculosis,Viral,7.08,13.05,0.24,19-35,Male,512131,60.84,0.97,7.92,Therapy,19766.0,Yes,83.95,1280.0,8.48,31269.0,0.82,29.11 +76942,Brazil,2015,Hepatitis,Metabolic,17.13,9.96,6.75,19-35,Other,660034,88.7,2.67,8.35,Therapy,2653.0,No,93.81,9.0,8.32,94921.0,0.88,50.67 +76944,Saudi Arabia,2006,Cholera,Viral,10.7,11.59,5.17,61+,Female,596594,97.51,4.37,2.73,Vaccination,254.0,Yes,94.23,2598.0,7.29,96211.0,0.76,59.07 +76952,Mexico,2020,Dengue,Autoimmune,14.57,10.39,9.72,36-60,Male,141279,55.96,4.49,7.24,Medication,5325.0,No,71.91,1341.0,7.59,79702.0,0.58,72.61 +76955,Canada,2018,Rabies,Respiratory,12.39,12.77,2.27,0-18,Female,351533,63.63,2.93,7.34,Surgery,2257.0,No,88.54,4177.0,6.4,72315.0,0.72,25.19 +76963,Italy,2008,Rabies,Viral,11.73,3.2,3.4,19-35,Female,258332,56.06,2.21,6.43,Therapy,39003.0,Yes,75.24,3472.0,1.56,62689.0,0.73,74.77 +76965,Italy,2018,Dengue,Metabolic,9.34,6.82,7.96,0-18,Female,762167,57.24,3.69,2.45,Medication,33836.0,No,87.8,3100.0,9.38,81526.0,0.67,78.74 +76976,South Africa,2009,Zika,Autoimmune,0.72,11.63,6.34,19-35,Male,94086,67.57,4.01,6.53,Vaccination,22869.0,Yes,81.06,3178.0,8.9,95280.0,0.68,32.8 +76985,Canada,2001,Alzheimer's Disease,Viral,14.74,3.62,8.2,0-18,Female,34824,61.65,0.6,8.62,Surgery,25222.0,No,52.04,2400.0,4.13,45916.0,0.76,55.28 +76986,USA,2006,Rabies,Viral,19.0,9.81,7.1,0-18,Female,508727,83.92,3.45,9.11,Vaccination,44278.0,No,84.56,3991.0,2.18,12199.0,0.67,76.28 +76987,Turkey,2005,Tuberculosis,Chronic,2.14,5.49,8.52,0-18,Male,778239,74.4,1.66,0.65,Vaccination,41097.0,No,53.92,2697.0,1.6,48527.0,0.42,28.65 +76995,Turkey,2000,Ebola,Parasitic,14.44,1.11,3.51,0-18,Other,791304,59.76,1.93,6.25,Medication,44230.0,Yes,71.66,4824.0,1.99,93167.0,0.5,62.65 +76998,Argentina,2019,Asthma,Genetic,10.3,6.46,6.45,61+,Male,659634,73.29,1.82,8.74,Surgery,3045.0,No,58.91,4886.0,3.24,70767.0,0.74,45.52 +76999,Turkey,2021,Rabies,Parasitic,3.03,12.19,8.34,0-18,Male,123717,83.35,2.84,9.73,Surgery,20406.0,No,54.78,4475.0,3.29,14443.0,0.43,61.89 +77010,Saudi Arabia,2021,Asthma,Genetic,11.63,10.0,3.38,61+,Male,183272,75.86,2.53,1.79,Medication,25594.0,No,65.77,3244.0,4.84,38466.0,0.67,74.44 +77015,Brazil,2004,Asthma,Infectious,12.02,3.92,6.25,61+,Female,595659,59.8,1.21,2.52,Vaccination,33956.0,No,65.81,3031.0,6.19,79262.0,0.43,64.12 +77016,France,2017,Dengue,Autoimmune,1.52,10.84,9.63,61+,Female,394142,72.07,1.68,9.08,Medication,21945.0,No,59.35,40.0,7.7,30279.0,0.65,61.04 +77019,Indonesia,2007,COVID-19,Cardiovascular,5.92,5.1,0.19,61+,Other,341537,81.17,1.17,4.58,Therapy,43852.0,Yes,74.9,1433.0,5.1,24499.0,0.74,67.91 +77021,Turkey,2004,Polio,Metabolic,4.84,4.77,3.14,0-18,Other,540808,67.22,0.63,6.98,Vaccination,290.0,No,63.35,1383.0,7.81,17868.0,0.68,76.49 +77026,Russia,2024,COVID-19,Chronic,18.83,7.19,4.1,19-35,Other,626776,98.89,4.37,4.68,Medication,46792.0,No,77.69,3899.0,2.64,40313.0,0.62,75.24 +77027,France,2004,Ebola,Neurological,14.79,10.52,1.75,0-18,Female,738237,55.17,4.77,7.0,Surgery,38915.0,Yes,73.42,2867.0,0.03,25032.0,0.66,58.69 +77037,India,2021,Rabies,Genetic,12.9,1.41,0.28,0-18,Other,999763,93.14,2.35,3.13,Therapy,44601.0,No,74.47,1094.0,7.7,46166.0,0.5,30.09 +77044,Indonesia,2013,Hepatitis,Neurological,17.97,10.67,7.29,36-60,Male,391740,58.77,2.29,3.45,Surgery,1029.0,Yes,98.5,2096.0,2.24,16959.0,0.57,21.51 +77050,Italy,2020,Dengue,Infectious,8.45,14.74,2.49,61+,Male,633556,55.82,0.94,2.33,Surgery,38514.0,Yes,56.47,1741.0,6.48,52113.0,0.81,76.76 +77064,Indonesia,2019,Polio,Chronic,16.03,0.57,3.33,0-18,Other,472338,63.04,2.17,0.74,Medication,43859.0,Yes,62.92,2522.0,3.93,17834.0,0.83,56.36 +77065,Russia,2010,HIV/AIDS,Respiratory,15.87,5.87,8.47,0-18,Other,82373,53.2,4.5,0.59,Therapy,32474.0,No,65.34,1927.0,8.84,11966.0,0.64,81.83 +77066,Russia,2004,Measles,Viral,9.15,0.67,1.56,36-60,Female,813822,72.88,0.74,6.89,Surgery,28115.0,No,83.15,4608.0,1.61,13628.0,0.54,20.51 +77068,UK,2003,Leprosy,Neurological,16.96,7.26,8.23,61+,Female,211172,90.81,4.81,2.53,Medication,10047.0,Yes,50.02,3767.0,9.89,56442.0,0.42,88.17 +77088,Germany,2001,Zika,Metabolic,5.38,0.28,8.17,0-18,Other,108346,96.62,1.86,7.31,Medication,8057.0,Yes,92.13,4652.0,5.26,94128.0,0.55,57.97 +77093,Italy,2001,Cholera,Autoimmune,13.09,5.63,7.75,19-35,Male,855824,74.68,2.16,8.43,Medication,30087.0,Yes,57.69,1157.0,5.24,30713.0,0.88,75.83 +77094,Brazil,2012,Zika,Parasitic,15.89,6.5,8.42,19-35,Male,107242,54.66,2.82,6.36,Vaccination,41626.0,Yes,75.32,3661.0,9.62,69860.0,0.65,87.94 +77096,China,2016,Ebola,Chronic,17.16,9.52,4.47,61+,Female,834684,92.62,0.83,1.72,Therapy,39359.0,Yes,93.94,212.0,9.46,32234.0,0.69,53.11 +77110,India,2021,Parkinson's Disease,Parasitic,17.83,1.83,3.35,19-35,Other,529565,68.05,2.28,5.32,Medication,3172.0,Yes,74.57,3524.0,6.52,99967.0,0.59,46.47 +77121,UK,2010,Alzheimer's Disease,Autoimmune,10.36,11.61,5.19,19-35,Female,360904,74.58,3.78,5.85,Therapy,40151.0,No,69.75,3178.0,6.98,21584.0,0.54,58.78 +77125,Russia,2016,Hypertension,Neurological,0.93,1.15,8.85,19-35,Male,369594,79.21,4.5,2.14,Therapy,19674.0,Yes,72.39,1363.0,1.89,31283.0,0.77,32.56 +77127,Germany,2018,Influenza,Metabolic,8.77,5.2,7.61,61+,Female,173773,90.29,4.83,5.05,Therapy,6251.0,No,75.61,465.0,3.09,20137.0,0.78,66.17 +77129,India,2020,Hypertension,Viral,10.74,8.92,8.61,61+,Male,219184,50.45,3.9,4.56,Therapy,16502.0,Yes,60.55,254.0,4.32,8158.0,0.82,29.7 +77137,Argentina,2020,Influenza,Genetic,16.04,0.4,9.12,61+,Other,718937,54.57,1.84,3.24,Medication,37372.0,Yes,84.75,3314.0,0.22,71199.0,0.57,34.01 +77146,Argentina,2004,Ebola,Respiratory,12.0,7.93,8.17,19-35,Male,295414,88.06,3.86,3.92,Medication,37652.0,No,80.4,4686.0,2.17,35990.0,0.72,54.97 +77152,Russia,2003,Tuberculosis,Parasitic,5.44,6.69,8.38,36-60,Male,74802,95.4,0.8,9.14,Vaccination,3886.0,Yes,54.68,3189.0,6.48,10968.0,0.74,22.85 +77154,South Korea,2009,Influenza,Cardiovascular,10.1,0.74,1.56,61+,Other,464194,76.57,0.62,6.83,Therapy,38643.0,No,53.79,2814.0,4.79,25565.0,0.62,33.7 +77157,Indonesia,2005,Zika,Infectious,4.21,3.76,7.26,0-18,Male,475877,75.05,1.72,7.57,Vaccination,18767.0,No,52.79,457.0,6.88,29237.0,0.77,32.48 +77159,Turkey,2002,Cholera,Chronic,0.95,8.68,8.67,0-18,Female,472697,64.38,3.45,5.79,Surgery,44362.0,No,69.09,1441.0,8.25,95677.0,0.67,33.67 +77163,Italy,2011,Cancer,Infectious,18.11,9.49,2.62,0-18,Male,719000,87.38,2.14,6.8,Therapy,22837.0,Yes,59.15,1024.0,3.59,47098.0,0.64,66.56 +77170,USA,2024,Dengue,Chronic,15.64,7.37,1.86,36-60,Male,735023,57.53,2.17,6.07,Therapy,38266.0,No,84.39,3378.0,9.13,76629.0,0.6,32.87 +77176,UK,2000,Asthma,Chronic,13.64,6.27,8.91,36-60,Female,721303,55.47,2.57,5.51,Surgery,14531.0,Yes,88.35,3810.0,1.7,65715.0,0.45,26.67 +77178,Nigeria,2007,Hepatitis,Bacterial,3.77,2.48,2.6,61+,Male,112704,57.91,2.9,1.69,Vaccination,17395.0,No,76.42,4621.0,5.75,84175.0,0.88,71.82 +77180,Turkey,2004,Tuberculosis,Chronic,6.78,8.02,2.09,61+,Female,270158,65.28,5.0,6.07,Therapy,23436.0,No,85.07,2036.0,1.94,76509.0,0.77,76.81 +77181,Turkey,2002,Rabies,Bacterial,17.69,6.35,5.8,36-60,Female,629765,91.25,2.38,8.7,Surgery,39656.0,Yes,53.4,3242.0,7.49,46050.0,0.66,50.96 +77185,Turkey,2006,Diabetes,Bacterial,2.52,3.77,2.76,61+,Female,376075,90.05,1.34,4.76,Medication,31703.0,No,69.25,2047.0,5.35,83601.0,0.87,76.46 +77187,UK,2007,Leprosy,Autoimmune,6.06,4.43,2.24,0-18,Female,75502,68.3,3.99,2.18,Therapy,26946.0,Yes,86.84,3977.0,0.05,15393.0,0.82,74.11 +77189,Turkey,2001,HIV/AIDS,Infectious,9.56,13.63,0.95,61+,Other,404856,60.49,4.92,0.75,Medication,10836.0,No,89.1,1921.0,6.63,4107.0,0.87,70.22 +77191,Nigeria,2024,Ebola,Cardiovascular,14.34,3.09,1.55,19-35,Female,249709,98.92,2.78,8.0,Vaccination,287.0,Yes,98.96,4561.0,9.02,57374.0,0.52,54.21 +77195,Nigeria,2010,Dengue,Metabolic,9.04,6.13,0.35,19-35,Male,817764,81.88,1.91,4.68,Vaccination,35203.0,No,80.93,75.0,6.58,56068.0,0.69,42.33 +77202,Russia,2020,Cholera,Viral,7.3,6.51,7.41,0-18,Male,855687,81.95,3.62,9.6,Vaccination,4795.0,Yes,85.62,296.0,0.07,27489.0,0.71,59.87 +77203,Australia,2003,Hypertension,Autoimmune,5.19,1.53,4.23,0-18,Other,216077,88.96,3.22,6.42,Vaccination,312.0,No,62.66,1014.0,1.84,84492.0,0.55,62.09 +77210,Indonesia,2020,Asthma,Viral,17.77,1.48,2.57,36-60,Other,603376,85.94,2.99,4.55,Medication,5719.0,Yes,77.94,1563.0,7.38,8259.0,0.66,61.7 +77211,Brazil,2003,Influenza,Parasitic,13.77,12.12,0.81,0-18,Female,762043,69.14,1.41,9.75,Surgery,43678.0,No,60.73,1947.0,8.66,21719.0,0.72,44.52 +77215,Japan,2005,Cancer,Autoimmune,19.61,1.88,7.54,61+,Female,729163,62.14,3.19,6.84,Therapy,37974.0,Yes,74.41,2829.0,5.36,51219.0,0.89,79.49 +77218,Mexico,2005,Leprosy,Autoimmune,1.17,4.34,7.28,36-60,Male,610359,58.6,2.75,6.94,Medication,26465.0,No,92.92,231.0,3.75,94224.0,0.66,56.38 +77222,South Africa,2006,Hepatitis,Metabolic,17.5,8.79,4.81,61+,Female,454942,90.35,2.21,3.49,Surgery,42394.0,Yes,92.11,3962.0,4.81,98423.0,0.5,20.83 +77233,UK,2008,Malaria,Autoimmune,9.44,5.28,9.8,36-60,Male,69954,65.93,2.47,1.34,Therapy,46192.0,No,83.14,4225.0,5.83,90724.0,0.73,66.26 +77235,Japan,2017,Malaria,Bacterial,15.8,6.39,2.12,19-35,Female,2146,69.9,0.81,7.32,Vaccination,35552.0,No,58.54,958.0,5.15,75539.0,0.48,27.71 +77240,Argentina,2016,Influenza,Viral,12.98,8.63,9.82,61+,Female,951364,86.5,1.96,5.42,Therapy,111.0,Yes,76.93,4230.0,2.89,84239.0,0.71,28.96 +77241,Saudi Arabia,2017,Measles,Neurological,0.77,8.08,1.17,61+,Male,949631,82.96,1.72,9.06,Surgery,48797.0,Yes,96.8,1769.0,7.69,32182.0,0.62,84.73 +77243,Turkey,2001,Parkinson's Disease,Cardiovascular,8.69,4.52,5.1,19-35,Female,882677,99.11,2.3,2.47,Vaccination,29296.0,Yes,87.56,2850.0,0.5,12358.0,0.49,56.69 +77247,China,2001,Diabetes,Cardiovascular,8.55,7.81,5.78,0-18,Other,727690,96.08,4.69,7.57,Medication,37837.0,No,59.77,1640.0,5.4,49417.0,0.44,46.67 +77250,USA,2016,Zika,Metabolic,4.23,7.5,1.02,36-60,Female,557719,86.11,3.04,6.52,Therapy,26421.0,Yes,74.34,1641.0,9.04,28143.0,0.78,85.25 +77255,USA,2008,Diabetes,Cardiovascular,18.49,10.83,6.21,19-35,Female,725670,87.99,4.46,1.19,Therapy,44518.0,Yes,52.01,909.0,9.6,99917.0,0.6,21.57 +77258,UK,2002,Rabies,Bacterial,15.37,5.75,3.33,61+,Female,415938,83.98,1.55,0.58,Medication,15349.0,Yes,58.17,2545.0,8.36,84060.0,0.9,44.27 +77261,Argentina,2000,Tuberculosis,Infectious,8.76,4.9,8.0,0-18,Other,654648,69.65,1.08,5.31,Surgery,30439.0,Yes,53.97,467.0,9.65,84513.0,0.88,30.51 +77262,Japan,2010,Malaria,Bacterial,15.0,13.23,7.37,61+,Male,655346,81.49,0.62,9.04,Therapy,6694.0,Yes,94.02,3202.0,8.59,48787.0,0.74,68.59 +77263,South Africa,2022,Polio,Chronic,16.74,7.1,9.82,0-18,Male,879909,67.95,2.76,5.6,Surgery,35652.0,Yes,68.61,2169.0,6.72,73231.0,0.49,87.86 +77274,China,2021,Influenza,Parasitic,16.47,0.38,4.66,19-35,Other,733120,50.93,4.8,7.46,Vaccination,16309.0,Yes,51.82,3046.0,5.04,51480.0,0.45,84.29 +77288,South Korea,2010,Polio,Viral,2.51,4.23,3.31,61+,Female,168067,63.57,4.95,6.46,Therapy,34792.0,Yes,75.51,1939.0,0.29,45548.0,0.88,55.83 +77289,Brazil,2001,Influenza,Neurological,3.11,2.71,7.6,0-18,Other,391940,82.87,3.64,4.09,Medication,44030.0,No,96.07,4741.0,8.56,37674.0,0.5,34.01 +77300,Australia,2001,Cholera,Bacterial,3.39,11.29,6.76,0-18,Other,297704,62.19,0.52,1.96,Medication,6465.0,Yes,56.37,1749.0,3.33,21522.0,0.61,81.12 +77311,Brazil,2016,Parkinson's Disease,Neurological,5.6,7.92,1.21,61+,Male,183495,51.72,3.68,8.18,Vaccination,23942.0,No,81.23,3270.0,8.51,25418.0,0.53,76.42 +77315,Nigeria,2012,Cancer,Metabolic,6.51,2.63,0.63,36-60,Female,508325,77.7,1.97,3.98,Medication,3420.0,Yes,98.46,2607.0,8.93,70745.0,0.62,36.78 +77317,France,2001,Polio,Respiratory,2.75,10.17,3.36,61+,Female,155783,97.71,2.65,2.25,Medication,49931.0,No,72.35,4420.0,9.46,77926.0,0.59,22.7 +77319,Turkey,2015,Asthma,Chronic,7.33,9.07,8.86,36-60,Other,655803,96.51,2.46,9.74,Therapy,25115.0,No,90.07,1160.0,2.65,1898.0,0.72,68.27 +77320,UK,2019,Influenza,Genetic,14.09,3.74,3.72,36-60,Other,991306,89.71,3.93,1.64,Surgery,13453.0,No,73.99,4507.0,6.09,94571.0,0.72,77.48 +77327,Japan,2005,Influenza,Bacterial,6.37,1.49,6.36,61+,Male,966041,67.12,3.08,3.5,Vaccination,47684.0,No,58.44,71.0,1.37,64872.0,0.54,76.18 +77328,Brazil,2016,Diabetes,Chronic,17.31,5.93,1.57,19-35,Male,789462,99.74,4.97,7.67,Vaccination,17773.0,Yes,51.69,3548.0,0.17,51625.0,0.71,76.05 +77332,Canada,2004,Influenza,Autoimmune,17.08,11.46,2.7,36-60,Other,740425,68.64,1.98,8.59,Therapy,17509.0,Yes,85.92,3871.0,8.07,16463.0,0.62,42.32 +77339,Turkey,2017,Cancer,Infectious,15.12,2.27,7.4,61+,Other,375756,51.12,4.54,3.04,Therapy,1946.0,Yes,64.5,2669.0,3.0,29013.0,0.59,38.42 +77349,South Africa,2006,Tuberculosis,Autoimmune,4.89,5.93,5.67,0-18,Other,340495,77.67,3.72,9.78,Therapy,18323.0,No,66.36,1272.0,5.52,11637.0,0.54,44.8 +77352,Russia,2006,Parkinson's Disease,Chronic,9.12,1.83,8.16,19-35,Female,312178,89.18,4.91,5.42,Surgery,28858.0,No,75.69,3143.0,6.89,88836.0,0.61,29.76 +77356,USA,2011,Cholera,Metabolic,3.1,6.99,0.6,19-35,Female,159971,81.6,1.38,1.02,Medication,26895.0,No,63.34,2326.0,7.5,99754.0,0.74,57.68 +77357,Argentina,2005,Hypertension,Genetic,13.8,14.01,4.52,36-60,Male,978489,80.36,1.12,2.91,Vaccination,30662.0,Yes,91.32,4008.0,3.35,6636.0,0.59,38.4 +77358,Germany,2024,Zika,Parasitic,12.18,7.17,7.64,36-60,Male,187855,87.71,4.54,5.54,Surgery,32890.0,Yes,93.14,2218.0,4.63,92447.0,0.46,64.71 +77359,Argentina,2003,Parkinson's Disease,Genetic,4.4,13.87,8.55,0-18,Female,561708,88.95,4.61,8.22,Therapy,43579.0,No,60.9,1771.0,1.12,66620.0,0.8,41.31 +77360,India,2017,Cholera,Chronic,12.91,14.17,3.31,36-60,Female,629827,53.12,4.51,4.14,Therapy,16657.0,Yes,83.32,4376.0,1.66,83537.0,0.5,77.71 +77366,USA,2017,Dengue,Respiratory,4.86,9.54,3.9,36-60,Other,132826,59.6,1.51,5.94,Therapy,4197.0,Yes,88.9,4052.0,7.07,71974.0,0.57,87.73 +77368,Turkey,2009,Cholera,Neurological,0.73,14.54,4.38,36-60,Other,821893,80.72,4.11,6.69,Medication,18169.0,No,51.81,4502.0,7.04,52926.0,0.74,51.59 +77378,Italy,2019,Polio,Chronic,0.23,8.43,0.68,61+,Female,548086,54.1,4.21,7.38,Surgery,48356.0,No,86.17,178.0,0.91,84420.0,0.6,64.48 +77380,Italy,2012,Malaria,Bacterial,15.41,1.55,2.33,0-18,Female,835582,51.31,3.89,5.39,Vaccination,47475.0,No,87.73,2539.0,4.85,29286.0,0.78,24.71 +77391,Nigeria,2024,Hepatitis,Bacterial,6.96,8.84,0.77,36-60,Male,503729,62.9,4.74,7.4,Surgery,38391.0,Yes,73.9,2968.0,4.18,5144.0,0.8,46.29 +77397,Turkey,2018,Hypertension,Autoimmune,14.8,10.16,2.0,36-60,Other,593298,85.24,2.14,4.42,Therapy,41453.0,Yes,89.12,2963.0,5.55,77894.0,0.57,57.35 +77411,Nigeria,2016,Hepatitis,Chronic,19.24,3.55,8.92,61+,Male,127963,76.78,3.38,2.2,Surgery,48693.0,Yes,93.74,3076.0,0.35,44815.0,0.75,32.74 +77413,Nigeria,2009,Hypertension,Autoimmune,0.2,10.07,5.89,36-60,Female,469431,79.43,4.3,2.32,Vaccination,48321.0,Yes,93.79,2886.0,6.93,35969.0,0.44,75.77 +77417,Canada,2008,Hypertension,Cardiovascular,14.86,8.99,1.4,0-18,Female,675017,87.22,2.05,5.03,Medication,29771.0,Yes,78.06,3320.0,5.22,35604.0,0.46,24.19 +77425,Indonesia,2016,Parkinson's Disease,Metabolic,2.88,13.55,2.89,19-35,Other,112673,72.96,4.81,1.68,Vaccination,44407.0,No,72.68,1976.0,2.27,85682.0,0.64,63.68 +77427,USA,2020,Measles,Viral,3.28,14.62,6.19,19-35,Other,716971,70.16,3.0,8.02,Surgery,30166.0,Yes,79.31,4024.0,6.91,87050.0,0.4,85.99 +77436,South Korea,2019,Malaria,Metabolic,1.37,0.85,9.58,0-18,Female,454497,54.99,4.88,1.66,Surgery,40487.0,Yes,52.17,1057.0,0.08,95084.0,0.49,65.51 +77442,Italy,2010,HIV/AIDS,Metabolic,5.28,9.44,6.96,19-35,Male,963347,70.12,4.16,7.44,Medication,14043.0,Yes,72.33,836.0,5.34,83436.0,0.56,36.78 +77444,Indonesia,2005,Cholera,Neurological,9.12,8.0,6.71,0-18,Female,70838,68.28,4.31,3.46,Therapy,23338.0,No,61.89,282.0,4.87,21923.0,0.69,70.46 +77456,Mexico,2017,Asthma,Infectious,10.37,1.17,4.8,19-35,Other,394774,60.83,1.19,0.65,Therapy,32605.0,Yes,89.65,3323.0,3.45,31243.0,0.9,50.75 +77461,USA,2021,Zika,Viral,2.56,0.11,8.34,0-18,Other,303689,60.81,4.12,5.65,Medication,31141.0,Yes,87.92,1476.0,9.57,63588.0,0.61,43.18 +77483,Argentina,2013,Parkinson's Disease,Cardiovascular,6.29,10.38,0.8,19-35,Male,737035,88.01,1.92,9.32,Therapy,46797.0,Yes,64.6,2413.0,8.98,29459.0,0.53,61.06 +77489,USA,2010,Ebola,Infectious,13.29,14.65,6.9,36-60,Male,913280,77.39,4.12,5.85,Vaccination,2566.0,No,60.6,3303.0,5.94,26891.0,0.85,44.56 +77491,Germany,2021,Leprosy,Autoimmune,9.93,5.91,0.22,36-60,Other,782825,85.33,4.89,5.23,Therapy,49463.0,Yes,52.66,2748.0,6.82,62979.0,0.71,29.74 +77494,India,2011,Ebola,Bacterial,8.49,14.64,5.72,0-18,Male,863690,75.38,1.16,3.39,Vaccination,13429.0,No,70.82,3898.0,0.48,99914.0,0.87,58.31 +77496,Indonesia,2011,COVID-19,Bacterial,3.46,6.58,6.16,19-35,Male,452114,61.13,3.5,5.94,Therapy,29743.0,No,78.61,87.0,8.26,75752.0,0.55,35.09 +77501,Brazil,2016,Ebola,Infectious,4.53,6.23,6.35,0-18,Other,94388,52.19,4.61,8.18,Therapy,2205.0,No,73.09,4061.0,9.68,76344.0,0.65,75.29 +77506,India,2007,Hypertension,Bacterial,2.79,13.46,1.84,0-18,Other,697926,63.74,3.85,1.65,Medication,1582.0,Yes,78.92,878.0,4.73,69751.0,0.8,77.59 +77520,Indonesia,2022,Malaria,Respiratory,1.23,2.31,1.32,61+,Male,388547,97.7,1.29,0.53,Therapy,30637.0,No,89.24,681.0,1.31,68702.0,0.82,31.25 +77521,Turkey,2024,Influenza,Bacterial,15.94,6.32,9.01,61+,Male,861476,60.73,3.17,2.33,Therapy,23011.0,No,50.8,397.0,6.87,27585.0,0.5,65.84 +77526,France,2008,Malaria,Bacterial,17.98,5.34,3.69,19-35,Female,331864,75.87,2.66,2.93,Vaccination,9314.0,Yes,54.2,1153.0,8.74,99339.0,0.59,35.98 +77532,Canada,2017,Diabetes,Autoimmune,15.19,8.8,9.86,19-35,Other,468361,62.52,1.09,3.56,Medication,27905.0,Yes,79.3,3434.0,9.99,68567.0,0.44,84.55 +77538,China,2005,Dengue,Parasitic,16.61,13.0,1.71,19-35,Other,737684,86.53,1.87,1.96,Vaccination,40410.0,No,70.29,3556.0,9.16,68503.0,0.42,78.35 +77549,India,2018,Dengue,Autoimmune,18.01,1.19,3.52,36-60,Other,882461,85.25,1.54,9.24,Therapy,8312.0,Yes,71.38,2411.0,9.01,41669.0,0.74,44.68 +77552,India,2019,Alzheimer's Disease,Viral,4.14,11.28,1.57,61+,Other,630025,63.09,2.22,5.59,Therapy,37184.0,No,93.43,3560.0,3.19,79070.0,0.88,42.5 +77553,UK,2005,Hepatitis,Parasitic,9.61,9.3,1.97,19-35,Male,296774,72.74,0.94,0.57,Surgery,39455.0,No,60.27,1695.0,0.46,2689.0,0.82,55.84 +77554,France,2020,Measles,Genetic,14.57,14.52,6.46,0-18,Female,615835,57.83,2.46,5.0,Therapy,33452.0,Yes,96.95,3449.0,2.84,31048.0,0.9,72.33 +77555,Brazil,2006,Tuberculosis,Respiratory,14.5,4.38,6.99,36-60,Male,537663,53.45,1.9,9.29,Medication,13349.0,Yes,56.62,3022.0,6.12,29227.0,0.85,44.4 +77556,France,2007,Polio,Autoimmune,6.97,1.78,5.88,61+,Other,919194,74.98,3.66,3.33,Vaccination,44430.0,No,64.85,3943.0,9.33,88113.0,0.59,64.93 +77560,Russia,2018,HIV/AIDS,Viral,2.32,3.86,0.43,0-18,Female,948607,92.89,1.71,7.39,Surgery,6927.0,No,97.09,3196.0,1.33,25512.0,0.71,45.9 +77563,South Korea,2011,Measles,Chronic,14.6,1.91,8.49,36-60,Male,775363,96.13,3.96,4.55,Medication,15889.0,Yes,68.31,4550.0,4.42,94980.0,0.8,65.62 +77572,Argentina,2004,Diabetes,Respiratory,10.3,13.09,5.36,61+,Male,890258,54.19,1.59,3.83,Medication,44729.0,No,79.52,1243.0,1.31,54326.0,0.72,26.62 +77574,Russia,2015,HIV/AIDS,Respiratory,8.29,7.01,1.23,36-60,Male,328396,67.2,4.56,9.93,Medication,45447.0,Yes,65.73,455.0,4.09,89896.0,0.88,24.12 +77582,Russia,2009,Ebola,Viral,11.42,5.68,6.19,36-60,Male,326996,60.45,3.77,3.78,Therapy,9026.0,No,54.56,1594.0,2.45,34994.0,0.5,63.36 +77592,South Korea,2002,HIV/AIDS,Cardiovascular,14.66,5.14,6.23,0-18,Other,701749,90.1,4.43,3.11,Medication,32524.0,Yes,84.41,2865.0,4.7,60933.0,0.87,37.67 +77597,Nigeria,2008,Hypertension,Bacterial,12.39,14.72,3.6,36-60,Male,881705,62.35,3.82,2.37,Vaccination,29966.0,Yes,83.8,3127.0,6.84,52834.0,0.76,77.5 +77607,Germany,2001,Dengue,Neurological,12.13,14.22,2.47,0-18,Female,20454,86.39,4.04,3.34,Medication,49082.0,No,65.44,1248.0,2.74,69299.0,0.62,79.64 +77618,Mexico,2015,Alzheimer's Disease,Chronic,3.54,9.48,4.3,19-35,Female,116918,64.58,2.06,9.36,Medication,28039.0,Yes,71.0,1175.0,2.44,74448.0,0.54,58.24 +77621,China,2005,COVID-19,Autoimmune,16.4,12.44,6.69,19-35,Female,782115,62.68,1.92,1.53,Surgery,23256.0,No,82.68,321.0,2.16,37719.0,0.58,70.49 +77628,Indonesia,2020,HIV/AIDS,Infectious,18.76,1.45,1.35,36-60,Male,773023,74.2,1.39,5.41,Medication,30304.0,Yes,74.58,1449.0,9.56,60694.0,0.75,87.11 +77642,Turkey,2020,Malaria,Infectious,5.19,14.47,2.39,0-18,Other,56319,60.87,2.55,1.43,Vaccination,32425.0,Yes,69.55,4696.0,5.09,34877.0,0.56,48.8 +77664,South Korea,2022,Leprosy,Cardiovascular,6.82,12.0,7.71,0-18,Other,633702,89.84,4.23,9.89,Therapy,47114.0,No,79.73,966.0,9.43,97274.0,0.61,84.82 +77668,Mexico,2013,Rabies,Infectious,17.14,8.11,3.93,36-60,Other,155915,84.57,2.06,3.0,Surgery,47913.0,No,89.64,2579.0,8.66,835.0,0.68,39.69 +77672,China,2020,Polio,Cardiovascular,0.37,13.62,6.92,19-35,Male,294656,64.25,0.59,2.61,Surgery,32037.0,Yes,54.68,1339.0,3.09,16427.0,0.49,45.75 +77673,Turkey,2010,Dengue,Autoimmune,5.67,12.09,4.42,19-35,Other,915673,65.94,2.81,0.64,Medication,32361.0,No,60.02,2800.0,0.35,85080.0,0.81,66.18 +77677,Turkey,2001,Leprosy,Autoimmune,10.57,0.17,8.91,19-35,Female,176066,60.5,1.9,2.04,Surgery,47282.0,No,64.0,4956.0,5.1,55918.0,0.89,58.28 +77678,Russia,2005,Tuberculosis,Infectious,15.93,5.19,0.91,19-35,Female,638944,54.51,2.92,2.79,Medication,32888.0,No,74.87,4277.0,0.12,92350.0,0.46,34.88 +77680,Turkey,2014,HIV/AIDS,Autoimmune,3.05,6.06,0.95,0-18,Other,556101,87.23,1.56,8.68,Therapy,23141.0,No,51.08,4185.0,4.95,60648.0,0.67,76.68 +77683,Saudi Arabia,2010,Influenza,Cardiovascular,10.44,4.46,2.27,0-18,Other,146529,57.99,3.04,7.43,Surgery,11871.0,No,81.78,2544.0,8.27,77522.0,0.45,81.42 +77684,Turkey,2012,Measles,Cardiovascular,17.26,8.86,1.6,0-18,Female,284072,75.03,3.25,5.02,Therapy,43151.0,Yes,68.07,4318.0,6.44,42233.0,0.85,47.97 +77692,Argentina,2020,Hypertension,Infectious,17.16,8.15,0.25,61+,Other,72277,97.94,1.7,9.14,Surgery,15466.0,No,71.53,2301.0,7.26,50471.0,0.6,77.04 +77698,Saudi Arabia,2010,Tuberculosis,Genetic,4.86,6.45,2.52,61+,Male,766400,62.64,0.81,9.74,Therapy,32424.0,No,60.28,3842.0,1.1,90527.0,0.49,33.27 +77708,Canada,2018,Hypertension,Neurological,0.47,1.48,9.58,0-18,Other,54582,65.4,0.51,2.8,Surgery,47617.0,Yes,97.73,4002.0,4.63,94437.0,0.41,65.24 +77716,Mexico,2006,Hypertension,Respiratory,17.61,13.43,3.5,0-18,Other,548523,91.94,3.1,7.76,Medication,43127.0,Yes,77.91,3078.0,5.87,34243.0,0.86,51.53 +77725,UK,2015,Hepatitis,Respiratory,3.04,2.26,5.64,36-60,Other,888545,57.46,4.11,8.96,Vaccination,18803.0,Yes,50.14,2331.0,8.0,12118.0,0.5,73.27 +77732,Germany,2006,Asthma,Viral,7.88,6.35,5.17,36-60,Female,38649,74.96,3.21,2.64,Medication,14915.0,No,55.5,1982.0,7.8,96128.0,0.85,51.41 +77737,Argentina,2024,Hypertension,Chronic,5.53,11.16,1.1,19-35,Female,694940,67.11,1.44,2.09,Medication,39513.0,Yes,94.8,701.0,2.79,38286.0,0.58,38.85 +77746,UK,2013,Ebola,Cardiovascular,18.97,10.23,6.53,61+,Female,985875,57.16,1.12,0.98,Surgery,3639.0,No,72.18,2897.0,5.0,47966.0,0.82,30.32 +77752,India,2014,Malaria,Metabolic,1.48,8.35,5.5,19-35,Other,392714,69.91,2.8,8.16,Vaccination,6909.0,No,75.95,976.0,4.42,86824.0,0.79,68.12 +77753,South Africa,2018,Cancer,Autoimmune,3.1,6.65,2.61,61+,Female,660928,71.79,3.3,5.84,Therapy,34694.0,No,54.32,1880.0,6.13,14869.0,0.73,60.46 +77757,Indonesia,2024,Hepatitis,Genetic,10.08,10.03,2.74,61+,Other,87922,66.81,0.93,3.62,Therapy,6217.0,No,90.54,2458.0,0.5,79283.0,0.65,30.73 +77766,USA,2006,Ebola,Cardiovascular,4.2,8.85,4.95,19-35,Female,606800,71.1,2.92,9.87,Vaccination,10109.0,No,52.76,4070.0,7.22,24618.0,0.78,20.36 +77767,Canada,2020,Diabetes,Autoimmune,19.75,13.95,4.81,19-35,Male,471864,96.99,4.94,5.0,Surgery,41525.0,No,63.55,2593.0,6.24,13342.0,0.41,30.98 +77769,Canada,2018,Dengue,Infectious,4.06,9.61,1.47,19-35,Other,684647,76.38,0.91,5.62,Medication,33494.0,Yes,56.78,3371.0,5.61,4248.0,0.79,28.66 +77788,Saudi Arabia,2004,Asthma,Bacterial,12.84,5.73,3.01,61+,Female,270681,86.05,4.83,7.31,Medication,27457.0,No,54.04,878.0,7.19,23825.0,0.76,75.73 +77790,Nigeria,2021,Malaria,Parasitic,19.32,1.42,9.32,19-35,Female,380747,60.17,1.98,4.12,Therapy,31773.0,Yes,76.76,3308.0,2.09,68469.0,0.76,47.65 +77792,Brazil,2023,Asthma,Neurological,2.9,6.58,7.5,61+,Male,727000,78.51,1.08,6.44,Vaccination,3464.0,Yes,88.54,2777.0,5.79,93348.0,0.84,61.58 +77796,Canada,2021,Ebola,Chronic,13.66,2.22,7.27,61+,Male,706181,80.77,4.56,7.24,Medication,23868.0,No,61.12,1091.0,1.76,29498.0,0.85,27.86 +77797,Russia,2018,Influenza,Cardiovascular,18.67,10.43,1.19,0-18,Female,223128,98.66,1.69,7.52,Vaccination,3651.0,Yes,88.76,2975.0,8.4,72983.0,0.86,53.8 +77801,Saudi Arabia,2017,Ebola,Autoimmune,4.5,5.53,2.49,36-60,Male,466703,66.55,0.88,4.01,Therapy,42790.0,Yes,80.06,572.0,0.71,35570.0,0.56,59.91 +77804,Mexico,2006,Malaria,Autoimmune,13.48,0.43,7.74,19-35,Other,335922,78.28,4.39,1.96,Vaccination,31362.0,No,51.29,1885.0,4.28,66703.0,0.59,56.2 +77806,UK,2010,Asthma,Autoimmune,2.19,10.09,3.56,19-35,Other,228405,89.26,3.55,5.88,Medication,27691.0,Yes,91.08,2179.0,2.73,10409.0,0.57,88.08 +77819,Australia,2005,Tuberculosis,Bacterial,0.97,11.87,9.86,0-18,Female,165587,81.32,1.12,5.01,Vaccination,19980.0,No,98.6,4951.0,4.41,87482.0,0.52,57.15 +77824,Australia,2022,Diabetes,Viral,0.57,7.25,5.51,36-60,Other,215785,86.24,4.83,3.44,Vaccination,49599.0,No,50.17,4733.0,4.33,91985.0,0.46,88.18 +77832,Italy,2008,Polio,Bacterial,0.54,12.18,1.48,36-60,Male,730734,60.06,3.96,4.64,Surgery,30056.0,Yes,83.59,2063.0,1.77,47224.0,0.8,75.97 +77834,Argentina,2004,Malaria,Bacterial,4.59,14.9,5.89,36-60,Female,879928,91.86,4.91,6.12,Therapy,26175.0,No,94.11,1817.0,4.0,13231.0,0.45,29.2 +77839,Italy,2021,Cancer,Neurological,8.87,5.17,4.49,36-60,Male,358572,67.23,3.29,7.33,Vaccination,21172.0,Yes,62.2,4683.0,1.25,86985.0,0.82,23.76 +77867,India,2010,Measles,Cardiovascular,6.59,3.35,3.18,19-35,Male,685316,52.16,3.5,6.68,Medication,23888.0,Yes,64.99,67.0,9.89,92991.0,0.78,58.9 +77869,India,2023,Ebola,Chronic,16.91,13.91,7.31,61+,Other,221713,91.72,1.59,7.3,Therapy,29199.0,Yes,97.25,1043.0,1.88,83444.0,0.71,67.38 +77872,South Africa,2016,Rabies,Autoimmune,4.22,4.79,6.23,0-18,Female,11311,93.14,0.9,4.54,Vaccination,46648.0,Yes,90.89,2481.0,0.81,23251.0,0.66,41.05 +77874,Turkey,2012,Hepatitis,Viral,12.16,10.79,0.15,19-35,Other,38668,78.96,4.27,5.17,Surgery,36157.0,No,56.14,4577.0,2.9,15410.0,0.84,76.38 +77885,Argentina,2004,Malaria,Parasitic,14.82,12.06,2.58,0-18,Other,347617,55.52,3.77,6.34,Therapy,13480.0,Yes,63.0,2411.0,8.28,76563.0,0.85,47.43 +77886,Australia,2007,Dengue,Genetic,14.6,14.88,0.76,61+,Female,463380,61.03,4.45,0.88,Medication,11650.0,No,94.17,3428.0,1.78,99771.0,0.49,72.24 +77898,Turkey,2001,Alzheimer's Disease,Neurological,10.02,5.33,8.0,36-60,Male,861165,95.24,4.31,6.86,Medication,25329.0,Yes,80.08,2312.0,0.72,93479.0,0.69,24.04 +77901,South Korea,2009,Malaria,Viral,10.5,13.13,7.8,61+,Other,155436,67.56,4.75,4.51,Vaccination,42006.0,No,82.6,900.0,7.18,16538.0,0.55,86.92 +77902,Japan,2003,Asthma,Bacterial,7.51,12.41,1.92,61+,Male,401238,57.88,3.79,5.54,Medication,4385.0,Yes,90.96,4160.0,3.91,87200.0,0.65,64.88 +77911,USA,2019,COVID-19,Viral,8.28,12.72,3.04,19-35,Male,528428,61.24,3.5,2.86,Medication,27341.0,Yes,65.59,3704.0,0.7,33332.0,0.63,48.37 +77912,Italy,2000,Cholera,Chronic,3.17,8.87,3.49,61+,Other,571020,98.86,1.43,1.42,Medication,4159.0,No,60.67,923.0,3.96,60702.0,0.49,77.67 +77913,China,2020,Alzheimer's Disease,Cardiovascular,11.75,2.37,9.98,36-60,Female,480403,71.3,4.92,5.58,Surgery,41708.0,Yes,81.86,1529.0,4.9,92521.0,0.8,38.04 +77915,Japan,2006,Tuberculosis,Metabolic,14.21,1.45,3.61,19-35,Female,876153,52.98,4.86,2.06,Surgery,49204.0,Yes,69.08,2701.0,1.26,62586.0,0.58,69.79 +77924,Brazil,2013,Diabetes,Cardiovascular,18.47,14.06,7.72,19-35,Male,124349,71.24,3.81,3.42,Surgery,33180.0,No,87.14,105.0,1.99,93860.0,0.87,50.22 +77925,Australia,2019,Polio,Cardiovascular,13.14,0.12,6.36,0-18,Other,965469,52.72,4.08,2.08,Vaccination,40633.0,Yes,82.65,3711.0,1.44,92164.0,0.81,35.63 +77926,Brazil,2010,Hepatitis,Parasitic,14.49,1.04,5.4,0-18,Other,84734,61.49,4.72,2.94,Medication,43250.0,No,60.81,2638.0,5.94,28287.0,0.74,81.18 +77929,Saudi Arabia,2000,Hepatitis,Bacterial,1.56,9.11,4.82,61+,Male,537693,54.42,1.72,4.68,Vaccination,12928.0,Yes,80.81,1949.0,9.58,16906.0,0.88,84.08 +77934,France,2024,HIV/AIDS,Genetic,2.35,7.84,4.85,19-35,Female,599642,75.09,3.24,6.79,Surgery,8289.0,No,90.09,1916.0,6.44,84807.0,0.76,20.93 +77937,USA,2018,Tuberculosis,Cardiovascular,12.15,6.38,4.1,19-35,Female,886686,66.82,3.17,4.86,Therapy,42190.0,No,69.05,4081.0,8.78,10402.0,0.88,79.55 +77938,Nigeria,2002,Influenza,Infectious,13.86,7.71,9.11,0-18,Male,229136,76.43,3.26,3.47,Surgery,23692.0,No,85.6,1735.0,0.73,21282.0,0.76,47.1 +77941,Saudi Arabia,2003,Dengue,Autoimmune,2.79,12.72,4.19,0-18,Male,611737,98.54,2.51,6.88,Vaccination,752.0,Yes,93.09,4578.0,2.38,79635.0,0.7,55.23 +77948,Argentina,2015,COVID-19,Autoimmune,1.61,12.16,6.3,36-60,Female,1697,93.96,4.69,6.6,Medication,22330.0,Yes,52.28,2766.0,4.91,73586.0,0.73,49.48 +77950,Indonesia,2018,Zika,Infectious,5.94,10.62,1.21,19-35,Male,215973,60.97,2.27,4.89,Vaccination,12977.0,No,58.55,4379.0,3.13,83773.0,0.47,29.31 +77951,Turkey,2016,COVID-19,Genetic,1.58,13.67,0.41,61+,Female,891943,88.62,1.9,0.81,Vaccination,16872.0,No,97.66,2987.0,6.76,49494.0,0.84,63.27 +77955,Saudi Arabia,2012,Polio,Autoimmune,8.14,2.32,9.93,0-18,Female,544378,87.37,1.69,8.68,Therapy,19201.0,Yes,53.9,4417.0,8.17,86374.0,0.77,23.14 +77962,Argentina,2024,Measles,Metabolic,2.07,7.86,8.78,61+,Male,664230,72.93,4.64,6.04,Medication,12097.0,No,75.3,3306.0,5.95,10226.0,0.44,56.44 +77965,Italy,2017,Asthma,Cardiovascular,14.81,9.94,5.3,36-60,Female,241212,86.1,3.12,4.98,Surgery,45628.0,No,83.22,3599.0,6.97,47869.0,0.57,34.35 +77977,France,2018,Zika,Cardiovascular,2.09,3.01,7.86,19-35,Male,256297,73.73,4.15,3.1,Therapy,22693.0,Yes,91.64,1099.0,5.12,86188.0,0.41,73.53 +77980,Turkey,2007,Rabies,Neurological,5.07,4.32,1.06,0-18,Other,534953,58.45,4.02,7.07,Surgery,26039.0,No,95.63,112.0,0.46,72062.0,0.75,31.83 +77986,Germany,2021,Cancer,Parasitic,11.0,5.03,3.46,0-18,Other,284167,55.51,0.54,8.71,Vaccination,45993.0,No,78.75,3279.0,9.87,67116.0,0.87,88.4 +77990,India,2017,Influenza,Metabolic,4.64,1.83,9.35,0-18,Other,65695,93.76,1.06,8.09,Medication,44851.0,No,96.38,2529.0,7.68,36303.0,0.48,31.26 +77997,USA,2024,Malaria,Genetic,18.05,0.53,5.32,36-60,Other,102295,58.94,0.72,3.44,Medication,12871.0,Yes,96.64,2541.0,5.54,4911.0,0.73,47.83 +78012,UK,2016,Polio,Genetic,16.37,4.28,4.29,36-60,Other,631397,63.09,0.92,8.03,Medication,29214.0,Yes,83.22,4039.0,4.49,46087.0,0.57,60.0 +78024,Mexico,2014,Influenza,Infectious,19.37,0.25,4.62,61+,Other,563480,54.4,0.67,5.27,Therapy,5085.0,Yes,97.35,2563.0,8.01,10789.0,0.52,79.0 +78028,South Korea,2018,HIV/AIDS,Neurological,10.31,4.11,8.76,0-18,Male,174655,75.11,3.82,1.65,Therapy,12471.0,Yes,58.49,603.0,9.03,82532.0,0.76,72.19 +78034,Brazil,2009,Polio,Respiratory,3.76,11.27,3.58,36-60,Other,788941,78.66,3.03,9.97,Vaccination,28477.0,No,91.76,2186.0,6.95,97000.0,0.55,54.05 +78037,India,2012,Parkinson's Disease,Neurological,16.41,13.1,0.32,19-35,Male,495592,98.86,2.58,2.67,Surgery,14756.0,Yes,91.72,1639.0,7.87,53987.0,0.51,72.16 +78042,Australia,2015,Cancer,Bacterial,10.49,3.76,4.51,19-35,Female,462296,53.39,3.0,3.87,Vaccination,481.0,No,68.71,4386.0,0.4,5537.0,0.66,40.1 +78051,India,2008,Rabies,Metabolic,18.73,14.58,0.27,0-18,Other,893257,70.34,1.98,6.94,Medication,5826.0,Yes,84.64,3306.0,5.58,49671.0,0.43,31.02 +78054,Brazil,2003,HIV/AIDS,Parasitic,17.96,3.98,5.05,19-35,Other,356210,76.62,4.07,1.18,Vaccination,41894.0,No,84.45,1741.0,1.43,58825.0,0.66,30.69 +78058,Germany,2021,Cholera,Cardiovascular,15.36,10.48,9.8,61+,Other,122452,53.79,1.94,7.7,Therapy,39087.0,No,64.74,4891.0,4.49,29448.0,0.68,73.52 +78062,Australia,2014,Rabies,Cardiovascular,8.83,0.92,4.82,61+,Female,271872,69.77,2.17,7.63,Vaccination,42908.0,No,87.61,256.0,2.58,88522.0,0.83,25.88 +78064,China,2008,Hypertension,Bacterial,2.94,14.83,7.74,36-60,Male,136341,86.04,2.38,1.28,Surgery,19051.0,No,95.95,4189.0,0.93,5930.0,0.8,75.49 +78074,India,2012,Cancer,Parasitic,5.55,13.82,8.18,36-60,Male,152557,86.5,4.92,9.4,Therapy,8125.0,Yes,56.61,4496.0,1.26,77046.0,0.45,80.39 +78080,Italy,2012,Tuberculosis,Cardiovascular,19.9,4.33,3.79,36-60,Male,264367,82.95,2.85,3.06,Surgery,10544.0,No,82.95,444.0,9.04,46466.0,0.69,61.34 +78097,Russia,2015,Ebola,Infectious,18.32,12.39,2.82,0-18,Other,805958,75.93,1.49,7.3,Therapy,34171.0,Yes,93.94,4445.0,5.06,29135.0,0.87,56.8 +78105,South Korea,2019,Diabetes,Autoimmune,3.77,11.71,2.82,36-60,Male,893534,91.08,4.8,5.09,Surgery,35479.0,No,66.29,3863.0,6.17,59274.0,0.5,68.23 +78114,India,2010,Leprosy,Genetic,14.14,1.88,2.11,0-18,Other,775030,58.35,1.54,7.2,Therapy,20214.0,No,93.75,657.0,3.99,61793.0,0.86,32.75 +78115,Australia,2006,Rabies,Genetic,5.44,2.35,4.84,36-60,Other,317010,93.11,0.98,6.32,Vaccination,49341.0,No,55.11,161.0,1.76,33095.0,0.53,71.7 +78118,Canada,2021,Asthma,Autoimmune,14.62,5.88,2.95,0-18,Female,781185,84.44,2.83,4.52,Surgery,29062.0,No,73.76,1818.0,1.51,86800.0,0.63,75.25 +78123,Russia,2018,Ebola,Cardiovascular,19.2,4.64,0.91,0-18,Female,838145,75.83,3.62,1.81,Therapy,38054.0,No,52.74,3533.0,6.49,8883.0,0.68,21.77 +78125,South Korea,2009,Hepatitis,Neurological,16.42,7.12,5.05,36-60,Female,821895,93.92,2.34,8.13,Surgery,2680.0,No,54.56,4570.0,9.01,34949.0,0.4,53.78 +78128,China,2004,Zika,Neurological,4.15,11.83,7.08,61+,Female,875803,86.12,4.91,3.54,Vaccination,30736.0,Yes,98.14,3870.0,6.22,49633.0,0.74,35.27 +78130,Mexico,2020,Tuberculosis,Cardiovascular,0.75,5.34,3.64,0-18,Other,510901,81.71,0.78,1.05,Medication,28464.0,Yes,76.69,2951.0,1.85,26078.0,0.46,48.86 +78132,USA,2005,Hepatitis,Chronic,2.4,12.2,7.2,19-35,Female,335528,62.0,1.86,2.53,Surgery,4459.0,Yes,75.62,4660.0,9.79,72167.0,0.79,84.14 +78136,Argentina,2023,Influenza,Chronic,10.77,9.14,3.97,36-60,Other,522554,62.68,3.78,6.0,Therapy,4471.0,No,56.72,4120.0,1.24,45497.0,0.69,34.71 +78137,Saudi Arabia,2005,Cholera,Neurological,14.52,4.56,4.56,0-18,Other,467629,59.51,2.47,1.81,Surgery,44402.0,No,60.78,2586.0,7.44,627.0,0.8,35.43 +78155,Japan,2001,Influenza,Parasitic,5.17,14.64,8.15,19-35,Female,74065,66.59,2.82,8.79,Surgery,15893.0,Yes,66.1,3301.0,5.14,93478.0,0.66,21.39 +78162,China,2018,COVID-19,Cardiovascular,11.88,13.05,0.68,61+,Other,171310,62.95,2.0,1.96,Medication,28406.0,No,72.95,819.0,5.61,1448.0,0.65,76.31 +78168,Australia,2024,Polio,Cardiovascular,6.81,6.72,9.27,19-35,Other,416679,62.0,4.93,7.51,Surgery,27789.0,No,70.87,2484.0,1.04,16994.0,0.85,67.48 +78176,Brazil,2017,Zika,Metabolic,17.06,13.85,5.38,36-60,Female,689875,56.72,3.3,3.65,Surgery,32673.0,No,68.74,3899.0,1.27,4492.0,0.68,50.15 +78183,UK,2008,Hepatitis,Parasitic,2.7,8.42,4.98,19-35,Other,392393,51.88,3.36,1.18,Vaccination,25030.0,Yes,67.47,4697.0,7.75,8943.0,0.58,80.34 +78191,Mexico,2024,Polio,Metabolic,2.84,3.98,5.8,19-35,Female,708851,79.03,3.8,9.69,Medication,26240.0,No,53.74,1178.0,2.9,90160.0,0.6,56.19 +78194,Indonesia,2023,COVID-19,Autoimmune,7.64,11.06,4.23,0-18,Other,107326,62.38,1.48,8.91,Therapy,19514.0,Yes,64.36,386.0,5.35,77657.0,0.59,87.46 +78195,Argentina,2021,Alzheimer's Disease,Autoimmune,4.37,6.6,5.08,0-18,Male,300777,66.16,3.65,5.81,Surgery,1982.0,Yes,77.01,1926.0,4.07,86815.0,0.75,70.17 +78198,Germany,2023,Cancer,Chronic,5.53,10.06,0.99,19-35,Other,820419,59.19,2.29,2.95,Medication,15986.0,No,50.97,2857.0,1.75,73925.0,0.47,42.03 +78199,Mexico,2007,Leprosy,Genetic,3.4,2.88,3.99,19-35,Male,145591,75.84,3.48,1.63,Surgery,14860.0,Yes,92.95,3363.0,6.27,36408.0,0.44,33.57 +78208,Canada,2003,Rabies,Parasitic,9.27,6.84,8.75,36-60,Male,784646,95.11,3.23,8.19,Medication,1535.0,Yes,86.2,2695.0,8.15,60900.0,0.62,71.72 +78212,Indonesia,2023,Leprosy,Autoimmune,11.5,2.74,9.41,61+,Female,892528,84.81,1.33,2.89,Therapy,48057.0,Yes,60.13,4699.0,6.49,57360.0,0.49,56.38 +78216,UK,2015,Cholera,Respiratory,13.01,13.83,3.88,19-35,Female,689613,67.57,2.46,5.66,Medication,12518.0,No,87.08,3887.0,6.65,84978.0,0.87,66.61 +78219,Russia,2022,Hepatitis,Viral,0.3,0.66,9.64,36-60,Other,979021,87.25,4.89,5.75,Therapy,42745.0,No,86.57,3349.0,3.71,62623.0,0.56,20.29 +78222,Italy,2013,Hypertension,Metabolic,11.36,1.77,7.31,61+,Female,657075,77.6,2.22,6.41,Vaccination,44921.0,Yes,60.54,547.0,1.43,81011.0,0.68,58.41 +78223,France,2002,Zika,Infectious,6.87,14.96,9.54,19-35,Female,416888,64.54,4.22,7.03,Medication,24122.0,Yes,78.91,4393.0,9.24,7127.0,0.55,41.05 +78225,Indonesia,2009,Hypertension,Bacterial,5.1,5.81,8.98,0-18,Female,525166,84.88,4.91,9.45,Medication,38216.0,Yes,67.01,229.0,3.67,99615.0,0.54,32.69 +78226,Brazil,2024,Parkinson's Disease,Viral,19.28,8.26,8.23,0-18,Other,544947,96.85,4.3,8.55,Therapy,26560.0,No,92.75,944.0,3.36,4934.0,0.79,26.72 +78231,Nigeria,2002,Cancer,Parasitic,14.15,7.18,4.31,61+,Other,552413,57.98,0.72,3.53,Vaccination,44352.0,Yes,95.01,2207.0,3.48,70985.0,0.78,46.0 +78252,Italy,2012,Tuberculosis,Genetic,5.82,14.16,0.6,61+,Female,630991,55.06,4.57,7.81,Surgery,6398.0,No,74.72,2445.0,1.16,46409.0,0.47,20.69 +78254,Germany,2001,Parkinson's Disease,Bacterial,10.41,10.81,5.27,36-60,Other,102416,88.73,3.32,2.97,Medication,44832.0,No,75.96,2785.0,0.63,67765.0,0.67,24.64 +78264,Russia,2004,Influenza,Neurological,5.62,13.74,3.09,19-35,Male,292868,96.89,4.13,3.44,Medication,32017.0,Yes,61.58,1098.0,8.03,97735.0,0.53,60.03 +78266,Russia,2019,Hypertension,Autoimmune,2.66,10.11,0.29,0-18,Male,834250,56.8,2.52,7.66,Medication,26327.0,Yes,58.8,437.0,1.14,88840.0,0.5,40.61 +78267,Italy,2004,HIV/AIDS,Autoimmune,16.34,13.65,4.87,36-60,Female,999148,90.66,4.07,4.18,Therapy,19873.0,No,74.87,246.0,9.99,61834.0,0.77,22.68 +78271,China,2002,Diabetes,Metabolic,8.68,9.83,9.49,19-35,Female,164581,75.94,1.91,3.37,Surgery,35336.0,Yes,61.26,4557.0,1.78,74178.0,0.63,38.05 +78280,Indonesia,2006,Zika,Neurological,3.62,5.6,0.44,61+,Other,885698,69.58,4.44,7.41,Surgery,6114.0,No,88.35,2410.0,9.62,74395.0,0.79,39.44 +78285,China,2007,Cholera,Genetic,10.78,3.89,5.18,19-35,Other,820241,98.94,4.32,6.78,Therapy,1249.0,No,62.02,4188.0,1.51,28965.0,0.84,40.53 +78291,Argentina,2003,Hepatitis,Genetic,14.42,10.45,8.3,19-35,Female,285716,73.2,1.81,6.93,Therapy,28898.0,No,94.54,4891.0,4.89,37541.0,0.51,67.49 +78295,USA,2022,HIV/AIDS,Autoimmune,2.85,4.55,6.42,19-35,Other,969908,80.97,1.06,8.62,Vaccination,40548.0,No,98.65,1016.0,7.4,98971.0,0.54,30.19 +78301,Italy,2020,Influenza,Neurological,0.64,11.52,8.99,36-60,Female,134287,75.71,1.25,4.14,Therapy,5145.0,No,64.42,554.0,6.76,36242.0,0.64,36.41 +78308,South Africa,2022,Diabetes,Metabolic,3.99,2.1,0.78,19-35,Female,91446,73.81,3.28,1.86,Medication,36324.0,Yes,67.21,4211.0,8.92,87974.0,0.67,71.31 +78313,South Korea,2000,Polio,Parasitic,11.96,9.02,8.68,36-60,Female,158258,71.8,1.64,7.5,Medication,15082.0,No,86.88,2638.0,5.58,9604.0,0.58,26.72 +78318,Italy,2002,Rabies,Parasitic,4.58,14.97,0.33,36-60,Female,820140,78.76,4.46,8.49,Therapy,34283.0,No,84.24,4099.0,7.94,66371.0,0.55,21.77 +78319,Australia,2011,Polio,Viral,19.13,10.57,0.36,0-18,Male,501081,95.28,1.0,5.71,Medication,49305.0,No,50.35,1558.0,8.43,43212.0,0.76,63.6 +78323,France,2011,Malaria,Infectious,3.62,3.51,9.43,61+,Other,28311,70.01,4.14,7.53,Surgery,24740.0,Yes,83.19,3122.0,3.15,87963.0,0.77,49.25 +78325,South Korea,2008,Hepatitis,Parasitic,11.83,9.96,9.77,0-18,Other,411389,67.53,1.97,6.76,Surgery,16964.0,No,90.11,3818.0,3.11,36229.0,0.75,41.23 +78335,Germany,2020,Parkinson's Disease,Infectious,16.62,7.84,3.05,19-35,Other,316691,78.48,1.03,1.13,Therapy,32960.0,Yes,98.55,1326.0,7.31,48434.0,0.88,68.48 +78339,Italy,2018,Leprosy,Viral,18.57,13.16,2.81,61+,Male,405834,85.08,4.86,8.79,Medication,491.0,Yes,93.62,3794.0,1.45,26660.0,0.56,57.77 +78340,China,2008,Cholera,Autoimmune,12.42,9.59,4.34,0-18,Male,815705,77.68,3.23,9.87,Medication,9229.0,Yes,56.84,3561.0,6.13,68623.0,0.65,29.96 +78341,Turkey,2003,Malaria,Metabolic,1.52,10.79,3.83,19-35,Other,624828,71.76,4.95,4.29,Therapy,20981.0,No,51.58,476.0,4.35,5596.0,0.85,85.07 +78342,Japan,2010,Cholera,Cardiovascular,17.27,12.54,3.74,19-35,Male,217598,53.07,4.65,1.65,Therapy,15279.0,Yes,74.52,4559.0,1.54,29376.0,0.42,26.38 +78353,Saudi Arabia,2012,Diabetes,Viral,7.85,10.89,7.05,36-60,Male,778568,55.45,1.98,4.86,Medication,25490.0,No,68.65,9.0,5.54,93740.0,0.5,40.79 +78358,India,2005,Rabies,Genetic,7.9,8.63,0.35,36-60,Other,56064,70.89,2.92,6.38,Vaccination,45646.0,Yes,62.53,885.0,4.8,75811.0,0.73,21.59 +78360,India,2011,Parkinson's Disease,Viral,8.36,11.97,6.84,19-35,Other,341657,68.55,3.99,7.86,Surgery,17419.0,No,58.88,2786.0,1.22,56831.0,0.82,72.79 +78364,Japan,2001,Ebola,Chronic,17.44,0.33,2.73,19-35,Female,139637,58.11,3.83,7.81,Medication,24519.0,No,73.36,1460.0,0.09,12096.0,0.48,30.83 +78387,USA,2012,Leprosy,Viral,19.25,8.54,8.54,0-18,Other,786712,50.76,1.61,5.26,Vaccination,10085.0,Yes,84.27,1166.0,8.62,44450.0,0.51,57.46 +78390,UK,2020,Hepatitis,Viral,18.51,0.21,4.52,61+,Female,685065,98.57,1.95,8.71,Vaccination,33446.0,Yes,66.16,4203.0,6.93,8118.0,0.62,23.16 +78391,Germany,2013,COVID-19,Metabolic,6.32,9.34,7.73,61+,Other,506970,59.64,2.1,6.13,Vaccination,32479.0,No,79.46,3632.0,8.75,13252.0,0.66,72.6 +78393,Japan,2016,Malaria,Parasitic,14.05,5.27,4.32,19-35,Other,380441,91.58,2.75,2.79,Therapy,12760.0,No,59.32,1771.0,9.0,40793.0,0.52,77.78 +78394,China,2009,Alzheimer's Disease,Cardiovascular,19.74,12.55,7.9,61+,Male,938311,68.45,3.05,3.49,Vaccination,17089.0,No,84.01,3681.0,6.47,95899.0,0.69,34.69 +78395,Italy,2011,Tuberculosis,Viral,10.63,2.74,5.19,19-35,Female,792760,50.07,0.77,9.49,Vaccination,5108.0,Yes,63.64,1228.0,6.28,10641.0,0.58,49.09 +78397,France,2003,Malaria,Autoimmune,12.69,7.49,0.25,61+,Female,603665,57.29,2.18,0.86,Medication,40279.0,No,58.26,3307.0,5.97,17671.0,0.84,43.76 +78407,China,2006,Zika,Respiratory,10.44,5.67,2.58,61+,Female,925867,96.71,0.96,7.48,Vaccination,3091.0,No,95.94,278.0,6.06,75754.0,0.8,62.91 +78415,Japan,2012,Alzheimer's Disease,Genetic,0.95,4.27,3.25,36-60,Female,288922,71.0,0.73,2.71,Medication,48171.0,Yes,95.49,2418.0,1.19,67677.0,0.65,88.98 +78416,Germany,2010,HIV/AIDS,Chronic,11.92,11.73,8.5,36-60,Other,511270,55.27,3.94,8.1,Surgery,5316.0,Yes,88.14,484.0,0.38,43958.0,0.86,81.66 +78420,Japan,2005,Zika,Metabolic,6.72,1.75,2.17,36-60,Other,178558,72.66,3.84,4.48,Medication,49857.0,Yes,74.92,1187.0,8.92,46479.0,0.48,25.44 +78424,Italy,2011,COVID-19,Metabolic,7.76,3.15,8.72,36-60,Male,543840,56.14,1.78,9.18,Therapy,7645.0,Yes,78.93,3933.0,6.51,43726.0,0.44,50.99 +78449,France,2000,COVID-19,Autoimmune,1.4,12.61,8.89,61+,Other,877105,58.68,3.89,2.45,Medication,42819.0,Yes,74.12,2080.0,7.24,82522.0,0.52,46.37 +78453,USA,2020,Cancer,Viral,7.96,5.64,4.59,19-35,Other,741208,79.98,2.06,8.1,Surgery,35762.0,Yes,96.04,2829.0,3.26,5750.0,0.55,74.02 +78456,Russia,2010,Asthma,Genetic,13.03,7.02,9.94,19-35,Other,241386,96.45,2.07,1.79,Medication,21715.0,Yes,56.69,2735.0,4.18,92121.0,0.42,72.82 +78471,India,2024,Malaria,Viral,19.6,12.07,5.38,61+,Female,544279,53.66,2.38,7.64,Medication,23049.0,Yes,79.42,3365.0,3.4,69967.0,0.88,49.95 +78475,Brazil,2019,Measles,Cardiovascular,19.09,10.78,4.47,61+,Male,651533,66.61,1.23,4.11,Medication,43738.0,Yes,53.95,155.0,2.19,19852.0,0.62,41.85 +78476,UK,2010,Ebola,Neurological,17.12,2.67,9.05,36-60,Female,541459,73.53,3.41,0.88,Therapy,497.0,No,52.6,4101.0,1.41,61643.0,0.82,77.9 +78483,Indonesia,2015,Parkinson's Disease,Bacterial,5.81,7.17,7.83,61+,Other,628015,51.05,0.62,8.17,Surgery,34076.0,No,97.64,390.0,4.9,93125.0,0.42,55.25 +78485,Turkey,2012,Dengue,Bacterial,11.56,13.79,4.61,19-35,Other,68700,73.12,2.28,0.98,Surgery,13819.0,No,63.77,3363.0,3.76,98410.0,0.67,34.19 +78486,Indonesia,2003,Rabies,Viral,7.71,4.28,5.95,61+,Male,685718,51.9,4.39,2.34,Medication,23342.0,Yes,58.56,19.0,9.83,8900.0,0.48,51.03 +78488,France,2019,Alzheimer's Disease,Respiratory,10.85,13.53,1.6,19-35,Male,495221,92.22,3.23,2.5,Surgery,737.0,Yes,56.68,4494.0,9.9,98968.0,0.42,51.71 +78489,Australia,2019,Asthma,Respiratory,8.21,7.88,2.76,19-35,Male,556219,88.49,3.5,4.34,Surgery,5888.0,Yes,67.57,2972.0,3.7,26224.0,0.57,86.66 +78492,Germany,2011,Hepatitis,Cardiovascular,0.36,9.88,5.33,0-18,Female,929481,66.02,0.72,8.57,Medication,33590.0,Yes,86.91,1098.0,9.41,99590.0,0.84,22.77 +78508,USA,2007,Polio,Bacterial,4.07,13.39,5.39,36-60,Female,254267,68.71,2.7,5.34,Surgery,40880.0,Yes,81.32,1403.0,6.82,36641.0,0.79,23.49 +78509,Argentina,2002,Leprosy,Respiratory,18.17,7.57,6.55,19-35,Male,356299,81.65,2.22,9.53,Surgery,39036.0,Yes,97.13,3125.0,1.86,48166.0,0.65,35.7 +78516,Turkey,2022,Diabetes,Genetic,8.77,14.76,9.01,0-18,Other,868451,55.26,2.0,5.68,Medication,46103.0,Yes,56.61,398.0,2.81,65773.0,0.48,38.99 +78525,USA,2021,Hepatitis,Metabolic,18.06,0.51,9.41,61+,Female,587610,70.02,4.97,8.04,Vaccination,27385.0,Yes,87.29,2886.0,7.7,1520.0,0.49,63.52 +78526,Canada,2009,Influenza,Bacterial,8.49,3.61,4.39,0-18,Male,362352,57.66,2.33,5.97,Surgery,22460.0,Yes,78.18,650.0,2.08,52849.0,0.53,77.09 +78531,Mexico,2013,Dengue,Metabolic,14.72,4.03,8.35,36-60,Other,687857,72.54,1.69,7.15,Surgery,6320.0,Yes,95.94,1708.0,0.44,87942.0,0.87,38.12 +78532,Japan,2004,Influenza,Neurological,15.54,10.51,8.82,0-18,Other,952170,90.49,2.83,2.81,Therapy,33029.0,Yes,57.76,2942.0,8.79,90520.0,0.49,34.14 +78534,Argentina,2007,Zika,Autoimmune,9.32,11.44,9.97,19-35,Other,294753,68.49,1.58,5.96,Medication,26565.0,No,74.56,4329.0,1.66,58717.0,0.6,86.07 +78542,Brazil,2016,Hypertension,Respiratory,10.16,11.92,4.43,0-18,Female,803613,60.08,3.46,6.4,Surgery,25359.0,Yes,59.67,1452.0,0.21,73286.0,0.58,77.23 +78543,Mexico,2019,Cholera,Bacterial,9.39,4.24,9.52,36-60,Male,224516,66.89,1.45,5.72,Surgery,7315.0,Yes,80.37,252.0,1.59,45120.0,0.64,83.29 +78553,Mexico,2012,Measles,Respiratory,19.37,12.43,0.96,36-60,Other,285283,55.21,4.95,1.07,Surgery,35884.0,No,94.37,3057.0,3.12,20263.0,0.74,78.24 +78555,China,2006,Dengue,Neurological,15.54,11.52,4.97,36-60,Male,699962,68.51,3.19,7.31,Surgery,14275.0,Yes,59.28,676.0,5.65,66635.0,0.45,79.48 +78556,Japan,2020,Ebola,Respiratory,16.81,6.15,9.4,0-18,Female,808912,82.97,1.95,1.84,Medication,49051.0,No,77.15,4904.0,9.72,18918.0,0.9,29.75 +78564,Japan,2009,Hepatitis,Metabolic,14.37,6.3,0.63,36-60,Male,56696,75.13,4.94,4.79,Vaccination,24410.0,No,95.96,18.0,3.25,68529.0,0.81,88.13 +78566,Brazil,2010,Ebola,Genetic,17.72,12.16,7.0,36-60,Male,6507,81.71,0.69,2.3,Medication,20847.0,Yes,78.98,1627.0,5.25,2806.0,0.79,61.69 +78568,Argentina,2004,Cancer,Parasitic,8.41,13.15,7.52,36-60,Male,351586,58.96,4.37,4.05,Surgery,16200.0,Yes,63.53,3891.0,9.73,77009.0,0.78,30.25 +78569,Brazil,2018,Parkinson's Disease,Chronic,13.92,7.34,6.72,61+,Female,334265,97.7,3.64,3.18,Therapy,12029.0,No,65.43,1086.0,3.37,17165.0,0.72,80.07 +78575,Canada,2024,Hypertension,Autoimmune,18.28,10.29,0.82,61+,Male,454583,93.51,3.85,7.16,Surgery,26805.0,Yes,92.57,4201.0,2.44,28579.0,0.68,25.2 +78577,Italy,2011,Alzheimer's Disease,Metabolic,17.2,9.04,3.11,19-35,Male,122551,85.78,2.15,6.67,Vaccination,27080.0,No,69.78,1046.0,5.64,47364.0,0.69,50.64 +78580,Russia,2001,Cholera,Chronic,7.37,14.63,7.32,36-60,Other,17643,79.56,2.5,3.41,Medication,37349.0,Yes,68.07,343.0,7.62,58155.0,0.43,43.77 +78585,South Korea,2016,Cholera,Infectious,13.17,7.28,9.48,19-35,Female,885586,73.41,4.2,2.93,Medication,11743.0,Yes,97.13,3339.0,7.14,29717.0,0.49,31.29 +78606,USA,2006,HIV/AIDS,Autoimmune,14.69,7.91,5.39,61+,Female,126123,70.68,1.08,1.13,Surgery,38408.0,Yes,50.69,3075.0,9.08,28399.0,0.73,45.06 +78607,Brazil,2002,Tuberculosis,Chronic,0.81,6.72,5.89,36-60,Other,998959,55.85,2.53,0.86,Medication,6197.0,No,72.47,2696.0,1.96,52102.0,0.54,69.64 +78608,Canada,2022,Dengue,Genetic,17.47,14.15,2.72,61+,Male,152546,81.2,1.95,7.01,Vaccination,13987.0,No,83.54,2771.0,5.28,76196.0,0.48,53.22 +78614,South Korea,2011,Diabetes,Parasitic,11.89,8.6,0.71,61+,Female,103985,97.93,4.06,2.14,Vaccination,44892.0,No,71.87,2238.0,9.77,18236.0,0.75,54.78 +78616,UK,2016,Dengue,Infectious,14.61,6.48,0.97,36-60,Other,294740,62.54,1.02,6.58,Therapy,28036.0,No,85.79,2960.0,0.08,6628.0,0.53,61.94 +78618,USA,2015,Measles,Neurological,10.51,9.34,6.91,19-35,Male,144434,94.35,4.59,3.1,Vaccination,45360.0,Yes,88.51,4783.0,2.72,50759.0,0.47,80.33 +78626,Argentina,2021,Asthma,Chronic,7.87,0.24,7.15,36-60,Female,880230,57.6,2.14,9.44,Vaccination,43531.0,No,52.5,4399.0,3.46,62849.0,0.41,21.45 +78634,Argentina,2005,Malaria,Bacterial,17.27,2.49,3.79,19-35,Male,346987,94.63,3.91,5.25,Vaccination,32807.0,No,52.04,1990.0,2.24,60964.0,0.5,38.28 +78643,Nigeria,2019,Cancer,Chronic,13.67,12.75,3.06,36-60,Female,268488,59.19,2.87,9.39,Surgery,32790.0,Yes,56.98,1173.0,9.27,8076.0,0.45,32.52 +78644,Canada,2019,Dengue,Chronic,5.04,4.14,1.31,0-18,Male,695307,68.99,4.76,8.37,Medication,24063.0,No,58.79,2008.0,0.52,55154.0,0.64,85.53 +78647,Indonesia,2013,Hypertension,Neurological,10.13,6.59,7.06,19-35,Female,632331,77.58,0.69,2.92,Medication,27653.0,Yes,87.07,3634.0,2.57,61294.0,0.82,53.45 +78652,Germany,2003,Zika,Infectious,8.36,11.17,5.72,0-18,Male,671889,55.29,2.86,1.81,Therapy,14597.0,No,84.33,4316.0,3.53,15914.0,0.83,34.49 +78659,UK,2007,Tuberculosis,Viral,15.33,7.06,5.11,61+,Other,860138,78.73,3.52,4.01,Medication,41420.0,No,84.04,4222.0,7.48,51289.0,0.73,78.28 +78666,China,2021,HIV/AIDS,Neurological,11.91,0.24,7.25,0-18,Other,31460,86.89,3.96,0.6,Surgery,6616.0,Yes,81.93,3899.0,4.19,66145.0,0.51,48.94 +78668,Germany,2024,COVID-19,Autoimmune,9.66,6.23,1.58,36-60,Female,765489,77.13,4.06,4.16,Surgery,12022.0,No,52.45,3485.0,0.02,88500.0,0.42,55.05 +78674,Russia,2019,Parkinson's Disease,Genetic,17.54,13.78,5.74,0-18,Male,603495,96.34,2.65,0.63,Therapy,22998.0,No,55.49,268.0,0.87,26661.0,0.85,49.73 +78687,Saudi Arabia,2014,Parkinson's Disease,Autoimmune,1.68,13.86,1.31,36-60,Other,862537,77.22,2.52,2.14,Vaccination,8267.0,No,68.81,4764.0,7.7,50071.0,0.86,38.31 +78692,Nigeria,2009,Malaria,Genetic,14.48,11.43,2.3,36-60,Male,420552,78.16,2.79,5.26,Medication,43120.0,No,98.81,446.0,9.88,8595.0,0.64,65.05 +78699,Australia,2017,Dengue,Cardiovascular,7.33,4.88,5.0,19-35,Female,695029,99.54,1.98,6.1,Medication,47052.0,No,60.77,559.0,9.14,21660.0,0.49,28.72 +78700,Germany,2013,Polio,Chronic,13.98,13.72,1.86,36-60,Female,517534,72.94,3.15,6.82,Therapy,5314.0,No,92.59,2538.0,9.06,26344.0,0.58,27.62 +78702,Germany,2007,HIV/AIDS,Cardiovascular,16.45,11.2,6.93,0-18,Other,576100,63.79,2.86,9.03,Medication,6313.0,Yes,76.76,886.0,0.37,86423.0,0.8,65.65 +78703,Italy,2003,Cancer,Genetic,11.35,3.22,5.16,36-60,Other,649801,54.41,0.61,5.47,Surgery,39742.0,Yes,79.12,3664.0,7.12,11301.0,0.78,50.56 +78704,Nigeria,2002,Cancer,Infectious,5.13,9.82,8.45,0-18,Other,852393,63.92,0.53,5.32,Vaccination,2362.0,Yes,63.81,680.0,4.07,68773.0,0.53,77.59 +78706,Germany,2002,Measles,Bacterial,6.82,5.32,4.27,36-60,Male,627488,57.56,1.16,5.09,Medication,15567.0,No,85.52,4978.0,9.32,78128.0,0.74,75.27 +78707,Australia,2010,COVID-19,Viral,19.82,2.06,8.4,19-35,Other,893631,80.94,3.82,0.5,Medication,9304.0,No,89.73,4272.0,3.16,25683.0,0.57,85.38 +78710,Nigeria,2015,Rabies,Metabolic,18.28,8.52,6.91,19-35,Male,974566,82.52,4.9,5.03,Medication,3465.0,Yes,88.1,947.0,3.95,92771.0,0.85,24.99 +78712,Canada,2004,Tuberculosis,Bacterial,17.71,2.89,2.33,36-60,Male,625296,95.41,1.27,2.91,Therapy,3654.0,No,61.01,846.0,0.94,60591.0,0.61,32.11 +78713,India,2022,Diabetes,Cardiovascular,17.78,7.56,7.07,36-60,Other,683595,91.95,2.83,6.37,Vaccination,34931.0,No,70.51,3322.0,4.06,26423.0,0.88,47.2 +78715,India,2016,Leprosy,Chronic,9.09,7.67,1.06,19-35,Male,440565,92.47,2.41,5.76,Surgery,25307.0,No,84.57,4985.0,4.47,84118.0,0.73,89.79 +78716,Brazil,2014,Dengue,Metabolic,16.99,1.99,5.84,36-60,Female,660040,69.19,0.99,1.68,Therapy,32300.0,Yes,75.4,3957.0,1.81,45906.0,0.54,44.5 +78720,Argentina,2005,Influenza,Autoimmune,8.34,7.5,2.78,36-60,Female,31069,90.57,1.48,1.41,Therapy,20917.0,Yes,94.9,15.0,7.12,61497.0,0.56,24.76 +78722,Russia,2018,Measles,Infectious,2.4,15.0,5.35,36-60,Male,542309,77.2,4.45,7.61,Surgery,37995.0,Yes,59.28,177.0,2.4,58102.0,0.46,25.17 +78724,Nigeria,2023,Rabies,Chronic,19.51,0.98,2.11,0-18,Male,687180,83.09,3.84,7.55,Vaccination,29410.0,Yes,92.26,148.0,9.69,9815.0,0.79,60.64 +78725,Saudi Arabia,2015,Hepatitis,Bacterial,17.46,9.39,5.3,36-60,Female,579915,50.57,0.68,5.21,Surgery,4671.0,Yes,87.31,1247.0,6.71,33590.0,0.74,33.63 +78727,Germany,2000,Leprosy,Chronic,16.93,7.35,4.61,0-18,Female,339776,78.93,3.68,0.72,Medication,38471.0,Yes,82.82,3705.0,0.39,37739.0,0.66,36.64 +78729,Russia,2020,Hepatitis,Respiratory,10.36,7.24,1.08,36-60,Female,31009,78.3,1.5,1.0,Therapy,37969.0,Yes,50.71,1813.0,2.97,16837.0,0.83,36.58 +78732,Brazil,2013,COVID-19,Neurological,0.55,12.12,8.12,19-35,Male,359805,84.32,2.78,9.32,Vaccination,44282.0,Yes,85.0,1523.0,7.25,90770.0,0.79,20.26 +78743,China,2006,Hepatitis,Cardiovascular,1.55,0.32,6.79,36-60,Other,923143,58.78,4.18,9.55,Therapy,26919.0,Yes,70.06,3842.0,6.96,6981.0,0.7,24.7 +78753,Indonesia,2007,COVID-19,Bacterial,2.3,10.36,4.76,36-60,Other,270220,93.36,0.85,2.61,Medication,34966.0,Yes,65.54,3506.0,3.57,31873.0,0.43,20.84 +78756,Brazil,2006,COVID-19,Genetic,1.54,11.72,2.69,61+,Other,552575,75.98,2.2,9.58,Medication,2008.0,Yes,73.34,1914.0,2.12,95679.0,0.45,40.96 +78759,South Korea,2019,Cholera,Cardiovascular,9.43,11.12,1.06,19-35,Other,993240,82.23,3.15,2.02,Vaccination,36795.0,Yes,54.94,2964.0,8.03,5747.0,0.81,26.23 +78761,UK,2023,Zika,Genetic,9.45,6.64,3.51,36-60,Other,810409,57.39,3.26,2.31,Medication,25307.0,Yes,77.01,3706.0,3.36,89563.0,0.66,76.2 +78763,USA,2003,Zika,Parasitic,8.3,2.34,2.42,61+,Female,267597,66.25,1.9,6.56,Therapy,2741.0,No,89.84,1335.0,3.23,16464.0,0.62,56.31 +78765,India,2017,Polio,Bacterial,7.2,11.12,8.44,19-35,Male,646284,69.01,0.82,4.11,Therapy,42494.0,No,77.74,1159.0,1.04,35093.0,0.71,75.08 +78777,France,2015,Asthma,Respiratory,18.48,4.37,8.53,36-60,Male,300580,98.7,4.47,6.17,Vaccination,39223.0,No,72.11,814.0,0.85,38827.0,0.58,80.23 +78781,Australia,2009,Influenza,Cardiovascular,15.22,7.6,5.83,19-35,Male,291515,84.89,1.2,9.51,Medication,19981.0,No,62.78,4498.0,6.92,40184.0,0.84,51.01 +78782,Germany,2024,Leprosy,Infectious,1.88,6.28,6.1,61+,Female,821778,82.39,2.92,7.52,Vaccination,39130.0,Yes,52.88,2151.0,9.0,2319.0,0.61,73.71 +78787,Canada,2007,Rabies,Cardiovascular,14.54,12.78,1.38,61+,Other,452796,53.37,3.69,1.57,Medication,665.0,No,88.96,4476.0,2.47,11639.0,0.42,81.22 +78788,Mexico,2018,Leprosy,Cardiovascular,17.44,5.31,6.67,19-35,Male,942599,84.13,1.77,9.7,Therapy,25522.0,Yes,62.85,466.0,9.6,35492.0,0.64,42.81 +78793,Japan,2003,Cholera,Respiratory,6.83,0.16,8.22,61+,Male,43490,97.42,4.14,0.65,Medication,6239.0,Yes,87.28,1404.0,1.86,30405.0,0.78,78.8 +78796,Australia,2006,Tuberculosis,Autoimmune,19.96,3.35,5.47,61+,Male,856665,72.05,0.65,9.52,Therapy,48468.0,Yes,87.9,4699.0,2.64,18385.0,0.72,33.05 +78808,South Korea,2023,Ebola,Genetic,2.85,3.0,4.78,19-35,Other,24392,84.22,3.04,1.34,Surgery,6125.0,Yes,96.02,3585.0,7.79,98755.0,0.66,70.18 +78815,South Africa,2013,Zika,Metabolic,5.49,2.76,6.24,61+,Female,936099,88.2,2.45,0.81,Therapy,28666.0,No,51.86,4576.0,4.59,35420.0,0.6,65.05 +78821,Russia,2020,Hypertension,Genetic,13.02,9.92,5.73,61+,Male,211510,70.48,0.79,5.9,Vaccination,8317.0,Yes,63.32,1331.0,9.18,3511.0,0.5,51.53 +78823,South Korea,2001,Parkinson's Disease,Parasitic,17.32,8.83,9.23,0-18,Female,711037,91.85,4.45,6.31,Vaccination,5888.0,Yes,93.36,4348.0,9.52,16203.0,0.45,79.18 +78838,France,2006,Zika,Cardiovascular,3.17,5.91,2.93,0-18,Female,850457,93.47,2.97,3.28,Vaccination,40052.0,No,86.42,4749.0,6.06,50038.0,0.72,77.58 +78842,South Africa,2015,COVID-19,Parasitic,10.48,6.47,4.34,36-60,Other,874664,56.06,2.83,6.59,Therapy,5447.0,No,68.57,2635.0,7.92,50779.0,0.84,41.84 +78847,Indonesia,2024,Asthma,Parasitic,5.58,10.77,6.39,0-18,Male,579599,51.82,2.78,1.38,Medication,2726.0,Yes,89.13,1115.0,9.47,88228.0,0.75,38.21 +78849,South Africa,2000,COVID-19,Neurological,1.48,14.47,2.87,19-35,Other,322806,87.71,2.63,1.43,Surgery,37365.0,Yes,90.95,906.0,2.42,25202.0,0.86,45.38 +78855,Canada,2013,Polio,Parasitic,15.71,11.31,4.86,61+,Male,40276,72.02,2.35,6.08,Medication,34183.0,No,86.06,196.0,8.59,49707.0,0.73,41.44 +78866,Germany,2022,Cancer,Genetic,12.41,8.44,6.25,61+,Female,609504,54.99,4.35,3.27,Therapy,33231.0,Yes,92.35,3147.0,8.08,89197.0,0.64,84.82 +78869,South Korea,2022,COVID-19,Metabolic,6.48,3.3,8.5,19-35,Other,156683,59.46,3.79,1.36,Surgery,34680.0,Yes,50.08,1292.0,5.52,86323.0,0.58,66.68 +78871,Australia,2023,Dengue,Parasitic,4.83,3.57,3.76,19-35,Female,425616,71.28,4.27,9.39,Vaccination,27093.0,Yes,51.56,3861.0,7.28,91708.0,0.43,43.17 +78875,India,2001,Dengue,Cardiovascular,15.96,14.37,6.06,36-60,Male,944441,91.35,4.89,2.96,Medication,45758.0,Yes,66.2,3049.0,5.32,92778.0,0.41,82.67 +78882,South Africa,2000,Asthma,Bacterial,7.48,14.81,4.87,36-60,Other,378041,63.05,4.05,1.77,Surgery,38034.0,Yes,54.46,2200.0,3.59,49656.0,0.4,46.5 +78885,Brazil,2010,Dengue,Genetic,19.11,13.84,6.26,0-18,Female,508152,93.65,3.49,4.56,Medication,36420.0,No,65.49,136.0,8.02,14286.0,0.85,30.29 +78900,India,2017,Tuberculosis,Parasitic,11.54,9.36,4.05,61+,Other,840815,97.47,1.06,9.7,Therapy,30141.0,No,53.11,4654.0,3.95,91636.0,0.67,49.47 +78905,South Africa,2021,Tuberculosis,Respiratory,8.16,14.63,4.79,61+,Male,41696,87.66,2.97,1.37,Therapy,16604.0,Yes,56.45,3436.0,4.41,3212.0,0.75,60.14 +78910,Indonesia,2013,Hepatitis,Viral,3.11,10.28,4.75,0-18,Other,118996,74.49,2.17,1.84,Therapy,19938.0,No,77.13,1897.0,1.95,36869.0,0.73,67.02 +78912,Canada,2005,Asthma,Genetic,11.02,13.22,4.39,19-35,Male,256241,65.94,3.16,5.1,Vaccination,38364.0,Yes,89.66,3633.0,6.22,6437.0,0.85,21.06 +78920,USA,2017,Diabetes,Bacterial,19.56,15.0,1.28,19-35,Male,281722,93.26,1.95,2.46,Medication,31369.0,No,57.18,993.0,7.29,73159.0,0.5,67.69 +78924,Germany,2016,Polio,Bacterial,16.03,8.0,1.29,36-60,Female,585629,80.35,2.08,3.02,Medication,28437.0,No,69.35,3871.0,2.17,80377.0,0.49,41.25 +78936,Indonesia,2021,Hypertension,Cardiovascular,2.71,11.95,1.58,0-18,Male,32950,64.48,3.31,8.78,Medication,1113.0,No,88.91,3537.0,0.74,59497.0,0.8,89.93 +78940,Turkey,2009,Measles,Respiratory,14.75,0.49,8.38,61+,Female,685187,73.97,0.73,5.67,Vaccination,18838.0,Yes,92.07,85.0,5.48,47535.0,0.44,24.39 +78945,Russia,2019,Hepatitis,Neurological,3.45,10.04,6.47,61+,Other,612101,77.34,1.88,6.86,Therapy,6883.0,Yes,89.55,48.0,9.49,33947.0,0.74,74.41 +78953,Canada,2016,Dengue,Parasitic,6.63,1.0,8.01,0-18,Male,993192,91.15,1.59,3.6,Medication,26466.0,Yes,76.56,4238.0,9.67,38861.0,0.68,23.12 +78959,France,2001,Alzheimer's Disease,Respiratory,11.07,6.32,5.24,0-18,Other,287818,80.63,2.99,9.54,Vaccination,16484.0,No,81.67,4042.0,8.95,44462.0,0.87,40.66 +78966,Saudi Arabia,2008,Hypertension,Viral,6.36,11.03,8.96,19-35,Other,158960,59.18,3.64,9.96,Surgery,9368.0,Yes,52.98,2391.0,2.05,71961.0,0.45,85.78 +78968,USA,2005,Asthma,Infectious,8.12,11.63,7.47,61+,Other,575245,73.22,4.47,1.9,Therapy,41057.0,Yes,61.51,514.0,6.17,17328.0,0.76,65.67 +78969,Turkey,2016,Tuberculosis,Infectious,0.93,14.9,5.84,61+,Other,278026,97.75,3.4,6.73,Medication,8985.0,Yes,90.06,2788.0,4.61,77253.0,0.59,87.5 +78981,Turkey,2018,HIV/AIDS,Respiratory,1.89,12.86,6.83,36-60,Female,265842,61.08,1.0,6.25,Surgery,18465.0,No,72.17,1661.0,1.84,70114.0,0.58,37.09 +78988,South Korea,2013,Polio,Bacterial,2.25,10.96,8.28,0-18,Other,889846,81.33,3.69,3.07,Surgery,37694.0,No,94.03,2005.0,8.81,96030.0,0.42,38.98 +78995,Mexico,2019,Alzheimer's Disease,Respiratory,13.66,7.89,3.84,19-35,Female,22131,56.93,1.99,2.99,Therapy,35684.0,No,74.88,3205.0,6.53,14621.0,0.76,57.36 +79003,Turkey,2019,Tuberculosis,Respiratory,19.59,13.98,5.73,61+,Male,500446,52.66,2.83,8.03,Therapy,4043.0,Yes,62.47,3991.0,8.74,22348.0,0.51,41.39 +79008,Canada,2019,Cancer,Parasitic,18.85,8.35,6.06,61+,Female,172026,89.7,0.71,7.29,Therapy,32262.0,No,54.25,2461.0,9.72,97436.0,0.55,24.61 +79009,USA,2004,Polio,Genetic,8.75,2.25,5.38,61+,Male,259752,68.07,4.1,6.12,Surgery,39735.0,No,68.92,3654.0,9.62,22264.0,0.86,29.03 +79012,Japan,2023,Influenza,Parasitic,3.42,4.6,1.01,0-18,Male,667148,71.11,4.75,2.14,Medication,5221.0,Yes,73.27,1063.0,3.11,92505.0,0.87,53.28 +79014,Australia,2021,Influenza,Viral,4.4,5.96,7.0,0-18,Female,698459,60.67,1.98,5.03,Vaccination,39737.0,Yes,92.55,993.0,6.92,69409.0,0.88,57.72 +79023,Germany,2020,Hypertension,Cardiovascular,14.46,0.69,4.1,36-60,Male,63752,68.88,2.28,5.36,Therapy,40020.0,No,87.22,2293.0,3.94,36832.0,0.48,53.14 +79030,France,2018,Cancer,Autoimmune,17.0,6.51,8.71,0-18,Other,850345,79.01,0.6,5.75,Therapy,44049.0,No,88.51,2415.0,0.55,16276.0,0.67,45.42 +79032,South Korea,2014,Parkinson's Disease,Bacterial,6.07,3.06,6.16,36-60,Other,98594,96.53,0.65,3.05,Vaccination,5533.0,Yes,60.96,1393.0,3.57,76080.0,0.42,77.78 +79036,USA,2011,Dengue,Metabolic,14.77,5.07,4.57,36-60,Female,545783,78.21,1.66,5.41,Vaccination,20104.0,Yes,52.78,4453.0,0.64,67540.0,0.76,87.54 +79038,Turkey,2000,Dengue,Bacterial,8.63,4.96,6.01,0-18,Female,989981,57.41,4.92,8.02,Vaccination,24229.0,No,92.73,3515.0,5.48,19490.0,0.8,52.91 +79041,Turkey,2007,Malaria,Parasitic,0.24,4.22,3.36,61+,Other,835694,56.29,4.93,1.54,Therapy,47703.0,Yes,63.94,3258.0,5.29,19722.0,0.71,84.17 +79046,UK,2002,Tuberculosis,Viral,13.12,5.53,0.74,36-60,Other,727983,71.38,2.96,6.98,Surgery,3376.0,Yes,86.06,780.0,3.67,15056.0,0.9,47.24 +79054,South Korea,2016,Parkinson's Disease,Autoimmune,11.45,5.63,9.87,36-60,Male,448365,81.12,1.88,2.7,Surgery,29703.0,No,68.67,3565.0,4.99,76950.0,0.51,59.33 +79058,France,2004,Measles,Cardiovascular,7.25,4.18,9.3,36-60,Female,990988,95.47,0.93,2.55,Therapy,37052.0,Yes,54.59,1643.0,3.77,11864.0,0.82,76.24 +79062,Russia,2002,Influenza,Neurological,12.4,13.42,1.68,61+,Male,788057,83.12,3.94,8.04,Medication,5013.0,No,82.24,1659.0,1.99,54015.0,0.57,42.4 +79068,Russia,2005,Diabetes,Genetic,6.57,9.79,0.81,19-35,Male,808423,71.26,1.42,3.52,Medication,34798.0,Yes,51.5,3103.0,6.14,20306.0,0.44,84.51 +79074,Mexico,2003,Measles,Chronic,15.86,13.87,1.05,0-18,Other,743514,85.55,1.2,1.05,Medication,2239.0,No,93.5,1158.0,6.69,68381.0,0.46,27.96 +79099,France,2020,Hepatitis,Parasitic,11.63,3.26,0.57,36-60,Female,200922,68.36,4.09,3.69,Therapy,25501.0,Yes,51.93,465.0,3.16,72716.0,0.61,77.24 +79100,Italy,2003,Ebola,Respiratory,14.08,5.01,2.2,36-60,Male,263520,68.64,4.74,5.48,Therapy,41401.0,Yes,86.49,2482.0,6.13,31745.0,0.75,56.28 +79104,India,2001,Alzheimer's Disease,Respiratory,1.76,13.56,7.97,61+,Female,445351,56.07,3.88,2.36,Vaccination,10778.0,Yes,62.58,303.0,0.5,4343.0,0.6,67.25 +79111,Russia,2010,Measles,Viral,10.93,11.73,3.2,36-60,Male,808696,58.91,2.82,8.5,Vaccination,30321.0,Yes,68.47,2128.0,3.29,11673.0,0.67,59.36 +79122,Australia,2016,Zika,Bacterial,1.56,8.06,0.3,61+,Female,722769,90.34,4.02,6.52,Therapy,24036.0,Yes,70.18,3030.0,6.66,71912.0,0.86,63.51 +79124,China,2016,Diabetes,Respiratory,12.08,5.71,4.79,0-18,Male,84627,67.96,0.97,5.62,Therapy,1345.0,Yes,93.4,2617.0,6.37,38196.0,0.46,43.28 +79127,Canada,2010,Alzheimer's Disease,Respiratory,7.8,13.64,6.43,61+,Male,7091,69.31,3.99,5.91,Vaccination,49449.0,No,55.29,1534.0,7.58,40057.0,0.65,38.94 +79130,Japan,2024,Polio,Viral,4.3,3.53,4.08,0-18,Female,321109,51.79,1.41,8.45,Medication,19667.0,No,67.32,448.0,0.74,77156.0,0.45,20.82 +79136,Saudi Arabia,2013,Influenza,Infectious,2.9,6.02,5.18,61+,Male,972894,57.95,4.56,6.17,Vaccination,31684.0,No,64.27,1334.0,8.45,33449.0,0.81,54.15 +79141,Russia,2022,Zika,Viral,11.87,8.69,5.11,36-60,Other,772141,57.73,4.77,5.7,Therapy,23927.0,Yes,71.15,4790.0,0.38,75334.0,0.63,67.48 +79143,Australia,2020,HIV/AIDS,Parasitic,0.54,0.76,0.12,36-60,Female,715663,73.77,1.44,5.66,Medication,46761.0,Yes,55.17,3371.0,9.6,2677.0,0.64,29.22 +79151,UK,2003,Ebola,Bacterial,3.54,4.41,7.7,36-60,Female,989416,74.11,4.25,6.0,Vaccination,30328.0,Yes,62.39,4754.0,9.81,93616.0,0.74,22.9 +79152,Brazil,2021,Parkinson's Disease,Metabolic,12.66,3.39,9.33,36-60,Other,85047,58.69,1.24,9.56,Surgery,4822.0,No,86.26,4705.0,4.23,53991.0,0.71,25.73 +79161,Brazil,2001,Cholera,Genetic,7.88,8.17,4.77,61+,Other,497356,51.29,1.38,0.6,Surgery,7439.0,Yes,66.24,3938.0,4.46,67218.0,0.52,77.84 +79163,India,2000,Hepatitis,Neurological,9.83,8.46,3.17,0-18,Male,397170,79.88,3.7,1.75,Surgery,30560.0,Yes,91.12,1696.0,8.9,5682.0,0.68,87.91 +79164,USA,2005,Cholera,Viral,2.89,1.84,8.06,61+,Female,604854,77.92,3.47,1.96,Vaccination,27906.0,Yes,76.32,2967.0,4.71,79876.0,0.77,45.09 +79165,South Korea,2022,Hypertension,Infectious,8.66,7.15,9.26,0-18,Female,302324,86.41,3.04,2.1,Surgery,24237.0,Yes,76.68,2561.0,5.88,89769.0,0.86,62.68 +79169,South Korea,2009,Rabies,Infectious,2.37,2.81,6.21,19-35,Female,153320,76.44,2.4,4.86,Vaccination,22553.0,No,93.73,3152.0,1.66,83136.0,0.5,62.34 +79172,Germany,2004,Leprosy,Infectious,7.33,4.91,3.72,36-60,Male,338664,78.28,1.63,2.17,Medication,42647.0,Yes,88.04,3733.0,2.41,3491.0,0.72,82.83 +79174,Mexico,2018,Alzheimer's Disease,Metabolic,17.92,4.08,6.45,61+,Female,529995,57.82,1.23,8.56,Surgery,48752.0,No,97.96,2940.0,6.72,1946.0,0.45,80.08 +79178,Canada,2003,Diabetes,Chronic,11.47,1.05,4.5,0-18,Male,45288,50.42,2.43,2.45,Medication,32500.0,No,59.49,2475.0,9.94,72358.0,0.88,51.8 +79180,UK,2006,Malaria,Parasitic,7.99,3.16,2.06,19-35,Other,193871,95.54,1.51,5.8,Medication,1498.0,Yes,57.79,3542.0,1.47,34923.0,0.86,74.61 +79189,Mexico,2006,Asthma,Respiratory,10.72,3.4,6.56,61+,Other,347512,73.75,3.37,0.53,Therapy,16606.0,No,83.52,4487.0,6.28,17153.0,0.55,20.55 +79202,UK,2016,Polio,Autoimmune,10.35,5.37,8.76,36-60,Female,904566,72.77,4.17,4.08,Medication,25903.0,Yes,64.7,670.0,1.17,63318.0,0.83,73.13 +79213,Mexico,2005,Polio,Infectious,17.59,1.09,9.26,36-60,Other,261986,86.32,2.77,7.41,Medication,49444.0,Yes,57.24,3556.0,6.64,39636.0,0.85,60.2 +79217,France,2016,Hepatitis,Respiratory,6.01,2.58,2.75,36-60,Male,95657,86.07,3.64,9.25,Medication,1058.0,Yes,82.17,2093.0,2.37,75734.0,0.55,27.75 +79221,China,2017,Parkinson's Disease,Viral,15.89,6.91,1.21,0-18,Female,36899,97.04,4.1,8.57,Therapy,6088.0,Yes,78.64,890.0,3.62,93704.0,0.77,48.22 +79223,Italy,2023,Cholera,Autoimmune,9.94,3.65,8.49,0-18,Male,1156,56.5,2.84,6.73,Vaccination,16848.0,Yes,53.91,3085.0,6.26,26200.0,0.55,47.67 +79224,Germany,2010,Hepatitis,Metabolic,19.24,0.94,2.26,0-18,Other,592177,73.94,4.32,1.42,Surgery,39927.0,Yes,65.75,2077.0,7.4,8064.0,0.9,85.22 +79225,Japan,2023,Hepatitis,Bacterial,2.16,3.82,1.06,0-18,Female,967620,53.39,1.44,6.99,Therapy,47090.0,No,72.35,2003.0,1.85,72429.0,0.61,86.92 +79231,South Africa,2013,Malaria,Parasitic,17.05,9.39,6.45,36-60,Other,238475,75.17,0.61,9.32,Therapy,6126.0,Yes,87.73,23.0,8.99,1605.0,0.4,59.26 +79235,Argentina,2009,Dengue,Viral,19.45,12.4,9.94,36-60,Male,23410,67.99,3.81,9.46,Surgery,42151.0,No,93.0,4696.0,1.16,68212.0,0.8,78.11 +79251,Mexico,2007,Rabies,Neurological,1.83,6.91,0.9,19-35,Female,527534,51.05,0.95,1.16,Surgery,25411.0,Yes,50.08,927.0,2.62,78085.0,0.68,44.21 +79255,South Korea,2009,Cholera,Respiratory,19.81,9.7,4.46,36-60,Female,135730,95.51,2.08,8.02,Medication,35766.0,No,71.33,2219.0,8.79,52217.0,0.52,53.55 +79258,China,2014,Diabetes,Parasitic,1.15,2.65,7.41,19-35,Female,812719,84.72,2.31,4.72,Medication,30362.0,No,51.32,2498.0,5.39,21722.0,0.73,25.54 +79263,Saudi Arabia,2002,Parkinson's Disease,Cardiovascular,0.57,9.78,8.26,61+,Female,955104,70.35,4.68,5.46,Vaccination,16834.0,No,78.47,506.0,3.85,71967.0,0.87,42.46 +79270,Japan,2004,Malaria,Autoimmune,13.79,11.53,6.45,36-60,Other,839978,55.25,4.52,8.75,Surgery,38067.0,No,94.13,370.0,8.29,12186.0,0.7,81.76 +79274,Nigeria,2022,HIV/AIDS,Bacterial,12.11,7.63,4.1,19-35,Other,234292,86.25,4.45,6.34,Surgery,40921.0,No,55.53,935.0,0.06,27436.0,0.76,81.13 +79283,South Korea,2011,Cholera,Bacterial,1.32,0.84,1.9,0-18,Male,448313,72.66,4.02,0.9,Therapy,33780.0,No,65.48,3335.0,6.08,92429.0,0.5,56.75 +79289,China,2024,Asthma,Genetic,4.78,11.95,3.32,0-18,Male,229710,87.5,0.81,4.43,Therapy,48323.0,Yes,90.06,2650.0,2.22,535.0,0.57,26.81 +79292,Turkey,2003,Zika,Viral,12.67,7.66,7.02,19-35,Other,661884,79.51,3.56,6.14,Therapy,34294.0,Yes,75.83,4501.0,0.07,46975.0,0.69,69.83 +79299,Germany,2005,COVID-19,Viral,8.85,13.58,4.79,61+,Male,810903,87.21,2.06,4.8,Surgery,19296.0,Yes,75.86,4997.0,6.17,64290.0,0.46,53.36 +79315,Italy,2006,Cholera,Cardiovascular,17.27,12.93,0.59,61+,Other,708209,89.37,4.86,2.26,Surgery,46543.0,No,84.16,2017.0,9.12,4345.0,0.73,28.53 +79316,Turkey,2007,Leprosy,Neurological,17.88,14.47,7.79,0-18,Other,417561,63.1,4.16,2.17,Vaccination,22521.0,Yes,67.93,4124.0,0.13,73996.0,0.53,34.56 +79319,Turkey,2022,HIV/AIDS,Cardiovascular,12.94,4.18,8.81,61+,Male,46570,93.26,4.84,8.33,Vaccination,35180.0,Yes,51.17,1320.0,7.1,95947.0,0.76,87.34 +79320,UK,2003,Hypertension,Bacterial,9.33,5.36,2.4,61+,Male,293232,78.64,4.07,7.11,Therapy,29213.0,Yes,94.59,3826.0,2.55,47194.0,0.85,48.34 +79328,South Africa,2008,Hypertension,Neurological,11.47,10.49,3.34,0-18,Male,263454,64.69,0.56,7.26,Medication,11892.0,Yes,98.8,2555.0,7.51,91434.0,0.87,85.98 +79335,Brazil,2014,Hepatitis,Respiratory,7.47,14.91,5.08,0-18,Female,86288,85.43,3.18,4.63,Medication,9259.0,No,70.4,4189.0,5.34,81748.0,0.48,63.41 +79340,Russia,2008,Asthma,Neurological,2.47,4.79,7.34,0-18,Male,616691,81.42,2.69,8.76,Therapy,10756.0,Yes,75.77,4283.0,2.93,66809.0,0.73,25.07 +79344,Germany,2019,Cancer,Bacterial,1.85,3.86,2.27,36-60,Female,966448,88.9,3.51,2.99,Surgery,49263.0,Yes,74.54,4554.0,6.46,68762.0,0.65,65.14 +79353,India,2019,Diabetes,Chronic,8.0,7.67,5.01,61+,Other,991773,96.3,1.56,7.06,Vaccination,49200.0,No,83.64,1119.0,4.51,75673.0,0.9,79.49 +79354,South Africa,2016,Hypertension,Viral,8.97,11.37,5.02,61+,Other,664657,59.04,1.23,9.75,Vaccination,1524.0,No,52.96,3203.0,8.42,65781.0,0.69,77.09 +79355,France,2007,COVID-19,Neurological,2.44,10.55,2.15,19-35,Male,969434,50.98,4.07,4.87,Medication,45932.0,No,95.24,2011.0,9.85,40626.0,0.54,25.86 +79357,Russia,2006,Malaria,Infectious,2.84,0.97,4.54,0-18,Other,236531,96.24,4.64,4.8,Vaccination,21537.0,Yes,79.16,3461.0,3.29,32905.0,0.77,87.04 +79364,USA,2021,Zika,Bacterial,10.59,0.88,4.54,36-60,Female,433500,71.21,3.7,5.42,Medication,38555.0,No,95.51,3732.0,7.75,70609.0,0.87,68.37 +79365,Brazil,2021,Leprosy,Viral,16.2,4.04,8.95,0-18,Male,674613,50.93,2.29,3.81,Surgery,27784.0,No,62.25,2122.0,7.46,76727.0,0.63,60.57 +79366,Canada,2006,Ebola,Neurological,10.27,14.82,0.76,19-35,Other,162115,82.23,2.01,6.61,Medication,3594.0,No,82.85,224.0,2.08,48736.0,0.57,40.08 +79370,Indonesia,2010,Measles,Genetic,1.2,4.82,1.56,0-18,Male,101732,77.13,2.85,8.27,Therapy,5763.0,Yes,57.18,4373.0,8.17,72244.0,0.51,68.96 +79373,Nigeria,2001,HIV/AIDS,Bacterial,18.2,3.22,0.51,19-35,Male,150200,80.42,1.04,7.87,Surgery,24565.0,No,70.16,144.0,8.8,40628.0,0.44,45.78 +79376,Turkey,2014,Cancer,Metabolic,3.77,8.47,6.39,19-35,Other,6546,94.12,3.41,0.55,Vaccination,8218.0,No,79.05,4347.0,3.16,27215.0,0.83,36.56 +79384,Japan,2007,Influenza,Viral,4.13,3.41,0.87,61+,Male,28997,79.6,1.51,7.4,Surgery,29396.0,No,76.1,4441.0,7.45,48814.0,0.41,87.1 +79385,Canada,2007,COVID-19,Genetic,16.58,9.32,4.76,19-35,Female,515141,85.04,4.99,1.0,Medication,2696.0,Yes,86.81,3895.0,5.35,28230.0,0.73,35.66 +79386,USA,2003,Malaria,Parasitic,9.16,4.87,8.4,36-60,Female,723701,85.73,1.19,1.58,Surgery,17503.0,No,77.5,1304.0,3.24,81986.0,0.54,78.34 +79390,Germany,2010,COVID-19,Viral,1.4,0.2,8.56,36-60,Male,361471,96.53,3.05,3.08,Vaccination,28863.0,Yes,67.78,78.0,7.21,50752.0,0.83,57.32 +79395,Japan,2013,Alzheimer's Disease,Autoimmune,12.87,6.27,4.45,36-60,Female,238835,72.76,1.86,2.61,Therapy,40822.0,Yes,86.18,2309.0,6.97,43638.0,0.78,77.74 +79399,Russia,2020,COVID-19,Bacterial,17.89,10.0,6.27,0-18,Female,256288,66.33,3.29,9.94,Vaccination,20337.0,No,91.51,4734.0,8.07,44482.0,0.83,21.93 +79404,Italy,2010,Polio,Bacterial,0.65,10.75,6.42,19-35,Male,138627,74.52,2.49,2.92,Surgery,31795.0,No,56.38,4907.0,0.81,97391.0,0.44,68.26 +79420,South Korea,2019,Cancer,Bacterial,3.99,13.7,8.51,36-60,Male,18241,86.26,1.23,9.02,Medication,31845.0,Yes,78.05,3288.0,4.12,43573.0,0.51,29.55 +79426,Argentina,2011,Polio,Infectious,3.99,7.03,2.93,61+,Female,434282,52.64,2.15,9.06,Medication,27717.0,No,54.43,4427.0,1.27,32348.0,0.56,70.11 +79434,Russia,2015,Ebola,Genetic,6.08,14.2,6.76,0-18,Other,701534,56.27,2.97,8.03,Vaccination,39354.0,Yes,63.56,2748.0,9.23,94391.0,0.51,67.41 +79435,Saudi Arabia,2008,Ebola,Infectious,6.84,14.03,4.18,61+,Female,287962,68.91,4.07,9.98,Therapy,9438.0,Yes,61.23,4714.0,3.21,94764.0,0.51,33.75 +79438,UK,2010,Influenza,Neurological,10.65,2.42,9.12,36-60,Other,251763,71.15,2.02,7.33,Vaccination,36799.0,No,84.48,3007.0,0.87,75944.0,0.72,80.78 +79443,China,2005,Cancer,Autoimmune,2.61,3.15,0.14,36-60,Male,337255,92.1,3.79,7.9,Medication,25755.0,No,77.0,1374.0,3.03,84653.0,0.67,42.04 +79446,Mexico,2015,Dengue,Bacterial,9.64,3.0,7.68,36-60,Female,236471,98.8,2.34,5.89,Vaccination,27939.0,Yes,68.98,3553.0,1.58,25336.0,0.62,86.17 +79449,India,2020,Zika,Bacterial,7.52,0.48,5.13,19-35,Male,205519,51.98,1.48,6.79,Medication,40693.0,No,90.18,3828.0,0.85,82834.0,0.69,31.37 +79454,Canada,2006,Asthma,Chronic,13.04,0.79,5.52,61+,Female,570272,76.73,3.76,7.97,Medication,11362.0,Yes,76.65,3291.0,4.95,68419.0,0.74,69.84 +79455,Russia,2009,Asthma,Chronic,7.32,11.67,0.44,0-18,Female,289500,56.5,3.03,6.73,Therapy,30807.0,No,61.15,2477.0,0.11,95128.0,0.48,43.18 +79456,Russia,2013,Zika,Viral,9.82,7.3,2.09,36-60,Male,629141,60.26,3.7,8.57,Surgery,21368.0,No,69.55,1625.0,9.56,81487.0,0.49,33.61 +79459,India,2021,Asthma,Autoimmune,6.94,8.19,7.14,36-60,Female,556671,74.41,2.45,7.75,Medication,7828.0,No,71.03,4327.0,9.16,25715.0,0.5,66.92 +79465,South Korea,2011,Hepatitis,Chronic,19.32,1.01,1.32,61+,Male,774520,89.31,0.58,6.78,Therapy,33424.0,No,67.77,1669.0,4.61,41045.0,0.56,59.14 +79473,Saudi Arabia,2002,Ebola,Metabolic,16.34,13.75,6.84,19-35,Female,535457,97.25,0.65,4.7,Surgery,33986.0,Yes,60.01,3434.0,1.47,68667.0,0.59,62.35 +79481,Australia,2011,HIV/AIDS,Genetic,1.14,4.06,7.29,36-60,Other,131045,55.66,1.82,2.58,Surgery,39353.0,Yes,97.35,1761.0,8.63,70516.0,0.66,85.76 +79496,Russia,2023,COVID-19,Genetic,1.51,13.67,4.9,19-35,Other,788189,96.99,3.45,0.74,Therapy,9287.0,No,83.62,1038.0,7.11,73671.0,0.77,54.44 +79501,India,2017,Malaria,Chronic,1.01,4.93,1.49,0-18,Female,73323,55.65,2.18,1.1,Vaccination,19131.0,Yes,83.93,3582.0,3.08,68902.0,0.82,70.19 +79503,Saudi Arabia,2002,Parkinson's Disease,Infectious,1.12,9.47,0.91,61+,Female,93976,57.53,3.24,3.44,Therapy,24116.0,No,56.47,3883.0,5.48,53706.0,0.83,45.45 +79509,Mexico,2011,HIV/AIDS,Neurological,18.68,9.19,3.02,36-60,Other,10902,94.05,2.83,8.53,Vaccination,5950.0,No,86.38,4319.0,5.76,28395.0,0.81,76.17 +79516,Japan,2018,Dengue,Genetic,14.09,14.97,0.75,61+,Female,749680,88.09,4.23,5.44,Medication,4813.0,No,53.58,3341.0,1.43,37759.0,0.83,48.02 +79520,USA,2006,Cancer,Cardiovascular,14.73,9.98,7.32,61+,Male,317671,52.58,1.49,3.44,Surgery,18673.0,No,74.83,4511.0,9.79,73200.0,0.76,82.54 +79528,Turkey,2007,Hepatitis,Chronic,15.89,10.73,7.77,36-60,Male,783578,98.49,1.55,4.43,Vaccination,39231.0,Yes,57.65,932.0,8.73,29097.0,0.5,77.13 +79534,Argentina,2019,Parkinson's Disease,Autoimmune,1.65,6.66,6.01,61+,Other,358684,89.11,0.69,8.93,Vaccination,35303.0,No,73.15,1932.0,3.13,6027.0,0.6,85.45 +79553,Japan,2022,Measles,Bacterial,7.69,12.63,5.8,61+,Other,578683,91.25,1.32,9.07,Surgery,17629.0,No,77.41,153.0,0.94,40802.0,0.75,67.42 +79559,USA,2001,Parkinson's Disease,Bacterial,10.06,1.63,7.82,36-60,Male,977985,80.63,4.83,6.57,Medication,48113.0,No,83.5,354.0,3.22,26241.0,0.87,27.99 +79569,Argentina,2011,Influenza,Bacterial,3.48,4.18,7.02,61+,Female,923228,64.33,3.62,9.29,Vaccination,18134.0,No,96.04,1107.0,5.8,64262.0,0.54,21.99 +79571,UK,2002,Measles,Genetic,17.09,11.48,4.24,61+,Male,222903,60.71,3.03,4.48,Surgery,34620.0,No,73.22,3159.0,5.26,98729.0,0.72,89.49 +79575,France,2019,Hypertension,Metabolic,4.7,2.9,3.9,36-60,Male,892238,84.86,4.72,4.01,Medication,26917.0,Yes,55.18,4158.0,2.88,74832.0,0.75,21.0 +79590,Mexico,2022,Alzheimer's Disease,Genetic,5.87,5.21,9.78,19-35,Female,288930,87.16,1.63,6.28,Therapy,16368.0,Yes,88.57,4879.0,7.89,51824.0,0.61,83.97 +79593,France,2012,Cancer,Respiratory,7.75,13.83,8.07,19-35,Male,617213,51.5,2.15,1.34,Medication,40853.0,Yes,63.33,4943.0,5.01,86245.0,0.69,64.94 +79600,Saudi Arabia,2014,Measles,Chronic,0.18,12.13,5.28,0-18,Male,144334,93.52,4.8,7.88,Medication,42200.0,No,57.55,4281.0,1.23,90915.0,0.52,75.67 +79615,Saudi Arabia,2011,Ebola,Respiratory,6.96,14.18,4.05,19-35,Other,26217,57.66,4.58,4.29,Vaccination,28274.0,No,52.1,3217.0,3.86,75142.0,0.49,41.78 +79619,Argentina,2022,Rabies,Parasitic,10.17,14.77,1.37,19-35,Male,866382,63.38,4.42,0.91,Vaccination,32180.0,Yes,58.68,4937.0,0.83,93485.0,0.41,61.56 +79622,France,2017,Parkinson's Disease,Parasitic,12.92,5.56,0.4,61+,Male,35396,69.85,0.8,8.7,Medication,32525.0,No,60.97,251.0,0.14,64021.0,0.87,36.53 +79624,Saudi Arabia,2010,HIV/AIDS,Viral,12.61,2.41,8.12,36-60,Other,605946,67.78,3.85,1.41,Surgery,13086.0,Yes,83.38,1087.0,6.02,33900.0,0.79,57.74 +79625,Canada,2015,Hypertension,Metabolic,10.53,7.9,2.78,19-35,Other,742516,92.33,1.99,1.02,Vaccination,23206.0,Yes,79.82,171.0,6.52,32131.0,0.79,73.17 +79633,Germany,2005,Polio,Parasitic,13.38,3.99,1.95,36-60,Other,263209,52.43,3.82,8.65,Medication,25255.0,No,84.64,4234.0,7.72,24957.0,0.6,26.76 +79634,Indonesia,2014,Dengue,Chronic,7.87,2.02,4.16,0-18,Other,730013,92.11,4.85,3.9,Medication,45451.0,No,63.77,3555.0,1.31,52951.0,0.65,25.38 +79637,Turkey,2018,Rabies,Genetic,1.72,5.92,0.84,36-60,Other,151970,96.45,1.88,8.7,Surgery,25224.0,No,59.92,3275.0,7.74,3658.0,0.77,53.72 +79644,UK,2018,Zika,Autoimmune,16.34,13.28,6.82,0-18,Other,325613,83.43,2.92,5.01,Vaccination,29016.0,Yes,98.39,2409.0,3.99,14586.0,0.9,69.1 +79657,Argentina,2006,Tuberculosis,Genetic,9.14,7.55,0.96,61+,Male,403580,75.79,0.64,1.5,Surgery,9807.0,No,72.61,3569.0,4.08,54393.0,0.75,35.2 +79663,Italy,2015,Leprosy,Viral,11.81,6.68,5.08,36-60,Male,320526,83.34,3.25,5.41,Medication,21572.0,Yes,90.37,439.0,5.56,12655.0,0.8,80.17 +79671,Nigeria,2003,Asthma,Bacterial,11.49,8.34,4.04,36-60,Other,593062,64.74,4.11,2.89,Surgery,31268.0,No,88.1,4512.0,9.56,3124.0,0.54,62.19 +79674,Turkey,2017,HIV/AIDS,Respiratory,15.94,14.61,0.92,19-35,Other,824798,64.9,2.36,3.34,Therapy,17825.0,No,53.34,1336.0,1.36,12635.0,0.47,68.26 +79675,Germany,2021,COVID-19,Metabolic,15.62,8.33,9.0,0-18,Male,559596,71.61,3.44,8.9,Medication,34445.0,Yes,96.5,3982.0,8.0,52032.0,0.75,53.21 +79680,Japan,2014,Dengue,Metabolic,11.75,7.62,1.72,19-35,Male,3300,62.15,1.8,9.41,Vaccination,27186.0,Yes,97.95,1922.0,0.4,12866.0,0.66,59.91 +79681,South Africa,2020,Asthma,Autoimmune,4.11,9.53,8.06,61+,Other,706260,89.22,2.11,0.69,Surgery,4630.0,No,93.57,3009.0,4.46,32021.0,0.68,48.67 +79686,China,2014,Hypertension,Infectious,9.61,5.0,0.98,19-35,Female,646430,66.66,4.88,4.98,Therapy,3653.0,No,90.13,4577.0,2.87,7110.0,0.83,82.88 +79687,South Africa,2013,Polio,Metabolic,9.48,9.64,1.22,0-18,Female,224711,86.6,1.98,7.35,Vaccination,1681.0,Yes,81.7,24.0,9.16,73982.0,0.65,29.67 +79689,Australia,2001,Rabies,Autoimmune,11.17,5.6,0.52,61+,Other,46400,77.1,4.19,8.09,Surgery,18232.0,Yes,60.22,1140.0,0.83,73406.0,0.55,43.71 +79694,Australia,2004,HIV/AIDS,Chronic,15.51,6.59,4.84,19-35,Female,580852,53.14,4.31,5.19,Therapy,30267.0,Yes,61.95,4171.0,8.38,3592.0,0.52,43.33 +79698,USA,2022,Rabies,Chronic,17.28,7.45,0.76,36-60,Female,790029,79.23,0.62,4.68,Surgery,31397.0,No,58.7,4485.0,9.79,24641.0,0.87,33.62 +79700,China,2010,Diabetes,Metabolic,5.43,8.19,6.6,19-35,Other,211836,96.65,3.47,9.89,Surgery,40282.0,Yes,79.2,1398.0,5.81,71178.0,0.49,64.68 +79705,Germany,2003,Leprosy,Parasitic,13.11,0.64,8.25,19-35,Male,536541,84.27,2.36,1.78,Therapy,393.0,No,61.83,4745.0,9.76,67271.0,0.66,82.42 +79706,Australia,2014,Diabetes,Bacterial,0.26,0.86,0.29,61+,Female,220440,60.39,1.81,5.02,Vaccination,16582.0,Yes,75.2,3387.0,8.54,4172.0,0.81,43.23 +79708,India,2003,Hepatitis,Autoimmune,5.78,8.63,0.91,61+,Other,87385,87.91,4.79,1.25,Medication,46307.0,Yes,65.71,2798.0,3.69,93291.0,0.74,48.97 +79712,Nigeria,2024,Hypertension,Genetic,6.28,2.38,1.56,36-60,Male,108967,54.1,2.51,5.34,Medication,42286.0,Yes,78.97,454.0,7.65,47300.0,0.86,49.87 +79715,Brazil,2021,Cancer,Neurological,14.74,9.47,3.37,0-18,Other,502836,52.43,4.44,4.36,Therapy,31045.0,No,95.69,4731.0,1.28,81385.0,0.6,60.93 +79717,Canada,2006,Dengue,Autoimmune,6.01,4.99,6.74,19-35,Female,571574,83.03,1.91,1.18,Therapy,26243.0,Yes,95.99,1442.0,5.14,92256.0,0.47,43.7 +79725,South Africa,2023,Measles,Metabolic,19.09,13.16,9.93,36-60,Female,332816,96.16,2.71,1.31,Vaccination,10000.0,Yes,91.6,4533.0,9.46,32196.0,0.49,31.76 +79728,Mexico,2004,Hepatitis,Parasitic,1.24,5.38,1.89,36-60,Female,33680,75.27,1.1,2.57,Therapy,23642.0,Yes,80.15,2540.0,0.6,55269.0,0.87,27.55 +79742,South Africa,2018,Dengue,Infectious,9.33,2.85,4.11,36-60,Female,161029,97.34,1.69,9.46,Therapy,33729.0,Yes,57.18,3902.0,6.73,73036.0,0.56,33.98 +79748,France,2018,Zika,Genetic,16.06,7.63,3.44,36-60,Other,509225,64.05,1.97,5.28,Surgery,38172.0,No,85.65,4018.0,0.41,78963.0,0.47,47.54 +79758,Russia,2016,Alzheimer's Disease,Respiratory,17.57,7.96,8.75,36-60,Male,469731,93.17,2.75,2.16,Vaccination,44757.0,No,82.67,2749.0,1.16,77338.0,0.56,41.81 +79764,India,2019,Ebola,Genetic,4.17,14.02,2.74,0-18,Male,832010,57.74,3.84,4.67,Medication,19600.0,Yes,79.36,1483.0,3.63,74482.0,0.71,28.99 +79767,Japan,2017,Zika,Viral,16.87,0.64,1.36,36-60,Male,662521,72.27,3.82,8.51,Surgery,48249.0,Yes,61.66,1752.0,6.58,69761.0,0.89,47.19 +79771,Indonesia,2022,Influenza,Neurological,9.47,10.84,6.48,0-18,Male,716061,70.76,4.54,9.26,Therapy,25249.0,No,60.66,1225.0,3.38,34147.0,0.47,76.18 +79779,Russia,2000,Ebola,Genetic,2.69,4.59,6.14,36-60,Female,196201,96.41,0.91,8.88,Medication,41191.0,No,81.67,3427.0,1.92,60669.0,0.68,38.99 +79781,Turkey,2000,Hepatitis,Genetic,12.92,0.57,3.46,36-60,Female,989183,89.27,4.4,9.33,Vaccination,40384.0,No,65.05,154.0,0.61,72783.0,0.8,22.0 +79782,UK,2011,Tuberculosis,Viral,7.47,8.51,9.72,19-35,Other,277771,54.53,4.39,9.67,Surgery,40070.0,No,72.28,692.0,2.03,84117.0,0.54,39.45 +79784,India,2018,Ebola,Cardiovascular,15.47,8.38,0.98,36-60,Male,321294,52.31,1.57,2.67,Vaccination,24753.0,Yes,71.93,4033.0,6.32,54509.0,0.53,62.25 +79786,Australia,2013,Hepatitis,Parasitic,10.93,0.84,5.92,0-18,Other,279231,58.0,4.13,0.78,Vaccination,2319.0,No,83.92,3260.0,7.08,48228.0,0.51,20.61 +79787,USA,2014,Hypertension,Metabolic,13.3,5.82,2.82,36-60,Male,978049,58.21,2.34,6.02,Therapy,42018.0,No,81.54,4074.0,3.59,23238.0,0.51,39.27 +79790,South Africa,2020,Rabies,Autoimmune,7.85,9.56,4.35,36-60,Other,709706,70.06,1.2,1.99,Surgery,23639.0,Yes,66.31,1391.0,5.62,78520.0,0.74,77.73 +79797,Japan,2022,Parkinson's Disease,Bacterial,2.8,3.66,7.98,19-35,Male,403444,54.65,4.15,7.55,Vaccination,41110.0,Yes,54.09,2767.0,5.69,31943.0,0.86,62.05 +79812,USA,2004,Hepatitis,Respiratory,8.8,3.01,0.83,61+,Other,515052,91.72,0.84,8.75,Surgery,4778.0,Yes,83.19,4775.0,4.82,24421.0,0.56,81.7 +79813,Nigeria,2010,Rabies,Bacterial,17.91,7.81,3.72,19-35,Female,856387,65.03,2.77,2.48,Therapy,12658.0,Yes,82.83,1649.0,9.2,37553.0,0.53,21.83 +79814,USA,2003,Hepatitis,Autoimmune,11.92,1.42,5.94,0-18,Other,97630,99.65,3.05,9.95,Surgery,3199.0,Yes,77.17,3288.0,5.66,13555.0,0.67,40.94 +79820,France,2003,Zika,Infectious,18.49,0.13,8.57,0-18,Male,566909,73.26,3.19,4.68,Vaccination,43206.0,Yes,86.89,3399.0,4.47,32396.0,0.88,42.68 +79832,Nigeria,2004,Malaria,Respiratory,17.19,10.88,9.65,61+,Other,519766,67.38,3.58,4.91,Therapy,8075.0,No,56.01,1689.0,1.1,23958.0,0.52,26.76 +79839,France,2020,Dengue,Metabolic,4.04,6.86,2.82,0-18,Male,140069,51.41,1.26,4.23,Surgery,1283.0,Yes,91.27,4365.0,9.33,54381.0,0.87,46.35 +79841,Indonesia,2024,Cancer,Autoimmune,0.67,3.66,2.94,61+,Female,413148,94.0,4.6,6.57,Therapy,5752.0,Yes,96.4,3819.0,2.03,59355.0,0.74,22.04 +79842,South Korea,2012,Hypertension,Infectious,3.99,4.47,2.37,61+,Female,875215,50.66,4.93,3.26,Surgery,42872.0,Yes,90.44,959.0,9.05,76890.0,0.54,56.59 +79851,Turkey,2006,Leprosy,Chronic,14.97,14.2,6.01,61+,Other,252352,54.06,0.6,5.09,Therapy,47520.0,Yes,63.55,3000.0,5.68,42061.0,0.55,27.86 +79854,France,2002,Diabetes,Metabolic,15.52,14.95,9.2,19-35,Male,885658,61.08,1.36,9.18,Surgery,14142.0,Yes,64.33,4734.0,7.2,74370.0,0.64,21.65 +79863,Japan,2021,Diabetes,Bacterial,0.43,10.77,0.34,61+,Female,912394,54.74,2.69,4.24,Medication,44000.0,Yes,74.12,1733.0,3.65,3295.0,0.7,58.61 +79871,Mexico,2001,Rabies,Neurological,14.86,9.31,8.71,19-35,Other,900037,51.18,3.68,6.35,Medication,38971.0,No,73.07,45.0,2.11,89635.0,0.43,81.7 +79879,China,2010,Polio,Viral,12.64,11.13,2.13,0-18,Male,54398,74.11,3.81,4.39,Therapy,10689.0,No,78.85,4711.0,1.54,70479.0,0.9,35.31 +79899,Canada,2012,Rabies,Chronic,12.93,6.44,3.76,61+,Female,923118,57.56,4.7,6.22,Medication,12437.0,Yes,57.96,2487.0,1.51,11244.0,0.69,87.49 +79902,Mexico,2007,Cancer,Parasitic,17.78,4.82,9.84,0-18,Female,827644,78.61,1.81,8.5,Therapy,42214.0,No,82.56,4546.0,8.44,31500.0,0.81,23.89 +79903,South Korea,2017,Alzheimer's Disease,Infectious,6.57,7.76,3.37,61+,Other,407489,90.47,3.78,3.71,Therapy,1948.0,Yes,75.53,2820.0,8.12,17724.0,0.87,33.68 +79906,Brazil,2015,Leprosy,Parasitic,5.6,14.0,8.61,61+,Other,217808,78.89,1.24,6.85,Therapy,27472.0,No,89.36,456.0,8.58,73139.0,0.5,51.7 +79908,Italy,2017,Diabetes,Genetic,1.98,2.65,3.68,36-60,Female,414718,90.7,1.74,3.19,Surgery,28273.0,No,84.82,3670.0,8.01,17110.0,0.84,35.02 +79910,South Korea,2007,Alzheimer's Disease,Cardiovascular,9.37,8.85,0.98,0-18,Male,521663,86.03,2.82,2.25,Medication,39764.0,Yes,80.24,1987.0,3.38,15449.0,0.85,51.73 +79911,Mexico,2000,Hypertension,Parasitic,13.72,7.9,9.29,19-35,Male,865858,66.4,4.16,1.89,Vaccination,13205.0,Yes,51.49,2087.0,6.0,3105.0,0.56,22.43 +79914,Canada,2002,Dengue,Parasitic,16.06,6.02,7.14,19-35,Male,622454,74.22,3.62,4.61,Vaccination,8204.0,Yes,69.77,4594.0,7.61,51382.0,0.74,67.39 +79918,Saudi Arabia,2010,Influenza,Parasitic,1.32,9.9,4.12,36-60,Female,722436,52.88,2.54,0.57,Surgery,41644.0,Yes,85.16,4822.0,2.52,1263.0,0.5,24.58 +79931,Saudi Arabia,2020,Dengue,Metabolic,15.02,4.5,7.92,61+,Female,842914,61.01,2.48,0.51,Therapy,13315.0,No,74.73,1767.0,7.73,11292.0,0.81,41.84 +79933,Japan,2018,Hypertension,Bacterial,14.55,5.16,1.68,19-35,Male,183280,75.55,3.08,8.69,Vaccination,23900.0,No,68.18,2490.0,8.59,86799.0,0.47,21.15 +79934,USA,2012,Tuberculosis,Metabolic,17.37,5.19,2.03,19-35,Female,315672,60.94,1.99,4.75,Therapy,15317.0,Yes,53.68,2253.0,3.18,94142.0,0.45,52.92 +79935,Japan,2009,Zika,Viral,6.91,8.01,5.99,61+,Male,139418,68.5,3.1,1.71,Therapy,24434.0,No,93.49,3649.0,7.4,67940.0,0.59,66.54 +79936,Canada,2019,Rabies,Chronic,16.85,13.43,9.34,61+,Male,334636,75.52,1.41,5.7,Medication,8801.0,Yes,55.8,1915.0,4.46,86716.0,0.89,41.16 +79942,Italy,2014,Tuberculosis,Metabolic,13.95,12.51,1.74,36-60,Male,452067,69.33,1.12,9.39,Therapy,39273.0,Yes,97.92,1320.0,8.25,74461.0,0.58,76.35 +79946,Brazil,2020,Rabies,Genetic,6.39,7.98,8.77,19-35,Male,910655,86.14,1.37,3.01,Surgery,24809.0,No,93.25,767.0,3.13,88026.0,0.74,75.01 +79949,Argentina,2002,Dengue,Parasitic,16.41,6.19,8.99,19-35,Male,891866,87.77,4.7,9.69,Medication,6045.0,No,76.55,3324.0,2.17,34740.0,0.46,58.34 +79952,USA,2021,Alzheimer's Disease,Genetic,5.81,11.21,2.65,61+,Female,480203,75.8,1.27,8.37,Therapy,7204.0,Yes,79.86,4631.0,1.56,2437.0,0.66,36.9 +79959,France,2017,Alzheimer's Disease,Respiratory,9.43,13.93,9.84,36-60,Male,326487,62.6,1.64,2.3,Surgery,11510.0,No,94.72,4796.0,4.62,35216.0,0.82,54.54 +79964,Italy,2003,Influenza,Respiratory,8.12,3.11,9.95,0-18,Male,589921,60.69,2.78,2.75,Surgery,48622.0,Yes,94.52,26.0,7.59,72131.0,0.64,22.94 +79966,Turkey,2014,COVID-19,Viral,4.08,8.55,4.01,0-18,Male,840984,94.32,4.15,8.9,Surgery,23211.0,Yes,92.79,3088.0,7.52,95152.0,0.74,56.56 +79976,South Korea,2019,Leprosy,Viral,0.88,14.64,1.0,61+,Other,844314,68.29,1.2,2.9,Vaccination,25238.0,Yes,57.2,4645.0,1.85,57704.0,0.79,88.73 +79979,South Korea,2005,Parkinson's Disease,Viral,9.6,11.18,1.89,61+,Male,452471,88.78,2.02,2.51,Vaccination,47725.0,Yes,60.8,3644.0,0.5,24405.0,0.47,22.15 +79982,South Africa,2010,Hepatitis,Bacterial,0.19,13.25,6.52,61+,Female,768756,86.62,1.98,7.12,Medication,28753.0,No,86.16,1618.0,4.62,37876.0,0.53,59.46 +79984,Saudi Arabia,2017,Malaria,Autoimmune,16.0,7.0,6.24,19-35,Other,630667,68.29,0.74,7.21,Surgery,43451.0,Yes,90.71,198.0,3.95,43374.0,0.66,54.43 +79988,China,2007,Ebola,Chronic,4.91,9.66,9.98,0-18,Female,654179,86.4,3.02,6.9,Vaccination,12739.0,Yes,71.19,4171.0,2.05,46186.0,0.56,23.66 +79994,UK,2003,Cholera,Infectious,9.25,5.58,2.15,0-18,Other,550176,66.22,3.36,1.58,Vaccination,15572.0,Yes,63.62,3140.0,7.5,52516.0,0.61,76.23 +79996,Saudi Arabia,2020,Leprosy,Autoimmune,19.39,5.2,3.09,0-18,Other,327057,98.38,3.6,0.66,Medication,44464.0,No,82.68,3873.0,9.37,65821.0,0.45,29.84 +79998,China,2024,Hepatitis,Chronic,10.19,5.7,9.61,61+,Male,693909,56.37,0.81,6.13,Surgery,32899.0,No,61.23,3465.0,5.62,27048.0,0.71,76.17 +79999,Italy,2012,Cancer,Parasitic,10.92,13.92,1.86,61+,Other,36511,92.64,0.79,5.38,Surgery,28039.0,No,59.32,536.0,1.49,55988.0,0.44,83.69 +80004,Italy,2004,Asthma,Neurological,19.37,12.26,2.65,36-60,Female,572041,89.97,3.11,7.1,Vaccination,18763.0,Yes,81.7,1335.0,5.72,78298.0,0.41,38.49 +80005,Nigeria,2018,Zika,Metabolic,11.35,6.5,9.93,0-18,Male,907727,53.78,4.26,9.35,Therapy,5805.0,No,56.77,1250.0,9.29,2998.0,0.76,47.52 +80013,UK,2007,Rabies,Metabolic,9.66,14.91,7.01,61+,Male,729120,51.17,2.29,2.14,Surgery,33741.0,Yes,88.03,4123.0,5.25,91091.0,0.72,59.29 +80020,South Africa,2013,Zika,Genetic,8.3,9.25,8.35,36-60,Other,860643,59.61,0.53,6.62,Vaccination,482.0,No,80.89,217.0,9.17,43553.0,0.55,44.64 +80023,China,2023,Leprosy,Autoimmune,10.81,7.42,4.38,36-60,Male,312102,51.14,0.86,8.0,Vaccination,5730.0,No,65.12,1397.0,1.71,2612.0,0.66,56.03 +80036,Brazil,2013,Influenza,Metabolic,14.94,8.59,2.97,0-18,Female,227759,55.85,3.2,9.9,Vaccination,19004.0,Yes,72.77,14.0,0.27,41947.0,0.77,31.86 +80042,Australia,2016,Zika,Respiratory,8.76,4.87,2.07,19-35,Female,479863,86.4,2.55,9.67,Vaccination,13915.0,Yes,93.23,2634.0,8.93,97017.0,0.77,77.13 +80046,UK,2011,Hepatitis,Viral,16.56,5.36,4.7,36-60,Female,502753,93.46,1.73,2.09,Therapy,33939.0,No,61.19,3208.0,7.17,56627.0,0.75,81.93 +80061,China,2006,Asthma,Respiratory,0.66,2.98,5.44,0-18,Other,445774,85.12,1.08,5.13,Therapy,7399.0,No,55.48,813.0,4.49,94023.0,0.49,28.92 +80062,Mexico,2018,Hepatitis,Cardiovascular,1.55,0.47,0.91,0-18,Other,205422,51.78,2.68,7.15,Medication,8948.0,Yes,66.0,3008.0,6.88,58060.0,0.55,32.9 +80078,Argentina,2019,Influenza,Autoimmune,5.75,11.99,7.68,0-18,Male,114408,67.56,1.36,1.75,Therapy,19959.0,No,65.64,3464.0,1.46,52658.0,0.55,58.28 +80079,India,2024,Parkinson's Disease,Autoimmune,7.71,9.35,4.29,0-18,Male,959736,81.93,3.71,3.7,Surgery,45196.0,Yes,72.72,3265.0,8.03,26312.0,0.43,71.52 +80080,Indonesia,2021,Parkinson's Disease,Respiratory,8.35,13.76,8.49,0-18,Male,566914,51.79,3.35,5.84,Surgery,40477.0,Yes,82.94,1890.0,8.44,58734.0,0.67,35.59 +80082,Saudi Arabia,2020,Ebola,Viral,19.07,8.75,1.64,36-60,Female,731049,65.08,3.85,7.49,Medication,13432.0,No,70.66,1173.0,1.54,61676.0,0.43,60.07 +80086,UK,2018,COVID-19,Metabolic,19.1,10.64,9.52,36-60,Male,893262,99.8,0.58,9.31,Surgery,23711.0,Yes,57.18,3502.0,4.22,43808.0,0.83,87.6 +80089,Saudi Arabia,2011,Polio,Cardiovascular,2.77,4.65,0.91,61+,Female,353339,69.03,1.41,7.88,Surgery,9301.0,No,53.76,1526.0,3.31,10380.0,0.65,31.27 +80092,Mexico,2010,Polio,Metabolic,3.95,5.38,1.18,0-18,Male,811905,99.96,4.2,9.22,Therapy,22789.0,No,94.73,4178.0,7.68,99781.0,0.62,24.39 +80096,Saudi Arabia,2009,Zika,Parasitic,17.95,8.65,9.3,0-18,Other,710435,56.78,4.7,4.64,Surgery,5462.0,Yes,97.77,184.0,7.77,15478.0,0.75,86.89 +80105,Germany,2010,Measles,Genetic,8.07,6.61,6.45,19-35,Male,568930,77.48,3.36,7.89,Therapy,40442.0,No,64.39,975.0,9.18,61123.0,0.56,50.53 +80109,China,2017,Hepatitis,Cardiovascular,15.3,10.93,9.83,36-60,Other,79876,72.19,3.48,9.58,Vaccination,5919.0,No,71.54,1310.0,2.73,51038.0,0.41,25.96 +80110,China,2003,COVID-19,Neurological,15.39,3.11,0.71,36-60,Other,502221,71.04,4.38,4.79,Therapy,48779.0,No,82.34,4602.0,1.56,90612.0,0.73,85.96 +80115,Japan,2014,HIV/AIDS,Viral,13.64,11.43,2.73,36-60,Other,687902,86.35,0.66,4.22,Surgery,34056.0,No,87.25,2724.0,5.26,48248.0,0.5,80.74 +80118,Germany,2015,Hypertension,Neurological,17.51,14.26,9.87,36-60,Male,740819,81.58,2.27,2.55,Medication,19122.0,No,95.74,297.0,6.99,9108.0,0.8,20.37 +80120,USA,2001,Cholera,Chronic,5.8,11.78,1.79,36-60,Other,538047,97.64,4.68,7.27,Surgery,49691.0,No,61.39,10.0,3.38,86333.0,0.52,53.23 +80123,USA,2017,Polio,Autoimmune,10.06,6.25,8.45,0-18,Female,572449,87.37,2.34,8.14,Vaccination,35004.0,No,91.67,625.0,0.01,81493.0,0.45,49.69 +80125,USA,2017,Hypertension,Cardiovascular,8.72,13.51,9.52,0-18,Male,440344,65.91,2.17,2.56,Surgery,35716.0,No,55.45,1426.0,5.09,48056.0,0.56,47.52 +80128,Indonesia,2006,Hepatitis,Genetic,1.7,9.96,3.35,36-60,Female,186427,96.77,4.05,1.0,Surgery,7276.0,No,86.47,3188.0,9.64,15275.0,0.86,79.99 +80131,South Korea,2009,Hepatitis,Bacterial,9.64,5.34,8.9,36-60,Male,868178,84.67,3.39,2.31,Therapy,42635.0,No,50.34,4432.0,6.84,75906.0,0.42,84.02 +80132,Japan,2018,Hepatitis,Autoimmune,16.04,7.59,1.47,61+,Female,766409,80.28,3.52,4.45,Therapy,28701.0,Yes,89.27,3042.0,0.84,82499.0,0.78,48.5 +80135,Canada,2021,Hypertension,Neurological,0.54,12.8,6.8,36-60,Female,127784,60.47,3.34,0.71,Vaccination,24180.0,No,97.37,4237.0,3.53,41240.0,0.6,43.8 +80146,Indonesia,2001,Zika,Neurological,5.02,2.65,2.85,19-35,Other,223465,79.68,3.81,7.83,Medication,26210.0,No,75.38,603.0,0.92,12873.0,0.66,87.44 +80149,Indonesia,2003,Influenza,Genetic,15.25,5.2,5.67,19-35,Other,707901,78.55,3.39,3.48,Therapy,22859.0,Yes,56.15,3499.0,1.36,50785.0,0.56,56.75 +80159,Russia,2022,HIV/AIDS,Viral,6.18,11.08,0.43,0-18,Other,895209,86.17,1.01,2.77,Therapy,44415.0,No,66.75,3524.0,9.43,97991.0,0.78,49.07 +80161,Japan,2024,Rabies,Respiratory,5.53,1.74,0.25,19-35,Other,312803,85.96,4.31,1.14,Medication,4916.0,Yes,88.6,1012.0,5.51,89543.0,0.68,62.62 +80167,South Korea,2004,Diabetes,Neurological,19.2,5.83,3.09,0-18,Female,230239,51.71,0.67,7.84,Vaccination,22351.0,Yes,75.1,346.0,8.76,62641.0,0.5,33.58 +80169,Australia,2004,Rabies,Genetic,0.34,5.68,6.72,61+,Other,696953,79.67,3.6,6.86,Vaccination,21972.0,No,65.97,4927.0,0.17,82399.0,0.84,62.17 +80170,Saudi Arabia,2023,Asthma,Bacterial,9.78,7.1,6.6,61+,Other,263611,86.96,2.41,9.18,Surgery,42356.0,No,56.26,1789.0,9.3,39983.0,0.81,30.45 +80186,Japan,2010,Asthma,Respiratory,17.23,6.31,2.16,61+,Other,446075,54.21,4.36,9.59,Vaccination,17128.0,Yes,54.67,4912.0,6.69,29191.0,0.61,48.93 +80190,UK,2022,Malaria,Genetic,18.74,1.26,1.0,0-18,Other,439031,66.52,1.37,4.54,Therapy,32490.0,Yes,92.7,3199.0,2.93,29279.0,0.64,20.83 +80192,Australia,2021,Cancer,Neurological,3.45,3.76,3.39,0-18,Female,658675,51.63,1.49,6.42,Surgery,139.0,No,51.53,3285.0,9.24,35804.0,0.72,76.63 +80202,Mexico,2019,Hypertension,Cardiovascular,18.75,8.53,9.69,36-60,Other,246627,70.53,2.41,7.82,Medication,35108.0,Yes,84.92,3890.0,5.89,31847.0,0.78,24.54 +80203,Turkey,2007,Cancer,Infectious,2.3,2.68,5.14,0-18,Female,606223,69.17,1.11,4.62,Surgery,10540.0,Yes,95.59,1305.0,9.39,78052.0,0.47,40.77 +80224,Brazil,2008,Malaria,Neurological,19.79,10.06,8.21,36-60,Male,364509,95.2,0.91,9.15,Vaccination,14692.0,Yes,52.14,2011.0,5.07,42107.0,0.43,43.07 +80232,Italy,2006,Cholera,Autoimmune,16.95,3.75,3.82,19-35,Other,342562,86.89,1.41,7.5,Surgery,30539.0,No,75.26,4520.0,7.03,67541.0,0.85,21.26 +80243,Brazil,2010,Leprosy,Genetic,18.64,12.42,3.64,19-35,Female,980102,53.44,2.05,5.47,Therapy,17267.0,No,61.38,1138.0,4.1,46111.0,0.59,37.24 +80246,India,2015,Zika,Respiratory,10.05,12.94,8.48,0-18,Other,667649,71.18,1.05,7.17,Therapy,28260.0,No,83.51,2800.0,8.16,82350.0,0.49,51.16 +80248,Saudi Arabia,2006,Ebola,Neurological,10.52,13.29,0.76,36-60,Female,688058,96.03,1.8,4.84,Medication,48379.0,Yes,63.5,4057.0,6.62,56627.0,0.75,81.67 +80255,South Korea,2000,Asthma,Parasitic,14.59,1.16,9.57,36-60,Female,407663,84.28,2.57,4.42,Therapy,7224.0,No,64.25,4223.0,1.22,34099.0,0.56,73.45 +80285,South Korea,2002,Diabetes,Autoimmune,14.66,2.19,2.76,61+,Female,683589,58.08,2.07,9.96,Vaccination,9842.0,Yes,51.53,4097.0,9.62,14795.0,0.61,21.87 +80286,Canada,2013,Zika,Viral,10.52,14.78,0.57,36-60,Female,55558,85.87,2.75,7.61,Vaccination,11650.0,No,90.16,4133.0,8.5,8089.0,0.67,87.16 +80287,Japan,2014,Leprosy,Bacterial,1.66,3.14,1.49,0-18,Other,272613,80.89,3.02,7.28,Therapy,40278.0,No,79.5,2922.0,0.44,95523.0,0.8,53.98 +80292,Brazil,2019,HIV/AIDS,Infectious,15.09,1.2,4.83,19-35,Other,984839,93.95,1.44,3.31,Medication,27316.0,Yes,70.49,1341.0,4.17,18793.0,0.7,28.17 +80294,Russia,2000,Measles,Infectious,17.75,4.48,3.98,0-18,Other,250120,87.95,3.31,1.33,Medication,176.0,Yes,81.17,50.0,8.04,28016.0,0.42,71.02 +80315,France,2012,Rabies,Respiratory,13.62,1.76,0.32,19-35,Other,191054,78.34,3.42,4.29,Vaccination,715.0,Yes,90.69,1369.0,7.29,45906.0,0.82,22.43 +80317,India,2000,Asthma,Genetic,12.88,7.09,5.76,36-60,Male,401283,92.52,1.13,2.15,Vaccination,35084.0,Yes,56.04,3041.0,7.65,46208.0,0.41,36.86 +80318,Saudi Arabia,2010,Polio,Infectious,11.12,7.22,5.98,0-18,Male,969062,56.23,1.37,3.13,Vaccination,12530.0,No,57.97,3526.0,8.79,38792.0,0.62,78.46 +80326,France,2009,Ebola,Genetic,0.48,5.67,4.72,0-18,Female,75143,88.19,1.48,3.19,Surgery,4352.0,No,75.58,4789.0,5.41,40985.0,0.8,85.4 +80333,Italy,2014,Diabetes,Chronic,14.02,12.07,7.24,19-35,Male,382254,55.49,3.13,7.5,Vaccination,44258.0,Yes,98.41,3249.0,7.66,52749.0,0.75,23.08 +80337,Nigeria,2003,Ebola,Viral,18.01,14.33,8.54,36-60,Female,752375,59.75,4.7,3.05,Therapy,21078.0,No,70.65,4309.0,9.65,48022.0,0.45,30.31 +80343,India,2024,Hepatitis,Autoimmune,3.37,10.88,1.39,61+,Other,19555,62.74,3.77,1.15,Medication,39192.0,No,74.32,2065.0,6.24,93076.0,0.57,23.1 +80351,Saudi Arabia,2010,Cancer,Viral,2.0,5.76,0.57,61+,Female,415691,70.83,4.22,6.12,Vaccination,26931.0,No,82.29,3387.0,5.09,33017.0,0.69,72.67 +80370,South Korea,2003,Cancer,Respiratory,9.3,14.72,9.5,61+,Female,810792,82.83,4.92,9.42,Therapy,45623.0,No,78.74,197.0,4.1,64996.0,0.48,59.28 +80376,South Korea,2020,Polio,Infectious,15.03,3.79,8.69,19-35,Other,870848,79.81,1.05,7.66,Surgery,6882.0,No,62.58,936.0,2.94,76192.0,0.79,27.95 +80392,UK,2019,HIV/AIDS,Genetic,13.34,9.36,7.63,61+,Female,29123,69.6,0.83,4.57,Therapy,37992.0,No,55.26,4355.0,6.09,93460.0,0.57,28.7 +80399,South Africa,2015,Polio,Neurological,14.11,4.03,8.24,19-35,Male,398296,88.85,0.72,3.3,Therapy,27896.0,Yes,79.49,1500.0,4.05,35499.0,0.55,22.16 +80402,Japan,2015,Diabetes,Autoimmune,5.03,14.33,9.11,61+,Other,540037,68.6,3.96,7.02,Medication,25408.0,No,70.29,4642.0,0.65,27987.0,0.74,25.86 +80405,Turkey,2013,Dengue,Autoimmune,14.58,7.11,9.02,61+,Male,387096,68.77,3.05,9.01,Therapy,43352.0,Yes,93.17,359.0,4.53,87257.0,0.4,48.25 +80407,Turkey,2013,Dengue,Parasitic,15.15,8.29,9.28,0-18,Other,335570,75.08,3.86,2.39,Vaccination,16869.0,Yes,84.5,4872.0,8.35,30202.0,0.83,53.03 +80416,Saudi Arabia,2008,COVID-19,Neurological,4.52,1.13,7.33,61+,Other,63173,58.25,2.58,6.11,Medication,42865.0,No,84.01,4060.0,8.1,96745.0,0.62,68.5 +80424,Australia,2004,Asthma,Chronic,2.87,9.38,6.55,19-35,Male,372057,88.54,0.9,8.2,Therapy,9698.0,No,70.56,1647.0,6.27,42285.0,0.62,70.77 +80428,Italy,2016,Polio,Viral,11.48,5.94,3.31,36-60,Male,36288,77.39,2.08,8.79,Surgery,37497.0,No,52.43,3769.0,7.48,18064.0,0.85,35.22 +80434,South Africa,2022,Asthma,Genetic,16.65,6.4,0.52,0-18,Other,324181,72.27,3.26,1.24,Surgery,43937.0,No,72.17,4880.0,9.13,82362.0,0.8,48.98 +80445,Nigeria,2005,Influenza,Genetic,18.94,3.71,5.98,0-18,Female,960134,85.56,1.93,5.04,Surgery,31060.0,Yes,77.56,4403.0,7.08,99348.0,0.54,25.7 +80455,Australia,2003,Diabetes,Viral,6.16,3.47,6.46,19-35,Female,955366,64.33,3.8,1.95,Therapy,5098.0,No,69.12,2537.0,7.03,51007.0,0.87,61.05 +80460,Canada,2022,Malaria,Cardiovascular,13.21,4.46,3.36,61+,Female,911339,78.69,4.85,8.5,Vaccination,31488.0,Yes,77.33,2253.0,1.63,69159.0,0.85,40.93 +80462,China,2014,Measles,Infectious,0.85,12.04,9.49,0-18,Male,697903,55.97,4.84,5.76,Surgery,16676.0,Yes,67.53,575.0,1.57,66929.0,0.8,71.48 +80472,Brazil,2002,Cancer,Autoimmune,0.19,8.2,2.34,0-18,Female,452486,98.42,3.38,6.0,Vaccination,41074.0,Yes,91.69,3944.0,4.27,66533.0,0.66,38.23 +80481,China,2007,Measles,Bacterial,4.68,9.31,0.18,0-18,Female,413957,66.37,2.31,2.25,Medication,28198.0,Yes,56.95,701.0,5.1,90377.0,0.86,41.86 +80482,UK,2009,Asthma,Genetic,2.89,2.54,1.16,19-35,Male,492115,73.75,3.34,7.37,Vaccination,33194.0,Yes,94.71,3082.0,6.68,54106.0,0.83,49.74 +80484,Turkey,2007,Rabies,Bacterial,0.65,2.22,3.0,19-35,Male,567933,70.58,2.8,8.89,Surgery,43450.0,No,56.06,3168.0,3.41,63822.0,0.79,28.22 +80486,France,2005,Ebola,Autoimmune,16.34,10.72,0.71,61+,Other,639959,95.79,2.31,7.24,Vaccination,48368.0,No,93.41,1910.0,3.42,76907.0,0.45,82.92 +80493,Japan,2022,Cholera,Autoimmune,9.26,1.96,5.49,0-18,Male,751791,94.76,4.07,5.02,Medication,9157.0,No,56.98,350.0,4.89,30487.0,0.47,65.37 +80496,France,2003,Rabies,Cardiovascular,2.37,11.63,0.61,0-18,Female,398413,58.61,1.59,0.79,Medication,34456.0,Yes,51.29,2422.0,3.15,39304.0,0.82,64.99 +80499,Germany,2004,COVID-19,Parasitic,14.32,8.71,6.33,0-18,Male,143661,88.22,2.62,8.75,Medication,7287.0,No,80.82,1255.0,3.63,60849.0,0.55,82.56 +80504,France,2001,Parkinson's Disease,Chronic,9.5,12.53,1.19,0-18,Female,321874,82.58,3.47,6.23,Medication,33420.0,No,83.32,421.0,5.69,12319.0,0.79,24.95 +80509,Indonesia,2001,Cholera,Chronic,1.78,6.14,3.89,61+,Other,815928,69.51,0.62,1.67,Surgery,7139.0,Yes,83.56,1108.0,9.22,40904.0,0.8,52.49 +80514,China,2010,COVID-19,Viral,8.19,4.58,7.3,36-60,Female,143555,54.01,3.1,7.6,Surgery,12567.0,Yes,57.21,556.0,2.93,74414.0,0.42,41.18 +80531,Indonesia,2006,Cancer,Bacterial,8.81,1.57,8.74,36-60,Female,131346,54.7,2.91,6.89,Therapy,26355.0,No,95.51,4683.0,7.1,61097.0,0.61,58.03 +80543,Argentina,2015,Parkinson's Disease,Viral,18.54,9.28,2.41,61+,Male,192103,84.7,4.51,0.7,Therapy,32296.0,Yes,60.58,3026.0,4.55,88156.0,0.42,42.79 +80546,Italy,2019,Influenza,Chronic,15.13,8.92,5.44,0-18,Male,257644,67.14,2.32,1.41,Vaccination,22533.0,No,53.06,126.0,7.78,46612.0,0.82,36.62 +80549,Italy,2013,COVID-19,Metabolic,10.1,9.53,1.13,0-18,Female,36596,90.5,1.98,5.51,Therapy,27979.0,No,64.17,792.0,7.49,90270.0,0.73,78.69 +80556,Nigeria,2008,Polio,Bacterial,1.39,6.97,4.59,36-60,Other,778343,76.22,2.29,4.07,Surgery,35406.0,Yes,50.28,1958.0,7.29,13851.0,0.82,59.04 +80561,Indonesia,2002,Cancer,Cardiovascular,18.52,4.43,2.41,36-60,Male,21334,69.61,0.56,9.98,Medication,36967.0,Yes,62.78,3020.0,5.96,11836.0,0.86,29.13 +80565,Turkey,2018,Parkinson's Disease,Parasitic,9.25,0.59,9.7,19-35,Other,565578,56.54,0.65,4.24,Medication,15684.0,No,71.51,1069.0,0.41,23748.0,0.45,87.72 +80573,South Africa,2013,COVID-19,Neurological,15.73,10.59,7.03,36-60,Other,987712,97.0,2.63,6.65,Medication,26934.0,Yes,89.91,3393.0,1.32,48603.0,0.87,24.26 +80593,USA,2014,Parkinson's Disease,Bacterial,12.03,7.55,4.62,19-35,Other,92754,88.43,4.47,9.52,Therapy,43509.0,No,83.87,3879.0,2.67,45985.0,0.71,48.81 +80598,UK,2018,Influenza,Cardiovascular,8.6,1.49,9.5,0-18,Female,546416,58.66,1.6,6.58,Therapy,10621.0,Yes,65.83,1365.0,0.09,15384.0,0.4,74.67 +80601,Canada,2012,HIV/AIDS,Metabolic,0.93,6.54,1.65,0-18,Female,59506,74.75,4.07,3.81,Surgery,45988.0,No,86.75,559.0,5.74,28331.0,0.54,81.22 +80602,China,2020,Zika,Neurological,0.51,12.98,3.05,0-18,Male,249212,66.71,1.89,5.82,Medication,3780.0,Yes,82.39,2859.0,4.39,12182.0,0.66,31.83 +80609,Brazil,2006,Cholera,Parasitic,10.67,7.83,7.27,36-60,Female,842188,72.36,3.55,9.2,Therapy,31120.0,No,86.22,4242.0,0.71,54012.0,0.85,48.77 +80612,France,2012,Measles,Respiratory,17.84,2.35,3.93,0-18,Female,613790,58.72,0.59,7.11,Surgery,15940.0,Yes,98.36,3879.0,0.71,22077.0,0.54,20.24 +80614,Australia,2006,Influenza,Parasitic,4.71,12.01,5.2,0-18,Other,783265,95.46,0.8,9.82,Vaccination,17699.0,Yes,97.27,844.0,4.91,28110.0,0.89,44.15 +80615,India,2011,Ebola,Genetic,11.93,9.21,7.73,36-60,Male,561944,65.66,0.57,7.25,Medication,22230.0,No,81.62,4530.0,6.02,98607.0,0.73,25.47 +80617,Japan,2007,Influenza,Chronic,17.23,7.89,9.53,36-60,Female,221830,51.74,4.02,2.76,Therapy,13090.0,Yes,85.43,733.0,1.31,85447.0,0.73,66.91 +80625,South Africa,2020,Rabies,Genetic,19.38,5.06,3.83,61+,Female,874653,74.11,2.36,0.55,Vaccination,2625.0,No,81.45,4767.0,4.52,65102.0,0.51,23.61 +80628,Brazil,2014,Polio,Cardiovascular,7.95,6.7,0.14,36-60,Female,269021,50.0,2.5,2.91,Medication,30753.0,Yes,65.97,4644.0,9.39,24600.0,0.55,83.79 +80629,Brazil,2008,Asthma,Cardiovascular,11.24,12.65,1.22,0-18,Other,544071,91.48,3.65,9.12,Therapy,5901.0,No,95.85,3965.0,1.78,94273.0,0.65,37.9 +80633,South Korea,2011,Cancer,Genetic,7.15,11.49,6.32,61+,Female,997484,84.39,0.85,7.6,Surgery,30533.0,No,81.19,66.0,8.94,27528.0,0.85,36.25 +80643,Turkey,2019,Parkinson's Disease,Bacterial,13.34,2.81,7.02,19-35,Other,214129,73.97,4.38,4.05,Surgery,38683.0,No,82.75,815.0,5.62,43951.0,0.86,39.35 +80650,South Africa,2005,Hepatitis,Bacterial,0.69,1.89,6.08,36-60,Male,292613,91.75,4.92,8.72,Medication,41260.0,No,93.55,3817.0,2.05,84496.0,0.79,80.26 +80652,South Africa,2007,Parkinson's Disease,Cardiovascular,16.72,5.1,3.77,36-60,Male,151985,62.48,4.83,4.9,Medication,41564.0,Yes,77.97,1621.0,6.23,2718.0,0.7,58.88 +80662,Italy,2003,Alzheimer's Disease,Parasitic,13.41,10.36,3.03,0-18,Female,170072,94.27,4.81,5.5,Vaccination,11067.0,No,56.67,1175.0,3.83,39261.0,0.7,49.5 +80664,South Africa,2019,HIV/AIDS,Genetic,9.14,7.64,2.69,61+,Female,370588,75.41,0.6,9.05,Surgery,48384.0,Yes,50.61,3770.0,5.89,99496.0,0.56,83.99 +80665,Argentina,2015,Hypertension,Infectious,9.32,14.71,6.45,0-18,Female,698730,64.99,1.59,9.64,Therapy,7301.0,No,85.23,411.0,1.56,5624.0,0.49,25.66 +80671,Australia,2003,Rabies,Cardiovascular,4.81,0.84,5.47,0-18,Male,13938,50.58,2.88,3.08,Therapy,1568.0,Yes,62.44,2120.0,8.6,24836.0,0.7,76.47 +80678,UK,2020,COVID-19,Cardiovascular,18.56,7.67,1.27,19-35,Male,755939,73.38,0.64,1.41,Vaccination,43957.0,No,75.74,2612.0,4.55,41665.0,0.5,34.77 +80683,Australia,2001,Zika,Viral,15.61,5.86,1.36,0-18,Female,98810,70.88,1.63,1.82,Surgery,47288.0,Yes,78.13,416.0,8.17,97097.0,0.56,69.95 +80685,Nigeria,2004,Alzheimer's Disease,Chronic,17.17,5.56,5.69,0-18,Female,647169,69.45,3.32,3.2,Vaccination,32554.0,Yes,75.35,434.0,5.42,64889.0,0.5,85.59 +80686,Italy,2000,Asthma,Infectious,2.56,9.48,4.1,61+,Female,975143,59.53,2.74,0.6,Medication,10020.0,No,90.93,4797.0,7.5,85217.0,0.78,74.52 +80688,UK,2020,COVID-19,Cardiovascular,7.37,3.19,0.13,61+,Male,490265,87.07,4.27,9.55,Surgery,35983.0,Yes,85.12,2926.0,9.32,47439.0,0.61,74.27 +80692,France,2020,Malaria,Chronic,5.2,0.77,9.53,19-35,Other,659690,61.47,1.52,1.42,Therapy,29088.0,Yes,82.35,4810.0,8.02,55792.0,0.86,43.56 +80693,Italy,2002,Asthma,Chronic,1.02,1.55,4.12,36-60,Male,879215,53.05,4.54,6.79,Surgery,47658.0,No,67.17,2230.0,3.54,4309.0,0.71,24.46 +80695,France,2007,Cholera,Cardiovascular,17.47,14.79,7.86,61+,Female,569823,61.63,4.7,4.91,Vaccination,27150.0,No,69.33,1810.0,4.73,23646.0,0.83,66.86 +80697,China,2024,COVID-19,Neurological,12.89,2.25,7.07,36-60,Male,727046,65.93,2.36,0.83,Vaccination,38465.0,No,68.67,1971.0,2.61,67079.0,0.76,43.75 +80701,South Korea,2011,Zika,Metabolic,14.54,5.81,1.93,19-35,Other,727710,86.63,4.1,3.02,Surgery,13352.0,No,70.64,1617.0,5.42,50109.0,0.73,31.34 +80702,South Africa,2002,Cancer,Autoimmune,8.09,0.52,3.69,36-60,Other,238597,76.43,1.94,1.1,Medication,16095.0,No,72.95,856.0,2.99,47750.0,0.77,45.5 +80708,Turkey,2014,Hepatitis,Infectious,0.24,14.39,2.69,0-18,Male,591675,95.2,2.17,6.55,Surgery,22251.0,No,96.91,4183.0,7.16,57182.0,0.73,87.45 +80710,South Korea,2010,Hypertension,Cardiovascular,7.23,12.27,0.81,61+,Other,50609,72.39,1.6,0.52,Vaccination,36105.0,No,91.41,3472.0,1.48,45257.0,0.86,85.26 +80711,South Africa,2011,HIV/AIDS,Viral,16.28,0.66,3.12,19-35,Female,757564,86.21,1.98,0.96,Vaccination,19692.0,Yes,60.36,818.0,2.45,22966.0,0.77,49.55 +80715,South Korea,2004,Rabies,Viral,14.07,11.01,2.25,0-18,Female,425399,50.08,4.74,4.95,Medication,49479.0,Yes,67.69,4989.0,1.47,49478.0,0.47,78.8 +80722,USA,2019,Rabies,Respiratory,19.08,7.31,0.3,19-35,Other,78254,88.54,1.05,3.54,Surgery,38406.0,Yes,57.98,1742.0,4.71,48915.0,0.59,81.03 +80723,USA,2012,Asthma,Cardiovascular,5.32,6.15,8.3,19-35,Male,175076,61.41,2.76,5.57,Surgery,38636.0,No,60.57,4879.0,7.95,73463.0,0.78,41.98 +80728,South Korea,2007,COVID-19,Parasitic,19.45,10.88,2.4,36-60,Other,776719,66.18,2.82,9.19,Therapy,29647.0,Yes,52.08,1010.0,3.03,8297.0,0.86,25.22 +80729,Saudi Arabia,2009,Polio,Parasitic,2.76,7.56,1.43,19-35,Female,126290,56.27,2.0,2.99,Surgery,15432.0,Yes,54.78,2540.0,2.57,55229.0,0.85,60.05 +80736,Turkey,2001,Leprosy,Infectious,11.25,0.29,8.04,0-18,Other,959508,84.45,2.38,8.06,Vaccination,13473.0,Yes,58.71,2224.0,4.07,43508.0,0.42,28.72 +80745,Indonesia,2015,Rabies,Bacterial,15.8,10.01,8.45,19-35,Male,880379,53.1,1.45,5.35,Surgery,6828.0,No,97.9,1429.0,0.44,9198.0,0.87,42.52 +80755,India,2001,Alzheimer's Disease,Genetic,4.23,7.19,1.45,61+,Other,158150,64.89,1.3,4.96,Medication,33458.0,No,68.25,4151.0,9.05,58653.0,0.41,59.41 +80760,Australia,2000,Cancer,Viral,0.26,0.45,3.77,0-18,Other,991373,70.68,0.78,9.61,Vaccination,41290.0,Yes,83.88,664.0,7.45,81400.0,0.85,20.49 +80764,Japan,2022,Leprosy,Respiratory,19.13,9.69,6.47,19-35,Male,918472,86.59,3.76,1.49,Vaccination,8224.0,Yes,78.09,4978.0,5.53,54602.0,0.66,82.36 +80783,Saudi Arabia,2011,Alzheimer's Disease,Neurological,6.58,7.87,4.94,61+,Female,109285,82.35,3.75,6.95,Therapy,14575.0,No,74.1,3887.0,9.91,85047.0,0.6,52.23 +80786,France,2019,Hepatitis,Respiratory,7.56,1.87,8.34,0-18,Male,69000,61.55,1.2,6.88,Vaccination,32875.0,Yes,95.87,1173.0,1.34,57194.0,0.42,27.56 +80787,Australia,2020,Measles,Cardiovascular,7.81,9.49,1.31,0-18,Other,337411,93.22,2.47,1.65,Surgery,38777.0,Yes,60.49,2231.0,1.77,27871.0,0.88,61.96 +80798,France,2004,Hypertension,Infectious,3.29,1.89,6.3,19-35,Male,585098,66.33,4.0,3.47,Vaccination,23873.0,No,66.86,2845.0,1.6,38339.0,0.69,67.68 +80800,Brazil,2009,Hypertension,Metabolic,0.56,13.33,5.87,0-18,Other,891376,85.09,2.42,5.5,Therapy,40694.0,No,93.5,1536.0,6.3,54829.0,0.81,35.92 +80805,Japan,2008,Hepatitis,Cardiovascular,12.61,11.96,9.42,36-60,Male,588364,63.87,2.61,2.02,Vaccination,33496.0,No,52.38,3831.0,7.02,79006.0,0.45,36.12 +80806,Canada,2002,Tuberculosis,Chronic,9.07,8.4,7.21,19-35,Male,896023,80.95,1.9,2.4,Medication,37556.0,Yes,84.9,969.0,9.51,17762.0,0.76,87.38 +80808,South Africa,2012,Dengue,Chronic,15.4,11.33,1.0,61+,Male,828972,61.12,2.03,7.16,Vaccination,840.0,No,72.04,862.0,2.25,98599.0,0.53,37.27 +80813,South Africa,2018,Leprosy,Viral,17.15,8.64,8.58,61+,Male,801494,67.85,3.73,2.66,Therapy,46308.0,Yes,50.09,1385.0,2.11,89410.0,0.75,85.98 +80818,Russia,2005,Hepatitis,Infectious,2.52,14.04,3.54,61+,Other,59682,58.09,2.29,9.24,Vaccination,16730.0,No,83.55,1442.0,9.21,92931.0,0.76,22.63 +80819,Indonesia,2005,Influenza,Cardiovascular,9.54,8.94,4.43,0-18,Other,738632,70.21,3.58,6.3,Therapy,48686.0,No,75.74,138.0,2.46,84993.0,0.55,20.09 +80827,Indonesia,2024,Hepatitis,Metabolic,6.52,10.44,1.84,36-60,Male,956493,83.97,4.9,5.6,Surgery,19940.0,Yes,82.65,3618.0,5.04,47453.0,0.74,77.39 +80833,Mexico,2005,Measles,Cardiovascular,12.64,13.7,4.59,36-60,Female,971864,52.12,3.78,6.19,Vaccination,32080.0,No,73.1,3599.0,4.12,54922.0,0.6,40.84 +80836,Mexico,2020,Hepatitis,Genetic,5.87,9.73,6.58,61+,Other,901758,83.29,1.03,1.34,Vaccination,41544.0,No,98.15,1272.0,8.18,29212.0,0.71,23.11 +80838,Russia,2004,Polio,Neurological,2.19,12.22,7.33,61+,Female,638647,72.58,3.49,2.48,Therapy,18689.0,No,91.29,4891.0,5.1,27847.0,0.77,78.77 +80840,Germany,2023,Diabetes,Neurological,18.19,1.72,2.35,36-60,Male,597877,96.24,0.93,6.12,Therapy,28693.0,No,87.25,2095.0,7.53,20075.0,0.62,26.16 +80842,UK,2015,Dengue,Neurological,18.88,4.17,4.26,36-60,Male,83370,81.15,2.37,6.26,Vaccination,13995.0,No,78.78,117.0,1.13,15800.0,0.84,88.64 +80844,Nigeria,2021,Influenza,Respiratory,12.79,4.51,3.24,61+,Male,552254,95.87,1.71,9.54,Vaccination,6835.0,Yes,92.24,3922.0,4.21,3838.0,0.48,61.79 +80850,Mexico,2020,Dengue,Autoimmune,4.72,3.12,0.45,0-18,Male,185097,77.55,2.84,6.86,Medication,16181.0,No,73.24,4004.0,7.72,94215.0,0.46,55.69 +80853,Indonesia,2024,Tuberculosis,Autoimmune,8.69,1.58,6.39,61+,Female,459571,92.07,2.21,8.16,Therapy,36862.0,No,76.46,364.0,3.88,18012.0,0.53,65.9 +80856,China,2010,Measles,Chronic,16.9,0.78,7.17,19-35,Other,854556,69.04,1.95,0.73,Therapy,6828.0,Yes,69.11,3486.0,8.48,74790.0,0.67,85.48 +80863,Argentina,2011,HIV/AIDS,Neurological,17.56,9.06,1.61,36-60,Female,646432,59.45,2.58,5.51,Surgery,13080.0,Yes,59.58,4299.0,9.42,54290.0,0.64,35.99 +80872,Indonesia,2014,Ebola,Metabolic,15.3,7.37,8.19,0-18,Male,754454,85.56,3.23,0.98,Surgery,28329.0,Yes,63.87,3090.0,2.41,78973.0,0.44,53.4 +80874,Indonesia,2020,Ebola,Metabolic,3.47,3.02,8.59,61+,Male,74971,56.52,3.8,3.0,Therapy,30261.0,No,65.71,4086.0,5.01,42719.0,0.4,88.18 +80882,Saudi Arabia,2008,Polio,Neurological,5.25,13.09,1.01,0-18,Other,99049,96.93,4.86,7.07,Medication,47841.0,No,57.87,4895.0,8.0,42033.0,0.67,89.18 +80885,South Korea,2004,Diabetes,Bacterial,13.08,3.15,9.41,36-60,Female,853688,98.22,1.77,9.25,Medication,33355.0,No,87.97,633.0,2.55,83405.0,0.84,33.15 +80890,Nigeria,2003,Cancer,Genetic,12.05,2.15,7.6,61+,Other,186119,77.57,4.99,0.84,Vaccination,32520.0,No,81.1,4466.0,8.59,16894.0,0.86,53.23 +80903,Italy,2011,Malaria,Genetic,4.35,1.31,7.63,0-18,Other,916837,77.6,2.06,4.63,Vaccination,44062.0,Yes,84.97,111.0,6.8,47713.0,0.57,34.84 +80910,Mexico,2020,Leprosy,Autoimmune,14.28,11.39,9.14,0-18,Female,110772,65.21,2.07,2.48,Therapy,6439.0,No,75.91,4234.0,8.38,76428.0,0.82,38.13 +80912,UK,2002,Influenza,Genetic,16.47,4.16,8.17,36-60,Female,304778,67.15,4.99,7.35,Vaccination,32861.0,No,80.38,517.0,1.87,33205.0,0.67,20.73 +80918,Turkey,2023,Dengue,Cardiovascular,6.95,11.22,7.1,0-18,Male,820907,58.4,4.68,2.45,Medication,44578.0,No,81.88,447.0,5.65,42685.0,0.54,51.8 +80923,South Africa,2023,Rabies,Respiratory,1.78,4.26,9.32,19-35,Other,714855,91.81,0.91,9.85,Medication,48130.0,No,74.89,4784.0,9.28,49993.0,0.47,47.61 +80924,Russia,2013,Zika,Metabolic,14.77,8.34,5.15,36-60,Female,375151,82.45,0.85,1.49,Vaccination,46863.0,No,50.78,307.0,2.87,83135.0,0.4,76.47 +80926,Germany,2004,Hepatitis,Infectious,6.15,12.8,7.35,0-18,Female,274206,64.43,3.57,2.25,Therapy,43209.0,Yes,70.83,796.0,5.15,95853.0,0.48,50.2 +80934,Mexico,2024,Cholera,Bacterial,17.15,10.16,6.17,61+,Other,230234,99.0,1.36,4.06,Medication,29719.0,No,97.72,491.0,2.99,26249.0,0.7,73.14 +80935,Germany,2009,HIV/AIDS,Neurological,13.53,10.04,7.44,19-35,Male,305555,83.84,1.42,8.01,Surgery,31590.0,Yes,79.74,810.0,2.85,57695.0,0.76,38.84 +80947,Mexico,2008,Parkinson's Disease,Infectious,8.23,0.9,7.4,0-18,Other,994189,87.04,1.02,1.18,Surgery,43159.0,No,80.83,4116.0,9.01,55439.0,0.5,45.95 +80957,Italy,2012,Alzheimer's Disease,Autoimmune,16.11,4.62,6.8,19-35,Female,978056,87.34,3.53,9.79,Medication,35537.0,Yes,63.7,1136.0,0.33,91829.0,0.77,80.66 +80963,Canada,2016,Dengue,Autoimmune,13.44,6.51,9.9,19-35,Other,389226,54.06,0.65,6.92,Vaccination,19600.0,No,86.55,2648.0,1.49,72069.0,0.64,39.65 +80964,Argentina,2005,Rabies,Chronic,5.87,9.41,9.97,0-18,Male,212083,90.85,1.31,6.24,Therapy,38996.0,Yes,91.99,4092.0,9.2,97635.0,0.85,85.61 +80967,Italy,2002,Cancer,Parasitic,11.01,5.21,0.53,19-35,Female,450382,58.98,4.98,2.4,Vaccination,22229.0,No,61.88,1626.0,5.36,38097.0,0.88,60.51 +80969,Canada,2015,Zika,Neurological,2.94,14.59,8.47,19-35,Female,649623,65.2,1.7,3.28,Surgery,43996.0,No,84.62,4123.0,7.74,62710.0,0.66,87.44 +80970,Brazil,2014,Zika,Bacterial,14.53,4.6,3.33,36-60,Male,452761,59.95,3.66,7.74,Medication,49888.0,Yes,67.17,3734.0,2.64,54417.0,0.81,65.84 +80976,Japan,2016,Cholera,Respiratory,14.01,13.6,2.45,0-18,Male,779439,80.74,4.0,7.62,Medication,19399.0,No,97.08,4200.0,2.57,94804.0,0.76,70.7 +80988,Indonesia,2006,Malaria,Infectious,7.84,11.63,8.56,61+,Female,671446,92.75,1.24,8.1,Therapy,44540.0,Yes,67.41,2858.0,3.03,72158.0,0.5,73.3 +80990,China,2007,Diabetes,Cardiovascular,17.74,6.95,1.92,0-18,Female,701151,78.28,3.68,7.55,Therapy,15799.0,Yes,51.81,51.0,7.91,29685.0,0.56,36.42 +80995,Brazil,2023,Measles,Parasitic,2.32,13.1,0.51,36-60,Male,351554,85.86,0.72,5.38,Surgery,6315.0,No,79.77,1627.0,2.49,87594.0,0.57,42.85 +81001,Argentina,2009,Diabetes,Metabolic,10.1,4.98,6.85,19-35,Male,485869,68.79,1.54,9.16,Medication,38977.0,Yes,67.11,4233.0,2.35,9179.0,0.88,23.25 +81005,Turkey,2009,Hypertension,Neurological,18.12,3.94,7.57,0-18,Other,335643,69.13,3.0,4.9,Therapy,27512.0,Yes,54.49,2443.0,5.91,51827.0,0.78,67.02 +81010,South Korea,2023,Malaria,Chronic,5.71,0.94,7.71,0-18,Other,752501,99.08,2.64,3.77,Vaccination,1382.0,No,85.85,3662.0,6.42,48990.0,0.79,54.73 +81020,South Korea,2020,Diabetes,Respiratory,11.43,11.12,9.45,19-35,Other,174916,79.53,0.96,6.25,Surgery,376.0,Yes,98.42,4272.0,1.61,79025.0,0.45,86.66 +81036,South Africa,2015,Rabies,Infectious,1.93,10.04,4.45,19-35,Male,139561,84.43,0.9,1.19,Therapy,21628.0,No,59.89,4677.0,6.02,98398.0,0.89,49.68 +81042,India,2010,Rabies,Neurological,2.48,9.44,6.35,61+,Other,121759,87.4,0.66,9.3,Medication,17969.0,No,96.76,2359.0,2.4,81646.0,0.47,26.16 +81056,Saudi Arabia,2012,Cancer,Autoimmune,7.89,1.7,3.5,0-18,Male,842924,90.5,4.36,7.03,Medication,46705.0,No,53.74,3634.0,2.27,36153.0,0.44,64.96 +81057,Australia,2019,Leprosy,Bacterial,1.62,7.92,7.33,36-60,Female,201348,88.72,0.75,0.65,Therapy,22241.0,No,81.34,251.0,8.61,17875.0,0.8,70.34 +81060,South Africa,2012,Parkinson's Disease,Viral,18.64,0.99,5.03,0-18,Male,569078,75.27,2.71,7.28,Surgery,7953.0,Yes,74.7,56.0,5.07,1593.0,0.44,71.58 +81062,Indonesia,2018,Asthma,Infectious,11.6,8.49,5.0,61+,Female,964398,94.12,0.66,2.83,Therapy,40763.0,Yes,57.29,3865.0,9.36,94348.0,0.64,60.87 +81067,Indonesia,2002,Influenza,Metabolic,9.49,10.37,2.86,19-35,Male,765174,73.47,2.88,9.14,Vaccination,27851.0,Yes,96.72,2347.0,8.26,30451.0,0.75,32.82 +81073,Turkey,2008,Ebola,Autoimmune,10.95,1.63,5.6,19-35,Other,933698,80.52,3.64,1.61,Surgery,19835.0,Yes,78.07,3403.0,5.59,41062.0,0.86,32.62 +81075,France,2004,Diabetes,Parasitic,3.62,13.18,0.94,19-35,Male,469710,78.84,1.57,9.26,Medication,18653.0,Yes,94.62,1187.0,9.17,47888.0,0.7,78.99 +81079,Canada,2007,Zika,Chronic,7.23,14.52,8.99,0-18,Male,243090,94.51,4.73,2.86,Surgery,25516.0,Yes,95.08,4731.0,8.05,65405.0,0.66,72.25 +81086,South Africa,2003,Polio,Cardiovascular,8.7,2.73,2.77,0-18,Other,581388,63.4,2.81,3.72,Surgery,37878.0,Yes,91.01,2682.0,1.44,85320.0,0.52,57.74 +81089,South Korea,2021,Alzheimer's Disease,Bacterial,1.67,5.01,4.48,19-35,Female,332864,77.55,4.85,4.34,Vaccination,21061.0,No,60.91,2748.0,7.63,891.0,0.47,74.14 +81108,Brazil,2019,Dengue,Metabolic,14.8,8.77,6.03,0-18,Male,15024,79.52,4.92,5.46,Surgery,25487.0,No,84.86,1046.0,2.93,94273.0,0.74,72.74 +81111,Russia,2016,Asthma,Neurological,12.26,13.5,6.26,0-18,Male,797681,92.0,1.76,4.44,Therapy,34159.0,No,72.09,2666.0,7.03,48409.0,0.54,76.36 +81115,South Korea,2001,Measles,Cardiovascular,11.17,7.94,2.68,61+,Other,642984,59.31,4.04,1.65,Surgery,37334.0,Yes,88.32,4614.0,5.16,40717.0,0.81,79.94 +81124,China,2015,Rabies,Cardiovascular,1.66,0.36,3.59,61+,Other,207318,60.53,3.75,1.94,Surgery,27431.0,No,87.62,3707.0,9.73,29939.0,0.79,43.72 +81131,South Korea,2021,Cancer,Parasitic,7.4,8.14,0.96,36-60,Other,441868,94.32,3.98,6.27,Medication,32354.0,No,82.25,73.0,4.2,56238.0,0.73,52.78 +81132,Japan,2024,Hepatitis,Genetic,9.71,10.21,6.77,19-35,Male,219221,72.06,4.38,1.3,Surgery,44125.0,Yes,90.81,2585.0,2.34,75787.0,0.61,69.46 +81139,Germany,2007,Influenza,Chronic,7.76,1.97,2.75,19-35,Female,181792,68.69,2.27,5.87,Medication,10836.0,Yes,75.47,82.0,6.15,94982.0,0.44,38.62 +81144,Germany,2018,Dengue,Genetic,11.96,2.7,4.41,19-35,Female,635759,92.02,0.62,2.67,Vaccination,46748.0,Yes,69.29,2901.0,7.15,67120.0,0.67,20.08 +81149,Mexico,2018,COVID-19,Autoimmune,15.03,8.3,3.62,19-35,Female,706192,81.37,1.43,9.53,Medication,11225.0,No,64.26,364.0,7.91,54399.0,0.72,87.84 +81155,Germany,2011,Tuberculosis,Parasitic,19.84,10.11,4.82,61+,Female,32195,82.81,4.51,6.63,Medication,18288.0,Yes,85.42,1908.0,3.64,76996.0,0.55,58.26 +81172,Argentina,2024,Polio,Autoimmune,15.51,2.86,1.76,61+,Other,405403,73.07,3.87,0.97,Medication,673.0,No,73.96,4574.0,5.55,59560.0,0.54,78.73 +81180,Brazil,2007,Malaria,Viral,0.73,3.22,5.65,19-35,Female,629743,79.62,4.65,1.03,Vaccination,35315.0,Yes,77.35,4310.0,9.25,8631.0,0.71,59.01 +81186,USA,2019,HIV/AIDS,Bacterial,15.27,2.02,7.32,0-18,Male,762914,95.01,2.72,8.55,Vaccination,21596.0,Yes,73.34,3984.0,4.47,80724.0,0.47,61.29 +81187,Russia,2005,COVID-19,Metabolic,6.56,5.73,6.87,0-18,Male,793051,70.37,2.12,1.06,Surgery,33201.0,Yes,97.44,3514.0,8.58,48984.0,0.69,75.15 +81192,South Korea,2000,Parkinson's Disease,Bacterial,2.37,5.88,8.29,0-18,Other,120686,74.01,4.16,1.68,Vaccination,31949.0,No,96.82,2527.0,9.18,25010.0,0.64,53.23 +81206,Brazil,2020,Hypertension,Parasitic,0.83,6.01,7.73,61+,Female,996802,91.61,3.85,7.1,Therapy,24148.0,No,68.3,1381.0,2.62,10968.0,0.49,78.64 +81207,Brazil,2003,Ebola,Neurological,2.37,9.24,3.17,36-60,Other,68885,74.37,3.23,4.53,Surgery,41805.0,No,58.28,1106.0,0.74,40559.0,0.67,56.42 +81210,Japan,2010,Asthma,Genetic,14.52,8.11,3.11,61+,Other,841297,61.55,1.53,4.21,Surgery,15752.0,Yes,76.19,1673.0,1.0,43523.0,0.81,88.59 +81211,Japan,2024,Malaria,Neurological,9.86,8.53,9.6,0-18,Other,121137,67.87,1.92,1.05,Therapy,10232.0,Yes,55.89,3986.0,3.85,27834.0,0.72,61.36 +81223,Indonesia,2006,Cancer,Viral,9.22,6.68,7.67,36-60,Female,683590,65.58,1.62,5.08,Surgery,41916.0,No,89.52,2574.0,3.72,9193.0,0.74,71.83 +81226,Mexico,2023,Hypertension,Respiratory,1.29,5.37,0.12,0-18,Male,878915,50.46,2.23,9.07,Surgery,1898.0,No,83.09,2736.0,5.81,75556.0,0.49,53.43 +81233,Japan,2003,Cancer,Metabolic,2.0,7.85,0.6,0-18,Male,546062,97.26,4.4,6.35,Surgery,8394.0,Yes,59.89,2564.0,3.6,55050.0,0.56,31.54 +81240,Japan,2019,Dengue,Infectious,18.23,0.76,5.87,19-35,Other,382582,89.55,1.05,3.05,Therapy,23718.0,No,90.66,4359.0,9.99,27489.0,0.9,66.79 +81248,Nigeria,2024,COVID-19,Autoimmune,12.69,1.1,8.04,36-60,Male,749628,71.64,1.75,8.86,Therapy,29359.0,No,61.29,1534.0,2.29,34000.0,0.69,26.55 +81260,Italy,2004,Leprosy,Infectious,13.77,11.12,6.13,0-18,Female,132473,61.65,3.57,8.68,Medication,37475.0,Yes,55.78,19.0,9.52,26841.0,0.82,73.89 +81263,Indonesia,2007,HIV/AIDS,Bacterial,15.23,6.77,0.8,19-35,Male,586548,82.16,3.9,6.48,Therapy,1265.0,Yes,53.58,3793.0,4.6,88729.0,0.71,63.3 +81274,Japan,2000,Malaria,Chronic,15.14,9.01,7.54,61+,Other,264856,96.16,2.47,5.44,Medication,17831.0,Yes,84.68,3453.0,8.15,61776.0,0.77,80.14 +81279,South Africa,2010,Hypertension,Autoimmune,2.87,0.98,3.64,36-60,Female,730772,83.52,2.19,8.88,Medication,4329.0,No,66.61,3829.0,6.91,29075.0,0.71,34.75 +81293,Australia,2001,Hypertension,Metabolic,18.04,11.21,2.68,19-35,Other,641113,93.32,2.91,6.59,Therapy,34979.0,No,73.58,2035.0,7.81,16343.0,0.42,85.42 +81297,France,2022,Hypertension,Chronic,17.02,10.24,6.99,0-18,Female,211518,73.79,3.37,7.59,Therapy,43094.0,No,76.33,3595.0,9.16,15263.0,0.88,75.23 +81303,South Korea,2023,Asthma,Bacterial,2.02,3.87,6.45,0-18,Other,463154,74.36,0.68,2.26,Medication,751.0,No,58.66,2985.0,1.69,84199.0,0.7,63.46 +81305,China,2007,Zika,Metabolic,5.11,6.14,5.22,19-35,Other,677394,96.97,3.38,7.51,Surgery,45021.0,Yes,57.34,358.0,2.99,77568.0,0.58,79.16 +81310,Indonesia,2019,Ebola,Chronic,1.35,13.83,1.96,61+,Other,979702,56.28,1.07,3.17,Medication,36348.0,No,58.18,2640.0,5.35,87129.0,0.6,81.92 +81311,India,2016,Measles,Autoimmune,1.73,14.46,4.2,61+,Female,945060,84.02,3.14,3.55,Medication,35568.0,Yes,91.7,3632.0,8.96,99586.0,0.73,58.58 +81314,Argentina,2014,Cholera,Chronic,16.68,9.07,8.76,61+,Female,663512,69.18,1.95,7.46,Therapy,38716.0,No,69.81,1070.0,6.62,23778.0,0.84,64.83 +81317,Turkey,2007,Dengue,Respiratory,19.07,4.85,9.0,0-18,Male,571258,94.78,4.71,5.09,Medication,30921.0,Yes,65.97,3780.0,4.4,83849.0,0.59,23.68 +81320,Germany,2014,Hepatitis,Bacterial,1.35,6.31,2.65,19-35,Female,364392,91.15,4.02,8.52,Surgery,36591.0,Yes,67.52,1804.0,4.19,75001.0,0.6,84.44 +81323,Japan,2000,HIV/AIDS,Respiratory,3.16,6.27,3.69,0-18,Male,897708,69.66,1.7,4.01,Medication,48076.0,Yes,60.25,3163.0,2.59,88258.0,0.6,52.83 +81325,France,2022,Tuberculosis,Respiratory,15.84,5.64,9.15,61+,Other,894106,66.07,4.09,1.48,Vaccination,17453.0,No,89.95,2806.0,4.76,34374.0,0.64,88.32 +81329,Germany,2002,Measles,Parasitic,15.87,12.08,4.73,19-35,Female,357856,92.98,1.3,4.14,Therapy,32952.0,No,77.1,4031.0,5.88,68880.0,0.76,59.07 +81330,USA,2010,Alzheimer's Disease,Cardiovascular,18.08,6.87,7.92,19-35,Female,946942,62.76,1.97,1.45,Surgery,20652.0,No,74.23,762.0,6.42,39972.0,0.88,70.49 +81342,Argentina,2006,Hepatitis,Bacterial,14.61,7.97,9.66,36-60,Female,779049,50.25,1.94,8.33,Therapy,49825.0,No,60.3,3837.0,4.08,28066.0,0.66,47.7 +81348,France,2008,Leprosy,Respiratory,11.02,6.11,0.18,61+,Female,318996,58.0,1.71,7.32,Therapy,30494.0,Yes,56.02,1760.0,4.84,62002.0,0.71,66.05 +81352,Australia,2003,Malaria,Chronic,3.47,1.67,3.5,0-18,Other,756520,92.58,0.9,6.87,Vaccination,8532.0,Yes,85.74,2076.0,1.05,38051.0,0.71,63.14 +81355,South Korea,2013,HIV/AIDS,Infectious,1.46,14.92,8.3,61+,Male,402532,74.25,1.54,5.02,Surgery,45386.0,No,66.73,2780.0,3.69,18122.0,0.89,43.61 +81357,UK,2004,Hypertension,Bacterial,6.68,7.5,2.08,36-60,Female,61315,57.45,2.34,5.33,Vaccination,18496.0,No,82.11,1060.0,5.22,18886.0,0.57,35.91 +81367,South Africa,2001,Influenza,Parasitic,19.37,12.6,4.59,0-18,Female,662518,85.61,3.85,3.94,Medication,5733.0,Yes,77.87,4195.0,4.71,17271.0,0.42,72.42 +81371,USA,2019,Alzheimer's Disease,Chronic,11.78,12.15,8.65,36-60,Other,340889,60.22,2.61,6.24,Medication,39728.0,No,77.22,4941.0,10.0,64333.0,0.67,30.17 +81382,Japan,2009,Measles,Viral,1.49,6.29,6.68,19-35,Female,190076,59.44,1.88,9.78,Therapy,45647.0,Yes,51.44,3780.0,0.4,37805.0,0.79,22.51 +81383,Nigeria,2018,Influenza,Chronic,19.1,9.97,6.54,0-18,Other,422228,61.09,3.68,3.11,Surgery,42800.0,Yes,90.51,1978.0,7.36,81240.0,0.8,47.4 +81385,USA,2024,Diabetes,Metabolic,8.8,8.72,5.81,0-18,Female,165670,88.0,1.99,1.53,Medication,36810.0,No,77.88,3783.0,7.6,89222.0,0.67,33.59 +81386,Turkey,2010,HIV/AIDS,Respiratory,3.13,2.1,4.45,36-60,Female,537461,52.67,2.28,4.02,Therapy,38074.0,Yes,74.44,816.0,2.39,37614.0,0.44,54.7 +81387,Mexico,2014,Ebola,Parasitic,13.04,7.98,7.55,61+,Other,310857,55.2,0.87,2.06,Vaccination,35716.0,Yes,59.13,2083.0,1.44,23398.0,0.53,25.08 +81390,South Africa,2020,COVID-19,Infectious,8.09,4.09,6.82,61+,Male,932654,71.9,1.85,0.66,Surgery,27217.0,No,57.94,3095.0,4.57,40766.0,0.46,72.68 +81392,South Africa,2016,Influenza,Parasitic,3.65,1.77,8.79,19-35,Male,372931,91.04,1.19,6.64,Surgery,43842.0,No,82.63,1318.0,2.26,3521.0,0.42,75.5 +81400,Saudi Arabia,2019,Polio,Parasitic,14.13,6.21,3.49,61+,Female,204479,50.67,3.16,9.45,Medication,3563.0,No,71.44,3389.0,6.38,48280.0,0.75,42.5 +81401,Indonesia,2006,Dengue,Respiratory,14.39,0.96,6.68,61+,Male,264254,72.65,2.88,7.2,Medication,18823.0,No,78.96,589.0,0.79,51898.0,0.89,66.57 +81402,Saudi Arabia,2012,Zika,Autoimmune,10.9,6.34,1.74,36-60,Other,48181,53.13,2.7,4.64,Therapy,23592.0,No,78.29,773.0,6.97,63137.0,0.76,76.32 +81412,Brazil,2004,Ebola,Cardiovascular,6.56,6.6,1.24,19-35,Female,390304,51.77,4.83,6.87,Therapy,15571.0,Yes,83.82,54.0,9.75,23596.0,0.67,63.33 +81414,Italy,2012,Diabetes,Genetic,18.47,0.86,9.86,61+,Female,301453,53.88,3.29,7.1,Surgery,36758.0,No,78.8,1362.0,0.71,85033.0,0.67,54.51 +81415,South Korea,2021,Alzheimer's Disease,Viral,0.97,1.78,5.45,19-35,Female,398033,88.43,0.67,4.07,Medication,26197.0,No,73.87,1257.0,3.03,7554.0,0.62,34.71 +81416,Nigeria,2011,Rabies,Infectious,14.92,4.7,0.37,36-60,Female,959494,74.41,1.1,3.99,Vaccination,23777.0,Yes,62.81,1208.0,3.8,39046.0,0.84,70.38 +81419,South Korea,2002,Zika,Metabolic,9.42,4.13,7.56,36-60,Other,603808,62.3,4.44,8.93,Surgery,30880.0,No,96.23,2449.0,3.58,40623.0,0.79,29.72 +81428,Argentina,2008,Alzheimer's Disease,Cardiovascular,19.98,14.22,8.84,36-60,Female,230871,58.53,2.08,1.1,Surgery,259.0,Yes,86.99,1621.0,9.74,16868.0,0.77,79.26 +81433,UK,2002,Hepatitis,Bacterial,12.15,2.73,6.44,19-35,Other,915975,73.9,4.92,4.97,Surgery,2263.0,No,79.57,3090.0,7.15,47780.0,0.78,64.68 +81434,Brazil,2020,Parkinson's Disease,Autoimmune,18.54,7.06,2.04,61+,Other,408750,65.14,4.89,6.82,Medication,31256.0,No,83.53,1610.0,5.49,41775.0,0.67,84.67 +81441,Canada,2021,Parkinson's Disease,Cardiovascular,18.51,7.32,5.38,61+,Male,627361,52.51,4.15,8.35,Vaccination,29795.0,No,71.02,639.0,7.11,3343.0,0.64,28.7 +81455,Italy,2005,Rabies,Bacterial,8.49,12.01,1.54,61+,Male,837765,98.65,2.88,9.97,Medication,22036.0,No,59.31,310.0,6.2,43377.0,0.69,29.05 +81466,Italy,2003,Cholera,Cardiovascular,5.55,8.55,3.01,36-60,Other,506042,70.02,3.52,5.34,Medication,32337.0,Yes,88.33,685.0,7.64,85010.0,0.62,89.81 +81470,Russia,2011,Ebola,Autoimmune,10.0,12.92,7.04,0-18,Male,561401,93.85,3.63,9.33,Therapy,3317.0,No,87.94,4732.0,4.92,75637.0,0.74,38.19 +81475,USA,2012,Leprosy,Autoimmune,10.99,1.4,1.87,0-18,Male,607598,53.56,1.76,1.6,Vaccination,32312.0,No,55.2,4082.0,6.33,30279.0,0.81,24.54 +81482,Japan,2004,Diabetes,Respiratory,9.52,0.73,0.48,0-18,Male,962694,86.81,1.03,8.28,Surgery,12068.0,Yes,55.98,3032.0,1.83,58546.0,0.72,73.04 +81483,UK,2021,Dengue,Genetic,9.1,7.15,6.13,19-35,Female,828073,82.8,4.56,5.28,Medication,39425.0,No,51.25,2368.0,6.51,44668.0,0.74,45.62 +81486,USA,2007,Parkinson's Disease,Autoimmune,12.28,7.08,1.0,61+,Female,744165,76.32,4.59,6.53,Vaccination,16980.0,No,67.63,4504.0,5.98,75659.0,0.77,52.26 +81495,Argentina,2022,Leprosy,Neurological,4.94,6.9,9.96,36-60,Female,764783,76.89,3.34,9.41,Therapy,3077.0,No,82.22,2606.0,5.91,11442.0,0.62,53.24 +81497,South Korea,2004,Cholera,Bacterial,16.48,3.79,4.88,61+,Female,13929,62.7,1.73,8.23,Medication,15102.0,No,51.77,2619.0,5.14,17874.0,0.48,43.73 +81499,South Korea,2014,Hypertension,Infectious,6.77,9.15,1.43,61+,Male,377229,97.37,3.25,9.63,Medication,1453.0,Yes,87.64,1152.0,0.58,40258.0,0.77,76.81 +81507,Argentina,2005,Ebola,Genetic,8.58,14.21,9.2,61+,Male,643734,95.25,3.5,9.52,Vaccination,43226.0,Yes,50.66,2230.0,7.47,5752.0,0.84,25.88 +81516,Turkey,2006,Parkinson's Disease,Bacterial,8.46,4.39,4.28,61+,Female,22941,75.01,2.99,6.65,Surgery,28401.0,Yes,56.44,3315.0,4.84,9478.0,0.52,70.63 +81517,Indonesia,2009,Tuberculosis,Viral,3.36,3.69,3.83,0-18,Other,644852,54.72,3.27,7.86,Medication,47648.0,No,73.93,3739.0,5.63,26869.0,0.71,20.27 +81519,Italy,2023,Alzheimer's Disease,Cardiovascular,12.69,10.15,8.49,36-60,Female,993436,50.62,2.56,6.25,Medication,36494.0,Yes,77.37,1314.0,3.46,87371.0,0.86,48.78 +81523,USA,2021,Zika,Bacterial,9.34,12.26,5.54,19-35,Other,471087,57.6,4.1,7.08,Surgery,47575.0,Yes,75.36,4525.0,8.69,78633.0,0.59,35.16 +81527,Brazil,2015,Malaria,Genetic,10.35,7.12,5.11,0-18,Other,783845,54.49,2.55,8.64,Medication,47083.0,Yes,82.53,1303.0,1.92,12171.0,0.46,50.1 +81529,Indonesia,2017,Rabies,Metabolic,1.31,14.55,3.72,19-35,Female,944235,64.53,1.3,7.92,Medication,26763.0,No,57.69,3222.0,1.53,21234.0,0.66,61.88 +81534,Indonesia,2020,Ebola,Bacterial,3.84,7.98,1.04,36-60,Other,115820,60.05,2.9,2.3,Therapy,29973.0,Yes,55.9,4453.0,7.07,9114.0,0.77,75.77 +81540,Mexico,2003,Hepatitis,Viral,2.69,3.11,7.78,19-35,Female,574307,90.0,0.66,1.67,Vaccination,2355.0,Yes,92.35,3173.0,8.02,59172.0,0.64,31.21 +81542,Russia,2005,Cancer,Autoimmune,6.49,5.69,4.1,19-35,Other,679057,87.02,1.64,9.38,Medication,44091.0,Yes,79.23,1108.0,8.85,35636.0,0.44,28.43 +81543,Australia,2014,Tuberculosis,Neurological,12.18,5.11,2.37,61+,Female,376969,86.56,0.98,6.48,Therapy,30491.0,Yes,79.75,2782.0,7.69,70204.0,0.44,35.94 +81547,India,2001,Tuberculosis,Cardiovascular,2.37,9.98,4.53,61+,Male,634076,91.65,2.81,3.48,Medication,1939.0,No,54.98,4922.0,1.86,20175.0,0.68,37.94 +81548,Germany,2012,Polio,Neurological,6.73,12.24,3.87,0-18,Other,49886,59.72,0.6,6.7,Surgery,31238.0,Yes,88.45,3299.0,3.54,35068.0,0.77,81.96 +81553,Germany,2003,Ebola,Viral,13.49,11.69,3.86,36-60,Male,47689,68.4,1.07,2.68,Vaccination,12358.0,No,62.34,1113.0,0.24,92705.0,0.89,77.01 +81565,Russia,2023,Tuberculosis,Infectious,3.47,9.48,7.12,61+,Other,984656,52.77,2.63,2.89,Vaccination,22760.0,Yes,53.51,3919.0,8.32,37913.0,0.42,50.42 +81581,Japan,2000,Cholera,Autoimmune,16.53,6.72,4.38,61+,Female,384393,60.82,2.61,4.28,Medication,29706.0,No,58.41,276.0,3.99,45992.0,0.66,48.24 +81595,South Africa,2016,HIV/AIDS,Neurological,0.79,0.98,4.81,19-35,Male,854391,63.57,4.44,1.29,Therapy,26826.0,No,68.9,3319.0,0.97,70954.0,0.43,64.73 +81598,Turkey,2006,HIV/AIDS,Viral,14.34,7.67,6.63,61+,Female,850138,75.91,1.04,7.21,Vaccination,13250.0,Yes,77.02,4489.0,2.65,82482.0,0.55,31.34 +81605,South Korea,2021,Influenza,Infectious,14.86,14.22,6.6,36-60,Female,402968,98.04,4.93,8.32,Therapy,24088.0,Yes,53.35,3604.0,6.95,81457.0,0.43,79.72 +81608,UK,2003,Cholera,Viral,10.52,0.11,1.06,19-35,Female,523434,75.48,3.58,3.12,Therapy,42915.0,No,75.75,4167.0,2.92,52467.0,0.69,63.99 +81611,India,2021,Dengue,Metabolic,2.25,4.88,1.79,19-35,Male,59519,85.28,1.96,8.06,Surgery,7754.0,Yes,74.48,4962.0,7.84,94955.0,0.8,60.04 +81635,South Africa,2018,Leprosy,Neurological,10.17,5.55,8.1,61+,Male,211953,50.31,2.54,7.87,Medication,394.0,No,54.38,4089.0,2.43,3007.0,0.42,31.2 +81642,Brazil,2002,Asthma,Neurological,2.33,11.72,0.66,61+,Female,262848,51.2,1.22,4.96,Medication,43831.0,Yes,59.87,204.0,9.98,49277.0,0.76,24.63 +81643,Indonesia,2024,Asthma,Autoimmune,16.04,9.32,0.62,36-60,Male,507567,68.5,1.01,4.25,Vaccination,34457.0,Yes,57.45,53.0,5.61,80659.0,0.7,59.21 +81644,South Africa,2004,Zika,Bacterial,16.39,12.89,2.79,0-18,Other,371232,64.63,0.95,6.28,Surgery,13985.0,Yes,58.15,2533.0,3.95,11453.0,0.62,46.26 +81649,Nigeria,2010,Asthma,Bacterial,6.47,14.1,1.99,0-18,Female,922076,88.42,2.05,2.75,Surgery,33306.0,Yes,62.02,876.0,8.29,35252.0,0.5,60.41 +81671,India,2013,Hepatitis,Infectious,7.08,1.88,8.49,0-18,Other,782602,77.19,4.97,4.86,Therapy,8590.0,Yes,86.93,2860.0,0.75,58453.0,0.41,38.61 +81675,Nigeria,2012,Measles,Infectious,17.75,1.75,8.38,61+,Other,454809,90.68,3.37,1.21,Vaccination,8852.0,No,68.18,4520.0,0.66,97631.0,0.89,47.66 +81676,Russia,2002,Ebola,Infectious,1.04,12.39,5.39,19-35,Male,160050,59.72,3.13,9.22,Vaccination,39331.0,No,82.13,3085.0,3.69,7169.0,0.57,30.81 +81677,South Africa,2015,Influenza,Viral,7.88,6.33,9.67,61+,Male,281677,66.51,1.53,9.63,Medication,10240.0,Yes,85.38,4759.0,9.59,48741.0,0.8,56.52 +81683,China,2003,Malaria,Cardiovascular,4.78,0.6,3.38,36-60,Female,617396,50.35,4.48,3.86,Therapy,30699.0,Yes,94.42,2958.0,5.96,23957.0,0.51,86.6 +81684,Germany,2002,Influenza,Cardiovascular,7.49,5.29,1.53,19-35,Other,83817,65.14,4.62,5.91,Vaccination,8408.0,No,73.26,1404.0,4.96,7073.0,0.88,41.85 +81686,UK,2013,HIV/AIDS,Viral,9.23,9.18,3.61,19-35,Other,332114,67.73,3.66,9.71,Medication,20010.0,No,84.43,967.0,6.74,89613.0,0.75,57.01 +81687,Canada,2009,Cancer,Autoimmune,9.64,13.41,3.06,0-18,Male,699944,89.56,4.84,5.62,Vaccination,27389.0,No,52.63,3185.0,7.45,44010.0,0.47,37.23 +81694,Japan,2005,Hypertension,Autoimmune,7.14,12.5,6.3,0-18,Female,915886,76.93,1.92,8.63,Surgery,24543.0,No,60.81,3996.0,9.09,46869.0,0.79,54.99 +81710,France,2003,Zika,Infectious,4.78,8.64,9.36,0-18,Female,654674,56.37,3.08,9.75,Therapy,13233.0,Yes,84.02,2865.0,0.7,72936.0,0.87,20.76 +81714,Nigeria,2009,Asthma,Genetic,3.05,6.14,3.2,19-35,Female,637854,89.25,1.29,1.62,Medication,45992.0,Yes,71.19,4895.0,2.92,63772.0,0.7,54.08 +81720,USA,2002,Parkinson's Disease,Autoimmune,4.26,10.55,7.08,0-18,Other,397994,58.03,1.04,1.91,Medication,26845.0,No,98.56,2914.0,6.21,18150.0,0.82,74.25 +81727,Saudi Arabia,2008,Dengue,Parasitic,12.47,0.64,9.23,36-60,Female,484332,64.06,1.62,0.91,Therapy,31886.0,No,76.11,4144.0,7.27,26026.0,0.57,27.42 +81730,Russia,2017,Cholera,Genetic,0.42,12.96,1.97,36-60,Male,187029,81.51,0.66,7.61,Medication,20842.0,Yes,65.24,1957.0,3.51,94601.0,0.6,26.66 +81738,Germany,2017,Leprosy,Infectious,7.94,9.63,3.75,0-18,Female,71494,87.78,1.47,5.04,Vaccination,32917.0,No,79.43,243.0,2.04,56333.0,0.58,39.34 +81741,Italy,2007,Malaria,Chronic,1.53,10.89,9.48,36-60,Other,104973,54.53,0.89,5.74,Vaccination,35510.0,No,70.7,3268.0,6.35,41567.0,0.68,45.73 +81751,Mexico,2016,Diabetes,Bacterial,19.65,13.42,2.13,0-18,Female,527646,58.0,1.14,4.81,Therapy,21907.0,Yes,50.56,3459.0,2.42,25139.0,0.87,86.91 +81762,Italy,2024,HIV/AIDS,Infectious,2.76,7.63,8.06,36-60,Female,178212,83.74,3.56,9.05,Medication,4886.0,Yes,83.74,2833.0,3.78,27132.0,0.68,34.86 +81769,India,2015,Cancer,Viral,2.42,9.21,7.23,19-35,Female,556715,59.79,4.84,7.37,Medication,32606.0,No,85.62,4018.0,6.04,81667.0,0.72,25.33 +81773,Japan,2009,Parkinson's Disease,Autoimmune,9.92,14.82,8.13,36-60,Other,643925,96.72,2.93,9.96,Vaccination,41907.0,No,93.41,3680.0,0.79,30720.0,0.46,52.02 +81778,Russia,2002,Hepatitis,Viral,19.39,3.29,1.9,36-60,Male,302630,83.63,0.67,4.95,Medication,41671.0,Yes,81.5,2975.0,9.62,35892.0,0.82,81.86 +81782,South Africa,2000,Asthma,Autoimmune,5.93,7.42,0.68,19-35,Female,660665,82.82,0.92,5.51,Medication,12204.0,No,70.26,3121.0,7.46,57174.0,0.61,54.65 +81785,Japan,2023,Influenza,Viral,7.48,11.61,8.46,36-60,Female,347217,76.07,3.68,2.0,Surgery,18760.0,No,51.06,3957.0,4.7,75936.0,0.49,47.55 +81789,USA,2007,Diabetes,Bacterial,17.87,13.7,3.05,36-60,Male,250078,80.09,0.72,7.83,Therapy,32504.0,No,66.11,4208.0,5.2,57540.0,0.78,64.99 +81792,India,2002,Asthma,Genetic,18.84,6.46,4.13,19-35,Female,27951,86.61,3.2,2.89,Surgery,36282.0,Yes,57.51,960.0,8.1,56447.0,0.85,48.39 +81795,Italy,2012,Cancer,Infectious,10.88,11.37,3.96,19-35,Female,437529,57.82,2.15,2.94,Therapy,4725.0,No,67.95,1313.0,2.88,75498.0,0.49,28.51 +81796,China,2012,Zika,Genetic,5.04,0.81,5.89,19-35,Other,4059,78.13,4.04,5.5,Surgery,30222.0,Yes,76.6,4776.0,8.76,64107.0,0.65,31.94 +81803,Indonesia,2005,Alzheimer's Disease,Parasitic,12.7,11.23,4.11,0-18,Male,775769,85.21,1.45,1.57,Therapy,3684.0,Yes,53.53,2367.0,2.83,94572.0,0.7,60.51 +81806,Germany,2023,Hypertension,Neurological,11.85,0.63,9.56,61+,Male,254129,54.6,0.95,5.64,Therapy,11620.0,Yes,76.74,2985.0,9.38,14174.0,0.69,29.01 +81810,Italy,2012,HIV/AIDS,Viral,15.15,2.22,4.16,19-35,Male,388231,74.68,1.87,1.65,Vaccination,18621.0,Yes,53.61,3702.0,6.16,80327.0,0.89,23.21 +81813,France,2016,HIV/AIDS,Genetic,6.73,10.69,0.66,0-18,Female,157495,90.32,1.49,7.65,Vaccination,23648.0,Yes,52.27,3272.0,1.92,41298.0,0.53,85.87 +81822,USA,2003,Rabies,Viral,0.5,13.34,7.12,0-18,Female,248850,87.17,4.43,9.67,Surgery,27096.0,No,65.82,1464.0,9.38,76035.0,0.84,47.01 +81825,South Africa,2011,Asthma,Genetic,7.47,7.69,1.35,0-18,Male,986896,85.0,1.45,8.43,Vaccination,40931.0,No,94.95,974.0,5.0,59739.0,0.41,58.71 +81827,Argentina,2001,Measles,Cardiovascular,4.04,9.4,8.92,36-60,Other,910084,69.47,2.86,5.63,Medication,777.0,No,64.69,1185.0,4.0,83812.0,0.42,54.82 +81831,China,2005,Malaria,Parasitic,5.52,10.46,8.06,61+,Other,758927,67.63,2.24,8.42,Medication,24734.0,Yes,65.25,4692.0,2.15,9690.0,0.44,70.29 +81833,Saudi Arabia,2001,Asthma,Bacterial,1.93,11.32,7.55,61+,Male,948033,85.91,1.99,9.42,Medication,42910.0,Yes,63.35,1612.0,8.78,64524.0,0.54,46.4 +81838,Canada,2011,Asthma,Neurological,8.5,9.27,3.44,36-60,Male,620722,66.46,3.43,3.36,Therapy,15665.0,No,97.47,2437.0,3.71,45335.0,0.42,21.72 +81845,France,2023,Influenza,Viral,6.14,8.63,8.66,19-35,Other,898603,59.57,2.43,7.79,Vaccination,49724.0,No,61.42,1488.0,1.33,20319.0,0.71,73.57 +81847,Canada,2009,COVID-19,Metabolic,1.6,14.08,6.29,36-60,Female,54972,72.88,4.81,2.49,Medication,17779.0,No,66.62,1651.0,7.61,11031.0,0.65,53.05 +81851,USA,2007,Hypertension,Viral,10.4,2.17,9.53,19-35,Female,599523,80.78,1.27,9.63,Therapy,44394.0,No,80.39,3054.0,3.49,16050.0,0.45,34.32 +81859,South Africa,2012,Dengue,Viral,7.82,14.15,9.59,61+,Male,450339,67.07,2.73,4.44,Surgery,44967.0,Yes,78.21,1168.0,7.29,65995.0,0.45,70.84 +81865,Australia,2002,Diabetes,Genetic,6.2,2.51,4.54,61+,Other,127246,61.2,2.56,4.84,Therapy,10604.0,Yes,67.38,2299.0,8.93,80236.0,0.57,29.13 +81869,Brazil,2013,Hypertension,Autoimmune,1.34,2.98,4.98,0-18,Female,800964,96.71,0.96,9.07,Medication,38629.0,No,84.27,4811.0,5.32,74788.0,0.69,79.04 +81870,Germany,2014,Measles,Cardiovascular,17.16,0.65,2.86,61+,Other,469809,63.2,0.69,3.77,Therapy,40669.0,No,95.22,355.0,1.34,17916.0,0.45,28.99 +81871,Argentina,2000,Parkinson's Disease,Parasitic,10.44,9.23,1.89,0-18,Male,414303,56.68,2.79,0.89,Therapy,20270.0,No,75.19,3544.0,0.72,24550.0,0.54,65.22 +81878,South Korea,2020,Asthma,Parasitic,17.3,5.4,1.77,36-60,Female,387905,77.29,4.55,2.03,Vaccination,8601.0,No,53.77,1445.0,4.03,53459.0,0.86,21.05 +81897,France,2016,Influenza,Cardiovascular,3.0,0.55,0.83,36-60,Male,821803,84.09,2.81,1.54,Therapy,17670.0,Yes,69.65,918.0,7.55,55835.0,0.8,29.1 +81901,China,2008,Asthma,Parasitic,13.19,8.19,2.58,0-18,Male,812542,78.3,4.41,2.21,Surgery,27790.0,No,56.88,3922.0,3.36,58738.0,0.52,42.41 +81904,Russia,2022,Asthma,Cardiovascular,19.33,13.25,8.48,36-60,Male,392698,72.86,3.93,2.33,Surgery,9022.0,No,81.87,1714.0,9.18,60749.0,0.44,23.02 +81915,South Africa,2007,Measles,Metabolic,8.32,7.93,8.29,61+,Other,972604,56.77,1.43,4.31,Vaccination,7713.0,Yes,69.61,949.0,0.23,26626.0,0.41,23.88 +81918,Australia,2004,Asthma,Genetic,12.92,14.44,8.65,19-35,Female,278660,78.03,1.32,2.74,Surgery,40444.0,Yes,93.44,2936.0,1.51,90875.0,0.52,86.12 +81924,Russia,2023,Dengue,Genetic,11.28,2.15,7.37,36-60,Female,42572,68.11,3.59,5.41,Medication,38974.0,No,71.75,1441.0,6.18,14913.0,0.82,59.74 +81929,Saudi Arabia,2002,Tuberculosis,Metabolic,3.01,3.5,5.57,0-18,Other,584416,68.69,4.85,1.75,Medication,26703.0,Yes,67.96,4414.0,0.89,86566.0,0.77,60.28 +81932,Turkey,2006,Polio,Chronic,17.4,6.59,5.49,36-60,Female,26122,63.51,1.37,3.67,Therapy,9288.0,Yes,84.7,2937.0,5.5,33242.0,0.61,42.11 +81935,Japan,2017,Asthma,Chronic,8.63,4.09,0.58,19-35,Female,657434,57.92,4.47,9.2,Vaccination,49764.0,No,75.71,244.0,8.18,8851.0,0.68,46.89 +81941,India,2009,Influenza,Respiratory,4.64,2.35,3.48,61+,Other,458891,79.49,2.8,6.98,Surgery,20251.0,Yes,50.52,4747.0,4.44,79654.0,0.7,83.74 +81946,Mexico,2015,Diabetes,Parasitic,6.69,13.31,5.56,0-18,Female,777026,72.98,4.99,0.87,Medication,36938.0,No,66.86,3174.0,9.6,68926.0,0.82,88.2 +81950,Nigeria,2011,Tuberculosis,Cardiovascular,12.41,6.1,5.25,36-60,Male,956689,74.65,2.51,3.95,Medication,28293.0,No,93.66,1755.0,9.22,89723.0,0.43,22.24 +81953,Nigeria,2008,Cancer,Parasitic,18.17,14.8,3.79,61+,Male,84108,97.75,4.75,8.91,Therapy,148.0,No,86.78,3589.0,8.28,81082.0,0.5,30.11 +81958,Mexico,2022,Measles,Parasitic,18.39,2.39,6.23,36-60,Female,320043,86.98,3.72,9.87,Vaccination,40445.0,No,59.53,2737.0,8.64,74438.0,0.58,27.62 +81961,Indonesia,2024,COVID-19,Chronic,1.45,5.82,1.72,61+,Female,188780,69.8,4.73,2.62,Surgery,11058.0,Yes,97.59,2523.0,4.12,83689.0,0.4,38.73 +81962,Mexico,2018,Tuberculosis,Cardiovascular,11.25,9.09,9.43,0-18,Other,531115,79.72,4.56,1.72,Surgery,22359.0,No,82.06,3496.0,4.05,25293.0,0.66,64.18 +81964,Saudi Arabia,2024,Tuberculosis,Genetic,2.19,6.97,3.39,61+,Male,384464,67.01,4.99,9.51,Vaccination,26958.0,Yes,59.83,827.0,2.6,47916.0,0.56,60.17 +81971,Turkey,2022,Alzheimer's Disease,Bacterial,15.31,10.04,8.23,19-35,Female,482429,96.42,3.81,7.81,Medication,8047.0,No,89.24,1706.0,7.34,59690.0,0.88,48.72 +81983,Brazil,2020,Leprosy,Chronic,18.74,6.93,6.13,19-35,Male,933835,90.4,3.33,8.19,Vaccination,17402.0,No,90.44,3566.0,7.85,39661.0,0.64,45.43 +81992,Italy,2018,HIV/AIDS,Viral,18.5,0.87,1.7,0-18,Male,611986,57.01,1.99,6.9,Surgery,3183.0,Yes,93.63,3895.0,9.22,71355.0,0.51,23.08 +81994,Germany,2012,HIV/AIDS,Respiratory,11.15,1.15,0.95,0-18,Male,256399,58.47,4.38,4.91,Vaccination,33456.0,No,59.33,3905.0,8.1,4189.0,0.62,28.58 +82004,Australia,2014,COVID-19,Viral,16.33,5.7,1.85,0-18,Female,507270,74.98,1.65,8.26,Medication,48891.0,Yes,51.15,1311.0,9.3,49895.0,0.75,63.24 +82010,Saudi Arabia,2012,Tuberculosis,Parasitic,8.22,13.32,8.49,19-35,Male,77231,93.23,1.76,1.08,Vaccination,42196.0,No,85.42,3073.0,1.14,17535.0,0.48,24.25 +82018,Brazil,2002,Measles,Respiratory,12.13,10.85,3.21,36-60,Male,396673,86.4,3.6,2.72,Medication,16392.0,No,93.07,4175.0,8.82,2046.0,0.46,48.13 +82026,UK,2022,Polio,Autoimmune,6.25,0.13,4.06,19-35,Female,23252,67.49,1.82,2.2,Vaccination,4964.0,Yes,63.36,3664.0,5.96,49506.0,0.72,56.59 +82028,South Korea,2014,Polio,Respiratory,2.0,6.25,0.28,0-18,Female,728093,59.55,1.47,1.69,Surgery,25078.0,No,85.37,1875.0,4.9,16294.0,0.7,52.72 +82033,Brazil,2009,HIV/AIDS,Metabolic,9.92,4.31,5.71,36-60,Other,528930,87.5,0.55,6.06,Surgery,30615.0,No,78.17,4434.0,5.99,34271.0,0.51,70.66 +82041,UK,2014,Leprosy,Genetic,17.49,0.57,5.22,19-35,Male,379711,51.61,0.95,8.63,Surgery,36682.0,Yes,67.6,645.0,8.37,70694.0,0.72,59.18 +82043,China,2024,Tuberculosis,Bacterial,11.11,9.08,8.9,36-60,Other,889548,95.94,1.48,8.12,Therapy,35974.0,No,84.79,3237.0,9.47,80219.0,0.51,25.7 +82054,Nigeria,2002,Cancer,Cardiovascular,17.45,1.16,6.3,0-18,Other,410162,55.68,2.24,3.89,Therapy,17448.0,Yes,79.11,3090.0,8.36,89817.0,0.85,51.8 +82055,Indonesia,2009,Asthma,Viral,9.22,9.74,2.12,19-35,Other,570537,99.14,1.08,4.63,Vaccination,11880.0,Yes,83.05,2051.0,2.55,11297.0,0.57,64.35 +82058,India,2008,Leprosy,Neurological,13.59,11.0,1.58,0-18,Female,377652,51.86,3.08,1.39,Medication,9120.0,Yes,86.44,2029.0,7.68,11371.0,0.58,71.66 +82059,Canada,2003,Hypertension,Parasitic,1.26,4.28,3.33,19-35,Other,447898,53.08,0.79,9.62,Therapy,37913.0,No,79.67,3136.0,9.69,54667.0,0.55,61.31 +82062,Canada,2010,Diabetes,Neurological,19.98,3.6,3.09,0-18,Other,746692,50.07,3.51,0.96,Therapy,33482.0,Yes,80.58,2010.0,0.54,793.0,0.68,46.64 +82065,Nigeria,2024,HIV/AIDS,Genetic,15.17,8.04,7.07,36-60,Female,341464,56.98,1.55,4.28,Therapy,18824.0,No,83.53,468.0,3.31,85295.0,0.77,46.13 +82066,Australia,2023,Influenza,Autoimmune,8.2,5.98,2.1,61+,Other,961741,58.88,4.1,5.25,Vaccination,47913.0,Yes,91.62,2616.0,0.83,49279.0,0.72,88.83 +82068,South Korea,2021,Malaria,Metabolic,12.44,9.99,9.1,19-35,Female,712002,72.39,0.78,6.19,Medication,26474.0,Yes,93.96,4560.0,9.09,16387.0,0.61,82.25 +82077,Russia,2010,HIV/AIDS,Autoimmune,13.07,8.41,4.47,19-35,Female,900120,56.47,0.91,3.3,Surgery,2225.0,Yes,64.14,3255.0,3.19,24179.0,0.48,25.58 +82085,Nigeria,2019,Dengue,Metabolic,8.43,5.99,1.73,0-18,Male,641243,89.09,2.03,9.07,Surgery,43437.0,No,59.41,4763.0,9.07,99848.0,0.45,67.89 +82089,India,2009,Leprosy,Cardiovascular,14.37,12.95,4.76,36-60,Male,853463,67.98,1.12,2.33,Therapy,37349.0,No,98.85,1386.0,4.42,53835.0,0.66,74.08 +82090,Canada,2015,Cancer,Neurological,1.55,10.27,9.93,61+,Female,667554,80.45,0.66,2.65,Vaccination,41324.0,Yes,82.57,2462.0,4.0,77707.0,0.79,33.53 +82094,Nigeria,2005,Zika,Cardiovascular,14.82,9.61,5.6,19-35,Other,192478,92.71,0.54,5.74,Vaccination,32714.0,No,82.62,3414.0,8.8,52469.0,0.88,54.07 +82100,Indonesia,2019,Cholera,Genetic,13.14,7.47,8.28,19-35,Male,331737,54.12,3.4,1.15,Surgery,7896.0,Yes,87.64,501.0,2.87,67411.0,0.4,87.56 +82103,Turkey,2009,Ebola,Autoimmune,2.11,14.24,7.53,61+,Male,222500,54.03,3.23,0.61,Vaccination,16207.0,No,87.58,4553.0,0.55,62016.0,0.45,76.77 +82106,Brazil,2020,Ebola,Neurological,12.0,6.28,2.98,36-60,Male,859072,95.61,2.81,2.87,Therapy,9404.0,Yes,88.81,3425.0,7.48,85601.0,0.63,33.11 +82109,Turkey,2023,Cancer,Neurological,11.45,9.62,3.84,19-35,Other,173709,66.02,1.44,3.16,Vaccination,19877.0,No,61.96,4882.0,1.62,86657.0,0.47,26.92 +82111,Brazil,2008,Asthma,Chronic,9.46,0.66,1.68,19-35,Male,587358,71.35,3.26,9.88,Vaccination,19438.0,No,56.81,4160.0,3.62,93352.0,0.77,34.14 +82117,Saudi Arabia,2017,Asthma,Infectious,1.73,7.85,3.74,0-18,Female,969204,72.63,2.49,0.59,Vaccination,17735.0,Yes,81.26,1747.0,9.93,11025.0,0.55,38.85 +82120,Argentina,2001,Diabetes,Infectious,5.96,7.83,5.5,0-18,Male,816799,68.38,4.74,7.74,Surgery,14893.0,No,54.38,1409.0,1.51,20708.0,0.6,54.93 +82121,Russia,2004,Zika,Viral,18.91,4.14,6.15,61+,Female,771675,67.45,3.04,4.33,Therapy,30386.0,Yes,90.53,1258.0,4.1,92709.0,0.81,20.56 +82122,Saudi Arabia,2008,Parkinson's Disease,Cardiovascular,4.21,9.64,2.11,0-18,Other,860383,68.98,3.56,8.94,Therapy,16929.0,No,80.89,1008.0,2.63,29498.0,0.72,42.23 +82124,Japan,2011,Diabetes,Genetic,18.24,3.4,9.31,36-60,Female,268443,98.45,2.85,7.88,Surgery,42025.0,Yes,62.18,413.0,9.61,66437.0,0.74,65.77 +82135,USA,2004,Cholera,Respiratory,1.61,12.42,4.81,0-18,Female,793809,81.22,3.95,6.86,Medication,43509.0,Yes,53.41,3044.0,4.62,21899.0,0.71,73.02 +82143,Turkey,2006,Dengue,Neurological,0.4,14.38,5.67,61+,Male,244381,78.87,4.48,2.14,Vaccination,10555.0,No,63.76,188.0,8.75,64026.0,0.83,43.01 +82151,Brazil,2010,Cholera,Autoimmune,6.27,1.97,2.02,61+,Female,63348,61.15,0.67,3.55,Therapy,15762.0,No,68.51,2047.0,5.91,26723.0,0.87,52.08 +82165,Nigeria,2000,Alzheimer's Disease,Metabolic,8.62,9.57,6.59,19-35,Female,433796,78.51,2.39,0.92,Vaccination,28568.0,Yes,61.09,354.0,8.8,49133.0,0.4,57.73 +82171,Japan,2017,Malaria,Metabolic,2.19,4.2,1.01,36-60,Other,92589,58.16,3.54,6.16,Vaccination,12234.0,Yes,86.92,3333.0,7.71,68391.0,0.73,73.09 +82174,Germany,2010,Cholera,Infectious,10.26,3.02,5.16,36-60,Male,149380,94.94,1.33,1.86,Surgery,22041.0,Yes,60.28,2926.0,6.96,42104.0,0.43,48.5 +82186,France,2014,Leprosy,Chronic,16.87,6.48,0.51,61+,Female,717378,78.84,2.18,5.21,Medication,41413.0,Yes,71.21,1039.0,9.94,6189.0,0.54,84.81 +82190,South Korea,2010,Polio,Neurological,7.66,9.77,4.69,61+,Female,48111,68.52,4.86,4.53,Vaccination,49221.0,Yes,83.73,772.0,1.95,85746.0,0.61,43.8 +82193,India,2014,Ebola,Viral,18.39,2.83,5.03,36-60,Male,646074,54.04,1.58,6.03,Medication,38583.0,Yes,95.1,4685.0,8.6,87718.0,0.62,60.73 +82203,Canada,2003,Hypertension,Cardiovascular,12.74,10.8,5.33,19-35,Other,532195,80.02,3.44,1.65,Surgery,17779.0,No,83.6,231.0,0.07,95725.0,0.76,21.11 +82206,Argentina,2019,Diabetes,Infectious,1.27,2.78,8.44,19-35,Female,709635,75.9,1.35,3.55,Therapy,47546.0,No,84.94,2397.0,5.88,66640.0,0.86,75.79 +82208,China,2020,Leprosy,Infectious,10.75,0.85,9.45,19-35,Other,837814,87.68,1.17,3.92,Medication,35134.0,Yes,62.19,1715.0,0.64,70618.0,0.42,38.59 +82211,Indonesia,2002,Measles,Bacterial,6.43,10.32,9.04,36-60,Other,519454,97.3,1.63,5.67,Medication,32555.0,Yes,61.93,695.0,3.27,19849.0,0.43,65.44 +82212,South Korea,2006,HIV/AIDS,Autoimmune,8.62,14.01,2.39,61+,Female,561371,63.76,3.94,1.89,Vaccination,13520.0,Yes,84.16,1893.0,5.55,61631.0,0.53,60.8 +82218,India,2018,Hypertension,Respiratory,3.67,8.83,4.85,0-18,Female,707861,78.89,1.13,8.35,Vaccination,2761.0,No,51.48,1035.0,0.24,8225.0,0.62,35.7 +82221,USA,2014,Measles,Viral,10.37,14.26,1.69,0-18,Other,398924,56.72,2.78,6.59,Therapy,45410.0,Yes,92.52,2323.0,6.84,93703.0,0.5,64.2 +82222,South Africa,2003,Parkinson's Disease,Chronic,2.9,9.04,8.41,19-35,Male,533630,71.08,0.89,5.06,Surgery,5326.0,No,67.24,1212.0,8.4,86455.0,0.61,23.52 +82224,South Africa,2013,Tuberculosis,Parasitic,7.48,8.38,0.48,61+,Female,272316,71.59,1.37,8.54,Medication,8213.0,No,57.45,893.0,6.93,19980.0,0.42,57.91 +82226,Argentina,2014,Cholera,Bacterial,7.32,12.94,2.56,36-60,Other,274301,87.4,2.82,4.72,Surgery,41244.0,No,82.11,885.0,5.97,73141.0,0.7,29.48 +82230,Saudi Arabia,2018,Zika,Metabolic,14.69,5.18,0.34,61+,Female,203098,91.4,4.8,9.34,Medication,44209.0,Yes,52.41,3081.0,6.74,98600.0,0.79,50.72 +82231,Turkey,2008,Rabies,Genetic,2.14,9.7,8.34,61+,Female,653788,64.66,3.07,6.06,Surgery,25743.0,No,93.37,1261.0,4.46,47039.0,0.46,38.49 +82232,Nigeria,2005,Rabies,Parasitic,14.08,1.77,1.0,19-35,Male,839160,56.4,2.05,6.99,Therapy,16349.0,No,58.47,1164.0,0.77,69077.0,0.61,60.43 +82233,India,2000,HIV/AIDS,Viral,2.36,6.43,5.81,19-35,Male,969953,72.82,1.69,4.44,Vaccination,30653.0,No,81.06,2247.0,2.72,45857.0,0.71,22.11 +82243,Indonesia,2021,Ebola,Bacterial,7.67,1.96,2.76,0-18,Male,942903,97.86,4.34,0.72,Therapy,8616.0,No,79.7,3465.0,3.59,78346.0,0.82,31.29 +82246,China,2008,HIV/AIDS,Bacterial,1.15,3.94,3.1,61+,Male,376787,70.8,4.9,6.24,Vaccination,776.0,No,61.77,4895.0,2.59,60777.0,0.78,66.86 +82248,Nigeria,2004,Hypertension,Cardiovascular,7.37,0.17,9.47,61+,Other,960939,78.11,0.54,4.33,Therapy,2196.0,No,84.9,531.0,4.9,71883.0,0.67,57.27 +82252,France,2009,Cancer,Neurological,9.05,4.82,9.85,19-35,Female,38336,99.23,3.32,7.01,Surgery,41891.0,Yes,73.48,1515.0,4.91,11980.0,0.55,72.91 +82256,Russia,2011,Ebola,Autoimmune,19.71,14.63,2.37,36-60,Male,219921,71.44,3.58,7.36,Therapy,42904.0,Yes,84.84,4139.0,2.37,50437.0,0.42,20.37 +82258,Italy,2001,Diabetes,Infectious,7.49,6.01,6.26,36-60,Other,410645,90.9,4.28,3.26,Surgery,32133.0,No,87.31,637.0,5.41,70437.0,0.63,28.11 +82263,South Africa,2009,Rabies,Genetic,19.47,4.83,9.28,36-60,Female,694220,84.82,4.67,7.17,Therapy,40432.0,Yes,93.49,2212.0,3.55,35087.0,0.76,30.69 +82271,Brazil,2013,Measles,Chronic,9.4,10.51,3.38,19-35,Female,848270,87.84,1.73,3.42,Therapy,14719.0,No,56.27,4573.0,3.31,11599.0,0.86,75.7 +82279,Australia,2010,Cancer,Parasitic,2.77,1.9,3.05,36-60,Female,544958,82.74,3.33,4.41,Surgery,34628.0,No,76.0,2153.0,9.47,60274.0,0.87,35.31 +82287,South Africa,2009,Malaria,Metabolic,7.33,4.17,7.31,0-18,Female,190467,69.67,0.79,0.95,Therapy,37116.0,No,77.8,400.0,0.41,23836.0,0.77,75.88 +82290,Indonesia,2023,Leprosy,Parasitic,6.88,7.33,8.37,61+,Male,899129,75.71,3.35,2.84,Medication,3867.0,No,73.05,2020.0,4.71,92699.0,0.6,52.93 +82291,Brazil,2010,Ebola,Respiratory,6.89,9.89,4.06,61+,Other,549339,60.2,4.59,7.69,Vaccination,30385.0,No,89.17,3273.0,8.57,89911.0,0.8,68.35 +82297,Italy,2024,Diabetes,Respiratory,19.4,5.85,5.92,19-35,Other,666268,67.4,3.34,0.64,Surgery,7561.0,No,81.96,2502.0,7.23,29319.0,0.63,65.98 +82299,Canada,2004,Zika,Parasitic,3.72,3.06,1.77,61+,Other,473548,50.49,2.58,2.17,Medication,7876.0,Yes,66.48,4815.0,2.29,86796.0,0.41,37.03 +82301,India,2001,Dengue,Metabolic,13.65,5.95,2.93,0-18,Female,509578,81.89,4.8,5.88,Surgery,4313.0,Yes,90.7,3854.0,3.43,57627.0,0.41,53.52 +82302,Japan,2004,Cancer,Autoimmune,10.47,1.16,7.75,61+,Male,843039,80.62,4.54,8.99,Medication,17687.0,Yes,80.58,3489.0,6.56,37543.0,0.62,63.96 +82305,India,2002,Rabies,Metabolic,4.35,7.83,1.08,61+,Female,945052,83.4,4.91,1.08,Therapy,18275.0,No,72.01,4656.0,2.05,91802.0,0.47,62.52 +82308,Nigeria,2002,Leprosy,Genetic,11.93,11.3,3.84,19-35,Male,246605,61.35,0.7,9.71,Therapy,40245.0,No,78.1,4928.0,0.82,9653.0,0.53,43.22 +82325,France,2023,HIV/AIDS,Genetic,16.0,10.26,8.61,36-60,Male,190226,90.9,2.82,7.07,Vaccination,9881.0,No,68.25,4525.0,0.19,50836.0,0.69,79.22 +82326,Brazil,2014,Influenza,Chronic,9.41,1.23,5.38,0-18,Male,797845,73.31,3.63,9.7,Surgery,19117.0,Yes,72.93,2560.0,0.22,79914.0,0.75,31.23 +82327,Turkey,2020,Diabetes,Infectious,16.11,4.42,7.2,19-35,Female,896603,58.85,1.9,7.26,Medication,49149.0,Yes,66.58,166.0,4.51,70085.0,0.77,45.19 +82328,South Korea,2010,Influenza,Respiratory,12.7,5.0,7.64,19-35,Other,389336,73.34,4.09,7.47,Medication,3276.0,No,94.04,7.0,8.6,20737.0,0.74,52.43 +82331,Indonesia,2023,Cancer,Neurological,9.41,2.66,6.93,36-60,Female,905478,57.69,4.13,8.69,Medication,16174.0,No,92.04,3578.0,8.06,54057.0,0.84,48.4 +82346,China,2009,Zika,Metabolic,12.67,1.77,0.36,36-60,Female,314639,76.69,1.28,5.51,Vaccination,25601.0,Yes,67.16,3499.0,9.77,6187.0,0.55,59.9 +82347,Germany,2024,HIV/AIDS,Genetic,10.87,14.66,1.51,0-18,Male,129143,71.21,3.53,5.21,Surgery,19627.0,Yes,93.97,1655.0,1.27,6569.0,0.41,53.19 +82353,South Korea,2000,Hepatitis,Infectious,11.66,8.62,3.42,61+,Male,944343,80.8,3.3,6.32,Medication,37765.0,No,92.45,3477.0,3.13,60646.0,0.46,43.93 +82357,South Africa,2011,Rabies,Genetic,1.93,3.52,9.53,36-60,Female,215003,84.96,3.03,0.93,Therapy,41906.0,Yes,50.16,3006.0,8.56,80835.0,0.55,51.92 +82361,Germany,2004,Leprosy,Metabolic,5.78,9.66,7.37,61+,Female,622426,93.91,3.81,5.46,Surgery,36296.0,No,55.59,1743.0,0.22,952.0,0.68,44.87 +82365,UK,2017,Cancer,Viral,5.05,1.08,2.93,19-35,Male,294793,97.49,1.54,3.83,Therapy,46458.0,No,88.67,4003.0,4.69,42935.0,0.84,55.19 +82366,Brazil,2000,Malaria,Respiratory,2.91,9.83,9.99,36-60,Female,92293,79.2,3.01,0.78,Medication,31856.0,No,53.12,4024.0,3.06,40166.0,0.47,47.37 +82387,Turkey,2024,Alzheimer's Disease,Bacterial,7.08,11.21,4.62,36-60,Female,456063,79.37,0.77,9.75,Vaccination,4747.0,Yes,63.58,4863.0,9.69,63714.0,0.85,35.34 +82389,Russia,2006,Ebola,Bacterial,15.63,6.52,6.58,36-60,Other,691907,53.95,0.89,7.52,Vaccination,24028.0,Yes,71.38,199.0,2.6,41233.0,0.78,59.78 +82390,Brazil,2006,Diabetes,Parasitic,15.76,7.39,5.8,36-60,Male,286320,62.53,4.93,2.24,Surgery,5420.0,No,65.37,861.0,2.76,97079.0,0.64,25.7 +82393,Indonesia,2015,Hypertension,Metabolic,10.82,8.26,5.58,36-60,Male,775062,61.48,4.16,7.58,Medication,41154.0,No,86.38,3480.0,1.49,47381.0,0.66,23.17 +82398,Australia,2016,Cholera,Parasitic,3.73,7.14,0.97,36-60,Other,348181,74.79,2.35,8.13,Therapy,16909.0,Yes,80.33,2679.0,7.81,80441.0,0.59,39.14 +82399,UK,2010,Measles,Respiratory,0.72,12.32,1.06,0-18,Female,214922,91.36,3.72,7.94,Surgery,35263.0,Yes,77.73,777.0,8.96,17169.0,0.68,38.86 +82402,Indonesia,2012,Influenza,Autoimmune,4.57,14.28,8.2,19-35,Female,126942,53.74,1.2,3.11,Medication,28585.0,No,98.18,450.0,7.04,41095.0,0.61,44.95 +82403,Saudi Arabia,2022,Hypertension,Autoimmune,7.49,10.9,5.79,0-18,Other,425345,96.1,3.06,7.26,Surgery,22796.0,Yes,57.29,4752.0,8.44,6591.0,0.51,84.8 +82411,Australia,2019,Malaria,Viral,1.18,14.78,8.78,19-35,Male,593199,96.93,4.49,5.25,Medication,24863.0,No,68.72,430.0,8.65,98454.0,0.86,45.24 +82413,Italy,2000,Polio,Chronic,15.8,13.08,4.81,0-18,Other,448252,64.53,0.52,9.14,Vaccination,6284.0,No,75.07,921.0,4.32,43887.0,0.59,77.6 +82426,Japan,2005,Leprosy,Chronic,2.37,4.85,5.06,19-35,Male,581574,87.48,4.57,7.52,Therapy,4376.0,No,98.14,2096.0,9.9,41253.0,0.78,40.59 +82433,France,2019,Influenza,Neurological,9.3,9.86,6.57,0-18,Other,470319,98.51,4.98,6.19,Therapy,11888.0,Yes,65.41,4884.0,2.3,21990.0,0.82,37.06 +82435,Brazil,2022,COVID-19,Cardiovascular,6.75,2.05,5.92,36-60,Other,440057,87.47,3.91,3.88,Therapy,15073.0,Yes,54.29,4562.0,8.55,70289.0,0.54,62.41 +82443,Italy,2000,Parkinson's Disease,Infectious,7.43,7.59,9.39,19-35,Male,635319,99.25,4.28,3.99,Therapy,11158.0,Yes,94.67,2956.0,3.66,79970.0,0.88,49.58 +82445,Indonesia,2000,Cancer,Viral,8.21,13.43,0.64,0-18,Female,574222,81.7,3.01,8.78,Medication,34098.0,No,79.51,3812.0,1.34,79265.0,0.76,23.86 +82446,Turkey,2015,Measles,Chronic,6.68,4.1,8.3,19-35,Female,13359,71.23,3.16,9.65,Therapy,25557.0,No,98.29,1123.0,8.92,98883.0,0.87,46.33 +82457,Australia,2016,HIV/AIDS,Bacterial,18.08,11.83,1.26,0-18,Male,666273,71.62,2.44,1.76,Surgery,45261.0,Yes,63.85,1325.0,6.17,70884.0,0.76,75.5 +82463,Australia,2005,Measles,Metabolic,15.25,5.69,5.51,61+,Male,347359,94.37,4.23,7.52,Therapy,49989.0,Yes,71.52,3418.0,7.71,36132.0,0.67,21.3 +82464,Turkey,2024,Malaria,Neurological,4.82,7.29,4.7,36-60,Male,607752,54.6,2.32,4.08,Vaccination,41435.0,No,67.82,3216.0,3.09,84660.0,0.86,69.55 +82478,Japan,2017,Diabetes,Parasitic,4.6,4.31,5.41,0-18,Female,137905,79.26,2.08,1.16,Surgery,9392.0,Yes,87.29,690.0,8.13,97807.0,0.56,31.66 +82482,Australia,2001,Malaria,Respiratory,0.44,6.92,2.05,36-60,Other,972185,60.47,4.94,1.97,Therapy,45715.0,No,51.32,3538.0,2.72,44074.0,0.4,41.73 +82491,Italy,2013,Parkinson's Disease,Metabolic,2.31,13.82,4.65,61+,Female,477676,66.05,0.72,9.21,Surgery,13863.0,Yes,75.82,1607.0,3.43,7868.0,0.65,41.46 +82493,France,2021,Cholera,Cardiovascular,8.66,13.64,8.71,36-60,Female,839774,80.56,1.5,1.0,Medication,18810.0,No,78.15,618.0,2.08,35628.0,0.75,67.12 +82496,Turkey,2005,Cholera,Bacterial,13.7,0.7,7.93,36-60,Female,690612,86.55,4.2,2.1,Therapy,36085.0,No,73.06,431.0,7.99,50662.0,0.47,41.81 +82517,Russia,2009,Malaria,Chronic,13.48,11.41,8.75,36-60,Female,943906,57.25,1.25,9.79,Vaccination,36847.0,No,53.57,624.0,8.15,90912.0,0.76,64.06 +82522,Nigeria,2014,Ebola,Bacterial,6.23,11.28,6.01,61+,Female,710686,88.83,2.86,3.35,Therapy,15415.0,No,61.86,1353.0,9.75,9487.0,0.53,41.54 +82524,South Korea,2001,Alzheimer's Disease,Parasitic,15.27,12.25,9.07,61+,Female,592829,87.84,4.39,4.13,Surgery,43877.0,No,67.6,3539.0,9.44,1381.0,0.56,66.21 +82528,Russia,2018,Asthma,Respiratory,6.93,12.21,7.19,36-60,Female,100054,56.99,2.67,4.9,Medication,11511.0,Yes,85.57,4203.0,8.89,8490.0,0.83,47.96 +82529,Saudi Arabia,2016,Hepatitis,Respiratory,9.17,0.67,5.62,19-35,Female,64837,95.92,4.86,2.94,Vaccination,4790.0,Yes,95.19,4778.0,9.4,54318.0,0.6,43.33 +82530,Nigeria,2011,Ebola,Chronic,0.53,9.0,1.05,0-18,Other,103664,84.97,1.63,4.08,Surgery,16146.0,Yes,76.31,4296.0,1.28,90357.0,0.83,60.41 +82533,Russia,2021,Polio,Cardiovascular,4.37,11.2,6.68,61+,Other,530374,70.27,2.75,2.73,Vaccination,4300.0,No,55.78,1615.0,6.03,56766.0,0.51,74.55 +82538,Canada,2013,Tuberculosis,Infectious,14.0,14.54,6.94,0-18,Other,72266,51.84,4.0,3.98,Surgery,20534.0,No,87.24,4225.0,0.47,89951.0,0.74,42.94 +82543,China,2012,Asthma,Infectious,2.41,12.59,7.94,19-35,Female,588826,68.05,2.78,7.23,Therapy,28422.0,Yes,58.26,4547.0,4.12,86039.0,0.56,25.51 +82546,Japan,2018,Polio,Genetic,4.87,7.38,6.85,36-60,Other,539183,60.37,4.92,4.44,Therapy,14824.0,No,95.56,590.0,2.4,21444.0,0.79,63.33 +82556,Turkey,2002,Asthma,Viral,14.26,13.58,5.52,0-18,Male,674431,54.29,3.57,2.0,Vaccination,40873.0,No,91.92,2605.0,8.41,63105.0,0.46,43.9 +82561,Germany,2001,Rabies,Chronic,14.65,12.39,3.35,0-18,Male,604771,98.57,2.85,9.49,Therapy,46247.0,Yes,53.72,2343.0,3.56,37002.0,0.7,50.47 +82577,USA,2014,Cholera,Metabolic,0.86,2.45,4.0,19-35,Male,997127,85.71,3.6,4.91,Medication,27398.0,Yes,57.81,3320.0,9.59,43579.0,0.54,36.77 +82594,Mexico,2001,Hypertension,Cardiovascular,7.12,10.93,4.73,36-60,Other,218941,77.19,3.11,1.55,Vaccination,24416.0,No,68.28,2167.0,2.74,45041.0,0.58,77.41 +82595,Italy,2005,Diabetes,Genetic,14.34,2.18,4.04,19-35,Female,177769,63.63,4.47,7.72,Vaccination,46361.0,Yes,75.71,4133.0,1.77,86267.0,0.83,33.22 +82597,Canada,2008,Malaria,Bacterial,1.61,6.02,0.39,36-60,Female,890949,61.57,3.61,3.07,Medication,20782.0,No,90.34,3354.0,4.17,90541.0,0.73,82.08 +82602,Nigeria,2022,Diabetes,Parasitic,1.71,8.99,5.21,19-35,Female,255217,55.57,4.77,8.81,Surgery,32524.0,No,59.94,4304.0,1.69,91274.0,0.75,44.11 +82605,Turkey,2005,COVID-19,Parasitic,3.92,1.2,3.06,61+,Other,235217,90.47,2.89,2.33,Surgery,42392.0,No,87.73,3336.0,3.52,575.0,0.68,76.11 +82608,UK,2000,Rabies,Viral,13.94,3.42,1.5,19-35,Male,924408,89.81,2.97,3.6,Vaccination,22057.0,No,86.53,4606.0,3.37,94870.0,0.66,21.36 +82610,India,2012,Ebola,Bacterial,17.16,0.12,1.29,19-35,Other,742684,95.66,2.47,8.3,Vaccination,48275.0,Yes,79.34,949.0,6.22,35290.0,0.74,64.95 +82613,Germany,2004,COVID-19,Respiratory,7.84,8.12,4.45,61+,Male,535389,70.08,4.72,5.26,Medication,13248.0,Yes,91.79,4784.0,5.66,82835.0,0.54,63.13 +82616,Germany,2003,Hepatitis,Cardiovascular,11.13,2.72,5.55,61+,Female,718619,91.73,3.82,3.24,Therapy,19248.0,Yes,64.84,4560.0,8.63,32682.0,0.44,88.23 +82620,Australia,2006,Leprosy,Infectious,7.71,14.34,4.5,0-18,Female,989542,68.54,1.82,3.14,Medication,46813.0,Yes,91.31,4293.0,6.04,81312.0,0.45,49.44 +82621,Turkey,2022,Malaria,Metabolic,15.87,3.13,9.88,61+,Female,448497,87.53,0.71,0.53,Medication,47275.0,No,54.02,777.0,8.87,36121.0,0.66,79.96 +82627,Germany,2010,Tuberculosis,Infectious,8.29,3.28,9.5,19-35,Female,421419,78.77,0.59,1.65,Vaccination,8955.0,No,73.1,4812.0,8.2,38496.0,0.78,62.69 +82629,South Korea,2013,Tuberculosis,Infectious,18.98,14.57,1.29,36-60,Male,292732,52.25,2.6,8.55,Medication,18415.0,Yes,52.62,4372.0,6.79,96580.0,0.42,47.56 +82636,Germany,2014,Cholera,Neurological,8.51,4.84,7.15,19-35,Other,127084,67.75,3.04,9.38,Surgery,47611.0,No,87.93,3667.0,6.74,44494.0,0.54,81.63 +82637,Mexico,2016,Leprosy,Parasitic,15.16,1.0,8.51,0-18,Other,124846,56.9,3.71,7.09,Medication,32158.0,No,66.67,10.0,5.31,85946.0,0.44,61.24 +82646,South Korea,2022,Dengue,Parasitic,11.05,13.72,4.94,0-18,Male,259193,74.82,4.53,3.42,Therapy,37736.0,Yes,72.34,853.0,9.18,14081.0,0.68,60.52 +82653,Germany,2016,Influenza,Cardiovascular,1.74,6.72,9.79,19-35,Female,703336,83.63,4.59,9.16,Vaccination,46913.0,No,52.33,4635.0,6.61,91510.0,0.57,57.8 +82660,South Korea,2003,Malaria,Autoimmune,2.25,2.6,4.25,0-18,Female,661326,90.02,4.42,2.21,Vaccination,5815.0,Yes,57.16,4032.0,0.79,18655.0,0.64,35.2 +82663,South Africa,2023,Leprosy,Parasitic,4.27,11.72,0.15,19-35,Male,770128,70.58,3.13,5.59,Therapy,15737.0,No,63.34,4612.0,1.06,48388.0,0.88,51.75 +82665,UK,2009,Diabetes,Chronic,18.72,7.1,6.23,0-18,Other,80074,54.59,3.74,8.16,Medication,32784.0,No,57.51,3438.0,4.66,78262.0,0.42,80.5 +82682,UK,2003,Influenza,Chronic,17.29,3.48,6.62,61+,Female,706107,63.03,2.43,5.29,Medication,28468.0,No,53.72,454.0,5.56,11808.0,0.49,53.49 +82686,Japan,2009,Influenza,Cardiovascular,3.06,5.05,4.52,19-35,Female,782182,95.61,4.75,5.04,Medication,43210.0,Yes,65.42,2634.0,1.44,76921.0,0.44,36.38 +82690,USA,2003,Cancer,Viral,10.41,2.67,2.1,0-18,Other,270953,81.17,0.88,6.06,Therapy,25538.0,No,69.51,4098.0,7.57,48060.0,0.47,29.45 +82693,Brazil,2024,Rabies,Bacterial,7.35,7.1,4.01,19-35,Male,579682,50.6,2.7,4.4,Therapy,30509.0,Yes,57.19,4907.0,4.95,54363.0,0.49,53.15 +82697,Australia,2009,Parkinson's Disease,Infectious,5.55,12.35,1.63,61+,Other,159906,62.01,3.66,8.44,Surgery,45779.0,Yes,58.3,1211.0,3.22,49613.0,0.7,37.04 +82706,Turkey,2007,Parkinson's Disease,Autoimmune,15.33,3.02,1.74,19-35,Other,45277,76.47,2.92,9.94,Therapy,2300.0,Yes,97.18,4309.0,5.12,2940.0,0.44,25.95 +82717,Saudi Arabia,2021,Alzheimer's Disease,Bacterial,5.41,8.29,1.22,19-35,Other,827119,88.12,3.16,8.17,Medication,2488.0,No,68.72,4960.0,5.65,83724.0,0.56,37.19 +82720,Mexico,2018,Rabies,Parasitic,14.12,10.03,0.64,19-35,Other,584821,68.37,1.01,0.73,Medication,40331.0,No,73.02,4821.0,0.55,88480.0,0.85,86.71 +82726,Nigeria,2000,Malaria,Autoimmune,3.57,14.75,8.06,61+,Male,699492,97.67,4.49,2.6,Vaccination,15695.0,Yes,64.03,4138.0,4.32,22254.0,0.47,87.43 +82733,USA,2010,Influenza,Autoimmune,5.44,1.77,0.18,61+,Female,486318,67.18,1.66,3.74,Medication,1163.0,Yes,94.69,2888.0,8.44,90419.0,0.88,33.62 +82734,France,2005,Tuberculosis,Chronic,12.35,9.11,4.86,61+,Male,104529,80.64,0.61,4.65,Vaccination,43702.0,No,58.68,1098.0,8.32,29403.0,0.69,57.15 +82736,Canada,2019,Diabetes,Infectious,7.28,5.42,9.52,61+,Female,920008,58.28,1.17,4.74,Vaccination,49440.0,No,70.23,694.0,5.16,11665.0,0.71,60.16 +82743,China,2002,HIV/AIDS,Viral,15.98,5.86,7.64,61+,Male,418914,81.77,1.2,1.42,Therapy,3398.0,Yes,82.8,4005.0,0.0,90613.0,0.72,72.12 +82758,France,2003,Leprosy,Autoimmune,14.33,11.0,4.03,36-60,Male,947964,71.21,0.98,2.64,Medication,17444.0,No,61.24,1731.0,6.41,70051.0,0.87,73.26 +82772,Japan,2005,Hypertension,Autoimmune,2.95,6.83,8.83,61+,Female,235347,51.83,4.07,6.72,Therapy,43711.0,No,88.21,2843.0,7.18,68499.0,0.55,85.8 +82774,Italy,2012,Hepatitis,Chronic,18.1,4.59,6.21,19-35,Male,622568,88.1,4.52,8.03,Vaccination,40872.0,No,84.97,2102.0,5.02,72503.0,0.72,33.47 +82788,UK,2014,Zika,Autoimmune,19.19,9.81,6.08,61+,Other,460529,53.06,1.47,5.44,Vaccination,41268.0,Yes,98.72,878.0,1.35,58914.0,0.57,86.92 +82794,India,2005,Polio,Metabolic,3.53,3.17,4.33,0-18,Female,63277,51.97,2.95,2.99,Medication,43373.0,No,87.37,2631.0,0.14,11731.0,0.43,30.13 +82798,Brazil,2015,Measles,Cardiovascular,13.3,4.65,8.62,36-60,Other,400300,61.77,4.03,0.63,Surgery,12014.0,Yes,79.29,1719.0,2.04,72313.0,0.78,57.41 +82803,Russia,2008,Tuberculosis,Cardiovascular,1.25,11.2,4.36,0-18,Female,576393,83.2,3.39,8.51,Medication,19505.0,No,77.76,1193.0,0.78,16508.0,0.67,88.31 +82811,Germany,2008,Leprosy,Genetic,2.1,5.84,7.72,61+,Other,18975,96.07,2.58,2.14,Medication,24789.0,Yes,78.97,2480.0,9.73,69836.0,0.8,68.63 +82822,Brazil,2020,Hypertension,Metabolic,4.95,0.88,3.28,0-18,Male,912023,90.92,2.36,1.94,Therapy,42840.0,Yes,72.1,3796.0,4.39,46261.0,0.66,69.52 +82823,Italy,2006,Malaria,Neurological,9.8,1.33,8.93,0-18,Other,605773,67.37,1.09,1.57,Surgery,43809.0,Yes,53.98,3241.0,1.79,19062.0,0.65,78.95 +82827,Canada,2017,Rabies,Parasitic,5.01,4.65,7.67,61+,Female,813949,78.77,4.75,5.48,Medication,1686.0,No,63.36,1229.0,5.38,19503.0,0.71,39.21 +82828,Japan,2012,COVID-19,Bacterial,8.22,9.67,8.96,0-18,Other,75257,93.43,2.07,5.7,Vaccination,35896.0,Yes,93.48,3886.0,0.79,55396.0,0.74,29.0 +82829,Russia,2002,Leprosy,Chronic,1.82,1.66,7.66,0-18,Male,471424,69.87,0.85,1.07,Vaccination,10448.0,No,70.15,2755.0,9.7,64805.0,0.72,60.72 +82845,UK,2019,Hepatitis,Metabolic,2.02,7.68,8.41,36-60,Female,483006,53.47,2.5,4.57,Therapy,46528.0,Yes,80.76,68.0,0.55,35712.0,0.55,82.31 +82849,Japan,2002,Dengue,Neurological,5.37,0.75,5.97,19-35,Female,691504,56.69,1.16,7.16,Medication,42089.0,No,57.62,2686.0,1.79,27809.0,0.64,51.05 +82851,Germany,2016,Hypertension,Respiratory,17.03,12.18,2.55,36-60,Male,292926,55.81,1.29,3.06,Therapy,48751.0,Yes,77.03,3963.0,4.74,79165.0,0.6,66.99 +82855,Mexico,2024,Ebola,Viral,12.74,3.85,0.64,19-35,Female,867278,87.23,3.28,3.34,Surgery,6643.0,Yes,62.56,1257.0,4.21,11099.0,0.64,28.76 +82861,South Korea,2020,Malaria,Parasitic,11.83,2.17,5.01,36-60,Female,543420,80.73,3.52,9.5,Therapy,28887.0,No,65.79,1397.0,1.91,87900.0,0.42,31.46 +82862,Argentina,2017,Ebola,Autoimmune,14.08,12.7,3.1,19-35,Other,130544,56.48,3.15,2.54,Therapy,34538.0,Yes,65.01,2948.0,5.19,39293.0,0.7,27.44 +82876,South Korea,2010,HIV/AIDS,Bacterial,8.88,1.2,5.93,19-35,Male,119882,70.11,1.51,5.1,Therapy,17541.0,Yes,67.9,728.0,9.15,51227.0,0.67,83.89 +82877,UK,2021,Ebola,Metabolic,18.03,5.78,6.98,19-35,Male,756435,91.64,4.7,5.43,Therapy,776.0,Yes,55.61,1520.0,9.38,97061.0,0.54,65.79 +82878,South Korea,2023,Diabetes,Chronic,2.26,12.45,3.94,36-60,Female,993003,93.4,3.53,7.6,Therapy,20825.0,Yes,56.78,124.0,8.88,19906.0,0.84,88.98 +82886,Russia,2008,Zika,Bacterial,7.66,7.75,8.0,0-18,Other,848399,79.62,0.97,2.9,Therapy,29008.0,No,64.83,2198.0,0.84,83078.0,0.44,35.22 +82892,Japan,2009,Tuberculosis,Cardiovascular,10.49,14.7,7.63,0-18,Male,42061,71.8,2.43,3.76,Therapy,11119.0,No,85.41,461.0,6.84,33476.0,0.77,52.29 +82907,Germany,2008,Tuberculosis,Parasitic,16.63,4.16,9.83,0-18,Male,784651,57.59,3.55,5.81,Surgery,13859.0,No,85.68,4347.0,4.51,13295.0,0.54,25.26 +82910,France,2005,Cholera,Infectious,16.35,0.55,1.92,19-35,Other,92559,75.55,1.55,6.33,Medication,38738.0,Yes,82.22,130.0,7.32,79833.0,0.45,33.8 +82920,Germany,2013,Leprosy,Bacterial,18.96,4.16,5.66,0-18,Male,619175,66.36,3.3,3.43,Surgery,33859.0,No,66.11,1913.0,2.96,53104.0,0.44,43.75 +82932,Nigeria,2000,Parkinson's Disease,Autoimmune,16.89,10.61,1.17,19-35,Male,348919,82.53,2.12,8.14,Therapy,18499.0,No,64.02,1777.0,0.94,26295.0,0.78,78.06 +82939,Nigeria,2001,Tuberculosis,Chronic,14.0,6.0,8.67,0-18,Other,700535,50.24,3.06,6.39,Surgery,37154.0,Yes,69.42,2526.0,0.09,5230.0,0.43,78.81 +82944,Canada,2017,Cholera,Chronic,10.4,14.49,2.85,0-18,Male,157369,66.87,2.33,4.93,Therapy,31779.0,No,51.42,2066.0,5.66,51915.0,0.79,38.71 +82951,Italy,2001,Measles,Genetic,17.28,4.86,5.31,36-60,Male,566372,68.03,1.38,8.83,Therapy,37528.0,No,68.25,3696.0,8.81,13801.0,0.71,72.89 +82952,USA,2021,Rabies,Parasitic,14.02,5.94,6.5,0-18,Other,926202,82.94,2.6,8.75,Vaccination,43677.0,Yes,72.82,2670.0,4.32,20174.0,0.47,79.81 +82973,South Africa,2003,Dengue,Autoimmune,19.77,8.28,0.63,19-35,Female,25554,58.1,4.66,7.57,Vaccination,49845.0,No,55.51,1052.0,8.79,35961.0,0.89,72.85 +82974,Mexico,2013,Leprosy,Parasitic,18.84,0.58,7.11,0-18,Other,343648,67.7,4.21,2.1,Vaccination,25075.0,Yes,64.32,4837.0,1.4,56301.0,0.73,65.35 +82984,Australia,2023,Influenza,Autoimmune,5.32,1.41,8.42,19-35,Other,374310,89.99,4.59,2.5,Vaccination,43718.0,No,76.54,3675.0,9.83,17336.0,0.57,45.13 +82988,Canada,2008,Leprosy,Autoimmune,16.9,7.11,4.97,36-60,Other,874579,70.16,4.55,9.09,Therapy,12307.0,Yes,53.86,3562.0,3.74,26360.0,0.71,67.33 +82992,USA,2001,Asthma,Chronic,1.88,14.3,6.48,19-35,Other,341047,71.43,0.77,3.55,Therapy,14259.0,Yes,56.17,1681.0,7.02,47117.0,0.62,55.29 +82996,Mexico,2011,Zika,Genetic,12.99,12.91,9.97,0-18,Male,549521,66.46,0.76,8.05,Therapy,8132.0,Yes,88.73,467.0,1.86,93784.0,0.5,48.7 +82999,India,2016,Parkinson's Disease,Infectious,12.77,7.57,1.82,19-35,Female,691904,68.51,4.0,5.18,Medication,8539.0,Yes,89.66,1061.0,6.56,75922.0,0.59,38.89 +83000,Brazil,2005,Leprosy,Neurological,4.43,0.4,8.39,36-60,Female,90914,83.74,0.84,4.68,Medication,28162.0,Yes,65.73,3483.0,5.3,58974.0,0.62,82.12 +83002,Italy,2013,Diabetes,Metabolic,0.14,2.83,0.96,61+,Other,276948,90.62,1.46,9.93,Medication,13912.0,Yes,57.76,2148.0,2.44,30559.0,0.85,82.38 +83006,Brazil,2008,Cholera,Viral,3.29,8.63,1.6,36-60,Other,851677,61.83,1.03,5.51,Therapy,49150.0,Yes,54.69,497.0,7.72,31539.0,0.76,62.57 +83008,Brazil,2009,Malaria,Neurological,14.1,14.17,2.37,0-18,Other,757690,67.38,2.31,2.59,Medication,46482.0,Yes,74.48,4162.0,7.95,38270.0,0.42,75.07 +83009,Brazil,2019,COVID-19,Viral,12.66,1.65,1.2,19-35,Male,889171,67.88,4.8,6.16,Vaccination,39463.0,Yes,83.27,786.0,8.79,77825.0,0.47,27.56 +83012,Australia,2011,Parkinson's Disease,Parasitic,13.38,2.94,6.0,61+,Female,737481,69.57,1.24,1.66,Therapy,12728.0,No,53.17,1148.0,7.64,33771.0,0.87,34.78 +83016,Brazil,2015,Hypertension,Autoimmune,4.57,8.55,8.52,36-60,Other,376839,77.12,3.66,7.02,Surgery,10367.0,No,66.92,463.0,0.66,28328.0,0.42,49.28 +83018,South Korea,2023,Hypertension,Viral,6.51,4.94,1.97,19-35,Male,298563,81.68,4.55,2.06,Vaccination,43630.0,No,81.89,1316.0,5.89,60200.0,0.46,88.36 +83023,Mexico,2001,Leprosy,Respiratory,16.94,5.68,2.68,0-18,Other,322173,92.29,1.96,1.01,Vaccination,12038.0,Yes,87.08,4438.0,3.66,71280.0,0.6,53.66 +83032,Australia,2015,Rabies,Genetic,17.67,12.65,0.67,0-18,Other,770893,83.73,1.74,4.28,Medication,41941.0,No,85.49,3759.0,6.95,29336.0,0.69,86.3 +83033,France,2006,Rabies,Chronic,9.36,9.32,9.99,19-35,Female,512600,66.94,3.84,1.01,Medication,39428.0,No,86.08,2685.0,5.48,61045.0,0.84,33.3 +83035,Russia,2020,Tuberculosis,Autoimmune,12.87,13.24,6.76,19-35,Male,504716,50.64,2.96,8.45,Therapy,27043.0,Yes,94.69,2594.0,1.2,41715.0,0.86,27.34 +83045,China,2014,Diabetes,Bacterial,14.98,2.2,5.48,0-18,Other,347842,79.65,1.93,3.18,Vaccination,42478.0,No,82.93,637.0,1.41,74471.0,0.79,22.29 +83057,Italy,2021,Asthma,Parasitic,10.51,1.5,0.35,0-18,Other,952472,76.25,0.68,7.97,Surgery,30648.0,Yes,73.94,4591.0,8.37,63023.0,0.59,84.76 +83060,Brazil,2010,Malaria,Parasitic,7.31,10.73,3.9,61+,Female,75208,72.25,3.92,7.51,Surgery,43893.0,Yes,75.48,836.0,6.1,85618.0,0.61,30.16 +83068,Japan,2000,Cholera,Parasitic,2.0,11.92,8.03,36-60,Male,969495,65.19,1.71,8.51,Vaccination,42705.0,No,79.78,2524.0,4.57,14194.0,0.49,84.2 +83079,Germany,2021,Rabies,Respiratory,15.9,1.97,0.66,61+,Male,507775,99.23,4.67,3.38,Surgery,4891.0,Yes,74.86,306.0,5.48,7930.0,0.42,53.54 +83081,Indonesia,2024,Polio,Cardiovascular,18.5,6.89,7.11,36-60,Other,641397,77.0,2.69,7.3,Surgery,41342.0,No,72.0,2465.0,6.43,63886.0,0.4,44.61 +83082,Argentina,2003,Alzheimer's Disease,Chronic,0.25,3.37,6.56,19-35,Female,989350,71.2,3.61,7.55,Therapy,25045.0,Yes,70.62,4282.0,9.51,13876.0,0.42,25.78 +83086,South Africa,2023,Hypertension,Respiratory,11.85,9.49,5.43,36-60,Other,248936,65.18,0.58,5.48,Surgery,45994.0,Yes,83.8,3892.0,1.23,54284.0,0.5,61.13 +83091,Nigeria,2024,Cancer,Chronic,1.89,5.92,2.24,0-18,Male,539705,66.73,4.95,2.87,Surgery,24911.0,Yes,68.81,2342.0,6.92,45052.0,0.77,83.97 +83092,Germany,2023,Measles,Neurological,15.26,10.43,8.0,0-18,Other,615335,69.23,4.84,5.29,Surgery,12497.0,No,66.45,486.0,3.69,48014.0,0.71,30.57 +83094,Germany,2000,Ebola,Respiratory,11.93,0.95,0.86,36-60,Female,362003,76.86,2.57,8.66,Surgery,17636.0,Yes,67.85,4575.0,1.12,96837.0,0.8,42.37 +83099,UK,2020,Ebola,Respiratory,3.69,0.37,6.66,19-35,Other,991446,86.51,2.45,6.69,Surgery,40568.0,No,93.86,2432.0,5.6,85262.0,0.76,55.72 +83102,South Korea,2021,Hepatitis,Bacterial,15.16,14.9,1.83,19-35,Female,825616,77.79,0.67,0.96,Surgery,18975.0,No,61.93,2181.0,6.69,95920.0,0.63,21.41 +83109,UK,2012,Alzheimer's Disease,Neurological,0.19,13.04,5.32,61+,Male,508095,90.78,3.07,2.68,Therapy,23685.0,No,79.2,2793.0,2.65,30925.0,0.66,33.97 +83121,Mexico,2015,Hepatitis,Parasitic,19.15,14.15,2.18,61+,Male,74016,77.73,4.99,5.87,Medication,45670.0,No,69.11,3410.0,2.79,21469.0,0.43,21.52 +83122,China,2011,Tuberculosis,Autoimmune,10.51,14.42,0.51,36-60,Male,352140,66.54,3.18,9.44,Medication,38424.0,Yes,86.71,1485.0,0.27,26853.0,0.71,78.58 +83138,India,2015,Zika,Parasitic,19.3,2.32,2.72,61+,Other,87035,86.01,2.68,2.04,Surgery,29900.0,No,62.04,2337.0,7.04,56539.0,0.72,27.71 +83164,Italy,2007,Malaria,Autoimmune,16.43,3.92,4.74,19-35,Female,243462,98.2,2.12,5.22,Medication,1014.0,No,81.78,419.0,1.2,37157.0,0.67,78.87 +83166,Japan,2009,Tuberculosis,Cardiovascular,13.37,2.72,2.61,0-18,Male,201135,52.33,2.88,5.95,Vaccination,2051.0,Yes,86.33,839.0,9.88,86509.0,0.69,26.8 +83182,China,2002,HIV/AIDS,Autoimmune,3.72,0.95,8.95,19-35,Female,878243,88.9,0.73,8.48,Medication,13145.0,Yes,77.79,1090.0,2.65,91248.0,0.45,22.91 +83194,UK,2004,Tuberculosis,Infectious,15.68,11.65,6.53,61+,Other,33015,99.4,3.61,5.36,Medication,40874.0,Yes,91.96,2240.0,9.8,15683.0,0.63,52.77 +83221,Canada,2003,Leprosy,Bacterial,3.4,14.33,6.15,36-60,Other,558795,92.94,0.96,6.66,Medication,13667.0,Yes,97.44,3154.0,0.73,75454.0,0.63,80.43 +83231,South Africa,2020,Asthma,Neurological,9.73,12.52,6.79,0-18,Male,758070,63.83,2.05,2.61,Surgery,6262.0,Yes,60.5,494.0,6.15,29796.0,0.5,40.87 +83247,India,2009,Alzheimer's Disease,Viral,3.81,0.53,7.42,19-35,Male,697112,63.65,2.03,6.65,Surgery,30030.0,Yes,62.15,153.0,9.56,47626.0,0.5,84.92 +83254,Mexico,2002,Zika,Cardiovascular,4.39,4.93,1.32,36-60,Male,356078,71.32,4.6,1.88,Surgery,10626.0,Yes,61.94,1356.0,2.61,39046.0,0.67,47.95 +83263,Saudi Arabia,2024,Hypertension,Viral,7.42,9.43,3.28,36-60,Female,48392,91.2,3.85,6.56,Therapy,3305.0,Yes,63.59,4842.0,8.86,3239.0,0.56,82.43 +83267,Italy,2015,Malaria,Neurological,4.69,3.09,2.56,36-60,Male,832226,50.84,0.93,4.08,Surgery,16839.0,Yes,53.13,2629.0,4.01,96500.0,0.77,30.41 +83270,China,2019,Leprosy,Viral,12.61,2.65,9.13,19-35,Male,51000,86.25,2.58,4.23,Therapy,27467.0,Yes,78.99,4576.0,6.41,87750.0,0.82,80.59 +83272,Argentina,2011,Measles,Autoimmune,1.89,5.77,5.37,36-60,Other,376214,56.45,2.01,2.29,Vaccination,33623.0,No,89.78,3366.0,0.32,49405.0,0.59,39.02 +83277,Japan,2002,HIV/AIDS,Infectious,3.15,2.85,4.61,36-60,Female,546357,61.97,3.47,9.51,Therapy,33474.0,No,65.05,75.0,2.38,42669.0,0.61,66.25 +83282,Germany,2014,Cholera,Autoimmune,16.08,10.86,3.66,0-18,Other,908317,66.41,1.31,7.29,Therapy,23228.0,No,54.84,4119.0,1.57,84316.0,0.42,70.86 +83286,Turkey,2015,Parkinson's Disease,Neurological,3.61,8.91,7.21,61+,Male,77871,75.81,0.58,6.83,Surgery,5423.0,Yes,88.9,718.0,5.43,12880.0,0.61,55.59 +83289,Italy,2001,Diabetes,Chronic,19.11,9.95,6.43,19-35,Other,193699,78.65,4.85,5.41,Medication,400.0,No,58.03,4687.0,4.28,92843.0,0.49,29.24 +83290,USA,2023,COVID-19,Infectious,4.87,8.34,9.28,61+,Male,252559,61.43,4.69,9.82,Therapy,49974.0,Yes,57.32,247.0,1.15,80968.0,0.89,76.92 +83299,South Africa,2009,Asthma,Bacterial,15.95,0.5,7.01,61+,Other,792907,54.43,3.34,4.45,Medication,37601.0,Yes,94.09,939.0,9.55,15068.0,0.54,37.49 +83300,Indonesia,2008,HIV/AIDS,Genetic,3.17,13.44,7.56,36-60,Female,374828,57.62,4.3,6.62,Therapy,35757.0,Yes,83.01,4973.0,3.38,15106.0,0.88,54.04 +83313,Turkey,2012,Cancer,Neurological,12.08,11.3,1.48,36-60,Other,44450,66.34,2.38,2.97,Vaccination,18320.0,Yes,58.06,1423.0,4.07,13070.0,0.87,55.36 +83316,UK,2005,Tuberculosis,Autoimmune,11.55,0.99,9.04,19-35,Female,725022,51.86,1.3,7.47,Therapy,29853.0,No,96.39,2254.0,8.31,22764.0,0.66,30.2 +83317,South Korea,2024,Hypertension,Bacterial,10.52,4.1,1.33,19-35,Other,97656,80.08,2.27,5.44,Surgery,31296.0,No,53.42,428.0,8.22,86982.0,0.62,76.23 +83318,China,2003,Parkinson's Disease,Viral,18.57,11.27,6.91,0-18,Female,566330,98.47,3.02,7.32,Vaccination,22977.0,Yes,67.48,2920.0,0.42,99295.0,0.9,36.77 +83320,Mexico,2018,Tuberculosis,Cardiovascular,16.53,9.35,1.95,61+,Other,983257,54.65,3.75,3.45,Therapy,49215.0,No,89.88,3602.0,2.56,58316.0,0.48,28.96 +83322,Germany,2017,Leprosy,Autoimmune,2.59,12.88,1.7,19-35,Male,544537,71.41,4.39,2.56,Surgery,47775.0,Yes,93.96,356.0,7.61,73031.0,0.7,85.83 +83326,Germany,2000,Ebola,Cardiovascular,4.73,1.66,7.84,61+,Male,462215,82.48,0.62,1.54,Medication,20809.0,Yes,56.37,4924.0,5.76,20479.0,0.46,25.48 +83331,South Korea,2020,Rabies,Chronic,5.89,12.56,2.81,19-35,Female,469197,74.28,3.94,6.87,Surgery,20111.0,No,85.68,446.0,4.14,97740.0,0.46,73.06 +83339,Russia,2005,COVID-19,Genetic,9.89,7.57,1.29,36-60,Female,764056,60.25,3.08,2.48,Surgery,13644.0,Yes,77.32,540.0,9.57,46953.0,0.51,66.47 +83345,South Africa,2010,Polio,Chronic,18.49,8.39,7.21,61+,Female,195153,61.86,1.8,7.13,Medication,23419.0,Yes,93.84,3570.0,4.97,22747.0,0.87,71.79 +83347,Indonesia,2010,Cholera,Neurological,6.43,4.36,9.1,0-18,Male,804101,80.07,4.4,9.97,Vaccination,24059.0,Yes,95.04,2169.0,9.54,29680.0,0.63,52.67 +83348,Russia,2019,Diabetes,Infectious,12.74,5.65,5.67,61+,Female,708750,92.98,0.64,7.94,Surgery,24840.0,Yes,97.06,3089.0,9.17,3780.0,0.58,43.4 +83349,USA,2016,Ebola,Infectious,8.37,6.54,0.3,36-60,Female,37089,65.75,1.36,2.61,Medication,15859.0,Yes,94.35,2337.0,2.17,48125.0,0.64,65.06 +83354,Canada,2005,Polio,Chronic,11.46,13.14,5.32,61+,Other,137808,98.72,4.92,4.05,Therapy,41669.0,No,63.01,3124.0,1.6,51093.0,0.54,27.42 +83361,Saudi Arabia,2010,Dengue,Respiratory,2.18,14.09,3.79,0-18,Male,83032,78.75,2.67,1.2,Therapy,2274.0,Yes,60.12,3241.0,2.47,27285.0,0.66,54.02 +83364,South Africa,2019,Influenza,Neurological,7.08,8.28,5.05,36-60,Female,867010,95.1,1.21,3.85,Vaccination,13163.0,No,50.44,1179.0,5.23,47820.0,0.42,20.56 +83376,South Africa,2016,HIV/AIDS,Parasitic,5.43,4.76,1.52,19-35,Male,662890,80.85,3.15,3.66,Therapy,35359.0,No,89.06,4116.0,1.23,77851.0,0.8,80.35 +83381,Germany,2013,Ebola,Cardiovascular,13.76,11.7,9.68,36-60,Other,305230,87.4,2.12,8.45,Surgery,42074.0,No,91.23,3253.0,2.17,80669.0,0.47,69.98 +83394,USA,2020,Malaria,Cardiovascular,12.91,14.2,1.56,19-35,Female,707711,78.52,2.19,8.47,Therapy,26080.0,No,85.35,141.0,0.61,62887.0,0.7,49.6 +83399,Mexico,2020,Tuberculosis,Infectious,1.15,4.28,9.41,61+,Other,25314,63.86,2.4,3.22,Therapy,1374.0,No,98.23,3072.0,1.68,10864.0,0.89,56.63 +83402,Canada,2003,Parkinson's Disease,Metabolic,17.84,14.53,4.2,36-60,Female,684630,68.65,2.4,2.5,Surgery,44012.0,Yes,92.17,4840.0,1.8,64727.0,0.88,32.49 +83405,Italy,2022,Dengue,Neurological,10.18,1.05,1.74,19-35,Female,441256,99.61,4.39,2.27,Therapy,25667.0,No,90.23,1594.0,7.73,44334.0,0.75,77.23 +83407,Nigeria,2023,Alzheimer's Disease,Viral,5.95,11.53,1.08,0-18,Female,149777,92.24,3.05,9.78,Vaccination,28961.0,Yes,51.33,763.0,9.74,97609.0,0.4,28.14 +83418,Saudi Arabia,2017,Tuberculosis,Viral,15.08,5.64,6.65,61+,Other,797103,81.65,4.35,9.2,Medication,14833.0,Yes,61.83,1063.0,5.31,59621.0,0.9,22.03 +83420,South Africa,2011,Rabies,Genetic,19.71,6.45,5.33,61+,Female,387649,98.36,3.84,1.71,Vaccination,9166.0,Yes,51.44,2228.0,8.01,11042.0,0.57,89.76 +83425,Saudi Arabia,2015,Cholera,Respiratory,19.24,11.36,7.26,61+,Female,804474,78.4,2.5,5.46,Medication,748.0,Yes,91.1,1793.0,2.43,70059.0,0.57,85.23 +83426,France,2016,Asthma,Bacterial,8.84,3.85,1.26,19-35,Other,380194,70.7,0.55,7.3,Medication,16298.0,Yes,55.53,4785.0,2.35,18690.0,0.74,31.22 +83429,Argentina,2013,Parkinson's Disease,Parasitic,15.0,13.36,9.19,36-60,Male,486602,62.49,2.98,2.94,Surgery,39187.0,No,93.99,3073.0,6.73,13245.0,0.54,69.01 +83431,USA,2006,Leprosy,Respiratory,17.57,10.34,6.16,61+,Other,632204,53.93,1.82,9.07,Medication,16261.0,No,82.66,2931.0,5.86,67857.0,0.63,56.4 +83432,Argentina,2012,Diabetes,Viral,10.38,12.78,7.58,0-18,Other,775931,76.15,1.87,9.4,Surgery,24413.0,No,63.26,2751.0,4.9,88014.0,0.59,58.39 +83433,Indonesia,2009,Cancer,Infectious,16.08,2.14,3.4,19-35,Male,367414,90.26,4.53,9.36,Medication,32264.0,No,88.93,89.0,3.82,58161.0,0.65,62.72 +83434,USA,2019,Cholera,Respiratory,8.61,7.49,3.85,36-60,Female,533993,99.84,2.85,5.68,Medication,23387.0,No,51.93,3567.0,4.14,43749.0,0.82,77.69 +83438,India,2000,Influenza,Viral,10.18,1.94,6.09,61+,Other,832622,60.44,2.08,5.04,Vaccination,4379.0,Yes,75.16,2574.0,1.73,80757.0,0.59,23.15 +83441,UK,2018,Cholera,Bacterial,19.6,11.37,7.57,19-35,Other,975119,91.97,2.42,9.35,Medication,5620.0,No,85.12,1663.0,7.35,31089.0,0.59,74.51 +83447,Germany,2012,Asthma,Genetic,18.02,2.67,0.2,19-35,Other,322463,60.86,2.88,4.38,Vaccination,48203.0,Yes,55.78,4183.0,2.53,15656.0,0.64,72.98 +83473,Argentina,2016,Leprosy,Neurological,2.4,14.76,5.21,0-18,Other,277352,50.55,2.33,0.83,Therapy,19726.0,Yes,92.42,3227.0,5.99,71562.0,0.52,51.16 +83474,Argentina,2019,Parkinson's Disease,Parasitic,13.33,12.09,0.25,19-35,Other,521938,86.28,2.96,9.52,Vaccination,5227.0,No,84.84,613.0,5.09,88935.0,0.72,80.22 +83477,Nigeria,2005,Polio,Viral,17.82,8.59,6.44,61+,Male,290627,66.9,4.43,3.41,Vaccination,21398.0,No,93.03,4700.0,9.25,61564.0,0.79,69.28 +83482,France,2015,Diabetes,Neurological,8.88,0.2,5.72,36-60,Male,518770,79.29,0.69,6.54,Vaccination,42169.0,Yes,52.5,3385.0,4.18,14791.0,0.56,33.38 +83484,Nigeria,2010,Malaria,Bacterial,11.47,13.42,1.78,19-35,Female,745605,67.08,3.33,1.41,Medication,41133.0,No,69.84,3728.0,6.48,54643.0,0.81,84.46 +83487,Russia,2003,Polio,Chronic,17.91,6.42,3.58,36-60,Female,339327,50.48,3.19,3.85,Vaccination,38130.0,Yes,65.98,2238.0,6.75,34045.0,0.69,59.19 +83490,Canada,2017,COVID-19,Metabolic,12.74,0.86,4.17,0-18,Male,440312,85.57,2.46,3.39,Surgery,2684.0,No,73.2,2822.0,1.77,43992.0,0.71,78.11 +83492,Argentina,2022,Hepatitis,Genetic,6.08,10.08,2.21,36-60,Female,629181,84.61,4.61,6.24,Vaccination,43732.0,Yes,78.04,3326.0,4.15,41053.0,0.86,88.0 +83494,Russia,2002,Dengue,Cardiovascular,19.77,12.44,5.09,0-18,Other,686924,89.48,0.72,7.75,Therapy,13196.0,No,62.36,3705.0,6.17,79648.0,0.73,71.86 +83499,South Korea,2009,Cancer,Respiratory,18.27,3.69,1.92,36-60,Female,937130,60.59,2.45,7.43,Therapy,4982.0,No,55.14,2221.0,2.68,70019.0,0.79,53.57 +83505,UK,2019,Asthma,Genetic,8.16,8.54,2.09,0-18,Female,751903,78.67,0.8,4.43,Surgery,17895.0,Yes,62.99,7.0,1.9,63906.0,0.76,79.29 +83509,Brazil,2023,Cholera,Viral,13.12,8.47,3.87,36-60,Female,945651,56.19,3.97,1.46,Surgery,5620.0,No,66.34,781.0,7.07,19922.0,0.48,78.97 +83511,Mexico,2014,HIV/AIDS,Respiratory,2.24,2.95,3.7,36-60,Female,251357,87.14,0.93,8.49,Medication,33282.0,Yes,96.58,1790.0,8.22,19561.0,0.46,39.73 +83520,Mexico,2005,Dengue,Cardiovascular,12.97,3.55,4.17,36-60,Male,201598,89.38,1.09,1.54,Therapy,20449.0,Yes,98.65,4631.0,9.95,8188.0,0.74,41.59 +83521,Germany,2024,Rabies,Cardiovascular,2.42,4.61,3.19,0-18,Male,975846,57.62,4.49,5.86,Therapy,35897.0,Yes,77.31,2539.0,8.05,29173.0,0.7,47.74 +83522,South Korea,2010,HIV/AIDS,Viral,5.06,11.44,3.26,0-18,Other,769563,52.06,3.52,5.24,Therapy,8211.0,No,54.94,3516.0,3.35,10173.0,0.87,26.0 +83523,USA,2008,Parkinson's Disease,Infectious,13.67,11.43,1.94,61+,Male,178252,94.88,1.42,1.65,Vaccination,28801.0,No,90.57,180.0,9.96,7011.0,0.82,78.4 +83526,Japan,2004,Leprosy,Parasitic,17.38,4.88,4.54,0-18,Male,818678,53.11,3.64,4.86,Vaccination,12344.0,Yes,93.76,842.0,6.99,73291.0,0.53,63.98 +83527,South Africa,2021,Cancer,Viral,5.04,2.75,2.69,0-18,Female,576054,67.69,4.63,2.0,Therapy,21906.0,Yes,58.02,445.0,2.8,28524.0,0.75,83.53 +83529,Nigeria,2013,Rabies,Autoimmune,18.77,13.44,2.29,0-18,Other,129869,71.57,1.76,4.84,Vaccination,34300.0,No,50.65,4954.0,6.86,1819.0,0.75,29.17 +83532,Indonesia,2010,Hepatitis,Respiratory,0.39,6.49,8.18,61+,Other,685970,74.31,4.55,8.28,Therapy,1039.0,No,80.4,3709.0,6.29,66059.0,0.42,87.73 +83534,USA,2006,HIV/AIDS,Autoimmune,2.51,11.05,0.53,61+,Female,218921,93.86,2.42,6.16,Vaccination,8760.0,Yes,95.86,3050.0,1.9,58759.0,0.55,41.99 +83543,Indonesia,2013,Alzheimer's Disease,Infectious,7.08,2.32,6.24,19-35,Female,881374,97.2,2.81,5.73,Therapy,19374.0,Yes,64.25,1798.0,7.18,15832.0,0.64,60.18 +83545,Australia,2001,Influenza,Autoimmune,2.83,3.83,5.1,61+,Male,171641,50.38,1.7,2.88,Medication,47685.0,Yes,93.69,207.0,0.26,27387.0,0.86,89.23 +83549,Turkey,2005,Influenza,Metabolic,2.57,0.43,2.5,0-18,Male,122801,77.41,1.72,3.29,Vaccination,41389.0,Yes,86.16,3361.0,7.07,25620.0,0.71,50.07 +83558,Japan,2012,Dengue,Chronic,6.5,10.15,1.71,19-35,Male,938618,92.94,1.77,8.44,Surgery,1261.0,Yes,69.86,4243.0,5.69,56352.0,0.63,65.48 +83576,USA,2020,Hypertension,Autoimmune,14.64,10.19,9.85,36-60,Male,472073,66.9,4.87,3.18,Medication,26004.0,No,67.42,2605.0,5.98,16677.0,0.61,68.52 +83577,South Africa,2020,Measles,Autoimmune,2.74,3.39,1.24,61+,Other,778192,96.57,2.63,7.87,Vaccination,44352.0,Yes,60.4,2463.0,6.18,14381.0,0.74,73.65 +83578,China,2019,Measles,Bacterial,11.63,9.74,8.08,0-18,Male,386738,50.77,4.65,9.01,Vaccination,25739.0,No,55.31,818.0,5.98,67503.0,0.85,55.16 +83579,Germany,2000,Measles,Viral,19.44,11.41,0.74,0-18,Female,20116,79.31,3.32,4.42,Therapy,3042.0,No,50.57,2036.0,6.24,65251.0,0.73,66.07 +83584,Indonesia,2018,Polio,Metabolic,11.02,13.95,7.57,36-60,Male,86434,92.57,4.18,2.99,Therapy,32973.0,No,89.66,3782.0,8.03,64682.0,0.89,87.79 +83585,Saudi Arabia,2018,Zika,Infectious,14.84,7.55,1.29,19-35,Other,852069,51.99,2.28,1.14,Vaccination,33869.0,Yes,80.87,1799.0,3.15,1119.0,0.43,86.75 +83588,Germany,2012,Ebola,Chronic,6.87,4.22,3.14,36-60,Other,919728,74.7,3.77,9.9,Surgery,9069.0,No,55.0,3811.0,1.12,26134.0,0.81,73.86 +83590,UK,2010,Zika,Respiratory,17.06,8.0,3.55,19-35,Other,37476,64.64,1.6,8.64,Vaccination,1140.0,Yes,70.7,3882.0,3.34,94046.0,0.49,46.18 +83597,UK,2024,Hepatitis,Parasitic,13.05,7.58,6.37,0-18,Other,435722,96.81,3.48,3.3,Surgery,12230.0,No,67.96,1409.0,7.25,17659.0,0.74,79.03 +83608,Turkey,2000,COVID-19,Neurological,10.71,1.38,4.14,36-60,Female,719560,81.68,4.88,3.5,Medication,17763.0,Yes,78.25,3538.0,8.13,28806.0,0.5,49.48 +83609,Australia,2017,Tuberculosis,Cardiovascular,4.94,11.16,5.5,0-18,Female,666844,71.22,1.09,2.75,Medication,5087.0,Yes,63.92,776.0,3.7,72982.0,0.63,76.44 +83614,Russia,2003,Tuberculosis,Cardiovascular,11.14,8.55,0.79,19-35,Female,274239,85.78,3.69,3.2,Therapy,38382.0,Yes,69.42,2027.0,1.02,3763.0,0.58,63.99 +83619,Canada,2007,HIV/AIDS,Genetic,4.1,0.93,8.53,36-60,Other,608042,99.27,4.93,3.9,Vaccination,8047.0,Yes,64.88,1214.0,3.65,29841.0,0.73,76.02 +83625,Russia,2007,Leprosy,Cardiovascular,9.25,12.54,8.68,19-35,Other,523949,63.18,1.76,7.47,Surgery,9692.0,Yes,55.36,1621.0,4.83,80030.0,0.73,76.1 +83631,Australia,2005,Diabetes,Bacterial,14.54,5.49,5.48,0-18,Male,141374,97.53,1.83,3.4,Medication,25219.0,No,80.44,98.0,2.34,58745.0,0.89,45.24 +83632,Japan,2012,Asthma,Chronic,0.54,2.37,9.61,19-35,Male,220781,89.96,4.89,4.69,Vaccination,15890.0,No,93.74,46.0,1.85,74181.0,0.46,80.95 +83634,India,2018,Leprosy,Viral,0.34,10.71,2.95,61+,Other,461465,93.9,2.86,9.55,Surgery,5761.0,Yes,84.22,2793.0,4.43,49838.0,0.82,59.45 +83640,USA,2009,Leprosy,Viral,7.17,6.76,7.57,61+,Other,312088,74.84,3.44,3.38,Vaccination,31337.0,Yes,66.19,3034.0,8.8,37467.0,0.65,20.71 +83642,Saudi Arabia,2011,Hepatitis,Neurological,15.45,9.91,3.87,0-18,Male,432779,71.69,3.47,3.39,Vaccination,47064.0,No,97.38,1617.0,1.76,99894.0,0.55,42.35 +83656,Mexico,2020,Polio,Parasitic,0.71,7.58,2.55,36-60,Other,185643,51.42,2.45,0.78,Therapy,10506.0,No,70.08,3760.0,3.92,21431.0,0.82,87.03 +83659,South Korea,2013,Polio,Autoimmune,2.66,1.25,0.56,36-60,Male,816899,83.36,2.92,8.83,Vaccination,36785.0,Yes,91.87,184.0,3.4,33570.0,0.41,76.38 +83662,UK,2022,Leprosy,Parasitic,19.05,3.97,4.01,36-60,Female,16548,89.01,3.66,7.54,Vaccination,49244.0,No,56.15,4848.0,3.06,33734.0,0.48,75.16 +83669,Argentina,2010,Dengue,Metabolic,3.38,6.47,3.23,0-18,Female,369357,97.63,4.48,9.73,Vaccination,22377.0,No,81.79,617.0,8.57,29502.0,0.44,29.27 +83673,Australia,2001,Alzheimer's Disease,Bacterial,1.71,11.68,8.39,0-18,Male,593773,72.69,4.06,5.01,Surgery,33584.0,No,54.3,4769.0,1.05,72336.0,0.46,23.72 +83675,Canada,2013,HIV/AIDS,Metabolic,5.5,3.06,5.74,36-60,Male,378362,58.46,4.55,2.56,Surgery,37394.0,No,50.94,3472.0,6.82,75633.0,0.85,25.46 +83677,USA,2011,Hepatitis,Neurological,1.99,14.71,1.18,19-35,Female,541148,74.66,0.51,1.93,Vaccination,17256.0,No,57.14,4069.0,6.3,86839.0,0.6,34.59 +83679,Argentina,2001,Cholera,Genetic,7.81,12.83,1.59,19-35,Other,777598,63.03,3.29,8.28,Medication,26101.0,Yes,68.28,2621.0,3.51,96475.0,0.89,25.01 +83693,Italy,2014,Measles,Bacterial,3.66,3.02,8.17,0-18,Male,342140,52.72,3.13,5.81,Medication,6476.0,Yes,91.09,1347.0,1.72,81466.0,0.77,51.87 +83700,Brazil,2013,Cholera,Cardiovascular,3.77,6.82,2.72,0-18,Other,656074,89.91,4.48,1.19,Surgery,14926.0,Yes,78.04,4458.0,6.96,98719.0,0.55,22.94 +83701,Mexico,2013,Alzheimer's Disease,Respiratory,14.54,1.44,6.64,0-18,Female,291164,94.35,2.22,7.12,Medication,39259.0,No,89.45,3014.0,3.39,50726.0,0.83,33.71 +83702,USA,2004,Dengue,Chronic,3.54,6.78,5.77,19-35,Male,403114,84.2,1.74,4.37,Therapy,36550.0,No,74.93,4140.0,7.47,5833.0,0.59,20.51 +83703,UK,2002,COVID-19,Parasitic,9.85,2.95,3.26,36-60,Male,229700,72.3,0.58,1.8,Vaccination,11687.0,Yes,68.49,3.0,7.87,26018.0,0.7,71.42 +83708,Nigeria,2008,Malaria,Genetic,1.17,2.91,3.56,36-60,Male,484404,86.98,4.47,9.14,Medication,588.0,No,82.81,2154.0,0.62,23426.0,0.67,72.93 +83712,France,2018,Cholera,Neurological,2.06,3.24,4.72,36-60,Female,198419,58.01,2.45,7.81,Vaccination,25193.0,Yes,82.93,4883.0,7.38,96903.0,0.78,45.68 +83731,USA,2009,Measles,Metabolic,3.57,0.49,6.16,36-60,Male,770930,87.95,3.39,2.08,Surgery,5822.0,No,68.2,1924.0,8.19,10889.0,0.51,28.45 +83733,South Africa,2016,Parkinson's Disease,Viral,17.56,7.96,4.05,0-18,Other,256174,52.63,2.71,6.96,Medication,6904.0,No,50.93,1548.0,8.22,51739.0,0.72,41.26 +83734,Japan,2012,Hypertension,Bacterial,9.07,2.38,0.39,61+,Female,626595,67.64,2.9,7.32,Surgery,20102.0,No,58.51,1409.0,1.1,10581.0,0.82,61.37 +83737,Saudi Arabia,2012,Alzheimer's Disease,Respiratory,11.2,13.5,0.37,61+,Male,419339,71.32,1.03,2.03,Surgery,6165.0,Yes,83.32,3254.0,7.4,24687.0,0.41,31.48 +83740,Nigeria,2021,Zika,Neurological,10.09,1.68,8.58,61+,Male,901084,50.85,3.15,8.71,Medication,37805.0,No,50.78,39.0,3.78,26340.0,0.66,35.87 +83745,Turkey,2023,HIV/AIDS,Chronic,9.51,5.94,7.42,36-60,Male,991177,73.97,2.83,0.96,Therapy,4393.0,Yes,93.42,3486.0,2.55,601.0,0.41,50.3 +83755,South Korea,2017,Diabetes,Bacterial,14.55,1.98,0.64,61+,Other,298482,98.34,1.79,6.77,Medication,44285.0,No,69.03,4809.0,1.15,18647.0,0.49,86.71 +83756,Nigeria,2005,Zika,Genetic,5.53,3.07,1.68,0-18,Other,112737,80.35,0.81,1.2,Vaccination,48125.0,Yes,88.33,1532.0,3.5,76599.0,0.84,54.12 +83762,USA,2020,Dengue,Parasitic,7.8,3.14,8.83,36-60,Other,199991,64.96,4.19,7.41,Therapy,14150.0,Yes,56.52,4563.0,8.54,1747.0,0.5,28.47 +83778,USA,2004,Alzheimer's Disease,Viral,0.45,1.81,9.41,19-35,Male,809229,87.69,2.35,6.41,Medication,45564.0,Yes,61.35,2759.0,4.56,24253.0,0.66,83.29 +83791,Brazil,2016,Tuberculosis,Metabolic,11.62,4.04,5.87,36-60,Other,558095,64.86,1.13,1.19,Medication,3269.0,Yes,67.47,611.0,4.22,7028.0,0.56,57.81 +83792,Brazil,2018,HIV/AIDS,Autoimmune,5.85,7.38,3.97,19-35,Other,74457,79.74,0.96,9.05,Surgery,31957.0,No,76.14,1921.0,2.31,41751.0,0.42,79.74 +83796,Mexico,2009,Zika,Genetic,1.46,12.71,4.26,19-35,Male,957954,71.65,1.14,0.91,Therapy,48071.0,No,64.92,2112.0,3.76,12266.0,0.66,53.82 +83799,Japan,2006,Rabies,Respiratory,8.12,13.93,0.46,36-60,Female,949433,51.14,1.18,5.12,Medication,42419.0,No,61.49,2011.0,0.72,97024.0,0.59,58.77 +83800,USA,2015,Hypertension,Genetic,2.99,14.97,7.53,61+,Male,504264,83.95,2.78,6.49,Medication,49942.0,Yes,84.35,1162.0,4.71,73881.0,0.83,39.32 +83801,Indonesia,2008,HIV/AIDS,Metabolic,13.52,8.84,0.62,36-60,Male,822887,77.5,2.19,0.68,Medication,26476.0,Yes,85.48,1851.0,2.99,52222.0,0.56,38.86 +83804,Germany,2014,Leprosy,Autoimmune,12.23,14.08,5.37,36-60,Female,504608,84.77,4.61,4.94,Surgery,10725.0,No,68.13,313.0,8.31,40964.0,0.47,64.42 +83805,Japan,2021,Polio,Neurological,12.93,13.74,4.19,61+,Other,940226,99.15,4.52,4.17,Surgery,44826.0,No,79.1,66.0,5.93,1942.0,0.65,89.19 +83807,India,2001,COVID-19,Chronic,1.24,11.9,0.15,19-35,Other,325934,99.31,4.86,2.83,Therapy,26638.0,Yes,63.81,4607.0,7.27,82135.0,0.67,85.12 +83811,UK,2011,Rabies,Cardiovascular,12.54,14.38,5.91,61+,Female,586382,77.56,4.48,4.24,Medication,4806.0,No,71.64,405.0,7.67,2526.0,0.5,50.66 +83820,China,2006,Measles,Parasitic,9.45,8.46,6.48,19-35,Female,396609,67.16,4.76,9.37,Therapy,47384.0,Yes,84.63,4084.0,5.66,52023.0,0.55,48.49 +83821,China,2014,Dengue,Cardiovascular,7.12,14.09,7.57,19-35,Male,126481,78.34,4.41,6.9,Medication,43501.0,Yes,97.34,1500.0,2.64,1645.0,0.47,56.03 +83822,China,2023,Dengue,Parasitic,11.36,4.37,8.25,19-35,Male,898619,84.47,1.26,2.46,Therapy,49688.0,No,75.38,903.0,0.19,95771.0,0.72,74.73 +83823,Russia,2016,Cholera,Cardiovascular,6.19,5.27,7.26,0-18,Female,724812,59.54,4.62,7.81,Medication,45505.0,Yes,98.39,834.0,4.85,32734.0,0.62,58.52 +83824,Turkey,2007,Diabetes,Neurological,16.15,4.61,8.69,0-18,Other,149497,60.98,0.81,9.92,Medication,41160.0,No,75.56,254.0,8.31,47065.0,0.72,89.39 +83841,Canada,2017,Influenza,Autoimmune,2.44,13.07,3.42,61+,Female,874581,58.73,0.68,9.24,Medication,47919.0,Yes,91.82,2047.0,9.7,62461.0,0.5,25.95 +83852,South Korea,2009,Zika,Neurological,6.03,8.14,2.53,19-35,Male,180041,71.94,4.09,5.4,Medication,37215.0,No,77.29,39.0,1.99,26695.0,0.87,82.91 +83857,Canada,2007,COVID-19,Infectious,9.33,6.15,3.0,61+,Male,339241,63.36,1.79,7.61,Vaccination,10574.0,No,64.69,4418.0,3.34,71248.0,0.47,62.27 +83863,Turkey,2007,Alzheimer's Disease,Cardiovascular,1.6,14.19,6.98,36-60,Female,798612,85.09,0.63,6.41,Medication,12320.0,No,74.49,4382.0,7.62,71841.0,0.79,84.79 +83869,Japan,2011,Zika,Parasitic,6.16,1.98,7.2,36-60,Female,789364,53.18,1.63,8.26,Therapy,20284.0,Yes,91.23,4552.0,2.0,4843.0,0.6,34.45 +83878,Nigeria,2005,Leprosy,Chronic,16.93,14.69,4.97,36-60,Female,87286,54.08,1.25,5.64,Surgery,36579.0,Yes,92.19,2650.0,7.18,11120.0,0.86,23.57 +83882,Japan,2008,Diabetes,Genetic,8.57,4.97,5.25,19-35,Other,607595,97.7,1.69,7.9,Medication,43975.0,No,68.21,2499.0,3.4,48587.0,0.53,40.31 +83891,Australia,2022,Tuberculosis,Chronic,2.32,8.12,5.54,36-60,Other,633958,70.47,0.57,7.83,Medication,43563.0,No,74.95,4757.0,2.59,27269.0,0.83,41.96 +83892,Germany,2006,Polio,Genetic,0.8,9.97,0.98,19-35,Other,383082,52.93,1.94,4.5,Surgery,3607.0,Yes,55.09,1271.0,7.04,54169.0,0.75,81.9 +83893,Turkey,2018,Rabies,Infectious,4.49,12.27,0.93,0-18,Female,607428,99.71,2.21,4.1,Surgery,45185.0,Yes,87.03,1866.0,1.47,86301.0,0.49,53.2 +83895,India,2002,Diabetes,Cardiovascular,19.96,5.12,5.99,36-60,Female,855416,73.73,3.32,2.43,Therapy,39599.0,Yes,61.53,1078.0,6.13,23155.0,0.57,45.41 +83905,France,2024,Polio,Parasitic,19.6,5.25,7.27,61+,Other,200263,93.47,2.68,6.31,Medication,19984.0,No,98.26,3113.0,4.39,35216.0,0.77,46.23 +83914,India,2012,Hypertension,Metabolic,7.16,11.17,8.78,61+,Female,613712,99.25,4.76,6.31,Vaccination,29133.0,Yes,65.53,4860.0,5.52,43347.0,0.5,29.47 +83919,Brazil,2012,Rabies,Cardiovascular,19.75,1.47,8.54,36-60,Male,260541,52.41,3.84,6.91,Therapy,34331.0,Yes,92.6,3574.0,3.78,92787.0,0.55,87.92 +83931,Russia,2005,Zika,Metabolic,0.2,0.67,5.83,61+,Other,10574,91.6,1.92,2.72,Therapy,40865.0,Yes,93.98,968.0,6.51,93531.0,0.47,44.98 +83936,Canada,2010,Hepatitis,Genetic,6.69,12.62,9.01,36-60,Male,587316,69.17,1.37,3.39,Vaccination,4474.0,No,74.3,3776.0,8.24,49316.0,0.52,44.3 +83937,South Africa,2023,Polio,Parasitic,11.42,1.97,3.41,19-35,Other,148171,98.24,3.41,8.73,Vaccination,16012.0,No,52.36,2115.0,0.38,93589.0,0.52,50.94 +83941,Turkey,2018,Malaria,Metabolic,10.04,8.18,0.18,0-18,Male,655331,66.54,2.47,8.2,Vaccination,29081.0,Yes,52.58,4196.0,5.91,18941.0,0.79,71.84 +83946,Japan,2001,Zika,Viral,6.57,1.69,5.45,36-60,Female,667504,86.52,1.72,4.21,Vaccination,45913.0,No,83.85,4321.0,3.57,3745.0,0.43,27.4 +83947,Nigeria,2001,Ebola,Metabolic,7.28,0.5,9.17,19-35,Female,120095,87.9,4.89,2.81,Medication,27982.0,No,83.77,3833.0,1.03,72869.0,0.48,42.92 +83948,Canada,2007,Hepatitis,Autoimmune,18.37,14.88,2.98,0-18,Female,321818,71.38,4.08,0.86,Therapy,33023.0,Yes,56.85,3300.0,1.52,85766.0,0.52,82.91 +83953,China,2021,Alzheimer's Disease,Neurological,4.34,8.25,1.76,0-18,Male,252147,64.71,3.64,5.25,Medication,29809.0,No,67.69,1437.0,8.24,96641.0,0.87,35.64 +83957,China,2000,Polio,Parasitic,10.88,7.0,5.44,36-60,Female,545433,54.79,3.14,5.85,Surgery,7468.0,Yes,98.29,2253.0,4.07,58518.0,0.42,59.06 +83958,Canada,2001,Rabies,Parasitic,15.68,8.99,9.65,36-60,Male,143267,77.48,2.52,8.72,Medication,34296.0,No,98.05,2404.0,3.03,51464.0,0.81,66.5 +83959,Nigeria,2017,Cholera,Cardiovascular,11.73,2.87,2.5,0-18,Other,831590,86.46,1.13,3.81,Surgery,17585.0,No,55.51,3857.0,8.4,89251.0,0.45,83.84 +83960,Argentina,2005,Tuberculosis,Infectious,1.6,6.49,9.68,61+,Female,748179,93.09,4.72,4.34,Vaccination,16139.0,Yes,95.76,379.0,8.16,91261.0,0.52,47.34 +83961,Mexico,2009,Alzheimer's Disease,Respiratory,0.65,4.92,0.9,19-35,Female,714528,96.33,3.87,9.27,Therapy,44873.0,Yes,58.97,2393.0,0.62,18550.0,0.49,83.81 +83962,Saudi Arabia,2006,Asthma,Metabolic,5.12,12.41,4.06,0-18,Other,516137,65.42,1.79,9.37,Therapy,10909.0,Yes,94.92,3176.0,7.32,38710.0,0.74,50.86 +83966,Russia,2024,Dengue,Parasitic,7.68,5.88,0.83,61+,Male,462992,89.88,1.69,0.99,Medication,49019.0,Yes,81.11,2031.0,6.72,58097.0,0.66,23.85 +83970,Indonesia,2019,Leprosy,Metabolic,10.47,3.44,5.49,36-60,Male,606009,73.33,4.34,2.83,Medication,14980.0,No,94.16,2682.0,2.63,3412.0,0.66,71.62 +83973,Brazil,2011,Diabetes,Bacterial,19.06,10.31,0.28,36-60,Male,26822,65.22,3.81,2.92,Vaccination,10272.0,No,75.04,4663.0,0.73,26486.0,0.67,89.27 +83977,Russia,2007,Rabies,Respiratory,7.78,4.11,0.23,0-18,Female,849600,98.49,2.63,5.34,Medication,22940.0,Yes,50.61,3102.0,2.92,43800.0,0.61,28.78 +83990,USA,2016,Parkinson's Disease,Genetic,13.7,2.43,4.47,36-60,Female,825696,67.63,1.36,8.05,Surgery,28194.0,No,88.9,373.0,2.8,31004.0,0.5,74.57 +84000,France,2019,Rabies,Parasitic,8.32,4.9,1.27,36-60,Male,975500,87.77,1.9,1.97,Therapy,16032.0,No,77.89,1479.0,6.88,51116.0,0.48,29.85 +84002,Turkey,2005,Cholera,Cardiovascular,3.96,4.15,1.41,19-35,Male,738640,91.27,2.43,5.75,Medication,41226.0,No,62.13,3926.0,9.67,87748.0,0.8,89.67 +84008,Australia,2004,Asthma,Cardiovascular,0.94,10.54,1.54,61+,Female,189578,82.3,1.28,6.23,Therapy,43855.0,Yes,70.03,2909.0,7.03,59275.0,0.57,55.33 +84015,China,2002,Influenza,Infectious,14.97,3.64,6.81,19-35,Male,784784,92.68,3.37,5.29,Therapy,15130.0,No,56.28,3654.0,6.87,53511.0,0.86,30.78 +84021,India,2017,Polio,Genetic,17.83,7.34,4.81,19-35,Female,148578,83.26,2.66,5.11,Surgery,2149.0,No,63.59,1216.0,9.88,84677.0,0.59,87.15 +84038,Saudi Arabia,2020,Parkinson's Disease,Bacterial,1.23,6.44,5.21,19-35,Male,198444,56.42,2.64,5.35,Medication,696.0,Yes,59.74,667.0,7.66,17007.0,0.77,52.76 +84042,Indonesia,2004,Zika,Genetic,2.05,11.63,7.38,0-18,Other,322706,61.07,4.2,4.96,Surgery,23654.0,No,68.52,3326.0,3.77,65851.0,0.72,38.27 +84050,Australia,2006,Cancer,Cardiovascular,4.89,11.47,5.57,19-35,Other,922471,83.55,3.87,0.73,Therapy,6388.0,Yes,82.65,477.0,6.46,96849.0,0.68,78.5 +84052,Brazil,2015,Diabetes,Parasitic,17.01,12.67,6.72,0-18,Male,937927,56.21,4.78,2.3,Therapy,3936.0,Yes,96.17,3374.0,9.69,17902.0,0.65,63.61 +84058,Turkey,2018,Alzheimer's Disease,Cardiovascular,14.48,10.89,4.96,36-60,Male,755428,76.12,0.82,7.88,Vaccination,13897.0,Yes,81.98,3439.0,7.57,5021.0,0.8,61.88 +84065,Saudi Arabia,2024,Leprosy,Genetic,17.43,9.84,1.08,61+,Male,792927,85.18,1.72,6.26,Surgery,49751.0,Yes,92.53,3336.0,2.75,25110.0,0.55,40.93 +84070,UK,2002,Cholera,Metabolic,1.93,14.6,8.72,61+,Female,557637,95.09,4.66,4.8,Vaccination,10025.0,No,61.22,3816.0,7.85,45379.0,0.48,70.46 +84074,USA,2014,Rabies,Autoimmune,13.28,13.22,1.21,61+,Other,693665,90.17,1.7,7.9,Medication,25899.0,Yes,55.72,578.0,9.34,15596.0,0.63,73.57 +84077,Italy,2017,Polio,Metabolic,7.7,5.72,4.13,19-35,Other,465765,67.98,0.63,2.97,Therapy,37122.0,No,76.84,2786.0,3.27,13120.0,0.42,46.49 +84080,Turkey,2001,Cholera,Viral,17.98,12.89,2.96,36-60,Male,236663,97.83,1.52,5.83,Medication,16573.0,No,85.69,4307.0,5.39,58448.0,0.53,64.49 +84088,Germany,2014,Rabies,Bacterial,10.02,0.68,5.99,36-60,Female,332135,65.63,1.2,2.84,Medication,30875.0,No,52.99,3043.0,0.5,20331.0,0.61,30.61 +84089,USA,2014,Tuberculosis,Infectious,15.46,8.3,3.44,0-18,Female,820919,82.75,3.96,8.79,Medication,40260.0,Yes,78.95,1708.0,3.94,26051.0,0.84,75.35 +84091,Australia,2001,COVID-19,Autoimmune,13.79,10.93,6.19,0-18,Female,708350,88.95,0.57,2.11,Medication,27931.0,Yes,62.41,1456.0,1.34,61699.0,0.56,27.51 +84098,Turkey,2000,Polio,Respiratory,5.39,7.9,6.55,61+,Female,72769,56.26,1.46,8.85,Therapy,18409.0,Yes,63.52,371.0,4.71,16215.0,0.67,71.51 +84100,Argentina,2015,Tuberculosis,Bacterial,10.28,1.36,3.09,61+,Male,471829,50.65,3.87,9.75,Vaccination,49159.0,No,51.24,2308.0,8.33,97676.0,0.61,62.95 +84101,France,2003,Ebola,Metabolic,17.61,4.18,3.38,36-60,Male,645468,55.91,4.37,8.67,Surgery,45922.0,No,70.8,3227.0,1.68,89313.0,0.68,30.15 +84103,Turkey,2014,Polio,Respiratory,0.75,13.13,0.15,19-35,Male,455539,67.27,0.79,6.92,Medication,45104.0,Yes,69.81,4174.0,1.86,4486.0,0.45,41.81 +84108,Italy,2019,Malaria,Infectious,2.83,0.32,9.77,36-60,Other,152859,58.18,3.4,2.44,Surgery,42362.0,No,72.96,804.0,3.17,95418.0,0.46,86.35 +84109,Germany,2006,Tuberculosis,Chronic,12.71,6.33,4.24,19-35,Male,47188,76.71,4.19,4.01,Therapy,2785.0,Yes,53.05,2735.0,0.41,11970.0,0.51,61.38 +84112,Australia,2021,Polio,Chronic,9.23,2.51,8.1,0-18,Male,166472,89.58,1.25,7.02,Vaccination,21762.0,No,67.94,3066.0,7.36,70079.0,0.81,38.32 +84126,Turkey,2007,Cholera,Respiratory,16.22,14.76,2.62,61+,Male,4097,80.42,4.54,8.54,Therapy,22980.0,No,84.93,3114.0,7.53,68503.0,0.74,68.43 +84128,Russia,2000,Tuberculosis,Metabolic,6.68,11.22,9.34,19-35,Female,486051,55.64,1.5,5.32,Surgery,42506.0,Yes,70.68,364.0,7.65,27585.0,0.44,83.28 +84132,Mexico,2003,Cancer,Genetic,12.1,4.76,7.28,0-18,Female,180355,58.14,1.46,5.56,Medication,10925.0,Yes,66.0,1420.0,0.03,69668.0,0.44,47.82 +84138,Saudi Arabia,2005,Alzheimer's Disease,Respiratory,13.95,4.26,0.33,19-35,Other,212604,78.41,4.0,0.79,Vaccination,36265.0,Yes,86.8,2098.0,8.36,27409.0,0.67,48.41 +84146,Australia,2015,HIV/AIDS,Viral,4.34,9.76,3.54,61+,Other,398779,87.27,1.23,1.27,Vaccination,4855.0,No,50.3,941.0,0.98,12903.0,0.87,50.69 +84150,Mexico,2012,Diabetes,Infectious,18.49,4.02,9.95,19-35,Other,533379,57.11,3.09,2.66,Medication,43306.0,No,74.62,3339.0,4.47,58115.0,0.49,47.2 +84152,South Korea,2006,Alzheimer's Disease,Respiratory,8.9,6.45,8.6,0-18,Male,377203,88.95,1.84,7.79,Vaccination,4097.0,No,66.86,762.0,5.62,60283.0,0.49,66.53 +84154,Canada,2004,Alzheimer's Disease,Cardiovascular,18.7,4.97,8.25,36-60,Other,30618,52.73,1.27,3.35,Medication,26872.0,No,55.53,316.0,9.26,15437.0,0.5,70.76 +84158,Indonesia,2001,Measles,Genetic,17.17,7.59,2.84,36-60,Male,583074,50.91,3.33,8.13,Therapy,907.0,No,55.28,2360.0,7.9,39265.0,0.71,38.91 +84159,Nigeria,2024,Tuberculosis,Respiratory,8.14,6.62,4.84,0-18,Other,653418,93.76,4.52,7.42,Vaccination,44175.0,No,51.49,2037.0,9.35,31488.0,0.66,61.93 +84160,South Korea,2011,Cholera,Infectious,4.26,14.64,8.05,61+,Other,417089,57.8,1.86,5.17,Medication,39970.0,No,76.63,328.0,2.78,37578.0,0.83,43.05 +84169,Australia,2000,Leprosy,Genetic,9.02,1.76,4.0,61+,Other,570262,76.84,4.7,2.32,Surgery,39626.0,No,51.11,3176.0,1.2,21182.0,0.55,63.64 +84174,France,2011,Zika,Bacterial,3.52,1.16,3.5,19-35,Female,602188,87.52,3.43,4.58,Surgery,37378.0,No,86.47,1171.0,6.77,59278.0,0.72,55.59 +84175,Turkey,2013,HIV/AIDS,Metabolic,8.07,12.95,9.88,0-18,Other,929770,61.4,4.34,7.89,Vaccination,10209.0,Yes,70.61,1698.0,3.24,22521.0,0.71,59.84 +84180,Canada,2023,Alzheimer's Disease,Chronic,1.08,13.73,5.95,61+,Male,362725,94.48,0.74,4.95,Vaccination,14885.0,No,58.75,3850.0,9.62,93155.0,0.44,34.01 +84184,Germany,2012,Hepatitis,Respiratory,4.23,8.34,1.54,36-60,Female,324950,91.85,3.31,5.66,Vaccination,40280.0,No,73.46,4658.0,6.45,97714.0,0.83,30.54 +84185,South Korea,2018,Hepatitis,Cardiovascular,6.88,5.26,2.69,0-18,Male,611311,91.29,1.36,0.7,Vaccination,25968.0,No,65.23,4909.0,5.45,56286.0,0.43,78.77 +84186,Nigeria,2019,Malaria,Viral,3.26,6.18,5.19,0-18,Male,514816,66.94,0.95,9.62,Surgery,22029.0,No,83.52,1896.0,2.09,38936.0,0.76,53.68 +84195,India,2018,Cholera,Autoimmune,16.66,4.71,8.2,61+,Female,850972,54.02,4.58,6.81,Surgery,25776.0,No,83.32,4017.0,5.81,84036.0,0.43,89.1 +84197,USA,2021,Parkinson's Disease,Genetic,19.67,8.87,8.17,0-18,Other,497871,61.64,0.59,2.91,Vaccination,44560.0,Yes,95.06,1051.0,8.51,78059.0,0.71,59.05 +84203,UK,2019,Measles,Respiratory,5.73,9.38,5.11,61+,Male,60075,57.44,4.74,5.04,Vaccination,31017.0,Yes,94.33,2771.0,8.52,73718.0,0.81,85.12 +84214,Nigeria,2010,Malaria,Metabolic,12.46,13.2,0.49,19-35,Male,240313,97.2,4.23,3.19,Therapy,36901.0,No,86.17,290.0,5.62,84569.0,0.46,31.73 +84216,Japan,2015,Cholera,Bacterial,17.7,0.24,4.29,61+,Male,185905,84.56,1.81,1.34,Medication,11675.0,Yes,51.48,716.0,8.33,54388.0,0.44,62.04 +84218,Mexico,2007,Diabetes,Viral,2.85,13.31,0.19,0-18,Female,764239,58.13,4.63,3.33,Vaccination,26117.0,Yes,91.15,4577.0,9.56,20919.0,0.43,35.62 +84222,Russia,2009,Alzheimer's Disease,Cardiovascular,2.77,3.28,1.24,0-18,Other,563782,69.93,4.08,4.51,Therapy,21462.0,No,51.2,3187.0,2.96,88640.0,0.73,44.39 +84224,Indonesia,2010,Measles,Viral,17.51,8.41,7.74,19-35,Male,992934,80.08,4.19,7.22,Medication,46979.0,Yes,91.36,114.0,3.42,73603.0,0.42,79.41 +84234,Argentina,2000,Alzheimer's Disease,Autoimmune,19.32,14.03,2.89,0-18,Male,319547,51.51,1.5,2.97,Therapy,18965.0,Yes,86.47,1833.0,5.68,58490.0,0.74,62.52 +84235,Italy,2022,Hepatitis,Neurological,11.87,9.87,6.21,36-60,Other,763562,63.17,1.99,1.11,Vaccination,47735.0,No,79.5,1242.0,3.64,81654.0,0.72,75.39 +84246,Argentina,2022,Asthma,Autoimmune,6.59,3.52,5.57,19-35,Male,175033,82.57,0.94,7.76,Surgery,46057.0,Yes,84.27,3033.0,7.98,33628.0,0.69,34.9 +84248,Germany,2007,Rabies,Autoimmune,17.56,13.15,7.43,36-60,Male,229933,74.59,1.09,3.06,Vaccination,15177.0,Yes,92.11,4914.0,8.74,48105.0,0.88,88.24 +84249,Saudi Arabia,2021,Dengue,Viral,6.78,0.2,1.21,61+,Other,64837,58.78,4.92,2.17,Surgery,32991.0,No,57.03,3732.0,1.76,94878.0,0.46,23.92 +84250,UK,2008,Malaria,Neurological,10.77,11.86,5.29,0-18,Female,346691,92.2,0.86,6.77,Surgery,30113.0,Yes,94.93,4027.0,0.79,69080.0,0.69,32.1 +84257,Saudi Arabia,2020,Parkinson's Disease,Chronic,12.53,7.35,1.09,0-18,Other,731451,70.03,2.65,1.13,Medication,33359.0,No,53.39,3894.0,6.22,35556.0,0.74,88.51 +84259,Mexico,2021,Alzheimer's Disease,Infectious,14.11,11.94,9.45,36-60,Male,193260,57.88,2.07,5.9,Therapy,47103.0,Yes,57.36,3102.0,8.14,79890.0,0.67,61.69 +84260,India,2001,Influenza,Cardiovascular,13.57,6.95,5.24,61+,Female,980089,83.65,3.59,4.79,Therapy,2946.0,Yes,95.57,1890.0,1.78,63998.0,0.56,77.11 +84269,Japan,2023,Asthma,Metabolic,2.88,1.39,6.31,0-18,Other,97357,62.22,4.9,5.88,Surgery,37373.0,No,66.68,3363.0,1.56,35640.0,0.75,78.74 +84272,Indonesia,2021,Parkinson's Disease,Autoimmune,9.19,3.06,5.6,19-35,Other,796397,60.53,2.6,4.49,Therapy,42601.0,Yes,89.02,3126.0,7.33,67888.0,0.65,26.24 +84279,Japan,2024,Measles,Chronic,1.97,13.49,5.94,0-18,Female,371869,67.73,2.42,2.93,Surgery,26773.0,Yes,69.34,4306.0,4.36,4078.0,0.72,20.3 +84280,India,2016,Parkinson's Disease,Infectious,3.91,7.59,7.67,61+,Other,929363,73.32,2.01,0.77,Vaccination,40921.0,No,93.72,2119.0,8.78,70042.0,0.54,85.82 +84285,South Africa,2019,COVID-19,Metabolic,15.16,7.57,3.05,0-18,Other,777931,78.59,2.09,5.57,Surgery,41830.0,Yes,89.45,1465.0,1.1,99734.0,0.74,68.87 +84288,Indonesia,2015,Malaria,Bacterial,12.81,13.46,2.26,61+,Male,232079,52.29,0.6,5.99,Medication,42163.0,No,91.2,1229.0,3.23,23422.0,0.6,63.17 +84292,Russia,2005,Diabetes,Parasitic,5.29,2.1,7.81,0-18,Female,41661,69.01,3.16,2.55,Medication,12510.0,Yes,59.95,3471.0,0.95,28852.0,0.41,30.13 +84293,China,2011,Parkinson's Disease,Metabolic,4.58,2.75,7.05,36-60,Other,921394,61.63,4.6,7.15,Therapy,4359.0,Yes,55.66,705.0,2.77,40779.0,0.59,34.46 +84297,Russia,2014,Cancer,Neurological,6.0,12.79,2.01,61+,Other,261696,93.43,1.02,1.81,Medication,3470.0,Yes,50.87,1383.0,6.18,64758.0,0.5,51.14 +84313,Canada,2004,COVID-19,Chronic,0.98,2.11,4.91,0-18,Other,743281,76.84,1.58,2.92,Medication,28123.0,No,82.97,1983.0,9.55,73704.0,0.66,26.95 +84314,Germany,2022,Cholera,Parasitic,1.48,13.99,9.53,36-60,Other,895594,60.63,3.53,1.46,Vaccination,13019.0,No,78.87,4353.0,2.46,78526.0,0.48,38.05 +84328,South Korea,2008,Measles,Autoimmune,16.32,9.64,2.51,19-35,Other,384562,68.95,3.79,4.87,Medication,47068.0,Yes,89.33,494.0,5.75,65824.0,0.87,50.63 +84329,India,2005,Diabetes,Respiratory,1.19,1.97,5.37,0-18,Male,9749,97.25,3.79,9.5,Surgery,39759.0,Yes,93.28,4507.0,6.0,85045.0,0.85,72.56 +84335,China,2024,Leprosy,Parasitic,11.35,10.66,6.04,19-35,Female,460635,88.34,3.8,7.32,Therapy,42275.0,Yes,87.83,102.0,3.0,72196.0,0.75,25.41 +84340,USA,2000,Ebola,Infectious,4.89,11.85,1.78,19-35,Other,128542,60.62,4.23,0.75,Therapy,8476.0,Yes,79.74,1865.0,1.0,25934.0,0.89,58.56 +84345,South Korea,2008,Diabetes,Neurological,1.31,3.51,9.63,19-35,Female,703204,58.61,1.48,0.73,Medication,10716.0,Yes,84.95,1941.0,9.2,39564.0,0.45,65.25 +84357,France,2001,Rabies,Bacterial,16.69,5.31,5.64,19-35,Other,27281,61.71,2.78,8.86,Medication,10547.0,Yes,81.68,1340.0,8.42,61527.0,0.7,79.58 +84365,Italy,2006,Cholera,Bacterial,19.77,0.97,6.16,0-18,Male,109160,72.75,2.23,2.8,Medication,16488.0,No,93.72,1071.0,3.43,60622.0,0.76,81.69 +84366,Germany,2023,Asthma,Autoimmune,4.39,2.52,5.36,19-35,Other,71633,74.83,1.65,0.85,Vaccination,16995.0,Yes,94.77,2113.0,2.61,26378.0,0.61,38.15 +84375,Italy,2018,Parkinson's Disease,Bacterial,10.11,10.32,6.74,61+,Female,89648,84.94,0.56,8.38,Therapy,46764.0,Yes,90.67,2364.0,2.71,42670.0,0.64,48.64 +84376,India,2018,Tuberculosis,Chronic,1.77,6.07,4.72,19-35,Female,704185,93.67,0.77,1.18,Vaccination,25870.0,Yes,92.75,3746.0,6.31,17411.0,0.64,40.93 +84386,India,2006,Cholera,Genetic,9.82,7.79,3.95,0-18,Other,407475,93.82,4.21,6.89,Medication,5237.0,Yes,78.45,1651.0,5.09,71035.0,0.82,25.75 +84397,Japan,2020,Cancer,Cardiovascular,14.31,2.33,8.36,0-18,Male,233874,75.12,3.94,4.19,Medication,37476.0,No,93.66,4601.0,5.99,95583.0,0.52,89.87 +84403,USA,2020,Cancer,Respiratory,6.63,0.46,1.35,19-35,Male,905751,97.23,1.06,0.9,Surgery,12304.0,No,54.44,4293.0,9.84,552.0,0.56,85.23 +84408,India,2013,Influenza,Respiratory,6.7,10.24,3.82,61+,Male,667847,65.26,1.82,3.56,Vaccination,25522.0,Yes,60.59,889.0,7.41,43402.0,0.79,88.23 +84410,South Korea,2021,Zika,Chronic,8.2,12.46,1.74,61+,Other,46076,92.26,4.91,2.99,Therapy,13370.0,Yes,60.71,3948.0,7.83,89342.0,0.46,34.89 +84420,Indonesia,2022,Measles,Chronic,13.52,9.02,4.53,61+,Female,71952,62.19,3.28,6.37,Surgery,5378.0,No,89.42,195.0,5.17,63521.0,0.89,78.93 +84423,Turkey,2022,Hypertension,Viral,9.56,13.1,8.92,19-35,Other,67901,78.44,2.82,3.16,Therapy,1096.0,Yes,97.25,4664.0,7.16,47233.0,0.51,49.92 +84430,Russia,2006,Dengue,Infectious,11.49,12.28,7.37,0-18,Other,574507,76.85,3.56,6.41,Surgery,48097.0,No,50.45,828.0,4.01,65880.0,0.47,78.62 +84434,Italy,2002,HIV/AIDS,Cardiovascular,10.96,3.64,7.39,36-60,Other,333240,87.3,4.21,9.02,Vaccination,42982.0,No,60.34,567.0,7.27,74369.0,0.52,51.73 +84448,Argentina,2021,Polio,Bacterial,15.82,12.74,5.74,19-35,Female,122965,73.05,3.82,5.74,Surgery,5705.0,Yes,85.7,4254.0,8.27,45467.0,0.72,58.16 +84449,UK,2012,Dengue,Bacterial,19.54,7.74,1.65,0-18,Male,201459,66.71,1.52,7.69,Vaccination,5741.0,No,75.76,3762.0,1.76,76315.0,0.87,61.27 +84450,Mexico,2022,Hypertension,Infectious,8.58,6.2,5.05,36-60,Male,201949,82.06,2.31,6.82,Vaccination,39762.0,Yes,56.31,1334.0,1.33,21282.0,0.82,58.11 +84454,Japan,2000,Cholera,Neurological,10.69,11.74,2.51,0-18,Male,601622,51.28,0.61,7.78,Surgery,10165.0,Yes,58.51,582.0,9.04,2562.0,0.74,24.92 +84462,China,2022,Dengue,Respiratory,3.93,10.06,6.54,0-18,Male,394897,88.71,1.9,9.19,Vaccination,38003.0,Yes,72.68,373.0,8.03,65614.0,0.78,72.93 +84464,USA,2006,COVID-19,Viral,17.93,14.07,9.45,0-18,Male,882000,82.09,1.92,5.33,Surgery,21462.0,No,67.37,1018.0,0.1,62389.0,0.52,54.43 +84466,Argentina,2017,Polio,Genetic,4.86,13.36,1.57,36-60,Female,471871,66.43,2.4,1.59,Surgery,18196.0,No,90.9,2689.0,2.08,19451.0,0.69,51.24 +84469,India,2009,Hepatitis,Cardiovascular,17.23,14.97,1.18,61+,Other,747648,55.63,1.35,4.69,Medication,35494.0,No,57.88,3923.0,9.8,81571.0,0.81,81.65 +84470,Mexico,2019,Malaria,Neurological,7.45,2.55,5.09,0-18,Female,519299,57.24,0.66,1.36,Vaccination,32141.0,Yes,66.54,323.0,1.49,98228.0,0.63,65.64 +84474,Argentina,2010,Cancer,Cardiovascular,2.77,12.09,1.39,36-60,Female,27041,54.21,3.48,1.62,Vaccination,33498.0,Yes,73.79,4096.0,9.13,97293.0,0.56,30.41 +84477,Argentina,2009,Parkinson's Disease,Metabolic,13.52,8.27,4.31,61+,Male,625802,54.73,3.28,6.1,Therapy,34799.0,No,90.64,2186.0,9.67,12706.0,0.47,64.5 +84481,South Korea,2003,Hepatitis,Neurological,19.28,9.77,4.87,61+,Female,899124,95.28,1.46,8.69,Surgery,2213.0,No,59.66,3902.0,7.31,73978.0,0.45,62.02 +84488,Australia,2001,Zika,Cardiovascular,14.79,6.38,5.68,36-60,Male,924443,70.67,2.28,5.71,Medication,43036.0,Yes,70.88,2465.0,3.78,84450.0,0.59,76.03 +84489,Turkey,2017,Malaria,Viral,18.84,10.16,2.22,19-35,Other,830184,63.2,4.04,0.74,Therapy,7985.0,No,59.57,4575.0,3.5,91945.0,0.62,76.65 +84490,Turkey,2015,Leprosy,Metabolic,2.63,5.92,6.43,0-18,Male,91370,91.88,2.81,3.7,Medication,35000.0,Yes,65.55,1262.0,9.43,48258.0,0.59,35.78 +84504,South Africa,2022,Ebola,Infectious,0.22,0.26,5.56,61+,Male,44143,90.02,3.9,2.95,Surgery,43167.0,No,88.7,797.0,3.67,69631.0,0.61,80.6 +84507,Argentina,2012,Influenza,Metabolic,15.84,8.52,0.32,0-18,Other,60552,91.79,3.92,4.23,Vaccination,36815.0,Yes,58.45,4207.0,2.7,25261.0,0.83,20.89 +84513,Brazil,2005,Parkinson's Disease,Bacterial,9.69,12.65,0.48,0-18,Other,486535,58.75,2.77,7.48,Vaccination,33787.0,Yes,54.29,1419.0,3.01,82923.0,0.88,54.35 +84526,Japan,2012,Parkinson's Disease,Parasitic,17.43,5.24,4.08,19-35,Female,515085,71.11,3.59,2.75,Surgery,30362.0,Yes,70.14,4090.0,8.16,6505.0,0.57,59.88 +84537,Canada,2013,Malaria,Cardiovascular,6.09,2.44,2.78,36-60,Female,89797,76.35,3.53,0.52,Therapy,37842.0,Yes,77.23,3314.0,7.82,31418.0,0.53,38.3 +84541,Italy,2018,Dengue,Viral,2.19,13.3,5.99,19-35,Male,275262,54.14,1.65,8.24,Therapy,45130.0,No,52.53,4787.0,6.41,27730.0,0.76,33.4 +84549,South Africa,2016,Malaria,Infectious,16.6,2.54,8.08,19-35,Other,291114,96.14,2.18,5.58,Medication,19230.0,Yes,87.62,3155.0,7.11,87688.0,0.54,23.21 +84568,South Korea,2005,Influenza,Bacterial,1.59,2.92,2.27,36-60,Other,531027,68.2,2.35,9.31,Therapy,6145.0,No,81.57,3114.0,1.1,29497.0,0.66,87.23 +84574,Italy,2009,Dengue,Neurological,1.1,0.5,8.3,36-60,Female,973779,91.47,3.11,2.04,Surgery,17021.0,Yes,59.41,4146.0,2.15,38085.0,0.64,70.53 +84575,South Korea,2024,Alzheimer's Disease,Infectious,15.73,2.89,8.49,19-35,Male,275081,71.24,2.12,8.99,Surgery,32169.0,No,79.7,4909.0,0.07,72342.0,0.85,29.5 +84579,Brazil,2009,Rabies,Bacterial,12.05,8.72,5.47,36-60,Male,871621,57.44,2.19,3.22,Vaccination,28023.0,Yes,81.2,1924.0,8.9,47484.0,0.83,77.96 +84590,Indonesia,2018,Zika,Autoimmune,10.21,4.36,4.54,36-60,Male,73684,72.21,2.31,8.27,Therapy,3333.0,No,57.83,3293.0,7.95,44057.0,0.6,60.0 +84591,Nigeria,2024,Parkinson's Disease,Parasitic,11.3,0.76,6.97,19-35,Male,434599,88.91,0.56,2.07,Surgery,7195.0,No,55.0,1184.0,3.11,80822.0,0.49,76.17 +84594,Canada,2005,Hypertension,Infectious,8.51,5.27,6.25,36-60,Male,922514,91.68,3.03,2.94,Vaccination,7048.0,Yes,87.31,3421.0,4.74,84921.0,0.52,23.48 +84599,Germany,2003,Tuberculosis,Respiratory,13.43,13.57,5.38,61+,Female,870780,98.64,0.97,7.59,Vaccination,6008.0,No,57.81,1681.0,0.26,17740.0,0.76,57.86 +84615,Canada,2008,HIV/AIDS,Bacterial,1.96,2.58,8.79,0-18,Female,820139,97.32,3.81,5.75,Medication,127.0,No,87.38,654.0,0.67,72810.0,0.65,53.83 +84617,Turkey,2019,Ebola,Infectious,3.11,1.89,1.32,36-60,Other,891825,56.81,4.0,4.35,Medication,38585.0,No,91.61,2688.0,1.43,3604.0,0.46,62.96 +84622,Japan,2016,Alzheimer's Disease,Cardiovascular,19.61,4.59,5.92,19-35,Female,258072,68.73,3.76,7.94,Therapy,41127.0,No,70.38,2898.0,8.44,38282.0,0.46,37.21 +84623,France,2012,Influenza,Respiratory,14.94,1.4,8.06,0-18,Other,652967,63.04,3.62,9.01,Vaccination,44837.0,No,51.69,1004.0,9.35,54509.0,0.44,28.33 +84634,Australia,2006,Rabies,Metabolic,14.45,2.27,7.23,0-18,Male,183621,50.68,2.29,8.5,Medication,48660.0,No,62.83,4615.0,3.81,68643.0,0.55,84.91 +84640,Russia,2000,Influenza,Infectious,16.65,2.95,4.35,36-60,Male,365005,50.86,3.31,5.69,Therapy,5349.0,Yes,96.71,3550.0,1.22,93439.0,0.43,49.63 +84641,Russia,2000,Leprosy,Autoimmune,8.46,5.08,5.49,61+,Female,903630,86.65,1.97,3.18,Surgery,9794.0,No,59.39,382.0,7.97,37268.0,0.78,63.9 +84646,Brazil,2001,Dengue,Cardiovascular,11.73,13.6,8.8,19-35,Male,722585,68.85,1.76,7.1,Surgery,40709.0,Yes,51.51,515.0,4.23,36002.0,0.44,37.03 +84647,USA,2021,Tuberculosis,Parasitic,4.73,13.24,8.12,36-60,Female,447100,63.17,1.14,9.48,Vaccination,45011.0,No,89.52,1115.0,8.83,13749.0,0.63,40.71 +84659,Nigeria,2008,Tuberculosis,Bacterial,16.19,6.85,5.29,0-18,Male,227034,95.72,0.82,9.52,Vaccination,40422.0,Yes,83.73,2531.0,5.96,25586.0,0.9,22.6 +84660,Australia,2008,Diabetes,Infectious,1.66,4.44,3.89,36-60,Other,475621,50.81,4.57,6.47,Surgery,35309.0,Yes,56.47,1334.0,6.38,4294.0,0.67,74.57 +84676,Indonesia,2009,Ebola,Bacterial,11.99,10.27,3.01,0-18,Male,226383,62.38,2.91,1.84,Surgery,11297.0,Yes,73.48,3541.0,2.17,61921.0,0.84,21.86 +84679,USA,2016,Measles,Metabolic,8.75,8.98,1.45,61+,Male,731597,93.35,0.75,1.58,Vaccination,21005.0,No,76.8,4283.0,4.83,21278.0,0.62,39.77 +84690,South Korea,2022,Hepatitis,Cardiovascular,1.29,7.97,3.09,0-18,Other,377061,52.28,0.86,9.08,Vaccination,32219.0,Yes,60.73,4989.0,5.78,98784.0,0.67,20.99 +84692,Nigeria,2010,Leprosy,Infectious,2.19,5.9,8.91,19-35,Other,320750,76.09,4.31,3.4,Therapy,3441.0,No,74.78,996.0,5.02,85967.0,0.83,22.15 +84693,Japan,2018,HIV/AIDS,Respiratory,0.4,4.15,9.52,36-60,Other,450484,80.01,2.71,9.37,Surgery,15601.0,No,66.08,3624.0,9.74,36270.0,0.55,29.94 +84694,Argentina,2017,Zika,Bacterial,9.13,6.81,8.22,36-60,Female,656586,60.03,2.87,6.03,Therapy,5971.0,No,93.24,2474.0,0.26,12271.0,0.84,22.5 +84697,Nigeria,2003,COVID-19,Genetic,5.66,5.59,8.69,61+,Female,669028,75.9,4.35,6.35,Therapy,43176.0,No,86.27,3573.0,0.03,53345.0,0.52,88.97 +84703,Indonesia,2018,Influenza,Infectious,16.66,8.78,5.79,0-18,Other,290750,66.67,4.91,3.52,Surgery,48710.0,Yes,89.07,1262.0,8.62,75590.0,0.41,62.21 +84706,Turkey,2000,Asthma,Infectious,17.06,1.41,3.19,61+,Male,357937,88.38,1.4,7.51,Surgery,49359.0,No,69.59,3881.0,5.49,27236.0,0.8,44.62 +84708,Japan,2000,Asthma,Infectious,3.33,3.31,4.24,19-35,Female,161968,55.88,3.16,9.24,Therapy,28098.0,Yes,83.6,4568.0,3.23,98464.0,0.6,40.11 +84709,Mexico,2011,Diabetes,Respiratory,0.71,3.8,2.31,19-35,Male,928269,52.41,0.78,1.81,Surgery,23625.0,No,53.65,4397.0,8.65,8216.0,0.43,27.27 +84712,Indonesia,2012,Asthma,Bacterial,13.56,2.54,5.16,0-18,Male,963932,84.99,2.37,8.09,Vaccination,48400.0,Yes,65.13,3007.0,8.06,42400.0,0.88,61.42 +84722,Japan,2007,Malaria,Metabolic,12.34,14.31,5.64,0-18,Male,507464,92.22,3.23,2.82,Surgery,27919.0,Yes,91.06,199.0,3.49,2661.0,0.45,66.67 +84726,Italy,2016,Tuberculosis,Cardiovascular,15.91,6.23,9.76,36-60,Male,316773,94.52,4.75,4.89,Surgery,10946.0,Yes,71.54,326.0,3.59,89197.0,0.68,43.67 +84728,Japan,2001,Parkinson's Disease,Genetic,17.45,3.68,4.66,19-35,Other,202088,72.04,0.75,7.18,Therapy,19067.0,Yes,66.12,2627.0,7.49,98125.0,0.58,62.49 +84730,India,2007,Alzheimer's Disease,Chronic,7.3,1.6,2.9,61+,Other,656083,60.43,1.22,3.27,Vaccination,16730.0,No,79.01,3491.0,4.23,29029.0,0.61,62.48 +84732,Germany,2005,Parkinson's Disease,Autoimmune,6.85,7.27,0.49,61+,Female,101020,70.27,3.41,1.49,Surgery,26218.0,Yes,94.69,2782.0,5.18,92676.0,0.53,81.38 +84736,Turkey,2002,Alzheimer's Disease,Chronic,17.13,5.33,1.07,61+,Male,226065,83.54,1.98,6.62,Vaccination,46872.0,No,62.24,4459.0,3.84,25887.0,0.54,67.49 +84739,Turkey,2018,Diabetes,Infectious,7.33,8.68,9.93,0-18,Female,362521,79.4,3.13,2.84,Medication,31211.0,No,54.98,4323.0,8.33,34905.0,0.89,62.29 +84740,Argentina,2002,Influenza,Respiratory,5.94,14.93,5.06,61+,Female,188427,91.32,4.27,1.91,Medication,8966.0,Yes,56.76,2030.0,2.44,54442.0,0.67,24.25 +84745,South Africa,2005,Zika,Bacterial,16.52,7.28,4.38,36-60,Male,325075,59.49,4.19,2.39,Surgery,8023.0,No,68.53,4397.0,0.4,8026.0,0.55,71.46 +84746,France,2021,HIV/AIDS,Neurological,3.2,14.77,5.75,0-18,Male,218644,66.33,0.64,3.78,Medication,26739.0,No,89.94,2623.0,4.37,21778.0,0.63,72.06 +84753,Japan,2020,Rabies,Genetic,5.54,14.84,1.76,61+,Female,784634,82.73,1.23,6.07,Therapy,28253.0,No,55.4,815.0,8.16,63840.0,0.45,52.56 +84756,Argentina,2020,Parkinson's Disease,Cardiovascular,0.8,10.81,0.33,19-35,Other,101925,63.61,3.13,3.99,Therapy,29265.0,Yes,58.44,4682.0,1.65,46692.0,0.69,77.49 +84765,UK,2011,Hepatitis,Bacterial,6.11,8.47,0.67,36-60,Male,436136,87.44,4.08,6.98,Medication,6733.0,No,56.66,2436.0,2.62,74192.0,0.59,34.08 +84766,Italy,2004,Rabies,Neurological,6.11,14.93,5.99,36-60,Other,417495,71.92,0.93,1.37,Therapy,11924.0,Yes,71.59,4401.0,7.79,55807.0,0.77,73.0 +84768,Saudi Arabia,2013,COVID-19,Chronic,12.16,10.0,2.83,61+,Other,422083,93.24,3.77,4.91,Medication,15514.0,No,85.71,1177.0,3.8,64362.0,0.45,35.96 +84772,Mexico,2000,Hypertension,Metabolic,9.55,8.41,0.22,19-35,Female,764006,73.36,2.2,5.94,Vaccination,4293.0,No,89.77,3287.0,5.73,64046.0,0.89,55.5 +84773,China,2024,HIV/AIDS,Bacterial,9.37,13.93,3.02,36-60,Other,120676,76.06,2.91,7.44,Therapy,38900.0,No,74.25,332.0,4.68,47210.0,0.42,48.46 +84784,Canada,2003,Alzheimer's Disease,Chronic,12.38,2.94,2.11,0-18,Female,411639,75.1,4.88,5.98,Vaccination,28532.0,No,84.34,4027.0,3.72,79149.0,0.83,51.23 +84788,India,2022,Cancer,Infectious,15.24,11.08,5.39,36-60,Female,402267,97.53,3.09,3.15,Surgery,9755.0,Yes,50.43,229.0,8.84,13836.0,0.82,82.2 +84789,Turkey,2007,Cholera,Chronic,0.58,1.46,2.6,36-60,Other,935596,68.52,1.3,6.32,Surgery,10302.0,No,98.11,302.0,4.23,91466.0,0.5,59.67 +84790,Nigeria,2024,Measles,Chronic,0.33,6.57,6.22,0-18,Female,122761,66.8,3.21,8.92,Surgery,44559.0,No,56.02,4026.0,7.83,73975.0,0.71,58.04 +84792,Brazil,2024,Dengue,Autoimmune,11.36,11.69,0.86,19-35,Female,70695,68.93,3.12,6.93,Medication,5454.0,Yes,72.56,2539.0,6.77,80606.0,0.72,70.42 +84793,Brazil,2023,Diabetes,Infectious,6.52,6.59,5.48,0-18,Male,602144,98.85,1.14,8.16,Surgery,15859.0,No,96.29,4648.0,9.0,9691.0,0.53,83.52 +84798,France,2021,Malaria,Metabolic,4.65,0.6,3.75,36-60,Male,133974,53.21,4.17,5.3,Medication,30212.0,Yes,62.37,2110.0,4.82,89897.0,0.89,31.91 +84800,Canada,2000,Alzheimer's Disease,Infectious,0.29,10.86,7.67,0-18,Other,841731,99.85,0.88,9.65,Therapy,25295.0,No,54.76,2332.0,9.67,43750.0,0.63,29.87 +84805,Germany,2013,Zika,Parasitic,7.12,7.17,3.85,19-35,Female,249115,83.95,3.28,5.59,Surgery,41381.0,Yes,65.86,2117.0,7.72,59419.0,0.68,33.99 +84826,Nigeria,2014,Dengue,Respiratory,16.01,5.89,8.93,19-35,Female,501811,95.03,1.96,1.05,Surgery,26843.0,No,65.72,3171.0,9.96,66406.0,0.45,72.55 +84832,Germany,2017,Parkinson's Disease,Autoimmune,1.29,0.86,0.79,36-60,Female,37900,94.16,4.47,1.62,Medication,35843.0,Yes,63.35,2863.0,0.22,3619.0,0.86,76.99 +84835,South Korea,2017,Alzheimer's Disease,Parasitic,12.03,6.05,5.89,36-60,Other,91414,66.22,1.67,4.94,Vaccination,13395.0,Yes,82.88,4604.0,6.61,34535.0,0.44,74.84 +84837,UK,2022,Polio,Infectious,0.2,8.3,5.16,36-60,Female,320245,88.65,3.78,1.64,Therapy,25400.0,Yes,64.14,4541.0,3.96,28154.0,0.57,31.35 +84847,Turkey,2005,Diabetes,Metabolic,3.94,13.87,0.65,19-35,Male,236308,76.24,3.22,5.59,Vaccination,44814.0,No,64.84,1229.0,0.81,32483.0,0.61,49.62 +84853,Russia,2013,COVID-19,Neurological,15.65,6.78,4.55,36-60,Other,703155,54.74,4.73,6.67,Surgery,11601.0,Yes,95.17,2880.0,9.0,36521.0,0.64,23.04 +84855,Mexico,2002,Zika,Cardiovascular,13.43,2.72,8.05,61+,Male,508600,83.31,4.25,2.06,Therapy,38652.0,No,71.42,195.0,0.77,27192.0,0.54,24.17 +84856,UK,2002,Alzheimer's Disease,Metabolic,17.67,5.41,9.41,0-18,Other,381407,94.94,1.43,5.58,Therapy,23756.0,Yes,95.11,2250.0,2.03,76589.0,0.53,49.57 +84864,Russia,2004,COVID-19,Neurological,11.14,2.34,7.74,0-18,Female,822891,96.43,1.92,2.32,Vaccination,11727.0,Yes,64.61,970.0,0.76,31393.0,0.76,29.41 +84866,South Korea,2019,Rabies,Respiratory,8.79,8.34,1.89,0-18,Female,500345,88.16,2.57,5.77,Therapy,11985.0,Yes,76.13,724.0,2.86,24621.0,0.43,78.35 +84872,Saudi Arabia,2012,Leprosy,Viral,8.3,7.01,5.82,0-18,Other,900920,86.98,3.04,5.58,Surgery,16894.0,Yes,59.42,1729.0,9.5,90095.0,0.47,37.08 +84877,Japan,2017,Parkinson's Disease,Viral,5.71,1.89,0.39,0-18,Male,961554,59.12,1.73,6.14,Surgery,38125.0,Yes,54.86,2519.0,1.21,80740.0,0.44,41.9 +84878,South Africa,2011,Measles,Genetic,13.06,13.41,7.56,61+,Female,941547,53.37,1.89,2.55,Therapy,29414.0,Yes,67.44,3305.0,4.83,50031.0,0.48,77.43 +84881,Russia,2012,Asthma,Neurological,5.15,1.6,8.22,61+,Female,707246,70.2,3.5,8.02,Medication,10159.0,Yes,85.31,2264.0,8.4,98010.0,0.71,22.51 +84887,Italy,2018,Zika,Autoimmune,18.24,5.22,8.08,61+,Male,498472,66.82,4.98,1.64,Vaccination,17579.0,No,71.43,365.0,7.06,45024.0,0.7,45.64 +84888,UK,2015,COVID-19,Chronic,13.73,2.74,1.62,0-18,Female,731664,81.79,1.69,9.5,Medication,31696.0,Yes,60.46,3036.0,9.7,33122.0,0.72,56.39 +84895,Nigeria,2001,Rabies,Infectious,12.87,13.53,0.13,61+,Male,31525,62.66,3.8,2.46,Surgery,2003.0,Yes,64.89,2293.0,8.74,91711.0,0.44,52.55 +84908,Australia,2024,Hepatitis,Metabolic,1.95,3.65,1.32,61+,Other,528509,88.95,4.77,3.0,Surgery,36139.0,No,98.84,2481.0,8.38,72018.0,0.64,83.57 +84912,India,2024,Cholera,Autoimmune,11.34,14.24,7.23,19-35,Female,819144,82.55,1.5,6.2,Vaccination,19376.0,Yes,62.88,3063.0,9.49,19095.0,0.76,46.5 +84925,China,2008,Zika,Metabolic,7.45,5.0,8.44,36-60,Male,816944,90.31,1.44,5.54,Medication,35798.0,No,79.91,2496.0,6.74,14001.0,0.46,37.22 +84934,Argentina,2004,Rabies,Neurological,6.78,10.58,2.23,0-18,Male,461297,71.03,4.06,3.27,Medication,8052.0,Yes,83.22,213.0,3.12,61333.0,0.8,28.16 +84951,South Africa,2008,Asthma,Parasitic,9.56,0.95,2.51,19-35,Female,782929,74.5,2.17,4.17,Surgery,5574.0,Yes,75.4,4200.0,5.85,65722.0,0.48,71.44 +84959,Japan,2018,Hepatitis,Parasitic,14.14,12.4,6.87,36-60,Female,494818,72.85,1.64,6.47,Medication,24564.0,Yes,79.11,1704.0,1.13,62256.0,0.77,63.29 +84962,Turkey,2013,Hepatitis,Bacterial,12.84,7.23,0.55,61+,Other,826787,63.43,4.05,3.99,Medication,37681.0,No,58.26,1746.0,0.49,74038.0,0.75,70.97 +84967,Canada,2001,Rabies,Infectious,19.22,4.06,0.28,61+,Male,883391,86.49,2.1,9.87,Therapy,14882.0,No,54.8,1438.0,3.66,62095.0,0.79,30.66 +84980,Turkey,2024,Parkinson's Disease,Respiratory,6.68,14.18,5.14,19-35,Female,830269,87.56,2.13,0.5,Vaccination,22344.0,No,94.18,1186.0,3.88,91051.0,0.65,74.64 +84982,Argentina,2015,Hepatitis,Respiratory,15.24,8.49,5.01,0-18,Other,856734,55.65,2.5,3.87,Medication,43811.0,Yes,76.8,983.0,4.08,30682.0,0.69,29.84 +84988,Canada,2021,Alzheimer's Disease,Parasitic,7.31,14.56,3.95,61+,Other,743840,97.96,4.94,1.28,Surgery,22604.0,No,94.34,3805.0,3.81,52589.0,0.73,33.68 +84993,France,2007,Alzheimer's Disease,Parasitic,19.27,11.34,9.12,0-18,Other,565881,98.47,3.03,1.78,Therapy,2647.0,Yes,58.35,2796.0,3.85,25474.0,0.88,88.17 +84994,Germany,2003,Malaria,Genetic,4.19,13.47,4.12,61+,Female,399154,94.95,1.14,6.39,Vaccination,40556.0,No,61.84,734.0,5.41,87088.0,0.67,48.37 +84999,France,2024,Polio,Metabolic,14.8,6.6,1.71,0-18,Male,493680,66.32,0.79,8.35,Vaccination,45985.0,Yes,91.74,4092.0,0.17,61050.0,0.85,33.42 +85002,Mexico,2019,HIV/AIDS,Neurological,14.13,3.47,3.48,19-35,Female,488801,91.86,3.39,1.37,Medication,39386.0,No,75.86,3982.0,7.49,28961.0,0.65,30.51 +85007,Nigeria,2000,Malaria,Autoimmune,3.32,12.16,8.84,36-60,Male,417787,54.99,1.02,9.85,Surgery,49373.0,No,98.48,3052.0,3.02,50634.0,0.84,31.33 +85012,Indonesia,2007,Hypertension,Genetic,5.23,10.87,9.29,0-18,Other,979591,60.46,4.09,4.94,Surgery,6601.0,Yes,71.76,2260.0,0.7,89864.0,0.86,48.78 +85015,South Africa,2024,Diabetes,Chronic,11.05,8.83,4.17,19-35,Other,682589,72.69,4.92,0.8,Vaccination,28674.0,Yes,71.14,2129.0,1.76,8340.0,0.74,67.72 +85023,Russia,2000,Dengue,Parasitic,19.57,9.27,9.0,0-18,Male,102472,60.4,1.88,1.79,Surgery,38854.0,Yes,93.04,639.0,0.86,95960.0,0.57,36.32 +85029,Brazil,2006,Ebola,Cardiovascular,13.02,9.98,7.99,36-60,Male,417773,63.62,0.79,7.04,Therapy,49282.0,No,60.55,218.0,7.89,84516.0,0.79,69.16 +85033,Japan,2011,Zika,Metabolic,17.77,4.41,8.78,19-35,Female,692545,99.16,3.62,0.54,Medication,16977.0,No,65.77,1575.0,3.67,93290.0,0.53,33.0 +85035,Saudi Arabia,2023,HIV/AIDS,Genetic,14.82,12.51,9.17,19-35,Female,486521,53.88,2.93,9.83,Vaccination,31734.0,Yes,73.93,4745.0,6.07,9909.0,0.69,30.96 +85052,Germany,2023,Hepatitis,Cardiovascular,19.1,1.18,7.88,61+,Other,627517,94.43,2.88,5.14,Medication,7596.0,No,53.2,2208.0,8.52,79645.0,0.65,53.46 +85056,France,2013,Polio,Autoimmune,13.07,8.71,9.96,36-60,Other,188146,85.84,3.05,1.15,Vaccination,32235.0,No,72.75,3265.0,6.56,82963.0,0.51,73.1 +85058,India,2002,Cancer,Genetic,1.84,11.19,0.76,61+,Female,893442,77.95,1.34,2.18,Vaccination,12894.0,Yes,67.23,3139.0,6.07,5644.0,0.49,29.25 +85063,Saudi Arabia,2012,Cancer,Genetic,8.42,3.8,4.02,0-18,Other,734511,55.66,0.66,3.09,Surgery,24209.0,Yes,58.09,99.0,7.53,97956.0,0.72,28.94 +85072,Australia,2023,Polio,Cardiovascular,13.84,12.66,3.96,0-18,Female,91031,54.94,3.24,5.22,Therapy,33456.0,No,63.3,798.0,4.5,3761.0,0.81,68.13 +85077,India,2002,Polio,Bacterial,11.53,5.96,9.35,61+,Male,179374,54.8,2.03,1.73,Medication,33420.0,Yes,61.66,4918.0,3.57,57246.0,0.51,71.37 +85080,Canada,2016,Dengue,Infectious,9.37,5.47,8.52,36-60,Female,302303,54.75,4.18,8.84,Vaccination,7267.0,Yes,58.09,4944.0,5.62,43874.0,0.48,47.42 +85081,Japan,2010,COVID-19,Metabolic,5.93,5.97,9.05,0-18,Male,1190,64.63,1.95,9.3,Medication,36182.0,Yes,72.28,882.0,1.17,55240.0,0.41,69.87 +85084,Saudi Arabia,2010,COVID-19,Metabolic,10.44,7.95,5.92,61+,Other,655001,60.43,3.56,4.84,Therapy,21085.0,Yes,62.56,4023.0,3.16,27863.0,0.5,61.45 +85086,Indonesia,2018,Cancer,Neurological,13.19,13.74,8.14,61+,Male,25116,55.85,2.03,4.36,Medication,26054.0,No,66.51,987.0,1.95,65510.0,0.44,80.8 +85101,China,2018,Polio,Metabolic,5.44,5.92,4.56,19-35,Male,351064,52.91,0.59,2.63,Surgery,9581.0,No,75.89,2993.0,0.11,37533.0,0.59,22.63 +85103,Germany,2009,Dengue,Infectious,14.88,3.87,6.73,36-60,Other,707354,75.67,1.14,5.6,Surgery,18326.0,Yes,84.52,2150.0,0.8,80752.0,0.6,23.28 +85104,Italy,2017,Measles,Viral,8.14,14.41,1.55,19-35,Female,355220,77.54,0.86,2.78,Therapy,18913.0,Yes,51.92,3393.0,1.4,73245.0,0.44,67.32 +85114,UK,2014,Tuberculosis,Respiratory,17.9,5.86,9.9,61+,Male,484897,91.57,1.17,1.88,Surgery,813.0,Yes,75.34,1815.0,6.24,44555.0,0.82,21.73 +85116,South Africa,2001,Dengue,Autoimmune,11.34,11.82,0.8,19-35,Female,123804,94.46,4.38,6.26,Surgery,48091.0,No,62.59,2829.0,3.12,32089.0,0.53,86.84 +85128,Australia,2004,Asthma,Chronic,6.68,2.9,9.52,0-18,Female,522676,72.7,2.41,3.03,Vaccination,30426.0,Yes,84.5,2195.0,7.32,7576.0,0.42,39.05 +85134,Mexico,2013,Cholera,Metabolic,6.62,4.63,0.22,61+,Male,51854,58.49,0.85,6.71,Medication,41368.0,Yes,87.94,4345.0,7.23,89040.0,0.65,32.47 +85143,China,2018,Hypertension,Cardiovascular,6.49,9.12,5.46,36-60,Other,494877,61.04,3.73,3.44,Therapy,8350.0,Yes,76.04,2352.0,3.65,36454.0,0.46,65.87 +85144,Canada,2009,Malaria,Cardiovascular,11.06,11.94,7.15,0-18,Male,919773,60.08,1.9,6.55,Therapy,32526.0,No,98.33,4110.0,4.66,8365.0,0.84,58.13 +85145,Turkey,2006,Influenza,Neurological,16.57,8.41,3.72,19-35,Other,644807,50.91,3.65,1.13,Medication,27085.0,Yes,58.76,4528.0,2.6,99465.0,0.71,51.29 +85147,Germany,2012,Malaria,Genetic,17.49,5.71,2.32,0-18,Female,180255,67.09,2.79,5.53,Vaccination,21458.0,Yes,74.59,1823.0,2.62,95550.0,0.45,77.15 +85157,Brazil,2000,Polio,Autoimmune,10.3,11.1,6.48,0-18,Other,93522,54.34,3.99,2.75,Vaccination,19103.0,Yes,87.69,36.0,8.53,56088.0,0.67,84.62 +85168,USA,2007,Tuberculosis,Infectious,1.91,1.46,4.52,36-60,Male,330161,75.34,0.66,9.49,Medication,8035.0,Yes,61.68,4245.0,1.95,24534.0,0.85,57.08 +85176,South Africa,2017,Cholera,Viral,4.15,5.97,2.63,19-35,Male,587785,62.79,3.05,9.44,Surgery,38929.0,No,59.84,926.0,4.41,51986.0,0.54,38.61 +85178,Italy,2009,Alzheimer's Disease,Respiratory,12.38,12.83,9.0,61+,Other,822820,61.82,2.64,2.74,Surgery,13618.0,No,88.76,3983.0,8.98,2728.0,0.78,82.55 +85182,Russia,2023,Hepatitis,Autoimmune,10.69,6.0,1.47,36-60,Female,732552,53.52,3.35,7.43,Vaccination,31153.0,No,87.83,1693.0,6.02,30220.0,0.56,84.54 +85185,Italy,2004,Hepatitis,Autoimmune,2.05,4.03,8.25,0-18,Female,997473,55.82,2.22,2.63,Medication,11265.0,No,70.76,4951.0,6.48,95245.0,0.79,77.33 +85186,USA,2007,Rabies,Parasitic,4.07,7.95,9.51,19-35,Other,912339,86.42,2.53,7.34,Surgery,49841.0,Yes,92.21,3870.0,1.56,9177.0,0.6,75.33 +85187,Brazil,2008,Hypertension,Autoimmune,8.2,5.96,3.53,0-18,Female,309733,89.2,2.67,8.7,Therapy,37275.0,No,84.12,2228.0,8.41,96239.0,0.87,37.07 +85194,Russia,2021,Asthma,Parasitic,18.72,2.27,5.01,0-18,Male,533733,81.24,1.4,3.89,Vaccination,3826.0,No,59.44,4109.0,9.94,34957.0,0.87,32.83 +85195,Brazil,2012,Cholera,Infectious,18.25,3.03,1.69,19-35,Other,640165,61.07,4.35,5.57,Therapy,25526.0,Yes,93.05,16.0,2.32,39707.0,0.83,76.66 +85198,Indonesia,2021,Dengue,Parasitic,9.41,6.5,7.94,36-60,Other,340447,69.35,1.22,1.16,Therapy,14041.0,Yes,54.52,100.0,6.9,68649.0,0.41,73.72 +85203,Argentina,2009,Measles,Neurological,16.12,1.83,6.4,61+,Female,730429,84.42,2.59,8.9,Medication,39818.0,Yes,74.4,307.0,8.54,24039.0,0.67,52.29 +85216,South Korea,2022,Malaria,Neurological,11.15,7.86,8.24,36-60,Male,423817,56.46,1.57,7.35,Vaccination,29935.0,No,97.69,4737.0,5.55,99692.0,0.86,21.8 +85222,Brazil,2016,Asthma,Bacterial,9.5,6.46,3.86,19-35,Female,252038,62.59,4.41,0.56,Surgery,12503.0,Yes,98.6,3421.0,6.35,75802.0,0.44,50.13 +85227,Mexico,2000,Ebola,Bacterial,1.37,13.38,5.45,36-60,Female,718718,59.08,3.02,6.78,Surgery,3220.0,Yes,96.66,2450.0,3.79,12041.0,0.7,61.68 +85229,Indonesia,2012,Polio,Bacterial,18.41,1.55,2.31,0-18,Other,969889,60.14,0.65,7.72,Medication,42758.0,No,98.15,3733.0,0.8,72323.0,0.8,31.99 +85233,UK,2003,Parkinson's Disease,Cardiovascular,14.34,11.08,9.22,61+,Female,806161,52.66,4.14,7.8,Vaccination,2070.0,Yes,52.82,230.0,3.75,18724.0,0.46,20.54 +85235,China,2007,Diabetes,Chronic,5.81,12.5,2.11,0-18,Male,69230,96.94,3.23,8.86,Vaccination,12822.0,No,85.82,1454.0,1.16,72557.0,0.65,83.21 +85238,Germany,2011,Parkinson's Disease,Respiratory,8.66,10.85,8.3,36-60,Other,874065,96.32,0.73,5.57,Therapy,34101.0,Yes,50.74,2149.0,6.47,51880.0,0.65,66.88 +85243,USA,2006,Zika,Autoimmune,7.86,6.99,8.6,0-18,Other,788636,82.07,0.58,5.02,Therapy,539.0,No,95.55,1421.0,2.23,43364.0,0.59,65.66 +85257,China,2015,Hepatitis,Genetic,15.88,5.34,5.89,19-35,Other,95021,78.43,4.82,1.09,Therapy,35696.0,No,75.21,2926.0,9.23,2909.0,0.48,33.39 +85259,South Korea,2008,Measles,Genetic,19.36,1.76,1.5,0-18,Female,344783,84.51,3.27,9.67,Therapy,1683.0,Yes,84.39,849.0,9.89,41599.0,0.81,22.82 +85263,Saudi Arabia,2005,Diabetes,Viral,8.27,14.36,5.96,19-35,Female,37128,86.58,3.74,4.56,Surgery,17240.0,Yes,86.25,4186.0,9.66,82350.0,0.86,74.87 +85264,Japan,2021,Dengue,Genetic,1.9,3.09,0.26,36-60,Female,42764,72.65,1.04,2.85,Surgery,40663.0,Yes,51.85,747.0,6.97,17549.0,0.72,58.79 +85270,Mexico,2009,COVID-19,Chronic,10.44,7.49,5.78,36-60,Male,993754,76.2,4.34,2.34,Vaccination,49150.0,Yes,89.6,2686.0,4.43,20387.0,0.4,37.43 +85280,Nigeria,2008,COVID-19,Infectious,15.27,8.54,6.86,0-18,Male,800033,70.09,1.01,9.84,Surgery,15797.0,Yes,66.05,3552.0,2.08,60851.0,0.54,70.62 +85284,Nigeria,2004,Diabetes,Metabolic,1.79,14.21,8.53,19-35,Other,492220,90.8,1.19,5.6,Therapy,46023.0,No,83.33,2562.0,3.33,28709.0,0.57,36.79 +85286,Germany,2000,Parkinson's Disease,Autoimmune,4.63,14.01,0.63,61+,Female,444617,76.69,2.08,9.2,Medication,35094.0,No,88.64,3042.0,3.13,45135.0,0.69,44.15 +85288,Mexico,2024,Hepatitis,Metabolic,1.93,3.23,4.84,19-35,Female,942697,85.84,4.78,6.82,Medication,47392.0,No,72.24,493.0,7.22,43341.0,0.73,41.36 +85289,China,2001,Ebola,Genetic,8.16,3.27,7.44,36-60,Female,634487,80.75,3.18,1.45,Therapy,49724.0,Yes,82.53,3154.0,8.27,18641.0,0.83,82.96 +85290,France,2004,Dengue,Infectious,8.41,0.11,0.29,0-18,Other,720226,89.42,2.64,6.53,Medication,7185.0,Yes,81.08,3508.0,1.72,38125.0,0.63,55.83 +85295,India,2019,Rabies,Respiratory,13.53,5.97,5.17,0-18,Male,87411,92.56,4.48,9.88,Vaccination,303.0,No,97.74,2617.0,7.47,76328.0,0.8,32.16 +85296,India,2002,Tuberculosis,Parasitic,5.91,6.79,4.87,61+,Female,858916,86.82,1.48,4.09,Medication,40014.0,No,74.6,2179.0,6.6,59485.0,0.72,53.73 +85312,UK,2007,Zika,Chronic,13.08,12.07,4.79,0-18,Other,427229,91.16,1.28,0.95,Therapy,42898.0,Yes,80.15,1109.0,9.74,82089.0,0.47,82.66 +85316,China,2014,Cholera,Viral,12.21,0.97,2.7,0-18,Female,54336,91.44,2.49,1.1,Surgery,18412.0,No,67.24,446.0,0.47,51370.0,0.82,86.24 +85317,South Africa,2002,Malaria,Parasitic,4.94,14.11,6.04,36-60,Female,644905,78.28,1.61,1.36,Vaccination,13719.0,No,77.34,3241.0,9.44,13646.0,0.4,29.05 +85318,Germany,2006,Leprosy,Respiratory,6.73,2.9,9.1,0-18,Other,688570,83.55,0.81,1.43,Medication,38449.0,Yes,55.34,3875.0,1.03,2935.0,0.56,49.91 +85321,Turkey,2000,Measles,Genetic,1.6,3.39,0.95,19-35,Male,69881,80.61,1.18,4.31,Surgery,43128.0,Yes,89.89,776.0,2.23,79772.0,0.53,82.25 +85331,India,2014,COVID-19,Parasitic,10.85,7.98,2.8,19-35,Other,505374,92.7,3.65,1.98,Medication,33859.0,No,89.47,928.0,2.3,2013.0,0.69,61.85 +85332,South Korea,2010,Ebola,Respiratory,12.43,1.93,4.6,19-35,Other,361147,84.38,2.49,2.5,Therapy,1123.0,Yes,95.03,1137.0,1.36,71109.0,0.68,48.79 +85345,Japan,2011,Diabetes,Neurological,13.55,4.92,1.05,61+,Female,466170,65.01,0.84,2.75,Surgery,44238.0,No,78.6,1477.0,0.51,73756.0,0.41,20.35 +85346,Nigeria,2009,Parkinson's Disease,Metabolic,10.27,2.58,4.18,19-35,Female,76684,57.42,4.1,6.14,Vaccination,45315.0,Yes,61.02,1624.0,0.59,25208.0,0.7,88.06 +85348,Argentina,2013,Polio,Neurological,0.11,6.81,8.36,36-60,Other,878654,63.56,4.78,9.41,Vaccination,6166.0,No,93.58,2766.0,2.46,71249.0,0.44,63.01 +85355,Australia,2011,Hepatitis,Autoimmune,18.01,11.48,4.89,19-35,Male,742396,53.1,3.57,1.41,Therapy,30075.0,No,96.56,3574.0,0.08,51876.0,0.56,86.13 +85356,Saudi Arabia,2023,Parkinson's Disease,Cardiovascular,9.05,13.32,7.05,0-18,Male,703913,94.1,0.96,1.43,Surgery,25247.0,Yes,76.84,2864.0,8.96,62159.0,0.8,81.39 +85367,Japan,2001,Dengue,Cardiovascular,10.97,8.76,4.48,36-60,Female,119085,75.01,3.13,1.69,Surgery,37791.0,No,79.96,3384.0,6.34,77146.0,0.82,84.71 +85389,Turkey,2020,Tuberculosis,Metabolic,16.0,2.58,7.02,0-18,Female,300216,90.87,3.55,6.01,Surgery,16212.0,No,68.96,2414.0,4.16,23454.0,0.48,75.62 +85392,Indonesia,2013,Polio,Neurological,16.53,13.57,5.89,0-18,Male,544137,71.21,2.21,4.23,Surgery,8657.0,Yes,98.12,4463.0,9.05,42122.0,0.76,82.74 +85398,Japan,2007,Zika,Autoimmune,6.28,4.11,7.16,0-18,Other,713925,60.12,3.07,5.66,Vaccination,23625.0,Yes,63.87,4600.0,1.76,91848.0,0.58,86.64 +85402,Germany,2022,Leprosy,Cardiovascular,10.04,13.31,6.64,61+,Female,879837,50.15,1.97,4.1,Medication,44446.0,Yes,63.33,330.0,2.59,47320.0,0.69,36.74 +85411,Saudi Arabia,2010,Polio,Metabolic,10.8,6.01,6.75,19-35,Other,555937,88.96,2.99,8.97,Vaccination,32620.0,Yes,66.04,4348.0,3.65,48436.0,0.46,71.03 +85424,South Africa,2005,Tuberculosis,Parasitic,18.95,4.02,7.14,36-60,Other,868372,85.11,1.22,0.66,Medication,37309.0,No,85.97,595.0,3.07,28315.0,0.54,67.11 +85432,Russia,2012,Hypertension,Chronic,19.02,11.22,6.11,36-60,Other,758236,77.91,0.84,1.84,Medication,13542.0,No,73.71,1099.0,5.52,32495.0,0.63,27.68 +85434,Russia,2006,Parkinson's Disease,Metabolic,16.22,3.63,2.46,0-18,Other,109398,60.11,2.78,4.57,Medication,41557.0,No,83.74,1338.0,4.81,98706.0,0.57,71.32 +85445,Indonesia,2022,Rabies,Parasitic,17.0,4.28,7.16,36-60,Female,736173,78.06,3.94,6.22,Surgery,26250.0,Yes,71.69,1644.0,5.46,87276.0,0.48,48.41 +85446,USA,2023,Hypertension,Chronic,13.42,5.78,0.25,61+,Female,320793,70.26,1.95,1.82,Therapy,45895.0,No,60.28,1533.0,4.13,78857.0,0.87,35.86 +85456,Saudi Arabia,2024,Parkinson's Disease,Viral,12.71,14.35,6.13,61+,Male,271004,61.28,3.58,9.08,Medication,11051.0,Yes,73.46,2646.0,2.31,59165.0,0.8,88.35 +85458,Indonesia,2023,Hypertension,Respiratory,18.2,13.56,2.67,0-18,Female,940203,74.55,2.7,7.42,Surgery,45157.0,Yes,89.94,2872.0,5.56,61345.0,0.49,47.58 +85462,Indonesia,2021,Influenza,Viral,14.02,9.96,7.17,0-18,Female,381020,52.43,4.41,3.33,Therapy,14218.0,No,55.25,2090.0,7.97,13639.0,0.58,63.72 +85465,Germany,2014,Hypertension,Genetic,0.53,6.42,7.05,36-60,Male,339470,91.63,1.66,7.97,Medication,43018.0,No,85.68,4447.0,9.9,26593.0,0.45,49.21 +85471,South Africa,2009,Influenza,Respiratory,6.07,9.04,1.65,61+,Other,301016,94.3,1.52,5.17,Surgery,11663.0,Yes,75.27,4702.0,5.9,40423.0,0.88,44.23 +85473,Germany,2014,Parkinson's Disease,Bacterial,8.57,9.88,3.12,19-35,Other,713942,68.1,3.68,0.78,Medication,16181.0,Yes,71.92,1708.0,3.37,24077.0,0.6,83.47 +85475,Australia,2007,HIV/AIDS,Cardiovascular,18.48,10.56,4.59,36-60,Female,661171,95.2,2.21,2.46,Surgery,38506.0,No,78.83,4176.0,8.37,20320.0,0.85,77.42 +85476,France,2020,Cholera,Infectious,18.02,12.35,2.16,36-60,Female,703828,56.75,4.09,4.2,Therapy,13311.0,Yes,87.31,19.0,6.83,42611.0,0.72,85.03 +85477,USA,2016,Dengue,Neurological,9.04,5.27,5.52,19-35,Male,798713,91.17,3.06,3.48,Therapy,5183.0,Yes,77.04,2715.0,9.58,11546.0,0.46,39.62 +85478,Mexico,2000,Zika,Infectious,18.44,0.79,2.55,61+,Other,247644,97.85,1.76,0.53,Vaccination,38683.0,Yes,96.71,4652.0,0.35,35552.0,0.5,78.5 +85479,UK,2011,Malaria,Respiratory,19.38,3.9,3.93,0-18,Other,226937,51.47,2.81,2.99,Vaccination,7776.0,Yes,55.71,4780.0,8.82,85109.0,0.69,64.04 +85480,Brazil,2005,Alzheimer's Disease,Respiratory,2.92,13.86,2.19,61+,Female,178173,91.33,0.69,4.13,Surgery,33903.0,No,56.25,1711.0,5.14,64850.0,0.76,67.55 +85487,UK,2013,Asthma,Neurological,14.76,11.2,0.96,61+,Female,492503,87.11,2.48,7.9,Medication,25581.0,Yes,98.97,4385.0,1.45,11261.0,0.64,23.32 +85498,Australia,2001,Alzheimer's Disease,Viral,12.67,14.81,6.59,61+,Female,677854,56.5,0.83,4.86,Vaccination,12777.0,Yes,89.76,3524.0,2.29,87424.0,0.74,27.68 +85500,Germany,2011,Dengue,Bacterial,19.72,0.85,0.69,61+,Other,679424,65.51,1.61,4.86,Medication,25594.0,Yes,80.55,2050.0,8.24,7283.0,0.59,33.43 +85502,Australia,2005,Hepatitis,Bacterial,11.37,5.89,3.47,19-35,Female,33908,69.65,2.14,9.2,Surgery,27118.0,Yes,82.6,3687.0,7.75,78667.0,0.47,49.99 +85504,Nigeria,2013,Tuberculosis,Genetic,15.59,10.57,9.34,61+,Female,652191,71.88,2.14,7.6,Vaccination,44759.0,No,63.16,4432.0,8.74,80368.0,0.74,78.6 +85507,USA,2007,Dengue,Infectious,17.26,2.28,2.61,19-35,Other,925834,61.95,1.33,6.26,Medication,37692.0,No,51.8,1303.0,0.51,54918.0,0.45,45.66 +85529,Brazil,2021,Zika,Neurological,10.53,14.61,6.87,61+,Other,502635,78.16,1.75,9.4,Medication,30315.0,Yes,54.54,1598.0,0.09,55925.0,0.47,74.49 +85536,UK,2015,Cancer,Genetic,5.57,0.31,7.12,61+,Other,22027,91.41,2.63,2.11,Surgery,9179.0,No,98.44,1315.0,3.78,82898.0,0.46,72.23 +85546,Mexico,2005,Tuberculosis,Neurological,11.86,5.78,0.17,19-35,Male,235410,95.8,2.13,5.03,Surgery,43427.0,Yes,64.39,3188.0,5.44,19677.0,0.41,23.5 +85553,India,2021,Dengue,Respiratory,14.34,9.53,4.83,36-60,Male,502966,79.99,2.02,4.68,Therapy,5101.0,No,81.4,3575.0,2.51,59837.0,0.8,28.05 +85559,Italy,2002,HIV/AIDS,Autoimmune,12.83,0.43,5.25,36-60,Other,403844,61.58,1.37,7.07,Surgery,10909.0,Yes,76.22,1300.0,2.86,86309.0,0.89,50.51 +85564,France,2004,Dengue,Chronic,9.86,12.66,7.26,61+,Male,397276,58.88,0.58,9.18,Vaccination,37865.0,No,51.89,1666.0,2.75,33726.0,0.79,86.32 +85565,South Korea,2020,Rabies,Autoimmune,5.84,12.37,9.31,61+,Other,40576,68.75,3.0,0.9,Medication,6871.0,Yes,94.96,2126.0,4.3,21336.0,0.75,71.12 +85569,Turkey,2015,Leprosy,Parasitic,7.18,6.7,7.63,0-18,Male,173468,92.37,3.22,3.74,Therapy,3459.0,No,63.26,3905.0,2.06,56246.0,0.54,63.15 +85580,Russia,2008,Hypertension,Autoimmune,13.34,3.2,5.87,19-35,Male,669576,70.65,1.53,4.77,Surgery,2921.0,Yes,60.17,2514.0,7.36,16218.0,0.59,48.53 +85582,Australia,2005,COVID-19,Infectious,19.23,7.82,5.64,61+,Other,967871,77.65,2.78,2.24,Vaccination,49416.0,Yes,98.71,970.0,6.78,7444.0,0.86,68.8 +85584,Germany,2001,Cancer,Parasitic,19.65,9.49,3.4,61+,Male,714660,81.32,3.47,6.26,Surgery,11290.0,Yes,60.56,3027.0,7.42,84504.0,0.6,52.77 +85600,Japan,2023,Zika,Parasitic,8.98,6.13,5.27,36-60,Male,900156,72.47,2.1,6.33,Vaccination,10934.0,Yes,64.84,495.0,0.91,58659.0,0.43,46.92 +85619,Nigeria,2003,Cancer,Cardiovascular,16.13,7.28,7.33,19-35,Female,440443,97.58,3.3,2.94,Vaccination,30824.0,No,70.82,4818.0,6.8,8500.0,0.46,45.13 +85625,Nigeria,2004,Leprosy,Chronic,8.57,13.2,1.33,36-60,Female,565832,78.31,1.45,1.7,Medication,36708.0,Yes,91.82,2257.0,1.35,76955.0,0.54,78.21 +85627,Turkey,2017,COVID-19,Parasitic,17.69,5.7,6.97,0-18,Male,367660,96.28,2.84,8.92,Vaccination,4032.0,No,77.36,1899.0,6.97,34306.0,0.58,36.87 +85630,South Africa,2021,Tuberculosis,Chronic,3.88,5.22,8.4,19-35,Female,899019,53.99,3.85,4.74,Vaccination,39376.0,No,61.2,3984.0,6.68,7776.0,0.68,28.46 +85656,USA,2001,Cholera,Respiratory,7.43,1.0,4.05,0-18,Other,372655,64.26,0.94,4.61,Vaccination,33096.0,Yes,50.86,3038.0,7.92,24599.0,0.64,26.58 +85660,Nigeria,2006,Cholera,Genetic,14.54,10.92,2.74,36-60,Male,279065,52.67,2.01,6.56,Surgery,13577.0,No,59.79,2462.0,8.66,7039.0,0.52,80.29 +85661,UK,2023,Hypertension,Cardiovascular,8.57,10.55,7.29,19-35,Male,119156,94.09,3.56,0.98,Medication,40881.0,Yes,74.02,135.0,6.09,63473.0,0.42,65.76 +85662,Canada,2013,Parkinson's Disease,Chronic,4.7,4.57,3.78,0-18,Other,170081,97.2,3.44,5.2,Surgery,39354.0,No,81.53,2577.0,9.56,27646.0,0.42,24.16 +85677,Nigeria,2024,COVID-19,Bacterial,12.03,11.24,3.4,36-60,Female,376797,82.2,1.8,0.75,Vaccination,25602.0,No,59.85,28.0,0.38,13529.0,0.79,47.54 +85681,USA,2007,Hepatitis,Cardiovascular,2.36,10.1,7.7,0-18,Female,270737,66.15,3.01,3.6,Medication,24601.0,Yes,80.42,2869.0,3.78,52071.0,0.56,45.97 +85683,Mexico,2005,Zika,Metabolic,18.03,13.62,0.86,36-60,Female,89467,77.52,2.01,0.82,Surgery,21149.0,No,79.03,2629.0,7.49,43727.0,0.81,35.22 +85702,Argentina,2011,HIV/AIDS,Respiratory,4.93,1.21,9.82,36-60,Other,177912,94.86,3.44,9.94,Medication,45941.0,Yes,54.1,1625.0,5.2,41458.0,0.41,68.51 +85710,Italy,2014,Rabies,Genetic,12.03,9.82,1.14,0-18,Other,71928,77.09,3.9,6.31,Therapy,31637.0,No,71.23,2626.0,9.87,5960.0,0.57,45.64 +85714,Saudi Arabia,2024,Parkinson's Disease,Bacterial,17.04,7.69,7.08,0-18,Male,548573,87.47,4.81,9.02,Surgery,14930.0,No,86.98,2748.0,3.18,52427.0,0.61,68.98 +85717,South Africa,2001,Parkinson's Disease,Infectious,9.71,12.86,2.95,61+,Female,598786,97.52,2.14,0.97,Medication,14635.0,Yes,82.2,4458.0,1.06,9396.0,0.63,31.97 +85719,Mexico,2015,Malaria,Chronic,6.02,0.97,0.9,0-18,Female,741038,79.19,1.67,5.26,Therapy,12396.0,No,80.96,1755.0,1.5,47885.0,0.61,45.86 +85725,Germany,2023,Hypertension,Parasitic,17.63,7.28,1.59,36-60,Male,711368,86.99,4.46,7.5,Surgery,24458.0,No,69.86,1704.0,5.26,51454.0,0.62,37.3 +85735,Canada,2012,Polio,Infectious,8.38,2.48,6.64,61+,Female,813276,62.6,4.51,6.53,Therapy,24974.0,No,58.14,2373.0,9.34,47535.0,0.53,34.68 +85738,South Korea,2022,Asthma,Bacterial,6.58,14.69,0.7,61+,Male,342033,60.3,3.6,3.57,Therapy,19542.0,No,84.96,2934.0,9.46,73780.0,0.51,69.3 +85739,UK,2023,Measles,Infectious,10.31,7.8,7.67,0-18,Male,848053,61.56,2.33,2.81,Surgery,36510.0,Yes,91.85,905.0,8.58,21100.0,0.57,79.84 +85747,Nigeria,2016,Tuberculosis,Chronic,16.4,2.37,6.05,19-35,Other,142707,61.43,1.45,0.89,Medication,29393.0,No,68.4,3430.0,1.9,53492.0,0.44,50.49 +85759,France,2002,Cholera,Infectious,3.83,7.32,6.65,36-60,Male,350723,55.46,1.87,2.1,Surgery,34848.0,Yes,67.33,4221.0,9.83,27462.0,0.64,75.69 +85762,Italy,2013,COVID-19,Neurological,13.55,0.68,2.17,19-35,Female,378232,72.27,1.31,1.09,Surgery,38454.0,No,94.61,2111.0,0.24,14322.0,0.43,84.94 +85765,Nigeria,2003,Parkinson's Disease,Neurological,8.05,3.48,1.72,0-18,Other,810478,98.74,0.92,1.47,Medication,13173.0,No,94.39,3270.0,1.31,37100.0,0.69,61.31 +85772,China,2011,Hepatitis,Parasitic,1.64,1.88,6.18,0-18,Other,602613,98.02,2.31,3.19,Medication,18660.0,Yes,53.21,4477.0,8.59,69588.0,0.43,83.75 +85775,Italy,2024,Malaria,Respiratory,2.96,9.78,8.99,36-60,Male,778389,93.61,1.24,8.82,Medication,31038.0,No,78.9,2877.0,2.61,33285.0,0.85,50.81 +85779,India,2003,Polio,Genetic,13.44,13.79,7.77,36-60,Female,908263,52.0,0.75,2.62,Therapy,45217.0,Yes,82.45,1076.0,5.02,18483.0,0.6,23.82 +85785,Nigeria,2003,Cancer,Metabolic,1.41,14.13,4.77,0-18,Male,770761,77.03,2.41,6.77,Therapy,24948.0,Yes,71.64,541.0,1.35,35020.0,0.69,55.11 +85797,Germany,2020,Cholera,Parasitic,6.74,8.82,1.09,36-60,Other,573355,55.86,2.04,3.32,Therapy,18538.0,Yes,72.34,2007.0,0.24,21100.0,0.88,49.1 +85801,China,2023,Hypertension,Chronic,3.89,9.14,1.72,19-35,Male,180910,57.78,0.52,2.76,Medication,14642.0,No,64.38,2913.0,1.06,48324.0,0.81,68.83 +85803,Australia,2018,HIV/AIDS,Viral,15.42,9.71,8.7,36-60,Female,989518,80.82,1.23,1.88,Medication,47617.0,Yes,66.19,1684.0,0.05,72604.0,0.81,68.96 +85825,Saudi Arabia,2004,Parkinson's Disease,Chronic,2.75,1.1,0.65,61+,Female,630759,95.39,1.3,2.23,Vaccination,23452.0,No,83.56,2899.0,8.53,89058.0,0.5,37.08 +85838,Indonesia,2016,Rabies,Metabolic,0.61,2.78,7.79,36-60,Other,986560,86.66,3.65,6.39,Therapy,32361.0,Yes,92.22,16.0,6.01,15444.0,0.9,29.04 +85839,France,2016,Asthma,Genetic,8.25,6.8,5.63,61+,Female,359072,69.02,3.34,6.67,Vaccination,47301.0,No,96.33,1166.0,9.9,84443.0,0.69,75.0 +85849,Mexico,2018,Measles,Cardiovascular,17.97,5.84,8.0,61+,Male,282906,88.55,4.57,2.47,Surgery,12114.0,Yes,95.77,1352.0,0.56,53097.0,0.47,43.01 +85850,South Korea,2008,Influenza,Chronic,11.36,9.55,7.32,19-35,Other,832175,72.39,0.94,1.21,Surgery,10309.0,Yes,69.19,3464.0,7.02,25442.0,0.57,87.84 +85856,Italy,2001,Alzheimer's Disease,Viral,13.83,12.83,1.94,0-18,Male,288611,68.71,3.75,7.27,Medication,18686.0,No,62.7,1354.0,7.37,43392.0,0.49,25.37 +85863,South Korea,2024,Diabetes,Neurological,9.19,2.08,2.13,61+,Other,553558,88.33,2.04,9.93,Vaccination,18062.0,No,60.07,3991.0,3.45,75177.0,0.45,22.54 +85879,Mexico,2005,Cholera,Bacterial,2.57,11.99,1.73,0-18,Female,484782,68.93,4.34,9.51,Surgery,36391.0,No,71.29,4369.0,2.7,78494.0,0.7,23.67 +85895,Saudi Arabia,2020,Alzheimer's Disease,Chronic,2.82,7.58,9.29,61+,Female,415685,61.92,2.67,6.36,Therapy,42564.0,Yes,78.93,2701.0,9.2,21434.0,0.52,78.83 +85905,India,2019,Measles,Cardiovascular,3.28,14.54,4.84,36-60,Other,532872,68.7,3.9,2.51,Vaccination,38779.0,No,89.42,2291.0,6.33,94454.0,0.47,84.6 +85909,Nigeria,2011,Tuberculosis,Bacterial,19.83,3.37,2.12,19-35,Female,47412,98.73,0.92,7.94,Surgery,33516.0,Yes,69.72,1273.0,6.54,61490.0,0.55,64.27 +85924,Italy,2011,Dengue,Respiratory,3.64,8.2,6.13,61+,Female,790440,80.72,2.39,5.43,Vaccination,28170.0,No,96.04,2530.0,4.63,76555.0,0.52,83.43 +85932,China,2015,Ebola,Autoimmune,11.1,3.09,2.5,61+,Female,28035,97.11,3.64,4.96,Surgery,45368.0,No,62.36,3079.0,5.29,79590.0,0.64,58.78 +85935,China,2018,Influenza,Viral,10.38,5.53,2.76,61+,Female,278512,91.75,2.63,6.71,Therapy,18968.0,Yes,53.39,1677.0,3.39,20402.0,0.77,36.53 +85944,USA,2004,Cancer,Bacterial,0.24,14.71,9.79,61+,Female,991137,82.8,4.73,5.78,Surgery,35651.0,Yes,87.5,2735.0,7.5,40235.0,0.79,37.4 +85950,Russia,2003,Measles,Autoimmune,6.02,13.94,8.1,19-35,Male,14545,67.13,1.0,7.21,Therapy,30367.0,No,75.11,1523.0,3.34,36302.0,0.56,53.42 +85951,Saudi Arabia,2010,Cancer,Genetic,8.72,7.23,1.5,61+,Male,876354,72.34,3.58,8.3,Medication,28053.0,Yes,55.68,562.0,2.97,20839.0,0.87,85.14 +85956,Japan,2018,Measles,Chronic,18.65,9.29,2.59,36-60,Male,987143,74.02,3.92,3.93,Therapy,28447.0,Yes,53.44,3503.0,1.07,18294.0,0.79,28.42 +85963,Turkey,2004,Zika,Respiratory,15.85,2.61,5.74,36-60,Female,441018,67.42,0.88,4.15,Surgery,34529.0,No,59.44,1093.0,5.18,92129.0,0.52,74.45 +85991,Nigeria,2010,Cholera,Genetic,0.68,9.72,7.21,61+,Female,915573,97.23,4.05,7.38,Vaccination,34218.0,No,89.54,4338.0,4.04,88142.0,0.75,68.58 +85996,Germany,2006,Leprosy,Cardiovascular,17.3,3.39,5.62,19-35,Male,689991,61.98,4.13,1.06,Therapy,41758.0,Yes,71.89,2682.0,2.63,71766.0,0.81,30.94 +86009,South Korea,2019,Alzheimer's Disease,Chronic,6.66,8.43,1.11,0-18,Male,449448,94.95,2.87,3.61,Medication,33082.0,Yes,76.59,1620.0,3.25,62547.0,0.82,79.96 +86019,UK,2019,Influenza,Metabolic,0.84,8.14,1.87,61+,Male,909496,81.07,1.72,9.0,Therapy,46611.0,No,71.57,3557.0,4.86,56229.0,0.55,23.32 +86033,Brazil,2022,Ebola,Chronic,10.52,2.67,5.86,36-60,Female,391300,61.17,4.81,7.46,Therapy,12369.0,Yes,53.81,3556.0,8.98,36456.0,0.8,73.65 +86039,Indonesia,2021,Measles,Genetic,4.16,4.15,6.67,36-60,Male,842162,88.42,2.49,6.19,Surgery,26587.0,No,56.98,3467.0,6.79,32525.0,0.78,71.9 +86043,China,2015,Asthma,Neurological,13.18,1.0,5.41,61+,Male,31796,54.91,3.73,2.43,Surgery,43530.0,No,66.85,1908.0,0.89,81270.0,0.78,72.29 +86059,Germany,2010,Influenza,Neurological,0.73,9.29,4.07,0-18,Male,250619,97.35,4.78,1.26,Surgery,40724.0,Yes,64.74,2888.0,7.74,56636.0,0.74,84.75 +86060,Indonesia,2013,HIV/AIDS,Bacterial,4.24,6.86,7.09,36-60,Female,985802,63.74,1.47,7.73,Therapy,25879.0,Yes,82.53,232.0,3.13,93649.0,0.72,48.17 +86068,Turkey,2020,Cancer,Viral,3.93,8.65,9.69,19-35,Other,564644,60.14,4.6,9.04,Therapy,8021.0,No,78.18,2744.0,6.98,96784.0,0.74,78.71 +86072,China,2001,Influenza,Autoimmune,5.31,2.46,6.13,19-35,Other,871595,94.52,1.06,7.48,Therapy,22299.0,Yes,95.04,4571.0,9.03,74955.0,0.78,73.31 +86083,Russia,2012,HIV/AIDS,Genetic,14.09,8.7,6.88,61+,Female,892460,84.25,1.38,8.02,Therapy,24519.0,Yes,79.22,2585.0,6.59,68596.0,0.61,69.07 +86092,Germany,2003,Polio,Autoimmune,2.89,4.89,6.91,61+,Other,720565,77.09,1.27,2.62,Medication,3190.0,Yes,96.2,3361.0,4.79,28867.0,0.85,50.61 +86105,South Korea,2014,Cancer,Parasitic,19.13,1.7,4.62,61+,Other,495472,94.08,1.78,7.8,Therapy,719.0,Yes,94.68,4588.0,9.88,63137.0,0.61,36.07 +86106,Turkey,2018,Polio,Parasitic,16.65,6.44,6.92,61+,Male,194959,72.86,1.8,9.46,Medication,33035.0,Yes,56.92,1884.0,2.48,40287.0,0.53,42.63 +86111,South Africa,2001,Rabies,Parasitic,17.15,9.58,8.17,19-35,Other,612822,50.94,1.67,8.38,Therapy,20454.0,Yes,71.03,4084.0,8.33,92515.0,0.51,64.9 +86127,Germany,2019,Zika,Metabolic,17.73,11.35,4.69,19-35,Male,197306,67.18,4.5,2.67,Medication,44567.0,No,54.91,4414.0,4.51,57422.0,0.52,34.27 +86132,USA,2005,COVID-19,Parasitic,17.55,7.16,3.3,19-35,Male,270958,66.17,1.7,6.22,Surgery,27459.0,No,84.9,4886.0,4.4,15085.0,0.53,66.65 +86137,Saudi Arabia,2009,Ebola,Metabolic,12.35,3.66,8.58,36-60,Male,210692,99.0,4.71,5.96,Medication,42582.0,Yes,81.76,2753.0,6.91,4570.0,0.47,82.63 +86138,Canada,2021,Influenza,Bacterial,11.95,0.75,7.83,0-18,Female,351166,52.11,1.28,1.24,Vaccination,22329.0,Yes,55.53,1963.0,2.98,83900.0,0.44,78.3 +86139,China,2012,Hepatitis,Neurological,15.03,13.83,4.86,36-60,Other,262539,52.03,0.7,7.72,Surgery,20006.0,No,86.84,662.0,9.99,9973.0,0.73,77.57 +86140,USA,2010,Polio,Cardiovascular,16.41,14.66,2.39,61+,Other,323420,95.02,3.8,4.38,Surgery,39141.0,No,69.78,1936.0,5.23,5011.0,0.59,53.22 +86141,Nigeria,2005,Rabies,Viral,11.6,1.78,5.49,0-18,Male,5050,79.53,0.79,8.03,Vaccination,25751.0,Yes,96.33,1978.0,5.96,82503.0,0.4,55.9 +86143,Canada,2003,Zika,Metabolic,3.77,11.03,2.87,61+,Other,40332,57.02,2.39,2.93,Therapy,1535.0,No,77.92,514.0,1.38,14281.0,0.76,86.2 +86149,Japan,2019,COVID-19,Infectious,2.07,2.3,6.28,36-60,Other,574012,73.76,1.46,9.79,Surgery,10217.0,No,60.11,2802.0,0.77,33746.0,0.66,65.28 +86155,Russia,2023,Tuberculosis,Cardiovascular,14.5,12.51,7.43,19-35,Male,302561,76.09,1.63,7.49,Therapy,33972.0,Yes,62.26,2489.0,9.38,21712.0,0.84,73.65 +86161,Russia,2004,Cancer,Neurological,18.65,12.77,8.31,36-60,Female,449005,88.06,2.8,5.84,Surgery,18901.0,No,64.87,3564.0,6.24,70538.0,0.57,42.9 +86171,India,2008,Diabetes,Respiratory,13.78,12.56,5.87,0-18,Male,160678,83.6,2.29,3.32,Medication,11475.0,No,93.51,808.0,6.57,88756.0,0.78,69.74 +86173,Russia,2012,Malaria,Autoimmune,18.5,8.34,9.01,19-35,Female,999284,79.96,2.26,1.06,Medication,49697.0,No,50.64,3367.0,4.28,2714.0,0.74,42.15 +86182,China,2005,Ebola,Metabolic,15.48,0.57,4.77,36-60,Other,932254,87.49,2.75,6.28,Vaccination,35889.0,Yes,80.26,3583.0,2.04,97389.0,0.57,57.95 +86189,Argentina,2012,Cholera,Chronic,7.62,4.83,2.91,61+,Female,252086,61.35,4.49,4.19,Therapy,46579.0,Yes,54.64,1133.0,1.97,82087.0,0.88,41.29 +86190,Germany,2010,Cancer,Parasitic,9.95,12.63,7.7,19-35,Female,137485,67.32,0.65,5.99,Vaccination,26337.0,Yes,89.41,1029.0,0.83,92345.0,0.59,48.83 +86204,Mexico,2023,Dengue,Infectious,8.67,1.04,2.85,61+,Other,997874,93.23,0.69,3.73,Medication,37287.0,No,59.52,1971.0,2.97,44045.0,0.74,51.62 +86209,Italy,2018,Hepatitis,Metabolic,4.71,2.38,7.59,0-18,Female,825488,91.86,1.45,3.24,Surgery,11264.0,Yes,77.95,815.0,0.82,59911.0,0.69,51.63 +86224,South Korea,2009,COVID-19,Genetic,6.45,9.06,0.66,0-18,Other,906777,72.7,3.6,4.33,Surgery,45765.0,No,85.66,2075.0,4.91,16235.0,0.84,21.87 +86236,Argentina,2000,Ebola,Metabolic,14.53,11.02,2.59,36-60,Other,538958,95.57,2.42,6.45,Surgery,39780.0,Yes,82.95,2589.0,0.53,40334.0,0.87,86.4 +86247,Saudi Arabia,2005,Hepatitis,Neurological,11.97,7.59,2.55,19-35,Female,384106,79.41,3.78,4.54,Medication,48420.0,No,53.77,574.0,6.07,68203.0,0.89,79.58 +86251,India,2021,Cancer,Respiratory,3.35,6.15,1.14,19-35,Male,693263,61.33,3.87,2.8,Therapy,28587.0,Yes,77.77,1375.0,3.46,52407.0,0.59,77.79 +86256,Nigeria,2014,HIV/AIDS,Metabolic,19.88,5.47,6.06,0-18,Female,233162,94.41,3.93,2.45,Therapy,48622.0,Yes,70.64,2256.0,1.62,20796.0,0.87,40.99 +86258,Argentina,2012,Cancer,Cardiovascular,16.45,11.39,0.11,36-60,Female,972029,78.68,4.52,8.0,Vaccination,6169.0,Yes,82.71,757.0,8.83,81690.0,0.81,38.47 +86266,Argentina,2018,Leprosy,Parasitic,14.48,2.59,7.36,0-18,Other,473479,78.09,4.86,7.82,Therapy,26894.0,Yes,64.26,2131.0,5.87,88216.0,0.83,23.62 +86268,Argentina,2009,Zika,Genetic,12.54,5.08,5.22,0-18,Male,5710,79.2,3.19,6.29,Surgery,42089.0,No,70.25,18.0,7.79,73885.0,0.64,32.88 +86269,USA,2019,Parkinson's Disease,Neurological,4.8,13.7,4.33,0-18,Other,699036,68.1,1.88,7.15,Vaccination,24009.0,Yes,67.32,2917.0,2.84,43589.0,0.58,23.65 +86277,China,2004,Cancer,Respiratory,19.1,12.04,1.34,36-60,Female,736504,50.6,3.38,5.94,Surgery,1850.0,Yes,74.05,1634.0,9.31,62382.0,0.88,33.97 +86279,Turkey,2007,Influenza,Chronic,11.41,11.65,8.44,61+,Other,204657,64.83,3.31,9.04,Therapy,6291.0,No,74.96,1349.0,7.43,66494.0,0.56,30.8 +86284,South Korea,2000,HIV/AIDS,Cardiovascular,16.27,10.16,2.98,36-60,Other,51574,83.89,0.87,4.59,Medication,46790.0,Yes,85.98,1486.0,7.07,18901.0,0.62,51.52 +86286,Germany,2022,Diabetes,Autoimmune,10.16,2.37,5.87,19-35,Male,552021,72.53,0.89,3.32,Therapy,18308.0,Yes,74.79,4209.0,0.31,24172.0,0.65,35.49 +86289,Italy,2019,Ebola,Respiratory,9.6,10.48,1.02,19-35,Female,571559,69.7,3.62,1.99,Medication,11339.0,No,64.0,514.0,3.36,66961.0,0.7,20.72 +86290,Argentina,2024,Parkinson's Disease,Infectious,4.12,14.13,8.79,0-18,Female,817087,93.02,3.55,7.64,Therapy,4621.0,Yes,83.46,3876.0,9.71,63858.0,0.59,56.18 +86291,France,2019,Asthma,Cardiovascular,19.08,13.91,6.46,61+,Other,507019,74.1,4.87,5.04,Medication,18023.0,No,59.89,3679.0,7.95,23277.0,0.43,30.42 +86294,Argentina,2003,Polio,Bacterial,7.74,6.26,5.92,61+,Male,318568,81.05,4.85,6.11,Surgery,48259.0,Yes,80.95,2141.0,7.07,34544.0,0.56,21.98 +86299,France,2014,COVID-19,Metabolic,19.91,6.36,4.2,61+,Female,409480,95.02,1.82,3.28,Therapy,7020.0,Yes,57.25,3107.0,2.7,43202.0,0.42,30.24 +86300,Germany,2007,Measles,Metabolic,1.38,8.58,4.27,0-18,Other,527794,88.81,3.27,5.46,Medication,33394.0,Yes,91.69,4119.0,2.5,53392.0,0.51,41.46 +86306,Brazil,2007,Malaria,Viral,10.03,1.03,1.87,0-18,Male,370982,97.53,4.18,7.87,Therapy,12415.0,Yes,69.56,2502.0,6.98,21358.0,0.56,63.32 +86307,Germany,2021,Leprosy,Neurological,2.49,6.97,0.96,0-18,Male,692426,66.6,3.61,1.27,Therapy,8762.0,Yes,59.37,3968.0,1.46,46930.0,0.87,87.15 +86314,Japan,2010,Dengue,Autoimmune,17.89,13.0,3.21,0-18,Female,229886,99.94,3.68,2.81,Therapy,21283.0,No,89.9,2614.0,7.09,61922.0,0.62,22.05 +86315,Italy,2004,Hypertension,Neurological,8.87,13.51,4.0,19-35,Female,133306,62.69,2.72,5.89,Medication,42484.0,No,75.8,2257.0,4.93,79837.0,0.6,34.89 +86329,Brazil,2005,Malaria,Genetic,17.71,7.88,0.87,61+,Male,99833,68.41,2.89,4.48,Vaccination,46876.0,No,97.47,9.0,8.53,97800.0,0.54,72.72 +86332,UK,2008,Influenza,Parasitic,15.05,0.61,8.14,19-35,Male,659502,85.47,4.76,1.9,Therapy,25918.0,No,63.67,3588.0,5.72,94565.0,0.54,89.07 +86336,Germany,2019,Dengue,Neurological,5.68,8.2,5.15,36-60,Other,331933,93.5,2.57,4.04,Vaccination,12925.0,No,95.7,1126.0,7.24,63580.0,0.86,84.7 +86346,UK,2022,COVID-19,Autoimmune,12.05,11.15,9.86,61+,Other,533897,72.68,3.71,8.1,Therapy,25939.0,Yes,98.65,571.0,1.63,67568.0,0.5,52.86 +86351,Brazil,2013,Malaria,Bacterial,6.97,6.73,5.41,19-35,Male,87142,55.75,3.63,3.84,Surgery,21692.0,Yes,54.83,2276.0,7.22,78733.0,0.56,63.15 +86353,South Africa,2022,Rabies,Parasitic,4.62,0.23,5.46,36-60,Female,945550,52.96,1.82,2.8,Vaccination,41962.0,Yes,92.96,2814.0,1.99,20862.0,0.69,54.97 +86356,Japan,2010,Dengue,Neurological,5.31,7.56,8.22,19-35,Other,389249,81.59,2.39,9.43,Medication,19766.0,Yes,83.27,1917.0,0.77,35910.0,0.87,47.97 +86358,Brazil,2016,Tuberculosis,Bacterial,10.7,6.07,6.18,19-35,Other,366728,76.53,4.55,3.48,Medication,8089.0,No,93.75,4485.0,4.63,32635.0,0.42,51.22 +86369,Mexico,2001,Zika,Metabolic,16.26,3.28,6.5,0-18,Female,411762,51.82,4.05,9.81,Therapy,15410.0,Yes,50.34,2837.0,3.19,26165.0,0.59,27.87 +86375,India,2003,Malaria,Infectious,14.11,1.1,4.61,0-18,Male,407840,74.49,3.97,9.4,Surgery,33974.0,Yes,80.45,4219.0,0.3,88011.0,0.8,72.86 +86378,Germany,2019,HIV/AIDS,Autoimmune,3.73,6.29,3.43,19-35,Other,256884,79.78,0.55,5.52,Vaccination,6389.0,No,89.91,3325.0,0.89,28071.0,0.51,52.57 +86381,Germany,2017,Polio,Chronic,6.18,0.14,9.9,19-35,Other,459521,72.34,3.79,0.69,Therapy,21777.0,Yes,59.75,2886.0,5.34,31318.0,0.83,44.82 +86385,Japan,2024,Measles,Viral,9.84,7.51,7.55,0-18,Male,219870,72.87,2.03,6.53,Vaccination,17832.0,Yes,85.99,274.0,7.74,3572.0,0.78,70.0 +86388,Japan,2003,Influenza,Respiratory,12.57,6.3,7.89,36-60,Male,93351,62.08,0.61,7.91,Vaccination,20290.0,Yes,50.08,4932.0,5.06,32884.0,0.48,73.74 +86397,Indonesia,2013,Cancer,Respiratory,6.34,14.51,5.83,61+,Male,508223,95.6,4.32,0.58,Therapy,28436.0,No,86.05,852.0,2.12,34415.0,0.47,60.15 +86406,France,2005,Leprosy,Respiratory,7.21,13.39,3.42,0-18,Female,292337,86.63,0.83,9.22,Medication,49537.0,Yes,71.97,2637.0,5.14,9732.0,0.71,20.48 +86408,Nigeria,2003,Hypertension,Cardiovascular,1.78,6.25,6.35,19-35,Female,870229,79.88,2.92,2.91,Surgery,1982.0,No,88.29,2075.0,8.85,33909.0,0.75,77.74 +86411,Saudi Arabia,2020,Leprosy,Neurological,8.16,13.7,4.16,36-60,Other,469181,54.84,2.45,5.05,Therapy,22384.0,No,76.73,3441.0,1.37,77081.0,0.67,81.71 +86414,Mexico,2024,Alzheimer's Disease,Bacterial,0.68,12.62,0.97,0-18,Other,170243,86.66,3.34,3.64,Vaccination,21580.0,No,50.68,4062.0,4.72,30053.0,0.68,75.03 +86420,Germany,2003,HIV/AIDS,Respiratory,0.26,4.17,4.0,61+,Female,98362,58.49,1.78,5.42,Medication,40266.0,No,69.64,2122.0,8.81,35521.0,0.42,57.81 +86425,UK,2018,Rabies,Metabolic,5.79,2.01,3.98,0-18,Female,428262,97.7,1.9,4.49,Medication,38327.0,No,89.66,143.0,8.87,98670.0,0.6,37.32 +86434,Indonesia,2010,HIV/AIDS,Metabolic,11.35,13.89,5.41,0-18,Other,992515,88.57,1.81,9.84,Surgery,5634.0,Yes,88.1,293.0,4.72,87601.0,0.46,25.87 +86441,Germany,2001,HIV/AIDS,Neurological,12.28,6.37,2.24,19-35,Male,684848,94.42,4.45,4.23,Therapy,22326.0,No,59.89,561.0,7.11,37209.0,0.88,88.16 +86448,Russia,2021,COVID-19,Respiratory,12.05,0.23,9.42,36-60,Other,825394,90.35,2.42,4.03,Vaccination,2232.0,No,96.55,4163.0,1.72,52486.0,0.42,48.08 +86453,China,2015,Cancer,Chronic,5.1,2.38,4.2,61+,Other,313132,96.31,1.96,2.83,Medication,35300.0,No,98.86,3431.0,1.32,62009.0,0.73,49.87 +86454,Russia,2019,Malaria,Genetic,14.22,11.71,6.14,0-18,Male,291783,53.79,1.49,7.2,Medication,30294.0,Yes,86.11,2416.0,1.56,71916.0,0.81,34.81 +86455,Brazil,2024,Diabetes,Cardiovascular,15.07,3.29,2.2,61+,Other,555902,54.47,1.82,2.48,Surgery,27404.0,Yes,68.32,3606.0,4.65,4982.0,0.68,23.27 +86467,Australia,2007,Hypertension,Respiratory,0.69,5.43,2.21,36-60,Female,76110,60.14,3.71,6.85,Therapy,5929.0,No,51.39,1369.0,3.43,11616.0,0.59,26.77 +86471,Japan,2014,Diabetes,Metabolic,11.71,3.2,8.38,0-18,Other,21951,68.6,4.51,9.64,Vaccination,35442.0,No,80.33,2261.0,8.73,23945.0,0.64,26.57 +86476,Indonesia,2012,Leprosy,Infectious,14.74,12.19,1.22,61+,Female,901615,76.82,2.29,9.66,Therapy,18981.0,Yes,53.45,1509.0,5.26,41075.0,0.48,86.77 +86485,Turkey,2000,Alzheimer's Disease,Bacterial,14.66,4.09,1.3,0-18,Other,247736,95.76,3.06,7.48,Medication,24797.0,Yes,66.26,642.0,2.94,6988.0,0.74,22.49 +86486,Germany,2021,Alzheimer's Disease,Respiratory,2.37,2.22,1.34,19-35,Other,984035,91.97,4.78,2.01,Medication,18254.0,Yes,86.8,2803.0,1.08,42684.0,0.52,36.53 +86489,India,2011,HIV/AIDS,Metabolic,14.72,5.41,3.91,19-35,Female,346583,54.87,1.49,6.11,Therapy,5066.0,Yes,86.3,204.0,4.56,67576.0,0.43,28.79 +86492,Italy,2000,Ebola,Bacterial,15.88,12.31,9.51,61+,Female,76016,89.52,2.82,3.07,Medication,14333.0,Yes,69.66,2110.0,7.54,76622.0,0.65,88.19 +86493,Germany,2004,Asthma,Neurological,9.8,9.37,2.6,0-18,Male,663047,94.05,4.07,8.25,Vaccination,567.0,No,80.11,424.0,0.99,16340.0,0.53,89.58 +86498,India,2012,COVID-19,Viral,17.46,4.84,4.05,61+,Female,246135,64.39,4.5,2.26,Surgery,21181.0,Yes,87.89,1568.0,2.59,57768.0,0.83,37.99 +86505,Indonesia,2009,Hypertension,Neurological,14.32,0.82,6.55,0-18,Other,196209,79.32,3.06,3.64,Medication,16393.0,No,79.6,2492.0,5.86,36289.0,0.61,80.04 +86509,France,2008,Diabetes,Autoimmune,1.34,0.56,3.32,0-18,Female,821705,96.7,2.74,7.01,Surgery,14124.0,Yes,52.98,2655.0,0.85,53880.0,0.41,34.23 +86510,Nigeria,2004,Hypertension,Chronic,7.1,10.45,5.54,0-18,Male,368364,62.28,1.5,4.15,Therapy,40133.0,Yes,76.98,2411.0,6.24,23637.0,0.42,31.32 +86511,UK,2004,Alzheimer's Disease,Autoimmune,4.15,13.92,7.97,61+,Male,740614,79.77,3.38,9.84,Therapy,37344.0,Yes,86.14,3801.0,3.11,69467.0,0.41,61.71 +86512,Nigeria,2020,HIV/AIDS,Infectious,5.47,0.2,3.97,36-60,Female,557778,56.44,2.36,4.69,Vaccination,48538.0,Yes,61.78,3833.0,6.01,97028.0,0.81,35.63 +86515,Mexico,2020,Malaria,Bacterial,3.57,7.8,0.29,0-18,Male,947584,81.92,2.66,9.14,Vaccination,8115.0,No,57.27,2717.0,0.18,38913.0,0.53,37.14 +86518,Turkey,2011,Ebola,Genetic,15.57,2.18,7.97,19-35,Female,535192,82.59,2.93,3.5,Surgery,13829.0,No,95.65,2620.0,6.78,25049.0,0.8,44.02 +86529,France,2023,Zika,Chronic,2.73,10.24,3.04,36-60,Other,483389,85.35,2.98,2.08,Vaccination,10495.0,Yes,83.86,759.0,3.3,51948.0,0.46,53.85 +86531,Italy,2016,Influenza,Infectious,4.59,9.75,0.97,36-60,Male,802798,65.53,4.04,6.41,Vaccination,21062.0,No,92.96,1225.0,2.17,37595.0,0.42,35.67 +86534,Canada,2013,Zika,Infectious,10.91,4.81,6.66,61+,Male,826653,50.57,1.25,6.87,Surgery,35880.0,Yes,52.7,2734.0,0.62,36961.0,0.46,65.42 +86539,France,2002,Cancer,Parasitic,7.87,4.34,0.78,61+,Female,223563,84.92,1.27,5.74,Vaccination,18865.0,Yes,63.17,4183.0,3.02,41861.0,0.83,45.02 +86541,UK,2024,COVID-19,Chronic,7.97,2.69,5.04,61+,Other,601001,62.4,4.69,1.86,Vaccination,34391.0,No,83.03,1935.0,2.39,19770.0,0.67,56.31 +86548,Russia,2012,HIV/AIDS,Autoimmune,18.77,11.32,8.59,0-18,Male,979485,78.74,1.76,7.84,Medication,1737.0,No,88.15,4297.0,5.11,64176.0,0.8,48.62 +86549,Japan,2020,COVID-19,Viral,4.77,6.23,4.91,19-35,Male,970710,56.27,0.71,4.68,Surgery,14360.0,Yes,78.23,1669.0,8.48,30493.0,0.61,57.64 +86559,Nigeria,2000,Parkinson's Disease,Respiratory,2.58,4.36,1.26,19-35,Other,863097,81.54,0.87,9.88,Medication,37299.0,Yes,54.62,2186.0,8.83,53663.0,0.55,28.15 +86566,USA,2021,Influenza,Parasitic,12.63,5.1,9.91,19-35,Other,817580,61.31,1.29,2.87,Medication,21877.0,No,50.69,2014.0,9.39,18878.0,0.43,67.8 +86567,India,2012,COVID-19,Genetic,19.5,8.73,7.0,36-60,Female,769956,71.59,4.07,2.53,Vaccination,36476.0,No,57.4,4961.0,7.68,40732.0,0.77,27.12 +86568,Japan,2020,Tuberculosis,Autoimmune,12.72,7.84,2.69,36-60,Other,42602,70.67,4.02,6.61,Surgery,18366.0,No,77.4,2257.0,4.32,6744.0,0.76,59.28 +86569,USA,2000,Zika,Viral,7.16,0.27,2.21,0-18,Male,663071,77.28,0.52,3.81,Medication,41169.0,No,63.25,3399.0,0.73,33937.0,0.7,47.24 +86570,Australia,2009,Parkinson's Disease,Autoimmune,10.68,5.46,2.24,61+,Female,826237,51.58,2.87,5.66,Therapy,12546.0,Yes,78.0,3833.0,3.63,95015.0,0.5,88.79 +86571,Indonesia,2009,HIV/AIDS,Autoimmune,10.14,11.58,4.71,61+,Female,286242,76.66,2.23,6.81,Vaccination,14448.0,No,50.43,3105.0,1.95,68071.0,0.48,45.39 +86593,Saudi Arabia,2018,Leprosy,Infectious,16.57,9.67,3.03,61+,Male,203180,90.55,2.41,3.63,Therapy,41429.0,No,50.22,1079.0,9.59,8587.0,0.8,40.26 +86609,South Africa,2019,Rabies,Genetic,13.64,6.4,8.55,36-60,Female,408378,51.12,4.93,5.76,Surgery,6406.0,Yes,71.76,517.0,5.87,66090.0,0.75,53.8 +86612,Japan,2021,Measles,Neurological,5.26,0.73,3.72,36-60,Other,255231,63.75,0.56,6.16,Vaccination,22357.0,Yes,53.17,918.0,3.82,70122.0,0.87,50.43 +86614,France,2013,Malaria,Bacterial,13.95,1.31,8.47,61+,Other,55027,95.15,4.84,6.69,Therapy,37044.0,Yes,68.39,4794.0,2.96,84133.0,0.62,75.22 +86616,Indonesia,2010,Cholera,Chronic,17.28,13.36,9.15,19-35,Male,330032,99.98,4.46,8.98,Medication,10517.0,Yes,88.51,4175.0,9.62,36102.0,0.55,48.23 +86617,Italy,2011,Dengue,Infectious,13.73,9.34,2.84,36-60,Male,223847,77.26,0.73,1.33,Therapy,18240.0,Yes,60.28,2786.0,6.02,31341.0,0.83,34.44 +86618,Mexico,2010,Alzheimer's Disease,Genetic,4.66,11.82,5.53,19-35,Other,707909,64.98,4.48,5.22,Therapy,32035.0,Yes,77.5,1020.0,8.78,2176.0,0.76,21.21 +86632,Brazil,2018,Influenza,Bacterial,1.97,0.59,2.89,36-60,Male,576255,65.98,1.79,3.78,Surgery,45780.0,Yes,95.78,776.0,6.1,28248.0,0.81,66.25 +86641,South Korea,2010,Asthma,Chronic,3.9,11.87,5.36,36-60,Female,99004,96.17,0.58,3.53,Therapy,17899.0,No,72.23,4807.0,4.4,5892.0,0.87,62.16 +86644,Canada,2017,Leprosy,Viral,3.15,5.83,9.0,61+,Female,374132,87.26,3.15,7.07,Surgery,35644.0,Yes,62.37,2883.0,5.68,95695.0,0.83,55.7 +86654,South Korea,2005,Measles,Chronic,19.38,7.54,8.25,0-18,Female,838903,97.82,1.34,7.87,Medication,45267.0,No,69.87,1238.0,4.72,77155.0,0.79,52.18 +86656,Argentina,2005,Malaria,Cardiovascular,18.44,11.14,0.46,19-35,Male,730726,58.69,2.15,6.34,Medication,14203.0,No,83.92,178.0,9.08,8472.0,0.68,38.84 +86663,France,2004,Cancer,Metabolic,9.48,4.3,6.64,36-60,Female,316757,65.21,4.35,7.76,Surgery,10392.0,No,59.18,2700.0,3.69,14925.0,0.68,42.79 +86665,South Africa,2020,Cancer,Metabolic,0.34,3.26,5.95,19-35,Female,698304,95.12,0.58,8.24,Surgery,44392.0,Yes,88.55,1879.0,0.43,58289.0,0.73,73.92 +86669,China,2017,Leprosy,Autoimmune,14.18,9.29,3.83,0-18,Other,629137,63.22,3.36,4.48,Medication,43426.0,No,77.63,2362.0,5.81,9650.0,0.71,60.14 +86671,Brazil,2010,Malaria,Metabolic,8.73,8.32,9.88,19-35,Other,23092,94.12,3.21,3.53,Surgery,16563.0,Yes,96.47,539.0,7.46,57276.0,0.48,75.64 +86673,France,2024,Cholera,Genetic,1.84,6.58,9.24,0-18,Other,546112,99.33,3.54,3.89,Vaccination,18667.0,No,61.59,4465.0,8.71,78384.0,0.57,66.18 +86677,Russia,2021,Cholera,Chronic,0.13,13.78,7.17,36-60,Male,245527,92.1,2.36,5.51,Therapy,4255.0,Yes,96.54,1304.0,6.98,62432.0,0.58,54.11 +86678,Turkey,2003,Diabetes,Cardiovascular,18.39,5.98,6.56,0-18,Female,776198,84.17,4.09,7.41,Medication,9919.0,No,84.35,3176.0,9.7,36548.0,0.81,89.87 +86679,USA,2023,Ebola,Neurological,14.7,4.79,8.33,36-60,Other,721885,98.95,0.65,2.7,Therapy,36178.0,No,64.34,860.0,0.26,88552.0,0.85,39.68 +86683,Argentina,2009,Ebola,Neurological,16.06,4.12,4.8,61+,Other,353247,94.99,3.03,9.11,Surgery,3643.0,Yes,83.49,217.0,9.03,3115.0,0.6,66.34 +86684,Saudi Arabia,2004,Diabetes,Autoimmune,2.71,8.58,7.65,36-60,Other,602536,55.7,3.85,2.01,Therapy,23011.0,No,57.75,601.0,2.04,7146.0,0.73,74.89 +86686,Italy,2015,Rabies,Cardiovascular,17.7,10.27,5.28,61+,Other,718883,70.15,4.31,8.47,Therapy,16061.0,Yes,85.78,894.0,5.19,68931.0,0.58,25.18 +86696,Germany,2000,Asthma,Bacterial,17.92,14.98,4.87,36-60,Female,878715,52.55,4.93,7.6,Vaccination,33551.0,No,98.47,2974.0,4.94,26360.0,0.86,68.72 +86697,UK,2017,Zika,Autoimmune,7.26,12.91,1.56,0-18,Female,795904,53.61,4.47,5.83,Therapy,22703.0,No,61.92,4504.0,9.41,81373.0,0.88,35.51 +86698,Australia,2002,Influenza,Bacterial,17.85,13.62,1.45,61+,Female,906248,50.51,2.1,6.4,Surgery,19936.0,Yes,80.27,2720.0,7.82,27949.0,0.43,40.56 +86701,Brazil,2005,Hepatitis,Cardiovascular,15.92,13.92,5.39,0-18,Male,759127,54.47,1.4,5.02,Therapy,4802.0,No,88.81,4415.0,9.5,53191.0,0.81,79.39 +86707,Saudi Arabia,2007,Hepatitis,Metabolic,4.78,5.77,9.01,19-35,Other,635974,60.16,4.43,2.2,Vaccination,18626.0,Yes,74.59,3224.0,6.18,96871.0,0.56,72.86 +86710,France,2020,Zika,Chronic,7.11,2.57,6.92,0-18,Other,948202,77.29,4.08,8.75,Medication,42052.0,Yes,78.96,2739.0,9.47,9197.0,0.43,46.34 +86734,Saudi Arabia,2014,Leprosy,Bacterial,18.35,3.96,4.35,36-60,Female,551814,61.11,3.49,6.4,Therapy,36254.0,No,90.69,4453.0,6.95,76453.0,0.83,27.07 +86736,Indonesia,2022,Zika,Respiratory,6.7,11.72,9.39,0-18,Female,563256,63.75,1.54,9.66,Medication,38577.0,Yes,81.47,3865.0,8.64,70246.0,0.9,78.67 +86742,Argentina,2022,Influenza,Parasitic,5.79,8.18,1.68,61+,Female,521704,61.03,2.66,7.96,Vaccination,32571.0,No,93.39,2589.0,2.38,91816.0,0.43,21.67 +86747,China,2003,Measles,Viral,3.34,1.2,5.88,19-35,Male,452740,68.49,1.57,4.97,Vaccination,23187.0,Yes,89.43,1627.0,5.45,65645.0,0.44,72.39 +86748,India,2005,Cancer,Autoimmune,16.68,10.16,0.61,19-35,Other,237275,50.06,4.26,5.32,Vaccination,28193.0,No,55.34,4709.0,9.33,65407.0,0.74,66.91 +86751,China,2018,Rabies,Respiratory,3.53,12.57,3.38,0-18,Male,542984,86.53,2.89,8.92,Surgery,44178.0,No,55.56,3426.0,0.93,40726.0,0.54,83.08 +86754,Australia,2022,Hepatitis,Viral,16.42,6.57,6.72,0-18,Female,919978,69.09,1.37,5.3,Surgery,12143.0,Yes,75.72,782.0,9.92,15055.0,0.6,40.91 +86756,Australia,2024,COVID-19,Autoimmune,15.93,9.19,9.56,36-60,Male,314270,63.8,2.07,0.75,Surgery,1577.0,Yes,80.23,3730.0,6.43,21743.0,0.87,51.2 +86758,Indonesia,2003,Dengue,Genetic,14.69,14.56,4.33,0-18,Other,596763,80.58,3.41,1.56,Medication,28146.0,No,76.8,2060.0,7.25,11385.0,0.57,62.69 +86794,Russia,2008,Leprosy,Neurological,7.8,6.53,3.0,61+,Male,481578,99.97,4.99,6.31,Medication,40390.0,Yes,70.15,2142.0,6.98,74863.0,0.81,88.59 +86795,Japan,2015,HIV/AIDS,Neurological,12.43,8.64,6.09,19-35,Male,301084,78.08,4.75,7.76,Medication,26103.0,Yes,76.14,1146.0,6.77,60017.0,0.42,61.68 +86797,Germany,2006,Malaria,Neurological,8.67,9.03,2.22,61+,Male,156261,63.72,1.38,4.9,Surgery,13147.0,No,93.26,4410.0,6.95,96291.0,0.76,82.3 +86804,UK,2002,Alzheimer's Disease,Cardiovascular,5.67,10.78,4.23,36-60,Male,907903,73.59,1.98,4.07,Therapy,12245.0,Yes,89.81,1099.0,9.83,70508.0,0.46,62.73 +86806,Canada,2001,Alzheimer's Disease,Cardiovascular,2.78,14.29,3.86,36-60,Female,390747,67.24,0.67,3.97,Surgery,43982.0,No,81.74,288.0,4.03,11977.0,0.72,69.19 +86807,Nigeria,2012,HIV/AIDS,Cardiovascular,12.49,2.91,3.35,0-18,Male,152636,99.15,4.61,0.75,Surgery,27063.0,Yes,70.77,3371.0,6.12,81033.0,0.69,89.15 +86810,Argentina,2011,Hepatitis,Bacterial,5.96,11.09,7.24,0-18,Male,463238,63.84,2.4,6.97,Therapy,43680.0,Yes,92.82,322.0,3.94,55537.0,0.51,40.26 +86818,USA,2011,Influenza,Parasitic,15.81,2.84,4.9,19-35,Male,478183,88.42,1.37,0.76,Vaccination,7247.0,No,73.28,1094.0,1.06,36721.0,0.72,75.03 +86832,France,2010,Cancer,Viral,8.09,13.62,6.39,0-18,Female,717599,60.52,1.39,7.27,Medication,12673.0,No,57.14,3008.0,9.55,52609.0,0.4,73.24 +86838,Mexico,2003,Asthma,Metabolic,1.37,1.93,8.97,19-35,Male,870996,86.22,1.16,2.14,Medication,13244.0,No,97.52,3486.0,7.95,37785.0,0.71,40.32 +86839,Russia,2019,Measles,Parasitic,16.93,14.0,2.4,36-60,Other,986136,82.19,4.57,0.57,Surgery,25260.0,No,88.87,889.0,2.16,77337.0,0.68,53.18 +86845,Mexico,2006,Cancer,Bacterial,19.2,12.73,2.29,19-35,Female,751740,83.81,2.95,6.18,Surgery,9646.0,No,91.9,4850.0,1.46,27282.0,0.8,54.24 +86853,Italy,2005,Polio,Bacterial,9.2,8.92,5.27,19-35,Female,827457,69.51,1.01,2.53,Medication,27911.0,Yes,68.7,2686.0,6.34,97777.0,0.83,32.49 +86857,France,2012,Rabies,Infectious,17.37,6.37,8.37,36-60,Other,162744,99.83,4.55,9.0,Medication,13192.0,No,54.93,2899.0,1.68,88278.0,0.54,40.17 +86858,France,2005,COVID-19,Infectious,14.58,2.48,8.37,61+,Male,808143,60.02,3.45,3.88,Surgery,42513.0,Yes,70.43,4344.0,5.06,46045.0,0.57,70.66 +86865,Germany,2003,HIV/AIDS,Metabolic,4.81,14.7,0.61,36-60,Other,760085,79.24,4.1,7.75,Surgery,18889.0,Yes,84.82,1566.0,4.55,17277.0,0.88,61.89 +86866,Australia,2018,COVID-19,Respiratory,9.64,1.96,1.96,19-35,Female,386712,81.56,4.19,5.01,Therapy,339.0,Yes,85.89,3681.0,6.41,11905.0,0.87,40.16 +86867,China,2022,Hepatitis,Chronic,5.82,1.05,8.3,0-18,Other,10257,64.08,4.43,8.81,Therapy,820.0,No,79.79,1935.0,0.06,14941.0,0.57,71.46 +86868,Germany,2013,Measles,Metabolic,11.12,3.65,9.88,0-18,Male,109205,96.68,0.92,4.58,Medication,23712.0,No,75.19,2547.0,0.37,64693.0,0.71,69.92 +86872,Saudi Arabia,2014,Rabies,Viral,12.72,10.49,0.4,19-35,Male,637188,56.86,1.64,2.37,Vaccination,42276.0,Yes,72.07,298.0,7.21,99217.0,0.52,81.7 +86890,China,2024,Polio,Chronic,14.7,2.73,0.35,61+,Male,724102,98.98,3.06,9.72,Vaccination,32911.0,No,65.4,4458.0,9.71,39114.0,0.83,74.15 +86895,Mexico,2018,Malaria,Metabolic,0.6,9.91,3.96,19-35,Other,259530,56.61,4.69,9.15,Surgery,45623.0,Yes,97.47,48.0,7.01,70434.0,0.63,40.02 +86901,Canada,2003,Diabetes,Neurological,15.92,9.31,9.2,61+,Male,230303,64.16,1.25,5.88,Vaccination,6767.0,Yes,81.5,2916.0,9.88,30666.0,0.8,72.17 +86903,Canada,2013,Parkinson's Disease,Chronic,19.98,7.71,4.89,36-60,Male,906863,81.96,0.78,7.9,Surgery,9084.0,No,95.53,1277.0,1.63,91799.0,0.44,24.96 +86909,France,2011,Hepatitis,Viral,14.02,12.33,9.68,19-35,Female,498990,64.32,2.11,6.32,Therapy,24333.0,Yes,70.4,4279.0,5.43,46729.0,0.6,25.51 +86915,South Korea,2024,Malaria,Parasitic,19.82,11.42,1.45,19-35,Female,203334,62.84,0.87,9.02,Medication,3507.0,No,68.21,56.0,7.8,97539.0,0.52,25.39 +86924,Australia,2005,Cholera,Neurological,2.29,13.52,5.71,36-60,Female,472222,92.25,2.97,3.69,Vaccination,39672.0,Yes,58.8,3656.0,9.19,46368.0,0.61,25.05 +86926,Australia,2022,Hepatitis,Metabolic,9.12,10.03,4.25,0-18,Female,545382,73.47,3.08,1.96,Medication,16601.0,Yes,57.68,4158.0,0.4,80303.0,0.79,24.38 +86927,Australia,2016,Malaria,Genetic,11.38,1.97,3.12,36-60,Other,761627,96.45,1.79,8.19,Surgery,510.0,Yes,59.91,72.0,5.35,19548.0,0.6,77.57 +86930,India,2000,Parkinson's Disease,Bacterial,10.31,13.51,5.77,36-60,Female,642823,90.74,1.09,5.3,Vaccination,21130.0,Yes,98.74,3463.0,0.03,73133.0,0.61,36.23 +86935,Nigeria,2005,Zika,Chronic,11.56,7.12,0.53,61+,Other,437226,84.8,2.07,8.91,Vaccination,12282.0,Yes,79.19,262.0,5.84,96405.0,0.59,85.17 +86936,UK,2000,Hypertension,Metabolic,12.43,6.95,2.1,36-60,Male,647726,89.15,2.83,4.33,Surgery,32234.0,Yes,72.86,140.0,9.27,22796.0,0.8,46.11 +86937,India,2001,COVID-19,Autoimmune,12.14,14.24,0.59,0-18,Male,586057,70.34,2.64,8.82,Medication,47495.0,No,95.22,2335.0,9.22,89300.0,0.57,44.24 +86939,Japan,2013,Ebola,Genetic,18.57,8.55,0.15,61+,Other,802286,94.98,4.81,7.9,Surgery,11638.0,Yes,54.17,4149.0,5.92,56965.0,0.75,80.03 +86945,Nigeria,2015,Influenza,Parasitic,13.29,7.56,2.4,61+,Female,123887,74.61,3.29,3.99,Surgery,11052.0,No,86.39,2300.0,9.25,42276.0,0.66,84.13 +86947,South Africa,2023,Leprosy,Infectious,6.25,12.64,6.5,0-18,Female,913003,56.03,1.57,3.77,Therapy,2019.0,Yes,59.49,1646.0,4.22,4343.0,0.9,52.74 +86957,Argentina,2014,COVID-19,Cardiovascular,9.43,12.94,5.2,19-35,Male,822941,68.12,1.32,9.99,Medication,31789.0,No,72.32,214.0,3.57,97010.0,0.7,60.92 +86967,France,2003,Leprosy,Cardiovascular,18.76,13.64,2.13,19-35,Female,119230,63.57,4.12,7.64,Therapy,28982.0,Yes,96.63,3489.0,5.88,29351.0,0.5,66.5 +86968,USA,2013,Diabetes,Bacterial,15.46,11.38,4.17,36-60,Female,755102,50.57,1.96,3.73,Medication,13062.0,No,63.48,1515.0,0.26,6893.0,0.42,25.77 +86970,South Korea,2011,Ebola,Autoimmune,17.15,1.76,9.87,36-60,Male,332028,65.33,0.73,4.43,Vaccination,8926.0,Yes,54.13,2174.0,6.62,17392.0,0.75,33.9 +86974,Saudi Arabia,2023,Hepatitis,Chronic,3.37,14.73,6.94,0-18,Male,843100,71.32,0.86,3.74,Therapy,31443.0,No,98.34,4386.0,1.34,75906.0,0.57,21.89 +86979,UK,2005,COVID-19,Respiratory,9.62,8.74,4.78,0-18,Other,279518,95.1,1.62,3.08,Medication,16974.0,No,70.99,1803.0,6.38,80599.0,0.89,63.93 +86982,South Korea,2015,Dengue,Bacterial,7.19,13.55,2.82,19-35,Other,461309,93.15,3.03,0.93,Vaccination,23480.0,Yes,51.37,4227.0,8.4,92067.0,0.78,85.11 +86984,UK,2008,Asthma,Bacterial,14.69,2.76,5.49,36-60,Other,313195,93.57,1.58,4.04,Vaccination,17985.0,Yes,79.45,4661.0,3.05,63548.0,0.59,76.09 +86986,Japan,2021,Cancer,Parasitic,16.45,4.07,0.94,36-60,Female,846044,91.04,2.84,5.67,Vaccination,18971.0,Yes,81.99,1542.0,7.69,96801.0,0.54,57.41 +86987,South Africa,2012,HIV/AIDS,Metabolic,12.73,4.92,6.19,61+,Other,707258,92.55,2.23,1.43,Vaccination,14130.0,No,82.21,1587.0,6.09,76480.0,0.63,41.5 +86990,Mexico,2002,Ebola,Chronic,14.17,13.86,2.46,61+,Female,568026,74.27,1.14,5.17,Therapy,16242.0,No,86.76,4537.0,4.89,29202.0,0.88,47.36 +86991,France,2014,Ebola,Chronic,7.33,14.04,7.38,19-35,Male,146973,82.01,3.71,2.58,Medication,3209.0,Yes,52.68,2545.0,6.89,78117.0,0.86,71.7 +86992,Mexico,2003,Leprosy,Cardiovascular,14.19,5.67,3.16,0-18,Male,905673,76.84,3.46,0.59,Therapy,47035.0,Yes,74.24,3100.0,7.17,75925.0,0.89,39.77 +86997,Argentina,2014,Dengue,Infectious,4.46,9.58,0.68,0-18,Male,309094,98.74,4.72,8.18,Medication,9809.0,No,98.25,1474.0,1.14,37731.0,0.57,77.73 +86998,Australia,2013,Hypertension,Infectious,17.49,1.29,1.54,0-18,Other,459873,61.64,2.0,5.15,Vaccination,35574.0,No,68.5,47.0,4.54,22363.0,0.63,47.45 +87006,France,2000,Rabies,Bacterial,17.31,3.6,7.73,61+,Other,924134,89.09,4.8,5.28,Vaccination,11077.0,No,91.82,1374.0,5.67,15147.0,0.45,73.71 +87009,Russia,2001,Hepatitis,Respiratory,13.58,2.67,9.78,36-60,Male,600208,67.71,2.57,1.96,Vaccination,17288.0,No,71.7,4326.0,3.97,69081.0,0.85,48.51 +87019,USA,2003,Diabetes,Respiratory,2.38,3.43,8.96,0-18,Male,283145,77.14,1.27,1.56,Surgery,6197.0,No,81.87,2301.0,6.42,95831.0,0.8,48.14 +87021,Nigeria,2022,Cholera,Chronic,0.58,3.92,2.42,19-35,Female,738494,99.25,0.99,9.58,Medication,26752.0,No,72.23,4603.0,4.94,30355.0,0.76,86.87 +87030,Canada,2007,Cancer,Parasitic,9.42,13.3,2.88,19-35,Female,518562,67.16,2.02,2.27,Medication,41406.0,Yes,65.08,186.0,4.65,19709.0,0.77,75.2 +87040,France,2006,Leprosy,Infectious,10.58,5.6,9.96,19-35,Other,244123,86.0,4.47,9.61,Medication,34298.0,No,90.3,3354.0,4.94,13027.0,0.72,83.29 +87042,USA,2016,Leprosy,Cardiovascular,1.72,7.54,9.27,0-18,Other,606254,71.0,4.97,0.68,Vaccination,27675.0,Yes,52.12,2270.0,3.32,38251.0,0.86,78.91 +87043,Russia,2015,COVID-19,Chronic,3.57,0.88,8.97,0-18,Female,884967,83.15,3.11,8.12,Medication,7238.0,Yes,82.26,2495.0,3.62,30495.0,0.77,82.53 +87048,Mexico,2019,Cancer,Viral,16.28,5.93,7.53,36-60,Other,227152,57.94,3.09,9.42,Vaccination,13061.0,No,96.37,4914.0,4.59,21361.0,0.44,55.81 +87049,Argentina,2010,Dengue,Cardiovascular,1.82,2.21,1.17,0-18,Female,597489,95.96,0.91,8.33,Surgery,10684.0,No,56.26,2972.0,6.3,4549.0,0.59,69.19 +87050,Germany,2010,Dengue,Neurological,10.72,7.67,4.18,0-18,Other,726441,94.7,1.3,0.59,Medication,32782.0,No,82.99,4311.0,5.41,97788.0,0.55,54.66 +87059,UK,2009,Tuberculosis,Respiratory,8.23,0.84,2.33,19-35,Female,742265,72.73,2.32,2.13,Therapy,3975.0,Yes,83.37,3378.0,1.34,32964.0,0.6,77.06 +87060,Italy,2011,Influenza,Infectious,6.69,14.52,6.7,36-60,Other,137936,73.29,4.2,6.83,Therapy,30823.0,Yes,53.09,4577.0,0.78,89009.0,0.56,27.98 +87062,Brazil,2020,Malaria,Bacterial,16.73,14.48,0.48,36-60,Male,619261,71.36,3.13,7.83,Vaccination,6010.0,No,86.85,4014.0,1.82,60269.0,0.4,71.46 +87064,Nigeria,2023,Diabetes,Chronic,4.09,11.76,2.77,61+,Male,857375,93.83,1.77,8.54,Therapy,39071.0,No,81.09,30.0,9.16,47704.0,0.61,55.69 +87066,Russia,2008,Diabetes,Autoimmune,2.44,0.37,7.95,61+,Female,308493,53.52,1.74,2.75,Therapy,5391.0,No,95.23,4197.0,4.47,94224.0,0.47,41.59 +87070,Australia,2014,Cholera,Cardiovascular,10.15,9.07,6.19,0-18,Male,321468,65.44,1.02,2.48,Medication,26119.0,Yes,65.74,527.0,6.81,24752.0,0.7,50.28 +87075,South Africa,2002,Zika,Viral,10.43,9.37,1.33,36-60,Male,827307,96.63,4.24,8.36,Surgery,8911.0,No,50.14,2298.0,4.92,14651.0,0.54,85.46 +87081,South Africa,2010,Hypertension,Infectious,17.21,14.29,0.36,36-60,Male,794947,74.97,2.11,3.95,Therapy,20279.0,No,94.95,2306.0,4.95,99355.0,0.46,27.64 +87086,Germany,2001,Parkinson's Disease,Infectious,18.21,5.57,0.29,0-18,Male,371371,97.39,3.34,5.31,Surgery,33581.0,No,93.24,1905.0,7.93,94382.0,0.47,43.88 +87091,China,2002,Alzheimer's Disease,Cardiovascular,9.97,7.15,8.5,19-35,Other,300334,72.81,4.34,8.62,Surgery,28503.0,Yes,73.42,62.0,2.24,1791.0,0.87,33.79 +87096,Japan,2017,Dengue,Infectious,14.82,2.69,4.55,0-18,Female,920420,65.83,4.85,7.41,Vaccination,39992.0,Yes,84.47,4370.0,2.73,71737.0,0.43,77.48 +87097,Australia,2016,Polio,Neurological,10.07,14.42,5.66,19-35,Male,323971,96.08,2.75,3.97,Surgery,35974.0,Yes,72.94,1126.0,5.95,84540.0,0.74,87.03 +87100,South Africa,2014,Leprosy,Respiratory,11.16,3.4,9.7,61+,Male,401266,83.48,3.7,6.36,Therapy,34618.0,Yes,71.17,4754.0,7.0,42415.0,0.55,27.29 +87104,Mexico,2017,HIV/AIDS,Cardiovascular,16.93,6.29,6.26,0-18,Female,482944,83.18,2.12,1.1,Medication,44794.0,No,96.01,3685.0,0.99,74167.0,0.45,25.2 +87110,USA,2007,Dengue,Respiratory,17.8,10.98,6.9,19-35,Female,172526,78.82,0.88,8.27,Surgery,7045.0,No,63.11,2092.0,7.86,68394.0,0.83,44.16 +87112,Russia,2022,Cholera,Viral,17.1,8.1,3.5,61+,Female,320878,68.69,2.88,8.81,Medication,36359.0,Yes,71.62,4047.0,5.21,89882.0,0.49,48.94 +87114,Germany,2003,COVID-19,Respiratory,11.48,6.82,0.96,0-18,Male,384352,60.85,3.51,7.05,Medication,36875.0,No,70.1,1371.0,1.36,4208.0,0.54,82.01 +87117,South Korea,2020,HIV/AIDS,Respiratory,13.27,7.96,2.8,19-35,Female,841005,96.23,2.07,5.69,Therapy,38455.0,Yes,65.51,1283.0,0.65,93944.0,0.77,36.77 +87118,Brazil,2020,Hypertension,Neurological,9.66,2.36,7.48,0-18,Female,512603,67.9,4.98,3.59,Surgery,49110.0,No,61.3,4678.0,9.1,854.0,0.68,86.52 +87122,Australia,2015,HIV/AIDS,Autoimmune,14.98,1.48,4.05,19-35,Male,806360,66.98,0.63,7.26,Vaccination,1991.0,Yes,54.96,1739.0,8.94,91704.0,0.64,85.48 +87124,UK,2007,Cancer,Infectious,12.43,2.06,8.95,19-35,Female,620120,70.72,2.61,7.14,Medication,1303.0,No,57.28,3128.0,3.37,66290.0,0.57,25.42 +87128,Turkey,2019,HIV/AIDS,Viral,11.92,14.95,5.74,0-18,Male,645633,54.46,2.35,9.14,Surgery,10562.0,No,59.83,2533.0,8.44,20483.0,0.84,70.45 +87131,China,2022,Cholera,Metabolic,2.82,4.78,3.23,36-60,Other,887873,96.52,2.1,9.03,Medication,13926.0,No,81.73,4507.0,5.85,85126.0,0.78,41.49 +87132,Argentina,2023,COVID-19,Neurological,13.48,9.01,4.9,61+,Female,223333,99.94,1.28,5.56,Therapy,18999.0,No,78.61,189.0,5.04,44000.0,0.8,33.15 +87139,France,2012,HIV/AIDS,Viral,2.99,12.87,8.95,19-35,Other,68951,77.36,2.07,3.56,Vaccination,4317.0,No,50.99,762.0,0.5,61470.0,0.5,21.65 +87140,Mexico,2004,Cholera,Chronic,17.03,8.38,3.28,0-18,Other,532178,73.99,0.52,1.13,Surgery,1681.0,Yes,79.29,1702.0,2.9,79545.0,0.59,76.64 +87142,South Africa,2023,Ebola,Metabolic,12.45,13.88,9.91,61+,Other,429664,64.24,1.23,8.64,Surgery,48786.0,Yes,91.85,1573.0,1.98,17253.0,0.57,84.96 +87145,Australia,2020,Ebola,Respiratory,18.73,11.64,6.95,0-18,Male,20016,63.5,3.07,3.94,Therapy,13145.0,No,58.27,1419.0,5.81,89653.0,0.49,33.57 +87148,China,2023,Ebola,Autoimmune,5.58,0.43,2.07,19-35,Male,422705,81.81,1.31,6.35,Medication,41172.0,No,58.77,850.0,0.67,38206.0,0.71,30.28 +87150,USA,2002,Hepatitis,Viral,0.48,13.34,5.47,19-35,Other,103181,50.73,4.01,6.84,Vaccination,28056.0,Yes,56.27,908.0,2.54,25493.0,0.62,74.53 +87157,Italy,2013,Ebola,Metabolic,18.5,3.16,2.14,61+,Female,591669,90.07,2.85,1.72,Therapy,49666.0,Yes,62.39,2677.0,2.45,1572.0,0.79,82.82 +87158,Indonesia,2012,Leprosy,Infectious,11.62,7.49,6.07,19-35,Female,373540,59.45,2.89,6.62,Vaccination,25724.0,No,66.8,3497.0,4.96,77171.0,0.85,21.75 +87159,Saudi Arabia,2013,Measles,Genetic,9.46,6.21,1.75,36-60,Male,298684,89.79,1.43,4.31,Medication,24246.0,Yes,71.4,784.0,9.37,67872.0,0.83,64.16 +87162,Argentina,2006,Dengue,Neurological,5.03,10.44,6.96,61+,Other,582878,90.42,1.08,8.96,Therapy,32177.0,Yes,85.24,4543.0,5.24,59058.0,0.81,81.52 +87163,Nigeria,2000,Dengue,Autoimmune,6.42,7.49,1.65,36-60,Male,447108,57.21,2.88,4.51,Vaccination,21443.0,No,83.73,4997.0,8.5,19295.0,0.65,36.0 +87166,Indonesia,2013,Cholera,Bacterial,8.16,11.78,0.31,61+,Female,891282,50.64,3.32,4.4,Surgery,46435.0,No,54.56,1678.0,2.86,79944.0,0.46,80.3 +87170,Japan,2002,Dengue,Genetic,1.11,14.3,3.43,61+,Female,630864,97.81,3.54,5.32,Therapy,13620.0,Yes,81.1,1800.0,9.02,54422.0,0.58,86.68 +87174,India,2017,Malaria,Chronic,6.17,5.17,1.52,61+,Other,922380,96.03,1.96,2.32,Medication,11115.0,No,88.98,2584.0,0.47,71944.0,0.8,26.63 +87175,Canada,2004,Tuberculosis,Neurological,12.31,5.44,3.56,19-35,Other,999741,72.71,0.74,6.77,Therapy,13517.0,Yes,50.32,2038.0,9.3,88653.0,0.56,66.27 +87182,Brazil,2024,Zika,Chronic,0.7,7.9,4.11,0-18,Other,961330,97.26,3.05,0.59,Medication,31400.0,No,61.36,1685.0,0.92,28575.0,0.48,26.04 +87185,South Korea,2005,Hypertension,Bacterial,15.36,8.38,4.78,61+,Other,114850,87.28,4.05,2.56,Vaccination,17012.0,No,52.94,3121.0,6.51,32177.0,0.85,80.03 +87188,South Korea,2001,HIV/AIDS,Respiratory,5.06,11.11,2.39,61+,Male,967947,75.21,1.11,6.21,Vaccination,38818.0,No,65.5,2529.0,8.34,80830.0,0.77,42.74 +87191,Japan,2014,Alzheimer's Disease,Infectious,11.22,13.63,8.49,0-18,Female,405027,96.43,3.46,3.66,Therapy,19244.0,Yes,72.43,3179.0,4.59,32698.0,0.62,32.55 +87193,USA,2019,Hepatitis,Infectious,11.3,1.11,2.33,36-60,Female,863707,56.13,2.48,7.3,Therapy,13820.0,Yes,94.76,950.0,4.76,30339.0,0.56,78.4 +87201,Nigeria,2014,Asthma,Parasitic,19.04,10.8,3.14,36-60,Other,252402,91.94,1.47,8.32,Surgery,25910.0,Yes,65.1,731.0,9.17,42113.0,0.44,37.62 +87207,Japan,2009,Cancer,Genetic,4.63,9.19,4.49,36-60,Female,452139,94.55,3.89,4.13,Therapy,31737.0,No,54.03,449.0,4.49,45010.0,0.51,50.5 +87210,USA,2008,Hepatitis,Metabolic,1.77,12.07,0.43,61+,Male,796644,69.22,2.42,0.94,Medication,19374.0,Yes,68.43,2227.0,7.37,18937.0,0.59,62.82 +87223,USA,2013,Zika,Cardiovascular,8.09,12.65,6.52,0-18,Other,720564,96.98,2.94,2.1,Medication,11205.0,Yes,68.87,4389.0,6.75,46155.0,0.7,65.97 +87228,USA,2001,Rabies,Infectious,9.24,6.65,8.66,19-35,Other,185554,72.71,1.76,9.95,Surgery,4403.0,No,51.8,3581.0,0.04,2880.0,0.84,72.8 +87229,Argentina,2023,COVID-19,Parasitic,5.54,14.06,1.97,36-60,Other,127858,50.37,1.27,5.3,Medication,46245.0,Yes,88.73,2117.0,8.97,71542.0,0.85,44.21 +87233,Germany,2024,Tuberculosis,Metabolic,3.07,9.37,5.17,61+,Male,183750,52.28,0.74,5.91,Vaccination,33173.0,Yes,51.01,473.0,2.54,50589.0,0.64,59.33 +87244,Indonesia,2007,Tuberculosis,Respiratory,14.55,1.67,1.75,61+,Other,649347,83.74,0.95,9.94,Surgery,24206.0,Yes,82.12,3976.0,1.16,95485.0,0.47,77.33 +87246,Argentina,2016,Leprosy,Genetic,4.34,11.94,1.8,36-60,Female,926519,85.76,0.67,4.94,Therapy,27812.0,No,50.94,2685.0,0.08,56059.0,0.42,42.53 +87248,Nigeria,2018,Alzheimer's Disease,Viral,6.14,10.76,1.21,61+,Other,483779,89.62,3.54,1.85,Surgery,12955.0,Yes,67.09,4916.0,6.92,49021.0,0.81,63.11 +87249,Canada,2023,COVID-19,Infectious,18.23,0.42,2.85,36-60,Female,35235,59.1,2.94,9.06,Medication,4175.0,No,86.6,83.0,4.14,27460.0,0.81,30.44 +87254,USA,2019,Zika,Parasitic,2.81,7.51,2.27,19-35,Male,666469,50.82,0.7,8.66,Vaccination,20204.0,No,75.61,3861.0,8.87,58902.0,0.41,53.58 +87261,Canada,2012,Asthma,Metabolic,0.22,7.37,0.63,61+,Male,933586,88.08,2.18,5.42,Medication,26854.0,No,80.53,4277.0,0.3,8468.0,0.49,31.64 +87263,UK,2003,Asthma,Neurological,10.53,3.56,5.95,19-35,Other,261299,81.17,1.41,1.01,Vaccination,42933.0,Yes,54.33,589.0,3.01,71967.0,0.53,63.93 +87268,Australia,2013,Polio,Viral,5.27,9.89,4.81,0-18,Male,132165,76.64,1.68,4.73,Surgery,22130.0,No,83.1,1497.0,8.38,18266.0,0.45,26.24 +87269,South Africa,2006,Polio,Bacterial,15.84,14.37,3.3,19-35,Other,811075,93.79,4.9,6.87,Vaccination,37619.0,No,70.2,1256.0,2.98,11176.0,0.6,30.72 +87280,Turkey,2010,Malaria,Parasitic,16.84,7.58,7.51,61+,Female,538846,97.73,4.39,4.56,Medication,41009.0,Yes,66.7,4632.0,3.07,48847.0,0.62,22.06 +87282,South Africa,2008,Zika,Parasitic,12.59,14.45,6.28,19-35,Male,10008,74.94,2.22,7.39,Therapy,24004.0,Yes,80.89,3180.0,5.79,72705.0,0.5,50.38 +87289,Italy,2017,Leprosy,Metabolic,7.57,13.94,6.83,61+,Male,125128,52.22,3.11,2.43,Surgery,24101.0,No,60.2,2187.0,7.47,21981.0,0.65,68.43 +87296,South Korea,2006,HIV/AIDS,Parasitic,7.91,13.1,8.02,19-35,Other,954359,93.0,1.24,8.71,Surgery,35964.0,No,93.76,2440.0,9.19,62763.0,0.85,79.67 +87297,Germany,2016,Diabetes,Chronic,19.96,9.86,8.65,19-35,Female,716855,68.93,1.73,0.76,Therapy,5702.0,No,84.87,3613.0,9.2,30464.0,0.6,34.01 +87300,Brazil,2006,Diabetes,Viral,17.29,11.67,9.83,61+,Female,323625,60.89,2.0,6.34,Medication,48500.0,No,68.77,2238.0,6.89,85564.0,0.75,72.86 +87319,South Africa,2005,Tuberculosis,Metabolic,2.12,8.37,9.68,36-60,Other,377318,83.17,2.86,2.75,Therapy,18337.0,Yes,67.25,3584.0,3.73,33529.0,0.65,59.26 +87323,France,2001,Rabies,Neurological,19.07,4.5,1.89,19-35,Female,452182,55.81,3.9,7.33,Vaccination,42170.0,No,75.63,1141.0,7.45,40473.0,0.86,80.84 +87325,Indonesia,2000,Rabies,Infectious,1.34,9.0,9.26,61+,Male,1476,56.24,2.69,3.71,Surgery,32984.0,No,78.92,1335.0,5.08,21291.0,0.57,53.35 +87328,USA,2013,COVID-19,Bacterial,9.02,5.53,5.67,61+,Other,391710,51.21,2.55,0.71,Medication,22733.0,No,71.93,2430.0,9.13,32790.0,0.44,59.15 +87332,India,2017,Leprosy,Infectious,7.25,13.6,8.71,61+,Female,523996,81.66,2.69,1.05,Therapy,21544.0,Yes,71.63,1372.0,8.48,24787.0,0.63,39.52 +87344,China,2021,Influenza,Chronic,5.51,10.0,6.69,61+,Male,448089,70.8,1.0,5.57,Surgery,26136.0,No,96.54,3737.0,5.78,55094.0,0.88,44.23 +87347,South Africa,2021,COVID-19,Genetic,7.25,3.78,8.94,61+,Male,196789,64.72,3.39,4.91,Therapy,809.0,Yes,67.6,782.0,8.89,39327.0,0.55,81.85 +87352,Indonesia,2013,Leprosy,Cardiovascular,17.36,2.8,0.8,19-35,Female,374317,68.15,4.02,7.54,Vaccination,37590.0,No,79.71,4748.0,8.02,77652.0,0.69,50.49 +87361,Germany,2003,Cancer,Neurological,11.91,4.95,5.37,36-60,Female,127618,76.71,0.55,5.7,Surgery,45144.0,Yes,79.71,3625.0,3.58,18525.0,0.46,31.33 +87365,Mexico,2014,Measles,Neurological,10.66,2.2,2.81,36-60,Male,60121,58.03,1.13,3.5,Surgery,35218.0,Yes,56.4,3129.0,9.66,41405.0,0.76,34.84 +87367,USA,2016,Hypertension,Metabolic,15.65,4.83,9.82,36-60,Male,985528,85.74,2.6,6.58,Surgery,40268.0,Yes,96.29,2612.0,2.13,21864.0,0.86,22.39 +87371,Germany,2008,Cancer,Bacterial,1.46,1.61,0.19,0-18,Female,561500,81.19,1.93,5.76,Surgery,20368.0,No,59.41,1157.0,1.02,19113.0,0.65,22.82 +87374,Brazil,2007,COVID-19,Infectious,1.78,2.83,8.28,36-60,Other,913080,85.39,2.36,7.81,Vaccination,15849.0,Yes,85.81,1847.0,5.59,63330.0,0.8,40.95 +87375,USA,2007,Dengue,Metabolic,11.66,12.44,8.94,61+,Female,862937,99.68,4.19,6.67,Surgery,48238.0,Yes,59.06,4320.0,7.71,57451.0,0.76,53.89 +87382,South Korea,2013,Hepatitis,Neurological,9.92,13.33,7.74,0-18,Male,436885,52.99,1.78,6.23,Medication,44262.0,Yes,75.53,517.0,6.08,99739.0,0.63,56.12 +87392,South Korea,2016,Parkinson's Disease,Infectious,7.24,14.49,5.35,19-35,Other,617908,70.11,4.85,2.75,Vaccination,28127.0,No,85.79,1474.0,6.77,63021.0,0.81,50.0 +87395,Canada,2016,Leprosy,Autoimmune,7.54,0.51,6.35,61+,Female,107394,93.23,0.74,3.29,Medication,25094.0,Yes,77.8,2905.0,0.22,69003.0,0.64,67.49 +87398,South Korea,2004,Diabetes,Neurological,14.96,13.89,7.4,19-35,Other,212209,87.89,0.77,5.6,Vaccination,19525.0,No,52.61,4653.0,6.28,39190.0,0.71,39.32 +87399,South Africa,2016,Asthma,Genetic,18.18,2.52,5.43,19-35,Male,936696,62.94,2.57,9.17,Surgery,13719.0,Yes,52.39,1145.0,3.49,50835.0,0.47,74.74 +87401,China,2006,Hepatitis,Autoimmune,4.18,2.54,4.16,19-35,Female,751755,76.15,1.13,8.26,Medication,49997.0,Yes,84.21,4196.0,2.03,94736.0,0.73,80.99 +87404,Japan,2006,HIV/AIDS,Respiratory,15.31,10.8,2.76,0-18,Female,222905,71.51,3.42,2.7,Surgery,23939.0,No,80.59,1641.0,6.88,36864.0,0.89,43.26 +87409,Australia,2016,Malaria,Infectious,7.91,10.5,2.34,0-18,Other,589505,63.95,4.67,7.46,Vaccination,38240.0,No,61.3,3867.0,1.78,58080.0,0.48,41.36 +87415,Mexico,2018,Hepatitis,Metabolic,6.04,1.25,2.32,36-60,Male,766152,68.77,3.99,8.13,Medication,7966.0,Yes,71.15,1849.0,3.01,93167.0,0.51,77.35 +87417,Japan,2018,Leprosy,Bacterial,14.81,8.87,6.07,19-35,Female,185970,77.89,1.1,7.23,Therapy,49338.0,No,58.61,461.0,3.81,1175.0,0.67,26.77 +87421,Mexico,2015,Cholera,Respiratory,8.43,0.86,7.78,61+,Other,851556,76.95,3.03,9.46,Surgery,33501.0,No,74.76,4461.0,7.84,86597.0,0.42,38.25 +87428,Turkey,2018,Polio,Chronic,12.68,0.41,2.4,36-60,Male,572492,90.34,2.85,6.06,Surgery,27349.0,Yes,75.14,4491.0,3.51,2700.0,0.8,20.35 +87430,Russia,2013,Tuberculosis,Autoimmune,2.89,6.01,0.36,36-60,Male,390782,89.67,2.24,2.38,Therapy,9052.0,Yes,76.16,890.0,8.1,77769.0,0.81,38.23 +87436,Italy,2014,Asthma,Cardiovascular,3.47,13.63,3.52,19-35,Female,403249,81.92,1.48,7.83,Therapy,7299.0,No,64.84,3922.0,0.23,91493.0,0.71,25.18 +87437,Nigeria,2010,Polio,Viral,4.67,1.49,3.57,61+,Other,787927,90.44,0.82,6.37,Surgery,15094.0,Yes,63.43,157.0,9.0,534.0,0.63,60.95 +87440,USA,2017,Cholera,Respiratory,9.49,10.15,1.12,61+,Male,991767,78.23,4.93,1.52,Surgery,23424.0,Yes,60.48,2801.0,4.19,67972.0,0.44,62.55 +87443,Argentina,2001,Asthma,Infectious,4.21,8.14,6.64,0-18,Female,518686,75.34,1.9,4.49,Surgery,33812.0,No,86.5,1715.0,4.41,90514.0,0.57,31.99 +87444,Indonesia,2016,Diabetes,Chronic,12.44,9.79,4.21,36-60,Other,889270,91.72,1.73,1.81,Surgery,7715.0,Yes,84.97,2203.0,1.47,47111.0,0.58,62.05 +87446,Australia,2009,Ebola,Neurological,18.49,14.77,8.06,0-18,Female,917348,74.96,3.01,2.92,Medication,18266.0,Yes,90.42,4401.0,5.78,37875.0,0.79,20.96 +87450,Italy,2022,Dengue,Viral,12.63,11.34,6.94,0-18,Female,394248,84.39,0.67,3.89,Therapy,13637.0,Yes,76.07,192.0,9.98,24837.0,0.69,82.42 +87463,Italy,2006,Asthma,Infectious,0.71,9.35,7.94,61+,Female,423289,83.93,1.77,8.79,Therapy,2008.0,Yes,62.13,4338.0,9.78,91407.0,0.6,44.42 +87465,Saudi Arabia,2003,Cancer,Chronic,19.11,1.1,4.28,61+,Female,146084,63.72,2.37,3.44,Surgery,11787.0,No,52.09,1600.0,4.65,19677.0,0.42,51.33 +87469,UK,2003,Polio,Metabolic,8.98,5.4,8.73,36-60,Other,185727,98.68,1.58,4.1,Surgery,14634.0,No,94.87,1048.0,1.71,97076.0,0.6,79.52 +87470,South Africa,2017,Asthma,Chronic,13.65,12.84,2.85,61+,Other,604237,95.76,3.16,3.4,Medication,17150.0,Yes,98.72,2348.0,9.99,65318.0,0.57,50.76 +87475,Turkey,2011,Diabetes,Neurological,0.33,13.79,4.72,19-35,Male,628196,92.95,2.0,5.03,Therapy,4713.0,Yes,69.51,3764.0,7.78,68469.0,0.43,28.13 +87480,Argentina,2004,Polio,Respiratory,10.72,5.54,2.03,61+,Female,103200,63.8,2.02,8.38,Surgery,23505.0,Yes,73.24,3630.0,5.73,85141.0,0.7,48.89 +87481,Canada,2004,Alzheimer's Disease,Viral,3.09,5.13,5.64,36-60,Male,482287,70.89,1.77,9.7,Surgery,12293.0,Yes,75.95,4063.0,3.57,66565.0,0.81,54.03 +87483,Saudi Arabia,2019,Cholera,Genetic,19.94,4.77,0.8,36-60,Female,736076,57.25,1.93,4.22,Surgery,37937.0,No,75.34,753.0,2.29,6111.0,0.59,39.49 +87484,UK,2014,Tuberculosis,Infectious,15.41,0.22,0.78,19-35,Other,611207,64.01,1.19,6.49,Vaccination,43856.0,No,93.02,1474.0,9.21,4362.0,0.57,63.7 +87485,USA,2024,Diabetes,Infectious,2.01,8.72,2.38,61+,Other,281090,75.22,2.57,6.04,Surgery,43344.0,No,51.34,2053.0,5.79,89163.0,0.67,77.66 +87488,UK,2008,Malaria,Infectious,4.77,11.76,0.13,61+,Female,149579,57.59,1.27,7.07,Therapy,35914.0,No,69.72,1701.0,3.99,10184.0,0.74,69.17 +87489,UK,2024,Alzheimer's Disease,Bacterial,3.74,7.96,8.3,61+,Other,256398,54.69,1.27,6.88,Medication,15171.0,Yes,65.35,2549.0,6.72,26801.0,0.77,57.52 +87501,Saudi Arabia,2001,Hypertension,Respiratory,11.83,6.9,1.48,61+,Female,199402,91.42,2.74,4.77,Vaccination,33551.0,No,58.24,1224.0,8.19,91963.0,0.44,39.22 +87504,France,2012,COVID-19,Neurological,4.33,13.21,9.83,61+,Other,373760,53.0,4.79,6.54,Therapy,49952.0,No,80.09,4938.0,6.02,60984.0,0.51,27.25 +87512,Australia,2024,Cancer,Metabolic,12.28,9.18,1.04,36-60,Male,621107,69.57,2.67,4.82,Vaccination,41102.0,Yes,74.87,711.0,5.87,34183.0,0.81,78.05 +87537,Mexico,2015,HIV/AIDS,Chronic,2.47,1.21,7.95,19-35,Female,925789,77.34,4.86,9.69,Surgery,19475.0,Yes,53.49,4955.0,9.91,22145.0,0.89,66.61 +87546,Russia,2022,HIV/AIDS,Infectious,0.37,13.64,7.13,61+,Other,557715,81.21,4.87,3.7,Surgery,41319.0,Yes,69.94,1221.0,9.91,74694.0,0.7,67.97 +87548,Nigeria,2011,Cholera,Autoimmune,11.87,3.75,8.34,61+,Male,748894,81.17,3.77,9.42,Therapy,44560.0,No,53.94,2567.0,2.45,14348.0,0.88,27.51 +87550,Brazil,2015,Measles,Bacterial,4.38,8.31,3.02,0-18,Female,530983,86.52,3.9,7.64,Vaccination,20851.0,No,80.86,249.0,5.45,11905.0,0.6,51.11 +87551,Canada,2002,Cancer,Genetic,3.66,5.0,1.39,0-18,Male,379221,73.03,2.23,2.3,Vaccination,24058.0,No,89.16,184.0,7.23,2068.0,0.49,64.13 +87561,Saudi Arabia,2019,Parkinson's Disease,Viral,19.93,8.62,8.24,61+,Male,712360,88.31,3.59,1.26,Vaccination,26473.0,No,61.14,3308.0,7.08,29137.0,0.76,59.46 +87566,China,2010,Cholera,Infectious,2.63,12.83,5.12,0-18,Male,153789,96.02,3.3,7.33,Medication,14001.0,No,82.91,3437.0,5.61,20586.0,0.72,79.39 +87571,Germany,2006,Tuberculosis,Autoimmune,14.06,4.58,2.96,0-18,Male,731358,87.81,2.47,3.02,Therapy,29807.0,No,80.87,1278.0,9.82,71031.0,0.78,35.27 +87576,South Africa,2024,Cholera,Cardiovascular,19.37,14.18,0.86,0-18,Male,952900,92.27,1.86,7.2,Medication,41975.0,Yes,82.06,4639.0,3.65,46763.0,0.65,50.4 +87577,South Korea,2003,Asthma,Cardiovascular,7.33,9.53,1.92,0-18,Female,797177,52.44,3.47,2.22,Surgery,20869.0,Yes,63.19,769.0,3.39,98458.0,0.87,33.84 +87580,USA,2015,Hypertension,Genetic,3.07,10.49,6.2,19-35,Female,941674,88.58,4.13,4.06,Vaccination,35465.0,No,79.89,3872.0,0.66,15645.0,0.63,49.19 +87598,Nigeria,2005,Ebola,Cardiovascular,5.92,11.42,8.01,36-60,Other,2450,80.64,1.74,7.51,Vaccination,1707.0,Yes,90.07,4196.0,9.64,22201.0,0.58,65.76 +87606,Italy,2000,Rabies,Metabolic,16.52,11.16,1.6,61+,Female,526970,85.89,1.91,6.26,Vaccination,16078.0,No,80.68,527.0,6.7,56982.0,0.63,49.85 +87608,Russia,2014,Hypertension,Parasitic,5.85,3.36,6.85,61+,Female,482713,93.92,3.0,6.61,Medication,2624.0,Yes,97.61,1804.0,2.81,26535.0,0.52,88.75 +87614,Mexico,2008,Cholera,Parasitic,7.1,6.98,6.72,36-60,Male,708430,78.57,2.39,7.97,Vaccination,7579.0,No,98.97,2289.0,5.63,20486.0,0.5,23.79 +87618,UK,2014,Cancer,Infectious,13.66,5.78,0.2,19-35,Male,671096,96.72,1.91,3.48,Medication,43474.0,No,68.23,1895.0,2.82,54070.0,0.86,60.14 +87619,Saudi Arabia,2009,Measles,Chronic,18.17,5.09,0.67,19-35,Male,559445,80.05,3.83,0.75,Therapy,37583.0,Yes,54.28,4778.0,4.57,58932.0,0.62,63.2 +87622,China,2008,Influenza,Viral,4.93,8.93,1.3,36-60,Male,369307,60.52,3.03,3.33,Medication,36067.0,Yes,74.04,2096.0,6.74,67979.0,0.87,32.68 +87623,Brazil,2006,Cancer,Parasitic,16.27,3.41,8.76,0-18,Other,911155,87.29,2.22,8.85,Surgery,22543.0,Yes,53.67,1269.0,1.25,27581.0,0.69,35.44 +87628,South Korea,2012,Measles,Neurological,16.49,7.71,4.15,61+,Other,573538,60.36,4.24,5.51,Therapy,41291.0,No,74.13,378.0,4.58,29066.0,0.8,29.74 +87635,Mexico,2000,Measles,Bacterial,17.31,7.5,4.21,36-60,Male,697907,57.18,2.17,9.64,Medication,6013.0,Yes,87.4,619.0,0.13,27860.0,0.53,34.0 +87636,Germany,2022,Hypertension,Parasitic,18.81,13.11,9.61,0-18,Other,40023,95.45,4.61,2.99,Medication,45879.0,Yes,97.47,3921.0,8.76,7871.0,0.45,87.47 +87641,Australia,2010,Influenza,Genetic,12.8,9.19,1.32,36-60,Male,746928,57.87,1.13,3.38,Surgery,21651.0,Yes,56.43,2261.0,0.68,62585.0,0.88,25.88 +87651,Brazil,2011,HIV/AIDS,Parasitic,10.14,10.09,7.06,36-60,Other,800084,55.3,3.71,7.86,Vaccination,5738.0,Yes,93.61,60.0,6.1,60342.0,0.61,76.29 +87654,Turkey,2024,HIV/AIDS,Autoimmune,18.27,6.66,7.2,36-60,Male,93810,83.83,3.16,7.29,Vaccination,44671.0,No,59.62,4277.0,4.64,57331.0,0.61,79.95 +87658,USA,2006,COVID-19,Genetic,1.99,11.29,9.6,61+,Other,324650,73.29,1.46,8.94,Surgery,46512.0,Yes,92.22,3533.0,4.94,18176.0,0.61,67.8 +87663,Italy,2003,Hepatitis,Chronic,14.34,5.92,0.54,36-60,Other,114712,88.91,1.81,7.07,Medication,47030.0,Yes,88.79,1101.0,0.89,33104.0,0.42,66.33 +87666,Australia,2019,Leprosy,Chronic,19.2,3.01,5.44,19-35,Other,117501,97.44,4.94,4.61,Medication,15733.0,Yes,71.03,4871.0,2.76,34765.0,0.86,80.14 +87674,Argentina,2010,Rabies,Parasitic,16.01,13.11,4.79,61+,Other,94154,53.44,2.51,5.63,Surgery,27725.0,No,72.3,905.0,7.89,93131.0,0.66,53.41 +87675,Saudi Arabia,2021,Alzheimer's Disease,Viral,10.6,2.58,5.73,19-35,Male,379599,84.65,3.68,9.94,Medication,41950.0,No,76.95,2320.0,5.63,65563.0,0.41,58.43 +87676,Indonesia,2002,Influenza,Respiratory,9.0,3.29,3.15,36-60,Other,238464,87.05,4.33,8.76,Surgery,20422.0,Yes,55.51,500.0,3.43,76364.0,0.57,39.72 +87679,Argentina,2004,Asthma,Infectious,3.15,7.76,4.74,0-18,Male,359828,77.02,2.42,2.47,Vaccination,10224.0,Yes,58.99,4849.0,2.03,99699.0,0.83,53.12 +87693,Japan,2015,Zika,Chronic,8.67,7.08,1.73,61+,Male,214286,54.97,4.13,6.67,Vaccination,30462.0,No,83.06,1885.0,6.46,30915.0,0.45,34.41 +87699,France,2003,Cholera,Autoimmune,14.03,3.18,3.37,19-35,Female,546573,81.91,4.43,3.68,Surgery,3891.0,No,83.57,3908.0,5.78,55349.0,0.84,62.65 +87706,Nigeria,2019,Cholera,Parasitic,18.3,13.4,8.11,19-35,Other,353292,58.8,3.24,0.74,Surgery,21291.0,No,83.4,980.0,6.01,68917.0,0.58,61.45 +87711,Brazil,2011,Ebola,Chronic,13.13,4.58,9.75,0-18,Other,120049,87.7,1.8,8.95,Medication,8256.0,Yes,88.72,1407.0,2.16,64184.0,0.78,47.95 +87715,Japan,2011,Rabies,Neurological,4.88,11.98,8.92,19-35,Male,687587,99.58,3.44,4.77,Vaccination,27819.0,No,59.97,2558.0,3.2,25528.0,0.54,77.75 +87729,Mexico,2000,Alzheimer's Disease,Metabolic,11.66,12.9,0.91,61+,Female,799384,89.6,3.99,8.92,Vaccination,13627.0,Yes,56.89,4942.0,5.81,71815.0,0.76,59.38 +87730,Nigeria,2021,Hypertension,Bacterial,5.04,13.68,2.23,0-18,Female,645140,57.11,4.81,5.64,Vaccination,45579.0,No,74.14,2544.0,3.34,72918.0,0.89,86.55 +87756,Italy,2016,Diabetes,Parasitic,13.59,3.22,1.78,36-60,Female,558794,92.27,3.68,9.96,Vaccination,9717.0,Yes,82.13,4068.0,8.35,93308.0,0.81,22.73 +87759,UK,2009,HIV/AIDS,Chronic,2.32,3.98,6.91,0-18,Other,289378,80.64,3.51,6.33,Vaccination,46170.0,No,88.92,1988.0,7.69,89171.0,0.54,67.08 +87763,France,2012,Cancer,Viral,8.31,12.28,1.65,0-18,Other,510583,81.44,3.9,5.2,Vaccination,9420.0,No,55.43,4614.0,7.34,46724.0,0.53,27.59 +87764,UK,2006,Leprosy,Viral,14.16,13.51,8.02,0-18,Other,549770,65.53,4.53,7.25,Medication,28355.0,No,89.6,3574.0,5.58,5748.0,0.75,64.73 +87767,France,2021,HIV/AIDS,Metabolic,10.97,2.72,0.69,61+,Male,688587,52.95,3.59,9.71,Medication,31778.0,No,70.68,3620.0,8.57,16220.0,0.44,86.13 +87770,Canada,2019,Hypertension,Infectious,4.57,7.8,0.7,61+,Male,863522,65.65,0.87,8.16,Surgery,2689.0,Yes,60.44,1176.0,9.67,25868.0,0.66,33.89 +87771,Germany,2002,Diabetes,Cardiovascular,4.96,6.57,4.24,19-35,Female,634430,99.57,2.27,9.21,Medication,6389.0,Yes,89.09,1003.0,4.87,2883.0,0.44,75.08 +87778,France,2000,Rabies,Neurological,10.86,7.2,8.6,19-35,Female,49694,55.73,2.72,2.48,Surgery,12288.0,Yes,87.26,4677.0,3.96,23583.0,0.84,57.26 +87794,Brazil,2024,COVID-19,Neurological,19.09,2.27,9.0,19-35,Male,71087,54.71,4.33,7.34,Surgery,25188.0,Yes,53.5,3917.0,0.43,78159.0,0.88,85.31 +87805,Turkey,2019,Polio,Neurological,9.71,10.83,9.38,0-18,Male,275038,69.61,1.66,7.94,Surgery,22961.0,No,92.05,2224.0,0.06,48995.0,0.43,87.97 +87806,Canada,2000,Influenza,Chronic,12.15,12.63,2.95,61+,Female,993440,86.01,1.71,4.06,Medication,29235.0,No,76.49,587.0,8.56,40942.0,0.66,30.87 +87808,South Africa,2014,Alzheimer's Disease,Genetic,4.75,0.69,4.9,61+,Other,487306,61.87,2.46,5.2,Surgery,26740.0,No,67.28,1900.0,6.07,93141.0,0.8,87.24 +87813,Argentina,2018,Zika,Respiratory,3.74,7.01,1.92,19-35,Other,992751,66.4,2.36,1.5,Vaccination,24572.0,Yes,78.85,4368.0,1.65,64836.0,0.54,28.23 +87814,South Africa,2001,Ebola,Respiratory,14.83,10.17,0.19,0-18,Other,296043,91.55,3.5,2.81,Vaccination,27836.0,No,89.11,384.0,6.65,82363.0,0.43,74.06 +87816,Nigeria,2005,Hepatitis,Respiratory,16.22,4.24,2.45,36-60,Other,986098,71.15,4.7,2.29,Medication,29379.0,No,91.5,221.0,2.75,8940.0,0.78,76.84 +87822,UK,2023,Polio,Neurological,16.25,3.15,9.21,61+,Male,16463,53.56,4.03,2.58,Therapy,42206.0,No,89.03,3995.0,9.26,77462.0,0.78,76.97 +87827,South Korea,2021,Alzheimer's Disease,Parasitic,16.49,13.11,7.63,36-60,Female,317349,81.26,3.37,1.66,Therapy,2471.0,No,76.03,4165.0,9.5,35543.0,0.68,88.99 +87836,China,2012,Parkinson's Disease,Cardiovascular,4.51,10.03,7.41,61+,Male,408220,69.58,0.73,7.82,Therapy,10137.0,Yes,65.63,385.0,8.24,7884.0,0.68,29.8 +87843,India,2015,Cholera,Genetic,4.3,11.38,8.17,61+,Male,832579,80.51,1.74,9.11,Therapy,48593.0,Yes,85.94,2173.0,7.11,31377.0,0.61,42.55 +87845,Argentina,2014,Malaria,Infectious,19.78,12.22,4.02,19-35,Other,409752,72.3,2.02,3.11,Vaccination,42386.0,No,67.9,4563.0,7.27,6279.0,0.48,35.33 +87848,China,2018,Influenza,Respiratory,7.95,10.34,3.2,19-35,Other,478673,75.51,0.64,7.18,Therapy,25369.0,No,71.4,670.0,8.87,47427.0,0.45,80.8 +87856,South Africa,2007,Leprosy,Infectious,7.92,9.4,7.07,0-18,Female,803600,73.36,2.42,6.72,Medication,28609.0,Yes,66.27,3071.0,2.94,98226.0,0.89,79.58 +87860,Australia,2023,Hypertension,Chronic,17.49,9.83,2.16,19-35,Male,548517,75.4,2.23,4.11,Therapy,38474.0,Yes,85.63,1335.0,8.81,61504.0,0.77,33.36 +87862,Mexico,2017,HIV/AIDS,Metabolic,11.34,14.34,1.64,61+,Male,424762,72.83,1.5,9.51,Therapy,12869.0,No,51.24,3725.0,3.03,18037.0,0.83,80.44 +87863,Argentina,2022,Zika,Bacterial,12.88,14.89,3.39,19-35,Female,183809,76.17,4.8,8.33,Vaccination,31956.0,Yes,72.81,22.0,1.75,14938.0,0.46,43.97 +87866,Saudi Arabia,2001,Alzheimer's Disease,Neurological,11.24,11.09,4.72,19-35,Other,966714,79.2,2.74,5.75,Vaccination,1007.0,No,92.91,2571.0,8.8,31197.0,0.49,86.17 +87868,Indonesia,2007,HIV/AIDS,Neurological,15.25,9.2,3.34,0-18,Other,608101,54.7,2.19,3.33,Surgery,21048.0,Yes,74.59,1134.0,7.11,62527.0,0.43,60.55 +87873,France,2020,Leprosy,Autoimmune,7.29,10.71,5.15,19-35,Other,887967,77.75,3.52,7.4,Medication,47526.0,No,61.71,1581.0,7.99,40889.0,0.57,65.33 +87883,South Korea,2018,Cholera,Autoimmune,17.05,4.33,0.33,36-60,Female,341893,51.54,0.82,8.9,Surgery,35715.0,No,60.7,687.0,7.39,77690.0,0.84,70.82 +87885,Turkey,2011,Malaria,Respiratory,9.02,11.7,3.75,36-60,Male,696616,99.76,4.99,5.87,Medication,18462.0,Yes,78.74,3408.0,7.49,18114.0,0.77,63.88 +87886,India,2020,Parkinson's Disease,Genetic,19.34,9.54,3.12,61+,Female,256499,50.96,3.56,4.19,Therapy,19536.0,Yes,83.04,4549.0,7.79,82651.0,0.72,82.0 +87895,Brazil,2011,Cholera,Genetic,8.82,14.04,5.34,61+,Other,844876,92.38,4.66,3.32,Therapy,25851.0,No,86.8,3286.0,4.74,97157.0,0.75,71.33 +87897,Nigeria,2018,COVID-19,Parasitic,18.29,3.43,1.83,19-35,Male,455309,77.14,0.99,5.98,Therapy,43662.0,No,55.37,829.0,2.74,81049.0,0.68,28.43 +87900,USA,2003,Malaria,Chronic,10.96,5.86,6.93,36-60,Other,728204,85.86,0.71,4.68,Surgery,26579.0,No,60.36,4159.0,5.95,96915.0,0.42,48.17 +87911,Saudi Arabia,2012,Leprosy,Autoimmune,12.7,7.45,2.15,19-35,Male,894296,98.37,4.15,4.24,Vaccination,23905.0,No,86.1,1848.0,0.06,719.0,0.51,47.06 +87912,Mexico,2022,Diabetes,Respiratory,8.71,10.86,1.97,36-60,Other,448545,99.91,4.05,5.39,Surgery,2454.0,No,54.75,2274.0,7.35,19516.0,0.49,81.59 +87915,Saudi Arabia,2024,Influenza,Autoimmune,8.79,8.29,9.64,0-18,Male,514054,57.45,3.88,3.65,Therapy,45794.0,Yes,93.77,183.0,5.84,73647.0,0.71,77.07 +87924,Saudi Arabia,2006,Measles,Autoimmune,9.53,13.17,1.51,61+,Other,941154,75.46,3.45,8.17,Surgery,34191.0,Yes,73.9,3480.0,6.71,55206.0,0.87,84.4 +87925,Nigeria,2019,COVID-19,Autoimmune,13.3,6.43,6.85,36-60,Other,44478,88.84,3.96,8.35,Therapy,16848.0,Yes,86.65,3879.0,8.98,56194.0,0.63,87.21 +87927,China,2012,COVID-19,Autoimmune,0.56,3.12,2.42,36-60,Female,644763,75.6,4.0,4.38,Medication,11376.0,Yes,69.73,3669.0,9.73,67645.0,0.45,67.1 +87933,UK,2024,Measles,Respiratory,0.29,14.22,0.83,0-18,Other,744071,72.0,3.51,4.21,Vaccination,26524.0,No,60.79,54.0,2.77,3432.0,0.52,68.67 +87934,Mexico,2000,Ebola,Neurological,8.37,8.3,3.06,0-18,Male,352148,81.6,0.57,3.55,Surgery,22303.0,Yes,69.18,651.0,5.06,3103.0,0.71,55.19 +87941,France,2010,COVID-19,Neurological,11.36,6.68,2.52,19-35,Other,873163,85.33,3.61,5.83,Therapy,16986.0,No,50.04,41.0,1.21,37160.0,0.52,36.07 +87946,Saudi Arabia,2002,Malaria,Genetic,17.58,14.69,0.42,19-35,Male,59105,74.23,1.15,5.65,Vaccination,24044.0,No,76.6,3920.0,8.31,82100.0,0.86,43.28 +87953,Mexico,2003,Hypertension,Genetic,7.54,8.95,5.07,19-35,Other,356925,62.11,3.72,2.33,Medication,25839.0,Yes,61.72,975.0,5.31,45066.0,0.82,55.83 +87971,Germany,2005,Diabetes,Respiratory,8.55,7.43,0.34,36-60,Male,241610,88.12,2.54,3.21,Therapy,47163.0,Yes,75.41,2899.0,0.26,70034.0,0.55,84.73 +87977,Argentina,2009,Parkinson's Disease,Chronic,6.83,12.07,7.37,19-35,Female,689558,85.72,2.48,0.82,Vaccination,24962.0,Yes,56.94,3167.0,2.66,49133.0,0.53,47.08 +87981,UK,2015,Dengue,Autoimmune,17.84,7.41,9.55,61+,Male,406005,52.61,4.06,6.74,Therapy,5629.0,Yes,54.17,1568.0,3.86,87061.0,0.79,69.0 +87984,Canada,2009,COVID-19,Autoimmune,6.78,14.41,6.18,0-18,Female,627286,92.63,1.31,0.83,Therapy,3517.0,No,96.85,4728.0,3.57,71420.0,0.6,53.29 +87989,Brazil,2019,COVID-19,Respiratory,19.68,1.49,5.12,19-35,Other,192957,72.03,2.61,6.49,Medication,46025.0,No,80.28,3361.0,2.58,89219.0,0.45,36.63 +87995,Russia,2020,Polio,Infectious,1.11,0.7,5.02,61+,Other,84294,62.51,1.16,0.59,Vaccination,22273.0,No,86.08,1951.0,2.24,96851.0,0.46,45.79 +87998,South Africa,2020,Cancer,Parasitic,7.51,14.04,2.31,36-60,Other,134728,60.87,2.5,5.28,Surgery,2751.0,No,72.16,2527.0,2.81,9218.0,0.49,47.8 +88000,UK,2016,Malaria,Respiratory,14.67,3.45,0.31,61+,Male,473290,83.09,1.35,1.99,Medication,509.0,No,96.16,1304.0,9.97,22783.0,0.6,29.82 +88007,USA,2003,HIV/AIDS,Chronic,13.04,7.37,5.56,0-18,Female,167548,62.09,3.13,6.83,Vaccination,36466.0,Yes,94.52,418.0,5.95,49001.0,0.7,32.95 +88010,Saudi Arabia,2012,Cholera,Respiratory,18.02,13.4,2.7,61+,Male,36384,69.37,2.54,4.83,Therapy,11898.0,No,75.15,2028.0,4.67,64120.0,0.53,59.2 +88013,Saudi Arabia,2016,Dengue,Viral,13.36,11.65,5.68,36-60,Male,874843,86.49,4.36,7.62,Surgery,42392.0,No,56.76,4253.0,7.48,12377.0,0.42,80.45 +88014,UK,2017,Influenza,Neurological,13.69,11.27,4.7,19-35,Other,142342,99.95,4.51,9.98,Therapy,46193.0,Yes,86.7,3341.0,4.01,32509.0,0.56,24.25 +88022,China,2002,Malaria,Autoimmune,4.0,12.18,1.44,0-18,Other,980720,50.06,1.83,9.67,Medication,46158.0,Yes,83.06,638.0,3.87,89894.0,0.82,89.55 +88024,Canada,2002,Polio,Cardiovascular,1.37,10.88,2.41,19-35,Female,249503,99.14,3.2,2.24,Vaccination,15052.0,No,79.09,3966.0,5.55,21440.0,0.6,83.54 +88025,Nigeria,2000,Cancer,Infectious,16.4,7.05,4.43,36-60,Male,627246,96.03,4.87,2.43,Surgery,40540.0,Yes,50.61,3688.0,5.16,80118.0,0.53,84.15 +88026,Saudi Arabia,2007,Dengue,Respiratory,2.16,2.72,7.88,19-35,Other,47682,92.76,4.35,7.56,Surgery,40328.0,Yes,52.96,1190.0,1.11,72143.0,0.44,86.85 +88032,UK,2018,Ebola,Metabolic,2.11,4.76,0.97,0-18,Other,879938,94.86,4.4,3.89,Therapy,14902.0,No,73.26,975.0,5.8,81900.0,0.89,29.07 +88034,Russia,2023,Dengue,Bacterial,17.51,5.89,1.06,61+,Other,680850,85.81,1.09,1.41,Vaccination,47546.0,No,90.64,2845.0,6.35,13396.0,0.51,36.05 +88038,Brazil,2006,Asthma,Neurological,11.65,13.93,8.31,61+,Male,259388,91.96,4.7,6.81,Vaccination,2008.0,No,52.92,2528.0,3.53,85745.0,0.7,55.28 +88041,Japan,2010,Leprosy,Infectious,14.49,8.51,0.75,36-60,Male,948612,97.64,3.0,9.93,Medication,43469.0,Yes,92.67,3949.0,2.23,9473.0,0.5,35.95 +88042,Nigeria,2008,Asthma,Neurological,16.93,3.13,5.58,61+,Other,73628,77.89,3.06,8.26,Surgery,10982.0,Yes,94.42,1279.0,0.89,62027.0,0.46,54.42 +88043,South Korea,2024,Malaria,Parasitic,8.5,4.33,1.09,0-18,Other,457038,60.97,4.89,2.47,Surgery,44389.0,Yes,56.21,4587.0,0.34,59679.0,0.6,38.19 +88045,Germany,2021,COVID-19,Bacterial,7.61,2.24,3.28,36-60,Male,293255,56.02,0.87,9.27,Medication,324.0,Yes,56.96,1974.0,5.06,48558.0,0.51,74.07 +88049,Australia,2014,Rabies,Metabolic,6.12,13.48,6.87,61+,Male,808182,60.56,2.72,5.27,Therapy,3540.0,Yes,77.77,2440.0,6.59,691.0,0.82,28.29 +88053,South Africa,2013,Polio,Bacterial,4.82,8.53,2.27,61+,Female,420277,54.64,4.81,1.89,Therapy,37126.0,No,51.73,385.0,0.55,14382.0,0.81,73.32 +88062,Saudi Arabia,2002,Hypertension,Chronic,6.27,10.76,1.69,61+,Other,183534,88.85,2.58,0.87,Therapy,32892.0,Yes,51.79,3980.0,1.78,62629.0,0.43,41.8 +88064,UK,2020,HIV/AIDS,Parasitic,13.57,7.64,1.84,61+,Other,352390,61.74,4.98,0.96,Medication,22597.0,Yes,85.27,2222.0,0.47,85059.0,0.88,54.47 +88067,Indonesia,2005,Zika,Viral,13.96,7.39,4.76,36-60,Male,913613,66.14,4.37,8.37,Therapy,37238.0,Yes,71.06,1207.0,6.98,40085.0,0.52,53.15 +88068,Saudi Arabia,2008,Cholera,Infectious,8.72,5.38,6.35,19-35,Female,141184,81.2,1.13,5.71,Surgery,38556.0,No,88.26,3030.0,6.02,45853.0,0.64,74.14 +88069,Russia,2016,Measles,Cardiovascular,11.69,1.38,8.34,61+,Female,802938,71.18,2.65,6.29,Surgery,42469.0,Yes,78.41,3805.0,1.47,32802.0,0.47,54.93 +88072,India,2011,Dengue,Neurological,4.66,2.53,3.0,0-18,Female,460280,55.86,2.35,3.52,Vaccination,17649.0,No,95.36,953.0,7.94,67385.0,0.69,75.96 +88074,Indonesia,2002,Malaria,Genetic,15.48,3.95,0.14,61+,Female,936944,52.21,1.26,2.81,Vaccination,30115.0,No,72.68,8.0,6.12,24531.0,0.81,23.89 +88077,South Africa,2009,Hypertension,Cardiovascular,9.89,7.66,6.55,19-35,Female,518142,97.3,0.67,2.16,Surgery,9585.0,Yes,95.58,1833.0,9.89,14541.0,0.86,78.13 +88078,France,2010,Cancer,Bacterial,11.11,1.26,7.36,61+,Other,325746,50.79,1.77,2.27,Therapy,2155.0,No,50.16,848.0,1.45,49918.0,0.71,35.67 +88082,Russia,2013,Cholera,Metabolic,9.88,13.98,2.68,36-60,Female,873151,87.76,4.75,9.92,Surgery,10750.0,Yes,71.67,2170.0,5.63,74692.0,0.79,24.55 +88085,South Korea,2000,Influenza,Parasitic,3.62,2.61,0.94,61+,Other,799622,62.09,2.49,9.73,Surgery,45171.0,Yes,90.57,4177.0,4.72,77503.0,0.46,65.22 +88088,Argentina,2008,Leprosy,Parasitic,3.69,7.8,3.52,36-60,Other,145967,89.34,0.55,1.37,Medication,48197.0,No,97.17,2974.0,2.45,63208.0,0.41,57.29 +88090,Argentina,2005,Asthma,Chronic,16.48,6.59,5.21,0-18,Other,268027,60.59,1.47,8.62,Therapy,9681.0,Yes,96.04,2727.0,3.19,20015.0,0.86,81.26 +88092,South Korea,2005,HIV/AIDS,Respiratory,12.74,4.3,9.79,61+,Other,929669,89.72,4.12,2.02,Therapy,6359.0,Yes,98.0,1712.0,8.11,16991.0,0.71,52.44 +88104,Saudi Arabia,2009,Asthma,Neurological,15.63,1.86,2.66,61+,Other,404049,94.95,1.51,6.9,Therapy,13533.0,No,51.18,2344.0,8.57,6025.0,0.46,32.39 +88106,Canada,2012,Cholera,Respiratory,0.63,12.6,4.65,61+,Other,378706,81.98,1.46,9.25,Therapy,46670.0,Yes,62.57,1260.0,9.39,1992.0,0.62,26.27 +88112,Canada,2002,Rabies,Respiratory,13.76,7.96,5.68,19-35,Male,683487,84.81,2.96,6.54,Vaccination,33289.0,Yes,63.71,1221.0,8.4,15718.0,0.68,32.03 +88120,Turkey,2005,Measles,Respiratory,2.75,14.01,6.44,61+,Other,182667,83.79,3.32,3.16,Medication,11445.0,Yes,64.9,4355.0,3.22,70517.0,0.68,22.97 +88129,USA,2016,COVID-19,Neurological,17.19,6.94,7.16,61+,Male,305222,62.27,0.78,3.7,Surgery,12690.0,No,72.88,1587.0,4.12,59869.0,0.89,40.33 +88133,Saudi Arabia,2001,Parkinson's Disease,Cardiovascular,8.6,5.0,3.92,0-18,Other,148462,93.05,3.19,9.24,Vaccination,35610.0,Yes,81.23,97.0,6.24,89236.0,0.49,31.89 +88136,USA,2021,Zika,Autoimmune,12.37,9.63,6.84,0-18,Female,763241,89.75,3.43,0.88,Therapy,42657.0,No,53.97,3641.0,1.36,87858.0,0.71,53.44 +88138,Australia,2010,Hypertension,Parasitic,18.83,11.27,7.88,36-60,Other,231582,96.9,2.25,4.69,Surgery,28139.0,Yes,62.1,1848.0,0.5,15978.0,0.62,64.24 +88140,Saudi Arabia,2016,COVID-19,Genetic,17.5,11.1,3.69,61+,Female,643626,88.94,1.15,1.59,Therapy,1915.0,No,64.29,4752.0,8.13,32495.0,0.76,40.9 +88146,India,2009,COVID-19,Autoimmune,9.02,14.04,5.7,36-60,Male,719801,83.51,1.32,8.38,Therapy,47484.0,Yes,84.08,3696.0,2.71,76145.0,0.63,80.98 +88148,Nigeria,2014,Influenza,Neurological,6.46,12.61,8.7,19-35,Female,601504,66.39,4.6,8.26,Vaccination,2074.0,Yes,77.33,2788.0,4.32,83764.0,0.57,60.43 +88153,USA,2017,Measles,Chronic,16.54,10.57,4.48,36-60,Female,913549,94.92,4.73,8.19,Medication,47387.0,Yes,87.3,198.0,2.84,85433.0,0.54,29.92 +88156,Japan,2023,Alzheimer's Disease,Respiratory,7.71,11.73,7.6,61+,Male,567096,87.9,4.78,1.31,Therapy,5482.0,No,72.86,1129.0,1.46,60144.0,0.71,37.36 +88160,China,2015,Rabies,Bacterial,19.79,9.19,0.23,36-60,Other,926863,83.06,3.18,6.47,Surgery,36210.0,Yes,95.59,3360.0,7.99,44269.0,0.45,51.11 +88162,Indonesia,2008,Zika,Cardiovascular,5.13,9.73,2.54,0-18,Female,51973,99.12,3.77,1.64,Therapy,22610.0,No,89.56,1385.0,5.34,56734.0,0.48,76.65 +88173,Russia,2019,Ebola,Autoimmune,10.42,6.52,4.62,0-18,Female,729836,87.66,1.45,6.3,Surgery,24751.0,Yes,90.17,508.0,5.6,19853.0,0.66,23.43 +88174,Italy,2017,Dengue,Infectious,10.83,6.09,5.73,36-60,Male,601693,88.16,2.08,7.45,Medication,6177.0,No,57.39,3933.0,7.98,89778.0,0.52,52.69 +88176,China,2019,COVID-19,Viral,18.15,2.81,3.91,61+,Other,667932,99.29,4.28,9.13,Therapy,4057.0,No,90.87,4216.0,6.06,80211.0,0.54,47.79 +88180,UK,2002,Zika,Autoimmune,5.74,3.91,2.55,0-18,Other,387676,65.07,0.88,8.19,Vaccination,29691.0,No,79.41,914.0,7.58,57170.0,0.55,33.83 +88182,Canada,2002,Dengue,Cardiovascular,15.14,1.49,5.87,0-18,Female,996982,92.49,3.03,9.24,Therapy,26475.0,No,83.31,4019.0,7.27,92799.0,0.63,40.3 +88185,France,2008,Hypertension,Bacterial,17.3,9.65,7.76,36-60,Male,827120,55.01,0.75,2.87,Therapy,30378.0,No,91.06,4949.0,2.3,33961.0,0.73,23.53 +88188,Canada,2024,Alzheimer's Disease,Respiratory,10.24,5.79,4.56,61+,Female,385991,69.71,3.12,2.97,Vaccination,37261.0,No,97.67,4242.0,4.32,77825.0,0.71,36.04 +88190,China,2014,Influenza,Cardiovascular,11.56,9.31,3.51,36-60,Other,490489,85.83,2.85,5.78,Therapy,48765.0,Yes,57.33,1804.0,0.87,18537.0,0.43,44.91 +88204,Brazil,2011,Hepatitis,Autoimmune,5.08,1.25,1.6,0-18,Male,969153,80.71,1.11,6.33,Vaccination,10022.0,Yes,78.05,572.0,9.73,51714.0,0.43,61.83 +88206,Indonesia,2014,Rabies,Cardiovascular,2.14,2.29,8.04,19-35,Female,996299,58.08,0.66,8.6,Surgery,21210.0,Yes,53.72,4062.0,4.08,79243.0,0.58,41.08 +88218,Nigeria,2016,Cholera,Chronic,18.52,6.75,1.81,36-60,Female,798355,83.37,3.76,6.07,Medication,38444.0,Yes,88.22,1159.0,6.46,30279.0,0.51,82.37 +88221,Argentina,2012,Asthma,Metabolic,5.4,2.41,5.14,0-18,Male,319225,88.81,2.86,9.08,Therapy,42490.0,No,67.24,3051.0,3.57,67268.0,0.67,33.06 +88227,Italy,2011,Parkinson's Disease,Genetic,4.82,9.81,3.12,19-35,Other,636703,94.6,2.92,3.33,Medication,45047.0,Yes,55.56,596.0,4.18,32887.0,0.59,29.57 +88230,UK,2000,Rabies,Metabolic,7.64,9.42,2.12,19-35,Male,379532,92.51,1.35,9.48,Vaccination,29224.0,Yes,76.69,1361.0,1.91,65629.0,0.76,39.32 +88232,Turkey,2004,Influenza,Neurological,19.58,0.59,4.9,36-60,Female,579691,97.04,1.53,6.06,Vaccination,15546.0,No,57.21,4175.0,9.53,3529.0,0.82,83.43 +88237,Mexico,2012,Dengue,Chronic,10.82,12.38,1.97,19-35,Female,745683,65.61,0.72,4.92,Medication,35205.0,No,51.61,3365.0,5.18,97412.0,0.79,83.15 +88238,Italy,2000,Leprosy,Neurological,4.56,1.02,8.0,61+,Female,967045,59.92,4.59,5.37,Vaccination,44262.0,No,83.86,605.0,9.0,78843.0,0.5,51.47 +88241,Australia,2024,Alzheimer's Disease,Neurological,10.85,9.09,9.27,0-18,Other,511206,63.02,4.08,6.76,Vaccination,22069.0,No,97.56,3441.0,9.72,71095.0,0.47,37.3 +88242,Brazil,2005,Asthma,Respiratory,3.05,5.82,9.49,61+,Female,712083,90.62,1.16,7.73,Surgery,40372.0,Yes,64.43,2953.0,5.77,20479.0,0.68,59.2 +88246,Germany,2011,Diabetes,Viral,15.13,1.94,1.46,0-18,Female,159777,83.95,2.21,6.77,Surgery,890.0,Yes,76.95,3888.0,2.91,93197.0,0.77,31.06 +88250,Mexico,2024,Rabies,Respiratory,0.77,0.62,1.44,36-60,Other,517941,58.96,4.37,4.84,Therapy,36578.0,Yes,76.83,1147.0,8.35,30429.0,0.65,52.05 +88251,Saudi Arabia,2008,Dengue,Cardiovascular,17.37,9.92,3.02,61+,Female,131071,66.96,2.29,9.56,Therapy,8960.0,Yes,62.28,2334.0,4.07,14814.0,0.56,27.95 +88255,Brazil,2023,Rabies,Bacterial,14.1,5.56,7.94,61+,Female,875090,70.81,4.43,6.45,Therapy,4535.0,No,64.6,411.0,4.79,6794.0,0.75,49.35 +88256,UK,2017,Dengue,Respiratory,2.77,3.95,5.79,36-60,Male,1198,94.44,3.9,5.54,Vaccination,7724.0,Yes,67.95,2298.0,5.16,53395.0,0.89,77.78 +88264,UK,2018,Parkinson's Disease,Parasitic,0.32,9.26,9.82,0-18,Female,648129,52.08,1.43,2.08,Vaccination,23264.0,Yes,55.9,4304.0,4.44,36205.0,0.78,59.0 +88272,Turkey,2008,Dengue,Chronic,5.99,2.66,1.51,19-35,Other,299163,98.33,3.34,2.44,Medication,46364.0,No,51.18,2048.0,2.38,78303.0,0.75,28.15 +88277,Italy,2015,Cholera,Neurological,0.45,2.94,3.17,0-18,Other,893846,60.21,4.57,8.7,Surgery,13000.0,Yes,81.14,1158.0,7.5,6740.0,0.45,59.42 +88286,South Korea,2016,Measles,Metabolic,18.26,7.59,3.44,0-18,Other,103314,64.25,4.55,3.09,Medication,16107.0,No,79.8,4964.0,7.61,18943.0,0.57,65.99 +88289,Canada,2000,Zika,Parasitic,16.77,3.65,0.49,61+,Female,667857,96.64,2.83,4.78,Medication,44444.0,No,71.16,1277.0,8.48,6594.0,0.41,87.72 +88290,Saudi Arabia,2004,Tuberculosis,Parasitic,12.6,4.15,1.06,36-60,Other,892214,86.75,2.62,2.08,Surgery,12003.0,No,51.92,3259.0,3.79,52139.0,0.42,85.47 +88295,UK,2020,COVID-19,Parasitic,9.25,7.82,1.73,0-18,Male,822567,51.65,4.31,5.85,Surgery,40290.0,No,51.53,4607.0,6.69,89830.0,0.48,73.27 +88297,Mexico,2002,Alzheimer's Disease,Autoimmune,18.56,4.28,9.12,0-18,Female,305454,93.18,4.01,9.25,Therapy,21069.0,No,84.33,1562.0,9.47,26863.0,0.81,85.46 +88299,Australia,2018,Measles,Respiratory,10.66,4.62,8.69,36-60,Female,357992,89.81,3.98,6.02,Therapy,30441.0,Yes,95.22,4008.0,4.04,28824.0,0.59,43.43 +88302,South Africa,2023,Leprosy,Bacterial,9.52,5.55,7.45,0-18,Male,139077,63.46,2.05,8.13,Surgery,9237.0,Yes,95.96,360.0,2.88,51010.0,0.61,80.11 +88306,Russia,2001,Alzheimer's Disease,Viral,18.9,2.58,8.95,0-18,Other,565773,97.98,2.72,6.9,Surgery,2339.0,No,86.87,408.0,8.1,35845.0,0.48,44.88 +88311,South Korea,2023,Rabies,Infectious,5.13,5.59,8.71,36-60,Other,681963,52.89,3.58,5.64,Surgery,11471.0,Yes,78.35,1910.0,5.65,88324.0,0.86,78.4 +88318,Saudi Arabia,2019,Diabetes,Metabolic,11.29,2.83,6.81,19-35,Male,832209,75.35,3.76,7.65,Therapy,5743.0,Yes,70.11,675.0,0.86,51455.0,0.43,77.72 +88319,UK,2001,Hypertension,Chronic,9.22,3.5,2.45,61+,Other,513298,61.63,3.05,5.52,Medication,42771.0,No,91.29,4131.0,0.5,4148.0,0.53,69.65 +88324,South Korea,2021,Ebola,Metabolic,3.83,13.54,9.37,36-60,Male,220576,64.19,2.13,5.55,Therapy,40150.0,Yes,81.88,769.0,5.34,52641.0,0.63,65.11 +88326,Italy,2014,COVID-19,Respiratory,3.55,6.92,7.03,19-35,Other,214422,87.95,1.65,5.29,Medication,24467.0,Yes,82.87,3237.0,7.96,22249.0,0.67,56.49 +88329,Russia,2019,Polio,Viral,7.56,8.33,0.19,61+,Other,395009,95.14,4.73,5.58,Vaccination,14424.0,No,88.21,3648.0,3.3,24948.0,0.5,29.75 +88334,Canada,2004,Hypertension,Chronic,17.25,0.91,2.6,19-35,Female,489527,86.78,3.45,3.65,Medication,3839.0,Yes,95.51,3617.0,8.8,61629.0,0.68,27.06 +88337,South Korea,2020,Rabies,Bacterial,18.88,2.46,4.05,19-35,Female,992748,81.25,1.69,3.29,Medication,27617.0,No,57.98,2323.0,9.6,79083.0,0.72,56.29 +88344,USA,2002,Rabies,Metabolic,7.57,14.48,9.55,61+,Other,139323,78.18,3.21,9.47,Surgery,42491.0,No,98.32,957.0,0.79,93776.0,0.42,20.24 +88359,Argentina,2001,Dengue,Infectious,1.05,6.32,1.84,19-35,Female,687722,53.37,2.29,3.0,Surgery,39250.0,No,87.68,5000.0,0.98,76995.0,0.57,55.4 +88365,Germany,2016,Rabies,Neurological,4.29,9.19,4.71,36-60,Male,283184,79.29,0.67,2.79,Surgery,15667.0,Yes,66.5,4908.0,4.96,72301.0,0.61,40.45 +88366,Russia,2006,Parkinson's Disease,Autoimmune,12.28,8.56,4.76,36-60,Male,217797,75.65,4.15,7.45,Surgery,29223.0,Yes,54.12,459.0,5.8,80451.0,0.62,37.75 +88389,India,2008,Zika,Parasitic,15.97,11.46,9.55,61+,Female,615993,89.78,1.68,0.51,Vaccination,22571.0,Yes,61.68,4548.0,8.37,3955.0,0.75,29.6 +88391,Argentina,2012,Malaria,Metabolic,2.94,13.82,4.0,0-18,Other,611856,98.32,3.29,8.42,Surgery,27415.0,No,77.55,3460.0,2.17,30694.0,0.85,37.66 +88392,Saudi Arabia,2011,Tuberculosis,Autoimmune,8.18,3.59,7.46,0-18,Female,896719,59.87,3.06,1.3,Therapy,37724.0,No,79.84,4019.0,7.87,35098.0,0.43,48.13 +88407,Saudi Arabia,2004,Leprosy,Autoimmune,18.63,6.35,4.42,61+,Male,121363,74.4,3.29,1.66,Surgery,22065.0,No,76.69,127.0,2.68,92482.0,0.83,30.97 +88410,Germany,2019,Hepatitis,Parasitic,9.49,5.0,0.67,36-60,Female,936351,55.43,1.66,3.62,Vaccination,4760.0,No,56.57,614.0,2.38,56037.0,0.64,78.76 +88413,USA,2001,Tuberculosis,Bacterial,5.33,6.04,4.38,36-60,Female,704120,76.47,2.59,2.68,Therapy,18478.0,Yes,57.86,2166.0,2.63,13112.0,0.81,31.34 +88414,Australia,2014,Asthma,Chronic,6.81,8.99,5.53,19-35,Other,901887,59.17,1.91,6.19,Surgery,10691.0,Yes,89.63,4399.0,5.46,75538.0,0.88,28.62 +88422,Mexico,2005,Polio,Chronic,12.18,5.57,0.34,61+,Other,265780,63.02,4.23,5.88,Therapy,19592.0,Yes,95.98,2803.0,6.79,60895.0,0.44,82.37 +88424,Turkey,2022,Parkinson's Disease,Respiratory,3.25,6.16,7.85,0-18,Male,747982,98.56,1.59,6.4,Vaccination,18373.0,No,79.83,4176.0,1.22,26880.0,0.78,80.85 +88426,Brazil,2003,Zika,Parasitic,19.09,6.24,2.2,19-35,Other,918272,89.16,1.39,5.29,Surgery,21430.0,No,50.08,1766.0,4.67,69522.0,0.54,25.37 +88428,Mexico,2002,Asthma,Respiratory,19.73,5.29,9.19,19-35,Male,719136,65.98,1.65,8.81,Medication,27402.0,Yes,96.66,3982.0,3.05,44498.0,0.75,88.38 +88436,Saudi Arabia,2004,Parkinson's Disease,Chronic,13.63,3.94,3.84,36-60,Other,130060,82.63,2.63,5.21,Therapy,5829.0,No,55.54,433.0,7.64,13891.0,0.67,55.65 +88446,China,2013,Dengue,Autoimmune,3.94,3.08,2.27,0-18,Male,835954,55.45,2.64,9.1,Therapy,2395.0,Yes,61.33,2037.0,2.77,25566.0,0.55,45.69 +88448,Italy,2006,Alzheimer's Disease,Metabolic,6.61,11.67,2.71,0-18,Female,683196,56.46,2.6,4.09,Medication,41478.0,Yes,59.63,4485.0,7.48,92594.0,0.84,23.28 +88451,France,2009,Hypertension,Metabolic,7.17,0.46,5.75,19-35,Female,27778,93.9,1.25,2.39,Medication,23602.0,No,98.14,4765.0,5.02,59714.0,0.75,37.19 +88455,Italy,2019,Influenza,Parasitic,2.66,4.89,2.07,36-60,Male,422320,80.63,1.98,2.91,Medication,3805.0,Yes,76.95,3891.0,7.03,34872.0,0.85,40.99 +88456,USA,2001,Asthma,Autoimmune,17.99,6.69,6.68,36-60,Male,999084,66.81,1.58,3.58,Medication,17632.0,No,96.71,1595.0,8.39,60502.0,0.79,58.39 +88457,UK,2016,Zika,Cardiovascular,0.32,9.2,8.05,61+,Other,702842,80.51,1.85,5.79,Medication,36127.0,No,61.98,3625.0,4.61,44102.0,0.54,71.47 +88473,Japan,2012,HIV/AIDS,Parasitic,4.86,9.46,4.93,36-60,Female,273186,85.0,4.53,3.86,Vaccination,16884.0,Yes,78.02,1186.0,7.76,85657.0,0.4,78.52 +88474,Japan,2022,Dengue,Parasitic,1.7,14.83,3.94,36-60,Male,480260,99.28,4.39,1.32,Surgery,35630.0,No,74.11,4735.0,5.74,26531.0,0.42,33.66 +88478,France,2005,Polio,Bacterial,14.57,9.2,4.19,36-60,Female,439037,88.52,1.45,9.76,Vaccination,33960.0,Yes,86.8,1293.0,0.66,41719.0,0.62,37.69 +88482,Indonesia,2002,Diabetes,Metabolic,10.48,7.79,1.31,0-18,Female,409998,52.82,3.06,4.2,Vaccination,6068.0,No,86.8,3745.0,9.16,48075.0,0.74,79.52 +88488,Russia,2022,Dengue,Cardiovascular,2.85,7.77,1.29,61+,Male,903774,58.39,3.85,7.31,Vaccination,34043.0,No,52.67,2690.0,0.95,41342.0,0.88,75.51 +88493,China,2010,COVID-19,Bacterial,8.43,9.25,9.43,61+,Male,302553,50.81,1.17,8.16,Therapy,2382.0,No,93.6,4746.0,0.79,85005.0,0.84,47.68 +88496,Australia,2005,Cholera,Parasitic,7.36,14.87,8.12,19-35,Female,274330,94.66,0.82,7.27,Medication,6046.0,No,66.04,2691.0,6.84,52960.0,0.44,83.38 +88503,India,2001,Diabetes,Metabolic,8.36,0.46,4.98,19-35,Other,649475,74.2,1.75,0.67,Therapy,33574.0,No,75.13,2991.0,4.66,64327.0,0.79,66.32 +88512,France,2011,Parkinson's Disease,Parasitic,2.75,1.39,5.06,19-35,Other,481135,60.94,3.99,7.66,Vaccination,16563.0,No,92.58,2610.0,9.18,45772.0,0.74,34.73 +88515,South Korea,2022,Ebola,Chronic,18.42,4.11,4.21,19-35,Male,939915,58.05,2.36,7.26,Surgery,39168.0,No,71.22,4977.0,2.6,20659.0,0.65,55.55 +88517,Germany,2006,Asthma,Bacterial,11.89,11.76,5.49,0-18,Male,465346,96.13,3.82,0.89,Therapy,24896.0,Yes,50.85,2124.0,2.78,26568.0,0.85,23.28 +88520,South Korea,2015,Cholera,Chronic,12.62,14.83,3.28,0-18,Male,966958,60.95,2.72,5.62,Therapy,2696.0,No,64.63,4180.0,2.77,65626.0,0.45,24.9 +88521,Indonesia,2000,Influenza,Bacterial,14.69,0.64,5.12,19-35,Other,663268,55.29,3.01,5.24,Medication,24116.0,Yes,50.91,3418.0,7.96,94147.0,0.64,66.62 +88529,Canada,2016,Tuberculosis,Viral,13.85,5.9,6.48,61+,Other,239561,96.88,2.07,8.43,Vaccination,43673.0,No,58.26,3633.0,9.67,38373.0,0.6,32.24 +88532,Mexico,2016,Measles,Infectious,4.04,1.38,8.58,0-18,Female,300252,84.89,3.24,1.13,Surgery,35955.0,No,81.36,2108.0,4.4,40049.0,0.45,81.09 +88534,Argentina,2013,Measles,Metabolic,1.3,13.36,6.88,0-18,Female,793085,73.17,1.29,2.68,Medication,35201.0,No,82.0,1197.0,1.57,57648.0,0.8,31.13 +88535,China,2008,COVID-19,Respiratory,3.93,0.67,2.79,61+,Other,927725,88.95,2.37,5.97,Vaccination,12258.0,No,90.27,2447.0,6.66,55775.0,0.44,58.39 +88539,Canada,2009,Hepatitis,Respiratory,0.95,6.31,7.6,19-35,Female,299219,82.13,4.08,7.2,Vaccination,27187.0,No,67.27,2219.0,7.59,33049.0,0.42,47.75 +88542,Italy,2018,Asthma,Chronic,1.78,7.03,1.4,61+,Male,345866,82.77,4.6,3.3,Surgery,7053.0,Yes,59.05,2465.0,1.17,97272.0,0.89,84.17 +88546,Mexico,2003,Ebola,Genetic,14.17,8.02,6.27,61+,Female,778025,99.8,0.7,1.4,Vaccination,23846.0,Yes,80.6,2131.0,0.6,26869.0,0.83,59.5 +88550,USA,2022,Dengue,Neurological,15.06,4.56,8.65,0-18,Female,442843,55.71,1.97,6.42,Surgery,49298.0,No,70.81,4748.0,7.93,83552.0,0.88,61.01 +88553,Australia,2009,COVID-19,Viral,8.53,7.71,5.35,0-18,Other,185349,58.12,3.94,5.3,Vaccination,42967.0,Yes,51.62,2680.0,6.31,53863.0,0.88,55.63 +88554,South Korea,2009,Zika,Bacterial,4.18,1.07,0.87,36-60,Other,767478,75.93,4.23,2.65,Therapy,11290.0,No,50.05,4106.0,8.81,77113.0,0.51,49.08 +88564,Germany,2006,Rabies,Genetic,18.61,1.58,0.81,19-35,Male,585571,61.4,3.56,3.22,Medication,2442.0,No,98.02,1225.0,1.53,25112.0,0.47,76.5 +88574,Nigeria,2001,Influenza,Neurological,17.48,1.34,6.05,0-18,Other,657380,94.16,4.27,1.5,Therapy,7611.0,No,60.65,955.0,8.83,22848.0,0.84,53.42 +88576,South Africa,2024,Influenza,Autoimmune,14.14,13.19,0.31,61+,Other,212855,56.63,0.82,7.35,Vaccination,4944.0,No,79.59,4338.0,3.21,24218.0,0.88,59.93 +88579,Mexico,2014,Hepatitis,Bacterial,17.52,12.79,2.23,61+,Male,135707,51.8,0.59,9.45,Therapy,39738.0,No,67.77,2010.0,9.44,85495.0,0.42,86.21 +88581,India,2005,Alzheimer's Disease,Viral,18.44,9.55,1.83,19-35,Other,710936,64.99,0.98,5.95,Therapy,43448.0,Yes,71.71,4817.0,5.92,39086.0,0.62,54.26 +88591,Indonesia,2017,Cholera,Viral,6.97,10.79,1.92,61+,Female,160092,51.93,2.36,0.56,Therapy,23311.0,Yes,54.66,574.0,4.47,92416.0,0.87,81.47 +88592,Canada,2007,Tuberculosis,Parasitic,19.85,5.74,1.82,61+,Male,408428,99.14,2.44,3.84,Vaccination,36115.0,No,61.16,4257.0,3.69,48675.0,0.47,77.53 +88594,India,2014,Dengue,Genetic,17.01,5.07,4.93,61+,Female,429236,86.87,2.78,8.97,Surgery,35623.0,Yes,74.83,3207.0,1.02,83540.0,0.58,24.23 +88608,Japan,2001,Ebola,Respiratory,10.63,6.56,3.37,0-18,Other,570621,62.65,4.48,1.2,Medication,46110.0,No,63.88,587.0,6.49,39098.0,0.78,39.37 +88610,Nigeria,2002,HIV/AIDS,Genetic,17.34,1.92,3.24,19-35,Female,980922,77.86,4.17,5.39,Vaccination,48378.0,Yes,65.64,1634.0,5.09,61992.0,0.63,60.4 +88614,Brazil,2003,Cholera,Viral,3.07,4.72,2.97,36-60,Other,528984,77.74,2.73,1.56,Vaccination,47036.0,Yes,93.06,3163.0,3.2,99465.0,0.82,52.82 +88641,South Africa,2015,Hypertension,Parasitic,14.41,4.51,4.03,61+,Female,187467,79.12,1.63,6.47,Vaccination,12097.0,Yes,87.2,3726.0,4.83,82157.0,0.51,83.86 +88644,South Africa,2008,COVID-19,Cardiovascular,15.11,11.89,3.83,36-60,Female,991691,70.8,1.88,4.96,Surgery,6620.0,Yes,55.7,1000.0,5.85,79061.0,0.55,57.17 +88646,Russia,2015,HIV/AIDS,Bacterial,9.83,11.05,0.33,19-35,Other,822520,84.61,2.26,5.22,Surgery,5193.0,No,92.47,2043.0,1.84,29410.0,0.43,83.29 +88650,China,2008,Alzheimer's Disease,Viral,7.4,1.49,9.85,19-35,Other,193055,53.4,4.28,5.93,Medication,3121.0,No,93.02,117.0,3.05,77217.0,0.77,89.82 +88657,USA,2004,Parkinson's Disease,Infectious,7.75,4.16,0.59,0-18,Other,533391,96.26,3.37,1.85,Medication,19047.0,No,79.82,1832.0,1.27,8123.0,0.42,38.92 +88660,Italy,2000,Dengue,Parasitic,17.16,0.97,9.55,0-18,Female,480384,55.39,1.19,6.1,Vaccination,9244.0,Yes,65.95,342.0,6.15,93341.0,0.76,25.65 +88663,China,2000,Zika,Autoimmune,16.25,13.19,8.95,0-18,Female,884174,70.59,4.3,4.67,Medication,38074.0,No,76.31,4218.0,7.27,96198.0,0.74,31.84 +88667,Italy,2024,Ebola,Bacterial,13.1,0.8,2.47,19-35,Female,602199,57.4,4.89,9.59,Surgery,28840.0,No,98.97,2879.0,1.01,59835.0,0.58,82.61 +88669,Australia,2021,Rabies,Cardiovascular,7.07,5.84,9.82,61+,Male,130737,92.8,4.7,4.34,Medication,10770.0,No,65.14,1759.0,5.83,67387.0,0.45,41.12 +88672,Japan,2011,Tuberculosis,Cardiovascular,7.56,5.27,6.77,36-60,Female,268221,66.57,3.25,0.96,Therapy,37641.0,Yes,65.85,4769.0,1.93,28223.0,0.56,46.79 +88679,USA,2010,Hypertension,Neurological,10.81,6.46,8.4,36-60,Other,671482,58.36,4.43,2.66,Medication,8364.0,No,67.64,4802.0,4.41,5600.0,0.72,48.43 +88682,Australia,2009,Hepatitis,Autoimmune,19.53,2.2,2.06,19-35,Female,797015,78.49,2.46,3.07,Therapy,28870.0,No,57.28,1343.0,8.25,52285.0,0.49,60.63 +88689,Indonesia,2017,Leprosy,Bacterial,6.79,13.64,6.41,0-18,Other,900527,53.29,2.17,0.62,Vaccination,32101.0,No,63.08,1212.0,1.48,88093.0,0.64,77.15 +88692,South Africa,2019,Hypertension,Cardiovascular,7.56,14.29,0.71,61+,Male,426043,68.77,1.56,6.94,Vaccination,14711.0,Yes,75.98,2117.0,0.02,98299.0,0.86,73.83 +88700,Brazil,2021,Diabetes,Metabolic,13.39,3.26,3.82,61+,Other,4325,73.24,3.2,3.72,Surgery,24358.0,No,59.83,2128.0,3.37,16921.0,0.77,60.24 +88705,Canada,2021,HIV/AIDS,Neurological,9.59,10.49,0.42,19-35,Female,284407,68.74,2.27,5.11,Medication,32744.0,Yes,58.94,2579.0,7.38,67476.0,0.87,83.89 +88710,China,2023,Tuberculosis,Bacterial,6.84,1.79,0.31,61+,Male,274697,79.75,3.99,3.53,Surgery,28716.0,No,70.33,1889.0,0.54,53272.0,0.45,59.39 +88712,USA,2021,Influenza,Bacterial,12.67,2.37,3.43,61+,Female,624931,99.83,2.04,7.13,Vaccination,34491.0,Yes,95.59,2101.0,4.95,42730.0,0.64,27.12 +88715,Argentina,2021,Leprosy,Cardiovascular,19.04,13.09,9.11,36-60,Other,863367,56.33,1.31,3.51,Surgery,17042.0,No,56.35,604.0,6.24,60160.0,0.76,26.93 +88721,Germany,2016,Malaria,Chronic,13.78,3.91,7.89,0-18,Male,362689,61.94,2.56,0.79,Medication,13376.0,No,77.11,4718.0,1.49,82017.0,0.43,63.75 +88724,Italy,2009,Hypertension,Autoimmune,3.09,4.0,1.86,36-60,Male,38373,57.71,3.06,6.4,Vaccination,12012.0,Yes,87.72,3769.0,4.43,32103.0,0.48,70.84 +88725,Saudi Arabia,2007,Leprosy,Autoimmune,17.25,6.8,6.74,36-60,Male,74688,69.52,0.69,0.51,Vaccination,5407.0,Yes,54.58,1987.0,5.4,84631.0,0.62,84.68 +88728,Indonesia,2003,Parkinson's Disease,Cardiovascular,17.69,7.86,0.85,36-60,Female,664883,51.47,3.27,4.06,Medication,16707.0,No,63.53,2514.0,4.71,64077.0,0.72,56.31 +88740,Turkey,2014,Diabetes,Autoimmune,18.69,1.22,8.94,0-18,Male,165971,53.26,2.07,5.47,Surgery,40745.0,No,65.8,3563.0,8.83,47361.0,0.66,76.98 +88745,Nigeria,2005,Asthma,Chronic,14.44,11.6,2.37,61+,Female,235710,50.73,3.73,4.63,Medication,12348.0,Yes,75.36,2313.0,7.37,17109.0,0.71,67.63 +88757,Argentina,2003,Parkinson's Disease,Chronic,4.34,2.05,2.45,19-35,Other,946547,78.84,0.64,9.87,Medication,37371.0,No,63.96,1146.0,9.65,54892.0,0.77,89.09 +88762,Germany,2014,Influenza,Parasitic,14.66,11.27,9.65,36-60,Female,237413,80.87,1.1,9.6,Surgery,41682.0,No,61.67,3720.0,0.59,78615.0,0.85,50.05 +88775,China,2020,Influenza,Neurological,14.25,5.7,6.36,61+,Other,629043,94.57,1.64,8.97,Surgery,31891.0,No,82.94,2623.0,8.17,65889.0,0.64,78.95 +88776,Brazil,2014,Leprosy,Parasitic,1.07,2.75,1.94,61+,Other,358801,64.79,2.27,8.64,Therapy,4944.0,Yes,60.32,4073.0,0.51,64212.0,0.83,88.18 +88780,Turkey,2024,Cholera,Viral,2.8,3.19,7.33,0-18,Male,130144,68.26,1.89,7.67,Vaccination,25017.0,Yes,70.57,2910.0,8.87,85933.0,0.68,20.44 +88782,Brazil,2005,Diabetes,Viral,7.23,11.21,6.71,0-18,Other,164232,74.88,0.57,0.52,Medication,5820.0,Yes,71.09,3579.0,9.22,87078.0,0.86,38.83 +88799,Argentina,2012,HIV/AIDS,Neurological,15.88,9.54,4.43,61+,Other,379867,88.42,4.97,4.7,Therapy,29070.0,Yes,90.12,1937.0,9.45,49396.0,0.72,67.94 +88802,Indonesia,2007,Cancer,Chronic,1.82,6.85,6.78,0-18,Male,703195,90.75,2.89,7.07,Vaccination,26308.0,No,79.22,2673.0,1.83,59964.0,0.78,24.78 +88811,France,2009,Hypertension,Genetic,8.66,13.69,0.3,0-18,Other,270318,82.87,2.3,6.44,Surgery,30220.0,No,85.92,522.0,6.65,21799.0,0.84,45.69 +88823,Russia,2008,Rabies,Bacterial,6.62,3.94,3.26,0-18,Male,553563,81.96,3.54,5.59,Surgery,17943.0,Yes,79.85,1006.0,6.99,97039.0,0.68,46.06 +88824,Indonesia,2004,Hypertension,Cardiovascular,4.36,3.44,9.19,36-60,Male,861347,75.8,2.0,0.97,Therapy,31222.0,Yes,95.13,4425.0,3.58,77507.0,0.88,84.58 +88825,Indonesia,2019,Polio,Genetic,9.45,0.32,9.19,61+,Female,36173,78.38,3.27,4.33,Surgery,7055.0,No,64.29,2243.0,4.81,76432.0,0.65,84.62 +88826,Canada,2011,Asthma,Metabolic,14.14,0.13,9.09,19-35,Other,616854,69.62,1.71,6.85,Medication,29182.0,Yes,60.41,4967.0,6.77,98500.0,0.76,63.28 +88829,Nigeria,2009,HIV/AIDS,Metabolic,10.26,13.11,8.32,0-18,Other,704146,51.86,0.62,9.04,Vaccination,25209.0,No,92.6,4885.0,3.49,93820.0,0.62,64.02 +88847,Germany,2004,HIV/AIDS,Autoimmune,9.04,6.42,4.91,61+,Male,412641,54.17,4.69,1.49,Therapy,25021.0,No,96.81,2111.0,6.07,77414.0,0.68,21.45 +88848,Saudi Arabia,2010,Measles,Viral,1.12,10.14,2.37,19-35,Male,977320,82.86,1.12,3.57,Medication,39887.0,Yes,88.76,562.0,6.78,80385.0,0.69,74.37 +88856,Japan,2007,Rabies,Metabolic,7.25,9.48,6.37,0-18,Male,476922,50.55,1.12,8.2,Medication,34901.0,No,84.58,2855.0,6.48,38386.0,0.47,53.36 +88875,India,2011,Leprosy,Genetic,5.55,0.26,6.89,19-35,Male,796593,74.55,2.37,9.31,Surgery,48255.0,No,96.13,3017.0,3.56,49434.0,0.42,89.13 +88881,Saudi Arabia,2003,Measles,Bacterial,4.35,8.48,6.87,19-35,Female,493153,71.55,1.67,4.26,Therapy,40202.0,Yes,77.35,3488.0,1.97,39574.0,0.67,47.15 +88886,India,2010,Cholera,Metabolic,11.93,4.49,5.65,36-60,Other,264202,58.17,2.19,8.13,Surgery,20102.0,Yes,68.76,4690.0,8.01,71394.0,0.61,72.56 +88891,Canada,2013,Hepatitis,Cardiovascular,19.42,13.35,3.13,36-60,Male,484649,56.97,1.88,8.49,Vaccination,40909.0,Yes,98.04,4705.0,7.43,3578.0,0.63,88.37 +88892,Mexico,2024,Dengue,Bacterial,4.41,8.87,6.5,19-35,Other,736406,67.76,4.65,6.48,Therapy,43149.0,No,50.93,1577.0,5.0,3757.0,0.54,62.04 +88895,Nigeria,2008,COVID-19,Respiratory,4.51,6.5,4.73,61+,Other,75632,55.38,2.75,5.52,Medication,44267.0,No,73.1,66.0,8.34,65119.0,0.62,46.07 +88905,South Korea,2016,Measles,Genetic,18.91,11.54,8.5,0-18,Female,794961,74.37,0.59,9.38,Vaccination,35774.0,Yes,88.45,1086.0,9.93,37478.0,0.45,67.7 +88911,USA,2005,Asthma,Respiratory,10.03,3.02,0.51,61+,Other,535564,98.13,0.95,2.23,Surgery,25120.0,Yes,62.92,4210.0,6.23,76707.0,0.83,58.98 +88916,UK,2022,Leprosy,Metabolic,15.34,12.94,4.96,36-60,Other,482583,79.99,2.59,1.25,Vaccination,37503.0,Yes,58.41,4657.0,4.74,40923.0,0.7,27.24 +88918,Canada,2017,Parkinson's Disease,Respiratory,14.92,1.64,3.3,19-35,Female,257957,69.35,4.24,4.07,Therapy,36994.0,Yes,79.78,1041.0,6.08,82228.0,0.61,58.49 +88927,Nigeria,2017,Cholera,Bacterial,0.6,6.16,1.77,19-35,Female,783317,67.89,1.74,7.82,Medication,30094.0,No,95.07,1870.0,4.03,16269.0,0.85,82.82 +88934,Turkey,2004,Diabetes,Viral,18.2,11.81,4.04,0-18,Other,386995,59.15,4.71,3.74,Therapy,22795.0,No,50.92,2979.0,1.82,31755.0,0.9,30.52 +88936,China,2023,Influenza,Parasitic,10.61,9.15,9.78,61+,Other,460045,75.69,0.89,7.93,Vaccination,33960.0,Yes,63.45,1531.0,6.41,59816.0,0.69,33.59 +88942,South Korea,2015,Polio,Chronic,1.18,1.56,1.02,19-35,Other,684006,78.98,1.52,0.68,Vaccination,8375.0,No,65.27,1212.0,9.38,50364.0,0.88,59.01 +88951,South Korea,2001,Parkinson's Disease,Parasitic,6.96,14.01,2.36,0-18,Male,844334,66.99,4.14,0.74,Therapy,15624.0,Yes,84.32,1924.0,5.49,81872.0,0.56,62.56 +88953,Brazil,2016,Cholera,Chronic,0.4,12.43,6.58,19-35,Female,880135,74.13,1.63,1.63,Vaccination,12502.0,Yes,84.97,2053.0,8.91,28225.0,0.77,28.49 +88963,Turkey,2019,Rabies,Respiratory,1.87,5.41,3.97,61+,Female,486193,86.03,3.73,3.75,Vaccination,28758.0,No,62.42,919.0,3.35,97405.0,0.89,31.81 +88969,China,2022,Cholera,Respiratory,4.58,14.81,2.81,36-60,Other,464060,66.64,3.62,9.78,Therapy,13260.0,Yes,61.67,4101.0,1.51,9652.0,0.46,71.24 +88982,India,2001,Leprosy,Bacterial,10.05,6.99,6.45,0-18,Other,973880,91.73,3.16,4.47,Surgery,15717.0,Yes,75.77,1229.0,6.77,86464.0,0.63,69.58 +88986,India,2011,COVID-19,Parasitic,11.73,9.71,7.36,36-60,Female,932067,85.71,1.72,2.21,Surgery,33314.0,Yes,75.34,2996.0,0.59,46333.0,0.73,32.9 +88993,India,2009,Cholera,Parasitic,12.88,6.27,8.81,0-18,Other,190156,95.38,2.07,7.94,Vaccination,7864.0,Yes,96.52,2071.0,7.31,75629.0,0.51,51.36 +88994,India,2016,Cancer,Bacterial,4.04,0.27,8.16,61+,Other,418844,81.7,2.38,6.36,Surgery,41848.0,Yes,89.77,3785.0,4.31,59297.0,0.62,34.77 +89001,India,2016,COVID-19,Autoimmune,16.6,8.96,7.4,36-60,Other,756766,65.02,2.59,9.54,Medication,46839.0,No,95.98,2802.0,5.49,34788.0,0.63,34.44 +89007,Turkey,2014,Tuberculosis,Genetic,5.46,10.9,8.16,19-35,Female,525016,94.55,4.25,8.98,Medication,3621.0,Yes,58.09,4847.0,3.85,36396.0,0.75,38.94 +89009,Germany,2012,Cancer,Viral,6.65,8.5,6.44,36-60,Female,514929,99.69,4.24,8.28,Medication,31179.0,No,83.89,2943.0,6.63,48860.0,0.43,65.88 +89014,USA,2001,Measles,Neurological,4.09,13.75,2.55,36-60,Female,363060,86.39,1.47,0.94,Medication,1096.0,No,73.53,2974.0,1.4,67150.0,0.58,30.76 +89019,Australia,2005,Parkinson's Disease,Autoimmune,19.99,14.72,1.2,19-35,Other,140823,98.73,4.9,9.69,Vaccination,1742.0,No,89.32,1784.0,8.01,60611.0,0.55,77.14 +89021,Turkey,2004,Parkinson's Disease,Neurological,9.97,12.82,1.9,36-60,Other,577494,83.71,0.55,6.32,Therapy,9769.0,No,75.86,1250.0,8.49,27431.0,0.59,23.21 +89030,South Africa,2011,Alzheimer's Disease,Infectious,16.0,0.58,7.69,19-35,Female,827222,82.76,1.73,0.62,Therapy,48564.0,No,50.1,1818.0,6.19,65459.0,0.69,35.41 +89049,Argentina,2008,Leprosy,Viral,6.46,3.11,8.57,0-18,Female,217557,59.51,4.76,5.72,Surgery,25983.0,Yes,87.92,4443.0,8.47,84207.0,0.88,26.86 +89051,Argentina,2006,Parkinson's Disease,Viral,3.16,9.0,4.26,19-35,Other,499296,87.78,2.51,4.45,Surgery,8685.0,No,65.12,134.0,0.19,15849.0,0.5,25.83 +89057,Nigeria,2015,Hypertension,Autoimmune,16.75,0.48,7.36,36-60,Female,395202,81.38,3.18,6.41,Surgery,30381.0,No,94.61,1163.0,9.8,12547.0,0.55,89.61 +89061,South Africa,2014,Ebola,Bacterial,5.15,4.88,1.69,61+,Male,197353,93.37,4.08,9.49,Surgery,48289.0,No,60.22,276.0,7.31,29757.0,0.62,72.64 +89065,China,2011,Rabies,Neurological,7.97,11.94,3.84,36-60,Other,370185,86.52,3.27,1.31,Therapy,2625.0,No,93.02,668.0,6.08,43861.0,0.72,24.73 +89066,South Africa,2022,Rabies,Respiratory,11.85,7.12,1.51,61+,Male,782355,63.34,0.91,6.81,Therapy,46663.0,No,61.68,266.0,7.96,33980.0,0.87,79.23 +89070,UK,2009,Rabies,Metabolic,10.64,14.29,1.97,19-35,Female,447958,82.31,3.04,9.51,Medication,49558.0,Yes,86.05,4484.0,5.32,87946.0,0.76,29.25 +89077,India,2023,Tuberculosis,Parasitic,17.79,9.71,6.2,0-18,Other,756029,60.36,2.62,8.24,Surgery,4096.0,No,90.55,1935.0,6.85,3417.0,0.7,67.07 +89081,Indonesia,2004,Malaria,Genetic,13.85,9.03,5.62,36-60,Female,482090,53.9,1.54,3.47,Medication,28339.0,Yes,64.45,1953.0,6.53,99433.0,0.5,60.83 +89085,Brazil,2000,Polio,Genetic,10.98,0.37,9.12,36-60,Other,223586,72.84,0.79,3.13,Surgery,37399.0,No,76.03,1466.0,0.54,5368.0,0.85,68.18 +89091,China,2015,Hypertension,Viral,16.87,1.47,7.63,0-18,Female,452161,51.86,2.76,9.02,Therapy,34921.0,Yes,98.67,910.0,7.21,87415.0,0.5,74.01 +89093,China,2018,COVID-19,Autoimmune,7.83,11.09,8.33,19-35,Male,980419,80.24,2.6,9.81,Therapy,26550.0,No,56.37,4426.0,5.57,26328.0,0.69,26.89 +89097,China,2016,Influenza,Respiratory,7.87,14.94,0.64,61+,Male,893716,57.5,3.93,9.67,Vaccination,34814.0,Yes,90.95,3494.0,6.56,35761.0,0.56,42.02 +89114,Argentina,2008,Parkinson's Disease,Metabolic,8.2,9.33,4.41,36-60,Other,517358,92.56,4.09,6.58,Medication,19407.0,No,94.53,4277.0,0.31,33661.0,0.8,20.62 +89115,Japan,2017,Rabies,Bacterial,17.56,8.76,6.21,19-35,Male,940326,98.56,3.15,2.18,Medication,38372.0,Yes,87.32,4.0,7.89,99094.0,0.88,81.56 +89117,Germany,2024,COVID-19,Chronic,17.31,1.33,6.97,36-60,Male,941059,65.18,1.83,8.52,Vaccination,29985.0,No,64.58,2868.0,7.31,71397.0,0.76,87.16 +89127,Italy,2022,Polio,Cardiovascular,11.53,5.36,8.71,0-18,Female,134434,70.82,2.89,9.39,Vaccination,3476.0,No,68.82,51.0,9.0,96789.0,0.62,50.47 +89142,Russia,2002,Hypertension,Neurological,0.12,6.13,0.56,0-18,Female,999537,50.29,2.22,9.59,Surgery,35915.0,Yes,75.4,4316.0,3.54,30941.0,0.58,21.06 +89144,Saudi Arabia,2007,Influenza,Bacterial,11.53,0.88,2.44,36-60,Female,242699,89.24,4.06,3.34,Therapy,25527.0,No,70.45,3917.0,7.71,51112.0,0.62,49.93 +89149,Russia,2012,Hepatitis,Genetic,5.91,11.17,5.48,19-35,Female,144983,73.84,1.81,6.96,Therapy,1486.0,Yes,94.65,2010.0,8.94,26789.0,0.6,73.53 +89153,Canada,2006,Hepatitis,Parasitic,17.68,1.69,2.67,0-18,Male,528147,81.97,0.96,4.8,Vaccination,27556.0,No,82.82,2593.0,8.02,85967.0,0.66,64.34 +89156,China,2005,Diabetes,Metabolic,18.95,14.06,3.91,61+,Male,561462,77.98,3.22,9.01,Medication,37554.0,No,75.59,1209.0,2.98,23766.0,0.61,42.22 +89157,USA,2014,Hypertension,Bacterial,10.58,9.13,8.4,36-60,Other,795783,73.53,4.63,6.04,Medication,13960.0,No,91.52,4317.0,9.42,12956.0,0.59,78.37 +89158,Saudi Arabia,2011,COVID-19,Cardiovascular,11.94,8.15,4.12,19-35,Female,701477,51.48,4.95,2.04,Surgery,10275.0,No,59.31,1651.0,1.07,2566.0,0.5,46.26 +89164,Australia,2024,Malaria,Viral,10.67,7.17,4.36,0-18,Other,130361,93.7,1.23,2.39,Therapy,44590.0,No,75.42,2434.0,2.2,66876.0,0.7,26.45 +89172,Canada,2004,Diabetes,Chronic,9.97,13.49,7.7,19-35,Male,379594,92.55,0.87,4.33,Vaccination,41513.0,No,89.74,2994.0,8.91,29757.0,0.71,74.29 +89173,Argentina,2006,Leprosy,Cardiovascular,12.26,10.04,6.15,36-60,Other,928341,58.04,4.3,3.0,Therapy,32998.0,No,84.24,3070.0,9.8,78142.0,0.89,85.21 +89174,Mexico,2020,Diabetes,Cardiovascular,0.74,8.28,8.57,36-60,Other,463847,61.83,3.32,8.08,Vaccination,24412.0,No,52.04,1225.0,9.16,29004.0,0.57,81.27 +89198,USA,2002,Cancer,Bacterial,15.05,11.3,2.74,19-35,Male,927278,98.78,4.88,6.33,Therapy,45204.0,Yes,84.02,2252.0,4.46,16431.0,0.46,41.39 +89199,Nigeria,2003,Zika,Metabolic,6.97,7.45,4.73,0-18,Male,861638,86.29,3.72,9.5,Surgery,13821.0,No,55.96,25.0,0.08,4992.0,0.56,89.73 +89202,Germany,2008,Polio,Metabolic,0.22,3.5,2.86,61+,Other,99446,88.16,1.58,8.1,Therapy,21945.0,No,69.59,3185.0,6.72,83651.0,0.44,31.18 +89214,UK,2004,Asthma,Parasitic,6.65,0.18,1.65,0-18,Other,584340,55.21,2.71,9.58,Vaccination,24955.0,Yes,66.08,138.0,8.51,49037.0,0.57,68.88 +89217,South Korea,2013,Polio,Parasitic,8.57,7.6,7.1,61+,Other,316848,53.89,2.08,8.68,Surgery,28563.0,Yes,61.78,1685.0,9.37,18102.0,0.58,70.42 +89223,China,2023,Leprosy,Bacterial,6.51,6.82,7.38,0-18,Female,113726,53.16,0.7,1.7,Surgery,33257.0,Yes,77.22,3194.0,9.75,57156.0,0.81,31.85 +89229,Italy,2023,Alzheimer's Disease,Respiratory,13.08,9.38,2.77,36-60,Female,78423,58.89,3.05,1.29,Vaccination,5087.0,Yes,71.52,4623.0,6.74,72952.0,0.5,75.97 +89244,France,2019,Cholera,Respiratory,1.74,4.86,8.3,61+,Other,576321,59.16,3.3,5.19,Vaccination,11516.0,Yes,73.07,1342.0,7.09,5578.0,0.73,74.62 +89245,Japan,2017,Rabies,Metabolic,7.69,14.6,3.8,36-60,Other,230418,96.91,4.39,8.93,Medication,40050.0,No,90.18,3466.0,6.14,79506.0,0.71,58.01 +89257,India,2007,Leprosy,Metabolic,9.45,9.84,7.02,61+,Other,459352,53.39,0.57,7.81,Vaccination,24674.0,Yes,75.31,3521.0,6.93,41495.0,0.51,80.47 +89270,Russia,2020,Measles,Infectious,16.37,9.25,6.3,36-60,Male,526099,88.22,0.5,6.86,Therapy,20835.0,Yes,89.11,4887.0,1.36,24498.0,0.62,48.61 +89272,Russia,2020,Leprosy,Autoimmune,18.49,14.24,5.21,19-35,Female,246093,68.46,2.78,8.69,Surgery,32330.0,Yes,84.65,4208.0,0.98,90469.0,0.48,77.71 +89273,South Africa,2024,Hypertension,Cardiovascular,19.55,12.59,6.17,36-60,Other,632241,60.84,1.7,4.86,Therapy,41107.0,No,70.7,2154.0,4.37,28075.0,0.46,73.09 +89276,India,2018,Asthma,Autoimmune,10.94,6.46,6.96,36-60,Other,112654,50.31,3.55,2.85,Medication,25806.0,Yes,68.9,3800.0,5.15,98377.0,0.6,33.55 +89277,Saudi Arabia,2006,Hypertension,Neurological,10.09,7.66,6.48,61+,Other,191857,51.95,2.12,7.58,Surgery,20465.0,No,56.6,4327.0,9.01,64532.0,0.59,54.65 +89280,Italy,2005,Cholera,Parasitic,7.55,10.97,4.97,61+,Other,709697,94.17,3.42,9.9,Medication,20787.0,Yes,95.03,4466.0,8.55,58351.0,0.49,82.04 +89293,Canada,2005,Asthma,Parasitic,5.45,14.73,5.19,0-18,Male,483542,77.85,4.45,6.01,Surgery,12324.0,Yes,83.36,498.0,4.2,97574.0,0.79,36.22 +89295,Japan,2009,Asthma,Autoimmune,1.85,11.56,6.75,0-18,Other,261617,88.14,0.88,0.85,Therapy,15722.0,No,54.46,1896.0,6.97,83024.0,0.6,62.2 +89297,South Korea,2019,Rabies,Neurological,19.79,5.19,4.81,0-18,Male,767926,70.11,0.87,5.52,Vaccination,11834.0,Yes,90.62,2786.0,7.38,97478.0,0.74,21.04 +89299,South Korea,2011,Hypertension,Respiratory,3.39,11.39,1.77,61+,Other,804005,60.51,4.99,2.95,Medication,20991.0,Yes,77.11,1752.0,0.37,55301.0,0.83,87.21 +89300,India,2014,Rabies,Chronic,17.72,8.88,1.77,0-18,Female,521734,61.47,3.72,3.35,Vaccination,4054.0,Yes,91.71,4346.0,1.31,45924.0,0.4,32.86 +89301,Turkey,2024,HIV/AIDS,Chronic,1.05,12.7,5.05,36-60,Male,32760,69.78,2.6,1.77,Therapy,12538.0,No,89.49,1495.0,5.86,86080.0,0.49,53.36 +89302,Mexico,2020,Rabies,Chronic,2.79,13.03,1.74,0-18,Female,102739,79.71,2.39,2.62,Therapy,4527.0,Yes,96.63,4067.0,1.1,13784.0,0.63,73.53 +89304,USA,2000,Cholera,Parasitic,1.96,13.51,8.52,36-60,Female,432377,76.2,1.74,1.23,Vaccination,27515.0,No,76.16,2094.0,1.23,99991.0,0.81,45.28 +89312,Italy,2001,Rabies,Parasitic,1.8,4.46,1.44,19-35,Male,879084,69.82,2.49,5.75,Surgery,48680.0,No,51.92,3118.0,6.05,21237.0,0.67,30.51 +89313,Mexico,2019,Influenza,Genetic,9.1,1.83,9.53,36-60,Other,87687,71.82,4.66,9.7,Vaccination,27677.0,Yes,77.9,1024.0,6.97,56909.0,0.67,47.97 +89319,Argentina,2009,Ebola,Viral,7.55,1.71,6.96,0-18,Other,249559,56.58,3.43,7.47,Medication,39796.0,No,64.42,3455.0,8.64,73049.0,0.57,23.94 +89323,UK,2016,Tuberculosis,Metabolic,15.29,7.4,6.88,61+,Male,963160,94.12,2.0,3.24,Medication,18954.0,Yes,97.21,2529.0,6.75,41435.0,0.8,42.51 +89324,Turkey,2015,Leprosy,Viral,7.53,10.82,5.15,61+,Male,742129,86.89,0.82,4.77,Therapy,1390.0,Yes,50.57,4618.0,8.89,28629.0,0.57,46.42 +89333,Russia,2006,COVID-19,Chronic,9.48,6.91,2.9,19-35,Female,963186,89.06,4.83,2.16,Therapy,5510.0,No,74.59,254.0,4.17,75862.0,0.79,25.64 +89344,Turkey,2009,Parkinson's Disease,Viral,15.88,3.94,2.05,61+,Female,270447,53.83,4.34,4.61,Therapy,42312.0,No,86.71,781.0,4.35,70358.0,0.64,43.65 +89355,South Africa,2020,Zika,Infectious,15.85,8.9,6.18,61+,Male,467600,88.93,3.29,7.36,Surgery,41047.0,Yes,90.36,3948.0,1.7,18042.0,0.73,21.7 +89373,Russia,2015,Measles,Respiratory,14.2,1.82,7.53,36-60,Male,879863,91.66,1.38,6.74,Vaccination,46951.0,No,54.29,3623.0,0.48,92686.0,0.69,84.71 +89377,Russia,2005,Malaria,Neurological,14.78,9.05,8.61,61+,Other,704317,89.17,4.24,5.45,Therapy,20379.0,Yes,69.94,4564.0,7.46,91987.0,0.78,60.22 +89386,UK,2012,Diabetes,Metabolic,4.35,6.09,9.22,19-35,Female,238479,51.14,2.72,1.81,Surgery,31040.0,Yes,83.74,966.0,4.09,3746.0,0.42,40.39 +89389,USA,2004,Asthma,Infectious,13.36,1.89,9.26,36-60,Other,854469,67.27,4.95,2.47,Medication,33652.0,Yes,93.51,4833.0,7.92,39751.0,0.54,29.26 +89394,France,2014,Dengue,Genetic,1.16,3.39,1.57,61+,Male,860507,57.45,1.87,2.68,Vaccination,44727.0,No,90.91,2428.0,1.2,18333.0,0.55,87.26 +89395,France,2013,HIV/AIDS,Autoimmune,11.12,6.47,4.57,61+,Male,173718,82.36,1.99,8.79,Surgery,48179.0,No,85.42,4541.0,7.98,19713.0,0.69,65.22 +89397,China,2020,Zika,Cardiovascular,11.21,9.24,3.7,0-18,Female,854283,88.61,1.67,6.55,Surgery,6102.0,Yes,83.01,2478.0,1.49,43194.0,0.64,79.95 +89399,South Korea,2006,Asthma,Neurological,13.71,13.52,4.52,0-18,Female,34494,84.06,3.72,3.76,Vaccination,41463.0,Yes,97.38,4698.0,7.52,74944.0,0.77,65.87 +89401,France,2022,Hypertension,Metabolic,16.55,14.75,6.84,61+,Other,952351,95.26,4.87,1.31,Medication,38482.0,Yes,87.56,2364.0,9.64,56667.0,0.74,42.4 +89405,Italy,2017,Polio,Neurological,18.79,5.91,6.77,0-18,Male,444236,75.15,2.91,1.47,Surgery,22384.0,Yes,98.3,1271.0,7.45,55374.0,0.85,83.16 +89407,USA,2013,Asthma,Genetic,10.59,8.15,2.24,61+,Male,366733,99.43,4.68,4.59,Therapy,46005.0,Yes,82.64,3098.0,2.97,58305.0,0.88,84.71 +89420,France,2008,COVID-19,Respiratory,6.32,1.1,7.93,19-35,Other,507862,67.66,1.8,0.78,Therapy,1525.0,No,62.03,3134.0,5.96,74703.0,0.5,82.25 +89430,Brazil,2002,Diabetes,Neurological,18.73,10.78,9.44,0-18,Male,486437,87.54,0.58,9.47,Therapy,6878.0,No,90.94,1197.0,8.45,80248.0,0.85,85.89 +89435,Russia,2004,Measles,Bacterial,5.11,14.17,9.84,61+,Male,961505,72.09,2.12,7.53,Surgery,6567.0,No,83.61,1345.0,1.42,97485.0,0.74,83.87 +89438,Saudi Arabia,2024,Diabetes,Chronic,18.59,11.26,9.23,0-18,Male,718771,51.9,4.33,4.17,Therapy,22093.0,No,65.89,349.0,2.78,70736.0,0.7,38.82 +89448,Australia,2004,Rabies,Bacterial,5.3,11.1,6.98,36-60,Female,859389,97.99,0.61,0.57,Therapy,35992.0,No,68.84,2027.0,0.61,87289.0,0.79,61.8 +89457,Canada,2013,Zika,Autoimmune,3.19,8.34,4.09,0-18,Male,703446,72.27,0.66,4.54,Vaccination,1061.0,No,92.95,4819.0,8.54,53054.0,0.61,60.88 +89459,South Africa,2018,Zika,Infectious,0.88,4.16,3.43,61+,Other,404597,79.85,3.18,7.82,Medication,14654.0,No,51.36,314.0,2.16,43563.0,0.82,49.78 +89469,South Korea,2007,Zika,Chronic,16.37,4.9,1.93,19-35,Male,87703,84.31,1.26,9.05,Therapy,24154.0,Yes,67.85,4292.0,9.91,29993.0,0.72,69.7 +89480,Japan,2002,Zika,Cardiovascular,15.2,13.18,6.73,61+,Female,37443,62.69,1.32,2.16,Medication,48072.0,Yes,88.03,1188.0,4.93,17971.0,0.72,60.69 +89484,South Africa,2001,Diabetes,Cardiovascular,9.64,6.17,0.38,36-60,Other,939265,60.55,0.59,6.45,Medication,39210.0,Yes,73.92,3589.0,5.5,62043.0,0.41,78.51 +89485,Italy,2012,Cholera,Respiratory,5.49,12.05,3.85,61+,Female,974382,59.18,4.25,0.84,Medication,15982.0,No,83.33,579.0,7.48,29935.0,0.85,35.2 +89498,Japan,2020,Tuberculosis,Autoimmune,10.57,1.32,1.5,0-18,Female,412341,75.38,3.0,9.61,Medication,14748.0,No,62.43,3482.0,0.43,41211.0,0.89,39.48 +89515,Turkey,2004,Measles,Autoimmune,15.39,7.12,9.34,19-35,Male,194980,70.41,0.61,9.97,Vaccination,23227.0,Yes,80.07,3499.0,9.01,90126.0,0.52,38.22 +89517,Brazil,2022,Dengue,Autoimmune,4.64,2.18,1.18,0-18,Other,90703,52.36,1.44,7.71,Therapy,14146.0,Yes,86.29,790.0,6.86,45205.0,0.68,27.83 +89520,Argentina,2022,Influenza,Neurological,0.72,0.45,1.6,19-35,Male,57195,82.66,2.04,8.4,Vaccination,15744.0,Yes,69.2,3466.0,7.93,76607.0,0.45,61.21 +89521,UK,2000,Parkinson's Disease,Autoimmune,13.43,9.96,5.0,0-18,Other,641955,96.71,1.59,9.07,Medication,1711.0,Yes,52.71,2383.0,5.18,60837.0,0.55,89.47 +89523,Argentina,2005,Hypertension,Genetic,9.42,14.01,1.46,19-35,Female,620288,73.98,4.09,4.68,Therapy,41404.0,No,92.83,2939.0,9.01,62832.0,0.47,38.11 +89526,Brazil,2021,Cancer,Chronic,3.51,8.63,1.95,0-18,Other,869949,89.23,4.3,1.08,Therapy,17096.0,Yes,86.06,4596.0,6.16,14791.0,0.74,46.61 +89542,Argentina,2008,COVID-19,Genetic,14.23,3.69,9.8,19-35,Male,818051,90.6,4.17,1.2,Surgery,34413.0,Yes,95.38,494.0,0.51,23783.0,0.6,38.06 +89548,South Africa,2005,Hepatitis,Infectious,2.4,2.91,7.45,19-35,Male,440056,98.49,1.14,8.27,Medication,45099.0,No,87.39,3864.0,4.94,72314.0,0.49,56.49 +89557,Turkey,2013,Dengue,Neurological,10.63,7.92,5.36,19-35,Other,381638,83.02,4.37,4.82,Medication,47522.0,Yes,72.07,69.0,7.73,52666.0,0.7,48.81 +89567,Italy,2010,Influenza,Parasitic,9.61,1.28,1.99,19-35,Female,282826,50.13,3.88,1.22,Therapy,23820.0,No,63.03,2063.0,0.79,51421.0,0.73,30.34 +89578,Japan,2016,Hepatitis,Bacterial,3.28,4.6,9.64,36-60,Male,805817,54.36,2.61,4.63,Therapy,45006.0,No,69.37,3699.0,3.66,46548.0,0.47,68.94 +89579,South Korea,2017,Zika,Genetic,6.82,5.24,2.06,61+,Female,320495,73.32,2.13,9.3,Medication,2108.0,No,68.38,2463.0,6.92,86091.0,0.7,47.89 +89581,USA,2003,Diabetes,Infectious,7.76,11.92,6.0,36-60,Other,772359,71.97,4.44,9.47,Medication,45519.0,No,57.28,4040.0,4.93,4787.0,0.66,64.76 +89588,Italy,2021,Polio,Parasitic,9.7,8.33,2.81,36-60,Other,352933,54.02,0.94,9.38,Surgery,30008.0,Yes,87.07,3444.0,1.47,52026.0,0.58,43.94 +89591,Turkey,2024,Cancer,Metabolic,4.98,14.05,3.93,19-35,Female,366213,95.64,2.78,7.39,Vaccination,18844.0,Yes,64.38,4131.0,5.57,88404.0,0.61,31.26 +89602,Nigeria,2006,Influenza,Chronic,8.72,11.73,7.05,0-18,Male,899986,55.81,0.63,5.75,Medication,9431.0,No,96.0,1738.0,0.19,7517.0,0.77,52.94 +89604,India,2016,Malaria,Infectious,19.51,7.51,2.17,19-35,Male,412967,88.19,2.38,1.18,Vaccination,46952.0,Yes,54.31,3413.0,3.03,9432.0,0.78,25.49 +89608,UK,2010,Polio,Respiratory,10.68,5.46,8.29,36-60,Male,404702,52.44,2.41,7.31,Therapy,20260.0,Yes,98.05,4987.0,0.95,37247.0,0.49,72.98 +89611,Argentina,2010,Zika,Viral,6.12,7.37,3.57,19-35,Male,130358,69.48,3.6,5.75,Vaccination,20740.0,No,69.2,1803.0,1.94,8063.0,0.6,65.56 +89612,Canada,2022,Cholera,Respiratory,4.13,14.11,2.97,36-60,Female,798866,96.22,3.89,2.69,Surgery,48297.0,No,89.31,4113.0,9.11,78033.0,0.85,75.3 +89615,Argentina,2003,Rabies,Infectious,17.35,9.81,5.78,19-35,Female,734859,82.53,2.08,3.12,Therapy,45583.0,No,89.83,2741.0,1.75,81865.0,0.85,78.31 +89618,Nigeria,2016,Cholera,Infectious,17.16,1.97,7.83,0-18,Male,389994,85.47,2.38,2.91,Vaccination,42943.0,No,54.54,4678.0,7.35,72384.0,0.55,31.51 +89620,China,2019,Cancer,Metabolic,2.87,8.31,1.18,61+,Male,739468,59.95,2.13,3.09,Medication,39800.0,No,76.94,4198.0,5.97,80050.0,0.42,52.13 +89632,Australia,2018,Malaria,Infectious,14.16,14.6,9.53,61+,Other,541893,73.29,2.67,6.42,Surgery,11335.0,Yes,76.61,1285.0,5.07,22978.0,0.63,70.08 +89633,Saudi Arabia,2017,HIV/AIDS,Genetic,15.65,10.43,7.35,36-60,Other,461916,55.38,2.79,6.61,Vaccination,1999.0,No,93.23,3046.0,6.96,80952.0,0.78,85.09 +89639,USA,2008,Diabetes,Respiratory,4.69,10.29,0.85,36-60,Male,447022,91.89,1.4,2.99,Therapy,4203.0,Yes,72.95,3978.0,1.6,81406.0,0.9,37.77 +89653,Canada,2012,Alzheimer's Disease,Genetic,11.13,14.63,0.91,36-60,Female,853180,86.24,2.36,7.94,Medication,12292.0,No,94.73,1587.0,6.73,37739.0,0.52,50.58 +89662,Russia,2002,HIV/AIDS,Neurological,13.46,13.47,3.38,0-18,Male,151264,81.48,1.51,9.99,Vaccination,33367.0,Yes,54.26,961.0,5.68,30385.0,0.59,70.47 +89668,Australia,2007,Dengue,Parasitic,3.63,13.39,3.69,0-18,Male,300299,65.37,3.82,2.44,Medication,30172.0,No,53.11,3614.0,1.75,19010.0,0.49,31.67 +89670,Turkey,2002,Polio,Metabolic,16.4,1.95,9.69,36-60,Male,669472,99.79,0.98,1.77,Therapy,26848.0,Yes,55.67,2420.0,7.5,83787.0,0.42,48.3 +89679,Brazil,2008,Polio,Metabolic,11.85,5.41,0.79,36-60,Female,2253,79.78,1.39,7.02,Surgery,15479.0,Yes,66.64,2171.0,4.0,26606.0,0.75,70.56 +89681,Saudi Arabia,2024,Zika,Bacterial,17.4,10.74,3.38,36-60,Male,698129,98.91,1.34,9.08,Vaccination,48687.0,No,97.6,1551.0,0.36,76069.0,0.86,36.5 +89689,Brazil,2023,Measles,Infectious,16.67,11.38,9.55,61+,Male,588586,51.6,4.0,5.54,Medication,5414.0,Yes,51.99,1670.0,9.57,34273.0,0.73,71.75 +89690,South Africa,2009,Diabetes,Cardiovascular,13.3,6.33,3.38,36-60,Male,268002,71.74,4.18,2.12,Therapy,37911.0,Yes,83.54,2740.0,0.9,83389.0,0.57,31.56 +89696,Saudi Arabia,2014,Malaria,Neurological,2.17,6.61,3.27,36-60,Female,453197,69.82,3.86,8.71,Medication,31472.0,Yes,59.48,734.0,7.2,23914.0,0.51,58.21 +89697,China,2015,Hypertension,Bacterial,5.69,10.14,1.06,19-35,Other,131850,93.49,4.29,4.81,Surgery,30836.0,Yes,80.25,1316.0,8.49,19738.0,0.8,60.2 +89704,Australia,2017,Dengue,Neurological,1.6,4.53,1.53,61+,Other,218359,59.05,4.73,2.02,Medication,613.0,No,66.32,4540.0,1.16,74456.0,0.55,46.19 +89708,South Korea,2015,Malaria,Neurological,15.93,7.31,8.95,36-60,Male,702828,95.2,0.59,5.23,Surgery,46344.0,Yes,73.5,3064.0,5.25,27997.0,0.7,80.2 +89721,Italy,2008,Influenza,Infectious,4.06,3.04,4.11,0-18,Female,422325,93.93,3.49,9.03,Vaccination,28320.0,No,84.82,3976.0,0.7,42741.0,0.63,58.3 +89735,India,2011,Asthma,Neurological,0.47,8.08,5.05,0-18,Male,515894,76.91,1.23,7.72,Surgery,23780.0,Yes,90.68,4011.0,4.46,31169.0,0.57,70.77 +89736,Canada,2019,Measles,Genetic,2.52,11.4,6.62,0-18,Other,260048,63.73,2.34,0.54,Therapy,28046.0,Yes,66.94,599.0,9.43,82092.0,0.88,59.21 +89749,UK,2002,Ebola,Viral,3.88,10.55,6.56,36-60,Other,732143,74.07,0.9,0.98,Vaccination,42330.0,Yes,61.64,2698.0,7.59,73190.0,0.72,77.13 +89750,Italy,2020,Parkinson's Disease,Genetic,14.93,0.82,2.13,0-18,Male,412018,52.49,2.64,6.99,Vaccination,33073.0,Yes,54.25,3452.0,3.32,8821.0,0.84,31.93 +89751,Canada,2010,Diabetes,Respiratory,9.01,14.1,3.17,36-60,Female,375112,53.95,1.85,4.55,Vaccination,37199.0,Yes,55.82,2882.0,7.93,99474.0,0.87,88.8 +89756,Germany,2011,Cholera,Genetic,1.33,11.87,4.84,19-35,Male,921992,64.18,4.66,1.71,Therapy,48540.0,Yes,81.67,1826.0,2.37,31183.0,0.52,85.68 +89759,France,2006,Ebola,Autoimmune,18.2,5.48,5.47,36-60,Male,696645,82.8,1.39,9.15,Surgery,13022.0,Yes,92.16,694.0,3.16,85214.0,0.75,56.86 +89763,China,2009,Cancer,Neurological,9.76,0.32,4.51,36-60,Male,2942,63.63,4.77,7.77,Therapy,28995.0,Yes,85.54,4998.0,6.6,40692.0,0.77,44.42 +89771,Japan,2013,Measles,Infectious,4.23,14.79,3.92,19-35,Female,572958,99.69,3.45,1.83,Vaccination,29780.0,No,73.08,3308.0,2.17,30007.0,0.79,48.63 +89773,India,2002,Diabetes,Bacterial,14.48,5.75,9.01,19-35,Female,838918,82.17,3.05,9.68,Vaccination,30313.0,Yes,95.27,4307.0,6.13,79547.0,0.75,37.36 +89775,Saudi Arabia,2000,Rabies,Bacterial,2.33,10.59,7.13,19-35,Female,548272,57.46,3.74,4.12,Surgery,174.0,Yes,89.35,4529.0,9.94,88427.0,0.8,71.17 +89780,Turkey,2005,Ebola,Metabolic,10.09,3.73,9.09,19-35,Male,915632,79.59,2.46,7.55,Therapy,28579.0,Yes,66.95,3291.0,0.59,17139.0,0.87,57.26 +89783,UK,2018,Hypertension,Bacterial,17.96,5.6,9.21,36-60,Male,541002,77.66,1.71,9.83,Surgery,36527.0,Yes,55.4,3645.0,4.19,43913.0,0.85,64.61 +89787,Nigeria,2017,Tuberculosis,Genetic,0.37,6.72,5.11,19-35,Male,309389,50.56,3.49,3.38,Vaccination,45353.0,Yes,73.17,4446.0,7.72,21491.0,0.88,78.65 +89791,USA,2009,Hepatitis,Viral,1.77,10.96,6.09,36-60,Other,207749,88.38,3.6,6.53,Medication,12753.0,Yes,71.93,1430.0,2.18,83937.0,0.82,76.91 +89793,India,2004,Tuberculosis,Metabolic,16.86,14.72,5.72,61+,Female,305108,65.51,2.45,9.84,Medication,20517.0,No,58.49,815.0,5.58,30881.0,0.8,75.57 +89794,Nigeria,2019,Dengue,Infectious,5.61,8.43,6.39,0-18,Other,576351,86.4,1.94,4.79,Surgery,31795.0,Yes,73.72,2818.0,1.31,26695.0,0.7,86.07 +89799,Germany,2009,Polio,Bacterial,9.33,11.44,4.59,36-60,Female,664933,98.46,1.04,3.04,Surgery,44607.0,Yes,92.91,388.0,8.19,98203.0,0.88,35.14 +89805,India,2015,Leprosy,Autoimmune,2.47,4.92,7.72,36-60,Other,218735,90.38,2.89,8.44,Vaccination,9336.0,No,96.26,1785.0,3.49,43047.0,0.87,51.76 +89814,Italy,2022,Hepatitis,Respiratory,15.5,6.7,9.03,36-60,Male,708314,96.88,3.7,0.82,Surgery,42990.0,Yes,69.55,4408.0,7.84,60796.0,0.47,20.3 +89817,Canada,2023,Diabetes,Cardiovascular,4.85,4.97,3.37,36-60,Male,356111,91.52,2.56,8.26,Therapy,42151.0,Yes,87.91,1788.0,0.62,11822.0,0.71,63.88 +89820,Germany,2016,Parkinson's Disease,Parasitic,4.21,0.42,7.21,61+,Male,900017,83.43,2.45,1.01,Medication,39175.0,Yes,79.04,1505.0,4.74,89581.0,0.68,25.28 +89844,USA,2022,Tuberculosis,Metabolic,13.83,10.24,3.2,61+,Female,703724,86.97,4.23,4.46,Vaccination,28292.0,No,52.43,2348.0,2.67,54093.0,0.83,85.73 +89846,UK,2005,Dengue,Autoimmune,14.71,0.77,6.36,19-35,Other,872369,80.75,4.95,8.27,Medication,18449.0,No,82.76,729.0,2.28,16837.0,0.84,33.69 +89848,Brazil,2001,Dengue,Neurological,16.86,2.77,1.3,61+,Male,135595,55.76,1.82,5.88,Surgery,35947.0,No,76.03,1664.0,8.19,51877.0,0.89,21.03 +89852,South Africa,2020,Zika,Viral,5.12,1.07,2.91,61+,Male,625698,91.31,1.03,8.09,Therapy,26840.0,No,73.51,621.0,6.42,61623.0,0.7,38.57 +89856,USA,2012,Zika,Chronic,18.21,0.19,3.31,36-60,Female,726740,61.08,2.68,2.03,Surgery,33431.0,No,64.29,1182.0,5.37,89074.0,0.86,66.56 +89867,Mexico,2024,Hypertension,Genetic,10.39,11.65,9.9,19-35,Female,513569,85.96,4.96,2.87,Therapy,4356.0,Yes,59.07,516.0,5.71,92786.0,0.43,88.5 +89871,Indonesia,2023,Leprosy,Chronic,16.27,0.46,5.3,36-60,Male,9370,63.79,0.89,8.34,Medication,2638.0,No,63.49,3373.0,3.39,21772.0,0.78,46.71 +89872,Germany,2007,Asthma,Respiratory,8.57,14.82,8.1,19-35,Female,788814,60.86,0.89,0.66,Surgery,15341.0,No,88.27,2995.0,8.77,23292.0,0.63,79.35 +89875,Saudi Arabia,2024,Asthma,Bacterial,13.29,6.62,8.39,61+,Male,416957,75.18,2.89,2.27,Medication,20247.0,No,53.01,3192.0,8.0,91503.0,0.62,55.33 +89876,Italy,2020,Malaria,Genetic,13.03,12.0,4.94,0-18,Female,771436,68.84,3.51,2.71,Vaccination,16864.0,No,50.29,2386.0,1.66,87551.0,0.77,66.91 +89878,Canada,2023,Zika,Respiratory,3.52,5.21,4.07,36-60,Other,161369,63.98,4.94,1.12,Medication,44396.0,Yes,94.82,4123.0,6.19,97503.0,0.59,66.24 +89879,Turkey,2022,Cancer,Bacterial,8.28,12.17,2.64,0-18,Male,152552,99.81,2.86,8.57,Therapy,3304.0,No,93.44,2593.0,3.15,83253.0,0.51,48.02 +89882,Turkey,2009,HIV/AIDS,Viral,19.08,10.85,6.3,61+,Other,430687,57.27,3.5,8.34,Therapy,32113.0,No,92.27,2567.0,4.37,37135.0,0.6,78.57 +89898,South Korea,2017,Parkinson's Disease,Infectious,4.0,13.63,7.29,61+,Male,740861,75.26,4.64,4.17,Surgery,14887.0,Yes,65.01,3051.0,7.17,11692.0,0.88,72.39 +89899,Germany,2000,Parkinson's Disease,Respiratory,8.49,11.85,6.56,0-18,Female,831803,77.33,2.68,9.04,Therapy,38321.0,Yes,56.33,189.0,2.76,81820.0,0.72,65.7 +89909,Italy,2003,Rabies,Respiratory,12.61,12.3,7.1,0-18,Male,871094,80.18,2.67,1.27,Vaccination,41435.0,Yes,90.78,4253.0,0.15,2841.0,0.52,39.26 +89911,Japan,2016,Polio,Respiratory,18.2,0.87,2.99,61+,Female,878394,68.23,4.87,2.98,Surgery,30101.0,No,54.76,2770.0,4.4,67196.0,0.79,85.83 +89920,Australia,2020,Alzheimer's Disease,Autoimmune,2.34,3.67,0.2,0-18,Female,191019,69.32,1.42,1.76,Therapy,42810.0,No,84.43,4770.0,2.09,86981.0,0.66,36.0 +89923,Russia,2000,Dengue,Genetic,17.96,13.08,3.74,0-18,Male,279747,89.96,1.73,7.44,Vaccination,43593.0,No,93.74,2210.0,2.45,63980.0,0.62,86.5 +89926,South Korea,2007,Asthma,Neurological,2.35,1.78,9.3,36-60,Male,601834,62.17,2.36,1.44,Medication,26801.0,Yes,62.41,680.0,5.73,83205.0,0.77,71.09 +89927,Germany,2005,HIV/AIDS,Metabolic,8.84,10.03,9.62,61+,Other,125752,78.95,2.72,9.9,Medication,38176.0,No,81.4,1084.0,1.12,25150.0,0.56,42.81 +89949,UK,2011,Polio,Viral,12.96,0.53,1.42,61+,Male,947930,61.7,1.26,5.52,Medication,30855.0,Yes,93.03,357.0,9.86,48052.0,0.84,25.36 +89960,Turkey,2015,Alzheimer's Disease,Viral,17.63,3.75,0.82,36-60,Other,756832,72.2,1.24,8.5,Surgery,24347.0,Yes,78.65,3598.0,6.26,85229.0,0.5,70.7 +89963,Canada,2010,Ebola,Chronic,1.82,4.44,2.83,61+,Male,356884,70.12,4.85,8.78,Medication,23976.0,Yes,73.18,1798.0,8.47,3490.0,0.57,88.26 +89965,Russia,2024,Cholera,Viral,19.19,12.61,8.25,0-18,Other,814740,91.77,4.74,8.02,Therapy,13406.0,No,77.8,4127.0,4.2,46572.0,0.89,87.84 +89969,UK,2005,Malaria,Cardiovascular,7.63,13.7,4.08,19-35,Female,727466,67.2,0.69,2.38,Surgery,17848.0,Yes,58.1,4085.0,4.6,80778.0,0.45,63.04 +89976,Indonesia,2001,Influenza,Metabolic,6.85,2.09,2.93,36-60,Male,514669,56.19,1.7,7.59,Surgery,976.0,No,86.66,2754.0,3.0,63724.0,0.84,23.48 +89977,China,2016,Hypertension,Parasitic,8.69,14.48,1.33,0-18,Other,90330,57.38,1.74,7.2,Surgery,22863.0,Yes,95.62,4697.0,1.26,21462.0,0.72,35.73 +89978,Argentina,2003,Dengue,Viral,7.75,12.93,0.32,19-35,Other,726035,87.14,3.64,1.18,Therapy,23667.0,No,50.79,4738.0,0.56,30862.0,0.63,71.15 +89984,Argentina,2008,Malaria,Neurological,10.72,10.39,1.2,61+,Female,599902,65.78,1.93,3.11,Surgery,5021.0,No,72.77,1251.0,1.78,87651.0,0.63,28.36 +89985,Canada,2012,Leprosy,Respiratory,0.63,7.75,9.93,36-60,Female,531394,74.73,4.27,2.47,Surgery,27967.0,No,55.89,1178.0,5.57,557.0,0.44,42.05 +89988,Russia,2011,Ebola,Cardiovascular,16.39,12.74,1.02,0-18,Other,581400,72.52,0.73,9.27,Surgery,8816.0,No,60.24,454.0,5.1,95990.0,0.68,63.54 +89990,Canada,2016,Ebola,Autoimmune,12.59,1.87,1.48,0-18,Other,174799,67.86,2.75,7.25,Vaccination,49796.0,No,86.8,4834.0,7.46,90725.0,0.56,38.59 +89992,Germany,2015,Measles,Chronic,0.46,4.22,8.95,61+,Male,258381,78.52,1.78,2.1,Vaccination,19111.0,Yes,73.15,2192.0,4.18,21899.0,0.47,33.53 +89994,Australia,2001,Dengue,Bacterial,9.04,5.3,2.9,0-18,Male,754356,50.66,4.86,9.99,Vaccination,29097.0,Yes,57.6,2545.0,6.86,38740.0,0.68,20.28 +89998,Brazil,2011,Rabies,Autoimmune,17.94,10.29,1.13,0-18,Other,401579,99.34,3.21,5.1,Surgery,26442.0,No,83.42,1542.0,2.1,99002.0,0.76,50.07 +90003,Indonesia,2004,Malaria,Infectious,15.7,14.16,2.4,61+,Female,816859,54.07,3.94,5.94,Medication,20864.0,Yes,60.57,1770.0,7.1,16622.0,0.67,21.66 +90011,China,2013,Parkinson's Disease,Metabolic,16.27,14.62,5.11,19-35,Other,668392,94.96,0.63,6.18,Therapy,6718.0,No,55.77,1974.0,5.4,13906.0,0.89,29.94 +90013,Turkey,2013,Tuberculosis,Infectious,5.27,10.32,2.71,61+,Other,110855,80.62,3.3,7.16,Therapy,47780.0,No,93.28,3465.0,8.5,98923.0,0.69,29.05 +90014,Mexico,2023,Rabies,Chronic,9.02,7.49,6.41,61+,Male,260429,83.27,4.51,6.61,Medication,22026.0,Yes,81.18,1847.0,2.95,96759.0,0.74,62.97 +90016,Russia,2011,Dengue,Genetic,3.33,13.01,8.87,61+,Female,90095,53.95,2.13,5.79,Surgery,32683.0,No,85.03,2353.0,3.18,36814.0,0.72,35.11 +90017,Brazil,2017,Asthma,Chronic,12.35,13.55,1.29,61+,Other,787476,91.55,1.31,8.81,Medication,44051.0,Yes,73.84,4841.0,8.84,82712.0,0.58,69.34 +90024,South Africa,2012,Measles,Parasitic,9.34,12.65,6.31,36-60,Male,651849,52.1,2.68,7.53,Medication,2497.0,No,90.98,4620.0,6.48,78428.0,0.74,84.13 +90026,Australia,2021,Malaria,Metabolic,0.22,13.74,9.29,61+,Male,657284,70.36,1.66,4.68,Therapy,11681.0,Yes,93.58,3576.0,5.06,4191.0,0.73,83.69 +90030,Germany,2021,Parkinson's Disease,Autoimmune,14.87,1.23,5.87,61+,Other,150890,88.05,4.58,2.7,Surgery,42323.0,Yes,96.81,2357.0,6.77,78449.0,0.75,27.99 +90034,Italy,2022,Ebola,Autoimmune,6.22,7.1,6.34,0-18,Other,748008,69.79,4.55,0.55,Medication,9453.0,Yes,61.55,524.0,3.28,926.0,0.59,76.16 +90054,Argentina,2021,Ebola,Infectious,18.13,0.58,7.46,19-35,Other,853849,82.04,1.31,6.63,Medication,21886.0,Yes,65.28,4863.0,2.0,71709.0,0.74,49.92 +90055,Brazil,2018,Influenza,Respiratory,13.13,2.11,3.24,19-35,Other,346951,58.57,2.24,7.04,Therapy,43106.0,Yes,63.45,3476.0,7.97,71750.0,0.58,40.89 +90064,Italy,2016,Hypertension,Respiratory,2.42,5.46,2.22,0-18,Female,407148,86.07,1.62,0.65,Medication,48689.0,No,65.13,158.0,2.36,33564.0,0.75,85.22 +90072,South Africa,2016,Asthma,Respiratory,9.66,11.16,2.1,36-60,Female,968378,64.76,1.07,9.75,Therapy,40827.0,No,92.96,539.0,8.7,96943.0,0.78,26.75 +90078,India,2001,Measles,Metabolic,9.58,8.57,9.66,36-60,Male,516203,76.26,0.5,2.93,Surgery,21319.0,Yes,88.28,4178.0,0.26,2168.0,0.74,44.97 +90079,South Africa,2008,Influenza,Neurological,16.22,1.94,1.9,19-35,Male,384477,52.0,3.96,1.47,Medication,5204.0,No,66.73,2382.0,2.18,98595.0,0.61,22.35 +90091,Australia,2024,Hypertension,Cardiovascular,10.26,13.24,7.87,36-60,Male,942127,92.54,1.7,5.71,Medication,32885.0,Yes,80.04,3153.0,6.83,49171.0,0.76,61.75 +90104,UK,2018,Cancer,Neurological,12.4,9.73,1.98,19-35,Other,987276,62.92,2.7,4.33,Vaccination,6112.0,Yes,52.89,2650.0,1.86,68346.0,0.46,56.03 +90117,Indonesia,2010,Ebola,Autoimmune,13.93,14.36,2.54,36-60,Female,811559,61.16,3.0,9.66,Medication,17496.0,Yes,91.62,1376.0,7.16,37411.0,0.62,41.9 +90123,Brazil,2006,COVID-19,Autoimmune,19.04,10.09,0.17,36-60,Female,841033,54.12,2.57,2.95,Medication,38936.0,Yes,72.74,904.0,9.18,74073.0,0.85,77.17 +90129,Russia,2006,Hepatitis,Neurological,15.93,5.44,6.55,0-18,Female,767058,74.1,0.96,7.91,Medication,27157.0,Yes,75.22,713.0,5.52,12754.0,0.74,76.26 +90135,Mexico,2003,Ebola,Bacterial,5.9,13.44,2.05,36-60,Other,791375,68.48,1.49,1.09,Surgery,12719.0,No,91.14,378.0,5.2,32608.0,0.5,82.63 +90136,Argentina,2018,Tuberculosis,Neurological,2.33,4.98,9.31,0-18,Male,26485,62.56,3.7,3.54,Surgery,6490.0,No,95.76,1301.0,8.38,40294.0,0.9,28.42 +90143,India,2005,Dengue,Neurological,14.55,1.17,3.88,0-18,Other,117508,77.55,4.31,8.17,Vaccination,27348.0,No,86.28,1455.0,5.5,66360.0,0.62,44.69 +90150,Mexico,2011,Polio,Chronic,17.33,12.0,0.4,19-35,Female,34855,94.12,1.68,4.41,Surgery,4739.0,Yes,75.12,1993.0,5.52,89686.0,0.6,69.53 +90153,Turkey,2002,Diabetes,Bacterial,14.91,2.91,0.97,61+,Other,324799,85.1,3.2,8.75,Therapy,21232.0,Yes,85.27,101.0,3.63,85231.0,0.86,77.5 +90157,South Africa,2015,Polio,Autoimmune,13.21,0.8,9.6,36-60,Female,863607,55.46,2.96,2.84,Therapy,46643.0,No,87.99,3582.0,5.17,49205.0,0.66,68.18 +90161,China,2012,COVID-19,Infectious,8.87,4.61,4.4,36-60,Male,654016,67.98,3.48,3.79,Medication,48109.0,No,55.07,1547.0,9.44,59745.0,0.5,82.21 +90164,South Korea,2004,Parkinson's Disease,Parasitic,11.28,3.63,5.19,19-35,Male,493252,82.94,2.85,2.69,Vaccination,25203.0,No,92.9,11.0,6.88,56021.0,0.76,42.62 +90174,UK,2018,Rabies,Bacterial,16.53,6.09,9.1,0-18,Other,999249,56.11,2.65,4.04,Surgery,1100.0,Yes,98.67,3053.0,8.53,4585.0,0.86,45.05 +90195,Turkey,2011,Influenza,Autoimmune,13.19,8.76,2.38,61+,Female,978834,68.08,1.24,5.85,Surgery,39504.0,No,85.21,550.0,7.6,48859.0,0.81,74.37 +90199,Mexico,2004,Malaria,Parasitic,12.82,10.78,5.7,0-18,Male,140393,53.72,4.3,5.35,Vaccination,11385.0,No,60.34,4423.0,3.63,1817.0,0.68,26.29 +90213,Canada,2018,Malaria,Bacterial,14.72,6.17,4.82,19-35,Other,118678,97.52,4.49,3.93,Surgery,31769.0,Yes,92.32,455.0,3.44,87310.0,0.51,21.48 +90233,Nigeria,2005,Rabies,Metabolic,6.01,12.65,1.05,36-60,Other,597088,52.66,3.8,4.38,Surgery,32922.0,No,58.86,4364.0,7.87,87645.0,0.67,87.2 +90235,Japan,2011,Leprosy,Parasitic,10.72,1.76,9.94,19-35,Female,736454,78.29,4.27,2.71,Surgery,2172.0,Yes,65.39,4347.0,4.27,36976.0,0.86,69.15 +90236,Saudi Arabia,2016,Leprosy,Infectious,12.43,12.5,6.67,61+,Male,412656,88.54,4.15,1.1,Vaccination,44631.0,Yes,92.15,3281.0,8.42,86557.0,0.42,38.04 +90239,Japan,2022,Ebola,Bacterial,9.91,9.65,1.19,0-18,Male,363390,67.25,0.58,5.33,Vaccination,1349.0,No,72.93,1972.0,2.91,95561.0,0.7,30.48 +90262,Nigeria,2018,Hypertension,Infectious,13.98,3.97,3.64,19-35,Male,555465,95.13,0.64,5.89,Medication,44091.0,Yes,80.02,2506.0,6.9,49739.0,0.57,60.66 +90277,Australia,2017,Ebola,Autoimmune,19.12,2.45,2.79,0-18,Male,983902,93.91,1.11,1.06,Surgery,8481.0,Yes,75.36,3918.0,6.23,99634.0,0.56,30.69 +90278,China,2013,Alzheimer's Disease,Metabolic,3.13,0.39,2.74,61+,Male,122356,67.4,3.01,7.15,Surgery,48026.0,No,98.05,1806.0,8.44,41104.0,0.89,79.92 +90287,Russia,2014,Ebola,Viral,9.67,14.54,8.61,19-35,Male,205921,87.58,4.8,6.05,Vaccination,8770.0,No,91.57,348.0,0.59,56303.0,0.84,64.57 +90291,Japan,2024,Zika,Bacterial,0.95,8.13,1.42,61+,Female,878304,82.49,2.15,6.55,Therapy,25235.0,No,79.64,282.0,8.79,33014.0,0.77,67.5 +90293,Canada,2005,Hypertension,Viral,4.39,10.0,4.46,61+,Other,862253,74.99,3.76,8.0,Medication,9962.0,No,54.38,3139.0,9.09,76004.0,0.56,65.14 +90300,South Korea,2016,Ebola,Chronic,18.67,12.48,9.89,19-35,Female,208500,61.43,2.32,3.41,Therapy,41236.0,No,67.62,885.0,6.24,61520.0,0.56,51.64 +90309,USA,2021,Cholera,Metabolic,13.14,3.6,7.01,36-60,Female,959874,97.19,0.73,6.6,Therapy,38560.0,No,87.5,2307.0,0.46,32096.0,0.68,76.22 +90311,Italy,2020,Hepatitis,Viral,0.31,10.7,5.11,61+,Other,118301,98.38,1.06,1.01,Vaccination,22666.0,No,94.98,587.0,4.77,68284.0,0.75,88.67 +90314,Germany,2019,Measles,Infectious,6.29,3.93,5.76,36-60,Other,354671,51.24,1.0,5.2,Vaccination,3627.0,No,68.51,1423.0,3.43,29844.0,0.55,54.43 +90315,Indonesia,2015,Leprosy,Parasitic,6.6,2.3,8.66,0-18,Female,520317,66.64,1.81,1.96,Vaccination,46698.0,Yes,86.94,1565.0,9.15,40276.0,0.52,69.78 +90325,Germany,2013,COVID-19,Respiratory,17.12,13.28,5.43,0-18,Male,645566,83.86,4.89,8.43,Vaccination,45104.0,Yes,64.62,4963.0,0.34,62973.0,0.46,77.84 +90328,Indonesia,2014,Hepatitis,Neurological,3.07,6.14,5.07,36-60,Male,873490,57.67,1.77,4.69,Surgery,42980.0,No,54.61,3764.0,7.38,15257.0,0.76,49.11 +90329,Russia,2014,Malaria,Infectious,3.96,10.39,7.48,36-60,Other,725928,86.83,1.64,3.08,Therapy,19036.0,Yes,80.92,4781.0,4.37,13202.0,0.53,66.58 +90330,Saudi Arabia,2021,Hypertension,Infectious,10.43,14.54,1.69,0-18,Other,860755,93.61,4.18,3.73,Medication,32971.0,Yes,81.77,4934.0,1.5,37417.0,0.77,43.87 +90337,Indonesia,2004,Influenza,Respiratory,9.25,13.43,0.34,61+,Male,303683,81.47,3.01,2.68,Therapy,9086.0,No,95.97,1626.0,2.38,13037.0,0.84,45.86 +90338,UK,2024,Parkinson's Disease,Metabolic,18.99,14.95,2.21,19-35,Male,172140,56.17,3.92,4.91,Vaccination,26574.0,Yes,92.76,3336.0,5.46,82333.0,0.57,78.52 +90339,Argentina,2009,Parkinson's Disease,Bacterial,14.59,9.62,3.19,36-60,Other,775954,70.36,1.8,6.45,Surgery,16226.0,No,89.76,3766.0,3.96,93363.0,0.68,40.89 +90341,South Korea,2020,Ebola,Infectious,13.17,7.51,7.88,0-18,Female,650934,82.86,3.69,6.93,Surgery,3469.0,Yes,75.36,4452.0,4.05,29448.0,0.55,87.59 +90352,Russia,2013,Parkinson's Disease,Chronic,18.14,1.2,0.7,36-60,Female,664109,80.58,1.66,6.04,Vaccination,2440.0,No,54.61,2913.0,4.33,39387.0,0.5,68.79 +90353,Russia,2013,Dengue,Respiratory,19.71,10.22,7.72,61+,Other,759484,51.83,0.59,3.92,Medication,16278.0,Yes,67.0,3980.0,5.22,68004.0,0.63,59.3 +90358,USA,2000,Hepatitis,Infectious,3.4,6.25,7.09,19-35,Other,466494,52.79,1.73,7.01,Vaccination,23389.0,Yes,71.46,1096.0,5.21,57794.0,0.5,68.24 +90360,Nigeria,2018,Tuberculosis,Bacterial,2.21,12.37,4.65,19-35,Male,842663,87.2,3.41,7.78,Medication,27660.0,Yes,81.33,808.0,6.67,16086.0,0.71,23.44 +90369,UK,2004,Cancer,Bacterial,9.59,10.79,5.06,0-18,Other,717808,52.77,4.36,0.71,Surgery,7429.0,No,75.0,256.0,0.61,81385.0,0.84,31.64 +90371,South Africa,2007,Polio,Respiratory,17.54,9.09,8.91,0-18,Female,71103,94.5,4.76,8.27,Surgery,23492.0,Yes,92.04,2222.0,4.92,83893.0,0.41,69.12 +90373,Japan,2011,Tuberculosis,Metabolic,5.11,3.24,7.77,19-35,Other,587324,59.58,0.94,1.64,Therapy,25792.0,No,88.8,1318.0,4.13,95395.0,0.69,31.92 +90374,Nigeria,2014,Parkinson's Disease,Respiratory,16.6,2.34,7.11,61+,Male,676792,87.88,1.67,2.94,Vaccination,46558.0,No,78.84,3664.0,9.46,60227.0,0.55,54.47 +90376,Canada,2021,COVID-19,Genetic,3.32,9.36,7.28,36-60,Other,886095,59.68,2.57,5.9,Medication,4649.0,No,83.34,3928.0,7.36,72324.0,0.62,85.06 +90401,Nigeria,2006,Parkinson's Disease,Parasitic,19.78,7.94,3.71,61+,Other,547537,72.63,4.56,4.55,Medication,11320.0,Yes,57.2,4583.0,5.29,33823.0,0.63,65.66 +90402,South Korea,2020,Parkinson's Disease,Metabolic,19.36,2.34,3.07,0-18,Female,938373,63.87,0.62,9.77,Therapy,49653.0,Yes,83.82,897.0,3.97,14289.0,0.73,32.37 +90407,UK,2008,Parkinson's Disease,Respiratory,13.93,2.99,0.65,36-60,Male,744362,71.17,2.88,2.13,Vaccination,24908.0,No,68.29,4941.0,3.83,19842.0,0.48,68.63 +90409,South Africa,2003,Dengue,Metabolic,15.46,11.42,5.14,61+,Female,88856,90.91,4.85,6.03,Surgery,7464.0,No,51.7,2379.0,5.19,19213.0,0.67,66.27 +90410,Russia,2020,Influenza,Genetic,9.12,4.27,1.98,61+,Other,187280,91.94,2.22,8.66,Therapy,31527.0,Yes,86.25,4893.0,8.94,59934.0,0.76,67.41 +90414,South Korea,2006,Cancer,Neurological,6.66,1.48,6.92,19-35,Male,58011,76.74,2.49,3.64,Surgery,26955.0,No,96.01,2800.0,1.0,31752.0,0.87,83.76 +90425,Mexico,2007,Polio,Parasitic,8.51,3.51,5.61,36-60,Male,840282,57.01,1.28,7.22,Surgery,2361.0,Yes,81.21,116.0,8.74,80570.0,0.54,28.37 +90432,Australia,2009,Alzheimer's Disease,Parasitic,15.56,14.21,8.52,19-35,Male,449381,68.71,0.85,9.28,Therapy,23261.0,No,98.48,245.0,1.43,38775.0,0.62,46.02 +90433,Turkey,2019,Zika,Neurological,11.66,5.21,9.9,19-35,Female,778813,80.65,2.22,9.18,Vaccination,42536.0,Yes,64.86,1806.0,8.44,81021.0,0.47,84.76 +90434,Indonesia,2005,COVID-19,Respiratory,5.01,9.14,5.12,19-35,Female,409818,99.62,3.25,5.79,Vaccination,16926.0,No,70.93,1580.0,5.14,95726.0,0.49,37.78 +90442,China,2001,Hepatitis,Neurological,19.61,11.23,2.94,0-18,Other,124842,78.34,3.0,9.52,Surgery,20966.0,Yes,92.61,246.0,8.7,39638.0,0.84,87.08 +90443,Australia,2022,Hypertension,Neurological,13.22,12.77,3.37,19-35,Male,198251,59.79,4.18,6.72,Vaccination,27715.0,Yes,59.17,2885.0,0.26,80621.0,0.59,33.21 +90444,UK,2022,Cholera,Infectious,0.43,13.6,0.31,61+,Female,83700,66.57,4.58,1.1,Therapy,36450.0,Yes,86.74,3149.0,3.1,91891.0,0.53,75.63 +90449,South Korea,2005,Cholera,Genetic,1.95,0.52,3.58,36-60,Female,770648,91.08,0.61,9.94,Medication,12722.0,No,77.72,4692.0,4.52,44759.0,0.44,21.98 +90456,Italy,2004,Polio,Chronic,13.64,6.82,4.66,19-35,Other,116931,75.79,3.05,7.89,Medication,31085.0,Yes,83.23,2507.0,8.0,99318.0,0.43,50.5 +90457,Saudi Arabia,2013,Measles,Metabolic,4.69,14.74,3.31,19-35,Male,473552,94.12,1.14,8.61,Surgery,14277.0,Yes,78.35,1851.0,3.85,88398.0,0.74,48.74 +90465,South Korea,2015,Leprosy,Infectious,7.55,3.92,7.52,36-60,Female,964535,94.76,1.94,3.91,Therapy,10875.0,Yes,68.7,2173.0,1.33,9538.0,0.84,63.82 +90485,USA,2011,Leprosy,Parasitic,5.25,14.43,5.83,61+,Female,118464,85.75,2.25,8.16,Therapy,4139.0,Yes,69.35,491.0,5.34,6118.0,0.85,30.58 +90498,USA,2011,Ebola,Respiratory,17.21,14.43,1.65,19-35,Female,771833,51.93,4.11,1.86,Therapy,29157.0,No,59.22,1323.0,1.59,94149.0,0.56,89.72 +90500,South Korea,2024,Dengue,Viral,10.05,1.33,9.7,19-35,Other,255670,63.21,2.48,7.46,Vaccination,9646.0,No,79.15,912.0,4.75,1048.0,0.41,59.09 +90503,Argentina,2022,Diabetes,Neurological,3.39,7.89,3.64,0-18,Female,202100,75.45,1.92,7.98,Vaccination,17848.0,Yes,61.92,519.0,2.54,46102.0,0.87,42.04 +90509,USA,2022,Diabetes,Metabolic,6.17,14.58,9.41,19-35,Other,148577,82.3,2.95,2.43,Therapy,5369.0,Yes,90.46,4797.0,8.8,31922.0,0.69,29.32 +90512,Indonesia,2009,Rabies,Chronic,14.58,9.08,4.27,0-18,Male,217200,71.58,1.6,6.93,Vaccination,22848.0,Yes,80.2,2236.0,8.35,68674.0,0.63,21.66 +90516,Mexico,2018,Dengue,Bacterial,7.9,11.62,4.71,19-35,Other,697594,85.56,1.66,8.74,Vaccination,23180.0,Yes,89.28,2501.0,8.33,1277.0,0.47,72.91 +90524,Nigeria,2000,Measles,Neurological,9.7,8.76,6.2,36-60,Female,892413,65.12,3.49,7.99,Vaccination,27191.0,Yes,95.95,1032.0,8.22,52214.0,0.63,39.98 +90531,Australia,2023,Dengue,Metabolic,0.52,2.42,1.55,61+,Female,68544,69.35,3.4,6.75,Medication,10668.0,No,60.18,1148.0,2.38,79934.0,0.46,38.68 +90532,Canada,2021,Influenza,Infectious,2.89,12.69,6.69,19-35,Male,602449,66.8,3.19,7.7,Surgery,43332.0,Yes,52.82,3004.0,2.59,52064.0,0.69,82.83 +90537,Mexico,2003,Parkinson's Disease,Respiratory,3.89,11.09,6.65,61+,Male,557926,58.26,4.63,5.33,Surgery,36623.0,Yes,73.7,4018.0,4.03,53259.0,0.71,35.52 +90540,UK,2013,Diabetes,Neurological,5.78,11.91,5.58,36-60,Female,839367,97.12,3.89,7.31,Surgery,15148.0,Yes,80.67,4221.0,9.31,94410.0,0.71,32.95 +90562,Japan,2019,Alzheimer's Disease,Metabolic,19.69,13.28,1.64,36-60,Other,556584,80.73,2.03,8.99,Surgery,8561.0,Yes,86.05,1492.0,4.69,72052.0,0.74,56.32 +90570,China,2017,Hepatitis,Bacterial,4.43,0.77,7.13,61+,Male,308848,59.72,4.47,4.23,Vaccination,6247.0,Yes,60.0,2545.0,3.98,81512.0,0.44,49.22 +90575,France,2024,Rabies,Metabolic,16.52,7.96,4.56,0-18,Other,496844,55.36,4.22,5.37,Vaccination,5062.0,No,92.33,4791.0,0.54,84836.0,0.49,29.94 +90580,Canada,2014,Diabetes,Infectious,0.36,9.59,2.95,19-35,Female,474810,58.2,4.96,7.77,Therapy,35749.0,No,54.03,2241.0,3.89,60524.0,0.48,80.26 +90581,UK,2020,Hypertension,Parasitic,12.9,14.58,3.19,61+,Other,900151,58.18,2.87,2.61,Vaccination,20154.0,Yes,52.52,1900.0,9.84,27985.0,0.78,36.47 +90584,Indonesia,2011,Hepatitis,Infectious,4.65,12.21,3.22,61+,Male,356588,63.37,3.42,1.18,Medication,24572.0,No,84.66,588.0,2.76,27086.0,0.75,67.32 +90591,Italy,2007,COVID-19,Chronic,1.62,10.49,3.65,36-60,Male,308650,85.06,4.04,3.67,Medication,14350.0,Yes,64.57,4883.0,7.76,89166.0,0.61,76.24 +90593,Argentina,2013,Polio,Autoimmune,14.66,2.19,4.26,61+,Female,399930,95.58,2.24,2.29,Medication,30558.0,Yes,91.88,1806.0,1.65,15782.0,0.64,77.66 +90599,South Korea,2002,Alzheimer's Disease,Autoimmune,10.49,3.57,7.36,19-35,Male,543437,69.6,4.03,3.04,Surgery,37750.0,Yes,52.21,4021.0,1.56,8592.0,0.76,33.19 +90602,Nigeria,2005,Diabetes,Autoimmune,5.79,0.83,4.89,36-60,Other,648208,81.47,2.92,5.54,Medication,16321.0,Yes,70.14,738.0,9.5,61794.0,0.73,62.13 +90613,Argentina,2011,HIV/AIDS,Viral,2.8,6.99,3.51,0-18,Other,193880,89.68,3.65,3.71,Vaccination,34771.0,Yes,91.93,3916.0,8.36,64455.0,0.56,67.62 +90615,Australia,2010,Rabies,Chronic,18.36,3.49,8.33,19-35,Other,441000,70.96,3.46,2.74,Medication,27937.0,Yes,93.59,26.0,9.27,46697.0,0.55,83.69 +90626,India,2021,Malaria,Neurological,3.3,2.85,8.0,19-35,Female,332139,76.22,0.87,6.45,Medication,47548.0,Yes,82.74,4945.0,3.45,50908.0,0.83,72.38 +90630,Indonesia,2002,Parkinson's Disease,Neurological,15.38,11.48,6.15,0-18,Male,610796,97.36,2.31,1.76,Therapy,27745.0,No,53.33,3575.0,2.09,90852.0,0.47,25.04 +90632,Turkey,2015,Tuberculosis,Autoimmune,13.67,5.33,0.21,19-35,Male,268387,59.47,0.68,9.16,Surgery,41382.0,Yes,87.21,4487.0,7.97,38350.0,0.87,42.4 +90635,India,2011,Malaria,Autoimmune,19.79,3.86,8.79,19-35,Other,851305,55.9,3.85,9.18,Surgery,12985.0,No,84.08,3862.0,2.1,84678.0,0.43,68.01 +90636,Nigeria,2004,COVID-19,Chronic,15.78,10.8,9.44,19-35,Male,748062,78.59,2.19,9.83,Vaccination,984.0,No,83.46,261.0,8.86,36331.0,0.75,49.91 +90637,Mexico,2018,Diabetes,Respiratory,11.71,14.06,6.0,0-18,Male,274783,79.58,1.75,6.3,Vaccination,28520.0,Yes,75.97,1051.0,3.69,52064.0,0.42,26.49 +90641,UK,2008,Cholera,Autoimmune,17.55,3.72,7.53,61+,Female,107388,93.97,4.51,8.9,Vaccination,39900.0,No,52.12,1629.0,4.28,59324.0,0.49,33.08 +90645,Mexico,2006,Measles,Viral,2.69,3.78,0.15,0-18,Male,498604,97.58,4.47,4.82,Medication,3894.0,Yes,84.51,34.0,6.06,78769.0,0.89,50.98 +90654,Nigeria,2007,Rabies,Infectious,8.84,6.64,2.32,0-18,Female,245222,79.47,4.31,2.6,Vaccination,20650.0,Yes,74.09,3119.0,8.14,4522.0,0.68,24.15 +90657,Nigeria,2006,Influenza,Respiratory,9.2,1.49,6.81,36-60,Other,827988,77.6,1.78,2.72,Surgery,1684.0,Yes,87.17,84.0,6.23,89330.0,0.56,79.29 +90659,Italy,2018,Ebola,Genetic,4.6,10.03,9.97,19-35,Male,982670,53.97,0.67,5.48,Vaccination,23848.0,Yes,88.1,4915.0,9.08,81066.0,0.5,61.54 +90663,Indonesia,2001,Cancer,Parasitic,12.38,0.57,4.18,36-60,Male,944883,82.28,1.04,4.9,Surgery,47557.0,No,87.06,1041.0,1.8,71102.0,0.51,37.29 +90670,Mexico,2000,Cholera,Parasitic,2.59,12.95,8.47,36-60,Female,764923,54.99,3.06,5.66,Surgery,12907.0,Yes,64.81,4080.0,0.25,67730.0,0.71,71.96 +90676,Argentina,2008,Hepatitis,Respiratory,13.66,10.72,5.1,0-18,Female,145948,82.0,3.11,6.45,Vaccination,39265.0,No,74.27,1106.0,3.73,20287.0,0.86,44.71 +90681,India,2024,HIV/AIDS,Metabolic,6.58,5.43,4.47,0-18,Male,450255,98.78,3.51,8.41,Surgery,17740.0,Yes,96.57,1079.0,1.01,79375.0,0.8,58.36 +90686,South Africa,2017,Ebola,Genetic,3.01,10.19,2.87,19-35,Male,830729,54.08,3.15,4.73,Vaccination,29020.0,Yes,80.72,4939.0,9.22,68958.0,0.46,25.81 +90688,USA,2015,Malaria,Autoimmune,2.62,2.69,5.48,19-35,Other,390776,99.93,3.25,6.6,Therapy,49880.0,Yes,84.63,1197.0,8.52,87810.0,0.65,57.09 +90698,Mexico,2004,Asthma,Metabolic,19.64,1.79,7.18,36-60,Male,816089,69.57,3.93,5.49,Surgery,8633.0,No,95.25,4476.0,5.22,14921.0,0.7,41.49 +90709,Saudi Arabia,2019,Ebola,Cardiovascular,17.54,14.0,1.04,19-35,Other,499957,99.02,4.83,4.85,Surgery,41918.0,Yes,60.54,491.0,4.48,70175.0,0.71,35.56 +90711,France,2020,COVID-19,Viral,7.28,0.35,3.55,19-35,Male,26171,84.21,3.84,9.48,Therapy,39646.0,Yes,86.18,2960.0,7.16,76247.0,0.49,58.44 +90713,USA,2014,HIV/AIDS,Metabolic,1.9,9.1,5.08,61+,Other,647557,69.33,1.64,1.2,Vaccination,10709.0,Yes,83.93,1824.0,8.11,71595.0,0.74,57.25 +90715,Russia,2010,Diabetes,Viral,16.85,8.75,6.77,61+,Female,64141,54.22,4.39,6.93,Vaccination,22883.0,No,60.38,2405.0,3.24,88411.0,0.72,82.18 +90739,Italy,2015,Polio,Genetic,13.06,2.35,3.52,0-18,Other,138758,75.3,4.95,3.89,Medication,23617.0,Yes,82.95,399.0,9.19,79157.0,0.53,86.31 +90742,Indonesia,2019,Measles,Neurological,16.73,7.47,7.57,19-35,Other,179932,85.98,2.32,3.72,Vaccination,3895.0,No,78.33,3074.0,6.15,25493.0,0.67,43.65 +90743,USA,2000,Polio,Viral,13.0,13.51,2.2,0-18,Female,464058,77.25,4.55,1.38,Medication,34938.0,Yes,67.97,1587.0,5.66,98140.0,0.74,52.2 +90748,Turkey,2015,Parkinson's Disease,Cardiovascular,13.83,1.7,1.2,61+,Male,699462,94.78,1.24,5.77,Vaccination,48275.0,No,81.76,4727.0,9.03,12737.0,0.68,71.92 +90749,Saudi Arabia,2023,Leprosy,Cardiovascular,16.99,5.47,0.71,0-18,Other,161515,57.4,4.21,8.62,Medication,37596.0,No,63.25,3167.0,9.4,74350.0,0.59,89.93 +90755,Russia,2024,Parkinson's Disease,Respiratory,11.09,6.06,0.54,61+,Female,295252,95.35,4.25,9.12,Vaccination,47046.0,Yes,77.26,364.0,3.49,20367.0,0.57,20.19 +90763,Brazil,2004,Zika,Viral,8.59,10.88,6.26,0-18,Female,46711,96.13,3.27,7.9,Medication,28379.0,Yes,72.91,1107.0,9.85,30404.0,0.75,34.57 +90764,Mexico,2008,Dengue,Parasitic,2.44,1.47,1.17,0-18,Female,89265,86.37,0.73,8.66,Vaccination,24944.0,Yes,74.09,4805.0,3.05,81393.0,0.72,22.59 +90768,Indonesia,2010,Ebola,Bacterial,1.4,12.78,7.7,61+,Female,239151,54.43,2.01,3.19,Medication,8212.0,No,92.18,2384.0,5.78,29023.0,0.88,48.35 +90775,USA,2004,HIV/AIDS,Cardiovascular,11.81,14.02,0.21,61+,Female,673753,82.81,4.52,3.18,Therapy,32615.0,Yes,50.9,2526.0,4.29,60575.0,0.6,78.04 +90776,China,2014,Cancer,Neurological,13.48,2.25,6.09,19-35,Female,554984,88.89,1.26,8.07,Therapy,45003.0,Yes,94.93,4047.0,7.63,42034.0,0.49,60.58 +90777,Argentina,2003,Malaria,Infectious,16.4,5.91,8.14,36-60,Male,693335,70.32,4.42,8.69,Medication,12838.0,Yes,98.95,1270.0,9.38,75762.0,0.46,60.62 +90782,Argentina,2023,Parkinson's Disease,Respiratory,15.29,8.06,5.45,19-35,Other,734302,92.85,1.59,4.55,Medication,15343.0,Yes,81.4,4661.0,5.41,46756.0,0.47,66.04 +90786,UK,2023,Alzheimer's Disease,Infectious,11.42,2.94,8.51,19-35,Male,860991,81.47,2.27,8.76,Surgery,44653.0,Yes,90.97,451.0,5.84,6163.0,0.71,50.49 +90788,UK,2009,Measles,Chronic,15.19,10.93,0.47,61+,Female,274253,57.6,3.11,1.39,Therapy,11163.0,Yes,59.64,1289.0,8.09,93528.0,0.75,35.35 +90795,South Korea,2008,COVID-19,Parasitic,13.54,13.69,5.78,36-60,Female,125984,70.08,3.39,6.76,Medication,1973.0,No,96.4,680.0,3.46,32491.0,0.78,69.72 +90810,UK,2023,HIV/AIDS,Viral,12.19,8.49,2.68,19-35,Female,684816,72.32,1.07,3.04,Therapy,44547.0,Yes,90.73,3735.0,7.61,91552.0,0.89,67.83 +90817,UK,2022,Parkinson's Disease,Bacterial,9.33,7.16,4.37,0-18,Male,783660,71.96,3.11,6.18,Therapy,26271.0,Yes,85.67,4293.0,5.37,79652.0,0.75,23.66 +90820,Canada,2022,Dengue,Cardiovascular,6.26,13.89,8.51,19-35,Female,114203,65.79,2.37,9.85,Medication,3031.0,No,95.74,4719.0,6.72,68554.0,0.72,83.34 +90827,China,2013,Leprosy,Genetic,1.77,8.79,7.78,19-35,Male,212447,72.0,1.79,9.29,Therapy,45614.0,No,79.8,3955.0,0.07,71331.0,0.63,32.95 +90829,USA,2009,Diabetes,Neurological,6.23,4.28,8.55,61+,Male,157895,68.53,1.92,4.1,Vaccination,34379.0,No,62.72,3962.0,0.15,64022.0,0.73,76.9 +90831,Canada,2006,COVID-19,Infectious,15.93,5.22,1.45,61+,Other,691584,79.87,4.43,9.45,Vaccination,24772.0,No,55.25,4816.0,4.83,59985.0,0.44,61.91 +90835,Russia,2015,Ebola,Cardiovascular,14.76,13.08,0.22,36-60,Male,345247,72.84,2.42,1.66,Surgery,30120.0,Yes,61.54,4117.0,8.02,96098.0,0.83,34.5 +90845,Japan,2010,Cancer,Genetic,1.59,0.25,4.07,36-60,Female,994764,79.7,2.41,1.69,Vaccination,45299.0,Yes,77.03,753.0,6.32,9552.0,0.79,71.2 +90848,South Korea,2001,Alzheimer's Disease,Viral,17.51,5.84,3.12,36-60,Female,194817,73.95,1.1,8.85,Surgery,48940.0,No,57.14,4058.0,0.93,84654.0,0.55,47.26 +90849,Brazil,2018,Hypertension,Viral,9.54,0.63,9.75,36-60,Female,535167,77.37,4.01,4.1,Medication,43776.0,Yes,65.38,4748.0,2.97,8653.0,0.58,48.43 +90850,Saudi Arabia,2006,Ebola,Viral,5.12,8.67,7.73,0-18,Other,353542,54.57,1.24,4.62,Therapy,38265.0,Yes,94.74,2035.0,2.92,68652.0,0.78,57.5 +90865,China,2004,Diabetes,Infectious,16.48,3.77,6.63,0-18,Male,948888,89.55,1.18,5.48,Therapy,47620.0,Yes,65.91,2518.0,0.51,49438.0,0.5,59.39 +90866,France,2009,Dengue,Viral,5.68,3.38,8.53,61+,Other,173088,85.07,1.3,6.42,Vaccination,7113.0,No,62.85,513.0,0.16,15097.0,0.81,20.3 +90867,Germany,2021,Leprosy,Autoimmune,6.96,11.45,3.13,0-18,Male,400883,85.91,2.54,2.31,Medication,22985.0,Yes,82.01,269.0,1.73,16093.0,0.68,76.27 +90868,Australia,2008,Diabetes,Chronic,5.33,3.63,1.49,61+,Female,148770,67.14,4.42,5.08,Surgery,40314.0,Yes,73.78,3134.0,1.36,7055.0,0.5,65.93 +90872,South Africa,2010,Alzheimer's Disease,Neurological,12.57,8.55,0.37,61+,Male,603378,66.37,1.19,3.98,Therapy,15640.0,No,74.22,2838.0,5.03,33149.0,0.9,48.03 +90879,France,2002,Rabies,Infectious,5.38,4.72,3.88,0-18,Female,50168,52.72,2.89,5.86,Medication,36530.0,Yes,79.87,2956.0,1.94,18399.0,0.9,34.83 +90884,USA,2020,Alzheimer's Disease,Autoimmune,11.64,13.49,5.98,19-35,Male,590070,88.74,4.31,6.77,Medication,266.0,No,66.05,3414.0,8.82,45759.0,0.87,23.95 +90887,China,2012,Rabies,Cardiovascular,2.1,14.76,9.89,19-35,Male,539158,56.85,3.78,6.41,Surgery,39075.0,No,94.34,713.0,6.52,69467.0,0.86,63.61 +90890,USA,2015,Hypertension,Respiratory,12.25,3.77,2.27,0-18,Other,959792,78.25,3.31,8.33,Surgery,10088.0,Yes,86.22,1971.0,1.01,92310.0,0.55,60.69 +90895,Turkey,2013,Hepatitis,Neurological,5.18,5.13,5.27,0-18,Male,610073,72.02,0.64,6.87,Medication,43248.0,No,66.48,1028.0,3.27,86643.0,0.66,83.4 +90899,Saudi Arabia,2022,Leprosy,Cardiovascular,10.8,4.03,7.51,36-60,Female,689226,91.41,3.87,9.75,Surgery,42523.0,Yes,81.89,3818.0,4.85,69974.0,0.41,81.83 +90908,Brazil,2005,Cancer,Neurological,5.82,13.75,2.37,19-35,Male,836912,77.56,3.0,4.62,Surgery,44985.0,No,50.19,3506.0,9.43,9670.0,0.53,38.55 +90909,Japan,2018,COVID-19,Neurological,16.46,14.63,8.77,61+,Female,944057,99.53,3.38,6.7,Therapy,16841.0,No,94.64,956.0,2.07,9223.0,0.76,38.46 +90910,Indonesia,2022,Dengue,Cardiovascular,15.46,9.13,7.65,61+,Female,844557,59.38,2.11,7.77,Therapy,23075.0,Yes,94.83,4335.0,3.68,76001.0,0.45,61.62 +90914,Mexico,2013,Influenza,Respiratory,1.46,1.94,5.32,36-60,Male,215507,90.42,3.21,3.29,Medication,6869.0,Yes,59.85,1166.0,0.5,12829.0,0.88,57.55 +90916,South Korea,2014,Parkinson's Disease,Viral,19.82,7.24,4.61,0-18,Other,91180,81.38,3.46,5.69,Therapy,20757.0,Yes,62.55,4420.0,7.57,7766.0,0.61,71.31 +90917,Mexico,2015,Cancer,Cardiovascular,11.31,11.56,2.31,19-35,Other,652347,51.84,4.05,5.6,Vaccination,49749.0,No,93.63,1836.0,4.65,1626.0,0.43,50.39 +90920,Australia,2018,Zika,Viral,5.42,10.96,6.31,0-18,Female,263071,79.92,3.41,7.68,Therapy,47047.0,No,77.12,2710.0,6.8,6835.0,0.63,48.52 +90923,USA,2007,Hypertension,Metabolic,13.46,7.48,4.05,19-35,Other,776327,77.07,3.31,6.52,Medication,30586.0,No,97.17,125.0,3.99,20766.0,0.64,88.63 +90937,Indonesia,2007,Ebola,Infectious,15.19,8.05,8.59,0-18,Other,608539,71.88,2.03,7.58,Vaccination,40765.0,No,67.96,2987.0,7.2,18066.0,0.53,66.39 +90939,South Korea,2016,Parkinson's Disease,Respiratory,13.23,8.89,2.65,0-18,Other,883420,72.0,2.91,7.14,Medication,11807.0,No,76.87,976.0,6.44,47105.0,0.78,39.57 +90948,India,2009,Polio,Parasitic,8.6,5.72,9.21,36-60,Other,488783,61.22,3.44,0.59,Therapy,6321.0,No,76.55,2303.0,7.45,17340.0,0.68,79.81 +90949,USA,2018,COVID-19,Chronic,0.16,4.32,5.22,36-60,Male,758400,51.15,1.71,2.4,Surgery,34426.0,No,90.98,4277.0,4.84,60789.0,0.78,28.01 +90950,USA,2001,Tuberculosis,Metabolic,15.6,13.94,2.46,0-18,Female,250991,82.36,2.48,1.27,Medication,15854.0,Yes,87.9,1152.0,0.76,61027.0,0.65,54.94 +90957,Saudi Arabia,2002,Leprosy,Respiratory,1.25,3.49,2.14,0-18,Male,523988,68.06,3.9,6.42,Therapy,6680.0,Yes,69.19,4543.0,5.84,22038.0,0.6,44.39 +90971,Argentina,2004,Rabies,Respiratory,13.76,2.49,5.46,61+,Other,142263,83.53,1.42,9.61,Vaccination,35185.0,No,82.58,1386.0,9.82,37156.0,0.77,86.26 +90974,UK,2018,Rabies,Cardiovascular,4.93,0.76,3.85,36-60,Female,279728,75.13,0.77,5.09,Vaccination,20121.0,Yes,58.85,1549.0,8.19,83370.0,0.48,46.46 +90992,Nigeria,2009,Cancer,Metabolic,4.31,3.88,3.83,61+,Male,844303,93.41,4.39,3.8,Vaccination,43217.0,Yes,51.65,1644.0,8.83,45771.0,0.86,40.5 +91003,Nigeria,2020,Dengue,Metabolic,17.88,11.44,8.35,19-35,Female,31988,63.87,2.74,7.64,Medication,15349.0,Yes,58.17,3595.0,1.33,90877.0,0.45,55.36 +91004,South Africa,2023,Zika,Infectious,17.59,10.39,1.25,36-60,Other,711171,54.65,1.81,7.3,Vaccination,5852.0,No,72.66,2754.0,7.5,19939.0,0.68,34.43 +91009,Australia,2016,Hypertension,Chronic,15.83,12.49,4.96,61+,Female,30361,68.57,0.69,4.21,Vaccination,23295.0,No,64.54,4692.0,6.59,74037.0,0.76,47.06 +91011,USA,2017,Leprosy,Cardiovascular,11.95,8.04,5.39,61+,Female,388033,68.9,1.4,8.42,Surgery,16273.0,Yes,57.03,2494.0,5.6,30548.0,0.52,23.38 +91019,USA,2003,Measles,Infectious,17.73,4.78,9.84,0-18,Female,405544,61.88,3.93,5.98,Vaccination,37154.0,Yes,78.14,4170.0,5.21,96908.0,0.73,35.31 +91025,USA,2022,Tuberculosis,Genetic,13.31,7.66,4.71,0-18,Female,735356,83.92,0.95,5.4,Medication,22344.0,No,82.76,3987.0,8.55,53789.0,0.77,46.05 +91028,Brazil,2017,Alzheimer's Disease,Neurological,8.8,12.76,7.15,0-18,Male,180129,96.25,4.42,7.06,Surgery,38559.0,No,61.32,225.0,9.74,48843.0,0.62,71.2 +91040,Germany,2015,HIV/AIDS,Bacterial,19.23,4.52,6.58,19-35,Other,21756,86.59,1.65,9.87,Vaccination,41288.0,Yes,50.66,1781.0,3.6,74673.0,0.89,21.12 +91049,China,2000,Zika,Infectious,5.57,8.67,2.48,0-18,Female,324410,71.71,2.24,9.86,Surgery,36114.0,Yes,94.23,3256.0,7.74,56578.0,0.44,30.99 +91053,Mexico,2004,Parkinson's Disease,Neurological,19.58,9.38,5.37,61+,Female,868984,93.02,1.33,4.87,Vaccination,2765.0,No,62.91,352.0,7.52,25753.0,0.78,59.62 +91063,Italy,2012,Zika,Autoimmune,9.51,8.03,6.14,19-35,Male,56848,75.96,3.08,4.57,Medication,26026.0,Yes,56.69,1307.0,6.93,16222.0,0.79,81.82 +91074,Brazil,2022,Diabetes,Autoimmune,7.86,12.95,5.65,0-18,Other,773526,55.95,3.94,2.17,Therapy,7877.0,No,75.4,3771.0,5.9,34694.0,0.48,42.32 +91076,UK,2022,Parkinson's Disease,Chronic,10.9,0.54,2.72,0-18,Female,859135,65.85,3.81,2.41,Medication,24960.0,Yes,72.59,2018.0,1.27,48880.0,0.63,54.47 +91082,Brazil,2003,Measles,Bacterial,4.2,1.57,8.94,0-18,Female,20221,74.38,1.11,8.68,Vaccination,37041.0,No,65.32,4115.0,0.53,72611.0,0.52,83.39 +91088,Indonesia,2020,Polio,Metabolic,15.96,11.31,2.63,36-60,Other,473586,59.04,4.23,5.3,Surgery,45281.0,No,95.87,4361.0,5.92,79157.0,0.55,62.15 +91089,Italy,2009,Diabetes,Genetic,16.43,1.6,4.46,61+,Other,757206,95.65,2.2,9.81,Medication,29108.0,No,54.3,4664.0,3.82,34376.0,0.61,84.6 +91093,USA,2009,Parkinson's Disease,Parasitic,2.95,4.01,7.51,61+,Male,180062,90.57,3.73,6.72,Vaccination,5100.0,No,96.9,4507.0,6.7,75111.0,0.72,35.52 +91094,Saudi Arabia,2012,Alzheimer's Disease,Respiratory,15.21,9.49,4.64,19-35,Female,486220,58.62,4.29,6.62,Medication,38147.0,No,55.62,4099.0,5.53,59555.0,0.53,88.03 +91096,Mexico,2021,Leprosy,Parasitic,19.85,11.94,3.39,0-18,Female,662479,65.29,2.92,5.51,Medication,7175.0,No,94.64,1217.0,5.63,81859.0,0.84,51.93 +91097,Indonesia,2010,Zika,Neurological,10.33,6.12,7.73,0-18,Male,950569,62.53,1.69,0.88,Medication,9253.0,No,90.76,2612.0,1.9,9246.0,0.65,61.13 +91100,Italy,2004,Measles,Parasitic,5.03,11.86,9.61,0-18,Female,138215,69.11,2.77,3.47,Therapy,1229.0,Yes,85.81,3442.0,2.24,76685.0,0.59,67.88 +91101,USA,2009,Measles,Cardiovascular,6.15,4.9,9.05,19-35,Male,188842,79.21,4.35,8.3,Medication,3956.0,Yes,63.17,3890.0,8.8,43414.0,0.41,51.88 +91105,Mexico,2011,Polio,Parasitic,10.28,4.25,4.51,36-60,Other,344710,51.73,1.47,0.75,Vaccination,38085.0,No,51.65,2904.0,0.28,30189.0,0.84,85.88 +91124,Brazil,2019,Cholera,Viral,4.76,7.18,3.2,36-60,Male,702335,91.96,3.58,4.31,Surgery,46474.0,Yes,56.81,2805.0,8.08,29088.0,0.48,34.33 +91126,Argentina,2002,Polio,Respiratory,10.9,6.0,5.33,19-35,Other,694120,79.63,4.52,4.61,Medication,4543.0,Yes,94.17,4409.0,2.6,46208.0,0.62,72.84 +91145,India,2002,Hepatitis,Chronic,7.11,6.86,3.4,61+,Other,824722,50.24,3.6,5.51,Surgery,19130.0,No,70.29,2967.0,2.6,54861.0,0.81,61.39 +91150,Russia,2004,Malaria,Infectious,10.28,3.4,1.75,19-35,Male,517211,67.7,1.31,4.46,Therapy,29240.0,No,83.27,709.0,2.81,45418.0,0.62,74.09 +91167,UK,2017,Measles,Bacterial,2.05,14.69,0.63,36-60,Other,664901,84.35,2.28,8.22,Therapy,31108.0,No,69.36,1012.0,3.96,51257.0,0.81,41.93 +91170,France,2005,Rabies,Neurological,3.46,7.1,2.08,0-18,Female,854290,97.31,3.11,5.97,Therapy,41633.0,Yes,71.19,4209.0,4.41,67918.0,0.68,69.79 +91173,India,2013,HIV/AIDS,Parasitic,2.2,1.95,2.4,0-18,Male,457912,97.98,3.14,1.33,Therapy,19947.0,No,56.59,3891.0,1.74,83565.0,0.79,63.65 +91177,Indonesia,2001,Influenza,Autoimmune,14.07,2.85,4.53,0-18,Other,248590,84.25,3.24,5.96,Medication,4631.0,No,97.81,4662.0,7.58,86167.0,0.73,71.82 +91180,Japan,2018,Parkinson's Disease,Bacterial,18.73,4.8,7.7,36-60,Female,746219,68.93,2.37,9.92,Medication,10010.0,Yes,61.56,2738.0,1.61,9796.0,0.43,51.36 +91189,Russia,2021,Cancer,Respiratory,14.05,3.14,2.19,19-35,Male,834526,69.78,3.52,5.12,Medication,34304.0,Yes,87.97,3708.0,0.69,87351.0,0.88,30.93 +91196,Mexico,2011,Influenza,Viral,16.61,4.77,7.08,36-60,Female,342769,62.53,1.31,4.61,Therapy,26356.0,Yes,85.14,374.0,7.47,55525.0,0.42,23.38 +91199,Saudi Arabia,2016,Asthma,Infectious,2.39,2.04,2.82,61+,Female,865586,54.17,0.84,4.28,Surgery,24518.0,Yes,88.13,1382.0,2.22,66500.0,0.85,71.99 +91202,South Korea,2023,Dengue,Genetic,11.15,2.71,1.23,0-18,Female,129029,87.8,1.41,9.97,Medication,41771.0,Yes,70.91,505.0,0.42,10290.0,0.62,81.11 +91210,France,2022,Hypertension,Chronic,10.46,1.25,8.26,61+,Male,758183,82.64,1.78,9.94,Therapy,49158.0,No,64.56,3520.0,2.39,35111.0,0.58,57.41 +91214,China,2004,Hepatitis,Bacterial,19.46,2.69,0.28,0-18,Other,910886,71.93,4.82,8.25,Vaccination,14828.0,No,63.49,1875.0,0.2,40985.0,0.54,76.15 +91217,Indonesia,2020,Cholera,Genetic,15.64,11.86,9.85,19-35,Other,351953,97.07,2.33,2.41,Therapy,35376.0,Yes,70.82,4801.0,6.65,87873.0,0.72,84.54 +91220,India,2009,COVID-19,Bacterial,6.31,12.31,4.23,61+,Other,310167,67.72,1.56,6.56,Therapy,22489.0,No,77.68,1541.0,4.56,22024.0,0.53,86.57 +91231,France,2005,Tuberculosis,Infectious,7.65,6.66,7.91,36-60,Female,528644,84.65,1.29,5.72,Surgery,8394.0,No,87.62,1639.0,5.89,84047.0,0.51,65.22 +91237,South Africa,2008,Dengue,Cardiovascular,15.91,6.33,9.0,0-18,Other,59507,63.24,4.53,9.25,Medication,14147.0,Yes,55.54,1560.0,6.41,6762.0,0.65,76.56 +91239,Mexico,2023,Polio,Viral,1.61,3.83,5.71,19-35,Male,771964,61.95,2.39,0.57,Medication,28152.0,Yes,80.37,3963.0,1.04,8316.0,0.45,80.27 +91240,Canada,2023,Hypertension,Respiratory,3.87,11.05,9.27,36-60,Other,263091,86.52,1.22,2.62,Surgery,42020.0,No,57.17,434.0,4.29,46433.0,0.43,27.86 +91242,UK,2016,Hepatitis,Viral,19.24,12.68,5.74,19-35,Male,238110,76.04,1.95,5.94,Medication,48328.0,No,85.28,3950.0,8.99,98519.0,0.59,65.86 +91246,USA,2024,Influenza,Chronic,8.14,8.02,3.29,61+,Female,433370,60.18,0.98,9.47,Therapy,11560.0,Yes,86.4,4656.0,8.76,48926.0,0.77,68.33 +91255,Argentina,2007,Influenza,Neurological,8.33,10.27,4.74,61+,Other,981497,61.57,4.92,5.46,Surgery,18291.0,No,86.91,3861.0,6.66,31176.0,0.67,32.5 +91256,Saudi Arabia,2016,Asthma,Parasitic,16.51,8.76,9.64,0-18,Female,146524,94.8,1.15,1.18,Vaccination,36888.0,Yes,60.85,3599.0,2.87,12325.0,0.48,84.95 +91259,Russia,2015,Hepatitis,Autoimmune,2.78,5.04,3.33,0-18,Male,401906,62.61,4.55,3.18,Vaccination,41084.0,Yes,74.69,4456.0,0.72,16432.0,0.87,31.18 +91268,France,2006,Cholera,Viral,2.07,12.03,8.07,61+,Female,790139,90.35,0.56,4.54,Medication,13122.0,Yes,65.26,4026.0,7.11,18245.0,0.55,56.07 +91270,Germany,2004,Rabies,Chronic,16.77,10.98,7.13,0-18,Female,415646,87.33,3.27,0.85,Therapy,699.0,Yes,56.48,1663.0,5.52,90152.0,0.56,39.87 +91271,India,2006,Malaria,Genetic,6.57,7.9,2.02,19-35,Female,735979,54.25,4.53,5.15,Therapy,491.0,No,67.67,1015.0,0.45,49724.0,0.7,59.78 +91275,Brazil,2007,Polio,Infectious,6.47,12.65,8.68,61+,Male,51377,99.96,2.71,8.94,Medication,1984.0,No,93.01,2851.0,5.8,43839.0,0.71,34.2 +91277,Canada,2021,COVID-19,Cardiovascular,14.07,4.09,5.48,36-60,Other,291040,56.87,2.56,3.6,Vaccination,4345.0,No,56.58,2805.0,1.76,34243.0,0.66,45.61 +91282,UK,2001,Rabies,Infectious,11.95,4.63,2.39,61+,Male,69393,94.26,3.22,2.62,Surgery,5730.0,Yes,58.56,2924.0,8.71,74913.0,0.76,48.27 +91285,Mexico,2004,Dengue,Parasitic,19.47,6.43,7.01,61+,Female,850538,63.95,1.67,2.62,Therapy,3431.0,Yes,94.6,4385.0,5.36,13068.0,0.81,38.03 +91293,Australia,2019,Alzheimer's Disease,Infectious,16.47,2.54,6.26,61+,Female,967290,88.6,0.53,9.69,Vaccination,43475.0,Yes,71.31,913.0,5.29,35512.0,0.78,76.42 +91296,Indonesia,2020,Hepatitis,Neurological,8.38,10.22,8.77,36-60,Other,656520,79.93,4.09,3.44,Medication,33791.0,Yes,72.51,2665.0,8.09,55129.0,0.76,25.63 +91298,Saudi Arabia,2023,Polio,Respiratory,16.14,8.98,6.94,61+,Other,581347,50.37,4.58,5.98,Therapy,29476.0,Yes,63.19,696.0,6.54,27318.0,0.7,37.27 +91309,Argentina,2001,Asthma,Genetic,4.01,7.88,5.04,0-18,Male,256356,85.61,1.97,1.61,Therapy,45950.0,No,95.11,2574.0,8.28,35450.0,0.46,32.56 +91311,Germany,2000,Leprosy,Viral,17.49,0.99,3.16,0-18,Female,89165,56.22,3.89,5.74,Vaccination,14666.0,No,96.68,4736.0,4.39,16148.0,0.8,23.21 +91314,Japan,2016,Dengue,Infectious,8.83,1.66,4.23,61+,Other,487437,83.55,1.26,7.47,Therapy,19085.0,Yes,68.44,3545.0,0.59,56780.0,0.89,26.55 +91317,Argentina,2008,Hypertension,Chronic,9.04,4.05,7.71,61+,Male,506234,58.04,1.42,9.39,Therapy,48330.0,No,71.39,906.0,8.19,14121.0,0.8,87.83 +91319,UK,2004,Leprosy,Viral,2.18,1.33,9.36,61+,Male,275647,96.65,4.18,5.24,Surgery,3490.0,No,71.99,4168.0,1.27,86430.0,0.75,70.09 +91328,Saudi Arabia,2020,Cholera,Viral,14.88,5.57,2.25,0-18,Male,754117,54.83,0.8,9.98,Medication,22955.0,No,90.46,4809.0,7.87,55300.0,0.79,54.75 +91338,Saudi Arabia,2020,Dengue,Viral,9.42,9.99,1.43,36-60,Female,563882,64.82,1.74,3.21,Surgery,18150.0,Yes,54.19,4611.0,5.74,54355.0,0.77,28.24 +91342,Japan,2005,Diabetes,Metabolic,4.2,3.14,8.61,36-60,Male,267888,75.57,0.69,7.27,Surgery,45782.0,No,90.21,3989.0,5.78,79281.0,0.44,89.14 +91346,Brazil,2016,Zika,Cardiovascular,15.1,2.33,2.03,0-18,Female,582067,98.97,3.41,2.18,Medication,31346.0,Yes,54.61,2051.0,9.62,86588.0,0.47,50.98 +91363,Brazil,2008,Influenza,Respiratory,18.25,10.62,6.85,19-35,Male,818946,62.89,2.48,7.99,Surgery,49416.0,No,78.14,1027.0,7.46,68317.0,0.58,24.32 +91364,Nigeria,2006,Parkinson's Disease,Autoimmune,15.67,9.02,0.99,0-18,Female,318394,74.39,4.63,5.54,Medication,7404.0,No,95.27,3229.0,9.12,15779.0,0.75,87.0 +91368,Saudi Arabia,2020,Malaria,Genetic,1.25,1.81,6.51,36-60,Female,935628,78.39,4.16,2.8,Therapy,18058.0,No,62.55,969.0,3.55,22362.0,0.69,86.67 +91375,France,2020,Influenza,Chronic,15.94,10.2,7.36,61+,Male,989925,59.84,1.55,5.3,Therapy,2495.0,Yes,87.16,482.0,3.37,13720.0,0.89,63.74 +91377,China,2008,Cholera,Cardiovascular,10.25,5.75,6.32,36-60,Female,16169,50.29,2.1,7.5,Surgery,18057.0,No,64.85,977.0,5.12,86306.0,0.83,42.72 +91378,Italy,2023,Cancer,Metabolic,8.76,12.0,5.83,19-35,Male,900718,99.28,3.23,9.59,Therapy,22264.0,No,82.53,87.0,0.46,88835.0,0.6,52.33 +91379,China,2016,Polio,Parasitic,0.19,2.1,2.17,61+,Female,854826,79.74,1.45,2.95,Therapy,7065.0,Yes,71.74,1669.0,2.47,93647.0,0.8,63.98 +91380,South Korea,2016,Zika,Metabolic,14.77,8.92,3.5,19-35,Other,121287,86.67,1.03,6.15,Surgery,5995.0,No,51.23,850.0,3.27,77130.0,0.63,74.02 +91383,Indonesia,2024,Polio,Metabolic,7.04,1.0,0.96,0-18,Male,508328,79.91,2.73,7.8,Medication,31689.0,Yes,55.4,4441.0,9.32,79227.0,0.54,87.91 +91393,Nigeria,2009,Asthma,Autoimmune,5.33,11.95,6.89,19-35,Other,215350,73.37,1.59,7.13,Vaccination,34742.0,Yes,93.49,3504.0,0.94,63397.0,0.78,84.25 +91398,Argentina,2012,Influenza,Metabolic,3.51,1.84,0.78,0-18,Other,585804,91.84,1.07,9.31,Surgery,21034.0,No,51.74,2447.0,4.3,1756.0,0.67,85.1 +91405,Indonesia,2018,Hypertension,Cardiovascular,14.56,2.64,2.21,19-35,Male,73267,82.8,4.97,7.94,Surgery,33482.0,No,97.9,2308.0,9.0,25157.0,0.87,63.6 +91408,Saudi Arabia,2006,Hepatitis,Metabolic,6.05,8.99,7.89,36-60,Other,123368,53.1,1.16,6.02,Medication,7310.0,No,52.6,3510.0,6.48,68364.0,0.72,62.19 +91430,Nigeria,2002,Hypertension,Genetic,6.51,6.07,1.71,19-35,Other,739805,79.84,3.7,3.23,Surgery,27164.0,Yes,83.49,4431.0,2.27,29123.0,0.86,31.14 +91431,Germany,2018,Measles,Metabolic,2.18,13.6,1.42,19-35,Male,931989,97.06,1.38,9.21,Therapy,33213.0,Yes,63.36,1256.0,8.98,94871.0,0.44,36.21 +91444,Japan,2007,HIV/AIDS,Respiratory,18.41,11.98,5.2,36-60,Female,386641,75.98,3.81,4.44,Surgery,33395.0,Yes,91.4,2479.0,4.88,41149.0,0.65,62.71 +91446,France,2015,Hepatitis,Genetic,18.98,12.22,5.74,19-35,Female,235154,87.77,3.91,8.13,Surgery,25243.0,No,74.06,3074.0,9.8,16143.0,0.63,54.67 +91453,Australia,2019,Hypertension,Metabolic,5.38,12.7,1.93,61+,Other,319670,96.24,2.57,9.33,Therapy,42403.0,Yes,97.74,4001.0,7.79,56524.0,0.74,60.52 +91463,Saudi Arabia,2021,Hypertension,Cardiovascular,13.27,6.0,1.58,0-18,Other,834084,98.36,1.31,7.45,Vaccination,19844.0,No,74.66,3433.0,0.62,56106.0,0.87,89.08 +91467,Nigeria,2017,Dengue,Cardiovascular,6.64,14.96,0.14,0-18,Male,737377,60.97,2.09,6.66,Therapy,832.0,No,64.18,3480.0,3.49,72515.0,0.52,32.7 +91468,Argentina,2017,Alzheimer's Disease,Respiratory,4.13,5.64,0.75,61+,Other,666588,96.92,1.22,5.54,Therapy,4308.0,Yes,72.97,3539.0,0.48,28984.0,0.4,47.38 +91479,Indonesia,2019,Rabies,Chronic,1.57,3.95,2.86,61+,Male,681148,85.5,1.21,1.8,Vaccination,39416.0,No,69.25,892.0,5.81,21980.0,0.55,32.02 +91481,France,2015,HIV/AIDS,Respiratory,2.88,6.26,9.2,61+,Other,684639,83.25,2.72,6.63,Therapy,17080.0,No,76.74,1456.0,5.65,84007.0,0.4,81.37 +91485,USA,2009,Ebola,Genetic,9.5,3.98,1.31,61+,Female,170648,75.63,2.28,1.27,Medication,2831.0,Yes,90.33,3839.0,7.47,50716.0,0.76,65.19 +91486,Canada,2000,Polio,Cardiovascular,11.0,1.53,5.43,0-18,Male,861422,87.32,2.54,3.63,Surgery,14676.0,No,77.61,4073.0,8.57,54072.0,0.84,74.03 +91487,UK,2010,Malaria,Respiratory,2.89,2.01,2.37,61+,Other,195517,98.48,4.47,4.55,Vaccination,8795.0,No,62.73,2294.0,7.94,40930.0,0.89,72.81 +91488,Brazil,2013,Alzheimer's Disease,Neurological,6.61,4.89,2.42,36-60,Male,39402,97.57,4.96,1.13,Vaccination,38275.0,No,72.87,73.0,1.02,87470.0,0.49,23.11 +91512,Mexico,2016,Dengue,Parasitic,7.95,10.14,7.08,19-35,Other,430238,81.04,4.14,7.64,Therapy,19929.0,No,80.9,4975.0,9.38,39486.0,0.78,60.31 +91515,Germany,2023,Leprosy,Cardiovascular,6.03,11.14,8.85,19-35,Male,165411,56.68,4.56,2.84,Vaccination,32031.0,No,57.58,4637.0,2.42,13183.0,0.69,71.92 +91518,Germany,2000,Zika,Neurological,1.9,8.83,0.66,19-35,Female,626532,63.82,2.51,1.38,Therapy,7754.0,Yes,72.03,2710.0,3.12,41413.0,0.75,82.48 +91524,China,2016,Polio,Metabolic,15.8,12.96,3.37,61+,Female,975398,53.21,1.01,2.32,Medication,1438.0,No,50.19,322.0,5.66,4816.0,0.52,36.3 +91532,Canada,2001,HIV/AIDS,Genetic,19.99,13.23,9.95,61+,Male,253992,76.03,4.43,3.51,Vaccination,42007.0,Yes,97.14,96.0,3.87,74687.0,0.86,28.54 +91533,Indonesia,2020,Leprosy,Viral,11.34,0.27,7.02,36-60,Female,136238,98.49,2.13,7.95,Medication,38266.0,No,53.02,111.0,0.21,41894.0,0.59,71.82 +91540,India,2001,Malaria,Infectious,13.67,8.78,3.87,19-35,Male,234614,66.66,0.86,9.06,Vaccination,26467.0,No,79.97,671.0,6.9,32493.0,0.71,60.55 +91543,South Korea,2013,Rabies,Neurological,18.41,11.29,2.99,19-35,Other,450695,51.84,4.31,5.19,Therapy,2016.0,No,81.15,1843.0,1.72,68981.0,0.7,33.62 +91546,Italy,2010,Influenza,Metabolic,11.99,12.84,0.8,36-60,Male,718501,95.55,4.22,5.42,Medication,19457.0,No,57.55,4325.0,3.68,80183.0,0.56,69.87 +91553,Nigeria,2016,Alzheimer's Disease,Parasitic,5.19,11.67,5.14,61+,Other,214307,92.46,2.6,9.62,Therapy,32244.0,No,54.56,661.0,4.55,78653.0,0.76,35.59 +91560,Turkey,2008,Ebola,Bacterial,11.08,13.24,1.83,61+,Other,106608,68.56,2.82,4.38,Medication,39425.0,No,63.0,1710.0,6.41,55582.0,0.53,32.68 +91575,Argentina,2020,Dengue,Neurological,4.69,12.25,2.72,19-35,Male,517066,57.11,1.61,6.63,Medication,12265.0,No,73.2,531.0,3.08,80679.0,0.56,47.34 +91580,China,2024,Influenza,Infectious,5.57,9.61,1.13,36-60,Male,954930,72.04,1.71,5.26,Vaccination,14257.0,No,95.34,4240.0,9.17,60075.0,0.62,35.8 +91581,USA,2009,Tuberculosis,Autoimmune,9.29,3.88,4.56,19-35,Other,623856,89.49,1.77,3.74,Therapy,4376.0,No,80.34,4248.0,0.0,14494.0,0.88,31.18 +91586,Argentina,2005,COVID-19,Autoimmune,4.03,4.53,5.49,0-18,Male,540879,98.09,0.54,5.17,Vaccination,20856.0,Yes,85.15,4041.0,1.59,52217.0,0.68,64.88 +91592,China,2012,Asthma,Parasitic,2.05,6.24,9.61,0-18,Other,299406,54.86,3.54,6.77,Therapy,34348.0,Yes,78.05,2716.0,8.91,61302.0,0.6,30.19 +91593,Canada,2005,HIV/AIDS,Infectious,11.94,9.93,1.76,36-60,Female,975917,85.9,2.24,9.0,Surgery,33000.0,No,86.46,2548.0,3.32,3542.0,0.75,38.53 +91600,South Korea,2010,Hypertension,Bacterial,8.58,11.09,3.87,36-60,Male,60673,66.31,2.84,3.01,Therapy,28723.0,No,65.39,2556.0,7.96,2712.0,0.66,39.99 +91603,Italy,2021,Hepatitis,Parasitic,18.27,8.13,1.85,0-18,Other,95499,82.61,0.57,7.89,Surgery,5659.0,Yes,52.08,4978.0,5.92,84015.0,0.81,84.09 +91610,Germany,2017,Hepatitis,Parasitic,9.74,13.35,5.95,61+,Other,641628,87.87,4.34,9.89,Medication,35750.0,No,50.11,3797.0,4.81,3519.0,0.72,74.77 +91613,Russia,2000,Hypertension,Bacterial,8.95,14.58,4.45,19-35,Female,443859,63.81,4.67,2.23,Surgery,26135.0,No,70.84,1965.0,6.63,20022.0,0.55,68.76 +91617,China,2000,Diabetes,Genetic,11.83,14.48,7.27,36-60,Other,785709,98.57,3.85,6.15,Therapy,32257.0,Yes,54.59,4805.0,9.22,41545.0,0.43,71.76 +91624,France,2002,Cholera,Parasitic,1.31,14.61,9.38,19-35,Other,79011,90.22,3.49,7.57,Vaccination,39337.0,No,64.64,1312.0,0.56,943.0,0.48,87.98 +91625,Mexico,2003,Hypertension,Chronic,5.26,1.76,8.63,61+,Other,68697,79.33,1.08,6.02,Vaccination,34165.0,Yes,88.63,4037.0,1.01,34256.0,0.88,47.49 +91630,Nigeria,2015,Ebola,Chronic,12.19,13.1,3.04,61+,Other,475690,90.28,2.79,8.97,Surgery,38138.0,Yes,86.06,2869.0,1.08,54348.0,0.45,82.02 +91633,Saudi Arabia,2015,Polio,Bacterial,7.57,11.27,1.54,19-35,Female,37254,86.84,4.3,6.79,Surgery,1351.0,Yes,89.51,4876.0,9.16,60457.0,0.78,60.13 +91637,China,2005,Alzheimer's Disease,Neurological,3.28,9.88,3.92,61+,Other,697282,59.05,3.39,1.41,Surgery,27064.0,No,61.63,3093.0,7.54,65093.0,0.78,39.48 +91640,South Africa,2000,Leprosy,Genetic,3.45,1.57,9.42,36-60,Female,537246,95.86,2.26,8.32,Surgery,18241.0,No,91.21,4522.0,2.75,76113.0,0.62,75.87 +91649,Germany,2001,Hepatitis,Parasitic,16.5,9.82,1.17,36-60,Male,287881,69.02,2.08,7.37,Surgery,8296.0,No,95.43,2225.0,5.16,86880.0,0.55,20.32 +91661,Argentina,2020,Diabetes,Neurological,15.27,6.54,2.29,0-18,Male,597421,79.25,1.6,7.51,Surgery,17392.0,Yes,78.01,3340.0,0.56,44429.0,0.47,34.64 +91672,Germany,2011,Zika,Bacterial,2.97,2.85,5.84,19-35,Female,964461,54.63,1.13,7.15,Therapy,46959.0,No,84.01,213.0,9.84,69720.0,0.42,74.01 +91673,India,2002,Parkinson's Disease,Metabolic,9.79,4.27,3.77,61+,Female,936097,80.54,1.43,7.84,Vaccination,18926.0,No,94.78,853.0,0.23,73811.0,0.53,60.94 +91680,Germany,2015,Influenza,Respiratory,8.26,12.49,9.77,0-18,Female,505831,88.31,2.06,3.56,Therapy,10372.0,Yes,91.7,2127.0,3.93,67926.0,0.84,52.94 +91682,Canada,2003,Parkinson's Disease,Viral,15.52,13.22,4.5,61+,Male,59610,72.03,3.58,1.74,Vaccination,709.0,No,61.35,4233.0,9.91,3182.0,0.42,38.9 +91688,UK,2012,Asthma,Genetic,12.82,0.31,1.47,0-18,Female,149069,58.1,4.83,1.38,Vaccination,43709.0,Yes,90.33,2850.0,9.22,63303.0,0.84,62.57 +91694,USA,2003,Dengue,Infectious,0.1,3.42,5.26,19-35,Female,571264,88.43,4.95,1.4,Vaccination,9197.0,Yes,62.99,2545.0,3.84,90787.0,0.76,49.42 +91695,France,2018,HIV/AIDS,Cardiovascular,8.27,7.86,0.71,19-35,Male,650505,82.81,4.25,9.64,Surgery,40369.0,No,59.77,2714.0,3.63,42357.0,0.69,67.21 +91699,Canada,2012,Rabies,Neurological,9.9,2.81,6.77,61+,Other,119512,74.63,2.43,1.94,Surgery,11123.0,No,60.34,3967.0,5.51,12506.0,0.42,47.23 +91707,Saudi Arabia,2009,Diabetes,Genetic,8.56,11.09,3.86,61+,Male,946160,70.43,0.9,3.77,Therapy,18833.0,No,67.77,4203.0,2.87,29520.0,0.42,35.54 +91709,Indonesia,2001,Ebola,Chronic,8.69,8.07,3.61,61+,Other,174470,82.68,4.71,8.89,Vaccination,17143.0,No,84.54,19.0,1.41,35942.0,0.5,65.65 +91710,South Africa,2002,COVID-19,Infectious,3.05,12.48,9.72,19-35,Female,896291,99.08,1.79,5.62,Vaccination,7517.0,Yes,95.26,2266.0,2.29,51725.0,0.44,75.31 +91714,Russia,2020,Cancer,Chronic,5.65,13.21,8.53,61+,Male,774964,89.5,1.32,7.01,Vaccination,757.0,No,60.42,3006.0,2.3,95838.0,0.5,34.45 +91716,Germany,2008,Ebola,Neurological,15.48,11.83,1.33,19-35,Other,864759,76.98,4.05,3.55,Surgery,1200.0,Yes,57.86,2397.0,0.01,34260.0,0.49,74.03 +91719,Saudi Arabia,2020,Polio,Neurological,2.82,10.87,7.04,19-35,Other,243538,58.79,3.84,9.92,Vaccination,42406.0,Yes,86.24,1867.0,7.87,41696.0,0.88,42.34 +91723,Japan,2019,Tuberculosis,Bacterial,16.87,11.58,1.63,61+,Other,131119,54.13,2.42,8.8,Medication,16879.0,Yes,63.46,4796.0,5.69,80297.0,0.88,30.35 +91727,Saudi Arabia,2017,Leprosy,Infectious,14.8,6.0,3.37,0-18,Other,268435,76.96,1.57,7.76,Therapy,6604.0,Yes,61.65,3774.0,4.53,26500.0,0.53,80.18 +91730,UK,2012,Cancer,Neurological,18.61,9.04,9.81,61+,Female,791564,50.9,1.55,0.53,Vaccination,33096.0,No,95.21,2661.0,0.13,83282.0,0.49,65.84 +91731,Russia,2021,Leprosy,Chronic,19.75,9.2,3.77,61+,Male,127882,60.86,2.36,8.68,Surgery,13480.0,Yes,82.35,3899.0,9.63,85213.0,0.45,89.85 +91738,France,2015,Parkinson's Disease,Metabolic,3.56,0.43,2.42,0-18,Other,770399,60.28,3.21,5.54,Vaccination,39227.0,Yes,80.4,2028.0,4.71,53346.0,0.62,89.45 +91746,UK,2004,Rabies,Bacterial,7.49,1.9,5.45,19-35,Other,159903,51.18,3.39,5.2,Medication,9429.0,Yes,71.36,2461.0,8.92,11923.0,0.55,36.58 +91748,Mexico,2000,Tuberculosis,Bacterial,4.22,9.04,5.0,61+,Female,562946,89.96,2.47,9.89,Therapy,7229.0,Yes,87.86,467.0,5.25,27695.0,0.6,26.72 +91755,Saudi Arabia,2003,Malaria,Parasitic,19.49,10.51,6.24,36-60,Male,862748,56.18,2.98,1.71,Vaccination,16231.0,Yes,59.05,1728.0,6.34,2417.0,0.58,57.26 +91763,Mexico,2023,Influenza,Bacterial,7.61,9.1,1.37,61+,Female,750018,83.47,0.61,2.59,Medication,9965.0,Yes,75.48,4863.0,4.43,35046.0,0.89,76.58 +91772,Indonesia,2018,Zika,Metabolic,12.52,2.85,5.9,36-60,Male,704534,55.78,2.01,8.26,Therapy,41974.0,Yes,57.5,3407.0,5.99,58857.0,0.87,68.99 +91780,Mexico,2021,Tuberculosis,Chronic,12.49,14.89,4.78,61+,Other,557427,96.15,1.83,2.56,Medication,2662.0,Yes,80.02,780.0,6.76,89149.0,0.49,88.73 +91784,South Africa,2014,Tuberculosis,Neurological,12.13,3.75,1.46,19-35,Female,513553,59.76,4.14,2.64,Vaccination,11050.0,Yes,96.72,2533.0,2.9,43816.0,0.56,53.24 +91786,Italy,2012,Influenza,Respiratory,6.8,8.17,2.79,0-18,Male,436552,64.23,4.45,1.88,Surgery,20299.0,No,66.43,2124.0,5.27,94790.0,0.85,36.87 +91796,Germany,2018,Measles,Bacterial,7.79,2.87,6.57,36-60,Female,937425,51.61,2.18,1.09,Therapy,15212.0,No,56.79,1984.0,8.08,43050.0,0.48,35.47 +91797,Nigeria,2011,Polio,Genetic,9.31,10.91,8.83,0-18,Other,196061,78.79,1.39,4.17,Surgery,30454.0,Yes,82.06,3617.0,8.18,54976.0,0.71,49.38 +91811,Japan,2012,Diabetes,Respiratory,6.03,3.92,2.72,19-35,Male,182249,57.62,4.61,8.7,Medication,13293.0,No,58.77,3132.0,1.1,37647.0,0.8,25.81 +91820,Mexico,2021,Hypertension,Autoimmune,5.2,7.58,5.25,0-18,Male,93976,66.14,1.92,9.92,Medication,33716.0,Yes,67.22,2042.0,9.92,74756.0,0.8,58.31 +91824,South Africa,2006,Alzheimer's Disease,Parasitic,1.08,4.67,1.14,61+,Other,69355,53.08,1.48,9.19,Therapy,31715.0,Yes,60.83,570.0,3.63,16091.0,0.49,82.75 +91841,Canada,2018,Cancer,Genetic,14.93,12.41,9.38,61+,Male,943857,86.9,1.52,5.08,Vaccination,32400.0,No,76.21,1773.0,5.13,30694.0,0.55,45.7 +91842,Germany,2010,Diabetes,Genetic,2.79,4.79,9.49,19-35,Male,462223,85.96,1.62,1.7,Medication,33719.0,Yes,81.2,390.0,8.91,89919.0,0.75,85.83 +91853,Indonesia,2023,COVID-19,Bacterial,1.21,3.6,7.4,0-18,Other,282596,71.37,2.31,3.42,Vaccination,2470.0,No,87.13,4945.0,0.55,95079.0,0.55,44.69 +91862,South Africa,2022,Measles,Cardiovascular,1.22,6.91,2.11,36-60,Other,186177,64.21,4.53,2.18,Medication,12701.0,Yes,57.82,2544.0,1.96,80812.0,0.78,54.53 +91868,Mexico,2002,Leprosy,Chronic,2.41,10.1,2.61,36-60,Female,453545,56.63,0.8,0.82,Medication,32820.0,Yes,57.9,4134.0,3.28,41135.0,0.83,43.54 +91870,Indonesia,2004,Zika,Neurological,15.96,11.76,0.53,0-18,Male,80613,79.78,4.77,5.72,Vaccination,7844.0,Yes,50.43,4796.0,4.41,89297.0,0.78,22.72 +91871,South Africa,2015,Dengue,Viral,18.62,12.82,2.41,61+,Male,287258,67.71,3.98,2.55,Vaccination,48128.0,Yes,82.48,4505.0,4.78,53046.0,0.73,69.83 +91878,Russia,2012,Parkinson's Disease,Infectious,17.3,8.65,3.62,0-18,Other,934553,52.25,1.16,5.98,Surgery,36735.0,Yes,67.26,1833.0,1.17,2045.0,0.48,35.26 +91884,Germany,2015,COVID-19,Neurological,11.67,10.26,0.14,36-60,Male,158015,62.23,4.11,1.42,Therapy,43973.0,Yes,56.2,3547.0,4.81,69795.0,0.69,46.52 +91885,UK,2009,Diabetes,Genetic,4.8,1.67,3.88,0-18,Female,342742,96.79,3.24,4.49,Vaccination,46427.0,Yes,84.96,2720.0,4.79,25560.0,0.47,53.08 +91886,India,2015,Hypertension,Viral,12.8,12.82,7.98,19-35,Male,381437,97.55,3.03,0.99,Medication,22268.0,Yes,55.9,183.0,2.6,21122.0,0.42,45.28 +91890,Brazil,2011,Polio,Chronic,10.12,1.29,6.58,61+,Male,340158,63.55,1.81,7.65,Vaccination,45375.0,No,88.84,160.0,5.77,42107.0,0.72,74.27 +91891,South Korea,2007,Polio,Infectious,8.4,9.88,8.23,61+,Other,209021,51.05,0.97,7.8,Surgery,42996.0,Yes,54.96,4835.0,7.87,52572.0,0.54,33.3 +91898,UK,2021,Leprosy,Metabolic,9.8,11.06,7.4,19-35,Female,601485,66.52,0.55,8.07,Medication,34545.0,No,53.15,3822.0,3.72,32203.0,0.66,34.61 +91899,India,2023,Cholera,Genetic,18.44,3.88,7.04,19-35,Female,940397,85.76,3.29,3.59,Vaccination,46422.0,Yes,51.93,411.0,9.04,15142.0,0.8,50.54 +91903,France,2011,Cholera,Parasitic,6.21,11.42,1.7,0-18,Female,351700,83.04,2.63,7.9,Surgery,30397.0,No,79.88,4346.0,4.47,22165.0,0.44,41.23 +91908,Germany,2012,Tuberculosis,Cardiovascular,7.42,3.89,5.7,0-18,Other,997804,84.2,4.38,9.12,Vaccination,29514.0,No,62.78,4505.0,9.02,77605.0,0.89,50.18 +91920,Russia,2010,Asthma,Parasitic,10.09,5.46,9.99,0-18,Female,120306,81.37,3.83,6.63,Vaccination,6413.0,No,53.13,2925.0,3.79,72338.0,0.55,67.14 +91921,Turkey,2017,Leprosy,Respiratory,12.1,3.57,3.24,0-18,Other,279542,58.41,2.11,6.09,Therapy,49439.0,Yes,64.72,3529.0,4.39,96769.0,0.74,44.68 +91929,South Korea,2002,Malaria,Cardiovascular,11.4,0.9,3.57,0-18,Other,228567,66.27,2.04,5.77,Surgery,920.0,Yes,72.0,657.0,9.64,42046.0,0.84,67.6 +91933,France,2010,Alzheimer's Disease,Chronic,17.35,3.09,9.37,0-18,Female,955837,80.86,3.72,7.36,Therapy,21736.0,No,72.79,4706.0,6.32,67826.0,0.87,78.24 +91934,India,2000,Hypertension,Parasitic,8.49,2.53,9.35,36-60,Male,905317,50.86,2.51,7.18,Surgery,37882.0,Yes,94.89,4503.0,2.88,42808.0,0.68,33.47 +91939,Canada,2021,Asthma,Parasitic,6.42,8.07,2.49,36-60,Other,776027,83.6,3.63,4.63,Vaccination,41575.0,No,78.96,3823.0,2.15,35930.0,0.53,45.8 +91946,Australia,2002,Cancer,Respiratory,10.12,0.18,4.03,36-60,Female,509636,74.62,3.6,0.82,Vaccination,1257.0,No,88.55,4205.0,7.12,11121.0,0.64,80.1 +91947,South Korea,2018,Cholera,Metabolic,8.71,9.83,8.3,36-60,Other,161637,86.03,2.35,3.15,Surgery,46878.0,No,80.91,3832.0,8.97,34231.0,0.53,23.37 +91948,Japan,2008,Polio,Chronic,16.6,8.64,0.74,61+,Male,438042,78.75,0.83,2.01,Surgery,48590.0,Yes,85.53,1537.0,9.43,28347.0,0.8,80.77 +91951,Mexico,2017,Polio,Respiratory,5.74,4.75,4.77,61+,Other,615799,64.93,4.8,2.77,Vaccination,28945.0,No,51.07,4285.0,2.9,41024.0,0.41,50.02 +91954,Argentina,2006,Diabetes,Bacterial,10.49,5.65,0.95,19-35,Female,693214,96.93,0.84,6.28,Surgery,43577.0,No,84.27,1410.0,3.85,70601.0,0.68,84.74 +91974,USA,2004,Cancer,Genetic,9.9,2.3,5.1,36-60,Male,514419,86.69,2.29,1.44,Medication,46263.0,No,92.38,199.0,7.09,7527.0,0.58,47.57 +91985,Australia,2000,Ebola,Chronic,6.6,7.49,7.18,36-60,Female,838768,84.0,4.4,1.69,Therapy,9279.0,No,94.06,3811.0,8.44,42518.0,0.9,62.64 +91986,UK,2020,Parkinson's Disease,Chronic,6.1,11.18,9.72,0-18,Male,455767,56.88,2.7,9.72,Medication,14372.0,Yes,55.09,1940.0,0.91,34254.0,0.43,27.32 +91996,Nigeria,2005,Alzheimer's Disease,Parasitic,13.97,4.03,6.95,0-18,Female,35631,69.0,4.0,2.67,Vaccination,18216.0,No,55.28,3.0,6.97,8903.0,0.5,64.22 +92006,South Africa,2020,Cancer,Genetic,10.46,9.48,2.29,61+,Other,469956,59.23,1.49,4.07,Vaccination,39322.0,Yes,65.69,3039.0,2.86,74500.0,0.72,79.68 +92011,USA,2010,Polio,Genetic,3.5,5.11,3.41,36-60,Other,176481,68.28,1.96,6.76,Vaccination,38460.0,No,85.94,3658.0,0.91,20476.0,0.76,30.23 +92014,Brazil,2015,HIV/AIDS,Genetic,18.13,2.96,4.15,61+,Other,16534,89.95,4.24,7.88,Therapy,17110.0,No,88.34,1044.0,6.62,39101.0,0.5,78.87 +92015,Indonesia,2011,Rabies,Bacterial,5.72,0.54,6.4,61+,Female,451392,52.22,2.86,1.85,Surgery,21702.0,No,54.63,522.0,4.18,81897.0,0.57,55.11 +92022,USA,2015,COVID-19,Chronic,3.2,4.05,4.56,61+,Male,329737,76.11,1.34,5.2,Surgery,4822.0,Yes,72.96,356.0,2.53,42873.0,0.53,32.72 +92025,Canada,2001,Cholera,Respiratory,3.04,11.4,8.93,0-18,Female,615768,57.05,4.72,4.89,Surgery,45452.0,No,59.31,4934.0,8.5,50356.0,0.55,24.37 +92032,India,2019,HIV/AIDS,Metabolic,4.47,6.5,8.04,0-18,Other,593259,95.23,1.0,8.88,Medication,33553.0,Yes,91.74,2578.0,7.59,80275.0,0.67,29.51 +92033,South Africa,2018,Measles,Parasitic,18.62,0.81,6.61,19-35,Female,746258,54.51,4.6,8.73,Surgery,20724.0,No,73.33,3081.0,0.91,71411.0,0.89,81.95 +92043,Mexico,2024,Cholera,Parasitic,7.64,5.8,2.51,61+,Other,327119,50.53,1.66,4.71,Surgery,19414.0,Yes,82.98,334.0,9.91,41323.0,0.41,37.78 +92044,China,2020,Ebola,Cardiovascular,3.9,10.48,3.43,19-35,Female,950448,84.45,0.84,9.55,Medication,18278.0,Yes,67.51,3532.0,4.56,12076.0,0.85,74.93 +92046,Nigeria,2004,Dengue,Viral,5.69,6.2,2.79,61+,Male,172531,68.07,4.54,4.64,Vaccination,8928.0,No,67.64,1112.0,8.96,74901.0,0.54,69.71 +92049,Turkey,2013,Zika,Autoimmune,13.46,10.2,8.24,36-60,Female,246008,94.17,1.8,6.98,Medication,6943.0,Yes,80.66,3366.0,4.9,75170.0,0.86,42.85 +92050,Australia,2005,Zika,Neurological,8.96,9.79,2.44,19-35,Male,276440,69.37,4.61,8.98,Medication,18412.0,Yes,76.75,2664.0,2.2,8423.0,0.52,83.81 +92061,Argentina,2019,COVID-19,Respiratory,10.95,13.03,1.24,0-18,Other,244430,65.59,1.26,7.96,Therapy,5488.0,Yes,64.15,4439.0,9.33,42359.0,0.62,44.94 +92067,Turkey,2017,Zika,Autoimmune,0.76,1.44,9.99,0-18,Male,545149,70.03,0.62,8.73,Medication,32302.0,No,78.78,2189.0,0.91,44487.0,0.52,58.52 +92070,Japan,2000,Measles,Neurological,3.06,8.65,1.55,61+,Female,457255,70.67,2.82,3.99,Surgery,27076.0,Yes,94.58,612.0,0.11,39577.0,0.69,58.16 +92077,Indonesia,2010,Zika,Metabolic,12.55,8.01,7.25,36-60,Other,53202,52.2,4.43,7.95,Therapy,29484.0,No,72.44,4981.0,5.08,65004.0,0.9,86.32 +92082,Turkey,2008,HIV/AIDS,Chronic,18.59,14.2,2.14,0-18,Other,41054,79.15,0.84,1.98,Vaccination,8762.0,No,93.14,2598.0,4.92,56743.0,0.79,35.64 +92089,Nigeria,2012,Ebola,Infectious,9.99,7.29,6.06,36-60,Other,544378,74.71,2.39,0.83,Vaccination,44539.0,Yes,69.91,4951.0,1.42,87380.0,0.69,78.14 +92097,Germany,2000,Polio,Bacterial,18.2,9.63,5.7,36-60,Male,790198,66.32,3.57,7.09,Medication,24439.0,No,81.46,1381.0,3.33,95134.0,0.48,45.37 +92100,South Africa,2019,HIV/AIDS,Parasitic,10.0,0.38,7.76,36-60,Female,217358,50.12,2.61,8.04,Therapy,38416.0,Yes,88.88,3524.0,3.1,20991.0,0.76,27.82 +92103,Canada,2023,Leprosy,Cardiovascular,9.7,3.01,1.8,61+,Other,40919,51.11,3.06,5.0,Therapy,4403.0,Yes,92.64,2290.0,9.9,65658.0,0.88,41.28 +92105,Saudi Arabia,2003,Cholera,Parasitic,7.4,5.54,6.31,0-18,Female,676109,80.0,4.95,4.71,Surgery,48031.0,No,68.55,766.0,4.27,16554.0,0.53,72.67 +92106,UK,2010,Rabies,Genetic,6.49,13.49,0.68,36-60,Male,449198,62.44,1.18,7.65,Therapy,4191.0,Yes,82.87,2911.0,9.74,56629.0,0.55,82.47 +92110,Argentina,2024,Parkinson's Disease,Viral,12.1,6.77,9.91,61+,Male,46739,86.35,4.31,0.54,Medication,28940.0,No,66.75,1511.0,9.81,84976.0,0.5,86.72 +92111,South Africa,2007,Cholera,Metabolic,10.88,0.35,5.66,0-18,Female,147292,56.32,3.01,4.18,Therapy,12908.0,Yes,61.13,4141.0,3.89,93093.0,0.46,89.25 +92115,Brazil,2008,Ebola,Cardiovascular,14.29,12.22,6.61,61+,Other,224330,63.24,2.32,1.66,Vaccination,8814.0,Yes,77.34,3823.0,6.8,32421.0,0.55,20.62 +92120,Mexico,2009,Alzheimer's Disease,Respiratory,19.1,6.61,9.87,0-18,Male,982207,80.71,1.96,2.03,Surgery,21732.0,Yes,57.03,1758.0,2.47,64752.0,0.48,57.32 +92122,Indonesia,2021,Polio,Viral,14.57,2.07,0.13,61+,Male,63418,64.48,4.87,9.6,Medication,21544.0,No,83.85,4632.0,0.03,71639.0,0.5,77.44 +92126,Mexico,2008,HIV/AIDS,Genetic,5.93,3.06,2.14,36-60,Male,975746,79.89,4.55,2.42,Therapy,8640.0,Yes,51.59,4418.0,7.79,6912.0,0.49,48.65 +92131,Turkey,2024,Zika,Genetic,5.62,6.74,5.84,61+,Other,743538,90.63,4.62,1.52,Medication,15149.0,No,86.47,2019.0,0.87,15029.0,0.7,35.95 +92134,USA,2021,Diabetes,Bacterial,18.43,11.23,9.75,19-35,Male,638150,70.68,4.35,4.28,Vaccination,32777.0,Yes,64.06,952.0,5.7,89410.0,0.86,76.36 +92139,Argentina,2007,Influenza,Viral,16.65,14.01,5.91,19-35,Male,145339,60.85,2.64,6.43,Vaccination,9456.0,Yes,94.12,3091.0,0.17,68556.0,0.42,86.7 +92143,South Korea,2012,Leprosy,Metabolic,15.43,5.91,3.2,36-60,Other,827571,52.85,2.47,4.9,Surgery,20189.0,Yes,88.83,1452.0,8.79,3557.0,0.77,23.03 +92150,Argentina,2021,Hypertension,Respiratory,16.66,12.21,1.96,0-18,Female,562900,83.14,0.58,2.45,Surgery,38972.0,Yes,59.84,1549.0,2.05,72862.0,0.46,47.36 +92152,South Africa,2018,Cancer,Infectious,12.65,14.25,4.18,36-60,Other,948235,75.56,1.67,8.05,Medication,1579.0,No,79.03,683.0,6.54,82611.0,0.75,52.57 +92157,South Korea,2023,Cholera,Parasitic,7.61,10.91,9.49,19-35,Other,188035,75.29,2.07,1.1,Surgery,39957.0,Yes,70.46,350.0,0.77,13075.0,0.43,71.59 +92158,Indonesia,2011,Polio,Bacterial,10.61,13.88,9.52,19-35,Female,808231,71.8,1.35,8.0,Surgery,17910.0,Yes,60.78,4043.0,0.15,5857.0,0.85,23.2 +92161,USA,2001,Hypertension,Chronic,8.91,6.44,2.14,61+,Female,75806,66.17,2.96,6.97,Surgery,48555.0,Yes,84.39,3630.0,9.96,87425.0,0.89,53.54 +92163,Japan,2023,Polio,Neurological,19.0,8.53,8.0,36-60,Other,794871,64.33,3.76,7.85,Surgery,23608.0,No,70.77,4876.0,5.44,86873.0,0.88,23.28 +92166,Saudi Arabia,2008,Malaria,Cardiovascular,10.85,8.6,8.42,19-35,Female,627220,91.09,1.3,4.03,Therapy,20899.0,No,89.88,2909.0,9.23,95521.0,0.48,46.44 +92167,Italy,2021,Hypertension,Chronic,4.5,4.1,9.99,19-35,Male,767851,91.65,4.36,2.21,Medication,27328.0,Yes,98.8,1324.0,2.29,46736.0,0.52,84.21 +92181,India,2019,Measles,Metabolic,6.51,3.49,9.75,36-60,Male,330185,96.65,0.59,1.42,Surgery,15161.0,No,98.84,4796.0,4.44,73100.0,0.47,82.34 +92182,Saudi Arabia,2012,Hepatitis,Autoimmune,16.25,0.45,8.82,19-35,Female,492394,85.11,4.33,1.49,Therapy,17774.0,No,93.19,3410.0,8.16,47535.0,0.86,35.82 +92185,Turkey,2003,Hepatitis,Metabolic,9.63,14.72,6.46,36-60,Male,276624,57.61,3.53,4.23,Surgery,19756.0,No,54.27,726.0,2.72,45858.0,0.72,31.7 +92203,Saudi Arabia,2007,Dengue,Metabolic,14.72,10.71,8.75,0-18,Female,471910,51.25,3.53,3.02,Surgery,46775.0,Yes,73.55,843.0,7.68,2778.0,0.87,24.83 +92204,Brazil,2012,Zika,Parasitic,2.15,11.92,9.52,61+,Male,104139,73.3,1.37,4.48,Surgery,48062.0,Yes,60.6,1318.0,3.64,52963.0,0.55,72.3 +92205,Argentina,2009,Hepatitis,Parasitic,3.5,4.66,1.72,36-60,Other,827956,74.33,4.4,5.97,Vaccination,33994.0,Yes,78.97,3497.0,3.75,76444.0,0.83,70.81 +92221,France,2016,Zika,Chronic,10.81,4.69,8.43,36-60,Other,396462,53.53,4.08,6.83,Medication,44570.0,Yes,76.1,2333.0,0.86,23663.0,0.46,80.84 +92224,Nigeria,2014,Cholera,Viral,7.83,3.78,1.98,0-18,Female,60099,75.61,1.82,3.19,Surgery,4742.0,No,57.02,2020.0,3.78,98581.0,0.45,34.15 +92226,Turkey,2014,Measles,Autoimmune,6.97,2.91,2.41,36-60,Other,93347,76.36,4.8,4.97,Vaccination,31335.0,No,68.69,1373.0,2.91,36142.0,0.71,73.92 +92238,Italy,2014,Asthma,Respiratory,18.73,7.78,8.71,19-35,Female,810393,72.05,3.94,9.33,Medication,11883.0,No,64.77,665.0,2.56,93034.0,0.62,35.53 +92241,Argentina,2002,Tuberculosis,Bacterial,19.97,5.46,1.54,36-60,Female,966864,82.31,0.87,3.26,Vaccination,31344.0,Yes,92.86,3369.0,5.6,23023.0,0.68,30.87 +92248,Argentina,2019,Ebola,Genetic,14.62,9.51,7.09,36-60,Other,996399,64.37,1.02,7.82,Surgery,11898.0,Yes,72.1,339.0,9.61,69042.0,0.78,56.38 +92249,Canada,2012,Diabetes,Neurological,5.87,2.48,5.81,0-18,Male,469885,61.72,3.02,4.14,Surgery,5200.0,Yes,86.43,494.0,6.73,71876.0,0.82,89.75 +92253,Italy,2010,Rabies,Bacterial,18.78,9.23,1.41,0-18,Male,127686,82.65,3.82,0.61,Medication,40460.0,No,68.37,3949.0,4.85,70587.0,0.78,49.44 +92254,South Africa,2011,Polio,Respiratory,9.39,5.66,0.62,36-60,Other,607132,52.02,2.82,4.51,Surgery,43268.0,No,98.29,4729.0,0.46,77260.0,0.43,65.38 +92259,Russia,2003,Alzheimer's Disease,Metabolic,13.71,1.16,5.82,36-60,Other,683162,75.62,4.96,8.7,Surgery,17571.0,No,85.48,3768.0,3.96,59754.0,0.65,74.61 +92275,Germany,2021,Cancer,Respiratory,10.74,7.93,9.45,19-35,Female,666680,52.3,2.91,5.03,Surgery,35509.0,No,55.83,4429.0,5.77,29285.0,0.45,45.44 +92276,France,2004,Malaria,Infectious,14.1,13.68,1.4,0-18,Female,965021,95.11,2.33,9.27,Therapy,19061.0,No,83.21,1228.0,0.26,43220.0,0.62,46.6 +92278,Argentina,2017,HIV/AIDS,Metabolic,12.88,5.67,7.87,36-60,Female,240850,63.14,1.45,6.58,Medication,36301.0,No,54.84,302.0,3.72,99456.0,0.86,82.52 +92292,Argentina,2009,Parkinson's Disease,Viral,4.59,14.75,1.58,36-60,Female,426284,84.91,4.51,9.14,Medication,18929.0,No,67.89,274.0,5.96,28272.0,0.44,48.96 +92293,Japan,2009,Alzheimer's Disease,Neurological,15.81,7.84,3.13,61+,Male,708302,88.56,4.65,1.89,Therapy,20382.0,No,93.79,343.0,6.33,73944.0,0.68,69.68 +92295,Indonesia,2014,Rabies,Respiratory,19.34,3.8,0.99,36-60,Female,116516,76.15,1.94,5.45,Medication,2932.0,No,62.77,2358.0,7.12,71437.0,0.42,56.56 +92296,India,2006,Asthma,Respiratory,13.65,0.24,8.99,36-60,Female,802594,51.53,2.12,6.71,Vaccination,16730.0,No,63.96,1878.0,6.18,87781.0,0.61,58.68 +92299,Nigeria,2008,Leprosy,Autoimmune,14.9,13.8,0.1,36-60,Male,192591,75.57,0.67,2.87,Medication,39046.0,No,64.64,3546.0,7.44,87559.0,0.44,50.7 +92301,France,2018,Parkinson's Disease,Viral,6.6,9.62,4.79,0-18,Other,971508,86.46,4.26,4.23,Therapy,23789.0,No,81.32,3645.0,5.08,42237.0,0.84,24.11 +92309,Saudi Arabia,2004,COVID-19,Bacterial,7.08,9.81,4.79,0-18,Female,502344,93.79,1.48,1.37,Surgery,27635.0,Yes,50.7,3809.0,3.09,22390.0,0.65,79.22 +92311,USA,2001,Alzheimer's Disease,Viral,18.59,6.73,3.46,0-18,Female,771120,69.49,1.4,1.02,Medication,44470.0,Yes,98.02,791.0,1.11,60439.0,0.75,34.15 +92313,Germany,2002,Tuberculosis,Autoimmune,4.11,6.93,2.86,19-35,Female,631633,89.13,3.49,8.97,Medication,29347.0,No,69.12,4206.0,9.99,49261.0,0.65,57.34 +92316,Mexico,2023,Measles,Genetic,1.58,9.75,8.61,19-35,Other,497917,76.04,3.95,8.88,Surgery,38748.0,No,90.87,23.0,7.71,55227.0,0.74,27.76 +92327,India,2001,Dengue,Bacterial,18.86,6.77,3.24,36-60,Other,673522,85.94,4.61,8.6,Vaccination,21733.0,No,81.2,2291.0,6.08,10654.0,0.44,47.4 +92341,Brazil,2005,Hepatitis,Infectious,19.91,9.55,2.74,61+,Female,466002,89.94,1.49,2.01,Therapy,48004.0,No,72.64,4398.0,6.68,36719.0,0.57,29.52 +92345,UK,2011,Asthma,Viral,4.67,13.42,7.91,36-60,Other,956135,75.23,1.67,9.35,Surgery,49402.0,Yes,69.2,2268.0,3.62,73093.0,0.64,63.73 +92353,Indonesia,2014,Rabies,Viral,6.12,4.69,2.05,36-60,Male,149155,99.38,4.04,4.68,Vaccination,6112.0,Yes,84.56,4075.0,4.53,32416.0,0.81,85.0 +92363,Japan,2018,Cancer,Infectious,9.95,11.74,7.35,19-35,Other,88130,79.22,1.67,1.98,Medication,20172.0,No,91.38,736.0,8.15,18940.0,0.65,47.54 +92367,India,2014,Alzheimer's Disease,Parasitic,4.35,9.68,9.37,19-35,Male,950480,51.39,2.71,2.37,Medication,19711.0,No,56.2,2480.0,7.16,73961.0,0.55,23.56 +92368,Saudi Arabia,2018,Alzheimer's Disease,Viral,9.53,12.87,2.69,61+,Female,201539,57.76,4.89,4.03,Surgery,33761.0,Yes,67.91,625.0,3.35,23638.0,0.76,53.93 +92369,UK,2007,Cholera,Viral,9.05,5.44,0.69,36-60,Female,361833,95.82,4.17,4.19,Therapy,37072.0,Yes,63.45,3191.0,1.41,44365.0,0.77,80.3 +92370,Canada,2019,Zika,Autoimmune,14.13,11.25,3.58,19-35,Female,877974,74.86,1.03,2.34,Surgery,3664.0,Yes,62.7,2112.0,4.98,99549.0,0.86,78.71 +92371,Nigeria,2022,COVID-19,Cardiovascular,7.16,12.01,1.64,61+,Other,434502,71.46,2.35,8.05,Therapy,31658.0,Yes,98.15,1238.0,1.43,46838.0,0.6,24.85 +92378,Germany,2020,Parkinson's Disease,Infectious,18.03,3.97,1.5,19-35,Other,601620,54.07,3.04,5.62,Vaccination,38244.0,Yes,81.41,3318.0,3.81,29284.0,0.64,55.95 +92380,Turkey,2013,Zika,Neurological,8.75,6.94,9.19,19-35,Male,710378,57.88,2.99,2.85,Vaccination,28294.0,No,71.08,888.0,5.48,91600.0,0.82,41.76 +92393,Canada,2007,Zika,Viral,5.66,6.26,7.0,61+,Female,983421,90.77,3.56,7.67,Therapy,43431.0,Yes,93.06,3248.0,6.88,92284.0,0.71,24.68 +92404,Italy,2024,Hypertension,Neurological,13.92,13.98,3.19,61+,Other,335542,73.81,2.79,6.07,Therapy,6823.0,Yes,98.87,2011.0,7.25,65914.0,0.74,46.99 +92406,USA,2023,Malaria,Autoimmune,15.53,1.01,9.42,0-18,Female,938539,90.04,3.8,9.64,Surgery,44363.0,Yes,83.77,2604.0,2.72,53516.0,0.76,24.03 +92414,South Korea,2022,Dengue,Chronic,14.92,14.56,7.12,0-18,Other,904106,93.83,1.32,1.55,Surgery,27536.0,Yes,89.03,3365.0,2.5,5184.0,0.72,76.22 +92436,USA,2024,Malaria,Autoimmune,18.3,7.21,8.46,0-18,Other,739696,57.1,0.72,3.59,Surgery,37534.0,Yes,72.22,2990.0,2.02,18165.0,0.65,45.83 +92444,Indonesia,2013,Hypertension,Cardiovascular,8.42,6.71,9.91,36-60,Male,402810,84.14,2.97,9.33,Surgery,3668.0,No,91.79,699.0,8.15,84289.0,0.52,52.94 +92445,South Africa,2002,Zika,Cardiovascular,2.03,11.54,9.12,36-60,Female,663823,72.26,2.68,5.02,Therapy,34252.0,No,90.82,4470.0,5.66,67989.0,0.8,22.9 +92449,Canada,2009,Ebola,Genetic,11.23,2.71,8.2,61+,Other,927047,74.52,4.09,1.59,Therapy,11301.0,Yes,55.03,275.0,0.99,61897.0,0.41,53.08 +92452,UK,2023,Hypertension,Chronic,4.49,6.67,6.11,61+,Other,792495,87.34,4.46,9.8,Surgery,49055.0,No,60.4,1152.0,4.84,90856.0,0.64,70.76 +92456,Indonesia,2017,Parkinson's Disease,Bacterial,18.42,12.21,9.49,0-18,Other,773570,63.23,1.59,6.71,Surgery,6749.0,No,57.75,3858.0,6.02,32369.0,0.43,37.08 +92458,Turkey,2000,Asthma,Neurological,6.44,8.76,0.74,0-18,Male,270751,82.93,4.44,9.19,Vaccination,12536.0,Yes,59.18,2685.0,8.62,2103.0,0.65,51.62 +92459,Saudi Arabia,2020,COVID-19,Genetic,5.71,3.6,6.57,0-18,Other,946613,92.49,3.65,6.97,Surgery,44372.0,No,65.61,568.0,5.41,54538.0,0.85,80.4 +92461,Italy,2004,Hypertension,Chronic,2.99,11.45,9.27,0-18,Other,131972,84.97,3.77,2.15,Vaccination,31318.0,Yes,66.02,349.0,6.97,38588.0,0.6,49.75 +92464,Turkey,2007,Hepatitis,Bacterial,4.6,2.62,3.41,19-35,Female,187961,73.31,1.52,5.11,Therapy,1505.0,Yes,93.94,2370.0,7.05,9876.0,0.87,35.49 +92465,China,2006,Influenza,Infectious,3.02,12.77,3.62,36-60,Other,462465,74.13,3.44,0.67,Therapy,32431.0,No,73.01,782.0,9.18,38717.0,0.48,44.56 +92466,Russia,2007,Malaria,Viral,11.18,10.59,3.02,61+,Male,189312,96.14,3.47,1.97,Vaccination,1174.0,No,57.67,4884.0,7.94,82396.0,0.52,24.47 +92473,Brazil,2017,Diabetes,Autoimmune,16.45,13.1,3.95,0-18,Female,597697,77.3,3.0,9.58,Therapy,38826.0,Yes,52.19,4706.0,3.2,76348.0,0.5,22.06 +92482,Australia,2022,Hepatitis,Infectious,16.82,13.7,8.62,19-35,Other,800890,65.61,4.05,8.99,Therapy,37983.0,Yes,82.86,1628.0,0.21,80766.0,0.57,73.41 +92484,Saudi Arabia,2008,Hypertension,Chronic,17.91,2.58,9.51,0-18,Male,163579,77.25,4.75,9.45,Surgery,48329.0,Yes,88.34,937.0,7.5,51048.0,0.83,27.78 +92488,Australia,2016,Hepatitis,Parasitic,3.93,4.3,1.68,19-35,Female,449377,80.18,1.82,6.68,Vaccination,106.0,Yes,87.16,4881.0,9.51,32021.0,0.42,32.81 +92501,Saudi Arabia,2004,Malaria,Genetic,8.97,12.33,1.16,61+,Other,837080,72.5,3.91,3.02,Vaccination,8731.0,No,76.89,3273.0,3.01,59399.0,0.53,70.87 +92503,Canada,2018,Measles,Respiratory,0.67,3.57,6.24,0-18,Other,642495,74.51,0.92,8.83,Therapy,49283.0,No,68.18,993.0,1.52,78380.0,0.66,85.44 +92505,Germany,2017,Measles,Infectious,10.09,6.49,0.84,19-35,Male,393319,53.18,4.3,1.67,Medication,22975.0,No,87.77,3853.0,2.03,31729.0,0.64,76.62 +92506,India,2018,Alzheimer's Disease,Respiratory,10.62,9.98,2.36,61+,Male,49825,85.79,4.28,2.78,Vaccination,45930.0,Yes,82.4,780.0,9.93,2410.0,0.64,59.04 +92509,Argentina,2016,Parkinson's Disease,Chronic,1.82,8.42,3.74,0-18,Other,690879,52.06,3.98,8.3,Medication,12301.0,Yes,73.02,4850.0,9.43,75289.0,0.43,24.18 +92518,Indonesia,2002,Alzheimer's Disease,Infectious,8.69,4.78,8.28,61+,Male,166021,98.57,0.77,8.94,Surgery,43037.0,No,55.03,1527.0,1.71,16551.0,0.61,61.1 +92519,South Africa,2014,Malaria,Bacterial,12.26,1.37,2.09,61+,Female,493927,90.09,4.85,4.36,Vaccination,16066.0,No,82.3,874.0,1.1,51031.0,0.84,69.49 +92523,Russia,2022,Diabetes,Cardiovascular,19.6,10.0,8.71,19-35,Female,117185,94.97,2.81,8.06,Vaccination,19655.0,No,87.36,4223.0,5.58,82765.0,0.89,30.29 +92527,USA,2003,Tuberculosis,Bacterial,10.44,5.19,8.71,61+,Female,476651,97.92,1.98,2.98,Therapy,47977.0,Yes,87.59,318.0,0.82,28569.0,0.45,64.92 +92532,India,2019,Leprosy,Respiratory,17.65,6.1,1.39,0-18,Female,319968,98.61,3.22,4.18,Therapy,34886.0,Yes,71.45,2311.0,3.44,42495.0,0.47,27.36 +92537,Nigeria,2021,Alzheimer's Disease,Respiratory,12.28,9.53,1.32,0-18,Female,347213,95.69,4.13,4.25,Vaccination,16081.0,No,69.43,1091.0,6.58,86526.0,0.67,44.42 +92552,Saudi Arabia,2002,Hypertension,Respiratory,7.16,3.1,7.34,19-35,Female,731576,51.93,3.76,8.69,Surgery,27696.0,No,69.93,2427.0,8.78,75902.0,0.45,29.17 +92554,Australia,2005,Hypertension,Bacterial,3.0,2.66,8.19,36-60,Male,853034,77.89,4.29,5.47,Therapy,9911.0,Yes,96.7,1629.0,1.73,30664.0,0.76,75.53 +92560,South Korea,2010,Hypertension,Parasitic,8.23,8.87,2.74,36-60,Other,870906,79.38,3.67,9.43,Surgery,198.0,No,60.98,2691.0,2.99,7530.0,0.64,69.29 +92563,UK,2015,Tuberculosis,Respiratory,9.14,12.47,4.43,19-35,Female,778147,80.79,1.2,3.04,Medication,17292.0,No,87.38,3211.0,4.97,15594.0,0.43,85.56 +92564,France,2010,Tuberculosis,Neurological,16.97,7.45,9.63,0-18,Female,114577,75.24,0.65,1.54,Therapy,15416.0,No,78.26,4795.0,2.48,7365.0,0.51,76.61 +92572,South Korea,2010,Zika,Infectious,13.24,13.34,5.03,36-60,Female,998568,66.53,2.79,7.02,Therapy,635.0,No,64.54,2775.0,2.15,17246.0,0.59,39.84 +92582,Australia,2012,Leprosy,Chronic,19.08,3.03,7.04,0-18,Male,31460,57.66,4.08,6.55,Therapy,13642.0,No,87.67,3662.0,7.21,2943.0,0.82,64.85 +92588,Turkey,2017,Alzheimer's Disease,Neurological,5.72,5.97,2.5,0-18,Other,642891,73.68,2.98,2.1,Therapy,27725.0,No,90.89,2232.0,5.61,73843.0,0.62,89.97 +92590,Argentina,2006,Cancer,Bacterial,12.24,13.57,7.23,0-18,Male,710511,95.6,3.94,9.44,Medication,15601.0,No,96.03,263.0,2.56,38938.0,0.44,66.51 +92613,Turkey,2007,Diabetes,Bacterial,3.15,3.47,9.53,36-60,Female,325552,97.17,3.42,1.29,Therapy,25679.0,No,65.5,2791.0,0.77,16134.0,0.46,88.64 +92618,Argentina,2001,Polio,Viral,13.12,7.27,3.4,19-35,Female,102810,95.5,0.98,2.17,Medication,17208.0,Yes,97.51,4480.0,7.67,62078.0,0.71,54.4 +92620,Nigeria,2007,Tuberculosis,Autoimmune,17.59,2.73,8.25,0-18,Male,779018,91.12,1.46,2.0,Surgery,26722.0,Yes,66.52,1153.0,8.14,82137.0,0.58,82.65 +92624,Germany,2001,Alzheimer's Disease,Neurological,7.28,10.77,7.33,61+,Male,702058,61.11,1.24,9.3,Surgery,2417.0,Yes,70.11,2754.0,5.86,56078.0,0.65,50.76 +92629,Japan,2015,Diabetes,Chronic,3.78,8.0,8.25,36-60,Male,418258,80.08,1.63,3.97,Therapy,27108.0,No,90.39,2985.0,7.07,37830.0,0.79,69.65 +92656,Indonesia,2005,Zika,Infectious,18.79,14.63,4.35,61+,Other,822834,74.46,1.74,0.8,Vaccination,38329.0,Yes,79.11,2245.0,4.78,69262.0,0.54,58.78 +92662,South Korea,2014,HIV/AIDS,Metabolic,5.43,8.34,6.88,0-18,Other,352469,97.54,3.73,1.67,Medication,41890.0,Yes,69.63,3783.0,5.94,16653.0,0.48,84.16 +92682,Turkey,2021,Polio,Genetic,2.1,2.35,7.28,0-18,Male,883806,59.48,1.79,9.08,Medication,49831.0,No,55.99,4274.0,1.2,2086.0,0.5,80.77 +92687,Italy,2024,Alzheimer's Disease,Chronic,17.46,13.73,2.23,61+,Female,647177,57.95,4.14,4.52,Vaccination,10612.0,No,51.99,3511.0,2.85,99386.0,0.78,87.64 +92689,Indonesia,2015,Leprosy,Neurological,15.04,0.95,9.54,0-18,Male,44787,61.24,4.89,9.15,Therapy,20146.0,No,83.17,3670.0,4.5,20676.0,0.59,36.3 +92690,India,2022,Zika,Neurological,3.1,14.83,3.44,61+,Female,756806,99.28,3.1,7.43,Surgery,47486.0,No,75.66,4212.0,3.68,1340.0,0.46,62.04 +92691,South Korea,2022,Tuberculosis,Viral,12.37,14.22,3.89,19-35,Other,749240,90.82,1.03,8.68,Medication,41899.0,No,68.53,2752.0,6.12,33663.0,0.54,66.03 +92712,Germany,2014,Asthma,Respiratory,13.67,7.12,3.37,19-35,Female,686124,70.61,3.81,7.94,Therapy,37172.0,No,74.68,2869.0,8.28,9911.0,0.79,41.25 +92713,USA,2020,Dengue,Respiratory,18.98,14.44,1.23,61+,Female,746177,64.7,1.83,9.59,Vaccination,13823.0,No,69.7,3060.0,7.52,7519.0,0.84,83.42 +92714,Brazil,2011,Influenza,Metabolic,5.49,6.4,7.12,36-60,Female,970249,94.88,3.2,6.4,Therapy,38221.0,No,53.04,3583.0,4.26,73676.0,0.57,26.83 +92719,USA,2005,Measles,Neurological,4.08,2.89,1.5,0-18,Other,414429,52.74,0.64,2.71,Therapy,36034.0,No,76.36,4304.0,3.07,80906.0,0.52,22.36 +92720,Germany,2004,Cholera,Chronic,19.67,6.8,9.81,0-18,Female,794764,73.88,0.56,8.43,Vaccination,17513.0,No,87.19,3300.0,3.18,67324.0,0.54,27.44 +92735,Italy,2004,Hypertension,Respiratory,12.24,4.03,7.26,61+,Male,392485,97.24,1.3,4.04,Medication,9273.0,Yes,79.14,3036.0,1.54,21944.0,0.48,39.35 +92739,Canada,2022,Ebola,Respiratory,11.44,13.09,2.68,0-18,Female,233183,67.13,3.1,0.71,Vaccination,31020.0,No,90.45,890.0,2.05,97408.0,0.69,83.13 +92742,Argentina,2000,Malaria,Parasitic,12.64,13.23,2.76,36-60,Female,774986,69.89,3.58,1.49,Vaccination,23993.0,Yes,89.66,11.0,3.79,46502.0,0.46,55.79 +92752,Germany,2014,Measles,Infectious,1.27,8.57,8.43,0-18,Other,442080,77.11,2.77,9.94,Medication,9245.0,Yes,84.45,1250.0,7.22,37385.0,0.58,62.96 +92757,Italy,2003,Cholera,Viral,3.19,1.29,8.16,36-60,Female,361848,64.49,3.64,1.22,Medication,26755.0,Yes,66.28,216.0,3.24,41204.0,0.73,83.97 +92761,Germany,2006,Rabies,Bacterial,2.95,2.12,4.75,61+,Other,499196,82.24,4.06,5.82,Vaccination,32135.0,No,70.66,3206.0,3.76,53089.0,0.47,53.05 +92765,Australia,2013,Ebola,Autoimmune,4.51,8.1,8.53,61+,Female,976656,75.01,3.82,4.09,Therapy,6952.0,Yes,72.12,3884.0,1.87,11420.0,0.81,70.19 +92767,Russia,2011,Alzheimer's Disease,Metabolic,11.93,14.72,6.05,61+,Other,832399,52.43,3.78,6.37,Medication,16658.0,Yes,50.56,2575.0,3.31,90551.0,0.89,41.01 +92768,South Africa,2005,Diabetes,Parasitic,17.98,9.58,9.12,19-35,Male,877990,60.47,3.53,7.96,Medication,27168.0,Yes,71.36,4177.0,1.02,24522.0,0.88,68.71 +92785,France,2012,Hepatitis,Genetic,2.79,4.03,0.21,0-18,Male,176550,69.86,2.66,2.98,Medication,16136.0,No,98.39,3163.0,0.22,78754.0,0.85,56.51 +92786,South Africa,2015,Cancer,Genetic,15.62,1.71,9.84,19-35,Female,502769,69.54,1.18,6.47,Therapy,3661.0,No,50.62,1775.0,9.81,21517.0,0.43,84.25 +92789,Japan,2017,Tuberculosis,Cardiovascular,17.16,11.37,0.69,19-35,Female,887800,98.62,4.62,3.88,Medication,22607.0,No,96.95,4061.0,8.09,73404.0,0.49,41.01 +92797,India,2010,Hepatitis,Metabolic,15.83,6.62,1.84,19-35,Male,422385,73.71,3.7,0.79,Therapy,12694.0,Yes,80.46,3712.0,4.14,7148.0,0.5,65.57 +92813,South Korea,2016,Influenza,Genetic,19.56,3.33,9.76,61+,Other,358758,55.78,3.17,5.13,Surgery,31791.0,No,50.22,3835.0,7.63,87866.0,0.65,71.53 +92818,USA,2019,Measles,Bacterial,13.95,12.4,5.8,0-18,Male,252372,61.51,2.78,4.99,Vaccination,46137.0,Yes,58.74,1871.0,6.93,50335.0,0.78,79.47 +92824,China,2001,Cancer,Cardiovascular,8.35,1.07,0.95,0-18,Other,235942,61.41,2.19,1.35,Vaccination,21824.0,No,80.83,2329.0,0.19,20530.0,0.43,52.46 +92831,South Africa,2024,HIV/AIDS,Respiratory,3.6,2.14,8.55,0-18,Other,76841,67.06,3.7,3.23,Therapy,3272.0,No,77.89,2880.0,4.02,40556.0,0.88,60.51 +92836,Brazil,2001,COVID-19,Cardiovascular,10.7,2.63,1.85,19-35,Female,988940,69.37,3.35,0.67,Vaccination,6680.0,Yes,67.09,554.0,5.59,65346.0,0.44,63.37 +92837,China,2007,Asthma,Chronic,13.1,8.93,1.01,0-18,Female,873670,78.6,1.41,3.68,Therapy,22637.0,No,50.48,2036.0,7.13,31655.0,0.72,82.96 +92839,Russia,2007,HIV/AIDS,Genetic,14.19,5.03,9.44,19-35,Male,697388,92.67,0.77,1.76,Surgery,18744.0,No,50.31,2656.0,9.52,26296.0,0.55,52.06 +92841,UK,2017,Ebola,Genetic,1.85,13.23,2.75,61+,Other,844212,96.57,1.4,4.06,Therapy,3164.0,Yes,65.45,2058.0,2.25,81562.0,0.46,21.44 +92849,Mexico,2005,HIV/AIDS,Genetic,13.8,13.59,0.65,19-35,Female,960317,98.66,4.29,2.01,Surgery,18271.0,No,69.52,3384.0,8.42,42460.0,0.49,70.29 +92852,Nigeria,2014,Leprosy,Bacterial,16.13,13.24,6.11,36-60,Other,690626,96.29,3.86,5.84,Surgery,3637.0,Yes,79.26,4601.0,6.77,82237.0,0.5,39.18 +92854,Japan,2024,Malaria,Viral,19.76,13.24,6.49,36-60,Other,282174,93.88,4.45,6.14,Medication,15883.0,No,94.24,653.0,4.93,98797.0,0.64,51.81 +92856,South Africa,2021,Diabetes,Infectious,9.77,9.46,1.76,61+,Other,172946,93.12,3.99,6.18,Vaccination,25180.0,Yes,55.67,4609.0,3.14,25545.0,0.72,30.25 +92862,Australia,2009,Influenza,Respiratory,6.81,7.66,9.81,61+,Male,888342,93.0,3.76,6.11,Medication,39763.0,Yes,59.99,2689.0,4.99,86230.0,0.75,64.22 +92869,Turkey,2010,HIV/AIDS,Neurological,6.85,4.22,1.9,61+,Other,515588,73.13,3.74,8.5,Medication,47173.0,Yes,50.83,3066.0,0.98,80212.0,0.64,65.93 +92871,India,2019,COVID-19,Cardiovascular,9.49,1.57,5.07,36-60,Male,477248,51.56,0.86,4.69,Medication,20019.0,No,87.46,4042.0,4.33,41333.0,0.86,51.41 +92878,Saudi Arabia,2012,Cholera,Chronic,11.5,6.02,6.83,19-35,Female,360425,61.36,3.18,8.73,Medication,33208.0,No,86.18,3871.0,0.14,43539.0,0.8,68.12 +92886,Nigeria,2016,Tuberculosis,Genetic,10.44,3.79,3.1,0-18,Other,473653,51.0,0.89,6.03,Therapy,8925.0,No,56.75,3143.0,8.74,67441.0,0.45,69.41 +92892,Italy,2001,Zika,Metabolic,0.87,2.52,7.95,61+,Male,297606,93.99,3.76,8.72,Medication,36068.0,No,58.11,3902.0,2.95,58211.0,0.49,34.48 +92896,Turkey,2007,Leprosy,Cardiovascular,3.77,3.34,5.61,36-60,Male,99614,67.87,0.75,9.11,Medication,43154.0,No,93.32,2903.0,0.63,29280.0,0.64,49.52 +92898,Italy,2005,Cholera,Cardiovascular,10.03,2.21,6.42,61+,Male,897181,54.29,3.66,3.58,Surgery,21037.0,Yes,82.96,942.0,4.1,51852.0,0.88,73.9 +92899,Italy,2000,Cholera,Genetic,10.68,10.63,4.1,0-18,Other,937053,66.77,2.6,7.88,Medication,49301.0,Yes,93.41,4065.0,1.92,21988.0,0.67,50.66 +92902,Indonesia,2008,Diabetes,Autoimmune,18.8,11.17,3.77,36-60,Female,18334,57.58,2.59,9.07,Therapy,8756.0,Yes,83.55,1681.0,3.9,55963.0,0.75,53.49 +92905,Saudi Arabia,2013,Cancer,Bacterial,11.33,4.49,4.76,19-35,Other,232367,74.72,3.01,3.84,Surgery,22420.0,No,84.99,260.0,6.16,46672.0,0.61,36.94 +92909,Japan,2005,Leprosy,Autoimmune,17.79,14.26,9.43,36-60,Female,262094,89.86,3.59,5.75,Vaccination,40140.0,Yes,88.33,236.0,4.59,28529.0,0.66,35.22 +92914,Germany,2022,Leprosy,Respiratory,8.23,10.63,2.25,61+,Female,905022,95.5,4.43,9.31,Surgery,4110.0,Yes,80.08,514.0,9.99,97351.0,0.56,80.71 +92920,India,2011,Diabetes,Neurological,16.73,3.61,2.92,61+,Male,682614,52.13,1.98,8.7,Surgery,17346.0,Yes,64.71,4221.0,5.29,95786.0,0.53,64.69 +92927,Brazil,2009,Hypertension,Parasitic,1.36,3.57,1.48,19-35,Female,222685,85.2,1.86,4.24,Medication,46591.0,Yes,95.87,3487.0,9.57,36474.0,0.88,64.85 +92934,Argentina,2009,Malaria,Viral,13.75,0.22,1.06,36-60,Female,858842,54.23,3.83,6.05,Medication,41948.0,Yes,95.81,4151.0,8.19,19752.0,0.59,34.21 +92935,India,2007,Alzheimer's Disease,Viral,5.1,12.52,2.29,0-18,Male,783981,91.91,2.31,8.82,Therapy,18573.0,Yes,98.38,1398.0,1.47,76019.0,0.88,26.28 +92939,India,2022,Ebola,Metabolic,2.35,13.34,3.18,36-60,Other,68501,89.82,1.72,6.21,Medication,8813.0,No,92.04,706.0,1.79,24403.0,0.43,61.54 +92944,Australia,2021,Measles,Bacterial,14.54,0.68,7.37,19-35,Other,443082,70.9,2.69,5.11,Vaccination,35473.0,No,93.12,1307.0,3.18,4621.0,0.56,82.91 +92949,South Africa,2009,Measles,Chronic,15.95,4.15,7.32,61+,Other,801233,76.91,3.01,6.64,Medication,32357.0,No,54.44,686.0,1.85,22069.0,0.61,29.61 +92954,India,2021,HIV/AIDS,Parasitic,2.98,2.21,6.34,19-35,Male,186014,60.68,3.88,5.63,Medication,28798.0,Yes,62.11,48.0,2.84,55651.0,0.88,24.18 +92963,Saudi Arabia,2001,Asthma,Viral,12.38,10.79,0.59,19-35,Male,136069,99.61,2.49,1.38,Surgery,2996.0,Yes,86.55,4137.0,2.89,90025.0,0.43,61.55 +92964,Australia,2008,Zika,Viral,6.63,8.73,2.46,19-35,Female,243831,51.22,1.42,4.53,Vaccination,44434.0,No,57.37,1049.0,6.64,31774.0,0.83,46.92 +92966,Italy,2011,Cholera,Chronic,13.7,9.04,2.92,0-18,Male,229869,55.97,3.44,3.69,Therapy,34077.0,Yes,90.53,4251.0,3.96,20518.0,0.43,41.74 +92967,Germany,2015,Alzheimer's Disease,Genetic,15.04,4.77,0.56,36-60,Other,99211,62.2,1.58,2.97,Therapy,7139.0,Yes,59.07,1247.0,8.55,93093.0,0.7,57.96 +92968,China,2004,Parkinson's Disease,Parasitic,18.42,12.57,4.86,0-18,Other,36803,58.8,4.92,2.51,Medication,761.0,No,57.0,47.0,5.82,22262.0,0.55,23.71 +92973,China,2013,Cholera,Viral,7.75,4.25,0.73,36-60,Male,185720,90.43,4.97,9.4,Surgery,12636.0,Yes,98.66,2367.0,8.78,90279.0,0.82,24.01 +92976,Saudi Arabia,2023,Dengue,Parasitic,18.02,11.46,6.61,36-60,Female,932693,80.68,2.52,2.91,Surgery,11380.0,No,56.45,1520.0,1.08,30950.0,0.77,87.13 +92978,Saudi Arabia,2003,Dengue,Neurological,0.96,7.31,9.72,0-18,Other,851969,57.54,4.5,1.19,Surgery,15703.0,Yes,63.48,935.0,8.26,82047.0,0.77,32.94 +92981,Saudi Arabia,2000,Influenza,Metabolic,18.67,0.73,6.17,0-18,Male,96607,58.83,1.63,5.05,Medication,44497.0,Yes,64.07,3725.0,9.0,92282.0,0.46,59.14 +92992,USA,2008,Influenza,Respiratory,15.22,2.15,7.31,19-35,Other,311022,57.75,4.05,2.76,Surgery,31101.0,No,57.77,3339.0,4.95,42903.0,0.42,68.44 +92993,South Africa,2014,Influenza,Infectious,11.76,12.68,9.63,0-18,Other,707431,82.84,0.67,1.9,Medication,3818.0,Yes,57.78,2868.0,4.17,57379.0,0.62,39.81 +92994,UK,2001,Polio,Viral,18.64,13.94,1.93,19-35,Other,97476,83.09,3.5,4.17,Medication,28853.0,No,58.96,4630.0,7.5,25006.0,0.63,54.95 +92996,Japan,2002,Leprosy,Chronic,7.16,12.74,0.49,0-18,Female,782711,71.52,1.15,9.88,Therapy,28045.0,No,89.22,3288.0,5.35,66768.0,0.84,22.5 +93001,France,2005,Cholera,Parasitic,9.86,12.57,1.71,0-18,Female,209712,52.44,0.93,5.96,Surgery,33797.0,No,94.87,4882.0,6.99,82253.0,0.51,89.59 +93003,Mexico,2002,Tuberculosis,Parasitic,18.43,10.74,1.95,36-60,Other,239903,57.87,1.04,9.81,Medication,24999.0,No,95.12,4710.0,6.48,3940.0,0.52,42.24 +93008,France,2022,COVID-19,Cardiovascular,4.41,13.44,7.12,36-60,Other,826671,76.29,1.2,5.65,Surgery,4757.0,No,63.11,3922.0,3.63,38286.0,0.79,40.23 +93009,South Korea,2003,Cholera,Genetic,5.49,14.54,6.18,0-18,Male,613396,66.29,0.76,9.07,Vaccination,15777.0,Yes,54.43,3107.0,9.17,48486.0,0.6,72.01 +93010,Australia,2006,Influenza,Chronic,16.31,6.96,1.72,61+,Other,570176,90.72,4.53,3.82,Therapy,4658.0,Yes,91.17,3766.0,7.48,66297.0,0.82,39.6 +93012,India,2002,Malaria,Viral,19.0,0.64,5.45,36-60,Male,28228,82.06,3.52,1.63,Medication,36734.0,No,98.27,4901.0,9.72,20396.0,0.72,22.6 +93020,Nigeria,2000,Tuberculosis,Bacterial,9.58,0.18,9.55,0-18,Other,877689,97.24,1.04,4.12,Therapy,7709.0,Yes,96.1,3561.0,0.21,18225.0,0.75,47.16 +93023,Australia,2004,COVID-19,Autoimmune,1.47,7.67,6.01,61+,Other,526012,85.2,4.77,9.88,Therapy,40471.0,Yes,53.42,252.0,5.02,95372.0,0.62,58.19 +93024,Argentina,2016,COVID-19,Autoimmune,2.78,14.18,9.42,0-18,Other,259818,87.19,4.65,7.47,Medication,25850.0,No,88.86,695.0,5.65,26981.0,0.46,66.32 +93027,Turkey,2016,Cancer,Metabolic,16.36,0.18,2.72,19-35,Male,687551,77.36,4.56,8.6,Medication,31155.0,Yes,97.5,1199.0,7.06,31031.0,0.82,57.02 +93029,Argentina,2020,Cholera,Autoimmune,0.9,5.19,9.39,61+,Other,315703,95.28,4.2,3.36,Medication,28370.0,Yes,77.12,2849.0,2.35,52915.0,0.52,53.7 +93036,Brazil,2013,HIV/AIDS,Autoimmune,7.41,2.51,4.98,0-18,Other,321459,62.05,1.49,5.54,Medication,5210.0,No,87.84,183.0,8.32,43586.0,0.55,44.04 +93060,India,2015,Zika,Respiratory,11.71,8.79,7.73,19-35,Other,488818,76.57,2.57,5.92,Therapy,16823.0,No,54.44,1287.0,9.15,73727.0,0.71,22.16 +93064,Mexico,2017,Malaria,Autoimmune,3.09,6.44,7.46,19-35,Male,781564,91.27,2.12,4.35,Therapy,33269.0,No,98.11,1018.0,7.51,37454.0,0.79,82.0 +93067,Indonesia,2015,Asthma,Genetic,11.55,2.77,9.51,61+,Male,800173,85.5,4.37,7.6,Therapy,16572.0,Yes,89.35,508.0,4.41,8455.0,0.85,75.0 +93068,UK,2006,Zika,Genetic,7.45,7.96,3.69,0-18,Male,65330,60.0,2.53,8.13,Surgery,36125.0,Yes,74.75,4337.0,9.44,94259.0,0.65,29.07 +93069,Saudi Arabia,2005,Cholera,Cardiovascular,10.65,12.38,5.7,0-18,Female,820056,81.84,4.66,6.57,Surgery,21075.0,No,90.47,1023.0,4.98,16535.0,0.77,53.45 +93083,India,2008,Diabetes,Metabolic,1.89,9.74,9.33,19-35,Other,246840,84.59,4.99,7.95,Vaccination,41234.0,Yes,71.16,2609.0,4.47,96382.0,0.46,57.7 +93085,Japan,2009,Cancer,Infectious,19.21,11.88,9.83,0-18,Male,346514,53.34,1.22,8.36,Medication,30258.0,No,50.78,403.0,2.2,21372.0,0.85,83.6 +93089,USA,2001,Measles,Autoimmune,2.91,8.65,3.56,19-35,Male,831245,98.12,3.02,3.93,Medication,19645.0,No,58.58,2142.0,8.75,23912.0,0.84,22.01 +93091,France,2023,Ebola,Genetic,16.72,5.73,9.55,61+,Female,298688,90.92,3.43,2.49,Vaccination,39345.0,Yes,97.71,3234.0,2.88,74247.0,0.7,82.57 +93097,Argentina,2022,Leprosy,Viral,0.33,3.07,3.86,36-60,Female,429437,66.91,4.92,2.06,Vaccination,44593.0,No,62.33,2339.0,3.77,22509.0,0.9,46.17 +93105,Nigeria,2001,Hypertension,Chronic,12.52,10.61,6.44,0-18,Male,249670,85.67,4.97,5.4,Medication,22495.0,Yes,56.23,4600.0,7.0,89477.0,0.47,41.35 +93109,UK,2004,Cholera,Neurological,4.89,5.79,2.71,61+,Male,218543,61.14,2.95,4.41,Medication,13097.0,No,90.04,3836.0,8.87,30645.0,0.74,24.8 +93116,Australia,2009,Rabies,Metabolic,3.26,1.4,7.26,0-18,Female,502100,80.48,4.23,3.89,Vaccination,30716.0,Yes,86.59,1496.0,0.42,22731.0,0.87,27.56 +93124,France,2010,Zika,Parasitic,5.01,13.28,2.89,0-18,Other,243170,90.79,3.34,4.07,Surgery,7203.0,No,65.12,152.0,7.31,44563.0,0.56,52.48 +93128,Germany,2015,Cholera,Neurological,12.89,12.1,8.11,61+,Other,554892,95.22,4.08,5.48,Surgery,26190.0,Yes,76.77,2154.0,2.05,33474.0,0.58,29.94 +93131,Australia,2001,Polio,Cardiovascular,14.79,7.5,9.3,19-35,Male,862823,98.65,4.14,4.79,Medication,38821.0,Yes,89.91,2172.0,5.91,19964.0,0.53,26.98 +93140,South Africa,2004,Rabies,Autoimmune,9.96,10.79,4.91,19-35,Other,813825,81.0,2.89,7.08,Medication,34146.0,No,78.3,3535.0,6.38,59095.0,0.57,57.44 +93141,Mexico,2019,HIV/AIDS,Bacterial,18.91,13.39,6.84,19-35,Male,101198,86.04,2.72,0.6,Therapy,14719.0,Yes,50.83,4884.0,8.18,89287.0,0.69,22.4 +93161,France,2022,HIV/AIDS,Neurological,7.86,4.34,2.18,36-60,Other,185395,53.75,2.13,7.38,Vaccination,28648.0,Yes,53.28,3806.0,4.11,62858.0,0.88,50.47 +93165,Turkey,2018,Rabies,Infectious,13.76,12.86,1.12,36-60,Other,601403,68.55,1.98,2.91,Surgery,43262.0,No,70.79,405.0,6.5,37821.0,0.9,75.45 +93170,Italy,2000,Cholera,Metabolic,19.88,6.28,5.41,0-18,Male,804724,61.7,3.94,3.99,Medication,21823.0,Yes,85.04,3936.0,9.01,91968.0,0.67,41.09 +93171,Germany,2011,Ebola,Viral,12.2,12.27,3.86,36-60,Other,124138,84.82,2.18,6.78,Medication,48988.0,Yes,51.88,2823.0,8.24,63988.0,0.63,28.86 +93173,Italy,2001,Ebola,Respiratory,1.63,8.86,6.49,0-18,Male,819172,63.43,3.77,6.36,Surgery,29481.0,Yes,96.09,2332.0,1.92,85091.0,0.81,81.48 +93176,China,2016,Leprosy,Respiratory,15.26,9.76,8.65,36-60,Male,482724,74.57,1.79,7.91,Therapy,31763.0,No,79.55,1093.0,1.45,29816.0,0.44,25.17 +93180,India,2019,Ebola,Chronic,2.54,1.06,6.99,0-18,Other,840887,62.18,4.05,2.05,Therapy,49346.0,Yes,96.86,1064.0,5.71,17854.0,0.67,34.48 +93189,Mexico,2008,Hepatitis,Genetic,10.33,10.77,5.26,19-35,Male,678479,55.3,3.35,3.65,Medication,9210.0,Yes,64.78,1968.0,0.92,14660.0,0.79,75.85 +93192,Canada,2000,Tuberculosis,Bacterial,5.0,9.78,7.01,0-18,Female,99522,96.88,3.85,4.78,Vaccination,11543.0,Yes,63.11,146.0,0.65,70876.0,0.79,35.79 +93193,Indonesia,2007,HIV/AIDS,Viral,2.91,11.77,5.79,36-60,Female,893508,98.15,4.52,4.27,Surgery,6385.0,No,68.73,1474.0,3.63,2892.0,0.49,60.49 +93194,Argentina,2009,Polio,Genetic,18.16,2.06,5.26,0-18,Female,43659,62.81,3.74,7.07,Medication,26631.0,Yes,75.11,2388.0,4.84,44783.0,0.42,77.89 +93195,Italy,2010,COVID-19,Cardiovascular,0.94,9.08,6.34,36-60,Female,48648,95.58,3.5,8.0,Surgery,42458.0,Yes,55.29,2137.0,8.99,28750.0,0.86,63.76 +93201,Canada,2009,Polio,Cardiovascular,4.94,10.2,8.38,36-60,Male,554459,63.65,3.59,4.98,Medication,10722.0,No,66.32,4380.0,7.28,91534.0,0.45,61.5 +93203,USA,2008,Polio,Autoimmune,5.33,0.69,3.9,36-60,Male,249087,82.89,3.01,4.72,Therapy,21850.0,Yes,57.67,213.0,6.53,81277.0,0.72,57.47 +93212,Italy,2014,Cancer,Cardiovascular,3.3,3.91,7.17,36-60,Female,24115,69.78,1.64,9.12,Vaccination,752.0,Yes,93.93,4516.0,3.81,27023.0,0.86,73.32 +93216,Italy,2011,Hepatitis,Neurological,4.76,6.47,6.98,36-60,Other,319569,55.8,3.13,1.52,Vaccination,42193.0,Yes,89.36,4156.0,2.05,92510.0,0.83,62.63 +93230,Australia,2013,Dengue,Viral,7.99,11.29,3.82,61+,Male,335270,51.54,1.12,7.64,Therapy,49181.0,No,71.17,1804.0,1.94,57806.0,0.8,31.84 +93233,France,2020,Asthma,Autoimmune,17.96,4.61,6.29,19-35,Other,810637,76.51,1.61,5.33,Medication,14381.0,Yes,55.35,4276.0,2.37,84478.0,0.42,58.66 +93235,Russia,2009,Polio,Autoimmune,14.3,6.11,8.72,36-60,Other,365242,81.09,2.02,6.7,Vaccination,33763.0,No,82.05,205.0,9.14,80404.0,0.42,51.7 +93236,Nigeria,2018,Rabies,Chronic,2.66,10.69,8.7,61+,Female,426562,87.46,3.58,5.55,Medication,16724.0,No,51.91,2580.0,4.62,44588.0,0.82,86.2 +93244,Japan,2024,Dengue,Autoimmune,0.87,1.25,8.72,19-35,Male,41189,96.9,0.93,4.0,Surgery,16923.0,Yes,75.08,3646.0,1.05,51524.0,0.8,45.39 +93249,Argentina,2011,Hepatitis,Respiratory,19.48,3.63,5.99,61+,Male,19348,88.46,2.32,7.01,Medication,7520.0,Yes,70.95,4953.0,2.33,28882.0,0.48,54.83 +93257,UK,2007,Diabetes,Neurological,19.08,6.5,8.23,19-35,Other,796551,69.99,3.53,6.57,Therapy,18631.0,Yes,98.44,233.0,6.48,50665.0,0.48,34.17 +93260,Turkey,2024,Alzheimer's Disease,Neurological,5.22,3.4,3.36,36-60,Female,977743,76.98,3.83,8.56,Vaccination,2191.0,Yes,98.95,3082.0,4.25,32314.0,0.49,20.59 +93262,Japan,2007,Influenza,Genetic,7.58,14.28,9.56,61+,Other,667037,74.29,1.71,7.0,Surgery,26755.0,No,64.32,2015.0,8.04,24552.0,0.59,40.44 +93266,Nigeria,2010,COVID-19,Parasitic,4.38,1.58,9.16,36-60,Female,849129,64.72,1.27,4.82,Therapy,42010.0,No,74.34,669.0,2.77,92266.0,0.6,39.61 +93273,South Korea,2004,Measles,Autoimmune,2.04,3.22,2.91,36-60,Other,489674,96.74,1.33,2.9,Surgery,22745.0,No,72.8,2955.0,3.83,70634.0,0.87,73.89 +93274,Argentina,2003,Malaria,Cardiovascular,6.26,9.29,7.46,36-60,Other,117567,60.1,2.91,6.08,Medication,26317.0,Yes,64.21,4289.0,0.62,79630.0,0.58,47.66 +93276,Mexico,2015,Hypertension,Neurological,7.85,14.56,9.9,19-35,Other,989213,98.77,1.91,9.86,Therapy,23812.0,No,79.34,2469.0,7.16,15217.0,0.72,41.92 +93285,Japan,2010,Diabetes,Parasitic,14.9,7.86,1.89,61+,Other,837284,76.96,1.48,8.05,Therapy,36304.0,No,61.27,3747.0,8.67,77652.0,0.61,68.64 +93290,UK,2018,HIV/AIDS,Respiratory,13.34,9.54,2.72,61+,Other,869398,82.89,4.06,1.99,Vaccination,8523.0,Yes,93.12,1225.0,5.82,48050.0,0.76,41.94 +93295,Argentina,2018,HIV/AIDS,Parasitic,9.46,6.89,0.94,61+,Female,920509,73.21,4.95,7.48,Medication,19552.0,No,77.77,4762.0,5.94,55539.0,0.57,85.15 +93303,Italy,2015,Rabies,Parasitic,9.72,2.0,7.85,19-35,Female,222971,71.46,3.56,9.78,Medication,21796.0,Yes,92.55,132.0,1.73,17156.0,0.47,45.82 +93306,Italy,2006,Leprosy,Chronic,18.12,2.32,8.79,36-60,Male,251819,76.51,2.51,4.19,Medication,21046.0,No,53.23,2729.0,8.1,75307.0,0.8,33.5 +93312,China,2017,Parkinson's Disease,Respiratory,1.14,6.08,7.44,19-35,Male,644750,65.35,0.87,2.85,Medication,45454.0,No,92.06,4261.0,6.53,39488.0,0.49,53.98 +93313,Germany,2014,Cancer,Metabolic,6.1,13.56,2.41,0-18,Male,210015,53.4,2.83,1.4,Medication,31779.0,Yes,58.26,3289.0,4.16,13592.0,0.49,51.26 +93323,India,2008,Diabetes,Neurological,10.45,12.57,6.01,36-60,Other,50405,71.23,2.52,8.23,Medication,36549.0,No,68.47,945.0,5.61,62397.0,0.44,82.26 +93329,Russia,2008,Dengue,Infectious,8.56,14.45,6.07,61+,Other,132666,88.17,3.22,6.3,Vaccination,9319.0,No,85.11,1655.0,9.47,6871.0,0.88,75.77 +93330,Nigeria,2018,Cancer,Infectious,18.55,4.28,1.58,36-60,Male,789452,97.01,0.91,6.77,Surgery,22801.0,No,85.61,4563.0,7.27,64088.0,0.89,75.01 +93334,China,2023,Influenza,Infectious,15.93,9.37,4.22,0-18,Other,416290,54.62,3.64,9.15,Vaccination,41123.0,Yes,86.74,4220.0,0.3,98405.0,0.72,26.79 +93338,India,2006,Parkinson's Disease,Bacterial,5.0,1.32,0.13,36-60,Other,401917,54.57,3.79,3.99,Medication,41856.0,No,97.28,3814.0,2.59,90192.0,0.67,55.67 +93343,France,2012,Cancer,Metabolic,8.29,6.28,4.54,61+,Female,144293,66.04,1.16,9.66,Surgery,41097.0,Yes,82.85,3949.0,9.87,34963.0,0.75,71.08 +93353,Mexico,2012,Hepatitis,Respiratory,13.1,2.39,9.57,0-18,Male,428224,63.78,2.66,5.11,Therapy,13769.0,No,52.83,4195.0,9.35,12315.0,0.43,74.32 +93357,Japan,2015,Leprosy,Autoimmune,9.07,3.53,1.27,19-35,Other,511176,64.03,4.38,8.31,Therapy,2981.0,No,73.45,2038.0,7.51,32650.0,0.58,28.3 +93362,UK,2015,Zika,Infectious,17.48,9.67,1.64,0-18,Other,190475,84.59,1.42,5.15,Therapy,46758.0,Yes,96.97,5000.0,9.43,47277.0,0.66,42.49 +93376,USA,2016,Polio,Metabolic,8.4,8.71,9.76,0-18,Other,402199,80.32,3.59,3.53,Therapy,19237.0,Yes,54.09,4451.0,9.46,52451.0,0.49,30.1 +93381,South Africa,2024,Hepatitis,Autoimmune,0.9,7.82,4.76,0-18,Female,270199,56.91,3.95,6.53,Therapy,18149.0,No,96.84,677.0,8.72,90840.0,0.56,55.75 +93384,Nigeria,2022,Dengue,Neurological,8.43,8.79,5.25,0-18,Male,252742,99.39,4.84,6.42,Vaccination,42877.0,No,59.22,918.0,1.18,97413.0,0.6,70.24 +93393,Turkey,2020,HIV/AIDS,Genetic,8.3,4.07,1.65,0-18,Male,497802,94.98,4.8,3.71,Therapy,42366.0,Yes,68.19,4353.0,6.1,95973.0,0.8,31.56 +93394,Russia,2019,Malaria,Viral,0.98,3.06,0.42,0-18,Female,783042,84.93,3.88,7.2,Vaccination,15275.0,Yes,86.22,4360.0,4.09,49945.0,0.9,53.11 +93395,Nigeria,2024,Cholera,Metabolic,14.08,8.87,1.29,61+,Female,796668,99.52,4.72,5.83,Vaccination,28205.0,No,57.94,3319.0,5.54,53385.0,0.45,60.28 +93412,Nigeria,2016,Dengue,Genetic,15.72,5.96,7.43,19-35,Male,771930,70.32,0.64,9.87,Vaccination,31857.0,No,74.19,3071.0,2.11,62019.0,0.74,82.14 +93415,Russia,2006,Leprosy,Viral,1.84,0.8,3.98,36-60,Male,256255,89.27,2.23,3.08,Surgery,34902.0,No,69.4,2889.0,4.16,74086.0,0.42,77.87 +93424,Nigeria,2003,Rabies,Metabolic,15.79,5.16,8.55,61+,Male,374293,91.26,2.29,1.34,Therapy,43727.0,No,88.76,1964.0,2.84,39149.0,0.89,58.78 +93425,Germany,2020,Influenza,Bacterial,15.67,3.27,8.09,36-60,Female,28406,79.28,1.62,8.71,Therapy,35220.0,No,83.84,4448.0,1.29,54028.0,0.73,29.08 +93443,Turkey,2024,Asthma,Respiratory,13.45,3.04,3.7,61+,Male,76914,60.85,1.5,3.3,Vaccination,48162.0,No,73.87,535.0,9.64,52814.0,0.86,56.52 +93444,UK,2002,Measles,Cardiovascular,13.81,1.45,1.78,61+,Male,660699,95.61,2.23,7.43,Therapy,8419.0,No,67.97,1855.0,9.08,19457.0,0.84,39.59 +93448,South Africa,2007,Polio,Cardiovascular,8.25,6.98,4.89,19-35,Female,438627,92.01,1.64,2.58,Surgery,2495.0,Yes,90.27,956.0,7.44,61945.0,0.73,76.71 +93454,USA,2011,Hypertension,Parasitic,8.14,0.75,2.67,36-60,Other,773972,82.8,4.34,6.97,Therapy,44041.0,No,98.45,2238.0,1.5,9732.0,0.66,74.56 +93465,Nigeria,2019,Leprosy,Neurological,0.51,12.63,9.4,61+,Female,800364,86.38,1.37,1.93,Vaccination,30146.0,No,54.62,684.0,8.01,57911.0,0.88,75.44 +93475,South Korea,2005,Hepatitis,Viral,13.4,6.38,8.76,61+,Other,125603,84.58,3.81,2.82,Therapy,45113.0,Yes,65.48,2906.0,0.35,25701.0,0.64,76.16 +93480,Germany,2019,Alzheimer's Disease,Neurological,3.29,14.98,4.48,36-60,Other,831086,94.18,4.94,6.09,Surgery,17137.0,Yes,68.99,4674.0,0.53,17210.0,0.62,59.42 +93483,Italy,2023,Hypertension,Cardiovascular,17.07,9.01,4.15,19-35,Other,323224,68.53,3.83,5.46,Therapy,32709.0,No,65.92,3216.0,9.78,63439.0,0.56,83.04 +93484,France,2007,Asthma,Chronic,19.48,4.98,9.33,0-18,Male,536342,92.75,1.26,7.76,Vaccination,44230.0,Yes,61.92,1451.0,9.77,68623.0,0.58,61.98 +93508,India,2009,Asthma,Respiratory,2.98,0.42,2.01,61+,Male,748013,96.98,2.02,4.21,Therapy,23006.0,No,96.04,3567.0,8.02,45220.0,0.64,46.86 +93513,Russia,2013,Polio,Neurological,8.35,9.37,1.12,0-18,Female,873921,53.78,1.04,5.8,Vaccination,1474.0,Yes,54.58,84.0,7.68,99321.0,0.67,31.42 +93517,Japan,2022,Cancer,Genetic,14.62,11.58,2.98,61+,Female,741539,94.95,2.13,9.22,Therapy,16469.0,Yes,71.13,2095.0,6.2,88901.0,0.82,47.12 +93518,South Africa,2013,Polio,Autoimmune,10.39,13.73,1.54,0-18,Male,114386,92.07,1.03,9.57,Medication,11100.0,Yes,66.19,363.0,0.56,34740.0,0.66,57.69 +93522,Mexico,2005,Alzheimer's Disease,Infectious,17.48,7.34,7.29,0-18,Male,464556,79.63,4.16,2.96,Therapy,22508.0,No,79.42,2005.0,5.95,77061.0,0.89,63.27 +93525,Japan,2007,Measles,Parasitic,15.28,2.61,9.76,0-18,Female,802133,82.81,4.55,8.9,Surgery,48729.0,Yes,58.25,2061.0,0.59,6593.0,0.65,81.46 +93535,France,2021,Parkinson's Disease,Respiratory,3.86,12.17,7.1,19-35,Other,555886,86.26,2.12,5.0,Vaccination,3400.0,No,55.73,1255.0,1.24,53492.0,0.65,75.52 +93543,Japan,2014,Leprosy,Parasitic,5.15,3.79,4.31,61+,Female,122175,90.42,1.63,6.48,Vaccination,32154.0,No,97.37,1850.0,3.38,2699.0,0.48,49.12 +93546,India,2006,Malaria,Genetic,16.89,4.07,7.43,19-35,Male,424012,93.3,2.91,5.46,Medication,2081.0,No,98.53,4773.0,2.27,62758.0,0.44,40.25 +93549,Turkey,2007,Cholera,Viral,6.26,0.19,9.07,19-35,Female,800757,86.02,1.18,3.55,Therapy,2399.0,Yes,85.43,4493.0,9.09,51605.0,0.71,66.46 +93558,China,2018,Measles,Respiratory,2.85,2.12,4.06,61+,Other,208170,75.5,1.85,3.23,Medication,9059.0,No,64.59,3197.0,7.84,41381.0,0.49,37.87 +93561,France,2012,Tuberculosis,Autoimmune,17.45,14.58,3.61,0-18,Female,488221,72.49,0.73,1.01,Therapy,6780.0,No,95.91,884.0,5.59,34517.0,0.9,56.22 +93566,India,2016,Zika,Viral,8.09,10.22,2.97,0-18,Female,191964,83.44,1.7,5.75,Surgery,26401.0,Yes,82.27,570.0,8.58,96897.0,0.84,76.07 +93569,South Korea,2014,Hypertension,Chronic,6.25,14.51,8.7,36-60,Female,483401,93.1,4.62,2.21,Therapy,8917.0,No,76.22,1156.0,3.3,33040.0,0.9,26.11 +93572,South Africa,2004,Zika,Metabolic,3.95,6.06,6.52,36-60,Male,321016,81.44,3.25,3.75,Vaccination,7527.0,Yes,96.37,4019.0,4.62,61317.0,0.48,85.03 +93575,Germany,2012,Rabies,Chronic,16.91,3.6,3.8,36-60,Female,87425,67.76,3.72,3.78,Surgery,14541.0,No,76.48,4339.0,8.74,74768.0,0.88,46.21 +93578,Nigeria,2009,Dengue,Neurological,12.02,9.47,6.52,36-60,Male,675936,82.98,2.59,8.29,Medication,47332.0,No,59.72,3776.0,6.39,84202.0,0.89,87.82 +93588,Germany,2021,Parkinson's Disease,Chronic,16.62,10.19,0.8,36-60,Female,935174,73.78,3.46,5.08,Therapy,834.0,No,64.91,2034.0,1.52,39581.0,0.89,52.7 +93600,Nigeria,2004,Leprosy,Chronic,5.78,2.15,8.76,36-60,Other,946166,79.31,1.94,1.53,Surgery,42141.0,Yes,50.74,3940.0,0.66,24298.0,0.74,54.3 +93625,South Africa,2002,Leprosy,Cardiovascular,16.59,13.42,8.89,0-18,Other,712647,58.09,1.0,2.34,Surgery,29635.0,No,61.25,4487.0,7.23,35754.0,0.5,86.61 +93627,Italy,2017,Cholera,Bacterial,18.08,1.05,8.86,61+,Other,216910,92.33,1.79,5.43,Medication,21114.0,Yes,55.52,1643.0,8.6,61768.0,0.6,59.9 +93646,South Korea,2003,Ebola,Neurological,10.34,13.06,8.87,36-60,Other,925554,66.83,2.73,5.25,Medication,1643.0,No,59.92,2149.0,6.23,95524.0,0.83,77.18 +93648,Argentina,2020,Dengue,Parasitic,12.36,10.92,2.2,61+,Other,52509,87.64,3.99,5.87,Medication,14432.0,No,64.52,3487.0,4.14,17229.0,0.47,22.93 +93650,Saudi Arabia,2002,Hepatitis,Viral,12.25,9.71,3.21,0-18,Other,608123,51.34,1.67,8.27,Medication,17396.0,Yes,93.5,4406.0,7.4,84092.0,0.69,83.62 +93665,Australia,2005,Leprosy,Bacterial,17.29,11.6,5.42,19-35,Other,782724,74.31,4.87,2.34,Medication,22118.0,Yes,70.49,2999.0,0.18,46511.0,0.48,75.4 +93669,Brazil,2007,HIV/AIDS,Chronic,15.72,7.63,9.12,0-18,Female,161648,57.64,3.6,2.71,Vaccination,17531.0,No,70.48,85.0,1.66,44855.0,0.69,36.32 +93670,Germany,2018,Asthma,Infectious,12.85,11.31,4.89,61+,Female,586063,91.65,3.61,7.38,Vaccination,16545.0,Yes,51.55,2210.0,6.82,84018.0,0.79,81.78 +93671,Saudi Arabia,2008,Cholera,Metabolic,12.67,5.34,4.02,61+,Female,263511,82.29,3.19,6.52,Medication,43569.0,No,61.1,1516.0,4.01,94265.0,0.7,37.84 +93673,USA,2017,Zika,Cardiovascular,15.08,0.96,9.07,36-60,Female,612914,64.07,3.97,8.89,Surgery,15121.0,Yes,75.62,2017.0,6.3,5743.0,0.73,36.78 +93676,Germany,2012,Dengue,Autoimmune,15.2,13.7,6.52,36-60,Male,939080,91.85,0.52,6.12,Therapy,41526.0,No,80.0,3040.0,3.19,20897.0,0.62,44.91 +93677,Australia,2021,Tuberculosis,Metabolic,2.57,5.57,0.97,61+,Other,905271,95.46,3.61,7.83,Therapy,48986.0,No,81.45,189.0,0.83,11407.0,0.8,40.77 +93680,Russia,2011,Measles,Cardiovascular,18.16,4.31,6.97,36-60,Other,880826,88.2,0.9,1.14,Surgery,34825.0,Yes,71.76,1061.0,8.3,84280.0,0.41,30.82 +93681,Nigeria,2000,Parkinson's Disease,Neurological,11.87,0.31,0.32,19-35,Other,823780,77.87,4.89,9.08,Vaccination,18327.0,No,93.47,1482.0,8.16,76480.0,0.71,41.42 +93689,Mexico,2024,Parkinson's Disease,Bacterial,10.22,5.47,7.21,19-35,Female,617237,97.79,3.33,3.3,Vaccination,10373.0,No,73.97,3503.0,4.03,8806.0,0.76,75.3 +93693,Argentina,2015,Diabetes,Chronic,19.84,2.18,5.92,36-60,Male,226411,58.13,1.25,2.87,Vaccination,27949.0,No,55.19,4507.0,9.07,38420.0,0.63,77.08 +93702,Germany,2005,Zika,Chronic,7.17,9.68,9.88,0-18,Other,466764,59.73,4.04,4.56,Therapy,47327.0,Yes,69.8,2082.0,9.13,57406.0,0.45,23.22 +93705,Mexico,2012,Measles,Genetic,14.42,14.54,2.22,36-60,Male,915400,73.08,2.45,7.36,Surgery,41371.0,Yes,93.17,3251.0,1.69,69680.0,0.49,75.59 +93706,Germany,2022,Diabetes,Metabolic,0.41,7.05,0.41,61+,Other,540482,55.16,2.64,0.9,Medication,38813.0,Yes,63.19,1076.0,3.46,16819.0,0.84,27.55 +93707,Argentina,2006,Rabies,Neurological,2.88,13.88,3.97,0-18,Other,608647,95.53,2.7,4.75,Medication,17369.0,Yes,75.91,2451.0,7.95,69724.0,0.76,77.19 +93713,Nigeria,2013,Cholera,Parasitic,16.85,6.82,5.48,0-18,Other,692173,90.33,2.81,5.61,Vaccination,20039.0,No,52.23,4715.0,4.06,95760.0,0.56,87.03 +93714,Saudi Arabia,2010,Malaria,Genetic,13.66,7.64,6.15,36-60,Female,425484,70.34,4.4,8.7,Therapy,6949.0,Yes,78.48,170.0,5.69,62020.0,0.64,31.67 +93715,Turkey,2008,Rabies,Viral,9.98,4.89,6.81,19-35,Female,419530,69.43,0.79,6.61,Vaccination,21481.0,No,78.0,3841.0,4.19,12633.0,0.79,51.1 +93717,South Africa,2021,Diabetes,Chronic,5.0,10.74,7.67,61+,Other,801776,81.64,3.97,6.25,Medication,3870.0,Yes,72.57,3036.0,7.78,94559.0,0.57,73.51 +93727,Russia,2005,Polio,Metabolic,16.76,8.94,2.24,61+,Female,461892,68.22,1.33,7.07,Therapy,33225.0,No,67.0,2997.0,8.08,17728.0,0.54,74.96 +93728,India,2020,Hepatitis,Neurological,18.21,1.49,1.8,19-35,Other,920926,91.49,4.65,8.77,Surgery,40942.0,Yes,70.32,4105.0,2.04,46720.0,0.89,69.38 +93730,South Africa,2015,Cancer,Infectious,11.61,14.25,9.81,61+,Other,656004,76.69,3.14,2.03,Surgery,36856.0,No,70.94,3886.0,1.73,48492.0,0.48,31.46 +93733,Germany,2001,Parkinson's Disease,Autoimmune,12.15,12.94,4.04,36-60,Male,476525,89.9,1.03,6.28,Therapy,41449.0,Yes,97.46,2073.0,2.25,42120.0,0.73,84.77 +93734,Brazil,2005,Leprosy,Genetic,11.03,2.14,6.78,19-35,Other,519125,76.89,0.8,2.47,Medication,26938.0,No,77.86,4476.0,8.26,71045.0,0.84,29.28 +93737,Canada,2022,HIV/AIDS,Chronic,5.29,4.25,3.51,61+,Male,861460,71.59,2.07,4.4,Vaccination,20251.0,Yes,95.91,976.0,6.05,85792.0,0.82,26.47 +93739,Russia,2024,Measles,Neurological,2.52,13.57,5.37,0-18,Other,605085,54.95,3.23,8.01,Therapy,30841.0,Yes,85.08,751.0,0.78,43361.0,0.48,31.69 +93745,Australia,2019,Ebola,Infectious,15.07,10.42,1.67,36-60,Female,129886,76.16,0.52,9.41,Surgery,16284.0,Yes,87.95,1290.0,4.77,23009.0,0.52,23.07 +93746,South Africa,2024,Tuberculosis,Respiratory,15.89,2.93,6.78,61+,Male,182070,97.26,2.52,8.54,Medication,24992.0,Yes,69.1,2395.0,9.02,3677.0,0.4,42.0 +93751,Saudi Arabia,2023,Leprosy,Neurological,3.44,6.11,5.9,0-18,Other,29056,62.51,2.33,3.63,Surgery,7068.0,Yes,55.55,2829.0,9.74,39560.0,0.63,40.93 +93752,Turkey,2024,COVID-19,Genetic,12.25,7.54,6.52,36-60,Male,870176,90.14,4.43,3.21,Surgery,19454.0,No,65.27,1516.0,0.47,51026.0,0.4,41.46 +93755,Mexico,2021,HIV/AIDS,Chronic,19.32,1.45,7.74,19-35,Male,636483,55.47,3.22,4.03,Therapy,38950.0,Yes,94.5,510.0,6.79,38931.0,0.83,88.64 +93763,Canada,2007,Influenza,Metabolic,9.26,1.62,4.11,0-18,Male,924523,95.67,2.07,9.77,Medication,28068.0,Yes,84.28,1401.0,1.7,78814.0,0.45,50.9 +93771,UK,2015,Polio,Cardiovascular,8.97,7.15,7.01,19-35,Female,769703,54.71,3.9,0.61,Vaccination,11164.0,Yes,97.5,1255.0,1.56,68735.0,0.83,28.71 +93773,South Korea,2015,COVID-19,Chronic,17.39,11.8,9.73,61+,Other,451159,80.57,2.39,3.19,Therapy,47021.0,Yes,88.39,1611.0,0.45,5267.0,0.67,50.11 +93774,Turkey,2013,Influenza,Respiratory,12.06,2.43,2.51,36-60,Other,407602,71.45,4.21,6.93,Medication,11851.0,No,95.28,1216.0,2.01,31045.0,0.56,49.46 +93777,Indonesia,2004,Parkinson's Disease,Infectious,15.76,6.98,1.67,36-60,Female,120066,57.4,1.05,9.26,Therapy,49175.0,No,96.59,1925.0,5.96,40763.0,0.71,30.81 +93780,South Africa,2006,COVID-19,Autoimmune,2.27,9.48,3.35,0-18,Other,840770,53.0,1.58,3.26,Medication,23159.0,Yes,83.24,1264.0,1.49,94151.0,0.53,39.94 +93781,India,2006,COVID-19,Parasitic,12.72,6.32,8.67,19-35,Other,537422,95.42,4.73,0.56,Vaccination,31672.0,Yes,51.03,4995.0,4.38,47231.0,0.46,70.01 +93788,Australia,2012,Rabies,Respiratory,19.03,11.36,0.17,0-18,Other,354271,99.93,1.9,7.54,Vaccination,24498.0,Yes,52.69,4082.0,5.06,76280.0,0.83,78.72 +93791,Japan,2004,Measles,Cardiovascular,12.1,3.71,4.94,0-18,Male,643039,76.44,2.8,3.8,Vaccination,37660.0,No,55.24,4560.0,6.45,18962.0,0.71,46.8 +93792,Turkey,2005,Ebola,Autoimmune,4.19,4.48,1.88,36-60,Male,557323,90.18,4.04,3.41,Surgery,7864.0,Yes,91.54,3922.0,3.34,80010.0,0.49,41.44 +93793,South Africa,2014,Influenza,Chronic,5.31,1.76,0.6,19-35,Male,460028,82.44,4.42,6.96,Therapy,20717.0,Yes,51.33,3638.0,8.35,41202.0,0.41,89.11 +93794,Australia,2013,Zika,Genetic,11.86,4.71,8.0,61+,Female,441698,68.83,3.74,4.01,Medication,9102.0,No,75.44,4098.0,0.88,89682.0,0.74,64.74 +93797,India,2007,Zika,Metabolic,8.62,11.4,4.9,0-18,Other,395824,67.61,2.11,4.17,Surgery,12137.0,Yes,80.61,939.0,8.38,56751.0,0.81,56.48 +93799,India,2019,Zika,Infectious,12.84,4.25,5.83,19-35,Female,106049,61.33,3.58,5.99,Therapy,14319.0,No,87.98,3912.0,6.3,78431.0,0.78,57.28 +93802,India,2006,Leprosy,Cardiovascular,17.83,10.02,1.58,36-60,Male,357921,67.45,3.75,2.07,Vaccination,38097.0,Yes,62.08,3585.0,5.17,37218.0,0.62,76.53 +93809,India,2012,Dengue,Parasitic,15.62,7.12,3.08,61+,Female,741035,94.74,2.35,6.66,Medication,46433.0,Yes,87.18,1190.0,6.03,69271.0,0.64,37.15 +93816,Turkey,2015,Dengue,Genetic,9.17,11.16,6.85,19-35,Other,98326,56.42,1.87,8.84,Therapy,28754.0,No,85.97,4088.0,4.86,34200.0,0.45,50.33 +93826,France,2006,Parkinson's Disease,Infectious,11.03,9.63,2.75,0-18,Female,508861,86.88,1.17,6.96,Vaccination,7985.0,No,92.53,1892.0,9.07,59109.0,0.69,80.4 +93828,Saudi Arabia,2005,Measles,Respiratory,18.87,13.3,0.43,19-35,Female,750602,98.4,0.97,7.31,Vaccination,45387.0,Yes,89.68,4046.0,4.34,6654.0,0.82,34.4 +93835,Turkey,2021,Measles,Autoimmune,13.85,4.33,1.88,36-60,Other,630117,54.5,2.79,5.27,Therapy,2520.0,No,75.45,2560.0,8.48,72062.0,0.65,35.02 +93836,Russia,2018,Malaria,Respiratory,12.6,2.37,5.82,61+,Male,723092,58.89,0.97,1.13,Vaccination,25667.0,No,50.82,145.0,1.55,24370.0,0.5,83.67 +93844,Italy,2011,Asthma,Cardiovascular,1.68,1.52,5.66,61+,Other,559894,61.22,1.84,5.07,Vaccination,46118.0,No,54.53,3467.0,9.47,11924.0,0.64,82.28 +93850,South Africa,2020,Hypertension,Chronic,2.51,6.15,8.44,0-18,Male,286884,60.05,4.35,5.48,Vaccination,29062.0,No,76.43,2603.0,8.05,57740.0,0.87,68.04 +93855,Mexico,2017,Cholera,Respiratory,16.18,5.89,4.27,36-60,Male,560045,65.8,2.15,6.1,Surgery,38391.0,No,80.2,1876.0,1.3,66501.0,0.66,43.14 +93856,Australia,2011,Cancer,Autoimmune,0.87,2.39,3.65,61+,Male,731231,83.99,4.8,1.84,Medication,46174.0,Yes,78.42,3483.0,8.63,57054.0,0.46,68.21 +93858,Germany,2016,Zika,Neurological,2.35,5.82,4.06,0-18,Other,867805,64.02,3.82,9.35,Medication,27414.0,Yes,69.64,3006.0,5.45,60502.0,0.68,27.89 +93861,Mexico,2014,Hypertension,Neurological,6.45,2.43,6.49,19-35,Male,672275,96.31,3.06,7.59,Therapy,10219.0,Yes,86.51,1498.0,8.73,45953.0,0.69,55.68 +93864,France,2020,Cholera,Bacterial,3.95,4.57,4.69,61+,Other,753822,86.78,2.87,7.97,Surgery,23016.0,Yes,54.82,4250.0,1.26,29868.0,0.52,84.24 +93865,Italy,2017,Hepatitis,Cardiovascular,1.21,6.43,2.93,36-60,Male,434882,72.43,3.35,1.11,Vaccination,16718.0,No,70.9,2873.0,8.28,54836.0,0.68,21.08 +93866,Indonesia,2006,Cholera,Viral,6.97,7.02,3.41,36-60,Other,585327,79.16,2.18,3.6,Therapy,329.0,No,92.5,3850.0,7.84,44359.0,0.67,63.91 +93877,USA,2015,Hypertension,Respiratory,5.96,3.13,0.52,61+,Male,498316,90.08,4.67,0.62,Surgery,8549.0,No,75.83,3595.0,3.61,77945.0,0.8,86.84 +93879,Saudi Arabia,2020,Hypertension,Metabolic,16.93,2.8,4.68,36-60,Female,928316,90.6,2.48,5.13,Medication,14425.0,No,90.88,4088.0,7.88,21121.0,0.5,68.69 +93882,Mexico,2023,Cholera,Respiratory,1.6,2.02,3.32,61+,Other,756719,55.89,3.41,9.65,Surgery,28380.0,Yes,89.5,4065.0,7.94,19278.0,0.84,78.79 +93883,France,2013,Hepatitis,Infectious,7.56,1.64,7.21,19-35,Male,512430,94.94,1.65,7.6,Vaccination,6580.0,Yes,83.23,944.0,5.96,13517.0,0.47,60.03 +93894,China,2023,Zika,Viral,11.13,12.34,1.23,36-60,Other,483950,81.1,1.01,1.72,Vaccination,49042.0,No,90.17,1863.0,3.1,91602.0,0.46,54.93 +93895,Australia,2023,Rabies,Neurological,1.31,5.91,9.04,61+,Male,31459,67.85,2.64,4.03,Medication,11011.0,No,92.88,2056.0,8.32,12130.0,0.54,32.77 +93902,India,2022,Cholera,Parasitic,12.8,3.12,0.28,0-18,Male,190425,87.43,4.88,2.53,Medication,21698.0,No,86.73,1907.0,9.62,21026.0,0.64,34.72 +93906,France,2002,Measles,Cardiovascular,19.42,8.97,9.05,0-18,Male,950827,87.02,0.53,7.27,Vaccination,26371.0,No,77.98,3512.0,8.41,29015.0,0.49,42.58 +93908,South Africa,2013,Cholera,Bacterial,19.83,5.06,5.96,19-35,Male,72638,82.57,2.51,5.36,Medication,32441.0,No,94.12,444.0,4.86,37510.0,0.75,75.52 +93909,South Korea,2022,Ebola,Cardiovascular,13.69,5.31,2.34,19-35,Other,267196,68.75,4.26,7.86,Surgery,46136.0,Yes,80.09,2843.0,9.47,40215.0,0.87,63.19 +93914,Nigeria,2011,COVID-19,Viral,4.31,12.75,7.54,36-60,Male,653444,61.18,0.63,2.22,Vaccination,30930.0,Yes,64.9,143.0,8.99,17382.0,0.78,52.12 +93916,Germany,2004,Ebola,Infectious,13.24,11.57,6.21,61+,Male,54470,77.84,0.79,5.03,Vaccination,26999.0,Yes,53.8,4129.0,9.35,96178.0,0.68,72.29 +93924,Australia,2015,Influenza,Genetic,3.36,3.27,7.35,19-35,Female,438175,99.92,2.96,0.85,Therapy,13983.0,No,50.54,4801.0,0.14,68824.0,0.66,55.94 +93929,Turkey,2018,Ebola,Metabolic,8.33,10.97,7.78,61+,Female,290633,77.34,3.55,4.5,Therapy,40062.0,No,54.02,4929.0,0.19,49249.0,0.7,65.43 +93930,USA,2009,Zika,Autoimmune,5.71,7.24,3.86,19-35,Male,735324,60.93,3.16,8.06,Therapy,2608.0,No,92.64,3001.0,3.66,3008.0,0.68,80.18 +93937,Italy,2002,Parkinson's Disease,Chronic,19.91,3.28,6.68,36-60,Male,521687,75.87,4.22,0.61,Surgery,37903.0,No,55.16,3978.0,0.99,22738.0,0.77,88.76 +93938,Canada,2022,Dengue,Bacterial,13.46,10.79,1.5,61+,Male,111097,66.86,4.03,1.01,Vaccination,30812.0,Yes,97.32,1177.0,9.48,15069.0,0.49,66.1 +93940,Turkey,2005,Alzheimer's Disease,Bacterial,3.13,1.69,7.15,36-60,Other,632905,79.41,0.99,9.14,Surgery,28942.0,Yes,58.46,544.0,2.4,32228.0,0.82,61.06 +93943,UK,2004,Leprosy,Neurological,13.96,11.36,6.8,61+,Female,605386,83.63,2.62,8.35,Vaccination,40509.0,No,98.13,2678.0,1.03,39528.0,0.77,77.39 +93944,Turkey,2001,Polio,Parasitic,17.94,8.65,3.82,61+,Other,69811,51.73,4.35,4.31,Medication,42034.0,No,59.68,3025.0,4.52,77742.0,0.89,74.14 +93954,Russia,2010,COVID-19,Chronic,10.36,11.3,4.37,19-35,Female,979069,55.79,4.91,2.59,Vaccination,13381.0,No,88.3,3660.0,0.43,87530.0,0.66,74.57 +93961,USA,2021,Leprosy,Autoimmune,4.99,2.56,8.61,19-35,Female,887879,94.04,2.18,6.02,Therapy,3447.0,Yes,82.79,4143.0,2.59,23067.0,0.68,64.97 +93973,Japan,2004,Parkinson's Disease,Chronic,16.29,13.76,1.93,19-35,Female,118608,65.19,1.6,7.62,Vaccination,4730.0,No,56.08,296.0,6.4,86609.0,0.5,20.65 +93977,Nigeria,2021,Rabies,Respiratory,13.11,9.98,5.66,61+,Female,510701,71.32,2.91,4.54,Therapy,2570.0,No,88.2,4100.0,2.33,65390.0,0.9,37.42 +93980,Italy,2017,HIV/AIDS,Infectious,17.56,12.12,7.96,61+,Other,22917,74.0,4.27,6.62,Vaccination,24813.0,Yes,82.5,744.0,9.04,3131.0,0.85,46.63 +93982,Mexico,2014,Tuberculosis,Metabolic,1.48,2.48,6.16,0-18,Male,287609,67.31,2.74,5.39,Surgery,38565.0,Yes,52.45,248.0,7.33,19207.0,0.68,57.54 +93999,France,2011,Measles,Autoimmune,8.27,3.75,5.31,19-35,Female,795980,65.09,0.75,1.19,Therapy,18323.0,No,64.05,1740.0,5.21,59950.0,0.46,42.64 +94001,South Korea,2002,Hepatitis,Infectious,2.92,4.59,0.12,36-60,Male,485553,79.74,2.75,8.66,Surgery,14636.0,Yes,81.84,2703.0,1.01,58103.0,0.71,53.95 +94007,Russia,2023,Zika,Genetic,16.52,2.28,5.28,61+,Other,528997,51.69,1.69,6.18,Surgery,15911.0,No,95.67,3191.0,3.06,36222.0,0.84,40.22 +94023,Argentina,2009,Parkinson's Disease,Cardiovascular,18.4,8.57,4.68,61+,Other,958485,54.65,2.08,5.4,Therapy,6197.0,No,66.12,378.0,3.01,68423.0,0.44,29.75 +94033,Germany,2002,Rabies,Neurological,18.72,4.68,9.69,61+,Other,5244,70.82,2.03,9.6,Vaccination,22170.0,No,64.73,920.0,4.74,40756.0,0.75,66.43 +94038,South Korea,2000,Alzheimer's Disease,Bacterial,12.45,4.36,4.21,36-60,Female,349846,79.41,4.9,2.02,Surgery,3880.0,No,92.7,1979.0,7.27,73092.0,0.88,87.66 +94046,Russia,2015,Tuberculosis,Metabolic,9.47,1.51,9.55,19-35,Other,85783,89.93,1.75,8.49,Surgery,33932.0,Yes,95.39,4227.0,8.67,32395.0,0.51,81.03 +94049,Mexico,2006,Ebola,Respiratory,9.93,12.35,2.74,61+,Female,345171,90.53,3.81,5.44,Medication,21693.0,No,63.83,2854.0,9.03,54438.0,0.54,78.45 +94052,Argentina,2016,Asthma,Chronic,14.56,6.89,4.72,36-60,Female,374424,82.78,3.11,7.54,Medication,40424.0,Yes,62.16,4658.0,5.78,18129.0,0.58,41.71 +94059,China,2022,Cholera,Viral,7.62,5.96,5.31,0-18,Other,770756,83.25,3.31,1.7,Surgery,8170.0,Yes,68.0,2574.0,2.2,70828.0,0.62,46.42 +94062,Argentina,2007,Asthma,Metabolic,10.97,10.7,2.39,61+,Female,680474,60.33,3.88,7.42,Medication,15365.0,No,60.01,4431.0,7.18,65548.0,0.68,47.97 +94063,Nigeria,2002,Cancer,Autoimmune,19.55,8.22,2.62,0-18,Male,484627,97.74,3.63,0.78,Surgery,18225.0,Yes,63.78,1198.0,8.01,21204.0,0.55,53.23 +94075,Turkey,2022,Ebola,Parasitic,12.75,11.32,0.43,61+,Female,129304,52.57,4.88,7.2,Vaccination,186.0,Yes,84.65,3379.0,9.56,99367.0,0.52,27.21 +94084,France,2021,Cancer,Respiratory,3.65,0.42,4.69,19-35,Female,313649,68.68,4.86,8.68,Medication,10354.0,No,52.31,229.0,3.99,29910.0,0.65,47.57 +94088,South Africa,2003,Hepatitis,Autoimmune,18.45,4.86,7.64,19-35,Other,15582,65.82,3.66,7.55,Vaccination,9974.0,No,71.02,2146.0,5.87,67728.0,0.43,30.75 +94090,UK,2024,Hepatitis,Infectious,15.18,14.59,6.54,0-18,Female,984573,50.47,1.95,5.67,Medication,43430.0,Yes,74.74,4333.0,7.87,48036.0,0.61,28.68 +94092,Indonesia,2008,Tuberculosis,Chronic,13.94,4.51,2.42,19-35,Male,520530,86.4,1.71,1.21,Therapy,18031.0,No,93.98,1377.0,2.26,68544.0,0.67,63.73 +94100,Italy,2018,Leprosy,Parasitic,10.49,14.99,9.25,19-35,Other,611882,92.12,3.22,1.77,Medication,40477.0,Yes,68.45,4907.0,7.58,94964.0,0.74,38.37 +94106,Italy,2001,Zika,Metabolic,14.68,5.25,8.0,0-18,Male,169172,79.88,1.63,9.08,Surgery,35644.0,No,50.24,2993.0,6.32,72987.0,0.51,21.38 +94113,Indonesia,2008,Ebola,Parasitic,16.1,0.56,6.16,0-18,Female,176414,83.93,4.16,6.86,Medication,38891.0,No,94.27,1819.0,6.04,34093.0,0.63,20.8 +94122,India,2005,Polio,Viral,2.86,12.32,8.96,19-35,Other,878761,80.34,1.56,0.82,Therapy,226.0,Yes,84.07,3823.0,7.08,95252.0,0.58,23.07 +94123,USA,2002,Diabetes,Parasitic,18.74,10.36,2.27,0-18,Male,678239,77.43,2.04,2.09,Surgery,21902.0,No,50.11,1642.0,2.39,32357.0,0.87,59.95 +94133,South Africa,2003,Parkinson's Disease,Bacterial,10.54,9.07,1.8,61+,Male,667060,61.3,1.16,8.56,Surgery,40537.0,No,78.15,3962.0,0.52,84469.0,0.43,44.14 +94141,Russia,2015,Parkinson's Disease,Cardiovascular,19.44,3.14,0.19,0-18,Other,243244,94.97,2.53,3.85,Vaccination,20090.0,Yes,82.27,886.0,4.48,20748.0,0.43,73.45 +94146,China,2015,Cholera,Genetic,19.7,4.65,1.93,19-35,Female,795660,56.77,1.55,9.21,Therapy,48601.0,Yes,93.78,3096.0,6.48,80885.0,0.87,32.59 +94150,Argentina,2007,Parkinson's Disease,Viral,3.15,14.84,9.03,61+,Female,204580,51.3,4.59,6.03,Therapy,22280.0,No,54.58,1739.0,0.41,28327.0,0.71,36.67 +94154,Canada,2023,Asthma,Chronic,17.47,14.46,3.54,61+,Male,860006,99.2,1.63,6.22,Surgery,9778.0,Yes,94.81,939.0,9.96,82893.0,0.45,71.75 +94157,Turkey,2011,Influenza,Parasitic,18.87,0.77,6.07,19-35,Male,316362,84.78,4.11,0.68,Vaccination,1448.0,No,63.74,1062.0,3.21,43173.0,0.77,84.13 +94158,Argentina,2002,COVID-19,Metabolic,6.61,9.75,6.04,0-18,Other,467685,88.32,3.77,9.42,Vaccination,6152.0,Yes,98.67,2700.0,2.33,25571.0,0.5,73.07 +94162,Canada,2015,Rabies,Infectious,9.2,13.11,3.14,19-35,Female,975984,63.84,2.45,9.91,Surgery,4242.0,Yes,90.88,856.0,7.34,89067.0,0.88,27.94 +94163,Nigeria,2007,Measles,Metabolic,12.63,6.31,2.99,61+,Female,385861,72.18,3.65,8.43,Therapy,27851.0,No,78.92,2220.0,4.09,33700.0,0.5,20.63 +94174,USA,2016,Measles,Neurological,11.85,9.59,2.33,61+,Female,290633,60.66,2.34,3.03,Medication,49540.0,Yes,81.72,4499.0,5.77,4583.0,0.47,82.95 +94177,France,2010,Leprosy,Autoimmune,6.69,12.43,8.66,36-60,Female,508953,91.73,2.0,6.27,Vaccination,37768.0,Yes,69.33,4630.0,1.0,80945.0,0.44,50.53 +94181,Brazil,2008,Leprosy,Neurological,14.02,14.48,0.55,36-60,Other,401890,57.52,3.66,0.58,Vaccination,46258.0,No,58.18,1043.0,5.16,9208.0,0.71,81.61 +94187,South Korea,2010,Polio,Metabolic,18.32,8.51,6.88,0-18,Other,821057,65.12,2.48,7.22,Therapy,43639.0,No,87.05,2000.0,9.38,20836.0,0.48,40.11 +94192,Nigeria,2000,Malaria,Bacterial,9.41,13.31,1.75,61+,Male,83753,76.48,1.33,6.07,Therapy,24158.0,Yes,86.6,386.0,4.71,80557.0,0.42,43.34 +94200,France,2001,Alzheimer's Disease,Respiratory,6.72,10.24,5.55,36-60,Other,521625,96.96,2.92,5.62,Medication,1401.0,Yes,70.49,4963.0,3.66,56241.0,0.77,45.4 +94214,Mexico,2011,HIV/AIDS,Neurological,0.48,3.47,8.28,19-35,Other,971006,90.95,2.73,3.21,Medication,40030.0,No,81.39,70.0,5.79,24913.0,0.75,70.17 +94220,India,2012,Dengue,Infectious,0.93,2.67,2.85,0-18,Female,567844,83.44,1.04,2.54,Therapy,3668.0,No,82.57,2693.0,4.07,71075.0,0.77,45.49 +94227,Indonesia,2018,Asthma,Respiratory,0.87,11.55,0.73,0-18,Other,125283,84.07,4.77,5.15,Therapy,13326.0,No,76.08,4804.0,1.45,20193.0,0.73,50.05 +94230,China,2001,Tuberculosis,Chronic,10.63,8.06,0.26,0-18,Male,354793,88.43,2.85,0.6,Therapy,1042.0,No,64.05,71.0,9.19,15361.0,0.89,45.4 +94245,Saudi Arabia,2023,Cholera,Cardiovascular,3.03,8.04,4.1,61+,Female,685755,78.88,2.92,0.54,Vaccination,947.0,No,67.67,3183.0,9.76,69728.0,0.58,56.22 +94246,Australia,2010,Alzheimer's Disease,Genetic,7.09,14.34,5.74,0-18,Male,336239,55.89,3.72,6.75,Surgery,31560.0,Yes,96.47,2008.0,5.7,17148.0,0.62,43.78 +94248,USA,2021,Cholera,Cardiovascular,13.87,5.31,0.57,61+,Male,468292,96.65,2.07,7.82,Vaccination,23028.0,Yes,67.69,2158.0,4.26,64470.0,0.5,35.57 +94253,Australia,2015,Zika,Metabolic,7.44,1.58,2.86,36-60,Male,250567,96.21,2.67,1.93,Surgery,28962.0,No,96.85,3623.0,7.53,63986.0,0.64,29.02 +94254,Canada,2011,Ebola,Metabolic,10.86,14.07,8.4,0-18,Male,516523,59.12,2.86,4.93,Medication,38815.0,Yes,67.76,1309.0,0.99,63847.0,0.78,49.03 +94257,Canada,2005,Zika,Genetic,4.32,5.47,7.54,0-18,Female,462348,70.03,4.34,1.97,Vaccination,14314.0,No,95.14,1962.0,6.55,5576.0,0.42,69.0 +94265,Australia,2003,Asthma,Genetic,10.46,2.63,8.39,36-60,Male,790598,62.95,3.46,7.51,Medication,5780.0,Yes,89.27,2414.0,6.17,29615.0,0.89,88.19 +94270,USA,2001,COVID-19,Chronic,10.89,9.37,3.06,36-60,Male,170199,95.08,4.44,1.41,Therapy,49015.0,No,87.62,3926.0,9.57,36214.0,0.73,54.55 +94274,Mexico,2017,Dengue,Autoimmune,1.0,10.38,4.8,19-35,Female,464642,96.26,1.26,2.26,Vaccination,16948.0,Yes,81.9,699.0,0.86,34595.0,0.69,45.82 +94284,Mexico,2005,Dengue,Viral,8.68,5.82,9.63,61+,Female,505343,55.35,4.71,1.59,Vaccination,1495.0,No,71.63,2514.0,1.23,30663.0,0.77,39.58 +94289,Argentina,2018,Zika,Chronic,19.61,8.84,8.34,61+,Male,239525,56.12,2.71,7.17,Surgery,8247.0,No,88.18,3606.0,3.86,82890.0,0.53,61.93 +94294,Japan,2014,Cholera,Bacterial,4.16,9.69,1.72,19-35,Male,120297,66.42,0.69,8.67,Therapy,27567.0,Yes,52.41,931.0,8.16,34724.0,0.51,69.97 +94301,USA,2019,Parkinson's Disease,Genetic,13.15,6.88,5.86,19-35,Female,986090,81.79,4.12,6.98,Surgery,44834.0,No,97.15,233.0,4.56,91705.0,0.52,82.22 +94302,Australia,2020,Rabies,Cardiovascular,17.32,8.13,0.35,19-35,Male,898272,91.83,2.6,4.39,Medication,49596.0,No,75.51,1366.0,1.22,56711.0,0.57,76.78 +94303,Brazil,2001,Polio,Bacterial,1.03,11.16,8.54,36-60,Male,501078,51.58,4.62,0.58,Medication,14647.0,No,88.2,3969.0,8.45,28775.0,0.79,37.52 +94304,France,2013,Tuberculosis,Neurological,12.09,14.2,5.42,61+,Other,769746,62.0,1.97,7.24,Surgery,15628.0,No,89.55,2491.0,7.33,97526.0,0.84,28.16 +94310,France,2022,Dengue,Metabolic,9.26,4.61,6.34,61+,Male,771005,71.27,2.36,3.47,Therapy,26786.0,No,81.12,4617.0,5.62,68110.0,0.45,58.57 +94313,Japan,2005,Parkinson's Disease,Autoimmune,18.23,6.76,6.73,36-60,Female,420749,79.33,4.3,5.57,Therapy,3477.0,Yes,98.33,3346.0,3.71,36569.0,0.55,30.52 +94323,Brazil,2022,Alzheimer's Disease,Neurological,8.17,3.94,4.22,36-60,Other,649072,75.49,1.86,1.14,Medication,32293.0,No,90.41,1252.0,2.62,17118.0,0.48,73.29 +94328,Japan,2020,Cancer,Bacterial,6.6,11.41,4.75,19-35,Female,824916,96.72,4.46,0.68,Vaccination,33480.0,Yes,66.41,4091.0,9.99,61670.0,0.88,42.27 +94335,South Africa,2024,Hepatitis,Chronic,10.47,14.86,9.09,36-60,Other,186274,87.09,2.72,0.93,Therapy,8428.0,No,84.04,1886.0,8.25,85506.0,0.57,62.65 +94338,Turkey,2009,Leprosy,Bacterial,5.29,9.55,6.92,36-60,Other,257560,52.01,2.11,6.58,Medication,4085.0,Yes,63.5,2381.0,1.2,99044.0,0.44,26.14 +94342,USA,2012,Diabetes,Parasitic,3.23,2.82,5.7,36-60,Male,689922,75.13,2.44,7.37,Therapy,17839.0,No,64.74,447.0,9.04,85011.0,0.9,80.45 +94344,USA,2021,Alzheimer's Disease,Cardiovascular,3.51,10.57,2.45,36-60,Other,857097,67.1,1.49,4.19,Surgery,18965.0,No,88.65,3864.0,0.19,13257.0,0.52,35.83 +94346,Australia,2004,Dengue,Metabolic,4.54,10.57,9.94,61+,Female,767674,89.85,2.44,4.17,Surgery,48608.0,Yes,86.4,4217.0,8.52,15588.0,0.74,55.61 +94350,UK,2019,Polio,Respiratory,6.76,7.34,6.5,61+,Male,770562,66.97,3.38,8.92,Medication,11328.0,No,51.16,2852.0,5.47,84386.0,0.86,42.52 +94352,China,2015,Hepatitis,Bacterial,11.29,13.59,8.94,36-60,Other,402123,66.46,3.4,2.47,Surgery,43989.0,No,63.24,451.0,6.04,18978.0,0.76,88.25 +94355,USA,2020,Leprosy,Parasitic,4.02,8.76,7.04,19-35,Female,247483,81.6,2.19,4.24,Medication,28647.0,Yes,79.49,4760.0,5.96,47491.0,0.78,24.25 +94360,Brazil,2012,Malaria,Autoimmune,4.53,9.69,6.73,36-60,Other,258798,58.75,4.53,3.33,Vaccination,37251.0,No,75.44,826.0,2.25,58397.0,0.82,88.26 +94372,Indonesia,2015,Dengue,Cardiovascular,15.72,14.61,2.14,0-18,Female,713599,56.12,1.92,2.01,Surgery,6163.0,Yes,61.97,630.0,3.11,72278.0,0.59,42.01 +94376,Germany,2014,Malaria,Respiratory,5.98,3.46,6.84,36-60,Other,888168,53.09,2.96,9.86,Vaccination,1735.0,No,88.74,3339.0,7.13,63125.0,0.68,55.29 +94381,Australia,2012,Asthma,Cardiovascular,12.08,1.86,9.11,61+,Male,656492,65.18,3.45,4.06,Medication,27465.0,Yes,81.74,3608.0,3.48,72506.0,0.55,25.21 +94386,Italy,2018,Polio,Parasitic,17.21,14.72,5.36,61+,Female,716287,80.28,1.71,3.38,Medication,18280.0,Yes,72.51,2847.0,0.73,26752.0,0.73,53.38 +94391,Mexico,2003,Tuberculosis,Autoimmune,9.33,9.34,9.9,19-35,Male,108873,72.98,3.24,9.52,Surgery,43572.0,Yes,83.71,2200.0,9.49,42364.0,0.42,30.26 +94406,Indonesia,2006,Cancer,Cardiovascular,10.18,2.6,6.86,0-18,Female,674888,74.03,1.02,5.26,Vaccination,11732.0,No,51.67,816.0,4.9,37814.0,0.5,65.21 +94410,Mexico,2022,Ebola,Respiratory,6.33,14.03,2.28,19-35,Female,499191,81.48,0.93,4.33,Vaccination,47072.0,No,74.26,1079.0,9.76,69009.0,0.49,88.85 +94418,Mexico,2024,Malaria,Respiratory,14.96,12.78,1.46,19-35,Other,742153,61.48,2.55,0.59,Medication,27213.0,No,97.21,361.0,7.89,57601.0,0.88,62.0 +94425,Australia,2022,Rabies,Bacterial,19.41,3.57,9.81,36-60,Other,874807,68.0,3.18,8.35,Vaccination,24376.0,Yes,54.11,3267.0,6.18,22311.0,0.67,58.62 +94432,South Africa,2004,Dengue,Genetic,17.2,12.33,8.41,36-60,Female,808250,72.06,2.82,7.21,Surgery,20391.0,Yes,98.18,257.0,4.61,36183.0,0.88,36.07 +94443,Mexico,2020,Malaria,Cardiovascular,11.67,8.94,7.83,61+,Female,511397,52.47,3.67,0.77,Medication,33384.0,No,98.89,337.0,3.16,98502.0,0.43,81.58 +94444,Italy,2015,Dengue,Neurological,13.65,4.21,8.33,19-35,Male,381025,67.47,4.82,5.87,Surgery,36215.0,Yes,56.26,1074.0,1.28,22386.0,0.71,44.81 +94448,Mexico,2008,Parkinson's Disease,Chronic,15.55,6.44,6.42,0-18,Other,233919,61.28,2.73,5.56,Medication,2297.0,No,73.79,395.0,0.04,51891.0,0.53,50.85 +94457,Argentina,2021,Cancer,Chronic,8.44,12.05,0.89,61+,Male,632974,76.69,1.02,5.47,Surgery,19845.0,No,84.25,2790.0,5.58,49394.0,0.61,21.43 +94460,Germany,2019,Rabies,Neurological,15.86,14.74,3.61,61+,Female,197126,64.06,4.97,7.03,Surgery,13185.0,No,61.78,1087.0,9.33,65299.0,0.51,81.12 +94464,Russia,2024,Diabetes,Genetic,10.32,2.6,5.69,0-18,Male,714126,97.7,2.99,1.91,Surgery,28775.0,No,51.98,4037.0,0.82,12137.0,0.4,36.27 +94465,Brazil,2008,Tuberculosis,Genetic,1.19,4.18,8.99,19-35,Other,785738,97.42,2.7,9.89,Therapy,35250.0,No,59.21,4935.0,6.41,60618.0,0.44,67.22 +94472,Saudi Arabia,2021,Hypertension,Respiratory,8.82,8.11,5.78,36-60,Female,734543,56.78,3.95,6.21,Surgery,4835.0,Yes,83.31,2854.0,7.73,32564.0,0.77,21.21 +94482,South Korea,2015,Dengue,Metabolic,10.02,12.1,6.15,0-18,Other,393644,85.12,1.37,3.27,Surgery,30524.0,No,51.2,1850.0,7.52,19833.0,0.43,45.03 +94487,South Korea,2013,Parkinson's Disease,Autoimmune,5.24,12.7,1.76,61+,Male,202704,97.42,0.89,3.68,Medication,25570.0,No,65.62,2365.0,4.3,12967.0,0.88,52.11 +94492,Argentina,2014,Tuberculosis,Metabolic,1.83,10.38,3.34,19-35,Female,401636,59.54,3.7,6.52,Surgery,19963.0,Yes,83.57,4431.0,8.71,27679.0,0.54,28.06 +94496,Italy,2002,Measles,Genetic,15.06,1.32,9.92,36-60,Female,290575,74.01,4.89,7.18,Vaccination,37630.0,No,95.92,2394.0,8.4,93945.0,0.84,37.85 +94503,Saudi Arabia,2007,Ebola,Bacterial,17.61,6.06,5.77,61+,Male,14069,57.24,1.25,8.48,Surgery,36525.0,Yes,50.13,2558.0,4.77,78285.0,0.71,86.46 +94506,Turkey,2001,Hypertension,Metabolic,8.52,6.66,4.96,19-35,Female,635442,92.5,1.33,0.72,Therapy,47885.0,No,87.85,432.0,1.04,84487.0,0.56,63.53 +94509,Nigeria,2017,Rabies,Parasitic,8.16,14.71,1.68,36-60,Female,782984,93.81,4.23,7.74,Surgery,34113.0,Yes,67.12,3376.0,7.89,75302.0,0.79,83.75 +94512,Russia,2022,Tuberculosis,Bacterial,7.51,5.63,7.3,19-35,Male,773679,96.58,4.57,8.23,Vaccination,36925.0,No,59.8,3971.0,0.92,78559.0,0.84,82.49 +94524,Mexico,2007,Diabetes,Neurological,1.97,11.76,4.03,19-35,Other,716037,79.24,3.85,6.39,Surgery,49255.0,Yes,90.71,4157.0,1.12,49934.0,0.77,24.48 +94526,Turkey,2007,Rabies,Neurological,7.94,4.04,7.46,36-60,Female,596019,58.59,4.53,5.02,Surgery,17626.0,Yes,69.16,1297.0,6.31,6018.0,0.69,77.1 +94530,Indonesia,2014,Polio,Genetic,9.71,13.09,7.83,61+,Other,161646,95.69,3.27,1.2,Surgery,28382.0,Yes,79.85,2233.0,3.74,61393.0,0.61,84.61 +94538,UK,2011,Tuberculosis,Chronic,5.76,9.76,5.11,19-35,Male,881247,88.64,2.26,4.06,Vaccination,37105.0,Yes,83.0,4603.0,7.66,21368.0,0.81,57.18 +94540,South Africa,2010,Zika,Infectious,4.61,13.66,4.1,61+,Male,426083,80.6,1.66,6.13,Vaccination,4391.0,No,97.3,4655.0,7.79,99596.0,0.57,85.32 +94541,Italy,2002,HIV/AIDS,Infectious,12.11,6.03,5.93,61+,Female,898835,81.2,2.88,7.09,Surgery,22799.0,No,76.78,2524.0,6.3,24370.0,0.76,78.88 +94545,France,2023,Diabetes,Bacterial,13.37,6.05,7.39,61+,Female,704407,64.89,2.5,5.32,Medication,14504.0,No,53.06,4801.0,5.79,6932.0,0.81,29.8 +94548,Indonesia,2005,Rabies,Chronic,10.11,13.64,0.76,0-18,Other,883012,74.56,3.89,7.29,Vaccination,46180.0,No,96.95,1080.0,7.01,19163.0,0.45,58.43 +94552,South Korea,2009,Hepatitis,Bacterial,15.1,4.43,5.49,36-60,Male,88901,51.35,4.14,6.92,Medication,9074.0,No,90.04,1982.0,9.71,57496.0,0.78,78.1 +94553,Italy,2011,Influenza,Bacterial,14.47,4.62,3.55,61+,Female,60499,83.64,1.64,1.2,Vaccination,7205.0,Yes,82.29,1962.0,9.49,25103.0,0.87,74.1 +94565,South Africa,2008,Tuberculosis,Viral,19.81,11.28,1.2,36-60,Male,718742,76.64,2.75,4.78,Vaccination,11600.0,No,63.51,262.0,6.55,91351.0,0.74,57.12 +94568,USA,2004,Diabetes,Parasitic,13.1,4.44,7.56,19-35,Male,979057,91.23,1.94,2.76,Vaccination,14270.0,Yes,55.74,1868.0,7.24,27437.0,0.65,74.83 +94570,South Africa,2024,Rabies,Viral,2.65,0.32,9.39,19-35,Female,318200,74.13,0.59,9.41,Vaccination,41666.0,Yes,72.71,43.0,7.0,22870.0,0.86,46.25 +94571,Saudi Arabia,2002,Cancer,Bacterial,6.79,12.56,7.28,36-60,Male,377105,93.28,0.87,5.64,Surgery,24803.0,Yes,72.39,1273.0,0.3,75725.0,0.67,59.55 +94572,USA,2020,Diabetes,Genetic,18.05,6.37,1.59,36-60,Male,555103,66.84,3.46,2.17,Medication,31650.0,No,93.01,4311.0,8.78,53718.0,0.57,36.52 +94573,UK,2018,Cancer,Neurological,5.93,2.59,4.21,61+,Other,567991,87.5,2.44,3.72,Therapy,5330.0,Yes,53.96,936.0,8.53,28637.0,0.86,57.74 +94575,South Korea,2020,Zika,Bacterial,15.66,13.16,3.03,36-60,Other,234015,78.43,3.71,9.73,Surgery,13830.0,Yes,84.03,3744.0,2.14,41379.0,0.85,41.52 +94578,Russia,2016,Cholera,Autoimmune,3.76,6.58,0.11,61+,Other,416938,86.65,2.45,9.91,Vaccination,46686.0,Yes,58.58,3738.0,5.58,22520.0,0.89,73.73 +94581,France,2003,Malaria,Genetic,9.47,3.9,8.93,19-35,Female,675875,61.97,0.56,6.55,Surgery,20394.0,No,64.8,4414.0,9.08,93505.0,0.41,26.22 +94600,Canada,2008,Hypertension,Viral,13.71,2.32,6.78,0-18,Female,441273,85.54,4.43,2.87,Therapy,40496.0,No,54.7,2774.0,8.23,53876.0,0.5,58.58 +94616,USA,2002,Rabies,Infectious,0.4,11.08,6.41,36-60,Other,747446,79.48,3.57,9.58,Surgery,7854.0,No,91.96,1363.0,7.26,68047.0,0.73,37.02 +94619,Mexico,2014,Hepatitis,Bacterial,7.06,12.27,5.97,61+,Female,658006,79.05,1.51,7.47,Therapy,11548.0,Yes,83.35,2650.0,4.86,65034.0,0.9,22.57 +94622,South Korea,2013,Malaria,Parasitic,19.95,3.24,8.55,61+,Other,783613,99.7,0.87,6.5,Medication,27242.0,Yes,59.96,4374.0,0.98,32201.0,0.67,44.36 +94634,France,2005,Measles,Cardiovascular,9.7,1.03,5.25,36-60,Other,674508,94.57,1.2,4.53,Medication,14742.0,No,65.5,2626.0,9.05,46370.0,0.9,31.41 +94641,Italy,2016,HIV/AIDS,Parasitic,16.71,3.48,3.74,0-18,Female,786454,83.23,3.39,5.02,Vaccination,20544.0,Yes,64.56,4567.0,7.03,44560.0,0.57,87.04 +94654,USA,2004,Hypertension,Genetic,13.64,7.88,9.17,61+,Other,719291,81.82,1.77,7.32,Therapy,47674.0,No,85.67,4316.0,5.89,50969.0,0.82,89.64 +94661,USA,2000,Zika,Chronic,1.61,3.52,1.23,0-18,Other,1609,83.97,1.47,8.36,Vaccination,2461.0,Yes,76.69,2964.0,4.0,39553.0,0.87,61.6 +94668,UK,2012,Ebola,Autoimmune,14.75,14.06,6.66,61+,Female,507291,93.52,3.76,1.9,Vaccination,31895.0,No,84.4,2298.0,7.48,12543.0,0.46,67.25 +94669,Brazil,2023,Cancer,Cardiovascular,11.58,12.7,5.49,19-35,Female,634205,66.9,2.12,1.51,Therapy,9948.0,No,70.38,3347.0,1.05,77924.0,0.56,72.5 +94677,USA,2001,Parkinson's Disease,Bacterial,4.51,9.54,7.16,36-60,Other,605492,95.48,2.0,6.63,Vaccination,47721.0,No,69.26,1406.0,7.59,41866.0,0.82,31.53 +94678,China,2017,Hepatitis,Genetic,8.42,13.01,1.3,61+,Male,242512,88.9,4.88,1.34,Medication,12667.0,No,88.88,722.0,2.52,71378.0,0.41,50.11 +94679,Australia,2005,Ebola,Bacterial,4.37,0.16,0.65,19-35,Female,433883,61.25,1.28,9.47,Surgery,26228.0,Yes,78.11,4753.0,3.89,81719.0,0.66,32.65 +94684,Indonesia,2016,Parkinson's Disease,Genetic,0.92,2.35,3.29,19-35,Male,382554,55.98,3.75,8.22,Therapy,19742.0,No,54.86,2512.0,0.39,79131.0,0.69,59.08 +94691,Indonesia,2013,COVID-19,Viral,8.51,9.35,0.2,0-18,Male,192766,99.48,0.72,7.12,Surgery,20500.0,Yes,64.92,3616.0,5.93,8957.0,0.7,78.78 +94695,Japan,2020,Measles,Metabolic,2.21,10.5,8.9,36-60,Male,565218,65.13,2.95,9.69,Surgery,25576.0,No,97.57,1500.0,0.53,56336.0,0.74,39.4 +94696,Canada,2009,Rabies,Genetic,20.0,10.69,4.97,61+,Female,952355,76.57,3.39,5.73,Therapy,18807.0,No,69.76,565.0,2.53,77313.0,0.56,28.26 +94700,Brazil,2000,Zika,Cardiovascular,12.88,3.96,6.7,19-35,Female,516969,91.55,4.09,1.88,Medication,13349.0,No,59.04,601.0,9.61,39784.0,0.5,84.29 +94703,UK,2001,Tuberculosis,Genetic,9.91,10.48,7.03,61+,Other,18597,50.79,3.69,9.97,Therapy,48330.0,Yes,91.17,4355.0,9.43,727.0,0.78,24.4 +94704,Australia,2008,Cholera,Metabolic,10.69,12.78,5.8,19-35,Male,618560,52.14,0.8,3.3,Vaccination,26086.0,No,74.88,270.0,0.57,76551.0,0.51,78.73 +94705,India,2009,Dengue,Viral,10.62,10.84,3.9,36-60,Male,58683,99.48,3.17,0.57,Therapy,16502.0,Yes,93.38,4183.0,5.07,81438.0,0.73,36.05 +94706,China,2000,HIV/AIDS,Parasitic,19.34,6.03,0.87,19-35,Male,724401,92.4,4.05,7.13,Medication,24132.0,No,83.33,2276.0,9.58,8233.0,0.48,49.28 +94711,Germany,2016,Hepatitis,Neurological,10.99,11.8,7.3,0-18,Female,587653,55.09,2.7,4.57,Therapy,23948.0,No,74.47,2477.0,5.51,8662.0,0.49,58.96 +94715,India,2023,Diabetes,Bacterial,8.83,6.7,7.63,19-35,Other,758557,71.88,5.0,4.31,Therapy,177.0,Yes,86.97,3678.0,2.42,78467.0,0.71,71.33 +94717,Mexico,2000,HIV/AIDS,Respiratory,14.17,6.72,3.31,36-60,Female,951969,82.6,1.72,4.65,Therapy,6282.0,No,67.57,3017.0,7.47,4581.0,0.46,69.55 +94721,Indonesia,2015,Diabetes,Viral,8.46,12.98,6.24,61+,Female,233356,78.77,4.72,6.49,Therapy,44678.0,Yes,60.09,1154.0,3.74,65597.0,0.84,88.54 +94724,Indonesia,2009,Hypertension,Respiratory,5.67,13.37,4.52,0-18,Other,448538,68.3,1.67,6.74,Surgery,14447.0,Yes,90.12,3740.0,6.76,16677.0,0.72,51.77 +94737,Brazil,2016,Leprosy,Respiratory,18.14,6.8,1.96,0-18,Other,339884,86.14,1.82,8.26,Therapy,9959.0,Yes,57.75,1111.0,4.3,95710.0,0.69,55.51 +94741,USA,2020,Diabetes,Parasitic,16.39,8.09,1.01,36-60,Female,552175,85.28,3.5,3.25,Therapy,33573.0,No,56.32,1898.0,4.3,70296.0,0.6,65.51 +94746,Australia,2024,HIV/AIDS,Autoimmune,9.95,12.19,9.78,61+,Female,207564,86.33,0.69,5.58,Vaccination,39343.0,No,69.39,4518.0,9.3,87940.0,0.71,41.24 +94747,Argentina,2023,Polio,Bacterial,4.66,10.11,2.04,36-60,Male,698849,83.23,3.58,0.74,Vaccination,7646.0,No,61.78,148.0,3.28,89112.0,0.5,45.05 +94768,UK,2011,Asthma,Genetic,6.28,14.2,4.37,0-18,Female,795254,96.17,4.94,6.15,Vaccination,41847.0,Yes,80.8,1508.0,4.95,33981.0,0.79,74.08 +94777,Brazil,2015,Tuberculosis,Metabolic,11.28,6.67,0.79,61+,Male,886192,68.86,0.54,7.24,Medication,38799.0,Yes,59.64,157.0,9.82,59756.0,0.72,70.03 +94779,Argentina,2020,Tuberculosis,Respiratory,9.49,10.08,8.56,0-18,Male,403991,64.54,3.41,2.88,Medication,32136.0,Yes,83.1,1347.0,4.01,31989.0,0.86,63.91 +94780,South Africa,2000,Cancer,Cardiovascular,17.68,6.95,7.1,61+,Female,651720,52.09,0.74,4.58,Vaccination,15320.0,Yes,59.92,443.0,5.02,90291.0,0.48,26.6 +94794,Japan,2008,Leprosy,Infectious,8.39,13.16,2.13,36-60,Female,117204,78.13,4.63,3.1,Vaccination,36266.0,No,62.38,240.0,6.23,97790.0,0.75,52.88 +94796,Brazil,2008,Influenza,Chronic,9.52,4.58,1.43,36-60,Female,266337,86.32,3.64,5.22,Therapy,32103.0,No,51.3,3649.0,2.67,7451.0,0.78,57.41 +94805,Canada,2020,Hepatitis,Parasitic,7.31,10.48,0.34,0-18,Female,138014,63.97,0.8,5.02,Medication,18386.0,No,72.76,430.0,1.4,43512.0,0.46,24.03 +94806,France,2012,Diabetes,Neurological,13.81,14.1,3.46,61+,Other,115907,74.69,3.45,8.54,Medication,10347.0,No,58.53,2306.0,5.71,86950.0,0.55,24.9 +94810,India,2006,Cholera,Viral,9.71,12.23,0.15,0-18,Female,38384,62.44,2.57,1.04,Vaccination,30355.0,No,70.06,3231.0,9.95,27402.0,0.58,25.15 +94846,India,2004,Leprosy,Autoimmune,9.88,3.11,6.08,61+,Male,956161,75.01,1.17,5.23,Vaccination,3876.0,Yes,52.1,3314.0,2.46,38348.0,0.76,40.08 +94851,Mexico,2020,Tuberculosis,Cardiovascular,6.79,5.84,4.1,36-60,Other,971623,54.99,3.73,0.71,Vaccination,28860.0,No,94.4,2730.0,9.83,72121.0,0.69,32.48 +94859,Italy,2000,Leprosy,Genetic,2.15,1.07,6.01,36-60,Female,96120,56.32,3.07,1.69,Therapy,13201.0,No,81.38,4063.0,2.89,14566.0,0.84,40.27 +94865,Argentina,2016,Measles,Metabolic,6.46,2.44,4.21,61+,Other,829136,74.86,1.27,4.1,Therapy,47989.0,No,55.09,4439.0,7.89,48437.0,0.51,59.82 +94875,China,2003,Dengue,Neurological,8.95,14.32,9.83,36-60,Female,87109,67.29,0.75,6.66,Vaccination,807.0,Yes,51.79,4871.0,8.59,97072.0,0.86,54.54 +94879,China,2006,Cancer,Cardiovascular,2.75,4.03,2.41,0-18,Other,523108,53.2,4.36,3.21,Vaccination,7749.0,No,66.88,1198.0,5.01,50320.0,0.85,21.59 +94884,USA,2023,Parkinson's Disease,Genetic,11.23,14.79,1.53,61+,Male,786363,94.3,3.45,7.08,Surgery,30656.0,No,59.25,1812.0,7.12,50371.0,0.81,46.04 +94893,Russia,2022,Malaria,Respiratory,13.17,14.42,6.35,36-60,Female,378126,55.37,1.35,8.01,Therapy,47141.0,Yes,97.86,1253.0,7.93,75878.0,0.53,26.2 +94900,Indonesia,2010,COVID-19,Viral,3.92,13.26,1.79,36-60,Female,361435,82.33,4.04,5.24,Medication,26448.0,Yes,54.03,1428.0,2.97,46418.0,0.42,84.47 +94901,Indonesia,2014,HIV/AIDS,Parasitic,15.13,14.08,9.96,36-60,Male,401102,56.39,1.25,7.13,Therapy,39648.0,No,90.01,1953.0,6.34,37786.0,0.68,62.62 +94908,India,2015,Diabetes,Metabolic,5.52,1.1,7.4,61+,Female,954330,80.65,4.57,7.67,Vaccination,43373.0,No,79.31,1417.0,4.28,86253.0,0.59,72.15 +94912,South Korea,2015,Polio,Autoimmune,19.22,1.69,4.19,61+,Female,399490,85.34,4.23,3.78,Medication,27589.0,Yes,62.47,1739.0,1.77,85491.0,0.71,20.05 +94913,Australia,2004,Zika,Autoimmune,19.55,11.25,8.89,19-35,Female,306859,98.99,1.92,5.77,Vaccination,35135.0,Yes,89.94,1578.0,6.11,86668.0,0.53,37.33 +94914,South Korea,2010,COVID-19,Respiratory,17.66,4.24,9.48,61+,Other,232312,84.79,3.46,9.96,Vaccination,1534.0,No,54.51,206.0,6.11,34586.0,0.86,27.12 +94915,Nigeria,2012,Influenza,Chronic,2.63,2.3,1.74,19-35,Female,727334,79.6,2.21,4.59,Therapy,11855.0,No,80.97,1957.0,8.03,29818.0,0.73,64.3 +94916,UK,2001,Hypertension,Cardiovascular,14.95,2.34,0.58,36-60,Other,649129,85.44,3.06,8.38,Therapy,48734.0,No,58.79,2454.0,3.38,52354.0,0.76,88.83 +94919,Australia,2009,Cholera,Metabolic,18.29,13.1,4.35,36-60,Other,744566,96.11,2.71,1.5,Vaccination,15701.0,No,86.83,2841.0,3.01,56187.0,0.88,58.01 +94922,Russia,2007,Malaria,Bacterial,2.31,12.72,5.45,36-60,Male,974239,79.92,1.9,7.8,Vaccination,33380.0,Yes,93.34,3592.0,8.78,48537.0,0.58,60.16 +94925,Japan,2019,Cancer,Neurological,16.39,0.66,1.62,61+,Female,450174,65.46,3.2,4.36,Therapy,15421.0,No,88.47,2325.0,1.65,76313.0,0.81,68.19 +94929,France,2014,Dengue,Cardiovascular,19.35,10.14,8.31,36-60,Female,604169,75.06,1.0,3.55,Surgery,14801.0,Yes,61.58,4312.0,3.69,62156.0,0.41,53.21 +94934,Turkey,2014,Diabetes,Chronic,13.84,1.26,1.66,36-60,Female,280642,60.0,3.07,8.95,Medication,31220.0,Yes,76.65,3530.0,0.62,51044.0,0.62,57.66 +94938,Canada,2002,Tuberculosis,Genetic,18.8,14.44,8.57,0-18,Other,487865,83.88,4.53,4.32,Medication,16780.0,No,53.93,851.0,5.48,52625.0,0.51,64.39 +94947,Canada,2011,Rabies,Chronic,16.77,3.85,6.25,61+,Other,910865,73.1,1.45,2.31,Therapy,9103.0,Yes,60.03,251.0,2.08,45335.0,0.49,33.34 +94951,South Africa,2023,Tuberculosis,Parasitic,0.89,8.2,0.71,36-60,Female,532185,57.85,3.09,7.68,Vaccination,40187.0,No,79.33,2507.0,2.34,18973.0,0.43,40.56 +94955,South Africa,2015,Parkinson's Disease,Cardiovascular,1.49,13.99,8.26,19-35,Female,886438,57.3,0.77,9.41,Therapy,47925.0,Yes,81.13,362.0,5.12,56736.0,0.83,55.49 +94959,India,2001,Zika,Cardiovascular,18.93,4.46,6.35,19-35,Male,198949,60.65,4.81,3.05,Medication,24648.0,No,84.84,2897.0,2.7,50573.0,0.55,76.68 +94963,Russia,2015,Measles,Neurological,1.26,7.75,8.83,36-60,Female,940201,57.18,4.68,2.34,Vaccination,19866.0,No,71.56,3971.0,9.63,12223.0,0.75,72.67 +94965,Argentina,2017,Cancer,Bacterial,1.95,14.28,6.59,0-18,Male,662189,58.53,4.15,1.74,Therapy,14427.0,Yes,50.01,442.0,5.39,20951.0,0.53,33.32 +94967,France,2023,Diabetes,Infectious,16.63,14.03,4.0,61+,Male,454775,72.56,4.13,8.2,Therapy,4969.0,No,80.27,4689.0,6.99,76455.0,0.51,81.17 +94971,India,2013,Cancer,Infectious,12.94,8.09,7.83,19-35,Female,942914,91.55,1.99,4.91,Medication,16622.0,No,80.43,3627.0,2.68,22343.0,0.65,86.02 +94973,Australia,2012,Zika,Viral,0.89,14.84,7.6,61+,Female,620768,72.25,3.25,7.08,Medication,22331.0,No,91.26,1578.0,2.12,72482.0,0.46,88.07 +94975,Canada,2008,Hypertension,Cardiovascular,5.55,8.44,9.11,61+,Female,581415,52.2,1.62,9.53,Surgery,1025.0,No,98.48,2106.0,5.35,25128.0,0.54,63.4 +94977,Italy,2014,Zika,Neurological,13.07,10.85,3.01,19-35,Female,681348,66.84,1.64,7.56,Therapy,37776.0,Yes,60.72,2384.0,6.46,46718.0,0.56,76.12 +94981,Japan,2002,Hypertension,Genetic,14.8,2.67,0.51,19-35,Female,769491,57.38,4.37,1.13,Surgery,33198.0,Yes,92.86,1394.0,4.05,61129.0,0.51,28.47 +94984,China,2016,Asthma,Metabolic,11.32,8.72,8.98,0-18,Other,460341,91.01,4.22,1.04,Medication,10926.0,Yes,98.57,2964.0,4.5,47859.0,0.54,30.35 +94998,Japan,2000,Hypertension,Viral,2.88,10.4,9.45,61+,Female,246351,76.51,3.51,2.29,Vaccination,16429.0,Yes,59.88,1420.0,8.93,15711.0,0.49,30.93 +95000,Argentina,2011,Diabetes,Parasitic,15.22,14.89,9.53,61+,Male,734114,82.52,3.56,4.28,Medication,28854.0,No,70.29,3575.0,9.07,69126.0,0.9,52.42 +95001,Russia,2001,Diabetes,Respiratory,15.3,12.58,5.28,0-18,Male,213928,74.65,2.08,1.64,Therapy,9075.0,No,51.29,4625.0,7.71,38692.0,0.48,82.33 +95004,India,2015,Tuberculosis,Metabolic,19.08,13.44,1.31,61+,Female,427827,88.08,3.76,7.01,Therapy,43774.0,No,70.92,680.0,7.19,51803.0,0.65,41.54 +95006,Australia,2011,Dengue,Genetic,15.25,3.67,9.88,19-35,Female,719495,59.11,2.08,3.61,Surgery,42539.0,Yes,96.29,330.0,2.91,82859.0,0.48,27.76 +95012,Mexico,2012,Diabetes,Cardiovascular,0.91,9.34,6.91,36-60,Female,733200,77.19,2.22,9.09,Surgery,2343.0,Yes,90.28,4173.0,2.87,48305.0,0.71,46.11 +95015,Canada,2016,Zika,Viral,10.41,1.59,4.08,0-18,Other,4088,87.84,1.51,5.32,Surgery,39380.0,Yes,60.9,1891.0,5.0,54428.0,0.8,73.47 +95022,France,2015,Hepatitis,Neurological,13.3,3.28,0.81,0-18,Other,376008,87.05,1.68,2.31,Therapy,38520.0,Yes,72.16,425.0,5.51,74431.0,0.64,77.92 +95023,Turkey,2013,Polio,Bacterial,1.6,6.98,3.11,61+,Female,443205,91.33,4.83,8.2,Surgery,12042.0,Yes,50.79,957.0,9.24,66478.0,0.75,74.08 +95024,Indonesia,2021,HIV/AIDS,Chronic,3.5,14.16,9.94,0-18,Male,266158,97.59,2.53,9.73,Therapy,11306.0,Yes,77.66,392.0,5.8,34018.0,0.85,66.53 +95025,UK,2006,Polio,Parasitic,11.55,12.19,9.97,36-60,Female,493643,87.58,3.58,8.34,Vaccination,9924.0,No,92.54,4848.0,7.99,34209.0,0.73,70.95 +95026,Mexico,2019,Alzheimer's Disease,Respiratory,2.03,14.66,8.2,19-35,Other,453344,97.64,0.91,7.32,Vaccination,11409.0,Yes,95.67,4.0,6.39,34548.0,0.86,31.09 +95043,Japan,2018,Alzheimer's Disease,Autoimmune,16.74,5.08,9.59,61+,Female,55657,79.65,2.48,3.38,Medication,41671.0,Yes,77.07,923.0,2.24,49213.0,0.89,51.28 +95052,USA,2010,Ebola,Bacterial,12.65,0.85,2.09,61+,Female,38847,74.94,1.82,5.98,Surgery,39857.0,Yes,96.87,435.0,5.9,51355.0,0.61,64.61 +95054,UK,2023,Ebola,Autoimmune,0.92,10.83,5.45,36-60,Other,318081,71.13,2.53,5.08,Vaccination,39865.0,Yes,98.18,811.0,9.0,54180.0,0.89,35.68 +95061,UK,2013,Influenza,Genetic,9.65,7.98,9.47,61+,Male,591296,95.21,2.18,2.96,Surgery,29054.0,Yes,54.54,1491.0,1.47,96121.0,0.5,81.75 +95068,Italy,2012,Diabetes,Parasitic,0.97,6.49,4.81,36-60,Male,726445,55.38,2.73,3.47,Vaccination,14827.0,Yes,52.0,3278.0,6.48,15654.0,0.75,79.96 +95081,Argentina,2007,Cholera,Neurological,12.42,7.08,5.83,0-18,Other,803238,52.2,0.94,8.64,Surgery,30504.0,No,86.38,4245.0,4.56,16524.0,0.82,69.33 +95091,Germany,2008,Parkinson's Disease,Genetic,11.23,3.76,10.0,0-18,Female,156788,61.15,4.73,8.44,Vaccination,48099.0,No,70.6,1950.0,9.24,37030.0,0.86,20.75 +95094,South Africa,2019,Diabetes,Cardiovascular,1.69,7.99,2.81,61+,Female,786303,64.18,1.56,6.77,Vaccination,24534.0,Yes,72.11,901.0,6.87,55100.0,0.56,81.9 +95096,Canada,2016,Cancer,Viral,12.48,2.56,6.33,36-60,Female,574296,83.02,2.78,7.56,Therapy,40242.0,No,78.03,1565.0,4.96,76538.0,0.53,24.88 +95101,Turkey,2010,Parkinson's Disease,Infectious,19.19,12.09,7.41,36-60,Male,607540,89.73,3.53,6.51,Medication,30110.0,Yes,60.89,4030.0,3.64,13021.0,0.72,86.64 +95103,Nigeria,2013,COVID-19,Respiratory,6.9,3.49,6.26,0-18,Male,191556,72.06,1.36,7.4,Therapy,4406.0,Yes,51.28,1362.0,8.74,27261.0,0.78,75.22 +95107,China,2013,Asthma,Metabolic,17.32,1.48,3.87,61+,Male,702397,56.17,1.16,7.48,Therapy,5815.0,No,81.94,3760.0,8.04,35401.0,0.47,31.82 +95108,Argentina,2009,Ebola,Metabolic,11.28,8.48,5.57,0-18,Male,688599,73.9,2.04,5.03,Medication,8513.0,No,74.95,4946.0,9.0,39645.0,0.88,64.59 +95114,Italy,2016,Cholera,Parasitic,18.15,2.3,7.57,36-60,Male,938843,96.25,0.63,5.17,Surgery,9238.0,Yes,52.78,4577.0,5.25,78061.0,0.7,63.89 +95117,Mexico,2003,Hypertension,Infectious,16.96,2.42,3.55,19-35,Female,163144,71.89,1.75,3.88,Therapy,5188.0,No,79.67,2616.0,4.54,57309.0,0.87,27.93 +95120,South Africa,2013,Measles,Neurological,2.4,3.01,9.09,0-18,Other,98455,91.41,0.57,3.51,Medication,5133.0,Yes,57.13,3117.0,1.05,19480.0,0.43,21.85 +95136,USA,2013,COVID-19,Viral,6.34,4.63,7.31,19-35,Male,390419,65.47,3.22,4.46,Vaccination,44869.0,Yes,81.11,1574.0,1.03,16977.0,0.82,89.1 +95140,UK,2015,Parkinson's Disease,Autoimmune,8.26,1.74,8.08,19-35,Other,351179,98.33,4.17,2.1,Vaccination,46424.0,Yes,90.51,4204.0,4.68,72621.0,0.8,84.75 +95146,Turkey,2019,Parkinson's Disease,Neurological,1.92,0.79,8.57,19-35,Other,477878,99.58,1.41,4.89,Surgery,37197.0,Yes,75.65,4361.0,0.51,92373.0,0.86,56.08 +95147,Indonesia,2016,Polio,Bacterial,8.58,14.4,5.86,36-60,Female,713868,62.58,2.63,5.66,Medication,18346.0,No,58.21,357.0,9.85,13129.0,0.48,51.14 +95153,Japan,2022,Zika,Respiratory,4.19,13.35,0.35,61+,Female,655894,90.45,3.76,8.57,Vaccination,39995.0,Yes,72.38,995.0,1.16,24421.0,0.5,59.04 +95155,Russia,2019,HIV/AIDS,Cardiovascular,0.72,10.03,5.13,19-35,Other,599131,93.36,4.46,2.59,Surgery,1836.0,No,64.91,3568.0,6.0,81267.0,0.82,62.11 +95156,UK,2017,Cholera,Infectious,19.17,10.77,0.3,61+,Other,493574,90.64,2.8,1.32,Vaccination,44795.0,Yes,52.79,3247.0,5.66,15886.0,0.87,27.66 +95157,Australia,2001,Diabetes,Bacterial,15.82,7.95,6.63,36-60,Other,910598,99.51,0.75,3.73,Therapy,47621.0,Yes,77.31,2860.0,2.22,84900.0,0.78,81.16 +95159,Australia,2008,Alzheimer's Disease,Infectious,0.49,0.57,7.93,61+,Female,633146,73.14,4.9,6.08,Surgery,19934.0,No,80.8,1038.0,7.45,95415.0,0.77,54.19 +95166,Brazil,2005,Alzheimer's Disease,Genetic,17.95,4.15,8.8,61+,Female,726470,92.84,4.72,0.62,Medication,21668.0,Yes,61.58,2460.0,5.07,55709.0,0.47,30.7 +95168,India,2021,Asthma,Metabolic,5.58,10.79,6.67,19-35,Other,919370,69.44,1.43,2.82,Surgery,11208.0,Yes,93.24,4302.0,2.22,81673.0,0.71,87.64 +95169,Australia,2016,Cancer,Parasitic,10.43,3.31,9.28,19-35,Other,628622,57.12,4.21,1.85,Therapy,39865.0,No,69.36,1081.0,7.6,53357.0,0.55,70.95 +95170,Argentina,2017,Tuberculosis,Chronic,17.65,8.08,1.86,0-18,Other,671972,86.01,3.18,4.9,Vaccination,8658.0,No,69.85,1772.0,1.75,68753.0,0.7,46.57 +95180,South Korea,2004,Hypertension,Parasitic,6.65,8.89,2.77,36-60,Female,64160,62.96,1.94,1.65,Therapy,19539.0,No,79.44,4127.0,9.41,6118.0,0.74,68.88 +95183,Canada,2001,Hepatitis,Bacterial,6.19,10.99,5.76,19-35,Other,257012,64.89,1.54,0.58,Vaccination,45131.0,No,98.39,4403.0,4.01,68086.0,0.44,75.39 +95184,South Africa,2022,Asthma,Bacterial,4.99,7.39,7.78,61+,Male,577554,97.17,3.54,5.6,Surgery,10648.0,No,85.26,1000.0,6.33,67634.0,0.88,87.5 +95186,Argentina,2015,Leprosy,Bacterial,3.44,3.52,6.13,19-35,Female,444531,91.0,1.59,8.31,Therapy,45936.0,Yes,72.3,4148.0,2.84,17701.0,0.47,68.8 +95187,South Korea,2020,COVID-19,Neurological,19.05,7.76,2.35,36-60,Male,389713,74.91,4.8,3.25,Vaccination,41191.0,No,63.68,3507.0,2.61,40147.0,0.58,22.59 +95188,Saudi Arabia,2004,Malaria,Genetic,6.46,8.18,9.05,36-60,Female,228704,89.91,4.85,0.58,Surgery,9606.0,Yes,93.39,2012.0,0.51,39649.0,0.8,40.1 +95191,Argentina,2014,Tuberculosis,Neurological,13.4,13.55,8.11,36-60,Male,170735,57.32,3.19,1.14,Vaccination,18533.0,Yes,88.18,404.0,6.69,4711.0,0.81,86.91 +95200,Japan,2008,Cholera,Parasitic,8.05,7.39,8.5,19-35,Female,728782,89.61,2.51,7.31,Vaccination,1460.0,No,56.13,3829.0,9.4,25273.0,0.89,78.72 +95204,Australia,2023,Alzheimer's Disease,Respiratory,19.27,3.3,2.93,19-35,Male,192654,50.38,2.52,8.58,Vaccination,4204.0,Yes,88.27,2532.0,1.11,3946.0,0.45,60.4 +95211,Canada,2010,Alzheimer's Disease,Bacterial,6.08,14.25,1.66,0-18,Other,485896,63.84,1.3,3.92,Medication,28550.0,No,75.9,3389.0,8.24,64751.0,0.64,73.63 +95214,India,2001,HIV/AIDS,Respiratory,3.84,11.23,6.26,0-18,Female,402275,78.77,4.19,4.19,Vaccination,5013.0,Yes,55.72,1209.0,5.9,19212.0,0.75,61.7 +95217,Argentina,2009,Malaria,Respiratory,14.94,8.87,3.91,0-18,Male,463932,86.63,1.01,2.66,Therapy,15188.0,Yes,62.51,4802.0,7.21,8221.0,0.58,29.31 +95221,Mexico,2020,Parkinson's Disease,Viral,19.78,6.27,1.06,36-60,Male,953123,73.3,1.35,6.63,Medication,20583.0,No,79.41,2512.0,1.17,18757.0,0.62,58.62 +95224,Russia,2022,Diabetes,Neurological,0.52,2.4,8.38,36-60,Female,760835,81.2,2.92,1.29,Therapy,11737.0,No,82.8,2514.0,8.77,87468.0,0.53,74.04 +95226,Russia,2014,Malaria,Bacterial,18.33,12.89,2.77,19-35,Female,173494,71.27,4.11,4.69,Surgery,26922.0,Yes,63.85,4079.0,0.86,90714.0,0.84,55.55 +95228,South Korea,2023,Cholera,Chronic,2.7,8.73,5.93,61+,Male,813825,78.65,1.6,2.26,Surgery,37317.0,Yes,51.43,3590.0,7.11,81965.0,0.64,74.3 +95229,China,2008,Hypertension,Parasitic,8.4,4.18,3.86,61+,Other,497407,86.76,2.71,9.57,Vaccination,34423.0,No,52.55,2577.0,0.5,67935.0,0.7,21.56 +95231,Australia,2008,Hepatitis,Bacterial,18.82,7.12,1.78,19-35,Male,473567,66.41,3.2,5.8,Surgery,44451.0,No,94.66,3097.0,0.41,44056.0,0.68,59.21 +95234,Italy,2023,HIV/AIDS,Infectious,10.94,14.56,2.13,61+,Female,295970,69.94,2.44,8.82,Surgery,13965.0,No,55.54,3217.0,5.65,9684.0,0.74,23.59 +95235,USA,2019,Alzheimer's Disease,Autoimmune,16.45,4.73,4.84,36-60,Other,151609,92.82,1.22,7.75,Therapy,28101.0,No,87.65,2871.0,4.27,55040.0,0.88,73.99 +95239,USA,2021,Diabetes,Autoimmune,14.99,2.23,4.77,0-18,Female,514424,79.06,1.93,5.99,Therapy,31575.0,Yes,65.37,580.0,1.18,56307.0,0.87,86.51 +95246,Germany,2004,Hypertension,Neurological,4.5,12.69,1.52,36-60,Male,263346,55.76,1.53,9.98,Vaccination,25380.0,No,88.58,4092.0,0.48,62865.0,0.67,61.67 +95250,Japan,2007,Ebola,Chronic,4.82,8.29,3.73,61+,Male,550474,94.13,1.17,4.46,Surgery,49454.0,No,79.6,1583.0,7.5,55422.0,0.71,24.97 +95252,Saudi Arabia,2015,Malaria,Respiratory,4.4,5.14,1.69,61+,Other,180424,96.36,3.15,7.57,Surgery,16512.0,Yes,51.97,2913.0,8.94,82850.0,0.54,84.15 +95254,Brazil,2019,Alzheimer's Disease,Infectious,18.12,0.82,0.83,61+,Other,855583,67.31,2.7,6.5,Vaccination,5167.0,No,79.58,1529.0,0.08,75936.0,0.49,43.72 +95262,Turkey,2001,Tuberculosis,Neurological,6.76,3.3,8.38,19-35,Other,406724,94.94,3.31,5.84,Medication,45216.0,Yes,56.46,1387.0,9.11,37761.0,0.63,43.28 +95264,USA,2006,Dengue,Respiratory,0.81,11.61,0.7,61+,Female,733492,66.18,3.64,7.57,Vaccination,452.0,No,79.59,4414.0,8.38,89468.0,0.78,68.2 +95265,Nigeria,2022,Hepatitis,Autoimmune,16.72,3.85,6.63,0-18,Other,898137,77.39,1.44,3.52,Medication,9177.0,Yes,64.72,61.0,5.49,27575.0,0.84,70.54 +95284,South Africa,2006,Influenza,Metabolic,8.09,14.36,6.54,36-60,Other,375055,87.9,1.36,2.26,Medication,1035.0,Yes,98.07,4474.0,3.13,76425.0,0.59,21.88 +95286,USA,2002,Leprosy,Viral,2.18,3.49,4.25,36-60,Male,955133,64.43,0.96,6.71,Medication,4031.0,No,71.07,3304.0,1.89,19098.0,0.5,83.54 +95288,Australia,2004,HIV/AIDS,Chronic,1.05,12.65,6.22,36-60,Female,720088,68.8,3.61,4.56,Medication,22912.0,Yes,85.08,1889.0,3.87,89497.0,0.6,49.18 +95289,Mexico,2000,Malaria,Chronic,12.15,9.74,1.06,61+,Female,506275,80.81,2.34,5.19,Surgery,22029.0,Yes,88.97,3883.0,8.57,72993.0,0.49,22.25 +95301,Saudi Arabia,2019,Measles,Respiratory,12.08,0.59,5.77,0-18,Female,450505,82.46,1.49,7.18,Surgery,28819.0,No,89.74,812.0,0.12,26397.0,0.41,60.79 +95302,India,2000,COVID-19,Autoimmune,19.09,0.13,6.83,19-35,Other,636324,82.32,3.66,2.84,Therapy,49523.0,No,96.49,974.0,0.51,35297.0,0.85,70.06 +95310,Nigeria,2005,Parkinson's Disease,Cardiovascular,13.32,7.11,2.37,19-35,Female,28938,69.14,3.94,6.28,Therapy,13748.0,Yes,62.33,1608.0,9.09,46948.0,0.6,69.86 +95322,China,2011,COVID-19,Cardiovascular,2.16,3.43,3.02,19-35,Female,360595,56.13,2.84,2.22,Vaccination,14663.0,Yes,87.23,554.0,0.17,14017.0,0.8,53.17 +95324,Mexico,2015,Influenza,Autoimmune,16.57,8.29,8.07,61+,Other,906061,60.7,4.62,7.84,Medication,12350.0,No,93.27,3996.0,7.06,18180.0,0.66,66.54 +95328,France,2002,COVID-19,Parasitic,14.87,5.0,0.99,36-60,Other,129019,55.51,2.25,5.4,Vaccination,7688.0,Yes,87.62,4185.0,9.87,14554.0,0.78,49.86 +95331,Canada,2003,Asthma,Respiratory,19.16,14.16,7.47,0-18,Female,403854,51.19,2.38,2.06,Vaccination,22054.0,No,96.02,3108.0,2.82,86994.0,0.81,26.82 +95335,India,2021,Diabetes,Viral,14.42,3.81,0.92,36-60,Female,750785,66.62,4.88,8.71,Surgery,42222.0,Yes,81.23,1796.0,4.8,91161.0,0.5,35.67 +95336,Canada,2000,Diabetes,Parasitic,7.71,1.73,4.06,19-35,Female,961369,52.55,3.88,7.6,Surgery,5748.0,No,70.91,479.0,3.19,49422.0,0.65,28.63 +95338,India,2023,Dengue,Respiratory,0.52,3.03,3.94,19-35,Female,300364,76.64,4.07,2.41,Therapy,19975.0,No,65.6,3750.0,7.93,46736.0,0.46,80.43 +95339,Australia,2017,Parkinson's Disease,Bacterial,7.81,8.17,8.91,61+,Female,331449,71.03,2.61,9.81,Vaccination,34460.0,Yes,59.11,2217.0,0.97,54828.0,0.75,89.64 +95347,Russia,2018,COVID-19,Parasitic,15.2,3.28,8.45,19-35,Female,564775,66.39,4.12,9.95,Surgery,8911.0,Yes,69.63,4628.0,2.91,71696.0,0.81,80.23 +95348,Australia,2008,Dengue,Chronic,0.65,14.91,5.91,19-35,Other,472850,59.4,4.74,3.86,Vaccination,40701.0,Yes,52.59,2730.0,3.32,14018.0,0.46,58.79 +95351,Russia,2021,Influenza,Cardiovascular,4.27,13.01,0.43,61+,Male,884248,93.67,4.49,7.93,Surgery,48028.0,No,63.52,216.0,1.87,36429.0,0.83,40.08 +95352,Mexico,2001,COVID-19,Parasitic,19.51,6.97,9.81,36-60,Other,429436,88.01,1.22,6.32,Medication,23169.0,Yes,55.21,4737.0,5.93,2669.0,0.81,85.45 +95354,China,2016,Hepatitis,Infectious,12.53,7.79,8.28,36-60,Male,49258,86.18,1.84,5.36,Therapy,18348.0,Yes,64.27,66.0,7.86,72953.0,0.79,31.11 +95356,Germany,2020,Influenza,Cardiovascular,11.56,3.29,8.7,0-18,Other,298112,82.77,0.91,4.11,Therapy,5888.0,Yes,58.47,3134.0,7.91,8273.0,0.8,49.07 +95357,Russia,2022,Polio,Infectious,17.37,3.02,6.94,0-18,Female,343375,99.88,3.92,3.6,Medication,10064.0,No,93.36,4537.0,6.52,33540.0,0.76,89.82 +95360,Italy,2006,Leprosy,Respiratory,15.64,4.06,6.77,0-18,Male,663316,87.17,2.12,4.28,Surgery,47692.0,No,80.92,3032.0,7.22,14777.0,0.71,53.09 +95362,Canada,2006,Hepatitis,Chronic,16.36,10.3,1.8,36-60,Female,414223,70.55,4.18,3.57,Surgery,29772.0,Yes,97.89,1926.0,0.45,74608.0,0.67,68.28 +95367,Italy,2004,COVID-19,Infectious,3.51,0.57,9.13,0-18,Female,71907,91.89,2.66,7.76,Surgery,3934.0,Yes,79.46,782.0,6.02,18060.0,0.49,55.11 +95372,Turkey,2000,Asthma,Viral,11.55,7.84,1.68,36-60,Male,945523,83.71,2.45,3.84,Surgery,10980.0,Yes,77.5,4369.0,8.19,55052.0,0.49,85.4 +95376,Saudi Arabia,2002,Polio,Neurological,18.36,13.38,6.04,19-35,Other,339667,92.43,4.8,9.37,Surgery,5697.0,Yes,86.93,3890.0,1.16,2502.0,0.56,42.66 +95379,India,2021,Malaria,Cardiovascular,18.17,6.47,9.51,0-18,Male,341075,97.92,0.51,1.22,Vaccination,33578.0,No,76.43,2100.0,3.22,59208.0,0.7,26.63 +95381,Italy,2017,COVID-19,Viral,5.55,6.67,4.49,36-60,Other,368147,95.62,3.75,4.55,Therapy,37847.0,No,72.02,1737.0,6.75,64642.0,0.46,75.29 +95385,Brazil,2011,Leprosy,Cardiovascular,13.07,1.8,9.23,0-18,Other,272438,62.37,4.38,4.41,Medication,7677.0,No,98.07,3051.0,8.2,81030.0,0.4,58.6 +95404,China,2008,Ebola,Infectious,11.21,8.28,8.35,19-35,Other,334499,87.44,1.69,8.34,Medication,15754.0,Yes,98.11,3145.0,5.0,88095.0,0.66,45.1 +95405,USA,2017,Polio,Chronic,5.15,0.81,7.83,0-18,Male,840614,99.33,2.66,2.97,Surgery,39753.0,No,74.81,1313.0,0.89,18864.0,0.56,56.38 +95416,Russia,2010,Hypertension,Respiratory,4.91,13.98,7.53,0-18,Other,700387,57.86,1.67,2.67,Therapy,2880.0,No,65.56,528.0,6.0,25740.0,0.4,71.24 +95420,France,2019,COVID-19,Genetic,3.66,7.5,1.37,19-35,Male,461536,51.09,1.59,7.15,Surgery,39002.0,Yes,54.21,816.0,9.37,93042.0,0.8,51.32 +95426,France,2003,Dengue,Chronic,1.01,13.84,7.72,19-35,Other,412921,90.53,2.19,1.61,Surgery,5396.0,Yes,58.29,1932.0,3.38,84461.0,0.53,48.43 +95427,Canada,2014,Hepatitis,Infectious,13.64,12.16,7.2,61+,Female,155490,82.79,3.4,5.99,Therapy,46488.0,No,72.0,1102.0,4.7,82542.0,0.69,22.45 +95429,Nigeria,2006,Hepatitis,Neurological,11.53,1.34,7.69,61+,Other,98274,85.07,1.15,7.92,Medication,44311.0,Yes,85.82,4389.0,4.73,18406.0,0.88,58.15 +95433,Germany,2017,Ebola,Bacterial,8.84,1.02,5.31,0-18,Other,178905,64.74,4.8,9.85,Vaccination,2561.0,No,53.91,2087.0,6.87,32418.0,0.45,21.87 +95434,Nigeria,2015,Dengue,Neurological,13.28,6.39,0.67,36-60,Other,713144,72.48,1.18,8.93,Medication,34925.0,Yes,65.41,1654.0,4.78,12115.0,0.88,54.14 +95435,Mexico,2010,Rabies,Chronic,8.62,9.32,3.87,36-60,Female,564193,97.25,1.87,9.58,Surgery,3812.0,No,69.42,2797.0,5.34,68171.0,0.54,83.16 +95445,Germany,2013,Ebola,Metabolic,9.82,13.4,1.54,36-60,Male,801029,93.93,4.43,3.15,Surgery,25561.0,No,60.25,1522.0,8.91,80720.0,0.47,65.35 +95454,Italy,2000,COVID-19,Parasitic,16.65,6.96,4.99,19-35,Other,401466,52.0,1.64,3.1,Vaccination,13060.0,No,91.31,3246.0,1.97,31654.0,0.49,83.89 +95455,USA,2003,Leprosy,Parasitic,6.86,8.75,1.27,19-35,Female,355318,94.84,4.08,3.07,Medication,33326.0,Yes,83.43,2406.0,9.16,78041.0,0.66,80.46 +95461,China,2004,Leprosy,Genetic,6.4,2.9,6.51,0-18,Male,592149,53.13,4.62,9.58,Vaccination,18810.0,No,89.43,2471.0,7.42,18514.0,0.89,84.1 +95462,South Africa,2009,Leprosy,Bacterial,12.47,2.61,8.59,0-18,Female,434067,99.36,2.2,1.59,Medication,23091.0,No,61.08,1849.0,4.49,31807.0,0.89,55.34 +95463,Mexico,2007,Parkinson's Disease,Respiratory,4.44,2.38,1.39,19-35,Other,487940,99.19,1.85,5.91,Surgery,30094.0,Yes,62.69,3353.0,9.96,65508.0,0.53,41.47 +95467,Russia,2008,Asthma,Parasitic,16.43,8.99,1.81,19-35,Male,48564,50.93,0.56,1.91,Surgery,17915.0,Yes,67.43,1978.0,1.55,624.0,0.8,46.43 +95468,South Africa,2008,Ebola,Chronic,0.87,6.26,4.58,0-18,Other,648921,70.78,2.62,0.91,Therapy,31060.0,Yes,69.69,917.0,8.69,32647.0,0.51,39.23 +95473,France,2009,HIV/AIDS,Infectious,7.8,1.86,8.13,36-60,Female,855147,99.33,0.71,6.26,Surgery,22741.0,Yes,91.04,265.0,6.56,53566.0,0.49,66.62 +95479,Russia,2010,Dengue,Viral,2.91,14.34,8.2,36-60,Other,655711,99.85,2.53,9.46,Medication,18618.0,No,84.66,221.0,3.65,87433.0,0.78,29.04 +95480,Brazil,2019,Cholera,Autoimmune,19.8,3.78,1.75,36-60,Other,772750,71.15,1.9,4.13,Vaccination,38600.0,No,63.41,3521.0,9.76,23510.0,0.44,39.54 +95485,Mexico,2021,Cholera,Genetic,3.29,2.58,4.71,36-60,Female,429615,50.01,2.79,9.22,Therapy,38670.0,No,72.43,120.0,6.35,20771.0,0.56,72.13 +95486,Italy,2024,Malaria,Viral,12.73,10.77,9.22,19-35,Other,998759,60.14,1.19,1.66,Vaccination,40324.0,Yes,51.97,1227.0,0.7,88093.0,0.48,31.02 +95488,Italy,2003,Zika,Infectious,1.45,11.12,1.75,36-60,Female,57421,88.13,2.86,2.34,Surgery,37228.0,Yes,94.7,1148.0,9.02,72200.0,0.74,62.93 +95491,Germany,2022,Leprosy,Viral,10.55,0.89,9.51,19-35,Male,5844,63.65,2.32,3.41,Surgery,8124.0,Yes,96.52,3068.0,0.42,84831.0,0.85,70.74 +95495,Brazil,2018,Diabetes,Genetic,6.81,14.78,1.22,19-35,Other,98625,57.99,4.75,9.07,Medication,40498.0,Yes,57.87,299.0,1.74,55113.0,0.78,78.83 +95496,Brazil,2020,Zika,Parasitic,11.5,8.11,8.56,19-35,Other,616274,61.98,3.72,8.16,Medication,7479.0,Yes,91.18,3685.0,4.24,90520.0,0.5,24.54 +95497,Russia,2004,Cholera,Neurological,1.49,4.67,9.94,19-35,Female,307407,62.33,4.91,9.46,Medication,14487.0,Yes,79.94,3667.0,6.92,83632.0,0.72,39.2 +95500,Australia,2015,Rabies,Parasitic,10.88,0.16,9.0,36-60,Male,122273,51.04,4.16,7.89,Therapy,29848.0,Yes,80.68,1708.0,3.48,95106.0,0.64,66.11 +95510,Saudi Arabia,2014,Polio,Infectious,8.6,0.27,3.86,19-35,Male,599954,87.1,1.97,7.66,Surgery,6517.0,No,90.69,2025.0,6.13,4959.0,0.63,38.33 +95512,Turkey,2015,HIV/AIDS,Genetic,8.27,6.43,3.0,19-35,Other,344612,82.94,3.61,3.63,Medication,47503.0,Yes,80.38,1028.0,1.98,37140.0,0.75,40.36 +95513,UK,2011,Cancer,Metabolic,6.72,13.78,6.05,61+,Female,839656,93.62,3.81,3.16,Therapy,26408.0,Yes,94.66,872.0,9.53,1974.0,0.83,61.12 +95518,Germany,2010,Cholera,Viral,14.83,10.76,5.63,36-60,Male,193916,91.12,1.51,7.74,Therapy,48336.0,No,63.85,2121.0,9.06,16303.0,0.63,52.33 +95521,Australia,2003,Cholera,Cardiovascular,6.72,6.64,7.08,0-18,Female,269979,63.47,3.04,6.67,Medication,8026.0,Yes,74.56,2039.0,9.99,54234.0,0.49,68.33 +95525,Japan,2005,Tuberculosis,Autoimmune,6.46,9.92,8.32,36-60,Male,252181,98.11,2.16,3.13,Medication,37095.0,Yes,84.68,4810.0,8.91,36805.0,0.64,66.28 +95529,Saudi Arabia,2001,Ebola,Neurological,15.4,2.42,7.77,0-18,Other,177888,77.18,3.16,6.1,Therapy,7523.0,Yes,94.42,1562.0,2.96,27394.0,0.63,63.82 +95542,Russia,2021,Polio,Autoimmune,5.82,2.93,3.79,61+,Male,764973,96.29,0.88,5.16,Therapy,38747.0,No,98.94,705.0,0.79,12871.0,0.64,55.79 +95549,Brazil,2000,Hepatitis,Infectious,6.39,9.2,1.25,61+,Male,170422,96.83,4.93,3.6,Medication,23147.0,No,85.53,1837.0,2.72,79413.0,0.66,47.29 +95550,Nigeria,2005,COVID-19,Autoimmune,13.13,13.55,6.51,19-35,Male,907433,54.12,1.17,7.79,Therapy,24478.0,No,57.28,4478.0,1.29,2430.0,0.77,35.15 +95554,USA,2015,Influenza,Infectious,16.9,4.43,8.3,61+,Female,171007,79.44,1.49,4.24,Therapy,40370.0,No,51.53,4350.0,1.14,78980.0,0.61,52.2 +95555,France,2017,Malaria,Neurological,0.42,6.12,8.5,0-18,Female,268084,81.21,1.74,7.77,Surgery,46991.0,No,75.22,3148.0,5.0,31860.0,0.81,48.93 +95556,Russia,2007,Cholera,Genetic,8.56,13.26,3.28,0-18,Other,652471,79.24,2.77,5.9,Surgery,43434.0,No,98.95,2442.0,0.02,72700.0,0.64,47.72 +95567,Canada,2024,HIV/AIDS,Respiratory,4.17,13.94,4.96,0-18,Other,302130,59.98,0.67,5.65,Therapy,14380.0,Yes,93.66,4961.0,8.39,80814.0,0.86,40.27 +95572,USA,2010,Rabies,Genetic,14.21,3.03,8.2,61+,Female,132786,59.42,2.76,3.37,Medication,39610.0,Yes,81.52,978.0,2.02,71361.0,0.86,25.91 +95582,Saudi Arabia,2003,Diabetes,Respiratory,8.2,7.14,5.79,61+,Male,901113,86.72,1.26,1.89,Medication,23123.0,Yes,94.52,935.0,2.74,95794.0,0.72,32.28 +95588,Argentina,2005,Leprosy,Bacterial,2.53,11.36,8.46,36-60,Male,846175,92.01,1.28,3.51,Medication,45260.0,No,90.4,2823.0,2.45,95521.0,0.41,41.42 +95590,South Africa,2021,Malaria,Autoimmune,9.65,9.9,9.3,36-60,Other,717290,66.44,1.36,6.5,Therapy,14699.0,No,76.65,1770.0,0.02,86515.0,0.45,21.11 +95594,South Korea,2008,Measles,Metabolic,19.1,11.08,5.97,19-35,Male,962000,67.51,4.42,9.67,Therapy,26189.0,No,52.95,3043.0,6.57,49040.0,0.88,73.21 +95608,India,2020,Cholera,Genetic,16.04,5.63,2.0,36-60,Male,556433,81.11,0.67,5.29,Vaccination,4784.0,No,54.98,3820.0,4.14,88920.0,0.74,63.47 +95610,India,2011,Alzheimer's Disease,Genetic,12.1,1.37,2.84,19-35,Other,64738,67.52,4.62,6.71,Vaccination,2346.0,Yes,97.02,2806.0,1.44,83196.0,0.62,71.91 +95612,South Korea,2006,Ebola,Respiratory,13.92,12.9,7.17,36-60,Male,589126,63.01,2.25,1.45,Therapy,40502.0,Yes,55.0,4362.0,7.35,39698.0,0.5,80.81 +95621,India,2023,Hypertension,Viral,11.87,8.33,4.48,0-18,Female,277186,95.93,0.86,2.25,Surgery,30397.0,No,76.27,3552.0,2.26,39874.0,0.57,70.62 +95629,Germany,2015,Dengue,Neurological,18.42,14.72,5.12,61+,Male,949886,77.64,3.46,1.24,Surgery,34914.0,Yes,50.24,994.0,1.89,59778.0,0.73,53.62 +95635,Germany,2009,HIV/AIDS,Genetic,19.31,12.23,6.06,19-35,Female,138716,64.56,0.73,4.0,Vaccination,22962.0,Yes,85.29,4178.0,3.27,88113.0,0.84,25.23 +95643,Australia,2015,Parkinson's Disease,Chronic,2.05,11.23,4.31,61+,Female,518634,85.72,4.97,3.83,Medication,36767.0,No,65.36,2763.0,5.87,78957.0,0.41,74.3 +95649,Mexico,2005,Polio,Respiratory,17.06,12.48,5.63,0-18,Other,556497,81.78,2.43,4.99,Vaccination,28384.0,No,66.15,1384.0,5.97,38225.0,0.44,23.56 +95650,Russia,2014,Zika,Parasitic,6.74,8.76,7.18,36-60,Male,715322,89.13,1.39,1.94,Therapy,36913.0,Yes,98.82,4861.0,4.62,36433.0,0.54,26.29 +95652,USA,2006,Alzheimer's Disease,Viral,9.9,14.39,6.48,0-18,Female,361376,71.75,3.69,5.2,Vaccination,44542.0,Yes,83.62,2299.0,0.33,54048.0,0.65,66.24 +95656,China,2014,Rabies,Viral,12.65,1.43,7.25,61+,Female,1637,89.71,1.56,5.08,Vaccination,35756.0,No,94.44,3281.0,4.14,55305.0,0.82,74.72 +95658,Australia,2020,Hypertension,Bacterial,3.91,2.41,4.09,61+,Female,793404,50.94,1.55,9.06,Medication,28092.0,Yes,63.49,3238.0,1.96,35793.0,0.89,88.47 +95665,Mexico,2023,Cancer,Parasitic,15.57,7.64,8.7,0-18,Female,81256,75.18,0.96,6.82,Therapy,6872.0,No,50.35,1984.0,2.41,84308.0,0.59,45.47 +95678,Germany,2019,Dengue,Genetic,2.71,1.76,8.14,0-18,Other,420450,71.26,3.85,5.69,Vaccination,7168.0,No,83.0,2006.0,8.62,5480.0,0.59,66.68 +95682,USA,2023,Diabetes,Metabolic,16.04,3.07,0.73,61+,Female,937854,65.5,1.44,4.07,Therapy,48149.0,Yes,94.95,3891.0,2.65,10941.0,0.4,54.37 +95684,Argentina,2007,Alzheimer's Disease,Bacterial,19.46,13.29,7.55,0-18,Female,383571,51.93,3.02,1.55,Vaccination,1521.0,No,50.9,3166.0,2.64,37332.0,0.65,51.62 +95686,Italy,2009,Measles,Respiratory,0.4,0.54,5.09,36-60,Male,712712,53.43,2.87,3.21,Surgery,34097.0,Yes,78.8,4572.0,5.42,98544.0,0.48,21.48 +95696,South Korea,2006,Rabies,Autoimmune,20.0,0.93,0.99,0-18,Other,662444,76.31,3.07,1.78,Therapy,35898.0,No,51.59,3700.0,6.29,81448.0,0.72,42.68 +95697,Mexico,2014,Tuberculosis,Neurological,5.39,12.83,1.92,19-35,Other,30435,95.83,2.7,1.15,Surgery,30471.0,No,58.52,3440.0,1.34,29627.0,0.73,67.08 +95704,USA,2000,Measles,Genetic,15.5,2.9,6.01,19-35,Other,997850,69.87,1.07,8.31,Vaccination,26899.0,No,59.7,2887.0,0.48,73021.0,0.65,29.74 +95715,Argentina,2015,Parkinson's Disease,Parasitic,9.98,12.24,3.46,36-60,Female,111229,62.69,4.26,7.72,Medication,10174.0,No,79.52,3667.0,0.84,15179.0,0.7,37.9 +95716,Germany,2022,Influenza,Bacterial,7.14,1.54,7.22,0-18,Other,714731,78.79,1.52,9.84,Therapy,19561.0,Yes,60.33,4832.0,7.82,46874.0,0.56,63.48 +95717,Turkey,2017,Hypertension,Cardiovascular,3.55,10.58,2.6,0-18,Other,456680,54.85,0.55,3.73,Therapy,43218.0,Yes,68.94,1313.0,7.31,18129.0,0.76,56.97 +95723,Australia,2009,Cancer,Autoimmune,10.09,5.46,5.87,0-18,Other,313965,88.62,4.79,7.45,Vaccination,4500.0,No,87.99,2181.0,6.9,85100.0,0.68,35.47 +95728,Australia,2010,COVID-19,Genetic,8.77,0.57,2.36,19-35,Female,303771,98.8,1.0,9.86,Surgery,37931.0,No,84.72,4733.0,3.28,90722.0,0.41,86.28 +95730,Argentina,2014,Cancer,Respiratory,10.89,5.47,4.46,61+,Other,118998,95.81,0.6,9.72,Vaccination,45847.0,No,64.5,4316.0,3.51,6229.0,0.64,23.84 +95739,Germany,2005,Cancer,Genetic,19.27,3.85,5.77,61+,Male,474436,60.07,4.91,8.91,Surgery,12567.0,No,86.76,4131.0,0.09,58862.0,0.85,71.81 +95743,USA,2001,Polio,Cardiovascular,4.52,12.86,8.97,61+,Other,669766,86.43,4.28,4.61,Therapy,15601.0,Yes,64.1,3566.0,8.33,99188.0,0.42,59.45 +95747,South Africa,2021,HIV/AIDS,Metabolic,12.52,10.56,5.07,19-35,Other,944457,57.87,2.74,2.34,Vaccination,38329.0,No,66.44,2915.0,1.52,93299.0,0.71,75.67 +95748,South Africa,2008,HIV/AIDS,Infectious,5.71,15.0,4.88,0-18,Female,744090,62.66,4.32,8.82,Therapy,8743.0,Yes,94.94,2821.0,0.37,37461.0,0.61,23.85 +95749,Australia,2001,Cholera,Viral,11.42,11.16,3.51,61+,Male,817360,58.32,3.06,1.76,Vaccination,49933.0,No,57.24,3593.0,5.77,21899.0,0.72,46.99 +95753,Turkey,2017,Diabetes,Autoimmune,3.26,4.05,3.18,61+,Female,781144,77.17,4.13,5.05,Vaccination,44260.0,Yes,71.59,4782.0,2.25,6322.0,0.82,48.71 +95757,Russia,2019,Influenza,Chronic,9.05,6.18,1.63,0-18,Other,708219,95.69,2.24,2.32,Vaccination,18973.0,No,67.87,1349.0,6.95,68284.0,0.43,77.6 +95766,Italy,2017,Asthma,Metabolic,3.97,8.51,4.28,0-18,Female,968454,54.01,3.73,6.14,Vaccination,5411.0,Yes,84.24,3928.0,8.39,1115.0,0.69,46.72 +95768,Russia,2023,Zika,Neurological,11.57,4.29,4.12,36-60,Female,302890,80.89,2.73,5.76,Surgery,40364.0,Yes,77.5,2531.0,4.77,31256.0,0.73,55.69 +95771,Nigeria,2003,Zika,Neurological,11.17,9.59,5.14,19-35,Other,332375,90.82,2.49,1.31,Surgery,30033.0,Yes,50.41,799.0,3.55,46069.0,0.82,84.34 +95772,Russia,2015,Asthma,Respiratory,5.54,12.01,3.48,19-35,Other,241740,56.53,3.67,5.74,Surgery,14505.0,Yes,83.1,4670.0,1.2,41360.0,0.81,30.63 +95775,Italy,2012,Tuberculosis,Autoimmune,1.47,14.91,3.6,36-60,Female,732855,85.61,1.27,5.22,Therapy,6508.0,No,63.95,3035.0,1.23,30696.0,0.76,52.3 +95776,Canada,2000,Asthma,Neurological,10.11,3.96,2.79,36-60,Other,70672,82.62,4.38,7.8,Vaccination,25673.0,No,86.03,3591.0,4.06,652.0,0.4,59.13 +95777,Turkey,2011,Hypertension,Bacterial,1.2,9.71,0.71,0-18,Male,878569,78.9,3.34,1.93,Therapy,24269.0,Yes,84.81,1343.0,8.22,80434.0,0.46,79.8 +95778,Australia,2016,Hypertension,Chronic,14.57,3.27,4.73,19-35,Female,48224,82.14,1.71,6.06,Medication,38992.0,Yes,91.06,2777.0,0.38,88724.0,0.47,34.99 +95781,Saudi Arabia,2022,Asthma,Metabolic,19.24,7.36,3.37,61+,Female,453560,55.5,0.66,2.12,Therapy,15851.0,Yes,74.99,131.0,7.81,35290.0,0.83,71.92 +95784,Turkey,2002,HIV/AIDS,Viral,5.65,12.69,5.86,19-35,Other,644397,55.19,2.32,3.94,Therapy,11015.0,Yes,59.64,2735.0,6.1,27298.0,0.5,61.09 +95786,UK,2017,Diabetes,Genetic,13.0,13.53,2.01,61+,Male,420273,61.63,4.2,8.19,Vaccination,13990.0,Yes,78.26,3565.0,7.97,61879.0,0.65,45.99 +95787,UK,2002,Hypertension,Metabolic,1.82,9.32,1.07,0-18,Female,342816,69.61,4.08,7.56,Therapy,6475.0,Yes,50.64,4600.0,3.66,22232.0,0.81,32.13 +95797,Brazil,2022,Cancer,Respiratory,18.01,3.89,7.27,19-35,Male,754701,83.02,0.67,1.4,Medication,26947.0,Yes,64.74,627.0,5.96,77859.0,0.62,24.48 +95809,Italy,2005,Tuberculosis,Neurological,14.97,14.06,1.17,36-60,Male,966804,62.62,3.79,9.81,Surgery,35181.0,No,59.17,1003.0,4.07,12409.0,0.72,53.46 +95813,India,2018,Malaria,Respiratory,13.39,2.11,4.01,19-35,Male,760366,62.15,4.17,9.01,Surgery,2690.0,Yes,51.78,3815.0,2.31,26878.0,0.84,79.61 +95814,Mexico,2021,Rabies,Viral,6.59,11.95,9.84,0-18,Male,595164,52.25,1.32,8.67,Vaccination,43988.0,No,56.76,734.0,4.78,5193.0,0.45,65.13 +95816,South Korea,2024,Measles,Viral,15.15,5.29,5.95,19-35,Male,389767,74.99,1.43,9.97,Surgery,38829.0,Yes,59.23,130.0,4.38,31411.0,0.49,37.76 +95817,Argentina,2007,Ebola,Parasitic,7.84,7.07,1.14,36-60,Other,72386,93.69,1.42,4.86,Surgery,44631.0,No,87.88,3873.0,2.51,45257.0,0.62,58.51 +95829,Japan,2020,COVID-19,Viral,8.53,14.49,6.0,0-18,Other,652840,84.47,4.7,6.37,Medication,49806.0,Yes,86.38,3635.0,8.97,41026.0,0.62,66.07 +95832,Nigeria,2023,Tuberculosis,Respiratory,15.09,11.93,7.98,61+,Other,745907,93.4,1.13,9.17,Therapy,10587.0,Yes,65.8,3051.0,2.98,76342.0,0.44,56.94 +95834,South Korea,2001,Asthma,Genetic,11.22,12.84,2.28,19-35,Male,983098,75.74,1.39,9.78,Vaccination,36101.0,Yes,80.9,2294.0,6.32,17150.0,0.57,51.13 +95838,Mexico,2013,Zika,Bacterial,13.51,13.78,5.47,0-18,Other,4097,97.03,1.19,2.09,Medication,10490.0,No,56.18,2198.0,5.62,17106.0,0.77,71.44 +95855,Japan,2023,COVID-19,Bacterial,12.93,11.16,6.66,19-35,Male,170606,73.46,3.03,6.76,Vaccination,21112.0,Yes,70.44,3854.0,0.86,41382.0,0.89,51.84 +95861,Indonesia,2010,Influenza,Genetic,3.14,0.14,0.24,19-35,Male,75532,57.43,1.66,6.58,Therapy,38328.0,Yes,75.0,2005.0,4.04,19584.0,0.75,39.38 +95875,Brazil,2012,Malaria,Viral,17.51,0.9,4.81,61+,Male,898943,98.35,1.96,5.67,Vaccination,37502.0,Yes,61.35,4118.0,5.59,83066.0,0.51,53.7 +95876,Canada,2004,Polio,Cardiovascular,16.24,2.66,3.33,61+,Male,477539,76.17,2.91,2.78,Therapy,38707.0,Yes,91.24,1747.0,7.89,4827.0,0.58,60.85 +95886,Brazil,2008,Malaria,Parasitic,6.15,9.73,7.93,0-18,Other,234013,82.57,3.23,9.33,Therapy,45971.0,No,73.94,4697.0,7.32,82599.0,0.43,71.47 +95889,Mexico,2009,Leprosy,Parasitic,18.93,14.39,3.68,61+,Male,324926,77.0,0.58,7.15,Therapy,32213.0,Yes,90.31,4738.0,7.53,67276.0,0.6,82.76 +95891,China,2005,Diabetes,Infectious,0.91,1.55,6.82,0-18,Male,627115,81.12,2.7,6.07,Vaccination,26021.0,Yes,80.93,4104.0,0.44,9123.0,0.53,36.3 +95892,South Africa,2010,Cancer,Metabolic,9.91,13.16,3.91,19-35,Male,668892,61.09,1.16,9.6,Vaccination,48043.0,No,72.55,584.0,4.73,85039.0,0.74,85.57 +95897,Indonesia,2022,Asthma,Parasitic,10.13,6.8,0.78,19-35,Other,772351,78.99,3.5,3.5,Vaccination,34738.0,Yes,63.31,4423.0,6.79,71615.0,0.82,79.3 +95903,Argentina,2012,Cholera,Respiratory,4.51,4.6,9.94,36-60,Male,525588,81.69,3.3,9.29,Medication,24388.0,Yes,66.39,3600.0,5.19,46172.0,0.73,24.44 +95905,South Korea,2006,Cancer,Autoimmune,9.3,12.03,5.46,61+,Male,96228,76.05,2.03,6.25,Surgery,49389.0,Yes,94.93,2827.0,4.05,77060.0,0.89,39.02 +95908,Saudi Arabia,2014,Asthma,Bacterial,6.32,5.18,5.71,0-18,Male,201219,54.05,4.51,3.67,Medication,12338.0,Yes,79.21,4138.0,0.68,15226.0,0.79,71.16 +95913,Nigeria,2006,Leprosy,Cardiovascular,7.47,9.04,5.84,61+,Male,317263,67.98,1.66,7.58,Vaccination,43409.0,No,65.37,347.0,5.25,67532.0,0.41,83.21 +95931,Italy,2017,HIV/AIDS,Metabolic,15.67,7.62,3.97,19-35,Male,908864,64.53,3.86,4.73,Vaccination,42126.0,No,90.25,901.0,4.88,42778.0,0.41,72.15 +95934,Australia,2015,Measles,Chronic,3.09,7.28,7.53,19-35,Other,199185,90.21,1.36,1.22,Medication,25537.0,Yes,74.47,3904.0,4.75,91549.0,0.72,84.49 +95937,USA,2024,Ebola,Parasitic,1.45,3.2,6.18,36-60,Male,193698,82.69,4.48,5.58,Medication,13939.0,No,54.83,4491.0,1.68,49634.0,0.82,41.8 +95941,India,2008,Cancer,Viral,13.18,8.36,8.78,19-35,Male,436767,67.57,4.34,6.65,Surgery,42976.0,No,67.81,3579.0,4.2,7499.0,0.46,82.89 +95943,Argentina,2004,Cholera,Autoimmune,8.72,0.29,6.72,61+,Other,502121,62.62,1.4,5.44,Medication,36170.0,No,73.38,3543.0,1.95,29989.0,0.46,82.35 +95944,India,2012,COVID-19,Neurological,18.36,11.75,4.54,61+,Other,237372,55.74,3.11,2.13,Therapy,25241.0,No,61.4,4676.0,2.16,49412.0,0.72,42.38 +95948,France,2007,Ebola,Parasitic,15.73,12.26,8.96,61+,Female,25635,54.23,1.76,9.08,Therapy,44238.0,No,80.51,2368.0,8.31,44498.0,0.48,20.59 +95952,Italy,2019,Measles,Cardiovascular,16.18,14.79,1.96,19-35,Other,40128,99.65,0.92,8.67,Therapy,37929.0,No,57.04,3449.0,0.2,69199.0,0.54,54.69 +95959,Japan,2016,Asthma,Viral,6.48,3.8,6.04,0-18,Male,585395,81.79,1.06,2.6,Surgery,47026.0,No,71.52,129.0,3.08,85860.0,0.43,30.62 +95966,Turkey,2007,Hepatitis,Bacterial,14.6,2.34,2.1,19-35,Other,900832,82.27,1.03,3.68,Surgery,20650.0,No,55.21,2084.0,4.41,81185.0,0.68,50.8 +95972,Canada,2021,Cholera,Respiratory,2.5,5.17,8.71,36-60,Male,590583,86.75,3.47,0.98,Therapy,42317.0,No,71.24,3736.0,4.21,36992.0,0.7,87.96 +95974,Canada,2001,Hypertension,Chronic,6.43,10.13,9.77,61+,Male,736004,94.23,3.15,5.58,Therapy,40805.0,Yes,62.06,1687.0,8.48,66934.0,0.61,52.06 +95975,Mexico,2000,COVID-19,Neurological,11.97,3.0,0.28,0-18,Other,352265,51.54,3.74,8.86,Surgery,13791.0,No,64.68,1256.0,6.27,43910.0,0.47,57.4 +95979,Italy,2021,Measles,Bacterial,2.18,3.49,7.72,61+,Other,999801,74.68,0.98,7.21,Therapy,38590.0,No,84.1,4930.0,7.45,68525.0,0.59,71.64 +95984,Turkey,2007,Hepatitis,Neurological,0.56,3.02,0.55,19-35,Male,6667,88.74,4.97,3.52,Surgery,46174.0,Yes,77.76,3717.0,7.48,31435.0,0.56,41.38 +95986,Mexico,2014,Leprosy,Autoimmune,6.19,9.91,1.26,61+,Female,334217,97.52,4.49,2.28,Surgery,41659.0,No,86.76,927.0,5.56,83977.0,0.55,80.27 +95989,South Korea,2024,Polio,Infectious,17.98,2.95,4.29,36-60,Other,322752,61.7,1.54,2.73,Therapy,6893.0,No,57.22,812.0,4.05,7423.0,0.48,68.78 +96001,South Africa,2006,Dengue,Infectious,1.17,11.84,4.65,36-60,Male,26942,51.07,4.54,1.18,Surgery,2621.0,No,60.91,1370.0,4.66,88080.0,0.85,33.54 +96017,Canada,2010,Polio,Bacterial,16.81,2.86,9.28,36-60,Other,612284,86.54,2.35,3.96,Medication,13780.0,Yes,85.41,853.0,8.42,43296.0,0.45,34.06 +96019,China,2015,Leprosy,Parasitic,3.9,3.49,2.66,36-60,Male,877478,94.92,4.93,1.89,Vaccination,3789.0,Yes,60.29,4247.0,0.78,60614.0,0.76,25.19 +96020,Turkey,2019,Hepatitis,Bacterial,18.29,14.12,8.21,61+,Other,646099,70.17,2.18,1.1,Therapy,34489.0,Yes,93.84,3524.0,7.62,60248.0,0.64,68.35 +96025,Germany,2010,Measles,Neurological,2.45,1.63,3.32,61+,Female,454053,86.41,1.29,5.72,Vaccination,40749.0,Yes,93.35,1450.0,4.8,27881.0,0.68,42.84 +96026,South Africa,2007,Malaria,Parasitic,1.95,6.15,3.73,36-60,Other,271894,55.03,3.33,6.23,Therapy,15216.0,Yes,58.75,614.0,7.32,74253.0,0.43,60.4 +96027,Turkey,2023,Polio,Autoimmune,15.92,13.94,3.01,36-60,Female,37967,74.59,3.36,6.31,Medication,22609.0,Yes,89.43,4017.0,0.36,34437.0,0.89,29.95 +96033,Nigeria,2024,COVID-19,Genetic,17.19,12.28,2.02,19-35,Male,104713,80.88,2.18,4.68,Medication,4611.0,No,59.56,4667.0,0.3,29585.0,0.55,44.53 +96035,South Korea,2010,HIV/AIDS,Metabolic,2.11,9.88,8.39,19-35,Male,23932,81.23,0.78,6.41,Surgery,1959.0,No,71.51,3556.0,6.09,36940.0,0.45,61.39 +96037,China,2013,HIV/AIDS,Infectious,5.98,5.62,5.94,0-18,Male,391242,89.53,1.94,6.51,Surgery,40387.0,No,85.25,4829.0,2.77,29348.0,0.79,82.71 +96038,Australia,2020,Diabetes,Metabolic,12.19,2.22,3.98,61+,Male,814712,62.16,1.73,5.28,Medication,39665.0,Yes,79.48,4486.0,0.21,46152.0,0.71,25.36 +96045,Saudi Arabia,2006,Leprosy,Infectious,2.5,3.99,5.68,36-60,Male,424441,58.84,1.12,2.83,Vaccination,26455.0,Yes,81.78,2755.0,3.84,83394.0,0.73,54.33 +96048,Indonesia,2017,Cholera,Metabolic,2.36,6.73,9.49,0-18,Female,535646,79.74,1.4,3.13,Vaccination,30980.0,No,50.66,762.0,5.53,64964.0,0.62,23.85 +96056,USA,2001,Parkinson's Disease,Cardiovascular,15.13,3.33,7.91,0-18,Other,545181,73.86,1.5,5.94,Medication,11137.0,Yes,72.48,3423.0,1.31,19141.0,0.54,71.1 +96060,Brazil,2016,Tuberculosis,Genetic,14.42,1.79,7.63,0-18,Other,454110,50.46,0.5,9.16,Medication,10072.0,No,84.2,4253.0,6.0,66255.0,0.5,44.36 +96063,France,2017,Ebola,Respiratory,11.85,8.29,8.72,19-35,Female,788294,59.2,2.31,9.5,Medication,17299.0,No,60.27,631.0,2.48,73169.0,0.82,53.7 +96067,Japan,2016,Cholera,Parasitic,2.4,4.52,0.51,61+,Other,401519,73.45,4.64,1.45,Surgery,42704.0,No,81.04,1826.0,9.56,55839.0,0.56,24.96 +96068,UK,2002,Tuberculosis,Autoimmune,19.52,2.2,6.58,19-35,Female,682657,81.68,3.29,6.12,Vaccination,41884.0,No,55.9,4798.0,6.67,648.0,0.43,64.1 +96073,Brazil,2004,Measles,Parasitic,14.76,6.15,6.27,19-35,Other,59897,58.66,4.48,7.72,Surgery,38363.0,No,95.14,2534.0,9.91,5224.0,0.74,72.49 +96074,Germany,2018,Hepatitis,Autoimmune,13.96,9.7,1.97,19-35,Male,209690,95.73,2.8,6.36,Vaccination,33291.0,No,82.47,4772.0,4.48,15508.0,0.86,87.34 +96075,India,2012,Cancer,Respiratory,13.94,9.66,1.96,36-60,Other,374865,91.73,4.82,0.78,Medication,42130.0,Yes,86.1,635.0,6.06,20011.0,0.57,46.77 +96077,Argentina,2016,Diabetes,Viral,6.98,7.34,7.99,61+,Female,321436,52.74,0.67,4.36,Therapy,24409.0,No,54.02,3623.0,3.93,12304.0,0.74,52.85 +96080,USA,2005,Parkinson's Disease,Cardiovascular,10.32,10.37,4.11,19-35,Male,717370,60.66,0.75,9.76,Medication,34204.0,Yes,56.64,3432.0,4.9,81489.0,0.54,65.88 +96082,Argentina,2021,Zika,Parasitic,9.6,2.96,3.98,0-18,Female,981951,89.71,2.81,5.5,Therapy,4181.0,No,80.01,4760.0,6.25,14696.0,0.5,36.88 +96084,Brazil,2022,Cancer,Metabolic,11.53,4.83,9.18,0-18,Female,974292,71.36,2.3,7.87,Therapy,10434.0,Yes,84.6,2391.0,8.62,77534.0,0.7,86.42 +96088,South Korea,2011,Cancer,Viral,4.15,5.0,1.63,61+,Male,792434,88.16,4.21,0.95,Surgery,4672.0,No,91.59,3725.0,2.2,67822.0,0.77,57.04 +96091,Brazil,2020,Polio,Cardiovascular,18.52,5.28,3.41,61+,Male,53334,94.54,2.72,9.85,Therapy,31871.0,Yes,66.15,4185.0,8.24,40311.0,0.67,46.91 +96094,Canada,2017,Dengue,Parasitic,4.18,13.44,0.86,36-60,Male,886098,85.85,2.51,4.46,Surgery,13920.0,No,97.65,3928.0,6.06,87088.0,0.4,28.23 +96095,UK,2015,Tuberculosis,Metabolic,7.01,4.78,7.07,36-60,Female,899169,80.96,3.49,6.27,Surgery,669.0,No,98.44,1147.0,2.39,94282.0,0.86,51.45 +96096,France,2016,Malaria,Autoimmune,11.14,9.23,0.48,36-60,Other,737333,99.61,2.94,9.92,Surgery,6002.0,No,84.94,1812.0,7.35,97126.0,0.49,51.05 +96097,Australia,2008,COVID-19,Bacterial,7.59,0.13,9.64,19-35,Other,593532,50.78,2.27,3.84,Vaccination,499.0,No,56.76,147.0,9.51,20707.0,0.46,56.61 +96099,Australia,2010,Zika,Metabolic,2.43,3.04,0.57,61+,Other,374909,91.37,4.98,5.95,Surgery,3299.0,Yes,77.65,875.0,2.01,53941.0,0.55,74.77 +96100,South Korea,2007,Dengue,Neurological,3.23,9.25,1.25,36-60,Female,697021,58.07,0.95,3.22,Vaccination,27013.0,Yes,57.82,3729.0,8.57,89568.0,0.42,24.2 +96104,Mexico,2000,Dengue,Metabolic,7.66,6.52,2.83,19-35,Female,962928,79.41,2.19,8.93,Therapy,10254.0,Yes,71.07,1293.0,7.44,16766.0,0.8,35.84 +96109,Argentina,2005,Zika,Metabolic,17.41,0.97,9.4,61+,Female,460121,94.42,0.89,9.4,Medication,35492.0,Yes,55.07,4687.0,0.79,80931.0,0.8,42.92 +96110,Japan,2006,Measles,Bacterial,15.69,3.41,6.02,36-60,Male,301220,98.54,4.23,2.6,Vaccination,39245.0,Yes,70.55,1109.0,8.2,20840.0,0.7,51.5 +96111,France,2011,Hepatitis,Infectious,10.98,14.79,4.95,61+,Female,403044,89.82,4.22,9.99,Surgery,27577.0,No,53.04,1184.0,5.2,15272.0,0.68,32.86 +96115,UK,2013,Cancer,Cardiovascular,2.51,10.28,8.91,0-18,Female,517748,65.55,2.35,1.1,Therapy,5698.0,No,91.68,4193.0,6.1,35987.0,0.72,69.95 +96116,Saudi Arabia,2014,Influenza,Respiratory,11.99,10.29,6.72,61+,Male,270226,54.78,4.07,1.52,Vaccination,34359.0,Yes,52.52,106.0,4.36,45937.0,0.65,37.54 +96120,Indonesia,2000,Parkinson's Disease,Viral,10.02,10.65,0.56,19-35,Female,223089,98.6,4.02,2.72,Therapy,17878.0,No,59.04,3640.0,4.63,20014.0,0.73,84.0 +96121,Japan,2023,Hepatitis,Bacterial,3.96,9.77,6.93,36-60,Other,511092,75.96,2.63,2.93,Vaccination,25871.0,Yes,78.56,4557.0,8.14,60781.0,0.5,50.12 +96122,South Africa,2017,Polio,Infectious,11.67,14.52,6.52,19-35,Other,891292,79.48,1.79,5.64,Surgery,36042.0,Yes,60.59,1838.0,0.23,99463.0,0.57,83.04 +96126,Australia,2000,Hepatitis,Infectious,4.78,1.45,1.58,19-35,Male,560492,87.42,2.68,8.46,Surgery,37837.0,Yes,97.47,841.0,0.64,93098.0,0.85,55.68 +96133,Argentina,2004,Hypertension,Chronic,4.18,8.5,7.69,36-60,Male,573094,89.39,4.0,5.52,Vaccination,19145.0,No,79.28,2128.0,6.6,94489.0,0.67,63.07 +96135,UK,2014,Parkinson's Disease,Autoimmune,19.84,6.34,8.85,19-35,Male,862325,84.84,5.0,6.47,Medication,30699.0,Yes,78.82,142.0,5.25,55569.0,0.46,31.1 +96143,Indonesia,2004,Hypertension,Autoimmune,11.75,9.53,4.88,19-35,Male,464918,81.1,1.01,1.3,Vaccination,48210.0,No,67.29,3527.0,4.88,46445.0,0.53,36.65 +96145,Russia,2007,Rabies,Bacterial,1.14,3.37,9.19,61+,Other,787941,85.07,2.7,1.75,Therapy,4087.0,Yes,67.53,3305.0,2.06,28173.0,0.44,68.67 +96149,Canada,2001,Hepatitis,Viral,3.8,13.65,5.41,0-18,Other,391622,62.2,4.37,6.51,Surgery,18131.0,Yes,68.13,3833.0,1.47,10220.0,0.55,75.28 +96156,Argentina,2005,Cholera,Autoimmune,10.83,8.02,0.58,19-35,Male,895825,79.51,3.41,0.96,Medication,12343.0,No,84.06,2507.0,8.41,70111.0,0.73,43.74 +96157,Indonesia,2004,Malaria,Neurological,9.89,14.82,0.2,19-35,Other,625354,85.31,1.09,1.67,Therapy,30581.0,Yes,53.35,3276.0,0.33,13696.0,0.69,83.66 +96159,UK,2004,HIV/AIDS,Bacterial,19.29,10.27,7.56,19-35,Female,907163,79.23,2.44,8.54,Medication,6925.0,No,92.58,4349.0,9.95,19503.0,0.5,75.3 +96160,Italy,2019,HIV/AIDS,Respiratory,14.62,8.52,4.25,61+,Other,988179,56.93,2.7,9.41,Surgery,26384.0,No,63.66,2221.0,7.56,25304.0,0.82,38.13 +96173,India,2011,Influenza,Neurological,8.54,6.76,4.73,0-18,Female,327848,57.73,1.98,4.26,Vaccination,33907.0,No,50.71,2918.0,8.87,58685.0,0.74,27.04 +96177,Russia,2001,Rabies,Genetic,9.05,8.79,5.21,0-18,Female,703150,80.26,2.36,1.7,Vaccination,12954.0,No,92.77,1231.0,8.24,73432.0,0.82,49.45 +96185,Australia,2004,Hypertension,Autoimmune,19.22,4.44,4.28,61+,Other,732186,95.92,0.75,1.41,Vaccination,10273.0,No,66.07,509.0,9.75,61938.0,0.43,38.3 +96186,USA,2005,Tuberculosis,Chronic,1.45,2.67,5.68,19-35,Female,809423,91.47,4.57,4.71,Therapy,49360.0,No,53.15,3437.0,9.48,20242.0,0.82,36.05 +96189,China,2002,COVID-19,Respiratory,9.4,3.91,4.49,36-60,Other,595985,82.54,3.09,0.61,Medication,15700.0,No,74.44,2812.0,7.49,11820.0,0.46,52.58 +96203,Australia,2000,COVID-19,Neurological,18.9,6.67,4.84,0-18,Male,362271,95.01,2.62,5.33,Medication,25403.0,Yes,76.75,4299.0,4.25,56063.0,0.77,30.7 +96204,Italy,2023,Ebola,Neurological,1.29,14.38,3.37,0-18,Female,362541,61.87,2.29,7.77,Vaccination,19300.0,No,62.5,30.0,2.22,27288.0,0.58,28.24 +96209,Nigeria,2017,Zika,Chronic,4.05,1.81,4.1,0-18,Other,460172,56.02,4.56,1.87,Vaccination,845.0,No,54.73,831.0,4.97,43691.0,0.64,26.12 +96217,Canada,2016,Influenza,Autoimmune,14.57,2.72,8.12,0-18,Male,414933,89.77,0.67,8.51,Vaccination,15650.0,No,66.66,1002.0,1.37,97253.0,0.4,88.25 +96224,Nigeria,2014,Polio,Viral,8.04,5.65,3.85,61+,Other,976348,73.67,1.76,8.93,Surgery,12222.0,No,95.71,1233.0,3.96,22170.0,0.85,41.42 +96226,China,2024,Tuberculosis,Respiratory,1.41,12.72,9.35,19-35,Female,558010,85.85,1.9,6.5,Therapy,6721.0,No,80.27,1485.0,0.27,68860.0,0.69,28.05 +96227,Russia,2005,Rabies,Infectious,1.35,3.47,5.16,0-18,Other,90261,88.71,4.07,2.81,Surgery,19037.0,Yes,69.18,504.0,7.16,48470.0,0.77,26.95 +96229,UK,2018,Measles,Viral,14.64,12.84,0.8,36-60,Other,864198,76.34,4.67,9.2,Therapy,2329.0,Yes,97.43,306.0,8.11,85889.0,0.64,22.41 +96230,South Korea,2023,Dengue,Respiratory,14.99,6.41,7.68,19-35,Male,657085,84.56,0.7,4.04,Therapy,29035.0,Yes,70.39,3985.0,3.99,59538.0,0.57,61.88 +96235,Argentina,2007,HIV/AIDS,Parasitic,4.31,5.11,0.72,19-35,Male,781929,56.57,2.03,4.73,Therapy,21638.0,No,51.39,4739.0,4.98,41557.0,0.88,21.2 +96240,Italy,2006,Parkinson's Disease,Metabolic,12.06,3.51,6.49,0-18,Female,164126,68.42,4.67,9.01,Medication,43116.0,Yes,91.66,179.0,2.47,44959.0,0.87,77.75 +96241,India,2000,Influenza,Respiratory,3.33,13.2,5.05,36-60,Other,614829,53.11,0.77,7.73,Vaccination,46272.0,Yes,83.69,3470.0,3.49,87994.0,0.82,31.47 +96246,Italy,2017,Polio,Parasitic,13.51,6.6,6.46,19-35,Other,116582,92.25,1.51,4.76,Therapy,37431.0,No,69.43,2942.0,4.29,29286.0,0.59,74.67 +96248,Japan,2014,Measles,Bacterial,7.5,10.06,2.24,36-60,Male,64670,52.63,2.5,4.84,Therapy,33875.0,No,50.94,2667.0,9.19,46145.0,0.73,43.57 +96257,Brazil,2012,Hypertension,Viral,14.42,3.54,1.53,19-35,Other,970445,95.19,2.41,3.76,Surgery,16776.0,No,79.31,4781.0,5.66,30106.0,0.76,81.02 +96261,Mexico,2016,Alzheimer's Disease,Metabolic,17.57,3.13,3.8,61+,Other,742930,92.56,3.3,6.4,Surgery,21313.0,No,76.69,2067.0,8.92,62315.0,0.46,89.12 +96268,Japan,2003,COVID-19,Genetic,17.4,9.01,0.5,61+,Male,435117,71.28,3.97,5.54,Therapy,32003.0,Yes,66.69,612.0,4.88,46840.0,0.66,70.87 +96269,Russia,2016,COVID-19,Bacterial,0.41,0.6,7.37,61+,Female,579916,55.74,4.2,8.94,Therapy,20931.0,No,92.41,825.0,4.25,9045.0,0.48,55.33 +96279,France,2004,Parkinson's Disease,Autoimmune,9.78,1.36,3.69,19-35,Male,923853,99.99,2.12,9.89,Surgery,443.0,No,75.25,1765.0,4.58,14069.0,0.57,57.16 +96281,Indonesia,2000,HIV/AIDS,Chronic,18.79,11.32,7.07,0-18,Male,831987,60.62,2.4,3.12,Surgery,47390.0,Yes,82.35,1416.0,0.63,1337.0,0.57,87.37 +96283,Russia,2009,Alzheimer's Disease,Autoimmune,5.82,10.87,4.54,19-35,Female,770139,74.05,3.53,8.77,Vaccination,45441.0,No,90.75,1742.0,2.16,97560.0,0.8,71.42 +96288,Germany,2020,Asthma,Infectious,19.51,9.6,5.45,36-60,Other,144763,75.13,1.24,4.73,Surgery,46760.0,Yes,70.51,2751.0,7.45,63775.0,0.52,86.08 +96290,India,2017,Diabetes,Bacterial,13.36,13.85,8.14,0-18,Female,811695,64.32,2.76,8.46,Vaccination,23876.0,Yes,59.29,1650.0,0.83,41441.0,0.7,37.61 +96300,Canada,2002,Polio,Respiratory,14.15,2.62,0.36,0-18,Female,448705,72.63,0.65,4.19,Therapy,5937.0,No,80.37,4768.0,3.45,27124.0,0.55,33.54 +96303,Australia,2018,Cancer,Neurological,11.8,12.34,3.68,61+,Other,954975,84.17,3.99,5.66,Surgery,18389.0,No,83.24,715.0,8.79,5963.0,0.61,52.42 +96304,Canada,2008,Hypertension,Parasitic,13.91,10.21,4.36,0-18,Other,645724,64.66,2.97,8.34,Medication,24857.0,No,53.72,488.0,3.04,24769.0,0.56,75.0 +96309,UK,2010,COVID-19,Neurological,8.66,8.8,2.08,36-60,Male,549531,99.65,3.62,8.99,Surgery,2095.0,No,73.72,2664.0,9.39,51808.0,0.71,74.0 +96311,China,2023,Rabies,Cardiovascular,12.24,10.93,0.83,19-35,Other,169341,78.68,3.9,1.62,Vaccination,24793.0,Yes,80.67,562.0,3.9,71834.0,0.6,80.45 +96315,Italy,2017,Tuberculosis,Bacterial,19.93,0.38,7.01,19-35,Male,693792,66.92,3.43,6.49,Therapy,34738.0,Yes,88.2,146.0,3.04,55277.0,0.43,85.29 +96316,UK,2012,Alzheimer's Disease,Chronic,2.77,8.49,9.15,19-35,Male,200003,73.99,2.96,2.6,Medication,32901.0,No,54.56,3729.0,3.4,33746.0,0.55,85.4 +96321,Germany,2018,Cholera,Cardiovascular,8.97,10.65,3.34,61+,Other,708868,71.52,3.18,1.55,Vaccination,28887.0,No,64.23,53.0,9.22,80283.0,0.71,77.15 +96328,Canada,2016,Polio,Autoimmune,18.44,6.84,0.12,0-18,Female,374878,86.85,1.19,8.1,Vaccination,47950.0,No,98.67,4047.0,5.32,89709.0,0.59,33.95 +96332,Turkey,2006,Diabetes,Chronic,2.75,2.97,4.03,0-18,Female,542475,69.1,3.77,8.93,Vaccination,20818.0,No,86.64,3998.0,9.03,2400.0,0.41,70.45 +96335,Saudi Arabia,2015,HIV/AIDS,Cardiovascular,19.35,8.08,1.09,36-60,Male,491848,50.84,3.94,2.26,Surgery,24493.0,No,63.24,4144.0,2.92,67953.0,0.7,67.86 +96336,Turkey,2003,Hepatitis,Bacterial,17.35,7.31,9.37,19-35,Male,694864,52.34,4.6,5.34,Vaccination,17166.0,No,74.89,371.0,4.2,56173.0,0.53,22.49 +96349,South Korea,2023,Hepatitis,Bacterial,2.41,2.06,5.49,61+,Male,347864,61.77,2.32,8.89,Vaccination,3299.0,No,81.88,2691.0,8.38,99046.0,0.46,82.19 +96352,France,2015,Rabies,Parasitic,9.13,6.0,1.33,19-35,Other,793428,80.88,2.27,9.5,Surgery,8358.0,No,86.84,4168.0,3.53,21386.0,0.72,71.46 +96354,Saudi Arabia,2016,Hypertension,Parasitic,11.28,5.18,3.91,19-35,Male,957874,50.9,2.36,9.25,Therapy,10574.0,Yes,57.69,1867.0,9.41,74249.0,0.56,78.51 +96357,Japan,2003,Rabies,Chronic,16.28,13.8,9.97,61+,Male,162504,58.21,2.61,8.36,Medication,28765.0,Yes,87.77,4149.0,5.29,54986.0,0.87,87.78 +96358,France,2018,Leprosy,Genetic,6.63,7.6,0.99,36-60,Female,939184,74.36,0.67,7.81,Medication,626.0,Yes,62.17,614.0,8.27,88344.0,0.57,86.72 +96360,Australia,2021,Asthma,Chronic,5.28,10.93,4.33,36-60,Female,824499,73.93,2.3,1.52,Vaccination,27110.0,No,68.57,71.0,3.16,44597.0,0.43,81.87 +96371,South Africa,2016,Leprosy,Infectious,2.43,14.14,8.62,61+,Male,360600,69.36,1.16,7.31,Therapy,24341.0,Yes,72.9,1167.0,4.31,17451.0,0.87,85.18 +96374,Russia,2023,Rabies,Viral,17.85,11.82,1.46,36-60,Male,924051,53.84,2.32,3.73,Therapy,43700.0,Yes,84.76,3706.0,4.79,93248.0,0.61,33.46 +96379,Indonesia,2007,COVID-19,Neurological,13.47,8.87,0.46,0-18,Male,869814,63.31,2.63,9.76,Surgery,40258.0,Yes,86.09,2470.0,3.79,5290.0,0.44,64.46 +96403,USA,2001,Leprosy,Respiratory,18.84,1.94,6.17,61+,Male,740969,65.18,4.84,0.52,Therapy,23584.0,No,57.2,2729.0,4.05,54138.0,0.74,52.39 +96405,Nigeria,2003,Measles,Respiratory,3.18,9.27,0.59,36-60,Other,341154,76.3,4.33,6.9,Surgery,30372.0,No,77.63,2453.0,3.46,42097.0,0.77,30.78 +96408,Indonesia,2009,Diabetes,Parasitic,18.22,11.05,1.9,61+,Male,713970,92.86,1.23,3.99,Surgery,37925.0,No,74.79,2325.0,4.4,59877.0,0.83,78.81 +96418,Australia,2001,Parkinson's Disease,Autoimmune,14.24,1.73,0.75,36-60,Other,37074,56.95,1.88,9.65,Vaccination,21266.0,Yes,64.36,2544.0,0.11,10713.0,0.61,28.93 +96425,Canada,2023,Diabetes,Infectious,8.12,13.68,1.21,61+,Other,247413,78.67,3.69,5.16,Vaccination,2134.0,No,65.41,1620.0,3.02,53365.0,0.73,83.14 +96427,China,2001,Tuberculosis,Parasitic,13.51,7.72,9.05,36-60,Other,139481,96.53,3.75,1.92,Surgery,12681.0,No,74.45,735.0,0.48,20614.0,0.54,44.47 +96429,Turkey,2000,Polio,Infectious,13.0,3.08,3.33,19-35,Other,222464,93.56,0.75,8.61,Surgery,38067.0,No,59.07,341.0,5.72,36283.0,0.77,57.63 +96432,France,2022,Hypertension,Cardiovascular,16.42,3.69,4.95,19-35,Female,303335,60.19,3.64,0.88,Vaccination,1858.0,Yes,90.18,4339.0,9.85,55660.0,0.61,78.48 +96438,South Africa,2012,Hepatitis,Cardiovascular,0.18,4.19,8.69,19-35,Female,299612,69.58,2.52,7.01,Medication,2820.0,No,88.85,4536.0,3.61,29377.0,0.72,68.57 +96445,Argentina,2015,Hepatitis,Infectious,13.75,5.55,7.22,36-60,Male,172491,77.05,4.95,5.78,Vaccination,36352.0,Yes,68.47,603.0,1.1,31612.0,0.66,86.53 +96448,Italy,2012,COVID-19,Viral,3.04,4.85,1.9,61+,Other,15130,69.23,3.74,8.42,Therapy,34756.0,No,76.74,4200.0,8.8,72349.0,0.43,62.73 +96452,Turkey,2007,Alzheimer's Disease,Autoimmune,16.82,9.58,9.68,19-35,Other,763100,86.68,1.87,2.38,Vaccination,31511.0,No,74.53,4560.0,6.27,74262.0,0.48,38.16 +96461,China,2019,Influenza,Genetic,1.4,13.87,9.56,0-18,Male,134912,89.17,3.51,4.34,Therapy,15663.0,Yes,70.18,3626.0,3.77,7082.0,0.86,83.99 +96465,Mexico,2002,Rabies,Cardiovascular,12.2,10.24,0.68,19-35,Other,939697,54.11,1.78,2.25,Therapy,47612.0,No,81.82,4868.0,6.79,39270.0,0.52,67.56 +96466,Turkey,2024,Rabies,Viral,17.89,8.21,4.11,19-35,Other,808750,66.41,1.09,9.28,Surgery,4135.0,No,91.65,4764.0,0.67,94400.0,0.61,31.12 +96468,Japan,2001,Cholera,Bacterial,6.67,13.06,6.0,0-18,Female,526253,96.27,1.24,8.85,Surgery,22591.0,No,50.86,3119.0,9.26,53169.0,0.58,85.95 +96470,South Africa,2002,Hypertension,Respiratory,0.86,2.36,6.46,36-60,Female,213280,70.47,3.81,9.13,Surgery,39474.0,Yes,94.81,921.0,9.06,9958.0,0.45,25.06 +96471,Australia,2010,Rabies,Infectious,9.75,3.09,0.85,36-60,Male,588078,93.18,1.19,9.04,Vaccination,31135.0,No,58.84,876.0,4.78,51117.0,0.55,21.63 +96472,Canada,2018,HIV/AIDS,Infectious,4.55,8.05,3.54,61+,Other,659921,87.73,1.0,3.46,Therapy,48461.0,Yes,85.24,1841.0,7.38,8851.0,0.7,20.74 +96479,Argentina,2015,HIV/AIDS,Viral,14.78,9.39,5.26,19-35,Other,673257,66.73,4.49,2.29,Surgery,9625.0,Yes,93.91,1776.0,0.93,47913.0,0.86,56.12 +96483,South Africa,2018,Cancer,Respiratory,18.52,12.16,0.35,19-35,Other,971042,64.25,2.58,7.71,Medication,39482.0,Yes,70.14,3843.0,6.36,99855.0,0.64,39.2 +96484,India,2020,Rabies,Genetic,8.75,14.55,2.61,0-18,Male,478177,64.53,0.65,3.97,Medication,3122.0,No,59.76,3037.0,6.87,796.0,0.66,73.42 +96486,USA,2023,Hypertension,Parasitic,10.34,13.17,2.38,36-60,Female,13713,97.46,4.18,8.19,Vaccination,38524.0,Yes,60.02,4184.0,0.36,19027.0,0.42,86.68 +96488,India,2014,Hepatitis,Autoimmune,12.84,3.44,5.61,36-60,Female,694222,83.05,3.91,6.58,Medication,25975.0,No,78.94,246.0,5.27,22919.0,0.61,59.85 +96495,South Africa,2015,Asthma,Cardiovascular,5.85,1.87,1.82,36-60,Female,74431,92.39,1.35,5.33,Surgery,20865.0,Yes,92.57,1273.0,9.14,14854.0,0.64,43.65 +96496,Japan,2014,Tuberculosis,Metabolic,17.93,1.72,4.35,61+,Male,396119,55.94,1.58,5.85,Vaccination,10365.0,No,95.29,1970.0,8.27,87705.0,0.87,76.06 +96498,Argentina,2004,Measles,Neurological,15.47,9.58,5.89,19-35,Male,257514,50.57,4.06,3.38,Therapy,27522.0,Yes,69.28,486.0,3.2,19491.0,0.44,37.29 +96505,Italy,2013,Tuberculosis,Viral,9.74,8.81,9.83,36-60,Other,778009,54.23,1.93,7.23,Vaccination,12532.0,Yes,60.32,3913.0,7.33,5735.0,0.7,81.83 +96506,Russia,2003,Ebola,Autoimmune,11.25,2.73,8.8,36-60,Female,38005,78.76,4.35,8.29,Vaccination,40427.0,No,75.98,2378.0,1.23,55795.0,0.71,22.34 +96514,Brazil,2020,HIV/AIDS,Parasitic,16.48,12.7,5.14,36-60,Male,281698,77.54,3.99,2.5,Surgery,38274.0,No,95.8,2237.0,3.18,41334.0,0.86,76.66 +96519,Argentina,2019,Malaria,Neurological,8.56,13.74,2.29,0-18,Male,616523,99.55,1.81,8.7,Surgery,42892.0,No,95.19,4795.0,3.0,32456.0,0.77,31.16 +96526,Nigeria,2002,Hepatitis,Bacterial,5.15,10.2,0.36,61+,Female,622665,86.69,3.45,4.49,Therapy,48102.0,No,52.77,1987.0,6.16,44299.0,0.76,77.37 +96536,Argentina,2020,Malaria,Respiratory,19.06,10.19,8.61,36-60,Male,167077,58.83,3.13,3.34,Vaccination,21904.0,Yes,53.94,1786.0,1.03,82327.0,0.43,78.1 +96537,Canada,2005,Parkinson's Disease,Respiratory,14.72,11.74,1.32,36-60,Other,253723,54.68,2.11,2.91,Therapy,24115.0,No,50.91,2118.0,6.71,1218.0,0.6,76.89 +96539,Germany,2012,COVID-19,Cardiovascular,15.54,13.43,2.39,36-60,Other,541630,66.81,1.66,6.16,Medication,8343.0,Yes,93.09,2643.0,9.14,98127.0,0.56,85.55 +96540,France,2021,Tuberculosis,Viral,0.76,3.11,3.05,0-18,Male,419120,87.15,3.75,7.07,Medication,44439.0,Yes,70.7,1874.0,7.71,77960.0,0.53,72.71 +96545,Saudi Arabia,2001,Asthma,Parasitic,7.76,8.59,5.49,61+,Female,6269,85.69,2.4,0.54,Medication,42480.0,Yes,86.7,2868.0,5.03,34553.0,0.78,87.82 +96550,Indonesia,2007,Asthma,Parasitic,10.2,14.45,1.34,19-35,Male,987932,60.07,4.54,5.17,Medication,39219.0,No,56.57,3324.0,9.25,81357.0,0.54,34.92 +96552,Canada,2006,Dengue,Parasitic,12.65,2.98,7.6,61+,Male,927781,69.66,2.59,4.45,Therapy,35738.0,No,50.59,4076.0,9.78,86139.0,0.67,66.92 +96558,USA,2010,Dengue,Metabolic,10.42,3.45,5.42,19-35,Female,457069,66.14,1.25,0.52,Therapy,40096.0,Yes,96.81,834.0,3.02,24549.0,0.46,54.55 +96559,Italy,2013,Influenza,Metabolic,9.03,8.98,4.58,0-18,Other,741838,75.27,0.93,5.18,Vaccination,48399.0,No,72.86,3736.0,9.91,87743.0,0.42,25.63 +96563,South Africa,2024,Hepatitis,Neurological,4.44,7.74,7.3,61+,Other,734476,97.17,3.2,6.9,Therapy,6227.0,Yes,95.46,2774.0,9.14,26629.0,0.77,63.73 +96566,Japan,2012,Malaria,Bacterial,14.29,8.58,6.44,19-35,Other,648632,70.55,2.15,5.06,Therapy,1206.0,No,90.04,3625.0,4.62,65035.0,0.44,47.84 +96570,Saudi Arabia,2006,Asthma,Respiratory,1.81,13.43,9.75,61+,Male,22261,76.47,2.54,4.58,Therapy,27731.0,No,89.93,500.0,5.93,76312.0,0.7,67.82 +96579,South Korea,2020,Hepatitis,Genetic,0.83,6.91,9.64,0-18,Other,232735,91.92,1.04,4.16,Surgery,17100.0,Yes,68.96,4516.0,4.09,98219.0,0.67,72.95 +96585,Italy,2020,Influenza,Cardiovascular,5.94,13.67,9.0,61+,Female,107099,68.88,0.61,0.51,Surgery,29980.0,No,51.71,4831.0,0.85,35314.0,0.52,53.13 +96593,South Korea,2008,Rabies,Infectious,7.32,5.39,6.2,61+,Other,328567,91.71,1.33,2.56,Therapy,19245.0,No,51.3,1614.0,4.22,65765.0,0.76,49.23 +96594,Mexico,2001,Dengue,Neurological,11.47,7.02,6.52,19-35,Male,894812,64.51,1.53,2.33,Surgery,18716.0,No,53.02,4692.0,8.38,15075.0,0.69,46.33 +96596,Nigeria,2019,Measles,Parasitic,0.42,7.69,8.34,61+,Female,549955,64.52,1.6,8.66,Therapy,1705.0,No,73.85,3915.0,3.64,63828.0,0.78,58.43 +96598,Nigeria,2020,COVID-19,Infectious,17.27,5.22,2.59,61+,Other,354731,69.74,3.66,3.63,Medication,44151.0,No,50.47,480.0,5.02,18781.0,0.85,29.27 +96603,UK,2011,Polio,Metabolic,17.44,7.14,0.52,36-60,Female,248326,67.7,3.09,8.02,Therapy,37071.0,Yes,67.24,3933.0,9.34,5102.0,0.62,58.79 +96622,Italy,2006,Polio,Infectious,9.27,11.47,8.47,36-60,Other,936906,63.8,3.55,6.84,Therapy,23052.0,Yes,85.85,1041.0,9.67,91969.0,0.47,59.29 +96628,Mexico,2010,Hypertension,Cardiovascular,13.97,4.96,5.26,36-60,Male,179298,78.43,3.02,5.32,Medication,15260.0,Yes,66.05,4547.0,2.0,60238.0,0.62,20.19 +96636,India,2016,COVID-19,Infectious,8.59,9.8,0.75,0-18,Female,973430,87.77,2.42,8.94,Vaccination,38899.0,No,81.29,2097.0,9.03,47843.0,0.89,60.38 +96644,France,2008,Rabies,Bacterial,1.95,10.55,0.93,61+,Male,551862,70.61,3.62,6.49,Therapy,40447.0,Yes,66.27,1043.0,4.09,57083.0,0.79,70.73 +96647,South Korea,2013,Measles,Bacterial,3.02,14.33,5.58,61+,Male,284195,67.71,4.84,7.4,Surgery,19353.0,Yes,90.31,2410.0,6.06,58735.0,0.4,21.04 +96651,Canada,2021,Asthma,Autoimmune,15.44,1.76,6.75,19-35,Other,525568,63.86,3.9,7.55,Surgery,35846.0,Yes,76.31,4281.0,5.93,74370.0,0.47,68.55 +96652,Germany,2018,Alzheimer's Disease,Autoimmune,1.85,11.66,4.73,61+,Other,449642,86.7,2.19,3.19,Medication,41429.0,No,94.74,4222.0,4.39,41894.0,0.67,28.66 +96672,Russia,2001,Cholera,Metabolic,7.25,4.38,2.42,36-60,Male,162539,55.6,4.11,0.76,Therapy,14032.0,No,52.57,4534.0,3.97,94620.0,0.76,49.96 +96679,Japan,2006,Alzheimer's Disease,Respiratory,19.49,11.61,7.51,61+,Male,69146,58.07,3.27,1.4,Surgery,18687.0,Yes,58.45,994.0,3.92,33561.0,0.7,43.55 +96694,South Africa,2017,Alzheimer's Disease,Infectious,16.15,7.25,2.92,36-60,Female,658976,59.93,1.3,3.23,Medication,46450.0,No,85.34,726.0,0.35,32036.0,0.52,49.99 +96696,Indonesia,2014,Zika,Chronic,5.43,9.9,6.55,61+,Male,250004,88.76,0.76,6.83,Therapy,31349.0,Yes,81.11,3409.0,0.33,83685.0,0.73,83.74 +96698,Canada,2018,Influenza,Neurological,6.66,4.19,6.64,0-18,Other,135576,64.64,2.42,6.02,Therapy,24727.0,No,89.63,1194.0,6.3,76700.0,0.44,35.54 +96699,India,2018,HIV/AIDS,Genetic,11.0,13.55,4.66,0-18,Male,526227,98.55,2.27,6.81,Medication,13350.0,Yes,97.71,1654.0,8.81,3126.0,0.53,65.52 +96700,China,2003,Asthma,Viral,11.94,8.48,6.43,19-35,Female,738636,88.02,3.21,9.2,Vaccination,43076.0,Yes,79.55,2428.0,2.02,89314.0,0.49,42.78 +96701,Indonesia,2018,Dengue,Respiratory,7.62,4.72,7.84,19-35,Female,626501,76.07,1.15,6.36,Vaccination,30470.0,No,74.29,3495.0,8.69,78778.0,0.84,70.59 +96704,China,2008,Cholera,Autoimmune,11.12,2.03,7.7,61+,Other,272709,70.84,3.63,1.72,Surgery,40174.0,Yes,53.03,2071.0,1.25,3756.0,0.83,52.69 +96719,USA,2019,Polio,Cardiovascular,7.15,3.85,6.76,36-60,Female,884589,53.39,2.12,7.02,Surgery,24948.0,Yes,97.79,4160.0,8.4,9666.0,0.61,60.28 +96720,Russia,2020,Cholera,Autoimmune,6.08,3.89,9.39,36-60,Male,448329,51.25,3.17,3.97,Medication,48205.0,Yes,98.64,2416.0,5.45,58158.0,0.78,51.9 +96725,Turkey,2007,Hepatitis,Parasitic,13.55,1.83,7.34,36-60,Male,822288,67.67,2.72,6.2,Therapy,1281.0,No,89.52,1274.0,0.07,99809.0,0.51,78.91 +96730,Nigeria,2018,Alzheimer's Disease,Viral,9.92,12.59,0.68,19-35,Male,651259,54.59,1.98,4.81,Medication,38988.0,No,69.82,4312.0,8.63,47647.0,0.58,83.71 +96732,Argentina,2011,Asthma,Chronic,17.8,4.41,6.7,0-18,Other,27332,80.62,2.96,3.7,Medication,20152.0,No,58.58,1168.0,3.63,94354.0,0.74,27.59 +96734,Argentina,2001,Diabetes,Parasitic,16.25,5.62,9.62,61+,Male,246246,93.71,1.23,1.37,Vaccination,26698.0,Yes,66.22,518.0,7.54,21758.0,0.44,26.22 +96742,Argentina,2007,Tuberculosis,Infectious,14.31,1.86,2.21,19-35,Female,695624,55.44,0.75,2.5,Surgery,4992.0,No,71.62,1062.0,3.01,12197.0,0.62,39.1 +96746,Russia,2005,Zika,Metabolic,14.15,7.23,1.71,36-60,Female,168271,99.95,3.65,4.07,Surgery,3976.0,Yes,64.11,92.0,4.09,30894.0,0.63,51.28 +96748,Italy,2000,Measles,Viral,5.97,1.18,8.16,36-60,Other,413809,95.99,4.4,8.65,Therapy,30042.0,Yes,64.78,4916.0,6.05,14272.0,0.53,86.01 +96754,China,2019,Diabetes,Neurological,7.72,14.82,1.24,36-60,Male,779762,86.83,2.85,8.03,Vaccination,44835.0,No,86.05,2260.0,7.15,64708.0,0.78,68.58 +96760,Canada,2024,Zika,Neurological,11.86,5.61,1.04,61+,Female,514019,74.5,4.84,8.66,Surgery,3012.0,No,53.46,1715.0,2.83,39395.0,0.84,62.71 +96765,Turkey,2010,Influenza,Genetic,8.62,11.75,2.43,19-35,Female,111344,82.76,3.96,2.68,Surgery,22508.0,No,74.42,566.0,6.92,85981.0,0.73,79.45 +96766,Nigeria,2015,Influenza,Neurological,5.84,8.0,9.75,19-35,Other,743070,99.83,4.18,2.44,Surgery,40909.0,No,61.61,3687.0,4.91,58398.0,0.47,31.19 +96779,South Africa,2008,Hypertension,Neurological,12.2,10.43,6.42,19-35,Other,626470,75.33,0.77,4.61,Therapy,11437.0,Yes,52.91,3578.0,9.65,31316.0,0.45,31.48 +96783,Australia,2014,Leprosy,Parasitic,6.4,1.01,4.89,36-60,Female,227236,57.53,2.59,6.41,Vaccination,35641.0,Yes,69.66,1033.0,2.03,57343.0,0.89,73.76 +96790,Turkey,2006,HIV/AIDS,Cardiovascular,3.38,9.66,0.27,61+,Other,967446,99.24,4.51,9.48,Medication,35937.0,Yes,91.13,4996.0,1.76,95870.0,0.64,83.68 +96793,Japan,2000,Rabies,Metabolic,16.41,13.96,4.1,0-18,Male,815423,58.15,1.94,2.02,Vaccination,8566.0,Yes,56.74,3211.0,2.39,41691.0,0.65,65.72 +96797,South Korea,2007,Dengue,Metabolic,3.93,14.36,3.09,19-35,Other,702326,52.54,2.38,4.98,Surgery,27146.0,Yes,90.36,1875.0,0.07,39791.0,0.59,58.88 +96802,Turkey,2010,Asthma,Cardiovascular,10.17,2.98,4.85,61+,Male,104525,62.84,0.74,4.56,Surgery,31643.0,No,62.16,4778.0,9.59,20196.0,0.6,36.06 +96803,France,2014,Zika,Viral,12.51,8.18,2.78,0-18,Male,899604,58.49,3.59,4.75,Vaccination,25517.0,Yes,50.48,4636.0,3.55,20234.0,0.86,70.51 +96809,Brazil,2020,Parkinson's Disease,Cardiovascular,6.02,13.37,2.93,0-18,Female,579598,70.23,4.62,4.44,Medication,26359.0,No,76.04,4171.0,2.59,57233.0,0.42,50.5 +96812,Brazil,2003,Zika,Respiratory,13.88,4.43,5.64,61+,Other,847761,64.82,4.36,5.4,Medication,20693.0,Yes,65.46,2487.0,6.15,70935.0,0.84,46.07 +96815,South Korea,2024,COVID-19,Parasitic,10.68,9.27,9.63,36-60,Female,724306,73.17,1.35,6.18,Therapy,35281.0,No,75.38,203.0,6.72,20051.0,0.49,86.45 +96817,Argentina,2005,Malaria,Parasitic,15.51,8.44,6.01,19-35,Female,832903,58.03,2.25,2.08,Medication,8153.0,Yes,86.48,1751.0,2.42,57504.0,0.82,71.73 +96818,Germany,2013,Tuberculosis,Autoimmune,17.41,11.04,0.87,61+,Female,984183,58.78,1.45,8.25,Vaccination,37166.0,Yes,66.8,1769.0,5.22,31880.0,0.81,26.16 +96823,Nigeria,2024,Ebola,Genetic,4.88,9.25,3.79,0-18,Female,910873,65.2,3.95,0.76,Medication,21963.0,Yes,62.68,3867.0,9.18,68137.0,0.42,40.96 +96824,Brazil,2014,Dengue,Bacterial,12.85,9.54,9.53,61+,Male,206286,91.6,2.18,1.54,Surgery,30911.0,No,83.23,4833.0,7.53,4496.0,0.66,50.29 +96825,Turkey,2020,Rabies,Viral,6.21,4.98,4.28,0-18,Male,1177,99.76,3.66,8.31,Medication,42377.0,No,89.64,2363.0,7.01,53655.0,0.62,52.14 +96828,Brazil,2008,Asthma,Metabolic,3.43,5.48,8.17,19-35,Other,62324,85.57,2.1,2.26,Therapy,20348.0,Yes,50.02,3892.0,5.11,66348.0,0.56,28.15 +96836,Germany,2017,Diabetes,Viral,8.18,0.22,0.88,36-60,Other,424877,77.1,1.57,9.28,Therapy,11737.0,Yes,52.57,4917.0,8.49,59988.0,0.66,44.22 +96840,South Africa,2001,Malaria,Neurological,11.52,3.69,4.67,0-18,Other,440347,71.19,4.43,6.54,Surgery,16472.0,Yes,77.85,117.0,2.85,69218.0,0.5,33.47 +96843,France,2011,Diabetes,Neurological,18.24,1.29,8.97,0-18,Female,970260,83.82,3.64,2.72,Therapy,40804.0,Yes,57.12,1966.0,8.59,55023.0,0.55,81.08 +96850,Mexico,2008,Rabies,Chronic,13.89,9.57,8.85,36-60,Male,326208,69.76,1.51,9.62,Vaccination,45942.0,Yes,54.71,3787.0,0.88,1497.0,0.76,55.66 +96858,Australia,2008,Hepatitis,Genetic,12.6,12.11,5.01,19-35,Female,326883,91.1,1.27,9.23,Surgery,13109.0,Yes,66.35,2749.0,0.91,16340.0,0.88,76.93 +96861,Canada,2024,Leprosy,Autoimmune,11.43,9.09,2.22,61+,Male,809499,87.9,2.82,4.83,Medication,16944.0,Yes,88.55,1646.0,2.17,3207.0,0.53,24.89 +96863,Japan,2008,HIV/AIDS,Respiratory,10.46,14.19,6.03,19-35,Female,882286,94.18,2.89,4.87,Therapy,36416.0,Yes,57.31,4529.0,3.27,31237.0,0.53,73.77 +96864,China,2011,Influenza,Metabolic,6.77,5.88,2.6,19-35,Male,338973,53.43,1.43,5.55,Medication,23602.0,Yes,57.11,3902.0,4.7,40073.0,0.82,55.87 +96869,Germany,2002,Hepatitis,Viral,6.6,13.64,2.57,0-18,Other,443371,52.16,3.77,2.69,Therapy,22213.0,No,60.34,502.0,6.68,81498.0,0.83,65.43 +96883,Germany,2023,Rabies,Viral,1.47,2.9,9.73,19-35,Female,757984,90.79,1.99,1.42,Therapy,20549.0,No,84.64,1293.0,9.38,96393.0,0.8,21.58 +96884,Germany,2007,Hepatitis,Metabolic,8.14,5.84,7.2,0-18,Male,305344,76.94,4.9,2.01,Vaccination,29614.0,Yes,84.09,1744.0,0.41,76362.0,0.44,89.02 +96885,South Korea,2009,Malaria,Neurological,6.3,8.28,6.96,19-35,Other,296673,58.52,3.12,0.7,Surgery,18999.0,Yes,74.99,519.0,2.82,22614.0,0.89,63.89 +96888,USA,2016,Zika,Viral,1.33,3.78,3.85,36-60,Other,204822,61.03,4.11,2.98,Therapy,16241.0,Yes,98.17,1190.0,6.73,64358.0,0.63,76.36 +96906,UK,2021,HIV/AIDS,Chronic,5.38,5.32,6.44,61+,Male,434363,66.11,3.55,5.58,Therapy,5727.0,No,88.36,4785.0,8.08,20353.0,0.7,48.14 +96910,Indonesia,2015,Parkinson's Disease,Genetic,17.27,10.17,6.35,36-60,Female,621202,53.46,1.34,3.2,Vaccination,18083.0,No,97.85,2932.0,9.06,43136.0,0.66,26.6 +96913,India,2003,HIV/AIDS,Cardiovascular,6.82,5.78,1.8,36-60,Female,177997,66.24,1.03,7.13,Therapy,6169.0,Yes,66.78,2916.0,9.03,10269.0,0.6,27.18 +96916,Saudi Arabia,2012,Zika,Genetic,6.71,6.19,2.97,36-60,Other,791863,96.81,2.61,5.54,Medication,41212.0,Yes,91.3,2822.0,7.45,88870.0,0.73,43.19 +96918,USA,2021,Cancer,Respiratory,2.1,1.91,3.03,61+,Male,150402,63.5,0.69,9.45,Vaccination,34373.0,Yes,88.39,2020.0,4.56,52619.0,0.88,53.44 +96930,Italy,2001,Alzheimer's Disease,Cardiovascular,9.36,2.36,2.94,36-60,Male,818069,72.63,1.81,7.85,Vaccination,7119.0,No,91.7,964.0,4.14,36656.0,0.7,53.09 +96937,Indonesia,2023,Dengue,Genetic,6.05,1.25,9.7,19-35,Female,232677,66.66,3.62,6.18,Medication,13407.0,No,70.78,1284.0,8.37,50075.0,0.76,24.29 +96943,Turkey,2021,Tuberculosis,Autoimmune,1.16,12.63,5.89,61+,Male,949587,99.1,1.28,2.87,Vaccination,28516.0,No,92.27,4159.0,7.65,3706.0,0.58,21.38 +96944,Australia,2011,Alzheimer's Disease,Bacterial,6.07,12.65,3.73,0-18,Male,802161,81.09,2.49,4.73,Therapy,537.0,Yes,62.99,2007.0,3.85,67903.0,0.62,47.43 +96947,Russia,2019,Cancer,Neurological,9.31,6.01,8.21,61+,Male,42802,73.62,3.27,4.58,Surgery,12641.0,No,83.64,4703.0,0.6,58560.0,0.61,69.19 +96950,Argentina,2012,Cholera,Neurological,16.47,0.6,8.09,61+,Female,367788,60.24,2.52,0.8,Medication,17464.0,Yes,68.06,4266.0,3.19,53546.0,0.55,62.61 +96951,Australia,2002,Leprosy,Autoimmune,8.1,10.98,0.74,0-18,Female,747762,67.13,4.72,2.03,Surgery,25524.0,No,64.09,2199.0,6.14,19488.0,0.73,31.88 +96959,Argentina,2018,Ebola,Genetic,15.27,9.85,7.42,36-60,Male,321786,89.29,3.54,1.29,Vaccination,37415.0,No,56.99,3233.0,2.21,36623.0,0.77,39.94 +96965,Brazil,2007,Zika,Chronic,8.1,7.98,8.98,0-18,Other,418859,54.99,0.7,1.9,Medication,3984.0,No,51.43,896.0,7.78,50881.0,0.71,84.32 +96976,USA,2010,Malaria,Respiratory,17.13,5.97,0.62,36-60,Other,85906,77.79,2.92,2.58,Vaccination,26536.0,Yes,81.81,4121.0,0.21,87220.0,0.68,36.35 +96980,France,2013,Hepatitis,Genetic,10.22,14.63,5.69,36-60,Other,405565,85.58,4.31,9.99,Vaccination,25975.0,Yes,50.13,2643.0,1.51,49145.0,0.6,40.15 +96984,China,2014,Leprosy,Neurological,17.79,11.2,5.77,19-35,Other,11690,97.05,1.72,4.07,Medication,47251.0,No,72.59,1747.0,9.54,16109.0,0.45,31.97 +96987,Saudi Arabia,2021,Cancer,Metabolic,19.6,11.87,2.12,0-18,Female,810621,92.85,3.95,6.36,Vaccination,10197.0,Yes,88.05,3100.0,1.5,81979.0,0.71,42.59 +97000,Germany,2003,Rabies,Viral,19.5,4.35,6.44,0-18,Other,403175,68.77,1.13,5.02,Vaccination,18369.0,Yes,76.48,3838.0,9.73,64306.0,0.68,71.56 +97002,Canada,2006,HIV/AIDS,Infectious,18.69,8.17,5.04,19-35,Other,157935,66.15,2.32,5.74,Surgery,33454.0,No,89.98,3355.0,2.87,38905.0,0.83,29.84 +97003,Germany,2012,Tuberculosis,Genetic,1.38,11.16,9.74,36-60,Other,371919,76.98,2.32,6.03,Therapy,26446.0,Yes,68.48,151.0,6.69,79539.0,0.55,76.38 +97006,France,2011,Rabies,Bacterial,3.98,5.72,7.67,0-18,Other,31246,90.34,0.96,1.71,Therapy,39224.0,Yes,96.84,1403.0,6.3,32193.0,0.77,50.3 +97008,Nigeria,2011,Cholera,Metabolic,17.48,3.49,8.55,0-18,Male,470889,55.41,3.02,7.42,Surgery,33061.0,Yes,85.86,4930.0,7.33,7363.0,0.46,31.12 +97014,Turkey,2007,Measles,Metabolic,11.16,8.25,3.49,61+,Other,500524,81.77,4.37,5.57,Therapy,18195.0,Yes,72.38,1202.0,9.97,84666.0,0.71,79.35 +97020,Australia,2023,COVID-19,Genetic,3.54,0.81,0.87,0-18,Other,735065,54.54,4.12,2.36,Vaccination,16396.0,No,93.54,1206.0,0.77,41129.0,0.57,52.87 +97024,Saudi Arabia,2006,Malaria,Cardiovascular,8.72,13.95,4.4,0-18,Male,529962,69.97,1.45,3.08,Therapy,33312.0,No,92.85,702.0,3.67,32299.0,0.69,78.69 +97029,Canada,2015,COVID-19,Autoimmune,18.92,12.98,5.49,19-35,Male,940011,70.54,3.83,9.31,Surgery,44284.0,No,59.94,4710.0,4.07,41746.0,0.75,25.7 +97033,Indonesia,2009,Alzheimer's Disease,Viral,13.46,10.88,9.88,61+,Male,508041,52.67,4.4,6.04,Therapy,27991.0,Yes,97.2,2836.0,7.27,78402.0,0.52,55.51 +97041,Australia,2012,Leprosy,Respiratory,13.52,13.16,7.29,36-60,Male,971915,82.98,4.24,4.04,Therapy,26512.0,Yes,88.82,964.0,6.11,61103.0,0.8,20.23 +97044,Australia,2002,Zika,Viral,18.41,13.94,1.21,36-60,Female,708518,94.13,1.58,1.0,Surgery,14525.0,Yes,71.1,791.0,4.5,7256.0,0.81,59.52 +97051,Italy,2013,Dengue,Bacterial,12.79,7.64,9.43,19-35,Male,398224,56.51,4.71,3.94,Surgery,48363.0,No,75.6,3083.0,5.99,12682.0,0.66,77.81 +97056,Mexico,2024,Diabetes,Neurological,8.68,9.74,8.31,61+,Male,672589,85.92,3.0,9.48,Surgery,909.0,Yes,62.0,541.0,9.96,18756.0,0.76,58.28 +97064,Turkey,2009,Cancer,Viral,3.12,2.65,5.2,0-18,Male,125053,91.09,3.61,5.65,Therapy,36745.0,No,84.4,4928.0,5.14,94784.0,0.65,80.93 +97071,Canada,2006,Hypertension,Cardiovascular,15.17,0.58,0.83,36-60,Male,225384,70.32,0.93,3.44,Surgery,11941.0,No,85.53,1723.0,6.51,41991.0,0.79,89.3 +97075,India,2004,Asthma,Neurological,16.32,12.5,1.21,61+,Male,4942,91.35,4.36,8.96,Medication,6176.0,Yes,75.4,2359.0,9.54,26216.0,0.83,65.31 +97084,Brazil,2000,Cholera,Chronic,9.45,2.88,6.22,61+,Other,33550,96.51,3.13,9.16,Medication,24102.0,Yes,62.74,2240.0,6.47,13457.0,0.49,89.14 +97088,France,2013,Parkinson's Disease,Viral,16.43,12.95,3.28,0-18,Male,214145,93.2,3.97,9.94,Medication,48278.0,Yes,82.02,2792.0,0.59,4976.0,0.7,48.83 +97089,Brazil,2015,Leprosy,Metabolic,18.33,2.16,7.41,19-35,Male,882207,82.68,1.01,9.33,Surgery,27028.0,Yes,95.21,983.0,3.37,96408.0,0.7,48.76 +97092,Germany,2013,Hepatitis,Respiratory,5.98,6.43,7.3,36-60,Male,607910,90.34,2.48,0.59,Surgery,34169.0,No,74.51,3274.0,6.01,52028.0,0.63,20.31 +97096,China,2016,Rabies,Genetic,2.75,2.53,8.85,0-18,Male,275490,93.22,3.39,5.75,Vaccination,38082.0,No,53.69,3718.0,7.54,76117.0,0.74,51.1 +97100,Nigeria,2019,Leprosy,Infectious,16.31,6.57,3.72,61+,Male,97929,57.58,3.88,5.01,Therapy,43797.0,Yes,84.42,2775.0,8.3,19520.0,0.84,89.61 +97103,Italy,2002,Zika,Bacterial,18.5,8.76,2.35,61+,Male,534732,57.95,2.96,6.93,Vaccination,20961.0,No,60.87,1880.0,5.83,2673.0,0.76,66.85 +97105,Japan,2008,Influenza,Chronic,11.17,9.73,8.58,19-35,Female,986886,95.18,4.41,4.53,Vaccination,20245.0,Yes,85.2,2727.0,8.51,86587.0,0.83,85.85 +97122,Germany,2017,Influenza,Genetic,1.37,3.47,1.43,0-18,Other,752488,98.82,2.26,1.69,Medication,20370.0,Yes,59.19,3617.0,5.97,78543.0,0.52,54.88 +97125,South Korea,2015,Diabetes,Metabolic,8.45,5.24,5.48,36-60,Female,39025,93.87,4.74,8.38,Vaccination,6544.0,No,50.62,4372.0,6.07,10078.0,0.64,64.35 +97130,France,2020,Influenza,Respiratory,11.14,2.74,1.33,0-18,Female,158316,69.67,2.8,8.45,Surgery,9763.0,Yes,87.67,4112.0,8.39,86701.0,0.61,55.94 +97135,UK,2017,Leprosy,Cardiovascular,19.18,11.52,7.68,19-35,Other,346756,72.98,2.61,3.13,Therapy,32761.0,No,70.43,978.0,6.67,76645.0,0.86,28.41 +97141,Japan,2013,Leprosy,Neurological,9.26,4.1,8.6,19-35,Male,796431,91.78,4.83,7.65,Medication,8414.0,No,80.95,2630.0,1.31,54012.0,0.86,46.83 +97145,USA,2017,COVID-19,Metabolic,11.15,7.04,4.16,19-35,Male,382198,55.55,1.04,8.74,Therapy,3901.0,Yes,66.89,4423.0,2.81,97833.0,0.71,77.49 +97157,Japan,2015,Measles,Parasitic,5.39,9.68,8.71,0-18,Male,767543,60.98,2.76,1.47,Therapy,44087.0,No,95.74,980.0,0.76,59862.0,0.58,42.31 +97162,China,2015,Ebola,Autoimmune,8.57,13.65,2.76,19-35,Male,609805,57.31,1.36,9.86,Therapy,29180.0,No,57.16,3139.0,5.01,47180.0,0.78,37.79 +97167,UK,2001,Leprosy,Infectious,18.17,10.09,4.12,61+,Female,349100,87.08,2.38,9.42,Vaccination,8231.0,No,55.78,250.0,1.35,5141.0,0.5,22.02 +97168,Italy,2007,Influenza,Respiratory,2.09,4.41,0.93,36-60,Male,21750,85.92,4.89,6.95,Vaccination,8236.0,No,72.39,3571.0,0.69,12219.0,0.89,66.28 +97174,Italy,2009,Cancer,Genetic,9.7,4.05,2.6,0-18,Female,288884,56.86,2.84,1.95,Vaccination,36563.0,Yes,94.37,4110.0,5.3,77483.0,0.69,70.84 +97178,USA,2010,Dengue,Viral,5.47,10.21,2.26,61+,Male,92710,73.58,1.13,5.06,Medication,30157.0,Yes,74.63,2172.0,7.66,87043.0,0.69,74.95 +97188,South Africa,2021,Diabetes,Neurological,14.46,4.72,1.29,0-18,Female,972383,70.67,3.34,9.95,Therapy,8820.0,Yes,82.28,2249.0,3.05,27626.0,0.87,20.47 +97195,Brazil,2008,Cancer,Parasitic,18.4,6.57,8.33,19-35,Female,274532,90.85,1.73,5.92,Vaccination,41219.0,No,64.89,476.0,6.09,79460.0,0.53,61.89 +97202,Russia,2020,Malaria,Cardiovascular,9.44,3.15,1.2,61+,Female,168409,62.3,1.56,4.78,Medication,43418.0,No,81.87,2062.0,6.02,64907.0,0.71,63.95 +97205,Nigeria,2015,Polio,Cardiovascular,3.19,4.09,6.5,36-60,Female,653528,53.89,3.68,8.88,Vaccination,43593.0,No,66.3,4116.0,9.06,20254.0,0.51,37.62 +97211,France,2018,Zika,Respiratory,19.83,10.19,9.82,19-35,Other,948173,65.16,0.91,9.72,Vaccination,6035.0,Yes,89.17,1212.0,3.0,84122.0,0.63,41.59 +97212,Nigeria,2024,HIV/AIDS,Neurological,5.36,7.0,8.48,36-60,Female,990093,80.2,2.4,2.05,Therapy,44512.0,No,85.28,2428.0,4.0,59540.0,0.56,55.06 +97218,Italy,2011,Alzheimer's Disease,Bacterial,18.36,6.05,1.67,19-35,Female,65973,71.66,2.39,1.03,Vaccination,14683.0,Yes,64.1,3986.0,3.78,93057.0,0.61,57.13 +97219,India,2021,Leprosy,Respiratory,2.2,8.83,8.44,0-18,Other,447443,74.39,4.58,4.54,Surgery,39437.0,Yes,83.12,3384.0,8.75,32134.0,0.8,40.1 +97222,Russia,2001,COVID-19,Metabolic,10.11,7.29,1.7,19-35,Female,582829,60.01,2.23,4.41,Therapy,41158.0,Yes,74.71,1052.0,5.38,91544.0,0.46,31.86 +97237,Russia,2011,Diabetes,Cardiovascular,13.13,10.89,5.71,61+,Other,677969,88.53,3.89,2.73,Vaccination,44133.0,No,79.25,1727.0,1.21,89571.0,0.72,49.88 +97241,Nigeria,2022,Measles,Genetic,19.32,9.77,1.4,61+,Female,615382,76.44,3.44,6.26,Surgery,14827.0,No,55.22,4648.0,9.25,88153.0,0.41,79.47 +97247,India,2008,Ebola,Respiratory,14.02,12.45,5.66,61+,Male,914037,89.55,1.07,8.49,Therapy,23899.0,No,67.7,347.0,9.61,3216.0,0.79,52.73 +97253,Nigeria,2009,Influenza,Autoimmune,17.76,6.91,6.37,19-35,Male,777136,65.76,3.88,2.25,Medication,7140.0,No,75.03,1384.0,6.89,23588.0,0.82,56.62 +97254,China,2007,COVID-19,Infectious,3.54,0.24,4.88,0-18,Male,810023,68.58,1.7,3.87,Surgery,48172.0,No,63.7,2648.0,6.22,88822.0,0.88,87.73 +97257,India,2003,Measles,Cardiovascular,8.86,7.79,9.57,0-18,Female,95567,55.76,0.74,5.42,Therapy,20690.0,Yes,95.67,370.0,3.16,77596.0,0.81,81.05 +97261,Russia,2003,Asthma,Respiratory,18.63,14.49,5.16,19-35,Female,655757,86.11,4.84,2.53,Medication,44431.0,No,76.6,227.0,6.11,46729.0,0.88,21.64 +97263,Nigeria,2024,Leprosy,Bacterial,13.93,7.64,1.09,36-60,Other,786538,59.75,3.68,0.93,Therapy,1371.0,No,84.19,4706.0,7.15,72906.0,0.87,78.24 +97264,Germany,2001,Cholera,Viral,2.89,2.04,2.94,0-18,Male,697264,60.35,3.4,6.53,Therapy,41949.0,No,57.99,468.0,2.19,37907.0,0.7,67.21 +97266,Saudi Arabia,2001,Alzheimer's Disease,Genetic,1.47,8.63,2.22,0-18,Female,84529,77.37,2.47,9.74,Therapy,44524.0,No,83.73,1900.0,1.66,46625.0,0.6,26.76 +97283,Italy,2020,HIV/AIDS,Autoimmune,19.61,6.95,8.28,0-18,Male,329879,78.28,4.53,7.38,Therapy,22392.0,No,64.53,2928.0,6.1,86691.0,0.42,75.03 +97285,Canada,2003,Diabetes,Metabolic,15.5,8.7,5.76,0-18,Female,619380,90.21,0.53,2.75,Medication,48946.0,Yes,68.28,2935.0,5.95,67612.0,0.82,21.52 +97296,Canada,2019,Zika,Viral,7.77,4.28,9.94,19-35,Female,495255,93.52,4.97,7.41,Surgery,29563.0,No,51.79,3065.0,7.69,92012.0,0.89,56.78 +97300,Italy,2024,Hypertension,Cardiovascular,12.75,3.19,8.57,61+,Female,990008,68.13,3.67,1.07,Medication,23190.0,Yes,89.53,321.0,9.64,61230.0,0.66,82.94 +97307,USA,2004,Cholera,Neurological,16.79,10.02,7.49,61+,Other,881286,96.01,4.1,8.65,Medication,13115.0,Yes,55.95,636.0,6.82,97914.0,0.56,48.67 +97308,Brazil,2001,Leprosy,Infectious,2.67,11.05,3.48,61+,Male,181366,87.27,3.68,8.66,Therapy,19109.0,Yes,91.14,1462.0,4.45,82241.0,0.78,31.14 +97309,India,2022,Diabetes,Bacterial,17.92,7.63,4.36,61+,Other,493920,57.47,2.33,3.72,Therapy,22587.0,Yes,75.72,2417.0,4.49,55668.0,0.81,83.91 +97311,Italy,2017,Cancer,Autoimmune,9.84,11.13,1.66,36-60,Female,395413,66.65,1.18,2.44,Vaccination,18975.0,No,92.42,4944.0,5.77,93213.0,0.61,37.76 +97314,Saudi Arabia,2018,Cancer,Autoimmune,16.63,5.23,5.25,0-18,Other,504254,87.07,1.05,7.13,Surgery,19875.0,No,74.82,1809.0,8.61,64693.0,0.71,48.56 +97316,Germany,2014,Parkinson's Disease,Infectious,13.94,3.97,8.1,61+,Male,212852,86.89,1.53,9.7,Surgery,2291.0,Yes,83.77,405.0,6.67,56006.0,0.66,24.92 +97319,South Africa,2024,Malaria,Bacterial,10.88,0.34,6.07,61+,Male,695228,72.85,3.13,8.28,Surgery,23519.0,Yes,55.56,2827.0,4.61,66752.0,0.55,67.7 +97320,South Africa,2020,Malaria,Genetic,9.81,0.11,5.55,0-18,Other,115004,84.19,2.69,2.38,Medication,2040.0,Yes,82.49,3006.0,4.81,37261.0,0.51,50.76 +97322,Australia,2007,Hepatitis,Autoimmune,1.02,10.39,9.29,36-60,Other,374630,58.91,4.61,3.71,Vaccination,11146.0,No,85.56,3018.0,0.55,95236.0,0.56,39.84 +97324,Saudi Arabia,2010,Measles,Bacterial,8.36,11.25,7.71,61+,Female,509832,72.29,2.33,2.76,Therapy,42756.0,No,57.82,372.0,7.72,58092.0,0.67,20.85 +97325,Indonesia,2015,Cancer,Cardiovascular,5.97,10.58,9.79,36-60,Female,763126,64.58,4.97,4.46,Therapy,34951.0,No,96.97,4828.0,5.51,80106.0,0.77,75.24 +97337,Mexico,2016,Malaria,Infectious,16.44,5.09,5.72,19-35,Other,151883,54.92,1.33,5.96,Vaccination,3187.0,No,64.11,2744.0,3.04,52153.0,0.59,73.78 +97348,Australia,2009,Asthma,Viral,7.09,2.17,1.73,36-60,Female,756432,70.22,2.3,8.42,Therapy,45188.0,No,63.02,3766.0,4.07,84788.0,0.6,69.3 +97354,Nigeria,2000,Malaria,Metabolic,2.76,13.0,0.98,0-18,Other,253247,57.93,3.11,9.87,Surgery,29129.0,Yes,68.58,3012.0,7.56,34987.0,0.51,79.16 +97364,Nigeria,2014,Influenza,Chronic,4.22,13.58,9.45,19-35,Female,518450,87.74,3.66,4.32,Vaccination,43915.0,Yes,69.92,4933.0,2.95,74124.0,0.51,49.84 +97373,Japan,2006,Diabetes,Bacterial,11.67,6.96,1.92,36-60,Other,508972,75.57,4.58,2.52,Surgery,47979.0,Yes,75.61,2925.0,7.27,90533.0,0.71,27.65 +97381,Indonesia,2003,Alzheimer's Disease,Respiratory,10.02,9.57,1.86,61+,Male,866067,81.18,4.28,8.08,Medication,5739.0,Yes,92.62,817.0,2.42,12395.0,0.52,75.16 +97388,South Korea,2008,Cholera,Viral,7.2,13.74,5.1,19-35,Female,957158,88.23,2.96,0.86,Surgery,20906.0,Yes,52.66,3400.0,2.31,75179.0,0.66,43.19 +97390,Germany,2011,Asthma,Cardiovascular,14.7,4.47,1.89,0-18,Female,37301,70.92,3.28,5.51,Therapy,12823.0,No,85.87,4427.0,1.76,51843.0,0.64,45.55 +97391,Indonesia,2010,Parkinson's Disease,Bacterial,11.17,6.54,5.78,61+,Other,699995,83.84,4.6,6.83,Surgery,25568.0,No,82.81,4818.0,7.71,25764.0,0.49,82.71 +97397,Australia,2007,Ebola,Bacterial,6.03,5.35,6.96,0-18,Female,553737,50.41,3.26,8.89,Therapy,16848.0,No,84.13,4276.0,1.95,68630.0,0.48,71.99 +97400,Australia,2015,Tuberculosis,Genetic,8.08,2.28,2.2,36-60,Other,33552,60.24,1.76,8.35,Vaccination,22544.0,No,83.77,1500.0,1.79,25915.0,0.87,40.3 +97401,Indonesia,2002,Polio,Autoimmune,11.65,12.61,9.77,0-18,Female,896554,79.09,3.36,4.31,Medication,18736.0,Yes,70.09,1593.0,1.99,30814.0,0.7,73.09 +97403,South Korea,2022,Parkinson's Disease,Respiratory,19.81,8.54,2.51,36-60,Other,230841,82.79,2.53,4.65,Therapy,2555.0,Yes,72.75,90.0,9.16,37749.0,0.56,31.06 +97413,Japan,2006,Parkinson's Disease,Parasitic,16.92,1.44,8.8,36-60,Male,867645,51.59,2.51,4.79,Surgery,38883.0,No,90.74,3978.0,6.79,63756.0,0.54,25.64 +97414,Germany,2023,Hypertension,Genetic,14.58,5.54,2.83,36-60,Female,902423,87.5,0.54,3.01,Medication,47887.0,Yes,87.85,1853.0,1.06,53428.0,0.8,72.88 +97429,Australia,2019,COVID-19,Bacterial,7.74,10.25,4.04,0-18,Male,613000,83.46,3.98,5.42,Vaccination,30668.0,Yes,50.02,250.0,9.93,48177.0,0.86,85.44 +97431,South Africa,2011,Dengue,Viral,12.27,5.53,9.01,36-60,Female,477791,76.83,2.27,4.93,Medication,34255.0,Yes,55.77,3084.0,3.51,84048.0,0.51,78.57 +97434,Turkey,2015,Hepatitis,Genetic,7.97,8.75,7.93,19-35,Other,462801,55.81,3.69,4.03,Therapy,23222.0,No,56.87,4271.0,5.96,74950.0,0.9,74.13 +97442,UK,2009,Hypertension,Viral,7.58,11.99,5.55,36-60,Male,651888,96.56,4.57,5.97,Medication,33285.0,No,50.47,3128.0,2.62,54248.0,0.55,73.84 +97445,South Africa,2011,HIV/AIDS,Autoimmune,14.47,12.52,8.08,61+,Female,472540,97.76,3.0,5.72,Medication,205.0,No,73.5,109.0,4.99,1209.0,0.75,64.65 +97446,India,2005,HIV/AIDS,Genetic,3.03,2.44,3.66,19-35,Male,418970,57.94,1.83,1.38,Therapy,1480.0,No,85.51,1776.0,6.6,1221.0,0.48,86.51 +97458,France,2011,Zika,Parasitic,6.25,10.22,0.95,0-18,Male,758138,69.13,1.31,9.45,Vaccination,15004.0,Yes,66.32,322.0,2.8,57842.0,0.57,49.57 +97466,Japan,2009,Diabetes,Cardiovascular,1.95,14.88,9.53,61+,Female,95396,62.71,4.16,6.33,Therapy,1776.0,Yes,69.04,3345.0,2.59,88729.0,0.64,43.24 +97468,Argentina,2010,Polio,Chronic,17.1,2.63,3.96,0-18,Female,757736,85.1,3.93,4.88,Vaccination,18730.0,Yes,73.37,1802.0,2.98,91900.0,0.64,47.78 +97478,Turkey,2013,Rabies,Viral,11.22,11.42,0.79,19-35,Female,648289,83.8,2.01,7.45,Vaccination,31924.0,Yes,50.0,3260.0,6.97,21906.0,0.64,39.05 +97490,Mexico,2006,Cancer,Metabolic,14.29,8.72,8.64,0-18,Other,107364,89.09,1.01,9.52,Surgery,5786.0,Yes,65.04,579.0,4.37,62505.0,0.48,81.75 +97492,Germany,2020,Measles,Parasitic,16.4,14.02,5.13,36-60,Other,385877,61.06,4.36,9.58,Vaccination,49502.0,No,93.14,3198.0,9.81,97661.0,0.64,69.31 +97500,South Korea,2015,Ebola,Chronic,2.42,6.82,0.28,0-18,Female,143843,56.66,4.27,9.93,Vaccination,23646.0,No,97.93,3768.0,2.99,94203.0,0.83,52.27 +97506,Germany,2012,Asthma,Bacterial,1.8,9.53,9.74,0-18,Male,68509,80.91,2.79,6.11,Surgery,29127.0,Yes,94.51,2990.0,5.76,36615.0,0.87,76.66 +97507,Mexico,2011,Influenza,Viral,19.74,7.06,0.36,61+,Female,956622,86.66,2.21,5.27,Therapy,34529.0,Yes,58.12,4123.0,3.19,29405.0,0.54,87.55 +97509,Germany,2009,Hepatitis,Bacterial,4.59,6.23,5.34,36-60,Other,437662,73.81,2.6,7.67,Therapy,19827.0,No,57.62,2858.0,4.06,14155.0,0.51,70.13 +97514,South Africa,2019,Alzheimer's Disease,Parasitic,12.91,3.21,8.66,36-60,Female,586390,60.55,4.98,2.08,Medication,14709.0,Yes,65.68,2453.0,1.96,90667.0,0.85,68.18 +97520,South Korea,2018,Zika,Bacterial,1.29,11.85,2.18,61+,Other,621278,85.19,2.08,2.69,Surgery,16213.0,Yes,77.11,2901.0,8.26,36585.0,0.56,43.23 +97522,Turkey,2021,Leprosy,Genetic,12.44,4.54,6.66,19-35,Other,70641,77.79,0.96,4.5,Therapy,48678.0,No,62.74,2617.0,1.72,38950.0,0.61,68.27 +97524,Nigeria,2000,Hepatitis,Genetic,9.06,2.19,1.73,19-35,Female,186842,84.6,2.1,9.45,Therapy,47733.0,No,62.28,424.0,2.4,60833.0,0.68,48.84 +97528,Japan,2001,Zika,Infectious,4.88,11.21,2.14,19-35,Female,862396,50.89,1.94,2.27,Medication,17908.0,Yes,73.77,4965.0,8.04,52387.0,0.64,20.04 +97549,UK,2009,Parkinson's Disease,Genetic,12.82,12.91,2.47,0-18,Female,948501,61.26,2.19,8.52,Medication,49528.0,Yes,54.3,2400.0,3.09,90395.0,0.5,45.12 +97558,Japan,2011,Cancer,Viral,14.61,14.41,1.35,61+,Female,464995,82.55,2.96,7.07,Vaccination,10020.0,No,71.78,17.0,3.33,3616.0,0.8,22.94 +97563,Italy,2011,Rabies,Genetic,9.24,11.29,0.59,19-35,Other,20175,77.06,2.65,5.93,Vaccination,3213.0,Yes,51.82,3784.0,8.54,4103.0,0.59,87.58 +97564,Saudi Arabia,2001,Measles,Infectious,15.78,10.07,9.37,19-35,Other,64175,75.41,4.57,6.46,Vaccination,46707.0,Yes,68.58,748.0,5.13,1027.0,0.83,26.71 +97565,Mexico,2011,Cancer,Neurological,11.62,5.12,2.49,36-60,Female,717653,93.5,2.34,2.98,Vaccination,44618.0,Yes,58.87,2616.0,4.74,926.0,0.67,24.11 +97571,USA,2007,Dengue,Parasitic,12.74,7.7,9.02,0-18,Other,30822,86.58,4.18,6.98,Medication,4509.0,No,98.87,3229.0,9.82,73887.0,0.73,88.47 +97575,South Korea,2011,Zika,Autoimmune,9.75,0.33,5.3,36-60,Other,768253,68.96,2.5,2.47,Surgery,48308.0,Yes,94.34,3086.0,3.2,83192.0,0.59,66.09 +97581,Turkey,2022,Leprosy,Cardiovascular,4.87,1.68,8.67,19-35,Female,102286,81.38,4.78,7.44,Therapy,16730.0,Yes,55.42,309.0,1.78,25680.0,0.86,86.75 +97598,Japan,2008,Polio,Autoimmune,17.12,10.16,9.58,19-35,Other,27823,76.68,4.74,6.69,Surgery,34453.0,Yes,96.44,4292.0,6.64,67654.0,0.63,28.8 +97603,Indonesia,2006,Influenza,Parasitic,12.84,0.46,0.97,61+,Female,39141,71.21,2.6,9.0,Medication,9219.0,Yes,86.98,4321.0,8.54,10643.0,0.7,63.05 +97604,Russia,2016,HIV/AIDS,Autoimmune,14.3,7.74,6.06,19-35,Female,167787,88.15,1.69,8.85,Surgery,22065.0,No,90.44,1480.0,0.18,12703.0,0.89,25.94 +97606,Germany,2008,Cancer,Bacterial,6.09,8.97,0.42,36-60,Female,754615,64.3,2.0,4.96,Vaccination,37028.0,No,73.71,3136.0,7.28,27230.0,0.78,24.33 +97609,Saudi Arabia,2003,Hepatitis,Genetic,12.38,10.9,2.22,36-60,Other,441166,94.47,1.49,4.79,Vaccination,42064.0,No,90.08,846.0,1.57,49521.0,0.77,38.56 +97614,India,2009,Parkinson's Disease,Cardiovascular,4.46,14.52,7.94,36-60,Other,560434,64.7,2.58,0.62,Vaccination,28663.0,Yes,69.23,4177.0,2.8,23275.0,0.53,59.85 +97618,Saudi Arabia,2006,Measles,Neurological,18.52,7.48,0.6,61+,Male,789037,57.22,4.69,1.98,Medication,42546.0,No,61.14,4329.0,6.64,87103.0,0.6,36.06 +97620,Australia,2009,Ebola,Neurological,2.98,10.37,5.11,0-18,Male,977731,93.13,4.24,1.08,Therapy,10880.0,No,91.08,4065.0,1.44,38959.0,0.46,81.2 +97622,Russia,2004,Hepatitis,Chronic,14.74,9.54,7.43,61+,Female,703708,62.24,3.05,2.22,Surgery,31140.0,No,79.13,1695.0,8.64,19134.0,0.59,87.98 +97627,France,2019,Dengue,Bacterial,3.81,0.48,8.41,61+,Male,844426,67.98,2.65,7.04,Surgery,22350.0,Yes,96.51,7.0,3.52,66972.0,0.89,46.46 +97638,Japan,2011,Hypertension,Neurological,18.56,5.43,0.12,61+,Other,296317,64.32,1.32,4.4,Medication,7599.0,No,54.49,2504.0,1.88,70517.0,0.55,24.61 +97641,USA,2014,Leprosy,Respiratory,3.32,3.81,8.54,19-35,Female,397100,63.35,2.74,9.37,Vaccination,44239.0,Yes,71.98,3291.0,4.74,7215.0,0.52,34.43 +97645,UK,2015,Hypertension,Neurological,8.51,8.55,7.95,61+,Male,435316,89.47,4.1,7.43,Therapy,4733.0,No,94.94,3444.0,6.7,34147.0,0.58,46.05 +97656,South Korea,2003,HIV/AIDS,Autoimmune,3.22,11.99,9.73,19-35,Female,673545,99.8,3.86,5.09,Medication,34620.0,No,76.22,2043.0,5.24,40001.0,0.6,66.65 +97662,Brazil,2023,Tuberculosis,Cardiovascular,5.72,0.42,7.49,36-60,Other,45815,57.57,2.92,2.66,Vaccination,42305.0,No,85.4,2978.0,5.0,41203.0,0.64,69.94 +97674,Italy,2014,Hypertension,Neurological,0.39,10.19,8.49,61+,Male,486167,93.15,1.44,3.08,Vaccination,6431.0,No,60.81,656.0,1.88,69679.0,0.5,60.0 +97685,Nigeria,2004,Zika,Genetic,11.14,0.38,1.0,36-60,Other,609944,86.91,4.27,3.49,Surgery,45291.0,Yes,70.54,1153.0,6.9,34316.0,0.51,81.24 +97686,Saudi Arabia,2000,Zika,Chronic,4.31,3.44,5.04,36-60,Female,194535,56.73,0.78,6.08,Therapy,6858.0,No,79.61,3469.0,3.28,22599.0,0.67,35.72 +97692,UK,2005,Polio,Respiratory,12.14,8.16,9.19,36-60,Male,860920,68.49,2.88,4.75,Medication,3940.0,Yes,57.67,2863.0,6.71,83693.0,0.86,87.58 +97698,South Africa,2015,Parkinson's Disease,Neurological,12.57,5.97,5.19,61+,Other,811609,64.84,4.03,2.29,Medication,963.0,No,98.73,2404.0,4.4,22365.0,0.62,29.17 +97700,South Africa,2007,Asthma,Parasitic,8.2,10.66,6.42,36-60,Other,387419,76.39,4.93,5.82,Medication,49591.0,No,78.85,3512.0,8.56,31075.0,0.61,71.58 +97711,Nigeria,2004,COVID-19,Infectious,19.59,12.34,5.1,61+,Other,134119,74.81,3.26,9.72,Surgery,5537.0,Yes,58.87,4856.0,9.52,81353.0,0.77,66.1 +97712,China,2001,Cholera,Cardiovascular,1.04,2.98,9.03,0-18,Other,785646,51.2,3.38,1.13,Surgery,22861.0,Yes,58.16,3607.0,1.86,31689.0,0.89,43.05 +97714,UK,2010,Diabetes,Genetic,7.25,10.44,5.95,19-35,Other,991542,71.58,1.41,3.63,Surgery,48077.0,No,76.19,290.0,5.35,38899.0,0.9,25.3 +97715,Australia,2017,Zika,Cardiovascular,19.13,0.3,8.99,36-60,Male,543473,77.83,3.11,8.17,Therapy,8749.0,No,66.93,2561.0,9.66,24234.0,0.87,87.42 +97717,China,2007,Cancer,Chronic,5.17,1.23,1.25,19-35,Female,792935,80.03,3.86,6.83,Therapy,36086.0,Yes,68.93,1854.0,6.8,32877.0,0.52,82.4 +97720,UK,2007,Tuberculosis,Respiratory,7.49,2.31,1.55,19-35,Female,486375,76.59,1.58,5.59,Medication,31774.0,Yes,71.9,1174.0,4.39,53111.0,0.84,79.0 +97728,Australia,2016,Dengue,Metabolic,4.1,6.46,8.93,36-60,Other,26710,83.73,2.47,9.91,Therapy,412.0,No,83.17,3807.0,3.02,10512.0,0.68,88.1 +97730,Australia,2008,Cancer,Autoimmune,18.53,14.0,0.66,0-18,Other,806513,96.04,4.62,8.34,Medication,30452.0,Yes,71.0,2915.0,2.55,89371.0,0.41,62.45 +97740,Germany,2007,Rabies,Parasitic,1.22,8.46,8.25,19-35,Other,278591,90.59,1.01,4.22,Surgery,22014.0,Yes,73.19,272.0,9.74,59823.0,0.82,55.49 +97747,South Korea,2009,Malaria,Infectious,5.65,6.13,0.73,61+,Male,418526,91.1,3.26,8.71,Medication,36276.0,Yes,74.35,3720.0,4.4,61558.0,0.41,22.69 +97752,Indonesia,2018,Asthma,Genetic,9.33,8.87,6.4,0-18,Female,539698,80.64,1.25,5.23,Vaccination,22901.0,Yes,52.39,2106.0,4.57,33888.0,0.63,58.43 +97766,Indonesia,2017,Cholera,Genetic,10.35,14.36,5.07,19-35,Other,922131,81.02,0.92,9.77,Therapy,29152.0,Yes,91.87,2845.0,5.36,83813.0,0.73,58.47 +97768,UK,2006,Cholera,Infectious,14.72,9.64,4.96,61+,Other,683157,85.45,1.88,5.27,Therapy,29811.0,Yes,94.49,1893.0,9.83,16114.0,0.67,84.89 +97770,Brazil,2010,Parkinson's Disease,Cardiovascular,2.12,6.5,0.67,19-35,Male,902983,92.69,0.81,9.51,Therapy,20829.0,Yes,52.91,2272.0,0.38,40506.0,0.77,79.01 +97772,France,2000,Leprosy,Respiratory,1.1,5.46,0.76,19-35,Other,146606,73.04,1.03,1.11,Medication,9796.0,No,70.77,93.0,0.76,63248.0,0.65,26.38 +97778,Italy,2012,Measles,Bacterial,6.62,0.79,5.02,0-18,Other,550701,74.76,1.34,3.86,Therapy,2107.0,No,55.66,1381.0,8.1,96261.0,0.85,43.73 +97786,Germany,2008,Tuberculosis,Infectious,12.63,1.12,1.69,61+,Other,588275,99.71,2.88,8.83,Vaccination,39444.0,No,85.08,4399.0,2.96,93817.0,0.47,69.03 +97793,Turkey,2004,Zika,Chronic,3.63,14.52,3.55,19-35,Other,889993,62.62,2.7,3.15,Medication,22059.0,No,97.5,4235.0,6.35,92478.0,0.79,70.72 +97805,France,2013,Malaria,Viral,16.56,8.91,3.54,36-60,Other,56094,73.63,2.43,9.7,Therapy,36067.0,No,61.8,1486.0,7.84,97429.0,0.7,53.03 +97814,Saudi Arabia,2004,Dengue,Genetic,5.07,11.23,0.99,0-18,Female,317275,89.45,4.44,8.55,Surgery,46775.0,Yes,94.74,1059.0,4.74,31287.0,0.83,33.55 +97815,South Africa,2011,Cancer,Infectious,5.95,4.54,7.38,19-35,Other,183841,69.27,2.27,8.03,Therapy,48505.0,No,78.48,1478.0,2.98,89002.0,0.43,67.89 +97820,South Korea,2015,Alzheimer's Disease,Respiratory,19.83,12.37,5.0,36-60,Female,816959,99.04,4.86,3.96,Therapy,36504.0,Yes,51.92,3046.0,1.02,46046.0,0.75,86.96 +97826,Argentina,2022,Hepatitis,Metabolic,6.8,8.74,5.55,61+,Female,337045,67.81,2.32,3.93,Surgery,49293.0,No,64.76,3541.0,0.87,11477.0,0.67,53.64 +97832,USA,2015,Ebola,Chronic,6.84,12.55,0.31,36-60,Other,162552,88.09,2.6,1.66,Medication,40109.0,No,69.64,3118.0,1.05,29301.0,0.45,37.63 +97833,South Africa,2017,HIV/AIDS,Metabolic,1.25,6.31,6.9,36-60,Other,361740,87.19,2.24,8.08,Medication,2907.0,Yes,93.79,4679.0,2.41,94551.0,0.73,88.33 +97842,USA,2020,Zika,Infectious,18.2,6.82,9.18,19-35,Male,370901,68.09,4.86,4.03,Therapy,29398.0,Yes,52.3,2252.0,0.29,15041.0,0.89,76.04 +97847,Russia,2009,Hepatitis,Bacterial,2.7,14.9,1.79,36-60,Female,882222,84.52,4.98,4.99,Surgery,10921.0,No,86.39,2318.0,9.83,30823.0,0.44,48.38 +97849,Russia,2001,Cholera,Infectious,18.91,7.91,0.45,61+,Female,220662,78.82,3.3,1.95,Therapy,43038.0,Yes,74.28,1288.0,9.31,79845.0,0.64,49.86 +97850,UK,2019,Hepatitis,Viral,7.74,3.18,8.48,19-35,Female,272818,83.8,2.45,4.89,Medication,28070.0,Yes,72.01,2365.0,6.48,50942.0,0.69,51.01 +97852,Saudi Arabia,2017,Ebola,Bacterial,1.92,3.15,6.99,19-35,Female,731365,62.36,1.71,2.83,Vaccination,19489.0,Yes,54.88,2373.0,8.22,88865.0,0.75,50.99 +97853,Italy,2009,HIV/AIDS,Genetic,12.92,0.27,5.1,19-35,Other,20883,96.57,0.61,7.73,Surgery,14030.0,Yes,70.37,2403.0,4.29,86517.0,0.79,29.71 +97857,Indonesia,2015,Measles,Autoimmune,14.87,6.94,9.38,61+,Female,719809,56.64,1.35,1.44,Therapy,30494.0,No,65.54,2301.0,8.24,13598.0,0.75,52.72 +97862,Indonesia,2017,Diabetes,Infectious,17.96,6.25,2.33,19-35,Other,593068,88.17,4.27,0.72,Medication,36150.0,No,60.13,1505.0,6.27,42458.0,0.49,51.24 +97863,India,2015,COVID-19,Metabolic,19.1,9.68,9.76,19-35,Male,9309,76.93,4.58,3.61,Medication,16185.0,No,65.07,3323.0,2.93,29823.0,0.81,54.3 +97873,Germany,2018,Measles,Infectious,19.36,14.58,3.41,36-60,Male,435120,79.09,0.78,9.25,Medication,16065.0,No,90.57,4356.0,1.66,97803.0,0.41,25.73 +97878,India,2012,Parkinson's Disease,Chronic,13.97,12.1,6.86,36-60,Male,666049,80.74,3.71,5.09,Vaccination,22749.0,Yes,53.68,3800.0,3.38,61027.0,0.53,52.57 +97881,Mexico,2018,Malaria,Genetic,14.14,9.22,3.69,61+,Other,494458,78.84,3.23,4.16,Surgery,34052.0,No,62.13,3587.0,4.11,69816.0,0.85,67.46 +97891,South Africa,2021,Leprosy,Bacterial,5.35,6.32,6.08,0-18,Female,108394,51.33,2.1,5.91,Surgery,41832.0,Yes,58.93,3096.0,9.25,21413.0,0.74,29.49 +97894,South Africa,2000,Diabetes,Metabolic,0.69,7.3,4.45,19-35,Male,634227,69.91,4.0,2.75,Vaccination,44057.0,Yes,84.44,1030.0,4.22,46624.0,0.77,57.43 +97901,South Africa,2024,Parkinson's Disease,Bacterial,19.35,9.65,8.97,61+,Other,190394,81.9,1.45,8.16,Therapy,46361.0,No,69.13,4702.0,6.75,56908.0,0.5,56.54 +97904,South Korea,2000,Polio,Parasitic,16.24,10.96,7.13,61+,Female,776150,52.43,3.64,0.63,Vaccination,44032.0,Yes,89.43,89.0,0.02,16313.0,0.83,22.84 +97907,Argentina,2014,Alzheimer's Disease,Infectious,11.89,13.07,6.67,61+,Female,816929,99.57,2.04,5.75,Surgery,35108.0,Yes,90.27,1303.0,5.36,92342.0,0.5,47.42 +97918,China,2012,Diabetes,Autoimmune,12.7,1.96,9.68,0-18,Other,95752,83.0,3.09,2.43,Vaccination,49105.0,Yes,71.39,4329.0,8.69,1247.0,0.79,62.33 +97924,Germany,2002,Tuberculosis,Viral,17.82,4.74,3.9,19-35,Female,496559,80.06,0.51,4.34,Surgery,42424.0,No,90.35,2823.0,4.12,55314.0,0.49,77.03 +97932,Nigeria,2008,Rabies,Infectious,15.88,3.45,4.66,61+,Other,654654,79.97,3.9,4.59,Surgery,42902.0,Yes,72.55,4062.0,8.57,33474.0,0.43,24.7 +97937,France,2012,Hypertension,Metabolic,3.12,8.17,0.84,0-18,Other,39724,61.47,3.26,1.59,Medication,4153.0,Yes,90.53,1871.0,5.87,33108.0,0.84,25.71 +97939,Brazil,2024,Measles,Autoimmune,0.56,7.75,4.49,0-18,Male,575831,78.9,0.79,7.64,Vaccination,14976.0,Yes,70.55,593.0,2.5,7146.0,0.86,85.17 +97948,Indonesia,2021,Malaria,Viral,1.98,4.74,5.54,19-35,Other,964893,97.42,4.65,4.61,Therapy,16876.0,No,56.32,2830.0,4.72,77946.0,0.74,62.65 +97954,Canada,2023,Malaria,Cardiovascular,13.85,11.05,5.25,0-18,Other,474267,94.2,1.64,4.29,Vaccination,48896.0,Yes,93.98,4603.0,5.46,24769.0,0.76,23.61 +97955,Japan,2003,Asthma,Bacterial,7.49,12.42,1.85,61+,Female,533068,90.99,2.18,4.57,Medication,14606.0,No,76.46,4552.0,1.15,98329.0,0.88,48.29 +97968,Russia,2001,Measles,Respiratory,4.34,12.21,5.68,36-60,Female,786344,89.76,1.59,4.59,Surgery,4356.0,No,87.89,2295.0,6.45,46491.0,0.89,73.53 +97985,France,2024,HIV/AIDS,Autoimmune,10.78,12.62,3.67,36-60,Other,722694,54.37,2.69,3.11,Therapy,24880.0,No,91.25,1725.0,0.74,13502.0,0.84,59.67 +97987,China,2014,Cancer,Cardiovascular,12.02,7.77,7.31,36-60,Other,687345,63.18,3.39,4.0,Surgery,47622.0,No,63.24,1316.0,6.21,76602.0,0.69,81.03 +97988,Italy,2019,Parkinson's Disease,Parasitic,12.88,7.59,8.8,0-18,Female,515869,50.83,0.81,3.12,Therapy,43372.0,Yes,70.56,3458.0,3.67,59107.0,0.5,47.53 +97991,India,2009,Hypertension,Bacterial,18.25,2.54,8.14,61+,Other,858677,96.17,0.67,2.58,Medication,16799.0,Yes,66.72,1332.0,6.43,31205.0,0.54,61.19 +97994,UK,2018,Hypertension,Autoimmune,10.25,2.97,0.21,36-60,Female,664496,58.36,2.24,8.08,Surgery,40469.0,No,83.72,3188.0,3.84,84455.0,0.68,80.36 +97997,Indonesia,2007,Diabetes,Bacterial,16.48,3.05,8.46,36-60,Male,899971,96.88,0.93,1.79,Medication,19540.0,No,65.23,4158.0,3.42,28284.0,0.54,73.71 +98003,USA,2024,Polio,Respiratory,17.1,5.46,5.51,36-60,Male,994000,87.12,2.85,6.58,Therapy,8469.0,No,83.69,743.0,6.06,7375.0,0.73,75.94 +98011,Italy,2002,Parkinson's Disease,Neurological,14.14,3.15,7.85,61+,Female,940075,90.76,1.81,9.38,Surgery,18450.0,Yes,70.31,2375.0,2.42,24007.0,0.63,38.63 +98015,Brazil,2001,Hypertension,Infectious,13.32,3.12,9.14,61+,Male,908646,71.91,2.09,8.4,Surgery,27464.0,Yes,97.87,712.0,8.36,94595.0,0.45,63.4 +98018,UK,2007,Influenza,Chronic,10.31,11.0,9.98,61+,Female,662668,96.54,2.49,2.23,Vaccination,12881.0,No,77.65,1866.0,9.94,33090.0,0.44,21.35 +98030,Germany,2020,Measles,Infectious,10.54,4.59,0.59,19-35,Other,431221,66.7,3.18,6.95,Therapy,22328.0,No,87.41,4851.0,4.35,69335.0,0.79,78.11 +98033,India,2021,Dengue,Autoimmune,0.18,9.58,8.33,61+,Male,79514,79.65,2.08,7.05,Vaccination,5845.0,Yes,71.84,4905.0,0.56,30345.0,0.73,34.3 +98050,Argentina,2017,Rabies,Metabolic,9.91,9.16,4.1,61+,Male,514891,90.93,4.98,6.78,Surgery,31988.0,No,70.07,73.0,3.44,90866.0,0.53,53.17 +98058,Japan,2014,Influenza,Autoimmune,12.99,2.73,2.98,36-60,Other,81531,96.5,2.12,3.48,Medication,13618.0,No,65.39,942.0,5.17,73099.0,0.77,79.3 +98059,UK,2001,Leprosy,Metabolic,2.95,9.6,6.8,36-60,Other,865129,60.89,4.89,9.67,Medication,3728.0,No,69.26,2048.0,0.69,33324.0,0.8,66.21 +98060,Saudi Arabia,2008,Hepatitis,Neurological,9.48,5.23,3.72,19-35,Male,923385,61.84,4.91,1.15,Medication,13539.0,Yes,68.55,1188.0,1.75,25168.0,0.65,73.61 +98070,South Africa,2022,COVID-19,Autoimmune,14.4,1.23,9.69,36-60,Female,900793,55.92,4.95,6.84,Therapy,3822.0,Yes,61.34,735.0,3.85,97454.0,0.59,71.5 +98074,Italy,2024,COVID-19,Cardiovascular,13.94,4.97,4.77,19-35,Female,182900,81.53,3.09,9.51,Medication,28839.0,No,96.85,3150.0,1.12,19878.0,0.63,22.61 +98076,France,2022,Polio,Viral,5.62,2.28,9.53,61+,Other,352153,69.31,1.1,9.58,Therapy,42824.0,No,54.92,1677.0,1.26,26816.0,0.89,49.03 +98084,India,2012,Ebola,Genetic,9.91,13.94,3.04,61+,Other,861009,92.61,4.73,6.96,Vaccination,48179.0,Yes,80.4,4649.0,5.85,28582.0,0.78,36.09 +98087,Nigeria,2022,Cancer,Metabolic,12.58,12.85,2.83,36-60,Male,754059,79.76,3.69,2.65,Medication,21810.0,Yes,61.65,3784.0,9.64,32238.0,0.54,36.96 +98090,UK,2012,Dengue,Parasitic,13.61,12.37,4.65,61+,Male,706804,85.34,0.82,4.24,Therapy,26618.0,No,54.32,3839.0,4.23,79924.0,0.67,69.56 +98094,South Africa,2000,Zika,Metabolic,16.0,12.51,6.19,36-60,Other,423764,51.72,0.67,3.06,Surgery,16333.0,No,89.92,4834.0,9.65,36561.0,0.41,58.35 +98097,Nigeria,2007,Cholera,Chronic,11.11,9.26,4.97,36-60,Other,815871,74.77,3.19,6.96,Vaccination,39897.0,Yes,84.98,2042.0,5.48,3722.0,0.55,69.76 +98102,Germany,2000,Leprosy,Cardiovascular,10.97,5.9,0.93,0-18,Female,535951,68.71,1.72,7.82,Surgery,22636.0,No,84.69,4384.0,5.0,7659.0,0.4,25.18 +98108,India,2019,Diabetes,Autoimmune,18.99,14.22,6.55,36-60,Female,917076,50.29,3.99,1.07,Surgery,16640.0,No,93.92,3335.0,5.52,49981.0,0.6,52.56 +98112,Italy,2007,Rabies,Parasitic,16.87,5.09,3.37,61+,Female,562870,64.53,4.51,1.31,Vaccination,12163.0,Yes,79.33,4486.0,3.55,57860.0,0.78,47.46 +98131,South Korea,2010,Measles,Parasitic,15.51,4.62,8.27,19-35,Male,298113,57.91,4.9,5.07,Surgery,20809.0,Yes,59.95,2761.0,5.12,81302.0,0.86,24.94 +98133,Russia,2014,Ebola,Viral,12.03,5.33,6.16,0-18,Female,852418,82.43,3.38,8.09,Therapy,37468.0,No,93.27,4262.0,8.01,84190.0,0.55,45.83 +98136,Turkey,2008,Asthma,Parasitic,15.31,10.95,9.7,19-35,Female,550975,55.24,1.27,8.34,Medication,32000.0,Yes,61.07,3.0,5.4,29898.0,0.55,20.62 +98143,Mexico,2020,Tuberculosis,Respiratory,11.5,3.22,5.81,61+,Female,400524,81.2,3.66,2.52,Vaccination,35247.0,Yes,98.11,2683.0,5.92,34183.0,0.59,40.52 +98146,Mexico,2018,Parkinson's Disease,Chronic,6.36,5.43,6.86,36-60,Female,165027,59.53,1.98,2.12,Surgery,35362.0,Yes,73.28,3494.0,4.09,57797.0,0.9,24.01 +98148,Japan,2021,COVID-19,Infectious,9.38,5.17,6.87,61+,Male,29005,63.32,1.68,3.91,Medication,16720.0,Yes,56.42,3508.0,7.57,47764.0,0.6,61.85 +98150,Brazil,2018,Influenza,Parasitic,3.41,4.04,3.95,19-35,Other,132794,81.71,3.09,9.18,Surgery,21185.0,No,53.51,4389.0,6.41,37838.0,0.46,34.59 +98151,USA,2018,Cancer,Bacterial,2.86,14.76,7.85,61+,Other,878015,68.02,4.84,6.74,Surgery,11621.0,Yes,85.51,203.0,8.37,8742.0,0.6,22.58 +98152,Germany,2003,Cancer,Metabolic,2.02,1.31,6.1,36-60,Male,345772,80.95,2.71,5.03,Therapy,11899.0,Yes,76.74,2401.0,5.67,95771.0,0.86,65.02 +98153,Japan,2014,HIV/AIDS,Chronic,12.47,9.83,8.26,36-60,Other,114984,67.56,2.26,6.66,Therapy,47822.0,No,86.76,2769.0,7.92,50985.0,0.65,38.91 +98161,Turkey,2006,Polio,Respiratory,19.4,10.83,8.32,19-35,Male,908910,84.8,2.77,6.19,Surgery,15495.0,No,65.2,2820.0,4.27,97887.0,0.52,86.99 +98168,Germany,2019,Cancer,Respiratory,19.7,3.41,1.12,61+,Other,670145,99.47,3.38,1.45,Vaccination,31581.0,Yes,90.77,1591.0,6.94,76664.0,0.5,86.04 +98173,USA,2011,Parkinson's Disease,Neurological,3.38,1.74,6.38,36-60,Other,496697,59.08,1.74,3.68,Therapy,10334.0,No,77.18,3533.0,9.37,30418.0,0.44,66.13 +98179,France,2015,Dengue,Respiratory,1.45,7.06,3.11,61+,Female,392664,74.67,3.39,9.56,Therapy,44570.0,Yes,79.51,869.0,5.93,68501.0,0.87,45.5 +98180,USA,2012,Leprosy,Autoimmune,11.48,1.52,7.31,36-60,Female,554083,61.24,1.35,9.3,Therapy,6077.0,Yes,80.81,2941.0,0.01,21087.0,0.53,80.2 +98181,Saudi Arabia,2004,Cancer,Autoimmune,13.74,10.62,8.03,19-35,Male,389824,99.3,1.17,1.13,Medication,37921.0,Yes,92.28,4974.0,2.57,53952.0,0.77,89.48 +98187,South Korea,2013,Cholera,Cardiovascular,11.14,6.23,3.42,19-35,Male,874492,50.79,3.04,8.31,Surgery,4044.0,No,88.65,378.0,2.69,62969.0,0.86,25.46 +98188,France,2018,Rabies,Genetic,5.35,12.41,5.65,0-18,Other,821908,61.73,3.27,7.57,Therapy,15989.0,Yes,67.25,876.0,0.57,88674.0,0.48,68.86 +98189,South Africa,2013,HIV/AIDS,Autoimmune,4.19,1.02,3.27,36-60,Other,30583,95.99,0.58,4.86,Therapy,44195.0,Yes,65.21,4234.0,5.01,65725.0,0.66,53.43 +98193,Indonesia,2012,Cancer,Genetic,19.87,12.99,9.26,0-18,Female,577956,94.29,3.78,4.5,Therapy,12244.0,No,58.48,4736.0,4.08,47668.0,0.55,83.15 +98196,Mexico,2022,Hepatitis,Chronic,5.64,8.64,2.85,19-35,Male,914242,85.84,2.19,5.07,Therapy,1063.0,Yes,59.99,2716.0,5.08,58434.0,0.45,22.39 +98204,South Korea,2011,Parkinson's Disease,Neurological,6.82,2.35,2.27,0-18,Other,854839,94.91,2.73,2.13,Therapy,47145.0,Yes,50.45,1177.0,0.88,33340.0,0.51,84.2 +98206,Italy,2014,Cholera,Genetic,1.93,8.62,5.14,36-60,Other,792762,71.77,4.57,3.03,Medication,6390.0,Yes,53.56,3605.0,9.25,32196.0,0.47,82.59 +98214,Canada,2006,Rabies,Genetic,18.94,14.6,4.79,0-18,Male,456313,96.6,4.29,5.32,Medication,43613.0,No,78.23,2536.0,3.64,14204.0,0.65,79.5 +98217,Mexico,2003,Ebola,Chronic,15.05,1.37,9.07,61+,Female,878713,95.17,1.6,3.75,Medication,5778.0,Yes,74.07,3288.0,7.62,90762.0,0.67,72.05 +98219,Saudi Arabia,2017,HIV/AIDS,Neurological,7.07,5.1,8.55,61+,Male,100307,67.05,2.47,9.77,Medication,19312.0,Yes,61.52,2606.0,4.51,96556.0,0.69,58.0 +98224,Germany,2002,Diabetes,Viral,10.41,12.15,4.93,61+,Female,641398,63.21,1.17,9.61,Medication,14306.0,No,98.49,436.0,2.12,42684.0,0.57,25.33 +98227,Brazil,2020,Malaria,Infectious,17.55,8.46,1.51,36-60,Female,328674,54.13,4.08,0.73,Therapy,19077.0,No,76.48,718.0,6.03,4096.0,0.78,43.92 +98230,Argentina,2022,Hepatitis,Viral,19.72,6.35,7.5,36-60,Male,221234,65.49,1.1,9.19,Vaccination,11198.0,Yes,84.74,2406.0,6.53,81638.0,0.76,48.0 +98234,Mexico,2023,Hepatitis,Infectious,8.27,3.41,7.31,36-60,Male,729006,63.72,4.93,4.19,Surgery,41270.0,No,64.19,94.0,0.64,26062.0,0.52,41.31 +98239,Italy,2024,Asthma,Respiratory,10.79,5.77,9.19,0-18,Female,38909,74.97,3.95,3.28,Surgery,1744.0,No,97.61,885.0,3.3,96044.0,0.71,77.49 +98243,Nigeria,2022,Cholera,Viral,4.09,5.37,2.64,61+,Male,932243,82.82,4.82,4.99,Surgery,46240.0,Yes,64.53,149.0,8.25,42322.0,0.84,21.46 +98249,Australia,2012,Cancer,Cardiovascular,10.75,13.39,0.99,19-35,Female,313763,54.87,3.6,6.51,Medication,2995.0,Yes,80.13,4473.0,2.47,26820.0,0.7,75.92 +98267,Russia,2016,Rabies,Respiratory,13.1,7.02,8.43,19-35,Male,205649,51.81,2.43,8.14,Therapy,18399.0,No,78.71,3350.0,7.03,41039.0,0.66,32.55 +98270,South Korea,2000,Measles,Bacterial,7.45,2.77,2.93,61+,Female,881819,76.44,4.74,3.75,Vaccination,15783.0,Yes,92.36,4458.0,2.07,31935.0,0.88,37.7 +98272,India,2024,Influenza,Viral,6.63,2.31,6.17,0-18,Female,331885,71.08,3.72,2.84,Therapy,45493.0,Yes,66.67,983.0,4.44,93639.0,0.45,33.61 +98273,Argentina,2012,Influenza,Metabolic,12.26,7.65,1.69,61+,Female,925508,82.25,0.71,7.79,Vaccination,8118.0,No,50.05,2956.0,0.33,21431.0,0.55,70.65 +98282,Brazil,2013,Measles,Bacterial,1.24,3.17,7.76,61+,Male,757001,71.31,1.01,10.0,Medication,35813.0,Yes,93.19,4113.0,9.36,30307.0,0.55,50.26 +98286,South Africa,2024,COVID-19,Infectious,19.83,11.76,2.44,36-60,Other,781005,73.09,1.52,0.88,Therapy,39907.0,Yes,89.12,235.0,6.14,43489.0,0.78,83.84 +98287,USA,2013,Tuberculosis,Autoimmune,9.53,12.44,6.04,36-60,Female,572418,80.66,3.05,7.22,Therapy,49688.0,No,74.42,4744.0,6.47,92961.0,0.72,24.8 +98289,USA,2006,Leprosy,Chronic,9.62,6.77,1.15,61+,Other,370457,66.77,1.52,1.23,Medication,5644.0,Yes,85.59,4323.0,9.99,3375.0,0.72,78.25 +98290,Canada,2018,Tuberculosis,Autoimmune,0.64,5.58,9.27,36-60,Other,529082,75.94,4.41,2.63,Therapy,41899.0,No,71.39,2094.0,6.0,8478.0,0.53,49.21 +98295,Nigeria,2013,Dengue,Parasitic,9.92,13.81,9.67,19-35,Female,506824,53.08,1.85,6.2,Surgery,38080.0,Yes,69.85,1116.0,5.51,11685.0,0.83,44.83 +98311,France,2007,Cancer,Chronic,1.57,7.62,8.11,61+,Other,768457,67.64,3.85,8.71,Medication,15203.0,Yes,81.36,2575.0,1.01,82867.0,0.84,50.52 +98312,Canada,2017,Rabies,Viral,12.58,12.29,7.03,0-18,Male,350916,89.67,4.73,9.69,Therapy,45903.0,Yes,56.27,2551.0,3.67,27364.0,0.43,42.79 +98315,UK,2018,Influenza,Cardiovascular,6.69,3.97,1.99,0-18,Female,695618,65.95,1.66,3.84,Medication,24041.0,No,87.69,3754.0,5.67,56023.0,0.73,48.6 +98319,Saudi Arabia,2008,Tuberculosis,Viral,3.56,11.18,4.79,61+,Female,964744,66.84,3.65,2.19,Vaccination,47474.0,Yes,76.25,867.0,2.03,92295.0,0.7,35.87 +98334,Italy,2009,Influenza,Viral,17.16,9.62,5.75,61+,Other,545990,83.06,2.27,9.51,Medication,4681.0,Yes,57.64,3724.0,2.8,3278.0,0.54,20.99 +98341,Russia,2003,Rabies,Neurological,16.76,8.79,4.67,0-18,Male,515575,78.71,3.73,9.34,Surgery,14063.0,Yes,82.96,2622.0,0.29,39659.0,0.67,26.73 +98344,India,2021,Leprosy,Autoimmune,19.32,12.66,5.31,36-60,Other,351170,52.33,3.99,1.77,Vaccination,8028.0,No,93.45,114.0,6.74,46590.0,0.83,70.18 +98346,Australia,2024,Cancer,Chronic,14.46,11.02,1.04,61+,Male,83638,97.08,1.99,6.86,Surgery,45934.0,Yes,96.27,4719.0,5.4,36093.0,0.45,85.48 +98349,Japan,2022,HIV/AIDS,Genetic,7.14,7.04,8.6,61+,Male,664923,79.88,0.75,2.67,Vaccination,9246.0,No,93.07,3119.0,9.8,2867.0,0.82,55.42 +98359,Nigeria,2000,Ebola,Chronic,12.07,6.61,5.16,19-35,Male,340913,53.99,4.92,0.73,Vaccination,1661.0,No,93.26,2474.0,2.39,12942.0,0.89,82.5 +98363,Canada,2015,Cholera,Viral,17.91,10.89,6.1,0-18,Other,286494,87.65,3.57,8.47,Vaccination,7794.0,Yes,70.37,1584.0,3.9,58322.0,0.69,73.88 +98364,UK,2001,Alzheimer's Disease,Neurological,16.83,2.89,3.67,61+,Female,914721,77.0,1.92,6.13,Medication,43373.0,No,66.74,3314.0,7.47,15187.0,0.74,85.66 +98365,Brazil,2015,COVID-19,Viral,18.35,11.84,3.33,36-60,Female,174589,57.72,3.49,7.03,Medication,44642.0,No,87.97,4047.0,8.92,36339.0,0.69,78.77 +98369,Italy,2008,Malaria,Genetic,17.67,8.5,5.27,0-18,Male,192792,50.07,0.76,1.89,Surgery,42012.0,Yes,70.96,1304.0,7.66,48904.0,0.43,80.22 +98375,Saudi Arabia,2016,Zika,Neurological,6.45,13.53,0.5,36-60,Other,399479,86.26,4.13,0.97,Therapy,34985.0,Yes,74.87,168.0,4.48,44569.0,0.52,73.07 +98378,Australia,2019,Ebola,Metabolic,19.34,10.54,3.35,61+,Other,833930,72.28,0.7,6.25,Vaccination,20524.0,Yes,52.82,451.0,1.99,87743.0,0.56,80.39 +98382,Australia,2012,Hypertension,Bacterial,14.08,7.96,9.2,0-18,Female,259400,62.99,4.37,3.58,Vaccination,32410.0,No,87.75,1984.0,0.61,57418.0,0.48,60.39 +98386,Argentina,2013,Hypertension,Autoimmune,3.97,1.8,2.37,36-60,Male,101808,95.23,4.68,4.08,Surgery,47525.0,No,76.55,2974.0,6.36,10339.0,0.62,81.49 +98388,South Africa,2019,Rabies,Metabolic,1.75,10.69,9.06,19-35,Female,804178,89.68,2.53,9.0,Vaccination,11289.0,Yes,91.21,3839.0,3.33,37855.0,0.69,30.76 +98393,Japan,2023,Hepatitis,Neurological,12.21,12.26,1.19,61+,Male,557797,58.4,1.56,6.23,Medication,29159.0,Yes,82.01,2276.0,1.62,92732.0,0.68,84.09 +98397,Australia,2011,Ebola,Respiratory,1.9,11.5,5.96,0-18,Female,672510,62.56,2.74,2.19,Therapy,12700.0,No,60.22,2302.0,5.59,98323.0,0.53,50.69 +98400,Turkey,2022,Cholera,Chronic,18.95,12.38,4.7,0-18,Other,582939,74.14,2.55,0.92,Surgery,29047.0,No,93.7,62.0,9.87,75150.0,0.63,33.27 +98401,Japan,2018,Diabetes,Respiratory,0.2,14.94,2.46,19-35,Male,578923,82.13,4.86,7.79,Medication,20432.0,Yes,81.43,1276.0,2.02,58661.0,0.4,74.03 +98402,Turkey,2009,Hypertension,Metabolic,6.59,4.22,7.34,61+,Male,204814,60.06,2.9,8.6,Medication,5108.0,Yes,75.03,4386.0,8.41,23390.0,0.64,30.27 +98406,Brazil,2021,Alzheimer's Disease,Infectious,8.2,8.66,7.05,19-35,Other,324430,88.28,2.37,2.84,Vaccination,29902.0,No,97.64,4405.0,0.76,27334.0,0.86,41.58 +98415,Indonesia,2014,Dengue,Autoimmune,12.84,1.16,4.3,36-60,Female,461034,97.85,3.7,2.55,Medication,17019.0,Yes,80.82,1529.0,8.04,12790.0,0.79,86.54 +98416,Brazil,2020,Zika,Bacterial,10.97,1.87,2.02,61+,Female,595038,73.28,2.36,5.99,Vaccination,21560.0,No,77.85,678.0,5.95,23731.0,0.44,74.84 +98418,Russia,2008,HIV/AIDS,Autoimmune,12.12,1.73,4.87,36-60,Other,707597,64.87,4.05,4.22,Therapy,49255.0,Yes,91.08,3842.0,9.38,26813.0,0.77,51.28 +98425,Brazil,2015,Hepatitis,Viral,10.29,14.75,3.65,0-18,Other,272854,66.28,2.18,1.31,Surgery,4691.0,Yes,90.64,1769.0,6.14,65486.0,0.85,20.29 +98431,South Africa,2016,Influenza,Infectious,9.45,2.46,6.51,36-60,Other,867497,51.37,3.78,7.35,Therapy,48138.0,No,53.0,2334.0,3.94,11748.0,0.51,86.59 +98433,Australia,2017,Dengue,Viral,17.4,9.67,0.46,0-18,Male,735935,62.02,1.79,9.78,Therapy,40976.0,No,93.15,438.0,2.69,15070.0,0.7,58.63 +98435,Russia,2024,HIV/AIDS,Parasitic,7.73,13.46,0.94,19-35,Female,201392,94.89,4.32,4.16,Vaccination,17611.0,No,64.13,4708.0,0.8,32258.0,0.45,85.55 +98443,Turkey,2020,Parkinson's Disease,Bacterial,18.93,12.74,7.43,0-18,Female,995167,82.42,4.7,3.46,Vaccination,23450.0,Yes,84.21,1201.0,5.22,29564.0,0.75,56.17 +98445,South Korea,2021,Parkinson's Disease,Metabolic,4.33,10.17,4.59,19-35,Male,527022,90.04,3.57,4.83,Medication,26907.0,Yes,68.22,118.0,7.23,34497.0,0.66,35.52 +98452,UK,2017,Zika,Cardiovascular,5.4,4.29,0.25,19-35,Female,737315,93.57,3.13,8.92,Vaccination,22229.0,Yes,77.04,1120.0,9.22,16674.0,0.43,54.86 +98453,Nigeria,2019,Diabetes,Chronic,16.08,3.66,1.93,19-35,Other,486210,83.21,1.61,6.78,Therapy,46425.0,Yes,76.36,306.0,2.56,91366.0,0.45,67.93 +98454,USA,2004,Cancer,Genetic,19.32,12.69,6.36,19-35,Female,7641,82.68,2.6,1.29,Therapy,39883.0,Yes,71.66,2450.0,0.27,36694.0,0.74,59.01 +98460,India,2001,Influenza,Viral,17.35,13.33,2.65,0-18,Female,244186,70.31,1.22,2.51,Vaccination,10444.0,No,88.02,3574.0,0.22,19960.0,0.4,36.72 +98464,USA,2017,Asthma,Genetic,16.55,8.88,6.57,0-18,Female,437255,84.37,2.85,1.39,Surgery,3221.0,Yes,88.61,2395.0,8.68,90542.0,0.65,84.96 +98467,Germany,2020,Cancer,Genetic,1.84,14.79,5.39,0-18,Female,746738,50.0,3.75,8.05,Vaccination,13956.0,No,68.0,3677.0,9.45,62774.0,0.63,37.71 +98470,USA,2018,Alzheimer's Disease,Chronic,4.45,1.33,2.84,0-18,Other,946188,98.32,2.33,1.71,Vaccination,41557.0,No,79.38,1170.0,6.75,92355.0,0.64,56.4 +98475,Germany,2015,Parkinson's Disease,Neurological,19.78,6.1,3.42,61+,Female,621580,87.2,1.31,3.67,Vaccination,14046.0,Yes,76.37,3079.0,5.15,15156.0,0.85,63.89 +98482,South Korea,2009,Measles,Chronic,5.5,9.52,7.44,0-18,Male,178835,90.31,1.03,9.29,Vaccination,47796.0,No,59.46,4816.0,3.93,12901.0,0.84,66.49 +98485,Saudi Arabia,2003,Tuberculosis,Bacterial,17.44,8.61,9.01,61+,Male,111342,79.88,3.79,5.77,Surgery,29810.0,No,92.69,1449.0,8.27,84817.0,0.56,44.49 +98488,Saudi Arabia,2013,COVID-19,Genetic,10.65,8.3,0.69,61+,Male,271274,71.08,4.53,9.51,Therapy,31300.0,Yes,98.8,4284.0,1.82,47965.0,0.53,27.64 +98491,Saudi Arabia,2019,Influenza,Autoimmune,10.13,6.93,7.73,61+,Female,232388,78.24,4.56,1.58,Surgery,8959.0,Yes,68.07,3175.0,2.79,6829.0,0.61,84.75 +98497,India,2004,Parkinson's Disease,Viral,11.64,5.32,7.48,61+,Female,741240,88.95,4.39,1.54,Surgery,17744.0,Yes,92.23,2552.0,8.23,1772.0,0.42,33.03 +98500,Canada,2012,Rabies,Bacterial,12.51,0.71,9.6,19-35,Other,723896,94.6,2.63,6.29,Surgery,49779.0,No,57.12,2241.0,7.0,41514.0,0.88,89.08 +98503,Germany,2010,Malaria,Viral,18.01,12.65,1.93,0-18,Other,154243,89.16,2.07,7.99,Vaccination,32464.0,Yes,50.31,3703.0,7.31,49069.0,0.49,58.28 +98506,Argentina,2001,Malaria,Chronic,10.21,4.81,7.6,36-60,Male,145714,51.55,1.84,9.21,Surgery,46469.0,Yes,63.34,3059.0,2.26,41951.0,0.54,73.05 +98511,Nigeria,2009,Diabetes,Chronic,12.74,13.97,5.27,0-18,Other,996514,87.83,4.43,3.37,Therapy,18749.0,No,96.08,1360.0,7.68,29811.0,0.42,70.15 +98513,Turkey,2018,Polio,Cardiovascular,5.42,1.22,5.32,19-35,Female,63945,96.28,3.69,5.45,Surgery,30451.0,Yes,93.41,1713.0,7.59,13130.0,0.88,27.77 +98517,Mexico,2021,HIV/AIDS,Infectious,1.55,2.92,3.09,0-18,Male,977870,90.72,3.02,7.41,Medication,44046.0,Yes,95.29,1601.0,0.09,96901.0,0.48,69.38 +98521,Indonesia,2009,Hepatitis,Metabolic,16.37,7.32,6.82,36-60,Female,239712,99.55,0.8,4.81,Medication,37175.0,No,65.03,194.0,8.54,48405.0,0.8,88.04 +98532,USA,2004,Dengue,Metabolic,9.6,10.63,2.78,19-35,Female,865519,88.45,2.33,0.93,Surgery,47318.0,No,91.23,1647.0,1.7,17082.0,0.46,66.01 +98533,China,2012,Hypertension,Autoimmune,3.27,14.79,0.11,0-18,Male,835638,73.02,4.22,2.94,Therapy,6023.0,No,51.2,595.0,8.67,96111.0,0.7,74.27 +98540,Turkey,2002,Rabies,Viral,10.69,3.35,4.09,19-35,Male,647057,59.19,2.04,9.75,Surgery,45918.0,Yes,70.33,3538.0,0.16,2431.0,0.47,85.94 +98549,Brazil,2004,Cancer,Respiratory,7.35,8.43,7.88,19-35,Female,410154,88.43,0.85,3.31,Medication,29663.0,No,81.07,513.0,0.9,17247.0,0.66,65.96 +98557,Canada,2002,Influenza,Infectious,14.07,11.11,4.03,36-60,Male,256276,76.22,3.28,7.7,Therapy,27257.0,Yes,88.31,2982.0,7.24,42338.0,0.48,78.5 +98558,Argentina,2023,Dengue,Parasitic,17.29,13.82,1.55,19-35,Male,505041,80.6,3.37,2.95,Medication,15815.0,Yes,92.1,2935.0,0.82,25803.0,0.48,83.72 +98559,Saudi Arabia,2021,Leprosy,Genetic,7.14,11.87,3.76,0-18,Other,563264,80.45,2.08,9.75,Medication,30746.0,Yes,70.43,3566.0,9.17,54252.0,0.49,61.07 +98563,South Korea,2013,COVID-19,Neurological,3.05,4.73,8.52,36-60,Male,766582,68.13,3.89,6.32,Medication,42077.0,Yes,55.56,3083.0,0.78,63062.0,0.65,63.47 +98565,Japan,2019,Diabetes,Genetic,13.38,5.43,7.25,0-18,Other,400500,76.91,2.4,4.96,Vaccination,38337.0,Yes,91.99,1698.0,9.67,62410.0,0.47,42.94 +98566,Turkey,2006,Parkinson's Disease,Genetic,2.12,2.34,8.77,19-35,Other,141971,90.15,3.79,6.92,Medication,6162.0,No,89.11,3527.0,0.05,9939.0,0.86,77.49 +98571,India,2009,Cholera,Cardiovascular,18.48,7.25,6.4,61+,Male,717917,56.09,1.88,8.33,Surgery,31543.0,No,82.49,2402.0,7.3,56811.0,0.69,43.21 +98579,South Korea,2000,Tuberculosis,Metabolic,0.56,3.17,7.88,36-60,Female,759900,80.57,2.69,8.19,Surgery,31426.0,Yes,61.24,4816.0,6.85,63325.0,0.58,39.08 +98584,Saudi Arabia,2015,Ebola,Infectious,9.02,9.12,4.27,19-35,Male,223904,55.61,1.61,5.87,Surgery,31518.0,Yes,93.99,4057.0,0.26,90681.0,0.49,88.9 +98586,USA,2018,Measles,Parasitic,1.1,8.8,5.24,36-60,Other,755470,79.79,2.65,5.26,Vaccination,31809.0,Yes,84.27,2817.0,1.29,8198.0,0.8,88.83 +98591,Italy,2012,Hepatitis,Infectious,14.15,7.46,4.08,61+,Male,898314,87.22,4.03,6.28,Vaccination,6856.0,No,84.73,1371.0,7.12,50167.0,0.86,37.43 +98592,Russia,2021,Rabies,Chronic,6.6,8.75,1.24,36-60,Male,999962,89.91,4.64,7.42,Surgery,23784.0,No,96.54,3636.0,3.3,46415.0,0.72,30.0 +98597,South Korea,2024,Cholera,Neurological,5.54,1.07,5.02,36-60,Female,967169,89.31,4.07,3.02,Surgery,32782.0,No,58.55,2405.0,5.8,72846.0,0.77,77.72 +98612,Canada,2002,Hepatitis,Autoimmune,10.0,10.02,0.68,19-35,Male,70017,75.94,0.97,4.8,Medication,42492.0,No,53.34,3363.0,5.25,44232.0,0.67,80.71 +98614,Mexico,2018,Diabetes,Parasitic,19.78,2.44,2.36,61+,Other,179775,83.19,1.55,5.37,Therapy,43987.0,No,75.2,3750.0,5.58,62258.0,0.55,38.91 +98619,Italy,2009,Tuberculosis,Infectious,12.4,1.67,9.63,19-35,Other,471019,85.45,0.94,6.11,Vaccination,37434.0,No,73.45,3208.0,6.23,96759.0,0.62,86.06 +98620,Brazil,2004,Hypertension,Autoimmune,8.93,1.67,1.84,19-35,Other,879820,98.91,2.82,9.32,Surgery,42100.0,No,92.66,4441.0,3.76,8392.0,0.41,60.66 +98624,Germany,2007,Asthma,Neurological,6.01,6.12,7.28,61+,Male,45344,82.37,4.0,9.83,Medication,47181.0,Yes,95.89,4397.0,0.5,39275.0,0.47,32.21 +98633,Japan,2008,Ebola,Parasitic,6.44,12.84,0.12,61+,Male,722729,52.18,2.53,9.54,Therapy,26507.0,No,63.58,664.0,7.69,51400.0,0.46,47.43 +98635,Japan,2007,Cancer,Autoimmune,11.13,14.46,7.36,0-18,Female,697754,50.42,0.55,3.81,Therapy,8877.0,No,57.57,4330.0,5.72,1749.0,0.87,28.56 +98640,UK,2001,Malaria,Chronic,0.38,10.56,8.44,0-18,Other,834271,85.2,4.95,1.17,Surgery,16972.0,No,52.86,3396.0,5.06,18228.0,0.53,31.65 +98641,Canada,2007,Hypertension,Parasitic,4.09,8.7,3.6,0-18,Male,581031,89.74,1.82,5.82,Surgery,39463.0,No,83.94,1526.0,5.34,19174.0,0.5,87.66 +98644,Nigeria,2000,Asthma,Metabolic,6.48,8.3,1.52,19-35,Female,923151,96.24,2.01,5.07,Therapy,23825.0,No,80.98,2697.0,2.36,67369.0,0.4,56.2 +98647,Japan,2023,Alzheimer's Disease,Parasitic,3.39,8.89,9.13,19-35,Male,367608,70.92,4.02,8.24,Medication,7471.0,No,93.61,1336.0,1.44,85771.0,0.62,50.16 +98649,Russia,2024,Hypertension,Metabolic,6.07,10.0,0.58,0-18,Other,173756,84.31,0.63,2.64,Therapy,37787.0,Yes,58.14,1314.0,5.92,77581.0,0.57,48.85 +98652,Germany,2007,Hepatitis,Autoimmune,8.32,3.95,7.68,36-60,Male,191052,94.56,4.68,4.54,Medication,15281.0,No,96.04,3367.0,1.06,12856.0,0.5,27.61 +98653,Saudi Arabia,2001,Zika,Metabolic,12.09,3.68,4.47,19-35,Other,388104,57.51,4.84,2.88,Surgery,12443.0,No,72.73,1444.0,7.19,22949.0,0.59,58.64 +98657,India,2002,HIV/AIDS,Respiratory,15.57,12.94,3.31,61+,Male,852477,61.61,2.96,4.6,Medication,24441.0,No,77.87,526.0,6.05,49184.0,0.78,38.27 +98659,Turkey,2022,HIV/AIDS,Metabolic,16.62,7.1,2.24,36-60,Male,457574,56.7,1.24,9.68,Surgery,29925.0,Yes,70.0,3521.0,2.26,90912.0,0.7,85.57 +98660,Mexico,2009,Polio,Metabolic,2.21,10.01,0.52,36-60,Male,315624,76.91,4.86,9.01,Therapy,22804.0,No,82.62,4299.0,3.77,67268.0,0.87,21.77 +98661,Turkey,2011,Malaria,Neurological,9.13,0.77,1.13,36-60,Other,270296,88.08,4.05,3.17,Medication,40811.0,Yes,52.17,4921.0,5.97,67661.0,0.85,48.73 +98663,India,2006,Parkinson's Disease,Cardiovascular,4.07,11.35,8.75,61+,Other,212714,58.53,1.99,8.92,Surgery,42300.0,Yes,63.25,2066.0,7.75,91387.0,0.85,55.27 +98667,Russia,2019,Zika,Parasitic,16.21,10.0,8.18,36-60,Male,502790,62.82,2.86,8.78,Medication,23534.0,Yes,53.8,1832.0,1.0,87802.0,0.45,68.57 +98670,Nigeria,2010,Measles,Respiratory,8.44,7.58,6.47,19-35,Male,276732,75.6,2.08,3.55,Medication,26801.0,No,75.78,1907.0,4.38,25478.0,0.43,20.88 +98673,Japan,2012,Diabetes,Metabolic,15.49,14.76,2.14,36-60,Male,678756,87.49,2.49,0.58,Surgery,45502.0,Yes,54.7,2029.0,7.72,41585.0,0.78,88.16 +98676,China,2006,Rabies,Autoimmune,6.27,14.29,8.96,19-35,Male,980611,66.35,1.61,0.88,Vaccination,38484.0,No,68.87,3817.0,5.7,86306.0,0.49,89.94 +98677,USA,2000,Hepatitis,Neurological,15.25,10.52,9.46,61+,Female,491740,88.5,4.27,6.44,Therapy,42166.0,No,52.23,2301.0,7.07,79912.0,0.74,72.5 +98688,Canada,2002,COVID-19,Genetic,4.08,6.3,5.58,0-18,Male,514308,95.68,0.79,8.35,Vaccination,43953.0,No,82.72,80.0,4.47,27675.0,0.73,55.92 +98693,Japan,2000,Rabies,Parasitic,4.44,12.33,3.98,61+,Female,242980,96.37,4.89,5.22,Therapy,4934.0,Yes,96.56,3382.0,9.05,45897.0,0.41,30.23 +98695,Mexico,2014,Leprosy,Chronic,1.15,12.02,5.59,36-60,Female,313462,70.75,4.82,3.15,Surgery,9881.0,No,57.11,4501.0,4.08,20753.0,0.76,26.07 +98711,USA,2006,Alzheimer's Disease,Viral,4.43,4.39,2.61,19-35,Other,575948,60.94,0.86,6.45,Vaccination,25909.0,No,97.29,1026.0,1.11,59140.0,0.58,25.12 +98712,South Africa,2016,Dengue,Parasitic,3.66,14.97,1.95,19-35,Female,697296,53.77,4.64,6.47,Vaccination,38697.0,Yes,98.77,2862.0,8.48,84811.0,0.53,71.67 +98717,France,2013,Diabetes,Neurological,3.11,11.37,7.13,36-60,Other,186016,95.37,1.76,9.81,Surgery,33429.0,Yes,94.24,4051.0,7.77,25602.0,0.45,74.92 +98720,Turkey,2004,Tuberculosis,Genetic,2.49,10.51,4.92,0-18,Other,827798,70.06,3.04,10.0,Surgery,13795.0,No,96.92,3583.0,4.48,64115.0,0.59,62.29 +98721,Australia,2014,Influenza,Infectious,9.7,6.02,6.18,19-35,Female,904792,78.27,2.66,8.49,Medication,37341.0,Yes,96.73,867.0,8.1,23402.0,0.44,53.18 +98735,Indonesia,2005,Diabetes,Infectious,1.91,3.42,0.6,36-60,Other,655551,89.25,2.07,9.8,Therapy,13007.0,Yes,90.1,2273.0,1.48,23912.0,0.8,26.09 +98739,Mexico,2024,Polio,Metabolic,1.13,4.61,2.82,19-35,Other,793694,62.54,0.68,7.04,Vaccination,33947.0,No,88.4,2210.0,5.07,37454.0,0.52,75.07 +98744,Germany,2013,Zika,Infectious,12.02,8.13,7.9,19-35,Other,668359,58.42,3.77,0.82,Surgery,28071.0,No,79.01,676.0,0.76,49042.0,0.41,47.91 +98752,Japan,2004,Alzheimer's Disease,Metabolic,7.18,7.11,8.08,19-35,Male,640586,73.31,2.87,3.46,Vaccination,45742.0,Yes,60.36,3067.0,4.36,2991.0,0.84,78.3 +98753,China,2014,Tuberculosis,Genetic,4.36,14.29,1.8,36-60,Female,588162,84.1,3.87,9.24,Medication,40838.0,Yes,81.71,3877.0,1.33,678.0,0.5,30.09 +98754,India,2008,Measles,Respiratory,14.07,5.2,2.63,0-18,Male,260710,93.03,1.43,9.39,Therapy,42176.0,No,56.25,4034.0,7.19,8297.0,0.5,40.8 +98757,Turkey,2003,Rabies,Chronic,4.94,2.48,2.49,61+,Other,166776,71.13,3.38,2.06,Medication,1710.0,No,70.29,1093.0,7.52,17756.0,0.57,76.19 +98758,India,2005,Polio,Cardiovascular,11.81,10.98,0.47,36-60,Other,882903,94.71,2.42,5.23,Medication,19145.0,No,82.6,4035.0,6.53,73412.0,0.46,27.16 +98760,South Africa,2020,Zika,Bacterial,11.5,11.98,0.59,61+,Female,75540,59.83,2.92,7.27,Vaccination,37854.0,Yes,95.83,1848.0,3.52,15570.0,0.42,29.2 +98762,UK,2011,Cancer,Cardiovascular,16.76,2.64,2.92,36-60,Male,741684,75.76,3.27,2.96,Vaccination,12941.0,Yes,65.77,836.0,9.25,33530.0,0.66,73.46 +98763,Japan,2017,COVID-19,Neurological,4.51,14.07,7.91,19-35,Other,472648,66.1,2.31,2.06,Therapy,1997.0,No,64.94,205.0,6.55,95569.0,0.8,80.19 +98764,USA,2002,Asthma,Respiratory,19.63,1.19,1.73,36-60,Female,56734,71.53,1.01,9.29,Therapy,5765.0,No,65.61,3988.0,1.94,64002.0,0.43,51.5 +98766,Indonesia,2005,Influenza,Autoimmune,5.73,5.22,0.42,19-35,Female,971908,95.83,3.97,7.53,Vaccination,4700.0,No,65.57,4656.0,8.67,93651.0,0.54,84.22 +98769,Saudi Arabia,2016,Measles,Infectious,8.93,6.49,6.94,0-18,Male,463327,61.84,3.32,5.16,Medication,47311.0,No,82.18,3888.0,5.8,56718.0,0.64,46.42 +98770,Indonesia,2003,HIV/AIDS,Neurological,15.69,12.3,4.01,36-60,Male,736814,65.53,0.88,3.6,Medication,35479.0,No,58.12,2460.0,9.26,99604.0,0.79,85.08 +98771,South Africa,2005,Dengue,Viral,2.07,11.74,9.41,36-60,Female,649096,84.34,2.2,2.94,Medication,12897.0,Yes,87.75,3001.0,6.01,22236.0,0.49,40.17 +98772,Brazil,2009,Parkinson's Disease,Cardiovascular,4.85,13.53,3.35,36-60,Female,872166,65.49,3.81,6.62,Surgery,42697.0,Yes,77.03,3869.0,8.02,22279.0,0.89,41.05 +98774,Saudi Arabia,2015,Zika,Neurological,8.42,7.36,6.53,61+,Female,693947,74.78,2.44,3.0,Vaccination,11137.0,No,93.09,2267.0,7.67,36538.0,0.45,49.42 +98776,South Korea,2003,Tuberculosis,Bacterial,3.03,4.02,8.22,36-60,Male,59057,81.91,4.68,6.32,Vaccination,41814.0,Yes,70.07,2231.0,4.91,88224.0,0.51,88.52 +98778,Saudi Arabia,2015,Polio,Neurological,3.11,4.02,4.27,0-18,Other,393972,74.26,3.73,5.38,Therapy,28139.0,No,61.7,1727.0,3.72,54206.0,0.74,80.0 +98783,Germany,2017,Diabetes,Parasitic,6.5,8.98,4.87,19-35,Female,961598,51.16,1.91,3.5,Medication,47428.0,Yes,59.96,150.0,6.73,12881.0,0.83,56.25 +98785,France,2008,Zika,Respiratory,15.82,5.22,6.64,36-60,Male,595877,95.52,2.08,9.73,Therapy,34733.0,No,58.12,1526.0,5.26,66812.0,0.67,82.74 +98815,Argentina,2009,HIV/AIDS,Respiratory,19.86,9.62,4.51,36-60,Female,155392,96.92,1.74,8.89,Medication,31749.0,No,98.72,1187.0,1.63,5158.0,0.79,85.26 +98816,Russia,2019,Ebola,Autoimmune,3.83,0.33,4.85,61+,Female,856872,90.66,3.61,8.21,Surgery,2647.0,No,76.2,2586.0,7.62,52004.0,0.82,25.62 +98823,Germany,2012,Malaria,Parasitic,11.9,14.69,2.6,0-18,Other,727318,62.44,1.13,7.71,Surgery,31331.0,Yes,74.91,4752.0,6.74,81155.0,0.65,85.4 +98837,Nigeria,2003,Malaria,Infectious,17.46,0.75,3.58,36-60,Female,33218,70.05,4.52,1.3,Therapy,12844.0,Yes,60.68,832.0,1.4,49911.0,0.87,34.62 +98841,China,2023,Diabetes,Autoimmune,5.64,14.89,8.38,61+,Female,539720,59.27,0.51,2.2,Medication,9309.0,No,83.7,3189.0,1.46,26338.0,0.44,62.95 +98842,Japan,2014,Cancer,Respiratory,9.25,1.39,4.28,61+,Female,445063,73.46,1.12,6.24,Surgery,6702.0,Yes,71.32,2236.0,4.33,83768.0,0.75,43.23 +98846,South Africa,2022,Polio,Respiratory,2.97,7.79,1.82,36-60,Male,490118,95.82,1.3,3.17,Medication,30047.0,Yes,58.9,4608.0,7.29,41668.0,0.84,25.1 +98849,UK,2023,Zika,Genetic,14.76,4.62,6.9,0-18,Female,738226,76.45,0.67,9.26,Therapy,7744.0,No,98.02,1996.0,2.34,52063.0,0.83,42.84 +98850,Canada,2022,Polio,Genetic,2.29,1.39,2.33,61+,Female,520169,62.16,2.11,8.74,Therapy,9369.0,Yes,61.1,4158.0,9.96,42432.0,0.75,49.02 +98863,South Africa,2006,HIV/AIDS,Bacterial,11.17,2.31,3.0,19-35,Female,98618,91.01,1.44,9.5,Surgery,22280.0,Yes,57.61,1792.0,4.9,29096.0,0.53,51.02 +98866,Mexico,2015,Alzheimer's Disease,Genetic,11.84,1.77,4.01,19-35,Male,863977,78.64,4.14,7.6,Medication,34462.0,No,80.85,1614.0,2.88,98563.0,0.82,82.45 +98867,Nigeria,2019,Asthma,Metabolic,1.06,14.61,6.08,61+,Other,536216,62.83,3.87,2.6,Vaccination,32406.0,Yes,75.88,186.0,0.2,53767.0,0.81,65.97 +98869,Indonesia,2024,Parkinson's Disease,Respiratory,17.26,3.94,9.68,36-60,Female,323877,81.55,3.43,5.4,Surgery,30442.0,Yes,89.04,4826.0,0.83,25832.0,0.48,55.09 +98874,Indonesia,2007,Hepatitis,Chronic,8.61,3.73,7.41,61+,Female,406501,58.19,4.71,4.6,Medication,27027.0,No,53.07,1549.0,0.45,55378.0,0.73,50.87 +98875,Argentina,2005,Malaria,Parasitic,14.72,10.42,3.4,19-35,Other,864475,59.38,0.71,6.16,Surgery,29083.0,No,59.33,305.0,6.06,30293.0,0.54,24.96 +98879,Nigeria,2022,Zika,Chronic,17.0,10.49,3.5,61+,Other,876973,91.68,1.64,5.23,Surgery,1278.0,Yes,69.35,1599.0,2.39,55493.0,0.73,71.23 +98881,Saudi Arabia,2015,Cancer,Chronic,15.33,8.24,1.65,61+,Other,56592,56.04,4.39,3.15,Vaccination,1306.0,No,78.51,4343.0,9.19,43061.0,0.9,35.34 +98900,UK,2008,Leprosy,Respiratory,16.43,7.89,6.1,61+,Male,588952,73.63,3.42,3.35,Surgery,31292.0,Yes,73.97,4215.0,7.04,21855.0,0.77,69.58 +98914,Italy,2006,Hypertension,Parasitic,7.82,1.92,2.31,61+,Other,958266,84.64,2.64,4.68,Vaccination,7496.0,Yes,57.66,2606.0,8.71,44497.0,0.54,83.35 +98920,South Africa,2005,COVID-19,Viral,17.96,4.01,6.52,36-60,Other,124603,53.74,2.58,7.96,Surgery,22696.0,No,72.85,4884.0,0.36,20887.0,0.45,47.4 +98923,China,2002,Cholera,Viral,12.85,6.71,1.65,19-35,Other,151012,80.38,2.42,3.64,Therapy,24097.0,Yes,86.42,215.0,6.1,36237.0,0.86,61.66 +98925,Indonesia,2021,COVID-19,Parasitic,6.93,3.81,8.92,19-35,Male,497146,93.12,2.39,1.78,Therapy,25370.0,No,64.7,267.0,9.42,38926.0,0.82,80.37 +98927,South Korea,2006,Diabetes,Bacterial,3.51,11.1,7.67,0-18,Male,421633,69.09,0.62,6.32,Surgery,6235.0,Yes,50.84,3274.0,6.81,79485.0,0.65,50.99 +98928,Brazil,2024,Influenza,Autoimmune,19.2,13.21,4.34,61+,Male,419474,74.74,3.43,6.47,Vaccination,37002.0,Yes,61.36,1357.0,3.68,33891.0,0.71,60.32 +98931,Brazil,2022,Hepatitis,Chronic,5.51,13.21,5.03,0-18,Other,611529,89.89,0.64,2.34,Medication,1446.0,Yes,87.25,596.0,3.72,32788.0,0.58,76.94 +98935,Argentina,2010,COVID-19,Genetic,14.24,14.83,4.74,19-35,Female,78552,93.35,4.17,6.2,Vaccination,10665.0,Yes,98.07,4815.0,0.79,13074.0,0.83,73.87 +98936,South Korea,2019,Dengue,Chronic,5.26,9.31,1.46,0-18,Male,219132,58.92,2.63,1.39,Surgery,29515.0,Yes,97.32,2427.0,1.9,25147.0,0.51,89.67 +98939,Brazil,2014,Dengue,Viral,16.56,12.47,3.23,19-35,Female,609607,97.08,2.18,2.24,Therapy,42094.0,Yes,69.28,745.0,8.77,12294.0,0.42,70.32 +98945,UK,2001,Hepatitis,Chronic,17.09,3.57,8.98,61+,Male,419931,66.75,3.84,8.89,Medication,26884.0,No,81.27,1141.0,6.46,11107.0,0.41,73.44 +98968,Saudi Arabia,2017,Measles,Cardiovascular,17.59,0.63,2.58,36-60,Male,734212,88.5,4.7,9.05,Medication,7660.0,Yes,89.03,4152.0,7.17,16347.0,0.65,50.09 +98972,Germany,2002,Leprosy,Parasitic,15.1,0.55,9.9,36-60,Male,107801,70.96,0.65,3.97,Therapy,10137.0,No,55.57,3538.0,3.9,18260.0,0.48,72.87 +98974,Brazil,2017,Malaria,Parasitic,2.01,13.2,8.11,61+,Other,214382,63.01,3.72,5.15,Medication,19771.0,Yes,53.56,2289.0,9.42,8128.0,0.85,49.37 +98975,UK,2007,Influenza,Bacterial,0.65,12.66,7.87,0-18,Female,124187,69.13,1.34,0.69,Surgery,7417.0,No,62.1,735.0,4.13,29412.0,0.53,89.86 +98977,USA,2003,Zika,Autoimmune,15.05,10.62,2.67,36-60,Female,34542,66.53,1.94,7.17,Surgery,14180.0,No,51.06,225.0,6.07,28588.0,0.7,67.56 +98994,China,2013,Tuberculosis,Respiratory,2.78,5.8,2.21,19-35,Female,94194,88.13,4.22,5.73,Vaccination,23163.0,No,77.29,4281.0,0.38,50608.0,0.65,75.76 +98996,Italy,2012,Hepatitis,Bacterial,6.06,4.89,5.63,0-18,Female,697039,75.1,1.3,4.03,Medication,40778.0,No,74.86,2888.0,3.65,76483.0,0.68,81.84 +98998,China,2007,Leprosy,Bacterial,3.46,14.39,6.59,19-35,Other,498818,87.81,1.85,4.23,Surgery,38646.0,Yes,58.07,112.0,8.21,82498.0,0.84,75.2 +99002,Indonesia,2006,Zika,Respiratory,3.59,13.53,2.1,61+,Other,439252,91.78,3.44,7.84,Therapy,45287.0,No,96.09,4156.0,8.75,2168.0,0.62,72.28 +99005,France,2011,Asthma,Infectious,6.64,6.01,7.3,0-18,Female,241786,51.92,4.19,7.76,Therapy,43948.0,Yes,72.61,2715.0,1.01,68769.0,0.75,68.33 +99008,USA,2005,Cancer,Genetic,18.44,12.52,1.8,0-18,Male,794294,75.74,4.37,9.02,Medication,11162.0,No,59.87,3418.0,2.99,33757.0,0.61,28.25 +99009,Canada,2002,Dengue,Infectious,9.56,2.16,6.54,36-60,Male,238964,99.99,2.27,4.64,Therapy,28610.0,No,84.5,3484.0,5.12,76519.0,0.72,43.54 +99010,South Korea,2015,Asthma,Parasitic,0.11,10.11,1.59,36-60,Male,256431,77.52,3.11,4.54,Vaccination,22445.0,No,75.24,4886.0,1.36,17182.0,0.51,34.7 +99014,Indonesia,2016,Polio,Bacterial,17.56,5.29,4.29,61+,Female,266613,83.77,4.69,6.03,Vaccination,26312.0,No,52.58,2146.0,9.02,1180.0,0.56,47.86 +99018,Argentina,2001,Tuberculosis,Cardiovascular,18.09,12.1,4.07,19-35,Other,931755,94.87,1.85,3.72,Therapy,21725.0,No,71.16,4607.0,9.9,60085.0,0.62,40.97 +99020,China,2018,Diabetes,Metabolic,8.34,9.07,3.03,36-60,Male,105046,77.71,4.57,6.57,Medication,44993.0,No,92.09,2158.0,0.15,41245.0,0.9,58.17 +99027,Mexico,2010,Dengue,Metabolic,18.49,13.1,5.34,36-60,Other,957873,55.17,4.1,1.07,Therapy,47009.0,No,58.16,2219.0,3.75,32986.0,0.54,43.76 +99029,Germany,2015,Polio,Neurological,3.16,10.33,9.4,61+,Female,949362,59.83,3.36,1.02,Surgery,8585.0,Yes,67.4,827.0,6.28,59358.0,0.43,73.4 +99035,Indonesia,2013,Dengue,Bacterial,2.72,6.6,6.81,19-35,Female,568860,79.09,3.52,9.86,Vaccination,7862.0,Yes,70.34,2514.0,9.28,53858.0,0.66,43.1 +99037,Brazil,2020,COVID-19,Genetic,6.39,7.8,0.85,36-60,Male,351632,67.66,1.29,7.44,Therapy,20356.0,No,62.75,1376.0,8.68,5341.0,0.9,56.16 +99039,Russia,2012,Ebola,Respiratory,7.22,14.4,3.82,0-18,Female,249046,90.47,2.53,6.98,Therapy,1791.0,Yes,88.6,4361.0,1.32,90702.0,0.41,23.33 +99046,China,2001,Malaria,Chronic,17.6,5.95,2.41,0-18,Other,471486,88.54,4.59,5.49,Surgery,33662.0,No,91.25,3374.0,2.18,2873.0,0.64,30.29 +99049,Argentina,2016,Tuberculosis,Autoimmune,4.43,10.81,7.03,0-18,Other,118699,66.1,2.25,3.61,Vaccination,46002.0,Yes,62.41,2202.0,8.6,17940.0,0.54,30.97 +99052,Japan,2014,Cancer,Bacterial,18.38,6.58,0.86,19-35,Male,417390,69.77,2.18,1.03,Surgery,32121.0,No,86.24,3113.0,9.06,31451.0,0.9,54.96 +99053,Brazil,2017,Cancer,Cardiovascular,1.81,2.33,7.59,61+,Female,597921,72.51,0.87,9.08,Therapy,40655.0,Yes,77.67,1415.0,9.69,48663.0,0.67,35.18 +99058,Argentina,2017,Dengue,Neurological,13.78,2.92,0.11,36-60,Male,687941,98.48,3.16,4.89,Medication,11561.0,Yes,81.97,2290.0,3.76,44679.0,0.9,63.02 +99062,Indonesia,2017,Tuberculosis,Bacterial,7.93,8.48,7.21,36-60,Male,760446,56.84,1.42,1.64,Therapy,16547.0,Yes,55.64,1197.0,4.96,53570.0,0.86,86.34 +99063,USA,2022,Ebola,Viral,8.93,4.83,0.61,0-18,Male,613155,67.05,3.58,3.04,Vaccination,11395.0,Yes,57.13,2889.0,9.86,91653.0,0.57,42.72 +99073,France,2009,COVID-19,Viral,17.88,11.75,0.83,36-60,Female,52439,78.54,3.78,1.24,Surgery,28829.0,No,69.62,4075.0,7.4,13716.0,0.48,35.33 +99075,UK,2013,Influenza,Infectious,5.85,2.83,4.81,61+,Male,510502,74.39,2.98,9.52,Therapy,43756.0,Yes,98.9,4088.0,9.43,797.0,0.8,38.8 +99080,Australia,2020,Measles,Parasitic,8.0,0.38,4.61,61+,Female,344094,92.69,4.98,4.37,Vaccination,33906.0,Yes,67.26,338.0,5.4,27827.0,0.46,80.51 +99082,Indonesia,2006,Hypertension,Respiratory,4.13,3.23,8.37,0-18,Male,574456,67.14,1.04,7.57,Therapy,25673.0,Yes,52.28,185.0,9.09,94643.0,0.7,66.77 +99091,South Africa,2019,Polio,Chronic,7.59,1.65,5.65,19-35,Male,88760,56.31,1.01,5.76,Therapy,42999.0,No,59.56,1654.0,7.51,37874.0,0.66,82.53 +99100,USA,2004,Cholera,Respiratory,4.48,9.17,8.4,19-35,Male,9818,55.62,0.56,9.15,Therapy,26077.0,Yes,50.11,2059.0,9.86,49807.0,0.46,80.24 +99107,Russia,2023,Zika,Autoimmune,10.64,8.96,6.66,61+,Other,804729,69.61,0.6,1.99,Vaccination,36222.0,Yes,87.63,1470.0,8.32,77370.0,0.68,54.75 +99111,USA,2006,Leprosy,Parasitic,4.62,12.34,6.44,0-18,Female,387827,52.29,4.57,7.18,Surgery,47384.0,No,98.55,2595.0,7.55,28046.0,0.83,86.1 +99117,India,2012,Asthma,Chronic,19.91,1.35,5.17,36-60,Female,669093,59.75,4.28,3.36,Surgery,24443.0,Yes,54.5,3932.0,0.15,37361.0,0.46,37.43 +99119,South Korea,2009,Malaria,Genetic,9.49,11.73,1.1,19-35,Female,287709,83.41,4.27,2.61,Vaccination,1073.0,Yes,58.89,1549.0,9.6,26408.0,0.41,74.64 +99123,Argentina,2006,Measles,Parasitic,14.29,5.14,8.09,36-60,Male,304713,61.15,1.8,7.92,Vaccination,7183.0,Yes,81.66,4295.0,2.18,25356.0,0.8,36.92 +99131,South Korea,2024,Ebola,Chronic,16.48,8.34,3.89,19-35,Female,431776,80.79,4.02,0.73,Medication,10641.0,No,53.74,1886.0,9.23,637.0,0.56,50.09 +99135,Saudi Arabia,2005,Ebola,Parasitic,0.25,7.87,4.89,61+,Male,255054,83.92,0.74,5.5,Medication,23441.0,Yes,93.08,2115.0,5.55,32692.0,0.54,46.86 +99139,Australia,2024,Hypertension,Chronic,15.57,9.98,7.44,61+,Other,571500,97.28,1.61,9.74,Surgery,10158.0,No,51.51,2546.0,5.53,73739.0,0.82,24.51 +99140,South Africa,2023,Influenza,Respiratory,0.92,0.77,1.63,61+,Male,63451,52.47,3.27,4.85,Therapy,35857.0,Yes,93.38,4990.0,4.17,38813.0,0.63,84.03 +99143,Turkey,2014,Asthma,Metabolic,7.48,12.67,1.62,36-60,Female,650235,84.64,0.55,3.9,Vaccination,23838.0,No,58.81,1865.0,5.88,93047.0,0.68,42.46 +99150,Russia,2012,Polio,Chronic,11.47,4.67,2.78,0-18,Other,694858,85.47,3.4,7.02,Medication,17221.0,No,79.41,1856.0,3.58,54566.0,0.88,84.16 +99156,China,2020,Hypertension,Infectious,12.51,13.76,6.37,0-18,Female,611794,70.55,2.32,6.32,Medication,30790.0,Yes,92.9,2029.0,5.08,19363.0,0.51,44.89 +99164,Australia,2000,Measles,Neurological,7.73,10.37,4.9,19-35,Male,677367,80.68,1.97,9.25,Surgery,21445.0,Yes,83.53,534.0,8.86,91428.0,0.69,29.81 +99171,South Africa,2001,COVID-19,Cardiovascular,11.7,10.79,5.63,0-18,Male,597217,61.65,4.72,9.66,Surgery,2847.0,Yes,86.71,3498.0,3.6,63724.0,0.41,76.19 +99174,France,2012,Rabies,Cardiovascular,5.07,14.71,5.51,0-18,Male,121106,71.07,2.72,8.07,Surgery,33156.0,Yes,70.39,3535.0,5.52,59162.0,0.86,46.87 +99179,South Korea,2021,Hepatitis,Cardiovascular,9.3,4.55,4.54,0-18,Female,370401,56.89,4.27,6.06,Vaccination,17787.0,Yes,84.22,532.0,2.63,21946.0,0.81,82.55 +99185,China,2002,Alzheimer's Disease,Chronic,2.36,6.12,9.02,19-35,Male,508522,78.01,2.68,2.75,Medication,8305.0,No,98.17,1566.0,9.95,74026.0,0.84,75.67 +99190,Australia,2017,Hepatitis,Viral,19.96,3.52,1.32,0-18,Other,236321,85.77,2.06,1.27,Medication,26937.0,No,87.4,4868.0,5.72,32035.0,0.72,43.78 +99194,Australia,2007,Alzheimer's Disease,Genetic,7.89,2.28,8.26,36-60,Male,558486,61.29,2.66,8.88,Therapy,25983.0,No,52.95,1327.0,7.46,91489.0,0.52,56.54 +99202,France,2013,Hepatitis,Respiratory,17.9,7.58,1.07,0-18,Other,881801,97.61,0.53,6.24,Medication,28563.0,No,82.78,223.0,3.34,95353.0,0.77,70.65 +99213,Argentina,2020,HIV/AIDS,Parasitic,5.02,13.04,4.66,61+,Female,723113,78.82,2.46,6.37,Vaccination,3334.0,No,73.87,4681.0,2.87,81882.0,0.48,50.32 +99221,USA,2000,Leprosy,Cardiovascular,6.49,2.6,7.6,0-18,Female,428214,75.33,1.68,5.2,Surgery,45947.0,Yes,89.6,2708.0,8.06,63785.0,0.87,28.69 +99224,India,2020,Hypertension,Chronic,8.76,13.58,0.25,19-35,Male,7491,66.65,4.5,7.03,Medication,31748.0,Yes,91.84,4772.0,4.28,25667.0,0.7,43.93 +99230,Canada,2015,Measles,Genetic,0.57,5.62,6.37,19-35,Male,470635,78.23,0.51,6.28,Surgery,7407.0,No,89.02,4090.0,1.08,78598.0,0.82,30.8 +99231,Argentina,2014,Influenza,Metabolic,14.04,3.14,2.37,0-18,Male,369632,70.99,1.82,5.52,Surgery,30133.0,No,71.84,3389.0,4.66,29688.0,0.6,64.18 +99235,Japan,2007,Ebola,Metabolic,4.8,13.99,6.44,61+,Male,248197,63.63,0.91,6.81,Medication,15081.0,Yes,69.14,1138.0,6.38,44121.0,0.7,33.66 +99242,Australia,2003,Parkinson's Disease,Autoimmune,11.18,6.6,7.51,0-18,Male,852846,90.43,2.75,1.31,Surgery,5020.0,Yes,63.29,1621.0,7.74,17881.0,0.61,86.67 +99245,USA,2010,Parkinson's Disease,Viral,11.19,13.67,8.58,0-18,Other,879698,69.75,3.05,0.82,Medication,10585.0,No,68.95,414.0,9.38,81358.0,0.54,50.59 +99246,India,2013,Leprosy,Bacterial,6.58,10.82,3.84,36-60,Other,106555,82.45,3.61,9.42,Therapy,38355.0,Yes,50.3,4213.0,0.47,26564.0,0.44,39.94 +99253,South Africa,2020,Malaria,Respiratory,9.22,13.76,9.81,19-35,Male,376745,82.38,1.97,5.95,Surgery,13942.0,No,97.84,2531.0,6.81,84482.0,0.67,46.73 +99261,Indonesia,2017,Parkinson's Disease,Genetic,15.77,5.16,1.34,0-18,Female,844468,89.36,2.34,9.89,Surgery,16252.0,No,78.84,3081.0,2.48,43371.0,0.78,21.4 +99262,Mexico,2012,Ebola,Respiratory,12.73,1.21,8.97,61+,Male,604463,80.76,1.25,9.27,Therapy,7796.0,Yes,50.35,143.0,0.14,90335.0,0.46,84.88 +99264,Argentina,2008,Asthma,Cardiovascular,15.14,13.11,9.42,0-18,Female,966644,81.23,3.66,3.24,Vaccination,1346.0,Yes,55.06,4373.0,5.83,96329.0,0.78,30.38 +99271,Nigeria,2008,Ebola,Respiratory,0.9,12.6,8.09,19-35,Other,727431,73.28,1.77,1.44,Vaccination,5957.0,Yes,85.09,3953.0,5.28,62347.0,0.88,41.79 +99275,South Africa,2001,Influenza,Respiratory,14.24,3.45,2.47,61+,Male,814060,57.9,3.78,5.68,Surgery,43140.0,Yes,88.81,639.0,9.71,70417.0,0.68,76.67 +99277,Italy,2001,Dengue,Viral,18.47,7.86,8.56,19-35,Male,909454,96.58,0.59,0.87,Therapy,22696.0,Yes,76.12,1364.0,1.16,5748.0,0.49,79.8 +99280,Russia,2004,Malaria,Bacterial,19.93,7.82,9.72,36-60,Female,841657,65.48,1.43,9.84,Vaccination,30099.0,No,86.89,4269.0,0.65,66609.0,0.67,52.68 +99287,Mexico,2013,Dengue,Infectious,15.26,8.34,7.31,61+,Male,144280,96.19,0.52,8.21,Vaccination,45735.0,No,81.62,1112.0,6.73,84834.0,0.57,56.56 +99288,Russia,2017,Measles,Parasitic,17.58,10.17,4.15,61+,Male,724506,55.84,3.86,7.48,Therapy,17101.0,Yes,85.12,1640.0,0.18,78294.0,0.53,53.63 +99292,Argentina,2007,Measles,Viral,9.43,11.26,2.2,61+,Female,316528,97.8,2.77,6.28,Medication,41852.0,Yes,88.63,2715.0,1.47,29697.0,0.41,67.38 +99293,France,2011,Malaria,Cardiovascular,19.94,1.63,3.03,36-60,Male,422077,55.63,2.47,0.99,Vaccination,46676.0,No,80.48,893.0,2.51,22143.0,0.64,68.92 +99300,Canada,2013,Zika,Neurological,0.18,7.54,7.88,61+,Female,842345,54.78,1.68,3.81,Surgery,21144.0,No,98.8,721.0,4.24,20602.0,0.71,44.66 +99302,France,2024,COVID-19,Viral,13.78,13.24,5.46,36-60,Other,598452,55.89,4.84,0.83,Surgery,47589.0,No,82.9,2031.0,5.48,59797.0,0.62,50.72 +99308,Turkey,2001,Polio,Chronic,3.24,12.99,1.4,0-18,Other,911990,75.51,3.78,2.97,Vaccination,12028.0,No,66.13,4967.0,3.39,92641.0,0.88,73.45 +99310,Russia,2011,Asthma,Genetic,5.43,13.63,4.83,19-35,Other,331630,69.2,4.5,2.26,Vaccination,17896.0,No,76.54,1068.0,1.8,94108.0,0.5,22.55 +99311,South Africa,2003,Cholera,Cardiovascular,2.48,3.76,8.72,0-18,Female,13773,97.06,2.01,8.8,Therapy,44834.0,Yes,85.74,155.0,9.66,65385.0,0.59,70.13 +99331,Germany,2012,Cancer,Metabolic,10.07,6.67,8.81,0-18,Male,927799,88.46,1.77,2.53,Therapy,35948.0,Yes,67.16,3168.0,6.59,87993.0,0.86,56.13 +99334,Russia,2010,Asthma,Parasitic,0.58,7.9,2.74,36-60,Other,699961,54.29,1.35,6.79,Therapy,36287.0,No,85.01,3842.0,1.17,28813.0,0.66,55.36 +99335,Indonesia,2012,Malaria,Chronic,1.91,1.74,4.58,19-35,Female,605862,76.05,3.51,8.06,Medication,24165.0,Yes,58.83,2349.0,3.17,71877.0,0.77,64.36 +99348,Japan,2020,Zika,Respiratory,12.15,14.02,6.3,36-60,Female,827261,64.49,2.23,7.38,Surgery,34877.0,No,71.2,4470.0,9.56,89794.0,0.43,58.09 +99350,Turkey,2020,Malaria,Bacterial,7.57,10.89,6.23,0-18,Other,877995,53.82,4.89,9.79,Therapy,18890.0,Yes,67.85,4101.0,4.88,39904.0,0.59,21.95 +99355,Germany,2003,Asthma,Parasitic,16.0,8.72,7.91,61+,Male,775493,96.64,0.89,7.13,Therapy,45768.0,Yes,75.71,4928.0,4.72,14833.0,0.69,76.61 +99366,France,2005,Alzheimer's Disease,Metabolic,17.01,1.62,5.6,36-60,Female,202735,81.73,1.84,0.71,Vaccination,31940.0,Yes,89.16,394.0,6.43,93195.0,0.59,26.86 +99368,Italy,2000,Leprosy,Infectious,10.35,12.88,8.73,36-60,Female,517968,88.61,3.48,3.75,Therapy,13910.0,No,83.11,2308.0,6.09,87975.0,0.56,87.88 +99375,South Africa,2005,Measles,Chronic,14.36,9.99,3.38,61+,Male,711976,82.12,4.74,7.38,Therapy,45203.0,No,60.44,3368.0,3.49,84710.0,0.5,86.72 +99377,China,2001,Tuberculosis,Metabolic,14.71,11.55,7.83,36-60,Other,5203,78.41,1.01,9.42,Vaccination,20795.0,No,75.74,3679.0,2.45,83067.0,0.65,24.21 +99381,Japan,2001,Parkinson's Disease,Viral,14.16,0.21,0.7,0-18,Female,169101,60.6,3.63,1.64,Vaccination,44380.0,No,56.4,2205.0,5.06,17405.0,0.6,47.65 +99382,China,2007,Alzheimer's Disease,Cardiovascular,3.26,13.89,3.83,61+,Other,891530,86.74,3.05,0.88,Medication,31206.0,Yes,85.87,859.0,9.93,71879.0,0.8,24.55 +99385,Nigeria,2023,Alzheimer's Disease,Genetic,6.76,12.14,1.61,0-18,Other,945339,92.65,1.85,9.64,Therapy,36015.0,No,53.69,992.0,5.94,81920.0,0.88,30.56 +99403,UK,2019,Influenza,Respiratory,5.89,14.95,5.01,19-35,Female,203940,65.18,2.16,3.85,Therapy,30082.0,Yes,87.1,4581.0,6.9,46489.0,0.51,53.59 +99404,Turkey,2012,Rabies,Viral,10.22,13.05,4.98,0-18,Female,270631,60.7,3.8,4.76,Therapy,2186.0,No,92.82,80.0,8.55,22008.0,0.8,36.36 +99411,UK,2002,Hepatitis,Genetic,4.52,3.71,9.32,0-18,Female,897099,93.41,2.26,9.76,Vaccination,30165.0,Yes,71.46,869.0,5.27,69797.0,0.52,40.46 +99419,Brazil,2021,Leprosy,Cardiovascular,6.34,6.12,6.63,19-35,Female,62757,56.37,2.71,5.64,Surgery,35551.0,Yes,60.82,2166.0,8.9,22147.0,0.55,24.18 +99436,China,2019,HIV/AIDS,Metabolic,2.84,13.44,0.1,19-35,Female,565986,71.96,4.52,9.76,Vaccination,44426.0,Yes,87.52,3116.0,9.84,98633.0,0.62,70.54 +99437,Saudi Arabia,2014,Tuberculosis,Chronic,13.57,3.58,0.2,61+,Female,700057,76.66,2.44,1.24,Medication,28802.0,No,98.34,1984.0,9.08,27657.0,0.46,77.37 +99438,Russia,2013,Polio,Metabolic,7.57,5.58,1.47,0-18,Male,243270,74.75,2.77,1.37,Vaccination,9835.0,Yes,90.11,2090.0,5.13,31792.0,0.8,36.94 +99462,South Korea,2018,Parkinson's Disease,Cardiovascular,10.45,0.99,3.4,19-35,Male,810462,56.48,4.69,3.0,Vaccination,20664.0,Yes,71.26,3651.0,4.28,90698.0,0.68,45.36 +99464,France,2012,Leprosy,Chronic,9.39,9.81,9.01,0-18,Female,926521,82.03,3.36,6.0,Therapy,48704.0,Yes,64.46,75.0,2.26,89723.0,0.86,68.57 +99465,Italy,2004,COVID-19,Neurological,0.83,11.98,5.28,61+,Other,89307,92.09,0.92,5.84,Therapy,27199.0,Yes,54.64,713.0,7.98,39824.0,0.61,51.04 +99467,South Korea,2013,Leprosy,Viral,2.76,3.29,3.48,19-35,Female,808311,93.3,1.72,3.34,Surgery,33411.0,No,72.1,748.0,8.83,30155.0,0.42,80.27 +99470,Mexico,2015,Rabies,Metabolic,14.84,7.51,2.96,19-35,Other,922249,67.96,1.7,2.18,Therapy,38234.0,Yes,80.78,479.0,3.56,34176.0,0.64,41.32 +99477,Turkey,2018,Ebola,Viral,6.75,7.27,8.79,19-35,Male,776946,94.28,1.57,6.53,Vaccination,28321.0,Yes,72.26,1434.0,0.68,51402.0,0.47,78.38 +99485,Germany,2002,Parkinson's Disease,Infectious,15.85,1.32,8.17,61+,Other,618215,63.86,1.09,4.92,Therapy,3426.0,No,80.83,61.0,4.68,17678.0,0.68,23.0 +99488,Brazil,2014,Hepatitis,Parasitic,2.61,7.26,3.43,61+,Female,117942,79.13,1.55,6.44,Medication,15034.0,Yes,75.82,3251.0,1.92,85495.0,0.76,66.96 +99492,Brazil,2023,Ebola,Bacterial,5.03,2.31,7.31,0-18,Male,219331,80.27,3.66,2.24,Surgery,26568.0,No,64.29,1213.0,8.02,60391.0,0.65,20.37 +99496,Brazil,2008,Influenza,Metabolic,1.9,1.38,6.22,36-60,Female,508267,96.64,1.16,4.54,Vaccination,13784.0,No,95.68,111.0,4.27,25358.0,0.84,68.17 +99501,China,2024,HIV/AIDS,Infectious,14.81,7.93,4.24,61+,Female,429635,80.61,1.09,0.78,Therapy,13032.0,No,87.06,176.0,9.48,27536.0,0.83,50.92 +99502,Saudi Arabia,2020,Ebola,Parasitic,0.15,10.96,1.17,61+,Female,782523,60.94,2.27,2.48,Surgery,20570.0,Yes,63.79,1750.0,6.26,63779.0,0.8,67.67 +99517,Saudi Arabia,2010,HIV/AIDS,Viral,12.27,7.62,6.01,36-60,Other,889785,60.49,2.89,8.04,Medication,21577.0,Yes,64.06,3376.0,5.98,76508.0,0.71,74.38 +99518,Indonesia,2002,Cholera,Viral,6.14,13.29,6.61,36-60,Male,873347,85.96,1.68,8.28,Medication,44312.0,No,53.25,146.0,7.22,7223.0,0.83,72.59 +99520,South Africa,2020,Cancer,Neurological,2.6,1.98,1.31,19-35,Female,75631,85.98,2.72,0.84,Vaccination,16336.0,Yes,77.14,3164.0,4.7,31345.0,0.43,30.08 +99526,Germany,2001,Cholera,Infectious,13.49,14.86,6.37,61+,Other,746262,83.63,0.95,2.25,Vaccination,41010.0,Yes,97.93,2270.0,9.79,79317.0,0.44,53.14 +99540,China,2008,COVID-19,Viral,0.57,11.26,5.2,61+,Other,279558,74.77,4.99,3.0,Surgery,7488.0,Yes,50.13,4879.0,3.45,82086.0,0.83,31.07 +99542,South Africa,2010,Leprosy,Respiratory,14.81,9.36,7.95,0-18,Female,362747,53.55,3.8,5.18,Vaccination,3441.0,No,76.83,4733.0,2.91,5498.0,0.7,30.09 +99546,India,2000,Polio,Parasitic,8.5,9.43,4.13,36-60,Male,841957,85.46,1.36,5.87,Medication,27710.0,Yes,91.33,4526.0,5.04,44833.0,0.62,84.99 +99547,Australia,2016,Dengue,Infectious,13.9,0.18,2.07,36-60,Male,957073,86.36,2.24,2.49,Medication,9014.0,Yes,70.42,3542.0,2.15,44021.0,0.62,38.78 +99548,Nigeria,2019,Malaria,Infectious,12.82,0.78,6.62,0-18,Male,461636,56.53,4.74,4.5,Therapy,35961.0,Yes,62.21,2420.0,9.3,35227.0,0.56,73.77 +99549,South Korea,2019,Hypertension,Bacterial,15.43,2.36,1.85,61+,Other,655497,67.46,2.11,4.7,Vaccination,42165.0,Yes,71.2,3633.0,7.51,27728.0,0.44,57.19 +99567,Australia,2002,Parkinson's Disease,Bacterial,14.79,0.56,6.18,36-60,Other,454144,87.68,3.5,9.52,Surgery,35991.0,No,50.68,4272.0,2.1,71272.0,0.65,44.76 +99576,UK,2006,Cancer,Infectious,2.39,6.1,7.14,36-60,Male,219835,71.08,3.74,6.48,Therapy,16049.0,No,92.67,2515.0,9.07,21871.0,0.49,52.35 +99582,India,2006,Influenza,Bacterial,3.42,0.76,8.87,61+,Other,841697,83.92,1.14,7.58,Vaccination,41783.0,No,92.0,3582.0,5.35,33286.0,0.43,61.4 +99586,Mexico,2018,Hepatitis,Respiratory,4.14,5.45,6.63,0-18,Other,485765,62.13,2.02,8.4,Medication,44924.0,Yes,80.85,958.0,2.67,97796.0,0.7,56.84 +99588,India,2024,Ebola,Bacterial,18.32,4.26,1.21,61+,Male,295593,72.06,3.59,3.3,Vaccination,2743.0,Yes,62.47,4498.0,2.24,31864.0,0.81,29.92 +99592,Saudi Arabia,2014,Zika,Neurological,3.32,14.25,2.49,19-35,Other,699125,92.66,4.27,9.67,Vaccination,33681.0,No,65.51,2667.0,6.47,20493.0,0.47,56.75 +99594,UK,2016,Tuberculosis,Neurological,3.64,7.58,5.82,19-35,Female,252066,54.78,0.89,3.6,Medication,30590.0,Yes,51.8,724.0,0.58,14140.0,0.43,23.82 +99597,Indonesia,2000,Diabetes,Chronic,15.19,2.66,0.73,36-60,Other,600795,56.95,3.16,5.73,Surgery,8598.0,No,84.56,2263.0,6.97,29178.0,0.77,75.22 +99598,India,2004,Alzheimer's Disease,Parasitic,8.3,4.06,9.88,61+,Other,131215,88.88,3.74,1.94,Surgery,13544.0,Yes,86.54,308.0,7.88,60076.0,0.8,34.2 +99603,India,2004,Cholera,Viral,5.23,10.99,3.08,61+,Female,119433,85.9,1.43,7.72,Surgery,7027.0,Yes,84.71,616.0,4.29,89855.0,0.68,66.94 +99611,South Africa,2011,Zika,Autoimmune,13.63,8.2,6.49,0-18,Male,367464,50.7,0.52,3.26,Vaccination,14078.0,Yes,56.23,3302.0,1.46,62741.0,0.5,89.26 +99618,India,2004,Zika,Metabolic,9.65,9.14,3.55,19-35,Other,559616,86.11,4.26,9.56,Therapy,19226.0,Yes,95.01,134.0,2.98,39402.0,0.66,45.18 +99619,Mexico,2019,Hepatitis,Viral,1.13,5.09,6.13,61+,Female,449509,55.41,2.12,9.39,Vaccination,28569.0,Yes,81.14,3229.0,0.48,54143.0,0.64,34.53 +99630,Brazil,2012,Dengue,Cardiovascular,10.59,11.8,7.77,61+,Male,687565,70.74,1.51,3.24,Vaccination,30713.0,No,50.97,4744.0,7.6,39343.0,0.74,49.7 +99635,Canada,2013,COVID-19,Genetic,19.44,4.43,2.29,0-18,Male,702068,73.03,1.39,2.38,Surgery,2638.0,No,72.16,2284.0,2.1,70510.0,0.61,78.44 +99646,South Africa,2011,Alzheimer's Disease,Neurological,7.29,0.28,8.22,61+,Female,643729,54.99,4.69,8.62,Surgery,46829.0,No,69.75,3437.0,8.54,10608.0,0.56,72.38 +99653,UK,2013,Parkinson's Disease,Bacterial,17.52,5.84,1.0,61+,Male,136792,93.04,4.74,9.14,Therapy,36800.0,Yes,72.86,3704.0,0.89,57012.0,0.59,79.85 +99658,Mexico,2014,Alzheimer's Disease,Infectious,4.9,10.17,3.72,61+,Other,419609,61.12,1.05,6.95,Vaccination,46005.0,Yes,91.39,2806.0,5.88,67683.0,0.41,87.68 +99666,Brazil,2015,Dengue,Infectious,15.82,6.31,8.29,19-35,Female,59615,70.0,3.6,0.52,Medication,4998.0,No,52.78,1859.0,4.48,56614.0,0.72,53.59 +99668,Canada,2005,HIV/AIDS,Chronic,11.82,0.87,7.36,0-18,Other,920716,81.23,0.96,2.96,Therapy,31755.0,No,53.04,467.0,8.2,29418.0,0.47,24.67 +99669,Japan,2003,Ebola,Infectious,4.2,2.25,2.83,61+,Male,18243,51.02,2.19,2.0,Vaccination,16398.0,Yes,71.03,538.0,9.86,63369.0,0.42,61.08 +99685,Nigeria,2022,Parkinson's Disease,Cardiovascular,5.67,9.28,1.59,19-35,Other,587760,71.48,1.03,5.28,Vaccination,1351.0,Yes,68.7,922.0,4.63,87279.0,0.47,70.2 +99687,South Africa,2022,Leprosy,Neurological,14.9,10.18,3.04,36-60,Male,168796,67.65,1.78,1.19,Vaccination,14332.0,No,92.2,1875.0,0.95,42953.0,0.81,62.37 +99689,China,2004,Cholera,Bacterial,7.47,1.95,4.52,0-18,Female,771152,61.06,3.78,6.3,Medication,7329.0,Yes,88.06,3562.0,8.2,77847.0,0.89,75.48 +99696,Germany,2011,Hypertension,Viral,19.2,0.67,2.76,61+,Other,141832,59.01,3.97,3.58,Vaccination,27490.0,Yes,68.67,4345.0,0.69,20828.0,0.6,77.21 +99699,Saudi Arabia,2021,Cancer,Bacterial,14.94,7.77,4.26,61+,Other,420610,61.55,3.61,2.89,Vaccination,13514.0,No,93.41,2317.0,5.17,81775.0,0.68,75.2 +99704,USA,2003,Diabetes,Infectious,14.09,9.09,3.61,19-35,Other,594517,76.61,2.5,1.1,Medication,30251.0,Yes,66.24,4809.0,5.71,56883.0,0.48,48.2 +99709,France,2005,Zika,Parasitic,13.13,12.02,3.33,61+,Male,197047,72.95,0.8,7.61,Medication,13741.0,No,54.88,4354.0,4.91,13441.0,0.65,38.88 +99727,Australia,2019,Hepatitis,Cardiovascular,11.64,4.0,7.01,36-60,Other,666787,91.39,2.67,4.75,Therapy,17601.0,No,60.23,1593.0,7.92,21345.0,0.69,51.86 +99728,UK,2003,Tuberculosis,Chronic,12.84,3.28,5.09,19-35,Female,459391,98.62,3.13,8.03,Vaccination,28368.0,No,74.6,333.0,2.32,43273.0,0.42,39.43 +99732,Australia,2018,Asthma,Genetic,7.78,4.19,1.21,19-35,Male,619942,55.06,0.9,3.73,Vaccination,5665.0,No,59.45,2741.0,2.14,90346.0,0.61,65.27 +99742,Italy,2010,Hepatitis,Parasitic,15.49,14.5,2.65,61+,Other,286428,72.19,4.18,2.75,Vaccination,9653.0,Yes,96.67,2941.0,6.87,8075.0,0.75,66.53 +99747,Canada,2023,Measles,Bacterial,16.76,2.38,6.5,61+,Other,777735,80.23,3.85,0.62,Surgery,4678.0,No,70.82,3640.0,1.72,32468.0,0.7,66.57 +99751,China,2024,Cholera,Cardiovascular,6.44,7.82,4.44,61+,Male,849799,80.11,2.58,8.63,Therapy,32845.0,Yes,60.83,2199.0,7.32,22024.0,0.57,26.11 +99753,Australia,2010,Leprosy,Cardiovascular,11.27,10.04,8.01,61+,Male,269513,78.98,3.55,7.43,Therapy,21129.0,Yes,75.94,653.0,6.05,1326.0,0.5,83.54 +99756,Mexico,2023,Measles,Metabolic,18.48,2.04,8.4,61+,Male,140303,93.67,3.01,4.78,Medication,27030.0,No,72.96,972.0,5.18,75457.0,0.7,76.43 +99761,Canada,2021,Parkinson's Disease,Cardiovascular,11.54,4.83,1.68,36-60,Male,78073,81.52,3.52,7.31,Vaccination,223.0,No,89.87,2877.0,9.46,97605.0,0.57,67.35 +99764,Nigeria,2024,Malaria,Infectious,19.66,13.37,1.44,0-18,Female,327503,97.17,2.34,3.87,Surgery,44366.0,No,70.32,4278.0,8.83,66386.0,0.82,80.05 +99769,South Africa,2017,Leprosy,Parasitic,12.17,5.79,1.22,19-35,Female,872562,64.27,0.68,5.98,Surgery,12747.0,Yes,97.3,1831.0,4.0,94002.0,0.4,39.13 +99774,UK,2015,Cancer,Respiratory,4.88,3.51,7.99,19-35,Male,347539,53.48,1.31,6.08,Medication,22652.0,Yes,60.29,657.0,9.3,79578.0,0.81,30.19 +99775,France,2000,Measles,Bacterial,11.02,3.39,3.96,0-18,Male,804990,94.42,4.67,6.32,Medication,36659.0,No,56.82,3082.0,9.92,664.0,0.54,39.78 +99786,Brazil,2000,Influenza,Neurological,7.6,9.89,9.45,36-60,Male,163851,81.72,2.0,4.73,Medication,16546.0,Yes,68.85,3895.0,4.66,30069.0,0.84,89.96 +99787,Germany,2021,Diabetes,Metabolic,11.44,13.36,3.83,0-18,Female,233727,51.69,1.99,7.26,Vaccination,3470.0,No,50.78,3555.0,2.1,18868.0,0.74,50.06 +99788,South Africa,2004,Measles,Cardiovascular,4.8,2.97,7.16,36-60,Female,908661,94.66,4.31,9.43,Surgery,23824.0,No,50.87,4825.0,7.42,61956.0,0.55,61.03 +99792,Indonesia,2018,Leprosy,Genetic,14.24,9.41,6.74,36-60,Other,519228,53.72,2.37,7.61,Medication,35024.0,No,51.94,295.0,8.75,30134.0,0.5,87.04 +99797,Canada,2012,Cancer,Viral,14.55,1.13,4.53,36-60,Female,852242,97.33,4.64,8.04,Vaccination,14170.0,Yes,89.62,2992.0,3.66,94785.0,0.73,88.21 +99807,USA,2013,Hepatitis,Infectious,16.26,6.12,0.19,36-60,Female,78129,74.16,3.9,1.41,Surgery,47097.0,Yes,61.1,4500.0,6.46,8711.0,0.6,77.77 +99820,Germany,2009,Diabetes,Parasitic,13.98,9.33,0.88,19-35,Other,480358,78.73,3.29,4.51,Surgery,24589.0,No,81.81,2594.0,6.9,9821.0,0.64,46.38 +99821,Argentina,2019,Cancer,Infectious,12.44,11.8,4.84,61+,Male,884426,86.31,2.1,6.27,Medication,13599.0,Yes,65.13,1204.0,7.0,30231.0,0.86,48.84 +99822,South Korea,2010,Ebola,Autoimmune,7.41,14.32,0.56,61+,Other,401688,95.65,3.83,8.03,Surgery,43217.0,No,54.44,4529.0,9.79,47401.0,0.82,66.92 +99835,USA,2000,Dengue,Autoimmune,11.47,1.04,9.94,19-35,Other,265569,69.32,3.08,9.05,Medication,41977.0,Yes,66.81,3757.0,5.16,77956.0,0.76,74.53 +99839,China,2015,HIV/AIDS,Parasitic,1.95,13.92,9.32,19-35,Male,411513,56.86,4.02,0.64,Vaccination,31467.0,Yes,54.08,1406.0,4.21,38936.0,0.43,30.8 +99850,Brazil,2015,Malaria,Genetic,13.31,4.33,1.77,36-60,Male,843027,63.51,2.66,4.25,Vaccination,47728.0,No,68.33,2658.0,4.16,87490.0,0.49,57.48 +99855,France,2006,Polio,Genetic,19.37,9.34,0.7,19-35,Female,897375,97.49,4.64,9.19,Vaccination,37610.0,No,62.09,2870.0,3.66,50982.0,0.68,21.98 +99876,Russia,2024,Cancer,Respiratory,11.13,4.53,3.73,36-60,Other,944663,88.99,4.98,3.41,Therapy,10505.0,No,80.07,4172.0,7.62,97408.0,0.53,87.53 +99877,Saudi Arabia,2019,Hepatitis,Neurological,15.6,14.98,8.3,61+,Male,51389,87.13,3.26,0.57,Therapy,48553.0,Yes,89.13,406.0,4.58,87796.0,0.42,48.57 +99880,Argentina,2016,Cholera,Genetic,7.77,2.98,0.92,36-60,Other,73669,98.62,1.63,7.85,Surgery,32179.0,No,82.21,2959.0,8.32,58272.0,0.58,29.13 +99881,China,2021,Tuberculosis,Metabolic,0.37,11.64,9.05,19-35,Male,688415,59.05,4.71,7.03,Therapy,19804.0,No,87.88,3097.0,6.0,57096.0,0.47,30.74 +99888,Argentina,2002,Measles,Viral,14.57,4.09,0.58,36-60,Female,314410,84.51,2.65,4.11,Vaccination,25435.0,Yes,62.59,1028.0,6.1,82620.0,0.54,58.25 +99889,Russia,2006,Asthma,Bacterial,15.72,2.51,0.57,0-18,Other,453385,53.13,1.81,5.47,Medication,24661.0,No,51.98,459.0,3.33,68390.0,0.42,29.74 +99891,China,2000,HIV/AIDS,Infectious,2.69,13.57,6.37,19-35,Other,347165,87.31,3.2,5.8,Vaccination,6752.0,Yes,61.97,1888.0,4.52,74857.0,0.78,29.37 +99896,China,2016,Cholera,Metabolic,3.22,1.52,8.27,36-60,Male,216636,52.54,4.62,8.09,Vaccination,19717.0,Yes,52.51,2539.0,7.56,28048.0,0.42,43.63 +99907,Japan,2020,Cholera,Infectious,17.66,3.54,3.68,0-18,Other,116542,96.16,4.73,1.76,Therapy,26594.0,No,87.64,89.0,0.92,5257.0,0.76,24.87 +99910,Argentina,2016,Measles,Cardiovascular,11.36,5.49,8.41,61+,Male,796274,94.56,1.21,1.99,Vaccination,24360.0,Yes,72.42,3887.0,4.2,60637.0,0.61,61.95 +99911,Turkey,2008,Influenza,Chronic,6.82,2.32,2.25,36-60,Male,369141,70.46,4.35,9.19,Therapy,30513.0,Yes,65.2,1252.0,4.96,42475.0,0.7,77.47 +99925,Indonesia,2011,Leprosy,Cardiovascular,1.4,1.07,0.47,19-35,Other,514151,67.8,2.9,4.46,Medication,17479.0,Yes,86.97,2118.0,0.93,53346.0,0.42,34.85 +99926,India,2001,Cancer,Parasitic,1.68,10.39,0.23,61+,Other,302882,73.06,4.32,5.06,Medication,33718.0,No,84.39,4904.0,3.62,12570.0,0.65,77.42 +99931,India,2007,COVID-19,Respiratory,2.75,0.69,3.96,61+,Female,494617,81.83,2.09,1.65,Vaccination,27278.0,Yes,98.43,725.0,8.56,35014.0,0.61,44.19 +99935,Australia,2024,Asthma,Parasitic,2.55,6.06,4.67,0-18,Female,94884,60.07,0.96,0.92,Medication,23646.0,Yes,76.91,2017.0,6.57,87920.0,0.65,64.47 +99936,Argentina,2013,Rabies,Genetic,5.9,1.13,5.45,61+,Other,674761,73.69,2.65,9.06,Medication,17872.0,Yes,71.97,960.0,4.52,78379.0,0.51,36.44 +99939,Italy,2000,Influenza,Respiratory,8.71,9.46,6.7,61+,Other,905646,57.54,0.55,1.13,Surgery,823.0,Yes,86.49,62.0,8.33,49585.0,0.87,66.91 +99942,South Korea,2003,Cholera,Respiratory,12.48,12.39,9.21,0-18,Other,969574,80.31,4.55,6.81,Therapy,22765.0,No,91.66,137.0,1.64,70569.0,0.61,60.5 +99952,Russia,2022,Influenza,Autoimmune,3.27,6.59,4.12,19-35,Other,140884,85.05,4.65,2.31,Therapy,44798.0,No,82.42,2856.0,1.8,22419.0,0.89,51.53 +99953,Mexico,2013,Diabetes,Genetic,18.88,12.72,8.83,0-18,Other,168817,85.03,3.9,6.85,Medication,19328.0,No,55.81,740.0,4.53,57716.0,0.67,85.67 +99956,Saudi Arabia,2014,Cancer,Genetic,2.27,3.99,6.28,61+,Female,573847,60.3,1.11,9.71,Therapy,31545.0,No,57.07,1406.0,2.81,93258.0,0.7,71.57 +99973,Australia,2007,Hepatitis,Bacterial,16.49,11.92,2.73,36-60,Male,445243,80.13,3.28,8.62,Therapy,12490.0,Yes,98.07,2783.0,7.69,21808.0,0.43,55.94 +99975,Japan,2017,HIV/AIDS,Respiratory,17.42,14.6,7.88,19-35,Female,521145,57.49,1.18,6.91,Therapy,45912.0,Yes,96.95,3837.0,9.51,68195.0,0.89,34.2 +99976,Australia,2021,Tuberculosis,Autoimmune,2.4,4.94,4.98,61+,Male,989968,53.79,1.36,6.07,Vaccination,48494.0,No,80.08,4427.0,0.73,42105.0,0.6,28.04 +99980,Australia,2017,Hypertension,Neurological,2.55,0.84,6.96,19-35,Male,786636,68.72,2.98,1.05,Surgery,15056.0,Yes,89.41,680.0,1.71,37060.0,0.64,47.46 +99984,UK,2010,Measles,Metabolic,16.48,3.29,6.63,36-60,Male,819782,96.84,1.03,6.46,Therapy,7088.0,No,63.23,399.0,1.14,73707.0,0.6,45.2 +99985,Canada,2001,Alzheimer's Disease,Bacterial,15.71,10.18,5.12,36-60,Male,583395,99.32,4.09,3.28,Medication,42658.0,Yes,82.12,3051.0,2.52,52542.0,0.61,47.49 +99986,South Korea,2004,Measles,Respiratory,1.1,10.82,6.33,36-60,Male,518977,54.41,0.82,2.97,Therapy,5205.0,Yes,87.74,382.0,3.38,67734.0,0.83,76.76 +99987,Russia,2005,Asthma,Chronic,10.69,7.84,4.42,61+,Other,655891,73.03,4.83,8.89,Medication,2377.0,Yes,50.31,2814.0,3.43,44723.0,0.81,72.82 diff --git a/df_question1.csv b/df_question1.csv new file mode 100644 index 0000000..a3165a4 --- /dev/null +++ b/df_question1.csv @@ -0,0 +1,101 @@ +DiseaseName,Year,AvgPrevalence +Alzheimer's Disease,2020,11.920556 +Alzheimer's Disease,2023,9.921667 +Alzheimer's Disease,2021,10.355714 +Alzheimer's Disease,2024,9.421923 +Alzheimer's Disease,2022,8.998571 +Asthma,2021,11.131923 +Asthma,2020,10.611905 +Asthma,2024,10.0925 +Asthma,2023,10.856471 +Asthma,2022,8.572222 +COVID-19,2024,11.574615 +COVID-19,2021,8.094667 +COVID-19,2020,7.453636 +COVID-19,2023,8.09875 +COVID-19,2022,11.088 +Cancer,2020,9.851538 +Cancer,2022,11.683529 +Cancer,2021,8.073125 +Cancer,2023,9.754286 +Cancer,2024,8.195789 +Cholera,2021,9.01625 +Cholera,2020,9.652778 +Cholera,2022,6.486 +Cholera,2024,10.445 +Cholera,2023,9.091053 +Dengue,2022,13.637143 +Dengue,2023,8.18 +Dengue,2020,8.848947 +Dengue,2021,10.319091 +Dengue,2024,10.50875 +Diabetes,2021,9.957333 +Diabetes,2024,9.637692 +Diabetes,2023,9.65 +Diabetes,2020,8.333125 +Diabetes,2022,11.1025 +Ebola,2022,11.576471 +Ebola,2021,10.230313 +Ebola,2020,10.185769 +Ebola,2024,10.287333 +Ebola,2023,10.004375 +HIV/AIDS,2020,8.589375 +HIV/AIDS,2022,10.345294 +HIV/AIDS,2023,11.467143 +HIV/AIDS,2024,10.910435 +HIV/AIDS,2021,9.2845 +Hepatitis,2024,9.755 +Hepatitis,2022,12.3555 +Hepatitis,2020,9.137222 +Hepatitis,2023,11.3075 +Hepatitis,2021,8.252593 +Hypertension,2021,8.438889 +Hypertension,2024,9.270952 +Hypertension,2020,9.447895 +Hypertension,2022,9.622667 +Hypertension,2023,11.536842 +Influenza,2023,10.6568 +Influenza,2021,10.941786 +Influenza,2022,11.743 +Influenza,2024,10.232903 +Influenza,2020,12.325833 +Leprosy,2021,8.654615 +Leprosy,2024,9.638333 +Leprosy,2022,9.875 +Leprosy,2023,11.048667 +Leprosy,2020,7.873529 +Malaria,2024,14.456667 +Malaria,2022,9.326667 +Malaria,2023,9.830625 +Malaria,2021,9.589615 +Malaria,2020,9.084583 +Measles,2023,12.044 +Measles,2020,10.422941 +Measles,2022,9.739286 +Measles,2021,10.561304 +Measles,2024,9.076 +Parkinson's Disease,2020,10.618571 +Parkinson's Disease,2023,11.481364 +Parkinson's Disease,2021,10.062143 +Parkinson's Disease,2024,7.475333 +Parkinson's Disease,2022,9.672632 +Polio,2024,12.33 +Polio,2021,9.867333 +Polio,2022,13.745714 +Polio,2023,11.070588 +Polio,2020,9.274762 +Rabies,2023,9.916818 +Rabies,2021,11.32 +Rabies,2024,7.463846 +Rabies,2020,9.346923 +Rabies,2022,8.303333 +Tuberculosis,2023,11.204348 +Tuberculosis,2020,9.351333 +Tuberculosis,2024,7.72 +Tuberculosis,2022,7.402 +Tuberculosis,2021,9.434706 +Zika,2022,8.405 +Zika,2023,9.873529 +Zika,2024,9.491304 +Zika,2021,9.662 +Zika,2020,10.961304 diff --git a/global_health_observatory_download b/global_health_observatory_download new file mode 100644 index 0000000..efbd199 --- /dev/null +++ b/global_health_observatory_download @@ -0,0 +1,58 @@ +# GLOBAL HEALTH OBSERVATORY DOWNLOAD + +This zip data file has been downloaded from: + +- **Name**: World Health Statistics +- **URL**: [https://www.who.int/data/gho/data/themes/world-health-statistics](https://www.who.int/data/gho/data/themes/world-health-statistics) +- **Description**: + The United Nations Sustainable Development Goals (SDGs) are 17 goals with 169 targets that all 191 UN Member States have agreed to try to achieve by the year 2030. Health has a central place in **SDG 3**: *Ensure healthy lives and promote well-being for all at all ages*, underpinned by 13 targets that cover a wide spectrum of WHO’s work. Almost all of the other 16 goals are directly related to health or will contribute to health indirectly. + + The new agenda, which builds on the Millennium Development Goals, aims to be relevant to all countries and focuses on improving equity to meet the needs of women, children, and the poorest, most disadvantaged people. WHO's annual *World Health Statistics* reports present the most recent health statistics for the WHO Member States. + +# Dataset Field Descriptions + +- **Id**: A unique identifier for each record in the dataset. + +- **IndicatorCode**: The code corresponding to the specific indicator being measured (e.g., `"WSH_HYGIENE_BASIC"`). + +- **SpatialDimension**: The type of spatial categorization, such as `"COUNTRY"`, indicating the data pertains to a country. + +- **SpatialDimensionValueCode**: The specific code for the spatial dimension (e.g., `"BEN"` for Benin, `"KGZ"` for Kyrgyzstan). + +- **ParentLocationCode**: Code for the broader geographic area (e.g., `"AFR"` for Africa, `"EUR"` for Europe). + +- **ParentLocation**: The name of the parent location corresponding to the code (e.g., `"Africa"`, `"Europe"`). + +- **TimeDimension**: Indicates the temporal unit of the data (e.g., `"YEAR"` for annual data). + +- **TimeDim**: The specific year for which the data is reported. + +- **DisaggregatingDimension1**: A variable for breaking down the data, such as residence type. + +- **DisaggregatingDimension1ValueCode**: The specific code for the disaggregating variable (e.g., `"RESIDENCEAREATYPE_RUR"` for rural areas). + +- **DisaggregatingDimension2**, **DisaggregatingDimension2ValueCode**: Placeholder for additional disaggregation dimensions and their values (if applicable). + +- **DisaggregatingDimension3**, **DisaggregatingDimension3ValueCode**: Additional dimensions for further breakdowns, though these columns are empty in this sample. + +- **DataSourceDimension**: A placeholder for the source of the data (e.g., `"Survey"`). + +- **DataSourceDimensionValueCode**: Code corresponding to the data source (if applicable). + +- **Value**: The actual value measured for the indicator. + +- **NumericValue**: A numeric representation of the value (possibly formatted for computations). + +- **Low**: The lower bound of the confidence interval or range for the value (if applicable). + +- **High**: The upper bound of the confidence interval or range for the value (if applicable). + +- **Comments**: Additional notes or context about the data. + +- **Date**: The date the record was last updated or reported. + +- **TimeDimensionValue**: Another reference for the time period (same as **TimeDim**). + +- **TimeDimensionBegin**: Start date for the time period. + +- **TimeDimensionEnd**: End date for the time period. diff --git a/project-2-eda-sql.code-workspace b/project-2-eda-sql.code-workspace new file mode 100644 index 0000000..876a149 --- /dev/null +++ b/project-2-eda-sql.code-workspace @@ -0,0 +1,8 @@ +{ + "folders": [ + { + "path": "." + } + ], + "settings": {} +} \ No newline at end of file diff --git a/seeding_GlobalHealth.sql b/seeding_GlobalHealth.sql new file mode 100644 index 0000000..d03a4ec --- /dev/null +++ b/seeding_GlobalHealth.sql @@ -0,0 +1,14 @@ +LOAD DATA INFILE 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/Global Health Statistics.csv' +INTO TABLE HealthStatistics +FIELDS TERMINATED BY ',' +ENCLOSED BY '"' +LINES TERMINATED BY '\n' +IGNORE 1 ROWS +( + Country, Year, DiseaseName, DiseaseCategory, PrevalenceRate, IncidenceRate, MortalityRate, + AgeGroup, Gender, PopulationAffected, HealthcareAccess, DoctorsPer1000, HospitalBedsPer1000, + TreatmentType, AverageTreatmentCost, AvailabilityOfVaccinesTreatment, RecoveryRate, DALYs, + ImprovementIn5Years, PerCapitaIncome, EducationIndex, UrbanizationRate +); + + diff --git a/top_diseases.csv b/top_diseases.csv new file mode 100644 index 0000000..3de3f35 --- /dev/null +++ b/top_diseases.csv @@ -0,0 +1,6 @@ +0 +Hypertension +Malaria +Rabies +Measles +Cholera From a2078f1c3c9f7887710903d35bc469bf59a7f882 Mon Sep 17 00:00:00 2001 From: dbigman Date: Tue, 24 Dec 2024 16:20:50 -0400 Subject: [PATCH 06/10] answers, office --- Business Challenge EDA and SQL.ipynb | 747 ++++++++++++++++++++++++--- 1 file changed, 661 insertions(+), 86 deletions(-) diff --git a/Business Challenge EDA and SQL.ipynb b/Business Challenge EDA and SQL.ipynb index 0ba478f..8591fab 100644 --- a/Business Challenge EDA and SQL.ipynb +++ b/Business Challenge EDA and SQL.ipynb @@ -39,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -55,7 +55,7 @@ "import csv\n", "import chardet\n", "\n", - "file_path = \"Global Health Statistics.csv\"\n", + "file_path = r\"C:\\Users\\Dan\\OneDrive - Gasco Industrial Corp\\Global Health Statistics.csv\"\n", "\n", "# count numer of rows\n", "with open(file_path, 'r', encoding='utf-8') as file:\n", @@ -74,26 +74,58 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "File successfully split into 11 chunks.\n" + "File successfully split into 11 chunks in the folder: C:\\Users\\Dan\\Desktop\\chunks\n" ] } ], "source": [ "import csv\n", "import chardet\n", + "import os\n", "\n", "# The original dataset is taking too long to insert, so I split into 10 chunks. \n", + "# Column names were changed to match \n", "\n", - "input_file = \"Global Health Statistics.csv\"\n", + "input_file = r\"C:\\Users\\Dan\\Desktop\\Global Health Statistics.csv\"\n", "num_chunks = 10 # Number of chunks to split the file into\n", "\n", + "# Create a folder to save the chunks\n", + "output_folder = os.path.join(os.path.dirname(input_file), \"chunks\")\n", + "os.makedirs(output_folder, exist_ok=True)\n", + "\n", + "# Column mapping from CSV to database column names\n", + "column_mapping = {\n", + " \"Country\": \"Country\",\n", + " \"Year\": \"Year\",\n", + " \"Disease Name\": \"DiseaseName\",\n", + " \"Disease Category\": \"DiseaseCategory\",\n", + " \"Prevalence Rate (%)\": \"PrevalenceRate\",\n", + " \"Incidence Rate (%)\": \"IncidenceRate\",\n", + " \"Mortality Rate (%)\": \"MortalityRate\",\n", + " \"Age Group\": \"AgeGroup\",\n", + " \"Gender\": \"Gender\",\n", + " \"Population Affected\": \"PopulationAffected\",\n", + " \"Healthcare Access (%)\": \"HealthcareAccess\",\n", + " \"Doctors per 1000\": \"DoctorsPer1000\",\n", + " \"Hospital Beds per 1000\": \"HospitalBedsPer1000\",\n", + " \"Treatment Type\": \"TreatmentType\",\n", + " \"Average Treatment Cost (USD)\": \"AverageTreatmentCost\",\n", + " \"Availability of Vaccines/Treatment\": \"AvailabilityOfVaccinesTreatment\",\n", + " \"Recovery Rate (%)\": \"RecoveryRate\",\n", + " \"DALYs\": \"DALYs\",\n", + " \"Improvement in 5 Years (%)\": \"ImprovementIn5Years\",\n", + " \"Per Capita Income (USD)\": \"PerCapitaIncome\",\n", + " \"Education Index\": \"EducationIndex\",\n", + " \"Urbanization Rate (%)\": \"UrbanizationRate\"\n", + "}\n", + "\n", "# Detect encoding of the file\n", "with open(input_file, 'rb') as file:\n", " raw_data = file.read()\n", @@ -113,16 +145,19 @@ " reader = csv.reader(infile)\n", " header = next(reader) # Save the header row\n", "\n", + " # Rename the headers according to the column mapping\n", + " renamed_header = [column_mapping.get(col, col) for col in header]\n", + "\n", " chunk_number = 1\n", " rows = []\n", "\n", " for i, row in enumerate(reader, start=1):\n", " rows.append(row)\n", " if len(rows) == rows_per_chunk + (1 if remainder > 0 else 0): # Add 1 row for chunks with remainder\n", - " output_file = f\"chunk_{chunk_number}.csv\"\n", + " output_file = os.path.join(output_folder, f\"chunk_{chunk_number}.csv\")\n", " with open(output_file, 'w', encoding='utf-8', newline='') as outfile:\n", " writer = csv.writer(outfile)\n", - " writer.writerow(header) # Write the header\n", + " writer.writerow(renamed_header) # Write the renamed header\n", " writer.writerows(rows)\n", " chunk_number += 1\n", " rows = [] # Clear the list for the next chunk\n", @@ -131,128 +166,668 @@ "\n", " # Write the remaining rows\n", " if rows:\n", - " output_file = f\"chunk_{chunk_number}.csv\"\n", + " output_file = os.path.join(output_folder, f\"chunk_{chunk_number}.csv\")\n", " with open(output_file, 'w', encoding='utf-8', newline='') as outfile:\n", " writer = csv.writer(outfile)\n", - " writer.writerow(header)\n", + " writer.writerow(renamed_header)\n", " writer.writerows(rows)\n", "\n", - "print(f\"File successfully split into {chunk_number} chunks.\")\n" + "print(f\"File successfully split into {chunk_number} chunks in the folder: {output_folder}\")\n" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 2, "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "Connected to the GlobalHealth database successfully!\n" + "ic| f\"Connected to the {database} database successfully!\": 'Connected to the GlobalHealth database successfully!'\n" ] + }, + { + "data": { + "text/plain": [ + "'Connected to the GlobalHealth database successfully!'" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ "import pymysql\n", "import pandas as pd\n", + "from icecream import ic\n", "\n", "# Database connection settings\n", - "host = \"localhost\" # Replace with your host, e.g., 127.0.0.1 or a server address\n", - "user = \"root\" # Replace with your MySQL username\n", - "password = \"Malcomx1\" # Replace with your MySQL password\n", - "database = \"GlobalHealth\" # Replace with your database name\n", + "host = \"localhost\" # host, e.g., 127.0.0.1 or a server address\n", + "user = \"root\" # MySQL username\n", + "password = \"Malcomx1\" # MySQL password\n", + "database = \"GlobalHealth\" # database name\n", "\n", "# Establish the connection\n", "connection = pymysql.connect(\n", " host=host,\n", " user=user,\n", " password=password,\n", - " database=database\n", + " database=database,\n", + " local_infile=1 # Enable LOCAL INFILE\n", ")\n", "\n", - "print(f\"Connected to the {database} database successfully!\")\n" + "cursor = connection.cursor()\n", + "\n", + "ic(f\"Connected to the {database} database successfully!\")\n", + "\n", + "# # TRUNCATE erases the tale. \n", + "# try:\n", + "# # Truncate the table\n", + "# cursor.execute(\"TRUNCATE TABLE healthstatistics;\")\n", + "# connection.commit()\n", + "# ic(\"Table healthstatistics has been cleared.\")\n", + "# except pymysql.MySQLError as e:\n", + "# ic(f\"Error: {e}\")\n", + "# finally:\n", + "# # cursor.close()\n", + "# # connection.close()" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 3, "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - " id Country Year DiseaseName DiseaseCategory \\\n", - "0 1 Italy 2013 Malaria Respiratory \n", - "1 2 France 2002 Ebola Parasitic \n", - "2 3 Turkey 2015 COVID-19 Genetic \n", - "3 4 Indonesia 2011 Parkinson's Disease Autoimmune \n", - "4 5 Italy 2013 Tuberculosis Genetic \n", - "5 6 Saudi Arabia 2011 Dengue Bacterial \n", - "6 7 USA 2013 Malaria Cardiovascular \n", - "7 8 Nigeria 2007 Tuberculosis Neurological \n", - "8 9 Italy 2000 Rabies Chronic \n", - "9 10 Australia 2006 Cholera Chronic \n", - "\n", - " PrevalenceRate IncidenceRate MortalityRate AgeGroup Gender ... \\\n", - "0 0.95 1.55 8.42 0-18 Male ... \n", - "1 12.46 8.63 8.75 61+ Male ... \n", - "2 0.91 2.35 6.22 36-60 Male ... \n", - "3 4.68 6.29 3.99 0-18 Other ... \n", - "4 0.83 13.59 7.01 61+ Male ... \n", - "5 10.99 6.49 4.64 61+ Female ... \n", - "6 18.42 6.33 9.33 61+ Female ... \n", - "7 3.48 5.71 1.21 0-18 Female ... \n", - "8 15.59 4.74 6.38 19-35 Female ... \n", - "9 10.12 2.08 6.00 61+ Male ... \n", - "\n", - " HospitalBedsPer1000 TreatmentType AverageTreatmentCost \\\n", - "0 7.58 Medication 21064.0 \n", - "1 5.11 Surgery 47851.0 \n", - "2 3.49 Vaccination 27834.0 \n", - "3 8.44 Surgery 144.0 \n", - "4 5.90 Medication 8908.0 \n", - "5 0.62 Therapy 42671.0 \n", - "6 3.31 Surgery 15579.0 \n", - "7 3.54 Medication 15744.0 \n", - "8 5.84 Therapy 7669.0 \n", - "9 6.01 Medication 9468.0 \n", - "\n", - " AvailabilityOfVaccinesTreatment RecoveryRate DALYs ImprovementIn5Years \\\n", - "0 No 91.82 4493.0 2.16 \n", - "1 Yes 76.65 2366.0 4.82 \n", - "2 Yes 98.55 41.0 5.81 \n", - "3 Yes 67.35 3201.0 2.22 \n", - "4 Yes 50.06 2832.0 6.93 \n", - "5 Yes 93.17 416.0 9.83 \n", - "6 No 92.80 4535.0 0.89 \n", - "7 Yes 65.45 4584.0 9.81 \n", - "8 Yes 59.23 2253.0 9.92 \n", - "9 Yes 93.21 4694.0 2.96 \n", - "\n", - " PerCapitaIncome EducationIndex UrbanizationRate \n", - "0 16886.0 0.79 86.02 \n", - "1 80639.0 0.74 45.52 \n", - "2 12245.0 0.41 40.20 \n", - "3 49336.0 0.49 58.47 \n", - "4 47701.0 0.50 48.14 \n", - "5 29597.0 0.46 56.50 \n", - "6 60027.0 0.70 20.48 \n", - "7 23222.0 0.46 66.49 \n", - "8 30849.0 0.55 41.27 \n", - "9 68856.0 0.90 83.30 \n", - "\n", - "[10 rows x 23 columns]\n" + "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", + " '9.1\\\\Uploads\\\\chunks\\\\chunk_1.csv...')\n", + "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.48 seconds'\n", + "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", + " '9.1\\\\Uploads\\\\chunks\\\\chunk_2.csv...')\n", + "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.31 seconds'\n", + "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", + " '9.1\\\\Uploads\\\\chunks\\\\chunk_3.csv...')\n", + "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.27 seconds'\n", + "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", + " '9.1\\\\Uploads\\\\chunks\\\\chunk_4.csv...')\n", + "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.26 seconds'\n", + "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", + " '9.1\\\\Uploads\\\\chunks\\\\chunk_5.csv...')\n", + "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.36 seconds'\n", + "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", + " '9.1\\\\Uploads\\\\chunks\\\\chunk_6.csv...')\n", + "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.19 seconds'\n", + "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", + " '9.1\\\\Uploads\\\\chunks\\\\chunk_7.csv...')\n", + "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.29 seconds'\n", + "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", + " '9.1\\\\Uploads\\\\chunks\\\\chunk_8.csv...')\n", + "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.35 seconds'\n", + "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", + " '9.1\\\\Uploads\\\\chunks\\\\chunk_9.csv...')\n", + "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.40 seconds'\n", + "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", + " '9.1\\\\Uploads\\\\chunks\\\\chunk_10.csv...')\n", + "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.35 seconds'\n" ] - }, + } + ], + "source": [ + "import os\n", + "import time\n", + "\n", + "# Path to the folder containing the chunks\n", + "chunk_folder = r\"C:\\ProgramData\\MySQL\\MySQL Server 9.1\\Uploads\\chunks\"\n", + "\n", + "# Connect to MySQL\n", + "\n", + "# Load each chunk file sequentially\n", + "for chunk_number in range(1, 11): # Assuming chunks are named chunk_1.csv to chunk_10.csv\n", + " chunk_file = os.path.join(chunk_folder, f\"chunk_{chunk_number}.csv\")\n", + " ic(f\"Loading {chunk_file}...\")\n", + " \n", + " # Construct the LOAD DATA INFILE query\n", + " query = \"\"\"\n", + " LOAD DATA LOCAL INFILE '{chunk_file}'\n", + " INTO TABLE healthstatistics\n", + " FIELDS TERMINATED BY ',' \n", + " ENCLOSED BY '\"'\n", + " LINES TERMINATED BY '\\\\n'\n", + " IGNORE 1 LINES\n", + " (\n", + " Country, Year, DiseaseName, DiseaseCategory, PrevalenceRate, IncidenceRate, MortalityRate, AgeGroup, Gender, PopulationAffected, \n", + " HealthcareAccess, DoctorsPer1000, HospitalBedsPer1000, TreatmentType, AverageTreatmentCost, AvailabilityOfVaccinesTreatment, RecoveryRate, DALYs,\n", + " ImprovementIn5Years, PerCapitaIncome, EducationIndex, UrbanizationRate\n", + " );\n", + " \"\"\".format(chunk_file=chunk_file.replace(\"\\\\\", \"/\"))\n", + " \n", + " try:\n", + " # Start the timer\n", + " start_time = time.time() \n", + " cursor.execute(query)\n", + " connection.commit()\n", + " # End the timer\n", + " end_time = time.time()\n", + " # print(f\"Successfully loaded {chunk_file}\")\n", + " # Calculate and print the elapsed time\n", + " elapsed_time = end_time - start_time\n", + " ic(f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\")\n", + " # print(f\"Successfully loaded {chunk_file}\")\n", + " # Calculate and print the elapsed time\n", + "\n", + " except pymysql.MySQLError as e:\n", + " ic(f\"Error loading {chunk_file}: {e}\")\n", + "\n", + "# Close the connection\n", + "# cursor.close()\n", + "# connection.close()\n", + "# print(\"All chunks loaded successfully.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'chunk_folder' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[2], line 5\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;66;03m# Load each chunk file sequentially\u001b[39;00m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m chunk_number \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m11\u001b[39m): \u001b[38;5;66;03m# Assuming chunks are named chunk_1.csv to chunk_10.csv\u001b[39;00m\n\u001b[1;32m----> 5\u001b[0m chunk_file \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(\u001b[43mchunk_folder\u001b[49m, \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mchunk_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mchunk_number\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 6\u001b[0m ic(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLoading \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mchunk_file\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m...\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 8\u001b[0m \u001b[38;5;66;03m# Construct the LOAD DATA INFILE query\u001b[39;00m\n", + "\u001b[1;31mNameError\u001b[0m: name 'chunk_folder' is not defined" + ] + } + ], + "source": [ + "import os\n", + "\n", + "# Load each chunk file sequentially\n", + "for chunk_number in range(1, 11): # Assuming chunks are named chunk_1.csv to chunk_10.csv\n", + " chunk_file = os.path.join(chunk_folder, f\"chunk_{chunk_number}.csv\")\n", + " ic(f\"Loading {chunk_file}...\")\n", + " \n", + " # Construct the LOAD DATA INFILE query\n", + " query = \"\"\"\n", + " LOAD DATA LOCAL INFILE '{chunk_file}'\n", + " INTO TABLE healthstatistics\n", + " FIELDS TERMINATED BY ',' \n", + " ENCLOSED BY '\"'\n", + " LINES TERMINATED BY '\\\\n'\n", + " IGNORE 1 LINES\n", + " (\n", + " Country, Year, DiseaseName, DiseaseCategory, PrevalenceRate, IncidenceRate, MortalityRate, AgeGroup, Gender, PopulationAffected, \n", + " HealthcareAccess, DoctorsPer1000, HospitalBedsPer1000, TreatmentType, AverageTreatmentCost, AvailabilityOfVaccinesTreatment, RecoveryRate, DALYs,\n", + " ImprovementIn5Years, PerCapitaIncome, EducationIndex, UrbanizationRate\n", + " );\n", + " \"\"\".format(chunk_file=chunk_file.replace(\"\\\\\", \"/\"))\n", + "\n", + "\n", + "####\n", + "\n", + "\n", + "table_schema = 'GlobalHealth'\n", + "table = 'healthstatistics'\n", + "\n", + "try:\n", + " # Query to count rows\n", + " \n", + " row_count_query = \"SELECT COUNT(*) AS total_rows FROM {table};\"\n", + " cursor.execute(row_count_query)\n", + " total_rows = cursor.fetchone()[0]\n", + " \n", + " # Query to count columns\n", + " column_count_query = \"\"\"\n", + " SELECT COUNT(*) AS total_columns\n", + " FROM INFORMATION_SCHEMA.COLUMNS\n", + " WHERE TABLE_NAME = {table} AND TABLE_SCHEMA = {GlobalHealth};\n", + " \"\"\"\n", + " cursor.execute(column_count_query)\n", + " total_columns = cursor.fetchone()[0]\n", + " \n", + " print(f\"The table {table} has {total_rows} rows and {total_columns} columns.\")\n", + "except pymysql.MySQLError as e:\n", + " print(f\"Error: {e}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\2624090142.py:5: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df = pd.read_sql(query, connection)\n" + "C:\\Users\\Dan\\AppData\\Local\\Temp\\ipykernel_17236\\333873676.py:5: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df = pd.read_sql(query, connection)\n", + "ic| df: id Country Year DiseaseName DiseaseCategory \n", + " 0 1 Italy 2013 Malaria Respiratory \\\n", + " 1 2 France 2002 Ebola Parasitic \n", + " 2 3 Turkey 2015 COVID-19 Genetic \n", + " 3 4 Indonesia 2011 Parkinson's Disease Autoimmune \n", + " 4 5 Italy 2013 Tuberculosis Genetic \n", + " 5 6 Saudi Arabia 2011 Dengue Bacterial \n", + " 6 7 USA 2013 Malaria Cardiovascular \n", + " 7 8 Nigeria 2007 Tuberculosis Neurological \n", + " 8 9 Italy 2000 Rabies Chronic \n", + " 9 10 Australia 2006 Cholera Chronic \n", + " \n", + " PrevalenceRate IncidenceRate MortalityRate AgeGroup Gender ... \n", + " 0 0.95 1.55 8.42 0-18 Male ... \\\n", + " 1 12.46 8.63 8.75 61+ Male ... \n", + " 2 0.91 2.35 6.22 36-60 Male ... \n", + " 3 4.68 6.29 3.99 0-18 Other ... \n", + " 4 0.83 13.59 7.01 61+ Male ... \n", + " 5 10.99 6.49 4.64 61+ Female ... \n", + " 6 18.42 6.33 9.33 61+ Female ... \n", + " 7 3.48 5.71 1.21 0-18 Female ... \n", + " 8 15.59 4.74 6.38 19-35 Female ... \n", + " 9 10.12 2.08 6.00 61+ Male ... \n", + " \n", + " HospitalBedsPer1000 TreatmentType AverageTreatmentCost \n", + " 0 7.58 Medication 21064.0 \\\n", + " 1 5.11 Surgery 47851.0 \n", + " 2 3.49 Vaccination 27834.0 \n", + " 3 8.44 Surgery 144.0 \n", + " 4 5.90 Medication 8908.0 \n", + " 5 0.62 Therapy 42671.0 \n", + " 6 3.31 Surgery 15579.0 \n", + " 7 3.54 Medication 15744.0 \n", + " 8 5.84 Therapy 7669.0 \n", + " 9 6.01 Medication 9468.0 \n", + " \n", + " AvailabilityOfVaccinesTreatment RecoveryRate DALYs ImprovementIn5Years \n", + " 0 No 91.82 4493.0 2.16 \\\n", + " 1 Yes 76.65 2366.0 4.82 \n", + " 2 Yes 98.55 41.0 5.81 \n", + " 3 Yes 67.35 3201.0 2.22 \n", + " 4 Yes 50.06 2832.0 6.93 \n", + " 5 Yes 93.17 416.0 9.83 \n", + " 6 No 92.80 4535.0 0.89 \n", + " 7 Yes 65.45 4584.0 9.81 \n", + " 8 Yes 59.23 2253.0 9.92 \n", + " 9 Yes 93.21 4694.0 2.96 \n", + " \n", + " PerCapitaIncome EducationIndex UrbanizationRate \n", + " 0 16886.0 0.79 86.02 \n", + " 1 80639.0 0.74 45.52 \n", + " 2 12245.0 0.41 40.20 \n", + " 3 49336.0 0.49 58.47 \n", + " 4 47701.0 0.50 48.14 \n", + " 5 29597.0 0.46 56.50 \n", + " 6 60027.0 0.70 20.48 \n", + " 7 23222.0 0.46 66.49 \n", + " 8 30849.0 0.55 41.27 \n", + " 9 68856.0 0.90 83.30 \n", + " \n", + " [10 rows x 23 columns]\n" ] + }, + { + "data": { + "text/html": [ + "
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idCountryYearDiseaseNameDiseaseCategoryPrevalenceRateIncidenceRateMortalityRateAgeGroupGender...HospitalBedsPer1000TreatmentTypeAverageTreatmentCostAvailabilityOfVaccinesTreatmentRecoveryRateDALYsImprovementIn5YearsPerCapitaIncomeEducationIndexUrbanizationRate
01Italy2013MalariaRespiratory0.951.558.420-18Male...7.58Medication21064.0No91.824493.02.1616886.00.7986.02
12France2002EbolaParasitic12.468.638.7561+Male...5.11Surgery47851.0Yes76.652366.04.8280639.00.7445.52
23Turkey2015COVID-19Genetic0.912.356.2236-60Male...3.49Vaccination27834.0Yes98.5541.05.8112245.00.4140.20
34Indonesia2011Parkinson's DiseaseAutoimmune4.686.293.990-18Other...8.44Surgery144.0Yes67.353201.02.2249336.00.4958.47
45Italy2013TuberculosisGenetic0.8313.597.0161+Male...5.90Medication8908.0Yes50.062832.06.9347701.00.5048.14
56Saudi Arabia2011DengueBacterial10.996.494.6461+Female...0.62Therapy42671.0Yes93.17416.09.8329597.00.4656.50
67USA2013MalariaCardiovascular18.426.339.3361+Female...3.31Surgery15579.0No92.804535.00.8960027.00.7020.48
78Nigeria2007TuberculosisNeurological3.485.711.210-18Female...3.54Medication15744.0Yes65.454584.09.8123222.00.4666.49
89Italy2000RabiesChronic15.594.746.3819-35Female...5.84Therapy7669.0Yes59.232253.09.9230849.00.5541.27
910Australia2006CholeraChronic10.122.086.0061+Male...6.01Medication9468.0Yes93.214694.02.9668856.00.9083.30
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" + ], + "text/plain": [ + " id Country Year DiseaseName DiseaseCategory \n", + "0 1 Italy 2013 Malaria Respiratory \\\n", + "1 2 France 2002 Ebola Parasitic \n", + "2 3 Turkey 2015 COVID-19 Genetic \n", + "3 4 Indonesia 2011 Parkinson's Disease Autoimmune \n", + "4 5 Italy 2013 Tuberculosis Genetic \n", + "5 6 Saudi Arabia 2011 Dengue Bacterial \n", + "6 7 USA 2013 Malaria Cardiovascular \n", + "7 8 Nigeria 2007 Tuberculosis Neurological \n", + "8 9 Italy 2000 Rabies Chronic \n", + "9 10 Australia 2006 Cholera Chronic \n", + "\n", + " PrevalenceRate IncidenceRate MortalityRate AgeGroup Gender ... \n", + "0 0.95 1.55 8.42 0-18 Male ... \\\n", + "1 12.46 8.63 8.75 61+ Male ... \n", + "2 0.91 2.35 6.22 36-60 Male ... \n", + "3 4.68 6.29 3.99 0-18 Other ... \n", + "4 0.83 13.59 7.01 61+ Male ... \n", + "5 10.99 6.49 4.64 61+ Female ... \n", + "6 18.42 6.33 9.33 61+ Female ... \n", + "7 3.48 5.71 1.21 0-18 Female ... \n", + "8 15.59 4.74 6.38 19-35 Female ... \n", + "9 10.12 2.08 6.00 61+ Male ... \n", + "\n", + " HospitalBedsPer1000 TreatmentType AverageTreatmentCost \n", + "0 7.58 Medication 21064.0 \\\n", + "1 5.11 Surgery 47851.0 \n", + "2 3.49 Vaccination 27834.0 \n", + "3 8.44 Surgery 144.0 \n", + "4 5.90 Medication 8908.0 \n", + "5 0.62 Therapy 42671.0 \n", + "6 3.31 Surgery 15579.0 \n", + "7 3.54 Medication 15744.0 \n", + "8 5.84 Therapy 7669.0 \n", + "9 6.01 Medication 9468.0 \n", + "\n", + " AvailabilityOfVaccinesTreatment RecoveryRate DALYs ImprovementIn5Years \n", + "0 No 91.82 4493.0 2.16 \\\n", + "1 Yes 76.65 2366.0 4.82 \n", + "2 Yes 98.55 41.0 5.81 \n", + "3 Yes 67.35 3201.0 2.22 \n", + "4 Yes 50.06 2832.0 6.93 \n", + "5 Yes 93.17 416.0 9.83 \n", + "6 No 92.80 4535.0 0.89 \n", + "7 Yes 65.45 4584.0 9.81 \n", + "8 Yes 59.23 2253.0 9.92 \n", + "9 Yes 93.21 4694.0 2.96 \n", + "\n", + " PerCapitaIncome EducationIndex UrbanizationRate \n", + "0 16886.0 0.79 86.02 \n", + "1 80639.0 0.74 45.52 \n", + "2 12245.0 0.41 40.20 \n", + "3 49336.0 0.49 58.47 \n", + "4 47701.0 0.50 48.14 \n", + "5 29597.0 0.46 56.50 \n", + "6 60027.0 0.70 20.48 \n", + "7 23222.0 0.46 66.49 \n", + "8 30849.0 0.55 41.27 \n", + "9 68856.0 0.90 83.30 \n", + "\n", + "[10 rows x 23 columns]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ @@ -263,7 +838,7 @@ "df = pd.read_sql(query, connection)\n", "\n", "# Display the DataFrame\n", - "print(df)\n", + "ic(df)\n", "\n" ] }, From 89c9aed999d8b93214027848fec7c53f026b6a7a Mon Sep 17 00:00:00 2001 From: dbigman Date: Tue, 24 Dec 2024 16:25:25 -0400 Subject: [PATCH 07/10] uploaded! --- Business Challenge EDA and SQL_WHO.ipynb | 2382 +++++++++++----------- WHO_database.sql | 64 +- project-2-eda-sql.code-workspace | 14 +- seeding_GlobalHealth.sql | 63 +- 4 files changed, 1279 insertions(+), 1244 deletions(-) diff --git a/Business Challenge EDA and SQL_WHO.ipynb b/Business Challenge EDA and SQL_WHO.ipynb index 971fc5a..8cf4dd1 100644 --- a/Business Challenge EDA and SQL_WHO.ipynb +++ b/Business Challenge EDA and SQL_WHO.ipynb @@ -1,1191 +1,1191 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Business Challenge: EDA and SQL\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Connected to the WHO_health_data database successfully!\n" - ] - } - ], - "source": [ - "# import pymysql\n", - "from sqlalchemy.orm import sessionmaker\n", - "from sqlalchemy import create_engine\n", - "\n", - "\n", - "\n", - "# Switch to SQLAlchemy, because of UserWarning: \n", - "\n", - "# Database connection settings\n", - "host = \"localhost\" # host, e.g., 127.0.0.1 or a server address\n", - "user = \"root\" # MySQL username\n", - "password = \"Malcomx1\" # MySQL password\n", - "database = \"WHO_health_data\" # database name\n", - "\n", - "# # Establish the connection\n", - "# connection = pymysql.connect(\n", - "# host=host,\n", - "# user=user,\n", - "# password=password,\n", - "# database=database\n", - "# )\n", - "\n", - "# creates a SQLAlchemy engine, which serves as the entry point for interacting with the database\n", - "engine = create_engine(f\"mysql+pymysql://{user}:{password}@{host}/{database}\")\n", - "Session = sessionmaker(bind=engine)\n", - "session = Session()\n", - "\n", - "print(f\"Connected to the {database} database successfully!\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "from sqlalchemy import Column, Integer, String, Float, Text, ForeignKey\n", - "from sqlalchemy.ext.declarative import declarative_base\n", - "\n", - "Base = declarative_base()\n", - "\n", - "class Indicator(Base):\n", - " __tablename__ = 'indicators'\n", - " indicator_id = Column(String(50), primary_key=True)\n", - " indicator_name = Column(Text, nullable=False)\n", - " description = Column(Text)\n", - " source = Column(Text)\n", - "\n", - "class Data(Base):\n", - " __tablename__ = 'data'\n", - " data_id = Column(Integer, primary_key=True, autoincrement=True)\n", - " indicator_id = Column(String(50), ForeignKey('indicators.indicator_id'))\n", - " year = Column(Integer)\n", - " value = Column(Float)\n", - " spatial_dimension = Column(String(50))\n", - " dimension_code = Column(String(50))\n", - "\n", - "class Dimension(Base):\n", - " __tablename__ = 'dimensions'\n", - " dimension_code = Column(String(50), primary_key=True)\n", - " dimension_name = Column(Text, nullable=False)\n", - " description = Column(Text)\n", - "\n", - "class Country(Base):\n", - " __tablename__ = 'countries'\n", - " code = Column(String(50), primary_key=True)\n", - " title = Column(Text, nullable=False)\n", - " region = Column(Text)\n", - " parent_code = Column(String(50))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "Base.metadata.create_all(engine)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dimension 0\n", - "Code 0\n", - "Title 0\n", - "ParentDimension 5\n", - "ParentCode 5\n", - "ParentTitle 5\n", - "dtype: int64\n" - ] - } - ], - "source": [ - "import pandas as pd\n", - "\n", - "# Load the data\n", - "\n", - "hygiene_data = pd.read_csv(r'world_health_statistics\\data\\WSH_HYGIENE_BASIC.csv')\n", - "country_data = pd.read_csv(r'world_health_statistics\\codes\\COUNTRY.csv')\n", - "\n", - "# Check for NaN values\n", - "print(country_data.isnull().sum()) # This will show which columns contain NaN values\n", - "\n", - "# Replace NaN with default values or drop rows with NaN\n", - "# Option 1: Replace NaN with default strings (e.g., \"Unknown\")\n", - "country_data.fillna(\"Unknown\", inplace=True)\n", - "\n", - "# Option 2: Drop rows with NaN values (only if it makes sense to drop them)\n", - "# country_data.dropna(inplace=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "# Close the session\n", - "session.close()\n", - "# Restart the session\n", - "session = Session()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "from sqlalchemy.exc import IntegrityError\n", - "\n", - "for _, row in country_data.iterrows():\n", - " country = Country(\n", - " code=row['Code'],\n", - " title=row['Title'],\n", - " region=row['ParentTitle'],\n", - " parent_code=row['ParentCode']\n", - " )\n", - " session.add(country)\n", - "\n", - "try:\n", - " session.commit()\n", - "except IntegrityError as e:\n", - " session.rollback()\n", - " print(f\"Error: {e}\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "ename": "ProgrammingError", - "evalue": "(pymysql.err.ProgrammingError) nan can not be used with MySQL\n[SQL: INSERT INTO countries (code, title, region, parent_code) VALUES (%(code)s, %(title)s, %(region)s, %(parent_code)s)]\n[parameters: ({'code': 'ABW', 'title': 'Aruba', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'AFG', 'title': 'Afghanistan', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'AGO', 'title': 'Angola', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'AIA', 'title': 'Anguilla', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'ALB', 'title': 'Albania', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'AND', 'title': 'Andorra', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'ARE', 'title': 'United Arab Emirates', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'ARG', 'title': 'Argentina', 'region': 'Americas', 'parent_code': 'AMR'} ... displaying 10 of 233 total bound parameter sets ... {'code': 'ZMB', 'title': 'Zambia', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'ZWE', 'title': 'Zimbabwe', 'region': 'Africa', 'parent_code': 'AFR'})]\n(Background on this error at: https://sqlalche.me/e/14/f405)", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mProgrammingError\u001b[0m Traceback (most recent call last)", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1890\u001b[0m, in \u001b[0;36mConnection._execute_context\u001b[1;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001b[0m\n\u001b[0;32m 1889\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m evt_handled:\n\u001b[1;32m-> 1890\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_executemany\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1891\u001b[0m \u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[0;32m 1892\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1893\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m parameters \u001b[38;5;129;01mand\u001b[39;00m context\u001b[38;5;241m.\u001b[39mno_parameters:\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\dialects\\mysql\\mysqldb.py:183\u001b[0m, in \u001b[0;36mMySQLDialect_mysqldb.do_executemany\u001b[1;34m(self, cursor, statement, parameters, context)\u001b[0m\n\u001b[0;32m 182\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdo_executemany\u001b[39m(\u001b[38;5;28mself\u001b[39m, cursor, statement, parameters, context\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m--> 183\u001b[0m rowcount \u001b[38;5;241m=\u001b[39m \u001b[43mcursor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecutemany\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m context \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:182\u001b[0m, in \u001b[0;36mCursor.executemany\u001b[1;34m(self, query, args)\u001b[0m\n\u001b[0;32m 181\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m q_values[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m q_values[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 182\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_do_execute_many\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 183\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_prefix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_values\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 185\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_postfix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 186\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 187\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_stmt_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 188\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_db\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 189\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 191\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msum\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexecute(query, arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:211\u001b[0m, in \u001b[0;36mCursor._do_execute_many\u001b[1;34m(self, prefix, values, postfix, args, max_stmt_length, encoding)\u001b[0m\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args:\n\u001b[1;32m--> 211\u001b[0m v \u001b[38;5;241m=\u001b[39m values \u001b[38;5;241m%\u001b[39m \u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(v, \u001b[38;5;28mstr\u001b[39m):\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36mCursor._escape_args\u001b[1;34m(self, args, conn)\u001b[0m\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: conn\u001b[38;5;241m.\u001b[39mliteral(val) \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mliteral\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:530\u001b[0m, in \u001b[0;36mConnection.literal\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m 526\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Alias for escape().\u001b[39;00m\n\u001b[0;32m 527\u001b[0m \n\u001b[0;32m 528\u001b[0m \u001b[38;5;124;03mNon-standard, for internal use; do not use this in your applications.\u001b[39;00m\n\u001b[0;32m 529\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m--> 530\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoders\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:523\u001b[0m, in \u001b[0;36mConnection.escape\u001b[1;34m(self, obj, mapping)\u001b[0m\n\u001b[0;32m 522\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ret\n\u001b[1;32m--> 523\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconverters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape_item\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcharset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:25\u001b[0m, in \u001b[0;36mescape_item\u001b[1;34m(val, charset, mapping)\u001b[0m\n\u001b[0;32m 24\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m---> 25\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43mencoder\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 26\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:56\u001b[0m, in \u001b[0;36mescape_float\u001b[1;34m(value, mapping)\u001b[0m\n\u001b[0;32m 55\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m s \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m-inf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnan\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m---> 56\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ProgrammingError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m can not be used with MySQL\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m s)\n\u001b[0;32m 57\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124me\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m s:\n", - "\u001b[1;31mProgrammingError\u001b[0m: nan can not be used with MySQL", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[1;31mProgrammingError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[10], line 13\u001b[0m\n\u001b[0;32m 10\u001b[0m session\u001b[38;5;241m.\u001b[39madd(country)\n\u001b[0;32m 12\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 13\u001b[0m \u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcommit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m IntegrityError:\n\u001b[0;32m 15\u001b[0m session\u001b[38;5;241m.\u001b[39mrollback()\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:1454\u001b[0m, in \u001b[0;36mSession.commit\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1451\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_autobegin():\n\u001b[0;32m 1452\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m sa_exc\u001b[38;5;241m.\u001b[39mInvalidRequestError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo transaction is begun.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m-> 1454\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_transaction\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcommit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m_to_root\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfuture\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:832\u001b[0m, in \u001b[0;36mSessionTransaction.commit\u001b[1;34m(self, _to_root)\u001b[0m\n\u001b[0;32m 830\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_assert_active(prepared_ok\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m 831\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m PREPARED:\n\u001b[1;32m--> 832\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_prepare_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 834\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_parent \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnested:\n\u001b[0;32m 835\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m conn, trans, should_commit, autoclose \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mset\u001b[39m(\n\u001b[0;32m 836\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connections\u001b[38;5;241m.\u001b[39mvalues()\n\u001b[0;32m 837\u001b[0m ):\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:811\u001b[0m, in \u001b[0;36mSessionTransaction._prepare_impl\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 809\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msession\u001b[38;5;241m.\u001b[39m_is_clean():\n\u001b[0;32m 810\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m--> 811\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mflush\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 812\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 813\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mFlushError(\n\u001b[0;32m 814\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOver 100 subsequent flushes have occurred within \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 815\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msession.commit() - is an after_flush() hook \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 816\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcreating new objects?\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 817\u001b[0m )\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:3449\u001b[0m, in \u001b[0;36mSession.flush\u001b[1;34m(self, objects)\u001b[0m\n\u001b[0;32m 3447\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 3448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flushing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m-> 3449\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_flush\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobjects\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 3450\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 3451\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flushing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:3588\u001b[0m, in \u001b[0;36mSession._flush\u001b[1;34m(self, objects)\u001b[0m\n\u001b[0;32m 3585\u001b[0m transaction\u001b[38;5;241m.\u001b[39mcommit()\n\u001b[0;32m 3587\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[1;32m-> 3588\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m util\u001b[38;5;241m.\u001b[39msafe_reraise():\n\u001b[0;32m 3589\u001b[0m transaction\u001b[38;5;241m.\u001b[39mrollback(_capture_exception\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\util\\langhelpers.py:70\u001b[0m, in \u001b[0;36msafe_reraise.__exit__\u001b[1;34m(self, type_, value, traceback)\u001b[0m\n\u001b[0;32m 68\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exc_info \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;66;03m# remove potential circular references\u001b[39;00m\n\u001b[0;32m 69\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mwarn_only:\n\u001b[1;32m---> 70\u001b[0m \u001b[43mcompat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 71\u001b[0m \u001b[43m \u001b[49m\u001b[43mexc_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 72\u001b[0m \u001b[43m \u001b[49m\u001b[43mwith_traceback\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexc_tb\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 73\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 74\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 75\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m compat\u001b[38;5;241m.\u001b[39mpy3k \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exc_info \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exc_info[\u001b[38;5;241m1\u001b[39m]:\n\u001b[0;32m 76\u001b[0m \u001b[38;5;66;03m# emulate Py3K's behavior of telling us when an exception\u001b[39;00m\n\u001b[0;32m 77\u001b[0m \u001b[38;5;66;03m# occurs in an exception handler.\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\util\\compat.py:211\u001b[0m, in \u001b[0;36mraise_\u001b[1;34m(***failed resolving arguments***)\u001b[0m\n\u001b[0;32m 208\u001b[0m exception\u001b[38;5;241m.\u001b[39m__cause__ \u001b[38;5;241m=\u001b[39m replace_context\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 211\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exception\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 213\u001b[0m \u001b[38;5;66;03m# credit to\u001b[39;00m\n\u001b[0;32m 214\u001b[0m \u001b[38;5;66;03m# https://cosmicpercolator.com/2016/01/13/exception-leaks-in-python-2-and-3/\u001b[39;00m\n\u001b[0;32m 215\u001b[0m \u001b[38;5;66;03m# as the __traceback__ object creates a cycle\u001b[39;00m\n\u001b[0;32m 216\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m exception, replace_context, from_, with_traceback\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:3549\u001b[0m, in \u001b[0;36mSession._flush\u001b[1;34m(self, objects)\u001b[0m\n\u001b[0;32m 3547\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_warn_on_events \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m 3548\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 3549\u001b[0m \u001b[43mflush_context\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 3550\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 3551\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_warn_on_events \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\unitofwork.py:456\u001b[0m, in \u001b[0;36mUOWTransaction.execute\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 454\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 455\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m rec \u001b[38;5;129;01min\u001b[39;00m topological\u001b[38;5;241m.\u001b[39msort(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdependencies, postsort_actions):\n\u001b[1;32m--> 456\u001b[0m \u001b[43mrec\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\unitofwork.py:630\u001b[0m, in \u001b[0;36mSaveUpdateAll.execute\u001b[1;34m(self, uow)\u001b[0m\n\u001b[0;32m 628\u001b[0m \u001b[38;5;129m@util\u001b[39m\u001b[38;5;241m.\u001b[39mpreload_module(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msqlalchemy.orm.persistence\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 629\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mexecute\u001b[39m(\u001b[38;5;28mself\u001b[39m, uow):\n\u001b[1;32m--> 630\u001b[0m \u001b[43mutil\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpreloaded\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morm_persistence\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msave_obj\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 631\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 632\u001b[0m \u001b[43m \u001b[49m\u001b[43muow\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstates_for_mapper_hierarchy\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 633\u001b[0m \u001b[43m \u001b[49m\u001b[43muow\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 634\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\persistence.py:245\u001b[0m, in \u001b[0;36msave_obj\u001b[1;34m(base_mapper, states, uowtransaction, single)\u001b[0m\n\u001b[0;32m 233\u001b[0m update \u001b[38;5;241m=\u001b[39m _collect_update_commands(\n\u001b[0;32m 234\u001b[0m uowtransaction, table, states_to_update\n\u001b[0;32m 235\u001b[0m )\n\u001b[0;32m 237\u001b[0m _emit_update_statements(\n\u001b[0;32m 238\u001b[0m base_mapper,\n\u001b[0;32m 239\u001b[0m uowtransaction,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 242\u001b[0m update,\n\u001b[0;32m 243\u001b[0m )\n\u001b[1;32m--> 245\u001b[0m \u001b[43m_emit_insert_statements\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 246\u001b[0m \u001b[43m \u001b[49m\u001b[43mbase_mapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 247\u001b[0m \u001b[43m \u001b[49m\u001b[43muowtransaction\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 248\u001b[0m \u001b[43m \u001b[49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 249\u001b[0m \u001b[43m \u001b[49m\u001b[43mtable\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 250\u001b[0m \u001b[43m \u001b[49m\u001b[43minsert\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 251\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 253\u001b[0m _finalize_insert_update_commands(\n\u001b[0;32m 254\u001b[0m base_mapper,\n\u001b[0;32m 255\u001b[0m uowtransaction,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 271\u001b[0m ),\n\u001b[0;32m 272\u001b[0m )\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\persistence.py:1097\u001b[0m, in \u001b[0;36m_emit_insert_statements\u001b[1;34m(base_mapper, uowtransaction, mapper, table, insert, bookkeeping)\u001b[0m\n\u001b[0;32m 1094\u001b[0m records \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(records)\n\u001b[0;32m 1095\u001b[0m multiparams \u001b[38;5;241m=\u001b[39m [rec[\u001b[38;5;241m2\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m rec \u001b[38;5;129;01min\u001b[39;00m records]\n\u001b[1;32m-> 1097\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_20\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1098\u001b[0m \u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmultiparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexecution_options\u001b[49m\n\u001b[0;32m 1099\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1101\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m bookkeeping:\n\u001b[0;32m 1102\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m (\n\u001b[0;32m 1103\u001b[0m (\n\u001b[0;32m 1104\u001b[0m state,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1113\u001b[0m last_inserted_params,\n\u001b[0;32m 1114\u001b[0m ) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(records, c\u001b[38;5;241m.\u001b[39mcontext\u001b[38;5;241m.\u001b[39mcompiled_parameters):\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1710\u001b[0m, in \u001b[0;36mConnection._execute_20\u001b[1;34m(self, statement, parameters, execution_options)\u001b[0m\n\u001b[0;32m 1706\u001b[0m util\u001b[38;5;241m.\u001b[39mraise_(\n\u001b[0;32m 1707\u001b[0m exc\u001b[38;5;241m.\u001b[39mObjectNotExecutableError(statement), replace_context\u001b[38;5;241m=\u001b[39merr\n\u001b[0;32m 1708\u001b[0m )\n\u001b[0;32m 1709\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 1710\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmeth\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs_10style\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs_10style\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\sql\\elements.py:334\u001b[0m, in \u001b[0;36mClauseElement._execute_on_connection\u001b[1;34m(self, connection, multiparams, params, execution_options, _force)\u001b[0m\n\u001b[0;32m 330\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_execute_on_connection\u001b[39m(\n\u001b[0;32m 331\u001b[0m \u001b[38;5;28mself\u001b[39m, connection, multiparams, params, execution_options, _force\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m 332\u001b[0m ):\n\u001b[0;32m 333\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m _force \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msupports_execution:\n\u001b[1;32m--> 334\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_clauseelement\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 335\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmultiparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\n\u001b[0;32m 336\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 337\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 338\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mObjectNotExecutableError(\u001b[38;5;28mself\u001b[39m)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1577\u001b[0m, in \u001b[0;36mConnection._execute_clauseelement\u001b[1;34m(self, elem, multiparams, params, execution_options)\u001b[0m\n\u001b[0;32m 1565\u001b[0m compiled_cache \u001b[38;5;241m=\u001b[39m execution_options\u001b[38;5;241m.\u001b[39mget(\n\u001b[0;32m 1566\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcompiled_cache\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mengine\u001b[38;5;241m.\u001b[39m_compiled_cache\n\u001b[0;32m 1567\u001b[0m )\n\u001b[0;32m 1569\u001b[0m compiled_sql, extracted_params, cache_hit \u001b[38;5;241m=\u001b[39m elem\u001b[38;5;241m.\u001b[39m_compile_w_cache(\n\u001b[0;32m 1570\u001b[0m dialect\u001b[38;5;241m=\u001b[39mdialect,\n\u001b[0;32m 1571\u001b[0m compiled_cache\u001b[38;5;241m=\u001b[39mcompiled_cache,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1575\u001b[0m linting\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdialect\u001b[38;5;241m.\u001b[39mcompiler_linting \u001b[38;5;241m|\u001b[39m compiler\u001b[38;5;241m.\u001b[39mWARN_LINTING,\n\u001b[0;32m 1576\u001b[0m )\n\u001b[1;32m-> 1577\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_context\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1578\u001b[0m \u001b[43m \u001b[49m\u001b[43mdialect\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1579\u001b[0m \u001b[43m \u001b[49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecution_ctx_cls\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_init_compiled\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1580\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompiled_sql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1581\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1582\u001b[0m \u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1583\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompiled_sql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1584\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1585\u001b[0m \u001b[43m \u001b[49m\u001b[43melem\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1586\u001b[0m \u001b[43m \u001b[49m\u001b[43mextracted_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1587\u001b[0m \u001b[43m \u001b[49m\u001b[43mcache_hit\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_hit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1588\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1589\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m has_events:\n\u001b[0;32m 1590\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdispatch\u001b[38;5;241m.\u001b[39mafter_execute(\n\u001b[0;32m 1591\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m 1592\u001b[0m elem,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1596\u001b[0m ret,\n\u001b[0;32m 1597\u001b[0m )\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1953\u001b[0m, in \u001b[0;36mConnection._execute_context\u001b[1;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001b[0m\n\u001b[0;32m 1950\u001b[0m branched\u001b[38;5;241m.\u001b[39mclose()\n\u001b[0;32m 1952\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m-> 1953\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_handle_dbapi_exception\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1954\u001b[0m \u001b[43m \u001b[49m\u001b[43me\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[0;32m 1955\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1957\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:2134\u001b[0m, in \u001b[0;36mConnection._handle_dbapi_exception\u001b[1;34m(self, e, statement, parameters, cursor, context)\u001b[0m\n\u001b[0;32m 2132\u001b[0m util\u001b[38;5;241m.\u001b[39mraise_(newraise, with_traceback\u001b[38;5;241m=\u001b[39mexc_info[\u001b[38;5;241m2\u001b[39m], from_\u001b[38;5;241m=\u001b[39me)\n\u001b[0;32m 2133\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m should_wrap:\n\u001b[1;32m-> 2134\u001b[0m \u001b[43mutil\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2135\u001b[0m \u001b[43m \u001b[49m\u001b[43msqlalchemy_exception\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwith_traceback\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexc_info\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfrom_\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43me\u001b[49m\n\u001b[0;32m 2136\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2137\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 2138\u001b[0m util\u001b[38;5;241m.\u001b[39mraise_(exc_info[\u001b[38;5;241m1\u001b[39m], with_traceback\u001b[38;5;241m=\u001b[39mexc_info[\u001b[38;5;241m2\u001b[39m])\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\util\\compat.py:211\u001b[0m, in \u001b[0;36mraise_\u001b[1;34m(***failed resolving arguments***)\u001b[0m\n\u001b[0;32m 208\u001b[0m exception\u001b[38;5;241m.\u001b[39m__cause__ \u001b[38;5;241m=\u001b[39m replace_context\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 211\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exception\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 213\u001b[0m \u001b[38;5;66;03m# credit to\u001b[39;00m\n\u001b[0;32m 214\u001b[0m \u001b[38;5;66;03m# https://cosmicpercolator.com/2016/01/13/exception-leaks-in-python-2-and-3/\u001b[39;00m\n\u001b[0;32m 215\u001b[0m \u001b[38;5;66;03m# as the __traceback__ object creates a cycle\u001b[39;00m\n\u001b[0;32m 216\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m exception, replace_context, from_, with_traceback\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1890\u001b[0m, in \u001b[0;36mConnection._execute_context\u001b[1;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001b[0m\n\u001b[0;32m 1888\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[0;32m 1889\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m evt_handled:\n\u001b[1;32m-> 1890\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_executemany\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1891\u001b[0m \u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[0;32m 1892\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1893\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m parameters \u001b[38;5;129;01mand\u001b[39;00m context\u001b[38;5;241m.\u001b[39mno_parameters:\n\u001b[0;32m 1894\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdialect\u001b[38;5;241m.\u001b[39m_has_events:\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\dialects\\mysql\\mysqldb.py:183\u001b[0m, in \u001b[0;36mMySQLDialect_mysqldb.do_executemany\u001b[1;34m(self, cursor, statement, parameters, context)\u001b[0m\n\u001b[0;32m 182\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdo_executemany\u001b[39m(\u001b[38;5;28mself\u001b[39m, cursor, statement, parameters, context\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m--> 183\u001b[0m rowcount \u001b[38;5;241m=\u001b[39m \u001b[43mcursor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecutemany\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m context \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 185\u001b[0m context\u001b[38;5;241m.\u001b[39m_rowcount \u001b[38;5;241m=\u001b[39m rowcount\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:182\u001b[0m, in \u001b[0;36mCursor.executemany\u001b[1;34m(self, query, args)\u001b[0m\n\u001b[0;32m 180\u001b[0m q_postfix \u001b[38;5;241m=\u001b[39m m\u001b[38;5;241m.\u001b[39mgroup(\u001b[38;5;241m3\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 181\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m q_values[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m q_values[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 182\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_do_execute_many\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 183\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_prefix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_values\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 185\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_postfix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 186\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 187\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_stmt_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 188\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_db\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 189\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 191\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msum\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexecute(query, arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n\u001b[0;32m 192\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:211\u001b[0m, in \u001b[0;36mCursor._do_execute_many\u001b[1;34m(self, prefix, values, postfix, args, max_stmt_length, encoding)\u001b[0m\n\u001b[0;32m 209\u001b[0m rows \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args:\n\u001b[1;32m--> 211\u001b[0m v \u001b[38;5;241m=\u001b[39m values \u001b[38;5;241m%\u001b[39m \u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(v, \u001b[38;5;28mstr\u001b[39m):\n\u001b[0;32m 213\u001b[0m v \u001b[38;5;241m=\u001b[39m v\u001b[38;5;241m.\u001b[39mencode(encoding, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msurrogateescape\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36mCursor._escape_args\u001b[1;34m(self, args, conn)\u001b[0m\n\u001b[0;32m 102\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mtuple\u001b[39m(conn\u001b[38;5;241m.\u001b[39mliteral(arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: conn\u001b[38;5;241m.\u001b[39mliteral(val) \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n\u001b[0;32m 108\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m conn\u001b[38;5;241m.\u001b[39mescape(args)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 102\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mtuple\u001b[39m(conn\u001b[38;5;241m.\u001b[39mliteral(arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mliteral\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n\u001b[0;32m 108\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m conn\u001b[38;5;241m.\u001b[39mescape(args)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:530\u001b[0m, in \u001b[0;36mConnection.literal\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m 525\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mliteral\u001b[39m(\u001b[38;5;28mself\u001b[39m, obj):\n\u001b[0;32m 526\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Alias for escape().\u001b[39;00m\n\u001b[0;32m 527\u001b[0m \n\u001b[0;32m 528\u001b[0m \u001b[38;5;124;03m Non-standard, for internal use; do not use this in your applications.\u001b[39;00m\n\u001b[0;32m 529\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 530\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoders\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:523\u001b[0m, in \u001b[0;36mConnection.escape\u001b[1;34m(self, obj, mapping)\u001b[0m\n\u001b[0;32m 521\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_binary\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m ret\n\u001b[0;32m 522\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ret\n\u001b[1;32m--> 523\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconverters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape_item\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcharset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:25\u001b[0m, in \u001b[0;36mescape_item\u001b[1;34m(val, charset, mapping)\u001b[0m\n\u001b[0;32m 23\u001b[0m val \u001b[38;5;241m=\u001b[39m encoder(val, charset, mapping)\n\u001b[0;32m 24\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m---> 25\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43mencoder\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 26\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:56\u001b[0m, in \u001b[0;36mescape_float\u001b[1;34m(value, mapping)\u001b[0m\n\u001b[0;32m 54\u001b[0m s \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mrepr\u001b[39m(value)\n\u001b[0;32m 55\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m s \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m-inf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnan\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m---> 56\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ProgrammingError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m can not be used with MySQL\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m s)\n\u001b[0;32m 57\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124me\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m s:\n\u001b[0;32m 58\u001b[0m s \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124me0\u001b[39m\u001b[38;5;124m\"\u001b[39m\n", - "\u001b[1;31mProgrammingError\u001b[0m: (pymysql.err.ProgrammingError) nan can not be used with MySQL\n[SQL: INSERT INTO countries (code, title, region, parent_code) VALUES (%(code)s, %(title)s, %(region)s, %(parent_code)s)]\n[parameters: ({'code': 'ABW', 'title': 'Aruba', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'AFG', 'title': 'Afghanistan', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'AGO', 'title': 'Angola', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'AIA', 'title': 'Anguilla', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'ALB', 'title': 'Albania', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'AND', 'title': 'Andorra', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'ARE', 'title': 'United Arab Emirates', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'ARG', 'title': 'Argentina', 'region': 'Americas', 'parent_code': 'AMR'} ... displaying 10 of 233 total bound parameter sets ... {'code': 'ZMB', 'title': 'Zambia', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'ZWE', 'title': 'Zimbabwe', 'region': 'Africa', 'parent_code': 'AFR'})]\n(Background on this error at: https://sqlalche.me/e/14/f405)" - ] - } - ], - "source": [ - "from sqlalchemy.exc import IntegrityError\n", - "\n", - "for _, row in country_data.iterrows():\n", - " country = Country(\n", - " code=row['Code'],\n", - " title=row['Title'],\n", - " region=row['ParentTitle'],\n", - " parent_code=row['ParentCode']\n", - " )\n", - " session.add(country)\n", - "\n", - "try:\n", - " session.commit()\n", - "except IntegrityError:\n", - " session.rollback()\n", - " print(\"Duplicate entries skipped.\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " id Country Year DiseaseName DiseaseCategory \\\n", - "0 3 Turkey 2015 COVID-19 Genetic \n", - "1 11 Canada 2011 Leprosy Cardiovascular \n", - "2 23 South Africa 2014 Malaria Bacterial \n", - "3 38 Turkey 2006 Malaria Cardiovascular \n", - "4 43 Indonesia 2000 Rabies Bacterial \n", - "... ... ... ... ... ... \n", - "19986 99980 Australia 2017 Hypertension Neurological \n", - "19987 99984 UK 2010 Measles Metabolic \n", - "19988 99985 Canada 2001 Alzheimer's Disease Bacterial \n", - "19989 99986 South Korea 2004 Measles Respiratory \n", - "19990 99987 Russia 2005 Asthma Chronic \n", - "\n", - " PrevalenceRate IncidenceRate MortalityRate AgeGroup Gender ... \\\n", - "0 0.91 2.35 6.22 36-60 Male ... \n", - "1 11.15 0.60 2.97 36-60 Female ... \n", - "2 5.94 4.29 2.36 61+ Female ... \n", - "3 10.53 2.50 5.09 0-18 Male ... \n", - "4 1.22 13.78 3.90 0-18 Male ... \n", - "... ... ... ... ... ... ... \n", - "19986 2.55 0.84 6.96 19-35 Male ... \n", - "19987 16.48 3.29 6.63 36-60 Male ... \n", - "19988 15.71 10.18 5.12 36-60 Male ... \n", - "19989 1.10 10.82 6.33 36-60 Male ... \n", - "19990 10.69 7.84 4.42 61+ Other ... \n", - "\n", - " HospitalBedsPer1000 TreatmentType AverageTreatmentCost \\\n", - "0 3.49 Vaccination 27834.0 \n", - "1 1.99 Surgery 19993.0 \n", - "2 6.88 Therapy 14578.0 \n", - "3 2.95 Vaccination 29311.0 \n", - "4 3.53 Therapy 45214.0 \n", - "... ... ... ... \n", - "19986 1.05 Surgery 15056.0 \n", - "19987 6.46 Therapy 7088.0 \n", - "19988 3.28 Medication 42658.0 \n", - "19989 2.97 Therapy 5205.0 \n", - "19990 8.89 Medication 2377.0 \n", - "\n", - " AvailabilityOfVaccinesTreatment RecoveryRate DALYs \\\n", - "0 Yes 98.55 41.0 \n", - "1 Yes 76.16 4238.0 \n", - "2 Yes 72.97 433.0 \n", - "3 Yes 93.53 110.0 \n", - "4 Yes 97.84 4746.0 \n", - "... ... ... ... \n", - "19986 Yes 89.41 680.0 \n", - "19987 No 63.23 399.0 \n", - "19988 Yes 82.12 3051.0 \n", - "19989 Yes 87.74 382.0 \n", - "19990 Yes 50.31 2814.0 \n", - "\n", - " ImprovementIn5Years PerCapitaIncome EducationIndex UrbanizationRate \n", - "0 5.81 12245.0 0.41 40.20 \n", - "1 1.23 44699.0 0.58 51.50 \n", - "2 1.40 52974.0 0.53 43.97 \n", - "3 6.45 51865.0 0.74 58.38 \n", - "4 3.30 24147.0 0.73 79.39 \n", - "... ... ... ... ... \n", - "19986 1.71 37060.0 0.64 47.46 \n", - "19987 1.14 73707.0 0.60 45.20 \n", - "19988 2.52 52542.0 0.61 47.49 \n", - "19989 3.38 67734.0 0.83 76.76 \n", - "19990 3.43 44723.0 0.81 72.82 \n", - "\n", - "[19991 rows x 23 columns]\n" - ] - } - ], - "source": [ - "# Switch to SQLAlchemy, because of UserWarning: \n", - "\n", - "import pandas as pd\n", - "\n", - "query = \"\"\"\n", - "SELECT *\n", - "FROM HealthStatistics\n", - "WHERE RAND() <= 0.2;\n", - "\"\"\"\n", - "\n", - "df_healtstatistics_sample = pd.read_sql(query, engine)\n", - "\n", - "print(df_healtstatistics_sample)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " id Country Year DiseaseName DiseaseCategory PrevalenceRate \\\n", - "0 105 Australia 2020 Malaria Genetic 12.89 \n", - "1 486 Nigeria 2020 Malaria Bacterial 18.91 \n", - "2 1200 China 2020 Malaria Neurological 7.81 \n", - "3 1325 Argentina 2020 Malaria Autoimmune 2.21 \n", - "4 1544 Australia 2020 Malaria Metabolic 1.60 \n", - ".. ... ... ... ... ... ... \n", - "196 99253 South Africa 2020 Malaria Respiratory 9.22 \n", - "197 99350 Turkey 2020 Malaria Bacterial 7.57 \n", - "198 99402 India 2020 Malaria Metabolic 13.16 \n", - "199 99406 Mexico 2020 Malaria Genetic 1.28 \n", - "200 99475 Indonesia 2020 Malaria Metabolic 15.20 \n", - "\n", - " IncidenceRate MortalityRate AgeGroup Gender ... HospitalBedsPer1000 \\\n", - "0 12.34 1.52 36-60 Other ... 5.35 \n", - "1 13.31 1.37 61+ Female ... 7.57 \n", - "2 2.24 8.67 61+ Female ... 2.86 \n", - "3 10.05 7.41 19-35 Other ... 2.04 \n", - "4 0.84 5.24 19-35 Male ... 7.22 \n", - ".. ... ... ... ... ... ... \n", - "196 13.76 9.81 19-35 Male ... 5.95 \n", - "197 10.89 6.23 0-18 Other ... 9.79 \n", - "198 4.00 6.32 61+ Other ... 9.47 \n", - "199 13.18 1.02 61+ Other ... 9.76 \n", - "200 3.84 0.54 36-60 Female ... 7.74 \n", - "\n", - " TreatmentType AverageTreatmentCost AvailabilityOfVaccinesTreatment \\\n", - "0 Medication 9153.0 Yes \n", - "1 Vaccination 40849.0 No \n", - "2 Surgery 29742.0 No \n", - "3 Medication 25557.0 No \n", - "4 Vaccination 14504.0 Yes \n", - ".. ... ... ... \n", - "196 Surgery 13942.0 No \n", - "197 Therapy 18890.0 Yes \n", - "198 Therapy 22365.0 Yes \n", - "199 Surgery 22522.0 Yes \n", - "200 Therapy 27101.0 No \n", - "\n", - " RecoveryRate DALYs ImprovementIn5Years PerCapitaIncome EducationIndex \\\n", - "0 85.70 3411.0 1.03 13201.0 0.62 \n", - "1 56.59 4604.0 0.13 35250.0 0.89 \n", - "2 55.98 1288.0 8.50 5954.0 0.83 \n", - "3 77.72 4074.0 7.04 99936.0 0.54 \n", - "4 67.36 391.0 9.61 24293.0 0.81 \n", - ".. ... ... ... ... ... \n", - "196 97.84 2531.0 6.81 84482.0 0.67 \n", - "197 67.85 4101.0 4.88 39904.0 0.59 \n", - "198 81.07 105.0 6.68 67995.0 0.67 \n", - "199 65.91 4689.0 0.86 31437.0 0.44 \n", - "200 78.98 4520.0 0.86 59791.0 0.74 \n", - "\n", - " UrbanizationRate \n", - "0 34.93 \n", - "1 35.01 \n", - "2 85.54 \n", - "3 31.58 \n", - "4 41.08 \n", - ".. ... \n", - "196 46.73 \n", - "197 21.95 \n", - "198 38.27 \n", - "199 54.71 \n", - "200 89.86 \n", - "\n", - "[201 rows x 23 columns]\n" - ] - } - ], - "source": [ - "# Switch to SQLAlchemy, because of UserWarning: \n", - "\n", - "# Trying a filter for Malaria in 2020\n", - "query = \"\"\"\n", - "SELECT *\n", - "FROM HealthStatistics\n", - "WHERE Year = 2020 AND DiseaseName = 'Malaria';\n", - "\"\"\"\n", - "df_filtered = pd.read_sql(query, engine)\n", - "\n", - "print(df_filtered)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data retrieved successfully!\n", - "\n", - "Top Infectious Diseases by Prevalence:\n", - " Avg_Prevalence Total_Prevalence\n", - "DiseaseName \n", - "Polio 11.092771 920.70\n", - "Influenza 10.972241 1272.78\n", - "Ebola 10.409245 1103.38\n", - "Malaria 10.408333 1124.10\n", - "Asthma 10.332857 1012.62\n", - "Measles 10.321685 918.63\n", - "HIV/AIDS 10.213814 990.74\n", - "Dengue 10.173448 885.09\n", - "Alzheimer's Disease 10.101000 909.09\n", - "Parkinson's Disease 10.025934 912.36\n", - "\n", - "Change in Prevalence Rates Over the Last 5 Years:\n", - " Initial_Prevalence Latest_Prevalence \\\n", - "DiseaseName \n", - "Cholera 7.85 17.66 \n", - "Parkinson's Disease 12.31 18.03 \n", - "Hepatitis 0.60 5.59 \n", - "Zika 14.62 18.20 \n", - "Malaria 14.16 17.55 \n", - "Tuberculosis 0.92 4.20 \n", - "Leprosy 16.01 17.26 \n", - "COVID-19 14.88 14.77 \n", - "HIV/AIDS 4.56 4.32 \n", - "Asthma 14.70 13.25 \n", - "\n", - " Change_in_Prevalence \n", - "DiseaseName \n", - "Cholera 9.81 \n", - "Parkinson's Disease 5.72 \n", - "Hepatitis 4.99 \n", - "Zika 3.58 \n", - "Malaria 3.39 \n", - "Tuberculosis 3.28 \n", - "Leprosy 1.25 \n", - "COVID-19 -0.11 \n", - "HIV/AIDS -0.24 \n", - "Asthma -1.45 \n" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Question 1:\n", - "# Which infectious diseases have the highest prevalence rates globally, and how have these rates changed over the past 5 years?\n", - "\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# SQL query to fetch data\n", - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " DiseaseCategory,\n", - " Year,\n", - " PrevalenceRate\n", - "FROM HealthStatistics\n", - "WHERE\n", - " DiseaseCategory = 'Infectious'\n", - " AND Year BETWEEN 2020 AND 2024\n", - "ORDER BY\n", - " Year DESC;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a pandas DataFrame\n", - "df_question1 = pd.read_sql(query, engine)\n", - "\n", - "# Analyze the data\n", - "# Step 1: Group data to find the highest average prevalence rates globally\n", - "highest_prevalence = (\n", - " df_question1.groupby(\"DiseaseName\")\n", - " .agg(\n", - " Avg_Prevalence=(\"PrevalenceRate\", \"mean\"),\n", - " Total_Prevalence=(\"PrevalenceRate\", \"sum\")\n", - " )\n", - " .sort_values(by=\"Avg_Prevalence\", ascending=False)\n", - ")\n", - "\n", - "# Step 2: Analyze the change in prevalence rates over the last 5 years\n", - "recent_years = df_question1[df_question1['Year'] >= df_question1['Year'].max() - 5]\n", - "\n", - "prevalence_change = (\n", - " recent_years.groupby(\"DiseaseName\")\n", - " .agg(\n", - " Initial_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[0]),\n", - " Latest_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[-1])\n", - " )\n", - " .assign(Change_in_Prevalence=lambda x: x[\"Latest_Prevalence\"] - x[\"Initial_Prevalence\"])\n", - " .sort_values(by=\"Change_in_Prevalence\", ascending=False)\n", - ")\n", - "\n", - "# Step 3: Merge both results\n", - "result = highest_prevalence.merge(prevalence_change, on=\"DiseaseName\", how=\"inner\")\n", - "\n", - "# Display results\n", - "print(\"\\nTop Infectious Diseases by Prevalence:\")\n", - "print(highest_prevalence.head(10))\n", - "\n", - "print(\"\\nChange in Prevalence Rates Over the Last 5 Years:\")\n", - "print(prevalence_change.head(10))\n", - "\n", - "# Step 4: Sort data by year\n", - "df_question1_sorted = df_question1.sort_values(by='Year')\n", - "\n", - "# Step 5: Select top 5 diseases by highest average prevalence rates\n", - "top_diseases = highest_prevalence.head(5).index\n", - "\n", - "# Filter data for the top 5 diseases\n", - "top_diseases_data = df_question1_sorted[df_question1_sorted['DiseaseName'].isin(top_diseases)]\n", - "\n", - "# Aggregate data by DiseaseName and Year\n", - "aggregated_data = (\n", - " top_diseases_data.groupby(['DiseaseName', 'Year'])\n", - " .agg({'PrevalenceRate': 'mean'})\n", - " .reset_index()\n", - ")\n", - "\n", - "# Plot the aggregated data\n", - "sns.set_theme(style=\"whitegrid\")\n", - "plt.figure(figsize=(12, 7))\n", - "palette = sns.color_palette(\"husl\", len(top_diseases)) # colorful theme\n", - "\n", - "for i, (disease, group) in enumerate(aggregated_data.groupby('DiseaseName')):\n", - " plt.plot(group['Year'], group['PrevalenceRate'], \n", - " marker='o', label=disease, color=palette[i], linewidth=2.5)\n", - "\n", - "# Add labels and title\n", - "plt.title('Prevalence Rate per Year for Top 5 Diseases', fontsize=16, weight='bold')\n", - "plt.xlabel('Year', fontsize=14)\n", - "plt.ylabel('Prevalence Rate', fontsize=14)\n", - "plt.xticks(sorted(aggregated_data['Year'].unique()), fontsize=12, rotation=45)\n", - "plt.yticks(fontsize=12)\n", - "plt.legend(title=\"Disease Name\", fontsize=12, title_fontsize=14)\n", - "plt.grid(True, which='major', linestyle='--', linewidth=0.5, alpha=0.7)\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1944517882.py:25: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " return pd.read_sql(query, connection, params=params)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", - " grouped_vals = vals.groupby(grouper)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", - " grouped_vals = vals.groupby(grouper)\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Question 2:\n", - "# Which age groups and genders are most affected by high-prevalence infectious diseases? \n", - "# Are there significant disparities?\n", - "\n", - "def get_high_prevalence_data(connection: pymysql.connections.Connection, diseasecategory: str) -> pd.DataFrame:\n", - " \"\"\" \n", - " This function queries the `HealthStatistics` table to compute the average prevalence rate and \n", - " the total affected population for each combination of age group and gender within the specified \n", - " disease category. It filters the data to include only those entries where the prevalence rate \n", - " is greater than the average prevalence rate.\n", - "\n", - " Args:\n", - " connection (pymysql.connections.Connection): A valid database connection created with PyMySQL.\n", - " diseasecategory (str): The disease category to filter on (e.g., 'Infectious').\n", - "\n", - " Returns:\n", - " pd.DataFrame: A pandas DataFrame containing columns:\n", - " - `AgeGroup`: The age group.\n", - " - `Gender`: The gender (Male, Female, Other).\n", - " - `AvgPrevalence`: The average prevalence rate for the group.\n", - " - `TotalAffected`: The total population affected for the group.\n", - " \"\"\"\n", - " \n", - " \n", - " query = \"\"\"\n", - " SELECT\n", - " AgeGroup,\n", - " Gender,\n", - " AVG(PrevalenceRate) AS AvgPrevalence,\n", - " SUM(PopulationAffected) AS TotalAffected\n", - " FROM HealthStatistics\n", - " WHERE\n", - " DiseaseCategory = %s\n", - " AND PrevalenceRate > (\n", - " SELECT AVG(PrevalenceRate)\n", - " FROM HealthStatistics\n", - " WHERE DiseaseCategory = %s\n", - " )\n", - " GROUP BY AgeGroup, Gender\n", - " ORDER BY AvgPrevalence DESC;\n", - " \"\"\"\n", - " params = (diseasecategory, diseasecategory)\n", - " return pd.read_sql(query, connection, params=params)\n", - "\n", - "# Call the function\n", - "df_question2 = get_high_prevalence_data(connection, 'Infectious')\n", - "\n", - "# df_question2 = pd.read_sql(query_2, connection)\n", - "\n", - "age_order = ['0-18', '19-35', '36-60', '61+']\n", - "\n", - "df_question2['AgeGroup'] = pd.Categorical(df_question2['AgeGroup'], categories=age_order, ordered=True)\n", - "\n", - "# Plot the graph with the updated order\n", - "plt.figure(figsize=(10, 6))\n", - "sns.barplot(\n", - " data=df_question2,\n", - " x=\"AgeGroup\",\n", - " y=\"AvgPrevalence\",\n", - " hue=\"Gender\",\n", - " palette=\"viridis\"\n", - ")\n", - "plt.title(\"Prevalence Rate of by Age Group and Gender\")\n", - "plt.xlabel(\"Age Group\")\n", - "plt.ylabel(\"Average Prevalence Rate (%)\")\n", - "plt.xticks(rotation=45)\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1639260823.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_question3 = pd.read_sql(query_3, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName AvgHealthcareAccess AvgDoctorsPer1000 \\\n", - "0 Malaria 74.786759 2.732954 \n", - "1 Ebola 74.704818 2.778387 \n", - "2 COVID-19 74.702642 2.706471 \n", - "3 Parkinson's Disease 74.792696 2.742936 \n", - "4 Tuberculosis 74.985969 2.764276 \n", - "\n", - " AvgRecoveryRate \n", - "0 74.801839 \n", - "1 74.398003 \n", - "2 74.255789 \n", - "3 74.335690 \n", - "4 74.538776 \n", - " AvgHealthcareAccess AvgDoctorsPer1000 AvgRecoveryRate\n", - "AvgHealthcareAccess 1.000000 -0.087803 0.336193\n", - "AvgDoctorsPer1000 -0.087803 1.000000 -0.058986\n", - "AvgRecoveryRate 0.336193 -0.058986 1.000000\n" - ] - }, - { - "data": { - "image/png": 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", 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Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n", - " self._figure.tight_layout(*args, **kwargs)\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Question 3: \n", - "# Is there a correlation between healthcare access, the number of doctors per 1000 people, \n", - "# and the recovery rate for specific diseases?\n", - "\n", - "query_3 = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AVG(HealthcareAccess) AS AvgHealthcareAccess,\n", - " AVG(DoctorsPer1000) AS AvgDoctorsPer1000,\n", - " AVG(RecoveryRate) AS AvgRecoveryRate\n", - "FROM HealthStatistics\n", - "GROUP BY DiseaseName;\n", - "\"\"\"\n", - "\n", - "df_question3 = pd.read_sql(query_3, connection)\n", - "print(df_question3.head())\n", - "\n", - "correlation_matrix = df_question3[[\n", - " 'AvgHealthcareAccess',\n", - " 'AvgDoctorsPer1000',\n", - " 'AvgRecoveryRate'\n", - "]].corr()\n", - "\n", - "print(correlation_matrix)\n", - "\n", - "plt.figure(figsize=(8, 6))\n", - "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", - "plt.title(\"Correlation Between Healthcare Access, Doctors, and Recovery Rate\")\n", - "plt.show()\n", - "\n", - "\n", - "sns.pairplot(\n", - " df_question3,\n", - " vars=['AvgHealthcareAccess', 'AvgDoctorsPer1000', 'AvgRecoveryRate'],\n", - " kind=\"reg\"\n", - ")\n", - "plt.suptitle(\"Relationships Between Healthcare Access, Doctors, and Recovery Rate\", y=1.02)\n", - "plt.show()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\3706241603.py:17: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_question4 = pd.read_sql(query_4, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", - "0 Malaria 5.148557 51036.541119 0.656155\n", - "1 Hepatitis 5.111002 50134.584410 0.648586\n", - "2 Rabies 5.087610 50758.945881 0.648486\n", - "3 Tuberculosis 5.085437 49793.941319 0.650789\n", - "4 Measles 5.082200 50287.037513 0.649193\n", - " AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", - "AvgMortalityRate 1.000000 0.119010 0.742968\n", - "AvgPerCapitaIncome 0.119010 1.000000 0.346141\n", - "AvgEducationIndex 0.742968 0.346141 1.000000\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Question 4: \n", - "# Which infectious diseases have the highest mortality rates, and how do socioeconomic factors \n", - "# (e.g., per capita income, education index) influence these rates?\n", - "\n", - "query_4 = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AVG(MortalityRate) AS AvgMortalityRate,\n", - " AVG(PerCapitaIncome) AS AvgPerCapitaIncome,\n", - " AVG(EducationIndex) AS AvgEducationIndex\n", - "FROM HealthStatistics\n", - "GROUP BY DiseaseName\n", - "ORDER BY AvgMortalityRate DESC\n", - "LIMIT 10;\n", - "\"\"\"\n", - "\n", - "df_question4 = pd.read_sql(query_4, connection)\n", - "# df_question4.describe()\n", - "print(df_question4.head())\n", - "\n", - "\n", - "# Calculate correlations\n", - "correlation_matrix = df_question4[[\n", - " 'AvgMortalityRate', \n", - " 'AvgPerCapitaIncome', \n", - " 'AvgEducationIndex'\n", - "]].corr()\n", - "\n", - "print(correlation_matrix)\n", - "\n", - "plt.figure(figsize=(8, 6))\n", - "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", - "plt.title(\"Correlation Between Mortality Rate and Socioeconomic Factors\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1616853608.py:18: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_urbanization = pd.read_sql(query, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " AvgUrbanizationRate AvgIncidenceRate AvgPrevalenceRate\n", - "AvgUrbanizationRate 1.000000 0.344218 0.162751\n", - "AvgIncidenceRate 0.344218 1.000000 -0.181572\n", - "AvgPrevalenceRate 0.162751 -0.181572 1.000000\n" - ] - }, - { - "data": { - "image/png": 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yOf777z88f/4cjx8/xtOnT5XuDQCoXLmy4nsi/dhA2r1vZGSE+/fvY8SIEUqvadq0KRYtWqTWdeZEhQoVYG5ujkGDBqFJkyaoV68e6tSpo2gxVPcz1bp1a7Ru3RpJSUl49uwZnj9/jgcPHiA1NRXJyckA0j4fS5YsQYsWLdC4cWPUr18fdevWVXw3BAcHIzExEQ0bNlR679K7Oi9cuIAKFSpkeT2lSpWCk5MTjh8/rhh3d/To0Uw/95cuXYJEIkH9+vVVznfo0CE8evQo089Luqz23bp1CykpKfD09FQqnzx5suLfNWvWhJ+fH0JCQlCvXj3Ur19frVm5RNlhcqdBpqamKFiwIF69evXVOvHx8UhOToapqamiG7JYsWJKdfT09FC4cGFFlwgAFCxYMNPjpXfvpvv48SOeP3+u1HXwucx+SUVFRWHatGk4efIkJBIJrKysUL16dQDqr+0k5lq+7LJOTz4+H5eTGX19fVSuXFmprFatWtDT08PSpUvRp08fFC1aFHK5HOvXr8f69etVjvHlDLrP1a9fHwcPHgSQ9qXfqFEjlCxZEgcPHoRMJsM///yDevXqQU9PT7G0xIwZMzBjxgyVY0VERABI+/9x9OhRpTE86dJnLqYzNDRU+llHRyfL9z/9ffxagpNe/uX7/eU9AwBFixZVKStSpAiio6MBiLtHxF4HkDbsYMaMGejevbvKDOZ//vkHPj4+ePr0KQoWLAg7OzvFNYi5P8uUKaNSnn7d6dcJqL5f6sS/adMmrFmzBh8/fkTRokXh4OAAIyMjpfv+a8cGMmZ/C4KAwoULK9UpXrx4NleXvTdv3gBApn8gFixYENu3b8fq1atx7NgxBAYGwtDQEK1atcLkyZMRHR2t1mcqMTERs2bNwsGDB5GSkoLSpUvD2dkZenp6ivfP2dkZ69atw+bNm7Fp0yasW7cORYsWxaBBg9CjRw/F52rAgAGZXkf65yo7TZs2xbJlyxSJ5n///YcmTZqo1Pv48SMEQUDVqlW/er6sErjMPkufHxtQ/Zx/bsmSJVizZg2OHTuGP//8Ezo6OqhduzZmzpyp8ocIkRhM7jSsbt26uHLlSqZT8QFg9+7dmDdvHvbu3QtTU1MAQGRkpNIHOX082Zdf8uowMTFBjRo1MH78+Ez36+vrq5SNHTsWT58+xebNm+Hs7Ax9fX0kJCRg9+7dap9XG9eiLgcHBwDA8+fPYWVlBYlEgt69e2c6ePprYyGBtJm3q1atwv3793H//n1MmjQJpUqVQlJSEq5fv44rV64oErlChQoBSBsPVqNGDZVjpb8fJiYmqF27Nvr06aNSR0/v2z5+6Yn0137hvXnzBvr6+opYspLZeMfIyEhFK5wm7pGvCQ8Px7Bhw+Dk5ARvb2+lfS9evMDQoUPh4eGBtWvXokyZMpBIJNi+fTv++ecftc9hamqKyMhIlfL0sm+5P4OCgjB37lyMGzcObdu2VfwyHzFiRKZj3L7GzMwMOjo6KpM3vlyjLicuXryIAgUKfPWPvvLlyysmvty5cwcHDx7Ezp078dNPP6Fz585qfabmzJmDP//8E0uXLkXt2rUViU+tWrWU6terVw/16tVDQkICLl++jK1bt2L27NmoUqWK4nO1cOFClC1bVuVcmf0RkpkmTZpg7ty5+Oeff3D37l24urqiSJEiKvVMTExQoEABbN26NdPjWFlZqXW+zKRfS1RUFMqXL68of/XqFV68eIFq1arBxMQE48aNw7hx4/D06VOcOnUKq1atwowZMxTj8ohyghMqNKxv3774+PEjli5dqrIvMjIS/v7++Pnnn1GpUiVFUnDkyBGlekeOHEFqaiqqVasm+vw1atTAs2fPUK5cOVSuXFmxHTx4EHv37lXqEkp348YNeHp6ombNmorkL332anprWmav+/K8mr4Wdd25cwdA2hexsbExKlasiKdPnypdf4UKFeDn56dY8Dez66lcuTLMzc2xatUqGBgYwMHBAcWLF0f58uWxYsUKJCUl4ZdffgGQ9suwSJEiCA8PVzpPiRIlsGjRIsXs5PQZqfb29oo6Dg4O2Lx5M/76669vum4LCwv89NNPisHqn0tNTcXJkyfh4uKS7f87IO0e+LyV6fbt23j58iVcXV0V+7O7R3IiLi4OgwcPhqGhIZYtW6aS8N67dw9JSUkYMGAAfvrpJ0Urb3pil94ilN4C9jUuLi4IDg7Gy5cvlcoPHTqEYsWKfdMv8Rs3bqBQoULw8vJSJHZxcXG4ceOGqPfGwMAAzs7OOHHihFJL4enTp3McG5C2puOpU6fQrl27TP/gPH78OFxdXREZGQldXV04Oztj+vTpKFSoEF69eqX2Z+rGjRuKJZ/SE7t79+4hKipK8T7MmzcP7dq1gyAIMDIygpubm6Ib8tWrV6hSpQqkUinevn2rdC49PT0sXrw42wW505UoUQLVqlXD8ePHcezYsUyTUiDt8xkfHw9BEJTO9/DhQ6xcuVJpaItYjo6OkEqliiEE6fz9/TF69GhERESgfv36ipm95cuXR//+/VG7du0se3+I1MGWOw1zcnLCiBEjsHTpUjx58gStW7dG4cKF8ejRI2zcuBFJSUmKxO/nn39GmzZtsHz5ciQkJMDFxQUPHjzAihUrULNmTcVsQTF69+6NgwcPonfv3ujbty8KFy6Mo0ePYvfu3SqtIukcHR0RFBSESpUqwcLCAjdv3sS6desgkUgU3bgmJiYA0rorra2tUaVKFaVjaONaviSTyZRmrqakpODq1atYvXq1YgkKABg9ejQGDBiAMWPG4Ndff1XMEL19+zaGDBmidD1///03TE1NYWdnpxibeODAAdStW1eRaNSsWRM7d+5E9erVYWZmBiAtORw1ahSmTp0KXV1duLm5ITo6GqtWrcLbt28VsQwZMgSdO3fGwIED0aVLFxgYGCAwMBAnT57E8uXLv/k9GTt2LEaOHIlBgwahXbt2KFy4MCIiIrBr1y68fPkSc+fOVes4crkcAwYMwKBBg/DhwwcsWrQINjY2iuVh1LlHchr/kydPMHfuXLx8+VJp+RVzc3NUqlQJenp6WLBgAfr27QuZTIb9+/fj77//BgDFWL70VpLDhw+jSpUqKl2wffr0waFDh9C7d28MGzYMZmZmOHDgAC5fvgwfH58c/fJO5+joiJ07d2Lu3Llwc3NDREQENm7ciHfv3qnVavq50aNHo1evXhg2bBg6deqEZ8+eYc2aNWq/Pv3zIQgC4uLicPfuXWzevBlly5ZVGcuXrmrVqpDL5Rg6dCgGDBiAggUL4tixY4iJiVGMF1PnM+Xo6Ihjx45h586dsLa2RmhoKFavXq10j7i6umLTpk2YOHEifv31VyQnJ2PDhg0wMzODq6srzMzM4OXlhWXLliE2NhY1a9bE27dvsWzZMkgkElGLvzdt2hS+vr6QSCQq497S1a9fHy4uLhgyZAiGDBkCa2tr3LlzB8uXL0e9evUUyXqhQoUQHByMS5cuoWLFimqd39zcHD179sTmzZuhr6+PGjVq4Pbt29i5cyfGjx8PS0tLWFhYYPbs2YiNjcVPP/2Ee/fu4ezZsxg4cKDa10mUGSZ3WjB48GBUrFhR8aSKT58+oWTJkmjQoAEGDRqEkiVLKurOmTMHVlZW2LdvH9avX4/ixYujZ8+eGDJkSI5+4ZQoUQK7du3CokWLMH36dCQlJaFs2bKYM2eOYrmIL82dOxezZs3CrFmzAABly5bFjBkzcOjQIcXjuYyNjdGnTx8EBgbi7NmzuHDhgspxNH0tX4qMjESnTp0UP0ulUlhaWqJnz54YOnSoorxu3brYuHEjVqxYgeHDh0MqlaJSpUrYtGmTYrB8hQoV0KJFC0X33uHDhwGkfdkfOHAANWvWVBwvPblr0KCBUjwdOnRAwYIFsWHDBgQGBqJAgQKoWrUqFi5cqEgu7OzssH37dixZsgTjx4+HIAiwsbHBypUrFWsHfovGjRvD398fmzdvxrRp0xAdHQ1zc3O4uLhg9+7d2Q4+T+fh4YFSpUph3LhxSElJgZubGyZNmqRo6VHnHsmJ9FapzJb7aNOmDebOnYtFixZhxYoVGDx4MExNTeHk5ISAgAD06NED169fh62tLTw9PXHw4EFMnDgR7du3x/Tp05WOVaxYMezcuROLFi3C7NmzkZycDDs7O6xateqb/z+0adMG4eHh2LdvH3bs2IESJUqgfv366Nq1K6ZMmYInT54olpzJTvXq1bF+/XosXrwYw4YNQ+nSpeHj44NBgwap9frPPx+GhoYoU6YMunTpAi8vLxgbG2f6muLFi2PDhg1YtmwZJk2ahISEBEWrXHrLrTqfqYkTJyI5ORlLly6FTCZD6dKlMXjwYDx+/BinT59Gamoq6tevj4ULF8Lf3x/Dhg2DRCJBtWrVsHXrVsUfTiNHjkSxYsWwY8cObNiwAaampqhVqxZGjx6t+KNMHU2aNMGcOXPQoEGDr75OR0cH69atw7Jly7B27Vq8f/8eJUqUQJ8+fZS+U7p164Z79+6hf//+8PX1VXsc5Lhx41CkSBHs2rULGzZsQOnSpTFlyhR07twZQNpSKosXL8ayZcvw4cMHlCxZEsOGDfvqmEMidUkEdUckExEREdEPj2PuiIiIiPIRJndERERE+QiTOyIiIqLvYO3atejRo0eWdT58+IAxY8bAxcUFNWrUwIwZM0RPXOOECiIiIiIt2759O5YuXapYAP5rhg8fjoSEBGzevBnR0dGYNGkS4uPjMW/ePLXPxeSOiIiISEvevn2LadOm4cqVK5kuzv254OBgXL16FUePHlXMsp85cya8vLwwevRolChRQq1zsluWiIiISEvu378PqVSKQ4cOqawR+6Xr16+jWLFiSssn1ahRAxKJBDdu3FD7nGy5IyIiIspCduthnjp16qv7GjZsiIYNG6p1nrdv3yqthQukPTbUzMwMr1+/VusYwA+a3B2R2uZ2CEQqSt6/mNshECm5Gab6vFSi3OT17Wuz55hWc4dfSmvv2J9JSEjI9BnwBgYGSEpKUvs4P2RyR0RERPSjyKplTpMMDQ0hk8lUypOSkhTPbFYHkzsiIiLK8yRSSW6H8M0sLCxw8uRJpTKZTIaPHz+q/dg7gBMqiIiIKB/Q0ZNobfteXFxc8ObNGzx//lxRdvXqVQBAtWrV1D4OkzsiIiKiXJCamorIyEgkJiYCAKpUqYKqVati1KhRuHPnDi5fvoypU6eidevWai+DAjC5IyIionxAItXR2qYtr1+/Rt26dXH06NG0a5BIsGLFCpQuXRq9evXCyJEj8csvv2D69OmijisRBEHISUAymQzh4eH46aefIAgCpFJpTg6TKc6WpR8RZ8vSj4azZelHk5uzZf8sUklrx278/r7Wjq0NoidUCIKARYsWISAgAMnJyfjzzz+xZMkSGBkZYfr06RpN8oiIiIjU8T3Hxv3oRLc1BgQE4ODBg5g2bZpiLRYPDw+cPHkSK1as0HiARERERKQ+0cldYGAgpk6dirZt20IiScuSmzVrhtmzZyMoKEjjARIRERFlRyKVaG3La0Qnd+Hh4bC3t1cpt7OzQ2RkpEaCIiIiIqKcET3mztLSEnfv3kXp0sqP4jh37hzKlCmjscCIiIiI1MUxdxlEJ3f9+vXDjBkzEBkZCUEQcOnSJQQGBiIgIAATJ07URoxEREREWcqL3afaIjq5a9euHVJSUrB69WokJiZi6tSpMDc3x8iRI9GlSxdtxEhEREREahKd3L169QodOnRAp06dEBUVBUEQUKRIEaSkpODOnTtwdHTURpxEREREX8Vu2QyiJ1S4u7vj48ePAABzc3MUKZK2iGZ4eDh69Oih0eCIiIiISBy1Wu62b98Of39/AGmLGLdr1w46Osp5YXR0NEqVKqX5CImIiIiyIdFly106tZK7tm3b4sOHDxAEAStXrkSTJk1QsGBBpToFCxaEp6enVoIkIiIiIvWoldwZGRlh2LBhANIeatuvXz8YGRlpNTAiIiIidemw5U5B9ISKYcOGISUlBW/fvkVqaiqAtK5amUyGu3fv4tdff9V4kERERESkHtHJ3fnz5zFhwgRERUWp7DM0NGRyR0RERN+dRIctd+lEz5ZdvHgxKlasiLVr18LQ0BArVqzA77//DmNjYyxYsEAbMRIRERFlSaKro7UtrxHdcvf48WP4+PjAzs4O9vb2KFCgAHr06IECBQpg48aN8PDw0EacRERERKQG0emorq4uTExMAABWVlZ4+PAhAMDV1RVPnjzRbHREREREatDRlWhty2tEJ3cVKlTA6dOnAQDly5fHjRs3AABv3rzRbGREREREJJrobtkBAwZg+PDhkEqlaNGiBfz8/DBgwAD8+++/cHV11UaMRERERFnihIoMolvuPDw8sGfPHjg5OaFkyZLYsGEDdHV14e7ujpkzZ2ojRiIiIiJSk+iWOwCoVKmS4t81atRAjRo1AAD379+HmZmZRgIjIiIiUldeHBunLWond3fu3MGxY8egp6eH5s2bw87OTrEvKSkJS5cuRUBAAO7du6eVQImIiIgoe2old0ePHsXYsWOhr68PPT09bNq0CZs2bYKLiwuCg4Mxfvx4hIWFoW3bttqOl4iIiEiFhC13CmqNuVu/fj08PDxw9epVXL58GZ07d8bSpUtx6tQp9OjRA4IgYNOmTfDx8dF2vEREREQqJDo6WtvyGrUi/u+//zB48GBFy93w4cNx+/ZtTJ48Gb/++isOHTqEWrVqaTtWIiIiIsqGWt2yCQkJKFasmOLnQoUKKcbeTZ48WWvBEREREamDS6FkULutUSKRqPzcqVMnjQdERERERDmXo6VQ0hkaGmoqDiIiIqIc41IoGdRO7oKDg2Fqaqr4WRAE3LlzR+WxYy4uLpqLjoiIiIhEUTu5++233yAIglLZmDFjlH6WSCR48OCBZiIjIiIiUhPH3GVQK7k7deqUtuMgIiIiIg1QK7mztLTUdhxEREREOZYX16PTFtETKuRyOYKCgnDz5k0kJyerdNX6+vpqLDgiIiIiEkd0cufj44Pt27fDzs4OxsbG2oiJiIiISBSOucsgOrkLCgqCj48P2rRpo414iIiIiETjUigZRHdQy2QyLndCRERE9IMSndzVq1cPZ8+e1UYsRERERDki0ZFobctrRHfLOjk5YcGCBbh06RKsra0hlUqV9g8bNkxjwRERERGROKKTu23btsHc3BwhISEICQlR2ieRSJjcERER0XfHpVAyiE7uTp8+rY04iIiIiEgDRCd3QNpzZf/55x88fPgQenp6qFChAlxdXaGrq6vp+IiIiIiylRfHxmmL6OTu48eP6NevH+7fvw8TExMIgoDY2FhUqlQJmzZtQqFChbQRJxERERGpQXQH9bx585CYmIgDBw7g2rVruH79Og4cOACZTIZFixZpI0YiIiKiLHG2bAbRyd2ZM2cwbdo02NnZKcrs7OwwefJknDx5UqPBEREREamDyV0G0cldSkoKihYtqlJetGhRxMbGaiQoIiIiIsoZ0cldpUqVsHPnTpXynTt3wt7eXiNBEREREYkh0dHR2pbXiJ5QMXLkSPTs2RO3bt1C1apVAQA3btxAaGgoNmzYoPEAiYiIiEh9otNRZ2dnbN++HZaWljh//jz++ecflClTBjt27ICrq6s2YiQiIiLKko6uRGtbXpOjde4cHR2xdOlSDYdCRERERN9KreTO29sbkyZNgrGxMby9vbOs6+vrq5HAiIiIiNSVF2e1aotayV14eDjkcrni30RERET0Y1IruQsICMj031+KjIz89oiIiIiIRMqLs1q1RfQ7YW9vj6ioKJXy8PBweHp6aiQoIiIiIjG4iHEGtVru9u7di0OHDgEABEHA0KFDIZVKlepERETwubJEREREuUyt5M7DwwM3btxQ/GxhYQFDQ0OlOjY2NmjdurVGgyMiIiJSR15sYdMWtZI7MzMzpVmw6TNniYiIiOjHInqdu68tdSKTyXD37l1Uq1btm4MiIiIiEoMTKjKITu7u37+PyZMn4+HDh4rlUT734MEDjQRGREREROKJTnN9fHygq6uLyZMnQyqVYsqUKejVqxf09PSwePFibcRIRERElCXOls0guuUuJCQEW7ZsgaOjI/bv3w8bGxt07doVFhYW2L17N5o2baqNOImIiIhIDaJb7uRyOYoVKwYAsLKywsOHDwEA7u7uCA0N1Wx0RERERGqQ6OhobctrREdsZWWlWBalfPnyuHv3LgAgJiYGMplMs9ERERERqUMi0d6Wx4julu3RowcmTZoEAGjcuDFatWoFQ0ND3Lx5E05OTpqOj4iIiIhEEJ3cdejQAYULF4aZmRmsra3h6+uL9evXo2TJkpg6dao2YqTPGFqWwC+3DuN6u6GIOnc1y7qlOjXHz96DUaB8GST89xKPF6zDy4ADSnVMqznAft54mFZzQEp0HMK37sfDmSsgJCdr8Soov7hz8woCA9Yi/MUzmJqZw7N5OzRv0wWSr/ylK5MlYf+uTbjw95+I/vQRVuV+Rruu/VClqutXz7HYxxvPnvwLv437tXUZlI88CzmP84eW4N3rxyhYqAicfukGF4++X70nP/c2LATb5nWA14w/YVqktNK+92+e4OwfCxD26Cp0dPRQuoIL3NpNhFnRMtq6FBIpL0580JYcdSR7eHigevXqAICWLVvi0KFDWLFiBV69eqXR4EiZYWkL1DjqD6lZ9o95s2jjCaetCxF58gKutxuK9+euwsl/Hkp2bKaoY1SuNGoe34TUhCTc7DIST5f4o9zIPqi0dLI2L4PyiUeh9zB/1jiUKm2FUb/7ok4DT+zYvBKH9gZ89TXr/Hxx4sg+tGzXHWOnzEeJkqUxf8Y4hN6/lWn9f84cx7VLZ7V0BZTfvHp2C/tXD4K5RXm0HuAHe5eWOHtgAa6eWJ/tayNfPcS+VQMgl6eo7IuOeo0di7oiIfYjWvRZDM+uM/D+9WPs8euLZFmiNi6F6JuIbrmzt7fHb7/9hiFDhiiVf/r0CT179uQ6d9ogkaB0j9awnzcBUPMPE9tZo/F673E8GJu26PS7v85DWtgUttNH4PXuowAA63H9kRITh+tth0BITkbk8XNITUiEw7IpeDx3DRLDXmvriigf2LtjA8qWt8HQMdMAAE7VXJGamoKDe7ai6a+doG9goFQ/8u1rXPj7BPoMGgPP5u0AAJUcq+Hhg7s4cXQ/7Co5KdWPeh+JLeuWwLxo8e9yPZT3XTjshxJl7NG89wIAQLlKv0CemoLLf65BVbeekOobqrwmNUWGm39vw4XDy6ErNVDZDwAXj/jBwNAYHUdsglTfCABgWqQ09q8ZjLcv7qH0z9W1d1Gktrw48UFbRL8TgiBg/fr1GDt2rMoECkEQNBYYZSjkaAuHlTMQvu0AbvUen219IytLGNuWw5uDfymVv97/JwpWKIsCP1sBAIo1qouIY2eVumDf7DsOia4uinnW1exFUL6SnCxDyN1guLj+olRes7YbEhLiERpyW+U1ZuZFMHvxRtRt0FhRpqOjAx1dXSRnMhlrvd9cODrXgIMjf3FS9lKSZQh7dAUVqjRSKrdxbgxZYhxePrmR6eue3juHi0dXoGbjgajfeqzKfkEQ8PDWCVSu3U6R2AGAhVVlDPE9z8SOsiWXy7F8+XLUq1cPTk5O6N+/P8LCwr5a//379xgzZgxcXV1Rs2ZNjBo1Cm/fvhV1TtHJnUQiwfr163Hnzh307NkTUVFRSvtI8xJevMbfdo3wYNxcpMZn3wVgbGcNAIh79J9SefyT52n7bcpBx9AABcqWRtyjZ0p1ZO8+IPlTDIxtymkmeMqXIt68QkpKMkpa/qRUXqJU2jil1y9fqLxGKtWHdQV7FChoDLlcjveRb7Fl/VK8ffMSHk1bK9U9/echPH0Sit4Dx2jtGih/+fQuDKkpyShcvKxSeeHiaX/MRr19lsmrAIuylTFg1mnUajoYOjq6qsd9H46khBgUMi+Fv3bNgN/YGlg8vDL+WDMYMR/eaPw6KOd+1EWMV61ahR07dmDWrFnYtWsX5HI5vLy8vrrCyMiRI/Hq1Sts2rQJmzZtwqtXrzB06FBR58xRy125cuUQGBgIHR0dtG/fHo8ePYIOm0O1JvnDJyS+VD9r1zM1BgCkRMcqlafExKXtL2QMqalJpnXS6+kVMs5puPQ/ID4u7b4xKlBQqdzIqAAAICE+LsvXH9q3DcP6tsHxQ7vh1qgFKldxUeyLjHiNbRuXo++gsShkaqbZwCnfSkqMAQDoGyl/d+kbpN2jskTV7zoAMDErAaOCZl89bkLsBwDA2QMLEfvxLVr0XYzG3Wbj7YsQ7FraE7KkeA1ET/mVTCaDv78/hg8fjgYNGsDOzg5LlizBmzdvcOLECZX60dHRuHr1Kvr37w97e3tUrFgRAwYMwN27d/Hx40e1z5ujljsAKFy4MDZv3oyqVauic+fOuHLlithDkZZkN+5AkMuBbOuwi52+LrshGNm14lerUQdTfVeiU4+B+Of0caxeOltx3LXLfOBUvRZq1nHTWLyU/wmZPOv8cxJJzhogUlPSWlcKmhRF6wErUK5iXVSq2Qq/9l+Gj5HP8eBaUI6OS5r3Iy5iHBoairi4ONSqVUtRVqhQIVSsWBHXrl1TqW9oaIiCBQviwIEDiI2NRWxsLA4ePIhy5cqhUKHsJ1OmEz2h4vMvdX19fSxcuBArVqzA2LGqYxUod6R8SvsLVs9EuVUlvTUu5VOsosXuyzrp9dKPQZSZ9Ba7xATlVouE+LSfCxTMuuW3jFXa0AF7B2ekpqZi744N6NRjIG5cPY8X/z3B/BUBSE1Nm7UoIO07JzU1BRKJDnsJKFMGRmm9EbJE5VbjpP9vsfuyRU9d+oZprytX6RelX/KlyjnBwMgEb8NCcnRc0jxtLoXi7u6e5f5Tp05lWv7mTVrXfcmSJZXKixcvrtj3OX19fcydOxdTp05F9erVIZFIULx4cWzbtk3Ud5/o5G7YsGEoUKCASpmVlRV2794t9nCkBbEP08aWFLC2QvStjNnLBa3Txp7Ehj5Balw8EsLfoMD/l6XTL2YOaSFjxIY++X4BU55ToqQldHR08eZ1uFJ5+s+WZcqqvCYy4jXu3bqOOg08oa+fMSuxnLUtAOBD1DtcuXAGMdEfMbhnS5XXd2/9C9p16Yv2Xb00eCWUX5gV+wkSHV18jHyuVP4xMm38ZxEL65wdt2gZQCJRtOB9Ti5PhZ5UdQYuUbqEhAQAaUnb5wwMDPDp0yeV+oIg4MGDB3B2doaXlxdSU1OxZMkSDBkyBDt37oSxsXp/pOQouctMy5Yt0bKl6hcyfX/xT14g/mkYSrZtjDf7jivKLdp4IvbhMyQ8fwkAeHfyAoo3a4AHY30hl6XNmLVo2xjylBS8O3M5V2KnvEFf3wB2DlVw7eLfaNGmq6Ib9urFMyhQ0BjWFSqqvOZdxBus8/OFvoEB6tT3VJTfCb4CPT0pSpb+CV5DxyPhi9bA/Tv98fTJvxg7eR4KmxfV7oVRnqUnNUCZn6vj4a2/4OLRT3FPPgz+EwZGJihZ1jFHx9U3LIgyP7vg0a0TqPfraOhJ035JPw+9hOSkeM6W/YFos+Xuay1z2TE0TEv+ZTKZ4t8AkJSUBCMjI5X6x44dw7Zt23DmzBlFIrdmzRq4ublh79696N27t1rnVSu5s7e3x/nz51GkSBHY2dl9dTyNRCJBSAibqL83PZOCMK74M+KfvIDsXdrg30dzVqLKxrlIjvqIt0GnUeJXd5Tq2Aw3u45UvO7Jwg0o1ak5XA5vwLOlm1DQpixsZ41G2IbdXOOOstWmY2/4TBmBZfMmo4FHCzwMvYvD+3egc6/BMDA0RHx8HF6+eIYSJS1RyLQwbCtWgYOTCzavXYKE+HiUKGmJm9cu4MTR/WjftR+MjQvB2Fh1TImxiSn09PRgXcE+F66S8hLXpoOxe3kfHNowApVrt8Orp8G4enIjfmk1BlJ9IyQlxOL9m8cwK/oTCpiYq33ceq1GI3BpD+xb1R8uHn0RH/0eZw8sRMmyVfCzY0MtXhHldendsREREfjpp4zVBSIiImBra6tS//r16yhXrpxSC52pqSnKlSuH58+fq9T/GrWSOx8fH5iYmCj+zSVPfiyFnCuh1qkA3O43EeFb/wAAhG/9AzoG+ig/qi9K926H+KdhuNV7PF7vOaZ4Xdy/T3GlaV/YzxuPqoHLIXv3Ac+WbcbD6ctz61IoD3GoUh2jvH2wZ8cGLJozEeZFiqFrn6Fo0aYrAOC/J/9i1u/DMGjEJNT3aA4dHR2M9vbBvp3+OLQ3AB+i3sGiVGn0HzoBbp5s9advZ2VbC636++HC4eU4sHYojE1LoEGb8XDx6AsAeBt2H4FLe6JpD1841Gqr9nEtyzuj04it+OfQEhxcNxxSfUP8XMUDDdpOyHT5FMolP+B4XDs7OxgbG+PKlSuK5C46OhohISHo3r27Sn0LCwscOXIESUlJMPj/heDj4+MRHh6OX3/9Ve3zSoQfcOXhI1LVbJYot5W8fzG3QyBScjOsSG6HQKTEK+t5B1oVMam31o5dfM7mHL92yZIl2LVrF3x8fGBpaYkFCxYgPDwchw8fho6ODqKiomBiYgJDQ0NERESgZcuWqFq1KkaMGAEAWLp0KUJCQnDkyBFFQ1t2RI+5k8vlCAoKws2bN5GcnKw0e1YikcDHx0fsIYmIiIi+yY/aqzh8+HCkpKRg8uTJSExMhIuLCzZu3AipVIrw8HC4u7vD19cXbdu2RfHixbFjxw4sWLAAvXr1go6ODqpXr44dO3aondgBOWi5mz17NrZv365oavxSQMDXHxquLrbc0Y+ILXf0o2HLHf1ocrPlLnJyH60du9jsTVo7tjaIbrkLCgqCj48P2rRpo414iIiIiET7lsWG8xvRyZ1MJoOLi0v2FYmIiIi+E20uhZLXiE5z69Wrh7Nnz2ojFiIiIiL6RqJb7pycnLBgwQJcunQJ1tbWkEqlSvu/tsgxERERkdawW1ZBdHK3bds2mJubIyQkRGXBYolEwuSOiIiIKBeJTu5Onz6tjTiIiIiIcoxj7jJorA1TJpPhxo0bmjocEREREeWA6Ja7e/fuYcqUKXj48CHkcrnK/gcPHmgkMCIiIiJ1SSQcc5dO9Dvh6+sLXV1dTJ48GVKpFFOmTEGvXr2gp6eHxYsXayNGIiIiIlKT6Ja7kJAQbNmyBY6Ojti/fz9sbGzQtWtXWFhYYPfu3WjatKk24iQiIiL6Oo65UxDdcieXy1GsWDEAgJWVFR4+fAgAcHd3R2hoqGajIyIiIlKDREdHa1teIzpiKysrxcSJ8uXL4+7duwCAmJgYyGQyzUZHRERERKKI7pbt0aMHJk2aBABo3LgxWrVqBUNDQ9y8eRNOTk6ajo+IiIgoW1wKJYPo5K5Dhw4oXLgwzMzMYG1tDV9fX6xfvx4lS5bElClTtBEjEREREalJdHIHAB4eHop/t2zZEi1bttRYQERERESicSkUhRwldydPnsSmTZvw6NEj6Ovrw8bGBkOGDEH16tU1HR8RERERiSA6zd2+fTtGjBiBkiVL4rfffoOXlxcKFiyInj174tixY9qIkYiIiChLEh2J1ra8RnTLnb+/P7y9vdG9e3dFWe/evbFu3TosX76c69wRERER5SLRLXeRkZGoV6+eSnmjRo3w8uVLjQRFREREJIqOjva2PEZ0xDVr1sSff/6pUv7333/D2dlZI0ERERERiSGRSLS25TVqdcuuWLFC8e+SJUti6dKluHfvHqpWrQpdXV3cv38fhw8fRr9+/bQWKBERERFlT63kbv/+/Uo/W1hY4N69e7h3756irHjx4jh8+DBGjRql2QiJiIiIspMHu0+1Ra3k7vTp04p/P3/+HFZWVloLiIiIiIhyTnSa2717d9y5c0cbsRARERHlCJdCySA6uZNKpdDTy9Hax0RERESkZaKztDZt2sDLywutWrWClZUVDA0Nlfa3bt1aU7ERERERqYePH1MQndytXLkSALBp0yaVfRKJhMkdERERUS4SndyFhoZqIw4iIiKinMuDY+O0hW2YRERERPmIWi13PXv2zLRcKpXC1NQUjo6OaNeuHUxMTDQaHBEREZE6JBxzp6BWcmdpaZlpuVwux6dPn7Bu3Tps2rQJu3fvRokSJTQaIBEREVG22C2roFZy5+vrm+V+mUyGoUOHYtmyZfDx8dFIYEREREQknkbaMPX19dG/f3+cP39eE4cjIiIiEkWio6O1La/RWMSlS5fGhw8fNHU4IiIiIsoBjT1qIiIiAoULF9bU4YiIiIjUJ+GYu3QaablLTk7GmjVr4OrqqonDEREREVEOqdVy5+3tnWm5IAiIjo7G3bt3IQgCAgMDNRocERERkVry4Ng4bVEruQsPD8+0XCqVolChQujZsyfatWsHc3NzjQZHREREROKoldwFBARoOw4iIiKinOOYOwWNTaggIiIiyi15cckSbRGd3NnZ2UHylexYKpXCwsICrVq1wpAhQ75aj4iIiIi0Q3Ry9/vvv2PRokXo0qULqlevDgAIDg7G9u3b0aVLF5iammLr1q2KhY2JiIiItI7PllUQndwdOXIEv//+Ozp16qQo8/DwQPny5bF3717s3LkTFSpUwPz585ncEREREX1notPcBw8eZLqeXfXq1XH//n0AQMWKFfH69etvj46IiIhIHToS7W15jOjkrnTp0jhz5oxK+ZkzZ2BhYQEAePHiBZdFISIiIsoFortlBw8ejIkTJ+Lu3btwdnaGXC7H7du3cfz4ccycORPPnj2Dt7c3PD09tREvERERkQoJx9wpiE7uWrZsCWNjY/j7+2Px4sXQ09ODra0t1qxZg3r16uHatWto2bIlhg0bpo14iYiIiCgLopO7sLAwuLm5wc3NLdP9Li4ucHFx+ebAiIiIiNSWB8fGaYvoNsxGjRqhW7du2LdvH+Lj47URExEREZE4Eh3tbXmM6IgDAgJgbW2N+fPno06dOhg/fjwuXbqkjdiIiIiISCTRyZ2LiwtmzpyJ8+fPY/78+UhMTMSgQYPQsGFDLF++XBsxEhEREWVNItHelsfkuK1RKpWiUaNGmD59OkaMGIFPnz5h7dq1moyNiIiIiEQSPaECAOLj4/HXX38hKCgIly9fhqWlJfr164c2bdpoOj4iIiKi7OnkvbFx2iI6uRs1ahT+/vtvSCQSNGnSBJs3b1Y8YzYxMVHjARIRERGR+kQnd+/evcO0adPQuHFjGBkZAQAeP36MXbt24dChQ7h69arGgyQiIiLKUh6c1aotopO7gIAAAIBMJsOhQ4ewa9cuBAcHQyKRwMPDQ+MBEhEREZH6RCd3z58/x65du/DHH3/g48ePkEgkaNu2LQYNGoQyZcpoI0YiIiKirHERYwW1krvU1FScOHECgYGBuHLlCnR1dVG3bl00b94c3t7e6NOnDxM7IiIiyj3sllVQK7mrX78+YmJi4OrqilmzZqFRo0YwNTUFAEycOFGrARIRERGR+tRK7mJiYlCkSBGUKlUKZmZmiokURERERD+EPLjYsLaoldxduHABR48exb59+7Bz504ULFgQ7u7uaNasGSR8M4mIiIh+GGp1UBsbG6Njx44IDAzEkSNH0LFjR1y8eBGDBg1CamoqNm/ejOfPn2s7ViIiIqLM6ehob8tjREdsbW2NCRMm4OzZs1i5ciXc3d1x4MABNG3aFF5eXtqIkYiIiIjUlKPHjwGArq4u3N3d4e7ujqioKBw8eBD79+/XZGxERERE6uEwMQWNtDWam5ujT58+CAoK0sThiIiIiCiHctxyR0RERPTD4Dp3CnwniIiIKO/7QSdUyOVyLF++HPXq1YOTkxP69++PsLCwr9ZPTk7GokWLFPW7d++OBw8eiHsrviliIiIiIvqqVatWYceOHZg1axZ27doFuVwOLy8vyGSyTOtPnz4d+/fvh4+PD/bt2wdzc3P0798fMTExap+TyR0RERHlfRKJ9rYckslk8Pf3x/Dhw9GgQQPY2dlhyZIlePPmDU6cOKFSPywsDPv27cOcOXNQr149WFtbY/bs2dDX18e9e/fUPu8POeau5P2LuR0CkYrXlWrndghESjY3WZfbIRAp8XKvn9sh/FBCQ0MRFxeHWrVqKcoKFSqEihUr4tq1a2jRooVS/QsXLsDExAS//PKLUv3Tp0+LOu8PmdwRERERiaLFCRXu7u5Z7j916lSm5W/evAEAlCxZUqm8ePHiin2fe/bsGcqUKYMTJ05g3bp1ePv2LSpWrIiJEyfC2tpa7XjZLUtERESkBQkJCQAAfX19pXIDAwMkJSWp1I+NjcXz58+xatUqjB49GqtXr4aenh66du2K9+/fq31ettwRERFR3qfFRYy/1jKXHUNDQwBpY+/S/w0ASUlJMDIyUqmvp6eH2NhYLFmyRNFSt2TJEtSvXx9//PGH2k8CY8sdERERkRakd8dGREQolUdERKBEiRIq9S0sLKCnp6fUBWtoaIgyZcogPDxc7fMyuSMiIqK87wdc587Ozg7Gxsa4cuWKoiw6OhohISFwcXFRqe/i4oKUlBTcvXtXUZaYmIiwsDBYWVmpfV52yxIREVGeJ/yAz5bV19dH9+7dsXDhQpibm8PS0hILFiyAhYUFPD09kZqaiqioKJiYmMDQ0BDVq1dH7dq1MWHCBMycORNmZmZYvnw5dHV10apVK7XPy5Y7IiIiIi0ZPnw42rdvj8mTJ6NLly7Q1dXFxo0bIZVK8fr1a9StWxdHjx5V1Pfz80ONGjUwbNgwtG/fHrGxsdi6dSvMzc3VPqdEEARBGxfzLW4+VH9GCNH3wnXu6Efjy3Xu6AdzPij31rlLOLNda8c2cuumtWNrA1vuiIiIiPIRjrkjIiKivE+LixjnNXwniIiIiPIRttwRERFRnvcjzpbNLWy5IyIiIspH2HJHREREeR/H3CkwuSMiIqK8j92yCkxziYiIiPKRHLXchYaGYsuWLXj27BmWLVuGkydP4ueff0bNmjU1HR8RERFR9r7hGbD5jeh34t69e+jYsSPCw8Nx7949yGQyPHjwAP369cPZs2e1ESMRERERqUl0crdw4UL06dMHAQEBkEqlAIDZs2ejW7du8PPz03iARERERNkRJBKtbXlNjlruWrdurVLerVs3PHnyRBMxEREREVEOiR5zJ5VKERsbq1L++vVrGBkZaSQoIiIiIlG4FIqC6HfCw8MDS5cuRXR0tKLsyZMnmDNnDho0aKDJ2IiIiIhIJNHJ3YQJExAXFwdXV1ckJCSgbdu2aNGiBXR1dTF+/HhtxEhERESUJUGio7UtrxHdLWtsbIxdu3bh0qVLCAkJgVwuh42NDerVqwcdTkMmIiKi3JAHJz5oi+jkrmfPnlixYgVq1aqFWrVqKcrfv3+Pfv364cCBA5qMj4iIiIhEUCu5O3v2LO7evQsAuHbtGtasWYMCBQoo1Xn+/Dlevnyp+QiJiIiIspEXu0+1Ra3kztLSEjNnzoQgCACAo0ePKnXBSiQSFChQgGPuiIiIiHKZWsndzz//jFOnTgEAGjZsiL1798Lc3FyrgRERERGpjWPuFESPuTt9+vRX9yUlJcHAwOCbAiIiIiKinBOd3H348AFr1qzBw4cPkZqaCgAQBAHJycl4/Pgxrl+/rvEgiYiIiLLEMXcKot+JGTNm4MCBAyhcuDCuX7+OEiVKIC4uDrdu3cKAAQO0ESMRERERqUl0y92lS5cwb948NGjQAP/++y/69esHOzs7TJkyBY8fP9ZGjERERERZEjjmTkF0y11cXBxsbW0BAOXLl0doaCgAoHv37rhy5YpmoyMiIiJSh0RHe1seIzriEiVKKNazK1u2LP79918AgJGRET59+qTZ6IiIiIhIFNHJnaenJ7y9vXHjxg3Url0bf/zxB44fP47ly5fDyspKGzESERERZUmARGtbXiN6zN2oUaOQkpKCV69eoWXLlvD09MTIkSNhYmKCZcuWaSNGIiIiIlKTREh/7MQ3+PjxI4yNjaGrqwuJBgY03nz4/puPQaRpryvVzu0QiJT4NlmX2yEQKTkfVD/Xzv0x+Ovr8H4rM+eGWju2Nojqln348CGePn2qUm5mZobHjx+jffv2GguMiIiIiMRTq1s2LCwMQ4YMUSx14ujoiLVr18LMzAzJycnw8/ODv78/TE1NtRosERERUaby4KxWbVHrnZg7dy5iY2Ph6+uLRYsWIT4+HgsWLMD79+/RqVMnrFu3Ds2aNcORI0e0HS8RERERZUGtlrubN2/Cx8cHbm5uAABra2v07NkT//33HyIiIrB27VrUr597/exERET0v42LGGdQK7mLjo6Gvb294mdbW1vExcUhPj4eBw8eRJEiRbQWIBERERGpT63kLjU1FVKpVKlMKpVi4sSJTOyIiIgo1wkcc6cgep27z5UqVUpTcRARERHlHLtlFdRKcyUSiUbWryMiIiIi7VKr5U4QBLRr1w46Ohm5YGJiInr06AFdXV2luqdOndJshERERETZYLdsBrWSu2HDhmk7DiIiIiLSACZ3RERElOcJ4PCxdDlqw0xMTMSBAwewaNEifPz4EVevXsWHDx80HRsRERERiSR6tuy7d+/QqVMnvH//HjKZDB07doS/vz/u3buHLVu2wNraWhtxEhEREX0Vx9xlEP1OzJ07FxUqVMClS5dgYGAAAJg3bx4qVKiABQsWaDxAIiIiIlKf6OTu8uXLGD58OIyMjBRlpqammDBhAm7evKnR4IiIiIjUIpFob8tjRHfLxsXFoUCBApnuS0lJ+eaAiIiIiMQScjaNIF8S/U64uLhg586dSmXJyclYvXo1qlatqrHAiIiIiEg80S13EyZMQLdu3XD16lUkJydj+vTpePr0KWJiYrBt2zZtxEhERESUJSEPdp9qi+jkztraGocOHcLOnTtRvHhxyOVyNG3aFF27dkXp0qW1ESMRERERqUl0cgcA8fHxcHd3x4gRIwAAW7ZsQWpqqkYDIyIiIlIXl0LJIPqduHjxIlq1aoW//vpLUXb06FG0bt0a169f12hwRERERCSO6ORu8eLF6N27N0aNGqUoCwwMRI8ePbBw4UKNBkdERESkDgESrW15jejk7vHjx2jfvr1KeYcOHfDvv/9qJCgiIiIiyhnRY+7Mzc0RGhqKMmXKKJU/evQIJiYmGguMiIiISF0cc5dBdHLXqlUrTJ8+HR8/fkSVKlUAAHfv3sXSpUvRunVrTcdHRERElC0uhZJBdHI3dOhQfPjwATNnzkRKSgoEQYCenh569OiB4cOHayNGIiIiIlKT6OROT08P06dPx7hx4/Ds2TPo6emhbNmyMDQ01EZ8RERERNnKixMftCVH69wBQEJCAooUKQJBEBAVFaUoL1WqlEYCIyIiIiLxRCd3N2/ehLe3N168eKFULggCJBIJHjx4oLHgiIiIiNTBCRUZRCd3s2fPRrFixTB+/HjOjiUiIiL6wYhO7h49eoQDBw7A2tpaG/EQERERicYxdxlEt2GWLFkScXFx2oiFiIiIiL6R6Ja7wYMHw8fHBzNmzED58uUhlUq1ERd94c7NKwgMWIvwF89gamYOz+bt0LxNF0i+sq6PTJaE/bs24cLffyL600dYlfsZ7br2Q5Wqrl89x2Ifbzx78i/8Nu7X1mVQPmVoWQK/3DqM6+2GIurc1SzrlurUHD97D0aB8mWQ8N9LPF6wDi8DDijVMa3mAPt542FazQEp0XEI37ofD2eugJCcrMWroPzCyFAHg3uXR/3axWBkqIvb9z9i+YYnCHuZoPYxZk2siITEVPgsVX7ykmkhPQzsWR61qpvD0EAX/z6OwcpNT/HoaaymL4NE4pi7DKLfidWrV+PevXto3bo1HB0dYW9vr7SR5j0KvYf5s8ahVGkrjPrdF3UaeGLH5pU4tDfgq69Z5+eLE0f2oWW77hg7ZT5KlCyN+TPGIfT+rUzr/3PmOK5dOqulK6D8zLC0BWoc9YfUrFC2dS3aeMJp60JEnryA6+2G4v25q3Dyn4eSHZsp6hiVK42axzchNSEJN7uMxNMl/ig3sg8qLZ2szcugfGTaWHu41SmGNVueYvaSUBQrYgC/OVVgUjD79gyJBBjuZQ23OsUy3T/HuxLquRbBhm3/YfqCEEgkwArfKihZgsuB5TY+WzZDjlru6Pvau2MDypa3wdAx0wAATtVckZqagoN7tqLpr52gb2CgVD/y7Wtc+PsE+gwaA8/m7QAAlRyr4eGDuzhxdD/sKjkp1Y96H4kt65bAvGjx73I9lE9IJCjdozXs502Aut99trNG4/Xe43gw1hcA8O6v85AWNoXt9BF4vfsoAMB6XH+kxMThetshEJKTEXn8HFITEuGwbAoez12DxLDX2roiygcq2RZC3ZpFMXb6XVy+kbZM1537n7B7Q020aV4KW3e/+OprrcsWxMiBP8O+ggkSk1JV9pcpZQQnBzP4Lv8XR06+AQDcfRCNw9tro4lbCWza9Vw7F0Ukkujkrk2bNtqIg74iOVmGkLvBaN+1n1J5zdpuCNq3HaEht+HoXENpn5l5EcxevBElS2U8/1dHRwc6urpIlslUzrHeby4cnWtAKjVAyL2b2rkQyncKOdrCYeUMPF+zA+9OXUSNoPVZ1jeysoSxbTk8nLlcqfz1/j9RqmMzFPjZCvGPn6NYo7qIOHZWqQv2zb7jqLxiOop51kXYxj1auR7KH2pWLYz4hFRcDc5Yf/VjdDJu3fsI12rmWSZ3k0fZISExFQPHBmPuZAeV/fr6aZ1d8fEpirKExFTIZHIUKpTjZWNJQ9gtmyFH78TZs2fRs2dP1K1bFy9fvoSfnx8OHjyo6dgIQMSbV0hJSUZJy5+UykuUKg0AeP1S9YtKKtWHdQV7FChoDLlcjveRb7Fl/VK8ffMSHk1bK9U9/echPH0Sit4Dx2jtGih/SnjxGn/bNcKDcXORGp+YbX1ju7QZ9nGP/lMqj3+S1tphbFMOOoYGKFC2NOIePVOqI3v3AcmfYmBsU04zwVO+ZVWmAF69SYBcrlz+8nUCfipdIMvXzlociiETbuHJf5lPGnzyXxyu3/6A3p2tUO6nAjAx1sOwftYwNNDBqXORmroEom8mOrm7cOEChg0bhlKlSiE6OhpyuRwpKSnw9vbGgQMHtBDi/7b4uLRBukYFCiqVGxmlfUklxGc9c/nQvm0Y1rcNjh/aDbdGLVC5iotiX2TEa2zbuBx9B41FIVMzzQZO+V7yh09IfPlW7fp6psYAgJRo5YHnKTFp97BeIWNITU0yrZNeT6+QcU7Dpf8RxgX0EJ+g2qUan5CKgka6Wb726fPsV4JYtOoRjAx1EbDSBcd21kGHlpaY6/cQ90KjcxwzacaPOuZOLpdj+fLlqFevHpycnNC/f3+EhYWp9dpDhw7B1tYW4eHhos4puh3Zz88PY8aMQe/evfHnn38CAEaNGgVjY2Ns3LgRrVu3FntIyoIgCFnu/9ps2XTVatSBrX1l/BtyB/t3bYIsKQlDx0yDIAhYu8wHTtVroWYdN02GTJQpiU7Wf0sKcjmQbZ2sPw/0v0UiAXS++ArMqmfuW28fq9IFsHq+E15HJGKS733ExaWgYd1imPibDZKSUnHmwrtvOwHlS6tWrcKOHTswd+5cWFhYYMGCBfDy8kJQUBD09fW/+rqXL19i5syZOTqn6OTu33//xfz581XKmzRpghUrVuQoCPq69Ba7xIR4pfKE+LSfCxTMuiWjjFVaV5i9gzNSU1Oxd8cGdOoxEDeunseL/55g/ooApKamjR8RkPbNl5qaAolEBzrZ/KIlEiPlUwwAQM9EuRU6vTUu5VOsosXuyzrp9dKPQQQAfTpboW/XskplZ85HwtxM9RdmgQK6iItLUSkXo1MrS+joSDBqyh1Ex6Qd6/rtjzA21sPoQRWY3OUyIZvGjtwgk8ng7++PsWPHokGDBgCAJUuWoF69ejhx4gRatGiR6evkcjnGjRuHSpUq4fLly6LPKzq5MzExQUREBH76SXkM2OPHj2Fqaio6AMpaiZKW0NHRxZvXyk2y6T9blimr8prIiNe4d+s66jTwhL5+xkzacta2AIAPUe9w5cIZxER/xOCeLVVe3731L2jXpS/ad/XS4JXQ/7rYh2nj6ApYWyH6VsYzqAtaW6XtD32C1Lh4JIS/QYH/L0unX8wc0kLGiA198v0Cph/ewT9f48K190plv7gWRY2qhSGRAJ93fJQuaYTn4fH4FiWKG+JFeLwisUt3694nNKxbHIXNpPjwkWsxUobQ0FDExcWhVq1airJChQqhYsWKuHbt2leTuzVr1iA5ORnDhg37Psldy5Yt4ePjAx8fH0gkEsTFxeHcuXOYNWsWmjVrlv0BSBR9fQPYOVTBtYt/o0Wbropu2KsXz6BAQWNYV6io8pp3EW+wzs8X+gYGqFPfU1F+J/gK9PSkKFn6J3gNHY+EL1oD9+/0x9Mn/2Ls5HkobF5UuxdG/3Pin7xA/NMwlGzbGG/2HVeUW7TxROzDZ0h4/hIA8O7kBRRv1gAPxvpCLkv7RWnRtjHkKSl4d0b8lxzlX++jZHgfpbwCgKGBLnp1skLNquaKpVDMCklRpZIZAvZ8faasOl6Ex6O5hwVMjPUQE5uR4DnamyImNgXR0UzscpMgaK/lzt3dPcv9p06dyrT8zZu0JXNKliypVF68eHHFvi/duXMH/v7+2Lt3L96+VX9c8+dEJ3cjR47EmzdvFGPr2rRpA0EQ0KBBA4waNSpHQVDW2nTsDZ8pI7Bs3mQ08GiBh6F3cXj/DnTuNRgGhoaIj4/DyxfPUKKkJQqZFoZtxSpwcHLB5rVLkBAfjxIlLXHz2gWcOLof7bv2g7FxIRgbqy44a2xiCj09PVhX4GLU9O30TArCuOLPiH/yArJ3HwAAj+asRJWNc5Ec9RFvg06jxK/uKNWxGW52Hal43ZOFG1CqU3O4HN6AZ0s3oaBNWdjOGo2wDbu5xh1l6/b9T7h55yOmjrHDqs1PER2djL5dyyI2LgUHjr5S1CtbpgCkUh1RT5bYdSAcng1KYNlsRwTseYHY+FTUr1UUHvWLY/mGx0iVZ38M0h4hZwuAaFVCQtpTUb4cW2dgYIBPnz6p1I+Pj8fYsWMxduxYlC1b9vsld1KpFIsWLcLw4cPx4MEDyOVy2NjY4Oeff85RAJQ9hyrVMcrbB3t2bMCiORNhXqQYuvYZihZtugIA/nvyL2b9PgyDRkxCfY/m0NHRwWhvH+zb6Y9DewPwIeodLEqVRv+hE+DmqdoNS6QNhZwrodapANzuNxHhW/8AAIRv/QM6BvooP6ovSvduh/inYbjVezxe7zmmeF3cv09xpWlf2M8bj6qByyF79wHPlm3Gw+nLv3YqIiWTfO5jmJc1hvYpD4lEgrsPPmHKvBDEfDbmbszgCrAobogOXlfUPu7byCQMGh+MQT3LYfwwW+joAP+9iMfvPvdx7hLH2+VnX2uZy46hYdqTS2QymeLfAJCUlAQjIyOV+rNnz0a5cuXQuXPnnAX6/yRCdtMxc8HNh++zr0T0nb2uVDu3QyBS4ttkXW6HQKTkfFD9XDv3wyff1u2eFRvrn7KvlIk7d+6gQ4cO+Ouvv5TmKnTp0gW2traYPn26Un1bW1vo6+tDTy+t7S01NVWRCA4aNAiDBg1S67xqtdzZ2dllu+RGugcPHmRfiYiIiCifs7Ozg7GxMa5cuaJI7qKjoxESEoLu3bur1D9x4oTSz7dv38a4ceOwbt062NjYqH1etZK79MkTQNq6K+vXr0enTp3g7OwMqVSKu3fvYvv27XzuLBEREeWKb11sWBv09fXRvXt3LFy4EObm5rC0tMSCBQtgYWEBT09PpKamIioqCiYmJjA0NISVlfJKAemTLkqVKgUzMzO1z6tWcte2bVvFv7t3744pU6agffv2ijIPDw9YW1tjy5Yt6NevX2aHICIiIvqfM3z4cKSkpGDy5MlITEyEi4sLNm7cCKlUivDwcLi7u8PX11cp1/pWosfcOTo6IigoSCW7/O+//9CqVSvcvn37m4PimDv6EXHMHf1oOOaOfjS5OeYu9Im4R3SJYWddWmvH1gbR84atrKxw5MgRlfLAwEDOmCUiIiLKZaKXQhk+fDiGDx+OixcvonLlypDL5QgODsaDBw+wfv16bcRIRERElKUfccxdbhHdcteoUSNs374dxYsXx/nz53Hx4kWULVsWe/bsgaurqzZiJCIiIsqSIEi0tuU1olvuAKBq1aqoWrWqpmMhIiIiom+kVnLn7e2NSZMmwdjYGN7e3lnW9fX11UhgREREROpit2wGtZK78PBwyOVyxb+JiIiI6MekVnIXEBCQ6b/TyWQylYfiEhEREX0vbLnLIHpCRVJSEry9vbF27VpFWZMmTTBlyhTIZDKNBkdERERE4ohO7nx9fXH9+nU4Ozsryry9vXHlyhUsWbJEo8ERERERqUOARGtbXiM6uTt58iTmz5+PGjVqKMoaNWqEOXPmZLq4MRERERF9P6KXQomLi0OhQoVUys3NzfHp0yeNBEVEREQkRl5cj05bRLfcOTk5YcOGDYrZswAgCAK2bNmCypUrazQ4IiIiInXIIdHalteIbrkbNWoUevXqhStXrsDBwQEAcP/+fXz8+BH+/v4aD5CIiIiI1Ce65c7R0RFBQUFo3rw5ZDIZ5HI5WrRogWPHjqFKlSraiJGIiIgoS5xQkSFHjx8rXbo0xowZo+lYiIiIiOgbiU7u5HI5goKCcPPmTSQnJ0MQBKX9fPwYERERfW+cUJFBdHLn4+OD7du3w87ODsbGxtqIiYiIiIhySHRyFxQUBB8fH7Rp00Yb8RARERGJlhfHxmmL6AkVMpkMLi4u2oiFiIiIiL6R6OSuXr16OHv2rDZiISIiIsoRQZBobctrRHfLOjk5YcGCBbh06RKsra0hlUqV9g8bNkxjwRERERGpg92yGUQnd9u2bYO5uTlCQkIQEhKitE8ikTC5IyIiIspFopO706dPayMOIiIiohzLi92n2iJ6zB0RERER/bjUarnr2bOn2gfcunVrjoMhIiIiygl5bgfwA1ErubO0tNR2HERERESkAWold3ykGBEREf3IOOYuA8fcEREREeUjomfL2tnZQSLJPDuWSqWwsLBAq1atMGTIkK/WIyIiItIkrnOXQXRy9/vvv2PRokXo0qULqlevDgAIDg7G9u3b0aVLF5iammLr1q3Q19dH//79NR4wEREREX2d6OTuyJEj+P3339GpUydFmYeHB8qXL4+9e/di586dqFChAubPn8/kjoiIiL4LjrnLIHrM3YMHD+Dq6qpSXr16ddy/fx8AULFiRbx+/frboyMiIiJSgwCJ1ra8RnRyV7p0aZw5c0al/MyZM7CwsAAAvHjxAubm5t8eHRERERGJIrpbdvDgwZg4cSLu3r0LZ2dnyOVy3L59G8ePH8fMmTPx7NkzeHt7w9PTUxvxEhEREamQC7kdwY9DdHLXsmVLGBsbw9/fH4sXL4aenh5sbW2xZs0a1KtXD9euXUPLli0xbNgwbcRLRERERFkQndyFhYXBzc0Nbm5ume53cXGBi4vLNwdGREREpK68ODZOW0SPuWvUqBG6deuGffv2IT4+XhsxEREREVEOiU7uAgICYG1tjfnz56NOnToYP348Ll26pI3YiIiIiNQiCBKtbXmN6OTOxcUFM2fOxPnz5zF//nwkJiZi0KBBaNiwIZYvX66NGImIiIhITTl+tqxUKkWjRo0wffp0jBgxAp8+fcLatWs1GRsRERGRWgRBe1teI3pCBQDEx8fjr7/+QlBQEC5fvgxLS0v069cPbdq00XR8RERERNmSc0KFgujkbtSoUfj7778hkUjQpEkTbN68WfGM2cTERI0HSERERETqE53cvXv3DtOmTUPjxo1hZGQEAHj8+DF27dqFQ4cO4erVqxoPkoiIiCgreXHig7aITu4CAgIAADKZDIcOHcKuXbsQHBwMiUQCDw8PjQdIREREROoTndw9f/4cu3btwh9//IGPHz9CIpGgbdu2GDRoEMqUKaONGImIiIiylBcnPmiLWsldamoqTpw4gcDAQFy5cgW6urqoW7cumjdvDm9vb/Tp04eJHREREdEPQK3krn79+oiJiYGrqytmzZqFRo0awdTUFAAwceJErQZIRERElB0+fiyDWuvcxcTEoEiRIihVqhTMzMwUEymIiIiI6MeiVsvdhQsXcPToUezbtw87d+5EwYIF4e7ujmbNmkEiYaZMREREuUvOMXcKarXcGRsbo2PHjggMDMSRI0fQsWNHXLx4EYMGDUJqaio2b96M58+faztWIiIiokzx2bIZRD9+zNraGhMmTMDZs2excuVKuLu748CBA2jatCm8vLy0ESMRERERqSlHjx8DAF1dXbi7u8Pd3R1RUVE4ePAg9u/fr8nYiIiIiNTCpVAyiG65y4y5uTn69OmDoKAgTRyOiIiIiHIoxy13RERERD8KOZdCUdBIyx0RERER/RjYckdERER5HsfcZWDLHREREVE+wpY7IiIiyvPy4np02sLkjoiIiPI8PqEiA7tliYiIiPIRttwRERFRnscJFRnYckdERESUj7DljoiIiPI8gYsYK7DljoiIiCgfYcsdERER5XmcLZuBLXdERERE+Qhb7oiIiCjP42zZDD9kcnczrEhuh0CkYnOTdbkdApES7+MDcjsEoi/8m2tn/lGTO7lcjhUrVmDPnj2IiYmBi4sLpk6dijJlymRa/9GjR1iwYAFu374NHR0duLi4YOLEiShVqpTa52S3LBEREZGWrFq1Cjt27MCsWbOwa9cuyOVyeHl5QSaTqdT98OED+vTpA0NDQwQEBGD9+vWIioqCl5cXkpKS1D4nkzsiIiLK8+SCRGtbTslkMvj7+2P48OFo0KAB7OzssGTJErx58wYnTpxQqX/y5EnEx8dj/vz5sLGxgYODAxYsWIAnT57g5s2bap+XyR0RERGRFoSGhiIuLg61atVSlBUqVAgVK1bEtWvXVOrXqlULq1atgqGhoaJMRyctVYuOjlb7vD/kmDsiIiIiMbQ55s7d3T3L/adOncq0/M2bNwCAkiVLKpUXL15cse9zpUuXRunSpZXK1q1bB0NDQ7i4uKgdL1vuiIiIiLQgISEBAKCvr69UbmBgoNYYuoCAAGzbtg1jx46Fubm52udlyx0RERHledpsuftay1x20rtXZTKZUldrUlISjIyMvvo6QRCwbNkyrF69GoMHD0aPHj1EnZctd0RERERakN4dGxERoVQeERGBEiVKZPqa5ORkjBs3DmvWrIG3tzdGjhwp+rxM7oiIiCjPkwva23LKzs4OxsbGuHLliqIsOjoaISEhXx1DN378eBw/fhyLFi1C7969c3RedssSERFRnid8w5Il2qKvr4/u3btj4cKFMDc3h6WlJRYsWAALCwt4enoiNTUVUVFRMDExgaGhIfbv34+jR49i/PjxqFGjBiIjIxXHSq+jDrbcEREREWnJ8OHD0b59e0yePBldunSBrq4uNm7cCKlUitevX6Nu3bo4evQoAODw4cMAgPnz56Nu3bpKW3oddUgEIedDEGUymcoMEE3YkLNxi0RatXnp2dwOgUgJHz9GP5rmybn3+LGtWvyK7llfe8fWhhy13O3cuRMNGzaEk5MTwsLCMG3aNKxatUrTsRERERGRSKKTu6CgICxatAht2rSBVCoFAFhbW2PNmjXw9/fXeIBERERE2fkRJ1TkFtHJnb+/PyZNmoTffvtN8UiMnj17YurUqQgMDNR4gERERESkPtHJ3bNnz1C9enWV8po1a+L169caCYqIiIhIDEHQ3pbXiE7uihYtimfPnqmUBwcHo3jx4hoJioiIiIhyRnRy16lTJ8ycOVPxKI6nT59i586dmDNnDtq2bavxAImIiIiyw5a7DKIXMe7fvz9iYmIwevRoJCUlYeDAgdDT00Pnzp0xaNAgbcRIRERElKW8OPFBW3L0hIrRo0dj8ODBePz4MQRBQPny5WFsbIzIyEgUK1ZM0zESERERkZpEd8va29sjKioKRkZGqFy5MhwdHWFsbIzw8HB4enpqI0YiIiKiLLFbNoNaLXd79+7FoUOHAACCIGDo0KGKNe7SRUREoFChQpqPkIiIiIjUplZy5+HhgRs3bih+trCwUHl4rY2NDVq3bq3R4IiIiIjUIZfndgQ/DrWSOzMzM/j6+ip+njRpEoyNjbUWFBERERHljOgxd76+vpkmdjKZTKl1j4iIiOh74Zi7DKJny96/fx+TJ0/Gw4cPIc+kDfTBgwcaCYyIiIiIxBPdcufj4wNdXV1MnjwZUqkUU6ZMQa9evaCnp4fFixdrI0YiIiKiLLHlLoPolruQkBBs2bIFjo6O2L9/P2xsbNC1a1dYWFhg9+7daNq0qTbiJCIiIvoqLmKcQXTLnVwuVyxUbGVlhYcPHwIA3N3dERoaqtnoiIiIiEgU0cmdlZWVYuJE+fLlcffuXQBATEwMZDKZZqMjIiIiUoMgCFrb8hrR3bI9evTApEmTAACNGzdGq1atYGhoiJs3b8LJyUnT8RERERGRCKKTuw4dOqBw4cIwMzODtbU1fH19sX79epQsWRJTpkzRRoxEREREWcqDDWxaIzq5A9KeWJGuZcuWaNmyJQDgzZs3momKiIiIiHJE7TF3r1+/xrZt27Br1y5ERkaq7N++fTuaN2+u0eCIiIiI1CGXa2/La9Rqubt06RIGDx6MxMREAMCiRYuwbds22NraIiwsDOPHj0dwcDBcXV21GiwRERERZU2tlrtly5ahcuXKOHPmDC5cuIDatWtjwYIFCA4ORps2bfDkyRPMnj0bmzdv1nK4RERERKq4iHEGtVruHj16hI0bN6JkyZIAgClTpsDd3R1jxoyBo6MjfH19UaJECa0GSkRERETZUyu5i4+Ph6WlpeLnokWLAgCqVKmCRYsWQUdH9HJ5RERERBrDJ1RkUCu5EwRBJYHT0dHBgAEDmNgRERFRrsuL3afa8k2ZmbGxsabiICIiIiINUHuduzdv3iApKUmp7O3bt9DV1VUqK1WqlGYiIyIiIlKToNV+WYkWj615aid37du3V/pZEAT06NFD6WeJRIIHDx5oLjoiIiIiEkWt5G7r1q3ajoOIiIgoxzihIoNayV2NGjW0HQcRERERaUCOJlSEhobC29sbnTt3xtu3b7F9+3ZcuXJF07ERERERqYWLGGcQndzdu3cPHTp0QHh4OO7duweZTIYHDx6gX79+OHv2rDZiJCIiIiI1iU7uFi5ciL59+yIgIABSqRQAMHv2bHTr1g1+fn4aD5CIiIgoO3K5oLUtr8lRy13r1q1Vyrt164YnT55oIiYiIiIiUdgtm0F0cieVShEbG6tS/vr1axgZGWkkKCIiIiLKGdHJnYeHB5YuXYro6GhF2ZMnTzBnzhw0aNBAk7ERERERqYUtdxlEJ3cTJkxAXFwcXF1dkZCQgLZt26J58+bQ1dXF+PHjtREjEREREalJ7SdUpDM2NsauXbtw6dIlhISEQC6Xw8bGBvXq1YOOzjc9qpaIiIgoR+R5sYlNS0QndwBw4MABGBgYoF+/fgCAESNGIDo6Gi1bttRocEREREQkjuimtq1bt2Lq1KlKkyosLCwwZcoU7N69W6PBEREREalDkGtvy2tEJ3cBAQGYO3cuOnTooCjz9vbGrFmz4O/vr9HgiIiIiEgc0d2yERERcHBwUCl3cnLCq1evNBIUERERkRgCx9wpiG65K1u2LE6fPq1SfvbsWZQuXVojQRERERGJIZdrb8trRLfc9evXDxMnTsT9+/dRpUoVAMDdu3dx5MgRzJo1S+MBEhEREZH6RCd3v/76K/T09LB161acPHkSUqkU1tbW8PPzg5ubmzZiJCIiIsoSu2Uz5GgplGbNmqFZs2aajoWIiIiIvlGOkruXL1/i9u3bkMlkKvtat279rTERERERiSJnw52C6ORu9+7dmDFjBlJTU1X2SSQSJndEREREuUh0crdmzRp07twZo0aNgrGxsTZiIiIiIhJFYNOdguilUCIjI9GnTx8mdkREREQ/INHJnb29PR4/fqyNWIiIiIhyRBC0t+U1ortlvby8MHPmTISFhaF8+fLQ19dX2u/i4qKx4IiIiIjUIWe3rILo5G748OEAgDlz5qjsk0gkePDgwbdHRUREREQ5Ijq5O3XqlDbiICIiIsoxLmKcQXRyZ2lpCQCQyWQIDw/HTz/9BEEQIJVKNR4cEREREYkjekKFIAhYuHAhXFxc0KJFC7x+/RoTJkzApEmTkJycrI0YiYiIiLIkyLW35TWik7uAgAAcPHgQ06ZNU0ym8PDwwMmTJ7FixQqNB0hpnoWcR8DcdlgyogrWTWmIq39tVLsJ+m1YCBYNq4RP78NV9r1/8wT7Vw/CstFV4Te2Bv5YOxQf34VpOnzKx4wMdTB60M84uLUWTuyuiwXTHFDG0kjUMWZNrIjfR9qqlJsW0sP4YTb4Y7Mrju2sg6WzHFGhPJdhouwZWpaAZ+Q1mP9SI9u6pTo1xy+3DqNJ9G3Uv3MUlj1aq9QxreYA15Nb0fjDTbg//we2s0ZBwh4r+kGJTu4CAwMxdepUtG3bFhKJBEDas2Znz56NoKAgjQdIwKtnt7B/9SCYW5RH6wF+sHdpibMHFuDqifXZvjby1UPsWzUAcnmKyr7oqNfYsagrEmI/okWfxfDsOgPvXz/GHr++SJYlauNSKB+aNtYebnWKYc2Wp5i9JBTFihjAb04VmBTMftSHRAIM97KGW51ime6f410J9VyLYMO2/zB9QQgkEmCFbxWULGGo6cugfMSwtAVqHPWH1KxQtnUt2njCaetCRJ68gOvthuL9uatw8p+Hkh0znp9uVK40ah7fhNSEJNzsMhJPl/ij3Mg+qLR0sjYvg0SSC4LWtrxG9Ji78PBw2Nvbq5Tb2dkhMjJSI0GRsguH/VCijD2a914AAChX6RfIU1Nw+c81qOrWE1J91V90qSky3Px7Gy4cXg5dqUGmx714xA8GhsboOGITpPppLS2mRUpj/5rBePviHkr/XF17F0X5QiXbQqhbsyjGTr+LyzeiAAB37n/C7g010aZ5KWzd/eKrr7UuWxAjB/4M+womSExSfZxhmVJGcHIwg+/yf3Hk5BsAwN0H0Ti8vTaauJXApl3PtXNRlHdJJCjdozXs500AJOq9xHbWaLzeexwPxvoCAN79dR7SwqawnT4Cr3cfBQBYj+uPlJg4XG87BEJyMiKPn0NqQiIclk3B47lrkBj2WltXRJQjolvuLC0tcffuXZXyc+fOoUyZMhoJijKkJMsQ9ugKKlRppFRu49wYssQ4vHxyI9PXPb13DhePrkDNxgNRv/VYlf2CIODhrROoXLudIrEDAAuryhjie56JHamlZtXCiE9IxdXgKEXZx+hk3Lr3Ea7VzLN87eRRdtDVkWDg2GB8+Kg6XldfP+3rKT4+o9U5ITEVMpkchQqJ/ruU/gcUcrSFw8oZCN92ALd6j8+2vpGVJYxty+HNwb+Uyl/v/xMFK5RFgZ+tAADFGtVFxLGzED4bV/5m33FIdHVRzLOuZi+CckwQBK1teY3ob8h+/fphxowZiIyMhCAIuHTpEgIDAxEQEICJEydqI8b/aZ/ehSE1JRmFi5dVKi9cPO1LJ+rtM5S1r6PyOouylTFg1mkYFTTDvUv7VY/7PhxJCTEoZF4Kf+2agdDrR5AsS0C5inXh0WkaTApbaOV6KH+xKlMAr94kQP7FgOOXrxPQqEGJLF87a3Eonj6P++r+J//F4frtD+jd2Qr/hcXjXZQMvTtbwdBAB6fOsZeAVCW8eI2/7Roh8eVbtcbaGdtZAwDiHv2nVB7/JK1V2NimHBLD36BA2dKIe/RMqY7s3Qckf4qBsU05zQRP34yLGGcQndy1a9cOKSkpWL16NRITEzF16lSYm5tj5MiR6NKlizZi/J+WlBgDANA3Uh5Erm9QEAAgS4zN9HUmZln/Yk2I/QAAOHtgIUpaOaJF38WIj3mPfw4uxq6lPdHr9wPQNyjwreFTPmdcQA/xCapdqvEJqShopJvla7NK7NItWvUIi2ZURsDKtCffyOUCfJb9i3uh0TkLmPK15A+fkPzhk9r19UzTvldTopW/R1Ni0u5NvULGkJqaZFonvZ5eIU7woR9Pjvo2OnXqhE6dOiEqKgqCIKBIkSKajov+n/Blk8gXJBLRPesA0sbkAUBBk6JoPWAFJDppxylc3ArbF3TCg2tBqFK3U46OTfmTRALofDGOKavb71v/iLYqXQCr5zvhdUQiJvneR1xcChrWLYaJv9kgKSkVZy68+7YT0P+89O+9rxHkciDbOmwt+lHkwd5TrVErubt27VqW+58+far4N58tq1kGRml/NcoSlVs5kv6/xe7LFj116Rumva5cpV+UvuBKlXOCgZEJ3oaF5Oi4lH/16WyFvl3LKpWdOR8JczN9lboFCugiLk51hrYYnVpZQkdHglFT7iA6Ju1Y129/hLGxHkYPqsDkjr5Zyqe0nhE9k4JK5emtcSmfYhUtdl/WSa+XfgyiH4layV2PHj0gkUiyHVTIZ8tqnlmxnyDR0cXHSOWZgR8j02YhFrGwztlxi5YBJBJFC97n5PJU6Em51AQpO/jna1y49l6p7BfXoqhRtTAkEuW/mkuXNMLz8PhvOl+J4oZ4ER6vSOzS3br3CQ3rFkdhM2mmEzGI1BX7MG0cXQFrK0TfyvjdVdA6bUxzbOgTpMbFIyH8DQr8f1k6/WLmkBYyRmzok+8XMGXpR21FlcvlWLFiBfbs2YOYmBi4uLhg6tSpX52E+uHDB8yePRvnzp2DRCJB8+bNMX78eBgZqb9+qFrJHZ8nm3v0pAYo83N1PLz1F1w8+inWFnwY/CcMjExQsqxjjo6rb1gQZX52waNbJ1Dv19HQk6a1vjwPvYTkpHjOliUV76NkeB+l/MeAoYEuenWyQs2q5oqlUMwKSVGlkhkC9nx9GRR1vAiPR3MPC5gY6yEmNiPBc7Q3RUxsCqKjmdjRt4l/8gLxT8NQsm1jvNl3XFFu0cYTsQ+fIeH5SwDAu5MXULxZAzwY6wu5LO2+s2jbGPKUFLw7czlXYqe8Y9WqVdixYwfmzp0LCwsLLFiwAF5eXggKClI8DOJzw4cPR0JCAjZv3ozo6GhMmjQJ8fHxmDdvntrnVCu5S3+ebHaSkpLUPjGpz7XpYOxe3geHNoxA5drt8OppMK6e3IhfWo2BVN8ISQmxeP/mMcyK/oQCJlkvP/G5eq1GI3BpD+xb1R8uHn0RH/0+bYJF2Sr42bGhFq+I8ovb9z/h5p2PmDrGDqs2P0V0dDL6di2L2LgUHDj6SlGvbJkCkEp18Ohp5hOAMrPrQDg8G5TAstmOCNjzArHxqahfqyg86hfH8g2PkZoHHwlEuUvPpCCMK/6M+CcvIHuXNqns0ZyVqLJxLpKjPuJt0GmU+NUdpTo2w82uIxWve7JwA0p1ag6XwxvwbOkmFLQpC9tZoxG2YTfXuPuB/IiLDctkMvj7+2Ps2LFo0KABAGDJkiWoV68eTpw4gRYtWijVDw4OxtWrV3H06FFYW6f1zM2cORNeXl4YPXo0SpTIerJkOtETKj58+IA1a9bg4cOHSE1NmyUnCAKSk5Px+PFjXL9+XewhKRtWtrXQqr8fLhxejgNrh8LYtAQatBkPF4++AIC3YfcRuLQnmvbwhUOttmof17K8MzqN2Ip/Di3BwXXDIdU3xM9VPNCg7QTo6GQ905Eo3SSf+xjmZY2hfcpDIpHg7oNPmDIvBDGfjbkbM7gCLIobooPXFbWP+zYyCYPGB2NQz3IYP8wWOjrAfy/i8bvPfZy7xPF2JF4h50qodSoAt/tNRPjWPwAA4Vv/gI6BPsqP6ovSvdsh/mkYbvUej9d7jileF/fvU1xp2hf288ajauByyN59wLNlm/Fw+vLcuhTKI0JDQxEXF4datWopygoVKoSKFSvi2rVrKsnd9evXUaxYMUViBwA1atSARCLBjRs30KxZM6hDIohcnW/kyJG4dOkS6tSpg+PHj6N58+Z48uQJQkJCMHr0aAwYMEDM4TK1gb3A9APavPRsbodApMT7+Ld/3xJpUvPkf3Pt3MMWq78MjlgPjmTdcPK14WsnTpzAb7/9htu3b8PQMGMs+4gRI5CYmIi1a9cq1Z89ezZu376NPXv2KJXXqlULXl5e6Nevn1rxim65u3TpEubNm4cGDRrg33//Rb9+/WBnZ4cpU6bg8ePHYg9HRERE9M1+xAkVCQkJAKAyts7AwACfPqkmowkJCZmOwzMwMBA19E10chcXFwdbW1sAQPny5REaGgo7Ozt0795dI612RERERD+SnE4sTW+tk8lkSi13SUlJmc5+NTQ0hEymuopFUlISChRQ/8EColfALVGiBF6+TJtBVLZsWfz7b1oTrJGRUaZZKBEREZG2yQXtbTlVsmRJAEBERIRSeURERKaTIywsLFTqymQyfPz4EcWLF1f7vKKTO09PT3h7e+PGjRuoXbs2/vjjDxw/fhzLly+HlZVV9gcgIiIi+h9gZ2cHY2NjXLmSMZksOjoaISEhmT70wcXFBW/evMHz5xlr2169ehUAUK1aNbXPK7pbdtSoUUhJScGrV6/QsmVLeHp6YuTIkShUqBCWLVsm9nBERERE3+xHHHOnr6+P7t27Y+HChTA3N4elpSUWLFgACwsLeHp6IjU1FVFRUTAxMYGhoSGqVKmCqlWrYtSoUZg+fTri4+MxdepUtG7dWu1lUIAcJHfJycmYNGmS4ueZM2di9OjRMDY2hp5ejh5VS0RERJQvDR8+HCkpKZg8eTISExPh4uKCjRs3QiqVIjw8HO7u7vD19UXbtm0hkUiwYsUKzJgxA7169YKBgQGaNGkCb29vUecUvRSKs7MzPD090aZNG7i6uoo6mbq4FAr9iLgUCv1ouBQK/WhycymUgXOjtHbstRPVf0DAj0D0mLtp06bh3bt36NevHxo2bIjly5cjLCxMG7ERERERkUii+1Fbt26N1q1b4927dzh8+DCCgoKwevVqVK1aFW3btkW7du20EScRERHRV8l/wDF3uUV0y126okWLonfv3ti1axcmT56M0NBQTJ48WZOxEREREalFEAStbXlNjmdAXL9+HUFBQTh+/DhSU1PRpEkTtG2r/nNNiYiIiEjzRCd3ixYtwpEjR/DmzRu4uLjA29sbTZo0UVp5mYiIiOh7+hGXQsktopO7Y8eOoW3btmjTpg0sLS21ERMRERER5ZDo5O7kyZOKf8tkskwfcEtERET0PbHlLkOOJlTs3LkTDRs2hJOTE8LCwjBt2jSsWrVK07ERERERkUiik7ugoCAsWrQIbdq0gVQqBQBYW1tjzZo18Pf313iARERERNmRC4LWtrxGdHLn7++PSZMm4bfffoOOTtrLe/bsialTpyIwMFDjARIRERGR+kQnd8+ePUP16tVVymvWrInXr19rJCgiIiIiMQS5oLUtrxGd3BUtWhTPnj1TKQ8ODkbx4sU1EhQRERGRGFzEOIPo5K5Tp06YOXMmTp06BQB4+vQpdu7ciTlz5nARYyIiIqJcJnoplP79+yMmJgajR49GUlISBg4cCD09PXTu3BmDBg3SRoxEREREWeKzZTOITu6uX7+O3377DYMHD8bjx48hCALKly8PY2NjbcRHRERERCKI7pb97bff8PDhQxgZGaFy5cpwdHRkYkdERES5ihMqMohO7szNzRETE6ONWIiIiIjoG4nulv3ll18wcOBA1K9fH1ZWVjAwMFDaP2zYMI0FR0RERKSOvDirVVtEJ3d//vknihQpgnv37uHevXtK+yQSCZM7IiIiolwkOrk7ffq0NuIgIiIiyjFBLs/tEH4Yaid3b968wV9//QUDAwPUr18fJUqU0GZcRERERGrjUigZ1Erurl+/Di8vLyQmJgIAChQogOXLl6Nu3bpaDY6IiIiIxFFrtuyyZctQq1YtnDt3DhcuXEC9evUwd+5cbcdGREREpBY+fiyDWi13ISEhCAwMVDw79vfff0eDBg0QGxvLNe6IiIiIfiBqJXfx8fEwMzNT/FyiRAlIpVJ8+vSJyR0RERHlury42LC2qNUtKwgCJBKJUpmuri7knJlCRERE9EMRvRQKERER0Y+GLXcZ1E7u/P39YWRkpPg5JSUFW7duhampqVI9LmJMRERElHvUSu5KlSqFY8eOKZUVK1YMp06dUirjEyqIiIgoN8gFDhVLp1Zyx6dSEBEREeUNHHNHREREeR7H3GUQndzZ2dmpzJxNJ5VKYWFhgVatWmHIkCFfrUdERESkSUzuMohO7n7//XcsWrQIXbp0QfXq1QEAwcHB2L59O7p06QJTU1Ns3boV+vr66N+/v8YDJiIiIqKvE53cHTlyBL///js6deqkKPPw8ED58uWxd+9e7Ny5ExUqVMD8+fOZ3BEREdF3kRcfE6Ytai1i/LkHDx7A1dVVpbx69eq4f/8+AKBixYp4/fr1t0dHRERERKKITu5Kly6NM2fOqJSfOXMGFhYWAIAXL17A3Nz826MjIiIiUoNcLtfalteI7pYdPHgwJk6ciLt378LZ2RlyuRy3b9/G8ePHMXPmTDx79gze3t7w9PTURrxERERElAXRyV3Lli1hbGwMf39/LF68GHp6erC1tcWaNWtQr149XLt2DS1btuRixkRERPTdcLZsBtHJXVhYGNzc3ODm5pbpfhcXF7i4uHxzYEREREQknugxd40aNUK3bt2wb98+xMfHayMmIiIiIlEEQa61La8RndwFBATA2toa8+fPR506dTB+/HhcunRJG7ERERERqUWQC1rb8hrRyZ2LiwtmzpyJ8+fPY/78+UhMTMSgQYPQsGFDLF++XBsxEhEREZGaRCd36aRSKRo1aoTp06djxIgR+PTpE9auXavJ2IiIiIjUwpa7DKInVABAfHw8/vrrLwQFBeHy5cuwtLREv3790KZNG03HR0REREQiiE7uRo0ahb///hsSiQRNmjTB5s2bFc+YTUxM1HiARERERNmR58GJD9oiOrl79+4dpk2bhsaNG8PIyAgA8PjxY+zatQuHDh3C1atXNR4kEREREalHdHIXEBAAAJDJZDh06BB27dqF4OBgSCQSeHh4aDxAIiIiouzkxbFx2iI6uXv+/Dl27dqFP/74Ax8/foREIkHbtm0xaNAglClTRhsxEhEREZGa1EruUlNTceLECQQGBuLKlSvQ1dVF3bp10bx5c3h7e6NPnz5M7IiIiCjXCHKOuUunVnJXv359xMTEwNXVFbNmzUKjRo1gamoKAJg4caJWAyQiIiLKDrtlM6i1zl1MTAyKFCmCUqVKwczMTDGRgoiIiIh+LGq13F24cAFHjx7Fvn37sHPnThQsWBDu7u5o1qwZJBKJtmMkIiIiylJefAastqjVcmdsbIyOHTsiMDAQR44cQceOHXHx4kUMGjQIqamp2Lx5M54/f67tWImIiIgoG6IfP2ZtbY0JEybg7NmzWLlyJdzd3XHgwAE0bdoUXl5e2oiRiIiIKEtyuaC1La/J0ePHAEBXVxfu7u5wd3dHVFQUDh48iP3792syNiIiIiISKcfJ3efMzc3Rp08f9OnTRxOHIyIiIhKFS6FkEN0tS0REREQ/Lo203BERERHlJq5zl4HJHREREeV5XAolA7tliYiIiPIRttwRERFRnsdu2QxsuSMiIiLKR9hyR0RERHkel0LJwJY7IiIionxEIggCO6mJiIiI8gm23BERERHlI0zuiIiIiPIRJndERERE+QiTOyIiIqJ8hMkdERERUT7C5I6IiIgoH2FyR0RERJSPMLkjIiIiykeY3BERERHlI0zuiIiIiPIRJndERERE+QiTOyIiIqJ8hMkdERERUT6S75K72NhYVKlSBbVr10ZycrJGj92jRw9MnDgx030TJ05Ejx49snx9w4YN4efnp9GYvrR//37Y2tpq7HgfPnzAnj17FD9n9R7kRHh4OGxtbVU2Z2dntG7dGkeOHBF1vPj4eGzfvl1j8X1P2rx31bk/xcjuPtD0fagJfn5+KvdZxYoV4erqiiFDhiAsLEzU8R49eoS///5bO8HmAm3efw0bNlR63+3s7FC1alV0794d165d0+i5xEr/Drpy5UquxvG5K1euqNyr6e9Z586dcenSJVHH+/J7nPK/fJfcHTlyBEWKFEFMTAz++uuv3A7nu2vWrBnOnz+vsePNnz8fhw4dUvzs5+eHSZMmaez4nx/3/PnzOH/+PP755x9s27YNP/30E8aOHYtbt26pfRx/f39s3LhR4/F9D3np3tXWfaBtFhYWivvs/PnzOHnyJObMmYOQkBAMGjQIgiCofayBAwfi7t27Woz2+9L2/de3b1/F+37u3Dns2rULxsbG8PLywqtXrzR+vvxgz549ivfs7Nmz2LBhA/T09DBw4EC8fPlS7eN8+T1O+V++S+727duHevXqwdXVFbt27crtcL47Q0NDFCtWTGPH+/KXnZmZGUxMTDR2/HSmpqYoVqwYihUrhuLFi6NSpUpYuHAh9PX1cezYMbWPI+aX848mL9272roPtE1XV1dxnxUrVgylSpWCu7s7Ro4cicePH+Pff//N7RBzjbbvvwIFCih9xm1sbDBjxgwkJib+8H/M5BZzc3PFe1aiRAlUrVoV8+fPR1JSEk6dOqX2cfLy9yLlTL5K7p48eYLbt2+jTp068PT0xJUrV/Ds2TMAad1II0eOVKp/7do12Nra4vnz5wCAoKAgNG3aFJUrV0aHDh2wdevWHHct2draYvny5XBzc0PdunXx33//AQAiIyPh5eWFypUro2HDhipdiHv27EHLli3h6OgIJycndO3aVal1oGHDhti4cSN+++03ODs7o2bNmpg9ezZSUlIAKHeHZdYNlb6pc76JEyfijz/+wNWrVxWv+bI7Ljg4GD179kS1atVQs2ZNeHt748OHD2rHmxUdHR3o6elBT09PUXby5El06NABTk5OqFy5Mtq2bYt//vlHcb0rVqzAy5cvYWtri/DwcABpv7SaNm0KR0dHNG3aFFu2bIFcLs/2/N/T97531fn/cufOHfTu3RvOzs6oXbs2pk2bhoSEBEVMn98Hf/31F1q2bInKlSuja9euKi0xMpkMCxYsQL169eDs7IyOHTsqtTDv378fjRo1UvzXwcEBbdu2xY0bNxR1kpOTsWzZMri5uaFKlSpo27YtLly4oPQe9u/fH87Ozqhbty7GjBmDyMhItd5/fX19AIBUKlXEO2/ePDRs2BAODg6oUaMGRowYgaioKMX79/LlS6xYsULR3R0TE4MpU6bA1dUV1apVQ8+ePfNMy15ufXemf7bT3/+GDRti3rx5aNasGWrWrImrV69CEASsX78e7u7uqFKlClq1aqVohRIEAe7u7liwYIHScQ8cOAAnJyfExsZm+/8yM1l9Z6R34/7555/o0KEDHBwc0LBhQwQGBiod49ChQ/j111/h6OgId3d3bNmyRbHvW+4VAwMDpfcOEP89ntV7SvmEkI/MnTtXcHJyEhISEoQPHz4IlSpVEnx8fARBEIT9+/cLjo6OQkxMjKL+5MmThc6dOwuCIAinT58W7O3thQ0bNghPnz4VduzYIVSuXFmwsbFR1O/evbswYcKETM89YcIEoXv37oqfbWxshJo1awp37twRgoODBUEQBDc3N8HW1lZYvXq18PTpU2Hr1q2Cvb29cOLECUEQBOHEiROCg4ODcODAASE8PFwIDg4W2rZtK/z666+K47q5uQmVK1cWtmzZIrx48ULYu3evYGtrK/zxxx+CIAjCvn37FDHHxsYKERERiu3q1atClSpVBD8/P7XOFx0dLYwYMULo1KmTEBERofIe3L59W6hUqZIwc+ZM4fHjx8KlS5eEpk2bCm3atBFSUlLUijcsLEywsbERLl++rPR+fvz4UZg1a5Zgb28vhISECIIgCHfv3hXs7OyETZs2CS9evBBCQkKEfv36Ca6urkJSUpIQGxsrzJ07V/jll1+EiIgIISUlRdi1a5dQo0YN4fDhw8KLFy+E48ePC3Xq1BHmzZuX9c30nWn73v3y/szu/8uLFy8EJycnYdy4ccK///4rXL9+XXB3d1f8v//8Prhx44Zga2sr+Pn5CU+fPhV2796tcv7Ro0cLrVq1Ei5fviw8e/ZM8Pf3FypVqiScOXNGEIS0+7ZSpUpChw4dhODgYOHhw4dC165dBQ8PD0EulwuCIAjTpk0TXF1dhWPHjgnPnz8XFi9eLDg4OAhPnjwR3rx5I9SoUUOYNWuW8PjxY+Hu3bvCgAEDBDc3NyEuLk4QBEFYvny54ObmpvLeh4aGCs2bNxfatWsnpKamCoIgCLNmzRIaNmwoXLlyRQgPDxdOnTol1KhRQ5g9e7YgCILw/v174ZdffhHmzp0rfPjwQZDL5UKnTp2EXr16Cbdu3RIeP34sLFq0SKhUqZJw//79HN4V34+27z83Nzdh+fLlSud88+aNMHz4cMHJyUl4+fKlop6Dg4Nw4cIF4c6dO0JSUpKwaNEiwc3NTThz5ozw/PlzYe/e/2vn3GOiuL44/uVhovJKKUporSRYl0VAQEUptrxiVFBg3SIBJbYCWiuWwmqsGB71BdYKSkVbeQgqtryDbOkLKZC0itCWWAVhKw+B4lujgsCCnN8f/nZ+jMtjUX+I5H6SSZiZO/eeOfc7hzP33p0csrGxofT0dCIiOnToEDk5OXE6ISJau3Ytbd68mYiG78unY9BwMUNR3tHRkc6cOUPNzc20Y8cOEgqF1NzcTEREhYWFJBQKKTk5mRobG+n7778nCwsLys3NVUkr5eXlJBAIqKWlheezmzdvUnBwMM2ZM4euX79ORM8Wx4fzKePVZ9wkdz09PWRvb08SiYQ79tFHH9H8+fOpq6uLOjo6yNramvvn1d3dTba2tpSVlUVERKtXr6bQ0FBendHR0c+V3CmCowJnZ2cKCgriHZNIJFyQrKiooNOnT/POf/vttyQUCnl1fPzxx7wynp6eFBERQUT85K4/d+/epUWLFvHuUZX2nr6v/j749NNPSSwW866/fPkyCQQCKi0tVcleRaC0tLQka2trsra2ptmzZ9OsWbPIx8eHzp07x11XU1NDp06d4tVVVlZGAoGA2traiEj5H7iDgwOlpqbyrsnJySFLS0vq6upS8tPLYDS0O1ByN1S/7N+/n5ycnKinp4c7f+7cOTpy5AgR8XUQGhpKvr6+vLp2797Ntd/U1EQCgYBL0hVs3bqVs0mh2/5lioqKSCAQ0I0bN+jhw4dkbm5OGRkZvDpiY2PpwoULdODAAd5LEBHRo0ePaPbs2ZSbm0tET7RhamrK6cza2ppmzZpF8+fPp23bttGdO3e4a/Pz86myspJXX0hICK1Zs4bnQ0XCcvbsWTI1NaV79+7xrlm9evWgMWOsMBr6c3Z2JnNzc87vFhYWJBAIyNXVlYsVinL9Y2RHRwdZWlpSUVERr/74+HjuOW9paSFTU1OqqKggoicJkJmZGf3+++9ENHxfPp3cDRczFOX7l3nw4AEJBAKSSqVEROTt7c3zJxFRZmYmFRYWqqQVRXJnZWXF+czS0pIsLS3J39+fLl++zF030jiuik8Zrz6aw4/tvRqUlZXh9u3bWLZsGXds2bJlKCkpwY8//giRSISlS5dCKpVCJBKhrKwMcrkcrq6uAIDq6mosXryYV6etrS3S0tK4fU1NzUGn8/r6+njD5ABgbGysVG7u3Lm8fSsrK5SVlXHt1dfX4/Dhw2hoaMDVq1dRV1en1OaMGTN4+zo6OkP+uk0ulyMoKAivvfYaYmJiePenSnuDIZPJsHDhQt4xoVAIHR0d1NXVwdHRUWV7d+/eDSsrK3R1dSEzMxOFhYUICAiAnZ0dV8bMzAx6enpITEzk7K2trQUAPH78WMm+u3fv4vr164iLi0N8fDx3vK+vD93d3WhtbVWy7WUwGtodiKH6RSaTwdzcnKdpOzs7Xn8oGEgHNjY2OHHiBACgpqYGALBq1SpemZ6eHujq6g5qk2JNX09PDxobG9HT0wMrKyteeYlEAgBISEjAP//8AxsbG9757u5u1NfXc/tTp07FyZMnAQBtbW3Yu3cvJk+eDIlEAn19fa6cp6cnzp49i/3796OpqQkNDQ1obGzEvHnzlO4feNIHRARnZ2fecblcju7u7gGvGSuMlv58fHy4KWx1dfVB1232j5tXrlxBd3c3Nm/eDHX1/60i6u3thVwuR1dXF6ZNm4b58+dDKpXC1tYWhYWFmDp1KqfVkfSlKjFDMS06mFaBJ89Ef38CgLe3NwAgOTlZZa0kJibC0NAQ7e3tSExMxIULF7Bx40YIhUKer0cSx1Xx6cSJEwe8lvHqMG6Su7y8PADApk2blM5lZGRAJBJBLBbjgw8+wO3btyGVSrFo0SJoa2sDGDpxU6Crq4sHDx4MeO7+/fvQ09PjHRvoAen/MAFPgoZivYlUKsW2bdvg7u7O/eRdJpNh586dvGsU5ftDQyyY3b59O65du4bs7GwuMI2kvcEYrE0i4tYuqWqvoaEhF9QjIyPR2dmJkJAQHD9+nEuIKyoqEBAQACcnJ8ydOxfu7u7o7OxEUFDQgHYo+jMsLAz29vZK542MjFS4y/8/o6HdgRiqX55+URkKNTU1pfb797+izlOnTkFLS4tX7unnYTCb+tc3EH19fbCzs0NUVJTSuf4JhKamJqczY2NjpKSkQCQSYf369cjMzOTaj4yMxM8//wyRSAQXFxcEBQUhJSUFN27cGLR9bW1tri+Hu6exxGjpT09Pb8AX3qfpHzcV2jl48CBMTEyUyip8KxaLER0djfDwcBQUFMDT05PT1kj6UpWYcfPmTV7b/VHl+RmJVt544w1MmzYNABAXF4fAwECsX78eeXl5nC9HGsdV9Snj1WZc/KDizp07KCsrg1gsRn5+Pm97//33UVVVBZlMhnnz5uHNN9/E6dOnUVpaCrFYzNUhFApx4cIFXr1VVVW8fXNzc1y6dAlyuZx3XC6X4++//4alpeWwtlZXV/P2//zzT8ycORPAk7c0Ly8v7N27F6tXr4atrS337a2hkrehSEhIQHFxMb7++msYGBjwzqnSnpqa2qB1m5qa8ha8A0BtbS3a29ufe0QsPDwchoaG2Lp1K7eI/9ixY1iwYAEOHTqEDz/8EAsXLsS1a9cGtff111+Hvr4+WlpaYGxszG3V1dU4ePDgc9n3ohgt7Y6Ut99+GzU1NbwR0aKiIri4uCiNLgiFQqX2Ll26xP2t0PetW7d4/ZCXlzfgP7iBMDY2xoQJE5QWnXt7eyMtLQ0zZ85EfX09jIyMuPr19PQQHR0NmUw2aL0GBgbcp1C++uorAE++CZaZmYmoqCiEhYVBLBbDzMwMDQ0Ngz6HAoEA7e3t6Onp4d1jUlLSiH7VONqMVf0pMDExgaamJtra2nh+LSsrQ0pKCpfALVmyBL29vcjOzkZ1dTVn30j78kXFjBkzZihpNSYmBsHBwc+sFQ0NDezduxfq6ur47LPPuER0pHFcVZ8yXm3GRS8WFBSgt7cX69atg0Ag4G0bNmyAuro6MjIyoKamBpFIhMOHD0NfX583xbRu3Tr89NNPSE1NRVNTE3Jzc5Gens5rx8vLC319fdi0aROqqqrw77//oqKiAhs3boSmpia8vLyGtbWwsBDHjh1DQ0MDEhMTUVRUhI0bNwJ48lb4119/obq6Gs3NzUhLS+NseDqhVAWpVIojR45gz549mDJlCm7dusVtcrlcpfYmT56MmzdvDviB17Vr16Kurg67du1CfX09zp8/jy1btmDWrFl45513Rmxvf7S0tLBr1y60trZy0yNGRkaoq6vDH3/8gdbWVuTm5nLn+tt7//59NDY2cpo4efIk0tPT0dzcjKKiInz++eeYOHHimHhDHS3tjpRVq1bh3r17iIqKQn19PSorK7Fv3z7Y2dnxRn+BJ98vq62txRdffIHGxkYUFBTw2p85cyacnZ0RFRWFX3/9FS0tLUhKSsLRo0cxffp0leyZNGkS/Pz8EB8fj+LiYjQ3NyMuLg4ymQwODg5YtWoVHj58iC1btqC2tha1tbUIDQ3FxYsXIRAIhqzb0dERHh4eSE1NRU1NDbS1taGjo4Pi4mJuiisiIgLV1dW851BLSwtNTU24ffs23nvvPZiZmSE0NBTl5eW4evUqYmJikJeXNyam/gdjrOpPgY6ODnx8fBAfH4/Tp0+jpaUFOTk5+PLLLzF16lSu3KRJk7B06VLExsZizpw53KiWqn2pQE1N7YXEjPXr1+OHH37AyZMn0dzcDKlUiu+++w4uLi7PpRXFC29VVRX3pYWRxnFVfcp4tRkXyV1eXh7s7e0HHGKePn06Fi1ahIKCAjx69AgrVqxAZ2cnb9geABwcHLBz506cOnUKy5cvR3Z2Nnx9fXnTQfr6+sjMzISuri4++eQTLFmyBBKJBAYGBsjKylKalh2IgIAAlJSUwMPDA7m5uYiNjcWCBQsAABERETAwMICfnx9WrlyJkpIS7Nu3DwCe6ZMKWVlZePz4MUJDQ2Fvb493332X26qqqlRqTyQSobOzE8uXL1eaxrCyskJycjIuXboEkUiEkJAQ2NjYIDU1ddhpNFWwt7eHWCzGiRMncPHiRQQHB8Pa2hobNmyASCRCdnY2oqOjMXHiRM7exYsXY8qUKfDw8EBNTQ38/f2xbds2pKenw83NDXv27IG3tzd27Njx3Pa9CEZLuyPF0NCQewkRiUQIDQ2Fs7MzIiMjlcqamZkhKSkJ58+fh4eHB9LS0rBhwwZemQMHDmDx4sWIjIyEm5sb8vPzsWfPHqxYsUJlmyQSCTw9PREVFQV3d3ecP38eiYmJMDExwVtvvYX09HR0dHTA19cXfn5+mDBhAk6cOMFbSzcY27dvh66uLsLDw6Guro74+HjIZDK4u7sjMDAQnZ2dkEgkuHLlCu9zMKWlpfD394eGhgaOHTsGCwsLhISEwMPDA5WVlUhISHjuF53/J2NVf/0JCwvDmjVrEB8fD1dXVxw9ehTBwcFKyzHEYjE6Ojp4o4oTJkxQqS/78yJihouLC+cTNzc3JCQkICwsDCKR6Lm1snLlStjZ2SEuLg5tbW3PFMdV9Snj1UWNnnW+b5xRUVEBAwMDXpD75ptvkJOTgzNnzrxEyxiMoWHaZbxMmP4YjLHHuBi5exH89ttvCAgIQHl5Odra2lBcXIzjx4/D09PzZZvGYAwJ0y7jZcL0x2CMPdjI3X+Ry+XYt28ffvnlF9y9exdGRkbw8vJCYGAgNDQ0XrZ5DMagMO0yXiZMfwzG2IMldwwGg8FgMBjjCDYty2AwGAwGgzGOYMkdg8FgMBgMxjiCJXcMBoPBYDAY4wiW3DEYDAaDwWCMI1hyx2AwGAwGgzGOYMkdg8FgMBgMxjiCJXcMBoPBYDAY4wiW3DEYDAaDwWCMI/4DmW0dRuP6vwkAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Question 5:\n", - "# Does the urbanization rate affect the incidence and prevalence rates of infectious diseases? \n", - "# Are urban areas more vulnerable to certain outbreaks?\n", - "\n", - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AVG(UrbanizationRate) AS AvgUrbanizationRate,\n", - " AVG(IncidenceRate) AS AvgIncidenceRate,\n", - " AVG(PrevalenceRate) AS AvgPrevalenceRate\n", - "FROM HealthStatistics\n", - "WHERE DiseaseCategory = 'Infectious'\n", - "GROUP BY DiseaseName\n", - "ORDER BY AvgUrbanizationRate DESC;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a pandas DataFrame\n", - "df_urbanization = pd.read_sql(query, connection)\n", - "\n", - "df_urbanization.describe()\n", - "# Calculate correlation\n", - "correlation_matrix = df_urbanization[[\n", - " 'AvgUrbanizationRate',\n", - " 'AvgIncidenceRate',\n", - " 'AvgPrevalenceRate'\n", - "]].corr()\n", - "\n", - "print(correlation_matrix)\n", - "\n", - "# Visualize correlation as a heatmap\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "plt.figure(figsize=(8, 6))\n", - "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\")\n", - "plt.title(\"Correlation Between Urbanization and Disease Metrics\")\n", - "plt.show()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\990198507.py:13: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_vaccine = pd.read_sql(query, connection)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName AvailabilityOfVaccinesTreatment AvgMortalityRate \\\n", - "0 Alzheimer's Disease Yes 5.440184 \n", - "1 HIV/AIDS Yes 5.401092 \n", - "2 Influenza Yes 5.390083 \n", - "3 Malaria No 5.360365 \n", - "4 Rabies No 5.339690 \n", - "\n", - " AvgRecoveryRate \n", - "0 75.933502 \n", - "1 74.485672 \n", - "2 73.891701 \n", - "3 73.713059 \n", - "4 74.395177 \n", - " AvailabilityOfVaccinesTreatment AvgMortalityRate AvgRecoveryRate\n", - "0 No 5.023736 74.244544\n", - "1 Yes 5.105629 74.391719\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AvailabilityOfVaccinesTreatment,\n", - " AVG(MortalityRate) AS AvgMortalityRate,\n", - " AVG(RecoveryRate) AS AvgRecoveryRate\n", - "FROM HealthStatistics\n", - "WHERE DiseaseCategory = 'Infectious'\n", - "GROUP BY DiseaseName, AvailabilityOfVaccinesTreatment\n", - "ORDER BY AvgMortalityRate DESC;\n", - "\"\"\"\n", - "\n", - "df_vaccine = pd.read_sql(query, connection)\n", - "print(df_vaccine.head())\n", - "\n", - "df_summary = df_vaccine.groupby(\"AvailabilityOfVaccinesTreatment\").agg({\n", - " \"AvgMortalityRate\": \"mean\",\n", - " \"AvgRecoveryRate\": \"mean\"\n", - "}).reset_index()\n", - "\n", - "print(df_summary)\n", - "\n", - "\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Bar plot for Mortality and Recovery Rates by Vaccine Availability\n", - "df_melted = df_summary.melt(id_vars=\"AvailabilityOfVaccinesTreatment\", \n", - " value_vars=[\"AvgMortalityRate\", \"AvgRecoveryRate\"],\n", - " var_name=\"Metric\", \n", - " value_name=\"Rate\")\n", - "\n", - "plt.figure(figsize=(8, 5))\n", - "sns.barplot(data=df_melted, x=\"AvailabilityOfVaccinesTreatment\", y=\"Rate\", hue=\"Metric\", palette=\"viridis\")\n", - "plt.title(\"Impact of Vaccine Availability on Mortality and Recovery Rates\")\n", - "plt.xlabel(\"Availability of Vaccines/Treatments\")\n", - "plt.ylabel(\"Rate (%)\")\n", - "plt.tight_layout()\n", - "plt.show()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\547848016.py:12: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_dalys = pd.read_sql(query, connection)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName TotalDALYs\n", - "0 Asthma 12889410.0\n", - "1 Influenza 12885168.0\n", - "2 Leprosy 12881995.0\n", - "3 Ebola 12795525.0\n", - "4 Diabetes 12793286.0\n", - "5 COVID-19 12609290.0\n", - "6 HIV/AIDS 12599253.0\n", - "7 Cholera 12580108.0\n", - "8 Alzheimer's Disease 12543637.0\n", - "9 Zika 12521254.0\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " SUM(DALYs) AS TotalDALYs\n", - "FROM HealthStatistics\n", - "GROUP BY DiseaseName\n", - "ORDER BY TotalDALYs DESC\n", - "LIMIT 10;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a DataFrame\n", - "df_dalys = pd.read_sql(query, connection)\n", - "\n", - "# Display the top diseases contributing to DALYs\n", - "print(df_dalys)\n", - "\n", - "\n", - "# Bar plot for top diseases by DALYs\n", - "plt.figure(figsize=(10, 6))\n", - "sns.barplot(data=df_dalys, x=\"TotalDALYs\", y=\"DiseaseName\", palette=\"viridis\")\n", - "plt.title(\"Top Diseases Contributing to DALYs Globally\")\n", - "plt.xlabel(\"Total DALYs\")\n", - "plt.ylabel(\"Disease Name\")\n", - "plt.tight_layout()\n", - "plt.show()\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.10" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Business Challenge: EDA and SQL\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Connected to the WHO_health_data database successfully!\n" + ] + } + ], + "source": [ + "# import pymysql\n", + "from sqlalchemy.orm import sessionmaker\n", + "from sqlalchemy import create_engine\n", + "\n", + "\n", + "\n", + "# Switch to SQLAlchemy, because of UserWarning: \n", + "\n", + "# Database connection settings\n", + "host = \"localhost\" # host, e.g., 127.0.0.1 or a server address\n", + "user = \"root\" # MySQL username\n", + "password = \"Malcomx1\" # MySQL password\n", + "database = \"WHO_health_data\" # database name\n", + "\n", + "# # Establish the connection\n", + "# connection = pymysql.connect(\n", + "# host=host,\n", + "# user=user,\n", + "# password=password,\n", + "# database=database\n", + "# )\n", + "\n", + "# creates a SQLAlchemy engine, which serves as the entry point for interacting with the database\n", + "engine = create_engine(f\"mysql+pymysql://{user}:{password}@{host}/{database}\")\n", + "Session = sessionmaker(bind=engine)\n", + "session = Session()\n", + "\n", + "print(f\"Connected to the {database} database successfully!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "from sqlalchemy import Column, Integer, String, Float, Text, ForeignKey\n", + "from sqlalchemy.ext.declarative import declarative_base\n", + "\n", + "Base = declarative_base()\n", + "\n", + "class Indicator(Base):\n", + " __tablename__ = 'indicators'\n", + " indicator_id = Column(String(50), primary_key=True)\n", + " indicator_name = Column(Text, nullable=False)\n", + " description = Column(Text)\n", + " source = Column(Text)\n", + "\n", + "class Data(Base):\n", + " __tablename__ = 'data'\n", + " data_id = Column(Integer, primary_key=True, autoincrement=True)\n", + " indicator_id = Column(String(50), ForeignKey('indicators.indicator_id'))\n", + " year = Column(Integer)\n", + " value = Column(Float)\n", + " spatial_dimension = Column(String(50))\n", + " dimension_code = Column(String(50))\n", + "\n", + "class Dimension(Base):\n", + " __tablename__ = 'dimensions'\n", + " dimension_code = Column(String(50), primary_key=True)\n", + " dimension_name = Column(Text, nullable=False)\n", + " description = Column(Text)\n", + "\n", + "class Country(Base):\n", + " __tablename__ = 'countries'\n", + " code = Column(String(50), primary_key=True)\n", + " title = Column(Text, nullable=False)\n", + " region = Column(Text)\n", + " parent_code = Column(String(50))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "Base.metadata.create_all(engine)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dimension 0\n", + "Code 0\n", + "Title 0\n", + "ParentDimension 5\n", + "ParentCode 5\n", + "ParentTitle 5\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "# Load the data\n", + "\n", + "hygiene_data = pd.read_csv(r'world_health_statistics\\data\\WSH_HYGIENE_BASIC.csv')\n", + "country_data = pd.read_csv(r'world_health_statistics\\codes\\COUNTRY.csv')\n", + "\n", + "# Check for NaN values\n", + "print(country_data.isnull().sum()) # This will show which columns contain NaN values\n", + "\n", + "# Replace NaN with default values or drop rows with NaN\n", + "# Option 1: Replace NaN with default strings (e.g., \"Unknown\")\n", + "country_data.fillna(\"Unknown\", inplace=True)\n", + "\n", + "# Option 2: Drop rows with NaN values (only if it makes sense to drop them)\n", + "# country_data.dropna(inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# Close the session\n", + "session.close()\n", + "# Restart the session\n", + "session = Session()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "from sqlalchemy.exc import IntegrityError\n", + "\n", + "for _, row in country_data.iterrows():\n", + " country = Country(\n", + " code=row['Code'],\n", + " title=row['Title'],\n", + " region=row['ParentTitle'],\n", + " parent_code=row['ParentCode']\n", + " )\n", + " session.add(country)\n", + "\n", + "try:\n", + " session.commit()\n", + "except IntegrityError as e:\n", + " session.rollback()\n", + " print(f\"Error: {e}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "ename": "ProgrammingError", + "evalue": "(pymysql.err.ProgrammingError) nan can not be used with MySQL\n[SQL: INSERT INTO countries (code, title, region, parent_code) VALUES (%(code)s, %(title)s, %(region)s, %(parent_code)s)]\n[parameters: ({'code': 'ABW', 'title': 'Aruba', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'AFG', 'title': 'Afghanistan', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'AGO', 'title': 'Angola', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'AIA', 'title': 'Anguilla', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'ALB', 'title': 'Albania', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'AND', 'title': 'Andorra', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'ARE', 'title': 'United Arab Emirates', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'ARG', 'title': 'Argentina', 'region': 'Americas', 'parent_code': 'AMR'} ... displaying 10 of 233 total bound parameter sets ... {'code': 'ZMB', 'title': 'Zambia', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'ZWE', 'title': 'Zimbabwe', 'region': 'Africa', 'parent_code': 'AFR'})]\n(Background on this error at: https://sqlalche.me/e/14/f405)", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mProgrammingError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1890\u001b[0m, in \u001b[0;36mConnection._execute_context\u001b[1;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001b[0m\n\u001b[0;32m 1889\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m evt_handled:\n\u001b[1;32m-> 1890\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_executemany\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1891\u001b[0m \u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[0;32m 1892\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1893\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m parameters \u001b[38;5;129;01mand\u001b[39;00m context\u001b[38;5;241m.\u001b[39mno_parameters:\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\dialects\\mysql\\mysqldb.py:183\u001b[0m, in \u001b[0;36mMySQLDialect_mysqldb.do_executemany\u001b[1;34m(self, cursor, statement, parameters, context)\u001b[0m\n\u001b[0;32m 182\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdo_executemany\u001b[39m(\u001b[38;5;28mself\u001b[39m, cursor, statement, parameters, context\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m--> 183\u001b[0m rowcount \u001b[38;5;241m=\u001b[39m \u001b[43mcursor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecutemany\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m context \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:182\u001b[0m, in \u001b[0;36mCursor.executemany\u001b[1;34m(self, query, args)\u001b[0m\n\u001b[0;32m 181\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m q_values[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m q_values[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 182\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_do_execute_many\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 183\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_prefix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_values\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 185\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_postfix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 186\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 187\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_stmt_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 188\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_db\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 189\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 191\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msum\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexecute(query, arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:211\u001b[0m, in \u001b[0;36mCursor._do_execute_many\u001b[1;34m(self, prefix, values, postfix, args, max_stmt_length, encoding)\u001b[0m\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args:\n\u001b[1;32m--> 211\u001b[0m v \u001b[38;5;241m=\u001b[39m values \u001b[38;5;241m%\u001b[39m \u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(v, \u001b[38;5;28mstr\u001b[39m):\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36mCursor._escape_args\u001b[1;34m(self, args, conn)\u001b[0m\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: conn\u001b[38;5;241m.\u001b[39mliteral(val) \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mliteral\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:530\u001b[0m, in \u001b[0;36mConnection.literal\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m 526\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Alias for escape().\u001b[39;00m\n\u001b[0;32m 527\u001b[0m \n\u001b[0;32m 528\u001b[0m \u001b[38;5;124;03mNon-standard, for internal use; do not use this in your applications.\u001b[39;00m\n\u001b[0;32m 529\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m--> 530\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoders\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:523\u001b[0m, in \u001b[0;36mConnection.escape\u001b[1;34m(self, obj, mapping)\u001b[0m\n\u001b[0;32m 522\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ret\n\u001b[1;32m--> 523\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconverters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape_item\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcharset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:25\u001b[0m, in \u001b[0;36mescape_item\u001b[1;34m(val, charset, mapping)\u001b[0m\n\u001b[0;32m 24\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m---> 25\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43mencoder\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 26\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:56\u001b[0m, in \u001b[0;36mescape_float\u001b[1;34m(value, mapping)\u001b[0m\n\u001b[0;32m 55\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m s \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m-inf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnan\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m---> 56\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ProgrammingError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m can not be used with MySQL\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m s)\n\u001b[0;32m 57\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124me\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m s:\n", + "\u001b[1;31mProgrammingError\u001b[0m: nan can not be used with MySQL", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[1;31mProgrammingError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[10], line 13\u001b[0m\n\u001b[0;32m 10\u001b[0m session\u001b[38;5;241m.\u001b[39madd(country)\n\u001b[0;32m 12\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 13\u001b[0m \u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcommit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m IntegrityError:\n\u001b[0;32m 15\u001b[0m session\u001b[38;5;241m.\u001b[39mrollback()\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:1454\u001b[0m, in \u001b[0;36mSession.commit\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1451\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_autobegin():\n\u001b[0;32m 1452\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m sa_exc\u001b[38;5;241m.\u001b[39mInvalidRequestError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo transaction is begun.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m-> 1454\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_transaction\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcommit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m_to_root\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfuture\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:832\u001b[0m, in \u001b[0;36mSessionTransaction.commit\u001b[1;34m(self, _to_root)\u001b[0m\n\u001b[0;32m 830\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_assert_active(prepared_ok\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m 831\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m PREPARED:\n\u001b[1;32m--> 832\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_prepare_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 834\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_parent \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnested:\n\u001b[0;32m 835\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m conn, trans, should_commit, autoclose \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mset\u001b[39m(\n\u001b[0;32m 836\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connections\u001b[38;5;241m.\u001b[39mvalues()\n\u001b[0;32m 837\u001b[0m ):\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:811\u001b[0m, in \u001b[0;36mSessionTransaction._prepare_impl\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 809\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msession\u001b[38;5;241m.\u001b[39m_is_clean():\n\u001b[0;32m 810\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m--> 811\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mflush\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 812\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 813\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mFlushError(\n\u001b[0;32m 814\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOver 100 subsequent flushes have occurred within \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 815\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msession.commit() - is an after_flush() hook \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 816\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcreating new objects?\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 817\u001b[0m )\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:3449\u001b[0m, in \u001b[0;36mSession.flush\u001b[1;34m(self, objects)\u001b[0m\n\u001b[0;32m 3447\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 3448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flushing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m-> 3449\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_flush\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobjects\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 3450\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 3451\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flushing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:3588\u001b[0m, in \u001b[0;36mSession._flush\u001b[1;34m(self, objects)\u001b[0m\n\u001b[0;32m 3585\u001b[0m transaction\u001b[38;5;241m.\u001b[39mcommit()\n\u001b[0;32m 3587\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[1;32m-> 3588\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m util\u001b[38;5;241m.\u001b[39msafe_reraise():\n\u001b[0;32m 3589\u001b[0m transaction\u001b[38;5;241m.\u001b[39mrollback(_capture_exception\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\util\\langhelpers.py:70\u001b[0m, in \u001b[0;36msafe_reraise.__exit__\u001b[1;34m(self, type_, value, traceback)\u001b[0m\n\u001b[0;32m 68\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exc_info \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;66;03m# remove potential circular references\u001b[39;00m\n\u001b[0;32m 69\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mwarn_only:\n\u001b[1;32m---> 70\u001b[0m \u001b[43mcompat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 71\u001b[0m \u001b[43m \u001b[49m\u001b[43mexc_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 72\u001b[0m \u001b[43m \u001b[49m\u001b[43mwith_traceback\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexc_tb\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 73\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 74\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 75\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m compat\u001b[38;5;241m.\u001b[39mpy3k \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exc_info \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exc_info[\u001b[38;5;241m1\u001b[39m]:\n\u001b[0;32m 76\u001b[0m \u001b[38;5;66;03m# emulate Py3K's behavior of telling us when an exception\u001b[39;00m\n\u001b[0;32m 77\u001b[0m \u001b[38;5;66;03m# occurs in an exception handler.\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\util\\compat.py:211\u001b[0m, in \u001b[0;36mraise_\u001b[1;34m(***failed resolving arguments***)\u001b[0m\n\u001b[0;32m 208\u001b[0m exception\u001b[38;5;241m.\u001b[39m__cause__ \u001b[38;5;241m=\u001b[39m replace_context\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 211\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exception\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 213\u001b[0m \u001b[38;5;66;03m# credit to\u001b[39;00m\n\u001b[0;32m 214\u001b[0m \u001b[38;5;66;03m# https://cosmicpercolator.com/2016/01/13/exception-leaks-in-python-2-and-3/\u001b[39;00m\n\u001b[0;32m 215\u001b[0m \u001b[38;5;66;03m# as the __traceback__ object creates a cycle\u001b[39;00m\n\u001b[0;32m 216\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m exception, replace_context, from_, with_traceback\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:3549\u001b[0m, in \u001b[0;36mSession._flush\u001b[1;34m(self, objects)\u001b[0m\n\u001b[0;32m 3547\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_warn_on_events \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m 3548\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 3549\u001b[0m \u001b[43mflush_context\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 3550\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 3551\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_warn_on_events \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\unitofwork.py:456\u001b[0m, in \u001b[0;36mUOWTransaction.execute\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 454\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 455\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m rec \u001b[38;5;129;01min\u001b[39;00m topological\u001b[38;5;241m.\u001b[39msort(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdependencies, postsort_actions):\n\u001b[1;32m--> 456\u001b[0m \u001b[43mrec\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\unitofwork.py:630\u001b[0m, in \u001b[0;36mSaveUpdateAll.execute\u001b[1;34m(self, uow)\u001b[0m\n\u001b[0;32m 628\u001b[0m \u001b[38;5;129m@util\u001b[39m\u001b[38;5;241m.\u001b[39mpreload_module(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msqlalchemy.orm.persistence\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 629\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mexecute\u001b[39m(\u001b[38;5;28mself\u001b[39m, uow):\n\u001b[1;32m--> 630\u001b[0m \u001b[43mutil\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpreloaded\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morm_persistence\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msave_obj\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 631\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 632\u001b[0m \u001b[43m \u001b[49m\u001b[43muow\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstates_for_mapper_hierarchy\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 633\u001b[0m \u001b[43m \u001b[49m\u001b[43muow\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 634\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\persistence.py:245\u001b[0m, in \u001b[0;36msave_obj\u001b[1;34m(base_mapper, states, uowtransaction, single)\u001b[0m\n\u001b[0;32m 233\u001b[0m update \u001b[38;5;241m=\u001b[39m _collect_update_commands(\n\u001b[0;32m 234\u001b[0m uowtransaction, table, states_to_update\n\u001b[0;32m 235\u001b[0m )\n\u001b[0;32m 237\u001b[0m _emit_update_statements(\n\u001b[0;32m 238\u001b[0m base_mapper,\n\u001b[0;32m 239\u001b[0m uowtransaction,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 242\u001b[0m update,\n\u001b[0;32m 243\u001b[0m )\n\u001b[1;32m--> 245\u001b[0m \u001b[43m_emit_insert_statements\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 246\u001b[0m \u001b[43m \u001b[49m\u001b[43mbase_mapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 247\u001b[0m \u001b[43m \u001b[49m\u001b[43muowtransaction\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 248\u001b[0m \u001b[43m \u001b[49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 249\u001b[0m \u001b[43m \u001b[49m\u001b[43mtable\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 250\u001b[0m \u001b[43m \u001b[49m\u001b[43minsert\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 251\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 253\u001b[0m _finalize_insert_update_commands(\n\u001b[0;32m 254\u001b[0m base_mapper,\n\u001b[0;32m 255\u001b[0m uowtransaction,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 271\u001b[0m ),\n\u001b[0;32m 272\u001b[0m )\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\persistence.py:1097\u001b[0m, in \u001b[0;36m_emit_insert_statements\u001b[1;34m(base_mapper, uowtransaction, mapper, table, insert, bookkeeping)\u001b[0m\n\u001b[0;32m 1094\u001b[0m records \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(records)\n\u001b[0;32m 1095\u001b[0m multiparams \u001b[38;5;241m=\u001b[39m [rec[\u001b[38;5;241m2\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m rec \u001b[38;5;129;01min\u001b[39;00m records]\n\u001b[1;32m-> 1097\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_20\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1098\u001b[0m \u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmultiparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexecution_options\u001b[49m\n\u001b[0;32m 1099\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1101\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m bookkeeping:\n\u001b[0;32m 1102\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m (\n\u001b[0;32m 1103\u001b[0m (\n\u001b[0;32m 1104\u001b[0m state,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1113\u001b[0m last_inserted_params,\n\u001b[0;32m 1114\u001b[0m ) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(records, c\u001b[38;5;241m.\u001b[39mcontext\u001b[38;5;241m.\u001b[39mcompiled_parameters):\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1710\u001b[0m, in \u001b[0;36mConnection._execute_20\u001b[1;34m(self, statement, parameters, execution_options)\u001b[0m\n\u001b[0;32m 1706\u001b[0m util\u001b[38;5;241m.\u001b[39mraise_(\n\u001b[0;32m 1707\u001b[0m exc\u001b[38;5;241m.\u001b[39mObjectNotExecutableError(statement), replace_context\u001b[38;5;241m=\u001b[39merr\n\u001b[0;32m 1708\u001b[0m )\n\u001b[0;32m 1709\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 1710\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmeth\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs_10style\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs_10style\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\sql\\elements.py:334\u001b[0m, in \u001b[0;36mClauseElement._execute_on_connection\u001b[1;34m(self, connection, multiparams, params, execution_options, _force)\u001b[0m\n\u001b[0;32m 330\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_execute_on_connection\u001b[39m(\n\u001b[0;32m 331\u001b[0m \u001b[38;5;28mself\u001b[39m, connection, multiparams, params, execution_options, _force\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m 332\u001b[0m ):\n\u001b[0;32m 333\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m _force \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msupports_execution:\n\u001b[1;32m--> 334\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_clauseelement\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 335\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmultiparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\n\u001b[0;32m 336\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 337\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 338\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mObjectNotExecutableError(\u001b[38;5;28mself\u001b[39m)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1577\u001b[0m, in \u001b[0;36mConnection._execute_clauseelement\u001b[1;34m(self, elem, multiparams, params, execution_options)\u001b[0m\n\u001b[0;32m 1565\u001b[0m compiled_cache \u001b[38;5;241m=\u001b[39m execution_options\u001b[38;5;241m.\u001b[39mget(\n\u001b[0;32m 1566\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcompiled_cache\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mengine\u001b[38;5;241m.\u001b[39m_compiled_cache\n\u001b[0;32m 1567\u001b[0m )\n\u001b[0;32m 1569\u001b[0m compiled_sql, extracted_params, cache_hit \u001b[38;5;241m=\u001b[39m elem\u001b[38;5;241m.\u001b[39m_compile_w_cache(\n\u001b[0;32m 1570\u001b[0m dialect\u001b[38;5;241m=\u001b[39mdialect,\n\u001b[0;32m 1571\u001b[0m compiled_cache\u001b[38;5;241m=\u001b[39mcompiled_cache,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1575\u001b[0m linting\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdialect\u001b[38;5;241m.\u001b[39mcompiler_linting \u001b[38;5;241m|\u001b[39m compiler\u001b[38;5;241m.\u001b[39mWARN_LINTING,\n\u001b[0;32m 1576\u001b[0m )\n\u001b[1;32m-> 1577\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_context\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1578\u001b[0m \u001b[43m \u001b[49m\u001b[43mdialect\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1579\u001b[0m \u001b[43m \u001b[49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecution_ctx_cls\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_init_compiled\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1580\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompiled_sql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1581\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1582\u001b[0m \u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1583\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompiled_sql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1584\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1585\u001b[0m \u001b[43m \u001b[49m\u001b[43melem\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1586\u001b[0m \u001b[43m \u001b[49m\u001b[43mextracted_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1587\u001b[0m \u001b[43m \u001b[49m\u001b[43mcache_hit\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_hit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1588\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1589\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m has_events:\n\u001b[0;32m 1590\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdispatch\u001b[38;5;241m.\u001b[39mafter_execute(\n\u001b[0;32m 1591\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m 1592\u001b[0m elem,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1596\u001b[0m ret,\n\u001b[0;32m 1597\u001b[0m )\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1953\u001b[0m, in \u001b[0;36mConnection._execute_context\u001b[1;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001b[0m\n\u001b[0;32m 1950\u001b[0m branched\u001b[38;5;241m.\u001b[39mclose()\n\u001b[0;32m 1952\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m-> 1953\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_handle_dbapi_exception\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1954\u001b[0m \u001b[43m \u001b[49m\u001b[43me\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[0;32m 1955\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1957\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:2134\u001b[0m, in \u001b[0;36mConnection._handle_dbapi_exception\u001b[1;34m(self, e, statement, parameters, cursor, context)\u001b[0m\n\u001b[0;32m 2132\u001b[0m util\u001b[38;5;241m.\u001b[39mraise_(newraise, with_traceback\u001b[38;5;241m=\u001b[39mexc_info[\u001b[38;5;241m2\u001b[39m], from_\u001b[38;5;241m=\u001b[39me)\n\u001b[0;32m 2133\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m should_wrap:\n\u001b[1;32m-> 2134\u001b[0m \u001b[43mutil\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2135\u001b[0m \u001b[43m \u001b[49m\u001b[43msqlalchemy_exception\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwith_traceback\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexc_info\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfrom_\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43me\u001b[49m\n\u001b[0;32m 2136\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2137\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 2138\u001b[0m util\u001b[38;5;241m.\u001b[39mraise_(exc_info[\u001b[38;5;241m1\u001b[39m], with_traceback\u001b[38;5;241m=\u001b[39mexc_info[\u001b[38;5;241m2\u001b[39m])\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\util\\compat.py:211\u001b[0m, in \u001b[0;36mraise_\u001b[1;34m(***failed resolving arguments***)\u001b[0m\n\u001b[0;32m 208\u001b[0m exception\u001b[38;5;241m.\u001b[39m__cause__ \u001b[38;5;241m=\u001b[39m replace_context\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 211\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exception\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 213\u001b[0m \u001b[38;5;66;03m# credit to\u001b[39;00m\n\u001b[0;32m 214\u001b[0m \u001b[38;5;66;03m# https://cosmicpercolator.com/2016/01/13/exception-leaks-in-python-2-and-3/\u001b[39;00m\n\u001b[0;32m 215\u001b[0m \u001b[38;5;66;03m# as the __traceback__ object creates a cycle\u001b[39;00m\n\u001b[0;32m 216\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m exception, replace_context, from_, with_traceback\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1890\u001b[0m, in \u001b[0;36mConnection._execute_context\u001b[1;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001b[0m\n\u001b[0;32m 1888\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[0;32m 1889\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m evt_handled:\n\u001b[1;32m-> 1890\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_executemany\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1891\u001b[0m \u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[0;32m 1892\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1893\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m parameters \u001b[38;5;129;01mand\u001b[39;00m context\u001b[38;5;241m.\u001b[39mno_parameters:\n\u001b[0;32m 1894\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdialect\u001b[38;5;241m.\u001b[39m_has_events:\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\dialects\\mysql\\mysqldb.py:183\u001b[0m, in \u001b[0;36mMySQLDialect_mysqldb.do_executemany\u001b[1;34m(self, cursor, statement, parameters, context)\u001b[0m\n\u001b[0;32m 182\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdo_executemany\u001b[39m(\u001b[38;5;28mself\u001b[39m, cursor, statement, parameters, context\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m--> 183\u001b[0m rowcount \u001b[38;5;241m=\u001b[39m \u001b[43mcursor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecutemany\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m context \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 185\u001b[0m context\u001b[38;5;241m.\u001b[39m_rowcount \u001b[38;5;241m=\u001b[39m rowcount\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:182\u001b[0m, in \u001b[0;36mCursor.executemany\u001b[1;34m(self, query, args)\u001b[0m\n\u001b[0;32m 180\u001b[0m q_postfix \u001b[38;5;241m=\u001b[39m m\u001b[38;5;241m.\u001b[39mgroup(\u001b[38;5;241m3\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 181\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m q_values[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m q_values[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 182\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_do_execute_many\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 183\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_prefix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_values\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 185\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_postfix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 186\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 187\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_stmt_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 188\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_db\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 189\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 191\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msum\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexecute(query, arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n\u001b[0;32m 192\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:211\u001b[0m, in \u001b[0;36mCursor._do_execute_many\u001b[1;34m(self, prefix, values, postfix, args, max_stmt_length, encoding)\u001b[0m\n\u001b[0;32m 209\u001b[0m rows \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args:\n\u001b[1;32m--> 211\u001b[0m v \u001b[38;5;241m=\u001b[39m values \u001b[38;5;241m%\u001b[39m \u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(v, \u001b[38;5;28mstr\u001b[39m):\n\u001b[0;32m 213\u001b[0m v \u001b[38;5;241m=\u001b[39m v\u001b[38;5;241m.\u001b[39mencode(encoding, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msurrogateescape\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36mCursor._escape_args\u001b[1;34m(self, args, conn)\u001b[0m\n\u001b[0;32m 102\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mtuple\u001b[39m(conn\u001b[38;5;241m.\u001b[39mliteral(arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: conn\u001b[38;5;241m.\u001b[39mliteral(val) \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n\u001b[0;32m 108\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m conn\u001b[38;5;241m.\u001b[39mescape(args)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 102\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mtuple\u001b[39m(conn\u001b[38;5;241m.\u001b[39mliteral(arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mliteral\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n\u001b[0;32m 108\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m conn\u001b[38;5;241m.\u001b[39mescape(args)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:530\u001b[0m, in \u001b[0;36mConnection.literal\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m 525\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mliteral\u001b[39m(\u001b[38;5;28mself\u001b[39m, obj):\n\u001b[0;32m 526\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Alias for escape().\u001b[39;00m\n\u001b[0;32m 527\u001b[0m \n\u001b[0;32m 528\u001b[0m \u001b[38;5;124;03m Non-standard, for internal use; do not use this in your applications.\u001b[39;00m\n\u001b[0;32m 529\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 530\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoders\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:523\u001b[0m, in \u001b[0;36mConnection.escape\u001b[1;34m(self, obj, mapping)\u001b[0m\n\u001b[0;32m 521\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_binary\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m ret\n\u001b[0;32m 522\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ret\n\u001b[1;32m--> 523\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconverters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape_item\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcharset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:25\u001b[0m, in \u001b[0;36mescape_item\u001b[1;34m(val, charset, mapping)\u001b[0m\n\u001b[0;32m 23\u001b[0m val \u001b[38;5;241m=\u001b[39m encoder(val, charset, mapping)\n\u001b[0;32m 24\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m---> 25\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43mencoder\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 26\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:56\u001b[0m, in \u001b[0;36mescape_float\u001b[1;34m(value, mapping)\u001b[0m\n\u001b[0;32m 54\u001b[0m s \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mrepr\u001b[39m(value)\n\u001b[0;32m 55\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m s \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m-inf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnan\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m---> 56\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ProgrammingError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m can not be used with MySQL\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m s)\n\u001b[0;32m 57\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124me\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m s:\n\u001b[0;32m 58\u001b[0m s \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124me0\u001b[39m\u001b[38;5;124m\"\u001b[39m\n", + "\u001b[1;31mProgrammingError\u001b[0m: (pymysql.err.ProgrammingError) nan can not be used with MySQL\n[SQL: INSERT INTO countries (code, title, region, parent_code) VALUES (%(code)s, %(title)s, %(region)s, %(parent_code)s)]\n[parameters: ({'code': 'ABW', 'title': 'Aruba', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'AFG', 'title': 'Afghanistan', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'AGO', 'title': 'Angola', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'AIA', 'title': 'Anguilla', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'ALB', 'title': 'Albania', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'AND', 'title': 'Andorra', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'ARE', 'title': 'United Arab Emirates', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'ARG', 'title': 'Argentina', 'region': 'Americas', 'parent_code': 'AMR'} ... displaying 10 of 233 total bound parameter sets ... {'code': 'ZMB', 'title': 'Zambia', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'ZWE', 'title': 'Zimbabwe', 'region': 'Africa', 'parent_code': 'AFR'})]\n(Background on this error at: https://sqlalche.me/e/14/f405)" + ] + } + ], + "source": [ + "from sqlalchemy.exc import IntegrityError\n", + "\n", + "for _, row in country_data.iterrows():\n", + " country = Country(\n", + " code=row['Code'],\n", + " title=row['Title'],\n", + " region=row['ParentTitle'],\n", + " parent_code=row['ParentCode']\n", + " )\n", + " session.add(country)\n", + "\n", + "try:\n", + " session.commit()\n", + "except IntegrityError:\n", + " session.rollback()\n", + " print(\"Duplicate entries skipped.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " id Country Year DiseaseName DiseaseCategory \\\n", + "0 3 Turkey 2015 COVID-19 Genetic \n", + "1 11 Canada 2011 Leprosy Cardiovascular \n", + "2 23 South Africa 2014 Malaria Bacterial \n", + "3 38 Turkey 2006 Malaria Cardiovascular \n", + "4 43 Indonesia 2000 Rabies Bacterial \n", + "... ... ... ... ... ... \n", + "19986 99980 Australia 2017 Hypertension Neurological \n", + "19987 99984 UK 2010 Measles Metabolic \n", + "19988 99985 Canada 2001 Alzheimer's Disease Bacterial \n", + "19989 99986 South Korea 2004 Measles Respiratory \n", + "19990 99987 Russia 2005 Asthma Chronic \n", + "\n", + " PrevalenceRate IncidenceRate MortalityRate AgeGroup Gender ... \\\n", + "0 0.91 2.35 6.22 36-60 Male ... \n", + "1 11.15 0.60 2.97 36-60 Female ... \n", + "2 5.94 4.29 2.36 61+ Female ... \n", + "3 10.53 2.50 5.09 0-18 Male ... \n", + "4 1.22 13.78 3.90 0-18 Male ... \n", + "... ... ... ... ... ... ... \n", + "19986 2.55 0.84 6.96 19-35 Male ... \n", + "19987 16.48 3.29 6.63 36-60 Male ... \n", + "19988 15.71 10.18 5.12 36-60 Male ... \n", + "19989 1.10 10.82 6.33 36-60 Male ... \n", + "19990 10.69 7.84 4.42 61+ Other ... \n", + "\n", + " HospitalBedsPer1000 TreatmentType AverageTreatmentCost \\\n", + "0 3.49 Vaccination 27834.0 \n", + "1 1.99 Surgery 19993.0 \n", + "2 6.88 Therapy 14578.0 \n", + "3 2.95 Vaccination 29311.0 \n", + "4 3.53 Therapy 45214.0 \n", + "... ... ... ... \n", + "19986 1.05 Surgery 15056.0 \n", + "19987 6.46 Therapy 7088.0 \n", + "19988 3.28 Medication 42658.0 \n", + "19989 2.97 Therapy 5205.0 \n", + "19990 8.89 Medication 2377.0 \n", + "\n", + " AvailabilityOfVaccinesTreatment RecoveryRate DALYs \\\n", + "0 Yes 98.55 41.0 \n", + "1 Yes 76.16 4238.0 \n", + "2 Yes 72.97 433.0 \n", + "3 Yes 93.53 110.0 \n", + "4 Yes 97.84 4746.0 \n", + "... ... ... ... \n", + "19986 Yes 89.41 680.0 \n", + "19987 No 63.23 399.0 \n", + "19988 Yes 82.12 3051.0 \n", + "19989 Yes 87.74 382.0 \n", + "19990 Yes 50.31 2814.0 \n", + "\n", + " ImprovementIn5Years PerCapitaIncome EducationIndex UrbanizationRate \n", + "0 5.81 12245.0 0.41 40.20 \n", + "1 1.23 44699.0 0.58 51.50 \n", + "2 1.40 52974.0 0.53 43.97 \n", + "3 6.45 51865.0 0.74 58.38 \n", + "4 3.30 24147.0 0.73 79.39 \n", + "... ... ... ... ... \n", + "19986 1.71 37060.0 0.64 47.46 \n", + "19987 1.14 73707.0 0.60 45.20 \n", + "19988 2.52 52542.0 0.61 47.49 \n", + "19989 3.38 67734.0 0.83 76.76 \n", + "19990 3.43 44723.0 0.81 72.82 \n", + "\n", + "[19991 rows x 23 columns]\n" + ] + } + ], + "source": [ + "# Switch to SQLAlchemy, because of UserWarning: \n", + "\n", + "import pandas as pd\n", + "\n", + "query = \"\"\"\n", + "SELECT *\n", + "FROM HealthStatistics\n", + "WHERE RAND() <= 0.2;\n", + "\"\"\"\n", + "\n", + "df_healtstatistics_sample = pd.read_sql(query, engine)\n", + "\n", + "print(df_healtstatistics_sample)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " id Country Year DiseaseName DiseaseCategory PrevalenceRate \\\n", + "0 105 Australia 2020 Malaria Genetic 12.89 \n", + "1 486 Nigeria 2020 Malaria Bacterial 18.91 \n", + "2 1200 China 2020 Malaria Neurological 7.81 \n", + "3 1325 Argentina 2020 Malaria Autoimmune 2.21 \n", + "4 1544 Australia 2020 Malaria Metabolic 1.60 \n", + ".. ... ... ... ... ... ... \n", + "196 99253 South Africa 2020 Malaria Respiratory 9.22 \n", + "197 99350 Turkey 2020 Malaria Bacterial 7.57 \n", + "198 99402 India 2020 Malaria Metabolic 13.16 \n", + "199 99406 Mexico 2020 Malaria Genetic 1.28 \n", + "200 99475 Indonesia 2020 Malaria Metabolic 15.20 \n", + "\n", + " IncidenceRate MortalityRate AgeGroup Gender ... HospitalBedsPer1000 \\\n", + "0 12.34 1.52 36-60 Other ... 5.35 \n", + "1 13.31 1.37 61+ Female ... 7.57 \n", + "2 2.24 8.67 61+ Female ... 2.86 \n", + "3 10.05 7.41 19-35 Other ... 2.04 \n", + "4 0.84 5.24 19-35 Male ... 7.22 \n", + ".. ... ... ... ... ... ... \n", + "196 13.76 9.81 19-35 Male ... 5.95 \n", + "197 10.89 6.23 0-18 Other ... 9.79 \n", + "198 4.00 6.32 61+ Other ... 9.47 \n", + "199 13.18 1.02 61+ Other ... 9.76 \n", + "200 3.84 0.54 36-60 Female ... 7.74 \n", + "\n", + " TreatmentType AverageTreatmentCost AvailabilityOfVaccinesTreatment \\\n", + "0 Medication 9153.0 Yes \n", + "1 Vaccination 40849.0 No \n", + "2 Surgery 29742.0 No \n", + "3 Medication 25557.0 No \n", + "4 Vaccination 14504.0 Yes \n", + ".. ... ... ... \n", + "196 Surgery 13942.0 No \n", + "197 Therapy 18890.0 Yes \n", + "198 Therapy 22365.0 Yes \n", + "199 Surgery 22522.0 Yes \n", + "200 Therapy 27101.0 No \n", + "\n", + " RecoveryRate DALYs ImprovementIn5Years PerCapitaIncome EducationIndex \\\n", + "0 85.70 3411.0 1.03 13201.0 0.62 \n", + "1 56.59 4604.0 0.13 35250.0 0.89 \n", + "2 55.98 1288.0 8.50 5954.0 0.83 \n", + "3 77.72 4074.0 7.04 99936.0 0.54 \n", + "4 67.36 391.0 9.61 24293.0 0.81 \n", + ".. ... ... ... ... ... \n", + "196 97.84 2531.0 6.81 84482.0 0.67 \n", + "197 67.85 4101.0 4.88 39904.0 0.59 \n", + "198 81.07 105.0 6.68 67995.0 0.67 \n", + "199 65.91 4689.0 0.86 31437.0 0.44 \n", + "200 78.98 4520.0 0.86 59791.0 0.74 \n", + "\n", + " UrbanizationRate \n", + "0 34.93 \n", + "1 35.01 \n", + "2 85.54 \n", + "3 31.58 \n", + "4 41.08 \n", + ".. ... \n", + "196 46.73 \n", + "197 21.95 \n", + "198 38.27 \n", + "199 54.71 \n", + "200 89.86 \n", + "\n", + "[201 rows x 23 columns]\n" + ] + } + ], + "source": [ + "# Switch to SQLAlchemy, because of UserWarning: \n", + "\n", + "# Trying a filter for Malaria in 2020\n", + "query = \"\"\"\n", + "SELECT *\n", + "FROM HealthStatistics\n", + "WHERE Year = 2020 AND DiseaseName = 'Malaria';\n", + "\"\"\"\n", + "df_filtered = pd.read_sql(query, engine)\n", + "\n", + "print(df_filtered)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data retrieved successfully!\n", + "\n", + "Top Infectious Diseases by Prevalence:\n", + " Avg_Prevalence Total_Prevalence\n", + "DiseaseName \n", + "Polio 11.092771 920.70\n", + "Influenza 10.972241 1272.78\n", + "Ebola 10.409245 1103.38\n", + "Malaria 10.408333 1124.10\n", + "Asthma 10.332857 1012.62\n", + "Measles 10.321685 918.63\n", + "HIV/AIDS 10.213814 990.74\n", + "Dengue 10.173448 885.09\n", + "Alzheimer's Disease 10.101000 909.09\n", + "Parkinson's Disease 10.025934 912.36\n", + "\n", + "Change in Prevalence Rates Over the Last 5 Years:\n", + " Initial_Prevalence Latest_Prevalence \\\n", + "DiseaseName \n", + "Cholera 7.85 17.66 \n", + "Parkinson's Disease 12.31 18.03 \n", + "Hepatitis 0.60 5.59 \n", + "Zika 14.62 18.20 \n", + "Malaria 14.16 17.55 \n", + "Tuberculosis 0.92 4.20 \n", + "Leprosy 16.01 17.26 \n", + "COVID-19 14.88 14.77 \n", + "HIV/AIDS 4.56 4.32 \n", + "Asthma 14.70 13.25 \n", + "\n", + " Change_in_Prevalence \n", + "DiseaseName \n", + "Cholera 9.81 \n", + "Parkinson's Disease 5.72 \n", + "Hepatitis 4.99 \n", + "Zika 3.58 \n", + "Malaria 3.39 \n", + "Tuberculosis 3.28 \n", + "Leprosy 1.25 \n", + "COVID-19 -0.11 \n", + "HIV/AIDS -0.24 \n", + "Asthma -1.45 \n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 1:\n", + "# Which infectious diseases have the highest prevalence rates globally, and how have these rates changed over the past 5 years?\n", + "\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# SQL query to fetch data\n", + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " DiseaseCategory,\n", + " Year,\n", + " PrevalenceRate\n", + "FROM HealthStatistics\n", + "WHERE\n", + " DiseaseCategory = 'Infectious'\n", + " AND Year BETWEEN 2020 AND 2024\n", + "ORDER BY\n", + " Year DESC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a pandas DataFrame\n", + "df_question1 = pd.read_sql(query, engine)\n", + "\n", + "# Analyze the data\n", + "# Step 1: Group data to find the highest average prevalence rates globally\n", + "highest_prevalence = (\n", + " df_question1.groupby(\"DiseaseName\")\n", + " .agg(\n", + " Avg_Prevalence=(\"PrevalenceRate\", \"mean\"),\n", + " Total_Prevalence=(\"PrevalenceRate\", \"sum\")\n", + " )\n", + " .sort_values(by=\"Avg_Prevalence\", ascending=False)\n", + ")\n", + "\n", + "# Step 2: Analyze the change in prevalence rates over the last 5 years\n", + "recent_years = df_question1[df_question1['Year'] >= df_question1['Year'].max() - 5]\n", + "\n", + "prevalence_change = (\n", + " recent_years.groupby(\"DiseaseName\")\n", + " .agg(\n", + " Initial_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[0]),\n", + " Latest_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[-1])\n", + " )\n", + " .assign(Change_in_Prevalence=lambda x: x[\"Latest_Prevalence\"] - x[\"Initial_Prevalence\"])\n", + " .sort_values(by=\"Change_in_Prevalence\", ascending=False)\n", + ")\n", + "\n", + "# Step 3: Merge both results\n", + "result = highest_prevalence.merge(prevalence_change, on=\"DiseaseName\", how=\"inner\")\n", + "\n", + "# Display results\n", + "print(\"\\nTop Infectious Diseases by Prevalence:\")\n", + "print(highest_prevalence.head(10))\n", + "\n", + "print(\"\\nChange in Prevalence Rates Over the Last 5 Years:\")\n", + "print(prevalence_change.head(10))\n", + "\n", + "# Step 4: Sort data by year\n", + "df_question1_sorted = df_question1.sort_values(by='Year')\n", + "\n", + "# Step 5: Select top 5 diseases by highest average prevalence rates\n", + "top_diseases = highest_prevalence.head(5).index\n", + "\n", + "# Filter data for the top 5 diseases\n", + "top_diseases_data = df_question1_sorted[df_question1_sorted['DiseaseName'].isin(top_diseases)]\n", + "\n", + "# Aggregate data by DiseaseName and Year\n", + "aggregated_data = (\n", + " top_diseases_data.groupby(['DiseaseName', 'Year'])\n", + " .agg({'PrevalenceRate': 'mean'})\n", + " .reset_index()\n", + ")\n", + "\n", + "# Plot the aggregated data\n", + "sns.set_theme(style=\"whitegrid\")\n", + "plt.figure(figsize=(12, 7))\n", + "palette = sns.color_palette(\"husl\", len(top_diseases)) # colorful theme\n", + "\n", + "for i, (disease, group) in enumerate(aggregated_data.groupby('DiseaseName')):\n", + " plt.plot(group['Year'], group['PrevalenceRate'], \n", + " marker='o', label=disease, color=palette[i], linewidth=2.5)\n", + "\n", + "# Add labels and title\n", + "plt.title('Prevalence Rate per Year for Top 5 Diseases', fontsize=16, weight='bold')\n", + "plt.xlabel('Year', fontsize=14)\n", + "plt.ylabel('Prevalence Rate', fontsize=14)\n", + "plt.xticks(sorted(aggregated_data['Year'].unique()), fontsize=12, rotation=45)\n", + "plt.yticks(fontsize=12)\n", + "plt.legend(title=\"Disease Name\", fontsize=12, title_fontsize=14)\n", + "plt.grid(True, which='major', linestyle='--', linewidth=0.5, alpha=0.7)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1944517882.py:25: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " return pd.read_sql(query, connection, params=params)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 2:\n", + "# Which age groups and genders are most affected by high-prevalence infectious diseases? \n", + "# Are there significant disparities?\n", + "\n", + "def get_high_prevalence_data(connection: pymysql.connections.Connection, diseasecategory: str) -> pd.DataFrame:\n", + " \"\"\" \n", + " This function queries the `HealthStatistics` table to compute the average prevalence rate and \n", + " the total affected population for each combination of age group and gender within the specified \n", + " disease category. It filters the data to include only those entries where the prevalence rate \n", + " is greater than the average prevalence rate.\n", + "\n", + " Args:\n", + " connection (pymysql.connections.Connection): A valid database connection created with PyMySQL.\n", + " diseasecategory (str): The disease category to filter on (e.g., 'Infectious').\n", + "\n", + " Returns:\n", + " pd.DataFrame: A pandas DataFrame containing columns:\n", + " - `AgeGroup`: The age group.\n", + " - `Gender`: The gender (Male, Female, Other).\n", + " - `AvgPrevalence`: The average prevalence rate for the group.\n", + " - `TotalAffected`: The total population affected for the group.\n", + " \"\"\"\n", + " \n", + " \n", + " query = \"\"\"\n", + " SELECT\n", + " AgeGroup,\n", + " Gender,\n", + " AVG(PrevalenceRate) AS AvgPrevalence,\n", + " SUM(PopulationAffected) AS TotalAffected\n", + " FROM HealthStatistics\n", + " WHERE\n", + " DiseaseCategory = %s\n", + " AND PrevalenceRate > (\n", + " SELECT AVG(PrevalenceRate)\n", + " FROM HealthStatistics\n", + " WHERE DiseaseCategory = %s\n", + " )\n", + " GROUP BY AgeGroup, Gender\n", + " ORDER BY AvgPrevalence DESC;\n", + " \"\"\"\n", + " params = (diseasecategory, diseasecategory)\n", + " return pd.read_sql(query, connection, params=params)\n", + "\n", + "# Call the function\n", + "df_question2 = get_high_prevalence_data(connection, 'Infectious')\n", + "\n", + "# df_question2 = pd.read_sql(query_2, connection)\n", + "\n", + "age_order = ['0-18', '19-35', '36-60', '61+']\n", + "\n", + "df_question2['AgeGroup'] = pd.Categorical(df_question2['AgeGroup'], categories=age_order, ordered=True)\n", + "\n", + "# Plot the graph with the updated order\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(\n", + " data=df_question2,\n", + " x=\"AgeGroup\",\n", + " y=\"AvgPrevalence\",\n", + " hue=\"Gender\",\n", + " palette=\"viridis\"\n", + ")\n", + "plt.title(\"Prevalence Rate of by Age Group and Gender\")\n", + "plt.xlabel(\"Age Group\")\n", + "plt.ylabel(\"Average Prevalence Rate (%)\")\n", + "plt.xticks(rotation=45)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1639260823.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_question3 = pd.read_sql(query_3, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName AvgHealthcareAccess AvgDoctorsPer1000 \\\n", + "0 Malaria 74.786759 2.732954 \n", + "1 Ebola 74.704818 2.778387 \n", + "2 COVID-19 74.702642 2.706471 \n", + "3 Parkinson's Disease 74.792696 2.742936 \n", + "4 Tuberculosis 74.985969 2.764276 \n", + "\n", + " AvgRecoveryRate \n", + "0 74.801839 \n", + "1 74.398003 \n", + "2 74.255789 \n", + "3 74.335690 \n", + "4 74.538776 \n", + " AvgHealthcareAccess AvgDoctorsPer1000 AvgRecoveryRate\n", + "AvgHealthcareAccess 1.000000 -0.087803 0.336193\n", + "AvgDoctorsPer1000 -0.087803 1.000000 -0.058986\n", + "AvgRecoveryRate 0.336193 -0.058986 1.000000\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", + " with pd.option_context('mode.use_inf_as_na', True):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", + " with pd.option_context('mode.use_inf_as_na', True):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", + " with pd.option_context('mode.use_inf_as_na', True):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n", + " self._figure.tight_layout(*args, **kwargs)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 3: \n", + "# Is there a correlation between healthcare access, the number of doctors per 1000 people, \n", + "# and the recovery rate for specific diseases?\n", + "\n", + "query_3 = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(HealthcareAccess) AS AvgHealthcareAccess,\n", + " AVG(DoctorsPer1000) AS AvgDoctorsPer1000,\n", + " AVG(RecoveryRate) AS AvgRecoveryRate\n", + "FROM HealthStatistics\n", + "GROUP BY DiseaseName;\n", + "\"\"\"\n", + "\n", + "df_question3 = pd.read_sql(query_3, connection)\n", + "print(df_question3.head())\n", + "\n", + "correlation_matrix = df_question3[[\n", + " 'AvgHealthcareAccess',\n", + " 'AvgDoctorsPer1000',\n", + " 'AvgRecoveryRate'\n", + "]].corr()\n", + "\n", + "print(correlation_matrix)\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", + "plt.title(\"Correlation Between Healthcare Access, Doctors, and Recovery Rate\")\n", + "plt.show()\n", + "\n", + "\n", + "sns.pairplot(\n", + " df_question3,\n", + " vars=['AvgHealthcareAccess', 'AvgDoctorsPer1000', 'AvgRecoveryRate'],\n", + " kind=\"reg\"\n", + ")\n", + "plt.suptitle(\"Relationships Between Healthcare Access, Doctors, and Recovery Rate\", y=1.02)\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\3706241603.py:17: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_question4 = pd.read_sql(query_4, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", + "0 Malaria 5.148557 51036.541119 0.656155\n", + "1 Hepatitis 5.111002 50134.584410 0.648586\n", + "2 Rabies 5.087610 50758.945881 0.648486\n", + "3 Tuberculosis 5.085437 49793.941319 0.650789\n", + "4 Measles 5.082200 50287.037513 0.649193\n", + " AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", + "AvgMortalityRate 1.000000 0.119010 0.742968\n", + "AvgPerCapitaIncome 0.119010 1.000000 0.346141\n", + "AvgEducationIndex 0.742968 0.346141 1.000000\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 4: \n", + "# Which infectious diseases have the highest mortality rates, and how do socioeconomic factors \n", + "# (e.g., per capita income, education index) influence these rates?\n", + "\n", + "query_4 = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(MortalityRate) AS AvgMortalityRate,\n", + " AVG(PerCapitaIncome) AS AvgPerCapitaIncome,\n", + " AVG(EducationIndex) AS AvgEducationIndex\n", + "FROM HealthStatistics\n", + "GROUP BY DiseaseName\n", + "ORDER BY AvgMortalityRate DESC\n", + "LIMIT 10;\n", + "\"\"\"\n", + "\n", + "df_question4 = pd.read_sql(query_4, connection)\n", + "# df_question4.describe()\n", + "print(df_question4.head())\n", + "\n", + "\n", + "# Calculate correlations\n", + "correlation_matrix = df_question4[[\n", + " 'AvgMortalityRate', \n", + " 'AvgPerCapitaIncome', \n", + " 'AvgEducationIndex'\n", + "]].corr()\n", + "\n", + "print(correlation_matrix)\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", + "plt.title(\"Correlation Between Mortality Rate and Socioeconomic Factors\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1616853608.py:18: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_urbanization = pd.read_sql(query, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " AvgUrbanizationRate AvgIncidenceRate AvgPrevalenceRate\n", + "AvgUrbanizationRate 1.000000 0.344218 0.162751\n", + "AvgIncidenceRate 0.344218 1.000000 -0.181572\n", + "AvgPrevalenceRate 0.162751 -0.181572 1.000000\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 5:\n", + "# Does the urbanization rate affect the incidence and prevalence rates of infectious diseases? \n", + "# Are urban areas more vulnerable to certain outbreaks?\n", + "\n", + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(UrbanizationRate) AS AvgUrbanizationRate,\n", + " AVG(IncidenceRate) AS AvgIncidenceRate,\n", + " AVG(PrevalenceRate) AS AvgPrevalenceRate\n", + "FROM HealthStatistics\n", + "WHERE DiseaseCategory = 'Infectious'\n", + "GROUP BY DiseaseName\n", + "ORDER BY AvgUrbanizationRate DESC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a pandas DataFrame\n", + "df_urbanization = pd.read_sql(query, connection)\n", + "\n", + "df_urbanization.describe()\n", + "# Calculate correlation\n", + "correlation_matrix = df_urbanization[[\n", + " 'AvgUrbanizationRate',\n", + " 'AvgIncidenceRate',\n", + " 'AvgPrevalenceRate'\n", + "]].corr()\n", + "\n", + "print(correlation_matrix)\n", + "\n", + "# Visualize correlation as a heatmap\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\")\n", + "plt.title(\"Correlation Between Urbanization and Disease Metrics\")\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\990198507.py:13: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_vaccine = pd.read_sql(query, connection)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName AvailabilityOfVaccinesTreatment AvgMortalityRate \\\n", + "0 Alzheimer's Disease Yes 5.440184 \n", + "1 HIV/AIDS Yes 5.401092 \n", + "2 Influenza Yes 5.390083 \n", + "3 Malaria No 5.360365 \n", + "4 Rabies No 5.339690 \n", + "\n", + " AvgRecoveryRate \n", + "0 75.933502 \n", + "1 74.485672 \n", + "2 73.891701 \n", + "3 73.713059 \n", + "4 74.395177 \n", + " AvailabilityOfVaccinesTreatment AvgMortalityRate AvgRecoveryRate\n", + "0 No 5.023736 74.244544\n", + "1 Yes 5.105629 74.391719\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AvailabilityOfVaccinesTreatment,\n", + " AVG(MortalityRate) AS AvgMortalityRate,\n", + " AVG(RecoveryRate) AS AvgRecoveryRate\n", + "FROM HealthStatistics\n", + "WHERE DiseaseCategory = 'Infectious'\n", + "GROUP BY DiseaseName, AvailabilityOfVaccinesTreatment\n", + "ORDER BY AvgMortalityRate DESC;\n", + "\"\"\"\n", + "\n", + "df_vaccine = pd.read_sql(query, connection)\n", + "print(df_vaccine.head())\n", + "\n", + "df_summary = df_vaccine.groupby(\"AvailabilityOfVaccinesTreatment\").agg({\n", + " \"AvgMortalityRate\": \"mean\",\n", + " \"AvgRecoveryRate\": \"mean\"\n", + "}).reset_index()\n", + "\n", + "print(df_summary)\n", + "\n", + "\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Bar plot for Mortality and Recovery Rates by Vaccine Availability\n", + "df_melted = df_summary.melt(id_vars=\"AvailabilityOfVaccinesTreatment\", \n", + " value_vars=[\"AvgMortalityRate\", \"AvgRecoveryRate\"],\n", + " var_name=\"Metric\", \n", + " value_name=\"Rate\")\n", + "\n", + "plt.figure(figsize=(8, 5))\n", + "sns.barplot(data=df_melted, x=\"AvailabilityOfVaccinesTreatment\", y=\"Rate\", hue=\"Metric\", palette=\"viridis\")\n", + "plt.title(\"Impact of Vaccine Availability on Mortality and Recovery Rates\")\n", + "plt.xlabel(\"Availability of Vaccines/Treatments\")\n", + "plt.ylabel(\"Rate (%)\")\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\547848016.py:12: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_dalys = pd.read_sql(query, connection)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName TotalDALYs\n", + "0 Asthma 12889410.0\n", + "1 Influenza 12885168.0\n", + "2 Leprosy 12881995.0\n", + "3 Ebola 12795525.0\n", + "4 Diabetes 12793286.0\n", + "5 COVID-19 12609290.0\n", + "6 HIV/AIDS 12599253.0\n", + "7 Cholera 12580108.0\n", + "8 Alzheimer's Disease 12543637.0\n", + "9 Zika 12521254.0\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " SUM(DALYs) AS TotalDALYs\n", + "FROM HealthStatistics\n", + "GROUP BY DiseaseName\n", + "ORDER BY TotalDALYs DESC\n", + "LIMIT 10;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a DataFrame\n", + "df_dalys = pd.read_sql(query, connection)\n", + "\n", + "# Display the top diseases contributing to DALYs\n", + "print(df_dalys)\n", + "\n", + "\n", + "# Bar plot for top diseases by DALYs\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(data=df_dalys, x=\"TotalDALYs\", y=\"DiseaseName\", palette=\"viridis\")\n", + "plt.title(\"Top Diseases Contributing to DALYs Globally\")\n", + "plt.xlabel(\"Total DALYs\")\n", + "plt.ylabel(\"Disease Name\")\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.10" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/WHO_database.sql b/WHO_database.sql index 72fe987..06f5809 100644 --- a/WHO_database.sql +++ b/WHO_database.sql @@ -1,32 +1,32 @@ -CREATE DATABASE who_health_data; -USE who_health_data; - -CREATE TABLE Indicators ( - indicator_id VARCHAR(50) PRIMARY KEY, - indicator_name TEXT NOT NULL, - description TEXT, - source TEXT -); - -CREATE TABLE Data ( - data_id SERIAL PRIMARY KEY, - indicator_id VARCHAR(50), - year INT, - value FLOAT, - dimension_code VARCHAR(50), - FOREIGN KEY (indicator_id) REFERENCES Indicators(indicator_id) -); - -CREATE TABLE Dimensions ( - dimension_code VARCHAR(50) PRIMARY KEY, - dimension_name TEXT NOT NULL, - description TEXT -); - -CREATE TABLE Metadata ( - meta_id SERIAL PRIMARY KEY, - indicator_id VARCHAR(50), - metadata_key TEXT, - metadata_value TEXT, - FOREIGN KEY (indicator_id) REFERENCES Indicators(indicator_id) -); +CREATE DATABASE who_health_data; +USE who_health_data; + +CREATE TABLE Indicators ( + indicator_id VARCHAR(50) PRIMARY KEY, + indicator_name TEXT NOT NULL, + description TEXT, + source TEXT +); + +CREATE TABLE Data ( + data_id SERIAL PRIMARY KEY, + indicator_id VARCHAR(50), + year INT, + value FLOAT, + dimension_code VARCHAR(50), + FOREIGN KEY (indicator_id) REFERENCES Indicators(indicator_id) +); + +CREATE TABLE Dimensions ( + dimension_code VARCHAR(50) PRIMARY KEY, + dimension_name TEXT NOT NULL, + description TEXT +); + +CREATE TABLE Metadata ( + meta_id SERIAL PRIMARY KEY, + indicator_id VARCHAR(50), + metadata_key TEXT, + metadata_value TEXT, + FOREIGN KEY (indicator_id) REFERENCES Indicators(indicator_id) +); diff --git a/project-2-eda-sql.code-workspace b/project-2-eda-sql.code-workspace index 876a149..9017da0 100644 --- a/project-2-eda-sql.code-workspace +++ b/project-2-eda-sql.code-workspace @@ -1,8 +1,8 @@ -{ - "folders": [ - { - "path": "." - } - ], - "settings": {} +{ + "folders": [ + { + "path": "." + } + ], + "settings": {} } \ No newline at end of file diff --git a/seeding_GlobalHealth.sql b/seeding_GlobalHealth.sql index d03a4ec..b95ff88 100644 --- a/seeding_GlobalHealth.sql +++ b/seeding_GlobalHealth.sql @@ -1,14 +1,49 @@ -LOAD DATA INFILE 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/Global Health Statistics.csv' -INTO TABLE HealthStatistics -FIELDS TERMINATED BY ',' -ENCLOSED BY '"' -LINES TERMINATED BY '\n' -IGNORE 1 ROWS -( - Country, Year, DiseaseName, DiseaseCategory, PrevalenceRate, IncidenceRate, MortalityRate, - AgeGroup, Gender, PopulationAffected, HealthcareAccess, DoctorsPer1000, HospitalBedsPer1000, - TreatmentType, AverageTreatmentCost, AvailabilityOfVaccinesTreatment, RecoveryRate, DALYs, - ImprovementIn5Years, PerCapitaIncome, EducationIndex, UrbanizationRate -); - - +-- Seeding using LOAD DATA INFILE +USE globalhealth; + +SELECT * FROM globalhealth.healthstatistics LIMIT 10; + +SET GLOBAL local_infile = 1; +SHOW VARIABLES LIKE 'local_infile'; + +INSERT INTO healthstatistics ( + Country, Year, DiseaseName, DiseaseCategory, PrevalenceRate, IncidenceRate, MortalityRate, AgeGroup, Gender, PopulationAffected, + HealthcareAccess, DoctorsPer1000, HospitalBedsPer1000, TreatmentType, AverageTreatmentCost, AvailabilityOfVaccinesTreatment, RecoveryRate, DALYs, + ImprovementIn5Years, PerCapitaIncome, EducationIndex, UrbanizationRate +) VALUES ( + 'Italy', 2013, 'Malaria', 'Respiratory', 0.95, 1.55, 8.42, '0-18', 'Male', 471007, + 57.74, 3.34, 7.58, 'Medication', 21064, 'No', 91.82, 4493, 2.16, 16886, 0.79, 86.02 +); + +SELECT * FROM healthstatistics LIMIT 10; + +SHOW VARIABLES LIKE 'secure_file_priv'; + +-- THIS WORKED!!! +-- I put the files in 'C:\\ProgramData\\MySQL\\MySQL Server 9.1\\Uploads' +-- MySQL is configured to only allow loading files from a specific directory, as defined by 'secure_file_priv' +LOAD DATA INFILE "C:\\ProgramData\\MySQL\\MySQL Server 9.1\\Uploads\\chunks\\chunk_1.csv" +INTO TABLE healthstatistics +FIELDS TERMINATED BY ',' +ENCLOSED BY '"' +-- LINES TERMINATED BY '\\r\\n' +LINES TERMINATED BY '\n' +IGNORE 1 LINES +( + Country, Year, DiseaseName, DiseaseCategory, PrevalenceRate, IncidenceRate, MortalityRate, AgeGroup, Gender, PopulationAffected, + HealthcareAccess, DoctorsPer1000, HospitalBedsPer1000, TreatmentType, AverageTreatmentCost, AvailabilityOfVaccinesTreatment, RecoveryRate, DALYs, + ImprovementIn5Years, PerCapitaIncome, EducationIndex, UrbanizationRate +); + +SELECT * FROM healthstatistics LIMIT 10; + +SHOW VARIABLES LIKE 'secure_file_priv'; + +SHOW VARIABLES LIKE 'local_infile'; + +SELECT COUNT(*) AS total_rows FROM healthstatistics; + + + + + From f3575a2869c0a08780279cfa6b8dea836da2ddab Mon Sep 17 00:00:00 2001 From: dbigman Date: Wed, 25 Dec 2024 15:13:00 -0400 Subject: [PATCH 08/10] pushing home answers --- Business Challenge EDA and SQL_home.ipynb | 1079 +++++++++++++++++++++ global_health_observatory_download | 58 -- 2 files changed, 1079 insertions(+), 58 deletions(-) create mode 100644 Business Challenge EDA and SQL_home.ipynb delete mode 100644 global_health_observatory_download diff --git a/Business Challenge EDA and SQL_home.ipynb b/Business Challenge EDA and SQL_home.ipynb new file mode 100644 index 0000000..e174655 --- /dev/null +++ b/Business Challenge EDA and SQL_home.ipynb @@ -0,0 +1,1079 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Business Challenge: EDA and SQL\n" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total number of rows: 1000003\n", + "Detected Encoding: ascii\n" + ] + } + ], + "source": [ + "import csv\n", + "import chardet\n", + "\n", + "file_path = \"Global Health Statistics.csv\"\n", + "\n", + "# count numer of rows\n", + "with open(file_path, 'r', encoding='utf-8') as file:\n", + " reader = csv.reader(file)\n", + " row_count = sum(1 for row in reader)\n", + "\n", + "# show encoding\n", + "with open(file_path, 'rb') as file:\n", + " raw_data = file.read()\n", + " result = chardet.detect(raw_data)\n", + " encoding = result['encoding']\n", + "\n", + "print(f\"Total number of rows: {row_count}\")\n", + "print(f\"Detected Encoding: {encoding}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "File successfully split into 11 chunks.\n" + ] + } + ], + "source": [ + "import csv\n", + "import chardet\n", + "\n", + "# The original dataset is taking too long to insert, so I split into 10 chunks. \n", + "\n", + "input_file = \"Global Health Statistics.csv\"\n", + "num_chunks = 10 # Number of chunks to split the file into\n", + "\n", + "# Detect encoding of the file\n", + "with open(input_file, 'rb') as file:\n", + " raw_data = file.read()\n", + " result = chardet.detect(raw_data)\n", + " encoding = result['encoding']\n", + "\n", + "# Count total rows in the file\n", + "with open(input_file, 'r', encoding=encoding) as infile:\n", + " total_rows = sum(1 for _ in infile) - 1 # Subtract 1 for the header row\n", + "\n", + "# Calculate rows per chunk\n", + "rows_per_chunk = total_rows // num_chunks\n", + "remainder = total_rows % num_chunks # Handle any leftover rows\n", + "\n", + "# Split the file into chunks\n", + "with open(input_file, 'r', encoding=encoding) as infile:\n", + " reader = csv.reader(infile)\n", + " header = next(reader) # Save the header row\n", + "\n", + " chunk_number = 1\n", + " rows = []\n", + "\n", + " for i, row in enumerate(reader, start=1):\n", + " rows.append(row)\n", + " if len(rows) == rows_per_chunk + (1 if remainder > 0 else 0): # Add 1 row for chunks with remainder\n", + " output_file = f\"chunk_{chunk_number}.csv\"\n", + " with open(output_file, 'w', encoding='utf-8', newline='') as outfile:\n", + " writer = csv.writer(outfile)\n", + " writer.writerow(header) # Write the header\n", + " writer.writerows(rows)\n", + " chunk_number += 1\n", + " rows = [] # Clear the list for the next chunk\n", + " if remainder > 0:\n", + " remainder -= 1 # Decrease the remainder for the next chunk\n", + "\n", + " # Write the remaining rows\n", + " if rows:\n", + " output_file = f\"chunk_{chunk_number}.csv\"\n", + " with open(output_file, 'w', encoding='utf-8', newline='') as outfile:\n", + " writer = csv.writer(outfile)\n", + " writer.writerow(header)\n", + " writer.writerows(rows)\n", + "\n", + "print(f\"File successfully split into {chunk_number} chunks.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Connected to the GlobalHealth database successfully!\n" + ] + } + ], + "source": [ + "# import pymysql\n", + "\n", + "# Switch to SQLAlchemy, because of UserWarning: \n", + "from sqlalchemy import create_engine\n", + "\n", + "# Database connection settings\n", + "host = \"localhost\" # host, e.g., 127.0.0.1 or a server address\n", + "user = \"root\" # MySQL username\n", + "password = \"Malcomx1\" # MySQL password\n", + "database = \"GlobalHealth\" # database name\n", + "\n", + "# # Establish the connection\n", + "# connection = pymysql.connect(\n", + "# host=host,\n", + "# user=user,\n", + "# password=password,\n", + "# database=database\n", + "# )\n", + "\n", + "# creates a SQLAlchemy engine, which serves as the entry point for interacting with the database\n", + "engine = create_engine(f\"mysql+pymysql://{user}:{password}@{host}/{database}\")\n", + "\n", + "print(f\"Connected to the {database} database successfully!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " id Country Year DiseaseName DiseaseCategory \\\n", + "0 3 Turkey 2015 COVID-19 Genetic \n", + "1 11 Canada 2011 Leprosy Cardiovascular \n", + "2 23 South Africa 2014 Malaria Bacterial \n", + "3 38 Turkey 2006 Malaria Cardiovascular \n", + "4 43 Indonesia 2000 Rabies Bacterial \n", + "... ... ... ... ... ... \n", + "19986 99980 Australia 2017 Hypertension Neurological \n", + "19987 99984 UK 2010 Measles Metabolic \n", + "19988 99985 Canada 2001 Alzheimer's Disease Bacterial \n", + "19989 99986 South Korea 2004 Measles Respiratory \n", + "19990 99987 Russia 2005 Asthma Chronic \n", + "\n", + " PrevalenceRate IncidenceRate MortalityRate AgeGroup Gender ... \\\n", + "0 0.91 2.35 6.22 36-60 Male ... \n", + "1 11.15 0.60 2.97 36-60 Female ... \n", + "2 5.94 4.29 2.36 61+ Female ... \n", + "3 10.53 2.50 5.09 0-18 Male ... \n", + "4 1.22 13.78 3.90 0-18 Male ... \n", + "... ... ... ... ... ... ... \n", + "19986 2.55 0.84 6.96 19-35 Male ... \n", + "19987 16.48 3.29 6.63 36-60 Male ... \n", + "19988 15.71 10.18 5.12 36-60 Male ... \n", + "19989 1.10 10.82 6.33 36-60 Male ... \n", + "19990 10.69 7.84 4.42 61+ Other ... \n", + "\n", + " HospitalBedsPer1000 TreatmentType AverageTreatmentCost \\\n", + "0 3.49 Vaccination 27834.0 \n", + "1 1.99 Surgery 19993.0 \n", + "2 6.88 Therapy 14578.0 \n", + "3 2.95 Vaccination 29311.0 \n", + "4 3.53 Therapy 45214.0 \n", + "... ... ... ... \n", + "19986 1.05 Surgery 15056.0 \n", + "19987 6.46 Therapy 7088.0 \n", + "19988 3.28 Medication 42658.0 \n", + "19989 2.97 Therapy 5205.0 \n", + "19990 8.89 Medication 2377.0 \n", + "\n", + " AvailabilityOfVaccinesTreatment RecoveryRate DALYs \\\n", + "0 Yes 98.55 41.0 \n", + "1 Yes 76.16 4238.0 \n", + "2 Yes 72.97 433.0 \n", + "3 Yes 93.53 110.0 \n", + "4 Yes 97.84 4746.0 \n", + "... ... ... ... \n", + "19986 Yes 89.41 680.0 \n", + "19987 No 63.23 399.0 \n", + "19988 Yes 82.12 3051.0 \n", + "19989 Yes 87.74 382.0 \n", + "19990 Yes 50.31 2814.0 \n", + "\n", + " ImprovementIn5Years PerCapitaIncome EducationIndex UrbanizationRate \n", + "0 5.81 12245.0 0.41 40.20 \n", + "1 1.23 44699.0 0.58 51.50 \n", + "2 1.40 52974.0 0.53 43.97 \n", + "3 6.45 51865.0 0.74 58.38 \n", + "4 3.30 24147.0 0.73 79.39 \n", + "... ... ... ... ... \n", + "19986 1.71 37060.0 0.64 47.46 \n", + "19987 1.14 73707.0 0.60 45.20 \n", + "19988 2.52 52542.0 0.61 47.49 \n", + "19989 3.38 67734.0 0.83 76.76 \n", + "19990 3.43 44723.0 0.81 72.82 \n", + "\n", + "[19991 rows x 23 columns]\n" + ] + } + ], + "source": [ + "# Switch to SQLAlchemy, because of UserWarning: \n", + "\n", + "import pandas as pd\n", + "\n", + "query = \"\"\"\n", + "SELECT *\n", + "FROM HealthStatistics\n", + "WHERE RAND() <= 0.2;\n", + "\"\"\"\n", + "\n", + "df_healtstatistics_sample = pd.read_sql(query, engine)\n", + "\n", + "print(df_healtstatistics_sample)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " id Country Year DiseaseName DiseaseCategory PrevalenceRate \\\n", + "0 105 Australia 2020 Malaria Genetic 12.89 \n", + "1 486 Nigeria 2020 Malaria Bacterial 18.91 \n", + "2 1200 China 2020 Malaria Neurological 7.81 \n", + "3 1325 Argentina 2020 Malaria Autoimmune 2.21 \n", + "4 1544 Australia 2020 Malaria Metabolic 1.60 \n", + ".. ... ... ... ... ... ... \n", + "196 99253 South Africa 2020 Malaria Respiratory 9.22 \n", + "197 99350 Turkey 2020 Malaria Bacterial 7.57 \n", + "198 99402 India 2020 Malaria Metabolic 13.16 \n", + "199 99406 Mexico 2020 Malaria Genetic 1.28 \n", + "200 99475 Indonesia 2020 Malaria Metabolic 15.20 \n", + "\n", + " IncidenceRate MortalityRate AgeGroup Gender ... HospitalBedsPer1000 \\\n", + "0 12.34 1.52 36-60 Other ... 5.35 \n", + "1 13.31 1.37 61+ Female ... 7.57 \n", + "2 2.24 8.67 61+ Female ... 2.86 \n", + "3 10.05 7.41 19-35 Other ... 2.04 \n", + "4 0.84 5.24 19-35 Male ... 7.22 \n", + ".. ... ... ... ... ... ... \n", + "196 13.76 9.81 19-35 Male ... 5.95 \n", + "197 10.89 6.23 0-18 Other ... 9.79 \n", + "198 4.00 6.32 61+ Other ... 9.47 \n", + "199 13.18 1.02 61+ Other ... 9.76 \n", + "200 3.84 0.54 36-60 Female ... 7.74 \n", + "\n", + " TreatmentType AverageTreatmentCost AvailabilityOfVaccinesTreatment \\\n", + "0 Medication 9153.0 Yes \n", + "1 Vaccination 40849.0 No \n", + "2 Surgery 29742.0 No \n", + "3 Medication 25557.0 No \n", + "4 Vaccination 14504.0 Yes \n", + ".. ... ... ... \n", + "196 Surgery 13942.0 No \n", + "197 Therapy 18890.0 Yes \n", + "198 Therapy 22365.0 Yes \n", + "199 Surgery 22522.0 Yes \n", + "200 Therapy 27101.0 No \n", + "\n", + " RecoveryRate DALYs ImprovementIn5Years PerCapitaIncome EducationIndex \\\n", + "0 85.70 3411.0 1.03 13201.0 0.62 \n", + "1 56.59 4604.0 0.13 35250.0 0.89 \n", + "2 55.98 1288.0 8.50 5954.0 0.83 \n", + "3 77.72 4074.0 7.04 99936.0 0.54 \n", + "4 67.36 391.0 9.61 24293.0 0.81 \n", + ".. ... ... ... ... ... \n", + "196 97.84 2531.0 6.81 84482.0 0.67 \n", + "197 67.85 4101.0 4.88 39904.0 0.59 \n", + "198 81.07 105.0 6.68 67995.0 0.67 \n", + "199 65.91 4689.0 0.86 31437.0 0.44 \n", + "200 78.98 4520.0 0.86 59791.0 0.74 \n", + "\n", + " UrbanizationRate \n", + "0 34.93 \n", + "1 35.01 \n", + "2 85.54 \n", + "3 31.58 \n", + "4 41.08 \n", + ".. ... \n", + "196 46.73 \n", + "197 21.95 \n", + "198 38.27 \n", + "199 54.71 \n", + "200 89.86 \n", + "\n", + "[201 rows x 23 columns]\n" + ] + } + ], + "source": [ + "# Switch to SQLAlchemy, because of UserWarning: \n", + "\n", + "# Trying a filter for Malaria in 2020\n", + "query = \"\"\"\n", + "SELECT *\n", + "FROM HealthStatistics\n", + "WHERE Year = 2020 AND DiseaseName = 'Malaria';\n", + "\"\"\"\n", + "df_filtered = pd.read_sql(query, engine)\n", + "\n", + "print(df_filtered)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data retrieved successfully!\n", + "\n", + "Top Infectious Diseases by Prevalence:\n", + " Avg_Prevalence Total_Prevalence\n", + "DiseaseName \n", + "Polio 11.092771 920.70\n", + "Influenza 10.972241 1272.78\n", + "Ebola 10.409245 1103.38\n", + "Malaria 10.408333 1124.10\n", + "Asthma 10.332857 1012.62\n", + "Measles 10.321685 918.63\n", + "HIV/AIDS 10.213814 990.74\n", + "Dengue 10.173448 885.09\n", + "Alzheimer's Disease 10.101000 909.09\n", + "Parkinson's Disease 10.025934 912.36\n", + "\n", + "Change in Prevalence Rates Over the Last 5 Years:\n", + " Initial_Prevalence Latest_Prevalence \\\n", + "DiseaseName \n", + "Cholera 7.85 17.66 \n", + "Parkinson's Disease 12.31 18.03 \n", + "Hepatitis 0.60 5.59 \n", + "Zika 14.62 18.20 \n", + "Malaria 14.16 17.55 \n", + "Tuberculosis 0.92 4.20 \n", + "Leprosy 16.01 17.26 \n", + "COVID-19 14.88 14.77 \n", + "HIV/AIDS 4.56 4.32 \n", + "Asthma 14.70 13.25 \n", + "\n", + " Change_in_Prevalence \n", + "DiseaseName \n", + "Cholera 9.81 \n", + "Parkinson's Disease 5.72 \n", + "Hepatitis 4.99 \n", + "Zika 3.58 \n", + "Malaria 3.39 \n", + "Tuberculosis 3.28 \n", + "Leprosy 1.25 \n", + "COVID-19 -0.11 \n", + "HIV/AIDS -0.24 \n", + "Asthma -1.45 \n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 1:\n", + "# Which infectious diseases have the highest prevalence rates globally, and how have these rates changed over the past 5 years?\n", + "\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# SQL query to fetch data\n", + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " DiseaseCategory,\n", + " Year,\n", + " PrevalenceRate\n", + "FROM HealthStatistics\n", + "WHERE\n", + " DiseaseCategory = 'Infectious'\n", + " AND Year BETWEEN 2020 AND 2024\n", + "ORDER BY\n", + " Year DESC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a pandas DataFrame\n", + "df_question1 = pd.read_sql(query, engine)\n", + "\n", + "# Analyze the data\n", + "# Step 1: Group data to find the highest average prevalence rates globally\n", + "highest_prevalence = (\n", + " df_question1.groupby(\"DiseaseName\")\n", + " .agg(\n", + " Avg_Prevalence=(\"PrevalenceRate\", \"mean\"),\n", + " Total_Prevalence=(\"PrevalenceRate\", \"sum\")\n", + " )\n", + " .sort_values(by=\"Avg_Prevalence\", ascending=False)\n", + ")\n", + "\n", + "# Step 2: Analyze the change in prevalence rates over the last 5 years\n", + "recent_years = df_question1[df_question1['Year'] >= df_question1['Year'].max() - 5]\n", + "\n", + "prevalence_change = (\n", + " recent_years.groupby(\"DiseaseName\")\n", + " .agg(\n", + " Initial_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[0]),\n", + " Latest_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[-1])\n", + " )\n", + " .assign(Change_in_Prevalence=lambda x: x[\"Latest_Prevalence\"] - x[\"Initial_Prevalence\"])\n", + " .sort_values(by=\"Change_in_Prevalence\", ascending=False)\n", + ")\n", + "\n", + "# Step 3: Merge both results\n", + "result = highest_prevalence.merge(prevalence_change, on=\"DiseaseName\", how=\"inner\")\n", + "\n", + "# Display results\n", + "print(\"\\nTop Infectious Diseases by Prevalence:\")\n", + "print(highest_prevalence.head(10))\n", + "\n", + "print(\"\\nChange in Prevalence Rates Over the Last 5 Years:\")\n", + "print(prevalence_change.head(10))\n", + "\n", + "# Step 4: Sort data by year\n", + "df_question1_sorted = df_question1.sort_values(by='Year')\n", + "\n", + "# Step 5: Select top 5 diseases by highest average prevalence rates\n", + "top_diseases = highest_prevalence.head(5).index\n", + "\n", + "# Filter data for the top 5 diseases\n", + "top_diseases_data = df_question1_sorted[df_question1_sorted['DiseaseName'].isin(top_diseases)]\n", + "\n", + "# Aggregate data by DiseaseName and Year\n", + "aggregated_data = (\n", + " top_diseases_data.groupby(['DiseaseName', 'Year'])\n", + " .agg({'PrevalenceRate': 'mean'})\n", + " .reset_index()\n", + ")\n", + "\n", + "# Plot the aggregated data\n", + "sns.set_theme(style=\"whitegrid\")\n", + "plt.figure(figsize=(12, 7))\n", + "palette = sns.color_palette(\"husl\", len(top_diseases)) # colorful theme\n", + "\n", + "for i, (disease, group) in enumerate(aggregated_data.groupby('DiseaseName')):\n", + " plt.plot(group['Year'], group['PrevalenceRate'], \n", + " marker='o', label=disease, color=palette[i], linewidth=2.5)\n", + "\n", + "# Add labels and title\n", + "plt.title('Prevalence Rate per Year for Top 5 Diseases', fontsize=16, weight='bold')\n", + "plt.xlabel('Year', fontsize=14)\n", + "plt.ylabel('Prevalence Rate', fontsize=14)\n", + "plt.xticks(sorted(aggregated_data['Year'].unique()), fontsize=12, rotation=45)\n", + "plt.yticks(fontsize=12)\n", + "plt.legend(title=\"Disease Name\", fontsize=12, title_fontsize=14)\n", + "plt.grid(True, which='major', linestyle='--', linewidth=0.5, alpha=0.7)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1944517882.py:25: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " return pd.read_sql(query, connection, params=params)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " grouped_vals = vals.groupby(grouper)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 2:\n", + "# Which age groups and genders are most affected by high-prevalence infectious diseases? \n", + "# Are there significant disparities?\n", + "\n", + "def get_high_prevalence_data(connection: pymysql.connections.Connection, diseasecategory: str) -> pd.DataFrame:\n", + " \"\"\" \n", + " This function queries the `HealthStatistics` table to compute the average prevalence rate and \n", + " the total affected population for each combination of age group and gender within the specified \n", + " disease category. It filters the data to include only those entries where the prevalence rate \n", + " is greater than the average prevalence rate.\n", + "\n", + " Args:\n", + " connection (pymysql.connections.Connection): A valid database connection created with PyMySQL.\n", + " diseasecategory (str): The disease category to filter on (e.g., 'Infectious').\n", + "\n", + " Returns:\n", + " pd.DataFrame: A pandas DataFrame containing columns:\n", + " - `AgeGroup`: The age group.\n", + " - `Gender`: The gender (Male, Female, Other).\n", + " - `AvgPrevalence`: The average prevalence rate for the group.\n", + " - `TotalAffected`: The total population affected for the group.\n", + " \"\"\"\n", + " \n", + " \n", + " query = \"\"\"\n", + " SELECT\n", + " AgeGroup,\n", + " Gender,\n", + " AVG(PrevalenceRate) AS AvgPrevalence,\n", + " SUM(PopulationAffected) AS TotalAffected\n", + " FROM HealthStatistics\n", + " WHERE\n", + " DiseaseCategory = %s\n", + " AND PrevalenceRate > (\n", + " SELECT AVG(PrevalenceRate)\n", + " FROM HealthStatistics\n", + " WHERE DiseaseCategory = %s\n", + " )\n", + " GROUP BY AgeGroup, Gender\n", + " ORDER BY AvgPrevalence DESC;\n", + " \"\"\"\n", + " params = (diseasecategory, diseasecategory)\n", + " return pd.read_sql(query, connection, params=params)\n", + "\n", + "# Call the function\n", + "df_question2 = get_high_prevalence_data(connection, 'Infectious')\n", + "\n", + "# df_question2 = pd.read_sql(query_2, connection)\n", + "\n", + "age_order = ['0-18', '19-35', '36-60', '61+']\n", + "\n", + "df_question2['AgeGroup'] = pd.Categorical(df_question2['AgeGroup'], categories=age_order, ordered=True)\n", + "\n", + "# Plot the graph with the updated order\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(\n", + " data=df_question2,\n", + " x=\"AgeGroup\",\n", + " y=\"AvgPrevalence\",\n", + " hue=\"Gender\",\n", + " palette=\"viridis\"\n", + ")\n", + "plt.title(\"Prevalence Rate of by Age Group and Gender\")\n", + "plt.xlabel(\"Age Group\")\n", + "plt.ylabel(\"Average Prevalence Rate (%)\")\n", + "plt.xticks(rotation=45)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1639260823.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_question3 = pd.read_sql(query_3, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName AvgHealthcareAccess AvgDoctorsPer1000 \\\n", + "0 Malaria 74.786759 2.732954 \n", + "1 Ebola 74.704818 2.778387 \n", + "2 COVID-19 74.702642 2.706471 \n", + "3 Parkinson's Disease 74.792696 2.742936 \n", + "4 Tuberculosis 74.985969 2.764276 \n", + "\n", + " AvgRecoveryRate \n", + "0 74.801839 \n", + "1 74.398003 \n", + "2 74.255789 \n", + "3 74.335690 \n", + "4 74.538776 \n", + " AvgHealthcareAccess AvgDoctorsPer1000 AvgRecoveryRate\n", + "AvgHealthcareAccess 1.000000 -0.087803 0.336193\n", + "AvgDoctorsPer1000 -0.087803 1.000000 -0.058986\n", + "AvgRecoveryRate 0.336193 -0.058986 1.000000\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", + " with pd.option_context('mode.use_inf_as_na', True):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", + " with pd.option_context('mode.use_inf_as_na', True):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", + " with pd.option_context('mode.use_inf_as_na', True):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n", + " self._figure.tight_layout(*args, **kwargs)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 3: \n", + "# Is there a correlation between healthcare access, the number of doctors per 1000 people, \n", + "# and the recovery rate for specific diseases?\n", + "\n", + "query_3 = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(HealthcareAccess) AS AvgHealthcareAccess,\n", + " AVG(DoctorsPer1000) AS AvgDoctorsPer1000,\n", + " AVG(RecoveryRate) AS AvgRecoveryRate\n", + "FROM HealthStatistics\n", + "GROUP BY DiseaseName;\n", + "\"\"\"\n", + "\n", + "df_question3 = pd.read_sql(query_3, connection)\n", + "print(df_question3.head())\n", + "\n", + "correlation_matrix = df_question3[[\n", + " 'AvgHealthcareAccess',\n", + " 'AvgDoctorsPer1000',\n", + " 'AvgRecoveryRate'\n", + "]].corr()\n", + "\n", + "print(correlation_matrix)\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", + "plt.title(\"Correlation Between Healthcare Access, Doctors, and Recovery Rate\")\n", + "plt.show()\n", + "\n", + "\n", + "sns.pairplot(\n", + " df_question3,\n", + " vars=['AvgHealthcareAccess', 'AvgDoctorsPer1000', 'AvgRecoveryRate'],\n", + " kind=\"reg\"\n", + ")\n", + "plt.suptitle(\"Relationships Between Healthcare Access, Doctors, and Recovery Rate\", y=1.02)\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\3706241603.py:17: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_question4 = pd.read_sql(query_4, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", + "0 Malaria 5.148557 51036.541119 0.656155\n", + "1 Hepatitis 5.111002 50134.584410 0.648586\n", + "2 Rabies 5.087610 50758.945881 0.648486\n", + "3 Tuberculosis 5.085437 49793.941319 0.650789\n", + "4 Measles 5.082200 50287.037513 0.649193\n", + " AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", + "AvgMortalityRate 1.000000 0.119010 0.742968\n", + "AvgPerCapitaIncome 0.119010 1.000000 0.346141\n", + "AvgEducationIndex 0.742968 0.346141 1.000000\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 4: \n", + "# Which infectious diseases have the highest mortality rates, and how do socioeconomic factors \n", + "# (e.g., per capita income, education index) influence these rates?\n", + "\n", + "query_4 = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(MortalityRate) AS AvgMortalityRate,\n", + " AVG(PerCapitaIncome) AS AvgPerCapitaIncome,\n", + " AVG(EducationIndex) AS AvgEducationIndex\n", + "FROM HealthStatistics\n", + "GROUP BY DiseaseName\n", + "ORDER BY AvgMortalityRate DESC\n", + "LIMIT 10;\n", + "\"\"\"\n", + "\n", + "df_question4 = pd.read_sql(query_4, connection)\n", + "# df_question4.describe()\n", + "print(df_question4.head())\n", + "\n", + "\n", + "# Calculate correlations\n", + "correlation_matrix = df_question4[[\n", + " 'AvgMortalityRate', \n", + " 'AvgPerCapitaIncome', \n", + " 'AvgEducationIndex'\n", + "]].corr()\n", + "\n", + "print(correlation_matrix)\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", + "plt.title(\"Correlation Between Mortality Rate and Socioeconomic Factors\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1616853608.py:18: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_urbanization = pd.read_sql(query, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " AvgUrbanizationRate AvgIncidenceRate AvgPrevalenceRate\n", + "AvgUrbanizationRate 1.000000 0.344218 0.162751\n", + "AvgIncidenceRate 0.344218 1.000000 -0.181572\n", + "AvgPrevalenceRate 0.162751 -0.181572 1.000000\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 5:\n", + "# Does the urbanization rate affect the incidence and prevalence rates of infectious diseases? \n", + "# Are urban areas more vulnerable to certain outbreaks?\n", + "\n", + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(UrbanizationRate) AS AvgUrbanizationRate,\n", + " AVG(IncidenceRate) AS AvgIncidenceRate,\n", + " AVG(PrevalenceRate) AS AvgPrevalenceRate\n", + "FROM HealthStatistics\n", + "WHERE DiseaseCategory = 'Infectious'\n", + "GROUP BY DiseaseName\n", + "ORDER BY AvgUrbanizationRate DESC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a pandas DataFrame\n", + "df_urbanization = pd.read_sql(query, connection)\n", + "\n", + "df_urbanization.describe()\n", + "# Calculate correlation\n", + "correlation_matrix = df_urbanization[[\n", + " 'AvgUrbanizationRate',\n", + " 'AvgIncidenceRate',\n", + " 'AvgPrevalenceRate'\n", + "]].corr()\n", + "\n", + "print(correlation_matrix)\n", + "\n", + "# Visualize correlation as a heatmap\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\")\n", + "plt.title(\"Correlation Between Urbanization and Disease Metrics\")\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\990198507.py:13: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_vaccine = pd.read_sql(query, connection)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName AvailabilityOfVaccinesTreatment AvgMortalityRate \\\n", + "0 Alzheimer's Disease Yes 5.440184 \n", + "1 HIV/AIDS Yes 5.401092 \n", + "2 Influenza Yes 5.390083 \n", + "3 Malaria No 5.360365 \n", + "4 Rabies No 5.339690 \n", + "\n", + " AvgRecoveryRate \n", + "0 75.933502 \n", + "1 74.485672 \n", + "2 73.891701 \n", + "3 73.713059 \n", + "4 74.395177 \n", + " AvailabilityOfVaccinesTreatment AvgMortalityRate AvgRecoveryRate\n", + "0 No 5.023736 74.244544\n", + "1 Yes 5.105629 74.391719\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AvailabilityOfVaccinesTreatment,\n", + " AVG(MortalityRate) AS AvgMortalityRate,\n", + " AVG(RecoveryRate) AS AvgRecoveryRate\n", + "FROM HealthStatistics\n", + "WHERE DiseaseCategory = 'Infectious'\n", + "GROUP BY DiseaseName, AvailabilityOfVaccinesTreatment\n", + "ORDER BY AvgMortalityRate DESC;\n", + "\"\"\"\n", + "\n", + "df_vaccine = pd.read_sql(query, connection)\n", + "print(df_vaccine.head())\n", + "\n", + "df_summary = df_vaccine.groupby(\"AvailabilityOfVaccinesTreatment\").agg({\n", + " \"AvgMortalityRate\": \"mean\",\n", + " \"AvgRecoveryRate\": \"mean\"\n", + "}).reset_index()\n", + "\n", + "print(df_summary)\n", + "\n", + "\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Bar plot for Mortality and Recovery Rates by Vaccine Availability\n", + "df_melted = df_summary.melt(id_vars=\"AvailabilityOfVaccinesTreatment\", \n", + " value_vars=[\"AvgMortalityRate\", \"AvgRecoveryRate\"],\n", + " var_name=\"Metric\", \n", + " value_name=\"Rate\")\n", + "\n", + "plt.figure(figsize=(8, 5))\n", + "sns.barplot(data=df_melted, x=\"AvailabilityOfVaccinesTreatment\", y=\"Rate\", hue=\"Metric\", palette=\"viridis\")\n", + "plt.title(\"Impact of Vaccine Availability on Mortality and Recovery Rates\")\n", + "plt.xlabel(\"Availability of Vaccines/Treatments\")\n", + "plt.ylabel(\"Rate (%)\")\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\547848016.py:12: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_dalys = pd.read_sql(query, connection)\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", + " if pd.api.types.is_categorical_dtype(vector):\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName TotalDALYs\n", + "0 Asthma 12889410.0\n", + "1 Influenza 12885168.0\n", + "2 Leprosy 12881995.0\n", + "3 Ebola 12795525.0\n", + "4 Diabetes 12793286.0\n", + "5 COVID-19 12609290.0\n", + "6 HIV/AIDS 12599253.0\n", + "7 Cholera 12580108.0\n", + "8 Alzheimer's Disease 12543637.0\n", + "9 Zika 12521254.0\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " SUM(DALYs) AS TotalDALYs\n", + "FROM HealthStatistics\n", + "GROUP BY DiseaseName\n", + "ORDER BY TotalDALYs DESC\n", + "LIMIT 10;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a DataFrame\n", + "df_dalys = pd.read_sql(query, connection)\n", + "\n", + "# Display the top diseases contributing to DALYs\n", + "print(df_dalys)\n", + "\n", + "\n", + "# Bar plot for top diseases by DALYs\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(data=df_dalys, x=\"TotalDALYs\", y=\"DiseaseName\", palette=\"viridis\")\n", + "plt.title(\"Top Diseases Contributing to DALYs Globally\")\n", + "plt.xlabel(\"Total DALYs\")\n", + "plt.ylabel(\"Disease Name\")\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.10" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/global_health_observatory_download b/global_health_observatory_download deleted file mode 100644 index efbd199..0000000 --- a/global_health_observatory_download +++ /dev/null @@ -1,58 +0,0 @@ -# GLOBAL HEALTH OBSERVATORY DOWNLOAD - -This zip data file has been downloaded from: - -- **Name**: World Health Statistics -- **URL**: [https://www.who.int/data/gho/data/themes/world-health-statistics](https://www.who.int/data/gho/data/themes/world-health-statistics) -- **Description**: - The United Nations Sustainable Development Goals (SDGs) are 17 goals with 169 targets that all 191 UN Member States have agreed to try to achieve by the year 2030. Health has a central place in **SDG 3**: *Ensure healthy lives and promote well-being for all at all ages*, underpinned by 13 targets that cover a wide spectrum of WHO’s work. Almost all of the other 16 goals are directly related to health or will contribute to health indirectly. - - The new agenda, which builds on the Millennium Development Goals, aims to be relevant to all countries and focuses on improving equity to meet the needs of women, children, and the poorest, most disadvantaged people. WHO's annual *World Health Statistics* reports present the most recent health statistics for the WHO Member States. - -# Dataset Field Descriptions - -- **Id**: A unique identifier for each record in the dataset. - -- **IndicatorCode**: The code corresponding to the specific indicator being measured (e.g., `"WSH_HYGIENE_BASIC"`). - -- **SpatialDimension**: The type of spatial categorization, such as `"COUNTRY"`, indicating the data pertains to a country. - -- **SpatialDimensionValueCode**: The specific code for the spatial dimension (e.g., `"BEN"` for Benin, `"KGZ"` for Kyrgyzstan). - -- **ParentLocationCode**: Code for the broader geographic area (e.g., `"AFR"` for Africa, `"EUR"` for Europe). - -- **ParentLocation**: The name of the parent location corresponding to the code (e.g., `"Africa"`, `"Europe"`). - -- **TimeDimension**: Indicates the temporal unit of the data (e.g., `"YEAR"` for annual data). - -- **TimeDim**: The specific year for which the data is reported. - -- **DisaggregatingDimension1**: A variable for breaking down the data, such as residence type. - -- **DisaggregatingDimension1ValueCode**: The specific code for the disaggregating variable (e.g., `"RESIDENCEAREATYPE_RUR"` for rural areas). - -- **DisaggregatingDimension2**, **DisaggregatingDimension2ValueCode**: Placeholder for additional disaggregation dimensions and their values (if applicable). - -- **DisaggregatingDimension3**, **DisaggregatingDimension3ValueCode**: Additional dimensions for further breakdowns, though these columns are empty in this sample. - -- **DataSourceDimension**: A placeholder for the source of the data (e.g., `"Survey"`). - -- **DataSourceDimensionValueCode**: Code corresponding to the data source (if applicable). - -- **Value**: The actual value measured for the indicator. - -- **NumericValue**: A numeric representation of the value (possibly formatted for computations). - -- **Low**: The lower bound of the confidence interval or range for the value (if applicable). - -- **High**: The upper bound of the confidence interval or range for the value (if applicable). - -- **Comments**: Additional notes or context about the data. - -- **Date**: The date the record was last updated or reported. - -- **TimeDimensionValue**: Another reference for the time period (same as **TimeDim**). - -- **TimeDimensionBegin**: Start date for the time period. - -- **TimeDimensionEnd**: End date for the time period. From 05d4beae31d52ae6cd935bbe2e7ec0f785eeb834 Mon Sep 17 00:00:00 2001 From: dbigman Date: Thu, 26 Dec 2024 02:14:45 -0400 Subject: [PATCH 09/10] updates, answers. --- Business Challenge EDA and SQL.ipynb | 2333 +++++++++++++-------- Business Challenge EDA and SQL_home.ipynb | 659 ++---- GlobalHealth.sql | 61 +- below_average_countries.csv | 8 + df_below_average.csv | 8 + df_dalys.csv | 11 + df_stats.csv | 19 + df_treatment_cost.csv | 401 ++++ df_vaccine.csv | 41 + highest_disease_burden_countries.csv | 11 + highest_prevalence.csv | 21 + 11 files changed, 2128 insertions(+), 1445 deletions(-) create mode 100644 below_average_countries.csv create mode 100644 df_below_average.csv create mode 100644 df_dalys.csv create mode 100644 df_stats.csv create mode 100644 df_treatment_cost.csv create mode 100644 df_vaccine.csv create mode 100644 highest_disease_burden_countries.csv create mode 100644 highest_prevalence.csv diff --git a/Business Challenge EDA and SQL.ipynb b/Business Challenge EDA and SQL.ipynb index 8591fab..53d8277 100644 --- a/Business Challenge EDA and SQL.ipynb +++ b/Business Challenge EDA and SQL.ipynb @@ -7,50 +7,11 @@ "Business Challenge: EDA and SQL\n" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "| **Attribute** | **Description** |\n", - "|----------------------------------|---------------------------------------------------------------------------------------------------|\n", - "| **Country** | The name of the country where the health data was recorded. |\n", - "| **Year** | The year in which the data was collected. |\n", - "| **Disease Name** | The name of the disease or health condition tracked. |\n", - "| **Disease Category** | The category of the disease (e.g., Infectious, Non-Communicable). |\n", - "| **Prevalence Rate (%)** | The percentage of the population affected by the disease. |\n", - "| **Incidence Rate (%)** | The percentage of new or newly diagnosed cases. |\n", - "| **Mortality Rate (%)** | The percentage of the affected population that dies from the disease. |\n", - "| **Age Group** | The age range most affected by the disease. |\n", - "| **Gender** | The gender(s) affected by the disease (Male, Female, Both). |\n", - "| **Population Affected** | The total number of individuals affected by the disease. |\n", - "| **Healthcare Access (%)** | The percentage of the population with access to healthcare. |\n", - "| **Doctors per 1000** | The number of doctors per 1000 people. |\n", - "| **Hospital Beds per 1000** | The number of hospital beds available per 1000 people. |\n", - "| **Treatment Type** | The primary treatment method for the disease (e.g., Medication, Surgery). |\n", - "| **Average Treatment Cost (USD)** | The average cost of treating the disease in USD. |\n", - "| **Availability of Vaccines/Treatment** | Whether vaccines or treatments are available. |\n", - "| **Recovery Rate (%)** | The percentage of people who recover from the disease. |\n", - "| **DALYs** | Disability-Adjusted Life Years, a measure of disease burden. |\n", - "| **Improvement in 5 Years (%)** | The improvement in disease outcomes over the last five years. |\n", - "| **Per Capita Income (USD)** | The average income per person in the country. |\n", - "| **Education Index** | The average level of education in the country. |\n", - "| **Urbanization Rate (%)** | The percentage of the population living in urban areas. |\n" - ] - }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total number of rows: 1000003\n", - "Detected Encoding: ascii\n" - ] - } - ], + "outputs": [], "source": [ "import csv\n", "import chardet\n", @@ -74,33 +35,142 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "File successfully split into 11 chunks in the folder: C:\\Users\\Dan\\Desktop\\chunks\n" - ] - } - ], + "outputs": [], "source": [ "import csv\n", "import chardet\n", "import os\n", + "from typing import Dict\n", + "\n", + "\n", + "def split_csv_into_chunks(\n", + " input_file: str,\n", + " column_mapping: Dict[str, str]\n", + ") -> None:\n", + " \"\"\"\n", + " Splits a CSV file into 10 chunks, renames the column headers\n", + " according to a provided mapping, and saves each chunk as a separate file.\n", + "\n", + " :param input_file: The path to the input CSV file.\n", + " :param column_mapping: A dictionary mapping original CSV column headers to new column names.\n", + "\n", + " Example:\n", + " column_mapping = {\n", + " \"Country\": \"Country\",\n", + " \"Year\": \"Year\",\n", + " ...\n", + " }\n", + " split_csv_into_chunks(\n", + " input_file=\"C:/path/to/Global Health Statistics.csv\",\n", + " column_mapping=column_mapping\n", + " )\n", + " \"\"\"\n", + "\n", + " # Fixed number of chunks\n", + " num_chunks = 10\n", + "\n", + " # -------------------------------------------------------------------------\n", + " # VALIDATION CHECKS\n", + " # -------------------------------------------------------------------------\n", + " # 1. Check if the input CSV file exists and is a file\n", + " \n", + " if not os.path.isfile(input_file):\n", + " raise FileNotFoundError(f\"Input file does not exist or is not a file: {input_file}\")\n", + " \n", + " # 2. Check if file is non-empty (has at least 1 line)\n", + " if os.path.getsize(input_file) == 0:\n", + " raise ValueError(f\"Input file is empty: {input_file}\")\n", + "\n", + " # -------------------------------------------------------------------------\n", + " # Create output folder for the chunks\n", + " # -------------------------------------------------------------------------\n", + " output_folder = os.path.join(os.path.dirname(input_file), \"chunks\")\n", + " os.makedirs(output_folder, exist_ok=True)\n", + "\n", + " # -------------------------------------------------------------------------\n", + " # EXCEPTION HANDLING for file operations\n", + " # -------------------------------------------------------------------------\n", + " try:\n", + " # Detect file encoding\n", + " with open(input_file, 'rb') as file:\n", + " raw_data = file.read()\n", + " result = chardet.detect(raw_data)\n", + " encoding = result['encoding'] if result['encoding'] else 'utf-8'\n", + " except OSError as e:\n", + " raise OSError(f\"Failed to open/read the file for encoding detection: {e}\")\n", "\n", - "# The original dataset is taking too long to insert, so I split into 10 chunks. \n", - "# Column names were changed to match \n", + " try:\n", + " # Determine total number of rows (subtract 1 for the header row)\n", + " with open(input_file, 'r', encoding=encoding) as infile:\n", + " total_rows = sum(1 for _ in infile) - 1\n", + " except OSError as e:\n", + " raise OSError(f\"Failed to open/read the file for row counting: {e}\")\n", + "\n", + " # If there's no data besides the header, raise an error\n", + " if total_rows <= 0:\n", + " raise ValueError(f\"Input file does not contain data rows only header: {input_file}\")\n", + "\n", + " # Calculate rows per chunk\n", + " rows_per_chunk = max(total_rows // num_chunks, 1)\n", + " remainder = total_rows % num_chunks\n", + "\n", + " try:\n", + " with open(input_file, 'r', encoding=encoding) as infile:\n", + " reader = csv.reader(infile)\n", + " original_header = next(reader) # Extract the original header\n", + "\n", + " # Rename headers using the column_mapping\n", + " renamed_header = [column_mapping.get(col, col) for col in original_header]\n", + "\n", + " chunk_number = 1\n", + " rows_buffer = []\n", + "\n", + " for _, row in enumerate(reader, start=1):\n", + " rows_buffer.append(row)\n", + " rows_in_current_chunk = rows_per_chunk + (1 if remainder > 0 else 0)\n", "\n", - "input_file = r\"C:\\Users\\Dan\\Desktop\\Global Health Statistics.csv\"\n", - "num_chunks = 10 # Number of chunks to split the file into\n", + " if len(rows_buffer) == rows_in_current_chunk:\n", + " _write_chunk(output_folder, chunk_number, renamed_header, rows_buffer)\n", + " chunk_number += 1\n", + " rows_buffer = []\n", + " if remainder > 0:\n", + " remainder -= 1\n", "\n", - "# Create a folder to save the chunks\n", - "output_folder = os.path.join(os.path.dirname(input_file), \"chunks\")\n", - "os.makedirs(output_folder, exist_ok=True)\n", + " # Write out any leftover rows\n", + " if rows_buffer:\n", + " _write_chunk(output_folder, chunk_number, renamed_header, rows_buffer)\n", + "\n", + " print(f\"File successfully split into {chunk_number} chunk(s) in the folder: {output_folder}\")\n", + "\n", + " except OSError as e:\n", + " raise OSError(f\"Error reading from input CSV file: {e}\")\n", + "\n", + "\n", + "def _write_chunk(\n", + " output_folder: str,\n", + " chunk_number: int,\n", + " header: list,\n", + " rows: list\n", + ") -> None:\n", + " \"\"\"\n", + " Helper function to write the specified rows to a chunked CSV file.\n", + "\n", + " :param output_folder: Directory where the chunked files will be saved.\n", + " :param chunk_number: Current chunk index to be appended to the filename.\n", + " :param header: Renamed header row.\n", + " :param rows: List of rows (data) to be written.\n", + " \"\"\"\n", + " output_file = os.path.join(output_folder, f\"chunk_{chunk_number}.csv\")\n", + " try:\n", + " with open(output_file, 'w', encoding='utf-8', newline='') as outfile:\n", + " writer = csv.writer(outfile)\n", + " writer.writerow(header)\n", + " writer.writerows(rows)\n", + " except OSError as e:\n", + " raise OSError(f\"Unable to write chunk to file '{output_file}': {e}\")\n", "\n", - "# Column mapping from CSV to database column names\n", "column_mapping = {\n", " \"Country\": \"Country\",\n", " \"Year\": \"Year\",\n", @@ -126,76 +196,29 @@ " \"Urbanization Rate (%)\": \"UrbanizationRate\"\n", "}\n", "\n", - "# Detect encoding of the file\n", - "with open(input_file, 'rb') as file:\n", - " raw_data = file.read()\n", - " result = chardet.detect(raw_data)\n", - " encoding = result['encoding']\n", - "\n", - "# Count total rows in the file\n", - "with open(input_file, 'r', encoding=encoding) as infile:\n", - " total_rows = sum(1 for _ in infile) - 1 # Subtract 1 for the header row\n", - "\n", - "# Calculate rows per chunk\n", - "rows_per_chunk = total_rows // num_chunks\n", - "remainder = total_rows % num_chunks # Handle any leftover rows\n", - "\n", - "# Split the file into chunks\n", - "with open(input_file, 'r', encoding=encoding) as infile:\n", - " reader = csv.reader(infile)\n", - " header = next(reader) # Save the header row\n", - "\n", - " # Rename the headers according to the column mapping\n", - " renamed_header = [column_mapping.get(col, col) for col in header]\n", - "\n", - " chunk_number = 1\n", - " rows = []\n", - "\n", - " for i, row in enumerate(reader, start=1):\n", - " rows.append(row)\n", - " if len(rows) == rows_per_chunk + (1 if remainder > 0 else 0): # Add 1 row for chunks with remainder\n", - " output_file = os.path.join(output_folder, f\"chunk_{chunk_number}.csv\")\n", - " with open(output_file, 'w', encoding='utf-8', newline='') as outfile:\n", - " writer = csv.writer(outfile)\n", - " writer.writerow(renamed_header) # Write the renamed header\n", - " writer.writerows(rows)\n", - " chunk_number += 1\n", - " rows = [] # Clear the list for the next chunk\n", - " if remainder > 0:\n", - " remainder -= 1 # Decrease the remainder for the next chunk\n", - "\n", - " # Write the remaining rows\n", - " if rows:\n", - " output_file = os.path.join(output_folder, f\"chunk_{chunk_number}.csv\")\n", - " with open(output_file, 'w', encoding='utf-8', newline='') as outfile:\n", - " writer = csv.writer(outfile)\n", - " writer.writerow(renamed_header)\n", - " writer.writerows(rows)\n", + "# path to CSV file\n", + "input_file_path = r\"C:\\Users\\dbigman\\OneDrive - SUDOC LLC\\Desktop\\Global Health Statistics.csv\"\n", "\n", - "print(f\"File successfully split into {chunk_number} chunks in the folder: {output_folder}\")\n" + "try:\n", + " split_csv_into_chunks(\n", + " input_file=input_file_path,\n", + " column_mapping=column_mapping\n", + " )\n", + "except Exception as e:\n", + " print(f\"An error occurred: {e}\")" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 37, "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "ic| f\"Connected to the {database} database successfully!\": 'Connected to the GlobalHealth database successfully!'\n" + "Connected to the GlobalHealth database successfully!\n" ] - }, - { - "data": { - "text/plain": [ - "'Connected to the GlobalHealth database successfully!'" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ @@ -220,7 +243,7 @@ "\n", "cursor = connection.cursor()\n", "\n", - "ic(f\"Connected to the {database} database successfully!\")\n", + "print(f\"Connected to the {database} database successfully!\")\n", "\n", "# # TRUNCATE erases the tale. \n", "# try:\n", @@ -237,46 +260,39 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 36, "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", - " '9.1\\\\Uploads\\\\chunks\\\\chunk_1.csv...')\n", - "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.48 seconds'\n", - "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", - " '9.1\\\\Uploads\\\\chunks\\\\chunk_2.csv...')\n", - "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.31 seconds'\n", - "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", - " '9.1\\\\Uploads\\\\chunks\\\\chunk_3.csv...')\n", - "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.27 seconds'\n", - "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", - " '9.1\\\\Uploads\\\\chunks\\\\chunk_4.csv...')\n", - "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.26 seconds'\n", - "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", - " '9.1\\\\Uploads\\\\chunks\\\\chunk_5.csv...')\n", - "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.36 seconds'\n", - "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", - " '9.1\\\\Uploads\\\\chunks\\\\chunk_6.csv...')\n", - "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.19 seconds'\n", - "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", - " '9.1\\\\Uploads\\\\chunks\\\\chunk_7.csv...')\n", - "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.29 seconds'\n", - "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", - " '9.1\\\\Uploads\\\\chunks\\\\chunk_8.csv...')\n", - "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.35 seconds'\n", - "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", - " '9.1\\\\Uploads\\\\chunks\\\\chunk_9.csv...')\n", - "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.40 seconds'\n", - "ic| f\"Loading {chunk_file}...\": ('Loading C:\\\\ProgramData\\\\MySQL\\\\MySQL Server '\n", - " '9.1\\\\Uploads\\\\chunks\\\\chunk_10.csv...')\n", - "ic| f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\": 'Table healthstatistics has been cleared. Execution time: 2.35 seconds'\n" + "Connected to the GlobalHealth database successfully!\n" ] } ], + "source": [ + "# Switch to SQLAlchemy, because of UserWarning: \n", + "from sqlalchemy import create_engine\n", + "\n", + "# Database connection settings\n", + "host = \"localhost\" # host, e.g., 127.0.0.1 or a server address\n", + "user = \"root\" # MySQL username\n", + "password = \"Malcomx1\" # MySQL password\n", + "database = \"GlobalHealth\" # database name\n", + "\n", + "\n", + "# creates a SQLAlchemy engine, which serves as the entry point for interacting with the database\n", + "engine = create_engine(f\"mysql+pymysql://{user}:{password}@{host}/{database}\")\n", + "\n", + "print(f\"Connected to the {database} database successfully!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "import os\n", "import time\n", @@ -289,7 +305,7 @@ "# Load each chunk file sequentially\n", "for chunk_number in range(1, 11): # Assuming chunks are named chunk_1.csv to chunk_10.csv\n", " chunk_file = os.path.join(chunk_folder, f\"chunk_{chunk_number}.csv\")\n", - " ic(f\"Loading {chunk_file}...\")\n", + " print(f\"Loading {chunk_file}...\")\n", " \n", " # Construct the LOAD DATA INFILE query\n", " query = \"\"\"\n", @@ -313,15 +329,15 @@ " connection.commit()\n", " # End the timer\n", " end_time = time.time()\n", - " # print(f\"Successfully loaded {chunk_file}\")\n", + " print(f\"Successfully loaded {chunk_file}\")\n", " # Calculate and print the elapsed time\n", " elapsed_time = end_time - start_time\n", - " ic(f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\")\n", + " # ic(f\"Table healthstatistics has been cleared. Execution time: {elapsed_time:.2f} seconds\")\n", " # print(f\"Successfully loaded {chunk_file}\")\n", " # Calculate and print the elapsed time\n", "\n", " except pymysql.MySQLError as e:\n", - " ic(f\"Error loading {chunk_file}: {e}\")\n", + " print(f\"Error loading {chunk_file}: {e}\")\n", "\n", "# Close the connection\n", "# cursor.close()\n", @@ -331,672 +347,612 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 35, "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'chunk_folder' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[2], line 5\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;66;03m# Load each chunk file sequentially\u001b[39;00m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m chunk_number \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m11\u001b[39m): \u001b[38;5;66;03m# Assuming chunks are named chunk_1.csv to chunk_10.csv\u001b[39;00m\n\u001b[1;32m----> 5\u001b[0m chunk_file \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(\u001b[43mchunk_folder\u001b[49m, \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mchunk_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mchunk_number\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 6\u001b[0m ic(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLoading \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mchunk_file\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m...\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 8\u001b[0m \u001b[38;5;66;03m# Construct the LOAD DATA INFILE query\u001b[39;00m\n", - "\u001b[1;31mNameError\u001b[0m: name 'chunk_folder' is not defined" - ] - } - ], + "outputs": [], "source": [ - "import os\n", + "import numpy as np\n", + "from scipy import stats\n", + "import re\n", "\n", - "# Load each chunk file sequentially\n", - "for chunk_number in range(1, 11): # Assuming chunks are named chunk_1.csv to chunk_10.csv\n", - " chunk_file = os.path.join(chunk_folder, f\"chunk_{chunk_number}.csv\")\n", - " ic(f\"Loading {chunk_file}...\")\n", + "\n", + "def descriptive_statistics(data, alpha=0.05):\n", + " \"\"\"\n", + " Calculate various descriptive statistics for numerical continuous data.\n", " \n", - " # Construct the LOAD DATA INFILE query\n", - " query = \"\"\"\n", - " LOAD DATA LOCAL INFILE '{chunk_file}'\n", - " INTO TABLE healthstatistics\n", - " FIELDS TERMINATED BY ',' \n", - " ENCLOSED BY '\"'\n", - " LINES TERMINATED BY '\\\\n'\n", - " IGNORE 1 LINES\n", - " (\n", - " Country, Year, DiseaseName, DiseaseCategory, PrevalenceRate, IncidenceRate, MortalityRate, AgeGroup, Gender, PopulationAffected, \n", - " HealthcareAccess, DoctorsPer1000, HospitalBedsPer1000, TreatmentType, AverageTreatmentCost, AvailabilityOfVaccinesTreatment, RecoveryRate, DALYs,\n", - " ImprovementIn5Years, PerCapitaIncome, EducationIndex, UrbanizationRate\n", - " );\n", - " \"\"\".format(chunk_file=chunk_file.replace(\"\\\\\", \"/\"))\n", + " Parameters\n", + " ----------\n", + " data : array-like\n", + " A 1D list or numpy array of numerical data (continuous).\n", + " alpha : float, optional\n", + " Significance level for confidence intervals (default is 0.05, i.e., 95% CI).\n", + "\n", + " Returns\n", + " -------\n", + " dict\n", + " A dictionary containing:\n", + " - 'count': Number of valid (non-NaN) data points\n", + " - 'mean': Arithmetic mean\n", + " - 'median': Median (Q2)\n", + " - 'std': Standard Deviation\n", + " - 'variance': Variance\n", + " - 'range': Range (max - min)\n", + " - 'min': Minimum value\n", + " - 'max': Maximum value\n", + " - 'mode': Mode (most frequent value)\n", + " - 'iqr': Interquartile Range (Q3 - Q1)\n", + " - 'quartiles': (Q1, Q2, Q3)\n", + " - 'percentiles': Dictionary of selected percentiles (e.g. 5th, 95th)\n", + " - 'mad': Median Absolute Deviation\n", + " - 'skewness': Skewness\n", + " - 'kurtosis': Kurtosis\n", + " - 'cv': Coefficient of Variation (Std / Mean)\n", + " - 'standard_error': Standard Error of the mean\n", + " - 'confidence_interval': (lower_bound, upper_bound) for (1 - alpha)*100% CI\n", + " \"\"\"\n", + " # Convert to a numpy array and remove any NaN/inf values\n", + " data = np.array(data, dtype=float)\n", + " data = data[np.isfinite(data)]\n", + " \n", + " # Edge case: if data is empty or has 1 element, handle gracefully\n", + " if len(data) < 1:\n", + " return {\n", + " 'count': 0,\n", + " 'mean': None,\n", + " 'median': None,\n", + " 'std': None,\n", + " 'variance': None,\n", + " 'range': None,\n", + " 'min': None,\n", + " 'max': None,\n", + " 'mode': None,\n", + " 'iqr': None,\n", + " 'quartiles': None,\n", + " 'percentiles': None,\n", + " 'mad': None,\n", + " 'skewness': None,\n", + " 'kurtosis': None,\n", + " 'cv': None,\n", + " 'standard_error': None,\n", + " 'confidence_interval': (None, None),\n", + " }\n", + " elif len(data) == 1:\n", + " return {\n", + " 'count': 1,\n", + " 'mean': data[0],\n", + " 'median': data[0],\n", + " 'std': 0.0,\n", + " 'variance': 0.0,\n", + " 'range': 0.0,\n", + " 'min': data[0],\n", + " 'max': data[0],\n", + " 'mode': data[0],\n", + " 'iqr': 0.0,\n", + " 'quartiles': (data[0], data[0], data[0]),\n", + " 'percentiles': {'5th': data[0], '95th': data[0]},\n", + " 'mad': 0.0,\n", + " 'skewness': 0.0,\n", + " 'kurtosis': 0.0,\n", + " 'cv': 0.0,\n", + " 'standard_error': 0.0,\n", + " 'confidence_interval': (data[0], data[0]),\n", + " }\n", + "\n", + " # Calculate the basic descriptive statistics\n", + " n = len(data)\n", + " count = n\n", + " mean_ = np.mean(data)\n", + " median_ = np.median(data)\n", + " std_ = np.std(data, ddof=1) # sample standard deviation (ddof=1)\n", + " var_ = np.var(data, ddof=1) # sample variance\n", + " min_ = np.min(data)\n", + " max_ = np.max(data)\n", + " range_ = max_ - min_\n", + " \n", + " # Mode: can return multiple values; we'll pick the first.\n", + " # SciPy >= 1.11 returns mode as an array; older versions return a single value.\n", + " mode_res = stats.mode(data, keepdims=True)\n", + " mode_ = mode_res.mode[0] if hasattr(mode_res, 'mode') else mode_res[0]\n", "\n", + " # Interquartile range\n", + " iqr_ = stats.iqr(data, interpolation='midpoint')\n", + " \n", + " # Quartiles (Q1, Q2, Q3)\n", + " Q1, Q2, Q3 = np.percentile(data, [25, 50, 75])\n", "\n", - "####\n", + " # Other percentiles (5th, 95th)\n", + " p5, p95 = np.percentile(data, [5, 95])\n", + " percentile_dict = {'5th': p5, '95th': p95}\n", + " \n", + " # Median Absolute Deviation (MAD)\n", + " # SciPy 1.7+ has stats.median_abs_deviation.\n", + " # If your version doesn't have it, you can compute manually:\n", + " mad_ = stats.median_abs_deviation(data, scale='normal')\n", + "\n", + " # Skewness and Kurtosis\n", + " skew_ = stats.skew(data, bias=False)\n", + " kurt_ = stats.kurtosis(data, bias=False)\n", + "\n", + " # Coefficient of Variation (CV)\n", + " # Guard against division by zero if mean_ is 0.\n", + " cv_ = std_ / mean_ if mean_ != 0 else None\n", + "\n", + " # Standard Error of the Mean (SE)\n", + " sem_ = std_ / np.sqrt(n)\n", + "\n", + " # Confidence Interval (we'll use t-distribution for smaller samples)\n", + " # For large n, this approximates the normal distribution CI.\n", + " # alpha = 0.05 => 95% CI\n", + " t_critical = stats.t.ppf(1 - alpha/2, df=n-1)\n", + " ci_lower = mean_ - t_critical * sem_\n", + " ci_upper = mean_ + t_critical * sem_\n", + " \n", + " stats_dict = {\n", + " 'count': count,\n", + " 'mean': mean_,\n", + " 'median': median_,\n", + " 'std': std_,\n", + " 'variance': var_,\n", + " 'range': range_,\n", + " 'min': min_,\n", + " 'max': max_,\n", + " 'mode': mode_,\n", + " 'iqr': iqr_,\n", + " 'quartiles': (Q1, Q2, Q3),\n", + " 'percentiles': percentile_dict,\n", + " 'mad': mad_,\n", + " 'skewness': skew_,\n", + " 'kurtosis': kurt_,\n", + " 'cv': cv_,\n", + " 'standard_error': sem_,\n", + " 'confidence_interval': (ci_lower, ci_upper),\n", + " }\n", + " \n", + " return stats_dict\n", "\n", "\n", - "table_schema = 'GlobalHealth'\n", - "table = 'healthstatistics'\n", "\n", - "try:\n", - " # Query to count rows\n", - " \n", - " row_count_query = \"SELECT COUNT(*) AS total_rows FROM {table};\"\n", - " cursor.execute(row_count_query)\n", - " total_rows = cursor.fetchone()[0]\n", - " \n", - " # Query to count columns\n", - " column_count_query = \"\"\"\n", - " SELECT COUNT(*) AS total_columns\n", - " FROM INFORMATION_SCHEMA.COLUMNS\n", - " WHERE TABLE_NAME = {table} AND TABLE_SCHEMA = {GlobalHealth};\n", + "def is_numeric_mysql_type(mysql_type):\n", " \"\"\"\n", - " cursor.execute(column_count_query)\n", - " total_columns = cursor.fetchone()[0]\n", - " \n", - " print(f\"The table {table} has {total_rows} rows and {total_columns} columns.\")\n", - "except pymysql.MySQLError as e:\n", - " print(f\"Error: {e}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\Dan\\AppData\\Local\\Temp\\ipykernel_17236\\333873676.py:5: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df = pd.read_sql(query, connection)\n", - "ic| df: id Country Year DiseaseName DiseaseCategory \n", - " 0 1 Italy 2013 Malaria Respiratory \\\n", - " 1 2 France 2002 Ebola Parasitic \n", - " 2 3 Turkey 2015 COVID-19 Genetic \n", - " 3 4 Indonesia 2011 Parkinson's Disease Autoimmune \n", - " 4 5 Italy 2013 Tuberculosis Genetic \n", - " 5 6 Saudi Arabia 2011 Dengue Bacterial \n", - " 6 7 USA 2013 Malaria Cardiovascular \n", - " 7 8 Nigeria 2007 Tuberculosis Neurological \n", - " 8 9 Italy 2000 Rabies Chronic \n", - " 9 10 Australia 2006 Cholera Chronic \n", - " \n", - " PrevalenceRate IncidenceRate MortalityRate AgeGroup Gender ... \n", - " 0 0.95 1.55 8.42 0-18 Male ... \\\n", - " 1 12.46 8.63 8.75 61+ Male ... \n", - " 2 0.91 2.35 6.22 36-60 Male ... \n", - " 3 4.68 6.29 3.99 0-18 Other ... \n", - " 4 0.83 13.59 7.01 61+ Male ... \n", - " 5 10.99 6.49 4.64 61+ Female ... \n", - " 6 18.42 6.33 9.33 61+ Female ... \n", - " 7 3.48 5.71 1.21 0-18 Female ... \n", - " 8 15.59 4.74 6.38 19-35 Female ... \n", - " 9 10.12 2.08 6.00 61+ Male ... \n", - " \n", - " HospitalBedsPer1000 TreatmentType AverageTreatmentCost \n", - " 0 7.58 Medication 21064.0 \\\n", - " 1 5.11 Surgery 47851.0 \n", - " 2 3.49 Vaccination 27834.0 \n", - " 3 8.44 Surgery 144.0 \n", - " 4 5.90 Medication 8908.0 \n", - " 5 0.62 Therapy 42671.0 \n", - " 6 3.31 Surgery 15579.0 \n", - " 7 3.54 Medication 15744.0 \n", - " 8 5.84 Therapy 7669.0 \n", - " 9 6.01 Medication 9468.0 \n", - " \n", - " AvailabilityOfVaccinesTreatment RecoveryRate DALYs ImprovementIn5Years \n", - " 0 No 91.82 4493.0 2.16 \\\n", - " 1 Yes 76.65 2366.0 4.82 \n", - " 2 Yes 98.55 41.0 5.81 \n", - " 3 Yes 67.35 3201.0 2.22 \n", - " 4 Yes 50.06 2832.0 6.93 \n", - " 5 Yes 93.17 416.0 9.83 \n", - " 6 No 92.80 4535.0 0.89 \n", - " 7 Yes 65.45 4584.0 9.81 \n", - " 8 Yes 59.23 2253.0 9.92 \n", - " 9 Yes 93.21 4694.0 2.96 \n", - " \n", - " PerCapitaIncome EducationIndex UrbanizationRate \n", - " 0 16886.0 0.79 86.02 \n", - " 1 80639.0 0.74 45.52 \n", - " 2 12245.0 0.41 40.20 \n", - " 3 49336.0 0.49 58.47 \n", - " 4 47701.0 0.50 48.14 \n", - " 5 29597.0 0.46 56.50 \n", - " 6 60027.0 0.70 20.48 \n", - " 7 23222.0 0.46 66.49 \n", - " 8 30849.0 0.55 41.27 \n", - " 9 68856.0 0.90 83.30 \n", - " \n", - " [10 rows x 23 columns]\n" - ] - }, - { - "data": { - "text/html": [ - "
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idCountryYearDiseaseNameDiseaseCategoryPrevalenceRateIncidenceRateMortalityRateAgeGroupGender...HospitalBedsPer1000TreatmentTypeAverageTreatmentCostAvailabilityOfVaccinesTreatmentRecoveryRateDALYsImprovementIn5YearsPerCapitaIncomeEducationIndexUrbanizationRate
01Italy2013MalariaRespiratory0.951.558.420-18Male...7.58Medication21064.0No91.824493.02.1616886.00.7986.02
12France2002EbolaParasitic12.468.638.7561+Male...5.11Surgery47851.0Yes76.652366.04.8280639.00.7445.52
23Turkey2015COVID-19Genetic0.912.356.2236-60Male...3.49Vaccination27834.0Yes98.5541.05.8112245.00.4140.20
34Indonesia2011Parkinson's DiseaseAutoimmune4.686.293.990-18Other...8.44Surgery144.0Yes67.353201.02.2249336.00.4958.47
45Italy2013TuberculosisGenetic0.8313.597.0161+Male...5.90Medication8908.0Yes50.062832.06.9347701.00.5048.14
56Saudi Arabia2011DengueBacterial10.996.494.6461+Female...0.62Therapy42671.0Yes93.17416.09.8329597.00.4656.50
67USA2013MalariaCardiovascular18.426.339.3361+Female...3.31Surgery15579.0No92.804535.00.8960027.00.7020.48
78Nigeria2007TuberculosisNeurological3.485.711.210-18Female...3.54Medication15744.0Yes65.454584.09.8123222.00.4666.49
89Italy2000RabiesChronic15.594.746.3819-35Female...5.84Therapy7669.0Yes59.232253.09.9230849.00.5541.27
910Australia2006CholeraChronic10.122.086.0061+Male...6.01Medication9468.0Yes93.214694.02.9668856.00.9083.30
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\n", - "
" - ], - "text/plain": [ - " id Country Year DiseaseName DiseaseCategory \n", - "0 1 Italy 2013 Malaria Respiratory \\\n", - "1 2 France 2002 Ebola Parasitic \n", - "2 3 Turkey 2015 COVID-19 Genetic \n", - "3 4 Indonesia 2011 Parkinson's Disease Autoimmune \n", - "4 5 Italy 2013 Tuberculosis Genetic \n", - "5 6 Saudi Arabia 2011 Dengue Bacterial \n", - "6 7 USA 2013 Malaria Cardiovascular \n", - "7 8 Nigeria 2007 Tuberculosis Neurological \n", - "8 9 Italy 2000 Rabies Chronic \n", - "9 10 Australia 2006 Cholera Chronic \n", - "\n", - " PrevalenceRate IncidenceRate MortalityRate AgeGroup Gender ... \n", - "0 0.95 1.55 8.42 0-18 Male ... \\\n", - "1 12.46 8.63 8.75 61+ Male ... \n", - "2 0.91 2.35 6.22 36-60 Male ... \n", - "3 4.68 6.29 3.99 0-18 Other ... \n", - "4 0.83 13.59 7.01 61+ Male ... \n", - "5 10.99 6.49 4.64 61+ Female ... \n", - "6 18.42 6.33 9.33 61+ Female ... \n", - "7 3.48 5.71 1.21 0-18 Female ... \n", - "8 15.59 4.74 6.38 19-35 Female ... \n", - "9 10.12 2.08 6.00 61+ Male ... \n", - "\n", - " HospitalBedsPer1000 TreatmentType AverageTreatmentCost \n", - "0 7.58 Medication 21064.0 \\\n", - "1 5.11 Surgery 47851.0 \n", - "2 3.49 Vaccination 27834.0 \n", - "3 8.44 Surgery 144.0 \n", - "4 5.90 Medication 8908.0 \n", - "5 0.62 Therapy 42671.0 \n", - "6 3.31 Surgery 15579.0 \n", - "7 3.54 Medication 15744.0 \n", - "8 5.84 Therapy 7669.0 \n", - "9 6.01 Medication 9468.0 \n", - "\n", - " AvailabilityOfVaccinesTreatment RecoveryRate DALYs ImprovementIn5Years \n", - "0 No 91.82 4493.0 2.16 \\\n", - "1 Yes 76.65 2366.0 4.82 \n", - "2 Yes 98.55 41.0 5.81 \n", - "3 Yes 67.35 3201.0 2.22 \n", - "4 Yes 50.06 2832.0 6.93 \n", - "5 Yes 93.17 416.0 9.83 \n", - "6 No 92.80 4535.0 0.89 \n", - "7 Yes 65.45 4584.0 9.81 \n", - "8 Yes 59.23 2253.0 9.92 \n", - "9 Yes 93.21 4694.0 2.96 \n", - "\n", - " PerCapitaIncome EducationIndex UrbanizationRate \n", - "0 16886.0 0.79 86.02 \n", - "1 80639.0 0.74 45.52 \n", - "2 12245.0 0.41 40.20 \n", - "3 49336.0 0.49 58.47 \n", - "4 47701.0 0.50 48.14 \n", - "5 29597.0 0.46 56.50 \n", - "6 60027.0 0.70 20.48 \n", - "7 23222.0 0.46 66.49 \n", - "8 30849.0 0.55 41.27 \n", - "9 68856.0 0.90 83.30 \n", - "\n", - "[10 rows x 23 columns]" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Example query\n", - "query = \"SELECT * FROM HealthStatistics LIMIT 10;\"\n", + " Returns True if mysql_type starts with \n", + " int, decimal, float, or double (case-insensitive)\n", + " \"\"\"\n", + " return bool(re.match(r\"^(int|decimal|float|double)\", mysql_type.lower()))\n", + "\n", + "\n", "\n", - "# Execute the query and load the data into a DataFrame\n", - "df = pd.read_sql(query, connection)\n", "\n", - "# Display the DataFrame\n", - "ic(df)\n", "\n" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - " id Country Year DiseaseName DiseaseCategory PrevalenceRate \\\n", - "0 105 Australia 2020 Malaria Genetic 12.89 \n", - "1 486 Nigeria 2020 Malaria Bacterial 18.91 \n", - "2 1200 China 2020 Malaria Neurological 7.81 \n", - "3 1325 Argentina 2020 Malaria Autoimmune 2.21 \n", - "4 1544 Australia 2020 Malaria Metabolic 1.60 \n", - ".. ... ... ... ... ... ... \n", - "196 99253 South Africa 2020 Malaria Respiratory 9.22 \n", - "197 99350 Turkey 2020 Malaria Bacterial 7.57 \n", - "198 99402 India 2020 Malaria Metabolic 13.16 \n", - "199 99406 Mexico 2020 Malaria Genetic 1.28 \n", - "200 99475 Indonesia 2020 Malaria Metabolic 15.20 \n", + "Descriptive Statistics DataFrame:\n", "\n", - " IncidenceRate MortalityRate AgeGroup Gender ... HospitalBedsPer1000 \\\n", - "0 12.34 1.52 36-60 Other ... 5.35 \n", - "1 13.31 1.37 61+ Female ... 7.57 \n", - "2 2.24 8.67 61+ Female ... 2.86 \n", - "3 10.05 7.41 19-35 Other ... 2.04 \n", - "4 0.84 5.24 19-35 Male ... 7.22 \n", - ".. ... ... ... ... ... ... \n", - "196 13.76 9.81 19-35 Male ... 5.95 \n", - "197 10.89 6.23 0-18 Other ... 9.79 \n", - "198 4.00 6.32 61+ Other ... 9.47 \n", - "199 13.18 1.02 61+ Other ... 9.76 \n", - "200 3.84 0.54 36-60 Female ... 7.74 \n", + " id \\\n", + "Statistic \n", + "count 1000002 \n", + "mean 639814.551443 \n", + "median 624279.5 \n", + "std 377575.482077 \n", + "variance 142563244665.866272 \n", + "range 1279629.0 \n", + "min 1.0 \n", + "max 1279630.0 \n", + "mode 1.0 \n", + "iqr 655350.0 \n", + "quartiles (312139.25, 624279.5, 967489.75) \n", + "percentiles {'5th': 50001.05, '95th': 1229629.95} \n", + "mad 485812.42325 \n", + "skewness 0.000003 \n", + "kurtosis -1.210015 \n", + "cv 0.590133 \n", + "standard_error 377.575105 \n", + "confidence_interval (639074.5169409028, 640554.5859448913) \n", "\n", - " TreatmentType AverageTreatmentCost AvailabilityOfVaccinesTreatment \\\n", - "0 Medication 9153.0 Yes \n", - "1 Vaccination 40849.0 No \n", - "2 Surgery 29742.0 No \n", - "3 Medication 25557.0 No \n", - "4 Vaccination 14504.0 Yes \n", - ".. ... ... ... \n", - "196 Surgery 13942.0 No \n", - "197 Therapy 18890.0 Yes \n", - "198 Therapy 22365.0 Yes \n", - "199 Surgery 22522.0 Yes \n", - "200 Therapy 27101.0 No \n", + " PrevalenceRate \\\n", + "Statistic \n", + "count 1000000 \n", + "mean 10.047992 \n", + "median 10.04 \n", + "std 5.740189 \n", + "variance 32.949774 \n", + "range 19.9 \n", + "min 0.1 \n", + "max 20.0 \n", + "mode 15.87 \n", + "iqr 9.92 \n", + "quartiles (5.09, 10.04, 15.01) \n", + "percentiles {'5th': 1.1, '95th': 19.0} \n", + "mad 7.353707 \n", + "skewness 0.000931 \n", + "kurtosis -1.198858 \n", + "cv 0.571277 \n", + "standard_error 0.00574 \n", + "confidence_interval (10.036741282001856, 10.059242437998144) \n", "\n", - " RecoveryRate DALYs ImprovementIn5Years PerCapitaIncome EducationIndex \\\n", - "0 85.70 3411.0 1.03 13201.0 0.62 \n", - "1 56.59 4604.0 0.13 35250.0 0.89 \n", - "2 55.98 1288.0 8.50 5954.0 0.83 \n", - "3 77.72 4074.0 7.04 99936.0 0.54 \n", - "4 67.36 391.0 9.61 24293.0 0.81 \n", - ".. ... ... ... ... ... \n", - "196 97.84 2531.0 6.81 84482.0 0.67 \n", - "197 67.85 4101.0 4.88 39904.0 0.59 \n", - "198 81.07 105.0 6.68 67995.0 0.67 \n", - "199 65.91 4689.0 0.86 31437.0 0.44 \n", - "200 78.98 4520.0 0.86 59791.0 0.74 \n", + " IncidenceRate \\\n", + "Statistic \n", + "count 1000000 \n", + "mean 7.555005 \n", + "median 7.55 \n", + "std 4.298947 \n", + "variance 18.480943 \n", + "range 14.9 \n", + "min 0.1 \n", + "max 15.0 \n", + "mode 5.28 \n", + "iqr 7.44 \n", + "quartiles (3.84, 7.55, 11.28) \n", + "percentiles {'5th': 0.85, '95th': 14.25} \n", + "mad 5.51528 \n", + "skewness -0.000185 \n", + "kurtosis -1.198913 \n", + "cv 0.56902 \n", + "standard_error 0.004299 \n", + "confidence_interval (7.546579609033449, 7.563431190966549) \n", "\n", - " UrbanizationRate \n", - "0 34.93 \n", - "1 35.01 \n", - "2 85.54 \n", - "3 31.58 \n", - "4 41.08 \n", - ".. ... \n", - "196 46.73 \n", - "197 21.95 \n", - "198 38.27 \n", - "199 54.71 \n", - "200 89.86 \n", + " MortalityRate \\\n", + "Statistic \n", + "count 1000000 \n", + "mean 5.049919 \n", + "median 5.05 \n", + "std 2.859427 \n", + "variance 8.17632 \n", + "range 9.9 \n", + "min 0.1 \n", + "max 10.0 \n", + "mode 6.54 \n", + "iqr 4.95 \n", + "quartiles (2.58, 5.05, 7.53) \n", + "percentiles {'5th': 0.59, '95th': 9.51} \n", + "mad 3.676854 \n", + "skewness 0.000879 \n", + "kurtosis -1.200907 \n", + "cv 0.566232 \n", + "standard_error 0.002859 \n", + "confidence_interval (5.044314480202827, 5.055523239797171) \n", "\n", - "[201 rows x 23 columns]\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1969881993.py:6: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_filtered = pd.read_sql(query, connection)\n" + " HealthcareAccess \\\n", + "Statistic \n", + "count 1000000 \n", + "mean 74.987835 \n", + "median 75.0 \n", + "std 14.436345 \n", + "variance 208.408062 \n", + "range 50.0 \n", + "min 50.0 \n", + "max 100.0 \n", + "mode 59.01 \n", + "iqr 25.02 \n", + "quartiles (62.47, 75.0, 87.49) \n", + "percentiles {'5th': 52.48, '95th': 97.49} \n", + "mad 18.547354 \n", + "skewness -0.00036 \n", + "kurtosis -1.200802 \n", + "cv 0.192516 \n", + "standard_error 0.014436 \n", + "confidence_interval (74.95954052911466, 75.01613003088539) \n", + "\n", + " DoctorsPer1000 \\\n", + "Statistic \n", + "count 1000000 \n", + "mean 2.747929 \n", + "median 2.75 \n", + "std 1.299067 \n", + "variance 1.687574 \n", + "range 4.5 \n", + "min 0.5 \n", + "max 5.0 \n", + "mode 2.47 \n", + "iqr 2.25 \n", + "quartiles (1.62, 2.75, 3.87) \n", + "percentiles {'5th': 0.72, '95th': 4.77} \n", + "mad 1.660514 \n", + "skewness 0.002222 \n", + "kurtosis -1.199245 \n", + "cv 0.472744 \n", + "standard_error 0.001299 \n", + "confidence_interval (2.745383093223196, 2.7504753467768057) \n", + "\n", + " HospitalBedsPer1000 \\\n", + "Statistic \n", + "count 1000000 \n", + "mean 5.245931 \n", + "median 5.24 \n", + "std 2.742865 \n", + "variance 7.523309 \n", + "range 9.5 \n", + "min 0.5 \n", + "max 10.0 \n", + "mode 7.22 \n", + "iqr 4.75 \n", + "quartiles (2.87, 5.24, 7.62) \n", + "percentiles {'5th': 0.97, '95th': 9.52} \n", + "mad 3.513767 \n", + "skewness 0.001393 \n", + "kurtosis -1.199524 \n", + "cv 0.522856 \n", + "standard_error 0.002743 \n", + "confidence_interval (5.24055500659994, 5.251306853400064) \n", + "\n", + " AverageTreatmentCost \\\n", + "Statistic \n", + "count 1000000 \n", + "mean 25010.313665 \n", + "median 24980.0 \n", + "std 14402.279227 \n", + "variance 207425646.935116 \n", + "range 49900.0 \n", + "min 100.0 \n", + "max 50000.0 \n", + "mode 11248.0 \n", + "iqr 24955.0 \n", + "quartiles (12538.0, 24980.0, 37493.0) \n", + "percentiles {'5th': 2593.0, '95th': 47477.0} \n", + "mad 18498.42788 \n", + "skewness 0.002935 \n", + "kurtosis -1.200232 \n", + "cv 0.575854 \n", + "standard_error 14.402279 \n", + "confidence_interval (24982.085682253426, 25038.541647746577) \n", + "\n", + " RecoveryRate \\\n", + "Statistic \n", + "count 1000000 \n", + "mean 74.496934 \n", + "median 74.47 \n", + "std 14.155168 \n", + "variance 200.368785 \n", + "range 49.0 \n", + "min 50.0 \n", + "max 99.0 \n", + "mode 60.78 \n", + "iqr 24.56 \n", + "quartiles (62.22, 74.47, 86.78) \n", + "percentiles {'5th': 52.45, '95th': 96.56} \n", + "mad 18.206355 \n", + "skewness 0.000639 \n", + "kurtosis -1.202015 \n", + "cv 0.19001 \n", + "standard_error 0.014155 \n", + "confidence_interval (74.46919013664996, 74.52467744334999) \n", + "\n", + " DALYs \\\n", + "Statistic \n", + "count 1000000 \n", + "mean 2499.144809 \n", + "median 2499.0 \n", + "std 1443.923798 \n", + "variance 2084915.933175 \n", + "range 4999.0 \n", + "min 1.0 \n", + "max 5000.0 \n", + "mode 4815.0 \n", + "iqr 2505.0 \n", + "quartiles (1245.0, 2499.0, 3750.0) \n", + "percentiles {'5th': 250.0, '95th': 4751.0} \n", + "mad 1856.217978 \n", + "skewness 0.00133 \n", + "kurtosis -1.201265 \n", + "cv 0.577767 \n", + "standard_error 1.443924 \n", + "confidence_interval (2496.3147669349655, 2501.9748510650343) \n", + "\n", + " ImprovementIn5Years \\\n", + "Statistic \n", + "count 1000000 \n", + "mean 5.002593 \n", + "median 5.0 \n", + "std 2.888298 \n", + "variance 8.342267 \n", + "range 10.0 \n", + "min 0.0 \n", + "max 10.0 \n", + "mode 6.75 \n", + "iqr 5.01 \n", + "quartiles (2.5, 5.0, 7.51) \n", + "percentiles {'5th': 0.5, '95th': 9.5} \n", + "mad 3.706506 \n", + "skewness -0.000645 \n", + "kurtosis -1.201894 \n", + "cv 0.57736 \n", + "standard_error 0.002888 \n", + "confidence_interval (4.9969317024391335, 5.008253637560862) \n", + "\n", + " PerCapitaIncome \\\n", + "Statistic \n", + "count 1000000 \n", + "mean 50311.099835 \n", + "median 50372.0 \n", + "std 28726.959359 \n", + "variance 825238194.00811 \n", + "range 99500.0 \n", + "min 500.0 \n", + "max 100000.0 \n", + "mode 50248.0 \n", + "iqr 49738.0 \n", + "quartiles (25457.0, 50372.0, 75195.0) \n", + "percentiles {'5th': 5485.0, '95th': 95058.04999999993} \n", + "mad 36867.869368 \n", + "skewness -0.002948 \n", + "kurtosis -1.199428 \n", + "cv 0.570987 \n", + "standard_error 28.726959 \n", + "confidence_interval (50254.795961122916, 50367.403708877086) \n", + "\n", + " EducationIndex \\\n", + "Statistic \n", + "count 1000000 \n", + "mean 0.650069 \n", + "median 0.65 \n", + "std 0.144472 \n", + "variance 0.020872 \n", + "range 0.5 \n", + "min 0.4 \n", + "max 0.9 \n", + "mode 0.67 \n", + "iqr 0.25 \n", + "quartiles (0.53, 0.65, 0.78) \n", + "percentiles {'5th': 0.42, '95th': 0.88} \n", + "mad 0.192738 \n", + "skewness -0.000479 \n", + "kurtosis -1.198807 \n", + "cv 0.222242 \n", + "standard_error 0.000144 \n", + "confidence_interval (0.6497854292976661, 0.650351750702334) \n", + "\n", + " UrbanizationRate \n", + "Statistic \n", + "count 1000000 \n", + "mean 54.985212 \n", + "median 54.98 \n", + "std 20.214042 \n", + "variance 408.607497 \n", + "range 70.0 \n", + "min 20.0 \n", + "max 90.0 \n", + "mode 21.79 \n", + "iqr 35.04 \n", + "quartiles (37.47, 54.98, 72.51) \n", + "percentiles {'5th': 23.5, '95th': 86.51} \n", + "mad 25.975191 \n", + "skewness 0.001612 \n", + "kurtosis -1.200353 \n", + "cv 0.367627 \n", + "standard_error 0.020214 \n", + "confidence_interval (54.94559350758029, 55.024831192419676) \n", + "\n", + "Distinct categorical values for DiseaseCategory:\n", + "('Respiratory', 90588)\n", + "('Parasitic', 91178)\n", + "('Genetic', 91153)\n", + "('Autoimmune', 91153)\n", + "('Bacterial', 90509)\n", + "('Cardiovascular', 90968)\n", + "('Neurological', 91000)\n", + "('Chronic', 90445)\n", + "('Metabolic', 91332)\n", + "('Infectious', 90764)\n", + "('Viral', 90910)\n", + "(None, 2)\n", + "\n", + "Null values per column:\n", + "{'id': Decimal('0'), 'Country': Decimal('0'), 'Year': Decimal('0'), 'DiseaseName': Decimal('2'), 'DiseaseCategory': Decimal('2'), 'PrevalenceRate': Decimal('2'), 'IncidenceRate': Decimal('2'), 'MortalityRate': Decimal('2'), 'AgeGroup': Decimal('2'), 'Gender': Decimal('2'), 'PopulationAffected': Decimal('2'), 'HealthcareAccess': Decimal('2'), 'DoctorsPer1000': Decimal('2'), 'HospitalBedsPer1000': Decimal('2'), 'TreatmentType': Decimal('2'), 'AverageTreatmentCost': Decimal('2'), 'AvailabilityOfVaccinesTreatment': Decimal('2'), 'RecoveryRate': Decimal('2'), 'DALYs': Decimal('2'), 'ImprovementIn5Years': Decimal('2'), 'PerCapitaIncome': Decimal('2'), 'EducationIndex': Decimal('2'), 'UrbanizationRate': Decimal('2')}\n", + "Descriptive Statistics Done\n" ] } ], "source": [ - "query = \"\"\"\n", - "SELECT *\n", - "FROM HealthStatistics\n", - "WHERE Year = 2020 AND DiseaseName = 'Malaria';\n", - "\"\"\"\n", - "df_filtered = pd.read_sql(query, connection)\n", - "print(df_filtered)\n" + "try:\n", + "\n", + " # Get column names and data types dynamically\n", + " cursor.execute(\"SHOW COLUMNS FROM HealthStatistics\")\n", + " columns = cursor.fetchall()\n", + "\n", + " # Filter numerical columns\n", + " numerical_columns = [col[0] for col in columns if is_numeric_mysql_type(col[1])]\n", + "\n", + " # Build a query to fetch all numeric columns at once\n", + " stats_query = f\"SELECT {', '.join(numerical_columns)} FROM HealthStatistics\"\n", + " cursor.execute(stats_query)\n", + " all_rows = cursor.fetchall()\n", + "\n", + " # Convert query results into a dictionary {col_name: [list_of_values]}\n", + " data_dict = {col: [] for col in numerical_columns}\n", + " for row in all_rows:\n", + " for col, val in zip(numerical_columns, row):\n", + " data_dict[col].append(val)\n", + "\n", + " # Calculate stats for each numeric column and store them in a dictionary\n", + " # keyed by column name.\n", + " all_stats = {}\n", + " for col in numerical_columns:\n", + " col_data = data_dict[col]\n", + " stats_dict = descriptive_statistics(col_data, alpha=0.05)\n", + " all_stats[col] = stats_dict\n", + "\n", + " # Convert 'all_stats' into a DataFrame\n", + " # Rows = statistics (count, mean, median, etc.)\n", + " # Columns = numeric column names\n", + " df_stats = pd.DataFrame(all_stats)\n", + "\n", + " # rename the index for clarity\n", + " df_stats.index.name = 'Statistic'\n", + "\n", + " print(\"Descriptive Statistics DataFrame:\\n\")\n", + " print(df_stats)\n", + "\n", + " # Count distinct categorical values\n", + " query_2 = \"\"\"\n", + " SELECT DiseaseCategory, COUNT(*) AS CountPerCategory\n", + " FROM HealthStatistics\n", + " GROUP BY DiseaseCategory;\n", + " \"\"\"\n", + " cursor.execute(query_2)\n", + " result_2 = cursor.fetchall()\n", + " print(\"\\nDistinct categorical values for DiseaseCategory:\")\n", + " for row in result_2:\n", + " print(row)\n", + " \n", + " \n", + " # Check null values in each column\n", + " \n", + " cursor.execute(\"SHOW COLUMNS FROM HealthStatistics\")\n", + " columns = cursor.fetchall()\n", + " \n", + " null_queries = []\n", + " for column in columns:\n", + " col_name = column[0]\n", + " null_queries.append(f\"SUM(CASE WHEN {col_name} IS NULL THEN 1 ELSE 0 END) AS NullCount_{col_name}\")\n", + " \n", + " null_query = f\"SELECT {', '.join(null_queries)} FROM HealthStatistics\"\n", + " cursor.execute(null_query)\n", + " result_3 = cursor.fetchall()\n", + "\n", + " print(\"\\nNull values per column:\")\n", + " for row in result_3:\n", + " print(dict(zip([col[0] for col in columns], row))) \n", + " \n", + "finally:\n", + " # Close the cursor and connection\n", + " # cursor.close()\n", + " # connection.close()\n", + " print(\"Descriptive Statistics Done\")" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 34, "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "Data retrieved successfully!\n", - "\n", - "Top Infectious Diseases by Prevalence:\n", - " Avg_Prevalence Total_Prevalence\n", - "DiseaseName \n", - "COVID-19 10.374332 4502.46\n", - "Parkinson's Disease 10.153948 4680.97\n", - "Dengue 10.132601 4519.14\n", - "Tuberculosis 10.105828 4699.21\n", - "Cholera 10.101814 4343.78\n", - "Diabetes 10.091485 4823.73\n", - "Influenza 10.083030 4991.10\n", - "Ebola 10.028004 5224.59\n", - "Zika 9.962931 4622.80\n", - "Malaria 9.956765 4739.42\n", - "\n", - "Change in Prevalence Rates Over the Last 5 Years:\n", - " Initial_Prevalence Latest_Prevalence \\\n", - "DiseaseName \n", - "Tuberculosis 1.03 19.07 \n", - "Measles 2.01 16.75 \n", - "Leprosy 1.88 16.31 \n", - "Cancer 2.40 12.44 \n", - "HIV/AIDS 7.35 16.87 \n", - "Parkinson's Disease 4.34 13.52 \n", - "Rabies 1.03 10.09 \n", - "COVID-19 0.91 7.73 \n", - "Diabetes 9.08 15.72 \n", - "Influenza 0.19 6.80 \n", - "\n", - " Change_in_Prevalence \n", - "DiseaseName \n", - "Tuberculosis 18.04 \n", - "Measles 14.74 \n", - "Leprosy 14.43 \n", - "Cancer 10.04 \n", - "HIV/AIDS 9.52 \n", - "Parkinson's Disease 9.18 \n", - "Rabies 9.06 \n", - "COVID-19 6.82 \n", - "Diabetes 6.64 \n", - "Influenza 6.61 \n" + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\2789501968.py:25: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df = pd.read_sql(query, connection)\n" ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1322985517.py:25: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df = pd.read_sql(query, connection)\n" + "ename": "AttributeError", + "evalue": "'Connection' object has no attribute 'cursor'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[34], line 25\u001b[0m\n\u001b[0;32m 9\u001b[0m query \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[0;32m 10\u001b[0m \u001b[38;5;124mSELECT\u001b[39m\n\u001b[0;32m 11\u001b[0m \u001b[38;5;124m DiseaseName,\u001b[39m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 21\u001b[0m \u001b[38;5;124m Year DESC;\u001b[39m\n\u001b[0;32m 22\u001b[0m \u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[0;32m 24\u001b[0m \u001b[38;5;66;03m# Execute the query and load the data into a pandas DataFrame\u001b[39;00m\n\u001b[1;32m---> 25\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_sql\u001b[49m\u001b[43m(\u001b[49m\u001b[43mquery\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconnection\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 27\u001b[0m \u001b[38;5;66;03m# Close the database connection\u001b[39;00m\n\u001b[0;32m 28\u001b[0m \u001b[38;5;66;03m# connection.close()\u001b[39;00m\n\u001b[0;32m 29\u001b[0m \n\u001b[0;32m 30\u001b[0m \u001b[38;5;66;03m# Analyze the data\u001b[39;00m\n\u001b[0;32m 31\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mData retrieved successfully!\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pandas\\io\\sql.py:706\u001b[0m, in \u001b[0;36mread_sql\u001b[1;34m(sql, con, index_col, coerce_float, params, parse_dates, columns, chunksize, dtype_backend, dtype)\u001b[0m\n\u001b[0;32m 704\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m pandasSQL_builder(con) \u001b[38;5;28;01mas\u001b[39;00m pandas_sql:\n\u001b[0;32m 705\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(pandas_sql, SQLiteDatabase):\n\u001b[1;32m--> 706\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mpandas_sql\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_query\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 707\u001b[0m \u001b[43m \u001b[49m\u001b[43msql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 708\u001b[0m \u001b[43m \u001b[49m\u001b[43mindex_col\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindex_col\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 709\u001b[0m \u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 710\u001b[0m \u001b[43m \u001b[49m\u001b[43mcoerce_float\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcoerce_float\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 711\u001b[0m \u001b[43m \u001b[49m\u001b[43mparse_dates\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparse_dates\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 712\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunksize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunksize\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 713\u001b[0m \u001b[43m \u001b[49m\u001b[43mdtype_backend\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype_backend\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 714\u001b[0m \u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 715\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 717\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 718\u001b[0m _is_table_name \u001b[38;5;241m=\u001b[39m pandas_sql\u001b[38;5;241m.\u001b[39mhas_table(sql)\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pandas\\io\\sql.py:2738\u001b[0m, in \u001b[0;36mSQLiteDatabase.read_query\u001b[1;34m(self, sql, index_col, coerce_float, parse_dates, params, chunksize, dtype, dtype_backend)\u001b[0m\n\u001b[0;32m 2727\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mread_query\u001b[39m(\n\u001b[0;32m 2728\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m 2729\u001b[0m sql,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 2736\u001b[0m dtype_backend: DtypeBackend \u001b[38;5;241m|\u001b[39m Literal[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnumpy\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnumpy\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 2737\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m DataFrame \u001b[38;5;241m|\u001b[39m Iterator[DataFrame]:\n\u001b[1;32m-> 2738\u001b[0m cursor \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43msql\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2739\u001b[0m columns \u001b[38;5;241m=\u001b[39m [col_desc[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m col_desc \u001b[38;5;129;01min\u001b[39;00m cursor\u001b[38;5;241m.\u001b[39mdescription]\n\u001b[0;32m 2741\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pandas\\io\\sql.py:2672\u001b[0m, in \u001b[0;36mSQLiteDatabase.execute\u001b[1;34m(self, sql, params)\u001b[0m\n\u001b[0;32m 2670\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mQuery must be a string unless using sqlalchemy.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 2671\u001b[0m args \u001b[38;5;241m=\u001b[39m [] \u001b[38;5;28;01mif\u001b[39;00m params \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m [params]\n\u001b[1;32m-> 2672\u001b[0m cur \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcon\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcursor\u001b[49m()\n\u001b[0;32m 2673\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 2674\u001b[0m cur\u001b[38;5;241m.\u001b[39mexecute(sql, \u001b[38;5;241m*\u001b[39margs)\n", + "\u001b[1;31mAttributeError\u001b[0m: 'Connection' object has no attribute 'cursor'" ] } ], @@ -1064,52 +1020,51 @@ "print(highest_prevalence.head(10))\n", "\n", "print(\"\\nChange in Prevalence Rates Over the Last 5 Years:\")\n", - "print(prevalence_change.head(10))\n", - "\n", - "\n", - "# # Select the top 10 diseases by prevalence\n", - "# top_diseases = highest_prevalence[\"DiseaseName\"].head(10)\n", - "\n", - "# # Filter the dataframe for those diseases\n", - "# top_diseases_df = df[df[\"DiseaseName\"].isin(top_diseases)].copy()\n", - "\n", - "# # Sort by Year to ensure the lines are plotted in chronological order\n", - "# top_diseases_df.sort_values(by=[\"DiseaseName\", \"Year\"], inplace=True)\n", - "\n", - "# # Create a line plot\n", - "# plt.figure(figsize=(10, 6))\n", - "# sns.lineplot(\n", - "# data=top_diseases_df, \n", - "# x=\"Year\", \n", - "# y=\"PrevalenceRate\", \n", - "# hue=\"DiseaseName\", \n", - "# marker=\"o\"\n", - "# )\n", - "\n", - "# plt.title(\"Prevalence Rates Over the Years for Top Infectious Diseases\")\n", - "# plt.xlabel(\"Year\")\n", - "# plt.ylabel(\"Prevalence Rate\")\n", - "# plt.legend(title=\"Disease Name\", bbox_to_anchor=(1.05, 1), loc=\"upper left\")\n", - "# plt.tight_layout()\n", - "# plt.show()" + "print(prevalence_change.head(10))\n" ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 13, "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\2576139669.py:18: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_question1 = pd.read_sql(query_1, connection)\n" + "\n", + "Top Infectious Diseases by Prevalence:\n", + " Avg_Prevalence Total_Prevalence\n", + "DiseaseName \n", + "Polio 10.353267 9887.37\n", + "Cholera 10.181133 9163.02\n", + "Malaria 10.179411 8988.42\n", + "Influenza 10.162589 9735.76\n", + "Diabetes 10.104290 9679.91\n", + "Dengue 10.081632 9325.51\n", + "Zika 10.076147 9048.38\n", + "Measles 10.069806 9334.71\n", + "COVID-19 10.032143 9410.15\n", + "Leprosy 9.997762 8888.01\n", + "\n", + "Change in Prevalence Rates Over the Last 5 Years:\n", + " Initial_Prevalence Latest_Prevalence Change_in_Prevalence\n", + "DiseaseName \n", + "Leprosy 0.48 11.63 11.15\n", + "Measles 11.20 19.72 8.52\n", + "Ebola 7.06 15.11 8.05\n", + "Diabetes 10.25 15.46 5.21\n", + "Dengue 3.66 8.84 5.18\n", + "Cancer 0.37 3.83 3.46\n", + "Asthma 15.85 18.81 2.96\n", + "Malaria 5.13 6.27 1.14\n", + "Tuberculosis 17.66 18.58 0.92\n", + "Rabies 19.50 17.98 -1.52\n" ] }, { "data": { - "image/png": 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" ] @@ -1120,51 +1075,96 @@ ], "source": [ "# Question 1:\n", - "# Which infectious diseases have the highest prevalence rates globally, \n", - "# and how have these rates changed over the past 5 years?\n", + "# Which infectious diseases have the highest prevalence rates globally, and how have these rates changed over the past 5 years?\n", "\n", - "query_1 = \"\"\"\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# SQL query to fetch data\n", + "query = \"\"\"\n", "SELECT\n", " DiseaseName,\n", + " DiseaseCategory,\n", " Year,\n", - " AVG(PrevalenceRate) AS AvgPrevalence\n", + " PrevalenceRate\n", "FROM HealthStatistics\n", "WHERE\n", " DiseaseCategory = 'Infectious'\n", " AND Year BETWEEN 2020 AND 2024\n", - "GROUP BY\n", - " DiseaseName,\n", - " Year\n", + "ORDER BY\n", + " Year DESC;\n", "\"\"\"\n", - "df_question1 = pd.read_sql(query_1, connection)\n", "\n", - "df_question1_sorted = df_question1.sort_values(by='Year')\n", + "# Execute the query and load the data into a pandas DataFrame\n", + "df_question1 = pd.read_sql(query, engine)\n", + "\n", + "# Analyze the data\n", + "# Step 1: Group data to find the highest average prevalence rates globally\n", + "highest_prevalence = (\n", + " df_question1.groupby(\"DiseaseName\")\n", + " .agg(\n", + " Avg_Prevalence=(\"PrevalenceRate\", \"mean\"),\n", + " Total_Prevalence=(\"PrevalenceRate\", \"sum\")\n", + " )\n", + " .sort_values(by=\"Avg_Prevalence\", ascending=False)\n", + ")\n", + "\n", + "# Step 2: Analyze the change in prevalence rates over the last 5 years\n", + "recent_years = df_question1[df_question1['Year'] >= df_question1['Year'].max() - 5]\n", + "\n", + "prevalence_change = (\n", + " recent_years.groupby(\"DiseaseName\")\n", + " .agg(\n", + " Initial_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[0]),\n", + " Latest_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[-1])\n", + " )\n", + " .assign(Change_in_Prevalence=lambda x: x[\"Latest_Prevalence\"] - x[\"Initial_Prevalence\"])\n", + " .sort_values(by=\"Change_in_Prevalence\", ascending=False)\n", + ")\n", + "\n", + "# Step 3: Merge both results\n", + "result = highest_prevalence.merge(prevalence_change, on=\"DiseaseName\", how=\"inner\")\n", + "\n", + "# Display results\n", + "print(\"\\nTop Infectious Diseases by Prevalence:\")\n", + "print(highest_prevalence.head(10))\n", + "\n", + "print(\"\\nChange in Prevalence Rates Over the Last 5 Years:\")\n", + "print(prevalence_change.head(10))\n", "\n", - "# Select top 5 diseases by unique disease names \n", - "top_diseases = df_question1_sorted['DiseaseName'].unique()[:5]\n", + "# Step 4: Sort data by year\n", + "df_question1_sorted = df_question1.sort_values(by='Year')\n", "\n", + "# Step 5: Select top 5 diseases by highest average prevalence rates\n", + "top_diseases = highest_prevalence.head(5).index\n", "\n", "# Filter data for the top 5 diseases\n", "top_diseases_data = df_question1_sorted[df_question1_sorted['DiseaseName'].isin(top_diseases)]\n", "\n", - "# et a seaborn style\n", - "sns.set_theme(style=\"whitegrid\")\n", + "# Aggregate data by DiseaseName and Year\n", + "aggregated_data = (\n", + " top_diseases_data.groupby(['DiseaseName', 'Year'])\n", + " .agg({'PrevalenceRate': 'mean'})\n", + " .reset_index()\n", + ")\n", "\n", - "# Create a refined graph\n", + "# Plot the aggregated data\n", + "sns.set_theme(style=\"whitegrid\")\n", "plt.figure(figsize=(12, 7))\n", - "palette = sns.color_palette(\"husl\", len(top_diseases)) # Use a colorful palette\n", + "palette = sns.color_palette(\"husl\", len(top_diseases)) # colorful theme\n", "\n", - "for i, (disease, group) in enumerate(top_diseases_data.groupby('DiseaseName')):\n", - " plt.plot(group['Year'], group['AvgPrevalence'], \n", + "for i, (disease, group) in enumerate(aggregated_data.groupby('DiseaseName')):\n", + " plt.plot(group['Year'], group['PrevalenceRate'], \n", " marker='o', label=disease, color=palette[i], linewidth=2.5)\n", "\n", "# Add labels and title\n", - "plt.title('AvgPrevalence per Year for Top 5 Diseases', fontsize=16, weight='bold')\n", + "plt.title('Prevalence Rate per Year for Top 5 Diseases', fontsize=16, weight='bold')\n", "plt.xlabel('Year', fontsize=14)\n", - "plt.ylabel('AvgPrevalence', fontsize=14)\n", - "plt.xticks(sorted(df_question1_sorted['Year'].unique()), fontsize=12, rotation=45)\n", + "plt.ylabel('Prevalence Rate', fontsize=14)\n", + "plt.xticks(sorted(aggregated_data['Year'].unique()), fontsize=12, rotation=45)\n", "plt.yticks(fontsize=12)\n", - "plt.legend(title=\"DiseaseName\", fontsize=12, title_fontsize=14)\n", + "plt.legend(title=\"Disease Name\", fontsize=12, title_fontsize=14)\n", "plt.grid(True, which='major', linestyle='--', linewidth=0.5, alpha=0.7)\n", "plt.tight_layout()\n", "plt.show()" @@ -1172,28 +1172,20 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 38, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1944517882.py:25: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " return pd.read_sql(query, connection, params=params)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", - " grouped_vals = vals.groupby(grouper)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", - " grouped_vals = vals.groupby(grouper)\n" + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\2700701903.py:43: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " return pd.read_sql(query, connection, params=params)\n" ] }, { "data": { - "image/png": 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", "text/plain": [ "
" ] @@ -1275,14 +1267,14 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1639260823.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\1639260823.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", " df_question3 = pd.read_sql(query_3, connection)\n" ] }, @@ -1291,27 +1283,27 @@ "output_type": "stream", "text": [ " DiseaseName AvgHealthcareAccess AvgDoctorsPer1000 \\\n", - "0 Malaria 74.786759 2.732954 \n", - "1 Ebola 74.704818 2.778387 \n", - "2 COVID-19 74.702642 2.706471 \n", - "3 Parkinson's Disease 74.792696 2.742936 \n", - "4 Tuberculosis 74.985969 2.764276 \n", + "0 None NaN NaN \n", + "1 Alzheimer's Disease 74.941119 2.747002 \n", + "2 Asthma 75.000866 2.746590 \n", + "3 Cancer 75.012566 2.744735 \n", + "4 Cholera 74.963712 2.742675 \n", "\n", " AvgRecoveryRate \n", - "0 74.801839 \n", - "1 74.398003 \n", - "2 74.255789 \n", - "3 74.335690 \n", - "4 74.538776 \n", + "0 NaN \n", + "1 74.538244 \n", + "2 74.452923 \n", + "3 74.446244 \n", + "4 74.562658 \n", " AvgHealthcareAccess AvgDoctorsPer1000 AvgRecoveryRate\n", - "AvgHealthcareAccess 1.000000 -0.087803 0.336193\n", - "AvgDoctorsPer1000 -0.087803 1.000000 -0.058986\n", - "AvgRecoveryRate 0.336193 -0.058986 1.000000\n" + "AvgHealthcareAccess 1.000000 -0.254349 -0.419404\n", + "AvgDoctorsPer1000 -0.254349 1.000000 -0.192732\n", + "AvgRecoveryRate -0.419404 -0.192732 1.000000\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -1323,33 +1315,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n", + "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\axisgrid.py:123: UserWarning: The figure layout has changed to tight\n", " self._figure.tight_layout(*args, **kwargs)\n" ] }, { "data": { - "image/png": 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", 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eNp/d3e9n2rRpTCAQVFqXLeu98cYbzNPTk129etXm+RdffJEJhUKWkpLCGGPs6aefZkqlkhmNxirL3qlTJzZ8+PB7vkd7NWvWrNrtrVixggFgv/zyC2OMsW3btjEA7M0337RZb/z48YzjOHb9+nXGmP3HQ1X1/ZlnnmEAbL7n4uJiFhMTw6Kjo63btNTH2NjYCseWsz+ryo7dIUOGsNjYWJtlzZo1YwDY3r17rctycnKYVCplzz77rHWZ5T0eOXLEZj1vb28GgN28ebPa8ljq5pUrV1hubi5LTk5m33zzDfPw8GCBgYGstLSUMebYedCe49ne7+aLL76o9JzYtm1b9sADD1j/trd+WH4TlUoly8nJsVn3jz/+YADYb7/9ZrO8Y8eOlR5fdwPAHnvsMZabm8tycnLY8ePH2YMPPsgAsPfee89mXXvPYcOHD2fNmjWrsK4zzmHEFnVfqYWBAwciMDAQkZGRGD9+PDw9PbF9+3ZEREQAAAoKCvD3339j4sSJKC4uRl5eHvLy8pCfn48hQ4bg2rVr1WZrKd/KUFpairy8PCQkJIAxhlOnTjlcXpPJhD///BOjR49GbGysdXloaCimTJmC/fv3Q61W27xmzpw5Nt1J+vTpA5PJhFu3bgGAtWXzv//9b6Uto+VNmjTJpsXD0gp848aNe5a9V69eiI+Pt/4dFRWFUaNG4Y8//rDeavPx8cGRI0eQkZFxz+1V5tNPP8XOnTuxc+dOrFu3Dv3798fjjz9u0+q/adMmeHt7Y9CgQdbvMy8vD/Hx8VAoFNi9e/c999OnTx9kZ2fjypUrAMwt4n379kWfPn2wb98+AObWc8aY9TM6ffo0rl27hilTpiA/P9+639LSUgwYMAB79+4Fz/NgjOHnn3/GyJEjwRizKeOQIUOgUqkqdOeZOXOmTauqI9/L3Z9b+UfHjh1t1tuyZQt4nsfEiRNtyhUSEoIWLVrYfHbOPvbLe+KJJ2z+7tOnD/Lz863H/rZt28DzPJYsWVKhL2/5ulC+jJb63adPH2g0Gly+fNnmdVKpFDNnzrRZtmnTJrRp0watW7e2+TweeOABALDrWFq/fj2GDx8OLy8vAECLFi0QHx9v04UlNzcXe/fuxaxZsxAVFVXp++F5Htu2bcPIkSNtxlXcvd6mTZvQp08f+Pr62pR54MCBMJlM1i5lPj4+KC0trbZ7hY+PDy5cuIBr167d8306g6V1r7i4GIB5gLxQKLTesbJ49tlnwRizZl6y93ioyq+//oru3bujd+/eNmWZM2cOkpOTcfHiRZv1p0+fXqGF2dmfVfntW+50JSYm4saNG1CpVDbrtm3b1uaOXWBgIFq1amVzfvj111/Rs2dPm37fgYGBDrfqtmrVCoGBgYiOjsasWbPQvHlz/Pbbb9bxF/aeB+09nu39bsaOHQuRSGS9QwwA58+fx8WLFzFp0iTrMnvrh8W4ceMQGBhos2zgwIEICwuzqcPnz5/H2bNnK9y1rcrq1asRGBiIoKAgdOvWDX/99Reef/55LFq0yGY9R85hlXHGOYzYou4rtfDpp5+iZcuWUKlU+Oabb7B3715IpVLr89evXwdjDK+88gpeeeWVSreRk5OD8PDwSp9LSUnBkiVLsH37dpv+ygAqnDjtkZubC41Gg1atWlV4rk2bNuB5HqmpqdZbkgAq/IhbgmpLeRITEzFu3Di8/vrrWLFiBfr164fRo0djypQpNp+FPduqTosWLSosa9myJTQaDXJzcxESEoJ3330X06dPR2RkJOLj4zFs2DBMmzbN5gKkOt27d7c5gT/88MPo0qULnnrqKYwYMQISiQTXrl2DSqVCUFBQpdvIycm5534sP3D79u1DREQETp06hTfffBOBgYHWXO779u2DUqlEp06dAMD6Yzx9+vQqt6tSqWAwGFBUVIQvv/wSX375pV1lrM33AlT83Mpvp3y3lmvXroExVul3CcCmC5Ozj/3yqnu/SqUSSUlJEAgEaNu2bbXbuXDhAl5++WX8/fffFS5m7y5jeHh4hQFc165dw6VLlyr8KFvc61i6dOkSTp06hWnTptmMAejXrx8+/fRTqNVqKJVKa/BUXXrK3NxcqNXqe6awvHbtGs6ePXvPMj/55JPYuHEjhg4divDwcAwePBgTJ07Egw8+aF136dKlGDVqFFq2bIn27dvjwQcfxKOPPlrhYs5ZSkpKAMB6AXPr1i2EhYVZ/7Zo06aN9XkAdh8PVbl161aFboF376f85x4TE1NhXWd/VgcOHMCrr76KQ4cOVRhPoVKp4O3tbf377voCmOtM+XpZ1Xus7LemOj///DOUSiVyc3Pxn//8Bzdv3rQJHO09D+r1eruOZ3u/m4CAAAwYMAAbN27EG2+8AcDcdUUkEmHs2LE25bOnflhU9l0LBAJMnToVq1atsg4IX79+PWQymbWbzL2MGjUKTz31FPR6PY4dO4a3334bGo2mwkWlI+ewytT2HEYqoqC8FsoHI6NHj0bv3r0xZcoUXLlyBQqFwjqw41//+leVI56bN29e6XKTyYRBgwahoKAAL7zwAlq3bg1PT0+kp6djxowZtR5AY6/yfdrKY7cHQnEch82bN+Pw4cPYsWMH/vjjD8yaNQsffPABDh8+bG2dsmdbtTVx4kT06dMHW7duxZ9//on33nsPy5cvx5YtWzB06FCHtycQCNC/f3989NFHuHbtGtq1awee5xEUFFTlYLqqTk7lhYWFISYmBnv37kV0dDQYY+jVqxcCAwPx9NNP49atW9i3bx8SEhKsJ1HL9/3ee++hc+fOlW5XoVAgPz8fAPDII49U+cN19w95XX8vFjzPg+M4/Pbbb5Xu03Ks1PWx74z3W1RUhMTERCiVSixduhRxcXGQyWQ4efIkXnjhhQplrKxvLc/z6NChQ5Vp+iIjI6stw7p16wAACxcuxMKFCys8//PPP1dona8tnucxaNAgPP/885U+37JlSwBAUFAQTp8+jT/++AO//fYbfvvtN6xZswbTpk2z9n/v27cvkpKS8Msvv+DPP//E119/jRUrVuDzzz/H448/7tRyA+bWRqDqc667qOxYceZnlZSUhAEDBqB169b48MMPERkZCYlEgl9//RUrVqyocOzW1/kBML9PS/aVkSNHokOHDpg6dSpOnDgBgUBg93mwoKDA6WWbPHkyZs6cidOnT6Nz587YuHEjBgwYYC0vYH/9sKiqz/20adPw3nvvYdu2bXj44YexYcMGjBgxwuZiqToREREYOHAgAGDYsGEICAjAU089hf79+1svIhw9h1WmtucwUhEF5U5iGRXdv39/fPLJJ3jxxRetLbRisdhaQex17tw5XL16Fd999x2mTZtmXV7Z7WB7cxIHBgZCLpdbu02Ud/nyZQgEghpXop49e6Jnz5546623sGHDBkydOhU//vij035cK7tte/XqVcjlcptAODQ0FE8++SSefPJJ5OTkoGvXrnjrrbdqFJQD5jRVwJ1Wtri4OOzatQv333//PQcxVfe99OnTB3v37kVMTAw6d+4MLy8vdOrUCd7e3vj9999x8uRJm9H+lgE6SqWy2mMpMDAQXl5eMJlMDh9zdS0uLg6MMcTExFT4cSrPkWO/MrXN0R0XFwee53Hx4sUqf/j/+ecf5OfnY8uWLejbt691+c2bNx3az5kzZzBgwACHy8wYw4YNG9C/f388+eSTFZ5/4403sH79esycOdN6HrIEpZUJDAyEUqmsdh1LmUtKSuw6tiQSCUaOHImRI0eC53k8+eST+OKLL/DKK69YA2M/Pz/MnDkTM2fORElJCfr27YvXXnvN6UF5SUkJtm7disjISGsraLNmzbBr1y4UFxfbtJZbbts3a9bM+p7vdTwAVR93zZo1q/KcW34/9+Ksz2rHjh3Q6XTYvn27TSt4bboaNGvWrNJzdGXv214KhQKvvvoqZs6ciY0bN2Ly5MkOnQftOZ4d+W5Gjx6NuXPnWruwXL16FYsXL7Z5nSP1ozrt27dHly5dsH79ekRERCAlJQUff/xxjbc3d+5crFixAi+//DLGjBljnT3c3nNYVcd2bc5hpHLUp9yJ+vXrh+7du2PlypXQarUICgpCv3798MUXXyAzM7PC+nenFizP0jpRvjWCMWaTUszC09MTAO4585lQKMTgwYPxyy+/2Ex7nJ2djQ0bNqB3795QKpXVbuNuhYWFFVpMLD9czkyJdOjQIZu+0Kmpqfjll18wePBgCIVCmEymCrfbgoKCEBYWVuNyGAwG/Pnnn5BIJNYf8okTJ8JkMllvYZZnNBptvgNPT88qv5M+ffogOTkZP/30k7U7i0AgQEJCAj788EMYDAabfpzx8fGIi4vD+++/b71AKM9yLAmFQowbNw4///xzpT9I1R1zdW3s2LEQCoV4/fXXKxwzjDFrK78jx35lqvvc7TF69GgIBAIsXbq0QmuRpUyVlVGv1+Ozzz6zez8TJ05Eeno6vvrqqwrPlZWVobS0tMrXHjhwAMnJyZg5cybGjx9f4TFp0iTs3r0bGRkZCAwMRN++ffHNN98gJSWl0vcjEAgwevRo7Nixo9IZWi3rTZw4EYcOHcIff/xRYZ2ioiLrRazlu7QQCATWOzSW+nj3OgqFAs2bN3d6KrWysjI8+uijKCgowEsvvWQNHoYNGwaTyWSTzg4AVqxYAY7jrBfy9hwPQNXH3bBhw3D06FEcOnTIuqy0tBRffvkloqOj7eoW48zPqrJjV6VSYc2aNQ5vy2LYsGE4fPgwjh49al2Wm5tb5R1Fe02dOhURERHWDD72ngftPZ4d+W58fHwwZMgQbNy4ET/++CMkEkmFCcrsrR/2ePTRR/Hnn39i5cqV8Pf3r3HDEmCe/+PZZ5/FpUuX8MsvvwBw7Bzm6elZaXeW2pzDSOWopdzJnnvuOUyYMAHffvstnnjiCXz66afo3bs3OnTogNmzZyM2NhbZ2dk4dOgQ0tLScObMmUq307p1a8TFxeFf//oX0tPToVQq8fPPP1faz9cyAHLBggUYMmQIhEIhJk+eXOl233zzTezcuRO9e/fGk08+CZFIhC+++AI6nQ7vvvuuw+/3u+++w2effYYxY8YgLi4OxcXF+Oqrr6BUKjFs2DCHt1eV9u3bY8iQITYpEQFYW5OLi4sRERGB8ePHo1OnTlAoFNi1axeOHTuGDz74wK59/Pbbb9YWkpycHGzYsAHXrl3Diy++aL1YSUxMxNy5c7Fs2TKcPn0agwcPhlgsxrVr17Bp0yZ89NFHGD9+PADz97Jq1Sq8+eabaN68OYKCgqwDYCwB95UrV/D2229by9C3b1/89ttv1jzuFgKBAF9//TWGDh2Kdu3aYebMmQgPD0d6ejp2794NpVKJHTt2ADCnONy9ezd69OiB2bNno23btigoKMDJkyexa9euOrm1a4+4uDi8+eabWLx4MZKTkzF69Gh4eXnh5s2b2Lp1K+bMmYN//etfDh37lYmPj8euXbvw4YcfWrsKVdZvtCrNmzfHSy+9hDfeeAN9+vTB2LFjIZVKcezYMYSFhWHZsmVISEiAr68vpk+fjgULFoDjOHz//fcO3dJ/9NFHsXHjRjzxxBPYvXs37r//fphMJly+fBkbN27EH3/8UWlffcA8wFMoFGL48OGVPv/QQw/hpZdewo8//ohFixbhP//5D3r37o2uXbtizpw5iImJQXJyMv73v//h9OnTAMwzof75559ITEy0pjfLzMzEpk2bsH//fvj4+OC5557D9u3bMWLECGtavNLSUpw7dw6bN29GcnIyAgIC8Pjjj6OgoAAPPPAAIiIicOvWLXz88cfo3Lmz9QK3bdu26NevH+Lj4+Hn54fjx49bU5paJCcnIyYmBtOnT7drCvv09HRrt56SkhJcvHgRmzZtQlZWFp599lnMnTvXuu7IkSPRv39/vPTSS0hOTkanTp3w559/4pdffsEzzzxjbZW153gAqq7vL774In744QcMHToUCxYsgJ+fH7777jvcvHkTP//8s10TAznzsxo8eLD1LsbcuXNRUlKCr776CkFBQZU2Htnj+eefx/fff48HH3wQTz/9tDUlYrNmzXD27NkabRMw32V++umn8dxzz+H333/Hgw8+aPd50J7j2dHvZtKkSXjkkUfw2WefYciQIdZEBxb21g97TJkyBc8//zy2bt2KefPm3TNt8L3MmDEDS5YswfLlyzF69GiHzmHx8fH46aefsGjRItx3331QKBQYOXJkrc5hpAp1nt+lEbKkgqss1ZLJZGJxcXEsLi7Omg4sKSmJTZs2jYWEhDCxWMzCw8PZiBEj2ObNm62vqywl4sWLF9nAgQOZQqFgAQEBbPbs2ezMmTMMAFuzZo11PaPRyP7v//6PBQYGMo7jbFLE4a6UiIwxdvLkSTZkyBCmUCiYXC5n/fv3ZwcPHrTrPd5dzpMnT7KHH36YRUVFMalUyoKCgtiIESNs0hda0j/dnY6psvJVlRJx/vz5bN26daxFixZMKpWyLl262HxWOp2OPffcc6xTp07My8uLeXp6sk6dOrHPPvuswj7vVllqP5lMxjp37sxWrVplk3rL4ssvv2Tx8fHMw8ODeXl5sQ4dOrDnn3+eZWRkWNfJyspiw4cPZ15eXgxAhXRWQUFBDADLzs62Ltu/fz8DwPr06VNpWU+dOsXGjh3L/P39mVQqZc2aNWMTJ05kf/31l8162dnZbP78+SwyMpKJxWIWEhLCBgwYwL788kvrOpbvctOmTTavtXxf5Y+x6j63qtJhJiYm2qREtPj5559Z7969maenJ/P09GStW7dm8+fPZ1euXLGuY++xX9nxcvnyZda3b1/m4eHBAFjTI1rWzc3NrfR93J227ZtvvmFdunRhUqmU+fr6ssTERLZz507r8wcOHGA9e/ZkHh4eLCwsjD3//PPWdGblj82qPgfGGNPr9Wz58uWsXbt21v3Ex8ez119/nalUqipf4+/vX+UxYhETE8O6dOli/fv8+fNszJgxzMfHh8lkMtaqVSv2yiuv2Lzm1q1bbNq0adb0rrGxsWz+/Pk2KTOLi4vZ4sWLWfPmzZlEImEBAQEsISGBvf/++0yv1zPGGNu8eTMbPHgwCwoKYhKJhEVFRbG5c+eyzMxM63befPNN1r17d+bj48M8PDxY69at2VtvvWXdBmPmdJkA2Isvvljte2XsTvo+AIzjOKZUKlm7du3Y7NmzbVL1lVdcXMwWLlzIwsLCmFgsZi1atGDvvfdepXX+XsdDdfU9KSmJjR8/3vrZd+/enf33v/+12X5V9bEuPqvt27ezjh07MplMxqKjo9ny5cvZN998U6EeVJVmMjExscL57OzZsywxMZHJZDIWHh7O3njjDbZ69WqHUiLeXTcZY0ylUjFvb2+b/dl7HrTneLbnu7FQq9XW88q6desqXcee+lHdb2J5w4YNYwAq/D5Xx/J7WZnXXnvN5vxk7zmspKSETZkyhfn4+DAANukRa3IOI1XjGKuD0RqEOBHHcZg/f36F28yEkMbts88+w/PPP4+kpCTrZDykcvRZNT5jxozBuXPn6nSGZeJeqE85IYQQt7R7924sWLCAgkw70GfVuGRmZuJ///sfHn30UVcXhdQj6lNOCCHELW3atMnVRWgw6LNqHG7evIkDBw7g66+/hlgsthkHQRo/aiknhBBCCHEDe/bswaOPPoqbN2/iu+++Q0hIiKuLROoR9SknhBBCCCHExailnBBCCCGEEBejoJwQQgghhBAXo6CcEEIIIYQQF6OgnBBCCCGEEBejoJwQQgghhBAXo6CcEEIIIYQQF6OgnBBCCCGEEBejoJwQQgghhBAXo6CcEEIIIYQQF6OgnBBCCCGEEBejoJwQQgghhBAXc2lQHh0dDY7jKjzmz58PAOjXr1+F55544olqt7llyxYMHjwY/v7+4DgOp0+frrBOTbZLCCGEEEJIXRG5cufHjh2DyWSy/n3+/HkMGjQIEyZMsC6bPXs2li5dav1bLpdXu83S0lL07t0bEydOxOzZs6tcz9HtEkIIIYQQUldcGpQHBgba/P3OO+8gLi4OiYmJ1mVyuRwhISF2b/PRRx8FACQnJ1e7nqPbJYQQQgghpK64TZ9yvV6PdevWYdasWeA4zrp8/fr1CAgIQPv27bF48WJoNBqn7M/R7ep0OqjVautDpVIhNzcXjDGnlIcQ4jiql4S4J6qbhDjOpS3l5W3btg1FRUWYMWOGddmUKVPQrFkzhIWF4ezZs3jhhRdw5coVbNmypVb7qsl2ly1bhtdff73CcpVKBaVSWavyEEJqhuolIe6J6iYhjuOYm1y2DhkyBBKJBDt27Khynb///hsDBgzA9evXERcXV+32kpOTERMTg1OnTqFz587VrmvPdnU6HXQ6nfVvtVqNyMhIOsEQ4kJULwlxT1Q3CXGcW7SU37p1C7t27bpnC3iPHj0AwK6g3BH2bFcqlUIqlTptn4SQ2qN6SYh7orpJiOPcok/5mjVrEBQUhOHDh1e7niW9YWhoqFP3X1fbJYQQQgghxB4ubynneR5r1qzB9OnTIRLdKU5SUhI2bNiAYcOGwd/fH2fPnsXChQvRt29fdOzY0bpe69atsWzZMowZMwYAUFBQgJSUFGRkZAAArly5AgAICQlBSEiI3dslhBBCCCGkvrg8KN+1axdSUlIwa9Ysm+USiQS7du3CypUrUVpaisjISIwbNw4vv/yyzXpXrlyBSqWy/r19+3bMnDnT+vfkyZMBAK+++ipee+01u7dLCCGNGc8zXMhQo0Cjh59cgnZhSggE3L1fSAhxOaq/jZPbDPRsaNRqNby9vWnQCiFuhOqlfQ5ez8OqPUlIyimBwcQgFnKIC1JgXmIcEpoHuLp4pBGiuuk8VH8bL7foU04IIaR+HLyeh39vPYdLmWp4SkUI8pLCUyrCpcxi/HvrORy8nufqIhJCqkD1t3GjoJwQQpoInmdYtScJJTojQpQyyMRCCAQcZGIhQpRSlOhMWLUnCTxPN1AJcTdUfxs/l/cpJ86VkpKCvLz6vVIOCAhAVFRUve6TEOK4CxlqJOWUwFcusZk5GQA4joOPXIyknBJcyFCjQ4S3i0pJCKkM1d/Gj4LyRiQlJQWtW7dBWZmmXvfr4SHH5cuXKDAnxM0VaPQwmBgkwspvkkqFAqh4hgKNvp5LRgi5F6q/jR8F5Y1IXl4eyso06DHrVShDo+tln+rMZBz55nXk5eVRUE6Im/OTSyAWctCbeMgEwgrP60w8xAIOfnKJC0pHCKkO1d/Gj4LyRkgZGg2/qFauLgYhxM20C1MiLkiBS5nFCFEKbG6BM8ZQpDGgTagX2oVRdgxC3A3V38aPBnoSQkgTIRBwmJcYB4VUiCy1DmUGE3ieocxgQpZaB4VUiHmJcZTvmBA3RPW38aOgnBBCmpCE5gF4e0wHtAn1gkZnRE6JDhqdEW1CvfD2mA6U55gQN0b1t3Gj7iuEENLEJDQPQM9Yf5oRkJAGiOpv40VBOSGENEECAUdp0whpoKj+Nk7UfYUQQgghhBAXo6CcEEIIIYQQF6OgnBBCCCGEEBejoJwQQgghhBAXo6CcEEIIIYQQF6OgnBBCCCGEEBejoJwQQgghhBAXo6CcEEIIIYQQF6OgnBBCCCGEEBejoJwQQgghhBAXE7m6AIQQQhofnme4kKFGgUYPP7kE7cKUEAg4VxeLuCk6XgihoJwQQoiTHbyeh1V7kpCUUwKDiUEs5BAXpMC8xDgkNA9wdfGIm6HjhRAz6r5CCCHEaQ5ez8O/t57DpUw1PKUiBHlJ4SkV4VJmMf699RwOXs9zdRGJG6HjhZA7KCgnhBDiFDzPsGpPEkp0RoQoZZCJhRAIOMjEQoQopSjRmbBqTxJ4nrm6qMQN0PFCiC0KygkhTQ79yNeNCxlqJOWUwFcuAcfZ9gfmOA4+cjGSckpwIUPtohISd0LHCyG2KCgnhDQ5GaoylOlNri5Go1Og0cNgYpAIK/9pkQoFMPAMBRp9PZeMuCM6XgixRUE5IaTJ4XkgU1WGwlL6sXcmP7kEYiEHvYmv9HmdiYdYwMFPLqnnkhF3RMcLIbYoKCeENFmFGj0yVWUwUXcWp2gXpkRckAKFGgMYs/1MGWMo0hgQF6RAuzCli0pI3AkdL4TYqnVQrlarsW3bNly6dMnh10ZHR4PjuAqP+fPnAwD69etX4bknnnii2m1u2bIFgwcPhr+/PziOw+nTpyuso9VqMX/+fPj7+0OhUGDcuHHIzs52uPyEkIavTG9CemEZtAbqzlJbAgGHeYlxUEiFyFLrUGYwgecZygwmZKl1UEiFmJcYR/mnCQA6Xgi5m8NB+cSJE/HJJ58AAMrKytCtWzdMnDgRHTt2xM8//+zQto4dO4bMzEzrY+fOnQCACRMmWNeZPXu2zTrvvvtutdssLS1F7969sXz58irXWbhwIXbs2IFNmzZhz549yMjIwNixYx0qOyGk8TDyPDJVWpTojK4uSoOX0DwAb4/pgDahXtDojMgp0UGjM6JNqBfeHtOB8k4TG3S8EHKHw5MH7d27Fy+99BIAYOvWreZbTEVF+O677/Dmm29i3Lhxdm8rMDDQ5u933nkHcXFxSExMtC6Ty+UICQmxe5uPPvooACA5ObnS51UqFVavXo0NGzbggQceAACsWbMGbdq0weHDh9GzZ0+790UIaTwYY8hRa2FSSOHtIXZ1cRq0hOYB6BnrTzM0ErvQ8UKImcMt5SqVCn5+fgCA33//HePGjYNcLsfw4cNx7dq1GhdEr9dj3bp1mDVrlk1qpPXr1yMgIADt27fH4sWLodFoarwPADhx4gQMBgMGDhxoXda6dWtERUXh0KFDVb5Op9NBrVbbPAghrlUX9TK/REcDQJ1AIODQIcIbiS0D0SHCmwKsJsbRuknHCyE1CMojIyNx6NAhlJaW4vfff8fgwYMBAIWFhZDJZDUuyLZt21BUVIQZM2ZYl02ZMgXr1q3D7t27sXjxYnz//fd45JFHarwPAMjKyoJEIoGPj4/N8uDgYGRlZVX5umXLlsHb29v6iIyMrFU5CCG1V1f1slCjR36JzinbIqQpot9MQhzncFD+zDPPYOrUqYiIiEBYWBj69esHwNytpUOHDjUuyOrVqzF06FCEhYVZl82ZMwdDhgxBhw4dMHXqVKxduxZbt25FUlJSjfdTU4sXL4ZKpbI+UlNT670MhBBbdVkvVWUG5FFgTkiN0G8mIY5zuE/5k08+ie7duyM1NRWDBg2CQGCO62NjY/Hmm2/WqBC3bt3Crl27sGXLlmrX69GjBwDg+vXriIuLq9G+QkJCoNfrUVRUZNNanp2dXW3fdalUCqlUWqN9EkLqRl3XS3WZAQKOg58n5UkmxBH0m0mI4xwOygGgW7du6NatGwDAZDLh3LlzSEhIgK+vb40KsWbNGgQFBWH48OHVrmdJbxgaGlqj/QBAfHw8xGIx/vrrL+ug1CtXriAlJQW9evWq8XYJIY1T0e3ZBCkwJ4QQUpdq1H1l9erVAMwBeWJiIrp27YrIyEj8888/DheA53msWbMG06dPh0h05xohKSkJb7zxBk6cOIHk5GRs374d06ZNQ9++fdGxY0freq1bt8bWrVutfxcUFOD06dO4ePEiAHPAffr0aWt/cW9vbzz22GNYtGgRdu/ejRMnTmDmzJno1asXZV4hhFSqSKNHjlpbYYITQojzGEw8DFXM7klIU+BwUL5582Z06tQJALBjxw7cvHkTly9fxsKFC62pEh2xa9cupKSkYNasWTbLJRIJdu3ahcGDB6N169Z49tlnMW7cOOzYscNmvStXrkClUln/3r59O7p06WJtdZ88eTK6dOmCzz//3LrOihUrMGLECIwbNw59+/ZFSEjIPbvOEEKathKdEZkqLc3+SUgdMZoY0gvLaL4A0mQ53H0lLy/P2vf6119/xYQJE9CyZUvMmjULH330kcMFGDx4cKWtT5GRkdizZ889X3/3a2fMmGGTwaUyMpkMn376KT799FOHykoIadq0BhMyisoQrJRBIqr1hMiEkLvwt+cL0MhECPCUUmpE0qQ4/KsSHByMixcvwmQy4ffff8egQYMAABqNBkKh0OkFJIQQd2Iw8chUlUFrMLm6KIQ0WiVaI9KLqJ6RpsXhoHzmzJmYOHEi2rdvD47jrJPwHDlyBK1bt3Z6AQkhxN2YeIYslRZlegoYCKkrBhOPjKIymsyLNBkOd1957bXX0L59e6SmpmLChAnWlEdCoRAvvvii0wtICCHuiGcMWWotgryk8JTWKJEVIcQOhRo9tEYTAhVSiITUbYw0XjX6JRk/fjwAQKvVWpdNnz7dOSUihJAGgjGGbLUWPnIJpUwkpA6V6U1ILypDgIIugknj5fAlp8lkwhtvvIHw8HAoFArcuHEDAPDKK69YUyUSQkhTUqTRI1NVRplZCKlDJt58EZxbrKP0pKRRcjgof+utt/Dtt9/i3XffhURyp2Woffv2+Prrr51aOEIIaSjK9CakF5ZBZ6R+5oTUpWKtAWlU10gj5HBQvnbtWnz55ZeYOnWqTbaVTp064fLly04tHCGENCRGnkdmkRallGeZkDplHgSqhUpjcHVRCHEah4Py9PR0NG/evMJynudhMFDlIIQ0bfztfuYULBBStxhjyC/VIVNVBiPNBEoaAYeD8rZt22Lfvn0Vlm/evBldunRxSqEIIaShyy/VUd9XQupBmd6EtMIyFGvpQpg0bA4PYV6yZAmmT5+O9PR08DyPLVu24MqVK1i7di3++9//1kUZCSGkQSrWGmDkeQR7yWhmQkLqEM8Ycot1KDOYaCZQ0mA53FI+atQo7NixA7t27YKnpyeWLFmCS5cuYceOHdbZPQkhhJhZUrkZ6PY6IXXOMhMoDQIlDVGNkn326dMHO3fudHZZCCGkUbLMTBislEEmFt77BYSQGrMMAvXzlMDbQ+zq4hBiN4eD8mPHjoHnefTo0cNm+ZEjRyAUCtGtWzenFY4QQhoLE8+QqdIi0EsKBU1+YheeZ7iQoUaBRg8/uQTtwpTULYHYhTGG/BIdtAYTAhRSCOm4sQvVOddy+Jdh/vz5eP755ysE5enp6Vi+fDmOHDnitMIRQkhjwhhDjloLg1wCX5oBtFoHr+dh1Z4kJOWUwGBiEAs5xAUpMC8xDgnNA1xdPNJAlOqM0Bl4BCmldJfqHqjOuZ7DfcovXryIrl27VljepUsXXLx40SmFIoSQxqxQo0eOWgueZgCt1MHrefj31nO4lKmGp1SEIC/z1OqXMovx763ncPB6nquLSBoQI2/uPlak0bu6KG6L6px7cDgol0qlyM7OrrA8MzMTIhHdkiWEEHuU6MwD0vRGGgBaHs8zrNqThBKdESG3++ALBBxkYiFClFKU6ExYtSeJLmiIwwpK9chUlcFEx44NqnPuw+GgfPDgwVi8eDFUKpV1WVFREf79739T9hVCCHGAZQCoRk8zgFpcyFAjKacEvnIJOM62LyvHcfCRi5GUU4ILGWoXlZA0ZGV6EzIoO4sNqnPuw+Gm7ffffx99+/ZFs2bNrJMFnT59GsHBwfj++++dXkBCCGnMeMaQdXsAqJeMMkUUaPQwmBgkwsrbjKRCAVQ8QwF1RSA1ZMnOEqCQUJ0D1Tl34nBQHh4ejrNnz2L9+vU4c+YMPDw8MHPmTDz88MMQi+ngJoSQmsgt1oFnaPIp3PzkEoiFHPQmHjJBxYF5OhMPsYCDn5wGypKaY7cnG9LoTfD3lEBURUDaFFCdcx816gTu6emJOXPmOLsshBDSpOWX6GA08fBXSF1dFJdpF6ZEXJAClzKLEaIU2NxOZ4yhSGNAm1AvtAtTurCUpLEo1RlRpjfBRy6Gt4e4QveNpoDqnPtw+NJw2bJl+Oabbyos/+abb7B8+XKnFIoQQpoqVZkB2U04M4tAwGFeYhwUUiGy1OZp03meocxgQpZaB4VUiHmJcZQ7mTgNzxgKSvVIK2ya4zuozrkPh1vKv/jiC2zYsKHC8nbt2mHy5Ml44YUXnFIw0rBcunSpXvcXEBCAqKioet0nIfWlVGeE3sgjWCmDRNT0bqsnNA/A22M6WHMmq3gGsYBDm1AvyplM6ozBxCNLpYVcIoK/QgJxE+rSQnXOPTgclGdlZSE0NLTC8sDAQGRmZjqlUKThKFPlA+DwyCOP1Ot+PTzkuHz5EgXmpNEymHikF5XBSyaCv2fFrAiNXULzAPSM9afZBUm90+iNKCs0wdtDDF950+nSQnXO9RwOyiMjI3HgwAHExMTYLD9w4ADCwsKcVjDSMBg0xQAYOk95AYExretln+rMZBz55nXk5eVRUE4aNcYY1GUGGEw8QpSyJhMcWAgEHDpEeLu6GKQJMvel1qNUZ4SfpwSe0qYxDwvVOddy+CibPXs2nnnmGRgMBjzwwAMAgL/++gvPP/88nn32WacXkDQMiqAo+EW1cnUxCGmUyvQm5BTrEOQlbXKBOSGuZDDxyFZr4SERws9TAqmoYnYSQpzF4aD8ueeeQ35+Pp588kno9eaclTKZDC+88AJefPFFpxeQEEKIuZ95+u0W86acvo0QVyjTm5CuL4NCJoKvvGn1Nyf1x+GgnOM4LF++HK+88gouXboEDw8PtGjRAlKpFCaTCUIhXUUSQkhd0BvN/cz9PGnSE0JcoURrRKnOBF+5GD6Ut5s4WY0v9RQKBe677z60b98et27dwgsvvICIiAiHthEdHQ2O4yo85s+fDwDo169fheeeeOKJarfJGMOSJUsQGhoKDw8PDBw4ENeuXbvnft955x3HPgBCCHEBE2+e9CRHrQVjTTNtIiGuxG6nUMwoKoPeyLu6OKQRqXFQrtFosGbNGvTp0wdt27bFnj17sGjRIoe2cezYMWRmZlofO3fuBABMmDDBus7s2bNt1nn33Xer3ea7776L//znP/j8889x5MgReHp6YsiQIdBqtTbrLV261Ga7//d//+dQ2QkhxJVKdEZkqLQwmigoIMQVtAYT0ovKUFhK088T53C4+8rhw4fx9ddfY9OmTYiKisKlS5ewe/du9OnTx+GdBwYG2vz9zjvvIC4uDomJidZlcrkcISEhdm2PMYaVK1fi5ZdfxqhRowAAa9euRXBwMLZt24bJkydb1/Xy8rJ7u4QQ4o50t4OCAIW0yWSHIMSdMMZQqNGjzGBCkJeUxnuQWrH76Pnggw/Qrl07jB8/Hr6+vti7dy/OnTsHjuPg7+9f64Lo9XqsW7cOs2bNsskusH79egQEBKB9+/ZYvHgxNBpNldu4efMmsrKyMHDgQOsyb29v9OjRA4cOHbJZ95133oG/vz+6dOmC9957D0Zj9bN46XQ6qNVqmwchxLWoXpq7s2Srtcgv0VF3FuI2mlrd1BpMyFRpYaA7V6QW7G5aeeGFF/DCCy9g6dKldTKYc9u2bSgqKsKMGTOsy6ZMmYJmzZohLCwMZ8+exQsvvIArV65gy5YtlW4jKysLABAcHGyzPDg42PocACxYsABdu3aFn58fDh48iMWLFyMzMxMffvhhleVbtmwZXn/99Vq8Q0KIs1G9vENVZoDOaM7OQpN9EFdrinXTYOKRWaRFsLeUUieSGrG7pfyNN97Apk2bEBMTgxdeeAHnz593akFWr16NoUOH2kxANGfOHAwZMgQdOnTA1KlTsXbtWmzduhVJSUm12teiRYvQr18/dOzYEU888QQ++OADfPzxx9DpdFW+ZvHixVCpVNZHampqrcpACKk9qpe2tAYTMlRl1M+cuFxTrZtG3hyYa/TV330npDJ2B+WLFy/G1atX8f333yMrKws9evRAp06dzP2pCgtrVYhbt25h165dePzxx6tdr0ePHgCA69evV/q8pY94dna2zfLs7Oxq+4/36NEDRqMRycnJVa4jlUqhVCptHoQQ16J6WZElbWKZ3uTqopAmzNG6qdEbcTOvpJ5KV7d4xpCl0iJHTQOxiWMcHpGQmJiI7777DllZWXjyyScRHx+PxMREJCQkVNv9ozpr1qxBUFAQhg8fXu16p0+fBgCEhoZW+nxMTAxCQkLw119/WZep1WocOXIEvXr1qna7AoEAQUFBjheeEELcjIlnyFSVoaCWWSF4nuFcmgp7rubiXJoKPE991knd2HgsFcM/3o9XfjmP8+kqVxfHKUp0RqQWmrOz3D3eg+oWqUyNh+t7eXlh7ty5mDt3Ls6dO4fVq1fjnXfecTgtIs/zWLNmDaZPnw6R6E5xkpKSsGHDBgwbNgz+/v44e/YsFi5ciL59+6Jjx47W9Vq3bo1ly5ZhzJgx4DgOzzzzDN588020aNECMTExeOWVVxAWFobRo0cDAA4dOoQjR46gf//+8PLywqFDh7Bw4UI88sgj8PX1renHQQghboFnDNezS6HS6uEtk6B9uBIh3o7PAnrweh5W7UlCUk4JDCYGsZBDXJAC8xLjkNA8oI5KT5oio4nH1/tvgjHgwPV8HLiej3ZhSkzqFomE5v4QcA13jIQlO0ux1gg/hQQKqcjt6xbPM1zIUKNAo4efXIJ2YUoap1JPapVDS6vVQiaToUOHDli5ciXee+89h7exa9cupKSkYNasWTbLJRIJdu3ahZUrV6K0tBSRkZEYN24cXn75ZZv1rly5ApXqzlX1888/j9LSUsyZMwdFRUXo3bs3fv/9d8hkMgDmW2o//vgjXnvtNeh0OsTExGDhwoUOX0wQQoi7OZVSiA1HU5GaXwoDzyAWcIj098QjPaLwYPtQeEjsG3x28Hoe/r31HEp0RvjKJZAIBdCbeFzKLMa/t57D22M6uEXwQBqHTJUWMrHtsXkhQ40l2y8gwtcDE+IjMLhtMKTihjt40sjzyFFr8U+GGu/9cRmlepNb1i13v2Bo7BwOynmex1tvvYXPP/8c2dnZuHr1KmJjY7FkyRJER0dXCK7vZfDgwZWm8YqMjMSePXvu+fq7X8txHJYuXYqlS5dWun7Xrl1x+PBhh8pICCHu7lRKIT7ceRUavQlKmRhKIQeDieFGbgne//MKeMbQv3Uw/Dyrnxqc5xlW7UlCic6IEKXMmqJWJhAiRClAllqHVXuS0DPWn1rPiFNE+snx5zN98fuFLHy+Jwln0+40tKUVlmHFrmv49mAyRncJx6hOYVB6iF1Y2prjGcOag8lQa811y3L3yl3qFl2Mu57DfcrffPNNfPvtt3j33Xchkdw5ubdr1w5fffWVUwtHCCHk3njGsOFoKjR6EwIUEkhFAgg4DlKRAAEKCTR6EzYcTUVBqQ5phRpoDVUPAr2QoUZSTgl85RKbOSMAc6OHj1yMpJwSXMho3HmnSf0SCDj0bxWElZM649MpXdC3ZQDKx6WFGgPWHEjG5C8P4+O/ryNTVea6wtbQ9exSpOaXQikTw8QzGE28tWHR1XXr7otxmVgIgYCDTCxEiFKKEp0Jq/YkUd/3OuZwUL527Vp8+eWXmDp1qk2+8k6dOuHy5ctOLRwhhJB7K/9jz+GuQBocvGRipOaX4np2KfRGHhlFZVVONlSg0cNgYpBU0QddKhTAwDMUaGhqcVI32oQq8drIdvhuVneM6hQGqejOsag18th6Kh2Prj6KpTsu4kpWsQtL6hiVVm/uViY011ETz2AwMfC366Er6xZdjLsHh4Py9PR0NG/evMJynudhMBicUihCCCH2u/vH/m4SIQcDY1Bp7/zYq8oMyFRpYbqr5ctPLoFYyEFfRSo3nYmHWMDBT159NxhCaivcxwNPD2yBH2b3wPRezeBdrtsKz4B/ruZi3vqTWLTxNI7czHf7GW29ZRKIBeZuZRaMMRhMPEw8c2ndootx9+BwUN62bVvs27evwvLNmzejS5cuTikUIYQQ+1X2Y1+e3sQg5jh4y2x/7LUGE9ILy2y6s7QLUyIuSIFCjaFCkMMYQ5HGgLggBdqFUU54Uj985BJMT4jGD7N74OkBLRDmI7N5/nSqCou3nMfja0/gjwtZbjvVffNgT0T6e0KtNYChXN1igMFkQn6JHjGBni6pW3Qx7h4cHui5ZMkSTJ8+Henp6eB5Hlu2bMGVK1ewdu1a/Pe//62LMhJCCKmG5cf+Rm4JAhQSmy4sDAzFWgNiAxVoHuxZ4bVG3tydxdtDDF+5BAIBh3mJcfj31nPIUuvgIxdDKhRAZ+JRpDFAIRViXmIcDfIk9U4mFmJU5zCM6BiKA9fz8OOxVFwu133lZl4plv9+Bav338TYrhEY0TEUCmmtksw5lYDjMKV7JD7ceRV5JXp4ycSQCDnoTeY6KpcIMbZLBAo1emtdrC+Wi/FLmcUIUQpsurBYLsbbhHrRxXgdc7ilfNSoUdixYwd27doFT09PLFmyBJcuXcKOHTswaNCguigjIYSQalh+7OUSIfJK9NAaefCMQWvkkVeih1wixJTukdXme1aVGZBeVAad0YSE5gF4e0wHtAn1gkZnRE6JDhqdEW1CvSgDA3E5oYBD35aB+HRKF6yc1Am9Yv1tns8r0ePLvTcw+cvDWPVPEnKLdS4qaUVdonyxaFBLxAYqoNUbka/RQ6s3IjZQgUWDWqJLlA9UZQakFmqg1tZfl2DLxbhCKkSWWocygwk8z1BmMCFLraOL8Xri0CWk0WjE22+/jVmzZmHnzp11VSZCCCEOsvzYW/KUFzNzl5XYQAWmdI9El6h7T45mMPHIKNLC20OMHrH+6BnrT5OIELfFcRw6RvigY4QPbuWXYtPxNOy8lG3txqXRm7DpRBq2nErHgNZBmNgtArGBCheX2lxXO0X62Ezy1TzY0+ai2cQz5BXrUKI1ItBLCrGDk3/VhOVi3JKnXHV7roM2oV6Up7yeOBSUi0QivPvuu5g2bVpdlYcQQkgN2fNjfy/mW9V6qMoM8BAL0SxAjvZSZYWMDIS4k2b+nvjXkFaYeX80tp5Kx/YzmSjRGQGYA9w/L2bjz4vZ6B7ti4ndItElyselx7SA49Ay5N4XCJZxH75yCZQeojovc0LzALoYdyGHO1sNGDAAe/bsQXR0dB0UhxBCSG3Y+2N/L4wxaPRGaPRGFJUaEOAlgVziPv1zCamMv0KKx/vEYkqPKPx6LgubT6Qhp1z3laPJhTiaXIgWQQpM7BaJfq0CIXTzgJNnDPmlOqi1Bvgr6r4eCgQcOkR41+k+SOUc/maHDh2KF198EefOnUN8fDw8PW0HDj300ENOKxwhhBDXM/I8stU6BHrBrQbOEVIVuUSE8fERGN05DHuu5uKn42m4nlNiff5aTgne+vUSvt5/A+PjIzCsfSg8JMJqtuh6BhOPLJUWHhIhfOUSyMTuXV7iOIfPrk8++SQA4MMPP6zwHMdxMJmqnimOEEJczd1zGbsrxhhy1FqUycTw9hBDIqr7Pq6E1JZIKMCANsF4oHUQTqYUYePxVBxLLrQ+n63W4dPdSVh76BYe6hSGMV3C4efp3mn/yvQmlOnLoJCJ4O8pdfuWfmI/h4NynnfP/J+EEHIv2Wotxn52EPdF+6FnrB86R/pQcOmgYq0BxVoDFDIR/OQSiOphABohtcVxHOKb+SK+mS+Sckrw0/FU7L6Sa508q1hrxPojKdh4PBWD2gZjYrdIRPnJXVzq6pVojdDqeepa1ojQt0gIaTL+upSD9KIypJ9Ox7bT6fAQC9Et2hcJcf7oEeMHH5oYw24lWiM0OhP8FBIoZeJ7v4AQNxEXpMC/h7XB471j8PPJdPz3bCbKbk+gZTAx/HouC7+ey0JCnD8mdYtE+3D3Hehs5M1dWqjVvHGoUVBeWlqKPXv2ICUlBXq97ZSrCxYscErBCCHE2XZdyrb5u8xgwr5redh3LQ8CDmgbqkRCnD96xfkjyk/utj/E7oJn5rRtZXoTAhVSytBAGpQgpQzz+sXh0Z7NsONsBracTEd+6Z2Y5mBSPg4m5aNtqBcm3heJ++MC3DbotVwk+8ol8JbTRXJD5XBQfurUKQwbNgwajQalpaXw8/NDXl4e5HI5goKCKCgnhLit5eM6YvflHGw/k4HjyQXQGu90x+MZcD5DjfMZany57ybCfGRIiPNHQlwA2ocpqZtGNUp1RhhMPAK9pJCKaPAZaVgUMhEe7h6FcV0j8NflHGw8nopb+Rrr8xczi/Ha9ouI8PXA+PgIDGkbDKkbDrK0ZGkp0RsRoJBQXWyAHA7KFy5ciJEjR+Lzzz+Ht7c3Dh8+DLFYjEceeQRPP/10XZSREEKcItBLion3RaJnrD9KdQacSi3CwaR8HLqRj/wS27t+GUVabD6Rjs0n0qGQitAjxg+94vzRPdoPChn1/Lub3sgjvbAMSg8xfDzEdBFDGhyJSICh7UMwpF0wjt4swE/HUnEmTWV9Pq2wDCt3XcO3B5IxuksYRnUKd8tWad3t3OYKmQg+HhIaN9OAOPzLcvr0aXzxxRcQCAQQCoXQ6XSIjY3Fu+++i+nTp2Ps2LF1UU5CCHEqqViInrdnrWSM4VpOCQ5ez8fBG/k2qdMAoERnxF+Xc/DX5RwIBRw6Rnibu7nE+iPMx8NF76BmeMZqNbnQvajLDCjWGuEpFUImFkIqElCLHWlQBBxnPTdczlLjp2Np2HctF7fHhKKozIBvD97CD0dT8WD7EIyPj0C4G54HSrRGlGiN8JSKoJSJ3T7lI6lBUC4WiyEQmK+6goKCkJKSgjZt2sDb2xupqalOLyAhhNQ1juPQMtgLLYO9MOP+aOSotTh0owCHkvJwKrXIOm03YJ4d8FRKEU6lFOHT3UmI9pejV5w/EuL80TpE6bZ9TgHgVEohNhxNRWp+KQy3p9CO9PfElO6R6BLl67T9MMasAQFgDnIkIgFEAg4eEiE8JSLqf04ahNYhSjzUKRT5JTok5ZagzHCny5vOyOOX0xnYcSYDfVoEYtJ9EWgdonRhaStXqjOiVGeEWCiAt1wML2ndzwxKasbhoLxLly44duwYWrRogcTERCxZsgR5eXn4/vvv0b59+7ooIyGE1KsgpQyjOodhVOcwaPRGHL9ViENJ+Th8owCqMoPNusn5GiTna/DD0VT4eIjRM9YcoMdH+8LDjfqdnkopxIc7r0KjN0EpE0Mp5GAwMdzILcGHO69i0aCWTg3My+MZg/Z2dosSnRH5nB5yqRAKqQhCAQexQEBBOnFL5etNkJcMAg4o0BigLjPAcqnOM2DP1VzsuZqLThHemHRfJLrH+Dn1DpQzGEw88op1UGkMCPSS0uRDbsjhoPztt99GcXExAOCtt97CtGnTMG/ePLRo0QKrV692egEJIcSV5BIR+rYIRN8WgTDxDJcy1eZ+6En5uFWgsVm3qMyA3y9k4fcLWRALOXSN8kWv291cAr2kLnoHgMnE8NW+myjSGODnKYFExIEDB6mIQ4BCgrwSPTYcTUWnSJ96CST4u1rSAXN/XrlEBLnE3OWlsbbkMcZg5BmMJga9iYfRxMPEGHje/LkAAMcBHLjb/wLgAIlQQCk7ncTeLlw8Y9hwNBUavQkBCgk487eBYC8pAhRiZBZpYWLmFnOLM2kqnElToZm/HBO7RWJA6yC369NtMPHIKCqDl0wMf08JXRC7EYeD8m7duln/HxQUhN9//92pBSKEEHclFHBoH+6N9uHemNM3FumFZTh0Ix8Hk/JwNk1l7XMKmPMdH7lZgCM3C7AS19AiSGHt5tIiSFFvQeeplEJ8te8mrmYVAxyQqSqDRCiAn0IKuVgIDhy8ZGKk5pfienYpWoYo6qVcd9MbeeiNehRpzN2JxEIOUpEQMrEAMrEQ4hoMHOVvfyGOBh08bw6YdUYeJp6BZwwczOUSWAJmAazLAHOwbXlewHEwmHjob7/exBh4Zr44MtZwAj6pWAgf957LpkFwpAvX9exSpOaXQikTWwNyCyEnQICXDGU6A8YmRGPftVxczCy2Pn8rX4P3/riCb/bfxNiu4RjZMcztBogXaw3Q6I3w8ZBA6UFdWtyBw0fIzZs3YTQa0aJFC5vl165dg1gsRnR0tLPKRgghbi38doq08fERKNYacPRmAQ4m5eNocgFKdSabda/llOBaTgnWHrqFAIUECXEB6BXnhy6RvnXWkma59V6kMXe5Mce1HLRGHtkqLYK9ZZCLhZAIORQzBpVWX+326gtjDHojg97Io1hrXiYSCCAVmz8nE89g4hkYA0yMQchxEN9u/QfME6oYTaxcyzMHucQ88LR8fM7z5tcbed7aUm3iGQwmmrm6MXK0C5dKq4eBZ1AKKw9WJUIOxQBiAz0x6b5InE9X4adjqTiQlG9dJ79Uj6/23cS6wykY0TEU47qGI0gpq+u3ajcTb06jqNaa76J5St3rwqGpcfjTnzFjBmbNmlUhKD9y5Ai+/vpr/PPPP84qGyGENBheMjEGtAnGgDbBMJp4nE1X4dDtyUcyVVqbdfNK9Nh+JgPbz2RAJhagWzNzusWesX7wdVIXhfK33v08Jcg0lgHgIODMrbxGnqGgRAcPXw/oTQxijoO3zH27Rxh5HkZd5cGykTEYq7meYIxZB7uRpqmqrijVdeHylkkgFpgDd6moYmB+d72x3EVLyddg04k0/HkxyzpIvMxgwqYTadhyKh39WwViUrdIxAW55q5UZQwmHtlqLTwkQvh5Uo5zV6nR5EH3339/heU9e/bEU0895ZRCEUJIQyYSCtA1yhddo3zxZL843CrQ4OB1cz70ixlqlOvlAq2Bx/7redh/PQ8cgDa3ZxVNaO6PZrWYVbT8rXeJiINEKITOaAInNLccCwWA3sRDa+BRojMiNlCB5sGeTnn/hLib6rqiVNWFq3mwJyL9PXEjt8QmkAcABoZiraHSehPlL8ezg1ti5v3R2HoqHdvPZKD49vgJE8+w61IOdl3KQXwzX0zqFoH4Zr5u03WkTG9Cur4MCqkIvp6SGnUbIzXncFDOcZx1oGd5KpUKJpOpklcQQkjTxXEcov09Ee3viSk9olCo0ePwjQIcSsqvMKsoA3AxU42LmWp8vd88q2ivWH/0ivNHx3BvhybkKX/rnQMHP4UE2SotTCYGc1Zbcz/nglIDfOQiTOke6XbZIghxFru6otzVhUvAcZjSPRIf7ryKvBI9vGRiSIQc9CZzQC6XCKutN36eEjzWOwZTukfht/OZ2HQiDdlqnfX5E7cKceJWIZoHKjDpvggktgx0m0m3SnRGlOpN5uBcTpOB1ReHg/K+ffti2bJl+OGHHyAUmm9vmEwmLFu2DL1793Z6AQkhpDHxlUswtH0IhrYPgd7I41RqoTWbS14ls4r+fDIdP59Mh6dUiO7RfkiI80f3GD94yaqfSfDuW+9ysRDB3jIUlOihN5lgGW8Y6eeB2X1i7pkOsa4nHSKkLjnaFcWiS5QvFg1qaR0cWszM68UGKqyDQ+9VNzwkQoztGoFRncOx52oufjqWimvlJii7nluCt369jK/23cT4+AgM7xDqFhP9MGa++CjRGeF9e6ZeytRStxwOypcvX46+ffuiVatW6NOnDwBg3759UKvV+Pvvv51eQEIIaawkIgF6xPijR4w/nhlgnlXU0g/92l2zipbqTNh9JRe7r+RCwAEdI3ys2Vwqm02wslvvcrEQHr4yaA08Ckv1iPCT4+PJXSCsovXQor4mHSKkrtS0KwpgDsw7RfpUGng7UjeEAg4PtA5C/1aBOJVahI3HUnE0udD6fE6xDp/9k4S1h27hoU6hGNMlHP4K16VStWCMoUijR7HWAB+5BEoZZWqpKw7fj2jbti3Onj2LiRMnIicnB8XFxZg2bRouX77s8ORB0dHR4DiuwmP+/PkAgH79+lV47oknnqh2m4wxLFmyBKGhofDw8MDAgQNx7do1m3UKCgowdepUKJVK+Pj44LHHHkNJSUkVWySEkLpnmVV0ekI0vng0Hj/N6YlnBrZA9xg/iO8KmnkGnE4twqp/kvDo6qOYueYYvtx7A+fTVTBZ0gDevvUulwiRV6KH1siDZww6IzO3fMnFmN0nxq6A/MOdV3EjtwQeEhH8PSXwkIisGStOpRRW+3pC3EFV9UFr5JFXor9nVxQBx6FliAL3RfuhZYjCGpDXpG5wnHkOg3fGdcTX0+IxuG2wzUzAJTojNhxNxZSvj+D9P67gVn5pnXwmjjLxDPklOqQVlkGjp0HTdaFGuW/CwsLw9ttv13rnx44ds+mHfv78eQwaNAgTJkywLps9ezaWLl1q/Vsurz5R67vvvov//Oc/+O677xATE4NXXnkFQ4YMwcWLFyGTmdMQTZ06FZmZmdi5cycMBgNmzpyJOXPmYMOGDbV+T4QQ4gyBXlI81CkMD3UKQ5nehBO3CnHohrmbS9Fds4reKtDgVoEGPx4zzyraI9YPCXEB6Nbs3rfeq1OTjBWEuCt7uqLYy1l1IzZQgReHtsZjvWPw88k0/PdsJjR6c1xkMDH8ej4Lv57PQq9Yf0y8LwIdw71d3kptMPHIUlGmlrpQo6C8qKgIR48eRU5ODvi7JkKYNm2a3dsJDAy0+fudd95BXFwcEhMTrcvkcjlCQkLs2h5jDCtXrsTLL7+MUaNGAQDWrl2L4OBgbNu2DZMnT8alS5fw+++/49ixY9aJkD7++GMMGzYM77//PsLCwuwuPyGE1AcPiRC9WwSgd4sAmHiGy1lqazeX5PyKs4r+cSEbf1zIhljIoUuUL+5v7o/QrhEQCOBQf/CaZKwgxJ1V1xXFEc6uG4FeUjyRGIdHejbDf89m4ueTacgvN8bk0A1z9qbWIV6YfF8k7m8eYNO67gqWTC0eEiG8PcSQSyjHeW05/Anu2LEDU6dORUlJCZRKpc0VG8dxDgXl5en1eqxbtw6LFi2y2eb69euxbt06hISEYOTIkXjllVeqbC2/efMmsrKyMHDgQOsyb29v9OjRA4cOHcLkyZNx6NAh+Pj42MxMOnDgQAgEAhw5cgRjxoypdNs6nQ463Z1R02q1ukbvkxDiPE2xXgoFHNqFeaNdmDce7xOLjKIyawv6mbQ73VcAc0vb0ZsFOHqzAADQPEiBhDh/gGN2zSpak4wVhADuXTctXVFqo67qhkIqwuT7IjGuazj+vpyDn46l2lx4X84qxms7LiLMR4YJ8REY0i4EMrFrW6rL9CaU6U0QCwXwkongJRO7/IKhoXI4KH/22Wcxa9YsvP322/fsSuKIbdu2oaioCDNmzLAumzJlCpo1a4awsDCcPXsWL7zwAq5cuYItW7ZUuo2srCwAQHBwsM3y4OBg63NZWVkICgqyeV4kEsHPz8+6TmWWLVuG119/vSZvjRBSR6heAmE+HhjXNQLjukagRGvE0WRzusUjNwtQctdkOddzSnC93KyilnSLXaMqn1W0phkrCGnsdbOu64ZYKMCQdiEY3DYYR24WYOPxNJxOLbI+n1GkxUd/Xce3B29hVOcwjO4cBh8nTTxWUwYTj4JSPQo15nSRSpnYLbLINCQOB+Xp6elYsGCBUwNyAFi9ejWGDh1q031kzpw51v936NABoaGhGDBgAJKSkhAXF+fU/d/L4sWLsWjRIuvfarUakZGR9VoGQogtqpe2FDIRHmgdhAdaB8Fo4nE+Q42DSXk4lFSA9KIym3XzSvTYcTYTO85mQiYSIL6ZLxLi/NEj1h9+nuYf99pkrCBNW2Ovm/VVNziOQ89Yf/SM9ceVrGJsPJ6KPVdzYbkhpiozYO2hW/jxWCoebBeCCfERCPetmI2pPpWfQVciEsDbQwyFlDK22MPhoHzIkCE4fvw4YmNjnVaIW7duYdeuXVW2gFv06NEDAHD9+vVKg3JL3/Ps7GyEhoZal2dnZ6Nz587WdXJycmxeZzQaUVBQUG3fdalUCqnU9amJCCF3UL2smkgoQOdIH3SO9MG8RIaUAg0OJZn7pV7IUKNcLxdojTwOJOXjQFL+7VlFvZAQF4Becf54+L4IrNh1rUaTp5Cmq7HXzdpOLFQTrUK88MqItnhcVYbNJ9Lx27lM6+RjeiOP7WcysONMBvq0CMCk+yLRJlTptH3XlN7II7dYh4JS82fk7UFdW6pjV1C+fft26/+HDx+O5557DhcvXkSHDh0gFttOYPHQQw85XIg1a9YgKCgIw4cPr3a906dPA4BNwF1eTEwMQkJC8Ndff1mDcLVajSNHjmDevHkAgF69eqGoqAgnTpxAfHw8AODvv/8Gz/PWoJ8QQhoTjuPQzN8Tzfw9Mbl7FFQaA47cNAfhx5MLUWa4kwXLPKtoMS5mFuPr/TcR6i1D80BPZKl1KCrVoRioccYKQhoTZ2ZzcUSotwf+74HmmNarGbafycC2U+ko1JgzMjEAe6/lYe+1PHSM8MbEbhHoGevv8gtnE2/Oda4uM8BXLoG3vPrJz5oqu4Ly0aNHV1hWPk2hBcdxNikO7cHzPNasWYPp06dDJLpTnKSkJGzYsAHDhg2Dv78/zp49i4ULF6Jv377o2LGjdb3WrVtj2bJlGDNmDDiOwzPPPIM333wTLVq0sKZEDAsLs76HNm3a4MEHH8Ts2bPx+eefw2Aw4KmnnsLkyZMp8wohpEnwlosxuF0IBrczzyp6OrXI2oqeU6yzWTdTpUWmSgsAkIkFaBnshfgoXzzUORTeHtSXnDRtzsrmUhPeHmI82rMZJnWLxJ8Xs7DxeBrSCu90UzubpsLZNBWa+ckxoVsEBrYJrnTsSH3iGUN+qQ5qrQFKmRgKmYhazsuxKyi/O+2hM+3atQspKSmYNWuWzXKJRIJdu3Zh5cqVKC0tRWRkJMaNG4eXX37ZZr0rV65ApVJZ/37++edRWlqKOXPmoKioCL1798bvv/9uzVEOmDO6PPXUUxgwYAAEAgHGjRuH//znP3X2HgkhxF1JRAJ0j/FD9xg/LGDNkZRbak23eCW72GZdrYG3/tB/dygZHcK9kRDnj4S4AJf3Y3Vn95qGnTRszsjmUhsSkQAjOoZhWIdQHLyej5+Op+JCxp1sN7cKNHj/z6v45kAyxnYJx8hOofCS1X9LdWX1oFAjgK9cAqUH9TkHAI4xxu692h1r167FpEmTKvQV0+v1+PHHH2ucErGhUavV8Pb2hkqlglLp+n5bAHDy5EnEx8dj0Etr4BfVql72mXzkDxz55nX0fuZThLfpUi/7LEi5gp1vzcSJEyfQtWvXetknaRjsrZcp+RoY67CxobHIK9Hh8A1zgH4ypQh6Y9WfWZSfHAlx/ugV64+2YUpq/brNkWnYqyMVCxHu03AvfOypm2V6EzJVZZU+RxxzPl2Fn46n4uD1fNwd5HmIhRjeMQTjukYgWCmr9PXOdq96IBKYB4Q29eDc4YGeM2fOxIMPPlghrWBxcTFmzpzZZIJyQghp7AIUUozoGIYRHcNQZjDh5K1CazcXSx9Wi5QCDVJuzyrq7SFGjxg/JMT5o1u0b5OdVMQyDbtGb4JSJoZSaE6hZ5mGfdGgltQnn9SJ9uHeaB/ujdQCDTadSMMfF7JgMJnD8zKDCZtPpGPLyXT0bxWESfdFonlQ3bX021sP8kt1UJUZ4C0XQylrmsG5w2dKxlilH1RaWhq8vb2dUihCCCHuxUMsxP3NA3B/8wDwjOFyZjEO3W5Fv5lXarOuqsyAPy9m48+L5llFO0f6WHOi11fLnKs5axp2Qmoj0k+ORYNaYkZCNH45nY5fTmdArTXPX8Az4K/LOfjrcg7io3ww8b5IdGvm69Rg2NF6YOR55JfooC4zwEcudkk3G1eyOyjv0qULOI4Dx3EYMGCAzaBMk8mEmzdv4sEHH6yTQhJCSGPVEPsbCzgObcOUaBumxGO9Y5CpKjO3oCfl43Qls4oeSy7EseRC/Ofv64gL9DR3c4nzR8tgL7d/rzXl7GnYCakNP08JZt4fg8ndo/D7+SxsPpFmHcANACdSinAipQhxgZ6Y2C0S/VsFQiSs/aDQmtYDg8mcSrFIY24595S434BQnme4kKFGgUYPP7kE7cKUENSyjHYH5ZbsJadPn8aQIUOgUNz58CQSCaKjozFu3LhaFYYQR1y6dKle9xcQEICoqKh63Sdp3JzV39jVQr09MLZrBMZ2jUCJzohjNwtw6IZ5VtFire2sokm5pUjKLcX3h1Pg7ylBz1h/JMT5o2uUD6Quni7cmepqGnZCasNDLMSYLuF4qFMY9l3LxY/HUnE1u8T6fFJuKZb9dhmr99/EuK7hGN4xtFbdz2pbDwwmHnnFOuRzeiikIvjKxU65WKitg9fzsGpPEpJySmAwMYiFHOKCFJiXGIeE5gE13q7dn/Srr74KAIiOjsakSZNsspkQUp/KVPkAODzyyCP1ul8PDzkuX75EgTlxisba31ghFaF/6yD0bx0EE89wPkOFg9fN/dDLp2sDgPxSPf53LhP/O5cJablZRXuWm1W0oarradgJqQ2hgEO/VkFIbBmI06lF2Hg8DUduFlifzynWYdWeG1h7+BZGdgzD2K7hCFA4PhmUs+oBY+ZJmUp0RnhKhfD2EEMqcs1F/MHrefj31nMo0RnhK5dAIhRAb+JxKbMY/956Dm+P6VDjwNzhy5/p06fXaEeEOItBUwyAofOUFxAY07pe9qnOTMaRb15HXl4eBeWk1ppKf2OhgEOnCB90ivDBvH5xSMnX4OCNfBxKyqswq6jOyOPg7VSMgHlW0V63W9FjAjwb3KCv+pqGvTGRiQUI9faA3sTDYHkYGWVKqkMcx6FLlC+6RPniZl4pNh5PxV+XcmC8XTlLdSb8eCwVm0+kYWCbYEy8LwLR/vYfs86uB4wxlGiNKNEaIREJ4CUVw1MqrLfWc55nWLUnCSU6I0KUMut5SSYQIkQpQJZah1V7kswTNtWgK4tdQbmvr/0d/wsKCu69EiFOoAiKqrfUj4Q4U1PtbxzlL0eUvxyT74u0zip6MCkfx+6aVRQALmUW41JmMb45kIxgpRQJcQHoFeuHTpE+ELvB7et7ccU07A0dx3HwkAjhAdsWUBPPYDDx0Jt46I3mYF1v5G3GLpDaiwnwxAsPtsas+2Ow9VQ6dpzJQKneXC+NPMPvF7Lw+4Us9Iz1w6RukegY4X3P2LAu64HeyCPfqEN+KSCXiKD0ENV5pqcLGWok5ZTAVy6p8N45joOPXIyknBJcyFCjQ4TjyU/sKv3KlSsd3jAhhJDKUX/jirOKnkkrwsHbg0XvnlU0W63D1lPp2HoqHZ4SIbpFm9Mtdo/xg7eH+2ZncNU07I2NUMBBKBBCdteYA6OJh8HEoDfeDthNPAxGHrxj06+QuwR6STGnbyym9IjC/85mYsvJdOSW3KmTh28U4PCNArQK8cKkbhHo0yKw2kGY9VEPNHojNHojRAIBvGQiKGSiOrl4L9DoYTAxSKrYtlQogIpnKNDU7NxtV1BOXVYIIY2JQACIIIBIyEEiEkDAmdurDTwPo4nBxDMwZr69KuA4CAQc+NvLyjeOcJy5JUgo4MAYrLfc74X6G9uSiAS4L9oP90X7YcEDzXEjtxQHb6dbvJJlO6toqd6EPVdzsedqLgScOR+zpZtLpJ/cRe+gaq6chr2xEwkFEAkBD0nFYN3EGIymOy3sBhOjgN1BCqkIk+6LxNiu4dh9OQcbj6fhRrn0p1eyirH0v5cQ6n0TE+Ij8GD7kAoXThb1VQ+MPI9CjR6FGn2dtJ77ySUQCznoTTxkgorvVWfiIRZw8JPX7Nxdq5JqtVro9bZXA+4yuyUhhFQlwrfugjeeZ9CbzD/+Rt4cCJh48/+NJnP/WOpvXDWOM2cxiAtS4NGezZBfosOhGwU4lJSPEymFNrOK8gw4m6bC2TQVvth7A5G+HtZ0i+3CvMFxcItg2NXTsDc1IqEAIgDSSiIco7VFndn0XW8IXWFclT5VLBRgcLsQDGobjGPJhdh4PBUnU4qsz2eqtPjP39fx7cFkjO4cjlFdwuBbSVBa3/XA0nouFgqgkIrgIal4t8VR7cKUiAtS4FJmMUKUApsuLIwxFGkMaBPqhXZhNYuFHQ7KS0tL8cILL2Djxo3Iz8+v8LzJZKrkVYQQ0jQIBFylLSgWlqB9XmIsXt9xEXklBig9RBALqL9xZfwVUozoGIoRHUOhNZhw4lYhDt3Ix+EbBSgotW0USi0sw0/H0/DT8TTIb/8AG008BBwgEQoaZLpJ4lzm1nUBcFfMaOLvdIMxlOu77i7BujukT+U4Dt1j/NA9xg9Xs4ux8Xga/rmSYx2wrdYasfbwLfx4PBVD2gVjYnwkwn096qVs1TGYLK3n5q5QUpEQHmIhZBKBwxlcBAIO8xLj8O+t55Cl1sFHLoZUKIDOxKNIY4BCKsS8xLga5yt3OCh//vnnsXv3bqxatQqPPvooPv30U6Snp+OLL77AO++8U6NCEEJIU2EJ2ge2DYFcIrLmui018RAJOLQK8cL0XtHo2swXRp6B5xl4xtwmOHAl2V2zil7JKjb3Q7+Rjxu5trOKavQmaPR3GolkIgEuZqjw7h8aPD+kFQXmxIZQUPkgU8tFtN7EQ2fgoTWY7Oqi5kzumD61ZbAXXh7eBo/3jsHmk2n49VwmtAbz56I38thxJhP/PZOJ3i0CMKlbJNrWsOXY2Uw8s7agoxQQCQTwlArhKRXZ3Yqe0DwAb4/pYD13q25fJLUJ9aq/POUWO3bswNq1a9GvXz/MnDkTffr0QfPmzdGsWTOsX78eU6dOrXFhCCGkKUloHoCesf52zQrH8wwGvmJXGBN/p+9sUyLgOLQJVaJNqHlW0SyV9naAnoeTt4pw9yWM9na3lzKDDi9vu4AxXcNwf1wAWoU03llFSe1ZLqJlYiFwe3oWvZGH1miC1mC63aLOwOqor7q7p08N8Zbhqf7NMa1nM2w/k4Gtp9JRqDEAABiAfdfysO9aHjqEKzGxWyR6xfm7VX0z8jxUZTxUZQaIhQIoZWJ4yUT3bOl25NztCIeD8oKCAsTGxgIw9x+3pEDs3bs35s2bV6vCEEJIUyMQcHalzhIIOEir6RZj4hm0BnOgoDWab7/XVaDgjkK8ZRjbNRztw7zxct5ZgOOgM/Ao1Rtx902GMoMJG46kYsORVPh5StAz1g+9Yv0R38y31n1OSeMnEQkgEZkDOMDcl9hgYtAZTdAZeWuw7gwNJX2q0kOMR3o2w8RukfjzYjY2HU9FarnJws6lq3Eu/QKi/OSYEB+BQW2DIRG5V2pTg4lHfqkOhRo9vGTmPugigQBiIVdp6kd7z92OcDgoj42Nxc2bNxEVFYXWrVtj48aN6N69O3bs2AEfHx+nFo4QQoh9hAIOnlIRPG+PbmOMQWe8c9tdZzTVaYueu1Bp9TAxwF8uhkDOgTGGstvBeYnOCIPJ9v0XlOrx67ks/HouCxKRAF2jfKw50f1rMIMhaXo4joNEZM7k5HV7GWN37mhpDSaUGcwBu6P1r6GlT5WIBBjRMRTDOoTgUFI+Nh5Pxbl0tfX5lAINPth5Fd8cuImxXcPxUKcweMncK60pzxhUZQaoyswt/hzHQSTgIBYKIBObB43W1WRFDgflM2fOxJkzZ5CYmIgXX3wRI0eOxCeffAKDwYAPP/ywLspICCGkHJ5n97xtynEcZGLb2+6A+da7pUWvTF///WPr2t3pJjmOg1wihFwiRKBCimKdEcVlBoR4e+BGXolNK7reyFtzMANA6xAv9IrzR0KsP2IDG96sosR1OI6DWMhBfDtloy/M9VZrNKFMbw7S7WlNb6jpUwUcZx3/cTFDjZ+Op2L/tTxrt7JCjQGr9ydj/ZEUDOsQivFdIxDiLat2m3Wpusw2ljshBhMPjd5cdrlECIVUBIlI4NR86A4H5QsXLrT+f+DAgbh8+TJOnDiB5s2bo2PHjk4rGCGEkIoOXs+zDjAymBjEQnMKQXsHGFluvVta9CzdXsoMpkYRpN8r3aTWYEKrUCWWj+uAYq0RR28W3J5VtMBmYCgAXM4qxuWsYqw5kIwgL6k5QI/zR6cIH7e79U7cn0DAQS65kzfb0ppuyZ1umevAaDKPH9EZGkf61LZhSrz+UDukFWqw6UQa/riQbb0g0Rp4bDmZjm2n0pHYMhCT7otEy2Cve2zRuRzNbMMYQ6nOiFKdEYA5Q5SzJjGrdZ7yZs2aoVmzZk4pDCGEkKodvJ6Hf289hxKdEb5yCSRCAfQmHpcyi/Hvrefw9pgODo/8v7vbiyXbhMHEQ2e8/TA0nFS3jkzr7e0hxqC2wRjUNhgGE48zqUU4dKMAB5PykK22nVU0p1iHX05n4JfTGfAQC3FftC8S4vzRI8Yf3nL3uv1OGgZLa3p5d49p0Bt5zO4dgzf/d9Hp09TXtwhfORYObImZCdHYdjoD206lQ601B7Y8A3ZfycXuK7noEuWDSd0icV+0b53fnXK3zDYOB+Umkwlvv/02Pv/8c2RnZ+Pq1auIjY3FK6+8gujoaDz22GN1UU5CCGnSeJ5h1Z4klOiMCFHKrD9WMoEQIUoBstQ6rNqThJ6x/g5nAKisO4xMLLS2pltuu+sMlqwT7j2ItCbTeouFAnSL9kO3aD881T8ON/NKrekWL2XazipaZjBh77U87L2WBwFnnlCkV1wAEuL8EeWGs4qShksiEuDBDqFQeoixak8SrmcXQ6Nn1vSpM26nT9Xfzq3eEPjIJZiREI1J90Xij/NZ2HQiDZkqrfX5UylFOJVShNgAT0zsFoH+rYOc2kXEorrMNv6eEmSrdfh8TxIWDmqFlsGKernwcTgof+utt/Ddd9/h3XffxezZs63L27dvj5UrV1JQTgghdeBChhpJOSXwlUsqtB5xHAcfuRhJOSW4kKF2KCOAPd1h7tx2N7/GEqRrDTxKtEYYefcLBmozrTd3O4CPDVTgkZ7NUFCqx6HbAfqJW4XQ3TWrqDmzhBpf7r2BCF8P9Io1d3NpH+4NYS1TpBEC2JeCz5KDu8xgvoB2965oHmIhRncJx8hOYdh3LQ8/HUvFlew7F8A38krxzu9XsHp/MsZ2DceIjqHWO3rOUFVmG43BhIISHXRGHtdzjHhp67lqL+idyeF3t3btWnz55ZcYMGAAnnjiCevyTp064fLly04tHCGEELMCjR4GE4OkihYjqVAAFc9QoLE/C0NNu8OUD9L9PCUo05usA0g1epO1j6yrOWtabz9PCYZ3DMXwjqHQGUw4mVKEg0n5OHwjH/l3zSqaVliGTSfSsOlEGrxkIvSI8UNCnD+6RftB4cSAgjQ990rBJxSYUyR6lUvVWKo3QV1mgNaNu6AJBRz6tQpEYssAnElTYePxVOtgawDILdHhi703sO7wLYzoGIqxXSMQ6FX7zEiVZbbRGEzIVmlhYgxCAcBMgFjA1Vt3FofPEOnp6WjevHmF5TzPw2AwOKVQhBBCbPnJJRALOehNPGSV5CvXmXiIBRz85PZlYXBmdxgPiRAeEiEAMRhj0N5OQdgYBo7eTSoWolecP3rF+YNnDFezi82t6EkFuJ5bYrNusdaIXZdysOtSDkQCDp0ivK3dXFyZaYI0DRzHQSEVQSEVQWswQa01uHULOsdx6Bzpg86RPkjOL8Wm42nYdSnbmsa0VG/CT8fT8PPJdAxoE4SJ3SIRE1DzAa53Z7ZhYCgo0cHEzN2DGACBgEEmFsFbzNXLRE0OB+Vt27bFvn37Kgzu3Lx5M7p06eK0ghFCCLmjXZgScUEKXMosRohSYNOFhTGGIo0BbUK90M7O6azrqjsMx3HlgnSYW891JpTqjQ2mz6u9BByH1iFKtA5RYub9MchWa3H4Rj4OXM/HmbQim5zoRp7hREoRTqQU4ZPd1xET4ImE29lcaFZRUtes6VFhzvBSrDVnD3HXAD3a3xPPDWmFWfdHY8updGw/k4FSnbm138gz/HEhG39cyEb3GD9M6haBzpE+Dg8KvTuzjc5gHuQuFHAAB/AmBqlICKmYq7eJmhwOypcsWYLp06cjPT0dPM9jy5YtuHLlCtauXYv//ve/dVFGQghp8gQCDvMS4/DvreeQpdbBRy6GVCiAzsSjSGOAQirEvMQ4uwd51kV3mEq3IxJCKhLC11MCE2/OGKEqM8B09zSbjUCwUoZRncMxqnM4NHojjicXWru5WLJMWNzMK8XNvFKsP5ICX7kYvWLNre80qyipa2KhAH6eEvjdrpOWlKgancntxof4K6SY3ScWU7pH4ddzmfj5ZDpyiu9kRjp6swBHbxagVbAXJnaLQN+WgXaP47g7U5NIwIExgAODiTc/71duAGh9TNTkcFA+atQo7NixA0uXLoWnpyeWLFmCrl27YseOHRg0aFBdlJEQQgjMg73eHtPBOjBTdTunbptQL7vzlFs4uzuMPYQCDj5yCZQyMdSNODgHALlEhL4tA9G3ZSBMPMPFDDUO3cjHwaR8pBRobNYt1Bjw6/ks/Hq+/Kyi/ugZ648AmlWU1CGblKgKQGsw3c7B7V4BuqdUhAndIjGmSzh2X8nFxuOpSMottT5/JbsYb/zvEkL23cT4+AgM7RACDzsubstnarqRe2cyMalICD+FBPJy26iPiZpqNOqkT58+2Llzp7PLQggh5B7sycJgD2d3h3GE4HZw7u0hhkZvQkm5iTgaI+HtAXodIrwxp28s0go1OJRkDtDPpauqmVX0GloFeyEhzh99WwUizFtGs4qSOmXp5uKvADR6Iwo1Breap0AkFGBQ22AMbBOEE7cK8dPxNJy4VWh9PkutxSe7r2PtoWQ81DkMY7qEw/ceDQuWTE1Xs0vw4c4ryFbrEKyUQuCCiZpoKDghhDQw98rCYO82nNkdpiY47k4rnaWfq7umWHSmCF85JnSTY0K3SKjLDDiaXIBDSfk4erMApXfNKnoluxhXsoux5mAy/DwlmNgtEs8PaVWn3wupW5XNC+CO36dl9tEyvXlMiDt1b+E4zjqvwPWcEvx0LBW7r+RYL3DVWiPWHU7BT8dSMaRdCCbERyCymjkEzONDzHccP9x5FfkumqjJ7mzsvr6+8PPzu+fDEdHR0eA4rsJj/vz5NusxxjB06FBwHIdt27ZVu83s7GzMmDEDYWFhkMvlePDBB3Ht2jWbdfr161dhn+XTOxJCSFNg6Q7TJtQLGp0ROSU6aHRGtAn1qtHsoLVh6eca6eeBEG+ZdaBoY6f0EGNgm2C8MqIttjyZgPfHd8TYLuEIrSQ7S0GpHhuO3ML0NUdx8HqeC0pLauvg9TxMX3MUc78/jn9tPIO53x93++/TQyJEgEKKSD8P+CukEAmcP5FPbTQPUuCl4W2w7vEeGNc1HDLxnfIZTAz/PZuJGWuO4ZVfzuN8uqrabVm6s8QGKqDVG5Gv0UOrNyI2UFEvs3va3VK+cuVK6/8ZY5g3bx6WLl2KoKCgGu/82LFjMJnutAqcP38egwYNwoQJEyrs255bdowxjB49GmKxGL/88guUSiU+/PBDDBw4EBcvXoSn551bDrNnz8bSpUutf8vlNAsbIaTpcVZ3GGfhOM7aQqfWGlBQonebvOd1TSwUoGszX3Rt5ov5/ePw+/ksfLH3Bkr1Jmvfez9PyT3zyBP3VNN5AdwFx3Hw9hBDKRNBVWZAocbgVjP7hihlmN+/Oab1aoYdZzKx5VQ6Cm7PI8AAHLhuzozULkyJSd0ikdDcv9JW79pMPFZbdgfl06dPt/n7//7v/zBu3DjExsbWeOeBgYE2f7/zzjuIi4tDYmKiddnp06fxwQcf4Pjx4wgNDa12e9euXcPhw4dx/vx5tGvXDgCwatUqhISE4IcffsDjjz9uXVculyMkJKTGZSeEkMbCGd1h6oJSJoZMJES2Wuu2qdvqCgPw95VcCAUcYgPk4HnAwDN4ycRQSEUO5ZEnrufMeQFczZwyVQIPiRA5ap3b1U0vmRhTekRhfHwEdl3KxsbjaTaDqy9kqLFk+wVE+HpgYrcIDGoTDOldg0KdNfGYo9zmHoRer8e6deswa9Ys68Gq0WgwZcoUfPrpp3YF0DqdOU2OTHbntp9AIIBUKsX+/ftt1l2/fj0CAgLQvn17LF68GBqN7Wj4yratVqttHoQQ16J62fhJRAJE+HogwEta4YezMbt7CnCRUABvD/NMjXfnkXdHVDdtOTIvQEMhFQkR6SdHkFIGcRWpVV1JIhJgWIdQfDOjG94a3R4d72p4SCssw4c7r2HK10fw/aFbUJW5fgJMt/kUt23bhqKiIsyYMcO6bOHChUhISMCoUaPs2kbr1q0RFRWFxYsXo7CwEHq9HsuXL0daWhoyMzOt602ZMgXr1q3D7t27sXjxYnz//fd45JFHqt32smXL4O3tbX1ERkbW6H0SQpyH6mXTwHEclDIxwn08EKyUObVPK88YrmaV4FhyAa5mlbhNVxnLFOBiYeWtplKhAAYn5JGvK1Q3bdkzL4A7f5/l8TzDuTQV9lzNxbk0FeRiISJ8PawXje5GwHHoFeePlZM649MpXdC3ZQDK34wo1Biw5mAyHv7yMD7++zqyVFqXldVtsq+sXr0aQ4cORVhYGABg+/bt+Pvvv3Hq1Cm7tyEWi7FlyxY89thj8PPzg1AoxMCBAzF06FCbfk9z5syx/r9Dhw4IDQ3FgAEDkJSUhLi4uEq3vXjxYixatMj6t1qtvudJJiUlBXl59Td449KlS/W2L1I/6vsYAoCAgABERUXV6z5rytF62VCyHpCqeUpF8BALkV+qR7G2di1bp1IKseFoKlLzS80BsIBDpL8npnSPrPMBXfdy9xTgd6uLPPLOVJPfzMbMFfMC1IWD1/Os8yQYTOaLxrgghXWeBLlYiINJ+cgr1dVrX2x7tQlV4rWR7ZBeWIZNJ9Lw+4Us60zDWiOPrafS8cvpdCS2DMSk+yLRMtirXstnd1BevnIB5u4mb731Fry9bW8HfPjhhw4X4tatW9i1axe2bNliXfb3338jKSkJPj4+NuuOGzcOffr0wT///FPptuLj43H69GmoVCro9XoEBgaiR48e6NatW5X779GjBwDg+vXrVQblUqkUUqn9kzikpKSgdes2KCurvltMXTDo3P9Km9ybq44hDw85Ll++1CACc0fq5b1+TIhjXHmBIxBwCPSSwlMqRF6xvkZp2k6lFOLDnVeh0ZuglImhFJoD4Bu5Jfhw59V6ybRQnbunAOdQf3nkncHR38zGzpXzAjjLvQaqTu0Rhb3X8nA9uxh6E4NQwCHST17ri1yeMacPugz39cAzA1tgRkIz/HI6A1tPpVtn3eUZsPtKLnZfyUXnSB9M7BaBHjF+9TJHgN1B+d0t1gkJCbhx44bNspoWeM2aNQgKCsLw4cOty1588UWbgZmAuVV7xYoVGDly5D23ablYuHbtGo4fP4433nijynVPnz4NAPccSOqIvLw8lJVp0GPWq1CGRjttu9XJPHcI57d/CaOx8U7C0ZS44hhSZybjyDevIy8vr0EE5fZq6FkP3I27XODIJSJE+AqRpdZC68AEJzxj2HA0FRq9ySbglYo4BCgkyCvRY8PRVHSK9HFZK9/dU4ArPcQQCbh6zSNPnMcd5gWojXsNVE0t1OCDnVfhKRHCz1NqPcfezCut1UVuXd/N8pFLMD0hGpPui8QfF7Kw6UQaMorudF85nVqE06lFiPaXY9J9kXigdVCd9p+3OyjfvXt3nRSA53msWbMG06dPh0h0pzghISGVDu6MiopCTEyM9e/WrVtj2bJlGDNmDABg06ZNCAwMRFRUFM6dO4enn34ao0ePxuDBgwEASUlJ2LBhA4YNGwZ/f3+cPXsWCxcuRN++fdGxY0envz9laDT8olo5fbuVUWcm18t+SP2qz2OoMWpMWQ/cgbtd4AgEHEKUMmQXa1Gmty8wv3sQZXkcOHjJxEjNL8X17FKXZGCwKD8FeGqBBhq9CWIBhzahXnSHpwGyzAtguaBV3Q4yG8L3Wd1AVXCA3sigN/II9/aA7PaAbJlAiDBvGTJVWmw8nubwRW593s2SiYUY1TkcIzqG4cD1PPx4LBWXs4qtzyfna7D89ytYvf8mxnaNwIiOoVBInd8D3OV9ynft2oWUlBTMmjWrRq+/cuUKVKo7yeAzMzOxaNEiZGdnIzQ0FNOmTcMrr7xifV4ikWDXrl1YuXIlSktLERkZiXHjxuHll1+u9XshhLgfR7IeuGNaQHfirhc4AgGHUG8PlOlNKNYaUKo3VZs/2TKIUlnFIEqJkEMxY1BpXd8V0JIz+Va+BiKhgMZCNHDuNi+AvaobqKrV8zCYTOA4Dqa76h3HcfD1lCC1QIMSrQkxAZ4o0Ruhu8edLVfdzRIKOPRtGYg+LQJwLl2Fn46l4dCNfOvzeSV6fLn3BtYdvoURHUMxrmsE/BXO66blcFB+d99yC47jIJPJ0Lx5c4waNcru2T0HDx5sd/L5yta7e9mCBQuwYMGCKrcRGRmJPXv22LU/QkjDZ0/WA1UDyXrgau5+geMhEcJDIgRjDKV6E0p1RpTqKnbnu9cgSr2JQcxx8Ja5x6A7AcehdagS4T4eri4KcQJ3nRegOtUNVDXyPBgDBBwqzYxkOceqtAZ4y8XwlouhNZiQV6KzDrK8m6vvZnEch44RPugY4YNb+aXYdDwNOy9lw2Ayx5wavQkbj6fh55PpGNYhBPP7N0frkNqPB3A4KD916hROnjwJk8mEVq3Mt9SvXr0KoVCI1q1b47PPPsOzzz6L/fv3o23btrUuICGE1EZjyXrgDhrKBQ7HcVBIRVBIRSjRGZFbrLNpwKl2ECUYirUGxAYq0DzYs7LNE9LkVDdQVchxYDDPSFt+inuLys6xMrEQ4T4eKCjVV5of3J3uZjXz98S/hrTCzPujsfVUOrafyUTJ7Yt9E8+w40wmdpzJxOrp3TCgTXCt9uVwb/VRo0Zh4MCByMjIwIkTJ3DixAmkpaVh0KBBePjhh5Geno6+ffti4cKFtSoYIYQ4g+XHpLIpoS1ZD+KCFG6d9cBdlL/AqYyzL3DuzofM847nEFdIRQj1lsFDcueCzDKIUi4RIq9ED62RB88YtEYeeSV6yCVCTOke6Vap3AhxJctAVYVUiCy1DmUGE3ieocxggkprgEQkgKiSi/W7z7Hl6/T5dDV85RIEK2UQ3tV9p/zdrMq44m6Wv0KKx/vE4sc5PfBkvzgEed3pthKgkOB+J4wJcLil/L333sPOnTuhVN75AfP29sZrr72GwYMH4+mnn8aSJUusAysJIcSVGnrWA3dSn2ndnJnhRSYWItTbw+aWuc0gyvxSFDPzj3xsoMIt8pQT4m6qHqiqRN8WAVh/JKXac+zhG/lV1un7YvyQU6yz9jV357tZcokI4+MjMLpzGPZczcXmk+kY0SHUOsC1NhwOylUqFXJycip0TcnNzbVOo+vj4wO9nvpnEkLcQ0POeuBO6usCp64yvFhumeeVmCcesgyidHYOZEIaq+oGqrYL867yHAvgnnW6V5y/tTvL3SlBvWRiSIQc9CZzQO4Od7NEQgEGtAnGhG6RkEuckzfF4a2MGjUKs2bNwgcffID77rsPAHDs2DH861//wujRowEAR48eRcuWLZ1SQEIIcYaGmvXA3dT1BU5dZ3jhOPPEQwBQrDX/+Lsy7SEhDU1VA1WrOscCwPQ1R+2q0/4KKTwkQuQW6xrM3SyO4yAROSd3ucNB+RdffIGFCxdi8uTJ1klqRCIRpk+fjhUrVgAw5w7/+uuvnVJAQghxloaY9cAd1eUFTn1leAn0Mk9wUqDR250BjBBSvcrOsefSVA7VablEhHAfAXJuB+ZN6W6Ww0G5QqHAV199hRUrVlhn9IyNjYVCcaeloXPnzk4rICGEEPdTVxc49ZnhxVsuhlQsQLZaC1MNBpESQu6tJnVaJBQgzMcDKo0BBRp9k7mb5XB7+7p166DRaKBQKNCxY0d07NjRJiAnhBBCaqq+M7zIxEKE+XjU6dTZhDRltanT3nIxQr1lTaZ+OvwuFy5ciKCgIEyZMgW//vorTCb7pjUmhBBC7sUVKSzFQgHCfTzgWQfTZhPS1NW2TlsunH3kkkbbbcXC4aA8MzMTP/74IziOw8SJExEaGor58+fj4MGDdVE+QgghTUh1+ZCz1Lo6S2EpEHAIVsrg7ymt0O+VEFJzzqjTQgEHP08JIv3kTst04o4cDspFIhFGjBiB9evXIycnBytWrEBycjL69++PuLi4uigjIYSQJsSS4aVNqBc0OiNySnTQ6IxoE+pV43SI9mpqt8sJqQ/OqtNCAYcQbxn8PBvnDMy1utyQy+UYMmQICgsLcevWLVy6dMlZ5SKEENKEuTKFpUwsRISvB4o0BhSVVbzlTghxnDPrtI9cAqlIiJzixjVIu0ZBuUajwdatW7F+/Xr89ddfiIyMxMMPP4zNmzc7u3yEEEKaKFemsOQ4Dr6eEihkIhSU6lGqM7qkHIQ0Js6s0x4S82Rg2eVmAm3oHL4/N3nyZAQFBWHhwoWIjY3FP//8g+vXr+ONN96w5i0nhBBCGgOxUIBgpQyBXtJGP8iMkIZGJBQgzFsGbw+xq4viFA63lAuFQmzcuBFDhgyBUChEcXExvvzyS6xevRrHjx+nbCyEEEIaHS+ZGEIBhyyV1tVFIYSUw3GcdSbQvGI9jHzlqRcbAoeD8vXr1wMA9u7di9WrV+Pnn39GWFgYxo4di08++cTpBSSEEELcgVwigp+nBAWltZ+4iBDiXHKJCOG+QuSX6lCibZg9NxwKyrOysvDtt99i9erVUKvVmDhxInQ6HbZt24a2bdvWVRkJIYQQt+Ajl0Bv4hvsjz4hjZlQwCHISwa5xIj8El2DGwRqd5/ykSNHolWrVjhz5gxWrlyJjIwMfPzxx3VZNkIIIcTtBCqkkImFri4GIaQKCqkIEb5yeHuIG9S8A3a3lP/2229YsGAB5s2bhxYtWtRlmQghhBC3xXEcQpQyFJUZoKKUiYS4JaHA3NfcSyZGfqkOZXr3H/Nod0v5/v37UVxcjPj4ePTo0QOffPIJ8vLy6rJshBBCiFsSWGYY9PVo1DMMEtLQSUQChHp7IEgpg7Ae5jmoDbuD8p49e+Krr75CZmYm5s6dix9//BFhYWHgeR47d+5EcXFxXZaTEEIIcTsioQAh3pQykRB3p5CKEOkrh9KN0yc6nKfc09MTs2bNwv79+3Hu3Dk8++yzeOeddxAUFISHHnqoLspICCGEuDUvmRhhPh6QiBz+WSWE1BOBgEOAQoowHw+Ihe5XV2tVolatWuHdd99FWloafvjhB2eViRBCCGlwJCIBwn084CVz35Y4QgggEwsR4YZdz5xSGqFQiNGjR2P06NHO2BwhbuvSpUuNcl+EEOfgOA6BXlLIxALklehpECghborjOIR4y5BbrEOx1uDq4gBwUlBOSGNXpsoHwOGRRx6p930bdDRRCSENjZdMDKlIiGy1FgZTw51hkJDGLtBLCqGAQ5HG9b+1FJQTYgeDphgAQ+cpLyAwpnW97DPz3CGc3/4ljEaapISQhsjSnSWvAc8wSEhT4OcpgVDAIb9E59JyUFBOiAMUQVHwi2pVL/tSZybXy34IIXVHcHuGQZnYgHzqzkKI2/L2EEMo4JBbrHNZPXXp0NPo6GhwHFfhMX/+fJv1GGMYOnQoOI7Dtm3bqt1mdnY2ZsyYgbCwMMjlcjz44IO4du2azTparRbz58+Hv78/FAoFxo0bh+zsbGe/PUIIIQQAoJSJEeYjc8uMD4QQM4VUhBClzGXpTV16djh27BgyMzOtj507dwIAJkyYYLPeypUr7ZomlTGG0aNH48aNG/jll19w6tQpNGvWDAMHDkRpaal1vYULF2LHjh3YtGkT9uzZg4yMDIwdO9a5b44QQggpRyoSItzHAwop3aQmxF15SIQIddEFtEvPDIGBgTZ/v/POO4iLi0NiYqJ12enTp/HBBx/g+PHjCA0NrXZ7165dw+HDh3H+/Hm0a9cOALBq1SqEhITghx9+wOOPPw6VSoXVq1djw4YNeOCBBwAAa9asQZs2bXD48GH07NnTye+SEEIIMRMIOAQpZZBqDMgvdW3/VUJI5aQic8rEQo2hXgeAus19NL1ej3Xr1mHWrFnWVnGNRoMpU6bg008/RUhIyD23odOZT3Aymcy6TCAQQCqVYv/+/QCAEydOwGAwYODAgdZ1WrdujaioKBw6dKjabavVapsHIcS1qF6ShspbLkaAl9TVxagzVDdJQ8dxHPw8JfU6KZjbBOXbtm1DUVERZsyYYV22cOFCJCQkYNSoUXZtwxJcL168GIWFhdDr9Vi+fDnS0tKQmZkJAMjKyoJEIoGPj4/Na4ODg5GVlVXltpctWwZvb2/rIzIy0uH3SAhxLqqXpCFTysTwVzTOwJzqJmksZGJztzNfucSurtS14TZB+erVqzF06FCEhYUBALZv346///4bK1eutHsbYrEYW7ZswdWrV+Hn5we5XI7du3dj6NChEAhq91YXL14MlUplfaSmptZqe4SQ2qN6SRo6bw8x/D0bX2BOdZM0JhzHwddTgnAfD0jFwjrbj1uMNrl16xZ27dqFLVu2WJf9/fffSEpKqtCiPW7cuP9n787jo6rP/YF/zjmzr1mHJCRhSdjBBYoItqB1AbVV0GtrcddaLxe1gte20p/Xqrdie6vW3vbSDbEbpddbsYt1t2AtKAgiiwgmCEnIvs1k9jPnnN8fkwyEJDCTzGRmks/79cpL58ycme+EnDnPfM/zfR587nOfw5YtW/p9rjlz5mDPnj1wu90Ih8MoLCzEvHnz8JnPfAYAUFRUhHA4jM7Ozl7P3dTUdNoUGaPRCKNx5H1wEmUzHpc0Ejgteqiaho4MaF6SLDw2aSTq6T3Q6Q+jwy8nvXRiRsyUb9iwAS6XC1deeWVs27e+9S3s3bsXe/bsif0AwNNPP40NGzac8TmdTicKCwvxySef4P3334+lwMyZMwd6vR5vvvlm7LGHDh1CTU0N5s+fn9w3RkREFIdcqwFOsz7dwyCiOORYDCjJMSV91jztM+WqqmLDhg245ZZboNOdGE5RUVG/M9fl5eWYMGFC7PbUqVOxdu1aLFu2DADw/PPPo7CwEOXl5di3bx++/vWvY+nSpbjssssARIP1O+64A6tXr0ZeXh4cDgfuuecezJ8/n5VXiIgobfJtRmgAPAE53UMhojPoKXEaUdSkPWfag/I33ngDNTU1uP322we1/6FDh+B2u2O3GxoasHr1ajQ1NaG4uBg333wzHnrooV77PP300xBFEddeey1CoRAWL16M//mf/xnS+yAiIhqqgu6FnwzMibKDLon1zNMelF922WVx5+T097hTt91777249957T/s8JpMJP/nJT/CTn/wk/oESERENgwKbESa9hDZvCIqannbfRDT80h6UExERJYuqajhQ70G7P4w8iwEzShwQxb5lzOJ9XLrYjDqYdCJavCEEwkq6h0NZZKQcA6MRg3IiIhoRtlW1Yt3WalQ3eyErGvSSgAqXDSsWVWBBZUHCj0s3nSSi2GmG2y/DF46keziUBUbaMTDaZET1FSIioqHYVtWKNZv34WCDB1ajDi67EVajDgcburBm8z5sq2pN6HGZxGnRY4zDdOYH0qg2ko+B0YJBORERZTVV1bBuazW8oQiKHCaY9BJEUYBJL6HIYYQ3pGDd1mpEImpcj1MzMI9bYloBncZoOAZGAwblRESU1Q7Ue1Dd7O23DbYgCMix6FHd7MVf9jbE9bgD9Z7hHD7RkPEYGBkYlBMRUVZr94chKxoMA5QmM0oiZFXD8U5/XI9rH0GdNWl04DEwMjAoJyKirJZnMUAvCQgP0MQjpKjQiwLG5ljielyexZDK4RIlHY+BkYFBORERZbUZJQ5UuGzo8Mt9eldomoZOv4wKlw1fPKs4rsfNKHEM5/CJhozHwMjAoJyIiLKaKApYsagCNqOERk8IAVmBqmoIyAoaPSHYjBJWLKqATifG9TjWaqZsw2NgZGBQTkREWW9BZQEeXzYL04rt8IciaPaG4A9FMK3YjseXzYrVXo73cUTZhsdA9mPzICIiGhEWVBbg/In5Z+xSGO/jiLINj4HsxqCciIhGDFEUMKvUmbTHEWUbHgPZi+krRERERERpxqCciIiIiCjNmL4ySD2lhDye/rteeb1eAIC77gjUiDIsY/I2H4+OqfEojEYjX5OvmbCuxmPR1/Z6B/zb7mG32/t0hEu3Mx2XRCNdJh6XAI9NoniOTUE7tVAlxaWurg5lZWXpHgZR2rjdbjgcmVXLlscljXbNzc0oLCxM9zD64LFJo10850wG5YOkqirq6+uTNivh8XhQVlaG2trajAt00oG/j94y8feRiTNyyT4ukyUT//0yHX9nien5fXV2dsLpzLzFez3HpqZpKC8vHxH/riPtb3QkvZ9MfC/xnJeYvjJIoiiitLQ06c/rcDgy5g8oE/D30Rt/H6eXquMyWfjvlzj+zhKTSV9GT9ZzbPakr4ykf9eR9F6AkfV+su29cKEnEREREVGaMSgnIiIiIkozBuUZwmg04uGHHx62KhuZjr+P3vj7yG7890scf2eJyZbfV7aMMx4j6b0AI+v9ZOt74UJPIiIiIqI040w5EREREVGaMSgnIiIiIkozBuVERERERGnGoJyIiIiIKM0YlBMRERERpRmDciIiIiKiNEtrUL527VrMnTsXdrsdLpcLS5cuxaFDh067z4UXXghBEPr8XHnllb0ed/DgQVx11VVwOp2wWq2YO3cuampqYvcHg0GsXLkS+fn5sNlsuPbaa9HU1JSS90lEREREdDppDcq3bt2KlStX4t1338Xrr78OWZZx2WWXwefzDbjPCy+8gIaGhtjP/v37IUkSrrvuuthjqqur8dnPfhZTp07Fli1bsHfvXjz00EMwmUyxx6xatQp/+ctf8Pzzz2Pr1q2or6/HNddck9L3S0RERETUn4xqHtTS0gKXy4WtW7di4cKFce3zwx/+EP/xH/+BhoYGWK1WAMD1118PvV6P3/zmN/3u43a7UVhYiI0bN+Jf/uVfAAAff/wxpk2bhu3bt+P8889PzhsiIiIiIopDRuWUu91uAEBeXl7c+6xfvx7XX399LCBXVRUvvfQSJk+ejMWLF8PlcmHevHl48cUXY/vs2rULsizjkksuiW2bOnUqysvLsX379n5fJxQKwePxxH7cbjdaWlqQQd9piEYdHpdEmYnHJlHiMiYoV1UV9913Hy644ALMnDkzrn127NiB/fv346tf/WpsW3NzM7xeL5544gksWbIEr732GpYtW4ZrrrkGW7duBQA0NjbCYDAgJyen1/ONGTMGjY2N/b7W2rVr4XQ6Yz85OTlwuVzo6uoa3BsmoiHjcUmUmXhsEiUuY4LylStXYv/+/di0aVPc+6xfvx6zZs3CeeedF9umqioA4Oqrr8aqVatwzjnn4Fvf+ha+8IUv4Kc//emgx/fggw/C7XbHfmprawf9XESUHDwuiTITj02ixOnSPQAAuPvuu/HXv/4Vb7/9NkpLS+Pax+fzYdOmTXj00Ud7bS8oKIBOp8P06dN7bZ82bRreeecdAEBRURHC4TA6Ozt7zZY3NTWhqKio39czGo0wGo0JvCsiSjUel0SZiccmUeLSOlOuaRruvvtubN68GW+99RYmTJgQ977PP/88QqEQbrzxxl7bDQYD5s6d26e04uHDhzFu3DgAwJw5c6DX6/Hmm2/G7j906BBqamowf/78IbwjIiIiIqLEpXWmfOXKldi4cSP+9Kc/wW63x/K5nU4nzGYzAODmm2/G2LFjsXbt2l77rl+/HkuXLkV+fn6f533ggQfw5S9/GQsXLsRFF12EV155BX/5y1+wZcuW2PPfcccdWL16NfLy8uBwOHDPPfdg/vz5rLxCRERERMMurUH5unXrAEQbAp1sw4YNuPXWWwEANTU1EMXeE/qHDh3CO++8g9dee63f5122bBl++tOfYu3atbj33nsxZcoU/PGPf8RnP/vZ2GOefvppiKKIa6+9FqFQCIsXL8b//M//JO/NZRlV1XCg3oN2fxh5FgNmlDggikK6h0VERDSi8HxLA8moOuXZxOPxwOl0wu12w+FwpHs4Q7KtqhXrtlajutkLWdGglwRUuGxYsagCCyoL0j08oriNpOOSaCThsRnF8y2dTsZUX6H02FbVijWb9+FggwdWow4uuxFWow4HG7qwZvM+bKtqTfcQiYiIsh7Pt3QmDMpHMVXVsG5rNbyhCIocJpj0EkRRgEkvochhhDekYN3WaqgqL6YQERENFs+3FI+MKIlI6XGg3oPqZi9yLQYIQu98NkEQkGPRo7rZiwP1HswqdaZplEQ0WDU1NWhtHd7Zt4KCApSXlw/raxJlOp5vKR4Mykexdn8YsqLBIPV/wcQoiXCrGtr94WEeGRENVU1NDaZOnYZAwD+sr2s2W/DxxwcZmBOdhOdbigeD8lEsz2KAXhIQVlSYRKnP/SFFhV4UkGcxpGF0RDQUra2tCAT8mHf7w3AUjx+W1/Q0HMV7zz6C1tZWBuVEJ+H5luLBoHwUm1HiQIXLhoMNXShyiL0uqWmahk6/jGnFdswoGb0r5YmynaN4PPLKp6R7GESjGs+3FA8u9BzFRFHAikUVsBklNHpCCMgKVFVDQFbQ6AnBZpSwYlEF66cSERENAc+3FA8G5aPcgsoCPL5sFqYV2+EPRdDsDcEfimBasR2PL5vFuqlERERJwPMtnQnTVwgLKgtw/sR8dhgjIiJKIZ5v6XQYlBOA6KU1lmEiIiJKLZ5vaSBMXyEiIiIiSjMG5UREREREacagnIiIiIgozRiUExERERGlGYNyIiIiIqI0Y/UVGlaqqrEUFBER0SjD8/+ZMSinYbOtqhXrtlajutkLWdGglwRUuGxYsaiCTROIiIhGKJ7/48P0FRoW26pasWbzPhxs8MBq1MFlN8Jq1OFgQxfWbN6HbVWt6R4iERERJRnP//FjUE4pp6oa1m2thjcUQZHDBJNegigKMOklFDmM8IYUrNtaDVXV0j1UIiJKk6CsoNUbgsJzwYjB839iGJRTyh2o96C62YtciwGC0Dt/TBAE5Fj0qG724kC9J00jJCKidNM0wBOQUdvuR6c/DE1joJbteP5PDINySrl2fxiyosEg9f/nZpREyKqGdn94mEdGRESZRtU0tPvCqOsIIBBW0j0cGgKe/xPDoJxSLs9igF4SEFbUfu8PKSr0ooA8i2GYR0ZERJlKVlQ0uANo9YY4a56leP5PDINySrkZJQ5UuGzo8Mt9Plg1TUOnX0aFy4YZJY40jZCIiDKVJyDjeGcAoQhnzbMNz/+JYVBOKSeKAlYsqoDNKKHRE0JAVqCqGgKygkZPCDajhBWLKlivlIiI+hWOqKjvDKKNs+ZZhef/xDAop2GxoLIAjy+bhWnFdvhDETR7Q/CHIphWbMfjy2axTikREZ2WpmlwB2TUdXDWPJvw/B8/Ng+iYbOgsgDnT8xnRy8iIho0WVHR0BlEkTNaYo8yH8//8WFQTsNKFAXMKnWmexhERJTFVE1DgzuIPIsBDrOuT7k9yjw8/58Z01eIiIgo62iahjZfCMc7AwjKTGeh7MegnIiIiLJWdBFoAM1dQXYDpazG9BUiIiLKet5gBP6QglyrAU6zPt3DIUoYZ8qJiIhoRFA1DW1eprRQdmJQTkRERCNKSFZQ3xntBqoypYWyRFqD8rVr12Lu3Lmw2+1wuVxYunQpDh06dNp9LrzwQgiC0OfnyiuvjD3m1ltv7XP/kiVLej3P+PHj+zzmiSeeSMn7JCIiouHnCcio7fCjKyineyhEZ5TWnPKtW7di5cqVmDt3LiKRCNasWYPLLrsMH330EaxWa7/7vPDCCwiHw7HbbW1tOPvss3Hdddf1etySJUuwYcOG2G2j0djnuR599FHceeedsdt2u32ob4mIiIgyiKJqaOkKoSsYQYHNCIOOSQKUmRIKyj/66CP8+Mc/xvbt29HY2AgAKCoqwvz583H33Xdj+vTpCb34K6+80uv2c889B5fLhV27dmHhwoX97pOXl9fr9qZNm2CxWPoE5UajEUVFRad9fbvdfsbHEBERUfYLygqOdwbgMOmQazGwcQ1lnLiD8pdffhlLly7F7NmzcfXVV2PMmDEAgKamJrz++uuYPXs2/vSnP2Hx4sWDHozb7QbQN/A+nfXr1+P666/vM7O+ZcsWuFwu5Obm4vOf/zz+8z//E/n5+b0e88QTT+Cxxx5DeXk5li9fjlWrVkGn6/9XEgqFEAqFYrc9Hk/cYySi1OBxSZSZMvXY1DQN7oAMX0hBvs0Aq5FF6ChzxP3X+K1vfQvf/OY38eijj/a57zvf+Q6+853v4IEHHhh0UK6qKu677z5ccMEFmDlzZlz77NixA/v378f69et7bV+yZAmuueYaTJgwAdXV1VizZg0uv/xybN++HZIUbcl77733Yvbs2cjLy8O2bdvw4IMPoqGhAU899VS/r7V27Vo88sgjg3pvRJQaPC6JMlOmH5sRVUWTJwiLQYd8mwF6iSktlH6CpmlxLUs2m83Ys2cPpkyZ0u/9hw4dwjnnnINAIDCogaxYsQIvv/wy3nnnHZSWlsa1z1133YXt27dj7969p33ckSNHUFFRgTfeeAMXX3xxv4959tlncdddd8Hr9fabf97ft/6ysjK43W44HI64xktEycXjcmC7d+/GnDlzcOm3NyCvvP/P7WRrrzmE1797G3bt2oXZs2cPy2tSZhrMsRkIK2hwDy6GGApBEJBj1iPHoocgMKWF0ifur4bjx4/HSy+9NOD9L730EsaNGzeoQdx9993461//ir///e9xB+Q+nw+bNm3CHXfcccbHTpw4EQUFBaiqqhrwMfPmzUMkEsHRo0f7vd9oNMLhcPT6IaL04nFJlJmy6djUNA0d/jDqOgIIhFnbnNIn7vSVRx99FMuXL8eWLVtwySWX9Mopf/PNN/HKK69g48aNCb24pmm45557sHnzZmzZsgUTJkyIe9/nn38eoVAIN9544xkfW1dXh7a2NhQXFw/4mD179kAURbhcrrjHQERERCODrKhocAdgM+qQa2VKCw2/uIPy6667DmPHjsWPfvQjPPnkk32qr2zZsgXz589P6MVXrlyJjRs34k9/+hPsdnvsOZ1OJ8xmMwDg5ptvxtixY7F27dpe+65fvx5Lly7ts3jT6/XikUcewbXXXouioiJUV1fjG9/4BiorK2P57tu3b8d7772Hiy66CHa7Hdu3b8eqVatw4403Ijc3N6H3QERERCOHNxSBL6zAapTgNOth1EnpHhKNEgktO16wYAEWLFiQtBdft24dgGhDoJNt2LABt956KwCgpqYGotj72+qhQ4fwzjvv4LXXXuvznJIkYe/evfjVr36Fzs5OlJSU4LLLLsNjjz0WyxU3Go3YtGkTvvOd7yAUCmHChAlYtWoVVq9enbT3RkRERNlJ0zR4g5FYlRaHSZ/uIdEoMKhaQG63u9dMudPpHNSLx7PGdMuWLX22TZkyZcB9zWYzXn311dM+5+zZs/Huu+/GNcahCEUUGCSRC0eIiIiykKZpaO0KIRxRkcfa5pRiCSVM/fKXv8T06dORl5eH6dOnY9q0abH/P7UsIQHeYAR1HQH4w5F0D6VfqqphX50bWw+3YF+dG6oaVyEeIiKiUcUTkFHXEYA3lJnn8+HE2CF14p4p/6//+i985zvfwb333ovFixf3Wuj52muv4etf/zo6Ojrw7//+7ykbbDaSFRWN7mgt1DyrIWPa+26rasW6rdWobvZCVjToJQEVLhtWLKrAgsqCdA+PiIgoo0RUFc2eILoMEvKtxow5nw8nxg6pFXdQ/uMf/xgbNmzAl770pV7bp02bhgsvvBBnn302HnjgAQbliH6LPFDvwdE2H/SiiMoxVvjDEQRkBfbu9r5SGi+BbatqxZrN++ANRZBrMcAgiQgrKg42dGHN5n14fNksHlxERET9CIQVHJcDcJr1cJr1aT2fD0VPrNLuDyPPYsCMEsdp03MYO6Re3EF5c3MzZs2aNeD9s2bNQmtra1IGlc1O/hYZiqiQBKAs34rl55Xh3PJceAIyvMEInGY9HGk4mFVVw7qt1fCGIihymGL57iZRQpFDRKMnhHVbq3H+xHzmzhEREfVD0zR0+sNwB2Q4zXrkZlnjoURnvBk7DI+4r73MnTsXTzzxBCKRvvlUiqLge9/7HubOnZvUwWWbnm+RBxs8sBp1KLAaYDbocKTFi6deP4wPajoAAGp3o4Kadj9auheQDJcD9R5UN3uRazH0+QARBAE5Fj2qm704UO8ZtjERERFlo57gvMEdREQZvnP5UJwaq7jsRliNutiM97aqvhOsjB2GR0LpK4sXL0ZRUREWLlzYK6f87bffhsFg6LdE4WjR37fIiKLCqBNRYDOg1RvGxh21OLssB2L3H7SmaegKyugKyrAadcixpL4ears/DFnRYBigKYJREuFWNbT7wykdBxER0UgRlBXUdQSQl+HlEwc7483YYXjEPVN+1lln4fDhw3jsscdgt9tx5MgRHDlyBHa7Hf/5n/+Jjz/+GDNnzkzlWDPaab9FQoDdpEdtmw9VTb5+9/eFIjjeEUCbN5TSlcx5FgP0koDwAN/oQ4oKvSggz2JI2RiIiIhGGrW7fOLxzgCCspLu4fRrsDPejB2GR0J1yu12O1asWIEVK1akajxZ60zfIg2SgC5Ngzt4+m+R7oAMX0hBrlUPewq+bc8ocaDCZcPBhi4UOXrXUI9ehpMxrdiOGSWOpL82ERHRSBeSFdR3BmAz6ZBvNWbUQtDBzngzdhgeCTcPamxsxHvvvRdrHlRcXIzzzjsPRUVFSR9cNjn5W6RJ7JuCElY06AUBTtOZv0VGVBUtXaHYAhKbUZe0BSSiKGDFogqs2bwPjZ5QNGVGEhFSVHT6ZdiMElYsquBCDSIioiHwBiPwhxTkWg1wmjMjpeVMscpAM96MHYZH3EG5z+fDXXfdhU2bNkEQBOTl5QEA2tvboWkavvKVr+BnP/sZLBZLygabyU77LRLR3PGJhTZUjrHG/ZzhSDQ47/TLcJj1cJiSE5wvqCzA48tmxVZeu1UNelHAtGI7a40SEREliappaPOG4A1FkG81wKRP7bqxMxnKjDdjh9SLOyj/+te/jh07duCll17CJZdcAkmK/mEpioI333wT99xzD77+9a/jF7/4RcoGm8n6+xYpAQhGVHQFZVgMEpafVxZb5JkIWVHR5g2h0x+OllI06Yf8bXRBZQHOn5ifUI3S00m03ikREdFo0ZPS4jDrkWcxDOr8mIzz7FBnvJMdO1BvcQflf/zjH/HSSy9hwYIFvbZLkoTLLrsMzz77LL7whS+M2qAc6PstsqdO+cRCW6xO+VAoqoZ2X7Quao7ZALtJN6QDQRQFzCp1DmlMADt8ERERxcMTkOELRZBnNSS0biyZ59mhzngnK3agvuIOylVVhcEwcD60wWCAqmZHjc5UOvlb5MkdPQczQz4QRdXQ5guhMxCGw5SeJkQ92OGLiIgofoqqoaUrmtJSYDNCP8Ciyx6pOM9yxjszxV0S8Qtf+AK+9rWv4YMPPuhz3wcffIAVK1bgi1/8YlIHl61EUcCMEgdyLQa4g2FUNfmgaskvc6ioJ5oQtXlDUFJYSrE/p9Y7NekliKIAk15CkcMIb0jBuq3VKS3xSERElI0CYQXHOwJwB+QBHzOY86yqathX58bWwy3YV+ce8BzcM+O9aHIhZpU6GZBngISaBy1fvhxz5sxBbm4uXC4XAKC5uRmdnZ1YvHgxfvzjH6dsoNmk5zLT4cYuhLtXMpflW5OSwtIfTdPgDsjwBCOwm3RwmvVn/OadDInUO+WlLiIiot56FoIGwgoKbAboTjl3J3qeZTppdos7KM/NzcXLL7+Mjz/+GNu3b4+VRCwqKsL8+fMxderUlA0ym5x8mclu0sMuALKi4UiLF0+9fhirL52cksAciAbnnoCMrmAEVqOEHLMBBl3qgnN2+CIiIho6fziCuo5o+cSTK60lcp5lOmn2S7hO+dSpUxmAD+DUy0yKqkFRNRh1AgpsBrR6w9i4oxZnl+UkNcf8VJqmwRuMwBuMwGrURVdX65Jfhmmw9U6JiIiot55Zc09ARq7VAJtRF/d5Nsesxw9eOxSLP3qCepMoocghotETwrqt1Th/Yj7TVDJY0qZROzo68Otf/zpZT5eVTnuZCQLsJj1q23yoavIN25h8oQiOdwTQ6A4mve1vT73TDr8M7ZSc+Z56pxUuGzt8ERERxUlWVDR7gmh0BzFljC2u8yyAuNNcKHMlLSivqanBbbfdlqyny0pnusxkkATImgZ3cPjTOfzhCOo7A2hwB+APR5LynD31Tm1GCY2eEAKyAlXVEJAVNHpC7PBFREQ0SP5wBMfdQdwwrxxWg3ja82xnQD5jmovMdNKMF3f6isdz+m9XXV1dQx5MtjvTZaawokEvCHCa0pfOEQgrCIQV6CURdpMONqOuz8KSRLDDFxERUWpomobJY+xYdelk/O/7dTja6uv3PLuvzs100hEg7qA8JyfntC3eNU1LSgv4bHZq+9qTadDQFZQxsdCGyjHWNI3wBFlR0e4Lo90XhtkQXRRqNgwu75z1TomIiFLnrNIczBzrRG17ABFVQ5HD1Os8e2r8cXI81pPmMq3YznTSJFFVDcGIgnBEhVEnDTp+OlXcQbndbse3v/1tzJs3r9/7P/nkE9x1111JGVS2OrV9rd2kgyREZ8i7gjIsBgnLzytL6SLPwYjOngdg0ktwmvWwGhNe/8sOX0RERCkkCgLG5VsAAHaTHidnmJ8af+RY9DBKIkKKik6/zHTSJAhFopkGvrCC0Elr9PJtRpgxzEH57NmzAQCLFi3q9/6cnJw+ixBGo5PTOQ43diGsqtALAiYW2lJWpzxZgrKCoJy81BYiIiJKvq6gDH84gjyrAXaTHgDTSZNN0zQEZRX+cAT+sAJZSX3X+riD8uXLlyMQCAx4f1FRER5++OGkDCrb9aRzbKtuw/FOP5wmAyrHWDNuhnwgJ6e2WI3R4NxikEZ9ehIREVGmUFQNLV0hdAUjKLAZYdCJTCcdJE3TEFZUhCIqQrKKsKIiHFGHfbI57qD8zjvvPO39Y8aMYVB+ErH722lJjindQxkSXygCXygCSRRgM+pgN+lT2pCIiIiI4heUFdR1+GEz6uDs7kvCdNLTC0dUhCJKNAiPpCcA709CycOyLGPJkiX46U9/ikmTJqVqTJSBFFWDOyDDHZBh1EtwdKe3cPaciIgo/byhCLyhCGxGHXIsqe3onQ0iioqIqkV/lBOz37KiZUQA3p+EgnK9Xo+9e/emaiyUJUKyghZZQbsvDLtJD7tJBz1zz4mIiNLOG4rAF1aiM+fmkX11W1W16Ey3okJRNcjdgXdEzdzA+3QSLrNx4403Yv369XjiiSdSMR7KIoqqodMfRqc/DL0kxvLPR/IHABERUabTtGjVt66gDINOhM2Y/cUbwt3BtxxRo8G3ktmz3oORcFAeiUTw7LPP4o033sCcOXNgtfauuf3UU08lbXA0NKqmoarJB3cwnPLFprKixgJ0k16CzaSD1aCDNIoWl6iqxsU1RESUUcIRFe2RMDr8MvIsBjgt+gEfm+rzWLzP3xOAh2Sl+78q1BEUfA8k4aB8//79sfKIhw8f7nUf84szxwc1Hdi4oxa1bT7I3WWRyvKtw1KWsae0YitCMOml2Az6SA7Qt1W1xspQyYoGvSSgwmVjGSoiIsoImqahzReCJyjDZtTBpJcgiULs6naqz2P9Pf/EQivu+OwEzB6XF0s9CUdGRwDen4SD8r///e+pGAcl0Qc1HXjq9cPwhxU4THo4JAGyouFIixdPvX4Yqy+dPGz10nsC9A5fGE6zHk6zfsTNHm+rasWazfvgDUWQazHAIIkIKyoONnRhzeZ9eHzZLAbmRESUEWRFRYc/HLstCgL2H3fj+698DF84ghyLAQ4xeh47UO/BN/+4F//vymmYX1kAgyRC06KNdDQtui+EnucBJFGAThQhiQIEIHa+3/JxMx760354Q5HuJoUiwpHo8/+/F/cPa1ySyRJv3ditqqoK1dXVWLhwIcxmMzRN40x5BlA1DRt31MIfVlBgM0DoPlqMOgEFNgNavWFs3FGLs8tyhrVuuqpp6PCH4QnKcJr1cJhGRnCuqhrWba2GNxRBkcMUOwZMooQih4hGTwjrtlbj/In5I+L9EhHRyBJRVWzYdhRdoUgsblA1DTpRQL5Vj1ZvGD//x6eocNkSjhtEIfpc//33KnhPen4AMOrEtMYlmSjhjP+2tjZcfPHFmDx5Mq644go0NDQAAO644w7cf//9CT3X2rVrMXfuXNjtdrhcLixduhSHDh067T4XXnghBEHo83PllVfGHnPrrbf2uX/JkiW9nqe9vR033HADHA4HcnJycMcdd8Dr9SY0/tN582ATDjd1DfslmKomH2rbfHCY9LE//B4CBNhNetS2+VDV5BvWcfVQVA3tvjBqO/xo94WHpUNWKh2o96C62Ytci6HPl1JBEJBj0aO62YsD9Z40jZCIiGhgqYwbVE3D4UZvRsclmSThmfJVq1ZBr9ejpqYG06ZNi23/8pe/jNWrV+PJJ5+M+7m2bt2KlStXYu7cuYhEIlizZg0uu+wyfPTRR30WkPZ44YUXEA6fuOzS1taGs88+G9ddd12vxy1ZsgQbNmyI3TYajb3uv+GGG9DQ0IDXX38dsizjtttuw9e+9jVs3Lgx7vEPRFU1fOP/9qLNF0aOWY9zy3MwuzwXc8blosiZ2mZC7mAYsqrBIfX/bdMgCejSNLiD4X7vHy4nV24xGyQ4TPqs7Bra7g9DVjQYBljRbpREuFUN7f70/r6JiDLZb989ho8bPCjJMWPSGBvG5VmyulJINkl13JAtcUkmSDgof+211/Dqq6+itLS01/ZJkybh2LFjCT3XK6+80uv2c889B5fLhV27dmHhwoX97pOXl9fr9qZNm2CxWPoE5UajEUVFRf0+x8GDB/HKK69g586d+MxnPgMA+O///m9cccUV+MEPfoCSkpKE3sepDjV1oc0X/ePqDMj4+6EW/P1QCwCgJMeEOeNyMbs8F+eU5cBpHngV9GA4TQboxWgOuVHXz4pmRYNeEOA0GZL6ukMRCCsIhBXoRBE2ky6r6p7nWQzQSwLCigqTKPW5P6So0IsC8iyZ8/smIso0L+9vwD+r2mK3DToREwusmDzGjkqXDZPH2DChwJo154Zskuq4IRvjknRJOCj3+XywWCx9tre3t/eZjU6U2+0G0DfwPp3169fj+uuv7zOzvmXLFrhcLuTm5uLzn/88/vM//xP5+fkAgO3btyMnJycWkAPAJZdcAlEU8d5772HZsmV9XicUCiEUCsVuezwDpyP4QhGcU5aDvXWdUE/JXqnvDKK+swF/+bABAoBJY2yYXZ6L2eU5mDXWCaO+b2CXiMoxVpTlW3GkxdsrdwsANETrlk4stKFyTP9XItIpoqq9Zs/tJj2sGT57PqPEgQqXDQcbulDkEHuNVdM0dPplTCu2Y0aJI42jHLkSOS6JaPgkcmxqmob9x3vfH46o+LixCx83dsW26UQBE7oD9UljbJjksmFigXXI583RLtVxQzbHJcMt4aD8c5/7HH7961/jscceAxDNm1VVFd///vdx0UUXDXogqqrivvvuwwUXXICZM2fGtc+OHTuwf/9+rF+/vtf2JUuW4JprrsGECRNQXV2NNWvW4PLLL8f27dshSRIaGxvhcrl67aPT6ZCXl4fGxsZ+X2vt2rV45JFH4hrXZ8bn4cWVF+BoqxdbD7did00Hdh3rQF1HoNfjNACHm7w43OTFpp210EsCZo11RoP0cTmY5LInXEZQFAQsP68MT71+GK3eaMdNgyQgrET/8C0GCcvPK8v4xRQ9s+eSGM03y9SmRKIoYMWiCqzZvA+NnhByLHoYJREhRUWnX4bNKGHFogou8kyRRI5LIho+iRybEVXD/ZdNxp7aTuytdePTNh+UU2e0uh/3SbMXnzR7gX3RbaIAjM+3dgfpdkweY0OFywYzA/W4pTpuGClxyXAQtARbIe3fvx8XX3wxZs+ejbfeegtXXXUVDhw4gPb2dvzzn/9ERUXFoAayYsUKvPzyy3jnnXf6pMYM5K677sL27duxd+/e0z7uyJEjqKiowBtvvIGLL74Yjz/+OH71q1/1WVTqcrnwyCOPYMWKFX2eo79v/WVlZXC73XA4+p8FbfOG4A7IsdvNniB21XTig+4gvcMv97tfD7tJh3PKcjBnXC7mlOeiJMcU96xxrzrlWvTS0HDVKU+Vnq5kVmPmpbf0qr/aXReedcpTbzDH5Wixe/duzJkzB5d+ewPyyqcMy2u21xzC69+9Dbt27Yr1s6DRaTDHZiCsoMEdQDii4kirF590T1pVNXtxpDVa2zoeAoDyPEs0UB9jx2SXDZUuG6zGQRecGxVSHTeMxLgEAPJtxqSlIif8Fzpz5kwcPnwYP/7xj2G32+H1enHNNddg5cqVKC4uHtQg7r77bvz1r3/F22+/HXdA7vP5sGnTJjz66KNnfOzEiRNRUFCAqqoqXHzxxSgqKkJzc3Ovx0QiEbS3tw+Yh240GoecnuNymHD5zCJcPrMImqbh01Yfdtd0YtexDnxY14mg3LsSSVcwgn980op/fNIa3d9ujOWjn1uegzzrwPlX55bn4uyynGHr6DkcerqStfvCsBh0yLHoYcqQ2ZAFlQU4f2I+O3oOs2Qcl0SUfEM5Ng06EVOLHJhadCJ4lxUVx9r8ONzUFQ3Wm7twpMWHUKRvBS8NwLF2P461+/HGwRPn+tJcMya5omkvPbnqjiSv68pmqY4bRmJckmwJBeVHjx6NVSu5+uqr8e1vf3tIL65pGu655x5s3rwZW7ZswYQJE+Le9/nnn0coFMKNN954xsfW1dWhra0t9qVh/vz56OzsxK5duzBnzhwAwFtvvQVVVTFv3rzBvZkECYKAiYU2TCy04V/mlEJWVBxs8GB3TSd2H+vAwcauPpfvmrtCeHl/I17eH02xmVhoxZzuVJezxubAbOgdoIqCgMlFtmF5P8PNH47AH47ApJdgN+lgNejSHgCLooBZpc60joGIaCTSSyIqu2e8MSu6TVE11LSfFKg3daGqxdtngqtHXUcAdR2BWOEFACh2mqKBenf6y6QxNuSO4oX5qY4bRnJckgxxB+V///vf8YUvfAGBQDQvWqfT4dlnn40rKB7IypUrsXHjRvzpT3+C3W6P5XM7nU6YzWYAwM0334yxY8di7dq1vfZdv349li5dGlu82cPr9eKRRx7Btddei6KiIlRXV+Mb3/gGKisrsXjxYgDAtGnTsGTJEtx555346U9/ClmWcffdd+P6668fcuWVwdJLIs4qzcFZpTm4dcF4+MMRfFjrxq6aDnxQ04lPW/vW7zzS4sORFh+e31UHnShgeokjFqRPLXKM6Lb2PXo6hrYKYViN0dKKmTJ7TkREqSN1L/ycUGDF4hnRbYqq4XhnAJ80deFwkxefNEcDdl9Y6fc5GtxBNLiDeLv7ijQAFNgMmDwmmp/eE6jnW/v2oiBKtriD8oceegiXXnop1q1bB5PJhP/3//4fvvGNbwwpKF+3bh2AaEOgk23YsAG33norAKCmpgai2Dt/+NChQ3jnnXfw2muv9XlOSZKwd+9e/OpXv0JnZydKSkpw2WWX4bHHHut1Ke13v/sd7r77blx88cUQRRHXXnstfvSjHw36vSSbxaDD/Ip8zK+Ifulo84bwQW001WX3sU60eEO9Hh9RNeytc2NvnRsbtgEWg4SzS3MwZ1wOZo/Lxbg8y4j+QNE0Dd5gBN5gBJIowGyQYDHoYNFLaZ9BJyKi4SGJAsrzLCjPs+DiaWMARBvYNHQG8Ulzd6De1IVPmr3wBCP9PkerN4xWbxu2VZ8o0Zhr0Ufz008K1MfYjSP6vErDL+6Fnjk5Odi2bRumT58OAPD7/XA4HGhqauozWz0aeDweOJ3OhBZ6JoumaajtCEQD9JoO7KnpHHAWoEe+zRBtYFSeg3PLc1FoHz15uEa9BJNOhEkvwcwgfUSL57gcLbjQkzJJPMdmz0LP4aBpGpo8IXzS3J320v3fMxVgOJnDpMOkMfZYjvqkMTaUOOMvyEAjQ1oWeno8HhQUnKgiYbFYYDab4Xa7R2VQnk6CcGImYNm5Y6GoGg43deH9Yx34oKYDB+o9fVapt3nDeP2jJrz+URMAYFyeBbPHReujn12WA9sIXpUekhWEZAXugAxBEGDSizDpJFiMEow6proQEY02giCgyGlCkdOEz02KxjaapqHVG47NqPcE6q3e/jtNeoIR7DoWrabWw2qUojPpJwXqpblmLmakuCQUib366qtwOk8sZFNVFW+++Sb2798f23bVVVclb3QUF0kUMK3YgWnFDtx0/jgEZQX7jrtjqS5VLd4++/SsTN/8wXGIAjC1yBFLdZle7Mi4koPJomlarAZ6hz+ay+8w6WEz6UZFDj4REfVPEAQU2o0otBuxoOLEJGS7LxzLTY8G6l40eoL9PocvpGBPbSf21HbGtpn1Eiq7F5NOdkXLNJbnWXjOoT4SCspvueWWPtvuuuuu2P8LggBFOX0aBaWeSS9h7vg8zB0f7Yza6Q/jg5rOaGWXmg40uHt/mKga8FGDBx81ePCbd2tg0ok4q9SJ2d310ScUjtySRbKios0XQpsvBGN3ekumNioiIqLhl2c1YN6EfMybcCIrwBOQo42MYgtKvTje2X/qTaB7omzfcXdsm1EnoqLQGstPnzzGjvH5FuhG6IQYxSfuoFxV+y8xRJkvx2LARVNduGhqtItpfWcAu2s68P6xaD76qYtdghEVO452YMfR6CW5HLMe55ZHmxjNHpeLIodp2N/DcOhJc+n0h2HQibFOopzNIMpsNTU1aG1tPfMDk6igoADl5eXD+pqUORxmfbSx37gTTW+8oQiqTgnUa9v96G/hXiii4qOGLnzU0BXbppei1WR6OpNOHmPHhAIrJ4lGkZGbSEwDKskxoyTHjC+cVQJV01DV7MXuYx3YXdOJvcfdCJ/SjKEzIOPvh1pitV3H5pgxe1wO5pTn4pyynBHZfCEcUdHmDXU3KorOnlsMUkYt4FFVjc2KaNSrqanB1KnTEAj4h/V1zWYLPv74IAPzJFFVDfuPu3Gk1Zu1TWVsxmgX7nPKcmLbAmElGqg3nyjPeLTNB7WfSF1WNBzu7mL60r7oNkkUMD7fEgvUJ42xoaLQxtK/I1TCQfmvfvUrFBQU4MorrwQAfOMb38DPf/5zTJ8+Hb///e8xbty4pA+SUkcUhO56rHZcf145whEVB+q789FrOnG4qavPh8fxzgCOdwbwlw8bIACYPMYem0mfWeKAcQR9WGiaBl8oAl8oejVBJ4ow6UVYjDqY9VLaZtG3VbVi3dZqVDdHW0/rJQEVLhtWLKrAgsqCMz8B0QjR2tqKQMCPebc/DEfx+GF5TU/DUbz37CNobW1lUJ4EPZ9nnzR1IRRRoRdHRvt1ADAbJMwqdfZqLBeSFRxp9fWqo/5pqw+RfiJ1RdVQ3eJDdYsPrxyIbhMFoDzPclLll2hTJYuB86zZLuF/wccffzxWX3z79u34yU9+gqeffhp//etfsWrVKrzwwgtJHyQNH4NOxLnlubEPwq6gjA9qO/HBsU7squlAXUfvnDkNwKGmLhxq6sKmnbXQSwJmjXVGyy+Oy0Wlyzai0j8iqgpvSIW3O0jXSyIMOhF6SYTUPaujaBokUYBBEqGXhKTnCG6rasWazfvgDUWQazHAIIkIKyoONnRhzeZ9eHzZLAbmNOo4iscPW+lHSp6TP8+cZj1sxuiM8ZEWL556/TBWXzo56wPzUxn1Uqw4Q49wRMXRthOB+uEmL460ePtUUgOi68COtvlxtM0fq6gmABiba+5V9WWSywa7aeRdyR7JEg7Ka2trUVlZCQB48cUXce211+JrX/saLrjggj5NgCj72U16LJxUiIWTCgEATZ5gLNVld01Hn5qusqJ139eJX77zKewmHc4ty4ktGi3JGVk1XGVFhayceb2FIAjQiQL0kghjd810k15M+HehqhrWba2GNxRBkePE79IkSihyiGj0hLBuazXOn5jPVBYiyminfp5pWvQz1agTUGAzoNUbxsYdtTi7LCfrUlkSZdCJsavWQDEAIKKoqGn3x/LTDzd1obrZi2Ck7zlHA1DXEUBdRyCWagoAxU5TNEiPVX+xw2lhoJ6pEg7KbTYb2traUF5ejtdeew2rV68GAJhMJgQCw1P0n9JnjMOEy2cV4/JZxdA0DZ+2+rC7Jtpp9MO6TgTl3h8WXcEI3v6kNdbCeIzDiDnl0QWj55bnINdiSMfbGHaapkFWNMiKCn93yVtBEGDQibEZdVEUIHYH7zqx/xn2A/UeVDd7kWvp2/JZEATkWPSobvbiQL2n1+VSIqJMc+rn2cm9DAUIsJv0qG3zoarJh8lFtjSOND10koiJhTZMLLRhSfc2RdVQ1+HvNaNe1eyFf4AGgg3uIBrcQWw9fCJQd9mNsYovPTPredbRcS7OdAkH5Zdeeim++tWv4txzz8Xhw4dxxRVXAAAOHDiA8ePHJ3t8lMEEQYh9YPzLnFLIioqDDR7sPtaJ94914ONGT5989CZPCH/b34i/7W8EAFQUWmOpLrNKnTCPoHz0M9E0LVbxZSCCIEAUoot9BEHAJ81dCMoq7MboLAqE6MkLADRokAQBIUVFTYc/WgdX6rkX0EkCdKIIRdWgahoi3f/VNODk8gB2k46z7ESUcu3+MGRFg2GAFD+DJKBL0+AO9t+8ZzSSRAHj8q0Yl2/FpdPHAABUTUN9ZwCfNEVn0w83RwP1rlMqq/Vo7gqhuSuEf1a1xbbl2wzRAN11IvWl0G4cUVe2s0HCQflPfvITPPTQQ6ipqcEf//jHWDfPXbt24Stf+UrSB0jZQy+JOKs0B2eV5uDWC8bDF4rgw7pO7D4WTXU52ta3OkLPApbnd9VBJwqYXuLonknPwdQix4jKRx8MTdOgaNHZEQCw6HXQidGylcZYmawTEXUwokICIEFAmy80qNe0GCWIGN2/dyJKvTyLAXpJQFhRYRL7TsiEFQ16QYDTxFnc0xEFAaW5FpTmWmKljzVNQ6MnGAvUe5oedQbkfp+jzRtGm7cd7x5pj23LMetjAXpPnvrJaZOUfAkF5ZFIBD/60Y/wzW9+E6Wlpb3ue+SRR5I6MMp+VqMOCyoKYp3R2ryhWKrL7pqOPq2LI6qGvXVu7K1zY8M2wGqQcHZZTvdMeg7K8yyj/sOgcowVZflWHGnxosBmgHBS8KxBQ1dQxsRCGyrHWNM4SiKiM5tR4kCFy4aDDV0ocvSeLefn2dAIgoBipxnFTjMWTo6uCdM0Da3eMA43RSu+HO6u/NLm6/9KRGdAxs6jHdjZ3bMEiF5JneTqHaiX5JhHfM7/cEkoKNfpdPj+97+Pm2++OVXjoREs32bEpdPH4NLpY6BpGmrbA9hVEw3Q99R2whfqncbhCyvYVt2GbdVt3fsbYvnos8tzUGAzpuNtpJUoCFh+Xhmeev0wWr1h2E16GCQBYSV6ArMYJCw/r4wfkESU8URRwIpFFVizeR8aPSE4zDqIAD/PUkQQBBTajSi0G3HBSRW62ryh7u6kJxaUNnf1f6W1KxiJFXPoYTVIqOxeSNrTobQs1zLqr3QPRsLpKxdffDG2bt3K/PEspmoaqpp8cAfDaWvSIAgCyvMtKM+3YNm5Y6GoGg43deH9Yx3YfawDB+o9fWq2tnnDeO2jJrzWXQJqXL4llupydmkOrMbRUaP13PJcrL50MjbuqEVtmw9dWvQS78RC24io60tEo8eCygI8vmzWiTrlisrPs2GWbzMi32bE+RPzY9vcfjk2k97z3wZ3sN/9fWEFH9a58WGdO7bNpBNRccqM+rg8y6BKBGdCzDJcEo5iLr/8cnzrW9/Cvn37MGfOHFitvS8rXXXVVUkbHCXfBzUdsWBOVrWMadIgiUKsbutN549DQFawr86N3TUd2H2sE1Ut3j77HGvz41ibHy98cByiAEwrPpGPPq3YAX2S64NnknPLc3F2Wc6o+aAiopFrQWUBzp+Yj13HOrK6o+dI4rToMXd8HuaOz4tt6wrKsRn1w01d+KTZ26d3SY9gRMWBeg8O1Hti2/RS9MvW5O4Z9cljbBifb4VBN/C5OlNjllRJOCj/t3/7NwDAU0891ec+QRCgKANXkqD0+qCmA0+9fhj+sAKHSQ+HJGRskwazXsJ5E/Jw3oToB0KnPxyrjb7rWAeaPL0vrakaYh8Av373GEz66KLTOeXRGukTC6wjLh9dFIRRWSaMiEYeURQwc6wT+TYu6sxUdpMes8tzMfukOMEXiqC6xRurpf5JUxdq2v19Kq8B0T4mhxq7cKixC0ADAEAnChhfYO0VqE8ssMKol7IqZkmWhINyVT1zoxTKPKqmYeOOWvjDSq8FgtnSpCHHYsDnp7rw+akuaJqG+s5gNECv6cCemk54Tin9FJRV7Pi0HTs+ja4kz7XocW55LuaU5+DccbkocpjS8TaIiIhGDKtRF6u61iMoKzjS4ovNpn/S5MWnbb5YFbGTRVQNVd0lHIFoqWRRAMblW+EJyPCHI8i3GqDv7uORLTHLYI2OJFxCVZMPtW0+OEz6XhU7gMxs0nC6HDJBEDA214yxuWZ88eyS6GObvdh9LDqLvq/eg/ApHc86/DLe+rgZb33cDAAozTVHv/GPy8G5ZTlsRUxERIMymnKe42HSS5he4sD0EkdsWzii4tPWE4H64aYufNrqg6z0DdRVDfi01Re7XdcZzWU3SAKMumg3bL0k4lirN2NilmQZVFC+detW/OAHP8DBgwcBANOnT8cDDzyAz33uc0kdHCWPOxiGrGpwSP1/UGRSk4ZEc8hEQYi1J77+vHKEIyr217u7Sy924nBjF0497HvaEf/5w3oIACYX2WOpLjNLnKfNcSMiIgJGX87zYBl0IqYU2TGlyB7bJisqjrX5T5pR70J1iw+hSP8ZGWFFQ1iJ4OTCMN9+cR9mjXVG01/G2FHpssFpzt5JtoSD8t/+9re47bbbcM011+Dee+8FAPzzn//ExRdfjOeeew7Lly9P+iBp6Jym6OUfWdFg1PUNzDOlSUMycsgMOrFX3psnIGNPXXd99GOdON7Ze2GKBsTy3DbuqIVBJ2JWiQOzx0U7jVa6bKN61oOIiPoajTnPyaSXRFS6bKh0nZjpVlQNNe1+/ONwK/7wfg1UDQgrarTzdD/afGFsOdyCLYdbYtuKHKZY06NJY6LVX3It2bFWIeGg/Lvf/S6+//3vY9WqVbFt9957L5566ik89thjDMozVDY0nUlV3rvDrMfCSYVYOCnaQKHRE8Tu7ln0D2o60OHv3eEsHFGxq6YTu2o68Yt/fAqHSYdzynNiNdJLnOxoRkQ0mmX7Oq1MJYkCJhRYMS7fgn31bhxp8aLMakJEAYIRBSFZRTCiICirfa6A92j0BNHoCeIfn7TGthXYDNHSjCcF6vlWQ8adyxMOyo8cOYIvfvGLfbZfddVVWLNmTVIGRcmXDU1nhivvvchhwhWzinHFrGIoqoqth1rxQW0Hjrb5Ud3iRVDufenME4zg7cOtePtw9AAf4zD2amKUkyXfwImIKH6iIMCgE2HWSzDoRIQiKiKqCr0o4nBTF+o7/MizGqCXJGiaFgsSNe3M5yvmoZ/eyTFLm0+G3aSHzaiDQacBwWjxhlsWjIdeknC4qQtV3XnqpxZ96NHqDaPVe6IZIRB9jklj7LHKL5PG2DDGbkxroJ5wUF5WVoY333wTlZWVvba/8cYbKCsrS9rAKPkyvenMcOe995cLOK3YgfkT8+ANKnj/WAc+bvT0Ke3U5Anhb/sb8bf90ZXilYU2zB6Xg9nluZhV6oRZLyVlfERENHQ9QZZ2Ug6EThShkwSY9BLMegmSKEAnCuiJxzQtWqbxZNaTmkgHIyoiKmDSSd2P6/1YnSjAH47AqBdRkmNGWFERUTREFBXvHmnDr989hppW5qGfTrwxy4VTolfBNU1Dc1eouzxjV6ye+qlXw3t0+OVeVdoAwGHSYVL3jHpP06PhvDqecFB+//33495778WePXuwYMECANGc8ueeew7PPPNM0gdIyZXJTWeGM+99oFzAo60+NHuCWH3pZNx6wXj4QhF8WNeJ3ceiNdKPtvn7PFdVixdVLV787/t10IkCZvTko5fnYkqRna2GiYhSQBAE6CUBekmEqmlQVA1mvQSLQQe9JEAShV7BlKZpULVoyb0zBVlnOiXmWQzQSwLCigqT2HciJqSoMEgiCmxGmPQSTN2TNduqWvHU64fhDUWQa4me88KKiqOtPjzz5if4f1dOx+xxuQhHVIQiaq8vEqNRIjGLIAgY4zBhjMOEz00qiG1v854I1A83RUs0tnhDffYHolfGd3VXcuthNUrRmXTXicZHpXnmlMRNCQflK1asQFFREZ588kn87//+LwBg2rRp+MMf/oCrr7466QOk5MvUpjPDlfeeSC6g1ajDgooCLKiIHuCt3hB213QvGq3pQJu396x9RNVi7YY3/PMorAYJ55TlxIL0sjxzxuWwERFlGlEQoNeJ0eC6+zOzZ3ZbFKIBd6JVsgRBwAAXYhM2o8SBCpcNBxu6UOQQ+wT/nX4Z04rtmHFSWUBV1bBuazW8oQiKHCdmX82SCJNeQqMnhN+8ewyXTBsDURSgqhoCsgJ/WIGsqFBUDbIy+nrFDDVmybcZMd9mxPyK/Ni2Dn8Yn5wUqFc1e9HgDva7vy+kYE9tJ/bUdsa2mfUSKl1WTBpjx+zyXMwdn4eKQit0Q+wkPqiSiMuWLcOyZcuG9MJEpxquvPeh5K4X2Iy4bPoYXDZ9DDQtukp817HogtE9tZ3whXt3tPWFFfyzug3/7M5jK7AZMGdcbnd1mBzk24wgIqJo5axipxm67tnvTCaKAlYsqsCazfvQ6Akhx6KHURIRUlR0+mXYjBJWLKrolQJzoN6D6mYvci19FxgKgoAcix7VzV4cqPdgVqkToijAatTBajwRqsmKCn9YQSiiQFY0KIqGCJs6JizXYujVNRyIVmrrKc14uCl6BbyuI9Dv/gFZwb7jHuw77sELu48DAN5YvRCVLnu/j49XwkH5xIkTsXPnTuTn5/fa3tnZidmzZ+PIkSNDGhCNbsOR956s3HVBEDAu34px+VZcM3ssFDXaQrhnFv1AvQeRUxLSW71hvHqgCa8eaAIAjMu3YE55tPTiWaXOXh++RESjiSQKMBuyZ03OgsoCPL5sFtZtrUZ1sxfu2NokO1YsqsCCyoJej2/3hyErGgwDfOEwSiLcqoZ2/8DnHr0kwmkWAZyoxa2qGsKKipCsIqREK5SMxhn1oXKY9ZjTXQq5hy8UQVWLtzvtJZqnXtPu71P5xWKQMKFg6BkICUcAR48ehaIofbaHQiEcP358yAOizDScK8VTnfeeqtx1SRRiXcxumj8OAVnB3u589F01HTjS4uuzz7E2P461+fHCB8chCsC0Ykd3ZZccTCt2ZPxsERHRaLagsgDnT8zHgXoP2v1h5FkMmFHi6LNIFIgvD10vCshLsKKXKAowiT1569FgXVU1yKqKoKzCF4owPz1Bp8Y8184eG4tBArKC6mZvLE/901Yfci2GpKwfizso//Of/xz7/1dffRVOpzN2W1EUvPnmmxg/fvyQBzSaRPPbeudNCxAgitFvw6IgQIMW7W5z0orwnuNKFKMpH5IQXTHes+9AwavavaMkCr0eo2pa9HlxYnW6qkWL+EcUFTs+bcevth/FsWFcKZ7KvPfhyl036yXMm5CPeROiV5U6/GF8UBNdMLrrWAeaPL0Xmqha9PLmgXoPfv3uMZj0Is4u7clHz8GEAivz0YmIMowoCphV6jzj4waThz6UMRlFCUadBKdZD03TEIqosSowitr9o2mQI2osPqAzd2k16yXMHOvEzLHRf/N8mxH2JF3ljvtZli5dCiAaSN5yyy297tPr9Rg/fjyefPLJpAxqpDDoRNhMOuhEEZIgQJKiJZdEofu/WVCVY1tVK37w2qEBV4o/dOV0nDsuF3L3gd6zAj6Tpatme67FgM9PdeHzU13QNA31ncFYgP5BbSe6TqmvGpRVvPdpO97rLteUa9Hj3PJogD5nXC5cDlNSx0dERKkzmDz0ZBEEoVcVmFPJioqgrCAgKwiElYw/j6fKYLu0JuvfLO6gXO1eSDBhwgTs3LkTBQUFZ9iD7CY97Cb9mR+YoeJZKf7rd4/h4u6V4j207sBc1aKz8OrJt7u/mYcjKsJp/Hae7prtgiBgbK4ZY3PN+OLZJVBUDVXN3liQvu+4G7LS+3fT4Zfx1sfNeOvjZgBAaa45umB0XA7OLcvJ6r81IqLRINE89OGil0ToJRF2U3RWPSAr8AYjCMijJ0DPhC6tCc+3f/rpp0l78bVr1+KFF17Axx9/DLPZjAULFuB73/sepkyZMuA+F154IbZu3dpn+xVXXIGXXnqpz/Z//dd/xc9+9jM8/fTTuO+++2Lbx48fj2PHjvUZz7e+9a3Bv6ERJtGV4iffp4uz7lTPJbVAWIleWuvumDYcMqlmuyQKmFJkx5QiO75yXjlCsoID9R7squnA7mOdONzU1WdhSV1HAHUdAfz5w3qIAjBpjB1zyqPpLjNLnAmXC+vJofu0zQeXzTRgXiQREQ1eInnoA1FVbUj7n44gCLAYdLAYoiGirKixibSeBaUjseLLcHUVP52Eg/J7770XlZWVuPfee3tt//GPf4yqqir88Ic/jPu5tm7dipUrV2Lu3LmIRCJYs2YNLrvsMnz00UewWvvP533hhRcQDp9YmdzW1oazzz4b1113XZ/Hbt68Ge+++y5KSkr6fa5HH30Ud955Z+y23T60UjYjTTJWip9Jf5fUwhEVwYgSe11PUIYvpKRkkUqm1mw36iXMHpeL2eNygc9FSzXtqY3WR99V04H6zt71VFUNONTYhUONXdi4oxYGnYhZY52xIL3SZTvtl42Tc+hULZp6VeGypXXmZqSpqalBa2vrsL3ewYMHh+210vna6XyfRIMVbx56f7ZVtcZm2mVFg14SUvp53TOLfnJH03BEhT8cgS+sICT3Lf6RjYa7q3h/Eg7K//jHP/Za9NljwYIFeOKJJxIKyl955ZVet5977jm4XC7s2rULCxcu7HefvLy8Xrc3bdoEi8XSJyg/fvw47rnnHrz66qu48sor+30uu92OoqKiuMc72qRqpfiZGHRir1lek16CatXgDUdipZ7CERUfN3SlfYZ7uDjMeiycXIiFk6PthBs9Qew+1oHdNZ3YfawDnYHebYTDEfVEV7J/fAqHSYdzynPwme4a6SU55thjT82hsxokyKqGgw1dWLN5Hx5fNouB+RDV1NRg6tRpCAT6doRNNTmUuhPIqQLuNgACbrzxxmF7zR7D+T5p9EnlzHQitlW1Ys3mfbF1XgZJRFhRh/3zOnqeNiDHAoQiCrqCEXiDkaxeMDqcXcUHknBQ3tbW1qvySg+HwzHkWSC32w2gb+B9OuvXr8f111/fa2ZdVVXcdNNNeOCBBzBjxowB933iiSfw2GOPoby8HMuXL8eqVaug0/X/KwmFQgiFTlTL8Hg8cY8xWw3nSvEzEUUBDpMeMJ2YJahq6oKsaNBJAsYXWHHjvHGYOdaZ1R8K8SpymHDFrGJcMasYqqbh0xZfd6pLB/bWuRGM9L606AlG8PbhVrx9OHqMFjtNmF2ei3PLc/CXD+t75dCJogCTJKLIIaLRE8K6rdU4f2J+RqayZMtx2draikDAj3m3PwxH8fhhec2Gfdux/88/RyQSOfODk0T2dwHQcM7yb6JwwtRhec10vE86s2w5NuMx3DPTAxlonZdJlNL6eW3USTDaJORZDOgKReAJyFlZJ324KrOdTsJBeWVlJV555RXcfffdvba//PLLmDhx4qAHoqoq7rvvPlxwwQWYOXNmXPvs2LED+/fvx/r163tt/973vgedTtcnxeZk9957L2bPno28vDxs27YNDz74IBoaGvDUU0/1+/i1a9fikUceif8NjQDpXCk+kIFmCaqaffjBa4fw3aUzMWd8HnyhCLqy/Ft7vEQheoKocNnwpc+UQVZUfNTgwe7umfKPG7tw6jqdBncQL+1rwEv7GgAA+u7LdRa9BJ2ohyQJp103kCmy7bh0FI9HXvnAa2aSydNwdFhepz82V/moeJ80sGw7NgeSKTPTwODXeQ0XURTgNOvhNOsRiigIhlV0BsJZs1A0XZXZTpZwUL569WrcfffdaGlpwec//3kAwJtvvoknn3wyodSVU61cuRL79+/HO++8E/c+69evx6xZs3DeeefFtu3atQvPPPMMdu/efdqazqtXr479/1lnnQWDwYC77roLa9euhdHYt/X5gw8+2Gsfj8eDsrKyuMearTJppXgkouL7rx5Cuy+MQpsRRl109v7kWYKfvn0Ev6oogMlmRI7FgE5/GJ5gZFQ1TdBL0frmZ5fm4LYLJsAbiuDD2s5oqktNB4619U2hkBUNHX4ZHZBR7w7CatRhfL4lKesGUmm0HpdEmS6Tj814U1EybWZ6ONZ5JYtRF62RbjfpouvCsiT3PN2V2RIOym+//XaEQiF897vfxWOPPQYgWslk3bp1uPnmmwc1iLvvvht//etf8fbbb6O0tDSufXw+HzZt2oRHH3201/Z//OMfaG5uRnl5eWyboii4//778cMf/hBHjx7t9/nmzZuHSCSCo0eP9lv9xWg09husjwbJWCk+VNuqWvH9Vw9hX10nIAgIdPhh1IkotJtgM+r6nSWQRAH5NiMcZj06/TK8odEVnPewGXW4oLIAF3R/gWrpCuGD7kWjOz5th/uUfHQN0UosgiAgGFFSsm4gWUbzcUmUyTL12EwkFSXTZqbTtc5rKERRQI4lmnsejqjdhRsiGT17ns7KbINqQbRixQqsWLECLS0tMJvNsNkGV71C0zTcc8892Lx5M7Zs2YIJEybEve/zzz+PUCjUZ0HRTTfdhEsuuaTXtsWLF+Omm27CbbfdNuDz7dmzB6IowuVyJfYmRomhrBQfqp7Lh+2+6Lf/6BpQAQFZxfGOAMbmmmEz6gacJdBLIgrtRuRa9PCFFXhDkaz4xp4qhXYjLps+BpdNHwNFVfH1TR/i01YvREFAQFagatFAfrjXDRARpVKiqSiZNjOdSeu8BsOgE1FgM6LAZkQoosAdSF1ltaFKV2W2QfcFbWlpwaFDhwAAU6dOHVQzoZUrV2Ljxo3405/+BLvdjsbGRgCA0+mE2RytDnHzzTdj7NixWLt2ba99169fj6VLlyI/P7/X9vz8/D7b9Ho9ioqKYjPg27dvx3vvvYeLLroIdrsd27dvx6pVq3DjjTciNze1lyYoMSdfPiy0GRGQFQDRrqh6EZBVDS1dQVgN1jPOEugkEU6zCKdZD384gnZfGOFI9i1GSSZJFHHHZ8fHqq/kWQ2QBAGaADR6QmlZN0BElGyDSUXJtJnpTFznNVhGnQSXPVpZLXBSJ9FsXCCaTIl1F0E0beT2229HcXExFi5ciIULF6K4uBh33HEH/P7Eyn2tW7cObrcbF154IYqLi2M/f/jDH2KPqampQUNDQ6/9Dh06hHfeeQd33HFHosMHEL2stmnTJixatAgzZszAd7/7XaxatQo///nPB/V8lDonXz40G6M5aoqqQUM0vUInCrHmQ51+GRUuW1yzBBaDDqW5FoxxmKAfYBZktOjJoZtYaENIVuANRyBHVEwrtrMcIhGNCImkovTomZnu8Mt9ZnN7ZqbjPeckS886r2nFdvhDETR7Q/CHIln7eS2KAqxGHQpsRpTlWVDkNCXc+G4kGdRCz61bt+Ivf/kLLrjgAgDAO++8g3vvvRf3338/1q1bF/dzxXPJYsuWLX22TZkyJaHLHafmkc+ePRvvvvtu3PtT+px8+VCAgEK7Ecc7AogoGqKxtAZVA1q8YeRZ9QnNEqiqhiMtPrT7wzDpRBQ7TYhkcJ5bKp2cQ6fXC+zoSUQjymBSUTJ1ZjrV67zSWZO9p5OoOyCjwxceFRXUTjao5kH/93//hwsvvDC27YorroDZbMaXvvSlhIJyojM59fKhzajD2FwzWrpCCEUUqN1B9MRCK76xeErcswQDLfa5bcF4zBjrhD+cmXluqdSTQ1eWZxn1Vw+IaGQZbCpKJlUgO1mq1nllSk12pznayK7dF4Y3NHp6ECQclPv9fowZM6bPdpfLlXD6CtGZ9LewxWbUwWqUEAgpaPWGMKHQhv+7az50cV7yOt1in0f/+hEeXzYLcyfkjeqKLUREI8lQFklmQgWy4ZBJNdmB6Dowl8OEPEVFWFHhDysZX7llqBKeDps/fz4efvhhBIPB2LZAIIBHHnkE8+fPT+rgiHouH9qMEho9oWh1EFVDUFbhDkaQazXgG4unxB2Qn7rYx6SXoh0s9RKKHEZ4QwrWba2GJERTZcbmRCu7EBFR9hroXBKQlbgWtffMTC+aXIhZpc4RF5DHe25U0xAQ6yQRFkM077w8z9LvuoCRIuFo45lnnsHixYtRWlqKs88+GwDw4YcfwmQy4dVXX036AImSefkw0bqzBl30m3quosIdkNE1yhoRERGNFJmaipIJMq0m+0AEQUCu1YAcix5hRUVQVuEPRxAIj4wyxwkH5TNnzsQnn3yC3/3ud/j4448BAF/5yldwww03xMoYEiVbsi4fDrburF6K1lfNHaVdQomIRoLRkoqSqEyryX4mgiDEuoY6zXqEIyo6A+GMrXser0Fdl7dYLLjzzjuTPRai00rGwpah1p3t6RLqNOvR7g/DGxw9C1CIiEaCdDbDy1SZVpM9UQadCJfdBNmiZvV6sISD8rfeegsvvPACjh49CkEQMHHiRFx77bVYuHBhKsZHlFTJ6oimk6IfAA6TgnZfGMFR3CGUiIiyW7Z3C+1xcgdvd0DOuqvaCS30/Nd//Vdccskl+P3vf4+2tja0tLTgt7/9LS666CLcc889qRojUdIMdbHPqUx6CSU5ZoxxmCCN8sufRESUnZJ9bkw3nSQiv3thaI7FkDXn57iD8s2bN2PDhg149tln0draiu3bt+Pdd99FS0sLfvGLX+DnP/85/vznP6dyrJQBVFXDvjo3th5uwb46d1pWYg9VKjqiWY3RDqF2k37ErgonIqKRa6R1CwWiKad5VgPK8ywoyTEjz2qAxaDrc55WNQ2HG73YebQdhxu9aWtaFHf6yoYNG7B69WrceuutvbaLoojbb78dhw4dwvr163HVVVcle4yUITKlqUAypGKxjyRGyyjmWPToGGUND4iIKPuN1IWwghAt72jSR/PlFVWDJyDDE5Tx/tF2bNxRi9o2H+Tuijxl+VYsP68M55bnDus4454p3717N5YtWzbg/ddccw127dqVlEFR5ulpKnCwwQOrUQeX3QirURdrKrCtqjXdQ0xYqurO6rsbHozNNcNiYI1zIiLKHiO9JjsQnUTLtRpQ1+7HM29+giMtXpgNOuRbDTAbdDjS4sVTrx/GBzUdwzquuIPy1tZWlJaWDnh/aWkp2trakjIoyiyZ3FQgkxl1EoqcJpTkmGPfzomIiCj9VFXDT98+An9YwdgcM+wmHQy66Gx6gc0Af1jBxh21w5rKEndQHg6HodfrB7xfp9MhHM6M+pWUXIk0FaC+ehaDuhwm6MSEm+gSERFRkp0a2wiCAEkUYNCJMEjR+ue1bT5UNfmGbUwJXVt/6KGHYLFY+r3P7/cnZUCUebKtqUCmshl1sOgltPnC6ArK6R4OERHRqHW62EYUBVgNOnhDEUQ0FZIoQBmGbIC4g/KFCxfi0KFDZ3wMjTzZ3lQgk4jdi0HtJh3rmxMREaVJPLGNQRIxLs+K8jwL/GEFXcEI/OHUFXGIOyjfsmVLygZBmW2kNBXIJD0pLb5QBO2+MGRFTfeQiIiIRo1EYhtBEGA16mA16hCKKHAHZPhCStIbEzHBlc5opDUVyCTR+uZm5FuNEFnfnIiIaFgMNrYx6iS47CaU51mSXmEt4WdbvXp1v9sFQYDJZEJlZSWuvvpq5OXlDXlwlDl6mgr01Cl3d9fynFZsz8o65ZlEEAQ4LXpYjRI6/DLzzYmIiIbBUGIbSRRQ5DQhksQr3QkH5R988AF2794NRVEwZcoUAMDhw4chSRKmTp2K//mf/8H999+Pd955B9OnT0/aQCn9RmpTgUyhk8RYvnmrN4RwhCktREREqTTU2EY3QBGMwUg4KO+ZBd+wYQMcjmgOsdvtxle/+lV89rOfxZ133only5dj1apVePXVV5M2UMoMPU0FKHVMegmluRa4/TI6/OG0tfslotM7ePDgsL5eQUEBysvLh/U1iUaDTIltEg7K/+u//guvv/56LCAHAKfTie985zu47LLL8PWvfx3/8R//gcsuuyypAyUabZwWPSxGCW3ecEpXexNRYgLuNgACbrzxxmF9XbPZgo8/PsjAnGiESjgod7vdaG5u7pOa0tLSAo8n2jwmJyeHjYSIkkAviShymuANRdDuDSOiMqWFKN1kfxcADecs/yYKJ0wdltf0NBzFe88+gtbWVgblRCPUoNJXbr/9djz55JOYO3cuAGDnzp3493//dyxduhQAsGPHDkyePDmpA6XspKoac9CTgI2HiDKPzVWOvPIp6R4GEaVBKuKbhIPyn/3sZ1i1ahWuv/56RCLRS+o6nQ633HILnn76aQDA1KlT8ctf/nJIA6Pst62qNbaiWVY06CUBFS4bq7UM0smNh1q6QqxtTkRElAapim8SXjJqs9nwi1/8Am1tbfjggw/wwQcfoK2tDT//+c9htVoBAOeccw7OOeecQQ+Kst+2qlas2bwPBxs8sBp1cNmNsBp1ONjQhTWb92FbVWu6h5i1ogtBzcizGno1OyAiIqLUSmV8k3BQ/tvf/hZ+vx82mw1nnXUWzjrrLNhstkEPgEYeVdWwbms1vKEIihwmmPQSRFGASS+hyGGEN6Rg3dZqqCqrigyWIAjIsRhQ7DRBJ7IHGBERUaqlOr5J+Gy+atUquFwuLF++HH/729+gKMqgXphGrgP1HlQ3e5Fr6TuTGw0m9ahu9uJAvSdNIxw5THoJJTkmOM16dgQlIiJKoVTHNwkH5Q0NDdi0aRMEQcCXvvQlFBcXY+XKldi2bdugBkAjT7s/DFnRYBigoL5REiGrGtr9rNCTDDpJRL7NiLI8C2ym5Lb8JSIioqhUxzcJB+U6nQ5f+MIX8Lvf/Q7Nzc14+umncfToUVx00UWoqKgY1CBoZMmzGKCXBIQHWIgYUlToRQF5FsMwj2xkk0QBLrsJJTlm6JPYYYyIiIhSH98M6cxtsViwePFiXH755Zg0aRKOHj06lKejEWJGiQMVLhs6/DK0U7pRapqGTr+MCpcNM0ocAzwDDUXPQtD+Lq8RERHR4KQ6vhlUUO73+/G73/0OV1xxBcaOHYsf/vCHWLZsGQ4cODCoQdDIIooCViyqgM0oodETQkBWoKoaArKCRk8INqOEFYsqWK88hQRBQK7VgLE5Zpj0UrqHQ0RElPVSHd8kHJRff/31cLlcWLVqFSZOnIgtW7agqqoKjz32WKxuOdGCygI8vmwWphXb4Q9F0OwNwR+KYFqxHY8vm8U65cPEoBNRkmNGgd0IiV+CiIiIhiSV8U3Cq8IkScL//u//YvHixZAkCV1dXfj5z3+O9evX4/3330+oGsvatWvxwgsv4OOPP4bZbMaCBQvwve99D1OmDNwh7cILL8TWrVv7bL/iiivw0ksv9dn+r//6r/jZz36Gp59+Gvfdd19se3t7O+655x785S9/gSiKuPbaa/HMM8+wvGMSLagswPkT89nRMwM4THpYDTq0+ULwBvnlmYiIaLBSFd8kHJT/7ne/AwC8/fbbWL9+Pf74xz+ipKQE11xzDX784x8n9Fxbt27FypUrMXfuXEQiEaxZswaXXXYZPvroo1gjolO98MILCIdPrGpta2vD2Wefjeuuu67PYzdv3ox3330XJSUlfe674YYb0NDQgNdffx2yLOO2227D1772NWzcuDGh90CnJ4oCZpU60z0MwomFoHajglYvO4ISERENVirim4SC8sbGRjz33HNYv349PB4PvvSlLyEUCuHFF1/E9OnTE37xV155pdft5557Di6XC7t27cLChQv73ScvL6/X7U2bNsFisfQJyo8fP4577rkHr776Kq688spe9x08eBCvvPIKdu7cic985jMAgP/+7//GFVdcgR/84Af9BvFEI4XZEF0I2uGX4Q70XaxCREREwy/unPIvfvGLmDJlCj788EP88Ic/RH19Pf77v/87qYNxu90A+gbep7N+/Xpcf/31vWbWVVXFTTfdhAceeAAzZszos8/27duRk5MTC8gB4JJLLoEoinjvvff6fZ1QKASPx9PrhyhbCYKAPKsBJTmmrF4IyuOSKDPx2CRKXNxB+csvv4w77rgDjz76KK688kpIUnJP5Kqq4r777sMFF1yAmTNnxrXPjh07sH//fnz1q1/ttf173/sedDod7r333n73a2xshMvl6rVNp9MhLy8PjY2N/e6zdu1aOJ3O2E9ZWVlcYyTKZEadFFsImo0dQXlcEmUmHptEiYs7KH/nnXfQ1dWFOXPmYN68efjxj3+M1tbWpA1k5cqV2L9/PzZt2hT3PuvXr8esWbNw3nnnxbbt2rULzzzzDJ577rmk1mh+8MEH4Xa7Yz+1tbVJe26idHOY9CjNNcNmzK6OoDwuiTITj02ixMUdlJ9//vn4xS9+gYaGBtx1113YtGkTSkpKoKoqXn/9dXR1dQ16EHfffTf++te/4u9//ztKS0vj2sfn82HTpk244447em3/xz/+gebmZpSXl0On00Gn0+HYsWO4//77MX78eABAUVERmpube+0XiUTQ3t6OoqKifl/PaDTC4XD0+iEaSXSSCJfDlFXdQHlcEmUmHptEiUv47Gu1WnH77bfjnXfewb59+3D//ffjiSeegMvlwlVXXZXQc2mahrvvvhubN2/GW2+9hQkTJsS97/PPP49QKIQbb7yx1/abbroJe/fuxZ49e2I/JSUleOCBB/Dqq68CAObPn4/Ozk7s2rUrtt9bb70FVVUxb968hN4DEREREdFQDWlKbMqUKfj+97+Puro6/P73v094/5UrV+K3v/0tNm7cCLvdjsbGRjQ2NiIQCMQec/PNN+PBBx/ss+/69euxdOlS5Ofn99qen5+PmTNn9vrR6/UoKiqK1T+fNm0alixZgjvvvBM7duzAP//5T9x99924/vrrWXmFiIiIiIZdUhJIJUnC0qVLsXTp0oT2W7duHYBoQ6CTbdiwAbfeeisAoKamBqLY+7vDoUOH8M477+C1114b7JDxu9/9DnfffTcuvvjiWPOgH/3oR4N+PiIiIiKiwUrrqq546iNv2bKlz7YpU6YkVFv56NGjfbbl5eWxURARERERZYTsWdFFRERERDRCMSgnIiIiIkozBuVERERERGnGoJyIiIiIKM0YlBMRERERpVl29dQmIkqCmpoatLa2DtvrHTx4cNhei4iIshODciIaVWpqajB16jQEAv5hf205FB721yQiouzAoJyIRpXW1lYEAn7Mu/1hOIrHD8trNuzbjv1//jkikciwvB4REWUfBuVENCo5iscjr3zKsLyWp+HosLwOERFlLy70JCIiIiJKMwblRERERERpxqCciIiIiCjNGJQTEREREaUZg3IiIiIiojRjUE5ERERElGYMyomIiIiI0oxBORERERFRmjEoJyIiIiJKMwblRERERERpxqCciIiIiCjNdOkeAA0/VdVwoN6Ddn8YeRYDZpQ4IIpCuodFREREWYzxxdAwKB9ltlW1Yt3WalQ3eyErGvSSgAqXDSsWVWBBZUG6h0dERERZiPHF0DF9ZRTZVtWKNZv34WCDB1ajDi67EVajDgcburBm8z5sq2pN9xCJiIgoyzC+SA4G5aOEqmpYt7Ua3lAERQ4TTHoJoijApJdQ5DDCG1Kwbms1VFVL91CJiIgoSzC+SB4G5aPEgXoPqpu9yLUYIAi987sEQUCORY/qZi8O1HvSNEIiIiLKNowvkodB+SjR7g9DVjQYpP7/yY2SCFnV0O4PD/PIiIiIKFsxvkgeBuWjRJ7FAL0kIKyo/d4fUlToRQF5FsMwj4yIiIiyFeOL5GFQPkrMKHGgwmVDh1+GpvXO69I0DZ1+GRUuG2aUONI0QiIiIso2jC+Sh0H5KCGKAlYsqoDNKKHRE0JAVqCqGgKygkZPCDajhBWLKlhPlIiIiOLG+CJ5GJSPIgsqC/D4slmYVmyHPxRBszcEfyiCacV2PL5sFuuIEhERUcIYXyQHmweNMgsqC3D+xHx23CIiIqKkYXwxdAzKRyFRFDCr1JnuYRAREdEIwvhiaJi+QkRERESUZgzKiYiIiIjSjOkrg9RT9sfjYYcqGp3sdnuf7m3pFs9x6fV6AQDuuiNQI8qwjMvbfDw6rsajMBqNfE2+ZsK6Go9FX9vrPe3fdyYelwDPmUTxHJuCdmpRSYpLXV0dysrK0j0MorRxu91wODKr7iyPSxrtmpubUVhYmO5h9MFjk0a7eM6ZDMoHSVVV1NfXJ21WwuPxoKysDLW1tRkX6KQDfx+9ZeLvIxNn5JJ9XCZLJv77ZTr+zhLT8/vq7OyE05l5C+16jk1N01BeXj4i/l1H2t/oSHo/mfhe4jkvMX1lkERRRGlpadKf1+FwZMwfUCbg76M3/j5OL1XHZbLw3y9x/J0lJpO+jJ6s59jsSV8ZSf+uI+m9ACPr/WTbe+FCTyIiIiKiNGNQTkRERESUZgzKM4TRaMTDDz88bCv5Mx1/H73x95Hd+O+XOP7OEpMtv69sGWc8RtJ7AUbW+8nW98KFnkREREREacaZciIiIiKiNGNQTkRERESUZgzKiYiIiIjSjEE5EREREVGaMSgnIiIiIkozBuVERERERGnGoJyIiIiIKM0YlBMRERERpRmDciIiIiKiNGNQPkiapsHj8YANUYkyB49LoszEY5PozBiUD1JXVxecTie6urrSPRQi6sbjkigz8dgkOjMG5UREREREacagnIiIiIgozRiUExERERGlmS7dA6CRTVU1HKj3oN0fRp7FgBklDoiikO5hEWUMHiNERAQwKKcU2lbVinVbq1Hd7IWsaNBLAipcNqxYVIEFlQXpHh5R2vEYISKiHkxfoZTYVtWKNZv34WCDB1ajDi67EVajDgcburBm8z5sq2pN9xCJ0orHCBERnYxBOSWdqmpYt7Ua3lAERQ4TTHoJoijApJdQ5DDCG1Kwbms1VJX1aml04jFCRESnYlBOSXeg3oPqZi9yLQYIQu/cWEEQkGPRo7rZiwP1njSNkCi9eIwQEdGpGJRT0rX7w5AVDQap/z8voyRCVjW0+8PDPDKizMBjhIiITsWgnJIuz2KAXhIQVtR+7w8pKvSigDyLYZhHRpQZeIwQEdGpGJRT0s0ocaDCZUOHX4am9c6J1TQNnX4ZFS4bZpQ40jRCovTiMUJERKdiUE5JJ4oCViyqgM0oodETQkBWoKoaArKCRk8INqOEFYsqWIuZRi0eI0REdCoG5ZQSCyoL8PiyWZhWbIc/FEGzNwR/KIJpxXY8vmwWazDTqMdjhIiITsbmQZQyCyoLcP7EfHYrJBoAjxEiIurBoJziMthW4KIoYFapcxhGSJSdMuEYGezxTUREycOgnM6IrcCJRi4e30REmYE55XRabAVONHLx+CYiyhwMymlAbAVONHLx+CYiyiwMymlA/bUC16AhEFbgDUVg1otsBU6UBqqqYV+dG1sPt2BfnXtQgXN/x3cPQRCQY9Hz+CYiGkbMKacBndoK3BuKoKUrhFBEQbTfiQZBEPBOVUvaF6oRjRbJygE/9fg+lVES4VY1tPvDyRo6ERGdBmfKU+jUTn3Z5uRW4N5QBMc7AgjKCkRBgE4SIAgCFFXDr7cfY+4p0TBIZg74ycd3f0KKCr0oIM9iSNbwiYjoNBiUp1CnX0ZXUE73MAbtRCvwMJo9QaiaBp0kQBQEQANUDTDrJYQjKnNPiVIs2TngJ45vuc8EgqZp6PTLqHDZMKPEkYq3Q0REp2BQnkKqpqGlK4R2X3Ze/u1pBa6XRARkBYKA7mBcg6xqkAQBLocJuVYDc0+JUizZOeA9x7fNKKHRE0JAVqCqGgKygkZPCDajhBWLKlivnIhomDAoHwad/jAa3UEoWTiTvKCyADfPHw9JjM6OR1QNqqbBrBcxNtcMm1EHoyRCZu4pUUrFkwOe6HG4oLIAjy+bhWnFdvhDETR7Q/CHIphWbMfjy2axTjkR0TDiQs9h4g9HUN+pwuUwwqiT0j2chHy2sgC/3vYpdJIISRSgE0WY9GJsto65p5RtuoIy7CZ9uoeRkJNzwE1i38+QwR6HCyoLcP7EfHb0JCJKM86UDyNZUdHQGYQvFEn3UBIyo8SByjF2BGQVNqMOZoN0okQic08pC3X4ZBzvDCAUUdI9lLilMgdcFAXMKnVi0eRCzCp1MiAnIkoDBuXDTNU0NHmC6MyiVA/mntJIFJIV1HcG0eYNZUWlJB6HREQjG4PyNGn3heEOZE9lFuae0kikaRrcARl1HQEEwpk/a87jkIho5GJOeRq1eUMQBWRNbitzT2mkkhUVDe4AbCYd8q3G6MLmDMXjkIhoZGJQnmYtXSEoqoacLFkk2ZN7SjQSeYMRBMIK8qyGjP6yzOOQiGjkYfpKBmj3hdHqDaV7GEQEQFGj/QUa3AGEI/13uyQiIko2BuUZwhOQ0egOsismUYYIhBUc7wyg0x/OioWgRESU3RiUZxB/OIJ6dwCywtk5okygaRrafWEc7+RxSUREqZXWoHz8+PEQBKHPz8qVK3s9TtM0XH755RAEAS+++OJpn/PWW2/t83xLliw54+s+8cQTyX57gxKOqKjvDCAoZ34lCKLRIhxRcbwjAE8weyomERFRdknrQs+dO3dCUU4En/v378ell16K6667rtfjfvjDH8aa1cRjyZIl2LBhQ+y20Wjs85hHH30Ud955Z+y23W5PZOgppagaGtxBjHEYYTFwLS5RJlA1Da1dIfhCERTYjNAP0O6eiIhoMNIa8RUWFva6/cQTT6CiogKLFi2KbduzZw+efPJJvP/++yguLo7reY1GI4qKik77GLvdfsbHpJOmaWjyhFBoB2xGBuZEmSIQVlDXEUCexQCnJXMrtBARUXbJmKmecDiM3/72t7j99ttjs+J+vx/Lly/HT37yk4QC6C1btsDlcmHKlClYsWIF2tra+jzmiSeeQH5+Ps4991z813/9FyKRyGmfMxQKwePx9PpJNU3T0OwJwhs6/diIRqt0HJdA9Nhs84VwvDOAUISpZkSnStexSZTNMiYof/HFF9HZ2Ylbb701tm3VqlVYsGABrr766rifZ8mSJfj1r3+NN998E9/73vewdetWXH755b3SZO69915s2rQJf//733HXXXfh8ccfxze+8Y3TPu/atWvhdDpjP2VlZQm/x8Fq6QrBH2ZgTnSqdB6XABCSFdR3BtHmDbFCC9FJ0n1sEmUjQcuQM8nixYthMBjwl7/8BQDw5z//Gffffz8++OAD2Gw2AIAgCNi8eTOWLl0a9/MeOXIEFRUVeOONN3DxxRf3+5hnn30Wd911F7xeb7/550D0W38odKKWuMfjQVlZGdxuNxwOR7/7tHlDcAeSszBMEAQUOUwwG6SkPB/RSDCY4xIAatr8iKjJraail0S4HEYYdTxGiQZ7bBKNZhkxU37s2DG88cYb+OpXvxrb9tZbb6G6uho5OTnQ6XTQ6aJ51ddeey0uvPDCuJ974sSJKCgoQFVV1YCPmTdvHiKRCI4ePTrgY4xGIxwOR6+f4aRpGho9QQTCvFRO1CPdx+XJZEVFfWcQXazQQpRRxyZRtsiIFYQbNmyAy+XClVdeGdv2rW99q1eQDgCzZs3C008/jS9+8YtxP3ddXR3a2tpOu0h0z549EEURLpcr8cEPo+jizyCKnCaY9JyNI8o0mhbtBhpRNORaDekeDhERZZG0B+WqqmLDhg245ZZbYrPhAFBUVNTv4s7y8nJMmDAhdnvq1KlYu3Ytli1bBq/Xi0ceeQTXXnstioqKUF1djW984xuorKzE4sWLAQDbt2/He++9h4suugh2ux3bt2/HqlWrcOONNyI3Nzf1b3iIVE1Do5uBOVEm6/CHEVZUFNqMEMX4y7kSEdHolfag/I033kBNTQ1uv/32Qe1/6NAhuN1uAIAkSdi7dy9+9atfobOzEyUlJbjsssvw2GOPxXLFjUYjNm3ahO985zsIhUKYMGECVq1ahdWrVyftPaUaA3OizOcLRRCSVTgtejhMuoR6LRAR0eiTMQs9s43H44HT6Ry2hZ79kUQBRU4TF5YRdYvnuARSs9DzdCRRgNOsh8Ok58w5jUrxHptEo1lGLPSkwVHU6Ix5ODJ8wQURJU5RNbT7wqhp96PDF2b5RCIi6iPt6Ss0ND2BeZHTBIMuvu9YqqrhQL0H7f4w8iwGzChxcPaOaBiomoYOfxjeUAQFNmNWlzjl5wgRUXIxKB8BIqqKRncQxTkm6KXTB+bbqlqxbms1qpu9kBUNeklAhcuGFYsqsKCyYJhGTDS6yYqKBncAdpMe+VZD1gWz/BwhIkq+QaWvdHZ24pe//CUefPBBtLe3AwB2796N48ePJ3VwFL+IqqKhMwhZGTiVZVtVK9Zs3oeDDR5YjTq47EZYjTocbOjCms37sK2qdRhHTERdQRnHOwMIytnTf4CfI0REqZFwUL53715MnjwZ3/ve9/CDH/wAnZ2dAIAXXngBDz74YLLHRwnoCcz7yzFXVQ3rtlbDG4qgyBGt2iKKAkx6CUUOI7whBeu2VkNVmetKNJyiTYcCaM+CXHN+jhARpU7CQfnq1atx66234pNPPoHJZIptv+KKK/D2228ndXCUuIgavSx+6szbgXoPqpu9yLUY+pRmEwQBORY9qpu9OFDvGc7hElG3Tn8YxzsDCEUyd9acnyNERKmTcFC+c+dO3HXXXX22jx07Fo2NjUkZFA1Nz+JPfzgS29buD0NWNBgGyDk3SiJkVUO7PzxcwySiU4QjKuo7gxlboYWfI0REqZNwUG40GuHx9J0FOXz4MAoLC5MyKBq6ngZDbd4QNE1DnsUAvSQgPEDOeUhRoRcF5FnYGpwonbTuCi11HQH4QpEz7zCM+DlCRJQ6CQflV111FR599FHIcrQpjiAIqKmpwTe/+U1ce+21SR8gDY07IKOuI4CKQisqXDZ0+OU+M3CapqHTL6PCZcOMEjZ1IMoEsqKiyRNEXYcfgXBmpLTMKHHwc4SIKEUSDsqffPJJeL1euFwuBAIBLFq0CJWVlbDb7fjud7+bijHSEMmKikZPEDedPw42o4RGTwgBWYGqagjICho9IdiMElYsqsi60mxEI104El0n0twVhJLmBZSiKGDFogp+jhARpYCgDTJx8Z///Cc+/PBDeL1ezJ49G5dcckmyx5bR4mkZ3OYNwR2Qh3lkp3ewwYPf76jBkRYfZFWDXmR9YRo54m3lXdPmR0TNvk64kigg32aEzZjeFhO96pTzc4TiEO+xSTSaJRyU//rXv8aXv/xlGI3GXtvD4TA2bdqEm2++OakDzFTZGpQDgCgIaOkKwS8r7MRHI8pID8p7WAw65NsMZ2wWlkrs6EmJYFBOdGYJB+WSJKGhoQEul6vX9ra2NrhcLihKZuQ+plo2B+U9nGY9ciwGSDyR0ggxWoJyILqeJ89igNOiT/dQiM6IQTnRmSV8DVTTtD71aQGgrq4OTqczKYOi4eEOyPAEI7CbdMi39q07TESZS9M0tPlC8IYjKLAZYNRJ6R4SERENQdxB+bnnngtBECAIAi6++GLodCd2VRQFn376KZYsWZKSQVLqaJoGT0BGKKJijN0IXRovhxNR4kKygvrOIJxmPXIten65JiLKUnEH5UuXLgUA7NmzB4sXL4bNZovdZzAYMH78eJZEzDCqpqGqyQd3MAynyYDKMVaIA5ywe07sY5xGzrgRZZloOcIwvMEIcqx62I26ERGcM2+diEaTuIPyhx9+GAAwfvx4fPnLX4bJZErZoEaC450BKAM02BgOH9R0YOOOWtS2naiyUpZvxfLzynBueW6/+0RUFQ2dQbgcRlgMqanuwJMsUepEVBWtXSG4/TLyrAZY01ylZSh6VXhRNOil7K3wws89IorHoEsijnZnWrTy1V/txHuftuOqs0uw7NyxyLMOX4e7D2o68NTrh+EPK3CY9NBLAmRFgycow2KQsPrSyQMG5j1yLAbkmPVJPXGMpJMsZabRtNAzHia9hDyrASZ9dl392lbVijWb98EbiiDXYoBBEhFWVHT4ZdiMEh5fNitrPjP4uRfFhZ5EZ5ZwArGiKPjBD36A8847D0VFRcjLy+v1Q8Dhpi68cbAZXcEIfvdeDb7yi3fx1OuHUdfhT/lrq5qGjTtq4Q8r3Yu/RIiCAKNORIHNAH9YwcYdtVDP8F2s0x9GbYcfnf5wUsbVc5I92OCB1aiDy26E1ajDwYYurNm8D9uqWpPyOkR0QlBWUN8ZQF33sRxJ49W7eKmqhnVbq+ENRVDkMMGklyCKAkx6CUUOI7whBeu2VkNNcyOlePBzj4gSkXBQ/sgjj+Cpp57Cl7/8ZbjdbqxevRrXXHMNRFHEd77znRQMMft80uTt1dxDVjT8dW8Dbnl2J77z5wM42OBJ2WtXNflQ2+aDw6SHgN6z3AIE2E161Lb5UNXkO+NzKaqGdl8Yje7gkE6AI+kkS5SNwhEV7b4wajsCaPYEEZQzt3TtgXoPqpu9yLX0rQglCAJyLHpUN3txoD51n6PJwM89IkpUwkH57373O/ziF7/A/fffD51Oh6985Sv45S9/if/4j//Au+++m4oxZp0rzyrGtgc/j3s/X4n8k9JWzqMtZQAAc89JREFUNABvf9KKlRs/wKo/7MG7R9qQ7OwhdzAczSGX+k87MUgCZE2DOxj/DLg/HEFthx9t3hDCkcRn2kbKSZYo22maBm8ogvrOAI53BuALRdI9pD7a/WHIigbDAJWgjJIIWdXQnqSreKnCzz0iSlTCq4AaGxsxa9YsAIDNZoPb7QYAfOELX8BDDz2U3NFlMYdJj1sWjMcVs4rxxsEm/GFnLWo7ArH7P6xz48M6NyYWWPHluWW4aEphUsoROk0G6MVoDrlR1zcwDysa9IIApymxHHdF1eAOyHAHZJj0EhxmPawGKa4KD/GcZN1ZcJIlGklCsoImWYHFoEOBzZAx5VDzLAboJQFhRYVJ7JsLH1JU6MVo46RMxs89IkpUwkF5aWkpGhoaUF5ejoqKCrz22muYPXs2du7cCaPRmIoxZjWDTsQVs4qxZGYRtle34fc7avHRSekrR1p9WPvyx1j/zqf4lzmluHJWMcyGwS/KqhxjRVm+FUdavCiwGXqlsGjQ0BWUMbHQhsox1kG/RlBWEJQV6EQRuVY97KbTdxQcKSdZopEoeiVMgd2kQ45Zn/bgfEaJAxUuGw42dKHIIfb64h8t/ShjWrEdM0oye7EgP/fodGpqatDaOrxrCkKh0LDHaQUFBSgvLx/W18xmCQfly5Ytw5tvvol58+bhnnvuwY033oj169ejpqYGq1atSsUYRwRREHBBZQEuqCzAvjo3Nu2sxfYjbbH7m7tC+J8t1fjNu8dw9TnRii25g/iwFgUBy88rw1OvH0arNwy7SQ+DJCCsRANyi0HC8vPKBqxXnoiIqqKlK4SuYASu0zQeGiknWaKRqqeJmC8UwZju/Od0EUUBKxZVYM3mfWj0hJBj0cMoiQgpKjq7q6+sWFSR8SUF+blHA6mpqcHUqdMQCKS++EMvggAMc8E9s9mCjz8+yMA8TkMuifjuu+9i27ZtmDRpEr74xS8ma1wZL57yTm3eENwBecDn+LTVh/99vxZvHmxG5JTFPgadiMUzxuBLc8owNtec8Ph61SnXoikrPXXKzy7LibupULwkUUChfeD65idKnCn9nmSzqcQZZa4zHZc99aI/bvTAbtQn5W9/pBEEAVaDBKtRB0ucKWqp0KuUYHevhWwrJcjPvRNYEvGE3bt3Y86cOZh3+8NwFI8fltds2Lcd+//8c5yz/JsonDB1WF7T03AU7z37CHbt2oXZs2cPy2tmuyF3ljj//PNx/vnnAwDef/99fOYznxnyoEaLCQVWfHPJVNx+wQT8cXcd/rq3Af5wtCpCOKLiLx824KW9DfjcpEJ8eW4pphbF/0F2bnluv8H3h7Wd+OYf9yXUVCgeiqqh0R1EntWAnH5m+BdUFuDxZbNiJ1l392tPK7Zn1UmWstfJQV5QVqETkZS//ZGmZzGoNxSBJEYrNuVa9MMenC+oLMD5E/OzuukOP/fodBzF45FXPmVYXsvTcBQAYHOVD9trUuISDsq9Xi8kSYLZfGL2ds+ePXjooYfwt7/9DYqSuaW2MlWh3Yh/XVSBG+eNw58/rMcfd9ehwx+dYVc1YOvhFmw93IJzynJw/dwyzB2fG9cJUhQETC6yxW6f2lTI0d1U6EiLF0+9fjiupkJn0u4LoysYQa7V0KssJDAyTrKUnU5tRmM1AGFFTerf/kikqBo6/WH4QhEU2IxDWu8yGKIoYFapc1hfM9n4uUdE8Yp7RU9tbS3mz58Pp9MJp9OJ1atXw+/34+abb8a8efNgtVqxbdu2VI51xLOZdFg+rxy/v/N8rL50MkpPSVvZU9uJb72wD3f+ZhfeONiUUCOQZDUVioesqGj2BFHX4e9Tcq3nJLtociFmlTp5YqKUG6hedCr+9kcqWVHR4A6gtt2PDl8YoQgnXxLBzz0iikfcM+UPPPAAgsEgnnnmGbzwwgt45pln8I9//APz5s1DdXU1SktLUznOUcWgE/GFs4px+cwi/LO6FX/YWYuDDV2x+4+0+PD436IVW66bU4rLZxXDfIaFWYk0FTp5dn0owhEVTZ4g9JIIh0kPu0nHkxENu9PWi07R3/5IJSsqOvxhdPgBvSTCYpBgMehg0otpyz0nIhop4g7K3377bbzwwgs4//zz8aUvfQlFRUW44YYbcN9996VweKObJApYOKkQn6sswN7jbvxhZy3ePdIeu7/JE8KP/16NX28/UbGlv3xu4ERTIcdpmgp1JdhUKF6yoqLNF0KHPwyLUYLDpE9rdQcaXU6uFx1RVLT7wzBIYuxqUSr/9kcyWVHhDqhwB2ToRBFOix4Ok47BORHRIMUdlDc1NWHChAkAAJfLBYvFgssvvzxlA6MTBEHA2aU5OLs0B5+2+vCHnbV48+NmKN0VWzzBCH7zbg3+8H4dLp9RhOs+U4qSnN6pL6lqKpQIVdPgDUbgDUZgMeiQZzXAoMuMhiU0cp1cLzoUUdHkCcXuM+pEGCQRAjSoiTerpW4RVUWbN4R2XxgmvQiLQQerQUp7zXMiomyS0EJPURR7/b/BwKYHw21CgRXfunwqbr9gPP5vdx1e2tuIgHyiYsufPqzHX/bWY+GkQlx/Xhkmj7ED6L+pkAYNIVlDRFXRFYxg8pihNRVKhD8cgT8cgc2kQ67FAD1P3pQiJ9eLPrUCbCgSDdQB4MHN++CyGzGjxNH940RFoZWBZQI0TUMgrCAQVtAGwGbUwWHO7CtjPWUyuQiTiNIt7qBc0zRMnjw5dmnS6/Xi3HPP7RWoA0B7e3t/u1OSuRwm/NuFlbjp/GjFlhd2H+9VsWXL4RZsOdyC2eU5+PLcMnxmXG6vpkJ6SUBXMIJwRIWiAaIAdAVlfFjbOaxVKLzBCHwhBU6zHjlmPU+GlHQnN6Np9YZh1ksIRpR+e2g0d4XQfKgFfz/UAiA6kz61yB4L0qeXOOA0n76DLZ3QU1pRL4lwmPWwGzNrXUmvWuiKBr2UfbXQiWjkiDso37BhQyrHQYNkN+lxw7xxuG5OGV77qBF/2FmH452B2P27azqxu6YTlYU2fHluGb5+8ST88h9HUNXig6oBkgCY9SLsJj1avOG0lIeLdrcLoysoR0spGjLrxE3Z79R60QFZBDQNNrMeBTYjGt1BNLiDffYLRVR8WOfGh3VuALUAgPI8y0mz6Q6U5VnYgOgMZCWa3tLhi64rsRp0sBqH3CZjSE4tk2mQRIQVFQcburBm875R1diHiDJD3J+Kt9xySyrHQUMUrdhSgstnFuOfVa34/c5aHGo8UbGlqsWL7/7tIIocxmjVBL0Eh1kHnSjBqBdi6Syt3jA27qjF2WU5wx5oKKqG1q4Q2oRoXqrDpE9rR0EaWU6uF91fR882bwgH6j3dP2580j17eqqadj9q2v14eX8jgGiKxvSTgvRpRY5hr+edLU5eV6KXootD7cbhXxx6apnMntc3iRKKHCIaPSGs21qN8yfmc4KAiIZNwlMVt9xyC+644w4sXLgwFeOhIZJEAQsnF+Jzkwqwt86N3++sxY5PT6QUNXYvchOFaCCfa9HFSiRmSnm4k/NSBUGArrumtFEvwaQXYdQx4KHB6akX7TTrETllZWe+zYiFkwuxcHIhgOgajcNNXThQ78H+ejc+qvfEUsRO5g1FsOPT9thxJgpARaEtlvIyY6wDY+xGfrk8hayoaO0Kwe2X4TDrYdZLw7bw+7RlMgUBORY9qpu9OFDvyfrmRUSUPRIOyt1uNy655BKMGzcOt912G2655RaMHTs2FWOjIRAEAWeX5eDsshxUt3jxv+/X4a2TKraoGtDul9Hhl+E0R9to6yUx48rDaZoGWdEgKyq83Y2IREGA6aQAnTWSKRUMOhEzxzoxc6wTX0YZNE1DvTuIA8fdONDgwYHjHnza6sOpc+mqBnzS7MUnzV68uKceAJBvM8SC9JklDlS6bFzc3K0ntQWI1j436SWYDRLMeglSimapTy6T2R+jJMKtamj3p/9zUFGjVxcCsoIipyndwyGiFEo4KH/xxRfR0tKC3/zmN/jVr36Fhx9+GJdccgnuuOMOXH311dDruQgq01QU2vBgd8WWX/7jU7z1cXMskNAAdAZkdAZk2I3RPM9Ul0YcKlXTuqu3RG8LggCDToRJJ3YH66k7mdPoJQgCxuaYMTbHjMtmFAEAfKEIPmrw4KPutJeDDR74wn27XbZ5w3j7cCvePtwKIBrwTxlji86kd6e9DNRjYDSRFRWyoqIrKEMQhO7qLbqkXx07uUymSez73CFFhV4UkJfifxNN0xCKqAjKCsIRFbKqxSoEaVr0p+eKjjGDK9gQUXIMaqVNYWEhVq9ejdWrV2P37t3YsGEDbrrpJthsNtx44434t3/7N0yaNCnZY6UhGuMw4cErpqLVG8Khpi7I3ZVXenSFIugKRWA36eAOhqFpWlbMQGuahpCsICQrcAei6QVGvQSbUQebUccAnVLGatRh7vg8zB2fByA6q3mszYf99dFAfX+9G/WdfReQhiMq9h33YN9xT2xbaa65VznGcfmjewGppmnoCsroCsqxGXSjPlpX3iCJQ8r1PrlMZpGj95W26MJzGdOKo1V3kiWiqAjI0bQ8WdWgqtErgEREPYa0/L2hoQGvv/46Xn/9dUiShCuuuAL79u3D9OnT8f3vfx+rVq1K1jgpSURBwM3zx+Gp1w/DF4pAEAR4gxHI6onovCsYwTf/uA+VLhuun1uGRZMLsy6w7QnS233REngWowSLvnczE9YnpmSTRAETC22YWGjDVWeXAADafeFYgP5RvSf6hbifBaR1HQHUdQTw6oEmAIDVKGF68YkgfVqxHRbDmT+yVU1DVZMP7mAYTpOh12LWbHViBj16WxAEWAwSTDoJgghIghBNv4szJ/3kMpmNnhByLHoYJREhRUWnX4bNKGHFoopBfx5omnYiAO9Ov2MATkRnknBQLssy/vznP2PDhg147bXXcNZZZ+G+++7D8uXL4XBEZxU2b96M22+/nUF5hjq3PBerL52MjTtqUdvmg9UkQVWBiKrBf9Kl96pmL/7zpYNY/86nuG5OKZbMLMroJiD90WKpLtF89J4ZtwPH3Vj/z09Zn5hSLs9qwGcnFeCzk6J/V+GIiqpmL/bXu2PVXtp9fXOXfSEFO492YOfRDgDRBaQTCqy9Ul6KnaZes7wf1HTEjmtZ1aAXBZTlW7H8vLJhLXOaapqmwReKwNe9zqSHQSfC2v3FRexZIK7rf83JqWUy3d2/r2nF9oQ/BxQ1GoQHZQWhiIpwRO3TqIqI6EwSDsqLi4uhqiq+8pWvYMeOHTjnnHP6POaiiy5CTk5OEoZHqXJueS7OLsvpNaNW4bLgwzo3/rCzNhYIAECDO4gfvVWFX20/hmXnluDqc8ZmbQMVWVGx49M2PPX6YfjDCnItBuSYRciqNuT6xJx5p3gYdCKmlzgwvTs1QtM0NHqC0dn04x4caPDgSIsX6ikxnaoB1S0+VLf48OcPowtIcy36WJBu0An44646BGQVDpMeDkmArGg40uJNS/+BZEh01j8cURGO9P2C0/Nl3KQXIQoCJDE6s35ymcxEjttgLA1FhaxE0+eIiIYq4aD86aefxnXXXQeTaeBV4Dk5Ofj000+HNDBKPVEQ+pQ9nF2ei9nluahu9mLTzlr8/VBzLDhwB2Q8t+0YNu2oxRWzivEvc0qzrhqAqmnYuKMW/rCCApsBAgRENA2SKKDQZkBzVwg/2VKFeRPyICVQHYOdAWmwBEFAsdOMYqcZF08bAwDwhyP4uKGru8pLtNqLL9Q38Ovwy3inqhXvVLXGtpn0Yvd/JZj1IgpshrT2HxisZM76n5r+0kMnitDrBBQ5TSjNNQOIVmYJR1So3WtqJEGAKPYsutQ4C05EKZNQUC7LMm677Tace+65mDlzZqrGRBmgwmXDt6+chjs+NwH/934d/ravAcFINCcyGFHxwgfH8eKe47hoigtfnluGSld6aponqqrJh9o2Hxwmfaw+O7RosA5EF+590tiFNw42Y2apE0adGM1JP00TI3YGpGSzGHSYPS4Xs8dFg09V03CszR9rbHSg3oO6jkC/+wZlFUFZBRBd9KwXBeh1Ig41erDl4xYsmpL5a0Q+qOmIXc1K5ax/RFURnVjnTDcRpV9ChXL1ej3Ky8uhKMn5ABs/fjwEQejzs3Llyl6P0zQNl19+OQRBwIsvvnja57z11lv7PN+SJUt6Paa9vR033HADHA4HcnJycMcdd8Dr9SblPY00RQ4T7v58JX7/tfNx24LxvdJWVA148+NmfO03u/CN/9uL3cc6Mn4GyR0MR2fdpP6DEoMkQNY0dAbCCMkKPAEZTZ4gatr9aPOGEAgrvd7jqZ0BTXoJohito17kMMIbUrBuazXUU3MRiBIgCgImFFjxhbOK8c0lU/Hr28/D5hUL8NjVM/CV88owocAy4L5y91oRb0jBf/7tIK7+yT/xwPMf4rltR7HzaHus/n+mOPVqllEXTTkx6qKz/v6wgo07amNfpImIRoqE01e+/e1vY82aNfjNb36DvLy8Ib34zp07ewX4+/fvx6WXXorrrruu1+N++MMfJlSab8mSJdiwYUPsttFo7HX/DTfcEKsc0zP7/7WvfQ0bN24c5DvpXzaUE4yX06zHTfPH4brPlOLVA4343/fr0OA+cS34/WMdeP9YByaPiVZs+dykzJyNc5oM0IvRWTejru/4worWb512RdXgDshwB2SIwv9v777jmyr3P4B/zslOM7rpoBRo2bIRZCh6QYaCrMuWi4qoXH/uiRMnOBDUKw5uQb2CiMpwK4hshAIFWigFymiBltKWjnRkfn9/hIaGtjSBpEna7/v16gtycs7Jc07ynHzznOf5PgJUcns+9Mw8A46dK+WZAVmD06tl6J8Yjv6J4RjYJhIvrjkAiUS8OOjQnn7PWsuPwXKTFXuyirAnqwgAIKBqAOmlTC8xwUqfXb9qvZt1kb/MOswYY97gdlD+n//8B8eOHUNMTAzi4+MRFBTk9PzevXtd3ldERITT43nz5iEhIQEDBw50LNu3bx/mz5+P3bt3Izo62qX9KhQKREVF1fpceno6fvvtNyQnJ6NXr14AgA8//BC33XYb3n33XcTExLhc/vqEBsmhkklQbrLAaiNYiWAjwHyxv2IgUsokGNUtFiO6xGDL0fP4elc2juZdustw5JwBr/6Ujmj9CUzoFYdhnZr51aQXic2CEBcWhOPnDY4+5VUI9rzIrSM0SGwWVOc+bNUyPxzNK0WlxQYN2futCrAH4wIACIBcFPxmZkDWeCU2C0KLcI3jcx0CAUQEy8WsIBfKzZCIAirN1hoDSAnA8fwyHM8vw48HcgAAwSqZU5Detpmmwepx1d0s3RXuZvnTrMOMMeYpbgflo0eP9kIxAJPJhK+++gqPP/64o4WmvLwcU6ZMwUcffVRnkF2bjRs3IjIyEiEhIfjHP/6B119/HWFhYQCAHTt2IDg42BGQA8DgwYMhiiJ27tyJMWPG1LpPo9EIo9HoeFxSUlLreoBrWTjMVhuMFhuMZisqLs7mFkgkooCb20ViYNsIpGQXYcWubOw+5Zyx5f0/j+KL7Scxpnss7ugW4xcZW0RBwJTecXhv3RHkG0zQKmWQSwSYrPaAXC2XYErvOJcHw1W1vJusNiiEqt5gl6KeSosNAhHIRiguN0Mpt0980pjuoviSO/WyMavrc20lwGixIVwjx+O3tkX7aB0yckuRdqYYh3Ls6RhLK2t2XymqMGNbZgG2ZRYAAKSigDbNNI4gvVOMDuEaRY3tPOFq72a5qzHmc/cnXDcZc5/bQfnLL7/sjXJgzZo1KCoqwl133eVY9thjj6Ffv34YNWqUy/sZNmwYxo4di1atWiEzMxPPPfcchg8fjh07dkAikSA3NxeRkZFO20ilUoSGhiI3N7fO/c6dOxevvPJKva/vahYOmUSETCJCo7C/BRarDWUmK8qMFlQGUHotQRAcGVuOXczYsrFaxpaiCjOWbj+Jr3dl2TO29GqOKJ1vM7Zcnqe9lOxf8q0jNG5ndnC15b15qAoFZUagzP5cVVo2iShAKhHssxRKRSikEr/s9uOvXK2XTYGrn+tuccHoFhcMwB6Yni6scMqZnlVYXmPflospQ9NzSvHdnjMAgGY6Ba6rljO9dYTGI59dT9zNqk9TyefuS1w3GXPfVc3oWVRUhO+++w6ZmZl46qmnEBoair1796JZs2aIjY29qoIkJSVh+PDhju4jP/zwAzZs2ICUlBS39jNp0iTH/zt37owuXbogISEBGzduxKBBg66qbAAwe/ZsPP74447HJSUliIuLc1rnWrJwSCUi9CoRepXMEaCXmyyoMAVOgJ4YqcELt3fAvQNa4ds99owtxloytvyjvT1jS0KE7/qD1pan/Wpayq625d1GBJuVYLaiKkmGg0wiQiG7mFdZKnF5lsKmyJV62ZS4+7kWBQEtwtRoEabGbZ3t3QOLK8xIzylxtKYfzil1ZF6q7lyJEedK8vDn4TwAgEomQfuLU9N3itGhY7QOWqX7d8c8fTfrcg2V2aWp47rJmPvcDsoPHDiAwYMHQ6/X4+TJk5g5cyZCQ0OxatUqZGVl4csvv3S7EKdOncL69euxatUqx7INGzYgMzOzxiRE48aNw4033oiNGze6tO/WrVsjPDwcx44dw6BBgxAVFYW8vDyndSwWCwoLC6/YRUahUNQYMFrd5Vk4qronKEUJonQickuM+HhTJm5oHVbvxBTVA3SrzT4jZYXZCpvNHsz5e0t6lF6Jh/6RiH/dEI+1+89g1d4zKLl4i9xGwPr0PKxPz0PvliGYeH0cusUF+6Q7R2152q+GJ1vegUs5lQ0Xz5nkYjYXhVR0/MvdX+zqq5dN0bV+rvUqGW5oHYYbWtu7/FmsNmSeL3NKx5hXaqyxXYXZipSsIqRcHEAKAPFhakeXl+tidGgeonLps+vpOlWltnkKAEAhFQI2n7u/4rrJmPvcDsoff/xx3HXXXXj77beh1Wody2+77TZMmTLlqgqxdOlSREZG4vbbb3cse/bZZ3Hvvfc6rde5c2csWLAAI0eOdHnfp0+fRkFBgWOQaN++fVFUVIQ9e/agZ8+eAOw/AGw2G/r06XNV5QeAg2dLkJln8HgWDolozzZQvcXJZLGhuMIMg9Hi1ykI9WoZ/tW3JSb0isNvabn4do9zxpZdJy9g18kLaBelxaTr4zAgMTxgu254quW9NlZb1cBS+2NBECC/mD9dKbP3UZe6MdERY+6QSkS0i9KiXZQWY3vY74SeLzXi4NkSR7eXY3mGWjO9nCoox6mCcvySau8aqFNKHX3SO8Xq0K6ZFso6BpB6o05xZhfGmD9zOyhPTk7Gp59+WmN5bGzsFftk18Vms2Hp0qWYPn06pNJLxYmKiqq15bpFixZo1aqV43H79u0xd+5cjBkzBgaDAa+88grGjRuHqKgoZGZm4umnn0ZiYiKGDh0KAOjQoQOGDRuGmTNn4pNPPoHZbMb//d//YdKkSdeUeaWw3ASzlSCvIzhSSESPZeGQS0VEaBUIDZKj7GIXl/LL8mf7E6VMgtHdYzGyaww2HTmPFcnZOFYtY0tGbile+fEQYoKVmNArDkM7+lfGFld5quW9PkT2ab2rT+0tFS92eZFKoJCJkIoCB+rMayK0CtzcLgI3t7Nn0Ko0W5GRW+oI1A+dLXHcHauupNKCHccLsOO4fQCpRBSQGKlBp2gdrou1t6hHaC+1rnq6TnFmF8aYP3M7KFcoFLWOoj5y5EiNFIeuWL9+PbKysnDPPfe4vS0AZGRkoLi4GAAgkUhw4MABfPHFFygqKkJMTAyGDBmC1157zek22rJly/B///d/GDRoEERRxLhx4/DBBx9c1etXCVXLIZPYs3AoxZoBpdFqg0wUEKq+towB1UlEwd4nUimDzUb2AN1sRaXJBovN/7K5SEQB/2gfiVvaRWDPqQv4JjnbkSsZAM4WVWLh+ksZW0Z1i7mqPqlNkcVmg8VoQ1m1iWAEQYBUtLeqyy4OJJVLRMgkAnd/YR6llEnQNS4YXS8OICUinL5QgYNnS3DoYv/0kwU1B5BabYSM3FJk5JZiVYp9AGmkVuGUjjEhIshjPzAbKrMLY4xdDbeD8jvuuAOvvvoqVq5cCcD+xZ+VlYVnnnkG48aNc7sAQ4YMcbmFt7b1qi9TqVT4/fff691PaGioxycK6hSjQ0KkBuk5pYjSOff5JSIUlZvR4eIgKG8QL+vmUma0wGC0+GULuiAI6NUyFL1ahuLIuVJ8k5yNTUfOOzK2XCg3Y8m2k1i+KwsjukTjnz2aI9LHGVsCERHBbCWYrc4/0ARBgEwiOIJ0uVSERBQgE8V6xzsw5gpBEBAXqkZcqBrDrrPf8TRUWnAwx96Knna2BOk5Jag012w8yCs1Ii/jPP7KOA8AUErFiwNI9Y4BpLqrTK/aEJldGGPsarkdlM+fPx///Oc/ERkZiYqKCgwcOBC5ubno27cv3njjDW+UMSCIooBZAxPw3OpU5JYYEayWQSERYbTaUFRuhkYhwayBCQ0W9AQppAhSSGGzESot9u4t5Uar37Wgt22mxYsjOuLe4gp8u/s0fk3LvZSxxWzDd3vOYHXKWQxqH4kJvZqjtQ8ztjQWRASTherMjR8XqoaMu74wD9MopejTKgx9WtkHkFpt9ownaWdLLgbqxThXUnMAaaXFhn3ZxdiXXexY1iJUXa01XYe4ULVLfc29ndmFMcauhdtBuV6vx7p167B161YcOHAABoMBPXr0wODBg71RvoDSLzEcb47p7MhTXnwx/22HaG2NPOUNRRQFqOVSqOVSQGNvQb9QbvK7yYqi9So8PKgN/tU3HmtSzmLNvksZW6w2wh+HzuGPQ+fQu1UoJl0fh67N9dwFg7EAJhEFtGmmRZtmWozpbh9AWmAwOvKlHzxbjCPnDLDUMoA0q7AcWYXl+DXNPo5Jq5SiY/SlIL19tA6qKwwg9UZmF8YYu1ZuB+XZ2dmIi4vDgAEDMGDAAG+UKaD1SwzHDa3DkHqmGPuyikAC0D0uGJ1jXc+44k1VLegVJqtjkOjl3Rt8KVgtx139W2Ji7zj8mpqLb/dkO7We7TpRiF0nCtH+YsaW/gGcsYUx5ixMo8BNbSNwU1v7+CSTxYYj5+wzkB7MKcHBMyUoqjDX2K600oKdJwqx80QhAEAUgGi9Em0iteifGIbrYvWI1CocP+S9mS2JMcaulttBecuWLTFgwADceeed+Oc//4mQEG5VuNzfxwtcmtXTl1RyCVRye0uSxWpDaaUFpZUWv+neopJJMLaHfbDnxow8rEjORub5Msfzh3NLMefHQ2geosKEXs0xpGMUT7LDWCMjl4q4LlaP6y42ahARzhZX4uCZYke3lxP5Zbi8Ld1GwJmiSpwpqsTGI/a+6eEa+aV0jDE6JEZqOO0hY8yvuB2U7969G8uXL8err76Khx56CMOGDcOdd96JkSNH8kQBuLZZPX1FKhEREiRHsFqGcpPVrwaISkQBgzo0wz/aR2L3qQtYkZztNDnJ6QsVeG/dUSzddhJje8Tijq6csYWxxkoQBMQGqxAbrMKQThcHkBotSM8pwZ/p57DpSL5jTMrl8g0mbDpyHpsuBulyqYh2zbROfdODPZgdizHG3OV2UN69e3d0794db7/9NjZu3Ijly5fjvvvug81mw9ixY7FkyRJvlDMgeHJWT18QBMFpgGiF+VIXl9omBmnosl3fMhTXX8zYsmJXNjYfdc7YkrT1JJbvzLZnbOnZ3CnfMWOscdIopOgZH4KVu09DLZcgLkQJs4VQYbGhwmRFpcUKs7Xm9ctksSH1TDFSz1waQNo8ROVIxdgpRof4MNcGkDLGmCe4HZRXEQQBt9xyC2655RbMmjULM2bMwBdffNGkg3JvzerpC6J4KUAH7JODVJqt9jzoZptPW9HbNtPipZEdcabInrHlt4O5joGrFWYrvt1zGqtSzmBwh0hM6BWHVuGc3oyxxqz6TJ2iIEIhAxQyCYIvpk4sM1lhqDSjd6swnCmqwNG80loD9dMXKnD6QgV+P3gOABCkkKBT9KUgvX201j5onjHGvOCqry6nT5/G8uXLsXz5cqSlpaFv37746KOPPFm2gNOQs3o2NKVMAqVMgmDY+3VWmm0+HygaG6zCo4PbYHq/eKxOOYO1+86itFrGlt8PnsPvB8/hhtb2jC2dYzljC2ONUX0zdapkIsrNAgZ3jMT1LUNhsthwNK/UkTP94NkSFJbVvC6XGa3YdfICdp28AMA+gLR1uMbemh5r7/JS/a4oY4xdC7eD8k8//RTLly/Htm3b0L59e0ydOhVr165FfHy8N8oXUHwxq6cvCILgNFDUaLGiuMKMMqNv+qGHqOW4p38rTL6+BX5Ny8HK3aeRV3opY8vfxwvx9/FCdIzWYdL1ceiXGMa3pBlrRNydqVMuFS+2fusxHvaGhtySSnsqxjP2nOkn8stwea89GwHHzhtw7LwBa/efBQCEBsmd+qW3idTyoHPG2FVxOyh//fXXMXnyZHzwwQfo2rWrN8oUsHw9q6evKKQSRGolMKttuFBugqHSUv9GXqCSSzC2R3Pc0TUGG4+cx4pd2Tiefyljy6GcErz0w8GLGVviMKRjM/7yZKwRuNaZOgVBQLRehWi9CoM7NAMAlJssSM8pdUxsdOhsCcpM1hrbFpaZsOVoPrYczQcAyCRCtQGkenSM0SE0KLAbYhhjDcPtoDwrK4tv1dXB32b1bGgyiYhIrRJ6lRWFZSZU1PIF1hCkEhGDOzTDoPaRSD55ASuSs5xmA7RnbDmCz7efxNju9owtGiX3E7UR4di5MpwoKEOkRolOMbpG+1lll97vxpCn2xszdarl9gGkPePtaX9tRDhVUI6DZ4sdExydvlBRYzuzlZB2sVsMcBoAEBOsdErH2DIsiOdXYIzV4HYkIggCioqKkJSUhPT0dABAx44dMWPGDOj1/j14sSH446yeDU0hlSBar0K5yYLCMt/NHioIAnq3CkXvVqE4nFuCFcnZ2HIk35HTuLDMhP9uPYHlu7Iwoks0xvVouhlbUrIuOGY4tJH99r6/5dZnnlP9/TZfvEbFhQUF9IyW3p6pUxQEtAoPQqvwIIzoEgMAKCo3VZuBtAQZ50prvd6dLarE2aJKrDtkH0CqlkvQodoMpB2iddAouGGAsabuqvKUDx06FCqVCr179wYALFiwAG+++Sb++OMP9OjRw+OFDDRVs3oePFuCwnITQtXyRt/qaLNRjeNVy6VQy+2zhxZXmFFu8k23FgBoH6XDnJGdcOZCBVbuycZvabmO7AvlJitW7j6NVXvPYFCHSEy8Pg4tw5pOxpaUrAt4b90RlJus0CllCJJLYLaRX+fWZ1fv8vdbJ7H3xT5+3oD31h3B47e2DejAvPpMnVVzFpRWmnEk1+DxuwHBajn6J4aj/8X6YbbacCzP4JjYKO1sMQoMNQeQlpus2HPqAvacsg8gFQC0Cg+6OIDU3qIeo+cBpIw1NW4H5Y899hjuuOMOLF68GFKpfXOLxYJ7770Xjz76KDZv3uzxQgYiURT8Pu2hp2w/ln/FGUyrBoUaLVZcKPNtcB4bosJjg9tiet+WWLPPOWOLpVrGlr6tw+wZWxr5e2gjwvJd2Sg3WR19cUVRgFIiBkRufeae2t5vAFBIBYRr5Mg3mLB8Vza6xgUHdFeWtlEapGRdQNLWEw16N0AmEdEh2t7yjZ72sUTnSowXW9KLcSinBMfyDDUGkBKA4/llOJ5fhh8P5AAAQtQydIy2B+nXxehwXSO/FjHGrrKlvHpADgBSqRRPP/00evXq5dHCMf/nzgymCqkEUXoJyk0WXCg3w2j2TZ9zwJ4xoSpjy0+pOfh+j3PGlh3HC7DjeEGjz9hSPb9z9cFxQODl1mf1u+L7DQFapQzZBWU4dq4soKeg95e7AYIgIEqvRJReiUEdIgHY51LIyC1F2plipJ0tQXpOiaNhoLoL5WZsyyzAtswCAID0YkPP9L4tMbp7rNfLzhhreG4H5TqdDllZWWjfvr3T8uzsbGi1Wo8VjPm/q53BtKpbS7nJggKDyWd5zgF7xpbxPZtjTLcYbMg4j2+Ss3GilowtLULVmNirOQZ1aFwZW+rL7xzIufVZTfW933KJgFIiFFcG7vvt73cDVDIJusUFo1tcsKO82YXlOHi2BGlnSnAopwRZheU1trPYCClZRRjdzdzAJWaMNRS3g/KJEydixowZePfdd9GvXz8AwLZt2/DUU09h8uTJHi8g81/XOoOpWi6FKkSConIziirMPp0lVCoRMaRjM9zaIRI7TxRi5e5sp4wtWYXleOePI1iy7STG9YjFiK4xjWJgVn35nRtLbn1m524+70AUaHcDREFAfFgQ4sOCcFvnaABAcYUZhy52eTl4tgSHc0thvDiAtCobDGOs8XE7qnj33XchCAL+9a9/wWKx33KTyWSYNWsW5s2b5/ECMv/liRlMBUFASJAcQQopzhuMPu3SUlWeG1qH4YbWYUjPsWds2Xr0UsaWgjITPttyAl/tzMLILtEY17M5wjWBm7HlivmdG3Fu/abqWvN5B4LGcDdAr5Khb0IY+iaEAQAsVhuyLlQgu7Ac7aP4jjRjjZXb9+Hlcjnef/99XLhwAfv27cO+fftQWFiIBQsWQKEI3OCEua/6DKa1caeVVS4VERusQphG4Tf5eztE6/DKHZ3w+d3XY0SXaMiqfcmXm6z4ZvdpTFm8E+/8noFTBWVX2JP/qsrvrJZLkG8wodJig81GqDBbkVtibPS59ZuaWt9vIlRabMg3mK4qn7e/qX43oDaBeDdAenEA6d39W0FaRyMIYyzwuV27i4uLUVhYCLVajc6dO6Nz585Qq9UoLCxESUmJN8rI/FTVDKYXymt2PalqZU2I1LjVyqpXydA8RA29SuY36cDiQtV4/Na2+HrmDZjSO86p24rFRvg1LRd3f74bL6xJQ9qZ4ivsyT9V5XduHaFBpcmCPIMR5UYLOkRrOR1iI3T5+11QbkKlyYLWEZqATodYpepuQEmlGYTLrksX7wbEhQUF9N0Axljj5Hb3lUmTJmHkyJH497//7bR85cqV+OGHH/DLL794rHDMv3lrBlOJKCBMo4BeJcOFcjMMRotP+5tXCQ2S494bW2NKnxb4+UAOvttzBucNlzK2bM8swPbMAlwXo8PE6+PQNyFwMrZUz+8skwk8o2cjd3k+70Cf0bM6b8zuyRhjDcHtoHznzp147733aiy/+eab8fzzz3ukUCxweHMGU6lERIRWgRC1DIVlJhiMvstvXp1aLsX4XnEY3T0Wfx3Ow4rkbJwsuJQtIe1sCdLWHkR8qBoTro/D4A6RkAXALeeq/M5xoeqAKC+7NlXvt6fIJCIUUhGiaO+pXvUzmgiw2ghmqw0WGzXID2xvz+7JGGPe4HZQbjQaHQM8qzObzaioqPBIoVhg8fYMplKJiEidEhqTBfmlJlhsvkuhWJ1MImJIpygM7tgMu04U4utd2Uit1n3lVGE53vk9A0u2ncC4Hs0xsks0ghpBxhbWNMkkIuRSEVJRgCAIkIgCpKL9X5lEdHksiMVqg5UIFivBYiNYL/4R7P+aLDZYL59d5yo05rsBjLHGye0IoXfv3vjss8/w4YcfOi3/5JNP0LNnT48VjAWWhpjBVC2XIjZEggKD0W9azQF7i2NVxpZDZ+0ZW7Ydq5axxWDCZ5uPY9nOUxjZJQbjesQiLIAztrDGSxQEyKQiRAGwESAK9mBco5BCKZN45DWkEhFSAFf6fUpkD9iNFhtMFhssVhsqzFa3g3VP3w1gjDFvcjsof/311zF48GDs378fgwYNAgD8+eefSE5Oxh9//OHxAjJWnUQUEKlTQlFhRmGZyS/6mlfXMUaHV0d1QlZhOb7dfRp/HMp1ZIEoM1qxIjkb3+89jVs7NsOEXnFoEar2cYlZUycVRehVMijlIhRSzwTe10oQBMgk9hZ4VPv9WmGyotxkQYXZCpPFP+6YMcaYp7gdlPfv3x87duzA22+/jZUrV0KlUqFLly5ISkpCmzZtvFFGxmrQq2RQSEXklRj9pjtLdS1C1XhiSFvc1S8eq1LO4If9Z1FmtOdgN1sJv6Tm4tfUXPRLDMOk6+PQKYansGcNSy4VoVPJoFVI/SbTUX1UcglUcvsPB5PFhgqTFZUWKypMVtj87Ac6Y8wuPT29wV7LaDQ2eHru8PBwtGjRwiP7uqoOrt26dcPy5cs9UgDGrpZSJkFMsPKaBoHaiLza5zRMo8DMG1tjSu8W+Dk1B9/uOY0Cg33SEgKw7VgBth0rQOdYPSZdH4c+rUO5zyvzClEQoJCJUEolUCskLrWK22zktbEi10outfdx10MGIkKZyYpKsxVGi83nk5AxxoCK4gIAAu68886Ge1FBsI8ub0AqlRqHD6d7JDC/qqA8MzMTS5cuxfHjx7Fw4UJERkbi119/RYsWLdCpU6drLhRjrqoaBKq3WJFvMLn1ZZySdcGRncF8MWtMXFiQV7IzBCmkmNArDmO6x2J9eh5W7s7GqWoZW1LPFCP1TDHiw9SY2CsOgwIkYwvzX1JRdHRJUcrc75qy/Vi+I6uS2UqQSQQkRGquOauSNwiCAI1C6phDwGK1oaTSguKKmnMoMMYahrm8FACh25RnENGqvddfLyd1B9J++KzBXg8ASnJOYueSV5Cfn++boHzTpk0YPnw4+vfvj82bN+P1119HZGQk9u/fj6SkJHz33XfXXCjW8Py5RcwVCqkEscEqFJWbUFhW//TZKVkX8N66Iyg3WaFTyqCT2GcAPH7egPfWHfHaJCoyiYjh10VhaKdm+Pt4Ab5JzkbqmUuTbp0qKMfbFzO2/LNnc4zoEg21nDO2MNcFKaT2PuLXMDBz+7F8PLc6FQajBSFqOeQSESarDek5pXhudarfTyollYgIDZJDq5Tigh+lU71aNiIczinBsTxDQF6fWdOmiWyB0BbtvP46JTknG/T1vMHtb/tnn30Wr7/+Oh5//HFotVrH8n/84x/4z3/+49HCsYYRSC1i9QlWy6GQSpBXWllnpgYbEZbvyka5yYpwjRz2rMqAQiogXCNHvsGE5buy0TUu2GtdSURBQL+EcPRLCEfamWJ8k5yNbZkFjufzDSZ8suk4/vf3KYzqGoOxPZojNChwpgVnDUsQBAQpJAhWySGXXtsdFpuN8PGmTBiMFkTplI7+5kpRgiidiNwSIz7elIkbWof5fWAou3gnTWe2oqTCjDKTNeBazh139ArLQYSAvj4zxq7M7at3amoqxowZU2N5ZGQk8vPzPVIo1nCqWsTSc0oQpJAiUqtAkELqaBHbfizw3lOV3N5qXldO8GPnypBdUAadUuYIyKsIEKBVypBdUIZj58oaori4LlaP10Zfh6V39cLw66IgrRbolBmtWL4rG5MX/4331h1BdmH5FfbEmgpREBCkkCJCq0DzEDVahqkRqVVec0AOAAfPliAzz4AQtbzGAFBBEBCsliEzz4CDZ0vq2IP/UcokiNQpEReigk4lC5iBrVV39I6fN0AtlzSK6zNjrG5uX8GDg4ORk5NTY3lKSgpiY2M9UijWMC5vEVPKJBBFAUqZBFE6BQxGKz7elAmbBybyaGhSiYhmOiWC1TVbl4srTfY+5JLav5jlEgFmIhRX1t8NxpPiw4Lw1NB2WD6zDyb2ao4g+aXuB2Yr4acDObhraTJe/uEg0nMCJyBi10YQ7HVSq5QhLEiBaL0K8WFqNNMp7VPIS0WPBpmF5SaYrQR5HWMaFBIRZhuhsLxh64cnSCUiwjUKxAQr/X7MxuV39BTSxnN9ZozVzu2r0qRJk/DMM88gNzcXgiDAZrNh27ZtePLJJ/Gvf/3LG2VkXtIYW8QuFxokr9HtQ6+UQyYKjvzhlzNZ7VNy65W+6S4SrlHg/oEJ+Pq+G3Dfja0QVq38BGDL0Xw8uDwFj36zD38fLwi42/HMNTKJiLAgBVqEqhETrEKEVgG9WgaVXOLVlt5QtRwyiQCTtfZUo0arDTJRQGgtP3gDhUIqQfMQFYJrufb5iyve0Wsk12fGmDO3+5S/+eabePDBBxEXFwer1YqOHTvCarViypQpeP75571RRuYlrrSIFQdoi1h1wWo5RFFAfqkRAJDYLAhxYUE4ft7g1KccAAiE0kozWkdokNgsyFdFBgBoFFJM6t0CY3s0x5/p5/DN7tPIqtZ95cDpYhw4XYxW4UGY2Ks5/tE+ElI/b/1jdRMFAVKJvSVULZf4bIBvpxgdEiI1SM8pRZTOuRWeiFBUbkaHaC06xeh8Uj5PEQQBoUFyaBRSFFeYYTBa/OoHbtUdPV0dd/Qay/WZMXaJ21d9uVyOxYsX46WXXkJqaioMBgO6d+/OEwcFoOotYkqxZqaGxtAiVkWnlEEiCMgrNUIEMKV3HN5bdwT5BpO9C4BEgMlqD8jVcgmm9I7zm3zhcqmI4Z2jMfS6KOzILMDXu7JxqFr3lRP5ZZj3WwaWbDuJcT2b4/bOUZyxxQ9JRAEKqQQSUYBUtAfgUlF0PPaXQZOiKGDWwAQ8tzoVuSVGBKtlUEhEGK02FJWboVFIMGtggt+U91rJpSIitAqEBslhqLSgpNIMcx13CRpS9Tt6CmnNc92Yrs+MMbur/uaOi4tDXFyc4/GqVaswZ84cHDhwwCMFY97XVFrEqgQppGgmAOdKjOjeIgSP39rWkae8lOxdVlpHaLySp9wTREFA/8Rw9E+0Z2z5elc2dhy/lLElr9SIjzdm4n87TmFUtxiM6R7LGVt8TBQEqBUSaBUyx0yUgaBfYjjeHNPZkZWp+GIe/w7R2kab9UMiCtCrZdCrZSg32XOcV5h8NwnRFe/oNcLrM2PMzaD8008/xbp16yCXy/HII4+gT58+2LBhA5544gkcOXKE+5QHmKbWIgYAarkU0XoB50oq0b1FCLrGBXt1Rk9vuS5WjzfG6HGyoAwrk09jffo5WC4O+DIYLVi2Mwsrd2djWKcojO/VHM1D1D4ucdMgFUWo5PbuJ3KpCKko+G2f5fr0SwzHDa3DAnr+gqullkuhlktRabaiqNyMclPD5zkXBcHpjp5OJYNUFBr19Zmxps7loHzevHl46aWX0KVLFxw+fBhr167F888/jw8//BCPPPII7r//foSE+F/rIruyptgippRJEBOsQm5xJcxWG9pGaXxdpKvWMiwITw9rh7v7t8T3e0/jpwM5KL/Yume2En48kIOfDuTgxjbhmNQ7Du2juFXN0xQyCZTSqmC8cXUbEkUBnZvrfV0Mn1HKJIjSS1BptuJCuanBW86d7ugVlqPcZG3012fGmjKXv0GWLl2KxYsXY/r06diyZQsGDhyI7du349ixYwgK8u2AOHZtmmKLmEwi2gPzkkoYzb67Re0pEVoFHhiYgDv7xOPHA2fx/d4zjplNCcDmo/nYfDQf3eL0mHR9C1zfMiRgW3D9gVQUoVFKoVVK/T61Hrt2SpkE0XoVKs1WFJaZUNmA14yqO3qnCsrtM5U2geszY02Vy0F5VlYW/vGPfwAAbrzxRshkMrzyyisckDcSTbFFTCIKiNYpca600qd9Rz1Jo5Ricu8WGNejOdYdOodvdmfj9IUKx/P7souxLzsVrSOCMLFXHG5pF8EZW1wkCALUcgm0SmmjaxFnrqm6y2ay2FBhssJgsjTIj3pRENA+WofYYJXXX4sx5jsuf7MYjUYolUrHY7lcjtDQUK8UijGbjRqk5V4UBUTplDhfaoTB2PD9Rr1FLhVxe5doDO8chW3HCvBNchYO5ZQ6nj9+vgxzfz2MpK0nML5Xc9x2XXRADURsSDKJCK1SCo1C2qR/wDRUnQwEcqkIuVSEXi2D0WLF+VIjTBbfZ2xhjAU2t5p7XnzxRajV9gFjJpMJr7/+OvR659bV9957z3OlY03S9mP5jj7uZqt95s2ESI3X+lAKgoBInRKKCjMKy0x+lav4WomCgBvbhGNAYhhSzxRjRXI2/j5e6Hg+r9SIj/5yztgSF8qDQgVBQJBCAp1SBqWMf6w0dJ0MJAqpBLHBKlwoN6O4wtyorh+MsYblclB+0003ISMjw/G4X79+OH78uNM63EeVXavtx/Lx3OpUGIwWhKjlkEtEmKw2pOeU4rnVqXhzTGevBQF6lQxKmYi8EqNf5Cn2JEEQ0KV5MLo0D8aJ/DKs3J2N9el5sF7M2FJSacH//s7CN7tP4589muP+ga0RH9b0uqYpZBJoFFJoFdIm2wp8OV/WyUBRNRGRWi5BvoFbzRljV8floHzjxo1eLAZj9tvjH2/KhMFoQZRO6fiRpxQliNKJyC0x4uNNmbihdZjXAqaqVq98Q+PqzlJdq/AgPDOsPe7u1xLf7z2Dnw7koOJiv1iTxYblu7Lw/d7T2PX8YOhVMh+X1vskogCNQgqNUgqFlFvFq/OHOhlIlDIJmoeoUVppRoHBBBu3mjPG3NB0O0gyv3PwbAky8wwIUctr3HURBAHBahky8ww4eLakjj14hijau7OEaxWN+u5PpE6JWTcn4Jv7bsC9A1ohRH0pAL+ja0yjDsgF4eJkUjolWoSqEaZRcEBeC3+pk4FGq5QhJljFmXkYY25xO4XA448/XutyQRCgVCqRmJiIUaNGuTQItGXLljh16lSN5f/+97/x0UcfOR4TEW677Tb89ttvWL16NUaPHu1SWR944AF8+umnWLBgAR599NErvu7cuXPx7LPPurRf5h2F5SaYrQR5HV9kComIYhuhsNzUIOXRKWVQSBtnd5bqNEoppvRpgX/2bI4/Dp3DmpQzuH9ga18Xy6tig1XcsusCf6uTgUQuFdE8RIWCMhNKKsy+Lg5jLAC4HZSnpKRg7969sFqtaNeuHQDgyJEjkEgkaN++PRYtWoQnnngCW7duRceOHa+4r+TkZFitl9JJpaWl4dZbb8X48eOd1lu4cKHbLZarV6/G33//jZiYmFqff/XVVzFz5kzHY61W69b+meeFquWQSQSYrDYoxZqtlkarDTJRQKi64aaOV0gljSqf+ZXIpSJGdInGAwNbQ97IW405IHeNP9bJQCIIAsI1CqhkEpwvNXJ3FsbYFbl9b23UqFEYPHgwzp49iz179mDPnj04ffo0br31VkyePBlnzpzBTTfdhMcee6zefUVERCAqKsrx99NPPyEhIQEDBw50rLNv3z7Mnz8fS5YscbmMZ86cwUMPPYRly5ZBJqv9FrxWq3V67fryrRuNRpSUlDj9Mc/qFKNDQqQGF8prZjAgIhSVm5EQqUGnmIadlVIiCojRK6FRNI3c1IHUZYfrpXf5a50MNEEKKWKCVVA0oUw+XDcZc5/bQfk777yD1157DTrdpYuwXq/HnDlz8Pbbb0OtVuOll17Cnj173NqvyWTCV199hXvuuccRFJSXl2PKlCn46KOPEBUV5dJ+bDYbpk2bhqeeegqdOnWqc7158+YhLCwM3bt3xzvvvAOL5cqD+ubOnQu9Xu/4i4uLc/3gmEtEUcCsgQnQKCTILTGiwmyFzUaoMFuRW2KERiHBrIEJEEUBNhsh9XQxNh05j9TTxbDZvNsCVZU2MVKnhBhAQWtjx/XSfe7UHXfqJLsyuVREbLAKEVoFJE3gfHHdZMx9bjf9FRcXIy8vr0bXlPPnzzt+CQcHB8Nkcq+P4Zo1a1BUVIS77rrLseyxxx5Dv379MGrUKJf389Zbb0EqleLhhx+uc52HH34YPXr0QGhoKLZv347Zs2cjJyfnijnWZ8+e7dSfvqSkhC8yXtAvMRxvjunsyIlcbCPIRAEdorWOnMi+zJmsUUghEQTkllRyPmI/wPXSPVdTd1ypk8x1WqUMarkU+QYjyhpphieA6yZjV8PtoHzUqFG45557MH/+fFx//fUA7H3Dn3zySccAzF27dqFt27Zu7TcpKQnDhw939AH/4YcfsGHDBqSkpLi8jz179uD999/H3r17r3gLvvqFokuXLpDL5bj//vsxd+5cKBSKWrdRKBR1Psc8q19iOG5oHVbr7IH+kDNZJZegmU6BcyVGDsx9jOul666l7lypTjL3SUQBzXTKRp06kesmY+5zu/vKp59+ikGDBmHSpEmIj49HfHw8Jk2ahEGDBuGTTz4BALRv3x7//e9/Xd7nqVOnsH79etx7772OZRs2bEBmZiaCg4MhlUohldp/P4wbNw4333xzrfvZsmUL8vLy0KJFC8c2p06dwhNPPIGWLVvW+fp9+vSBxWLByZMnXS4z8y5RFNC5uR4D20agc3O9o8tK9ZzJSpkEoihAKZMgSqeAwWjFx5syvd6VBQDUcima6Rp3ykTWeHii7tRWJ9m10SplaB6igkredPqaM8bq5nZLuUajweLFi7FgwQLHjJ6tW7eGRqNxrNOtWze39rl06VJERkbi9ttvdyx79tlnnYJ0AOjcuTMWLFiAkSNH1rqfadOmYfDgwU7Lhg4dimnTpuHuu++u8/X37dsHURQRGRnpVrlZw3InZ3Ln5nqvl0ctlyJKJyCvtNIxMyZj/sjf6g67RCoREa1XocxowYVyE88GylgT5nZQ/tVXX2Hs2LHQaDTo0qXLNRfAZrNh6dKlmD59uqM1HIAjK8rlWrRogVatWjket2/fHnPnzsWYMWMQFhaGsLAwp/VlMhmioqIc6Rt37NiBnTt34pZbboFWq8WOHTvw2GOP4c4770RISMg1Hw/zHn/MmayS22fwyyutRIWpcadMZIHLH+sOcxakkCJIIUW5yYLiCjNfTxhrgtwOyh977DE88MADuOOOO3DnnXdi6NChkEiu/tbb+vXrkZWVhXvuueeqts/IyEBxcbHL6ysUCqxYsQJz5syB0WhEq1at8Nhjj9U5KRLzH/6aM1kiCojSKZFX2rgHbrHA5a91h9WklkuhlktRabaipMIMQxO7pmRlZSE/P79BX9NoNDZo//f09PQGey0WWNwOynNycvDbb7/h66+/xoQJE6BWqzF+/HhMnToV/fr1c7sAQ4YMcXmwXG3r1bft5f3Ee/Togb///tvl8jH/UZUzOT2nFFE60ek2fFXO5A7RWp/kTBYE+8CtvJLKJvclyvyfP9cdVjulTAKlTIIQqw3FFeZGPatwlaysLLRv3wEVFeUN+8KCAPhgsK3ZyHemmDO3g3KpVIoRI0ZgxIgRKC8vx+rVq7F8+XLccsstaN68OTIzM71RTsYcOZOfW52K3BIjgtUyKCQijFYbisrNfpEzOVKnBEorYajkwJz5j0CoO6x2MomIcI2iSWR6ys/PR0VFOfrc8zJ00S0b5DVzUncg7YfP0G3KM4ho1b5BX7O++VFY03NNUxSq1WoMHToUFy5cwKlTp/iWDPO6QMiZHKlVQiIYUVxh9nVRGHMIhLrD6taUMj3polsitEW7BnmtkpyTAABNZIsGf03GLndVQXlVC/myZcvw559/Ii4uDpMnT8Z3333n6fIxVkMg5EwO0yggFUUUlBl9XRTGHAKh7jDGWFPldlA+adIk/PTTT1Cr1ZgwYQJefPFF9O3bFwCQlpbm8QIyVpuqnMn+TK+WAQJQYODAnPmPQKg7jDHWFLkdlEskEqxcudKRdaW0tBSfffYZkpKSsHv3blitnMaJsSp6lQyCAOSXcmDOGGOMsbq5HZQvW7YMALB582YkJSXh+++/R0xMDMaOHYv//Oc/Hi8gY4FOp5RBAHCeA3PGGGOM1cGtoDw3Nxeff/45kpKSUFJSggkTJsBoNGLNmjXo2LGjt8rIGAD7VOGB2hdWq5RBEAScLzU2iSwKzL8Ect1hjLGmwuWgfOTIkdi8eTNuu+02LFy4EMOGDYNEIsEnn3zizfIxBgDYfizfkTXCbCXIJAISIjUBlTVCo5BCAJDHgTlrQI2h7jDGWFNQ+5zLtfj1118xY8YMvPrqq7j99tuvaRZPxtyx/Vg+nludivScEgQppIjUKhCkkCI9pxTPrU7F9mMNO/vbtQhSSNFMp2hS6c2Y7zSmusMYY42dy0H51q1bUVpaip49e6JPnz74z3/+0+BT4bKmx2YjfLwpEwajBVE6JZQyCURRgFImQZROAYPRio83ZcJmC5yWZ7VciiidkgNz5lWNse4wxlhj5nJQfsMNN2Dx4sXIycnB/fffjxUrViAmJgY2mw3r1q1DaWmpN8vJmqiDZ0uQmWdAiFpeI4gVBAHBahky8ww4eLbERyW8Oiq5BNF6JUQOzJmXNNa6wxhjjZXLQXmVoKAg3HPPPdi6dStSU1PxxBNPYN68eYiMjMQdd9zhjTKyJqyw3ASzlSCX1P5RVUhEmG2EwnJTA5fs2illEkQHKyHhAXfMCxpz3WGMscbI7aC8unbt2uHtt9/G6dOn8fXXX3uqTIw5hKrlkEkEmKy2Wp83Wm2QiQJC1fIGLplnKKQSxASrIKsjcGLsajX2usMYY42NRyIBiUSC0aNH44cffvDE7hhz6BSjQ0KkBhfKzTUylhARisrNSIjUoFOMzkclvHYyiYiYYBWUMh48zTynKdQdxhhrTLh5jvk1URQwa2ACNAoJckuMqDBbYbMRKsxW5JYYoVFIMGtgQsDnXJaIAqL1Sg7Mmcc0lbrDGGONBQflzO/1SwzHm2M6o0O0FuVGC/IMRpQbLegQrcWbYzo3mlzLgiCgmU7JXVmYxzSVusMYY42BWzN6MuYr/RLDcUPrsEY/K2FVi3lOcSXMdfQFZswdTaXuMMZYoOOgnAUMURTQubne18XwOqlE5MCceVRTqTuMMRbI+D45Y35IenHwp4L7mDPGGGNNAgfljPkpiSggWseDPxljjLGmgINyxvyYKAqI0im5xZwxxhhr5DgoZ8zPVQXmnJWFMcYYa7z4W56xAFCVlYUDc8YYY6xx4m94xgKEVCIiSq+EVORqyxhjjDU2/O3OWACRSUQ00ysg4RzTjDHGWKPCQTljAUYhlSBar+KuLIwxxlgjwt/qjAUguVREbLAKajnP/8UYY4w1BhyUMxagRFFAM50CGiUH5owxxlig46CcsQAmCAIitUroVDJfF4Uxxhhj14CDcsYagXCNAnoOzBljjLGAxUE5Y41EmEaB0CC5r4vBGGOMsavAQTljjUiwWo5wrcLXxWCMMcaYmzgoZ6yR0SllCNNwYM4YY4wFEg7KGWuE9CoZwoI4MGeMMcYCBQfljDVSejW3mDPGGGOBghMcMxagbDbCwbMlKCw3IVQtR6cYHURRcFpHr5JBEID8UqOPSsmaKlc+n4wxxi7hoJyxALT9WD4+3pSJzDwDzFaCTCIgIVKDWQMT0C8x3GldnVIGAcB5DsxZA3Hn88kYY8yOu68wFmC2H8vHc6tTkZ5TgiCFFJFaBYIUUqTnlOK51anYfiy/xjZapQwRnJWFNYCr+XwyxhjjoJyxgGKzET7elAmD0YIonRJKmQSiKEApkyBKp4DBaMXHmzJhs1GNbbVKGadLZF51LZ9Pxhhr6jgoZyyAHDxbgsw8A0LUcgiCc/9cQRAQrJYhM8+Ag2dLat1ep+SsLMx7rvXzyRhjTRkH5YwFkMJyE8xWglxSe9VVSESYbYTCclOd+9CrZQhW88yfzPM88flkjLGmioNyxgJIqFoOmUSAyWqr9Xmj1QaZKCC0nqA7NEgOnUrmjSKyJsxTn0/GGGuKOChnLIB0itEhIVKDC+VmEDn3yyUiFJWbkRCpQacYXb37CtcooFFyAibmOZ78fDLGWFPDQTljAUQUBcwamACNQoLcEiMqzFbYbIQKsxW5JUZoFBLMGpjgcj7oSK0SGgUH5swzPP35ZIyxpsSnQXnLli0hCEKNvwcffNBpPSLC8OHDIQgC1qxZ4/L+H3jgAQiCgIULFzotLywsxNSpU6HT6RAcHIwZM2bAYDB44IgY875+ieF4c0xndIjWotxoQZ7BiHKjBR2itXhzTGe380BHaBVQyzkwZ57h6c8nY4w1FT79Jk5OTobVanU8TktLw6233orx48c7rbdw4cIaI/nrs3r1avz999+IiYmp8dzUqVORk5ODdevWwWw24+6778Z9992H5cuXX92BMNbA+iWG44bWYR6ZMVEQBDTTKZBbQqgwWevfgLF6ePLzyRhjTYVPg/KIiAinx/PmzUNCQgIGDhzoWLZv3z7Mnz8fu3fvRnR0tEv7PXPmDB566CH8/vvvuP32252eS09Px2+//Ybk5GT06tULAPDhhx/itttuw7vvvltrEM+YPxJFAZ2b6z2yL0EQEKVTorCMs2Iwz/Dk55MxxpoCv7lnbTKZ8NVXX+Hxxx93tIqXl5djypQp+OijjxAVFeXSfmw2G6ZNm4annnoKnTp1qvH8jh07EBwc7AjIAWDw4MEQRRE7d+7EmDFjat2v0WiE0XhpmvKSEs6zyxoXQRAQpgmsHOZcLxnzT1w3GXOf3wz0XLNmDYqKinDXXXc5lj322GPo168fRo0a5fJ+3nrrLUilUjz88MO1Pp+bm4vIyEinZVKpFKGhocjNza1zv3PnzoVer3f8xcXFuVwmxph3cL1kzD9x3WTMfX4TlCclJWH48OGO7iM//PADNmzYUGOQ5pXs2bMH77//Pj7//HO3+6DXZ/bs2SguLnb8ZWdne3T/jDH3cb1kzD9x3WTMfX7RfeXUqVNYv349Vq1a5Vi2YcMGZGZmIjg42GndcePG4cYbb8TGjRtr7GfLli3Iy8tDixYtHMusViueeOIJLFy4ECdPnkRUVBTy8vKctrNYLCgsLLxiFxmFQgGFIrBu7TPW2HG9ZMw/cd1kzH1+EZQvXboUkZGRToMyn332Wdx7771O63Xu3BkLFizAyJEja93PtGnTMHjwYKdlQ4cOxbRp03D33XcDAPr27YuioiLs2bMHPXv2BGD/AWCz2dCnTx9PHhZjjDHGGGMu8XlQbrPZsHTpUkyfPh1S6aXiREVF1dpy3aJFC7Rq1crxuH379pg7dy7GjBmDsLAwhIWFOa0vk8kQFRWFdu3aAQA6dOiAYcOGYebMmfjkk09gNpvxf//3f5g0aRJnXmGMMcYYYz7h8z7l69evR1ZWFu65556r2j4jIwPFxcVubbNs2TK0b98egwYNwm233YYBAwbgs88+u6rXZ4wxxhhj7Fr5vKV8yJAhICKX1q1tvfq2PXnyZI1loaGhPFEQY4wxxhjzGz5vKWeMMcYYY6yp83lLeaCqaqHnCRFYU6XVaj2eevRacb1kTZ0/1kvAtbppMBgAAMWnj8NmsTZIuQx5Z+zlyj3ZYNli+DUbx+sBQGnuKftrGwz1fu+4UjcFcrXvCHNy+vRpngyBNWnFxcXQ6XS+LoYTrpesqcvLy0NERISvi1ED103W1LnynclB+VWy2Ww4e/asx1olSkpKEBcXh+zsbL8LdHyBz4czfzwf/tgi5+l66Sn++P75Oz5n7qk6X0VFRdDr9b4uTg1VdZOI0KJFi0bxvja2z2hjOh5/PBZXvpe4+8pVEkURzZs39/h+dTqd33yA/AGfD2d8Pq7MW/XSU/j9cx+fM/f404/R6qrqZtUt/sb0vjamYwEa1/EE2rHwQE/GGGOMMcZ8jINyxhhjjDHGfIyDcj+hUCjw8ssvN9iIYX/H58MZn4/Axu+f+/icuSdQzleglNMVjelYgMZ1PIF6LDzQkzHGGGOMMR/jlnLGGGOMMcZ8jINyxhhjjDHGfIyDcsYYY4wxxnyMg3LGGGOMMcZ8jINyD2vZsiUEQajx9+CDDzqtR0QYPnw4BEHAmjVrrrjPc+fO4a677kJMTAzUajWGDRuGo0ePevEoPKu+c3LzzTfXeO6BBx644j6JCC+99BKio6OhUqkwePDggDkn3jgfq1atwpAhQxAWFgZBELBv374GOJKmae7cubj++uuh1WoRGRmJ0aNHIyMj44rb1PaeCoKA22+/vdb1H3jgAQiCgIULF3rhCBqWt87XXXfdVeP5YcOGeftwGoQ3P2Pp6em44447oNfrERQUhOuvvx5ZWVkulcsb32/V1fW5LywsxNSpU6HT6RAcHIwZM2bAYDC4vF9/OpbaXnfevHl+dyyu1K9AeV9cORZvvC9Xg2f09LDk5GRYrVbH47S0NNx6660YP36803oLFy50aeY1IsLo0aMhk8mwdu1a6HQ6vPfeexg8eDAOHTqEoKAgjx+Dp7lyTmbOnIlXX33V8VitVl9xn2+//TY++OADfPHFF2jVqhVefPFFDB06FIcOHYJSqfT8QXiQN85HWVkZBgwYgAkTJmDmzJmeLzRz2LRpEx588EFcf/31sFgseO655zBkyJAr1sdVq1bBZDI5HhcUFKBr1641rgsAsHr1avz999+IiYnx2jE0JG+er2HDhmHp0qWOx4GW/qwu3jpnmZmZGDBgAGbMmIFXXnkFOp0OBw8edPma6envt+qu9LmfOnUqcnJysG7dOpjNZtx999247777sHz5crdeozpfHQsAvPrqq07Xaa1W69b+L+etY6mvfgXS++LKtcLT78tVIeZVjzzyCCUkJJDNZnMsS0lJodjYWMrJySEAtHr16jq3z8jIIACUlpbmWGa1WikiIoIWL17szaJ7zeXnZODAgfTII4+4vL3NZqOoqCh65513HMuKiopIoVDQ119/7eniet21no/qTpw4QQAoJSXFcwVkV5SXl0cAaNOmTS5vs2DBAtJqtWQwGJyWnz59mmJjYyktLY3i4+NpwYIFHi6t73nqfE2fPp1GjRrlhRL6H0+ds4kTJ9Kdd97psXJd6/dblSt97g8dOkQAKDk52bHs119/JUEQ6MyZMwF1LETUIPXaE8dSX/0KpPfFlWuFv1xvufuKF5lMJnz11Ve45557HL/oysvLMWXKFHz00UeIioqqdx9GoxEAnFoyRFGEQqHA1q1bvVNwL6rtnADAsmXLEB4ejuuuuw6zZ89GeXl5nfs4ceIEcnNzMXjwYMcyvV6PPn36YMeOHV4tv6d54nww3youLgYAhIaGurxNUlISJk2a5NTqabPZMG3aNDz11FPo1KmTx8vpLzx1vgBg48aNiIyMRLt27TBr1iwUFBR4tKz+whPnzGaz4eeff0bbtm0xdOhQREZGok+fPm51yajOE99vVeW60ud+x44dCA4ORq9evRzLBg8eDFEUsXPnzqsqu6+Opcq8efMQFhaG7t2745133oHFYvHIcQCeOxbgyvUrkN6X+o6lijffF1dx9xUvWrNmDYqKinDXXXc5lj322GPo168fRo0a5dI+2rdvjxYtWmD27Nn49NNPERQUhAULFuD06dPIycnxUsm9p7ZzMmXKFMTHxyMmJgYHDhzAM888g4yMDKxatarWfeTm5gIAmjVr5rS8WbNmjucChSfOB/Mdm82GRx99FP3798d1113n0ja7du1CWloakpKSnJa/9dZbkEqlePjhh71RVL/gyfM1bNgwjB07Fq1atUJmZiaee+45DB8+HDt27IBEIvFG8X3CU+csLy8PBoMB8+bNw+uvv4633noLv/32G8aOHYu//voLAwcOdKtcnvh+A+r/3Ofm5iIyMtJpmVQqRWhoqMeu9w11LADw8MMPo0ePHggNDcX27dsxe/Zs5OTk4L333ruWQ3Dw1LHUV78C6X1x5Vrh7ffFZb5uqm/MhgwZQiNGjHA8Xrt2LSUmJlJpaaljGVy49bJ7927q2rUrASCJREJDhw6l4cOH07Bhw7xVdK+5/JzU5s8//yQAdOzYsVqf37ZtGwGgs2fPOi0fP348TZgwwWNlbQieOB/VcfeVhvXAAw9QfHw8ZWdnu7zNfffdR507d3Zatnv3bmrWrJnTbV9/uZ3qSZ46X7XJzMwkALR+/fprKaLf8dQ5O3PmDAGgyZMnOy0fOXIkTZo0ye1yeeL7zZXP/RtvvEFt27atsW1ERAQtWrTI7XLXpqGOpTZJSUkklUqpsrLyqstfnafijstdXr8C5X2pjSvXCk+/L67ioNxLTp48SaIo0po1axzLHnnkERIEgSQSieMPAImiSAMHDqx3n0VFRZSXl0dERL1796Z///vf3iq+V9R2TmpjMBgIAP3222+1Pl9VoS4PPG+66SZ6+OGHPVVcr/PU+aiOg/KG8+CDD1Lz5s3p+PHjLm9jMBhIp9PRwoULnZYvWLCgzmtDfHy8h0vuG548X3UJDw+nTz755GqL6Hc8ec6MRiNJpVJ67bXXnJY//fTT1K9fP7fK5anvN1c+90lJSRQcHOy0ndlsJolEQqtWrXKr3L4+ltqkpaURADp8+LDfHEtdqtevQHlfXDmW2njyfXEHB+Ve8vLLL1NUVBSZzWbHspycHEpNTXX6A0Dvv/++WxfdI0eOkCiK9Pvvv3uj6F5T2zmpzdatWwkA7d+/v9bnqwZ6vvvuu45lxcXFATfQ01PnozoOyr3PZrPRgw8+SDExMXTkyBG3tl26dCkpFArKz893Wp6fn1/j2hATE0PPPPNMg38peJo3zldtsrOzSRAEWrt27dUW1W9465z17du3xkDP0aNH12g9r4+nvt9c+dxXDSjcvXu3Y7vff//dYwMKG/JYavPVV1+RKIpUWFjoN8dSm8vrV6C8L64cS208+b64g4NyL7BardSiRQt65pln6l23tlsv7dq1c/qluXLlSvrrr78oMzOT1qxZQ/Hx8TR27FhPF9ur6jonx44do1dffZV2795NJ06coLVr11Lr1q3ppptuclrv8nMyb948Cg4OprVr19KBAwdo1KhR1KpVK6qoqGiQ47lWnj4fBQUFlJKSQj///DMBoBUrVlBKSgrl5OQ0yPE0JbNmzSK9Xk8bN26knJwcx195ebljnWnTptGzzz5bY9sBAwbQxIkTXXqdxtJ9xRvnq7S0lJ588knasWMHnThxgtavX089evSgNm3aNPjtZm/w1mds1apVJJPJ6LPPPqOjR4/Shx9+SBKJhLZs2eJy2Tz9/Xa52j73w4YNo+7du9POnTtp69at1KZNG7d/SNSmoY9l+/bttGDBAtq3bx9lZmbSV199RREREfSvf/3rag/BwZPH4mr9CoT3xZVj8eb74i4Oyr3g999/JwCUkZFR77q1faAA0NKlSx2P33//fWrevDnJZDJq0aIFvfDCC2Q0Gj1cau+q65xkZWXRTTfdRKGhoaRQKCgxMZGeeuopKi4udlrv8nNis9noxRdfpGbNmpFCoaBBgwa5dL79hafPx9KlSwlAjb+XX365AY6maantPF/+fgwcOJCmT5/utN3hw4cJAP3xxx8uvU5jCcq9cb7Ky8tpyJAhFBERQTKZjOLj42nmzJmUm5vr5aNpGN78jCUlJVFiYiIplUrq2rVrvd3nLufp77fL1fa5LygooMmTJ5NGoyGdTkd33323U7/iq9XQx7Jnzx7q06cP6fV6UiqV1KFDB3rzzTc98kPSk8fiav0KhPfFlWPx5vviLuHiATDGGGOMMcZ8hPOUM8YYY4wx5mMclDPGGGOMMeZjHJQzxhhjjDHmYxyUM8YYY4wx5mMclDPGGGOMMeZjHJQzxhhjjDHmYxyUM8YYY4wx5mMclDPGGGOMMeZjHJQzr/v8888RHBxc73qCIGDNmjVeLw9jjDHGmL/hoNyP7dixAxKJBLfffrvH933zzTfj0UcfrbHc1QD6WsyZMwfdunXz6mt4y9y5cyGRSPDOO+/4uijMD3m7zgqCAEEQoFAoEBsbi5EjR2LVqlUef62G/IFcdUyCIECv16N///7YsGHDNe/3s88+w8033wydTgdBEFBUVFRjncLCQkydOhU6nQ7BwcGYMWMGDAaD0zoHDhzAjTfeCKVSibi4OLz99ts19vPtt9+iffv2UCqV6Ny5M3755ZdrLj9rOA1Vb5VKJdq2bYu5c+eiqUym/vnnnzuOXxRFREdHY+LEicjKynJrP4EcN7iDg3I/lpSUhIceegibN2/G2bNnfV2cRslsNru1/pIlS/D0009jyZIlXioRC2TerrMzZ85ETk4OMjMz8f3336Njx46YNGkS7rvvPo+/lie4Wr+WLl2KnJwcbNu2DeHh4RgxYgSOHz9+Va9pMpkAAOXl5Rg2bBiee+65OtedOnUqDh48iHXr1uGnn37C5s2bnc5lSUkJhgwZgvj4eOzZswfvvPMO5syZg88++8yxzvbt2zF58mTMmDEDKSkpGD16NEaPHo20tLSrKj9reA1VbzMyMjB79my89NJL+OSTTzz+Og2pqp65QqfTIScnB2fOnMH333+PjIwMjB8/3oulC2DE/FJpaSlpNBo6fPgwTZw4kd544w0iIpo8eTJNmDDBaV2TyURhYWH0xRdfEBFRSUkJTZkyhdRqNUVFRdF7771HAwcOpEceecSxzeWPqyxdupT0er3TsjVr1lD37t1JoVBQq1ataM6cOWQ2mx3Pz58/n6677jpSq9XUvHlzmjVrFpWWlta6z6VLlxIAp7+lS5cSEREAWrx4MY0ePZpUKhUlJibS2rVrncqSlpZGt99+O2m1WtJoNDRgwAA6duwYERHt2rWLBg8eTGFhYaTT6eimm26iPXv2OG0PgBYtWkQjR44ktVpNL7/8skvHSES0ceNGio2NJZPJRDExMbRt2zan561WK7311luUkJBAcrmc4uLi6PXXX3c8n52dTZMmTaKQkBBSq9XUs2dP+vvvv106zzabjV5++WWKi4sjuVxO0dHR9NBDDzm2/eijjygxMZEUCgVFRkbSuHHjary3zLt8VWeXLFlCAGjdunWOZQcOHKBbbrmFlEolhYaG0syZM53qJBFRUlISdezYkeRyOUVFRdGDDz5IRETx8fFO9TM+Pt6xzaJFi6h169Ykk8mobdu29OWXXzrts7b6VVhYSFOmTKHw8HBSKpWUmJhIS5Yscdpm9erVjsdnzpwhAPTJJ58QEVFqaioNGzaMgoKCKDIyku688046f/6803l58MEH6ZFHHqGwsDC6+eabncr0119/EQC6cOGC0/JDhw4RAEpOTnYs+/XXX0kQBDpz5ozjeENCQshoNDrWeeaZZ6hdu3aOxxMmTKDbb7/dad99+vSh+++/n5j/80W97dGjB40ZM8bxuLKykp544gmKiYkhtVpNvXv3pr/++stpm61bt9LAgQNJpVJRcHAwDRkyhAoLCx3bP/TQQxQREUEKhYL69+9Pu3btIiL791JsbCwtWrTIaX979+4lQRDo5MmTRER04cIFmjFjBoWHh5NWq6VbbrmF9u3b51j/5Zdfpq5du9LixYupZcuWJAgCffHFFxQaGkqVlZVO+x41ahTdeeedRFR7TPHBBx8QACouLnYse/rpp6lNmzakUqmoVatW9MILL5DJZHLso664ob5yBxoOyv1UUlIS9erVi4iIfvzxR0pISCCbzUY//fQTqVQqpy/YH3/8kVQqFZWUlBAR0b333kvx8fG0fv16Sk1NpTFjxpBWq72qoHzz5s2k0+no888/p8zMTPrjjz+oZcuWNGfOHMc6CxYsoA0bNtCJEyfozz//pHbt2tGsWbNq3Wd5eTk98cQT1KlTJ8rJyaGcnBwqLy8nIvuXc/PmzWn58uV09OhRevjhh0mj0VBBQQEREZ0+fZpCQ0Np7NixlJycTBkZGbRkyRI6fPgwERH9+eef9L///Y/S09Pp0KFDNGPGDGrWrJnjvFS9RmRkJC1ZsoQyMzPp1KlTLh0jEdG0adPoySefJCKiJ554gu655x6n559++mkKCQmhzz//nI4dO0ZbtmyhxYsXE5H9wt+6dWu68cYbacuWLXT06FH65ptvaPv27S6d52+//ZZ0Oh398ssvdOrUKdq5cyd99tlnRESUnJxMEomEli9fTidPnqS9e/fS+++/X+O9Zd7lqzprtVopJCTEUecMBgNFR0fT2LFjKTU1lf78809q1aoVTZ8+3bHNokWLSKlU0sKFCykjI4N27dpFCxYsICKivLw8x5deTk4O5eXlERHRqlWrSCaT0UcffUQZGRk0f/58kkgktGHDBsd+a6tfDz74IHXr1o2Sk5PpxIkTtG7dOvrhhx+ctqkelBcWFhIA+uCDD+jChQsUERFBs2fPpvT0dNq7dy/deuutdMsttzidF41GQ0899RQdPnzYcT2oUldQnpSURMHBwU7LzGYzSSQSWrVqFRHZ6/yoUaOc1tmwYQMBcAREcXFxjnNX5aWXXqIuXbrUeK+Y/2nIemuz2Wjz5s2kVqtp4sSJjnXuvfde6tevH23evJmOHTtG77zzDikUCjpy5AgREaWkpJBCoaBZs2bRvn37KC0tjT788EPHj9OHH36YYmJi6JdffqGDBw/S9OnTKSQkxPHd+eSTT9KAAQOcjvuJJ55wWjZ48GAaOXIkJScn05EjR+iJJ56gsLAwxz5efvllCgoKomHDhtHevXtp//79VF5eTnq9nlauXOnYz7lz50gqlTquC5fHFOfOnaNbbrmFJBIJGQwGx/LXXnuNtm3bRidOnKAffviBmjVrRm+99RYRXTluqK/cgYaDcj/Vr18/WrhwIRHZvyjCw8Ppr7/+cvy/egvV5MmTHRW8pKSEZDIZffvtt47ni4qKSK1W17hQyGQyCgoKcvpTKBROFWjQoEH05ptvOpXtf//7H0VHR9dZ9m+//ZbCwsIcjy+vlFW/uC8HgF544QXHY4PBQADo119/JSKi2bNnU6tWrRy/nutjtVpJq9XSjz/+6PQajz76qNN6rhxjcXExqVQqxy/wlJQU0mg0jgt2SUkJKRQKRxB+uU8//ZS0Wm2dF4r6yjB//nxq27Ztrcf+/fffk06nc/rxwRpeQ9TZ2oJyInvL7PDhw4mI6LPPPqOQkBCnL7yff/6ZRFGk3NxcIiKKiYmh559/vs5juTxQrjq+mTNnOi0bP3483XbbbU7bXV6/Ro4cSXfffbdLr1VWVkb//ve/SSKR0P79++m1116jIUOGOK2fnZ1NACgjI4OI7Oele/fude6/rqD8jTfeoLZt29ZYPyIiwtGqeOutt9J9993n9PzBgwcJAB06dIiIiGQyGS1fvtxpnY8++ogiIyPrLBPzHw35XSuTyQgAKZVKx53WU6dOkUQicdydqTJo0CCaPXu243X79+9fa/kNBgPJZDJatmyZY1nV3dy3336biOzfV4Ig0KlTp4joUuv5xx9/TEREW7ZsIZ1OV6PFOyEhgT799FMisn9vy2Qyx4/0KrNmzXJce4js31WtW7cmm81GRJdauYOCgkitVjtauh9++OFaj6fKO++8Qz179nQ8ri1ucKXcgYb7lPuhjIwM7Nq1C5MnTwYASKVSTJw4EUlJSZBKpZgwYQKWLVsGACgrK8PatWsxdepUAMDx48dhNpvRu3dvx/70ej3atWtX43WmTp2Kffv2Of29+uqrTuvs378fr776KjQajeOvqn9ceXk5AGD9+vUYNGgQYmNjodVqMW3aNBQUFDied0eXLl0c/w8KCoJOp0NeXh4AYN++fbjxxhshk8lq3fbcuXOYOXMm2rRpA71eD51OB4PBUGNASa9evdw+xq+//hoJCQno2rUrAKBbt26Ij4/HN998AwBIT0+H0WjEoEGDai3bvn370L17d4SGhtb6fH1lGD9+PCoqKtC6dWvMnDkTq1evhsViAQDceuutiI+PR+vWrTFt2jQsW7bsqs49u3oNVWfrQkQQBAGA/bPYtWtXBAUFOZ7v378/bDYbMjIykJeXh7Nnz9b5Wa1Leno6+vfv77Ssf//+SE9Pd1p2ef2aNWsWVqxYgW7duuHpp5/G9u3ba+x78uTJ0Gg00Gq1+P7775GUlIQuXbpg//79+Ouvv5zqRfv27QEAmZmZju179uzp1rEwBjT8d+22bdswfPhwPP/88+jXrx8AIDU1FVarFW3btnX6nG/atMnxGd+3b1+d9TUzMxNms9mpbspkMvTu3dtRN7t164YOHTpg+fLlAIBNmzYhLy/P0a97//79MBgMCAsLcyrDiRMnnOpZfHw8IiIinF5/5syZ+OOPP3DmzBkA9oGdd911l+N6BABarRb79u3D7t27MX/+fPTo0QNvvPGG036++eYb9O/fH1FRUdBoNHjhhRfqHQzqarkDidTXBWA1JSUlwWKxICYmxrGMiKBQKPCf//wHU6dOxcCBA5GXl4d169ZBpVJh2LBhbr+OXq9HYmKi07LIyEinxwaDAa+88grGjh1bY3ulUomTJ09ixIgRmDVrFt544w2EhoZi69atmDFjBkwmE9RqtVtlujzgFgQBNpsNAKBSqa647fTp01FQUID3338f8fHxUCgU6Nu3b40BKdWDFVeOEbC/JwcPHoRUeqnK2Gw2LFmyBDNmzKi3bPU9X18Z4uLikJGRgfXr12PdunX497//jXfeeQebNm2CVqvF3r17sXHjRvzxxx946aWXMGfOHCQnJ3s9kw6za6g6Wxur1YqjR4/i+uuvd2n9+j6L1+ry+jV8+HCcOnUKv/zyC9atW4dBgwbhwQcfxLvvvutYZ8GCBRg8eDD0er3Tl77BYMDIkSPx1ltv1Xid6OjoOl/TFVFRUY4f/FUsFgsKCwsRFRXlWOfcuXNO61Q9rm+dqueZ//LFd+3KlSuRmJiIG264AYMHD4bBYIBEIsGePXsgkUicttNoNAA8U2enTp2K5cuX49lnn8Xy5csxbNgwhIWFAbDXs+joaGzcuLHGdtW/Q2qrZ927d0fXrl3x5ZdfYsiQITh48CB+/vlnp3VEUXQcf4cOHZCZmYlZs2bhf//7HwB79pupU6filVdewdChQ6HX67FixQrMnz//isfkarkDCbeU+xmLxYIvv/wS8+fPd2rB3r9/P2JiYvD111+jX79+iIuLwzfffINly5Zh/PjxjmC2devWkMlkSE5OduyzuLgYR44cuary9OjRAxkZGUhMTKzxJ4oi9uzZA5vNhvnz5+OGG25A27Zt6x29LpfLYbVa3S5Lly5dsGXLljozOmzbtg0PP/wwbrvtNnTq1AkKhQL5+fnXfIypqanYvXs3Nm7c6PSebNy4ETt27MDhw4fRpk0bqFQq/Pnnn3WWfd++fSgsLLyqMgD2C/PIkSPxwQcfOF47NTUVgL2FZ/DgwXj77bdx4MABnDx50iNp5Vj9fF1nv/jiC1y4cAHjxo0DYP/S279/P8rKyhzrbNu2DaIool27dtBqtWjZsmWdn1XA/uP48jraoUMHbNu2zWnZtm3b0LFjx3rLGBERgenTp+Orr77CwoULnbKXAPbANjExsUYrXI8ePXDw4EG0bNmyRr24mkC8ur59+6KoqAh79uxxLNuwYQNsNhv69OnjWGfz5s1O15x169ahXbt2CAkJcaxz+blct24d+vbte03lY97lq3qr0WjwyCOP4MknnwQRoXv37rBarcjLy6vxGa/6YdelS5c662tCQgLkcrlT3TSbzUhOTnaqm1OmTEFaWhr27NmD7777ztHiD9jrWW5uLqRSaY0yhIeH13su7733Xnz++edYunQpBg8ejLi4uCuu/+yzz+Kbb77B3r17AdgzGMXHx+P5559Hr1690KZNG5w6dcppm9rihmstt1/yaecZVsPq1atJLpdTUVFRjeeefvppx4CU559/njp27EhSqZS2bNnitN69995LrVq1og0bNlBaWhqNGzeOtFqtU19PVwd6/vbbbySVSmnOnDmUlpZGhw4doq+//trRH3Xfvn0EgBYuXEiZmZn05ZdfUmxsrFMfzsv3uWzZMgoKCqKUlBQ6f/68oz8YaunHqtfrHaOs8/PzKSwszDHQ88iRI/Tll186BnZ1796dbr31Vjp06BD9/fffdOONN5JKpXIahFXba9R3jI888gj16dOnxrkiIurdu7dj8OecOXMoJCSEvvjiCzp27Bjt2LGD/vvf/xIRkdFopLZt29KNN95IW7dupczMTPruu+8cAz3rK8PSpUvpv//9L6WmplJmZia98MILpFKpKD8/n3788Ud6//33KSUlhU6ePEmLFi0iURQpLS2t1jIzz2rIOjtz5kzKycmh7Oxs2rFjBz399NMkk8mcBlaXlZVRdHQ0jRs3jlJTU2nDhg3UunVrp4Gen3/+OSmVSnr//ffpyJEjtGfPHvrggw8cz7dp04ZmzZpFOTk5jgGNq1evJplMRosWLaIjR444BnpWzxJRW/168cUXac2aNXT06FFKS0ujESNGUO/eva+4TZUzZ85QREQE/fOf/6Rdu3bRsWPH6LfffqO77rqLLBaL47zUdi3LycmhlJQUWrx4MQGgzZs3U0pKitO4jmHDhlH37t1p586dtHXrVmrTpg1NnjzZ8XxRURE1a9aMpk2bRmlpabRixQpSq9VO/VW3bdtGUqmU3n33XUpPT3f0vU1NTa31mJh/8OV3bUFBAalUKkd/9KlTp1LLli3p+++/p+PHj9POnTvpzTffpJ9++omIiDIyMkgul9OsWbNo//79lJ6eTosWLXIM9HzkkUcoJiaGfv31V6eBnlV1t0r//v2pa9eupNVqHQMliewDUAcMGEBdu3al33//nU6cOEHbtm2j5557zpGdqK6xYESX+tLL5XJasWKF03O1ZV8hcs5atHbtWpJKpfT111/TsWPH6P3336fQ0NB64wZXyh1oOCj3MyNGjHAaOFXdzp07CQDt37/fkc4rPj7eMaCiSm1pmnr37k3PPvusYx13UiL+9ttv1K9fP1KpVKTT6ah3796OzB9ERO+99x5FR0eTSqWioUOH0pdffnnFoLyyspLGjRtHwcHBNVIiXikoJyLav38/DRkyhNRqNWm1WrrxxhspMzOTiOwpnnr16kVKpZLatGlD3377LcXHx9cblF/pGI1GI4WFhTkGzFzurbfeosjISDKZTGS1Wun111+n+Ph4kslk1KJFC6fBmydPnqRx48aRTqcjtVpNvXr1op07d7p0nlevXk19+vQhnU5HQUFBdMMNN9D69euJyD7YZeDAgRQSEkIqlYq6dOlC33zzTa3lZZ7XkHUWFwdJVaXFHDFihCNTSHWupET85JNPqF27diSTyWqk2Pzhhx8oMTGRpFKp2ykRL69fr732GnXo0IFUKhWFhobSqFGj6Pjx41fcprojR47QmDFjKDg4mFQqFbVv354effRRxzms61r28ssv10ijVv16Q2QPjiZPnkwajYZ0Oh3dfffdNc7T/v37acCAAaRQKCg2NpbmzZtX47VWrlxJbdu2JblcTp06daKff/65zuNh/sHX37X3338/derUiaxWK5lMJnrppZeoZcuWjvo4ZswYOnDggGP9jRs3Ur9+/UihUFBwcDANHTrU8R1bUVFBDz30EIWHh9dIiVjdokWLCAD961//qvFcSUkJPfTQQxQTE0MymYzi4uJo6tSplJWVRURXDsqJ7JmKakuPWFdQvmPHDgLg+A586qmnKCwsjDQaDU2cOJEWLFjgUtxQX7kDjUDURKaVasLKysoQGxuL+fPnY8aMGb4uDmOsHlxnGQs8TbneDho0CJ06dcIHH3zg66IENB7o2QilpKTg8OHD6N27N4qLix0ZVUaNGuXjkjHGasN1lrHAw/UWuHDhAjZu3IiNGzdi0aJFvi5OwOOgvJF69913kZGRAblcjp49e2LLli2BO/CBsSaA6yxjgaep19vu3bvjwoULeOutt9xK48pqx91XGGOMMcYY8zFOicgYY4wxxpiPcVDOGGOMMcaYj3FQzhhjjDHGmI9xUM4YY4wxxpiPcVDOGGOMMcaYj3FQzhhjjDHGmI9xUM4YY4wxxpiPcVDOGGOMMcaYj/0/4vtfQL9+OD0AAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -1402,14 +1374,14 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 40, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\574403037.py:17: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\574403037.py:17: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", " df_question4 = pd.read_sql(query_4, connection)\n" ] }, @@ -1417,21 +1389,28 @@ "name": "stdout", "output_type": "stream", "text": [ - " DiseaseName AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", - "0 Malaria 5.148557 51036.541119 0.656155\n", - "1 Hepatitis 5.111002 50134.584410 0.648586\n", - "2 Rabies 5.087610 50758.945881 0.648486\n", - "3 Tuberculosis 5.085437 49793.941319 0.650789\n", - "4 Measles 5.082200 50287.037513 0.649193\n", + " DiseaseName AvgMortalityRate AvgPerCapitaIncome \\\n", + "0 Parkinson's Disease 5.069338 50150.041864 \n", + "1 Cancer 5.068933 50239.745789 \n", + "2 Rabies 5.063906 50376.520740 \n", + "3 Influenza 5.057569 50102.506160 \n", + "4 Zika 5.056438 50385.598772 \n", + "\n", + " AvgEducationIndex \n", + "0 0.649957 \n", + "1 0.650294 \n", + "2 0.649285 \n", + "3 0.650901 \n", + "4 0.649948 \n", " AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", - "AvgMortalityRate 1.000000 0.119010 0.742968\n", - "AvgPerCapitaIncome 0.119010 1.000000 0.346141\n", - "AvgEducationIndex 0.742968 0.346141 1.000000\n" + "AvgMortalityRate 1.000000 -0.329285 -0.076750\n", + "AvgPerCapitaIncome -0.329285 1.000000 0.082558\n", + "AvgEducationIndex -0.076750 0.082558 1.000000\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1474,6 +1453,574 @@ "plt.title(\"Correlation Between Mortality Rate and Socioeconomic Factors\")\n", "plt.show()" ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_10348\\1616853608.py:18: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_urbanization = pd.read_sql(query, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " AvgUrbanizationRate AvgIncidenceRate AvgPrevalenceRate\n", + "AvgUrbanizationRate 1.000000 -0.142770 0.274668\n", + "AvgIncidenceRate -0.142770 1.000000 -0.439319\n", + "AvgPrevalenceRate 0.274668 -0.439319 1.000000\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Question 5:\n", + "# Does the urbanization rate affect the incidence and prevalence rates of infectious diseases? \n", + "# Are urban areas more vulnerable to certain outbreaks?\n", + "\n", + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(UrbanizationRate) AS AvgUrbanizationRate,\n", + " AVG(IncidenceRate) AS AvgIncidenceRate,\n", + " AVG(PrevalenceRate) AS AvgPrevalenceRate\n", + "FROM HealthStatistics\n", + "WHERE DiseaseCategory = 'Infectious'\n", + "GROUP BY DiseaseName\n", + "ORDER BY AvgUrbanizationRate DESC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a pandas DataFrame\n", + "df_urbanization = pd.read_sql(query, connection)\n", + "\n", + "df_urbanization.describe()\n", + "# Calculate correlation\n", + "correlation_matrix = df_urbanization[[\n", + " 'AvgUrbanizationRate',\n", + " 'AvgIncidenceRate',\n", + " 'AvgPrevalenceRate'\n", + "]].corr()\n", + "\n", + "print(correlation_matrix)\n", + "\n", + "# Visualize correlation as a heatmap\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\")\n", + "plt.title(\"Correlation Between Urbanization and Disease Metrics\")\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\951363643.py:23: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_treatment_cost = pd.read_sql(query_treatment_cost, connection)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " AvgTreatmentCost AvgPerCapitaIncome\n", + "count 400.000000 400.000000\n", + "mean 25017.133065 50288.256687\n", + "std 918.304499 1945.957610\n", + "min 21592.782222 45060.353909\n", + "25% 24446.419380 48867.130417\n", + "50% 25011.521691 50226.332353\n", + "75% 25673.356283 51572.830533\n", + "max 27581.779221 58271.036364\n" + ] + } + ], + "source": [ + "# 6.\tEconomic Burden:\n", + "# What is the average treatment cost (USD) for the most common infectious diseases, \n", + "# and how does it compare to the per capita income in different countries?\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "\n", + "# Define a query to calculate the average treatment cost for common infectious diseases\n", + "query_treatment_cost = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(AverageTreatmentCost) AS AvgTreatmentCost,\n", + " Country,\n", + " AVG(PerCapitaIncome) AS AvgPerCapitaIncome\n", + "FROM HealthStatistics\n", + "WHERE DiseaseCategory = 'Infectious'\n", + "GROUP BY DiseaseName, Country\n", + "ORDER BY AvgTreatmentCost DESC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a DataFrame\n", + "df_treatment_cost = pd.read_sql(query_treatment_cost, connection)\n", + "\n", + "# Plot the comparison between treatment costs and per capita income\n", + "plt.figure(figsize=(12, 8))\n", + "sns.scatterplot(\n", + " data=df_treatment_cost,\n", + " x=\"AvgPerCapitaIncome\",\n", + " y=\"AvgTreatmentCost\",\n", + " hue=\"DiseaseName\",\n", + " palette=\"Set2\",\n", + " s=100,\n", + " alpha=0.8\n", + ")\n", + "\n", + "plt.title(\"Comparison of Average Treatment Cost and Per Capita Income\", fontsize=16)\n", + "plt.xlabel(\"Average Per Capita Income (USD)\", fontsize=12)\n", + "plt.ylabel(\"Average Treatment Cost (USD)\", fontsize=12)\n", + "plt.legend(title=\"Disease Name\", bbox_to_anchor=(1.05, 1), loc='upper left')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Summary statistics\n", + "print(df_treatment_cost.describe())" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\4268870804.py:16: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_vaccine = pd.read_sql(query, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " DiseaseName AvailabilityOfVaccinesTreatment AvgMortalityRate \\\n", + "0 HIV/AIDS Yes 5.153536 \n", + "1 Dengue No 5.147725 \n", + "2 Parkinson's Disease No 5.124283 \n", + "3 Cholera No 5.119150 \n", + "4 Zika Yes 5.106914 \n", + "\n", + " AvgRecoveryRate \n", + "0 74.472044 \n", + "1 74.311980 \n", + "2 74.639644 \n", + "3 74.222884 \n", + "4 74.696067 \n", + " AvailabilityOfVaccinesTreatment AvgMortalityRate AvgRecoveryRate\n", + "0 No 5.047460 74.374314\n", + "1 Yes 5.059264 74.503307\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# How does the availability of vaccines or treatments impact the mortality and recovery rates for specific infectious diseases?\n", + "\n", + "\n", + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AvailabilityOfVaccinesTreatment,\n", + " AVG(MortalityRate) AS AvgMortalityRate,\n", + " AVG(RecoveryRate) AS AvgRecoveryRate\n", + "FROM HealthStatistics\n", + "WHERE DiseaseCategory = 'Infectious'\n", + "GROUP BY DiseaseName, AvailabilityOfVaccinesTreatment\n", + "ORDER BY AvgMortalityRate DESC;\n", + "\"\"\"\n", + "\n", + "df_vaccine = pd.read_sql(query, connection)\n", + "print(df_vaccine.head())\n", + "\n", + "df_summary = df_vaccine.groupby(\"AvailabilityOfVaccinesTreatment\").agg({\n", + " \"AvgMortalityRate\": \"mean\",\n", + " \"AvgRecoveryRate\": \"mean\"\n", + "}).reset_index()\n", + "\n", + "print(df_summary)\n", + "\n", + "\n", + "# Bar plot for Mortality and Recovery Rates by Vaccine Availability\n", + "df_melted = df_summary.melt(id_vars=\"AvailabilityOfVaccinesTreatment\", \n", + " value_vars=[\"AvgMortalityRate\", \"AvgRecoveryRate\"],\n", + " var_name=\"Metric\", \n", + " value_name=\"Rate\")\n", + "\n", + "plt.figure(figsize=(8, 5))\n", + "sns.barplot(data=df_melted, x=\"AvailabilityOfVaccinesTreatment\", y=\"Rate\", hue=\"Metric\", palette=\"viridis\")\n", + "plt.title(\"Impact of Vaccine Availability on Mortality and Recovery Rates\")\n", + "plt.xlabel(\"Availability of Vaccines/Treatments\")\n", + "plt.ylabel(\"Rate (%)\")\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\639494033.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_dalys = pd.read_sql(query, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Diseases Contributing to DALYs:\n", + " DiseaseName TotalDALYs\n", + "0 COVID-19 126331645.0\n", + "1 Asthma 125850738.0\n", + "2 Leprosy 125449471.0\n", + "3 Dengue 125391463.0\n", + "4 HIV/AIDS 125366533.0\n", + "5 Cholera 125358861.0\n", + "6 Diabetes 125342789.0\n", + "7 Cancer 125275792.0\n", + "8 Zika 125185536.0\n", + "9 Tuberculosis 125169183.0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\639494033.py:23: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(data=df_dalys, x=\"TotalDALYs\", y=\"DiseaseName\", palette=\"viridis\")\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Which diseases contribute the most to DALYs (Disability-Adjusted Life Years)?\n", + "\n", + "# Define the query to fetch the top diseases contributing to DALYs\n", + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " SUM(DALYs) AS TotalDALYs\n", + "FROM HealthStatistics\n", + "GROUP BY DiseaseName\n", + "ORDER BY TotalDALYs DESC\n", + "LIMIT 10;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a DataFrame (ensure connection is set up)\n", + "df_dalys = pd.read_sql(query, connection)\n", + "\n", + "# Display the top diseases contributing to DALYs\n", + "print(\"Top Diseases Contributing to DALYs:\")\n", + "print(df_dalys)\n", + "\n", + "# Create a bar plot for the top diseases by DALYs\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(data=df_dalys, x=\"TotalDALYs\", y=\"DiseaseName\", palette=\"viridis\")\n", + "plt.title(\"Top Diseases Contributing to DALYs Globally\", fontsize=16)\n", + "plt.xlabel(\"Total DALYs (Disability-Adjusted Life Years)\", fontsize=12)\n", + "plt.ylabel(\"Disease Name\", fontsize=12)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\1696327148.py:20: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_age_gender = pd.read_sql(query_age_gender_disparities, connection)\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 3.\tDemographic Patterns:\n", + "# Which age groups and genders are most affected by high-prevalence infectious diseases?\n", + "# Are there significant disparities?\n", + "\n", + "# Query to analyze the most affected age groups and genders for high-prevalence infectious diseases\n", + "query_age_gender_disparities = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AgeGroup,\n", + " Gender,\n", + " AVG(PrevalenceRate) AS AvgPrevalenceRate,\n", + " MAX(PrevalenceRate) AS MaxPrevalenceRate\n", + "FROM HealthStatistics\n", + "WHERE DiseaseCategory = 'Infectious'\n", + "GROUP BY DiseaseName, AgeGroup, Gender\n", + "ORDER BY AvgPrevalenceRate DESC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a DataFrame\n", + "df_age_gender = pd.read_sql(query_age_gender_disparities, connection)\n", + "\n", + "# Display the top results\n", + "df_age_gender.head()\n", + "\n", + "# Visualizing disparities by age group and gender\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(12, 8))\n", + "sns.barplot(\n", + " data=df_age_gender,\n", + " x=\"AvgPrevalenceRate\",\n", + " y=\"AgeGroup\",\n", + " hue=\"Gender\",\n", + " palette=\"Set2\"\n", + ")\n", + "\n", + "plt.title(\"Age Groups and Genders Most Affected by High-Prevalence Infectious Diseases\", fontsize=16)\n", + "plt.xlabel(\"Average Prevalence Rate (%)\", fontsize=12)\n", + "plt.ylabel(\"Age Group\", fontsize=12)\n", + "plt.legend(title=\"Gender\", loc='upper right')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\3701994816.py:21: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_below_average = pd.read_sql(query_below_average, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Countries with Healthcare Access and Hospital Beds Below Average:\n", + "+----+--------------+-----------------------+-------------------+\n", + "| | Country | AvgHealthcareAccess | AvgHospitalBeds |\n", + "+====+==============+=======================+===================+\n", + "| 0 | Australia | 74.8807 | 5.22825 |\n", + "+----+--------------+-----------------------+-------------------+\n", + "| 1 | Canada | 74.8993 | 5.23051 |\n", + "+----+--------------+-----------------------+-------------------+\n", + "| 2 | Turkey | 74.9084 | 5.24398 |\n", + "+----+--------------+-----------------------+-------------------+\n", + "| 3 | Saudi Arabia | 74.9332 | 5.23775 |\n", + "+----+--------------+-----------------------+-------------------+\n", + "| 4 | Mexico | 74.9382 | 5.24138 |\n", + "+----+--------------+-----------------------+-------------------+\n", + "| 5 | UK | 74.9667 | 5.23533 |\n", + "+----+--------------+-----------------------+-------------------+\n", + "| 6 | France | 74.9773 | 5.23878 |\n", + "+----+--------------+-----------------------+-------------------+\n" + ] + }, + { + "data": { + "image/png": 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TJg7tkuzL9+7du061Hj9+3KktKirKPPvssyZdunTm1KlT9varV6+aDBkyGG9vb/Pnn3869K9du7aRZPLmzeswrffff99IMh999JGJiYmxt4eHh5sKFSoYd3d3c+bMGacaHhS7jZYvX97+3nrw0axZMyPJjBw50mHcpGzHSV0mxhiTN29ep9cd+5kTGhoa5+vJmzevkWSaNWtmIiIi7O1r1qwxkkz9+vUd+vft29dIMh06dHBaj9euXTPXr19Pdv0JvUf2799vXF1dTenSpc2lS5ccho0cOdJIMp9++mmcrzEusdvea6+9Zm+rUaOGsdls5siRIw5979y5Y3LmzGlcXFzMihUrnKb1119/2f+/d+9e4+LiYgICAhz+lhhjTExMjMN7LCmfOdeuXTM2m82UL1/eadncvXvX4fMsU6ZMJiAgwNy8edOp1sT+DTh27JhT2/Xr103JkiWNn5+fw7Rj/+5JMqNGjXIY58MPP3TaFqKjo03+/PmNzWYzmzZtsrfHxMSY9u3b26eVGLHzLlCgQLzbY+zf9vvXtTHGBAcHO/09M8aYL774wkhy+KyNfb/06dMnzuVy584d+/PY+WXNmtXhvREREWFq1KhhJJmFCxc6vYYHvzck9H3FmLi3r7Nnz5qAgAATFBQU53KK77vJg2L/vtWpU8e+HD/44APTqVMnkzFjRpMtWzan72uXLl0yvr6+JmfOnObkyZMOw+bOnWskmV69etnbjhw5YlxdXU3OnDnNP//8Y28PCwszhQsXdvq+kJR1gLSH0A2kEUWKFDGSzKFDhxI9TkREhEmfPr3JnDlznF8unn32WacwmNzQ3bFjR6f+scMmTpxob0ts6H7rrbfiHB5X6N6zZ4+RZLp27RrnOG+//baRZH7//XdjzP+F7ge/SCRF7Bfr2JC7a9cuI8nMnTvX5MmTx7Rp08bet1q1asbT09PhC/ujhO7ELuuExK7nuB6BgYFOgdMYY0qVKmW8vb3NrVu3nIb99ttv9hCf0GucOXOmkWR69OjhNI1Tp04ZV1dXkz9/fnvbtWvXTLp06RyCTZMmTUzhwoXNtGnTjCRz8OBBY8z/haD7Q/vDfPbZZ0aS+fjjj+1tR48eNZJM5cqVHfp++eWXRpIZO3asQ/ukSZOcfsRZvHhxgrU8//zzxsXFxYSFhdnbJBl3d3dz8eLFRNdvjDGLFi0ykkxISIi9LSQkxEgyvXv3duq/detWp9AdHR1tMmbMaAoUKOAQuGPFfpn7/PPPH1pP7DaamMf9QSOp23FC4lomxjxa6I7rC3zevHlNpkyZ7M+joqKMj4+P8fPzM1euXHlonUmtP6H3SO/evZ0+z2NFR0ebrFmzmvLlyye6htgfRrZs2WJv++abb+L8Efe7776L97PpQT169DCSzLRp0x7aNymfOWFhYUaSqVq1apzv4ftlypTJBAYGWhJCYn8UXL9+vb0t9u9evnz5HH7kvn/Y888/b2/bsGGDkWSaNm3qNP2TJ0+adOnSJTl0J+Zxf+g+deqUkWSKFSvmtDyjo6Pt30lOnz5tjPm/z4gH3xtxif0uMXz4cKdhmzZtMpIcfpRMbuiOzxtvvGEkOQTf5IbuuB6urq6mV69eDkHZGGPGjRtnJJmZM2fGOc1y5cqZLFmy2J8PGTIkzr85xhgza9aseEN3YtYB0h4OLwceY4cOHdKdO3cUHBwsLy8vp+HBwcFavXq19u7dq+rVqz/SvMqXL+/UFntu87Vr15I8vYoVKya67/bt2yVJ//zzT5zneh86dMj+b4kSJdS0aVMNGDBAPXv21Nq1a9WgQQPVrFnT6VDfhAQHB2vs2LEKDQ3VM888Yz+0vHbt2goODtbKlSsl3Tvc65dfflH16tUTfVjnw6Tksj537pz9Qmq3b9/W0aNHNXToUL388ss6cOCA/fDWW7du6ffff1dAQIBGjx7tNJ3Yc/Bil3V8fv31V0mK8/DNPHnyKH/+/Przzz91/fp1+fj4yM/PT2XLltXmzZsVFRUlFxcXbdy4US+++KL9cP3Q0FAVKVLEvg4SOoz/QbFXZn7ppZfsbQUKFFCVKlW0detWHTx4UEWLFpUktW7dWr1799asWbP09ttv2/vPnj1brq6uateunb0t9j15+PDhON+T58+fV0xMjP7880+HK8Tny5cv3ivzX79+XZ9++qmWLFmiY8eO6ebNmw7Dz549a/9/7DmicZ06UqlSJafTJw4fPqyrV68qICDA6ZoQ0r3TVKSHr9/7vfbaa5oyZUqcw0JCQtSlSxeHtqRux1LSlsmj8Pf3t1+P4n65cuXStm3bHGq8fv266tatm6hDgJNTf3zvkdjlF3sY/oPc3NwSvf7Onz+v5cuXq2DBgg4XFGzVqpXeeOMNzZgxQ8OGDbOf9vPLL79IksNh9vFJbN+kfub4+vqqUaNG+umnn1SuXDm1atVKtWrV0tNPP+10KkXbtm01adIklShRQm3btlVwcLAqV66cpAteXbhwQaNGjdKKFSt06tQp3b5922F4XOuuTJkycnFxvFxSXJ/dsdtvXH+X8+bNq9y5cztcWyUx6tevb/+79KD169c7fW7u3btXklSzZk2n67y4uLioRo0aOnTokPbu3avcuXOrRo0aypEjh0aNGqV9+/apSZMmqlmzpooWLRrvdWLien2VK1eWq6ur/W/Fozh+/LhGjhypdevW6cyZM4qIiHAYfvbsWeXNm/eR5jFy5Ej7hdRiYmJ07tw5LVmyRH379tVPP/2kPXv22A/pjt1Gd+zYoWPHjjlN686dO7p06ZIuXbqkLFmyJPg+iKstOesAaQehG0gjnnrqKR06dEhnzpxR4cKFEzVOeHi4JMV7Dnjs7api+z2K2HMK7xf7xf7+i2Al1sPOW7/flStXJEnLly/X8uXL4+0X+4U2MDBQ27dv1+DBg/XTTz9p/vz5kqQiRYpo6NChatWq1UPnWb16daVLl06hoaEaMGCAQkNDVbx4cWXLlk3BwcGaMWOGDhw4oDNnzigyMjJJQfBhUnpZx/L09FTJkiX17bffateuXZowYYJ69+6tvHnz6urVqzLG6MyZM3GGslgPhoYHJeY9+eeffyo8PFw+Pj6S7oXoXbt2aefOnXJzc1N4eLhq165tvxhYaGioevToodDQUHl5eSX6B5sdO3bojz/+UHBwsPLkyeMwrGPHjtq6daumTZtmv+WLv7+/mjRpokWLFunAgQMqVqyYjh07pq1bt6pRo0YO5+7FvifnzJmTYA0PLq/4lktkZKRq1aqlPXv2qGzZsurQoYMyZ84sV1dXnTx5UjNmzHD4Qhm7nB88n1C694X5wdAWW+/+/fu1f//+RNebkpK6HSd1mTyK+M6DdHV1VUxMjP157IWKcubM+dBpJrf++N4jscvv448/fui8H2bGjBm6e/eu07nbvr6+atasmebNm6eVK1eqcePGkpL2usPCwmSz2R56u8TkfOYsWLBAI0aM0Lfffmu/qKGvr6+6dOmiESNG2H98njBhgvLly6fp06dr+PDhGj58uNKnT6/WrVtr7NixD70l5ZUrV/T000/r9OnTqlq1qurWrSt/f3+lS5dOe/fu1Q8//BDnukvsZ3fs8oxr+5XuvQeSGrqTKqnfH/z8/LR9+3YNHDhQS5cu1U8//SRJyp07t9577z29/vrrTtOIa9rp0qVT5syZH/miX0ePHlXFihUVHh6u4OBgNW3aVL6+vvYLD27YsCHFPh9iubi4KGfOnOrZs6fOnTunjz/+WP/73//s78XYbfSLL75IcDo3b95UlixZEnwfxLXskrMOkHZw9XIgjahataokxbkHIz6xf+D/+eefOIefP3/eoZ8k+6/wd+/eder/b175Mim/ysbW//nnn8vcOy0mzkenTp3s45QoUUILFy7UlStXtG3bNg0cOFDnz59XmzZttGXLlkTNs3z58tqyZYtu376tzZs324P1/XtgY6+Em5Kh22pubm4qV66coqOj7XsbYpdx+fLlE1zGD7sqbHLekw8uz9grOMcOW79+vW7cuKGdO3eqatWqiT6iIPYCaqGhoQ5Xv7XZbOrevbskaebMmQ5X0o0NIbEXTps9e7ZD+4Ovc+nSpQkur5o1azqMF9/7/ocfftCePXvUrVs37dmzR5MnT9bw4cM1ePBg+9Xm45r/hQsXnIbFxMQ4XZk+tn/Lli0TrHf69Olx1pcSkrodJ3WZ/BtiL8B25syZh/ZNbv3xvUdil194eHiCyy8xYq8MPmjQIKdtY968eZIcr/CflNft7+8vY4zOnTuXYL/kfOZ4eXlp+PDhOn78uI4fP66pU6eqcOHC9gu3xXJ1dVW/fv20f/9+nTlzRt9++62qV6+umTNn6sUXX3zoa5g6dapOnz6tYcOGafPmzfr88881bNgwDR48OEkXcYxP7I88cW2/UvyfnykpOZ/VefLkUUhIiC5evKhff/1Vo0ePVkxMjHr27Km5c+c6TSOuaUdHR+vy5cuPfMGvzz77TFevXlVISIhWr16t8ePHa+jQoRo8ePC/cvux2As+7ty5094Wu6x+//33BN/TsXvfE3ofxLdekroOkHYQuoE0onPnzkqXLp2++uor+6Ge8Yn99bZIkSJKnz69du7cGeftYmID4f1X+4w9JPLBL08xMTHx3tYkKWIPR3yUPbIPiv3jdv9hnonl5uamZ555RkOGDNHEiRNljNGyZcsSNW5wcLBu3bqlSZMm2fe+Svf+6BUoUEDr1q1TaGiovL297VfefhgXF5cUXTbJFXt18Ni9eD4+PipatKgOHjyYrNMFYpUtW1aS4rwtz19//aVjx44pf/789r3c0r2jClxdXe3Ls2TJkvY9UbVr19bFixf15ZdfKioqKlFXHZbu7UmYN2+evLy81K1btzgfpUqV0oULFxzeD40aNVLmzJn17bffKiYmRnPmzJGPj4/TVXAf5T0Zl9hDEeO62u6mTZuc2mKv0hzXD0i//PKL049qRYsWla+vr3bt2uV0u55/S1KXWVKXSXxS8jOpcOHC8vX11c6dOx1uDRaXlKo/Vuzyiz2ENbk2bdqkP//8UwUKFIh328iaNauWLVtmDwOxR5fE3vkgIYnt+6ifOfny5VPXrl21YcMGZciQId7b3gUEBKhdu3ZauXKlChYsqDVr1jgdKv6glF53D4rdfuOa1qlTp/6V24bFfi/YuHGj0481xhht3LjRod/9XFxcVKZMGfXv398e9OJa/nG9vm3btunu3bv2vxUJSWjbjW8dGWMS9cP6o3rwb6iU9M+4hN4HD3ufJXYdIO0gdANpRMGCBdW/f39dunRJDRs21IkTJ5z63LlzR+PGjbOfD+nu7q527drp0qVLGjlypEPflStXatWqVSpYsKB9L7okezh88L6q48aNi3OeSZUxY0bZbLYU/dJQsWJFVapUSXPnztV3333nNDwmJsbhvs27d++O85D62F+OY29X9TCxe2BHjx4tFxcXh8AXHBysdevW2fe+PnhOYXwyZcqkv//+O1F9rbJz505t2rRJbm5uqly5sr29d+/eunXrll555ZU4DzM+ceLEQw95bNasmfz8/DR9+nSHw5iNMXr33Xd19+5dh1sLSbLfu3jr1q3atGmT/ccNyXEd3P/8YRYsWKDr16/rhRde0DfffBPnI/aw8vv36Lm5ualNmzY6ffq0xowZoyNHjqhly5ZO54I2a9ZMefLk0bhx4+xfTu8XFRWVpNu7xe75eHCcDRs26Ouvv3bq36xZM2XIkEFTp051OHfw7t27+uijj5z6u7q6qkePHjp16pT69esXZ/D+448/4t3zlhKSuh0ndZnEJ1OmTJKUIp9Jrq6ueu211xQWFqY333zTKQyEhYXpxo0bklKu/livv/66XF1d9cYbb8R5D+Vr164l6jzZ2Pf7Bx98EO+28fLLLysqKsp+3/rnnntOuXLl0uzZs7Vq1Sqnad7/I2737t2VLl06ffjhh073qzfGOJwLnZTPnIsXL8Z5L/erV68qIiLC/rkeERGhrVu3OvW7efOmbty4ITc3N6fzrh8U37r79ttv7Yf0Popq1aopX758WrZsmcM8jDF6//33/5UfZvPkyaPg4GDt37/f6Z7oX331lQ4ePKjatWsrd+7cku6dmhLX3teE/q5OmDDB4e9dZGSk/VDsB/8OxCWhbTe+dTRq1Kg43ycp6c6dO5o0aZKke+dZx+rSpYt8fHz0wQcfxHkaz61btxx+NGvfvr3SpUuncePGOXz2hoeHa/jw4U7jJ2cdIO3gnG4gDRk+fLju3Lmjzz77TIULF1bt2rVVokQJubm56cSJE1qzZo0uX77s8GE8evRobdiwQcOHD9fWrVtVqVIlnTx5UgsWLJCXl5emT5/u8AWjS5cuGjNmjAYPHqy9e/eqQIEC2rVrl/744w/VrFnT4UtvcmTIkEFPP/20Nm7cqA4dOigoKEguLi7q0KHDI13QZO7cuQoODlbbtm01fvx4lStXTp6enjp9+rS2bdumixcv6s6dO5LuHRr85ZdfqkaNGipQoIB8fX114MAB/fTTT8qUKZPTBZ7iU61aNbm5uenixYsqW7asw4WTgoOD9c0339j/n1i1a9fW/Pnz1bx5c5UtW1bp0qXTc889p1KlSiVhaSTep59+ar8X9Z07d3TkyBEtXbpUd+/e1YgRIxzOu3zttde0fft2zZgxQ1u2bFHdunUVEBCgf/75R4cOHdKOHTv07bffOt1z/X6+vr76+uuv1a5dO1WqVElt2rRR1qxZtWbNGu3evVsVK1bUO++84zRecHCw/cvI/cszZ86cCgoK0pEjR+zvrcSIDRYJreu6desqV65cWrlypc6ePauAgABJ9w4lnzRpkgYOHGh//iAPDw8tXLhQDRs2VM2aNVW7dm2VLFlSNptNp06d0qZNm5Q5c+ZEX9iqadOmCgwM1JgxY/THH3+oRIkSOnz4sJYtW6YWLVo43dPW399f48aN06uvvqry5curbdu29vt0e3h4KCAgwClYDBkyRHv27NHEiRO1fPly1ahRQ9myZdOZM2f0+++/a9++fdq2bVu855mmhKRsx0ldJvEJDg6WzWbT+++/r/3798vPz0/+/v7Jvif50KFDtX37ds2aNUvbt29Xw4YN5eHhoePHj2vlypXavHmzypQpk2L1xypRooQmTZqkHj16qHDhwmrUqJEKFCig69ev6/jx49qwYYM6d+4c78XtpHtf5hcsWCBvb+8Er23RuXNnjRw5UlOnTlW/fv3k4eGh+fPnq0GDBmrYsKEaNGig0qVLKzw8XHv37tWtW7fsgb9kyZIaP368evfureLFi6t58+bKmzevzp8/r40bN6px48YaP368pKR95pw5c0Zly5ZV6dKlVapUKeXMmVOXL1/WDz/8oKioKPXr10/SvQtGVq1aVYUKFVL58uWVJ08e3bhxQ8uWLdP58+ftrychHTp00OjRo/XGG28oNDRUefPm1b59+7R27Vo9//zzWrx4cZLW3YNcXFz01VdfqVGjRqpbt679Pt3r1q3TuXPnVKpUKf3222+PNI/EmDx5sqpVq6ZXXnlFS5cuVbFixbR//379+OOPypo1qyZPnmzvu3r1ar3zzjv2ZZs5c2YdP35cP/74o9KnT6+ePXs6Tf+ZZ55R6dKl1aZNG3l7e2vp0qU6fPiwnn/+ebVs2fKh9dWuXVsLFy5Uy5Yt1bBhQ6VPn16lS5dW06ZN1b17d02fPl0tW7ZU69atlTlzZm3fvl179uxR48aNE7xuRFKsWbPG/pkUExOj8+fPa8WKFfr7779VpkwZh/Oos2bNqrlz56pVq1YqXbq0GjRooCJFiigiIkInT57Uhg0bVKVKFfsF7woWLKiBAwdq0KBBKlWqlFq3bi1XV1ctWrRIpUqV0uHDhx1qSc46QBryqJc/B5Dydu7cabp27WoKFixoPD09jYeHhwkMDDTt27c3q1evdup/8eJF07t3b5M3b17j5uZmsmTJYl544YV4b72zd+9eU6dOHePl5WV8fX1Ns2bNzJEjRxK8ZdiDt74yJv57ah8+fNg0atTI+Pv7G5vN5nC7nofdvie+aRpjzJUrV8yHH35oSpQoYTw9PU2GDBlMUFCQad++vVm8eLG93/bt281rr71mSpQoYfz9/Y2np6cJCgoyvXr1crov7sNUqVLF6VZZxty7F6j+/+1D4rp3dnzL7dy5c6Z169YmS5YsxsXFxaFPcpZ1fOK6ZZiLi4vJmjWradiwoVm2bFm843733Xembt26JmPGjMbNzc3kzJnT1KpVy4wdO9bhVkYJ1btx40bTsGFD4+/vb9zd3U2hQoXMRx99ZG7cuBHnPH/++WcjyaRLl85cu3bNYdirr75qJOf7Jcfn0KFD9tv3POzWQh988IHRA7cUM8aYoKAgI8nkypXL6RZA9/v777/Nm2++aYKCgoyHh4fx9fU1RYsWNS+//LJZu3atQ18lcLs4Y+7dc7Zly5Yma9asxsvLyzz99NNm3rx5Ca77BQsWmLJlyxoPDw+TLVs28/LLL5vLly+bDBkymNKlSzv1v3v3rvnyyy9N1apVja+vr/Hw8DB58uQxDRo0MJMnT453/dwvtp4H7/l7v9j3xoP36TYm8dtxcpZJXLcMM+beLdZKlixpPDw8jB64nVp84xgT/y2L7ty5Yz799FNTpkwZ+2soVqyY6du3r8P9opNa/8PeI8YY88svv5i2bduagIAA++d9uXLlzHvvvWe/vV58Ym+Ll5jbJlWtWtXplmJHjx413bp1M7ly5TJubm4mW7ZsplatWnHeIik0NNQ0adLEZMqUybi7u5tcuXKZli1bOkwvVmI+c65evWoGDx5satSoYXLkyGHc3d1NQECAadCggcO9wyMjI83o0aNNvXr1TK5cuYy7u7vJnj27qVGjhvn2228f+pkQa+/evaZevXomY8aMxsfHx9SsWdOsWbMmzs+9h92OKr71unHjRlOjRg3j6elpMmXKZFq1amVOnTqVpFtlxc47oc/HhLbZkydPmi5dupgcOXIYV1dXkyNHDtOlSxen+0wfOHDAvPnmm6Zs2bImc+bMxsPDw+TPn9906tTJ7N+/36Fv7HeJY8eOmVGjRpmCBQsad3d3kzdvXjN48GCH22ve/xoeXH5RUVGmf//+Jk+ePMbV1dWpT2hoqKlatarx8fEx/v7+plGjRmb37t1xfs9IqVuGeXt7mzJlypjhw4fHeatWY+79DerWrZvJmzevcXd3NxkzZjQlS5Y0vXv3Nr/88otT/6+//toUK1bMvp3069fP3Lp1y+l9k5R1gLTHZkwir7oBAADSvKNHjyooKEitW7eO8zBuALBS586dNWPGDJ04cSLBI6OAJwnndAMA8BiKPZf1frdv37Zfxbl58+apUBUAAHgQ53QDAPAY2rBhg7p166Z69eopT548unTpktatW6eTJ0+qdu3aatOmTWqXCAAAROgGAOCxVLx4cT377LPasmWLlixZIunehXmGDRumfv36PfQKzQAA4N/BOd0AAAAAAFiEn8EBAAAAALAIoRsAAAAAAItwTjfsYmJidPbsWfn4+Mhms6V2OQAAAACQZhljdP36dQUEBCR4LRVCN+zOnj2r3Llzp3YZAAAAAPDY+Ouvv5QrV654hxO6Yefj4yPp3pvG19c3lasBAAAAgLQrPDxcuXPntueo+BC6YRd7SLmvry+hGwAAAAAS4WGn5nIhNQAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIq6pXQDSnqiR7ysqvUdqlwEAAADgCeY2aGxql5Ai2NMNAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0P2YGDx4sMqUKWN/3rlzZzVv3jzV6gEAAAAAPNwTH7q3bdumdOnSqXHjxik63ZCQEPn7+6foNO83YcIEhYSEWDZ9AAAAAMCje+JD99SpU/XGG29o48aNOnv27L8+/8jIyGSN5+fnZ2moBwAAAAA8uic6dN+4cUPfffedevToocaNGzvsOY5rT/WSJUtks9nsz/ft26fg4GD5+PjI19dX5cuX165du7R+/Xp16dJFYWFhstlsstlsGjx4sCQpMDBQw4YNU8eOHeXr66tXX31VkvTuu++qUKFC8vLyUv78+fXRRx8pKioq3tofPLx85cqVqlatmvz9/ZU5c2Y1adJEx44de+RlBAAAAABIvic6dM+fP19FihRR4cKF9dJLL2natGkyxiR6/BdffFG5cuXSzp07tXv3br333ntyc3NTlSpVNH78ePn6+urcuXM6d+6c+vXrZx/v008/VenSpfXrr7/qo48+kiT5+PgoJCREBw4c0IQJE/T111/rs88+S3QtN2/e1Ntvv61du3Zp7dq1cnFxUYsWLRQTE5P4BQIAAAAASFGuqV1Aapo6dapeeuklSVKDBg0UFhamDRs2qFatWoka//Tp03rnnXdUpEgRSVJQUJB9mJ+fn2w2m5566imn8WrXrq2+ffs6tH344Yf2/wcGBqpfv36aN2+e+vfvn6haWrZs6fB82rRpypo1qw4cOKASJUrEOU5ERIQiIiLsz8PDwxM1LwAAAABA4jyxe7oPHz6sX375Re3atZMkubq6qk2bNpo6dWqip/H222/r5ZdfVt26dTVq1KhEH85doUIFp7bvvvtOVatW1VNPPaUMGTLoww8/1OnTpxNdy5EjR9SuXTvlz59fvr6+CgwMlKQEpzFy5Ej5+fnZH7lz5070/AAAAAAAD/fEhu6pU6fq7t27CggIkKurq1xdXTV58mQtWrRIYWFhcnFxcTrU/MFzrAcPHqz9+/ercePGWrdunYoVK6bvv//+ofP29vZ2eL5t2za9+OKLatSokZYtW6Zff/1VH3zwQZIusta0aVNduXJFX3/9tXbs2KEdO3ZISvhCbQMGDFBYWJj98ddffyV6fgAAAACAh3siDy+/e/euZs6cqbFjx6pevXoOw5o3b665c+cqb968un79um7evGkPyXv37nWaVqFChVSoUCG99dZbateunaZPn64WLVrI3d1d0dHRiapn69atyps3rz744AN726lTpxL9ei5fvqzDhw/r66+/VvXq1SVJmzdvfuh4Hh4e8vDwSPR8AAAAAABJ80SG7mXLlunq1avq1q2b/Pz8HIa1bNlSU6dO1apVq+Tl5aX3339fvXv31o4dOxyubn779m298847euGFF5QvXz79/fff2rlzp/3c6sDAQN24cUNr165V6dKl5eXlJS8vrzjrCQoK0unTpzVv3jw9/fTTWr58eaL2mMfKmDGjMmfOrK+++ko5cuTQ6dOn9d577yV9wQAAAAAAUtQTeXj51KlTVbduXafALd0L3bt27dLff/+t2bNn66efflLJkiU1d+5c+22/JCldunS6fPmyOnbsqEKFCql169Zq2LChhgwZIkmqUqWKunfvrjZt2ihr1qwaM2ZMvPU899xzeuutt9SrVy+VKVNGW7dutV/VPDFcXFw0b9487d69WyVKlNBbb72lTz75JPELBAAAAABgCZtJyj2y8J8WHh4uPz8/XXqvp3zTc9g5AAAAgNTjNmhsapeQoNj8FBYWJl9f33j7PZF7ugEAAAAA+DcQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsIhraheAtMdtwAi5+fqmdhkAAAAA8NhjTzcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABZxTe0CkPZEjXxfUek9UrsMAAAAAE8wt0FjU7uEFMGebgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoTux5jNZtOSJUtSuwwAAAAAQDwI3Q9x/vx5vfHGG8qfP788PDyUO3duNW3aVGvXrk3t0gAAAAAAaZxraheQlp08eVJVq1aVv7+/PvnkE5UsWVJRUVFatWqVevbsqUOHDqV2iQAAAACANIw93Ql4/fXXZbPZ9Msvv6hly5YqVKiQihcvrrffflvbt2+XJI0bN04lS5aUt7e3cufOrddff103btywTyMkJET+/v5atWqVihYtqgwZMqhBgwY6d+6cvc/OnTv17LPPKkuWLPLz81PNmjW1Z88eh1qOHDmiGjVqKH369CpWrJhWr17tVO+7776rQoUKycvLS/nz59dHH32kqKgoi5YOAAAAAOBhCN3xuHLlilauXKmePXvK29vbabi/v78kycXFRRMnTtT+/fs1Y8YMrVu3Tv3793foe+vWLX366aeaNWuWNm7cqNOnT6tfv3724devX1enTp20efNmbd++XUFBQWrUqJGuX78uSYqJidHzzz8vd3d37dixQ1OmTNG7777rVJOPj49CQkJ04MABTZgwQV9//bU+++yzFFwqAAAAAICk4PDyeBw9elTGGBUpUiTBfn369LH/PzAwUMOHD1f37t01adIke3tUVJSmTJmiAgUKSJJ69eqloUOH2ofXrl3bYZpfffWV/P39tWHDBjVp0kRr1qzRoUOHtGrVKgUEBEiSRowYoYYNGzqM9+GHHzrU0q9fP82bN8/pR4BYERERioiIsD8PDw9P8LUCAAAAAJKGPd3xMMYkqt+aNWtUp04d5cyZUz4+PurQoYMuX76sW7du2ft4eXnZA7ck5ciRQxcuXLA//+eff/TKK68oKChIfn5+8vX11Y0bN3T69GlJ0sGDB5U7d2574JakypUrO9Xy3XffqWrVqnrqqaeUIUMGffjhh/ZpxGXkyJHy8/OzP3Lnzp2o1wwAAAAASBxCdzyCgoJks9kSvFjayZMn1aRJE5UqVUqLFi3S7t279cUXX0iSIiMj7f3c3NwcxrPZbA6hvlOnTtq7d68mTJigrVu3au/evcqcObPDNB5m27ZtevHFF9WoUSMtW7ZMv/76qz744IMEpzFgwACFhYXZH3/99Vei5wcAAAAAeDgOL49HpkyZVL9+fX3xxRfq3bu303nd165d0+7duxUTE6OxY8fKxeXe7xfz589P8ry2bNmiSZMmqVGjRpKkv/76S5cuXbIPL1q0qP766y+dO3dOOXLkkCT7hdxibd26VXnz5tUHH3xgbzt16lSC8/Xw8JCHh0eS6wUAAAAAJA57uhPwxRdfKDo6WhUrVtSiRYt05MgRHTx4UBMnTlTlypVVsGBBRUVF6fPPP9fx48c1a9YsTZkyJcnzCQoK0qxZs3Tw4EHt2LFDL774ojw9Pe3D69atq0KFCqlTp07at2+fNm3a5BCuY6dx+vRpzZs3T8eOHdPEiRP1/fffP/IyAAAAAAAkH6E7Afnz59eePXsUHBysvn37qkSJEnr22We1du1aTZ48WaVLl9a4ceM0evRolShRQnPmzNHIkSOTPJ+pU6fq6tWrKleunDp06KDevXsrW7Zs9uEuLi76/vvvdfv2bVWsWFEvv/yyPv74Y4dpPPfcc3rrrbfUq1cvlSlTRlu3btVHH330yMsAAAAAAJB8NpPYK4bhPy88PFx+fn669F5P+abnsHMAAAAAqcdt0NjULiFBsfkpLCxMvr6+8fZjTzcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBHX1C4AaY/bgBFy8/VN7TIAAAAA4LHHnm4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACzimtoFIO2JGvm+otJ7pHYZAAAAAJ5gboPGpnYJKYI93QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdaUhgYKDGjx+f2mUAAAAAAFIIoTsZbDZbgo/BgwendokAAAAAgDTANbULeBydO3fO/v/vvvtOAwcO1OHDh+1tGTJkSNL0IiMj5e7unmL1AQAAAADSBvZ0J8NTTz1lf/j5+clms9mfT5kyRdWqVXPoP378eAUGBtqfd+7cWc2bN9fHH3+sgIAAFS5cOM75fPPNN/L399fatWslSX/88YcaNmyoDBkyKHv27OrQoYMuXbokSZo5c6YyZ86siIgIh2k0b95cHTp0SMFXDwAAAABILEJ3Klm7dq0OHz6s1atXa9myZU7Dx4wZo/fee08///yz6tSpo2vXrql27doqW7asdu3apZUrV+qff/5R69atJUmtWrVSdHS0fvzxR/s0Lly4oOXLl6tr165x1hAREaHw8HCHBwAAAAAg5XB4eSrx9vbWN998E+dh5e+++65mzZqlDRs2qHjx4pKk//3vfypbtqxGjBhh7zdt2jTlzp1bf/75pwoVKqT27dtr+vTpatWqlSRp9uzZypMnj2rVqhVnDSNHjtSQIUNS/sUBAAAAACQRulNNyZIl4wzcY8eO1c2bN7Vr1y7lz5/f3r5v3z6FhobGeb74sWPHVKhQIb3yyit6+umndebMGeXMmVMhISHq3LmzbDZbnDUMGDBAb7/9tv15eHi4cufOnQKvDgAAAAAgEbpTnIuLi4wxDm1RUVFO/by9veMcv3r16lq+fLnmz5+v9957z95+48YNNW3aVKNHj3YaJ0eOHJKksmXLqnTp0po5c6bq1aun/fv3a/ny5fHW6uHhIQ8Pj0S9LgAAAABA0hG6U1jWrFl1/vx5GWPse5j37t2b6PErVqyoXr16qUGDBnJ1dVW/fv0kSeXKldOiRYsUGBgoV9f4V9vLL7+s8ePH68yZM6pbty57rgEAAAAgFXEhtRRWq1YtXbx4UWPGjNGxY8f0xRdfaMWKFUmaRpUqVfTTTz9pyJAhGj9+vCSpZ8+eunLlitq1a6edO3fq2LFjWrVqlbp06aLo6Gj7uO3bt9fff/+tr7/+Ot4LqAEAAAAA/h2E7hRWtGhRTZo0SV988YVKly6tX375xb63OimqVaum5cuX68MPP9Tnn3+ugIAAbdmyRdHR0apXr55KliypPn36yN/fXy4u/7ca/fz81LJlS2XIkEHNmzdPwVcGAAAAAEgqm3nwBGQ89urUqaPixYtr4sSJSRovPDxcfn5+uvReT/mm51xvAAAAAKnHbdDY1C4hQbH5KSwsTL6+vvH245zu/5CrV69q/fr1Wr9+vSZNmpTa5QAAAADAE4/Q/R9StmxZXb16VaNHj1bhwoVTuxwAAAAAeOIRuv9DTp48mdolAAAAAADuw4XUAAAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsIhraheAtMdtwAi5+fqmdhkAAAAA8NhjTzcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYJFkh+4dO3akZB0AAAAAAPznJDt0V65cWYUKFdKwYcN0/PjxlKwJAAAAAID/hGSH7tmzZysoKEjDhg1TUFCQqlatqilTpujKlSspWR8AAAAAAI+tZIfu9u3ba/ny5Tp79qwmTJggY4xef/11BQQEqHnz5lq4cKEiIyNTslYAAAAAAB4rNmOMSamJHTt2TN9++63mzJmjI0eOyM/PTy+88II6duyoatWqpdRsYJHw8HD5+fnp0ns95ZveI7XLAQAAAPAEcxs0NrVLSFBsfgoLC5Ovr2+8/VL06uWenp7y8vJS+vTpZYyRzWbTDz/8oJo1a+rpp5/WgQMHUnJ2AAAAAACkaY8cuq9fv67p06erbt26yps3r95//30FBgZq4cKFOn/+vM6ePavvvvtOFy5cUJcuXVKiZgAAAAAAHguuyR3xhx9+0Jw5c7Rs2TLduXNHTz/9tMaPH6+2bdsqc+bMDn1feOEFXb16VT179nzkggEAAAAAeFwkO3S3aNFCuXPn1ltvvaWOHTuqcOHCCfYvXbq0XnzxxeTODgAAAACAx06yQ/e6detUq1atRPevWLGiKlasmNzZAQAAAADw2EnWOd23bt1Sy5Yt9emnn6Z0PQAAAAAA/GckK3R7eXnJ1dVVXl5eKV0PAAAAAAD/Gcm+ennLli21cOFCpeBtvgEAAAAA+E9J9jndbdu21euvv67g4GC98sorCgwMlKenp1O/cuXKPVKBAAAAAAA8rpIduu+/iNqmTZuchhtjZLPZFB0dndxZAAAAAADwWEt26J42bZpsNltK1gIAAAAAwH9KskN3586dU7AMAAAAAAD+e5J9IbXatWtr7dq18Q4PDQ1V7dq1kzt5AAAAAAAee8kO3evXr9c///wT7/ALFy5ow4YNyZ08AAAAAACPvWSHbkkJntN99OhR+fj4PMrkAQAAAAB4rCXpnO4ZM2ZoxowZ9ufDhw/X119/7dTv2rVr+u2339SoUaNHrxAAAAAAgMdUkkL3rVu3dPHiRfvz69evy8XFcWe5zWaTt7e3unfvroEDB6ZMlQAAAAAAPIaSFLp79OihHj16SJLy5cunCRMm6LnnnrOkMAAAAAAAHnfJvmXYiRMnUrIOAAAAAAD+c5IdumNdv35dp06d0tWrV2WMcRpeo0aNR50FAAAAAACPpWSH7kuXLumNN97QokWLFB0d7TTcGCObzRbnMAAAAAAAngTJDt2vvvqqli5dqt69e6t69erKmDFjStb1r+vcubOuXbumJUuWSJJq1aqlMmXKaPz48Wminrikdo0AAAAAgIQlO3T//PPPeuuttzRmzJgUK+bixYsaOHCgli9frn/++UcZM2ZU6dKlNXDgQFWtWjXF5pMYixcvlpub20P73b59Wzlz5pSLi4vOnDkjDw+Pf6G6exJbIwAAAAAgdSQ7dHt5eSkwMDAFS5FatmypyMhIzZgxQ/nz59c///yjtWvX6vLlyyk6n8TIlClTovotWrRIxYsXlzFGS5YsUZs2bRLsHxUVlWJBObE1AgAAAABSh8vDu8TtpZde0vfff59ihVy7dk2bNm3S6NGjFRwcrLx586pixYoaMGCAw23Jxo0bp5IlS8rb21u5c+fW66+/rhs3btiHDx48WGXKlHGY9vjx4x1+IIiOjtbbb78tf39/Zc6cWf3793e6CFytWrXUp0+fh9Y9depUvfTSS3rppZc0depUp+E2m02TJ0/Wc889J29vb3388ceKjo5Wt27dlC9fPnl6eqpw4cKaMGFCnNMfMmSIsmbNKl9fX3Xv3l2RkZHx1jhr1ixVqFBBPj4+euqpp9S+fXtduHDhoa8BAAAAAGCNZIfuF154QVeuXFGDBg20ePFi7dy5U3v27HF6JFaGDBmUIUMGLVmyRBEREfEX7OKiiRMnav/+/ZoxY4bWrVun/v37J6n2sWPHKiQkRNOmTdPmzZt15cqVZP2AcOzYMW3btk2tW7dW69attWnTJp06dcqp3+DBg9WiRQv9/vvv6tq1q2JiYpQrVy4tWLBABw4c0MCBA/X+++9r/vz5DuOtXbtWBw8e1Pr16zV37lwtXrxYQ4YMibeeqKgoDRs2TPv27dOSJUt08uRJde7cOd7+ERERCg8Pd3gAAAAAAFJOsg8vr1atmv3/q1evdhqe1KuXu7q6KiQkRK+88oqmTJmicuXKqWbNmmrbtq1KlSpl73f/nt3AwEANHz5c3bt316RJkxJd+/jx4zVgwAA9//zzkqQpU6Zo1apViR4/1rRp09SwYUP7ReTq16+v6dOna/DgwQ792rdvry5duji03R+e8+XLp23btmn+/Plq3bq1vd3d3V3Tpk2Tl5eXihcvrqFDh+qdd97RsGHD5OLi/HtJ165d7f/Pnz+/Jk6cqKefflo3btxQhgwZnPqPHDkywRAPAAAAAHg0yQ7d06dPT8k6JN07p7tx48batGmTtm/frhUrVmjMmDH65ptv7Hts16xZo5EjR+rQoUMKDw/X3bt3defOHd26dUteXl4PnUdYWJjOnTunSpUq2dtcXV1VoUKFOO8zHp/o6GjNmDHD4bDwl156Sf369dPAgQMdQnGFChWcxv/iiy80bdo0nT59Wrdv31ZkZKTTYfGlS5d2eE2VK1fWjRs39Ndffylv3rxO09y9e7cGDx6sffv26erVq4qJiZEknT59WsWKFXPqP2DAAL399tv25+Hh4cqdO3eilwEAAAAAIGHJDt2dOnVKyTrs0qdPr2effVbPPvusPvroI7388ssaNGiQOnfurJMnT6pJkybq0aOHPv74Y2XKlEmbN29Wt27dFBkZKS8vL7m4uDiF56ioqBSvc9WqVTpz5ozThdOio6O1du1aPfvss/Y2b29vhz7z5s1Tv379NHbsWFWuXFk+Pj765JNPtGPHjmTXc/PmTdWvX1/169fXnDlzlDVrVp0+fVr169d3OA/8fh4eHv/q1dYBAAAA4EmT7HO6/y3FihXTzZs3Jd3bkxsTE6OxY8fqmWeeUaFChXT27FmH/lmzZtX58+cdgvfevXvt//fz81OOHDkcAu7du3e1e/fuJNU1depUtW3bVnv37nV4tG3bNs4Lqt1vy5YtqlKlil5//XWVLVtWBQsW1LFjx5z67du3T7dv37Y/3759uzJkyBDn3uhDhw7p8uXLGjVqlKpXr64iRYpwETUAAAAASGXJ3tN9//nD8bHZbA8NoLEuX76sVq1aqWvXripVqpR8fHy0a9cujRkzRs2aNZMkFSxYUFFRUfr888/VtGlTbdmyRVOmTHGYTq1atXTx4kWNGTNGL7zwglauXKkVK1bI19fX3ufNN9/UqFGjFBQUpCJFimjcuHG6du1aol/7xYsXtXTpUv34448qUaKEw7COHTuqRYsWunLlSry39AoKCtLMmTO1atUq5cuXT7NmzdLOnTuVL18+h36RkZHq1q2bPvzwQ508eVKDBg1Sr1694jyfO0+ePHJ3d9fnn3+u7t27648//tCwYcMS/ZoAAAAAACkv2aF73bp1stlsDm3R0dE6d+6coqOjlTVrVqfDqhOSIUMGVapUSZ999pmOHTumqKgo5c6dW6+88oref/99SffOcR43bpxGjx6tAQMGqEaNGho5cqQ6duxon07RokU1adIkjRgxQsOGDVPLli3Vr18/ffXVV/Y+ffv21blz59SpUye5uLioa9euatGihcLCwhJV68yZM+Xt7a06deo4DatTp448PT01e/Zs9e7dO87xX3vtNf36669q06aNbDab2rVrp9dff10rVqxwmlZQUJBq1KihiIgItWvXzukibbGyZs2qkJAQvf/++5o4caLKlSunTz/91OF2awAAAACAf5fNJOXqYYkQFRWlL7/8UuPHj9fq1aud9t4i7QoPD5efn58uvddTvuk51xsAAABA6nEbNDa1S0hQbH4KCwtzOLL6QSl+Trebm5t69eqlevXqqVevXik9eQAAAAAAHhuWXUitdOnS2rhxo1WTBwAAAAAgzbMsdK9evTpR980GAAAAAOC/KtkXUhs6dGic7deuXdPGjRu1Z88evffee8kuDAAAAACAx12yQ3d8V9HOmDGjChQooClTpuiVV15J7uQBAAAAAHjsJTt0x8TEpGQdAAAAAAD851h2TjcAAAAAAE+6ZO/pjrVhwwYtX75cp06dkiTlzZtXjRs3Vs2aNR+5OAAAAAAAHmfJDt2RkZFq166dlixZImOM/P39Jd27kNrYsWPVokULzZ07V25ubilVKwAAAAAAj5VkH14+ZMgQff/99+rbt6/OnTunK1eu6MqVKzp//rz69eunxYsXx3uFcwAAAAAAngQ2Y4xJzoj58uVTrVq1NH369DiHd+7cWevXr9fJkycfpT78i8LDw+Xn56dL7/WUb3qP1C4HAAAAwBPMbdDY1C4hQbH5KSwsTL6+vvH2S/ae7nPnzqlSpUrxDq9UqZLOnz+f3MkDAAAAAPDYS3bozpUrl9avXx/v8A0bNihXrlzJnTwAAAAAAI+9ZIfuTp06af78+erevbsOHz6s6OhoxcTE6PDhw+rRo4cWLFigzp07p2CpAAAAAAA8XpJ99fL3339fx44d01dffaWvv/5aLi738ntMTIyMMerUqZPef//9FCsUAAAAAIDHTbJDd7p06RQSEqK3335bP/30k8N9uhs1aqRSpUqlWJEAAAAAADyOkhS679y5oz59+qh48eJ64403JEmlSpVyCtgTJ07UlClTNGHCBO7TDQAAAAB4YiXpnO6vvvpKISEhaty4cYL9GjdurGnTpumbb755pOIAAAAAAHicJSl0z58/Xy1btlT+/PkT7FegQAG1atVKc+fOfaTiAAAAAAB4nCUpdP/++++qVq1aovpWqVJFv/32W7KKAgAAAADgvyBJ53RHRkbK3d09UX3d3d0VERGRrKKQutwGjJCbr29qlwEAAAAAj70k7ekOCAjQH3/8kai+f/zxhwICApJVFAAAAAAA/wVJCt1169bVzJkzdeHChQT7XbhwQTNnztSzzz77SMUBAAAAAPA4S1Lofvfdd3Xnzh3Vrl1bO3bsiLPPjh07VKdOHd25c0fvvPNOihQJAAAAAMDjKEnndOfPn1/z589Xu3btVKVKFeXPn18lS5aUj4+Prl+/rj/++EPHjh2Tl5eX5s2bpwIFClhVNwAAAAAAaZ7NGGOSOtLJkyc1evRoLVu2TGfOnLG3BwQEqEmTJurfv/9DbyuGtCc8PFx+fn4KCwuTLxdSAwAAAIB4JTY/JSt03+/69esKDw+Xr6+vfHx8HmVSSGWEbgAAAABInMTmpyQdXh4XHx8fwjYAAAAAAHFI0oXUAAAAAABA4hG6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIs88tXL8d8TNfJ9RaX3SO0yAAAAADzB3AaNTe0SUgR7ugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC606j169fLZrPp2rVrqV0KAAAAACCZCN1J0LlzZ9lsNnXv3t1pWM+ePWWz2dS5c+cUmVeVKlV07tw5+fn5pcj0AAAAAAD/PkJ3EuXOnVvz5s3T7du37W137tzRt99+qzx58qTYfNzd3fXUU0/JZrOl2DQBAAAAAP8uQncSlStXTrlz59bixYvtbYsXL1aePHlUtmxZe1tMTIxGjhypfPnyydPTU6VLl9bChQslScYY1a1bV/Xr15cxRpJ05coV5cqVSwMHDpQU9+HlW7ZsUa1ateTl5aWMGTOqfv36unr1qiQpIiJCvXv3VrZs2ZQ+fXpVq1ZNO3futHpxAAAAAAASQOhOhq5du2r69On259OmTVOXLl0c+owcOVIzZ87UlClTtH//fr311lt66aWXtGHDBtlsNs2YMUM7d+7UxIkTJUndu3dXzpw57aH7QXv37lWdOnVUrFgxbdu2TZs3b1bTpk0VHR0tSerfv78WLVqkGTNmaM+ePSpYsKDq16+vK1euWLQUAAAAAAAP45raBTyOXnrpJQ0YMECnTp2SdG8P9Lx587R+/XpJ9/Y6jxgxQmvWrFHlypUlSfnz59fmzZv15ZdfqmbNmsqZM6e+/PJLdezYUefPn9dPP/2kX3/9Va6uca+SMWPGqEKFCpo0aZK9rXjx4pKkmzdvavLkyQoJCVHDhg0lSV9//bVWr16tqVOn6p133olzmhEREYqIiLA/Dw8Pf7QFAwAAAABwQOhOhqxZs6px48YKCQmRMUaNGzdWlixZ7MOPHj2qW7du6dlnn3UYLzIy0uEQ9FatWun777/XqFGjNHnyZAUFBcU7z71796pVq1ZxDjt27JiioqJUtWpVe5ubm5sqVqyogwcPxjvNkSNHasiQIQ99vQAAAACA5CF0J1PXrl3Vq1cvSdIXX3zhMOzGjRuSpOXLlytnzpwOwzw8POz/v3Xrlnbv3q106dLpyJEjCc7P09MzJcp2MGDAAL399tv25+Hh4cqdO3eKzwcAAAAAnlSc051MDRo0UGRkpKKiolS/fn2HYcWKFZOHh4dOnz6tggULOjzuD7V9+/aVi4uLVqxYoYkTJ2rdunXxzq9UqVJau3ZtnMMKFCggd3d3bdmyxd4WFRWlnTt3qlixYvFO08PDQ76+vg4PAAAAAEDKYU93MqVLl85+6Ha6dOkchvn4+Khfv3566623FBMTo2rVqiksLExbtmyRr6+vOnXqpOXLl2vatGnatm2bypUrp3feeUedOnXSb7/9powZMzrNb8CAASpZsqRef/11de/eXe7u7goNDVWrVq2UJUsW9ejRQ++8844yZcqkPHnyaMyYMbp165a6dev2rywPAAAAAIAz9nQ/goT2Dg8bNkwfffSRRo4cqaJFi6pBgwZavny58uXLp4sXL6pbt24aPHiwypUrJ0kaMmSIsmfPru7du8c5vUKFCunnn3/Wvn37VLFiRVWuXFk//PCD/cJro0aNUsuWLdWhQweVK1dOR48e1apVq+IM8AAAAACAf4fNxN4oGk+88PBw+fn56dJ7PeWb3uPhIwAAAACARdwGjU3tEhIUm5/CwsISPFWXPd0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEVcU7sApD1uA0bIzdc3tcsAAAAAgMcee7oBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALCIa2oXgLQnauT7ikrvkdplAAAAAHiCuQ0am9olpAj2dAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUJ3GlerVi316dPHqT0kJET+/v6SpMGDB6tMmTIOwzdt2iR/f3/16dNHxhjrCwUAAAAAOCF0/wctX75c9evX19tvv63x48fLZrOldkkAAAAA8ERyTe0CkLK+/fZbdenSRWPHjlWvXr1SuxwAAAAAeKKxp/s/5IsvvlCXLl00bdo0AjcAAAAApAHs6f6POHjwoHr16qWpU6fqxRdfTNQ4ERERioiIsD8PDw+3qjwAAAAAeCKxp/s/IleuXCpXrpw++eQTnTt3LlHjjBw5Un5+fvZH7ty5La4SAAAAAJ4shO40ztfXV2FhYU7t165dk5+fn/25j4+P1qxZI29vbwUHBycqeA8YMEBhYWH2x19//ZWitQMAAADAk47QncYVLlxYe/bscWrfs2ePChUq5NCWMWNGrVmzRr6+vqpVq5bOnj2b4LQ9PDzk6+vr8AAAAAAApBxCdxrXo0cP/fnnn+rdu7d+++03HT58WOPGjdPcuXPVt29fp/7+/v5avXq1MmbMmKjgDQAAAACwDqE7jcufP782btyoQ4cOqW7duqpUqZLmz5+vBQsWqEGDBnGO4+fnp59//llZsmRRzZo1debMmX+5agAAAACAJNmMMSa1i0DaEB4eLj8/P116r6d803ukdjkAAAAAnmBug8amdgkJis1PYWFhCZ6qy55uAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAirqldANIetwEj5Obrm9plAAAAAMBjjz3dAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYxDW1C0DaEzXyfUWl90jtMgAAAAA84dwGjU3tEh4Ze7oBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihOxk6d+4sm83m9Dh69GhqlwYAAAAASENcU7uAx1WDBg00ffp0h7asWbM6PI+MjJS7u/u/WRYAAAAAIA1hT3cyeXh46KmnnnJ41KlTR7169VKfPn2UJUsW1a9fX5I0btw4lSxZUt7e3sqdO7def/113bhxwz6tkJAQ+fv7a9WqVSpatKgyZMigBg0a6Ny5cw7znDZtmooXLy4PDw/lyJFDvXr1sg+7du2aXn75ZWXNmlW+vr6qXbu29u3b9+8sDAAAAABAnAjdKWzGjBlyd3fXli1bNGXKFEmSi4uLJk6cqP3792vGjBlat26d+vfv7zDerVu39Omnn2rWrFnauHGjTp8+rX79+tmHT548WT179tSrr76q33//XT/++KMKFixoH96qVStduHBBK1as0O7du1WuXDnVqVNHV65cibfWiIgIhYeHOzwAAAAAACnHZowxqV3E46Zz586aPXu20qdPb29r2LChLl68qPDwcO3ZsyfB8RcuXKju3bvr0qVLku7t6e7SpYuOHj2qAgUKSJImTZqkoUOH6vz585KknDlzqkuXLho+fLjT9DZv3qzGjRvrwoUL8vDwsLcXLFhQ/fv316uvvhpnHYMHD9aQIUOc2i+911O+6T3iGAMAAAAA/j1ug8amdgnxCg8Pl5+fn8LCwuTr6xtvP87pTqbg4GBNnjzZ/tzb21vt2rVT+fLlnfquWbNGI0eO1KFDhxQeHq67d+/qzp07unXrlry8vCRJXl5e9sAtSTly5NCFCxckSRcuXNDZs2dVp06dOGvZt2+fbty4ocyZMzu03759W8eOHYv3NQwYMEBvv/22/Xl4eLhy586diFcPAAAAAEgMQncyeXt7OxzefX/7/U6ePKkmTZqoR48e+vjjj5UpUyZt3rxZ3bp1U2RkpD10u7m5OYxns9kUexCCp6dngrXcuHFDOXLk0Pr1652G+fv7xzueh4eHw55xAAAAAEDKInRbbPfu3YqJidHYsWPl4nLvFPr58+cnaRo+Pj4KDAzU2rVrFRwc7DS8XLlyOn/+vFxdXRUYGJgSZQMAAAAAUgAXUrNYwYIFFRUVpc8//1zHjx/XrFmz7BdYS4rBgwdr7Nixmjhxoo4cOaI9e/bo888/lyTVrVtXlStXVvPmzfXzzz/r5MmT2rp1qz744APt2rUrpV8SAAAAACCRCN0WK126tMaNG6fRo0erRIkSmjNnjkaOHJnk6XTq1Enjx4/XpEmTVLx4cTVp0kRHjhyRdO9Q9J9++kk1atRQly5dVKhQIbVt21anTp1S9uzZU/olAQAAAAASiauXwy726ntcvRwAAABAWvBfuHo5e7oBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIu4pnYBSHvcBoyQm69vapcBAAAAAI899nQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBHX1C4AaYcxRpIUHh6eypUAAAAAQNoWm5tic1R8CN2wu3z5siQpd+7cqVwJAAAAADwerl+/Lj8/v3iHE7phlylTJknS6dOnE3zTIG0IDw9X7ty59ddff8nX1ze1y0ECWFePF9bX44X19fhgXT1eWF+PF9ZX6jDG6Pr16woICEiwH6Ebdi4u907x9/PzY2N9jPj6+rK+HhOsq8cL6+vxwvp6fLCuHi+sr8cL6+vfl5idlVxIDQAAAAAAixC6AQAAAACwCKEbdh4eHho0aJA8PDxSuxQkAuvr8cG6erywvh4vrK/HB+vq8cL6erywvtI2m3nY9c0BAAAAAECysKcbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQuiFJ+uKLLxQYGKj06dOrUqVK+uWXX1K7JEjauHGjmjZtqoCAANlsNi1ZssRhuDFGAwcOVI4cOeTp6am6devqyJEjqVMsNHLkSD399NPy8fFRtmzZ1Lx5cx0+fNihz507d9SzZ09lzpxZGTJkUMuWLfXPP/+kUsVPrsmTJ6tUqVL2+5lWrlxZK1assA9nPaVto0aNks1mU58+fextrLO0Y/DgwbLZbA6PIkWK2IezrtKWM2fO6KWXXlLmzJnl6empkiVLateuXfbhfNdIOwIDA522LZvNpp49e0pi20rLCN3Qd999p7fffluDBg3Snj17VLp0adWvX18XLlxI7dKeeDdv3lTp0qX1xRdfxDl8zJgxmjhxoqZMmaIdO3bI29tb9evX1507d/7lSiFJGzZsUM+ePbV9+3atXr1aUVFRqlevnm7evGnv89Zbb2np0qVasGCBNmzYoLNnz+r5559PxaqfTLly5dKoUaO0e/du7dq1S7Vr11azZs20f/9+SayntGznzp368ssvVapUKYd21lnaUrx4cZ07d87+2Lx5s30Y6yrtuHr1qqpWrSo3NzetWLFCBw4c0NixY5UxY0Z7H75rpB07d+502K5Wr14tSWrVqpUktq00zeCJV7FiRdOzZ0/78+joaBMQEGBGjhyZilXhQZLM999/b38eExNjnnrqKfPJJ5/Y265du2Y8PDzM3LlzU6FCPOjChQtGktmwYYMx5t76cXNzMwsWLLD3OXjwoJFktm3bllpl4v/LmDGj+eabb1hPadj169dNUFCQWb16talZs6Z58803jTFsW2nNoEGDTOnSpeMcxrpKW959911TrVq1eIfzXSNte/PNN02BAgVMTEwM21Yax57uJ1xkZKR2796tunXr2ttcXFxUt25dbdu2LRUrw8OcOHFC58+fd1h3fn5+qlSpEusujQgLC5MkZcqUSZK0e/duRUVFOayzIkWKKE+ePKyzVBQdHa158+bp5s2bqly5MuspDevZs6caN27ssG4ktq206MiRIwoICFD+/Pn14osv6vTp05JYV2nNjz/+qAoVKqhVq1bKli2bypYtq6+//to+nO8aaVdkZKRmz56trl27ymazsW2lcYTuJ9ylS5cUHR2t7NmzO7Rnz55d58+fT6WqkBix64d1lzbFxMSoT58+qlq1qkqUKCHp3jpzd3eXv7+/Q1/WWer4/ffflSFDBnl4eKh79+76/vvvVaxYMdZTGjVv3jzt2bNHI0eOdBrGOktbKlWqpJCQEK1cuVKTJ0/WiRMnVL16dV2/fp11lcYcP35ckydPVlBQkFatWqUePXqod+/emjFjhiS+a6RlS5Ys0bVr19S5c2dJfA6mda6pXQAA/Bf17NlTf/zxh8N5jEhbChcurL179yosLEwLFy5Up06dtGHDhtQuC3H466+/9Oabb2r16tVKnz59apeDh2jYsKH9/6VKlVKlSpWUN29ezZ8/X56enqlYGR4UExOjChUqaMSIEZKksmXL6o8//tCUKVPUqVOnVK4OCZk6daoaNmyogICA1C4FicCe7idclixZlC5dOqcrG/7zzz966qmnUqkqJEbs+mHdpT29evXSsmXLFBoaqly5ctnbn3rqKUVGRuratWsO/VlnqcPd3V0FCxZU+fLlNXLkSJUuXVoTJkxgPaVBu3fv1oULF1SuXDm5urrK1dVVGzZs0MSJE+Xq6qrs2bOzztIwf39/FSpUSEePHmX7SmNy5MihYsWKObQVLVrUfjoA3zXSplOnTmnNmjV6+eWX7W1sW2kbofsJ5+7urvLly2vt2rX2tpiYGK1du1aVK1dOxcrwMPny5dNTTz3lsO7Cw8O1Y8cO1l0qMcaoV69e+v7777Vu3Trly5fPYXj58uXl5ubmsM4OHz6s06dPs87SgJiYGEVERLCe0qA6dero999/1969e+2PChUq6MUXX7T/n3WWdt24cUPHjh1Tjhw52L7SmKpVqzrd2vLPP/9U3rx5JfFdI62aPn26smXLpsaNG9vb2LbSuNS+khtS37x584yHh4cJCQkxBw4cMK+++qrx9/c358+fT+3SnnjXr183v/76q/n111+NJDNu3Djz66+/mlOnThljjBk1apTx9/c3P/zwg/ntt99Ms2bNTL58+czt27dTufInU48ePYyfn59Zv369OXfunP1x69Yte5/u3bubPHnymHXr1pldu3aZypUrm8qVK6di1U+m9957z2zYsMGcOHHC/Pbbb+a9994zNpvN/Pzzz8YY1tPj4P6rlxvDOktL+vbta9avX29OnDhhtmzZYurWrWuyZMliLly4YIxhXaUlv/zyi3F1dTUff/yxOXLkiJkzZ47x8vIys2fPtvfhu0baEh0dbfLkyWPeffddp2FsW2kXoRvGGGM+//xzkydPHuPu7m4qVqxotm/fntolwRgTGhpqJDk9OnXqZIy5dyuPjz76yGTPnt14eHiYOnXqmMOHD6du0U+wuNaVJDN9+nR7n9u3b5vXX3/dZMyY0Xh5eZkWLVqYc+fOpV7RT6iuXbuavHnzGnd3d5M1a1ZTp04de+A2hvX0OHgwdLPO0o42bdqYHDlyGHd3d5MzZ07Tpk0bc/ToUftw1lXasnTpUlOiRAnj4eFhihQpYr766iuH4XzXSFtWrVplJMW5Dti20i6bMcakyi52AAAAAAD+4zinGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAACkGJvNpsGDBye6b69evawtCP+KmJgYlShRQh9//HGKTfOZZ55R//79U2x6AJBaCN0AgMfKpEmTZLPZVKlSpdQuJc0JDAxUkyZN4hy2fv162Ww2LVy48F+taevWrRo8eLCuXbv2r843NR08eFA2m03p06d/Yl733Llz9ddffzn8iHLmzBk1btxYvr6+KlasmJYuXeo03uLFi5UtWzaFhYU5DXv33Xf1xRdf6Pz585bWDgBWI3QDAB4rc+bMUWBgoH755RcdPXo0tcvBQ2zdulVDhgx5YsKnJM2ePVtPPfWUJP3rP3Kklk8++URt27aVn5+fva1Tp046fvy4Ro8erXLlyqlVq1Y6efKkffidO3fUr18/DR8+3GG8WM2aNZOvr68mTZr0b7wEALAMoRsA8Ng4ceKEtm7dqnHjxilr1qyaM2fOv15DTEyM7ty586/PF9a5c+eOYmJiUmRaxhh9++23at++vRo1apQq79F/26+//qp9+/apdevW9rbbt29r3bp1+vLLL9WjRw/NmjVLAQEBWrVqlb3Pp59+Kj8/P7388stxTtfFxUUvvPCCZs6cKWOM5a8DAKxC6AYAPDbmzJmjjBkzqnHjxnrhhRccAk1UVJQyZcqkLl26OI0XHh6u9OnTq1+/fva2iIgIDRo0SAULFpSHh4dy586t/v37KyIiwmHc2POO58yZo+LFi8vDw0MrV66UdC80VKlSRZkzZ5anp6fKly8f557N27dvq3fv3sqSJYt8fHz03HPP6cyZM3Ge/3zmzBl17dpV2bNnl4eHh4oXL65p06Y9ymJLUGLmFxkZqYEDB6p8+fLy8/OTt7e3qlevrtDQ0ASnPXjwYL3zzjuSpHz58slms8lmszns7ZSkJUuWqESJEvb5xy7fB+vs1q2bAgIC5OHhoXz58qlHjx6KjIyUJF25ckX9+vVTyZIllSFDBvn6+qphw4bat2+fw3RiD7OfN2+ePvzwQ+XMmVNeXl4KDw+XJO3YsUMNGjSQn5+fvLy8VLNmTW3ZsiXRy3PLli06efKk2rZtq7Zt22rjxo36+++/nfrFxMRowoQJKlmypNKnT6+sWbOqQYMG2rVrl0O/2bNnq2LFivLy8lLGjBlVo0YN/fzzzw59VqxYoerVq8vb21s+Pj5q3Lix9u/f79Dn/Pnz6tKli3LlyiUPDw/lyJFDzZo1c1gXu3btUv369ZUlSxZ5enoqX7586tq160Nf85IlS+Tu7q4aNWrY2+7cuSNjjDJmzCjp3nbk7++vW7duSbq3PkeNGqUJEybIxSX+r6PPPvusTp06pb179z60DgBIq1xTuwAAABJrzpw5ev755+Xu7q527dpp8uTJ2rlzp55++mm5ubmpRYsWWrx4sb788ku5u7vbx1uyZIkiIiLUtm1bSfcCz3PPPafNmzfr1VdfVdGiRfX777/rs88+059//qklS5Y4zHfdunWaP3++evXqpSxZsigwMFCSNGHCBD333HN68cUXFRkZqXnz5qlVq1ZatmyZGjdubB+/c+fOmj9/vjp06KBnnnlGGzZscBge659//tEzzzxjD/pZs2bVihUr1K1bN4WHh6tPnz4PXUZRUVG6dOmSU3tc58wmdn7h4eH65ptv1K5dO73yyiu6fv26pk6dqvr16+uXX35RmTJl4qzl+eef159//qm5c+fqs88+U5YsWSRJWbNmtffZvHmzFi9erNdff10+Pj6aOHGiWrZsqdOnTytz5sySpLNnz6pixYq6du2aXn31VRUpUkRnzpzRwoULdevWLbm7u+v48eNasmSJWrVqpXz58umff/7Rl19+qZo1a+rAgQMKCAhwqG3YsGFyd3dXv379FBERIXd3d61bt04NGzZU+fLlNWjQILm4uGj69OmqXbu2Nm3apIoVKz50+c+ZM0cFChTQ008/rRIlSsjLy0tz5861//gQq1u3bgoJCVHDhg318ssv6+7du9q0aZO2b9+uChUqSJKGDBmiwYMHq0qVKho6dKjc3d21Y8cOrVu3TvXq1ZMkzZo1S506dVL9+vU1evRo3bp1S5MnT1a1atX066+/2t+rLVu21P79+/XGG28oMDBQFy5c0OrVq3X69Gn783r16ilr1qx677335O/vr5MnT2rx4sUPfc1bt25ViRIl5ObmZm/LmDGjChQooBEjRmjEiBHaunWr9u7dq88//1yS1L9/fzVs2NAhqMelfPnyku79mFG2bNmH1gIAaZIBAOAxsGvXLiPJrF692hhjTExMjMmVK5d588037X1WrVplJJmlS5c6jNuoUSOTP39++/NZs2YZFxcXs2nTJod+U6ZMMZLMli1b7G2SjIuLi9m/f79TTbdu3XJ4HhkZaUqUKGFq165tb9u9e7eRZPr06ePQt3PnzkaSGTRokL2tW7duJkeOHObSpUsOfdu2bWv8/Pyc5vegvHnzGkkJPhYsWJDk+d29e9dEREQ49Ll69arJnj276dq1q0P7g6/pk08+MZLMiRMnnOqVZNzd3c3Ro0ftbfv27TOSzOeff25v69ixo3FxcTE7d+50mkZMTIwxxpg7d+6Y6Ohoh2EnTpwwHh4eZujQofa20NBQI8nkz5/fYXnGxMSYoKAgU79+ffs0jbm3jvPly2eeffZZp3k/KDIy0mTOnNl88MEH9rb27dub0qVLO/Rbt26dkWR69+4d7+s5cuSIcXFxMS1atHB6XbF9rl+/bvz9/c0rr7ziMPz8+fPGz8/P3n716lUjyXzyySfx1v79998bSXEu44fJlSuXadmypVP72rVrTcaMGe3vvdhtYMuWLcbT09OcPHkyUdN3d3c3PXr0SHJdAJBWcHg5AOCxMGfOHGXPnl3BwcGS7h2u2qZNG82bN0/R0dGSpNq1aytLliz67rvv7ONdvXpVq1evVps2bextCxYsUNGiRVWkSBFdunTJ/qhdu7YkOR02XbNmTRUrVsypJk9PT4f5hIWFqXr16tqzZ4+9PfZQ6ddff91h3DfeeMPhuTFGixYtUtOmTWWMcairfv36CgsLc5hufCpVqqTVq1c7PT799NNkzy9dunT2IwdiYmJ05coV3b17VxUqVEhUTQmpW7euChQoYH9eqlQp+fr66vjx4/b5LVmyRE2bNrXvAb6fzWaTJHl4eNgPU46Ojtbly5eVIUMGFS5cOM4aO3Xq5LD+9u7dqyNHjqh9+/a6fPmyfVncvHlTderU0caNGx963veKFSt0+fJltWvXzt7Wrl077du3z+Fw70WLFslms2nQoEHxvp4lS5YoJiZGAwcOdDr8OrbP6tWrde3aNbVr185h/aVLl06VKlWyv489PT3l7u6u9evX6+rVq3HW7u/vL0latmyZoqKiEnydD7p8+bL9MPL71a5dW6dPn9b27dt1+vRpffbZZ4qJiVHv3r3Vt29f5c2bV5MnT1aRIkVUuHBhTZkyJc7pZ8yYMc6jNwDgccHh5QCANC86Olrz5s1TcHCwTpw4YW+vVKmSxo4dq7Vr16pevXpydXVVy5Yt9e233yoiIkIeHh5avHixoqKiHEL3kSNHdPDgQYfDnO934cIFh+f58uWLs9+yZcs0fPhw7d271+Fc8NhQJEmnTp2Si4uL0zQKFizo8PzixYu6du2avvrqK3311VeJqisuWbJkUd26dZ3aXV0d/+QndX4zZszQ2LFjdejQIYdQFt+ySaw8efI4tWXMmNEeDi9evKjw8HCVKFEiwenEniM9adIknThxwv5DjCT7Yer3e7DuI0eOSLoXxuMTFhYWZ7iMNXv2bOXLl08eHh72K+sXKFBAXl5emjNnjkaMGCFJOnbsmAICApQpU6Z4p3Xs2DG5uLjE+WPPgzXH/lj0IF9fX0n3fpAYPXq0+vbtq+zZs+uZZ55RkyZN1LFjR/tV1mvWrKmWLVtqyJAh+uyzz1SrVi01b95c7du3l4eHR7w1xDLxXOgsQ4YMDrf3mz59us6fP6/33ntPa9as0TvvvKPZs2fLZrOpffv2Kly4sP2Htfunff82BQCPG0I3ACDNW7dunc6dO6d58+Zp3rx5TsPnzJljP8e1bdu2+vLLL7VixQo1b95c8+fPV5EiRVS6dGl7/5iYGJUsWVLjxo2Lc365c+d2eH7/HtFYmzZt0nPPPacaNWpo0qRJypEjh9zc3DR9+nR9++23SX6NsXtRX3rppXiDX6lSpZI83ZSY3+zZs9W5c2c1b95c77zzjrJly6Z06dJp5MiROnbs2CPVkS5dujjb4wtx8RkxYoQ++ugjde3aVcOGDVOmTJnk4uKiPn36xLmH+sF1Gtvnk08+ifcc9QwZMsQ7//DwcC1dulR37txRUFCQ0/Bvv/1WH3/8cYqGx9iaZ82aZQ/P97v/h5Y+ffqoadOmWrJkiVatWqWPPvpII0eO1Lp161S2bFn7Pdy3b9+upUuXatWqVeratavGjh2r7du3J/jaM2fOHO8e9PuFh4frgw8+0Keffipvb2/NnTtXL7zwgpo3by5J9osjPhi6r127Zr8eAAA8jgjdAIA0b86cOcqWLZu++OILp2GLFy/W999/rylTpsjT01M1atRQjhw59N1336latWpat26dPvjgA4dxChQooH379qlOnTrJDkGLFi1S+vTptWrVKoc9gdOnT3folzdvXsXExOjEiRMOYezBe4xnzZpVPj4+io6OjnNPdUpLyvwWLlyo/Pnza/HixQ7LK67Dox/0qCEza9as8vX11R9//PHQGoODgzV16lSH9sQGtthD3H19fZO1/BcvXqw7d+5o8uTJTvM7fPiwPvzwQ23ZskXVqlVTgQIFtGrVKl25ciXevd0FChRQTEyMDhw4EO+PALE1Z8uWLVE1FyhQQH379lXfvn115MgRlSlTRmPHjtXs2bPtfZ555hk988wz+vjjj/Xtt9/qxRdf1Lx58+K9rZckFSlSxOEIlPgMHTpU+fLl04svvijp3gXy7r84WkBAgNNVys+cOaPIyEgVLVr0odMHgLSKc7oBAGna7du3tXjxYjVp0kQvvPCC06NXr166fv26fvzxR0n/d2/fpUuXatasWbp7967DoeWS1Lp1a505c0Zff/11nPO7efPmQ+tKly6dbDabw2HMJ0+edLryef369SVJkyZNcmiPvYrz/dNr2bKlFi1aFGfAvHjx4kNrSoqkzC92b/T9e5937Nihbdu2PXQ+3t7eku6F3+RwcXFR8+bNtXTpUqfbad1fU7p06Zz2ji9YsEBnzpxJ1HzKly+vAgUK6NNPP9WNGzechj9s+c+ePVv58+dX9+7dnd6j/fr1U4YMGey3uGvZsqWMMRoyZEi8r6d58+ZycXHR0KFDnfbUx/apX7++fH19NWLEiDjPw46t+datW073li9QoIB8fHzsp0VcvXrVafnFhv0Hb6P3oMqVK+uPP/5IsN+ff/6p//3vf5owYYL9h5js2bPr0KFD9j4HDx502mO/e/duSVKVKlUSrAEA0jL2dAMA0rQff/xR169f13PPPRfn8GeeeUZZs2bVnDlz7OG6TZs2+vzzzzVo0CCVLFnSaS9Zhw4dNH/+fHXv3l2hoaGqWrWqoqOjdejQIc2fP1+rVq2K86Jd92vcuLHGjRunBg0aqH379rpw4YK++OILFSxYUL/99pu9X/ny5dWyZUuNHz9ely9ftt8y7M8//5TkuCd41KhRCg0NVaVKlfTKK6+oWLFiunLlivbs2aM1a9boypUryVqG8Uns/Jo0aaLFixerRYsWaty4sU6cOKEpU6aoWLFicQbU+8Xe8umDDz5Q27Zt5ebmpqZNm9rDeGKMGDFCP//8s2rWrGm/xdu5c+e0YMECbd68Wf7+/mrSpImGDh2qLl26qEqVKvr99981Z84c5c+fP1HzcHFx0TfffKOGDRuqePHi6tKli3LmzKkzZ84oNDRUvr6+Wrp0aZzjnj17VqGhoerdu3ecwz08PFS/fn0tWLBAEydOVHBwsDp06KCJEyfqyJEjatCggWJiYrRp0yYFBwerV69eKliwoD744AMNGzZM1atX1/PPPy8PDw/t3LlTAQEBGjlypHx9fTV58mR16NBB5cqVU9u2bZU1a1adPn1ay5cvV9WqVfW///1Pf/75p+rUqaPWrVurWLFicnV11ffff69//vnHfhu9GTNmaNKkSWrRooUKFCig69ev6+uvv5avr68aNWqU4LJr1qyZhg0bpg0bNthP83jQW2+9pTZt2jjcdu2FF15Qs2bN9P7770uSli5dqmXLljmMt3r1auXJk4fbheH/tXc/odDtcRzHf1c4I2pCI4fMKVJTSk0WFsokCwklC4WYKWVz7CwpTY8wSdlS/hQrK4pmIWsb/1bKwoKFUjbKRMp87uL2TM88zzyXe5/n5Lq9X8vz+53f/M6vU6dP0+/3BT63jzgyHQCA9+rp6ZHP51Mqlfppn1gspoKCgkzpq3Q6rZqaGhljNDMzk/Oel5cXJRIJNTQ0yLIslZaWqqmpSfF4XA8PD5l+xhi5rptzjNXVVdXX18uyLIVCIa2vr2t6elrff15TqZRc11VZWZlKSkrU29ury8tLGWM0Pz+f1ffu7k6u66qmpkYFBQWqrKxUe3u7VlZW3lwrx3HU1dWVs+1rqaxvS4a99/fS6bRmZ2flOI4sy1I4HNbe3p6i0agcx8kaz3xXMkySvnz5ourqauXl5WWVD/vZ2jqOo2g0mnXt+vpaIyMjCgQCsixLtbW1cl03U8rs+flZExMTsm1bRUVFamlp0dHRkSKRiCKRyJvr8NXZ2Zn6+vpUXl4uy7LkOI76+/t1eHiYs78kLS4uyhjzt302NjZkjNHu7q6kv8qwLSwsKBQKqbCwUIFAQJ2dnTo5Ocm6b21tTeFwOPOORiKRTNm8b5+po6NDfr9fPp9PdXV1isViOj4+liTd39/LdV2FQiEVFxfL7/erublZ29vbmTFOT081MDCgYDAoy7JUUVGh7u7uzBhvaWxs1OjoaM62/f19lZSU6Pb29oe2ubk5VVVVybZtJRKJrLbX11fZtq2pqal3zQEA/qv+kP7hSSUAAOCXnZ+fm3A4bLa2tjJ7XIHPanNz07iua25ubjLlx37Vzs6OGRwcNFdXV8a27d8yJgB8BPZ0AwDgsaenpx+uLS0tmby8PNPa2voBMwJ+r6GhIRMMBnMedvhvJRIJMz4+TuAG8OnxTzcAAB6Lx+Pm5OTEtLW1mfz8fJNMJk0ymTRjY2NmeXn5o6cHAAA8ROgGAMBjBwcHJh6Pm4uLC/P4+GiCwaAZHh42k5OTWbWUAQDA/w+hGwAAAAAAj7CnGwAAAAAAjxC6AQAAAADwCKEbAAAAAACPELoBAAAAAPAIoRsAAAAAAI8QugEAAAAA8AihGwAAAAAAjxC6AQAAAADwCKEbAAAAAACP/AnSUbWNH9dppQAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# What countries have the lowest access to healthcare?\n", + "\n", + "\n", + "from tabulate import tabulate\n", + "\n", + "# Query to calculate average healthcare access and hospital beds, and filter below average\n", + "query_below_average = \"\"\"\n", + "SELECT\n", + " Country,\n", + " AVG(HealthcareAccess) AS AvgHealthcareAccess,\n", + " AVG(HospitalBedsPer1000) AS AvgHospitalBeds\n", + "FROM HealthStatistics\n", + "GROUP BY Country\n", + "HAVING \n", + " AVG(HealthcareAccess) < (SELECT AVG(HealthcareAccess) FROM HealthStatistics)\n", + " AND AVG(HospitalBedsPer1000) < (SELECT AVG(HospitalBedsPer1000) FROM HealthStatistics)\n", + "ORDER BY AvgHealthcareAccess ASC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a DataFrame (assuming connection is established)\n", + "df_below_average = pd.read_sql(query_below_average, connection)\n", + "\n", + "# Display the result\n", + "print(\"Countries with Healthcare Access and Hospital Beds Below Average:\")\n", + "print(tabulate(df_below_average, headers='keys', tablefmt='grid'))\n", + "\n", + "# Plotting the results\n", + "plt.figure(figsize=(10, 6))\n", + "plt.barh(df_below_average['Country'], df_below_average['AvgHealthcareAccess'], color='salmon')\n", + "plt.xlabel('Average Healthcare Access (%)', fontsize=12)\n", + "plt.ylabel('Country', fontsize=12)\n", + "plt.title('Countries with Below Average Healthcare Access and Hospital Beds', fontsize=14)\n", + "plt.gca().invert_yaxis() # Invert y-axis for better readability\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\3232801228.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " df_highest_burden = pd.read_sql(query_highest_burden, connection)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Countries with the Highest Disease Burden:\n", + " Country TotalDiseaseBurden\n", + "0 Russia 125970949.0\n", + "1 South Africa 125868947.0\n", + "2 Mexico 125412035.0\n", + "3 South Korea 125266003.0\n", + "4 USA 125246167.0\n", + "5 UK 125244689.0\n", + "6 Germany 125204430.0\n", + "7 France 125203904.0\n", + "8 China 125112861.0\n", + "9 Canada 125051388.0\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# What countries have the highest disease burden?\n", + "\n", + "\n", + "# Query to calculate the disease burden (e.g., using DALYs) and find countries with the highest burden\n", + "query_highest_burden = \"\"\"\n", + "SELECT\n", + " Country,\n", + " SUM(DALYs) AS TotalDiseaseBurden\n", + "FROM HealthStatistics\n", + "GROUP BY Country\n", + "ORDER BY TotalDiseaseBurden DESC\n", + "LIMIT 10;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a DataFrame (assuming connection is established)\n", + "df_highest_burden = pd.read_sql(query_highest_burden, connection)\n", + "\n", + "# Display the result\n", + "print(\"Countries with the Highest Disease Burden:\")\n", + "print(df_highest_burden)\n", + "\n", + "# Plotting the results\n", + "plt.figure(figsize=(10, 6))\n", + "plt.barh(df_highest_burden['Country'], df_highest_burden['TotalDiseaseBurden'], color='skyblue')\n", + "plt.xlabel('Total Disease Burden (DALYs)', fontsize=12)\n", + "plt.ylabel('Country', fontsize=12)\n", + "plt.title('Top 10 Countries with the Highest Disease Burden', fontsize=14)\n", + "plt.gca().invert_yaxis() # Invert y-axis for better readability\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] } ], "metadata": { diff --git a/Business Challenge EDA and SQL_home.ipynb b/Business Challenge EDA and SQL_home.ipynb index e174655..1fce37c 100644 --- a/Business Challenge EDA and SQL_home.ipynb +++ b/Business Challenge EDA and SQL_home.ipynb @@ -9,18 +9,9 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total number of rows: 1000003\n", - "Detected Encoding: ascii\n" - ] - } - ], + "outputs": [], "source": [ "import csv\n", "import chardet\n", @@ -44,17 +35,9 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "File successfully split into 11 chunks.\n" - ] - } - ], + "outputs": [], "source": [ "import csv\n", "import chardet\n", @@ -112,17 +95,55 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Connected to the GlobalHealth database successfully!\n" - ] - } - ], + "outputs": [], + "source": [ + "import os\n", + "\n", + "# Path to the folder containing the chunks\n", + "chunk_folder = r\"C:\\ProgramData\\MySQL\\MySQL Server 9.1\\Uploads\\chunks\"\n", + "\n", + "# Connect to MySQL\n", + "\n", + "# Load each chunk file sequentially\n", + "for chunk_number in range(1, 11): # Assuming chunks are named chunk_1.csv to chunk_10.csv\n", + " chunk_file = os.path.join(chunk_folder, f\"chunk_{chunk_number}.csv\")\n", + " print(f\"Loading {chunk_file}...\")\n", + " \n", + " # Construct the LOAD DATA INFILE query\n", + " query = \"\"\"\n", + " LOAD DATA INFILE '{chunk_file}'\n", + " INTO TABLE healthstatistics\n", + " FIELDS TERMINATED BY ',' \n", + " ENCLOSED BY '\"'\n", + " LINES TERMINATED BY '\\\\n'\n", + " IGNORE 1 LINES\n", + " (\n", + " Country, Year, DiseaseName, DiseaseCategory, PrevalenceRate, IncidenceRate, MortalityRate, AgeGroup, Gender, PopulationAffected, \n", + " HealthcareAccess, DoctorsPer1000, HospitalBedsPer1000, TreatmentType, AverageTreatmentCost, AvailabilityOfVaccinesTreatment, RecoveryRate, DALYs,\n", + " ImprovementIn5Years, PerCapitaIncome, EducationIndex, UrbanizationRate\n", + " );\n", + " \"\"\".format(chunk_file=chunk_file.replace(\"\\\\\", \"/\"))\n", + " \n", + " try:\n", + " cursor.execute(query)\n", + " connection.commit()\n", + " print(f\"Successfully loaded {chunk_file}\")\n", + " except pymysql.MySQLError as e:\n", + " print(f\"Error loading {chunk_file}: {e}\")\n", + "\n", + "# Close the connection\n", + "# cursor.close()\n", + "# connection.close()\n", + "# print(\"All chunks loaded successfully.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# import pymysql\n", "\n", @@ -151,82 +172,9 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " id Country Year DiseaseName DiseaseCategory \\\n", - "0 3 Turkey 2015 COVID-19 Genetic \n", - "1 11 Canada 2011 Leprosy Cardiovascular \n", - "2 23 South Africa 2014 Malaria Bacterial \n", - "3 38 Turkey 2006 Malaria Cardiovascular \n", - "4 43 Indonesia 2000 Rabies Bacterial \n", - "... ... ... ... ... ... \n", - "19986 99980 Australia 2017 Hypertension Neurological \n", - "19987 99984 UK 2010 Measles Metabolic \n", - "19988 99985 Canada 2001 Alzheimer's Disease Bacterial \n", - "19989 99986 South Korea 2004 Measles Respiratory \n", - "19990 99987 Russia 2005 Asthma Chronic \n", - "\n", - " PrevalenceRate IncidenceRate MortalityRate AgeGroup Gender ... \\\n", - "0 0.91 2.35 6.22 36-60 Male ... \n", - "1 11.15 0.60 2.97 36-60 Female ... \n", - "2 5.94 4.29 2.36 61+ Female ... \n", - "3 10.53 2.50 5.09 0-18 Male ... \n", - "4 1.22 13.78 3.90 0-18 Male ... \n", - "... ... ... ... ... ... ... \n", - "19986 2.55 0.84 6.96 19-35 Male ... \n", - "19987 16.48 3.29 6.63 36-60 Male ... \n", - "19988 15.71 10.18 5.12 36-60 Male ... \n", - "19989 1.10 10.82 6.33 36-60 Male ... \n", - "19990 10.69 7.84 4.42 61+ Other ... \n", - "\n", - " HospitalBedsPer1000 TreatmentType AverageTreatmentCost \\\n", - "0 3.49 Vaccination 27834.0 \n", - "1 1.99 Surgery 19993.0 \n", - "2 6.88 Therapy 14578.0 \n", - "3 2.95 Vaccination 29311.0 \n", - "4 3.53 Therapy 45214.0 \n", - "... ... ... ... \n", - "19986 1.05 Surgery 15056.0 \n", - "19987 6.46 Therapy 7088.0 \n", - "19988 3.28 Medication 42658.0 \n", - "19989 2.97 Therapy 5205.0 \n", - "19990 8.89 Medication 2377.0 \n", - "\n", - " AvailabilityOfVaccinesTreatment RecoveryRate DALYs \\\n", - "0 Yes 98.55 41.0 \n", - "1 Yes 76.16 4238.0 \n", - "2 Yes 72.97 433.0 \n", - "3 Yes 93.53 110.0 \n", - "4 Yes 97.84 4746.0 \n", - "... ... ... ... \n", - "19986 Yes 89.41 680.0 \n", - "19987 No 63.23 399.0 \n", - "19988 Yes 82.12 3051.0 \n", - "19989 Yes 87.74 382.0 \n", - "19990 Yes 50.31 2814.0 \n", - "\n", - " ImprovementIn5Years PerCapitaIncome EducationIndex UrbanizationRate \n", - "0 5.81 12245.0 0.41 40.20 \n", - "1 1.23 44699.0 0.58 51.50 \n", - "2 1.40 52974.0 0.53 43.97 \n", - "3 6.45 51865.0 0.74 58.38 \n", - "4 3.30 24147.0 0.73 79.39 \n", - "... ... ... ... ... \n", - "19986 1.71 37060.0 0.64 47.46 \n", - "19987 1.14 73707.0 0.60 45.20 \n", - "19988 2.52 52542.0 0.61 47.49 \n", - "19989 3.38 67734.0 0.83 76.76 \n", - "19990 3.43 44723.0 0.81 72.82 \n", - "\n", - "[19991 rows x 23 columns]\n" - ] - } - ], + "outputs": [], "source": [ "# Switch to SQLAlchemy, because of UserWarning: \n", "\n", @@ -245,82 +193,9 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " id Country Year DiseaseName DiseaseCategory PrevalenceRate \\\n", - "0 105 Australia 2020 Malaria Genetic 12.89 \n", - "1 486 Nigeria 2020 Malaria Bacterial 18.91 \n", - "2 1200 China 2020 Malaria Neurological 7.81 \n", - "3 1325 Argentina 2020 Malaria Autoimmune 2.21 \n", - "4 1544 Australia 2020 Malaria Metabolic 1.60 \n", - ".. ... ... ... ... ... ... \n", - "196 99253 South Africa 2020 Malaria Respiratory 9.22 \n", - "197 99350 Turkey 2020 Malaria Bacterial 7.57 \n", - "198 99402 India 2020 Malaria Metabolic 13.16 \n", - "199 99406 Mexico 2020 Malaria Genetic 1.28 \n", - "200 99475 Indonesia 2020 Malaria Metabolic 15.20 \n", - "\n", - " IncidenceRate MortalityRate AgeGroup Gender ... HospitalBedsPer1000 \\\n", - "0 12.34 1.52 36-60 Other ... 5.35 \n", - "1 13.31 1.37 61+ Female ... 7.57 \n", - "2 2.24 8.67 61+ Female ... 2.86 \n", - "3 10.05 7.41 19-35 Other ... 2.04 \n", - "4 0.84 5.24 19-35 Male ... 7.22 \n", - ".. ... ... ... ... ... ... \n", - "196 13.76 9.81 19-35 Male ... 5.95 \n", - "197 10.89 6.23 0-18 Other ... 9.79 \n", - "198 4.00 6.32 61+ Other ... 9.47 \n", - "199 13.18 1.02 61+ Other ... 9.76 \n", - "200 3.84 0.54 36-60 Female ... 7.74 \n", - "\n", - " TreatmentType AverageTreatmentCost AvailabilityOfVaccinesTreatment \\\n", - "0 Medication 9153.0 Yes \n", - "1 Vaccination 40849.0 No \n", - "2 Surgery 29742.0 No \n", - "3 Medication 25557.0 No \n", - "4 Vaccination 14504.0 Yes \n", - ".. ... ... ... \n", - "196 Surgery 13942.0 No \n", - "197 Therapy 18890.0 Yes \n", - "198 Therapy 22365.0 Yes \n", - "199 Surgery 22522.0 Yes \n", - "200 Therapy 27101.0 No \n", - "\n", - " RecoveryRate DALYs ImprovementIn5Years PerCapitaIncome EducationIndex \\\n", - "0 85.70 3411.0 1.03 13201.0 0.62 \n", - "1 56.59 4604.0 0.13 35250.0 0.89 \n", - "2 55.98 1288.0 8.50 5954.0 0.83 \n", - "3 77.72 4074.0 7.04 99936.0 0.54 \n", - "4 67.36 391.0 9.61 24293.0 0.81 \n", - ".. ... ... ... ... ... \n", - "196 97.84 2531.0 6.81 84482.0 0.67 \n", - "197 67.85 4101.0 4.88 39904.0 0.59 \n", - "198 81.07 105.0 6.68 67995.0 0.67 \n", - "199 65.91 4689.0 0.86 31437.0 0.44 \n", - "200 78.98 4520.0 0.86 59791.0 0.74 \n", - "\n", - " UrbanizationRate \n", - "0 34.93 \n", - "1 35.01 \n", - "2 85.54 \n", - "3 31.58 \n", - "4 41.08 \n", - ".. ... \n", - "196 46.73 \n", - "197 21.95 \n", - "198 38.27 \n", - "199 54.71 \n", - "200 89.86 \n", - "\n", - "[201 rows x 23 columns]\n" - ] - } - ], + "outputs": [], "source": [ "# Switch to SQLAlchemy, because of UserWarning: \n", "\n", @@ -337,68 +212,9 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data retrieved successfully!\n", - "\n", - "Top Infectious Diseases by Prevalence:\n", - " Avg_Prevalence Total_Prevalence\n", - "DiseaseName \n", - "Polio 11.092771 920.70\n", - "Influenza 10.972241 1272.78\n", - "Ebola 10.409245 1103.38\n", - "Malaria 10.408333 1124.10\n", - "Asthma 10.332857 1012.62\n", - "Measles 10.321685 918.63\n", - "HIV/AIDS 10.213814 990.74\n", - "Dengue 10.173448 885.09\n", - "Alzheimer's Disease 10.101000 909.09\n", - "Parkinson's Disease 10.025934 912.36\n", - "\n", - "Change in Prevalence Rates Over the Last 5 Years:\n", - " Initial_Prevalence Latest_Prevalence \\\n", - "DiseaseName \n", - "Cholera 7.85 17.66 \n", - "Parkinson's Disease 12.31 18.03 \n", - "Hepatitis 0.60 5.59 \n", - "Zika 14.62 18.20 \n", - "Malaria 14.16 17.55 \n", - "Tuberculosis 0.92 4.20 \n", - "Leprosy 16.01 17.26 \n", - "COVID-19 14.88 14.77 \n", - "HIV/AIDS 4.56 4.32 \n", - "Asthma 14.70 13.25 \n", - "\n", - " Change_in_Prevalence \n", - "DiseaseName \n", - "Cholera 9.81 \n", - "Parkinson's Disease 5.72 \n", - "Hepatitis 4.99 \n", - "Zika 3.58 \n", - "Malaria 3.39 \n", - "Tuberculosis 3.28 \n", - "Leprosy 1.25 \n", - "COVID-19 -0.11 \n", - "HIV/AIDS -0.24 \n", - "Asthma -1.45 \n" - ] - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Question 1:\n", "# Which infectious diseases have the highest prevalence rates globally, and how have these rates changed over the past 5 years?\n", @@ -502,36 +318,9 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1944517882.py:25: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " return pd.read_sql(query, connection, params=params)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", - " grouped_vals = vals.groupby(grouper)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", - " grouped_vals = vals.groupby(grouper)\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Question 2:\n", "# Which age groups and genders are most affected by high-prevalence infectious diseases? \n", @@ -605,89 +394,9 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1639260823.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_question3 = pd.read_sql(query_3, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName AvgHealthcareAccess AvgDoctorsPer1000 \\\n", - "0 Malaria 74.786759 2.732954 \n", - "1 Ebola 74.704818 2.778387 \n", - "2 COVID-19 74.702642 2.706471 \n", - "3 Parkinson's Disease 74.792696 2.742936 \n", - "4 Tuberculosis 74.985969 2.764276 \n", - "\n", - " AvgRecoveryRate \n", - "0 74.801839 \n", - "1 74.398003 \n", - "2 74.255789 \n", - "3 74.335690 \n", - "4 74.538776 \n", - " AvgHealthcareAccess AvgDoctorsPer1000 AvgRecoveryRate\n", - "AvgHealthcareAccess 1.000000 -0.087803 0.336193\n", - "AvgDoctorsPer1000 -0.087803 1.000000 -0.058986\n", - "AvgRecoveryRate 0.336193 -0.058986 1.000000\n" - ] - }, - { - "data": { - "image/png": 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", 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Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n", - " self._figure.tight_layout(*args, **kwargs)\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Question 3: \n", "# Is there a correlation between healthcare access, the number of doctors per 1000 people, \n", @@ -732,44 +441,9 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\3706241603.py:17: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_question4 = pd.read_sql(query_4, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", - "0 Malaria 5.148557 51036.541119 0.656155\n", - "1 Hepatitis 5.111002 50134.584410 0.648586\n", - "2 Rabies 5.087610 50758.945881 0.648486\n", - "3 Tuberculosis 5.085437 49793.941319 0.650789\n", - "4 Measles 5.082200 50287.037513 0.649193\n", - " AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", - "AvgMortalityRate 1.000000 0.119010 0.742968\n", - "AvgPerCapitaIncome 0.119010 1.000000 0.346141\n", - "AvgEducationIndex 0.742968 0.346141 1.000000\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Question 4: \n", "# Which infectious diseases have the highest mortality rates, and how do socioeconomic factors \n", @@ -809,38 +483,9 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1616853608.py:18: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_urbanization = pd.read_sql(query, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " AvgUrbanizationRate AvgIncidenceRate AvgPrevalenceRate\n", - "AvgUrbanizationRate 1.000000 0.344218 0.162751\n", - "AvgIncidenceRate 0.344218 1.000000 -0.181572\n", - "AvgPrevalenceRate 0.162751 -0.181572 1.000000\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Question 5:\n", "# Does the urbanization rate affect the incidence and prevalence rates of infectious diseases? \n", @@ -871,10 +516,7 @@ "\n", "print(correlation_matrix)\n", "\n", - "# Visualize correlation as a heatmap\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", + " \n", "plt.figure(figsize=(8, 6))\n", "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\")\n", "plt.title(\"Correlation Between Urbanization and Disease Metrics\")\n", @@ -884,59 +526,72 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\990198507.py:13: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_vaccine = pd.read_sql(query, connection)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName AvailabilityOfVaccinesTreatment AvgMortalityRate \\\n", - "0 Alzheimer's Disease Yes 5.440184 \n", - "1 HIV/AIDS Yes 5.401092 \n", - "2 Influenza Yes 5.390083 \n", - "3 Malaria No 5.360365 \n", - "4 Rabies No 5.339690 \n", - "\n", - " AvgRecoveryRate \n", - "0 75.933502 \n", - "1 74.485672 \n", - "2 73.891701 \n", - "3 73.713059 \n", - "4 74.395177 \n", - " AvailabilityOfVaccinesTreatment AvgMortalityRate AvgRecoveryRate\n", - "0 No 5.023736 74.244544\n", - "1 Yes 5.105629 74.391719\n" - ] - }, - { - "data": { - "image/png": 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fn22SyWRo3Lgx/vvvPyQmJqJKlSrYtm0bDA0N8eTJE5w9exZr167F48ePxUvx169fR2pqKpo0aSK33nHjxmHNmjWS6w8KCoKjo6PcYFkVFRW0aNECt27dwsePHyWvC/h0FeLKlStiV6KYmBicPn1avBqir6+PTZs2oUaNGggPD8fFixexefNm/Pvvv+J7CwsLw9u3bzP1Uffw8EBAQABUVVUREhKCBg0ayA2EtbGxwalTp1ClSpVs6/u8D3FGH/6M7hiBgYEoUaIELCwsxLN8aWlpcHR0xK1bt7LtlnHmzBm8efMGzs7OiI2NRWxsLJycnJCeno6dO3eK7Zo0aQJ1dXUcOnQIwKcz8iEhIeJZTSn75lvatm2L1atXIyUlBffu3cPRo0fFrkkpKSlybf/44w+5102aNEFKSkq+DCQuUqQImjRpgn379onTdu/ejebNm0NDQyPLZYKCgmBoaCj3OwUArVu3RlJSklxdlpaWUFZWFl9n/CwTEhK+WVvp0qVRrVo1uW5Mhw4dEs/g5ramr33uMowePRojRoxAbGwsrl+/jr1792Lr1q0AIPln/KU6deqgdOnS4l2LIiMjERgY+NUz2jn5nHzZ797AwED8nbl+/TpSUlLg6Ogo1+bLz1Z2LCwssGvXLuzatQvLli2DqakpKlSogIULF6JZs2Ziu8uXL0MQBDg5OcmdhXdyckJSUhJCQkK+edxISUnBzZs38ccff8h9drS1teHo6IigoCAAgK2tLUqXLi1eLUxKSsKJEyfE39Nr164hMTExy1qAT1crMujo6MiNFVJSUoKLiwuOHTsmflZ3796NOnXqfHNMkaOjo7iv5s+fj1KlSqFq1arw8fFB7dq1xXZS/n5kRcrxz9raGurq6mjXrh2mT5+O8+fPo3Llyhg6dGi2N1wg+hwHURP9v6wOmpqamt9crmTJknKvdXV1IQgCYmNjoaGhgfXr12PFihWIiYmBnp4eqlatCk1NTXz48AHApy/mwKeBdXnx/v176OnpZZqup6cHQRAQFxeHQoUKSV5fq1atMHv2bBw6dAg9e/bEwYMHIZPJ0Lp1a7HNvn37MH/+fEREREBHRwdVqlSR+1KZ8d6yutvT522+Nj87n/9sMgY4C//fVSEmJgavX7/OtovW69evUbRo0UzT/f39AXzq3/+lXbt2wcvLCyoqKihcuDCcnZ1x8OBB9O7dG4cOHYKmpqbcoPNv7ZtvSUxMxNSpU7F3716kpqaiTJkysLGxgYqKSqZ7vpcoUULudcZnKa/91zO0a9cO+/btQ3BwMJSVlfHkyZOvdpF6//59ppoAiJ/Pz0P4l79jGT9Lqd0o/vjjDyxatAhJSUkICwvDkydP5L6w5qYmLS2tb2732bNnmDBhAgIDA6GqqoqKFSuKA1+//PlIpaSkBFdXV6xfvx4TJ07E3r17Ubhw4UxfpD+Xk89JVvs6o03GZ6VYsWJybbLaZ1kpVKgQLC0txdfW1tZo3bo1evXqhYCAAPEzmXFMyGqMCvBpPE9GDdkdFz58+ABBELI93mUcW2UyGVq1aoWdO3di3LhxOH36NOLj49GqVSu5WrK7bXFUVJTc+/tSRnfBY8eOwc7ODoGBgZg7d26W6/qcjo6OuK8sLS1hZmYGNzc39OnTB35+flBTUxPbfuvvR1akHP9MTEywZcsWrFq1Crt27cKmTZugra2Nzp07Y8iQIXLjMIiywgBBlEcZB/YMb968gbKyMnR0dLB//37MmjULI0eOhKurq/hHdPDgwbh58yaA/w2ce/fuHSpWrCiu5+XLl3j27Blq1KghqY6iRYvizZs3maZnPMfgyy8G36KjoyP2ye7Zsyf27t2Lxo0bi1digoODMWrUKLi7u8PDwwP6+voAPo3nyBi4/fl7+1x0dDTu3LkDGxsbFClSJNN8ADh79qykM8FZKVKkCCpUqJDtH/MyZcpkmvbmzRucO3cOnTt3zvQF9Pr165g/fz5Onz4tfplr3bo1PD098fTpUxw8eBBNmzYVv6BJ2TffMn36dBw9ehQLFy5EnTp1xC+19vb2mdp+GRQyPge5CWZZsbW1Rbly5XDkyBEoKSmhYsWKX70zVtGiReXGTGTI7Wfxa5o1a4ZZs2bh/PnzuHnzJuzs7LJ83/lZU3p6Ojw9PaGqqopdu3ahSpUqUFFRwaNHj/L8zANXV1csXboU586dw+HDh9G8efNMt6n9XE4+J1+T8f7fvn0rdxzK+JKdU3p6epgwYQIGDx6M6dOni2MpMo4JGzduzPJLeenSpcXjwdeOGzKZLNvjXcYxCgDatGmDlStX4sqVKzh06BBq1aoFQ0NDuVrmzp2LChUqZPkevqZs2bKwtbXF4cOHERMTI55YyCkTExMMGjQIs2fPho+PD4YNGwYAkv5+ZEXq8c/Kygo+Pj5ITk5GSEgIfH19sWLFClSuXFnylSf6fbELE1EenThxQvy/IAg4duwYatSoATU1NYSEhEBbWxu9e/cWD/4fP35ESEiIeIbVysoKqqqqOH36tNx6161bh2HDhkFZWVnSLURr1aqF06dPy905KS0tDQcPHoSlpaXcWS2p3NzccPv2bQQFBeHGjRti9yXg0+X/9PR0DBw4UPyCnJaWhkuXLgH49CWrYsWKKFasWKb3tnfvXnh6eiIlJQU1a9bExYsX5S7J37lzB56enrh9+3aOawY+feGNiIiArq4uLC0txX8XL17EmjVr5Lo9fF5Tamoqunfvjtq1a8v96969OwoXLowdO3aI7evVqwc9PT1s2rQJt2/flhskKmXffEtISAhq164NZ2dn8UvhrVu38O7du0zLnzlzRu71wYMHoampKdcFT6qsPmsymQyurq44ceIETp069c1BorVq1cKLFy8yPbtk3759UFVVhZWVVY7ryo6+vj5q1KiBI0eO4PDhw9me2c5LTV9+XqKjoxEWFoZ27drB0tISKiqfzsVlPARM6tWTrPa1oaEh7O3tsWnTJty9ezfbgeoZcvI5+RobGxtoaGhkuqvVl7+7OdGsWTPUr18fBw4cELsV1axZE8Cnffj57+a7d++waNEixMTESDpuVK1aFYcPH5a7W9KHDx9w5swZuZMuxsbGsLCwwMGDB3H27Fm5K6jW1tZQVVXFq1ev5GpRUVHB/Pnzv/rwvAzt2rXDpUuXcODAgW+Gva/p3r07TE1NsW7dOvEuZFL+fgCZP0dSjn8bNmyAo6MjkpOToaamBnt7e0ydOhXAp5NXRN/CKxBEeTR79mwkJSXByMhIfAjXxo0bAXwKB9u3b8esWbPg6OiIqKgorF27Fm/evBG70BQvXhzdunXDhg0boKamBltbW9y4cQPbt2+Ht7c3lJSUxDNlBw4cgLW1NcqWLZupjgEDBuDcuXPo1q2beHZ0y5YteP78eY7GUnwuo0/2+PHjUaZMGbmzmhlfuKZMmQI3Nze8f/8eW7duxb179wB8Go9QuHBhDBw4EFOmTIGuri6cnJwQFhaGxYsXo0uXLihatCi8vLzQsWNH9O3bF926dUNiYiIWLlwIKysr1K1bN1cP0HN1dcWWLVvQs2dP9OvXD6VKlcKlS5ewevVqdO3aFaqqqpmWCQgIgIWFRZZnIjU0NNC0aVMEBATg+fPnKFu2LJSVldGiRQts2bIF+vr6cn2Xpe6br7GyssLhw4exfft2GBsb4969e1i+fDlkMlmm8QHHjh2Dvr4+6tSpgwsXLsDX1xeDBw/OVV9mbW1tvHnzRrwClNFFz9XVVbyF8OdhKSuurq7Ytm0b+vfvj0GDBqFMmTI4deoU/P39MWDAAPHznF/++OMPzJw5EzKZLNNYovyoqUiRIgA+9S03NjaGtbU1DA0NsXXrVhgYGEBbWxvnz5/Hpk2bAEgbvwF82td37txBUFAQrKysxC5u7dq1w7Bhw8RtfU1OPidfU6hQIXh5eWHhwoXQ1NSEnZ0dzp49m6cAAQB///03WrdujWnTpom3rG3dujXGjx+PFy9eoGrVqggLC8OCBQtQpkwZVKhQAcrKyt88bgwfPhweHh7w9PRE586dkZKSglWrViE5ORn9+/eXq6FNmzb4559/oKKiInd1sVixYujduzcWLVqEuLg41K5dG69evcKiRYsgk8kkPYuhadOmmDp1Kv77779Md27KCRUVFfz999/o0aMHZsyYgVWrVkn6+wF8+hxdu3YNgYGBMDc3l3T8s7Ozw9y5c9G/f3907doVysrK2LFjB9TU1DKNgyHKCq9AEOXRpEmT4OfnhwEDBuD169dYt26deJbNxcUF/fv3x+HDh9GnTx8sXrwYNWvWxJQpUxATEyPednTkyJEYNmwYDhw4AE9PT+zduxfjx49H9+7dAXwaFGtpaYnRo0dj7dq1WdZRqVIlbNu2Dbq6uhgzZgxGjhwJQRCwadOmbB8a9y0ZAwWfPHkCV1dXuX6xtWvXxoQJE3Dt2jX06dMHs2bNQunSpcXbXGZ01enSpQtmzZqFK1euoG/fvtiwYQP69OkDb29vAJ8ecrZ582akpqZiyJAhmDZtGmrUqIGVK1fm6qoJ8KkP+9atW1GjRg3MmTMHffr0wbFjxzB8+HCMGTMmU/sbN27g0aNH2Z69Bj4NVhUEAb6+vuK0Nm3aIC0tDS1btpQ7Cyh133zN6NGj4ezsjIULF6Jv377YuXMn/vrrL3To0AHXrl2TO/M6duxY3Lx5E56enjh8+DD+/vvvXD8929XVFYaGhujfv7/cszX09fVRuXJl1KtXT7yqkh1NTU1s3rwZjo6OWLRoEf766y+EhIRg+vTpGDhwYK7q+ppmzZohPT0d9evXF7/s52dNhQsXRs+ePXHixAn06dMHKSkpWLZsGfT19TF69GgMGTIEN27cwPLly1GxYkUEBwdLqrtXr1548+YNPDw8cOvWLXG6g4ODeNXnW3LyOfmWvn374u+//8aRI0fw119/4f79+5JvqZudihUrwt3dHffv3xdvhzxz5kz07NkTO3bsQO/evbFixQo0b94c69atE6/2fOu4YW9vj/Xr1yMxMRHDhg3D+PHjoa+vDz8/P5iamsrV0LJlS8hkMjg6Omb6fAwZMgSjR4/G8ePH0adPH8yZMwc1atTAli1bsv0sfU5dXR12dnYwMTHJ85U1e3t7NG3aVAxuUv9+dOnSBaqqqujTpw/OnTsn6fhXuXJlrFixAnFxcRg2bBgGDBiAmJgYrFu3Tq4LG1F2ZEJuR3sR/eYCAgIwZswYnDx5Mss+9US/klevXsHR0RGLFy/OVT9vku7QoUPw9vbG2bNn820cC30fiYmJcHBwgJeXl3jCh+h3wC5MRESUrbt37+LkyZM4evQoKlSoIPckZspfJ06cwM2bN7Fjxw64uroyPBRgGU8Rv3TpEmQyGdzc3BRdEtEPxS5MRESUraSkJKxfvx5paWmYP3++pAH9lDvh4eHYuHEjqlatipEjRyq6HPoKJSUlbN68GZGRkViwYAGfnUC/HXZhIiIiIiIiyXgqiYiIiIiIJGOAICIiIiIiyRggiIiIiIhIst/uLkzXrl2DIAhZPkiKiIiIiOh3lJKSAplMBhsbm2+2/e0ChCAI4LhxIiIiIqL/ycn3498uQGRcebC0tFRwJUREREREBcPNmzclt+UYCCIiIiIikowBgoiIiIiIJGOAICIiIiIiyRggiIiIiIhIMgYIIiIiIiKS7Le7CxMRERFRbgmCgLS0NKSmpiq6FCLJVFVVoaysnG/rY4AgIiIi+gZBEBATE4PXr18jLS1N0eUQ5ZiOjg4MDAwgk8nyvC4GCCIiIqJviIyMRExMDLS1taGtrQ0VFZV8+SJG9L0JgoD4+HhERUUBAEqVKpXndTJAEBEREX1FWloa3r9/jxIlSkBPT0/R5RDlmKamJgAgKioKJUuWzHN3Jg6iJiIiIvqKlJQUCIKAQoUKKboUolzT0tIC8OnznFcMEEREREQSsMsS/czy8/PLAEFEREREBYYgCIougb6BAYKIiIiIcsTd3R1mZmbo1KlTtm2GDh0KMzMzjB49WvJ6Q0JC4Onp+c12S5YsgZmZmeT1Uv7iIGoiIiIiyjElJSVcv34dkZGRMDAwkJsXHx+P06dP53idO3fuRGho6DfbtW/fHvXr18/x+il/8AoEEREREeWYubk51NXVceTIkUzzTp8+DU1NTejr63+XbRsYGKBatWrfZd30bQwQRERERJRjWlpacHBwyDJAHDp0CE2bNoWKyv86u6Snp2PVqlVo3LgxqlatiqZNm2Lz5s3i/NGjR2P37t148eIFzMzMEBAQgPDwcJiZmWH9+vVo1qwZrK2t4e/vn2UXpj179sDFxQXW1tZo2LAh5s2bh+Tk5O+3A35jDBBERERElCvNmzcXuzFliIuLw7lz59CyZUu5tpMmTcLixYvRunVrrFixAs2aNcOMGTOwdOlSAICXlxccHBxQokQJ+Pr6omHDhuKyS5YsQZ8+fTB79mzUrVs3Ux1bt27FqFGjYGFhAR8fH3h6emLz5s2YNm3a93njvzmOgSAiIiLKI0EQfsvbvDZs2BCampo4cuQIevToAQA4fvw4dHV1UaNGDbFdWFgY/Pz8MGzYMHGQdL169SCTybBy5Up07twZ5cqVQ/HixaGmpiZ2T4qPjwcA/PHHH3Bzc8uyhvT0dCxduhTOzs5ygSEhIQEHDx5ESkoKVFVVv8O7z7uf9XPDAEH0k0oT0qEs40VEyjl+dojyn0wmQ0TcOySn5f0hXT+DxNRPXYNeJb1H7Xp1sPfAPji6/AEA2LV3N+o2csCz2CikpqchLjkBh04fhyAIqFzLGo/fvhDXY167GpKWJ+HwuZOo27A+4pITkJqehqfvXwEAIj+8AQDoVzAUpwFATGIcAODp+1d49uQp3r59i+r1asu1cW7XEs7tWuJl/LvvuzNySU1ZFaUKF1d0GbnCAEH0k1KWKWFWoC+exUYpuhT6iZTTLonR9h0VXQbRLyk5LQVJv0mASP//ZzUkpaWgTqMGmDF6Il5EvISauhquBQWji2cPJKV9eoJ3mpCOdzHRAIA+nbplub5XUa+QlJaCNCEdgiCI+zE5PRUAoKKhJrdv04R0cftv330KCIWKFvlt9r+iMUAQ/cSexUbhUfRLRZdBRES/sRp2taCppYWLp85BQ1MD+qUNYFLZVK5N4cKFAADTfeZCU0sr0zpK6JfM9fYLFSkMAHgfEyM3Pfb9e4Tef4gqlhbQ0NTM9fopM17DJiIiIqJcU1VTg12DOrh4+hwunDyDBo2dMrWxqGYFAIiNiUWlKmbiv/cxMdiyaj0+xMYCAJSVcv7VtEz5stDWKYqgC5flpp86dByTh/2N1JTUXLwr+hpegSAiIiKiPKnv7IgpI8ZCpiSD57CBmeZXMKmIhs2c4TNrHqIiImFSxRQvnoZj04q10C9tgNJlywD4dDUh5l00ggOvoGIlE0nbVlZWRufe3bFi7mLoFNOBbX17vHgajm1rNqJFu7YorF0kX98rMUAQERERUR5Vs62BQoULo4RBSZStUC7LNkPGemPnpm04vGc/3qx8DZ3ixVC/sSPcPXtCWVkZAODcohmCLwVhuvcEdO7TAw0aO0rafgu3NtDQ0EDANj8c2XsQeiX14ObeCe26dsq390j/IxOE/x8F85u4efMmAMDS0lLBlRDlndfRJRwDQTliUqw0ljXNfHaQiLKXmJiIsLAwGBkZQUNDI9t2T9+/4iBekkxdWRXli36fJ3Vn5Vuf45x8R+YYCCIiIiIikowBgoiIiIiIJGOAICIiIiIiyRggiIiIiIhIMgYIIiIiIiKSjAGCiIiIiIgkY4AgIiIiIiLJGCCIiIiIiEgyBggiIiIiIpJMRZEbv3LlCrp165blvDJlyuDkyZMIDw/H1KlTcfXqVWhpaaFdu3YYOHCg+MhzIiIiooJATenHfq1KE9KRmp72Q7dJBCg4QNjY2ODChQty065fv46BAwfCy8sLKSkp8PDwQIUKFbBjxw48e/YMY8eOhZKSEgYNGqSgqomIiIj+Jy09HcpKSihVRPeHbjc1LQ3PPkTlOkTEf/wI9xbtoaWlifX7fKGikn9fCz1cOiMq8hU8BvVD2z/bZ5q/9J8FOLLnAP706IbOvbvnejuJCQk4efAoWrRrK6n9q4hI9HbtghlL58GyejUsmPoPoiJeYeay+QCAOzduQYAAC2vLb67r5r/X8Xf/4XLTZDIZNDQ1Ub5iBXT17AnrWtUlv5fo6GicOHEC7dtn3l8FjUIDhJqaGkqUKCG+jo+Px8yZM+Hi4gI3NzccOHAAL1++hJ+fH4oWLQpTU1O8ffsWs2fPRr9+/aCmpqbA6omIiIgAZSUlTFm7G08j3vywbZYvpYcJHi5QlikhFbkLEOeOn4ZOMR1Ev3uHwDPnUd/ZMV9rVFFRwcVT5zIFiLTUNFw6cx4ymSzP29i9bSdOHDgiOUB8yXNof6SnpYuvR/UbjMHjRkoKEBnmrV2KEvolAQDp6emIiniFjcvXYMqIsVi+YwNKltKXtJ7Zs2cjPDycASKnVqxYgYSEBIwaNQoAEBwcDAsLCxQtWlRsY2dnh7i4ONy9exfW1taKKpWIiIhI9DTiDR48j1R0GTly4sAR1LC3RVTkKxzZcyDfA4R1rer49/JVvIl6Db2S/zthfCPkGjQ0NKCuoZ7nbQiCkKflCxUunOcaihbTQTHd4uJr3RJ6GDZxNDxcOuPy+Yto3cFV0nry+l5+pAITIN69e4cNGzZg+PDh0NHRAQBERkbCwMBArl3Jkp8SXkREBAMEERERUS48f/IU92/fhWvXjoiL/YAlM+fhxbPnMCxXFmO8hkGneDGMmjZebH/r2n8Y4zUUK/02oXRZQ5w5ehK+67fgVUQEjEyM4dC0EVYvWIr9gSfFZUzNK+P5k2e4eOoc2nRyE6dfOHEa9Z0b4vyJM3I13bt5G5tXrsOjew+hrKIM23r26DWwL7T//0Syh0tn1HFsgJDAK4iJjkEFYyPc/PcGAKCVfSOsCdiK4rrFsXnlelw8fQ7vXr+BhqYmrGtVx18jBqFoMZ1M++HzLkyt7BsBABZNm4Ob/95AfNxHxH/8iOk+88T24U+f469OPeCzde1X929GL5nPu4Ud3XcQB/x24+XzF5ApKaGSmSkmjZ8AS0tLjB49Grt37wYAmJmZ4f79+xAEAWvWrMGOHTvw5s0bVKhQAR4eHmjduvVXt/0jFJgAsW3bNhQpUgQdO3YUpyUmJkJbW1uunbr6p7SalJSU620JgoD4+PhcL0+kaDKZDJqamooug35iCQkJP9XZLiJFSkpKQnp6OtLS0pCWlrm70M94Y5fj+49AU0sTNexskZyUhOVzFuHw7v3oPdgLzi2aYtmcRYj/GA+tQloAgDNHT6CKVVWULmuIoAuBWDB1Frr/1Qe169vjv+DrWLNoWZbbqd/IARdPnRUDREpKCgLPXsS0JXPkAsSD2/cwpv9wNGvTAv1GDEL023dYMXcxJgwehXlrl4r7+KD/HkyYMx2FihRG6bKG2LFuCy6cPIP565ZBW6co1i5ejqALlzFknDf0SxngyaNQLJw2G34btqLP0P5f3SebDuxEt5bt0WeIFxq1aIpb1/7D9FET8PpVlNhF6dSho6hUxQzlK1bAzX+vZ7me6LfvsHK+D7QKFULt+nUAAIFnLmDlvCUYOGY4LKyt8O7tW6yevxTjxo3D7t27MXr0aCQkJCAyMhKLFi1CWloaFixYgEOHDmHcuHEwMjJCcHAwJk2ahNjYWPz555+Sf9YZ0tLSkJ6ejoSEBKSnp2eaLwiC5G5lBSZA7NmzB23btoWGhoY4TUNDA8nJyXLtMoKDlpZWrreVkpKCu3fv5np5IkXT1NSEubm5osugn1hYWBgSEhIUXQbRT0NFRSXLk5dKSko/3QmdtNQ0nD5yHLb16kBdQx3qGuqwqV0Tpw4dQ7d+vVHXqQFWzl+Cy2cvwKl5E6SkpODiqXPoMaAPACBgqx/qOTnAtUsHAIBhubJ48fw59u7wz7Steo0aImCrH95GvYZuyRK4diUYRYvpwNiskly73dt3ooJJRfQdPhAAULZCeYycMg6Dunni2pVg1KxTGwBQ0742qtnWEJfT1NKEkpKS2IWoUhUz1HVsAItqVgCAkqX0Uc22Bp6Ehn1zv2SsQ6twIRQqXBg17WtDp3gxnDlyAu27d0Z6ejpOHzmBdt3kv7z37+yBjO/dGeMpLGysMGv5AuiW0AMAFCmqjUF/j0DDps5iXc1at4DPnAVISkqCqqoqVFVVoaysjCJFiiA6OhqbNm3CjBkzULv2p/fevHlzPH36FGvWrIGLi8s338+XkpKSkJqaisePH2fbRur44gIRIO7du4fnz5+jVatWctMNDAzw4MEDuWlRUVEAAH19aQNSsqKqqgoTE5NcL0+kaPkx8Ix+b0ZGRrwCQSRRUlISXr58CXV1dbkTnT+r4MAriHkXjQbODcVpDRo74erFy7hw6iyc/miMuo4OOHPsJJyaN0HwxStISUlB/Uaf2j9+8BB1HOvLrdOimlWWAcKksikMSpfCxTPn0bqDK86fPIMGjTOPtXga+hg2tjXlphlVMkahwoXwJPSxGCBKlzX86ntzbNYY14NCsGHZarx8Fo7wp8/w4lk4zHMwKDqDsooyHJs54/SR42jfvTP+C76G9zExcGjsJNdu4rwZ0C2hh/j4j9i1aQfu376LTj3dYVTJWGxT1cYKz588xY51mxH+9DlePg/Hk9AwpKenQ11dHYIgQFlZGUpKStDQ0MDDhw+RlJSEsWPHyv3NT0tLE0+u5+azqKKignLlyok9ej736NEj6evJ8Za/g+DgYOjq6qJy5cpy02vVqoU9e/YgLi4Ohf9/kMvly5dRqFChTG1zQiaT5ekKBhHRz+5nO2NKpEhKSkpQUlKCsrLyT9ld6UsnDhwBAEwfMzHTvCO798Ppj8Zo1KIpxg4cjuh373Dm2AnYO9SFVqFCAAAlZWUI6dJPQNT7/25Mzdq0xJVzlzBv7dJMbbI7nyEI8uMI1LL44vu5pf8swMVTZ+HUvAls69ujUy937N7mhzdRubtDlnPLPxCw1Q+P7j3A6aMnULt+XRTWLiLXpmQpfeiX+jRmd+SUsZg0dDQmD/8bC9YvFwPPmaMnsXDqP3Bo2ghVLM3RrG1LvHjyDD6zF0BJ6dNznWUyGWQyGZSVlcXQsHDhQlSsWDFTXZqamuJyUmUEFE1NzSzDR05OThaIJ1HfuXMHZmZmmaY7OzujRIkSGDJkCO7du4cTJ05g/vz56NWrF2/hSkRERJRDMe+iEXzpCpxbNMPijavk/jVu2Qx3b97G09AwWFSzhL6BAU4fPoHgi1fQqHlTcR1GJsa4f/uO3Hrv37rz5aZE9Ro1xN3/buPEwSMwMCyFshXKZWpTwaQi7vx3S25a2MNQxH/8iLIVyme77s+/9Ma+f48jew7gr5GD/38sRzNUNDXB8yfPcn3FtWyFcqhc1RwXTp7BlfOX4Nyi6VfbKysrY8g4b8iUZFgwZZY41sB/83Y0ad0cQ8ePQot2bVHVxgoR4S8A/O/uS5+/l4oVK0JFRQUvX75E+fLlxX9nz57F2rVrcxwe8luBCBCvX78W77z0OXV1daxZswbp6eno0KEDJk+ejM6dO8PLy+vHF0lERET0kztz9ATS0tLg5t4J5Y2N5P61794FSkpKOLx7P2QyGZyaN8GOdZuhXUwHVjVtxHW0c++Ei6fOYc/2nXj5PBwnDhzB/p17st1mRVMTlC5riI3L1mR7q9i2f7ZD2MNQrJy3BM+fPMXNf69j7qQZqGhq8tWHsWloaiDuQxxePHsOrUKFUKhwIVw+dwkvn7/Ak0eP4TNrPkLvP0RqSoqk/aOppYnwJ88Q+/69OM25VTPs37kH6urqcuMvsqNbsgR6DeiLe7fu4KD/XgCAnn5J3P3vFh7df4CI8JfYs30X9u38dNeljC5JWlpaiIqKwvPnz1GkSBF06tQJixYtwt69e/H8+XPs2rULc+bMEe9IqkgFogvT6tWrs51Xvnx5rFu37gdWQ0RERJQz5Uvp/RTbO3HgKKxrVUeZ8mUzzStVpjRqN6iLM0dPoEf/PnBq3gTb125Cqw4ucme8a9jbov+oodi5aRs2Ll8LE7NKaO7aCgd27c12u/WcGsJ3w5Ysxz8AgJlFFUxeMAubV63D4O59oVWoEOwa1EX3v3p/9QnZdRwb4OjeQxjo3gczly3AqOkTsG7xCgzs2huFtYvAqkY1dOvngZ2btiMxMfGb+6ftn+3hv8UXz588w/g50wAA9Rs5YtU8Hzj90URyF7YmrZvj7LFT2LxiLWrXr4O+wwdi6az5+NtrGFRUVWFkYoyRk/7GjLGTcfPmTdSsWRNt27bF8ePH0bJlSxw7dgxjxoxBsWLFsGjRIkRFRaFUqVIYNGgQevfuLamG70km/Gaj6G7evAkAsLTM+WAaooLG6+gSPIp+qegy6CdiUqw0ljUdqOgyiH4qiYmJCAsLg5GRUZZ9x9PS06GsgC4lqWlpePYhCqnpuXsSdW7d/PcGiukWlwshfhu24viBw1i9a8sPreVHiHwZgb7tu2H5jvUoXbZMvq1XXVkV5Yvm/qZAOfWtz3FOviMXiCsQRERERD+rjPAQ8eEtktNTf9h204T0Hx4eAODalas4c+wkhozzhoFhaYQ9DMU+vwA0d1X8A87y0+tXUXhw5x4O+e9Ddbta+RoefnYMEERERET5IDk9FUlp0vra/8z+9OiGxMREzJ88C+9j3qNEyRJo09ENrl07fnvhn0hszHssmjYbpcoYYuzYKYoup0BhgCAiIiIiyVTV1OA5dAA8hw5QdCnflbFZJfidPKDoMgqkAnEXJiIiIiIi+jkwQBARERERkWQMEEREREREJBkDBBERERERScYAQUREREREkjFAEBERERGRZLyNKxEREVE+UFP6sV+r8vogufiPH+Heoj20tDSxfp8vVFTyr/4xXsNw69oNuWkqqqrQKV4MtevZo8cAzyyfhvyreBURid6uXTJN19DUQOkyZeDm3hGNmzWVvL74+Hjs3r0bXbpkXqciMEAQERER5UGakA5lmRJKFdH9odtNTU/Ds9ioXIeIc8dPQ6eYDqLfvUPgmfOo7+yYr/XVa9QQnkP7i68T4hNwLSgYaxYuQ7ogwGvk4HzdXkE0ZuYkVLG0AAAIgoB3b99i58ZtmDdpJsoYlkH5evqS1rNu3ToEBAQwQBARERH9CpRlSpgV6ItnsVE/bJvltEtitH1HKMuUkIrcBYgTB46ghr0toiJf4cieA/keINTU1VBMt7j4upguULqsIR7dfYDzx0//FgGiiHYRuX1QXE8XIyb9jU5N2uLsidNoVs9J0noEQfheJeYKAwQRERFRHj2LjcKj6JeKLkOy50+e4v7tu3Dt2hFxsR+wZOY8vHj2HIblymKM1zDoFC+GUdPGi+1vXfsPY7yGYqXfJpQua4gzR0/Cd/0WvIqIgJGJMRyaNsLqBUuxP/DkN7etqq4GFRVl8XVKSgq2rlqP00dOIP7jR5SvaITOfXqgeu2aYpsHd+5h0/K1uH/7DjQ0NGDfsD56DeoHDQ0NpKWlYb/fbhzZsx9Rka9Q0kAfbTq2wx+urSAIAvq0c0c9pwbo0d9TXN+pQ8ewbM4ibDrgB61ChXDiwBH4b/FFVEQkSpYywB8uLdGyvQuUlJTE7kjd+nlgn18A1DU0ULt+HQRduITVu7aI6/wYF4duLdpj9IyJKFexQrbvX0lJGSoqKnL74MSJE1i5ciUePnyItLQ0VKpUCUOHDkX9+vWxZMkS+Pj4AADMzMxw8uRJlClTBv7+/lizZg1evHgBQ0NDdOrUCe7u7lBS+v5DnDmImoiIiOg3c3z/EWhqaaKGnS3sHepBRUUFh3fvBwA4t2iKoAuBiP8YL7Y/c/QEqlhVRemyhgi6EIgFU2ehcas/sGTzaji3aIaNS1d/c5tpqWm4evEyzhw5jobNGovTF06djWtXQjBi8t9YtHEl6jVywNQRY3H14mUAQOTLCIwdMBzF9XQxd7UPxsycjGtBwVg+ZxEAYN3iFfBdvwWdenWDz5Y1aO7WBqsWLsXeHf6QyWRo1LwJzp04LXcW//TRE7B3qAutQoVwZM8BrFuyAn96uGPptrXo2rcndm3egY3L5N/TyUPHMN1nLkZNGw/nlk0R+SICt2/cFOefP3EGhbWLoLpdrWz3QVzsB6xdshyJiQlwbOoMALh16xYGDhyIFi1aYP/+/fDz80Px4sXh7e2N5ORk9OrVC7169YKBgQEuXLiAUqVKwdfXF7Nnz8aAAQNw8OBBDBkyBKtXr8bcuXO/+XPID7wCQURERPQbSUtNw+kjx2Fbrw7UNdShrqEOm9o1cerQMXTr1xt1nRpg5fwluHz2ApyaN0FKSgounjqHHgP6AAACtvqhnpMDXLt0AAAYliuLF8+fY+8Of7ntnD16EpdOnxNfJyclo4SBPlw6d0CH7p/68r98/gLnjp/Coo0rUdHUBADQ9s/2CHsYioCtfqhV1w5H9xxEkaLaGDx2JJT//6z9wDHDcffmHcR//IhDAfvgMegvNGzaCADQumwZvHoZiV2btqF1R1c4NW+C7Ws34fb1m6hqY4Xot+/wX8g1TJ4/CwDgu34LOvZ0R4PGn7oTGRiWRsLHeCyfswhd+vQU62/u1hrljCqIr00qm+L04eOwsLYE8OmqRsOmjaCs/L8rC5OGjoGS8qfz9enpAtJSU2FqUQVTF82GsWklAICysjLGjx+Pzp07i8t169YNffr0wdu3b1GqVCloaWlBWVkZJUqUAAAsW7YMf/31F1q0aAEAKFu2LOLi4jB58mQMHjwY6urqOflI5BgDBBEREdFvJDjwCmLeRaOBc0NxWoPGTrh68TIunDoLpz8ao66jA84cOwmn5k0QfPEKUlJSUL/Rp/aPHzxEHcf6cuu0qGaVKUDY1q+DHl59AAh4cOceVi1Yimq1qqND9y5iEHj84BEAYFQ/+fEQqalpKFy4EADgSehjmJiZissAgFUNG1jVsMGD2/eQmpoKc+uqcstXtbHCPl9/xERHQ7+UASyrW+PM0ROoamOFs8dOobieHqxq2uB9dAzeRL3GpuVrsGXVOnH59HQBycnJeBURAbX//zJeuqyh3DacWzbD5pXr0HfYALx+9Rp3b97GwL+Hy7UZ+PdwmJpXQXJSEo7sOYBzJ07DpXN7WNWwEdtUqVIFRYsWxapVq/D48WM8ffoU9+7dAwCkpWUe3/Lu3TtERkZi/vz5WLRo0Wc1pyMpKQnh4eEwNjbOtFx+YoAgIiIi+o2cOHAEADB9zMRM847s3g+nPxqjUYumGDtwOKLfvcOZY//r7gMASsrKENK/PahXU0tT/NJdumwZFNfTxfhB3lBSVhYHUAtCOgBg1vKF0NTSkls+48z9124vKyDrOjK6K6kof1q2UfOmWL1wGfoOH4izx07C6Y/GUFJSQvr/b7/3YC9Y16qeaT0lDEri3Zu3AJDprL5Dk0ZYt3gFgi5extPQMJiaV0bZCuXl2uiW0BP3Qb8Rg5CUmITZ46Zius882FT/FCKCgoLg4eGBhg0bokaNGmjVqhUSEhLQv39/ZCU9/VPNY8aMQZ06dTLNL1WqVJbL5SeOgSAiIiL6TcS8i0bwpStwbtEMizeukvvXuGUz3L15G09Dw2BRzRL6BgY4ffgEgi9eQaPm/3tmgZGJMe7fviO33vu37ny5qUysatig7Z/tcDhgH0ICgwAA5SoaAQCi375D6bKG4r8TB4+IQaesUXmE3n8odzY+8MwFeLh0RtkK5aCiooI7N27Jbev29ZsoplschbWLAADqODVAWloaju09iEf3HojvR6dYMRQtpoPIly/lth96/8GnKxJfuftR4SKFYedQD5fPXsDF0+fg3KLZN/eB57AB0C1ZAvOnzEJiYiKAT7dorV27NpYsWYIePXqgbt26iIiIAPC/ICSTycR16Orqonjx4nj+/DnKly8v/rt9+zYWLlz4zRryAwMEERER0W/izNETSEtLg5t7J5Q3NpL71757FygpKeHw7v2QyWRwat4EO9ZthnYxHVjV/F+Xm3bunXDx1Dns2b4TL5+H48SBI9i/c4+k7Xfp0xOlyxpi2eyFSIhPQPmKFVCrrh2Wzl6IoPOXEPniJfy37MCuTdtRyrA0AKCFWxt8iI3FstkL8fzJU9y69h/W+6yEdU0baBUqhGZtW2Lr6g04e+wUXj5/gYO79uBQwD64dG4vfvHW0NBAPacG2Lh8rTgYHPj0xdyta0fs37kbB3buQUT4SwSeuYBlsxdBTV0dqmpqX30/jVs2w6UzFxAZ/hL1G3/7NriaWpoYMGooXr2MwMYVawB8umJw//59BAcHIzw8HP7+/mLXpOTkZACAlpYW3r9/j7CwMKSmpqJPnz7YvHkztmzZgmfPnuH48eOYNGkSNDQ0oPaNmvMDuzARERER5VE57ZI/xfZOHDgK61rVUaZ82UzzSpUpjdoN6uLM0RPo0b+POPi4VQcXuVuD1rC3Rf9RQ7Fz0zZsXL4WJmaV0Ny1FQ7s2vvN7aupq2HA6OEYO2A4Nq9cC8+hA+A9bTw2r1iHpbMX4kNsLAwMS2PQ3yPQqMWnqwS6JfQwZeE/WL90FQZ374si2tqo16ghuvXzAPCp+5G2TlFsWLYaMe+iUbqsIfoNH4imbVrIbbtRy2Y4fuAIGrVoIjfdpXMHqKmrY7/fbqxdvBw6usXRtG0LdOnd/Zvvx7pWdWjrFIW5lQUKFyn8zfYAUM22BpxbNMNuX3/86doBgwYNwps3b9CvXz8AgImJCWbMmIGRI0fi5s2bMDY2RpMmTeDn54fWrVtjy5Yt6NWrF9TV1bF582bMmjULenp66NDh07p+BJlQ0J5M8Z3dvPnpdluWlpYKroQo77yOLvmp7jtOimdSrDSWNR2o6DKIfiqJiYkICwuDkZERNDQ0Ms3PeBL1j5bXJ1Hn1s1/b6CYbnG5EOK3YSuOHzgs91yE30FCfAK6t2qPv2dORjXbGjlaVl1ZFeWLSnsSdX741uc4J9+ReQWCiIiIKA8ywkPEh7dITk/9YdtNE9J/eHgAgGtXruLMsZMYMs4bBoalEfYwFPv8AtDctfUPr0VR4mI/4EbINVw4eRYlDPSzHID9K2OAICIiIsoHyempSEpLUXQZ392fHt2QmJiI+ZNn4X3Me5QoWQJtOrrBtWtHRZf2w6SlpWHJjLnQ1tHBqGnj5QY5/w4YIIiIiIhIMlU1NXgOHQDPoQMUXYrCFC2mgx3H9ym6DIXhXZiIiIiIiEgyBggiIiIiIpKMAYKIiIhIgt/sxpX0i8nPzy8DBBEREdFXKCsrAwBSUn79AdL060pN/XSHMBWVvA+BZoAgIiIi+gpVVVWoq6vj/fv3vApBP63Y2FgoKyuLgTgveBcmIiIiom/Q09PDixcvEB4ejqJFi0JVVTXTrTtTk1OQlvbjngNBP7dU5U8Pd/veBEHAx48fERsbi1KlSuXLLWcZIIiIiIi+QVtbGwDw5s0bvHjxIss2bxNiFfJgN/o5qSgpI1nzww/Zlkwmg46ODooWLZov62OAICIiIpJAW1sb2traSElJQVpa5qCw6cIWPHsfpYDK6GdUrmhJTKzX9YdsS1VVNV+6LmVggCAiIiLKAVVVVaiqqmaa/j4tAa9TfswZZfr5FU0rAg0NDUWXkSscRE1ERERERJIxQBARERERkWQMEEREREREJBkDBBERERERScYAQUREREREkhWIALFnzx40b94clpaWaNGiBQ4fPizOCw8PR9++fVG9enXUq1cPCxcuzPLWaURERERE9P0pPEDs3bsXY8eORZcuXXDw4EG0bNkSw4YNw7Vr15CSkgIPDw8AwI4dOzBp0iRs374dS5cuVXDVRERERES/J4U+B0IQBCxatAjdunVDly5dAAB//fUXgoODERQUhBcvXuDly5fw8/ND0aJFYWpqirdv32L27Nno168f1NTUFFk+EREREdFvR6FXIMLCwvDixQu0atVKbvratWvRt29fBAcHw8LCQu6x23Z2doiLi8Pdu3d/dLlERERERL89hV6BCAsLAwDEx8fDw8MDd+7cQZkyZfDXX3/ByckJkZGRMDAwkFumZMmSAICIiAhYW1vnaruCICA+Pj5vxRMpkEwmg6ampqLLoJ9YQkICBEFQdBlEvwQekykvCsrxWBAEyGQySW0VGiDi4uIAAKNGjcKAAQMwYsQIHD16FF5eXli/fj0SExOhra0tt4y6ujoAICkpKdfbTUlJ4RUM+qlpamrC3Nxc0WXQTywsLAwJCQmKLoPol8BjMuVFQToeSx0eoNAAoaqqCgDw8PCAi4sLAKBKlSq4c+cO1q9fDw0NDSQnJ8stkxEctLS08rRdExOTXC9PpGhSzxAQZcfIyKhAnPEi+hXwmEx5UVCOx48ePZLcVqEBQl9fHwBgamoqN93ExARnzpyBra0tHjx4IDcvKipKbtnckMlkeQogREQ/O3a3ICIqGArK8TgnQVihg6gtLCxQqFAh3LhxQ276gwcPUK5cOdSqVQt37twRuzoBwOXLl1GoUCFUrlz5R5dLRERERPTbU2iA0NDQQO/evbF06VIcOHAAz549w/Lly3Hx4kX07NkTzs7OKFGiBIYMGYJ79+7hxIkTmD9/Pnr16sVbuBIRERERKYBCuzABgJeXFzQ1NbFgwQK8evUKxsbGWLJkCWrXrg0AWLNmDSZPnowOHTqgaNGi6Ny5M7y8vBRcNRERERHR70nhAQIAevbsiZ49e2Y5r3z58li3bt0ProiIiIiIiLKi0C5MRERERET0c2GAICIiIiIiyRggiIiIiIhIMgYIIiIiIiKSjAGCiIiIiIgkY4AgIiIiIiLJGCCIiIiIiEgyBggiIiIiIpKMAYKIiIiIiCRjgCAiIiIiIskYIIiIiIiISDIGCCIiIiIikowBgoiIiIiIJGOAICIiIiIiyRggiIiIiIhIMgYIIiIiIiKSjAGCiIiIiIgkY4AgIiIiIiLJGCCIiIiIiEgyBggiIiIiIpKMAYKIiIiIiCRjgCAiIiIiIskYIIiIiIiISDIGCCIiIiIikowBgoiIiIiIJGOAICIiIiIiyRggiIiIiIhIMgYIIiIiIiKSjAGCiIiIiIgkY4AgIiIiIiLJGCCIiIiIiEgyBggiIiIiIpKMAYKIiIiIiCRjgCAiIiIiIskYIIiIiIiISDIGCCIiIiIikowBgoiIiIiIJGOAICIiIiIiyRQeIF69egUzM7NM/wICAgAAd+/eRdeuXVGtWjU4OTlh06ZNCq6YiIiIiOj3paLoAu7duwd1dXWcOHECMplMnF6kSBFER0ejZ8+ecHJywuTJk3H9+nVMnjwZhQoVgpubmwKrJiIiIiL6PSk8QDx48AAVKlRAyZIlM83buHEjVFVVMWXKFKioqMDY2BhPnz7FqlWrGCCIiIiIiBRA4V2Y7t+/D2Nj4yznBQcHw9bWFioq/8s5dnZ2ePLkCd68efOjSiQiIiIiov+n8ADx4MEDvHv3Dl26dEGdOnXw559/4ty5cwCAyMhIGBgYyLXPuFIRERHxw2slIiIiIvrdKbQLU2pqKh4/fgwTExOMHj0ahQsXxsGDB+Hp6Yn169cjMTERampqcsuoq6sDAJKSknK9XUEQEB8fn6faiRRJJpNBU1NT0WXQTywhIQGCICi6DKJfAo/JlBcF5XgsCILceOSvUWiAUFFRwZUrV6CsrAwNDQ0AQNWqVfHw4UOsXbsWGhoaSE5OllsmIzhoaWnlerspKSm4e/du7gsnUjBNTU2Ym5srugz6iYWFhSEhIUHRZRD9EnhMprwoSMfjL0/cZ0fhg6gLFSqUaVqlSpVw4cIFGBgYICoqSm5exmt9ff1cb1NVVRUmJia5Xp5I0aSeISDKjpGRUYE440X0K+AxmfKioByPHz16JLmtQgPEw4cP0bFjRyxfvhy1a9cWp9+6dQsmJiaoUqUKduzYgbS0NCgrKwMALl++DCMjI+jq6uZ6uzKZLE9XMIiIfnbsbkFEVDAUlONxToKwQgdRGxsbo2LFipgyZQqCg4MRGhqKmTNn4vr16/jrr7/g5uaGuLg4jB07Fo8ePUJAQAA2bNiAvn37KrJsIiIiIqLflkKvQCgpKWHFihWYN28ehgwZgtjYWJibm2P9+vUwNTUFAKxZswbTp0+Hi4sLSpQoAW9vb7i4uCiybCIiIiKi35bCx0Do6elh5syZ2c63srKCr6/vD6yIiIiIiIiyo/DnQBARERER0c+DAYKIiIiIiCRjgCAiIiIiIskYIIiIiIiISDIGCCIiIiIikowBgoiIiIiIJGOAICIiIiIiyRggiIiIiIhIMgYIIiIiIiKSjAGCiIiIiIgkY4AgIiIiIiLJGCCIiIiIiEgyBggiIiIiIpKMAYKIiIiIiCRjgCAiIiIiIskYIIiIiIiISDIGCCIiIiIikowBgoiIiIiIJFPJ6QKpqakICgpCYGAgwsPD8eHDBxQrVgylS5dGgwYNUL16dchksu9RKxERERERKZjkAJGcnIxt27Zhw4YNiIyMRNGiRVG6dGloamoiMjISZ86cwcqVK1GyZEn06dMHHTt2hJqa2vesnYiIiIiIfjBJAeK///6Dt7c3VFVV0blzZzRr1gzlypXL1O7Bgwc4e/YstmzZgk2bNmHOnDmoVq1aftdMREREREQKIilAjBo1CiNGjICzs/NX25mamsLU1BR9+vTB0aNHMXr0aBw5ciRfCiUiIiIiIsWTFCD27dsHVVXVHK24adOmcHJyylVRRERERERUMEm6C1NOw0NelyMiIiIiooIpx3dhyiAIArZt24Zjx47hzZs3KF68OJydndGlSxeoqOR6tUREREREVIDl+pv+woULcfLkSbRt2xZFixZFVFQUNm7ciNDQUEyZMiU/ayQiIiIiogJCUoB48eIFDA0N5aYdP34cS5YsgbGxsTitatWqGDlyJAMEEREREdEvStIYCFdXV8ycORPR0dHiNCMjI6xevRq3bt3C8+fP8e+//2Lz5s2oVKnSdyuWiIiIiIgUS1KA2L9/PxISEtCsWTMsW7YMCQkJmDp1KuLi4tCxY0c0btwYXbt2hZKSEubMmfO9ayYiIiIiIgWR1IWpZMmSmDJlCrp374758+ejcePG8PLywqJFiyAIAmJiYlCsWDEoKyt/73qJiIiIiEiBJF2ByGBsbIylS5di0aJF2L9/P/744w8cO3YMenp6DA9ERERERL8ByQEiNTUVoaGhePDgASwtLbF9+3aMGDECixcvhqurKy5duvQ96yQiIiIiogJAUhem//77D0OGDMHLly8BAHp6epgzZw6aNGmCRo0awc/PD97e3qhUqRJGjBgBCwuL71o0EREREREphqQrEJMmTULdunURFBSEf//9F3379sWoUaMAAMrKyvjzzz9x7Ngx1KhRA927d/+uBRMRERERkeJIChDPnj1DkyZNoK2tDS0tLbRs2RJRUVFITEwU22hpaWHAgAE4duzYdyuWiIiIiIgUS1IXpjp16mD69Ono1KkT1NXVceTIEdSqVQsaGhqZ2hYvXjzfiyQiIiIiooJBUoCYMWMGli5dir1790Imk6FatWoYMGDA966NiIiIiIgKGEkBonDhwuKYByIiIiIi+n1JGgMRGBiYq5Xz1q5ERERERL8WSQFizpw5GDBgAO7evStppcHBwejbty/mzJmTo2LCwsJgY2ODgIAAcdrdu3fRtWtXVKtWDU5OTti0aVOO1klERERERPlHUhcmPz8/LF++HB07doShoSGaNGkCKysrlClTBlpaWoiNjUVERARCQkJw/vx5PH/+HD169ICPj4/kQlJSUjBixAjEx8eL06Kjo9GzZ084OTlh8uTJuH79OiZPnoxChQrBzc0t5++WiIiIiIjyRFKAUFFRwcCBA9GxY0esX78eAQEBWLlyJWQymdhGEASULl0aTZs2RY8ePaCvr5+jQpYsWYLChQvLTfPz84OqqiqmTJkCFRUVGBsb4+nTp1i1ahUDBBERERGRAkgKEBlKliyJUaNGYdSoUQgNDUV4eDg+fPiAYsWKoXTp0jAyMspVEVevXoWvry/27NmDhg0bitODg4Nha2sLFZX/lWlnZ4eVK1fizZs30NPTy9X2iIiIiIgod3IUID5nbGwMY2PjPBcQGxsLb29vjBs3DqVKlZKbFxkZCVNTU7lpJUuWBABEREQwQBARERER/WC5DhD5ZdKkSbCxsUGrVq0yzUtMTISamprcNHV1dQBAUlJSrrcpCILcWAuin41MJoOmpqaiy6CfWEJCAgRBUHQZRL8EHpMpLwrK8VgQBLnhCV+j0ACxZ88eBAcHY//+/VnO19DQQHJysty0jOCgpaWV6+2mpKRIvqMUUUGkqakJc3NzRZdBP7GwsDAkJCQougyiXwKPyZQXBel4/OWJ++woNED4+/vj7du3cuMeAGDixIk4dOgQDAwMEBUVJTcv43VOB2l/TlVVFSYmJrlenkjRpJ4hIMqOkZFRgTjjRfQr4DGZ8qKgHI8fPXokua1CA8TcuXORmJgoN61JkyYYNGgQWrdujb1792LHjh1IS0uDsrIyAODy5cswMjKCrq5urrcrk8nydAWDiOhnx+4WREQFQ0E5HuckCEt6kFxW0tPTce/ePZw7dw5xcXGIiYnJ8Tr09fVRvnx5uX8AoKurC319fbi5uSEuLg5jx47Fo0ePEBAQgA0bNqBv3765LZuIiIiIiPIgV1cg9u7di3nz5iEqKgpKSkrYuXMnlixZAlVVVcybN09y/6lv0dXVxZo1azB9+nS4uLigRIkS8Pb2houLS76sn4iIiIiIcibHAeLQoUMYNWoUWrduDUdHRwwdOhQA0LhxY0yePBnLli3DkCFDcl3Q/fv35V5bWVnB19c31+sjIiIiIqL8k+MAsWLFCnTq1AmTJk1CWlqaON3NzQ3v3r2Dn59fngIEEREREREVXDkeAxEWFobGjRtnOc/a2hqvXr3Kc1FERERERFQw5ThA6OrqIjQ0NMt5oaGhebo7EhERERERFWw5DhDNmzfH4sWLceTIEfEhbzKZDLdu3cKyZcvQrFmzfC+SiIiIiIgKhhyPgRgyZAgePHiAIUOGQEnpU/5wd3dHfHw8atasicGDB+d7kUREREREVDDkOECoqalhzZo1uHjxIi5fvoyYmBgUKVIEtra2cHBw4NMYiYiIiIh+YTkOEHv27IGDgwPq1q2LunXrys17/fo19uzZgz59+uRbgUREREREVHDkeAzEmDFj8Pz58yzn3b17F4sXL85zUUREREREVDBJugLh6ekp3nlJEAT0798/y6dNv337FuXKlcvfComIiIiIqMCQFCD69euHnTt3AgB2794Nc3NzFC9eXK6NkpIStLW14erqmv9VEhERERFRgSApQFSvXh3Vq1cXX3t5eaFs2bLfrSgiIiIiIiqYcjwGYubMmdmGh/j4eJw7dy7PRRERERERUcGU47swvXz5EhMnTkRQUJD4ILkv3b17N8+FERERERFRwZPjADFjxgz8+++/aN++Pf79919oamqiWrVquHjxIh48eIAlS5Z8jzqJiIiIiKgAyHEXpqtXr2Lo0KEYN24cXF1doa6ujpEjR8Lf3x+1atXCyZMnv0edRERERERUAOQ4QHz8+BFmZmYAgIoVK+LOnTsAAGVlZXTu3BmXL1/O3wqJiIiIiKjAyHGAKFmyJN68eQMAKF++PN6/f4/Xr18DAHR0dPD27dv8rZCIiIiIiAqMHAcIBwcHLFy4ENeuXYOhoSEMDAywbt06xMXFwd/fH/r6+t+jTiIiIiIiKgByHCAGDRoEbW1tLFq0CAAwdOhQbNy4EbVq1cL+/fvRs2fPfC+SiIiIiIgKhhzfhalYsWLYuXMnoqKiAACtW7dG6dKlcf36dVhZWcHW1jbfiyQiIiIiooIhxwEiQ8mSJcX/16xZEzVr1oQgCNi6dSu6dOmSL8UREREREVHBIjlAnDt3Drt374ZMJkObNm3g4OAgNz84OBjTpk3D/fv3GSCIiIiIiH5RkgLEvn374O3tDVVVVaipqeHw4cNYvHgxGjdujJiYGEybNg0HDx6EsrIyx0AQEREREf3CJAWIjRs3wtraGmvXroWamhrGjBmDpUuXolKlSujZsyciIiJQv359/P333zAyMvreNRMRERERkYJIChBPnjzB1KlTUbhwYQDAgAED0Lx5c3h5eSE5ORmLFi1C06ZNv2uhRERERESkeJICRHx8PEqVKiW+NjQ0hCAIUFFRwb59+6Crq/vdCiQiIiIiooJD0nMgBEGAsrKy+Drj/0OHDmV4ICIiIiL6jeT4QXKf+/xWrkRERERE9OvLU4CQyWT5VQcREREREf0EJD8HYtKkSeIgakEQAADjx49HoUKF5NrJZDJs3LgxH0skIiIiIqKCQlKAqFWrFoD/BYfspmX1moiIiIiIfh2SAsTmzZu/dx1ERERERPQTyNMYCCIiIiIi+r0wQBARERERkWQMEEREREREJBkDBBERERERScYAQUREREREkjFAEBERERGRZAwQREREREQkmcIDxNu3bzFy5EjY2dnBxsYGnp6eCA0NFeffvXsXXbt2RbVq1eDk5IRNmzYpsFoiIiIiot+bwgNE//798fTpU6xatQq7du2ChoYGevTogYSEBERHR6Nnz54oV64c/P390b9/f8ydOxf+/v6KLpuIiIiI6Lck6UnU38v79+9haGiIvn37wtTUFADg5eWFNm3a4OHDhwgMDISqqiqmTJkCFRUVGBsbi2HDzc1NkaUTEREREf2WFHoFomjRopg3b54YHt69e4cNGzbAwMAAJiYmCA4Ohq2tLVRU/pdz7Ozs8OTJE7x580ZRZRMRERER/bYUegXic+PHj4efnx/U1NSwfPlyaGlpITIyUgwXGUqWLAkAiIiIgJ6eXq62JQgC4uPj81wzkaLIZDJoamoqugz6iSUkJEAQBEWXQfRL4DGZ8qKgHI8FQYBMJpPUtsAEiO7du6Njx47YunUr+vfvj23btiExMRFqampy7dTV1QEASUlJud5WSkoK7t69m6d6iRRJU1MT5ubmii6DfmJhYWFISEhQdBlEvwQekykvCtLx+Mvv3dkpMAHCxMQEADB9+nTcuHEDW7ZsgYaGBpKTk+XaZQQHLS2tXG9LVVVV3B7Rz0jqGQKi7BgZGRWIM15EvwIekykvCsrx+NGjR5LbKjRAvHv3DoGBgWjatKk4zkFJSQkmJiaIioqCgYEBoqKi5JbJeK2vr5/r7cpksjwFECKinx27WxARFQwF5XickyCs0EHUb968wbBhwxAYGChOS0lJwZ07d2BsbIxatWohJCQEaWlp4vzLly/DyMgIurq6iiiZiIiIiOi3ptAAYWpqigYNGmDatGm4evUqHjx4gNGjRyM2NhY9evSAm5sb4uLiMHbsWDx69AgBAQHYsGED+vbtq8iyiYiIiIh+Wwp/kNz8+fNhb2+PoUOHon379oiJicHWrVtRunRp6OrqYs2aNQgLC4OLiwt8fHzg7e0NFxcXRZdNRERERPRbUvgg6iJFimDSpEmYNGlSlvOtrKzg6+v7Y4siIiIiIqIsKfwKBBERERER/TwYIIiIiIiISDIGCCIiIiIikowBgoiIiIiIJGOAICIiIiIiyRggiIiIiIhIMgYIIiIiIiKSjAGCiIiIiIgkY4AgIiIiIiLJGCCIiIiIiEgyBggiIiIiIpKMAYKIiIiIiCRjgCAiIiIiIskYIIiIiIiISDIGCCIiIiIikowBgoiIiIiIJGOAICIiIiIiyRggiIiIiIhIMgYIIiIiIiKSjAGCiIiIiIgkY4AgIiIiIiLJGCCIiIiIiEgyBggiIiIiIpKMAYKIiIiIiCRjgCAiIiIiIskYIIiIiIiISDIGCCIiIiIikowBgoiIiIiIJGOAICIiIiIiyRggiIiIiIhIMgYIIiIiIiKSjAGCiIiIiIgkY4AgIiIiIiLJGCCIiIiIiEgyBggiIiIiIpKMAYKIiIiIiCRjgCAiIiIiIskYIIiIiIiISDKFB4iYmBhMmDABDRo0QPXq1fHnn38iODhYnB8YGAhXV1dYW1ujWbNmOHjwoAKrJSIiIiL6vSk8QAwbNgzXrl3D/Pnz4e/vjypVqsDDwwOPHz9GaGgo+vbti/r16yMgIADt27eHt7c3AgMDFV02EREREdFvSUWRG3/69CkuXryIbdu2oUaNGgCA8ePH4/z589i/fz/evn0LMzMzDB06FABgbGyMO3fuYM2aNbC3t1dk6UREREREvyWFXoEoVqwYVq1aBUtLS3GaTCaDTCZDbGwsgoODMwUFOzs7hISEQBCEH10uEREREdFvT6EBQltbGw4ODlBTUxOnHT16FE+fPkX9+vURGRkJAwMDuWVKliyJhIQEREdH/+hyiYiIiIh+ewrtwvSlf//9F2PGjEGTJk3QsGFDJCYmyoULAOLr5OTkXG9HEATEx8fnqVYiRZLJZNDU1FR0GfQTS0hI4JVconzCYzLlRUE5HguCAJlMJqltgQkQJ06cwIgRI1C9enXMnTsXAKCurp4pKGS8zssvakpKCu7evZv7YokUTFNTE+bm5ooug35iYWFhSEhIUHQZRL8EHpMpLwrS8fjLE/fZKRABYsuWLZg+fTqaNWuGf/75Ryy+VKlSiIqKkmsbFRUFLS0tFClSJNfbU1VVhYmJSZ5qJlIkqWcIiLJjZGRUIM54Ef0KeEymvCgox+NHjx5JbqvwALFt2zZMnToV7u7uGDt2rNwvYc2aNREUFCTX/vLly6hevTqUlHI/fEMmk0FLSyvXyxMR/ezY3YKIqGAoKMfjnARhhQaIsLAwzJgxA40bN0bfvn3x5s0bcZ6Ghgbc3d3h4uKCuXPnwsXFBWfPnsWRI0ewZs0aBVZNRERERPT7UmiAOHr0KFJSUnD8+HEcP35cbp6LiwtmzZqFZcuWYc6cOdi4cSPKlCmDOXPm8BkQREREREQKotAA0a9fP/Tr1++rbRo0aIAGDRr8oIqIiIiIiOhrFPocCCIiIiIi+rkwQBARERERkWQMEEREREREJBkDBBERERERScYAQUREREREkjFAEBERERGRZAwQREREREQkGQMEERERERFJxgBBRERERESSMUAQEREREZFkDBBERERERCQZAwQREREREUnGAEFERERERJIxQBARERERkWQMEEREREREJBkDBBERERERScYAQUREREREkjFAEBERERGRZAwQREREREQkGQMEERERERFJxgBBRERERESSMUAQEREREZFkDBBERERERCQZAwQREREREUnGAEFERERERJIxQBARERERkWQMEEREREREJBkDBBERERERScYAQUREREREkjFAEBERERGRZAwQREREREQkGQMEERERERFJxgBBRERERESSMUAQEREREZFkDBBERERERCQZAwQREREREUnGAEFERERERJIxQBARERERkWQMEEREREREJFmBChArV66Eu7u73LS7d++ia9euqFatGpycnLBp0yYFVUdERERERAUmQGzduhULFy6UmxYdHY2ePXuiXLly8Pf3R//+/TF37lz4+/srpkgiIiIiot+ciqILePXqFSZOnIgrV66gQoUKcvP8/PygqqqKKVOmQEVFBcbGxnj69ClWrVoFNzc3xRRMRERERPQbU/gViNu3b0NVVRX79u2DtbW13Lzg4GDY2tpCReV/OcfOzg5PnjzBmzdvfnSpRERERES/PYVfgXBycoKTk1OW8yIjI2Fqaio3rWTJkgCAiIgI6Onpfff6iIiIiIjofxQeIL4mMTERampqctPU1dUBAElJSbleryAIiI+Pz1NtRIokk8mgqamp6DLoJ5aQkABBEBRdBtEvgcdkyouCcjwWBAEymUxS2wIdIDQ0NJCcnCw3LSM4aGlp5Xq9KSkpuHv3bp5qI1IkTU1NmJubK7oM+omFhYUhISFB0WUQ/RJ4TKa8KEjH4y9P3GenQAcIAwMDREVFyU3LeK2vr5/r9aqqqsLExCRPtREpktQzBETZMTIyKhBnvIh+BTwmU14UlOPxo0ePJLct0AGiVq1a2LFjB9LS0qCsrAwAuHz5MoyMjKCrq5vr9cpksjxdwSAi+tmxuwURUcFQUI7HOQnCCr8L09e4ubkhLi4OY8eOxaNHjxAQEIANGzagb9++ii6NiIiIiOi3VKADhK6uLtasWYOwsDC4uLjAx8cH3t7ecHFxUXRpRERERES/pQLVhWnWrFmZpllZWcHX11cB1RARERER0ZcK9BUIIiIiIiIqWBggiIiIiIhIMgYIIiIiIiKSjAGCiIiIiIgkY4AgIiIiIiLJGCCIiIiIiEgyBggiIiIiIpKMAYKIiIiIiCRjgCAiIiIiIskYIIiIiIiISDIGCCIiIiIikowBgoiIiIiIJGOAICIiIiIiyRggiIiIiIhIMgYIIiIiIiKSjAGCiIiIiIgkY4AgIiIiIiLJGCCIiIiIiEgyBggiIqL/l5aerugSiIgKPBVFF0Cf/mApKzHLEREpmrKSEqas3Y2nEW8UXQr9RGpXNYZnWydFl0H0wzBAFAD8g0U5xT9WRN/P04g3ePA8UtFl0E+knIGuoksg+qEYIAoI/sGinOAfKyIiIlIU9pshIiIiIiLJGCCIiIiIiEgyBggiIiIiIpKMAYKIiIiIiCRjgCAiIiIiIskYIIiIiIiISDIGCCIiIiIikowBgoiIiIiIJGOAICIiIiIiyRggiIiIiIhIMgYIIiIiIiKSjAGCiIiIiIgkY4AgIiIiIiLJGCCIiIiIiEgyBggiIiIiIpKMAYKIiIiIiCRjgCAiIiIiIsl+igCRnp6OxYsXo379+qhWrRr69OmD58+fK7osIiIiIqLfzk8RIJYtW4Zt27Zh6tSp2LFjB9LT09G7d28kJycrujQiIiIiot9KgQ8QycnJWLduHQYNGoSGDRuicuXKWLBgASIjI3Hs2DFFl0dERERE9Fsp8AHi3r17+PjxI+zt7cVp2traMDc3x9WrVxVYGRERERHR70dF0QV8S2RkJACgVKlSctNLliwpzsuJlJQUCIKA//77L1/qyw8ymQw9nKyQkmah6FLoJ6GhpoqbN2/iT91aSC2Wpuhy6CeioqSMmzdvQhAERZdSIPF4TLnBYzLlRkE7HqekpEAmk0lqW+ADREJCAgBATU1Nbrq6ujrev3+f4/Vl7BipO+hH0SmipegS6Ceko15I0SXQT6qgHQMLEh6PKbd4TKbcKCjHY5lM9usECA0NDQCfxkJk/B8AkpKSoKmpmeP12djY5FttRERERES/mwI/BiKj61JUVJTc9KioKOjr6yuiJCIiIiKi31aBDxCVK1dG4cKFceXKFXFabGws7ty5g1q1aimwMiIiIiKi30+B78KkpqaGrl27Yu7cuShevDgMDQ0xZ84cGBgYoEmTJoouj4iIiIjot1LgAwQADBo0CKmpqRg3bhwSExNRq1YtrF27FqqqqooujYiIiIjotyITCsq9o4iIiIiIqMAr8GMgiIiIiIio4GCAICIiIiIiyRggiIiIiIhIMgYIIiIiIiKSjAGCiIiIiIgkY4AgIiIiIiLJGCCICignJyc4OTkhLi4u07zRo0fD3d1dAVUREf36xowZAysrK4SFhWWa9/r1a9ja2mLEiBEKqIyoYGCAICrAXrx4gdmzZyu6DCKi38qYMWNQtGhRTJgwAV8+LmvKlCnQ1NTEhAkTFFQdkeIxQBAVYGXLloWvry8uXbqk6FKIiH4b2tramDJlCoKCguDn5ydOP3r0KI4fP44ZM2ZAW1tbgRUSKRYDBFEB1rp1a9jb22Ps2LFZdmUCgJiYGEyePBkODg6wsrJCp06dcOXKlR9cKRHRr8XR0RGtW7fGnDlz8ObNG8TFxWHq1Kno3Lkz6tati9DQUPTp0wc2NjaoV68ehg8fjtevX4vLP3nyBB4eHqhRowZsbGzg4eGB+/fvK/AdEeUfBgiiAkwmk2H69Ol4//49/vnnn0zz09LS0KtXLwQHB2POnDkICAiAqakpPDw88N9//ymgYiKiX8e4ceOgoaGBOXPmYNGiRShUqBBGjhyJV69eoXPnzihfvjx27dqFFStWIC4uDh07dkR8fDwAYNiwYdDX14e/vz927twJJSUlDBgwQMHviCh/MEAQFXCGhoYYNWoU/Pz8cOHCBbl5Fy5cwO3btzFv3jzY2trCxMQEkydPRqVKlbB27VoFVUxE9GsoWrQoJk2ahL1792LHjh2YPXs2NDU1sX37dhgYGGDcuHEwNjZG1apVsXDhQrx9+xZHjhwBADx79gzFixeHoaEhTExMMGPGDEybNg3p6ekKfldEeaei6AKI6Ns6duyIo0ePYty4cThw4IA4/cGDByhSpAhMTU3FaTKZDDVr1swUNoiIKOecnZ1RtWpVGBoawtraGgBw584dPHz4EDY2NnJtk5KSEBoaCgAYOnQoZsyYgW3btsHW1hb169dHy5YtoaTEc7f082OAIPpJTJs2Da1atcLMmTPFaV/eHeTz6Soq/PUmIsoPmpqa0NTUFF+np6fDzs4OEydOzNS2SJEiAIAuXbqgWbNmOHv2LAIDA7F48WIsX74ce/bsgZ6e3g+rneh7YAwm+kmULl0ao0ePxq5duxAcHAwAMDMzw4cPH/DgwQOxnSAICAkJgYmJiaJKJSL6pVWqVAmhoaEoVaoUypcvj/Lly6No0aKYMWMGHjx4gLdv32LKlClISUmBq6sr5syZg3379uH169cICgpSdPlEecYAQfQTad++PerVq4fnz58DAOrVq4cqVapg+PDhCAoKQmhoKKZMmYIHDx6ge/fuCq6WiOjX1LlzZ3z48AEjRozAvXv3cO/ePQwdOhQ3b96EqakpihYtijNnzmDcuHG4e/cunj9/jh07dkBVVRVVq1ZVdPlEecYAQfSTmTZtmniJXFlZGevWrYO5uTkGDBgANzc3PHz4EBs2bEC1atUUWygR0S+qbNmy2LJlCz5+/Ig///wTXbt2haqqKjZt2oTixYtDRUUFq1evhpKSEnr06IEWLVrg0qVLWLVqFcqVK6fo8onyTCZk14maiIiIiIjoC7wCQUREREREkjFAEBERERGRZAwQREREREQkGQMEERERERFJxgBBRERERESSMUAQEREREZFkDBBERERERCQZAwQRUQHCR/NQThTEz0tBrImI8hcDBBEVOMOHD4eZmRnWrVv3XdYfEBAAMzMzhIeHAwDc3d3h7u6eo3VIWWbJkiUwMzMTXzs5OWH06NEAgPDwcJiZmSEgIAAAEBsbC29vbwQHB+eojtyaM2cObG1tUa1aNezZs0duXkREBKpUqYLJkydnu/ytW7dgZmaGXbt2fedKPxk9ejScnJx+yLaykpaWhtq1a2P58uUwMzP75r+Mz9b3dPLkSYwaNeq7bycnQkJC4OnpqegyiOg7U1F0AUREn/vw4QNOnDgBU1NT+Pr6omfPnpDJZPm6jYYNG8LX1xclS5bM1/V+qX379qhfv36W80qWLAlfX1+UK1cOAHD37l3s3bsXbm5u37UmAHjw4AHWrFmDDh06oE2bNqhYsaLc/FKlSqFOnTo4fPgwxo4dCxWVzH8q9uzZg0KFCqF58+bfvV4A8PLyQrdu3X7ItrJy/fp1AEDXrl1hb28vTr99+zamTJmCCRMmwMLCQpz+vT9bALBhw4bvvo2c2rlzJ0JDQxVdBhF9ZwwQRFSgHDhwAAAwduxYdO/eHZcvX5b7wpYfihcvjuLFi+frOrNiYGAAAwODLOepqamhWrVq372GrMTExAAAWrRogZo1a2bZxs3NDRcuXMCFCxfQsGFDuXkpKSk4cOAAmjdvDi0tre9c7ScZQUtRzp07h7p166JIkSJyP7ekpCQAgImJicJ+nkREPxq7MBFRgeLv7w97e3vY2dmhfPny2LFjhzivV69ecHV1zbSMl5cXWrduLb7euXMnXF1dUa1aNVhZWaFNmzY4fPiwOP/LLkxfevfuHSZPngxHR0dUrVoVtra26N+/f5btly5dijp16sDGxgZeXl54/vy5OO/LLkyf+7wL05UrV8Sz6926dYO7uzu2bt0KMzMzhIWFyS23d+9eVKlSBREREVmuFwAOHToEV1dX2NjYoG7dupgwYQLev38v1pTR9ap79+7ZdgtydnaGjo4O9u/fn2ne2bNnER0djXbt2gEArl69Cg8PD9SqVQtVq1aFk5MTlixZgvT0dHGZuLg4TJ06FfXr10e1atXg5uaGM2fOiPMFQcCGDRvwxx9/wMrKCo0bN8batWvF/vRfdmFycnLC4sWL8c8//6BOnTqwsrKCh4cHnjx5IldrcHAwunbtCmtra9ja2mLUqFF49+6dOD89PR0LFiyAk5OTWPu8efOQkpIit55z586hQYMG2e7zrJiZmcHHxweurq6wsrKCj48PAODly5cYNmwYbG1tYW1tje7du+POnTtyy4aHh8Pb2xv16tWDhYUF7O3t4e3tjejoaACfutAFBQUhKCgIZmZmuHLlCq5cuQIzMzMEBgbC3d0dVlZWaNiwIXbu3ImoqCgMGDAANjY2cHBwyHT1IiYmBhMmTECdOnVgaWmJDh06IDAwMNP72bp1K8aOHQtbW1vY2Nhg8ODBePPmjfgz2r17N168eCHXPe/AgQNo3bo1rKysYGdnhxEjRuDVq1c52pdEVLAwQBBRgfHw4UPcvHkTbdu2BQC0bdsWJ0+eFL+gtG7dGrdv38bTp0/FZWJjY3Hu3Dm0adMGALB161ZMmDABzs7OWLlyJebOnQs1NTWMGDECkZGR36xBEAT07dsXFy9exIgRI7B27VoMGDAAgYGBmDhxolzbkJAQHDx4EBMmTMC0adNw7949dOvWDXFxcTl63xYWFpgwYQIAYMKECZg4cSJatWoFdXV17N27V67tnj17YG9vj1KlSmW5rmXLlmHYsGGoVq0aFi9ejP79++Po0aNwd3dHYmIi2rdvL7etjC+1X1JTU0OrVq1w8uRJfPz4MVMNlSpVQrVq1XDv3j306NEDOjo6WLBgAZYvX46aNWvCx8dHDG1paWno1asX9u/fj759+2LZsmWoWLEi+vfvL475mD17NmbPng0nJyesWLEC7dq1w9y5c7Fq1aps99umTZvw+PFjzJw5E9OmTcOtW7fkxgRcvXoVPXr0gIaGBhYuXIi///4bQUFB6NatGxITEwEAq1evxvbt29G/f3+sW7cOf/75J9auXYvly5eL64mKisL9+/ez7Y72NStWrECrVq2wePFiNG3aFO/evUOnTp1w+/ZtjB8/HvPmzUN6ejq6dOkidv1JSEhAt27dEBoaiokTJ2Lt2rXo1q0bDh48iAULFgAAJk6cCHNzc5ibm8PX11eu+9SwYcPg5OSElStXwsjICBMnTkS3bt1QqVIlLFu2DFZWVpg5cyb+++8/AJ+uonTv3h0nT57E0KFD4ePjAwMDA/Tu3TtTiFiwYAHS09Mxf/58eHt74/Tp05gxYwaAT0HewcEBJUqUgK+vLxo2bIiQkBB4e3ujSZMmWL16NcaMGYPLly9j+PDhOd6XRFRwsAsTERUY/v7+0NHREc80u7i4YMmSJdi1axf69euHJk2aYPLkyThw4AD69+8PADh27BjS0tLQsmVLAMDz58/h4eEBLy8vcb2GhoZwdXVFSEgIWrRo8dUaoqKioKmpiVGjRonde2rXro1nz57B19dXrq2ysjLWrVsndlOqWLEi2rZtiz179qBr166S33fhwoVhYmIC4FNXmIz/N27cGPv27cPgwYMhk8kQGRmJy5cvY86cOVmu5/3791i+fDk6dOgghgQAMDU1RZcuXeDv748uXbrIbcvc3Dzbutq1a4fNmzfjxIkTYkCLjo7GmTNnMGLECADAvXv3UKdOHcyZMwdKSp/OSdWtWxenTp3ClStX0KJFC5w7dw43btzA0qVL4ezsDACws7PD8+fPcfnyZZiammLTpk3o2rUrRo4cCQCoU6cOXr9+jatXr6Jv375Z1qetrY1ly5ZBWVkZAPDs2TMsWbIE0dHRKFasGObNmwcjIyOsXLlSbGNtbY0WLVqI+yIoKAhVq1YVx57Y2tpCU1MTRYoUEbdz/vx5mJubQ1dXN9t9lZ2aNWuiZ8+e4usFCxYgJiYG27dvh6GhIQCgQYMGaN68ORYtWoTFixfjyZMnMDAwwD///IOyZcuK++vGjRsICgoC8OlnV7hwYQDI1HXKzc1N3KaWlhY6dOgAKysrDB48GABQuXJlHDt2DP/++y+srKywd+9e3Lt3D35+frC2thZrcnd3x9y5c+Hv7y+u29TUFDNnzhRf//fffzhy5AiAT93MihcvLtc9b9euXdDQ0ICnpyfU1NQAADo6Orh58yYEQcj38U1E9GMwQBBRgZCSkoJ9+/bB2dkZiYmJSExMRKFChVCjRg34+fnB09MTWlpacHZ2xqFDh8QAcfDgQdjb20NfXx8AxLscxcbG4vHjx3j69CmuXLkCAEhOTv5mHfr6+ti0aRMEQUB4eDiePn2Kx48f499//820fPXq1eXGOFSpUgVly5bF1atXcxQgstOuXTscOHAAwcHBqFWrljhwuXHjxlm2v379OpKTk8UwlaFmzZowNDREUFAQunTpInn7lStXhoWFBfbv3y8GiIMHDwKA2GWsbdu2aNu2LZKSkhAWFoanT5/i7t27SEtLE7sBhYSEQFVVVa4LkpKSktg97dy5c0hNTUWTJk3ktj9u3Liv1mdpaSkGAwDizyIhIQEaGhq4ceMGPDw8IAgCUlNTAQBly5aFsbExLl68iC5duqB27dqYN28eOnfuDCcnJzRs2DDTz+7s2bM57r6UoUqVKnKvAwMDUaVKFejr64s1KSkpoUGDBti3b5+4zLZt25Ceno4nT57g6dOnePToER4/fiwu8zU2Njbi/zNCT0YwAIBixYoB+HTDgoyaSpQoAQsLC7n1Ozo6Yvbs2Xj//j2KFi0KIHNYMTAwQEJCQra11KpVCwsWLEDLli3RtGlTODg4oF69enBwcPjm+yCigosBgogKhDNnzuDt27fYtWtXlrcGPX/+PBwcHNCmTRvs27cP9+7dg56eHq5cuSJ2oQA+nYWeMGECAgMDoaqqiooVK6Jy5coApN+fft++fZg/fz4iIiKgo6ODKlWqQENDI1M7PT29TNN0dXURGxsr9W1/lZ2dHcqUKYM9e/aIAaJ58+ZQV1fPsn3GOIes6tLT0xO/MOaEm5sbZsyYgbdv30JXVxd79uxBo0aNxEHoiYmJmDp1Kvbu3YvU1FSUKVMGNjY2UFFREfd3TEwMdHR0xCsUX8oY1J3Tge2amppyrzPWn56ejtjYWKSnp2P16tVYvXp1pmUz9mHv3r1RqFAh+Pv7Y+7cuZgzZw4qVaqEcePGwc7ODqmpqbh06RI8PDxyVFuGLweZx8TE4OnTp3Jdjj6XkJAATU1NrF+/HitWrEBMTAz09PRQtWpVaGpqSvoZZlyZ+NyX++rLml6/fp1tTa9fvxYDRFb7/Gu/VzY2Nli1ahU2bNiA9evXY9WqVdDT00O/fv1yfOtkIio4GCCIqEDw9/dH2bJlMX36dLnpgiBgwIAB2LFjBxwcHGBvb48SJUrg8OHDKFGiBNTV1cUz1+np6fD09ISqqip27dqFKlWqQEVFBY8ePco0liA7wcHBGDVqFNzd3eHh4SFe2Zg9ezZCQkLk2mZ8Yf/c69ev5c4A54VMJoOLiws2b96MP//8E2FhYfjnn3+ybZ/xJe/NmzeZbs36+vVrsTtMTrRq1Qr//PMPDh8+DHt7e9y8eVPsCgMA06dPx9GjR7Fw4ULUqVNH/ML8+Z2zihQpgpiYmExdVu7cuQNBEKCtrQ3g0+D1z+t++fIlnj17hho1auS47kKFCkEmk6FHjx5ZdlvL+CKspKSELl26oEuXLnj79i3Onj2LFStWYODAgbh48SJu3LgBFRUVWFpa5riGrBQpUgS2trbw9vbOcr6amhr279+PWbNmYeTIkXB1dRWD1eDBg3Hz5s18qePLmipUqIC5c+dmOb9MmTJ5Wn/9+vVRv359JCQk4PLly9i0aROmTZsGa2trWFlZ5WndRKQYHERNRAr3+vVrnD9/Hi1atEDt2rXl/tnZ2aFZs2Y4e/YsXr16BWVlZbRq1QqnT5/GkSNH4OzsLH5pjY6ORlhYGNq1awdLS0vx+QXnzp0DALm7AmXn2rVrSE9Px8CBA8XwkJaWhkuXLmVaR0hIiNwZ4Rs3buDFixews7PL8T74vCvO51xdXREbG4t//vkHxsbGcl1RvmRtbQ01NTXxVrgZgoOD8fLlS1SvXj3HdWlra6Nx48Y4evQoDh8+jNKlS6Nu3bri/JCQENSuXVvu53Dr1i28e/dO3Fc1a9ZESkqK+HMAPgXDMWPGYOXKlbCysoKqqipOnz4tt+1169Zh2LBh2e6brylcuDDMzc3x+PFjWFpaiv8qVaqEJUuWiN3aOnXqhGnTpgH4dPXI1dUVXbp0QWxsLOLi4nD27FnUq1cv26snOWVra4uwsDAYGRnJ1bV3717s2rULysrKCAkJgba2Nnr37i2Gh48fPyIkJETu85efNUVEREBXV1euposXL2LNmjU52v9f1vTPP//Azc0NgiBAU1MTjo6O4kD3ly9f5kv9RPTj8QoEESncnj17kJqamu0A57Zt22Lnzp3w8/PDwIED0aZNG6xbtw5KSkpy3VN0dXVhaGiIrVu3wsDAANra2jh//jw2bdoEAF/tq50h44zolClT4Obmhvfv32Pr1q24d+8eACA+Pl7sIpJxxaNfv36Ijo7GvHnzYGpqKndLWakyBu2eOXMGRYsWFbtdlS5dGnXq1MGFCxfEgcvZ0dHRgaenJ5YuXQpVVVU4OjoiPDwcixYtgomJCVxcXHJcF/CpG1Pv3r0REREBV1dXuS+JVlZWOHz4MLZv3w5jY2Pcu3cPy5cvh0wmE/d3w4YNYWNjg9GjR2PIkCEoW7Ys9u7di9DQUEydOhXFixdHt27dsGHDBqipqcHW1hY3btzA9u3b4e3tnesvysOGDYOnpyeGDx+O1q1bIy0tDevWrcONGzfEQfa1atXCunXroKenBxsbG7x69Qrr16+Hra0tihcvjrNnz+brk5V79OiBvXv3okePHujVqxeKFSuGQ4cOwc/PD2PGjAHwaZ9u374ds2bNgqOjI6KiorB27Vq8efNGvMoEfAp3165dQ2Bg4FcHw3+Lq6srtmzZgp49e6Jfv34oVaoULl26hNWrV6Nr165QVVWVvC5tbW28efMGZ8+eRZUqVWBnZ4f169dj9OjRaN26NVJSUrBmzRro6OjkKmgTUcHAAEFEChcQEIBKlSrB1NQ0y/k1atRAmTJlsHPnTnh5eaFy5cowNTVFdHR0pofMLVu2DNOnT8fo0aOhpqYGExMTLF++HDNmzEBwcPA3+13Xrl0bEyZMwPr163HkyBHo6emhdu3a8PHxQf/+/RESEiIOAHV2dkbp0qUxcuRIpKamwtHREWPHjs12jMLXVKpUCS1btsTWrVtx/vx5uasIDRs2RGBgoDiQ+WsGDhwIPT09bNmyBb6+vtDR0UGzZs0wZMiQXD/0zd7eHgYGBggPD8/0HI7Ro0cjJSUFCxcuRHJyMsqUKYO//voLjx49wqlTp5CWlgZlZWWsXr0ac+fOxaJFi5CQkAAzMzOsW7dODGwjR46Erq4uduzYgTVr1qBMmTIYP348OnXqlKuaAaBevXpYu3YtfHx8MGjQIKiqqsLCwgLr168XBwMPHjwYampq8Pf3x9KlS1GkSBE4OTlh+PDhiIyMRGhoKOrVq5frGr6kr6+PHTt2YN68eZg0aRKSkpJQoUIFTJ8+XXyuhouLC8LDw+Hv749t27ZBX18fDg4O6Ny5M8aPH4/Q0FAYGxujS5cuuHXrFvr06YOZM2fm+unXWlpa2Lp1K+bNm4c5c+bgw4cPMDQ0xPDhw9GrV68crcvV1RVnz55F//79MWjQIHh6emLu3LlYt24dBgwYAJlMhho1amDTpk3Q0dHJVb1EpHgyQeqoQiIiUojevXtDXV0dS5cuVXQpREREvAJBRFRQLV26FGFhYbhw4QK2bdum6HKIiIgAMEAQERVYp06dwrNnz+Dt7Z2rAdBERETfA7swERERERGRZLyNKxERERERScYAQUREREREkjFAEBERERGRZAwQREREREQkGQMEERERERFJxgBBRERERESSMUAQEREREZFkDBBERERERCQZAwQREREREUn2f+Q0hfF95SemAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ + "# 6.\tEconomic Burden:\n", + "# What is the average treatment cost (USD) for the most common infectious diseases, \n", + "# and how does it compare to the per capita income in different countries?\n", + "\n", + "# Define a query to calculate the average treatment cost for common infectious diseases\n", + "query_treatment_cost = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(TreatmentCostUSD) AS AvgTreatmentCost,\n", + " Country,\n", + " AVG(PerCapitaIncome) AS AvgPerCapitaIncome\n", + "FROM HealthStatistics\n", + "WHERE DiseaseCategory = 'Infectious'\n", + "GROUP BY DiseaseName, Country\n", + "ORDER BY AvgTreatmentCost DESC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a DataFrame\n", + "df_treatment_cost = pd.read_sql(query_treatment_cost, connection)\n", + "\n", + "# Display the first few rows of the resulting DataFrame\n", + "df_treatment_cost.head()\n", + "\n", + "# Visualizing the comparison between treatment cost and per capita income\n", + "\n", + "\n", + "# Create a scatter plot to compare treatment costs and per capita income\n", + "plt.figure(figsize=(12, 8))\n", + "sns.scatterplot(\n", + " data=df_treatment_cost,\n", + " x=\"AvgPerCapitaIncome\",\n", + " y=\"AvgTreatmentCost\",\n", + " hue=\"DiseaseName\",\n", + " palette=\"Set2\",\n", + " s=100,\n", + " alpha=0.8\n", + ")\n", + "\n", + "plt.title(\"Comparison of Average Treatment Cost and Per Capita Income\", fontsize=16)\n", + "plt.xlabel(\"Average Per Capita Income (USD)\", fontsize=12)\n", + "plt.ylabel(\"Average Treatment Cost (USD)\", fontsize=12)\n", + "plt.legend(title=\"Disease Name\", bbox_to_anchor=(1.05, 1), loc='upper left')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Summary statistics of treatment cost vs. per capita income\n", + "df_treatment_cost.describe()\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# How does the availability of vaccines or treatments impact the mortality and recovery rates for specific infectious diseases?\n", + "\n", + "\n", "query = \"\"\"\n", "SELECT\n", " DiseaseName,\n", @@ -960,9 +615,6 @@ "print(df_summary)\n", "\n", "\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", "# Bar plot for Mortality and Recovery Rates by Vaccine Availability\n", "df_melted = df_summary.melt(id_vars=\"AvailabilityOfVaccinesTreatment\", \n", " value_vars=[\"AvgMortalityRate\", \"AvgRecoveryRate\"],\n", @@ -981,52 +633,13 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\547848016.py:12: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_dalys = pd.read_sql(query, connection)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName TotalDALYs\n", - "0 Asthma 12889410.0\n", - "1 Influenza 12885168.0\n", - "2 Leprosy 12881995.0\n", - "3 Ebola 12795525.0\n", - "4 Diabetes 12793286.0\n", - "5 COVID-19 12609290.0\n", - "6 HIV/AIDS 12599253.0\n", - "7 Cholera 12580108.0\n", - "8 Alzheimer's Disease 12543637.0\n", - "9 Zika 12521254.0\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ + "# Which diseases contribute the most to DALYs (Disability-Adjusted Life Years)?\n", + "\n", + "\n", "query = \"\"\"\n", "SELECT\n", " DiseaseName,\n", diff --git a/GlobalHealth.sql b/GlobalHealth.sql index e2513d5..66a58fb 100644 --- a/GlobalHealth.sql +++ b/GlobalHealth.sql @@ -1,29 +1,32 @@ -CREATE DATABASE GlobalHealth; - -USE GlobalHealth; - -CREATE TABLE HealthStatistics ( - id INT AUTO_INCREMENT PRIMARY KEY, - Country VARCHAR(255), - Year INT, - DiseaseName VARCHAR(255), - DiseaseCategory VARCHAR(255), - PrevalenceRate DECIMAL(5,2), - IncidenceRate DECIMAL(5,2), - MortalityRate DECIMAL(5,2), - AgeGroup VARCHAR(50), - Gender VARCHAR(50), - PopulationAffected BIGINT, - HealthcareAccess DECIMAL(5,2), - DoctorsPer1000 DECIMAL(5,2), - HospitalBedsPer1000 DECIMAL(5,2), - TreatmentType VARCHAR(255), - AverageTreatmentCost DECIMAL(10,2), - AvailabilityOfVaccinesTreatment VARCHAR(50), - RecoveryRate DECIMAL(5,2), - DALYs DECIMAL(10,2), - ImprovementIn5Years DECIMAL(5,2), - PerCapitaIncome DECIMAL(10,2), - EducationIndex DECIMAL(5,2), - UrbanizationRate DECIMAL(5,2) -); +CREATE DATABASE GlobalHealth; + +USE GlobalHealth; + +CREATE TABLE HealthStatistics ( + id INT AUTO_INCREMENT PRIMARY KEY, + Country VARCHAR(100), + Year SMALLINT, + DiseaseName VARCHAR(100), + DiseaseCategory VARCHAR(50), + PrevalenceRate DECIMAL(5,2), -- Assuming values are in percentages + IncidenceRate DECIMAL(5,2), + MortalityRate DECIMAL(5,2), + AgeGroup ENUM('0-18', '19-35', '36-60', '61+'), -- Predefined age groups + Gender ENUM('Male', 'Female', 'Both'), -- Use ENUM for predefined values + PopulationAffected BIGINT, + HealthcareAccess DECIMAL(5,2), + DoctorsPer1000 DECIMAL(5,2), + HospitalBedsPer1000 DECIMAL(5,2), + TreatmentType VARCHAR(100), + AverageTreatmentCost DECIMAL(10,2), + AvailabilityOfVaccinesTreatment ENUM('Yes', 'No'), -- Use ENUM for Yes/No + RecoveryRate DECIMAL(5,2), + DALYs DECIMAL(10,2), + ImprovementIn5Years DECIMAL(5,2), + PerCapitaIncome DECIMAL(10,2), + EducationIndex DECIMAL(5,2), + UrbanizationRate DECIMAL(5,2), + INDEX idx_country (Country), + INDEX idx_year (Year), + INDEX idx_diseasename (DiseaseName) +); diff --git a/below_average_countries.csv b/below_average_countries.csv new file mode 100644 index 0000000..28ea278 --- /dev/null +++ b/below_average_countries.csv @@ -0,0 +1,8 @@ +Country,AvgHealthcareAccess,AvgHospitalBeds +Australia,74.880671,5.228248 +Canada,74.899341,5.230515 +Turkey,74.908387,5.243976 +Saudi Arabia,74.933178,5.237754 +Mexico,74.938198,5.24138 +UK,74.966663,5.235328 +France,74.977308,5.238784 diff --git a/df_below_average.csv b/df_below_average.csv new file mode 100644 index 0000000..28ea278 --- /dev/null +++ b/df_below_average.csv @@ -0,0 +1,8 @@ +Country,AvgHealthcareAccess,AvgHospitalBeds +Australia,74.880671,5.228248 +Canada,74.899341,5.230515 +Turkey,74.908387,5.243976 +Saudi Arabia,74.933178,5.237754 +Mexico,74.938198,5.24138 +UK,74.966663,5.235328 +France,74.977308,5.238784 diff --git a/df_dalys.csv b/df_dalys.csv new file mode 100644 index 0000000..c0f44d3 --- /dev/null +++ b/df_dalys.csv @@ -0,0 +1,11 @@ +DiseaseName,TotalDALYs +COVID-19,126331645.0 +Asthma,125850738.0 +Leprosy,125449471.0 +Dengue,125391463.0 +HIV/AIDS,125366533.0 +Cholera,125358861.0 +Diabetes,125342789.0 +Cancer,125275792.0 +Zika,125185536.0 +Tuberculosis,125169183.0 diff --git a/df_stats.csv b/df_stats.csv new file mode 100644 index 0000000..e150bad --- /dev/null +++ b/df_stats.csv @@ -0,0 +1,19 @@ +Statistic,id,PrevalenceRate,IncidenceRate,MortalityRate,HealthcareAccess,DoctorsPer1000,HospitalBedsPer1000,AverageTreatmentCost,RecoveryRate,DALYs,ImprovementIn5Years,PerCapitaIncome,EducationIndex,UrbanizationRate +count,1000002,1000000,1000000,1000000,1000000,1000000,1000000,1000000,1000000,1000000,1000000,1000000,1000000,1000000 +mean,639814.5514428971,10.04799186,7.555005399999999,5.049918859999999,74.98783528000003,2.747929220000001,5.245930930000002,25010.313665,74.49693378999997,2499.144809,5.002592669999998,50311.099835,0.6500685900000001,54.98521234999998 +median,624279.5,10.04,7.55,5.05,75.0,2.75,5.24,24980.0,74.47,2499.0,5.0,50372.0,0.65,54.98 +std,377575.48207724805,5.740189345095461,4.298946733063095,2.8594265292775707,14.43634518876055,1.2990665722141224,2.7428651422333044,14402.279227091667,14.155168150475697,1443.9237975652613,2.88829833286479,28726.959358903787,0.14447222593853795,20.214042083888238 +variance,142563244665.86627,32.94977371754745,18.48094301371385,8.176320076336374,208.40806240904985,1.6875739590441499,7.523309188478525,207425646.93511614,200.3687853682416,2084915.933175286,8.342267259629526,825238194.0081098,0.02087222406763596,408.60749736920474 +range,1279629.0,19.9,14.9,9.9,50.0,4.5,9.5,49900.0,49.0,4999.0,10.0,99500.0,0.5,70.0 +min,1.0,0.1,0.1,0.1,50.0,0.5,0.5,100.0,50.0,1.0,0.0,500.0,0.4,20.0 +max,1279630.0,20.0,15.0,10.0,100.0,5.0,10.0,50000.0,99.0,5000.0,10.0,100000.0,0.9,90.0 +mode,1.0,15.87,5.28,6.54,59.01,2.47,7.22,11248.0,60.78,4815.0,6.75,50248.0,0.67,21.79 +iqr,655350.0,9.92,7.4399999999999995,4.95,25.019999999999996,2.25,4.75,24955.0,24.560000000000002,2505.0,5.01,49738.0,0.25,35.040000000000006 +quartiles,"(312139.25, 624279.5, 967489.75)","(5.09, 10.04, 15.01)","(3.84, 7.55, 11.28)","(2.58, 5.05, 7.53)","(62.47, 75.0, 87.49)","(1.62, 2.75, 3.87)","(2.87, 5.24, 7.62)","(12538.0, 24980.0, 37493.0)","(62.22, 74.47, 86.78)","(1245.0, 2499.0, 3750.0)","(2.5, 5.0, 7.51)","(25457.0, 50372.0, 75195.0)","(0.53, 0.65, 0.78)","(37.47, 54.98, 72.51)" +percentiles,"{'5th': 50001.05, '95th': 1229629.95}","{'5th': 1.1, '95th': 19.0}","{'5th': 0.85, '95th': 14.25}","{'5th': 0.59, '95th': 9.51}","{'5th': 52.48, '95th': 97.49}","{'5th': 0.72, '95th': 4.77}","{'5th': 0.97, '95th': 9.52}","{'5th': 2593.0, '95th': 47477.0}","{'5th': 52.45, '95th': 96.56}","{'5th': 250.0, '95th': 4751.0}","{'5th': 0.5, '95th': 9.5}","{'5th': 5485.0, '95th': 95058.04999999993}","{'5th': 0.42, '95th': 0.88}","{'5th': 23.5, '95th': 86.51}" +mad,485812.42324993236,7.353707003787787,5.515280252840839,3.6768535018938926,18.547353753505078,1.6605144847262743,3.5137672578582766,18498.427880294395,18.206355243248794,1856.2179775690136,3.706505546264005,36867.8693675788,0.19273828840572826,25.97519086821815 +skewness,3.3457654264639538e-06,0.0009313533440148325,-0.00018539910093983767,0.0008785305449585851,-0.00035951017096698027,0.002222458613419169,0.001392645463757447,0.0029354328571304933,0.0006390800229541793,0.0013297303199383001,-0.0006454772186198036,-0.0029480414920914286,-0.00047927828765492286,0.001612456368285618 +kurtosis,-1.2100153838519376,-1.1988575995969588,-1.1989126183829397,-1.2009074686388932,-1.200801802264089,-1.199245258572579,-1.1995238283452427,-1.2002315253253617,-1.2020149946458498,-1.2012648018372103,-1.2018938547468188,-1.1994280589916446,-1.198807468402087,-1.2003533374776125 +cv,0.5901326895828601,0.5712772686397718,0.5690196770823083,0.5662321729417987,0.19251582786536126,0.47274382569945594,0.5228557483568133,0.5758536026378007,0.19001007733254927,0.5777671595360769,0.5773602856346071,0.5709865109909456,0.22224151137426582,0.36762688039138297 +standard_error,377.57510450233235,0.005740189345095461,0.004298946733063094,0.0028594265292775705,0.01443634518876055,0.0012990665722141224,0.0027428651422333043,14.402279227091666,0.014155168150475697,1.4439237975652612,0.00288829833286479,28.726959358903787,0.00014447222593853796,0.020214042083888238 +confidence_interval,"(639074.5169409028, 640554.5859448913)","(10.036741282001856, 10.059242437998144)","(7.546579609033449, 7.563431190966549)","(5.044314480202827, 5.055523239797171)","(74.95954052911466, 75.01613003088539)","(2.745383093223196, 2.7504753467768057)","(5.24055500659994, 5.251306853400064)","(24982.085682253426, 25038.541647746577)","(74.46919013664996, 74.52467744334999)","(2496.3147669349655, 2501.9748510650343)","(4.9969317024391335, 5.008253637560862)","(50254.795961122916, 50367.403708877086)","(0.6497854292976661, 0.650351750702334)","(54.94559350758029, 55.024831192419676)" diff --git a/df_treatment_cost.csv b/df_treatment_cost.csv new file mode 100644 index 0000000..ca6d4d7 --- /dev/null +++ b/df_treatment_cost.csv @@ -0,0 +1,401 @@ +DiseaseName,AvgTreatmentCost,Country,AvgPerCapitaIncome +Influenza,27581.779221,Turkey,49859.112554 +COVID-19,27408.142202,Australia,55412.100917 +HIV/AIDS,27388.517094,Canada,49554.286325 +Rabies,27009.020161,France,52091.629032 +Malaria,26972.054545,Saudi Arabia,46834.5 +Alzheimer's Disease,26971.708155,Turkey,52026.317597 +Tuberculosis,26902.801724,Indonesia,50064.952586 +Leprosy,26833.43985,South Korea,49423.744361 +Alzheimer's Disease,26817.156398,UK,50072.829384 +Dengue,26787.738589,Germany,52695.360996 +Hypertension,26733.480583,UK,52071.106796 +Rabies,26682.0837,South Korea,54579.713656 +Diabetes,26652.038462,Germany,52542.371795 +Malaria,26644.843478,Italy,48925.726087 +Hepatitis,26627.619048,Brazil,51602.580087 +Dengue,26583.092511,Australia,50834.339207 +Measles,26582.256098,Turkey,51738.865854 +Influenza,26572.551724,Australia,49315.715517 +Zika,26553.915493,USA,52310.131455 +Zika,26543.95102,Russia,51415.122449 +Alzheimer's Disease,26540.306306,Australia,52665.572072 +Cancer,26501.653386,Germany,47558.310757 +COVID-19,26484.402439,China,52443.963415 +Measles,26484.165877,Mexico,53148.800948 +Leprosy,26453.07907,Australia,51312.530233 +Ebola,26435.316456,Turkey,47290.540084 +Hepatitis,26366.985437,South Africa,49981.417476 +Ebola,26365.857741,China,50605.276151 +Cancer,26347.495238,Australia,52276.442857 +Influenza,26339.555556,UK,50157.967078 +Cancer,26319.954751,USA,51145.108597 +Asthma,26318.072034,China,47329.970339 +Malaria,26309.693333,Argentina,51962.546667 +Hepatitis,26230.363636,Turkey,48567.785124 +Tuberculosis,26216.941704,Turkey,51033.757848 +Parkinson's Disease,26198.098655,Australia,53103.90583 +Leprosy,26189.764192,Turkey,52954.593886 +Measles,26184.487395,Canada,51014.478992 +Parkinson's Disease,26156.869565,Italy,51522.408696 +Cancer,26152.793103,Turkey,48290.650862 +Parkinson's Disease,26151.653659,Turkey,48791.917073 +Asthma,26111.414634,Argentina,51615.126016 +Alzheimer's Disease,26103.258929,South Africa,46591.535714 +Zika,26086.731915,Turkey,49998.86383 +Zika,26080.453659,Mexico,48504.263415 +Tuberculosis,26077.956332,Russia,50546.934498 +Influenza,26059.403226,Saudi Arabia,49597.725806 +Malaria,26053.307359,India,50389.831169 +Measles,26032.440191,South Africa,50708.84689 +Malaria,26017.383562,UK,49977.762557 +Zika,26010.68,China,48511.648889 +Zika,26001.631799,UK,48275.213389 +Ebola,25999.201923,Nigeria,48418.019231 +Cholera,25989.151261,UK,54025.777311 +Influenza,25979.292181,France,54383.514403 +Diabetes,25978.263393,Japan,49257.035714 +Parkinson's Disease,25978.213675,Mexico,52084.179487 +Malaria,25964.288,South Africa,51062.028 +Malaria,25959.823529,Nigeria,51389.911765 +Rabies,25958.326087,Germany,47841.873913 +Asthma,25949.421277,Turkey,57427.221277 +Alzheimer's Disease,25942.442308,Mexico,52349.177885 +Rabies,25934.757322,Argentina,48979.087866 +Zika,25920.157895,Brazil,49496.153509 +Tuberculosis,25903.910714,China,51555.566964 +COVID-19,25886.762115,Canada,51248.537445 +Cholera,25883.27619,Brazil,52356.819048 +Asthma,25873.607438,Italy,51020.27686 +Polio,25859.618026,Japan,51132.077253 +Hypertension,25855.198157,Russia,47526.534562 +Measles,25851.275701,China,50309.266355 +Alzheimer's Disease,25847.591111,South Korea,48860.546667 +COVID-19,25846.16309,Brazil,49670.06867 +Influenza,25844.547085,China,49305.452915 +HIV/AIDS,25840.413502,South Korea,50180.556962 +Tuberculosis,25810.580247,Saudi Arabia,53546.148148 +Ebola,25805.818182,France,48897.231818 +Tuberculosis,25800.60262,UK,49668.943231 +HIV/AIDS,25797.436,South Africa,52615.92 +Parkinson's Disease,25795.834197,Canada,50974.715026 +Rabies,25787.395745,UK,49082.702128 +Tuberculosis,25786.126761,Nigeria,52814.084507 +HIV/AIDS,25780.071429,China,52516.453782 +Measles,25769.028226,Saudi Arabia,48621.862903 +Ebola,25768.071111,USA,49232.782222 +Cholera,25766.157658,Indonesia,50765.846847 +Parkinson's Disease,25764.859091,Germany,50507.040909 +Diabetes,25754.533597,Mexico,48579.656126 +Asthma,25731.652174,South Africa,48011.719807 +Cholera,25728.781659,China,52732.951965 +HIV/AIDS,25715.552174,Saudi Arabia,51099.547826 +Alzheimer's Disease,25714.767857,India,46446.982143 +Hypertension,25698.530303,Argentina,49861.207071 +Diabetes,25696.563559,USA,47284.826271 +Dengue,25695.539823,USA,51003.292035 +COVID-19,25693.67094,Japan,46827.465812 +Leprosy,25692.135021,Brazil,48032.721519 +Polio,25690.310185,China,46226.328704 +Asthma,25688.166008,Saudi Arabia,51219.3083 +HIV/AIDS,25673.930131,Turkey,48394.650655 +Measles,25673.165,USA,50898.925 +Hepatitis,25672.858537,Canada,50903.082927 +Hypertension,25670.491379,South Africa,48610.362069 +Parkinson's Disease,25669.638767,South Africa,50598.167401 +Leprosy,25664.298643,Canada,51098.402715 +Alzheimer's Disease,25654.508333,Italy,52793.458333 +Zika,25646.479452,Argentina,48979.56621 +Measles,25636.357488,Nigeria,47908.193237 +Leprosy,25623.599206,Germany,49691.396825 +Leprosy,25612.104265,France,49756.052133 +COVID-19,25606.219917,Indonesia,49366.120332 +Ebola,25596.378505,Italy,50277.943925 +Polio,25595.168831,Australia,48573.294372 +Malaria,25593.175439,South Korea,47919.298246 +Cancer,25589.040816,France,50445.608163 +Hepatitis,25572.982301,India,51429.79646 +HIV/AIDS,25529.540773,Australia,51034.274678 +Ebola,25528.12766,Indonesia,47058.361702 +Influenza,25527.148472,Nigeria,48022.065502 +Rabies,25522.308696,Nigeria,50584.36087 +Dengue,25508.857143,Japan,51235.046218 +Ebola,25505.67623,Japan,49111.721311 +Diabetes,25499.615741,Turkey,53389.236111 +Hepatitis,25489.766497,Argentina,49367.020305 +Measles,25485.576419,Argentina,50692.960699 +Asthma,25483.57529,South Korea,52474.366795 +Rabies,25477.760181,USA,51820.285068 +Polio,25472.136364,Canada,48492.090909 +COVID-19,25464.76,Turkey,49413.852 +Polio,25463.013216,Turkey,48314.370044 +HIV/AIDS,25457.06639,Japan,50060.709544 +Dengue,25454.267943,Mexico,50419.722488 +COVID-19,25431.308824,Mexico,51689.651961 +COVID-19,25403.392405,Germany,54511.995781 +Tuberculosis,25401.271552,India,50679.288793 +Hepatitis,25400.352174,Italy,51229.495652 +Cancer,25385.028436,UK,50054.488152 +Measles,25383.20524,Italy,47893.362445 +Polio,25379.04186,India,49905.437209 +Malaria,25373.0,Japan,51567.275 +Malaria,25362.600917,Russia,47065.522936 +Influenza,25357.604545,Japan,49793.659091 +Alzheimer's Disease,25349.562753,Indonesia,47912.850202 +Hypertension,25338.257778,Japan,52387.737778 +Measles,25324.828054,Germany,48288.366516 +Measles,25324.329004,Australia,48264.424242 +Measles,25317.392857,France,52171.566964 +COVID-19,25302.98419,South Korea,50308.162055 +Malaria,25290.982143,Brazil,51350.267857 +Asthma,25281.556034,Indonesia,51349.737069 +Parkinson's Disease,25278.341991,Brazil,49690.900433 +Diabetes,25275.879464,Italy,48131.491071 +Hypertension,25275.648148,Nigeria,51936.259259 +Dengue,25275.4875,UK,48869.325 +Rabies,25268.5,Russia,51033.197368 +Cholera,25261.201031,France,50216.293814 +Cancer,25249.230453,India,52777.851852 +Rabies,25247.224215,Japan,49330.923767 +Hepatitis,25247.196262,Germany,52891.724299 +Alzheimer's Disease,25241.542056,Argentina,48477.205607 +Ebola,25238.018779,UK,50384.943662 +Influenza,25229.347458,Indonesia,50980.148305 +Polio,25228.088235,Mexico,51242.542017 +Influenza,25214.666667,South Africa,48416.759494 +Zika,25211.891304,Australia,48409.547826 +Dengue,25210.492958,Nigeria,46173.276995 +Diabetes,25208.995434,Brazil,50639.351598 +Tuberculosis,25206.414286,South Africa,49435.333333 +Cancer,25198.210744,China,50332.607438 +Ebola,25193.504808,Australia,50455.966346 +Dengue,25184.744681,Canada,48357.851064 +Malaria,25179.0375,Germany,51345.8125 +COVID-19,25170.694836,USA,53408.483568 +Hypertension,25150.712195,Australia,47399.726829 +Leprosy,25144.390041,Nigeria,48884.0 +Diabetes,25140.177033,France,48827.598086 +Hypertension,25132.959641,Mexico,47891.399103 +Asthma,25130.017699,Japan,52629.526549 +Alzheimer's Disease,25129.719626,France,49921.883178 +Influenza,25128.39196,Brazil,50573.562814 +Polio,25123.207469,Germany,51762.73444 +Measles,25119.831858,Indonesia,51541.022124 +Hypertension,25119.07563,Saudi Arabia,47566.331933 +Leprosy,25117.223176,Russia,52581.562232 +Cancer,25109.234146,Brazil,50689.507317 +Hepatitis,25093.746667,Mexico,48549.613333 +Tuberculosis,25086.937778,Mexico,48832.408889 +COVID-19,25083.133621,Russia,49695.280172 +Influenza,25074.34322,South Korea,48333.016949 +HIV/AIDS,25066.355102,Argentina,52011.795918 +COVID-19,25056.647887,Saudi Arabia,52258.934272 +HIV/AIDS,25047.676349,Mexico,49682.0 +Cholera,25046.619433,USA,49010.809717 +Zika,25041.678431,France,50106.254902 +Parkinson's Disease,25039.488584,Saudi Arabia,52454.785388 +Leprosy,25038.161017,Indonesia,50567.016949 +Tuberculosis,25034.115556,Italy,53148.675556 +Polio,25018.629032,Brazil,48818.725806 +Tuberculosis,25018.2,USA,51829.834783 +Ebola,25017.206278,Russia,49476.008969 +Dengue,25005.837104,South Africa,50621.312217 +Tuberculosis,24997.981567,South Korea,52675.382488 +HIV/AIDS,24997.236364,USA,49532.086364 +Leprosy,24991.593074,Italy,51405.831169 +Ebola,24985.13617,Saudi Arabia,51239.817021 +HIV/AIDS,24984.531818,Russia,50633.927273 +Polio,24979.43318,Nigeria,50057.225806 +Influenza,24975.687243,Mexico,45060.353909 +Cancer,24946.852535,Mexico,49121.589862 +Parkinson's Disease,24944.925581,France,50446.32093 +Dengue,24943.258197,France,51284.586066 +Ebola,24942.313364,Brazil,49244.018433 +HIV/AIDS,24939.077273,UK,58271.036364 +Polio,24934.438017,UK,52239.136364 +Diabetes,24926.978261,Saudi Arabia,51218.0 +Leprosy,24926.155102,Mexico,48690.053061 +Zika,24923.604444,Saudi Arabia,50350.671111 +Alzheimer's Disease,24919.173729,Japan,51930.639831 +Zika,24911.471698,Germany,49614.127358 +Cholera,24909.27686,South Korea,47388.516529 +Parkinson's Disease,24904.84252,Indonesia,50047.692913 +Parkinson's Disease,24902.31016,China,51747.192513 +Hepatitis,24900.206009,Russia,49603.635193 +Measles,24884.688525,Brazil,48808.946721 +Influenza,24884.066116,Argentina,48465.475207 +Tuberculosis,24878.227273,Germany,51953.013636 +Rabies,24861.491071,Saudi Arabia,50473.660714 +Cholera,24856.188073,Canada,49375.119266 +Cholera,24851.105023,Germany,53684.374429 +Tuberculosis,24845.104265,Canada,48328.260664 +Influenza,24842.211712,Canada,47940.932432 +Hepatitis,24841.09465,Saudi Arabia,48504.061728 +Leprosy,24840.321839,South Africa,50174.601533 +Influenza,24835.132159,Italy,48134.744493 +Rabies,24830.681818,Canada,52539.490909 +HIV/AIDS,24824.234234,Indonesia,47590.941441 +Asthma,24822.77533,Nigeria,49770.431718 +Hypertension,24821.138095,Germany,49945.52381 +Cholera,24811.03125,Mexico,48481.816964 +Polio,24803.536697,France,52516.229358 +Leprosy,24797.201754,China,46677.285088 +Ebola,24796.495868,Argentina,50485.371901 +Hepatitis,24793.866953,Australia,47292.579399 +Measles,24790.395652,South Korea,50063.3 +Influenza,24790.088983,Russia,47456.79661 +Rabies,24786.205479,Turkey,52867.940639 +Diabetes,24785.871795,India,49072.363248 +Tuberculosis,24785.027668,Japan,48825.924901 +HIV/AIDS,24756.048673,Nigeria,49429.70354 +Cancer,24744.316239,Russia,50491.5 +COVID-19,24730.820513,India,49666.568376 +Rabies,24725.119048,Italy,51125.352381 +Cancer,24722.291304,South Africa,47751.104348 +Parkinson's Disease,24719.371795,South Korea,49948.576923 +Hepatitis,24718.060185,Japan,50155.217593 +Tuberculosis,24714.705179,Australia,50135.74502 +Diabetes,24692.04717,Canada,51825.716981 +Diabetes,24690.238095,Russia,46819.896104 +Cancer,24689.481865,Saudi Arabia,56362.160622 +Cancer,24687.939815,South Korea,50653.574074 +Hepatitis,24687.824074,USA,47630.944444 +HIV/AIDS,24676.591304,France,48510.430435 +Asthma,24670.133028,USA,47627.068807 +Dengue,24663.357513,Italy,51577.948187 +Alzheimer's Disease,24655.490119,Canada,47009.952569 +Cancer,24653.482301,Nigeria,52568.893805 +Rabies,24637.762332,Indonesia,50302.215247 +Hepatitis,24633.743363,South Korea,49386.840708 +Alzheimer's Disease,24616.72766,Nigeria,46642.025532 +COVID-19,24613.239437,Nigeria,48615.7277 +Alzheimer's Disease,24612.540984,Russia,52116.237705 +COVID-19,24611.900452,France,49910.027149 +Rabies,24611.380342,India,50676.551282 +Malaria,24608.951327,Canada,51586.212389 +Measles,24607.073593,India,46595.779221 +Tuberculosis,24604.776699,France,51334.334951 +Malaria,24593.805085,Australia,47951.101695 +Diabetes,24592.387931,China,52575.581897 +Parkinson's Disease,24592.017778,UK,46844.471111 +Polio,24587.539749,South Africa,52403.987448 +Diabetes,24586.144144,Australia,52445.842342 +Rabies,24580.77665,Brazil,46055.279188 +Hypertension,24575.156951,Brazil,50169.103139 +Polio,24567.408696,Indonesia,48135.530435 +Leprosy,24565.965517,Japan,49754.323276 +Dengue,24564.435185,Saudi Arabia,50023.935185 +Zika,24523.622047,Indonesia,47978.228346 +Asthma,24510.723005,Russia,47762.408451 +Polio,24507.52521,Italy,48651.756303 +Cholera,24503.493671,South Africa,51437.721519 +Tuberculosis,24499.790909,Brazil,49521.859091 +Cholera,24494.451477,Saudi Arabia,52700.725738 +Parkinson's Disease,24490.014085,Japan,50236.370892 +Tuberculosis,24486.22381,Argentina,52510.866667 +Malaria,24477.235537,Indonesia,53782.921488 +Dengue,24472.050459,India,51232.16055 +HIV/AIDS,24468.559091,Italy,51396.277273 +Alzheimer's Disease,24449.929515,USA,48644.255507 +Cancer,24447.110599,Indonesia,49615.073733 +Cancer,24446.943231,Japan,49554.69869 +Parkinson's Disease,24444.847826,Nigeria,51117.904348 +Cancer,24441.366071,Argentina,51576.258929 +Ebola,24437.618257,Canada,46053.406639 +Zika,24437.099585,South Korea,54140.556017 +Cholera,24431.441964,Italy,47225.125 +COVID-19,24428.323887,Argentina,49176.11336 +HIV/AIDS,24410.173709,Brazil,49054.093897 +Zika,24408.512295,Canada,49301.901639 +Cholera,24407.0,Australia,49022.974093 +Diabetes,24406.094595,Nigeria,48279.211712 +Zika,24400.541485,Nigeria,48856.668122 +Asthma,24394.485981,Germany,51964.228972 +Ebola,24394.155172,Germany,49795.262931 +Cholera,24386.337449,Turkey,53705.279835 +Leprosy,24384.574661,UK,50443.900452 +Influenza,24383.282407,USA,54841.99537 +Hypertension,24362.23,Italy,51843.155 +Hypertension,24360.654867,Turkey,54039.265487 +Zika,24355.873832,South Africa,49463.892523 +Zika,24329.888889,Italy,50783.84058 +Malaria,24329.25523,Turkey,54863.025105 +Ebola,24295.260504,Mexico,50877.289916 +Alzheimer's Disease,24290.004464,Brazil,52921.227679 +Parkinson's Disease,24283.790909,Russia,49938.245455 +HIV/AIDS,24280.733945,India,49609.270642 +Zika,24278.738739,India,50185.369369 +Cholera,24251.226244,Russia,50125.642534 +Hepatitis,24240.225225,China,50576.225225 +Polio,24232.875536,South Korea,49219.811159 +Cholera,24232.088372,Argentina,51210.176744 +Hypertension,24210.044053,India,49960.643172 +Asthma,24189.824268,Brazil,50526.728033 +Rabies,24177.58371,China,49138.746606 +Hypertension,24169.092742,South Korea,49761.241935 +Hepatitis,24165.239437,Nigeria,50916.502347 +Diabetes,24148.19697,South Korea,47928.833333 +Diabetes,24144.156951,South Africa,49024.381166 +Influenza,24129.24424,India,51572.239631 +Cancer,24125.986159,Italy,48808.972318 +Malaria,24096.72973,France,47933.18018 +Leprosy,24090.172996,USA,51049.312236 +Hepatitis,24072.460581,UK,48528.116183 +Hypertension,24054.598214,USA,48528.191964 +Hepatitis,24046.586957,France,49141.695652 +Parkinson's Disease,24041.286996,USA,49331.210762 +Asthma,24029.393939,India,52751.681818 +Dengue,24017.932432,China,50581.333333 +Hypertension,23994.325123,China,51408.945813 +Measles,23985.190476,Russia,53800.028571 +Diabetes,23979.922764,Indonesia,49767.223577 +Asthma,23970.318898,France,51058.440945 +Zika,23959.502058,Japan,48823.049383 +Diabetes,23941.380711,Argentina,48596.472081 +Alzheimer's Disease,23933.14554,Germany,49786.549296 +Influenza,23900.415179,Germany,52080.754464 +Cholera,23878.120192,Japan,51402.456731 +HIV/AIDS,23874.418269,Germany,50411.870192 +Dengue,23852.651584,Argentina,49306.927602 +Rabies,23848.462222,Australia,51649.128889 +Hypertension,23837.607143,France,48273.455357 +Rabies,23822.289474,Mexico,51991.570175 +Leprosy,23818.236287,Argentina,52326.64557 +Malaria,23808.638889,Mexico,50775.888889 +COVID-19,23801.337838,UK,51229.279279 +Diabetes,23793.742991,UK,48313.28972 +Rabies,23754.148148,South Africa,48968.837963 +Alzheimer's Disease,23735.731481,China,52327.699074 +COVID-19,23735.307018,Italy,52931.951754 +Polio,23725.723849,Saudi Arabia,50130.711297 +Asthma,23718.487923,Canada,50981.826087 +Asthma,23703.026667,Australia,51202.64 +Dengue,23694.603846,South Korea,52151.988462 +Polio,23659.881188,Argentina,48893.425743 +Hypertension,23612.969957,Indonesia,53567.746781 +Leprosy,23611.645161,Saudi Arabia,50419.375 +Cholera,23609.146667,India,48431.493333 +Parkinson's Disease,23583.559091,India,53725.677273 +Ebola,23550.088462,South Africa,49691.273077 +Asthma,23528.552632,Mexico,52765.385965 +Measles,23518.147059,UK,48930.44958 +Ebola,23458.364583,India,51963.088542 +Asthma,23443.986047,UK,50705.893023 +Dengue,23399.93361,Turkey,51300.278008 +Polio,23354.490494,Russia,53524.825095 +Malaria,23290.555085,USA,52534.449153 +Parkinson's Disease,23284.978632,Argentina,50791.905983 +COVID-19,23282.783251,South Africa,51913.975369 +Alzheimer's Disease,23253.204545,Saudi Arabia,49257.781818 +Measles,23224.018349,Japan,52299.614679 +Hepatitis,23198.147959,Indonesia,50300.75 +Malaria,23098.759615,China,47067.480769 +Dengue,23098.192661,Russia,47256.353211 +Hypertension,23087.155556,Canada,52541.213333 +Cancer,23050.163347,Canada,50085.792829 +Dengue,23048.350427,Indonesia,50419.431624 +Polio,22680.1417,USA,48925.635628 +Cholera,22424.178138,Nigeria,51574.603239 +Dengue,22412.624434,Brazil,46928.886878 +Leprosy,22176.451923,India,51750.75 +Ebola,21592.782222,South Korea,51414.56 diff --git a/df_vaccine.csv b/df_vaccine.csv new file mode 100644 index 0000000..e459d25 --- /dev/null +++ b/df_vaccine.csv @@ -0,0 +1,41 @@ +DiseaseName,AvailabilityOfVaccinesTreatment,AvgMortalityRate,AvgRecoveryRate +HIV/AIDS,Yes,5.153536,74.472044 +Dengue,No,5.147725,74.31198 +Parkinson's Disease,No,5.124283,74.639644 +Cholera,No,5.11915,74.222884 +Zika,Yes,5.106914,74.696067 +Alzheimer's Disease,Yes,5.097699,74.630317 +Polio,No,5.097511,74.186335 +Leprosy,Yes,5.095215,74.346282 +Dengue,Yes,5.092818,74.208458 +Hepatitis,Yes,5.091236,74.699309 +Measles,Yes,5.081203,74.484079 +Polio,Yes,5.07748,74.562572 +Malaria,No,5.077058,74.356812 +Rabies,No,5.075653,74.850279 +Influenza,Yes,5.075463,74.137672 +Leprosy,No,5.072034,73.904097 +Rabies,Yes,5.062329,73.693312 +Tuberculosis,Yes,5.062259,74.853493 +Cancer,Yes,5.061085,74.526094 +Hepatitis,No,5.061074,74.920334 +COVID-19,Yes,5.058599,74.282641 +Ebola,No,5.056538,74.432855 +Cancer,No,5.05373,74.417513 +HIV/AIDS,No,5.046349,74.823576 +Diabetes,Yes,5.041585,74.23294 +Tuberculosis,No,5.03114,74.34721 +Parkinson's Disease,Yes,5.030904,74.290853 +Hypertension,No,5.022233,74.316698 +Asthma,No,5.021478,74.355929 +Measles,No,5.019039,74.402262 +Asthma,Yes,5.018749,74.63484 +Diabetes,No,5.007164,74.499428 +Hypertension,Yes,5.004938,74.797094 +Alzheimer's Disease,No,5.000185,73.724599 +Malaria,Yes,4.998472,74.820771 +Ebola,Yes,4.997767,74.818589 +Cholera,Yes,4.977021,74.878709 +COVID-19,No,4.976814,73.958895 +Zika,No,4.974291,74.169094 +Influenza,No,4.965753,74.645864 diff --git a/highest_disease_burden_countries.csv b/highest_disease_burden_countries.csv new file mode 100644 index 0000000..76b3579 --- /dev/null +++ b/highest_disease_burden_countries.csv @@ -0,0 +1,11 @@ +Country,TotalDiseaseBurden +Russia,125970949.0 +South Africa,125868947.0 +Mexico,125412035.0 +South Korea,125266003.0 +USA,125246167.0 +UK,125244689.0 +Germany,125204430.0 +France,125203904.0 +China,125112861.0 +Canada,125051388.0 diff --git a/highest_prevalence.csv b/highest_prevalence.csv new file mode 100644 index 0000000..bddd64f --- /dev/null +++ b/highest_prevalence.csv @@ -0,0 +1,21 @@ +DiseaseName,Avg_Prevalence,Total_Prevalence +Polio,10.353267015706807,9887.37 +Cholera,10.181133333333333,9163.02 +Malaria,10.179411098527746,8988.42 +Influenza,10.16258872651357,9735.76 +Diabetes,10.10429018789144,9679.91 +Dengue,10.081632432432432,9325.51 +Zika,10.076146993318485,9048.38 +Measles,10.069805825242717,9334.71 +COVID-19,10.032142857142857,9410.15 +Leprosy,9.997761529808773,8888.01 +Ebola,9.988064516129032,8979.27 +Tuberculosis,9.979312354312354,8562.25 +Cancer,9.97734602463606,8909.77 +HIV/AIDS,9.957654867256636,9001.72 +Hypertension,9.948290213723284,8844.03 +Asthma,9.9465625,9548.7 +Rabies,9.888684782608696,9097.59 +Alzheimer's Disease,9.860574112734865,9446.43 +Hepatitis,9.629608294930875,8358.5 +Parkinson's Disease,9.513120089786756,8476.19 From ba292f25d13364fcc892e4b58e014c218deb894a Mon Sep 17 00:00:00 2001 From: dbigman Date: Thu, 26 Dec 2024 11:19:52 -0400 Subject: [PATCH 10/10] final answers --- ...ess Challenge EDA and SQL presentation.pdf | Bin 0 -> 1407777 bytes Business Challenge EDA and SQL.ipynb | 1215 +++-------------- Business Challenge EDA and SQL_WHO.ipynb | 1191 ---------------- Business Challenge EDA and SQL_home.ipynb | 692 ---------- Business Challenge.pptx | Bin 0 -> 776635 bytes GlobalHealth.pdf | Bin 0 -> 1149570 bytes 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Question 1:\n", - "# Which infectious diseases have the highest prevalence rates globally, and how have these rates changed over the past 5 years?\n", "\n", "import pandas as pd\n", "import seaborn as sns\n", @@ -1172,32 +690,58 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\2700701903.py:43: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " return pd.read_sql(query, connection, params=params)\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "# Question 2:\n", - "# Which age groups and genders are most affected by high-prevalence infectious diseases? \n", - "# Are there significant disparities?\n", + "# 2. What countries have the worst access to healthcare?\n", + "\n", + "\n", + "from tabulate import tabulate\n", + "\n", + "# Query to calculate average healthcare access and hospital beds, and filter below average\n", + "query_below_average = \"\"\"\n", + "SELECT\n", + " Country,\n", + " AVG(HealthcareAccess) AS AvgHealthcareAccess,\n", + " AVG(HospitalBedsPer1000) AS AvgHospitalBeds\n", + "FROM HealthStatistics\n", + "GROUP BY Country\n", + "HAVING \n", + " AVG(HealthcareAccess) < (SELECT AVG(HealthcareAccess) FROM HealthStatistics)\n", + " AND AVG(HospitalBedsPer1000) < (SELECT AVG(HospitalBedsPer1000) FROM HealthStatistics)\n", + "ORDER BY AvgHealthcareAccess ASC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a DataFrame (assuming connection is established)\n", + "df_below_average = pd.read_sql(query_below_average, connection)\n", + "\n", + "# Display the result\n", + "print(\"Countries with Healthcare Access and Hospital Beds Below Average:\")\n", + "print(tabulate(df_below_average, headers='keys', tablefmt='grid'))\n", + "\n", + "# Plotting the results\n", + "plt.figure(figsize=(10, 6))\n", + "plt.barh(df_below_average['Country'], df_below_average['AvgHealthcareAccess'], color='salmon')\n", + "plt.xlabel('Average Healthcare Access (%)', fontsize=12)\n", + "plt.ylabel('Country', fontsize=12)\n", + "plt.title('Countries with Below Average Healthcare Access and Hospital Beds', fontsize=14)\n", + "plt.gca().invert_yaxis() # Invert y-axis for better readability\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Question 3:\n", + "# Which age groups and genders are most affected by high-prevalence infectious diseases? Are there significant disparities?\n", + "\n", + "\n", + "# I will try using a function for this calculation\n", "\n", "def get_high_prevalence_data(connection: pymysql.connections.Connection, diseasecategory: str) -> pd.DataFrame:\n", " \"\"\" \n", @@ -1267,71 +811,64 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 3.\tDemographic Patterns:\n", + "# Which age groups and genders are most affected by high-prevalence infectious diseases?\n", + "# Are there significant disparities?\n", + "\n", + "# Query to analyze the most affected age groups and genders for high-prevalence infectious diseases\n", + "query_age_gender_disparities = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AgeGroup,\n", + " Gender,\n", + " AVG(PrevalenceRate) AS AvgPrevalenceRate,\n", + " MAX(PrevalenceRate) AS MaxPrevalenceRate\n", + "FROM HealthStatistics\n", + "WHERE DiseaseCategory = 'Infectious'\n", + "GROUP BY DiseaseName, AgeGroup, Gender\n", + "ORDER BY AvgPrevalenceRate DESC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a DataFrame\n", + "df_age_gender = pd.read_sql(query_age_gender_disparities, connection)\n", + "\n", + "# Display the top results\n", + "df_age_gender.head()\n", + "\n", + "# Visualizing disparities by age group and gender\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(12, 8))\n", + "sns.barplot(\n", + " data=df_age_gender,\n", + " x=\"AvgPrevalenceRate\",\n", + " y=\"AgeGroup\",\n", + " hue=\"Gender\",\n", + " palette=\"Set2\"\n", + ")\n", + "\n", + "plt.title(\"Age Groups and Genders Most Affected by High-Prevalence Infectious Diseases\", fontsize=16)\n", + "plt.xlabel(\"Average Prevalence Rate (%)\", fontsize=12)\n", + "plt.ylabel(\"Age Group\", fontsize=12)\n", + "plt.legend(title=\"Gender\", loc='upper right')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\1639260823.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_question3 = pd.read_sql(query_3, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName AvgHealthcareAccess AvgDoctorsPer1000 \\\n", - "0 None NaN NaN \n", - "1 Alzheimer's Disease 74.941119 2.747002 \n", - "2 Asthma 75.000866 2.746590 \n", - "3 Cancer 75.012566 2.744735 \n", - "4 Cholera 74.963712 2.742675 \n", - "\n", - " AvgRecoveryRate \n", - "0 NaN \n", - "1 74.538244 \n", - "2 74.452923 \n", - "3 74.446244 \n", - "4 74.562658 \n", - " AvgHealthcareAccess AvgDoctorsPer1000 AvgRecoveryRate\n", - "AvgHealthcareAccess 1.000000 -0.254349 -0.419404\n", - "AvgDoctorsPer1000 -0.254349 1.000000 -0.192732\n", - "AvgRecoveryRate -0.419404 -0.192732 1.000000\n" - ] - }, - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "# Question 3: \n", + "# Question 4: \n", "# Is there a correlation between healthcare access, the number of doctors per 1000 people, \n", "# and the recovery rate for specific diseases?\n", "\n", @@ -1374,54 +911,12 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\574403037.py:17: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_question4 = pd.read_sql(query_4, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName AvgMortalityRate AvgPerCapitaIncome \\\n", - "0 Parkinson's Disease 5.069338 50150.041864 \n", - "1 Cancer 5.068933 50239.745789 \n", - "2 Rabies 5.063906 50376.520740 \n", - "3 Influenza 5.057569 50102.506160 \n", - "4 Zika 5.056438 50385.598772 \n", - "\n", - " AvgEducationIndex \n", - "0 0.649957 \n", - "1 0.650294 \n", - "2 0.649285 \n", - "3 0.650901 \n", - "4 0.649948 \n", - " AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", - "AvgMortalityRate 1.000000 -0.329285 -0.076750\n", - "AvgPerCapitaIncome -0.329285 1.000000 0.082558\n", - "AvgEducationIndex -0.076750 0.082558 1.000000\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "# Question 4: \n", - "# Which infectious diseases have the highest mortality rates, and how do socioeconomic factors \n", + "# Question 5: \n", + "# Which diseases have the highest mortality rates, and how do socioeconomic factors \n", "# (e.g., per capita income, education index) influence these rates?\n", "\n", "query_4 = \"\"\"\n", @@ -1456,118 +951,9 @@ }, { "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_10348\\1616853608.py:18: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_urbanization = pd.read_sql(query, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " AvgUrbanizationRate AvgIncidenceRate AvgPrevalenceRate\n", - "AvgUrbanizationRate 1.000000 -0.142770 0.274668\n", - "AvgIncidenceRate -0.142770 1.000000 -0.439319\n", - "AvgPrevalenceRate 0.274668 -0.439319 1.000000\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Question 5:\n", - "# Does the urbanization rate affect the incidence and prevalence rates of infectious diseases? \n", - "# Are urban areas more vulnerable to certain outbreaks?\n", - "\n", - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AVG(UrbanizationRate) AS AvgUrbanizationRate,\n", - " AVG(IncidenceRate) AS AvgIncidenceRate,\n", - " AVG(PrevalenceRate) AS AvgPrevalenceRate\n", - "FROM HealthStatistics\n", - "WHERE DiseaseCategory = 'Infectious'\n", - "GROUP BY DiseaseName\n", - "ORDER BY AvgUrbanizationRate DESC;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a pandas DataFrame\n", - "df_urbanization = pd.read_sql(query, connection)\n", - "\n", - "df_urbanization.describe()\n", - "# Calculate correlation\n", - "correlation_matrix = df_urbanization[[\n", - " 'AvgUrbanizationRate',\n", - " 'AvgIncidenceRate',\n", - " 'AvgPrevalenceRate'\n", - "]].corr()\n", - "\n", - "print(correlation_matrix)\n", - "\n", - "# Visualize correlation as a heatmap\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "plt.figure(figsize=(8, 6))\n", - "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\")\n", - "plt.title(\"Correlation Between Urbanization and Disease Metrics\")\n", - "plt.show()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 41, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\951363643.py:23: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_treatment_cost = pd.read_sql(query_treatment_cost, connection)\n" - ] - }, - { - "data": { - "image/png": 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CVKdOnUq8jqVLl5ZIahUvNxgMKjg4WOXm5rqtK359gJowYYLKz88vUb+sJNSNN95Y6mtQSqnc3Fy1YcMGt2UrV65UgLJYLOqbb75xW/f+++8rQBmNRrV79263dcVJKEC9/fbbbuu+/fZb18PH8ePHS8RRlqq+58XrnnjiCY/3dbb09HTXw97Z58SAAQMUoJ566im38qtXr3YlfEpTnIAdPny42/KHH37Ylew5fPiw27rPPvtM6fV6FRgY6HowVsr9obBBgwZq//79pe5z/fr16tChQyWW79u3TzVo0EAB6qeffnJbt23bNqXX65Ver3d7oFRKqUWLFrluyM89x3Jzc10JiUcffVQVFBS41uXk5LiSdDfeeGOpsXrCkySUXq9XX375ZYn1VY3v+PHjas2aNcrhcLgtz8nJcSVHb7311hL7K/4srFu3rtTXcvZ72LhxY7cH7NTUVBUfH68A1bp1a3XVVVe5JWkOHz6sAgMDFaA2btzott1Vq1YpTdNUSEhIic/1r7/+6nrf169fX+rxMxqN6quvvnJbN3/+fNcD77nXpeL3ZP78+aW+zvI89thjClCNGjWqdF2lqnadWrBggeuhs7Cw0K2Ow+FQ69evdzs3lPo7MVJVCxcuVNnZ2W7LnE6neuONNxSgWrZsqZxOp9v6sxMRjzzyiNuPNrt27XIlNzZv3uxW7/XXX1eACg8PV3v27HEtt9ls6pZbbnFLbniqoiRU8T4B1zXs3XffdX037ty50638hg0blK+vrzKZTCV+pCnejp+fn/rhhx88jlGpou+Y4vrn/kjgqfP9br7++uvd1h8/ftyVqPnXv/7lVq+0JFSxis65zMxM9eWXX5Y4VwsLC9VDDz2kAHXttdd68pJLvI6yklDF1/2zv2/sdruaOnWqAlT//v3d6jkcDnXllVe61p37HZ2Xl6eWL1/utmz06NGu78Ozr3lZWVnqmmuuUYDq0qVLmfHVhWupEEJc7iQJJeqcgQMHKkCNGTOmSvWLHyLnzJlTYp3T6VRt2rRRgHr22Wfd1hU/YN1///0l6m3bts11A/PGG2+UWP/5558rQPXq1ctt+dlJqC+++KJEvZMnTyovLy8FlPpLd1mKH4bPvTkrvkEMCgoqszVJWUmoa6+9VgFq27ZtHsXQp08fBah77rmn1PWDBg1SgPrHP/7htrz4wfuGG24otV7x+//hhx96FIdSVX/PzzcJVZz8at++vdvyRYsWuX6RPfvB0el0us6zcx8MlVKuX3e//vpr17K0tDRltVqVxWJRf/zxR6lxFLdc+Pe//+1advZNd2WO5dneeeedUj8TxQ8UY8eOLbXeiBEjSj3Hio/XoEGDSq2XlZWlwsLClMFgKPUhzxOeJKGmTp1aat2aiC8nJ0cZDAYVGhpaYl1lklDnftaVUmr27NkKilr47Nq1q8T622+/vdRf4jt27KiAUltsKPX3+XtuMrT4+JX1mW/WrJkCXK3Kip1PEurmm28uM1Hviapcp1544QUFqNmzZ3u8n/NNQpWnc+fOClC//fab2/Li49q+ffsSCSql/j525ybD4+LiFKDeeuutEnXy8vJcrb2qIwl14sQJ9eabbyofHx8FqCFDhiilipIPxS1yfvnll1K3Wfw+nNs6tXg/574uTyxcuNBVv7Qfac5XRd/NVqtVJSUllaj31VdfuRJrZ7eGOp8kVEXq1aundDqdyszM9LiOJ0moZcuWlaiXlJSkoOhHvrMTu1988YWColanWVlZFe7/6NGjSqfTKU3TSiQulSpqcWexWErcU9W1a6kQQlzuZHY8cUn5448/XGMzlTZ9u6Zp3Hjjjdx9992sW7eOhx9+uESZa6+9tsSysweuLm99WWMsBAQElDqYblhYGAMHDmTJkiWsX7+eLl26uK0/ceIEy5cvZ9++fWRkZGC32wH47bffANi/f3+p8fTt2xd/f/9SYynLVVddxYoVK7jlllt48skn6dGjBxaLpdSydrudTZs2AZQ55fq0adP4+uuvWbduXanrBw8eXOry5s2bs2rVqnLHTTpbdbznVfX+++8DMHXqVLfl119/PcHBwSQmJrJ27Vr69OnjimXy5Mk89dRTfPDBB3Tu3NlVZ8eOHezYsYPIyEgGDhzoWr5u3Try8vLo06cP9evXLzWOnj178uabb7J582ZmzJhRYv3w4cPLfR3Z2dmsXLmS7du3k5qaSmFhIYBr1slzx6QpHsto/PjxpW5v/PjxLF68uMTy5cuXAzB69OhS6/n4+HDllVeyYsUKtmzZQv/+/cuNu6pGjBhR6vLzjW/z5s18//33HDt2jNzcXNfYZiaTiZSUFM6cOUNgYGCl4zUYDKUei+LrTsOGDWnVqlWZ68++LqWmpvLzzz9jtVrL/AwWjz+zefPmUteX99ndt2+fx5/dmlbV61SHDh0AeOGFFwgODmbQoEEVjk1YHQ4ePMiqVas4ePAgWVlZOBwOAE6ePAkUfQ5btGhRot6gQYPcxggqVjxhx9nvx59//snBgwcBmDBhQok6FouFUaNGMWfOnCq/jrLG7erbt69rvLPt27dz4sQJGjdu7DZe1NkqOg/L+hxfCFX9bu7fvz8REREllg8aNIjg4GDS0tLYtm1biXuB87Fz506+/fZbEhMTycnJwel0AkWfD6fTycGDB0sdR60qDAaD2/dXsYiICAIDAzlz5gxpaWmuY7Bq1SoAxo0bh4+PT4Xb/+6773A6nSQkJNCmTZsS6+vXr8+AAQP48ssvWbduXYnjWNeupUIIcbmSJJSoc0JDQwE4depUpesW32wHBwfj5+dXapniWeHKelAqbRaas2+OSlvv6+sLQH5+fqnbLB7QtzTFN+x//PGH2/Inn3ySZ5991jUAbmkyMzPL3F9l3X///WzcuJE1a9YwcOBAjEYjbdu25eqrr2bMmDGuBzOAtLQ012st64GjKscZcL1vZR3Lc1XHe14VO3fuZOvWrVgsFsaNG+e2zmQyMX78eObMmcO8efNcSSgoGpz56aef5tNPP+XVV1/FarUCuAZ+nzRpEnq93lX+8OHDQNHgvWWdQ8VSUlJKLAsLCyt3eu+vvvqKG2+8kbS0tDLLnHueFZ+rZZ1nZS0vfi0TJ05k4sSJZe4PSn8t1aW64zt16hTDhw9n48aN5dbJzMysUhIqMjKy1Cnti69LZX2WSrsuJSYmopQiLy+v1BnBzlbWe1Bdn11PnM/3QVWvUz179uTBBx/kxRdfZPLkyWiaRnx8PF27duX6669n8ODB6HTVN6+Lw+FgxowZvPPOO+VOylDW9b4y70fxZzckJKTMh/6KBn+vyPDhw10TIFgsFqKioujTpw8dO3Z0lSn+rB06dKhK1zWo2vdc8fkERedUVFRUpbdxPt/N5R3bmJgY0tLSStwLVFVOTg4TJ05k6dKl5ZYrK9aqiIyMxGg0lrrOz8+PM2fOuJ2PR48eBaBZs2Yebb/4c1recSzv+76uXUuFEOJyJUkoUee0b9+e//znP2zbtg2Hw+H2QH4hVPRwUZ0PH2c7++FjyZIlzJw5Ex8fH15//XV69+5NvXr1sFqtaJrGww8/zKxZs8p8YClObFSGl5cXq1evZsuWLaxatYrNmzezefNmfvnlF2bPns2tt97KG2+8UeXXd66aOo4XSvHsdwaDgUGDBpVYX5zUWbJkCenp6QQEBABFDxq9evVi7dq1LF26lHHjxmGz2VwzABXPrles+FfruLg4unbtWm5Mpd3Il3cu/Pnnn4wePZq8vDweeOABxo8fT0xMDD4+Puh0Or755hsGDBhQ5nlW1sNjWcuLX8vAgQMJDw8v97VER0eXu/58lHVMqhrfTTfdxMaNG+ncuTNPPvkkbdu2JTAw0PUwVq9ePZKSkqo862N1XpOKX6OPj0+FLeSqY3/nq7iVTGJiImlpaQQHB1+Q/f7f//0fN998M1999RUbN25k06ZNzJ8/n/nz59OhQwfWrVuHt7d3tezrtdde4+233yYiIoLZs2fTpUsXwsPDXS1Rx40bxyeffFLm+VPXrqUvvfRShQmi4vMwIiKCAQMGlFs2JCSk1OVV+Z5r164dOp0Op9PJli1bKp2EOt/vZk+cT92zPfTQQyxdupRmzZrxf//3f3To0IGQkBBMJhMAXbp04Ycffqi2/UHdOxfPVdeupUIIcbmSJJSocwYNGsQ999xDeno6y5Ytq3AK5bMVd1dKS0sjMzOz1JYxxb/AltW1qSaUN2108boGDRq4li1atAiAZ599lunTp5eoc+DAgWqN72wdOnRwtXqy2+188cUXTJo0iTfffJMRI0bQq1cvgoODMZvNFBQUcPjw4VKbxV+o41wb73lBQQEfffQRUNSVrbjLT2ny8/P56KOPuO2221zLbrzxRtauXcv8+fMZN24cX331FampqXTp0oWmTZu61S9+SGratKmrK0t1+eqrr8jLy2PYsGE8//zzJdaXdZ7Vr1+fw4cPc+TIkVK7B5V1vkdFRbFv3z6mTZtWq11pylKV+HJyclixYgU6nY4VK1a4ko1nr09OTq6BaKum+HzSNI158+bV+YfGXr164evrS1ZWFh9++CF33323x3XP9zoVExPD7bffzu233w7Ali1bmDBhAlu2bOGFF17gySefrOKrcld8vX/nnXdK7bZdndf74teZmppKdnZ2qa2hyvu+qi7F52FwcHC1X9fKExgYSPfu3dmwYQMLFizghhtuqFT98/1uTkxMLHNdafcC56M41k8//bTUc78m7yM8VdzyaN++fR6VLz5/iz+3pblQ9x4X27VUCCHqErliijqncePGjB07FoB7772X06dPl1v+1KlTrjFrGjRo4GqKXdqNrVLKtbxXr17VF3QF0tPT+eqrr0osT0lJcY2JUDx2AOB6zaW1Bjl16hSrV6+umUDPYTAYGDFihOuX6h07driWd+vWDSj9OAPMmzcPqPnjXBvv+ZIlSzh9+jT16tXDbrejiiZ5KPH35ptvAn+3mio2fPhw/P39Wbt2LcePH3d1xTu3FRRAnz59MJlMrF+/vkpdkspT3nmmlHK1zjrX1VdfDVDm+rKWX3PNNcDfD0d1TVXiy8jIwOFw4OfnVyIBBfDf//63zJYGxS0SiseTuRDq1atHmzZtyMrKcl17atr5vE4/Pz/uuOMOAJ566qlyH+KhKCm8fft2oPqvUx06dODWW28F/r4WFitu9VaV11je5/C3334rsa/z0aBBAxo1agSU/jktKCjgs88+q7b9laW4Vc6ePXtc4yhdKI888ggAy5Ytq7CrmlLKrZvt+X43f/PNN6Vex1esWEFaWhq+vr5ljpF1rorOufJi/d///kdqaqpH+6lJxeNHffLJJ+Tk5FRY/uqrr0an07Fjxw527txZYn1SUpLrulbT9x61cS0VQohLhSShRJ3073//m7i4OBITE+nWrVupY60UFhYyb9482rVrx969e13L77vvPgCefvppt5sUpRTPPPMMO3bsICAggH/84x81/0LOcu+997qN9VBQUMBtt91GTk4OV111lVtXq+IBZd99913XINFQ9MA7efJkMjIyqj2+N998s8QA1ADJycn88ssvgPvN7L333gvAW2+9xbfffutW54MPPmDZsmUYjUbuvPPOao/1XBf6PS9OKk2YMKHc7qJjxozBZDKxfft2twdJq9XKmDFjcDqdPP/886xatQovL69SB8QODw/n9ttvJycnh8GDB7Nr164SZQoKCli2bJnHvyYXKz7PFi9e7BqEHIrGqHn88cfLHEx1xowZ6HQ6Fi5cyJdffum2bsmSJXz++eel1ps+fTrR0dF89tlnPPjgg2RlZZUok5yczHvvvVep11FdqhJfeHg4gYGBpKen85///Met7I8//shDDz1U5v6KWzxc6IfwZ555BihKepaWHFdK8dNPP/HNN99Uy/7O93U+/vjjdOnShfT0dLp161ZqzA6Hg6VLl9K+fXvXwPlQtevU0qVLXQMgn81ms7keNs99sD+f11j8OXzjjTfc9pmUlMSkSZOqPUl51113ATBz5ky3a4bD4eC+++4rc4KN6mQ0GnniiSdQSjFs2LBSv+MdDgdr167lxx9/rNZ99+vXz3VejBkzhtmzZ1NQUFCi3NatWxkwYAAvvfSSa9n5fjfn5eVxyy23kJeX51p24sQJVzw333xzmROCnKuic6441n//+99uy/fv38/NN9/s0T5q2pAhQ2jXrh0nTpxg5MiRJcYmzM/PZ+XKla5/N2zYkJEjR6KU4p///Kdb+ZycHKZPn05+fj5dunSp1sHdy3Khr6VCCHHJuCBz8AlRBSdPnlQ9e/Z0TasbGxurrr/+ejV27FjVu3dv15TPfn5+6qeffnLVczqdauLEiQpQBoNB9enTR40dO1Y1bdrUNUXyihUrSuyvePrxs6eXPhvlTIdcPP3vuVPSF0+v3LlzZ9WxY0fl5eWlBg0apEaNGuWanjosLEzt27fPrd7hw4dVQECAAlT9+vXV8OHD1ZAhQ5S/v7+KjIxUU6dOVYB64okn3OoVT5987nJPYm3btq3rOA8ePFiNHz9e9e/fX1mtVgWo3r17K5vN5lbn0UcfdU1r3K1bNzVu3DiVkJCgAKXX69XcuXNL7L+iaek9eQ3nqup7XpV9HT58WGmaVuqU6aW54YYbFKBmzJjhtvzHH390nVOAmjRpUpnbsNlsaty4cQpQOp1OtWvXTg0fPlyNHj1ade3aVXl7eytArVy50lWnrPf53O22b99eAcrHx0ddd911atSoUSo6OloZjUb14IMPljk9+HPPPeeKvVOnTmrcuHHqqquuck2pDqj4+PgS9Xbv3q1iYmIUoAICAtTVV1+txo0bp4YOHapatGihNE1T4eHhFR7XshRPW1/a9PIVfcarGt8rr7ziOhYdO3ZUY8eOVV27dlWapqmJEyeWud+vv/5aAcpkMqlBgwapqVOnqmnTprmmFq/oPSxv+nallJo/f36Zx+K1115TBoNBASouLk5dd911aty4capfv34qLCxMAerBBx+s1PErPvbz5893W75z506l0+mUTqdTffv2VTfeeKOaNm2a+vLLL0vdTmmysrLUqFGjXMc5MjJSDRo0SI0bN04NGDBABQUFuaaA/+KLL9zqVvY6deeddypAhYSEqH79+qnx48erIUOGuI5L/fr11fHjx93q3Hfffa46o0aNUtOmTVPTpk1TqampFb62H3/8UZlMJtd7MWrUKDVw4EBltVpVy5Yt1bBhw0o9rmUd72Jlvf8Oh0MNHjzYde4NGDBAjRkzRsXGxiqLxaJuueWWMs+bshSfqxV9vs51//33u+q1bNlSXX/99WrMmDGqZ8+eru/At956y61Oed/FlfHss88qo9GoAOXr66v69u2rxo0bp4YMGeK6Bpz7OTjf7+ZJkyapoKAgFRERoUaOHKkGDx7sun537txZ5ebmutUr7zNe0Tn3+eefu76rWrdurcaMGaN69+6tjEaj6t27t+rSpUu538WlKX4d58bjyfdNWdePI0eOuL6rvby8VP/+/dXYsWPV1Vdfrfz9/UtsMzU11XW/4u/vr4YOHapGjBihQkNDXfcw5+6jrl1LhRDicidJKFHnrVy5Uk2aNEnFxcUpHx8fZTQaVUREhOrXr5969dVXVVpaWqn1Pv74Y9eNrNFoVFFRUWrKlCklEj7FajIJ1aNHD5Wdna3uv/9+FRsbq0wmkwoPD1dTpkxRx44dK3Ob48ePVw0bNlRms1lFR0erm2++WSUnJ5eZPDmfJNTXX3+tbrnlFtWuXTsVGhqqTCaTatCggerZs6dasGCBKiwsLHV7K1euVNdee60KDg5WBoPBdXN9dmLwbDWRhCpW2fe8Kvt67LHHFKCuvPJKj8p/8cUXClCBgYEqLy/PbV3Lli1d55UnDwIrVqxQN9xwg6pfv74yGo0qICBANW/eXI0ZM0Z9/PHHKicnx1XWk4cCpYoe7h9++GHVtGlTZbFYVFhYmBo6dKj65ZdfKrwxX7JkiSsJ5uvrq7p166a++OIL9d1337keqkqTmZmpXnjhBdW5c2fXexUZGak6dOig7r//frV58+YKj0VZzjcJVdX4vvjiC9WlSxcVEBCgfHx81JVXXqnefPNN5XQ6y93ve++9pxISEpSXl5frXChOKtTkg5NSSu3atUtNnz5dxcfHK4vFory8vFSjRo3UgAED1Jw5c9Sff/7pVr6qSSillFq6dKnq2rWr8vX1dT0YV+Uz/sMPP6jp06er5s2bKz8/P2UwGFRISIi6+uqr1bPPPqv++OOPUutV5jq1fft29a9//Ut169ZN1a9fX5lMJhUaGqrat2+vnnvuuVITS3l5eeqBBx5QcXFxroRSZRIyv/76qxoyZIiKjIxUFotFxcfHqwceeEBlZmaWeVyrmoRSqigB/fLLL6sWLVoos9msgoOD1fXXX6927NhR4XlTmqomoZRSatOmTWr8+PEqOjpamc1m5evrq5o0aaKGDh2q3n//fXX69Gm38tWVhFKqKAHy0EMPqQ4dOrjODX9/f9WuXTt15513qm3btpWoc77fzYcPH1Zjx45V4eHhymQyqbi4OPX444+7Xb+LlfcZ9+Sc++6771SfPn1USEiI8vLyUq1atVLPPvusKigoqPC7uDQ1kYRSquh76Pnnn1cdOnRQvr6+ruM6ZMgQtXDhwhLlc3Jy1KxZs9QVV1yhvLy8lMViUc2bN1cPP/xwifPFk/gu9LVUCCEud5pS1TgthhDCzfr16+nVqxc9evRg/fr1tR2OEBfEU089xRNPPMHtt9/OnDlzajscIYSoVTNnzuTJJ5/kiSeeYObMmbUdjhBCCFGrZEwoIYQQlXbgwAHOnDlTYvmyZcuYNWsWmqYxefLkWohMCCGEEEIIUVcZajsAIYQQF5+PPvqI5557jnbt2hEVFYXNZmP//v2uwe1nzpzp8SxPQgghhBBCiMuDJKGEEEJU2sCBAzlw4AA//vgje/fuJT8/n+DgYAYPHsytt97qmnpbCCGEEEIIIYrJmFBCCCGEEEIIIYQQosbJmFBCCCGEEEIIIYQQosZJEkoIIYQQQgghhBBC1DgZE6qGOJ1OTpw4ga+vL5qm1XY4QgghhBBCCFHnKaXIysqiXr166HTSZkKIS40koWrIiRMniIqKqu0whBBCCCGEEOKic/z4cRo0aFDbYQghqpkkoWqIr68vUHTx9PPzq+VohBBCCCGEEKLuy8zMJCoqyvU8JYS4tEgSqoYUd8Hz8/OTJJQQQgghhBBCVIIMaSLEpUk62QohhBBCCCGEEEKIGidJKCGEEEIIIYQQQghR4yQJJYQQQgghhBBCCCFqnIwJJYQQQgghhBBC1ACHw4HNZqvtMISoUUajEb1e71FZSUIJIYQQQgghhBDVSClFcnIy6enptR2KEBdEQEAAERERFU4qIEkoIYQQQgghhBCiGhUnoMLCwvDy8pLZ/sQlSylFbm4up06dAiAyMrLc8pKEEkIIIYQQQgghqonD4XAloIKDg2s7HCFqnNVqBeDUqVOEhYWV2zVPBiYXQgghhBBCCCGqSfEYUF5eXrUciRAXTvH5XtEYaJKEEkIIIYQQQgghqpl0wROXE0/Pd0lCCSGEEEIIIYQQQogaJ0koIYQQQgghhBBCVIqmaXzxxRe1HYa4yEgSSgghhBBCCCGEEEyZMgVN09A0DaPRSHh4OP369WPevHk4nU63sklJSVxzzTW1FOn569mzJ5qmsXDhQrflr776KjExMbUT1GVAklBCCCGEEEIIIYQAYODAgSQlJXHkyBFWrlxJr169uPPOOxk0aBB2u91VLiIiArPZXIuRnj+LxcKjjz5a4WDaovpIEkoIIYQQQgghhBAAmM1mIiIiqF+/PgkJCTz88MN8+eWXrFy5kg8++MBV7uzueIWFhcyYMYPIyEgsFgvR0dHMmjXLVTY9PZ2bbrqJ0NBQ/Pz86N27Nzt37nStP3ToENdffz3h4eH4+PjQoUMH1qxZ4xbXm2++SXx8PBaLhfDwcEaMGOFa53Q6mTVrFrGxsVitVtq2bcvixYsrfK1jx44lPT2d9957r8wynsQWExPDM888w6RJk/Dx8SE6Opply5aRkpLC9ddfj4+PD23atOGXX35xq7dx40a6d++O1WolKiqKO+64g5ycnArjvphJEkoIIYQQQgghhBBl6t27N23btmXJkiWlrp8zZw7Lli1j0aJF7N+/n48++sitS9vIkSM5deoUK1euZOvWrSQkJNCnTx9Onz4NQHZ2Ntdeey3ffvst27dvZ+DAgQwePJhjx44B8Msvv3DHHXfw1FNPsX//flatWsXVV1/t2v6sWbP48MMPefvtt/ntt9+4++67mTBhAhs2bCj3dfn5+fHII4/w1FNPlZn8qSi2Yq+88gpdu3Zl+/btXHfddUycOJFJkyYxYcIEtm3bRuPGjZk0aRJKKaAouTVw4ECGDx/Or7/+yqeffsrGjRuZMWNG+W/GxU6JGpGRkaEAlZGRUduhCCGEEEIIIcRF4VJ4jsrLy1N79uxReXl5tR1KpU2ePFldf/31pa4bPXq0at68uevfgFq6dKlSSqnbb79d9e7dWzmdzhL1vv/+e+Xn56fy8/Pdljdu3Fi98847ZcbSsmVL9e9//1sppdTnn3+u/Pz8VGZmZoly+fn5ysvLS23evNlt+bRp09TYsWPL3H6PHj3UnXfeqfLz81V0dLR66qmnlFJKvfLKKyo6OrrMeufGppRS0dHRasKECa5/JyUlKUA99thjrmU//PCDAlRSUpIrvunTp7tt9/vvv1c6ne6iPHc8Pe+lJZQQQgghhBBCCCHKpZRC07RS102ZMoUdO3bQtGlT7rjjDr755hvXup07d5KdnU1wcDA+Pj6uv8TERA4dOgQUtTa67777aN68OQEBAfj4+LB3715Xa6N+/foRHR1No0aNmDhxIh999BG5ubkAHDx4kNzcXPr16+e2/Q8//NC1/fKYzWaeeuopXnrpJVJTU0usryi2Ym3atHH9f3h4OACtW7cusezUqVOu4/LBBx+4xTxgwACcTieJiYkVxn2xMtR2AEIIIYQQQgghhKjb9u7dS2xsbKnrEhISSExMZOXKlaxZs4ZRo0bRt29fFi9eTHZ2NpGRkaxfv75EvYCAAADuu+8+Vq9ezUsvvURcXBxWq5URI0ZQWFgIgK+vL9u2bWP9+vV88803PP7448ycOZMtW7aQnZ0NwPLly6lfv77b9j0dOH3ChAm89NJLPPPMMyVmxqsotmJGo9H1/8XJutKWFc8ymJ2dzT//+U/uuOOOEvE0bNjQo7gvRpKEEkIIIYQQQgghRJnWrl3Lrl27uPvuu8ss4+fnx+jRoxk9ejQjRoxg4MCBnD59moSEBJKTkzEYDCUSPMU2bdrElClTGDZsGFCUoDly5IhbGYPBQN++fenbty9PPPEEAQEBrF27ln79+mE2mzl27Bg9evSo0uvT6XTMmjWLG264gVtuuaXSsVVFQkICe/bsIS4u7ry3dTGRJJQQQgghhBBCCCEAKCgoIDk5GYfDwcmTJ1m1ahWzZs1i0KBBTJo0qdQ6s2fPJjIyknbt2qHT6fjss8+IiIggICCAvn370rlzZ4YOHcoLL7xAkyZNOHHiBMuXL2fYsGFceeWVxMfHs2TJEgYPHoymaTz22GOuFkMAX3/9NYcPH+bqq68mMDCQFStW4HQ6adq0Kb6+vtx3333cfffdOJ1OunXrRkZGBps2bcLPz4/Jkyd79Lqvu+46OnbsyDvvvOPqOgdUGFtVPfjgg3Tq1IkZM2Zw00034e3tzZ49e1i9ejWvv/76eW+/rpIklBBCCCGEEEIIIQBYtWoVkZGRGAwGAgMDadu2LXPmzGHy5MnodKUPK+3r68sLL7zAgQMH0Ov1dOjQgRUrVrjKr1ixgkceeYQbb7yRlJQUIiIiuPrqq13JntmzZzN16lS6dOlCSEgIDz74IJmZma7tBwQEsGTJEmbOnEl+fj7x8fF88skntGzZEoCnn36a0NBQZs2axeHDhwkICCAhIYGHH364Uq/9+eefp0uXLm7LKoqtqtq0acOGDRt45JFH6N69O0opGjduzOjRo89723WZptRf8wOKapWZmYm/vz8ZGRn4+fnVdjhCCCGEEEIIUeddCs9R+fn5JCYmEhsbi8Viqe1whLggPD3vpSWUEEKI81bgsJHvsJOcm0mBw47VYCTc6odFb8Ckl68aIYQQQgghhCShhBBCnAeH08npglx+PpXIvoxT5DtsrnU+BjPNA8PpEBqDv8mKrowpfYUQQgghhBCXB0lCCSGEqBKncpKcl8mSxB1k2vJLrM+2F7Al5RiJWWkMj2lHsMXbNTWtEEIIIYQQ4vJT+qhiQgghRAWybYV8eeTXUhNQZ0vNz+HrY7vJsRdeoMiEEEIIIYQQdZEkoYQQQlSaUzk5lJnCmcJcj8r/mZvOybzzn0VECCGEEEIIcfGSJJQQQohKy7Pb2Hn6z0rV2Z76B3nSGkoIIYQQQojLliShhBBCVJoCTufnVKpOWkEODuWsmYCEEEIIIYQQdZ4koYQQQlSBQlW2hqpsDSGEEEIIIcSlRGbHE0IIUQUa/iYL+Xk2j2v4m6xoyOx4QgghhBCeKnDYsTkdrn8bdXrMenmMFxcvaQklhBCi0qx6Iy0CIytVp01QPbwMphqKSAghhBDi0pFnt3EyN5N1J/bznwM/M3ffZv5z4GfWndjPydxM8uye/xBYk5KTk+nXrx/e3t4EBAQAoGkaX3zxRa3GJeouSaEKIYSoNL1OR4uACH46lUiuBzdBQWYvGvoGoWnSEkoIIYQQojw5tgJ+OJnIlpSjOM8eAMFewOmCHLan/kGH0Gg6h8fibTRX676nTJlCenq6x0mkV155haSkJHbs2IG/v3+1xiIuTdISSgghRJV4G80Matgak05ffjmDiUENW+Oll1ZQQgghhBDlybPb+OFkIj+lHHFPQJ3FieKnlCP8cDKx1ltEHTp0iPbt2xMfH09YWFitxiIuDpKEEkIIUSVGnZ4YnyBGNkog2ieoxHhPek0jzi+UUY3bE+nlh14nXzlCCCGEEOXJKMxjS8pRj8puSTlKpi2vxmLp2bMnd9xxBw888ABBQUFEREQwc+ZM1/qYmBg+//xzPvzwQzRNY8qUKSW2sX79ejRNIz093bVsx44daJrGkSNHXMs2btxI9+7dsVqtREVFcccdd5CT8/dMzDExMTz33HNMnToVX19fGjZsyLvvvutaP3PmTDRNK/H3wQcfALBq1Sq6detGQEAAwcHBDBo0iEOHDlXXoRKVIE8EQgghqsyoNxDtE8SwmLbc2LQTV0fEcVVoDL0imzCtaRcGN2xNPS9/DBW0lhJCCCGEuNwVOOzsSD1eZguoczlRbE/9gwKHvcZiWrBgAd7e3vz000+88MILPPXUU6xevRqALVu2MHDgQEaNGkVSUhKvvfZalfZx6NAhBg4cyPDhw/n111/59NNP2bhxIzNmzHAr9/LLL3PllVeyfft2br31Vm655Rb2798PwH333UdSUpLr76WXXsLLy4srr7wSgJycHO655x5++eUXvv32W3Q6HcOGDcPpdJ7H0RFVIWNCCSGEOC+apuFtNONtNBPp5Y9TKXQy9pMQQgghRKXYnA4Ss09Xqs6RrDRsTkeNzZjXpk0bnnjiCQDi4+N5/fXX+fbbb+nXrx+hoaGYzWasVisRERFV3sesWbMYP348d911l2s/c+bMoUePHrz11ltYLBYArr32Wm699VYAHnzwQV555RXWrVtH06ZN8fHxwcfHB4Aff/yRRx99lAULFtCqVSsAhg8f7rbPefPmERoayp49e1xlxIUhLaGEEEJUK0lACSGEEEJUTWElWzUVOmuuFRQUJaHOFhkZyalTp6p1Hzt37uSDDz5wJZJ8fHwYMGAATqeTxMTEUmPRNI2IiIgSsRw7doyhQ4dy3333MWrUKNfyAwcOMHbsWBo1aoSfnx8xMTGu8uLCkpZQQgghhBBCCCFEHWDSG8Be4Hl5Xc0+0huNRrd/a5pWqS5sur/GBFXq7y6GNpv7YOrZ2dn885//5I477ihRv2HDhh7HkpOTw5AhQ+jcuTNPPfWUW9nBgwcTHR3Ne++9R7169XA6nbRq1YrCwkKPX4uoHpKEEkIIIYQQQgghaplRpyfWN4jTBTkVF/5LjG8wxjo89mZoaCgASUlJBAYGAkUDk58tISGBPXv2EBcXV+X9KKWYMGECTqeT//znP2hntcxPS0tj//79vPfee3Tv3h0oGghd1A7pjieEEEIIIUQ1U/m5qLzsv/9qcOBgIcSlwaw3cEVwFDo8G9pAh0a7kAY1Nh5UdYiLiyMqKoqZM2dy4MABli9fzssvv+xW5sEHH2Tz5s3MmDGDHTt2cODAAb788ssSA5OXZ+bMmaxZs4Z33nmH7OxskpOTSU5OJi8vj8DAQIKDg3n33Xc5ePAga9eu5Z577qnulyo8JEkoIYQQQgghqonKy0b98TvOH5fhXPU+zhXv4lz3EWrPD6isMyibdP0QQpTN32SlQ2i0R2U7hEbjZ7TWcETnx2g08sknn7Bv3z7atGnD888/zzPPPONWpk2bNmzYsIHff/+d7t27065dOx5//HHq1avn8X42bNhAdnY2Xbp0ITIy0vX36aefotPpWLhwIVu3bqVVq1bcfffdvPjii9X9UoWHNHV250xRbTIzM/H39ycjIwM/P7/aDkcIIcrkcDopLHS4/m0w6DEa5DcKIYSoLJV5GudPy+BUGQPdGs1oHa5Fqx+PZrJc2OCEuEhcCs9R+fn5JCYmEhsb65rZrTJybAX8cDKRLSlHcVLycV2HRofQaDqHx+JtNFdHyEKcN0/P+7rbbk8IIUSNstkdFBQ6OHIikz+Tsyi0O9DrdIQFedG4YQBeFgNmk3xNCCGEJ1RuJs5NS+D0ibIL2QpQPy6DLsOgQRO0OtyFRghRe7yNZrpGNKZ1cD22p/7Bkaw0Cp12TDoDMb7BtAtpgJ/RitVgrHhjQtQx8s0nhBCXocJCB0dPZLJ930lsdvcZTs5k5nPg6GkaNwykdZNQrGb5qhBCiPIohwOVuLv8BFQxpwP163q0sCiw+tZ8cEKIi5LVYMRqMNKrXhNszr9brBt1+jo9BpQQFZGzVwghLjM2e1ECasvupFIaeBdxKjhw9AxOp6Jd8zBpESWEEOUpzEUl7vS8fGYqpCVBA0lCCSHKZ9YbJOkkLiky6IcQQlxmCgod7Nh/sswE1NkOHU/nTGZBjcckhBAXtfxcyEipVBV1fJ8MUi6EEOKyI0koIYS4jDidTo4nZ1Foc1Zc+C8Hjp6h4KyBy4UQQpzDVvlkvbIXgPL8WiyEEEJcCiQJJYQQl5ECm5M/T2ZVqk5yajZOpzwoCSFEmaowO5VmMIMmt+JCCCEuL/LNJ4QQlxNFiYHIK2KzOXF60ndPCCEuVxYvCAivVBWtYQs0o6mGAhJCCCHqJklCCSHEZUVh0Ffu0q836NC0GgpHCCEuBWYvtNg2npf3D4WgiJqLRwghhKijJAklhBCXEZNRT3iwd6XqhAV5odNJFkoIIcqi6fRoMS0hpEHFhfUGtLa9wWSt+cCEEBc9ZStA5WX//VeFMeiEqEtkrkchhLiM6PU6Yhv4s/dwKnaHZ33s4hoGYjHJ14UQQpRH8/JD12UYzp++hpOJpRcyWdGuuhYtIgZNr7+wAQohLiqqIA9yMlAHt6GSE8FeAAYzWkQsxCWAtz+aWZLZ4uIjLaGEEOIyYzbpad4oxKOy9cJ8CA2UGxwhhPCE5huIruswdL0nQFRz8AkELz8IrofWrh+6a/6BVr8JWhUGMhdCXD5Ufg5q9/c4V72POvALZKVBXjZkpaEO/FK0fPf3qPycGoshOTmZ22+/nUaNGmE2m4mKimLw4MF8++23rjKbN2/m2muvJTAwEIvFQuvWrZk9ezYOR9Gsyp9//jl6vZ4///yz1H3Ex8dzzz33ANCzZ0/uuusu17qePXuiaRqapmE2m6lfvz6DBw9myZIlHsV/xx130L59e8xmM1dccUWpZRYtWsQVV1yBl5cX0dHRvPjiix5tW5wfSUIJIcRlxmTU0yQ2kJZxIeWO9VQ/zIerWkdiMUsrKCGE8JRm9UGLbISu4yB0/W9EN/AmdD3GoDW7Cs0nAM1grO0QhRB1mCrIQ/22CbXvR1BlTCajnKh9PxaVK8ir9hiOHDlC+/btWbt2LS+++CK7du1i1apV9OrVi9tuuw2ApUuX0qNHDxo0aMC6devYt28fd955J8888wxjxoxBKcWQIUMIDg5mwYIFJfbx3XffcfDgQaZNm1ZmHP/4xz9ISkri0KFDfP7557Ro0YIxY8Ywffp0j17H1KlTGT16dKnrVq5cyfjx47n55pvZvXs3b775Jq+88gqvv/66R9sWVSdPFkIIcRmymAw0bxREVIQvB46dIelUNoV2JwadRmiQF3ENAwnyt0gCSgghqki6yQghqiQnA7X/Z4+Kqv0/ozVqA9V8vbn11lvRNI2ff/4Zb++/xxJt2bIlU6dOJScnh3/84x8MGTKEd99917X+pptuIjw8nCFDhrBo0SJGjx7NxIkT+eCDD3j44Yfd9jFv3jw6duxIy5Yty4zDy8uLiIiiSRwaNGhAp06daNasGVOnTmXUqFH07du3zLpz5swBICUlhV9//bXE+v/85z8MHTqUm2++GYBGjRrx0EMP8fzzz3Pbbbehyaw8NUZaQgkhxGXKbDIQHGClfYtwBnZvxOCejbn26sZ0bBNJvTAfSUAJIYQQQlxAylaAOrit7BZQJSo4UQe2Vetg5adPn2bVqlXcdtttbgmoYgEBAXzzzTekpaVx3333lVg/ePBgmjRpwieffALAtGnTOHDgAN99952rTHZ2NosXLy63FVRZJk+eTGBgoMfd8spSUFCAxWJxW2a1Wvnjjz84evToeW1blE+SUEIIcZkzGvRYzQa8LEasFgNmGYRcCCGEEOLCs9uKBiGvBHUyEey2agvh4MGDKKVo1qxZmWV+//13AJo3b17q+mbNmrnKtGjRgk6dOjFv3jzX+kWLFqGUYsyYMZWOT6fT0aRJE44cOVLpumcbMGAAS5Ys4dtvv8XpdPL777/z8ssvA5CUlHRe2xblkySUEEIIIYQQQghRF9gr2arJVlitu1fKs9mTK1N26tSpLF68mKysLKCoK97IkSPx9fWtcozF3eWuueYafHx88PHxKbdr37n+8Y9/MGPGDAYNGoTJZKJTp06upJhOJ2mSmiRHVwghhBBCCCGEqAsMlZw902iq1t3Hx8ejaRr79u0rs0yTJk0A2Lt3b6nr9+7d6yoDuJI7ixYt4sCBA2zatKlKXfEAHA4HBw4cIDY2FoD333+fHTt2sGPHDlasWOHxdjRN4/nnnyc7O5ujR4+SnJzMVVddBRSNDyVqjiShhBBCCCGEEEKI2mYwokXEVqqKFh4L1TjrZlBQEAMGDOCNN94gJyenxPr09HT69+9PUFCQq/va2ZYtW8aBAwcYO3asa5mvry8jR45k3rx5zJ8/nyZNmtC9e/cqxbdgwQLOnDnD8OHDAahfvz5xcXHExcURHR1d6e3p9Xrq16+PyWTik08+oXPnzoSGhlYpNuEZGfhDCCGEEEIIIYSoZZrRDHEJng9OrunQ4hOK6lWjN954g65du3LVVVfx1FNP0aZNG+x2O6tXr+att95i7969vPPOO4wZM4bp06czY8YM/Pz8+Pbbb7n//vsZMWIEo0aNctvmtGnT6N69O3v37uXBBx/0KI7c3FySk5Ox2+388ccfLF26lFdeeYVbbrmFXr16lVv34MGDZGdnk5ycTF5eHjt27ACKxqgymUykpqayePFievbsSX5+PvPnz+ezzz5jw4YNVTpmwnOShBJCCCGEEEIIIeoCb3+0pleh9v1YYVGt6VXg5V/tITRq1Iht27bx7LPPcu+995KUlERoaCjt27fnrbfeAmDEiBGsW7eOZ599lu7du5Ofn098fDyPPPIId911l2vMpmLdunWjadOmHDx4kEmTJnkUx3vvvcd7772HyWQiODiY9u3b8+mnnzJs2LAK6950001uCaV27doBkJiYSExMDFDUquq+++5DKUXnzp1Zv369q0ueqDmaqszIY8JjmZmZ+Pv7k5GRgZ+fX22HI4QQQgghhBB13qXwHJWfn09iYiKxsbFYLJZK11f5OajfNqH2/1x6iyhNh9b0KrSWXdEs3tUQsRDnz9PzXlpCCSGEEEIIIYQQdYRm8YZW3dEatUEd2IY6mVg0C57RhBYeixafAF7+aGZrbYcqRKVJEkoIIYQQQgghhKhDNLMVzFZo1wfNbvt7hcFY7WNACXEhSRJKCCGEEEIIIYSogzSjGSTpJC4hutoOQAghhBBCCCGEEEJc+iQJJYQQQgghhBBCCCFqnCShhBBCCCGEEEIIIUSNkySUEEIIIYQQQgghhKhxkoQSQgghhBBCCCGEEDVOZscTQgghhBBCCCHqIJvdgd2uQAMUGAwaRoO+tsMSosokCSWEEEIIIYQQQtQhBYUOcvJsHDx2huTUHOx2JwaDjogQb+IaBuJtNWI2STJKXHykO54QQgghhBBCCFFH5BfY2X0ghVUbD3Pg6BmycgrJK7CTlVPIgaNnWLXxMLsPpJBfYK/2fU+ZMoWhQ4eWWL5+/Xo0TSM9Pd3t/z///HP0ej1//vlnqduLj4/nnnvucVvWq1cv3n//fbdlAwYMQK/Xs2XLlgpjmjJlCpqmoWkaRqOR8PBw+vXrx7x583A6nW51d+7cyZAhQwgLC8NisRATE8Po0aM5deqUh0dEVDdJQgkhhBBCCCGEEHVAQaGD3w6msi/xNEqVXkYp2Jd4mt8OplJQ6LiwAZ5jyJAhBAcHs2DBghLrvvvuOw4ePMi0adNcy06fPs2mTZsYPHiwa9mxY8fYvHkzM2bMYN68eR7td+DAgSQlJXHkyBFWrlxJr169uPPOOxk0aBB2e1FyLiUlhT59+hAUFMT//vc/9u7dy/z586lXrx45OTnn+cpFVUl3PCGEEEIIIYQQog7IyStk/5HTHpXdf+Q0jRoE1Gq3PKPRyMSJE/nggw94+OGH3dbNmzePjh070rJlS9ey5cuXk5CQQHh4uGvZ/PnzGTRoELfccgudOnVi9uzZWK3WcvdrNpuJiIgAoH79+iQkJNCpUyf69OnDBx98wE033cSmTZvIyMjg/fffx2AoSn3ExsbSq1ev6nr5ogqkJZQQQgghhBBCCFHLbHYHB4+ml9kC6lxKwYFjZ7DZa7c11LRp0zhw4ADfffeda1l2djaLFy92awUFsGzZMq6//nrXv5VSzJ8/nwkTJtCsWTPi4uJYvHhxleLo3bs3bdu2ZcmSJQBERERgt9tZunQpytODKmqcJKGEEEIIIYQQQohaZrcrktMq103s5F+Dllenr7/+Gh8fH7e/a665pszyLVq0oFOnTm5d6RYtWoRSijFjxriWFRQUsGrVKoYMGeJatmbNGnJzcxkwYAAAEyZMYO7cuVWOvVmzZhw5cgSATp068fDDDzNu3DhCQkK45pprePHFFzl58mSVty/OnyShhBBCCCGEEEKI2qZR6YSSzeEETavWMHr16sWOHTvc/s4dSPxcU6dOZfHixWRlZQFFXfFGjhyJr6+vq8zatWsJCwtz6543b948Ro8e7eouN3bsWDZt2sShQ4eqFLtSCu2s4/Hss8+SnJzM22+/TcuWLXn77bdp1qwZu3btqtL2xfmTJJQQQgghhBBCCFHbFBgMlXtEN+p1eNx/z0Pe3t7ExcW5/dWvX7/cOsUtnhYtWsSBAwfYtGlTqV3xzm4Fdfr0aZYuXcqbb76JwWDAYDBQv3597Ha7xwOUn2vv3r3Exsa6LQsODmbkyJG89NJL7N27l3r16vHSSy9Vafvi/MnA5EIIIYQQQgghRC0zGDQiQrzJyin0uE54iHelE1c1wdfXl5EjRzJv3jwOHTpEkyZN6N69u2u9UoqvvvqK//73v65lH330EQ0aNOCLL75w29Y333zDyy+/zFNPPYVe7/mg62vXrmXXrl3cfffdZZYxmUw0btxYZserRZKEEkIIIUS1Uk4nyl70q6xm0NB0tX9zLIQQQtR1RoOeuIYBHDx2xqPGTZoG8Q0DMRpqb3a8s02bNo3u3buzd+9eHnzwQbd1W7duJTc3l27durmWzZ07lxEjRtCqVSu3slFRUTz00EOsWrWK6667rtR9FRQUkJycjMPh4OTJk6xatYpZs2YxaNAgJk2aBBSNbbVw4ULGjBlDkyZNXImwFStWMH/+/Gp+9cJTkoQSQgghRLVwFthRhQ4KEs/gyCgAFHp/C+aYQDSzHp1ZbjuEEEKI8nhbTTSNCWJf4ukKyzaNCcLLarwAUXmmW7duNG3alIMHD7oSQcW+/PJLrr32WtfYT1u3bmXnzp289957Jbbj7+9Pnz59mDt3bplJqFWrVhEZGYnBYCAwMJC2bdsyZ84cJk+ejO6vH79atGiBl5cX9957L8ePH8dsNhMfH8/777/PxIkTq/nVC09pSuYqrBGZmZn4+/uTkZGBn59fbYcjhBBC1ChHTiG5O5MpPJKOOndQVYMOc0N/vNpFovc21U6AQgghLgqXwnNUfn4+iYmJxMbGYrFYKl+/wM5vB1PZf+R0qS2iNK0oAdUyLgTLRfIDT5s2bXj00UcZNWpUbYciaoin5/3FccYKIYQQos5y5NrI3nwMW1J26QXsTgoOn8GRXYhv92hJRAkhhBDlsJgNtIoPpVGDAA4cO8PJ1BxsDidGvY7wEG/iGwbiZTViNtWNbngVKSwsZPjw4VxzzTW1HYqoA+rUIA2zZs2iQ4cO+Pr6EhYWxtChQ9m/f79r/ZEjR9A0rdS/zz77zFXu2LFjXHfddXh5eREWFsb999+P3W5329f69etJSEjAbDYTFxfHBx98UCKeN954g5iYGCwWCx07duTnn3+usdcuhFIKmyOXQkc2hY5clKrc9KxCCFEblN2J/XQW5oZmfLoE45UQjDHcB0qZLdp+Kof8vSkom+PCByqEEEJcRMwmPYH+Fto1D6Nv52iu6d6Ivp2jadc8jEB/y0WTgIKiwcCfeOIJfH19azsUUQfUqSTUhg0buO222/jxxx9ZvXo1NpuN/v37u0auj4qKIikpye3vySefxMfHx5VVdTgcXHfddRQWFrJ582YWLFjABx98wOOPP+7aT2JiItdddx29evVix44d3HXXXdx0003873//c5X59NNPueeee3jiiSfYtm0bbdu2ZcCAAZw6derCHhRxyXM4beTbM0nO3clvaUv4NeVTfktbzJ/Zv5Bvz8Dh9Hx2DCGEuKAcueBMxaBfj8H4MQbtP5j9luNzZSH+/cIwRZXsRlGQeAanJKGEEEIIjxgNeqwWI1azAavFWGcGIReiqur0mFApKSmEhYWxYcMGrr766lLLtGvXjoSEBObOnQvAypUrGTRoECdOnCA8PByAt99+mwcffJCUlBRMJhMPPvggy5cvZ/fu3a7tjBkzhvT0dFatWgVAx44d6dChA6+//joATqeTqKgobr/9dv71r39VGPul0JdZ1DybM4/UvN85cGYlefYzJdab9b40DuhHhFdrjHqvWohQCCHK4MiAzK9xnv4WR8a5g6dqaD4t0UImk3fARP5+9+ubb/dozLGBFy5WIYQQF41L4TnqfMeEEuJi5Ol5X6daQp0rIyMDgKCgoFLXb926lR07djBt2jTXsh9++IHWrVu7ElAAAwYMIDMzk99++81Vpm/fvm7bGjBgAD/88ANQ1Gd169atbmV0Oh19+/Z1lRHifNmdBaTk7mNXyqelJqAAChxZ7Elbyomc7did+Rc4QiGEKIMjE858DJnLwZ5VSgGFyt6N88/nsTaxYWrg3vzekV1wYeIUQgghhBB1Sp1NQjmdTu666y66du1Kq1atSi0zd+5cmjdvTpcuXVzLkpOT3RJQgOvfycnJ5ZbJzMwkLy+P1NRUHA5HqWWKt3GugoICMjMz3f6EKI/Nmcu+08tQVNQtRfH7mRXk2zMuSFxCCFEu5YS8XyHn+78WlDL4UzFbKir1v1ibWd0Wa/o6e/shhBBCCCFqUJ29C7ztttvYvXs3CxcuLHV9Xl4eH3/8sVsrqNo0a9Ys/P39XX9RUVG1HZKow5zKwcmcXdicuR6Wt/Nn9i8yPpQQovY5syB77d//NpR/K6GydqGzZGMI/btLsSHUu6aiE0IIIYQQdVidTELNmDGDr7/+mnXr1tGgQYNSyyxevJjc3FwmTZrktjwiIoKTJ0+6LSv+d0RERLll/Pz8sFqthISEoNfrSy1TvI1zPfTQQ2RkZLj+jh8/7vkLFpcdmyOXk7m7Ky54llO5e7A7pQuLEKKWObKg4O+ZazW9hmYs73bCATnfY4woag1lCPVG72Oq4SCFEEIIIURdVKeSUEopZsyYwdKlS1m7di2xsbFllp07dy5DhgwhNDTUbXnnzp3ZtWuX2yx2q1evxs/PjxYtWrjKfPvtt271Vq9eTefOnYGiKSTbt2/vVsbpdPLtt9+6ypzLbDbj5+fn9idEmTRFoSO7UlVszhygzs4jIIS4XDizcLsWaaCzGMrtlafsGegsCjSwtghBsxhqPEwhhBDiUuC0OXDm2f7+kxlmxUWuTiWhbrvtNv773//y8ccf4+vrS3JyMsnJyeTl5bmVO3jwIN999x033XRTiW3079+fFi1aMHHiRHbu3Mn//vc/Hn30UW677TbMZjMAN998M4cPH+aBBx5g3759vPnmmyxatIi7777btZ177rmH9957jwULFrB3715uueUWcnJyuPHGG2v2IIjLhqZV7iFM0wyglfOUJ8RFxOmw4SjMoSD9OHlphylI/wNHYQ5Oh622QxMVOefapaGhGfXovUxlJ6I0A8qh4X1lfYyRfmhyLRNCCCHK5SywYz+dR+62E2T87yDpX+8n438Hyd12AvvpPJwF9toOsUw9e/bkrrvuKrdMTEwMr7766gWJR9QtdeqnyLfeegsoOmnPNn/+fKZMmeL697x582jQoAH9+/cvsQ29Xs/XX3/NLbfcQufOnfH29mby5Mk89dRTrjKxsbEsX76cu+++m9dee40GDRrw/vvvM2DAAFeZ0aNHk5KSwuOPP05ycjJXXHEFq1atKjFYuRBVocOEv7kBObaTFRf+i7+pAVrdyhsLUWnK6cRRmE3uqf0UZvyJcvw9zpmmN2EOqI81tBl6szeaJud7naQPAp0fOP+egEPTNDDr0RvMqHw7qtCBKm4spYHm0xJTQDA6LzM6k7524hZCCCEuEs58G3m7T5G3N8W9I0SeHUdmAfm/p2FtHoq1VRg6i7Fa9z1lyhQWLFgAgMFgoEGDBowcOZKnnnoKi8VSbfvZsmUL3t4yRuTlqE4loZTyrKvRc889x3PPPVfm+ujoaFasWFHuNnr27Mn27dvLLTNjxgxmzJjhUUxCVIZRbyHKtyMnsrfhaRe7Br5XYdLLhVpcvJRyYs9PJzNxM05byUH5laOQ/LRECrNO4RfbBYMlQFrM1EU6b/DuCFmr3RZrmoZm0KO8deClUM6ia5tmDAb/K9CMXqVtTQghhBBncRbYixJQe1LKLqRwrbe2Dkdnrt7H+oEDBzJ//nxsNhtbt25l8uTJaJrG888/X237OHdYHXH5kJ+ZhaglXoYQwr1beVQ2yNIIf7PMuCgubk57AVlHfyo1AeVWrjCHrKM/47TnX6DIRKXoLODTr6g1VCk0TUPT6dAZ9OgMejT/a9AkgS6EEEJ4xJlTWNQCygN5e1Nw5lT/UAZms5mIiAiioqIYOnQoffv2ZfXqoh+f0tLSGDt2LPXr18fLy4vWrVvzySeflNiG3W5nxowZ+Pv7ExISwmOPPebW6OTc7njp6encdNNNhIaG4ufnR+/evdm5c6dr/c6dO+nVqxe+vr74+fnRvn17fvnll2p/7aLmSRJKiFpi0nvTLHAwIdam5ZYLMEfTMngkZr3vBYpMiOqnlMKWdRJHQZZH5R35GdhyUms4KlFlhnAImQE6/3IKaeA3CHx6FCWuhBBCCFEup81B/u9pns9FpCD/QGqNDla+e/duNm/ejMlUNLNtfn4+7du3Z/ny5ezevZvp06czceJEfv75Z7d6CxYswGAw8PPPP/Paa68xe/Zs3n///TL3M3LkSE6dOsXKlSvZunUrCQkJ9OnTh9OnTwMwfvx4GjRowJYtW9i6dSv/+te/MBqrtyuiuDDqVHc8IS43FoM/rUJGkpZ3gD+yt3AmP5Gibx0Nf3MU9X2uJNTaHItBZlsUFzdlLyD/dGKl6uSnJWLyDkVnlARGnaMzgrkpRDwK2esh5wdwnP5rpRGsrcG3L5jiQO9Tm5EKIYQQFw+7E1tyJWfQTspG2Z1grL4xF7/++mt8fHyw2+0UFBSg0+l4/fXXAahfvz733Xefq+ztt9/O//73PxYtWsRVV13lWh4VFcUrr7yCpmk0bdqUXbt28corr/CPf/yjxP42btzIzz//zKlTp1yTib300kt88cUXLF68mOnTp3Ps2DHuv/9+mjVrBkB8fHy1vV5xYUkSSohaZtb7Eul9BcHWJjichThUIXrNiF5nwqjzRieDM4tLhKOgcjdVjoIslMc/BYoLTmcEXX3wHwG+14AzG5SjaMwonRWk9aYQQghRaaqSrZqUzVnm5LRV1atXL9566y1ycnJ45ZVXMBgMDB8+HACHw8Fzzz3HokWL+PPPPyksLKSgoAAvL/exHzt16uQ2tmfnzp15+eWXcTgc6PXuCbOdO3eSnZ1NcHCw2/K8vDwOHToEFM1ef9NNN/Gf//yHvn37MnLkSBo3blzNr1xcCJKEEqIO0DQdZr0PyKRRogY4nU7sdrurH76maRgMBnS6C5zg9HDyCXGR0ZmL/giq7UiEEEKIi55m1EOevRLlddX+k523tzdxcXFA0cz0bdu2Ze7cuUybNo0XX3yR1157jVdffZXWrVvj7e3NXXfdRWFhYQVbLVt2djaRkZGsX7++xLqAgAAAZs6cybhx41i+fDkrV67kiSeeYOHChQwbNqzK+xW1Q5JQQghxiXI4HNhsNk6dOkVKSgr5+UUDfVutVsLCwggJCcFkMl2QZJQCdCbvEoON660B6AxmUAqnLR9HQebf60xeaNX+254QQgghRB1l0GGM9MGRWeBxFWOkD5qh5u7ldDodDz/8MPfccw/jxo1j06ZNXH/99UyYMAEo+rHz999/p0WLFm71fvrpJ7d///jjj8THx5doBQWQkJBAcnIyBoOBmJiYMmNp0qQJTZo04e6772bs2LHMnz9fklAXIennI4QQlyCHw0FGRgY7duzg6NGj5Obm4nQ6cTqd5OTkkJiYyM6dO8nIyMDpdNZ4PDqDCUtQNACazoA5MBr/Ru3xrx+Fb7AOnxAD/lGN8Itph8m/AWg6zIExaAZzjccmhBBCCFEX6Ix6LPHBePwbnAaW+BB01TgeVGlGjhyJXq/njTfeID4+ntWrV7N582b27t3LP//5T06ePFmizrFjx7jnnnvYv38/n3zyCf/+97+58847S91+37596dy5M0OHDuWbb77hyJEjbN68mUceeYRffvmFvLw8ZsyYwfr16zl69CibNm1iy5YtNG/evEZft6gZ0hJKCCEuQdnZ2ezfvx+7vezm3IWFhezbt49WrVrh61uz4/domg6TXz0M1kS8wxuhV8dQZ97DmfsrUJQEU5oRvXcCPkEDsAe2w+AV7jaWgBBCCCHEpU7nbcLaPJS8PSkVlrU2D0XnXfMzxBkMBmbMmMELL7zA9u3bOXz4MAMGDMDLy4vp06czdOhQMjIy3OpMmjSJvLw8rrrqKvR6PXfeeSfTp08vdfuaprFixQoeeeQRbrzxRlJSUoiIiODqq68mPDwcvV5PWloakyZN4uTJk4SEhHDDDTfw5JNP1vhrF9VPU0oG6agJmZmZ+Pv7k5GRgZ+fzGwmhLhwbDYb+/fv58yZMx6VDw4OJj4+vsanuVVOB8qegUr/EmfaIsqcf1gzYYi8GXx6oOm9azQmIYQQQtQtl8JzVH5+PomJicTGxmKxVH6WX2e+jbzdp8jbm1L67ZJWlICytgpDZ6n5JJQQnvD0vJeWUEIIcYkpLCwkPT3d4/JnzpzBZrPVeBJKQ0HBNshZhaY3oJx298HKNQ1NZ0BntED6x2jGMLC2B2kNJarI7nSQ57CRb7fhUE5MOgNmvQEvg0la2QkhhKizdBYj1tbhmBsFkX8gFVtSdtEseMaiMaMs8SHovI3ozPI4Ly4+ctYKIcQlJiMjg8o0cnU6nWRmZpaYWrfaqWy0rG/QdHo0kzcoJ06nHZQTNB06vRHQ0DQd4ISsb8DcBPQX56+govY4lZPMwgJ2nf6T3WeSOF2QA4CGRoxvEFcENyDaJxhvo6mWIxVCCCFKpzMb0JkNeCXUQ9mdaBQ1itIMuhofA0qImiRJKCGEuMSUNw5UWRwORw1Eco7Co2D7AygaIwpNh15XztdQ/h5wnJYklKgUp1Kcystm6ZEdnC7IdVunUCRmpZGYlUarwEj61G+Gj1EGvxdCCFF36Yx6kKSTuITI7HhCCHGJqUq3upruigdAwYFKVnBC4fEaCUVcurJs+Sw9srNEAupcu88ksSn5EHl22wWKTAghhBBCSBJKCCEuMQEBAej1nv9iZjAYLszAn6oqra0uQAstcclwOJ3sPZPs6n5XkR1pf5BnL6zhqIQQQgghRDFJQgkhxCXGYDAQFBTkcfng4GAMhgvQO9sYUfk6htDqj0NcsvIcNnadOeFxebtysuvMCWxOSXYKIYQQQlwIMiaUEEJcYoxGIw0bNiQrK4v8/Pxyy1qtVqKioi5MEsrSCnT+4MzwrLwxCoz1azYmUW2U3QaFeZB2ApWdDjo9WnA98PYHi9dfA87XLIdyciovq1J1/sxJp9Bhx6iT8TaEEEIIIWqaJKGEEOISZLFYaN68OQcOHCA7O7vUMr6+vsTHx2OxWC5MUDov8O4MWas8K+9zNWg+NRuTqBYqNwv1+xbUkV2Q83eSUQGENkRr1hEiYtFMNXuuOZzOytepxEySQgghhBDi/EgSSgghLkE6nQ5vb29atmxJdnY2ycnJrlZRVquViIgIvL29MRqNaJp2gYKygt8gsB0rmvmuPF6dwLsblDd7nqgTVG4mzh+WQfLh0gukHEOl/gEJ/aFRmxpNRBl1ekw6PYWV6F7nbTChuwCttIQQQoiqsDsLcKi/xy/UayYMOpnZVVy85O5eCCEuUZqmYTKZCAoKwtfXF/VXiw9N0y7MbHilMQRB8C2QsRRyfwLnOQNI6/zBpwf4DgS9f+3EKDymCvNRv35XdgLKVdCJ2v4NWkAoRMTWWDwGnZ44/zD2nEnyuE6roHpYDbX0eRBCCCHKYHPkkudI54+sn0jLO4hDFaDXzARb42jg2xGrPgCj3qu2wyzXkSNHiI2NZfv27VxxxRXnta2YmBjuuusu7rrrrmqJTdQe+elPCCEuA0ajEZPJhMlkqr0EVDFDMASMg8jnIHAi+PQBn74QdBNEPgP+14MhoHZjFJ4pzEMd3e1ZWacT5+9bUAV5NRaO1WCkfUiUx+VDLN5Eel2AmSGFEEKISihwZHMoYy0/nvg3x7N+JNeeSoEji1x7KsezfuTHE//mUMZaChylD7lwPqZMmYKmadx8880l1t12221omsaUKVOqfb8V2bJlC9OnT7/g+xXVT5JQQgghLjy9V9HMd37XQOCkomSUb++iBJXOWtvRCQ8opxN1dA/YCysuXOzEwaLBy2tQqMWXruGNKixn0RsY2KAlXnpTjcYjqsZZ6MCZZ8ORa8OZZ8NZaK/tkIQQ4oKwOXJJzFjP0czvUZQ+1qHCydHM70nMWI/NkVvtMURFRbFw4ULy8v7+zs7Pz+fjjz+mYcOG1b6/8hQWFt1nhIaG4uVVt1t+Cc9IEkoIIUTt0hmL/sTFxWGDjJRK1rFDbuVmr6ssq8HIVWEx9K7XBG9D6QmmCKsfIxslUM/bH71OboXqEmeBHVtqDrm//En6it9JX7aP9BW/k/PTn9hOZePMl2SUEOLSlmdP51jmJo/KHsvcRJ4jvdpjSEhIICoqiiVLlriWLVmyhIYNG9KuXTvXslWrVtGtWzcCAgIIDg5m0KBBHDp0qMztOhwOpk2bRmxsLFarlaZNm/Laa6+5lZkyZQpDhw7l2WefpV69ejRt2hQo6o736quvusrNnj2b1q1b4+3tTVRUFLfeemuZk/GIukXGhBJCCCHEJcXLYKJ9SENaBkZyIDOFo1mnsTsdWA0mWgfVI8Tig5feiE4SUHWKM89G7q6T5O9LdVuuCh0UJJ6hIPEM5saBeCfUQ2eVxLUQ4tJjdxZwPPunMltAnUvh5I+sn2kSeE21D1Y+depU5s+fz/jx4wGYN28eN954I+vXr3eVycnJ4Z577qFNmzZkZ2fz+OOPM2zYMHbs2FHqd6zT6aRBgwZ89tlnBAcHs3nzZqZPn05kZCSjRo1ylfv222/x8/Nj9erVZcan0+mYM2cOsbGxHD58mFtvvZUHHniAN998s/oOgqgRkoQSQgghROXpjeAXUsk6BvDyrbYQHA4nhXYnKNA0MJv0rtkeTXoDJr2BdsENaBkQiROFQdNh0sutT13kLLCTt/tUiQTUuQoOnUEDvNrXR2eR91IIcWlxqEJO5x2sVJ3T+QdxOAurPQk1YcIEHnroIY4ePQrApk2bWLhwoVsSavjw4W515s2bR2hoKHv27KFVq1Yltmk0GnnyySdd/46NjeWHH35g0aJFbkkob29v3n//fUymsrvMnz1AeUxMDM888ww333yzJKEuAvLtLYQQF5DDWYhdFaCUE9CKZqrTecsU8eKio+l0EN0S9dtGz8eFqhcHJst577vQ5qCg0EHiHxmcOp2D3aEwG/U0iPSlfqgPJpMeg77oM6XTdFgM8vmq65y5NvL2l5+AKpZ/6AzmJiGShBJCXJIcqqBS5e3OAtCqP47Q0FCuu+46PvjgA5RSXHfddYSEuP/4dODAAR5//HF++uknUlNTcTqLWnAdO3as1CQUwBtvvMG8efM4duwYeXl5FBYWlpg5r3Xr1uUmoADWrFnDrFmz2LdvH5mZmdjtdvLz88nNzZWxo+o4+fYWQogLwO4sIN+ezp/ZWzmZu4sCRyYaOnyMYdTzaU+YVwtMej9JRomLi9mC1rAF6vCOisvqdOjir0Qzn9+NYX6BnX2JaexPPI3dodzWnUjJxmo2kNAinHphPpiM+vPal7gwlM1B/oE0cKqKC/8l//dU9P5mdCa5lRVCXFr0mhnwfPxEg84Mnl8+K2Xq1KnMmDEDKEoenWvw4MFER0fz3nvvUa9ePZxOJ61atXINJn6uhQsXct999/Hyyy/TuXNnfH19efHFF/npp5/cynl7e5cb15EjRxg0aBC33HILzz77LEFBQWzcuJFp06ZRWFgoSag6Tr65hRCihtmc+ZzK/Y29aV/gUO5fyhmFf5Bx+g+OZm6iTehYfE2R6DR5cBbVQzmcqAIHzgI7yu5EM+rRmfVoZgOa7vx/NtVMVmjbE5WTDiePlFNQh3ZFXwiud177Kyi089vBVPYlni6zTF6BnR92/EnnK+rTIMLX1SJK1F3K7sSWXLnBZG3J2eCooacuIYSoJXrNRLA1jtwsz1qGAgRZ4tDramam14EDB1JYWIimaQwYMMBtXVpaGvv37+e9996je/fuAGzcuLHc7W3atIkuXbpw6623upaVN5B5WbZu3YrT6eTll192jT21aNGiSm9H1A5JQgkhRA1yKgdpeb/zW+rnKBxllsu1p7Iz5SPah0/F2xh6ASMUlyKlFM4cGwWHT1OQeAZHxt9N+w0hXpjjgjBH+VfL4M6alx+6LkNR+39GHdkNuZnuBUKj0Jp2RItshHaeXfEysgvLTUAVcyrYuuckoUFeGKyShLoYKLtng/BWtbwQQlwMDDozDXw68kfWzx4NTq6ho4HvVdU+HlQxvV7P3r17Xf9/tsDAQIKDg3n33XeJjIzk2LFj/Otf/yp3e/Hx8Xz44Yf873//IzY2lv/85z9s2bKF2NjYSsUVFxeHzWbj3//+N4MHD2bTpk28/fbblXtxotbInZkQQtQgmyOHwxlry01AFcuzn+ZY1o/YnR6OryNEKZRSODIKyFx7mNwdyW4JKAB7ai45P/5B1qZjOHKq51zTvPzQWl+NbsBUdN1GoLXri9Z+ALr+U9F1H4nWsNl5J6AKCx0cOFpxAqpYfoGdE6eycVaii5eoPZqxcrekmnS1FEJcoqyGABr6dfWobEO/rlj1ATUaj5+fH35+fiWW63Q6Fi5cyNatW2nVqhV33303L774Yrnb+uc//8kNN9zA6NGj6dixI2lpaW6tojzVtm1bZs+ezfPPP0+rVq346KOPmDVrVqW3I2qHppSSu7MakJmZib+/PxkZGaV+aIUQl4fUvN/ZenKux+XNel86Rd6OxeBfg1GJS5kj10bm2sM4TudVWNYU7Y9Px6iLYoDnvHwbyzccpsBWcUK3WESIN13b1cdirvuv73Km7E5ydyaR91uKx3UsTYLxSqiHziTJKCEuNZfCc1R+fj6JiYnExsZisVT+R5gCRzaJGes5lrmp1BZRGjoa+nUl1r8nZr1PdYQsxHnz9LyXuzIhhKghTuUgJXdvpeoUOLLItadKEkpUiVIKW1KWRwkogMJjGTjaRFwUSSinolIJKCiaRU9+a6v7NIMOc1wweftSPRvnSQNLfLAkoIQQlyyz3ofG/r2p55PAH1k/czr/IHZnAQadmSBLHA18r8KqD8ColwG4xcWn7t91CiHERUopBw5lq3Q96Y5XN+XaC8m2FXA4M5U8RyFWvYnGfqF4G014GWpmQNDKUvl2Cg561mXNWN8XfWMv8o0ZnMrag4NCTDofAsxRGHTWGhtfoqo0QK/TcFSie51eBiW/aOisRrxah5O7I7nCstbmoeh86sZnTgghaopR74VR70WTwGtwOAuLvggV6HWmOvcdLURlSBJKCCFqiKYZMOisla5n1FX+Vy2b00G+3cbJvCxy7AUYdXoivPyw6o1Y60iC5GJldzpIzs1k48lDJGal4TyrZc36pAM08g2mW2QcYRYfDLrabZmhFNhP55ZfSANL2xAK6xdwMH0Fpw7vRfPVoWlFs+WZdD6Ee7cmxq87VkMgmlY3Ejk6nUZIoBcn03I8rhMWZMUoYwddFHQmPZYmIQDk7jpZeosonYa1eQjWlmHopIulEOIyYdCZJekkLinyDS6EEDVEp+mI9G7L0czvAc9ab3gbw/AyBFZqPxmFeWxNOcZvZ5LItOW7lht1euL8QukUFkOo1RdjLSdILkYOp5M/ctJZkriDPEfJVm0O5eRAZgp/5mYwIrYd9bz80etqM2mjUBW0FDK3CiG3Xgbbj3+IzZGLZtChV+aiX1iBQmc2x7N+4Ex+IleETagzszWaTXriGgZ4nITS6zQaNQjAIK2hLho6iwFL0xDM0QHkHzpN4YkslM2BZtBhivDFHB+EzmqUBJQQQghxEZNvcSGEqEEWQwBBlkaczj/kUflI73YYKtESKr0gl6VHdnIiN6PEOpvTwd70ZBKz0hga04Zon6Bab6lzscmxF7Ds6K5SE1Bny7UXsuzor0yK74jvec4Cdz40TUNnNeLMLr1Lp87XhBZjYOexj7A5cosruRJQZ8u2JfNb2hLaho7DrPetuaCdheDMAdtRsKeCZgRTDOgDQf/3gLSaphEe7E1YkBenKmrtBcTHBGIxyW3OxUZnNoDZgFebCCzNQ4t6nyjQGXUyI54QQghxCZC7MyGEqEEmnTfxAQPYduoDbM7yH5wDzNHU92mPXufZpTnXVsg3f+wtNQF1tnyHjWVHdzE5viNBFm+PY7/cOZWT3zNOkXVW67LypBfmcTgrldZB9dFppWR1qi2wvL+SNsfAmQ86bzBGgc4bzWDAHOVP3t7SZxkzxviRlLuDAnuWa5nOrC9KRJXiTP5hcmwpNZeEsp+B7LWQsxHsJ89aoQdLC/C7BsxN4K/ErNVioPMV9fhhx4lyE1FXNAujabQXBl0WOLSiLIZmBL2c/xcLzaBDb5BWbEIIIcSlRpJQQghRgzRNw9dUjyvCJvJb6ufk2lNLK0WItQnNg4ZWala8DFseBzM9m9I8117Ir6dP0DWikXTL81Ce3cbu00mVqrPr9Ani/ELxNtbA2A3KUZSoyVwBub+AM/Pvdfog8O6E5tMfS/Ng8vanFk0ndzYN9A3N/Jm89e9FOg3NqC+tIZTLH1k/4WuMxKiv/Phm5bKfhrR3If/XUlY6IH8X5O+DoCng3Qn+Gl/Nx8tEt4QGJKfmcOj4GVLO5OF0KowGHQ0j/biiiQ8mXTq6rOWQ9ys4c0FnBnNT8O0DhkioyZZdQgghhBCiTJKEEkKIGqbXGQkwR9Mh4p+cKUjkRPY2ChyZaGj4mCKI8u2IlyEYk97H420WOOzsSD3u4UhTRfacSeLK0ChJQnlIUTTeVmVkFOZV6j3xPBgnFB6F1NfAXkri0XG6KDmVtwtdyB349ogha32i21BkmlGPMkBOwV/1Na1ohjFd+a22cm1pOJW9Gl8MRS25MpaUkYA6mw3OLABjfbA0cS21WgzE1PcjMtQbp1MVNXTSgcWQhy77G8j4EnCctT/AfqqoxZV3NwgcC/qA6n1NQgghhBCiQpKEEkKIC0Cn6bEY/Ig0tCXYEodTOdDQ0GlGjPrKjyFkdzpIK6h4XJyznSnMxaFqJEUiapojHVLfLD0BdTbbcbTT72GKuAufLlHk7jxZ6vhQmkGHzsuIZii/FVSRGjhnHNmQ84NnZVUhZH0DpvpFXQ//omkalrMHqHbmQNaaouRW2RuDnO+LknpBE93GnBJCCCHqJGc+qLOGBtAsoKu98SeFOF/S2V4IUSlKKZz2fJy2PBy2PJz20gdAFmUz6b2xGPwwG3yrlIAqpqqQHJAclOc0IMji+SDxAEFmbw+SOpWknJC/E+wnPCtf8Dua/SimmAD8B8bj2z0ac2wgxkgfdHo9PkER6P3MRd3wPAjWYghCp1Vj6znlgNwfQVWilVne9qIkU3kcmZDxlWfby90EtuOe718IIYS40BzZUHgE0j+G5Kch6eGi/6Z/XLTckV1roa1fvx5N00hPT/eovKZpfPHFF+e1z549e3LXXXed1zYuBtVxrOo6SUIJITyinE4ctjwK0o+TdfRn0g99R8bh78n+YxuF2Sk4PRy8WVQPvabDz1i5MXp8DGYMOrnse8pqMNEmqH6l6lwRXL/6x4NyZkH2d5Wrk7UWHXnovYyYYgLw7tgAn05RmCw+1PNvh6ZpHifLGvh2wKivXDKuXKoQCiuZAFJ54ChnAH5nIWR/D6rA821mranVG3ghhBCiTI4MyFgKSY8VfV/Zk4paRduTiv6d9FjR+vK+G8/TDz/8gF6v57rrrquxfVTGkiVLePrpp2tt/5qmceTIkSrVnTJlStG9l6ZhNBoJDw+nX79+zJs3D6fT6VY2KSmJa665phoirrvkaUQIUSGn04E9N42Mg+vIOvojhVnJOPIzcOSlU5B+jIyD68g8+iP2gqyKNyaqhcVgpF1Ig0rVaR4YgUnGg/KYTtNo5BtCkNmzGdXCLD5E+QTWQCQKbB62gipmPwHYgKKbJp1Jj85sQG8wUc8nAaPOswSmv6kBvsbISsZbkco0x9PA0gLldyPKEYLKzUTlZaHyz+mKqnIhf3flwsjfC1TfWFcOp40CRxb59kwK7FkUOLJRyllxRSGEEOJsjmzIWAZZK3Eb39C9UNH6jGU19oPK3Llzuf322/nuu+84caKS9yE1ICgoCF/fCz+xSGFh9fT6GDhwIElJSRw5coSVK1fSq1cv7rzzTgYNGoTd/vf9SEREBGZzDUxwU4dIEkoIUS6lFI68dDISN+MoKPtLzpZ9iqwjP+IorKDLjKg2QWZvGngHeFTWqNNzRXADTHoZCrAyvI0mro9ug5+x/G6TASYrg6Pb4GWoiVnxoGhk7crUUaBKb+tk0QfQMmQkes1U7iashiBahozApPcsCecxzQzGiIrL6YNQAXei1HWo3cdxrnwf57LXcX79Fs4fv0T98Tsq/6/rjVKV694HReNrVEOSyO4sJMeWwuHMdWxJfpdNJ15m04nZ7Dz1X07kbCffninJKCGEEJ5zpBaNheiJrG/AkVbtIWRnZ/Ppp59yyy23cN111/HBBx+UW75nz56ulj5n/53dcig1NZVhw4bh5eVFfHw8y5Ytc9vG7t27ueaaa/Dx8SE8PJyJEyeSmprqto+zu+PFxMTwzDPPMGnSJHx8fIiOjmbZsmWkpKRw/fXX4+PjQ5s2bfjll1/c9rNx40a6d++O1WolKiqKO+64g5ycHLftPv3000yaNAk/Pz+mT59e4vWeOXOG8ePHExoaitVqJT4+nvnz55d7jMxmMxEREdSvX5+EhAQefvhhvvzyS1auXOl2fM/ujldYWMiMGTOIjIzEYrEQHR3NrFmzXGXT09O56aabCA0Nxc/Pj969e7Nz507X+kOHDnH99dcTHh6Oj48PHTp0YM2aNW5xvfnmm8THx2OxWAgPD2fEiBGudU6nk1mzZhEbG4vVaqVt27YsXry43NfpCUlCCSHKpewF5CTvRjkq7uZizztDftphlLOsX21EdfI2mLg2qiWBpvK7Suk1HQMbtCDAVLnuewJ0mo5wqy9jGrenTVA9LOck8ax6I1cE1WdM4/aEWX3QeTLIUmVpGuiDK1fHEERZAz7pdUaCLfG0C5tMsCUe7ZxbAb1mJtL7ChLCbsTbGIamVfOtgqYH765QXhJMH4DynY7afxDnin+jDm2FvBxw2KEwH/48gHPDQpybv0DlZIBmAK2SXQY1S9GUeufB7swnJXcPP5z4N4fTvyXHdgq7Mx+bM5czBYnsTl3E1pNzybKdxCmJKCGEEBVx5kPWWspuAXUuB2SvLapXjRYtWkSzZs1o2rQpEyZMYN68eahyBhZdsmQJSUlJrr8bbriBpk2bEh4e7irz5JNPMmrUKH799VeuvfZaxo8fz+nTp4GiZErv3r1p164dv/zyC6tWreLkyZOMGjWq3DhfeeUVunbtyvbt27nuuuuYOHEikyZNYsKECWzbto3GjRszadIkV+yHDh1i4MCBDB8+nF9//ZVPP/2UjRs3MmPGDLftvvTSS7Rt25bt27fz2GOPldjvY489xp49e1i5ciV79+7lrbfeIiQkxOPjW6x37960bduWJUtKn1Rlzpw5LFu2jEWLFrF//34++ugjYmJiXOtHjhzJqVOnWLlyJVu3biUhIYE+ffq4jmt2djbXXnst3377Ldu3b2fgwIEMHjyYY8eOAfDLL79wxx138NRTT7F//35WrVrF1Vdf7dr+rFmz+PDDD3n77bf57bffuPvuu5kwYQIbNmyo9Gs9m/wkLoQol8OWhy3rlMfl888cwxISh97D7j6i6jRNI9jizejGCWxIOsjBzBRs5yQAG3gH0CW8EQ19gqQVVBXpdTpCrb70a9Cc7hFxnMjNoMBhx6I3UM87AIvegFlvrJF9K6VwOK2ogJvRCn/HYPu9aJDuilr9eHcHXdlN1g06E0GWxviaIsi3Z5KWfxC7Mx+zwZcQSxOMOi+M+hr8DOt8wXol5G4udbXyHoU6uA+1e3XRAr1f6QmjpEM4f/wKXZehaNYEKDzgeQyWlkDV3zencpCWf4jdaZ/hVGV368u2JbPz1H9pHz4VL2Mlk4lCCCEuLyof8n+rXJ2838Avv1pnzJs7dy4TJkwAirqRZWRksGHDBnr27Flq+aCgINf/v/LKK6xdu5affvoJq/Xve4kpU6YwduxYAJ577jnmzJnDzz//zMCBA3n99ddp164dzz33nKv8vHnziIqK4vfff6dJkyal7vfaa6/ln//8JwCPP/44b731Fh06dGDkyJEAPPjgg3Tu3JmTJ08SERHBrFmzGD9+vKtFVXx8PHPmzKFHjx689dZbWCxFx7B3797ce++9bvs6Owl37Ngx2rVrx5VXXgnglhiqrGbNmvHrr7+Wuu7YsWPEx8fTrVs3NE0jOjratW7jxo38/PPPnDp1ytV976WXXuKLL75g8eLFTJ8+nbZt29K2bVtXnaeffpqlS5eybNkyZsyYwbFjx/D29mbQoEH4+voSHR1Nu3btACgoKOC5555jzZo1dO7cGYBGjRqxceNG3nnnHXr06FHl1yxPJEKIMimlKMj4g8qM4eIszMGRn4W+koNmi6rRaTqCLT5cE9WSPEchBzNSyLLlY9IZiPULJtDkhdVgqpkWOpcZi96IRW8kwFyNg3SXweFwYLfbSU9P5/Tp0zjshRg0L0KCe+MXPAhDwY/ospZT6i+lhrCiBEsFrXw0TcOk98Gk98HPXK9mXkhZ9D4QOBocKVBwTuLIUA+IRP228K9/BxV14StL8mFIOQ71ekDmF54PTu7bF86jq6HNkcuh9DXlJqCK5dpTOZ71E3EBfdHryu8GKYQQ4jJX6e7leWW2fq6K/fv38/PPP7N06VIADAYDo0ePZu7cuWUmoYqtXLmSf/3rX3z11VclEkdt2rRx/b+3tzd+fn6cOlX0Q/fOnTtZt24dPj4+JbZ56NChMpNQZ2+zuNVV69atSyw7deoUERER7Ny5k19//ZWPPvrIVUYphdPpJDExkebNmwO4kktlueWWWxg+fDjbtm2jf//+DB06lC5dupRbpyxKKbQy3r8pU6bQr18/mjZtysCBAxk0aBD9+/cHio5ZdnY2wcHuP3Dl5eVx6NAhoKgl1MyZM1m+fDlJSUnY7Xby8vJcLaH69etHdHQ0jRo1YuDAgQwcONDVZfLgwYPk5ubSr18/t+0XFha6ElVVJUkoIS5DdrvdbSYGo9FY6sVPKSfKXvnB+JSjegbwE56zGoxYDUauCqvm8XvEBWez2UhLS+Po0aN/D4apFKhcUk4mYrF6E9voCgIC6mFIn0vxAORAUQuj4H+C3r9WYq8UQyiE3A4ZX0HuT+DMBEBZO6ISdxUNg2UIBZ1XhQk158Ft6MKGoPkPhfRPK963d3cwVm5g/3Nl206SVej5QK3JOTuJ9usmSSghhBDl06xAeuXKl9NVrrLmzp2L3W6nXr2/f6BSSmE2m3n99dfx9y/9HmPPnj2MGTOG//u//3MlSs5mNLq3PtY0zfU8kp2dzeDBg3n++edL1IuMLHuClLO3WfwsU9qys/fzz3/+kzvuuKPEtho2bOj6f2/v8u+nr7nmGo4ePcqKFStYvXo1ffr04bbbbuOll14qt15p9u7dS2xsbKnrEhISSExMZOXKlaxZs4ZRo0bRt29fFi9eTHZ2NpGRkaxfv75EvYCAAADuu+8+Vq9ezUsvvURcXBxWq5URI0a47i99fX3Ztm0b69ev55tvvuHxxx9n5syZbNmyhezsorGAly9fTv367rNFn+/A6ZKEEuIyYrPZKCgoIDk5mezsbJRSGI1GwsLC8Pf3x2g0otP9/bCnaTq0Ksympunk0iJEVdjtdlJSUly/YLloGmAFQzj5+WfYt2cLTZtfSZDfcPSZCwF9UeungOFgjC4ad+liYAiBwLHgP6Rodjv7KdBfiUpZDYZwQA+e/LibcqwoaeXTG1CQvhS35JyLBj49IGA06Ks+w47T6eBUbuVm48t3pJNrT8Ni8KvyfoUQQlziNAtYW0JWkud1rC2rrSue3W7nww8/5OWXXy6RSBo6dCiffPIJN998c4l6qampDB48mOHDh3P33XdXer8JCQl8/vnnxMTEYDDU3HNEQkICe/bsIS4u7ry3FRoayuTJk5k8eTLdu3fn/vvvr3QSau3atezatavcY+bn58fo0aMZPXo0I0aMYODAgZw+fZqEhASSk5MxGAxldgfctGkTU6ZMYdiwYUBREu7sweKhqKVb37596du3L0888QQBAQGsXbuWfv36YTabOXbs2Hl1vSuNPCkKcZkoKCggMTGRlJSUEuvOnDmDxWIhLi4OPz8/9PqiB1hN0zD51ycv5XeP96MZzOgt8pAlRFUUFhaSmJhY+kpN99dg2uEoZefQ4SP4tuuCPkAH1tagDywaO+lio7MU/fn8dYOTlwVOrXKJNLut6FdgvR/49gNrB8jZAHk7wZlb1J3P0qwoSWUIPa8EFIDCgUOVluQqn8PpYVdBIYQQlyedpei7Kmsdng1Ori8qX01JqK+//pozZ84wbdq0Ei2ehg8fzty5c0tNQg0fPhwvLy9mzpxJcnKya3loaKjruaI8t912G++99x5jx47lgQceICgoiIMHD7Jw4ULef/99j7bhiQcffJBOnToxY8YMbrrpJry9vdmzZw+rV6/m9ddf93g7jz/+OO3bt6dly5YUFBTw9ddfu7rylaW4IYDD4eDkyZOsWrWKWbNmMWjQICZNmlRqndmzZxMZGUm7du3Q6XR89tlnREREEBAQQN++fencuTNDhw7lhRdeoEmTJpw4cYLly5czbNgwrrzySuLj41myZAmDBw9G0zQee+wxt94wX3/9NYcPH+bqq68mMDCQFStW4HQ6adq0Kb6+vtx3333cfffdOJ1OunXrRkZGBps2bcLPz4/Jkyd7fLzOJUkoIS4DhYWFHDhwgDNnzpRZJj8/n71799KiRQv8/PxcLaL0Zl8MXkHYc097tC9zQAO0GhqkWYhLWfFNydk3ByX9lZzR9NicZtLOFBAZea1bC8aLnw6MlbyZNln+Hg9D5w0mbzAMB79ri5YpQGcq6tpXDTRNj6EKN/xGmbBBCCFERfQh4NsfslZWXNa3f+Vn0C3H3Llz6du3b6ld7oYPH84LL7xQ6iDa3333HYDbwNkAiYmJHg3aXa9ePTZt2sSDDz5I//79KSgoIDo6moEDB1brPU6bNm3YsGEDjzzyCN27d0cpRePGjRk9enSltmMymXjooYc4cuQIVquV7t27s3DhwnLrrFq1isjISAwGA4GBgbRt25Y5c+YwefLkMl+jr68vL7zwAgcOHECv19OhQwdWrFjhKr9ixQoeeeQRbrzxRlJSUoiIiODqq692jYU1e/Zspk6dSpcuXQgJCeHBBx8kMzPTtf2AgACWLFnCzJkzyc/PJz4+nk8++YSWLVsCRQOZh4aGMmvWLA4fPkxAQAAJCQk8/PDDlTpe59JUeXMtiirLzMzE39+fjIwM/Pwuwl+mxSVDKUVycjIHDx70qLyPjw8tW7bEZDL9Vd9JYWYymUd+AFX+LzI6oxf+ja/GIC2hhKi0wsJCfv31V/LyPB+Q1M/Pj+bNm7s+r5cC5XSgDmxF/bLK4zpadAu0DtehmS9ckie94Cg/Jb2FpxM3eBtDuTJ8unTHE0KIClwKz1H5+fkkJiYSGxvrmnGtUhwZkLEMsr6h9BZR+qIElP+Qi2McSHFZ8PS8v5R+OhVClMJms3Hy5EmPy2dnZ5Obm+v6t6bpMPqE4tuwA5qu7BZOepMPfrFd0JtKzmohhKiYUgqbrXJdvCpb/mKg6fRoDZpCJWYh1OKuvKAJKACrIYgAc3TFBf8S6d0OYzW1xBJCCHGJ0/uD/zCIfKaom7mhXlG3e0O9on9HPlO0XhJQ4iIk3fGEuMTZbDaysrIqVSclJQVfX19X/2ud3ojZrx6GJoEUpB+l4MxxHLY8NDT0Fl8sQbGY/CLRGS1oFcxiJYQonaZpZU7RW16dS5LJinZFH9TPX1c4448W1x4Cwy5QYH8z6byJDxzA9lMLsDvzyy3rb2pAfZ/26GXSBiGEEJ7S+xT9BYwFv/yibudK/T2WohAXKbkbEuISZ7fbq1Tn3J66mt6AQe+LLqwZluA4irugaGhoBpMkn0SFlFLgUKAD7ZIaw6j6+Pj4lDt2W2nlL63xoIpoRhM0bAaA2r4aCktJ8uj0aPHt0Vp2Q6tEq6nqomk6/E0NuCJ0ArvTPiffXvr7FmyJp0XwMCyGgAsboBBCiEuDJJ3EJUaSUEJc4qoym0R5D7U6nQHk13zhIaUUKt+OM9dGwZEzOAsdaHodpih/DAEWNLP+gieknE4ndrv9/9k78zi5qjJ/P+dutVdX70s6vSTp7JAFCISwg4CODIjiqIwK4jYjow4zKDqKCCrq4IDKqDP6E3QcRh0XxkFkBDQIkT0kJGRfOkvve1dV13KX8/ujkk53eqtOOkknOc/nU5C+95x7z711q+qe733f70symSSRSCClJBgMEolEME3zhIk6lmVRUVExKRHqoMHlqYiwAlC7CFFRj9y3Gbl/a06M0g1EWS1i1lIIhI97Gt5QdM0i5qvn3Iq/oTO1nZbka2TcfgQaYaucmZHzCJll+HSVpqxQKBQKhUIBSoRSKE55LMvC7/eTTo+fLjKUwsLCKSuFqjh98RwPtyfFwGst2G2JYf7N6S2d6EUBgmeWY1ZE0Kzjc73Ztk1nZyfNzc3DvM8A/H4/ZWVlVFZWnjCj72g0SjQaHVa5ZCyKi4sJBE6NamtSylFTC4VpgWnBvBWIujPIXUQCTAthTA8zdl0z0LUCZoSXUxqcD9JDArowMHXlAaVQKBQKhUIxFCVCKRSnOLquU1ZWxt69e/Nq7/P5KCgoOHW9ZhTHBel5uF0D9K/ejcyMXlXR7U4R/9Mewitn4qspQJg5IcrxXBzPA8DUdPQpikyybZv9+/ezf//+Uden02n27t1LMplkzpw5J0SIsiyLuXPnsnXr1nG93AoLC5k9ezamOXaxgOmO59pIN0u2vxU3mwChYYZKMAIxNN03LEJOaDoEpnc0kRCainhSKBQKhUKhmAAlQikUpzi6rlNeXk5HR0depd9rampO2fQexfHDS7sknt83pgB1qKEk+eJ+jPIQWeGSsDNs6G6iJ5NCE4JSf5hFRZUEdQu/ceSCi5SS7u7uMQWooXR1dREIBKipqTkhEYGBQIAFCxbQ1dVFW1sbiURicF00GqW8vJyioqITFq01FbjZJANtm8n07ke62cHlKUD3RwmUzsVXMAPN8J24QSoUCoVCoVAophw101QoTgN8Ph/z589n69atw1KQfD7foLGxlJLCwkKKi4tVKp7iqHHaE7j9mbzaGpVh+rwMf9yzg+3xDrwhpvibgefbd7MoVsFFlQ1ErCMz5rRtm9bW1rzbt7e3U1VVdUw/C1J6ID1A5CJ9huDz+aioqKCkpATHcfA8D13X0XUd0zRP6khFN5ukv/EFnIGu0den+0nsewXPThEoaUCbJml3CoVCoVAoFIqj59QrqaNQKEYghCAUCrF48WLmzJlDeXk5dbNnUTu/gXRRgL4CE7csiq8winvyzm0V0wQvbZPemZ+5tlEcxDmjiF9seYWtvW3DBKiD2J7Luu4mfrtvI3E7f2+zoWQymbx8lg6SzWbp7e09on2Nh5QSz05jD/SQbNlAYv9rJJrWkelrxrVTSO9Q5JimaViWRTAYJBwOEwgEsCzrpBagPCdLsmXjmALUUAZaN2EnO47DqBQKhUKhmL54ro1np/DsdO7/rn2ihzQmN910E9ddd92JHsaoPPzww8RisSnbXl1dHQ888MCUbe90QkVCKRSnCUIIfD4fZeXlmLEwL7Q3smXXJtKeg8g1wKcbzC0o47yyeop9oSnz4lGcXkgPvFR+N0hiboxn23bQ2t+LUTi+yfbO/k5e72ri3LI6DG1yEUr5pKIeTjKZHNMw+0jwPBc33UeyeQN2op2hTu3prp3ovijB8vlY0appHf2TdROk3X46BrbgyBSWFqY0MB9LD2PpoXH7em6GTF9TnnuSpDt3YoZKVFqeQqFQKE47PCeLaydJd+3CjrcjXRuhm5iRMvzFs9DN0JTfL0x0z/OFL3yBu+66a0r3ebLy8ssvEwqNf9+jGB0lQikUpxGelHSkE/xy92v0ZnOT8qE/NhnXYUN3M43xbt5ev5TKYBRNKCFKMTmEyL0mQgtbOEUWW15vzqs9wIbuZpYUVxOepAh1opHSw0310r97DZ4zejSXm+knvvdlQjOW4i+qRdOnlxDleln6sk3s6n2a7vROJN7guu09/0dxoIE5sSsIm5Xo2sjbCyk9Mr37wHPy3mc20Y7nZJQIpVAoFIrTCs9OM9C+hVTHdoaVF3bSuJk46c5dBEobCJbPRzOOzKpgNFpaWgb//bOf/Yw777yTrVu3Di4Lh49/AQ4pJa7rTjvP2tLS0hM9hJMWNbtUKE4jBpwM/7vn9UEBaizidprf7HmdpJ0dt51CMSq6hh6b+IbIrAizo7+DjOuAnt/PUVcmSWc6MXHDwwgGg5PuEw6HpywKSjoZEvtfHVOAGtKSZPN63Mzkj/FY4noOPZlGXmv/EV3p7cMEKACJS2dqC2vbHqI/uw9PjmJI73m46bEr/o2K9PCOMAVToVAoFIqTEc/JHhCgtjFMgBqGJNWxjYG2LXjO1N2vV1RUDL4OVss++Pf3vvc9LrjggmHtH3jgAerq6kZs54tf/CKlpaVEo1E++tGPks0eGqPnedx7773U19cTCARYsmQJv/jFLwbXr169GiEEv/vd7zjrrLPw+Xw899xzeJ7H17/+debMmYPP56OmpoYvf/nLw/oMtVJYt24dQggaGxvHPN7vfve7zJ49G8uymDdvHv/xH/8xuE5KyV133UVNTQ0+n4+qqio+/vGPD64fmo43UVvFcKaXnKhQKI4p+xI9tOc5ge/ODLAr3skZRTPQTmIPGsXxR7N0/HNLyEzgCyVMjT47J4hqPj2/8Ckgnp28KGFZFgUFBfT19eXV3ufzUVBQMOn9jIWT6sNJ9ebXWHqku3ah+yJo+pFXBJxKsl6cDZ0/x/HGF7CzXpINnT9nRcXf4Deiw1cKEEcSWam+fhQKhUJxGuFmkwcioCYm1bEdX1HdtErjf/rpp/H7/axevZrGxkZuvvlmiouLBwWje++9l5/85Cd873vfo6GhgT/96U/89V//NaWlpVx88cWD27njjju47777mDVrFoWFhXzmM5/h+9//Pvfffz8XXHABLS0tbNmy5YjH+etf/5pPfOITPPDAA1xxxRU89thj3HzzzVRXV3PppZfyy1/+kvvvv5+f/vSnLFq0iNbWVtavXz/qtibTVqFEKIXitCFpZ1jXla8XS471XU3MiZYSMlUqjGJy6BELc0YEu2mcyBcJutAQmkBYRt5iw2T9oABM06SysjJvEaq8vHzKwr49J0u6e9ek+mT6mghWLIJpIEJ50qVt4A2ybn5RTCmnm+70dipDy4aLTkJHD8Qmt3PNQDcnH8WmUCgUCsXJiOfaB+4ZxoqAOhyZ85WsPHPaPLiyLIsf/vCHBINBFi1axN13383tt9/OPffcg23bfOUrX+Gpp55i5cqVAMyaNYvnnnuOf/u3fxsmQt1999286U1vAiAej/PNb36TBx98kPe///0AzJ49e0Rk1mS47777uOmmm/jbv/1bAG677TZeeOEF7rvvPi699FL27t1LRUUFV1xxBaZpUlNTw4oVK0bd1mTaKlQ6nkJx2iCB7kxyUn16MgN5/wQqFEPR/CbhFdUYJWMLCG48S12kGC1i5R0FZQiN0sDk/QiEEMRiMWpqaiZsW1paSmVlJbo+Nb5T8ghSyqSTyTm8TwNsb4CWxGuT6tOUeJWsNzBsmRACX0EVYhJeV75o5aTaKxQKhUJxUuM52PH2SXWx4+3ISfgtHmuWLFkyzAZh5cqVJBIJ9u3bx44dOxgYGOBNb3oT4XB48PXjH/+YnTt3DtvO2WefPfjvzZs3k8lkuPzyy6dsnJs3b2bVqlXDlq1atYrNmzcDcMMNN5BKpZg1axYf+tCH+PWvf43jjH6eJ9NWoUQohUKhUBwj9IiPyMV1BJdWoEeHR9NpAQMjalEWi1ERLsg7CmpWtITgEYacm6ZJVVUVc+fOJRKJjFgfDAapq6tj1qxZWNYUCx9HlNI6TfLQJKSd8VMrDyft9AIjRTShW/iLavPbiNDxl8yZVikGCoVCoVAcWwTSza/C8EGk5yCOwz2DpmlIOfzxtG1PbqyJRM4W5Le//S3r1q0bfG3atGmYLxQwrPJcIDB+BWXtQEXvoeOb7NgOZ+bMmWzdupXvfOc7BAIB/vZv/5aLLrpo1O1Opq1CpeMpFKcNAiiwAhOakg+lwBr/C1+hmAg9ZBFYVIZ/TjFuIoOXcRGGhh71oVk6ni5YUVbPY3s3TBh1Z2o6K0rrjliEgpwQVVZWRmFhIalUioGBAaSUBAIBgsEgpmkO3shMFZpmoPsLsBMdeffR/dEj8086FgiOQEQTo2YSaLpJsGw+rp0i27t/nO464erlGJNN31MoFAqF4qRGInQTJixkcgihGcjjkLtQWlpKa2srUsrBwi3r1q0b0W79+vWkUqlB4eiFF14gHA4zc+ZMioqK8Pl87N27d1jq3UQ0NDQQCAR4+umn+eAHPzjq2CBX3a+wsHDMsQ1lwYIFrFmzZjC9D2DNmjUsXLhw8O9AIMA111zDNddcw8c+9jHmz5/Phg0bWL58+YjtTabt6Y4SoRSK04SAYXFm0Qz2JLrz7rO4qJKgMT3yy08E0naRtof0ZM5UWRNg6mjGNBEHThKEriGCGlpw5LWkAw0FZVxWNY8/Nm/DG+MmytJ03lKzmMpgdNT1kxqPEFiWNWhWfqwRukGgeBbprl15p9j5C+tyN6HTAkHIKCXr5l+xL2SWIsTo6YyaGSA8YzmZYDHp7kbc9BCfLqFhRcoJlDZgBIunjb+FQqFQKBTHBc3AjJThZvKvJmtGyhDasZ/WX3LJJXR0dPD1r3+dd7zjHTzxxBP87ne/Ixodfm+WzWa55ZZb+NznPkdjYyNf+MIXuPXWW9E0jUgkwj/+4z/y93//93iexwUXXEBfXx9r1qwhGo0OE4SG4vf7+fSnP82nPvUpLMti1apVdHR08MYbb3DLLbcwZ84cZs6cyV133cWXv/xltm3bxje+8Y1xj+f222/nne98J8uWLeOKK67gf//3f/nVr37FU089BcDDDz+M67qce+65BINBfvKTnxAIBKitHRnRPZm2CiVCKRSnDZoQ1EeKKbSC9GQHJmwfMX3MLShDmy7RGMcRz3bxElnS27vI7unDS+VCabWID199DP+sIrSQidBPv3NzLAgYJkuLq6kMRnm1cx87+juwPRcAv24yv6CM5aU1FPtCWPrJ9bMlPS8XJm/4iNSsINWxHWega9w+mhnEVzgTcQQG7McCSwtSFT6LnszuvPvMiJyDpYfGXK+bfgIlDfgLa3AycbzsAAgNw1+AZvrRDFUMQaFQKBSnH5pu4i+aRbozX3Nygb949nF5aLNgwQK+853v8JWvfIV77rmHt7/97fzjP/4j//7v/z6s3eWXX05DQwMXXXQRmUyGd7/73dx1112D6++55x5KS0u599572bVrF7FYjOXLl/PZz3523P1//vOfxzAM7rzzTpqbm6msrOSjH/0okIt0/6//+i/+5m/+hjPPPJNzzjmHL33pS9xwww1jbu+6667jm9/8Jvfddx+f+MQnqK+v56GHHuKSSy4BIBaL8dWvfpXbbrsN13U544wz+N///V+Ki4tHbGsybRUg5OGJnYopob+/f7Ac+OHqsEJxonA9j+aBPn65+zWSTnbMdgHd5Pr6pcwMFaJPcWrSdMfLumT39ZF4cT84o0etCL9B5IIazPKwEqKmmJSTJeM6DDg2moCgYeHTDXwnWUSM52aRTpZM736cVDdSSjQzgC9ahefZpLt2YcfbRvTTzADRupUYgSLENPrspZ0+Xm79dwaczgnbRq0ZLC+7CZ+hfvsUCoVCMXlOhXlUOp1m9+7d1NfX4/f7J9XXc7IMtG0i1bFtwraB0rkEyxcq/0TFtCDf6/7keqSsUCiOCl3TqAxG+avZZ/Fc60529nfiDkkP0oRgVqSECypmUx6InHYClPQkdlucxPP7wBtbn5dph/ize4hePhtznOpviskTMCwChkXsJA6E8ewUyfYtZLoakd5wQ8pUx3bMUDGhyjNIG34yPXsAEIYfX6yaQMkcdCs8rQQoAEuPcGbpu1jX/hPSbu+Y7YJGCYtLbsDSRxq/n6pIzwXHBilBNxCncQqzQqFQKI4ezbAIls8HcvcNo0dECQKlDQTL5ysBSnHSoUQoheI0w9B0KoMF/EXNYgacLLv6Oxlwsvh1k9nREkKGj6B5ev6YyYxDakP7uALUobYu6c3t6Cuq0Xzqq1SRw7PTJJrWkendh2YG0f05McZz0njZAYQQOAPdxPe9QkH9Kvwlc0C6OeFJN6etB5ImNCJWFWeVf4DG/mdpH9iI7R0qcmBpIcpCZ1AXvZCAUTRoWHqy43nesBLLhmEcqsCTzYCdRu7bDB37kdJD+MMwawmEYuAPTB9zeYVCoVCcVGiGn2D5QnxFdaS7dmLH23Pp/Qc8o/zFs9HNoBKgFCclauakUJymBA2LoGFR4g+f6KFMG9x4BqdzYr+sg2T39xNc6oISoRSAlB6ZviakaxOoWQr+ABmnH4nEpxcgMmnc3lay8Ta8bJJk6xtEZp590vgfaUInbJUzr/CtzI5dTl9mP47MYIoAUd8MTC2AoZ0cxzIRjuPgOA6dnZ309PTgui66rlNUVERxcTGGAG3ri8itL8GQiqMSkNtfgbJatLOuQhaUIvTp4e2lUCgUipMLzbDQDAu98kxkuYNAIJEIzZi2D60UinxQMyeFQqE4gN2cfyUSAGl7ON0p9MipMfFWHB2ek0UaOnZpITv6V9PevgFXZgDQhUVZ+AxqilcSjFWSatpAtr8Vz8mcNCLUQUzdj4mfgFF4oodyTLBtm/b2dvbu3TssCgqgt7eXvY2N1FZVUBIrRx+r2mH7Hrxnfop2ybuQsfJTJjJMoVAoFMcfTTdBiU6KUwgVJ65QKBSAlBLPHmNCOV6/MczLFacfrszS7u7ipebv0hJ/ZVCAOriuJf4qLzV/lzZvF/7qMwDI9O5F1QeZPjiOQ1tbG7t27RohQB3ETifZsf4VOtIe3rI3jb2xgX68V38PmfyjKxUKhUKhUChOdZQIpVAoTlmk5+HZaVw7hWun8Fx7zLZCCPTg5J8yaf6RAaXSziLTydzLHrsKoeLUQUpJT7aRN9r/G0+OLl4ASFw2d/yafjrxFdXiZdMwVjTNZMfguchUAtm5H7lvK7J5JzLRi8ymp2T7pwPZbJbGxsaxG3gepHOi0u6tm7BjlRAtGbt9+x5I9k3tIBUKhUKhUChOYlQ6nkKhOOWQnoPnZMj2NZPp3YfnZEBomKFi/MWz0K3QqClQVnWU5LoWcPOLTNHCFnph4NB+00kY6EfueA0Z7wYkIlQEc5ZCOIbwh6boCBXTjayXpLH/OSTuhG0lLrv7VrO0+D14vR3A0adqyVQCuWcjctd66Gk7tMLyI2bMg/kroKAUoauf/bFwXZe2trbxI9OkB05OWPZcl/b2dqprFiE2PjNGe4nc9TrEytS5VygUCoVCoUCJUAqF4hTDc22y/S0kml5DOplh69x0H+mu3fgKZxKqOhPdDA5bL/wG1owo2b35RS746mJoVs50WMZ78F79P2jenivVfgDJbuSutVBej3bOmyFSqCpmnYKknV56Mo3kBKWJRcye1G7SMkGkcCZCO7rrQQ704730W2jaPnJlNo3cvR7ZvA3t/OuR5bVKDBkD13Xp7u4ev5H0hn2+u9paqVw4H2MsEQognQDXAXXeFQqFQqFQKFQ6nkKhOHXwPAc73kp870sjBKhDSDI9e0nsW4trD09T0nwGwaWVaOGJy90aJUH880oQhoZM9uE99wto2jZsgnpolxJad+H96eeQ6J38gSmmPf3Z/SCYRLUaSV92H4Y/dlT7lZkUcv0zowtQQ8mk8P78a0j0HNX+TnVse+yU3RzDo9YcOwsTlcfWNFDG5AqFQqFQKBSAEqEUCsUphHRtEs2v5+Wxk+1vxk60j0i90aMW0UvrMUqDo3cUubS9yIW16CEr5/+0+QXobpl4gH0dyI1rlEfPKYgnXQTiQJpnfoKDpwnQ9KPbcWYAuWfD+G10A6oaEDULkP1dSHdsz6rTHW2iqDRNG/aeaZqWi3Iaj9IaVdVIoVAoFEeM4zhks9nB11iFMxSKkwUVG65QHAu8LOACBmhq8nE8kFJiJzrwssm8+6S7dmGFyxCmf3CZ0DT0mJ/oJfW4fWnS27txk9mccXmBD39DMVrIOmRIbqeRe9/If5z7NyPOuBAs/8SNFScNfiOW+4dmoFsh3GyS8dLyNNNPyCpFOwoRSrpOzm9oLBHE9CFnLyNVs4AOO03zQD9udoCinhZqo6X4dQNLpYgNIoQgGo3S0dExTiMNrEAuxQ6IFpWg9Y/T3hdEzGg46pRLhUKhUJx+2LZNJpOhtbWV3t5eXNdF13VisRgVFRX4fD5Mc+rnGTfddBO9vb08+uijU75thQKUCKVQTB1eFrwkZLZC+nWQNmgRCK0CoyT3b+UFdMyQrk2md/+k+tiJDqQ30khaCIEImGgBE70oCO6ByCpdG/SAGqSzCVKJ/HeaTSPbdiPCyyY1VsX0psCqxq/HSLu9oJsY/giek8FzsgwVo4Ruohk+/GYRhf5ZR7dTJ4vsbRt9XSBMZsVb2eravLLzFdqHpuHFSgn7wiwsrODcsnqiShAFwDRNKisrJxChBMIfRGZT4LlUVlaibVo9dvN5K5TgrFAoFIpJk81m2b9/P83NzSOi9lOpFK2trVRVVVFdXY1lTWwjMZ3JZrMn/TEoJoeaESsUU4GbgORz0HY3dH4LEqshuQbiT0DrndDxLcjuAm8ivxHFESM95KTPr0R644c0a5aOdkCQGiFAATIVn+Q+gYEj6HMq4Dng9h56eadOWqKpBak8ICwKQAgdzQxg+KMYviiGL4LhL8hVZtRMKkNLMLTA+BudCMnoqae6Seact/BKqp/Ht784XIA6QMLJ8FLHHn6z53X6VXroIMFgkOLi4vEbaToiHKOsuhY/DrTvGbWZmHcuouEshDmyEqdCoVAoFGNh2zb79++nqalpzIqtUkqamprYv39/Hn6GU8fGjRt585vfTDgcpry8nPe+9710dnYOrr/kkku49dZbufXWWykoKKCkpITPf/7zw46jrq6Oe+65h/e9731Eo1E+/OEPA/DLX/6SRYsW4fP5qKur4xvf+MawfX/nO9+hoaEBv99PeXk573jHOwD48Y9/THFxMZnMcD/Y6667jve+973H6lQojgIlQikUR4s3AMlnoPv/gTNaVIKEzGZovw/sRpATl3BXHAFCILTJB3eKoelQXgacbsg2QmYn2K3g9o+/gSPxejFOsxRNLw12O8Qfh477oe3L0P516P0ZZPfmRNzjgPRcXDuNZ6dx7dSBKKWpQddMaiIrKfLPHlwmEAihITQdoRm5fyMo9NVTF70IQzvKp366gQhERywWM+ezTxM8u+f1kX2EGBaRuSfRzXOtO0i7SiCHXDTU7NmzKSoqGruREBRXVFK/6EyM3jYIRA6t0zSomoN28V8hzrgQ4Q8d+0ErFAqF4pQik8nQ3NycV9vm5uYR4suxore3l8suu4xly5bxyiuv8MQTT9DW1sY73/nOYe1+9KMfYRgGL730Et/85jf5l3/5F37wgx8Ma3PfffexZMkSXnvtNT7/+c/z6quv8s53vpN3vetdbNiwgbvuuovPf/7zPPzwwwC88sorfPzjH+fuu+9m69atPPHEE1x00UUA3HDDDbiuy29+85vB7be3t/Pb3/6WD3zgA8f2pCiOCJWOp1AcLXYL9PyUCcuye/3Q9f+g/A7QY8djZKcVQjexohVk+5ry7mMEi3LClWfnBMTEH2Hg+VyUDgA6+M+AyOXgmwt6ZMQ2REk1UtNhlLS+0QcqEGW1eY/xpMdN5s5pz3+BTA1fl22E+FMQuQwKrge94JgMwXNtPDtNpqeRTF8z0s2C0DCDxfhLZmP4owcMxY8Ov1HAGSV/xY7eJ2lNrseVw0UuXZiUB89gTuFV+I2jP1ZhWjBnKXLn2mHLU3WLeLVt1+idLD+HG6dv7m3l/PJZ+JV5NgA+n4+Ghgb6+/tpbW2lr68Pz/PQNI2CggIqKyuJRCJYloWcexaibhFkBsB1wRcA04/wj1HYQKFQKBSKcXAch5aWljEjoA5HSklrayt1dXUYxrGd2j/44IMsW7aMr3zlK4PLfvjDHzJz5ky2bdvG3LlzAZg5cyb3338/QgjmzZvHhg0buP/++/nQhz402O+yyy7jH/7hHwb/vvHGG7n88sv5/Oc/D8DcuXPZtGkT//zP/8xNN93E3r17CYVCvPWtbyUSiVBbW8uyZbkI9EAgwHve8x4eeughbrjhBgB+8pOfUFNTwyWXXHJMz4niyFAilEJxNLgDuUk0eQoQ9t7cxDuw9BgO6vRECA0rUolm+PGc/NKL/EX1CF3L+Xh1PpgTCofhQnodpNdD5GoouBb0wyJP/CGonAVN2/MbaFkthI6N2HK0SCkZcLLD5FS/bmAcqXm2l4KBF6D7IcYWaV2IP5nzUIu9e1Sh72jwnCzpnj0kW14fIRRmskkyvXuxCmYQnrEM3Tp64cBvFDCv8C3MKriUluR6knYuOjJollIZWoqpBbH0KRQoQjEor4O2xtzfsTIGfAH29IxSrVEI8AVz0TpDSLsOW/vaWVFaixD5VfY71bEsi5KSEgoKCvA8DyllzitOiGG+FcKwwLAgODIiTaFQKBSKyeJ5Hn19fZPq09vbi+dNXBn6aFm/fj1//OMfCYfDI9bt3LlzUIQ677zzht1PrFy5km984xuDxuoAZ5999rD+mzdv5tprrx22bNWqVTzwwAO4rsub3vQmamtrmTVrFldffTVXX301b3vb2wgGc/dUH/rQhzjnnHNoampixowZPPzww9x0003qvmaaokQoheJokBlIvTq5Pok/gTUH9JFf4IqjQ9MtAhULSe5fO2FbI1iMFZuBcNrHEKCGIiH+u5xAErkatCHV9PxBtAUr8dr2wETpXbqBtmBlTgiYRkgpSToZ9sS7WdfdRGcqgYckbPpYGKtgYWElYdOHOVkxykvmUu4mihKEnI9aaBXoiyY9fsfL4ngpEnYbjpfG1AKEzDIM4cOJd5Bsem3c/tm+JhKeS6RmBZp59CbSph7E1IPUF1yMK3Npbrow0cSRV8IbE38I7eyr8Z75KSR6wReiLzOAN9oT1EBkzFTQrnQCR3qYx2KMJzHHouqQQqFQKBTj4bqTs+6YbPsjJZFIcM011/C1r31txLrKyspJbSsUmly6eiQSYe3ataxevZrf//733Hnnndx11128/PLLxGIxli1bxpIlS/jxj3/MlVdeyRtvvMFvf/vbSe1DcfxQIpRCcVTY4E3Sz8btJe/IKcWkELqBPzYTPJdky4bRTZsBM1RCpGYFuiah/6kJBKghxH8PoQuHiVAAFFchVl6LfPF/YSyTZ8NCrPgLKKuZVk9lPCnpSif4zZ4NtKaGn4cBJ0t7Ks4L7Y28ZeYiZkVL8Ol5/mxIFwZentznI/4UmLV5C7Se9Eg73eyJP09bcj0Z95Dhu08voCJ4BjP8S7FiM8n27ht3W9l4K9lkO76CmVP2/mhCPzbC0xCEEMhoMdrF78Zb/zS4DiNGrxsQCIPpH6dCpxjZT6FQKBQKxXHnYLTQsWp/pCxfvpxf/vKXE6b+vfjii8P+fuGFF2hoaBh3nAsWLGDNmjXDlq1Zs4a5c+cO9jMMgyuuuIIrrriCL3zhC8RiMf7whz9w/fXXA/DBD36QBx54gKamJq644gpmzpx5pIeqOMYoEUqhOCo0cv4q+eVtA+NMAhVTgWb48BfPwoqUk+reTbavGelkQOiYwUL8xbMwQyW5iBenC5IvTrzRg7i9kFoP4UuGvY/CsKBqDuJNNyN3vobc8wYcrJrnDyFqFiLmLINIUa7tNKI/m+JXjevoTCfHbJN2bX6z53Wur1/K7EgJmpbHNewlJh8lmN6YS8vLAyk9knYb69p/woDTOWJ92u1jd8/TtIpXWFb+fkzpYveNb/KZ7W/FCJfhChvPc5B4aMJE1yzMw4XHaYTQdIiVop37l2CniUmJHgjjSgmmLxf9JLRcOt4YlAciR552qVAoFAqFYkrQNI1YLEYqlZq48QFisVh+92aToK+vj3Xr1g1b9uEPf5jvf//7vPvd7+ZTn/oURUVF7Nixg5/+9Kf84Ac/GBSL9u7dy2233cZHPvIR1q5dy7e//e0Rle4O5x/+4R8455xzuOeee/irv/ornn/+eR588EG+853vAPDYY4+xa9cuLrroIgoLC3n88cfxPI958+YNbuM973kP//iP/8j3v/99fvzjH0/p+VBMLUqEUiiOBmGAOQPs/fn3sepATN8J7amApptogRjhijOQZQuQSCDn5zLMgNrtAW9yefdktkJoJYjAsMXCMCFWCmdegli4EhwHkLnqeaYvZyI9zbA9l7Wd+8YVoA7iSI9nW3ZQGSwgrOVh4i1lzhMKAA3888GYgRQmQqYhsx3sw6KTvAEgP0+DjJtgQ8fPRhWgDgwAz7VJeC1s6Pgpy8rejx1vB88ZtbW/dA7EStkd/xOtyfWD2zW1IGXBRcyMnEvQLMHUAqP2nw4IfxD8QQJ2llkVs9ne1z6u8HSQoGHRUFB6HEaoUCgUCoViPAzDoKKigtbW1rzMyYUQVFRUTLkp+erVqweNvw9yyy23sGbNGj796U9z5ZVXkslkqK2t5eqrrx4mgr3vfe8jlUqxYsUKdF3nE5/4BB/+8IfH3d/y5cv5+c9/zp133sk999xDZWUld999NzfddBOQE9p+9atfcdddd5FOp2loaOC//uu/WLTokI1DQUEBb3/72/ntb3/LddddN2XnQjH1KBFKoTgaRBhCF0DvT/PsYEDoEshnEq84aoRuIMZLH5OHCRJaFILngDU7l3Ins2C3QuplsJuG9Bn7pkCYFkxDwWk00o7NG6MZWI9BS6qfrnSSsJnn9SsCyNDFZIPnkpIOHantuG4Wnx6jtPB9WG4vVvJZSL9+oP3Iym2jIaWkJ7ObuD3O2OXgf+hNN9KfbSIUrSDTO1Iw9pfNJR3WWd/8bRxDIoZEudneAE2Jl2lOrGVe0V9QFVqOqU9fIQogaFqcXVrLznjn6N5Qh3FmURU+VRlPoVAoFIppgc/no6qqiqamiSs+V1VV4fNN7bzi4Ycf5uGHHx5z/a9+9atx+5umyQMPPMB3v/vdUdc3NjaOuvztb387b3/720ddd8EFF7B69epx9wvQ1NTEjTfeOOXnRDG1KBFKoTgaNCMXFZN4GpyOiduHVh6zMvSKw5DeAT8iL6dFaBZohxmCG+W40bcDJpqvBqFHIfUS9P8a3HhOLPQvhsL3gtsFvb888P6dGhP23myKfju/SoIH2dLbSnUohj5R2LcWwom9kx67nV2dv6Q3vY2h4t2ObpOS0FLmxP6CkFGBlvg9+OblogsnIOslaYq/PH4jMfgfAPYlXmRhwZvhMBHKCJXgRiOsa/keGacPwxj98ylx2dr9GIbmpzK4BE2b3j+fVaECrqiaz1PNW8YVouYXlHNuWX3+Xl8KhUKhUCiOKaZpUl1dDUBzc/OoEVFCCKqqqqiurlZFNICenh5Wr17N6tWrB1P4FNMXddepUBwtehGU3Aod38oJFWPhXwqxv5ryEvSKw/Bs8OKQfgOSa3Ipd8IAswYil+eEJ4I4jkNvT5r+3lqksPD7LEqLNAxKMb0ByGzKbS/1GvT+HAquh+IPgV4M2qnxY58dIzVtPGzPxZWSidyDHCQdToKNrf+GJzMj1nvSpj3xMv3pXSwt/whRL4EInQd6PqXuJQm7fYI2Ak03cb2cx1Qi04ooHJkGa8Qq2R1fQ8bpQ2gG40ViSTx29z1Dib8Bn5bPOE8cft3kjOIqCiw/L3XsYW+i50Baao4Sf4gzi2ZwRtGM/CPbFKclUsppVUxBoVAoTgcsy2LmzJmUlZXR2tpKb28vruui6zqxWIyKigp8Pp8SoA6wbNkyenp6+NrXvjbMJ0oxPVEilEJxtAgdrFlQ/tlcda+BF3LCx0Gs2RC+EIIrQI+dsGGeFngZyGyD7h+MjEzL7obMZuzC22jt7KK5pY1sNpvrI1Ngt7JP0yguraO27g78+vcRydW5vjIDvf+V+3fh+4/rIR1LfEcQzePTDfQ8JqQZt49NXb/G0wLgjhShDpJ2unij8784q+Kj+IyiSYxkfO8oATk/LjtXOEDijZhIa4YfEYrQsn/dgb99E3ooJe02+rJNlBnTW4SCnBDVUFDGjFCMuJ2hPRXHkx4FVoCSQJiAbiozcsUIXNcjY7t09aTp6BlASkkkbDGjNIJpalimumYUCoXieGCaJqZpUldXh+cduu/RNG3KPaCminxS5o4FY6X4KaYn06pM17333ss555xDJBKhrKyM6667jq1bt45o9/zzz3PZZZcRCoWIRqNcdNFFwyoIdHd3c+ONNxKNRonFYtxyyy0kEsPLhL/++utceOGF+P1+Zs6cyde//vUR+/nv//5v5s+fj9/v54wzzuDxxx+f+oNWnBoIHcxKiN0AFfdAxV1Q9lmovBfK/gHClysB6lgjXcjuhI4HRk+NFEHsgg+xZ28TjTteIpsZOLBcB6cbkHieS0fbTja/sY50+EPgP3NIfwOSz4IzfoW140k649AXz9DY1MfOfb20dCRIpW1cNz9z7wJfgEJfcOKGQ1gQq5gwFc/1bJoSr+DIbC6yaYIU1LjdSr+byj9VVYI/n7ZCoJs5/6aAUYjnZoet1n0RBrId2G4CoZsIzczDkQq6UtvwpJvfWE8wQghCpo+KYJQzi2ewtGQm9dESIqb/mAhQ0s4iB/qR+7fh7VqP3LsZmehBZieX9qk4MaSzDtv39vLU83v406v72Lyriy27u3l5Qyu/e3YX6za3k0zlV8FyKI7nkrAz7Ohr57mWHTzbsoPNPa3E7TS2d3J8lhQKheJEYRgGlmUNvqarAKVQ5Mu0uoKfeeYZPvaxj3HOOefgOA6f/exnufLKK9m0aROhUAjICVBXX301n/nMZ/j2t7+NYRisX79+mCP/jTfeSEtLC08++SS2bXPzzTfz4Q9/mEceeQSA/v5+rrzySq644gq+973vsWHDBj7wgQ8Qi8UGnfv//Oc/8+53v5t7772Xt771rTzyyCNcd911rF27lsWLFx//k6M4OdD8udekIjoUU4IXh56f5qKaRkEGz6GnX9DStO1A+2TOiNxLHQibMXJCFpJkoovGxt3MqfkrzPTroAVyaXjChPjTYNaCHjpeRzYC23Hp6k2zZXcXLR1JPO9QmlUkZFFfXcCcmTEC/vFDtAO6yeLCSp5t3ZnXfmeEYsTyEK0cmaY1ecBsHD0nwGqh3HvkDeT8uoTIGZHrURAWTYlXKfDVYekTb9/Ug1SEl9HXPX5VSoEAw0IDqiJnI/u6hzfQNFxpI3QT3QzmnXLkSQeJlzu2vNp72F4yVzFQgIaBmcdxnkxI6UGiD7n1JeTeNyCVe/AjASw/YsY8WHAeREsQuoqkmY5ksg6bdnSyeVf36Ottl+17e+hLZDh/2QxCgfxSQAbsLBt7mlnbuY+uzPBKnAVWgDOLqlheUqPSQhUKhUKhOE0QMp/ajyeIjo4OysrKeOaZZ7jooosAOO+883jTm97EPffcM2qfzZs3s3DhQl5++WXOPvtsAJ544gne8pa3sH//fqqqqvjud7/LP/3TP9Ha2opl5apY3XHHHTz66KNs2bIFgL/6q78imUzy2GOPDW77vPPOY+nSpXzve9+bcOz9/f0UFBTQ19dHNDr90zYUiuOF53jIrIuXzCIdD2Fq6EEL4dMR+lEEZ6a3QNs9jF65TpAt+ixbtu2jr7ftwCIfGOXgdII8EBUlJbk0L4mm6Sw7+2KC8QfAaSUXOCpyYkrl18EoPPKxHgWO47K/LcELrzfjumN/fVeWhjjvzCqCE0wU+7IpfrHrNVpT/eO2szSdd8xaRm24GG0CsSbt9PGn/V9DcniEQ+7c5l4Ht5ETJKJWNcvLbsJn5OeZlnJ6eKHlQbJuYsK2Pj3KuRV/i+xuI92zB+lmQWj4C2vJxkK82PbdnGCVJ/UFl9IQu3JYFb3RcD2brJekY2Azrcn1ZNw4QuhErUqqI+cSMsvw6eG89+tJF9sbIJFtJ+nkPLHCZgUhswRTC6KJEyfuyL5OvGf/G/rGKdAQCKNdeAMUVyFUGuC0QkrJnuZ+1rw2cSUmgNkzYyxfWD5hat6Ak+XZlh280rl33HbzCsq5euZCJUQpFArg1JhHpdNpdu/eTX19PX7/SE9KheJUJN/rflql4x1OX18fAEVFuaiS9vZ2XnzxRcrKyjj//PMpLy/n4osv5rnnnhvs8/zzzxOLxQYFKIArrrgCTdN48cUXB9tcdNFFgwIUwFVXXcXWrVvp6ekZbHPFFVcMG89VV13F888/f2wOVqE4xZFS4iaypDa20fd/2+n73Xb6n9xJ3+Pb6XtyB6lN7bjJ7MQbGg3PhuSfGV2AAsyZ2F6Ivt4hZtYyk4t8GiokCJFLzxMGnhR0dHYjA2eTE0oOiBRekon8iI4lfYksL77eMq4ABdDSkeT1bR1ksuObj0dNP2+rW0JNeGxRLWL6uL5+KTOCsQkFqPHRyJ1L48D/D01gBWI8T/ARWFqYxcU3oIvxJ62GFmBxyTux9Aj+0jkUzL6YwrlvItZwGYHSuQStYiJmZd77FehUhpZMKEA5Xoau9A5eaHmQzd2P0pPZzYDTSdJuoyW5jpdb/42NnT9nwB496uRwsm6CffEXeaX1B7zS9u9s7nqUzV2P8nLr91jb9hDNiVfJusmJN3QMkKkE3ouPjS9AAaQSeGt+PRglNS6ek/tcK44LmazLjr09Ezc8wN6WfrL2+Gl0nuextbdtQgEKYGtfG6927FWpeYppz4CdpSOdYHtfO9t622gb6CdpZ8atQqpQKBSK4UyrdLyheJ7HJz/5SVatWjWY/rZr1y4A7rrrLu677z6WLl3Kj3/8Yy6//HI2btxIQ0MDra2tlJWVDduWYRgUFRXR2toKQGtrK/X19cPalJeXD64rLCyktbV1cNnQNge3cTiZTIZM5pD5bn//+FEFCsXphJQSty9D/E+NuL0jvWHcvgwDr7WS3ddP5MJa9Mhkn4bbuTSvsdDDZDMpRopUHuNp8Zl0Gk9EDku6MpmUWjIBnu2CkxO1hKEhxoksyNou2xq7cfL0fNrT3MeiOSX4rLHbCCEo8oe4vm4pbak4azv30ZFO4EmPiOlncVElc6JlBI38TayF0AiZpSTs0b8vRyNklaGRf4UXXTMp9M9iWdn72dn7JD2ZRoa/v4Ii/yxmx66gwKpGP2jCfpgZu+npVIWXs60nP8+/4sAcfBNU8POkS2+mkdc7HsGVYwurnamtbOj8GUtK34PfGNvjKusm2N77e/bHXxx1fX+2iTe6fknS7qC+4BKs450q2tsOHRMLDQAke5H7t0LDWSOjobx07nOcWp8rJIDMee0FzwYRhlMshXE6kco4tHeN8x16GLbjsa81zoJZxWNv07V5rWtf3tt8vbuJ5SUzMS0VJaeYfqRdm6ZkL6907GV3vBP3gOgkgJnhQpYX5/z2gsY4P7gKhUKhAKaxCPWxj32MjRs3DotyOlgV4CMf+Qg333wzkCvH+PTTT/PDH/6Qe++994SMFXKm6l/84hdP2P4ViumMTDsk1uwZVYAaitM5QOL5fUQurEXL028khw7aODd+0kNoowlHGoix+wkhDvhEDcHfkIuWOkq8lI2byJLe0YUXzwkVetSHv6EYLWiOevy247G/LZ73PhxX0tjUx8I5xROaiYdMH7NMH5XBKK70OBCbRMAw0SaI+jkcUwSpDC9je8/v8uwhqA6vwNQnF65uaBZF/nrCZX9NyummfeANHC+NofkpD56B34hhaaFxvZ40TacytIyu1Ha60tvH3Z9PL6Ch8OoJRR7bHWBbzxPjClAH6c000jrwOjWR80dNp3M9h+bEa2MKUENp7P8TIbOUqvBZxy01T2ZSyB1rJ9dn9+uImoUQGJKK6PZB/P8gsRrc3uEd+n6dqy5acD0YY4seiiMnmbLHiiMdk3gii+t66GOkUXdnBmgZyP+BXL+dZl+ih4VF+UcmKhTHg7Rrs6Grmaeat4yIeJLA3kQPexM9rCyr57zyeiVEKaacjOsMixQ1NR2fPm2n8QrFhEzLq/fWW2/lscce409/+hPV1dWDyysrczcmCxcuHNZ+wYIF7N2bewpbUVFBe3v7sPWO49Dd3U1FRcVgm7a2tmFtDv49UZuD6w/nM5/5DLfddtvg3/39/cycOTO/A1YoTnHstgRO1+iG4SPatiZwetNYkxGhNB8ElucmsKPhduELh9B1E9c9mOJjHki9C4CrMVqKXSQSQfM2DF8YuiRnaH6ESCnx4hkSL+7HbhmelmS3Jkhv78KsihJeMQMtbA0TUNIZh6w9uVTA3ngG15UMmyd6mVxaodsHuKCFQQuCHiUwBTfPmqZTEVzC3v4/k3H7Jmxf7J9D0Cw5on0JoeHTw/j0MAXWTKR00bTJ/bT5jSiLS25gW8/jtCY3jOJlBQVWNQuLrydslI+yheEk7Dbi2fyrKDYnXqUyuHRUPyzHG2B/4qW8t7Uv/gKlwQX49Py8tY4az0X2d02uT38Xw6LW3D7o+Qkk14yxjyQk/gh2C5R8TAlRx4AjyrIVjBsU2pOZfHpoRzqPVE2F4jizL9EzqgB1OM+37yZi+llWUn1Mqo8qTj9Sjk1/NsVrXfvYHe8m6zpYukF9pIhlxTOJWgECxmQe2ioU04Np5QklpeTWW2/l17/+NX/4wx9GpMzV1dVRVVXF1q1bhy3ftm0btbW1AKxcuZLe3l5effXVwfV/+MMf8DyPc889d7DNn/70J2z7kN/Ek08+ybx58ygsLBxs8/TTTw/bz5NPPsnKlStHHbvP5yMajQ57KRQK8NI26e35+d4cJL2tEy8zvpfRCKzZYFSNvs7pwHD3UFRySNRGCx2IaNJHFZUsK0BhYQEiNSTKwzcPAouPcMaWw0tk6f9j4wgBahAJdlM//c804iWP3hNHIhmsP+HZkG2C3p9B6+eg9Z+g9U5ovh06vwMDL4Obf6TVePj1KGeWvgtrAuPtiFXFguLrJmXQPRZCiEkLUAfxGwXML/pLVlZ9nNroBRT7Gyjyz6IytJSzyz/EsrKbiFiVaBNMLFzPpjW5flL7jmdbyHijn/f+bDNJu33UdaO3byJpd05q/0fHQaP5yXSRh7pIF5IvjC1ADSWzBfp+k6toqZhSIkELfdRo0bEpKvBPEGE5dWnLCsWJImlneLljT96eT6927iXtTvL+RaEYhaSdYU3rTn649Xle7dxHdyZJwsnQnUnyauc+frj1eda07iRpZybe2CS56aabEEIghMA0TcrLy3nTm97ED3/4w8HMJIXiaJhWItTHPvYxfvKTn/DII48QiURobW2ltbWVVCp3wymE4Pbbb+db3/oWv/jFL9ixYwef//zn2bJlC7fccguQi4q6+uqr+dCHPsRLL73EmjVruPXWW3nXu95FVVVugvqe97wHy7K45ZZbeOONN/jZz37GN7/5zWGRTJ/4xCd44okn+MY3vsGWLVu46667eOWVV7j11luP/4lRKE5mJDi9k5s0uj1pmMB4ewRaGGLXAaOLBGb6OaqqZqDrBmCBHgFEzphcLwBtuCdPxYzZGNmNcFAc8M2D4o+CHpvcuIbgZV0GNrTh9o2flgjgdqdIb2pHDjH/9Vk6uj65iV0kaGHoWk6AymyFti9B/InDUp5cSL8OHfdD36/APXpPO03TKbBqOKv8FqrCZ2GI4al2fj1GXfRilpW9j+A0iWyx9BARq4KG2FWcUfouzix9DwuKrsv5QBmRCc3IATwcHDn5G0LHG/2aiGdbJrWdQl89Fn7cTIJU5w4SLRtItm3GTnbh2mmmvCCu0CA4tp/VqIQKDgm5bnzsCMbRGHjxQHEAxVTis3QqS/P3Egv4DKpKxxeOi/2T9yarCKoHeIrpRcLJsCee/4O0rkySloGJI4AVivFIOTbPt+3mxY5GvDEe9HhIXuxo5Pm23aScqS/kcfXVV9PS0kJjYyO/+93vuPTSS/nEJz7BW9/6VhxHCa2Ko2NaiVDf/e536evr45JLLqGysnLw9bOf/WywzSc/+Uk+85nP8Pd///csWbKEp59+mieffJLZs2cPtvnP//xP5s+fz+WXX85b3vIWLrjgAv793/99cH1BQQG///3v2b17N2eddRb/8A//wJ133smHP/zhwTbnn38+jzzyCP/+7//OkiVL+MUvfsGjjz46aJKuUCgmgTe5ia+UcvIP0TUT/Mug6KbRfZ7SGwhpO2mYdw66vxLEkIgZoefEJaMKtDAVM+ZRWRZCH/g/8C+E4o9B6SfAnDgVazxk1iG7N/+b0/SeXrzsEA8AQ2dGWf5pVpomqK+O5TxbnDbofBC8CfYf/z9IPJUziT5KdM0galUxv+gaVlZ9gqWl72VxyTtZXnYz51Z+jDmxKwgYheN6Np0IdM06kOIXwdQDk+qroaOLyYfGD63yJx0757WUTRMxK7G0/KLEqkLLWRB5M9mWbfRs/T2J/WtJtW1moGUDvdufJt74Z7LxVjx36m5WhT+ENnvp5PrULgbrgCjptIK957AGwZzo6z8TfPNzUYsH8fpzgqliSvFZBnPritDyjIaaXRPDHKeIAkDMClAdiuU9hkJfkKrQJAVNheIY05lKjCkCjEVTsvfYDEZx2tCXTfFyx56JGwIvd+yh3576CGGfz0dFRQUzZsxg+fLlfPazn+V//ud/+N3vfsfDDz8MQG9vLx/84AcpLS0lGo1y2WWXsX79oWjwu+66i6VLl/If//Ef1NXVUVBQwLve9S7i8UPR3/F4nBtvvJFQKERlZSX3338/l1xyCZ/85CcH2wghePTRR4eNLxaLDY4DYN++fbzzne8kFotRVFTEtddeS2Nj45SfF8XUMK08ofJ9QnvHHXdwxx13jLm+qKiIRx55ZNxtnHnmmTz77LPjtrnhhhu44YYb8hqTQqEYGy1g4mbyL709OVPyIeghCJ2fm8AmnzmQXtYL6GDVoBs+ikpmsDhUQXNzM93d3bjugXEJnWhBIZUVZ1BYWICppcH/hZxApUWPKgXvIHZrApnN/zzIlIPTOYAeyolqPkunobaQfa395PN1OaMsjN/Sc4JS4uncBD4f+n8PoYtBm5xR+FiYWgBTCxA0i6Zke9MZXbMoCy6iKfEKlhYiaJagCQPXyxC3W/HkyKeHIbOUgB5DphIQ70bufh2ZGUDoBoWlVZxb/l463EZ2Jv6EPUYUUGlgAXWBc+ne9TSWa2KIkRUm7WQn9u4/E6k5Gys6A22qTE1LqyFaAv15pAFafkTdYsTBfTtD+pgzcPwXkDWXE0/aZG0X09CJxiwsex1G+lmw90G2JZfSN83Ey5Od4liAsxdW8MqmVrxxHhzUzyhgbl0RpjH+c8yAYXFWSQ3785yQLy2uJqArbxPF9CLfNLyh5Ip7KBRHRsZ1WNe5L2/x00PyWud+Lq2ae8zNyi+77DKWLFnCr371Kz74wQ9yww03EAgE+N3vfkdBQQH/9m//xuWXX862bdsoKsrd8+3cuZNHH32Uxx57jJ6eHt75znfy1a9+lS9/+csA3HbbbaxZs4bf/OY3lJeXc+edd7J27VqWLl2a97hs2+aqq65i5cqVPPvssxiGwZe+9CWuvvpqXn/9dSxLFQuYbkwrEUqhUJx6CEvHVxtjoLc17z6++hjCd4RfT1oArGow3gHRv4ADld4QGmgRdKERNSEQCFBbW0s6nUtRsiwLy7IwTfNAZM7kImDywRuYfASKlxrep6jAz9L55azb0jauEFUY9bNsQTl+nwFOfy6NKe+d9kNqLYQvz503xaSIWTXML7oBv1FFTyaJ7bkEDR+1hqA3vZG2gdeHGbYvjP0lZm8P3qu/h879g8slwO71OEaW0gWriNa9g/X9vyZzWLqkQKM+fAF9e1/EyyTRzNKxByddEvteJdYQQwtMUdSJL4S28i/x/vRzSI1jLG1YiPOuHV4V78D1JQMrSPrfzo69/TTu20Zy4NBT3WDAT211HQ21Swhn/xchdCVAHQMsU6duRpRg0GRbYzetHYlhQaxFBX5mz4xRUxnNfa9MgCYEs6MlXFgxm2dbd47bdllxNUuKlJmzYvpR4Jv8vcCRpKIqFAexPZfdicl5qTbGu7A997hUzJs/fz6vv/46zz33HC+99BLt7e34fLkHX/fddx+PPvoov/jFLwYzjDzP4+GHHyYSyUXyv/e97+Xpp5/my1/+MvF4nB/96Ec88sgjXH755QA89NBDgxY6+fKzn/0Mz/P4wQ9+MBhd/9BDDxGLxVi9ejVXXnnlVB2+YopQIpRCoTimCF3DN6uQ1KZ2ZB6V3bSAgVVdgJikSe7IDfmAkdEgBzFNE9M0CQSmXmwaCzFB5EA+fSxTZ87MGAGfweZdXfT0pw9br1FdEeWMhhJCByPK3J6RZe8nIrMNQhfkqgcq8sb1PPodeKPXYG3HM8TtQ5FLlcEilpfUs6T0XOx0B8IT+I0YITeAt/GJYQLUQQQaRtYh8+r/YmWvZPHca1jb89NhFfyK/LPRbJd0vCmX3jhBpr30HNLduwlVDIlIOgqEpiELK9AueQ/e66uhZScMKSWNEFBWi7boAiitRgyt5GNWQ2A5/dY7eO7FnfT2jzRoH0il2by9kabWEBee85cUBDLK8voYYZo6M8rCFBf4SWcc+pJZpCcJBUzCIQufqaGNa0Y+nIBhcU5pLUW+EK907h2RplQeiLC0uJqFsQqCpnpSrZh+FPlClAcitKXyK9oRNCxmRY6s2qtCcZDsJM3ts97x82iSUiKEYP369SQSCYqLh/t6plIpdu489OChrq5uUICCXLX7g5Xsd+3ahW3brFixYnB9QUEB8+bNm9SY1q9fz44dO4btByCdTg8bi2L6oEQohUKRFzKdzEU5JHoBCeEYBCLgC07o6aP5DcLnzSS+Zu/4/lCGRnjlzCOPgprmWDUFON0pss1xZDqPGwZNYJSMfKJqWTq1VREqSkL0JTK0dyVxXEk0bFFVGsY0tOF+LaOkgE2IdA5EkU0/POliewMcDAUTwsDSgyd4VLmnfa2pfn61ex192QEcaSHEwGCqeXmgkNm+KrxWD6vRIpPoxdUESX8P/tkXoc1aAZtXDxejhMDSQni6Q3bDkwQr6ygJzKUjtXmwSbl/IemuXVh6GFML5CXQZHr3ESibd8Co/+gRugFFFWjn/SVkksj92yGdyKXfVc3JmZGP9l2hx0iFbuSFl3aNKkANpT+e5M9r93HpquXHIE5RMRS/z8DvM4hFjz4lN2BYLCyspC5STF82RUcqgURS5AtS7A8T0M0JquwpFCeOgG6ytLia/9u/eeLGwKLCSnwqrVRxlFi6AU7+RU6sI6wMfCRs3ryZ+vp6EokElZWVrF69ekSbWCw2+G/THP55EEJMusKeEGKEbc/QKveJRIKzzjqL//zP/xzRt7R0nOhwxQnj1JzpKRSKKUNmU8i2Pchtr0Bb4yFh4kB0g2g4GyrqEeOErAtTx6yOErmoloF1rbi9I02vjeIAwWWVmKWhI4oYmpZ42Vwlr8wWyO5Gk5LgvEqCixaQbXFJbenHS2TH7G5VRdD8o39Na5pGwK8R8BtUlITIuDYZ16HfSYEt8UsLn2YQMMwDlQA1YBI/+r4FSEdAqge6W5F2FuEPQmE5mH7EMY5acFwPx8mNVxMCy9JxvSxZL0nbwEZak6+TdRMINKK+GcyMnEvILMen52fifSyIOxkebVxPv51GCA1TC6BrFrY7wIqSOs7119Pzx0Y6O+IEDT8FVgDH6cOJd5HZAFZ9GaEVb4E3noLWXYPbFULDrxegCQO2r2PG0iXDRKigUYTr9uLXoxNGQR3Es1PHRGQU/iD4g4iC0sGnpeOiR+mO23R29+a1/Z6EoK0rTW2VNe0M7RVjowlB2PQRNn3MmIRZuUJxotE1jQWxCpqTvWzoGb9aaW24iPPK6o9LSpTi1MXUdOojRXRn8q8EWxcpxjwO6cx/+MMf2LBhA3//939PdXU1ra2tGIZBXV3dEW1v1qxZmKbJyy+/TE1NDQB9fX1s27aNiy66aLBdaWkpLS2HPn/bt29nYGBg8O/ly5fzs5/9jLKyMqJRVWX1ZEB9SyoUijGRmRRy+yvI11czwoBISmhrRLY1wuILYf65CN/Y0SiaqWNVRzFLQzg9KbJ7+pCOh7A0fLUx9AI/wmccfRredMHtg8QfcuXnnY4DCyXC9nBTQazCSzAvvor483243SOrmghTI7CwbEwR6iBZ16Erk2Rtx1629rWTOlD5zNJ05kRLOau0hjJfIf7Acki9ksfABTJ8LTgLkRueQO7fBk72wOiBQARRuwjmrYBQwZQLAZmsSybrsLupj86eFFJK/JZBfXWUaERj/8Aa9iaeOzgaAAacTlqT6ykJzGVB0dtOiAG663ls7mmlNzvkvRQaGhoLC2ezMjCLjie3YiczaEIn4zp4UqIdOLdIyO5qx0tliVx8OSR6cq+DmxIaPi2MbG2hxLyWeUV/iSdtIlYFUb2ahNaMwzh+TCeAfK6NTNZh+94EGMXgdMGYRqwC9ALQQuzc10tFSSgvXyKFQqE4WkKmj8tnzKfACrKuaz+JwyJU/LrJwlgFqypmEbWmpqCH4vTFpxssLZ7Ja5378zIn1xAsK6mecvEzk8nQ2tqK67q0tbXxxBNPcO+99/LWt76V973vfWiaxsqVK7nuuuv4+te/zty5c2lubua3v/0tb3vb2zj77LMn3EckEuH9738/t99+O0VFRZSVlfGFL3wBTdOG3UNcdtllPPjgg6xcuRLXdfn0pz89LMLqxhtv5J//+Z+59tprufvuu6murmbPnj386le/4lOf+hTV1dVTem4UR4+6g1MoFKMipYds2Tm6AHV4243PQigGs85EjPMkRmgaIqBhBUyMsjB4EqELhH6KRD4dxO2Hnp/mKvQNQSDA0ND9SbyOX0O0icjKD9D/jDssIkpYOuHzZ2KUjJ90lHUdtve18/i+N8h6w6vuZT2XTb2tbOlr4/KqeZxZ8Nf406+DHDvyCkCG3wyZeXh/fgQyIyPWSMWRW15Atu1Gu+AdEC0e2eYISWUcNm7vZOfeHtwhaZtSSnY0tREIZDnvzGXMigbZ1f97DhcsOlPb2Nj5c84sfQ9+4/g+CUu5Nhu6m0Zdd3ZBNfFXmrGTWTiQLCeBASdLRDeGpc85Lb2kd/birz0T3hh+/SAEwvPQXEldwarBxZ5rY/iiOIk8qtMdQLNC08J03vOgP2mDFgbTzH12vAEOvbciV6VRj+T8yYROXyIzyYLpCoVCcXSETB8ry+tZVjKT3fFOWgf6kUiK/SHmFpTj0w38Kg1PMUUUWAHOKa3lxY7GCdueU1pL1Jz6JPUnnniCyspKDMOgsLCQJUuW8K1vfYv3v//9g96Ajz/+OP/0T//EzTffTEdHBxUVFVx00UWUl5fnvZ9/+Zd/4aMf/ShvfetbiUajfOpTn2Lfvn34/YcE3W984xvcfPPNXHjhhVRVVfHNb36TV199dXB9MBjkT3/6E5/+9Ke5/vrricfjzJgxg8svv1xFRk1ThDw8wVIxJfT391NQUEBfX5+6+BUnJTKVyFW7GsUseVQKK9AufQ8icOLSoaYF0oX4k9Dz41FW6qCFkGjgJPFSSYi9jUz3xQys7UQLmfhqY/jmFKOHrQnTEhvjXfx811rswwSowxEIrq1dzAJrD1rXg2M3NEqR4Y/jPfVLSKWZ0FyovB5t1fWIwNFXAkpnHF59o5XG5v4R6zzpkrQ78aSNzzS44rx59Is/05wcPbJrftG1zIyciyaOX6Wt/myKB994ZoQ4UhGIcl3RAloe3YA8zA/N0nQKDROtv2vYci0WpODN82H1w4NRaMPW/+WtiMjwaC97oJvebU8zdiTRcILlCwiWLxxXND4epNI2v/9zI4mDlSOlC3gHfMwkCAPQYch76ffpvOWi2QROs0goKSXSc3NPh4Wm0hEVihOIe8DTRvmZHRtOhXlUOp1m9+7d1NfXDxNU8iVpZ3i+bTcvd+wZNSJKQ3BOaS0ry+sJmWMX4jnZSCaTzJgxg2984xvccsstJ3o4ikmS73V/et3BKRSK/En05i9AAfS0Ql/H8PLrpyNeHBJ/HL5ML8ELnIvjOw8pAkgkmgAtuwk9s5HA3CC+2gUIXUNYel6eWANOlpfaGycUoAAkkhfb91A7aynhgutzIpl3uAm0QIavQe5vOiRAaRpUzEJEipG6jrCzyI690JurakLbboh3wVGKUFJKWjuTowpQAK608WROpMjYDi9v3MdFZ6+gJfnasCpxB2lOvEJF6Ax8emTEumOFZGjsjsDSdVzPozoUI7u3b4QANcgo0Uhe7wBufxa9uCrnwzaUaDEYI5+262YQK1JONt464ViFbuErrDvhAlRuMIKAzzgkQgmdnOg0dkRB0G+Sr9h2KuC5NtK1yfa34KR6QEp0XxhfbCZCt9AMVVVOoTjeKPFJcawJmT5WVczmjOIqXuvcT2O8i6znYGkGdZFilpVUEzUDOe/Pk5jXXnuNLVu2sGLFCvr6+rj77rsBuPbaa0/wyBTHEiVCKRSKUZE9E09mR/TpbkFU1B+D0ZxE2E1g7xv80wtdRtZ/JZ2dXbTveIPkAZ8f0/RTVFJNZeW1BDwbIzK5p1hJO8uueNfEDQ/QkuqnK5MmHL0GwpdA6lVIbwMc0AohfCF4pcjdj4BhwOxlULsA18uQTbQjPRfNCOObfQYi0Qc7XoPW3cgdr0KsDHEUPhiZrMuOvb2jrpNSYnvDPbPae/pJDsygODCHztTWEX36s01k3YHjKkLpQjA3WsacYAF1wQiaPCBMCQ0GHDRLx8sOF8x0TUMILWfyf1hQskw7MIq4IOrOAGtk2L1m+glXL6e/8fmcUDEGQjeJ1JyLbp34aoIAPlOnbkYBHT0jfdHGorYqimWOFNCklGSyLlnbJWt76LrAb+mYpo5xkqb8unaaVOc20l27kYf50Ay0bcaKVROqWIRuHX00okKhUCimFwHDJGCYXFo1d9hDR1PTTykD/Pvuu4+tW7diWRZnnXUWzz77LCUlJSd6WIpjyKlz9SoUiqnlSCpnTbLk6imJ3Tb4Ty90JUn9Yra8/grp1PDII9tO09ayg/bWXdTNOZfyyqJBk0Vpu0jbQzpuTskwNYSpow2ZeLen+nEn+R7tSXRTGykCzQfhKyB0YU78ECZoFgz0QyoO574V29IY2PM8Trx92DaSmoGvuJbQ0osROwqRPa0I15nkSRpO1nZp7x69CoxEjnot7t7fR82s0UUoAFfmX9p4Kgh4Hn8RKSa95SVS+zbjZQYQmkG0chb+urOY/ea5tLzaSmL/IYEooJu5lCpfENKHHb8h4PDzGo4h6s9AjHHjqfvCROvPJ9WxnUzvvlwFvIMIHStaQbBsHkagcHpEQQGaJphRHmHjjk5S6YmvI5+pU1MZHRGFkMk6NLcn2bmvh/augcE4qXDQpG5GAbOqY4QCJtphhQ88J4M8cH0JBEI3EMex1PV4eHaaZPM6Mj17R10vPYdMdyNuOk60buW0ERYVCoVCMbX4dOOUEp2GsmzZsmH+TorTg1PzalYoFEeNiBRNOuFFTKFJ9UnLwfQqs5aMdSmbN7xCJj121TIpPXbv2oJhRSktKkEO2GS2d5Np7MFL5Sblwm/gqynAP7cYLeJDM3Uc6eWehGkGHpK0Y09YRcUZmrondBCjTFqXX05Wd4hvWzO6EOk5ZDp2Ysc7KJh7Gdpei6NNjbIdb0zve4FgNHOqjG2jM7YRpz5OOtdUIzMDiG2voK3/I6lUfPBsSNchvX8bVnMjXqiCqlXX0Qwk9vdganqunLLQwJ8z6SebKzcsfCZGYRC2DDEaD8XQVl0PwfG9MXQrRKhiMYHSuTipHjw7jdANjEARmmGhGdPPN8Jv6Zx3ZhXPrt2P44wtrOq6YOWyGfgtnVTaJj5gkzyQxhfwG2gaBA5U2DyY/pgYsNm4vZPGpj4uWF5NYdSPpglcO42d7CDdtQtnoBekizD8+Aqq8BfXo5kBNP3EpblJzyPdu3dMAWoozkAXA22bCFUtQVPGyAqFQqFQKKY5SoRSKBSjU1gOkeKc508+hAqgZMaxHdMJxPEyOF4a2xtASg9TD2IIP6Z+mBBiVgMCN3A+La2t4wpQgwgfwgO7JU7yz/uR9vC0LZl2SG/rIr2rh/C51Vi1BdQEYtw0awVIiRCCjOewJd7O5t42+u1RqtoBBb4JqqfoBl5BMfGN/zthJJyX7iex5yWis1bBUUbV6NrYBstCCEw9gO0NHNZHQ2KP2idsVmDph7zJpOvCwXMiNMRE52EIjuthD3k/Dk/tknYGuXMd8vXVGEDU9NM35PxnPQdpWNC+F/e5X1N50TvY05UkKk20g8bSmg6hCFg+SA9gzS6BvqZcZFoohqhbjJi9FEIFeUUwCd1A142TJjJG1zXKioJcfPZMXt/WQUf3wIg2JbEAyxaUEw6Z7NzXx859PfT0Z/CkJJV2yNoeM8sjLJhdRHlxiLWb27CHCFqJAZs1rzVx5co6DJEivvclnOTw7zaZTZDq2EaqcwehqiX4C2tPmN+S52ZIdzfm3T7Tu59g+QJQIpRCoVAoFIppjhKhFArF6FgBxKwlyPV/yKu5qDtzVK+akx3Xs8nYKeLZDgacNuLOXjoGNiPxKA0uYGbkPCJWJaZ24NiNUvCfiWMtoaP9xYl3ICxKSqsJ2gZ9z+xCZ2yRQWgCF49EIkFHexvbmvcykEkjgGgkwoyKKhbXLGFtTxOvdQ83lffrBrMj4+fXS00n3bcP8jA7B7D7mnEF6L6jEzt8lk4kZBFPjqwEB6ALC00YePJQulZFSZiUt3PU9lXh5ZhaEJlNQzaF3LsZ2daYS2/zBdBqF0Npde4aHyO8PZN1SWUcdu3rpbUzieN6mIZGZUmIWTNj+H1Gzpcom0ZuWgPkBDO/kUuxS9gZHJmLTUt5DsGAid2yB71lJxUNldg7ehkW4SV0sPyISJDAWbPRjBS85cPgC+WWn+TGoxNhGBrlxUEuOquaxIDNnuY+bNfD1DVmVkaJhiykhLWbhldQlF7uvZIS9rT0s68tzgXLq1i+oJyXN7Yw1A/ecT2km6a/6UXcge6xByM9kk3rEJqGv7D2hKTnuZkEbqo37/bSzZLtbyVQMvvYDUqhUCgUCoViClAilEKhGBWhGzB7KbK7FfZtGr/xjAbEvLNPqYmy50nSWYfeeIJt+1rJZLMYeoSqsnNZUnQx3dk32Jt4hrbkRuYWvZkZobNzUVFaBKJvJpPKkM2MjOgYgRalrLCMgbVtOGkb3a8xWvqZMDQCK2fQme5j9593IkIW+oFADwn0xeP0xbcS2r+PJYsWownBq12HDNLnFZTjn+D9kXhkkm2jGmWPim6S7tuLES5FO4r33jJ16qqibNjeOep6gYZfjzLg9ACSoN+iqizMhp43RrQtsKqpDC1DZNLIba8gt74I2eGRYd7ezRApQjvramRZDcIcHu2Szjps3tXNll1deIdVtevuS7NldzeL5pTQUBvDat4BmUPeS5oQ+HUTSzewPZeM6yClRJoavogfuWMdwfMb6NvZNyKLUQtYRC6sQY8FEfrpV2VSCIHfZ+D3GRQV+JEHovw0TWA7Lm/s6BouQEnI2O6wS9XzJGvWNnPVBXXMKI+wr/WQF1tNRZiB7r04ya5DUWhjIhlo3YQVqUS3jv+tkmfn8d1xGG4mPnjOFAqFQqFQKKYrSoRSKBRjIgJhtHOuRkYKkbvWw+GpZb5gzih54fmIwPGrRHascRyPzt4Ur2zaz76OfUgOpfVs3QvRUIClc2ezoLiSLX0/Z1v341haiIrQEjShgzUHLzVOpMVBtAJCkXJ8wiS+rwdDM3LCxChzSN+CEnqcBDs3bwNAD0iChknWc8gMMbBOpgZY/8YGlp25lP0DvbSl4pQHIlxQMRv/RKk6nov0nFxqZbJvfCFK0xDhAjw7DdIFjlyE0nWN+uoYu5v6SAyMTLETQmBofgJGIWmnlzPmVNPnbCfrDb8eY746FpfcgM81kG+sQW55fuydxrvxnvtvtAvegayoH4yIymQdNu/sYtPOsdNQXU/y+rYOkJK5keIRP6RCgI5A1w18mgHInLeVD2SqAy2ooRcGcLtTIECP+vDNKsRXV4gWNBEnaSW3qSRnIH7og5C1PXbu6x3WRko5qoeU60m27Opm0ZziQRFKE1BfGaS/cS2B0W3GRuDZKbLxNvxFdcdd2BHiCK4BoSkBSqFQKBQKxbRHiVAKhWJcRCAMiy9EzDsH2bwTetty4kSsDFHVAJYPYU692bHjuaRcm6SdwfY8fLpB0LAIGibakUzQ8sR1PTp6Bnjmlb3E013DBKiD9CdTPPvads47cxYNpdexufdnNPY/S7G/AZ8RAT2IYblglIPbD/Kw8vPCn4uY0oIEgiGcziR4EqGLUSfHwtTQZobZ99r6wWXSdtEMkwIrQNzOkHbsXCU5IJlK0dbayqJYBTErwOUz5lOQd6qkQJh+CGvIVAKc7OGrwfTnRMcprNQSCphcsLyaNa81jZqWJ4SGqQVYumgG9TNNtvY9iaWFEEInYlVRHTmXmG8mPj2CbGscX4A6iGPjvfIE2ptugmBORE2mbDbvys8HbcP2DmrOrSBcWA49baO2yWkCh95UYQiELim4fBbSlSByaZbC0pX4NA4tHQnSmfyrMO5p7mf5wnKiYYv+RJaqsjB+v4lWuwLTNHNia6YHp38fzsDY73e2vwVfwQzEcfaG0v3RnGn9JCpgmiFVzlqhUChORaSdAWfIQzrDPCb33grF8UKJUAqFYkKEaYFpIeYsQx7wCzpWJd49KenPpni9u4mNPS30DElpqwoWcGZRFfNiFYSP0Y9vxnZ5aUMLWcfB8UY3+IZcwNKLG3fzlxctosA3k77MXhJ2W06EAizLRzhaRiLuBxyQB28eTBDGgSp6AiEE0s1NNE3DYDQVyqqOEo/HSSWHpOgcCFLShUbU9BM2fKTcLI6X21Z3Zzcr685mSclMgvlOoDUdzQrhZZNg+nLpla6bu/mRXi76yfLnxn5ACNT9BVPimaNpgsKon8vPrWVPSx+79/fRG88AYOgaM8rDNNQWEov4MQyPpdZf5zqKXLqepYdypyWTQm5/Jf8dJ3qQ7XuhdiGO67F9T09emYiQS/3aub+PM2oWo40hQg3DF0BUzUH6QwjLyCMlTAE5Ybi7b5TPojgo8o3Sx5PEk1liER+L5pTg9xm8sbOXffta8aSHYehUlkWZM3Mp/uI02dbXRk+B8xyOtvrjkaAZfqxwGdl4a17tdV8EI1h4jEelUCgUiuOJzKQg2YfcsRbZuhucDBg+REU9zFmeK1gyiWIriqOjsbGR+vp6XnvtNZYuXXqih3NSo0QohSJfvCx4ScjuBKcN0MGqA7MiF9Uijo0oM904VuIT5ASoznSCXzeuozOdHLG+eaCP5oE+tva189aaM4ha/indv5SSts4BEgM2njwUWTTmeD3Jjn29VNcspS+zl670DooDcwAwDIPy8goSiSSggxhdNHNdFy1gous6YowqcaLAR0/vYdEaQ9pqQqAJQVj4BkcsPImTtYn687850XQLf2ENA22bD2xEA0Mb2+tLaASK68c0954smiYIBU3m1RdRPyOG63l4UmJoGrqu4bMOXns6ujbGmFwH2bRjUvuVezYiKutxpElr58jrbpwB09yZZv6iGsaVREMFuHPOwS6fQ1ufTc+OXoTQKCzwU14cxDqs4p5iJHIUZVATAp+lk7VHjxbSdZhXX8y2xm5e39ZJ2K/hpAfQtNy57utPsXVnOwvmlLOg/lyyzS/iZYcLUUI3ySt3b4rRDB+B0rlkE+15RUMFShvQ9BNTyU+hUCgUU49MJ3PWAltfOux3IIGMdyF3rEXMWwGLViH8oSnd90033URvby+PPvrosOWrV6/m0ksvpaenh1gsNqX7nCxCCH79619z3XXXHbd9zpw5k5aWFkpKVOTx0aJEKIUiH9xeSPwBEn8Cp334Oms2RK6EwDI4Dc2Ep5KkneHRxvUjBChNCCzNwPFcHOmxO97Fk02befPMRflH+eRBJuvS2NwHjD7pHY3dzR0smjMfgY4nHaT0EEJD0zRKSkro7u6mp6dnzP7xeBxzbg2BWBgyY1Sl0wVedsgNiBAIc6QYKIQYNl32vPxTeSAnMPoK60h17UI6mQnbW9EqNHO4yCUzqdzNktByqZpHkDqpaxoB/xGKMp4zMoVwIjIp8DwQAnsUj6GxEICNhrBGkaCiJVBQgogUY9ctZfvePrat3saAHsxFkx0g6DeYNTPG3LoiAj71kzwamiaIhkeX+QxdQ9cFrjv88yoElBYG2bSzm7Wbct/ZntTRDXMwmhNyn/NN21tBwoLaZaT3rRm2HV9sJtpxTsU7iBEqJly9jMT+18YVogLlC/DFZh7TBwQKhUKhOH7ITOqAt+UL4zTyDq1ffOFpExGVzWaxrBPzu6zrOhUVFSdk36caR3SX39vby+OPP859993HHXfcwWc+8xm+8Y1v8Pjjj4872VIophtexsFN2bgpG28svxG3F7p+CL2/GClAQS4yqut7kHgS3MTI9Xkg7Qwy2Y/sbkV2NSMTPch8KqtNEttxSaZsdu7rZe2mNtZtaWd/W5yBtI3rTk6wmGo8KdnR30HHAfNzgaAuXMRfzFjILXPO4731Z3Pz7HN5Z+1SFhZWsru/i75saoKtTg4pGfSd0fKMbBtIZ0FqGJoPvxEbJrpYlkVDQwOlpaVjGgabponmM/DPLmbMiIush2EdivwRlp7Xt7dhTF7U0Kwg0ZpzERNEVZihEsIzlqAZPqTrIAfieHs2IV/+Ld7z/4P34v8id65HDvQj7UmKQkeD0MbO0RoLXR/sM9mIJMMwkFYADgoAM+aSWXU9vedfyxt1i1hbWc+mVJKimYU0nFlLYVF0WP+BtMPG7Z28sb2DrO2QdXMvbxJeQKc6QghmVkQwjZHvjRCCUMAc8ZYvml2M7Upe3XQoTVKSizAajc07W0m7Powhvkq6L4wRKp6SYzgSNN3EF6uhYNZFWAUzDou2FZiRcqJ15xMsnTvmcSkUCoXiJCTZl4uAygO59SUY6DvGAxpOMpkkGo3yi1/8YtjyRx99lFAoRDwep7GxESEEP/3pTzn//PPx+/0sXryYZ555ZlifjRs38uY3v5lwOEx5eTnvfe976ew8VC35kksu4dZbb+WTn/wkJSUlXHXVVdTV1QHwtre9DSHE4N8A//M//8Py5cvx+/3MmjWLL37xizjOoTmeEIIf/OAHvO1tbyMYDNLQ0MBvfvObwfU9PT3ceOONlJaWEggEaGho4KGHHgIYPKZ169YNtn/mmWdYsWIFPp+PyspK7rjjjmH7u+SSS/j4xz/Opz71KYqKiqioqOCuu+460lN/ypD3DCWbzfLII4/w8MMP89xzz435hF3TNFatWsXNN9/Mu9/9bnw+dWOkmF5IKZFpB6crRXpHF24iN0HWIxb+hmKMwgDCb+REAy8N/b+F1EQeMzInUpkzIHBO3pNg6dgQ70ZufxW5bzMcjADSDaiagzbnLCiumpKnGwMpm027utjT1Ec6OzziJhqyaKgrom5GFP8JKEcOkHKyvN7dBEDE9PPmqvn4PEFLSzMvdG4la2fRdZ3iWCFnVFaxon4mjfEuinwhfFNokH1QLNKEgSZMPDmyWttQdE0c8CUyKAssHLHe5/Mxe/ZsZs6cSWtrK8lkEikllmVRVlZGOBzGNE3MBaU47UmczpHio9sxQNniUpp27QVdQwsYE1bBCofDR/SkSNN0zHApBbMvItWxjWxfc87E+eDx+sL4CmvxF9ejm8GcgNqyC/naU5AY/hBC7tuCDIQRZ1wENYuOz1M6TYeiKuhqyruLKK0B04fuCcqKguxuyv9mrrwkhOnzIy54O06yj46icp5v3cnOXa9i+4KkMUmlskR8Qc4sr+acJfXs2tnH/tac2BqL+JhdX0A4avJCWyO9zgAIKPWHWRCrwK+b+MdKhzyNsEydmsroiAp5QuSEw0jIYiBt4zi5iKhFc0rYursbz5NoGvh9BoahITDRdAPPHf7QQUrYvreHM2bW4CQ7QWiEqs6cUIw91mi6iRUpwwgU4DnZA75VEs0IoBk+NHNqU5IVCoVCcWKRdga5Y23+hSmkh9y+FpZdftzMykOhEO9617t46KGHeMc73jG4/ODfkUiErq6cjcTtt9/OAw88wMKFC/mXf/kXrrnmGnbv3k1xcTG9vb1cdtllfPCDH+T+++8nlUrx6U9/mne+85384Q9/GNzuj370I/7mb/6GNWty0cpFRUWUlZXx0EMPcfXVV6PruYc0zz77LO973/v41re+xYUXXsjOnTv58Ic/DMAXvvCFwe198Ytf5Otf/zr//M//zLe//W1uvPFG9uzZQ1FREZ///OfZtGkTv/vd7ygpKWHHjh2kUqM/9G5qauItb3kLN910Ez/+8Y/ZsmULH/rQh/D7/cOEph/96EfcdtttvPjiizz//PPcdNNNrFq1ije96U1T84achOQ1c/ve977Hl770JTo7O7nyyiu5//77Oeuss5g1axaFhYVIKenp6WH37t288sorPPXUU3z0ox/lc5/7HJ///Of5yEc+cqyPQ6HIC+l5uL0ZEs/vxeka/oXidqfI7unDKA0SXlmDXuBDeElIPJvv1iH+FPjmgx6duLVjQ+suvOf/B7KHme66Duzbgrd/K2LxRTDvHIQvmOc4RjKQsvnzumbaukb3u+lPZnn1jVYGUlkWzSnBdwKEKE9K2lJxwoaPa6sX09Xaxmt7dg9v4zi0dnbQ2tlBWVEJC+fNx5Uuk80sztoujuvhuhJN5MRzy9IwdEFh1EdXbwqBhqkFybh9hPw+Zs8oozzsw9A1so7H/t4kjS0dxCIhHC9JcWA2pj66yGKaJqZpUldXh+seMHYXAtMcIi6ELCIX1ZJ8uZns/r5hXsh2W4Lg4hJi5cXEM8m8qqiVl5cfUSQU5NLyzGAR+ozlyIrFOOl+pOegGT50fxShW2iajnRsZPMO5J8fBW+MVMJUAvnS4+A4MHvpsFS0Y4IviJi1BDmeCCU0KK9DlM7MGbDXLABNw9I1GmoL8xKhfJbGwtklzKkKo7keXnE9WjH47AEigSienouQyiSzoBvEHZs1TbvZ29fDDQ3L0YQgnXFYsKCIP7ftYn3jfmxcoiHfoDfYmtZdLCqs4IKKOUSO9Xmb5limzhlzS4kns7R3H+bbdFCIClq4nmR+XSEBv0Fze4JQ0MQytFyq6oFKhZoVguwAnjtcYG5p6+fMhnqE4SNSvRwzXI42TVLcNMOXi3byR070UBQKhUJxLHHsnAn5JJBtuxGODVMoQj322GOEw8NtRg7ewwJ88IMf5Pzzz6elpYXKykra29t5/PHHeeqpp4b1ufXWW3n7298OwHe/+12eeOIJ/t//+3986lOf4sEHH2TZsmV85StfGWz/wx/+kJkzZ7Jt2zbmzp0LQENDA1//+tdHjDEWiw1Lj/viF7/IHXfcwfvf/34AZs2axT333MOnPvWpYSLUTTfdxLvf/W4AvvKVr/Ctb32Ll156iauvvpq9e/eybNkyzj77bIBhUVaH853vfIeZM2fy4IMPIoRg/vz5NDc38+lPf5o777xz0IPyzDPPHNx/Q0MDDz74IE8//bQSoSbiK1/5Cv/4j//IzTffTEFBwahtKisrqays5Pzzz+fjH/84/f39/PCHP+Tee+9VIpRi2uD2Z+lfvRsvMXZ6kNMxQHz1bqKXzULXd4HXn/8O0ptz6Xt5iFD0dYwuQA1FSuSGZ8AXhDnLjsgAOmu7bNzROaYANZTNu7opjAaomxGdMNJmqpGAJz0urWigt72DHXvG/wFu7+7E2L6NsxcvyVuDytouffEM2/f00NQeHzQ0jkV81M0ooLaqgIWziw9EWwjC/ggrZ5VTHfMj92/F27ITaWcRPj8VtYs467yFZIRG3N3InNibMLXxI310XR98WjPq+rCP8MqZeAMVuSi9/gzIXJSeFfYze+FcNm3ehG2PH51VWFhISUnJ4I/fkaIZFhgWum8Mr7PMAPLl340tQA1BrnsaUTkLjrGYIjQNqucid7wKo1SsE3VnIOoWQzaF3L0RPBfZ3QKVs6CinsKQjzm1MXbs6R1zH3NqYiydXYgXH6D/pR0MNLXj2jaYBpGqCi6a38D5Zy3gvxrX0ZvoAKA6EmNZ6QzmxkqxNDhrYQkSeKOnjV29naQPROY4rod5QPjIeA5ru/bTk01xTc0Zp70QFQqYnL9sBm/s6GRvSz+ZIRGdQkBB2MfcuiJqqqJIKdH1nHH54d9kQmhoVghNuujCAc/Fth0cDzQzQOHcN6EZ1pRUfVQoFAqFYtLk4cs5jGNge3DppZfy3e9+d9iyF198kb/+61x14hUrVrBo0SJ+9KMfcccdd/CTn/yE2tpaLrroomF9Vq5cOfhvwzA4++yz2bw5VwBn/fr1/PGPfxwhdgHs3LlzUIQ666yz8hrz+vXrWbNmDV/+8pcHl7muSzqdZmBggGAw90D/zDPPHFwfCoWIRqO0t+csV/7mb/6Gt7/97axdu5Yrr7yS6667jvPPP3/U/W3evJmVK1cOmzOtWrWKRCLB/v37qampGbE/YFC0O53J6w5r165dk36iHo1G+eQnP8mtt956RANTKKYaL+OQ2tA6rgB1ELc/Q+qNVoKLI5M0TnPB6QCrZtxWMptGbnlxfAFqaPutLyJq5kNg8k/BbdtlT3P+QtqOvT1UlIaOu0myJgTVoULKrCB/3rshrz5dPd309/fhLy2bsG0m67B9Tw+vb+vgcM/x3niGdVva2bG3h1XLZnDO4grWb+3gwsXFBFs3kfrTH/HS8eGddm3ELCih+MK3UlR5NoYxNab0mt9A8xuEllchHQ+QCF1DmDoh12ThwoVs376dgYGRaXtCCEpKSqivrz/mpo3Sc5H7t0K+3mWei9z5Gpx5KcI8xilOgQjaquvx1vxqmBAlFl+IKCjFW/MotO4GXwCCEdA0aNyADEbRFp7P2XMWoSHYtmekx2FDTYyls2L0vbqD+LY9g8td6eFl0nRt20HXtp2ULpzHXy9dzvfTL3F2eTU1wQLaWlt5aefLpNJpyoNRhGUQKy7mffOWs667lT/s3YbrSQ5Pvtsd7+KVzr1cUDF7UKA6XQkFTJYtKGPRnBKa2xP0JzNoQqO0KEBRgR+fqaPrGqm0jWXqpNIjvf7CQZPayhB1lToH/f0dT9DW7aHpBrql0h8VCoVCcQIxfMAkfGaPwX1VKBRizpw5w5bt379/2N8f/OAH+dd//VfuuOMOHnroIW6++eZJPcROJBJcc801fO1rXxuxrrKycthY8t3eF7/4Ra6//voR6/z+Qw/yhmUikLt/Pmg19OY3v5k9e/bw+OOP8+STT3L55ZfzsY99jPvuuy+vMYzGePs7XclrlnmkKR1H21ehmEpk1iW7P38xJrO3j8CiatCLwO2e2sFkU8imbfm3j3dDx36oWTDpXe1vS5C1J45UOUh79wCptH3cRShL07mgfBZdnZ04bn7jDegWba1txApi44oujuuxp7mf9Vs7xt1eYsDmubVNXHpuDZct1zB3rSX98tOAhyZMpMyJQgC6rhGWafjzr9FXXQ8z5sIoxsnj4g3kXu4BgUuPgBYELYgwNMRh29N1nXA4zOLFi0kkErS1tWHbds6cORSioqICy7JG/NgdEzIp5N5Nk+oi929DLFx1TG6WhiKEQEZL0C55d86Xatd6RGEFIlqC9+TDuXTXSCEYZk6AOshAP/KVJxDZDMsbzqJ2RgHb93TT1jWA43hEQxZL5xTSv3bnMAFKcng1RUnHpi2UCsGHlp/Lvo42nn/lpcHrWhMaCOiM99HS283ufXtZumgxZt18nm3bOeoxbexu5uySGkzr9BahAExDxzR0GmpzdgCj3fAahkZ5cYi++PCnyQtnFdBQLWDgeZz2Z0lnmgGJZpZRU7gKn7gUvCLQlJ+lQqFQKE4AhomoqEfGu/LuIsrrc/c0x5m//uu/5lOf+hTf+ta32LRp02Aa3FBeeOGFwegox3F49dVXB4NUli9fzi9/+Uvq6uomrRmYpjksPfDg9rZu3TpCPJsspaWlvP/97+f9738/F154IbfffvuoItSCBQv45S9/OexeZM2aNUQiEaqrq49qDKc6RzTLjMfjPPfcc+zcuZN4PE4kEmHOnDlccMEFo4bTKRTTAbsljrTzV51lxsPuSKFHZ8NAviKUDkbpxM36u8GeXKitbGuE6rmTKsPteR79yUmG9ALJAZuiguNT6tWTHraXxPMciv0esYoY4dAi9jd30drZjjvGkwJdaFi6Tn9//2ECwEiytsumnfn9mCdTNm2dSeZEMqTeeBZDFzjugUmu0NG1XIqPZenoQuRSJl95AlEyM/8bAC8F9v6ch9jAqyAPRBOJIASXQ+QKMGfCKOl9mqbh8/nw+XxEo9HBY58o1W/KkRLSk6zgmE4yIgztGCGEgGAUGs5C1CwEz8V7+ifgC+Vyt8ZJVZQbVqNV1FNWWk0s4sP1JEiJbgjc7n76tzaO7DPKdmwvjZdIsGXb1mHCqk83DlTAy/VKZzO89sYGzlmyjNZsnL2jfN/022maB/qYd5qn5B3OmFUnDZ05NTF27OnGO/DmnNEQY1ZZB/b+b+E5w8+xl23GSP4GkfkDlHwI/EtAU+daoVAoFMcXYfpgzvL8zcmFhmhYftxMyYdSWFjI9ddfz+23386VV145qvDyr//6rzQ0NLBgwQLuv/9+enp6+MAHPgDAxz72Mb7//e/z7ne/e7B63I4dO/jpT3/KD37wg3Hva+vq6nj66adZtWoVPp+PwsJC7rzzTt761rdSU1PDO97xDjRNY/369WzcuJEvfelLeR3TnXfeyVlnncWiRYvIZDI89thjLFgwehDA3/7t3/LAAw/wd3/3d9x6661s3bqVL3zhC9x2221HbYlxqjMpEcp1XT73uc/x4IMPMjAwMGziJ4QgGAzyiU98grvvvludeMW0wxslLWMiZFYHLZZ/B/8C0PNo701+LHgueN6hUvB5IkY4ouTR5zj4QUkpybj9tA+8QVPiFfqzTXhSkk5nKQ7Mo6bmPOprzmTdpu0kBob7WQkEBVYAjYnDWaWUtHUOkEyN76M0FBMXb/ur+E2BZZhIeSDSReTSBjWRq4g3SDqZi2ybszznSTQeXgqSL0DPw3B45T05AMnnYOBFKHw/hM7LRUaNNc7jEfFE7tgdxxn8zjcMI2eePdnUMN3Iu3LkVCE0HQJh5P5tEO+CfIQ6KZHbX4WCEqwhoo+TSdO/tXl0xWnEjgWBWRVs37GbkG6S5JAYrAmBe5gYl8lm2d/UxJKqylFFKIDe7OjVWRSjE/QbzKsvYvOubipKQswqT5Jtuh/pjjSe91kGmiZyn8HO70HpbeBffNyvV4VCoVAoCBUg5q1AbnlhwqZi3goIju7ZfDy45ZZbeOSRRwaFpcP56le/yle/+lXWrVvHnDlz+M1vfkNJSQkAVVVVrFmzhk9/+tNceeWVZDIZamtrufrqqyfUEr7xjW9w22238f3vf58ZM2bQ2NjIVVddxWOPPcbdd9/N1772NUzTZP78+Xzwgx/M+3gsy+Izn/kMjY2NBAIBLrzwQn7605+O2nbGjBk8/vjj3H777SxZsoSioiJuueUWPve5z+W9v9OVSYlQN954Iz//+c9ZuHAh7373u1m8eDHhcJhEIsGGDRt45JFHuPfee2lsbOQnP/nJsRqzQnFECHPyUSLCNMA3BxJP5tM6F8Gi5eHbFDiCiMFgNDeJnwSaplFUMLmn+ZqAcOgY+wlJSdLu4PXO/yKebT5srUdrfAPN/eupL7qAsxZfysuvb2EgnZuAm5pOxPRjaTpCiAnDdx1X0tKZf169AEoiOu7L2zAOiE6H1oxzTHs3IWYugMA4eetS5szrux8CxhEipQ3dD4NeAIHlJ2wi7LoujuPQ19dHR0cHjuOgaRrl5eXEYgWIC29A370e2bILxqtGd5CiyhNyLDKTQu5+fXJ9mrYill423EjdlaRaRk/pFAzXpoKVxdh49LZ3YRweVSjliPYALR3trKqvo9AXpGcUry1dCSKTwmcZLJxdgpRQUuAh+385pgAV9BuHPusyA/3/k/P200/cjb1CoVAoTk+ELwCLVgEgt740ekSU0BDzViAWrcq1n0IefvjhUZdfcsklI7IPmpqaKC4u5tprrx21z4IFC3jxxRfH3FdDQwO/+tWvxly/evXqUZdfc801XHPNNSOWX3XVVVx11VVjbm+07Ine3t7Bf3/uc58bU0Sqq6sb0f/iiy/mpZdeGnN/o43/0UcfHbP96ULeM9qnnnqKn//853zsYx/jm9/85gh18tprr+Wzn/0sf/d3f8f3vvc9PvCBD3DZZZdN+YAViiPFrAjnFBYvz3QgXWCWhiFwJgTOgtSr4zQWEHs7+BbmN8kOFuQm5N0teY7FQNQuPKIIpYqSEAG/MapB76jtS8P4j7HvTMbtH1WAOigqua6LJjT29vwZU/g4c+45vL5pGwHdRNc0NCEGI7xisdi4T0uklHhu/ilghqEhkDnD7cmc7swAE4bIeP3Q/zjjClCDOND/u5wIegQTYenYw1M+dQMxiVQux3Ho7e1l165dZDIZhBCUl5dTXFyMbdvs2pWrXugLz6R0+TysbBJ91zrYt3nMbWpzliP8+ZlLTimei0xPwuATckUD3JHvk+eM9CsTHPChGnJjYsUi9PT2AHJENKIjJSHdGFaYQBMC13PoT8Qp9oVGFaEqT+CTzpMVv8/gjIZSdDpINb6GrgmkzH1NG4aG/0AElHb4d2t6MzhdSoRSKBQKxQlB+EOw+ELErDOR29ci23bnquCZFqK8HtGwHIIFUy5A5cvAwAAtLS189atf5SMf+cgxL4ijOLXIW4T68Y9/zOzZs/nWt7415kRY0zS+/e1v8/vf/54f/ehHSoRSTCu0gIlZGcZuik/cGLBmRBF+A3Q/FN8C8TpIPgvO0JKaAqxZELkSAstAzzPCyRdAzFqaKw2fD1VzwDd2WtZ4WKbOnJkxNmzvnLCtJmBuXSH+Y2hK7kmPjtTmYQKUpYUpCc7D0kJICfFUN63xjWTcBHt6/0xtzUoqCopIpUamI1VWVo6blqZrAmsSoprrSUAgdAMiBVC9EELFudQzOwXtO6F5+0iBIp8oNacLMmOLNCPITH4iLLNpSCWQu9Yhm3fkhA7dQJTOhIazIFyE8I9/LbmuS29vL1u2bBk0W6yvr0cIwdatWw89MZIS0zTYr2vE/Ca1c88jGC1BvPHsyI2Wzsy9jgIpJbZtD45JCJFfSqIQII5AWB1F3NQsA3cUKyxNaHjykEAldA3X9UAIJBJd0/CkPCBUSXShYWo6Wc/NiaoHflY918MYZb/VoRgx68TcaJ7sWJYOyd0ELQes4Z4ZI8SnQSSk14Nv1rEfoEKhUCgUoyB8gVwl32WXI5whFg6GeUI8oIby9a9/nS9/+ctcdNFFfOYznzmhY1GcfOQ903zppZe4/vrrJ4zE0DSN66+/nv/5n/856sEpFFOJ5jcILi6nv30AOUG1OOHTCSwuQzsoxugxiF4D4csguxOcNkAHqw7MilwK3iQmuULToWZBzmx8nMgRACLFaEsvRxyhCGUYGg11RSQGbHY3jUxFGRyTgGULyiktPLL95IvtJWlK5KLKAkYR1ZFziflq6EptI2HnBL6CUDn1RR+iK7mbXd3P0pJ8jeKSRezfNzzlq6KiYsKyrbquUT+jgO17evIan+dJHCkIXPhXSC1IZlc3zq44eB4iYOGbvQKjYRXsfQ12HIqOE8UzwJjgKVBmB/kZCh1EQmZ73hNhmUkhd7yG3LB6hEgm4925KnH1S2DZZYjA2GmjjuOwc+fOwcie2tpaPM9j06ZNwz24hMC2HQzdT09PD4m1r7Jw2XLC2QHYPiRysHgG2sprEUeShkrOYN+2bfr6+mhrayOTyUV4BQIBKioqiEQimKY5+PvkOVmk54J0B03IxbwVuUozA3lWyIyVjfC8koYgVF1Bb++OEc0FObN890DIvGc7WGYQ3TKxpYcQuXQ6XegUWkGEhIjlpzc7XNEyTZNsdvj3k4ZgRWkdgYmuL8XYyMw4gtMYeMqDS6FQKBQnHmH64ASLTodz1113cdddd425frTUNYXiIHmLUC0tLXmXO5wzZw4tLXlGeCgUxxGjOEjkwhrif96HHCM9TQsYhFfVYBQeFnWgWbmXcfaUjEUEwmjnvBkZCOf8ag6vlic0qJyFtvxKCBce1b4CPoPlC8spjgXYua/3/7P33mFyXXWa/+ecGyt1V+ccFFrZkiU5CScMNjZgGBPWXsKMTZ4fsIZhmcAwu5hnZ9c7zMICAyzMsIOZGWaMYcHAYBuMsQ3OScGyYkvd6lbnXF35hvP7o6SWWp2qpZYs2/fDIx533XPvPVV1q+re977f98tY4kQZkBBQUxFhVWs5NRVhzNPIzloMvvKYyHUTM+tZXfYWuiefYffwPWRPyWqxZCktJVewtfF9dI+/QEXkxLyEENTX19PY2FiUEyYaMakqCzE0tvBFZWnUImyFyRwYI/vCdnCn1+HnD/ajVcSIXn4hMlQCLz5cEDlWbkYYC4kExYejT6HyRQ7LFtxPhmctuQABAABJREFUO34z/7iOnYWQ+4tumNURpZRibGyMfL6w33A4TDQa5bnnnps9BF4IHM/FipTipCY4sOclNm7agt65G0oqEMs2IZrWIMJFZKXNgu/7JJNJDhw4MMMJl8lkGB0dJRqNsnr1amxTw80myA4fIp/oQ/mF11sPxbFKm7Cu/g+w71koIh9KLNsIpziPdMMk0lbH+J5Ds5b1FspEJZ5SZAZGqVjTxNHBfsbzaQQCW9OJGhaalAgElhKUGDYJJwcownaISCRC79DEtG2+sX41y2IVixdRAk5QTFbfqRTTZCIgICAgICAgIGBRFC1CJZPJBR0HxwmHwySTi8zfCAg4BwhdotfGiL+5jVzHGLnOcbxk4WJbi5rYK8owW+LIkIHQzn6HRxGKwqZrEGsvQx3ZA6N9KOUjwqWI5ZsgHFuyDB3b0mlridNcF2MylSeZdpBSUBI1CdsGlqmdo654PrZWyqqyt7B39Bf0pmbP2sr5ExwY/yUpZ4C15TdBziYWi1FaWkpNTQ2GYRTdHc42NTavq+HRZ7vJ5ed2wRm65MoL6sju6CN/aIzCV+RMEcgbmSTxqz2U3LAOuWys8LqFSxaeiFZR1HynoVcWNy6fQb34u6KGqiO7ESs2Qd2KGcscx2F4+ETpZkVFBYODg7ju3DlWruthmhYyWkZW+SQ8QeXbPlFYaIUX7hg4D6lUij179uA4cwt42WwWN58hNd5DdnDfzPllxnHTo2SUpKTtEiTML0RFyxAt6xGndNITQqJFLMo2rWJs+/5ZVxVCoAmBP5HGkAbllRWkBx1KZehEZ8VjSCEI6Sa61Ei7eZpq6zmUGiHrOehCsqKkiq2VTdRFSrG16ce6n3Xxsy7ucArl+siwgV4ZRhraaTVheNVjLiuISt54ceOFWSixDggICAgICAgIWFKKFqGOZ3AEBLzSkbqEmEVofTV2W8Uxq2ghk0WY2jkRn05GmHahA9fay8B1EEqBriO04gSWxSClJGRLQrZB9WnoIUsyB6HTGLuEvtT2OQWok+lJPUe5vYLlpW9k3bp1aJqGpi3uIlsIQVmJzdUXNfHMi32MT+ZmjJFSsGVtDeZEllTHeKEUKxqH5Di4M4UolXNIPdVJ7NptiKhdXLmktWpxF8JaHKzVCw5TnlcQMU91082Df/B5ZHndrPM+WfCJx+Ps2lVkZzkpAcnA0DClZeVnHFLpOA5dXV3zClAAzU0NuImjpPp2YVnmjCBwAITExyfR9RTxNVfA8FGYHJ05LhpHXv4umKNcUbdtYuuaEAjGdh1AeTPdYZpmUHHhWsySEK2hVtLpNNlsdpatFYQoS9MpL43T1tzKmJ/j/dFyYoaFrRuETynBU66HO5whs2eQfO/kNEeWDBlYrXHsdVVoZ7nD5SsOGYHwNpi8v7jxoQtPzz0VEBAQEBAQEBAwL4tKH/6Lv/gL7rzzzgXHTUzMnTsTEHC+IDSJCJ1bwWk+hNTgLHelOx/QhE5laDWP9f6votfpS+9kWenrsczTd4XpmqQibvOGS5sZTWQ53D1BNucipaCs1GZFY5yIJkg91nViJakXSiGdXKH73ZQYJcAwcVMS37XQ5slXmsZiL4TD20AWIW7lM6jeg8Vt8zgDneDN7go73m1Q0zSklHMKKHORy+WWJAfAcRzGxubP8jIMg3hJlOG9j+G7LqZpzt2gUkh86ZNND2OvvQyeue/Eskgc0boBseLCwn/P497SQzbR9U1EVtSRau8lc3QYz3HRDINwYw2RthqEbaCZBiFdY+3atbS3tzM5OXtThLKyMlasWEEoFCLM3OHjyvXJ90ySfLwL5c4Uv/yMQ2bvEM5githVLWix8ys/4mVFWhC7HrIvgdM1/1itAkrfVXyjiYCAgICAgICAgKIpWoS66qqrinZCVVRUsHx50FEmICBgJoYWJp05QMpZuFsfFJxTOW+CyXwvtl5Eydt82zrmBGuwDSrLwviemmrVrmsSL5HFGTillFhqhc4khgWoQq64EMf+SbId4+iVkeJKoKQFJW8phNvnDsw/1morjJV2cU/OKS476sT4HMwiFOm6TmlpKYlEYkpIKqYhxcljjneuO1NGR0cXFLMqKyvIJ/rwnIJQ5nseUp/np01IcpN92MuvQla1gFPoHogdBdNG6MU5EHXbAtsitqmF6LoTXf+kaSD1E8eClJJIJMK6detIp9P09/dPC1avq6vDsqyiXGNeMkfyie5ZBaiTcUfSpJ7rIbqtCWkvvaPyFYteBVWfgtH/C9m9zNokwFwGFR8Bo/6cTy8gICAgICAg4LVA0SLUI488chanERAQcLp4njd1oa5p5ybX6UzJeOOYWpS8N7sz5Di2Vkpz7HJsPY4mltbVYRkanHJ97uf9OZrXiRmd0o6jch7KV7MVgM2OXgGVn4Sxf4PMc6BOKTUTBoQugrL/WBhbLAuGop86D5PZLENSSqqrq+np6cH3fVzXJRKJzOtwPbkzHRRyAZfiODwejj4fkZBFfvLo1N+qiO6DXm4SpVxEvOqM5gegGeaM4+hkHNfDdX1AEgpHaWtrwzvmQJNSos8nmJ2EcjxyB0cX7Ox5nPzRBH7aCUSokxECjDqo/E/g9EHyIXD6AR+0SohdU+h4KksKjSECAgICAgLOAwrnEqrQileBrgsM/dVfPRHw6mVR5XgBAQHnB0opHMchk8lMhUZLKSkrK6O0tBRd1xedm3QukWhYWgyBIO8lUUx3dkSMKpaXvpkyez0diVGOJFIcTk5QHz7K8pJKbE3H1Jb+60topyGcaILiFahj6JVQfhv474Tk78E91k1Ur4PolYWLYG0ReTSmjahdgRpcoMzoZGpaYY5jxDAM6urq6OnpYWRkhLq6ujlFqNmElLq6uqJD4+ejmG1IKVH+idD0WfOgTkKzS7FKmhC+jZfOM5UHZ+kIuXQCbjbvks64tHeNMZ7I4isI2zrLGkupiIewTW2q7LEYlOOT6xwvfgIKsgdHiGyxgqDyU9FKC/+MJsA55m7UFveZCwgICAgIOMvk8h6pjEN71xj9wylc10fXJbWVEVY2lxEJFRoLvVwIIfjpT3/KTTfdVNT4O+64g3vvvZcdO3ac1XkFnP8syVXcb3/7W37wgx/Q19fHmjVr+NSnPkVLS8tSbDogIOAUPM8jmUzS0dExI2NmcHAQy7JoamqisrJySYSAs0GJVY9EYmkxDBnG9TO4qtCmPm61srb8j3hhuJ/tHY8y6WSAgjClyX6iusUF5XVcUr2MqLG07ihh6ciYiT9ZfGmbWRs9vYt8LVb4V/ouUHlAgbBALv49E5oOrRtQex6fNUR9NmTb1jnD1A3DoLGxEc/zGBkZYe3atYTDYdLp9PRtSIlt29NcT/F4nFBo7lyjxVBWVsaRI0fmLclzXR9DLxwHQoCcS3wVGpGajehaOdn2USaeOoif8UAI9FIba0UZZlNpoTPmGYpRqYzD9j0DdPUnplU8jgDd/ZOURi0u2VhHeamNfkojBF/5uL5/rMuenOqmp1wfPzN/QPupeIk8yvMDEWoutKXpPBoQEBAQELDUZHMuL7UPs79zdHp6Qg4mU3nau8ZY3VrO+pWV2NbS3pi97bbb+P73vw8UYhrKy8vZuHEj73nPe7jtttumbqL19fVRVla2pPteiM7OTpYtW8b27du58MILz+m+A5aOom/D3nHHHYTD4WmtuwG++93vct111/G9732PBx54gK9+9atcfPHFdHZ2LvVcAwJe8/i+z+TkJHv27Jkz5DiXy9He3s7AwACu68465uUmYlRTYjYgEGhCx9RihPRyyqwVrC3/Ix482s7v+nZPCVCaNJGi8AObdHM8OdjJA90vkVxEN7hiEKaGtaz4H1MZ0jEaSs6s9EwahYthLTpNgFJKkc/nSSaTjI2NMT4+Tjabnfs9tcKIDVcVt8/mdVBeN+8Q0zRpbW1l1apVJJNJ1q9fj20X8qmklFiWhW3b09w80WiUlStXnnFXvJPnUFpaOu+Y8cQkdlnhpoeu67OHkgtJtG4LjNmM/Xw3md39BaHRU+D6hQylZ3qY+HU77mga5c+fuTQfmazDUzt7OdKXmC1yC4CJZI7fPdfNeCI7JbBlXIfRXIonBjr41dG9/Kp7Dy8MdzGRz5Dz3MW77QJeUfi+j+N4OK6P7595qH9AQEBAwCuXXN7jpfZh9nWMznkuoRTs6xjlpfZhcvniSvUXww033EBfXx+dnZ3cf//9XHPNNXzqU5/ixhtvnDoXra2txbKCJigBi6doEerhhx/mzW9+M5WVlVOPZTIZPvOZzxCPx3n44YeZnJzk7rvvJplM8td//ddnZcIBAa9lXNelvb29KHGps7OTTCZzDma1eAwZpin2Oo5fWQtAIqmPXMLu0SFeGuucNt6UUcQpGS37JwbZPtyN4y/dD6/UJfaKcmSsOBEltK4aeRZs0Pl8nv7+fvbs2cP27dvZvXs3L774Ijt27KCjo4NUKoV/ilAiTAux8kLExmsK+VUVDbBmG1xwDay7AprWgKYjWi5Abr0eYS/sAjEMg/LycqqrqykpKeGSSy5h5cqVlJSUYBjGlABl2zZNTU2sXbt2yVxQUBChmpub5y0tHRsbAyOCHa3ENMxZy/Hs8uWQsEj8vh3leEjdmjUPy5/MM/lYF35qcY6jqfV9nyO9CfqHUwuOzeU9tu8dJO/4TOQz/ProXr677wke7TvIrtEedo728Kuje/nH/U/wWH87GVOh1yzOuaPFTIQWZBudz+TyLolkjt0Hh3lmdz/PvtjHgc5Rkuk8+SLzvwICAgICXl2kMnn2d44WNXZ/5yjpRTqli8GyLGpra2loaGDLli385V/+JT/72c+4//77ueuuu4BCOd699947tc6f//mfs2rVKsLhMMuXL+e//Jf/guPMnNt3vvMdmpqaCIfD3HzzzTMiH7773e+ydu1abNtmzZo1fOtb35patmzZMgA2b96MEILXv/71Ra2Xz+f55Cc/SV1dHbZt09LSwp133rkEr1TA6VC0d+/AgQO86U1vmvbYgw8+SDKZ5M477+Tqq68G4Oabb+ahhx7i17/+9dLONCAggEQiUbSwpJSiv7+fUChUdPjxuUIKjerwOjLeGzk8/hCg0IRF3F7Lz448MW2spZegS5vZrCC7Rnu4sLIRY47Q8NOaW8Sk5KpWEr87gj85t9MqdEEN1oryJS91yufzHDp0aIbrFMBxHPr7+xkZGWH16tWUlpZOcyIJKwxrLoVlW/GTWXKHhvHH8ghdYjSuRd98I5gaYpF3rY6XdZqmybJly2hubiaVSuF5HoZhEAqFpolSS0k0GmXNmjUcOHBg1hMZpRQjYwnqll/C5JEnwTs16F1iRZpIPN0BvkLqJkLqnHo8yZiFuSyGaLbIyHHIgy4tNGFiaLOXLZ5KLu9x+OjcAe6n4rgeKT/Hz47spDc9+3pp1+GpwU4SuQxvvKwN8etOVKYIh6MAa+XSH58vN1nPwfU9jr9/lqYv6ef/XKGUIpVx2LF3kKMDk3gnuZ86eiZ48eAQyxvjrFtRScg+v76/AwICAgLOHo7r0X5kfE4H1KkoBQe7xti8tvqsh5W/4Q1vYNOmTfzkJz/hwx/+8IzlsViMu+66i/r6el588UU+8pGPEIvF+LM/+7OpMe3t7dxzzz384he/IJFI8KEPfYiPf/zj/OAHPwDgBz/4Af/1v/5XvvGNb7B582a2b9/ORz7yESKRCLfeeivPPPMMl1xyCb/5zW9Yv379lPt+ofW+/vWv8/Of/5x77rmH5uZmuru76e7uPquvV8DcFH1mMz4+Tl3d9PKNhx9+GCEEN95447THt27dOlVHGhAQsDQ4jsPg4OCi1hkZGTlv89lMLUxr7HJiRg3dk0+hCYv+9CQjuQRQEABMLYomrBkuqOOM5zP0pSaIxe0lmZNSquCUCRuUvmkF7liGzIsDuEOFLCRhSMzGEuxVlWhxG7nENfiO49DV1TWrAHXquP3797Nx40bC4RMCifJ8vEmX1At9OL0TcNKFbfZIFi0+TmhDDWaThjRPb+66rqPr+jmzX2uaRmlpKRdeeCHDw8MMDg6Sy+UQQmDbNjU1NZSXl2PoktJll5PsfgHv2DEEYMZq8Cc93JEU0rCRuj2j85m1uhyxyqA3tZ2e3udIO8NopTa6ZlEZWkNzyWVEjTrMBcSodNZlLJEt+rktay7h0aMH6U2Nz+rMOpk9EwPUh+OsXVFGfvfQgts2amNokdMri/RzLirn4iVyKKWQYRMtbCBs/WXrvpl284zl0mwf7qY7NYbr+9iazoqSKjZWNBDVLWz9/MzAm41UxuH3zx9ldGL24yXv+OzrGCWVdbh4Qx2hJf6uCQgICAg4P3FdRf/Iwo7qkxk4Flp+LjrmrVmzhl27ds267K/+6q+m/ru1tZXPfvaz3H333dNEqGw2yz/90z/R0NAAwN/93d/x1re+lS9/+cvU1tbyhS98gS9/+cu8853vBArOpz179vCd73yHW2+9laqqQmfjiooKamtrp7a70HpdXV20tbVxxRVXIIQ4b6+PXisUfVbT0NAwI+fp0UcfJR6Ps27duhnjT74wCggIOHOOZwQtBsdxZpRtnU8YWpia8AWU2cvxlcP24SHCRgVSaAg0hFj4x3Q0n15wjHL9E63tNTmjhE65Pirvku9Pku+eQDl+QXBqKiV2ZStIAa4PukBocsnFp+O4rlu00Og4DgMDA1PlaspXeGNZEg8fxs+4gAQNjOooVnMYvdQAXaIcD28sDeUR5CvEJaNpGpqmUV9fT3V19bRlhmFMCSNGuJLSlVfjpkfJjh5BuVmMWANOewbdLgHETAFqbTn55Tl2HP0umfzY1OPK8/FknoH0LgbSL7I8/gZaYpdjzhNmvZjyqbCtUxI32b2/F2EUF/m0a6yHdau3wIERyM/9udbiNtFLG5ChxYkyvuPhjWTI7Bsi35MoZGYdQ68KY6+sKIS3n2NnTtLJ8XDvfnaN9k57POHAYDbJs0NHuLJuJZsrGgnpS5NHdjbJOx4vHhiaU4A6me6+SarKwqxuLTsrTsOAgICAgPMMUWi6shgcz1/wZtZSoZSa84bUD3/4Q77+9a9z6NAhkskkrutSUlIybUxzc/OUAAWwbds2fN9n//79xGIxDh06xIc+9CE+8pGPTI1xXXfejNBUKrXgerfddhvXXXcdq1ev5oYbbuDGG2+cUeUVcO4o+kzyyiuv5B//8R/56Ec/SmNjIw8//DA7duzgD//wD2cciLt27aKpqWnJJxsQ8FpnsS4EIcTL5lwoFiEElhYFwJAT6HJxmUJynst3P+viZxxy7aO441mg4Oqw28rRYhbC1lGOT757gvSOvhlZQPkjE8iISWRzLUZj6VnJf5qaq+8zNDSE5xUvZAwNDVFfX4+mafg5l+TT3ccEKNBKLSKbK5F+EnXwCfxnOlGegzBtZPMq2HAxKlqCMJfGRbZYPN8nn/fxfB9fKXQp0TQ5b6thKeW8oedCSjxl4IQr0ULlCMAWOimtH2YRNLWyEGqlxvbufybrjM3c4BSKw+MPYcgQTdFL0eTsc9AWkb9UWxWlfWKIjOcQKbKL5WA2yZifpe6Ny0m/0I8zmIST7PrC1DCbSwlfUIOMLk6M8R2PfNcEyae6p4lPx3GH0iSH0tjDKcIX1i1a4Dpd0m6eh3r2sXusb84xrvJ5uPcAEsHmykYs7fx2ROUdj+7+2RtLzMbh7nFa60sI2YEIFRAQEPCqR4GuS1hE7x1DkxRdv3eG7N27dyqX6WSefPJJ3ve+9/HFL36R66+/ntLSUu6++26+/OUvF73tZDIJwD/8wz9w6aWXTls2Xz5oMett2bKFjo4O7r//fn7zm99w8803c+211/LjH/+46PkFLB1Fi1B33HEH9957LytWrKCxsZHu7m7C4TD/5b/8l2njXNflJz/5Ce9+97uXfLIBAa9lNE0jGo2SSCQWHnyMSCRy3otQJ1MTLll40CnUzrGOl8qTeq6XfPf0sjSA3KFR9OoI0UsbC+LNE13TLuZPxk/lmXy8i+i2JsyW+FlzD3meN2fHw7nI5XK4rotlWXhjGdyRY90ESy1il1SiXnwYb98OTn5yigTe6CDqwLNol14Lq7YUsqTOEb6vyGRdjvRN0HF0gvFjuVu6LmmsjrKypYx4zMJaZLlg2s0z6WTZMXyUvnQCT/lEDJMNZfU0rS3DkAJn7/C099lYFqUr+cysAtRsn5vOid9TG944pwgVDRmEbJ1MduHMJtOQDDoZTF1b1N3LhJOlqbKM2FUteCkHd2AS5Spk2MCoiyJM/bTEUm8kM6cAdTLZg6PIsEloXdU5yZsayEzOK0CdzO/721kdrznvRaijA5M4i7jLPT6ZYzLtELLP7+cVEBAQEHDm6LqgtjLCZKr46oeaykhBuDrL/Pa3v+XFF1/kT/7kT2Yse+KJJ2hpaeHzn//81GNHjhyZMa6rq4ve3l7q6+sBeOqpp5BSsnr1ampqaqivr+fw4cO8733vm3UOx29GnnzTtpj1AEpKSrjlllu45ZZbePe7380NN9zA6Ogo5eXlxb0AAUtG0Wf5LS0tPPfcc3zlK1/h8OHDXHfdddx+++2sXLly2rinnnqKrVu38t73vnfJJxsQ8FpG0zRqa2vp6+ubauu+EDU1NeddKPl8lFsR6sOlc4Y0n0p9uJRya2Z5lJd2SD7WhTOQnHNddzBF4qFDRLc1Y9REcfrnHouC1LM9GDVROIsX3sW+r6fi512y7ce6qEhBdGslaudD+Ad2zr1OJofc8RBICW1bzokjyvcVY4ksj2/vmXFy5bo+nb0JjvQm2NBWxeplZUULUZP5LA/17mfvWD/+ySpTBg4lholrFtc3rKY6XEv+uX6g4BoSDSa93S/M2J7QZKEE8xRy3gTDmYM0RLfMmlNmGBotdSXs61i4o41SYEiJvsjudZqQBYdjyECGDIzKMxcQfccj2zG2oAB1nOzBEay2crSzLEJl3DwvDHcVPT7ve+wZ6+PS6lb08zSs3PcVyfTiuxidjc5HAQEBAQHnH4ausbI5TnvXWFHmJiGgrblsyfOgcrkc/f39eJ7HwMAADzzwAHfeeSc33ngjf/RHfzRjfFtbG11dXdx9991cfPHF/PKXv+SnP/3pjHG2bXPrrbfyv/7X/yKRSHD77bdz8803T+U7ffGLX+T222+ntLSUG264gVwux3PPPcfY2Bif+cxnqK6uJhQK8cADD9DY2Iht25SWli643le+8hXq6urYvHkzUkp+9KMfUVtbSzweX9LXLaA4FnX2u2LFCr75zW9y//338+1vf3vWLKgrrriCX/ziF1x22WVLNsmAgIACpmlSWVlZ1NhQKERFRcUrKkckrBtsrWwuevzWymbCp4QRK88n1z4yrwBVGKhwRzKktvdhrVj4DohyfHIdYyjv7GRsSSkXHfYtpSzYjD2Ff+zC1qyPIbKj8wpQQMERpEDt/h3kiuu4eKakMg6PvXB03rt7Cnjx4BCHj04U5RZJOjnu636Jl8b6pgtQJzHuZPnxoRcYKlOYbYX3WkZNcl6CrDM+Y7ywtFlFKICx7CE8Nfv8DV3S1lJGpIhStXTGYVlpxaIiHDQhqLSjxa8wByqfRSXHUUdewj/4PBzdS3iZRfTiGvTquTOvjuOnHZzexbn2TgdP+XROFtei+jiHEsPkvCK6B75MCAHyNNypco7jMSAgICDg1UckZLK6tTh3zurWcsJnoUT+gQceoK6ujtbWVm644QYefvhhvv71r/Ozn/1s1tK4t7/97fzJn/wJn/zkJ7nwwgt54oknZlRMAaxcuZJ3vvOdvOUtb+FNb3oTGzdu5Fvf+tbU8g9/+MN897vf5Xvf+x4XXHABV199NXfddddUCaCu63z961/nO9/5DvX19fzBH/xBUevFYjG+9KUvcdFFF3HxxRfT2dnJfffd94q6Tno1IdTp3noPmJdEIkFpaSkTExMzAtkCAs6EXC5He3s7o6NzX5yFQiHWrFnziivHA8i4Ds8NHeF3/e3zjruydgUXV7XMCCL20g4Tv2rHn1ygmN5Xhe5fAsrftY7Uc7144/MHBWvlIUrfuPys5eEkEgl27lxAPDqJyspKVq5ciebC5O+P4PQnib2uFnngIfz23Quur8dt0ARi4zWIddsQ2tlzzbmez+72YV46OH/nv+OELJ0brlg274mVrxS7Rnr4ZffCz1W5HtUqxM2tW3B/fQS9PIR7seKprm9MGyd0WcgLm+Oivya8kfUV78TQZs8u832f0USOx184OqfjRUrB1nU11NaH+bdDzzKcLa4LzsqSKt7WfAFh4/TCt5XvweQoas+TqKP7IF843lXew8tryOVrEeteR7bbI3tgfvHHXl1B5KKGgmvsLJHIZ/nmnkfxF3GaUh2K8Z4VFxE1zk33xtPh6MAkjz5bfFtoTQrefNVySqPn73MKCAgIWEpeDddR2WyWjo4Oli1bhm0v3m2ezbm81D7M/s7RWR1RQhQEqPUrK7GDDqoB5wnFHvdFH7Ef/OAH51x2vFV2S0sLb37zm7ngggsWN9uAgICisSyLtrY2RkZGGBgYmJYjZNs2VVVV1NTUYNv2K06AAgjpBhdVtVBpR3lhuIsjyTHUMYeLQNAcLWNrZTOtsQpCs7Rk9yayCwtQx1EKPEW+awKjJrKgCKVyZ9dhcdxSPDFRXDliXV0dhmGg8NDjNs5gCr3UwD16eMF1hSamWrKpvnbEys0QOnOXzVzkHY8jPcU9L4BMzqV3KMmKpvicx3HGzbNj9GhR2xOaZNDNMOJnqKqP4U3mMLQohRehcHxplk20tAZdM3H9HBl3FMV0N5apRZBy7p9OKSXlJTbXbmuluy/B4aMTjE9mUaogrDXWxFjZEicaNpEaXFTVwgPde6bWD2kGhtRwlU/aPeG40oXkkqqW0xeglA/jg/i/+xGkxmcOyGXw974ARw9jv+EWlBsnd3iWcce35x/rkHNasykOKcCUOlmv+FI08zwtwzuZilKbkqhJIllc3kddVWTewP6AgICAgFcftqWzoa2K5Y1xDnaNMTCcwvF8DE1SUxmhrbmMcMgIfh8CXpEULULdc889817QZrNZPM/jc5/7HB/5yEf49re/vSQTDAgImIlpmtTW1lJRUYHjOLiuO9U5TNf1eTtIvBII6QZr4jU0R8tIujnGj5WLxa0QUd0irJtzfh+pIkKhT8XPOMiSIlwGZ7kkxjAMli9fzp49e8jl5hfSmpubiUQKpVPC0LDaKsh2jgMK8guLcMI8KRDbyTNnMvsSkct7i87CGRhO0VxXgjlH9lDGc+iZTVCZDSEQumRvdpj6zctRLwyg+zYVpSvJegkaKrZQE1qH9BW+7yA1C1c49GZ2MZjeTd5PAYL66GY0Mb8TTkpBJGSwqrWMlvrSKSePFIUA9pNzG9bGa0k7eQazk2yK1FFhhlGej5CSpJdjZ6qfQ4lhrq5voz4SL+65zkYmhf/EvbMLUCcf15Pj+L//KaFr/5D80UlUfvZujVrUPKsuKCjkX7VEy9k/MVD0Oitildhn0dG3FJiGxurWcp7d3b/gWE0KVi+rwF5kUP8rDZXPQj6DGuwqlAcbFqK6Gawwwlpcx9SAgICAVwuWqWGZGpvXVuO6fuG8TakZ5xIBAa80ij6rOd76cD7a29v5xje+wd/93d+xceNGPv7xj5/R5AICAuZGCIFpmvO2rH8lI4QgYlhEDIua0CKs2HqRQpEolF6pvAeahCKinvSK8FkVooQQhMNh1q9fT0dHB+Pj4zPCym3bpqGhgaqqKgzjhBgiQwZG/TFnj2lBNj33jqRAWvqUEwrDhLPqaQHvlNBry9SorYxgGhpKKdJZl4HhFN5JnQw9X80byrno7B8hyPouxAxilzehBKwKvxVTmeTGuxnvfQQne6IMzY7WUVfeRmPlVvZN/BIQhPSKoncnpSRkzy/UhHWTbfFmckNJxrcP0Nt1EN/zQUCkLs62VdVct7wNYRuYpykuK6VQg0dgYmjW5UIWBDp1LINLjQ7CUCdmYxW5w7N0DtQlVuvcDrWlIqSbbKlsKlqEMqXG+vL68zaU/DiaJmmpLyGb83jx4OzvSWGc4JIL6qiIn/2mAS8XyvcLJaIvPY7q2T9VIgqgNB3qVyLXXQHxKsQszteAgICA1wKGrgWiU8CriiW9tbZy5Uq++tWvcvDgQb773e8GIlRAQMC8eL6D46dJu6N4fhZdhgjp5RgyhCZP74JDj4cQhkQ5C6hKQiBsHfIeZl2MXNfCpWKhVRUF8eYsIqUkEomwatUq8vk8Q0ND5PN5pJTE43FKSkpmdbtJWyeyuR5vLIFsWIZ/6KXZdyAKLpaTxTRRtwKWuDuen/fAK0SFCyEI2xqmLrEsnbbmEuorLJzUEH5+EpDoNeWwso7O/gyHuifIOz6mqc0byKyfRpikLiVSCKRtoJSiJFvBUMevSadmlvVlk31kk32ES1tZ1/Q20A1Meebd6E7Gzzhknu8jd3gMQ/lUmOEp55Q25uE/3UemM0ns8maIneYJaD6L6m2fuoM6AyGQto53UnmYf3AH1pYbyc1S2Wk2lxacdOeA2lAJ6+K17Blf2DV0ee2KGY0KzlcsU2f1snLK4zYHj4zRP5TkuP6q65LGmiirWsqJl1iv2gsPpXyYGML/3T2QnCl24rnQvQ9/sAt5xbtQVc2IV7jLNyAgICAgIGCJRajjvOlNb+Iv//Ivz8amAwICXgUo5ZNxxzk6+RR96V1k3RMXICG9nLrIZhpjF2Nri3dbCFPDbCwh1zG+8FhdYtTHkBEDp2/+bl9GQwla/NyVhRx3uYXD4Sk31EJlllrEROhx1IZLUZ17UCe7jwRIU0PYeqGM6vjLqpuI1g1LFkruZx28yTzZA8O4Y1lQChk2sJaV8dZLW1CGT3JgL0N7O3Dz07vyWZE4zbWrqbuwhid3DbGsoRRDn1toCusm5VaE0Vxxwd4AK0sqMY9lOvlulmTXM2iOh6lFcbz0jAwogFyil/BAB7HGSxBi6UrQ/JxLemfflNtIClloWXvKIe8Opph8oouSq1qLDsX3fAfXz5D3U3h+Dn39BRgr1qB3HIDu/XDyay9AGBJp6/jHylnV+DDaLPvSK0KEL6w962LsccKGybWNa5BCsHusb9YxmhBcUbOCzRWNWNorQ4SCghuwsSZGZTxE3vHI5Nxjgq2OaWhzlqG+asim8Z/6+ewC1Mnk0vhP3Iu8/oMQKT03cwsICAgICAg4a7y6QwYCAl7lFJxEGRQeKJBCQ5M2ujx/S/SUUqScIXYM/QspZ3DG8ow7yuGJhxjK7GVT1XuJGFWL2r60dOy11eR7J1G52fNsptAkkYsbcCey4M9d92XURole1oi0z/1X5mJbx0pLR9XUIzZuxT/0YsH5IkSh25sUMwQOseFKsE7f3eMrhad8NCFQGY/kU104R6cLet5YFqcngYwYhC6pQZPGDAEKIJcaJ3foacqbNnDl5uVEo/MfxyHNYENZ3YKdFI9TYti0RCsQQqCUwpkcwM2MI9GwtRIsGSXvp/FUwREkkIUgcmGQnxjAr0mjGUvnGPPTDtn2BS7Aj+EOpHAGU1gt8fm3qXyy3ji9yefpS24n7Y4cc5wMUxZeSWPrZVSueAf6s7+FsZPcRVIgQzpIMSVEnYwwJGZTKeEL65CRcyv0xAyb6xrXsrWqmReGu+lOjuH6Ppams7Kkkk0VjcQMG/sV4oI6FdvSsS2dktda97uRXhidXVicQWYS1bUXVl+MOM/LLQMCAgICAgLm56xcUT344IOsXr36bGw6ICCAgviU9cbpST5Pf2onGbeQY2NpMWrCG2mMXUxIL0eX599FTd5Psmv47ikBShMmVeG1VJgNGNLEUy4T+WEGMi+xe/jHXFj9fiwttqh96GU2sStamHy8a+6gcimIXtyA2VgKro/UNbLtI7hDJ7KU9OoI9opyzMaSoh0o5wPCjsBFb0JKDdW5a/ZBUkNsuAqxcjNikaV4SinSbp5JJ8ee8T6yroOGZKVVRsWGCsyoRf7AyAxhzx2bYPzXI5Ret4aSqgSJoY5Ztz9+dDeNGyqxjPmzwHSpsbG8gT3jfQxnF3ZDXV67fEqoUG6O7OiJ/QskQshjx1qhH6M49r9jz5rsyGE0K4ZcAreNcjxy7aPzip+nkj04glETnVMMVcon6fSzc/AHpN3h6QulxlhyP2PJ/dTEL2LtpW/FeOJXkDhpnCyU5UlLQ5VXIaTAXlWBjJlYzXGEpSFfpoDssG4S1k0qrSiu8jiupppSwzzPg8gDZqKyafxD2xe3TscuROuGs9rFMyAgICAgIODss6RnbocPH+Yb3/gG999/P1/72teWctMBAQHH8HyH0ewhXhy+B8effuGd8ybpmnycnuSzrKt4B9Xhdejy/Am1VUoxmj3MZL4XgaQlto2GyBpkvgNSD6P8SRA2cXsjLVW3MJw7ymS+Dyu0OBFKaBK9Jkr8+pVkD42S6xjHTx1zt1gaVnMpVlslWqmFNDQwNayVBbFJuT7K9RG6LPyz9bMewHw2EKEYbH0TYtVFqIPPo4a6wHPAsBENbYjlF0I4tmgByvU9BjNJHuk7QOfkaEGuUQo/6/JU2qE2VsoVDW00VdSTf7oPjoVdo3x8L49QivQLRyndtoLEUCenduXTNUE4ZJAbPYxdUg0LHL8x0+YdrRdyb+dOhrKzN9CQQvCGulWsjddhHHNRKBRuenzm64aY+v8Zzz09hvJdWAoRyvVxBosvIwRwh9KoeUSrnJdg19C/zhSghAQrBG7hMzAw/hyGFqbtwivQf3fvKWMpZESt2gzlpUTK42e9C95CKOVPlUEWRMRXjiAcMAfKW7gM71SSY5ztLp4BAQEBAQEBZ5+iRahYLDbvhVgul8N1XZRSfPjDH+aTn/zkkkwwICBgOpNOHy8O343jzyxnOo6n8rw08v/QZYiq0OolzbE5E/J+ip7JZxForCu7gQrp4PbfgeOcEgqd+j1iPE5l/BY80UTeS2FqkUXtS+oSSm3CG2sJra1CeX7BdaJrCF0iTwlWFkIgXkFup2IQdhjsMJRWIk7uJGeYCH3xJZu+79OfTvDjju2k3BMh1ihQucL2+ycn+Mn+57mx7UJWbKkh/0yh3Mb3nKlQbHdgAs1tIl5VR+pYSZgUYJo6uiYQQuAmh/CdLFKfX4SSQlBpR3nPiotoTwyxc7SHgXQCTykiusmq0mo2VzYSt8LYJ4tH6lgw8iJY7Pj5N0bhmFzMKr7PXBfhvvLoT+8m5czstiYAZVggNfALJaq9o0/S0nolelnt9LI8gEgpon7lyxYCrXwfcmlIjKD6DoHroEIxRNNqsMII69xlswUEBAQEBLzc+I534qYegC4LN1EDAl6hFC1Cvetd75pXhLJtm5aWFt785jezadOmJZlcQEDAdPJems6J380rQB3HVy6dE49SajVhaedL+YIi6QywvOQKKkSe/MDfgMrNPtIbxxn5eyzloJW+Y1F78ZWP46fwlQcoMATS0BBCw5DWK9LZdCYs1u00F2kvzy+7d08XoCiIBieHoPtKcX/7Lj608UrM8hDeaHpK/CisAPkjE0RaqhG5kcIcEUx/WxSek0YPxReclxSCmGmzqaKBVaXV+KpQTieFwJAa1izlWkIIpGHh59MzNzjXfnSLGaFap4so5HctkFo2ff+mNuex6/hpepPPz7OyBtE4TI4VXGnKoSf5PCtaViNPFqGsMHLbH4C9ONF3qVD5LKq/A7Xn8UJm0MnLXnwE6tuQG18PJeVBNtArGalBJA7jM3MB5yRaxpJ9/gICAgJeAfg5Fz/lkD04jNOXRDkewtAw6qLYbZXIiHHOGoWcb7S2tvLpT3+aT3/603OOueOOO7j33nvZsWPHOZtXQHEUfdTeddddZ3EaAQEBxeD4aYYy+4oeP5brJOOOnkciFOjSpj7chtP3uTkFqBMonLF/wYxeAfrCXZGU8sl5kwykX6J78klGsodwvBS2XkpDdCvNsddhyAiWFsPSF1fiFwA9qYnZs5dmMfQ4vsfOkaNc1lpVEKFOQeVcNHTkEgqCUkgiRnE5aELqmCUNZIcPFr19q6zlmBB15ghLw2wpxRmYvYRwNszGEpijNM5XHpP5uUOeBaB0A2LlkJkEJ0cicwQvtrbQkU9qULccueFKiNcsqQvK9z0cP03aHSHvp9CETsSoRhchDO2EQKqcHKp7L+qZ+6aLlsfxXOjeiz/Wh7zqFlS8+jUnKL9aEFYYuWIzfs+B4tdp3VAoKw0ICAh4DeBnHTK7B8nsHZpugs64eIkc2QMjhNZWEdpQjbSX1sl/2223MT4+zr333jvt8UceeYRrrrmGsbEx4vH4ku5zLu666y4+/elPMz4+Pu3xZ599lkjkxA0zIQQ//elPuemmm6Ye++xnP8t/+k//6ZzMM2BxvDal04CAVyiJ/FF85SxiDcVIpp241XzW5rRYasObILsb5RZ3B1wAJB8Cox7k3F3cfOWTzPexY/hfGMm04/gnhI+0O8LB8V9zeOJhLqj8j8StFmLUEtLLzvDZvHZIu3l2jfbMvnAOHWDPUC+XrWuFHRIhdeCE6Ch0iSI/+4oAQqKZs7txlFKQy4DyC/vWLcQiO6MJTSdUsYzsyKHCdhZAGiHMWM2SiR5CFrrNpXcNzB2eP20FsNoqZ5SRTqEUC+XlCAToBioaB9/H1y0oqUBsvhZRvxLsaKGEcwnJugn6UtvpTT5P0hmYetyQIarC62kpuZyIXo0mdUiOoZ69f3YB6mSS4/jP3oe88j8EIdWvZCrrYbZy0Nmwo4jmdYH7LSAg4DWBn3MLAtSemSX2UyimlocuqHnNOaKqqhbunh2NRolGg/OE85GigmL+7d/+rXDSv0iUUvzbv/3botcLCAiYHc+f56J9rnUWdBudOwwRoi60ApV6vPh1ZBiR3g5q/ueedcfYPvTPjGYPTROgTsZTDjuH/pWk089Qej85r3gXymsdXykmneysy4QmEXKmODOZy+ALEIZEaEYhIPsYZlMJXm5izv2ZsZoZeVDKc1HpSdSRPfhP/xz/9z/Cf+wnqN2/RyVGULmFy1RPRpoRIvWbWLDER+pEG7cilsgFNbVZSyd6cUMhEGsBwhc1oJXOvf9CqWlxApIQEqHpWKFKZKwSue51iHj1WRCgJtg9fA8Hxu6bJkABOH6G3uRzPN//XcZzHXhuDnXwhYLbqRiGuiExsqTzDTjH2BHkZW+HyAIuV9NGvu6mQHAMCAh4zeCn8gUHVBFk9g7hpxZzg3rpeOyxx7jyyisJhUI0NTVx++23k0qdcMy3trby3/7bf+M973kPkUiEhoYGvvnNb07bxle+8hUuuOACIpEITU1NfPzjHyeZLJyfP/LII3zgAx9gYmKikN0qBHfcccfUtr/61a9O/TfAO97xDoQQU3/fcccdXHjhhVP7euSRR7jkkkuIRCLE43Euv/xyjhw5clZem4D5KUqE+vSnP82qVav40pe+REfH7C21T6a9vZ3/8T/+BytXruRP/uRPzniSAQEBBUxt8SVkljZ/m/tziZQ6thZDeXOLD9PGo2FIG+EnC92U5sDz83RPPk3KGSTvzZ/xo/A4MHY/EaOS8Vz3oub/WkYA5WaEMiuMdqobSICYxaEzVWrnq0LHtWNh6HpFFFmik5+cywEhCFWunFb6ptw89HfiP3gX6vH/B0cPFISIgU7US4/h3/cd1IuPojLFC4tSM7DLWog2bUWaswswml1Kaes2jGg1coldGEKXGA0xYpc3I8OzO7mMxhIib2uBlRqjziEG0i8xmN7LZL6fnDc5FZauCYOq8NpF7b8+ugVTW1rh6Th5L8WBsfsYyc5f7pj3U+wavpusP4FaTD4QoA5tR+VnF0YDzn+EkBCvQr7+vYVSu1ObJUgNGlYhX/9eqGpCzJLtFhAQEPBqw3c8sgdGim8GqiB7cLgQXn4OOXToEDfccAPvete72LVrFz/84Q957LHHZjQn+9u//Vs2bdrE9u3b+Yu/+As+9alP8eCDD04tl1Ly9a9/nZdeeonvf//7/Pa3v+XP/uzPAHjd617HV7/6VUpKSujr66Ovr4/PfvazM+by7LPPAvC9732Pvr6+qb9PxnVdbrrpJq6++mp27drFk08+yUc/+tGgrP9loqhf9MOHD/PVr36VL3/5y3zuc5+jtbWVLVu2sGzZMsrKylBKMTY2RkdHB8899xzd3d1UVFRw++23ByJUQMASUmLWY2ulZIsUcTRhUhVac5ZntTikkNh6BemcQM3zCysQ2HoZQmggdE51qziuh+v6gMBXPoYowdJKZjguZiOR7yHp9OP6DmVW86I77y0W1/fInuTwsDQd4xVSVlIofUsTcnJcFynDiVWQkxovpsbZOzFAwskWBCZbR+U9lH/iPa2MlCAcH+UU3iep2yAU4QsbyKWOzlEGJ4g0bESPVJyYg+fBYDf+Yz8Cd467fZ6L2v8M5POw5Y2IIoO1pW5il7VgltThJAfJJ/pQvofQDOx4M3qoFKFZCHl2OkxKU8doKqG0JoLTO0m+awI/7yF0ib2uAr/SZ8IZx8sZHJiYJOU4mJrG8hKbmJHH1hJEjAoMLURT7DL6kttRs4V0nULEqKbUXHyZ7vHjYeq9kxrCmilk5b0k/akXi9pm3kvSm3yeZXUtiKGu4ueSmkB45/akO2BpEVKDeBVc/GbExmtQA52QTYFpI2pawIosuUMvICAg4LzG9XH6F+fUd/qSKNeHJeyY9+///u8zStm8k35z77zzTt73vvdNBYO3tbXx9a9/nauvvpr/83/+D7ZdcLNffvnl/MVf/AUAq1at4vHHH+d//+//zXXXXQcwLVi8tbWVv/7rv+aP//iP+da3voVpmpSWliKEoLa2ds65Hi/Ni8fjc45LJBJMTExw4403smLFCgDWrl3czbuApaMoESoSifD5z3+eP//zP+cXv/gFP/vZz3jiiSf4yU9+MlWmJ4RgxYoVXH311fzBH/wBb3vb2zCMV1e784CAlxtDhqiNXEhn4tGixleH1xVdonOuEDKMZq8jlDtAzkvgzVJmpwkTWytBk2Yhx8ZcDqLww5rLuyTTDu1dYwyOpvE8hdR8qiorWd/4UZLRQ+we/Wfy/iwB2icxlNlHmbV8yklyNsh5Dmk3z+7RPtoTQ+R9F0NotMYq2FjeQNSwsBeZZXQuUdkUqu8Q6tAOGDyC5rqM5VIY5fVsXXEhW1rW8duxXvZPDIKUaDELL5mb6pS3saoRceSkEylDp+Ty1Wg1GtmeU10vAiNaSaiyreA60k5yRbg5/J6DUNkEIz3gzF1iqjp2IJpWQ9Pqop+nkBqaDCHjzZgldYW7j0IgtTN7b5Tr4+c98PxCZpOuIXQ5I9dJ6hroGnJFOWZjKSiFkpATKUZyaR7uPcSBiW6ck7KSftsDLbEarqxbQ0NYJ2YKInoVK+LX0T7+a+a7harLEOsqbsKUxYuvyvcgm0YNdKIO74T0BCCgpAK5cguU14EdQQiB5+c5mnwWtYjef73J7TQ1vgfjpSeLL8kTImiW9ipBmCEwQ4hYkNMXEBAQoBbpalKOv+Q/h9dccw3/5//8n2mPPf3007z//e8HYOfOnezatYsf/OAHJ+ahFL7v09HRMSXwbNu2bdo2tm3bNlVGB/Cb3/yGO++8k3379pFIJHBdl2w2SzqdJhxeumuY8vJybrvtNq6//nquu+46rr32Wm6++Wbq6uqWbB8BxbMob7Ou67zjHe/gHe8otEv3PI/R0VGg8MZqS9hNJyAgYCaaNGkueR1j2UNM5I/OOzasV7Iifi2Gdp51E5I2Ivp69Mlfo0kDX7k4XgbwQUgMGUIKHYEsCFAA0deDjJHJuuw8MMjh7nFOjqlz/RxHR4bYedDnorWtbK39JM8Pf2NeIcrzHaSQ87qxzoSMm2fXSA+/628nf0rQcl8mwTNDR7i0uoVLqpYRMcw5tvLyodKT+M/eD0dPdGPUpMSSOrnRXpzRXozDO3jjlf8BXykOJoZAk2glNirvUSJM1sRrcHf2IGMmVnMca2U5MmwgNChdcRVeNoGXTyGEQLNLkUYYqVtT1uhc3iPveIyNpnGjq7Ar1xO/wMToP4Ds3AmTo7PO3W9/AVnVtGgHhRACoZ35e6E8Hz+VJ9s+Sq5zHD9ZEFqFpWE1lWKtqkQrsWaIUUIIhF34Wc57aYbTKX5w8PeM52cexwronBygJzXMO5Zdxpp4iIhRQlPsMnRp0THxKLlZHJMlZiOry99KqdlYdHmh8lwY7cN/8mczX/PEMP7R/VDRgLzs7ajSClyVJ5lf2JF4MhlvDF8TYIUhnShqHVFSCWcoFAYEBAQEBJxvCEODTJE3ZChkby712WwkEmHlypXTHjt69MS1RzKZ5GMf+xi33377jHWbm4tzWnd2dnLjjTfy//1//x///b//d8rLy3nsscf40Ic+RD6fX1IRCgrlerfffjsPPPAAP/zhD/mrv/orHnzwQS677LIl3U/AwpxRgb2maUUl0wcEBCwdIT3Oxqr3sm/0Fwxl9jHT8SAos1pZW3ETIb1itk28/GjliMhViNQjSKGh6SbH7CcnhKfjmMvAvoBs3mf73gE6emZeWB9fx/V8ntx9iG1iBesq38OOke/OOQVDC6MUZ6UWPOc57Bzp4aHe/XOO8ZTPEwMdeL7i8trlhE7NQzlNfNeHY3fQFCCNgvtmMahcGrXjt9MEKChkPJWaNuP5DHnfwxnphcd+zBtf/x6OpsbJeA4IQWk0yjuXbSJmhBHXryyIK6fMQ5MhNGN2gdTzfMYnc+w7PMLR/gROYgxyheyfaNSmtaWGtkvfjb37N9B/eOYG+g+B9/KEdCrPxxlIMvlY14yudyrnkW0fJXt4jMhF9VjLy+fsdpfxPO7tfHZWAepkHN/jZ53PUL/+LViag6mFaYxeTE14A8OZg4xmD+IpB0OGqY9uJmJUY8gIUizimBgfxP/dPYUyqbkY6cH//Y+Qr/+PiLBdVEngNIRAaRoUW/YoBGLlZsRpCLjK91Fe/pgLUoEodG+UmoFSaup9UwqELpBmkEUUEBAQEHCO0CVGXRQvUXxjIaMuuuhzvTNly5Yt7NmzZ4ZQdSpPPfXUjL+Pu6Sef/55fN/ny1/+MvLY7/8999wzbbxpmtPKAOfCMIyixm3evJnNmzfzuc99jm3btvGv//qvgQj1MhCcWQUEvAIJGxVsqHw3GXeco8lnSDtDKKUI6WU0xi4hbFRiyuj5G7anRSF+M6gMpJ8+JiLNMlezFSo/AXoZ4+OpWQUoKHQGk8JA4aOUx3N7j/COazYQMapJObOFHQvqwpvIeZNowiyEnvuT4I6CnwRhgV4FMgzSnmX9+Uk5eX7X317U2GeGOllXVnfGIpSf91BZl1zHKPmjkyjXA01i1kWxVlQgQ3rx7XvTCVTn7Hk+mpTEzTAZL0/GdXCGezAHOllVWk17Yog18VouqmqmzAyjnUaOkuf5DIymefyFHvKOh/J98E8IGslklt0vddM/WMoVW68j5N0PhonXtB4VjRfCjPMZDCFflkotbzzL5O+PoHLznAj5itSzPUhLw2yJz8ibcr0cfakRelLDRe0z5zlsH+7gDfUb0KWBJk00adIQ3UJNZANK+UihocvFd/dT2TT+i4/OL0AdJzGM2vc0+qarsRfZEMGUYTQzStH1dQ2rILy4fSjfx3cz5Ma7yY4ewcsmAIXUQ0TqN2OYlTh9SXId4/gZB6RALwthr6ooONfswHUVEBAQEHB2kYaG3VZRfDi5ALutErmEeVDF8Od//udcdtllfPKTn+TDH/4wkUiEPXv28OCDD/KNb3xjatzjjz/Ol770JW666SYefPBBfvSjH/HLX/4SgJUrV+I4Dn/3d3/H2972Nh5//HG+/e1vT9tPa2sryWSShx56iE2bNhEOh2d1SLW2tvLQQw9x+eWXY1kWZWXTy7s7Ojr4+7//e97+9rdTX1/P/v37OXjwIH/0R390Fl6dgIUIRKiAgFcophbF1KJEjCo8VXB9SKFjnIZo8rKgx6H8AxC+BJKPQHYPHM+QMVshciWELwWtjFze4+CRsTk3JYTE1MJkXQfwcFyXzt4EjRXb2D/+sxnjK+02NGlRaTag+2lIPQGp34FzUrc8rbyw/9i1oFdPZVIthOt77B7rnZbfMx8K2D7cRYW9Bus0S4v8nEuufZTUzn5wpztQMqMZMnuHCa2tJLS+esELaeXkUe3b5wgNL6BJQURYhHUT1/ehcw/XXvlOrqpbiaUZWGfQxSqVdXhie0GAmmIWMXV4aIL2njLWXP5usmPD9PX1kjrSi+/7mLZNNSHKpYFhGOesVNzPu+THMmhXNSKPldX5WRfZncQ9MoF/srVeQXr3EHptDC10QoRSro/KKSqI8cHW6ziQ7uXF8Q4m8vN3fXxxpIMrazdw8qdfCIkhzvD7IJuEvlncZnOguvYg111OY+wyelPbKba9T1V4PZq0kBe/Bf/xn0A+M/fgykbk1uuLDp+HggDlZkZJdD6F70x/LUOVq2BCY+TxFxB5idBNjjcP9say5A6PYTSUEL20ES16/pXOBgQEBAS8upARk9DaKjJ7hhYcG1pbhYyc+5skGzdu5NFHH+Xzn/88V155JUopVqxYwS233DJt3H/+z/+Z5557ji9+8YuUlJTwla98heuvvx6ATZs28ZWvfIW/+Zu/4XOf+xxXXXUVd9555zRh6HWvex1//Md/zC233MLIyAhf+MIXuOOOO2bM58tf/jKf+cxn+Id/+AcaGhro7OyctjwcDrNv3z6+//3vMzIyQl1dHZ/4xCf42Mc+tuSvTcDCCKXU2QlEeY2TSCQoLS1lYmKCkpLF3a0NCHjN4U2AyoGfA2EU3EcyNiX8ZLIOv3z0MLl5ghp95ZFxR3H8DL7yqK8s46JNEZ4e+tK0caaMcGnt/4eplVBuViLST4PTD84g5F4qzONk9Gqo/E+FssAiSpiSTo57Dj9PX5G5NgAlhs0HV28jYizeqeLnPXIHR0g937vg2NC6KkIX1MzriFKZJP6jPywEgBeLbiDf9klEOFb8OrPgej4vtQ+z++AJB5BSCrLpGTlBdfXlbLywlZ6eIyR6OsA5KeBeNxCxcgzLpq2tjdLSUnT97N5z8XyflJNjf18Pu4aOMpouOIfKQmE2VjXSVlqNdihBfu/ItPVKrl2OWV+Cn3PxMy65gyPkBicZTyfxTQi3lGM2lbInfZRf970wp7gpEfzFlvdQai5tfoK/+3HUzocWtY68+hbcuiZeGLyL8dyRBccLNC6p+2PiVjPKc2B8CLXvKdTRA+Ce9L5G44iWDYi2rYhI6aLm5GYTTBx6FN+ZLm5ZZcsxaWLiN/umgmA1K3IsG2y6+KlXR4hd1YoWDhxRAQEBAWeTV8N1VDabpaOjg2XLlk11ilsMftYhs3uQzN6h2e/niIIAFdqw8A3Gl4vW1lY+/elPT+uAF/DqptjjPnBCBbym8HyfrOdMfZcLIKyb52/Z2msFbf4LSqXAced3FkmhEdLLwR3H8VPkHRdNTBd1okYNm6tuJW61YqDwvByesQrM9YAGSLT00+ip+8EbL6zkDsLwN6Hm81Bkxlau2O5eJ40/3YB0lXULDqgF0MpDKF/hux7C1OY55hUU6eKawvco1vEyH47j0XlKyaUQAmXakJ0Ev7CPcMRi44Wt7N27l3QqRdgITRehrDAIieM47Nu3j7Vr1xKPx6fyBk4l73h4ngIUUgqsRWYAub5Hb3qCnx3cwejI+LRlaSdHT2KMx60QN7VtpsKoJr/rRImoM5JBKwuR2TVA9uAI+Apf+eRzKXJenlTvGNp2g1WXLifefBX3dP1uViFKk8aSlx8qpSBXRBneqevlsujSZm3FTWwf+D7Z45+lWRBIVpe/lYhRXfhbM6CiHi56M2LjNTDWj/IchBWBeDVYdmHMIvA9h8zwwRkCFEJix1qYfKRzWici38miSWOGA88dTJHvGMNeWzmjhDIgICAgIGApkbZB6IIarOXlZA8O4/QlC13wjEJmlN1WiYwYxUctBAScRwRHbcBrAsf3SDk59oz1sWe8n0kni0BQaUfZVNFAa6yCiG4hAzHqvEQI0HVJ3pk/7LggRJVhqxhhS6IJk8rQKixZSkPsIqrttVhSx822k564n1TiCVAF8UK327BKrsOIXoZrb8Ee+xo4x7qAuP2QfhZi1xVVlmcU2XVs+vjFH3u+65M9PDqjBG/atutjWKtKEWFFfqKHdH8v0rYwS+rQ7BhSs6ZfUAtZEHEWgxUpyiW2EJ6vSKZnCRSXEuwopCcBaGmtJpGYoLw8TktTLYYucVKTjA0OkEgkEKaN1DQsq9Bpr7e3l2g0imlOL6XK5lwmU3kOHhkjkcoDinDIYGVTnLKSELY1n1h3gqFskp907CA5T8lcIpfhx/uf5z1rLyE2UoLTkwApMOuipLf3kWs/0XVOINClQc4rHJte1mHg9weouWoV19Zu5v7e52ZsvzZcvbiw8SIoCICL764pDBMhJFGjhi01H+Dg2AMMZw6gmC6eRY1aWkuvpjq0dkYZsbBCYIUgVnbG4pryHHLjM7uJmtFq/KSPMzg5fbzvoXwPoc18PbOHR7GWlyFCgQgVEBAQEHB2kVYhzzO8pR7l+giOtfHR5TnPgAoIWEpOS4Ravnw5X/3qV3n7298+6/J///d/5/bbb+fw4eJzJAICzhZ5z6VjcoRfdu0udO86iVRylCPJUarsKH/QspGqUHTJL+QCzhwpBTUVEbr7JxceKyQIk2U1lZSHY2yLfAqBQBMWmsqST/yaZOJZ8DMIYaGOiVBu9iBu9iD6xK8I1/0p2bJPYY/8T/COlU+lfg+Ry0CLz7t/U2q0RMsZyCw81+M0RcvQTuO4U45XEDPmwFpdjrkiRKpnJ7lDvQXHkibQSm0yQ/vRQ2WEa9ZgxGqQ2jGBxgohWjegZus6NweiYRXoZ88KLoRAWWFQPnEL1q6pR3k50qMjeJk+QBExbCrWr8UTFumcQygUwvd9fN9H13U8z0MpVdiWUiTTeZ55sZ/+4elOn5HxLN19k5SV2Fy2qY54zJrTQQWQcfM8MXCYlJufNbvqZNJOjsf7DnHDipXQk8BsiOEn89MEqOPPN6ybpJ3MiS5zvmLkmQ7Wv20Dv9N3k3KzJ42XbK5cQUhb+rwi0bAS9eIjBTtiMZg2lNcBBVE4ZtayofI/kPeS9Kd2kfMnkehUhldRYtZjiAhykaLtYvFySZQ7s8uQZleQOzQ+6zrKdxCazqnisDeWxU87yND5WfoQEBAQEPDqQxoavAJFp1NzmQICjnNaIlRnZyfJZHLO5clkkiNHFs6BCAg42/hKcTQ1zs+O7Jo3KHoom+QnnTu4ZflWyhcRdhtwbrBMnZXNZUWJUAC6JmhtjGMZJlBwcnhelpSTYVK7kExsDYbUiZkWpJ/FTTyEmyuILm7uEOm+vyXS8AWc2I0Y498vbDTfPW9Y93FMTWdTRSPPDXfhF3nhvrWymdBpijh+fvY5mS2lmMstxvc9gn9ySdWxrvQIcDNjJI48TbRxC1a8CakZCCGhbjkqXDIjh2lWhES0bUGcRp7VqUgpsC2dbG5mOaOQknh1JVdcWEV+ZB8jXbvxPQchBfLYrUHPd4nWbSKfSNLR0cHERKG0TwhBVVUVTU1NxONxXE/w++d7GEtkZ+znOGOJLI8+283rL2mmrGTumvaM63AoUciwEppEaALlzf2+t48MkG9cjR63MZvj5A7PHrivC4mtW2TcHNIQlLRWYVXYmL7Pf1h+OU8O7qd9ohcfqArVs76s4bS6ES5IuASqW2Ggo6jhonFNQYg6CVOLYGoRVhjX4isPIeQ5FfuVmr08VggdlZ+jdHaez64/TzZdQEBAQEBAQEDA/Jx2Od58JQrPPvss8Xj8dDcdELBkZNw8v+tvL6pT2WguzfPDXVxd14Z5Bt29As4O5aU2TXUxuvsWFqLWrajENk/cMUo6OfaN9bK9/zl6UgOFB5Wi1IyyvnI5m6v/HHvyF2TH/x0oCFFO6mlk9EoM+f/AT3JCvVmYmGFxUWUzzwwtLMavi9dSFYoWtd3ZEPosF/NSYK+Nk+h8fLoABQVjx8lf38oneXQ7ergcGYoXHjNDhS5lj/0YFsi3EpuugWjZvGOKxdAlzXUlHOgcnbHMNjUuvaCSdP9O/Mmj+L4LQhR+iwREqlZgV65l187nSafT6FYMTdOmHFCjo6OkUimqq6upq2/G9RYWFNNZlxcPDHHpxro5c6K6kmMnvl8ECEtHzVZSeAzX9+hMjLCmMoxeFiL1VPes46SQlIYjlK6ux24NM+F20ZPZjkp5aHaEq+vWcE39OvZPjLMmXk/MOEtdMa0w8oIr8Ud6poeEz0a4BLH2MoQ5+1yEEGji3H+3Sm0ugdRDzHVneZ5znFk/c0uAcvLgOYWvGV1fEmE3ICAgICAgIOB8o+izwa997Wt87WtfAwonkp/+9Kf5/Oc/P2PcxMQE4+PjvPe97126WQYEnCajuTQ9qfGix+8Z6+ey6mWBCHUeYls6F62vRSI40je7Q0cKWL+ykraWMsxjF5eJfJZfdr3I4bF2HHd42viJfJInenexd6STd654M1HlkZ24HwAn8RBm5DKwN0H6cdDKisqDAgjpJq+rWY6vFM8Nd805bl28lmsb1xDWT6+MSuoSszZKZmx64LJZH8PzkjiJ4RnrzHrRrTyyI4fR6i4ouKF0A1XTgrzyP+C/8CDMsh1CUcT6KxCtF8wpOiwWQ9dY2RTnUNcYnj9d8Gupj6FSvaSGjxC2C59PIY4JG2aISN0GXty1k1SyIFJ6ThpDD+F50wXogYFBcnnFxlW1PL69b8E59Q4myeW9OUWonH+S4CQE0tJRjoeaJ78s6zlosShCl3O6poQhib6umhHrMLv7fs1kbgilVMGSHzUYG32Y+sgKtlbeRNyKnh0XFMdKIcvrkVe8C//Jn0FujtyraBny8ndASXHh/ecSaYbR7BK87PTvDTc3jtnYSmbvzM6Ss3XHA5AxExle2rJHlU1BagLVvgM1OQIoRCQObVsKHQHt0xepAwICAgICAgLON4q+0q6urmb9+vVAoRyvoaGBhoaGaWOEEEQiEbZu3crHP/7xpZ1pQMAi8ZVi//jAotZJujmGc0liS3RR/UpEuU4hO0hIhLH0GTNnQtg2uOiCWtpay2g/MsbQWAbX8zENjbqqKCub40RCxpQAlXbz/LZ3P4cTgyh1amcsMVVyM5ZL8NPDT/H+Ve9Epp7HdwdxMvsRKJReU7gUDV8EovjjImJYXFW3kvXldWwf7qZjcoSc52JKnaZoGVsqm6i2Y4TP4DUWhoa1spzM/uGpznEARmOY7Mj+WdeRtj6rkzU/fpRwzVo41nlMGBaqdjny2j+EkT7Ukd2ofBY0A1G3AtGwEgx7yY+RaMTg4gtqeebFfvxjz0kKaK0Lk+zcjucXcp2kJhHH3r9wRSujIyOkkidEBt91MIwwUsqpXCghBI7rceRoD9sa6onHLMYnZ2YFnYznK7oHJlkfnd2VMiOHSQq0qIWfyuPnZ3dgRiwLq7a8oHFIMe29O451SRWD5n729PwEhY8uJEoohJRIqVFlR/H8QXYN/TObqt9PmbUMTZ4d8VwYJqqmFXnDh1Bde1GduyE1Xgijj5Ujll9YOB7s6HnZNU5qFnZZK6m+XdMez0/2EWpcjVYWxhs7Ia6J42Wps2AtK0OYS5fLoSbH8J9/AHrbp5UAKkAd3gG1y5AXv7nwOgd5hQEBAQEBAQGvAoo+Y33Pe97De97zHgCuueYa/uqv/oo3vvGNZ21iAQFniq/8osrwTiXvvfbyPpTvFxwOiRHUkd2Qz4KmQ8MqqGoEM3QspPflxzZ17AqdeMyeEikAdF1g6NMvDiedLHvH+zl2STfvdkezE+ybGGBtyVVkR38MKBRu4UJbGBC9BuTixMmQbtKgGdQ2luArH/+kEjBd09D1M39NZdggtLqSzN6hqceEJfEnZzpWhKWDNnuZke9mZ2ReCU2DUAwaY1DdjPD9gnhnWmftgtjQNZprSzB1jZcOjTAynqGsNISmsmSTIwgKwpBlmuTzeUBgl7XSse9U0U3he3k0rXBMHA8XVwp832dgYIDmuviCIhRANutOhZqfSnO0DFNq5E/+rpECGTGRYYWfdY+5nQoCkhUyaa2qQVoGKutiVEdw+qdnLOoVYdyyPHs77z0RTE6ha540NKSUUx4dV2XZM/ITLqn9YzRZuuBzOV2EbhTKLldfili2cfpCK3xeik/HEVJilbeQn+zHSQ6eWOB75NNHiWxuIvHIgYIYKCTSCM1ajqeVWtgry5FLVI6nUhOFktfReRx5/R34j96DfP1/hFj5kuw3ICAgICAgIODl5LSugB5++OGlnkdAwJIjhcQ6DeHEPk/ElnOFch0Y7sHf8RsYmV6Wog7vLNyB33AlNK5CnEa79gX373ngZAsakRQFwWuBLmMA1gJuhLznsmPk6LFwcAHMMv4kNxTAi8MdrFt+FYz+BCFtNGkivDEo+0PQq4p+Tp7nk3c8hsYyDI2m8ZUiYmvUVobJpCcZHRkmFApRW1uLZVkYxul32pKWTuiCapSvyO4/Vjan4NRSImHpyLBR1Gs7G0tVclcMhqHRUBOjsizMZCrPZDqPphKEbR3T0JACFBLXdUGaSN1kMjE+c0O+j5AapmlOPW8hwLYtfN+jusymrMRmfDI7b/M3Q5dzvm62ZtBWWs1LY6cICbIQviXDxgn9U0BbWS0h/dh8bB17ZflMEWpZhCPJJ/BPCdQWx8r9Tp1Jxh1lLHuY2siFp/3+FktBmHzllYdpRohY8yUke3aQn+jh+JuSGTlItC5O7IqVpJ7qRMgQQmqc+vnRykLErmhGRpbG+aecPGrvU/MLUMdJDKN2/x62Xn9OP4cBAQEBAecHrp/DUydyGTVhossgNzDglctpXW3v2LGDvXv3TjmjAH71q1/x3//7fyeXy/He976XT33qU0s2yYCA00EKwZp4LU8NdhQZJw2lZug11R1PeS4MdeP//kfgzOEImRxFPfVzuOjN0HoBwlyaHz2Vz0I+gzqyFzXYCa4Dpo1o2QDVzWCdmfsq73sMpI+FmAsNIaMIL4k69Wg4SYgaSI+gZBShRbEjWxFoYK8H+wKQxQlw2ZxLR88EB4+MMTGZI5fP4ToFMcG2dFY0l7N2eQu9RzvZsWMHjY2NNDQ0nJkQZRuEL6zFWl5G9sAwKqfQo3HyiQGEoSHtggNqPoFCs2IF19dSoHzwJ8EdhPyRwt9GDRjNIKMgF36uUgpCtk7I1qmuCJNLZAlZJ44HAYRsG0dJlAI1m4okQNP0gnNICEpLSymtqMCMhJhwsiS0DGvWl6L75fT1penumyQ3S+ez+urYnPO0dYPLa1bQnRwj4czSbe9YcDpAzLC5vHbFVCdEIQRGXQyjJoozkJyas6y36Ot6ceamQvqcgdm9qe2Uh9qwtNMXiPy8N1UaKAyJ0M5fd9NcZNw8Gdehc3KErOcQ0k1aYuWENJOQGSbWtBWvdh3ZkUN4mQmUUuTTfURa12M1XETu0Bi5IxOorANSoMdDWG3lGLUxZGj2UtbTwsmiul4qerg6uh9xwdUzOg8GBAQEBLx6cbw0GW+co5NPM5Jpx1M5NGFREVpJY+xSQlocQwu/3NM8q9xxxx3ce++97Nix4+WeSsASclpXeH/2Z39GOByeEqE6Ojp4xzveQUVFBfX19XzmM58hFArx0Y9+dEknGxCwWEpNm6ZoOV3Jmd22ZmN9WS22dvpiwCuOXBr/mX+fW4A6jlKo53+FqF2OEkA+B5OjhU5OVggi8WMle8VlpahsCnXgOdS+p2bsWx3dj4rGEVuuh9rWM+oQ5Z8sTBxzNrn+LM/12IWlUj4KEMLGir8FZAxCW4sSTQCyeZfd7cPs7xhFKUUulyu4dY4vz7m8dHCQsYkMl29uxek4SHd3N0IIGhoazqg8T1o6skpHK7VBKXTXJJfuAmYvIzsVq6z5WBjzGeKlILsTJn8FuXamlUHq9RC9EqJXgxZf1GZ1K4aQBuqkIHApJZbQkFJgGCaOc+IuYSE3yjyWoSRpaG5CREM8O3SE3R095PHRDZN02qGlpJwt1U1cWl/LgfZxHNdHUHg/Q7ZBNDz/+19uhXn38s384siLDGWTs46ptCO8rXkjFdZ0kVuGDKKXN5F8ohunP4kwNJRQ5NyTQrRFQWgs5HnNPoecNwkofN8l76dJOUNkvXGk0IgatVhaDFObKbArX6FyLt5Elmz7KH620HXQqApP5R9J6/x3h+adPK7nkXUdPKWoMEK8lEnw9NARnB6PlSVVXF67gkorghGy0Oo2onyPwudDIvXC94y20SK0tgqlTuh9Yo4ctTNiuAcysx8rsz/BLKr/MGLllqWdR0BAQEDAeUnOS9Ix8QhdicenlebDJOnJYY5OPkNzyeUsK339Gd2Amo3bbruN73//+3zsYx/j29/+9rRln/jEJ/jWt77Frbfeyl133bWk+w147XBaZ5Y7d+7kT//0T6f+/qd/+ic0TWP79u1UVlZyyy238O1vfzsQoQJedkK6yevr2rjn8AtkvbnbpgNUh2JsrmjCkEsXOns+o5RCDRyB5HhR40XbRZBNovY9iereB9nUiYXx6kJOTOsFiPDcrhEAlcug9jyJ2vvE3IOS46jH/x9c/i6oW17Io1kkUgii0wQsDaFXojn9eGqOwGgzgkQRjb8Jw16BrhfvOlBK0TuYZH9HQfD0PH+aAHUyvYOTvHRohGV1dXR2HOLo0aNUV1cvTUbU8TJFGcaKNxwrPVpgHd3GKmtBnumx76Ug+RsYv4dZM7jcXhj/IeQ7ofzWRQlRQjMwS+vIjZ3SbVB5+Nkxqmrq6O/tPjFeagitIB40NDeRtiX/b/8TZFwHpcCyLBy3IDp2T44RNkwaoxGu2FRGJpnCVz6aGccwzAVLPzUpqQmV8N6VF9GdHGPnaA9juQygiJthNlU00BQtI6KbyFncZlrUInZlC85Qiuyh0YKAJnV85Z8QgRZwskWNWpTyOZJ8jJ7k86ScE9lHAo2K0EpaSq4kbjWhH8s2U56PO5Yh9XQP7sj0DDGnJ0Fm9yB2WwWhDdXI0PkpzjuOQyqVorunh0P9PeTdPEIIykvjLK+tY3PLZn4/dJi94/0cTY3x7mWbqQ2XIDVjKoT/ZIQuEUuU+TQfajEC1HGOOzsDAgICAl7VOF6ajolHOJL4/ZxjFP7U8hWlb1hyR1RTUxN33303//t//29CoUI1QDab5V//9V9pbm5e0n0FvPY4rTOtiYkJKipOtGG+7777uO6666isrATguuuuo729fWlmGBBwBkghqA2X8M5lmygx5hYUGiNx3tm6idKzkHl03pJLozpnlvzMhlh1MaKyHv+Xf4/a/+x0AQpgfBC1/Tf4T9yLSk3Mv7GJofkFqON4Luq5+wsh6adBWDe5oLz+xANCgLCRRi26tBCztF9fU7YcU2Sxy9+BrpcUXCKuX/g3X2gQkM17tHeNAwVBynHmFz0PdY0RjsSwLAvf9xkcHMRbwlB8aVhEGy7EiFTOO07oFrGWy9CMJTj2c3vnFqBOJv00JB4Av/j3VuomoapViFmEA3eim7q6OgopTMeazuk2IIjFYmixMD859AIZt/CeaFKi6zqu52PrBu9ZvYkb6+rw+nfRvfsXJDoeZmjfQyQPPYgzuAMnOYjv5Wfsd9r8hCBq2Kwtq+NtzRv5w7ZL+MO2S3l7ywWsjdcSM+xZBaip9UMGVnOc2LZmtJBFWdUytLiNDJsFYWQeASqsV9JScgV7Ru/lwNj90wQoAIXHcGY/2wfvYiC9G9fPoZTCHcuQ+G3HDAFqaj3XJ7N3iNTzvfjZ+Y/nl4N8Pk93dzc7du3kQM8R8m7hPVJKMTI+xq59e9j90m6urGilraSKSSfHz4+8SMqd/708J5yGsI5+fnUrDQgICAg4O2TccboSjxc1tivxOBlvfMnnsGXLFpqamvjJT34y9dhPfvITmpub2bx589Rjvu9z5513smzZMkKhEJs2beLHP/7x1HLP8/jQhz40tXz16tV87Wtfm7avRx55hEsuuYRIJEI8Hufyyy/nyJEjc87tu9/9LmvXrsW2bdasWcO3vvWtqWX5fJ5PfvKT1NXVYds2LS0t3HnnnUvxkgQsIad1272uro69e/cC0NfXx/PPP88HPvCBqeXJZHKqE1FAwMuNITWaImXcuuoyDieG2T3WS8LJIhFU2lE2VzZSEyo5xTXzGkCp4spBonFE81r8+/4BkqMQr5577EAH6oUH4ZK3IKyZd2RUPoM6+Fzxc0wnUP0dsGzDaXVja4iUUmlHGD4umgkJhBBGPbrKobxJwAcEUkbYWrsJ24qAq+GlsuQ6x/FSeRBgVEYw6mNIU0MYM50xmYzD0GjhYl4B5aU2bc2lVMYtNE3iuB69Qxnaj4wxkcyRy7v0DExSVlZGf38/Y2Nj1NXVTXVzWwo0M0Ks5TKyox3kxo7g5U683wVnUQPhqlVIK3YsjPkM8CZg8kEWFKCOk/odxK5bVMdB3S4h1nwpk13PoE4ShZzkEOHyFbQub6PzcDvSsBFaIYS9rLKC7SPdpI8JDwKBZVlIISiLhnhb01rKc+P0HnoGpXykFFSHYpRGLaSE/EQP+UQfkfqN2GWtyCKEgIhx+mKBtHVMFaGh5CImRroWXgFoLrmco8lnGErvmXecr1z2jNxLWK+kVDSSeq4XlZ3drXcyucNjmPUxzGVlZz34vFhc16W3t5ejPUfJeS7eKZ0djzOWmGD33j1cuX4DvekJRnIpuiZHWVdW97I+F1HRgJIaFNvBVQhETcvZnVRAQEBAwMuO6+foTj59Sgne3Ch8jk4+w6qyNy95WPkHP/hBvve97/G+970PgH/8x3/kAx/4AI888sjUmDvvvJN/+Zd/4dvf/jZtbW387ne/4/3vfz9VVVVcffXV+L5PY2MjP/rRj6ioqOCJJ57gox/9KHV1ddx88824rstNN93ERz7yEf7t3/6NfD7PM888M+dv9A9+8AP+63/9r3zjG99g8+bNbN++nY985CNEIhFuvfVWvv71r/Pzn/+ce+65h+bmZrq7u+nu7p51WwEvH6clQv3BH/wBf/d3f0c2m+Xpp5/Gsize8Y53TC3fuXMny5cvX7JJBgScKbrUKDE1NlY00FZadewyWaEJSei1fHe5CLFYNK1Fdb5UyIASx30mc6O69yE2XAGziFC4Lqp3cS5JdeQlRP1KsBdvMw5pJm9p2sC9nTupj5RSYthoQpL1XDonRxjLFQQQAVzbuI4KK4ZK+6S2HyXfPQHeCUEld3AUGdKx2yqwV1fOKE9KZgpOkWjYYOvaCiKGQ2akg3TXAMp30XSTprJG2i5vpm8kx5M7+5hI5olWFL6Gl9IFdTKaGSZUvQa7YjledhLl5UBq6FYpQjeQC+RAKSdfCFEeOHLsGJCIyoaCGGmFTohX3gRk5xdBpuGNQ3YXRK8pehUhdcxYDfGVryczcojc+FGUmwMUmb6d1DZvQ7eiHO3pwXVddF0nVBJj99HtAEipYZlmQegTggvK66lWeQa6n0XKQhdFAeR8h4hunTjSlU+qZyeaEcIsbTz7HeiEpCq0hqhRQ9IZmHesrcWJW00cHH+gqG37yqF78knCkRtxB1MLr3CMbPsoRl0McZ6U5TmOQ29vL0op0u78Lq2xxAQTY2OsLq3hhZFudo720BqrPCOx8IyxI1C3AnoOFDe+ugUipWd3TgEBAQEBLzueyjOaWdy58mi2Hc/PL7kI9f73v5/Pfe5zU66kxx9/nLvvvntKhMrlcvyP//E/+M1vfsO2bdsAWL58OY899hjf+c53uPrqqzEMgy9+8YtT21y2bBlPPvkk99xzDzfffDOJRIKJiQluvPFGVqxYAcDatWvnnNMXvvAFvvzlL/POd75zant79uzhO9/5DrfeeitdXV20tbVxxRVXIISgpSW4gXM+cloi1F//9V8zNDTEP//zPxOPx7nrrruoqakBIJFI8OMf/5hPfOITSzrRgIClQApB5LXmeJoL3UDE61AjvXOPkRJRvxL/N/9S+LuYbnXKR7VvhwvfiDj1Ik/5iy+vy6UL650GmpTU2DHe33YJhxJDdCVH8ZSixLR5S/N6RrMpDk+OsLK0irWltWgZj8QjnXhjmVm352dc0rsG8DMO4c31ha5zxxBCEIuYXL6xkvzIPvp694M/fd6ZxDDy6EtUtG7mjZc20zucgWP5VEvpgDoVKTWQoUWX3Kl0ArXv6ULZ5kmuOQVQVoNYdTE0rSm43txBYJFCWr6r8PxF8c9dSA09FCdSt5Fw9VqUly84mDQToRnUh+NU19QwOjpKJpMh67vklE/IDiE1rSAsiYLYtClexWT3c6hTwtsd3ys8Nk1wVaSHDmBEqhDzlPYuFZYW44Kq97Br6AeknKE5x7WWXMVI9jDebIH7czCQ3sOK8BuREQM/VVyZnTOQROU9mEWE8n2F43qgQEiBOYtTcCnxfZ+hoSE8z0PBnC6ok+np72Pd6lVsHznKWC49s0vmOUbYYeTabfgDnbBQeaCmI9dum13YDwgICAh41eGp4n/ToeCeWuAe8WlRVVXFW9/6Vu666y6UUrz1rW+dit8BaG9vJ51Oc911101bL5/PTyvZ++Y3v8k//uM/0tXVRSaTIZ/Pc+GFFwJQXl7ObbfdxvXXX891113Htddey80330xdXd2M+aRSKQ4dOsSHPvQhPvKRj0w97roupaWFGzW33XYb1113HatXr+aGG27gxhtv5E1vetNSviwBS8BpiVDRaJQf/OAHcy47evQo4XBwshQQcD4jDAvaNqMOv1AozZsNM1QQnkb7Cn9b4WMlbfOjxgcRrgOnilBCFNxX/iJEJU3ndH9Z026ePWN9PDt0hOFsEk/5ZFwHXyke6z/EhRWNvKF+FTHDRnMVqR19cwpQJ5M9OIpeHcFaXj4lXsQiJpeuryA/vIeJ/oMINftlru85DB96hsrll7C6tYmhwcJrW15eviTB5EuFSifwn/w59B+efcDYAOrpf4d0AlZfijitiMHTFwJOBEvP/K3RNI3a2lo8z2Mgl8SyLE5tK9cQiWP7HmOT/UXv002N4OVTyHMgQgkhiRk1bKn+ID2p5+hLbifjnujyWWI20hDdSk34Ag6M3beobXt+jmx+Ai1UvAiFAj/vcbK85LgeecenZ2CSgZEUnqcwDY3WhlLKSmwsUy5Ymq88B9xCRz50o6iyUNd1mZhYIHvuFEbGx9iomYR1Y9Y8uJeF8jrE625CPfXzucV53URc8laobj5vSiEDAgICAs4umrCA4ptR6NI6k1OqefngBz/IJz/5SaAgJp1MMlm4QfnLX/6ShoaGacssq3DT/+677+azn/0sX/7yl9m2bRuxWIy//du/5emnn54a+73vfY/bb7+dBx54gB/+8If81V/9FQ8++CCXXXbZrPv7h3/4By699NJpy47fzN2yZQsdHR3cf//9/OY3v+Hmm2/m2muvnZZTFfDysyRXPJlM4aItFAohpZxSIgMCAs5zIqXQuAa6986+XIhjApUqiEGmVZwepHxm/TWUEioaYKj42mxR1QTm4stmMm6eZwY7eXygIKJIIZFCYhja1Mz2jQ8wnsvwzmUXUuLq5LoTRW8/e3AUs75kqjwpbOvIfIbe/nZAHHvp5j4jGD+6k2U1zXSmUsRiMWpqavF8Cl3Z5Pyd0M42Kp9F7X6sIECV1eA3rMENxwGBlkui9R2AwUJekXrxdxCvQdQ3U+h1sQiB0WhalAtqMQgh0HWdsGeiSYl3yntRaoZw06OzrqsJOadQ4aRHMCIVsy5baoSQhI1ylpdcQ1P0MnJeAk85GNLG1KIYMoKvTidkWxScQIs8xIQ8sUIu73Koe4K9h4bJ5qc74Dp6JojHLLaur6UyHkI/pducUqrgcExNoA7vRGUmC+JTZUPh+8i0Eeb8Qp9/TMgWgC4k+SLcUL7vowlJ3AqdFzKUMEyoW4F40wdQh3agjrxUEHUBQlFE0zrEys0QK0O8lsvGAwICAl5DaMKkIrSS9ORw0euU2yvR5Nn5nbjhhhvI5wudZ6+//vppy9atW4dlWXR1dXH11VfPuv7jjz/O6173Oj7+8Y9PPXbo0KEZ4zZv3szmzZv53Oc+x7Zt2/jXf/3XGSJUTU0N9fX1HD58eCqnajZKSkq45ZZbuOWWW3j3u9/NDTfcwOjoKOXl5Yt56gFnkdMWobq6uvjCF77Afffdx/Bw4UNSWVnJW9/6Vr7whS8E9ZcBAa8AhB1Bbn0TvpOb3fGSzxaEqGhZQYQqUjAQoRjM5miwwojlF6KKFaE0HbF806wd0RaiOzk+JUBNn9x0eaE/k+Dh3gO8qXQFuMULKO5gCj/jTGVD6cLDHe9EcEx+EwUhZC4hytR88qkhli1fiUJjb8c4mayDEILKshD1VVEMQ8M4B+3iZ5DPoiaGcC6/mZxdxuGjE4x3pVFKEY2UsXzt9UTWZjEPPAF9h1AHn0dVvQ1hryk+F0qWQOjCwn/7WVBZUC6FF04DEQF55vlDlqazPFbJwcQQAkFztIwVsQrq7VIiwkfVb2JytJNc9oSzJqQZc4sUp1kaeiZo0kCTBrZeMstSg5CxOFFMCA3bKiWfnV2Emw0ZMRChwilDLu+xv2OUFw/OfYI8Ppnj0ee6uWprI9UVYbRjjijlezAxjP/Cr2Ggc8qFqQCOvIR68feItq2w5lKEHZm2TeXkwHXQlc/yhlr6w2GGR4YJeS75/PwB65qmIaQk73tsqmgkfJ6IOkI3oLQKNr4esfYy8NzCi6HroFszS5oDAgICAl7V6NKiMXopRyefKSqcXCBpjF2y5HlQx9E0baoh2anREbFYjM9+9rP8yZ/8Cb7vc8UVVzAxMcHjjz9OSUkJt956K21tbfzTP/0Tv/rVr1i2bBn//M//zLPPPsuyZcsA6Ojo4O///u95+9vfTn19Pfv37+fgwYP80R/90azz+eIXv8jtt99OaWkpN9xwA7lcjueee46xsTE+85nP8JWvfIW6ujo2b96MlJIf/ehH1NbWEo/Hz8rrE3B6nJYItW/fPq644grGx8e57rrrpsLD9u3bxz/90z/xi1/8gscee4zVq1cv6WQDAgKWHhEpRb7uD1Bd+1CHd8LoSRlRoRjK8xDrthVynoq0D4gVFyKsmflDQkioX4mqqIf5sqiOj1+59bRyUNJunheK7CwGcHB8gCvLl6HHbbzx4jOr/LQDx26qKOXhpQYJhwzSGaeQKHTMGKRQ04xhtqVTUt1KXitn14ExeodS+CctP9Q9TsjSaWsto625DNs6t2V6aqSX7Kbr2b5vmK4je6ZcJ8c5eLCX2rpyLrrgWqJmCLr2QC4HJW+H7F6K8oRHrwZhF3Khkg9D+lnwxgrLjHqIXA6R14EsB3n6zz+sm2ypbEIAF1c0I12fwYEB+p0JJqQkZIepXXY1Tm6Ckd4dkE+hzVNyKo3InMteDqTQqItsonPiETxVXGldVWgVhh4m786dNXUqVmscaRbeh0Qyx+55BKjjuK7Ps7v7uW5bCyFbFgTZxAj+o3dDao5yunwG9dJjkE3BhW9A2BFULg3JcVT7dtRoL3gelmHT2LCKxlUr6R9PsP3QQdx5Os3VVlYxnEsSNUyao0vf5U8phe/mUG4W3ymI95oZQWhmUR0VhW6Afn6EvgcEBAQEvLyE9DjNJZdzJPH7Bcc2l1xOSIuf1fmUlMx2E6zAf/tv/42qqiruvPNODh8+TDweZ8uWLfzlX/4lAB/72MfYvn07t9xyC0II3vOe9/Dxj3+c+++/H4BwOMy+ffv4/ve/z8jICHV1dXziE5/gYx/72Kz7+/CHP0w4HOZv//Zv+dM//VMikQgXXHABn/70p4GCMPalL32JgwcPomkaF198Mffdd9+C8QAB5xah5qsXmYObbrqJJ554goceeogLLrhg2rLdu3fzxje+kde97nX89Kc/XbKJvtJIJBKUlpYyMTEx7wc3IOB8Qfke5DKFi798tnBBFIoVcqESQ/i/+sfi2omX1SKveS8iFJ17X4kR/Md/Ol3wOgWxYjNi0zXzbmcuRrJJ/n7f4/jFfr0pxeXlrWwZKSH/UvEX5iXXLsesL3y+vXya0b33oXwfxwdpV2KEK5DSQPke2fQo6fEeLF0Ridcgq7bwu2e7mMzrBXFuDtpayti4quqcCVHKc8kkJnn8mQ4G+sfmHVtSEub1r1tBZOd9yPWXI2obYfLfYeJe5hWiQhdB+YcguwNG74K5Aji1Mqj8BJhtZ+SKyrkOyXSKXfv2MjQ2AhSaFFSYYdxcAikEtfWNNDU2kuvfDtnZBRJphIi3vRHNPL8yD/Nemn2jP6MvtaOI0YIt1bdRabaR2T9M+vm+WUfpFWH02gjCEAhNYi8rR4ZN8o7Hc7v76egpPpPpyq2NNNeVoLKpwud+rpyxU2d6zfsQ8SrUC79Bdb00LbtO+Yp0Jg2hGMa2tzFqlvLU/r14c3xHXXzhZl7KjrKlqpnaUAxZRLZdsfhujnyin+zIIZzUCMePfSF1zJJ6QlUr0e04opjGDgEBAQEBr4rrqGw2S0dHB8uWLcO2F58lmfOSdEw8Qlfi8VkdUQJJc8nlLCt9PZa2+HPlgICzQbHH/WmdET366KP85//8n2cIUAAbNmzgk5/8JF/5yldOZ9MBAQEvE0JqEIoW/p2CipYjtl6Peu6B+cuR7Cjykrcu6F4SJRXIq29B9RxAHdoBIz2FBZoOdSuQbVuhvB5hn97FftLJFy9AAQjBhJtFWfHiV9ElWuwk67MQCKlhxVuIx1rxUz65jjH8nIfUdcoaV1C1bgO5VC/KLuP5vYOMT2bRrPlPHA4eGaO6PExLfckZuzd838d1XRKJBKlUCijcgSopKUHXdTRNw1Nw6OjkggIUQCKRZtf+QS5avhULAVoIYm8GrRKSD0K+c/oKWiVEr4DYWyC3F0b+LzBPGZU3BkNfh5rPgXn6Jd5uLk/7vgPkkgWXk6d8fKXI+i7xknJ0CZl0ir6+fprqN5PufgrlznTEWWXNSO38K48ytTBtZTeQdkaYyM9X6ipYGb+OuNWM0DTsFRWonEdm9+DUCKOhBGtVCcL2yY134Xs5tJCFk3fRjQpQOgMjqUXNr6NngtrKMEZ6EgY6ilvJCiEME/+pX0DfzOwIIQSWZZFNJ8g/cg/l1/xHNrauYO+RDnKeO6373fLGZkLhCJeWlFBuRZZWgHKypPp3kx2ZKawp3yU33kU+0Uu06SKskvpAiAoICAgIKApLi7Ki9A3UR7dwdPIZRrPtuH4OXVqU2ytpjF1CSItjaOfXjbGAgGI4rbMhx3EIheZu9R0Oh3GcIjvuBAQEnPcI04LWDWCYqJceh4lT3EJCQk0r8sI3QLwaUYTlVYRjsGIzonF1wWHluQX3laYjzrAVuTwNrUZoGmIR+UtGYwnCPFEbL4QkWn8xpAwmH+nEGZze1SS7vw+tNERkSzNavJyB4d5jWVcLT7a9a4zaysgZuaHy+TwDAwMMDAxMNZOAQkOJkpISysrKiMfjeD4cXoTL5Wj3MBvXrMM6lheEFoXoVRDaDE4P5DsAF/Q6sNpARkGlYeLnzCtAHcdPQOI+KLsVTuNEy3EcOjs7yedyhHUTWzdwfJ/yinIqq6vRLZPxXAqUImKFyEqTSO0FJHteAHXCVWNEqwhVtp23IkJIL2NT9fs4PPEwA6kXcfz0tOVRo5aWksupCW+YOmGVtk5ofTVGXYzs/mFERMdstUj1bCc3MYA0BcLSEVlBduwwmhXFrlrNJesreXLXEDmnCGckkMu5CN9HHd41dyfOUxCNa1B9h+Do/mMdMk8dUMimsG2bXC6H+9yvqL/2D+kfiOB6HnnfRZOSVSvbqK2uQUiBscTvnfJcMiOHZxWgpo3zXZLdz6GtuPqchdoHBAQEBLzyMbQwhhZmVdmb8fw8x4NHNWmetQyogIBzwWmdkW3evJnvfve7fPjDH57RCS+RSPB//+//ZcuWLUsywYCAgPMDYdrQvB5RuwxG+1E9BwvCkRVGtG6AcKzw34tw6wgpZ3VenSkxw8aUGvliygePURspwTRtiuo1pktCayqRJ4lCQhiITITx3+xC5WffrzeRIfl4F/YlGheta+KpvcNFvV6DI2myOfe0Rah8Pk9nZycDAwNTj5WXl1NWXoVu2oyOpxkYc0nlJqksj9LWVkt7LkVifGHHi+t69AxnWdNWc+JBoYEeL/wLrZ+5UvYQ5Ge6W+Yk8wLE3w0sXoTK5/OMjRVcXUIILN2gbfkyJoTLo4OHODg+gOf7mLKQWbS8rIZtDSupaboYp3c7+B5mvIlI7frzqgzPdd2prC5N09A0jZBexqqyt7C89BqGM/tJuyNIdMrsZcTMOgwZRp7SXEBaOmZdDK0ihO8kmDj0GL6fQYsZIKeH+Hu5JJPdz2GWreOSDfU8tmOgKE1JSoHwPcgli3tyQiAaV+E/9e/g+zBHPwQhBLqmo4U0vEwCEsM0NTaSTCapq6ulNBrGd1K4Y4cBhWdGMCKVSM1AnEHO2HF8L092uL2oscp3yQwfRLNiRWVEBQQEBAQEHEeXViA6BbyqOK2zsC9+8YvccMMNrFmzhg984AOsWrUKgP3790+Fin3zm99c0okGBAS8/AhNK+RENcSgdnmhNE9qRTmfziW2ZtBWWs1LY7Pn3ZxKSDNYHa/B9A3sNZVk980TuqxLYtua0Mumu0FVziX1dA94GjCP+KVg7IkjVL51DeXxMGOJOfKQpq9CJu8SL+rZTMf3fYaHh6cEKCEETc3NaEaM3YeG6ertwvVOlFiWxaMsayzjkm3reWlnO329C3RQE5ByJRR7Ya0UZHYUQsntDXA8TNNPQGZ3wSU140mkIN8NelVx+5jalWJoaGiqQ6GUkuYVyziUG+fXR3ZTF4lzXfMGlpfUII/JLZP5DPvHBhi1Q2xYfhW2ZiCLDJc+U46XSyqlUEohpURKia7rU8/HcRzS6TT9/f3k8wXJNBwOU1tbi2VZGIaNIW2aYpfNt6uZCJdk73aUn0UsYCWc6NlJxaoKaioi9A8vLFRWxENITRYck8UQiRfcT72HoHQB59CxLpS60KH3AE1br0fJWtzkAJNHduCmpx+/0ghjlbcQqlyJZszt6F4IpRT5yQH8Wco25yI/0Yuq3VD8ZyUgICAgICAg4FXIaV05vuENb+C+++6jtraW//k//ycf/OAH+eAHP8jf/M3fUFtby3333cc111yz6O3eeeedXHzxxcRiMaqrq7npppvYv3//tDGvf/3rEUJM+/fHf/zH08Z0dXXx1re+lXA4THV1NX/6p3+K604v+3jkkUfYsmULlmWxcuVK7rrrrhnz+eY3v0lrayu2/f+z999xktz1nT/+/Hwqdp7pyXlmc9QqS4sCCgiBARsZc8acD7CN+ZFsYxvbZ742xwE62xhjcCAcPhNsfLaPZJBMUEASSkja1WqlTdo4Ozn3TOeu8Pn90bOzMzupZ3ZWq1DPx2Ol3a5PdX2qu7q76lWv9+ttc8011/DEE0+seJ9eTBQ9h4xTYLKUZ6qUJ+MU8fwXvt14wMuDcvma8aIToABs3eDKunYMuYiF4hx21bSUxQZbJ3xJI7EbOjAao3Mq5YQhsbqqSNy2HrM1jjDOPrdSitJgBj/roplhxHIXmT4Uj43T1VR52KZcZR6U67oMDg7O/Lu1tQ2XMD9+5AQneibmCFAAqcksh46P8tOn+9m+az21dYlzn/IsAgjF0Q1jBQ44H2Vswav6H5SybyJ36ipyp66iOPlzeImPomL/BbQFhIfFwsuX2pLvzwg1AHV1dYz4RR7sPcKb113Jz7VeRnFE5/sPHeP//vgg/3bvIfY+O0qrqqc10sCo6yHN8AUXoHzfp1Ao0N/fz3PPPccTTzzBk08+yd69ezlx4gTpdBrHcchmsxw8eJBnn32WkZERJicnmZycZGBggKeffpqjR49SKFQuiszGK6Zxs2PLjhNCYBka+dHjrGte3hmmScG6tiqEYUBde2WT0U0oFct1tZUKVwLwXIQUlCZOkT79xDwBCsB3cuSHDpE+/QSes4DgWSHK9yp6veau4+KVVr/NgICAgICAgICXA6v2o7/mNa/h6aefZnBwkO7ubgA6OjpobGxc9WQefPBBPvCBD3DVVVfhui4f+chHeO1rX8vBgweJRM62xf7N3/xNPv7xj8/8Oxw+eyLseR5veMMbaGxs5NFHH2VgYIB3vOMdGIbB//pf/wuAkydP8oY3vIH3vve9fOMb3+C+++7j3e9+N01NTdx+++0A/Nu//Ru/93u/xxe/+EWuueYaPvvZz3L77bdz5MgR6uvrV72PF4OC6zBezPL0aA/PTw2Tcx0E0BCKszPZzJaqBqKGtaZhrQEBF5t6O8bPtW3nP3sO4CxRlretqpFr6ruwpvNipK1jdlZhNEbxCy5+3gEp0CImwtTmlOCdQRVdiiemg7yFRDPCKN3Cd4swHZIsEAjNQOomulJkT07QvL2ep1myjxwAhi6JhFbXHS6Xy82EkEciEcLRKv7zweOUFsnzUcrH833GUnn2HBphxyXr+ekD+8ull2cQlIUCOwKGSWNd5SWVftGncLKawqEj+FNzy7NkLIy9cQP2+h3I7JfBmRWyrcUq3sbMNIWY05I3Vpvk4b6DvHndFWQnFN965gieP+vV9+D08CS9o2kakxFuuaKTousSMi6cCOX7PtlslsOHD88TkBzHYWhoiOHhYTo6OgiFQuRyi4sYY2NjOI7Dli1bsKzKbfu+51AYrywwXACmIclM9FHXfAmWoS2ZDdXVWoVtTneAbN6ACkUhv0xZnueUjy8zBCsQuUV9G05+guzAsyz3qXLSQ+SGDhFpugSprfyzVdZcV9xcGBbocBQQEBAQEBAQ8ErivEMRGhsbz0t4ms0Pf/jDOf/+6le/Sn19PXv27OHGG2+cefxM6cFC/PjHP+bgwYPce++9NDQ0cOmll/KJT3yCP/qjP+JjH/sYpmnyxS9+ka6uLv7qr/4KgK1bt/Lwww/z13/91zMi1Gc+8xl+8zd/k1/7tV8D4Itf/CJ33303//iP/8h//+//fU3294Ug75bYN9bLA/1H8WedMCtgMD/FYN8Ue0ZPc0fnLurXuG11QMDFxNR0NiXqiRk2T450c3xqBHdWZ7/GUJxdNS1srWokYsy9YBdCIEIGMmRA9fIlO0pRFqtmnkAihEQzNJh9fSsEIDB0RSFfQgrQdYnjLn1h2t4YwzQqc3Wdy+wQ8mRNLcd6UhRKSweCK99HSsnJ3kku2VxHbUcLo6Np8KbFBt0AqYGU1CRsEtHKBA+/4JB7eoDC88PgzC/j8tM5cnufx021EL3iN5Hpz4I3DnoD6C0V7/MZpJQkEgkGBgaIx+PklUtnrJbilOChfd1L5hkNTWS598mTvPn6zaxS/6uIYrG4oAA1G9/3OXToEJs2baK5uZmensU74E1NTTE4OEhrayuaVuEx43v4Tn75cdNIIQjbIJSHaS4uQnU0x7lkUx3WmQB/00Zsuhr1zP1LbyA7CZoGjV2QrtxtpFo2UBg5RKXiUHGih3D9FliFCIWQSHOl5XwCqa+8TXdAQEBAQEBAwMuJihWHo0ePYts2f/iHf7jkuD/4gz8gFApx8mSFbZiXYHKy3KEpmUzOefwb3/gGtbW17Nixgz/+4z+ec2f4scceY+fOnTQ0nA3Jvf3225mamuLAgQMzY17zmtfMec7bb7+dxx57DCgH2e7Zs2fOGCklr3nNa2bGvBRwfI9DqUHu739+jgB1LuPFHN8+9QyTpdWVcQQEvFgxNZ2OWJI3tG/n3Vuu463rLuMXOy/lnZuu4ZfXX8HlNW3zBKjVIGDhHB0h5/6Zru8TAixbRwG+v/Bn09AlnS1xbr26kSu2VqOpIp5TwPfmdx71lyirPVMmJ6UkHq/mxOmJZffmzDq+guM9KVoaEgjDQtjh8p/pMkwpYOu6Gixz+Z8S5fsUT6YoHB0vB5fLxS/gSyf6KBwv4IduLT8QeRXIyKLj521LKVQhi8pnSIYtNq/roqqqitFCho2JJp48OLCoAFUu8y7/fWQyx/He1AUrW/Y8j8HBwQUFqFgsRktbK21dnbR1dtDc0szAwABVVVXLikvDw8N4XuWh/AgQFXRpnI0uBbZtsLmzmnj0rFNMCGisjXDd5S1cub2RkD0rvN8wERsuQ2xZJq/KtFF2FLHhsson1NCJ0nVK6aHlx06jvBLFyd6ZzLCVIITEqmovH8sVYkRrAxEqICAgICAg4BVPxU6ov/mbv6GxsZE777xzyXF33nkn3/zmN/mbv/kb/vqv/3rVE/N9nw996ENcd9117NixY+bxt7/97XR0dNDc3Mz+/fv5oz/6I44cOcK3v/1tAAYHB+cIUMDMv8/koiw2Zmpqinw+z8TEBJ7nLTjm8OHDC863WCxSLJ7NLJmamlrlnq8dBdfhkcGlW0efYaKY45mxXq5vXI9eYY5OQMBLhZBuEtJNauzKhYwVoQn0ZAh3rDI3iRCCSEMMEHPLwaZprI1w+eYq/Pwo/sRRUkMp8H2kbmLGmwjVb8HHoFAsMjY2hud56LpOTU3NdDj12YymM+XKhmHgK8jklu//p2kSqUmKJY+JySKtDfNL4aQUXL61geb66JySt8VQRY/C0TOuFg20JKgSqIVdWYWjfVgbrgD7EERvAbl8SZzyPCjmUEOnUKeehUIWhKQ6XkfV+suoi9TQPe4wlVskX0owL9vqWM8EWztqCNlr7xJ1XZeRkZE5j1VXV5NsrMfRBM+O9zGVzyMRtMSq2NiyGV9AfX09AwOLh+4XCgVyuRymWWEZodTRwtWQHlx+7JlVzAhS09nQHqG9KU7JKZdxGrqGoUssU1swJ0zYEdhxPaJzO346A06pXH43NQSjpxH1nYgNl0OsGjq2o049BxPLz0tsuQbXyZebJawAL58ur7MCMekMUrewEk0UU70Vjbdr1iH0oLtRQEDAxcXzfUolj0LJw/MUhi4xDQ3L1JDLNKYIuEj4BVCzblgJG2RwUyPgpUvFItSPf/xj3va2t2EYS9vWTdPkbW97G9/5znfOS4T6wAc+wHPPPcfDDz885/H3vOc9M3/fuXMnTU1N3HrrrRw/fpz169evenvny5/92Z/xP//n/7xo2z8XpRTdmXGmnMrdTQcmBriirp1YIEIFBFSE4zgzLgpjZx1+yaPUl4ZlyusAQhtrkHGTV13awrGeCUbGciigqS7CFZtiZPt+hiiOo2lyxqPiOwWEGWNycpKe3n6mMrly1s40PT09JBIJOjo6iEajaJqGbdvEYrHpgO7lHR9SSqSmIRDEoyaGIdFmnZQauqS1IcbGjmqqYhZGhWWC7mQBLzX7BMool9m5owuGjvvpLO6YQmv7AOhLhKMDKA/luZBN4z/1QzhHfBejvfhH96J3badt+80018ToH0vPfQ4BUkjO1U2mMiWKjkfIXvuavDM3LwzDoKamhpq6RgzTIOMUmSpkyDgFnh8fpOA6PK26iRgWu1s3cmVTO6lUak6p5bnMDmRfDil17OoO8sPPg1reQSU0k1DNeqRmIqQkpElCFZ4LK89HeQZuPkrxdAm/KBDSxmhqxtx6M5gawiq/1iocR173i/iPfhfG+xeZvIa49NayeFVczuW30M6sfJWZTesWkaaduIU0XmFyybF27QbMWOMKAvwDAgIC1halFLmCy8neFCf7JpnKnP2dqKkKsa4tQVtD7IL83gWsEi8D3ihk7of8AVB5ECEIbS/foNNqQas8l3MteeCBB7j55puZmJigqqqKr371q3zoQx8ilUpdlPkEvLSoWIQ6ffo0mzdvrmjsxo0bZ8LKV8MHP/hB7rrrLh566CFaW1uXHHvNNdcAcOzYMdavX09jY+O8LnZnWpOfyZFqbGyceWz2mHg8TigUQtM0NE1bcMxiWVR//Md/zO/93u/N/Htqaoq2trYK9vbCUPI9TqSXaDO/AKlSnqxTJGYEynpAwFKUSiXy+TwDAwPk83mUUlimRf2GWiJba3CfH6d0IrXo+lqVjdkSQxo6nS1xmuoiFIouxZJHdRTS3Y+hOymENtd9Y9dvJe+HOXRgH57nIo0w6NacC9vJyUkOHjzIli1bSCQSGIZBU1MTx48fR0qBbekUiotnQhmGQSxsEgkZCAF11WEaayO88dXrUagZp8tKM6r8yXOFJgHCBKMBfAf8qbMCiDBAi+OlzcUFKL8EfhaKR1DFw+AWwQsjr7gKldqCOrIfRssOFSEEmgZ+90H8dIbXXfEG/u2xAtmCMy06iTlleGeQQmJqGq67mgDq5fF9n6amZqpr6hkcy/H4s8P0pSbxlE9NPMSWjg5etW0TP+0/zP6RHrJOubNf3nO4el0nJw4/v2jZXcV5UNNI3caqbqe4WEC50DDjjdhVdeh2BKnrCD8FSgcZq6iLnXI9nKEs2af68M45Hkp9WXLPjRLaXoe9vgZp6+XjOlGLvOltqMETqOP7YHwAfA/sCKJlc7lkL5JAmBbSD5fnsQI3lGYnKu/AtwDSjJLouo7swH6KkwPzRDxphLBr1xNKrkMGLqiAgICLyFSmxMN7e0ml59/4GUvlGUvl6RlIc+2u5lU3QwlYQ7xJmPwepH8MzP5tSUF6ANI/gdhrIfHzoC1zs26FnBGYFuOmm27iRz/6EQMDAyQSa7vtgFcGFYtQlmWRySzT0WaabDZbeRnALJRS/NZv/Rbf+c53eOCBB+jq6lp2nX379gHQ1NQEwO7du7nzzjsZHh6e6WJ3zz33EI/H2bZt28yY//zP/5zzPPfccw+7d+8Gym6uK664gvvuu483v/nNQPli4b777uODH/zggvOwLGtF3YguNEop3FXkmKxmnYCXB67n4zj+jLNHSIFpSLQVdKd6uaOUolAocPTo0ZnMujNks1nGxsYIS5ONGzdhmTrFw/OFYC1hEbuhAzF9gidEWRiyLR2lfArjJ/Hz4/MFETOMjDZxZM8TeNOd6ny3gKabnGvncF2Xo0ePsmvXLizLIplMks/nyaSnWNdWzcFjc0vAyvOArtYatnSFSMYUeOMo5RIOSzQjT8iKMW9SK0HM/bvRGEOvthE6KFfhjudwBs+UMcvyn8W256Uh+wikfwjucFmUSI+Xy7rkvyASuxFX/xf8Z5+BniPT+yeQSuH3HcdoPsqWtkaePj48s+8LEdIMBALDuDCfAcsOYYSq+MFDx3GUZMopUHDLmV+T2SInBlLUV0e46fLNmFLnqaGTCCHYM9xNSyhOTW0Nw0PD855X07Q5HWUrQeomkeZLkIZNKdWLVzzrFNOsGLHWrUi/H5X+N8TkERAeoIO1EaI3gX0J6FWLPr/yfJyhLOkHT6EWcQqqgktuzwDK8QltrZvpRClCUejciWhaXxaYlCoLR7qJmNW5UOoWZqyB0tTipYqzEZqJlWg+L3eSEALNihJtvYJwY4li6jR+KQdCoIdrMGMNZceYdt59YAICAgJWTb7g8Oi+vgUFqNkMjmbZc2CQq3c2YS/QDTjgBcLLTAtQP1hq0NnliTvW1BH1qle9asGy/+9973u8973v5f3vfz+maa5Zc7KAVx4Vn1lv2bKFe++9t6Kx9913H1u3bl3xZD7wgQ/wz//8z/zLv/wLsViMwcFBBgcHZ0oOjh8/zic+8Qn27NnDqVOn+N73vsc73vEObrzxRi655BIAXvva17Jt2zb+23/7bzzzzDP86Ec/4k/+5E/4wAc+MCMSvfe97+XEiRP84R/+IYcPH+bzn/88//7v/87v/u7vzszl937v9/jyl7/M1772NQ4dOsT73vc+stnsTLe8FzualNir6PhjraZLUMBLGtfzmcoUOXBslHseO8V//OQY//GTY9z/eDeHT4yTyZUuWDDzS41iscihQ4fmCVBnEFKQ80scev4wqiuK0Xw2S0lGTUKXNBC/ZR1alb3gha9ySxTGTi343GaildHRUZzZZVbKR3klFkrZLhaLTExMoJTCMAxaWlqIRkJs6kyin+OwskydW69t48ZLDRojOSxfYpEkpDVAfhzS90HuybL4s0q0KhsEWBuqSdzcQmS9wso9jTH2M6z8M0Q26SRubsdaV8eZnyY9GZ7/RF4Gpu6Gia+XBSgA3y0LUAB+Hibuh8FPIXfugvr2mVWFFFimjntsHzuao2jafPfTGUypEzFM6pPhVXcmXI5MzuXBJ0+Tn3amFRcInR+eyHLPE6e4qm4DrbEkuq7j+T57R04Tr0nOGw/lZh66XtnFg1I+Kp9FjQ8gB7sJexZVTZeRaLsWM9GMNGPE27Yh0t+G4b9Ac55FCG86yNyD4mEY+yKM/g048wWxM/hFj8zPehcVoGaTf3YIb2ruhZIQAmFHEKEYIhxHhKJzBCgoi1Ch2g1UWmNnVbcjtJXfMFsIqVvodoxwwzairZcRabmMUE0XmhkOBKiAgICLilKKwdEc45OVRXT0DKbJ5Ob/HgW8gHij0w6oCkj/GLzKO8lWwhmBafafiYkJPvzhD/ORj3yEt771rTzwwAMIIRYtvxsZGeHKK6/kjjvuoFgscvz4cX7hF36BhoYGotEoV111VcXaQsDLj4rPjH75l3+ZD3/4w3z3u9+dcQctxH/8x39w11138Zd/+ZcrnswXvvAFoGzxm81XvvIV3vWud2GaJvfeey+f/exnyWaztLW18Za3vIU/+ZM/mRmraRp33XUX73vf+9i9ezeRSIR3vvOdfPzjH58Z09XVxd13383v/u7v8rnPfY7W1lb+4R/+gdtvv33O/o6MjPDRj36UwcFBLr30Un74wx/OCyt/sWJIjR3JJp4eW7yV97m0RqoI64EI9UrCdT0GRrI8vr+fkjP34jCVLrLv8DBHTo7zqstaqKsOoWmvXFeU53n09fWRzWaXHCekwBM+E9lJWm5oh4JXrjzTNYSpIfXFX0OlPNzcwicSWqSJ4e5D89fxXJRmLtjdbHh4mGQyiWmaGIZBdXU1pZLLq69Zx2P7evF9haZJbrqqicaYhjuYJvv8MKWBEXA9NNPAaKrF3rQDo1Ygsz+FyA2gzQ8qXw4tZhG7rhnNG8N/5G78oV7mZFQ9/QiiqZ3Q5begJ+opnJhEr16gg17xMEx9f9ZrpqC4QDZS4QRM/Atiyx2o4dMzD+uaQIwNEMahJhpiZCo3ZzWBIKQbRA0LTUjWt1Vhm2svQhWKLvufH8VXEk2DvOcs2rFvIl3gyKlxLmvo5P7BI3iey8nJEdx2QTgcntMh1jAMWltbKxKhVCGH6j+KOrYXRmb9VkgdrXk9sU1XQVMdZL6FKD0BZnjxLnrFwzD2Jaj77XllAUop3KEMfqbCnCoFhedH0RIW0lyZgKNHaog0X0K2fz9LZaCZ8SbCDVuRa3zjRQgBQj+fqKmAgICANaVY8jjes7LMvKOnJ4hHzQt2EyZgCfwCpO9nbgneUnjlzKiqX7lgYeWpVIpf+IVf4KabbuITn/jEsuN7enq47bbbuPbaa/k//+f/oGkamUyGn/u5n+POO+/Esiy+/vWv86Y3vYkjR47Q3t6+7HMGvLyo+Ozu/e9/P9/4xjd461vfyrvf/W5+9Vd/lZ07dxKLxUin0zz77LP88z//M//wD//Arl27eP/737/iySzXJrmtrY0HH3xw2efp6OiYV253LjfddBNPP/30kmM++MEPLlp+91IgaUVoDifozy0dmHqGXclWQvra3BUOePGjlGJkosCj+/pxvcXdCfmiy8N7e7n56nZqqhYQBV7i+L5PznOYKOaYKOYQQG0oStywCekmctoq47ouo6NL56zpuk5DQx1VtVHy3gg9+e5yJzyjnpjRhCHDLGVAVf7iJxxCNykuJLYscaE9u2MnlC+QLcugszmBbekcPD5GTSJEY9Qi+8hzFE/1zYyTmgTPw+kdwukdwmxvInLNdrT8PohcU85zWgFCB0OM4tzzr+AudIdVoQa68e75F4xbfxn9mmaEdc7JrzdVdmXN2We1oBMMgKnHER2/jKpqgFQ5408KQcTWcUpF6iJRinmFqzwUoAsNW9ORQiCFoLkuSkt97IKESeeLLsNjWTRdR7nuTInlYjzfM84vbtiMPXSMPOVXIOsU5ohNhmGwefNmQqHlP6eqkEXtfxB19Kn5C30Xeo+gBo4jrrwdUdOOEAblE2IN7G341mUgE4CP8McQ+SfLQlThcPn4mL2tokfx5MougEq9U4Qva4YV/iRJzcROlh1IuZGjuNm5n1lpRrCrO7Fr16EZL7/vs4CAgIBzUUoxMVV5oyKAickCnudDIEK98KgCFA6sbJ38AYgXLogI5fs+b3/729F1nW984xvLnhMdOXKE2267jTvuuIPPfvazM+N37drFrl27ZsZ94hOf4Dvf+Q7f+973XtLX2wGrY0WZUD/60Y945zvfyZe+9CX+9//+3/PGKKV43etex9e//vUXVT7SK5WwbvCali38+4m9FBYo85jNxngdGxJ1MxfcAS9/iiWPA8dGlxSgZo89dGKMq3Y0Yq3QmfBiJusUOTI5xL7RXgbyUzOPC6A1Us2Vde10xWoI6SaZTGbJjmO2bdO1oZVx9zB7hh5lstiPZZmY0yVDEaOe1ujVNEcvw1ykbl9IbfFgZaUWcaEs/pld7ETBMDRa6mPUVocxfJfcY4cpdfcjhUAs0p65dHoANEn0qiakl4WVCtbFDOrJu5CGwl9KbykVUT/7Pvqb/3/zgtnxM1B4rvJtqhLkHka0rEdNi1AI0HWJFrGxDIewYZ4VsUT5FRZAW1OcK7Y1ELIvzPHeO5TGV2VRTNd1xBLf0UJAoeQxNlmgNV5Dxi3iui6a0FBKYds29fX11NfXY1kWcpkcN+U6qGN7FxagZuM6qMf/FXHzf4HQZShARV6H61DOLiueAiHRQtWEku9AijSysB/sraDFZ21Q4ReWFtnmzbHogb+6QHipm5iJVoxIHV4pi5ufQCkfzYygh5PTXf2CC6uAgIBXBgrwVvh96q/y+zdgjVCLd79ddPwFuob7yEc+wmOPPcYTTzxBLLa0Ez6fz3PDDTfw9re/nc9+9rNzlmUyGT72sY9x9913MzAwgOu65PN5Tp8+vfCTBbysWdHZdU1NDXfddRdPPPEE3/ve9zh06BBTU1PE43G2bNnCm970Jq699toLNdeAFSKFpDEc55e6LuMHPQcYK84vI5JCsKO6iZuaNhE1AuHwlUQu7zA8vnRp2Wz6hjLs2uxjvUzMcjmnxEODx9g7Or9kVQE92Ql6sxPc2LSRK2rbcN3FL6J1XadrQys9+Z9yfPysW3O2uzPrDHNk4i4yzhCbql+3oBAlpI4ZraeUHpy3zHfyhKMxSuPnuJs0E7FId6+amppFBQkpBSFLxxnKUjpxErmI+DSb0sk+vC31SHMQ9Oplx59BeR6q+xA4BaStg5SoojsvH0hoAmHrSJVHDRyD9ZchZs/fm2SePV0IMG0ozTphEwbErkRFXwvh7ahoCJp2wNhp6HkOUcyhReLs3mXTP5Khu3+KQtFFSkF13GZjRzWRsIF9gQRXpRSl0tn9EEJg6fp0SZ7irNNLTJd3lYUxx/UwdQPLtEjYEepiCdq2VCOlnOnqWhGlAurongoG+uCm8Q//DHHtm/CVJHP6cZx075xRztQpCsPPYFZtJNryarSFhNEKjq95488nB18IhGEjDRsjUrP6JwoICAh4iSNE+fd+JTlPtqVdMFEjoAJECEitbPwyFUWr4V//9V/59Kc/zd13383GjRuXHW9ZFq95zWu46667+IM/+ANaWlpmln34wx/mnnvu4dOf/jQbNmwgFArxS7/0S0ve4A14+bKqM+yrr76aq6++eq3nEnABMKRGa6SKX914FX3ZSZ4d7yfjFtGEpCkUY1dNKxHDIhyU4b3iGBjNruj3yvV8xlJ5YpGX/rHi+h77x/sWFKBmo4CHBo5SY4VpDi3ebay+vo4J78gcAarM/BO4vsyTRIw62mPXocm5X8FSt7Br1i0oQnnpPhobm0iNzyovEtq80GMpJXV19VQla1EYnOibQvkQDRskEzamoc1ke/kll8KRIZYq6TuXwvOjaFdWIy2/8tb2pTyqe9rBJAXS0sCUKE+hpp14QpMITZRPegWoU88iWjdDaLZYN397AoHSTZBauUteaCOq/ndw0yaF/aO4I8+hnBDCK2B21mJtez0yJMEKEdZ01rdV0doQmxEMNU1e8AwMIcScbQjA0nQ0KfGVj5p13Mw+ggxdw3U9EIKtySZCuom1itBrNXQSclPLD4TySa1bwhdJJo9/F7+wSEmq8ilNHCHtZomt/wVm62HC0DDqwrjDlYveejK0qCsvYGGKJQ/f91GUbzBZpnZBSkkDAgJeWuiapLUhxuGT4xWv09GSuCB5iAEVIGwIbYd0ZZ1egfL4NS7F27dvH7/xG7/Bn//5n8/JTV4KKSX/9E//xNvf/nZuvvlmHnjgAZqbmwF45JFHeNe73sUdd9wBlJ1Rp06dWtM5B7x0ePnU1QQsiiYlUWmzucqmLVqNr8qXOIbUMSu9cx7wsuPcIPJKcCrobHU+5N0S3ixlzNZ09DUom/HdIr5bwncL5Ysy3abaMOmK1XAqPTYjwbRGqtgeayCphdCEJOc7PJ8f5ZnxPlpbt6NpGp4314kjhKC6NsrekcfmbVfXF557X+ZJmiOXocn4vGVGtBarqo1iaq5AVprqJ9Gxnkg0RjaTBgTSDDFbptB1na6uDUzlFY/vH2Iy680psY1FTLpaE2xoqy6XmXkKZ2RlHe+c4TGgs1wyWKkIBZCftR1BufRNCoRxznMIAfWd+B3b8ZBQKp11+ehJkBHwzxEzhIRQDPw6/Po/JvtUP6UT5XwrjLpyiV8xT2F/D4VDg4RetY1QFIRWfv8uRhvqloYozx4dOVsJiCCim6SdwoIGoJClU5OwGepJE9IMrqhrX50A5Xsw2lf5CkLCpuvI9j2DX8osO9zJDFAYO0moYRty+rMrdIm1vob8odGKS+zsDUlE0B68IgpFl8lMkaPdE6TSRZSvCNk6nS0JmuuiWKb2im4qERDwSsfQJevbqznaPVFRWV7I1mmpiwYi9sVC2hC9BdI/obJwcq08fg1FqNHRUd785jdz00038au/+qsMDs69ObqU81rTNL7xjW/wK7/yK9xyyy088MADNDY2snHjRr797W/zpje9CSEEf/qnf4ofdN9+xRKc4b3CCBxPAWcIreICz7pAd8WyTpHhQoa9o6cZzE3hKZ+IbrE50cD2ZBMR3cScdcHtK0XeLVHwXEq+iyE0bN0gpBlos8q3fLeIkxunMHqMUnpoJmupqCAUree22vX0xmt5ZmKQV9esJ+ZoFI+OURhL4fiKUNjk2vV1yLownq9obm6mp2euOJRIJCioMVKFuSVKmqYtWiaXdUaYLPVRr88XoaRuE2m5FKHpFMa7Z+asvBLO+FE2b93OoQPPUfRASGPmJFFKSWfXevrHSuw5MIBt2/NK8dLZEvuPjDCeKnD1zkYsAfgrPMn0fJAmyBUeP5WczLZswt18LUUlGRweoXj0KEJqRCIR6uvrMY0YRvS1MPWdc55aoKw4KvEHZB/vo3Sqf3qBBjIMznRzBk2HcBX5Z4cRmoa9pXbF3dfWirBt0FATYXC0LKhJIQjrJp5S5NzivPEbW5L0FVJ4yufnO3ZSYy3uzFsSpRbOHFsQDarXoWL1lE49REX1cSJMcaIbu3YDyLPB3zKkY29IUnh++TbSWpWN2RqvyAmlPB91RlCXAvkKu3OfzpZ44tmBmePoDFPZEkNjOcK2zjWXNFOfDKMv0ZkzICDg5U3Y1rl8WwNPHRhc0gWvaYKrdzZhvsK+S190aLUQey2kf7D82NhrQVvbsvO7776b7u5uuru7aWpqmre8o6ODr371q4uur+s6//f//l9++Zd/eUaI+sxnPsOv//qv86pXvYra2lr+6I/+iKmpCl3ZAS87hFquJV3AqpiamiKRSDA5OUk8Pv9CMyDgYjOVKfKfPz2B51XoTLB0Xnd9F5FQuaW54/q4no/yVTmzRgjsVZR/pIp5ftBzgBPphct8LKnz2tatbKqqx9YMsk6RY1MjPDPWR0/2bMetejvKzmQL26obiRk2yiuRHz1GbvAg55abpZ0CGbeEkDotG27GNmoZ/Vk3kydGFqxMMxMhWl+9CTMZZs++vTjO2VyFuro6ZHKA/cPfnHlMAHYoVBaiFtnvjVWvY13VzYu+Lr5bxHfy5MdO4ObGUb6H1C1CDVvxtCgD/QOMjI7OzKWurg4zXMuDT/Wg6wZCyiUlgy1dSXauryH74+fxRk6Bmi98LIRWnSDxhuspGRLX94FyYHpIN5ALiG5KKShkUCO9kEnBxCCq73lw5m5PrbuU4vorOfb8YSZHR8C0EZEqmBbShBDU1tbS1dmKNfl3UNg/d0Phayhl3sDUvc+URRbll3Or/DAUC2CFwbCmn6/swKp642a02MXJwit3p8zz4JOn57gSfaUoeS4516Hou4AiEbF43e719JbGWJeopcaKnJdD0D/4KOrpeysaKzZcRr4uSW78GKjxctj7UhjNICwS61+NGWuYu928Q/apPoonU4uurlXZxG7sREtYS36X+CV3puueO5pDKYUMGdjrk2hxC2HrL/u7+Nm8w0/39DKWWjrA1tAlN17ZRn0yXFH2W0BAwMuTUsmjZyjNc0dHFsyHqopZXLq1gfpkCGMRJ/cLxcvhOqpQKHDy5Em6urqw7VW4lLxJmPwepH/Mwo4orSxAJX4etMT5TjcgYE2o9LgPnFABAa9QLFOnpT7G6YHK7kK0N8UxDYnjemRzDsd6UvQOpikUXcR0oPP6tiqa6iKErMouANNOge91758jJp1L0Xe5u+c5wvpl1Idi/KDnIMemRuaNGy5kuK//CM9N9PPmjl3EnDS5waVb3GqaiU2YwqM9qGyJml1tSEtHKfCzRdLdYziZIqXJPKn7j1N/22Z27tzJc889t2iQohACy7LQtKVFoOWQuoXULSJNO1Ez7eQEUi8HkXd2ddHa1kY2m8XzPOxwjCeeHcIwzIpe+5N9k2zpSmJ11ZAbH4MF3DfnotVUod98BQNujr1DvQzmJvGUIqybbKtuZFOinpBuYkgN5TrlAOzhbug5jMpnEJ4LbVuQGy5HDRxHHX4cPBcaOiltuJID+56mkC2XfAk7MiNAwbRoMzKCUyqyadN7sdw7wT1bVuYbN1A4OjydKaWBTICWBCXACM2ITzPP5/gUT04Q2l4/vwvfC4AQgmTC5vrLW3lsXz/5Yvk9lkJg6waGpqOUIh41uf6yFiJRnXq5uhK8edtu34p69iFwlw8DVYZdtssLwF9mvFZVDoUHfHd+O3AZMohc1YLZXkXh+TGcwfSM6KtV2djrk5idVciwsbQAlXfIPzdM4djYWRfUNMVj4+i1YaLXtKJV2RflvX0h8DyfE72pZQUoKN8weObIMDde2bYqB2xAQMDLA9PU6GiK01QXYXgsR99wBs/zMXRJR3OC6riNZcplO6wGvEBoCUjcAdEbIXM/5A9Md8ELlTOgoreUHVCLdFwOCHgxE5yNBAS8QrFMjZ2bahlL5cnml+6YUhWz2LouiVJwqm+SvQeH5uYK+IqR8Rwj4zmqYhbXXdZCIraMk0H5PJ8aXlKAOjtWAYJ7+w4vKEDNZiif5nvdz/CWtq0IzUR58y+cz7hIEsku1LiDtiFJLGpzvDdFZqo0LRBEaLutgdJwmon9vQhHkd3bT+ymLnbt2sXo6CjDw8O4rkvSrEdKia7rGIaOEMsLUFGzcdn9BpCaAZox7/EzOUmWVXbypNJFhseyFbs/iiWPvuEMG9bXkNsfBb8A/uKZP3p9EvWqnfxo9BhH0nPfg7Filp7sBA8PHud1rdvZGI4j+o+hnvkJZFPlQb6PSo/D0T2oeC3iytsRV70e9eQP8TZcyamTJ2cEKAyzXDq3AKnJKYaGJ2lt/APk5P+F/D4AlGzEGXgKhAVarJwdhQaaQJgaQoBf8mCW86/Un8baWIMWujgn3LomqU+Guf36LnoH05zsmySXdxACYhGL9W1VNNSGKxZ1K8YMIdq2oE7uX3ao8D2EOS3i+Rqohe7GirIApcU5Ex4vFinXlLaB1VGF0RBBOT7K9cvZYKaGsLS53RAXwC84ZJ/uBw8iV7UgTA188HMlSr1TOEMZ3NEcU/efIH7LOrRk6GXpiCo5Hqf6JisePzqRJ5MtBSJUQMArHF2X6LqkozlOc3207CKVEiMo131xokXLf6p+BeKF8o02pcr5T2scRB4Q8EKyqrORW265hf/v//v/uPXWWxdc/pOf/IRPfOIT3H///ec1uYCAlwO+7+O6Lq7rzvzYa5qGaV68fC7l+viOR0zTeN3V7RwbmOTwqQmKs9rGa1JQlwxTXxNmfVsVliE51Z9eNk8glS7y07293Hx1O9Hw4vuYcx32j1cWkNwaqcJVHs+M9mHqy39t9WfGOJUeoyveTHHi1LzlptTRpEayZgvFosbTzw3S2zdF0fVRs+rx9lk6m9bXsuWWLXhP9uOO5PDTRez6KM3NzdTX16OUQskCDYn1pJ2BitxPEaOOhNmy/MAVkM2XKs18niGVLuI3J4hc1kr2KQWeDl6ac23fwrYQ1+7kP4ePcrIwsWi+U9YtkS9m8EZ7kU/8AMEsl4qQEKmCzARMjaIe+FfE7b+GuOlXUJEq5NgUdjhCoVSaLsNbvBRgeHiExsZLMJO/URbO3BHw4ijRAIYGaGhxG6MjgdYaRWkCylWjeANZ3O5J3LE86gIH7VeCpkkiIcnGjiram8+WHAi4YN3NhGnDrptQU2MwtsxnMFaDWd1Gfvw4GC3g56aD4f3yLEVo+i6sZLYApdtLlwZI24AVnj8rpXCnitjranBGs+SfG8bLlkAIjJoQ9qZaQlvryD03jDuSJftUP7EbOxCh+SLuS51s3mEqs7K21t39UySr7Dm5eQEBAa9Mzu3SGvAiJxCdAl5mrEqEeuCBB3j3u9+96PLh4WEefPDcVuUBAa8slFIUi0VGR0cZGhoil8sB5R/+RCJBU1MT8Xj8BRWj/KKLKrgUjo/jDGfB8xGWxvr2Kjbt7mQgledE/yQNdRFqa22m/DypUo7DmTy1VhQ7orOhvZpTfZNLdsqbypQ40TPJ9g01i3ZlKnou/bnK7uRvTjTw9GgPOa+EoS1/Ya58l32j3XS0boMFRCgpoLZ2A46weeixo4yN5RCynN80W8cpFl2ePThIPu9w5VUtlH56muLJFFoyjNTlzHvnK522+LUcGisHZmvCoDa0lUZ7G5YWm97fDEPFg4zkDtESvQpdhhedf8nx5mR16bpYPp9hlel+QhNY65MgBLn9/ahCHFQO/OnyPKFjbl7HMS/DyfxE+cVbhKQVocuwmXj0uyS1c9w7grK7KVYDTV24G7ZTioeZ0Hoplo6it5ps3HQZubTDyHCKdHrxrn35fJ58Po+ZSJQFEKMRcg7CDKMcD2t7HaItysjwMEP7jpPPlj97lm1R19xAw5WNhMZLuL2Z8yqZXEuklISsF04cEJEq5A2/hNr/AOr0ofmleeE4YuOViI5taJqGHkri5idAxsph72dnzrmB5Wa8GaGt/feaX3RROYfJB07iTcwt93OHMuQPjmCtqyZydSv554ZwBjN42RKyQhHKL7rgK5Sa1lk1+aINOi+tQkAtuR6+Dy/TCsWAgICAgICAlwir9mUvdRF47NgxYrHYap86IOAlj1KKXC7H4cOHZ8Sn2ctSqRSpVIq6ujrWrVv3gghRZ3JU8s+PzilJAnD6M8iQTuPuNmoua+DgxAA/7T3EaPFsxyXH8aiSEa5p7OSqugaefnZkJsdmIU71T7Kxo4rQIlc8jr/4uueSMEP0ZlOoaZ/SssKBgoHMBMKwy/lA55QQCQSh6vU8c2SEsbHc2ZUWQEPQ3Z2isTZKa2cVavpCdTZSaDSGd5J1him6adZFr8fPT5EbPE66OIlSCsNO0J7cwcaG12AYMbQFypWKJZepTImj3RMMj+dwPR/T0GisjbCxvZpIyFi0Y00kbMy4tCslES1nV6FJrA1JzLYEpZ5JSr2TKMdDGBKzJYG3Ls7+7n1LClAA2xN1qFPP4ZTylKww9rkldVLiX3EL6booJ1P3Mtr9HCoUxjNs8oUChgzTHL+EdetvYbTfZnh48dLLczO5hCYwGqPIaptCjeTwU3txinPHFAtFek+cZqC7j43bt5C8vAFhvThFhhcCEUnAFbcjdt5YFqIyE2XHWm0LoqGrHA6vG0jlE27YwlT3z6Y76y3+mgnNJFS/CbnGnViVUvipIqkfHEUVFv/uKJ6YwC+4xG7sxEuXKJ2YQKsKIZcoNfELDu5EgcLzo2Vx3vURpobZFMPaVIMWs5AvsjI2fRVKkq7J5T7CAQEBAQEBAQEXnIrPqr72ta/xta99bebfn/zkJ/nyl788b1wqlWL//v383M/93NrMMCDgJUipVFpQgDqXkZERdF2no6MDw7hwJSN+wSW3b4DC0fElxxUMxUM9R9g/2T+n5EopRcnx6ClN0Jue4Ob2TVy2s5kn9g3hLnJHPp0tkS+6hOyF98tYJDNmITQhcH0PgajMuSIlnuuUBSshUeeIUJoZxdci9A70zHp0rg9KIJCi/EcAx06O03plG5yaWLB1vKlF2JB4LV5hkrGTPyGf7Z+z3C+m8dMT+JEmjPZrUbY1J/8mX3DYe2h4Xs5LseSRzpY4dnqCretr2dqVxF7ggtg2dRpqIvNatS+GaWi0NpwNs5SGBoaGvbkGq7Pq7OtgaUyU8vTmUss+50Y7Tqm7HAZfcB0sOde15u+8jok6g/19X8T1pj8bpQLSDAECx8/TnfoZY7mTXNn8LlwvyfjYwsfsucGp0tIJXdJArpjn8NPP4JQWzznzPI/nDxxmx+7LSIrIsvv1ckaYdlls2vYqlOeCEIhzSiGFkBixBqKtl5Hp3bdILhQI3SLefvWypXirQRVcsnv7lhSgzuD0pymemsDsSOBlHfB9zpQKnouXc8g+2Uupe+7nTjk+hWPjFI6PE9paR2hHfbmE8EVCNGwQCRnL5vnNpq0xtqgzNSAgICAgICDghaLiq8BcLsfIyNm70ul0et5FgBCCSCTCe9/7Xj760Y+u3SwDAl5C+L7P2NjYsgLUGYaGhmhubr6gIpQ7lltWgNI3JdmfHeTp7hNoCXue3UjN+v9PTj9PzcYInc1xjp1OLb5db3FbjqXpNIcTFZXkFT2XmGGTc52KMnKkNAgbAqnUrM5yZzFiDXT3T+L4frl7ll+uvxGUnU+C8vfZ7C2Nj+fIOR7VXdWIRVwVwimR6X4K3SnnPnmqfIGoCR0pDAQSv5Bm6uQjJNbdgB4qX6wXSi57Dw5xqn/xToVKwcFjo0gBW9fVzMtysC2dTZ1Jhkaz8zxdiZhFW2OMWNhE0wSO66NJgbFAHoSQEnFOUHepQteapekU8pnp+Z7jWovVUGpr59nTnzkrQAEof957mikN8+zw/2NXy68yMT6BOsfepWkakcgC4lFEp+/0wJIC1Ay2Rk9vD7F47KLms72YEEt03pOaiVXVjh6qpjB2gmKqD+WVSzalGcGqbseu7kSa4Xki1lrgZR2cocWD88+l8PwYidduoHhyYtHvDL/gkn2il9LpJb6DFOQPjoAUhLbXv2gcUaah0dEc5+DxsYrGV8UsqmLWBZ5VQEBAQEBAQMDyVHw29b73vY/3ve99AHR1dfG5z32On//5n79gEwsIeKniui5DQ0MVj/d9n6GhIdrb29G0tb948wsuhaNLX6gIQ+K3Rth7+FmUr8qlWLMutsqizNnxCnhyuJufb9vF8Z7UoiVg5hIlMGHd4JJkc0Ui1OnMBJfUtPDgwNFlx5YnLNmSbEdlR1iwzE4aZPIOyneRloFfcMsC1DICV67oUlu/cCtc3yuRGz6MKmWRSKSw0MXCF32+kyM3dJBo6xVI3WQyXVxSgJrNoeNjdLUkFgwUrU+G2Lmpjv3Pl28YREIGOzfVErYNTvROcqw7hev5RCMGmzuTuK6PlGLZ0h6jQlHBV/6MkHHuhb/q3MpA9mkc99ysp/I4KSW+f9ZVN5Y/Sd4fpbq6mvHxuQJqMplEXyCg3vU9JjKTCEtHFV2EEFTVJokmomhS4noeUxNTZIo5hKmRTqcpFAqBCFUhUjOQ4SSaFSPcuB1878wCpGZeEPEJQPk+pVNlMUlIgaoggd8bz+PnXcy2BCzyPeSO5ZYWoGaRPzSCvT4JLxIRStckGzuq6R1KLxtQLqVg56Y6rBdpvlVAQEBAQEDAK4tVnU2dPHlyrecREPCyQSlFJlP5HXsoOws9z7sgIpTyfUr9i4c8AxhNMXpzk0zky6VcqughDO1sBpAQWIZGsXi2DKd7cpxCm0NtVYiRify856ypsrHMJZwVQrKpqoEDE4P0ZCeWnN+x9Aj/dcNVPD3aS8YtLjkWyoLG5Q3rECOHFxmh0KRA+SU0u9wqvpLWcpqtI42FL2iV61CarKzbH0BpagDfK+H6kqOnlt7/2Xi+4kRPih2b6uaJR5ZZdkNFQgY9g1Ns7Ehy9PQEB46O4noKKcsd10qOx8/2DxC2da7Y3khTbWRBV9QZbM1gQ7yW3uwkBW9xl9GYU6C2tpV8ehxL05GcPX7c1i4GBn40fyXdACEwTZNCYW7YdE/6Z7TVvGaOCKXrOi0tLQuKUJlMBl/5aBGThq5WGuqqEV6BUnoA5blI26SxpR3XlwyOjDE6OsbExATxeHzecwUsjtQM0F7A0jQf/JJXdiuaWkUleQDK8TCaows6ofzi8uL8HDxF4fg44UsaF3VCvtBEQgbXX97Ko0/3kUov/L2o65KrdzTRWBuZ514PCAgICHhp4HsO+C4z0RFSL/8WBwS8RDmvW3rpdJru7m4mJuaXSwDceOON5/P0AQEvSRb6LCzHbAfImuMpWKaTkgwZDBXOOgIW2gdNSnRdzmRAKWCskMG2F/4a6WqpWvbOe8yw+fmOnfxnzwFOphe+IDSlxs1NG4nqFj/Xvp3vnHoGx184k+YMtzRvJmGGMRq3g/IpTvbPybHxS1nqkg0IqYMm0WIWXqYE3mKvk8CIm1RVhcrlewvgZEdQSwg056J8FyczhBbvZGi8shynMwyMZtncVbOgg8kyNTpb4jTWRXj60DBHuycwDQ3bEhi6LLtJpq/JcwWXR5/u47rLWmiuj87Li1GeC6U8YdfhF5JtFGva6Slm2Z8epTs9jn+Oy+yZ9Bi3bbwc7dSzmFI/W4tnWChNI1canr8zdhghJLousCyLYvHsxXTWGcOInj2GDMNg06ZNC5fiUf4cCSHYsL6TsO6Q7v0ZxfQ54eb9zxFKNNHaspNwOITnLX0sXUiUUhWVl77iEZQ/d0IgbR1V8ipyQ8mQvnggua9WVN4H4AxkUFu9F40IJYSgKmZx8zXtDI5mOdGTIpUuopTCtnQ6muJ0tiQI2QbGi2TOAQEBAQGV47slPCdLYewETnoY5TkIzcCI1WPXrEMzImveCCQg4IVgVSLU6Ogov/Vbv8W3vvWtBU/gz5xYX8yT+4CAi4UQAl3Xcd3Ku78ZhnHhLkalODdze0HmLF5gKkJAyNbJZJ0ZkWqxTnWNteW8KJSLV3LwnTygEJqF1E2kfrZMrcoK8wsdlzCcT7NntIeh/BSe8gnrJlsSjWxPNhHRTUxNpz2a5Bc7d3Ff//OMFuZfQMYMm+sb17G1qglbN0A3iLZeTrhxO4WJ0/ilDCDQw9XUR5MkqtJkcg5KF2hxC1Xyym3aXVXeO1l2XkhLp6U1jrVEKY7vLV0Ss+A6bhENFg13Xwx3UbGsjJSS1FSOU32ThJYpH/J8xZ6DQ9RUhwhPi1DK9yA7hTq5H3XqOUiPIX1FUfk0t22mZeMVjCQauHvwKDn3rPB2Ij1GsX0niY7tyKHTEEsi2rYi6tux9Bi7O/6QdKmf/vRTjKcPoYyzjhqBIBFqpLXuGhKyFYmB73tYeoyqqiqi0SgNDQ1YlrWoo8MwDDo72gjJAmPHHinvxzwU+cl+itkxajbeiCtfuGBypRSq6OLnHEo9U/hFF2npmG1xZNhAWHogSi2A0CRma5zCkVHQBDJm4qdLSwpRem0IPRlG6AsL4Uop1Ao/d8rzl/0efaERQhC2DbpaEjTXRc/eQBACU5dBEHlAQEDASxTfKZAbPkx+5ChzfnzcAl4xTWH0BKG6jYQbtiB1+4LMYXBwkDvvvJO7776bvr4+6uvrufTSS/nQhz7ErbfeekG2GfDKYFUi1Hve8x6+//3v89u//dvccMMNVFdXr/W8AgJesmiaRjKZZHh4AdfHItTX1y9YXrQWCCnQ6yK4w4u7bfyCS519NutIGNp8dUmUs4Oi4XJHJt9X1FgReopnQ6YF0NYU45qdDQgvQ7b/2JwAY4TEjDVg16zDiNTOiFERw6LLsGgMx/GUmtHMbE1Hn5UzY2k6XbFa/uuGOAO5KQ6lBim4DrrU2BCvoytWg60bczKMpG4hdYtIw7aZLnlCavg+bOmq4akDg+VdlQIsHe1c95Yol7Rs6apZ0tklV9Dt7+w6BigwdA3XW4FoqUuWuhoullyOnq68xC+bdxgazdHZEi93Ehvvx3/4W5A7m1OlSUHCF0yeeIbS8X3UXfFa3ty2hW/1HaY4HVwugJQU1F/7CzDWh7AjqJPP4j/0//ANE6GmSNS1Ub3xtRRrXs/B3L1k3CHiZhubE68jptXjTI3gFXIIoWNE6xBF2Na1CXSJtkx3smg0iq37DB/44SIC1Fl8t0jq1OM07XhhOrkq18cdz5F7ZhBnMDPn7cvtH8RojBLe1TgtnATCwbnoyRBalY2XKiB0iRa38IsequSizjRAEOUuj8LWsbfUIa3FP6/iTGlfvvLPnTDkwqr7iwAhxIJdMwMCAgICXnr4bmlagHp+iVFqZnm4YduaO6JOnTrFddddR1VVFX/5l3/Jzp07cRyHH/3oR3zgAx/g8OHFIi8uLqVSKcj6fAmwqjOWH//4x/zu7/4un/rUp9Z6PgEBL3l0XaepqaliEcq2beLx+AVzQAhbx96QJLOECOUMpGnb0U7CDjFVzCNNbW4S+ZnnEuWSrnjUosGKkTBDnHDTJBM21XGbjR3VxMMafn6EqdNPos51Bymf0tQApakBQvVbCNdvnuOKClXwA6pJSVTabEzYtEer8ZRCIjA1HbnEayikRMxq065p0NkSJ19yOXB0dHr/mLffuia45pJmkoml7zLpkToQ2qLt6xeYEEasHiWgoTbCqb7KApIBmuuiCwaTn8HzFAPDKys1Oj0wSUtDBCOXwv/pNyE/P0dMl5JqK0zJc8ntvY+kaXN9XQd7UwNsTtRzSbKVuGkjPAdVKuA/9P8gMwGugwhF0XSXYupxOP4kxror2HX5L9DvHaU9dAXFoROM9v4Mr3BW1JSahZ1sJdy4BeGEEDVRZGhxIUqTgvxUb8WuNOXkcbKjaGb4gjqQlOfjDGdIP9SNKi1wfKhyqdfU2EliN3ZgNEQXLft8pSIsjfCuBtI/PQ0+ZUdUWICtM9MZYfrzK2MWoc21ZTF9MTSB2RijeLJysdZsjSOCcO+AgICAgAuMV8pOO6CWJz9yFCvZueYi1Pvf/36EEDzxxBNzYhC2b9/Or//6rwPwmc98hq985SucOHGCZDLJm970Jj71qU8RjZZvbH/1q1/lQx/6EP/2b//Ghz70IXp6erj++uv5yle+QlNT08xz/uM//iN/9Vd/xbFjx0gmk7zlLW/h7/7u7wBIpVJ8+MMf5j/+4z8oFotceeWV/PVf/zW7du0C4GMf+xjf/e53+eAHP8idd95Jd3f3hY05CVgTVnWWGw6H6ezsXOOpBAS8fAiFQrS3ty87TtM0Nm7ciGEYFIou+YJDvuCuuDxrKYQQGM1x9NrwomNUyUP259jV0I6wjbOB5As/IVIKrm7sIBkJcfPV7dx6TTtXbmsgGbOQOGQHD8wXoM4hP3yYwvipZR0rS2FpBmHdxNaNJQWoRdc3dbZ21fDqK9toro/O2W1Dl3S1JLjl2g5aG6IYi5T1nEHqFma8ackxszFjjUjdxjA0NnZU7ibVNEFna9WSZTaer/AqyMyZTcnxEZ6LOrpnQQHqDFIIbN2gyrIJH93DVVUNvGPjNdzYtJG6UBTT91GnD6Oe+gFIDWJJqKpDmCEMPYbQykHkzsm9aCcO0RW6hvSxx0mfeHaOAAUC4fsUR0+TOvwAvjZFaWgKP7947pZQHk56oKISJCkFlmlSnDiFcksopfB9F/88jsfF8AsumUd7FhagZqFKHplHe/ArDN6+kBRLHvmCS67gkC+6lJyLW14vpMRoihG9tnVWtztR/q7SZPmPlMi4TfzGTmR04c6UZ5Cmjr25pvLtGxKrszoQBwMCZuG7JXyngO8WLsh3Z0DAKxHfcyiMn6Dy+m9FYex4Obx8jRgfH+eHP/whH/jABxbM4ayqqgLK8Q9/8zd/w4EDB/ja177G/fffzx/+4R/OGZvL5fj0pz/NP/3TP/HQQw9x+vRpPvzhD88s/8IXvsAHPvAB3vOe9/Dss8/yve99jw0bNswsf+tb38rw8DA/+MEP2LNnD5dffjm33nrrnKY1x44d41vf+hbf/va32bdv35q9DgEXjlU5oX71V3+V73znO7z//e9f6/kEBLwsMAyD5uZmpJT09fXhOPN/GCKRCJs2bUFoOsd7JzndP0Wx5KFpgtrqEOvbqghZ+pId5ipFCxvEru8g/Ug37khuwTHu8+NccVsHKa3EwcmhJZ/v6roONlc1YCJRvkupL01pNAfKR4QE0dYr8dxJCqljuPnFnQb50aNY1e1oMnRe+3c+WKZGa2OM2uoQJcejWPIwDIlt6miaWFZ8OoPUTcINW8oB5ct08BOaSbhh64wLLBE1Wd9exfHTqWW3s2NDLfYybgy5lIi4CJapoXkl1OkDFY2XQkB2EjHcQ7Rz+9kFpQLqmZ+U3SkCEJIz9zukUoSMJHl3HCUkWtNmMqf34IyPntOdUCDF2X1Ubompo49Rvf21OKNZzNbEgs4lhQInj23bFItFXHfhiyJNk9iWjRFJYic78f0SpZGTeMWzmWFmrBGhGefdfUb5ilLvJH6uspNDP+dQ6p3C3liDWMX7eL4USi4TUwWOdU8wNJbD9XwMXaOxJszGziSJqLkm30mrQZo6ZkcVVbURisfHKHZPv65SoCdsrA3VmK0JZMio6LXTEjb25hoKR5bvkhfe1YgIyt0CAlDKR7kl3HyKwvgpfLdQdvZGklhVHdMl8EEpTEDAqvFdnHTlkR5AObS8wV2zzrXHjh1DKcWWLVuWHPehD31o5u+dnZ188pOf5L3vfS+f//znz87NcfjiF7/I+vXrAfjgBz/Ixz/+8Znln/zkJ/n93/99fud3fmfmsauuugqAhx9+mCeeeILh4WEsq3zO/OlPf5rvfve7fPOb3+Q973kPUC7B+/rXv05dXd357XjAC8aqzqh+6Zd+iQcffJDXve51vOc976GtrW3B1vKXX375eU8wIOClimEYNDU1UVdXx/j4OKlUCt/30XWd+vp6wpEYw+N5njrQS/4c58PoRJ7nT02wrrWKSzbVEVqkA91K0OIW8Zu6KA2kKR4dxxnNgqcQlobZHMfeXINm29zWto3aUIz9432kSvk5z1FnR7mspo0dySYsV5B/fhh3LAc1Nl61URahJnPkHxhEr44QufQK8hPPUUoPLjgnv5TDyQyjVXec9/6dL7ZVFp00TTKeyjPqFDB0QU1VCNPQlix/O4NmJ4h37ibd/bPpMPb5SN0m1nE1eqhq5jHL1Nm1uR4pBMdOT7BQg0VNCnZsrGVjR/Wyc5GyLGSOTiw8h4VobYghspOo/MrK+Bg8gWrdhNANlO+j+o/BAqHxQDlXDIuwXovb2IbSJKXJIXBnD5EItHnRO75ToDjRja5aUUW37NhbZBtSlEUm31Q4jjNjy5ZCYBgGUkrMWCPhhi3kho/gnH4S1Cz34Vj5fbJqugjVbkQzVh/4qYouxROVl3wBFE9MYLUnEEuUHl4IcgWHPQeGOD0wNedxz3M51T/Fqf4p1rdXsWtz/bKB9xcKaWjIKg1tVxOhbfXTQdzljo/C0lck3ElLJ3xJI0II8s+PnSOElhG6JHxpI9b6ZLlMOSDgFYzve3j5CTK9e3HzqTnLnPQguaEj2DWdRBq2IY2Ld3MpIOCljVhRt2Uod1wWaxhaWGmn73vvvZc/+7M/4/Dhw0xNTeG6LoVCgVwuRzhcrsAIh8MzAhQwJ7JkeHiY/v7+RUPOn3nmGTKZDDU1c53L+Xye48ePz/y7o6MjEKBeYqzqLPL666+f+fs999wzb3nQHS8goIyu6+i6TmNj48yXoxACIST9wxkefbpv0bIp31ccOz2B63pcsb1xTUJnZcjA6qrGbI6VO0spQAiELpDT7oYoOtfWd3FpbSv92UlGCxmEEDSEYjSE4oQ0A1HyKJ6cwKkxyTbqPDPeSyqXRwL1VVG2d62DySK5vf2EL9+B7xYXdUQ5mVHMRCtSXrwLPKUUmZzDoeNjnB4sO9LOYOiS1oYYW9fXEI+aaIt0ZgOQUsMI11K18VaKk70Ux7vxSllAoZkRrOoOrKpWpG4jztnfkFUWoja0V3G0e4Lh8RyepzB0SXN9lHXTzrhKxDDb1FjXWlWxCGXoksa6CKRWJpYA4LtnBZxSAdV3ZOnxQqAJE63zcjKpHlTBRQBSaHMyuxYiP3KKqo1dqKIHC4hQAoFmxXFzYwgh0IRAWuZZR7uYHmMnCDdsYar7MdzcBNIMzzt5890C+aFD+E6OaNMu5HkIUX52ZSeTfnblnRYXfB7fJzfrRFYAId1Aivmvc6HksvfgfAHqXI6fTiGFYNfm+iWD+i80QpdrEuAuQwahXY1Ym2ooHh2nNJQB10cYGmZbHKurGmHryAo+dwEBL2eUUnj5FJMnH1nc7as8CqPHUV6JaPNl5/W9GRDwykWVowvcQsVrCKmX3eBrxMaNGxFCLBk+furUKd74xjfyvve9jzvvvJNkMsnDDz/Mb/zGb1AqlWZEKMOYe74mhJgRuUKhpcXqTCZDU1MTDzzwwLxlZ0oCgQVLBgNe3KzqqvYrX/nKWs8jIOBljZRyTlv5XMFh76GhinJ7TvVP0d4cp60xXn7Ay4IqgF8oB2FLC0QUZGWuCSHE4i6SaQxNw9A0NlfZbKZhzjKlFKVUgUydwY97DnJ8fPjsHROlOKw8Hut5nh0N7dxwyXpKJyexWzeQyT+58MaUj7iIfc+VUkxmSvx0Tw9TmfkX/47rc7JvksHRLDdc0UpNlT3nvTwXISWaGSZUswG7qn3WSYFAaiZiiXUtU8MyQ1y+zZzOBSv3CTQMDX0FWTRCCFoaotT02Iyllj+J2dJVg6FJsBbPDVsUMwJnOgMqH5ylSxFnCMfxJoamQ6VFRXfwvHwaoQl812MhSUDoJnZNJ5nc2fIqUVae5mAnu8oOqPQQmhVbctvF8W70cA2h5Lol37slWenNyfO8men5Phm3yPOpYZ6b6J9xNFZbYXYlm1kfryeizxVUJ9NFuvuXFqDOcOz0BBvbqy+qCDUbpRTKLU5/0srH00rca9LSkZaOdmkjtuPP9CYQphZkQAUETKPcIpn+fcuWmwMUJ3owY01Y1R0XtOlDQMDLEqljxOrxiovnc56LEatHrKJL82Ikk0luv/12/v7v/57f/u3fnifypFIp9uzZg+/7/NVf/dXMefG///u/r2g7sViMzs5O7rvvPm6++eZ5yy+//HIGBwfRdT3Io36Zsaqj9Z3vfOdazyMg4BWDUorhsRyZCjNiALr7p2iukWheD6TvhfzTZSEKQG+EyHUQuR702rIwdQFRJY+05fPvh55iNLfwD6TjeTzdf5J0Kc8b2nZgGhJpRvBL8zv0SSM0nRt0cSgUPR5/pn9BAWo2+aLLI0/3cdurOomElp+vkBIhV3cX2NC1irOoFiNsG7zq0hYe3dfPWGpxR9TWdTVs6qzGMDSUHYGaFhjrq2wjQiC6diDOlGMLASvKAlErFFzKMsNiDhghJGasCc2KTuc7zUcaYfRwFVPdj5ZP2Cr4vBTHTmIlWtFW834KgRa3V+SG0uL2gt0pK8H1PXqzKb7XvZ/0OYJgzi3Rl01RZZ7k5zsuoSkcR5caxZLHse7KXXBKwbGeFJdG6s77OD0flO/juwVK6YFp12Gu/HpbUeyadRiR2rLrsMLXUhgaWuB4CghYEK+Uwc0un592hsLYSYxY43mVMwcEvBKRmoGdXEdhtNJwcoFds/68MyzP5e///u+57rrruPrqq/n4xz/OJZdcguu63HPPPXzhC1/gX//1X3Ech7/927/lTW96E4888ghf/OIXV7ydj33sY7z3ve+lvr6e17/+9aTTaR555BF+67d+i9e85jXs3r2bN7/5zXzqU59i06ZN9Pf3c/fdd3PHHXdw5ZVXruk+B7xwnPeV38DAAM888wzZ7OLt3wMCAs5ScvxlS15mYxqSja0GIvtjGPok5B47K0ABuIMw+a3ysuLRcnnUBaTgOTzQe2RhAUoIZqsKx0YHeW5qEDfnYcYaFxivYVW3Iy6iCDUxlV9SpJlNNu/QO5TGX2HnuYtFLGJy62Ut3HF9F6+7qo1rtjVQXxPGNCSdLXFue1Un2zfUnC31tMKI9ZdWvoH6Dogkzv7bDCGaN1a2bj6DZkQQRuX3QqyaNoRhIjQNZzhDaSCNO5bDzzuoM7lPhk2s41qkubA124w1UJoaQPku0oxUJFC4+Qn80gqzsqYRloa9MbmideyNSYS1OjFkKJ/m2yf3zROgZpMq5fn2yX2MFcu/275SDI8v3LBgMYbHsmvaxXOlKN/DyY2SOno/mZ49ONlRfCeHX8ripIdIn3qMyeMP4RZSKBW0ag4IOB+U71GY6F7ROk52dNkuuQEBAQujmRFCdZWdT4XqNqIZq3CyL8O6devYu3cvN998M7//+7/Pjh07uO2227jvvvv4whe+wK5du/jMZz7DX/zFX7Bjxw6+8Y1v8Gd/9mcr3s473/lOPvvZz/L5z3+e7du388Y3vpGjR48CZWf/f/7nf3LjjTfya7/2a2zatIm3ve1tdHd309DQsMwzB7yYEarS5LFz+I//+A/+6I/+aOYgueeee7jlllsYHR3ltttu46Mf/Sh33HHHmk72pcTU1BSJRILJyUni8fjFnk7Ai4hC0eXhvb0MjVV20XfZ5ira43uwc/+CvlzorpaEhj8Go2UNZrowY9k0X3rifpzFMt+UAnV2WV0kzn/d8Sq07GnywwfnDDUTLcTarpzpEvdCUyy5/Gz/AD2DlVuea6pCvPqqtosWzFwJyvPxix7uUIbCiXH8vAMItGobe1MtImKAoWEs4PpQ+Qz+E3dB7/NLbyQURd70K1DdOEfIUdlJ/B98GYrLHN8tm3C3XM5k3168qeKCodCzCTdvIVy/jeLRFKWeKfz8WbFVS4aw1yexOqqQ4XJAulfKkh89SjHVi5qVqxBu3IFXylIYO74i8TPWcS12dXvF42fj5Rym7juON7F8aaRWZRN/zXq08MrvaObcEnd1P8vRqZGKxm+vbuL21m3gwl0PnqDkVJ7jGA0bvPZVnYSWKe29UDjZUSZPPLzsRa40oyTW3YBux16gmQUEvPzw3RLpnqcoTfauaL2qjbdgRGov0KwCXs68HK6jCoUCJ0+epKurC9teuSPQdwvkhg6THznKwo4oQahuI+GGLUg9cBwGvDio9Lhf1VXU97//fX7xF3+R3bt38/a3v52PfexjM8tqa2tpaWnhq1/96itahAoIQCnw09OCjCqXnAkbIXW0CnNGTEPS1iBx+r5PyC5nnSyJNw7p+6Hqv5Szoi4ARyaHFhegYNoNJWfCqkeyU0w4eerP6ZSjWTEiTTsvmgAF5fD3qQpCoIWA+mSEpqRJ2BDofgml5EV1cC2Gcn2c0SyZx3rw03P3zRvPUzo+gdmWIHJ1CywgQolQFHnVG1BWFHVqP3gLOOuSzcirXg+JuvlOIjOEuOQmVPcBRFVduV2wW0KN9sHErC6JA8fRd70aPVaLcoaXDOMONW/Cjq1j6v5TqKwL52QzeeN5suN9lHqniL6qDS1iotvl4ytcvwWvOIXyXIRmoIWqyQ8dWuC9ExjRWjQzCkKiPAcnM1xuPw7n9V7LkE7sug6mHjw57z2ZMy5mEru+AxlancCZdUqcSI/OeUwXkiorjCElju8xXszhT997Ojo5zKubNhISJqYhVyRCVVyGpzxQLojKSh8rwXcLZAcPVuSy8EsZ8iNHiDTvWvNShYCAVwxCrC4T7wLHAwQEvJyRuk24YRtWspPC2HGc9HC5C950ZpRdsx7NCCNXFIMQEPDiYFVnuh//+Me58cYb+clPfsLY2NgcEQpg9+7dfOlLX1qL+QUEvORwvAK+KqJUEaGKiFIPZu4JKJ2C0A7M6K1cubWKH6Xyc7qwLURLQxRRPIT0xxCiwh+Z3GMQf8MFEaF83yddQSjpTMaTUoAi45WoF+7MMjPWQKR5F5oVXfM5rphlvKAdTTG2NIewSlNw8glUIYPos1GNndC8EUwbYbw4TgCUUrhjOdIPnEItcWyVeiZRJY/oDR0LOm5EOAaX3YrYdi3qxH7U+AD4PiIULZfrJerKpXsLXZToOqJ1MyKWRJ16DvJZsELIXTejSgVU9wHoex4a1yHsOPH2q5h0H8ZVqbJj65z3Q1oRwnVbSN9/GpXzYQk3oDOQJrunn+jVrUhbL4sOmoFmzrWpG5Ea8mfMQkJiVXdiRdqgIHCGsyjPRwsb2M2bcUujFCZPoZ2Hk0YIgVZlk7h1HflDIxS7J1GFs+KesHWs9gShbXXIqLVgiaDvFsudZwE0Y8FukqfSo3jTAlPCDLG1qp7NiQSKAq5fwpA2njI4nEpxODVMxi3Sk5lgW1UjjbURjp1OVbxPzfXRxTs1Kq8swDv9kHuy3ERBhiFyDegNIGPnlQPnOwWczHDF44uTfYQbtpUF0YCAgBUjpI4RbaA4cbridaQZDrrjBQScJ1I3kbqJ1nQJqsFFIFAohNSDGysBL2lWJUI999xzfOYzn1l0eUNDA8PDlZ8gBgS8HCh5OXLuKD3pRxlLP4rrptCkSVVoC22x3cRjr8FM/Qti8EEi8bdw42Wv4sG945ScsmNICKirDhO2dYQQFB2PZFRC4QCWqVWeU+ylyo4ofWU5NJUghECXGtLU8JcR0MrOLwVCYBg6yoVQ3WbsZAfSsBe1DvvKRykXEEihX9DOOkIIImGDyczCwtr2dVVsiJVwH/s2hYFuQKFpAhUxUacPoOwoYss1sP4yhL329fgrRRVcsnsHlhSgzuAMZSidnMDeWrugmCSsEFgh2HEDwp12nEgNYS5+UaHcEoz04j/3UxjqLueTFfLgFFB77oH2rcjLb0NdeivCDiPsCEL5JNbdSG7oIMXxXrxcvjx/v+wejHbtwh0sovJnBKilj4dSdwp/RwPSXvznTY/UoFlRfKdApPFymDLJ7O3FGZycM07aBta6OmI7r0aeZ96CkOWA8vDlzYR2NOCO51GOhzA09GQIYWrIc0Qd5Xv4Xgk3O0ZhorvclUpoGNEarKoOpG7NuQNamHatbYzXcX1jE0O5/Tw19CSpYv/MmBq7g474VexIbuP+/h6KvouuaWzsqOZ4T4pKCvQ1KVjXmljY0ennoXConFNXOjl3WfqHYG0sOzXN9asWyotT/TNOyzPo4fJ7KqRWdrFlR/Gdctabcou4+Yl5YmRAQEBlCCEwYw1IIzTzuVoOq6odqb04btAEBLzUOXNTLSDg5cKqRKhwOLxkEPmJEyeoqalZ9aQCAl5qlLwMJyYfoHvqQXAGQZVFDc8rMJx5guHME9RHr2Jr8h3YE1+HyX+nKm6wa+Nl7D0ySVdzgvX1BpaTQU30lF0nyWrMuiaEfykahxB+5d2rUBcmDFQIQWe8hsdsHSoQOkBgRWzqwnFCeg1IbUEHB5RFPMfPMpB9hoI7gUCSsNqoDW1GlyF0ufYns7als661iv7h+aHTXc0xNsRKFO79F1Tu7HLT0JBnhLFCBrXvPijlYdt1ZeHmIuJlSrgjlTeJKJwYx1pXjVii25/QDdCXP/FRroMaOIF69DvgOmWtSNMhHAU1HRI+MYj/6HeQr34bxMu/EUJIdDtGtPUyIo07KKUH8Z3CjN1cEmbq6ZOVO2cUFI6NErmsGbGIU0doJnbtRoSv4Q9L0o8eWTCTyi845A8N4E/6xG9aD2sQKyQNDQwNLbL08ax8Fyc7RqZ377w2zU5miNzwEeyadYTrt850nwrrJuvjtVzXUMeeoa8xVpjvWhgrdDNW6KYxvIlbm/8LBa88j0jIZOu6Gg4eX7771c7NdWfD7GfjFyG/D8a+tMh3kILi8zD8V1D3O2BtBbn0seUXXfAU6IKS5+MjUKFmrHpwp3rR7QQi3k7BM+gfy+F6irCt0dCyFYqjeKmTuPkJlFd5d8KAgID5SM0kVLeJbP8zy481w9g1XYhFfu8DAgICAl7ZrEqEuvnmm/na177Ghz70oXnLBgcH+fKXv8wb3/jG851bQMCq8IsuquThT5e7yJCBMCTyAgVJO16eU5M/pXvqp+BnZgSocxnOPAnAtuq3Y438JXrm+3Q0XU3MqiM61Yv72M8oDJxmdj2S3tCAtXEzovMDkP0ncCrpTiPK5S4XiIZQnPponGF/Ei+zTCiwrbOpvomQbixas66UT96d4PmJHzKSP4Svzl4s9maewNJitMaupS12LZa29uV7dckQ8ajJ1Kx9kQK2NIdwHv73OQKUEGCZ2jwzjjr4KKKxC5rWr/n8KkV5PsVTKxAqAW+igJdzkKE1uLuWT6Me/15ZgJqNEMyx8RVz+I9/D/ma/wahs8ep1EzQTEJW+TVUngueh/IUWszCmypBhd3Y3PECyvUXFaGk1LCTHbjDWSYfe2bxUHQh0Iww3kSxXOZ3bduSDqu1Qvk+TnaMqZOPovxFxBPfozByFOU5RJt3IXWLrlgNTWGTp4f/aUEBajaDuecxxv+D3Y2/CpSP663rapBScOj4GN4Cr4muSXZuqmV9W9XCpXheCsb/cXkRXOVh7H9D48dBLuzY9AsO7kQBJ1NCVduMTOQ52TdJyfPRLJ1kVZz1bdehhOCZQ72cOD0yx8VlmTrtLUl2bLgSM3UIEdxBDgg4L4SmYyc7Ub5DbvAQi9WySzNCvONaNGPhDqUBAQEBAQGrOpu+8847ufbaa7nqqqt461vfihCCH/3oR9x///186UtfQinF//gf/2Ot5xoQsCR+ycMbz5M/Mkqpb2rmglUYErM1jr25Fq06NK/k5Xwp+mm60w8DHnhLd1kbzjxJW2w3lr0LWXgG0y9QP3Ga7OM/xnOmLzZF+WLPMjWMfAq1/6eo0Sbkle9AZL4E7jKlrtZG0C5cJ5GQZnBtwzruKuyHuIUquPNK84QukbaObVlc3dBJaInQxLw7wb7hfyLtDCy4vOilOZ66h6I3ycaq2zGnhSil1JxcHQwNqa88Z8Y2dXbvauahp3rJF8vP11gbxchPUBg62wlICIiGzUXLA/2je5DJJoR1kUp+fIUqVh4sfYZKSvfmraMU3nQ4vRACCaiTz0Jp+e5vaAbEk6hcBhGaK5Yq3y931ZsaK2dHOQWQBuGGLsKbmij2FcgfHl+2k15FNWWepHh8Ek0P41Oc65QRAqEZSN1CSB0QlHqn8AvOCyNCeUUyffsWF6BmURw/hRVvxqpqJWpYpIqHGcmfqGg7o/kjFLwxwkb5+8K2dLauq6GrJcGJ3hSDo1lcV2Hokub6KJ0tCSxTW1iA8h3IPQJ+hU48b7zsmoreNM/l5mVLZB7vQTZGmQwbPPHQCdLpueL+YMTg8IlJmhoibOlqZGwiQ2rqbJlQseRy9OQwI+MZbrp6K3r44roUAwJeDkjdIlS7CSNaT2H0OKWpAZRf/t3UrBhWsgO7ugOph1YXZB4QEBAQ8IpgVWfTmzdv5uGHH+Z3fud3+NM//VOUUvzlX/4lADfddBN///d/T2dn51rOMyBgSfySR/H4ONk9/fMuUJXjUzyZonh6kujVLZgd1UhzbYQoz3foT+/BV245o6SCMrie9OPE47sxhQGjQ/DMfYRtjZA194RNClF23Cgdeg6gYjWw4bWI9D8vvYHIqy+oE0qTko2Jem5p2cJP+p/H1yQyrFBe+XUXUoAU2IbBG9t3Um8vLoiVvBxHUz9aVICaTW/6CaqsLprsXaiih9M3RfH0ZFl40QVGfRR7fTXCNlb0/kopqE7Y3HR1O88+P8LASIbmpIk68cTMGEOX2LaOrsnFs7n6j4FbgoskQikBVNh1cTZCqzxzy/M8XNcllUqRSqXwfR/DMKivq8VqXI+eHoNTzy28shXG33A5hdZNDBZzDEwNowpT1IRitEeT2EJipIbw9/wIxs5mGOErvNSjiOp6rMtuQr+2mfQTQ0u6omTIWDLAHMrfC6WedLljntRB+Sh15hiWgJgrjviK4rFx5KVNqxI7V4KTT+EVJpcfOE1h7ARGtA6Ew0j+aaQQMx3wFkOTgohh0pt+nJjRiKGVRRrTKItMOzbWsblz2qUkwNS1pbt6qixkf1bxnAHIPgrhK0BLzDzk5x0yj5xGxC0mIwYPPXoKx5n/XnsZBz8Cx0+nKBZdrrx0HQ8+ehjHnSuqpiZzPHlghOuv7GItDH8BAa90pG5iRuvR7SqU75a7dQlZLrfXzKAELyAgICBgWVZ9S3f79u3ce++9TExMcOzYMXzfZ926ddTV1a3l/AIClkX5Cqd/iuxTfUt3OvMUmZ/1EQ8ZGC3xNQm8dv0C44XjZ2ZS0ToTuUOomjtQ7m785x8H5SGEtsR8NNBqUMefRGx+P2hV5bKXhQhfDeHLz6vzVCWEdINLa1tpjiTYM9rDsclhSlr54i+im2ytauTS2laSVgRjiRNSx88ykjtY0Tal0DH9CKWeFLmnBvDz7pzl7lCW/MFhQltqCW2vR9qVX3FqUpJM2Fy7q4lCyYNiDv14HmnrmEY5FF4uI2rguVAqwkWqQJC6htUWp3h0+UyfmXUiBlq0sqwtx3EYHh6mt7eXUmmu2DrQ10tM+qzbcBXhSDXiwE/nrhxJULjmjRwsZtnz/M8Yy02Wc6ZiSZAaMd1iZ6KBK8MJ5kl4QpSD8MeH8X7yLbQbfp7IpW1knxpadK72+uSy5beq6KEcj7LYVBaclvtG8NIl8Hy4gCKU7zoUJyopuz1LKTOM8hyUDllngGorTKqUx/MXFup0KakyQ+hCMlXqx8cB5jqFdE2ir1TU9FZWDoo3Pse1ppSi1DeFM5LF2tXAnsdPLyhAqemxXraEmbA5enqC9qY4bc1JTpwemTNWCMnQeJFs3iW0gu+EgICApSmX2AfB4wEBAQEBK+e86wqqq6u56qqr1mIuAQGrQhVd8gdHKtOAfEX+0Ah6bQSxRmU13pkMowqFH08VARO8CAwcBVm99AoCwAA3hBroRtTuguyD54yxIHI9VL1ljqvgQmJrBu3RJHV2jFLzJgqeg0Bgawa2pmNqy4gAymcwu//s67cM66K3YAwbTD12AqkWuZj0FPkDIyhPEd7VuOIcMMvUsUwdZXj4tgErPUYu8h1gPRlGS1h4kwvnkp2L1VmFMJffR8dx6O/v5/TpxXOGpsbHOPD0FNsuu5xIPo04sa+8wLQpXP0GHp0a5omeQwuumy7lePTYk4wkm3n9la8j/Mh3IDMtaAjKn9WiB76H98hdmG9+L4UqGy81v/xPq7LRay6QG+3CNWqchVfuMrgSlF92IygdlIchNWqsCCXfJeeW8KaFHl1IwrqBIXWkEGWjpfIq1c8rYIWilZibr6YKLoVj45gtcSYyJVKpxbtw+Wr6P46Paeg8f2qcy7bWzRGhhJRoZhSExrHTEySiJsYal2MHBAQEBARcaFzXxZ91Y0lKia5f+HiAgIALxXkdvQ899BAnTpxgYmJipozhDEIIfvd3f/e8JhcQUAleuog7mqt4vDOYwc+V1ibbRYA+02ZcgLTBXzoXR5dhhNAgPQrYlYlXQgAWTOVR634egV92QwkNzK6yACVjcAGCu5cjpBuEMEiwsswVH4+Cm1pwmUDD1hNIYeCpEr7v0KBvZ+yJZ7G8GHKZjlqFw6NY7Qlk4yrLEnULUduK6nu+8nWi1WCuruX8WiEsjfAlDaQfPr2ssCBjJvbGWkQFrp5cLrekAAWApuOUihw7fIgd2y9H736u7A7r2M4xtzhfgNLKWUugwCmC73F0tIdkOM4Nm65A33vv2f2SEhk28HMOuA7q+DNY7ZeQO0eEErZO9NpWhL280CAsDWFpK8rR0uJWRa/X+SFgNVkqQkMJMLUYjp9HE2VB2JSzvucEaOcoaaYWY/Ea0xVNAMxWKFTmbATAaGX2aYhyfdzhLOYVzXT3L1GOqKb/I8B3PAxLp3cow+5LW4hGbLJ5t5znpekzDrdMzsHzFYEXKiAgICDgpYLjOBSLRQYHB0mlUnieh6ZpVFVV0djYiGVZGMYL/8smhOA73/kOb37zm1f9HO9617tIpVJ897vfXbN5Bbx0WNVV+L59+/jlX/5ljh07Nk98OkMgQgW8UKykJT0ACtyxPHry/N0ShghRF9pKqtgNaCDjy4pQteFLkO4QIMuiVaUIyuto9ZB8FyiHaZvIsm3OX5QoMe/i19JiNIR30BLahCEEShURMoTCQI0rlFdZdzSA/PNj5SD6VXRFFJoGndtRBx4u5zxVsk7nTjBW8H5eAIQmMVoSRK9pJfNkX7m1/QJoCYvYDR3ICkrxHMdhYGCZzC4hwQqBWyI7mSJbLJFoWg99R8l3bOfp08/OX8cKl8UW34PiWcfLgcETXL3jJnQrXA4ph/JHxdJACFTewT95EPP2q8ntP7N90OsjRC5vRquuLBBXGBpWW4LCsfFlxwKgCaz1ScQqcrdWgpAGRrSe0mT/8oOn0ew4QtPRpU59eDsnJ8vNCwSgLSMwNUZ2Ycg1cI7JOERuWpkIFb1ljnCuzuR8GZJipeKgKn+NKASOq7AicQp+cV555ZrobAEBAQEBAS8QpVKJ3t5e+vv7511v5/N5BgcHaW5uprW1FdNc29LYd73rXXzta1+b9/jtt9/OD3/4wzXdVsArk1WJUO9+97sZHh7mi1/8Itdccw2JxAtT/hMQsBBqkQvtpdepXMxYCil1GiO7ODn5AK4qlEUlGQZ/MWeWoDV+LXrhGVT8lrKTaSUk6soCCSHOzXB5MZNzSzNByabUMDUdTepUWR30psthxrWhTWyJ34DIP40/+llKxcPTa0sikevAuInm120j80QGf2z5cjOnL72qY2MGM4TYcDnq8ONzH7dC0NCJMEPg+6jsJGQmEOsuQegXXwyUpobZVU1VfZTi0TGKPZNlB5EU6FU21oYkZmscGTIqykXzfZ/x8WWEGiEQpo0qZMFzGRoaItq4Hq2QZRLom5yb04NhTjuhzmzkrOCQKeU5mR5jZ/P6cse9mR0TZSHKlChRRJgSa0MSaUjMrmq0iImw9Yqz3qSpYW2qpXAqtWTI+Rms9sSqBM2VIqTESrSQGzyI8ioRQAV2ch1SsxBC0hK9gtNTj+BV0CTBlBHqw9uQK/0eWnAaAuztYLSB07P8eGsrmO1zn+KMy8zz0ZYKzBdn/lN2Q03HyaNpEt8v50CdSzRsLP2cAQEBAQEBLxIcx6G3t5e+vr5FxyilZpa3tbWtuSPqda97HV/5ylfmPGZZF9fxH/DyYVVn1AcOHODjH/84v/mbv7nW8wkIWDEysnL1fzXrLIaphdlQfTuHx78HaKDXgjsOfmbe2LbEa4gIo3yxJqqhsQsGT1a2ISuEaN20ZvO+0Hi+T94r0Z+bZP9YPxm3iETQEI5xaU0rMcOm1t6ErVURMerYGt+NP/oZ3HlOCh9VOIQa2Y8IX0F893tIP5rGG188LwYoh04v0yFsKYRpw7ZXQTGPOvlMOUR73eVQtx5nJIefLpaFnfUxtNoEKmy/MJFBFSANDVmloV3aSGhH/fQdNFHO37b0cgfDaXzfK4fjU+5udK6I4/s+nleBK0VIRLQKlZ7AKRRQNXGwI6QK5zgVdQMiVXPzs87Z5kgxh7IWSHgXTAteOtLSiV7VAlKs2p2kJyxi17aSfqxnUdcYlF1W4cub16aEtwKEZhKq30RuYJFOg4AeqkZPtCMjTaDb5EseUvhYRhXbknfw3Nj/Q7FEB0FhsK3mFzHlGibpawmo/QCMfA7cJdxzZhfU/Oa8/DqhS/T6CGKySGNdlNOnU4s+hRTlSChpapQ8RU2VjRCQL7jzxgpgQ3s1hh7kQQUEBAQEvPgpFov091fmiO7v76e+vn7NRSjLsmhsbFx0+cDAAK9//et54IEHaGpq4lOf+hS/9Eu/NLP82Wef5Xd+53d47LHHCIfDvOUtb+Ezn/kM0ejC0SE//OEP+eQnP8lzzz2Hpmns3r2bz33uc6xfv35N9yvgxcGqzqg3bty4Jp3FAgLWAqMxirB11AIXHwsho+aaBhfr0qY5cikARyd+WA4e15OgEuCnwS8ihKQ9cRtdiVsxz7ilhInYeCWqQhFKdFz8cq9KcXyPwdwU/9lzgNHCXDGuJzvB3tEetlY1ckvzJjZWv564HsYf+Ru8RUt5pmtu0ntB+wbRK/4bk/fml849Wq6bXQWIUBQufw10XYLSY+QPDlN6/AB+plAWUcwQWGn0hjShrXUYzfEXxC1TKcLQEAsEMSulUG4Rz8lRnOjGdwogJEasATNaj9RNxHSWUMXf9UKAZiDiSYQVOrOhs8HTUgPLBisy1wU1vR7u2YB6cWZdKJfsNXQhqhvLApbroFAg5YL7thKEoWG0JYjbOvmDIziDmenE6+lNRwyszmrsLbVoayhcL4fUDEI161GeS3748JxlQjOwGi6lJOMc7Jmif7SfgqOQUpCM26xvq6KxdgdXNFRxcOyb5Nz53RKjRgMbq19P0u5CW8tSXiHLOU/1fwiZ+yD7GHiztq83QuQ6iL66LNafu7qtY29Iknt6gNabuthv6xQWEZWkJonHLKyETSpbYlNnNQMjGbzZ75+AxtooGzursS2dbN4prysFlrlUR9KAgICAgICLg+u6DAwMLBp5cy5KKQYHB+ns7HxBw8r/9E//lD//8z/nc5/7HP/0T//E2972Np599lm2bt1KNpvl9ttvZ/fu3Tz55JMMDw/z7ne/mw9+8IN89atfXfD5stksv/d7v8cll1xCJpPhox/9KHfccQf79u1DriYrM+BFzaqO1I997GP8/u//Pr/yK79CS0vLWs8pIGBFCFPD6qyicHi0ovFWVxXSXNs74oYWpiV6OXWhzQxmn2E4fwjXL6AJjaS9npbolVgygqFFZ4LIBUBDJ+x8NerZB5d6emjegNh+HeIiB19Xgq8Uw/k03zy5l5y7cOc7XykOTAyQdx3e2L4ds/Q0+cL+BccCeDgYhoXvuqjUY8jEG9HrI7hDi+eBGXURxBqU3wg7gh9vIfPwKZz+HMgoJGLl91FIEAJ3NE/64dOEL2vC3lSDrKDj3MVC+R5uYYps/zM4mRFmK3nFiW6kESJUvxm7ugOpW0gpCYfD5HIVhP9PC0qx2gb0xgZkOEpNKIKI1aB0feb1mruOBHtW/hPQFIohhntg/WWIti1QzKFOHwanAIaN3Hg5KIXy/Yryn5ZCGhpmcxw9GcbPO7hjOZTrI8MmRm0IYeovQBj5AvPSLcL1mzHjjRRGj1OaKjuL7Oar6BkT7D10GiWNmewj31cMj+cYHs9RHbd51WXNXNP4QcaLxxnJHcRVRXRp0xi+hLjZgiFDSHkBjlMhwWiAxFsg9jpwh0AVQITBqAcRXTTDTgiB2RKneGIChrNs31rPnqfn3gkOhQw6OqpY1xnF0BWe56DpVYRCIY72ZgnbOrmCSyRkcPm2BjxfcaInxdBYlpLjo0lBbXWI9W3VNNZGCL1A7raAgICAgIBK8H2fycklmnMsQCqVmtM9by2466675rmWPvKRj/CRj3wEgLe+9a28+93vBuATn/gE99xzD3/7t3/L5z//ef7lX/6FQqHA17/+dSKRsuP67/7u73jTm97EX/zFX9DQ0DBve295y1vm/Psf//Efqaur4+DBg+zYsWNN9y3g4rOqs69f/MVfpFAosHnzZm699VZaW1vRtLkX9UIIPve5z63JJAMClkIaGqHt9bhjOdyRpS+UjcYo9ubKOoKtFF3a6NKmI34jLdGrOHNxr0sbTS7sohBWCDZfDZEE6sgTMDE4d0A4jujcidh8NSK8yk5vLzB5t8R9fUcWFaBmcyI9ypHUIJfZGUJ6EsfL4qqzeU8CgS5DGNJGWjp+wSu3o8/ch935ZjJLiFDWxiRiDVxJfsklt38QZyg318FzLgpyTw+gV4cwW+Lnvd0LgVIKtzDJ1ImH8d2FA/R9J0+2bx/KLRGq24Su69TV1dHd3V3RNqSU1Dc0oIXCEOog5hRpTzbRnVkiV0pqYNpQKpCwo7SFE1DXBpqO//C3YGjWtjUd1XMIaluRl9yEqm9HGOfvUpK2jrR19OqLm7VW8lxc5SMQmNLAjNaj21Uo38NTgtODOQ6fHqGhPomuCRzXZ3yygDsr525iqsAje/u46ep2GiM7qQ1twlceUmizunleYKRV/qMnV7ZayCB6XTvZPf10dlXj7Gzk2ecGUQoaGmJcfWU9bqafbM9zFLKjaFISCRlk9Rj11R20XtHKwVNZuloTnOid5HhPCinFjCHP8xVDYzmGxnLUVYfYfWkLsRfQ5fZCU/KyOH6OopdBILC0OIYMYWgvnUzBgICAgFcaFcUgnMf4Srj55pv5whe+MOexZPLsb/ru3bvnLNu9ezf79u0D4NChQ+zatWtGgAK47rrr8H2fI0eOLChCHT16lI9+9KP87Gc/Y3R0dEZUO336dCBCvQxZ1RXagw8+yPve9z5yuRzf//73FxwTiFABLyRaxCR2Qye5p/spnp6cn++iS6zOKsK7GtHCF/aCQ5M6mqxcMBJWCLp2Ipo3wOQIanwAPA8RT5YvxM3QiyLwulJSpTw92YmKx+8f72VL+zoiMoouLZTy8ZWHEAKBhhASiURJhbR1/LyLyh1Fq15cSNTrIphNsTUpt1FFj9KpVIWDoXBkFL0m/ILlB60E3y2S6X16UQFqNrmhgxjROsxYA/X19QwNDVEoLL/eubkEYd3kitp2TmfGF6+elBqE46B8Lm3aQKhU3o665+vgzAqh13SIVpfdNuP9+D/9f4jr7oCm9S+pz8i5+Mon5zqMF7PsH+sj55aQQtIWrWJLVSO2pmOZIZyii5CCV13aykS6gOcpLFNj56Y6BkczdPdPkcmVxd9UusjJ3hRb19Wgay9+B+VstIhJ9OoWvKkim1oSNNfHGBjP0tUaYrL7Z+SmhtA1SSRkYhpnnGAZikPPojJ9XLllN93DDid7U2hLlOWOTOR5bF8fN1zR9rJzRDlenlTxND3pxxgrHMVX5bJGTVjUh7fSFttNzGx64UTJgICAgICKOdfcsdbjKyESibBhw4Y1f97FeNOb3kRHRwdf/vKXaW5uxvd9duzYQalUWZfqgJcWqzrr+q3f+i3i8Tjf/OY3ueaaa4jHX5x3/QNeWWhRk8jVrYQvaaRwYgIvXb541atsrM5qhKW9qPJ6ZiOkBqEohKKIxq6LPZ1V4/oeByaWCCRegIHcJBm3majRhnC6QWhoYr6gIIRAhgxQ4PvuoqV2en2E2HXt5bHniVKK4ukUyjnrMpERA63KRmgS5fjl8q3S2TtQpf40qujCi/Ci1iumcXPzM4LKCISmo3y/HFQuDYoT3eihakzTZPPmzRw+fJhicfHOhLW1tXR0dMwRoYQQdMVqeHXTRh4cOLq4EKXpXNKxk8tr29EKOfyHvnlWgNLO5G+Fy4LVjK3FQf3sLsTr3g3RqhW+Gi8OXN9jOJ/mx72H6cul5iw7MjnEw4MnuKK2jWvqusjkHE70THKid5LirGOuKmaxsaOaay5p5rmjowyNlR2CJ/smWd9WRWiVwe0XE2kbSNtAK7qEgJp6k3TPk5hqEitezsYrC9VlNAGaqYEzSbrnKWrrrsDQJe4yHTJHJvIMjmbpbIm/bDKiHC/H6fTjHEv9mHOD8zxVZCC7j6HcAbbVvJmG8A50+dLIGgwICAh4JSClpKqqinx+6QY8s6mqqnrBc5Mef/xx3vGOd8z592WXXQbA1q1b+epXv0o2m51xQz3yyCNIKdm8efO85xobG+PIkSN8+ctf5oYbbgDg4YcffgH2IuBisaqrpGPHjvHnf/7n3HbbbWs9n4CA80JaOlg64UsaUJ4PCIQuzjs3JqAyPKXIuyu9YyEoeA7I5ctDhBDIsIEwavGlQJhaWQDSBEZdBGtDErMptiYCFACewpssCyFGQxRrnY1RJ1DFUwi/AFocjDaKfS7F4+nyWF/h5Ry0xIvrws73HArj54bgi7LbKdGCEa4GRDmQXAhAoLwSyneRQhKNRtm5cyeDg4OMjIzMEaPi8TiNjY1UV5cFq3OxdYPLa9uptsI8NXJ6nlOuIRRjV7KVbdVN2FKieg6DaYFhlucitfL/FxIJijnU6YOw5ZqymPsSQJUK4JWdKSXfY8/oaYbyUwuOLXgOruczNJ7lZ3sHGR7PzWv6mEoXefK5QfqG0lx/RSuu5zOWypMvuHOCul+KnLlx4GbGcdODSzqboCy5/P/Ze+84yaoy//99bqzc1TmnmenJeYYwwJAlqrCiKKCAa1gJuuiKIl8DuirqArqooC5hWBO4gMgPEUSGIHmYyOTY09M9nXN3xRt+f9RMT/d0qu7piZz361UwXfece8+tulV1z+c8z+fpaW8gEGynKC9ITf3Qr2t/duxppzDXj+cYXaQYC45r0xjZMKQANbBdko2tf8ZUQ+R4j5+qqxKJRHKio2kaBQUFNDQ0pGVOLoSgoKBgwk3J4/E4DQ0DbUI0TSMnJ1VY5P/+7/9YvHgxZ5xxBr///e955513ePDBBwG45ppr+M53vsN1113HHXfcQXNzM1/84hf51Kc+NWQqXmZmJtnZ2fzmN7+hsLCQmpoabrvttgk9H8mxxbiu1lmzZo3ZME0iOVLYto1t231f3MISaJomKyscARQh0MYsBAh01Q9ueuKVEAIRXALebMIfzu6rwCaEQHi0wxLN4J2Vhacygdv1JM7ut8HuPTC903Mww2dgLj2f3jUGidruCT/+hODauMkD6XSK7sVfNA+AWOtOempXppq5Dro3E09WBao3TG/jJlTTjzdrEqbho6ysjKKiIhKJBI7joGkauq6j6/qIr71X05keLqA8kEVnMkZLtAfHdck0fWR7/HhVHVVRcKM9OLs3pirhpXtquzciKuemogmPYdxYL3S34W5bhdvdius4JE0vZ0yaxyllc3its4FNHY0D+mSZPqYHCvn/XtuOZmnomkIiObT56N7mXlZuaGT+jFzaOyKU5HlQYk1EenpAKGjeTFQzgKKZCHH8fB86VoJYy8602rqui2U5RFp2UFk0Py0Rqrk9inOci3X7SToRdne9xsilQ1M4rsXurtcIGcUYqn/U9gc6JsHtTR1CkPqPEuwruiGRSCSSQ8M0TYqKiqirqxu1bVFREaY58anVzz33HIWFhQOe2x8VD/Dd736XRx99lBtvvJHCwkL++Mc/MnPmTAB8Ph/PP/88//7v/85JJ52Ez+fjiiuu4J577hnyWIqi8Oijj/KlL32J2bNnM23aNO69917OPvvsCT8vybHBuESou+66i2uuuYYLL7yQk08+eaLHJJGMC8uyiMfjNDU10dLSQjweRwiBz+cjLy+PnJwcdF1/34lR8YRFIunQ0hHFshxMQyU77MXQFXRtgqsEKiqTQzmsaa1Nu0/Q8BHyZELnCMbV/VFC4FuMoulwuG2AVIE5KYSq1+DU/hSsIbyuki04zU9Bzzr8C27BdYKo/sMzMDceATtlzo5QQFURpi/N3uJAZUbNQ6BkEfH23fTWr0OoBkLVsRM94NjY0XZibTsxMkoIlZ9CpGET7S3/IFAyHzNcimma47rhUYTAr5v4dZMiX8bwDaNjFPLG2v4I47oudLfjrHgWGg6IKUnbpjveCztWo+eWcu6pH8an6KxsO/D5mZ5RQPXeTnqiCQzhEDTMYUUogJ5Iguygghmtp3XLTvx6ckD0kObLwpszBSNUhKIdH4bcrmtjRdP3mXNdl3hPG7ll6X0OHcdNQ7I5PuhO1NOTbBi94T5ao9uJ293piVBOHOwO6H0NIm+D3Q6ooJdA4CzwzAY1Q4pREolEcojouk5JSQkAe/fuHTIiSghBUVERJSUlA2wQJoJly5axbNmyYbfvH8+NN944bJs5c+awfPnyEY/Rn/PPP5+NGzcOeRzJice4RKi7776bYDDIkiVLmDlzJmVlZUNWx/vLX/4yIYOUSEbDsixaW1vZvn37gBKlruvS09NDT08Pe/fuZdq0aQQCgfeFEGXbDh3dcTbtaKWuqXuAN4rHUCkrymDGpCz83pEjWMZKiT9MlumjLT5ypcL9zMpMGS+T8SFo/x0jr+BrkHVdatX9CCCEQM9KYG/9+dACVH+iO3FbHiSw6GaEMbEh0W6sF1rrcba/Cw3VYCVAM6CgAqVqMWQVIjwjTyKFoqH5Mkl07cVfMJN4Zy299etAUVE0AyvWDe7A6iqJzjq6at4hVHYKXdVv0LNnFULRMDNKDmPqmwtj/Xwe65/n3k6c1x4fUP3SdV2i9oHov2TzHpyX/sCp532K1mA21d2tKEIwxZ/HC+uqEUDCsRDCg6KIISN3wkGTc0/Kp33XOyS763GTNuKg9Egr0kZ3zTv4CmfjzZ5yHAlR6ZeeVoTAdh0EqQzO0e5hdU0ZMtPzeKQ9dnDK7ci42PQkGwgaBSM3dKIQXQ2tD4F70Hd7fGPqoZdCzk0pUUoKURKJRHJIGIZBaWkpeXl5NDQ00NHRgW3bqKpKOBymoKAA0zQnXICSSI4E45oprVu3DiEEZWVl9PT0DFItJZIjieM4dHR0sG3bthEV81gsxubNm5k9ezY+X7rRI8cntuPQ3B7ltVW1AwyM9xNL2GytbqOxtZczF5UQCkxcGK9H1TktfxJ/rVk/anRBhuFlQXYpuuoB/1IQOnT+ed8K+0Fo+ZB5VWq1Pc2KTpbtYO8rXa+qCtpYDZpdG6IrEEp7WpESbs861KIWhCd3bMchdR3HEzaOmxIoFCEAFwUHo/o93HUvgZU80MFKQO1WnNqtULUYZf5ZCLXfdpSUZ9U+hKJiZpYT76hDNYN07nw11Uo1cKz4IAEq1UmQ7KonGWnDCBURb99NpGETeiAPNQ0Pr3EhVMjIg56O9Ptk5A7tF3UM4CYTuFveGSBAQUpqPVhIsnvasde9zOK5Z1Ld3YpX1dGEQlt3tF8/d9hTXTAtC6ttG90te/B5dUxj+PTUSP0GNE8GZkbxIZ3fkUGgaB6cRO+oLRUh0HUVhAfLdkYVoACKcgOjek0dLzhYY+8z1Ge/P64NsY3Q+mtwk8O3S+6B5v+GvK+BPtjzQyKRSCRjY7/dQUVFxYBFdkVRJtwDSiI5kozr6q2urp7gYUgk48eyLGpqatIK2YzH4+zdu5eKiooT+ss7GrN4Y3XdkAJUfzq747y9rp4zFpXgnSBTXk1RmZaRT7zY4sW9W3CGeV8yDR+XV8wjbOwTM9RASojyLoTYutSqu5NIGZb7TgZzGigBUEZf8YknLGJxm521HXT2pAy0Az4jVSnM1NI3IHa6Eb2voXg1XNvFTY78eqo+DSLLwVMG+9Nb7Ai4sdTkTSgpoU34+84jadkkEjY1Dd3sruukJ5pEEYKS/CDlRSHisTiqp5SspVdjrPwrdLUcOKCiIOacjigpgY5ncK01CLsjdRy9BALngGc6KBkgBIpq4CuYSby9BtdOst+I3E4MFbV2wAg81rqDQNF84u27seNdWJF21IzDI0IJjw9lykKcuq1p91GmLBw1EuyokYzh7t4w9LYhdI9YzSby559LjsdP3LYGiJ9CpESWoeQSv1enJM9Dw4adqOyL4tOGbpvCJdqyHd2XjaIfWyb6B6OoBma4ZITKjgMxdAUzo4y65tjojYGqikzMCY5ePFr4tJwx9/GoI6TGAjjd0PnkyALUfqx66HkRMq5Ie7FAIpFIJCNzIs9ZJO9PxnVFv/rqq8yYMYPc3KFX+1taWti4cSNnnnnmIQ1OIkmHSCRCb+/oK+T7aWlpobS09IT9Qrcdh917u4jG01sRb2qL0NUTnzARClLV0OZlFVMayGRNyx62dDbRayUQCPK8AeZkFTM9nE9QN1H6p20oZurhPxO8iwEHUA8IOmnQG02yelMjexq6B0WabKtuozAvwKKZBQR8aaQhug5YexGKghowcGIWbsLCPajsu9AVFI+G0FWE1QBYYPeCVQfdL0J0FTj7rlG9GPyng/80LDeT6r09rNrYSGtHdEDKZG1jD6s2NrBwRi4FWR7W13Qz+6TLMN5+IhUlJARi0bmIzAjUfBXsTgjlpNL0IBVNFnsPjArIvgH0YhTNQPdlEqlfv+/1VlJpToMiIVL+UfsljERXA0q5B6HquHYSK9qB6s/Fth06OztJJBIoikIoFMIwjFFNykcluwhySqAlDW+x7OJU22OVtoYhPasUBIaiEbMHfk5dO4lbt42SzFzWt+0FAX6PTm8siSoUFEXg9Wj0RpP0WxSlojhEorseOxnDMDU0VeyLphueZHcTjhUfswgVtRJErSQ7u1uIWAk8qk5FMJuAbuI7DOl9QlEwwyVEGjfh2qMXMFBUnWD+JFa82zxq26kVmYSDJ45YkuebRcKK4bpgE6MrsZu22E6GS3P263n49byRd5qog8QY0vx634TgRVKEkkgkEolEMiTjmnWec845/Pa3v+Xqq68ecvuLL77I1VdfjW2PEuItkRwijuPQ2pre6vh+kskkkUjksFSSOBZIJB2q68ZWvXL77nYyQx4MfeJ8fkxNp1DLIKvYz9LCKdiuiyA1Md5fCW1YhJKKjBojkWiSN1bX0dQ2tB+V40JdYw+RaC1nLi4h4EtjwrzPi0YoAsWngUfDtRxSCoAATSAUBRRSoo3QUyY0vS9Cx/8BB30PJuug40843S/iZt5EV1dwkAC178AkEhZvranl5LnF5OaGWV/dzpy5H0B/4/8Qk+cjsiyouwucfREfsQiuXxtY+SxRDS33Qu6toOchhAqKhmL4cR3rIMOcfdFPQjAghmafSCWEihbMRQSKqa7eTUtLC8nkgegIIQQZGRmUlJQQCoUGeQWmi/AGUJZcts9HqXH4huE8lCUfRvSrimdZFpZl0dXVRTKZRFVVgsFgnzh2pHHjwwjkAjyqRk9S4BwkEIhoD0Z2AZbrsCfSRlVxFmt2NOJVdRQEiqaQEVBIWA6JhI3jugS8Gk6sC00ReE1tVAFq3+iwE71o3lEiYfZhOw6t8V7+2bCdHV0tJJ0D17YiBJXBbE7Pn0yBL4Q+wZ5himYSLF1E1+63+z6TQyMIFM9HM7zMqspl1YbGIQV5VRFMrcxi5qTsEyIKynZS10Jrh0N9QzHxZBTD0Kkomk1pVpzG2Ds0RFYP6lccWBbOLVoAANqLSURBVIShjJCevi8leWyDaQWrEbSsMZ7FxOC6LhErQY8VpycZRxGCsOHDo2p4jxMPNIlEIpFITmTGdec1WtpTPB4f9+RDIhkLrusOyJFOl/H0OV5wHZeu3tGjBfrT1ZtIeSdNoAi1H1PVMNXDP8mzbIct1W3DClD9ae+KsX5bCwtn5o8svAkFtJzUhIp9IpMCwlCBYfoFzklN2joeYySTdTfZTO+ee5haejtb93hobosO0SjV/931e7n8vGm0tfcSryxFzyxATJoCrfceEKAg5RPluoPTvJJ10POPVIoMAkXTUVQDV9XBsVM+TKkTZKgELqGmxBvVm4GeM52NGzcSjSUH+TC5rktHRwddXV1UVVWRnZ09/t+CYBbKWZ/A3bEad9d70NPPJyyQiSifjZiyAPwZfceOxWLU1tbS2to6SBzLzMykpKSEQCBwRH+fhGYMexUoQuDTDXqS8QHPu7qJte87amNnPWeXTWfT7la8mtEXYSaEwDRUDC0lOJqGkrpcNQVVnXh/I8d1aIx28/iu1XQnB6e5Oa7Ljq4W6no7uLxiHuWBLLQJFKKEoqEHCwhVnErv3vew40NElxl+/AWzMTIKUVSDknyNvEwfdc097KnvIpG0URWFvGwflcUZeExtQoX3o0UiabO3qYf3tjXT1ZPAcW0iyVZsN8F726EwJ5NFM5biC+Wxs+vv7P9eyvXOoCiwCEUZ4fvZtVJV8caKm14q5EQTsRLs6mphVWste3ra+j57uqIyJZTL4twyCrwhjCPwmySRSCQSiWRo0v4VrqmpGeAFtXnzZl599dVB7To6Ovj1r39NeXn5hAxQIhmJ8RrznaipeO9nEkmb3Xu70m6/p6Gb2VU5o4hQPvCdAl1Pp7dT4QWzCpp+xIgCFC7xpI0db0bpfpEZFRcMLULtw3Fctu9pp6Q0l517Opgz/TQQHRDZPGjPw9L7FgQvQmhhvLlTUyKUnSTR24JQIkMbk+/DzCjBinWjZ01hx44dRKIxxAgTV8dx2L59Oz6fj0Bg7BFtkBJZ8GfAzNMRVYtSKYiJOOgmBMJgeBDagcimaDTKpk2biEQGi5Cu69LW1kZnZyfTpk0jMzPzyFXIzCpKpUhag4VhIQR+zcB1XXr7tgsonERLbxsAeyOddGdFuWDRJFa+18hBcWuIfYbasYSLHgzj9+ppRkGl9qAaw6e6urFISqTcJ2wmYz0U+kJEuxJYw0QjxWyL/2/3e1w/9VTC5sQWgFBUHSNYiDYlGyvSTrxjD66TRCgaRkYxuj8Hoep9ooqmKmhehSmlYUrzg/sW0AS6Po4iBccoyX3feyvW1/cFNSpCxadnE7M6sZwo9S3tvPB2D+efPI2SQBcNkTUU+uczKeNcTHX4SqOu60I8CebFoJ8GTjvCWgnRteCOstAhjnzxj4iV4LWGHaxo3j1oW9Kx2dTRwLbOJi4uncX0cL4UoiQSiUQiOUqk/Qv88MMP893vfhchBEIIfvCDH/CDH/xgUDvXdVFVlV//+tcTOlCJZCiEEOTm5lJbm4Z3zD68Xi8ez7FtxHsoCCHwe3W6xxAN5ffqKMd5dai2zhi90TSMc/eRSNo0tPQypWyE9AzFgMCZ0P0CuMOLRH0EPwDxHWA1jdjMdSGZTE3i452vUVFyCe9sUInFhxeCdtd1MOOMSaxdtR2nshg1+hKDRKdhxQcBRim4cYTViKHsRA21I5QQbuFi4p2tRBq3YkU7huztyZmCHevC8RbQ3taGMEafYNq2TX19PZWVlYck+gpNB00H7/CT5UQikRLHhhCgDh7T1q1bmT9/Pl7vYarudzCGB1EyFbd6/ZCbFSEI6CaGqhFJJiCvjF7Tw57GNsKGl1mZhZQEM/CHPXh0nY07WmjrHBhloigCx3UJ5ZTS0bEFrPQiV/RgHoo2OC3ZjfVCaz3O9nehcTdYCWJCwZ9TzPlVi4mUzeaZxp20xHqG3G+vlWBzRyMn5ZaPnHY7DoSioipe1AwveiA3lZq3z3R/2D5CpF+M4DijN5pk5YaGQVUAFaHi0cK4hEjaERzL4u119Vx0+rlUZpyFrnhTVUmHwHXsVGpvYzXuzrXQ0wx2C4TyUapOgcyLIfpXRGzl0IPSCkAbxWdqgkk6Nmtaa4cUoPpjuQ5/27OBsOmlLHB00gUlEolEInm/k/Zd2ZVXXsns2bNxXZcrr7ySL33pSyxdunRAGyEEfr+f+fPnk58vy/NKjgyGYRAOh+no6EirfV5e3lHxhjlS6LpCeVGI9dtaRm+8jyllx391qMgYBKj9pCVaqdmQ/Rlo/c3Iq/9qZioVr+uptI7tui4u4CTbwGohI2ASix8kogilL0IpFrdQFAXXcRGqAHsIUUz3pPoMHBhkfCRVMr3tfyG+Cdw4ip3AjveClosndCbmlPPo2rOZeMeeAb29udNQNBNbjdPQ2ITQPQM9p0agtbWVsrKywx55GIvF0v78W5ZFY2MjZWVlRyQaSphemH4qbv1OOPj93YciBB5Vw9BNlIXn0xPI4nPTT8ej6XhVvS+trbQgQF62j87uOHWN3diOi9fUKC0M4TFUVM3Fm1lOtDmdyoICb86UQabkbqQb593nYM+mvucc1yUS7yVevR6q1+OdPJ+PLDifJxu20RIb2vNqQ3s9s7OKCBxGc2pFPXG/x9MhaTns2NOB7QwdAZkq+qCgaEFwXRIxQVuHS0VR5rD7dG0L2upx3vwLdLftfxKsNujYi1OzGnInoSy5AtdnIiJvDN6J//RUJdMjSMxOsrK5Jq22luvwTtNucj0B6RElkUiOC+K2NcCHUVfUI2J1IZEcLtK+emfMmMGMGTOAVFTUWWedRUVFxeEal0SSNrquU1FRwYYNGwb4wAxFMBgkPz//yKXiHAU0VaGyOIOt1W0kkqN7X2VleMgMHf+RYeNJr0mrj2KCdwHk/HsqLS++lYERSDp450D4o6mJl5teVcKU+9K+/bhJVOXgyZAARYF9BR40TcHFxTA0sGxQD45GEmD6Blely7gsZfLe8B1QgyA8Kd8nVUc1/diJVpy2JxCR9wiV/jsddpJkdwMIBV/edLw5VfTUrcLMm0082ZYyNk+TZDJ52AtUWJZFfX39mPo0NzdTVFSEYYxhAuokgH3+WWKME9dwHsoZV+C88WeIDh09hGagnvohRF45GfrQwo2iKHhNBa+pkZ/tw3HdQZFG3rxp2PEeEl17RxiQwFc4C90/sMKtG4vgrvz7AAFqP3a/9LvojjV4FZWL55zJ72reGzIJtCMRYcT0UMkhY9kOexoGe2MdjNhfcACoru2kIMePZ7hFh/YmnFceO0gwVVMiu9uYijxr3onzyu9Qzr0WjL2p4gf7MSohcDYoR1YgrOluo+sgrzKPqjMllEtQNxACopbFjq4WupIxdnQ1E7WSUoSSSCTHNFErSVciyurWPezqbiNhWxiqRmUwiwXZpYQML17t+FiQuf766+no6OCpp5462kORHAOMS0K97rrrJnocEsm4EULg8/mYOXMm27ZtGzYlJzMzkylTppywVfH64/PqnDq3iDfW7MWyhxei/F6dU+YW4TGPf3PerAwPikhVwEuXvKw0fUsUL3jngVkJVjNEV6cMwdUQeBen/q+GwEmCMnzaWH80TWA7qWgFoQZJWMOIV4oKjk1hbpCuzgjlpZkojdVQcDLwBH0TfW8wJVr1Ry8FcyrsvXVfOuGBCAiBAqqB5tFx7QROciei4/dklF9HtL0RT2Y5rmMT69iDr3AOwpuDEJ0jpPwdHRzHIRYbmwlyLBYbtcAGkIoAcbohUQuRt8GJguIB30lglKfe6zREOaFquLmlKBd8Grd6A271e9DdmsrL9GcgymYiJs0HXwihpzcpFkKgDvFeqLqXYOkioq2ZxNqqcRIDI5U0Xxbe3CqMYAHKwRPwrmbcmg1pHT+6fRXBqSdRGsikpr9p/IERMtghXzKRuI6bKhAwBqJxa9jigm4sgvPeK4Mj9gSAmUqxs1pSQntnPe7mFTDtNMR+EcozE7I+C1r2WE/lkLAdh9rejr6/A5rJSbnFVAaDtMd30hWvxcUh25fDguyZ1EdjrGyupy0eIcszvCeaRCKRHE16k3HebNzFiubdA6voWnHa4r2sbqnlpNxyluRX4h9m8epQefPNNznjjDO46KKL+Otf/5pWn+rqaiorK1m9ejXz588/LOOSHP+MO44vFovxxBNPsGrVKjo7OwdVGxNC8OCDDx7yACWSdFBVlUAgwJw5c+jq6qKxsZF4PN4nUBUWFuLxeMYW+XAco6kKhbkBzjqplA3bW2hs7R3gGaKpgqK8IHOm5hLy64OjZ45DPB6NgtwAe5uGiTQ5iJxMLwH/GK4HoYAaTj3Mqn1eNAeJPoqeSkXpfp6RokAUIfAYGvGEje6vIm4HaOtsGOqgqWMoMLU8i+a9zcyryoJXX4fcD4J/JkQ2gTewLwrqoPH4ToKeV8DpTI37oO19ERKaiaoaYG1GMWwCRQvAtXEB3Z+dSsezbbw+H+1ppr1BKkrxWK2UOqoI5cQgvhk6/jQw0gOgZ3lK4At/DDyzUiLlKAhVg0AmzDgVMXl+6vpxSQmHujnAZP1QUXQv3rxpeLInYUXasBO9CASaLxPVCCA0Y9C14iaiuNuG8fgBNEUZKGi7Lu62lcydtnhIESprgk3JJUMg9hn4pyOo7u8iBMN+N8V6oGHHcB0BD+hF4ETA6cHdvQ4x60bwnwP+JSnfOTVjzKdxqLi4fRO0LNPHxaWTaYuu5rW6N+i1Bl6bhvIc5aEFXFp2LrZ7bH43SSQSSdRK8mbjLt5urh62jYPbt/30gsmHJSLqwQcf5Itf/CIPPvgge/fupaioaMKPIXl/Mi4Ravfu3ZxzzjlUV1cTDofp7OwkKyuLjo4ObNsmJydn3BWRJJLxoigKhmGQk5NDRkZG3yRzvBX0jnc0TSE/20c4WEwklqS+uZek5eA1NQrzApi6immcODfhHkNjxqRsGlt7se2RJ2WKgBmTsvEcyvkP54uk5YA5PeW9NNIYFIGpq7gZ57Ct1sYZNoRLUFmaic9vUlqei96xG/xh3JY2RMm/Qtu9QHywACX0lEDS/vtU+pgSBIYec/90HXpeRmRenYr46YeqquTn51NfX59eFBGQk5Nz2EUoRVHweDx0daVfGdHj8YyckuvEIbYeWn4J7jAm38k90PxzyPk38C5KpW2mgVC1lGh4mFEUDRQNNaM4vQ62jds8dIEHRQh8mkHMHhitl2ispmDOmUP2mZNVhO997tl0uFGEIBwyae1IPxIwHDTRtKGvfbd2KzgjpHALAaip7xLFBxbQFYPCT4J6hIz+h0BTVMK6F6+qc1HJZGq7l7O9YwivKiDhRNjW8TqdiUbOLPr0ER6pRCKRpEdnIjpqoYX9rGjezZzsogkXoXp6enjsscd49913aWhoYNmyZdx+++0AtLe3c/PNN/P3v/+dnp4eSkpKuP322/n0pz9NZWUlAAsWLADgrLPO4uWXX+7b71133cXdd99NIpHgE5/4BD/72c/6vHorKir47Gc/y9atW3nyySfJzs7m5z//OUuWLOGzn/0sL774IpMmTeKhhx5i8eLFQMp/9Oabb+bVV1+lvb2dyZMnc/vtt3PVVVdN6OshmVjGZYxz66230tnZyVtvvcXWrVtxXZfHHnuMnp4efvzjH+P1enn++ecneqwSSdrouo5hGBiG8b4UoPazvypUVoaXWVNymD89j2mVWYT8xgklQO0nO+zh1LlFw06yICX+LJ5VSEGO//BEgClByLwalJEjAhQh8GWdiuJbzN6mHrwebchMt/KiEKfMLURTFfLzw2il01DO/gSich74ZyLyv4zQhqjytD8t0G5PpdGIND8H1t5hhRfTNMnMHN7UuD+qqlJQUHDYP3+aplFQUDCmPqOKY043tD4wvAClhHAD55HIupWEKCORdEgkEmmLc8cs9vCpXbqioisDXzPXSqINIcaGdA9TM/JOaO+9YwFDV6ksCafdXgBV5Zno2uBr33XdYY3zh9yRUEGouInEURWg9jM9s4A5WYX0JrcPK0D1pz2+i+qul0g6Y0vllUgkksNN3LZY07JnYAreCDi4rG6pJW6n60maHn/605+YPn0606ZN45Of/CQPPfRQ333Ot771LTZu3Mjf/vY3Nm3axP33309OTg4A77zzDgD/+Mc/qK+v58knn+zb50svvcSOHTt46aWXeOSRR1i2bBnLli0bcNyf/vSnnH766axevZpLL72UT33qU1x77bV88pOfZNWqVUyePJlrr722byyxWIxFixbx17/+lfXr1/P5z3+eT33qU33jkBybjGt2sHz5cm688UZOPvlk2tpS1VNc18U0TW699VY2bdrELbfcknbuqEQikUwEuqZSkh8kFDDYtrudPQ3dxBMpY2xDVyjODzK1PIuMoDHkRGxCEAroZZD3H9D20OBUrtRIwX8aSvhKNCfIaQs8bK1up765l0gsCa5LYW6AqopMCrL9GLqKrimoqgL6QVE05iwo+E+IroLeN8BuA9RUNJYSTFXFYyznajDcT4Ou60yaNIlEIkFPz/Bpj4qiMGXKFLxeL66VBGtfVUFVT9vzaCx4vV4yMjLo7Owcta2maeTn5w8vQrk2RN4FZ6jIKoHj/wBJ77m0tXXQtGsPsehGUMN4/Pnk5+eTmZmJruvHpwBjeGCYancKgrDhpT0ewdpnKqSYXhLOwJtev2ZwWcVc/Npx7L3nRFKP+DZwekDxgzEFVH/q38cIiiIozQ+yZVcb3b0jVO7cR3F+EL936JVyIQSuMfYCFeIw+ZCMFY+qMzcrhxUNT6fV3qfpNEbWMzl8Lrpy/BfmkEgkJw5Jx2ZXT9uY+lR3t5J07AmtmPfggw/yyU9+EoCLLrqIzs5OXnnlFc4++2xqampYsGBBXzRS/2JlubmpoifZ2dmDFgkzMzP5xS9+gaqqTJ8+nUsvvZQXX3yRz33uc31tLrnkEv7t3/4NgG9/+9vcf//9nHTSSXzsYx8D4Otf/zpLliyhsbGRgoICiouL+epXv9rX/4tf/CLPP/88f/rTnzj55JMn7PWQTCzjulIjkUjfxRYKhRBCDLj5X7JkyYCLQSKRSI4UmqaQleFl4UyDOVW5JJIpb6P9Qo6hH4EIMEVPVYnK+xokalK+THZnKnrAKAf/WfvMzIOYQHFekJywF9txcR0XhECIlKimjxDV1XcsJRsC54Lv5JQ/jICU8GSBmg12x+hj1nKxvGeTMJfS1mLTG2lDUQRZGR78Xh3TUFORdR4PM2bMoLa2lpaWlgEVKYUQZGRkUFZWRsjUoLsVd/tq3K4WcF2EPwOmLAR/GOEdYTK/3xDc7gE3BsKTqjyoDm0EbhgGU6ZMYePGjUSj0WF3q6oqVVVVIxcncHog8ubQm4KX0e0uYuuaFcRi/UQ4YZOwDLq6uvB4PEybNo1AIHB8CVGagSiagtvVOvR2ARoKmaaP3mScmG2hl05n077XwVBUpoRyWZI/iRyPf1DVvuMC1warETqfgegKcPoJcsILvoUQ+hBoRaAcGxG2HlPj9AXFvLaqlp7I8JFsedk+Fs8uwGMOP25RNAX3vVfS95gyPJA5tijEw4VX04laUToTQ6eUHtzWVHQsJ0JzZBNlodOOwAglEokkfRJjjGo6eEHoUNmyZQvvvPMOf/7zn4HUAt7HP/5xHnzwQc4++2xuuOEGrrjiClatWsUFF1zA5Zdfzmmnjf5dOmvWrAGLgIWFhbz33nsD2sydO7fv3/n5+QDMmTNn0HNNTU0UFBRg2zY//OEP+dOf/kRdXR2JRIJ4PI7PJ70pj2XGdRdVVlZGbW3qh17TNIqLi3nrrbf4yEc+AsDGjRvxeOTKkkQiOXqkBBwV3zAr/4cdoabMwL1hMCaTMlAR+wSVwdFA5nAl08d0vINSAJ1YSpjq/vvIfY3JRAOfYdueKLv2NtATOyAgCCA3y8e0yiwKclJRWR6Ph4qKCkpLS+ns7CSRSKAoCqFQCNM00RIR3BV/w63dPMBjxgXcHashvxLlpIshmIU4WKyw2iH6DvS8ColdB57XyyGwFHynwhDph16vl1mzZlFTU0NbWxtWv2qD+8Wx0tJSgsHgyKl4rpsSDA/GM59e5SQ2vfcOycRBKTyu3ffPWCzGxo0bmT179nHljSh0AyYvwN26YnhfIAGaUAgZHgKKBlNPIuxYfLh8LiX+DDyqcdyUih6E60CyFpp/ClbTENuj0Ps6xDZC7i0pkTndFNfDiKIIMkMezj2ljG27O9i9t5NI7MC1Hw6aVJZkUFGcgc8zynvjz4C8cmisTuvYomRGSog6RkjYnYRNL93JOHE7OUhL2+9t5tOMvsqSvclmHNdBGc7jTyKRSI4ChqqBNYwlwFDtJ3hh5MEHH8SyrAFG5Puznn7xi19w8cUXs3v3bp599lleeOEFzjvvPG666SbuuuuuEfe73/tpP0KIQcXN+rfZb5sx1HP7+/3Xf/0X//3f/83PfvYz5syZg9/v55ZbbiGRGD1CWHL0GNcVe+655/KXv/yF73znOwBcf/313HnnnbS3t+M4Dr/97W+59tprJ3SgEolEctyiHqUUHsWTipDqeWV4fyOtiEjgM7y9rom9Td37/KMObHaBprYILe0RFswsYFJJBoauomkamqaRl5c3YHdupAvn9T9Dc83w42rchfPKYyhnfwJC/cq5W23Q9Qwka8A9KKojuRvad0Pvm5BzE+gDIzCEEHi9XiZPnkx5eTkdHR0kEglUVSUjI6PPIy49Bk9Ik54zqa3ZPViASh19YNtkkj179jBlypRBN1zHNL4QYvZZuOteGrGZEAJt/rkIX4hZx5AIcUg4XdDyq6EFqP7Y7dByH+R/a0gx9GigKIKg32TutFymT8qiJ5LEth0MXcXn0TENJb2oPNOHMnspTuveAym0w+ELIWacijim3n8FTShkGB4c1yRmJ7EcB0HK08xUdYRIpZbuRwiVw+AMKJFIJONGV1Qqg1m0xYdOjx+KimD2IN/G8WJZFv/7v//L3XffzQUXXDBg2+WXX84f//hHvvCFL5Cbm8t1113Hddddx9KlS7n11lu56667+u61bNseavcTzuuvv85ll13WlzroOA5bt25l5syZR+T4kvExLhHqtttuY8WKFcTjcUzT5Pbbb2fv3r08/vjjqKrK1VdfzT333DPRY5VIJBLJWNHyIOvT0PogMDhdJ+H7IOt3dLO3sT3lHzVEuhuA48LqjQ1kBAwKc4eO8HHtJO7WlSMLUPvpbk2l/iy+GGF6icVjJGIWPbHTgdPweT14/K14Eq9CdCW4+ybFiR3Q+hvI/fchy8HvF8fGalbeh9BSpeathgPP6cUkRRFtLa8O02ewuLU/Gut4EqGE4YGpi0BRcde/OrQQoZuIOWchJs09xgSIQyS+NSV0poPVCNE1EDh7+CqZRwFNVdBUZfSIp2EQQuBmF6OccQXOm38Z3qg8mIVy2uUQOjZEuP0E9FwEKgo2ihCDfMmGEpvCZungyqISiURyFDFVjfnZpaxuqU3LnFxBsCCnZML8oJ555hna29v5zGc+Q0bGwPusK664ggcffJC9e/eyaNEiZs2aRTwe55lnnmHGjBkA5OXl4fV6ee655ygpKcHj8Qzaz0RSVVXF448/zhtvvEFmZib33HMPjY2NUoQ6xhl3Ol5ZWVnf3x6PhwceeIAHHnhgwgYmkUgkkglA8YDvpJShctczqcn2/psaNYeEOpXdtTtTkUVi5Mmr48K23e1kZXiGTh+Mx3B3vzf4+WFwm2qwHGhp7mHrzgbq927tC69WhCA/L4epFZeSGz4Ns/N/DpiFxzdDfEfKo2eMuI6LG7dwbTeVdqYqCFVB8ew7HzUAgfMgsuJAJ6OCzs52HGeYVb0hvKocx6GzsxOv9+hXDhsLwvRB1SJE2Qzc3Rtw67dDMpESn4qrEGUzwPAhjGPDkHpCsLug++Wx9en9J/gWDSmEHs8I3cDNr0C56LO4NRtxq9dDb0dKbAtlIyrnIYqngCcwOJX2KGOoAbK9VbRENwNDi0798WpZhM3Kwz8wiUQiGSMZhpeTcst5u7l61LYn5ZYT0ifuXuPBBx/k/PPPH1I4uuKKK/jJT37Chz70Ib7xjW9QXV2N1+tl6dKlPProo0BqMfDee+/le9/7Ht/+9rdZunQpL7/88oSN72C++c1vsnPnTi688EJ8Ph+f//znufzyy9MqViM5egh3AmpKd3Z2EggERvbZeJ/R1dXVV60pFAod7eFIJJITBNdNiShO1MLuioProgRMVL+O8Gh9ufKDOzops2+rCWLrwYnheuaxeW8OqzY2pR3RoSqCS86cRCgwWIRw9+7Aeen36Z2IqmGdcjk7k5ms2dqGk2xOmYIfhADmzJzM1OIYZscvUt48AN6FkP35lMF7mtiRJMnaTmLb27Ba9kV5KAKjKIhnajZajj8lRtmd0PLzlP8PQOAc9nQtonrnEAKbMEErGDKCrLKykpKSklHHZdkOiaRNJGph2Q66puDzaBi6mqqIeJRwbQv6px8aXsSJ+DtvdUDj9wZGv42GkgFFd6Z8305QXNuGxEFG/x7fMR051BzZwuqmR3AZPQ1kauYllIVOQx1FfJdIJEeeE2EeFYvF2LVrF5WVlePySu5NxnmzcRcrmncPGRGlIDgpt5wl+ZX4j5FKpRJJutf9uOP23n33Xb75zW/y6quvkkgk+Pvf/865555LS0sLn/nMZ/jyl7/M2WefPd7dSyQSieQgnIRFsrGH2OYWkg099L8n0XL9eKZmY5SEUIaqgCWUVNSGmgFmFQC27dDR0zCmlCLbcYnErKFFqOhgEWlYymfTaAdZtaYGvL5hPatcYN3GHfg806kMnY3S87fUhkQ1MIyB9lDj7orT/druA+LTfhyXRG0XidouzEmZ+BcVoXgzIOtz0PKLVPqfE0fThhBfhLHPQ2toYUbTRv6JdV2X3miSHXs6qK7rHFDdLBQwqCzOoLIkjP8omesLVQPv8WOuPm7GZQp0yOt3xzxCVY+79z/sKWN69ofZ3Pr0iEJUWfA0igOLpAAlkUiOWfy6yekFk5mTXcTqllqqu1tJOBaGolERzGZBTgkh3Xv8FgSRvK8Zlwj1xhtvcO6551JcXMwnP/nJAWl4OTk5dHZ28utf/1qKUBKJRDJBOHGL2PZWIqvqh5z/Ws299DT34p2Zi3d2/oH0siOI0LSBQxMCcssQpdMRoRxQNbASuC11JAqq2Ly6AZf0NICtO+spOvk0vLwAWOCmX47YiSaHFqAOIr6zHaGr+OYXoJj5qSpova9BfAvhcCaKquHYFqCn0vaU4LAV0vYbog+H67p09iR4fVUtHd2DBbiungRrtzRT29jD6QuKCfrTNVWXjB0BWs7YIqG0XMapXkkOI7ripdA/H5+WRU3XG7REt/YTowRhs5yS4CnkeqdhHK2CERKJRJImXk3Hq+mcUzSVZD9LgFSxhaNfoVUiGS/junpvv/12ZsyYwVtvvUV3d/cgL6hzzjmHRx55ZEIGKJFIJO93XNcl2dA9rADVn+jGZpSAgacqGzFKKpeqCEKBsYkbiiLwDSdwZRakhCbbglAOyrxzwHVwt63Eqf8bWEkwvYhJc9F1narKHDq2dZF0SUUTHVwRrx9tHZ109pbg9cyE2Lq0vXhc1yVR3z2qALWf2LZWPNNyUtFkWjYELwX/WWg2ZOXNpqW5eV/kk5oS2YYhKytrxEioWNzizTV1QwpQ/WntiPL2unrOWFiMZ6gIN8mho4TAf2YqTTVdAmeAcnxFCb1f0BUPOd6phIxiEnYvEasFFxePmoFHy8BQ/Md0SqFEIpEcjKlqUnSSnFCM62pesWIFd955J6Zp0tMzOP2iuLiYhoYxrChKJBKJZFjcmEV0c0vaGUCxLS2YZWGEb+SJlhCC8sIQG7a1kLTSS20rzPFj6MP4Apk+KKqCrhaUxRfhrnsFd/M7DBh4N7hdrcQ3rSJnztksnT+L1za0kHD84MSG3u8+WjtiFORmp/7wnQxi9EgGN2aRqOnEmJ6DnWOApoDloDbHsWo6caIHRVQ5LvEdrajzChGaAooGShhdg9Iyja7uGInEyOXrDcOgtLR02Mp4ruvS2BahrXPk891PY2svHd0xCkwpehwWhADPzJS3VzrRUGomeBcNm4YpOTYwVD+G6idg5B3toUgkEolEIunHuJaCdF3vq2A0FHV1dQQC8mZZIpFIJgInbqOGTDzTcjAnZaKMEr1kd8ax2tKL/DF0lbLC9Ew/hYCqiqxhI3KE6UWZsQRl4QW4a17C3fw2QypnQuDaSaJvPU+gaQsLpmSlqveNMql3HJdUBJIX/KeDMroPQkJxsedmsSk3yl87t/HnxvU827mNzXkxxHml6IsKEPrAn8JkUy9OcrCfjM/nY8aMGSNWvPN6vcycOXPENvGEzY6ajlHH3p9tuzuIJ9JPQZSMETUEOV8Y3WhcCUD2DSljcolEIpFIJBLJmBlXJNSpp57K448/zi233DJoW29vLw8//DBnnXXWoY5NIpFI3te4rosbs3CiSYQQuJaN4tMJnlaK1REjvrN92DQzqzWKUTL6RNnQVeZOzaUnkqCxdXjhSgDzpuWRm+ndNzYHbBsUBaH0E4+yCnDrtuNue3ekE0tVUxUO8VXLKfjwVPxeD71uNiSbGS7kK+DXwYlA1rVpVSWLWkk2dO7lpU3riSQHRi9tb23kFd3knPJpTD29mOTrdbjJ1OKKa7tDuv0oikIgEGDOnDl0dnbS2NhILBbrez4nJ4dAIIBhGMNXKUydPh3d6UVB7aejO4btnPhm2EcNoYFeCbm3QudTEFsLbv9rRgXvHMj4FzDKQRpaSyQSiUQikYyLcYlQ3/3udznrrLO49NJLueqqqwBYu3YtO3fu5K677qK5uZlvfetbEzpQiUQieT/hJG2sxh4i65tI7unE7jkwIRamijk5C9/8AmLbWkns7hzU33XTFyx8Xp3T5hezeVcb1Xs7icYGRtxkhz1Mq8imOD+Absdxe3twd2+EaDeoKhRMgpxiMLwp4/FdayEjB2IRSMRgv5mmooDuAY8PVVFRFRsnHsOt2UR54VQ27kyAngdW+0ECAHg9HvKzgyBOBu9sUEYudxy3Lda11fGPPZuwraG9piLJOH/dvg578hymLyog+dbe1DBNbVjPaUVRME2T3NxcwuEwCgKRdHGSNsIBkQDXtREjGsO7uOkX9gNSUWBCGmEfXhQdzErI/iw43RBdm/q/EgDPnH3VJY/PUuESiUQikUgkxwrjEqFOOeUUnn32WW644QauvfZaAP7jP/4DgMmTJ/Pss88yd+7ciRulRCKRvI9wkjaJmk563toDtgvKQPHBjdvENjaTbOgh4/zJuEmH5N7uAW3U0MgizcH4vDpzpuYyvTKLprYI3ZEEqiLIDnsJ+U1MDURPK86a5VC/44CwBLhb34VQNmLGEkRRFXQ0pgzKfcFUiff9iosQgAKKQHHBNFSiMQt7z1byF01no1AAX0qocuPg9Kb6CkFFxSR0MwTqgrTS8LqTMV7euxUECEPFjQ+fyvbiro1MmnsmWoaJ3RnHrAgjRjMBd0FNuMR3tBHf1Y7dtc9gXBHohQG8U3PQcv3DVin0ejTiQ6T8DYfPo8tibEcKNZh66EVHeyQSiUQikUgkJxxjFqFc16W7u5vTTjuNLVu2sGbNGrZt24bjOEyePJlFixaNmIYgkUgkB5O0bBJJh/bOGImkjaYpZGV4MHR1eBPsEwzLdkgmHRDgWg6W7aDn+kk29iBUBaEpuAeZh9ttUXre2oP/5BKS9d19WWyKV0cvGHv5cV1T0DWFiuKBaXyu60JnM84rj0JPx9Cdu1px334G5p2LmHMW7tv/HzjOAeHpYERKhLJsBzcZR1P3/W4IQcr3yQciJaTl5/iZPrlwWKPvg0k6Nu+11mHtE7CER4URRKikY7O+fS+LyjNxt7WhFwVHTqdzXOy2KF3/rMbpPsik3HFJ1nWTrOvGMzUb37wCFO/AcRu6SmlhiI7u5rTOB6C8KIT5PvksSCQSiUQiOYCbjKcqDO9H0xG6efQGJJEcImMWoRKJBFlZWfzwhz/ka1/7GvPnz2f+/PmHYWgSieREx3VdeiJJNu9qo6a+k1j8QGSIoSuUFISYMSmbkF9HUU7MktqJpE00brFzTwd7m3qIJyxEwiYn5GXqjBz8M3NJrtqLm7Cwh6hgl6jpxL+oCD0vQLIxVa3UnJSJMpGCRawXZ8Xfhheg+uGuWY5y+uW4+ZWpiKkRUBSB36uT9HmJD5E9aBgaZYUh5lTlpiKB0iRuW2ztOiDwCEVB8eo40aHT8gC2tDawoLIIf2YJwhzFID2SHFqAOojY1laEoeKdnY9iHNinqipUFmeweWdrWlUJvaZGcX4QRZELPBKJRCKRvF9w41Ho7cTdvgq3YRdYcdBMREElTFkI/gyEOXwhlGON66+/no6ODp566qkht99xxx089dRTrFmz5oiO61hg2bJl3HLLLXR0dBztoRwRxjyrM02TgoICTFOqrxKJZPy4rktnT4KXV9SwtbptgAAFkEg67NzTwUtv76atM76vMtrxges42MkYdjK67xHDHaKiaDxhsb2mg7+9upONO1rp6I4TiVp0tUbZubOV55ZvZ9XOVrRTStEKgijDiCOxba3oxUEA9KIg3hm5iIkUoXo6oGl3em1dB3fHGkTJtLSaK4rArJhGVm6YxbMKmFIWZkpZmIUz87l46SQWzMjH5x27CXSs/4qhIlA8GopPHzbCKWYnUYMmelEQRRv+tXNth/jOtlEFqL79bmnFHaKqncfUOGlO4ajCkqYKTp5biGmM7f1MOjbdiRg7upp5r7WOLR0NdMQjA18XiUQikUgkxyRurBd3/T9xnnsgVeyluxWiPdDdirvt3dTz6/+JG+ud8GNff/31CCEQQmAYBlOmTOF73/selnV4q/R+9atf5cUXXzysxxgry5Yt4+yzzx53//2voxACv99PVVUV119/PStXrhzQ7uMf/zhbt249xNEeP4zLE+r666/nf//3f7nhhhswjJFLhUskEslQxOI2b62to6tn5Ml8JGbxxpo6zj+1fFxixJHEdRwcK0q8s454227sRA+4oJh+PJllmBmlCN2DoqgkkjY7aztZvanxoJ2QKp+2j1272nAcl8WLi7E7Y6AmcWMWbj9Rzu6KY07KwjsjB++sfBTfxL1ObjKOu2N1+h0UBbehGmXu2bimD+LDV9wDQDdRKmahmgZTKzKxnVRlOkURh5TarR4cObdPiMJQcRM2TtIB10UoAmGoGAEvaMqoEWRu3Ca+sz3tcbhJm0R1B54ZuQj1wJh0TaE4L8AZC4pZt7WZju74oL5ZGR7mTcsjL8uLpqa/ZtSZiLKquYYNHQ10JqJ9z5uKRlVGLqfkVZLj8aMpMr1PIpFIJJJjDTcexd3wOu7mt0Zo5BzYPnvphEdEXXTRRTz88MPE43GeffZZbrrpJnRd5xvf+MaY92Xbdlr3dIFAgEAgMJ7hHtM8/PDDXHTRRcRiMbZu3cpvfvMbTjnlFB566KE+f22v14vXe/xEtR0q48pvmTNnDvF4nFmzZvGDH/yA3//+9zz55JODHhKJRDIcrZ1RWjvSK1Pf3ZugrrlnTBXfjjSOY5OMtNCxbTm9dWuwou24dhLXSWJHO+jdu472bS9i9TTjOjaJpM17W9PzBNq9u532WAKjNAPFo6FmmKgBA8WrpSJ8vDp6vh/v/MIJFaAAsG3caPfo7frjOik/KNM3alMxaynsu3ESQqCpCqqqHJoAJRSKfRmDNwgBqoLwaKgBAzVoovgNhKlREshET0OUcS37gAl5miSbegf5eUHKG6o4P8C5p5RzzsllTCkLU1GcQVV5JucvKefsk8ooyPGjjRCZdTDt8QhP7lrDG027BghQAHHHYn17PX/c8S61vR3YQ0TnSSQSiUQiOcr0duJueSetpu6WdyAyuEryobI/+6m8vJwbbriB888/n6effhqAe+65hzlz5uD3+yktLeXGG2+kp6enr++yZcsIh8M8/fTTzJw5E9M0qampGXSMFStWkJuby49//GMglY7X3+bn+uuv5/LLL+euu+6isLCQ7OxsbrrpJpLJA1Hd9913H1VVVXg8HvLz8/noRz/aty0ej/OlL32JvLw8PB4PZ5xxBitWrOjb/vLLLyOE4MUXX2Tx4sX4fL4+3+vhePnllzn55JPx+/2Ew2FOP/10du8eOVsgHA5TUFBARUUFF1xwAY8//jjXXHMNN998M+3t7QNes/2sXbuWc845h2AwSCgUYtGiRbz77rt921977TWWLl2K1+ultLSUL33pS/T2HoiK++1vf8vixYsJBoMUFBRw9dVX09TU1Le9vb2da665htzcXLxeL1VVVTz88MN92/fs2cOVV15JOBwmKyuLyy67jOrq6hHPcyykLUKde+65feFxV111FRs3bmTHjh1861vf4lOf+hQf/ehHBzw+9rGPTdggJRLJiUU8YbGj5kA0idejMa0izFmnZPOBM3I57/RcTp2fRXF+oC9dadeeDmKJ9KuJHWnsWCdd1W/iJKPDtnGtGF273yIZaae9Kza0H5BgUDU8gG3V7YjycEpIURSEmUovU/w6WrYXxdQm1geq/3jEGNcrFAU8PkTB5BHaqIi55yCmzEfoY6vkNxpeTWdhbtnwDYRIvcb7H8DCnFI82ugCnjuetFBt+NdPURS8Ho2ivACLZhVw8uwCFs3MJz/bj9ejjckHqjcZ5/najewd5WY0YiX4S/U6upPpicASiUQikUiODG4yjrt91YHKwqN2cHC3rUqZlx9GvF4viUQqe0FRFO699142bNjAI488wvLly/na1742oH0kEuHHP/4xDzzwABs2bCAvL2/A9uXLl/OBD3yAH/zgB3z9618f9rgvvfQSO3bs4KWXXuKRRx5h2bJlLFu2DIB3332XL33pS3zve99jy5YtPPfcc5x55pl9fb/2ta/xxBNP8Mgjj7Bq1SqmTJnChRdeSFtb24Bj/L//9/+4++67effdd9E0jX/9138dciyWZXH55Zdz1llnsW7dOt58800+//nPj2vh9Mtf/jLd3d288MILQ26/5pprKCkpYcWKFaxcuZLbbrutr0DPjh07uOiii7jiiitYt24djz32GK+99ho333xzX/9kMsl//ud/snbtWp566imqq6u5/vrr+7Z/61vfYuPGjfztb39j06ZN3H///eTk5PT1vfDCCwkGg/zzn//k9ddfJxAIcNFFF/VdA4dK2ul4L7/8Mp/97GeB1MUgkUgk48VxXLp6EygCZlaFKSrQaIpsZGPHaqJWN4pQyfQUUTnpVKZPzmX9lp5UutIxGgjlWAmiTZtxrdFvAFw7QW/jRjwZc4duIATC0HBjA717Ghq6EHMLU4JGn3glQICnKntiPaD6oxmIcD5u3Rjy1H0hMLyIOUsR5TNwt72L21wLdhIMD6KoCjF5PvhCCGNiBaj95JoBpmbksbWzadS2M8L5ZHnSqyYodBVUAfYoF6MAPT+AVhFCyffRG49AQqDrOqqqDlnpT1MVOIS3sSMRZUdXS1pte6w4G9rrOSWvQqblSSQSiURyrGAlUybkY8Bt3IWwknAYKua5rsuLL77I888/zxe/+EUAbrnllr7tFRUVfP/73+cLX/gC9913X9/zyWSS++67j3nz5g3a55///GeuvfZaHnjgAT7+8Y+PePzMzEx+8YtfoKoq06dP59JLL+XFF1/kc5/7HDU1Nfj9fj74wQ8SDAYpLy9nwYIFAPT29nL//fezbNkyLr74YgD+53/+hxdeeIEHH3yQW2+9te8YP/jBDzjrrLMAuO2227j00kuJxWJ4PB6uv/76PvGmq6uLzs5OPvjBDzJ5cmqhdcaMGWN8RVNMnz4dYNjoopqaGm699da+dlVVVX3b7rzzTq655pq+96Gqqop7772Xs846i/vvvx+PxzNASJs0aRL33nsvJ510Ej09PQQCAWpqaliwYAGLFy8GUu/jfh577DEcx+GBBx7oE9gefvhhwuEwL7/8MhdccMG4zrk/4/KE2v8mSSQSyaGwcFY2RqCef+55nJg1MOWrO95ETeca8gNTmTvzCjZvVzlWVSjHjhPvqk+7faK7EV+2TWbIQ3vXwGgUIUAxVey4NcAbKpl0cAGhKQNSu4zi0MSn4PUfj6rBpLm4m98EOz1DSlE+OyU2aTp4yiCci7D7RbFpBkI/vH6CPt3gwpKZ2K4zojBTFcrlA8Uz8GnpjUeoCkZRiMSeEaKNVIF3USHJDJWavXtpb+jEFqn3UlEUsrKyKCwsJBAIoGnj+hkeRNy2WN2yZ0x91rfvZV52CQEpQkkkEolEcuyQxqLmAJITE53Sn2eeeYZAIEAymcRxHK6++mruuOMOAP7xj39w5513snnzZrq6urAsi1gsRiQSwedLWTEYhsHcuYMXXN9++22eeeYZHn/8cS6//PJRxzFr1ixU9cB9SmFhIe+99x4AH/jABygvL2fSpElcdNFFXHTRRfzLv/wLPp+PHTt2kEwmOf300/v66rrOySefzKZNmwYco/84CwsLAWhqaqKsbGBUfVZWFtdffz0XXnghH/jABzj//PO58sor+/qMhf0WI8NFUX3lK1/hs5/9LL/97W85//zz+djHPtYnfK1du5Z169bx+9//fsD+HMdh165dzJgxg5UrV3LHHXewdu1a2tvbcfZZMNTU1DBz5kxuuOEGrrjiClatWsUFF1zA5Zdfzmmnnda3/+3btxMMBgeMKRaLsWPHyJWv0+XErHkukUiOaYQQVJVnYAabeKf+94MEqP409mxlTdMfmTXVe0g+QeniWg52JEmivpt4dTuJ2k7sngTOCKmAVm8LOGNIFXQdEt2NhEPDrFipCkrASClS+9B1BbFvfPvRsn34TypG8Rxmw3bThyifk37byfNTAtQ+hOFFeAMHHodZgNpPyPDwobI5fKRiHpXBbJR9r6ciBJOCOVxROZ9Ly2YTHEM0luLR8EzNHr6BAO/iIrqMBGvfXU1DfQNWv5B6x3FoaWlh/fr1NDY2DvA1OBSSjk1rfGwVclpjEZxj2GdNIpFIJJL3JdoYI5oOw33VOeecw5o1a9i2bRvRaJRHHnkEv99PdXU1H/zgB5k7dy5PPPEEK1eu5Je//CXAgFQtr3fo+/bJkyczffp0HnroobTugQ6OHBdC9AkqwWCQVatW8cc//pHCwkK+/e1vM2/ePDo6OsZ0rv2PsX/MzjC+mQ8//DBvvvkmp512Go899hhTp07lrbdGMJAfhv1CWGVl5ZDb77jjDjZs2MCll17K8uXLmTlzJn/+858B6Onp4d/+7d9Ys2ZN32Pt2rVs27aNyZMn09vby4UXXkgoFOL3v/89K1as6Ou7/z26+OKL2b17N1/+8pfZu3cv5513Hl/96lf79r9o0aIB+1+zZg1bt27l6quvHvO5DsWYlmCffPJJtm/fnlZbIQTf+ta3xjUoiURyYmMaKsUFOq/teQ7bGX31piVSTWtiHRm+M0dteyjYvQliW1pINvWi+HSEpoDtYkea0EImnhm5qEFzQJUzACfNCKH9CCFQhT1sxTMhAF1BDZo4sSRuwqGgIITbnQDLQfHpmBXh1Hj8h1/QEaYX5p2NG++Bum3DNzR9KKf9CwTCh31M6eLXTWZkFlIWyMZ2HWzXQRUKmlDwjfOmTcvx4Z2eQ3Tz4AgrozxMzO+wdfUmHMdFDRoMpZ26rsvOnTvRdZ2cnByUg6v5jYOx6kluqhTjIR9XIpFIJBLJBKHpiIJK3O7WtLuI/EpIw9dyLPj9fqZMmTLo+ZUrV+I4DnfffXffvcuf/vSntPebk5PDk08+ydlnn82VV17Jn/70pyEtCtJF0zTOP/98zj//fL7zne8QDodZvnw5F154IYZh8Prrr1NeXg6kUgRXrFgxIJ1wPCxYsIAFCxbwjW98gyVLlvCHP/yBU089dUz7+NnPfkYoFOL8888fts3UqVOZOnUqX/7yl7nqqqt4+OGH+Zd/+RcWLlzIxo0bh3x/AN577z1aW1v50Y9+RGlpKcAAU/P95Obmct1113HdddexdOlSbr31Vu666y4WLlzIY489Rl5eHqFQaEznlS5jFqHSrXonRSiJRDIcQghibjNd8bq02isCGiNrKA8vRuPwfBnaXXF632vAyDbwzM/AbayGeARMAyaV4yQ0ohub8UzJRsvxIvqJBsoYV6wEoJveEav9CSFAF2iaSUGOj0Uz8vG64Png1JQhuaocPh+oocbjC6Kc8iHc3Rtwd66F9oYDGw0PomQ6YtrJEMpOpfAdY/gncJVQMTW8c/MRhkp0cwtuvyg5tSLErj27cAQpAUpTGFKF2kddXR3hcBjDOLTxqUIhZHioi6TfJ6R7UMZqOi+RSCQSieSwIXQTpixM35xcKIiqhal+R4ApU6aQTCb5+c9/zoc+9CFef/11fvWrX41pH3l5eSxfvpxzzjmHq666ikcffXRc9gTPPPMMO3fu5MwzzyQzM5Nnn30Wx3GYNm0afr+fG264gVtvvZWsrCzKysr4yU9+QiQS4TOf+cyYjwWwa9cufvOb3/DhD3+YoqIitmzZwrZt27j22mtH7NfR0UFDQwPxeJytW7fy61//mqeeeor//d//HVARbz/RaJRbb72Vj370o1RWVlJbW8uKFSu44oorAPj617/Oqaeeys0338xnP/tZ/H4/Gzdu5IUXXuAXv/gFZWVlGIbBz3/+c77whS+wfv16/vM//3PAMb797W+zaNEiZs2aRTwe55lnnunzt7rmmmv4r//6Ly677DK+973vUVJSwu7du3nyySf52te+RklJybhev/6M6d3+1a9+1XfyEolEMl5sJ0ljZB1+n05Pb4KRCo4JAX6fTq/dSNzqxlQnXoRyokniNe34Kw2c9a9hvbwREv28mlQVpawK7+wzSLZ1o/j1ARFIuj8boRq4dno5+ULRMIP55MQsttd0DN1GwJTSMJPygpgJG7GllajtIDQFszyMCJmgKoiDqqe5iVjKu8l19hlMqQjTN+bXZMgxeQMwdTGifBb0dkKsF1QNglkpIeowmYwfiygeHc/MPMwp2SRqOkg29SJ8Oo5fpSvWk4qYE4woQEEq5DkSiRyyCOXVdOZnl7Cpo2H0xvuYkVmAoRx7gqFEIpFIJO9r/BmIaSfjbh49zUtMOxl8GUdgUCnmzZvHPffcw49//GO+8Y1vcOaZZ3LnnXeOKsQcTEFBAcuXL+fss8/mmmuu4Q9/+MOYxxIOh3nyySe54447iMViVFVV8cc//pFZs2YB8KMf/QjHcfjUpz5Fd3c3ixcv5vnnnyczM3PMxwLw+Xxs3ryZRx55hNbWVgoLC7npppv4t3/7txH7ffrTnwbA4/FQXFzMGWecwTvvvMPChQuHbK+qKq2trVx77bU0NjaSk5PDRz7yEb773e8CKQ+rV155hf/3//4fS5cuxXVdJk+e3Gfynpuby7Jly7j99tu59957WbhwIXfddRcf/vCH+45hGAbf+MY3qK6uxuv1snTpUh599NG+83z11Vf5+te/zkc+8hG6u7spLi7mvPPOm7DIKOGOtBTfD0VR+N3vfjdheYAnOl1dXWRkZNDZ2XnYwtgkkuOVpBNjY+uT1PeuxbIdYjGLpOUMSgzSNQWvqaFpKT+kkwr+jSzPpAkfj9Uehd5WnBcfxe0cIfzZ9KCe8zHcUAlaXqAvGsqxE/TuXUusNb1qJma4lEDJQpKOyvY9Hby3pRm7nxKnCFg8PZ8cF6LrGtC6E31+RvvRcnz45heg5/kRmoobj0BnS6oSXcOulIim6ZBXhlK1GLIKEWlWgJOMDddxcJMp0a+5rYWt28ZQSRAoLy8fZH45HnqScf5v5yr2RkYwTd+Hrqh8euqp5HqDo7Y9kXBcl5idxHFdBOBRddQJSIWUSCQSycRxIsyjYrEYu3btorKyEo9n7It0bqwXd8PruFveGToiSiiIaScjZp0u7+8kxwzpXvdyCVQikRxxFFQ0YabS0lQF1afjuJBM2qnJoRAYmoKiCIQQ7JdfVDHx/kdOwkLYMew3nh5ZgAKIx7BfeRLtss/jJrwIT2ryqqgG3tzpJLubsRM9I+5C0X348meiaCYmUFWWSUlekB21Hext7CGRtJk9OYsCByJv7kF33CGNHa2WCN0vVxM8pwI9rOC+9yrutoPyvRM21G7Fqd0KxVNRTr4E4Ts+b+YOB7bjIIQYJPCNFaEoCDN1Lbjj8Fiy7TGY2o+ATzO4uHQW/7dzFV3J2LDtNKFwcelMMgzvhBz3eCBp28TsJNXdrWzqaCBmW2iKQkUwm5nhAjyajkc9zAb/EolEIpGkifD4YfZSxKS5uNtW4TbuSlXB0w1EfiWiaiH4MlK+nRLJcYYUoSQSyRFHVXTy/LOo7XkHSFUrUwRopoYLDCUJ+PU8PIchFQ8X3M5G3IY0y9tHe3F2rkedf8aAp1XTT6jydLpr3sGKtg/ZVfVkECw7GdU8EH1i6CqGrjJ3ai4zKrMQQqAlbDr+uhXVZcR0LtdyIB7DfW/VYAHqYOq24qwQKKd88H29YhaxEkSSCTZ3NtCTjKMJlcmhHHK9QbwTEBVjmmP3ZPB6J+YGUhGCXE+Aj09exKv129nR1TygMh9AsT/MafmVlAeyMY5B767DQdy22NnVwj/qNg8S53Z1t/JGw05OyatgUW4ZPu3IVG6USCQSiWQ0hOkF0wsLzkNY/SrJafoR84CSSA4Had+Bfuc732Hu3LmHcywSieR9REgvJqDn05NsHPD8cJJLoX8+mjIx3kYDsOOwffWYurjb1yLmngQcmLAKoaB6QmRMWkoy0kasbRd2PBUVpRo+PNmT0HxZKJpnyMgmTVXQVAXXdohtb01FMY2CmuVF0ZPY699GMcTwL95+arfA1JOgcOJTGo91bMehLd7Ly/Xb2NHVgt1PnHm7uZo8b5DT8iqZHMrFcwgVZvx+Px6Ph1hs+Eik/miaNqQp5XhRFYU8b5BLymYRtRJs7WyiOxnHVDQmh3IImz58mv6+MSRP2jY7u1r4y+612MO4D8Qdi1cbtmO5NqfmTcI7wRWGJBKJRCI5FIRughSdJCcQYxKhJBKJZKLQFR9TwhewtvkPuIwsuASNQooCC1EPg4mycB3crrYx9XG722GICa0QAqF7MDOK0P3ZuPuEDiGUtCvouQmb2K6OtNp6ygOwfTVuLBWePZoJNoCz7V2UrML3Vfi247q0xHr5v12r6ExEh2zTFO3m6d3vcUHJDGZnFWGOM0pIVVXy8vKoqalJq31OTs6YK8K4tg2J6AGPCKGAbiL6iSc+zcCnGSzxBHBc95BTDo9XonaSv9duGlaA6s8bjbuoysijRBufYalEIpFIJBKJZHTeH7H4EonkmENRVLK9U5id8zE2tT6F5Q4dOZJhljEn52N41PBhGohAmOrYupjqqFFH6YpOQ+FGk6M3ArSQirN+F+5I5QUPpqkGnInxINpf12KoyK5jiYiV4LnaDcMKUPtxcHmhbhOFvgyK/OOrNKOqKgUFBXR1ddHR0TFi20AgQGlpadoilOvYEOnGrdmIu+s96GoB3JQnRNlMmDwPvCGEPjCl7P0qQDmuw46uZnqseNp9VrXsIccMHFI03LGG7SSw3BjOPtFSESqa8B4WUV8ikUgkEolkNI6pePw777yTk046iWAwSF5eHpdffjlbtmwZsq3rulx88cUIIXjqqacGbKupqeHSSy/F5/ORl5fHrbfeimVZA9q8/PLLLFy4ENM0mTJlCsuWLRt0jF/+8pdUVFTg8Xg45ZRTeOeddybqVCUSCaApHvJ8s1hS9CWmhC8goBdgKH5MNUSOdxrz8z7Fgrxr8et5h0/oUFSUcDZCTXP/ApTs3FT0yeEi3XPVFLDSE6z6sK0ho7jSxbIdIrEku/d2sXpTE6s2NrJ9Tzu90SRJa2LErYmmLd5LbW9HWm1t12V1Sw1xe4yvaz9M02Tq1Knk5+ejqio+n4+CggKKi4spLCwkIyODnJwcZsyYkXbFHNe2oLkW54VluKv/AR2NKTHRcaCnHXfj6zh/ewC3bituMn3R5UQmaiXZ1NEwpj47uloG+Wgdr1hOgp5EI9s6/s5be3/Jq7U/4tXaH/FO/a/Y1fUykWQrtmONviOJRCKRSCSSCeSYWgZ75ZVXuOmmmzjppJOwLIvbb7+dCy64gI0bN+L3DzTS/dnPfjbkpNS2bS699FIKCgp44403qK+v59prr0XXdX74wx8CsGvXLi699FK+8IUv8Pvf/54XX3yRz372sxQWFnLhhRcC8Nhjj/GVr3yFX/3qV5xyyin87Gc/48ILL2TLli3k5eUd/hdDInmfoCkGmpJNRegsSoIns9+ZXKBgqIffQFuYXtwpi1B2bsDujjNacTPVbyAmzQFj7OV20xsQqGEPTmR0EcS1HDC96QtokPIUGKegF4tb7NjTwfaadnoOGp/HVKkoymDG5Gx8nmMniiRuJVnTWjumPls6mzizqArzEKqlmabJpEmTKCovpScZZ1tHI71WHI+hUVVQRobhwRyLv0NXK85rT0BshOqLVgL3racRSz+GWzQZ8T7xfRoOl5QQNRaiVgLnEETaYwXLidMU2cjG1iex3cSAbRGrhR0dL7Cn+03m5HyCTE8Fqjh2PrMSiUQikUhObI4pEeq5554b8PeyZcvIy8tj5cqVnHnmmX3Pr1mzhrvvvpt3332XwsLCAX3+/ve/s3HjRv7xj3+Qn5/P/Pnz+c///E++/vWvc8cdd2AYBr/61a+orKzk7rvvBmDGjBm89tpr/PSnP+0Toe655x4+97nP8elPfxqAX/3qV/z1r3/loYce4rbbbjucL4NE8r5EVTRUgqM3PAyIzDxEQSmq2IMTSeImB0dCCE1B8WqIQBBRMRsxkmeQa4PdDVYDWC37PHtKQc2AUSr8KR4dT1U2yb3do4472WJhlE1F9DaAkp6wJAqnwDj8jmJxizWbm9ixp2OY7Tabd7XR1ZPglHmFx4wQZbkOXYn0TML3E7WTJG0bDuEUbMehNRnh1frt7OwcWKXujeZqygJZnF4wiWJfeNQqdW4ihrvprZEFqL4DWzgbXkPJKgLv+7cK4n60MVY7VIUyqr//sY7rOrTHdrKh9XEcd/hIp4Tdw7rmP7Ao/zNkmCVHcIQSiUQikUjezxzSMmk8HufNN9/kL3/5Cy0tLRM1pj46OzsByMrK6nsuEolw9dVX88tf/pKCgoJBfd58803mzJlDfn5+33MXXnghXV1dbNiwoa/N+eefP6DfhRdeyJtvvglAIpFg5cqVA9ooisL555/f10YikZxAePwop34IkZmDGjBQM0wUr4ZiaigeDbUoH23OApTZS1DO+yT4RhDL7E7o/js0/Qgavwet90HLL6D+dmi5H6JrwImMOBw9z4+WPbpxeLymC2XSHIQ3zagsIRBVCxFjjOJyHIc99d3DClD92dvcw+adbSStYyelaTyeSIfio+S4Do3Rbh7bsZKtnU1YuKnos30PF9jd08bjO1ezq7uV5GgeXYkobt3QqelD0rwHetrHPf4TBVPVKPWPzWS82B8+7j20Ek4vOztfHlGA2k/SiVDd9SpJe2S/NIlEIpEcPZKWTTRmEY1bRGPWMWt/IJGky7hFqHvvvZfCwkLOOOMMPvKRj7Bu3ToAWlpayMnJ4aGHHjqkgTmOwy233MLpp5/O7Nmz+57/8pe/zGmnncZll102ZL+GhoYBAhTQ93dDQ8OIbbq6uohGo7S0tGDb9pBt9u/jYOLxOF1dXQMeEonk+EAIAaEclLOvQkxZgPD5UHw6SsUknLOvIHbWNewqOJXNGfPZ3mXQFbGJJYaY4Nkd0Pa/0P5bSB5cHc2G2Fpougd63wRn+Emf8GgETi9HDY8sFglNRfgDiAXnj9iur/20UyGYNXrDg4gnHbbvGShqaJpCeVGIWZMzmVsVZmpFJqFAyhC7uq6TZPLYuEEyVI1cT2BMfcKGd8wRNP2JWAmeqXmP7lG8mRKOzTM16+kZzcOpvQnGGM3l7t02pvYnIrqiMjerGHUMaYnzs0vwacboDY9holYbHfHdabdvjmwiOYowLpFIJJIjTzxh09YZY/WmJl54s5q/vbqTF96sZvWmJto6Y8QTR/deayhv5rFy9tlnc8stt0zIeCTHD+NKx3v44Ye55ZZb+MQnPsEFF1zAv/7rv/Zty8nJ4dxzz+XRRx8d8PxYuemmm1i/fj2vvfZa33NPP/00y5cvZ/Xq1ePe7+Hizjvv5Lvf/e7RHoZEIhknQlEglA2LLkDMORMn0kWvHmb99lZqtzeRsNxUG0BRBIW5fmZNziEzw4OmKuDEoOs5iIwWLWmlhCq9ADyzhh6LEKgZJqFzK4ltayW+qwOn54CvixIwMCdl4pmSjfDpUJES6t21y2EoQUPVENNPRUw/BWGOHmF1MN29Cdo6UyKIoStMrwhRXqCiJLYiEptxXRuh5TCj7BTau/1sqo7R0NLLpNLwmI810eiKyrzsEt5tqUnb62dWZhGmMv5cvLreTprTSZ0DYnaS9W17WZJfiaYMXaXRHUN1tz6ScVzXed/7Qvl1kwX73v/RKPaHqQhmH/PVHkejJbqNUc3t+mG7CboSdfj07MM3KIlEIpGMiVjcYsP2FrZUtw2sJxNP3Zdtr2lnWkUWs6bk4DEPj8NOQ0MDP/jBD/jrX/9KXV0deXl5zJ8/n1tuuYXzzjvvsBxT8v5gXFfs3XffzWWXXcYf/vAHWltbB21ftGgR995777gHdfPNN/PMM8/w6quvUlJywKdg+fLl7Nixg3A4PKD9FVdcwdKlS3n55ZcpKCgYVMWusbERoC99r6CgoO+5/m1CoRBerxdVVVFVdcg2Q6UAAnzjG9/gK1/5St/fXV1dlJaWju3EJRLJUUcYHlzdpNvx8OrKWrp7E4BA9PNcchyXusYemtsinL6ghPxsH6rbCz0vp3mUJHT9HfQyUIdO7RNCoAZMfHMK8EzLxemJ4yZshKGiBMzU/7V9AoPphUlzEcVTcHdvxK3bmhKjVB1RUImYNA88/jGn4e2nJ5ISwLwejdPnZeB33iFZ/yzJxEGRocoThEOLWTL7Slq6jx1z54BuMj0jn41pVErzawZzs4rQ1aEFodGIJBOsHaMR+saOehbmlA4rQgnTNwZJYR+ewPtegALwajqnF0wm6disbasbtl2xL8yHy+YQGItZ/DGK7Y5dtDzYvFwikUgkR494wmbD9hY272obto3r0rd9dlUupjG++5bhqK6u5vTTTyccDvNf//VfzJkzh2QyyfPPP89NN93E5s2bJ/R448W2bYQQKIcQwS458ozr3dq+fTsXX3zxsNuzsrKGFKdGw3Vdbr75Zv785z+zfPlyKisrB2y/7bbbWLduHWvWrOl7APz0pz/l4YcfBmDJkiW89957NDU19fV74YUXCIVCzJw5s6/Niy++OGDfL7zwAkuWLAHAMAwWLVo0oI3jOLz44ot9bQ7GNE1CodCAh0QiOT6JJWzeWle/T4AankTS4c01dUTjFsQ2gzOGNNzYWnBGj5YRmoLq09HzAhglGeh5AVSffkCA2t9ONxGBTMT0U1GWfgzl3E+inPVxxOyliFD2uAUo2CeIKYLT5oTwJ/9OvPEhnIMFKAAnRqLjNezGuyjKOnbSe3yawXnF0ygPjJyK6NMMLiufS+gQXisHl87k2FLnOhOxkaO0wvngG8NviqIiSqeNaQwnMgHd5NziaXxi8iKmZuSh7RPnBFDiD3Np6Ww+Omk+WZ4Tw8jdHKX4wVDoythSViUSiURy+OiNJthSPbwA1Z8t1W1EomOrBJsON954I0II3nnnHa644gqmTp3KrFmz+MpXvsJbb73V166lpYV/+Zd/wefzUVVVxdNPPz1gP6+88gonn3wypmlSWFjIbbfdhmUN71kYj8f56le/SnFxMX6/n1NOOYWXX365b/uyZcsIh8M8/fTTzJw5E9M0qampYcWKFXzgAx8gJyeHjIwMzjrrLFatWjXhr4tkYhiXCBUOh0c0It+4ceOwEUMjcdNNN/G73/2OP/zhDwSDQRoaGmhoaCAaTXmnFBQUMHv27AEPgLKysj7B6oILLmDmzJl86lOfYu3atTz//PN885vf5KabbsI0UyucX/jCF9i5cydf+9rX2Lx5M/fddx9/+tOf+PKXv9w3lq985Sv8z//8D4888gibNm3ihhtuoLe3t69ankQiOXFp74zR2pGeUW8sYVNd14nNGH1k3ESqct4EI1QV4Q0ceGiHXqUuI2BQUhAkoFUTb/nzqO3tWA1K56OpCoHHCCHDy2Xlczm7sIpsc6DY4FE15mYVcfXkxZQGMoeNSEoPd8zV1UZtb3gQ5bNHa3WAwslwlAQVx3XpTcbpSkTpiEfoTsSIWkc/ysanGUwO5XJp2WxumHkmN8w8k5tnncVHKxcwN7uYgD5+4fFYI9c7HVWk/7n3qGFCRuHoDSUSiURy2ElaNtt3d5CmgwCuC9tq2ifUrLytrY3nnnuOm266Cb9/8P1E/6yk7373u1x55ZWsW7eOSy65hGuuuYa2tpSAVldXxyWXXMJJJ53E2rVruf/++3nwwQf5/ve/P+yxb775Zt58800effRR1q1bx8c+9jEuuugitm074HUZiUT48Y9/zAMPPMCGDRvIy8uju7ub6667jtdee4233nqLqqoqLrnkErq7j517UckBxpWOd8kll/Cb3/yGG2+8cdC2DRs28D//8z/j8oO6//77gZRBWX8efvhhrr/++rT2oaoqzzzzDDfccANLlizB7/dz3XXX8b3vfa+vTWVlJX/961/58pe/zH//939TUlLCAw88wIUXXtjX5uMf/zjNzc18+9vfpqGhgfnz5/Pcc88NMiuXSCQnFvGENciEezR213UyuagcL4KxeLHAsVNBbiR8Hp2ZFQZO5wukc36qIlASa1OVAodJNzwaBA0Pp+RVMDe7mPZ4hIiVQBMqOR4/Hk3Hox66YKcKlSzTT2M0/ZueLNM/YkU2oekw7STcxl3QVj/yzrxBlHnnIExf2sefKHqScXZ0NbO2tY663g4cXHRFZVIwh4U5pRT4Qkfd9PtoH/9IoCt+crwzaIysS6t9gX8eujJ2rziJRCKRTDyW5dLQ2jumPo0tvViWg65NTEre9u3bcV2X6dOnj9r2+uuv56qrrgLghz/8Iffeey/vvPMOF110Effddx+lpaX84he/QAjB9OnT2bt3L1//+tf59re/PSiFrqamhocffpiamhqKiooA+OpXv8pzzz3Hww8/zA9/+EMAkskk9913H/Pmzevre+655w7Y129+8xvC4TCvvPIKH/zgBw/p9ZBMPOMSob7//e9zyimnMHv2bD70oQ8hhOCRRx7hoYce4oknnqCwsJBvf/vbY96vm67kO0qf8vJynn322RH7nX322aManN98883cfPPNYx6TRCI5fnEcl57esYU1d0eSuMIDwgNuuqXOVVDHXqnuaGAaKpqbpLMuvUmtaWgoJKH3NdA+CsrhMcwcD5qiElRUgocp8sWr6SzMKWVTGv5T+5mTVTS6AOYLoZxxBc67z4OqYuVNwtG94FjoXc2I2o2gmSinfghCOYd4FmOnPR7hL7vXUdfbMeD5pGOzpbORLZ2NzM8u4ezCKvwngO/SsYyh+pgSPp+uRC1Ra+R0jpBRQlloCapy4otzEolEclwgwLLGtkiZtB2YwKIaY5mTz507t+/ffr+fUCjUZ4uzadMmlixZMqDgx+mnn05PTw+1tbWUlZUN2Nd7772HbdtMnTp1wPPxeJzs7APFMwzDGHBcSHk3f/Ob3+Tll1+mqakJ27aJRCLU1IxemERy5BnXzKCoqIiVK1dy++2389hjj+G6Lr/97W8JBoNcddVV/OhHPyIn58jfBEskEslRQxhjE6E8M0DNOLxjmiCEEKh04zMFkVHsjjyGhmmoCMS+dMME4/ypGRO245BIOHRHEkSiSVRFkBE0MfeN50iS6wlQ6s9kT+/oEXUh3cO0cD7qKIaaQggcf5jEqVfQ1hFhV3UT8UgcRVXJy6mi/JwlGIaKYhh9VRyPFD3JOE8PIUAdzJrWWgxF5YyCKXgnIE1UMjw+PYcFedeyofVJOuND3YALcrxTmZF1GV4t84iPTyKRSCTD4IKmKTCGGhO6qpB2/l4aVFVVIYRIy3xc1wf+ngshcJzxRfr39PSgqiorV65EPahATCBwwLvQ6/UOqmR73XXX0drayn//939TXl6OaZosWbKEROLoWwJIBjPumUFeXh4PPPAADzzwAM3NzTiOQ25urnSml0gkxzWKIgj4ddq70jeXDvqNVCUy71zofSWNHgKC54Ny7KSqjYYQCqahoiqCWMIiedAqnaamthu6eiC1TKik4Xh0yERjFrvqOtlV20FH94G7NlURFOUFmF6ZTVaGJ3VTdwTw6yaXls3iiV1raI4Nbz4f0Ewur5hHQBs9MsiyHVrao6zc0EBHdxzXdcBNpX/WdXWzoTbK1IpMpldm4zGP3O+w67pUd7dSO4oAtZ9VLXtYmFMqRajDjCJUAno+C/KupSfRSF3PCqJWOwIFn5FDSeBkvFoWpioNySUSieRYQtMEBTn+UYvj9Cc/xz+h9zhZWVlceOGF/PKXv+RLX/rSIF+ojo6OQdXqh2LGjBk88cQTuK7bJxq9/vrrBINBSkpKBrVfsGABtm3T1NTE0qVLxzTm119/nfvuu49LLrkEgD179ozoYS05ukzI8nRubu5E7EYikUiOOqahMaU0kz316Xv6lBeFMAwNwleA1QDxLSN3CH0IzJkTGjrtuA5RK9lXZU0Igalq6Idkst0PNQtFDaCLHjTNwHFcbCd1LEVJVc8TglQE1H6MChCHN/UqEkvyznv11DUOFntsx2VPQzf1zb2cOq+IorwA+hESojJNP1dOWsg7zbvZ1N5Aj3VAHDMVjanhPE7JqyDb9I8aBeU4KQHq1Xf39Il/QigD9L2k5bBheytJy2Hu1FxMY/ifd9d2UtZeqhi0kjhWIlaCNa21abe3XId1bXWcUTBl4q5NyZAIoWCqQUxvkJBRjOOmqhGpio6mnDhG7BKJRHIioWsqU8rCbK9pTyu4SQioKsucMD+o/fzyl7/k9NNP5+STT+Z73/sec+fOxbIsXnjhBe6//342bdo06j5uvPFGfvazn/HFL36Rm2++mS1btvCd73yHr3zlK0MGrkydOpVrrrmGa6+9lrvvvpsFCxbQ3NzMiy++yNy5c7n00kuHPVZVVRW//e1vWbx4MV1dXdx66614vdLv8FhlXCJUf5PvoRBC4PF4KCkp4cwzz6S4uHhcg5NIJJKjQWaGh+ywN60KeR5DpaI4IyUkKDmQczN0/gUib4NzkJClFUHwAvAvgQmKQHBch55kgm1dTaxrraMl1oPjugR0kxnhAuZmFxPSPRjqIa45CB94FyJ6/4kQoKiCEe93lAD4TgJx+ESfRMLmva3NQwpQ/bFsh7fW7eX8U8vJDh+ZGxJFCMKmj7MLqzg1r5KGaCdRK4mhaBT6QnhUHU+a0UDxhMPKDQ2Dos+GYmt1O8V5AYryBkbZuUkbJ2GTrO/Gaongui5qwMAsz0SYKoo5vuvDcd1R0/AOpqannbhtSRHqCKKr8kZcIpFIjhf8XoNpFVls3jWyrx/AtIosfN6Jjy6eNGkSq1at4gc/+AH/8R//QX19Pbm5uSxatKivmNhoFBcX8+yzz3Lrrbcyb948srKy+MxnPsM3v/nNYfs8/PDDfP/73+c//uM/qKurIycnh1NPPXVUc/EHH3yQz3/+8yxcuJDS0lJ++MMf8tWvfnVM5yw5cgh3HG7giqL0rZ4e3P3g51VV5XOf+xy/+MUv3lepel1dXWRkZNDZ2UkoFDraw5FI3le4yTgkYrhNNRDtBtVA5JWANwimb9ToD9d16eyO8+rK2hHDoQ1d4fQFJeRn+1DVft9vTiT1iK6FZEMqLc2cCsYkUPygTMzNguM4NMa6eap6LW3xyJBtdEXlopIZTAvnYx5q9bf4Dmj8YXq+V6FLIeNfQDl8Vdq6exM8+8+daRt4Ti4Ns3BmPoZ+fIkfdU3dvPzOnrTbl+QHOHVeUV80lBNLEtvSSmxrC07UGthYUzBLQ/jmF6IEjDFHRnUlovx8QzopqAco9Ia4cvIiAtKgXCKRSCRDcCLMo2KxGLt27aKyshKPZ+zRp7G4xYbtLWypbhsyIkqIlAA1a0oOnnEuJEkkE0261/24rtja2louvfRSFixYwBe/+EWmTJkCwLZt2/j5z3/OunXreOyxx+jp6eFnP/sZv/71rykqKhpR9ZRIJJJDxXVd6O3E3fgmbs0G6CfMuEKB/AqUGUtwc0sQI0yAhRCEAiZnn1TKhu0t1DZ2k0geEDoURVCU62fm5BwyMzwDBShICS+KD4LnpYwiJzDtrj8diShP7lpDR2J4USjp2Dy7ZwOGqlEVyhs19WtE9BLI/jy0/mZkIcp3WkqEOowClOM47N7bOaYKMnsaupkzNfe4EqESSZvq2s4x9dnbnCrVbBrgxCwia+qJbR1mNdVyiO/qwOqMEzq7AjUwNmHIdFWuKVkIuEScJFsiLWzvaibh2MP28Wj64fpISCQSiURyQuAxNWZX5TKpJMy2mnYaW3pJ2g66qpCf46eqLBOfVz/ixVckkolgXJFQl19+OV6vlz/+8Y9Dbv/EJz6BZVk8/vjjAFxyySVs376drVu3HtpojyNOBAVfIjnecLvbcP75OLQ3DN9I1RCnfhhRMhWhjV6WPJG0SSRtmlojxBIWuqaSl+XDY6oj+u4cbhK2xSv123ineXda7fO9QT4xefGhR584cUjuhq7nILoa3H7lW4zJEDgrlYZ3mCv/JZI276yrZ3d915j6XXRG5RFLyZsIYnGL11fX0dDSO6Z+l541mYyAQXxnGz2vpxdFZU7KxH9ScVqpeU7MwulNEN3aQmdzJzErie4z8EzJRmR7WNlVx6q2ob2iLimdxbzskgMG9oBt21iWRW9vL4lEAiEEgUAAXdcxjNE/pxKJRCI5cTgR5lGHGgnVn6RlpxbdhADXRdOUCfeAkkgmgsMaCbV8+XJ+8pOfDLv9rLPO4rbbbuv7+5JLLpE5mRKJ5LDixnpxVv59ZAEKwLZw334GkXE9ZBaMul9DT1V8C/iOrYlwzLbYONq59qMx2k1ztPvQRSjFTKUWZhWB0wNWI7gWqGHQslMV/8ThvzFyXReXsZcjHsuyi+s6JJwIMauD3mQz4OLVsvHpWeiKH+Uw+F25jg2OA0JBqCqCVJW/saIqAjdmDR8BNQSJmk588wpgFBHK7k3Qu6KOxJ5OcEF1LKKxXqJAV3UrZqaPk06vJJBn8mrTjgF9A5rJ5FDuAAEqHo/T0NBAU1MTsdiBqpRCCMLhMCUlJQSDwUHlmiUSiUQieT+ga6oUnSQnFOMSoUzT5O233+YLX/jCkNvfeuutASuXlmURCMgywBKJ5DAS6Ya92wY+JwTklWMVz8D2hgCBGutG27sZd/tqmH/uiGl5xzLt8ciAimvpsLWzibJA1qGl5O1HDaQe+uhC3uFAUxX83rEJg6oi8Jjp3cQl7Qitse3UdL9Je2wX9BO8QkYJJcFTyPfNwlD9w+8kTVzXgVgklUq6ewMkYqDpUDINI5zLtIow9c09OGkKaOGgia4pOD0JrOb0I6hcyyG+uwPf7Pxh29iRJD2v1ZDsZwavCYWAbtKTTF2P8fYITf/YyswPTKMl3MvGjpRYqgrBB0qm4+1nyB6Px9m6dSsdHR2Dx+O6tLe309nZSVVVFdnZ2VKIkkgkEolEIjnOGZcIddVVV/HLX/6S7OxsbrjhBiorKwHYtWsX9913H7/73e+46aab+tq/9NJLzJw5c2JGLJFIJAfhJhMpUal/mEt+JYkZS+lxDLbXdNDd3YPrQiDgYcrkswmZYNo2YuILihwRkiN47ozUx8HlRJjGq6rCpJIMtuxqTVucKcoLoGujC3BJO0JN91ts7/g7DBFt1ZWoZWNrLd2JeqaEz8M4hEqHrpWEtnqctcuhqWbgtq0rIDOfvFlnctrsXN7c0IKdxslWlmSg6wpWJDnm8TjdCVzbQRzscwa4tkNiV/sAAQpACAW/ZiCAXiuB47rYsSSdK2tZdHoxGzsaCOoePlA8nUmhnL6qeMlkkurq6iEFqAFjchy2bduG1+slGAyO2FYikUgkEolEcmwzLhHqJz/5CY2Njdxzzz389Kc/7at65zgOrutyxRVX9KXrxWIxFi1axGmnnTZxo5ZIJJL+2Encnn5pRyXT6Z1+FivW7aV+78B0pOYm2LWzgbz8MCcvySRkuCjjSHc62njUsX99ezUd9QRyhPaYGkV5AWoPEkWGQgioKs8c1cfLdR1aY9uHFaD6s6f7DbxaJmXB01CVsb8frm1DSy3OP/8vFf00FO2NuK8/ScGiS1g4tZAVm0dOrwv5DcoLM1AVBXs817UiYJhubsImtmPo4ytCwa+ZeDWDqJUk4VgkG7vJTmp8YtIi8rxBPKqO3i+SybIsWlpa0hqW4zjU19fj9XrRNFkFSCKRSCQSieR4ZVx3ch6Ph8cee4zbbruN5557jt27U8a45eXlXHjhhSxcuHBA229/+9sTM1qJRCIZjXA+0Rln8c+3qmlvH16caGrs4JUVNZxzaiWhMVYEOxYIm16yTT+t8fTSrQQwI1x4WHyMjhYeU2PBzHx6Ikk6ukdOTZw7NTctQ/KEE6Gm6w1GE6D2U9v9NoX++ajKOIxT4xGct/+/4QWofQjXRln1HGUf+Axbgyadw5xryG9w+sISfN7UT7saNEEVYKdvhKXl+hDDpGvavQnsjuHHKoRARRDQDRw3FWKo7OmlcmERykGRVY7j0NTUhOOkX92wtbWV8vJyKUJJJBKJRCKRHMcc0p3cggULWLBgwUSNRSKRSMaHqiMCWbjswK6cz6ad7SMKUAAoCt2RJOu3tbB4dgGGfnSS1FzbSekdikCMIXLFo+rMySri5fptozcGSgNZZBiHVp3lWCToMzhzcSnrtjZT29idqh7Tj4ygyfSKLEoLQ2m9xzGrg/Z4ddrHj1gtdCX24NFmjWncruviNu6Cno602itOEmXPes5acCqrtrRS39zTl5oXDppUlmRQXpiBz6sh9kW7CVPFKA6RqOlM7xh+Hb1g+NRCN55uCqg4YDyecBCOy8E5oI7j0Ns7top/lmWRTCYxzeNPNJZIJBKJRCKRpJDLiRKJ5LhH6AZMmY9bu4lkbiU167eM3snwgFCobexm7rTcIypCubaDm7Cx2qIkartwbQfFUDErM1F8OsJzQEgYDk1RmZNVzLauZup6O0Zs61V1zimswqcdWxX+JgIhBEG/weJZBcydmkttYze9kSSKIsjP8ZEV8mAYatpm7D3JJtKNgtpPZ7yOPN/YRCjiEdyd68bWZ89GAtNP5tR5hVi2i2U5KIpAUxUMQxl0joqp4Z2RS6KuK61oKM+0HJQR0hVFGn5ag/qoIpXidxDuWMoUTkA/iUQikUiOV5ykDf0X2TQF5SgtnkokE8G4Rai//e1v3HPPPaxatYrOzs4hbwxte+zGuRKJRDIufCGoOomW9gjRaGLktkKA6UMIQdJy2Nvcw9TyrCMyTCdhk6zrIvJe46DUpuimZvT8AL6FhahhL8ook/6Q4eHy8rk8V7uRHV1De+tkmT4uLZtNgS80qrB1PGMaKqahMmNSNo7jIgTjPN/008P2446jD64DsdG9rAYQ7QbXxTQ00o0FUrO8BJeU0v1W7cAb2IPwTM/BMyV7RKFJCRgoXg0naqU9ZKMkY0iTc0VR8HgGRuYFAgEyM0MYeurlicZtWlvbSSRSn2dVVdH1I1tJwLWtVMEDVUWcQKmsEolEIjn2ceIWTm+S2LYWkvU9uEkboavohQE8VTkofh3FPLZiSpYtW8Ytt9zSV3Tkjjvu4KmnnmLNmjVHdVySY4txXbVPPPEEV155JbNmzeITn/gE999/P1dffTWu6/KXv/yFqqoqLr/88gkeqkQikQyP8PhRpiwktqt5lIaAPwP6GXvHYkdGMHeSNonqdnreqWPIkm4uJBt66Fq+i9DZFYic4f159hM2fXyobA7tiQirWvbQEu3BwSWgm8zNKqY0kIlPNdKOBDrauE6/9MRximaHYjTv07LH3Ceg54/jSCIlho6pizKsafhwKLqKXppBht8gurklFRW1X4wSoOcF8FRloReFUDwj3xIohopZkUl00yifsX2oGR607KF9uFRVJT8/n71795KRkUFJUQZeIw49r+DabSAUREYVJQULae9MUFPbREZGBqp6+Fd+3WQCkjHc+p3QUptSxPxhKJ+VEq/N0b3FJBKJRCI5FJxYkuj6ptRvbv9bxqiF3RUntrUV74xcvLPzUDwTu0Bz/fXX88gjjwCg6zplZWVce+213H777WP2ZfzqV7/KF7/4xQkdn+T4Z1wi1J133snJJ5/Ma6+9Rnt7O/fffz//+q//yrnnnkt1dTWnnnoqlZWVEz1WiUQiGRmPDz0QAo8vZfbc3/RYAJoBngDoxgCBQ9OOTISQ05OgZ8UwAlQ/3JhFz5u1ZHxgMsI3unjk1038ukmOJ4DlOICLIpTjJv2uLz2xNUpi7770RI+OWRFG8eqjiiMTiU/LIWgU0Z3Ym1Z7U80gyzNpwHNx2yLppIRNVQi8Q70PqobIyMVtb0x/cOG8sQtXpIQoJT+AGvbgxm3s3gQ4Loov9dqmk/4JIHQVz7Rs4ns6cXpGizYE39w8hDG8aGQYBpWVFWSHEjhty0j2rga3f5TVSwg1g8zwhQSmnwtK6LBHQrmxXtztq3C3vpuKPOu/bcNriJKpMO9cCIRlZJREIpFIDgtO3EoJUBtHWPRx6dvunZM/4RFRF110EQ8//DDxeJxnn32Wm266CV3X+cY3vjGm/QQCAQKB4f0mJe9PxnUHtXHjRj7xiU+gqmqfGppMJgGoqKjgxhtv5Mc//vHEjVIikUjSQAhBTpYfNZABGTkQCIMvmIp8CuVAIBNhmAMm3EJAQY7/sI/NTdrEt7WmXanM7oxhtUbGdAyPqhPQTQK657gRoJyERby6g86/76Br+U5im1uIb2sj+l4jHX/dSvfru7HaoikD9yOArvooDZ6SdvvCwHw0JZVW1puMU9fbwQu1m3h812r+b+cq/lqzge1dzfQk4zjugXMQhgdRtejAjgxv6hoN5YDpG/JYYtL8Ybelg2JqqCETozCIURxCy/SiePUxRZwpAYPgmeUowRGuL1UQOLkEvXjoVLz96LpOYa7Aafov7J4VBwlQKVy7k2Trn/DGnsbvPbzXgBuL4K57FXftS4MEKABsC3f3RpxX/wQ96Zm9SyQSiUQyVpzeRNpRx9FNzTi9yQkfg2maFBQUUF5ezg033MD555/P008/TXt7O9deey2ZmZn4fD4uvvhitm0bvkjOHXfcwfz58/v+dhyH733ve5SUlGCaJvPnz+e5556b8PFLjm3GJZn6fD4MI3UDGg6HMU2T+vr6vu35+fns2rVrYkYokUgkY8A0VIryg9Q2dEMaaTN5WT58ExzGPBSu5RBPs0rZfmLb29Dy/Mdcvv9E4SRs4jva6X23bmgvcMclWddNV/tOQudUomZ5D7uvlSJU8n2z6Urspbb77RHb5npnUB48A00x6YhHeL52E9u7Dr5p7GRLZyP53iCXlM0m3xM8kBoZyoEZS0j6wyTySolZqegij2ZgtNSh794ATbtTnkShHETR5KMefSMUBS3LR8YFU0jUdBLb0ZbyNnNdFK+OWZaBWZWd8o8azTTV7kZ0/BGP2k5C17Esa5C/pKqo6IaOGn0VEZsL/iWptMQJxnUd3IaduNtWjN64owl37Ytw0qUyNU8ikUgkE4qTtIltbU2/RooLsW0t/397dx4fV13vf/x9zuyTZLKnadp03+gCpQW6QIsFbIECgqyCCMiqBQVEwAsIiPcCiiICbvgTvFBuAWVTBKxdENktpdCV7nvSLM2eyWzf3x+xQ9MkzaTNNJP09Xw88oDM+Z5zPjNn2p55z3eRf0JRUicr9/l8qqio0OWXX661a9fq1VdfVSAQ0G233abTTz9dK1euTKi38iOPPKKf/exn+u1vf6ujjz5af/jDH3TWWWdpxYoVGj58eNLqR2o5oE82I0eO1MqVK+O/jx8/Xk8//bS+/vWvKxKJ6Nlnn9WAAQO6rEgASJTH7dToIbnaVVGvUHj/PSccDkujh+bJs58hQ13FxIxijZ37pirWEO5w6F5PFq1pUv2SHR3eaMUawqp7f5sCJw2W5Ut+YOh2pGt41kz5nDnaVvuBGiOVLbZ7HBnqmzZBAwMnyOsMqCYU1EublmlHQ/shY2ljrf604WNdOGSi+vgDkqSwy6OKEcdo6fY1WvPpQjWEmyeq9zrdGpE/UBOOPFG51eVyrflI9tSzJV9qdGe3bEuONLe8I3PlGZQl85/3qGVbspy2rL1ugiOxqILRsKpCjWqKRuS2ncpy++R1uuSK1clqXCbLsuVxe+R2uxWJRGVMTJIlh8Mh+z9zg1mypLpFkm+s5Mjs+ifV1CizdknCzc22z2UdOSOhoBsAgIRFYgqXdG7hkvDOOplITEpCCGWM0YIFC/Tmm2/qtNNO08svv6x33nlHU6dOlSTNnTtXxcXFevnll3X++ed3eLyHHnpIt912my666CJJ0oMPPqhFixbpF7/4hR5//PEurx+p6YBCqHPOOUe//OUv9dBDD8nj8eiOO+7QV77yFWVlZcmyLNXX1+sPf/hDV9cKAAnJzvRq6vh+eu+THWoKtz3puMtpa9KRRco/BL1r4iyruVdLonrxlDOxUERNa8sTDtkiFQ2KVAXlPgQhlNQcRA3MOF5FaRNU1bRZNaFtkozSXH2U6x0mp+2T03YrHItqacXW/QZQe9SGm7R451qdOWCcnLatz6t36W9bVygcCUkulxSLSNGIgpGQPt25VivLNmvWiEk64pRL5Xb7ur0X1L4s25bla7+m6lCjPq3YruW7d6iy6YuhpZlun0Zn9dGEnBwF/JNlN7wTD5rcrv08x6ZVUrQmOSFUY51UtiXx9tGIzKbl0thpHS4eAABAZ5h27l3bbx/r7LolHfrrX/+q9PR0hcNhxWIxXXzxxfrqV7+qv/71r5o06YtpC3JzczVy5EitWrWqw2PW1NRox44dOv7441s8fvzxx2vZsmVd/AyQyg4ohLrlllt0yy23xH8/44wztHjxYr344otyOByaPXu2ZsyY0WVFAkBnOB22CvPSNPP4QdqwvVqbt1errqG5F1Kaz6UBRQEN7Z8lv88l136WpO9Klm3JkeVVtLIx4X2cWV7pENV3qJmI6fTwxKZ1lXLm+mUfgp5rkuSwXXLYLhU6x6kwbVybbYLRsJZXJjaJuSRtrC1XxERVWl+j17YsV8TEJNvRPGG+xy/Fos0T6luWIg6n3ijdoLS0TA31+Lv8BjOZKoP1ennzMu1sqGm1rTrUqPdKN2ht5RqdM+g05ZuIrMb9D31sZqRY6+N1iWBd5wJiSaqvbr5ehFAAgC5kuRxSY+t5Ettvbyc8ei9RM2bM0K9//Wu53W4VFRXJ6XTq1Vdf7eKz4HDV6RCqqalJb775pgYNGqQjjzwy/vi0adM0bdq0Li0OAA6Uw2ErkO7RuGF5Gjkwu7nDjTGybUsul0PO/UyYnAyWx6G0iX0VLq2XJMUawwpvr20ectfmDpJneF5Sx/d3q2hMpqlz3/TFGsJSNCYpdV6TimC9qkKJB4tRY1QXbtL7uzY1B1B7WJZkOZoDqb3by+j9XRtV5M9UmsvTVWUnVX24SX/buqLNAGpv5cEavbrpI1009CtKb1ouxeoTOHqS5kc7kF5mhE8AgK7mtOXqm65oTVPCu7j6psvq4i8t09LSNGzYsBaPHXHEEYpEIvrggw/iw/EqKiq0Zs0ajR49usNjBgIBFRUV6Z133tGJJ54Yf/ydd97Rcccd16X1I7V1+t3qdrt1/vnn6913301GPQDQpRwOWz6vS2k+l9L8bvm8rkMeQMVCEcUawopUNCpa0aBIWb1sl0MZJwxU2jFFsjNahwvu/plypPeMFe4OyIEMgUzBrkCN/5lMPFFF/kyFYlFtqi1PeJ8tdbtV3Ymgq7uVBeu0ua5y/40sW7K8Km2o0Oa6ahnvhI4PbKdJztyuKXJf6VlSZ1eUzO0nOXrnogEAgO5huxzyDs9N/J7HkryH6EvL4cOH6ytf+Yquvvpq/etf/9KyZcv09a9/Xf369dNXvvKVhI7x/e9/Xw8++KCee+45rVmzRrfffrs++eQTffe7301y9Uglnb57sixLw4cPV3l54jfQAHC4itaH1PBpiUKbqmXCEZlITLHakEzMyPI65RuVp/TJ/VW/ZEd8qJ6zIE1px/WT7e29H3AthyU7w6NYbeLf9DmzfS0mvU4FLrtz1yjL49fOhmrtf8r81rbWV6koLauTex16jZGQPi7fmlhj2ydFHVpasUmDiqcqreHt/bf3HSvZ/oMvsi0ur6z+I5rneUqEL/0/qxWmYDIKAOjR7DS3fEfkq3HlvivutuY7Il922qGZL1OSnnzySX33u9/VGWecoVAopOnTp+tvf/tbQivjSdJ3vvMdVVdX63vf+5527dql0aNH69VXX2VlvMOMZfZdDzkBzz77rG6++Wa99dZbGjlyZDLq6vFqamqUmZmp6upqBQKB7i4HQDeINoRU968t+6xyYqSoUSwYkQlFZWJGniHZSju2vxpWlMrTN0PuITly+A/dDUV3MNGYGpfvUsOyksR2sC1lzR4hZ3ZqrUZW3dSo3695V8FoYisfjsspUr43XQt3fN6p83yp73AdXzj0QEo8pOrCTXpm7YeqaEpgaJ2JSbEapVmNumr0KUrfdbvaXSrRTpP63CG5B3VluS3LKdum2MJnpAR6t1lHfknWqMmyXL24tyIAdJPe8DkqGAxq48aNGjx4sLxeb6f3jwXDaly+S42rytr+p9FqDqB8Ywtke3v3PSN6jkTf9wf0Nfv777+v3NxcjR07Vl/60pc0aNAg+XwtPxhYlqVHHnnkQA4PAD2eCUcVXFnWxjK7luSwZPtdks8pEzWKlDcovKtOgWkDZbkcsg7xcMHuYDlseYZkK/h5hWKNHQc47oGZsg/Rynid4XE6NSqzQJ9Ubk+ofZrTrUx354O0DFfnb2C7i0l0elTLluwMxeJzfNmS2pgnzE6Tcr8lOYu6qsS2ZRfImnSmzAd/2W8QZQ2bKGv4RAIoAEDS2F6XfOP6yDMkR8G15QrvrGteBc/VPGeUd3ie7DSXbE/v7TWP3uuA3rWPPfZY/P8XLFjQZhtCKACHs1goqqaNu9tvYFmSZcXnQ27aWCXfiLzDIoDaw/a7lDFtgGre3iyzn1VgXH3TlTahKCWHJ3odLh1bMEjraspVF9n/0EKHZWtgeo4KfAFluDyqDSc2FNHvdGtgRk5XlJt0lqR0l0eVTQ0J7uBQuqePZKdL3tFScKXiQZSdIfmPkTK+3BxA2ckNfSynW+o/XFbaJTKffySz7fOWYVTBAFlDJzQPw/OmJbWW/TGRcHMvMtshizmpAKDXsj1O2R6n/BOKZCIxWWruFGU57d67cA0OCwd09xKLdXY2CwBIPU2hqMKRqIL/WaXN63HI7Wr+OVjh0nrFOrG8bqy2SZHdjXL38mF4e7Mctpz5aco8ZaiCq8vUtKW6xYp5jiyvvEOz5Rmc09xzbD9isZgikYgaGxtVXV2tWCwmn8+nzMxMOZ1OOZ3J+7Ce4/HrnMFH6eVNn6o2HGyzjct26NT+o1WcniNL0ujsvvpg16aEjj8qs4+8jp7xvvA5XRqbXaQtdfsJYPcxOrufvK6AlDdHitVJ0ZrmlQId2c1zQCVrHqg2WE63lF8sBfJkHTlDqq+SYlHJlyF50yWvT9aBrKR3kEwkLIWCMmVbpZ3rpWhY8vilQeOktEzJ6++WugAAyWe7HBKhE3oRvkIDcNgJhaOqrA5q7eZKbS+tUzTWPHzI5bTVv0+GRgzKUWaGWy7ngf+D35kJt+P71HVupbXewHLYcmb75J/YT75xhYrWNslEYrK9TjnS3bLcHQ9PDIfD2r17t7Zv3666upbDH10ul3Jzc1VcXHxAczIkwmk71M+fpW8MP06rq0r1WeV2lTfVyxijDJdXR2T10VG5/RVw++T5T8+V4/IHalt9lbbXV+332IW+gKb2GRLfL9XZlq2hgfyEe3p5HE6Nyekrp+2QFJAcAcmV5GF3CbA8PsnjkzKyu7sUmaZGma2rZVb8S9on3DNrPpQKBsg++hSZ7EJ6RgEAgJR3UHcr77//vhYtWqRdu3bp29/+toYPH66GhgatXr1aI0aMUHp6elfVCQBdIhSKav22Kn2yqlSxfaauCUdi2ri9Wlt21ui4cX1VXJgh14F+83QgnRIch+9KW7bbIbkdcqR3bshVJBJRaWmpNm7c2Ob2cDiskpIS1dfXa9SoUUkLohy2rSyPX8fmD9TYnCLFjJFkZFu23LZTbkfL91HA7dM5A4/Sgh1r9Hl1qaL7rBFiW5aGBfJ1Sr9RCrh7znxQkuR3ujR7wFi9uPEThWJtzPH0H07L1unFY5TmZG6l9phQUGbDMpml86X21pHZtUWxxfNkn3ihTG6RLJtvywEAQOo6oBAqFArpoosu0iuvvCJjjCzL0plnnqnhw4fLtm3NnDlTN910k+64446urhcADlgsFtP2sjotXVXa7uc5SYrGjD78bKd8Xqf65h9YmO7M7+ScMZbkyEqtld96grq6Om3atKnDdrW1tdq0aZOGDh2a8DLCB8Jh20q3PQm1zfT4dGrxaE0rHKpPK7erIti8oly2x6+jcvsr3eWRvwcGNE7boeK0HJ0/ZIIW71zbZm+vQl9A0wqHamBGjtz03mlfbaXMJ/9oP4Dao6lBsY2fyU7LlAmHZLZ/LgXrJZdXVtHQ5iF7Hr8s6/ANugGgOzCNDQ4nib7fD+jO76677tJf//pX/frXv9aMGTM0cuTI+Dav16vzzz9fr7zyCiEUgJTSFIpp9YaKDj/PSc1B1OqNlcoOeOU9gJVHnJleOXJ8ilY2JtTeVZAuR1rPmPcnVYTDYe3YsUMmkQsqqaKiQgMGDEhqCNVZfqdbfqdb0wuHK2KiMmqeP8rVw3uzuB0ODUjP1vmDj1ZlU4NWVpUoFI3IbTs0MquP8rzp8jtcsm3mMWqPCQVl1n4sJXBDZ42aJKtgkGLvvSqVbZGiX8xHZz5bLBUMlD3mBJn8/s3zXgEAksrtdsu2be3YsUP5+flyu918EYBeyxijUCiksrIy2bYtt3v/9xoHFEL93//9n771rW/pmmuuUUVFRavtRxxxhF544YUDOTQAJE1NfZMqq9ueOLotJWV1CjZFDiiEsjwO+Y7IV907WzpubFvyHpEnKwVXf0tlkUhEu3cnPgF2LBbTrl27NGDAgJQLP1wOh1zq2cHTvmzLVprLozSXR0X+TEVNTA7LliPFXvuUFQ3LbFvdYTNr8JGy8ooV+/uTUripudfT3q+xMVLpJsUqdsiaeo7Ud4gsZ+oEsQDQG9m2rcGDB2vnzp3asWNHd5cDHBJ+vz+h++wD+sSza9cujRs3rt3tDodDDQ0JLs8MAIfIrorO/b0UM1JlTVBZgc7PyWPZttz9A/KPL1TDspLmNXXbYltKm1gkV2FGyn5DFo1GFY1+MbePZVkp0ZsoHA53upt7MBhULBZLuRCqt3PYthwHNFHaYSwalZo6+DvL6ZY1dLxi85+W6qul/fVyioRk3n9V1qlXShk5XVsrAKAVt9utAQMGKBKJtLiPAnojh8Mhp9OZ0OeZAwqhiouLtXp1+9/OvfPOOxo2bNiBHBoAkia670zkCYhFO7/PHrbHKe/IPDlzfGpcU67wzjrFZ0N3WHIXBeQdmStnXlrzxNwpJhKJqKmpSaWlpaqsrFQkEpFt2woEAurbt6/8fn9KhFFAr5TATZzVb7hM5U6p8j/fsne0S6hRZtNyafRUVtIDgENgzxd33C8BXzigO5CLL75YP//5z3XuuedqxIgRkhRPvJ544gk9//zzeuCBB7quSgDoAun+zt8A+H0Hd9Nge5xy98+UMy9NsaaIYvUhybLkSHPJ8jhlH8BQv0Nhz6pymzdvbjXnUllZmcrKypSXl6chQ4bI40lsIu6u5na75XA4OvXtot/vpxfUYc4Yo1AsophpXr3Qk6phjO2Qsgqkql3tt+k7RGbl+1/87nB1GF6ZTctlDZsg+VjBGAAAHHoHdOd1xx136P3339f06dN1xBFHyLIs3XTTTaqsrNS2bdt0+umn66abburqWgHgoPTNS5Pb5VAonFhokZHmVnagawIW2+uU7XVKmc1D+2KxqEy7Y/S6VyQSUWlpaYerzpWXl8sYo2HDhnU4AWEyOJ1O5eTkqKysLKH2DodD+fn5hFCHqXA0qmAsrC21lVpbU6ZILCqPw6XR2YXq4wvI53Cl1nxVbp+swUfKLP1Hu00st1+m5j9zc1qSPP6Oe1A1VHe82h4AAECSHFAI5Xa79cYbb2ju3Ln605/+pGg0qqamJh155JH68Y9/rEsvvTRl5zYBcPhyuRwa0DdD67ZUJdR+UL9MuV1dN0wuGgspHGtUZXCdqpq2yigmvzNXffxj5bL9cjl8XXaugxGJRLRlSwITqqt5xbk+ffooNzc3yVW15nQ6VVRUpIqKioTmhsrLy5PTmaK9XpBUwUhYa6pL9XbJelWHWq5Y+WnlduV703VS0UgVp2enTM8oy+GQBo6RWftvqa6qnVbmi9DJ7Ws5IXn7R+6iCgEAADrPMomubY1OqampUWZmpqqrqxUIBLq7HAD/Ud8Q0tsfb1NF1f5XySvMS9OU8UXye7tmDH8oWqettR9qW+0HCkarWmxzWB718Y/RsOyZ8jmzu+R8ByoWi2n79u0d9oLaW05OjkaMGNEt8x1EIhGVl5dr3bp1rYYN7i0rK0sjRozotqGD6D5N0Yg+q9yuv29btd++hy7boXMGHaVBGbly2akxR5uJxaTKnYr960/NE4/vwzr2dGn9UplNK6T0zOYhfB3J6Sv7S1+TxXA8ACmKz1FA73ZA/c5vvfVWLV26tKtrAYCkS/O7dcKE/hrQNyCH3bpHgNNha2hxlqYc1ZUBVL3WVv1d66rebBVASVLUNGlH/cdatusZNUZ2d8k5D1QkEtHu3Z2robq6utOr1HUVp9OpvLw8jR49WllZWa164Xq9Xg0YMIAA6jBWE2rUP7av6XDwazgW1etbV6gxEj4kdSXCsm0pp1D2SV+XdcQUyd/yw5iprZTGTpPSsxILoCRZg4+UPKnR6xIAABx+DqgnlM/nUygU0pAhQ3TRRRfpggsu0Lhx45JRX49Fgg+ktqZQRMFQVBu3VamuPixZUmaGR4OKMuV2O+TpomF4xsS0o/5jLS9/IaH2RWkTNCr3LLns7vmQGAqFtGLFCtXV1XVqv+OOO67bQ55QKKRQKKT6+nrFYjF5PB6lp6fL4XDI4UiNni04tELRiN7auVYflm1OeJ/Ti8foqNz+slNsWgETCUmhoFRfI0XDzcPv/tObKfb2n6SyBIbQpmXK/vLlstIyk1wtABw4PkcBvdsB9YTatWuXnnzySY0YMUI/+clPNH78eI0ZM0b33Xef1qxZ09U1AkCX87idykz3aNzwfB13ZF8dN66vxgzNVUaau8sCKEkKxeq1rfbDhNuXNqxQONrYccMk6mxgkyoBj9vtVnp6uvr06aO+ffsqJycnvoIeDk/hWFSfV+9ndbk2rNi9U42RUJIqOnCW0y3LH5CV319W4WBZOYWyfOmyfOmyJ50hZebv/wC+dNlTz2FVPAAA0K0OKITKyMjQN77xDb322msqLS3V7373O/Xv31/33XefRo8erfHjx+uBBx7o6loBoMs5HLbcLofcLkdSVk1ritSoqimxSb6l5qF5pQ2fdXkdidqz4lxnZGVlseIcUlLMGNV3MlBqiIRSduXKdgVyZH/pIlkjJ7UOmVweWYOPkj3jEim3SFaKzHcFAAAOT106MXlFRYWefvpp3X333aqrq1M0mtgy6L0R3UgBSNKuhpVauuuPndqnf8Ykjco+Sw67e1bpCgaDWrp0qSKRSELtx4wZ0+ngCj1XLBZTJBJRKBRSJBKR0+mU2+2W0+lMuTCyLhzUb1f9S8FoYu9lSSr0BXTh0IlKd/W8OcRMOCSFg1LlTpmmBllOr5RbKLl9stze7i4PABLC5yigd+uSTzjhcFivv/66nnvuOf3lL39RXV2diouLu+LQANCjWQfQ4dSW3WqC7UPJ6XRq4MCBWr9+fYdt8/LylJGRcQiqOnTCsajC0ahkSS7LIRfD+eKampq0a9cu7dq1Sw0NDfHH/X6/CgoKVFBQ0O1zg+3NkqU+voA211UmvE+hL0MuK7XCtERZLrfkckv+gFJrRisAAIBmBxxCRSIR/f3vf9dzzz2nV155RTU1Nerbt6+uuOIKXXjhhZo6dWpX1gkAPZLflSvbcilmEl9xK9MzQLbVfcGH0+lUfn6+jDHatGlTuyvf5efna/DgwXK5umYVwe5WHw6pLhLUsortqmpqDlhyvWk6Mqef0lwe+Z3ubq6wezU2Nmr16tVtTlrf0NCgTZs2qby8XKNGjZLPlxqrr/mdbo3P7ZdwCGVJOjqvWB5n73hPAwAApJoDCqGuvPJKvfzyy9q9e7fy8vL0ta99TRdddJGmT5/erd/eA0CqcdlpyvON0K6GFQm19zqylOMdluSqOuZyudSnTx/l5OSotLRUlZWVikQism1bgUBAhYWF8vl8vSKAMsaoKtSo+dtWaX1NuWJ7zQe0tqZMH5Vt1ojMPjq530hlulMjXDnUQqGQPv/88w5XTayrq9PatWs1atQoud3dH9pZlqVBGbnq6wtoZ2NNh+1HZvVRlsd/CCoDAAA4PB1QCPXyyy/rnHPO0YUXXqiTTjqpzZWHdu/erezs7IMuEAB6MrfDr4GB41Xe+HlCvaGKA5PlslNj7han0ymn06ni4mIVFRXFH7dtW05n98xXlQzVoUb9eeNSlTbWtrk9aoxWVZWoNhzUOYPGK3AYzq1TW1urmpqOQxxJqq6uVl1dXcrME5bu8uqsQUfq5U3L2r3GkjQ4I1df7nfEYd/jDQAAIJkO6FNEaWlpmx9Ampqa9Oqrr2ru3Ll64403FAwGD7pAAOjpAu7+Gp17tlZWvLzfIKo4Y4r6px8rh51aH4IdDkebXzb0Bk3RsN4t3bDfcGKPbfVV+nfZZk3rO0yuw2iFsXA4rJKSkk7tU1JSooyMjJTpKZfrSdP5QyZo5e6d+rRyh8qDX/To6ufP0lG5/TQ8s6BHTkYOAADQkxxQCLV3AGWM0YIFCzR37ly99NJLqqmpUX5+vi6++OIuKxIAejKn7VEf/zh5HdnaUvvOPr2iLGV5Bqp/xnHK942S25HWrbUeboLRiFZXlSbcfsXunTo2f6Bc7uSHUE3RiMKxqGLGyJJkW5Z8TrfsQzzs3Rij+vr6Tu1TX1+vLlx896BZlqVMt0/H5Q/SuJwiNUTCisSicjuc8jpc8jtdsnvoZOQAAAA9yQGPp1iyZInmzp2refPmqaSkRJZl6aKLLtL111+vyZMnMzcUAOzFaXuU6xuqDHdfhWMNaohUyJiovI5MeZyZctt+WXwIPuQ21VaoMZr4pPE14aB2NlQrI4lD8oKRsKpCDVpavlVra8pUHwnJadkq9Ad0VE5/DQnkKt11aIcEdjZQam8y++7msG2l295D/voBAACgWadCqA0bNmju3LmaO3eu1q5dq379+umSSy7RcccdpwsvvFDnnnuupkyZkqxaAaDHczv8cjv8SnPldXcpkFQd6vyw8dpw8oaaN0ZC+qRimxbvXKvYXsFPyES1pW63ttTtVl9/QF8ZeKRyPGmH7Asft9utUCjUqfYAAADAvhIOoaZMmaIPP/xQeXl5Ou+88/T73/9eJ5xwgiRp/fr1SSsQAIBkcR/A3E7OJM0HFYpGtGL3Ti3c8fl+2+1sqNHLmz7V+UOOVuAQrNbndDqVl5fX4cp4e8vPz+9Vk9cDAACgayR8h/jBBx9o8ODB+vnPf67Zs2dzcwkA6PGK0zu3iqttWerrz0xKLcFoRO+UbEiobUljjVZVleiYvIFy2MkdxmnbtvLz87Vt2zZFIpEO2+8Jrewk1wUAAICeJ+E7xMcee0x9+/bVOeeco8LCQl177bVatGhRSk08CgBAZ2S5fSpOSzyIGpyRm5QV1GLGaH1NmeoiTQnv81nljk7NZ3UwXC6Xhg0b1uHwP9u2NWzYsJRZFa83iAUjitY0KVxWr3B5vaL1IcXC0e4uCwAA4IAk3J3p29/+tr797W9r48aNmjt3rp599lk98cQTKiws1IwZM2RZFpORAwB6FJ/TrUkFg7RjU5WiHXyp4rIdmpQ/SH5n18931BSNaH1Neaf2KW2sVVM0kpRQbF8Oh0PZ2dkaNWqUNm/erIaGhlZt/H6/Bg0apMzMTDkcyV89sLeLNUUU2VWvxs/LFd5ZJ8Wa35+W1ynPgEx5R+TJEfDIctLjDAAA9ByWOYiuTHtWyHvuuee0c+dO9enTR2eeeabOOussnXLKKfJ6D9/VZ2pqapSZmanq6moFAoHuLgcA0I6maFirdpfozW2rFDFtr+rmth06vXiMhmcWyO3o+uHoDZGQXt38aaeDqKtGTVUf36H7NyYWiykSiaiurk7l5eWKRqNyOBzKy8tTenq6nE4nw/C6QCwYUeOKUjWuKGu3jeV2KOOEAXIVZhBEAehV+BwF9G4HFULtEYvFtHDhQj3zzDN66aWXVFtbK7/f36lJTHsb/vIEgJ6jKRpRRbBOH5dv1ZrqXQr+Z5ib3+nWqMwCHZ03QDkef1ICKEkKRsJ6Y9tKrdi9M+F9LEnfGj1d2R5/UmrqSDQalTFGlmXR86kLmUhMjWvK1LCk4/eC5XYo88tD5cztnvcAACQDn6OA3q1LQqi9BYNBvfLKK3r22Wf1yiuvdOWhexT+8gSAnicYDSsUjarpPyGUx+GSx+GUJ0nh094+ry7VCxuWJtx+YHqOzhl0lNIOwXA8HDqxhpCqXl+rWH1i8315huYo7dh+st0EgQB6Bz5HAb1bl/ff9nq9uvDCCw/rAAoA0DN5HS4F3F7l+zKU78tQwO09JAGUJBX5M5XrSUu4/fjc/kmZnwrdK1RSl3AAJUmhrdUyoY5XLQQAAEgFTCIAAEAK8DncOrnfSDmtjv9pHplZoMEZuSwI0svEIjGFS+s7tY8JRRWtCyWpIgAAgK51aL7eBQCgBzNNDVLsP5OW27asJMzD5LDt+BC7N7atVG24qVUbW5bGZBdqRtHIbhmGZ6IRKRaVLFuW03XIz79HNBZWONaomtA21YfLZMlWwFOkNGeBXA6/bKtnDk2zpPgqeJ1yIPsAAAB0A0IoAADaYExMCjZIu0sUW/exVLu7eUNGtuxhE6TsQsnrl5VAz6VEuR1ODQ7k6fIRU7Shplwrq3aqIRKSw7JV5M/U+Lz+ynB5D+kwvObXoVGq2y2zebnU1Cg5nFK/4VJeP8ntk3WIhixKUlO0VttqP9SOuiVqiFS02JbhLtKAjCkq8I+V29EDJ+u2Ldn+zod7trf7AkEAAIDOIIQCAGAfJhaTqssUe/8vUuWOlhurShXbulrKKZI9+UyZzHxZdtcFUS7bIZfboSNz+2l4Zr6MjCRLbtuRtNX52mOiYamyRLGl/5DKtrbctn6plJEra+wJUv8Rsty+pNfTFK3VqspXVFr/WZvba0M7tKLiRTVEKjUoML3HBVGWbckzOFuNK3Yl3LvJmZ8m28ftHAAA6BmYEwoAgH3VVSr2z+dbB1B7q9zR3KauMikl2JalNJdH6S6v0l2eQx9AxaJS+Q7FFs9rFUDF1VbIvP+qzKYVMqFgUuuJxJq0pebddgOoLxhtrF6sisbPm3tx9TC21yl3v4yE23uH58jyEkIBAICegRAKAHoiE5Oi1VLwc6n6Zanqeal2gRQpk6IN3V1dj2ZCQZnl70h1uztuXLdbZvk7SQ9gukVTg2If/lUKNe6/nTEyS96U6quSWk4kFtT2uiUJtjbaWvu+QrHOTfKdCmyvU2kTimRndDznl2dIttz9A0xQDwAAegy+OgOAnibWIAWXSzWvSU3rJO01bMdOk3zHSJlnS858qQvnKzpshBpltq1OuLnZtlrWkdMltzeJRXWDsm1STUXH7SQpFpVZt1Qaf7IsV3Lmq6oIrlNTtDrh9rubNikYqZbHkXivolRhZ3gUOGmw6v+9XeEdtS3+iEuS5XHIOyxXvtH5zAcFAAB6FEIoAOhJYo1S/XtS5VOSom1sr5fq35JCG6T8myRX4aGusMczpZulNlama1e4SaZ0s6z07OQVdYiZpgbFNizr3D5bV8saO01KQghljFFtaGdn91JDpFyZnv5dXk+yWbYlZ6ZXGccPUKwhoqYNlYrWh2XZkjPXL/eALFluh2x3z1wFEAAAHL4IoQCgJwlvl3b/r9oMoFq02yrtflrKvUZyZB6S0nqNpgMYzngg+6SyWEwK1nVun2Bd836dFIrWKRitUW1oh2ImKp8zW+muQrlsvxz2wd6m9OxharbXJdvrkiOzr0w0JsmS5bRl2T37eQEAgMMXIRQA9BTRBqn2H5IJJ9a+8VMpWkUI1VkH0pPH1fH8PT1OZ4dyWnanMp9wrFFVwU3aXPOOKoPrZfRFgOV35qkofaL6ZxwrjyNDlmUp4C7qXD2y5HfmdnKf1GQ5bFkOhtYCAICejzsaAOgpTKPUmOjEzJIUleoWSbFODC3rAYwxMuGoYqGIYpGuX/3MKhgkdWYlOodTVsHALq+jWzldsrI6OZQzqyDh4CoSC6qkfpmW7npaFcG1LQIoSWqIlGtd1ZtaUf5nBSM1kqQc71B5OxGoZnsGyevMSrg9AAAAko8QCgB6ilhD85xPnREpk0woOfUcYiYcVbQhpKZ1lar7YJvq3tumhiU7FC6vV6wxLGNMxwdJhNcv9R2SePu+Q5v36UUsl0fW8KOlTqy6Zg05SvL4EmpbE9qh1ZV/kelgWGlZ4yptqF6ocDQol+1TUfrERKtRccZkue3edV0AAAB6OobjAUCPcSDzwPSOuWNiwYiC6ysUXFmmWGOkxbbg5+VyFaQr7ZgiObK8Bz1syfL4ZY8+QbFdW6RQcP+N3T7ZY46X5emFYYc/UyoeJW1Z1XHbjBxZ/UfJsjueKDsUbdCWmncVM5EO20pSSf0nGpx5onyObA3ImKr6SLlK6z/dzx6WhmSdpFzfCFmsDgkAAJBSuDsDgJ7C9kt2oHP7uIokq2fPVxRriqhx5S41LNnZKoCSJBkpXFqnmoUbFK0Kdk2PqOw+sk84V/Kmt9/Gm97cJqvPwZ8vBVlev+wJM6XCwftvmJ4t+/ivSr79vFZ7icQaVd64OuE6wrFGlTYslzExeZwZOiLnLA3PPlV+Z16rtgF3f43NO08DM06Q29ELg0EAAIAejp5QANBT2H4p7bjmyckT4pTSpkv2AUy0nUIiFQ1qXL6rw3axxojqPtymwJcGy/K5DuqcltMlUzBQ9qxvymxZKbPxM6lud/PG9GxZg8fJGjBa8qXL6sz8UT2MlZYpe+rZMptXymxYJu0u+WKjPyBr4FhZwydIaVmy7MS+1wpGqxVNdHL9/6gNlShqwnJaHnkcGRqYMU1FaRNVG9qh+ki5LFnKcBcpzZUnl50mmx5QAAAAKan33jkDQG9je6X0k6W6d5onKe+I/5gevzJerCmi4OcVCbePlDUoWtMk+yBDKEnN4VJ6ljRykqzBR0p7elhZluT2yXJ0PPSsN7B8GdKIY2QNHCM11jYPUXS4pLRMye2V5ezsa30gPdVa7uOwnXLYAXmdAeUfwNEAAADQPQihAKAncRZKuVdLFb+VzH5WvfOMlLIvlhwZh662JDDhmELbazq1T3B9pZw5PlmurgmJLIcj4aFmvZVl/+c16ILXweMIyJKjw0nJ9+Z35sm2Dj5YBAAAQPeivzoA9CS2R/KNlwq+L/kmqNV3CY48KXCmlHe91MacOT2NCUelaOd6zsQawzKd3AeHjsv2K883IuH2DsutvmlHMcQOAACgF6AnFAD0NLZX8o6WXMVStFoKbZRMSHLkSO6Bkp3e4+eBirM7v7qfZdu9ZVHAXsntSFNxxmSVN66RUazD9n38Y+WymWQcAACgNyCEAoCeypHR/OPu392VJI3lcshOdytWF0p4H2euT5aTXjOpLMszQEOzvqx1VX/X/uaIyvIM0rDsWXI5fIeuOAAAACQNIRQAIGXZHoc8g7PV+FlpQu0tly3P4GxZDkKoVOZy+DUgY7K8zkxtrvmXakM7Wmx32+kqTDtSgzNPlNeZ1T1FAgAAoMsRQgE9WDQWUSTWoJiiMiYm23LJYbnlcnhbtY2ZmBojYcWMkZFkW5ZctkOeXry8PHo+y2HLOzRbTesrFWsId9jeOyxXlufwWLWup3M5/OqbNl553hGqC5eqqmmLYiYsvzNXub5hcto+OW1Pd5cJAACALsSnT6AHipmogpFq7az/RDvrl6o+vEuS5LJ9yvePUXHGJKU58+Vy+BQzRvXhJq2rKdOyyu0qbahRzBiludwakdlHR+f1V5bLJ0+nl1kHDg07za2MaQNV+8/NijW2H0R5hmTLN7ZAtpt/2noK23LI48yQx5mhXN+wTu9vQkEpuuc9YUkeX/NKfgAAAEhJljGGJYSSoKamRpmZmaqurlYgEOjuctCLxExU1U1b9WnZ/ykYrWqzjSWHhmefqv7pk7Q7FNLLm5apLFjXZluHZemkopEal9NPPoIopCgTjSlaF1LT5xVq2lT1RRhlSa6CdHmG58hdlCHby3v4cGCaGqS6Kpm1H8tUbJOiEcnjl1V8hKwBRzT/v6uXTM4PAIcZPkcBvRtfFwM9TEO4QsvKnlVTtLrdNkZRbav9UBmecXpx42eqaGpot23UGP1j+2q5bYfGZBfJ5aAXAVKP5bDlzPTKMb5Q3jH5ijVEpFhMltsp2+uQ5XHKslgS73BgGmpllv5DZvNyae/v0WorZcq3yax4W9bEU6X+I2S5Ww9NBgAAQPdh5lagB4nEmrS19v39BlB7FPiP0tKyDSoP1nbY1kh6p3SDgrGO59wBupPlcsjhd8uV55erIF3OLK9sr4sA6jBhgvWKffS6zKbPWgZQewsFZT54VWb7WpkIf6cBAACkEkIooAeJxIIqafi0w3YOy60s7yh9UrFeUZPY0vZVoUZtqdstRujiUDKxqGLhoKLhoGLhoGKRpoM6XjgWVX24SfXhJjUSQPQ6pmSTtG11xw1jMZlPFkihYNJrAgAAQOIYjgf0II2RSoWiHfds8jlz1BCJqjxYI7cjTU7LKyXQU2R9TZmGBfJZMQ9JF4uGFQs3Krh7s0LV2xWLNMmyHHL6s+XLHSqnL0u2K/GhVI2RkOojIX1asV07G2sUMzGlOT06MqefCv0Z8jvcsm2+d+nJTLBeZv3SxHdoqJEp2SgNHivL4toDAACkAj5pAj1I1EQSauewnArHmtsaGTUPuOs4hArHovSEQtLFIiEFd29W/Y5PJRONP24khaobFKreLldGoTKKJ8rhTuvweLXhoP65Y62W796piIm12LaqqkQF3nSdWjxGhf6AXKyc1nNFI1Lppk7tYrauktVvmOTxJ6cmAAAAdApfDQI9iNtO7INUxITkdbhlSbJkJ9QLSpK8Dpcc9BZBEploRE3VW1W//ZMWAdS+wrUlqt3ykaLhxv0erz7cpL9vXaVPKre3CqD22BWs0wsbPlZpQ41ihKw9VzQstXON2xVuan/uKAAAABxyfNoEehCPM6CAu1+H7RrCFXLaYRWn58tl+5VILyhJGpPdl54iSKpYNKSGnSvU3O9p/8J1uxSqKWm3d17MGK2rKdPq6tIOj9UYDesfO9aoIZLYHGlIQfYBdN52uhMO4QEAAJB8hFBAD+Ky/eqXfkyH7Yyi2t34qSbmD5dtJRYqFfoCyvOmH2yJQLuMMQrVligWSXyy6KbKje1OVt4YCemTim0JH2t7fZWqmhoSbo8U43BK+cWd2sUqGiZ1Ym4xAAAAJBchFNCD2JZDfdLGKc83ssO2u5s2aHT2AA3L7NNhW4/t1Mn9RsrvcHVFmUCbTDSkUM2OTu0Tri+XYm0P22uIhLWtvqpTx1u+e4fC7RwPKc7rlzVkfOLtPX5Z/YbLYogxAABAyuDODOhhPI4Mjck9V0XpE2Wp7V5OAXc/jcu7QGlOr04vHqsxWYWy2hmSl+X26dzB41Xkz2L1MCSXMTLRxCbXb7lb2/sEo+FOH6shElY01sl5hZASLMtunmS8YEBi7cdNl9y+JFcFAACAzkipT5z333+/jj32WGVkZKigoEBnn3221qxZ06LNtddeq6FDh8rn8yk/P19f+cpXtHr16hZttmzZotmzZ8vv96ugoEDf//73FYm0/BCzePFiTZgwQR6PR8OGDdNTTz3Vqp7HH39cgwYNktfr1aRJk/Thhx92+XMGDoTXmamR2bM1tei7GhSYrhzvMGV7h6gw7ShN7HOlJhRcoQx3PzlspwJur2YWj9Y3R07RxNxi9fNnqdAX0NBAns4eeKS+MWKSitOz5XYwFxSSzLJkdbq3nSWrnbmAXAcQmjptWxZzBPVYli9D9pSvSH0Gt9/ItmUdfYqsQeNkudyHrjgAAAB06ABm+Uyet956S3PmzNGxxx6rSCSi//qv/9LMmTO1cuVKpaU1L9M9ceJEXXLJJRowYIAqKyt1zz33aObMmdq4caMcDoei0ahmz56twsJCvfvuu9q5c6e+8Y1vyOVy6X/+538kSRs3btTs2bN13XXXae7cuVqwYIGuuuoq9e3bV7NmzZIkPffcc7r55pv1m9/8RpMmTdIvfvELzZo1S2vWrFFBQUG3vUbAHm5HmtyONA3L+rIiJiTJyJZTLkfrb/79Trf8Trdm9BsZH4pky5LP6eIDOQ4Zy+GWO7OfQtXbE97HlZ4nq515zdJcHmW6faoO7X8Fvb0Nzshl8v0ezkrPln3CV6Xy7Yqt+1iq2C5FI/8ZfjdC1rCjJX9Alpu5oAAAAFKNZdpbdigFlJWVqaCgQG+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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " AvgTreatmentCost AvgPerCapitaIncome\n", - "count 400.000000 400.000000\n", - "mean 25017.133065 50288.256687\n", - "std 918.304499 1945.957610\n", - "min 21592.782222 45060.353909\n", - "25% 24446.419380 48867.130417\n", - "50% 25011.521691 50226.332353\n", - "75% 25673.356283 51572.830533\n", - "max 27581.779221 58271.036364\n" - ] - } - ], + "outputs": [], "source": [ "# 6.\tEconomic Burden:\n", "# What is the average treatment cost (USD) for the most common infectious diseases, \n", @@ -1618,51 +1004,57 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Question 7:\n", + "# Does the urbanization rate affect the incidence and prevalence rates of infectious diseases? \n", + "# Are urban areas more vulnerable to certain outbreaks?\n", + "\n", + "query = \"\"\"\n", + "SELECT\n", + " DiseaseName,\n", + " AVG(UrbanizationRate) AS AvgUrbanizationRate,\n", + " AVG(IncidenceRate) AS AvgIncidenceRate,\n", + " AVG(PrevalenceRate) AS AvgPrevalenceRate\n", + "FROM HealthStatistics\n", + "WHERE DiseaseCategory = 'Infectious'\n", + "GROUP BY DiseaseName\n", + "ORDER BY AvgUrbanizationRate DESC;\n", + "\"\"\"\n", + "\n", + "# Execute the query and load the data into a pandas DataFrame\n", + "df_urbanization = pd.read_sql(query, connection)\n", + "\n", + "df_urbanization.describe()\n", + "# Calculate correlation\n", + "correlation_matrix = df_urbanization[[\n", + " 'AvgUrbanizationRate',\n", + " 'AvgIncidenceRate',\n", + " 'AvgPrevalenceRate'\n", + "]].corr()\n", + "\n", + "print(correlation_matrix)\n", + "\n", + "# Visualize correlation as a heatmap\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\")\n", + "plt.title(\"Correlation Between Urbanization and Disease Metrics\")\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\4268870804.py:16: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_vaccine = pd.read_sql(query, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName AvailabilityOfVaccinesTreatment AvgMortalityRate \\\n", - "0 HIV/AIDS Yes 5.153536 \n", - "1 Dengue No 5.147725 \n", - "2 Parkinson's Disease No 5.124283 \n", - "3 Cholera No 5.119150 \n", - "4 Zika Yes 5.106914 \n", - "\n", - " AvgRecoveryRate \n", - "0 74.472044 \n", - "1 74.311980 \n", - "2 74.639644 \n", - "3 74.222884 \n", - "4 74.696067 \n", - " AvailabilityOfVaccinesTreatment AvgMortalityRate AvgRecoveryRate\n", - "0 No 5.047460 74.374314\n", - "1 Yes 5.059264 74.503307\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ + "# Question 8:\n", "# How does the availability of vaccines or treatments impact the mortality and recovery rates for specific infectious diseases?\n", "\n", "\n", @@ -1707,58 +1099,11 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\639494033.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_dalys = pd.read_sql(query, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Top Diseases Contributing to DALYs:\n", - " DiseaseName TotalDALYs\n", - "0 COVID-19 126331645.0\n", - "1 Asthma 125850738.0\n", - "2 Leprosy 125449471.0\n", - "3 Dengue 125391463.0\n", - "4 HIV/AIDS 125366533.0\n", - "5 Cholera 125358861.0\n", - "6 Diabetes 125342789.0\n", - "7 Cancer 125275792.0\n", - "8 Zika 125185536.0\n", - "9 Tuberculosis 125169183.0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\639494033.py:23: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(data=df_dalys, x=\"TotalDALYs\", y=\"DiseaseName\", palette=\"viridis\")\n" - ] - }, - { - "data": { - "image/png": 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NM5JMkyZNkp1++fJlkzNnTuPl5ZXsF7nkXLlyxXh5eZkcOXI4je/bt6+RZJYsWZKqfgYPHuzYK5ucP//802TIkMHkyJHD8aV/0aJF6bLXyhhj+vTpk+IX29RI3OM+YMCAZKc3adLESDK9evVyGp8Yulu2bJnsfA0bNjSSzLx585zGpyV0P/300ym2SU3oTst7wd2he/ny5UnmO3XqlGNv960Bd968eY5a/v2jlTHGTJkyxZLQ7ern0+2kNfQmHgnz9ttvO42/ePGiY2/73r17HeOvX7/u2DOf3OdYWpdvjDH169d3zNOgQYMU2yXuuU3tZ1JKTp8+7Vje6tWrk20zZcqUJEdaJLctJ7etJh4R5OvrayIjI5PMs337diMpyXvm1v/Hvvrqq2Tr9vX1NZLMpk2bUr2+iT+irlixwml8WkO3McYUL17cSDI//vij0/iTJ08aLy8v4+vrm+SoKuBhwTndAB5aieertm/fPtmr87Zs2VJZsmTR5cuXtWPHjiTTS5UqpdKlSycZX6JECZUpU0YJCQnasGFDepctSUpISJCkVN0DtkKFCpKkcePGad68eXc8f3nFihWSpHbt2iU7PXPmzCpfvrzi4uKSPR9w8+bNevvtt9WvXz91795d3bp1U9++feXt7a2zZ886neNbsWJFSf9csX3JkiWKiYm5q9py586t8PBwnT17VocOHZL0z/mpnp6emj17tj744AOdOnXqtsuwSlxcnDZt2iRJKZ7L3KNHD0nS+vXrk53etGnTZMcXLVpUku7qXNrWrVu7PK873wtp5eXlpYYNGyYZHxQUpCxZsig2Nlbnz593jP/hhx8kSW3atEn2AoWdOnWypM67/XxKDyl9zsyfP1/Xr19XhQoVnC5mZrfb1bFjR0l3f0G1RBMmTHD8ndI1HqT//1nSqVMnbdy4Mdnz0NPL+vXr9fHHHycZUiPxdW3YsKFy5cqVZHq5cuVUqlQpJSQkOLa9WwUGBiZ78cacOXM6tuvEZdzq77//1owZMzRw4ED17NlT3bp1U7du3fTrr79Kkg4ePJiq+m/nhRdekCRNmTLFafz06dMVFxenTp06KTAw8K6XA9yPCN0AHlqJASWli2HZbDbHtOTCzO0uopU47c8//7zbMpN17tw5SVLWrFnv2LZmzZoaPHiwzpw5o65duyp79ux65JFH9PTTT2vZsmWOL9aJ/vjjD0lSly5dklysKnFIvBDO2bNnHfOdOXNG1atXV9WqVTVkyBBNnTpVc+fOdXwhTbzATnR0tGOeLl26qFOnTvr999/VqlUrBQYGqmTJkurbt6/WrVuXZF0Sa6tevXqKtf32229OtRUsWFCTJk3SzZs39dxzzykkJERhYWHq0KGDPv30U924cSN1T7qkHDlyONY1rc6fP6/r169LSnnbKViwoKSUw3NKV+T29/eXJEf/rvj37aPSwp3vhbQKDg5O8er+yT2PiXWn9PwEBgYqICAgfYvU3X8+3a34+HjHxQ///TmTGKiffvrpJPMljvvyyy8VFRV113Xcep/w290zfOzYsSpbtqxWrVql6tWry9/fX9WqVdPw4cO1f//+VC8v8SKCkvPn260WL14s88/Rojp58mSq+5bu/LpKt/8cSLxoX3JSeq+NHj1aYWFh6t27tyZOnKhZs2Y5Ppd/+eUXSc6fy67q3LmzsmTJoiVLljh+3Lxx44ZmzJgh6Z9bDwIPK+7TDQAWMv+6onR6uHjxoo4ePSrpnz2JqfHWW2+pT58++vrrr7Vx40Zt2rRJc+bM0Zw5c1ShQgWtX79emTJlkvT/926ltCfmVvny5XP83bNnT23cuFFVqlTR6NGjVapUKWXJksURcEJCQnTq1Cmn58TDw0Pz58/XsGHDtGLFCm3atEmbNm3StGnTNG3aNDVt2lRLly6Vp6enU22tW7d21JuSbNmyOf5+/vnn1bZtWy1fvlwbN27Uxo0btXDhQi1cuFAjR47Ujz/+qODg4Ds+j4lXKD569KjOnz/vtIx7wcPDut/KM2bMaFnfUtreC//+ISg9ufoc3u6oktQccXK/2bdvn+MHqVs/Z3bu3Kndu3dLkj766CPNnz8/ybweHh66du2aFixY4LiVmNWCgoK0fft2/fDDD1qzZo02bdqkn376SZs2bdKbb76psWPHavDgwXfsx8vLSyVLltSePXu0fft2de7c+R5Un75ufa8tWbJEo0aNUubMmTVlyhTVrl1bISEhypgxo2w2m4YNG6axY8emy/9Vvr6+6tWrl8aNG6ePPvpII0eO1JdffqnTp0+revXqKlmy5F0vA7hfEboBPLRy584t6f/vPU1OYrhNbJvctOQk3jooT548d1Fh8j777DMZY5QhQwbVqlUr1fOFhYXp+eefd9wK6Oeff1bnzp31888/a9y4cY7bS4WGhurAgQPq0aNHqg85vnLlilauXCkPDw+tXLkyySGEV65cUWRkZIrzFytWTMWKFdPLL78sY4zWrVunjh076uuvv9a8efPUvXt3R22HDh3S4MGDVb58+VSvuyTlypVLvXr1ctxP98CBA3r66ae1ZcsWDRkyJFWHh9aqVUt+fn66fPmy5s2bp/79+6d6+dmyZZPdbldsbKz++OOPZL+AJm6LyW1v/2VpfS94e3tL+ucWbMk5fvx4+hV3lxJfi5RuBxYVFZXi7fDSY7mufj7drcQwnS1bNqfbYd162PiuXbtu28esWbPuWeiW5LhVXOLt4q5fv665c+eqX79+GjZsmFq3bu3Yi3w7zZo10549e7Ro0SK98847KR4Z4YrUvK63+xy43W3pknuvLVq0SJI0ZswY9e7dO8k8iafhpJd+/fppwoQJ+uijjzRs2DDHoebs5cbDjsPLATy0Er+Yff7558kelrt06VJdvHjRcf/Uf/vll18ch+bd6tdff9XOnTvl4eGhxx9/PF1rPnHihOM+vt26dXMc7uyKChUqqG/fvpLk2HMlSY0aNZL0/7+spUZUVJTi4+Pl7++f7Dl78+fPT/WeFJvNpjp16jjODb3b2lJSpEgRx56vW5dxO/7+/o7zFl977bXbhk1JiomJcQQTLy8vVatWTdI/96lOTuJ9j9PyY8rtJIZbK89vldL+XkgMEwcOHEi2v8Rz95OTGICsXqdEiXV/8cUXyS7zs88+c6nfO702d/v5dDd27tzpCEsDBgxwHGly7do1x/quWrXKcYj1v4eLFy/Kbrdr+/btyW4X94qPj4/69OmjkiVLKiEhIdW1vPDCC/L399epU6f0yiuvpGtNia/r6tWrdfr06STTd+3apd27d6f4/8elS5f09ddfJxl/9uxZrV692mkZkhzX8Lj1qKREZ86c0ffff+/KaqQob968atGihf7++2+9+uqr2rx5s0JCQtSyZct0XQ5wvyF0A3hotWnTRnnz5tXff/+tAQMGOH35PXr0qAYOHCjpn0OTfXx8ksxvjNGzzz7rdGGwqKgoPfvsszLGqFWrVgoNDU2XWuPi4rRgwQJVqlRJ586dU7FixTRu3LhUzbt06VJt2LAhySG7N2/edHxJu/ULWe/evZUvXz598cUXGjx4cLJ7IyMjIx3n6Un/7EXOkiWLLl26pE8++cSp7datWzV06NBka5s3b16yF4G6fPmy42JAt9b28ssvKzAwUBMnTtSECROSPR/76NGjToe8rlu3TitXrtTNmzed2hlj9M033yRZxp28+uqreuyxx3Tp0iVVq1Yt2S/A8fHxWrp0qcqVK+d0MaTEbWratGlau3at0zxz587V8uXLlSFDBr344ouprud2Evd4JV4sySppfS9UrFhR/v7++u2335JsL1988YUmT56c4rLu1TolatOmjYKDg3Xs2DG98sorTu+jAwcO6LXXXnOp3zutx91+Prni2rVrmjZtmmrWrKnr16+rZs2aGjRokGP6l19+qUuXLik4OFj16tVLsZ/AwEDHRf8Sf0iy2vjx43XixIkk4w8cOODYm5va93n27Nk1b948eXh46J133lGvXr2SvQCjMcZxccTUqlatmipVqqRr167pmWeecVzrQvrnWh3PPPOMpH8uoJfS/x8DBw50Om87NjZW/fr105UrV1SxYkVVrVrVMS3xIosfffSR0+dlVFSUunbtmi7n3f9b4ufXW2+9JUl65pln5OXFwbV4yN3LS6UDgDukdMswY4zZtm2b4xY3+fLlM+3atTONGzd23A6nQYMGTvepNub/30qlWbNmpkCBAiYwMNA8+eSTpmXLlo6+wsPDzenTp9NUp265LU7iLWjatm1ratSoYfz8/BzTW7dubc6cOZNsH8ndMuzFF180kkz27NlNvXr1TKdOnUyzZs1Mzpw5HffA/fetzfbt2+e4D3BgYKB5/PHHTceOHU2LFi1MsWLFjM1mM7ly5XKaZ9KkSY4aK1WqZDp06GCqVq1qbDab6dKlS7K1NW/e3HFbpMaNG5tOnTqZxo0bm4CAACPJPProo0nurf3DDz+Y7NmzG0kmZ86cpnbt2qZTp06mSZMmjvuLV6pUKUld/v7+pmbNmqZjx47mySefdNQTEBCQ7O2ubufy5cumbdu2jvUNDg42TZo0MR07djQNGjRwbAd2uz3J7X2GDx9uJBmbzWaqVatmOnbs6Lg3r6enp5k1a1aS5SXeMiyl28mldEuvyMhIkylTJiPJVK1a1XTr1s306NHDzJ4929Emudcltf3fzXvh1u2lSpUqpnXr1qZ48eLGZrM57oee3G2JBg0a5Nie27Zta3r06GF69OjhuNf6nW4Zllyfd3ou1q5d6/hMKFSokGnfvr2pX7++8fb2Nm3atDF58+Y1ksxff/2VYt//tmfPHuPh4WE8PDxM3bp1Tffu3U2PHj2c7pXuyufT7dx6y65WrVo5Pmdat25tHnvsMUe/Hh4epk+fPk73kDbGmJo1axpJ5uWXX77jspYvX24kmWzZsjlqvHX5pUuXNpUqVUpxSK7m222jiZ8ZRYoUMU8++aTp2LGjqVmzpvHy8jKSzFNPPZXq5ynRqlWrTI4cORzvzXLlyplWrVqZzp07m0aNGjluqebh4ZFs/yn9v3PkyBHHtpYzZ07TunVr07x5c+Pv728kmbJlyya59Vnidl2lShVTqVIl4+vra5o0aWLatm1rQkJCHH0dOHDAab4//vjDBAYGOj7rW7VqZZo1a2YCAgJMcHCw4/70Kb2303LLsFuVKVPGSDIZMmQwp06dum1b4GFA6AbwwLtd6DbGmBMnTph+/fqZAgUKGG9vb+Pn52eqVKlipk2bZm7evJmk/a1fRs6cOWOeeeYZkydPHuPt7W1CQ0PNCy+8YM6fP5/mOhNrTBxsNpvx8/MzoaGhpn79+mb48OHmt99+u20fyYWGXbt2mSFDhphq1aqZ3LlzG29vb5MjRw5Trlw58+abbzrCyr9FR0ebcePGmSpVqpjAwECTIUMGExwcbCpUqGBefvlls3nz5iTzfPXVV+axxx4zgYGBJnPmzKZ8+fJm6tSpJiEhIdnaNmzYYF566SVTsWJFExQUZLy9vU1QUJCpUqWKef/995N86U90+vRpM2LECFO2bFnj5+dnvL29TZ48ecxjjz1mRo4caX755RdH28OHD5tRo0aZOnXqmLx58xofHx+TJUsWU7JkSTNkyJA03Uv937Zs2WJ69+5tihYtavz9/Y2Xl5fJnj27efzxx82YMWPMn3/+mex8q1atMo0bNzbZsmUzXl5eJigoyLRp08b89NNPybZ3NXQb889zXLduXZMlSxbj4eGR5It0eoRuV98LH3/8sSlbtqzx8fEx/v7+pnbt2ub777+/7Rf7a9eumf/973+mUKFCxtvbO0kgsyJ0G/NPSH7yySdN1qxZjY+PjylWrJh55513TGxsrPH29jYeHh6pvl92oqVLl5qqVasaPz8/Y7PZkn2O0/r5dDu3BtjEwcPDw/j7+5uwsDDTpEkTM2bMGHP8+PEk8x4+fNhR4759++64rJs3bzoC6+eff57i8lMakqv5dtvo/PnzTffu3c2jjz5qsmbNaux2u8mXL59p1KiRWbp0qUlISEjTc5UoJibGTJkyxTRu3Njkzp3b+Pj4GLvdbkJCQkzdunXN66+/bo4cOZLsvLf7f+f8+fNm6NChpmjRosbHx8f4+vqaMmXKmLfeestcvXo1Sftbt+uYmBjz8ssvm/z58xtvb2+TK1cu061bN3PixIlkl3X06FHTqVMnkzdvXsfz0qdPHxMZGZmq9/a/+0pN6B48eLCRZDp06HDbdsDDwmaMBZfWBYAH2Ny5c9W9e3d17do1xXNzATwcNmzYoBo1aqhEiRJuPX8Z+K+Ij49XwYIFdfz4cW3evFlVqlRxd0mA23FONwAAwG2cPXs22Yvm7du3z3E1/MQr7AMPu48++kjHjx9XlSpVCNzA/+GqBgAAALfx66+/qlatWipWrJgKFCigjBkz6ujRo9q5c6cSEhJUr149x634gIfRwYMH9c477ygyMlKrV6+Wh4eHxo8f7+6ygP8MQjcAAMBtFC5cWP369dMPP/ygTZs26fLly/Lz89Njjz2mjh07qlevXlydGQ+1U6dOadasWfL29lbx4sU1atQoPfbYY+4uC/jP4JxuAAAAAAAswjndAAAAAABYhNANAAAAAIBFOAHpIZaQkKC///5bfn5+stls7i4HAAAAAO4bxhhdvnxZISEh8vBIeX82ofsh9vfffys0NNTdZQAAAADAfevkyZPKkydPitMJ3Q8xPz8/Sf9sJP7+/m6uBgAAAADuH9HR0QoNDXXkqpQQuh9iiYeU+/v7E7oBAAAAwAV3OlWXC6kBAAAAAGARQjcAAAAAABbh8HKoVeX+yuDp7e4yAAAAAMBh5d5p7i4hXbCnGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLPLChOzIyUs8//7wKFCggu92u0NBQNW3aVGvXrnW02bx5sxo3bqwsWbLIx8dHJUqU0MSJExUfHy9J+vLLL+Xp6am//vor2WWEh4drwIABkqSaNWvqpZdeckyrWbOmbDabbDab7Ha7cufOraZNm2rJkiWpqv+FF15QuXLlZLfbVbp06WTbLFq0SKVLl5avr6/y5cund955J1V9AwAAAADujQcydB87dkzlypXTunXr9M4772jv3r1avXq1atWqpX79+kmSli5dqho1aihPnjxav369Dhw4oBdffFFvvPGG2rdvL2OMmjVrpmzZsunjjz9OsowNGzbo8OHD6tGjR4p19OrVS6dOndKRI0f05ZdfqlixYmrfvr169+6dqvV4+umn1a5du2SnrVq1Sp06dVKfPn20b98+TZ06VZMmTdKUKVNS1TcAAAAAwHpe7i7ACn379pXNZtO2bduUKVMmx/jixYvr6aef1pUrV9SrVy81a9ZMH330kWN6z549lStXLjVr1kyLFi1Su3bt1KVLF82dO1fDhg1zWsbs2bNVqVIlFS9ePMU6fH19FRQUJEnKkyePKleurCJFiujpp59W27ZtVbdu3RTnnTx5siTp7Nmz+uWXX5JM/+STT9SiRQv16dNHklSgQAENHTpUb7/9tvr16yebzZaKZwoAAAAAYKUHbk/3hQsXtHr1avXr188pcCcKDAzUd999p/Pnz2vQoEFJpjdt2lSFCxfWggULJEk9evTQoUOHtGHDBkebmJgYLV68+LZ7uVPStWtXZcmSJdWHmackNjZWPj4+TuMyZsyoP//8U8ePH09xnujoaKcBAAAAAGCdBy50Hz58WMYYFSlSJMU2v//+uySpaNGiyU4vUqSIo02xYsVUuXJlzZ492zF90aJFMsaoffv2aa7Pw8NDhQsX1rFjx9I8760aNGigJUuWaO3atUpISNDvv/+uCRMmSJJOnTqV7Dxjx45VQECAYwgNDb2rGgAAAAAAt/fAhW5jTLq3ffrpp7V48WJdvnxZ0j+Hlrdp00Z+fn4u15h4+HejRo2UOXNmZc6c+baHqv9br1699Nxzz6lJkyby9vZW5cqVHT8CeHgk/7IOHTpUUVFRjuHkyZMu1Q8AAAAASJ0HLnSHh4fLZrPpwIEDKbYpXLiwJGn//v3JTt+/f7+jjSRHmF20aJEOHTqkTZs2uXRouSTFx8fr0KFDyp8/vyRp5syZ2r17t3bv3q2VK1emuh+bzaa3335bMTExOn78uCIjI1WxYkVJ/5zfnRy73S5/f3+nAQAAAABgnQcudGfNmlUNGjTQBx98oCtXriSZfunSJdWvX19Zs2Z1HI59q+XLl+vQoUPq0KGDY5yfn5/atGmj2bNna86cOSpcuLCqV6/uUn0ff/yxLl68qFatWkmScufOrUKFCqlQoULKly9fmvvz9PRU7ty55e3trQULFqhKlSrKkSOHS7UBAAAAANLXA3n18g8++EBVq1ZVxYoV9dprr6lkyZKKi4vT999/r2nTpmn//v2aPn264/Zdzz33nPz9/bV27Vq9/PLLat26tdq2bevUZ48ePVS9enXt379fgwcPTlUdV69eVWRkpOLi4vTnn39q6dKlmjRpkp599lnVqlXrtvMePnxYMTExioyM1LVr17R7925J/5xj7u3trXPnzmnx4sWqWbOmrl+/rjlz5uiLL77QDz/84NJzBgAAAABIfw9k6C5QoIB27typMWPGaODAgTp16pRy5MihcuXKadq0aZKk1q1ba/369RozZoyqV6+u69evKzw8XK+88opeeumlJLfcqlatmh555BEdPnxYTz31VKrqmDFjhmbMmCFvb29ly5ZN5cqV0+eff64nn3zyjvP27NnTKUCXKVNGknT06FGFhYVJ+mev+aBBg2SMUZUqVRQREeE4xBwAAAAA4H42k5Yrj+GBEh0drYCAANUt+rQyeHq7uxwAAAAAcFi5d5q7S7itxDwVFRV12+tlPXDndAMAAAAA8F9B6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACzi5e4C4H5fbp0kf39/d5cBAAAAAA8c9nQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBEvdxcA92vd8g1l8LK7uwwAAAAAD7kVq193dwnpjj3dAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0W69atm1q0aOHuMgAAAAAAbkDoTsaWLVvk6empJ554ItXzHDt2TDabTbt377auMAAAAADAfYXQnYxZs2bp+eef14YNG/T333+7uxwAAAAAwH2K0P0vMTEx+vzzz/Xss8/qiSee0Ny5cx3TLl68qE6dOilHjhzKmDGjwsPDNWfOHElS/vz5JUllypSRzWZTzZo1nfodP368goODlS1bNvXr1083b950TAsLC9Mbb7yhp556SpkzZ1a+fPm0fPlynT17Vs2bN1fmzJlVsmRJbd++3THP+fPn1aFDB+XOnVu+vr4qUaKEFixYYN0TAwAAAABIM0L3vyxatEhFihTRI488os6dO2v27NkyxkiSRowYod9++02rVq3S/v37NW3aNGXPnl2StG3bNknSmjVrdOrUKS1ZssTR5/r163XkyBGtX79eH3/8sebOnesU5iVp0qRJqlq1qnbt2qUnnnhCXbp00VNPPaXOnTtr586dKliwoJ566ilHLdevX1e5cuW0YsUK7du3T71791aXLl0cdSQnNjZW0dHRTgMAAAAAwDqE7n+ZNWuWOnfuLElq2LChoqKi9MMPP0iSTpw4oTJlyqh8+fIKCwtT3bp11bRpU0lSjhw5JEnZsmVTUFCQsmbN6ugzS5YsmjJliooUKaImTZroiSee0Nq1a52W27hxYz3zzDMKDw/Xq6++qujoaFWoUEFt2rRR4cKFNXjwYO3fv1+nT5+WJOXOnVuDBg1S6dKlVaBAAT3//PNq2LChFi1alOK6jR07VgEBAY4hNDQ0/Z44AAAAAEAShO5bHDx4UNu2bVOHDh0kSV5eXmrXrp1mzZolSXr22We1cOFClS5dWv/73/+0efPmVPVbvHhxeXp6Oh4HBwfrzJkzTm1Klizp+DtXrlySpBIlSiQZlzhffHy8Xn/9dZUoUUJZs2ZV5syZ9e233+rEiRMp1jF06FBFRUU5hpMnT6aqfgAAAACAa7zcXcB/yaxZsxQXF6eQkBDHOGOM7Ha7pkyZokaNGun48eNauXKlvv/+e9WpU0f9+vXT+PHjb9tvhgwZnB7bbDYlJCSk2MZms6U4LnG+d955R++9957effddlShRQpkyZdJLL72kGzdupFiH3W6X3W6/ba0AAAAAgPTDnu7/ExcXp3nz5mnChAnavXu3Y9izZ49CQkIcFynLkSOHunbtqvnz5+vdd9/VRx99JEny9vaW9M8e6Hth06ZNat68uTp37qxSpUqpQIEC+v333+/JsgEAAAAAqcOe7v/zzTff6OLFi+rRo4cCAgKcprVq1UqzZs3S33//rXLlyql48eKKjY3VN998o6JFi0qScubMqYwZM2r16tXKkyePfHx8kvSTnsLDw7V48WJt3rxZWbJk0cSJE3X69GkVK1bMsmUCAAAAANKGPd3/Z9asWapbt26yQblVq1bavn27vLy8NHToUJUsWVKPP/64PD09tXDhQkn/nP89efJkTZ8+XSEhIWrevLml9Q4fPlxly5ZVgwYNVLNmTQUFBalFixaWLhMAAAAAkDY2k3gPKjx0oqOjFRAQoHp1XlYGL871BgAAAOBeK1a/7u4SUi0xT0VFRcnf3z/FduzpBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIl7uLgDut3jJcPn7+7u7DAAAAAB44LCnGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLeLm7ALhfs55vyyuDj7vLAAAAAPCQWvPpCHeXYBn2dAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0/59u3bqpRYsW7i4DAAAAAPAAIXS7yY0bN9xdAgAAAADAYoTuVNi3b58aNWqkzJkzK1euXOrSpYvOnTvnmF6zZk0999xzeu655xQQEKDs2bNrxIgRMsY42oSFhen111/XU089JX9/f/Xu3VuS9OWXX6p48eKy2+0KCwvThAkTnJY9depUhYeHy8fHR7ly5VLr1q0lSfPmzVO2bNkUGxvr1L5Fixbq0qWLVU8FAAAAACANCN13cOnSJdWuXVtlypTR9u3btXr1ap0+fVpt27Z1avfxxx/Ly8tL27Zt03vvvaeJEydq5syZTm3Gjx+vUqVKadeuXRoxYoR27Nihtm3bqn379tq7d69GjRqlESNGaO7cuZKk7du364UXXtBrr72mgwcPavXq1Xr88cclSW3atFF8fLyWL1/u6P/MmTNasWKFnn76aWufFAAAAABAqni5u4D/uilTpqhMmTJ68803HeNmz56t0NBQ/f777ypcuLAkKTQ0VJMmTZLNZtMjjzyivXv3atKkSerVq5djvtq1a2vgwIGOx506dVKdOnU0YsQISVLhwoX122+/6Z133lG3bt104sQJZcqUSU2aNJGfn5/y5cunMmXKSJIyZsyojh07as6cOWrTpo0kaf78+cqbN69q1qyZ7LrExsY67RmPjo5OnycJAAAAAJAs9nTfwZ49e7R+/XplzpzZMRQpUkSSdOTIEUe7ypUry2azOR5XqVJFhw4dUnx8vGNc+fLlnfrev3+/qlat6jSuatWqjvnq1aunfPnyqUCBAurSpYs+/fRTXb161dG2V69e+u677/TXX39JkubOnatu3bo51XGrsWPHKiAgwDGEhoa6+KwAAAAAAFKD0H0HMTExatq0qXbv3u00HDp0yHGod2plypQpTe39/Py0c+dOLViwQMHBwXr11VdVqlQpXbp0SZJUpkwZlSpVSvPmzdOOHTv066+/qlu3bin2N3ToUEVFRTmGkydPpqkeAAAAAEDacHj5HZQtW1ZffvmlwsLC5OWV8tP1008/OT3eunWrwsPD5enpmeI8RYsW1aZNm5zGbdq0SYULF3bM5+Xlpbp166pu3boaOXKkAgMDtW7dOrVs2VKS1LNnT7377rv666+/VLdu3dvuvbbb7bLb7XdcZwAAAABA+mBP9y2ioqKS7NHu3bu3Lly4oA4dOujnn3/WkSNH9O2336p79+5Oh46fOHFCAwYM0MGDB7VgwQK9//77evHFF2+7vIEDB2rt2rV6/fXX9fvvv+vjjz/WlClTNGjQIEnSN998o8mTJ2v37t06fvy45s2bp4SEBD3yyCOOPjp27Kg///xTM2bM4AJqAAAAAPAfw57uW0RERDguVJaoR48e2rRpkwYPHqz69esrNjZW+fLlU8OGDeXh8f9/s3jqqad07do1VaxYUZ6ennrxxRcdtwVLSdmyZbVo0SK9+uqrev311xUcHKzXXnvNcYh4YGCglixZolGjRun69esKDw/XggULVLx4cUcfAQEBatWqlVasWKEWLVqk23MBAAAAALh7NnPrzaThkpo1a6p06dJ699133bL8OnXqqHjx4po8eXKa5ouOjlZAQIBqtBkmrww+FlUHAAAAALe35tMR7i4hzRLzVFRUlPz9/VNsx57u+9jFixcVERGhiIgITZ061d3lAAAAAAD+hdB9HytTpowuXryot99+2+k8bwAAAADAfwOhOx1ERES4ZbnHjh1zy3IBAAAAAKnD1csBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwiJe7C4D7LZ85WP7+/u4uAwAAAAAeOOzpBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAiXu4uAO5Xd9Db8vL2cXcZAAAAAB5Cm6eMcHcJlmJPNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUL3/+nWrZtsNptsNpsyZMigXLlyqV69epo9e7YSEhLcXR4AAAAA4D5E6L5Fw4YNderUKR07dkyrVq1SrVq19OKLL6pJkyaKi4tzd3kAAAAAgPsMofsWdrtdQUFByp07t8qWLathw4Zp2bJlWrVqlebOnStJunTpknr27KkcOXLI399ftWvX1p49exx9jBo1SqVLl9Ynn3yisLAwBQQEqH379rp8+bKjzeXLl9WpUydlypRJwcHBmjRpkmrWrKmXXnrJ0cZms+mrr75yqi8wMNBRhySdPHlSbdu2VWBgoLJmzarmzZvr2LFjFjwzAAAAAABXELrvoHbt2ipVqpSWLFkiSWrTpo3OnDmjVatWaceOHSpbtqzq1KmjCxcuOOY5cuSIvvrqK33zzTf65ptv9MMPP+itt95yTB8wYIA2bdqk5cuX6/vvv9ePP/6onTt3pqmumzdvqkGDBvLz89OPP/6oTZs2KXPmzGrYsKFu3LiRPisPAAAAALgrXu4u4H5QpEgR/fLLL9q4caO2bdumM2fOyG63S5LGjx+vr776SosXL1bv3r0lSQkJCZo7d678/PwkSV26dNHatWs1ZswYXb58WR9//LE+++wz1alTR5I0Z84chYSEpKmmzz//XAkJCZo5c6ZsNpujn8DAQEVERKh+/fpJ5omNjVVsbKzjcXR0dNqfDAAAAABAqhG6U8EYI5vNpj179igmJkbZsmVzmn7t2jUdOXLE8TgsLMwRuCUpODhYZ86ckST98ccfunnzpipWrOiYHhAQoEceeSRNNe3Zs0eHDx92Wo4kXb9+3amWW40dO1ajR49O03IAAAAAAK4jdKfC/v37lT9/fsXExCg4OFgRERFJ2gQGBjr+zpAhg9M0m82W5iug22w2GWOcxt28edPxd0xMjMqVK6dPP/00ybw5cuRIts+hQ4dqwIABjsfR0dEKDQ1NU10AAAAAgNQjdN/BunXrtHfvXvXv31958uRRZGSkvLy8FBYW5lJ/BQoUUIYMGfTzzz8rb968kqSoqCj9/vvvevzxxx3tcuTIoVOnTjkeHzp0SFevXnU8Llu2rD7//HPlzJlT/v7+qVq23W53HBYPAAAAALAeF1K7RWxsrCIjI/XXX39p586devPNN9W8eXM1adJETz31lOrWrasqVaqoRYsW+u6773Ts2DFt3rxZr7zyirZv356qZfj5+alr1656+eWXtX79ev3666/q0aOHPDw8HOdmS/9cwG3KlCnatWuXtm/frj59+jjtQe/UqZOyZ8+u5s2b68cff9TRo0cVERGhF154QX/++We6PzcAAAAAgLQjdN9i9erVCg4OVlhYmBo2bKj169dr8uTJWrZsmTw9PWWz2bRy5Uo9/vjj6t69uwoXLqz27dvr+PHjypUrV6qXM3HiRFWpUkVNmjRR3bp1VbVqVRUtWlQ+Pj6ONhMmTFBoaKiqV6+ujh07atCgQfL19XVM9/X11YYNG5Q3b161bNlSRYsWVY8ePXT9+vVU7/kGAAAAAFjLZv594jDuuStXrih37tyaMGGCevTocc+WGx0drYCAAFXoNUxe3j53ngEAAAAA0tnmKSPcXYJLEvNUVFTUbXd8ck63G+zatUsHDhxQxYoVFRUVpddee02S1Lx5czdXBgAAAABIT4RuNxk/frwOHjwob29vlStXTj/++KOyZ8/u7rIAAAAAAOmI0O0GZcqU0Y4dO9xdBgAAAADAYlxIDQAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAi6RL6I6KilJ8fHx6dAUAAAAAwAPD5dC9fft2NWzYUL6+vsqWLZt++OEHSdK5c+fUvHlzRUREpFeNAAAAAADcl1wK3Zs3b1a1atV06NAhde7cWQkJCY5p2bNnV1RUlKZPn55uRQIAAAAAcD9yKXQPGzZMRYsW1W+//aY333wzyfRatWrpp59+uuviAAAAAAC4n3m5MtPPP/+ssWPHym63KyYmJsn03LlzKzIy8q6Lw72xZvxg+fv7u7sMAAAAAHjguLSnO0OGDE6HlP/bX3/9pcyZM7tcFAAAAAAADwKXQnflypW1ePHiZKdduXJFc+bMUY0aNe6qMAAAAAAA7ncuhe7Ro0dr+/bteuKJJ7Rq1SpJ0p49ezRz5kyVK1dOZ8+e1YgRI9K1UAAAAAAA7jc2Y4xxZcZ169bp2Wef1aFDh5zGFyxYUDNnzmRP930gOjpaAQEBioqK4pxuAAAAAEiD1OYply6kJkm1a9fWwYMHtXv3bh06dEgJCQkqWLCgypUrJ5vN5mq3AAAAAAA8MFwO3YlKly6t0qVLp0MpAAAAAAA8WO4qdJ84cUJ//PGHLl68qOSOUm/ZsuXddA8AAAAAwH3NpdB94sQJPf3001q/fr0kJRu4bTab4uPj7646AAAAAADuYy6F7q5du2rLli0aMmSIKlWqpICAgPSuCwAAAACA+55LoXvr1q0aPHiwRo8end71wA0ef+0tedp93F0GAAAAgIfQjjGvursES7l0n+48efIoS5Ys6V0LAAAAAAAPFJdC96BBgzRr1ixdvXo1vesBAAAAAOCB4dLh5c8884zi4+MVHh6u1q1bK0+ePPL09HRqY7PZ1L9//3QpEgAAAACA+5FLoXvfvn0aN26cTp06pffffz/ZNoRuAAAAAMDDzqXQ3bt3b0VFRWn69OlcvRwAAAAAgBS4FLp3796t0aNHq1evXuldDwAAAAAADwyXLqSWP3/+9K4DAAAAAIAHjkuhe/To0frggw908uTJ9K4HAAAAAIAHhkuHl2/YsEGBgYF65JFHVLduXYWGhiZ79fL33nsvXYoEAAAAAOB+ZDPGmLTO5OFx5x3kNptN8fHxLhWFeyM6OloBAQEqNXCoPO0+7i4HAAAAwENox5hX3V2CSxLzVFRUlPz9/VNs59Ke7oSEBJcLAwAAAADgYeHSOd0AAAAAAODOCN0AAAAAAFjE5dC9atUq1atXT9myZZOXl5c8PT2TDAAAAAAAPMxcCt1ffvmlmjRpotOnT6t9+/ZKSEhQhw4d1L59e2XMmFElS5bUq6/enyfDAwAAAACQXlwK3WPHjlXFihW1a9cujR49WpL09NNP69NPP9W+fft06tQp5c+fP10LvVvdunVTixYtkoyPiIiQzWbTpUuXnP7+8ssv5enpqb/++ivZ/sLDwzVgwACncbVq1dLMmTOdxjVo0ECenp76+eef71hTt27dZLPZZLPZlCFDBuXKlUv16tXT7Nmzk1y8bs+ePWrWrJly5swpHx8fhYWFqV27djpz5kwqnxEAAAAAgNVcCt2//fab2rdvL09PT3l5/XMB9Js3b0qSwsLC1LdvX7399tvpV6UbNGvWTNmyZdPHH3+cZNqGDRt0+PBh9ejRwzHuwoUL2rRpk5o2beoYd+LECW3evFnPPfecZs+enarlNmzYUKdOndKxY8e0atUq1apVSy+++KKaNGmiuLg4SdLZs2dVp04dZc2aVd9++63279+vOXPmKCQkRFeuXLnLNQcAAAAApBeXbhnm6+srb29vSVJgYKDsdrtOnTrlmJ4rVy4dPXo0fSp0kwwZMqhLly6aO3euhg0b5jRt9uzZqlSpkooXL+4Yt2LFCpUtW1a5cuVyjJszZ46aNGmiZ599VpUrV9bEiROVMWPG2y7XbrcrKChIkpQ7d26VLVtWlStXVp06dTR37lz17NlTmzZtUlRUlGbOnOn40SN//vyqVatWeq0+AAAAACAduLSn+5FHHtFvv/3meFy6dGl98skniouL0/Xr1/XZZ58pb9686Vaku/To0UOHDh3Shg0bHONiYmK0ePFip73ckrR8+XI1b97c8dgYozlz5qhz584qUqSIChUqpMWLF7tUR+3atVWqVCktWbJEkhQUFKS4uDgtXbpUxphU9xMbG6vo6GinAQAAAABgHZdC95NPPqlly5YpNjZWkvTKK68oIiJCgYGBypEjh3788UcNGTIkXQtND998840yZ87sNDRq1CjF9sWKFVPlypWdDg1ftGiRjDFq3769Y1xsbKxWr16tZs2aOcatWbNGV69eVYMGDSRJnTt31qxZs1yuvUiRIjp27JgkqXLlyho2bJg6duyo7Nmzq1GjRnrnnXd0+vTp2/YxduxYBQQEOIbQ0FCX6wEAAAAA3JlLoXvQoEE6ceKE7Ha7JKlJkyaKiIhQr1699Mwzz2jt2rXq1q1betaZLmrVqqXdu3c7Df++8Nm/Pf3001q8eLEuX74s6Z9Dy9u0aSM/Pz9Hm3Xr1ilnzpxOh5vPnj1b7dq1cxz+3aFDB23atElHjhxxqXZjjGw2m+PxmDFjFBkZqQ8//FDFixfXhx9+qCJFimjv3r0p9jF06FBFRUU5hpMnT7pUCwAAAAAgdVy+T/e/Va9eXZMmTdL48eP/s+cWZ8qUSYUKFXIacufOfdt5EvdoL1q0SIcOHdKmTZuSPbT81r3cFy5c0NKlSzV16lR5eXnJy8tLuXPnVlxcXKovqPZv+/fvT3JF+GzZsqlNmzYaP3689u/fr5CQEI0fPz7FPux2u/z9/Z0GAAAAAIB1XLqQ2sPEz89Pbdq00ezZs3XkyBEVLlxY1atXd0w3xujrr7/W/PnzHeM+/fRT5cmTR1999ZVTX999950mTJig1157TZ6enqmuYd26ddq7d6/69++fYhtvb28VLFiQq5cDAAAAwH9IqkP3rXtyU8Nms2nZsmVpLui/qEePHqpevbr279+vwYMHO03bsWOHrl69qmrVqjnGzZo1S61bt9ajjz7q1DY0NFRDhw7V6tWr9cQTTyS7rNjYWEVGRio+Pl6nT5/W6tWrNXbsWDVp0kRPPfWUpH/OTV+4cKHat2+vwoULO4L/ypUrNWfOnHReewAAAACAq1Idun/55Renc4pTcv36dZ0+fTpVbe8X1apV0yOPPKLDhw87gm+iZcuWqXHjxo5zt3fs2KE9e/ZoxowZSfoJCAhQnTp1NGvWrBRD9+rVqxUcHCwvLy9lyZJFpUqV0uTJk9W1a1d5ePxzNkCxYsXk6+urgQMH6uTJk7Lb7QoPD9fMmTPVpUuXdF57AAAAAICrbCYt95y6jevXr2v69Ol6++23FRkZqRo1amj9+vXp0fV/WsmSJTV8+HC1bdvW3aWkWXR0tAICAlRq4FB52n3cXQ4AAACAh9COMa+6uwSXJOapqKio214v664vpBYbG6v33ntPBQsW1IABA1SkSBGtX7/+oQjcN27cUKtWrW572zEAAAAAwMPL5QupxcbG6sMPP9S4ceN06tQp1axZUwsWLNDjjz+envX9p3l7e2vkyJHuLgMAAAAA8B+V5tAdGxuradOmady4cYqMjFStWrW0cOFCpyt6AwAAAACANITu69eva9q0aXrnnXcUGRmp2rVr6/PPPydsAwAAAACQglSH7vz58+vMmTMqXbq0pk2b5gjbFy5cSHGerFmz3n2FAAAAAADcp1Iduk+fPi1J2rVrl1q2bJmqeeLj412rCgAAAACAB0CqQzcXDAMAAAAAIG0I3QAAAAAAWOSu79MNAAAAAACSR+gGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALJLqq5fjwbXh1SHy9/d3dxkAAAAA8MBxeU93fHy8Fi5cqGeeeUZPPvmk9u7dK0mKiorSkiVLdPr06XQrEgAAAACA+5FLofvSpUuqWrWqOnbsqAULFmj58uU6e/asJClz5sx64YUX9N5776VroQAAAAAA3G9cCt1DhgzRr7/+qm+//VZ//PGHjDGOaZ6enmrdurVWrlyZbkUCAAAAAHA/cil0f/XVV3r++edVr1492Wy2JNMLFy6sY8eO3W1tAAAAAADc11wK3VFRUcqfP3+K02/evKm4uDiXiwIAAAAA4EHgUuguWLCgdu7cmeL07777TsWKFXO5KAAAAAAAHgQuhe6ePXtq9uzZ+vzzzx3nc9tsNsXGxuqVV17R6tWr9cwzz6RroQAAAAAA3G9cuk/3iy++qF9//VUdOnRQYGCgJKljx446f/684uLi9Mwzz6hHjx7pWScAAAAAAPcdm7n10uNptHHjRi1evFiHDh1SQkKCChYsqLZt2+rxxx9PzxphkejoaAUEBCgqKkr+/v7uLgcAAAAA7hupzVN3Fbpxf0vcSIq/PliePnZ3lwMAAADgIbRn0Gh3l+CS1IZulw4vT87Vq1e1cOFCxcbGqnHjxsqXL196dQ0AAAAAwH3JpdDdo0cP/fTTT9q3b58k6caNG6pcubLjcUBAgNatW6cyZcqkX6UAAAAAANxnXLp6+fr169WyZUvH488++0z79u3Tp59+qn379ikoKEijR9+fhwgAAAAAAJBeXArdkZGRCgsLczz+6quvVL58eXXo0EHFihVTr1699NNPP6VXjQAAAAAA3JdcCt2ZMmXSpUuXJElxcXGKiIhQgwYNHNP9/PwUFRWVLgUCAAAAAHC/cumc7rJly2rGjBmqVauWli9frsuXL6tp06aO6UeOHFGuXLnSrUgAAAAAAO5HLoXuMWPGqEGDBipfvryMMWrdurUqVqzomL506VJVrVo13YoEAAAAAOB+5FLoLl++vA4cOKDNmzcrMDBQNWrUcEy7dOmS+vbt6zQOAAAAAICHkcv36c6RI4eaN2+eZHxgYKBefPHFuyoKAAAAAIAHgcuhO9Hly5cVFRWlhISEJNPy5s17t90DAAAAAHDfcjl0T5s2TRMnTtQff/yRYpv4+HhXuwcAAAAA4L7n0i3DPvzwQ/Xr10+FChXSG2+8IWOMXnrpJQ0ZMkRBQUEqVaqUZs2ald61AgAAAABwX3EpdL///vtq0KCBVq1apd69e0uSnnjiCY0ZM0a//fabLl++rPPnz6droQAAAAAA3G9cCt1Hjhxx3Jc7Q4YMkqQbN25IkgICAtSzZ09NnTo1nUr877DZbPrqq6/uqo+aNWvqpZdeSpd6AAAAAAD/bS6F7oCAAMXFxUmS/P395evrq5MnTzqm+/n5KTIyMn0qvIciIyP1/PPPq0CBArLb7QoNDVXTpk21du1ad5cGAAAAALgPuXQhtUcffVR79uxxPK5cubKmTZumxo0bKyEhQdOnT1fhwoXTrch74dixY6pataoCAwP1zjvvqESJErp586a+/fZb9evXTwcOHHB3iZL+uTidzWaTh4dLv5cAAAAAAO4hl5Jb586dtW/fPsXGxkqSRo8erf379ytv3rwKCwvTwYMH9cYbb6RroVbr27evbDabtm3bplatWqlw4cIqXry4BgwYoK1btzranTt3Tk8++aR8fX0VHh6u5cuXO/Xzww8/qGLFirLb7QoODtaQIUMcRwUkJzY2VoMGDVLu3LmVKVMmVapUSREREY7pc+fOVWBgoJYvX65ixYrJbrfrxIkT+vnnn1WvXj1lz55dAQEBqlGjhnbu3JnuzwsAAAAAwHUuhe7u3bvrp59+kt1ulyRVrVpVv/76qyZOnKj33ntPv/zyi5544ol0LdRKFy5c0OrVq9WvXz9lypQpyfTAwEDH36NHj1bbtm31yy+/qHHjxurUqZMuXLggSfrrr7/UuHFjVahQQXv27NG0adM0a9as2/4A8dxzz2nLli1auHChfvnlF7Vp00YNGzbUoUOHHG2uXr2qt99+WzNnztSvv/6qnDlz6vLly+ratas2btyorVu3Kjw8XI0bN9bly5dTXFZsbKyio6OdBgAAAACAdVy+T/e/FShQQC+++GJ6dXdPHT58WMYYFSlS5I5tu3Xrpg4dOkiS3nzzTU2ePFnbtm1Tw4YNNXXqVIWGhmrKlCmy2WwqUqSI/v77bw0ePFivvvpqkkPCT5w4oTlz5ujEiRMKCQmRJA0aNEirV6/WnDlz9Oabb0qSbt68qalTp6pUqVKOeWvXru3U10cffaTAwED98MMPatKkSbK1jx07VqNHj079EwMAAAAAuCt3dWLw1q1bNXbsWPXv39+xZ/bq1avauXOnYmJi0qXAe8EYk+q2JUuWdPydKVMm+fv768yZM5Kk/fv3q0qVKrLZbI42VatWVUxMjP78888kfe3du1fx8fEqXLiwMmfO7Bh++OEHHTlyxNHO29vbabmSdPr0afXq1Uvh4eEKCAiQv7+/YmJidOLEiRRrHzp0qKKiohzDrRe/AwAAAACkP5f2dN+4cUPt27fXsmXLZIyRzWZT06ZNFR4eLg8PD9WvX1/9+/fXK6+8kt71WiI8PFw2my1VF0tLvEVaIpvNpoSEBJeWGxMTI09PT+3YsUOenp5O0zJnzuz4O2PGjE5BXpK6du2q8+fP67333lO+fPlkt9tVpUoVx63bkmO32x2nBAAAAAAArOfSnu4RI0bom2++0bRp03Tw4EGnPcU+Pj5q06aNli1blm5FWi1r1qxq0KCBPvjgA125ciXJ9EuXLqWqn6JFi2rLli1Oz8emTZvk5+enPHnyJGlfpkwZxcfH68yZMypUqJDTEBQUdNtlbdq0SS+88IIaN26s4sWLy26369y5c6mqEwAAAABwb7gUuhcsWKBnn31WvXv3VtasWZNML1q0qP7444+7Lu5e+uCDDxQfH6+KFSvqyy+/1KFDh7R//35NnjxZVapUSVUfffv21cmTJ/X888/rwIEDWrZsmUaOHKkBAwYke4uvwoULq1OnTnrqqae0ZMkSHT16VNu2bdPYsWO1YsWK2y4rPDxcn3zyifbv36+ffvpJnTp1UsaMGV1adwAAAACANVwK3WfOnFGJEiVSnO7p6amrV6+6XJQ7FChQQDt37lStWrU0cOBAPfroo6pXr57Wrl2radOmpaqP3Llza+XKldq2bZtKlSqlPn36qEePHho+fHiK88yZM0dPPfWUBg4cqEceeUQtWrTQzz//rLx58952WbNmzdLFixdVtmxZdenSRS+88IJy5syZpnUGAAAAAFjLZtJyFbH/Ex4erubNm2v8+PE6f/68cuTIoTVr1jiuqN2xY0ft27dPv/zyS7oXjPQTHR2tgIAAFX99sDx9ONcbAAAAwL23Z9D9eYelxDwVFRUlf3//FNu5tKe7Y8eOmj59urZs2eIYl3ihrxkzZmjRokV66qmnXOkaAAAAAIAHhktXL3/llVe0detWPf744ypatKhsNpv69++vCxcu6M8//1Tjxo3Vv3//9K4VAAAAAID7ikt7ur29vbV69WrNmTNHBQoUUJEiRRQbG6uSJUtq7ty5+vrrr5PcAgsAAAAAgIeNS3u6pX8OJ+/cubM6d+6cnvUAAAAAAPDAcDl0/5sxRuvXr1dsbKyqVasmPz+/9OoaAAAAAID7kkuHl7/yyiuqVauW47ExRvXr11e9evX0xBNPqESJEjpy5Ei6FQkAAAAAwP3IpdD95ZdfqmLFio7Hixcv1tq1a/XGG2/om2++UXx8vEaNGpVeNQIAAAAAcF9y6fDyv/76S4UKFXI8XrJkiYoVK6ahQ4dKkp599llNmzYtfSoEAAAAAOA+5dKebi8vL8XGxkr659DytWvXqmHDho7puXLl0rlz59KnQgAAAAAA7lMuhe5HH31U8+fP18WLFzVnzhydP39eTzzxhGP68ePHlT179nQrEgAAAACA+5FLh5e/+uqratq0qSNYV61a1enCaitWrFCFChXSp0IAAAAAAO5TLoXuevXqaefOnfr+++8VGBiodu3aOaZdvHhRjz/+uJo3b55uRQIAAAAAcD9y+T7dxYoVU7FixZKMz5IliyZNmnRXRQEAAAAA8CBwOXTjwbH5hWHy9/d3dxkAAAAA8MBJVej28PCQh4eHrl69Km9vb3l4eMhms912HpvNpri4uHQpEgAAAACA+1GqQverr74qm80mLy8vp8cAAAAAACBlNmOMcXcRcI/o6GgFBAQoKiqKw8sBAAAAIA1Sm6dcuk83AAAAAAC4szRfSC02Nlbz58/Xd999pyNHjujy5cvy8/NToUKF1LBhQ3Xs2FHe3t5W1AoAAAAAwH0lTYeX7927V82bN9fx48dljFFAQIAyZ86smJgYRUVFyWazqUCBAlq+fLmKFi1qZd1IBxxeDgAAAACuSffDy2NiYtSsWTOdPn1aY8aM0cmTJ3Xx4kWnf9944w39/fffatq0qa5cuZIuKwIAAAAAwP0q1aF7zpw5OnHihFasWKEhQ4Yod+7cTtNz586toUOH6uuvv9bRo0c1d+7c9K4VAAAAAID7SqoPL2/YsKFsNptWrVqVqraStHr16rurDpbi8HIAAAAAcE1q81SqL6S2d+9evfDCC6lqW7t2bb333nup7RpuVv/T1+SV0e7uMgAAAAA8hDZ2G+PuEiyV6sPLL1y4oKCgoFS1zZUrly5cuOByUQAAAAAAPAhSHbpjY2OVIUOGVLX18vLSjRs3XC4KAAAAAIAHQZru033s2DHt3Lnzju2OHj3qckEAAAAAADwo0hS6R4wYoREjRtyxnTFGNpvN5aIAAAAAAHgQpDp0z5kzx8o6AAAAAAB44KQ6dHft2tXKOgAAAAAAeOCk+kJqAAAAAAAgbQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhND9LzabTV999VWq248aNUqlS5e2rB4AAAAAwP3roQnd3bp1k81mk81mU4YMGZQrVy7Vq1dPs2fPVkJCgqPdqVOn1KhRo3ta27Fjx2Sz2bR79+57ulwAAAAAgLUemtAtSQ0bNtSpU6d07NgxrVq1SrVq1dKLL76oJk2aKC4uTpIUFBQku93u5koBAAAAAA+Chyp02+12BQUFKXfu3CpbtqyGDRumZcuWadWqVZo7d66kpIeXDx48WIULF5avr68KFCigESNG6ObNm0n6nj59ukJDQ+Xr66u2bdsqKirKafrMmTNVtGhR+fj4qEiRIpo6dapjWv78+SVJZcqUkc1mU82aNVM1340bN/Tcc88pODhYPj4+ypcvn8aOHZsOzxQAAAAAID14ubsAd6tdu7ZKlSqlJUuWqGfPnkmm+/n5ae7cuQoJCdHevXvVq1cv+fn56X//+5+jzeHDh7Vo0SJ9/fXXio6OVo8ePdS3b199+umnkqRPP/1Ur776qqZMmaIyZcpo165d6tWrlzJlyqSuXbtq27ZtqlixotasWaPixYvL29s7VfNNnjxZy5cv16JFi5Q3b16dPHlSJ0+eTHFdY2NjFRsb63gcHR2dXk8jAAAAACAZD33olqQiRYrol19+SXba8OHDHX+HhYVp0KBBWrhwoVPovn79uubNm6fcuXNLkt5//3098cQTmjBhgoKCgjRy5EhNmDBBLVu2lPTPnu3ffvtN06dPV9euXZUjRw5JUrZs2RQUFOTo907znThxQuHh4apWrZpsNpvy5ct32/UcO3asRo8e7cIzBAAAAABwBaFbkjFGNpst2Wmff/65Jk+erCNHjigmJkZxcXHy9/d3apM3b15H4JakKlWqKCEhQQcPHpSfn5+OHDmiHj16qFevXo42cXFxCggISLGmK1eu3HG+bt26qV69enrkkUfUsGFDNWnSRPXr10+xz6FDh2rAgAGOx9HR0QoNDU2xPQAAAADg7hC6Je3fv99xXvWttmzZok6dOmn06NFq0KCBAgICtHDhQk2YMCHVfcfExEiSZsyYoUqVKjlN8/T0vKv5ypYtq6NHj2rVqlVas2aN2rZtq7p162rx4sXJ9mm327lIHAAAAADcQw996F63bp327t2r/v37J5m2efNm5cuXT6+88opj3PHjx5O0O3HihP7++2+FhIRIkrZu3SoPDw898sgjypUrl0JCQvTHH3+oU6dOydaQeA53fHy8Y1xq5pMkf39/tWvXTu3atVPr1q3VsGFDXbhwQVmzZk3dEwAAAAAAsMxDFbpjY2MVGRmp+Ph4nT59WqtXr9bYsWPVpEkTPfXUU0nah4eH68SJE1q4cKEqVKigFStWaOnSpUna+fj4qGvXrho/fryio6P1wgsvqG3bto7zs0ePHq0XXnhBAQEBatiwoWJjY7V9+3ZdvHhRAwYMUM6cOZUxY0atXr1aefLkkY+PjwICAu4438SJExUcHKwyZcrIw8NDX3zxhYKCghQYGGj1UwkAAAAASIWH6pZhq1evVnBwsMLCwtSwYUOtX79ekydP1rJly5I91LtZs2bq37+/nnvuOZUuXVqbN2/WiBEjkrQrVKiQWrZsqcaNG6t+/foqWbKk0629evbsqZkzZ2rOnDkqUaKEatSooblz5zoOaffy8tLkyZM1ffp0hYSEqHnz5qmaz8/PT+PGjVP58uVVoUIFHTt2TCtXrpSHx0P1sgIAAADAf5bNGGPcXQTcIzo6WgEBAao0daC8MnKuNwAAAIB7b2O3Me4uwSWJeSoqKirJxbZvxS5RAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAs4uXuAuB+33V6Vf7+/u4uAwAAAAAeOOzpBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAiXu4uAO737PdD5e1rd3cZAAAAAB5CcxpNdHcJlmJPNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXTfQWRkpJ5//nkVKFBAdrtdoaGhatq0qdauXevu0gAAAAAA/3Fe7i7gv+zYsWOqWrWqAgMD9c4776hEiRK6efOmvv32W/Xr108HDhxwd4nJunHjhry9vd1dBgAAAAA89NjTfRt9+/aVzWbTtm3b1KpVKxUuXFjFixfXgAEDtHXrVknSxIkTVaJECWXKlEmhoaHq27evYmJiHH3MnTtXgYGB+vbbb1W0aFFlzpxZDRs21KlTp5yWNXv2bBUvXlx2u13BwcF67rnnHNMuXbqknj17KkeOHPL391ft2rW1Z88ex/RRo0apdOnSmjlzpvLnzy8fHx+LnxkAAAAAQGoQulNw4cIFrV69Wv369VOmTJmSTA8MDJQkeXh4aPLkyfr111/18ccfa926dfrf//7n1Pbq1asaP368PvnkE23YsEEnTpzQoEGDHNOnTZumfv36qXfv3tq7d6+WL1+uQoUKOaa3adNGZ86c0apVq7Rjxw6VLVtWderU0YULFxxtDh8+rC+//FJLlizR7t27k12n2NhYRUdHOw0AAAAAAOtweHkKDh8+LGOMihQpctt2L730kuPvsLAwvfHGG+rTp4+mTp3qGH/z5k19+OGHKliwoCTpueee02uvveaY/sYbb2jgwIF68cUXHeMqVKggSdq4caO2bdumM2fOyG63S5LGjx+vr776SosXL1bv3r0l/XNI+bx585QjR44Uax07dqxGjx6dymcAAAAAAHC32NOdAmNMqtqtWbNGderUUe7cueXn56cuXbro/Pnzunr1qqONr6+vI3BLUnBwsM6cOSNJOnPmjP7++2/VqVMn2f737NmjmJgYZcuWTZkzZ3YMR48e1ZEjRxzt8uXLd9vALUlDhw5VVFSUYzh58mSq1hEAAAAA4Br2dKcgPDxcNpvtthdLO3bsmJo0aaJnn31WY8aMUdasWbVx40b16NFDN27ckK+vryQpQ4YMTvPZbDZHqM+YMeNt64iJiVFwcLAiIiKSTEs8xF1SsofA/5vdbnfsLQcAAAAAWI893SnImjWrGjRooA8++EBXrlxJMv3SpUvasWOHEhISNGHCBFWuXFmFCxfW33//nabl+Pn5KSwsLMVbkJUtW1aRkZHy8vJSoUKFnIbs2bO7tG4AAAAAgHuD0H0bH3zwgeLj41WxYkV9+eWXOnTokPbv36/JkyerSpUqKlSokG7evKn3339ff/zxhz755BN9+OGHaV7OqFGjNGHCBE2ePFmHDh3Szp079f7770uS6tatqypVqqhFixb67rvvdOzYMW3evFmvvPKKtm/fnt6rDAAAAABIR4Tu2yhQoIB27typWrVqaeDAgXr00UdVr149rV27VtOmTVOpUqU0ceJEvf3223r00Uf16aefauzYsWleTteuXfXuu+9q6tSpKl68uJo0aaJDhw5J+udQ9JUrV+rxxx9X9+7dVbhwYbVv317Hjx9Xrly50nuVAQAAAADpyGZSe8UwPHCio6MVEBCgjov7ytuXc70BAAAA3HtzGk10dwkuScxTUVFR8vf3T7Ede7oBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALAIoRsAAAAAAIsQugEAAAAAsAihGwAAAAAAixC6AQAAAACwCKEbAAAAAACLELoBAAAAALCIl7sLgPtNqzdW/v7+7i4DAAAAAB447OkGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCJe7i4A7jdpSy/5ZMrg7jIAAAAAPGQGV5vv7hIsx55uAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQuj+j4iIiJDNZtOlS5ckSXPnzlVgYKBbawIAAAAA3B1C9z2QGKhTGmrVqqXHHntMp06dUkBAgLvLBQAAAACkEy93F/AwSAzU/7Z8+XL16dNHffv2lbe3t4KCgtxQHQAAAADAKuzpvgcSA/Wtw8WLFzVo0CANGzZMbdq0SXJ4+b+dPXtW5cuX15NPPqnY2FgdOXJEzZs3V65cuZQ5c2ZVqFBBa9asubcrBgAAAAC4LUK3G1y6dEnNmzdXzZo19frrr9+x/cmTJ1W9enU9+uijWrx4sex2u2JiYtS4cWOtXbtWu3btUsOGDdW0aVOdOHHiHqwBAAAAACA1CN33WEJCgjp27CgvLy99+umnstlst21/8OBBVa1aVQ0aNNCcOXPk6ekpSSpVqpSeeeYZPfroowoPD9frr7+uggULavny5Sn2FRsbq+joaKcBAAAAAGAdQvc9NmzYMG3ZskXLli2Tn5/fbdteu3ZN1atXV8uWLfXee+85BfSYmBgNGjRIRYsWVWBgoDJnzqz9+/ffdk/32LFjFRAQ4BhCQ0PTbb0AAAAAAEkRuu+hhQsXavz48Vq4cKHCw8Pv2N5ut6tu3br65ptv9NdffzlNGzRokJYuXao333xTP/74o3bv3q0SJUroxo0bKfY3dOhQRUVFOYaTJ0/e9ToBAAAAAFLG1cvvkd27d6tHjx5666231KBBg1TN4+HhoU8++UQdO3ZUrVq1FBERoZCQEEnSpk2b1K1bNz355JOS/tnzfezYsdv2Z7fbZbfb72o9AAAAAACpx57ue+DcuXNq0aKFatasqc6dOysyMtJpOHv2bIrzenp66tNPP1WpUqVUu3ZtRUZGSpLCw8O1ZMkS7d69W3v27FHHjh2VkJBwr1YJAAAAAJAKhO57YMWKFTp+/LhWrlyp4ODgJEOFChVuO7+Xl5cWLFig4sWLq3bt2jpz5owmTpyoLFmy6LHHHlPTpk3VoEEDlS1b9h6tEQAAAAAgNWzGGOPuIuAe0dHRCggI0KjVbeWTKYO7ywEAAADwkBlcbb67S3BZYp6KioqSv79/iu3Y0w0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWMTL3QXA/fpXmSF/f393lwEAAAAADxz2dAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgEUI3AAAAAAAWIXQDAAAAAGARQjcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0AwAAAABgES93FwD3W7W9vnwzsSkAAAAAuLeaVtro7hIsx55uAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAs8sCE7m7duqlFixbuLiNZc+fOVWBgYLr1FxYWpnfffTfd+gMAAAAAWOM/E7ptNttth1GjRrm7xP+Mn3/+Wb1793Z3GQAAAACAO/BydwGJTp065fj7888/16uvvqqDBw86xmXOnPme12SMUXx8vLy8/jNPkyQpR44c7i4BAAAAAJAK/5k93UFBQY4hICBANpvN8fjDDz9UtWrVnNq/++67CgsLS9LP6NGjlSNHDvn7+6tPnz66ceOGY1pCQoLGjh2r/PnzK2PGjCpVqpQWL17smB4RESGbzaZVq1apXLlystvt2rhxoxISEjRu3DgVKlRIdrtdefPm1ZgxY5zmuXTpkqOf3bt3y2az6dixYymu77Rp01SwYEF5e3vrkUce0SeffOKYZozRqFGjlDdvXtntdoWEhOiFF15wTL/18PI7tQUAAAAAuM9/axfuXVq7dq18fHwUERGhY8eOqXv37sqWLZsjII8dO1bz58/Xhx9+qPDwcG3YsEGdO3dWjhw5VKNGDUc/Q4YM0fjx41WgQAFlyZJFQ4cO1YwZMzRp0iRVq1ZNp06d0oEDB1yuc+nSpXrxxRf17rvvqm7duvrmm2/UvXt35cmTR7Vq1dKXX36pSZMmaeHChSpevLgiIyO1Z8+eZPtKS1sAAAAAwL31QIVub29vzZ49W76+vipevLhee+01vfzyy3r99dd18+ZNvfnmm1qzZo2qVKkiSSpQoIA2btyo6dOnO4Xu1157TfXq1ZMkXb58We+9956mTJmirl27SpIKFiyYZM97WowfP17dunVT3759JUkDBgzQ1q1bNX78eNWqVUsnTpxQUFCQ6tatqwwZMihv3ryqWLFisn2lpW1sbKxiY2Mdj6Ojo11eBwAAAADAnf1nDi9PD6VKlZKvr6/jcZUqVRQTE6OTJ0/q8OHDunr1qurVq6fMmTM7hnnz5unIkSNO/ZQvX97x9/79+xUbG6s6deqkW5379+9X1apVncZVrVpV+/fvlyS1adNG165dU4ECBdSrVy8tXbpUcXFxyfaVlrZjx45VQECAYwgNDU23dQIAAAAAJHVfhG4PDw8ZY5zG3bx5M019xMTESJJWrFih3bt3O4bffvvN6bxuScqUKZPj74wZM96xNklO9aW1tn8LDQ3VwYMHNXXqVGXMmFF9+/bV448/nmy/aWk7dOhQRUVFOYaTJ0/eVZ0AAAAAgNu7L0J3jhw5FBkZ6RRsd+/enaTdnj17dO3aNcfjrVu3KnPmzAoNDVWxYsVkt9t14sQJFSpUyGm43R7f8PBwZcyYUWvXrk2xNsn56uvJ1XarokWLatOmTU7jNm3apGLFijkeZ8yYUU2bNtXkyZMVERGhLVu2aO/evcn2l9q2drtd/v7+TgMAAAAAwDr3xTndNWvW1NmzZzVu3Di1bt1aq1ev1qpVq5KExhs3bqhHjx4aPny4jh07ppEjR+q5556Th4eH/Pz8NGjQIPXv318JCQmqVq2aoqKitGnTJvn7+zvO1/43Hx8fDR48WP/73//k7e2tqlWr6uzZs/r111/Vo0cPR2gfNWqUxowZo99//10TJky47fq8/PLLatu2rcqUKaO6devq66+/1pIlS7RmzRpJ0ty5cxUfH69KlSrJ19dX8+fPV8aMGZUvX74kfaWlLQAAAADg3rov9nQXLVpUU6dO1QcffKBSpUpp27ZtGjRoUJJ2derUUXh4uB5//HG1a9dOzZo106hRoxzTX3/9dY0YMUJjx45V0aJF1bBhQ61YsUL58+e/7fJHjBihgQMH6tVXX1XRokXVrl07nTlzRpKUIUMGLViwQAcOHFDJkiX19ttv64033rhtfy1atNB7772n8ePHq3jx4po+fbrmzJmjmjVrSpICAwM1Y8YMVa1aVSVLltSaNWv09ddfK1u2bEn6SktbAAAAAMC9ZTP/PlkaD43o6GgFBARo4dpK8s10Xxz0AAAAAOAB0rTSRneX4LLEPBUVFXXbU3fviz3dAAAAAADcjwjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYhNANAAAAAIBFCN0AAAAAAFiE0A0AAAAAgEUI3QAAAAAAWITQDQAAAACARQjdAAAAAABYxMvdBcD9GpX/Tv7+/u4uAwAAAAAeOOzpBgAAAADAIoRuAAAAAAAsQugGAAAAAMAinNP9EDPGSJKio6PdXAkAAAAA3F8Sc1RirkoJofshdv78eUlSaGiomysBAAAAgPvT5cuXFRAQkOJ0QvdDLGvWrJKkEydO3HYjwYMrOjpaoaGhOnnyJFewfwjx+j/ceP3BNvBw4/UH28DdM8bo8uXLCgkJuW07QvdDzMPjn1P6AwICeKM95Pz9/dkGHmK8/g83Xn+wDTzceP3BNnB3UrPzkgupAQAAAABgEUI3AAAAAAAWIXQ/xOx2u0aOHCm73e7uUuAmbAMPN17/hxuvP9gGHm68/mAbuHds5k7XNwcAAAAAAC5hTzcAAAAAABYhdAMAAAAAYBFCNwAAAAAAFiF0P+A++OADhYWFycfHR5UqVdK2bdtu2/6LL75QkSJF5OPjoxIlSmjlypX3qFJYJS3bwIwZM1S9enVlyZJFWbJkUd26de+4zeC/La2fAYkWLlwom82mFi1aWFsgLJXW1//SpUvq16+fgoODZbfbVbhwYf4fuM+ldRt499139cgjjyhjxowKDQ1V//79df369XtULdLThg0b1LRpU4WEhMhms+mrr7664zwREREqW7as7Ha7ChUqpLlz51peJ6yR1td/yZIlqlevnnLkyCF/f39VqVJF33777b0p9iFA6H6Aff755xowYIBGjhypnTt3qlSpUmrQoIHOnDmTbPvNmzerQ4cO6tGjh3bt2qUWLVqoRYsW2rdv3z2uHOklrdtARESEOnTooPXr12vLli0KDQ1V/fr19ddff93jypEe0vr6Jzp27JgGDRqk6tWr36NKYYW0vv43btxQvXr1dOzYMS1evFgHDx7UjBkzlDt37ntcOdJLWreBzz77TEOGDNHIkSO1f/9+zZo1S59//rmGDRt2jytHerhy5YpKlSqlDz74IFXtjx49qieeeEK1atXS7t279dJLL6lnz54Er/tUWl//DRs2qF69elq5cqV27NihWrVqqWnTptq1a5fFlT4kDB5YFStWNP369XM8jo+PNyEhIWbs2LHJtm/btq154oknnMZVqlTJPPPMM5bWCeukdRv4t7i4OOPn52c+/vhjq0qEhVx5/ePi4sxjjz1mZs6cabp27WqaN29+DyqFFdL6+k+bNs0UKFDA3Lhx416VCIuldRvo16+fqV27ttO4AQMGmKpVq1paJ6wnySxduvS2bf73v/+Z4sWLO41r166dadCggYWV4V5IzeufnGLFipnRo0enf0EPIfZ0P6Bu3LihHTt2qG7duo5xHh4eqlu3rrZs2ZLsPFu2bHFqL0kNGjRIsT3+21zZBv7t6tWrunnzprJmzWpVmbCIq6//a6+9ppw5c6pHjx73okxYxJXXf/ny5apSpYr69eunXLly6dFHH9Wbb76p+Pj4e1U20pEr28Bjjz2mHTt2OA5B/+OPP7Ry5Uo1btz4ntQM9+J7IG6VkJCgy5cv8x0wnXi5uwBY49y5c4qPj1euXLmcxufKlUsHDhxIdp7IyMhk20dGRlpWJ6zjyjbwb4MHD1ZISEiS/4Tx3+fK679x40bNmjVLu3fvvgcVwkquvP5//PGH1q1bp06dOmnlypU6fPiw+vbtq5s3b2rkyJH3omykI1e2gY4dO+rcuXOqVq2ajDGKi4tTnz59OLz8IZHS98Do6Ghdu3ZNGTNmdFNlcIfx48crJiZGbdu2dXcpDwT2dANI1ltvvaWFCxdq6dKl8vHxcXc5sNjly5fVpUsXzZgxQ9mzZ3d3OXCDhIQE5cyZUx999JHKlSundu3a6ZVXXtGHH37o7tJwj0REROjNN9/U1KlTtXPnTi1ZskQrVqzQ66+/7u7SANxDn332mUaPHq1FixYpZ86c7i7ngcCe7gdU9uzZ5enpqdOnTzuNP336tIKCgpKdJygoKE3t8d/myjaQaPz48Xrrrbe0Zs0alSxZ0soyYZG0vv5HjhzRsWPH1LRpU8e4hIQESZKXl5cOHjyoggULWls00o0r7//g4GBlyJBBnp6ejnFFixZVZGSkbty4IW9vb0trRvpyZRsYMWKEunTpop49e0qSSpQooStXrqh379565ZVX5OHBvpoHWUrfA/39/dnL/RBZuHChevbsqS+++IIjHdMRn54PKG9vb5UrV05r1651jEtISNDatWtVpUqVZOepUqWKU3tJ+v7771Nsj/82V7YBSRo3bpxef/11rV69WuXLl78XpcICaX39ixQpor1792r37t2OoVmzZo6r2IaGht7L8nGXXHn/V61aVYcPH3b82CJJv//+u4KDgwnc9yFXtoGrV68mCdaJP8IYY6wrFv8JfA/EggUL1L17dy1YsEBPPPGEu8t5sLj7Sm6wzsKFC43dbjdz5841v/32m+ndu7cJDAw0kZGRxhhjunTpYoYMGeJov2nTJuPl5WXGjx9v9u/fb0aOHGkyZMhg9u7d665VwF1K6zbw1ltvGW9vb7N48WJz6tQpx3D58mV3rQLuQlpf/3/j6uX3t7S+/idOnDB+fn7mueeeMwcPHjTffPONyZkzp3njjTfctQq4S2ndBkaOHGn8/PzMggULzB9//GG+++47U7BgQdO2bVt3rQLuwuXLl82uXbvMrl27jCQzceJEs2vXLnP8+HFjjDFDhgwxXbp0cbT/448/jK+vr3n55ZfN/v37zQcffGA8PT3N6tWr3bUKuAtpff0//fRT4+XlZT744AOn74CXLl1y1yo8UAjdD7j333/f5M2b13h7e5uKFSuarVu3OqbVqFHDdO3a1an9okWLTOHChY23t7cpXry4WbFixT2uGOktLdtAvnz5jKQkw8iRI+994UgXaf0MuBWh+/6X1td/8+bNplKlSsZut5sCBQqYMWPGmLi4uHtcNdJTWraBmzdvmlGjRpmCBQsaHx8fExoaavr27WsuXrx47wvHXVu/fn2y/6cnvuZdu3Y1NWrUSDJP6dKljbe3tylQoICZM2fOPa8b6SOtr3+NGjVu2x53x2YMxwsBAAAAAGAFzukGAAAAAMAihG4AAAAAACxC6AYAAAAAwCKEbgAAAAAALELoBgAAAADAIoRuAAAAAAAsQugGAAAAAMAihG4AAAAAACxC6AYA3DMRERGy2WyKiIhwdylut2jRImXNmlUxMTF31Y/NZtOoUaPSp6h/6datmzJnzuxSHXPnzpXNZtOxY8cc42rWrKmaNWumb5EWGTVqlGw2m9O4sLAwdevWzT0F3YXkXgtXpfQe/uSTT1SkSBFlyJBBgYGBd72c+82HH36ovHnzKjY21t2lALjFhg0b1LRpU4WEhMhms+mrr75Kcx/ffvutKleuLD8/P+XIkUOtWrVK8+cpoRsAHnA2my1VQ2qC8JtvvunSf1hplRgSEgcfHx+FhISoQYMGmjx5si5fvnzb+StWrCibzaZp06bdtv/t27c7jW/UqJGyZMmi06dPJ5knKipKwcHBqlSpkhISElxfOUnx8fEaOXKknn/+eadQGxYW5lhnDw8PBQYGqkSJEurdu7d++umnu1rmf9Hff/+tUaNGaffu3ZYt43//+59sNpvatWtn2TLSw9WrVzVq1Ci3/iCV+EPDuXPn0jTfgQMH1K1bNxUsWFAzZszQRx99dFd19OnTR97e3tq3b1+SaXFxcSpZsqTCwsJ05cqVu1pOeurWrZtu3Lih6dOnu7sUALe4cuWKSpUqpQ8++MCl+Y8eParmzZurdu3a2r17t7799ludO3dOLVu2TFM/Xi4tHQBw3/jkk0+cHs+bN0/ff/99kvFFixa9Y19vvvmmWrdurRYtWqRniSl67bXXlD9/ft28eVORkZGKiIjQSy+9pIkTJ2r58uUqWbJkknkOHTqkn3/+WWFhYfr000/17LPPpnp5U6dO1aOPPqr+/fvrs88+c5o2bNgwnTt3TqtXr5aHx939Zv3111/r4MGD6t27d5JppUuX1sCBAyVJly9f1v79+/XFF19oxowZ6t+/vyZOnOjU/tq1a/Lycv9/56mp47vvvnN6/Pfff2v06NEKCwtT6dKl070mY4wWLFigsLAwff3117p8+bL8/Pxc7u/gwYN3/dqn5OrVqxo9erQk/aePBnj88cd17do1eXt7O8ZFREQoISFB7733ngoVKnTXy3jrrbe0bNky9enTRz/++KPTEQeTJk3S3r17tWLFCmXKlOmul5VefHx81LVrV02cOFHPP/98kqMkALhHo0aN1KhRoxSnx8bG6pVXXtGCBQt06dIlPfroo3r77bcdn8M7duxQfHy83njjDcfn/6BBg9S8eXPdvHlTGTJkSFUd7v9fGgBgqc6dOzs93rp1q77//vsk4/+LGjVqpPLlyzseDx06VOvWrVOTJk3UrFkz7d+/XxkzZnSaZ/78+cqZM6cmTJig1q1b69ixYwoLC0vV8vLnz6+RI0dq8ODB6tatm+rXry9J+vnnn/Xhhx9q0KBBKlWq1F2v15w5c1S1alXlzp07ybTcuXMneW3efvttdezYUZMmTVJ4eLjTDwk+Pj53XU96SE0dtwa1eyHi/7V3p1FRHWkfwP/YQgONgEAjIUKriAu4BBfABREXWoVEiYRlHEVUHBdUjGF0zAiCEsc9Ho27tkra0cgSjEZEjsRMJoogRh2RRBRBmQgooCACAs/7wdP30DargZh5fX7n3A9U161bde/t1rq3qp7vvsODBw9w/vx5yOVyxMXFISAg4LXLE4vFbVi7/00dOnTQuNaFhYUA0GbDyo2NjbFt2zb4+vpi3759wsOpvLw8REREwMfHB5MmTWqTYzWlpqYGdXV1Lb5vfXx8sGHDBqSkpGDMmDHtXDvGWFsIDg5GZmYmjh07BktLS8THx2PChAm4ceMGbG1tMXjwYHTo0AEKhQIzZ85EeXk5oqOjMW7cuBZ3uAEeXs4YYwwvh18tW7YMVlZWEIvF6N27NzZt2gQiEvJoaWnh2bNnOHz4sDAEWjW/NTc3FwsWLEDv3r2hp6cHU1NTfPTRR20yh/RVY8aMwapVq5Cbm4svv/xS4/OjR4/C29sbnp6eMDIy0nhj3ZyPP/4YAwYMwIIFC1BZWYna2lrMmzcPMpkM4eHhQr4XL14gIiICtra20NXVhampKUaOHIlz5841WX5lZSUSExMxbty4FtdJT08P0dHRMDExQVRUlMZ1qT+XuqysDCEhIejWrRvEYjHMzc0xfvx4ZGRkCHn+9a9/4aOPPoK1tTXEYjGsrKywdOlSPH/+vMHj3717F3K5HBKJBJaWloiMjFSrQ0P1aEj9Od3fffcdhg4dCgAIDAwU7qlDhw4hPDwc2traKCoq0ihj7ty5MDY2RmVlZZPHAgClUgk7Ozu4ublh3LhxUCqVDeb74YcfMHToUOjq6sLGxqbRIcKvzuluaN430PAc6vT0dMjlcpiZmUFPTw/du3fHrFmzAAD37t2DVCoFAERERAjnov75zMrKgre3N0xMTKCrq4shQ4bg5MmTGse+efMmxowZAz09PXTt2hVr1679zdMh6nt1Tne3bt2E74VUKtWo95kzZ+Di4gKJRIJOnTrBw8MDN2/ebPY4qo71ihUrhE79okWLoK2tjW3btgEA8vPzMWvWLHTp0gVisRj29vY4ePCgWjnV1dUICwvD4MGDYWRkBIlEAhcXF6SkpKjlu3fvHrS0tLBp0yZ8/vnnsLGxgVgsRmZmJgBg+/btsLe3h76+Pjp37owhQ4Zo/LYMHjwYJiYmSEhIaPkJZYy9MXl5eVAoFDhx4gRcXFxgY2ODTz75BCNHjoRCoQDw8mF8UlISVq5cCbFYDGNjYzx48ABfffVVq47Fb7oZY+wtR0T44IMPkJKSgtmzZ+O9997D2bNnERoaivz8fGzduhXAy2Hqc+bMgaOjo/DmycbGBsDLN8E//vgj/Pz80LVrV9y7dw+7du3C6NGjkZmZCX19/Tat8/Tp07Fy5UokJSUhKChISE9NTUV2djYUCgV0dHTw4YcfQqlUYuXKlS0uu2PHjti7dy+GDx+ONWvWwNzcHBkZGUhMTFRrx+rVq7Fu3TrhnDx9+hTp6enIyMjA+PHjGy3/ypUrqK6uxqBBg1rVZgMDA3h5eeHAgQPIzMyEvb19g/nmzZuHmJgYBAcHw87ODo8fP8YPP/yAW7duCcc8ceIEKioqMH/+fJiamuLy5cvYvn07Hjx4gBMnTqiVV1tbiwkTJsDZ2RkbNmxAYmIiwsPDUVNTg8jIyFa1ob6+ffsiMjISYWFhmDt3LlxcXAAAw4cPx8iRIxEZGYnjx48jODhY2Ke6uhoxMTGYOnVqs2/Wq6qqEBsbKwzV9/f3R2BgIB4+fAgLCwsh340bN+Du7g6pVIrVq1ejpqYG4eHh6NKly2u37VWFhYXCMVasWAFjY2Pcu3cPcXFxAF52Vnft2oX58+fDy8tLmCuomj5x8+ZNYWTEihUrIJFI8NVXX2HKlCmIjY2Fl5cXAODhw4dwc3NDTU2NkG/v3r0ao0Ha0ueff44jR44gPj4eu3btgoGBgVDv6OhoBAQEQC6XY/369aioqMCuXbswcuRIXL16tdkRKDt37oS9vT2WLl0KHx8fnDx5Ert374aFhQUKCgrg7OwMLS0tBAcHQyqV4syZM5g9ezaePn2KkJAQAMDTp0+xf/9++Pv7IygoCGVlZThw4ADkcjkuX76sMa1BoVCgsrISc+fOhVgshomJCfbt24fFixfD29sbS5YsQWVlJa5fv47U1FT86U9/Utt/0KBB+Pe//91Wp5cx1o5u3LiB2tpa9OrVSy29qqoKpqamAF7+rgYFBSEgIAD+/v4oKytDWFgYvL29ce7cuZZPJSHGGGNvlYULF1L9n/+vv/6aANDatWvV8nl7e5OWlhZlZ2cLaRKJhAICAjTKrKio0Ei7ePEiAaAjR44IaSkpKQSAUlJSmqyjQqEgAJSWltZoHiMjI3JwcFBLCw4OJisrK6qrqyMioqSkJAJAV69ebXX5wcHBpK2tTQYGBuTv76/x+cCBA8nDw6PJdjRk//79BIBu3Lih8ZlMJmuyzK1btxIASkhIENIAUHh4uPC3kZERLVy4sMk6NHS91q1bR1paWpSbmyukBQQEEABatGiRkFZXV0ceHh6ko6NDRUVFjdZDdY5zcnKENFdXV3J1dRX+TktLIwCkUCg06jNs2DBycnJSS4uLi2vR/UNEFBMTQwDo9u3bRET09OlT0tXVpa1bt6rlmzJlCunq6qq1OzMzk0QiEb363ySZTKZ2/4eHh2vkIdJse3x8fLP3W1FRkcY5VBk7diz179+fKisrhbS6ujoaPnw42draCmkhISEEgFJTU4W0wsJCMjIy0rgWDVG1p/51fVVD3+GG9isrKyNjY2MKCgpS2//hw4dkZGSkkd6YTZs2EQAyMTGhESNGCN/t2bNn0zvvvEOPHj1Sy+/n50dGRkbCPV5TU0NVVVVqeUpKSqhLly40a9YsIS0nJ4cAkKGhIRUWFqrlnzx5Mtnb27eovnPnziU9Pb0W5WWM/b4AUHx8vPD3sWPHSCQSUVZWFt2+fVtt+/XXX4mI6O9//zsNGTJErZz79+8TALp48WKLj83Dyxlj7C337bffQiQSYfHixWrpy5YtAxHhzJkzzZZR/03aixcv8PjxY/Ts2RPGxsZqw5rbkoGBgdoq5jU1NTh+/Dh8fX2FJ89jxoyBubl5o8OKmxIVFQVTU1N06NBBeNtfn7GxMW7evInbt2+3qtzHjx8DADp37tzqOqlWOm9q9XZjY2Okpqbiv//9b6N56l+vZ8+e4dGjRxg+fDiICFevXtXIX/9ts+rNYnV1NZKTk1vdhpaaMWMGUlNTcefOHSFNqVTCysoKrq6uze6vVCoxZMgQYWEv1dDm+vdCbW0tzp49iylTpsDa2lpI79u3L+RyeZu1RTXX+dSpU3jx4kWr9i0uLsb58+fh4+ODsrIyPHr0CI8ePcLjx48hl8tx+/Zt5OfnA3j5XXZ2doajo6Owv1QqxbRp09qsLS117tw5lJaWwt/fX6jzo0ePIBKJ4OTkpDG8uzEhISEYMGAASktLsWfPHmhpaYGIEBsbi/fffx9EpFa+XC7HkydPhN8dkUgkzMmuq6tDcXExampqMGTIkAZ/m6ZOnSoM9VdRDSdNS0trtr6dO3fG8+fPUVFR0aL2McbeHAcHB9TW1qKwsBA9e/ZU21QjoioqKjQW0BSJRADQqqk73OlmjLG3XG5uLiwtLTVWdVatZp6bm9tsGc+fP0dYWJgwJ9zMzAxSqRSlpaV48uRJu9S7vLxcrc5JSUkoKiqCo6MjsrOzkZ2djZycHLi5ueGf//xnq+e1Ghoaonfv3rCysmpwqHFkZCRKS0vRq1cv9O/fH6Ghobh+/XqLy6dX5kS3hCqmd1MrcG/YsAH/+c9/YGVlBUdHR6xevRp3795Vy5OXl4eZM2fCxMQEBgYGkEqlQkf21evVoUMH9OjRQy1NNRSvPebsq/j6+kIsFgud5CdPnuDUqVOYNm2a8FClqKgIDx8+FDbV+SktLcW3334LV1dX4V7Izs7GiBEjkJ6ejl9++UXY//nz57C1tdU4fu/evdusLa6urpg6dSoiIiJgZmaGyZMnQ6FQtCimc3Z2NogIq1atglQqVdtUc6lVc55zc3PbvS0tpXoYNWbMGI16JyUlCXVujkgkgoODA/T09IQpFUVFRSgtLcXevXs1yg4MDAQAtfIPHz6MAQMGCGsvSKVSnD59usHfpu7du2ukLV++HAYGBnB0dIStrS0WLlzY6BBy1feaVy9n7I+hvLwcP/30kxCaMicnBz/99BPy8vLQq1cvTJs2DTNmzEBcXBxycnJw+fJlrFu3DqdPnwYAeHh4IC0tDZGRkbh9+zYyMjIQGBgImUwGBweHFteD53Qzxhj7zRYtWgSFQoGQkBAMGzYMRkZG0NLSgp+fX5su4qTy4MEDPHnyRC08kapz5uPj0+A+Fy5cgJubW5vVYdSoUbhz5w4SEhKQlJSE/fv3Y+vWrdi9ezfmzJnT6H6qeWIlJSXo2rVrq46pilvcVFgmHx8fuLi4ID4+HklJSdi4cSPWr1+PuLg4TJw4EbW1tRg/fjyKi4uxfPly9OnTBxKJBPn5+Zg5c2a7XK/X0blzZ3h6ekKpVCIsLAwxMTGoqqpSW9l96NChag+FwsPDsXr1apw4cQJVVVXYvHkzNm/erFG2UqkUwnP9Fo11rGprazXyxcTE4NKlS/jmm29w9uxZzJo1C5s3b8alS5fUYrW/SnU9Pvnkk0bfvrdFmK62pqp3dHS02hx6ld8S5k5V9p///OdGV6NXzSv/8ssvMXPmTEyZMgWhoaEwNzeHSCTCunXr1EZRqDQ0/71v3774+eefcerUKSQmJiI2NhY7d+5EWFiYxn1UUlICfX39dp1HzxhrufT0dLV/+z/++GMAQEBAAA4dOgSFQoG1a9di2bJlyM/Ph5mZGZydneHp6Qng5YPDo0ePYsOGDdiwYQP09fUxbNgwJCYmtup7zp1uxhh7y8lkMiQnJ2vEMM7KyhI+V2mskxETE4OAgAC1Dk5lZSVKS0vbpc6qGOOqTsizZ8+QkJAAX19feHt7a+RfvHgxlEplm3a6AcDExASBgYEIDAxEeXk5Ro0ahdWrVzfZ6e7Tpw+Al0/b+/fv3+JjlZeXIz4+HlZWVs3GVH/nnXewYMECLFiwAIWFhRg0aBCioqIwceJE3LhxA7/88gsOHz6MGTNmCPs0tup6XV0d7t69q7bQjOpNcUtDsTWmubeBM2bMwOTJk5GWlgalUgkHBwe1BeSUSqXaiuuqN/JKpRL9+vVTW21eZc+ePTh69CgiIiIglUqhp6fX4BSBn3/+udn6q6YIlJaWqoXLamx0iLOzM5ydnREVFYWjR49i2rRpOHbsGObMmdPouVC1SVtbu9kV72Uy2Wu3pa2pFlk0Nzdv1Ur9LSGVStGpUyfU1tY2W3ZMTAx69OiBuLg4tXPc0L3RFIlEAl9fX/j6+qK6uhoffvghoqKi8Le//U1tUb+cnJxmv5+Msd/P6NGjmxxZpq2tjYiIiCYfxPr5+cHPz+831YOHlzPG2Ftu0qRJqK2txY4dO9TSt27dCi0tLUycOFFIk0gkDXakRSKRxj9q27dv13jj1xbOnz+PNWvWoHv37sJc1fj4eDx79gwLFy6Et7e3xubp6YnY2NgWDedtKdXcbBUDAwP07Nmz2WMMHjwYOjo6SE9Pb/Gxnj9/junTp6O4uBiffvppk29YXx0ya25uDktLS6Feqrlo9a8XEQlhmBpS/94gIuzYsQPa2toYO3Zsi9vQEIlEAgCNPpyZOHEizMzMsH79ely4cEEjfvmIESMwbtw4YevRowfu37+P77//Hj4+Pg3eC4GBgcjOzkZqaipEIhHkcjm+/vpr5OXlCeXeunULZ8+ebbb+qo7l999/L6SpwurVV1JSovH9UK2arbouqpXxXz0X5ubmGD16NPbs2YNff/1Vow71w6pNmjQJly5dwuXLl9U+f501DX4ruVwOQ0NDfPbZZw3OY28oHFxLiUQiTJ06FbGxscLoj8bKbuh+T01NxcWLF1t8vFe/6zo6OrCzswMRabQtIyMDw4cPb3HZjLG3A7/pZoyxt9z7778PNzc3fPrpp7h37x4GDhyIpKQkJCQkICQkROhYAC87jMnJydiyZQssLS3RvXt3ODk5wdPTE9HR0TAyMoKdnR0uXryI5ORkYSj16zpz5gyysrJQU1ODgoICnD9/HufOnYNMJsPJkyeFN0xKpRKmpqaN/mf3gw8+wL59+3D69GkhHBMAHDx4EImJiRr5lyxZ0uS8aQCws7PD6NGjhdi86enpQqiupujq6sLd3R3JyckNhtzKz88X4o+Xl5cjMzMTJ06cwMOHD7Fs2TL85S9/abTssrIydO3aFd7e3hg4cCAMDAyQnJyMtLQ0YRRCnz59hFik+fn5MDQ0RGxsLEpKShqtb2JiIgICAuDk5IQzZ87g9OnTWLlypcaCU61lY2MDY2Nj7N69G506dYJEIoGTk5Mwr1ZbWxt+fn7YsWMHRCIR/P39my3z6NGjQhi8hkyaNAkdO3aEUqmEk5MTIiIikJiYCBcXFyxYsAA1NTVCTObm5ui7u7vD2toas2fPRmhoKEQiEQ4ePAipVKrWiT98+DB27twJLy8v2NjYoKysDPv27YOhoSEmTZoE4OWwZjs7Oxw/fhy9evWCiYkJ+vXrh379+uGLL77AyJEj0b9/fwQFBaFHjx4oKCjAxYsX8eDBA1y7dg0A8Ne//hXR0dGYMGEClixZIoQMk8lkrVpvYMuWLRph/jp06NCq0HuGhobYtWsXpk+fjkGDBsHPz084L6dPn8aIESM0HvS1xj/+8Q+kpKTAyckJQUFBsLOzQ3FxMTIyMpCcnIzi4mIAgKenJ+Li4uDl5QUPDw/k5ORg9+7dsLOzE9YAaI67uzssLCwwYsQIdOnSBbdu3cKOHTvg4eGh9jtx5coVFBcXY/Lkya/dLsbY/1Ovtd46Y4yx/1mvhgwjehneZ+nSpWRpaUna2tpka2tLGzduFMLzqGRlZdGoUaNIT0+PAAjhk0pKSigwMJDMzMzIwMCA5HI5ZWVlaYRYam3IMNWmo6NDFhYWNH78eNq2bRs9ffpUyFtQUEAdO3ak6dOnN1peRUUF6evrk5eXV4Plv7rdv3+fiF6GuGosVNDatWvJ0dGRjI2NSU9Pj/r06UNRUVFUXV3dZNuIXoa+0tLSory8PLV0mUwm1EFLS4sMDQ3J3t6egoKC1MJA1Yd6YaaqqqooNDSUBg4cSJ06dSKJREIDBw6knTt3qu2TmZlJ48aNIwMDAzIzM6OgoCC6du2aRviugIAAkkgkdOfOHXJ3dyd9fX3q0qULhYeHU21tbaP1qH+OmwoZRkSUkJBAdnZ21LFjxwbDh12+fJkAkLu7e+MntJ7+/fuTtbV1k3lGjx5N5ubm9OLFCyIiunDhAg0ePJh0dHSoR48etHv37gbDgb16PxMRXblyhZycnEhHR4esra1py5YtGm3PyMggf39/sra2JrFYTObm5uTp6Unp6elqZf34449CPV49n3fu3KEZM2aQhYUFaWtr07vvvkuenp4UExOjVsb169fJ1dWVdHV16d1336U1a9bQgQMHWhUyrKFNJBIRUctDhqmkpKSQXC4nIyMj0tXVJRsbG5o5c6ZG25uiug9fVVBQQAsXLiQrKyvS1tYmCwsLGjt2LO3du1fIU1dXR5999hnJZDISi8Xk4OBAp06dooCAAJLJZEI+VciwjRs3ahxnz549NGrUKDI1NSWxWEw2NjYUGhpKT548Ucu3fPlysra21vjdZIwxLaLXWD6VMcYYY6+ttrYWdnZ28PHxwZo1a950df7Qrl27hvfeew9HjhzB9OnT32hdrKysIJfLsX///jdaD/bHU1VVhW7dumHFihVYsmTJm64OY+wPhud0M8YYY78zkUiEyMhIfPHFFy0e4vq22rdvHwwMDNSmBbwJqvjzZmZmb7Qe7I9JoVBAW1sb8+bNe9NVYYz9AfGbbsYYY4z94XzzzTfIzMzEqlWrEBwcjC1btryxupw9exbHjh3DoUOHkJSUhPHjx7+xujDGGPvfw51uxhhjjP3hdOvWDQUFBZDL5YiOjm52Ybv25ObmhuzsbMyfP79Vi4kxxhhjAHe6GWOMMcYYY4yxdsNzuhljjDHGGGOMsXbCnW7GGGOMMcYYY6ydcKebMcYYY4wxxhhrJ9zpZowxxhhjjDHG2gl3uhljjDHGGGOMsXbCnW7GGGOMMcYYY6ydcKebMcYYY4wxxhhrJ9zpZowxxhhjjDHG2gl3uhljjDHGGGOMsXbyf4JLENSBgfZDAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ + "# Question 9:\n", "# Which diseases contribute the most to DALYs (Disability-Adjusted Life Years)?\n", "\n", "# Define the query to fetch the top diseases contributing to DALYs\n", @@ -1789,207 +1134,13 @@ "plt.show()\n" ] }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\1696327148.py:20: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_age_gender = pd.read_sql(query_age_gender_disparities, connection)\n" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# 3.\tDemographic Patterns:\n", - "# Which age groups and genders are most affected by high-prevalence infectious diseases?\n", - "# Are there significant disparities?\n", - "\n", - "# Query to analyze the most affected age groups and genders for high-prevalence infectious diseases\n", - "query_age_gender_disparities = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AgeGroup,\n", - " Gender,\n", - " AVG(PrevalenceRate) AS AvgPrevalenceRate,\n", - " MAX(PrevalenceRate) AS MaxPrevalenceRate\n", - "FROM HealthStatistics\n", - "WHERE DiseaseCategory = 'Infectious'\n", - "GROUP BY DiseaseName, AgeGroup, Gender\n", - "ORDER BY AvgPrevalenceRate DESC;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a DataFrame\n", - "df_age_gender = pd.read_sql(query_age_gender_disparities, connection)\n", - "\n", - "# Display the top results\n", - "df_age_gender.head()\n", - "\n", - "# Visualizing disparities by age group and gender\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "plt.figure(figsize=(12, 8))\n", - "sns.barplot(\n", - " data=df_age_gender,\n", - " x=\"AvgPrevalenceRate\",\n", - " y=\"AgeGroup\",\n", - " hue=\"Gender\",\n", - " palette=\"Set2\"\n", - ")\n", - "\n", - "plt.title(\"Age Groups and Genders Most Affected by High-Prevalence Infectious Diseases\", fontsize=16)\n", - "plt.xlabel(\"Average Prevalence Rate (%)\", fontsize=12)\n", - "plt.ylabel(\"Age Group\", fontsize=12)\n", - "plt.legend(title=\"Gender\", loc='upper right')\n", - "plt.tight_layout()\n", - "plt.show()\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\3701994816.py:21: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_below_average = pd.read_sql(query_below_average, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Countries with Healthcare Access and Hospital Beds Below Average:\n", - "+----+--------------+-----------------------+-------------------+\n", - "| | Country | AvgHealthcareAccess | AvgHospitalBeds |\n", - "+====+==============+=======================+===================+\n", - "| 0 | Australia | 74.8807 | 5.22825 |\n", - "+----+--------------+-----------------------+-------------------+\n", - "| 1 | Canada | 74.8993 | 5.23051 |\n", - "+----+--------------+-----------------------+-------------------+\n", - "| 2 | Turkey | 74.9084 | 5.24398 |\n", - "+----+--------------+-----------------------+-------------------+\n", - "| 3 | Saudi Arabia | 74.9332 | 5.23775 |\n", - "+----+--------------+-----------------------+-------------------+\n", - "| 4 | Mexico | 74.9382 | 5.24138 |\n", - "+----+--------------+-----------------------+-------------------+\n", - "| 5 | UK | 74.9667 | 5.23533 |\n", - "+----+--------------+-----------------------+-------------------+\n", - "| 6 | France | 74.9773 | 5.23878 |\n", - "+----+--------------+-----------------------+-------------------+\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# What countries have the lowest access to healthcare?\n", - "\n", - "\n", - "from tabulate import tabulate\n", - "\n", - "# Query to calculate average healthcare access and hospital beds, and filter below average\n", - "query_below_average = \"\"\"\n", - "SELECT\n", - " Country,\n", - " AVG(HealthcareAccess) AS AvgHealthcareAccess,\n", - " AVG(HospitalBedsPer1000) AS AvgHospitalBeds\n", - "FROM HealthStatistics\n", - "GROUP BY Country\n", - "HAVING \n", - " AVG(HealthcareAccess) < (SELECT AVG(HealthcareAccess) FROM HealthStatistics)\n", - " AND AVG(HospitalBedsPer1000) < (SELECT AVG(HospitalBedsPer1000) FROM HealthStatistics)\n", - "ORDER BY AvgHealthcareAccess ASC;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a DataFrame (assuming connection is established)\n", - "df_below_average = pd.read_sql(query_below_average, connection)\n", - "\n", - "# Display the result\n", - "print(\"Countries with Healthcare Access and Hospital Beds Below Average:\")\n", - "print(tabulate(df_below_average, headers='keys', tablefmt='grid'))\n", - "\n", - "# Plotting the results\n", - "plt.figure(figsize=(10, 6))\n", - "plt.barh(df_below_average['Country'], df_below_average['AvgHealthcareAccess'], color='salmon')\n", - "plt.xlabel('Average Healthcare Access (%)', fontsize=12)\n", - "plt.ylabel('Country', fontsize=12)\n", - "plt.title('Countries with Below Average Healthcare Access and Hospital Beds', fontsize=14)\n", - "plt.gca().invert_yaxis() # Invert y-axis for better readability\n", - "plt.tight_layout()\n", - "plt.show()\n" - ] - }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\3232801228.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_highest_burden = pd.read_sql(query_highest_burden, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Countries with the Highest Disease Burden:\n", - " Country TotalDiseaseBurden\n", - "0 Russia 125970949.0\n", - "1 South Africa 125868947.0\n", - "2 Mexico 125412035.0\n", - "3 South Korea 125266003.0\n", - "4 USA 125246167.0\n", - "5 UK 125244689.0\n", - "6 Germany 125204430.0\n", - "7 France 125203904.0\n", - "8 China 125112861.0\n", - "9 Canada 125051388.0\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ + "# Question 10:\n", "# What countries have the highest disease burden?\n", "\n", "\n", diff --git a/Business Challenge EDA and SQL_WHO.ipynb b/Business Challenge EDA and SQL_WHO.ipynb deleted file mode 100644 index 8cf4dd1..0000000 --- a/Business Challenge EDA and SQL_WHO.ipynb +++ /dev/null @@ -1,1191 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Business Challenge: EDA and SQL\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Connected to the WHO_health_data database successfully!\n" - ] - } - ], - "source": [ - "# import pymysql\n", - "from sqlalchemy.orm import sessionmaker\n", - "from sqlalchemy import create_engine\n", - "\n", - "\n", - "\n", - "# Switch to SQLAlchemy, because of UserWarning: \n", - "\n", - "# Database connection settings\n", - "host = \"localhost\" # host, e.g., 127.0.0.1 or a server address\n", - "user = \"root\" # MySQL username\n", - "password = \"Malcomx1\" # MySQL password\n", - "database = \"WHO_health_data\" # database name\n", - "\n", - "# # Establish the connection\n", - "# connection = pymysql.connect(\n", - "# host=host,\n", - "# user=user,\n", - "# password=password,\n", - "# database=database\n", - "# )\n", - "\n", - "# creates a SQLAlchemy engine, which serves as the entry point for interacting with the database\n", - "engine = create_engine(f\"mysql+pymysql://{user}:{password}@{host}/{database}\")\n", - "Session = sessionmaker(bind=engine)\n", - "session = Session()\n", - "\n", - "print(f\"Connected to the {database} database successfully!\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "from sqlalchemy import Column, Integer, String, Float, Text, ForeignKey\n", - "from sqlalchemy.ext.declarative import declarative_base\n", - "\n", - "Base = declarative_base()\n", - "\n", - "class Indicator(Base):\n", - " __tablename__ = 'indicators'\n", - " indicator_id = Column(String(50), primary_key=True)\n", - " indicator_name = Column(Text, nullable=False)\n", - " description = Column(Text)\n", - " source = Column(Text)\n", - "\n", - "class Data(Base):\n", - " __tablename__ = 'data'\n", - " data_id = Column(Integer, primary_key=True, autoincrement=True)\n", - " indicator_id = Column(String(50), ForeignKey('indicators.indicator_id'))\n", - " year = Column(Integer)\n", - " value = Column(Float)\n", - " spatial_dimension = Column(String(50))\n", - " dimension_code = Column(String(50))\n", - "\n", - "class Dimension(Base):\n", - " __tablename__ = 'dimensions'\n", - " dimension_code = Column(String(50), primary_key=True)\n", - " dimension_name = Column(Text, nullable=False)\n", - " description = Column(Text)\n", - "\n", - "class Country(Base):\n", - " __tablename__ = 'countries'\n", - " code = Column(String(50), primary_key=True)\n", - " title = Column(Text, nullable=False)\n", - " region = Column(Text)\n", - " parent_code = Column(String(50))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "Base.metadata.create_all(engine)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dimension 0\n", - "Code 0\n", - "Title 0\n", - "ParentDimension 5\n", - "ParentCode 5\n", - "ParentTitle 5\n", - "dtype: int64\n" - ] - } - ], - "source": [ - "import pandas as pd\n", - "\n", - "# Load the data\n", - "\n", - "hygiene_data = pd.read_csv(r'world_health_statistics\\data\\WSH_HYGIENE_BASIC.csv')\n", - "country_data = pd.read_csv(r'world_health_statistics\\codes\\COUNTRY.csv')\n", - "\n", - "# Check for NaN values\n", - "print(country_data.isnull().sum()) # This will show which columns contain NaN values\n", - "\n", - "# Replace NaN with default values or drop rows with NaN\n", - "# Option 1: Replace NaN with default strings (e.g., \"Unknown\")\n", - "country_data.fillna(\"Unknown\", inplace=True)\n", - "\n", - "# Option 2: Drop rows with NaN values (only if it makes sense to drop them)\n", - "# country_data.dropna(inplace=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "# Close the session\n", - "session.close()\n", - "# Restart the session\n", - "session = Session()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "from sqlalchemy.exc import IntegrityError\n", - "\n", - "for _, row in country_data.iterrows():\n", - " country = Country(\n", - " code=row['Code'],\n", - " title=row['Title'],\n", - " region=row['ParentTitle'],\n", - " parent_code=row['ParentCode']\n", - " )\n", - " session.add(country)\n", - "\n", - "try:\n", - " session.commit()\n", - "except IntegrityError as e:\n", - " session.rollback()\n", - " print(f\"Error: {e}\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "ename": "ProgrammingError", - "evalue": "(pymysql.err.ProgrammingError) nan can not be used with MySQL\n[SQL: INSERT INTO countries (code, title, region, parent_code) VALUES (%(code)s, %(title)s, %(region)s, %(parent_code)s)]\n[parameters: ({'code': 'ABW', 'title': 'Aruba', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'AFG', 'title': 'Afghanistan', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'AGO', 'title': 'Angola', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'AIA', 'title': 'Anguilla', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'ALB', 'title': 'Albania', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'AND', 'title': 'Andorra', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'ARE', 'title': 'United Arab Emirates', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'ARG', 'title': 'Argentina', 'region': 'Americas', 'parent_code': 'AMR'} ... displaying 10 of 233 total bound parameter sets ... {'code': 'ZMB', 'title': 'Zambia', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'ZWE', 'title': 'Zimbabwe', 'region': 'Africa', 'parent_code': 'AFR'})]\n(Background on this error at: https://sqlalche.me/e/14/f405)", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mProgrammingError\u001b[0m Traceback (most recent call last)", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1890\u001b[0m, in \u001b[0;36mConnection._execute_context\u001b[1;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001b[0m\n\u001b[0;32m 1889\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m evt_handled:\n\u001b[1;32m-> 1890\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_executemany\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1891\u001b[0m \u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[0;32m 1892\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1893\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m parameters \u001b[38;5;129;01mand\u001b[39;00m context\u001b[38;5;241m.\u001b[39mno_parameters:\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\dialects\\mysql\\mysqldb.py:183\u001b[0m, in \u001b[0;36mMySQLDialect_mysqldb.do_executemany\u001b[1;34m(self, cursor, statement, parameters, context)\u001b[0m\n\u001b[0;32m 182\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdo_executemany\u001b[39m(\u001b[38;5;28mself\u001b[39m, cursor, statement, parameters, context\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m--> 183\u001b[0m rowcount \u001b[38;5;241m=\u001b[39m \u001b[43mcursor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecutemany\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m context \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:182\u001b[0m, in \u001b[0;36mCursor.executemany\u001b[1;34m(self, query, args)\u001b[0m\n\u001b[0;32m 181\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m q_values[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m q_values[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 182\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_do_execute_many\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 183\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_prefix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_values\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 185\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_postfix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 186\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 187\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_stmt_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 188\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_db\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 189\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 191\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msum\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexecute(query, arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:211\u001b[0m, in \u001b[0;36mCursor._do_execute_many\u001b[1;34m(self, prefix, values, postfix, args, max_stmt_length, encoding)\u001b[0m\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args:\n\u001b[1;32m--> 211\u001b[0m v \u001b[38;5;241m=\u001b[39m values \u001b[38;5;241m%\u001b[39m \u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(v, \u001b[38;5;28mstr\u001b[39m):\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36mCursor._escape_args\u001b[1;34m(self, args, conn)\u001b[0m\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: conn\u001b[38;5;241m.\u001b[39mliteral(val) \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mliteral\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:530\u001b[0m, in \u001b[0;36mConnection.literal\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m 526\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Alias for escape().\u001b[39;00m\n\u001b[0;32m 527\u001b[0m \n\u001b[0;32m 528\u001b[0m \u001b[38;5;124;03mNon-standard, for internal use; do not use this in your applications.\u001b[39;00m\n\u001b[0;32m 529\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m--> 530\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoders\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:523\u001b[0m, in \u001b[0;36mConnection.escape\u001b[1;34m(self, obj, mapping)\u001b[0m\n\u001b[0;32m 522\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ret\n\u001b[1;32m--> 523\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconverters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape_item\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcharset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:25\u001b[0m, in \u001b[0;36mescape_item\u001b[1;34m(val, charset, mapping)\u001b[0m\n\u001b[0;32m 24\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m---> 25\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43mencoder\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 26\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:56\u001b[0m, in \u001b[0;36mescape_float\u001b[1;34m(value, mapping)\u001b[0m\n\u001b[0;32m 55\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m s \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m-inf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnan\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m---> 56\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ProgrammingError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m can not be used with MySQL\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m s)\n\u001b[0;32m 57\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124me\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m s:\n", - "\u001b[1;31mProgrammingError\u001b[0m: nan can not be used with MySQL", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[1;31mProgrammingError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[10], line 13\u001b[0m\n\u001b[0;32m 10\u001b[0m session\u001b[38;5;241m.\u001b[39madd(country)\n\u001b[0;32m 12\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 13\u001b[0m \u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcommit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m IntegrityError:\n\u001b[0;32m 15\u001b[0m session\u001b[38;5;241m.\u001b[39mrollback()\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:1454\u001b[0m, in \u001b[0;36mSession.commit\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1451\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_autobegin():\n\u001b[0;32m 1452\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m sa_exc\u001b[38;5;241m.\u001b[39mInvalidRequestError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo transaction is begun.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m-> 1454\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_transaction\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcommit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m_to_root\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfuture\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:832\u001b[0m, in \u001b[0;36mSessionTransaction.commit\u001b[1;34m(self, _to_root)\u001b[0m\n\u001b[0;32m 830\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_assert_active(prepared_ok\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m 831\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m PREPARED:\n\u001b[1;32m--> 832\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_prepare_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 834\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_parent \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnested:\n\u001b[0;32m 835\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m conn, trans, should_commit, autoclose \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mset\u001b[39m(\n\u001b[0;32m 836\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connections\u001b[38;5;241m.\u001b[39mvalues()\n\u001b[0;32m 837\u001b[0m ):\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:811\u001b[0m, in \u001b[0;36mSessionTransaction._prepare_impl\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 809\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msession\u001b[38;5;241m.\u001b[39m_is_clean():\n\u001b[0;32m 810\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m--> 811\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mflush\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 812\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 813\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mFlushError(\n\u001b[0;32m 814\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOver 100 subsequent flushes have occurred within \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 815\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msession.commit() - is an after_flush() hook \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 816\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcreating new objects?\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 817\u001b[0m )\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:3449\u001b[0m, in \u001b[0;36mSession.flush\u001b[1;34m(self, objects)\u001b[0m\n\u001b[0;32m 3447\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 3448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flushing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m-> 3449\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_flush\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobjects\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 3450\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 3451\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flushing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:3588\u001b[0m, in \u001b[0;36mSession._flush\u001b[1;34m(self, objects)\u001b[0m\n\u001b[0;32m 3585\u001b[0m transaction\u001b[38;5;241m.\u001b[39mcommit()\n\u001b[0;32m 3587\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[1;32m-> 3588\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m util\u001b[38;5;241m.\u001b[39msafe_reraise():\n\u001b[0;32m 3589\u001b[0m transaction\u001b[38;5;241m.\u001b[39mrollback(_capture_exception\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\util\\langhelpers.py:70\u001b[0m, in \u001b[0;36msafe_reraise.__exit__\u001b[1;34m(self, type_, value, traceback)\u001b[0m\n\u001b[0;32m 68\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exc_info \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;66;03m# remove potential circular references\u001b[39;00m\n\u001b[0;32m 69\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mwarn_only:\n\u001b[1;32m---> 70\u001b[0m \u001b[43mcompat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 71\u001b[0m \u001b[43m \u001b[49m\u001b[43mexc_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 72\u001b[0m \u001b[43m \u001b[49m\u001b[43mwith_traceback\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexc_tb\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 73\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 74\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 75\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m compat\u001b[38;5;241m.\u001b[39mpy3k \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exc_info \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exc_info[\u001b[38;5;241m1\u001b[39m]:\n\u001b[0;32m 76\u001b[0m \u001b[38;5;66;03m# emulate Py3K's behavior of telling us when an exception\u001b[39;00m\n\u001b[0;32m 77\u001b[0m \u001b[38;5;66;03m# occurs in an exception handler.\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\util\\compat.py:211\u001b[0m, in \u001b[0;36mraise_\u001b[1;34m(***failed resolving arguments***)\u001b[0m\n\u001b[0;32m 208\u001b[0m exception\u001b[38;5;241m.\u001b[39m__cause__ \u001b[38;5;241m=\u001b[39m replace_context\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 211\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exception\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 213\u001b[0m \u001b[38;5;66;03m# credit to\u001b[39;00m\n\u001b[0;32m 214\u001b[0m \u001b[38;5;66;03m# https://cosmicpercolator.com/2016/01/13/exception-leaks-in-python-2-and-3/\u001b[39;00m\n\u001b[0;32m 215\u001b[0m \u001b[38;5;66;03m# as the __traceback__ object creates a cycle\u001b[39;00m\n\u001b[0;32m 216\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m exception, replace_context, from_, with_traceback\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\session.py:3549\u001b[0m, in \u001b[0;36mSession._flush\u001b[1;34m(self, objects)\u001b[0m\n\u001b[0;32m 3547\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_warn_on_events \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m 3548\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 3549\u001b[0m \u001b[43mflush_context\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 3550\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 3551\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_warn_on_events \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\unitofwork.py:456\u001b[0m, in \u001b[0;36mUOWTransaction.execute\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 454\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 455\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m rec \u001b[38;5;129;01min\u001b[39;00m topological\u001b[38;5;241m.\u001b[39msort(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdependencies, postsort_actions):\n\u001b[1;32m--> 456\u001b[0m \u001b[43mrec\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\unitofwork.py:630\u001b[0m, in \u001b[0;36mSaveUpdateAll.execute\u001b[1;34m(self, uow)\u001b[0m\n\u001b[0;32m 628\u001b[0m \u001b[38;5;129m@util\u001b[39m\u001b[38;5;241m.\u001b[39mpreload_module(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msqlalchemy.orm.persistence\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 629\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mexecute\u001b[39m(\u001b[38;5;28mself\u001b[39m, uow):\n\u001b[1;32m--> 630\u001b[0m \u001b[43mutil\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpreloaded\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morm_persistence\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msave_obj\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 631\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 632\u001b[0m \u001b[43m \u001b[49m\u001b[43muow\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstates_for_mapper_hierarchy\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 633\u001b[0m \u001b[43m \u001b[49m\u001b[43muow\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 634\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\persistence.py:245\u001b[0m, in \u001b[0;36msave_obj\u001b[1;34m(base_mapper, states, uowtransaction, single)\u001b[0m\n\u001b[0;32m 233\u001b[0m update \u001b[38;5;241m=\u001b[39m _collect_update_commands(\n\u001b[0;32m 234\u001b[0m uowtransaction, table, states_to_update\n\u001b[0;32m 235\u001b[0m )\n\u001b[0;32m 237\u001b[0m _emit_update_statements(\n\u001b[0;32m 238\u001b[0m base_mapper,\n\u001b[0;32m 239\u001b[0m uowtransaction,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 242\u001b[0m update,\n\u001b[0;32m 243\u001b[0m )\n\u001b[1;32m--> 245\u001b[0m \u001b[43m_emit_insert_statements\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 246\u001b[0m \u001b[43m \u001b[49m\u001b[43mbase_mapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 247\u001b[0m \u001b[43m \u001b[49m\u001b[43muowtransaction\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 248\u001b[0m \u001b[43m \u001b[49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 249\u001b[0m \u001b[43m \u001b[49m\u001b[43mtable\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 250\u001b[0m \u001b[43m \u001b[49m\u001b[43minsert\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 251\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 253\u001b[0m _finalize_insert_update_commands(\n\u001b[0;32m 254\u001b[0m base_mapper,\n\u001b[0;32m 255\u001b[0m uowtransaction,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 271\u001b[0m ),\n\u001b[0;32m 272\u001b[0m )\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\orm\\persistence.py:1097\u001b[0m, in \u001b[0;36m_emit_insert_statements\u001b[1;34m(base_mapper, uowtransaction, mapper, table, insert, bookkeeping)\u001b[0m\n\u001b[0;32m 1094\u001b[0m records \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(records)\n\u001b[0;32m 1095\u001b[0m multiparams \u001b[38;5;241m=\u001b[39m [rec[\u001b[38;5;241m2\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m rec \u001b[38;5;129;01min\u001b[39;00m records]\n\u001b[1;32m-> 1097\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_20\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1098\u001b[0m \u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmultiparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexecution_options\u001b[49m\n\u001b[0;32m 1099\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1101\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m bookkeeping:\n\u001b[0;32m 1102\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m (\n\u001b[0;32m 1103\u001b[0m (\n\u001b[0;32m 1104\u001b[0m state,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1113\u001b[0m last_inserted_params,\n\u001b[0;32m 1114\u001b[0m ) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(records, c\u001b[38;5;241m.\u001b[39mcontext\u001b[38;5;241m.\u001b[39mcompiled_parameters):\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1710\u001b[0m, in \u001b[0;36mConnection._execute_20\u001b[1;34m(self, statement, parameters, execution_options)\u001b[0m\n\u001b[0;32m 1706\u001b[0m util\u001b[38;5;241m.\u001b[39mraise_(\n\u001b[0;32m 1707\u001b[0m exc\u001b[38;5;241m.\u001b[39mObjectNotExecutableError(statement), replace_context\u001b[38;5;241m=\u001b[39merr\n\u001b[0;32m 1708\u001b[0m )\n\u001b[0;32m 1709\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 1710\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmeth\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs_10style\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs_10style\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\sql\\elements.py:334\u001b[0m, in \u001b[0;36mClauseElement._execute_on_connection\u001b[1;34m(self, connection, multiparams, params, execution_options, _force)\u001b[0m\n\u001b[0;32m 330\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_execute_on_connection\u001b[39m(\n\u001b[0;32m 331\u001b[0m \u001b[38;5;28mself\u001b[39m, connection, multiparams, params, execution_options, _force\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m 332\u001b[0m ):\n\u001b[0;32m 333\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m _force \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msupports_execution:\n\u001b[1;32m--> 334\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_clauseelement\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 335\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmultiparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\n\u001b[0;32m 336\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 337\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 338\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mObjectNotExecutableError(\u001b[38;5;28mself\u001b[39m)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1577\u001b[0m, in \u001b[0;36mConnection._execute_clauseelement\u001b[1;34m(self, elem, multiparams, params, execution_options)\u001b[0m\n\u001b[0;32m 1565\u001b[0m compiled_cache \u001b[38;5;241m=\u001b[39m execution_options\u001b[38;5;241m.\u001b[39mget(\n\u001b[0;32m 1566\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcompiled_cache\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mengine\u001b[38;5;241m.\u001b[39m_compiled_cache\n\u001b[0;32m 1567\u001b[0m )\n\u001b[0;32m 1569\u001b[0m compiled_sql, extracted_params, cache_hit \u001b[38;5;241m=\u001b[39m elem\u001b[38;5;241m.\u001b[39m_compile_w_cache(\n\u001b[0;32m 1570\u001b[0m dialect\u001b[38;5;241m=\u001b[39mdialect,\n\u001b[0;32m 1571\u001b[0m compiled_cache\u001b[38;5;241m=\u001b[39mcompiled_cache,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1575\u001b[0m linting\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdialect\u001b[38;5;241m.\u001b[39mcompiler_linting \u001b[38;5;241m|\u001b[39m compiler\u001b[38;5;241m.\u001b[39mWARN_LINTING,\n\u001b[0;32m 1576\u001b[0m )\n\u001b[1;32m-> 1577\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_context\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1578\u001b[0m \u001b[43m \u001b[49m\u001b[43mdialect\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1579\u001b[0m \u001b[43m \u001b[49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecution_ctx_cls\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_init_compiled\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1580\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompiled_sql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1581\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1582\u001b[0m \u001b[43m \u001b[49m\u001b[43mexecution_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1583\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompiled_sql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1584\u001b[0m \u001b[43m \u001b[49m\u001b[43mdistilled_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1585\u001b[0m \u001b[43m \u001b[49m\u001b[43melem\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1586\u001b[0m \u001b[43m \u001b[49m\u001b[43mextracted_params\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1587\u001b[0m \u001b[43m \u001b[49m\u001b[43mcache_hit\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_hit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1588\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1589\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m has_events:\n\u001b[0;32m 1590\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdispatch\u001b[38;5;241m.\u001b[39mafter_execute(\n\u001b[0;32m 1591\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m 1592\u001b[0m elem,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1596\u001b[0m ret,\n\u001b[0;32m 1597\u001b[0m )\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1953\u001b[0m, in \u001b[0;36mConnection._execute_context\u001b[1;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001b[0m\n\u001b[0;32m 1950\u001b[0m branched\u001b[38;5;241m.\u001b[39mclose()\n\u001b[0;32m 1952\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m-> 1953\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_handle_dbapi_exception\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1954\u001b[0m \u001b[43m \u001b[49m\u001b[43me\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[0;32m 1955\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1957\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:2134\u001b[0m, in \u001b[0;36mConnection._handle_dbapi_exception\u001b[1;34m(self, e, statement, parameters, cursor, context)\u001b[0m\n\u001b[0;32m 2132\u001b[0m util\u001b[38;5;241m.\u001b[39mraise_(newraise, with_traceback\u001b[38;5;241m=\u001b[39mexc_info[\u001b[38;5;241m2\u001b[39m], from_\u001b[38;5;241m=\u001b[39me)\n\u001b[0;32m 2133\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m should_wrap:\n\u001b[1;32m-> 2134\u001b[0m \u001b[43mutil\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2135\u001b[0m \u001b[43m \u001b[49m\u001b[43msqlalchemy_exception\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwith_traceback\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexc_info\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfrom_\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43me\u001b[49m\n\u001b[0;32m 2136\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2137\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 2138\u001b[0m util\u001b[38;5;241m.\u001b[39mraise_(exc_info[\u001b[38;5;241m1\u001b[39m], with_traceback\u001b[38;5;241m=\u001b[39mexc_info[\u001b[38;5;241m2\u001b[39m])\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\util\\compat.py:211\u001b[0m, in \u001b[0;36mraise_\u001b[1;34m(***failed resolving arguments***)\u001b[0m\n\u001b[0;32m 208\u001b[0m exception\u001b[38;5;241m.\u001b[39m__cause__ \u001b[38;5;241m=\u001b[39m replace_context\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 211\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exception\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 213\u001b[0m \u001b[38;5;66;03m# credit to\u001b[39;00m\n\u001b[0;32m 214\u001b[0m \u001b[38;5;66;03m# https://cosmicpercolator.com/2016/01/13/exception-leaks-in-python-2-and-3/\u001b[39;00m\n\u001b[0;32m 215\u001b[0m \u001b[38;5;66;03m# as the __traceback__ object creates a cycle\u001b[39;00m\n\u001b[0;32m 216\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m exception, replace_context, from_, with_traceback\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\engine\\base.py:1890\u001b[0m, in \u001b[0;36mConnection._execute_context\u001b[1;34m(self, dialect, constructor, statement, parameters, execution_options, *args, **kw)\u001b[0m\n\u001b[0;32m 1888\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[0;32m 1889\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m evt_handled:\n\u001b[1;32m-> 1890\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdialect\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_executemany\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1891\u001b[0m \u001b[43m \u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\n\u001b[0;32m 1892\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1893\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m parameters \u001b[38;5;129;01mand\u001b[39;00m context\u001b[38;5;241m.\u001b[39mno_parameters:\n\u001b[0;32m 1894\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdialect\u001b[38;5;241m.\u001b[39m_has_events:\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sqlalchemy\\dialects\\mysql\\mysqldb.py:183\u001b[0m, in \u001b[0;36mMySQLDialect_mysqldb.do_executemany\u001b[1;34m(self, cursor, statement, parameters, context)\u001b[0m\n\u001b[0;32m 182\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdo_executemany\u001b[39m(\u001b[38;5;28mself\u001b[39m, cursor, statement, parameters, context\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m--> 183\u001b[0m rowcount \u001b[38;5;241m=\u001b[39m \u001b[43mcursor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecutemany\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstatement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparameters\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m context \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 185\u001b[0m context\u001b[38;5;241m.\u001b[39m_rowcount \u001b[38;5;241m=\u001b[39m rowcount\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:182\u001b[0m, in \u001b[0;36mCursor.executemany\u001b[1;34m(self, query, args)\u001b[0m\n\u001b[0;32m 180\u001b[0m q_postfix \u001b[38;5;241m=\u001b[39m m\u001b[38;5;241m.\u001b[39mgroup(\u001b[38;5;241m3\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 181\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m q_values[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m q_values[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 182\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_do_execute_many\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 183\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_prefix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 184\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_values\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 185\u001b[0m \u001b[43m \u001b[49m\u001b[43mq_postfix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 186\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 187\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_stmt_length\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 188\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_db\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 189\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 191\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msum\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexecute(query, arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n\u001b[0;32m 192\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:211\u001b[0m, in \u001b[0;36mCursor._do_execute_many\u001b[1;34m(self, prefix, values, postfix, args, max_stmt_length, encoding)\u001b[0m\n\u001b[0;32m 209\u001b[0m rows \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args:\n\u001b[1;32m--> 211\u001b[0m v \u001b[38;5;241m=\u001b[39m values \u001b[38;5;241m%\u001b[39m \u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(v, \u001b[38;5;28mstr\u001b[39m):\n\u001b[0;32m 213\u001b[0m v \u001b[38;5;241m=\u001b[39m v\u001b[38;5;241m.\u001b[39mencode(encoding, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msurrogateescape\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36mCursor._escape_args\u001b[1;34m(self, args, conn)\u001b[0m\n\u001b[0;32m 102\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mtuple\u001b[39m(conn\u001b[38;5;241m.\u001b[39mliteral(arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: conn\u001b[38;5;241m.\u001b[39mliteral(val) \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n\u001b[0;32m 108\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m conn\u001b[38;5;241m.\u001b[39mescape(args)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\cursors.py:104\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 102\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mtuple\u001b[39m(conn\u001b[38;5;241m.\u001b[39mliteral(arg) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(args, \u001b[38;5;28mdict\u001b[39m):\n\u001b[1;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {key: \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mliteral\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m (key, val) \u001b[38;5;129;01min\u001b[39;00m args\u001b[38;5;241m.\u001b[39mitems()}\n\u001b[0;32m 105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# If it's not a dictionary let's try escaping it anyways.\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;66;03m# Worst case it will throw a Value error\u001b[39;00m\n\u001b[0;32m 108\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m conn\u001b[38;5;241m.\u001b[39mescape(args)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:530\u001b[0m, in \u001b[0;36mConnection.literal\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m 525\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mliteral\u001b[39m(\u001b[38;5;28mself\u001b[39m, obj):\n\u001b[0;32m 526\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Alias for escape().\u001b[39;00m\n\u001b[0;32m 527\u001b[0m \n\u001b[0;32m 528\u001b[0m \u001b[38;5;124;03m Non-standard, for internal use; do not use this in your applications.\u001b[39;00m\n\u001b[0;32m 529\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 530\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoders\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\connections.py:523\u001b[0m, in \u001b[0;36mConnection.escape\u001b[1;34m(self, obj, mapping)\u001b[0m\n\u001b[0;32m 521\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_binary\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m ret\n\u001b[0;32m 522\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ret\n\u001b[1;32m--> 523\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconverters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mescape_item\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcharset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:25\u001b[0m, in \u001b[0;36mescape_item\u001b[1;34m(val, charset, mapping)\u001b[0m\n\u001b[0;32m 23\u001b[0m val \u001b[38;5;241m=\u001b[39m encoder(val, charset, mapping)\n\u001b[0;32m 24\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m---> 25\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43mencoder\u001b[49m\u001b[43m(\u001b[49m\u001b[43mval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 26\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pymysql\\converters.py:56\u001b[0m, in \u001b[0;36mescape_float\u001b[1;34m(value, mapping)\u001b[0m\n\u001b[0;32m 54\u001b[0m s \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mrepr\u001b[39m(value)\n\u001b[0;32m 55\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m s \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m-inf\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnan\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m---> 56\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ProgrammingError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m can not be used with MySQL\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m s)\n\u001b[0;32m 57\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124me\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m s:\n\u001b[0;32m 58\u001b[0m s \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124me0\u001b[39m\u001b[38;5;124m\"\u001b[39m\n", - "\u001b[1;31mProgrammingError\u001b[0m: (pymysql.err.ProgrammingError) nan can not be used with MySQL\n[SQL: INSERT INTO countries (code, title, region, parent_code) VALUES (%(code)s, %(title)s, %(region)s, %(parent_code)s)]\n[parameters: ({'code': 'ABW', 'title': 'Aruba', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'AFG', 'title': 'Afghanistan', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'AGO', 'title': 'Angola', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'AIA', 'title': 'Anguilla', 'region': 'Americas', 'parent_code': 'AMR'}, {'code': 'ALB', 'title': 'Albania', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'AND', 'title': 'Andorra', 'region': 'Europe', 'parent_code': 'EUR'}, {'code': 'ARE', 'title': 'United Arab Emirates', 'region': 'Eastern Mediterranean', 'parent_code': 'EMR'}, {'code': 'ARG', 'title': 'Argentina', 'region': 'Americas', 'parent_code': 'AMR'} ... displaying 10 of 233 total bound parameter sets ... {'code': 'ZMB', 'title': 'Zambia', 'region': 'Africa', 'parent_code': 'AFR'}, {'code': 'ZWE', 'title': 'Zimbabwe', 'region': 'Africa', 'parent_code': 'AFR'})]\n(Background on this error at: https://sqlalche.me/e/14/f405)" - ] - } - ], - "source": [ - "from sqlalchemy.exc import IntegrityError\n", - "\n", - "for _, row in country_data.iterrows():\n", - " country = Country(\n", - " code=row['Code'],\n", - " title=row['Title'],\n", - " region=row['ParentTitle'],\n", - " parent_code=row['ParentCode']\n", - " )\n", - " session.add(country)\n", - "\n", - "try:\n", - " session.commit()\n", - "except IntegrityError:\n", - " session.rollback()\n", - " print(\"Duplicate entries skipped.\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " id Country Year DiseaseName DiseaseCategory \\\n", - "0 3 Turkey 2015 COVID-19 Genetic \n", - "1 11 Canada 2011 Leprosy Cardiovascular \n", - "2 23 South Africa 2014 Malaria Bacterial \n", - "3 38 Turkey 2006 Malaria Cardiovascular \n", - "4 43 Indonesia 2000 Rabies Bacterial \n", - "... ... ... ... ... ... \n", - "19986 99980 Australia 2017 Hypertension Neurological \n", - "19987 99984 UK 2010 Measles Metabolic \n", - "19988 99985 Canada 2001 Alzheimer's Disease Bacterial \n", - "19989 99986 South Korea 2004 Measles Respiratory \n", - "19990 99987 Russia 2005 Asthma Chronic \n", - "\n", - " PrevalenceRate IncidenceRate MortalityRate AgeGroup Gender ... \\\n", - "0 0.91 2.35 6.22 36-60 Male ... \n", - "1 11.15 0.60 2.97 36-60 Female ... \n", - "2 5.94 4.29 2.36 61+ Female ... \n", - "3 10.53 2.50 5.09 0-18 Male ... \n", - "4 1.22 13.78 3.90 0-18 Male ... \n", - "... ... ... ... ... ... ... \n", - "19986 2.55 0.84 6.96 19-35 Male ... \n", - "19987 16.48 3.29 6.63 36-60 Male ... \n", - "19988 15.71 10.18 5.12 36-60 Male ... \n", - "19989 1.10 10.82 6.33 36-60 Male ... \n", - "19990 10.69 7.84 4.42 61+ Other ... \n", - "\n", - " HospitalBedsPer1000 TreatmentType AverageTreatmentCost \\\n", - "0 3.49 Vaccination 27834.0 \n", - "1 1.99 Surgery 19993.0 \n", - "2 6.88 Therapy 14578.0 \n", - "3 2.95 Vaccination 29311.0 \n", - "4 3.53 Therapy 45214.0 \n", - "... ... ... ... \n", - "19986 1.05 Surgery 15056.0 \n", - "19987 6.46 Therapy 7088.0 \n", - "19988 3.28 Medication 42658.0 \n", - "19989 2.97 Therapy 5205.0 \n", - "19990 8.89 Medication 2377.0 \n", - "\n", - " AvailabilityOfVaccinesTreatment RecoveryRate DALYs \\\n", - "0 Yes 98.55 41.0 \n", - "1 Yes 76.16 4238.0 \n", - "2 Yes 72.97 433.0 \n", - "3 Yes 93.53 110.0 \n", - "4 Yes 97.84 4746.0 \n", - "... ... ... ... \n", - "19986 Yes 89.41 680.0 \n", - "19987 No 63.23 399.0 \n", - "19988 Yes 82.12 3051.0 \n", - "19989 Yes 87.74 382.0 \n", - "19990 Yes 50.31 2814.0 \n", - "\n", - " ImprovementIn5Years PerCapitaIncome EducationIndex UrbanizationRate \n", - "0 5.81 12245.0 0.41 40.20 \n", - "1 1.23 44699.0 0.58 51.50 \n", - "2 1.40 52974.0 0.53 43.97 \n", - "3 6.45 51865.0 0.74 58.38 \n", - "4 3.30 24147.0 0.73 79.39 \n", - "... ... ... ... ... \n", - "19986 1.71 37060.0 0.64 47.46 \n", - "19987 1.14 73707.0 0.60 45.20 \n", - "19988 2.52 52542.0 0.61 47.49 \n", - "19989 3.38 67734.0 0.83 76.76 \n", - "19990 3.43 44723.0 0.81 72.82 \n", - "\n", - "[19991 rows x 23 columns]\n" - ] - } - ], - "source": [ - "# Switch to SQLAlchemy, because of UserWarning: \n", - "\n", - "import pandas as pd\n", - "\n", - "query = \"\"\"\n", - "SELECT *\n", - "FROM HealthStatistics\n", - "WHERE RAND() <= 0.2;\n", - "\"\"\"\n", - "\n", - "df_healtstatistics_sample = pd.read_sql(query, engine)\n", - "\n", - "print(df_healtstatistics_sample)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " id Country Year DiseaseName DiseaseCategory PrevalenceRate \\\n", - "0 105 Australia 2020 Malaria Genetic 12.89 \n", - "1 486 Nigeria 2020 Malaria Bacterial 18.91 \n", - "2 1200 China 2020 Malaria Neurological 7.81 \n", - "3 1325 Argentina 2020 Malaria Autoimmune 2.21 \n", - "4 1544 Australia 2020 Malaria Metabolic 1.60 \n", - ".. ... ... ... ... ... ... \n", - "196 99253 South Africa 2020 Malaria Respiratory 9.22 \n", - "197 99350 Turkey 2020 Malaria Bacterial 7.57 \n", - "198 99402 India 2020 Malaria Metabolic 13.16 \n", - "199 99406 Mexico 2020 Malaria Genetic 1.28 \n", - "200 99475 Indonesia 2020 Malaria Metabolic 15.20 \n", - "\n", - " IncidenceRate MortalityRate AgeGroup Gender ... HospitalBedsPer1000 \\\n", - "0 12.34 1.52 36-60 Other ... 5.35 \n", - "1 13.31 1.37 61+ Female ... 7.57 \n", - "2 2.24 8.67 61+ Female ... 2.86 \n", - "3 10.05 7.41 19-35 Other ... 2.04 \n", - "4 0.84 5.24 19-35 Male ... 7.22 \n", - ".. ... ... ... ... ... ... \n", - "196 13.76 9.81 19-35 Male ... 5.95 \n", - "197 10.89 6.23 0-18 Other ... 9.79 \n", - "198 4.00 6.32 61+ Other ... 9.47 \n", - "199 13.18 1.02 61+ Other ... 9.76 \n", - "200 3.84 0.54 36-60 Female ... 7.74 \n", - "\n", - " TreatmentType AverageTreatmentCost AvailabilityOfVaccinesTreatment \\\n", - "0 Medication 9153.0 Yes \n", - "1 Vaccination 40849.0 No \n", - "2 Surgery 29742.0 No \n", - "3 Medication 25557.0 No \n", - "4 Vaccination 14504.0 Yes \n", - ".. ... ... ... \n", - "196 Surgery 13942.0 No \n", - "197 Therapy 18890.0 Yes \n", - "198 Therapy 22365.0 Yes \n", - "199 Surgery 22522.0 Yes \n", - "200 Therapy 27101.0 No \n", - "\n", - " RecoveryRate DALYs ImprovementIn5Years PerCapitaIncome EducationIndex \\\n", - "0 85.70 3411.0 1.03 13201.0 0.62 \n", - "1 56.59 4604.0 0.13 35250.0 0.89 \n", - "2 55.98 1288.0 8.50 5954.0 0.83 \n", - "3 77.72 4074.0 7.04 99936.0 0.54 \n", - "4 67.36 391.0 9.61 24293.0 0.81 \n", - ".. ... ... ... ... ... \n", - "196 97.84 2531.0 6.81 84482.0 0.67 \n", - "197 67.85 4101.0 4.88 39904.0 0.59 \n", - "198 81.07 105.0 6.68 67995.0 0.67 \n", - "199 65.91 4689.0 0.86 31437.0 0.44 \n", - "200 78.98 4520.0 0.86 59791.0 0.74 \n", - "\n", - " UrbanizationRate \n", - "0 34.93 \n", - "1 35.01 \n", - "2 85.54 \n", - "3 31.58 \n", - "4 41.08 \n", - ".. ... \n", - "196 46.73 \n", - "197 21.95 \n", - "198 38.27 \n", - "199 54.71 \n", - "200 89.86 \n", - "\n", - "[201 rows x 23 columns]\n" - ] - } - ], - "source": [ - "# Switch to SQLAlchemy, because of UserWarning: \n", - "\n", - "# Trying a filter for Malaria in 2020\n", - "query = \"\"\"\n", - "SELECT *\n", - "FROM HealthStatistics\n", - "WHERE Year = 2020 AND DiseaseName = 'Malaria';\n", - "\"\"\"\n", - "df_filtered = pd.read_sql(query, engine)\n", - "\n", - "print(df_filtered)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data retrieved successfully!\n", - "\n", - "Top Infectious Diseases by Prevalence:\n", - " Avg_Prevalence Total_Prevalence\n", - "DiseaseName \n", - "Polio 11.092771 920.70\n", - "Influenza 10.972241 1272.78\n", - "Ebola 10.409245 1103.38\n", - "Malaria 10.408333 1124.10\n", - "Asthma 10.332857 1012.62\n", - "Measles 10.321685 918.63\n", - "HIV/AIDS 10.213814 990.74\n", - "Dengue 10.173448 885.09\n", - "Alzheimer's Disease 10.101000 909.09\n", - "Parkinson's Disease 10.025934 912.36\n", - "\n", - "Change in Prevalence Rates Over the Last 5 Years:\n", - " Initial_Prevalence Latest_Prevalence \\\n", - "DiseaseName \n", - "Cholera 7.85 17.66 \n", - "Parkinson's Disease 12.31 18.03 \n", - "Hepatitis 0.60 5.59 \n", - "Zika 14.62 18.20 \n", - "Malaria 14.16 17.55 \n", - "Tuberculosis 0.92 4.20 \n", - "Leprosy 16.01 17.26 \n", - "COVID-19 14.88 14.77 \n", - "HIV/AIDS 4.56 4.32 \n", - "Asthma 14.70 13.25 \n", - "\n", - " Change_in_Prevalence \n", - "DiseaseName \n", - "Cholera 9.81 \n", - "Parkinson's Disease 5.72 \n", - "Hepatitis 4.99 \n", - "Zika 3.58 \n", - "Malaria 3.39 \n", - "Tuberculosis 3.28 \n", - "Leprosy 1.25 \n", - "COVID-19 -0.11 \n", - "HIV/AIDS -0.24 \n", - "Asthma -1.45 \n" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Question 1:\n", - "# Which infectious diseases have the highest prevalence rates globally, and how have these rates changed over the past 5 years?\n", - "\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# SQL query to fetch data\n", - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " DiseaseCategory,\n", - " Year,\n", - " PrevalenceRate\n", - "FROM HealthStatistics\n", - "WHERE\n", - " DiseaseCategory = 'Infectious'\n", - " AND Year BETWEEN 2020 AND 2024\n", - "ORDER BY\n", - " Year DESC;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a pandas DataFrame\n", - "df_question1 = pd.read_sql(query, engine)\n", - "\n", - "# Analyze the data\n", - "# Step 1: Group data to find the highest average prevalence rates globally\n", - "highest_prevalence = (\n", - " df_question1.groupby(\"DiseaseName\")\n", - " .agg(\n", - " Avg_Prevalence=(\"PrevalenceRate\", \"mean\"),\n", - " Total_Prevalence=(\"PrevalenceRate\", \"sum\")\n", - " )\n", - " .sort_values(by=\"Avg_Prevalence\", ascending=False)\n", - ")\n", - "\n", - "# Step 2: Analyze the change in prevalence rates over the last 5 years\n", - "recent_years = df_question1[df_question1['Year'] >= df_question1['Year'].max() - 5]\n", - "\n", - "prevalence_change = (\n", - " recent_years.groupby(\"DiseaseName\")\n", - " .agg(\n", - " Initial_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[0]),\n", - " Latest_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[-1])\n", - " )\n", - " .assign(Change_in_Prevalence=lambda x: x[\"Latest_Prevalence\"] - x[\"Initial_Prevalence\"])\n", - " .sort_values(by=\"Change_in_Prevalence\", ascending=False)\n", - ")\n", - "\n", - "# Step 3: Merge both results\n", - "result = highest_prevalence.merge(prevalence_change, on=\"DiseaseName\", how=\"inner\")\n", - "\n", - "# Display results\n", - "print(\"\\nTop Infectious Diseases by Prevalence:\")\n", - "print(highest_prevalence.head(10))\n", - "\n", - "print(\"\\nChange in Prevalence Rates Over the Last 5 Years:\")\n", - "print(prevalence_change.head(10))\n", - "\n", - "# Step 4: Sort data by year\n", - "df_question1_sorted = df_question1.sort_values(by='Year')\n", - "\n", - "# Step 5: Select top 5 diseases by highest average prevalence rates\n", - "top_diseases = highest_prevalence.head(5).index\n", - "\n", - "# Filter data for the top 5 diseases\n", - "top_diseases_data = df_question1_sorted[df_question1_sorted['DiseaseName'].isin(top_diseases)]\n", - "\n", - "# Aggregate data by DiseaseName and Year\n", - "aggregated_data = (\n", - " top_diseases_data.groupby(['DiseaseName', 'Year'])\n", - " .agg({'PrevalenceRate': 'mean'})\n", - " .reset_index()\n", - ")\n", - "\n", - "# Plot the aggregated data\n", - "sns.set_theme(style=\"whitegrid\")\n", - "plt.figure(figsize=(12, 7))\n", - "palette = sns.color_palette(\"husl\", len(top_diseases)) # colorful theme\n", - "\n", - "for i, (disease, group) in enumerate(aggregated_data.groupby('DiseaseName')):\n", - " plt.plot(group['Year'], group['PrevalenceRate'], \n", - " marker='o', label=disease, color=palette[i], linewidth=2.5)\n", - "\n", - "# Add labels and title\n", - "plt.title('Prevalence Rate per Year for Top 5 Diseases', fontsize=16, weight='bold')\n", - "plt.xlabel('Year', fontsize=14)\n", - "plt.ylabel('Prevalence Rate', fontsize=14)\n", - "plt.xticks(sorted(aggregated_data['Year'].unique()), fontsize=12, rotation=45)\n", - "plt.yticks(fontsize=12)\n", - "plt.legend(title=\"Disease Name\", fontsize=12, title_fontsize=14)\n", - "plt.grid(True, which='major', linestyle='--', linewidth=0.5, alpha=0.7)\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1944517882.py:25: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " return pd.read_sql(query, connection, params=params)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", - " grouped_vals = vals.groupby(grouper)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", - " grouped_vals = vals.groupby(grouper)\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Question 2:\n", - "# Which age groups and genders are most affected by high-prevalence infectious diseases? \n", - "# Are there significant disparities?\n", - "\n", - "def get_high_prevalence_data(connection: pymysql.connections.Connection, diseasecategory: str) -> pd.DataFrame:\n", - " \"\"\" \n", - " This function queries the `HealthStatistics` table to compute the average prevalence rate and \n", - " the total affected population for each combination of age group and gender within the specified \n", - " disease category. It filters the data to include only those entries where the prevalence rate \n", - " is greater than the average prevalence rate.\n", - "\n", - " Args:\n", - " connection (pymysql.connections.Connection): A valid database connection created with PyMySQL.\n", - " diseasecategory (str): The disease category to filter on (e.g., 'Infectious').\n", - "\n", - " Returns:\n", - " pd.DataFrame: A pandas DataFrame containing columns:\n", - " - `AgeGroup`: The age group.\n", - " - `Gender`: The gender (Male, Female, Other).\n", - " - `AvgPrevalence`: The average prevalence rate for the group.\n", - " - `TotalAffected`: The total population affected for the group.\n", - " \"\"\"\n", - " \n", - " \n", - " query = \"\"\"\n", - " SELECT\n", - " AgeGroup,\n", - " Gender,\n", - " AVG(PrevalenceRate) AS AvgPrevalence,\n", - " SUM(PopulationAffected) AS TotalAffected\n", - " FROM HealthStatistics\n", - " WHERE\n", - " DiseaseCategory = %s\n", - " AND PrevalenceRate > (\n", - " SELECT AVG(PrevalenceRate)\n", - " FROM HealthStatistics\n", - " WHERE DiseaseCategory = %s\n", - " )\n", - " GROUP BY AgeGroup, Gender\n", - " ORDER BY AvgPrevalence DESC;\n", - " \"\"\"\n", - " params = (diseasecategory, diseasecategory)\n", - " return pd.read_sql(query, connection, params=params)\n", - "\n", - "# Call the function\n", - "df_question2 = get_high_prevalence_data(connection, 'Infectious')\n", - "\n", - "# df_question2 = pd.read_sql(query_2, connection)\n", - "\n", - "age_order = ['0-18', '19-35', '36-60', '61+']\n", - "\n", - "df_question2['AgeGroup'] = pd.Categorical(df_question2['AgeGroup'], categories=age_order, ordered=True)\n", - "\n", - "# Plot the graph with the updated order\n", - "plt.figure(figsize=(10, 6))\n", - "sns.barplot(\n", - " data=df_question2,\n", - " x=\"AgeGroup\",\n", - " y=\"AvgPrevalence\",\n", - " hue=\"Gender\",\n", - " palette=\"viridis\"\n", - ")\n", - "plt.title(\"Prevalence Rate of by Age Group and Gender\")\n", - "plt.xlabel(\"Age Group\")\n", - "plt.ylabel(\"Average Prevalence Rate (%)\")\n", - "plt.xticks(rotation=45)\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1639260823.py:15: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_question3 = pd.read_sql(query_3, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName AvgHealthcareAccess AvgDoctorsPer1000 \\\n", - "0 Malaria 74.786759 2.732954 \n", - "1 Ebola 74.704818 2.778387 \n", - "2 COVID-19 74.702642 2.706471 \n", - "3 Parkinson's Disease 74.792696 2.742936 \n", - "4 Tuberculosis 74.985969 2.764276 \n", - "\n", - " AvgRecoveryRate \n", - "0 74.801839 \n", - "1 74.398003 \n", - "2 74.255789 \n", - "3 74.335690 \n", - "4 74.538776 \n", - " AvgHealthcareAccess AvgDoctorsPer1000 AvgRecoveryRate\n", - "AvgHealthcareAccess 1.000000 -0.087803 0.336193\n", - "AvgDoctorsPer1000 -0.087803 1.000000 -0.058986\n", - "AvgRecoveryRate 0.336193 -0.058986 1.000000\n" - ] - }, - { - "data": { - "image/png": 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", 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Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", - " with pd.option_context('mode.use_inf_as_na', True):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n", - " self._figure.tight_layout(*args, **kwargs)\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Question 3: \n", - "# Is there a correlation between healthcare access, the number of doctors per 1000 people, \n", - "# and the recovery rate for specific diseases?\n", - "\n", - "query_3 = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AVG(HealthcareAccess) AS AvgHealthcareAccess,\n", - " AVG(DoctorsPer1000) AS AvgDoctorsPer1000,\n", - " AVG(RecoveryRate) AS AvgRecoveryRate\n", - "FROM HealthStatistics\n", - "GROUP BY DiseaseName;\n", - "\"\"\"\n", - "\n", - "df_question3 = pd.read_sql(query_3, connection)\n", - "print(df_question3.head())\n", - "\n", - "correlation_matrix = df_question3[[\n", - " 'AvgHealthcareAccess',\n", - " 'AvgDoctorsPer1000',\n", - " 'AvgRecoveryRate'\n", - "]].corr()\n", - "\n", - "print(correlation_matrix)\n", - "\n", - "plt.figure(figsize=(8, 6))\n", - "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", - "plt.title(\"Correlation Between Healthcare Access, Doctors, and Recovery Rate\")\n", - "plt.show()\n", - "\n", - "\n", - "sns.pairplot(\n", - " df_question3,\n", - " vars=['AvgHealthcareAccess', 'AvgDoctorsPer1000', 'AvgRecoveryRate'],\n", - " kind=\"reg\"\n", - ")\n", - "plt.suptitle(\"Relationships Between Healthcare Access, Doctors, and Recovery Rate\", y=1.02)\n", - "plt.show()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\3706241603.py:17: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_question4 = pd.read_sql(query_4, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", - "0 Malaria 5.148557 51036.541119 0.656155\n", - "1 Hepatitis 5.111002 50134.584410 0.648586\n", - "2 Rabies 5.087610 50758.945881 0.648486\n", - "3 Tuberculosis 5.085437 49793.941319 0.650789\n", - "4 Measles 5.082200 50287.037513 0.649193\n", - " AvgMortalityRate AvgPerCapitaIncome AvgEducationIndex\n", - "AvgMortalityRate 1.000000 0.119010 0.742968\n", - "AvgPerCapitaIncome 0.119010 1.000000 0.346141\n", - "AvgEducationIndex 0.742968 0.346141 1.000000\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Question 4: \n", - "# Which infectious diseases have the highest mortality rates, and how do socioeconomic factors \n", - "# (e.g., per capita income, education index) influence these rates?\n", - "\n", - "query_4 = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AVG(MortalityRate) AS AvgMortalityRate,\n", - " AVG(PerCapitaIncome) AS AvgPerCapitaIncome,\n", - " AVG(EducationIndex) AS AvgEducationIndex\n", - "FROM HealthStatistics\n", - "GROUP BY DiseaseName\n", - "ORDER BY AvgMortalityRate DESC\n", - "LIMIT 10;\n", - "\"\"\"\n", - "\n", - "df_question4 = pd.read_sql(query_4, connection)\n", - "# df_question4.describe()\n", - "print(df_question4.head())\n", - "\n", - "\n", - "# Calculate correlations\n", - "correlation_matrix = df_question4[[\n", - " 'AvgMortalityRate', \n", - " 'AvgPerCapitaIncome', \n", - " 'AvgEducationIndex'\n", - "]].corr()\n", - "\n", - "print(correlation_matrix)\n", - "\n", - "plt.figure(figsize=(8, 6))\n", - "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", - "plt.title(\"Correlation Between Mortality Rate and Socioeconomic Factors\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\1616853608.py:18: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_urbanization = pd.read_sql(query, connection)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " AvgUrbanizationRate AvgIncidenceRate AvgPrevalenceRate\n", - "AvgUrbanizationRate 1.000000 0.344218 0.162751\n", - "AvgIncidenceRate 0.344218 1.000000 -0.181572\n", - "AvgPrevalenceRate 0.162751 -0.181572 1.000000\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Question 5:\n", - "# Does the urbanization rate affect the incidence and prevalence rates of infectious diseases? \n", - "# Are urban areas more vulnerable to certain outbreaks?\n", - "\n", - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AVG(UrbanizationRate) AS AvgUrbanizationRate,\n", - " AVG(IncidenceRate) AS AvgIncidenceRate,\n", - " AVG(PrevalenceRate) AS AvgPrevalenceRate\n", - "FROM HealthStatistics\n", - "WHERE DiseaseCategory = 'Infectious'\n", - "GROUP BY DiseaseName\n", - "ORDER BY AvgUrbanizationRate DESC;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a pandas DataFrame\n", - "df_urbanization = pd.read_sql(query, connection)\n", - "\n", - "df_urbanization.describe()\n", - "# Calculate correlation\n", - "correlation_matrix = df_urbanization[[\n", - " 'AvgUrbanizationRate',\n", - " 'AvgIncidenceRate',\n", - " 'AvgPrevalenceRate'\n", - "]].corr()\n", - "\n", - "print(correlation_matrix)\n", - "\n", - "# Visualize correlation as a heatmap\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "plt.figure(figsize=(8, 6))\n", - "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\")\n", - "plt.title(\"Correlation Between Urbanization and Disease Metrics\")\n", - "plt.show()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\990198507.py:13: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_vaccine = pd.read_sql(query, connection)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName AvailabilityOfVaccinesTreatment AvgMortalityRate \\\n", - "0 Alzheimer's Disease Yes 5.440184 \n", - "1 HIV/AIDS Yes 5.401092 \n", - "2 Influenza Yes 5.390083 \n", - "3 Malaria No 5.360365 \n", - "4 Rabies No 5.339690 \n", - "\n", - " AvgRecoveryRate \n", - "0 75.933502 \n", - "1 74.485672 \n", - "2 73.891701 \n", - "3 73.713059 \n", - "4 74.395177 \n", - " AvailabilityOfVaccinesTreatment AvgMortalityRate AvgRecoveryRate\n", - "0 No 5.023736 74.244544\n", - "1 Yes 5.105629 74.391719\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AvailabilityOfVaccinesTreatment,\n", - " AVG(MortalityRate) AS AvgMortalityRate,\n", - " AVG(RecoveryRate) AS AvgRecoveryRate\n", - "FROM HealthStatistics\n", - "WHERE DiseaseCategory = 'Infectious'\n", - "GROUP BY DiseaseName, AvailabilityOfVaccinesTreatment\n", - "ORDER BY AvgMortalityRate DESC;\n", - "\"\"\"\n", - "\n", - "df_vaccine = pd.read_sql(query, connection)\n", - "print(df_vaccine.head())\n", - "\n", - "df_summary = df_vaccine.groupby(\"AvailabilityOfVaccinesTreatment\").agg({\n", - " \"AvgMortalityRate\": \"mean\",\n", - " \"AvgRecoveryRate\": \"mean\"\n", - "}).reset_index()\n", - "\n", - "print(df_summary)\n", - "\n", - "\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Bar plot for Mortality and Recovery Rates by Vaccine Availability\n", - "df_melted = df_summary.melt(id_vars=\"AvailabilityOfVaccinesTreatment\", \n", - " value_vars=[\"AvgMortalityRate\", \"AvgRecoveryRate\"],\n", - " var_name=\"Metric\", \n", - " value_name=\"Rate\")\n", - "\n", - "plt.figure(figsize=(8, 5))\n", - "sns.barplot(data=df_melted, x=\"AvailabilityOfVaccinesTreatment\", y=\"Rate\", hue=\"Metric\", palette=\"viridis\")\n", - "plt.title(\"Impact of Vaccine Availability on Mortality and Recovery Rates\")\n", - "plt.xlabel(\"Availability of Vaccines/Treatments\")\n", - "plt.ylabel(\"Rate (%)\")\n", - "plt.tight_layout()\n", - "plt.show()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_13188\\547848016.py:12: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df_dalys = pd.read_sql(query, connection)\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n", - "c:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if pd.api.types.is_categorical_dtype(vector):\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " DiseaseName TotalDALYs\n", - "0 Asthma 12889410.0\n", - "1 Influenza 12885168.0\n", - "2 Leprosy 12881995.0\n", - "3 Ebola 12795525.0\n", - "4 Diabetes 12793286.0\n", - "5 COVID-19 12609290.0\n", - "6 HIV/AIDS 12599253.0\n", - "7 Cholera 12580108.0\n", - "8 Alzheimer's Disease 12543637.0\n", - "9 Zika 12521254.0\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " SUM(DALYs) AS TotalDALYs\n", - "FROM HealthStatistics\n", - "GROUP BY DiseaseName\n", - "ORDER BY TotalDALYs DESC\n", - "LIMIT 10;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a DataFrame\n", - "df_dalys = pd.read_sql(query, connection)\n", - "\n", - "# Display the top diseases contributing to DALYs\n", - "print(df_dalys)\n", - "\n", - "\n", - "# Bar plot for top diseases by DALYs\n", - "plt.figure(figsize=(10, 6))\n", - "sns.barplot(data=df_dalys, x=\"TotalDALYs\", y=\"DiseaseName\", palette=\"viridis\")\n", - "plt.title(\"Top Diseases Contributing to DALYs Globally\")\n", - "plt.xlabel(\"Total DALYs\")\n", - "plt.ylabel(\"Disease Name\")\n", - "plt.tight_layout()\n", - "plt.show()\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.10" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/Business Challenge EDA and SQL_home.ipynb b/Business Challenge EDA and SQL_home.ipynb deleted file mode 100644 index 1fce37c..0000000 --- a/Business Challenge EDA and SQL_home.ipynb +++ /dev/null @@ -1,692 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Business Challenge: EDA and SQL\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import csv\n", - "import chardet\n", - "\n", - "file_path = \"Global Health Statistics.csv\"\n", - "\n", - "# count numer of rows\n", - "with open(file_path, 'r', encoding='utf-8') as file:\n", - " reader = csv.reader(file)\n", - " row_count = sum(1 for row in reader)\n", - "\n", - "# show encoding\n", - "with open(file_path, 'rb') as file:\n", - " raw_data = file.read()\n", - " result = chardet.detect(raw_data)\n", - " encoding = result['encoding']\n", - "\n", - "print(f\"Total number of rows: {row_count}\")\n", - "print(f\"Detected Encoding: {encoding}\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import csv\n", - "import chardet\n", - "\n", - "# The original dataset is taking too long to insert, so I split into 10 chunks. \n", - "\n", - "input_file = \"Global Health Statistics.csv\"\n", - "num_chunks = 10 # Number of chunks to split the file into\n", - "\n", - "# Detect encoding of the file\n", - "with open(input_file, 'rb') as file:\n", - " raw_data = file.read()\n", - " result = chardet.detect(raw_data)\n", - " encoding = result['encoding']\n", - "\n", - "# Count total rows in the file\n", - "with open(input_file, 'r', encoding=encoding) as infile:\n", - " total_rows = sum(1 for _ in infile) - 1 # Subtract 1 for the header row\n", - "\n", - "# Calculate rows per chunk\n", - "rows_per_chunk = total_rows // num_chunks\n", - "remainder = total_rows % num_chunks # Handle any leftover rows\n", - "\n", - "# Split the file into chunks\n", - "with open(input_file, 'r', encoding=encoding) as infile:\n", - " reader = csv.reader(infile)\n", - " header = next(reader) # Save the header row\n", - "\n", - " chunk_number = 1\n", - " rows = []\n", - "\n", - " for i, row in enumerate(reader, start=1):\n", - " rows.append(row)\n", - " if len(rows) == rows_per_chunk + (1 if remainder > 0 else 0): # Add 1 row for chunks with remainder\n", - " output_file = f\"chunk_{chunk_number}.csv\"\n", - " with open(output_file, 'w', encoding='utf-8', newline='') as outfile:\n", - " writer = csv.writer(outfile)\n", - " writer.writerow(header) # Write the header\n", - " writer.writerows(rows)\n", - " chunk_number += 1\n", - " rows = [] # Clear the list for the next chunk\n", - " if remainder > 0:\n", - " remainder -= 1 # Decrease the remainder for the next chunk\n", - "\n", - " # Write the remaining rows\n", - " if rows:\n", - " output_file = f\"chunk_{chunk_number}.csv\"\n", - " with open(output_file, 'w', encoding='utf-8', newline='') as outfile:\n", - " writer = csv.writer(outfile)\n", - " writer.writerow(header)\n", - " writer.writerows(rows)\n", - "\n", - "print(f\"File successfully split into {chunk_number} chunks.\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "\n", - "# Path to the folder containing the chunks\n", - "chunk_folder = r\"C:\\ProgramData\\MySQL\\MySQL Server 9.1\\Uploads\\chunks\"\n", - "\n", - "# Connect to MySQL\n", - "\n", - "# Load each chunk file sequentially\n", - "for chunk_number in range(1, 11): # Assuming chunks are named chunk_1.csv to chunk_10.csv\n", - " chunk_file = os.path.join(chunk_folder, f\"chunk_{chunk_number}.csv\")\n", - " print(f\"Loading {chunk_file}...\")\n", - " \n", - " # Construct the LOAD DATA INFILE query\n", - " query = \"\"\"\n", - " LOAD DATA INFILE '{chunk_file}'\n", - " INTO TABLE healthstatistics\n", - " FIELDS TERMINATED BY ',' \n", - " ENCLOSED BY '\"'\n", - " LINES TERMINATED BY '\\\\n'\n", - " IGNORE 1 LINES\n", - " (\n", - " Country, Year, DiseaseName, DiseaseCategory, PrevalenceRate, IncidenceRate, MortalityRate, AgeGroup, Gender, PopulationAffected, \n", - " HealthcareAccess, DoctorsPer1000, HospitalBedsPer1000, TreatmentType, AverageTreatmentCost, AvailabilityOfVaccinesTreatment, RecoveryRate, DALYs,\n", - " ImprovementIn5Years, PerCapitaIncome, EducationIndex, UrbanizationRate\n", - " );\n", - " \"\"\".format(chunk_file=chunk_file.replace(\"\\\\\", \"/\"))\n", - " \n", - " try:\n", - " cursor.execute(query)\n", - " connection.commit()\n", - " print(f\"Successfully loaded {chunk_file}\")\n", - " except pymysql.MySQLError as e:\n", - " print(f\"Error loading {chunk_file}: {e}\")\n", - "\n", - "# Close the connection\n", - "# cursor.close()\n", - "# connection.close()\n", - "# print(\"All chunks loaded successfully.\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# import pymysql\n", - "\n", - "# Switch to SQLAlchemy, because of UserWarning: \n", - "from sqlalchemy import create_engine\n", - "\n", - "# Database connection settings\n", - "host = \"localhost\" # host, e.g., 127.0.0.1 or a server address\n", - "user = \"root\" # MySQL username\n", - "password = \"Malcomx1\" # MySQL password\n", - "database = \"GlobalHealth\" # database name\n", - "\n", - "# # Establish the connection\n", - "# connection = pymysql.connect(\n", - "# host=host,\n", - "# user=user,\n", - "# password=password,\n", - "# database=database\n", - "# )\n", - "\n", - "# creates a SQLAlchemy engine, which serves as the entry point for interacting with the database\n", - "engine = create_engine(f\"mysql+pymysql://{user}:{password}@{host}/{database}\")\n", - "\n", - "print(f\"Connected to the {database} database successfully!\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Switch to SQLAlchemy, because of UserWarning: \n", - "\n", - "import pandas as pd\n", - "\n", - "query = \"\"\"\n", - "SELECT *\n", - "FROM HealthStatistics\n", - "WHERE RAND() <= 0.2;\n", - "\"\"\"\n", - "\n", - "df_healtstatistics_sample = pd.read_sql(query, engine)\n", - "\n", - "print(df_healtstatistics_sample)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Switch to SQLAlchemy, because of UserWarning: \n", - "\n", - "# Trying a filter for Malaria in 2020\n", - "query = \"\"\"\n", - "SELECT *\n", - "FROM HealthStatistics\n", - "WHERE Year = 2020 AND DiseaseName = 'Malaria';\n", - "\"\"\"\n", - "df_filtered = pd.read_sql(query, engine)\n", - "\n", - "print(df_filtered)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Question 1:\n", - "# Which infectious diseases have the highest prevalence rates globally, and how have these rates changed over the past 5 years?\n", - "\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# SQL query to fetch data\n", - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " DiseaseCategory,\n", - " Year,\n", - " PrevalenceRate\n", - "FROM HealthStatistics\n", - "WHERE\n", - " DiseaseCategory = 'Infectious'\n", - " AND Year BETWEEN 2020 AND 2024\n", - "ORDER BY\n", - " Year DESC;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a pandas DataFrame\n", - "df_question1 = pd.read_sql(query, engine)\n", - "\n", - "# Analyze the data\n", - "# Step 1: Group data to find the highest average prevalence rates globally\n", - "highest_prevalence = (\n", - " df_question1.groupby(\"DiseaseName\")\n", - " .agg(\n", - " Avg_Prevalence=(\"PrevalenceRate\", \"mean\"),\n", - " Total_Prevalence=(\"PrevalenceRate\", \"sum\")\n", - " )\n", - " .sort_values(by=\"Avg_Prevalence\", ascending=False)\n", - ")\n", - "\n", - "# Step 2: Analyze the change in prevalence rates over the last 5 years\n", - "recent_years = df_question1[df_question1['Year'] >= df_question1['Year'].max() - 5]\n", - "\n", - "prevalence_change = (\n", - " recent_years.groupby(\"DiseaseName\")\n", - " .agg(\n", - " Initial_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[0]),\n", - " Latest_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[-1])\n", - " )\n", - " .assign(Change_in_Prevalence=lambda x: x[\"Latest_Prevalence\"] - x[\"Initial_Prevalence\"])\n", - " .sort_values(by=\"Change_in_Prevalence\", ascending=False)\n", - ")\n", - "\n", - "# Step 3: Merge both results\n", - "result = highest_prevalence.merge(prevalence_change, on=\"DiseaseName\", how=\"inner\")\n", - "\n", - "# Display results\n", - "print(\"\\nTop Infectious Diseases by Prevalence:\")\n", - "print(highest_prevalence.head(10))\n", - "\n", - "print(\"\\nChange in Prevalence Rates Over the Last 5 Years:\")\n", - "print(prevalence_change.head(10))\n", - "\n", - "# Step 4: Sort data by year\n", - "df_question1_sorted = df_question1.sort_values(by='Year')\n", - "\n", - "# Step 5: Select top 5 diseases by highest average prevalence rates\n", - "top_diseases = highest_prevalence.head(5).index\n", - "\n", - "# Filter data for the top 5 diseases\n", - "top_diseases_data = df_question1_sorted[df_question1_sorted['DiseaseName'].isin(top_diseases)]\n", - "\n", - "# Aggregate data by DiseaseName and Year\n", - "aggregated_data = (\n", - " top_diseases_data.groupby(['DiseaseName', 'Year'])\n", - " .agg({'PrevalenceRate': 'mean'})\n", - " .reset_index()\n", - ")\n", - "\n", - "# Plot the aggregated data\n", - "sns.set_theme(style=\"whitegrid\")\n", - "plt.figure(figsize=(12, 7))\n", - "palette = sns.color_palette(\"husl\", len(top_diseases)) # colorful theme\n", - "\n", - "for i, (disease, group) in enumerate(aggregated_data.groupby('DiseaseName')):\n", - " plt.plot(group['Year'], group['PrevalenceRate'], \n", - " marker='o', label=disease, color=palette[i], linewidth=2.5)\n", - "\n", - "# Add labels and title\n", - "plt.title('Prevalence Rate per Year for Top 5 Diseases', fontsize=16, weight='bold')\n", - "plt.xlabel('Year', fontsize=14)\n", - "plt.ylabel('Prevalence Rate', fontsize=14)\n", - "plt.xticks(sorted(aggregated_data['Year'].unique()), fontsize=12, rotation=45)\n", - "plt.yticks(fontsize=12)\n", - "plt.legend(title=\"Disease Name\", fontsize=12, title_fontsize=14)\n", - "plt.grid(True, which='major', linestyle='--', linewidth=0.5, alpha=0.7)\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Question 2:\n", - "# Which age groups and genders are most affected by high-prevalence infectious diseases? \n", - "# Are there significant disparities?\n", - "\n", - "def get_high_prevalence_data(connection: pymysql.connections.Connection, diseasecategory: str) -> pd.DataFrame:\n", - " \"\"\" \n", - " This function queries the `HealthStatistics` table to compute the average prevalence rate and \n", - " the total affected population for each combination of age group and gender within the specified \n", - " disease category. It filters the data to include only those entries where the prevalence rate \n", - " is greater than the average prevalence rate.\n", - "\n", - " Args:\n", - " connection (pymysql.connections.Connection): A valid database connection created with PyMySQL.\n", - " diseasecategory (str): The disease category to filter on (e.g., 'Infectious').\n", - "\n", - " Returns:\n", - " pd.DataFrame: A pandas DataFrame containing columns:\n", - " - `AgeGroup`: The age group.\n", - " - `Gender`: The gender (Male, Female, Other).\n", - " - `AvgPrevalence`: The average prevalence rate for the group.\n", - " - `TotalAffected`: The total population affected for the group.\n", - " \"\"\"\n", - " \n", - " \n", - " query = \"\"\"\n", - " SELECT\n", - " AgeGroup,\n", - " Gender,\n", - " AVG(PrevalenceRate) AS AvgPrevalence,\n", - " SUM(PopulationAffected) AS TotalAffected\n", - " FROM HealthStatistics\n", - " WHERE\n", - " DiseaseCategory = %s\n", - " AND PrevalenceRate > (\n", - " SELECT AVG(PrevalenceRate)\n", - " FROM HealthStatistics\n", - " WHERE DiseaseCategory = %s\n", - " )\n", - " GROUP BY AgeGroup, Gender\n", - " ORDER BY AvgPrevalence DESC;\n", - " \"\"\"\n", - " params = (diseasecategory, diseasecategory)\n", - " return pd.read_sql(query, connection, params=params)\n", - "\n", - "# Call the function\n", - "df_question2 = get_high_prevalence_data(connection, 'Infectious')\n", - "\n", - "# df_question2 = pd.read_sql(query_2, connection)\n", - "\n", - "age_order = ['0-18', '19-35', '36-60', '61+']\n", - "\n", - "df_question2['AgeGroup'] = pd.Categorical(df_question2['AgeGroup'], categories=age_order, ordered=True)\n", - "\n", - "# Plot the graph with the updated order\n", - "plt.figure(figsize=(10, 6))\n", - "sns.barplot(\n", - " data=df_question2,\n", - " x=\"AgeGroup\",\n", - " y=\"AvgPrevalence\",\n", - " hue=\"Gender\",\n", - " palette=\"viridis\"\n", - ")\n", - "plt.title(\"Prevalence Rate of by Age Group and Gender\")\n", - "plt.xlabel(\"Age Group\")\n", - "plt.ylabel(\"Average Prevalence Rate (%)\")\n", - "plt.xticks(rotation=45)\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Question 3: \n", - "# Is there a correlation between healthcare access, the number of doctors per 1000 people, \n", - "# and the recovery rate for specific diseases?\n", - "\n", - "query_3 = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AVG(HealthcareAccess) AS AvgHealthcareAccess,\n", - " AVG(DoctorsPer1000) AS AvgDoctorsPer1000,\n", - " AVG(RecoveryRate) AS AvgRecoveryRate\n", - "FROM HealthStatistics\n", - "GROUP BY DiseaseName;\n", - "\"\"\"\n", - "\n", - "df_question3 = pd.read_sql(query_3, connection)\n", - "print(df_question3.head())\n", - "\n", - "correlation_matrix = df_question3[[\n", - " 'AvgHealthcareAccess',\n", - " 'AvgDoctorsPer1000',\n", - " 'AvgRecoveryRate'\n", - "]].corr()\n", - "\n", - "print(correlation_matrix)\n", - "\n", - "plt.figure(figsize=(8, 6))\n", - "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", - "plt.title(\"Correlation Between Healthcare Access, Doctors, and Recovery Rate\")\n", - "plt.show()\n", - "\n", - "\n", - "sns.pairplot(\n", - " df_question3,\n", - " vars=['AvgHealthcareAccess', 'AvgDoctorsPer1000', 'AvgRecoveryRate'],\n", - " kind=\"reg\"\n", - ")\n", - "plt.suptitle(\"Relationships Between Healthcare Access, Doctors, and Recovery Rate\", y=1.02)\n", - "plt.show()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Question 4: \n", - "# Which infectious diseases have the highest mortality rates, and how do socioeconomic factors \n", - "# (e.g., per capita income, education index) influence these rates?\n", - "\n", - "query_4 = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AVG(MortalityRate) AS AvgMortalityRate,\n", - " AVG(PerCapitaIncome) AS AvgPerCapitaIncome,\n", - " AVG(EducationIndex) AS AvgEducationIndex\n", - "FROM HealthStatistics\n", - "GROUP BY DiseaseName\n", - "ORDER BY AvgMortalityRate DESC\n", - "LIMIT 10;\n", - "\"\"\"\n", - "\n", - "df_question4 = pd.read_sql(query_4, connection)\n", - "# df_question4.describe()\n", - "print(df_question4.head())\n", - "\n", - "\n", - "# Calculate correlations\n", - "correlation_matrix = df_question4[[\n", - " 'AvgMortalityRate', \n", - " 'AvgPerCapitaIncome', \n", - " 'AvgEducationIndex'\n", - "]].corr()\n", - "\n", - "print(correlation_matrix)\n", - "\n", - "plt.figure(figsize=(8, 6))\n", - "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n", - "plt.title(\"Correlation Between Mortality Rate and Socioeconomic Factors\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Question 5:\n", - "# Does the urbanization rate affect the incidence and prevalence rates of infectious diseases? \n", - "# Are urban areas more vulnerable to certain outbreaks?\n", - "\n", - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AVG(UrbanizationRate) AS AvgUrbanizationRate,\n", - " AVG(IncidenceRate) AS AvgIncidenceRate,\n", - " AVG(PrevalenceRate) AS AvgPrevalenceRate\n", - "FROM HealthStatistics\n", - "WHERE DiseaseCategory = 'Infectious'\n", - "GROUP BY DiseaseName\n", - "ORDER BY AvgUrbanizationRate DESC;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a pandas DataFrame\n", - "df_urbanization = pd.read_sql(query, connection)\n", - "\n", - "df_urbanization.describe()\n", - "# Calculate correlation\n", - "correlation_matrix = df_urbanization[[\n", - " 'AvgUrbanizationRate',\n", - " 'AvgIncidenceRate',\n", - " 'AvgPrevalenceRate'\n", - "]].corr()\n", - "\n", - "print(correlation_matrix)\n", - "\n", - " \n", - "plt.figure(figsize=(8, 6))\n", - "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\")\n", - "plt.title(\"Correlation Between Urbanization and Disease Metrics\")\n", - "plt.show()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# 6.\tEconomic Burden:\n", - "# What is the average treatment cost (USD) for the most common infectious diseases, \n", - "# and how does it compare to the per capita income in different countries?\n", - "\n", - "# Define a query to calculate the average treatment cost for common infectious diseases\n", - "query_treatment_cost = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AVG(TreatmentCostUSD) AS AvgTreatmentCost,\n", - " Country,\n", - " AVG(PerCapitaIncome) AS AvgPerCapitaIncome\n", - "FROM HealthStatistics\n", - "WHERE DiseaseCategory = 'Infectious'\n", - "GROUP BY DiseaseName, Country\n", - "ORDER BY AvgTreatmentCost DESC;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a DataFrame\n", - "df_treatment_cost = pd.read_sql(query_treatment_cost, connection)\n", - "\n", - "# Display the first few rows of the resulting DataFrame\n", - "df_treatment_cost.head()\n", - "\n", - "# Visualizing the comparison between treatment cost and per capita income\n", - "\n", - "\n", - "# Create a scatter plot to compare treatment costs and per capita income\n", - "plt.figure(figsize=(12, 8))\n", - "sns.scatterplot(\n", - " data=df_treatment_cost,\n", - " x=\"AvgPerCapitaIncome\",\n", - " y=\"AvgTreatmentCost\",\n", - " hue=\"DiseaseName\",\n", - " palette=\"Set2\",\n", - " s=100,\n", - " alpha=0.8\n", - ")\n", - "\n", - "plt.title(\"Comparison of Average Treatment Cost and Per Capita Income\", fontsize=16)\n", - "plt.xlabel(\"Average Per Capita Income (USD)\", fontsize=12)\n", - "plt.ylabel(\"Average Treatment Cost (USD)\", fontsize=12)\n", - "plt.legend(title=\"Disease Name\", bbox_to_anchor=(1.05, 1), loc='upper left')\n", - "plt.tight_layout()\n", - "plt.show()\n", - "\n", - "# Summary statistics of treatment cost vs. per capita income\n", - "df_treatment_cost.describe()\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# How does the availability of vaccines or treatments impact the mortality and recovery rates for specific infectious diseases?\n", - "\n", - "\n", - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " AvailabilityOfVaccinesTreatment,\n", - " AVG(MortalityRate) AS AvgMortalityRate,\n", - " AVG(RecoveryRate) AS AvgRecoveryRate\n", - "FROM HealthStatistics\n", - "WHERE DiseaseCategory = 'Infectious'\n", - "GROUP BY DiseaseName, AvailabilityOfVaccinesTreatment\n", - "ORDER BY AvgMortalityRate DESC;\n", - "\"\"\"\n", - "\n", - "df_vaccine = pd.read_sql(query, connection)\n", - "print(df_vaccine.head())\n", - "\n", - "df_summary = df_vaccine.groupby(\"AvailabilityOfVaccinesTreatment\").agg({\n", - " \"AvgMortalityRate\": \"mean\",\n", - " \"AvgRecoveryRate\": \"mean\"\n", - "}).reset_index()\n", - "\n", - "print(df_summary)\n", - "\n", - "\n", - "# Bar plot for Mortality and Recovery Rates by Vaccine Availability\n", - "df_melted = df_summary.melt(id_vars=\"AvailabilityOfVaccinesTreatment\", \n", - " value_vars=[\"AvgMortalityRate\", \"AvgRecoveryRate\"],\n", - " var_name=\"Metric\", \n", - " value_name=\"Rate\")\n", - "\n", - "plt.figure(figsize=(8, 5))\n", - "sns.barplot(data=df_melted, x=\"AvailabilityOfVaccinesTreatment\", y=\"Rate\", hue=\"Metric\", palette=\"viridis\")\n", - "plt.title(\"Impact of Vaccine Availability on Mortality and Recovery Rates\")\n", - "plt.xlabel(\"Availability of Vaccines/Treatments\")\n", - "plt.ylabel(\"Rate (%)\")\n", - "plt.tight_layout()\n", - "plt.show()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Which diseases contribute the most to DALYs (Disability-Adjusted Life Years)?\n", - "\n", - "\n", - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " SUM(DALYs) AS TotalDALYs\n", - "FROM HealthStatistics\n", - "GROUP BY DiseaseName\n", - "ORDER BY TotalDALYs DESC\n", - "LIMIT 10;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a DataFrame\n", - "df_dalys = pd.read_sql(query, connection)\n", - "\n", - "# Display the top diseases contributing to DALYs\n", - "print(df_dalys)\n", - "\n", - "\n", - "# Bar plot for top diseases by DALYs\n", - "plt.figure(figsize=(10, 6))\n", - "sns.barplot(data=df_dalys, x=\"TotalDALYs\", y=\"DiseaseName\", palette=\"viridis\")\n", - "plt.title(\"Top Diseases Contributing to DALYs Globally\")\n", - "plt.xlabel(\"Total DALYs\")\n", - "plt.ylabel(\"Disease Name\")\n", - "plt.tight_layout()\n", - "plt.show()\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - 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53d8277..83df33e 100644 --- a/Business Challenge EDA and SQL.ipynb +++ b/Business Challenge EDA and SQL.ipynb @@ -210,17 +210,9 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Connected to the GlobalHealth database successfully!\n" - ] - } - ], + "outputs": [], "source": [ "import pymysql\n", "import pandas as pd\n", @@ -260,17 +252,9 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Connected to the GlobalHealth database successfully!\n" - ] - } - ], + "outputs": [], "source": [ "# Switch to SQLAlchemy, because of UserWarning: \n", "from sqlalchemy import create_engine\n", @@ -339,10 +323,7 @@ " except pymysql.MySQLError as e:\n", " print(f\"Error loading {chunk_file}: {e}\")\n", "\n", - "# Close the connection\n", - "# cursor.close()\n", - "# connection.close()\n", - "# print(\"All chunks loaded successfully.\")\n" + "\n" ] }, { @@ -358,11 +339,11 @@ "\n", "def descriptive_statistics(data, alpha=0.05):\n", " \"\"\"\n", - " Calculate various descriptive statistics for numerical continuous data.\n", + " Calculates descriptive statistics for numerical continuous data.\n", " \n", - " Parameters\n", + " Params\n", " ----------\n", - " data : array-like\n", + " data : array\n", " A 1D list or numpy array of numerical data (continuous).\n", " alpha : float, optional\n", " Significance level for confidence intervals (default is 0.05, i.e., 95% CI).\n", @@ -394,7 +375,7 @@ " data = np.array(data, dtype=float)\n", " data = data[np.isfinite(data)]\n", " \n", - " # Edge case: if data is empty or has 1 element, handle gracefully\n", + " # Edge case: if data is empty or has 1 element return error\n", " if len(data) < 1:\n", " return {\n", " 'count': 0,\n", @@ -450,7 +431,6 @@ " range_ = max_ - min_\n", " \n", " # Mode: can return multiple values; we'll pick the first.\n", - " # SciPy >= 1.11 returns mode as an array; older versions return a single value.\n", " mode_res = stats.mode(data, keepdims=True)\n", " mode_ = mode_res.mode[0] if hasattr(mode_res, 'mode') else mode_res[0]\n", "\n", @@ -465,7 +445,6 @@ " percentile_dict = {'5th': p5, '95th': p95}\n", " \n", " # Median Absolute Deviation (MAD)\n", - " # SciPy 1.7+ has stats.median_abs_deviation.\n", " # If your version doesn't have it, you can compute manually:\n", " mad_ = stats.median_abs_deviation(data, scale='normal')\n", "\n", @@ -474,13 +453,13 @@ " kurt_ = stats.kurtosis(data, bias=False)\n", "\n", " # Coefficient of Variation (CV)\n", - " # Guard against division by zero if mean_ is 0.\n", + " # check against division by zero if mean_ is 0.\n", " cv_ = std_ / mean_ if mean_ != 0 else None\n", "\n", " # Standard Error of the Mean (SE)\n", " sem_ = std_ / np.sqrt(n)\n", "\n", - " # Confidence Interval (we'll use t-distribution for smaller samples)\n", + " # Confidence Interval, t-dist\n", " # For large n, this approximates the normal distribution CI.\n", " # alpha = 0.05 => 95% CI\n", " t_critical = stats.t.ppf(1 - alpha/2, df=n-1)\n", @@ -518,339 +497,17 @@ " int, decimal, float, or double (case-insensitive)\n", " \"\"\"\n", " return bool(re.match(r\"^(int|decimal|float|double)\", mysql_type.lower()))\n", - "\n", - "\n", - "\n", - "\n", "\n" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Descriptive Statistics DataFrame:\n", - "\n", - " id \\\n", - "Statistic \n", - "count 1000002 \n", - "mean 639814.551443 \n", - "median 624279.5 \n", - "std 377575.482077 \n", - "variance 142563244665.866272 \n", - "range 1279629.0 \n", - "min 1.0 \n", - "max 1279630.0 \n", - "mode 1.0 \n", - "iqr 655350.0 \n", - "quartiles (312139.25, 624279.5, 967489.75) \n", - "percentiles {'5th': 50001.05, '95th': 1229629.95} \n", - "mad 485812.42325 \n", - "skewness 0.000003 \n", - "kurtosis -1.210015 \n", - "cv 0.590133 \n", - "standard_error 377.575105 \n", - "confidence_interval (639074.5169409028, 640554.5859448913) \n", - "\n", - " PrevalenceRate \\\n", - "Statistic \n", - "count 1000000 \n", - "mean 10.047992 \n", - "median 10.04 \n", - "std 5.740189 \n", - "variance 32.949774 \n", - "range 19.9 \n", - "min 0.1 \n", - "max 20.0 \n", - "mode 15.87 \n", - "iqr 9.92 \n", - "quartiles (5.09, 10.04, 15.01) \n", - "percentiles {'5th': 1.1, '95th': 19.0} \n", - "mad 7.353707 \n", - "skewness 0.000931 \n", - "kurtosis -1.198858 \n", - "cv 0.571277 \n", - "standard_error 0.00574 \n", - "confidence_interval (10.036741282001856, 10.059242437998144) \n", - "\n", - " IncidenceRate \\\n", - "Statistic \n", - "count 1000000 \n", - "mean 7.555005 \n", - "median 7.55 \n", - "std 4.298947 \n", - "variance 18.480943 \n", - "range 14.9 \n", - "min 0.1 \n", - "max 15.0 \n", - "mode 5.28 \n", - "iqr 7.44 \n", - "quartiles (3.84, 7.55, 11.28) \n", - "percentiles {'5th': 0.85, '95th': 14.25} \n", - "mad 5.51528 \n", - "skewness -0.000185 \n", - "kurtosis -1.198913 \n", - "cv 0.56902 \n", - "standard_error 0.004299 \n", - "confidence_interval (7.546579609033449, 7.563431190966549) \n", - "\n", - " MortalityRate \\\n", - "Statistic \n", - "count 1000000 \n", - "mean 5.049919 \n", - "median 5.05 \n", - "std 2.859427 \n", - "variance 8.17632 \n", - "range 9.9 \n", - "min 0.1 \n", - "max 10.0 \n", - "mode 6.54 \n", - "iqr 4.95 \n", - "quartiles (2.58, 5.05, 7.53) \n", - "percentiles {'5th': 0.59, '95th': 9.51} \n", - "mad 3.676854 \n", - "skewness 0.000879 \n", - "kurtosis -1.200907 \n", - "cv 0.566232 \n", - "standard_error 0.002859 \n", - "confidence_interval (5.044314480202827, 5.055523239797171) \n", - "\n", - " HealthcareAccess \\\n", - "Statistic \n", - "count 1000000 \n", - "mean 74.987835 \n", - "median 75.0 \n", - "std 14.436345 \n", - "variance 208.408062 \n", - "range 50.0 \n", - "min 50.0 \n", - "max 100.0 \n", - "mode 59.01 \n", - "iqr 25.02 \n", - "quartiles (62.47, 75.0, 87.49) \n", - "percentiles {'5th': 52.48, '95th': 97.49} \n", - "mad 18.547354 \n", - "skewness -0.00036 \n", - "kurtosis -1.200802 \n", - "cv 0.192516 \n", - "standard_error 0.014436 \n", - "confidence_interval (74.95954052911466, 75.01613003088539) \n", - "\n", - " DoctorsPer1000 \\\n", - "Statistic \n", - "count 1000000 \n", - "mean 2.747929 \n", - "median 2.75 \n", - "std 1.299067 \n", - "variance 1.687574 \n", - "range 4.5 \n", - "min 0.5 \n", - "max 5.0 \n", - "mode 2.47 \n", - "iqr 2.25 \n", - "quartiles (1.62, 2.75, 3.87) \n", - "percentiles {'5th': 0.72, '95th': 4.77} \n", - "mad 1.660514 \n", - "skewness 0.002222 \n", - "kurtosis -1.199245 \n", - "cv 0.472744 \n", - "standard_error 0.001299 \n", - "confidence_interval (2.745383093223196, 2.7504753467768057) \n", - "\n", - " HospitalBedsPer1000 \\\n", - "Statistic \n", - "count 1000000 \n", - "mean 5.245931 \n", - "median 5.24 \n", - "std 2.742865 \n", - "variance 7.523309 \n", - "range 9.5 \n", - "min 0.5 \n", - "max 10.0 \n", - "mode 7.22 \n", - "iqr 4.75 \n", - "quartiles (2.87, 5.24, 7.62) \n", - "percentiles {'5th': 0.97, '95th': 9.52} \n", - "mad 3.513767 \n", - "skewness 0.001393 \n", - "kurtosis -1.199524 \n", - "cv 0.522856 \n", - "standard_error 0.002743 \n", - "confidence_interval (5.24055500659994, 5.251306853400064) \n", - "\n", - " AverageTreatmentCost \\\n", - "Statistic \n", - "count 1000000 \n", - "mean 25010.313665 \n", - "median 24980.0 \n", - "std 14402.279227 \n", - "variance 207425646.935116 \n", - "range 49900.0 \n", - "min 100.0 \n", - "max 50000.0 \n", - "mode 11248.0 \n", - "iqr 24955.0 \n", - "quartiles (12538.0, 24980.0, 37493.0) \n", - "percentiles {'5th': 2593.0, '95th': 47477.0} \n", - "mad 18498.42788 \n", - "skewness 0.002935 \n", - "kurtosis -1.200232 \n", - "cv 0.575854 \n", - "standard_error 14.402279 \n", - "confidence_interval (24982.085682253426, 25038.541647746577) \n", - "\n", - " RecoveryRate \\\n", - "Statistic \n", - "count 1000000 \n", - "mean 74.496934 \n", - "median 74.47 \n", - "std 14.155168 \n", - "variance 200.368785 \n", - "range 49.0 \n", - "min 50.0 \n", - "max 99.0 \n", - "mode 60.78 \n", - "iqr 24.56 \n", - "quartiles (62.22, 74.47, 86.78) \n", - "percentiles {'5th': 52.45, '95th': 96.56} \n", - "mad 18.206355 \n", - "skewness 0.000639 \n", - "kurtosis -1.202015 \n", - "cv 0.19001 \n", - "standard_error 0.014155 \n", - "confidence_interval (74.46919013664996, 74.52467744334999) \n", - "\n", - " DALYs \\\n", - "Statistic \n", - "count 1000000 \n", - "mean 2499.144809 \n", - "median 2499.0 \n", - "std 1443.923798 \n", - "variance 2084915.933175 \n", - "range 4999.0 \n", - "min 1.0 \n", - "max 5000.0 \n", - "mode 4815.0 \n", - "iqr 2505.0 \n", - "quartiles (1245.0, 2499.0, 3750.0) \n", - "percentiles {'5th': 250.0, '95th': 4751.0} \n", - "mad 1856.217978 \n", - "skewness 0.00133 \n", - "kurtosis -1.201265 \n", - "cv 0.577767 \n", - "standard_error 1.443924 \n", - "confidence_interval (2496.3147669349655, 2501.9748510650343) \n", - "\n", - " ImprovementIn5Years \\\n", - "Statistic \n", - "count 1000000 \n", - "mean 5.002593 \n", - "median 5.0 \n", - "std 2.888298 \n", - "variance 8.342267 \n", - "range 10.0 \n", - "min 0.0 \n", - "max 10.0 \n", - "mode 6.75 \n", - "iqr 5.01 \n", - "quartiles (2.5, 5.0, 7.51) \n", - "percentiles {'5th': 0.5, '95th': 9.5} \n", - "mad 3.706506 \n", - "skewness -0.000645 \n", - "kurtosis -1.201894 \n", - "cv 0.57736 \n", - "standard_error 0.002888 \n", - "confidence_interval (4.9969317024391335, 5.008253637560862) \n", - "\n", - " PerCapitaIncome \\\n", - "Statistic \n", - "count 1000000 \n", - "mean 50311.099835 \n", - "median 50372.0 \n", - "std 28726.959359 \n", - "variance 825238194.00811 \n", - "range 99500.0 \n", - "min 500.0 \n", - "max 100000.0 \n", - "mode 50248.0 \n", - "iqr 49738.0 \n", - "quartiles (25457.0, 50372.0, 75195.0) \n", - "percentiles {'5th': 5485.0, '95th': 95058.04999999993} \n", - "mad 36867.869368 \n", - "skewness -0.002948 \n", - "kurtosis -1.199428 \n", - "cv 0.570987 \n", - "standard_error 28.726959 \n", - "confidence_interval (50254.795961122916, 50367.403708877086) \n", - "\n", - " EducationIndex \\\n", - "Statistic \n", - "count 1000000 \n", - "mean 0.650069 \n", - "median 0.65 \n", - "std 0.144472 \n", - "variance 0.020872 \n", - "range 0.5 \n", - "min 0.4 \n", - "max 0.9 \n", - "mode 0.67 \n", - "iqr 0.25 \n", - "quartiles (0.53, 0.65, 0.78) \n", - "percentiles {'5th': 0.42, '95th': 0.88} \n", - "mad 0.192738 \n", - "skewness -0.000479 \n", - "kurtosis -1.198807 \n", - "cv 0.222242 \n", - "standard_error 0.000144 \n", - "confidence_interval (0.6497854292976661, 0.650351750702334) \n", - "\n", - " UrbanizationRate \n", - "Statistic \n", - "count 1000000 \n", - "mean 54.985212 \n", - "median 54.98 \n", - "std 20.214042 \n", - "variance 408.607497 \n", - "range 70.0 \n", - "min 20.0 \n", - "max 90.0 \n", - "mode 21.79 \n", - "iqr 35.04 \n", - "quartiles (37.47, 54.98, 72.51) \n", - "percentiles {'5th': 23.5, '95th': 86.51} \n", - "mad 25.975191 \n", - "skewness 0.001612 \n", - "kurtosis -1.200353 \n", - "cv 0.367627 \n", - "standard_error 0.020214 \n", - "confidence_interval (54.94559350758029, 55.024831192419676) \n", - "\n", - "Distinct categorical values for DiseaseCategory:\n", - "('Respiratory', 90588)\n", - "('Parasitic', 91178)\n", - "('Genetic', 91153)\n", - "('Autoimmune', 91153)\n", - "('Bacterial', 90509)\n", - "('Cardiovascular', 90968)\n", - "('Neurological', 91000)\n", - "('Chronic', 90445)\n", - "('Metabolic', 91332)\n", - "('Infectious', 90764)\n", - "('Viral', 90910)\n", - "(None, 2)\n", - "\n", - "Null values per column:\n", - "{'id': Decimal('0'), 'Country': Decimal('0'), 'Year': Decimal('0'), 'DiseaseName': Decimal('2'), 'DiseaseCategory': Decimal('2'), 'PrevalenceRate': Decimal('2'), 'IncidenceRate': Decimal('2'), 'MortalityRate': Decimal('2'), 'AgeGroup': Decimal('2'), 'Gender': Decimal('2'), 'PopulationAffected': Decimal('2'), 'HealthcareAccess': Decimal('2'), 'DoctorsPer1000': Decimal('2'), 'HospitalBedsPer1000': Decimal('2'), 'TreatmentType': Decimal('2'), 'AverageTreatmentCost': Decimal('2'), 'AvailabilityOfVaccinesTreatment': Decimal('2'), 'RecoveryRate': Decimal('2'), 'DALYs': Decimal('2'), 'ImprovementIn5Years': Decimal('2'), 'PerCapitaIncome': Decimal('2'), 'EducationIndex': Decimal('2'), 'UrbanizationRate': Decimal('2')}\n", - "Descriptive Statistics Done\n" - ] - } - ], + "outputs": [], "source": [ + "# Generating descriptive statistics \n", + "\n", "try:\n", "\n", " # Get column names and data types dynamically\n", @@ -930,152 +587,13 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\dbigman\\AppData\\Local\\Temp\\ipykernel_14180\\2789501968.py:25: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", - " df = pd.read_sql(query, connection)\n" - ] - }, - { - "ename": "AttributeError", - "evalue": "'Connection' object has no attribute 'cursor'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[34], line 25\u001b[0m\n\u001b[0;32m 9\u001b[0m query \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[0;32m 10\u001b[0m \u001b[38;5;124mSELECT\u001b[39m\n\u001b[0;32m 11\u001b[0m \u001b[38;5;124m DiseaseName,\u001b[39m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 21\u001b[0m \u001b[38;5;124m Year DESC;\u001b[39m\n\u001b[0;32m 22\u001b[0m \u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[0;32m 24\u001b[0m \u001b[38;5;66;03m# Execute the query and load the data into a pandas DataFrame\u001b[39;00m\n\u001b[1;32m---> 25\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_sql\u001b[49m\u001b[43m(\u001b[49m\u001b[43mquery\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconnection\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 27\u001b[0m \u001b[38;5;66;03m# Close the database connection\u001b[39;00m\n\u001b[0;32m 28\u001b[0m \u001b[38;5;66;03m# connection.close()\u001b[39;00m\n\u001b[0;32m 29\u001b[0m \n\u001b[0;32m 30\u001b[0m \u001b[38;5;66;03m# Analyze the data\u001b[39;00m\n\u001b[0;32m 31\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mData retrieved successfully!\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pandas\\io\\sql.py:706\u001b[0m, in \u001b[0;36mread_sql\u001b[1;34m(sql, con, index_col, coerce_float, params, parse_dates, columns, chunksize, dtype_backend, dtype)\u001b[0m\n\u001b[0;32m 704\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m pandasSQL_builder(con) \u001b[38;5;28;01mas\u001b[39;00m pandas_sql:\n\u001b[0;32m 705\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(pandas_sql, SQLiteDatabase):\n\u001b[1;32m--> 706\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mpandas_sql\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_query\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 707\u001b[0m \u001b[43m \u001b[49m\u001b[43msql\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 708\u001b[0m \u001b[43m \u001b[49m\u001b[43mindex_col\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindex_col\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 709\u001b[0m \u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 710\u001b[0m \u001b[43m \u001b[49m\u001b[43mcoerce_float\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcoerce_float\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 711\u001b[0m \u001b[43m \u001b[49m\u001b[43mparse_dates\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparse_dates\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 712\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunksize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunksize\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 713\u001b[0m \u001b[43m \u001b[49m\u001b[43mdtype_backend\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype_backend\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 714\u001b[0m \u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 715\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 717\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 718\u001b[0m _is_table_name \u001b[38;5;241m=\u001b[39m pandas_sql\u001b[38;5;241m.\u001b[39mhas_table(sql)\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pandas\\io\\sql.py:2738\u001b[0m, in \u001b[0;36mSQLiteDatabase.read_query\u001b[1;34m(self, sql, index_col, coerce_float, parse_dates, params, chunksize, dtype, dtype_backend)\u001b[0m\n\u001b[0;32m 2727\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mread_query\u001b[39m(\n\u001b[0;32m 2728\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m 2729\u001b[0m sql,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 2736\u001b[0m dtype_backend: DtypeBackend \u001b[38;5;241m|\u001b[39m Literal[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnumpy\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnumpy\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 2737\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m DataFrame \u001b[38;5;241m|\u001b[39m Iterator[DataFrame]:\n\u001b[1;32m-> 2738\u001b[0m cursor \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43msql\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2739\u001b[0m columns \u001b[38;5;241m=\u001b[39m [col_desc[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m col_desc \u001b[38;5;129;01min\u001b[39;00m cursor\u001b[38;5;241m.\u001b[39mdescription]\n\u001b[0;32m 2741\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", - "File \u001b[1;32mc:\\Users\\dbigman\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\pandas\\io\\sql.py:2672\u001b[0m, in \u001b[0;36mSQLiteDatabase.execute\u001b[1;34m(self, sql, params)\u001b[0m\n\u001b[0;32m 2670\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mQuery must be a string unless using sqlalchemy.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 2671\u001b[0m args \u001b[38;5;241m=\u001b[39m [] \u001b[38;5;28;01mif\u001b[39;00m params \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m [params]\n\u001b[1;32m-> 2672\u001b[0m cur \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcon\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcursor\u001b[49m()\n\u001b[0;32m 2673\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 2674\u001b[0m cur\u001b[38;5;241m.\u001b[39mexecute(sql, \u001b[38;5;241m*\u001b[39margs)\n", - "\u001b[1;31mAttributeError\u001b[0m: 'Connection' object has no attribute 'cursor'" - ] - } - ], + "outputs": [], "source": [ "# Question 1:\n", "# Which infectious diseases have the highest prevalence rates globally, and how have these rates changed over the past 5 years?\n", "\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "\n", - "query = \"\"\"\n", - "SELECT\n", - " DiseaseName,\n", - " DiseaseCategory,\n", - " Year,\n", - " `PrevalenceRate`,\n", - " `ImprovementIn5Years`\n", - "FROM\n", - " HealthStatistics\n", - "WHERE\n", - " DiseaseCategory = 'Infectious'\n", - "ORDER BY\n", - " Year DESC;\n", - "\"\"\"\n", - "\n", - "# Execute the query and load the data into a pandas DataFrame\n", - "df = pd.read_sql(query, connection)\n", - "\n", - "# Close the database connection\n", - "# connection.close()\n", - "\n", - "# Analyze the data\n", - "print(\"Data retrieved successfully!\")\n", - "\n", - "# Group data to find the highest average prevalence rates globally\n", - "highest_prevalence = (\n", - " df.groupby(\"DiseaseName\")\n", - " .agg(\n", - " Avg_Prevalence=(\"PrevalenceRate\", \"mean\"),\n", - " Total_Prevalence=(\"PrevalenceRate\", \"sum\")\n", - " )\n", - " .sort_values(by=\"Avg_Prevalence\", ascending=False)\n", - ")\n", - "\n", - "# Analyze the change in prevalence rates over the last 5 years\n", - "recent_years = df[df['Year'] >= df['Year'].max() - 5]\n", - "\n", - "prevalence_change = (\n", - " recent_years.groupby(\"DiseaseName\")\n", - " .agg(\n", - " Initial_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[0]),\n", - " Latest_Prevalence=(\"PrevalenceRate\", lambda x: x.iloc[-1])\n", - " )\n", - " .assign(Change_in_Prevalence=lambda x: x[\"Latest_Prevalence\"] - x[\"Initial_Prevalence\"])\n", - " .sort_values(by=\"Change_in_Prevalence\", ascending=False)\n", - ")\n", - "\n", - "# Merge both results\n", - "result = highest_prevalence.merge(prevalence_change, on=\"DiseaseName\", how=\"inner\")\n", - "\n", - "# Display results\n", - "print(\"\\nTop Infectious Diseases by Prevalence:\")\n", - "print(highest_prevalence.head(10))\n", - "\n", - "print(\"\\nChange in Prevalence Rates Over the Last 5 Years:\")\n", - "print(prevalence_change.head(10))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Top Infectious Diseases by Prevalence:\n", - " Avg_Prevalence Total_Prevalence\n", - "DiseaseName \n", - "Polio 10.353267 9887.37\n", - "Cholera 10.181133 9163.02\n", - "Malaria 10.179411 8988.42\n", - "Influenza 10.162589 9735.76\n", - "Diabetes 10.104290 9679.91\n", - "Dengue 10.081632 9325.51\n", - "Zika 10.076147 9048.38\n", - "Measles 10.069806 9334.71\n", - "COVID-19 10.032143 9410.15\n", - "Leprosy 9.997762 8888.01\n", - "\n", - "Change in Prevalence Rates Over the Last 5 Years:\n", - " Initial_Prevalence Latest_Prevalence Change_in_Prevalence\n", - "DiseaseName \n", - "Leprosy 0.48 11.63 11.15\n", - "Measles 11.20 19.72 8.52\n", - "Ebola 7.06 15.11 8.05\n", - "Diabetes 10.25 15.46 5.21\n", - "Dengue 3.66 8.84 5.18\n", - "Cancer 0.37 3.83 3.46\n", - "Asthma 15.85 18.81 2.96\n", - "Malaria 5.13 6.27 1.14\n", - "Tuberculosis 17.66 18.58 0.92\n", - "Rabies 19.50 17.98 -1.52\n" - ] - }, - { - "data": { - "image/png": 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