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Jingjing TangJingjing Tang
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updated documentation for HRR/MSA levels
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google_symptoms/DETAILS.md

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We import the normalized symptom search term popularity data from the Google
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Research's Open COVID-19 Data project and export the county-level and state-level
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data as-is.
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data as-is. We also aggregate the data to the MSA and HRR levels.
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## Geographical Levels (`geo`)
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* `county`: reported using zero-padded FIPS codes. The county level data is derived
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from `/subregions/state/2020_US_state_daily_symptoms_dataset.csv`.
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* `msa`: reported using cbsa (consistent with all other COVIDcast sensors). The msa
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level data is derived from county level data using population weighted average.
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* `hrr`: reported using HRR number (consistent with all other COVIDcast sensors). The
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hrr level data is derived from county level data using population weighted average.
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* `state`: reported using two-letter postal code. The state level data is derived from
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`2020_US_daily_symptoms_dataset.csv` which includes data for District of Columbia.
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google_symptoms/README.md

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We import the normalized symptom search term popularity data from the Google
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Research's Open COVID-19 Data project and export the county-level and state-level
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data as-is. For detailed information see the files `DETAILS.md` contained
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in this directory.
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data as-is. We also aggregate the data to the MSA and HRR levels. For detailed
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information see the files `DETAILS.md` contained in this directory.
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## Running the Indicator
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