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A map-first single-page webapp for visualizing COVID-19 pandemic indicators.
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### [Crowdcast](/crowdcast)
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Delphi’s "Wisdom of crowds" forecasting system: Used for Chikungunya, flu and most recently Covid. In it's archived configuration, this system is set up to forecast ILI during the COVID-19 pandemic
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Delphi’s "Wisdom of crowds" forecasting system: Used for Chikungunya, flu and most recently Covid. In it's archived configuration, this system was set up to forecast ILI during the COVID-19 pandemic
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### [ILI Nearby](/nowcast)
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Flu nowcasting system.
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**Note:** This system is designed to nowcast ILI driven by seasonal
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influenza and is NOT designed to nowcast ILI during the COVID-19 pandemic.
R package that implements several methods for epidemiological forecasting empirical bayes (EB), basis regression (BR), and time-weighted kernel density estimation (twkde).
We participate in weekly COVID hospital admissions forecasting at the state and national level.
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Our current system for generating forecasts can be found [here](https://github.com/cmu-delphi/covid-hosp-forecast).
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In addition to publishing the individual forecasts from the participating groups, the Reich lab makes an ensemble prediction, and hosts a [visualization of both](https://viz.covid19forecasthub.org).
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We host a comparison tool for [retrospective analysis of the forecasters](https://delphi.cmu.edu/forecast-eval/).
We participate in the weekly Flu forecasting hub run by the CDC during the flu season. Our current system for generating forecasts can be found [here](https://github.com/cmu-delphi/flu-hosp-forecast/).
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From these dozens of individual forecasts by various groups, the CDC publishes a weekly [ensemble prediction](https://www.cdc.gov/flu/weekly/flusight/flu-forecasts.htm).
A forecast evaluation dashboard to compare the historical performance of the forecasts submitted to the [COVID-19 Forecast Hub](https://covid19forecasthub.org/), a collaboration between various modeling teams to produce forecasts of daily hospital admissions.
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