There are 10 public projects and 3 projects with access limited to collaborators only.
|CDC FluSight Forecast Hub||lshandross||Forecasts of confirmed influenza hospitalization admissions during the 2023–2024 influenza season, created as part of the US CDC’s collaborative influenza forecasting exercise||
37 models, 219 forecasts, 76,131 predictions
|COVID-19 Forecasts||covid19hub||The goal of this repository is to create a standardized set of data on forecasts from experienced teams making projections of cumulative and incident deaths due to COVID-19 in the United States.||
127 models, 8963 forecasts, 113.0 million predictions
|CDC Influenza Hospitalization Forecasts||lshandross||Forecasts of confirmed influenza hospitalization admissions during the 2021-2022 and 2022–2023 influenza seasons, created as part of the CDC’s influenza forecasting exercise "FluSight".||
44 models, 1405 forecasts, 454,334 predictions
|COVID-19 Forecasts Viz Test||cornell||The goal of this repository is to create a standardized set of data on forecasts from experienced teams making projections of cumulative and incident deaths due to COVID-19 in the United States.||
Two models, 10 forecasts, 80 predictions
|ECDC European COVID-19 Forecast Hub||(No logo)||epiforecasts||The goal of this repository is to create a standardized set of data on forecasts from experienced teams making projections of incident case and death numbers due to COVID-19 in the EU and the United Kingdom.||
66 models, 2514 forecasts, 496,059 predictions
|Aggregating Statistical Models and Human Judgment||allicodi||
This project aims to provide public health officials forecasts of the COVID-19 outbreak using human judgment.
A consensus forecast is an equally weighted combination of probabilistic predictions made by individuals. We included consensus forecasts from individual forecasters on Metaculus (https://www.metaculus.com/questions/) and from Good Judgment Open (https://www.gjopen.com/). A chimeric forecast is also included: an equally weighted combination of human judgment consensus forecasts and of computational models from the COVID-19 Forecasthub ensemble.
Each month, individuals contribute forecasts for incident cases, deaths, hospitalizations, cumulative number of vaccines, and variant prevalence at the US national level. Individuals can produce forecasts at the beginning of each month until the middle of the month. All forecasting ends at 2PM EST.
Four models, 12 forecasts, 45 predictions
|Docs Example Project||cornell||A template project for learning how to interact with Zoltar. Typically, a full description of the project would go here. You could include narrative details about what seasons are included, what group has provided data, whether the project focuses on real-time or retrospective forecasts.||
One model, one forecast, 29 predictions
|Election Forecasts||nick||This project stores forecasts from multiple election forecast sites, including FiveThirtyEight and the Economist, for ease of access and comparison.||
Seven models, 945 forecasts, 76,224 predictions
|CDC Real-time Forecasts||nick||Guidelines and forecasts for a collaborative U.S. influenza forecasting project.||
44 models, 2167 forecasts, 333,713 predictions
|CDC Retrospective Forecasts||nick||Guidelines and forecasts for a collaborative U.S. influenza forecasting project.||
27 models, 5647 forecasts, 869,638 predictions