This project aims to provide public health officials metaforecasts - a combination of probabilistic predictions from computational models, subject matter experts, and trained forecasters - of the COVID-19 outbreak, and an expert consensus of the most effective interventions to prevent the spread of SARS-CoV-2 and impact of COVID-19. It also contains software used to aggregate predictions.
This site was available on the date of the last automated link check. (2025/04/14)
Identifier | URL:https://github.com/computationalUncertaintyLab/aggStatModelsAndHumanJudgment_PUBL |
Type | repository |
Biological Scale | population |
Collection End Date | |
Language | English |
Topics | |
Geographical Scope | United States |
Geographical Resolution | |
Start Date | |
End Date | |
Version | unspecified |
Accessible For Free | TRUE |
License | CC BY 4.0 |
Rights | https://github.com/computationalUncertaintyLab/aggStatModelsAndHumanJudgment_PUBL/blob/main/LICENSE |
HTTP Status Code | 200 |
HTTP Checked On | 2025/04/14 |