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. (2025/10/20)
| 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 | 2025/10/20 |