MIDAS Catalog
Created by Thomas Mcandrew
Description:

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.

Preview:
https://github.com/computationalUncertaintyLab/aggStatModelsAndHumanJudgment_PUBL

This site was available on the date of the last automated link check. (2025/04/14)

image
IdentifierURL:https://github.com/computationalUncertaintyLab/aggStatModelsAndHumanJudgment_PUBL
Typerepository
Biological Scalepopulation
Collection End Date
LanguageEnglish
Topics
  • case counts
  • disease
    • infectious disease
      • COVID-19
  • host organism
    • Homo sapiens
  • modeling
    • modeling method
      • compartmental models
      • expert assessment / opinion
    • modeling purpose
      • forecasting
  • pathogen
    • Severe acute respiratory syndrome coronavirus 2
Geographical ScopeUnited States
Geographical Resolution
Start Date
End Date
Versionunspecified
Accessible For FreeTRUE
LicenseCC BY 4.0
Rightshttps://github.com/computationalUncertaintyLab/aggStatModelsAndHumanJudgment_PUBL/blob/main/LICENSE
HTTP Status Code200
HTTP Checked On2025/04/14