MIDAS Catalog
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JSON-LD Documentation
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. (2026/09/20)

image
JSON-LD
IdentifierURL: https://github.com/computationalUncertaintyLab/aggStatModelsAndHumanJudgment_PUBL
Type

Repository

Topics/About
  • Disease
    • Infectious Disease
      • Vaccine-Preventable Disease
        • COVID-19
      • Viruses Infection
        • Viral Respiratory Tract Infection
          • COVID-19
  • Host
    • Homo sapiens
  • Modeling
    • Modeling Method
      • Compartmental Models
      • Expert Assessment / Opinion
    • Modeling Purpose
      • Forecasting
  • Pathogen
    • Viruses
      • SARS-CoV2
  • Population Count
LanguageEnglish
LicenseCC BY 4.0
Rightshttps://github.com/computationalUncertaintyLab/aggStatModelsAndHumanJudgment_PUBL/blob/main/LICENSE
Accessible For FreeTRUE
Biological Scalepopulation
Geographical ScopeUnited States
Software LanguagePython
File FormatCSV, PDF, PNG, DOCX
Versionunspecified
HTTP Status Code200
HTTP Checked On2026/09/20