MIDAS Catalog

MIDAS

Created by Centers for Disease Control and Prevention (CDC)
Description:

The dataset contains observed and 4 weeks forecast of new COVID-19 hospitalizations at national and state level. Forecasting teams predict numbers of hospitalizations using different types of data (e.g., COVID-19 data, demographic data, mobility data), methods, and estimates of the impacts of interventions (e.g., social distancing, use of face coverings).

Preview:
https://archive.cdc.gov/#/details?url=https://www.cdc.gov/coronavirus/2019-ncov/science/forecasting/hospitalizations-forecasts.html

This site was available on the date of the last automated link check. (2025/06/16)

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IdentifierURL:https://archive.cdc.gov/#/details?url=https://www.cdc.gov/coronavirus/2019-ncov/science/forecasting/hospitalizations-forecasts.html
Typedata set
Biological Scalepopulation
Collection End Date2024/05/02
LanguageEnglish
Topics
  • case counts
    • hospital stay dataset
      • incident hospitalization count
  • disease
    • infectious disease
      • COVID-19
  • host organism
    • Homo sapiens
  • modeling
    • modeling purpose
      • forecasting
  • pathogen
    • Severe acute respiratory syndrome coronavirus 2
Geographical ScopeUnited States
Geographical ResolutionState, Country
Start Date
End Date
Versionunspecified
Accessible For FreeTRUE
Licenseunspecified
Rightsunspecified
HTTP Status Code200
HTTP Checked On2025/06/16