MIDAS Catalog

MIDAS

Created by David C. Farrow, Logan C. Brooks, Aaron Rumack, Ryan J. Tibshirani and Roni Rosenfeld
Description:

An open API for real-time access to epidemiological surveillance data maintained by the Carnegie Mellon University Delphi research group. The Epidata API contains: COVIDcast API that provides daily updates about COVID-19 activity across the United States, and data about other epidemics including influenza, dengue, norovirus. The COVIDcastAPI includes data about testing, cases, and death, healthcare, and survey data from multiple sources at counties, states, metropolitan statistical areas, and other geographical divisions. Several API clients are available for common programming language like R and Python. Source code available on GitHub: https://github.com/cmu-delphi/delphi-epidata

Preview:
https://cmu-delphi.github.io/delphi-epidata/

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

image
IdentifierURL:https://cmu-delphi.github.io/delphi-epidata/
Typesoftware, data service
Biological Scalepopulation
Collection End Date
LanguageEnglish
Topics
  • behavior
    • human daily movement data set
    • policy adherence
    • vaccine hesitancy
  • case counts
    • diagnostic tests
    • hospital stay dataset
    • mortality data
  • data service
  • host organism
    • Homo sapiens
Geographical ScopeUnited States
Geographical ResolutionCounty, State, Country, Health region
Start Date
End Date
Versionongoing
Accessible For FreeTRUE
LicenseCC BY 4.0
Rightshttps://cmu-delphi.github.io/delphi-epidata/api/README.html#data-licensing
HTTP Status Code200
HTTP Checked On2025/06/16