MIDAS Catalog
MIDAS iconMIDAS
JSON-LD Documentation
Created by Henning Mortveit, Amanda Wilson, Galen Harrison, Stefan Hoops, Dawen Xie, Madhav Marathe, Li Xiong, Parantapa Bhattacharya, Anil Vullikanti, Jiangzhuo Chen and Przemyslaw Porebski
Description:

This dataset is a synthetic datasets (also called virtual population or digital twin) reflecting a realistic disease outbreak. This data was used as a component in the US-UK Prize Challenge on Privacy-Enhancing Technologies. It is a statistically accurate representation of a real population's demographics, activities, and social contacts without individual person’s information. This dataset contains 3 components: a synthetic population (with demographics information, synthetic activities); a contact network derived from these activities; and a set of disease states, the result of simulating the effects of a COVID-like disease within this population. The data are a representation of the state of Virginia (~7.7 million individuals) and of the United Kingdom (~62 million individuals).

Preview:
https://dataverse.lib.virginia.edu/dataset.xhtml?persistentId=doi:10.18130/V3/ZOG1FF

This site was available on the date of the last automated link check. (2026/09/27)

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IdentifierURL: https://dataverse.lib.virginia.edu/dataset.xhtml?persistentId=doi:10.18130/V3/ZOG1FF
Type

Data Set

Topics/About
  • Behavior
    • Contact Rates
  • Disease
    • Infectious Disease
      • Vaccine-Preventable Disease
        • COVID-19
      • Viruses Infection
        • Viral Respiratory Tract Infection
          • COVID-19
  • Host
    • Homo sapiens
  • Pathogen
    • Viruses
      • SARS-CoV2
  • Population Demographic
    • Age-Stratified
    • Sex
  • Synthetic Populations
LanguageEnglish
LicenseCC BY-NC 4.0
Accessible For FreeTRUE
Biological Scalepopulation
Geographical ScopeVirginia, United Kingdom of Great Britain and Northern Ireland
Geographical ResolutionRegion, County, State
File FormatZIP
Version1.1
HTTP Status Code200
HTTP Checked On2026/09/27