MIDAS Catalog
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JSON-LD Documentation
Created by Ezgi Muftuoglu, Didem Seyis, Tianyi Zhao, Abdul Basit Adeel, Frank Giannelli, Mert Can Bayar, Hyoungrohk Chu, Bradley Skopyk, Onsel Gurel Bayrali, Andrei Zhirnov, Michael Catalano, Olivia Catalano, Julie VanDusky-Allen, Dina Rosenberg and Olga Shvetsova
Description:

The dataset contains information about protective policy response (PPI) measures public health government responses to COVID-19 at all levels of government throughout the world. The PPI measure considers the extent of COVID-19 policy responses in the following categories: state of emergencies, border closures, school closures, social gathering and social distancing limitations, home-bound policies, medical isolation policies, closure/restriction of businesses and services, and mandatory personal protection equipment. The coding for public health policies is based on government websites and reputable news sources reporting adoption of these policies. Total, National, and Subnational Indices are calculated based on the standing public health policies adopted at various levels of government for each unit (state, province, etc.) for each day, by adding together the highest values across levels of government in each category on that day. Data is accessible to people who have an OPEN ICPSR account.

Preview:
https://www.openicpsr.org/openicpsr/project/123401

This site was available on the date of the last automated link check. (2026/09/13)

image
JSON-LD
IdentifierURL: https://www.openicpsr.org/openicpsr/project/123401
Type

Data Set

Topics/About
  • Control Strategy
    • Event Cancellations
    • School Closure
  • Disease
    • Infectious Disease
      • Vaccine-Preventable Disease
        • COVID-19
      • Viruses Infection
        • Viral Respiratory Tract Infection
          • COVID-19
  • Host
    • Homo sapiens
  • Pathogen
    • Viruses
      • SARS-CoV2
LanguageEnglish
LicenseCC BY 4.0
Accessible For FreeTRUE
Biological Scalepopulation
Geographical ScopeEarth
Geographical ResolutionCountry, First-order administrative division
File FormatCSV, PDF, TXT, DTA
Versionongoing
HTTP Status Code200
HTTP Checked On2026/09/13