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Project Citation: 

Shvetsova, Olga, Zhirnov, Andrei, Adeel, Abdul Basit, Bayar, Mert Can, Bayrali, Onsel Gurel, Catalano, Michael, … Zhao, Tianyi. Institutional Origins of COVID-19 Public Health Protective Policy Response (PPI). Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-04-03. https://doi.org/10.3886/E123401V4

Project Description

Summary:  View help for Summary The 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 the mandates to wear face masks. 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 and normalizing to range between 0 and 1.

National and subnational PPIs were constructed with the values in each category from just national- or just subnational-level policies. The current version of the data set contains public health protective policies on the national and sub-national levels, while we plan to expand to the municipal level in the future. The unit of analysis is unit-day.

Regular updates of this dataset are posted in the dedicated GitHub repository (https://github.com/COVID-policy-response-lab/PPI-data).

An ArcGIS dashboard with the project data can be found here: https://elcamaleon.binghamton.edu/portal/apps/opsdashboard/index.html#/cc61a3652eb74b8ea8864928e8026...




Scope of Project

Geographic Coverage:  View help for Geographic Coverage Global
Time Period(s):  View help for Time Period(s) 1/2020 – 12/2020
Universe:  View help for Universe Public Health Policies/Non-Medical Interventions in Response to COVID-19
Data Type(s):  View help for Data Type(s) observational data


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