Please note that while we make every effort to clean this data, the speed and scale with which it was collected means that we cannot validate all of it. If you find an error in the data, please file an issue on this Github page.
The CoronaNet research project public data dashboard allows users to explore the data collected by our research assistants. The application makes it possible to filter the data by policy categories, policy levels, and initiating countries, cities, or provinces. The resulting selection can be then exported in CSV format.
CoronaNet Database Version 1.0 (Panel Format)
Updated Monthly – Last updated on
Based on the event-dataset with more than 68,000 policies, we created a panel format (country-date-policy). The current version of the dataset covers 189 countries for each day from January 1st, 2020 to January 15th,2021 and contains 76,380 country-day observations. The codebook for the core dataset can be found here.
The CoronaNet Research Project has collaborated with the Oxford COVID-19 Government Response Tracker (OxCGRT) to create six new indices that provide the first comprehensive and statistically-validated summary on policy responses to the COVID-19 pandemic.
CoronaNet Database Version 1.0 (Event Format)
Updated Weekly – Last updated on
This file contains variables from the CoronaNet government response project, representing national and sub-national policy event data from more than 190 countries since January 1st, 2020. The data include source links, descriptions, targets (i.e. other countries), the type and level of enforcement, and a comprehensive set of policy types. For more detail on this data, you can see our codebook here.
CoronaNet Database Version 1.0 (extended)
Updated Weekly – Last updated on
This file contains the government response information from the core data along with the following datasets:
CoronaNet Database Version 1.0 (core by country)
Updated Weekly – Last updated on
This folder contains the data presented in the core dataset split by country.
We are an open data science initiative. This means that we want to invite everyone to work with our data. For people who are not familiar with statistical programs, we have designed a Learning Platform that shows you how to work with our data via RStudio.
Please follow this link to enter the CoronaNet Learning Platform.
Attribution-NonCommercial 2.0 Generic (CC BY-NC 2.0)
Please cite the project and dataset as:
Cheng, Cindy, Joan Barceló, Allison Spencer Hartnett, Robert Kubinec, and Luca Messerschmidt. "COVID-19 Government Response Event Dataset (CoronaNet v. 1.0)." Nature human behaviour 4, no. 7 (2020): 756-768. https://www.coronanet-project.org.
