Created by Michael Gruber, David Garcia, Amélie Desvars-Larrive, Nils Haug and Elma Dervic
Description:
The COVID-19 Intervention Measures dataset is a global, structured collection of non-pharmaceutical interventions (NPIs) implemented by governments in response to the COVID-19 pandemic. Developed by the Complexity Science Hub, the dataset includes over 50 categories of interventions, grouped into seven categories: case identification, contact tracing and related measures, environmental measures, healthcare and public health capacity, resource allocation, risk communication, social distancing, travel restrictions, and returning to normal life. It spans countries and territories at different level, covering the early and evolving phases of the pandemic.
Preview:
https://github.com/amel-github/covid19-interventionmeasuresThis site was available on the date of the last automated link check. (2026/09/27)
| Identifier | URL: https://github.com/amel-github/covid19-interventionmeasures |
| Type | Data Set |
| Topics/About | |
| Language | English |
| License | CC BY-SA 4.0 |
| Accessible For Free | TRUE |
| Biological Scale | population |
| Geographical Scope | Earth |
| Geographical Resolution | Special Region, Region, Country, Territory, First-order administrative division |
| Start Date | 2019/12/31 |
| End Date | 2021/01/25 |
| Collection End Date | 2021/03/02 |
| File Format | CSV |
| Version | v2.1 |
| HTTP Status Code | 200 |
| HTTP Checked On | 2026/09/27 |