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COVID-19 Government Response Event Dataset (CoronaNet v.1.0)
Cindy Cheng1, Joan Barceló2, Allison Spencer Hartnett3
1Hochschule für Politik at the Technical University of Munich (TUM) and the TUM School of Governance, Munich, Germany. cindy.cheng@hfp.tum.de.
Nature Human Behaviour
|June 25, 2020
Summary
Governments globally created over 13,000 COVID-19 policies, detailed in a new dataset. This resource aids researchers in evaluating policy effectiveness against the pandemic.
Area of Science:
- Public Health
- Epidemiology
- Health Policy
Background:
- The COVID-19 pandemic necessitated rapid and widespread government policy interventions globally.
- Understanding the scope and characteristics of these policies is crucial for public health response and research.
Purpose of the Study:
- To introduce a comprehensive, hand-coded dataset of over 13,000 COVID-19 policy announcements from more than 195 countries.
- To provide a resource for analyzing policy adoption trends and informing future public health strategies.
Main Methods:
- Data collection involved hand-coding over 13,000 policy announcements across 195+ countries.
- Policies were categorized by type, enforcement level (national/subnational), target group, region, and timeframe.
- A Bayesian measurement model was employed for data analysis.
Main Results:
- The dataset documents a wide array of policy types and targeting strategies.
- Analysis revealed a rapid acceleration in the adoption of costly policies from mid-March to May 2020.
- The data is updated daily with a 5-day lag for validity.
Conclusions:
- The created dataset offers a valuable tool for researchers and policymakers.
- It enables the assessment of the effectiveness of various COVID-19 policies on disease spread and health outcomes.
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