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Oxford COVID-19 Government Response Tracker
Patient Health Records & Digital Health
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About
A structured assessment of governmental actions taken to mitigate the effects of the pandemic. It tracks detailed policy responses, ranging from public health measures like mask mandates and testing protocols to economic stimuli. It combines these policy inputs into a composite index designed to measure the severity or strictness of government interventions. This resource allows researchers and analysts to correlate specific policy choices with public health or economic outcomes.
Columns
The primary file, typically a CSV, includes key identifiers and numerous indicators related to policy actions. Columns include:
- CountryName: The name of the country.
- CountryCode: The WDI Country Code, providing 190 unique values for identification.
- Date: The date the measure was recorded.
- S1_School closing: Records whether schools and universities were closed, using an ordinal scale (0=No measures, 1=Recommend closing, 2=Require closing).
- S2_Workplace closing: Records mandatory or recommended workplace closures, using an ordinal scale (0=No measures, 1=Recommend closing, 2=Require closing).
- S3_Cancel public events: Measures the cancellation of public gatherings on an ordinal scale (0=No measures, 1=Recommend cancelling, 2=Require cancelling).
- S1_IsGeneral, S2_IsGeneral, etc.: Tracks the geographic scope of the measure (0=Targeted, 1=General).
- Additional indicators tracked include restrictions on public transport, internal movement, international travel controls, fiscal stimuli (value in USD), monetary measures (interest rate percentage), emergency investment in healthcare, and investment in vaccines.
Distribution
The data is typically provided in a tabular format, usually CSV (e.g.,
oxford_cgrt.csv). Key variables show records exceeding 10,000 observations. The file size is relatively small (e.g., 2.3 MB). This data resource is expected to be updated on a quarterly basis.Usage
This resource is essential for academics and analysts attempting to model the progression of infectious diseases, particularly in relation to policy interventions. It has been used for global forecasting challenges, allowing modellers to integrate government stringency into predictive models. It is also valuable for macro-economic studies examining the correlation between health policy, fiscal stimuli, and economic performance. It can be merged effectively with related public health datasets, such as the Assessment Capacities Project (ACAPS) measures.
Coverage
The dataset is cross-national, covering 190 unique countries and their respective policy timelines. The temporal scope spans the full period of the disease's spread, providing a longitudinal view of policy implementation. The indicators cover a wide range of intervention types, from non-pharmaceutical interventions (like school and workplace closings) to large-scale economic and health system investments.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Researchers and Epidemiologists: To study the effectiveness of specific policy mixes in controlling disease transmission.
- Economists and Financial Analysts: To track governmental fiscal and monetary policy responses to the crisis.
- Data Journalists and Public Policy Think Tanks: To visualise and compare policy stringency across different countries and regions.
Dataset Name Suggestions
- Oxford COVID-19 Government Response Tracker
- Global Policy Stringency Index
- Cross-National Pandemic Intervention Data
- OxCGRT Policy Measure Dataset
Attributes
Original Data Source: Oxford COVID-19 Government Response Tracker
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