In response to the COVID-19 pandemic, governments have implemented a wide range of non-pharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a specific hierarchical coding scheme for NPIs. We generated a comprehensive structured dataset of government interventions and their respective timelines of implementation. To improve transparency and motivate collaborative validation process, information sources are shared via an open library. We also provide codes that enable users to visualise the dataset. Standardization and structure of the dataset facilitate inter-country comparison and the assessment of the impacts of different NPI categories on the epidemic parameters, population health indicators, the economy, and human rights, among others. This dataset provides an in-depth insight of the government strategies and can be a valuable tool for developing relevant preparedness plans for pandemic. We intend to further develop and update this dataset until the end of December 2020.
Measurement(s)
time at medical intervention • medical intervention
Technology Type(s)
digital curation • content analysis strategy of existing information sources
Factor Type(s)
non-pharmaceutical intervention • date
Sample Characteristic - Location
global
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.12668792...

A structured open dataset of government interventions in response to COVID-19

10.1038/s41597-020-00609-9