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Protective Policy Index (PPI) global dataset of origins and stringency of COVID 19 mitigation policies
We have developed and made accessible for multidisciplinary audience a unique global dataset of the behavior of political actors during the COVID-19 pandemic as measured by their policy-making efforts to protect their publics. The dataset presents consistently coded cross-national data at subnationa...
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Published in: | Scientific data 2022-06, Vol.9 (1), p.319-319, Article 319 |
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Main Authors: | , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | We have developed and made accessible for multidisciplinary audience a unique global dataset of the behavior of political actors during the COVID-19 pandemic as measured by their policy-making efforts to protect their publics. The dataset presents consistently coded cross-national data at subnational and national levels on the daily level of stringency of public health policies by level of government overall and within specific policy categories, and reports branches of government that adopted these policies. The data on these public mandates of protective behaviors is collected from media announcements and government publications. The dataset allows comparisons of governments’ policy efforts and timing across the world and can serve as a source of information on policy determinants of pandemic outcomes–both societal and possibly medical.
Measurement(s)
institutions, levels of government, dates and stringency of COVID-19 public health policy announcements
Technology Type(s)
content search of media and governement sources, expert coding and classification
Factor Type(s)
government office • government level • time in the pandemic • country • region
Sample Characteristic - Organism
government-announced COVID-19 public health policies
Sample Characteristic - Environment
regions, also aggregated to countries
Sample Characteristic - Location
global |
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ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/s41597-022-01437-9 |