Protective Policy Index (PPI) global dataset of origins and stringency of COVID 19 mitigation policies

Olga Shvetsova; Andrei Zhirnov; Abdul Basit Adeel; Mert Can Bayar; Onsel Gurel Bayrali; Michael Catalano; Olivia Catalano; Hyoungrohk Chu; Frank Giannelli; Ezgi Muftuoglu; Dina Rosenberg; Didem Seyis; Bradley Skopyk; Julie VanDusky-Allen; Tianyi Zhao

doi:10.1038/s41597-022-01437-9

Protective Policy Index (PPI) global dataset of origins and stringency of COVID 19 mitigation policies

Olga Shvetsova, Andrei Zhirnov, Abdul Basit Adeel, Mert Can Bayar, Onsel Gurel Bayrali, Michael Catalano, Olivia Catalano, Hyoungrohk Chu, Frank Giannelli, Ezgi Muftuoglu, Dina Rosenberg, Didem Seyis, Bradley Skopyk, Julie VanDusky-Allen, Tianyi Zhao

Political Science Department

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

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.

Original language	English
Article number	319
Journal	Scientific Data
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41597-022-01437-9
State	Published - Dec 2022

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Shvetsova, O., Zhirnov, A., Adeel, A. B., Bayar, M. C., Bayrali, O. G., Catalano, M., Catalano, O., Chu, H., Giannelli, F., Muftuoglu, E., Rosenberg, D., Seyis, D., Skopyk, B., VanDusky-Allen, J., & Zhao, T. (2022). Protective Policy Index (PPI) global dataset of origins and stringency of COVID 19 mitigation policies. Scientific Data, 9(1), Article 319. https://doi.org/10.1038/s41597-022-01437-9

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abstract = "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{\textquoteright} 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.",

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doi = "10.1038/s41597-022-01437-9",

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Shvetsova, O, Zhirnov, A, Adeel, AB, Bayar, MC, Bayrali, OG, Catalano, M, Catalano, O, Chu, H, Giannelli, F, Muftuoglu, E, Rosenberg, D, Seyis, D, Skopyk, B, VanDusky-Allen, J & Zhao, T 2022, 'Protective Policy Index (PPI) global dataset of origins and stringency of COVID 19 mitigation policies', Scientific Data, vol. 9, no. 1, 319. https://doi.org/10.1038/s41597-022-01437-9

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AU - Shvetsova, Olga

AU - Zhirnov, Andrei

AU - Adeel, Abdul Basit

AU - Bayar, Mert Can

AU - Bayrali, Onsel Gurel

AU - Catalano, Michael

AU - Catalano, Olivia

AU - Chu, Hyoungrohk

AU - Giannelli, Frank

AU - Muftuoglu, Ezgi

AU - Rosenberg, Dina

AU - Seyis, Didem

AU - Skopyk, Bradley

AU - VanDusky-Allen, Julie

AU - Zhao, Tianyi

PY - 2022/12

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Protective Policy Index (PPI) global dataset of origins and stringency of COVID 19 mitigation policies

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