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Protective Policy Index (PPI) global dataset of origins and stringency of COVID 19 mitigation policies.
Shvetsova, Olga; Zhirnov, Andrei; Adeel, Abdul Basit; Bayar, Mert Can; Bayrali, Onsel Gurel; Catalano, Michael; Catalano, Olivia; Chu, Hyoungrohk; Giannelli, Frank; Muftuoglu, Ezgi; Rosenberg, Dina; Seyis, Didem; Skopyk, Bradley; VanDusky-Allen, Julie; Zhao, Tianyi.
  • Shvetsova O; Binghamton University, Binghamton, New York, USA. shvetso@binghamton.edu.
  • Zhirnov A; University of Exeter, Exeter, Devon, UK.
  • Adeel AB; Penn State University, State College, Pennsylvania, USA.
  • Bayar MC; Binghamton University, Binghamton, New York, USA.
  • Bayrali OG; Binghamton University, Binghamton, New York, USA.
  • Catalano M; Binghamton University, Binghamton, New York, USA.
  • Catalano O; MS-MPH, unaffiliated researcher, Binghamton, New York, USA.
  • Chu H; Binghamton University, Binghamton, New York, USA.
  • Giannelli F; Rutgers, the State University of New Jersey, Piscataway, New Jersey, USA.
  • Muftuoglu E; Binghamton University, Binghamton, New York, USA.
  • Rosenberg D; National Research University-Higher School of Economics, Moscow, Russia.
  • Seyis D; Binghamton University, Binghamton, New York, USA.
  • Skopyk B; Binghamton University, Binghamton, New York, USA.
  • VanDusky-Allen J; Boise State University, Boise, Idaho, USA.
  • Zhao T; Binghamton University, Binghamton, New York, USA.
Sci Data ; 9(1): 319, 2022 06 16.
Article in English | MEDLINE | ID: covidwho-1960417
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Health Policy Type of study: Randomized controlled trials Limits: Humans Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01437-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Health Policy Type of study: Randomized controlled trials Limits: Humans Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01437-9