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A structured open dataset of government interventions in response to COVID-19.
Desvars-Larrive, Amélie; Dervic, Elma; Haug, Nina; Niederkrotenthaler, Thomas; Chen, Jiaying; Di Natale, Anna; Lasser, Jana; Gliga, Diana S; Roux, Alexandra; Sorger, Johannes; Chakraborty, Abhijit; Ten, Alexandr; Dervic, Alija; Pacheco, Andrea; Jurczak, Ania; Cserjan, David; Lederhilger, Diana; Bulska, Dominika; Berishaj, Dorontinë; Tames, Erwin Flores; Álvarez, Francisco S; Takriti, Huda; Korbel, Jan; Reddish, Jenny; Grzymala-Moszczynska, Joanna; Stangl, Johannes; Hadziavdic, Lamija; Stoeger, Laura; Gooriah, Leana; Geyrhofer, Lukas; Ferreira, Marcia R; Bartoszek, Marta; Vierlinger, Rainer; Holder, Samantha; Haberfellner, Simon; Ahne, Verena; Reisch, Viktoria; Servedio, Vito D P; Chen, Xiao; Pocasangre-Orellana, Xochilt María; Garncarek, Zuzanna; Garcia, David; Thurner, Stefan.
  • Desvars-Larrive A; Unit of Veterinary Public Health and Epidemiology, University of Veterinary Medicine Vienna, Veterinaerplatz 1, 1210, Vienna, Austria. amelie.desvars@vetmeduni.ac.at.
  • Dervic E; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria. amelie.desvars@vetmeduni.ac.at.
  • Haug N; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Niederkrotenthaler T; Section for Science of Complex Systems, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
  • Chen J; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Di Natale A; Section for Science of Complex Systems, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
  • Lasser J; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Gliga DS; Unit Suicide Research & Mental Health Promotion, Center for Public Health, Department of Social and Preventive Medicine, Medical University of Vienna, Kinderspitalgasse 15, 1090, Vienna, Austria.
  • Roux A; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Sorger J; Section for Science of Complex Systems, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
  • Chakraborty A; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Ten A; Section for Science of Complex Systems, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
  • Dervic A; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Pacheco A; Section for Science of Complex Systems, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
  • Cserjan D; CERMES3, Ecole des Hautes Etudes en Sciences Sociales, 7 rue Guy Moquet, 94801, Villejuif, France.
  • Lederhilger D; Gender, Sexuality, Health, CESP, INSERM, Paris-Saclay University, Paris-Sud University, UVSQ, Hôpital Paul Brousse, 16 avenue Paul Vaillant Couturier, 94807, Villejuif, France.
  • Bulska D; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Berishaj D; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Tames EF; Advanced Systems Analysis, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria.
  • Álvarez FS; Flowers project-team, National Research Institute for Digital Sciences (INRIA), 200 avenue de la Vieille Tour, 33405, Talence, France.
  • Takriti H; Institute of Electrodynamics, Microwave and Circuit Engineering, Vienna University of Technology, Gusshausstrasse 25, 1040, Vienna, Austria.
  • Korbel J; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5E, 04103, Leipzig, Germany.
  • Reddish J; Institute of Psychology, Jagiellonian University, ul. Golebia 24, 31-007, Kraków, Poland.
  • Grzymala-Moszczynska J; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Hadziavdic L; Institute for Social Studies, University of Warsaw, ul. Krakowskie Przedmiescie 26/28, 00-924, Warsaw, Poland.
  • Gooriah L; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Geyrhofer L; Fundación Naturaleza El Salvador, Research Department, Colonia Escalón, San Salvador, CP 1101, El Salvador.
  • Ferreira MR; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Bartoszek M; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Vierlinger R; Section for Science of Complex Systems, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
  • Holder S; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Haberfellner S; Seshat: The Global History Databank.
  • Ahne V; Institute of Psychology, Jagiellonian University, ul. Golebia 24, 31-007, Kraków, Poland.
  • Chen X; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Pocasangre-Orellana XM; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5E, 04103, Leipzig, Germany.
  • Garncarek Z; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Garcia D; Complexity Science Hub Vienna, Josefstaedter Strasse 39, 1080, Vienna, Austria.
  • Thurner S; Institute of Psychology, Jagiellonian University, ul. Golebia 24, 31-007, Kraków, Poland.
Sci Data ; 7(1): 285, 2020 08 27.
Article in English | MEDLINE | ID: covidwho-733508
Preprint
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ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Government Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Qualitative research Limits: Humans Language: English Journal: Sci Data Year: 2020 Document Type: Article Affiliation country: S41597-020-00609-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Government Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Qualitative research Limits: Humans Language: English Journal: Sci Data Year: 2020 Document Type: Article Affiliation country: S41597-020-00609-9