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A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker).
Hale, Thomas; Angrist, Noam; Goldszmidt, Rafael; Kira, Beatriz; Petherick, Anna; Phillips, Toby; Webster, Samuel; Cameron-Blake, Emily; Hallas, Laura; Majumdar, Saptarshi; Tatlow, Helen.
  • Hale T; Blavatnik School of Government, University of Oxford, Oxford, UK. Thomas.Hale@bsg.ox.ac.uk.
  • Angrist N; Blavatnik School of Government, University of Oxford, Oxford, UK.
  • Goldszmidt R; Brazilian School of Public and Business Administration, Getulio Vargas Foundation, Rio de Janeiro, Brazil.
  • Kira B; Blavatnik School of Government, University of Oxford, Oxford, UK.
  • Petherick A; Blavatnik School of Government, University of Oxford, Oxford, UK.
  • Phillips T; Blavatnik School of Government, University of Oxford, Oxford, UK.
  • Webster S; , London, UK.
  • Cameron-Blake E; Blavatnik School of Government, University of Oxford, Oxford, UK.
  • Hallas L; Blavatnik School of Government, University of Oxford, Oxford, UK.
  • Majumdar S; Blavatnik School of Government, University of Oxford, Oxford, UK.
  • Tatlow H; Blavatnik School of Government, University of Oxford, Oxford, UK.
Nat Hum Behav ; 5(4): 529-538, 2021 04.
Article in English | MEDLINE | ID: covidwho-1123133
ABSTRACT
COVID-19 has prompted unprecedented government action around the world. We introduce the Oxford COVID-19 Government Response Tracker (OxCGRT), a dataset that addresses the need for continuously updated, readily usable and comparable information on policy measures. From 1 January 2020, the data capture government policies related to closure and containment, health and economic policy for more than 180 countries, plus several countries' subnational jurisdictions. Policy responses are recorded on ordinal or continuous scales for 19 policy areas, capturing variation in degree of response. We present two motivating applications of the data, highlighting patterns in the timing of policy adoption and subsequent policy easing and reimposition, and illustrating how the data can be combined with behavioural and epidemiological indicators. This database enables researchers and policymakers to explore the empirical effects of policy responses on the spread of COVID-19 cases and deaths, as well as on economic and social welfare.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Public Policy / Social Welfare / Communicable Disease Control / COVID-19 / Government Type of study: Observational study Topics: Vaccines Limits: Humans Language: English Journal: Nat Hum Behav Year: 2021 Document Type: Article Affiliation country: S41562-021-01079-8

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Public Policy / Social Welfare / Communicable Disease Control / COVID-19 / Government Type of study: Observational study Topics: Vaccines Limits: Humans Language: English Journal: Nat Hum Behav Year: 2021 Document Type: Article Affiliation country: S41562-021-01079-8