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Capturing the COVID-19 Crisis through Public Health and Social Measures Data Science.
Cheng, Cindy; Desvars-Larrive, Amélie; Ebbinghaus, Bernhard; Hale, Thomas; Howes, Alexandra; Lehner, Lukas; Messerschmidt, Luca; Nika, Angeliki; Penson, Steve; Petherick, Anna; Xu, Hanmeng; Zapf, Alexander John; Zhang, Yuxi; Zweig, Sophia Alison.
Afiliação
  • Cheng C; Hochschule für Politik and the TUM School of Social Sciences and Technology at the Technical University of Munich (TUM), Munich, Germany.
  • Desvars-Larrive A; Unit of Veterinary Public Health and Epidemiology, University of Veterinary Medicine Vienna, Vienna, Austria.
  • Ebbinghaus B; Complexity Science Hub Vienna, Vienna, Austria.
  • Hale T; Department of Social Policy & Intervention, University of Oxford, Oxford, UK.
  • Howes A; Blavatnik School of Government, University of Oxford, Oxford, United Kingdom.
  • Lehner L; ACAPS, Geneva, Switzerland.
  • Messerschmidt L; Department of Social Policy & Intervention, University of Oxford, Oxford, UK.
  • Nika A; Hochschule für Politik and the TUM School of Social Sciences and Technology at the Technical University of Munich (TUM), Munich, Germany. luca.messerschmidt@hfp.tum.de.
  • Penson S; Blavatnik School of Government, University of Oxford, Oxford, United Kingdom. luca.messerschmidt@hfp.tum.de.
  • Petherick A; ACAPS, Geneva, Switzerland.
  • Xu H; ACAPS, Geneva, Switzerland.
  • Zapf AJ; Blavatnik School of Government, University of Oxford, Oxford, United Kingdom.
  • Zhang Y; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Zweig SA; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Sci Data ; 9(1): 520, 2022 08 26.
Article em En | MEDLINE | ID: mdl-36028605
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Aspecto: Patient_preference Limite: Humans Idioma: En Revista: Sci Data Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Aspecto: Patient_preference Limite: Humans Idioma: En Revista: Sci Data Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Reino Unido