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Regional excess mortality during the 2020 COVID-19 pandemic in five European countries.
Konstantinoudis, Garyfallos; Cameletti, Michela; Gómez-Rubio, Virgilio; Gómez, Inmaculada León; Pirani, Monica; Baio, Gianluca; Larrauri, Amparo; Riou, Julien; Egger, Matthias; Vineis, Paolo; Blangiardo, Marta.
Afiliação
  • Konstantinoudis G; MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. g.konstantinoudis@imperial.ac.uk.
  • Cameletti M; Department of Economics, University of Bergamo, Bergamo, Italy.
  • Gómez-Rubio V; Departamento de Matemáticas, Escuela Técnica Superior de Ingenieros Industriales, Universidad de Castilla-La Mancha, Albacete, Spain.
  • Gómez IL; National Centre of Epidemiology (CNE), Institute of Health Carlos III, Madrid, Spain.
  • Pirani M; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain.
  • Baio G; MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
  • Larrauri A; Department of Statistical Sciences, University College London, London, UK.
  • Riou J; National Centre of Epidemiology (CNE), Institute of Health Carlos III, Madrid, Spain.
  • Egger M; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain.
  • Vineis P; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
  • Blangiardo M; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Nat Commun ; 13(1): 482, 2022 01 25.
Article em En | MEDLINE | ID: mdl-35079022
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Teorema de Bayes / Pandemias / SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Teorema de Bayes / Pandemias / SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido