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COVID-19 and the difficulty of inferring epidemiological parameters from clinical data - Authors' reply.
Verity, Robert; Okell, Lucy; Dorigatti, Ilaria; Winskill, Peter; Whittaker, Charlie; Walker, Patrick; Donnelly, Christl; Ferguson, Neil; Ghani, Azra.
Afiliación
  • Verity R; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Okell L; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Dorigatti I; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Winskill P; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Whittaker C; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Walker P; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Donnelly C; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Ferguson N; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
  • Ghani A; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK. Electronic address: a.ghani@imperial.ac.uk.
Lancet Infect Dis ; 21(1): 28, 2021 01.
Article en En | MEDLINE | ID: mdl-32473660

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans Idioma: En Revista: Lancet Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans Idioma: En Revista: Lancet Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido
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