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Serial Interval Distribution of SARS-CoV-2 Infection in Brazil
Carlos A. Prete Jr.; Lewis Buss; Amy Dighe; Victor Bertollo Porto; Darlan da Silva Candido; Fabio Ghilardi; Oliver G. Pybus; Wanderson Kleber de Oliveira; Julio H. R. Croda; Ester Cerdeira Sabino; Nuno R. Faria; Christl A. Donnelly; Vitor Heloiz Nascimento.
Afiliación
  • Carlos A. Prete Jr.; Department of Electronic Systems Engineering, University of Sao Paulo
  • Lewis Buss; Institute of Tropical Medicine, University of Sao Paulo
  • Amy Dighe; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London
  • Victor Bertollo Porto; Secretaria de Vigilancia em Saude
  • Darlan da Silva Candido; Department of Zoology, University of Oxford
  • Fabio Ghilardi; Institute of Tropical Medicine, University of Sao Paulo
  • Oliver G. Pybus; Department of Zoology, University of Oxford
  • Wanderson Kleber de Oliveira; Secretaria de Vigilancia em Saude
  • Julio H. R. Croda; Secretaria de Vigilancia em Saude
  • Ester Cerdeira Sabino; Institute of Tropical Medicine, University of Sao Paulo
  • Nuno R. Faria; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London; Department o
  • Christl A. Donnelly; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London; Department o
  • Vitor Heloiz Nascimento; Department of Electronic Systems Engineering, University of Sao Paulo
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20127043
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ABSTRACT
Using 65 transmission pairs of SARS-CoV-2 reported to the Brazilian Ministry of Health we estimate the mean and standard deviation for the serial interval to be 2.97 and 3.29 days respectively. We also present a model for the serial interval probability distribution using only two parameters.
Licencia
cc_by_nc_nd
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Idioma: En Año: 2020 Tipo del documento: Preprint