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Practical considerations for measuring the effective reproductive number, Rt.
Gostic, Katelyn M; McGough, Lauren; Baskerville, Edward B; Abbott, Sam; Joshi, Keya; Tedijanto, Christine; Kahn, Rebecca; Niehus, Rene; Hay, James A; De Salazar, Pablo M; Hellewell, Joel; Meakin, Sophie; Munday, James D; Bosse, Nikos I; Sherrat, Katharine; Thompson, Robin N; White, Laura F; Huisman, Jana S; Scire, Jérémie; Bonhoeffer, Sebastian; Stadler, Tanja; Wallinga, Jacco; Funk, Sebastian; Lipsitch, Marc; Cobey, Sarah.
Afiliação
  • Gostic KM; Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States of America.
  • McGough L; Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States of America.
  • Baskerville EB; Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States of America.
  • Abbott S; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Joshi K; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States of America.
  • Tedijanto C; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States of America.
  • Kahn R; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States of America.
  • Niehus R; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States of America.
  • Hay JA; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States of America.
  • De Salazar PM; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States of America.
  • Hellewell J; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Meakin S; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Munday JD; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Bosse NI; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Sherrat K; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Thompson RN; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • White LF; Mathematical Institute, University of Oxford, Oxford, United Kingdom.
  • Huisman JS; Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America.
  • Scire J; Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.
  • Bonhoeffer S; Department of Biosystems Science and Engineering, ETH Zürich, Switzerland.
  • Stadler T; Department of Biosystems Science and Engineering, ETH Zürich, Switzerland.
  • Wallinga J; Swiss Institute of Bioinformatics, Basel, Switzerland.
  • Funk S; Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.
  • Lipsitch M; Department of Biosystems Science and Engineering, ETH Zürich, Switzerland.
  • Cobey S; Swiss Institute of Bioinformatics, Basel, Switzerland.
PLoS Comput Biol ; 16(12): e1008409, 2020 12.
Article em En | MEDLINE | ID: mdl-33301457
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Número Básico de Reprodução / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
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Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Número Básico de Reprodução / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article