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Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example.
Overton, Christopher E; Stage, Helena B; Ahmad, Shazaad; Curran-Sebastian, Jacob; Dark, Paul; Das, Rajenki; Fearon, Elizabeth; Felton, Timothy; Fyles, Martyn; Gent, Nick; Hall, Ian; House, Thomas; Lewkowicz, Hugo; Pang, Xiaoxi; Pellis, Lorenzo; Sawko, Robert; Ustianowski, Andrew; Vekaria, Bindu; Webb, Luke.
Afiliação
  • Overton CE; Department of Mathematics, University of Manchester, UK.
  • Stage HB; Department of Mathematical Sciences, University of Liverpool, UK.
  • Ahmad S; Department of Mathematics, University of Manchester, UK.
  • Curran-Sebastian J; Department of Virology, Manchester Medical Microbiology Partnership, Manchester Foundation Trust, UK.
  • Dark P; Manchester Academic Health Sciences Centre, UK.
  • Das R; Department of Mathematics, University of Manchester, UK.
  • Fearon E; Division of Infection, Immunity and Respiratory Medicine, NIHR Biomedical Research Centre, University of Manchester, UK.
  • Felton T; Critical Care Unit, Salford Royal Hospital, Northern Care Alliance NHS Group, UK.
  • Fyles M; Department of Mathematics, University of Manchester, UK.
  • Gent N; Department of Global Health and Development, London School of Hygiene and Tropical Medicine, UK.
  • Hall I; Division of Infection, Immunity and Respiratory Medicine, NIHR Biomedical Research Centre, University of Manchester, UK.
  • House T; Intensive Care Unit, Wythenshawe Hospital, Manchester University NHS Foundation Trust, UK.
  • Lewkowicz H; Department of Mathematics, University of Manchester, UK.
  • Pang X; The Alan Turing Institute, UK.
  • Pellis L; Emergency Response Department, Public Health England, UK.
  • Sawko R; Department of Mathematics, University of Manchester, UK.
  • Ustianowski A; Emergency Response Department, Public Health England, UK.
  • Vekaria B; Department of Mathematics, University of Manchester, UK.
  • Webb L; IBM Research, Hartree Centre, SciTech Daresbury, UK.
Infect Dis Model ; 5: 409-441, 2020.
Article em En | MEDLINE | ID: mdl-32691015
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Infect Dis Model Ano de publicação: 2020 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 Idioma: En Revista: Infect Dis Model Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido