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Estimating SARS-CoV-2 variant fitness and the impact of interventions in England using statistical and geo-spatial agent-based models.
Hinch, Robert; Panovska-Griffiths, Jasmina; Probert, William J M; Ferretti, Luca; Wymant, Chris; Di Lauro, Francesco; Baya, Nikolas; Ghafari, Mahan; Abeler-Dörner, Lucie; Fraser, Christophe.
Afiliação
  • Hinch R; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Panovska-Griffiths J; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Probert WJM; The Queen's College, and, University of Oxford, Oxford, UK.
  • Ferretti L; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Wymant C; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Di Lauro F; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Baya N; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Ghafari M; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Abeler-Dörner L; Department of Zoology, University of Oxford, Oxford, UK.
Philos Trans A Math Phys Eng Sci ; 380(2233): 20210304, 2022 Oct 03.
Article em En | MEDLINE | ID: mdl-35965459
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Limite: Humans Idioma: En Revista: Philos Trans A Math Phys Eng Sci Assunto da revista: BIOFISICA / ENGENHARIA BIOMEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Imprimir
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PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Limite: Humans Idioma: En Revista: Philos Trans A Math Phys Eng Sci Assunto da revista: BIOFISICA / ENGENHARIA BIOMEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido