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Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England.
Davies, Nicholas G; Abbott, Sam; Barnard, Rosanna C; Jarvis, Christopher I; Kucharski, Adam J; Munday, James D; Pearson, Carl A B; Russell, Timothy W; Tully, Damien C; Washburne, Alex D; Wenseleers, Tom; Gimma, Amy; Waites, William; Wong, Kerry L M; van Zandvoort, Kevin; Silverman, Justin D; Diaz-Ordaz, Karla; Keogh, Ruth; Eggo, Rosalind M; Funk, Sebastian; Jit, Mark; Atkins, Katherine E; Edmunds, W John.
Afiliación
  • Davies NG; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK. nicholas.davies@lshtm.ac.uk.
  • Abbott S; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Barnard RC; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Jarvis CI; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Kucharski AJ; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Munday JD; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Pearson CAB; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Russell TW; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Tully DC; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Washburne AD; Selva Analytics LLC, Bozeman, MT, USA.
  • Wenseleers T; Lab of Socioecology and Social Evolution, KU Leuven, Leuven, Belgium.
  • Gimma A; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Waites W; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Wong KLM; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • van Zandvoort K; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Silverman JD; College of Information Science and Technology, Pennsylvania State University, University Park, PA, USA.
  • Diaz-Ordaz K; Centre for Statistical Methodology and Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
  • Keogh R; Centre for Statistical Methodology and Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
  • Eggo RM; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Funk S; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Jit M; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Atkins KE; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
  • Edmunds WJ; Centre for Global Health, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Science ; 372(6538)2021 04 09.
Article en En | MEDLINE | ID: mdl-33658326
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male País/Región como asunto: America do norte / Europa Idioma: En Revista: Science Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male País/Región como asunto: America do norte / Europa Idioma: En Revista: Science Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos