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Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions
Jasmina Panovska-Griffiths; Ben Swallow; Robert Hinch; Jamie A Cohen; Katherine Rosenfeld; Robyn M Stuart; Luca Ferretti; Francesco Di Lauro; Chris Wymant; Amanda Izzo; William Waites; Russell M Viner; Chris Bonell; - The COVID-19 Genomics UK (COG-UK) consortium; Christophe Fraser; Daniel J Klein; Cliff Kerr.
Afiliação
  • Jasmina Panovska-Griffiths; University of Oxford
  • Ben Swallow; University of Glasgow
  • Robert Hinch; University of Oxford
  • Jamie A Cohen; Institute for Disease Modeling
  • Katherine Rosenfeld; Institute for Disease Modeling
  • Robyn M Stuart; University of Copenhagen
  • Luca Ferretti; University of Oxford
  • Francesco Di Lauro; University of Oxford
  • Chris Wymant; University of Oxford
  • Amanda Izzo; Institute for Diseases Modeling
  • William Waites; London School of Hygiene and Tropical Medicine
  • Russell M Viner; UCL Great Ormond St. Institute of Child Health
  • Chris Bonell; LSHTM
  • - The COVID-19 Genomics UK (COG-UK) consortium; -
  • Christophe Fraser; University of Oxford
  • Daniel J Klein; Institute for Disease Modelling
  • Cliff Kerr; Institute for Disease Modeling
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21267090
ABSTRACT
The English SARS-CoV-2 epidemic has been affected by the emergence of new viral variants such as B.1.177, Alpha and Delta, and changing restrictions. We used statistical models and calibration of an stochastic agent-based model Covasim to estimate B.1.177 to be 20% more transmissible than the wild type, Alpha to be 50-80% more transmissible than B.1.177 and Delta to be 65-90% more transmissible than Alpha. We used these estimates in Covasim (calibrated between September 01, 2020 and June 20, 2021), in June 2021, to explore whether planned relaxation of restrictions should proceed or be delayed. We found that due to the high transmissibility of Delta, resurgence in infections driven by the Delta variant would not be prevented, but would be strongly reduced by delaying the relaxation of restrictions by one month and with continued vaccination.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
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