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Estimates of regional infectivity of COVID-19 in the United Kingdom following imposition of social distancing measures.
Challen, Robert; Tsaneva-Atanasova, Krasimira; Pitt, Martin; Edwards, Tom; Gompels, Luke; Lacasa, Lucas; Brooks-Pollock, Ellen; Danon, Leon.
  • Challen R; EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter EX4 4SB, UK.
  • Tsaneva-Atanasova K; Taunton and Somerset NHS Foundation Trust, Musgrove Park Hospital, Taunton TA1 5DA, UK.
  • Pitt M; EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter EX4 4SB, UK.
  • Edwards T; The Alan Turing Institute, British Library, 96 Euston Road, London NW1 2DB, UK.
  • Gompels L; NIHR CLAHRC for the South West Peninsula, University of Exeter Medical School, St Luke's Campus, Exeter, UK.
  • Lacasa L; Taunton and Somerset NHS Foundation Trust, Musgrove Park Hospital, Taunton TA1 5DA, UK.
  • Brooks-Pollock E; Taunton and Somerset NHS Foundation Trust, Musgrove Park Hospital, Taunton TA1 5DA, UK.
  • Danon L; School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, UK.
Philos Trans R Soc Lond B Biol Sci ; 376(1829): 20200280, 2021 07 19.
Article in English | MEDLINE | ID: covidwho-1309697
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ABSTRACT
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reproduction number has become an essential parameter for monitoring disease transmission across settings and guiding interventions. The UK published weekly estimates of the reproduction number in the UK starting in May 2020 which are formed from multiple independent estimates. In this paper, we describe methods used to estimate the time-varying SARS-CoV-2 reproduction number for the UK. We used multiple data sources and estimated a serial interval distribution from published studies. We describe regional variability and how estimates evolved during the early phases of the outbreak, until the relaxing of social distancing measures began to be introduced in early July. Our analysis is able to guide localized control and provides a longitudinal example of applying these methods over long timescales. This article is part of the theme issue 'Modelling that shaped the early COVID-19 pandemic response in the UK'.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / SARS-CoV-2 / COVID-19 / Models, Theoretical Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Philos Trans R Soc Lond B Biol Sci Year: 2021 Document Type: Article Affiliation country: Rstb.2020.0280

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / SARS-CoV-2 / COVID-19 / Models, Theoretical Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Philos Trans R Soc Lond B Biol Sci Year: 2021 Document Type: Article Affiliation country: Rstb.2020.0280