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Outbreaks in care homes may lead to substantial disease burden if not mitigated.
Hall, Ian; Lewkowicz, Hugo; Webb, Luke; House, Thomas; Pellis, Lorenzo; Sedgwick, James; Gent, Nick.
  • Hall I; Department of Mathematics, University of Manchester, Manchester, UK.
  • Lewkowicz H; The Alan Turing Institute, London, UK.
  • Webb L; Department of Mathematics, University of Manchester, Manchester, UK.
  • House T; Department of Mathematics, University of Manchester, Manchester, UK.
  • Pellis L; Department of Mathematics, University of Manchester, Manchester, UK.
  • Sedgwick J; The Alan Turing Institute, London, UK.
  • Gent N; IBM Research, Hartree Centre, SciTech Daresbury, Warrington, UK.
Philos Trans R Soc Lond B Biol Sci ; 376(1829): 20200269, 2021 07 19.
Article in English | MEDLINE | ID: covidwho-1309688
ABSTRACT
The number of COVID-19 outbreaks reported in UK care homes rose rapidly in early March of 2020. Owing to the increased co-morbidities and therefore worse COVID-19 outcomes for care home residents, it is important that we understand this increase and its future implications. We demonstrate the use of an SIS model where each nursing home is an infective unit capable of either being susceptible to an outbreak (S) or in an active outbreak (I). We use a generalized additive model to approximate the trend in growth rate of outbreaks in care homes and find the fit to be improved in a model where the growth rate is proportional to the number of current care home outbreaks compared with a model with a constant growth rate. Using parameters found from the outbreak-dependent growth rate, we predict a 73% prevalence of outbreaks in UK care homes without intervention as a reasonable worst-case planning assumption. 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 Type of study: Observational study / Prognostic study Limits: Aged / Female / Humans / Male Country/Region as subject: Europa Language: English Journal: Philos Trans R Soc Lond B Biol Sci Year: 2021 Document Type: Article Affiliation country: Rstb.2020.0269

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Aged / Female / Humans / Male Country/Region as subject: Europa Language: English Journal: Philos Trans R Soc Lond B Biol Sci Year: 2021 Document Type: Article Affiliation country: Rstb.2020.0269