Outbreaks in care homes may lead to substantial disease burden if not mitigated.


Journal

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
ISSN: 1471-2970
Titre abrégé: Philos Trans R Soc Lond B Biol Sci
Pays: England
ID NLM: 7503623

Informations de publication

Date de publication:
19 07 2021
Historique:
entrez: 31 5 2021
pubmed: 1 6 2021
medline: 11 6 2021
Statut: ppublish

Résumé

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'.

Identifiants

pubmed: 34053256
doi: 10.1098/rstb.2020.0269
pmc: PMC8165603
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

20200269

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V038613/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 202562/Z/16/Z
Pays : United Kingdom

Références

Euro Surveill. 2020 Apr;25(17):
pubmed: 32372755
Infect Dis Model. 2020 Jul 04;5:409-441
pubmed: 32691015
Philos Trans R Soc Lond B Biol Sci. 2021 Jul 19;376(1829):20200264
pubmed: 34053267
Epidemiol Infect. 2014 Jan;142(1):107-13
pubmed: 23570654
Infect Dis Model. 2020 Feb 29;5:264-270
pubmed: 32190785
J R Soc Med. 2012 Feb;105(2):66-73
pubmed: 22357982

Auteurs

Ian Hall (I)

Department of Mathematics, University of Manchester, Manchester, UK.
The Alan Turing Institute, London, UK.

Hugo Lewkowicz (H)

Department of Mathematics, University of Manchester, Manchester, UK.

Luke Webb (L)

Department of Mathematics, University of Manchester, Manchester, UK.

Thomas House (T)

Department of Mathematics, University of Manchester, Manchester, UK.
The Alan Turing Institute, London, UK.
IBM Research, Hartree Centre, SciTech Daresbury, Warrington, UK.

Lorenzo Pellis (L)

Department of Mathematics, University of Manchester, Manchester, UK.
The Alan Turing Institute, London, UK.

James Sedgwick (J)

Public Health England, Field Service, London, UK.

Nick Gent (N)

Public Health England, Emergency Response, London, UK.

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Classifications MeSH