A spatial model of COVID-19 transmission in England and Wales: early spread, peak timing and the impact of seasonality.


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

An outbreak of a novel coronavirus was first reported in China on 31 December 2019. As of 9 February 2020, cases have been reported in 25 countries, including probable human-to-human transmission in England. We adapted an existing national-scale metapopulation model to capture the spread of COVID-19 in England and Wales. We used 2011 census data to inform population sizes and movements, together with parameter estimates from the outbreak in China. We predict that the epidemic will peak 126 to 147 days (approx. 4 months) after the start of person-to-person transmission in the absence of controls. Assuming biological parameters remain unchanged and transmission persists from February, we expect the peak to occur in June. Starting location and model stochasticity have a minimal impact on peak timing. However, realistic parameter uncertainty leads to peak time estimates ranging from 78 to 241 days following sustained transmission. Seasonal changes in transmission rate can substantially impact the timing and size of the epidemic. We provide initial estimates of the epidemic potential of COVID-19. These results can be refined with more precise parameters. Seasonal changes in transmission could shift the timing of the peak into winter, with important implications for healthcare capacity planning. This article is part of the theme issue 'Modelling that shaped the early COVID-19 pandemic response in the UK.

Identifiants

pubmed: 34053261
doi: 10.1098/rstb.2020.0272
pmc: PMC8165591
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

20200272

Subventions

Organisme : Medical Research Council
ID : MC_PC_19067
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19067/2
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V038613/1
Pays : United Kingdom

Références

N Engl J Med. 2020 Mar 26;382(13):1199-1207
pubmed: 31995857
Epidemics. 2009 Dec;1(4):250-8
pubmed: 21352771
Lancet. 2020 Feb 29;395(10225):689-697
pubmed: 32014114
Lancet Infect Dis. 2020 May;20(5):553-558
pubmed: 32171059
Wellcome Open Res. 2020 Feb 3;5:17
pubmed: 32322691

Auteurs

Leon Danon (L)

Department of Engineering Mathematics, Population Health Sciences, University of Bristol, Bristol BS8 1QU, UK.

Ellen Brooks-Pollock (E)

Bristol Veterinary School, Population Health Sciences, University of Bristol, Bristol BS8 1QU, UK.
NIHR Health Protection Research Unit (HPRU) in Behavioural Science and Evaluation, Population Health Sciences, University of Bristol, Bristol BS8 1QU, UK.

Mick Bailey (M)

Bristol Veterinary School, Population Health Sciences, University of Bristol, Bristol BS8 1QU, UK.

Matt Keeling (M)

Mathematics Institute, and School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK.

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Classifications MeSH