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Genomic epidemiology of COVID-19 in care homes in the east of England

Authors :
William L Hamilton
Gerry Tonkin-Hill
Emily R Smith
Dinesh Aggarwal
Charlotte J Houldcroft
Ben Warne
Luke W Meredith
Myra Hosmillo
Aminu S Jahun
Martin D Curran
Surendra Parmar
Laura G Caller
Sarah L Caddy
Fahad A Khokhar
Anna Yakovleva
Grant Hall
Theresa Feltwell
Malte L Pinckert
Iliana Georgana
Yasmin Chaudhry
Colin S Brown
Sonia Gonçalves
Roberto Amato
Ewan M Harrison
Nicholas M Brown
Mathew A Beale
Michael Spencer Chapman
David K Jackson
Ian Johnston
Alex Alderton
John Sillitoe
Cordelia Langford
Gordon Dougan
Sharon J Peacock
Dominic P Kwiatowski
Ian G Goodfellow
M Estee Torok
COVID-19 Genomics Consortium UK
Source :
eLife, Vol 10 (2021)
Publication Year :
2021
Publisher :
eLife Sciences Publications Ltd, 2021.

Abstract

COVID-19 poses a major challenge to care homes, as SARS-CoV-2 is readily transmitted and causes disproportionately severe disease in older people. Here, 1167 residents from 337 care homes were identified from a dataset of 6600 COVID-19 cases from the East of England. Older age and being a care home resident were associated with increased mortality. SARS-CoV-2 genomes were available for 700 residents from 292 care homes. By integrating genomic and temporal data, 409 viral clusters within the 292 homes were identified, indicating two different patterns – outbreaks among care home residents and independent introductions with limited onward transmission. Approximately 70% of residents in the genomic analysis were admitted to hospital during the study, providing extensive opportunities for transmission between care homes and hospitals. Limiting viral transmission within care homes should be a key target for infection control to reduce COVID-19 mortality in this population.

Details

Language :
English
ISSN :
2050084X
Volume :
10
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.b27c3a56813c416cbfa05ed0311ba726
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.64618