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Persistent COVID-19 symptoms in a community study of 606,434 people in England

Matthew Whitaker, Joshua Elliott, Marc Chadeau-Hyam, Steven Riley, Ara Darzi, Graham Cooke, Helen Ward and Paul Elliott ()
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Matthew Whitaker: Imperial College London
Joshua Elliott: Imperial College Healthcare NHS Trust
Marc Chadeau-Hyam: Imperial College London
Steven Riley: Imperial College London
Ara Darzi: Imperial College Healthcare NHS Trust
Graham Cooke: Imperial College Healthcare NHS Trust
Helen Ward: Imperial College Healthcare NHS Trust
Paul Elliott: Imperial College London

Nature Communications, 2022, vol. 13, issue 1, 1-10

Abstract: Abstract Long COVID remains a broadly defined syndrome, with estimates of prevalence and duration varying widely. We use data from rounds 3–5 of the REACT-2 study (n = 508,707; September 2020 – February 2021), a representative community survey of adults in England, and replication data from round 6 (n = 97,717; May 2021) to estimate the prevalence and identify predictors of persistent symptoms lasting 12 weeks or more; and unsupervised learning to cluster individuals by reported symptoms. At 12 weeks in rounds 3–5, 37.7% experienced at least one symptom, falling to 21.6% in round 6. Female sex, increasing age, obesity, smoking, vaping, hospitalisation with COVID-19, deprivation, and being a healthcare worker are associated with higher probability of persistent symptoms in rounds 3–5, and Asian ethnicity with lower probability. Clustering analysis identifies a subset of participants with predominantly respiratory symptoms. Managing the long-term sequelae of COVID-19 will remain a major challenge for affected individuals and their families and for health services.

Date: 2022
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DOI: 10.1038/s41467-022-29521-z

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