UK prevalence of underlying conditions which increase the risk of severe Covid-19 disease

A point prevalence study using electronic health records

Bibliographic Data

ID15380473
AuthorsJemma Walker (0000-0003-3728-9509, Public Health England, corresponding author), Jemma L Walker, Daniel Grint (0000-0001-8001-6544, University of London), Daniel J Grint, Helen Strongman (0000-0001-8739-4601, London School of Hygiene & Tropical Medicine), Rosalind M Eggo (0000-0002-0362-6717, London School of Hygiene & Tropical Medicine), Maria Peppa (0000-0002-4181-0638, University of Liverpool), Caroline Minassian (0000-0001-9406-1928, London School of Hygiene & Tropical Medicine), Kathryn E Mansfield (0000-0002-2551-410X, University of London), Christopher T Rentsch (0000-0002-1408-7907, University of London), Ian Douglas (0000-0002-2451-8133, University of London), Ian J Douglas, Rohini Mathur (0000-0002-3817-8790, London School of Hygiene & Tropical Medicine), Angel Wong (0000-0002-8618-7333, University of London), Angel Y S Wong, Jennifer K Quint (0000-0003-0149-4869, Imperial College London), Nick Andrews (0000-0003-4388-1832, University of Liverpool), Jamie Lopez Bernal (0000-0002-1301-5653, Public Health England), J Anthony G Scott (0000-0001-7533-5006, University of London), J Anthony Scott, Mark Ramsay (0000-0002-7156-7640, Health Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool), Mary Ramsay, Liam Smeeth (0000-0002-9168-6022, Health Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool), Helen Mcdonald (0000-0002-7797-6410), Helen I McDonald (0000-0003-0576-2015, University of London)
Year2021
Volume21
Issue1
Pages484-484
Publication date2021-03-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-021-10427-2
PMID33706738
OpenAlexW3081161032
LanguageEN
References cited21

The population at risk of severe COVID-19 (defined as either aged ≥70 years, or younger with an underlying health condition) comprises 18.5 million individuals in the UK, including a considerable proportion of school-aged and working-aged individuals. Our national estimates broadly support the use of Global Burden of Disease modelled estimates in other countries. We provide age- and region- stratified prevalence for each condition to support effective modelling of public health interventions and planning of vaccine resource allocation. The high prevalence of health conditions among older age groups suggests that age-targeted vaccination strategies may efficiently target individuals at higher risk of severe COVID-19

Disease · Environmental health · Pathology · Population · Public health · COVID-19 and healthcare impacts · COVID-19 Impact on Reproduction · Demography · Health disparities and outcomes · Medicine · Epidemiology · Internal Medicine · Pediatrics

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