Evidence map›Paper›PMID 40623808›Full record

ArticleJournal of epidemiology and community health2026

Estimating the risk of post-COVID condition in deprived communities, migrants and ethnic minorities in England: findings from Virus Watch-a prospective community cohort study.

Wing Lam Erica Fong, Sarah Beale, Vincent Nguyen, Jana Kovar, Alexei Yavlinsky, Andrew C Hayward, Ibrahim Abubakar, Sander Mj van Kuijk, Robert Aldridge

Abstract read
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Article in Journal of epidemiology and community health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Post Covid-19 Condition as a Diagnosis: A Qualitative Study on Epistemological Tensions Among Experts in Sweden.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Wing Lam Erica FongInstitute of Health Informatics, University College London, London, UK erica.fong.16@ucl.ac.uk.ORCID http://orcid.org/0000-0001-5097-2228
Sarah BealeInstitute of Health Informatics, University College London, London, UK.
Vincent NguyenInstitute of Health Informatics, University College London, London, UK.
Jana KovarInstitute of Health Informatics, University College London, London, UK.
Alexei YavlinskyInstitute of Health Informatics, University College London, London, UK.
Andrew C HaywardInstitute of Epidemiology and Health Care, University College London, London, UK.
Ibrahim AbubakarFaculty of Population Health, University College London, London, UK.
Sander Mj van KuijkDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre (MUMC), Maastricht, The Netherlands.
Robert AldridgeInstitute of Health Informatics, University College London, London, UK.ORCID http://orcid.org/0000-0003-0542-0816

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundDeprived communities, migrants and ethnic minorities were disproportionately affected by COVID-19 and may, therefore, be at a higher risk of post-COVID condition (PCC). This analysis, using data from the Virus Watch study, investigates how deprivation, migration status and ethnic minority status influence PCC risk in both the full cohort (all regardless of infection status) and those with a confirmed COVID-19 infection.

methodsA subset of participants from Virus Watch, a prospective community cohort study in England, were included. We used logistic regression to compare the predicted probability of developing PCC in both full and infected cohorts among different deprivation levels, migration and ethnic minority status categories by sex-at-birth during pre-Omicron and Omicron periods, adjusting for sociodemographic covariates.

resultsDuring the pre-Omicron period, PCC probability increased with deprivation levels, especially in females (most deprived: 7.8%, 95% CI 4.6% to 11.0%; least deprived: 3.5%, 2.5%-4.5%). Migrant and ethnic minority males had a higher likelihood of PCC than their respective counterparts, particularly in the full cohort for migrants (6.3%, 1.8%-10.8%) and the previously infected cohort for ethnic minorities (38.8%, 21.2%-56.4%). However, these disparities were less pronounced in females. In the Omicron period, these differential probabilities were also less evident.

conclusionOur findings suggest that greater PCC probability among these populations is driven by increased infection risk and postinfection determinants. This underscores the need for policies and interventions to reduce infection risk and affordable and easily available healthcare services for those with PCC.

Indexed as

COVID-19Ethnic and Racial MinoritiesTransients and MigrantsAdultAgedEnglandFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsSARS-CoV-2COVID-19EPIDEMIOLOGYHealth inequalities

Identifiers

PMID40623808
PMCPMC12911603

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.