Evidence map›Paper›PMID 38559897›Full record

ArticleJournal of migration and health2024

The incidence of COVID-19-related hospitalisation in migrants in the UK: Findings from the Virus Watch prospective community cohort study.

Wing Lam Erica Fong, Vincent G Nguyen, Rachel Burns, Yamina Boukari, Sarah Beale, Isobel Braithwaite, Thomas E Byrne, Cyril Geismar, Ellen Fragaszy, Susan Hoskins and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of migration and health, 2024. 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. Observational
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

18 authors.

Wing Lam Erica FongInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Vincent G NguyenInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Rachel BurnsInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Yamina BoukariInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Sarah BealeInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Isobel BraithwaiteInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Thomas E ByrneInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Cyril GeismarInstitute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
Ellen FragaszyInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Susan HoskinsInstitute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
Jana KovarInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Annalan Md NavaratnamInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Youssof OskrochiInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Parth PatelInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Sam TweedInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Alexei YavlinskyInstitute of Health Informatics, University College London, London NW1 2DA, UK.
Andrew C HaywardInstitute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
Robert W AldridgeInstitute of Health Informatics, University College London, London NW1 2DA, UK.

Funding

Medical Research Council MR/V028375/1Wellcome Trust
6 · The paper itself

Abstract

Background: Migrants in the United Kingdom (UK) may be at higher risk of SARS-CoV-2 exposure; however, little is known about their risk of COVID-19-related hospitalisation during waves 1-3 of the pandemic. Methods: We analysed secondary care data linked to Virus Watch study data for adults and estimated COVID-19-related hospitalisation incidence rates by migration status. To estimate the total effect of migration status on COVID-19 hospitalisation rates, we ran mixed-effect Poisson regression for wave 1 (01/03/2020-31/08/2020; wildtype), and mixed-effect negative binomial regressions for waves 2 (01/09/2020-31/05/2021; Alpha) and 3 (01/06/2020-31/11/2021; Delta). Results of all models were then meta-analysed. Results: Of 30,276 adults in the analyses, 26,492 (87.5 %) were UK-born and 3,784 (12.5 %) were migrants. COVID-19-related hospitalisation incidence rates for UK-born and migrant individuals across waves 1-3 were 2.7 [95 % CI 2.2-3.2], and 4.6 [3.1-6.7] per 1,000 person-years, respectively. Pooled incidence rate ratios across waves suggested increased rate of COVID-19-related hospitalisation in migrants compared to UK-born individuals in unadjusted 1.68 [1.08-2.60] and adjusted analyses 1.35 [0.71-2.60]. Conclusion: Our findings suggest migration populations in the UK have excess risk of COVID-19-related hospitalisations and underscore the need for more equitable interventions particularly aimed at COVID-19 vaccination uptake among migrants.

Indexed as

COVID-19-related hospitalizationEnglandMigrant healthUnited Kingdom

Identifiers

PMID38559897
PMCPMC10978526

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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.