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The incidence of COVID-19-related hospitalisation in migrants in the UK: Findings from the Virus Watch prospective community cohort study.
Fong, Wing Lam Erica; Nguyen, Vincent G; Burns, Rachel; Boukari, Yamina; Beale, Sarah; Braithwaite, Isobel; Byrne, Thomas E; Geismar, Cyril; Fragaszy, Ellen; Hoskins, Susan; Kovar, Jana; Navaratnam, Annalan Md; Oskrochi, Youssof; Patel, Parth; Tweed, Sam; Yavlinsky, Alexei; Hayward, Andrew C; Aldridge, Robert W.
Affiliation
  • Fong WLE; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Nguyen VG; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Burns R; Institute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
  • Boukari Y; Department of Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London WC1N 1EH, UK.
  • Beale S; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Braithwaite I; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Byrne TE; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Geismar C; Institute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
  • Fragaszy E; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Hoskins S; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Kovar J; Institute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
  • Navaratnam AM; Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London W2 1PG, UK.
  • Oskrochi Y; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Patel P; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
  • Tweed S; Institute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
  • Yavlinsky A; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Hayward AC; Institute of Health Informatics, University College London, London NW1 2DA, UK.
  • Aldridge RW; Institute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
J Migr Health ; 9: 100218, 2024.
Article in En | MEDLINE | ID: mdl-38559897
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Migr Health Year: 2024 Document type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Migr Health Year: 2024 Document type: Article Affiliation country: United kingdom