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SARS-CoV-2 infections in migrants and the role of household overcrowding: a causal mediation analysis of Virus Watch data.
Boukari, Yamina; Beale, Sarah; Nguyen, Vincent; Fong, Wing Lam Erica; Burns, Rachel; Yavlinsky, Alexei; Hoskins, Susan; Lewis, Kate; Geismar, Cyril; Navaratnam, Annalan Md; Braithwaite, Isobel; Byrne, Thomas E; Oskrochi, Youssof; Tweed, Sam; Kovar, Jana; Patel, Parth; Hayward, Andrew; Aldridge, Robert.
Afiliação
  • Boukari Y; Institute of Health Informatics, University College London, London, UK.
  • Beale S; Institute of Health Informatics, University College London, London, UK.
  • Nguyen V; Institute of Epidemiology and Health Care, University College London, London, UK.
  • Fong WLE; Institute of Health Informatics, University College London, London, UK.
  • Burns R; Institute of Epidemiology and Health Care, University College London, London, UK.
  • Yavlinsky A; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
  • Hoskins S; Institute of Health Informatics, University College London, London, UK.
  • Lewis K; Institute of Health Informatics, University College London, London, UK.
  • Geismar C; Institute of Health Informatics, University College London, London, UK.
  • Navaratnam AM; Institute of Epidemiology and Health Care, University College London, London, UK.
  • Braithwaite I; Population, Policy and Practice Department, University College London Great Ormond Street Institute of Child Health, London, UK.
  • Byrne TE; Institute of Epidemiology and Health Care, University College London, London, UK.
  • Oskrochi Y; Institute of Health Informatics, University College London, London, UK.
  • Tweed S; Institute of Epidemiology and Health Care, University College London, London, UK.
  • Kovar J; Institute of Health Informatics, University College London, London, UK.
  • Patel P; Institute of Health Informatics, University College London, London, UK.
  • Hayward A; Institute of Health Informatics, University College London, London, UK.
  • Aldridge R; Institute of Health Informatics, University College London, London, UK.
J Epidemiol Community Health ; 77(10): 649-655, 2023 10.
Article em En | MEDLINE | ID: mdl-37463770
ABSTRACT

BACKGROUND:

Migrants are over-represented in SARS-CoV-2 infections globally; however, evidence is limited for migrants in England and Wales. Household overcrowding is a risk factor for SARS-CoV-2 infection, with migrants more likely to live in overcrowded households than UK-born individuals. We aimed to estimate the total effect of migration status on SARS-CoV-2 infection and to what extent household overcrowding mediated this effect.

METHODS:

We included a subcohort of individuals from the Virus Watch prospective cohort study during the second SARS-CoV-2 wave (1 September 2020-30 April 2021) who were aged ≥18 years, self-reported the number of rooms in their household and had no evidence of SARS-CoV-2 infection pre-September 2020. We estimated total, indirect and direct effects using Buis' logistic decomposition regression controlling for age, sex, ethnicity, clinical vulnerability, occupation, income and whether they lived with children.

RESULTS:

In total, 23 478 individuals were included. 9.07% (187/2062) of migrants had evidence of infection during the study period vs 6.27% (1342/21 416) of UK-born individuals. Migrants had 22% higher odds of infection during the second wave (total effect; OR 1.22, 95% CI 1.01 to 1.47). Household overcrowding accounted for approximately 36% (95% CI -4% to 77%) of these increased odds (indirect effect, OR 1.07, 95% CI 1.03 to 1.12; proportion accounted for indirect effect on log odds scale/total effect on log odds scale=0.36).

CONCLUSION:

Migrants had higher odds of SARS-CoV-2 infection during the second wave compared with UK-born individuals and household overcrowding explained 36% of these increased odds. Policy interventions to reduce household overcrowding for migrants are needed as part of efforts to tackle health inequalities during the pandemic and beyond.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Migrantes / COVID-19 Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Migrantes / COVID-19 Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article