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Occupation, Worker Vulnerability, and COVID-19 Vaccination Uptake: Analysis of the Virus Watch prospective cohort study.
Beale, Sarah; Burns, Rachel; Braithwaite, Isobel; Byrne, Thomas; Lam Erica Fong, Wing; Fragaszy, Ellen; Geismar, Cyril; Hoskins, Susan; Kovar, Jana; Navaratnam, Annalan M D; Nguyen, Vincent; Patel, Parth; Yavlinsky, Alexei; Van Tongeren, Martie; Aldridge, Robert W; Hayward, Andrew.
  • Beale S; Centre for Public Health Data Science, Institute of Health Informatics, University College London NW1 2DA, UK; Institute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK. Electronic address: sarah.beale.19@ucl.ac.uk.
  • Burns R; Centre for Public Health Data Science, Institute of Health Informatics, University College London NW1 2DA, UK.
  • Braithwaite I; Centre for Public Health Data Science, Institute of Health Informatics, University College London NW1 2DA, UK.
  • Byrne T; Centre for Public Health Data Science, Institute of Health Informatics, University College London NW1 2DA, UK.
  • Lam Erica Fong W; Centre for Public Health Data Science, Institute of Health Informatics, University College London NW1 2DA, UK.
  • Fragaszy E; Centre for Public Health Data Science, Institute of Health Informatics, University College London NW1 2DA, UK; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
  • Geismar C; Centre for Public Health Data Science, Institute of Health Informatics, University College London NW1 2DA, UK; Institute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
  • Hoskins S; Institute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
  • Kovar J; Institute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
  • Navaratnam AMD; Centre for Public Health Data Science, Institute of Health Informatics, University College London NW1 2DA, UK; Institute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
  • Nguyen V; Centre for Public Health Data Science, Institute of Health Informatics, University College London NW1 2DA, UK; Institute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
  • Patel P; Centre for Public Health Data Science, Institute of Health Informatics, University College London NW1 2DA, UK.
  • Yavlinsky A; Centre for Public Health Data Science, Institute of Health Informatics, University College London NW1 2DA, UK.
  • Van Tongeren M; Centre for Occupational and Environmental Health, University of Manchester, Manchester M13 9PL, UK.
  • Aldridge RW; Centre for Public Health Data Science, Institute of Health Informatics, University College London NW1 2DA, UK.
  • Hayward A; Institute of Epidemiology and Health Care, University College London, London WC1E 7HB, UK.
Vaccine ; 40(52): 7646-7652, 2022 Dec 12.
Article in English | MEDLINE | ID: covidwho-2096116
ABSTRACT

BACKGROUND:

Occupational disparities in COVID-19 vaccine uptake can impact the effectiveness of vaccination programmes and introduce particular risk for vulnerable workers and those with high workplace exposure. This study aimed to investigate COVID-19 vaccine uptake by occupation, including for vulnerable groups and by occupational exposure status.

METHODS:

We used data from employed or self-employed adults who provided occupational information as part of the Virus Watch prospective cohort study (n = 19,595) and linked this to study-obtained information about vulnerability-relevant characteristics (age, medical conditions, obesity status) and work-related COVID-19 exposure based on the Job Exposure Matrix. Participant vaccination status for the first, second, and third dose of any COVID-19 vaccine was obtained based on linkage to national records and study records. We calculated proportions and Sison-Glaz multinomial 95% confidence intervals for vaccine uptake by occupation overall, by vulnerability-relevant characteristics, and by job exposure.

FINDINGS:

Vaccination uptake across occupations ranged from 89-96% for the first dose, 87-94% for the second dose, and 75-86% for the third dose, with transport, trade, service and sales workers persistently demonstrating the lowest uptake. Vulnerable workers tended to demonstrate fewer between-occupational differences in uptake than non-vulnerable workers, although clinically vulnerable transport workers (76%-89% across doses) had lower uptake than several other occupational groups (maximum across doses 86%-96%). Workers with low SARS-CoV-2 exposure risk had higher vaccine uptake (86%-96% across doses) than those with elevated or high risk (81-94% across doses).

INTERPRETATION:

Differential vaccination uptake by occupation, particularly amongst vulnerable and highly-exposed workers, is likely to worsen occupational and related socioeconomic inequalities in infection outcomes. Further investigation into occupational and non-occupational factors influencing differential uptake is required to inform relevant interventions for future COVID-19 booster rollouts and similar vaccination programmes.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Adult / Humans Language: English Journal: Vaccine Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Adult / Humans Language: English Journal: Vaccine Year: 2022 Document Type: Article