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Risk factors for SARS-CoV-2 infection at a UK electricity-generating company: a test-negative design case-control study.
Rutter, Charlotte E; van Tongeren, Martie; Fletcher, Tony; Rhodes, Sarah; Chen, Yiqun; Hall, Ian; Warren, Nicholas; Pearce, Neil.
Afiliación
  • Rutter CE; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK charlotte.rutter1@lshtm.ac.uk.
  • van Tongeren M; Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK.
  • Fletcher T; Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Rhodes S; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Chen Y; Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK.
  • Hall I; Science Division, Health and Safety Executive, Buxton, UK.
  • Warren N; Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK.
  • Pearce N; Public Health, Advice, Guidance and Expertise, UK Health Security Agency, London, UK.
Occup Environ Med ; 81(4): 184-190, 2024 Apr 28.
Article en En | MEDLINE | ID: mdl-38508710
ABSTRACT

OBJECTIVES:

Identify workplace risk factors for SARS-CoV-2 infection, using data collected by a UK electricity-generating company.

METHODS:

Using a test-negative design case-control study, we estimated the OR of infection by job category, site, test reason, sex, vaccination status, vulnerability, site outage and site COVID-19 weekly risk rating, adjusting for age, test date and test type.

RESULTS:

From an original 80 077 COVID-19 tests, there were 70 646 included in the final analysis. Most exclusions were due to being visitor tests (5030) or tests after an individual first tested positive (2968).Women were less likely to test positive than men (OR=0.71; 95% CI 0.58 to 0.86). Test reason was strongly associated with positivity and although not a cause of infection itself, due to differing test regimes by area, it was a strong confounder for other variables. Compared with routine tests, tests due to symptoms were highest risk (94.99; 78.29 to 115.24), followed by close contact (16.73; 13.80 to 20.29) and broader-defined work contact 2.66 (1.99 to 3.56). After adjustment, we found little difference in risk by job category, but some differences by site with three sites showing substantially lower risks, and one site showing higher risks in the final model.

CONCLUSIONS:

In general, infection risk was not associated with job category. Vulnerable individuals were at slightly lower risk, tests during outages were higher risk, vaccination showed no evidence of an effect on testing positive, and site COVID-19 risk rating did not show an ordered trend in positivity rates.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Occup Environ Med / Occup. environ. med / Occupational and environmental medicine Asunto de la revista: MEDICINA OCUPACIONAL / SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Occup Environ Med / Occup. environ. med / Occupational and environmental medicine Asunto de la revista: MEDICINA OCUPACIONAL / SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article