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Identifying employee, workplace and population characteristics associated with COVID-19 outbreaks in the workplace: a population-based study.
Overton, Christopher E; Abbey, Rachel; Baird, Tarrion; Christie, Rachel; Daniel, Owen; Day, Julie; Gittins, Matthew; Jones, Owen; Paton, Robert; Tang, Maria; Ward, Tom; Wilkinson, Jack; Woodrow-Hill, Camilla; Aldridge, Timothy; Chen, Yiqun.
Afiliação
  • Overton CE; UK Health Security Agency, London, UK c.overton@liverpool.ac.uk.
  • Abbey R; Department of Mathematical Sciences, University of Liverpool, Liverpool, UK.
  • Baird T; UK Health Security Agency, London, UK.
  • Christie R; UK Health Security Agency, London, UK.
  • Daniel O; Department of Pathology, University of Cambridge, Cambridge, UK.
  • Day J; UK Health Security Agency, London, UK.
  • Gittins M; Office for National Statistics, Newport, UK.
  • Jones O; UK Health Security Agency, London, UK.
  • Paton R; Centre for Biostatistics, The University of Manchester, Manchester, UK.
  • Tang M; UK Health Security Agency, London, UK.
  • Ward T; UK Health Security Agency, London, UK.
  • Wilkinson J; UK Health Security Agency, London, UK.
  • Woodrow-Hill C; UK Health Security Agency, London, UK.
  • Aldridge T; Centre for Biostatistics, The University of Manchester, Manchester, UK.
  • Chen Y; UK Health Security Agency, London, UK.
Occup Environ Med ; 81(2): 92-100, 2024 Feb 02.
Article em En | MEDLINE | ID: mdl-38191477
ABSTRACT

OBJECTIVES:

To identify risk factors that contribute to outbreaks of COVID-19 in the workplace and quantify their effect on outbreak risk.

METHODS:

We identified outbreaks of COVID-19 cases in the workplace and investigated the characteristics of the individuals, the workplaces, the areas they work and the mode of commute to work, through data linkages based on Middle Layer Super Output Areas in England between 20 June 2021 and 20 February 2022. We estimated population-level associations between potential risk factors and workplace outbreaks, adjusting for plausible confounders identified using a directed acyclic graph.

RESULTS:

For most industries, increased physical proximity in the workplace was associated with increased risk of COVID-19 outbreaks, while increased vaccination was associated with reduced risk. Employee demographic risk factors varied across industry, but for the majority of industries, a higher proportion of black/African/Caribbean ethnicities and living in deprived areas, was associated with increased outbreak risk. A higher proportion of employees in the 60-64 age group was associated with reduced outbreak risk. There were significant associations between gender, work commute modes and staff contract type with outbreak risk, but these were highly variable across industries.

CONCLUSIONS:

This study has used novel national data linkages to identify potential risk factors of workplace COVID-19 outbreaks, including possible protective effects of vaccination and increased physical distance at work. The same methodological approach can be applied to wider occupational and environmental health research.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saúde Ocupacional / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Occup Environ Med Assunto da revista: MEDICINA OCUPACIONAL / SAUDE AMBIENTAL Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saúde Ocupacional / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Occup Environ Med Assunto da revista: MEDICINA OCUPACIONAL / SAUDE AMBIENTAL Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido