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Anand, Paul; Allen, Heidi; Ferrer, Bob; Gold, Natalie; Gonzales Martinez, Rolando; Kontopantelis, Evangelos; Krause, Melanie and Vergunst, Francis
(2022).
DOI: https://doi.org/10.1136/jech-2020-215208
Abstract
Objective
To develop evidence of work-related and personal predictors of COVID-19 transmission.
Setting and Respondents
Data are drawn from a population survey of individuals in the US and UK conducted in June 2020.
Background Methods
Regression models are estimated for 1467 individuals in which reported evidence of infection depends on work- related factors as well as a variety of personal controls.
Results
The following themes emerge from the analysis. Firstly, a range of work related factors are significant sources of variation in COVID-19 infection as indicated by self-reports of medical diagnosis or symptoms. This includes evidence about workplace types, consultation about safety and union membership. The partial effect of transport related employment in regression models makes the chance of infection over three times more likely while in univariate analyses, transport related work increases the risk of infection by over 40 times in the US. Secondly, there is evidence that some home related factors are significant predictors of infection, most notably the sharing of accommodation or a kitchen. Thirdly, there is some evidence that behavioural factors and personal traits (including risk preference, extraversion and height) are important also.
Conclusions
The paper concludes that predictors of transmission relate to work, transport, home and personal factors. Transport related work settings are by far the greatest source of risk and so should be a focus of prevention policies. In addition, surveys of the sort developed in this paper are an important source of information on transmission pathways within the community.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)
