Work-related and personal predictors of COVID-19 transmission: evidence from the UK and USA.
J Epidemiol Community Health
; 76(2): 152-157, 2022 02.
Article
in English
| MEDLINE | ID: covidwho-1307931
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 USA and UK conducted in June 2020. BACKGROUNDMETHODS:
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. First, 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 USA. Second, there is evidence that some home-related factors are significant predictors of infection, most notably the sharing of accommodation or a kitchen. Third, there is some evidence that behavioural factors and personal traits (including risk preference, extraversion and height) are also important.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.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
COVID-19
Type of study:
Observational study
/
Prognostic study
Limits:
Humans
Country/Region as subject:
Europa
Language:
English
Journal:
J Epidemiol Community Health
Year:
2022
Document Type:
Article
Affiliation country:
Jech-2020-215208
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