Abstract |
The activities performed by Canadian workers in some occupations may increase the risk of exposure to infectious diseases such as COVID-19. This research note explores how occupational exposure risks vary by labor force characteristics using publicly available Canadian data in combination with a data set providing information on the level of physical proximity and frequency of exposure to infections or diseases faced by workers in different occupations. The results show important sociodemographic differences. First, women work in occupations associated with significantly higher average risks of exposure to COVID-19 than men. This is driven by their overrepresentation in high-risk broad occupational categories such as health occupations. Second, older workers (65 years or more), a group vulnerable to COVID-19, appear to work in occupations requiring performing activities characterized by a lower level of physical proximity than their younger colleagues, with minimal differences in the frequency of exposure to diseases or infections. Finally, workers in low-income occupations are employed in occupations that put them at greater risk of exposure to COVID-19 than other workers. This is especially the case for women, immigrants, and members of visible minority groups in low-income occupations. More broadly, this research note provides insights into the health-related dimension of the literature on occupational tasks and labor market stratification.
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Authors | Xavier St-Denis |
Journal | Canadian review of sociology = Revue canadienne de sociologie
(Can Rev Sociol)
Vol. 57
Issue 3
Pg. 399-452
(Aug 2020)
ISSN: 1755-618X [Electronic] United States |
PMID | 32662245
(Publication Type: Journal Article)
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Copyright | © 2020 Canadian Sociological Association/La Société canadienne de sociologie. |
Topics |
- Adolescent
- Adult
- Age Factors
- Aged
- Betacoronavirus
- COVID-19
- Canada
- Coronavirus Infections
- Ethnicity
- Female
- Humans
- Least-Squares Analysis
- Male
- Middle Aged
- Minority Groups
- Occupational Exposure
(statistics & numerical data)
- Occupations
- Pandemics
- Pneumonia, Viral
- Risk
- SARS-CoV-2
- Sex Factors
- Socioeconomic Factors
- Young Adult
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