Differential Patterns by Area-Level Social Determinants of Health in Coronavirus Disease 2019 (COVID-19)–Related Mortality and Non–COVID-19 Mortality: A Population-Based Study of 11.8 Million People in Ontario, Canada
Open accessAbstract
Background: Social determinants of health (SDOH) have been associated with coronavirus disease 2019 (COVID-19) outcomes. We examined patterns in COVID-19–related mortality by SDOH and compared these patterns to those for non–COVID-19 mortality. Methods: Residents of Ontario, Canada, aged ≥20 years were followed from 1 March 2020 to 2 March 2021. COVID-19–related death was defined as death within 30 days following or 7 days prior to a positive COVID-19 test. Area-level SDOH from the 2016 census included median household income; proportion with diploma or higher educational attainment; proportion essential workers, racially minoritized groups, recent immigrants, apartment buildings, and high-density housing; and average household size. We examined associations between SDOH and COVID-19–related mortality, and non-COVID-19 mortality using cause-specific hazard models. Results: Of 11 810 255 individuals, we observed 3880 COVID-19–related deaths and 88 107 non–COVID-19 deaths. After accounting for demographics, baseline health, and other area-level SDOH, the following were associated with increased hazards of COVID-19–related death (hazard ratio [95% confidence interval]: lower income (1.30 [1.04–1.62]), lower educational attainment (1.27 [1.07–1.52]), higher proportions essential workers (1.28 [1.05–1.57]), racially minoritized groups (1.42 [1.08–1.87]), apartment buildings (1.25 [1.07–1.46]), and large vs medium household size (1.30 [1.12–1.50]). Areas with higher proportion racially minoritized groups were associated with a lower hazard of non–COVID-19 mortality (0.88 [0.84–0.92]). Conclusions: Area-level SDOH are associated with COVID-19–related mortality after accounting for demographic and clinical factors. COVID-19 has reversed patterns of lower non–COVID-19 mortality among racially minoritized groups. Pandemic responses should include strategies to address disproportionate risks and inequitable coverage of preventive interventions associated with SDOH.
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Date of death was determined using CCM and RPDB, which capture over 99.3% of COVID-19 deaths in Ontario.
“Date of death was determined using CCM and RPDB, which capture over 99.3 % of COVID-19 deaths in Ontario(3).”
From Social inequalities in COVID-19 death by area-level income in 11.2 million people in Ontario, Canada: patterns over time and the mediating role of vaccination. (2026) · cites this paper as [3]
The Methods > Outcomes passage says the date of death was determined using CCM and RPDB. It estimates that the two databases capture 99.3% of COVID-19–related deaths, whereas the claim states as fact that they capture over 99.3%. (LLM, conf=0.87)
Experimental — accuracy not yet measuredSocial inequalities in COVID-19 deaths were evident during the early pandemic period across the world.
“Social inequalities in COVID-19 deaths were evident during the early pandemic period across the world(2-8).”
Adjustment for area-level SDOH and individual-level demographics and baseline health attenuated but did not nullify the magnitude of inequality.
“Adjustment for area-level SDOH and individual-level demographics and baseline health attenuated but did not nullify the magnitude of inequality(3).”
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Wang, L., Swayze, S., Bodner, K., Calzavara, A., Harrigan, S. P., Siddiqi, A., Baral, S. D., Austin, P. C., Smylie, J., Koh, M., et al. (2026) · American Journal of Epidemiology · doi:10.1093/aje/kwaf051 · Cited by 5 · see citing works
Self-citation
- Authors
- Wang, L., Calzavara, A., Baral, S., Smylie, J., Chan, A. K., Sander, B., Austin, P. C., Kwong, J. C., & Mishra, S.
- Affiliations
- St. Michael's Hospital (CA)
- Institute for Clinical Evaluative Sciences (CA)
- Johns Hopkins University (US)
- Sunnybrook Health Science Centre (CA)
- University Health Network (CA)
- Corresponding author
- Mishra, Sharmistha
- ORCID
- Venue
- Clinical Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2022-10-28
- Volume
- 76
- Issue
- 6
- Pages
- 1110-1120
- ISSN
- 1058-4838 (ISSN-L)
- 1537-6591
- PMC
- PMC9620355
- OpenAlex
- W4307493348
- Cited by
- 29
- References
- 3
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 13 · 2023: 4 · 2022: 1
- FWCI
- 3.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Clinical Infectious Diseases (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research
- St. Michael’s Hospital Foundation
- ICES
- MOH and the MLTC
- a Tier 2 Canada Research Chair in Mathematical Modelling and Program Science
- University of Toronto Department of Family and Community Medicine
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Keywords
- COVID-19 mortality, social determinants of health, non-COVID-19 mortality, racial and ethnic minorities, household income, educational attainment, essential workers, housing conditions, apartment buildings, household size, Ontario, health disparities, pandemic response, census data, cause-specific mortality, new immigrants, high-density housing, racial disparities in mortality
- MeSH terms
- COVID-19, Humans, Income, Ontario, Surveys and Questionnaires, Social Determinants of Health
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