Evidence map›Paper›PMID 41262780›Full record

ArticleBMJ public health2025

Associations between social determinants of health and COVID-19 outcomes by variants of concern: a Bayesian spatiotemporal analysis.

Fanyu Xiu, Michael A Irvine, Natalie Prystajecky, Linda Hoang, Linwei Wang, Sharmistha Mishra, Beate Sander, Stefan Baral, Naveed Z Janjua, Hind Sbihi

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Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Fanyu XiuBC Centre for Disease Control, Vancouver, British Columbia, Canada.
Michael A IrvineBC Centre for Disease Control, Vancouver, British Columbia, Canada.
Natalie PrystajeckyBC Centre for Disease Control, Vancouver, British Columbia, Canada.
Linda HoangBC Centre for Disease Control, Vancouver, British Columbia, Canada.
Linwei WangMAP-Centre for Urban Health Solutions, Unity Health Toronto, Toronto, Ontario, Canada.
Sharmistha MishraMAP-Centre for Urban Health Solutions, Unity Health Toronto, Toronto, Ontario, Canada.
Beate SanderInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Stefan BaralDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Naveed Z JanjuaBC Centre for Disease Control, Vancouver, British Columbia, Canada.
Hind SbihiBC Centre for Disease Control, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0002-4288-7258

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Socially and economically disadvantaged populations were disproportionately affected by COVID-19, but it remains unclear whether and how variants of concern moderated the associations between social determinants of health and COVID-19 outcomes. Methods: We aggregated cases by week and health region (n=231) from 1 January 2021 to 27 February 2022, covering four major variants of concern waves-Alpha, Gamma, Delta and Omicron-in British Columbia, the third most populated province in Canada. We constructed a region-specific, continuous socioeconomic index (SI) in which a one-unit increase represents a 10% increase in socioeconomic status across the health region. We fitted Bayesian spatiotemporal models on four COVID-19 outcomes separately: cases, hospitalisations, intensive care unit admissions and deaths, adjusting for interaction between SI and variants of concern, percentage male and vaccine coverage. We estimated the marginal rate ratio (RR) between SI and the outcomes by variants of concern. Results: Overall, Alpha, Gamma and Delta heightened the associations between SI and all outcomes. The marginal RR between SI and cases was 0.96 (95% credible interval (CrI): 0.93, 1.00) in the absence of variants of concern, 0.93 (95% CrI: 0.88, 0.97) in the presence of Alpha, 0.93 (95% CrI: 0.88, 0.98) for Gamma and 0.90 (95% CrI: 0.87, 0.93) for Delta. Omicron reversed the direction of SI's association with cases (RR: 1.03, 95% CrI: 0.99, 1.07) and dampened the associations with other outcomes. Conclusions: Variants of concern generally widened the socioeconomic disparities in COVID-19 outcomes. Tailoring and optimising pandemic preparedness and response measures to the specific needs of disadvantaged populations is vital for reducing the additional disease burden experienced by some communities in British Columbia and across Canada.

Indexed as

Communicable Disease ControlCOVID-19SARS-CoV-2Sociodemographic FactorsSpace-Time Clustering

Identifiers

PMID41262780
PMCPMC12625959

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.