Evidence map›Paper›PMID 42509493›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2026

Dual Epidemics in Toronto: Shared and Divergent Neighborhood Risks of COVID-19 and Opioid Mortality from a Joint Spatial and Temporal Analysis.

Nushrat Nazia, Zahid Ahmad Butt

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Nushrat NaziaDepartment of Pathology & Molecular Medicine, McMaster University, Hamilton, Ontario, Canada. nnazia@uwaterloo.ca.ORCID http://orcid.org/0000-0002-0579-0027
Zahid Ahmad ButtSchool of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toronto experienced two overlapping public health emergencies during the COVID-19 pandemic, with a surge in opioid-related mortality. We assess how these mortality risks co-occurred and diverged across 158 neighborhoods from January 2020 to April 2023. We analyze monthly deaths using a joint Bayesian modeling framework with shared and outcome-specific spatial, temporal, and space-time interaction components. Neighborhood socioeconomic covariates include visible minority, low income, educational attainment, core housing need, and age structure. Our results identify spatial and temporal variations in mortality across Toronto and the socioeconomic drivers behind these variations. High shared spatial risks were observed in parts of northwest Etobicoke, York, and eastern Scarborough. Outcome-specific patterns diverged, with opioid deaths persistently clustered in downtown and west end hotspots, while COVID-19 mortality spatial risks were more spread out across Toronto. Temporally, COVID-19 mortality risks fluctuated throughout the pandemic, while opioid mortality remained relatively stable. Opioid mortality was associated with neighborhood deprivation, including low income (RR = 1.58, 95% CrI 1.34-1.87) and lower educational attainment (RR = 1.43, 1.20-1.70), and was highest in younger adults (25-44 years). COVID-19 mortality was most associated with neighborhood concentrations of older adults aged over 65 years (RR = 1.49, 1.17-1.91), with weak evidence for low income (RR = 1.38, 1.00-1.90). The visible minority concentration was inversely associated with opioid mortality (RR = 0.69, 0.53-0.90). Findings support integrated neighborhood-level responses, such as expansion of harm reduction and low-barrier treatment in opioid hotspots, sustained protections for older adults in higher COVID-19 mortality neighborhoods, and coordinating multi-sector efforts in high shared risk neighborhoods.

Indexed as

COVID-19Neighborhood CharacteristicsResidence CharacteristicsBayes TheoremHumansOntarioRisk FactorsSocioeconomic Disparities in HealthSocioeconomic FactorsSpatio-Temporal AnalysisJoint Bayesian hierarchical modelingNeighborhood-level analysisSocial determinants of healthSpatial and temporal trendsUrban health inequities

Identifiers

PMID42509493
PMCPMC13525141

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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.