Evidence map›Paper›PMID 38481842›Full record

ArticleFrontiers in public health2024

Visible minority status and occupation were associated with increased COVID-19 infection in Greater Vancouver British Columbia between June and November 2020: an ecological study.

Binay Adhikari, Younathan Abdia, Notice Ringa, Felicity Clemens, Sunny Mak, Caren Rose, Naveed Z Janjua, Michael Otterstatter, Michael A Irvine

Abstract read
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Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Binay AdhikariBC Centre for Disease Control, Vancouver, BC, Canada.
Younathan AbdiaBC Centre for Disease Control, Vancouver, BC, Canada.
Notice RingaBC Centre for Disease Control, Vancouver, BC, Canada.
Felicity ClemensBC Centre for Disease Control, Vancouver, BC, Canada.
Sunny MakBC Centre for Disease Control, Vancouver, BC, Canada.
Caren RoseBC Centre for Disease Control, Vancouver, BC, Canada.
Naveed Z JanjuaBC Centre for Disease Control, Vancouver, BC, Canada.
Michael OtterstatterBC Centre for Disease Control, Vancouver, BC, Canada.
Michael A IrvineBC Centre for Disease Control, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic has highlighted health disparities, especially among specific population groups. This study examines the spatial relationship between the proportion of visible minorities (VM), occupation types and COVID-19 infection in the Greater Vancouver region of British Columbia, Canada. Methods: Provincial COVID-19 case data between June 24, 2020, and November 7, 2020, were aggregated by census dissemination area and linked with sociodemographic data from the Canadian 2016 census. Bayesian spatial Poisson regression models were used to examine the association between proportion of visible minorities, occupation types and COVID-19 infection. Models were adjusted for COVID-19 testing rates and other sociodemographic factors. Relative risk (RR) and 95% Credible Intervals (95% CrI) were calculated. Results: We found an inverse relationship between the proportion of the Chinese population and risk of COVID-19 infection (RR = 0.98 95% CrI = 0.96, 0.99), whereas an increased risk was observed for the proportions of the South Asian group (RR = 1.10, 95% CrI = 1.08, 1.12), and Other Visible Minority group (RR = 1.06, 95% CrI = 1.04, 1.08). Similarly, a higher proportion of frontline workers (RR = 1.05, 95% CrI = 1.04, 1.07) was associated with higher infection risk compared to non-frontline. Conclusion: Despite adjustments for testing, housing, occupation, and other social economic status variables, there is still a substantial association between the proportion of visible minorities, occupation types, and the risk of acquiring COVID-19 infection in British Columbia. This ecological analysis highlights the existing disparities in the burden of diseases among different visible minority populations and occupation types.

Indexed as

COVID-19Minority GroupsBayes TheoremBritish ColumbiaCOVID-19 TestingHumansOccupationsPandemicsBayesian analysisCOVID-19 pandemicepidemiologygeospatial analysis and modelinghealth disparitiessocial determinants of healthvisible minority groups

Identifiers

PMID38481842
PMCPMC10935735

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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.