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Record W4405667195 · doi:10.1002/jmv.70127

Rates and Factors Related to COVID‐19 Vaccine Uptake in Racialized and Indigenous Individuals in Canada: The Deleterious Effect of Experience of Racial Discrimination

2024· article· en· W4405667195 on OpenAlexafffundabout
Rose Darly Dalexis, Seyed Mohammad Mahdi Moshirian Farahi, Junio Dort, Idrissa Beogo, Lewis Ampidu Clorméus, Lisa Caulley, Yan Xu, Jude Mary Cénat

Bibliographic record

VenueJournal of Medical Virology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsUniversity of Ottawa
FundersPublic Health AgencyPublic Health Agency of Canada
KeywordsIndigenousDemographyEthnic groupVaccinationMedicineConfidence intervalSocioeconomic statusHealth equityWhite (mutation)GerontologyPublic healthImmunologyEnvironmental healthInternal medicineBiologyPopulationPolitical scienceSociology

Abstract

fetched live from OpenAlex

ABSTRACT Racialized and Indigenous communities have been disproportionately affected by COVID‐19 infections and mortality, driven by systemic socioeconomic inequalities. However, how these factors specifically influence COVID‐19 vaccine uptake is not documented among racialized individuals in Canada. The present study aims to examine COVID‐19 vaccine uptake rates and related factors among racialized and Indigenous communities compared to White people in Canada. In total, 41,931 individuals aged 16 and older, consisting mainly of Arab, Asian, Black, Indigenous, and White individuals, were randomly invited to participate from a panel of 420,000 Canadian households. A total of 4220 participants completed this cross‐sectional survey study in October 2023. In total, 89.60% of participants were vaccinated: 2.38% received one dose, 31.45% received two doses, 33.46% received three doses, 18.86% received four doses, and 13.86% received five doses and more. There were significant differences according to racial and ethnic background in vaccine uptake ( χ 2 = 57.45, p < 0.001), with Indigenous and Black individuals having lower vaccination rates (83.54%, OR = 1.98% and 84.76%, OR = 2.16, p < 0.01) compared to White individuals (91.66%). Confidence in health authorities was positively associated with vaccine uptake ( B = 0.62, p < 0.001). Conspiracy beliefs partially mediated this association ( B = −0.13, p < 0.001). Racial discrimination attenuated vaccine uptake, even if respondents had confidence in health authorities ( B = −0.08, p < 0.001). Vaccine uptake was lowest amongst Indigenous and Black communities, placing them at higher risk of severe COVID‐19 infection. In addition to mistrust of public health authorities due to racism, racialized communities are affected by conspiracy beliefs that hinder COVID‐19 vaccine uptake. A whole‐of‐society approach to address barriers to vaccine uptake among racialized populations, including wage disparities, racial discrimination, is needed to eliminate racial health disparities and increase vaccination rates in racialized communities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.825

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.343
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2024
Admission routes3
Has abstractyes

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