Evidence map›Paper›PMID 38840559›Full record

ArticleInternational journal of epidemiology2024

Temporal trends in disparities in COVID-19 seropositivity among Canadian blood donors.

Yuan Yu, Matthew J Knight, Diana Gibson, Sheila F O'Brien, David L Buckeridge, W Alton Russell

Abstract read
In one paragraph

Article in International journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Anti-SARS-CoV-2 Antibody Levels in a Cohort of Health Care Workers Before and After the Omicron Wave in Canada.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2025
    Article
  3. 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

6 authors.

Yuan YuSchool of Population and Global Health, McGill University, Montreal, Canada.
Matthew J KnightSchool of Population and Global Health, McGill University, Montreal, Canada.
Diana GibsonSchool of Population and Global Health, McGill University, Montreal, Canada.
Sheila F O'BrienCanadian Blood Services, Ottawa, Canada.
David L BuckeridgeSchool of Population and Global Health, McGill University, Montreal, Canada.ORCID 0000-0003-1817-5047
W Alton RussellSchool of Population and Global Health, McGill University, Montreal, Canada.ORCID 0000-0003-1780-4470

Funding

Canadian Blood Services
6 · The paper itself

Abstract

backgroundIn Canada's largest COVID-19 serological study, SARS-CoV-2 antibodies in blood donors have been monitored since 2020. No study has analysed changes in the association between anti-N seropositivity (a marker of recent infection) and geographic and sociodemographic characteristics over the pandemic.

methodsUsing Bayesian multi-level models with spatial effects at the census division level, we analysed changes in correlates of SARS-CoV-2 anti-N seropositivity across three periods in which different variants predominated (pre-Delta, Delta and Omicron). We analysed disparities by geographic area, individual traits (age, sex, race) and neighbourhood factors (urbanicity, material deprivation and social deprivation). Data were from 420 319 blood donations across four regions (Ontario, British Columbia [BC], the Prairies and the Atlantic region) from December 2020 to November 2022.

resultsSeropositivity was higher for racialized minorities, males and individuals in more materially deprived neighbourhoods in the pre-Delta and Delta waves. These subgroup differences dissipated in the Omicron wave as large swaths of the population became infected. Across all waves, seropositivity was higher in younger individuals and those with lower neighbourhood social deprivation. Rural residents had high seropositivity in the Prairies, but not other regions. Compared to generalized linear models, multi-level models with spatial effects had better fit and lower error when predicting SARS-CoV-2 anti-N seropositivity by geographic region.

conclusionsCorrelates of recent COVID-19 infection have evolved over the pandemic. Many disparities lessened during the Omicron wave, but public health intervention may be warranted to address persistently higher burden among young people and those with less social deprivation.

Indexed as

Bayes TheoremBlood DonorsCOVID-19SARS-CoV-2AdolescentAdultAgedAntibodies, ViralCanadaFemaleHealth Status DisparitiesHumansMaleMiddle AgedResidence CharacteristicsSeroepidemiologic StudiesAntibodies, ViralBayesian multi-level regressionblood donorsCOVID-19health disparitiesSerologysurveillance

Identifiers

PMID38840559
PMCPMC11153835

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.