Evidence map›Paper›PMID 40153448›Full record

ArticlePLOS global public health2025

Patterns of SARS-CoV-2 seropositivity among essential workers in long term care and retirement homes in Ontario, Canada: A descriptive cross-sectional study.

Christine Fahim, Siyi Wang, Nimitha Paul, Karen Colwill, Roya Dayam, Jamie M Boyd, Huiting Ma, Vincenza Gruppuso, Ana Mrazovac, Jessica Firman and 8 more

Abstract read
In one paragraph

Article in PLOS global public health, 2025. 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

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

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

18 authors.

Christine FahimLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.ORCID https://orcid.org/0000-0002-6809-7027
Siyi WangLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
Nimitha PaulLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
Karen ColwillLunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Canada.ORCID https://orcid.org/0000-0002-8979-1659
Roya DayamLunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Canada.
Jamie M BoydLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
Huiting MaLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
Vincenza GruppusoLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.ORCID https://orcid.org/0009-0001-9983-8844
Ana MrazovacLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
Jessica FirmanLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
Anjali PatelLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
Vanessa BachLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
Keelia Quinn de LaunayLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.ORCID https://orcid.org/0000-0001-8274-7359
Alyson TakaokaLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
Vanja GrubacLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
Anne-Claude GingrasDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Sharon E StrausLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.
Sharmistha MishraLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding patterns of SARS-CoV-2 seroprevalence among Long-Term Care Home and Retirement Home (LTCH/RH) staff is critical to designing effective public health interventions. We estimated SARS-CoV-2 seroprevalence among LTCH/RH staff in Ontario, Canada between May 2021-October 2022 using a cross-sectional analysis. Eligible participants completed a demographic questionnaire and provided a dried blood spot sample. Positive seroprevalence was defined as the proportion of individuals in a population who were positive for a SARS-CoV-2 infection, determined using anti-nucleocapsid total IgG antibodies analyzed with a validated chemiluminescent ELISA. We report age-adjusted prevalence ratios [PR; confidence interval, CI] by participant socio-demographic, household, neighbourhood, and occupational characteristics and stratified the analyses over two time periods (period 1: 2021-05-17 to 2021-12-31; period 2: 2022-01-02 to 2022-10-25). A total of 603 staff were included in our analysis; n=235 (39%) were enrolled in period 1 and n=368 (61%) were enrolled in period 2. Seroprevalence was 24% and 44% in periods 1 and 2, respectively. Age-adjusted prevalence ratios were nearly 2-fold higher among Black [PR 1.78; CI 1.28-2.48], East and Southeast Asian [PR 1.55, CI 1.18-2.04] and other racialized participants [PR 1.42, CI 1.03-1.96] compared to White participants. We did not observe a pattern across household characteristics, although we observed a trend towards higher seropositivity among participants living in COVID-19 hotspots. Prevalence ratios were lower for participants in higher income neighbourhoods [PR 0.72, CI 0.58-0.98]. We did not observe variability in seroprevalence across occupational characteristics with the exception of paid sick leave which was higher among participants with home-provided paid sick leave at the time of the survey [PR 0.58, CI 0.45-0.75]. Among LTCH/RH staff, we found important sources of variability of SARS-CoV-2 seroprevalence and strong correlations with socioeconomic disparities. Our findings show the importance of designing equity-rooted health interventions that recognize the intersection between community and the workplace.

Identifiers

PMID40153448
PMCPMC11952236

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LicenceCC BY
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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.