Evidence map›Paper›PMID 41536773›Full record

ArticleCanada communicable disease report = Releve des maladies transmissibles au Canada2025

Trust in community as a predictor of public health measure adherence: Insights from a national Canadian survey.

Neil Seeman, Justin Trent, Kumar Murty

Abstract read
In one paragraph

Article in Canada communicable disease report = Releve des maladies transmissibles au Canada, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Neil SeemanInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON.
Justin TrentFields Institute for Research in Mathematical Sciences, Toronto, ON.
Kumar MurtyFields Institute for Research in Mathematical Sciences, Toronto, ON.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Public health models often lack comprehensive behavioural data, leading to inaccurate predictions about the spread of disease and insufficient information about how to effectively build and sustain adherence to changing public health protocols. Objective: The current study addresses this lack of comprehensive behavioural data by examining the role of trust as a predictor of adherence to public health measures. Methods: Data were collected from an online Web intercept survey of 3,021 randomly engaged Canadians aged 16 years and older, analyzing factors such as gender, education and sources of COVID-19 information in relation to adherence to public health guidelines. Results: Trust, respecting someone's expertise sufficiently to be willing to accept their counsel, emerged as a potent predictor of adherence to public health measures, highlighting the significance of trust in shaping community engagement; further, community-level adherence was found to predict anticipated future adherence. Conclusion: This study emphasizes the critical role of trust, especially at the community level, in the success of public health measures, and proposes integrating trust measurement into public health models of compliance and resistance.

Indexed as

adherence to guidelinescommunity resiliencepredictive modellingpublic health measurestrust in community

Identifiers

PMID41536773
PMCPMC12798833

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.