Evidence map›Paper›PMID 41366625›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2026

Clearing the air: Which pollution source matters most for health?

Ying Liu, Marianne Hatzopoulou, Stéphane Buteau, Shayamilla Mahagammulla Gamage, Sara Torbatian, Arman Ganji, Audrey Smargiassi

Abstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique, 2026. 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

7 authors.

Ying LiuSchool of Public Health, University of Montreal, Montreal, QC, Canada.
Marianne HatzopoulouDepartment of Civil and Mineral Engineering, University of Toronto, Toronto, ON, Canada.
Stéphane ButeauSchool of Public Health, University of Montreal, Montreal, QC, Canada.
Shayamilla Mahagammulla GamageDepartment of Civil and Mineral Engineering, University of Toronto, Toronto, ON, Canada.
Sara TorbatianDepartment of Civil and Mineral Engineering, University of Toronto, Toronto, ON, Canada.
Arman GanjiDepartment of Civil and Mineral Engineering, University of Toronto, Toronto, ON, Canada.
Audrey SmargiassiSchool of Public Health, University of Montreal, Montreal, QC, Canada. audrey.smargiassi@umontreal.ca.ORCID http://orcid.org/0000-0002-3904-8058

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAir pollution remains a significant public health challenge, contributing to substantial morbidity and mortality. The aim of this study is to identify effective intervention strategies for mitigating air pollution and its health effects in southern Quebec.

methodsWe employ the Polair3D chemical transport model to estimate population-weighted concentrations of fine particulate matter (PM

resultsAll scenarios reduced air pollutant concentrations and associated mortality to varying degrees. The EPA and EV interventions are the most effective in reducing mortality, lowering deaths attributable to pollutants by 15.26% (789 deaths from 5169 to 4380) and 16.13% (834 deaths from 5169 to 4335), respectively. The EPA scenario yields the greatest reduction in PM

conclusionTargeted interventions can significantly reduce air pollution-related mortality. Replacing residential wood stoves and fully electrifying vehicles are particularly effective, with distinct benefits for PM

Indexed as

Air PollutionEnvironmental ExposureAir PollutantsHumansMortalityNitrogen DioxideOzoneParticulate MatterQuebecAir PollutantsNitrogen DioxideOzoneParticulate MatterAQBATIntervention scenarioMortalityNO2O3PM2.5Polair3D

Identifiers

PMID41366625
PMCPMC13534371

What OpenQuestion holds

Textmetadata
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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.