ArticleJournal of transport & health2025
Modeling Traffic-Related Air Pollution Burden of Disease using High Spatial Resolution Data.
Article in Journal of transport & health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Expert perspectives on exposure-response functions for urban health policy: Lessons from a UBDPolicy workshop.Environmental research · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Introduction: Traffic-related air pollution (TRAP), particularly fine particulate matter (PM Methods: This study evaluated the BoD attributable to PM Results: The use of high-resolution population data resulted in lower average exposure concentrations and mortality estimates compared to tract-level PM Conclusions: Spatial resolution in population and mortality data substantially affects TRAP-related BoD estimates. In the study region, high-resolution population data, which accounts for land use and excludes non-residential areas near major roads, led to lower estimates of population exposure and lower BoD estimates compared to coarser resolution data. In settings with substantial populations near high-traffic corridors, high-resolution population data, which captures actual population concentrations unlike the even distribution assumed in coarser census tract data, combined with localized mortality data, may increase BoD estimates by accurately mapping exposure and health variations.
Identifiers
What OpenQuestion holds
Registered trials
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