Evidence map›Paper›PMID 32474298›Full record

ReviewEnvironment international2020

Estimating traffic contribution to particulate matter concentration in urban areas using a multilevel Bayesian meta-regression approach.

Shahram Heydari, Marko Tainio, James Woodcock, Audrey de Nazelle

Open access · goldAbstract readReview
In one paragraph

Review in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Effects of PMScientific reports · 2025
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  8. Climate action has valuable health benefits.Environmental epidemiology (Philadelphia, Pa.) · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Analysis of lockdown for CoViD-19 impact on NOProcess safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B · 2021
    Article
  18. 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

4 authors at 4 institutions in 3 countries.

Shahram HeydariDepartment of Civil, Maritime, and Environmental Engineering, University of Southampton, UK. Electronic address: s.heydari@soton.ac.uk.
Marko TainioSustainable Urban Programme, Finnish Environment Institute SYKE, Helsinki, Finland; University of Cambridge, MRC Epidemiology unit, Cambridge, United Kingdom; Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland. Electronic address: marko.tainio@ymparisto.fi.
James WoodcockPolish Academy of Sciences, Systems Research Institute, Warsaw, Poland. Electronic address: jw745@medschl.cam.ac.uk.
Audrey de NazelleCentre for Environmental Policy, Imperial College London, London, UK. Electronic address: anazelle@imperial.ac.uk.
Imperial College London · GBPolish Academy of Sciences · PLSystems Research Institute · PLUniversity of Southampton · GB

Funding

Medical Research Council MR/K023187/1Medical Research Council MR/P024408/1Medical Research Council MR/S019669/1
6 · The paper itself

Abstract

Quantifying traffic contribution to air pollution in urban settings is required to inform traffic management strategies and environmental policies that aim at improving air quality. Assessments and comparative analyses across multiple urban areas are challenged by the lack of datasets and methods available for global applications. In this study, we quantify the traffic contribution to particulate matter concentration in multiple cities worldwide by synthesising 155 previous studies reported in the World Health Organization (WHO)'s air pollution source apportionment data for PM

Indexed as

Air PollutantsAir PollutionBayes TheoremCitiesEnvironmental MonitoringEuropeNorth AmericaParticulate MatterAir PollutantsParticulate MatterAir QualityMeta-analysisParticulate MatterSource apportionmentTrafficUncertainty

Identifiers

PMID32474298
PMCPMC7273192
OpenAlexW3031281418

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.