Evidence map›Paper›PMID 42414827›Full record

ArticleEnvironmental science and pollution research international2026

Real-time record of particulate matter along traffic roads and health risk assessment.

Beata Górka-Kostrubiec, Tomasz Werner

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 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

2 authors.

Beata Górka-KostrubiecInstitute of Geophysics, Polish Academy of Sciences, Warsaw, Poland. kostrub@igf.edu.pl.ORCID http://orcid.org/0000-0001-6337-7583
Tomasz WernerInstitute of Geophysics, Polish Academy of Sciences, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution from road traffic is a major environmental and public health concern in European cities. Many municipalities have introduced Clean Transport Zones (CTZs) to restrict high-emission vehicles and improve air quality. This study evaluated whether the planned CTZ in Warsaw, Poland, could reduce particulate matter (PM) concentrations and the associated respiratory exposure. A mobile monitoring system equipped with an optical particle analyzer measured real-time concentrations of four PM fractions along traffic routes, while the multiple-path particle deposition model was applied to assess age-dependent inhalation and deposition in the human respiratory tract. Average PM2.5 and PM10 concentrations did not differ significantly between the CTZ and the surrounding access routes. The highest concentrations occurred near major intersections, traffic lights, pedestrian crossings, and congestion zones, where PM2.5 and PM10 levels increased by up to an order of magnitude compared to uninterrupted traffic flow. Traffic disruptions, rather than CTZ location, are the primary drivers of short-term PM exposure. PM10-PM2.5 contributed approximately three times more to peak PM10 concentrations than under traffic-background conditions. Respiratory exposure analysis revealed significant age-related differences. Inhaled doses of PM1 decreased with age, deposition of PM10 in tracheobronchial and pulmonary regions was substantially higher in young children. PM10 mass deposition per area in 3-year-old children (0.78 μg m⁻

Indexed as

Air PollutantsParticulate MatterVehicle EmissionsAir PollutionChild, PreschoolEnvironmental MonitoringHumansPolandRisk AssessmentAir PollutantsParticulate MatterVehicle EmissionsAir pollutionClean transport zoneHealth effectParticulate matter grain-size fractionsTraffic-pollution

Identifiers

PMID42414827
PMCPMC13415474

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.