Evidence map›Paper›PMID 41245596›Full record

ArticleEnvironmental health insights2025

Protecting Public Health With Clean Transportation in North Carolina.

Elizabeth S McClure, Seowoo Jung, Virginia T Guidry

Abstract read
In one paragraph

Article in Environmental health insights, 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.

Elizabeth S McClureDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, USA.ORCID https://orcid.org/0000-0002-2339-8766
Seowoo JungGillings School of Global Public Health, University of North Carolina at Chapel Hill, USA.
Virginia T GuidryNorth Carolina Department of Health and Human Services, Raleigh, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traffic-related air pollution (TRAP) is an increasingly predominant source of air pollution in North Carolina (NC). Several executive orders have sought to address TRAP and prevent potential health effects from this source of exposure. In January 2022, NC Governor Roy Cooper signed Executive Order 246 (EO 246), which directed the North Carolina Department of Transportation to develop the North Carolina Clean Transportation Plan with considerations for environmental justice (EJ) and equity, in addition to establishing new goals for reduction of greenhouse gases in North Carolina and prioritizing EJ activities. Method: The purpose of this manuscript is to support implementation of clean transportation policies in North Carolina. It summarizes the current evidence on health and climate impacts of TRAP and documents the potential health benefits of implementing the clean transportation policies, especially if applied equitably to benefit communities with the greatest need. Results: There is a strong body of evidence demonstrating the deleterious impacts of TRAP exposure on many health outcomes. Throughout the United States, including in North Carolina, TRAP exposure disproportionately impacts communities of color and low income communities. Conclusions: Based on the strong public health evidence that TRAP exposure causes diseases and mortality and contributes to health disparities as well as the projected reductions in TRAP burden, particularly in near-road communities, we recommend implementation of clean transportation policies with an emphasis on equity.

Indexed as

clean transportation policieshealth equitytraffic-related air pollution

Identifiers

PMID41245596
PMCPMC12618819

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.