Evidence map›Paper›PMID 42268978›Full record

ArticleScience advances2026

PM

Bujin Bekbulat, Arushi Sharma, Joshua S Apte, Robert Bullard, Libby H Koolik, Esther Min, Rachel Morello-Frosch, Manuel Pastor, Regan Patterson, Allen L Robinson and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 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

14 authors.

Bujin BekbulatDepartment of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0003-1918-8464
Arushi SharmaDepartment of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA.
Joshua S ApteDepartment of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0002-2796-3478
Robert BullardBarbara Jordan-Mickey Leland School of Public Affairs, Texas Southern University, Houston, TX 77004, USA.
Libby H KoolikDepartment of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0001-8339-927X
Esther MinFront & Centered, Seattle, WA 98121, USA.
Rachel Morello-FroschSchool of Public Health and Department of Environmental Science, Policy and Management, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0003-1153-7287
Manuel PastorEquity Research Institute, University of Southern California, Los Angeles, CA 90015, USA.ORCID 0000-0002-4638-3778
Regan PattersonDepartment of Civil and Environmental Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0002-3282-3074
Allen L RobinsonDepartment of Mechanical Engineering, Colorado State University, Fort Collins, CO 80523, USA.ORCID 0000-0002-1819-083X
Manuel SalgadoWE ACT, Washington, DC 20001, USA.ORCID 0000-0001-8326-747X
Alper UnalDepartment of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-5870-5789
Nicolas WedekindEarthjustice, Seattle, WA 98104, USA.
Julian D MarshallDepartment of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0003-4087-1209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On average in the United States (US), low-income communities and communities of color face disproportionate burdens of air pollution and associated health impacts. Much of the effort to reduce these disparities will need to occur at the state level, through the targeting of specific emission sources and exposures. We present the first analysis of exposure disparities in the US that systematically investigates temporal trends, disaggregated by economic sector and state. Our approach combines a recently released time-series (2002 to 2019) emission inventory (EQUATES) with a computationally efficient air pollution model (InMAP Source-Receptor Matrix) to predict annual average exposure to ambient PM

Indexed as

Air PollutantsAir PollutionParticulate MatterEnvironmental MonitoringHumansUnited StatesAir PollutantsParticulate Matter

Identifiers

PMID42268978
PMCPMC13251869

What Socratic holds

Textmetadata
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 Socratic graph.