Evidence map›Paper›PMID 39110789›Full record

ArticleScience advances2024

Examining air pollution exposure dynamics in disadvantaged communities through high-resolution mapping.

Jason G Su, Shadi Aslebagh, Vy Vuong, Eahsan Shahriary, Emma Yakutis, Emma Sage, Rebecca Haile, John Balmes, Michael Jerrett, Meredith Barrett

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Beyond redlining: Gentrification, displacement, disadvantages, and exclusivity predict urban environmental and health inequities.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. 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

10 authors.

Jason G SuSchool of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0002-5128-0466
Shadi AslebaghSchool of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA.
Vy VuongPropeller Health, 505 Montgomery St. #2300, San Francisco, CA 94111, USA.ORCID 0000-0001-8847-5905
Eahsan ShahriarySchool of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA.
Emma YakutisSchool of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA.
Emma SageSchool of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0009-0006-5185-1667
Rebecca HaileSchool of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA.
John BalmesSchool of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-2246-7002
Michael JerrettFielding School of Public Health, University of California, Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0002-4121-0587
Meredith BarrettPropeller Health, 505 Montgomery St. #2300, San Francisco, CA 94111, USA.ORCID 0000-0002-2559-199X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study bridges gaps in air pollution research by examining exposure dynamics in disadvantaged communities. Using cutting-edge machine learning and massive data processing, we produced high-resolution (100 meters) daily air pollution maps for nitrogen dioxide (NO

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureNitrogen DioxideOzoneParticulate MatterVulnerable PopulationsCaliforniaEnvironmental MonitoringHumansAir PollutantsNitrogen DioxideOzoneParticulate Matter

Identifiers

PMID39110789
PMCPMC11305374

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.