Evidence map›Paper›PMID 36118958›Full record

ArticleEnvironmental science & technology letters2022

National and Intraurban Air Pollution Exposure Disparity Estimates in the United States: Impact of Data-Aggregation Spatial Scale.

Lara P Clark, Maria H Harris, Joshua S Apte, Julian D Marshall

Abstract read
In one paragraph

Article in Environmental science & technology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Neighborhood-Scale OACS ES&T air · 2026
    Article
  3. Article
  4. PMScience advances · 2026
    Article
  5. Review
  6. Hourly PMACS ES&T air · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Eliminating air pollution disparities requires more than emission reduction.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Urban and socioeconomic disparities in PMEnvironmental research letters : ERL [Web site] · 2025
    Article
  14. Intercomparison of Modeled Urban-Scale Vehicle NOEnvironmental science & technology · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. PMScience advances · 2024
    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.

Lara P ClarkDepartment of Civil and Environmental Engineering, University of Washington, Seattle, Washington 98195, United States.ORCID https://orcid.org/0000-0001-6940-5442
Maria H HarrisEnvironmental Defense Fund, New York, New York 10010, United States.
Joshua S ApteDepartment of Civil and Environmental Engineering, University of California Berkeley, Berkeley, California 94720, United States.ORCID https://orcid.org/0000-0002-2796-3478
Julian D MarshallDepartment of Civil and Environmental Engineering, University of Washington, Seattle, Washington 98195, United States.ORCID https://orcid.org/0000-0003-4087-1209

Funding

EPA R835873
6 · The paper itself

Abstract

Air pollution exposure disparities by race/ethnicity and socioeconomic status have been analyzed using data aggregated at various spatial scales. Our research question is this: To what extent does the spatial scale of data aggregation impact the estimated exposure disparities? We compared disparities calculated using data spatially aggregated at five administrative scales (state, county, census tract, census block group, census block) in the contiguous United States in 2010. Specifically, for each of the five spatial scales, we calculated national and intraurban disparities in exposure to fine particles (PM

Identifiers

PMID36118958
PMCPMC9476666

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.