Evidence map›Paper›PMID 34765851›Full record

ArticleGeoHealth2021

Estimating Intra-Urban Inequities in PM

Maria D Castillo, Patrick L Kinney, Veronica Southerland, C Anneta Arno, Kelly Crawford, Aaron van Donkelaar, Melanie Hammer, Randall V Martin, Susan C Anenberg

Open access · goldAbstract read
In one paragraph

Article in GeoHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% of its field
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Neighborhood-Scale OACS ES&T air · 2026
    Article
  3. Validation and Correction of PMACS environmental Au · 2026
    Article
  4. Article
  5. Urban and socioeconomic disparities in PMEnvironmental research letters : ERL [Web site] · 2025
    Article
  6. Article
  7. Article
  8. Intercomparison of Modeled Urban-Scale Vehicle NOEnvironmental science & technology · 2025
    Article
  9. Review
  10. PMScience advances · 2024
    Article
  11. How do taxi drivers expose to fine particulate matter (PMInternational journal of health geographics · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. All-Cause NOEnvironmental science & technology letters · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 6 institutions in 2 countries.

Maria D CastilloGeorge Washington University Milken Institute School of Public Health Washington DC USA.ORCID https://orcid.org/0000-0002-5848-3637
Patrick L KinneyBoston University School of Public Health Boston MA USA.
Veronica SoutherlandGeorge Washington University Milken Institute School of Public Health Washington DC USA.
C Anneta ArnoDistrict of Columbia Department of Health Office of Health Equity Washington DC USA.
Kelly CrawfordDistrict of Columbia Department of Energy & Environment Air Quality Division Washington DC USA.ORCID https://orcid.org/0000-0001-6129-8101
Aaron van DonkelaarDepartment of Physics and Atmospheric Science Dalhousie University Halifax NS Canada.
Melanie HammerCenter for Aerosol Science and Engineering Washington University in St. Louis St. Louis MO USA.ORCID https://orcid.org/0000-0001-8443-7979
Randall V MartinCenter for Aerosol Science and Engineering Washington University in St. Louis St. Louis MO USA.ORCID https://orcid.org/0000-0003-2632-8402
Susan C AnenbergGeorge Washington University Milken Institute School of Public Health Washington DC USA.ORCID https://orcid.org/0000-0002-9668-603X
Milken Institute · USDalhousie University · CABoston University · USDepartment of Energy and Environment · USDistrict of Columbia Department of Health · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution levels are uneven within cities, contributing to persistent health disparities between neighborhoods and population sub-groups. Highly spatially resolved information on pollution levels and disease rates is necessary to characterize inequities in air pollution exposure and related health risks. We leverage recent advances in deriving surface pollution levels from satellite remote sensing and granular data in disease rates for one city, Washington, DC, to assess intra-urban heterogeneity in fine particulate matter (PM

Indexed as

environmental justicefine particulate matterhealth inequitiesintra‐urban baseline disease ratesintra‐urban health risksPM2.5‐attributable health impacts

Identifiers

PMID34765851
PMCPMC8574205
OpenAlexW3156141348

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.