Evidence map›Paper›PMID 39412270›Full record

ArticleEnvironmental science & technology2024

Delineating Urbanicity and Rurality: Impact on Environmental Exposure Assessment.

Yimeng Song, Nicole C Deziel, Michelle L Bell

Abstract read
In one paragraph

Article in Environmental science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Associations Between Perceived Tap Water Safety and Dietary Outcomes Among US Adults.Journal of the Academy of Nutrition and Dietetics · 2026
    Article
  3. Article
  4. 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

3 authors.

Yimeng SongSchool of the Environment, Yale University, New Haven, Connecticut 06511, United States.ORCID 0000-0001-9558-1220
Nicole C DezielSchool of Public Health, Yale University, New Haven, Connecticut 06511, United States.ORCID 0000-0002-5751-9191
Michelle L BellSchool of the Environment, Yale University, New Haven, Connecticut 06511, United States.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Containerizing tasks to ensure robust AI/ML data curation pipelines to estimate environmental disparities in the rural southR01MD016054 · NIMHD · YALE UNIVERSITY · PI Michelle L Bell, Nicole Deziel · 2022 to 2026
$4.3M
NCATS NIH HHS UL1 TR001863NIMHD NIH HHS R01 MD016054
6 · The paper itself

Abstract

Environmental exposures and their health impacts can vary substantially between urban and rural areas. However, different methods for classifying these areas could lead to inconsistencies in environmental exposure and health studies, which are often overlooked. We constructed different urban/rural classification systems based on multiple population-based (e.g., total population, population density, and commuting) and built-environment-based (e.g., nighttime light intensity, building density, road density, distance to urban centers, point of interest density, and urban area coverage) indicators and various classification schemes. These classification systems were applied to Virginia and West Virginia, United States. We compared differences in urban/rural spatial patterns, demographic compositions, and exposures of particulate matter (PM

Indexed as

Environmental ExposureCitiesHumansParticulate MatterRural PopulationUrban PopulationWest VirginiaParticulate Matterenvironmental exposureurban−rural classificationurban−rural disparitiesurban/rural metrics

Identifiers

PMID39412270
PMCPMC11627196

What OpenQuestion holds

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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.