Evidence map›Paper›PMID 39479408›Full record

ArticleAtmospheric environment (Oxford, England : 1994)2024

Exposure to particulate matter and ozone, locations of regulatory monitors, and sociodemographic disparities in the city of Rio de Janeiro: Based on local air pollution estimates generated from machine learning models

Honghyok Kim, Ji-Young Son, Washington Junger, Michelle L Bell

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Atmospheric environment (Oxford, England : 1994), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Disparities in fine particulate matter (PMEnvironmental research, health : ERH · 2026
    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.

Honghyok KimDivision of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago, Chicago, IL, United States.
Ji-Young SonSchool of the Environment, Yale University, New Haven, CT, United States.
Washington JungerInstitute of Social Medicine, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Michelle L BellSchool of the Environment, Yale University, New Haven, CT, United States.

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Environmental Health Disparities in an Older PopulationR01MD012769 · NIMHD · YALE UNIVERSITY · PI BELL, MICHELLE L · 2017 to 2021
$3.9M
NIEHS NIH HHS P30 ES027792NIMHD NIH HHS R01 MD012769Wellcome Trust
6 · The paper itself

Abstract

South America is underrepresented in research on air pollution exposure disparities by sociodemographic factors, although such disparities have been observed in other parts of the world. We investigated whether exposure to and information about air pollution differs by sociodemographic factors in the city of Rio de Janeiro, the second most populous city in Brazil with dense urban areas, for 2012-2017. We developed machine learning-based models to estimate daily levels of O

Indexed as

Air pollution disparityAir pollution modelingClimate changeEnvironmental justiceInformation disparitySocioeconomic inequality

Identifiers

PMID39479408
PMCPMC11523490

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.