Evidence map›Paper›PMID 42255323›Full record

ArticleGeoHealth2026

Pediatric Risk Mapping From Co-Exposure to Extreme Temperatures and Air Pollutants.

Jagadeesh Puvvula, Jonathan J Szeto, Jabeen Taiba, Jennifer Ko, Jesse E Bell, Wei-Ting Hwang, Rebecca A Simmons, Marilyn Howarth, Sameed Ahmed M Khatana, Kyle Jackson and 1 more

Abstract read
In one paragraph

Article in GeoHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Jagadeesh PuvvulaDepartment of Biostatistics, Epidemiology and Informatics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA.ORCID https://orcid.org/0000-0002-4927-3507
Jonathan J SzetoPerelman School of Medicine University of Pennsylvania Philadelphia PA USA.ORCID https://orcid.org/0009-0009-4567-2453
Jabeen TaibaDepartment of Environmental, Agricultural, and Occupational Health College of Public Health University of Nebraska Medical Center Omaha NE USA.ORCID https://orcid.org/0009-0008-8774-3996
Jennifer KoDepartment of Biostatistics, Epidemiology and Informatics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA.
Jesse E BellDepartment of Environmental, Agricultural, and Occupational Health College of Public Health University of Nebraska Medical Center Omaha NE USA.ORCID https://orcid.org/0000-0001-5011-9614
Wei-Ting HwangDepartment of Biostatistics, Epidemiology and Informatics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA.ORCID https://orcid.org/0000-0003-2829-2167
Rebecca A SimmonsCenter for Research on Reproduction and Women's Health University of Pennsylvania Philadelphia PA USA.ORCID https://orcid.org/0000-0002-2901-8904
Marilyn HowarthPerelman School of Medicine University of Pennsylvania Philadelphia PA USA.
Sameed Ahmed M KhatanaThe Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia PA USA.
Kyle JacksonDivision of Transplant Surgery Hospital of the University of Pennsylvania Philadelphia PA USA.ORCID https://orcid.org/0000-0002-8135-5377
Aimin ChenDepartment of Biostatistics, Epidemiology and Informatics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA.ORCID https://orcid.org/0000-0001-9713-6438

Funding

Philadelphia Regional Center for Children’s Environmental HealthP2CES033428 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2022 to 2026
$5.4M
NIEHS NIH HHS P2C ES033428
6 · The paper itself

Abstract

Exposure to extreme temperatures and fine particulate matter is hazardous to human health, especially among children. With growing evidence on the impact of these environmental hazards on child health-including increased risks of respiratory illnesses, heat-related illnesses, and developmental challenges-there is a substantial need to identify high-risk areas for potential adverse pediatric health outcomes. In this study, we developed pediatric vulnerability indices at the census tract scale across the contiguous United States (CONUS) using five dimensionality reduction methods, including unsupervised machine learning and deep learning approaches. We integrated these indices with data on extreme temperature (2012-2024), PM

Indexed as

air pollutionchildrenextreme temperaturerisk mapping

Identifiers

PMID42255323
PMCPMC13239795

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.