Evidence map›Paper›PMID 42536312›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2026

Developing a Novel Heat Vulnerability Index for Maricopa County, Arizona.

Kevin Y Chen, Sarah L Jackson, Ethan A Forbes, Rita V Burke

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 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

4 authors.

Kevin Y ChenHamilton High School, Chandler, USA.ORCID http://orcid.org/0009-0001-6262-3735
Sarah L JacksonDepartment of Criminology, Criminal Justice, & Disaster Science, Western Carolina University, Cullowhee, USA.ORCID http://orcid.org/0000-0002-9662-5069
Ethan A ForbesDepartment of Criminology, Criminal Justice, & Disaster Science, Western Carolina University, Cullowhee, USA.
Rita V BurkeDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, USA. Rita.Burke@med.usc.edu.ORCID http://orcid.org/0000-0002-5560-558X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extreme heat events increasingly threaten public health, particularly in rapidly urbanizing areas like Maricopa County, Arizona. This study addresses gaps in identifying communities most vulnerable to extreme heat and heat waves by creating a Heat Vulnerability Index (HVI) that integrates often-overlooked populations. Utilizing US census data, satellite imagery, chronic illness prevalence rates, and unhoused population data, this HVI assesses vulnerability across census tracts in Maricopa County's diverse urban-rural landscape. Principal components analysis identified nine factors influencing heat vulnerability: (1) socioeconomic disadvantage; (2) isolation; (3) elderly populations; (4) chronic illness; (5) environmental risks; (6) African American race and language barriers, (7) Native American and unemployment status; (8) lack of housing and male; and (9) mobile home residents. Model validation found that heat-related mortality rate increased with heat vulnerability. Despite statistical limitations from data resolution and timeframe, this study integrates unhoused data into vulnerability assessments, emphasizing the need for equitable approaches that include underserved communities to address extreme heat vulnerability.

Indexed as

Environmental justiceExtreme heatHeat vulnerability indexSocial vulnerabilityUnhoused

Identifiers

What OpenQuestion holds

Textmetadata
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.