Evidence map›Paper›PMID 37780099›Full record

ArticleGeoHealth2023

Exploring the Spatial Patterning of Sociodemographic Disparities in Extreme Heat Exposure at Multiple Scales Across the Conterminous United States.

Deeksha Rastogi, Jaekedah Christian, Joe Tuccillo, Blair Christian, Anuj J Kapadia, Heidi A Hanson

Open access · goldAbstract read
In one paragraph

Article in GeoHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Deeksha RastogiComputational Sciences and Engineering Division Oak Ridge National Laboratory Oak Ridge TN USA.ORCID https://orcid.org/0000-0002-0462-4027
Jaekedah ChristianDepartment of Biological Sciences Tennessee State University Nashville TN USA.
Joe TuccilloGeospatial Science and Human Security Division Oak Ridge National Laboratory Oak Ridge TN USA.ORCID https://orcid.org/0000-0002-5930-0943
Blair ChristianComputational Sciences and Engineering Division Oak Ridge National Laboratory Oak Ridge TN USA.
Anuj J KapadiaComputational Sciences and Engineering Division Oak Ridge National Laboratory Oak Ridge TN USA.ORCID https://orcid.org/0000-0003-2755-4495
Heidi A HansonComputational Sciences and Engineering Division Oak Ridge National Laboratory Oak Ridge TN USA.ORCID https://orcid.org/0000-0003-0056-196X
Oak Ridge National Laboratory · USTennessee State University · US

Funding

Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
Institutional Career Development CoreKL2TR001432 · NCATS · GEORGETOWN UNIVERSITY · PI UMANS, JASON G · 2015 to 2024
$7.5M
Translational Biomedical Science Training GrantTL1TR001431 · NCATS · GEORGETOWN UNIVERSITY · PI LEE, DEXTER L, SANDBERG, KATHRYN L · 2015 to 2024
$4.8M
NCATS NIH HHS KL2 TR001432NCATS NIH HHS TL1 TR001431NCATS NIH HHS UL1 TR001409
6 · The paper itself

Abstract

Climate change has led to an increase in heat-related morbidity and mortality. The impact of heat on health is unequally distributed amongst different socioeconomic and demographic groups. We use high-resolution daily air temperature-based heat wave intensity (HWI) and neighborhood-scale sociodemographic information from the conterminous United States to evaluate the spatial patterning of extreme heat exposure disparities. Assuming differences in spatial patterns at national, regional, and local scales; we assess disparities in heat exposure across race, housing characteristics, and poverty level. Our findings indicate small differences in HWI based on these factors at the national level, with the magnitude and direction of the differences varying by region. The starkest differences are present over the Northeast and Midwest, where primarily Black neighborhoods are exposed to higher HWI than predominantly White areas. At the local level, we find the largest difference by socioeconomic status. We also find that residents of nontraditional housing are more vulnerable to heat exposure. Previous studies have either evaluated such disparities for specific cities and/or used a satellite-based land surface temperature, which, although correlated with air temperature, does not provide the true measure of heat exposure. This study is the first of its kind to incorporate high-resolution gridded air temperature-based heat exposure in the evaluation of sociodemographic disparities at a national scale. The analysis suggests the unequal distribution of heat wave intensities across communities-with higher heat exposures characterizing areas with high proportions of minorities, low socioeconomic status, and homes in need of retrofitting to combat climate change.

Identifiers

PMID37780099
PMCPMC10541172
OpenAlexW4387168536

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.