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

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish
Article numbere2023GH000864
JournalGeoHealth
Volume7
Issue number10
DOIs
StatePublished - Oct 2023

Bibliographical note

Publisher Copyright:
© 2023 Oak Ridge National Laboratory and The Authors. GeoHealth published by Wiley Periodicals LLC on behalf of American Geophysical Union.

Funding

We thank Dakotah Maguire from Oak Ridge National Laboratory for helping us access ACS data. This work is sponsored by: (a) the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number UL1‐TR001409, KL2‐TR001432 and TL1‐TR001431. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health and (b) the US Department of Veterans Affairs. This research used the Oak Ridge Leadership Computing Facility resources, which is a DOE Office of Science User Facility. This manuscript has been authored by UT‐Battelle, LLC, under contract DE‐AC05‐00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid‐up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ). We thank Dakotah Maguire from Oak Ridge National Laboratory for helping us access ACS data. This work is sponsored by: (a) the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number UL1-TR001409, KL2-TR001432 and TL1-TR001431. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health and (b) the US Department of Veterans Affairs. This research used the Oak Ridge Leadership Computing Facility resources, which is a DOE Office of Science User Facility. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

FundersFunder number
DOE Public Access Plan
National Institutes of HealthDE‐AC05‐00OR22725, KL2‐TR001432, TL1‐TR001431, UL1‐TR001409
U.S. Department of Energy
U.S. Department of Veterans Affairs
National Center for Advancing Translational Sciences
Office of ScienceDE-AC05-00OR22725
Oak Ridge National Laboratory

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