Evidence map›Paper›PMID 40233281›Full record

ArticleEnvironmental health perspectives2025

The Imperative for Hazard- and Place-Specific Assessment of Heat Vulnerability.

Joseph Karanja, Jennifer Vanos, Matei Georgescu, Amy E Frazier, David Hondula

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Article in Environmental health perspectives, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Joseph KaranjaSchool of Geographical Sciences and Urban Planning, Arizona State University, Tempe, Arizona, USA.ORCID 0000-0001-8450-5070
Jennifer VanosUrban Climate Research Center, Arizona State University, Tempe, Arizona, USA.
Matei GeorgescuSchool of Geographical Sciences and Urban Planning, Arizona State University, Tempe, Arizona, USA.
Amy E FrazierDepartment of Geography, University of California, Santa Barbara, Santa Barbara, California, USA.
David HondulaSchool of Geographical Sciences and Urban Planning, Arizona State University, Tempe, Arizona, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRepresenting vulnerability is crucial for informing targeted interventions, but existing vulnerability conceptualizations are too general for heat hazard-specific and place-specific relevance. Examining the key decision criteria centering around data choices, selection of input variables, methodological approaches, and theoretical conceptualizations are integral to progressing toward hazard-specific and place-specific vulnerability assessment. Moreover, decisions touching on Geographic Information Science (GIScience)-related issues (e.g., the implications of scale choices and accounting for contextual effects) impact how people who are at risk for adverse heat-health outcomes are represented. In turn, these representations influence how critical interventions are implemented. Given the prospects of increases in adverse heat-health outcomes associated with planetary and urban warming, it is crucial to examine how the representation of heat vulnerability can be enhanced for tailored interventions.

objectiveThis commentary examines the assumptions underpinning the decision criteria for heat vulnerability analysis and identifies associated implications while recommending priority future research. Reorienting general hazard conceptualizations to reflect contextual, heat-specific nuances is crucial for attenuating heat-related health outcomes. DISCUSSION: Heat vulnerability studies lack consistent decision criteria, which undermines progress toward hazard-specific and place-specific vulnerability relevance. Some of these limitations are attributable to the persistent application of general, all-hazards conceptualizations to hazard-specific studies. Moreover, inconsistent decision criteria undermine the replicability and validity of studies and propagate uncertainty while compromising progress toward standardized, consistent, scalable approaches and testing of existing assumptions that could strengthen heat vulnerability theory. Given GIScience technologies are central to representing spatial patterns of vulnerability, the epistemological foundation of vulnerability theory can be strengthened when GIScience concepts (e.g., the operational scale of social-environmental determinants of health and assumptions underpinning spatial relationships) are considered during vulnerability representation.

conclusionExamining decision criteria for heat vulnerability assessment is crucial to identifying optimal sets of heat-specific and place-specific risk indicators, thereby enhancing the representation of vulnerability. https://doi.org/10.1289/EHP14801.

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Hot TemperatureHumansRisk Assessment

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PMID40233281
PMCPMC12110909

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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.