Evidence map›Paper›PMID 36731185›Full record

ArticleEnvironment international2023

Characterizing vulnerabilities to climate change across the United States.

P Grace Tee Lewis, Weihsueh A Chiu, Ellu Nasser, Jeremy Proville, Aurora Barone, Cloelle Danforth, Bumsik Kim, Jolanda Prozzi, Elena Craft

Abstract read
In one paragraph

Article in Environment international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Observational
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  6. Impact of Climate Change on Rheumatology Care: A Global Perspective.Rheumatic diseases clinics of North America · 2026
    Review
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  12. Review
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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

9 authors.

P Grace Tee LewisEnvironmental Defense Fund, Austin, TX, USA. Electronic address: glewis@edf.org.
Weihsueh A ChiuDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX, USA. Electronic address: wchiu@tamu.edu.
Ellu NasserEnvironmental Defense Fund, Austin, TX, USA. Electronic address: enasser@edf.org.
Jeremy ProvilleEnvironmental Defense Fund, Austin, TX, USA. Electronic address: jproville@edf.org.
Aurora BaroneEnvironmental Defense Fund, Austin, TX, USA. Electronic address: abarone@edf.org.
Cloelle DanforthEnvironmental Defense Fund, Austin, TX, USA. Electronic address: cdanforth@edf.org.
Bumsik KimTexas Transportation Institute, Texas A&M University, College Station, TX, USA. Electronic address: B-Kim@tti.tamu.edu.
Jolanda ProzziTexas Transportation Institute, Texas A&M University, College Station, TX, USA. Electronic address: j-prozzi@tamu.edu.
Elena CraftEnvironmental Defense Fund, Austin, TX, USA. Electronic address: ecraft@edf.org.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Texas A&M Center for Environmental Health Research (TiCER)P30ES029067 · NIEHS · TEXAS A&M UNIVERSITY · PI Galen Newman · 2019 to 2026
$13.0M
NIEHS NIH HHS P30 ES029067NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

Climate change will cause a range of related risks, including increases in infectious and chronic disease, intensified social and economic stresses, and more frequent extreme weather events. Vulnerable groups will be disproportionately affected due to greater exposure to climate risks and lower ability to prepare, adapt, and recover from their effects. Better understanding of the intersection of vulnerability and climate change risks is required to identify the most important drivers of future climate risks and effectively build resilience and deploy targeted adaptation efforts. Incorporating community stakeholder input, we identified and integrated available public health, social, economic, environmental, and climate data in the United States (U.S.), comprising 184 indicators, to develop a Climate Vulnerability Index (CVI) composed of four baseline vulnerabilities (health, social/economic, infrastructure, and environment) and three climate change risks (health, social/economic, extreme events). We find that the vulnerability to and risks from climate change are highly heterogeneous across the U.S. at the census tract scale, and geospatially cluster into complementary areas with similar climate risks but differing baseline vulnerabilities. Our results therefore demonstrate that not only are climate change risks both broadly and variably distributed across the U.S., but also that existing disparities are often further exacerbated by climate change. The CVI thus lays a data-driven, scientific foundation for future research on the intersection of climate change risks with health and other inequalities, while also identifying health impacts of climate change as the greatest research gap. Moreover, given U.S. government initiatives surrounding climate and equity, the CVI can be instrumental in empowering communities and policymakers to better prioritize resources and target interventions, providing a template for addressing local-scale climate and environmental justice globally.

Indexed as

Climate ChangePublic HealthAcclimatizationAdaptation, PhysiologicalRiskUnited StatesClimate change and healthClimate change risksClimate change vulnerabilityClimate justiceEnvironmental justiceResilience

Identifiers

PMID36731185
PMCPMC10214772

What OpenQuestion holds

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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.