Evidence map›Paper›PMID 42494966›Full record

ArticleGeoHealth2026

Misperception of Extreme Weather Event Mortality Risk in the United States.

Mitchell Manware, Lingzhi Chu, Ying Hu, Jennifer Marlon, Anthony Leiserowitz, Kai Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeoHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Mitchell ManwareDepartment of Environmental Health Sciences Yale School of Public Health New Haven CT USA.ORCID https://orcid.org/0009-0003-6440-6106
Lingzhi ChuDepartment of Environmental Health Sciences Yale School of Public Health New Haven CT USA.
Ying HuDepartment of Environmental Health Sciences Yale School of Public Health New Haven CT USA.
Jennifer MarlonYale Program on Climate Change Communication Yale University New Haven CT USA.
Anthony LeiserowitzYale Program on Climate Change Communication Yale University New Haven CT USA.
Kai ChenDepartment of Environmental Health Sciences Yale School of Public Health New Haven CT USA.ORCID https://orcid.org/0000-0002-0164-1112

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Communicating the risks posed by extreme weather events remains a challenge for researchers and policy makers. This study evaluates the gap between public perceptions on climate risk and scientific estimates of mortality burden from climate-related extreme weather events. Results show each mortality risk perception gap follows a similar spatial pattern to the observed attributable mortality rate. The perception that "global warming is happening" was significantly associated with smaller risk perception gaps for all extreme weather events. Improving population-level understanding of climate change is critical to reducing health risks associated with extreme weather events and to motivate climate-oriented actions.

Identifiers

PMID42494966
PMCPMC13395478

What OpenQuestion holds

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LicenceCC BY-NC
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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.