Evidence map›Paper›PMID 41298494›Full record

ArticleNature communications2025

Political development predicts reduced human cost of flooding.

Paola Vesco, Nina von Uexkull, Jonas Vestby, Halvard Buhaug

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Paola Vesco *Peace Research Institute Oslo, Oslo, Norway. paoves@prio.org.ORCID http://orcid.org/0000-0002-0368-0633
Nina von Uexkull *Peace Research Institute Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0001-9492-1596
Jonas VestbyPeace Research Institute Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0002-3054-977X
Halvard Buhaug *Peace Research Institute Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0002-6432-5985

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101055133
6 · The paper itself

Abstract

Societal impacts from extreme climate and weather events depend not only on hazard magnitude but also on the vulnerability of the affected population. Existing research suggests that adverse socioeconomic conditions are associated with higher baseline vulnerability to many types of risk, but comparatively little attention has been paid to political drivers of vulnerability. Focusing on floods, the most frequent climate-related hazard, this article evaluates the impact of political development on flood mortality. Findings from a Bayesian predictive analysis of global flood impacts from 2000 to 2018 suggest that democracy, institutional quality, and peace reduce the predicted human cost of flooding. The effect of a breakdown of peace on predicted flood mortality is especially pronounced. These results indicate that promoting peace, justice, and strong institutions (Sustainable Development Goal 16) can help to mitigate disaster risks and support effective climate change adaptation.

Indexed as

FloodsPoliticsBayes TheoremClimate ChangeDisastersHumansSustainable Development

Identifiers

PMID41298494
PMCPMC12657876

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.