Evidence map›Paper›PMID 40877294›Full record

ArticleNature communications2025

Inequality in human exposure to future climate extremes.

Parisa Hosseinzadehtalaei, Rafiq Hamdi, Hamid Moradkhani, Piet Termonia, Hossein Tabari

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

5 authors.

Parisa HosseinzadehtalaeiDepartment of Physics and Astronomy, Ghent University, Ghent, Belgium. parisa.hosseinzadehtalaei@ugent.be.ORCID http://orcid.org/0000-0003-1208-569X
Rafiq HamdiDepartment of Physics and Astronomy, Ghent University, Ghent, Belgium.ORCID http://orcid.org/0000-0002-4419-5757
Hamid MoradkhaniDepartment of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL, USA.ORCID http://orcid.org/0000-0002-2889-999X
Piet TermoniaDepartment of Physics and Astronomy, Ghent University, Ghent, Belgium.
Hossein TabariDepartment of Meteorological and Climate Research, Royal Meteorological Institute of Belgium, Uccle, Belgium. hossein.tabari@uantwerpen.be.ORCID http://orcid.org/0000-0003-2052-4541

Funding

European Commission (EC) 101159497Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 1255423N
6 · The paper itself

Abstract

Future climate extremes are expected to worsen existing inequalities in human exposure, yet the specific disparities across income groups are not well understood. We investigate how future floods, heatwaves, droughts, and compound hot-dry events will impact high- and low-income countries under various shared socioeconomic pathways (SSPs). We find that low-income countries are projected to experience more severe exposure to these events, primarily due to accelerated population growth rather than climate change. Exposure inequality between high- and low-income countries decreases as event severity increases, with the effects of population growth diminishing and the impact of climate change becoming more pronounced. While compound hot-dry events have a greater overall impact compared to single events, the inequality in exposure to these events is less pronounced. These findings underscore the need for targeted adaptation strategies that address both demographic drivers and the spatial-temporal dynamics of extreme events to effectively manage socioeconomic risks.

Indexed as

Climate ChangeEnvironmental ExposureDeveloping CountriesDroughtsFloodsHumansPopulation GrowthSocioeconomic Factors

Identifiers

PMID40877294
PMCPMC12394544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.