Evidence map›Paper›PMID 41714750›Full record

ArticleScientific reports2026

Global historical population exposure to heating and cooling degree days.

Yue Gong, Hui Tao, Zehua Fang, Yabin Wei

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yue GongState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China.
Hui TaoState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China. taohui@ms.xjb.ac.cn.
Zehua FangState Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China.
Yabin WeiInstitute of Desert Meteorology, China Meteorological Administration, Urumqi, 830002, China.

Funding

the Innovation and Development Project of China Meteorological Administration CXFZ2024J037
6 · The paper itself

Abstract

The interplay between population growth and climate warming is reshaping human exposure to temperature extremes worldwide, yet how this composite effect varies across regions and income groups remains insufficiently quantified. Here, we examine whether global climate warming, in combination with population redistribution, is shifting the balance between heating and cooling demand, and how this transition varies across countries with different socioeconomic conditions. By integrating gridded population data with long-term changes in cooling and heating degree days, we assess population exposure to heat and cold at global and regional scales. Combining population distribution with degree-days changes, we find that the global balance of temperature-related demand is shifting from heating toward relatively greater cooling demand. Notably, low- and lower-middle-income countries, which have relatively limited resilience to heat stress, face greater cooling demand challenges and account for 63.65% of global cooling-related population exposure, which has increased by 31.24% over the past four decades. In contrast, high and upper-middle-income countries, which are more resilient, account for 90.69% of global heating-related population exposure, growing at a rate of 22.29%. Our findings highlight pronounced inequalities in population exposure to temperature extremes, provide a global assessment of the shifting balance between heating and cooling demand, and offer insights relevant to climate adaptation and public health policy development.

Identifiers

PMID41714750
PMCPMC13018635

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.