Evidence map›Paper›PMID 40822291›Full record

ArticleThe Lancet regional health. Western Pacific2025

Quantifying localized heatwave impact on mortality: a multi-country modeling study in the Asia-Pacific region.

Junwen Tao, Zhiwei Xu, Hung Chak Ho, Hao Zheng, Xiuya Xing, Jihong Hu, Shilu Tong, Ho Kim, Mohammad Zahid Hossain, Hong Su and 2 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 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. Review
  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

12 authors.

Junwen TaoDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Zhiwei XuSchool of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia.
Hung Chak HoDepartment of Public and International Affairs, City University of Hong Kong, Hong Kong SAR, China.
Hao ZhengDepartment of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Xiuya XingAnhui Provincial Center for Disease Control and Prevention, Hefei, China.
Jihong HuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Shilu TongNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Ho KimDepartment of Public Health Sciences, Graduate School of Public Health and Institute for Sustainable Development, Seoul National University, South Korea.
Mohammad Zahid HossainInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Hong SuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Cunrui HuangVanke School of Public Health, Tsinghua University, Beijing, China.
Jian ChengDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heatwave is a global health threat. However, existing heatwave definitions often rely on fixed temperature thresholds without incorporating region-specific health outcomes or population acclimatization, limiting their applicability across diverse climatic and demographic contexts. We aimed to assess the impact of localized heatwave on mortality based on a proposed framework of health-based heatwave definition. Methods: Based on daily data on death and weather from 25 cities in Australia, China, South Korea, and Thailand, we proposed a health-based excess heat factor (HEHF) to define the localized heatwave. First, a tiered health risk-based (THR) approach was used to fit the heatwave-mortality association to detect the region-specific temperature threshold for heatwave. Then, the HEHF was derived from a three-day-averaged temperature exceeding the region-specific heatwave threshold multiplied by the acclimatization index, reflecting the difference between recent (past three-day) and preceding (past thirty-day) average temperatures. Finally, the mortality burden attributable to heatwaves was estimated to compare the performance of distinct heatwave definitions including the HEHF, percentile-based definition, and country-specific official definition. Findings: A total of 2,255,634 deaths from four countries were analyzed. Heatwave of all definitions was associated with an increased mortality risk in four countries, with a higher risk estimated by HEHF. The HEHF not only detected a health-based, localized, and time-varying temperature threshold for the heatwave but also captured a continuous pattern of mortality risk associated with changes in heatwave intensity. Compared with percentile-based and country-specific official definitions, using the HEHF also yielded a larger proportion of deaths attributable to heatwaves, accounting for 8.68% (95% CI: 7.19%, 10.50%) in China, 4.50% (95% CI: 3.33%, 5.58%) in Thailand, 2.99% (95% CI: 1.54%, 4.33%) in Australia, and 1.98% (95% CI: 1.24%, 2.71%) in South Korea. The subtropical zone exhibited a higher attributable fraction than temperate and tropical zones. Interpretation: This multi-country study has developed a generalizable and health-based framework for defining the localized heatwave, assisting in assessing and comparing health impact of heatwaves across regions and climates. Funding: National Natural Science Foundation of China.

Indexed as

Climate changeHeatwaveMortality burden

Identifiers

PMID40822291
PMCPMC12351342

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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.