Evidence map›Paper›PMID 42679837›Full record

Observational studyThe Lancet. Planetary health2026

Direct and spillover hospitalisation patterns during climate hazards across regions of different health-system resilience levels in China: a nationwide retrospective analysis.

Teng Wang, Hanxu Shi, Yujie Shi, Peng Wang, Weiwen Li, Jin Lv, Wenliang Yao, Zhisheng Liang, Mintao Su, Siwen Li and 14 more

Abstract readObservational Study
In one paragraph

Observational study in The Lancet. Planetary health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

24 authors.

Teng WangDepartment of Global Health, Peking University School of Public Health, Beijing, China; Department of Architecture and Civil Engineering, School of Engineering, City University of Hong Kong, Hong Kong, China; Guangdong Provincial Key Laboratory of Durability for Marine Civil Engineering, Shenzhen University, Shenzhen, Guangdong, China.
Hanxu ShiDepartment of Global Health, Peking University School of Public Health, Beijing, China.
Yujie ShiDepartment of Global Health, Peking University School of Public Health, Beijing, China.
Peng WangGuangdong Provincial Key Laboratory of Durability for Marine Civil Engineering, Shenzhen University, Shenzhen, Guangdong, China.
Weiwen LiGuangdong Provincial Key Laboratory of Durability for Marine Civil Engineering, Shenzhen University, Shenzhen, Guangdong, China.
Jin LvDepartment of Radiotherapy, The PLA Rocket Force Characteristic Medical Center, Beijing, China.
Wenliang YaoDepartment of Nuclear Medicine, Zibo Central Hospital, Zibo, Shandong, China.
Zhisheng LiangDepartment of Global Health, Peking University School of Public Health, Beijing, China.
Mintao SuDepartment of Global Health, Peking University School of Public Health, Beijing, China.
Siwen LiDepartment of Global Health, Peking University School of Public Health, Beijing, China.
Bin WangInstitute of Reproductive and Child Health, Peking University School of Public Health, Beijing, China.
Murray RamanathanBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Shyam BiswalSchool of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Steve Hung-Lam YimCentre for Climate Change and Environmental Health (CCEH), Nanyang Technological University, Singapore; Asian School of the Environment, Nanyang Technological University, Singapore; Lee Kong China School of Medicine, Nanyang Technological University, Singapore.
Ming XuDepartment of Global Health, Peking University School of Public Health, Beijing, China.
Wenjia CaiMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.
Wei HuangInstitute of Environmental and Health, Peking University School of Public Health, Beijing, China.
Tiantian LiNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Cunrui HuangVanke School of Public Health, Tsinghua University, Beijing, China.
Haidong KanSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China.
Minghui RenDepartment of Global Health, Peking University School of Public Health, Beijing, China; China Center for Health Development Studies, Peking University, Beijing, China.
Gordon G LiuInstitute for Global Health and Development, Peking University, Beijing, China. Electronic address: gordonliu@nsd.pku.edu.cn.
Chung Yee KwokDepartment of Architecture and Civil Engineering, School of Engineering, City University of Hong Kong, Hong Kong, China. Electronic address: fionkwok@cityu.edu.hk.
Zhenyu ZhangDepartment of Global Health, Peking University School of Public Health, Beijing, China; Institute for Global Health and Development, Peking University, Beijing, China; Institute of Carbon Neutrality, Peking University, Beijing, China. Electronic address: zzy@pku.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth-system resilience serves as a key contributor in mitigating adverse health impacts during climate hazards. However, quantitative insights into resilience-associated health-care utilisation patterns and targeted adaptation policies remain scarce. We aimed to capture the spatiotemporal health impacts in disaster-exposed counties and their neighbouring counties in China during storms, floods, tropical cyclones, and blizzards or winter storms; understand the association between health-system resilience metrics and hazard-attributable hospitalisations; and develop evidence-based adaptation policies towards climate extremes.

methodsIn this retrospective, observational analysis of county-level aggregated hospitalisation data, we used a propensity score matching-difference-in-differences framework to assess the spatiotemporal changes of nine types of disease-specific hospitalisations in both disaster-exposed and neighbouring regions during storms, floods, tropical cyclones, and blizzards in China. We quantified the relative importance and health gains of health-system metrics during such hazards through random forest approach with interpretable partial dependence plots to derive evidence-based adaptation recommendations.

findingsWe included hospitalisation data from Jan 1, 2016 to Dec 31, 2023. In this period, 3241 county-hazard event combinations and 41 747 482 hospitalisations were recorded across 955 Chinese counties. The disaster-exposed regions experienced an initial decline in hospitalisation rates, followed by admission surges after disasters. For example, infectious disease admissions decreased by 11·92% (95% CI -10·53 to -13·31) during the flood-active period but increased by 7·68% (6·46-8·91) after 1-2 weeks of floods. Neighbouring zones were also affected through spillover effects, with infectious disease admissions increasing by 3·18% (1·76-4·61) after 1-2 weeks of the floods. Cardiovascular disease, injuries, infectious, respiratory, and mental disorders were more sensitive across all regions. Particularly for disaster-exposed counties, cardiovascular hospitalisations increased by 14·31% (7·34-21·29) during the tropical cyclone-active period. Notably, compared with low-resilience counties, high-resilience counties were associated with 19·48-30·03% smaller hazard-related relative changes in hospitalisation rates during the hazard-active period and 27·07-31·08% smaller hazard-related relative changes in hospitalisation rates in post-hazard periods. For instance, during the storm-active period, the increase in respiratory hospitalisations was 7·21% (0·67-13·75) in high-resilience counties versus 12·13% (5·20-19·05) in low-resilience counties. Health workforce (relative importance 14·58% during the hazard-active period and 13·80% during the post-hazard period) and service delivery (14·10% during the hazard-active period and 14·17% during the post-hazard period) were identified as key contributors of health-system resilience. Empirical synergistic effects were observed when combining interventions during the post-hazard period, with the combined effect of service delivery (individual contribution 8%) and workforce (individual contribution 4%) exceeding the sum of their individual contributions (16% reduction in cumulative excess admissions) by 33%.

interpretationClimate hazards are associated with substantial changes in hospitalisation rates in both disaster-exposed and neighbouring regions. Health-system resilience is essential in addressing disaster-health challenges. Targeted adaptation interventions should be context-appropriate and threshold-aware, thereby maximising the public health benefits relative to resilience-oriented investments in health systems.

fundingGates Foundation and the National Natural Science Foundation of China.

Indexed as

Climate ChangeDisastersHospitalizationChinaCyclonic StormsFloodsHumansRetrospective Studies

Identifiers

PMID42679837
PMCPMC13627082

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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.