Liao Shujie, Pan Wei, Wen Li, Chen Rongkai, Pan Dongyang, Wang Renjie, Hu Cheng, Duan Hongbo, Weng Hong, Tian Chenxiao, Kong Wenxuan, Ruan Jinghan, Zhang Yichuan, Ming Xi, Zhang Xianbin, Wang Xinghuan
Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
Nature. 2025 Jul 16. doi: 10.1038/s41586-025-09352-w.
Climate change has markedly increased adverse effects on human health and economic growth. However, few studies have differentiated the impacts of extreme temperatures at the city level and analysed the future implications for human health under various climate change scenarios. Here we leverage data on historical relationships among six kinds of climate-sensitive diseases (CSDs) and associated hospitalizations and temperatures across 301 cities (more than 90% of all cities) and more than 7,000 hospitals in China, and use a nonlinear distributed lag model. This study projects hospitalization risks associated with extreme temperatures through to the year 2100 and develops the hospitalization burden economic index to assess the burden under three carbon emission scenarios across cities. Five dimensions, including spatial distribution, disease categories, population age groups, future time horizons and carbon emission development pathways, have been evaluated. Historical data indicate a higher incidence of temperature-related risks among the CSDs in northwestern and southwestern China. Notably, gestation-related disease risks are associated with increased vulnerability to extreme heat in specific regions. The projections show that under current thermal conditions without adaptations, the excess hospitalizations from extreme heat will reach 0.6, 3.8 and 5.1 million by 2100 under the low-, middle- and high-emission scenarios, respectively. These findings highlight the need for targeted mitigation strategies to reduce uneven climate-related hospitalization risks and economic burdens while accounting for differences in city geography, extreme temperatures, population groups and carbon emission development pathways.
气候变化已显著增加了对人类健康和经济增长的不利影响。然而,很少有研究区分城市层面极端温度的影响,并分析各种气候变化情景下对人类健康的未来影响。在此,我们利用了中国301个城市(占所有城市的90%以上)和7000多家医院中六种气候敏感疾病(CSD)、相关住院情况与温度之间的历史关系数据,并使用了非线性分布滞后模型。本研究预测了直至2100年与极端温度相关的住院风险,并制定了住院负担经济指数,以评估各城市在三种碳排放情景下的负担。我们评估了五个维度,包括空间分布、疾病类别、人口年龄组、未来时间范围和碳排放发展路径。历史数据表明,中国西北部和西南部的气候敏感疾病中与温度相关风险的发病率较高。值得注意的是,与妊娠相关的疾病风险与特定地区极端高温下更高的脆弱性有关。预测显示,在当前热条件下且无适应措施的情况下,到2100年,在低、中、高排放情景下,极端高温导致的额外住院人数将分别达到60万、380万和510万。这些发现凸显了制定有针对性的缓解策略的必要性,以减少与气候相关的住院风险和经济负担的不均衡,同时考虑城市地理、极端温度、人群和碳排放发展路径的差异。