Wang Qing, Chen Chen, Xu Huaiyue, Liu Yuanyuan, Zhong Yu, Liu Jing, Wang Menghan, Zhang Mengxue, Liu Yiting, Li Jing, Li Tiantian
National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China.
China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Lancet Reg Health West Pac. 2025 Jan 11;54:101266. doi: 10.1016/j.lanwpc.2024.101266. eCollection 2025 Jan.
Due to global climate change, high temperature and heatwaves have become critical issues that pose a threat to human health. An effective early warning system is essential to mitigate the health risks associated with high temperature and heatwaves. However, most of the current heatwave early warning systems are not adequately developed based on the heat-health risk model, and the health impact of hot weather has not been well managed in most countries.
This study proposed a "full-season coverage and population health-oriented graded early-warning" concept and developed a heat-health surveillance, forecast and early warning (HHSEW) model. The exposure-response (E-R) relationship between temperature and mortality was analyzed through a two-stage approach using time-series analysis data from 323 counties across China for the period 2013-2018. The premature mortality curve at each temperature percentile was plotted and four temperature-percentile points on the curve were determined as the thresholds of the pre-warning and warning levels 1-3 based on the variations in the rates of the segmental slopes on the curve. The HHSEW model was evaluated by comparing the frequency, the mortality risk of all-cause and cause-specific diseases, the predicted numbers of premature deaths, and the heat-related health economic burden at each warning level with those of the current high temperature early warning systems.
The HHSEW model determined five levels, including seasonal surveillance, pre-warning, and warning levels 1-3. There was a gradual increase in the mortality risks of all-cause and cause-specific diseases along with the increase of warning levels. The risk of all-cause mortality increased by 9.79% (95% CI: 8.59%-11.01%), 22.62% (95% CI: 19.49%-25.83%), 28.36% (95% CI: 24.72%-32.10%), and 33.87% (95% CI: 28.89%-39.06%) at the pre-warning level, warning level 1, warning level 2, and warning level 3, respectively. Through our HHSEW model, 94,008 heat-related all-cause deaths were predicted annually in the 337 major cities of China, which was much larger than the number (14,858) of the China Meteorological Administration (CMA) heatwave early-warning system currently used in China. It was estimated that the proper implementation of the HHSEW-based early warning system would save 220 billion CNY in heat-related health burden compared to the current heatwave early-warning system.
The HHSEW model has been proven to surpass the current heatwave early warning system. With its full-season coverage and graded warning levels for heat-related health risks, the HHSEW model and system can provide timely early warnings to the public, leading to significant health benefits. This methodology, labeled "full-season coverage and population health-oriented graded early-warning", should be implemented globally to mitigate the escalating health risks associated with high temperature.
National Natural Science Foundation of China (82425051, 42071433, 42305196, 82241051) and the Special Foundation of Basic Science and Technology Resources Survey of Ministry of Science and Technology of China (2017FY101204).
由于全球气候变化,高温和热浪已成为对人类健康构成威胁的关键问题。有效的早期预警系统对于减轻与高温和热浪相关的健康风险至关重要。然而,目前大多数热浪早期预警系统在基于热健康风险模型方面开发不足,且大多数国家对炎热天气的健康影响管理不善。
本研究提出了“全季节覆盖和以人群健康为导向的分级预警”概念,并开发了一个热健康监测、预测和早期预警(HHSEW)模型。利用2013 - 2018年中国323个县的时间序列分析数据,通过两阶段方法分析了温度与死亡率之间的暴露 - 反应(E - R)关系。绘制了每个温度百分位数处的过早死亡曲线,并根据曲线上分段斜率的变化率,将曲线上的四个温度百分位数点确定为预警和1 - 3级预警水平的阈值。通过将每个预警水平下的频率、全因和特定病因疾病的死亡风险、过早死亡预测数以及与热相关的健康经济负担与当前高温早期预警系统进行比较,对HHSEW模型进行了评估。
HHSEW模型确定了五个级别,包括季节监测、预警以及1 - 3级预警水平。随着预警水平的提高,全因和特定病因疾病的死亡风险逐渐增加。在预警水平、1级预警水平、2级预警水平和3级预警水平下,全因死亡风险分别增加了9.79%(95%置信区间:8.59% - 11.01%)、22.62%(95%置信区间:19.49% - 25.83%)、28.36%(95%置信区间:24.72% - 32.10%)和33.87%(95%置信区间:28.89% - 39.06%)。通过我们的HHSEW模型,预计中国337个主要城市每年有94,008例与热相关的全因死亡,这远高于中国目前使用的中国气象局(CMA)热浪早期预警系统的数字(14,858例)。据估计,与当前的热浪早期预警系统相比,基于HHSEW的早期预警系统的适当实施将节省2200亿元人民币的与热相关的健康负担。
HHSEW模型已被证明优于当前的热浪早期预警系统。凭借其全季节覆盖和针对热相关健康风险的分级预警水平,HHSEW模型和系统可以向公众提供及时的早期预警,带来显著的健康益处。这种被称为“全季节覆盖和以人群健康为导向的分级预警”的方法应在全球范围内实施,以减轻与高温相关的不断升级的健康风险。
中国国家自然科学基金(82425051、42071433、42305196、82241051)以及中国科学技术部基础科学和技术资源调查专项基金(2017FY101204)。