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热带气旋特定的死亡风险及关注时期:一项多国时间序列研究。

Tropical cyclone-specific mortality risks and the periods of concern: A multicountry time-series study.

作者信息

Huang Wenzhong, Yang Zhengyu, Zhang Yiwen, Vogt Thomas, Armstrong Ben, Yu Wenhua, Xu Rongbin, Yu Pei, Liu Yanming, Gasparrini Antonio, Hundessa Samuel, Lavigne Eric, Molina Tomas, Geiger Tobias, Guo Yue Leon, Otto Christian, Hales Simon, Pourzand Farnaz, Pan Shih-Chun, Ju Ke, Ritchie Elizabeth A, Li Shanshan, Guo Yuming

机构信息

Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.

Potsdam Institute for Climate Impact Research, Potsdam, Germany.

出版信息

PLoS Med. 2024 Jan 22;21(1):e1004341. doi: 10.1371/journal.pmed.1004341. eCollection 2024 Jan.

Abstract

BACKGROUND

More intense tropical cyclones (TCs) are expected in the future under a warming climate scenario, but little is known about their mortality effect pattern across countries and over decades. We aim to evaluate the TC-specific mortality risks, periods of concern (POC) and characterize the spatiotemporal pattern and exposure-response (ER) relationships on a multicountry scale.

METHODS AND FINDINGS

Daily all-cause, cardiovascular, and respiratory mortality among the general population were collected from 494 locations in 18 countries or territories during 1980 to 2019. Daily TC exposures were defined when the maximum sustained windspeed associated with a TC was ≥34 knots using a parametric wind field model at a 0.5° × 0.5° resolution. We first estimated the TC-specific mortality risks and POC using an advanced flexible statistical framework of mixed Poisson model, accounting for the population changes, natural variation, seasonal and day of the week effects. Then, a mixed meta-regression model was used to pool the TC-specific mortality risks to estimate the overall and country-specific ER relationships of TC characteristics (windspeed, rainfall, and year) with mortality. Overall, 47.7 million all-cause, 15.5 million cardiovascular, and 4.9 million respiratory deaths and 382 TCs were included in our analyses. An overall average POC of around 20 days was observed for TC-related all-cause and cardiopulmonary mortality, with relatively longer POC for the United States of America, Brazil, and Taiwan (>30 days). The TC-specific relative risks (RR) varied substantially, ranging from 1.04 to 1.42, 1.07 to 1.77, and 1.12 to 1.92 among the top 100 TCs with highest RRs for all-cause, cardiovascular, and respiratory mortality, respectively. At country level, relatively higher TC-related mortality risks were observed in Guatemala, Brazil, and New Zealand for all-cause, cardiovascular, and respiratory mortality, respectively. We found an overall monotonically increasing and approximately linear ER curve of TC-related maximum sustained windspeed and cumulative rainfall with mortality, with heterogeneous patterns across countries and regions. The TC-related mortality risks were generally decreasing from 1980 to 2019, especially for the Philippines, Taiwan, and the USA, whereas potentially increasing trends in TC-related all-cause and cardiovascular mortality risks were observed for Japan.

CONCLUSIONS

The TC mortality risks and POC varied greatly across TC events, locations, and countries. To minimize the TC-related health burdens, targeted strategies are particularly needed for different countries and regions, integrating epidemiological evidence on region-specific POC and ER curves that consider across-TC variability.

摘要

背景

在气候变暖的情景下,预计未来热带气旋(TC)将更加强烈,但对于其在不同国家和数十年间的死亡影响模式知之甚少。我们旨在评估特定TC的死亡风险、关注期(POC),并在多国尺度上刻画时空模式和暴露-反应(ER)关系。

方法与结果

收集了1980年至2019年期间18个国家或地区494个地点普通人群的每日全因、心血管和呼吸死亡率。使用分辨率为0.5°×0.5°的参数化风场模型,当与TC相关的最大持续风速≥34节时定义每日TC暴露。我们首先使用混合泊松模型的先进灵活统计框架估计特定TC的死亡风险和POC,该框架考虑了人口变化、自然变异、季节和星期效应。然后,使用混合元回归模型汇总特定TC的死亡风险,以估计TC特征(风速、降雨量和年份)与死亡率之间的总体和国家特定的ER关系。总体而言,我们的分析纳入了4770万例全因死亡、1550万例心血管死亡、490万例呼吸死亡以及382次TC。观察到与TC相关的全因和心肺死亡率的总体平均POC约为20天,美国、巴西和台湾地区的POC相对较长(>30天)。特定TC的相对风险(RR)差异很大,在全因、心血管和呼吸死亡率RR最高的前100次TC中,分别为1.04至1.42、1.07至1.77和1.12至1.92。在国家层面,危地马拉、巴西和新西兰在全因、心血管和呼吸死亡率方面分别观察到相对较高的与TC相关的死亡风险。我们发现与TC相关的最大持续风速和累积降雨量与死亡率的总体ER曲线呈单调递增且近似线性,不同国家和地区存在异质性模式。1980年至2019年期间,与TC相关的死亡风险总体呈下降趋势,特别是在菲律宾、台湾地区和美国,但日本观察到与TC相关的全因和心血管死亡风险有潜在增加趋势。

结论

TC的死亡风险和POC在不同TC事件、地点和国家之间差异很大。为了将与TC相关的健康负担降至最低,不同国家和地区尤其需要针对性策略,整合关于特定地区POC和考虑跨TC变异性的ER曲线的流行病学证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c75e/10843109/e03216086f53/pmed.1004341.g001.jpg

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