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Global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019: a multi-country time-series study

热带气旋 期限(时间) 系列(地层学) 地理 人口学 气候学 发展经济学 气象学 经济 生物 地质学 社会学 古生物学 物理 量子力学
作者
Wenzhong Huang,Shanshan Li,Thomas Vogt,Ruijun Xu,Shilu Tong,Tomàs Molina,Pierre Masselot,Antonio Gasparrini,Ben Armstrong,Mathilde Pascal,Dominic Royé,Chris Fook Sheng Ng,Ana M. Vicedo‐Cabrera,Joel Schwartz,Éric Lavigne,Haidong Kan,Patrick Goodman,Ariana Zeka,Masahiro Hashizume,Magali Hurtado Díaz,César De la Cruz Valencia,Xerxes Seposo,Baltazar Nunes,Joana Madureira,Ho Kim,Whanhee Lee,Aurelio Tobías,Carmen Íñiguez,Yang Guo,Shih-Chun Pan,Antonella Zanobetti,Trần Ngọc Đăng,Do Van Dung,Tobias Geiger,Christian Otto,Amanda L. Johnson,Simon Hales,Pei Yu,Zhengyu Yang,Elizabeth A. Ritchie,Yuming Guo
出处
期刊:The Lancet Planetary Health [Elsevier BV]
卷期号:7 (8): e694-e705 被引量:5
标识
DOI:10.1016/s2542-5196(23)00143-2
摘要

Summary

Background

The global spatiotemporal pattern of mortality risk and burden attributable to tropical cyclones is unclear. We aimed to evaluate the global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019.

Methods

The wind speed associated with cyclones from 1980 to 2019 was estimated globally through a parametric wind field model at a grid resolution of 0·5° × 0·5°. A total of 341 locations with daily mortality and temperature data from 14 countries that experienced at least one tropical cyclone day (a day with maximum sustained wind speed associated with cyclones ≥17·5 m/s) during the study period were included. A conditional quasi-Poisson regression with distributed lag non-linear model was applied to assess the tropical cyclone–mortality association. A meta-regression model was fitted to evaluate potential contributing factors and estimate grid cell-specific tropical cyclone effects.

Findings

Tropical cyclone exposure was associated with an overall 6% (95% CI 4–8) increase in mortality in the first 2 weeks following exposure. Globally, an estimate of 97 430 excess deaths (95% empirical CI [eCI] 71 651–126 438) per decade were observed over the 2 weeks following exposure to tropical cyclones, accounting for 20·7 (95% eCI 15·2–26·9) excess deaths per 100 000 residents (excess death rate) and 3·3 (95% eCI 2·4–4·3) excess deaths per 1000 deaths (excess death ratio) over 1980–2019. The mortality burden exhibited substantial temporal and spatial variation. East Asia and south Asia had the highest number of excess deaths during 1980–2019: 28 744 (95% eCI 16 863–42 188) and 27 267 (21 157–34 058) excess deaths per decade, respectively. In contrast, the regions with the highest excess death ratios and rates were southeast Asia and Latin America and the Caribbean. From 1980–99 to 2000–19, marked increases in tropical cyclone-related excess death numbers were observed globally, especially for Latin America and the Caribbean and south Asia. Grid cell-level and country-level results revealed further heterogeneous spatiotemporal patterns such as the high and increasing tropical cyclone-related mortality burden in Caribbean countries or regions.

Interpretation

Globally, short-term exposure to tropical cyclones was associated with a significant mortality burden, with highly heterogeneous spatiotemporal patterns. In-depth exploration of tropical cyclone epidemiology for those countries and regions estimated to have the highest and increasing tropical cyclone-related mortality burdens is urgently needed to help inform the development of targeted actions against the increasing adverse health impacts of tropical cyclones under a changing climate.

Funding

Australian Research Council and Australian National Health and Medical Research Council.
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