TY - JOUR
T1 - Assessing global factors associated with tropical cyclone-related mortality
T2 - A population-based longitudinal study
AU - M.PascalMathildeMCC collaborators
AU - Huang, Wenzhong
AU - Yang, Zhengyu
AU - Otto, Christian
AU - Mengel, Matthias
AU - Hales, Simon
AU - Zhang, Yiwen
AU - Xu, Rongbin
AU - Bell, Michelle L.
AU - Gasparrini, Antonio
AU - Kan, Haidong
AU - Sera, Francesco
AU - Schwartz, Joel
AU - Lavigne, Eric
AU - Hundessa, Samuel
AU - Yu, Wenhua
AU - Carlos Chua, Paul Lester
AU - Seposo, Xerxes
AU - Goodman, Patrick
AU - Zeka, Ariana
AU - Hashizume, Masahiro
AU - Micheline, Micheline S.
AU - Xu, Zhihu
AU - Ye, Tingting
AU - Yu, Pei
AU - Wu, Yao
AU - Wen, Bo
AU - Liu, Yanming
AU - Li, Shanshan
AU - Guo, Yuming
AU - Roye, Dominic
AU - Kim, Ho
AU - Tobias, Aurelio
AU - Guo, Yue Leon
AU - Pan, Shih Chun
AU - Vicedo-Cabrera, Ana Maria
AU - Honda, Yasushi
AU - Huber, Veronika
AU - Jaakkola, Jouni J.K.
AU - Urban, Aleš
AU - Carlsen, Hanne Krage
AU - Diaz, Magali Hurtado
AU - Félix Arellano, Eunice Elizabeth
AU - das Neves Pereira da Silva, Susana
AU - Madureira, Joana
AU - Lee, Whanhee
AU - Íñiguez, Carmen
AU - Zanobetti, Antonella
AU - Dang, Tran Ngoc
AU - Dung, Do Van
AU - Pascal, Mathilde
N1 - Publisher Copyright:
© 2026 The Authors.
PY - 2026/8
Y1 - 2026/8
N2 - Background The underlying factors associated with the substantial global tropical cyclone (TC)-related mortality burden, characterized by its highly variable spatiotemporal patterns, remain unclear. We aimed to identify and assess the key factors associated with TC-related mortality on a global scale. Methods We collected mortality records from 2034 locations in 68 countries/territories across five continents (2000–2019) to identify and assess the key factors associated with TC-related mortality on a global scale. Bayesian ensemble models were applied to estimate the associated mortality for each TC event in each location. A random forest regression (RFR) model was employed to assess the relative statistical importance of TC and location characteristics, as well as their interactions, regarding the TC-related mortality. Findings For TC physical characteristics, the TC-associated cumulative rainfall consistently exhibited stronger influence on mortality than TC-induced surge-driven flood depth or maximum sustained windspeed. However, sociodemographic factors, including population traits (e.g., population density, proportion of the population aged ≤ 9 years, percent of the population aged ≥ 65 years) and socioeconomic and infrastructure development (e.g., built-up ratio), showed greater relative importance than the TC physical attributes and accounted for the majority of the explained variations in TC-related mortality. Furthermore, cumulative rainfall interacted strongly with local sociodemographic conditions and was potentially the most important associated factor for disparities in mortality arising from factor interactions. Interpretation The findings highlight the critical role of sociodemographic factors in explaining the global spatiotemporal variability of TC-related mortality, surpassing the relative importance of TC intensity. TC-related rainfall could be a key associated physical factor of the global mortality burden.
AB - Background The underlying factors associated with the substantial global tropical cyclone (TC)-related mortality burden, characterized by its highly variable spatiotemporal patterns, remain unclear. We aimed to identify and assess the key factors associated with TC-related mortality on a global scale. Methods We collected mortality records from 2034 locations in 68 countries/territories across five continents (2000–2019) to identify and assess the key factors associated with TC-related mortality on a global scale. Bayesian ensemble models were applied to estimate the associated mortality for each TC event in each location. A random forest regression (RFR) model was employed to assess the relative statistical importance of TC and location characteristics, as well as their interactions, regarding the TC-related mortality. Findings For TC physical characteristics, the TC-associated cumulative rainfall consistently exhibited stronger influence on mortality than TC-induced surge-driven flood depth or maximum sustained windspeed. However, sociodemographic factors, including population traits (e.g., population density, proportion of the population aged ≤ 9 years, percent of the population aged ≥ 65 years) and socioeconomic and infrastructure development (e.g., built-up ratio), showed greater relative importance than the TC physical attributes and accounted for the majority of the explained variations in TC-related mortality. Furthermore, cumulative rainfall interacted strongly with local sociodemographic conditions and was potentially the most important associated factor for disparities in mortality arising from factor interactions. Interpretation The findings highlight the critical role of sociodemographic factors in explaining the global spatiotemporal variability of TC-related mortality, surpassing the relative importance of TC intensity. TC-related rainfall could be a key associated physical factor of the global mortality burden.
UR - https://www.scopus.com/pages/publications/105044234413
U2 - 10.1016/j.envint.2026.110409
DO - 10.1016/j.envint.2026.110409
M3 - Article
AN - SCOPUS:105044234413
SN - 0160-4120
VL - 214
JO - Environment International
JF - Environment International
M1 - 110409
ER -