Percorrer por autor "Zhang, Yiwen"
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- Assessing global factors associated with tropical cyclone-related mortality: A population-based longitudinal studyPublication . Huang, Wenzhong; Yang, Zhengyu; Otto, Christian; Mengel, Matthias; Hales, Simon; Zhang, Yiwen; Xu, Rongbin; Bell, Michelle L.; Gasparrini, Antonio; Kan, Haidong; Sera, Francesco; Schwartz, Joel; Lavigne, Eric; Hundessa, Samuel; Yu, Wenhua; Carlos Chua, Paul Lester; Seposo, Xerxes; Goodman, Patrick; Zeka, Ariana; Hashizume, Masahiro; Z S Coelho, Micheline S.; Xu, Zhihu; Ye, Tingting; Yu, Pei; Wu, Yao; Wen, Bo; Liu, Yanming; Li, Shanshan; Guo, Yuming; MCC CollaboratorsBackground: 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.
- Improved global air quality health index reveals ozone and nitrogen dioxide as main drivers of air-pollution-related acute mortalityPublication . Huang, Wenzhong; Li, Tiantian; Masselot, Pierre; Xu, Rongbin; Gasparrini, Antonio; Sera, Francesco; Bell, Michelle L.; Hashizume, Masahiro; Breitner, Susanne; Tong, Shilu; Kan, Haidong; Yang, Zhengyu; Zhang, Yiwen; Yu, Wenhua; Yu, Pei; Zhou, Shuang; Sun, Qinghua; Zhang, Jingwei; Lavigne, Eric; Madureira, Joana; Guo, Yue Leon; Gaio, Vânia; Li, Shanshan; Guo, Yuming; MCC Collaborative Research NetworkAmbient air pollutants are leading contributors to global mortality. Despite the well-established risks, most studies have relied on single-pollutant models in limited regions, leaving the combined effects and individual contributions of pollutants unclear, particularly across countries. Here, we integrate daily mortality and air pollutant (nitrogen dioxide [NO], ozone [O], fine particulate matter, and sulfur dioxide) data from 482 cities in 12 countries/territories from 1998 to 2021 to assess the joint mortality risks and identify the main contributing pollutant through an air quality health index of multi-pollutant constrained groupwise additive models (AQHI-Multi). AQHI-Multi outperformed commonly used air quality indices in capturing the overall mortality risks. O and NO were the leading contributors (accounting for over 70% across countries/territories), with O's share increasing slightly to moderately in most countries/territories. These findings highlight the need for developing air quality indices using advanced multi-pollutant models and the emerging global significance of targeted control of O and NO.