Percorrer por autor "Hales, Simon"
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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.
- Global excess deaths associated with heatwaves in 2023 and the contribution of human-induced climate changePublication . Hundessa, Samuel; Huang, Wenzhong; Xu, Rongbin; Yang, Zhengyu; Zhao, Qi; Gasparrini, Antonio; Armstrong, Ben; Bell, Michelle L.; Huber, Veronika; Urban, Aleš; Coelho, Micheline; Sera, Francesco; Tong, Shilu; Royé, Dominic; Kyselý, Jan; de'Donato, Francesca; Mistry, Malcolm; Tobias, Aurelio; Íñiguez, Carmen; Ragettli, Martina S.; Hales, Simon; Achilleos, Souzana; Klompmaker, Jochem; Li, Shanshan; Guo, Yuming; Multi-Country Multi-City Collaborative Research NetworkAbstract: An unprecedented heatwave swept the globe in 2023, marking it one of the hottest years on record and raising concerns about its health impacts. However, a comprehensive assessment of the heatwave-related mortality and its attribution to human-induced climate change remains lacking. We aim to address this gap by analyzing high-resolution climate and mortality data from 2,013 locations across 67 countries/territories using a three-stage modeling approach. First, we estimated historical heatwave-mortality associations using a quasi-Poisson regression model with distributed lag structures, considering lag effects, seasonality, and within-week variations. Second, we pooled the estimates in meta-regression, accounting for spatial heterogeneity and potential changes in heatwave-mortality associations over time. Third, we predicted grid-specific (0.5 0.5) association in 2023 and calculated the heatwave-related excess deaths, death ratio, and death rate per million people. Attribution analysis was conducted by comparing heatwave-related mortality under factual and counterfactual climate scenarios. We estimated 178,486 excess deaths (95% empirical confidence interval [eCI], 159,892≥204,147) related to the 2023 heatwave, accounting for 0.73% of global deaths, corresponding to 23 deaths per million people. The highest mortality rates occurred in Southern (120, 95% eCI, 116≥126), Eastern (107, 95% eCI, 100≥114), and Western Europe (66, 95% eCI, 62≥70), where the excess death ratio was also higher. Notably, 54.29% (95% eCI, 45.71%≥61.36%) of the global heatwave-related deaths were attributable to human-induced climate change. These results underscore the urgent need for adaptive public health interventions and climate mitigation strategies to reduce future mortality burdens in the context of increasing global warming.
- Global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019: a multi-country time-series studyPublication . Huang, Wenzhong; Li, Shanshan; Vogt, Thomas; Xu, Rongbin; Tong, Shilu; Molina, Tomás; Masselot, Pierre; Gasparrini, Antonio; Armstrong, Ben; Pascal, Mathilde; Royé, Dominic; Sheng Ng, Chris Fook; Vicedo-Cabrera, Ana Maria; Schwartz, Joel; Lavigne, Eric; Kan, Haidong; Goodman, Patrick; Zeka, Ariana; Hashizume, Masahiro; Diaz, Magali Hurtado; Valencia, César De la Cruz; Seposo, Xerxes; Nunes, Baltazar; Madureira, Joana; Kim, Ho; Lee, Whanhee; Tobias, Aurelio; Íñiguez, Carmen; Guo, Yue Leon; Pan, Shih-Chun; Zanobetti, Antonella; Dang, Tran Ngoc; Dung, Do Van; Geiger, Tobias; Otto, Christian; Johnson, Amanda; Hales, Simon; Pei Yu; Yang, Zhengyu; Ritchie, Elizabeth A.; Guo, YumingBackground: 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.