Hospitalization risks associated with floods in a multi-country study.

Nature water Pub Date : 2025-01-01 Epub Date: 2025-04-08 DOI:10.1038/s44221-025-00425-8
Zhengyu Yang, Wenzhong Huang, Joanne E McKenzie, Rongbin Xu, Pei Yu, Yao Wu, Yanming Liu, Bo Wen, Yiwen Zhang, Wenhua Yu, Tingting Ye, Yuxi Zhang, Ke Ju, Simon Hales, Micheline de Sousa Zanotti Stagliorio Coelho, Patricia Matus, Kraichat Tantrakarnapa, Yue Leon Guo, Wissanupong Kliengchuay, Eric Lavigne, Dung Phung, Paulo Hilario Nascimento Saldiva, Yuming Guo, Shanshan Li
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Abstract

Floods of unprecedented intensity and frequency have been observed. However, evidence regarding the impacts of floods on hospitalization remains limited. Here we collected daily hospitalization counts during 2000-2019 from 747 communities in Australia, Brazil, Canada, Chile, New Zealand, Taiwan, Thailand and Vietnam. For each community, flooded days were defined as days from the start dates to the end dates of flood events. Lag-response associations between flooded day and daily hospitalization risks were estimated for each community using a quasi-Poisson regression model with a distributed lag nonlinear function. The community-specific estimates were then pooled using a random-effects meta-analysis. Based on the pooled estimates, attributable fractions of hospitalizations due to floods were calculated. We found that hospitalization risks increased and persisted for up to 210 days after flood exposure, with the overall relative risks being 1.26 (95% confidence interval 1.15-1.38) for all causes, 1.35 (1.21-1.50) for cardiovascular diseases, 1.30 (1.13-1.49) for respiratory diseases, 1.26 (1.10-1.44) for infectious diseases, 1.30 (1.17-1.45) for digestive diseases, 1.11 (0.98-1.25) for mental disorders, 1.61 (1.39-1.86) for diabetes, 1.35 (1.21-1.50) for injury, 1.34 (1.21-1.48) for cancer, 1.34 (1.20-1.50) for nervous system disorders and 1.40 (1.22-1.60) for renal diseases. The associations were modified by climate types, flood severity, age, population density and socioeconomic status. Flood exposure contributed to hospitalizations by up to 0.27% from all causes. This study revealed that flood exposure was associated with increased all-cause and ten cause-specific hospitalization risks within up to 210 days after exposure.

一项多国研究中与洪水相关的住院风险
洪水的强度和频率都是前所未有的。然而,关于洪水对住院治疗影响的证据仍然有限。在这里,我们收集了2000年至2019年期间澳大利亚、巴西、加拿大、智利、新西兰、台湾、泰国和越南的747个社区的每日住院人数。对于每个社区,洪水天数被定义为从洪水事件开始日期到结束日期的天数。使用具有分布滞后非线性函数的准泊松回归模型估计了每个社区洪水日与每日住院风险之间的滞后响应关联。然后使用随机效应荟萃分析汇总特定社区的估计。根据汇总估计值,计算了因洪水住院的可归因比例。我们发现,在洪水暴露后,住院风险增加并持续210天,所有原因的总体相对风险为1.26(95%置信区间为1.15-1.38),心血管疾病为1.35(1.21-1.50),呼吸系统疾病为1.30(1.13-1.49),传染病为1.26(1.10-1.44),消化系统疾病为1.30(1.17-1.45),精神障碍为1.61(1.39-1.86),糖尿病为1.35(1.21-1.50),损伤为1.35(1.21-1.50),癌症为1.34(1.21-1.48)。神经系统疾病为1.34(1.20-1.50),肾脏疾病为1.40(1.22-1.60)。气候类型、洪水严重程度、年龄、人口密度和社会经济地位改变了这种关联。洪水暴露导致所有原因导致的住院率高达0.27%。本研究显示,洪水暴露与暴露后210天内全因和十因特异性住院风险增加有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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