The Texas flood registry: a flexible tool for environmental and public health practitioners and researchers.
The Texas flood registry: a flexible tool for environmental and public health practitioners and researchers.
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德克萨斯州洪水登记处：环境和公共卫生从业者和研究人员的灵活工具。
DOI：
10.1038/s41370-021-00347-z
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发表时间：
2021-09
影响因子：
4.5
通讯作者：
Tootoo J
中科院分区：
文献类型：
--
作者：
Miranda ML;Callender R;Canales JM;Craft E;Ensor KB;Grossman M;Hopkins L;Johnston J;Shah U;Tootoo J
飓风哈维于2017年8月在德克萨斯州罗克波特登陆，导致前所未有的洪水，成千上万的人流离失所，并为更多人带来环境危害和风险。我们描述了一个合作项目，建立得克萨斯州洪水登记处，以跟踪重大洪水事件对健康和住房的影响。登记的人回答有关风暴对他们的健康和住房状况的影响的回顾性问题。我们招募了那些在风暴事件中发生和没有发生洪水的人，以进行关键比较。我们利用与多个当地卫生部门，社区团体和媒体的合作伙伴关系，广泛招募。我们使用多变量逻辑回归和二项式贝叶斯条件自回归（CAR）空间模型进行了初步分析。我们发现，那些房屋被洪水淹没的人，或者直接与洪水接触的人，更有可能经历一系列自我报告的健康影响。家庭收入中位数与不利的健康影响呈负相关，空间分析在建模方法中提供了重要的见解。全球气候变化可能会增加降雨事件的数量和强度，导致额外的健康负担。在为我们地球的未来做准备时，必须收集关于重大洪水事件对健康和住房影响的人口数据。
Making landfall in Rockport, Texas in August 2017, Hurricane Harvey resulted in unprecedented flooding, displacing tens of thousands of people, and creating environmental hazards and exposures for many more. We describe a collaborative project to establish the Texas Flood Registry to track the health and housing impacts of major flooding events. Those who enroll in the registry answer retrospective questions regarding the impact of storms on their health and housing status. We recruit both those who did and did not flood during storm events to enable key comparisons. We leverage partnerships with multiple local health departments, community groups, and media outlets to recruit broadly. We performed a preliminary analysis using multivariable logistic regression and a binomial Bayesian conditional autoregressive (CAR) spatial model. We find that those whose homes flooded, or who came into direct skin contact with flood water, are more likely to experience a series of self-reported health effects. Median household income is inversely related to adverse health effects, and spatial analysis provides important insights within the modeling approach. Global climate change is likely to increase the number and intensity of rainfall events, resulting in additional health burdens. Population-level data on the health and housing impacts of major flooding events is imperative in preparing for our planet’s future.
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影响因子：
11
作者：
Kessler, R. C.;Galea, S.;Wessely, S.
通讯作者：
Wessely, S.
影响因子：
8
作者：
Knutson, Thomas;Camargo, Suzana J.;Wu, Liguang
通讯作者：
Wu, Liguang
影响因子：
2.7
作者：
Douple, Evan B.;Mabuchi, Kiyohiko;Cullings, Harry M.;Preston, Dale L.;Kodama, Kazunori;Shimizu, Yukiko;Fujiwara, Saeko;Shore, Roy E.
通讯作者：
Shore, Roy E.
DOI：
10.1007/s11524-008-9317-4
发表时间：
2008-11-01
影响因子：
6.6
作者：
Farfel, Mark;DiGrande, Laura;Thorpe, Lorna
通讯作者：
Thorpe, Lorna
影响因子：
120.7
作者：
Mallonee, S;Shariat, S;Jordan, F
通讯作者：
Jordan, F