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北卡罗来纳州博福特县飓风艾琳撤离行为的社会因素调节作用

Social Factors as Modifiers of Hurricane Irene Evacuation Behavior in Beaufort County, NC.

作者信息

Ricchetti-Masterson Kristen, Horney Jennifer

机构信息

Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

出版信息

PLoS Curr. 2013 Jun 5;5:ecurrents.dis.620b6c2ec4408c217788bb1c091ef919. doi: 10.1371/currents.dis.620b6c2ec4408c217788bb1c091ef919.

DOI:10.1371/currents.dis.620b6c2ec4408c217788bb1c091ef919
PMID:23788200
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3682762/
Abstract

Encouraging residents in high-risk areas to evacuate before a hurricane makes landfall is one of the few ways to reduce hurricane-related morbidity and mortality. However, demographic factors associated with evacuation in at-risk groups have not been consistent across studies. To determine if social factors (social control, social cohesion, and social capital) modified the relationship between demographic groups and failure to evacuate from Hurricane Irene, the authors conducted a cross-sectional stratified two-stage cluster sample among residents of Beaufort County, NC. Of 226 attempted rapid response interviews, 205 were completed (response rate = 90.7%). Data were analyzed using generalized linear modeling, which produced crude risk differences to estimate the association between failure to evacuate from Hurricane Irene and a number of demographic and social factors; effect measure modification (EMM) was assessed on the additive scale through stratified analyses of key social factors. There were no significant associations between demographic or social factors and evacuation in the bivariate analysis. However, EMM was present for households with high social capital or social cohesion among special needs residents, those over age 65, males, and non-whites. In Beaufort County, NC, future hazard mitigation plans should include evacuation messages tailored for households with high social capital or social cohesion.

摘要

在飓风登陆前鼓励高危地区居民撤离是降低与飓风相关的发病率和死亡率的少数方法之一。然而,各研究中与高危群体撤离相关的人口因素并不一致。为了确定社会因素(社会控制、社会凝聚力和社会资本)是否改变了人口群体与未撤离“艾琳”飓风之间的关系,作者在北卡罗来纳州博福特县居民中进行了一项横断面分层两阶段整群抽样调查。在226次尝试的快速反应访谈中,完成了205次(回复率=90.7%)。使用广义线性模型对数据进行分析,得出粗略风险差异,以估计未撤离“艾琳”飓风与一些人口和社会因素之间的关联;通过对关键社会因素的分层分析,在相加尺度上评估效应量修正(EMM)。在双变量分析中,人口或社会因素与撤离之间没有显著关联。然而,在特殊需求居民、65岁以上人群、男性和非白人中,社会资本或社会凝聚力较高的家庭存在效应量修正。在北卡罗来纳州博福特县,未来的减灾计划应包括为社会资本或社会凝聚力较高的家庭量身定制的撤离信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0da0/3682762/cc7b31f8f0fa/Figure-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0da0/3682762/f13f46c0e382/Figure-12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0da0/3682762/cc7b31f8f0fa/Figure-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0da0/3682762/f13f46c0e382/Figure-12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0da0/3682762/cc7b31f8f0fa/Figure-2.jpg

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