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首页> 外文期刊>Environment and Natural Resources Journal >Factors Related to Coastal Communities’ Water-Related Natural Disaster Awareness, Preparedness, Resilience and Recovery in Three Cyclone Nargis Affected Areas in the Ayeyarwaddy Delta Region, Myanmar
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Factors Related to Coastal Communities’ Water-Related Natural Disaster Awareness, Preparedness, Resilience and Recovery in Three Cyclone Nargis Affected Areas in the Ayeyarwaddy Delta Region, Myanmar

机译:与沿海社区的水有关的自然灾害意识,准备,复原力和复苏的因素在Ayyarwaddy Delta地区,缅甸缅甸

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Natural disasters have a negative impact on the socio-economy of a country. This cross-sectional analytical study determined the factors that influence coastal communities’ water-related disaster awareness, preparedness, resilience and recovery in Cyclone Nargis affected areas in Myanmar. A total of 390 respondents from the three townships most affected by Cyclone Nargis in the Ayeyarwaddy Delta Region were purposively selected. Data were analyzed using SPSS Version 22.0. Associations between variables were analyzed by using binary logistic regression with p0.05. Multivariate analysis was performed for the final model and interpreted with adjusted odds ratio and 95% confidence interval. Among respondents, more than 75% were not only aware and prepared before the disaster but had recovered and demonstrated resilience following the disaster. The respondents who had problems recovering on the “financial” index were 0.5 times less likely to exhibit recovery (OR=0.558, 95% CI=0.346-0.899, p=0.016) in binary analysis. The respondents who had problems recovering on the “health” index were 0.3 times less likely to demonstrate recovery (OR=0.387, 95% CI=0.194-0.772, p=0.007) in multivariate analysis. It is recommended that awareness and disaster management education programs that shape behavioral change are initiated which target both rural and urban areas in Myanmar.
机译:自然灾害对一个国家的社会经济产生负面影响。这种横截面分析研究确定了影响沿海与水有关的灾难意识,准备,复原力和复苏的因素,在缅甸的Cyclone Nargis受影响的地区。从Ayeyarwaddy Delta地区受到旋风炎的三个乡镇的390名受访者中,均有术语。使用SPSS版本22.0分析数据。通过使用P <0.05的二进制逻辑回归分析变量之间的关联。对最终模型进行多变量分析,并用调整后的差距和95%置信区间解释。在受访者中,超过75%的人不仅意识到并在灾难之前制定并在灾难之后恢复并表现出恢复力。在二进制分析中,在“金融”指数上恢复问题恢复问题的受访者可能在二元分析中恢复的可能性减少0.5倍以下的恢复(或= 0.558,95%,P = 0.016)。在多变量分析中,在多变量分析中,在“健康”指数上恢复问题的受访者可能恢复的“健康”指数恢复的可能性较少的0.3倍以下的可能性较少,或= 0.387,95%CI = 0.194-0.772,p = 0.007)。建议启动了塑造行为变革的意识和灾害管理教育计划,该计划旨在瞄准缅甸的农村和城市地区。

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