School of Social Work, Tulane University.
Department of Social Work, Stellenbosch University, South Africa.
Disaster Med Public Health Prep. 2023 Jun 19;17:e416. doi: 10.1017/dmp.2023.78.
The purpose of this research was a pilot examination to identify and assess relationships among social vulnerability, personal resilience, and preparedness for a sample of US residents living in the Gulf South, who had experienced climate-related disaster (e.g., hurricanes) and the COVID-19 pandemic.
Binary logistic regression was conducted using primary survey data collected in 2020 (n = 744) to identify statistically significant explanatory variables of sociodemographic characteristics and resilience, measured by the CD-RISC 10, of climate-related disaster, and pandemic preparedness.
Results indicate that respondents who identified as white, had more education, were in a relationship, and spoke English as a first language, as well as respondents who had exhibited greater resilience, were more likely to prepare for a climate-related disaster. Respondents who spoke English as a first language, had more education, and greater resilience were found to be statistically significant explanatory variables of pandemic preparedness. Respondents who prepared for disaster were also more likely to prepare for the pandemic.
These findings provide insights into protective factors related to preparedness, including linkages between resilience and preparedness that can aid public health professionals in supporting resilience and preparedness efforts for impacted communities.
本研究旨在对美国墨西哥湾沿岸地区的居民进行试点调查，以确定和评估社会脆弱性、个人韧性以及对经历过气候相关灾害（如飓风）和 COVID-19 大流行的居民的准备情况之间的关系。
使用 2020 年收集的主要调查数据（n=744）进行二元逻辑回归，以确定与社会人口统计学特征和韧性（通过 CD-RISC 10 测量）有关的气候相关灾害和大流行准备情况的统计学显著解释变量。
结果表明，自认为是白人、受教育程度更高、有伴侣且以英语为第一语言的受访者，以及表现出更强韧性的受访者，更有可能为气候相关灾害做准备。以英语为第一语言、受教育程度更高和韧性更强的受访者被发现是大流行准备情况的统计学显著解释变量。为灾害做准备的受访者也更有可能为大流行做准备。
这些发现为准备工作的保护因素提供了深入了解，包括韧性和准备之间的联系，这可以帮助公共卫生专业人员支持受灾社区的韧性和准备工作。
