International Journal of Disaster Risk Reduction
International Journal of Disaster Risk Reduction
复制标题
DOI：
10.1016/j.psep.2020.10.054
复制
发表时间：
2023
影响因子：
7.8
通讯作者：
Mahmoud Arvin;Parisa Beiki;S. Z. Shahraki
中科院分区：
文献类型：
--
作者：
Mahmoud Arvin;Parisa Beiki;S. Z. Shahraki
社会脆弱性和社会复原力是两个经常用来考察社会系统准备、吸收和适应环境灾害和冲击的能力的概念。随着COVID-19疫情的出现，社会脆弱性在应对风险中的作用再次受到关注。评估社会脆弱性可以帮助管理者和规划者优先考虑预算，制定预防计划，并加强风险准备。这项研究旨在确定伊朗阿瓦士社区的社会脆弱性与COVID-19之间的关联。为了评估阿瓦士社区的社会脆弱性，决策技术（最佳-最差方法和加权总和产品评估方法）和地理信息系统的应用。此外，为了调查社会脆弱性与COVID-19病例之间的关系，使用了Pearson相关性检验。结果表明，“20米沙赫尔达里”社区的社会脆弱性水平最高，阿瓦士社区中社会脆弱性水平最低的属于“沙赫拉克纳夫特”社区。阿瓦士的社会脆弱性综合指数与每1000人中COVID-19的发病率之间呈低负相关。通过揭示邻里层面最重要的细节和脆弱性水平，结果可以为邻里层面的有效规划行动提供信息。
Social vulnerability and society's resilience are two concepts frequently used to examine the ca- pacity of social systems to prepare, absorb, and adapt to environmental hazards and shocks. With the emergence of the COVID-19 pandemic, the role of social vulnerability in dealing with risks has gained renewed attention. Assessing social vulnerability can help managers and planners prioritize budgets, develop prevention programs, and enhance risk preparedness. This study aimed to determine the association between social vulnerability and COVID-19 in the neighborhoods of Ahvaz, Iran. To assess the social vulnerability of Ahvaz neighborhoods, decision-making tech- niques (best-worst method and weighted aggregated sum product assessment method) and geographic information systems were applied. Moreover, to investigate the relationship between so- cial vulnerability and COVID-19 cases, the Pearson correlation test was used. The results showed that the ‘ 20-meteri shahrdari ’ neighborhood has the highest level of social vulnerability, and the lowest level of social vulnerability among the neighborhoods of Ahvaz belongs to the neighborhood of ‘ Shahrak Naft ’ . There is a low inverse association between the integrated index of social vulnerability and the incidence of COVID-19 per 1000 people in Ahvaz. By revealing the most important details at the neighborhood level and levels of vulnerability, the results can inform effec- tive planning actions at the neighborhood level.