Fatemi Farin, Fallah-Aliabadi Saeed, Sarsangi Alireza, Dehghani Mohammadreza, Heydari Ahad
Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran.
Department of Health in Emergencies and Disasters, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Int J Disaster Risk Reduct. 2023 Jun 1;91:103676. doi: 10.1016/j.ijdrr.2023.103676. Epub 2023 Apr 12.
Socio-economic vulnerability plays a major role in affected countries by disasters and emergencies. This study aims to identify the most effective socio-economic vulnerability indicators on COVID-19 cases and severity in the Yazd city. This study was conducted in 2022. Regarding purpose of study, different methods were applied during this research. They were including reviewing scientific research, expert panel sessions, weighting the socio-economic vulnerability indicators by Analytic Hierarchy Process (AHP) and examining the spatially relationships between vulnerability indicators and COVID-19. Excel and GIS software were applied for data analysis using local correlation coefficient. AHP analysis showed that employment, population density, buildings quality and distance from hospitals were obtained the most weight in the related indicators of socio-economic vulnerability. GIS mapping overlying showed that four socio-economic vulnerability sub indicators including percentage of immigrants, age, population density and distance from health centers had spatially relationships with COVID-19 cases and severity. Western, northern and some central regions of Yazd were identified as the COVID-19 hot spots. Local officials and health authorities should pay immediate attention to the most influential socio-econimic vulnerability indicators that are dominant in the Yazd city. They incorporate measures to the regions identified as hot spots because people who located in these areas are more vulnerable to COVID-19 and the other future natual or man-made disasters.
社会经济脆弱性在受灾害和紧急情况影响的国家中起着重要作用。本研究旨在确定亚兹德市新冠肺炎病例和严重程度方面最有效的社会经济脆弱性指标。本研究于2022年进行。针对研究目的，本研究采用了不同的方法。包括查阅科学研究、专家小组会议、通过层次分析法（AHP）对社会经济脆弱性指标进行加权以及研究脆弱性指标与新冠肺炎之间的空间关系。使用Excel和GIS软件通过局部相关系数进行数据分析。层次分析法分析表明，就业、人口密度、建筑质量和与医院的距离在社会经济脆弱性相关指标中权重最大。GIS叠加映射显示，包括移民百分比、年龄、人口密度和与医疗中心的距离在内的四个社会经济脆弱性子指标与新冠肺炎病例和严重程度存在空间关系。亚兹德的西部、北部和一些中部地区被确定为新冠肺炎热点地区。地方官员和卫生当局应立即关注亚兹德市占主导地位的最具影响力的社会经济脆弱性指标。他们应将措施纳入被确定为热点地区的区域，因为这些地区的人们更容易受到新冠肺炎以及未来其他自然或人为灾害的影响。
