Qiao Mengling, Huang Bo
Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
Int J Appl Earth Obs Geoinf. 2022 Sep;113:103007. doi: 10.1016/j.jag.2022.103007. Epub 2022 Sep 6.
The COVID-19 pandemic continues to threaten global public health. Reliable assessment of community vulnerability is therefore essential to fighting and mitigating the pandemic. This study presents a framework that considers the roles of internal and external factors, including the components of social vulnerability, exposure, and sensitivity, to comprehensively and accurately assess community vulnerability to the pandemic. With respect to internal factors, we summarized the inherent social characteristics of people groups using census data and explored the roles of both overall and four major thematic social vulnerabilities in shaping community infection by COVID-19. We then designed two external factors to characterize exposure and sensitivity and implemented an aggregation by multiplying them with the internal social vulnerability to achieve a comprehensive vulnerability assessment. The role of the estimated vulnerability in shaping community infection was evaluated by statistical and spatial analysis as well as by risk factor classification using defined rules. This case study of Hong Kong demonstrated the value of our framework in vulnerability assessment and revealed the role of vulnerability in shaping community infection by COVID-19.
新冠疫情仍在持续威胁全球公共卫生。因此,对社区脆弱性进行可靠评估对于抗击和缓解疫情至关重要。本研究提出了一个框架,该框架考虑了内部和外部因素的作用,包括社会脆弱性、暴露和敏感性的组成部分,以全面、准确地评估社区对疫情的脆弱性。关于内部因素,我们使用人口普查数据总结了人群的固有社会特征,并探讨了总体社会脆弱性和四个主要主题社会脆弱性在塑造新冠疫情社区感染方面的作用。然后,我们设计了两个外部因素来表征暴露和敏感性,并通过将它们与内部社会脆弱性相乘来进行汇总,以实现全面的脆弱性评估。通过统计和空间分析以及使用既定规则进行风险因素分类,评估了估计的脆弱性在塑造社区感染方面的作用。香港的这个案例研究证明了我们的框架在脆弱性评估中的价值,并揭示了脆弱性在塑造新冠疫情社区感染方面的作用。