2019年冠状病毒病(COVID-19)
感染风险
爆发
地理
感染风险
人口
业务
风险分析(工程)
环境卫生
医学
计算机科学
病毒学
传染病(医学专业)
疾病
重症监护医学
生物
病理
遗传学
作者
Mingliang Liu,Shuo Yu,Xinbei Chu,Feng Xia
出处
期刊:2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
日期:2020-12-16
标识
DOI:10.1109/csde50874.2020.9411559
摘要
The outbreak of COVID-19 has brought incalculable economy and life losses. Accurately assessing the risk of a certain city can help formulate effective measures to prevent and control COVID-19 in time. It will be of great significance for us to measure city risk in infection amid epidemics. City risk in infection is related to many factors. To address this problem, this paper proposes city risk index (CRI) to measure city risk in infection, considering the following four perspectives: economy (i.e., GDP and FCI), technology (i.e., education and innovation), population, and geographical position (i.e., latitude and longitude). The experimental results show that CRI can be effectively employed to measure city risk in infection amid COVID-19 as well as other similar epidemics. The proposed CRI can be used to guide policymakers for better emergency management policies making when coping with COVID-19.
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