- Title
- CRI : measuring city infection risk amid COVID-19
- Creator
- Liu, Mingliang; Yu, Shuo; Chu, Xinbei; Xia, Feng
- Date
- 2020
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/176858
- Identifier
- vital:15196
- Identifier
-
https://doi.org/10.1109/CSDE50874.2020.9411559
- Identifier
- ISBN:9781665419741 (ISBN)
- Abstract
- 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. © 2020 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- 9411559
- Subject
- City Risk Index; COVID-19; Regression Analysis; RMSE
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