College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China.
Comput Intell Neurosci. 2022 Jan 18;2022:4149477. doi: 10.1155/2022/4149477. eCollection 2022.
In order to control the spread of the COVID-19 virus, this study proposes an ARCN-SUTS (air railway composite network susceptible-untested-tested-susceptible) model based on the correlation characteristics of the air railway composite network in mainland China. Furthermore, this study also puts forward a broken-edge decision-making strategy for the purpose of making decision about the edge efficiently broken and avoiding the second outbreak of the virus spread to minimize the economic losses for railway and civil aviation companies. Finally, simulation results demonstrate that the proposed strategy can effectively control the spread of the virus with minimal economic losses.
为了控制 COVID-19 病毒的传播，本研究基于中国大陆空铁复合网络的相关性特征，提出了一个 ARCN-SUTS（航空铁路复合网络易感-未检测-已检测-易感）模型。此外，本研究还提出了一种破边决策策略，旨在有效地进行边的断开，避免病毒传播的二次爆发，使铁路和民航公司的经济损失最小化。最后，仿真结果表明，所提出的策略可以有效地控制病毒的传播，同时使经济损失最小化。
