Di Giamberardino Paolo, Iacoviello Daniela
Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy.
Biomed Signal Process Control. 2021 Mar;65:102325. doi: 10.1016/j.bspc.2020.102325. Epub 2020 Nov 26.
The paper presents a new mathematical model for the SARS-CoV-2 virus propagation, designed to include all the possible actions to prevent the spread and to help in the healing of infected people. After a discussion on the equilibrium and stability properties of the model, the effects of each different control actions on the evolution of the epidemic spread are analysed, through numerical evaluations for a more intuitive and immediate presentation, showing the consequences on the classes of the population.
本文提出了一种针对SARS-CoV-2病毒传播的新数学模型,旨在纳入所有可能的预防传播及帮助感染者康复的措施。在讨论了该模型的平衡和稳定性特性之后,通过数值评估进行更直观和直接的展示,分析了每种不同控制措施对疫情传播演变的影响,展示了其对不同人群类别的后果。