具有自我保护和隔离措施的传染病模型动力学分析
Dynamic Analysis of Epidemic Models with Self-Protection and Isolation Measures
DOI: 10.12677/AAM.2023.1212491, PDF,    科研立项经费支持
作者: 郝江波, 马扬军*:重庆交通大学数学与统计学院,重庆
关键词: COVID-19基本再生数Lyapunov函数全局渐近稳定自我保护COVID-19 Basic Reproduction Number Lyapunov Function Global Asymptomatically Self-Protection
摘要: 该文建立并分析具有自我保护和隔离措施的传染病动力学模型,通过计算基本再生数并构造Lyapunov函数讨论了模型平衡点的稳定性。证明了当R0<1时,无病平衡点是全局渐近稳定的;当R0>1时,地方病平衡点是全局渐近稳定的。利用重庆市2022年11月1日到11月25日的COVID-19病例数据进行拟合,根据数值分析得到:加强对感染者的隔离措施可以在一定程度上控制疫情,但是增强个体的自我保护措施可以更加有效地减少被感染的风险和控制疫情的传播,更利于实际应用。
Abstract: The paper develops and analyzes an epidemic dynamics model with self-protection and isolation measures, and discusses the stability of the model equilibrium point by calculating the basic re-generation number and constructing a Lyapunov function. It is proved that the disease-free equilib-rium point is globally asymptotically stable when R0<1 ; when 当R0>1 , the endemic equilibrium point is globally asymptotically stable. Using the data of COVID-19 cases from November 1 to No-vember 25, 2022 in Chongqing Municipality for fitting, according to the numerical analysis, we ob-tained that: strengthening the isolation measures for infected people can control the epidemic to a certain extent, but enhancing the self-protection measures of individuals can be more effective in reducing the risk of being infected and controlling the spread of the epidemic, which is more condu-cive to the practical application.
文章引用:郝江波, 马扬军. 具有自我保护和隔离措施的传染病模型动力学分析[J]. 应用数学进展, 2023, 12(12): 4998-5009. https://doi.org/10.12677/AAM.2023.1212491

参考文献

[1] Cohen, J. and Normile, D. (2020) New SARS-Like Virus in China Triggers Alarm. American Association for the Ad-vancement of Science, 367, 234-235. [Google Scholar] [CrossRef] [PubMed]
[2] Thomas, S.J., Moreira Jr., E.D., Kitchin, N., et al. (2021) Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine through 6 Months. New England Journal of Medicine, 385, 1761-1773. [Google Scholar] [CrossRef
[3] 张菊平, 李云, 姚美萍, 等. 武汉市COVID-19疫情与易感人群软隔离强度关系分析[J]. 应用数学学报, 2020, 43(2): 162-173.
[4] Yuan, R., Ma, Y., Shen, C., et al. (2021) Global Dynamics of COVID-19 Epidemic Model with Reces-sive Infection and Isolation. Mathematical Biosciences and Engineering, 18, 1833-1844. [Google Scholar] [CrossRef] [PubMed]
[5] Song, H., Wang, R., Liu, S., et al. (2022) Global Stability and Optimal Control for a COVID-19 Model with Vaccination and Isolation Delays. Results in physics, 42, Article ID: 106011. [Google Scholar] [CrossRef] [PubMed]
[6] Huo, H.-F., Hu, S.-K. and Xiang, H. (2021) Traveling Wave Solu-tion for a Diffusion SEIR Epidemic Model with Self-Protection and Treatment. Electronic Research Archive, 29, 2325-2358. [Google Scholar] [CrossRef
[7] 丰利香, 王德芬. 具有隔离和不完全治疗的传染病模型的全局稳定性[J]. 数学物理学报, 2021, 41(4): 1235-1248.
[8] Wang, X., Liang, Y., Li, J., et al. (2023) Modeling COVID-19 Transmission Dynamics Incorporating Media Coverage and Vaccination. Mathematical Biosciences and En-gineering, 20, 10392-10403. [Google Scholar] [CrossRef] [PubMed]
[9] Hu, L. and Nie, L. (2021) Dynamic Mod-eling and Analysis of COVID-19 in Different Transmission Process and Control Strategies. Mathematical Methods in the Applied Sciences, 44, 1409-1422. [Google Scholar] [CrossRef
[10] Van den Driessche, P. and Watmough, J. (2002) Reproduction Numbers and Sub-Threshold Endemic Equilibria for Compartmental Models of Disease Trans-mission. Mathematical Biosciences, 180, 29-48. [Google Scholar] [CrossRef
[11] La Salle, J.P. (1994) The Stability of Dynamical Systems. Society for Industrial and Applied Mathematics, Philadelphia.