一类具有传播媒介的SIS传染病模型的动力学性态分析
Dynamic Behavior Analysis of a Class of SIS Infectious Disease Models with Vectors
摘要: 随着传媒技术的进步和成熟,媒体对疾病疫情的报道产生的影响已经成为人们预防和控制疾病传播不可忽略的因素之一。文中考虑了疾病信息意识影响,建立了一个新的具有媒介影响的SIS传染病模型。首先,对建立的具有媒介影响的新的SIS传染病模型讨论了无病平衡点和地方病平衡点的存在性和基本再生数。其次,应用Routh-Hurwitz判别准则分别证明了无病平衡点和地方病平衡点的局部渐近稳定性的满足条件。紧接着构造了恰当Lyapunov函数并结合LaSalle不变原理,分别讨论了无病平衡点和地方病平衡点在不同阈值条件下的全局渐近稳定性。最后进行了数值模拟,验证在不同阈值条件下系统的稳定性,比较参数在不同取值时平衡点的变化,分析传染病的发展规律。数值模拟的结果与理论分析的结果是吻合的。
Abstract: With the progress and maturity of media technology, the influence of media on the report of disease has become one of the factors that can not be ignored for people to prevent and control the spread of disease. In this paper, a new SIS infectious disease model with vector influence is established by considering the influence of disease information awareness. First, the existence and basic regeneration numbers of disease-free equilibrium and endemic equilibrium points are discussed for a new model of SIS infectious disease with vector influence. Secondly, the routh-Hurwitz criterion is applied to prove the local asymptotic stability of disease-free equilibrium and endemic equilibrium. Then an appropriate Lyapunov function is constructed and LaSalle invariance princi-ple is used to discuss the global asymptotic stability of disease-free equilibrium and endemic equi-librium under different threshold conditions. Finally, numerical simulation is carried out to verify the stability of the system under different threshold conditions, compare the changes of equilibri-um point when the parameters are different values, and analyze the development law of infectious diseases. The results of numerical simulation agree well with those of theoretical analysis.
文章引用:代林烽, 陈龙伟. 一类具有传播媒介的SIS传染病模型的动力学性态分析[J]. 理论数学, 2023, 13(2): 294-306. https://doi.org/10.12677/PM.2023.132033

参考文献

[1] 谢丽. 一类具有接种和非线性发生率的传染病模型稳定性分析[D]: [硕士学位论文]. 信阳: 信阳师范学院, 2018.
[2] 罗百良. 几类微分方程模型定性与稳定性分析[D]: [硕士学位论文]. 长沙: 湖南大学, 2013.
[3] Kermack, W.O. and McKendrick, A.G. (1927) A Contribution to the Mathematical Theory of Epidemics. Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character, 115, 700-721. [Google Scholar] [CrossRef
[4] Liu, R., Wu, J. and Zhu, H. (2007) Media/Psychological Impact on Multiple Outbreaks of Emerging Infectious Diseases. Computational and Mathematical Methods in Medicine, 8, 153-164. [Google Scholar] [CrossRef
[5] 王宝童, 王稳地. 流感传播数学模型的基本再生数[J]. 西南大学学报(自然科学版), 2013, 35(5): 84-88.
[6] 崔景安, 叶萌, 宋国华, 等. 北京市手足口病的流行趋势预测[J]. 生物数学学报, 2014(1): 131-135.
[7] Wang, A. and Xiao, Y. (2014) A Filippov System Describing Media Effects on the Spread of Infectious Diseases. Nonlinear Analysis: Hybrid Systems, 11, 84-97. [Google Scholar] [CrossRef
[8] 常玉婷. 疾病信息意识影响的几类传染病模型研究[D]: [硕士学位论文]. 太原: 中北大学, 2017.
[9] Misra, A.K., Sharma, A. and Shukla, J.B. (2011) Modeling and Analysis of Effects of Awareness Programs by Media on the Spread of Infectious Diseases. Mathematical and Computer Modelling, 53, 1221-1228. [Google Scholar] [CrossRef
[10] Smith, H.L. (2008) Monotone Dynamical Systems: An Introduc-tion to the Theory of Competitive and Cooperative Systems. American Mathematical Society, Providence. [Google Scholar] [CrossRef
[11] 毛红艳. 一类离散SIS传染病模型的动力学性态分析[D]: [硕士学位论文]. 西安: 陕西科技大学, 2017.
[12] 王星. 几类传染病模型的稳定性分析[D]: [硕士学位论文]. 太原: 中北大学, 2017.
[13] 白娟. 两类传染病模型的稳定性分析[D]: [硕士学位论文]. 临汾: 山西师范大学, 2018.
[14] 周康. 几类传染病模型动力学问题研究[D]: [硕士学位论文]. 杭州: 浙江理工大学, 2018.
[15] 曹琨, 樊玲玲. 非线性系统稳定性的Liapunov判别法[J]. 新乡学院学报(自然科学版), 2012, 29(1): 52-53.
[16] 闫卫平, 吴素赟. 带有治疗项的SIS反应扩散传染病模型动力学分析[J]. 河北科技大学学报, 2015, 36(6): 587-592.
[17] Lehnigk, S.H. (1970) On the Hurwitz Matrix. Zeitschrift Für Angewandte Mathematik Und Physik Zamp, 21, 498-500. [Google Scholar] [CrossRef
[18] Agaba, G.O., Kyrychko, Y.N. and Blyuss, K.B. (2017) Time-Delayed SIS Epidemic Model with Population Awareness. Ecological Complexity, 31, 50-56. [Google Scholar] [CrossRef
[19] 杜鹏, 段彩霞, 廖新元. 一类具logistic出生率的SIS传染病模型的全局稳定性[J]. 陕西科技大学学报(自然科学版), 2014, 32(4): 167-171.
[20] 王拉娣. 具有非线性传染率的两类传染病模型的全局分析[J]. 工程数学学报, 2005(4): 640-644.
[21] 李建全, 于斌, 杨亚莉, 杨友社. 一类带有种群迁移的SIS传染病模型的全局分析[J]. 数学的实践与认识, 2009, 39(15): 114-121.
[22] 杜艳可, 徐瑞, 段立江. 一类具有标准发生率的SIS传染病模型的全局稳定性[J]. 数学的实践与认识, 2009, 39(10): 140-144.
[23] 赵亚飞, 苏强, 吕贵臣. 一类SEIR流行病模型的全局稳定性分析[J]. 重庆理工大学学报(自然科学), 2018, 32(5): 225-228+235.
[24] Fushimi, K., Enatsu, Y. and Ishiwata, E. (2018) Global Stability of an SIS Epidemic Model with Delays. Mathematical Methods in the Applied Sciences, 41, 5345-5354. [Google Scholar] [CrossRef