期刊文献+

受媒体报道和治疗影响的传染病模型的最优控制分析

Optimal Control Analysis of Infectious Disease Model Affected by Media Coverage and Treatment
下载PDF
导出
摘要 首先,建立了一个具有治疗措施和媒体报道的传染病模型,证明了无病平衡点的全局稳定性,分析了地方病平衡点的存在性及其局部稳定性,并给出了疾病的持久性.其次,为了减少感染者的数量并降低媒体报道和治疗过程中的经济成本,建立了传染病最优控制模型,利用最优控制理论分析了使经济成本最低且感染者人数最少的最优控制方法.最后,通过数值模拟分析了最优控制措施对疾病传播的影响.研究结果表明,对传染病只采取单一的控制措施是远远不够的,多种控制措施相结合才是抑制传染病流行的最佳策略. Firstly,an infectious disease model with treatment measures and media reports is established,the global stability of the disease-free equilibrium is proved,the existence and local stability of the endemic equilibrium are analyzed,and the persistence of the disease is also given.Then,in order to reduce the number of infected persons and the economic costs in the process of media reports and treatment measures,the optimal control model of infectious diseases is established.The optimal control method to minimize the economic costs and the number of infected persons is analyzed by using the optimal control theory.Finally,the influence of the optimal control measures on the spread of diseases is analyzed by numerical simulations.It shows that it is far from enough to take a single control measure for infectious diseases,and the combination of multiple control measures is the best strategy to curb the prevalence of diseases.
作者 刘中凯 刘俊利 刘白茹 Liu Zhongkai;Liu Junli;Liu Bairu(School of Science,Xi’an Polytechnic University,Xi’an 710048,China)
出处 《宁夏大学学报(自然科学版)》 CAS 2023年第3期212-218,共7页 Journal of Ningxia University(Natural Science Edition)
基金 陕西省自然科学基础研究计划资助项目(2021JM-445) 西安工程大学研究生创新基金资助项目(chx2021033)。
关键词 媒体报道 治疗 稳定性 微分方程 持久性 最优控制 media coverage treatment stability differential equation persistence optimum control
  • 相关文献

参考文献4

二级参考文献29

  • 1Kermark W O, McKendrick A G. A contributions to the mathematical theory of epidemics[J]. Proceedings of the Royal Society of London, Series A, 1927, 115(772): 700-721.
  • 2Kar T K, Batabyal A. Stability analysis and optimal control of an SIR epidemic model with vaccination[J]. Biosystems, 2011, 104(2-3): 127-135.
  • 3Cao H, Zhou Y C. The discrete age-structured SEIT model with application to tuberculosis transmission in China[J]. Mathematical and Computer Modelling, 2012, 55(3-4): 385-395.
  • 4Kiss I Z, etal. The impact of information transmission on epidemic outbreaks[J]. Mathematical Biosciences, 2010, 225(1): 1-10.
  • 5Cui J A. Sun Y H, Zhu H P. The impact of media on the control of infectious disease[J]. Journal of Dynamics and Differential Equations, 2008, 20(1): 31-53.
  • 6D'onofrio A, Manfredi P. Information-related changes in contact patterns may trigger oscillations in the endemic prevalence of infectious diseases[J]. Journal of Theoretical Biology, 2009, 256(3): 473-478.
  • 7Bowong S. Optimal control of the transmission dynamics of tuberculosis[J]. Nonlinear Dynamics, 2010, 61(4): 729-748.
  • 8Whang S, Choi S, Jung E. A dynamic model for tuberculosis transmission and optimal treatment strategies in South Korea[J]. Journal of Theoretical Biology, 2011, 279(1): 120-131.
  • 9van den Driessche P, Watmough J. Reproduction numbers and sub-threshold endemic equilibria for com- partmental models of disease transmission[J]. Mathematical Biosciences, 2002, 180(1-2): 29-48.
  • 10Zhao X Q. Dynamical Systems in Population Biology[M]. New York: Springer-Verlag, 2003.

共引文献15

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部