Bifurcation Analysis of a Fractional-Order Simplicial SIRS System Induced by Double Delays

被引:18
|
作者
Zhou, Jiaying [1 ]
Zhao, Yi [1 ]
Ye, Yong [1 ]
Bao, Yixin [1 ]
机构
[1] Harbin Inst Technol Shenzhen, Sch Sci, Shenzhen 518055, Peoples R China
来源
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2022年 / 32卷 / 05期
关键词
Fractional order; double delays; stability; Hopf bifurcation; simplicial complexes; EPIDEMIC MODEL; GLOBAL DYNAMICS; STABILITY; CALCULUS; BEHAVIOR; CHAOS; PREY;
D O I
10.1142/S0218127422500687
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, a fractional-order susceptible-infected-recovered-susceptible (SIRS) model is studied, focusing on delay effects and high-order interactions. Two types of time delays are considered to describe latent period and healing cycle, respectively. From the ecological point of view, we found that the increasing delays caused by either the latent period or the healing cycle lead to the periodic outbreak of disease. The finding provided us with an important implication to preventing periodic outbreaks of disease by reducing the time delay, like accelerating the healing process with effective medication and medical intervention. Specifically, taking the time delays as bifurcation parameters, the stability of endemic equilibria and the existence of Hopf bifurcation are studied by analyzing the characteristic equation of the SIRS model. From a general point of view, based on the establishment of a fractional-order SIRS model, we found that the order of the fractional order is critical for describing the dynamic behavior of the model. Typically, the decrease of the order appears to bring about the disappearance of the periodic phenomenon (i.e. the periodic oscillation) of the originally stable system.
引用
收藏
页数:22
相关论文
共 50 条
  • [31] Dynamical complexity of a fractional-order neural network with nonidentical delays: Stability and bifurcation curves
    Mo, Shansong
    Huang, Chengdai
    Li, Huan
    Wang, Huanan
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2024, 47 (09) : 7764 - 7779
  • [32] Hopf bifurcation and chaos in fractional-order modified hybrid optical system
    Mohammed-Salah Abdelouahab
    Nasr-Eddine Hamri
    Junwei Wang
    Nonlinear Dynamics, 2012, 69 : 275 - 284
  • [33] Hopf bifurcation and chaos in fractional-order modified hybrid optical system
    Abdelouahab, Mohammed-Salah
    Hamri, Nasr-Eddine
    Wang, Junwei
    NONLINEAR DYNAMICS, 2012, 69 (1-2) : 275 - 284
  • [34] Optimal control and bifurcation analysis of a delayed fractional-order SIRS model with general incidence rate and delayed control
    Xu, Conghui
    Yu, Yongguang
    Ren, Guojian
    Si, Xinhui
    NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2024, 29 (05): : 890 - 913
  • [35] Feigenbaum's constants in reverse bifurcation of fractional-order Rossler system
    Li, Zengshan
    Chen, Diyi
    Ma, Mengmeng
    Zhang, Xinguang
    Wu, Yonghong
    CHAOS SOLITONS & FRACTALS, 2017, 99 : 116 - 123
  • [36] Hopf bifurcation of a fractional-order double-ring structured neural network model with multiple communication delays
    Li, Shuai
    Huang, Chengdai
    Yuan, Sanling
    NONLINEAR DYNAMICS, 2022, 108 (01) : 379 - 396
  • [37] Stability and Hopf bifurcation analysis in a fractional-order delayed paddy ecosystem
    Zhou, Xiaoli
    Wu, Zhaohua
    Wang, Zhiming
    Zhou, Tiejun
    ADVANCES IN DIFFERENCE EQUATIONS, 2018,
  • [38] Stability and Hopf bifurcation analysis in a fractional-order delayed paddy ecosystem
    Xiaoli Zhou
    Zhaohua Wu
    Zhiming Wang
    Tiejun Zhou
    Advances in Difference Equations, 2018
  • [39] Stability analysis of fractional-order Hopfield neural networks with time delays
    Wang, Hu
    Yu, Yongguang
    Wen, Guoguang
    NEURAL NETWORKS, 2014, 55 : 98 - 109
  • [40] Exploration of bifurcation and stability in a class of fractional-order super-double-ring neural network with two shared neurons and multiple delays
    Dai, Qinrui
    CHAOS SOLITONS & FRACTALS, 2023, 168