Theoretical Analysis and Simulation of a Fractional-Order Compartmental Model with Time Delay for the Propagation of Leprosy

被引:1
|
作者
Iqbal, Zafar [1 ]
Ahmed, Nauman [1 ]
Macias-Diaz, Jorge E. E. [2 ,3 ]
机构
[1] Univ Lahore, Dept Math & Stat, Lahore 54590, Pakistan
[2] Tallinn Univ, Sch Digital Technol, Dept Math & Didact Math, Narva Rd 25, EE-10120 Tallinn, Estonia
[3] Univ Autonoma Aguascalientes, Dept Matemat & Fis, Ave Univ 940,Ciudad Univ, Aguascalientes 20131, Ags, Mexico
关键词
fractional epidemic model; leprosy infection with memory effects; non-standard finite-difference scheme; local and stability analyses; numerical simulations; EPIDEMIOLOGIC CONSEQUENCES; NEURAL-NETWORK; TUBERCULOSIS; BIFURCATIONS;
D O I
10.3390/fractalfract7010079
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This article investigates the propagation of a deadly human disease, namely leprosy. At the outset, the mathematical model is transformed into a fractional-order model by introducing the Caputo differential operator of arbitrary order. A result is established, which ensures the positivity of the fractional-order epidemic model. The stability of the continuous model at different points of equilibria is investigated. The basic reproduction number, R-0, is obtained for the leprosy model. It is observed that the leprosy system is locally asymptotically stable at both steady states when R-0 < 1. On the other hand, the fractional-order system is globally asymptotically stable when R-0 > 1. To find the approximate solutions for the continuous epidemic model, a non-standard numerical scheme is constructed. The main features of the non-standard scheme (such as positivity and boundedness of the numerical method) are also confirmed by applying some benchmark results. Simulations and a feasible test example are presented to discern the properties of the numerical method. Our computational results confirm both the analytical and the numerical properties of the finite-difference scheme.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Global stability analysis of fractional-order gene regulatory networks with time delay
    Wu, Zhaohua
    Wang, Zhiming
    Zhou, Tiejun
    [J]. INTERNATIONAL JOURNAL OF BIOMATHEMATICS, 2019, 12 (06)
  • [42] Global stability analysis of fractional-order Hopfield neural networks with time delay
    Wang, Hu
    Yu, Yongguang
    Wen, Guoguang
    Zhang, Shuo
    Yu, Junzhi
    [J]. NEUROCOMPUTING, 2015, 154 : 15 - 23
  • [43] Finite-time stability analysis of fractional-order neural networks with delay
    Yang, Xujun
    Song, Qiankun
    Liu, Yurong
    Zhao, Zhenjiang
    [J]. NEUROCOMPUTING, 2015, 152 : 19 - 26
  • [44] Stability analysis for fractional-order neural networks with time-varying delay
    Wang, Feng-Xian
    Zhang, Jie
    Shu, Yan-Jun
    Liu, Xin-Ge
    [J]. ASIAN JOURNAL OF CONTROL, 2023, 25 (02) : 1488 - 1498
  • [45] Stabilization of fractional-order unstable delay systems by fractional-order controllers
    Kheirizad, Iraj
    Jalali, Ali Akbar
    Khandani, Khosro
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2012, 226 (I9) : 1166 - 1173
  • [46] Fractional-order rumor propagation model with memory effect
    Xu Gao
    Fengming Liu
    Chang Liu
    [J]. Social Network Analysis and Mining, 2022, 12
  • [47] Fractional-order rumor propagation model with memory effect
    Gao, Xu
    Liu, Fengming
    Liu, Chang
    [J]. SOCIAL NETWORK ANALYSIS AND MINING, 2022, 12 (01)
  • [48] Simulation of Wave Propagation in Media Described by Fractional-Order Models
    Stefanski, Tomasz P.
    Gulgowski, Jacek
    [J]. 2020 23RD INTERNATIONAL MICROWAVE AND RADAR CONFERENCE (MIKON 2020), 2020, : 34 - 39
  • [49] Simulation of Signal Propagation Along Fractional-Order Transmission Lines
    Stefanski, Tomasz P.
    Trofimowicz, Damian
    Gulgowski, Jacek
    [J]. PROCEEDINGS OF 2020 27TH INTERNATIONAL CONFERENCE ON MIXED DESIGN OF INTEGRATED CIRCUITS AND SYSTEM (MIXDES), 2020, : 164 - 167
  • [50] Stability Analysis of Fractional-Order Nonlinear Systems with Delay
    Wang, Yu
    Li, Tianzeng
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014