Analysis of the dynamics of anthrax epidemic model with delay

被引:5
|
作者
Raza, Ali [1 ,2 ,3 ]
Abdella, Kenzu [4 ]
机构
[1] Univ Chenab, Dept Phys Sci, Gujrat 50700, Pakistan
[2] Near East Univ, Math Res Ctr, Dept Math, Near East BoulevardNicosia,Mersin 10, TR-99138 Nicosia, Turkiye
[3] Lebanese Amer Univ, Dept Comp Sci & Math, Beirut 11022801, Lebanon
[4] Trent Univ, Dept Math, Appl Modelling Grad Program, Peterborough, ON, Canada
关键词
Anthrax disease; Delayed modeling; Reproduction number; Stability analysis; Results;
D O I
10.1007/s42452-024-05763-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Anthrax is a potentially fatal infectious zoonotic disease caused by the spore-forming bacterium Bacillus anthracis. While it is a disease of herbivores which primarily affects livestock and wildlife, it could also lead to serious and lethal infections in humans. Its large-scale outbreak could result in devastating economic impact related to losses in livestock and livestock products. Due to its ability to cause widespread disease and death, Anthrax has also become one of the numerous biological agents that is being considered in biowarfare and bioterrorism. Therefore, the modelling and analysis of Anthrax dynamics is crucial for the proper understanding of its prevention and control. In the present study, we investigate the nonlinear dynamics of Anthrax with delay effects which incorporates the mechanism of its incubation period. The sensitivity of the reproduction number dynamics with the model parameters is studied. The local and global stabilities of the model are studied. It is shown that the delay mechanism plays an important role in the dynamics of disease propagation. Mathematical considerations of a Susceptible-Infected (SI) delayed model to describe the propagation of Anthrax are proposed.We analytically derive the reproductive number and the equilibrium with and without anthrax. Necessary and sufficient conditions for the stability of the equilibria are mathematically established.The simulations confirm the analytical and numerical results derived in this work.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Dynamics of an SEIR epidemic model with nonlinear incidence and treatment rates
    Upadhyay, Ranjit Kumar
    Pal, Ashok Kumar
    Kumari, Sangeeta
    Roy, Parimita
    NONLINEAR DYNAMICS, 2019, 96 (04) : 2351 - 2368
  • [32] A fractional order epidemic model and simulation for avian influenza dynamics
    Ye, Xingyang
    Xu, Chuanju
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2019, 42 (14) : 4765 - 4779
  • [33] Propagation Dynamics of a Periodic Epidemic Model on Weighted Interconnected Networks
    Xu, Zhongpu
    Wang, Yu
    Wu, Naiqi
    Fu, Xinchu
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2020, 7 (03): : 1545 - 1556
  • [34] Dynamics of an SEIR epidemic model with nonlinear incidence and treatment rates
    Ranjit Kumar Upadhyay
    Ashok Kumar Pal
    Sangeeta Kumari
    Parimita Roy
    Nonlinear Dynamics, 2019, 96 : 2351 - 2368
  • [35] Stability and optimal control analysis for studying the transmission dynamics of a fractional-order MSV epidemic model
    Ali, Hegagi Mohamed
    Ameen, Ismail Gad
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2023, 434
  • [36] Global dynamics and bifurcation analysis of a fractional-order SEIR epidemic model with saturation incidence rate
    Naik, Parvaiz Ahmad
    Ghori, Muhammad Bilal
    Zu, Jian
    Eskandari, Zohre
    Naik, Mehraj-ud-din
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2022, 45 (07) : 3665 - 3688
  • [37] On the dynamics of SEIRS epidemic model with transport-related infection
    Denphedtnong, Adisak
    Chinviriyasit, Settapat
    Chinviriyasit, Wirawan
    MATHEMATICAL BIOSCIENCES, 2013, 245 (02) : 188 - 205
  • [38] Dynamics of a fractional time-delay smoking model
    Sun, Wenjuan
    2ND INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, MODELLING, AND INTELLIGENT COMPUTING (CAMMIC 2022), 2022, 12259
  • [39] Dynamical analysis of an anthrax disease model in animals with nonlinear transmission rate
    Kashyap, Ankur Jyoti
    Bordoloi, Arnab Jyoti
    Mohan, Fanitsha
    Devi, Anuradha
    MATHEMATICAL MODELLING AND CONTROL, 2023, 3 (04): : 370 - 386
  • [40] DYNAMICAL ANALYSIS OF A CLASS OF MONKEYPOX EPIDEMIC MODEL
    Liu, Guyue
    Li, Huilai
    THERMAL SCIENCE, 2024, 28 (4B): : 3367 - 3383