The dynamics and density function of a stochastic SEIW brucellosis model with Ornstein-Uhlenbeck process

被引:0
|
作者
Wen, Buyu [1 ]
Teng, Zhidong [2 ]
Nie, Linfei [3 ]
Li, Zhiming [3 ]
Cao, Hong [3 ]
机构
[1] Liaodong Univ, Sch Informat Engn, Dandong 118003, Liaoning, Peoples R China
[2] Xinjiang Med Univ, Coll Med Engn & Technol, Urumqi 830017, Xinjiang, Peoples R China
[3] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Xinjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Stochastic SEIW brucellosis model; Ornstein-Uhlenbeck process; stationary distribution; density function; extinction; TRANSMISSION DYNAMICS; SHEEP BRUCELLOSIS; JILIN PROVINCE; ERADICATION; NUMBER;
D O I
10.1142/S179352452450164X
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
A stochastic SEIW brucellosis model with Ornstein-Uhlenbeck process is investigated. In the model, we consider some of the realities of brucellosis transmission, such as the existence of incubation period and environmental pathogen contamination, and the spread of brucellosis also in incubation period and contaminated environment. The threshold values R0e and R0s for the stochastic extinction of the disease and the existence of a stationary distribution are established. Specifically, if R-0(e) < 1, then brucellosis almost surely exponentially dies out; otherwise, if R-0(s )> 1, then brucellosis is persistent in the mean, and the model also has ergodic property and at least one stationary distribution. Furthermore, when R-0 > 1, where R0 is the basic reproduction number of the corresponding deterministic model, the specific expression of an approximate normal density function around quasi-positive equilibrium is calculated. Finally, numerical examples are presented to illustrate the theoretical results, discuss the change of R0e with the main parameters beta 1, beta 2, alpha and l and examine the relationship between R0 and R0s. The specific expression of the marginal probability density function is obtained through a numerical simulation. The numerical simulation indicates that, in the real world, environmental interference may promote the spread of brucellosis.
引用
收藏
页数:47
相关论文
共 50 条
  • [1] Dynamics and density function of a stochastic differential infectivity epidemic model with Ornstein-Uhlenbeck process
    Shi, Zhenfeng
    Jiang, Daqing
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2023, 46 (05) : 6245 - 6261
  • [2] Dynamics and density function of a stochastic COVID-19 epidemic model with Ornstein-Uhlenbeck process
    Shi, Zhenfeng
    Jiang, Daqing
    NONLINEAR DYNAMICS, 2023, 111 (19) : 18559 - 18584
  • [3] Dynamics and Density Function of a Stochastic SICA Model of a Standard Incidence Rate with Ornstein-Uhlenbeck Process
    Wu, Zengchao
    Jiang, Daqing
    QUALITATIVE THEORY OF DYNAMICAL SYSTEMS, 2024, 23 (05)
  • [4] The stationary distribution and density function of a stochastic SIRB cholera model with Ornstein-Uhlenbeck process
    Wen, Buyu
    Liu, Qun
    JOURNAL OF MATHEMATICAL PHYSICS, 2024, 65 (02)
  • [5] Stationary distribution, density function and extinction of a stochastic SIQR epidemic model with Ornstein-Uhlenbeck process
    Yang, Ying
    Zhang, Jingwen
    Wang, Kaiyuan
    Zhang, Guofang
    CHAOS SOLITONS & FRACTALS, 2024, 184
  • [6] Threshold dynamics and density function of a stochastic epidemic model with media coverage and mean-reverting Ornstein-Uhlenbeck process
    Zhou, Baoquan
    Jiang, Daqing
    Han, Bingtao
    Hayat, Tasawar
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2022, 196 : 15 - 44
  • [7] Dynamics of a chemostat model with Ornstein-Uhlenbeck process and general response function
    Gao, Miaomiao
    Jiang, Daqing
    Ding, Jieyu
    CHAOS SOLITONS & FRACTALS, 2024, 184
  • [8] A stochastic turbidostat model with Ornstein-Uhlenbeck process: dynamics analysis and numerical simulations
    Xiaojie Mu
    Daqing Jiang
    Tasawar Hayat
    Ahmed Alsaedi
    Yunhui Liao
    Nonlinear Dynamics, 2022, 107 : 2805 - 2817
  • [9] A stochastic turbidostat model with Ornstein-Uhlenbeck process: dynamics analysis and numerical simulations
    Mu, Xiaojie
    Jiang, Daqing
    Hayat, Tasawar
    Alsaedi, Ahmed
    Liao, Yunhui
    NONLINEAR DYNAMICS, 2022, 107 (03) : 2805 - 2817
  • [10] Threshold behaviors and density function of a stochastic parasite-host epidemic model with Ornstein-Uhlenbeck process
    Zhang, Xiaoshan
    Zhang, Xinhong
    APPLIED MATHEMATICS LETTERS, 2024, 153