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Kumar, G, Ramesh, K, Nisar, Kottakkaran. (1402). Dynamics of an SEIR epidemic model with saturated incidence rate including stochastic influence. سامانه مدیریت نشریات علمی, 12(2), 350-360. doi: 10.22034/cmde.2023.56544.2365
G Kumar; K Ramesh; Kottakkaran Sooppy Nisar. "Dynamics of an SEIR epidemic model with saturated incidence rate including stochastic influence". سامانه مدیریت نشریات علمی, 12, 2, 1402, 350-360. doi: 10.22034/cmde.2023.56544.2365
Kumar, G, Ramesh, K, Nisar, Kottakkaran. (1402). 'Dynamics of an SEIR epidemic model with saturated incidence rate including stochastic influence', سامانه مدیریت نشریات علمی, 12(2), pp. 350-360. doi: 10.22034/cmde.2023.56544.2365
Kumar, G, Ramesh, K, Nisar, Kottakkaran. Dynamics of an SEIR epidemic model with saturated incidence rate including stochastic influence. سامانه مدیریت نشریات علمی, 1402; 12(2): 350-360. doi: 10.22034/cmde.2023.56544.2365

Dynamics of an SEIR epidemic model with saturated incidence rate including stochastic influence

Computational Methods for Differential Equations
مقاله 11، دوره 12، شماره 2، خرداد 2024، صفحه 350-360    اصل مقاله (634.89 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22034/cmde.2023.56544.2365
نویسندگان
G Kumar1؛ K Ramesh1؛ Kottakkaran Sooppy Nisar* 2
1Department of Mathematics, Anurag University, Venkatapur, Hyderabad-500088, Telangana, India.
2Department of Mathematics, College of Science and Humanities in Alkharj, Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia.
چکیده
This paper aims to develop a stochastic perturbation into SEIR (Susceptible-Exposed-Infected-Removed) epidemic model including a saturated estimated incidence. A set of stochastic differential equations is used to study its behavior, with the assumption that each population’s exposure to environmental unpredictability is represented by noise terms. This kind of randomness is considerably more reasonable and realistic in the proposed model. The current study has been viewed as strengthening the body of literature because there is less research on the dynamics of this kind of model. We discussed the structure of all equilibriums’ existence and the dynamical behavior of all the steady states. The fundamental replication number for the proposed method was used to discuss the stability of every equilibrium point; if $R_0<1$, the infected free equilibrium is resilient, and if $R_0>1$, the endemic equilibrium is resilient. The system’s value is primarily described by its ambient stochasticity, which takes the form of Gaussian white noise. Additionally, the suggested model can offer helpful data for comprehending, forecasting, and controlling the spread of various epidemics globally. Numerical simulations are run for a hypothetical set of parameter values to back up our analytical conclusions. 
کلیدواژه‌ها
SEIR model؛ Basic reproduction number؛ Stochastic stability؛ White noise
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