Literature DB >> 34922174

Extinction and stationary distribution of a stochastic COVID-19 epidemic model with time-delay.

Rukhsar Ikram1, Amir Khan2, Mostafa Zahri3, Anwar Saeed4, Mehmet Yavuz5, Poom Kumam6.   

Abstract

We reformulate a stochastic epidemic model consisting of four human classes. We show that there exists a unique positive solution to the proposed model. The stochastic basic reproduction number R0s is established. A stationary distribution (SD) under several conditions is obtained by incorporating stochastic Lyapunov function. The extinction for the proposed disease model is obtained by using the local martingale theorem. The first order stochastic Runge-Kutta method is taken into account to depict the numerical simulations.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Brownian motion; Delay; Extinction; Stationary distribution; Stochastic SIVR model

Mesh:

Year:  2021        PMID: 34922174      PMCID: PMC8654723          DOI: 10.1016/j.compbiomed.2021.105115

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  1 in total

1.  Predicting the spread of COVID-19 with a machine learning technique and multiplicative calculus.

Authors:  Bülent Bilgehan; Ali Özyapıcı; Zakia Hammouch; Yusuf Gurefe
Journal:  Soft comput       Date:  2022-04-09       Impact factor: 3.732

  1 in total

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