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Dynamics of a Stochastic Virus Infection Model with Delayed Immune Response

  • Deshun Sun
  • Siyuan Chen
  • Fei Liu
  • Jizhuang Fan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10955)

Abstract

Patients are always affected by external environmental noises and random fluctuations inside bodies. Considering this, in this paper we propose a stochastic virus infection model with delayed immune response, which consists of a system of four-dimensional stochastic delayed equations. We verify that there is a unique global positive solution for this model with any positive initial value, and establish the sufficient conditions for extinction and persistence of the model. Further, we perform a couple of numerical simulations to illustrate our theoretical analysis results.

Keywords

Virus infection Stochastic delayed model Extinction, persistence 

Notes

Acknowledgments

We thank the support of the NSFC (51675124, 61273226) and Science and Technology Program of Guangzhou, China (201804010246)

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Control and Simulation CenterHarbin Institute of TechnologyHarbinChina
  2. 2.School of Software EngineeringSouth China University of TechnologyGuangzhouChina
  3. 3.State Key Laboratory of Robotics and SystemHarbin Institute of TechnologyHarbinChina

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