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Volume 11,Issue 2

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23 June 2026

Modeling and Nonlinear Dynamic Behavior Analysis of CD8+T Cell Antiviral Response System under Time Delay and Diffusion

Yijia Chen1*
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1 Yuxi Normal University, Yuxi 65310, Yunnan, China
JMDS 2026 , 11(2), 29–34; https://doi.org/10.18063/JMDS.v11i2.1992
© 2026 by the Author. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

CD8+T cells are virus-clearing core effector cells, and their response is regulated by viral latency and cell spatial migration, the former causing time delay and the latter causing spatial non-uniformity. Most existing models have dealt with these two factors in isolation, making it difficult to explain the coexistence of viral load oscillations and foci. This paper constructs a CD8+T cell antiviral response diffusion model coupled with time delay and diffusion, and analyzes its nonlinear dynamic behavior. Theoretical analysis shows that delayed viral replication and immune activation trigger Hopf bifurcation to oscillate viral load; The mismatch between the effect and the diffusion coefficient of the infected cells triggered the Turing bifurcation, forming a spatial pattern. In the overlapping area of parameters, delay and diffusion coupling produce behaviors such as traveling waves, essentially a double breaking of spatiotemporal translational symmetry. Numerical simulations verify the bifurcation critical conditions and give predictions. This study provides a unified framework for understanding the immune response of CD8+T cells and has reference value for infection prognosis and treatment.

Keywords
CD8+T cells
Time-delay reaction-diffusion system
Hopf bifurcation
Turing instability
Funding
Provincial Project - Yunnan Province Local Undergraduate Colleges (Part) Joint Special Project for Basic Research (Project No.: 202301BA070001-089)
References

[1] Li YZ, Zhang JG, 2020, Analysis of Dynamic Properties of Viral Infection Models with Time Delay and Diffusion. Mathematica Applicata, 33(2): 360–368.

[2] Wang F, Xu R, 2019, Stability and Hopf Bifurcation of a Viral Infection Model with Cellular Immunity and Time Delay. Mathematics in Practice and Theory, 49(11): 234–242.

[3] Li X, Chen SY, 2021, Dynamical Behavior of CTL Immune Virus Models with Time Delay and Diffusion Effect. Journal of Northwest Normal University (Natural Science), 57(3): 1–7.

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