<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JMDS</journal-id><journal-title-group><journal-title>Journal of Medicines Development Sciences</journal-title></journal-title-group><issn>2382-6363</issn><eissn>2382-6371</eissn><publisher><publisher-name>WHIOCE PUBLISHING PTE. LTD.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18063/JMDS.v11i2.1992</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Modeling and Nonlinear Dynamic Behavior Analysis of CD8+T Cell Antiviral Response System under Time Delay and Diffusion</title><url>https://artdesignp.com/journal/JMDS/11/2/10.18063/JMDS.v11i2.1992</url><author>ChenYijia</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>11</volume><issue>2</issue><history><date date-type="pub"><published-time>2026-06-23</published-time></date></history><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.</abstract><keywords>CD8+T cells,Time-delay reaction-diffusion system,Hopf bifurcation,Turing instability</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Li YZ, Zhang JG, 2020, Analysis of Dynamic Properties of Viral Infection Models with Time Delay and Diffusion. Mathematica Applicata, 33(2): 360&amp;ndash;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&amp;ndash;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&amp;ndash;7.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
