Skip to main navigation Skip to search Skip to main content

Numerical analysis of an age-structured model for HIV viral dynamics with latently infected T cells based on collocation methods

  • School of Mathematics, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we consider the numerical threshold for an age-structured HIV model with latently infected T cells. Based on the continuous collocation methods, a semi-discrete scheme is constructed by discretizing the age variable and a numerical basic reproduction number Rh is provided. With the study of higher-order convergence to the real basic reproduction number R0, the relations between Rh and local stability of disease-free are presented. From the viewpoint of full discretization, an equivalent block-Leslie matrix expression is obtained by embedding into a piecewise-discontinuous polynomial space rather than the piecewise-continuous polynomial space. An implicit full-discrete scheme is considered based on a linearly implicit Euler (IMEX) method, of which the computational cost is almost the same as an explicit scheme. It is more important that the dynamical behavior of the age-semi-discretization system is also preserved for any time step whenever Rh is the threshold for the numerical dynamical system of the age-semi-discretization. Finally, numerical applications are shown to HIV models to illustrate our analysis.

Original languageEnglish
Pages (from-to)289-305
Number of pages17
JournalMathematics and Computers in Simulation
Volume230
DOIs
StatePublished - Apr 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Age-structured HIV model with latently infected T cells
  • Basic reproduction number
  • Collocation methods
  • Numerical threshold
  • Stability

Fingerprint

Dive into the research topics of 'Numerical analysis of an age-structured model for HIV viral dynamics with latently infected T cells based on collocation methods'. Together they form a unique fingerprint.

Cite this