Hopf bifurcation analysis of pathogen-immune interaction dynamics with delay kernel

4Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

The aim of this paper is to study the steady states of the mathematical models with delay kernels which describe pathogen-immune dynamics of infectious diseases. In the study of mathematical models of infectious diseases it is important to predict whether the infection disappears or the pathogens persist. The delay kernel is described by the memory function that reflects the influence of the past density of pathogen in the blood and it is given by a nonnegative bounded and normated function k defined on [0, ∞). By using the coefficient of the kernel k, as a bifurcationparameter, the models are found to undergo a sequence of Hopf bifurcation. The direction and the stability criteria of bifurcation periodic solutions are obtained by applying the normal form theory and the center manifold theorems. Some numerical simulation examples for justifying the theoretical results are also given. © 2007 EDP Sciences.

Cite

CITATION STYLE

APA

Neamţu, M., Buliga, L., Horhat, F. R., & Opriş, D. (2007). Hopf bifurcation analysis of pathogen-immune interaction dynamics with delay kernel. Mathematical Modelling of Natural Phenomena, 2(1), 44–61. https://doi.org/10.1051/mmnp:2008010

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free