Published July 2012 | Version v1
Journal article

Global stability analysis of epidemiological models based on Volterra–Lyapunov stable matrices

  • 1. School of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing 400067 (China)
  • 2. Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA 23529 (United States)

Description

Highlights: ► Global dynamics of high dimensional dynamical systems. ► A systematic approach for global stability analysis. ► Epidemiological models of environment-dependent diseases. - Abstract: In this paper, we study the global dynamics of a class of mathematical epidemiological models formulated by systems of differential equations. These models involve both human population and environmental component(s) and constitute high-dimensional nonlinear autonomous systems, for which the global asymptotic stability of the endemic equilibria has been a major challenge in analyzing the dynamics. By incorporating the theory of Volterra–Lyapunov stable matrices into the classical method of Lyapunov functions, we present an approach for global stability analysis and obtain new results on some three- and four-dimensional model systems. In addition, we conduct numerical simulation to verify the analytical results.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2012.03.009

Additional details

Identifiers

DOI
10.1016/j.chaos.2012.03.009;
PII
S0960-0779(12)00082-3;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
45
Journal Issue
7
Journal Page Range
p. 966-977
ISSN
0960-0779

INIS

Optional Information

Copyright
Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.