Literature DB >> 19299417

Global asymptotic properties of virus dynamics models with dose-dependent parasite reproduction and virulence and non-linear incidence rate.

Andrei Korobeinikov1.   

Abstract

We consider two models for the spread of an infection with a free-living infective stage, where parasite reproduction and virulence (parasite-induced mortality) depend on the parasite dose to which the host is exposed and are given by unspecified non-linear functions of the number of the free pathogen particles, and the incidence rate is non-linear. We study the impact of these non-linearities with the focus on the global properties of these models. We consider a very general form of the non-linearities: we assume that the virulence and the parasite reproduction rates are given by unspecified non-linear functions of the number of the free pathogen particles and that the incidence rate is an unspecified function of the number of susceptible hosts and free pathogen particles; all these functions are constrained by a few biologically feasible conditions. We construct Lyapunov functions that enable us to find biologically realistic conditions which are sufficient to ensure existence and uniqueness of a globally asymptotically stable equilibrium state. Depending on the value of the basic reproduction number, this equilibrium state can be either positive, where parasite endemically persists, or infection free.

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Year:  2009        PMID: 19299417     DOI: 10.1093/imammb/dqp006

Source DB:  PubMed          Journal:  Math Med Biol        ISSN: 1477-8599            Impact factor:   1.854


  2 in total

1.  Global analysis on delay epidemiological dynamic models with nonlinear incidence.

Authors:  Gang Huang; Yasuhiro Takeuchi
Journal:  J Math Biol       Date:  2010-09-26       Impact factor: 2.259

2.  A Novel Dynamic Model Describing the Spread of the MERS-CoV and the Expression of Dipeptidyl Peptidase 4.

Authors:  Siming Tang; Wanbiao Ma; Peifan Bai
Journal:  Comput Math Methods Med       Date:  2017-08-15       Impact factor: 2.238

  2 in total

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