Literature DB >> 29564532

Traveling wave solutions in a two-group SIR epidemic model with constant recruitment.

Lin Zhao1,2, Zhi-Cheng Wang1, Shigui Ruan3.   

Abstract

Host heterogeneity can be modeled by using multi-group structures in the population. In this paper we investigate the existence and nonexistence of traveling waves of a two-group SIR epidemic model with time delay and constant recruitment and show that the existence of traveling waves is determined by the basic reproduction number [Formula: see text] More specifically, we prove that (i) when the basic reproduction number [Formula: see text] there exists a minimal wave speed [Formula: see text] such that for each [Formula: see text] the system admits a nontrivial traveling wave solution with wave speed c and for [Formula: see text] there exists no nontrivial traveling wave satisfying the system; (ii) when [Formula: see text] the system admits no nontrivial traveling waves. Finally, we present some numerical simulations to show the existence of traveling waves of the system.

Keywords:  Basic reproduction number; Constant recruitment; Time delay; Traveling wave solutions; Two-group epidemic model

Mesh:

Year:  2018        PMID: 29564532     DOI: 10.1007/s00285-018-1227-9

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


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3.  Modeling spatial spread of infectious diseases with a fixed latent period in a spatially continuous domain.

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5.  A core group model for disease transmission.

Authors:  K P Hadeler; C Castillo-Chavez
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6.  Diffusion epidemic models with incubation and crisscross dynamics.

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7.  Host heterogeneity in susceptibility and disease dynamics: tests of a mathematical model.

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