90005744

open access

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COMPETITIVE EXCLUSION IN A MULTI-STRAIN SIS EPIDEMIC MODEL ON COMPLEX NETWORKS

English (英語)

Electronic Journal of Differential Equations

2019(06)

1-30

Texas State University, Department of Mathematics

2019-01-14

2019-03-27

In this article, we propose an infection age-structured multi-strain SIS epidemic model on complex networks. We obtain the reproduction numbers for each strain by using the classical theory of renewal equations, and we define the basic reproduction number R-0 for the whole system by the maximum of them. We prove that if R-0 < 1, then the disease-free equilibrium of the model is globally asymptotically stable, whereas if R-0 > 1, then there exists an endemic equilibrium in which only one strain with the largest reproduction number survives. Moreover, under an additional assumption that the recovery rate is homogeneous, we prove that such an endemic equilibrium is globally asymptotically stable. Interestingly, our theoretical results imply that the competitive exclusion can occur in a sense that only one strain with the largest reproduction number survives.

competitive exclusion

学術雑誌論文

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