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Global Dynamics of a Susceptible-Infectious-Recovered Epidemic Model with a Generalized Nonmonotone Incidence Rate

A susceptible-infectious-recovered (SIRS) epidemic model with a generalized nonmonotone incidence rate [Formula: see text] ([Formula: see text] such that [Formula: see text] for all [Formula: see text] ) is considered in this paper. It is shown that the basic reproduction number [Formula: see text]...

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Detalles Bibliográficos
Autores principales: Lu, Min, Huang, Jicai, Ruan, Shigui, Yu, Pei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322403/
https://www.ncbi.nlm.nih.gov/pubmed/32837121
http://dx.doi.org/10.1007/s10884-020-09862-3
Descripción
Sumario:A susceptible-infectious-recovered (SIRS) epidemic model with a generalized nonmonotone incidence rate [Formula: see text] ([Formula: see text] such that [Formula: see text] for all [Formula: see text] ) is considered in this paper. It is shown that the basic reproduction number [Formula: see text] does not act as a threshold value for the disease spread anymore, and there exists a sub-threshold value [Formula: see text] such that: (i) if [Formula: see text] , then the disease-free equilibrium is globally asymptotically stable; (ii) if [Formula: see text] , then there is a unique endemic equilibrium which is a nilpotent cusp of codimension at most three; (iii) if [Formula: see text] , then there are two endemic equilibria, one is a weak focus of multiplicity at least three, the other is a saddle; (iv) if [Formula: see text] , then there is again a unique endemic equilibrium which is a weak focus of multiplicity at least three. As parameters vary, the model undergoes saddle-node bifurcation, backward bifurcation, Bogdanov–Takens bifurcation of codimension three, Hopf bifurcation, and degenerate Hopf bifurcation of codimension three. Moreover, it is shown that there exists a critical value [Formula: see text] for the psychological effect [Formula: see text] , a critical value [Formula: see text] for the infection rate k, and two critical values [Formula: see text] for [Formula: see text] that will determine whether the disease dies out or persists in the form of positive periodic coexistent oscillations or coexistent steady states under different initial populations. Numerical simulations are given to demonstrate the existence of one, two or three limit cycles.