title: Multiparametric bifurcations of an epidemiological model with strong Allee effect.
abstract: In this paper we completely study bifurcations of an epidemic model with five parameters introduced by Hilker et al. (Am Nat 173:72-88, 2009), which describes the joint interplay of a strong Allee effect and infectious diseases in a single population. Existence of multiple positive equilibria and all kinds of bifurcation are examined as well as related dynamical behavior. It is shown that the model undergoes a series of bifurcations such as saddle-node bifurcation, pitchfork bifurcation, Bogdanov-Takens bifurcation, degenerate Hopf bifurcation of codimension two and degenerate elliptic type Bogdanov-Takens bifurcation of codimension three. Respective bifurcation surfaces in five-dimensional parameter spaces and related dynamical behavior are obtained. These theoretical conclusions confirm their numerical simulations and conjectures by Hilker et al., and reveal some new bifurcation phenomena which are not observed in Hilker et al. (Am Nat 173:72-88, 2009). The rich and complicated dynamics exhibit that the model is very sensitive to parameter perturbations, which has important implications for disease control of endangered species.
authors.affiliation: Department of Mathematics, Shanghai Jiao Tong University, Shanghai, 200240, China.
authors.forename: Linlin
authors.initials: L
authors.lastname: Cai
authors.forename: Guoting
authors.initials: G
authors.lastname: Chen
authors.forename: Dongmei
authors.initials: D
authors.lastname: Xiao
mesh_terms: D000818:Animals; D003141:Communicable Diseases / Q000453:epidemiology / Q000662:veterinary*; D003247:Conservation of Natural Resources; D056727:Endangered Species; D058872:Epidemics / Q000662:veterinary*; D004812:Epidemiologic Methods; D015233:Models, Statistical; D011157:Population Dynamics