The dynamics of vector-borne relapsing diseases

Threshold dynamics of a viral infection model with defectively infected cells

In this paper, we investigate the global dynamics of a viral infection model with defectively infected cells. The explicit expression of the basic reproduction number of virus is obtained by using the next generation matrix approach, where each term has a clear biological interpretation. We show that the basic reproduction number serves as a threshold parameter. The virus dies out if the basic reproduction number is not greater than unity, otherwise the virus persists and the viral load eventually approaches a positive number. The result is established by Lyapunov's direct method. Our novel arguments for the stability of the infection equilibrium not only simplify the analysis (compared with some traditional ones in the literature) but also demonstrate some correlation between the two Lyapunov functions for the infection-free and infection equilibria.

Global analysis of multi-host and multi-vector epidemic models

We formulate a multi-group and multi-vector epidemic model in which hosts' dynamics is captured by staged-progression S E I R framework and the dynamics of vectors is captured by an SI framework. The proposed model describes the evolution of a class of zoonotic infections where the pathogen is shared by m host species and transmitted by p arthropod vector species. In each host, the infectious period is structured into n stages with a corresponding infectiousness parameter to each vector species. We determine the basic reproduction number R 0 2 ( m , n , p ) and investigate the dynamics of the systems when this threshold is less or greater than one. We show that the dynamics of the multi-host, multi-stage, and multi-vector system is completely determined by the basic reproduction number and the structure of the host-vector network configuration. Particularly, we prove that the disease-free equilibrium is globally asymptotically stable (GAS) whenever R 0 2 ( m , n , p ) < 1 , and a unique strongly endemic equilibrium exists and is GAS if R 0 2 ( m , n , p ) > 1 and the host-vector configuration is irreducible. That is, either the disease dies out or persists in all hosts and all vector species.