2017
DOI: 10.1186/s13662-017-1174-6
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Stability analysis for a class of discrete schistosomiasis models with general incidence

Abstract: In this paper, we propose to study a class of discrete schistosomiasis models with general incidence function. This model is derived from a continuous schistosomiasis model (in Appl. Math. 4:1682-1693 by using the backward Euler discretization method with step size h = 1. We visit some basic properties of this discrete model and we study the stabilities of the equilibria by constructing some appropriate Lyapunov functional for the endemic equilibrium.

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Cited by 6 publications
(3 citation statements)
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“…In this section, we study the global dynamics for R 0 > 1.We make this additional assumption as in (Guiro, Ngom, Ouedraogo, 2017).…”
Section: Stability Of the Endemic Equilibrium Formentioning
confidence: 99%
“…In this section, we study the global dynamics for R 0 > 1.We make this additional assumption as in (Guiro, Ngom, Ouedraogo, 2017).…”
Section: Stability Of the Endemic Equilibrium Formentioning
confidence: 99%
“…One could mention few of them. Models with general incidence rate were published in Yan-Fang et al (2016) and Guiro et al (2017). Some within hosts and/or multi-hosts models could be found in Chiyaka and Garira (2009), Nelson et al (2009), Diaby et al (2014), , Ding et al (2015), Shan et al (2011), Chiyaka et al (2010 and Zhang et al (2017).…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, in order to study the continuous time SIR and SIRS epidemic models, many various discrete dynamical model have been constructed and then, dynamical properties have been considered in many papers such as ( [9,5,11,12,13]). The fact that the epidemiological data are usually collected in discrete time units, such as daily, weekly or monthly, makes the discrete model a natural choice to describe a disease transmission.…”
Section: Introductionmentioning
confidence: 99%