2007
DOI: 10.1016/j.cam.2006.10.065
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A discrete time version for models of population dynamics in the presence of an infection

Abstract: We present a set of difference equations which represents the discrete counterpart of a large class of continuous model concerning the dynamics of an infection in an organism or in a host population. The limiting behavior of the discrete model is studied and a threshold parameter playing the role of the basic reproduction number is derived

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Cited by 34 publications
(45 citation statements)
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“…In this section, we present a model of a source of pulse noise that can be used as a multiplicative noise source for a linear system model. The corresponding stochastic linear differential equation is obtained starting from a discrete linear model, sometimes used in the literature [37].…”
Section: Modelmentioning
confidence: 99%
“…In this section, we present a model of a source of pulse noise that can be used as a multiplicative noise source for a linear system model. The corresponding stochastic linear differential equation is obtained starting from a discrete linear model, sometimes used in the literature [37].…”
Section: Modelmentioning
confidence: 99%
“…For a discrete epidemic model with immigration of infectives, Jang and Elaydi [10] showed the global asymptotic stability of the disease-free equilibrium, the local asymptotic stability of the endemic equilibrium and the strong persistence of susceptible class by means of the nonstandard discretization method. Recently, using a discretization called "mixed type" formula in Izzo and Vecchio [8] and Izzo et al [9], Sekiguchi [16] obtained the permanence of a class of SIR discrete epidemic models with one delay and SEIRS discrete epidemic models with two delays if an endemic equilibrium of each model exists. For the detailed property for a class of discrete epidemic models, we refer to [3, 4, 8-11, 16, 18].…”
Section: Introductionmentioning
confidence: 99%
“…To prove the positivity of s(p), i(p) and r(p) for any p ≥ 0, we need to use the backward Euler discretization instead of the forward Euler discretization (see, e.g., [8,9]). Moreover, to apply a discrete time analogue of the Lyapunov function proposed by McCluskey [14,15], we adopt a variation of the backward Euler method which is different from that of Sekiguchi [16].…”
Section: Introductionmentioning
confidence: 99%
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“…Moreover, in case of discrete-time models, we can use statistical data for numerical simulations because infection data are computed at discrete-time. For some interesting results related to qualitative behavior of discrete-time epidemic models, we refer interested reader to [1,[16][17][18]20].…”
Section: Introductionmentioning
confidence: 99%