Impulsive vaccination of SEIR epidemic model with time delay and nonlinear incidence rate☆
Introduction
Epidemic models study the transmission dynamics of infectious disease in host populations, aiming at tracing factors that give rise to their occurrence. In recent years, epidemic models of ordinary differential equations (ODE for short) have been studied by many scholars. The dynamics of the SIR and SIRS epidemic model have been extensively analyzed [2], [4], [10], [19], [25]. Many diseases, however, incubate inside the hosts for a period of time before the hosts become infectious. Models that are more general than the SIR or SIRS types need to be studied to investigate the role of an incubation period in disease transmission. Using a compartmental approach, one may assume that a susceptible individual first goes through a latent period (and is said to become exposed or in the class E) after infection, before becoming infectious. The resulting models are of SEIR or SEIRS types, respectively, depending on whether the acquired immunity is permanent or otherwise. Li et al. [15] considered the global stability of an SEIR epidemic model in which the latent and immune state were infective. Greenhalgh [8] considered an SEIR epidemic model for an infectious disease where the death rate depends on the number of individuals in the population. Cooke and vanden Driessche [5] introduced and studied an SEIRS epidemic model with two delays. Recently, Greenhalgh [9] studied hopf bifurcation in epidemic models with a latent period and non-permanent immunity. Li et al. [17] studied the global stability for the SEIR model in epidemiology. Li et al. [13] studied the global dynamics of the SEIR model with a nonlinear incidence rate and with a standard incidence, respectively. Li et al. [18] analyzed the global dynamics of an SEIR model with vertical transmission and a bilinear incidence. Zhang et al. [28] considered the global dynamics of an SEIR model with the saturating contact rate. The basic and important research subjects for these models are the existence of the threshold value which determines the local and global stability of the disease-free equilibrium and the endemic equilibrium.
Infectious diseases have tremendous influence on human life. Every year, millions of people die of various infectious diseases. Controlling infectious diseases has been an increasingly complex issue in recent years. Pulse vaccination is an effective way to control the transmission of diseases and was considered in the literatures [1], [6], [23], [24].
Pulse vaccination has gained in prominence as a result of its highly successful application in the control of poliomyelitis and measles throughout Central and South America [7], [22]. This method has also been used in the United Kingdom. In November 1994, a single dose of combined measles and rubella vaccine was given to children aged 5–16 years. In England and Wales, an average of 92% of these children were vaccinated. This policy caused a significant fall in the number of cases of measles reported to the Office of Population Censuses and Surveys. It was concluded that the application of pulse immunization to all schoolchildren would probably prevent a large rate of morbidity and mortality and would have a marked effect on measles transmission for several years [20].
Generally, consideration of the latent period gives rise to model the incorporation of delay. Then the death during a latent period should be considered, which is called the phenomena of ‘time delay’. So, time delay has important biological meaning in epidemic models. Most of the research literature on SEIR or SEIRS epidemic models are established by ODE [8], [9], [13], [15], [17], [18], [28], delayed ODE [5], [26], or impulsive ODE [1], [6], [23], [24]. However, dynamical behaviors on impulsive equation with time delay have seldom been studied by authors. In this paper, we study the dynamical behavior of the delay model with pulse vaccination. The main purpose is to show that large vaccination rate or short period pulsing or long latent period of the disease implies that diseases die out. The second purpose is to establish a sufficient condition that the disease is uniformly persistent, that is, there is a positive constant p (independent of the choice of the solution) such that for all large t.
The organization of this paper is as follows. In Section 2, we introduce the SEIR epidemic model with time delay and pulse vaccination. In Sections 3 Global attractivity of infection-free periodic solution, 4 Permanence, we investigate the dynamical behaviors of the model with nonlinear incidence rate and obtain the sufficient condition for global attractivity of infection-free periodic solution and the permanence of the population. Lastly, we show the effect of pulse vaccination rate, period of pulsing, latent period of the disease on the dynamical behaviors of model by numerical analysis.
Section snippets
The SEIR epidemic model and preliminary
Standard epidemiological models use a bilinear incidence rate based on the law of mass action [1], [6]. However, as the number of susceptible populations is large, it is unreasonable to consider the bilinear incidence rate because the number of susceptible populations with every infective contact within a certain time is limited. If the population is saturated with infective population, there are kinds of incidence forms that are used in epidemiological model: the proportionate mixing incidence
Global attractivity of infection-free periodic solution
We begin the analysis of system (2.2) by the first demonstrating the existence of an infection-free solution, in which infectious individuals are entirely absent from the population permanently, i.e.,This is motivated by the fact is an equilibrium solution for the variable , as it leaves . Under this conditions, we show below that the susceptible population oscillates with in synchronization with the periodic pulse vaccination. In the section that follows, we
Permanence
In this section we say the disease is endemic if the infectious population persists above a certain threshold level for sufficiently large time. The endemicity of the disease can be well captured and studied through the notion of uniform persistence and permanence.
Definition 4.1 System (2.2) is said to be uniformly persistent if there is an (independent of the initial data) such that every solution with initial conditions (2.3) of system (2.2) satisfies
Definition 4.2
Discussion
In this paper, we introduce time delay, pulse vaccination and nonlinear incidence rate in the SEIR model, and we analyze in theory that the latent period of disease and pulse vaccination bring effects on infection-eradication and the permanence of epidemic disease. Theorem 3.1, Theorem 4.1 imply that the disease dynamics of (2.2) is completely determined by the and . Hence, the vaccination effects depend on whether can be reduced to be below unity or not. Recalling Corollary
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This work is supported by the National Natural Science Foundation of China (No. 10771179).