2015
DOI: 10.1007/s10441-015-9273-9
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Complex Dynamics of an SIR Epidemic Model with Saturated Incidence Rate and Treatment

Abstract: This paper describes a traditional SIR type epidemic model with saturated infection rate and treatment function. The dynamics of the model is studied from the point of view of stability and bifurcation. Basic reproduction number is obtained and it is shown that the model system may possess a backward bifurcation. The global asymptotic stability of the endemic equilibrium is studied with the help of a geometric approach. Optimal control problem is formulated and solved. Some numerical simulation works are carri… Show more

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Cited by 61 publications
(28 citation statements)
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“…Exhibition of transcritical and backward bifurcation have been analysed in our work. It is important to mention here that our work is different from some of the other related works cited in this paper [10][11] because the stability or instability of endemic equilibrium point(s) is analysed by applying different techniques described in [12]. It should also be noted that in this paper, we shall deal with the qualitative analysis of the model as well as the optimal control of the disease.…”
Section: Introductionmentioning
confidence: 94%
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“…Exhibition of transcritical and backward bifurcation have been analysed in our work. It is important to mention here that our work is different from some of the other related works cited in this paper [10][11] because the stability or instability of endemic equilibrium point(s) is analysed by applying different techniques described in [12]. It should also be noted that in this paper, we shall deal with the qualitative analysis of the model as well as the optimal control of the disease.…”
Section: Introductionmentioning
confidence: 94%
“…To justify the impact of optimal control, we have used the forward-backward sweep method to solve the optimality system numerically. This method combines the forward application of a fourth order Runge-Kutta method for the state system (1) with the backward application of a fourth order Runge-Kutta method for the adjoint system (9) and the transversality conditions (10). Here, we fixed up our problem for 20 months and assume that the vaccination and treatment are stopped after 20 months.…”
Section: Numerical Simulations and Efficiency Analysismentioning
confidence: 99%
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“… 2014 ; Jana et al. 2016 , 2017a ). In his book, Murray ( 2002 ) has analysed theoretical works on some simple SI , SIS , SIR epidemic models.…”
Section: Introductionmentioning
confidence: 99%
“…Agrawal [21], in their study, they used a particular rate function which was not linear in nature. An epidemic model (SIR) with treatment function and rate of infection was described by [9]. In their study they focused on stability and set the dynamics of the model accordingly to build a basic reproduction number R0.…”
Section: Introductionmentioning
confidence: 99%