The Stability Analysis and Transmission Dynamics of the SIR Model with Nonlinear Recovery and Incidence Rates (original) (raw)
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The paper deals with an epidemic model which is contaminated. Logistic growth input of vulnerable is taken in our SIR model. Saturated type incidence rate alongside Holling type III treatment function and time delay in growth component has been considered. The stability analysis of equilibrium points is done and the basic reproduction number (R0) is obtained. Using (R0), Local Stability around disease-free equilibrium point has been acquired. When R0 is less than one, it is locally stable which means disease doesn’t exist in the environment anymore and when R0 is greater than one, it is unstable which means disease still exists in the environment. We have shown that at R0 = 1 the model exhibits forward bifurcation. The conditions for the local stability of endemic equilibrium point have also been obtained. Conditions for the existence of Hopf bifurcation along with its direction and stability has been determined. Numerical simulations have been performed utilizing MATLAB to confirm ...
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The dynamical behaviors of an SIR epidemic model with nonlinear incidence and treatment is investigated. It is assumed that treatment rate is proportional to the number of infectives below the capacity and is a constant when the number of infectives is greater than the capacity. It is found that a backward bifurcation occurs if the capacity is small. It is also found that there exist bistable endemic equilibria if the capacity is low. Theoretical and numerical results suggest that decreasing the basic reproduction number below one is insufficient for disease eradication.
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The aim of this work is to design two novel implicit and explicit finite difference (FD) schemes to solve SIR (susceptible, infected and recovered) epidemic reactiondiffusion system with modified saturated incidence rate. Since this model is based on population dynamics, therefore solution of the continuous system possesses the positivity property. The proposed finite difference schemes retain the positivity property of sub population which is an essential feature in population dynamics. Von Neumann stability analysis reveals that proposed FD schemes are unconditionally stable. It is verified with the help of Taylor's series expansion that proposed FD schemes are consistent. The proposed implicit scheme is unconditionally consistent i.e. for h = τ. On the other hand the proposed explicit scheme gives conditional consistency for h = τ 3. The proposed FD schemes are compared with two other FD schemes, i.e. forward Euler and Crank Nicolson scheme. Simulations are performed for the verification of all the attributes for the underlying FD schemes. Furthermore, stability of the reaction diffusion system is discussed by applying Routh-Hurwitz criteria. Bifurcation values of infection coefficient are also obtained from Routh-Hurwitz condition.
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