Analysis and numerical effects of time-delayed rabies epidemic model with diffusion

The current work is devoted to investigating the disease dynamics and numerical modeling for the delay diffusion infectious rabies model. To this end, a non-linear diffusive rabies model with delay count is considered. Parameters involved in the model are also described. Equilibrium points of the model are determined and their role in studying the disease dynamics is identified. The basic reproduction number is also studied. Before going towards the numerical technique, the definite existence of the solution is ensured with the help of the Schauder fixed point theorem. A standard result for the uniqueness of the solution is also established. Mapping properties and relative compactness of the operator are studied. The proposed finite difference method is introduced by applying the rules defined by R.E. Mickens. Stability analysis of the proposed method is done by implementing the Von-Neumann method. Taylor's expansion approach is enforced to examine the consistency of the said method. All the important facts of the proposed numerical device are investigated by presenting the appropriate numerical test example and computer simulations. The effect of tau on infected individuals is also examined, graphically. Moreover, a fruitful conclusion of the study is submitted.

Automated summary

This work investigates disease dynamics and numerical modeling for the delay diffusion infectious rabies model. It considers a non-linear diffusive rabies model with a delay count and describes the parameters involved. Equilibrium points are determined and their role in studying disease dynamics is identified. The basic reproduction number is also studied. The solution's existence is ensured using the Schauder fixed point theorem and uniqueness is established. A finite difference method is introduced and its stability is analyzed using the Von-Neumann method. The consistency of the method is examined using Taylor's expansion approach. The numerical test example and computer simulations investigate the important aspects of the proposed numerical device, including the effect of tau on infected individuals. A fruitful conclusion of the study is presented.