چکیده
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Typhoid fever is a contagious disease that is generally caused by bacteria known as Salmonella typhi.
This disease spreads through manure contamination of food or water and infects unprotected people.
In this work, our focus is to numerically examine the dynamical behavior of a typhoid fever nonlinear
mathematical model. To achieve our objective, we utilize a conditionally stable Runge–Kutta scheme
of order 4 (RK-4) and an unconditionally stable non-standard finite difference (NSFD) scheme to better
understand the dynamical behavior of the continuous model. The primary advantage of using the
NSFD scheme to solve differential equations is its capacity to discretize the continuous model while
upholding crucial dynamical properties like the solutions convergence to equilibria and its positivity
for all finite step sizes. Additionally, the NSFD scheme does not only address the deficiencies of the
RK-4 scheme, but also provides results that are consistent with the continuous system’s solutions.
Our numerical results demonstrate that RK-4 scheme is dynamically reliable only for lower step
size and, consequently cannot exactly retain the important features of the original continuous
model. The NSFD scheme, on the other hand, is a strong and efficient method that presents an
accurate portrayal of the original model. The purpose of developing the NSFD scheme for differential
equations is to make sure that it is dynamically consistent, which means to discretize the continuous
model while keeping significant dynamical properties including the convergence of equilibria and
positivity of solutions for all step sizes. The numerical simulation also indicates that all the dynamical
characteristics of the continuous model are conserved by discrete NSFD scheme. The theoretical and
numerical results in the current work can be engaged as a useful tool for tracking the occurrence of
typhoid fever disease.
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