The stability analysis of a nonlinear mathematical model for typhoid fever disease

• Published in: Scientific reports 2023-09, Vol.13 (1), p.15284-15284, Article 15284
• Main Authors: Khan, Ihsan Ullah, Mustafa, Shahbaz, Shokri, Ali, Li, Shuo, Akgül, Ali, Bariq, Abdul
• Format: Article
• Language: English
• Subjects: 639/705/1041; 692/699/255/1318; Convergence; Differential equations; Fever; Food contamination; Humanities and Social Sciences; Mathematical models; multidisciplinary; Science; Science (multidisciplinary); Stability analysis; Typhoid; Waterborne diseases
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-023-42244-5

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.