Numerical simulation of SIR childhood diseases model with fractional Adams–Bashforth method

Abstract

This work investigates a fractional Susceptible Infected Recovered (SIR) model to study childhood disease. We analyzed the proposed model by applying Caputo, Caputo-Fabrizio, and Atangana-Baleanu fractional derivatives. Here, we use the fractional Adams-Bashforth method to solve the childhood disease model with nonlocal operator. The proposed numerical technique is developed by combining the fundamental theorem of integral calculus with Lagrange's interpolation. This numerical approach is more efficient than the other existing numerical techniques and is easily computed using Matlab as a programming language. The existence and uniqueness of this fractional model are studied with the fixed-point theorem. These fractional derivatives show different asymptotic behaviors for the distinct values of the fractional order. The numerical results are presented graphically as well as in tabulated form for some value of fractional order.

Generalization of Bernoulli polynomials to find optimal solution of fractional hematopoietic stem cells model

“…Ahmad et al [32] analyzed and modeled bovine babesiosis disease, obtaining an analytical solution using the homotopy analysis method and Laplace transform with polynomial homotopy. Prakash [33] investigated a fractional Susceptible-Infected-Recovered model relevant to childhood diseases. The model was addressed through the fractional Adams-Bashforth method, integrating a nonlocal operator.…”