A robust study on the listeriosis disease by adopting fractal-fractional operators

Listeriosis is one of the zoonotic diseases affecting most parts of the Sub-Saharan countries. The infection is often transmitted by eating and it can also pass by respiratory and direct contact. In this paper, a listeriosis mathematical model is formulated involving fractal-fractional orders in both Caputo and Atangana-Baleanu derivatives. Moreover, future behaviors of the disease are investigated by considering the fractal-fractional operators that are very effective in modeling the real-life phenomena by virtue of their memory effect. The basic properties and steady states are also obtained. The threshold parameter for determining the spread of the disease is computed. Numerical results are presented for each fractal-fractional-order operator. The results obtained in the paper show that the numerical schemes are effective for predicting and analyzing complex phenomena. (C) 2019 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.

Automated summary

Listeriosis is a zoonotic disease that affects many Sub-Saharan countries, and a mathematical model incorporating fractal-fractional orders has been developed in this paper to investigate the disease's future behaviors. The study reveals that numerical schemes are effective for predicting and analyzing complex phenomena, providing insights into the disease's spread and steady states.