Modelling the Dynamics of Campylobacteriosis Using Nonstandard Finite Difference Approach with Optimal Control

Osman, Shaibu and Togbenon, Houenafa Alain and Otoo, Dominic and Chuzhanova, Nadia A. (2020) Modelling the Dynamics of Campylobacteriosis Using Nonstandard Finite Difference Approach with Optimal Control. Computational and Mathematical Methods in Medicine, 2020. pp. 1-12. ISSN 1748-670X

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Abstract

Campylobacter genus is the bacteria responsible for campylobacteriosis infections, and it is the commonest cause of gastroenteritis in adults and infants. The disease is hyperendemic in children in most parts of developing countries. It is a zoonotic disease that can be contracted via direct contact, food, and water. In this paper, we formulated a deterministic model for Campylobacteriosis as a zoonotic disease with optimal control and to determine the best control measure. The nonstandard finite difference scheme was used for the model analysis. The disease-free equilibrium of the scheme in its explicit form was determined, and it was shown to be both locally and globally asymptotically stable. The campylobacteriosis model was extended to optimal control using prevention of susceptible humans contracting the disease and treatment of infected humans and animals. The objective function was optimised, and it was established that combining prevention of susceptible humans and treatment of infected animals was the effective control measure in combating campylobacteriosis infections. An analysis of the effects of contact between susceptible and infected animals as well susceptible and infected humans was conducted. It showed an increase in infected animals and humans whenever the contact rate increases and decreases otherwise. Biologically, it implies that campylobacteriosis infections can be controlled by ensuring that interactions among susceptible humans, infected animals, and infected humans is reduced to the barest minimum.

Item Type: Article
Subjects: Euro Archives > Medical Science
Depositing User: Managing Editor
Date Deposited: 19 Apr 2023 04:22
Last Modified: 02 Jun 2024 05:09
URI: http://publish7promo.com/id/eprint/1094

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