A SIQRB delayed model for cholera and optimal control treatment
Abstract
We improve a recent mathematical model for cholera by adding a time delay that represents the time between the instant at which an individual becomes infected and the instant at which he begins to have symptoms of cholera disease. We prove that the delayed cholera model is biologically meaningful and analyze the local asymptotic stability of the equilibrium points for positive time delays. An optimal control problem is proposed and analyzed, where the goal is to obtain optimal treatment strategies, through quarantine, that minimize the number of infective individuals and the bacterial concentration, as well as treatment costs. Necessary optimality conditions are applied to the delayed optimal control problem, with a type cost functional. We show that the delayed cholera model fits better the cholera outbreak that occurred in the Department of Artibonite -- Haiti, from 1 November 2010 to 1 May 2011, than the non-delayed model. Considering the data of the cholera outbreak in Haiti, we solve numerically the delayed optimal control problem and propose solutions for the outbreak control and eradication.
Keywords
Cite
@article{arxiv.2206.12688,
title = {A SIQRB delayed model for cholera and optimal control treatment},
author = {Ana P. Lemos-Paiao and Helmut Maurer and Cristiana J. Silva and Delfim F. M. Torres},
journal= {arXiv preprint arXiv:2206.12688},
year = {2022}
}
Comments
This is a preprint of a paper whose final and definite form is published Open Access in 'Math. Model. Nat. Phenom.' at [https://www.mmnp-journal.org]. Submitted to MMNP: Sept 23, 2021; Revised: March 15, 2022; Accepted: June 25, 2022