Fractional-Order Modelling and Optimal Control of Cholera Transmission
Abstract
A Caputo-type fractional-order mathematical model for "metapopulation cholera transmission" was recently proposed in [Chaos Solitons Fractals 117 (2018), 37--49]. A sensitivity analysis of that model is done here to show the accuracy relevance of parameter estimation. Then, a fractional optimal control (FOC) problem is formulated and numerically solved. A cost-effectiveness analysis is performed to assess the relevance of studied control measures. Moreover, such analysis allows us to assess the cost and effectiveness of the control measures during intervention. We conclude that the FOC system is more effective only in part of the time interval. For this reason, we propose a system where the derivative order varies along the time interval, being fractional or classical when more advantageous. Such variable-order fractional model, that we call a 'FractInt' system, shows to be the most effective in the control of the disease.
Keywords
Cite
@article{arxiv.2112.03813,
title = {Fractional-Order Modelling and Optimal Control of Cholera Transmission},
author = {Silverio Rosa and Delfim F. M. Torres},
journal= {arXiv preprint arXiv:2112.03813},
year = {2021}
}
Comments
This is a preprint of a paper whose final and definite form is published Open Access in Fractal Fract. at [https://doi.org/10.3390/fractalfract5040261]. Please cite this paper as follows: Rosa, S.; Torres, D.F.M. Fractional-Order Modelling and Optimal Control of Cholera Transmission. Fractal Fract. 2021, 5, 261. https://doi.org/10.3390/fractalfract5040261