Issue |
Math. Model. Nat. Phenom.
Volume 17, 2022
Modelling of Communicable Diseases
|
|
---|---|---|
Article Number | 25 | |
Number of page(s) | 23 | |
DOI | https://doi.org/10.1051/mmnp/2022027 | |
Published online | 01 August 2022 |
A SIQRB delayed model for cholera and optimal control treatment*
1
Center for Research and Development in Mathematics and Applications (CIDMA), Department of Mathematics, University of Aveiro, 3810-193 Aveiro, Portugal
2
Institute of Computational and Applied Mathematics, University of Münster, D-48149 Münster, Germany
* Corresponding author: cjoaosilva@ua.pt
Received:
23
September
2021
Accepted:
25
June
2022
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 L1 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.
Mathematics Subject Classification: 34C60 / 49K15 / 92D30
Key words: SIQRB cholera delayed model / time-delay / disease-free and endemic equilibria / stability / optimal control / case study in Haiti
This research was supported by the Portuguese Foundation for Science and Technology (FCT) within projects UIDB/04106/2020 and UIDP/04106/2020 (CIDMA). Lemos-Paião was also supported by the Ph.D. fellowship PD/BD/114184/2016; Silva by FCT via the FCT Researcher Program CEEC Individual 2018 with reference CEECIND/00564/2018.
© The authors. Published by EDP Sciences, 2022
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