A SEIR model for control of infectious diseases with constraints

Optimal control can be of help to test and compare different vaccination strategies of a certain disease.In this paper we propose the introduction ofconstraints involving state variables on an optimal control problem applied to a compartmental SEIR (Susceptible. Exposed, Infectious and Recovered) m...

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Main Authors: M. H. A. Biswas, L. T. Paiva, MdR de Pinho
Format: Article
Language:English
Published: AIMS Press 2014-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.761
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author M. H. A. Biswas
L. T. Paiva
MdR de Pinho
author_facet M. H. A. Biswas
L. T. Paiva
MdR de Pinho
author_sort M. H. A. Biswas
collection DOAJ
description Optimal control can be of help to test and compare different vaccination strategies of a certain disease.In this paper we propose the introduction ofconstraints involving state variables on an optimal control problem applied to a compartmental SEIR (Susceptible. Exposed, Infectious and Recovered) model. We study the solution of such problems when mixed state control constraints are used to impose upper bounds on the available vaccines at each instant of time. We also explore the possibility of imposing upper bounds on the number of susceptible individuals with and without limitations on the number of vaccines available. In the case of mere mixed constraints a numerical and analytical study is conducted while in the other two situations only numerical results are presented.
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institution Kabale University
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publishDate 2014-02-01
publisher AIMS Press
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series Mathematical Biosciences and Engineering
spelling doaj-art-06f6d5222f2a4c88bd0e5131815b8f8d2025-01-24T02:28:18ZengAIMS PressMathematical Biosciences and Engineering1551-00182014-02-0111476178410.3934/mbe.2014.11.761A SEIR model for control of infectious diseases with constraintsM. H. A. Biswas0L. T. Paiva1MdR de Pinho2Faculdade de Engenharia da Universidade do Porto, DEEC and ISR-Porto, Rua Dr. Roberto Frias, s/n, 4200-465 PortoFaculdade de Engenharia da Universidade do Porto, DEEC and ISR-Porto, Rua Dr. Roberto Frias, s/n, 4200-465 PortoFaculdade de Engenharia da Universidade do Porto, DEEC and ISR-Porto, Rua Dr. Roberto Frias, s/n, 4200-465 PortoOptimal control can be of help to test and compare different vaccination strategies of a certain disease.In this paper we propose the introduction ofconstraints involving state variables on an optimal control problem applied to a compartmental SEIR (Susceptible. Exposed, Infectious and Recovered) model. We study the solution of such problems when mixed state control constraints are used to impose upper bounds on the available vaccines at each instant of time. We also explore the possibility of imposing upper bounds on the number of susceptible individuals with and without limitations on the number of vaccines available. In the case of mere mixed constraints a numerical and analytical study is conducted while in the other two situations only numerical results are presented.https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.761optimal controlnumerical applications.seir modelmaximum principlestate constraintsmixed constraints
spellingShingle M. H. A. Biswas
L. T. Paiva
MdR de Pinho
A SEIR model for control of infectious diseases with constraints
Mathematical Biosciences and Engineering
optimal control
numerical applications.
seir model
maximum principle
state constraints
mixed constraints
title A SEIR model for control of infectious diseases with constraints
title_full A SEIR model for control of infectious diseases with constraints
title_fullStr A SEIR model for control of infectious diseases with constraints
title_full_unstemmed A SEIR model for control of infectious diseases with constraints
title_short A SEIR model for control of infectious diseases with constraints
title_sort seir model for control of infectious diseases with constraints
topic optimal control
numerical applications.
seir model
maximum principle
state constraints
mixed constraints
url https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.761
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