Optimal vaccination strategies for an SEIR model of infectious diseases with logistic growth

In this paper an improved SEIR model for an infectious disease is presented which includes logistic growth for the total population. The aim is to develop optimal vaccination strategies against the spread of a generic disease. These vaccination strategies arise from the study of optimal control prob...

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Main Authors: Markus Thäter, Kurt Chudej, Hans Josef Pesch
Format: Article
Language:English
Published: AIMS Press 2018-03-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2018022
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author Markus Thäter
Kurt Chudej
Hans Josef Pesch
author_facet Markus Thäter
Kurt Chudej
Hans Josef Pesch
author_sort Markus Thäter
collection DOAJ
description In this paper an improved SEIR model for an infectious disease is presented which includes logistic growth for the total population. The aim is to develop optimal vaccination strategies against the spread of a generic disease. These vaccination strategies arise from the study of optimal control problems with various kinds of constraints including mixed control-state and state constraints. After presenting the new model and implementing the optimal control problems by means of a first-discretize-then-optimize method, numerical results for six scenarios are discussed and compared to an analytical optimal control law based on Pontrygin's minimum principle that allows to verify these results as approximations of candidate optimal solutions.
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institution Kabale University
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spelling doaj-art-9fa8dda9c0bc490aad663be14c4702c82025-01-24T02:40:44ZengAIMS PressMathematical Biosciences and Engineering1551-00182018-03-0115248550510.3934/mbe.2018022Optimal vaccination strategies for an SEIR model of infectious diseases with logistic growthMarkus Thäter0Kurt Chudej1Hans Josef Pesch2Chair of Mathematics in Engineering Sciences, University of Bayreuth, Bayreuth, D 95440, GermanyChair of Mathematics in Engineering Sciences, University of Bayreuth, Bayreuth, D 95440, GermanyChair of Mathematics in Engineering Sciences, University of Bayreuth, Bayreuth, D 95440, GermanyIn this paper an improved SEIR model for an infectious disease is presented which includes logistic growth for the total population. The aim is to develop optimal vaccination strategies against the spread of a generic disease. These vaccination strategies arise from the study of optimal control problems with various kinds of constraints including mixed control-state and state constraints. After presenting the new model and implementing the optimal control problems by means of a first-discretize-then-optimize method, numerical results for six scenarios are discussed and compared to an analytical optimal control law based on Pontrygin's minimum principle that allows to verify these results as approximations of candidate optimal solutions.https://www.aimspress.com/article/doi/10.3934/mbe.2018022seir modellogistic growthinfectious diseasesoptimal controlvaccination strategyverification of numerical results
spellingShingle Markus Thäter
Kurt Chudej
Hans Josef Pesch
Optimal vaccination strategies for an SEIR model of infectious diseases with logistic growth
Mathematical Biosciences and Engineering
seir model
logistic growth
infectious diseases
optimal control
vaccination strategy
verification of numerical results
title Optimal vaccination strategies for an SEIR model of infectious diseases with logistic growth
title_full Optimal vaccination strategies for an SEIR model of infectious diseases with logistic growth
title_fullStr Optimal vaccination strategies for an SEIR model of infectious diseases with logistic growth
title_full_unstemmed Optimal vaccination strategies for an SEIR model of infectious diseases with logistic growth
title_short Optimal vaccination strategies for an SEIR model of infectious diseases with logistic growth
title_sort optimal vaccination strategies for an seir model of infectious diseases with logistic growth
topic seir model
logistic growth
infectious diseases
optimal control
vaccination strategy
verification of numerical results
url https://www.aimspress.com/article/doi/10.3934/mbe.2018022
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AT kurtchudej optimalvaccinationstrategiesforanseirmodelofinfectiousdiseaseswithlogisticgrowth
AT hansjosefpesch optimalvaccinationstrategiesforanseirmodelofinfectiousdiseaseswithlogisticgrowth