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Infectious disease modeling: a hybrid system approach

This volume presents infectious diseases modeled mathematically, taking seasonality and changes in population behavior into account, using a switched and hybrid systems framework. The scope of coverage includes background on mathematical epidemiology, including classical formulations and results; a...

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Detalles Bibliográficos
Autores principales: Liu, Xinzhi, Stechlinski, Peter
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-53208-0
http://cds.cern.ch/record/2253874
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author Liu, Xinzhi
Stechlinski, Peter
author_facet Liu, Xinzhi
Stechlinski, Peter
author_sort Liu, Xinzhi
collection CERN
description This volume presents infectious diseases modeled mathematically, taking seasonality and changes in population behavior into account, using a switched and hybrid systems framework. The scope of coverage includes background on mathematical epidemiology, including classical formulations and results; a motivation for seasonal effects and changes in population behavior, an investigation into term-time forced epidemic models with switching parameters, and a detailed account of several different control strategies. The main goal is to study these models theoretically and to establish conditions under which eradication or persistence of the disease is guaranteed. In doing so, the long-term behavior of the models is determined through mathematical techniques from switched systems theory. Numerical simulations are also given to augment and illustrate the theoretical results and to help study the efficacy of the control schemes.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
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spelling cern-22538742021-04-21T19:19:25Zdoi:10.1007/978-3-319-53208-0http://cds.cern.ch/record/2253874engLiu, XinzhiStechlinski, PeterInfectious disease modeling: a hybrid system approachEngineeringThis volume presents infectious diseases modeled mathematically, taking seasonality and changes in population behavior into account, using a switched and hybrid systems framework. The scope of coverage includes background on mathematical epidemiology, including classical formulations and results; a motivation for seasonal effects and changes in population behavior, an investigation into term-time forced epidemic models with switching parameters, and a detailed account of several different control strategies. The main goal is to study these models theoretically and to establish conditions under which eradication or persistence of the disease is guaranteed. In doing so, the long-term behavior of the models is determined through mathematical techniques from switched systems theory. Numerical simulations are also given to augment and illustrate the theoretical results and to help study the efficacy of the control schemes.Springeroai:cds.cern.ch:22538742017
spellingShingle Engineering
Liu, Xinzhi
Stechlinski, Peter
Infectious disease modeling: a hybrid system approach
title Infectious disease modeling: a hybrid system approach
title_full Infectious disease modeling: a hybrid system approach
title_fullStr Infectious disease modeling: a hybrid system approach
title_full_unstemmed Infectious disease modeling: a hybrid system approach
title_short Infectious disease modeling: a hybrid system approach
title_sort infectious disease modeling: a hybrid system approach
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-53208-0
http://cds.cern.ch/record/2253874
work_keys_str_mv AT liuxinzhi infectiousdiseasemodelingahybridsystemapproach
AT stechlinskipeter infectiousdiseasemodelingahybridsystemapproach