Infectious Disease Modeling

A Hybrid System Approach de

,

Éditeur :

Springer


Collection :

Nonlinear Systems and Complexity

Paru le : 2017-02-25

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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.



Pages
271 pages
Collection
Nonlinear Systems and Complexity
Parution
2017-02-25
Marque
Springer
EAN papier
9783319532066
EAN PDF
9783319532080

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
5212 Ko
Prix
89,66 €
EAN EPUB
9783319532080

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
4372 Ko
Prix
89,66 €