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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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Bibliographic Details
Main Authors: Liu, Xinzhi
Corporate Authors: SpringerLink Online service
Group Author: Stechlinski, Peter
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Nonlinear Systems and Complexity, 19
Subjects:
Mathematics
Infectious Diseases
Epidemiology
Mathematical models
Complexity, Computational
Mathematical Modeling and Industrial Mathematics
Complexity
Applications of Nonlinear Dynamics and Chaos Theory
Online Access: http://dx.doi.org/10.1007/978-3-319-53208-0
Summary: 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 und
Carrier Form: 1 online resource (XVI, 271 pages): illustrations.
ISBN: 9783319532080
Index Number: TA342
CLC: TP311-532
Contents: Introduction -- Modelling the Spread of an Infectious Disease -- Hybrid Epidemic Models -- Control Strategies for Eradication -- Discussions and Conclusions -- References -- Appendix.

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