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Infectious Disease Modeling

A Hybrid System Approach. Nonlinear Systems and Complexity 19

Format: Hardback
Publisher: Springer International Publishing AG, Cham, Switzerland
Published: 3rd Mar 2017
Dimensions: w 155mm h 235mm
Weight: 6083g
ISBN-10: 3319532065
ISBN-13: 9783319532066
Barcode No: 9783319532066
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Synopsis
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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Newspapers & Magazines
"If you have a serious interest in the epidemiology of infectious diseases and are eager to roll up your sleeves, please consult this book ... ." (Odo Diekmann, SIAM Review, Vol. 61 (1), March, 2019)

"This book focuses on infectious disease mathematical models, taking seasonality and changes in population behavior into account, using a switched and hybrid systems framework. ... This book is strongly recommended to graduate level students with a background in dynamic system or epidemic modeling and an interest in mathematical biology, epidemic models, and physical problems exhibiting a mixture of continuous and discrete dynamics." (Hemang B. Panchal, Doody's Book Reviews, April, 2017)

"This book presents a new type of switched model for the spread of infectious diseases. ... This book should be useful and attractive for students and researchers seeking updated progresses in the field of epidemic modeling ... ." (Yilun Shang, zbMATH 1362.92002, 2017)