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Liu, Xinzhi; Stechlinski, Peter - Infectious Disease Modeling - 9783319532066 - V9783319532066
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Infectious Disease Modeling

€ 149.03
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Description for Infectious Disease Modeling Hardback. Series: Nonlinear Systems and Complexity. Num Pages: 271 pages, 5 black & white illustrations, 67 colour illustrations, 30 colour tables, biography. BIC Classification: GPFC; MBNS; MJCJ; PBWR. Category: (P) Professional & Vocational. Dimension: 235 x 155. Weight in Grams: 606.

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 ... Read more


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Product Details

Format
Hardback
Publication date
2017
Publisher
Springer International Publishing AG Switzerland
Number of pages
271
Condition
New
Series
Nonlinear Systems and Complexity
Number of Pages
271
Place of Publication
Cham, Switzerland
ISBN
9783319532066
SKU
V9783319532066
Shipping Time
Usually ships in 5 to 9 working days
Ref
99-3

About Liu, Xinzhi; Stechlinski, Peter
Xinzhi Liu is a Professor of Mathematics at the University of Waterloo. Peter Stechlinski is a Postdoctoral Fellow in the Process Systems Engineering Laboratory at the Massachusetts Institute of Technology

Reviews for Infectious Disease Modeling
“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. ... Read more

Goodreads reviews for Infectious Disease Modeling


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