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Mathematical Tools for Understanding Infectious Disease Dynamics
Odo Diekmann
€ 124.85
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Description for Mathematical Tools for Understanding Infectious Disease Dynamics
Hardback. Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. Series: Princeton Series in Theoretical and Computational Biology. Num Pages: 520 pages, 53 line illus. 1 table. BIC Classification: MBNS; PBWH. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 259 x 178 x 33. Weight in Grams: 1206.
Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods. Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and ... Read more
Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods. Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and ... Read more
Product Details
Publisher
Princeton University Press
Number of pages
520
Format
Hardback
Publication date
2012
Series
Princeton Series in Theoretical and Computational Biology
Condition
New
Weight
1205g
Number of Pages
520
Place of Publication
New Jersey, United States
ISBN
9780691155395
SKU
V9780691155395
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Odo Diekmann
Odo Diekmann is professor of mathematical analysis at Utrecht University. Hans Heesterbeek is professor of theoretical epidemiology at Utrecht University. Tom Britton is professor of mathematical statistics at Stockholm University.
Reviews for Mathematical Tools for Understanding Infectious Disease Dynamics
"A much needed book. Mathematical Tools for Understanding Infectious Disease Dynamics is a welcome addition to the current literature and will hopefully help to unify the many different views in the field."
Laura Matrajt, SIAM Review "The overtly pedagogical features of this text make it an outstanding choice for someone trying to learn the basic tools of the trade. The mathematician ... Read more
Laura Matrajt, SIAM Review "The overtly pedagogical features of this text make it an outstanding choice for someone trying to learn the basic tools of the trade. The mathematician ... Read more