Mathematical Tools for Understanding Infectious Disease Dynamics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Mathematical Tools for Understanding Infectious Disease Dynamics

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Diekmann, Odo; Heesterbeek, Hans; Britton, Tom 作者
譯者
2012-10 出版日期
516 頁數
$ 101.70 價格
Princeton Series in Theoretical and Computational Biology 叢書系列
9780691155395 圖書編碼

Mathematical Tools for Understanding Infectious Disease Dynamics 在線電子書 圖書標籤: 生物  數學  MathematicalBiology  Math   


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Mathematical Tools for Understanding Infectious Disease Dynamics 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Mathematical Tools for Understanding Infectious Disease Dynamics 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Mathematical Tools for Understanding Infectious Disease Dynamics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Mathematical Tools for Understanding Infectious Disease Dynamics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Mathematical Tools for Understanding Infectious Disease Dynamics 在線電子書 圖書描述

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 how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided. It covers the latest research in mathematical modeling of infectious disease epidemiology. It integrates deterministic and stochastic approaches. It teaches skills in model construction, analysis, inference, and interpretation. It features numerous exercises and their detailed elaborations. It is motivated by real-world applications throughout.

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