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Mathematical tools for understanding infectious disease dynamics. (English) Zbl 1304.92009

Princeton Series in Theoretical and Computational Biology. Princeton, NJ: Princeton University Press (ISBN 978-0-691-15539-5/hbk; 978-1-400-84562-0/ebook). xiv, 502 p. (2013).
Publisher’s description: 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.
This book also 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.

MSC:

92-02 Research exposition (monographs, survey articles) pertaining to biology
92D30 Epidemiology
92B05 General biology and biomathematics
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