Mathematical tools for understanding infectious disease dynamics / Odo Diekmann, Hans Heesterbeek, and Tom Britton
Type de document : MonographieCollection : Princeton series in theoretical and computational biologyLangue : anglais.Pays: Etats Unis.Éditeur : Princeton (N.J.) : Princeton University Press, cop. 2013Description : 1 vol. (XIV-502 p.) : fig. ; 26 cmISBN: 9780691155395.Bibliographie : Bibliogr. p. 491-496. Index.Sujet MSC : 92-02, Research exposition (monographs, survey articles) pertaining to biology92D30, Biology and other natural sciences, Genetics and population dynamics, Epidemiology
92B05, Mathematical biology in general, General biology and biomathematicsEn-ligne : PUP - Sommaire, extrait | Zentralblatt | MathSciNet
| Item type | Current library | Call number | Status | Date due | Barcode |
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Monographie
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CMI Salle 2 | 92 DIE (Browse shelf(Opens below)) | Available | 09421-01 |
Bibliogr. p. 491-496. Index
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. (Source : PUP)
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