Stochastic epidemic models with inference / Tom Britton, Etienne Pardoux
Type de document : CongrèsCollection : Lecture notes in mathematics, 2255Langue : anglais.Pays: Swisse.Éditeur : Cham : Springer-Verlag, 2019Description : 1 vol. (XVIII-472 p.) : ill. ; 24 cmISBN: 9783030308995.ISSN: 0075-8434.Bibliographie : Références bibliogr. en fin de contributions.Sujet MSC : 92D30, Biology and other natural sciences, Genetics and population dynamics, Epidemiology62P10, Applications of statistics to biology and medical sciences; meta analysis
92B05, Mathematical biology in general, General biology and biomathematics
60J85, Probability theory and stochastic processes - Markov processes, Applications of branching processes
05C80, Combinatorics - Graph theory, Random graphsEn-ligne : Springerlink - sommaire | zbMath
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
Congrès
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CMI Salle 2 | 92 BRI (Browse shelf(Opens below)) | Available | 12629-01 |
Références bibliogr. en fin de contributions
Focussing on stochastic models for the spread of infectious diseases in a human population, this book is the outcome of a two-week ICPAM/CIMPA school on "Stochastic models of epidemics" which took place in Ziguinchor, Senegal, December 5–16, 2015. The text is divided into four parts, each based on one of the courses given at the school: homogeneous models (Tom Britton and Etienne Pardoux), two-level mixing models (David Sirl and Frank Ball), epidemics on graphs (Viet Chi Tran), and statistics for epidemic models (Catherine Larédo).
The CIMPA school was aimed at PhD students and Post Docs in the mathematical sciences. Parts (or all) of this book can be used as the basis for traditional or individual reading courses on the topic. For this reason, examples and exercises (some with solutions) are provided throughout.
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