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Stochastic Epidemic Models With Inference. Mathematical Biosciences Subseries

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Stochastic Epidemic Models With Inference. Mathematical Biosciences Subseries Synopsis

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.


About This Edition

ISBN: 9783030308995
Publication date:
Author: Tom Britton, Frank Ball, Etienne Pardoux, Tom Britton, Catherine Larédo, Etienne Pardoux, David Sirl, Viet Chi Tran
Publisher: Springer an imprint of Springer International Publishing
Format: Paperback
Pagination: 474 pages
Series: Lecture Notes in Mathematics
Genres: Probability and statistics
Stochastics
Computational biology / bioinformatics
Epidemiology and Medical statistics