Stochastic Epidemic Models with Inference (Paperback, 1st ed. 2019)

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 Laredo). 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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Mathematical Biosciences Subseries, 2255
Release date:	December 2019
First published:	2019
Contributors:	Frank Ball
Editors:	Tom Britton
Contributors:	Tom Britton
Editors:	Etienne Pardoux
Contributors:	Catherine Laredo • Etienne Pardoux • David Sirl • Viet Chi Tran
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Paperback
Pages:	474
Edition:	1st ed. 2019
ISBN-13:	978-3-03-030899-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	3-03-030899-5
Barcode:	9783030308995

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