Stochastic Epidemic Models with Inference / edited by Tom Britton, Etienne Pardoux.

Format:

Book

Contributor:

Britton, Tom, editor.

Pardoux, E. (Etienne), 1947- editor.

SpringerLink (Online service)

Series:

Mathematics and Statistics (Springer-11649)

Lecture notes in mathematics (Springer-Verlag). Mathematical biosciences subseries 2524-6771 ; 2255.

Mathematical Biosciences Subseries, 2524-6771 ; 2255

Language:

English

Subjects (All):

Probabilities.

Epidemiology.

Biomathematics.

Probability Theory and Stochastic Processes.

Mathematical and Computational Biology.

Local Subjects:

Probability Theory and Stochastic Processes.

Epidemiology.

Mathematical and Computational Biology.

Physical Description:

1 online resource (XVIII, 474 pages) : 28 illustrations, 17 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-30900-8

9783030309008

Access Restriction:

Restricted for use by site license.