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Mathematical Biosciences Subseries

Stochastic Epidemic Models with Inference

Editors: Britton, Tom, Pardoux, Etienne (Eds.)

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  • Most detailed and broad treatment of stochastic epidemic models ever published in one volume
  • Covers both classical and new results and methods, from mathematical models to statistical procedures
  • Aimed at PhD students and Post Docs in mathematical sciences
  • Includes numerous Examples and Exercises (some with solutions) 
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eBook $44.99
price for USA in USD (gross)
  • ISBN 978-3-030-30900-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-30899-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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 the authors

Tom Britton is professor at the Department of Mathematics at Stockholm University. His research focuses on stochastic modelling, and inference procedures, for biological and medical problems, in particular models for the spread of infectious diseases, networks and phylogenetics. He is the author of more than 100 publications, and two monographs about models and analysis of infectious disease spreading.

Etienne Pardoux is professor emeritus at the Institut de Mathématiques de Marseille, within Aix Marseille Univ. His research has covered several topics of stochastic analysis, in particular stochastic partial differential equations, backward stochastic differential equations and homogenization. More recently, he has turned his interests towards evolutionary biology and modeling of infectious diseases. He is the author of more than 160 publications, including four books.

Table of contents (15 chapters)

Table of contents (15 chapters)

Buy this book

eBook $44.99
price for USA in USD (gross)
  • ISBN 978-3-030-30900-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-30899-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Stochastic Epidemic Models with Inference
Editors
  • Tom Britton
  • Etienne Pardoux
Series Title
Mathematical Biosciences Subseries
Series Volume
2255
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-30900-8
DOI
10.1007/978-3-030-30900-8
Softcover ISBN
978-3-030-30899-5
Series ISSN
2524-6771
Edition Number
1
Number of Pages
XVIII, 474
Number of Illustrations
11 b/w illustrations, 17 illustrations in colour
Topics