Epidemic Modelling: An Introduction (Cambridge Studies in Mathematical Biology, Series Number 15) (Volume 0)

Daley, D. J.; Gani, J.

ISBN 10: 0521014670 / ISBN 13: 9780521014670

Published by Cambridge University Press (edition Revised ed.), 2001

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 0521014670-11-1

Bibliographic Details

• Title: Epidemic Modelling: An Introduction (Cambridge Studies in Mathematical Biology, Series Number 15) (Volume 0)
• Publisher: Cambridge University Press (edition Revised ed.)
• Publication Date: 2001
• Language: English
• ISBN 10: 0521014670
• ISBN 13: 9780521014670
• Binding: Paperback
• Edition: Revised ed.
• Condition: Very Good

About this title

Synopsis

This general introduction to the mathematical techniques needed to understand epidemiology begins with an historical outline of some disease statistics dating from Daniel Bernoulli's smallpox data of 1760. The authors then go on to describe simple deterministic and stochastic models in continuous and discrete time for epidemics taking place in either homogeneous or stratified (nonhomogeneous) populations. They offer a range of methods for constructing and analyzing models, mostly in the context of viral and bacterial diseases of human populations. These models are contrasted with models for rumors and macro-parasitic diseases. Questions of fitting data to models, and the use of models to understand methods for controlling the spread of infection, are discussed. Exercises and complementary results at the end of each chapter extend the scope of the text.

Book Description

This general introduction to the mathematical techniques needed to understand epidemiology begins with an historical outline of some disease statistics, before describing simple mathematical models for epidemics. A range of methods for constructing and analysing models is provided. Questions of fitting data to models, and their use in understanding methods for controlling the spread of infection are discussed. Exercises and complementary results at the end of each chapter extend the scope of the text.