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Daley, D. J.; Gani, J. - Epidemic Modelling - 9780521014670 - V9780521014670
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Epidemic Modelling

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Description for Epidemic Modelling Paperback. This is a general introduction to the mathematical modelling of diseases. Series Editor(s): Cannings, C.; Hoppensteadt, F. C.; Segel, L. A. Series: Cambridge Studies in Mathematical Biology. Num Pages: 228 pages, 35 tables 51 exercises. BIC Classification: MBN; PBT; PBWH. Category: (P) Professional & Vocational. Dimension: 228 x 153 x 14. Weight in Grams: 362.
This general introduction to the ideas and techniques required for the mathematical modelling of diseases begins with an outline of some disease statistics dating from Daniel Bernoulli's 1760 smallpox data. The authors then describe simple deterministic and stochastic models in continuous and discrete time for epidemics taking place in either homogeneous or stratified (non-homogeneous) populations. Several techniques for constructing and analysing models are provided, mostly in the context of viral and bacterial diseases of human populations. These models are contrasted with models for rumours and vector-borne diseases like malaria. Questions of fitting data to models, and their use in understanding ... Read more

Product Details

Format
Paperback
Publication date
2008
Publisher
Cambridge University Press United Kingdom
Number of pages
228
Condition
New
Series
Cambridge Studies in Mathematical Biology
Number of Pages
228
Place of Publication
Cambridge, United Kingdom
ISBN
9780521014670
SKU
V9780521014670
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1

Reviews for Epidemic Modelling
'... It gives an excellent general introduction to epidemic modelling, starting with an interesting historical account and then describing the most important and useful models which can be used.' Robert MacMillan, Mathematical Gazette 'The book will be accessible ... and its study highly rewarding, to anyone with an interest in epidemic models...' V. S. Isham, Short Book Reviews 'Daley and ... Read more

Goodreads reviews for Epidemic Modelling