HERMES-Catalog

Epidemic modelling : an introduction / D.J. Daley and J. Gani
(Cambridge studies in mathematical biology ; 15)

Publisher	Cambridge : Cambridge University Press
Year	1999
Authors	*Daley, Daryl J. author Gani, J. M author

Hide book details.

Links to the text	Location	Volume	Call No.	Barcode No.	Status	Comments	ISBN	Printed	Restriction	Reserve
Links to the text	Library Off-campus access			OB00108899		Cambridge Core All Books (電子ブック)	9780511608834

Hide details.

Material Type	E-Book
Media type	機械可読データファイル
Size	1 online resource (xii, 213 pages) : digital, PDF file(s)
Notes	Title from publisher's bibliographic system (viewed on 05 Oct 2015) Some history -- Deterministic models -- Stochastic models in continuous time -- Stochastic models in discrete time -- Rumours: modelling spread and its cessation -- Fitting epidemic data -- The control of epidemics 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 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, which will be useful for students taking courses in mathematical biology who have some basic knowledge of probability and statistics HTTP:URL=https://doi.org/10.1017/CBO9780511608834
Subjects	LCSH:Epidemiology -- Mathematical models All Subject Search LCSH:Epidemiology -- Statistical methods All Subject Search
Classification	LCC:RA652.2.M3 DC21:614.4/01/5
ID	8000068659
ISBN	9780511608834