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An Introduction to Infectious Disease Modelling
Emilia Vynnycky and Richard White
368 pages
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220 black and white line drawings
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234x156mm
978-0-19-856576-5
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Paperback
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March 2010 (estimated)
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This item is not yet published. Orders for not-yet-published items are supplied and charged immediately on publication.
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- Does not assume advanced mathematical skills so is accessible to the majority of readers without advanced mathematical skills
- Is accompanied by online files and exercises and solutions
- Contains a glossary of key definitions and abbreviations
Mathematical modelling is increasingly being applied to interpret and predict the dynamics and control of infectious diseases. Applications include predicting the impact of vaccination strategies against common infections and determining optimal control strategies against HIV and malaria. Though many public health and infectious disease researchers are aware that mathematical modelling would be of use to them, few have had any formal training in this area. As a result, they are ill-equipped either to use models or to even critically evaluate the modelling work of other researchers. Though several texts on the mathematical modelling of infectious disease
transmission have been published to date, they have either been targeted at modellers, or they have illustrated how mathematical equations have informed the dynamics and control of infectious diseases without explaining how these equations might be set up and solved.
This book is designed to fill this gap. By reading the book and completing the accompanying exercises, readers will understand the basic methods for setting up mathematical models and how and where models can be applied. They will also gain an improved understanding of the factors which influence the patterns and trends in infectious diseases. This book will be of interest to epidemiologists, public health researchers, policy makers, veterinary scientists, medical statisticians and infectious disease
researchers.Readership: Epidemiologists, public health researchers, policy makers, veterinary scientists, medical statisticians and infectious disease researchers.
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Emilia Vynnycky, Senior scientist, Health Protection Agency, Centre for Infections, London, UK, and Richard White, Senior Lecturer in Infectious Disease Modelling/MRC Methodology Research Fellow, Centre for the Mathematical Modelling of Infectious Diseases and Infectious Disease Epidemiology Unit, London School of Hygiene and Tropical Medicine, London, UK Contributors:
None
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Preface
1: Paul E. M. Fine: Introduction: the basics - infections, transmission and models
2: How are models set up? I. An introduction to difference equations
3: How are models set up? II. An introduction to differential equations
4: What do models tell us about the dynamics of infections?
5: Age patterns
6: An introduction to stochastic modelling
7: How do models deal with contact patterns?
8: Sexually transmitted infections
9: Special topics in infectious disease modelling
Appendix
Basic maths
Further reading
Abbreviations and glossary
Commonly used symbols
Useful equations
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The specification in this catalogue, including without limitation price, format, extent, number of illustrations, and month of publication, was as accurate as possible at the time the catalogue was compiled. Occasionally, due to the nature of some contractual restrictions, we are unable to ship a specific product to a particular territory. Jacket images are provisional and liable to change before publication.
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