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An Introduction to Infectious Disease Modelling
Emilia Vynnycky and Richard White
400 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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13 May 2010
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- Includes worked examples, together with exercises based on real data and real-life problems
- Contains a glossary of key definitions and abbreviations
- Accessible to the majority of readers as it does not assume advanced mathematical skills
- Accompanied by online files and solutions to exercises
Mathematical models are increasingly being used to examine questions in infectious disease control. Applications include predicting the impact of vaccination strategies against common infections and determining optimal control strategies against HIV and pandemic influenza.
This book introduces individuals interested in infectious diseases to this exciting and expanding area. The mathematical level of the book is kept as simple as possible, which makes the book accessible to those who have not studied mathematics to university level. Understanding is further enhanced by models that can be accessed online, which will allow readers to
explore the impact of different factors and control strategies, and further adapt and develop the models themselves.
The book is based on successful courses developed by the authors at the London School of Hygiene and Tropical Medicine. It will be of interest to epidemiologists, public health researchers, policy makers, veterinary scientists, medical statisticians and infectious disease researchers.
Readership: This book will be of interest to epidemiologists, public health researchers, policy makers, veterinary scientists, medical statisticians, infectious disease researchers, health economists and applied mathematicians. Students attending courses on epidemiology or
infectious diseases will find the book helpful, as will epidemiology and infectious disease course tutors.
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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 Please visit the book's website for further information and downloadsContributors:
Introduction by Paul EM Fine, Professor of Infectious Disease
Epidemiology at the London School of Hygiene & Tropical Medicine
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"This is a book that really introduces non-specialists to the growing field of Mathematical Epidemiology. I am sure that public health specialists, epidimiologists, clinicians, veterinarians, statisticians, mathematicians, economists, and even professional modellers will profit from this book. I recommend it to all my students and now to the readers of Epidemiology and Infection" "This is an excellent text book and readers can be assured that 'it does exactly what it says on the tin': provide a thorough introduction to infectious disease modelling. I will be turning to [it] for reference frequently for its clear explanations and topical worked examples." - Sexually Transmitted Infections "This book has grown out of the
experience of the authors teaching such a course for several years at the London School of Tropical Medicine and Hygiene. The Contents are very comprehensive, with chapters on basic terminology concerning infections and transmission, models based on difference equations, models based on differential equations, basic output from models, age patterns, stochastic modelling, contact patterns, models for sexually transmitted infections, some special topics (varicella vaccination and boosting, serotype replacement, tuberculosis control, HIV/STI co-infection) and an appendix on mathematical matters. The basic ideas are illustrated by many examples and case studies, among which several related to very up to date research and references. All relevant keywords and modern catchwords related to
infectious disease modelling are mentioned and explained." - European Journal of Public Health
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Preface
Abbreviations and Glossary
1: 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
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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