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.
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
"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
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