About this book
- 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.
Table of Contents
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
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
Introduction by Paul EM Fine, Professor of Infectious Disease Epidemiology at the London School of Hygiene & Tropical Medicine