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.
Richard White obtained a BSc (Physics) from Durham University and an MSc (Medical Demography) and PhD (Infectious Disease Modelling) from the London School of Hygiene and Tropical Medicine. He is now Senior Lecturer in Infectious Disease Modelling in the Centre for the Mathematical Modelling of Infectious Diseases at LSHTM and a Medical Research Council Methodology Research Fellow. Richard has worked extensively in recent years using mathematical modelling and classical epidemiological techniques to understand the epidemiology and control of sexually transmitted infections/HIV and other infectious diseases in developing countries. Richard is currently involved in modelling projects on the transmission and control of many infectious diseases including HIV, tuberculosis, herpes simplex virus-2, influenza, human papillomavirus and rift valley fever, in places as diverse as Senegal and Soho. He is associate editor of the journal Sexually Transmitted Infections.
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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