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Product Identifiers

PublisherOxford University Press, Incorporated

ISBN-100198565763

ISBN-139780198565765

eBay Product ID (ePID)109201084

Product Key Features

Number of Pages368 Pages

LanguageEnglish

Publication NameIntroduction to Infectious Disease Modelling

Publication Year2010

SubjectInfectious Diseases, Epidemiology

TypeTextbook

AuthorRichard White, Emilia Vynnycky

Subject AreaMedical

FormatTrade Paperback

Dimensions

Item Height0.9 in

Item Weight24.7 Oz

Item Length9.2 in

Item Width6.2 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2010-281726

ReviewsThis 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

Dewey Edition22

TitleLeadingAn

IllustratedYes

Dewey Decimal616.9015118

Table Of ContentPreface1. Introduction: the basics - infections, transmission and models2. How are models set up? I. An introduction to difference equations3. How are models set up? II. An introduction to differential equations4. What do models tell us about the dynamics of infections?5. Age patterns6. An introduction to stochastic modelling7. How do models deal with contact patterns?8. Sexually transmitted infections9. Special topics in infectious disease modellingAppendixBasic mathsFurther readingAbbreviations and glossaryCommonly used symbolsUseful equations

SynopsisMathematical 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., 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., This book will provide public health and infectious disease researchers with the tools to use and critically evaluate the mathematical models that are increasingly being used to interpret and predict the dynamics and control of infectious diseases., 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.

LC Classification NumberRA643