9780198565765-0198565763-An Introduction to Infectious Disease Modelling

An Introduction to Infectious Disease Modelling

ISBN-13: 9780198565765
ISBN-10: 0198565763
Edition: 1
Author: Richard White, Emilia Vynnycky
Publication date: 2010
Publisher: Oxford University Press
Format: Paperback 400 pages
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Book details

ISBN-13: 9780198565765
ISBN-10: 0198565763
Edition: 1
Author: Richard White, Emilia Vynnycky
Publication date: 2010
Publisher: Oxford University Press
Format: Paperback 400 pages

Summary

An Introduction to Infectious Disease Modelling (ISBN-13: 9780198565765 and ISBN-10: 0198565763), written by authors Richard White, Emilia Vynnycky, was published by Oxford University Press in 2010. With an overall rating of 3.5 stars, it's a notable title among other Linguistics (Words, Language & Grammar ) books. You can easily purchase or rent An Introduction to Infectious Disease Modelling (Paperback, Used) from BooksRun, along with many other new and used Linguistics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $10.92.

Description

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 controlstrategies against HIV and pandemic influenza. This book introduces individuals interested in infectiousdiseases to this exciting and expanding area. Themathematical level of the book is kept as simple aspossible, which makes the book accessible to those who havenot studied mathematics to university level. Understandingis further enhanced by models that can be accessed online, which will allow readers to explore the impact of differentfactors and control strategies, and further adapt anddevelop the models themselves. The book is based on successful courses developed by theauthors at the London School of Hygiene and TropicalMedicine. It will be of interest to epidemiologists, publichealth researchers, policy makers, veterinary scientists, medical statisticians and infectious disease researchers.

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