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OverviewFor those who want a systematic introduction to the mathematical theory of modelling epidemics in structured populations, this text presents a clear and coherent discussion of important issues, concepts, and phenomena in the mathematical epidemiology of infectious diseases. Model construction, analysis and interpretation receive detailed attention throughout the text. Furthermore, it presents the stochastic and deterministic models based on assumptions about mechanisms at the individual level, from which the consequences for dynamical phenomena at the population level are extrapolated. It also contains many exercises with detailed answers intended to enhance a reader's critical awareness of the concepts involved, providing them with a firm foundation when turning to the current literature on mathematical modelling of infectious diseases. Assumes a working knowledge of calculus, linear algebra, differential equations, and elementary stochastic processes, but no prior exposure to epidemic concepts. Full Product DetailsAuthor: O. Diekmann , J. A. P. HeesterbeekPublisher: John Wiley and Sons Ltd Imprint: John Wiley & Sons Ltd Dimensions: Width: 18.00cm , Height: 2.70cm , Length: 25.10cm Weight: 0.744kg ISBN: 9780471986829ISBN 10: 0471986828 Pages: 320 Publication Date: 01 February 2000 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Out of Print Availability: In Print ![]() Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock. Table of ContentsReviews...a comprehensive well-written text... --Mathematics Today, October 2000 An excellent text, ideal for a postgraduate mathematical biology course. A clear exposition with emphasis on both intuition and rigorous mathematical<br> <br> development.<br> <br> It is a real tour de force - a mine of wisdom and intuition. The style has just the right level of informality and the way in which the main exposition is separated from the elaborations works extremely well., Professor Valerie Isham, Head of Department, Department of Statistical Science, University College London, UK# Author InformationTab Content 6Author Website:Countries AvailableAll regions |