Emerging diseases pose a continual threat to public health. Short multiplication time and high variability allow pathogens to evolve very rapidly. It is therefore imperative to incorporate evolutionary considerations into longer-term health management plans. The evolution of infectious disease is also an ideal test-bed for theories of evolutionary dynamics. This book combines both threads, taking stock of our current knowledge on the evolutionary ecology of infectious diseases, and setting out the goals for the management of virulent pathogens. Throughout the book, the fundamental concepts and techniques underlying the modelling are carefully explained in a unique series of integrated boxes. The book ends with an overview of novel options for virulence management in humans, farm animals, plants, wildlife populations and biological control schemes. Written for graduate students and researchers, Adaptive Dynamics of Infectious Diseases provides an integrated treatment of mathematical evolutionary modelling and disease management.
"synopsis" may belong to another edition of this title.
Ulf Dieckmann is Project Coordinator of the Adaptive Dynamics Network at the International Institute for Applied Systems Analysis (IIASA) in Laxenburg, Austria. He is coeditor of The Geometry of Ecological Interactions.
J. (Hans) A. J. Metz is Professor of Mathematical Biology at the Institute of Evolutionary and Ecological Sciences at the University of Leiden, and Project Leader of the Adaptive Dynamics Network at IIASA. He is coeditor of The Geometry of Ecological Interactions.
Maurice W. Sabelis is at the Institute for Biodiversity and Ecosystem Dynamics at the University of Amsterdam.
Karl Sigmund is Professor at the Institute for Mathematics at the University of Vienna and also a Research Associate with the Adaptive Dynamics Network at IIASA. He is coauthor of Evolutionary Games and Population Dynamics.
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Condition: New. An integrated study of the evolutionary ecology of infectious diseases and the management of virulent pathogens. Editor(s): Dieckmann, Ulf; Metz, Johan A. J.; Sabelis, Maurice W. (Universiteit van Amsterdam); Sigmund, Karl. Series Editor(s): Law, Richard; Metz, Hans. Series: Cambridge Studies in Adaptive Dynamics. Num Pages: 552 pages, 118 b/w illus. 12 tables. BIC Classification: MBNS; TQ. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 31. Weight in Grams: 800. . 2008. Pbk Version ed. paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9780521022132
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Paperback. Condition: new. Paperback. Emerging diseases pose a continual threat to public health. Short multiplication time and high variability allow pathogens to evolve very rapidly. It is therefore imperative to incorporate evolutionary considerations into longer-term health management plans. The evolution of infectious disease is also an ideal test-bed for theories of evolutionary dynamics. This book combines both threads, taking stock of our current knowledge on the evolutionary ecology of infectious diseases, and setting out the goals for the management of virulent pathogens. Throughout the book, the fundamental concepts and techniques underlying the modelling are carefully explained in a unique series of integrated boxes. The book ends with an overview of novel options for virulence management in humans, farm animals, plants, wildlife populations and biological control schemes. Written for graduate students and researchers, Adaptive Dynamics of Infectious Diseases provides an integrated treatment of mathematical evolutionary modelling and disease management. Infectious diseases evolve rapidly, relentlessly threatening the health of humankind. Newly emerging diseases and the increasing incidence of antibiotic resistance, in particular, suggest that responsible health management must no longer ignore the continual adaptation of pathogens. In this volume, world experts on disease evolution offer their integrated knowledge. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521022132
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