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RECORD NUMBER: 41 OF 64

OLS Field Name OLS Field Data
Main Title Modeling infectious diseases in humans and animals /
Author Keeling, Matthew James.
Other Authors
Author Title of a Work
Rohani, Pejman.
Publisher Princeton University Press,
Year Published 2008
OCLC Number 163616681
ISBN 9780691116174; 0691116172
Subjects Communicable diseases--Mathematical models. ; Communicable diseases in animals--Mathematical models. ; Epidemiologic Methods. ; Communicable Diseases--epidemiology. ; Communicable Disease Control--methods. ; Models, Theoretical. ; infectious diseases. ; Matematiska modeller.
Internet Access
Description Access URL
http://www.loc.gov/catdir/enhancements/fy0726/2006939548-b.html
http://www.loc.gov/catdir/enhancements/fy0726/2006939548-d.html
Contributor biographical information http://catdir.loc.gov/catdir/enhancements/fy0726/2006939548-b.html
Publisher description http://catdir.loc.gov/catdir/enhancements/fy0726/2006939548-d.html
http://books.google.com/books?isbn=9780691116174
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
ESBM  RA643.K395 2008 NHEERL/WED Library/Corvallis,OR 12/01/2008
Collation xi, 366 pages : illustrations, maps ; 27 cm
Notes
Includes bibliographical references (pages 337-359) and index.
Contents Notes
Introduction to simple epidemic models -- Host heterogeneities -- Multi-pathogen / multi-host models -- Temporally forced models -- Stochastics dynamics -- Spatial models -- Controlling infectious diseases. "For epidemiologists, evolutionary biologists, and health-care professionals, real-time and predictive modeling of infectious disease is of growing importance. This book provides a timely and comprehensive introduction to the modeling of infectious diseases in humans and animals, focusing on recent developments as well as more traditional approaches." "Matt Keeling and Pejman Rohani move from modeling with simple differential equations to more recent, complex models, where spacial structure, seasonal "forcing," or stochasticity influence the dynamics, and where computer simulation needs to be used to generate theory. In each of the eight chapters, they deal with a specific modeling approach or set of techniques designed to capture a particular biological factor. The illustrate the methodology used with examples from recent research literature on human and infectious disease modeling, showing how such techniques can be used in practice. Diseases considered include BSE, foot-and-mouth, HIV, measles, rubella, smallpox, and West Nile virus, among others. Particular attention is given throughout the book to the development of practical models, useful both as predictive tools and as a means to understand fundamental epidemiological processes. To emphasize this approach, the last chapter is dedicated to modeling and understanding the control of diseases throughout vaccination, quarantine, or calling."--Jacket.