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Modeling infectious diseases in humans and animals

著者: Matthew James Keeling; Pejman Rohani
出版: Princeton : Princeton University Press, ©2008.
エディション/フォーマット:   書籍 : Englishすべてのエディションとフォーマットを見る
データベース:WorldCat
概要:
"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  続きを読む
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資料の種類: インターネット資料
ドキュメントの種類: 図書, インターネットリソース
すべての著者/寄与者: Matthew James Keeling; Pejman Rohani
ISBN: 9780691116174 0691116172
OCLC No.: 163616681
物理形態: xi, 366 p. : ill., maps ; 27 cm.
コンテンツ: Introduction to simple epidemic models --
Host heterogeneities --
Multi-pathogen / multi-host models --
Temporally forced models --
Stochastics dynamics --
Spatial models --
Controlling infectious diseases.
責任者: Matt J. Keeling and Pejman Rohani.
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概要:

Offers an introduction to the modeling of infectious diseases in humans and animals. This book moves from modeling with simple differential equations to more complex models, where spatial structure,  続きを読む

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"Matt Keeling and Pejman Rohani...have made important and original contributions to epidemiology...and are well qualified to deliver an authoritative, comprehensive and up-to-date review. [The 続きを読む

 
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schema:reviewBody""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."
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