株式会社極東書店トップ商品一覧Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense. 2010 ed.

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Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense. 2010 ed.

Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense. 2010 ed.

・ISBN 978-1-4614-2539-7 paper

お気に入り
著者・編者Chen, Hsinchun / Zeng, Daniel / Yan, Ping,
シリーズ (Integrated Series in Information Systems)
出版社 (Springer-Verlag New York Inc., US)
出版年月2012
ページ数210 pp.
言語ENG
ニュース番号<A05-45814>

解説

Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance. Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense is an in-depth monograph that analyzes and evaluates the outbreak modeling and detection capabilities of existing surveillance systems under a unified framework, and presents the first book-length coverage of the subject from an informatics-driven perspective.

Individual chapters consider the state of the art, including the facilitation of data collection, sharing and transmission; a focus on various outbreak detection methods; data visualization and information dissemination issues; and system assessment and other policy issues. Eight chapters then report on several real-world case studies, summarizing and comparing eight syndromic surveillance systems, including those that have been adopted by many public health agencies (e.g., RODS and BioSense). The book concludes with a discussion of critical issues and challenges, with a look to future directions.

This book is an excellent source of current information for researchers in public health and IT. Government public health officials and private-sector practitioners in both public health and IT will find the most up-to-date information available, and students from a variety of disciplines, including public health, biostatistics, information systems, computer science, and public administration and policy will get a comprehensive look at the concepts, techniques, and practices of syndromic surveillance.