Infectious disease informatics : syndromic surveillance for public health and biodefense / by Hsinchun Chen, Daniel Zeng, Ping Yan
- 作者： Chen, Hsinchun.
- 其他作者：
- 其他題名：
- Springer eBooks
- Infectious disease informatics, syndromic surveillance for public health and bio-defense
- Syndromic surveillance for public health and biodefense
- 出版： Boston, MA : Springer Science+Business Media, LLC 2010
- 叢書名： Integrated series in information systems ,21
- 主題： Medical informatics. , Communicable diseases--Data processing. , Public health--Data processing. , Public health surveillance. , Medicine & Public Health. , Health Informatics. , Public Health/Gesundheitswesen. , Business Information Systems. , e-Commerce/e-business. , Information Systems and Communication Service. , Epidemiology.
- ISBN： 9781441912787 (electronic bk.) 、 9781441912770 (paper)
- URL：
電子書
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讀者標籤：
- 系統號： 005172332 | 機讀編目格式
館藏資訊
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.