Infectious Disease Informatics
Produktnummer:
18d64905b62ff3464fbac660a2e97a4abf
Autor: | Chen, Hsinchun Yan, Ping Zeng, Daniel |
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Themengebiete: | Information Technology (IT) Public Health Radiologieinformationssystem assessment biostatistics computer science infectious infectious disease infectious diseases information processing |
Veröffentlichungsdatum: | 25.02.2012 |
EAN: | 9781461425397 |
Sprache: | Englisch |
Seitenzahl: | 210 |
Produktart: | Kartoniert / Broschiert |
Verlag: | Springer US |
Untertitel: | Syndromic Surveillance for Public Health and Bio-Defense |
Produktinformationen "Infectious Disease Informatics"
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.

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