Infectious Disease Informatics (Integrated Series in Information Systems, 21) [Hardcover] Chen

Chen

ISBN 10: 1441912770 / ISBN 13: 9781441912770

Edité par Springer, 2009

A propos de cet article

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N° de réf. du vendeur 18-1219202404

Détails bibliographiques

• Titre: Infectious Disease Informatics (Integrated Series in Information Systems, 21) [Hardcover] Chen
• Éditeur: Springer
• Date de parution: 2009
• Langue: anglais
• ISBN à 10 chiffres: 1441912770
• ISBN à 13 chiffres: 9781441912770
• Reliure: hardcover
• État de l'article: Very Good
• Poids: 18 onces

A propos de ce titre

Synopsis

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.