书目名称 | Infectious Disease Informatics |
副标题 | Syndromic Surveillan |
编辑 | Hsinchun Chen,Daniel Zeng,Ping Yan |
视频video | |
概述 | Examines the state of the art in disease surveillance systems.First book to cover the subject from an informatics-driven perspective.Authors are the most respected researchers in informatics.Includes |
丛书名称 | Integrated Series in Information Systems |
图书封面 |  |
描述 | .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 |
出版日期 | Book 2010 |
关键词 | Information Technology (IT); Public Health; Radiologieinformationssystem; assessment; biostatistics; comp |
版次 | 1 |
doi | https://doi.org/10.1007/978-1-4419-1278-7 |
isbn_softcover | 978-1-4614-2539-7 |
isbn_ebook | 978-1-4419-1278-7Series ISSN 1571-0270 Series E-ISSN 2197-7968 |
issn_series | 1571-0270 |
copyright | Springer-Verlag US 2010 |