000 04252nam a22005775i 4500
001 978-1-4419-1278-7
003 DE-He213
005 20140220084505.0
007 cr nn 008mamaa
008 100715s2010 xxu| s |||| 0|eng d
020 _a9781441912787
_9978-1-4419-1278-7
024 7 _a10.1007/978-1-4419-1278-7
_2doi
050 4 _aR858-859.7
072 7 _aMBG
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aMED000000
_2bisacsh
082 0 4 _a502.85
_223
100 1 _aChen, Hsinchun.
_eauthor.
245 1 0 _aInfectious Disease Informatics
_h[electronic resource] :
_bSyndromic Surveillance for Public Health and BioDefense /
_cby Hsinchun Chen, Daniel Zeng, Ping Yan.
264 1 _aBoston, MA :
_bSpringer US :
_bImprint: Springer,
_c2010.
300 _aXXIII, 209p. 68 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntegrated Series in Information Systems,
_x1571-0270 ;
_v21
505 0 _aSYNDROMIC SURVEILLANCE SYSTEMS -- Infectious Disease Informatics: An Introduction and An Analysis Framework -- Public Health Syndromic Surveillance Systems -- Syndromic Surveillance Data Sources and Collection Strategies -- Data Analysis and Outbreak Detection -- Data Visualization, Information Dissemination, and Alerting -- System Assessment and Evaluation -- SYNDROMIC SURVEILLANCE SYSTEM CASE STUDIES -- BioSense -- RODS -- BioPortal -- ESSENCE -- New York City Syndromic Surveillance Systems -- EARS -- Argus -- HealthMap -- Challenges and Future Directions.
520 _aComputer-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.
650 0 _aMedicine.
650 0 _aPublic health.
650 0 _aMedical records
_xData processing.
650 0 _aEpidemiology.
650 0 _aInformation systems.
650 0 _aManagement information systems.
650 1 4 _aMedicine & Public Health.
650 2 4 _aHealth Informatics.
650 2 4 _aPublic Health.
650 2 4 _aBusiness Information Systems.
650 2 4 _ae-Commerce/e-business.
650 2 4 _aInformation Systems and Communication Service.
650 2 4 _aEpidemiology.
700 1 _aZeng, Daniel.
_eauthor.
700 1 _aYan, Ping.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441912770
830 0 _aIntegrated Series in Information Systems,
_x1571-0270 ;
_v21
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-1278-7
912 _aZDB-2-SBE
999 _c110362
_d110362