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04280nam a22006015i 4500 |
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978-1-4419-1278-7 |
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DE-He213 |
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20151204185907.0 |
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100715s2010 xxu| s |||| 0|eng d |
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|a 9781441912787
|9 978-1-4419-1278-7
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|a 10.1007/978-1-4419-1278-7
|2 doi
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|a R858-859.7
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|a MBG
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|a UB
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|a MED000000
|2 bisacsh
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|a 502.85
|2 23
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|a Chen, Hsinchun.
|e author.
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|a Infectious Disease Informatics
|h [electronic resource] :
|b Syndromic Surveillance for Public Health and BioDefense /
|c by Hsinchun Chen, Daniel Zeng, Ping Yan.
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|a Boston, MA :
|b Springer US :
|b Imprint: Springer,
|c 2010.
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300 |
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|a XXIV, 210 p. 68 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Integrated Series in Information Systems,
|x 1571-0270 ;
|v 21
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|a SYNDROMIC 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.
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|a 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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650 |
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|a Medicine.
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|a Information technology.
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|a Business
|x Data processing.
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|a Public health.
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|a Health informatics.
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|a Epidemiology.
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|a Computers.
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|a E-commerce.
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|a Medicine & Public Health.
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|a Health Informatics.
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|a Public Health.
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|a IT in Business.
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|a e-Commerce/e-business.
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|a Information Systems and Communication Service.
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|a Epidemiology.
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700 |
1 |
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|a Zeng, Daniel.
|e author.
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700 |
1 |
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|a Yan, Ping.
|e author.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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8 |
|i Printed edition:
|z 9781441912770
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830 |
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|a Integrated Series in Information Systems,
|x 1571-0270 ;
|v 21
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856 |
4 |
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|u http://dx.doi.org/10.1007/978-1-4419-1278-7
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SME
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950 |
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|a Medicine (Springer-11650)
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