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This book on Infectious Disease Informatics (IDI) and
biosurveillance is intended to provide an integrated view of the
current state of the art, identify technical and policy challenges
and opportunities, and promote cross-disciplinary research that
takes advantage of novel methodology and what we have learned from
innovative applications. This book also fills a systemic gap in the
literature by emphasizing informatics driven perspectives (e.g.,
information system design, data standards, computational aspects of
biosurveillance algorithms, and system evaluation). Finally, this
book attempts to reach policy makers and practitioners through the
clear and effective communication of recent research findings in
the context of case studies in IDI and biosurveillance, providing
"hands-on" in-depth opportunities to practitioners to increase
their understanding of value, applicability, and limitations of
technical solutions. This book collects the state of the art
research and modern perspectives of distinguished individuals and
research groups on cutting-edge IDI technical and policy research
and its application in biosurveillance. The contributed chapters
are grouped into three units. Unit I provides an overview of recent
biosurveillance research while highlighting the relevant legal and
policy structures in the context of IDI and biosurveillance ongoing
activities. It also identifies IDI data sources while addressing
information collection, sharing, and dissemination issues as well
as ethical considerations. Unit II contains survey chapters on the
types of surveillance methods used to analyze IDI data in the
context of public health and bioterrorism. Specific computational
techniques covered include: text mining, time series analysis,
multiple data streams methods, ensembles of surveillance methods,
spatial analysis and visualization, social network analysis, and
agent-based simulation. Unit III examines IT and decision support
for public health event response and bio-defense. Practical lessons
learned in developing public health and biosurveillance systems,
technology adoption, and syndromic surveillance for large events
are discussed. The goal of this book is to provide an
understandable interdisciplinary IDI and biosurveillance reference
either used as a standalone textbook or reference for students,
researchers, and practitioners in public health, veterinary
medicine, biostatistics, information systems, computer science, and
public administration and policy.
This book on Infectious Disease Informatics (IDI) and
biosurveillance is intended to provide an integrated view of the
current state of the art, identify technical and policy challenges
and opportunities, and promote cross-disciplinary research that
takes advantage of novel methodology and what we have learned from
innovative applications. This book also fills a systemic gap in the
literature by emphasizing informatics driven perspectives (e.g.,
information system design, data standards, computational aspects of
biosurveillance algorithms, and system evaluation). Finally, this
book attempts to reach policy makers and practitioners through the
clear and effective communication of recent research findings in
the context of case studies in IDI and biosurveillance, providing
"hands-on" in-depth opportunities to practitioners to increase
their understanding of value, applicability, and limitations of
technical solutions. This book collects the state of the art
research and modern perspectives of distinguished individuals and
research groups on cutting-edge IDI technical and policy research
and its application in biosurveillance. The contributed chapters
are grouped into three units. Unit I provides an overview of recent
biosurveillance research while highlighting the relevant legal and
policy structures in the context of IDI and biosurveillance ongoing
activities. It also identifies IDI data sources while addressing
information collection, sharing, and dissemination issues as well
as ethical considerations. Unit II contains survey chapters on the
types of surveillance methods used to analyze IDI data in the
context of public health and bioterrorism. Specific computational
techniques covered include: text mining, time series analysis,
multiple data streams methods, ensembles of surveillance methods,
spatial analysis and visualization, social network analysis, and
agent-based simulation. Unit III examines IT and decision support
for public health event response and bio-defense. Practical lessons
learned in developing public health and biosurveillance systems,
technology adoption, and syndromic surveillance for large events
are discussed. The goal of this book is to provide an
understandable interdisciplinary IDI and biosurveillance reference
either used as a standalone textbook or reference for students,
researchers, and practitioners in public health, veterinary
medicine, biostatistics, information systems, computer science, and
public administration and policy.
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Biosurveillance and Biosecurity - International Workshop, BioSecure 2008, Raleigh, NC, USA, December 2, 2008. Proceedings (Paperback, 2008 ed.)
Daniel Zeng, Hsinchun Chen, Henry Rolka, William B. Lober
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R1,539
Discovery Miles 15 390
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Ships in 10 - 15 working days
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The 2008 Biosurveillance and Biosecurity Workshop (BioSecure 2008)
was built on the success of the two U. S. National Science
Foundation-sponsored Biosurveillance Workshops. The inaugural 2006
workshop was hosted by the University of Arizona's NSF BioPortal
Center. It attracted more than 35 participants from academic insti-
tions, industry, and public health agencies, and achieved its
objective of bringing together infectious disease informatics (IDI)
researchers and practitioners to discuss selected topics directly
relevant to data sharing and analysis for real-time animal and
public health surveillance. The 2007 meeting was held in New
Brunswick, New J- sey, co-located with the 2007 IEEE International
Conference on Intelligence and - curity Informatics, and met with
tremendous success. Researchers from a wide range of backgrounds,
including biosecurity, epidemiology, statistics, applied
mathematics, information systems, computer science and machine
learning/data mining, contributed formal papers to the workshop and
actively participated in the meeting along with practitioners from
both government agencies and industry. More than 65 people - tended
the one-day workshop, representing major research labs across
multiple dis- plines, key industry players, and a range of
government entities. BioSecure 2008 continued this workshop series
aiming to achieve the following objectives: (a) review and examine
various informatics approaches for health surve- lance and
biosecurity from both technological and policy perspectives; and
(b) discuss and compare various systems approaches and algorithms
of relevance to biosurve- lance and biosecurity.
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