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The 2007 NSF BioSurveillance Workshop (BioSurveillance 2007) was built on the success of the first NSF BioSurveillance Workshop, hosted by the University of Arizona's NSF BioPortal Center in March 2006. BioSurveillance 2007 brought - gether 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. These researchers and practitioners represented a wide range of backgrounds including but not limited to epidemiology, statistics, applied mathematics, information systems, computer science and machine learning/data mining. BioSurveillance 2007 aimed to achieve the following objectives: (a) review and examine various real-time data sharing approaches for animal and public health s- veillance from both technological and policy perspectives; (b) identify key technical challenges facing syndromic surveillance for both animal and human diseases, and discuss and compare related systems approaches and algorithms; and (c) provide a forum to bring together IDI researchers and practitioners to identify future research opportunities. We are pleased that we received many outstanding contributions from IDI research groups and practitioners from around the world. The one-day program included one invited presentation, 17 long papers, six short papers, and two posters. BioSurveillance 2007 was jointly hosted by: the University of Arizona; University of California, Davis; Rutgers, The State University of New Jersey; and the University of Washington.
Autorentext
Hsinchun Chen is McClelland Professor of Management Information Systems (MIS) at the Eller College of the University of Arizona and Andersen Consulting Professor of the Year (1999). He is the author of 15 books and more than 200 articles covering knowledge management, digital library, homeland security, Web computing, and biomedical informatics in leading information technology publications. He serves on ten editorial boards, including: Journal of the American Society for Information Science and Technology, ACM Transactions on Information Systems, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Intelligent Transportation Systems, International Journal of Digital Library, and Decision Support Systems. He has served as a Scientific Advisor/Counselor of the National Library of Medicine (USA), Academia Sinica (Taiwan), and National Library of China (China). Dr. Chen founded The University of Arizona Artificial Intelligence Lab in 1990. The group is distinguished for its applied and high-impact AI research. Since 1990, Dr. Chen has received more than $20M in research funding from various government agencies and major corporations. He has been a PI of the NSF Digital Library Initiative Program and the NIH NLM s Biomedical Informatics Program. His group has developed advanced medical digital library and data and text mining techniques for gene pathway and disease informatics analysis and visualization since 1995. Dr. Chen s nanotechnology patent analysis works, funded by NSF, have been published in the Journal of Nanoparticle Research. His research findings were used in the President s Council of Advisors in Science and Technology s report on "The National Nanotechnology Initiative at Five Years: Assessment and Recommendations of the National Nanotechnology Advisory Panel." Dr. Chen s work also has been recognized by major US corporations and been awarded numerous industry awards for his contribution to IT education and research, including: ATT Foundation Award in Science and Engineering and SAP Award in Research/Applications. Dr. Chen has been heavily involved in fostering digital library, medical informatics, knowledge management, and intelligence informatics research and education in the US and internationally. He has been a PI for more than 20 NSF and NIH research grants since 1990. Dr. Chen is conference chair of ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2004 and has served as the conference general chair or international program committee chair for the past six International Conferences of Asian Digital Libraries (ICADL), 1998-2005. He has been instrumental in fostering the ICADL activities in Asia. Dr. Chen is the founder and also conference co-chair of the IEEE International Conference on Intelligence and Security Informatics (ISI), 2003-2006. The ISI conference has become the premiere meeting for international, national, and homeland security IT research. Dr. Chen is an IEEE fellow.
Inhalt
Long Papers.- Early Outbreak Detection Using an Automated Data Feed of Test Orders from a Veterinary Diagnostic Laboratory.- Chinese Chief Complaint Classification for Syndromic Surveillance.- Incorporating Geographical Contacts into Social Network Analysis for Contact Tracing in Epidemiology: A Study on Taiwan SARS Data.- A Model for Characterizing Annual Flu Cases.- Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems.- Data Classification for Selection of Temporal Alerting Methods for Biosurveillance.- High Performance Computing for Disease Surveillance.- Towards Real Time Epidemiology: Data Assimilation, Modeling and Anomaly Detection of Health Surveillance Data Streams.- Algorithm Combination for Improved Performance in Biosurveillance Systems.- Decoupling Temporal Aberration Detection Algorithms for Enhanced Biosurveillance.- Assessing Seasonal Variation in Multisource Surveillance Data: Annual Harmonic Regression.- A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data.- A Web-Based System for Infectious Disease Data Integration and Sharing: Evaluating Outcome, Task Performance Efficiency, User Information Satisfaction, and Usability.- Public Health Affinity Domain: A Standards-Based Surveillance System Solution.- The Influenza Data Summary: A Prototype Application for Visualizing National Influenza Activity.- Global Foot-and-Mouth Disease Surveillance Using BioPortal.- Utilization of Predictive Mathematical Epidemiological Modeling in Crisis Preparedness Exercises.- Short Papers.- Ambulatory e-Prescribing: Evaluating a Novel Surveillance Data Source.- Detecting the Start of the Flu Season.- Syndromic Surveillance for Early Detection of Nosocomial Outbreaks.- A Bayesian Biosurveillance Method That Models Unknown Outbreak Diseases.- Spatial Epidemic Patterns Recognition Using Computer Algebra.- Detecting Conserved RNA Secondary Structures in Viral Genomes: The RADAR Approach.- Extended Abstracts.- Gemina: A Web-Based Epidemiology and Genomic Metadata System Designed to Identify Infectious Agents.- Internet APRS Data Utilization for Biosurveillance Applications.