Intelligence and Security Informatics: Biosurveillance

1. Front Matter

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2. Long Papers

   1. Biosurveillance Data Feed and Processing

      1. Early Outbreak Detection Using an Automated Data Feed of Test Orders from a Veterinary Diagnostic Laboratory

         • Loren Shaffer, Julie Funk, Päivi Rajala-Schultz, Garrick Wallstrom, Thomas Wittum, Michael Wagner et al.

         Pages 1-10

      2. Chinese Chief Complaint Classification for Syndromic Surveillance

         • Hsin-Min Lu, Chwan-Chuen King, Tsung-Shu Wu, Fuh-Yuan Shih, Jin-Yi Hsiao, Daniel Zeng et al.

         Pages 11-22

      3. Incorporating Geographical Contacts into Social Network Analysis for Contact Tracing in Epidemiology: A Study on Taiwan SARS Data

         • Yi-Da Chen, Chunju Tseng, Chwan-Chuen King, Tsung-Shu Joseph Wu, Hsinchun Chen

         Pages 23-36

   2. Biosurveillance Models

      1. A Model for Characterizing Annual Flu Cases

         • Miriam Nuño, Marcello Pagano

         Pages 37-46

      2. Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems

         • Steven A. Cohen, Elena N. Naumova

         Pages 47-58

   3. Outbreak Detection Algorithms

      1. Data Classification for Selection of Temporal Alerting Methods for Biosurveillance

         • Howard Burkom, Sean Murphy

         Pages 59-70

      2. High Performance Computing for Disease Surveillance

         • David Bauer, Brandon W. Higgs, Mojdeh Mohtashemi

         Pages 71-78

      3. Towards Real Time Epidemiology: Data Assimilation, Modeling and Anomaly Detection of Health Surveillance Data Streams

         • Luís M. A. Bettencourt, Ruy M. Ribeiro, Gerardo Chowell, Timothy Lant, Carlos Castillo-Chavez

         Pages 79-90

      4. Algorithm Combination for Improved Performance in Biosurveillance Systems

         • Inbal Yahav, Galit Shmueli

         Pages 91-102

      5. Decoupling Temporal Aberration Detection Algorithms for Enhanced Biosurveillance

         • Sean Murphy, Howard Burkom

         Pages 103-113

   4. Multiple Data Streams

      1. Assessing Seasonal Variation in Multisource Surveillance Data: Annual Harmonic Regression

         • Eric Lofgren, Nina Fefferman, Meena Doshi, Elena N. Naumova

         Pages 114-123

      2. A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data

         • Josep Roure, Artur Dubrawski, Jeff Schneider

         Pages 124-133

   5. Informatics Infrastructure and Case Studies

      1. A Web-Based System for Infectious Disease Data Integration and Sharing: Evaluating Outcome, Task Performance Efficiency, User Information Satisfaction, and Usability

         • Paul Jen-Hwa Hu, Daniel Zeng, Hsinchun Chen, Catherine A. Larson, Chunju Tseng

         Pages 134-146

      2. Public Health Affinity Domain: A Standards-Based Surveillance System Solution

         • Boaz Carmeli, Tzilla Eshel, Daniel Ford, Ohad Greenshpan, James Kaufman, Sarah Knoop et al.

         Pages 147-158

      3. The Influenza Data Summary: A Prototype Application for Visualizing National Influenza Activity

         • Michelle N. Podgornik, Alicia Postema, Roseanne English, Kristin B. Uhde, Steve Bloom, Peter Hicks et al.

         Pages 159-168

      4. Global Foot-and-Mouth Disease Surveillance Using BioPortal

         • Mark Thurmond, Andrés Perez, Chunju Tseng, Hsinchun Chen, Daniel Zeng

         Pages 169-179

      5. Utilization of Predictive Mathematical Epidemiological Modeling in Crisis Preparedness Exercises

         • Colleen R. Burgess

         Pages 180-189

3. Short Papers

   1. Ambulatory e-Prescribing: Evaluating a Novel Surveillance Data Source

      • David L. Buckeridge, Aman Verma, Robyn Tamblyn

      Pages 190-195

   2. Detecting the Start of the Flu Season

      • Sylvia Halász, Philip Brown, Colin R. Goodall, Arnold Lent, Dennis Cochrane, John R. Allegra

      Pages 196-201

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.

• DJ
• DOM
• Internet
• algorithms
• anomaly detection
• applied mathematics
• biosurveillance
• computer algebra
• contact tracing
• data classification
• data mining
• data sharing
• epidemiology
• genome
• security

Policies and ethics