Infectious Disease Informatics pp 133-145

Part of the Integrated Series in Information Systems book series (ISIS, volume 21) | Cite as

BioPortal

  • Hsinchun Chen
  • Daniel Zeng
  • Ping Yan

Abstract

The BioPortal project was initiated in 2003 by the University of Arizona Artificial Intelligence Lab and its collaborators in the New York State Department of Health and the California Department of Health Services to develop an infectious disease surveillance system. The project has been sponsored by NSF, DHS, DoD, Arizona Department of Health Services, and Kansas State University's BioSecurity Center, under the guidance of a federal inter-agency working group named the Infectious Disease Informatics Working Committee (IDIWC). Its partners include all the original collaborators as well as the USGS, University of California, Davis, University of Utah, the Arizona Department of Health Services, Kansas State University, and the National Taiwan University.

The BioPortal system provides distributed, cross-jurisdictional access to datasets concerning several major infectious diseases, and including Botulism, West Nile Virus, foot-and-mouth disease, live stock syndromes. Figure 9-1 shows the BioPortal system architecture. This portal system provides Web-based access to a variety of distributed infectious disease data sources including hospital ED free-text chief complaints (both in English and Chinese) as well as other epidemiological data. It features advanced spatial-temporal data analysis methods that include industry standard hotspot analysis algorithms and in-house developed innovative clustering-based techniques for retrospective and prospective data analysis. The analyses results are displayed via Spatio-Temporal Visualizer (STV). BioPortal also supports analysis and visualization of lab-generated gene sequence information. Its social network analysis module can be used to aid in the understanding of infectious disease transmission processes.

Important readings:

  1. 1.
    Hu, P., D. Zeng, H. Chen, C. Larson, W. Chang, C. Tseng, and J. Ma (2007). “System for Infectious Disease Information Sharing and Analysis: Design and Evaluation,” IEEE Transactions on Information Technology in Biomedicine, Vol. 11, No. 4.Google Scholar
  2. 2.
    Lu, H.-M., D. Zeng, L. Trujillo, K. Komatsu, and H. Chen (2008). “Ontology-Enhanced Automatic Chief Complaint Classification for Syndromic Surveillance,” Journal of Biomedical Informatics, Vol. 41, No. 2, pp 340–356.CrossRefGoogle Scholar
  3. 3.
    Chang, W., D. Zeng, and H. Chen (2008). “A Stack-Based Prospective Spatio-Temporal Data Analysis Approach,” Decision Support Systems, Vol. 45, No. 4, pp 697–713.CrossRefGoogle Scholar
  4. 4.
    Yan, P., H. Chen, and D. Zeng (2007). “Syndromic Surveillance Systems: Public Health and Biodefense,” Annual Review of Information Science and Technology (ARIST), Vol. 41, pp 425–495.Google Scholar
  5. 5.
    Zhang, Y. L., Y. Dang, Y. D. Chen, H. Chen, M. Thurmond, C. C. King, D. Zeng, C. Larson (2008). “BioPortal Infectious Disease Informatics research: disease surveillance and situational awareness,” in proceedings of International Conference on Digital Government Research, pp 393–394.Google Scholar

References

  1. Chang, W., Zeng, D., and Chen, H. 2005. "Prospective Spatio-Temporal Data Analysis for Security Informatics," In proceedings of the 8th IEEE International Conference on Intelligent Transportation Systems, Vienna, Austria.Google Scholar
  2. Hu, P.J.-H., Zeng, D., Chen, H., Larson, C.A., Chang, W., and Tseng, C. 2005. "Evaluating an Infectious Disease Information Sharing and Analysis System," IEEE International Conference on Intelligence and Security Informatics (ISI-2005), Atlanta, Georgia: Springer Lecture Notes in Computer Science, pp. 412–417.Google Scholar
  3. Thurmond, M., Perez, A., Tseng, C., Chen, H., and Zeng, D. 2007. "Global Foot-and-Mouth Disease Surveillance Using Bioportal," Intelligence and Security Informatics: Biosurveillance, D. Zeng, I. Gotham, K. Komatsu, C. Lynch, M. Thurmond, D. Madigan, B. Lober, J. Kvach and H. Chen (eds.). Springer Lecture Notes in Computer Science.Google Scholar
  4. Zeng, D., Chang, W., and Chen, H. 2004a. "A Comparative Study of Spatio-Temporal Hotspot Analysis Techniques in Security Informatics," 7th IEEE Transactions on Intelligent Transportation Systems, Washington, DC, pp. 106–111.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Hsinchun Chen
    • 1
  • Daniel Zeng
    • 2
    • 3
  • Ping Yan
    • 2
  1. 1.Department of Management Information SystemsEller College of Management University of ArizonaTucsonUSA
  2. 2.Department of Management Information SystemsEller College of Management University of ArizonaTucsonUSA
  3. 3.Chinese Academy of SciencesBeijingChina

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