Biosurveillance Data Stream Framework: A Novel Approach to Characterization and Evaluation

Authors

  • Kristen Margevicius Los Alamos National Laboratory, Los Alamos, NM, United States
  • Eric Generous Los Alamos National Laboratory, Los Alamos, NM, United States
  • Kirsten Taylor-McCabe Los Alamos National Laboratory, Los Alamos, NM, United States
  • Mac Brown Los Alamos National Laboratory, Los Alamos, NM, United States
  • W. Brent Daniel Los Alamos National Laboratory, Los Alamos, NM, United States
  • Lauren Castro Los Alamos National Laboratory, Los Alamos, NM, United States
  • Andrea Hengartner Los Alamos National Laboratory, Los Alamos, NM, United States
  • Alina Deshpande Los Alamos National Laboratory, Los Alamos, NM, United States

DOI:

https://doi.org/10.5210/ojphi.v6i1.5052

Abstract

The Biosurveillance Data Stream Framework and associated definitions are proposed as a starting point to facilitate the development of a standardized lexicon for biosurveillance and characterization of currently used and newly emerging data streams. Criteria for building the data stream framework were developed from an examination of the literature, analysis of information on operational infectious disease biosurveillance systems, and consultation with experts in the area of biosurveillance. To demonstrate utility, the framework and definitions were used as the basis for a schema of a relational database for biosurveillance resources and in the development and use of a decision support tool for data stream evaluation.

Author Biography

Kristen Margevicius, Los Alamos National Laboratory, Los Alamos, NM, United States

Kristen Margevicius is a scientist in the Defense Systems and Analysis Division at Los Alamos National Laboratory. She received her PhD in Biomedical Engineering from Case Western Reserve University and a Masters in Public Health from the Bloomberg School of Public Health, Johns Hopkins University.

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Published

2014-03-09

How to Cite

Margevicius, K., Generous, E., Taylor-McCabe, K., Brown, M., Daniel, W. B., Castro, L., … Deshpande, A. (2014). Biosurveillance Data Stream Framework: A Novel Approach to Characterization and Evaluation. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5052

Issue

Section

Poster Presentations