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

Kristen Margevicius, Eric Generous, Kirsten Taylor-McCabe, Mac Brown, W. Brent Daniel, Lauren Castro, Andrea Hengartner, Alina Deshpande

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.

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



Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org