Evaluating Biosurveillance System Components using Multi-Criteria Decision Analysis

Authors

  • Eric Nicholas Generous Defense Systems Analysis Division, Los Alamos National Laboratory
  • Alina Deshpande Defense Systems Analysis Division, Los Alamos National Laboratory
  • Mac Brown Defense Systems Analysis Division, Los Alamos National Laboratory
  • Lauren Castro Defense Systems Analysis Division, Los Alamos National Laboratory
  • Kristen Margevicius Defense Systems Analysis Division, Los Alamos National Laboratory
  • William Brent Daniel Defense Systems Analysis Division, Los Alamos National Laboratory
  • Kirsten Taylor-McCabe Bioscience Division, Los Alamos National Laboratory

DOI:

https://doi.org/10.5210/ojphi.v5i1.4508

Abstract

Multi-Criteria Decision Analysis (MCDA) provides a methodology to approach the problem of biosurveillance system component evaluation. Los Alamos National Laboratory has developed a robust evaluation framework in which we use MCDA to assist in the evaluation of data streams for use in an integrated global biosurveillance system. We identified several potentially useful data streams through this technique and propose that MCDA may be a valuable tool, provided a robust evaluation framework is available.

Author Biography

Eric Nicholas Generous, Defense Systems Analysis Division, Los Alamos National Laboratory

E. Nicholas Generous is a Graduate Research Assistant in the Defense Systems Analysis Division at Los Alamos National Laboratory. He holds a B.A. in Molecular Biology and M.S. in Biotechnology from the Johns Hopkins University.

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Published

2013-03-23

How to Cite

Generous, E. N., Deshpande, A., Brown, M., Castro, L., Margevicius, K., Daniel, W. B., & Taylor-McCabe, K. (2013). Evaluating Biosurveillance System Components using Multi-Criteria Decision Analysis. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4508

Issue

Section

Poster Presentations