@article{Generous_Deshpande_Brown_Castro_Margevicius_Daniel_Taylor-McCabe_2013, title={Evaluating Biosurveillance System Components using Multi-Criteria Decision Analysis}, volume={5}, url={https://ojphi.org/ojs/index.php/ojphi/article/view/4508}, DOI={10.5210/ojphi.v5i1.4508}, abstractNote={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.}, number={1}, journal={Online Journal of Public Health Informatics}, author={Generous, Eric Nicholas and Deshpande, Alina and Brown, Mac and Castro, Lauren and Margevicius, Kristen and Daniel, William Brent and Taylor-McCabe, Kirsten}, year={2013}, month={Mar.} }