Simulation-based Testbed for Bio-Surveillance Systems

Authors

  • Gerald Larocque MIT Lincoln Laboratory, Lexington, MA, United States
  • Taylor Locke MIT Lincoln Laboratory, Lexington, MA, United States
  • Micah Lee MIT Lincoln Laboratory, Lexington, MA, United States
  • Aaron Kite-Powell MIT Lincoln Laboratory, Lexington, MA, United States

DOI:

https://doi.org/10.5210/ojphi.v6i1.5167

Abstract

The U.S. Defense Threat Reduction Agency (DTRA) is funding multiple development efforts directed at enhanced platforms to support bio-surveillance analysts under their Bio-surveillance Ecosystem (BSVE) program. These efforts include well-integrated user interface systems and advanced algorithmic concepts to facilitate analysis of diverse, pertinent data sources including traditional bio-surveillance data sources as well as social media inputs. A central challenge in this development effort is a practical, effective, method to test these prototype systems. This presentation discusses a simulation-based testbed to allow quantitative evaluation of analytical methods through controlled injection of simulated outbreak-related information into test data streams.

Author Biography

Gerald Larocque, MIT Lincoln Laboratory, Lexington, MA, United States

Dr. Gerald R. Larocque is a Technical Staff member in the Informatics and Decision  Support group at MIT Lincoln Laboratory where he focuses on problems involving mathematical modeling, algorithm development, system analysis and electronics.  Prior to joining Lincoln Laboratory, he was a Principal in the Communications and Information Technology and Electronic Systems Practices at Arthur D. Little, Inc. Dr. Larocque holds  Ph.D. in Electrical Engineering with a focus on Digital Signal Processing, a M.S.E.E.  concentrating in circuit design and semiconductor technology, a M.S. in Mathematics, an M.B.A. and a B.S. in Mathematics and Physics.

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Published

2014-03-09

How to Cite

Larocque, G., Locke, T., Lee, M., & Kite-Powell, A. (2014). Simulation-based Testbed for Bio-Surveillance Systems. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5167

Issue

Section

Lightning Talks