Utility of Data Fusion for Public Health Monitors: Lessons Learned from a Beta Test

Authors

  • Rhonda A. Lizewski Armed Forces Health Surveillance Center, Silver Spring, MD, United States
  • Howard Burkom Johns Hopkins Applied Physics Laboratory, Laurel, MD, United States
  • Joseph Lombardo Johns Hopkins Applied Physics Laboratory, Laurel, MD, United States
  • Christopher Cuellar Johns Hopkins Applied Physics Laboratory, Laurel, MD, United States
  • Yevgeniy Elbert Johns Hopkins Applied Physics Laboratory, Laurel, MD, United States
  • Liane Ramac-thomas Johns Hopkins Applied Physics Laboratory, Laurel, MD, United States
  • Julie Pavlin Armed Forces Health Surveillance Center, Silver Spring, MD, United States

DOI:

https://doi.org/10.5210/ojphi.v6i1.5198

Abstract

The on-site beta test of system upgrade to the Early Notification of community-based Epidemics (ESSENCE) allowed user feedback to the development team to aid in the evaluation of an analytic combination of weighted clinical and syndromic evidence, known as fusion, and direct the completion of the upgrade prior to launch.  The analytic fusion capability was improved particularly in the area of severity-related indicator data, improving algorithms, and user interfaces.

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Published

2014-03-09

How to Cite

Lizewski, R. A., Burkom, H., Lombardo, J., Cuellar, C., Elbert, Y., Ramac-thomas, L., & Pavlin, J. (2014). Utility of Data Fusion for Public Health Monitors: Lessons Learned from a Beta Test. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5198

Issue

Section

Lightning Talks