Automated Real-Time Surveillance Using Health Indicator Data Received at Different Time Intervals

Authors

  • Joseph Lombardo Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States
  • Julie Pavlin Armed Forces Health Surveillance Center, Silver Spring, MD, United States
  • Christopher Cuellar Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States
  • Yevgeniy Elbert Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States
  • Jean-Paul Chretien Armed Forces Health Surveillance Center, Silver Spring, MD, United States

DOI:

https://doi.org/10.5210/ojphi.v6i1.5047

Abstract

The objective of this concept is to combine evidence from multiple sources of data, some in real-time and others at lower reception intervals in order to develop a real-time surveillance capability.

Author Biography

Joseph Lombardo, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States

Joe Lombardo is a member of the principal professional staff of the Johns Hopkins Applied Physics Laboratory (APL) and an Associate Professor at the Johns Hopkins School of Medicine. He is the program manager for disease surveillance at APL. He is also a  member of the board of directors of ISDS serving as Treasurer.

Downloads

Published

2014-03-09

How to Cite

Lombardo, J., Pavlin, J., Cuellar, C., Elbert, Y., & Chretien, J.-P. (2014). Automated Real-Time Surveillance Using Health Indicator Data Received at Different Time Intervals. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5047

Issue

Section

Lightning Talks