Probabilistic, Decision-theoretic Disease Surveillance and Control

Michael Wagner, Fuchiang Tsui, Gregory Cooper, Jeremy Espino, Hendrik Harkema, John Levander, Ricardo Villamarin, Ronald Voorhees, Nicholas Millett, Christopher Keane, Anind Dey, Manik Razdan, Yang Hu, Ming Tsai, Shawn Brown, Bruce Y Lee, Anthony Gallagher, Margaret Potter

Abstract


The Pittsburgh Center of Excellence in Public Health Informatics has developed a probabilistic, decision-theoretic system for disease surveillance and control for use in Allegheny County, PA and later in Tarrant County, TX. This paper describes the software components of the system and its knowledge bases. The paper uses influenza surveillance to illustrate how the software components transform data collected by the healthcare system into population level analyses and decision analyses of potential outbreak-control measures.

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DOI: https://doi.org/10.5210/ojphi.v3i3.3798



Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org