Probabilistic, Decision-theoretic Disease Surveillance and Control
Wagner M, Tsui F, Cooper G, Espino JU, Harkema H, Levander J, Villamarin R, Voorhees R, Millett N, Keane C, Dey A, Razdan M, Hu Y, Tsai M, Brown S, Lee BY, Gallagher A, Potter M. Probabilistic, Decision-theoretic Disease Surveillance and Control. Online J Public Health Inform. 2011;3(3) doi: 10.5210/ojphi.v3i3.3798. Epub 2011 Dec 22. PubMed PMID: 23569617. PMCID: PMC3615794.
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.