Probabilistic, Decision-theoretic Disease Surveillance and Control

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...

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Detalles Bibliográficos
Autores principales: Wagner, Michael, Tsui, Fuchiang, Cooper, Gregory, Espino, Jeremy U., Harkema, Hendrik, Levander, John, Villamarin, Ricardo, Voorhees, Ronald, Millett, Nicholas, Keane, Christopher, Dey, Anind, Razdan, Manik, Hu, Yang, Tsai, Ming, Brown, Shawn, Lee, Bruce Y., Gallagher, Anthony, Potter, Margaret
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2011
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3615794/
https://www.ncbi.nlm.nih.gov/pubmed/23569617
http://dx.doi.org/10.5210/ojphi.v3i3.3798
Descripción
Sumario: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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