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The design and evaluation of a Bayesian system for detecting and characterizing outbreaks of influenza.
Millett, Nicholas E; Aronis, John M; Wagner, Michael M; Tsui, Fuchiang; Ye, Ye; Ferraro, Jeffrey P; Haug, Peter J; Gesteland, Per H; Cooper, Gregory F.
Afiliação
  • Millett NE; Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Aronis JM; Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Wagner MM; Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Tsui F; Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Ye Y; Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Ferraro JP; Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah.
  • Haug PJ; Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah.
  • Gesteland PH; Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah.
  • Cooper GF; Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania.
Online J Public Health Inform ; 11(2): e6, 2019.
Article em En | MEDLINE | ID: mdl-31632600
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Online J Public Health Inform Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Online J Public Health Inform Ano de publicação: 2019 Tipo de documento: Article