tetano
Editor, Senior Moderator
Online J Public Health Inform. 2019 Sep 19;11(2):e6. doi: 10.5210/ojphi.v11i2.9952. eCollection 2019. [h=1]The design and evaluation of a Bayesian system for detecting and characterizing outbreaks of influenza.[/h]
Millett NE[SUP]1[/SUP], Aronis JM[SUP]1[/SUP], Wagner MM[SUP]1[/SUP], Tsui F[SUP]1[/SUP], Ye Y[SUP]1[/SUP], Ferraro JP[SUP]2[/SUP], Haug PJ[SUP]2[/SUP], Gesteland PH[SUP]2[/SUP], Cooper GF[SUP]1[/SUP].
[h=3]Author information[/h] 1 Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania. 2 Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah.
[h=3]Abstract[/h] The prediction and characterization of outbreaks of infectious diseases such as influenza remains an open and important problem. This paper describes a framework for detecting and characterizing outbreaks of influenza and the results of testing it on data from ten outbreaks collected from two locations over five years. We model outbreaks with compartment models and explicitly model non-influenza influenza-like illnesses.
This is an Open Access article. Authors own copyright of their articles appearing in the Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes.
PMID: 31632600 PMCID: PMC6788888 DOI: 10.5210/ojphi.v11i2.9952
Millett NE[SUP]1[/SUP], Aronis JM[SUP]1[/SUP], Wagner MM[SUP]1[/SUP], Tsui F[SUP]1[/SUP], Ye Y[SUP]1[/SUP], Ferraro JP[SUP]2[/SUP], Haug PJ[SUP]2[/SUP], Gesteland PH[SUP]2[/SUP], Cooper GF[SUP]1[/SUP].
[h=3]Author information[/h] 1 Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania. 2 Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah.
[h=3]Abstract[/h] The prediction and characterization of outbreaks of infectious diseases such as influenza remains an open and important problem. This paper describes a framework for detecting and characterizing outbreaks of influenza and the results of testing it on data from ten outbreaks collected from two locations over five years. We model outbreaks with compartment models and explicitly model non-influenza influenza-like illnesses.
This is an Open Access article. Authors own copyright of their articles appearing in the Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes.
PMID: 31632600 PMCID: PMC6788888 DOI: 10.5210/ojphi.v11i2.9952