The design and evaluation of a Bayesian system for detecting and characterizing outbreaks of influenza

Authors

  • Nicholas E. Millett Department of Biomedical Informatics, University of Pittsburgh
  • John M. Aronis Department of Biomedical Informatics, University of Pittsburgh
  • Michael M. Wagner Department of Biomedical Informatics, University of Pittsburgh
  • Fuchiang Tsui Childrens' Hospital of Philadelphia
  • Ye Ye Department of Biomedical Informatics, University of Pittsburgh
  • Jeffrey P. Ferraro Department of Biomedical Informatics, University of Utah
  • Peter J. Haug Department of Biomedical Informatics, University of Utah
  • Per Gesteland Department of Biomedical Informatics, University of Utah
  • Gregory F. Cooper Department of Biomedical Informatics, University of Pittsburgh

DOI:

https://doi.org/10.5210/ojphi.v11i2.9952

Abstract

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 expliccitly model non-influenza influenza-like illnesses.

Author Biography

John M. Aronis, Department of Biomedical Informatics, University of Pittsburgh

Research Scientist

Department of Biomedical Informatics

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Published

2019-09-20

How to Cite

Millett, N. E., Aronis, J. M., Wagner, M. M., Tsui, F., Ye, Y., Ferraro, J. P., … Cooper, G. F. (2019). The design and evaluation of a Bayesian system for detecting and characterizing outbreaks of influenza. Online Journal of Public Health Informatics, 11(2). https://doi.org/10.5210/ojphi.v11i2.9952

Issue

Section

Original Articles