A Bayesian system to detect and characterize overlapping outbreaks

@article{Aronis2017ABS,
  title={A Bayesian system to detect and characterize overlapping outbreaks},
  author={John M. Aronis and Nicholas Millett and Michael M. Wagner and Fu-Chiang Tsui and Ye Ye and Jeffrey P. Ferraro and Peter J. Haug and Per H. Gesteland and Gregory F. Cooper},
  journal={Journal of biomedical informatics},
  year={2017},
  volume={73},
  pages={
          171-181
        }
}
Outbreaks of infectious diseases such as influenza are a significant threat to human health. Because there are different strains of influenza which can cause independent outbreaks, and influenza can affect demographic groups at different rates and times, there is a need to recognize and characterize multiple outbreaks of influenza. This paper describes a Bayesian system that uses data from emergency department patient care reports to create epidemiological models of overlapping outbreaks of… CONTINUE READING
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