Method selection and adaptation for distributed monitoring of infectious diseases for syndromic surveillance

@article{Xing2011MethodSA,
  title={Method selection and adaptation for distributed monitoring of infectious diseases for syndromic surveillance},
  author={Jian Xing and Howard S. Burkom and Jerome I. Tokars},
  journal={Journal of biomedical informatics},
  year={2011},
  volume={44 6},
  pages={
          1093-101
        }
}
BACKGROUND Automated surveillance systems require statistical methods to recognize increases in visit counts that might indicate an outbreak. In prior work we presented methods to enhance the sensitivity of C2, a commonly used time series method. In this study, we compared the enhanced C2 method with five regression models. METHODS We used emergency department chief complaint data from US CDC BioSense surveillance system, aggregated by city (total of 206 hospitals, 16 cities) during 5/2008-4… CONTINUE READING
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