Evaluation of a method for detecting aberrations in public health surveillance data.

@article{Stroup1993EvaluationOA,
  title={Evaluation of a method for detecting aberrations in public health surveillance data.},
  author={Donna F. Stroup and Melinda Wharton and Karen Kafadar and Arianne Dean},
  journal={American journal of epidemiology},
  year={1993},
  volume={137 3},
  pages={373-80}
}
The detection of unusual patterns in routine public health surveillance data on diseases and injuries presents an important challenge to health workers interested in early identification of epidemics or clues to important risk factors. Each week, state health departments report the numbers of cases of about 50 notifiable diseases to the Centers for Disease Control and Prevention, and these reports are published weekly in the Morbidity and Mortality Weekly Report. A new analytic method and a… CONTINUE READING

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