Approaches to syndromic surveillance when data consist of small regional counts.

@article{Rogerson2004ApproachesTS,
  title={Approaches to syndromic surveillance when data consist of small regional counts.},
  author={Peter A. Rogerson and Ikuho Yamada},
  journal={MMWR supplements},
  year={2004},
  volume={53},
  pages={79-85}
}
INTRODUCTION Statistical systems designed for syndromic surveillance often must be able to monitor data received simultaneously from multiple regions. Such data might be of limited size, which would eliminate the possibility of using more common surveillance methods that assume data from a normal distribution. OBJECTIVES The objectives of this study were to design and illustrate a multiregional surveillance system based on data inputs consisting of small regional counts, where frequencies are… CONTINUE READING

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