Factors affecting automated syndromic surveillance

  title={Factors affecting automated syndromic surveillance},
  author={Ling Wang and Marco Ramoni and Kenneth D. Mandl and Paola Sebastiani},
  journal={Artificial intelligence in medicine},
  volume={34 3},
OBJECTIVE The increased threat of bioterroristic attacks and epidemic events requires the development of accurate and timely outbreak detection systems for early identification of anomalies in public health data. MATERIAL AND METHODS We propose an automated outbreak detection system based on syndromic data. This system uses an autoregressive model with seasonal components to monitor, online, the daily counts of chief complaints for respiratory syndromes at the emergency department of two… CONTINUE READING
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Improving outbreak detection by signal integration

  • P Sebastiani, L Wang, KD Mandl, MF. Ramoni
  • MMWR
  • 2004
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