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  • Content Type: Abstract

    Complex, highly parameterized data models are often used to detect syndromic outbreaks. Unfortunately, such models can pose greater maintenance challenges as parameter variations increase. As such, our work focuses on whether day… read more
    … or insignificantly across data sources. We found that visit rates by syndrome varied significantly by DoW Further, …
  • Content Type: Abstract

    Numerous methods have been applied to the problem of modeling temporal properties of disease surveillance data; the ESSENCE system contains a widely used approach (1). STL (2) is a flexible, wellproven method for temporal… read more
    … a peak on Mon., a drop through about Fri. then a rise back to a Sun. peak about as big as Mon. No sig- nificant …