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Displaying results 1 - 8 of 8
  • Content Type: Abstract

    Research evaluating the use of spatial data for surveillance purposes is ongoing and evolving. As spatial methods evolve, it is important to characterize their effectiveness in real-world settings. Assessing the performance of… read more
    … outbreak data (signal) into actual background visit data. These studies focused on either temporal data, a … on injecting synthetic outbreak data (signal) into actual back- ground visit data.1,2,3 These studies focused on either temporal … outbreak data (signal) into actual background visit data. These studies focused on either temporal data, a …
  • 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

    In the fall of 2006, the Ohio Department of Health (ODH) and the Indiana State Department of Health (ISDH) proactively began general discussions regarding surveillance issues of mutual interest. Both states, having operational… read more
    … gender, patient home zip code, admitted date and time, visit number, and free- text chief complaint. Approximately …
  • Content Type: Abstract

    In 2004, the Indiana State Department of Health (ISDH) partnered with the Regenstrief Institute to begin collecting syndromic data from 14 ED’s to monitor bioterrorism-related events and other public health emergencies. Today, Indiana’s public… read more
    … are reviewed at regular intervals throughout the day. Follow-up with hospitals and local health departments is … deadly tornado struck southern Indiana in 2005. As the ED visit volumes climbed, no false alerts were triggered for …
  • Content Type: Abstract

    With the widespread deployment of near real time population health monitoring, there is increasing focus on spatial cluster detection for identifying disease outbreaks. These spatial epidemiologic methods rely on knowledge of patient location to… read more
    … tions, significant clusters contained fewer additional ED visit points (i.e., points that were not part of the …
  • Content Type: Abstract

    The use of spatially-based methods and algorithms in epidemiology and surveillance presents privacy challenges for researchers and public health agencies. We describe a novel method for anonymizing individuals in public health datasets, by… read more
    … (ED) visits for respiratory illness. Baseline ED visit data were in- jected with artificially-created …
  • 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 …
  • Content Type: Abstract

    An increase in tuberculosis (TB) among homeless men residing in Marion County, Indiana was noticed in the summer of 2008. The Marion County Public Health Department (MCPHD) hosted screening events at homeless shelters in hopes of finding… read more
    … that this person should have a chest x-ray as part of a follow-up to a TB outbreak investigation. A phone number of … the effectiveness of the alert is difficult due to a lack of encounter data. Only one-fourth of the patients (13 …