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Displaying results 1 - 8 of 10
  • Evaluating the Performance of a Spatial Scan Statistic Using Simulated Outbreak Characteristics

    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 …
  • Enhancing Provider Reporting of Notifiable Diseases using HIE-enabled Decision Support

    Content Type: Abstract

    Traditionally, public health agencies (PHAs) wait for hospital, laboratory or clinic staff to initiate case reports. However, this passive approach is burdensome for reporters and produces incomplete and delayed reports, which can hinder assessment… read more
    … and produces incomplete and delayed reports, which can hinder assessment of disease in the community and … and produces incomplete and delayed reports, which can hinder assessment of disease in the community and …
  • Using Information Entropy to Monitor Chief Complaint Characteristics and Quality

    Content Type: Abstract

    Health care processes consume increasing volumes of digital data. However, creating and leveraging high quality integrated health data is challenging because large-scale health data derives from systems where data is captured from varying workflows… read more
    … data sources; there are known data quality issues that hinder the utility of such data; and there is a paucity of … data sources; there are known data quality issues that hinder the utility of such data; and there is a paucity of …
  • The Day-of-the-Week Effect: A Study Across the Indiana Public Health Emergency Surveillance System

    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, …
  • Enhancing Syndromic Surveillance through Cross-border Data Sharing

    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 …
  • Operational Considerations and Early Successes with a Statewide Public Health Surveillance System

    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
    … deadly tornado struck southern Indiana in 2005. As the ED visit volumes climbed, no false alerts were triggered for …
  • Privacy Protection versus Cluster Detection in Spatial Epidemiology

    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 …
  • A Novel, Context-Sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection

    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 …