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Displaying results 9 - 13 of 13
  • 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
    … cut-off. RESULTS Average sensitivity and PPV for all clusters was 0.97 ± 0.08 and 0.92 ± 0.10, respectively. … 1 shows averages for SaTScan sensitivity and PPV for all synthetic clusters stratified by syndrome. Table 1: … Anthrax Attacks and Syndromic Surveil- lance. Emerg Inf Dis 2005;11:1394-1398. 2. Mandl KD, et al. Measuring …
  • 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
    … isJan. 1. Objective: Use the STL local-regression (loess) de- composition procedure and transformation to model the … applied to the problem of modeling temporal properties of dis- ease surveillance data; the ESSENCE system contains a …
  • Content Type: Abstract

    Given the clear relationship between spatial contexts and health, the Indiana Center of Excellence in Public Health Informatics (ICEPHI) aims to serve both the needs of public health researchers and practitioners by… read more
    … contextual data, an ongoing process for geocoding all clinical data is being developed that links the … are further developed and prioritized. Potential uses of de-identified and aggregated health information by … in Park City, UT, USA on 1–2 December 2010. References 1 Diez Roux AV, Mair C. Neighborhoods and health. Ann N YAcad …
  • 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
    … to carbon monoxide in their home. While this finding did not uncover a widespread public health threat, it did provide the first empirical evidence that Indiana’s … a field investigation. Although laboratory testing did not identify a causative organism, investigation by …
  • 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
    … cases which resulted high values of dataset k- anonymity. De-identification that moves points an average distance of … that a k-anonymity value of 20 has been reached in 99% of all patients in a sam- ple dataset when the average distance …