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Displaying results 1 - 5 of 5
  • 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 … synthetic outbreak data (signal) into actual back- ground visit data.1,2,3 These studies focused on either temporal … and longitude using ESRI ArcGIS 8.3. For each week of visit data we used a cluster creation tool4 to insert one of …
  • Content Type: Abstract

    Bordetella Pertussis outbreaks cause morbidity in all age groups, but the infection is most dangerous for young infants. Pertussis is difficult to diagnose, especially in its early stages, and definitive test results are not… read more
    … of incorrect management decisions at the point of care, pertussis represents a prototypical disease where … of incorrect management decisions at the point of care, pertussis represents a prototypical disease where … of incorrect management decisions at the point of care, pertussis represents a prototypical disease where …
  • 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
    … surveillance data from an urban, pediatric, tertiary care hospital. Baseline data were all encounters with a … tions, significant clusters contained fewer additional ED visit points (i.e., points that were not part of the … in small circle) and few additional points from the ED visits (red dots outside small circle). However, when the …
  • Content Type: Abstract

    Objective: To investigate seasonal patterns of gastrointestinal (GI) illness among children and adults.
    … 2001 to Oct 2005. Data were diagnoses for all hospital visits (ED, inpatient, observation). GI visits (N= 1,167,711) were selected by ICD-9 codes using … was significant. RESULTS In Figure 1, numbers of visits with a GI Dx are displayed as overlapping one-year …
  • Content Type: Abstract

    Outbreak detection algorithms for syndromic surveillance data are becoming increasingly complex. Initial algorithms focused on temporal data but newer methods incorporate geospatial dimensions. As methods evolve, it is important to understand the… read more
    … MA: Harvard Medical School and Harvard Pilgrim Health Care. (www.satscan.org) [3] Analysis and Visualization of …