Displaying results 1 - 4 of 4
-
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 … 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 … -
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 … in small circle) and few additional points from the ED visits (red dots outside small circle). However, when the … with points at zip code centroids (right), many more ED visits were included in the detected cluster. CONCLUSIONS … -
Seasonal Patterns of Gastrointestinal Illness
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 … -
Using Open-Source Grid-Computing Technology to Improve Processing Time for Geospatial Syndromic Surveillance Data
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… to maintain the maximum allowed number of pending jobs (70) in the queue. Aggregate datasets contained 4 to 150 … (Version 4.5) [Computer software]. Troy, MI (www.altair.com/software/pbspro.htm) [5] Maui Job Scheduler (2004) (www.clusterresources.com/ products/maui/) Advances in Disease Surveillance …