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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… consist of 2 clusters, each containing 204 nodes. All computational nodes have two 2.4 GHz Pentium 4 Xeon … recorded. RESULTS Processing serially, as is typical in a PC environment, can be an inefficient way to handle large … -
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… 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 …