StarScan: A Novel Scan Statistic for Irregularly-Shaped Spatial Clusters
نویسندگان
چکیده
منابع مشابه
StarScan: A Novel Scan Statistic for Irregularly-Shaped Spatial Clusters
Introduction Kulldorff’s spatial scan statistic1 detects significant spatial clusters of disease by maximizing a likelihood ratio statistic over circular spatial regions. The fast localized subset scan2 enables scalable detection of proximity-constrained subsets and increases power to detect irregularly-shaped clusters, However, unconstrained subset scanning within each circular neighborhood2, ...
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Spatial scan statistics are commonly used for geographic disease cluster detection and evaluation. We propose and implement a modified version of the simulated annealing spatial scan statistic that incorporates the concept of “non-compactness” in order to penalize clusters that are very irregular in shape. We evaluate its power for the simulated annealing scan and compare it with the circular a...
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BACKGROUND The spatial scan statistic proposed by Kulldorff has been applied to a wide variety of epidemiological studies for cluster detection. This scan statistic, however, uses a circular window to define the potential cluster areas and thus has difficulty in correctly detecting actual noncircular clusters. A recent proposal by Duczmal and Assunção for detecting noncircular clusters is shown...
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ژورنال
عنوان ژورنال: Online Journal of Public Health Informatics
سال: 2015
ISSN: 1947-2579
DOI: 10.5210/ojphi.v7i1.5720