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This problem was tackled by using the scan statistic (SS) detector in [10] and [11].
This problem was tackled by using the scan statistic (SS) detector proposed in [10].
Case clustering was assessed by using the scan statistic on georeferenced data.
Of the six ribotype clusters identified by using the scan statistic, all contained isolates with closely related PFGE types.
One previous study found high breast cancer mortality in a large region covering New York and Philadelphia metropolitan areas, using the scan statistic of SaTScan [ 16].
Multiple hot/cold spots would seem to be problematic when using the scan statistic, since it uses a likelihood function from a model based on a single hot or cold spot only.
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SaTScan™ uses the scan statistic [30] to identify statistically significant clusters, i.e. clusters that deviate from frequencies expected under a random distribution.
Characteristics of the six spatial clusters of PRRS in Thailand in 2010 identified using the spatial scan statistic with multivariate scan test (January to July 2010 and August to December 2010), cluster size of a maximum of 20% of observations, 999 iterations, and Bernoulli model.
Using the spatial scan statistic, analysis of geographic clustering of ALS indicated no statistically significant geographic clusters of elevated ALS risk in New Jersey, either for all cases combined or for males and females separately.
Analysis of the 2003 WNv epidemic in the northern Great Plains using the spatial scan statistic identified a single, large cluster of high WNv incidence.
Further, high-risk temporal trends were investigated using the temporal scan statistic [ 25].
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