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Scalable Detection of Irregular Disease Clusters Using Soft Compactness Constraints
Content Type: Abstract
The spatial scan statistic [1] detects significant spatial clusters of disease by maximizing a likelihood ratio statistic F(S) over a large set of spatial regions, typically constrained by shape. The fast localized scan [2] enables scalable… read more… scanning (LTSS) property to efficiently search over all subsets of each location and its k - 1 nearest … to spatially compact clusters while still considering all subsets within a given neighborhood. Objective We … scanning (LTSS) property to efficiently search over all subsets of each location and its k�1 nearest neighbors. … -
Fast Graph Structure Learning from Unlabeled Data for Outbreak Detection
Content Type: Abstract
Disease surveillance data often has an underlying network structure (e.g. for outbreaks which spread by person-to-person contact). If the underlying graph structure is known, detection methods such as GraphScan (1) can be used to identify an… read more… We then compute the mean normalized score averaged over all training examples. If a given graph is close to the true … our method can successfully learn the additional edges due to travel patterns, substantially improving detection … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 …