Displaying results 9 - 12 of 12
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Dual Graph Spatial Cluster Detection for Syndromic Surveillance in Networks
Content Type: Abstract
Early warning systems must not always rely on geographical proximity for modeling the spread of contagious diseases. Instead, graph structures such as airways or social networks are more adequate in those situations. Nodes,… read more… [1] Kulldorff M, 1997. A Spatial Scan Statistic, Comm. Statist. Theory Meth., 26(6), 1481-1496. [2] Duczmal … -
Geographically Meaningful Cluster Scanning Through Weak Link Correction
Content Type: Abstract
Many heuristics were developed recently to find arbitrarily shaped clusters (see review [1]). The most popular statistic is the spatial scan [2]. Nevertheless, even if all cluster solutions could be known, the problem of… read more… appear) [2]Kulldorff M, 1997. A Spatial Scan Statistic, Comm. Statist. Theory Meth., 26(6), 1481-1496. [3]Duczmal L, … -
Spatial Cluster Detection in Case-Control Datasets with the Autonomous Leaves Graph
Content Type: Abstract
Ordering-based approaches [1,2] and quadtrees [3] have been introduced recently to detect multiple spatial clusters in point event datasets. The Autonomous Leaves Graph (ALG) [4] is an efficient graph-based data structure to handle the communication… read more… for case event data: an ordering-based approach. Comm Stat Theor Meth. 2011;40:358�72. 3. Yiannakoulias N, … -
Spatial cluster detection through constrained dynamic programming
Content Type: Abstract
The spatial scan statistic [1] is the most used measure for cluster strenght. The evaluation of all possible subsets of regions in a large dataset is computationally infeasible. Many heuristics have appeared recently to compute approximate values… read more… Cançado ALF, Duarte AR, Duczmal L, Ferreira SJ, Fonseca CM, Gontijo ECDM. Penalized likelihood and multi-objective …