Displaying results 1 - 3 of 3
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A Voronoi based scan for space-time cluster detection in point event data
Content Type: Abstract
Scan statistics are highly successful for the evaluation of space-time clusters. Recently, concepts from the graph theory were applied to evaluate the set of potential clusters. Wieland et al. introduced a graph theoretical… read more… University of Belo Horizonte, Minas Gerais, Brazil E-mail: duczmal@est.ufmg.br Objective We describe a method for … -
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… town. Int J Health Geograph. 2011;10:29. *Luiz Duczmal E-mail: duczmal@ufmg.br (page number not for citation purpose) … -
Significant multiple high and low risk regions in event data maps
Content Type: Abstract
The Voronoi Based Scan (VBScan)[1] is a fast method for the detection and inference of point data set space-time disease clusters. A Voronoi diagram is built for points representing population individuals (cases and controls). The number of Voronoi… read more… town. Int J Health Geogr. 2011;10:29. *Luiz Duczmal E-mail: duczmal@ufmg.br (page number not for citation purpose) …