Displaying results 1 - 3 of 3
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Delineating Spatial Clusters with Artificial Neural Networks
Content Type: Abstract
Multiple or irregularly shaped spatial clusters are often found in disease or syndromic surveillance maps. We develop a novel method to delineate the contours of spatial clusters, especially when there is not a clearly dominating primary cluster,… read more… cluster, through artificial neural networks. The method may be applied either for maps divided into regions or point … cluster, through artificial neural networks. The method may be ap- plied either for maps divided into regions or … A Spatial Scan Statistic, Comm. Statist. Theory Meth., 26(6), 1481-1496. [2] M. H. Fun and M.T. Hagan, 1996. … -
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… identifying all the multiple significant anomalies, which may be of high or low risk, thus monitoring the existence of … identifying all the multiple significant anomalies, which may be of high or low risk. Introduction The Voronoi Based … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 … -
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… of the dual graph scan. CONCLUSIONS The dual graph scan may be a useful tool for de- tection and inference of … A Spatial Scan Statistic, Comm. Statist. Theory Meth., 26(6), 1481-1496. [2] Duczmal L, Ferreira SJ, 2007. Weak …