Displaying results 9 - 15 of 15
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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… and Flávia C. O. Magalhães Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil Objective To … for applications in geographic disease surveillance. Adv Dis Surveill. 2007;3:2. 4. Burgarelli D, Kishinhevsky M, … permitting all non-commercial use, distribution, and reproduction in … -
Optimizing Simultaneously the Geometry and the Internal Cohesion of Clusters
Content Type: Abstract
Irregularly shaped cluster finders frequently end up with a solution consisting of a large zone z spreading through the map, which is merely a collection of the highest valued regions, but not a geographically sound cluster. One way… read more… J. Ferreira, André L.F. Cançado Universidade Federal de Minas Gerais OBJECTIVE We introduce a novel spatial scan … The solution presented is a Pareto-set, consisting of all the clusters found which are not si- multaneously worse … A Spatial Scan Statistic, Comm. Statist. Theory Meth., 26(6), 1481-1496. Corresponding author: duczmal@ufmg.br … -
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… of a map consisting of point event data, identifying all the multiple significant anomalies, which may be of high … Diamantina, Brazil; 2Statistics, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; 3Universidade … of a map consisting of point event data, identifying all the multiple significant anomalies, which may be of high … -
Mapping the uncertainty of non-contagious disease clusters boundaries in Brazil
Content Type: Abstract
The intrinsic variability that exists in the cases counting data for aggregated-area maps amounts to a corresponding uncertainty in the delineation of the most likely cluster found by methods based on the spatial scan statistics [3]. If this cluster… read more… simply discard them in a disease prevention program? Do all the areas inside the detected cluster have the same … simply discard them in a disease prevention program? Do all the areas inside the detected cluster have the same … A spatial scan statistic. Commun Statist Theor Meth. 1997;26:1481�96. *Sabino Ferreira E-mail: sabino@est.ufmg.br … -
Weighted non-connectivity for detection of irregular clusters
Content Type: Abstract
Heuristics to detect irregularly shaped spatial clusters were reviewed recently. The spatial scan statistic is a widely used measure of the strength of clusters. However, other measures may also be useful, such as the geometric compactness… read more… algorithm. The solution is a Pareto set, consisting of all clusters that are not worse on both objectives simulta- … The statistical significance evaluation is performed for all clusters in the Pareto set through Monte Carlo … A spatial scan statistic. Comm Statist Theory Meth 1997;26:1481–96. 3 Duczmal L, Canc-ado ALF, Takahashi RHC. … -
What Is the True Shape of a Disease Cluster? The Multi-Objective Genetic Scan
Content Type: Abstract
Irregularly shaped spatial disease clusters occur commonly in epidemiological studies, but their geographic delineation is poorly defined. Most current spatial scan software usually displays only one of the many possible cluster solutions with… read more… F. Cançado , Ricardo H. C. Takahashi Universidade Federal de Minas Gerais, Brazil OBJECTIVE We propose a novel … most ir- regularly shaped one, corresponding to varying de- grees of penalization parameters imposed to the free- … scan statistic value (LLR). The Pareto set consists of all clusters candidates z such that no other cluster has … -
Non-parametric intensity bounds for the visualization of disease clusters
Content Type: Abstract
Consider the most likely disease cluster produced by any given method, like SaTScan, for the detection and inference of spatial clusters in a map divided into areas; if this cluster is found to be statistically significant, what could be… read more… to exclude them from a health program of prevention? Do all the areas inside the cluster have the same importance … to exclude them from a health program of prevention? Do all the areas inside the cluster have the same importance … Conley J. Interactive detection of spatial clusters. Adv Dis Surveillance 2008;5:37. 4 Boscoe FP, McLaughlin C, …