Displaying results 1 - 8 of 9
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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… Department, University of Brasilia, Brasilia, Brazil E-mail: sabjfn@gmail.com.br Objective Irregularly shaped clusters in maps … -
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… Department, University of Brası́lia, Brası́lia, Brazil E-mail: fernandoluizoliveira@est.ufmg.br Objective Given an … -
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 … -
A new interpretation of the inference test for the spatial scan statistic
Content Type: Abstract
Spatial cluster analysis is considered an important technique for the elucidation of disease causes and epidemiological surveillance. Kulldorff's spatial scan statistic, defined as a likelihood ratio, is the usual measure of the strength of… read more… Int J Health Geograph. 2011;10:47. *Luiz Duczmal E-mail: duczmal@ufmg.br (page number not for citation purpose) … -
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… Int J Health Geograph. 2010;9:55. *Luiz Duczmal E-mail: duczmal@ufmg.br (page number not for citation purpose) … -
Adaptive Likelihood Ratio Methods for the Detection of Space-Time Disease Clusters
Content Type: Abstract
Data obtained through public health surveillance systems are used to detect and locate clusters of cases of diseases in space-time, which may indicate the occurrence of an outbreak or an epidemic. We present a methodology based on adaptive… read more… ISBN: 978-1-61209-516-5; 2011. *Luiz Duczmal E-mail: duczmal@ufmg.br (page number not for citation purpose) … -
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) …