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Displaying results 1 - 8 of 8
  • 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. …
  • 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
    … locate clusters of cases of diseases in space-time, which may indicate the occurrence of an outbreak or an epidemic. … clusters of cases of diseases in space- time, which may indicate the occurrence of an outbreak or an epidemic … disease clusters using scan statistic. Stat Med. 2007;26:4770�89. 3. Porter DM. Some adaptive approaches for …
  • 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
    … irregularly spatial cluster; however, the solution may not be connected. The spatial cluster detection problem … irregularly spatial cluster; however, the solution may not be connected. The spatial cluster detection problem … M. A spatial scan statistic. Commun Stat Theor Meth. 1997;26:1481�96. 2. Neill DB. Fast and flexible outbreak …
  • 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 …
  • 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
    … of the strength of clusters. However, other measures may also be useful, such as the geometric compactness … the potential cluster z. The non-connectivity penalty y(z) is a function of the number of edges e(z) and the … of Brasilia, Brasilia, Brazil E-mail: sabjfn@gmail.com.br Objective Irregularly shaped clusters in maps divided …
  • 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 …
  • 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
    … cost of estimating the data-driven critical value may be reduced through the use of a simple interpolation. … M. A spatial scan statistic. Commun Stat Theor Meth. 1997;26:1481�96. 2. Kulldorff M, Nagarwalla N. Spatial disease … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 …
  • 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
    … (type I and II jointly) in the period of January 2002 to May 2011 All data were obtained from the Brazilian Ministry … A spatial scan statistic. Commun Statist Theor Meth. 1997;26:1481�96. *Sabino Ferreira E-mail: sabino@est.ufmg.br … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 …