Displaying results 1 - 8 of 9
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Dry Climate as a Predictor of Chagas; Disease Irregular Clusters: A Covariate Study
Content Type: Abstract
Chagas’ disease, caused by the protozoan Trypanosoma cruzi, is spread mostly by Triatominae bugs. High carbon dioxide emission and strong infra-red (IR) radiation are indicative of their presence. Periods of low atmospheric water saturation favor… read more -
Exploring Multi-Cluster Structures with the Multi-Objective Circular Scan
Content Type: Abstract
The spatial scan statistic is the usual measure of strength of a cluster [1]. Another important measure is its geometric regularity [2]. A genetic multiobjective algorithm was developed elsewhere to identify irregularly shaped clusters [3]. A search… read more -
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 -
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 -
Geographically Meaningful Cluster Scanning Through Weak Link Correction
Content Type: Abstract
Many heuristics were developed recently to find arbitrarily shaped clusters (see review [1]). The most popular statistic is the spatial scan [2]. Nevertheless, even if all cluster solutions could be known, the problem of… read more -
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 -
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 -
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