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A weighted non-connectivity penalty for detection and inference of irregularly ...
Duarte, Anderson Ribeiro; Silva, Spencer Barbosa da; Oliveira, Fernando Luiz Pereira de; Ribeiro, Marcelo Carlos; Cançado, André Luiz FernandesMethods for the detection and inference of irregularly shaped geographic clusters with count data are important tools in disease surveillance and epidemiology. Recently, several methods were developed which combine Kulldorff’s Spatial Scan Statistic with some penalty function to control the excessive freedom of shape of spatial clusters. Different penalty functions were conceived based on the cluster geometric ...
Using the flow of people in cluster detection and inference.
Ferreira, Sabino José; Oliveira, Francisco S.; Tavares, Ricardo; Moura, Flávio dos ReisThis work proposes a cluster detection method that adapts the traditional circular scan method, in the snese the proposed method uses the flow of people as a measure of proximity, interaction between regions of a map to identify a set of regions with a high risk of occurrence of some specific event. The flow of people between two regions is estimated by the gravitational method as proportional to the product of...