3 documents found, page 1 of 1
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...
Fast detection of arbitrarily shaped disease clusters.
Assunção, Renato Martins; Costa, Marcelo Azevedo; Tavares, Andréa Iabrudi; Ferreira, Sabino JoséDisease cluster detection and evaluation have commonly used spatial statistics methods that scan the map with a fixed circular window to locate candidate clusters. Recently, there has been interest in searching for clusters with arbitrary shape. The circular scan test retains high power of detecting a cluster, but does not necessarily identify the exact regions contained in a non-circular cluster particularly w...
Penalized likelihood and multi-objective spatial scans for the detection and in...
Cançado, André Luiz Fernandes; Duarte, Anderson Ribeiro; Duczmal, Luiz Henrique; Ferreira, Sabino José; Fonseca, Carlos M.; Gontijo, Eliane DiasBackground: Irregularly shape d spatial clusters are difficult to delineate. A cluster found by an algorithm often spreads through large portions of the map, impacting its geographical meaning. Penalized likelihood methods for Kulldorff’ s spatial scan statistics have been used to control the excessive freedom of the shape of clusters . Penalty functions based on cluster geometry and non-connectivity have been ...