Using the Flow of People in Cluster Detection and Inference

摘要

ObjectiveWe present a new approach to the circular scan method [] that uses the flow of people to detect and infer clusters of regions with high incidence of some event randomly distributed in a map. We use a real database of homicides cases in Minas Gerais state, in southeast Brazil to compare our proposed method with the original circular scan method in a study of simulated clusters and the real situation.