作者: Daniel Smith , Raymond Neutra
关键词: Health department 、 Disease clusters 、 Single cluster 、 Disease cluster 、 Neighbourhood level 、 Data mining 、 Context (language use) 、 Data science 、 Cluster analysis 、 Medicine 、 Disease
摘要: Classical tests for clustering rarely have a major role in the investigation of disease clusters at neighbourhood level performed by health department. When examining single cluster, boundaries are often ill-defined, and dimension (geographic, occupational, iatrogenic) is obvious. Furthermore, using cluster to routinely scan registries looking undesirable several reasons. A better approach be vigilant unusual environmental exposures, evaluate impact they may have. In this context, techniques serve as part larger that includes other epidemiologic approaches.