地理编码
空间流行病学
地理信息系统
空间分析
数据科学
地理空间分析
流行病学
领域(数学)
聚类分析
数据挖掘
医学
地理
计算机科学
地图学
人工智能
遥感
内科学
数学
纯数学
作者
Russell S. Kirby,Eric Delmelle,Jan M. Eberth
标识
DOI:10.1016/j.annepidem.2016.12.001
摘要
The field of spatial epidemiology has evolved rapidly in the past 2 decades. This study serves as a brief introduction to spatial epidemiology and the use of geographic information systems in applied research in epidemiology. We highlight technical developments and highlight opportunities to apply spatial analytic methods in epidemiologic research, focusing on methodologies involving geocoding, distance estimation, residential mobility, record linkage and data integration, spatial and spatio-temporal clustering, small area estimation, and Bayesian applications to disease mapping. The articles included in this issue incorporate many of these methods into their study designs and analytical frameworks. It is our hope that these studies will spur further development and utilization of spatial analysis and geographic information systems in epidemiologic research.
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