Department of Community and Family Health, University of South Florida, Tampa.
Department of Geography and Earth Sciences, University of North Carolina-Charlotte, Charlotte.
Ann Epidemiol. 2017 Jan;27(1):1-9. doi: 10.1016/j.annepidem.2016.12.001. Epub 2016 Dec 8.
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.
过去 20 年来,空间流行病学领域发展迅速。本研究简要介绍了空间流行病学以及地理信息系统在流行病学应用研究中的使用。我们强调了技术发展,并强调了在流行病学研究中应用空间分析方法的机会,重点介绍了涉及地理编码、距离估计、居住迁移、记录链接和数据集成、空间和时空聚类、小区域估计以及贝叶斯疾病制图的方法。本期收录的文章将这些方法纳入了他们的研究设计和分析框架。我们希望这些研究将进一步推动空间分析和地理信息系统在流行病学研究中的发展和利用。