Flexible Scan Statistics for Detecting Spatial Disease Clusters: The rflexscan R Package
Flexible Scan Statistics for Detecting Spatial Disease Clusters: The rflexscan R Package
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DOI：
10.18637/jss.v099.i13
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发表时间：
2021-10-01
影响因子：
5.8
通讯作者：
Takahashi, Kunihiko
中科院分区：
文献类型：
--
作者：
Otani, Takahiro;Takahashi, Kunihiko
在流行病学研究中，空间扫描统计量通常用于检测空间疾病聚集性。在各种扫描统计量中，Tango和Takahashi(2005)提出的灵活扫描统计量是检测任意形状星团的最有前途的方法之一。在本文中，我们介绍了一个新的R包，rflescan(Otani And Takahashi 2021)，它为使用灵活的空间扫描统计量分析空间计数数据提供了高效和易于使用的方法。该套餐是为下列任何相互关联的目的而设计的：评估报告的空间疾病集群是否具有统计学意义，测试一种疾病是否在空间上随机分布，以及对疾病进行地理监测，以发现发病率显著高的地区。该程序包的功能通过对美国纽约州2005至2009年间的公共领域小区域癌症发病率数据集的应用程序进行了演示。
The spatial scan statistic is commonly used to detect spatial disease clusters in epidemiological studies. Among the various types of scan statistics, the flexible scan statistic proposed by Tango and Takahashi (2005) is one of the most promising methods to detect arbitrarily-shaped clusters. In this paper, we introduce a new R package, rflexscan (Otani and Takahashi 2021), that provides efficient and easy-to-use methods for analyses of spatial count data using the flexible spatial scan statistic. The package is designed for any of the following interrelated purposes: to evaluate whether reported spatial disease clusters are statistically significant, to test whether a disease is randomly distributed over space, and to perform geographical surveillance of disease to detect areas of significantly high rates. The functionality of the package is demonstrated through an application to a public-domain small-area cancer incidence dataset in New York State, USA, between 2005 and 2009.