Using global positioning systems to study health-related mobility and participation
Using global positioning systems to study health-related mobility and participation
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DOI：
10.1016/j.socscimed.2016.06.001
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发表时间：
2016-07-01
影响因子：
5.4
通讯作者：
Salzer, Mark S.
中科院分区：
文献类型：
--
作者：
Brusilovskiy, Eugene;Klein, Louis A.;Salzer, Mark S.
根据《国际健康、功能和疾病分类》（世卫组织，2001年），社区参与，如流动性和参与有社会意义的活动所示，是健康的一个核心组成部分。全球定位系统技术正在成为跟踪行动情况和参与保健和残疾相关研究的工具。本文填补了文献中的空白，并提供了一个彻底的描述方法，可用于生成一些不同的变量相关的结构的流动性和参与GPS数据。在这里，这些变量的帮助下生成的ST-DBSCAN，时空数据挖掘算法。这些变量包括唯一目的地的数量、活动空间面积、旅行距离、运输时间和到达目的地的时间。提供了从五名患有精神残疾的人身上获得的数据，这些人携带具有GPS功能的手机两周。观察到这些结构的个体内和个体间变异性。鉴于用全球定位系统收集数据的可行性，有必要采用这种方法对流动性和参与情况进行更大规模的研究。(C)2016爱思唯尔有限公司版权所有。
Community participation, as indicated by mobility and engagement in socially meaningful activities, is a central component of health based on the International Classification of Health, Functioning, and Disease (WHO, 2001). Global positioning systems (GPS) technology is emerging as a tool for tracking mobility and participation in health and disability-related research. This paper fills a gap in the literature and provides a thorough description of a method that can be used to generate a number of different variables related to the constructs of mobility and participation from GPS data. Here, these variables are generated with the help of ST-DBSCAN, a spatiotemporal data mining algorithm. The variables include the number of unique destinations, activity space area, distance traveled, time in transit, and time at destinations. Data obtained from five individuals with psychiatric disabilities who carried GPS-enabled cell phones for two weeks are presented. Within- and across-individual variability on these constructs was observed. Given the feasibility of gathering data with GPS, larger scale studies of mobility and participation employing this method are warranted. (C) 2016 Elsevier Ltd. All rights reserved.