GPS-based microenvironment tracker (MicroTrac) model to estimate time-location of individuals for air pollution exposure assessments: model evaluation in central North Carolina.

GPS-based microenvironment tracker (MicroTrac) model to estimate time-location of individuals for air pollution exposure assessments: model evaluation in central North Carolina.
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DOI:
10.1038/jes.2014.13
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发表时间:
2014-07
影响因子:
4.5
通讯作者:
--
中科院分区:
医学3区
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--
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空气污染暴露评估的一个关键方面是估计个人在各种微环境中所花费的时间。考虑到在具有不同污染物浓度的不同ME中花费的时间可以减少暴露错误分类,而不这样做可能会增加风险估计的不确定性和偏差。在这项研究中,开发了一种名为MicroTrac的分类模型,用于从全球定位系统(GPS)数据和地理编码的建筑边界估计一天中的时间和在八个ME(室内和室外,在家,工作,学校;车内;其他位置)中花费的持续时间。根据一项小组研究,MicroTrac估计值与9名参与者的24小时日记数据进行了比较,并与相应的GPS数据和家庭,学校和工作的建筑边界进行了比较。MicroTrac在参与者每天花费的99.5%的时间内正确分类了ME。MicroTrac的能力有助于减少空气污染暴露模型和健康研究中个人暴露指标的时间-位置不确定性。
A critical aspect of air pollution exposure assessment is the estimation of the time spent by individuals in various microenvironments (ME). Accounting for the time spent in different ME with different pollutant concentrations can reduce exposure misclassifications, while failure to do so can add uncertainty and bias to risk estimates. In this study, a classification model, called MicroTrac, was developed to estimate time of day and duration spent in eight ME (indoors and outdoors at home, work, school; inside vehicles; other locations) from global positioning system (GPS) data and geocoded building boundaries. Based on a panel study, MicroTrac estimates were compared with 24-h diary data from nine participants, with corresponding GPS data and building boundaries of home, school, and work. MicroTrac correctly classified the ME for 99.5% of the daily time spent by the participants. The capability of MicroTrac could help to reduce the time–location uncertainty in air pollution exposure models and exposure metrics for individuals in health studies.
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