Statistical Analyses for Assessing Space-Time Exposure Data

评估时空暴露数据的统计分析

• 批准号: 8810710
• 负责人: Kirsten Anne Koehler
• 金额: $ 10.82万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-24 至 2015-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8810710
• 关键词: Statistical; Analyses; Assessing; Space; Time

Project Summary Technological advancements in exposure assessment, a necessary component of intervention, control, and compliance, have recently increased the accuracy, reliability, and affordability of portable, direct-reading monitors. These monitors can rapidly assess worker exposures to occupational hazards. By coupling the estimated exposure with a known location, an industrial hygienist has the ability to connect exposures to specific sources. Contour plots of the hazard concentration over space, known as concentration maps, have recently been used to assess the spatial variability of hazards. Concentration maps have the potential to be powerful because they are easily comprehensible for managers, exposed employees, and occupational health scientists to locate areas of concern. Reducing or eliminating exposures in these areas will improve worker health. While we believe there is great potential for direct-reading instruments to aid in the identification and mitigation of workplace exposure hazards, it can be dangerous to apply such a methodology without understanding the uncertainties associated with this new form of exposure assessment. To date, no statistical framework has been applied to these maps. The goal of this project is to evaluate several statistical approaches for the analysis of workplace exposure data collected with direct-reading instruments. There are three specific aims for this project. First, we will employ a spatial statistical mapping method to build reliable mapped exposure estimates and confidence intervals using a previously collected exposure dataset. Second, we will collect a comprehensive dataset of hazard concentration as a function of time and space for noise level and aerosol concentration exposures. Third, we will generate a reference concentration map from the high temporal and spatial resolution dataset, against which we may evaluate simpler statistical models.

项目摘要 接触评估的技术进步，是干预、控制和 合规性，最近提高了便携式，直接阅读的准确性，可靠性和可负担性 监测器这些监测器可以快速评估工人接触职业危害的情况。通过耦合 在已知位置的估计暴露量，工业生物学家有能力将暴露量与 具体来源。空间上危险浓度的等值线图，称为浓度图， 最近被用来评估灾害的空间变异性。浓度图有可能成为 强大的，因为他们很容易理解的管理人员，暴露的员工和职业健康 科学家们找到了令人担忧的地方。减少或消除这些区域的暴露将改善工人的健康状况。 健康虽然我们认为，直接阅读仪器在帮助识别和 为了减轻工作场所暴露危害，如果不采用这种方法，可能会很危险 了解与这种新形式的暴露评估相关的不确定性。到目前为止，没有统计数据 框架已应用于这些地图。该项目的目标是评估几个统计 使用直接读数仪器收集的工作场所接触数据的分析方法。 该项目有三个具体目标。首先，我们将采用空间统计映射方法来构建 使用先前收集的暴露数据集进行可靠的映射暴露估计和置信区间。 其次，我们将收集一个全面的灾害集中数据集，作为时间和空间的函数， 噪声水平和气溶胶浓度暴露。第三，我们将根据以下内容生成参考浓度图： 高时间和空间分辨率数据集，我们可以评估更简单的统计模型。