Statistical Analyses for Assessing Space-Time Exposure Data

评估时空暴露数据的统计分析

• 批准号: 8325874
• 负责人: Kirsten Anne Koehler
• 金额: $ 8.81万
• 依托单位: COLORADO STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2013-08-23
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8325874
• 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.

项目概要 暴露评估的技术进步是干预、控制和预防的必要组成部分 合规性，最近提高了便携式直读式的准确性、可靠性和经济性 监视器。这些监测仪可以快速评估工人接触职业危害的情况。通过耦合 估计暴露于已知位置，工业卫生员有能力将暴露与 具体来源。空间危险浓度的等高线图（称为浓度图）具有 最近被用来评估危害的空间变异性。浓度图有潜力 之所以强大，是因为它们很容易为管理者、暴露的员工和职业健康所理解 科学家们找到关注的领域。减少或消除这些区域的暴露将改善工人 健康。虽然我们相信直读仪器在帮助识别和识别方面具有巨大的潜力。 减轻工作场所暴露危害，如果没有考虑到应用这种方法可能是危险的 了解与这种新形式的暴露评估相关的不确定性。迄今为止，还没有统计 框架已应用于这些地图。该项目的目标是评估多项统计数据 分析使用直读仪器收集的工作场所暴露数据的方法。 该项目有三个具体目标。首先，我们将采用空间统计制图方法来构建 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，我们将收集危险浓度随时间和空间变化的综合数据集 噪音水平和气溶胶浓度暴露。第三，我们将生成参考浓度图 高时间和空间分辨率数据集，我们可以根据它评估更简单的统计模型。