Development of a Multi Pollutant Model to Assess Air Pollution Association with Human Health Effects

S. Jarvis, Wesley S. Burr
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Abstract

- A number of methodologies have been developed for investigation of the association between human health and exposure to a single pollutant [e.g., 1]. However, as pollutants are correlated, and the joint effect of pollutants is of high interest, work continues on development for multiple pollutant models. In this work, we discuss a method using Thin Plate Splines (TPS) to simultaneously model both PM 2.5 (particulate matter less than 2.5 μm in aerodynamic diameter) and O 3 (ozone) in association with human mortality. The results are compared to effect estimates obtained from single pollutant models. We find similar temporal trends in the estimates, with large movements in both PM 2.5 and O 3 being captured in the TPS estimates. The estimated errors for the TPS method are larger than the individual models combined and produce risks that are comparable but slightly elevated.
建立多污染物模型以评估空气污染对人类健康的影响
-为调查人类健康与接触单一污染物之间的关系,已制定了若干方法[例如1]。然而,由于污染物是相互关联的,并且污染物的共同作用是人们非常感兴趣的,因此多种污染物模型的开发工作仍在继续。在这项工作中,我们讨论了一种使用薄板样条(TPS)同时模拟PM 2.5(空气动力学直径小于2.5 μm的颗粒物)和o3(臭氧)与人类死亡率相关的方法。将结果与从单一污染物模型获得的影响估计进行了比较。我们在估计中发现了类似的时间趋势,在TPS估计中捕捉到了PM 2.5和o3的大变化。TPS方法的估计误差大于单个模型的组合,并产生可比但略有升高的风险。
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