首页> 外文会议>Joint annual meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology >Contribution of Aerosol Optical Depth (AOD) Fine Particulate Matter (PM2.5) Fused Surfaces in Assessing Risk of Respiratory-Cardiovascular Hospitalizations and Emergency Room Visits in Baltimore
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Contribution of Aerosol Optical Depth (AOD) Fine Particulate Matter (PM2.5) Fused Surfaces in Assessing Risk of Respiratory-Cardiovascular Hospitalizations and Emergency Room Visits in Baltimore

机译:在巴尔的摩评估呼吸心血管住院和急诊就诊风险的气溶胶光学厚度(AOD)细颗粒物(PM2.5)融合表面的贡献

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Advancements in air pollution monitoring using (satellite) remote sensing of fine particulate matter (i.e., Aerosol Optical Depth PM2.5 [AOD PM2.5]), along with ground-based air quality monitors and air quality models have been used together in Hierarchical Bayesian Models (HBMs) to create a 'fused' air quality model surface. This study examined Baltimore, Maryland during 2004 - 2006, and complements a previous study conducted in the New York City metropolitan area, presented at the 82nd NEHA Annual Educational Conference (AEC), (Weber et al., 2016: DOI: 10.1016/j.envres.2016.07.012; http://www.sciencedirect.com/science/article/pii/S0013935116302961). The objective was to determine if combining these three data sources enhanced understanding of the influence of PM2.5 concentration on the risk of respiratory and cardiovascular diseases. This study used a case-crossover design and conditional logistic regression analysis to determine the contribution of PM2.5 to asthma related emergency department (ED) visits and inpatient hospitalizations for asthma, myocardial infarction (Ml), and heart failure (HF) in Baltimore. The analysis used five HBM air pollution concentration surfaces. Four surfaces contained AOD PM2.5 measurements, monitor measurements, and air quality model estimates, and one surface represented the 'baseline' (monitor measurements and air quality model estimates only). The Baltimore study area covered an 11 (north-south) by 9 (east-west) Community Multiscale Air Quality Modeling System (CMAQ) 12 km grid region. Of the 99 CMAQ grids in Baltimore, 17 grids contained PM2.5 air pollution monitors. There were two major differences between the previous New York City study and the Baltimore study. First, there were more asthma. Ml and HF cases in New York City than in Baltimore, which was expected, since New York City's population is larger than the population of the state of Maryland. Second, the mean PM2.5 values (in u.g/m3), for all five surfaces, were significantly higher in Baltimore than in New York City.
机译:在分层系统中,使用(卫星)细颗粒物(即,气溶胶光学深度PM2.5 [AOD PM2.5])遥感进行空气污染监测以及地面空气质量监测器和空气质量模型的进步贝叶斯模型(HBM)创建“融合”空气质量模型表面。这项研究在2004年至2006年期间对马里兰州的巴尔的摩进行了研究,并对先前在纽约市都会区进行的第82届NEHA年度教育会议(AEC)上进行的研究进行了补充(Weber等人,2016:DOI:10.1016 / j .envres.2016.07.012; http://www.sciencedirect.com/science/article/pii/S0013935116302961)。目的是确定将这三个数据源结合起来是否可以增强对PM2.5浓度对呼吸道和心血管疾病风险的影响的了解。这项研究使用病例交叉设计和条件逻辑回归分析来确定PM2.5对巴尔的摩哮喘相关急诊室(ED)的就诊和哮喘,心肌梗塞(Ml)和心力衰竭(HF)住院住院的贡献。分析使用了五个HBM空气污染浓度表面。四个表面包含AOD PM2.5测量值,监测器测量值和空气质量模型估算值,一个表面代表“基准”(仅监测器测量值和空气质量模型估算值)。巴尔的摩研究区覆盖11公里(南北)乘9(东西)的社区多尺度空气质量建模系统(CMAQ)12公里网格区域。在巴尔的摩的99个CMAQ网格中,有17个网格包含PM2.5空气污染监测仪。先前的纽约市研究与巴尔的摩研究之间有两个主要区别。首先,有更多的哮喘病。由于纽约市的人口大于马里兰州的人口,因此纽约市的Ml和HF病例比巴尔的摩的情况要好。其次,巴尔的摩的所有五个表面的平均PM2.5值(以微克/立方米为单位)显着高于纽约市。

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