Combined use of an electrostatic precipitator and a high-efficiency particulate air filter in building ventilation systems: Effects on cardiorespiratory health indicators in healthy adults.
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2018-05
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High-efficiency particulate air (HEPA) filtration in combination with an electrostatic precipitator (ESP) can be a cost-effective approach to reducing indoor particulate exposure, but ESPs produce ozone. The health effect of combined ESP-HEPA filtration has not been examined. We conducted an intervention study in 89 volunteers. At baseline, the air-handling units of offices and residences for all subjects were comprised of coarse, ESP, and HEPA filtration. During the 5-week long intervention, the subjects were split into 2 groups, 1 with just the ESP removed and the other with both the ESP and HEPA removed. Each subject was measured for cardiopulmonary risk indicators once at baseline, twice during the intervention, and once 2 weeks after baseline conditions were restored. Measured indoor and outdoor PM2.5 and ozone concentrations, coupled with time-activity data, were used to calculate exposures. Removal of HEPA filters increased 24-hour mean PM2.5 exposure by 38 (95% CI: 31, 45) μg/m3 . Removal of ESPs decreased 24-hour mean ozone exposure by 2.2 (2.0, 2.5) ppb. No biomarkers were significantly associated with HEPA filter removal. In contrast, ESP removal was associated with a -16.1% (-21.5%, -10.4%) change in plasma-soluble P-selectin and a -3.0% (-5.1%, -0.8%) change in systolic blood pressure, suggesting reduced cardiovascular risks.
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Day, DB, J Xiang, J Mo, MA Clyde, CJ Weschler, F Li, J Gong, J Gong, et al. (2018). Combined use of an electrostatic precipitator and a high-efficiency particulate air filter in building ventilation systems: Effects on cardiorespiratory health indicators in healthy adults. Indoor air, 28(3). pp. 360–372. 10.1111/ina.12447 Retrieved from https://hdl.handle.net/10161/33744.
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Merlise Clyde
Model uncertainty and choice in prediction and variable selection problems for linear, generalized linear models and multivariate models. Bayesian Model Averaging. Prior distributions for model selection and model averaging. Wavelets and adaptive kernel non-parametric function estimation. Spatial statistics. Experimental design for nonlinear models. Applications in proteomics, bioinformatics, astro-statistics, air pollution and health effects, and environmental sciences.
Junfeng Zhang
Dr. Zhang joined the Duke Faculty in fall 2013 from the University of Southern California where he had been a professor of environmental and global health and the director of Environmental and Biomarkers Analysis Laboratory since 2010. His prior positions include professor, department chair, and associate dean at the Rutgers School of Public Health. Dr. Zhang has more than 290 peer-reviewed publications. His work has been featured in major international media such as the Time, the New York Times, BBC, ABC, CBS, Yahoo News, etc. His early work on characterizing sources of non-methane greenhouse gases made him one of the officially recognized contributor to the 2007 Nobel Peace Prize awarded to IPCC. He is the 2012 recipient of the Jeremy Wesolowski Award, the highest award of the International Society of Exposure Science. He also received a Distinguished Alumni Award from the Rutgers Graduate School.
Dr. Zhang’s research interests include developing novel biomarkers of human exposure and health effects, assessing health and climate co-benefits of air pollution interventions, and examining biological mechanisms by which environmental exposures exert adverse health effects. Dr. Zhang has led a number of international collaborations to study air pollution health effects and underlying pathophysiologic mechanisms. These studies integrate epidemiological and toxicological approaches into natural experiment designs. He has conducted several indoor air purification intervention studies to evaluate the effectiveness of personal exposure reduction in improving health outcomes in China. Currently, he is conducting intervention trials of residential air purification in older adults with a heart disease history and adults at risk for Type 2 diabetes living in Los Angels where air pollution levels are high. He is co-leading a project to study whether and how particulate matter pollution affects respiratory viral infections in two cities of Mongolia.
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