It was hypothesized that the Peak Expiratory Flow (PEF) rate of asthmatic subjects varies inversely with the concentration of each pollutant, including airborne particulate matter (PM10), carbon dioxide (CO2), carbon monoxide (CO) and total volatile organic compounds (TVOCs). In Phase 1, over 100 subjects were recruited to participate in this study. Using scientific and HIPPA compliant methods, over 4 million air quality and PEFR readings. Based on the Pearson R Correlation coefficient, a strong inverse correlation was determined between the degradation in the PEFR and the PM10 and TVOC levels, but not between the CO2 and CO concentration levels.
In Phase 2, I developed a novel mathematical model and an interactive online application to quantify the percent what percent of a subject's PEF degradation is caused by the levels of PM10 and TVOC in each subject's environment. Medical practitioners and Environmental specialists alike could use my mathematical model as it provides a better estimate for the PEF rate and supports targeted remediation of indoor air quality. I have written a letter to the Chairman of the EPA and the U.S. President asking them to allow me to present my findings to them and discuss possible amendment to the Clean Air Act needs to include TVOCs as a criteria pollutant. Possible ideas for future research include engineering a smart thermostat that monitors air quality real-time and studying the effect of TVOC on the endothilial lining of our lungs.
I am excited to learn more about how you have quantified the effect of indoor air pollutants on the peak expiratory flow rate. Looking forward to meeting you at the conference.
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