BYU

Abstract by Shelby Taylor

Personal Infomation


Presenter's Name

Shelby Taylor

Degree Level

Masters

Abstract Infomation


Department

Statistics

Faculty Advisor

Matthew Heaton

Title

Predicting and Explaining Preadolescent Children\'s PM10 exposure

Abstract

Particles with an aerodynamic diameter of 10\\mu/m or less, otherwise known as PM10 can carry allergens, pesticides, radioactive material, and other harmful chemicals into the lungs. Studies often use stationary monitors to measure PM10 particles in the air, however they may not accurately measure the true number of particles entering the lungs. The goal of this analysis is to understand the predictive accuracy of stationary monitors and factors such as child's activity level and settled dust concentration in measuring the true quantity of PM10 particles entering the lungs. We created a hierarchical Bayesian model that allows for child-specific effects of various activities and, at the lower levels, links these individual effects into an average effect of activities and stationary monitor on true PM10 exposure.  Results indicate that the effect of activities and the stationary monitor vary greatly from child-to-child, complicating the use of a stationary monitor to explain PM10 exposure.