Abstract by Ben Tingey
Exposure of Particulate Matter (pm10)
A common problem in assessing the impacts of pollution on public health is measuring the actual exposure of individuals to pollutants. The majority of research studies use a stationary monitor to collect data on pollution in the room as a proxy for pollution exposure. To test the reliability of using a stationary measurement to quantify exposure, children were recruited and equipped with go-Pro vests which would monitor the exact pollution exposure of the child. Such factors as age of child, average dust load of the home, activities being performed by the child, one stationary monitor in a single room, and other factors were assessed over a 2-hour period were also collected. The goal of the research was to assess if these factors were statistically significant predictors in assessing the true pollution exposure of these children. A Bayesian, hierarchical regression model was constructed to test this statistical significance. Main conclusions from using this model include (i) a general positive trend between the stationary monitor readings and actual pm10 readings through the go-Pro and (ii) the predictability of pollution exposure varies greatly between children.