This document summarizes a study analyzing temporal, land use, acorn distribution, population, and climate factors contributing to Lyme disease cases in the Northeast United States from 2007 to 2011. The study used principal component analysis and regression to determine that the percentage of forested and grassland areas within counties, and the strength of disease reservoirs from previous cases, were significant factors, while urban area, climate variables, and oak tree variation were not significant contributors to Lyme disease rates. The analysis was limited by available data and issues with normality and heteroscedasticity in the data set.