Capstone Projects

Air Quality Impact on COVID-19 Diagnoses

Program: Data Science Master's Degree
Location: Not Specified (remote)
Student: Luke Dennis

This study investigated the connection between air pollutant levels, COVID-19 cases and socio-economic factors by county in the United States in 2022. Air pollution data was collected from the EPA, COVID-19 case data was obtained from the CDC and socio-economic data was retrieved from the US Census Bureau.   

Air pollutant PM2.5 is strongly correlated with COVID-19 cases, while air pollutant Ozone is negatively correlated with COVID-19 cases. Air pollutant PM10 has no effect on COVID-19 cases.  Population density has a strong positive correlation with COVID-19 cases, median age has a mild negative correlation, and mean income has little to no impact. 

Median age has a moderate negative correlation with PM2.5 levels, mean income has a mild negative correlation and population density has no impact. 

Population density and median age have negative correlations with Ozone levels and mean income has a positive correlation.