The datasets I have selected come from the Center for Air, Climate, &
Energy Solutions (CACES) and the County Health Rankings &
Roadmaps (CHR&R) websites.
The data from CACES provides estimates of outdoor concentrations
of O3, CO, SO2, NO2, and PM10, PM2.5, all of which are all known
pollutants, at the county level. Using this dataset, I can explore the
impact of air pollutants on population health by merging with the
CHR&R data. The CHR&R data provides information about health
factors at the county level. These health factors include the mortality
rate and the prevalence of outcomes like heart disease, stroke, and
cancer, among others. The data also includes socioeconomic measures
like the number of uninsured, median income, obesity prevalence,
smoking prevalence, and excessive drinking prevalence, among others.
The data can be used to find ways to improve community health.
The combination of both datasets will allow me to explore how
geographic location impacts population health.
