The COVID-19 pandemic has had a significant impact on the American meat industry, with meatpacking plants becoming hotspots for infection due to low temperatures, cramped conditions, and long hours. Geospatial analysis using tools such as CARTOframes, Xarray-spatial, and Datashader has been used to assess the relationship between distance to meatpacking plants and confirmed COVID-19 cases. The analysis found a weak negative correlation between the two variables, indicating that areas farther away from meatpacking plants tend to have lower COVID-19 case rates. This research highlights the potential of geospatial analysis to inform public policy and awareness around COVID-19.