Role of vaccination status, socioeconomic status including insurance, and geographic location, on the geospatial spread of COVID-19 pandemic are estimated using geospatial modeling techniques. Results show that the percentage of the senior population, the vaccination rate and the uninsured percentage are the most important variables for predicting infection rates and the fatality rates, while the overall social vulnerability index has a huge impact on mortality rates and infection rates.