In 2020, the global COVID-19 pandemic erupted. Without knowledge to combat the disease, hospitals around the globe were overrun. Scientists and mathematicians, using past information on extremely infectious viruses, began investigating the effectiveness of social distancing, facial coverings, and eventually, vaccinations. Mathematical models can be used to explore the quantitative effectiveness of vaccinations, facial coverings, and create predictive models to aid the creation of policies in order to prevent future surges in cases. This project will utilize the ordinary differential equation SIR model to explore susceptible (S), infectious (I), recovered (R) populations to explore impact of asymptomatic individuals. The products of this model can be used as a reference for preventative measures for future epidemics that follow a similar pattern to COVID-19.