The dynamics of coronavirus (COVID-19) infection with social distance as an intervention are studied using a mathematical model based on a system of ordinary differential equations. The next generation matrix technique is used to calculate the fundamental reproduction number. The existence of the model’s steady states is established, and the model’s stability is investigated. The disease free (DFE) and endemic equilibrium (EE) points are found to be locally asymptotically stable using the Routh-Hurwitz criterion and center manifold theory, respectively. The model’s numerical simulation revealed that social distance has a significant impact in COVID-19 transmission decrease.