Lima and Atman utilized an agent-based model to understand the role of COVID-19 superspreaders in an urban population with lessened mobility. Results demonstrated that lockdowns that lead to a 70%-90% mobility restriction flatten the infection curve. These restrictions proved significant in preventing an overburdened health system; with mobility restrictions in place, the percentage of population hospitalized in ICUs was 0.35% (90% restriction) compared with 2.87% (no restriction). While mask-wearing was also found to somewhat slow the spread of infection, results suggest that achieving large decreases in transmission requires combining this with additional non-pharmaceutical interventions. Simulations demonstrated that 13% of infected individuals were responsible for 77% of infections, and 70% of individuals did not further transmit infection.