Containing the implications of the Covid-19 pandemic has and continues to be a priority around the globe. Pursuant to this, scientists have focused on understanding the virus spread's behavior and patterns to develop mitigation plans. Artificial Intelligence agent-based simulations (ABS) have been used by scientists to simulate virus spread and control. ABS can model different variables and decisions in specific environments and contexts to find ways to reduce the transmission and diminish the severity of this pandemic. This paper presents a review of literature on ABS modeling to contain the virus through pharmaceutical and non-pharmaceutical interventions and the impact of the virus spread on economies.