Equation-Based Modeling vs. Agent-Based Modeling with Applications to the Spread of COVID-19 Outbreak

In this paper, we explore two modeling approaches to understanding the dynamics of infectious diseases in population: equation-based (EBM) and agent-based (ABM). To achieve this, a comparative study these was conducted highlighted their advantages disadvantages. Two case studies on spread COVID-19 pandemic were carried out using both approaches. The results obtained show that differential models are faster but still simplistic, while require more machine capabilities realistic very close biology. Based outputs, it seems coupling could be an interesting compromise.