Mathematical models are essential tools in epidemiology, aiding in both understanding and predicting disease dynamics. These models typically pursue two main objectives: first, to simulate epidemiological processes based on key assumptions, thereby improving understanding of disease transmission and behavior; and second, to predict the progression of an outbreak, helping inform public health strategies. During the COVID-19 pandemic, mathematical modeling took center stage to understand this new virus and its rapid global spread.