Mathematical models are essential tools in epidemiology for understanding and predicting the outcomes of ecological interactions. These models can incorporate various factors such as host density, transmission rates, and environmental conditions to simulate disease dynamics. They help in identifying potential intervention points and evaluating the effectiveness of control measures.