Epidemiological models often involve numerous parameters and complex dynamics, making it challenging to identify the most effective strategies for disease control. Bayesian Optimization allows for efficient exploration of the parameter space, helping to identify optimal strategies with fewer computational resources. This is crucial in situations where quick decision-making is essential, such as during an outbreak.
