In epidemiology, the spread of diseases is influenced by numerous factors such as human behavior, environmental conditions, and pathogen characteristics, all of which can be unpredictable. Stochastic models incorporate randomness to more accurately reflect real-world scenarios, making them valuable for disease control and prevention strategies.
