Computational methods in epidemiology refer to the use of computer-based algorithms and models to analyze and interpret epidemiological data. These methods encompass a variety of techniques, including machine learning, statistical modeling, and simulation modeling. These tools enable researchers to make sense of large datasets, identify patterns, and predict outcomes with greater accuracy than traditional methods.
