Advanced simulations in epidemiology refer to the use of sophisticated computational models to understand the dynamics of infectious diseases, predict future outbreaks, and evaluate the effectiveness of public health interventions. These simulations leverage large datasets, complex algorithms, and high-performance computing to mimic the spread of diseases within populations, considering various biological, social, and environmental factors.
