Computational models in epidemiology are mathematical and statistical tools used to simulate the spread of diseases within populations. These models help researchers and public health officials understand the dynamics of infectious diseases, predict future outbreaks, and evaluate the effectiveness of different intervention strategies. They can range from simple mathematical equations to complex simulations that incorporate various factors such as human behavior, environmental conditions, and genetic variability of pathogens.
