Disease prediction models are mathematical and computational frameworks designed to forecast the incidence, prevalence, and spread of diseases. They integrate data from various sources, such as epidemiological surveys, clinical records, and environmental factors, to generate predictions. These models can range from simple statistical models to complex machine learning algorithms.
