Statistical models in epidemiology are revised to improve their accuracy and reliability. Epidemiological data is constantly evolving, and new information can lead to more effective models. Additionally, revisions are crucial for addressing limitations of previous models, incorporating new variables, and adapting to emerging diseases. By updating models, epidemiologists can enhance their ability to predict disease dynamics and implement effective public health interventions.
