Simplifying assumptions in epidemiology are theoretical constructs or premises made to make complex models more manageable and to facilitate analysis and understanding. These assumptions help researchers develop models that can predict the spread of diseases, understand risk factors, and evaluate interventions. However, while they make models more tractable, they can also introduce biases and inaccuracies if not carefully considered.
