While simplified models offer valuable insights, they also have limitations:
1. Oversimplification: Important variables and interactions may be overlooked, leading to inaccurate predictions. 2. Data Dependence: The accuracy of these models depends on the quality and availability of data, which can be a limiting factor. 3. Assumption Sensitivity: The results can be highly sensitive to the assumptions made, and small changes in assumptions can lead to vastly different outcomes. 4. Limited Scope: Simplified models may not capture the full complexity of real-world scenarios, such as varying contact patterns and individual behaviors.
