While epidemiological models are powerful tools, they have certain limitations:
- Data Quality: The accuracy of model predictions depends on the quality and completeness of the data used. - Simplifications: Models often rely on simplifying assumptions that may not capture all real-world complexities. - Uncertainty: There is inherent uncertainty in model parameters, which can affect the reliability of predictions. - Dynamic Systems: Disease dynamics can change over time due to various factors, making it challenging to maintain accurate models.
