Model fitting in epidemiology faces several challenges, including:
Data Quality: Inaccurate or incomplete data can lead to poor model fit and unreliable predictions. Complexity: Real-world disease dynamics are often more complex than the models can capture. Parameter Uncertainty: Estimating parameters with high confidence can be difficult, especially with limited data. Computational Resources: Some models require significant computational power, which may not always be available.
