Several factors can influence the predictive accuracy of epidemiological models:
Data Quality: Inaccurate or incomplete data can severely impact model performance. Model Complexity: Overly complex models may overfit the data, while overly simple models may underfit. External Validity: The model’s applicability to different populations or settings can affect its accuracy. Temporal Factors: The time period of data collection and prediction can influence results.
