Despite advancements, predicting influenza poses several challenges:
Data Quality: Inaccurate or incomplete data can lead to erroneous predictions. Virus Evolution: Rapid changes in virus strains complicate forecasting efforts. Human Behavior: Variability in people's behavior and social interactions affect transmission dynamics. Global Variability: Differences in healthcare infrastructure and reporting practices across regions. Model Limitations: No model can perfectly capture the complexity of influenza transmission.
