Despite advancements, several challenges remain in predicting disease outbreaks:
Data quality and availability: Incomplete or inaccurate data can lead to unreliable predictions. Complexity of disease dynamics: Multiple factors influence disease spread, making it difficult to model accurately. Emerging pathogens: New diseases or mutations can be unpredictable and lack historical data. Human behavior: Changes in behavior, such as increased travel or vaccine uptake, can alter disease dynamics.
