The accuracy of disease forecasting can vary based on several factors, such as the quality of data, the complexity of the model, and the nature of the disease. While no model can predict outbreaks with 100% accuracy, advances in technology and data analytics have significantly improved the reliability of forecasts. Continuous validation and updating of models are essential for maintaining accuracy.
