Pandemic Response Predictive Modeling Framework

Construct a comprehensive epidemiological modeling framework that integrates real-time data streams from multiple sources including public health reports, social media sentiment, mobility data, and clinical records. Develop a dynamic simulation model capable of predicting disease spread with geospatial granularity, accounting for population demographics, vaccination rates, and potential mutation scenarios. Include robust uncertainty quantification and scenario planning capabilities.