Context-Aware Time-Series Forecasting for Respiratory Infectious Diseases: Fusing Epidemiological Metrics With Textual Context
The potential of context-aware LLM forecasting under the evaluated U.S. public health data settings is demonstrated and the importance of contextual data quality for multimodal epidemic prediction is highlighted, to highlight the importance of contextual data quality for multimodal epidemic prediction.