Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study

2 code implementations • 10 Apr 2024 • Hongru Du, Jianan Zhao, Yang Zhao, Shaochong Xu, Xihong Lin, Yiran Chen, Lauren M. Gardner, Hao, Yang

Forecasting the short-term spread of an ongoing disease outbreak is a formidable challenge due to the complexity of contributing factors, some of which can be characterized through interlinked, multi-modality variables such as epidemiological time series data, viral biology, population demographics, and the intersection of public policy and human behavior.

Representation Learning Time Series