Article

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

2024-05-03

Abstract excerpt

<title>Abstract</title> <p>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. Existing forecasting model fra...

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Literature Corpus work: a716694a-0053-5442-bc13-f186309037f2
DOI: 10.21203/rs.3.rs-4244182/v1

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