Extended Data Fig. 1: Overview of 1 and 3-week Targets Design and Experimental Setups for the PandemicLLMs. | Nature Computational Science

Extended Data Fig. 1: Overview of 1 and 3-week Targets Design and Experimental Setups for the PandemicLLMs.

From: Advancing real-time infectious disease forecasting using large language models

Extended Data Fig. 1

The black line shows the average COVID-19 hospitalization rate per 100,000 people in the U.S. plotted over time. Each data point (dot) represents the hospitalization rate for a specific state at a particular week. The color of each dot corresponds to the state’s resulting HTC category for that week. Three PandemicLLMs were developed, each trained and validated on data ending in June 2021 (PandemicLLM-1), December 2021 (PandemicLLM-2), and September 2022 (PandemicLLM-3), respectively. All models were subsequently evaluated on a dataset spanning from their respective end dates to February 2023, without retraining. Panel (a) visualizes 1-week targets, while panel (b) shows 3-week targets. Dates are in the format year-month-day.

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