Article

Foundation time series models for forecasting and policy evaluation in infectious disease epidemics

2025-02-25

Abstract excerpt

Epidemic forecasting and policy evaluation rely on mathematical models to predict infectious disease trends and assess the impact of public health policies. Traditional models typically require extensive epidemiological data and may struggle in data-limited settings. Transformer-based, foundation AI models have demonstrated strong predictive capabilities in various time series applications. We investigated whether...

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Literature Corpus work: 6c7b8adc-5e00-599e-9d0c-ba2a8b331b24
DOI: 10.1101/2025.02.24.25322795

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