Article

A Machine Learning-enabled SIR Model for Adaptive and Dynamic Forecasting of COVID-19

2024-07-31

Abstract excerpt

The COVID-19 pandemic has posed significant challenges to public health systems worldwide, necessitating accurate and adaptable forecasting models to manage and mitigate its impacts. This study presents a novel forecasting framework based on a Machine Learning-enabled Susceptible-Infected-Recovered (ML-SIR) model with time-varying parameters to predict COVID-19 dynamics across multiple geographies. The model incor...

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Literature Corpus work: ca55a1cc-2373-5a89-8f60-f851c93bcc7d
DOI: 10.1101/2024.07.30.24311170

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