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Machine Learning and Probabilistic Approaches for Forecasting Infectious Disease Transmission and Cases

2025-06-24

Abstract excerpt

<h4>Objectives</h4> Forecasting the effective reproductive number ( R t ) and infection case counts is critical for guiding public health responses. We developed a machine learning and probabilistic forecasting framework to predict R t and daily COVID-19 cases, respectively, across South Carolina counties, with the flexibility to generalize to other infectious diseases. <h4>Methods</h4> We first estimated R...

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Literature Corpus work
b8e514bc-a008-50f4-8f3d-3021a96e8d6f
DOI
10.1101/2025.06.24.25330210
Open publication

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Machine Learning and Probabilistic Approaches for Forecasting Infectious Disease Transmission and CasesDOI 10.1101/2025.06.24.25330210
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