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Enhancing Pandemic Prediction: A Deep Learning Approach Using Transformer Neural Networks and Multi-Source Data Fusion for Infectious Disease Forecasting

2025-06-24

Abstract excerpt

The Covid-19 pandemic has highlighted the urgent need for accurate prediction of pandemic trends. We propose a deep learning model for predicting Covid-19 cases and deaths at the county level through transformer neural networks with multi-source data fusion, incorporating historical case data, death data, and social media sentiment analysis to capture both temporal (historical trends) and spatial (geographical rel...

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Literature Corpus work
c089f4b8-75ed-51c0-b749-dee7d764f45c
DOI
10.1101/2025.06.24.25330211
Open publication

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Enhancing Pandemic Prediction: A Deep Learning Approach Using Transformer Neural Networks and Multi-Source Data Fusion for Infectious Disease ForecastingDOI 10.1101/2025.06.24.25330211
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