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arXiv · 2008.05644

A Deep Learning Approach for COVID-19 Trend Prediction

Tong Yang·Long Sha·Justin Li·Pengyu Hong
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Abstract

In this work, we developed a deep learning model-based approach to forecast the spreading trend of SARS-CoV-2 in the United States. We implemented the designed model using the United States to confirm cases and state demographic data and achieved promising trend prediction results. The model incorporates demographic information and epidemic time-series data through a Gated Recurrent Unit structure. The identification of dominating demographic factors is delivered in the end.

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Tong Yang, Long Sha, Justin Li, Pengyu Hong. 2020-08-09. A Deep Learning Approach for COVID-19 Trend Prediction. https://arxiv.org/abs/2008.05644

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