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In this work, we study the pandemic course in the United States by considering national and state levels data.
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
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Statistical Analytics and Regional Representation Learning for COVID-19 Pandemic Understanding
Shayan Fazeli, Babak Moatamed, and Majid Sarrafzadeh. 2020 · 2008
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Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach
G.D. Barmparis and G.P. Tsironis. 2020 · 2020
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Multiscale dynamic human mobility flow dataset in the US during the COVID-19 epidemic
Yuhao Kang, Song Gao, Yunlei Liang, Mingxiao Li, Jinmeng Rao, and Jake Kruse. 2020 · 2020
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Examining covid-19 forecasting using spatio-temporal graph neural networks
Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, and Shawn O’Banion. 2020 · 2020
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