References#

[1]

Bryan Lim, Sercan Ö Arık, Nicolas Loeff, and Tomas Pfister. Temporal fusion transformers for interpretable multi-horizon time series forecasting. International Journal of Forecasting, 37(4):1748–1764, 2021.

[3]

USA Facts. US COVID-19 cases and deaths. 2020-22. URL: https://usafacts.org/visualizations/coronavirus-covid-19-spread-map/.

[4]

Unacast. Social Distancing Scoreboard. 2020-22. URL: https://www.unacast.com/post/unacast-updates-social-distancing-scoreboard.

[5]

CDC. COVID-19 Vaccinations in the United States Counties. 2020-22. URL: https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-County/8xkx-amqh.

[6]

J. C. Clement, V. Ponnusamy, K. Sriharipriya, and R. Nandakumar. A survey on mathematical, machine learning and deep learning models for covid-19 transmission and diagnosis. IEEE Reviews in Biomedical Engineering, 15:325–340, 2021.

[7]

B. Lim and S. Zohren. Time-series forecasting with deep learning: a survey. Philosophical Transactions of the Royal Society A, 379(2194):20200209, 2021.

[8]

A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin. Attention is all you need. In I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett, editors, Advances in Neural Information Processing Systems, volume 30. Curran Associates, Inc., 2017.