Rodriguez, Alexander, Tabassum, Anika, Cui, Jiaming, Xie, Jiajia, Ho, Javen, Agarwal, Pulak, Adhikari, Bijaya, and Prakash, B. Aditya. DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. Retrieved from https://par.nsf.gov/biblio/10230725. Proceedings of AAAI . Web. doi:10.1101/2020.09.28.20203109.

Rodriguez, Alexander, Tabassum, Anika, Cui, Jiaming, Xie, Jiajia, Ho, Javen, Agarwal, Pulak, Adhikari, Bijaya, & Prakash, B. Aditya. DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. Proceedings of AAAI, (). Retrieved from https://par.nsf.gov/biblio/10230725. https://doi.org/10.1101/2020.09.28.20203109

Rodriguez, Alexander, Tabassum, Anika, Cui, Jiaming, Xie, Jiajia, Ho, Javen, Agarwal, Pulak, Adhikari, Bijaya, and Prakash, B. Aditya. "DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting". Proceedings of AAAI (). Country unknown/Code not available. https://doi.org/10.1101/2020.09.28.20203109. https://par.nsf.gov/biblio/10230725.

@article{osti_10230725,
place = {Country unknown/Code not available}, title = {DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting}, url = {https://par.nsf.gov/biblio/10230725}, DOI = {10.1101/2020.09.28.20203109}, abstractNote = {}, journal = {Proceedings of AAAI}, author = {Rodriguez, Alexander and Tabassum, Anika and Cui, Jiaming and Xie, Jiajia and Ho, Javen and Agarwal, Pulak and Adhikari, Bijaya and Prakash, B. Aditya}, }