Here are some interesting papers, all of them are preprints published and available in arXiv:
1. Chen, Yu-chun, Ping-En Lu and Cheng-Shang Chang. “A Time-dependent SIR model for COVID-19.” ArXiv abs/2003.00122 (2020).
2. Magdon-Ismail, Malik. “Machine Learning the Phenomenology of COVID-19 From Early Infection Dynamics.” (2020).
3. Metsky, Hayden C, Catherine A Freije, T.-S. F. Kosoko-Thoroddsen, Pardis C. Sabeti and Cameron Myhrvold. “CRISPR-based COVID-19 surveillance using a genomically-comprehensive machine learning approach.” (2020).
4. Pandey, Rohan, Vaibhav Gautam, Kanav Bhagat and Tavpritesh Sethi. “A Machine Learning Application for Raising WASH Awareness in the Times of Covid-19 Pandemic.” ArXiv abs/2003.07074 (2020).