Modelers are trying to anticipate the future of the COVID-19 epidemic based on relevant parameters driving its evolution. This paper explores the potential and the challenge of using BERT, a Natural Language Processing framework, to automate the task of gathering input information and assisting experts for COVID-19 studies.