Collabovid's main goal is to semantically analyze recent research on SARS-CoV-2 and help researchers to find relevant articles. As a first step in reaching our goal, we introduce categories. Papers belong to at least one but may be part of multiple of the following categories. When searching for papers you can filter for certain topics. The category assignment is computed by a machine learning algorithm. The model was trained with an existing dataset from LitCovid. LitCovid is a curated literature hub for tracking scientific information about SARS-CoV-2.