  Scientific literature tends to grow as a function of funding and interest in
a given field. Mining such literature can reveal trends that may not be
immediately apparent. The CORD-19 corpus represents a growing corpus of
scientific literature associated with COVID-19. We examined the intersection of
a set of candidate therapeutics identified in a drug-repurposing study with
temporal instances of the CORD-19 corpus to determine if it was possible to
find and measure changes associated with them over time. We propose that the
techniques we used could form the basis of a tool to pre-screen new candidate
therapeutics early in the research process.
