  A COVID-19 pandemic has already proven itself to be a global challenge. It
proves how vulnerable humanity can be. It has also mobilized researchers from
different sciences and different countries in the search for a way to fight
this potentially fatal disease. In line with this, our study analyses the
abstracts of papers related to COVID-19 and coronavirus-related-research using
association rule text mining in order to find the most interestingness words,
on the one hand, and relationships between them on the other. Then, a method,
called information cartography, was applied for extracting structured knowledge
from a huge amount of association rules. On the basis of these methods, the
purpose of our study was to show how researchers have responded in similar
epidemic/pandemic situations throughout history.
