This work investigates the cross-correlation between information sources and factual data about infection and mortality rates. The source data (datasets) was obtained from the aggregator of factual information Our World In Data and the content monitoring system InfoStream. The results of this research allow for the conclusion that society is greatly capable of making prognoses where the trends from information sources precede actual results. Keywords: infection, mortality, aggregator, model, covid, crowd sourcing, prognoses JEL Classification: I10, Y10, Z18 Distributed in Information Systems: Behavioral & Social Methods eJournal Vol 12, Issue 28, August 06, 2020. Distributed in Coronavirus & Infectious Disease Research eJournal Vol 1, Issue 89, August 06, 2020.