Cross-Correlation of Publications Dynamics and Pandemic Statistics

Abstract

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.

Note: Funding: Self Funded

Declaration of Interest: Information data flows, information dissemination, information networks, modeling of systems and networks, information streams

Keywords: infection, mortality, aggregator, model, COVID, crowd sourcing, prognoses

JEL Classification: I10, Y10, Z18