Cross-Correlation of Publications Dynamics and Pandemic Statistics

9 Pages Posted: 22 Jun 2020

See all articles by Dmitry Lande

Dmitry Lande

Institute for information Recording of NASU

Leonard Strashnoy

University of California, Los Angeles (UCLA)

Date Written: June 12, 2020

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

Suggested Citation

Lande, Dmitry and Strashnoy, Leonard, Cross-Correlation of Publications Dynamics and Pandemic Statistics (June 12, 2020). Available at SSRN: https://ssrn.com/abstract=3625725 or http://dx.doi.org/10.2139/ssrn.3625725

Dmitry Lande

Institute for information Recording of NASU ( email )

Shpaka str., 2
Kyiv, 03013
Ukraine

Leonard Strashnoy (Contact Author)

University of California, Los Angeles (UCLA) ( email )

405 Hilgard Avenue
Box 951361
Los Angeles, CA 90095
United States

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