logo
ResearchBunny Logo
Is the worst of the COVID-19 global pandemic yet to come? Application of financial mathematics as candidate predictive tools

Medicine and Health

Is the worst of the COVID-19 global pandemic yet to come? Application of financial mathematics as candidate predictive tools

P. Dogra, E. J. Koay, et al.

This exciting research, conducted by Prashant Dogra and colleagues, delves into the predictive power of the Elliott Wave Principle in understanding the emotional drivers behind the COVID-19 pandemic. The team analyzes daily case data to offer insightful projections, from optimistic rapid vaccination scenarios to concerning outcomes of poor adherence to health measures.

00:00
00:00
Playback language: English
Abstract
This paper explores the application of the Elliott Wave Principle, a financial market prediction method based on crowd psychology, to predict the future evolution of the COVID-19 pandemic. The authors hypothesize that human emotions driving pandemic-related behaviors (vaccination rates, adherence to preventive measures) can be modeled similarly to those influencing financial markets. They analyze daily new case data for various countries and extrapolate potential scenarios ranging from a best-case (rapid, full vaccination) to a worst-case (slow vaccination, poor adherence to preventive measures).
Publisher
Translational Psychiatry
Published On
Jan 31, 2021
Authors
Prashant Dogra, Eugene J. Koay, Zhihui Wang, Farhaan S. Vahidy, Mauro Ferrari, Renata Pasqualini, Wadih Arap, Marc L. Boom, H. Dirk Sostman, Vittorio Cristini
Tags
Elliott Wave Principle
COVID-19
crowd psychology
vaccination rates
predictive modeling
pandemic behaviors
public health
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny