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

The Elliott Wave principle is a time-honored, oft-used method for predicting variations in the financial markets. It is based on the notion that human emotions drive financial decisions. In the fight against the COVID-19 global pandemic, human emotions are similarly decisive, for instance in that th...

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Autores principales: Dogra, Prashant, Koay, Eugene J., Wang, Zhihui, Vahidy, Farhaan S., Ferrari, Mauro, Pasqualini, Renata, Arap, Wadih, Boom, Marc L., Dirk Sostman, H., Cristini, Vittorio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134815/
https://www.ncbi.nlm.nih.gov/pubmed/34016952
http://dx.doi.org/10.1038/s41398-021-01429-0
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author Dogra, Prashant
Koay, Eugene J.
Wang, Zhihui
Vahidy, Farhaan S.
Ferrari, Mauro
Pasqualini, Renata
Arap, Wadih
Boom, Marc L.
Dirk Sostman, H.
Cristini, Vittorio
author_facet Dogra, Prashant
Koay, Eugene J.
Wang, Zhihui
Vahidy, Farhaan S.
Ferrari, Mauro
Pasqualini, Renata
Arap, Wadih
Boom, Marc L.
Dirk Sostman, H.
Cristini, Vittorio
author_sort Dogra, Prashant
collection PubMed
description The Elliott Wave principle is a time-honored, oft-used method for predicting variations in the financial markets. It is based on the notion that human emotions drive financial decisions. In the fight against the COVID-19 global pandemic, human emotions are similarly decisive, for instance in that they determine one’s willingness to be vaccinated, and/or to follow preventive measures including the personal wearing of masks, the application of social distancing protocols, and frequent handwashing. On this basis, we postulated that the Elliott Wave Principle may similarly be used to predict the future evolution of the COVID-19 pandemic. We demonstrated that this method reproduces the data pattern for various countries and the world (daily new cases). Potential scenarios were then extrapolated, from the best-case corresponding to a rapid, full vaccination of the population, to the utterly disastrous case of slow vaccination, and poor adherence to preventive protocols.
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spelling pubmed-81348152021-05-20 Is the worst of the COVID-19 global pandemic yet to come? Application of financial mathematics as candidate predictive tools Dogra, Prashant Koay, Eugene J. Wang, Zhihui Vahidy, Farhaan S. Ferrari, Mauro Pasqualini, Renata Arap, Wadih Boom, Marc L. Dirk Sostman, H. Cristini, Vittorio Transl Psychiatry Article The Elliott Wave principle is a time-honored, oft-used method for predicting variations in the financial markets. It is based on the notion that human emotions drive financial decisions. In the fight against the COVID-19 global pandemic, human emotions are similarly decisive, for instance in that they determine one’s willingness to be vaccinated, and/or to follow preventive measures including the personal wearing of masks, the application of social distancing protocols, and frequent handwashing. On this basis, we postulated that the Elliott Wave Principle may similarly be used to predict the future evolution of the COVID-19 pandemic. We demonstrated that this method reproduces the data pattern for various countries and the world (daily new cases). Potential scenarios were then extrapolated, from the best-case corresponding to a rapid, full vaccination of the population, to the utterly disastrous case of slow vaccination, and poor adherence to preventive protocols. Nature Publishing Group UK 2021-05-20 /pmc/articles/PMC8134815/ /pubmed/34016952 http://dx.doi.org/10.1038/s41398-021-01429-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Dogra, Prashant
Koay, Eugene J.
Wang, Zhihui
Vahidy, Farhaan S.
Ferrari, Mauro
Pasqualini, Renata
Arap, Wadih
Boom, Marc L.
Dirk Sostman, H.
Cristini, Vittorio
Is the worst of the COVID-19 global pandemic yet to come? Application of financial mathematics as candidate predictive tools
title Is the worst of the COVID-19 global pandemic yet to come? Application of financial mathematics as candidate predictive tools
title_full Is the worst of the COVID-19 global pandemic yet to come? Application of financial mathematics as candidate predictive tools
title_fullStr Is the worst of the COVID-19 global pandemic yet to come? Application of financial mathematics as candidate predictive tools
title_full_unstemmed Is the worst of the COVID-19 global pandemic yet to come? Application of financial mathematics as candidate predictive tools
title_short Is the worst of the COVID-19 global pandemic yet to come? Application of financial mathematics as candidate predictive tools
title_sort is the worst of the covid-19 global pandemic yet to come? application of financial mathematics as candidate predictive tools
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134815/
https://www.ncbi.nlm.nih.gov/pubmed/34016952
http://dx.doi.org/10.1038/s41398-021-01429-0
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