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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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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. |
format | Online Article Text |
id | pubmed-8134815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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