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On the global time evolution of the Covid-19 pandemic: Logistic modeling

In this article it is presented a multi-logistic model to describe the time evolution of the Covid-19 pandemics. The model is not intended as paragon for the accurate prediction of the future number of people infected, but instead as a useful phenomenological approach for a comprehensive understandi...

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Detalles Bibliográficos
Autores principales: Miranda, L.C.M., Devezas, Tessaleno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612819/
https://www.ncbi.nlm.nih.gov/pubmed/34853486
http://dx.doi.org/10.1016/j.techfore.2021.121387
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author Miranda, L.C.M.
Devezas, Tessaleno
author_facet Miranda, L.C.M.
Devezas, Tessaleno
author_sort Miranda, L.C.M.
collection PubMed
description In this article it is presented a multi-logistic model to describe the time evolution of the Covid-19 pandemics. The model is not intended as paragon for the accurate prediction of the future number of people infected, but instead as a useful phenomenological approach for a comprehensive understanding of the pandemic development, able to uncover some hidden aspects of its unfolding. Our results, using OWID data of total cases and daily cases of Covid-19 from March 12, 2020, up to September 27, 2021, brought to light that the pandemic has unfolded globally as a multi-step logistic, namely six logistic phases, each with its own characteristic duration and intensity. Moreover, it is demonstrated how differently the pandemics spread among different countries and continents. The methodology is tested regarding its ability of forecasting, and is demonstrated that it works well in the range of circa 30 days within a margin of less than 3% error while a given phase is still in development. The case study of Portugal demonstrates the benefit of preventive sanitary measures, as well as shows how disastrous it may be the absence of such measures due to hesitations and/or political positions. Completing the article, a qualitative analysis is presented to scrutinize the possible causes of the asymmetry observed in the diffusion of Covid-19 among the different continents and countries.
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spelling pubmed-86128192021-11-26 On the global time evolution of the Covid-19 pandemic: Logistic modeling Miranda, L.C.M. Devezas, Tessaleno Technol Forecast Soc Change Article In this article it is presented a multi-logistic model to describe the time evolution of the Covid-19 pandemics. The model is not intended as paragon for the accurate prediction of the future number of people infected, but instead as a useful phenomenological approach for a comprehensive understanding of the pandemic development, able to uncover some hidden aspects of its unfolding. Our results, using OWID data of total cases and daily cases of Covid-19 from March 12, 2020, up to September 27, 2021, brought to light that the pandemic has unfolded globally as a multi-step logistic, namely six logistic phases, each with its own characteristic duration and intensity. Moreover, it is demonstrated how differently the pandemics spread among different countries and continents. The methodology is tested regarding its ability of forecasting, and is demonstrated that it works well in the range of circa 30 days within a margin of less than 3% error while a given phase is still in development. The case study of Portugal demonstrates the benefit of preventive sanitary measures, as well as shows how disastrous it may be the absence of such measures due to hesitations and/or political positions. Completing the article, a qualitative analysis is presented to scrutinize the possible causes of the asymmetry observed in the diffusion of Covid-19 among the different continents and countries. Elsevier Inc. 2022-02 2021-11-25 /pmc/articles/PMC8612819/ /pubmed/34853486 http://dx.doi.org/10.1016/j.techfore.2021.121387 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Miranda, L.C.M.
Devezas, Tessaleno
On the global time evolution of the Covid-19 pandemic: Logistic modeling
title On the global time evolution of the Covid-19 pandemic: Logistic modeling
title_full On the global time evolution of the Covid-19 pandemic: Logistic modeling
title_fullStr On the global time evolution of the Covid-19 pandemic: Logistic modeling
title_full_unstemmed On the global time evolution of the Covid-19 pandemic: Logistic modeling
title_short On the global time evolution of the Covid-19 pandemic: Logistic modeling
title_sort on the global time evolution of the covid-19 pandemic: logistic modeling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612819/
https://www.ncbi.nlm.nih.gov/pubmed/34853486
http://dx.doi.org/10.1016/j.techfore.2021.121387
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