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Gompertz model in COVID-19 spreading simulation
The paper reports on application of the Gompertz model to describe the growth dynamics of COVID-19 cases during the first wave of the pandemic in different countries. Modeling has been performed for 23 countries: Australia, Austria, Belgium, Brazil, Great Britain, Germany, Denmark, Ireland, Spain, I...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642157/ https://www.ncbi.nlm.nih.gov/pubmed/34898863 http://dx.doi.org/10.1016/j.chaos.2021.111699 |
_version_ | 1784609631779160064 |
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author | Pelinovsky, E. Kokoulina, M. Epifanova, A. Kurkin, A. Kurkina, O. Tang, M. Macau, E. Kirillin, M. |
author_facet | Pelinovsky, E. Kokoulina, M. Epifanova, A. Kurkin, A. Kurkina, O. Tang, M. Macau, E. Kirillin, M. |
author_sort | Pelinovsky, E. |
collection | PubMed |
description | The paper reports on application of the Gompertz model to describe the growth dynamics of COVID-19 cases during the first wave of the pandemic in different countries. Modeling has been performed for 23 countries: Australia, Austria, Belgium, Brazil, Great Britain, Germany, Denmark, Ireland, Spain, Italy, Canada, China, the Netherlands, Norway, Serbia, Turkey, France, Czech Republic, Switzerland, South Korea, USA, Mexico, and Japan. The model parameters are determined by regression analysis based on official World Health Organization data available for these countries. The comparison of the predictions given by the Gompertz model and the simple logistic model (i.e., Verhulst model) is performed allowing to conclude on the higher accuracy of the Gompertz model. |
format | Online Article Text |
id | pubmed-8642157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86421572021-12-06 Gompertz model in COVID-19 spreading simulation Pelinovsky, E. Kokoulina, M. Epifanova, A. Kurkin, A. Kurkina, O. Tang, M. Macau, E. Kirillin, M. Chaos Solitons Fractals Article The paper reports on application of the Gompertz model to describe the growth dynamics of COVID-19 cases during the first wave of the pandemic in different countries. Modeling has been performed for 23 countries: Australia, Austria, Belgium, Brazil, Great Britain, Germany, Denmark, Ireland, Spain, Italy, Canada, China, the Netherlands, Norway, Serbia, Turkey, France, Czech Republic, Switzerland, South Korea, USA, Mexico, and Japan. The model parameters are determined by regression analysis based on official World Health Organization data available for these countries. The comparison of the predictions given by the Gompertz model and the simple logistic model (i.e., Verhulst model) is performed allowing to conclude on the higher accuracy of the Gompertz model. Elsevier Ltd. 2022-01 2021-12-04 /pmc/articles/PMC8642157/ /pubmed/34898863 http://dx.doi.org/10.1016/j.chaos.2021.111699 Text en © 2021 Elsevier Ltd. 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 Pelinovsky, E. Kokoulina, M. Epifanova, A. Kurkin, A. Kurkina, O. Tang, M. Macau, E. Kirillin, M. Gompertz model in COVID-19 spreading simulation |
title | Gompertz model in COVID-19 spreading simulation |
title_full | Gompertz model in COVID-19 spreading simulation |
title_fullStr | Gompertz model in COVID-19 spreading simulation |
title_full_unstemmed | Gompertz model in COVID-19 spreading simulation |
title_short | Gompertz model in COVID-19 spreading simulation |
title_sort | gompertz model in covid-19 spreading simulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642157/ https://www.ncbi.nlm.nih.gov/pubmed/34898863 http://dx.doi.org/10.1016/j.chaos.2021.111699 |
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