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Systematic description of COVID-19 pandemic using exact SIR solutions and Gumbel distributions
An epidemiological study is carried out in several countries analyzing the first wave of the COVID-19 pandemic using the SIR model and Gumbel distribution. The equations of the SIR model are solved exactly using the proper time as a parameter. The physical time is obtained by integration of the inve...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519410/ https://www.ncbi.nlm.nih.gov/pubmed/36193120 http://dx.doi.org/10.1007/s11071-022-07907-4 |
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author | Amaro, J. E. |
author_facet | Amaro, J. E. |
author_sort | Amaro, J. E. |
collection | PubMed |
description | An epidemiological study is carried out in several countries analyzing the first wave of the COVID-19 pandemic using the SIR model and Gumbel distribution. The equations of the SIR model are solved exactly using the proper time as a parameter. The physical time is obtained by integration of the inverse of the infected function over proper time. Some properties of the solutions of the SIR model are studied such as time scaling and the asymmetry, which allows to obtain the basic reproduction number from the data. Approximations to the solutions of the SIR model are studied using Gumbel distributions by least squares fit or by adjusting the maximum of the infected function. Finally, the parameters of the SIR model and the Gumbel function are extracted from the death data and compared for the different countries. It is found that ten of the selected countries are very well described by the solutions of the SIR model, with a basic reproduction number between 3 and 8. |
format | Online Article Text |
id | pubmed-9519410 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-95194102022-09-29 Systematic description of COVID-19 pandemic using exact SIR solutions and Gumbel distributions Amaro, J. E. Nonlinear Dyn Original Paper An epidemiological study is carried out in several countries analyzing the first wave of the COVID-19 pandemic using the SIR model and Gumbel distribution. The equations of the SIR model are solved exactly using the proper time as a parameter. The physical time is obtained by integration of the inverse of the infected function over proper time. Some properties of the solutions of the SIR model are studied such as time scaling and the asymmetry, which allows to obtain the basic reproduction number from the data. Approximations to the solutions of the SIR model are studied using Gumbel distributions by least squares fit or by adjusting the maximum of the infected function. Finally, the parameters of the SIR model and the Gumbel function are extracted from the death data and compared for the different countries. It is found that ten of the selected countries are very well described by the solutions of the SIR model, with a basic reproduction number between 3 and 8. Springer Netherlands 2022-09-29 2023 /pmc/articles/PMC9519410/ /pubmed/36193120 http://dx.doi.org/10.1007/s11071-022-07907-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Amaro, J. E. Systematic description of COVID-19 pandemic using exact SIR solutions and Gumbel distributions |
title | Systematic description of COVID-19 pandemic using exact SIR solutions and Gumbel distributions |
title_full | Systematic description of COVID-19 pandemic using exact SIR solutions and Gumbel distributions |
title_fullStr | Systematic description of COVID-19 pandemic using exact SIR solutions and Gumbel distributions |
title_full_unstemmed | Systematic description of COVID-19 pandemic using exact SIR solutions and Gumbel distributions |
title_short | Systematic description of COVID-19 pandemic using exact SIR solutions and Gumbel distributions |
title_sort | systematic description of covid-19 pandemic using exact sir solutions and gumbel distributions |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519410/ https://www.ncbi.nlm.nih.gov/pubmed/36193120 http://dx.doi.org/10.1007/s11071-022-07907-4 |
work_keys_str_mv | AT amaroje systematicdescriptionofcovid19pandemicusingexactsirsolutionsandgumbeldistributions |