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A simulation of geographic distribution for the emergence of consequential SARS-CoV-2 variant lineages
The coronavirus disease 2019 (COVID-19) pandemic has been facilitated by the intermittent emergence of consequential variant strains. This study evaluated the geographic disproportionality in the detection of consequential variant lineages across countries. As of November 2021, a total of 40 potenti...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199467/ https://www.ncbi.nlm.nih.gov/pubmed/35705624 http://dx.doi.org/10.1038/s41598-022-14308-5 |
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author | Akaishi, Tetsuya Ishii, Tadashi |
author_facet | Akaishi, Tetsuya Ishii, Tadashi |
author_sort | Akaishi, Tetsuya |
collection | PubMed |
description | The coronavirus disease 2019 (COVID-19) pandemic has been facilitated by the intermittent emergence of consequential variant strains. This study evaluated the geographic disproportionality in the detection of consequential variant lineages across countries. As of November 2021, a total of 40 potentially consequential SARS-CoV-2 variant lineages have been identified. One-hundred repeated simulations that randomly produced consequential variants from overall COVID-19 cases worldwide were performed to evaluate the presence of geographical disproportion in the occurrence of consequential variant outbreaks. Both the total number of reported COVID-19 cases and the number of reported genome sequences in each country showed weak positive correlations with the number of detected consequential lineages in each country. The simulations suggest the presence of geographical disproportion in the occurrence of consequential variant outbreaks. Based on the random occurrence of consequential variants among COVID-19 cases, identified consequential variants occurred more often than expected in the United Kingdom and Africa, whereas they occurred less in other European countries and the Middle East. Simulations of the occurrence of consequential variants by assuming a random occurrence among all COVID-19 cases suggested the presence of biogeographic disproportion. Further studies enrolling unevaluated crucial biogeographical factors are needed to determine the factors underlying the suggested disproportionality. |
format | Online Article Text |
id | pubmed-9199467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91994672022-06-17 A simulation of geographic distribution for the emergence of consequential SARS-CoV-2 variant lineages Akaishi, Tetsuya Ishii, Tadashi Sci Rep Article The coronavirus disease 2019 (COVID-19) pandemic has been facilitated by the intermittent emergence of consequential variant strains. This study evaluated the geographic disproportionality in the detection of consequential variant lineages across countries. As of November 2021, a total of 40 potentially consequential SARS-CoV-2 variant lineages have been identified. One-hundred repeated simulations that randomly produced consequential variants from overall COVID-19 cases worldwide were performed to evaluate the presence of geographical disproportion in the occurrence of consequential variant outbreaks. Both the total number of reported COVID-19 cases and the number of reported genome sequences in each country showed weak positive correlations with the number of detected consequential lineages in each country. The simulations suggest the presence of geographical disproportion in the occurrence of consequential variant outbreaks. Based on the random occurrence of consequential variants among COVID-19 cases, identified consequential variants occurred more often than expected in the United Kingdom and Africa, whereas they occurred less in other European countries and the Middle East. Simulations of the occurrence of consequential variants by assuming a random occurrence among all COVID-19 cases suggested the presence of biogeographic disproportion. Further studies enrolling unevaluated crucial biogeographical factors are needed to determine the factors underlying the suggested disproportionality. Nature Publishing Group UK 2022-06-15 /pmc/articles/PMC9199467/ /pubmed/35705624 http://dx.doi.org/10.1038/s41598-022-14308-5 Text en © The Author(s) 2022 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 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 | Article Akaishi, Tetsuya Ishii, Tadashi A simulation of geographic distribution for the emergence of consequential SARS-CoV-2 variant lineages |
title | A simulation of geographic distribution for the emergence of consequential SARS-CoV-2 variant lineages |
title_full | A simulation of geographic distribution for the emergence of consequential SARS-CoV-2 variant lineages |
title_fullStr | A simulation of geographic distribution for the emergence of consequential SARS-CoV-2 variant lineages |
title_full_unstemmed | A simulation of geographic distribution for the emergence of consequential SARS-CoV-2 variant lineages |
title_short | A simulation of geographic distribution for the emergence of consequential SARS-CoV-2 variant lineages |
title_sort | simulation of geographic distribution for the emergence of consequential sars-cov-2 variant lineages |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199467/ https://www.ncbi.nlm.nih.gov/pubmed/35705624 http://dx.doi.org/10.1038/s41598-022-14308-5 |
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