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Geographical prevalence of SARS-CoV-2 variants, August 2020 to July 2021
We extracted one-year genomic data (August 2020–July 2021) from GISAID EpiCoV™ database and estimated monthly proportions of 11 SARS-CoV-2 variants in various geographical regions. From continental perspective, Delta VOC predominated in Africa, Asia, Europe, North America and Oceania, with proportio...
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/PMC8931783/ https://www.ncbi.nlm.nih.gov/pubmed/35304553 http://dx.doi.org/10.1038/s41598-022-08684-1 |
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author | Chan, Wai Sing Lam, Yuk Man Law, Janet Hei Yin Chan, Tsun Leung Ma, Edmond Shiu Kwan Tang, Bone Siu Fai |
author_facet | Chan, Wai Sing Lam, Yuk Man Law, Janet Hei Yin Chan, Tsun Leung Ma, Edmond Shiu Kwan Tang, Bone Siu Fai |
author_sort | Chan, Wai Sing |
collection | PubMed |
description | We extracted one-year genomic data (August 2020–July 2021) from GISAID EpiCoV™ database and estimated monthly proportions of 11 SARS-CoV-2 variants in various geographical regions. From continental perspective, Delta VOC predominated in Africa, Asia, Europe, North America and Oceania, with proportions of 67.58–98.31% in July 2021. In South America, proportion of Delta VOC (23.24%) has been approaching the predominant yet diminishing Gamma VOC (56.86%). We further analyzed monthly data on new COVID-19 cases, new deaths, vaccination status and variant proportions of 6 countries. Delta VOC predominated in all countries except Brazil (Gamma VOC) in July 2021. In most occasions, rise and predominance of Alpha, Beta, Gamma, Delta and Zeta variants were accompanied with surges of new cases, especially after the time point of major lineage interchange. The ascending phases of new cases lasted for 1–5 months with 1.69- to 40.63-fold peak growth, whereas new death tolls varied with regional vaccination status. Our data suggested surges of COVID-19 cases might be predicted from variant surveillance data. Despite vaccine breakthroughs by Delta VOC, death tolls were more stable in countries with better immunization coverage. Another takeaway is the urgent need to improve vaccine efficacy against Delta and emerging variants. |
format | Online Article Text |
id | pubmed-8931783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89317832022-03-18 Geographical prevalence of SARS-CoV-2 variants, August 2020 to July 2021 Chan, Wai Sing Lam, Yuk Man Law, Janet Hei Yin Chan, Tsun Leung Ma, Edmond Shiu Kwan Tang, Bone Siu Fai Sci Rep Article We extracted one-year genomic data (August 2020–July 2021) from GISAID EpiCoV™ database and estimated monthly proportions of 11 SARS-CoV-2 variants in various geographical regions. From continental perspective, Delta VOC predominated in Africa, Asia, Europe, North America and Oceania, with proportions of 67.58–98.31% in July 2021. In South America, proportion of Delta VOC (23.24%) has been approaching the predominant yet diminishing Gamma VOC (56.86%). We further analyzed monthly data on new COVID-19 cases, new deaths, vaccination status and variant proportions of 6 countries. Delta VOC predominated in all countries except Brazil (Gamma VOC) in July 2021. In most occasions, rise and predominance of Alpha, Beta, Gamma, Delta and Zeta variants were accompanied with surges of new cases, especially after the time point of major lineage interchange. The ascending phases of new cases lasted for 1–5 months with 1.69- to 40.63-fold peak growth, whereas new death tolls varied with regional vaccination status. Our data suggested surges of COVID-19 cases might be predicted from variant surveillance data. Despite vaccine breakthroughs by Delta VOC, death tolls were more stable in countries with better immunization coverage. Another takeaway is the urgent need to improve vaccine efficacy against Delta and emerging variants. Nature Publishing Group UK 2022-03-18 /pmc/articles/PMC8931783/ /pubmed/35304553 http://dx.doi.org/10.1038/s41598-022-08684-1 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 Chan, Wai Sing Lam, Yuk Man Law, Janet Hei Yin Chan, Tsun Leung Ma, Edmond Shiu Kwan Tang, Bone Siu Fai Geographical prevalence of SARS-CoV-2 variants, August 2020 to July 2021 |
title | Geographical prevalence of SARS-CoV-2 variants, August 2020 to July 2021 |
title_full | Geographical prevalence of SARS-CoV-2 variants, August 2020 to July 2021 |
title_fullStr | Geographical prevalence of SARS-CoV-2 variants, August 2020 to July 2021 |
title_full_unstemmed | Geographical prevalence of SARS-CoV-2 variants, August 2020 to July 2021 |
title_short | Geographical prevalence of SARS-CoV-2 variants, August 2020 to July 2021 |
title_sort | geographical prevalence of sars-cov-2 variants, august 2020 to july 2021 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931783/ https://www.ncbi.nlm.nih.gov/pubmed/35304553 http://dx.doi.org/10.1038/s41598-022-08684-1 |
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