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Temporal lineage replacements and dominance of imported variants of concern during the COVID-19 pandemic in Kenya
BACKGROUND: Kenya’s COVID-19 epidemic was seeded early in March 2020 and did not peak until early August 2020 (wave 1), late-November 2020 (wave 2), mid-April 2021 (wave 3), late August 2021 (wave 4), and mid-January 2022 (wave 5). METHODS: Here, we present SARS-CoV-2 lineages associated with the fi...
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/PMC9382597/ https://www.ncbi.nlm.nih.gov/pubmed/35982756 http://dx.doi.org/10.1038/s43856-022-00167-8 |
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author | Kimita, Gathii Nyataya, Josphat Omuseni, Esther Sigei, Faith Lemtudo, Alan Muthanje, Eric Andika, Brian Liyai, Rehema Githii, Rachel Masakwe, Clement Ochola, Stephen Awinda, George Kifude, Carol Mutai, Beth Gatata, Robert M. Waitumbi, John |
author_facet | Kimita, Gathii Nyataya, Josphat Omuseni, Esther Sigei, Faith Lemtudo, Alan Muthanje, Eric Andika, Brian Liyai, Rehema Githii, Rachel Masakwe, Clement Ochola, Stephen Awinda, George Kifude, Carol Mutai, Beth Gatata, Robert M. Waitumbi, John |
author_sort | Kimita, Gathii |
collection | PubMed |
description | BACKGROUND: Kenya’s COVID-19 epidemic was seeded early in March 2020 and did not peak until early August 2020 (wave 1), late-November 2020 (wave 2), mid-April 2021 (wave 3), late August 2021 (wave 4), and mid-January 2022 (wave 5). METHODS: Here, we present SARS-CoV-2 lineages associated with the five waves through analysis of 1034 genomes, which included 237 non-variants of concern and 797 variants of concern (VOC) that had increased transmissibility, disease severity or vaccine resistance. RESULTS: In total 40 lineages were identified. The early European lineages (B.1 and B.1.1) were the first to be seeded. The B.1 lineage continued to expand and remained dominant, accounting for 60% (72/120) and 57% (45/79) in waves 1 and 2 respectively. Waves three, four and five respectively were dominated by VOCs that were distributed as follows: Alpha 58.5% (166/285), Delta 92.4% (327/354), Omicron 95.4% (188/197) and Beta at 4.2% (12/284) during wave 3 and 0.3% (1/354) during wave 4. Phylogenetic analysis suggests multiple introductions of variants from outside Kenya, more so during the first, third, fourth and fifth waves, as well as subsequent lineage diversification. CONCLUSIONS: The data highlights the importance of genome surveillance in determining circulating variants to aid interpretation of phenotypes such as transmissibility, virulence and/or resistance to therapeutics/vaccines. |
format | Online Article Text |
id | pubmed-9382597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93825972022-08-17 Temporal lineage replacements and dominance of imported variants of concern during the COVID-19 pandemic in Kenya Kimita, Gathii Nyataya, Josphat Omuseni, Esther Sigei, Faith Lemtudo, Alan Muthanje, Eric Andika, Brian Liyai, Rehema Githii, Rachel Masakwe, Clement Ochola, Stephen Awinda, George Kifude, Carol Mutai, Beth Gatata, Robert M. Waitumbi, John Commun Med (Lond) Article BACKGROUND: Kenya’s COVID-19 epidemic was seeded early in March 2020 and did not peak until early August 2020 (wave 1), late-November 2020 (wave 2), mid-April 2021 (wave 3), late August 2021 (wave 4), and mid-January 2022 (wave 5). METHODS: Here, we present SARS-CoV-2 lineages associated with the five waves through analysis of 1034 genomes, which included 237 non-variants of concern and 797 variants of concern (VOC) that had increased transmissibility, disease severity or vaccine resistance. RESULTS: In total 40 lineages were identified. The early European lineages (B.1 and B.1.1) were the first to be seeded. The B.1 lineage continued to expand and remained dominant, accounting for 60% (72/120) and 57% (45/79) in waves 1 and 2 respectively. Waves three, four and five respectively were dominated by VOCs that were distributed as follows: Alpha 58.5% (166/285), Delta 92.4% (327/354), Omicron 95.4% (188/197) and Beta at 4.2% (12/284) during wave 3 and 0.3% (1/354) during wave 4. Phylogenetic analysis suggests multiple introductions of variants from outside Kenya, more so during the first, third, fourth and fifth waves, as well as subsequent lineage diversification. CONCLUSIONS: The data highlights the importance of genome surveillance in determining circulating variants to aid interpretation of phenotypes such as transmissibility, virulence and/or resistance to therapeutics/vaccines. Nature Publishing Group UK 2022-08-17 /pmc/articles/PMC9382597/ /pubmed/35982756 http://dx.doi.org/10.1038/s43856-022-00167-8 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kimita, Gathii Nyataya, Josphat Omuseni, Esther Sigei, Faith Lemtudo, Alan Muthanje, Eric Andika, Brian Liyai, Rehema Githii, Rachel Masakwe, Clement Ochola, Stephen Awinda, George Kifude, Carol Mutai, Beth Gatata, Robert M. Waitumbi, John Temporal lineage replacements and dominance of imported variants of concern during the COVID-19 pandemic in Kenya |
title | Temporal lineage replacements and dominance of imported variants of concern during the COVID-19 pandemic in Kenya |
title_full | Temporal lineage replacements and dominance of imported variants of concern during the COVID-19 pandemic in Kenya |
title_fullStr | Temporal lineage replacements and dominance of imported variants of concern during the COVID-19 pandemic in Kenya |
title_full_unstemmed | Temporal lineage replacements and dominance of imported variants of concern during the COVID-19 pandemic in Kenya |
title_short | Temporal lineage replacements and dominance of imported variants of concern during the COVID-19 pandemic in Kenya |
title_sort | temporal lineage replacements and dominance of imported variants of concern during the covid-19 pandemic in kenya |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382597/ https://www.ncbi.nlm.nih.gov/pubmed/35982756 http://dx.doi.org/10.1038/s43856-022-00167-8 |
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