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Epidemiology and Genetic Analysis of SARS-CoV-2 in Myanmar during the Community Outbreaks in 2020
We aimed to analyze the situation of the first two epidemic waves in Myanmar using the publicly available daily situation of COVID-19 and whole-genome sequencing data of SARS-CoV-2. From March 23 to December 31, 2020, there were 33,917 confirmed cases and 741 deaths in Myanmar (case fatality rate of...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875553/ https://www.ncbi.nlm.nih.gov/pubmed/35215852 http://dx.doi.org/10.3390/v14020259 |
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author | Phyu, Wint Wint Saito, Reiko Wagatsuma, Keita Abe, Takashi Tin, Htay Htay Pe, Eh Htoo Win, Su Mon Kyaw Win, Nay Chi Di Ja, Lasham Tsuyoshi, Sekizuka Makoto, Kuroda Kyaw, Yadanar Chon, Irina Watanabe, Shinji Hasegawa, Hideki Watanabe, Hisami |
author_facet | Phyu, Wint Wint Saito, Reiko Wagatsuma, Keita Abe, Takashi Tin, Htay Htay Pe, Eh Htoo Win, Su Mon Kyaw Win, Nay Chi Di Ja, Lasham Tsuyoshi, Sekizuka Makoto, Kuroda Kyaw, Yadanar Chon, Irina Watanabe, Shinji Hasegawa, Hideki Watanabe, Hisami |
author_sort | Phyu, Wint Wint |
collection | PubMed |
description | We aimed to analyze the situation of the first two epidemic waves in Myanmar using the publicly available daily situation of COVID-19 and whole-genome sequencing data of SARS-CoV-2. From March 23 to December 31, 2020, there were 33,917 confirmed cases and 741 deaths in Myanmar (case fatality rate of 2.18%). The first wave in Myanmar from March to July was linked to overseas travel, and then a second wave started from Rakhine State, a western border state, leading to the second wave spreading countrywide in Myanmar from August to December 2020. The estimated effective reproductive number (R(t)) nationwide reached 6–8 at the beginning of each wave and gradually decreased as the epidemic spread to the community. The whole-genome analysis of 10 Myanmar SARS-CoV-2 strains together with 31 previously registered strains showed that the first wave was caused by GISAID clade O or PANGOLIN lineage B.6 and the second wave was changed to clade GH or lineage B.1.36.16 with a close genetic relationship with other South Asian strains. Constant monitoring of epidemiological situations combined with SARS-CoV-2 genome analysis is important for adjusting public health measures to mitigate the community transmissions of COVID-19. |
format | Online Article Text |
id | pubmed-8875553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88755532022-02-26 Epidemiology and Genetic Analysis of SARS-CoV-2 in Myanmar during the Community Outbreaks in 2020 Phyu, Wint Wint Saito, Reiko Wagatsuma, Keita Abe, Takashi Tin, Htay Htay Pe, Eh Htoo Win, Su Mon Kyaw Win, Nay Chi Di Ja, Lasham Tsuyoshi, Sekizuka Makoto, Kuroda Kyaw, Yadanar Chon, Irina Watanabe, Shinji Hasegawa, Hideki Watanabe, Hisami Viruses Article We aimed to analyze the situation of the first two epidemic waves in Myanmar using the publicly available daily situation of COVID-19 and whole-genome sequencing data of SARS-CoV-2. From March 23 to December 31, 2020, there were 33,917 confirmed cases and 741 deaths in Myanmar (case fatality rate of 2.18%). The first wave in Myanmar from March to July was linked to overseas travel, and then a second wave started from Rakhine State, a western border state, leading to the second wave spreading countrywide in Myanmar from August to December 2020. The estimated effective reproductive number (R(t)) nationwide reached 6–8 at the beginning of each wave and gradually decreased as the epidemic spread to the community. The whole-genome analysis of 10 Myanmar SARS-CoV-2 strains together with 31 previously registered strains showed that the first wave was caused by GISAID clade O or PANGOLIN lineage B.6 and the second wave was changed to clade GH or lineage B.1.36.16 with a close genetic relationship with other South Asian strains. Constant monitoring of epidemiological situations combined with SARS-CoV-2 genome analysis is important for adjusting public health measures to mitigate the community transmissions of COVID-19. MDPI 2022-01-27 /pmc/articles/PMC8875553/ /pubmed/35215852 http://dx.doi.org/10.3390/v14020259 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Phyu, Wint Wint Saito, Reiko Wagatsuma, Keita Abe, Takashi Tin, Htay Htay Pe, Eh Htoo Win, Su Mon Kyaw Win, Nay Chi Di Ja, Lasham Tsuyoshi, Sekizuka Makoto, Kuroda Kyaw, Yadanar Chon, Irina Watanabe, Shinji Hasegawa, Hideki Watanabe, Hisami Epidemiology and Genetic Analysis of SARS-CoV-2 in Myanmar during the Community Outbreaks in 2020 |
title | Epidemiology and Genetic Analysis of SARS-CoV-2 in Myanmar during the Community Outbreaks in 2020 |
title_full | Epidemiology and Genetic Analysis of SARS-CoV-2 in Myanmar during the Community Outbreaks in 2020 |
title_fullStr | Epidemiology and Genetic Analysis of SARS-CoV-2 in Myanmar during the Community Outbreaks in 2020 |
title_full_unstemmed | Epidemiology and Genetic Analysis of SARS-CoV-2 in Myanmar during the Community Outbreaks in 2020 |
title_short | Epidemiology and Genetic Analysis of SARS-CoV-2 in Myanmar during the Community Outbreaks in 2020 |
title_sort | epidemiology and genetic analysis of sars-cov-2 in myanmar during the community outbreaks in 2020 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875553/ https://www.ncbi.nlm.nih.gov/pubmed/35215852 http://dx.doi.org/10.3390/v14020259 |
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