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Retrospective investigation of the origin and epidemiology of the dengue outbreak in Yunnan, China from 2017 to 2018
Since 2013, a dengue epidemic has broken out in Yunnan, China and neighboring countries. However, after the COVID-19 pandemic in 2019, the number of dengue cases decreased significantly. In this retrospective study, epidemiological and genetic diversity characterizations of dengue viruses (DENV) iso...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132138/ https://www.ncbi.nlm.nih.gov/pubmed/37124563 http://dx.doi.org/10.3389/fvets.2023.1137392 |
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author | Cao, Liang Yu, Ziping He, Haiqiang Guo, Xiaofang Wei, Chun Zhang, Xuancheng Bao, Junduo Li, Chenghui Zhou, Hongning Xin, Jialiang Nan, Fulong |
author_facet | Cao, Liang Yu, Ziping He, Haiqiang Guo, Xiaofang Wei, Chun Zhang, Xuancheng Bao, Junduo Li, Chenghui Zhou, Hongning Xin, Jialiang Nan, Fulong |
author_sort | Cao, Liang |
collection | PubMed |
description | Since 2013, a dengue epidemic has broken out in Yunnan, China and neighboring countries. However, after the COVID-19 pandemic in 2019, the number of dengue cases decreased significantly. In this retrospective study, epidemiological and genetic diversity characterizations of dengue viruses (DENV) isolated in Yunnan between 2017 and 2018 were performed. The results showed that the dengue outbreak in Yunnan from 2017 to 2018 was mainly caused by DENV1 (genotype I and genotype V) and DENV2 (Asia I, Asia II, and Cosmopolitan). Furthermore, correlation analysis indicated a significant positive correlation between the number of imported and local cases (correlation coefficient = 0.936). Multiple sequence alignment and phylogenetic divergence analysis revealed that the local isolates are closely related to the isolates from Myanmar and Laos. Interestingly, recombination analysis found that the DENV1 and DENV2 isolates in this study had widespread intra-serotype recombination. Taken together, the results of the epidemiological investigation imply that the dengue outbreak in Yunnan was primarily due to imported cases. This study provides a new reference for further investigations on the prevalence and molecular epidemiology of DENV in Yunnan, China. |
format | Online Article Text |
id | pubmed-10132138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101321382023-04-27 Retrospective investigation of the origin and epidemiology of the dengue outbreak in Yunnan, China from 2017 to 2018 Cao, Liang Yu, Ziping He, Haiqiang Guo, Xiaofang Wei, Chun Zhang, Xuancheng Bao, Junduo Li, Chenghui Zhou, Hongning Xin, Jialiang Nan, Fulong Front Vet Sci Veterinary Science Since 2013, a dengue epidemic has broken out in Yunnan, China and neighboring countries. However, after the COVID-19 pandemic in 2019, the number of dengue cases decreased significantly. In this retrospective study, epidemiological and genetic diversity characterizations of dengue viruses (DENV) isolated in Yunnan between 2017 and 2018 were performed. The results showed that the dengue outbreak in Yunnan from 2017 to 2018 was mainly caused by DENV1 (genotype I and genotype V) and DENV2 (Asia I, Asia II, and Cosmopolitan). Furthermore, correlation analysis indicated a significant positive correlation between the number of imported and local cases (correlation coefficient = 0.936). Multiple sequence alignment and phylogenetic divergence analysis revealed that the local isolates are closely related to the isolates from Myanmar and Laos. Interestingly, recombination analysis found that the DENV1 and DENV2 isolates in this study had widespread intra-serotype recombination. Taken together, the results of the epidemiological investigation imply that the dengue outbreak in Yunnan was primarily due to imported cases. This study provides a new reference for further investigations on the prevalence and molecular epidemiology of DENV in Yunnan, China. Frontiers Media S.A. 2023-04-03 /pmc/articles/PMC10132138/ /pubmed/37124563 http://dx.doi.org/10.3389/fvets.2023.1137392 Text en Copyright © 2023 Cao, Yu, He, Guo, Wei, Zhang, Bao, Li, Zhou, Xin and Nan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Veterinary Science Cao, Liang Yu, Ziping He, Haiqiang Guo, Xiaofang Wei, Chun Zhang, Xuancheng Bao, Junduo Li, Chenghui Zhou, Hongning Xin, Jialiang Nan, Fulong Retrospective investigation of the origin and epidemiology of the dengue outbreak in Yunnan, China from 2017 to 2018 |
title | Retrospective investigation of the origin and epidemiology of the dengue outbreak in Yunnan, China from 2017 to 2018 |
title_full | Retrospective investigation of the origin and epidemiology of the dengue outbreak in Yunnan, China from 2017 to 2018 |
title_fullStr | Retrospective investigation of the origin and epidemiology of the dengue outbreak in Yunnan, China from 2017 to 2018 |
title_full_unstemmed | Retrospective investigation of the origin and epidemiology of the dengue outbreak in Yunnan, China from 2017 to 2018 |
title_short | Retrospective investigation of the origin and epidemiology of the dengue outbreak in Yunnan, China from 2017 to 2018 |
title_sort | retrospective investigation of the origin and epidemiology of the dengue outbreak in yunnan, china from 2017 to 2018 |
topic | Veterinary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132138/ https://www.ncbi.nlm.nih.gov/pubmed/37124563 http://dx.doi.org/10.3389/fvets.2023.1137392 |
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