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...

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Main Authors: Liang Cao, Ziping Yu, Haiqiang He, Xiaofang Guo, Chun Wei, Xuancheng Zhang, Junduo Bao, Chenghui Li, Hongning Zhou, Jialiang Xin, Fulong Nan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Veterinary Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fvets.2023.1137392/full
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author Liang Cao
Ziping Yu
Haiqiang He
Xiaofang Guo
Chun Wei
Xuancheng Zhang
Junduo Bao
Chenghui Li
Hongning Zhou
Jialiang Xin
Fulong Nan
author_facet Liang Cao
Ziping Yu
Haiqiang He
Xiaofang Guo
Chun Wei
Xuancheng Zhang
Junduo Bao
Chenghui Li
Hongning Zhou
Jialiang Xin
Fulong Nan
author_sort Liang Cao
collection DOAJ
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.
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spelling doaj.art-ddd39b31d561402eb38059ea0d5cdec12023-04-12T13:34:03ZengFrontiers Media S.A.Frontiers in Veterinary Science2297-17692023-04-011010.3389/fvets.2023.11373921137392Retrospective investigation of the origin and epidemiology of the dengue outbreak in Yunnan, China from 2017 to 2018Liang Cao0Ziping Yu1Haiqiang He2Xiaofang Guo3Chun Wei4Xuancheng Zhang5Junduo Bao6Chenghui Li7Hongning Zhou8Jialiang Xin9Fulong Nan10College of Laboratory, Jilin Medical University, Jilin, ChinaInstitute of Virology, Wenzhou University, Wenzhou, ChinaCollege of Veterinary Medicine, Jilin University, Changchun, ChinaYunnan Institute of Parasitic Diseases, Pu'er, Yunnan, ChinaYunnan Institute of Parasitic Diseases, Pu'er, Yunnan, ChinaCollege of Veterinary Medicine, Jilin University, Changchun, ChinaCollage of Agriculture, Yanbian University, Yanbian, ChinaCollage of Agriculture, Yanbian University, Yanbian, ChinaYunnan Institute of Parasitic Diseases, Pu'er, Yunnan, ChinaCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, ChinaDepartment of Special Medicine, School of Basic Medicine, Qingdao University, Qingdao, ChinaSince 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.https://www.frontiersin.org/articles/10.3389/fvets.2023.1137392/fulldengue virusepidemiologyphylogenetic analysisYunnan2017–2018
spellingShingle Liang Cao
Ziping Yu
Haiqiang He
Xiaofang Guo
Chun Wei
Xuancheng Zhang
Junduo Bao
Chenghui Li
Hongning Zhou
Jialiang Xin
Fulong Nan
Retrospective investigation of the origin and epidemiology of the dengue outbreak in Yunnan, China from 2017 to 2018
Frontiers in Veterinary Science
dengue virus
epidemiology
phylogenetic analysis
Yunnan
2017–2018
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 dengue virus
epidemiology
phylogenetic analysis
Yunnan
2017–2018
url https://www.frontiersin.org/articles/10.3389/fvets.2023.1137392/full
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