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Epidemiological and genomic analysis of dengue cases in Guangzhou, China, from 2010 to 2019

With a long epidemic history and a large number of dengue cases, Guangzhou is a key city for controlling dengue in China. The demographic information regarding dengue cases, and the genomic characteristics of the envelope gene of dengue viruses, as well as the associations between these factors were...

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Autores principales: Jiang, Liyun, Liu, Yuan, Su, Wenzhe, Liu, Wenhui, Dong, Zhiqiang, Long, Yuxiang, Luo, Lei, Jing, Qinlong, Cao, Yimin, Wu, Xinwei, Di, Biao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905598/
https://www.ncbi.nlm.nih.gov/pubmed/36750601
http://dx.doi.org/10.1038/s41598-023-28453-y
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author Jiang, Liyun
Liu, Yuan
Su, Wenzhe
Liu, Wenhui
Dong, Zhiqiang
Long, Yuxiang
Luo, Lei
Jing, Qinlong
Cao, Yimin
Wu, Xinwei
Di, Biao
author_facet Jiang, Liyun
Liu, Yuan
Su, Wenzhe
Liu, Wenhui
Dong, Zhiqiang
Long, Yuxiang
Luo, Lei
Jing, Qinlong
Cao, Yimin
Wu, Xinwei
Di, Biao
author_sort Jiang, Liyun
collection PubMed
description With a long epidemic history and a large number of dengue cases, Guangzhou is a key city for controlling dengue in China. The demographic information regarding dengue cases, and the genomic characteristics of the envelope gene of dengue viruses, as well as the associations between these factors were investigated from 2010 to 2019, to improve the understanding of the epidemiology of dengue in Guangzhou. Demographic data on 44,385 dengue cases reported to the Notifiable Infectious Disease Report System were analyzed using IBM SPSS Statistics v. 20. Dengue virus isolates from patient sera were sequenced, and phylogenetic trees were constructed using PhyML 3.1. There was no statistical difference in the risk of dengue infection between males and females. Unlike other areas in which dengue is endemic, the infection risk in Guangzhou increased with age. Surveillance identified four serotypes responsible for dengue infections in Guangzhou. Serotype 1 remained prevalent for most of the study period, whereas serotypes 3 and 4 were prevalent in 2012 and 2010, respectively. Different serotypes underwent genotype and sublineage shifts. The epidemiological characteristics and phylogeny of dengue in Guangzhou suggested that although it has circulated in Guangzhou for decades, it has not been endemic in Guangzhou. Meanwhile, shifts in genotypes, rather than in serotypes, might have caused dengue epidemics in Guangzhou.
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spelling pubmed-99055982023-02-08 Epidemiological and genomic analysis of dengue cases in Guangzhou, China, from 2010 to 2019 Jiang, Liyun Liu, Yuan Su, Wenzhe Liu, Wenhui Dong, Zhiqiang Long, Yuxiang Luo, Lei Jing, Qinlong Cao, Yimin Wu, Xinwei Di, Biao Sci Rep Article With a long epidemic history and a large number of dengue cases, Guangzhou is a key city for controlling dengue in China. The demographic information regarding dengue cases, and the genomic characteristics of the envelope gene of dengue viruses, as well as the associations between these factors were investigated from 2010 to 2019, to improve the understanding of the epidemiology of dengue in Guangzhou. Demographic data on 44,385 dengue cases reported to the Notifiable Infectious Disease Report System were analyzed using IBM SPSS Statistics v. 20. Dengue virus isolates from patient sera were sequenced, and phylogenetic trees were constructed using PhyML 3.1. There was no statistical difference in the risk of dengue infection between males and females. Unlike other areas in which dengue is endemic, the infection risk in Guangzhou increased with age. Surveillance identified four serotypes responsible for dengue infections in Guangzhou. Serotype 1 remained prevalent for most of the study period, whereas serotypes 3 and 4 were prevalent in 2012 and 2010, respectively. Different serotypes underwent genotype and sublineage shifts. The epidemiological characteristics and phylogeny of dengue in Guangzhou suggested that although it has circulated in Guangzhou for decades, it has not been endemic in Guangzhou. Meanwhile, shifts in genotypes, rather than in serotypes, might have caused dengue epidemics in Guangzhou. Nature Publishing Group UK 2023-02-07 /pmc/articles/PMC9905598/ /pubmed/36750601 http://dx.doi.org/10.1038/s41598-023-28453-y Text en © The Author(s) 2023 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
Jiang, Liyun
Liu, Yuan
Su, Wenzhe
Liu, Wenhui
Dong, Zhiqiang
Long, Yuxiang
Luo, Lei
Jing, Qinlong
Cao, Yimin
Wu, Xinwei
Di, Biao
Epidemiological and genomic analysis of dengue cases in Guangzhou, China, from 2010 to 2019
title Epidemiological and genomic analysis of dengue cases in Guangzhou, China, from 2010 to 2019
title_full Epidemiological and genomic analysis of dengue cases in Guangzhou, China, from 2010 to 2019
title_fullStr Epidemiological and genomic analysis of dengue cases in Guangzhou, China, from 2010 to 2019
title_full_unstemmed Epidemiological and genomic analysis of dengue cases in Guangzhou, China, from 2010 to 2019
title_short Epidemiological and genomic analysis of dengue cases in Guangzhou, China, from 2010 to 2019
title_sort epidemiological and genomic analysis of dengue cases in guangzhou, china, from 2010 to 2019
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905598/
https://www.ncbi.nlm.nih.gov/pubmed/36750601
http://dx.doi.org/10.1038/s41598-023-28453-y
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