中国广州 2010 年至 2019 年登革热病例的流行病学和基因组分析。
Epidemiological and genomic analysis of dengue cases in Guangzhou, China, from 2010 to 2019.
机构信息
AIDS Control and Prevention Department, Guangzhou Centre for Disease Control and Prevention, Baiyunqu Qidelu 1, Guangdong, China.
Centre for Disease Control and Prevention of Liwan District of Guangzhou, Liwan Zhoumenxijie 32, Guangdong, China.
出版信息
Sci Rep. 2023 Feb 7;13(1):2161. doi: 10.1038/s41598-023-28453-y.
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.
广州是中国登革热防控的重点城市,具有较长的流行历史和大量的登革热病例。本研究调查了 2010 年至 2019 年期间登革热病例的人口统计学信息、登革病毒包膜基因的基因组特征,以及这些因素之间的关联,以提高对广州登革热流行病学的认识。采用 IBM SPSS Statistics v. 20 对上报法定传染病报告系统的 44385 例登革热病例的人口统计学数据进行分析。从患者血清中分离出登革病毒分离株,使用 PhyML 3.1 构建系统发育树。男性和女性登革热感染风险无统计学差异。与其他登革热流行地区不同,广州的感染风险随年龄增长而增加。监测确定了广州登革热感染的四个血清型。血清型 1 在研究期间大部分时间内仍然流行,而血清型 3 和 4 分别在 2012 年和 2010 年流行。不同的血清型发生了基因型和亚系转变。广州登革热的流行病学特征和系统发育提示,尽管它在广州流行了几十年,但尚未在广州流行。同时,登革热在广州的流行可能是由基因型而非血清型的转变引起的。