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朱曦, 孔翔羽, 章青, 李静欣, 李慧莹, 靳淼, 段招军. 2016－2019年我国诺如病毒暴发疫情的分子流行病学特征分析[J]. 疾病监测, 2021, 36(8): 774-779. DOI: 10.3784/jbjc.202106240363
引用本文: 朱曦, 孔翔羽, 章青, 李静欣, 李慧莹, 靳淼, 段招军. 2016－2019年我国诺如病毒暴发疫情的分子流行病学特征分析[J]. 疾病监测, 2021, 36(8): 774-779. DOI: 10.3784/jbjc.202106240363
shu
Zhu Xi, Kong Xiangyu, Zhang Qing, Li Jingxin, Li Huiying, Jin Miao, Duan Zhaojun. Molecular epidemiological characteristics of norovirus outbreaks reported to Chinese norovirus outbreak laboratory surveillance network, 2016–2019[J]. Disease Surveillance, 2021, 36(8): 774-779. DOI: 10.3784/jbjc.202106240363
Citation: Zhu Xi, Kong Xiangyu, Zhang Qing, Li Jingxin, Li Huiying, Jin Miao, Duan Zhaojun. Molecular epidemiological characteristics of norovirus outbreaks reported to Chinese norovirus outbreak laboratory surveillance network, 2016–2019[J]. Disease Surveillance, 2021, 36(8): 774-779. DOI: 10.3784/jbjc.202106240363
shu

2016－2019年我国诺如病毒暴发疫情的分子流行病学特征分析

Molecular epidemiological characteristics of norovirus outbreaks reported to Chinese norovirus outbreak laboratory surveillance network, 2016–2019

    摘要
  • 摘要:
      目的  了解中国诺如病毒监测网络（CaliciNet China）的发展及2016 — 2019年中国诺如病毒分子流行特征。
      方法   收集2016年10月至2019年9月诺如病毒暴发流行病学和病例临床信息及标本，应用荧光反转录聚合酶链式反应（real-time, RT-PCR）进行诺如病毒检测，阳性样本通过RT-PCR扩增、测序，将数据录入CaliciNet China数据库并进行基因分型。
      结果  2016年10月至2019年9月，共报告诺如病毒疫情1 153起，对其中776起疫情（67.3%）的阳性样本进行了基因分型。 94.9%的暴发疫情与人–人传播有关，发生在托幼机构或学校（94.4%），每年11月至次年3月为诺如病毒暴发的流行高峰（65.0%）。 57.6%的诺如病毒暴发由GⅡ.2［P16］引起。
      结论  GⅡ.2［P16］是 2016年10月至2019年9月引起我国诺如病毒暴发的主要基因型，主要发生在托幼机构或或学校，CaliciNet China正在进行的监测提供了有关毒株基因分型和暴发特征的信息。

     

    Abstract:
      Objective  To understand the development of Chinese norovirus outbreak surveillance network (CaliciNet China) and the molecular epidemiological characteristics of norovirus outbreak reported to CaliciNet China from 2016 to 2019.
      Methods  The epidemiological and clinical information of norovirus outbreaks in China from October 2016 to September 2019 were collected by the network laboratories of CaliciNet China. Real-time RT-PCR was used to detect norovirus. The positive samples were amplified by genotyping RT-PCR and sequenced. The data were entered into the CaliciNet China database for analysis.
      Results  From October 2016 to September 2019, a total of 1153 norovirus outbreaks were reported, and the positive samples of 776 outbreaks (67.3%) were genotyped. Most of these outbreaks (94.9%) were related to human-to-human transmission and occurred in child care settings or schools (94.4%). Norovirus outbreaks mainly occurred from November to March every year (65.0%). During the three-year study period, 57.6% of the outbreaks were caused by norovirus GⅡ.2［P16］.
      Conclusion  GⅡ.2［P16］ was the main genotype of norovirus causing outbreaks, mainly in child care settings or schools, in China from October 2016 to September 2019. The ongoing surveillance by CaliciNet China provides information on the genotypes of norovirus strains and molecular characteristics of norovirus outbreaks, which is very important for development of effective intervention measures (including vaccination) for norovirus outbreaks

     

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