| 蒋力云,刘远,苏文哲,曹毅敏,刘文辉,狄飚,杨智聪.2020年广州市登革热流行状况和病毒E基因进化特征分析[J].Chinese journal of Epidemiology,2022,43(5):716-721 |
| 2020年广州市登革热流行状况和病毒E基因进化特征分析 |
| Analysis on epidemiological characteristics of dengue fever and E gene evolution of dengue virus in Guangzhou, 2020 |
| Received:September 30, 2021 |
| DOI：10.3760/cma.j.cn112338-20210930-00763 |
| KeyWord: 登革热 登革病毒 包膜基因 基因进化树 |
| English Key Word: Dengue fever Dengue virus Envelope gene Phylogenetic tree |
| FundProject:广州市科技计划(202002030117);广州市重点学科项目(2021-2023-11);广州市卫生健康科技(20191A011059) |
| Author Name | Affiliation | E-mail | | Jiang Liyun | Department of Virology and Immunology, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China | year800325@163.com | | Liu Yuan | Department of Virology and Immunology, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China | | | Su Wenzhe | Department of Virology and Immunology, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China | | | Cao Yimin | Department of Virology and Immunology, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China | | | Liu Wenhui | Department of Virology and Immunology, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China | | | Di Biao | Department of Virology and Immunology, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China | | | Yang Zhicong | Department of Virology and Immunology, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China | |
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| Abstract: |
| 目的 分析2020年广州市登革热流行状况和病毒E基因进化特征，探讨广州市登革热的流行特征和病毒传播特点。方法 通过中国疾病预防控制信息系统传染病报告信息管理系统收集登革热病例信息，采用荧光定量PCR检测血清标本并测定登革病毒E基因序列，运用MEGA 5.05软件构建最大相似度基因树，使用SPSS 20.0软件进行统计学分析。结果 2020年广州市共报告33例登革热确诊病例，其中输入病例31例（93.94%），本地病例2例（6.06%）。相比于2016-2019年，登革热确诊病例数、总发病率和本地发病率均有明显下降，差异有统计学意义（均P<0.05）。输入病例来自东南亚地区的占90.32%（28/31）。输入病例和本地病例登革病毒E基因序列及进化分析与东南亚序列亲缘关系相近，与我国广州市近年序列关系相对较远。结论 2020年我国广州市登革热本地疫情受输入病例，特别是东南亚地区输入病例影响大。本研究结果支持我国广州市登革热疫情尚未本地化，由输入病例导致的本地流行的推论。 |
| English Abstract: |
| Objective To assess the incidence of dengue fever and E gene evolution of dengue virus in Guangzhou in 2020 and understand the local epidemiological characteristics of dengue fever and spreading of dengue virus. Methods The information of dengue fever cases in Guangzhou in 2020 was collected from Notifiable Infectious Disease System of Chinese Center for Disease Control and Prevention Information System. Serum samples from the cases were detected by real-time PCR. The E gene was sequenced and analyzed. Maximum likelihood phylogenetic trees were constructed using software MEGA 5.05. The statistical analysis was conducted using software SPSS 20.0. Results A total of 33 dengue fever cases were reported in Guangzhou in 2020, including 31 (93.94%) imported cases and 2 (6.06%) local cases. Compared with the data during 2016 to 2019, the number of cases, overall incidence and local incidence all decreased with statistically significant differences (all P<0.05). The imported cases from Southeast Asia constituted 90.32% (28/31) of imported cases. The E gene sequences and the phylogenetic trees of imported and local cases demonstrated close relationship with the virus sequences from Southeast Asian, and they were less homologous with the sequences of dengue virus isolated in Guangzhou in previous years. Conclusion The incidence of dengue in Guangzhou in 2020 was significantly affected by the imported cases, especially those from Southeast Asian countries. The study result demonstrated that dengue fever was not endemic in Guangzhou and it was caused by imported ones. |
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