Epidemiological features of dengue fever and envelope gene of dengue virus among imported and indigenous cases in Guangzhou city: a comparison analysis on registry data of 2019
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摘要:
目的 对广东省广州市2019年登革热输入病例和本地病例的流行病学资料和病毒E基因进行分析,评估输入病例对广州市登革热流行的影响。 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广州市2019年登革热病例信息,统计分析病例流行病学特征,测定登革病毒E基因序列并构建最大相似度基因树。 结果 广州市2019年共计报告登革热确诊病例1655例,输入病例273例,本地病例1382例。输入病例中男女性别比为2.85 : 1,86.45 %的病例发病年龄集中在20~49岁,职业分布主要为商业服务、家务及待业和工人为主,全年12个月均有发生,发病高峰在6 — 8月,东南亚国家输入病例占境外输入病例的90.38 %。本地病例中男女性比为1.07 : 1,89.87 %的病例发病年龄集中在20~69岁,职业分布主要为家务及待业、商业服务和离退休人员,发病时间为6 — 12月,发病高峰在8 — 10月。病毒E 基因显示本地病例序列与输入病例序列、东南亚国家序列亲缘关系较近。 结论 广州市登革热流行受输入影响较大,2019年的本地流行是由输入病例引起的可能性更大。 Abstract:Objective To assess epidemiological features of imported and indigenous dengue fever cases and phylogenetic features of dengue virus prevalent in the cases in Guangzhou, Guangdong province in 2019 and to explore the impact of imported cases on dengue fever epidemics in the city. Methods The data on all dengue fever cases registered in Guangzhou city in 2019 were extracted from the National Notifiable Infectious Disease Reporting System. The demographic and epidemiological features of the reported cases were statistically analyzed. The envelope (E) gene of the dengue viruses isolated from the cases was sequenced and analyzed to construct maximum likelihood phylogenetic trees. Results Among 1655 dengue fever incidents yearly registered in the city, 273 and 1 382 were imported and local cases. Of the imported cases with a male to female ratio of 2.85 : 1, 86.45% were aged 20 to 49 years, mainly being engaged in commercial service, housework and general industries. The imported cases occurred in every month of the year but more cases were reported during June and August. The most (90.38%) of the imported cases were from Southeast Asia. For the reported local dengue fever cases, the male to female ratio was 1.07 : 1 and 89.87% were at ages of 20 – 69 years; main occupations of the local cases included houseworker, unemployee, commercial service worker and retiree; the local cases were reported during June – December and more cases were reported during August – October of the year. E gene sequences of the virus isolated from the local cases displayed close associations with sequences from imported cases and with those of prevalent virus in Southeast Asia. Conclusion The epidemic of dengue fever in Guangzhou city was affected by the imported dengue fever cases and the local prevalence of dengue fever in 2019 was likely being induced by the imported cases. -
Key words:
- dengue fever /
- dengue virus /
- epidemiology /
- envelope gene /
- phylogenetic tree
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表 1 登革病毒血清型1~4型测序引物
血清型 引物名称 序列 DENV1 DEN1 F 5′-CTCTGAGACACCCAGGATTCAC-3′ DEN1 R 5′-GCTGATCGAATTCCACACAC-3′ DENV2 DEN2 F 5′-CCAGGCTTTACCATAATGGC-3′ DEN2 R 5′-CCAGCTGCACAACGCAACCAC-3′ DENV3 DEN3 F 5′-AGTCGAGAAGTAGAGACATGG-3′ DEN3 R 5′-CTCTGTCCAGGTGTGGACCT-3′ DENV4 DEN4 F 5′-CTGTTTTCTTTGTCCTAATGATGCT-3′ DEN4 R 5′-AACCCATGTCTGCTTGAACTGTGA-3′ 表 2 广州市2019年确诊病例血清样本核酸检测情况(例)
病例来源 阴性 阳性无
法分型DENV
1型DENV
2型DENV
3型DENV
4型阳性
合计输入病例 80 51 107 22 11 2 273 本地病例 114 256 878 84 50 0 1382 -
[1] World Health Organization. Dengue and severe dengue[EB/OL]. (2020 – 01 – 01)[2021 – 09 – 22].https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue. [2] 李焱, 时莹, 徐志凯, 等. 登革病毒E蛋白入胞机制研究现状[J]. 热带医学杂志, 2010, 10(2): 221 – 222. doi: 10.3969/j.issn.1672-3619.2010.02.035 [3] Rico-Hesse R. Microevolution and virulence of dengue viruses[J]. Advances in Virus Research, 2003, 59: 315 – 341. doi: 10.1016/s0065-3527(03)59009-1 [4] 陆剑云, 陈宗遒, 马蒙蒙, 等. 2008 — 2017年广州市登革热疫情流行趋势[J]. 热带医学杂志, 2018, 18(7): 973 – 976,985. doi: 10.3969/j.issn.1672-3619.2018.07.031 [5] 蒋力云, 曹毅敏, 许杨, 等. 广州市2011年登革病毒流行状况及E基因进化特征分析[J]. 中华流行病学杂志, 2012, 33(12): 1273 – 1275. doi: 10.3760/cma.j.issn.0254-6450.2012.12.017 [6] Guindon S, Dufayard JF, Lefort V, et al. New algorithms and methods to estimate maximum - likelihood phylogenies: assessing the performance of PhyML 3.0[J]. Systematic Biology, 2010, 59(3): 307 – 321. doi: 10.1093/sysbio/syq010 [7] Feng X, Sun W, Birkhead GS, et al. The surveillance of four mosquito - borne diseases in international travelers arriving at Guangzhou Baiyun International Airport, China, 2016 – 2017[J]. Travel Medicine and Infectious Disease, 2019, 32: 101513. doi: 10.1016/j.tmaid.2019.101513 [8] 牟笛, 何泱霓, 陈秋兰, 等. 我国2016年登革热输入和本地病例流行病学特征比较[J]. 疾病监测, 2017, 32(3): 184 – 189. doi: 10.3784/j.issn.1003-9961.2017.03.004 [9] 梁丹, 苏娟, 肖红, 等. 2014年广东省登革热流行期间实验室诊断评价[J]. 中国公共卫生, 2021, 37(3): 530 – 536. doi: 10.11847/zgggws1127062 [10] 师永霞, 黄鹂, 廖芸, 等. 2009 – 2015年广州口岸输入性登革热的流行病学分析[J]. 现代预防医学, 2017, 44(6): 965 – 967. [11] Zhang ZB, Jing QL, Chen ZQ, et al. The increasing menace of dengue in Guangzhou, 2001 – 2016: the most important epicenter in mainland China[J]. BMC Infectious Diseases, 2019, 19(1): 1002. doi: 10.1186/s12879-019-4504-3 [12] Chen YB, Zhao ZG, Li ZC, et al. Spatiotemporal transmission patterns and determinants of dengue fever: a case study of Guangzhou, China[J]. International Journal of Environmental Research and Public Health, 2019, 16(14): 2486. doi: 10.3390/ijerph16142486 [13] 蒋力云, 刘远, 苏文哲, 等. 广州市2019年登革热确诊病例空间聚集性及登革病毒E基因进化特征分析[J]. 中华流行病学杂志, 2021, 42(5): 878 – 885. doi: 10.3760/cma.j.cn112338-20201015-01238 [14] Cheng Q, Jing QL, Spear RC, et al. The interplay of climate, intervention and imported cases as determinants of the 2014 dengue outbreak in Guangzhou[J]. PLoS Neglected Tropical Diseases, 2017, 11(6): e0005701. doi: 10.1371/journal.pntd.0005701 [15] 宋韶芳, 李美霞, 罗雷, 等. 2009年广州市首起本地感染登革热家庭聚集性暴发疫情的调查与处理[J]. 热带医学杂志, 2010, 10(10): 1225 – 1226, 1233. doi: 10.3969/j.issn.1672-3619.2010.10.025 [16] Jing QL, Cheng Q, Marshall JM, et al. Imported cases and minimum temperature drive dengue transmission in Guangzhou, China: evidence from ARIMAX model[J]. Epidemiology and Infection, 2018, 146(10): 1226 – 1235. doi: 10.1017/S0950268818001176 -