云南省2013－2022年登革热流行趋势及暴发疫情特征分析

doi:10.11853/j.issn.1003.8280.2024.01.011

中国媒介生物学及控制杂志 ›› 2024, Vol. 35 ›› Issue (1): 63-68.DOI: 10.11853/j.issn.1003.8280.2024.01.011

云南省2013－2022年登革热流行趋势及暴发疫情特征分析

陈莉华¹, 念鹏英², 沈秀莲¹, 郑尔达¹, 段江丽³

1. 云南省疾病预防控制中心疫情监测/突发公共卫生事件处置中心, 云南昆明 650022;
2. 玉溪市江川区疾病预防控制中心疾病控制科, 云南玉溪 653100;
3. 大理白族自治州疾病预防控制中心质量管理室, 云南大理 671000

收稿日期:2023-07-18 出版日期:2024-02-20 发布日期:2024-03-05
通讯作者: 段江丽,E-mail:112762978@qq.com
作者简介:陈莉华，女，硕士，主管医师，主要从事传染病疫情及突发公共卫生事件监测与防控工作，E-mail：312728767@qq.com；念鹏英，女，主管医师，主要从事传染病防控工作，E-mail：997260013@qq.com
基金资助:
2021年度教育部哲学社会科学研究重大课题攻关项目（21JZD039）

Epidemiological trends and outbreak characteristics of dengue fever in Yunnan Province， China， 2013-2022

CHEN Li-hua¹, NIAN Peng-ying², SHEN Xiu-lian¹, ZHENG Er-da¹, DUAN Jiang-li³

1. Epidemic Monitoring/Emergency Public Health Response Center, Yunnan Center for Disease Prevention and Control, Kunming, Yunnan 650022, China;
2. Department for Disease Control, Jiangchuan Center for Disease Control and Prevention of Yuxi, Yuxi, Yunnan 653100, China;
3. Quality Control Office, Dali Prefectural Center for Disease Control and Prevention, Dali, Yunnan 671000, China

Received:2023-07-18 Online:2024-02-20 Published:2024-03-05
Supported by:
Ministry of Education's 2021 Project on Philosophy and Social Sciences (No. 21JZD039)

摘要/Abstract

摘要： 目的分析云南省登革热流行特征系统及暴发疫情情况，为制定有效防控措施提供科学依据。方法从“中国疾病预防控制信息系统”的“传染病监测”和“突发公共卫生事件管理信息系统”模块收集2013－2022年云南省报告的登革热病例及暴发疫情相关信息，采用集中度法分析季节性，使用Excel 2007软件进行数据整理，MapInfo 7.8软件绘制地图，采用SPSS 26.0统计软件进行相关性分析，率或构成比的比较采用χ²检验，采用描述流行病学方法对登革热流行特征及暴发疫情处置情况进行分析。结果 2013－2022年云南省共报告登革热病例16 774例，其中本地病例11 944例，境外输入病例4 521例，境内输入病例309例，年均报告发病率为3.53/10万。发病呈现隔年高发的现象，发病集中度（M）为0.84，具有很强的季节性。输入病例主要发生在6－10月，本地病例以8－11月为主。输入病例中男女性别比略高于本地病例（χ²=37.596，P<0.001）。本地病例以30～<40岁人群为主（20.14%），输入病例以20～<30岁人群最多（27.58%）。本地病例出现在边境5个州（市），输入病例中境外主要来源于东南亚和非洲国家，缅甸、柬埔寨和老挝是主要来源国（96.81%），境内以西双版纳傣族自治州为主（85.76%）。病例职业主要为农民、商业服务、干部/离退人员、家务及待业和学生，本地病例中以商业服务者构成比最高（21.89%），输入病例中以农民构成比最高（39.90%），输入病例与本地病例的职业分布差异有统计学意义（χ²=1 535.415，P<0.001）。2013－2022年共报告登革热暴发疫情28起，其中较大事件1起，一般事件27起，报告病例数占总病例数的83.41%，每起事件平均涉及病例499.71例；首发病例发病到核实事件发生中位时间为7（5，9） d，暴发疫情持续时间中位数为110（27，140） d；25起暴发事件发生在村（社区）。结论云南省登革热存在明显季节、人群以及地区分布规律，应进一步加强输入病例管控、媒介监测控制以及重点地区的防控工作。

关键词: 登革热, 流行特征, 暴发, 本地病例, 输入病例

Abstract: Objective To analyze epidemiological characteristics and outbreak of dengue fever in Yunnan Province, China, so as to provide a scientific basis for formulating effective prevention and control measures. Methods Relevant data on dengue fever cases and outbreaks reported in Yunnan Province during 2013-2022 were collected from the “Infectious Disease Surveillance System” and “Public Health Emergency Management Information System” of “China Disease Control and Prevention Information System”. The concentration method was used to analyze seasonal characteristics. Excel 2007 software was used to sort out the data. MapInfo 7.8 software was used to draw the map. SPSS 26.0 was used to analyze the correlation, and the Chi-square test was used to compare the rate or composition ratio. The descriptive epidemiological method was used to analyze the epidemiological characteristics and outbreak response to dengue fever. Results A total of 16 774 cases of dengue fever were reported in Yunnan Province from 2013 to 2022, including 11 944 local cases, 4 521 overseas imported cases, and 309 domestic imported cases, with an average annual reported incidence of 3.53/100 000. The disease showed a high incidence every other year. The concentration (M) was 0.84, showing strong seasonality. Imported cases mainly occurred from June to October, and local cases mostly from August to November. The male-to-female ratio of imported cases was slightly higher than that of local cases (χ²=37.596, P<0.001). The majority of local cases were 30～<40 years old (20.14%), and the majority of imported cases were 20～<30 years old (27.58%). The local cases were found in 5 border prefectures (cities). The overseas imported cases were mainly from southeast Asian countries and African countries, and Myanmar, Cambodia, and Laos were the main source countries (96.81%). The domestic imported cases were mainly from Xishuangbanna Dai Autonomous Prefecture (85.76%). The majority of cases were farmers, commercial service personnel, cadres/retirees, housekeepers, job-waiting people, and students. Commercial service personnel accounted for the highest proportion in local cases (21.89%), while farmers accounted for the highest proportion in imported cases (39.90%). There was a significant difference in occupational distribution between imported cases and local cases (χ²=1 535.415, P<0.001). A total of 28 dengue fever outbreaks were reported from 2013 to 2022, including 1 major event and 27 general events. The number of reported cases accounted for 83.41% of the total number of cases, and each event involved an average of 499.71 cases. The median time from the onset of the first case to the verification of event occurrence was 7 (5, 9) days, and the median duration of the outbreak was 110 (27, 140) days. Twenty-five outbreaks occurred in villages/communities. Conclusions Dengue fever in Yunnan has obvious seasonal, aggregated, and regional distribution patterns. We need to further strengthen imported case management, disease vector surveillance and control, and the prevention and control of dengue fever in key areas.

Key words: Dengue fever, Epidemiological characteristic, Outbreak, Local case, Imported case

中图分类号:

R373.33

陈莉华, 念鹏英, 沈秀莲, 郑尔达, 段江丽. 云南省2013－2022年登革热流行趋势及暴发疫情特征分析[J]. 中国媒介生物学及控制杂志, 2024, 35(1): 63-68.

CHEN Li-hua, NIAN Peng-ying, SHEN Xiu-lian, ZHENG Er-da, DUAN Jiang-li. Epidemiological trends and outbreak characteristics of dengue fever in Yunnan Province， China， 2013-2022[J]. Chinese Journal of Vector Biology and Control, 2024, 35(1): 63-68.

参考文献

[1] 龚甫哲. 2018年9月世界卫生组织关于登革热疫苗的意见书[J]. 疾病监测,2019,34(3):278-284. DOI:10.3784/j.issn. 1003-9961.2019.03.020.Gong FZ. Dengue vaccine:WHO position paper-September 2018[J]. Dis Surveill,2019,34(3):278-284. DOI:10.3784/j.issn. 1003-9961.2019.03.020.(in Chinese)
[2] World Health Organization. Global strategy for dengue prevention and control,2012-2020[R]. Geneva:World Health Organization,2012.
[3] 自登云,陈伯权,俞永新. 虫媒病毒与虫媒病毒病[M]. 昆明:云南科技出版社,1995:164-177.Zi DY,Chen BQ,Yu YX. Arbovirus and arbovirus disease[M]. Kunming:Yunnan Science and Technology Press,1995:164-177. (in Chinese)
[4] 孟凤霞,王义冠,冯磊,等. 我国登革热疫情防控与媒介伊蚊的综合治理[J]. 中国媒介生物学及控制杂志,2015,26(1):4-10. DOI:10.11853/j.issn.1003.4692.2015.01.002.Meng FX,Wang YG,Feng L,et al. Review on dengue prevention and control and integrated mosquito management in China[J]. Chin J Vector Biol Control,2015,26(1):4-10. DOI:10.11853/j.issn.1003.4692.2015.01.002.(in Chinese)
[5] Yue YJ,Liu XB,Xu M,et al. Epidemiological dynamics of dengue fever in mainland China,2014-2018[J]. Int J Infect Dis,2019,86:82-93. DOI:10.1016/j.ijid.2019.06.015.
[6] 岳玉娟,刘小波,郭玉红,等. 2020-2022年中国登革热时空分布及相关环境因素分析[J]. 环境卫生学杂志,2023,13(5):341-345. DOI:10.13421/j.cnki.hjwsxzz.2023.05.006.Yue YJ,Liu XB,Guo YH,et al. Spatio-temporal distribution and environmental factors of dengue fever in China,2020-2022[J]. J Environ Hyg,2023,13(5):341-345. DOI:10.13421/j.cnki.hjwsxzz.2023.05.006.(in Chinese)
[7] 张海林. 云南省登革热和基孔肯雅热跨境传播、本地流行、发展趋势及对策[J]. 中国媒介生物学及控制杂志,2021,32(1):12-20. DOI:10.11853/j.issn.1003.8280.2021.01.002.Zhang HL. Cross-border spread,indigenous transmission,development trend,and control strategy for dengue fever and chikungunya fever in Yunnan province,China[J]. Chin J Vector Biol Control,2021,32(1):12-20. DOI:10.11853/j.issn.1003. 8280.2021.01.002.(in Chinese)
[8] 刘永华,尹小雄,张海林,等. 云南省德宏州2013-2019年登革热流行特征及媒介伊蚊监测分析[J]. 中国媒介生物学及控制杂志,2021,32(2):173-180. DOI:10.11853/j.issn.1003. 8280.2021.02.011.Liu YH,Yin XX,Zhang HL,et al. Epidemiological characteristics of dengue fever and monitoring of Aedes vector mosquitoes in Dehong Dai and Jingpo Autonomous Prefecture of Yunnan province,China,2013-2019[J]. Chin J Vector Biol Control,2021,32(2):173-180. DOI:10.11853/j.issn.1003. 8280.2021.02.011.(in Chinese)
[9] 中华人民共和国卫生部. WS 216-2008登革热诊断标准[S]. 北京:中国标准出版社,2008.Ministry of Health of the People's Republic of China. WS 216-2008 Diagnostic criteria and principle of management of dengue fever[S]. Beijing:Standards Press of China,2008. (in Chinese)
[10] 国家卫生和计划生育委员会. WS 216-2018登革热诊断标准[S]. 北京:中国标准出版社,2018.National Health and Family Planning Commission of the People's Republic of China. WS 216-2018 Diagnosis for dengue fever[S]. Beijing:Standards Press of China,2018. (in Chinese)
[11] 刘起勇. 我国登革热流行新趋势、防控挑战及策略分析[J]. 中国媒介生物学及控制杂志,2020,31(1):1-6. DOI:10.11853/j.jssn.1003.8280.2020.01.001.Liu QY. Dengue fever in China:New epidemical trend,challenges and strategies for prevention and control[J]. Chin J Vector Biol Control,2020,31(1):1-6. DOI:10.11853/j.jssn. 1003.8280.2020.01.001.(in Chinese)
[12] 李炳辉,朱海龙,马小芳,等. 基于集中度和圆形分布法分析山东省青岛市2017-2020年媒介蚊虫季节性特征[J]. 中国媒介生物学及控制杂志,2022,33(2):230-233,238. DOI:10.11853/j.issn.1003.8280.2022.02.012.Li BH,Zhu HL,Ma XF,et al. Analysis of seasonal characteristics of mosquito vectors in Qingdao city of Shandong province during 2017 and 2020 by the concentration and circular distribution method[J]. Chin J Vector Biol Control,2022,33(2):230-233,238. DOI:10.11853/j.issn.1003.8280.2022.02.012.(in Chinese)
[13] 中国卫生部国际合作司,云南省卫生厅,云南省寄生虫病防治所. 云南边境登革热防治手册[M]. 昆明:云南科技出版社,2011:1-35.International Cooperation Department of the Ministry of Health of China,Yunnan Provincial Department of Health,Yunnan Provincial Institute for Parasitic Disease Prevention and Control. Mannual for dengue fever control in Yunnan border areas[M]. Kunming:Yunnan Science and Technology Press,2011:1-35. (in Chinese)
[14] Hu TS,Zhang HL,Feng Y,et al. Epidemiological and molecular characteristics of emergent dengue virus in Yunnan province near the China-Myanmar-Laos border,2013-2015[J]. BMC Infect Dis,2017,17(1):331. DOI:10.1186/s12879-017-2401-1.
[15] 冯云,张海林,潘虹,等. 云南省登革病毒血清型和基因型多样性及溯源研究[J]. 中华实验和临床病毒学杂志,2017,31(1):24-30. DOI:10.3760/cma.j.issn.1003-9279.2017.01.005.Feng Y,Zhang HL,Pan H,et al. Diversity of serotypes and genotypes and molecular tracing of Dengue viruses isolated from dengue fever cases in Yunnan[J]. Chin J Exp Clin Virol,2017,31(1):24-30. DOI:10.3760/cma.j.issn.1003-9279.2017.01.005.(in Chinese)(5):428-432. DOI:10.3760/cma.j.issn.0254-6450.2013.05.004.Zhang HL,Fu SH,Deng Z,et al. An outbreak of imported dengue fever from Myanmar to the border of China,with its viral molecular epidemiological features[J]. Chin J Epidemiol,2013,34(5):428-432. DOI:10.3760/cma.j.issn.0254-6450.2013. 05.004.(in Chinese)
[17] Cuong HQ,Vu NT,Cazelles B,et al. Spatiotemporal dynamics of dengue epidemics,southern Vietnam[J]. Emerg Infect Dis,2013,19(6):945-953. DOI:10.3201/eid1906.121323.
[18] 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.Mu D,He YN,Chen QL,et al. Comparison of epidemiological features between imported and indigenous dengue cases in China[J]. Dis Surveill,2017,32(3):184-189. DOI:10.3784/j.issn. 1003-9961.2017.03.004.(in Chinese)
[19] 刘昶权,张国明,韦广莹,等. 2019年广东省480例登革热住院患者的流行病学和临床特征分析[J]. 中华传染病杂志,2021,39(4):209-213. DOI:10.3760/cma.j.cn311365-20200220-00093.Liu CQ,Zhang GM,Wei GY,et al. Analysis of epidemiological characteristics and clinical features of 480 hospitalized patients with dengue fever in Guangdong province in 2019[J]. Chin J Infect Dis,2021,39(4):209-213. DOI:10.3760/cma.j.cn311365-20200220-00093.(in Chinese)
[20] 魏春,郭小连,杨锐,等. 云南省2013-2020年登革热流行及聚集特征分析[J]. 中国媒介生物学及控制杂志,2021,32(6):720-724,743. DOI:10.11853/j.issn.1003.8280.2021.06.013.Wei C,Guo XL,Yang R,et al. Epidemiological and cluster characteristics of dengue fever in Yunnan province,China,2013-2020[J]. Chin J Vector Biol Control,2021,32(6):720-724,743. DOI:10.11853/j.issn.1003.8280.2021.06.013.(in Chinese)
[21] 王晶,罗飞,何为涛,等. 广西壮族自治区2016-2020年登革热流行特征分析[J]. 中国媒介生物学及控制杂志,2023,34(1):65-69. DOI:10.11853/j.issn.1003.8280.2023.01.012.Wang J,Luo F,He WT,et al. Epidemiological characteristics of dengue fever in Guangxi Zhuang Autonomous Region,China,2016-2020[J]. Chin J Vector Biol Control,2023,34(1):65-69. DOI:10.11853/j.issn.1003.8280.2023.01.012.(in Chinese)
[22] 范建华,冯云,朱进,等. 2017年云南省西双版纳州登革1型病毒暴发疫情的调查研究[J]. 疾病监测,2019,34(5):427-434. DOI:10.3784/j.issn.1003-9961.2019.05.013.Fan JH,Feng Y,Zhu J,et al. An outbreak of Dengue serotype 1 virus in Xishuangbanna prefecture of Yunnan province,China,2017[J]. Dis Surveill,2019,34(5):427-434. DOI:10.3784/j.issn.1003-9961.2019.05.013.(in Chinese)
[23] 杨锐,罗燕,冯志刚,等. 中缅边境地区一起登革热暴发疫情调查分析[J]. 中国病原生物学杂志,2021,16(2):228-230. DOI:10.13350/j.cjpb.210220.Yang R,Luo Y,Feng ZG,et al. Analysis and investigation of one outbreak of dengue fever in the border areas of Yunnan,PR China with Myanmar[J]. J Parasit Biol,2021,16(2):228-230. DOI:10.13350/j.cjpb.210220.(in Chinese)

云南省2013－2022年登革热流行趋势及暴发疫情特征分析

Epidemiological trends and outbreak characteristics of dengue fever in Yunnan Province， China， 2013-2022

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[13]	伦辛畅, 杨锐, 林凌鸿, 王君, 郭玉红, 修朋程, 刘起勇, 孟凤霞. 云南省边境地区居民登革热知识和防蚊行为现状及其影响因素分析[J]. 中国媒介生物学及控制杂志, 2023, 34(3): 362-371.
[14]	苏帆, 孙继民, 凌锋, 张蓉, 刘营, 王桢. 浙江省2021年肾综合征出血热流行特征及宿主动物监测分析[J]. 中国媒介生物学及控制杂志, 2023, 34(3): 378-382.
[15]	张燕, 田珍灶, 向昱龙, 王丹, 周敬祝, 梁文琴. 贵州省2016-2020年登革热媒介伊蚊监测分析[J]. 中国媒介生物学及控制杂志, 2023, 34(2): 218-221.