Epidemiological and cluster characteristics of dengue fever in Yunnan province, China, 2013-2020

doi:10.11853/j.issn.1003.8280.2021.06.013

Chinese Journal of Vector Biology and Control ›› 2021, Vol. 32 ›› Issue (6): 720-724.DOI: 10.11853/j.issn.1003.8280.2021.06.013

• Vector Infectious Disease • Previous Articles Next Articles

Epidemiological and cluster characteristics of dengue fever in Yunnan province, China, 2013-2020

WEI Chun¹, GUO Xiao-lian¹, YANG Rui¹, TANG Ye-rong¹, YUE Yu-juan², LIU Xiao-bo², LIU Qi-yong²

1. Yunnan Institute of Parasitic Diseases, Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Yunnan Institute of Parasitic Diseases Innovative Team of Key Techniques for Vector Borne Disease Control and Prevention(Developing), Pu'er, Yunnan 665099, China;
2. State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, Department of Vector Biology and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China

Received:2021-04-19 Online:2021-12-20 Published:2021-12-15
Supported by:
Supported by the State Key Laboratory of Infectious Disease Prevention and Control (China CDC) (No.2021SKLID502) and National Natural Science Foundation of China (No. 81703280)

云南省2013－2020年登革热流行及聚集特征分析

魏春¹, 郭小连¹, 杨锐¹, 唐烨榕¹, 岳玉娟², 刘小波², 刘起勇²

1. 云南省寄生虫病防治所, 云南省虫媒传染病防控研究重点实验室, 云南省虫媒传染病防控关键技术创新团队(培育), 云南普洱 665099;
2. 中国疾病预防控制中心传染病预防控制所媒介生物控制室, 传染病预防控制国家重点实验室, 感染性疾病诊治协同创新中心, 世界卫生组织媒介生物监测与管理合作中心, 北京 102206

通讯作者: 刘小波,E-mail:liuxiaobo@icdc.cn;刘起勇,E-mail:liuqiyong@icdc.cn
作者简介:魏春,女,应急办副主任,主管医师,主要从事虫媒传染病防控工作,E-mail:wch3235356@163.com
基金资助:
传染病预防控制国家重点实验室青年科学基金（2021SKLID502）；国家自然科学基金青年科学基金（81703280）

Abstract

Abstract: Objective To investigate the epidemiological and spatial cluster characteristics of dengue fever in Yunnan province, China, and to provide evidence for the formulation and improvement of targeted prevention and control measures in future. Methods The data of dengue cases in Yunnan province from 2013 to 2020 were collected from the China Information System for Disease Control and Prevention. Software ArcMap 10.7 was used to plot the geographical distribution, and software SaTScan v9.3 was used to analyze the spatial clustering. Results A total of 14 031 dengue cases were reported in Yunnan province from 2013 to 2020, including 11 505 indigenous cases, 2 507 overseas imported cases, and 19 cases imported from other provinces. The epidemic showed a "zigzag" increase. The overall spatial scan statistics detected two class I clusters in Jinghong city (log-likelihood ratio[LLR]=22 647.97) and Ruili city (LLR=10 125.08), and two class II clusters in Mengla county (LLR=1 167.76) and Gengma county (LLR=1 061.22). Class I clusters were detected in 2013, 2015, 2017, and 2019. The indigenous cases were found in 10 border counties. The overseas imported cases were mainly from southeast Asian countries and African countries, and Myanmar, Cambodia, and Laos were the main source countries. The reported cases were mainly imported in the first half of the year and were mainly indigenous in the second half of the year. The number of cases began to increase in July, peaked in August to October, and began to decline in November. Among the 14 031 dengue cases, the male/female ratio was 1:0.88, and 79.78% of the cases were aged from 15 to 60 years. The top five occupations in terms of incidence were business services (20.95%), farmers (20.52%), unemployed people (11.17%), retired people (8.97%), and students (7.31%). Conclusion The situation of dengue fever in Yunnan province is serious. It is urgent to do a good job in the control and management of imported cases and the monitoring and control of vector Aedes, thus providing guarantee for sustainable control of dengue fever.

Key words: Yunnan province, Dengue fever, Clusters, Indigenous cases, Imported cases

摘要： 目的了解云南省登革热流行及聚集特征，为今后针对性防控措施的制定和完善提供依据。方法从中国疾病预防控制信息系统收集云南省2013-2020年报告的登革热病例数据，利用ArcMap 10.7软件绘制分布地图、SaTScan v9.3软件进行空间扫描分析。结果 2013-2020年，云南省106个县（区）累计报告登革热病例14 031例，其中本地病例11 505例、境外输入病例2 507例、省外输入病例19例；疫情呈"锯齿状"升高态势。总体疫情扫描探测出2个一级聚类区和2个二级聚类区（均P<0.05），一级聚类区为景洪市[对数似然比（LLR）=22 647.97]和瑞丽市（LLR=10 125.08），二级聚类区为勐腊县（LLR=1 167.76）和耿马县（LLR=1 061.22）。2013、2015、2017和2019年均扫描探测出一级聚类区。本地病例出现在边境10个县，境外输入病例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。上半年以输入病例为主、下半年以本地病例为主，7月开始上升，8-10月达高峰期，11月开始下降。发病数男女性别比为1：0.88，15~60岁年龄组占79.78%，发病前5位人群构成分别为商业服务人员（20.95%）、农民（20.52%）、家务及待业人员（11.17%）、离退人员（8.97%）和学生（7.31%）。结论云南省登革热疫情形势严峻，亟待做好输入病例管控、媒介伊蚊监测及控制工作，为登革热可持续控制提供保障。

关键词: 云南省, 登革热, 聚集, 本地病例, 输入病例

CLC Number:

R373.3⁺3

WEI Chun, GUO Xiao-lian, YANG Rui, TANG Ye-rong, YUE Yu-juan, LIU Xiao-bo, LIU Qi-yong. Epidemiological and cluster characteristics of dengue fever in Yunnan province, China, 2013-2020[J]. Chinese Journal of Vector Biology and Control, 2021, 32(6): 720-724.

魏春, 郭小连, 杨锐, 唐烨榕, 岳玉娟, 刘小波, 刘起勇. 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.

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Epidemiological and cluster characteristics of dengue fever in Yunnan province, China, 2013-2020

云南省2013－2020年登革热流行及聚集特征分析

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