媒介生物监测

南宁市2019年登革热暴发疫情与当年伊蚊监测数据分析

展开
  • 1. 南宁市疾病预防控制中心寄生虫病与地方病防制科, 广西南宁 530023;
    2. 南宁市第八人民医院, 广西 南宁 530001;
    3. 广西医科大学, 广西南宁 530021
石健,男,主任医师,硕士,主要从事传染病防制工作,E-mail:shijian130@163.com

收稿日期: 2022-03-09

  网络出版日期: 2022-10-14

基金资助

南宁市重点学科项目(传染病防制学科);广西卫生科技项目(Z20201224)

An analysis of dengue fever outbreak and Aedes surveillance data in Nanning,Guangxi Autonomous Region,China,2019

Expand
  • 1. Department of Parasitic and Endemic Disease Control, Nanning Center for Disease Control and Prevention, Nanning, Guangxi 530023, China;
    2. Nanning Eighth People's Hospital, Nanning, Guangxi 530001, China;
    3. Guangxi Medical University, Nanning, Guangxi 530021, China

Received date: 2022-03-09

  Online published: 2022-10-14

Supported by

Project of Nanning Key Subject (Infectious Disease Control and Prevention);Guangxi Health Technology Project (No.Z20201224)

摘要

目的 分析广西壮族自治区南宁市2019年登革热暴发疫情与伊蚊监测密度的相关性,评价南宁市媒介伊蚊监测数据对登革热暴发流行预警的作用,为改进伊蚊监测工作提供参考。方法 收集南宁市2019年登革热暴发疫情病例资料和当年的伊蚊监测资料,采用描述性流行病学方法,分析疫情暴发的流行病学特点和伊蚊密度消长的情况及二者相关性。结果 2019年首例本地病例发病日期是6月28日,发病时间四分位数Q25Q50Q75分别是9月29日、10月9日和10月20日,6-12月的月病例数分别是1、0、12、275、647、93、5例;常规监测全市的布雷图指数(BI)在6、7和9月处于全年的较高水平,但全市和病例数较多的江南、西乡塘、青秀和良庆区的BI均<5;常规监测全市的诱蚊诱卵指数(MOI)在6、8和9月处于全年的较高水平,但全市和青秀区MOI均<5;常规监测全市的帐诱指数在5、6、7和9月均>2只/(顶·h),但西乡塘和良庆区帐诱指数均<2只/(顶∙h);应急监测(灭蚊前)全市BI几乎都>5;应急监测(灭蚊前)良庆区帐诱指数<1只/(顶∙h);应急监测(灭蚊后)青秀和良庆区的BI比常规监测高。各月登革热病例数与常规监测、应急监测和总BI、MOI(应急监测无此指标)和帐诱指数未显示出统计学意义的相关性(均P>0.05)。结论 南宁市2019年的伊蚊监测数据总体上未显示出与当年登革热暴发疫情的相关性,具体原因有待进一步调查分析,南宁市媒介伊蚊监测工作和数据利用需进一步完善。

本文引用格式

石健, 周冬梅, 屈志强, 刘昊晖, 廖克昌, 黄超俊, 汤洪洋, 姜斯阳, 唐金芳, 黄家运 . 南宁市2019年登革热暴发疫情与当年伊蚊监测数据分析[J]. 中国媒介生物学及控制杂志, 2022 , 33(5) : 689 -695 . DOI: 10.11853/j.issn.1003.8280.2022.05.014

Abstract

Objective To analyze the correlation between the dengue fever outbreak and Aedes surveillance density in Nanning,Guangxi Autonomous Region,China in 2019,and evaluate the role of Aedes surveillance in the early warning of dengue outbreaks in Nanning,and to provide a reference for improving local surveillance of Aedes mosquitoes.Methods We collected the data on the dengue outbreak and Aedes surveillance in Nanning in 2019 to analyze the epidemiological characteristics of the outbreak,the fluctuations in the density of Aedes mosquitoes,and the correlation between the outbreak and Aedes density fluctuations using descriptive epidemiological methods.Results The date of onset of the first local case of dengue fever in 2019 was June 28,and the quartiles (Q25,Q50,and Q75) of onset time were September 29,October 9,and October 20,respectively.The monthly cases of dengue fever from June to December were 1,0,12,275,647,93,and 5,respectively.The Breteau index (BI) by routine surveillance in Nanning was higher in June,July,and September in 2019,but in Nanning and its Jiangnan district,Xixiangtang district,Qingxiu district,and Liangqing district with the largest numbers of cases,the BI was all<5.The mosquito ovitrap index (MOI) by routine surveillance in Nanning was higher in June,August,and September in 2019,but the MOI in Nanning and its Qingxiu district was both<5.The mean net trap index by routine surveillance in Nanning was>2 mosquitoes/net·hour in May,June,July,and September,but it was<2 mosquitoes/net·hour in Xixiangtang district and Liangqing district.Before mosquito control,the BI by emergency monitoring was almost all>5 across Nanning,and the net trap index by emergency monitoring was<1 mosquito/net·hour in Liangqing district.After mosquito control,the BI of Qingxiu and Liangqing districts by emergency monitoring was higher than that by routine monitoring.The number of cases of dengue fever in each month had no significant correlation with the BI,MOI,or net trap index,regardless of routine surveillance,emergency surveillance,and overall analysis (all P>0.05).Conclusion The surveillance densities of Aedes mosquitoes in Nanning in 2019 were generally not correlated with the dengue fever outbreak in that year.The specific reasons need further investigation,and Aedes surveillance and data utilization in Nanning need to be improved.

参考文献

[1] Abualamah WA,Akbar NA,Banni HS,et al. Forecasting the morbidity and mortality of dengue fever in KSA:A time series analysis (2006-2016)[J]. J Taibah Univ Med Sci,2021,16(3):448-455. DOI:10.1016/j.jtumed.2021.02.007.
[2] World Health Organization. Dengue bulletin,Vol-41[R]. New Delhi,India:The WHO Regional Office for South-East Asia,2020.
[3] Zeng ZL,Zhan J,Chen LY,et al. Global,regional,and national dengue burden from 1990 to 2017:A systematic analysis based on the global burden of disease study 2017[J]. eClinicalMedicine,2021,32:100712. DOI:10.1016/j.eclinm. 2020.100712.
[4] 李晋涛.登革热防治研究进展[J].第三军医大学学报,2019,41(19):1902-1907. DOI:10.16016/j.1000-5404.201909095. Li JT. Advances in prevention and control for dengue fever[J]. J Army Med Univ,2019,41(19):1902-1907. DOI:10.16016/j.1000-5404.201909095.(in Chinese)
[5] 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.issn.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.issn.1003.8280.2020.01.001.(in Chinese)
[6] 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)
[7] 施家威,帅春江,毛国华,等.数学模型在输入型登革热暴发综合防治中的应用[J].中国媒介生物学及控制杂志,2010,21(5):482-485. Shi JW,Shuai CJ,Mao GH,et al. Application of mathematical models in integrated control of imported dengue fever outbreaks[J]. Chin J Vector Biol Control,2010,21(5):482-485.(in Chinese)
[8] 吴敏泉,赵锦,周银柱,等.传染病动力学模型在登革热疫情防控中的应用[J].实用预防医学,2021,28(9):1049-1054. DOI:10.3969/j.issn.1006-3110.2021.09.006. Wu MQ,Zhao J,Zhou YZ,et al. Application of epidemic dynamics model to prevention and control of dengue fever epidemic[J]. Pract Prev Med,2021,28(9):1049-1054. DOI:10.3969/j.issn.1006-3110.2021.09.006.(in Chinese)
[9] Li RY,Xu L,Bjørnstad ON,et al. Climate-driven variation in mosquito density predicts the spatiotemporal dynamics of dengue[J]. Proc Natl Acad Sci USA,2019,116(9):3624-3629. DOI:10.1073/pnas.1806094116.
[10] 陈燕霞,张希如,叶双岚,等.三种白纹伊蚊监测方法在登革热风险指示中的适用性探讨[J].中华疾病控制杂志,2019,23(6):723-727. DOI:10.16462/j.cnki.zhjbkz.2019.06.020. Chen YX,Zhang XR,Ye SL,et al. Applicability of three surveillance methods for Aedes albopictus in dengue risk indication[J]. Chin J Dis Control Prev,2019,23(6):723-727. DOI:10.16462/j.cnki.zhjbkz.2019.06.020.(in Chinese)
[11] 刘华,曲建强,王学军,等. 2种监测方法在登革热媒介监测中的应用效果评价[J].中华卫生杀虫药械,2018,24(3):243-246. DOI:10.19821/j.1671-2781.2018.03.008. Liu H,Qu JQ,Wang XJ,et al. Evaluation of the application effect of two monitoring methods in dengue media monitoring[J]. Chin J Hyg Insect Equip,2018,24(3):243-246. DOI:10.19821/j.1671-2781.2018.03.008.(in Chinese)
[12] 刘小波,郭玉红,李金海,等.西双版纳州登革热暴发现场BGS-trap媒介蚊虫监测研究[J].中国媒介生物学及控制杂志,2014,25(2):97-100. DOI:10.11853/j.issn.1003.4692. 2014.02.002. Liu XB,Guo YH,Li JH,et al. Surveillance of adult Aedes mosquitoes in response to the outbreak of dengue fever in Xishuangbanna using BG-Sentinel mosquito trap[J]. Chin J Vector Biol Control,2014,25(2):97-100. DOI:10.11853/j.issn.1003.4692.2014.02.002.(in Chinese)
[13] 赵丹,李中杰,周航,等.登革热预警技术研究进展[J].中华流行病学杂志,2012,33(5):540-543. DOI:10.3760/cma.j.issn. 0254-6450.2012.05.022. Zhao D,Li ZJ,Zhou H,et al. Review on the research progress of early-warning system on dengue fever[J]. Chin J Epidemiol,2012,33(5):540-543. DOI:10.3760/cma.j.issn.0254-6450. 2012.05.022.(in Chinese)
文章导航

/