中国血吸虫病防治杂志 ›› 2017, Vol. 29 ›› Issue (2): 182-187.

• 论著 • 上一篇    下一篇

江西省输入性疟疾引起继发传播的风险评估

雷蕾1|2|夏志贵1|李志宏2|夏尚1|龚艳凤2|肖宁1*   

  1. 1 中国疾病预防控制中心寄生虫病预防控制所|世界卫生组织热带病合作中心|科技部国家级热带病国际联合研究中心|部级寄生虫病原与媒介生物学重点实验室(上海 200025);2 江西省疾病预防控制中心地方病防制所
  • 出版日期:2017-04-22 发布日期:2017-04-23
  • 通讯作者: 肖宁
  • 作者简介:雷蕾|女|硕士研究生|主管医师。研究方向:疟疾防治
  • 基金资助:
    国家重点研发计划项目(2016YFC1200500);WHO双年度合作项目(2012/269948?0);江西省卫生计生委科技计划(20172002)

Risk assessment of secondary transmission induced by imported malaria in Jiangxi Province

LEI Lei1|2| XIA Zhi-gui1| LI Zhi-hong2| XIA Shang1| GONG Yan-feng2| XIAO Ning1*   

  1. 1 National Institute of Parasitic Diseases| Chinese Center for Disease Control and Prevention; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases| Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology| National Health and Family Planning Commission of China| Shanghai 200025| China; 2 Jiangxi Provincial Center for Disease Control and Prevention| China
  • Online:2017-04-22 Published:2017-04-23
  • Contact: XIAO Ning

摘要: 目的 评估江西省由输入性疟疾病例引起本地继发传播的潜在风险及相关影响因素,为推动全省实现消除疟疾目标,调整监测重点地区和风险人群提供科学依据。方法 采用德尔菲法(Delphi method)建立江西省输入性疟疾引起继发传播的风险评价指标体系,并确定指标权重。收集江西省2012-2015年100个县(市、区)疟疾疫情、传疟媒介和防控能力等数据资料,分别计算各县(市、区)疟疾传播潜能指数(TPI)、消除疟疾防控能力指数(ICI)和疟疾传播风险指数(MRI),并绘制江西省输入性疟疾引起继发传播的潜在风险地图。 结果 全省疟疾传播风险指数前10位的县(市、区)分别为临川区(2.131)、信州区(1.609)、九江县(1.404)、章贡区(1.365)、丰城市(1.225)、青山湖区(1.184)、于都县(1.171)、定南县(1.018)、浔阳区(1.015)和珠山区(1.006)。风险较高的地区主要分布在地级市所在辖区以及流动人口较多的县(市、区)。 结论 江西省存在因输入性疟疾引起继发传播的风险,且流动人口越多、防控能力越薄弱的地区,其风险也随之增加。

关键词: 疟疾;输入;风险评估;继发传播;江西省

Abstract: Objective To assess the risk of secondary transmission induced by imported malaria in Jiangxi Province, so as to provide the evidence for adjustment of malaria surveillance strategies in the key groups and areas. Methods The Delphi method was used to establish the secondary transmission risk indicator system and the weight of each index was obtained. The data of malaria prevalence, vector distribution and intervention capacity were collected in 100 counties of Jiangxi Province from 2012 to 2015. The transmission potential index (TPI), intervention capacity index (ICI), and malaria risk index (MRI) were calculated for each county. The risk map was drawn with GIS software. Results The top ten counties with highly potential risk indicators were Linchuan District (2.131), Xinzhou District (1.609), Jiujiang County (1.404), Zhanggong District (1.365), Fengcheng City (1.225), Qingshanhu District (1.184), Yudu County (1.171), Dingnan County (1.018), Xunyang District (1.015) and Zhushan District (1.006). The high risk areas were mainly distributed in the regions of the capitals of their prefectures and in counties with more floating population. Conclusions There are the risk of the secondary transmission induced by imported malaria in Jiangxi Province. The high risk of the secondary transmission is shown in the areas with more floating population and weaker intervention capacity.

Key words: Malaria; Imported; Risk assessment; Secondary transmission; Jiangxi Province

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