中国寄生虫学与寄生虫病杂志 ›› 2017, Vol. 35 ›› Issue (6): 626-628.

• 研究简报 • 上一篇    

基于模糊综合评价法的血吸虫病传播阻断后风险评估

孟晓军, 宗胜华, 高东林, 张轩, 钱燕华, 陆兵*()   

  1. 江苏省无锡市疾病预防控制中心,无锡 214023
  • 收稿日期:2017-05-18 出版日期:2017-12-30 发布日期:2018-01-10
  • 通讯作者: 陆兵
  • 基金资助:
    无锡市科技局重点项目(No. CSE31N1407);无锡市卫计委科教强卫工程项目(No. ZDXK009)

Risk assessment of schistosome infection after transmission interruption based on the fuzzy comprehensive evaluation method

Xiao-jun MENG, Sheng-hua ZONG, Dong-lin GAO, Xuan ZHANG, Yan-hua QIAN, Bing LU*()   

  1. Wuxi Center for Disease Control and Prevention, Jiangsu Province, Wuxi 214023, China
  • Received:2017-05-18 Online:2017-12-30 Published:2018-01-10
  • Contact: Bing LU
  • Supported by:
    Supported by the key project from Wuxi Municipal Science and Technology Bureau(No. CSE31N1407);project of Science and Education Strengthening Health from Wuxi Municipal Health and Family Planning Commission(No. ZDXK009)

摘要:

【提要】 采用德尔菲法构建无锡市血吸虫病传播阻断后的风险评估指标体系,利用模糊综合评价法进行风险评估。无锡市血吸虫病传播阻断后风险评估指标体系的一级指标包括自然环境、重点人群和社会环境,权重分别为0.370 6、0.292 9和0.336 5;二级指标有15个,其中来自血吸虫病流行区人口的权重最高,为0.125 2,散养家畜的权重最低,为0.037 1。无锡市传播阻断后血吸虫病风险评估得分为0.193 6,传播风险水平为较低。

关键词: 血吸虫病, 传播阻断, 风险评估, 模糊综合评价法

Abstract:

A risk assessment index system after schistosomiasis transmission interruption in Wuxi city was established by the Delphi method and transmission risk was assessed by the fuzzy comprehensive evaluation method. The risk assessment index system had primary indicators of natural environment, key populations and social environment, with normalized weights of 0.370 6, 0.292 9 and 0.336 5, respectively. Among the 15 secondary indicators secondary indicators, population from endemic areas of schistosomiasis had the highest combined weight of 0.125 2 while free-range livestock had the lowest combined weight of 0.037 1. The final analysis indicated a low level of schistosomiasis transmission risk after the interruption of transmission in Wuxi city, with a risk assessment score of 0.193 6.

Key words: Schistosomiasis, Transmission interruption, Risk assessment, Fuzzy comprehensive evaluation method

中图分类号: