马来丝虫病

  • 网络Malayan filariasis
马来丝虫病马来丝虫病
  1. 防治后期马来丝虫病传播动态观察

    Observation on Transmitting Situation of Malayan Filariasis in Area of Basical Elimination

  2. 马来丝虫病防治后期残存微丝蚴血症者传播作用的纵向观察

    Study on transmission role of residual microfilaremia in late stage of malayan filariasis control program

  3. 广西桂林地区班氏、马来丝虫病监测评价

    Evaluation of surveillance on filariasis in Guilin region , Guangxi

  4. 马来丝虫病不同巩固防治与净化措施的远期效果分析

    Long-term Effect Analysis of Different Control Measures of Filariasis

  5. 马来丝虫病特异性诊断抗原研究

    Studies on specific diagnostic antigen for filariasis

  6. 马来丝虫病防治后期人群传染性指数分析

    Analysis of infectivity index of total population in late stage of control program of malayan filariasis

  7. 在达到基本消灭丝虫病地区,马来丝虫病传播流行呈下降态势,防治措施可以?

    A decline trend of the transmission of malayan filariasis , therefore , has been exhibited .

  8. 马来丝虫病流行区防治后期年传播潜势的纵向观察

    A longitudinal observation on annual transmission potential in malayan filariasis endemic areas at late stage of the control program

  9. 雷氏按蚊嗜人亚种与中华按蚊传播福建马来丝虫病能力的比较研究

    Comparative studies on the capability of transmission of malayan filariasis between Anopheles LESTERI anthropophagus and Anopheles sinensis in Fujian

  10. 结果广东省67个县(市、区)有丝虫病流行,仅平远县为马来丝虫病流行区,其余为班氏丝虫病流行区。防治前人群平均微丝蚴率为3.05%,微丝蚴血症者200万人。

    W Results Before filariasis control , it was prevalent in 67 counties in Guangdong Province , the microfilarial rate was 3.05 % and the number of microfilaremias was estimated about 2 millions .

  11. 观察了四川各地53例班氏丝虫病和21例马来丝虫病的微丝蚴周期性。

    This paper reported on the periodicity of microfilariae in the blood of 53 cases with bancroftian filariasis and 21 cases with malayan filariasis in various parts of Sichuan Province . The periodicity indices of the mf . of W.

  12. 根据1985、1987、1988和1996年4次在马来丝虫病观察区收集的数据,计算分析了人群传染性指数(IT),从1985年的0.1621%逐年减至0.0309%、0.0260%和0.0058%;

    According to the data collected from malayan filariasis observation area in Leshan City , Sichuan , during the year of 1985 , 1987 , 1988 and 1996 , infectivity index of total population ( IIT ) has been calculated and analysed .