Abstract
吴志良,张悟澄,谈光庭.催化模型在日本血吸虫病血清流行病学的应用[J].Chinese journal of Epidemiology,1995,16(5):270-273
催化模型在日本血吸虫病血清流行病学的应用
Apptication of Catalytic Model in Sero-epidemiology of Schistosomiasis
Received:September 11, 1994  Revised:January 11, 1995
DOI:
KeyWord: 催化模型  日本血吸虫病  血清流行病学
English Key Word: Catalytic model  Schistosomiasis  Seroepidemiology
FundProject:
Author NameAffiliation
Wu Zhi-liang Immunoparasitology Research Center, Zhejiang Medical University, Hangzhou 310006 
Zhang Wu-cheng Immunoparasitology Research Center, Zhejiang Medical University, Hangzhou 310006 
Tan Guang-ting 湖南省湘阴县血防办公室 
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Abstract:
      应用简单催化模型及两级催化模型对血吸虫病两个流行区人群IgG及IgM阳性率年龄分布资料分别进行分析。重流行区和轻流行区的简单催化模型曲线方程分别为YA=0.876(1-e-0.048t)和YB=5.71(1-e-0.003t);两级催化模型曲线方程为YA=2.13(e-0.032t-e-0.047t)和YB=0.19(e-0.012t-e-0.075t)。结果显示拟合优度良好。两种催化模型分别适用分析IgG和IgM资料,能反映血吸虫病流行速度、状态、趋势及年龄分布等特点,为探讨影响流行的因素,评估防治效果和监测流行动态提供参考方法。此外,对IgG和IgM两种资料的结果分析表明IgM的意义更大。
English Abstract:
      The seroepidemiological data from two schistosomiasis japonica areas with different transmission levels was analysed using a Catalytic Model. The agespecific distribution of IgG antibody in the population of the two investigated settings was analysed with simple catalytic model, the curve equations are YA=0.876 (1-e-0.048t) and YB=5.71 (1-e-0.003t) respectively in the heavy-and mild -endemic areas. The age-specific distribution of IgM antibody was analysed with two-stage catalytic model, using a curve equations YA=2.13 (e-0.032t-e-0.047t) and YB=0.19 (e-0.012t-e-0.075t) respectively in both heavy-and mild-endemic areas. Based on the result of stool examination concurrently carried out with sera detection and the endemic situation in recent years, the results mentioned above were eligible for the analysis of seroepidemiological data on schistosomiasis to reveal the endemic situation, tendency and the characteristic of age-specific distribution, and in particular using a two-stage catalytic model to analyse IgM antibody. It could also be used for studies on endemic factors, evaluation on the efficiency of control programmes and for surveillance of endemicy.
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