中国寄生虫学与寄生虫病杂志

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基于抗体阳性率的催化模型评估血吸虫病的传播风险

王强,冯婷,秦志强,祝红庆,张利娟,许静*   

  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,卫生部寄生虫病原与媒介生物学重点实验室,上海200025
  • 出版日期:2016-10-30 发布日期:2016-11-09

Risk Assessment of Schistosomiasis Transmission by Catalytic Models Based on Antibody Positive Rates

WANG Qiang, FENG Ting, QIN Zhi-qiang, ZHU Hong-qing, ZHANG Li-juan, XU Jing*   

  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, Ministry of Health; Shanghai 200025, China
  • Online:2016-10-30 Published:2016-11-09

摘要: 目的 运用催化模型分析抗血吸虫抗体阳性率资料,评估血吸虫病传播风险和特征。 方法 2008年对江西(曹会村、新华村、井头村)、安徽(渔业村、铁拐村、垅上村)、湖北(河北村)等3个省的7个血吸虫病不同流行程度的行政村开展横断面调查,采集当地6~65岁的常住居民静脉血,血清用间接红细胞凝集试验检测居民抗血吸虫抗体IgG,计算不同流行村、性别、年龄组的抗体阳性率,并进行组间差异分析。用两级催化模型、可逆两级复合催化模型分别对各个流行村不同年龄组的抗体阳性率资料进行分析;使用最大似然比方法估计模型参数,两级催化模型估计血清学转化率、血清学失去率;可逆两级复合催化模型估计血清学转化率、血清学失去率和血清学逆转率。用卡方检验和相关性分析评价模型的拟合效果,确定各流行村抗体阳性率资料的最佳催化模型,绘制拟合曲线。用最佳模型估计的参数分析各村血吸虫病传播风险。 结果 7个流行村共调查有效人群6 428人,受检人群的抗血吸虫抗体阳性率平均为39.80%(2 485/6 428)。按年龄组分,曹会村、新华村、井头村、渔业村、铁拐村、垅上村、河北村的抗体阳性率最高峰分别出现在46~50、31~35、31~35、41~45、51~55、56~60和16~20岁组,分别为82.86%(58/70)、60.78%(31/51)、68.42%(26/38)、55.04%(71/129)、62.38%(63/101)、31.43%(33/105)和21.88%(7/32)。各行政村抗体阳性率总体上随年龄增加呈先升后降趋势。曹会村、新华村、井头村和渔业村抗体阳性率资料的最佳拟合模型为两级催化模型,血清学转化率分别为0.049 5、0.044 0、0.055 7和0.034 4,均远高于其血清学失去率(0.005 9、0.019 6、0.015 5和0.017 8)。垅上村、铁拐村以及河北村血清学资料的最佳拟合模型为可逆两级复合催化模型,血清学转化率分别为0.062 9、0.168 1和0.039 4,血清学逆转率和失去率分别为0.168 8、0.121 1、0.152 2和0.001 7、0.000 2、0.090 9。 结论 基于年龄组别的抗体阳性率资料构建的催化模型可以反映血吸虫病在人群中的传播速率和风险,并为今后的防治策略提供参考。

关键词: 血吸虫病, 年龄组别, 血清学转化率, 两级催化模型, 复合催化模型

Abstract: Objective To evaluate the transmission risk and features of schistosomiasis by analyzing the data concerning positive rates of anti-schistosome antibody using catalytic models. Methods Cross-sectional survey was conducted in seven villages with different endemicity of schistosomiasis in Jiangxi (Caohui, Xinhua, Jingtou villages), Anhui(Yuye, Tieguai, Longshang villages) and Hubei(Hebei village) Provinces in 2008. Serum samples were collected and indirect hemagglutination assay was performed to detect anti-schistosome antibodies in serum. Antibody positive rate was calculated and differences among villages and age groups as well as between genders were analyzed. Data of antibody positive rate based on age strata for each village were analyzed by two-stage catalytic model and reversible and two-stage compound catalytic model. Parameters of each model were estimated through the maximum likelihood method. Seroconversion rate and sero-negative conversion rate were estimated in the two-stage catalytic model. Seroconversion rate, seroreversion rate and sero-negative conversion rate were estimated in reversible and two-stage compound catalytic model. The fitting effect was evaluated through correlation analysis and chi-square tests. The best fitted models and parameters were used to analyze the transmission risk and characteristics of schistosomiasis. Results A total of 6 428 individuals were examined with an average schistosomiasis antibody positive rate of 39.80%(2 485/6 428). In terms of age, the peak of antibody positive rate in Caohui, Xinhua, Jingtou, Yuye, Tieguai, Longshang, and Hebei villages occurred in the age group of 46-50 (82.86%, 58/70), 31-35 (60.78%, 31/51), 31-35 (68.42%, 26/38), 41-45(55.04%, 71/129), 51-55 (62.38%, 63/101), 56-60 (31.43%, 33/105), and 16-20 (21.88%, 7/32) years old, respectively. In general, the antibody positive rate showed a trend of increase followed by a decrease with increasing age in each village. The best model for the data of Caohui, Xinhua and Jingtou and Yuye village was the two-stage catalytic model. The estimated seroconversion rate in these villages was 0.049 5, 0.044 0, 0.055 7, and 0.034 4 respectively, all higher than the corresponding sero-negative conversion rate of 0.005 9, 0.019 6, 0.015 5, and 0.017 8. The best model for the data of Longshang, Tieguai and Hebei villages was the reversible and two-stage compound model. The seroconversion rate in these villages was 0.062 9, 0.168 1, and 0.039 4 respectively, the seroreversion rate was 0.168 8, 0.121 1, and 0.152 2, and the sero-negative conversion rate was 0.001 7, 0.000 2, and 0.090 9. Conclusions The catalytic model based on antibody positive rate by age strata could reflect the transmission rate and risk quantitatively and may provide guidance for making control strategies.

Key words: Schistosomiasis, Age strata, Seroconversion rate, Two-stage catalytic model, Compound catalytic model