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作 者:高建华[1] 汪宁[2] 杨忠民[3] 施小明[4] 钱汉竹 张玉良 贾望谦[7] 徐翠玲[8] 郑锡文[2]
机构地区:[1]北京市疾病预防控制中心信息统计中心,100013 [2]中国疾病预防控制中心性病艾滋病预防控制中心 [3]中国协和医科大学艾滋病研究中心 [4]中国疾病预防控制中心慢性病防治与社区卫生处 [5]Division of Preventive Medicine/Department of Medicine,University of Alabama at Birmingham [6]山西省闻喜县卫生局 [7]闻喜县疾病预防控制中心 [8]中国疾病预防控制中心病毒病预防控制所
出 处:《中华流行病学杂志》2007年第7期656-658,共3页Chinese Journal of Epidemiology
基 金:美国国立卫生研究院国家传染病与变态反应性研究所资助项目(U19A151915)
摘 要:目的了解12个既往有偿献血村艾滋病病毒(HIV)传播潜在危险性。方法选择12个村的HIV感染率、丙型肝炎病毒感染率、献血(浆)员比例、艾滋病知识、性乱行为发生情况和既往病例报告数等7个指标,运用秩和比法(RSR)对各村HIV传播潜在危险性进行综合评价。结果根据专家评价,HIV感染率权重系数最高(0.28),艾滋病知识回答正确率权重系数最低(0.09);RSR综合评价结果为:01和02号村发生HIV传播的潜在危险性较大,03、05、09、10和12号村属于中等,04、06、07、08和11号村发生HIV传播的潜在危险性较低。结论12个既往有偿献血村HIV传播潜在危险性不同,应根据分类指导的原则采取不同的艾滋病防治措施。Objective To learn the potential risk for human immunodeficiency virus(HIV) infection in 12 villages with a history of former paid blood donation,and to provide different measures for HIV/AIDS prevention and control. Methods Seven indexes were selected, including HIV sero-prevalence rates, hepatitis C virus(HCV) sero-prevalence rates, HIV/AIDS KAB(knowledge, attitude and belief), proportion of paid blood/plasma donation, risks on related behavioral information on sex and HIV/AIDS infections. Rank Sum Ratio (RSR) was performed to synthetically evaluate the potential risk of HIV infection in those 12 selected villages. Results According to the results of evaluation by 18 experts, weight coefficient of HIV sero-preva[ence rate was the highest ( 0.28 ), and HIV/AIDS KAB the lowest ( 0.09 ) among the seven indexes. The results of comprehensive evaluation with RSR showed that the villages coded 01 and 02 belonged to higher level of potential risk of HIV infection, villages 09,12,05,10 and 03 were at medium level while villages 04,06,08,07 and 11 were at low level. Conclusion The level of potential risk for HIV infection was different in 12 villages with a history of former paid blood donation. Different measures of HIV/AIDS prevision and control should be performed according to the potential risk level for HIV infection of the 12 villages.
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