黄丽花, 陈晓明, 陈志娟, 陆梅泾, 游义婷, 刘宇珠, 许欣荣, 张弦中, 丁继璋. 利用提名法和乘数法对云南省大理州吸毒人群规模进行调查研究[J]. 疾病监测, 2007, 22(9): 616-618. DOI: 10.3784/j.issn.1003-9961.2007.9.616
引用本文: 黄丽花, 陈晓明, 陈志娟, 陆梅泾, 游义婷, 刘宇珠, 许欣荣, 张弦中, 丁继璋. 利用提名法和乘数法对云南省大理州吸毒人群规模进行调查研究[J]. 疾病监测, 2007, 22(9): 616-618. DOI: 10.3784/j.issn.1003-9961.2007.9.616
HUANG Li-hua, CHEN Xiao-ming, CHEN Zhi-juan, LU Mei-jing. et al., . Investigation on the scale of drug user population in Dali Prefecture, Yunnan Province[J]. Disease Surveillance, 2007, 22(9): 616-618. DOI: 10.3784/j.issn.1003-9961.2007.9.616
Citation: HUANG Li-hua, CHEN Xiao-ming, CHEN Zhi-juan, LU Mei-jing. et al., . Investigation on the scale of drug user population in Dali Prefecture, Yunnan Province[J]. Disease Surveillance, 2007, 22(9): 616-618. DOI: 10.3784/j.issn.1003-9961.2007.9.616

利用提名法和乘数法对云南省大理州吸毒人群规模进行调查研究

Investigation on the scale of drug user population in Dali Prefecture, Yunnan Province

  • 摘要: 目的 通过对大理州吸毒人群规模调查及近年吸毒人群血清学、行为学监测资料,掌握吸毒人群HIV感染现状,为全面开展高危行为综合干预提供科学依据.方法 在12个县(市)利用提名-乘数法对吸毒人群进行规模调查;用估计结果及近年相关监测资料,用Workbook 2007版估计软件估计静脉吸毒人群中艾滋病病毒(HIV)感染数.结果 大理州目前有11 092名吸毒者,其中静脉吸毒8049人,占所有吸毒人员的72.57%.现存HIV感染者中5587人有静脉吸毒史.结论 提名法和乘数法是艾滋病流行相关高危人群规模估计较实用的方法,但应注意调查时间、指定机构在辖区的代表性、目标人群的识别及调查员培训和调查方法的标准化等因素,以减少评估结果的偏差.

     

    Abstract: Objective This study was conducted to investigate the scale of drug user population and learn the HIV infection of drug users Dali prefecture so as to provide science basis for comprehensive intervention for high risk behavior. Methods The scale of drug user population was investigated in the 12 counties(cities) using the nomination and multiple method, and the number of HIV infection among drug users was estimated with the Soft of Workbook 2007. Result There are 11 092 drug users totally in Dali Prefecture, in which 8049 injection drug users accounting for 72.57% of all. Now there are 5587 HIV infections among the drug users. Conclusion This research indicates that nomination and multiple method are all applicable and better tool, which are simple, convenient, reliable, cost-effective and labor saving in estimating the scale of high risk population related to HIV/AIDS infection. In order to decrease the bias of estimated result, we should pay attention to the influence of some factors on the result such as investigating time, representativeness of designated agencies, identification of target population and the standardization of investigation methods.

     

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