Shokoohi Mostafa, Baneshi Mohammad Reza, Haghdoost Ali Akbar
MSc in Epidemiology, Kerman Physiology Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Assistant Professor of Biostatistics, Regional Knowledge Hub for HIV/AIDS Surveillance, Kerman University of Medical Sciences, Kerman, Iran.
Addict Health. 2010 Summer-Autumn;2(3-4):81-8.
Estimation of the size of hidden and hard-to-reach sub-populations, suchas drug-abusers, is a very important but difficult task. Network scale up(NSU) is one of the indirect size estimation techniques, which relies onthe frequency of people belonging to a sub-population of interest amongthe social network of a random sample of the general population. In thisstudy, we estimated the social network size of Kermanian males (C) asone of the main prerequisites for using NSU.
A 500 random sample of Kermanian males between 18 and 45 years oldwere interviewed. We asked the size of their active networks using directquestions. In addition, we received the frequency of six names from thevital registry office among Kermanian males, and we estimated Cindirectly using the received frequencies and the frequency of thesenames among the networks of our sample.
Although different methods showed quite different Cs between 100 and350, the best estimation for C was 303, which means that on average eachKermanian male knows around 303 males between the age range of 18 and45 years. The estimated C did not have any strong association with thedemographic variables of our subjects.
Using the estimated C we may use the NSU technique to assess thefrequency of many important hidden sub-populations such as drugabusersand those who have sexual contact with men and women.
估计隐藏的、难以接触到的亚人群规模,如吸毒者,是一项非常重要但困难的任务。网络扩大法(NSU)是一种间接规模估计技术,它依赖于在普通人群随机样本的社会网络中属于感兴趣亚人群的人的频率。在本研究中,我们估计了克尔曼男性(C)的社会网络规模,这是使用NSU的主要前提条件之一。
对500名年龄在18至45岁之间的克尔曼男性进行了随机抽样访谈。我们通过直接提问询问了他们活跃网络的规模。此外,我们从生命登记办公室获得了克尔曼男性中六个名字的出现频率,并利用所获得的频率以及这些名字在我们样本网络中的频率间接估计C。
尽管不同方法得出的C在100到350之间差异很大,但对C的最佳估计值为303,这意味着平均每名克尔曼男性认识大约303名年龄在18至45岁之间的男性。估计出的C与我们研究对象的人口统计学变量没有任何强关联。
利用估计出的C,我们可以使用NSU技术来评估许多重要隐藏亚人群的频率,如吸毒者以及与男性和女性有性接触的人群。