A social network approach to estimating seroprevalence in the United States
A social network approach to estimating seroprevalence in the United States
复制标题
DOI：
10.1016/s0378-8733(96)00305-x
复制
发表时间：
1998-01-01
期刊：
影响因子：
3.1
通讯作者：
Bernard, HR
中科院分区：
文献类型：
--
作者：
Killworth, PD;Johnsen, EC;Bernard, HR
来自佛罗里达的受访者的代表性调查的结果，关于他们的个人网络的成员的知识，特别是有多少人受访者知道在选定的亚群。我们采用了一种称为“网络扩展方法”的方法。通过使用已知大小的亚群集合，并询问一个未知大小的亚群（血清阳性的亚群），我们对个人网络大小和血清阳性亚群的大小进行了各种估计。我们最好的（最大似然，无偏）估计是108个成员的网络定义为“在过去两年中一直接触”，和（大约无偏）160万血清阳性亚群。由于佛罗里达的艾滋病（因此可能是血清阳性）比例过高，大约是2倍，后一种估计可能是高估了。(C)1998年Elsevier Science B.V.
Results from a representative survey of respondents in Florida are given, concerning their knowledge about members of their personal network, and specifically how many people respondents know in selected subpopulations. We employ a method known as a "network scale-up method". By using a collection of subpopulations of known size, and also asking about one subpopulation (those who are seropositive) of unknown size, we make various estimates of personal network size and the size of the seropositive subpopulation. Our best (maximum Likelihood, unbiased) estimates are 108 members of the network defined by "having been in contact with during the previous two years", and (approximately unbiased) 1.6 million for the seropositive subpopulation. Because of the proportional over-representation of AIDS (and presumably, therefore, seropositive) in Florida, by a factor of about two, this latter estimate could be an overestimate. (C) 1998 Elsevier Science B.V.