Wang Jun, Yang Ying, Zhao Wan, Su Hualin, Zhao Yanping, Chen Yue, Zhang Tao, Zhang Tiejun
Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China.
PLoS One. 2015 Nov 18;10(11):e0143118. doi: 10.1371/journal.pone.0143118. eCollection 2015.
Men who have sex with men (MSM) are at high risk of HIV infection. For developing proper interventions, it is important to know the size of MSM population. However, size estimation of MSM populations is still a significant public health challenge due to high cost, hard to reach and stigma associated with the population.
We aimed to estimate the social network size (c value) in general population and the size of MSM population in Shanghai, China by using the net work scale-up method.
A multistage random sampling was used to recruit participants aged from 18 to 60 years who had lived in Shanghai for at least 6 months. The "known population method" with adjustment of backward estimation and regression model was applied to estimate the c value. And the MSM population size was further estimated using an adjusted c value taking into account for the transmission effect through social respect level towards MSM.
A total of 4017 participants were contacted for an interview, and 3907 participants met the inclusion criterion. The social network size (c value) of participants was 236 after adjustment. The estimated size of MSM was 36354 (95% CI: 28489-44219) for the male Shanghaies aged 18 to 60 years, and the proportion of MSM among the total male population aged 18 to 60 years in Shanghai was 0.28%.
We employed the network scale-up method and used a wide range of data sources to estimate the size of MSM population in Shanghai, which is useful for HIV prevention and intervention among the target population.
男男性行为者(MSM)感染艾滋病毒的风险很高。为制定适当的干预措施,了解MSM人群规模很重要。然而,由于成本高、难以接触以及与该人群相关的污名化问题,MSM人群规模估计仍是一项重大的公共卫生挑战。
我们旨在通过网络扩大法估计中国上海普通人群的社交网络规模(c值)和MSM人群规模。
采用多阶段随机抽样方法招募年龄在18至60岁、在上海居住至少6个月的参与者。应用调整后的反向估计和回归模型的“已知人群法”来估计c值。并使用考虑到社会对MSM的尊重程度的传播效应的调整后c值进一步估计MSM人群规模。
共联系了4017名参与者进行访谈,3907名参与者符合纳入标准。调整后参与者的社交网络规模(c值)为236。18至60岁上海男性中MSM的估计规模为36354(95%CI:28489-44219),上海18至60岁男性总人口中MSM的比例为0.28%。
我们采用网络扩大法并利用广泛的数据源来估计上海MSM人群规模,这对目标人群中的艾滋病毒预防和干预很有用。