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Estimating the population size of men who have sex with men: A modified Laska, Meisner and Siegel procedure taking into account internet populations

机译:估计与男性发生性关系的男性人口规模:考虑互联网人口的改良的Laska,Meisner和Siegel程序

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Objectives: Men who have sex with men (MSM) are an at-risk population for HIV/AIDS. Accurately estimating the size of MSM is important to monitor the HIV/AIDS epidemic and to implement HIV/AIDS prevention in the MSM population. None of the current methods for MSM population size estimation is satisfactory, especially for internet samples. We try to use the modified Laska, Meisner and Siegel (LMS) method to estimate the size of MSM in tangible venues and internet virtual venues. Methods: Laska, Meisner and Siegel developed an unbiased estimator for the size of a population in a single venue based on a single sample (LMS method). In this study, we modified the LMS method for the estimation of population size of MSM (LMS* procedure). Specially, we integrated the MSM size of traditional tangible venue with internet virtual venue. Currently, the latter is an important source of socialisation for MSM population. To do this, we added a few parameters to the original LMS method. Then we applied the LMS* procedure to estimate the size of MSM in Changsha, the capital city of the Chinese Province of Hunan. Results: The LMS* procedure handled the complexity of socialisation among MSM population well. According to the LMS* procedure, the total number of MSM was 65 657 (95% CI 57 922 to 73 388), constituting a proportion of 5.43% (95% CI 4.79% to 6.07%) in the sexually active male population (15-64-year-olds) in Changsha. Conclusions: We conclude that the LMS* procedure is suitable for the estimation of a hard-to-reach population, such as MSM, in tangible venues and internet virtual venues.
机译:目标:与男性发生性关系的男性是艾滋病毒/艾滋病的高危人群。准确估计男男性接触者的人数对于监测艾滋病毒/艾滋病的流行以及在男男性接触者人群中预防艾滋病毒/艾滋病很重要。当前用于MSM人口规模估计的方法均不能令人满意,特别是对于Internet样本。我们尝试使用改良的Laska,Meisner和Siegel(LMS)方法来估算有形场馆和互联网虚拟场馆中MSM的规模。方法:拉斯卡(Laska),迈斯纳(Meisner)和西格尔(Siegel)基于单个样本(LMS方法)针对单个场所中的人口规模开发了一个无偏估计量。在这项研究中,我们修改了LMS方法以估计MSM的人口规模(LMS *程序)。特别是,我们将传统有形场所的MSM规模与互联网虚拟场所进行了整合。当前,后者是MSM人群社交活动的重要来源。为此,我们在原始LMS方法中添加了一些参数。然后,我们应用LMS *程序估算了中国湖南省省会长沙市的MSM规模。结果:LMS *程序很好地解决了MSM人群中社会化的复杂性。根据LMS *程序,MSM总数为65 657(95%CI 57 922至73 388),占活跃于性活跃男性人口的比例为5.43%(95%CI 4.79%至6.07%)(15 -64岁)在长沙。结论:我们得出结论,LMS *程序适合于有形场所和互联网虚拟场所中难以到达的人群(例如MSM)的估计。

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