Population Size Estimation of Gay and Bisexual Men and Other Men Who Have Sex With Men Using Social Media-Based Platforms.
Population Size Estimation of Gay and Bisexual Men and Other Men Who Have Sex With Men Using Social Media-Based Platforms.
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DOI：
10.2196/publichealth.9321
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发表时间：
2018-02-08
影响因子：
8.5
通讯作者：
Millett G
中科院分区：
文献类型：
--
作者：
Baral S;Turner RM;Lyons CE;Howell S;Honermann B;Garner A;Hess R III;Diouf D;Ayala G;Sullivan PS;Millett G
男同性恋、双性恋和其他顺性别男性与男性发生性关系（GBMSM）受艾滋病毒流行的影响不成比例。传统上，GBMSM被认为在艾滋病毒流行更为普遍的低收入和中等收入环境中与艾滋病毒流行的相关性较低。这（部分）是由于人口规模估计对确定为GBMSM的人数的重要性，以告知艾滋病毒预防，治疗和护理计划和覆盖范围的发展和监测。然而，普遍存在的污名化和同性行为和关系的刑事定罪提供了一个具有挑战性的环境人口统计，这些因素已与令人难以置信的低或不存在的GBMSM规模估计，从而限制了知识的动态艾滋病毒传播和解决GBMSM方案的实施。这项研究利用了面向男同性恋者的社交应用程序（大黄蜂）和Facebook成员的数量估计，这些成员使用自我报告的男性，男性和女性的关系兴趣，以及至少有一个报告的同性兴趣。结果按居住国分类，以验证五大洲13个国家的GBMSM官方规模估计。数据是通过大黄蜂同性恋社交网络收集的，并通过使用先验确定的框架来估计与南非、加纳、尼日利亚、塞内加尔、科特迪瓦、毛里塔尼亚、冈比亚、黎巴嫩、泰国、马来西亚、巴西、乌克兰和美国的GBMSM相关的Facebook会员数量。这些估计数与联合国艾滋病毒/艾滋病联合规划署（艾滋病规划署）最近的估计数和143个国家的国家估计数进行了比较。利用社交媒体应用程序对各国GBMSM人数的估计一直远远高于联合国艾滋病规划署的官方估计。使用Facebook，也可以评估13-17岁的GBMSM人数，这些人的比例与老年男子的比例相似。Facebook对GBMSM的估计与联合国艾滋病规划署报告的各国估计相比具有更大的一致性。利用社交媒体满足流行病学和艾滋病毒预防、治疗和护理需求的能力不断提高。在这里，一种利用Facebook上不同类别的同性兴趣的方法，结合一个特定的面向同性恋的应用程序（大黄蜂），显示出比官方报告的估计高得多的估计。虽然这种方法存在偏差，但这些数据强化了使用多种方法来计算GBMSM数量的必要性（特别是在更污名化的环境中），以更好地为数学模型和艾滋病毒计划覆盖范围提供信息。此外，这些估计可以为13-17岁的人提供信息;这一群体的艾滋病毒发病率最高，艾滋病毒预防计划覆盖率，包括暴露前预防（PrEP）的可用性最低。总之，这些结果突出了社交媒体提供大范围国家GBMSM数量可比估计的潜力，包括一些没有报告估计的国家。
Gay, bisexual, and other cisgender men who have sex with men (GBMSM) are disproportionately affected by the HIV pandemic. Traditionally, GBMSM have been deemed less relevant in HIV epidemics in low- and middle-income settings where HIV epidemics are more generalized. This is due (in part) to how important population size estimates regarding the number of individuals who identify as GBMSM are to informing the development and monitoring of HIV prevention, treatment, and care programs and coverage. However, pervasive stigma and criminalization of same-sex practices and relationships provide a challenging environment for population enumeration, and these factors have been associated with implausibly low or absent size estimates of GBMSM, thereby limiting knowledge about the dynamics of HIV transmission and the implementation of programs addressing GBMSM. This study leverages estimates of the number of members of a social app geared towards gay men (Hornet) and members of Facebook using self-reported relationship interests in men, men and women, and those with at least one reported same-sex interest. Results were categorized by country of residence to validate official size estimates of GBMSM in 13 countries across five continents. Data were collected through the Hornet Gay Social Network and by using an a priori determined framework to estimate the numbers of Facebook members with interests associated with GBMSM in South Africa, Ghana, Nigeria, Senegal, Côte d'Ivoire, Mauritania, The Gambia, Lebanon, Thailand, Malaysia, Brazil, Ukraine, and the United States. These estimates were compared with the most recent Joint United Nations Programme on HIV/AIDS (UNAIDS) and national estimates across 143 countries. The estimates that leveraged social media apps for the number of GBMSM across countries are consistently far higher than official UNAIDS estimates. Using Facebook, it is also feasible to assess the numbers of GBMSM aged 13-17 years, which demonstrate similar proportions to those of older men. There is greater consistency in Facebook estimates of GBMSM compared to UNAIDS-reported estimates across countries. The ability to use social media for epidemiologic and HIV prevention, treatment, and care needs continues to improve. Here, a method leveraging different categories of same-sex interests on Facebook, combined with a specific gay-oriented app (Hornet), demonstrated significantly higher estimates than those officially reported. While there are biases in this approach, these data reinforce the need for multiple methods to be used to count the number of GBMSM (especially in more stigmatizing settings) to better inform mathematical models and the scale of HIV program coverage. Moreover, these estimates can inform programs for those aged 13-17 years; a group for which HIV incidence is the highest and HIV prevention program coverage, including the availability of pre-exposure prophylaxis (PrEP), is lowest. Taken together, these results highlight the potential for social media to provide comparable estimates of the number of GBMSM across a large range of countries, including some with no reported estimates.
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影响因子：
15.8
作者：
Amon JJ;Baral SD;Beyrer C;Kass N
通讯作者：
Kass N
影响因子：
168.9
作者：
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DOI：
10.1080/09540120701237244
发表时间：
2007-07-01
影响因子：
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作者：
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Mustanski, B. S.
影响因子：
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影响因子：
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作者：
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Cage, M