%0杂志文章%@ 2561-326X %I JMIR出版物%V 6% 卡塔尔世界杯8强波胆分析N 10% P 37982 %T社会媒体传播和网络与黑人性少数男性艾滋病感染和传播风险的相关性:横截面数字流行病学研究%A Young,Lindsay E %A Tang,Jack Lipei %A Nan，袁飞雪%+南加州大学Annenberg传播与新闻学院，洛杉矶3502瓦路，CA, 90089，美国，1 610 331 1930，lindsay.young@usc.edu %K HIV监测%K HIV预防%K数字流行病学%K社交媒体%K社交网络%K性少数男性%K与男性发生性关系的男性%D 2022 %7 20.10.2022 %9原始论文%J JMIR表格Res %G英文%X背景:在美国，HIV不成比例地影响黑人性少数男性(BSMM)。尽管流行病学和行为监测对于确定BSMM存在艾滋病毒感染和传播风险是不可或缺的，但过度依赖自我报告数据、无法观察社会背景以及忽视对卫生保健系统参与有限的人群限制了其有效性。利用社交媒体数据的数字流行病学方法提供了一个克服这些限制的机会，即在有机环境中被动地观察表明健康风险但难以捕捉的活动、信仰、行为和情绪。目的:这项研究的主要目的是确定Facebook交流和网络的特征是否与艾滋病毒感染和传播风险的生物学、行为和心理指标相关。方法:从居住在芝加哥的18至35岁的BSMM (N=310)中收集Facebook和调查数据。参与者的Facebook帖子使用4个与BSMM中艾滋病毒保护和风险相关的文化定制主题词典进行了描述(性健康;物质使用;性行为; and ballroom culture, a salient subculture in lesbian, gay, bisexual, transgender, and queer communities of color). Social network methods were used to capture structural features of BSMM’s Facebook friendships (centrality, brokerage, and local clustering) and Facebook group affiliations. Multivariable regressions revealed relationships between these Facebook features and 5 ground truth indicators of HIV infection and transmission risk (sexually transmitted infection incidence, condomless sex, sex drug use, biomedical prevention, and depression). Results: Although analysis of participants’ Facebook posts revealed that HIV-related topics occupied a small portion of the total messages posted by each participant, significant associations were found between the following HIV risk indicators and Facebook features: Condomless sex, including communication about sexual health (odds ratio [OR] 1.58, 95% CI 1.09-2.29), ballroom culture (OR 0.76, 95% CI 0.63-0.93), and friendship centrality (OR 0.69, 95% CI 0.52-0.92); Sex drug use, including communication about substance use (OR 1.81, 95% CI 1.17-2.79) and friendship centrality (OR 0.73, 95% CI 0.55-0.96) and brokerage (OR 0.71, 95% CI 0.51-0.99); Biomedical prevention, including communication about ballroom culture (OR 0.06, 95% CI 0.01-0.71); and Depression, including communication about sexual health (β=–0.72, 95% CI −1.42 to −0.02), ballroom culture (β=.80, 95% CI 0.27-1.34), friendship centrality (β=−0.90, 95% CI −1.60 to −0.21), and Facebook group affiliations (β=.84, 95% CI 0.25-1.43). Facebook features provided no significant explanatory value for sexually transmitted infection incidence. Conclusions: Finding innovative strategies to detect BSMM at risk of contracting or transmitting HIV is critical to eliminating HIV disparities in this community. The findings suggest that social media data enable passive observance of social and communicative contexts that would otherwise go undetected using traditional HIV surveillance methods. As such, social media data are promising complements to more traditional data sources. %M 36264617 %R 10.2196/37982 %U https://formative.www.mybigtv.com/2022/10/e37982 %U https://doi.org/10.2196/37982 %U http://www.ncbi.nlm.nih.gov/pubmed/36264617