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Harnessing digital data and data science to achieve 90-90-90 goals to end the HIV epidemic

机译:利用数字数据和数据科学实现90-90-90目标,以结束艾滋病病毒疫情

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摘要

Purpose of review Effective public health interventions depend on timely, accurate surveillance. Harnessing digital data (including internet searches, social media, and online media) and data science is an emerging approach to complement traditional surveillance in public health but has been underutilized in HIV prevention and treatment. Recent findings We highlight recent examples that illustrate how social media data can be applied to HIV surveillance and prevention interventions. To achieve 90-90-90 goals to end the HIV epidemic, we encourage traditional public health researchers to partner with data scientists to supplement HIV surveillance programs with social media analytics to refine estimates of HIV infections and key populations at risk and to identify subgroups and regions where prevention and treatment efforts need to be bolstered. We also encourage interdisciplinary teams to design interventions to promote HIV prevention and linkage to care by leveraging digital media, such as search engines and social media, that have the potential to reach millions of people instantaneously.
机译:审查有效的公共卫生干预措施的目的依赖于及时,准确的监测。利用数字数据(包括互联网搜索,社交媒体和在线媒体)和数据科学是一种新兴的公共健康中传统监测的新兴的方法,但已在艾滋病毒预防和治疗中未充分利用。最近的发现,我们突出了最近的例子,说明社交媒体数据如何应用于艾滋病毒监测和预防干预措施。为了实现90-90-90进球,以结束艾滋病病毒流行病,我们鼓励传统的公共卫生研究人员与数据科学家合作,以补充艾滋病毒监测计划与社交媒体分析进行补充,以改善艾滋病病毒感染和面临风险的关键种群的估计,并识别亚群和征兆需要加强预防和治疗努力的地区。我们还鼓励跨学科团队设计干预措施,以通过利用数字媒体(如搜索引擎和社交媒体)促进艾滋病毒预防和联系,这些媒体有可能瞬间达到数百万人。

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