Opportunities for HIV PrEP engagement using interconnected social and molecular network data through the characterization of high-risk Neisseria gonorrhoeae clusters

项目摘要/摘要 性和社交网络影响艾滋病毒和性传播感染的传播，并可被用作公共卫生工具 预防工作。艾滋病毒预防战略的影响，如预防接种和预防干预措施 性传播感染取决于这些性和社交网络的特点。在性和社交网络中， 人们通过他们的性或社会关系联系在一起，形成集群。来自感染性生物的基因组数据可以 用于构建传播网络，在性传播生物体的情况下，可以提供 有关性爱网络的信息。淋球菌(NG)感染是最常见的性传播疾病之一 是世界上最大的艾滋病毒感染者，也是艾滋病毒感染的潜在驱动力。NG传播可能代表较新的联系人 而不是艾滋病毒传播网络。NG序列数据已成功地用于研究传输和 可以被用来揭示对性网络的洞察。 在目标1中，我们将使用来自 细菌分离，将与详细的患者元数据和来自样本的社交网络数据合并 参与者在圣地亚哥最大的公共卫生诊所进行STI检测。我们将构建组合 使用指定的社交联系人和NG遗传距离和收集日期的社交和传播网络 新城疫病毒分离株。然后我们将评估HIV阳性群体和HIV阴性群体在社会分子中的桥梁作用 评估艾滋病毒传播风险的网络。在目标2中，我们将确定处于集群中的关联性，至少 一名艾滋病毒携带者，并将评估艾滋病毒感染的风险，以确定预防接种计划的候选人。通过组合 从每个网络的连接创建一个更完整的联系图景，我们可以确定哪些人可能 同时面临性传播感染和艾滋病毒的风险。这些结果将为公共卫生研究人员和 从业者关于如何最好地确定艾滋病毒预防接种和其他服务的优先次序。 拟议的研究将作为私人投资作为K01项目的一部分进行的工作的延伸 在加州大学圣地亚哥分校，旨在将艾滋病毒传播网络数据和NG相结合 传输网络数据。该项目是在与本提案不同的临床环境中进行的， 然而，通过该项目制定和试行的方法为目前的提案提供了基础， 现在还包括社交网络。本拟议研究将是第一个同时进行的研究 结合社会网络考察NG传输网络。这项研究的结果将有助于 改进了遏制艾滋病毒和性传播感染传播的战略。

Project Summary/Abstract Sexual and social networks impact the spread of HIV and STIs and can be used as a tool for public health prevention efforts. The impact of HIV prevention strategies, such as PrEP, and prevention interventions for STIs depend on the characteristics of these sexual and social networks. Within sexual and social networks, people are linked by their sexual or social ties to form clusters. Genomic data from infectious organisms can be used to construct transmission networks which, in the case of sexually transmitted organisms, can provide information about the sexual network. Neisseria gonorrhoeae (NG) infection is one of the most common STIs in the world, and a potential driver of HIV acquisition. NG transmission may represent a more recent contact than the HIV transmission network. NG sequence data have been successfully used to study transmission and can be used to reveal insights into sexual networks. In Aim 1, we will characterize NG transmission networks using whole genome sequencing data from the bacterial isolates which will be merged with detailed patient metadata and social network data from a sample of participants accessing STI testing at the largest San Diego Public Health clinic. We will construct combined social and transmission networks using named social contacts and NG genetic distances and collection dates of NG isolates. We will then assess bridging of HIV positive and HIV negative groups in the social-molecular network to evaluate HIV transmission risk. In Aim 2, we will identify correlates of being in a cluster with at least one person living with HIV and will assess risk of HIV acquisition to identify candidates for PrEP. By combining connections from each network to create a more complete picture of contact, we can identify those who may be at risk for both STIs and HIV. These results will provide evidence for public health researchers and practitioners on how best to prioritize HIV PrEP and other services. The proposed study will be carried out as an extension of work that the PI conducted as part of a K01 project at the University of California San Diego, which aimed to combine HIV transmission network data and NG transmission network data. That project was conducted in a different clinical setting as the present proposal, however the methodology developed and piloted through that project provides a basis for the current proposal, which now also includes social networks. The present proposed study will be the first to simultaneously examine NG transmission networks combined with social networks. The results from this study will contribute to improved strategies to curb the spread of HIV and STIs.