Molecular Epidemiology for HIV Prevention for Drug Users and Other Risk Groups

该项目的目标是整合来自当地研究、临床和公共卫生实体的数据 这些机构正在筛查和治疗艾滋病病毒感染者。这些数据将在一个de- 识别的方式，解析，然后组织成一个符合HIPAA的数据库，包含社会， 人口统计学、地理、报告的风险行为和病毒序列信息。数据库 将在发现新的艾滋病毒感染时实时更新自己，病毒序列数据将被 用于绘制本地流行病的系统发育网络，重点关注药物使用风险 组我们将利用全国范围内的艾滋病毒序列的背景， 可用的存储库，以改善我们的系统发育结构中的信号，并使用贝叶斯 最大似然分析以稳健的方式构建这些网络。最后，我们将使用 该系统将社会人口统计、地理、风险行为和系统发育数据映射到 新发现的急性和早期艾滋病毒感染的地点。这些结果将实时用于 确定与注射有关的艾滋病毒传播的微型社区和子网络 毒品或甲基苯丙胺的使用，我们将使用这些信息，以指导社区的具体 预防资源（即针具交换、艾滋病毒检测、教育等）最终目标是 防止艾滋病毒传播集群的发展或扩大，特别是在药物 利用社区。 具体目标

The goal of this project is to integrate data from local research, clinical and public health entities that are screening for and treating HIV infected persons. These data will be obtained in a de- identified manner, parsed and then organized into a HIPAA compliant database containing socio- demographic, geographic, reported risk behaviors and viral sequence information. The database will update itself in real-time as new HIV infections are identified, and viral sequence data will be used to map out the phylogenetic network of our local epidemic, focusing on drug using risk groups. We will utilize a background of nationwide HIV sequences obtained from publically available repositories to improve the signal in our phylogenetic structures and use Bayesian maximum likelihood analysis to build these networks in a robust manner. Finally, we will use this system to map the socio-demographic, geographic, risk behavior and phylogenetic data to locations of newly identified acute and early HIV infections. In real-time, these results will be used to identify micro-communities and sub-networks with HIV transmission associated with injection drugs or methamphetamine use, and we will use this information to direct community specific prevention resources (i.e. needle exchange, HIV testing, education, etc.) with the ultimate goal of preventing HIV transmission clusters from developing or expanding, particularly among substance using communities. Specific Aims