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

吸毒者和其他高危人群艾滋病毒预防的分子流行病学

• 批准号: 9103060
• 负责人: David Mitchell Smith
• 金额: $ 76.73万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2017-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9103060
• 关键词: AIDS prevention; Acute; Bioinformatics; California; Catchment Area; Clinical; Communities; Data; Data Sources; Databases; Drug user; Education; Epidemic; Goals; HIV; HIV Infections; Health Insurance Portability and Accountability Act; Individual; Infection; Institution; Location; Maps; Molecular Epidemiology; Needle-Exchange Programs; Phylogenetic Analysis; Prevention; Public Health; Research; Resources; Risk; Signal Transduction; Structure; System; Time; Universities; Update; Viral; improved; prevent; repository; screening; transmission process

The goal of this project is to integrate subject data from local research, clinical and public health entities that are screening for and treating HIV infected individual. Data from these sources will be obtained in a de‐identified manner, parsed and then organized into a HIPAA compliant database containing socio‐demographic, geographic and phylogenetic information for each subject. The database will be set up to update itself in real‐time as new HIV infections are identified in our catchment area. In addition, we will use the viral sequence data to map out the phylogenetic network structure of our local epidemic. We will utilize a background of nationwide sequences obtained HIV sequence repositories to improve the signal in our phylogenetic structures, and use Bayesian maximum likelihood analysis to build these networks in a robust manner, leveraging the bioinformatics expertise at our institution, the University of California, San Diego. We will also update this network structure in a real‐time fashion as new infections are identified. Finally we will use this constructed surveillance system to map the socio‐demographic, geographic and phylogenetic locations of newly identified acute and early HIV infections, and use this information to direct community specific prevention resources (i.e. needle exchange, education resources etc…) with the ultimate goal of preventing HIV transmission clusters from developing or expanding.

该项目的目标是整合来自当地研究、临床和公共的主题数据 筛查和治疗艾滋病毒感染者的卫生实体。数据来自这些 源将以去识别化的方式获取、解析，然后组织成 HIPAA 包含社会人口统计、地理和系统发育信息的合规数据库 对于每个主题。该数据库将根据新的艾滋病毒感染情况实时更新 在我们的集水区已确定。此外，我们将使用病毒序列数据来绘制图谱 找出我们当地流行病的系统发育网络结构。我们将利用背景 全国序列获得了 HIV 序列存储库，以改善我们的信号 系统发育结构，并使用贝叶斯最大似然分析来构建这些 利用我们机构的生物信息学专业知识，以强大的方式建立网络， 加州大学圣地亚哥分校。我们也会实时更新这个网络结构 随着新感染的发现而流行。最后我们将使用这个构建的监视 绘制新物种的社会人口、地理和系统发育位置的系统 识别急性和早期艾滋病毒感染，并利用这些信息指导社区 与特定预防资源（即针具交换、教育资源等） 最终目标是防止艾滋病毒传播群的发展或扩大。