COMPUTER MODEL DVMT: CELLULAR & POPULATION AIDS EPIDEMIOLOGY: AFRICAN AMERICANS

这个项目由三个相互关联和相辅相成的部分组成 生物医学计算基础设施开发活动， 研究和推广。研究部分集中在计算机上 以科学实验为基础，目前被称为 计算流行病学。我们的目标是在我们现有的基础上 在流行病学建模和生物医学领域的实力 信息管理系统。这项研究将强调 CD_4~+淋巴细胞数量和数量的综合计算模型 HIV病毒载量相互作用，以检查影响 干预(药物)疗法单独和/或组合。 目标是：a)加强和扩大生物医学 塔斯基吉大学用于研究的计算基础设施；b)携带 将理论和临床相结合的HIV/CD4+细胞研究 人口相互作用和使用计算模型来 评估抗逆转录病毒干预策略，重点是 非裔美国人；以及，c)通过创建虚拟 卫生信息资源，重点关注少数民族的健康， 以互联网和VAW为主要模式 沟通和信息共享。该项目将在#年进行。 分两个阶段。在第一阶段(1-2年)，协作和数据库 突出发展。与伊利诺伊大学合作 阿拉巴马州医学院，那里有广泛的H1V/Al1DS临床研究 正在实施中，Wlill提供了临床和分子方面的访问 将用于建模研究的实验室数据。同相 H(2-5年级)，基于高级COMP的流行病学建模研究 将进行发声方法。在这两个阶段，外展和 用于创建虚拟健康信息的基础架构组件 将创建资源。它将作为推进的核心资源 生物医学科学研究和教育；促进合作 研究；使人们能够通过互联网和 WWW，并提供计算建模实验室 本科生和研究生，包括即将成为 攻读博士学位。

This project consists of three interrelated and complimentary activities of biomedical computing infrastructure development, research and outreach. The research component focuses on computer based scientific experimentation currently referred to as computational epidenuiology. The goal is to build on our existing strength in the area of epidemiologic modeling and biomedical information management systems. The research will emphasizes integrative computational models for CD4+ lymphocyte populations and HIV viral load interactions so as to examine the effect of intervention (drug) therapies individually and/or in combinations. The objectives are to: a) strengthen and expand the biomedical computing infrastructure for research at Tuskegee University; b) carry out research that combines theoretical and clinical HIV/CD4+ cell population interactions and to use the computational models to evaluate antiretroviral intervention strategies with a focus on African Americans; and, c) provide outreach by creating a Virtual Health Information Resource with a focus on the health of minorities, relying on the Internet and the VAW as the primary- mode for communication and information sharing. The project will proceed in two phases. In Phase I (years 1-2), collaboration and database development will be emphasized. Collaboration with the University of Alabama Medical School, where extensive clinical H1V/Al1DS studies are being carried out, Wlill provide access to clinical and molecular laboratory data that will be used in the modeling research.. In Phase H (years 2-5), epidemiologic modeling research based on advanced comp utational methods will be conducted. In both phases, an outreach and infrastructure component to create a Virtual Health Information Resource will be created. It will serve as a core resource to advance biomedical sciences research and education; promote collaborative research; enable access to digital information via the Internet and the WWW and provide computational modeling laboratory for undergraduate and graduate students including those who will be pursuing PhD studies.