APPLYING BIOINFORMATICS AND COMPUTATIONAL BIOLOGY TO STUDY HIV/AIDS

这个子项目是许多利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 该项目的重点是计算流行病学研究，重点是主要关注的健康差异疾病，即艾滋病毒/艾滋病。具体目标：1）在细胞内水平上开发一种新的HIV/AIDS微观流行病学计算模型：所开发的模型提供了如何将细胞内/分子水平模型纳入宏观流行病学综合系统动力学模型以检查各种计算实验的见解。2)开发系统动力学模型和艾滋病毒/艾滋病多因素流行病学模型。流行病学模型，结合细胞/分子（微观水平）和宏观水平的流行病学动态研究艾滋病毒/艾滋病在非洲裔美国人亚群的预防和治疗策略的开发。3)HIV/AIDS的多因素流行病学建模：已经开发了相互关联（生物医学，行为和社会经济因素）决定因素的多因素和定量流行病学研究。使用这些模型作为我们的实验介质，我们评估各种干预方案，为社区推荐有效的策略，以尽量减少新感染的风险，预防未来的感染和管理现有的感染。4)静态建模，以检查HAART治疗艾滋病毒/艾滋病。为了回答哪种HAART组合最有效的问题，我们与位于伯明翰的亚拉巴马大学（UAB）1917 HIV/AIDS诊所合作。 这项工作的结果虽然一开始看起来很有希望，但并没有提供明确和可靠的结果。 研究和结果：正在准备向期刊提交的论文。计划：继续收集数据和信息，以估计艾滋病毒/艾滋病模型的参数和变量，重点是非洲裔美国人艾滋病的宏观流行病学。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This project focuses upon Research in Computational Epidemiology with an emphasis on a health disparity disease of major concern, that of HIV/AIDS. SPECIFIC AIMS: 1) Development of a novel micro-epidemiologic computational model for HIV/AIDS at the intracellular levels: The models developed provide insights in how an intracellular/molecular level model can be incorporated within a macro-epidemiologic integrative systems dynamics model for examining a variety of computational experimentations. 2) Development of a systems dynamics model and modelling of the multifactorial epidemiology of HIV/AIDS. An epidemiologic model that incorporates cellular/molecular (micro level) and macro level epidemiologic dynamics for examining preventive and therapeutic strategies of HIV/AIDS in African American sub populations was developed. 3) Modelling of the multifactorial epidemiology of HIV/AIDS: Multifactorial and quantitative epidemiologic studies that interrelate (biomedical, behavioral, and socioeconomic factors) determinants have been developed. Using these models as our experimental medium, we evaluate various intervention scenarios to recommend effective strategies for the community to minimize the risk of new infections prevent future infections and manage existing infections. 4) Static modeling to examine if HAART Therapies for HIV/AIDS. To answer the question of which combination of HAART is most effective we collaborated with the University of Alabama at Birmingham (UAB) 1917 HIV/AIDS clinic. The results of this work although appeared promising in the beginning, they did not provide clear and reliable outcomes. STUDIES AND RESULTS: Manuscripts are being prepared for submission to journals. PLANS: To continue to gather data and information for the estimation of the parameters and variables of the model for HIV/AIDS with a focus on the macro-epidemiology of AIDS in African Americans.