Modelling adherence to HIV therapy

我的研究计划的主要目标是描述和理解艾滋病毒阳性患者坚持其规定的治疗方案的方式。这是通过数学模型的开发和分析以及通过数据模型拟合来完成的。对艾滋病毒药物治疗的依从性已被描述为当今医学研究中最紧迫的问题。很少有理论工作已经完成，以了解这些复杂的模式，人类的行为，医生规定的治疗休息，相互作用的副作用后，病人的决定暂停治疗。这涉及免疫学（宿主内）和流行病学（人群范围）模型，以确定依从性如何促进耐药性的出现。这些模型也可用于确定从治疗中休息的最佳时间以及休息时间。他们还将确定改变治疗方案的最佳时机。分析主要集中在控制策略上，包括治疗、疫苗、杀微生物剂和增强免疫系统，以及当这些控制策略失败时会发生什么的性质。

The main objective of my research program is to describe and understand the manner in which HIV-positive patients adhere to their prescribed treatment regimens. This is done by development and analysis of mathematical models and through data-model fitting.Adherence to HIV medication has been described as the most urgent problem in medical research today. Very little theoretical work has been done to understand these complex patterns of human behaviour, of doctor-prescribed treatment breaks, of the interaction of side-effects upon a patient's decision to pause treatment. This involves both immunological (within-host) and epidemiological (population-wide) models in order to determine how adherence facilitates the emergence of drug resistance.The models can also be used to determine the best time to take a break from therapy and how long such a break should be. They will also determine the best time to change treatment regimes.The analysis is primarily focussed on control strategies, including treatment, vaccines, microbicides and boosting of the immune system, as well as the nature of what happens when such control strategies fail.