Integrated bio-social models for HIV epidemiology

HIV流行病学的综合生物社会模型

• 批准号: 8731581
• 负责人: STEVEN M. GOODREAU
• 金额: $ 57.13万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-03-01 至 2019-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8731581
• 关键词: AIDS prevention; Acute; Address; Adherence; Age; Antiretroviral resistance; Area; Basic Science; Behavioral; Biological; Biology; Communities; Complex; Computer software; Computers; Drug resistance; Eastern Africa; Educational process of instructing; Educational workshop; Ensure; Environment; Epidemic; Epidemiology; Evolution; Foundations; Goals; HIV; HIV drug resistance; Heterosexuals; Human; Impact evaluation; Individual; Infection; Intervention; Investigation; Joints; Laboratories; Lead; Measures; Methods; Metric; Modeling; Pathway Analysis; Pattern; Population; Population Dynamics; Positioning Attribute; Prevalence; Prevention; Prevention approach; Programming Languages; Prophylactic treatment; Proxy; Regimen; Research; Resistance; Scientist; Solid; Southern Africa; Statistical Computing; Structure; System; Ursidae Family; Variant; Viral; Viral Load result; Virulence; Virus; Washington; Work; antiretroviral therapy; biological systems; biomedical scientist; density; design; experience; insight; men who have sex with men; network models; novel; practical application; pressure; programs; public health relevance; resistance mutation; resistant strain; scale up; social; social model; success; surveillance data; theories; tool; transmission process; trend; viral resistance; virology

DESCRIPTION (provided by applicant): There has been a huge shift in the HIV prevention field, in which biomedical interventions have been elevated to the forefront of research and practice. This has re-energized efforts to expand global access to antiretroviral therapy and support treatment as prevention (TasP), as well as to expand targeted access to pre-exposure prophylaxis (PrEP). While there is enthusiasm about the prospect of ending HIV, it is critical to consider how our intervention efforts will interact with the complex demographic and biological systems in which they are placed. Our project brings together experienced social and biomedical scientists for a unique interdisciplinary project: to build an integrated methodological framework to study the multi-level biological and behavioral foundations of the population dynamics of HIV. We will combine newly developed stochastic models for representing the dynamics of human partnership networks with models that represent viral evolutionary dynamics within and between hosts. The result will be a comprehensive framework for studying the impact of biomedical interventions on HIV evolution and drug resistance under different transmission network conditions. Our specific aims are: 1) To create a new public software package that integrates models for viral transmission networks and intra- and inter-host viral dynamics and evolution; 2) To determine how transmission network structure and biomedical interventions influence trends in population-level measures of HIV viral load, including set point viral load (as a proxy for HIV virulence) and community viral load (as a potential metric for intervention impact evaluation); and 3) To investigate the interaction of transmission network structure and biomedical interventions on the emergence and spread of HIV drug resistance mutations.

描述（由申请人提供）：艾滋病预防领域发生了巨大的变化，生物医学干预已被提升到研究和实践的前沿。这为扩大全球获得抗逆转录病毒治疗和支持以预防为目的的治疗（TasP）以及扩大有针对性地获得暴露前预防（PrEP）的努力注入了新的活力。虽然人们对终结艾滋病毒的前景充满热情，但重要的是要考虑我们的干预工作将如何与它们所处的复杂人口和生物系统相互作用。我们的项目汇集了经验丰富的社会和生物医学科学家为一个独特的跨学科项目：建立一个综合的方法