Predicting HIV-related Behaviors of Social Networks in a MPS Environment

预测 MPS 环境中社交网络的 HIV 相关行为

基本信息

批准号：
8530281
负责人：
Warren Scott Comulada
金额：
$ 14.51万
依托单位：
UNIVERSITY OF CALIFORNIA LOS ANGELES
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-09-21 至 2015-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8530281
关键词：
AIDS prevention Academic Training Accounting Address Adult Algorithms Automobile Driving Award Behavior Behavioral California Car Phone Characteristics County Cross-Sectional Studies Data Data Analyses Data Collection Data Set Detection Development Diet Doctor of Public Health Doctor&apos s Degree Drug usage Ego Electronics Emerging Technologies Environment Ethical Issues Ethics Evaluation Frequencies Future Goals HIV HIV Seropositivity Health Health behavior In Situ Individual Intervention Intervention Studies Intervention Trial Interview Interviewer Jogging Joints K-Series Research Career Programs Lead Life Link Location Los Angeles Mainstreaming Measurement Measures Mental Health Mentors Methodology Methods Modeling Monitor Moods Network-based Outcome Participant Pathway Analysis Patient Self-Report Pattern Persons Phase Physical activity Physical environment Pilot Projects Positioning Attribute Prevention Qualitative Research Records Reporting Research Research Design Research Methodology Research Personnel Risk Risk Behaviors Sampling Science Self Assessment Series Services Social Interaction Social Network Staging Statistical Methods Statistical Models Structure Testing Time Tobacco use Training Travel Universities Validation Visit Work base behavior influence career cohort computer based statistical methods contextual factors cost effective data management design diaries electronic data experience improved innovation member network models next generation programs self reported behavior skills social therapy design tool transmission process volunteer

项目摘要

Mobile personal sensing (MPS) is the assessment of real-time data in situ through a mobile phone. MPS is poised to revolutionize the ability to both assess and self-monitor HIV-transmission risk behaviors. The proposed five-year career award will provide W. Scott Comulada, Dr.P.H., a statistician working in the field of HIV prevention, with protected time and the methodological expertise in MPS to inform the design of MPS- based HIV interventions. During the proposed career award, he will develop innovative methods to integrate information from three data types related to HIV transmission risk over time: social network, diary, and Global Positioning Satellite (GPS) location trace data. Three years ago, Dr. Comulada received a doctoral degree in Biostatisics from the University of California, Los Angeles. He is currently the Associate Director of the Methods Core for the Center for HIV, Identification, Prevention, and Treatment Services (CHIPTS). Dr. Comulada's academic training and recent career path have focused on the development of statistical methodology that will further HIV research. MPS is moving HIV research away from traditional research methods that Dr. Comulada has expertise in. It is critical at this stage in his career that Dr. Comulada be afforded the time and training opportunities needed to become an independent investigator who is at the forefront of methodological development in HIV research. His training will focus on quantitative methods specific to social network and MPS data, the ethical conduct of research, and will build general skills for an academic career. The training plan includes structured coursework and mentoring by a group of experts in social networks, MPS, and HIV intervention design. The aims of the research are to: 1) Expand on established social network statistical models to handle assessment of real-time data in a MPS environment; 2) Develop models to predict behavioral outcomes using previous measurements of the outcome and previous / concurrently measured diary data and GPS location traces; and 3) Expand model from 2) to incorporate social network characteristics as a predictor of behavioral outcomes. A key component of the research will involve designing self-monitoring algorithms that will be based on his proposed statistical models and programmed into a mobile phone. For example, a mobile phone user could be alerted when they are in close proximity to a physical location that may lead to unwanted behavior, such as a bar. The mobile phone self-monitoring application will be pilot tested on persons living with HIV in Los Angeles County, California. Methodology developed from this study will be used by the applicant to inform the design of a MPS-based HIV intervention trial that will be developed in a subsequent R01 application.

移动个人感知（MPS）是通过手机对实时数据进行现场评估。 MPS 有望彻底改变评估和自我监测 HIV 传播风险行为的能力。拟议的五年职业奖将为从事 HIV 预防领域工作的统计学家 W. Scott Comulada 博士提供受保护的时间和 MPS 的方法学专业知识，为基于 MPS 的 HIV 干预措施的设计提供信息。在拟议的职业奖期间，他将开发创新方法来整合与艾滋病毒传播风险相关的三种数据类型的信息：社交网络、日记和全球定位卫星 (GPS) 位置跟踪数据。三年前，Comulada 博士获得了加州大学洛杉矶分校生物统计学博士学位。他目前是艾滋病毒识别、预防和治疗服务中心 (CHIPTS) 方法核心的副主任。 Comulada 博士的学术培训和最近的职业道路主要集中在统计方法的开发上，以进一步推进艾滋病毒研究。 MPS 正在将艾滋病毒研究从 Comulada 博士擅长的传统研究方法中转移出来。在他职业生涯的现阶段，为 Comulada 博士提供所需的时间和培训机会，让他成为一名处于研究前沿的独立研究者，这一点至关重要。 HIV 研究方法论的发展。他的培训将侧重于特定于社交网络和 MPS 数据的定量方法、研究的道德行为，并将培养学术生涯的一般技能。培训计划包括由社交网络、MPS 和艾滋病毒干预设计方面的专家组提供的结构化课程和指导。研究的目的是： 1) 扩展已建立的社交网络统计模型，以处理 MPS 环境中的实时数据评估； 2) 使用先前的结果测量以及先前/同时测量的日记数据和 GPS 位置轨迹开发模型来预测行为结果； 3) 扩展 2) 的模型，将社交网络特征纳入行为结果的预测因子。该研究的一个关键组成部分将涉及设计自我监控算法，该算法将基于他提出的统计模型并编程到手机中。例如，当移动电话用户靠近可能导致不良行为的物理位置（例如酒吧）时，可能会收到警报。该手机自我监测应用程序将在加利福尼亚州洛杉矶县的艾滋病毒感染者身上进行试点测试。申请人将使用根据本研究开发的方法来设计基于 MPS 的 HIV 干预试验，该试验将在后续的 R01 申请中开发。