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：
8309291
负责人：
Warren Scott Comulada
金额：
$ 14.82万
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/8309291
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.

移动个人传感（MPS）是通过手机对实时数据进行评估。国会议员准备革新评估和自我监测的HIV传播风险行为的能力。拟议的五年职业奖将为W. Scott Comulada，P.H.在拟议的职业奖中，他将开发创新的方法，以整合与艾滋病毒传播风险随时间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博士获得了加利福尼亚大学洛杉矶分校的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方法核心的副主任（芯片）。 Comulada博士的学术培训和最近的职业道路集中在统计方法的发展上，这将进一步研究HIV研究。国会议员正在将艾滋病毒的研究从库拉达博士拥有专业知识的传统研究方法中移开。在他职业生涯的这个阶段至关重要的是，科卢拉达博士得到了成为艾滋病毒研究方法论发展的独立研究者所需的时间和培训机会。他的培训将集中于针对社交网络和国会议员数据的定量方法，研究的道德行为，并将为学术职业增强一般技能。培训计划包括社交网络，国会议员和HIV干预设计专家的结构化课程和指导。研究的目的是：1）扩展既定的社交网络统计模型，以处理MPS环境中实时数据的评估； 2）开发模型以使用先前的结果测量以及以前的 /同时测量的日记数据和GPS位置痕迹来预测行为结果； 3）将模型从2）扩展到2）将社交网络特征纳入行为结果的预测指标。研究的关键组成部分将涉及设计基于他建议的统计模型并将其编程到手机中的自我监控算法。例如，当手机用户靠近物理位置时可能会导致不必要的行为（例如bar）时，可以提醒他们。手机自我监控申请将对在加利福尼亚州洛杉矶县患艾滋病毒的人进行试点测试。申请人将使用这项研究开发的方法来告知基于MPS的HIV干预试验的设计，该试验将在随后的R01应用程序中开发。