Statistical Methods for Network Epidemiology

网络流行病学统计方法

• 批准号: 8261326
• 负责人: Wanda Martina MORRIS
• 金额: $ 62.47万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-05-01 至 2016-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8261326
• 关键词: AIDS prevention; Behavior Therapy; Code; Collaborations; Communication Tools; Computer software; Computers; Development; Disease; Drops; Educational workshop; Ensure; Epidemic; Epidemiology; Family; Goals; Graph; HIV; HIV/STD; Herd Immunity; High Prevalence; Imagery; Individual; Internet; Intervention; Manuals; Methodology; Methods; Modeling; Pathway Analysis; Pattern; Population; Population Sizes; Prevalence; Prevention Research; Public Health; Publishing; Research; Research Design; Research Personnel; Resources; Risk; Sampling; Science; Simulate; Social Network; Statistical Methods; Structure; Time; Training; United States; United States National Institutes of Health; Vaccinated; Vaccines; Work; base; computer program; design; experience; innovation; network models; open source; outreach; programs; public health relevance; reproductive; simulation; theories; tool; transmission process

DESCRIPTION (provided by applicant): Social network analysis has become increasingly central to the study of HIV/STI transmission dynamics and disparities. For this approach to reach its full potential, the theory and methodology must be empirically grounded. This requires a comprehensive analytic strategy that starts with a feasible plan for sampling networks, and uses a statistical framework to leverage the sample information for understanding of population level network structure and dynamics. In this project, our team seeks to build on an innovative research agenda that has developed the statistical theory, methods and programs needed to establish a principled approach to network epidemiology. We seek to extend the current methodology to support comprehensive modeling for dynamic networks. Our specific aims are to: 1. develop the statistical theory and methodology for modeling network dynamics a. Refine and extend the current ERGM approach to modeling partnership dynamics. b. Develop extensions of ERGM to handle changing population size and composition. c. Create new network visualization tools designed specifically for epidemiological applications. 2. Integrate the new methods into the stat net software for network analysis and simulation a. Develop robust code for implementing the new methods b. Develop comprehensive help functions, manuals, and tutorials c. Ensure public access by publishing the code on CRAN and exploiting internet-based tools. 3. Develop training resources for researchers from different field's a. Develop a 5 day workshop in network theory, study design, analysis, simulation and visualization. b. Develop a 2 day training workshop on using stat net for network analysis. c. Develop 1 day training workshops for interdisciplinary outreach. Our project team comprises an interdisciplinary group of individuals with a long track record of working together, deep expertise in the application of network methods to STI research and prevention, experience in capacity building, and a commitment to the development of publicly accessible software. Our goal is to advance the science of network analysis, provide innovative research tools for research in epidemiology and public health, and lower the barriers to accessing these new tools. PUBLIC HEALTH RELEVANCE: Social network theory and methods are increasingly important in the study of HIV transmission, and for understanding the large persistent disparities in HIV prevalence both globally and in the United States. This project seeks to extend the capabilities of current methods for empirical network research through a combination of theoretical development, computer package implementation, and training workshops.

描述（由申请人提供）：社交网络分析已成为研究HIV/STI传播动态和差异的核心。为了使这种方法具有全部潜力，必须将理论和方法论基础。这需要一种全面的分析策略，该策略从可行的采样网络计划开始，并使用统计框架来利用示例信息来理解人群级别网络结构和动态。在这个项目中，我们的团队试图建立在创新的研究议程的基础上，该研究议程开发了统计理论，方法和计划，以建立一种有原则的网络流行病学方法。我们试图扩展当前的方法，以支持动态网络的综合建模。我们的具体目的是：1。开发建模网络动态的统计理论和方法a。完善并扩展当前的ERGM方法来建模伙伴关系动态。 b。开发ERGM的扩展，以处理不断变化的人口规模和组成。 c。创建专门为流行病学应用设计的新网络可视化工具。 2。将新方法集成到STAT NET软件中，以进行网络分析和仿真a。开发可靠的代码以实现新方法b。开发全面的帮助功能，手册和教程c。通过发布有关CRAN的代码并利用基于Internet的工具来确保公众访问。 3。为来自不同领域的研究人员开发培训资源。在网络理论，研究设计，分析，模拟和可视化中开发5天的研讨会。 b。在使用STAT NET进行网络分析上开发为期2天的培训研讨会。 c。为跨学科外展开发1天的培训讲习班。我们的项目团队组成了一个跨学科的人群，这些人共同努力，具有长期的合作记录，在将网络方法应用于STI研究和预防方面的深刻专业知识，能力建设方面的经验以及对开发公共可访问软件的承诺。我们的目标是推进网络分析的科学，为流行病学和公共卫生研究提供创新的研究工具，并降低访问这些新工具的障碍。 公共卫生相关性：社交网络理论和方法在研究HIV传播方面越来越重要，并且在全球范围内和美国了解HIV患病率的巨大持续差异。该项目旨在通过理论开发，计算机包实施和培训研讨会的结合来扩展当前方法进行经验网络研究的能力。