Core B: Data Management and Statistics

摘要 数据管理和分析核心的主要功能是支持数据 三个项目的分析需求。这些研究项目将产生的数据贯穿了许多领域， 从宿主内部到村、区和省一级描述登革热疾病的数据。数据 这些研究项目所产生的研究成果也涵盖了许多不同的科学研究领域 从临床传染病到免疫学到病毒学再到昆虫学。核心将支持 个人研究项目中产生的数据管理。数据管理解析用 核心将由佛罗里达大学的德里克·卡明斯博士领导，包括罗德里格斯·巴拉奎博士 在加州大学旧金山分校弗朗西斯科。数据管理和分析的具体目标 核心是在从设计到实施的每个执行阶段为各个项目提供支持 进行分析。分析核心的成员将定期与项目调查人员沟通，以制定 数据收集、输入、安全、质量控制、存储、格式化和备份的具体计划 从每个项目。该中心已经并将继续就研究设计提供咨询。 对单个元素的成功以及与设计假设的一致性的反馈 阶段将以持续的方式进行评估。核心小组将协助对每个项目进行分析 并促进包括多个项目数据的综合分析。核心也将 在四个主要分析领域开发和利用新方法：1）传动动力学研究 利用序列数据2）利用分子生物学方法对登革热传播的时空研究， 模型和统计模型，可以解释观测的空间和时间聚类3） 包括免疫动力学在内的宿主内过程的机制和现象学模型， 病毒动态4）估算和数据扩充方法，以扩大收集的数据， 描述与未观察到的传播和感染方面相关的不确定性。

Abstract The major function of the Data Management and Analysis Core will be to support the data analytic needs of all three projects. Data that the research projects will generate traverses a number of scales from within host to data describing dengue disease at village, district and province scales. Data generated by the research projects also encompasses a number of different fields of scientific inquiry from clinical infectious disease to immunology to virology to entomology. The Core will provide support to individual research projects in the management of data generated. The Data Management and Analysis Core will be led by Dr. Derek Cummings at the University of Florida and include Dr. Rodriguez-Barraquer at the University of California San Francisco. The specific aims of the Data Management and Analysis Core are to provide support to individual projects in each phase of their execution from design to conduct to analysis. Members of the analysis core will regularly communicate with project investigators to develop specific plans for the collection, entry, security, quality control, storage, formatting, and backup of data from each project. The Core has and will continue to provide consultation on the design of studies. Feedback on the success of individual elements and the consistency with assumptions at the design phase will be assessed in an ongoing manner. The Core will assist in analyses in each of the projects individually and facilitate integrative analyses that include data from multiple projects. The Core will also develop and utilize novel methods in four major areas of analysis: 1) studies of transmission dynamics utilizing sequence data 2) spatial and temporal studies of the transmission of dengue using mechanistic models and statistical models that can account for spatial and temporal clustering of observations 3) mechanistic and phenomenological models of within-host processes including immune-dynamics and virus dynamics 4) imputation and data augmentation approaches to expand collected data in order to characterize the uncertainty associated with unobserved aspects of the transmission and infection.