Data Science and Analytical Core [Parent Title: PREVENTING INFANT INFECTIONS WITH IMPLEMENTATION SCIENCE IN MALAWI]

数据科学和分析核心——总结 实现消除母婴传播（EMTCT）将取决于以下各方的成功合作： 来自不同领域的科学家和实践者。这些领域中至关重要的是分析学科， 特别是流行病学、生物统计学和实施科学。这些学科致力于应用 适当的概念框架和分析方法，以确保准确的测量和有效的 健康研究中的推论。数据科学和分析核心的目标是确保协同作用 整个研究项目是通过与研究人员合作并发展能力来实现的 生成和管理高质量数据，以评估围产期艾滋病毒传播、抗逆转录病毒治疗的接受和依从性， 通过以下具体目标进行 PrEP 的采用和坚持： 目标 1. 开发数据管理系统并支持三者的数据管理活动 计划研究项目。北卡罗来纳大学马拉维项目 (UNC-PM) 设立了数据部门 负责管理 NIH 资助的大型临床试验网络、观察队列的数据， 实施研究和登记。数据部门持续取得优异成绩 评估所有数据指标，同时满足外部监测标准。 UNC项目已成功 从卫生部电子数据库和纸质登记册中提取常规数据，并将其链接到 研究数据在实施其一些研究时。数据科学和分析核心将利用这些 通过设计数据收集工具、创建和管理数据库、提取数据来支持项目的技能 来自卫生部数据库的常规数据，并建立数据质量保证和控制系统。目标2。 支持研究项目从设计到传播的分析方面。研究项目 本申请中提出的主题集中于 EMTCT，但需要广泛的分析 评估不同来源数据的能力。所有项目都需要跨领域的分析能力 数据科学和分析核心和 UNC-PM 附属教师将直接支持这些分析需求 实现总体目标。目标 3. 估计拟议干预措施对儿科和儿童的影响 如果在全国范围内推广，孕产妇结局和加速 EMTCT 进程。拟议项目涉及 实施新战略以加速马拉维的 EMTCT。我们将开发数学模型 量化并比较这些干预措施在避免孕产妇和儿童艾滋病毒感染方面的效果， 改善病毒载量抑制，并提高国家一级母婴护理的保留率。 目标 4. 为刚接触数据的嵌入式初级研究人员创建一个能力建设环境 通过教学培训和体验式学习进行管理和统计分析。核心将 通过提供一对一的咨询和教学培训来主持和支持项目指导活动 为受指导的临床研究人员和研究人员提供数据管理、研究方法和分析方面的服务。

Data Science and Analytical Core – Summary Achieving elimination of mother to child transmission (EMTCT) will depend on successful collaboration of scientists and practitioners from diverse fields. Essential among these fields are analytical disciplines, especially epidemiology, biostatistics, and implementation science. These disciplines are dedicated to applying appropriate conceptual frameworks and analytical methods to ensure accurate measurement and valid inference in health research. The goal of the Data Science and Analytical Core is to ensure that synergies across the research projects are realized by collaborating with the investigators and developing capacity to produce and manage high quality data for evaluating perinatal HIV transmission, ART uptake and adherence, and PrEP uptake and adherence through the following specific aims: Aim 1. Develop data management systems and support data management activities for the three program research projects. The UNC Project Malawi (UNC-PM) has an established data department responsible for managing data for large NIH funded clinical trials networks, observational cohorts, Implementation research, and registries. The data department has consistently achieved outstanding evaluations of all data metrics, while meeting external monitoring criteria. UNC Project has successfully extracted routine data from MOH electronic databases and paper-based registers and linking the same to research data when implementing some of its studies.The Data Science and Analytical Core will utilize these skills to support the projects by designing data collection tools, creating and managing databases, extracting routine data from MOH databases, and setting up data quality assurance and control systems. Aim 2. Support analytical aspects of the research projects from design to dissemination. The research projects proposed in this application are thematically focused on EMTCT but require a broad range of analytical aptitudes to assess data from diverse sources. All projects require cross-cutting analytical competencies The Data Science and Analytical Core and UNC-PM affiliated faculty will directly support these analytical needs to achieve the overall aims. Aim 3. Estimate the effects of the proposed interventions on pediatric and maternal outcomes and accelerating EMTCT if expanded nationally. The proposed projects involve implementing novel strategies to accelerate EMTCT in Malawi. We will develop mathematical models to quantify and compare the effect of these interventions in averting both maternal and pediatric HIV infections, improving viral load suppression, and increasing retention in care for mother-infant pairs at the national level. Aim 4. Create a capacity building environment for embedded junior investigators new to data management and statistical analysis through didactic training and experiential learning. The Core will host and support the program mentoring activities by providing one-on-one consultancies and didactic training in data management, research methods, and analysis for mentored clinical investigators and researchers.