MADIVA (Multimorbidity in Africa: Digital innovation, visualisation and application)

MADIVA（非洲的多发病：数字创新、可视化和应用）

• 批准号: 10490462
• 负责人: Scott Hazelhurst
• 金额: $ 129.52万
• 依托单位: WITS HEALTH CONSORTIUM (PTY), LTD
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-15 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10490462
• 关键词: Academic Medical Centers; Address; Africa; African; Area; Behavioral; Clinic; Clinical; Cohort Studies; Collaborations; Communities; Complex; Computer software; Data; Data Analyses; Data Science; Data Set; Data Store; Development; Disease; Epidemiology; Ethics; Evaluation; Grant; Health; Health Status; Health system; Healthcare; Individual; Intervention; Kenya; Laboratories; Leadership; Link; Longitudinal Studies; Machine Learning; Mentors; Methods; Modeling; Monitor; Network Infrastructure; Outcome; Persons; Pharmaceutical Preparations; Pharmacogenomics; Pilot Projects; Play; Policies; Population; Population Research; Precision Health; Prevalence; Procedures; Process; Protocols documentation; Public Health; Quality Control; Records; Research; Research Personnel; Research Project Grants; Risk; Role; Running; Rural; Scientist; Site; South Africa; South African; Stratification; Structure; Subgroup; System; Techniques; Technology; Training; Trauma; Universities; Urban Population; Visualization; Work; base; career; clinical risk; cost; dashboard; data infrastructure; data integration; data management; data quality; data sharing; data standards; data visualization; design; digital; epidemiologic data; gene environment interaction; genomic data; health record; heterogenous data; high risk; high risk population; innovation; insight; longitudinal dataset; machine learning model; metadata standards; multidimensional data; multiple chronic conditions; novel; polygenic risk score; population health; population stratification; programs; public health intervention; public health research; risk prediction model; social; social interventions; software development; tool

Project summary – MADIVA: Multimorbidity in Africa: Digital innovation, visualisation and application Research Hub Our research hub will develop data science to address the complex interplay, individual and public health challenges, and rising prevalence of multimorbidity in Africans. Epidemiological transition in Africa has greatly changed health risks at both individual and public health levels. Trauma, infectious & non- communicable diseases are major health challenges; multiple occurrences multiply burdens for individuals and communities. The inherent value from the increasingly rich and varied existing data has not been exploited. We have rich longitudinal epidemiological data sets, partial but increasingly available clinical and laboratory records, and genomic data. The data, as is common in the domain, is highly heterogeneous, and in parts, fragmented and incomplete. The Hub will be led by the University of the Witwatersrand, Johannesburg collaborating with the African Population and Health Research Center (Nairobi, Kenya), IBM Research Africa, the South African Population Research Infrastructure Network and Vanderbilt University Medical Center. The initial sites are an urban population in Nairobi, and a rural, transitioning, site in Bushbuckridge, South Africa: each has rich longitudinal data of >100,000 individuals. Although incomplete, clinical records are increasingly being captured digitally. Notably there is genomic data from a subset of individuals at each of the sites. Multimorbidity is inherently multi-factorial — fragmented unlinked data retards solutions. Project 1 focuses on linking. Integrated data sets will aid in understanding these communities, representative of many in Africa, and protocols developed will be applicable elsewhere. A researcher dashboard will allow researchers to find data and plan projects. A clinic dashboard will help clinic managers and health officials to monitor and plan effectively. Project 2 will be solution-oriented to develop novel data science methods to provide actionable insights. We will develop robust methods for risk profiling of individuals and communities using heterogeneous data. We pioneer the use of polygenic risk scores in Africa. Key data science questions are explicability of results and managing high-dimensional data without loss of power. An innovative aspect of our grant will be translational work with public precision health to provide insights into drug dispensing, pharmacogenomics, and behavioral or possible social interventions. The Capacity Development & Pilot Project Core will support a tiered set of pilot projects for African researchers at different career stages, leveraging our strong research platforms and networks. We aim to build capacity in key areas including incubation and cost modelling for data science. The Administrative and Leadership Core will provide the necessary leadership and project management and linking to other DS-I components. The Data Management and Analysis Core will develop protocols for the responsible sharing of data, data quality control, technical support as well as innovate new analysis techniques.

项目摘要 - MADIVA：非洲的多种多发性：数字 创新，可视化和应用研究中心 我们的研究中心将开发数据科学，以解决复杂的相互作用，个人和公共卫生 挑战和非洲人多种病的患病率上升。非洲流行病学转变已有 个人和公共卫生水平都大大改变了健康风险。创伤，传染性和非 - 沟通疾病是主要的健康挑战；多次出现为个体繁殖 和社区。从越来越丰富且多样化的现有数据中的继承值尚未 被利用。我们拥有丰富的纵向流行病学数据集，部分但越来越可用的临床和 实验室记录和基因组数据。该数据在域中常见，是高度异质的，在 零件，分散且不完整。 该枢纽将由约翰内斯堡的维特沃特斯兰大学（Witwatersrand）领导 人口与健康研究中心（肯尼亚内罗毕），IBM研究非洲，南非人口 研究基础设施网络和范德比尔特大学医学中心。最初的网站是城市 内罗毕的人口以及南非布什巴克里奇的粗糙，过渡地点：每个人都有丰富的 > 100,000个个人的纵向数据。尽管不完整，但临床记录越来越多 以数字方式捕获。值得注意的是，每个站点的个体子集都有基因组数据。 多发生固有性是多因素的 - 零散的未链接数据延迟解决方案。项目1重点 关于链接。综合数据集将有助于理解这些社区，代表非洲许多社区， 开发的协议将适用于其他地方。研究人员仪表板将允许研究人员找到 数据和计划项目。诊所仪表板将帮助诊所经理和卫生官员监视和计划 有效地。项目2将以解决方案为导向开发新的数据科学方法以提供可行的 见解。我们将开发强大的方法来使用使用 异质数据。我们开创了非洲多基因风险评分的使用。关键数据科学问题是 结果的明确性和管理高维数据而不会损失功率。一个创新的方面 我们的赠款将通过公共精确健康进行翻译，以提供有关药物分配的见解， 药物基因组学以及行为或可能的社会干预措施。 能力开发和飞行员项目核心将为非洲提供一组分层的试点项目 在不同职业阶段的研究人员利用了我们强大的研究平台和网络。我们旨在建造 关键领域的容量，包括数据科学的孵化和成本建模。行政和 领导力核心将提供必要的领导和项目管理，并与其他DS-I联系 成分。数据管理和分析核心将为负责共享的协议制定协议 数据，数据质量控制，技术支持以及创新新分析技术。