Harnessing Data Science to Promote Equity in Injury and Surgery for Africa

利用数据科学促进非洲伤害和手术的公平

• 批准号: 10842514
• 负责人: Alain Mefire Chichom
• 金额: $ 28.53万
• 依托单位: UNIVERSITY OF BUEA
• 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/10842514
• 关键词: Address; Administrative Supplement; Africa; Africa South of the Sahara; African; Area; Award; California; Cameroon; Caring; Cessation of life; Clinical; Collaborations; Communities; Complex; Country; Data; Data Analyses; Data Science; Data Scientist; Data Set; Databases; Decision Trees; Development; Disclosure; Disease; Disparity; Emergency Situation; Ensure; Equity; FAIR principles; Family; Foundations; Fringe Benefit; Funding; Generations; Goals; Grant; Health; Health Personnel; Health Sciences; Health Services Accessibility; Heart; Hospitals; Individual; Inequity; Injury; Institution; Instruction; Joints; Legal; Los Angeles; Machine Learning; Mathematics; Measures; Methods; Mission; Modeling; Modernization; Operative Surgical Procedures; Outcome; Patients; Population; Privacy; Privacy Act; Privatization; Property; Public Health; Readiness; Registries; Research; Research Personnel; Research Project Grants; Resources; Risk; Scientist; Secure; Socioeconomic Status; South Africa; Techniques; Time; Training; Trauma; Trauma patient; Trust; United States National Institutes of Health; Universities; Violence; Work; acute care; autoencoder; burden of illness; clinical care; data anonymization; data management; data registry; data repository; data sharing; demographics; design; disability; experience; follow-up; generative adversarial network; high risk; improved; injured; injury burden; innovation; insight; mathematical sciences; multimodal data; multimodality; next generation; novel; open data; patient privacy; prevent; recurrent neural network; repository; secondary analysis; shared repository; support vector machine; tool; user-friendly

Project Summary The Data Science Center for the Study of Surgery, Injury, and Equity in Africa (D-SINE-Africa) is an NIH U54- funded research hub located at the University of Buea (Buea) in Cameroon through the current Data Science in Africa (DS-I Africa) initiative (U54TW012087). D-SINE Africa is a strategic partnership between the Buea, the University of California (Los Angeles (UCLA) and Berkeley), the Cameroonian Ministry of Public Health, the African Institute for Mathematical Sciences in Cameroon, and the University of Cape Town (UCT) in South Africa. This coalition is built upon a long-standing collaboration between Buea and UCLA focused on decreasing the burden of surgical diseases in Cameroon and other sub-Saharan African (SSA) countries. Injuries and other surgically treated diseases comprise a significant burden of disease in SSA, but opportunities for research and funding are lacking. Our work on injury and other surgical emergencies has identified deep inequities that are particularly unmasked in acute care settings. The intersection between injury and equity is our priority area of study, as the inequities revealed by trauma are often symptomatic of larger, systemic, cross-cutting issues. Our mission is to leverage data science to decrease the impact of trauma, surgical disease, and disparities on the population of Cameroon and SSA by promoting collaborative research, networking, and capacity building. We are accomplishing this through three Center Cores (Administrative, Capacity Building, and Data Management and Analysis Cores) and two Research Projects, one on using data science methods to develop Socioeconomic Status Surveillance tools and another on using machine learning to enhance trauma patient follow-up after discharge from the hospital. At the heart of D-SINE Africa’s two Research Projects is the Cameroon Trauma Registry (CTR), a 10-hospital, ongoing, centralized trauma data bank that collects data on demographics, context, clinical care, and outcomes for injured patients. To date, the CTR has collected data on over 5000 Cameroonian trauma patients and, at approximately 450 patients per month, is projected to house information on over additional 16,000 patients over the next 3 years. While these data are essential for the completion of our two projects, they also have significant potential for other secondary analyses by scientists outside of D- SINE to tackle the critical, yet vitally understudied, area of injury in Africa, where trauma causes the most death and disability in the world. The goal of this supplement is to facilitate more secure, private, and streamlined data-sharing by using ML techniques and differential privacy to generate private synthetic datasets that retain the statistical properties of the original CTR data, while preventing the disclosure of sensitive information; thus, safeguarding patient privacy while still allowing broad access to the data for research purposes. This will aid our objective of reducing the burden of injury, achieving equity in access to surgery, and training the next generation of data scientists in SSA.

项目摘要 非洲的数据科学研究中心（D-Sine-Africa）是NIH U54- 通过当前的数据科学，位于喀麦隆Buea大学（BUEA）的资助研究中心 在非洲（DS-I非洲）倡议（U54TW012087）。 D-Sine Africa是Buea之间的战略伙伴关系 加利福尼亚大学（洛杉矶大学（加州大学洛杉矶分校）和伯克利分校），喀麦隆公共卫生部， 喀麦隆的非洲数学科学研究所和开普敦大学（UCT） 非洲。该联盟建立在Buea和UCLA之间的长期合作之上，致力于减少 喀麦隆和其他撒哈拉以南非洲（SSA）国家的手术疾病烧伤。受伤和其他 手术治疗的疾病包括SSA疾病的大量烧伤，但研究和 缺乏资金。我们在伤害和其他外科紧急情况方面的工作已经确定了严重的不平等现象 特别是在急性护理环境中脱颖而出。伤害与平等之间的交集是我们的优先区域 研究，正如创伤所揭示的那样，通常是较大，全身，横切问题的症状。我们的 任务是利用数据科学来减少创伤，外科疾病和差异对 喀麦隆和SSA的人口通过促进协作研究，网络和能力建设。我们 通过三个中心核心（行政，能力建设和数据管理 和分析核心）和两个研究项目，一个关于使用数据科学方法来发展社会经济 状态监视工具，另一种关于使用机器学习来增强创伤患者随访的工具 从医院出院。 D-Sine Africa的两个研究项目的核心是喀麦隆创伤 注册表（CTR）是一个10院，正在进行的集中创伤数据库，收集有关人口统计数据的数据， 受伤患者的背景，临床护理和结果。迄今为止，CTR收集了超过5000的数据 喀麦隆创伤患者，每月大约450名患者预计可以容纳信息 在接下来的3年中，多16,000名患者。虽然这些数据对于完成 我们的两个项目，它们也具有D-之外的科学家的其他二级分析的巨大潜力 正弦能够应对非洲的关键但知名的伤害区域，创伤导致最大的死亡 和世界上的残疾。该补充的目的是促进更安全，私密和精简 通过使用ML技术和差异隐私来生成保留私人合成数据集的数据共享 原始CTR数据的统计属性，同时阻止了敏感信息的披露；因此， 保护患者隐私，同时仍允许出于研究目的广泛访问数据。这将有助于 我们减少伤害燃烧，实现手术的平等和训练的目标 SSA的数据科学家生成。