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 非洲外科手术，伤害和公平研究数据科学中心（D-SINE-Africa）是NIH U 54- 位于喀麦隆布埃亚大学（布埃亚）的资助研究中心，通过目前的数据科学 在非洲（DS-I非洲）倡议（U 54 TW 012087）。D-SINE Africa是Buea， 加州大学（洛杉矶（UCLA）和伯克利）、哥伦比亚公共卫生部、 喀麦隆的非洲数学科学研究所和南非的开普敦大学（UCT） 非洲该联盟建立在布埃亚和加州大学洛杉矶分校之间的长期合作基础上， 喀麦隆和其他撒哈拉以南非洲国家的外科疾病负担。伤害和其他 手术治疗的疾病构成了SSA的重大疾病负担，但研究和 资金缺乏。我们在伤害和其他外科急诊方面的工作已经发现了严重的不公平现象， 特别是在急性护理环境中暴露。伤害和公平之间的交叉是我们的优先领域， 因此，我们需要对这一问题进行深入研究，因为创伤所揭示的不平等现象往往是更大的、系统性的、贯穿各领域的问题的症状。我们 使命是利用数据科学减少创伤、外科疾病和差异对 通过促进合作研究、建立网络和能力建设，提高喀麦隆和撒哈拉以南非洲人口的生活水平。我们 通过三个中心核心（管理、能力建设和数据管理）来实现这一目标 和分析核心）和两个研究项目，一个是使用数据科学方法来发展社会经济 状态监测工具和另一个关于使用机器学习来加强创伤患者随访的工具。 出院D-SINE非洲两个研究项目的核心是喀麦隆创伤 注册表（CTR），一个10家医院，正在进行的，集中的创伤数据库，收集人口统计学数据， 背景、临床护理和受伤患者的结局。到目前为止，CTR已经收集了5000多个 爱沙尼亚创伤患者，预计每月约有450名患者， 在接下来的三年里，将有超过16,000名患者接受治疗。虽然这些数据对于完成 我们的两个项目，他们也有很大的潜力，其他二次分析的科学家以外的D- SINE旨在解决非洲创伤造成最多死亡的关键但研究不足的创伤领域 和残疾的人。此补充的目标是促进更安全，隐私和简化 通过使用机器学习技术和差异隐私来生成私有合成数据集， 原始CTR数据的统计特性，同时防止敏感信息的泄露;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 我们的目标是减少受伤的负担，实现公平获得手术，并培训下一个 数据科学家在SSA