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: 10314099
• 负责人: Alain Mefire Chichom
• 金额: $ 129.83万
• 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/10314099
• 关键词: Address; Africa; Africa South of the Sahara; African; Algorithms; Area; Big Data; California; Cameroon; Car Phone; Caring; Collaborations; Communities; Congo; Country; Data; Data Analyses; Data Collection; Data Science; Data Set; Data Sources; Demographic and Health Surveys; Development; Disease; Disease Surveillance; Emergency Situation; Evidence based intervention; Funding; Goals; Grant; HIV; Health; Health Services Accessibility; Hospital Referrals; Hospitals; Housing; Improve Access; Infrastructure; Injury; Institutes; Institution; Joints; Los Angeles; Machine Learning; Mentors; Methods; Mission; Office of Administrative Management; Operative Surgical Procedures; Outcome; Participant; Pilot Projects; Policy Maker; Population; Prevention; Prevention strategy; Provider; Public Health; Registries; Research; Research Personnel; Research Project Grants; Research Training; Resources; Risk Factors; Science; Scientist; Secure; Seeds; Short Interspersed Nucleotide Elements; Socioeconomic Status; South Africa; Speed; Statistical Methods; Strategic Planning; Surveys; Training; Trauma; Trauma patient; Trust; Uganda; Universities; Vulnerable Populations; Work; acute care; advanced analytics; analytical method; base; burden of illness; clinical care; community engagement; data management; data quality; data reduction; disease disparity; disorder prevention; epidemiology study; follow-up; health disparity; health equity; high risk; implementation science; improved; injury burden; innovation; low and middle-income countries; mathematical sciences; meetings; member; multidisciplinary; novel; prevention service; programs; screening; socioeconomics; treatment services; uptake

PROJECT SUMMARY/ABSTRACT Trauma and other surgically treated conditions are a crippling, unaddressed burden of disease that disproportionately impacts sub-Saharan Africa (SSA) globally. The Data Science Center for the Study of Surgery, Injury, and Equity in Africa (D-SINE-Africa) is a strategic partnership between the University of Buea (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 in South Africa. D-SINE Africa will address the intersection of health disparities with the risk factors and outcomes associated with injury and surgical disease in SSA. Although more abundant than ever, data is still a limited resource in low- and middle-income countries. Our approach views “big data” available in SSA as an opportunity to develop sustainable data-constrained approaches appropriate for resource-constrained settings. Thus, data science will be harnessed to address our Hub's two main goals which are;1) to decrease the burden of injuries and surgical diseases through improved surveillance, prevention, and treatment; and 2) to improve access to quality surgical care in Cameroon and other SSA countries. These goals will be achieved through three specific aims: 1) Research 2) Networking and 3) Capacity Building. These aims implemented through three cores (Administrative, Data Management and Analysis, and Capacity Building Cores) and two Research Projects that will be conducted in Cameroon, South Africa, and Uganda. Research Project 1 - Health Equity Surveillance addresses the urgent gap in rapid socioeconomic (SES) estimation necessary to track health equity in acute care settings by applying a clustering algorithm to existing publicly available Demographic and Health Surveys data sets for SSA. Research Project 2 – Trauma Follow Up Prediction aims to improve trauma outcomes by using machine learning to optimize a mobile phone-based screening survey that will identify which trauma patients would benefit from further care after they are discharged from the hospital, again using a data reduction “big data to small data” approach in line with the Hub's commitment to sustainable data use practices. These projects utilize common data sources (Cameroon Trauma Registry), have harmonizing themes (injury, equity, and data reduction), and will yield findings that can be used together (e.g., identification of SES groups vulnerable to poor follow up care). The Hub has innovatively built community engagement vehicles into the Internal Advisory Board to promote a multi-faceted approach to building trust with research participants and end-users. D-SINE Africa efforts will drive innovation and impact in data science, injury, and equity research to improve access to surgical disease prevention and care, including those whose SES conspires to increase their vulnerability to injury and surgical conditions while reducing consistent surgical care access. D-SINE Africa's strategic partners joint infrastructure are available for use by its members and DSI-Africa consortium at large.

项目概要/摘要 创伤和其他手术治疗的疾病是一种严重的、未解决的疾病负担， 对全球撒哈拉以南非洲地区 (SSA) 的影响尤为严重。 非洲外科、损伤和公平 (D-SINE-Africa) 是布埃亚大学之间的战略合作伙伴关系 (Buea)、加州大学（洛杉矶 (UCLA) 和伯克利）、喀麦隆公共部 Health、喀麦隆非洲数学科学研究所和南部开普敦大学 非洲 D-SINE Africa 将解决健康差异与风险因素和结果的交叉问题。 与 SSA 损伤和手术疾病相关的数据虽然比以往更加丰富，但数据仍然有限。 我们的方法将 SSA 中可用的“大数据”视为一种资源。 开发适合资源受限环境的可持续数据受限方法的机会。 因此，我们将利用数据科学来实现我们中心的两个主要目标：1）减少 通过改进监测、预防和治疗来减轻伤害和外科疾病的负担；2) 改善喀麦隆和其他撒哈拉以南非洲国家获得优质外科护理的机会 这些目标将实现。 通过三个具体目标：1) 研究 2) 网络和 3) 能力建设 这些目标得以实现。 通过三个核心（管理、数据管理和分析以及能力建设核心）和两个 将在喀麦隆、南非和乌干达开展的研究项目 研究项目 1 - 健康。 公平监督解决了跟踪所需的快速社会经济（SES）估计中的紧迫差距 通过将聚类算法应用于现有的公共资源，实现急症护理环境中的健康公平 SSA 研究项目 2 的人口统计和健康调查数据集 – 创伤随访预测目标。 通过使用机器学习优化基于手机的筛查调查来改善创伤结果 这将确定哪些创伤患者在出院后将受益于进一步的护理 医院再次使用数据缩减“大数据到小数据”的方法，符合中心的承诺 这些项目利用通用数据源（喀麦隆创伤登记处）， 具有协调的主题（伤害、公平和数据减少），并将产生可以一起使用的发现 （例如，识别容易受到不良后续护理影响的 SES 群体）。 内部咨询委员会的参与工具，以促进建立信任的多方面方法 D-SINE Africa 的努力将推动数据创新和影响力。 科学、伤害和公平研究，以改善获得外科疾病预防和护理的机会，包括那些 他们的 SES 会增加他们对受伤和手术情况的脆弱性，同时减少持续的 D-SINE Africa 的战略合作伙伴联合基础设施可供其使用。 成员和整个 DSI-非洲联盟。