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: 10490355
• 负责人: Alain Mefire Chichom
• 金额: $ 129.71万
• 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/10490355
• 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; Resource-limited setting; 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.

项目总结/摘要 创伤和其他手术治疗的条件是一个严重的，未解决的疾病负担， 撒哈拉以南非洲地区（SSA）受到严重影响。数据科学研究中心 外科手术，伤害和非洲公平（D-SINE-Africa）是布埃亚大学与 （布埃）、加州大学（洛杉矶（UCLA）和伯克利）、哥伦比亚公共事务部 喀麦隆的非洲数学科学研究所和南非的开普敦大学 非洲D-SINE Africa将解决健康差距与风险因素和结果的交叉问题 与SSA中的损伤和外科疾病相关。虽然数据比以往任何时候都丰富，但数据仍然是有限的。 低收入和中等收入国家。我们的方法将SSA中可用的“大数据”视为 有机会制定适合于资源有限环境的可持续数据限制方法。 因此，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、预防和治疗减轻伤害和外科疾病的负担; 2） 在喀麦隆和其他撒南非洲国家改善获得高质量外科护理的机会。这些目标将会实现 通过三个具体目标：1）研究2）网络和3）能力建设。实现这些目标 通过三个核心（行政、数据管理和分析以及能力建设核心）和两个核心（ 研究项目将在喀麦隆，南非和乌干达进行。研究项目1 -健康 公平监测解决了快速社会经济（SES）估计的迫切差距， 急性护理环境中的健康公平性，通过将聚类算法应用于现有的公共可用 人口和健康调查用于撒哈拉以南非洲的数据集合.研究项目2 -创伤随访预测目标 通过使用机器学习来优化基于移动的电话的筛查调查， 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，再次使用数据减少“大数据到小数据”的方法，符合枢纽的承诺， 可持续数据使用实践。这些项目利用共同的数据来源（喀麦隆创伤登记处）， 具有协调一致的主题（伤害、公平和数据减少），并将产生可以一起使用的调查结果 (e.g.,确定易受不良后续护理影响的社会经济地位群体）。The Hub创新地建立了社区 参与工具进入内部咨询委员会，以促进建立信任的多方面方法 研究参与者和最终用户。D-SINE非洲的努力将推动数据的创新和影响 科学，伤害和公平研究，以改善获得外科疾病的预防和护理，包括那些 他们的SES合谋增加他们对伤害和手术条件的脆弱性，同时减少一致性， 外科护理通道。D-SINE非洲的战略合作伙伴联合基础设施可供其 成员和整个DSI非洲联合会。