Eneza Data Science: Enhancing Data Science Capability and Tools for Health in East Africa

摘要 研究培训项目《Eneza数据科学：提升数据科学能力》 东非的健康和工具“建立在阿加汗大学的UZIMA DS-I非洲项目的基础上， 该组织的重点是改善高危母亲和儿童的健康状况， 肯尼亚高危青少年和年轻人的健康结果，以及生物信息学 研究和能力建设计划已在人类健康和 非洲遗传(h3africa.org)计划；东非生物信息学培训网络 (EANBiT)和泛非生物信息学网络H3ABioNet。EANBiT已经成为主要的 生物信息学硕士毕业生，包括为期五周的强化课程 住宅培训计划，导致在一系列生物科学学科的论文研究， 包括传染性病原体和病媒以及微生物和人类遗传学。H3ABioNet 建立了可访问和分发的生物信息学培训入门(IBT)和 在非洲通常同时有大约1000名学生的中级课程。CIPE将领导 Eneza Data Science，建立在通过H3 Africa获得的经验基础上，与 Aga Khan大学，以及美国密歇根大学专家的支持 非洲国家国际大学(USIU-非洲，设在内罗毕)；普瓦尼大学#年 肯尼亚，以及印度的开放医药基金会。这个节目汇集了 在机器学习/人工智能、临床实践、 统计学、生物信息学和热带传染病的广泛知识。我们 将Eneza Data Science构建为可重复使用的短期培训和实习 以可衡量的方式增强数据科学能力并提供增长机会的渠道 跨传染病和非传染性疾病研究和临床协作 该地区的社区。Eneza是一个斯瓦希里语单词，意思是“传播”或“传播”，以及 我们的愿景是，我们将逐步为个人技能和培训人数做出贡献 应用数据科学工具改善医疗决策的卫生部门人员 服务设置。该计划的具体目标是：目标1：开发一个协作平台 促进和加强数据科学，促进健康培训和职业发展；目标 2：通过参与以下活动，提高对卫生数据科学需求的认识 利益相关者在临床环境中扩大数据科学工具的应用；目标3：设计 结合短期课程、黑客马拉松和导师计划的培训模式，以建立 临床医生、研究人员、培训师和学员的能力。

Abstract The Research Training program "Eneza Data Science: Enhancing Data Science Capability and Tools for Health in East Africa" builds on Aga Khan University's UZIMA DS-I Africa project, whose focus is to improve health outcomes for at-risk mothers and children, mental health outcomes for at-risk adolescents and young adults in Kenya, and bioinformatics research and capacity building programs that have grown within the Human Health and Heredity in Africa (h3africa.org) program; Eastern Africa Network for Bioinformatics Training (EANBiT) and H3ABioNet, the pan-African bioinformatics network. EANBiT has as the main output masters level graduates in bioinformatics, which includes a five-week intensive residential training program that leads to thesis research in a range of bioscience disciplines, including infectious pathogens and vectors and microbial and human genetics. H3ABioNet has built an accessible and distributed introduction to bioinformatics training (IBT) and intermediate courses that often have ~1000 students simultaneously in Africa. ICIPE will lead Eneza Data Science, building on experience gained through H3Africa, in collaboration with Aga Khan University, and support from experts from the University of Michigan, the United States International University in Africa (USIU-Africa, based in Nairobi); Pwani University in Kenya, and the Open Pharma Foundation in India. This program brings together transdisciplinary expertise in machine learning / artificial intelligence, clinical practice, statistics, bioinformatics, and extensive knowledge of infectious diseases in the tropics. We have structured Eneza Data Science as a reproducible short-term training and internship pipeline to enhance data science capabilities measurably and provide opportunities to grow collaboration across communicable and noncommunicable diseases research and clinical communities in the region. Eneza is a Swahili word that means 'spread' or 'disseminate', and our vision is that we will incrementally contribute to individual skills and the number of trained health sector personnel who apply data science tools to improve decision making in healthcare service settings. The program specific aims are: Aim 1: Develop a collaborative platform for promoting and strengthening data science for health training and career development; Aim 2: Build awareness of the need for data science for health through engagement among stakeholders to grow the application of data science tools in clinical settings; Aim 3: Design a training model that combines short courses, hackathons, and mentorship programs to build capacity for clinicians, researchers, trainers, and trainees.