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

Eneza 数据科学：增强东非健康领域的数据科学能力和工具

• 批准号: 10713044
• 负责人: Amina Abubakar Ali
• 金额: $ 20万
• 依托单位: INTERNATIONAL CENTRE OF INSECT PHYSIOLOG
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-05 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10713044
• 关键词: Adolescent and Young Adult; Africa; African; Artificial Intelligence; Attention; Awareness; Bioinformatics; Biological Sciences; Child; Clinical; Collaborations; Communicable Diseases; Communities; Data; Data Analyses; Data Science; Data Set; Decision Making; Discipline; Disease; Disparate; Eastern Africa; Ethics; Foundations; Generations; Genome; Growth; Health; Health Benefit; Health Personnel; Health Sciences; Healthcare; Heredity; Human; Human Genetics; Human Resources; India; Individual; International; Internships; Kenya; Knowledge; Lead; Machine Learning; Measurable; Mental Health; Mentorship; Michigan; Microbial Genetics; Modeling; Mothers; Outcome; Output; Personal Satisfaction; Reproducibility; Research; Research Personnel; Research Training; Risk; Service setting; Structure; Students; System; Thinking; Training; Training Programs; United States; Universities; Vision; bioinformatics network; career development; climate data; clinical practice; cost; design; empowerment; experience; genome sequencing; hackathon; health care service; health training; human subject; improved; insight; open data; pathogen; personalized intervention; programs; skills; statistics; tool; vector

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.

摘要 研究培训计划“Eneza数据科学：提高数据科学能力 东非卫生和工具”建立在阿加汗大学的UZIMA DS-I非洲项目的基础上， 其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 非洲遗传学（h3africa.org）计划;东非生物信息学培训网络 （EANBiT）和H3 ABioNet，泛非生物信息学网络。EANBiT作为主要的 生物信息学硕士毕业生，其中包括一个为期五周的密集 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载体以及微生物和人类遗传学。H3ABioNet 已经建立了一个可访问的和分布式的生物信息学培训（IBT）介绍， 在非洲，中级课程通常同时有大约1000名学生。ICIPE将领导 Eneza数据科学，基于通过H3非洲获得的经验，与 阿加汗大学，以及来自密歇根大学，美国 美国非洲国际大学（USIU-非洲，总部设在内罗毕）; 肯尼亚和印度的开放制药基金会。该计划汇集了 机器学习/人工智能的跨学科专业知识，临床实践， 统计学、生物信息学和对热带传染病的广泛了解。我们 我将Eneza数据科学构建为可重复的短期培训和实习 可衡量地增强数据科学能力并提供增长机会的管道 传染性和非传染性疾病研究和临床合作 该地区的社区。Eneza是斯瓦希里语，意思是“传播”或“传播”， 我们的愿景是，我们将逐步提高个人技能和培训人数， 应用数据科学工具改善医疗保健决策的卫生部门人员 服务设置。该方案的具体目标是：目标1：建立一个合作平台， 促进和加强数据科学，促进健康培训和职业发展;目的 2：通过参与建立对健康数据科学需求的认识， 利益相关者在临床环境中发展数据科学工具的应用;目标3：设计一个 培训模式，结合短期课程，黑客马拉松和导师计划，以建立 临床医生、研究人员、培训人员和受训人员的能力。