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.

抽象的 研究培训计划“Eneza 数据科学：增强数据科学能力 东非的健康和工具”建立在阿迦汗大学的 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、心理 肯尼亚高危青少年和年轻人的健康结果以及生物信息学 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) 和泛非洲生物信息学网络 H3ABioNet。 EANBiT 作为主要 输出生物信息学硕士水平的毕业生，其中包括为期五周的强化课程 住院培训计划，导致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。 H3A生物网 建立了一个可访问且分布式的生物信息学入门培训 (IBT) 以及 在非洲，中级课程通常有约 1000 名学生同时参加。 ICIPE 将引领 Eneza Data Science 基于通过 H3Africa 获得的经验，与 阿迦汗大学，以及美国密歇根大学专家的支持 非洲国家国际大学（USIU-Africa，总部位于内罗毕）；普瓦尼大学位于 肯尼亚和印度开放制药基金会。这个节目汇集了 机器学习/人工智能、临床实践的跨学科专业知识， 统计学、生物信息学和热带传染病的广泛知识。我们 将 Eneza 数据科学构建为可重复的短期培训和实习 显着增强数据科学能力并提供成长机会的管道 传染病和非传染性疾病研究和临床方面的合作 该地区的社区。 Eneza 是斯瓦希里语单词，意思是“传播”或“传播”，并且 我们的愿景是，我们将逐步提高个人技能和受过培训的人数 应用数据科学工具来改善医疗保健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 促进和加强健康培训和职业发展的数据科学；目的 2：通过参与来提高对数据科学促进健康的必要性的认识 利益相关者扩大数据科学工具在临床环境中的应用；目标 3：设计一个 结合短期课程、黑客马拉松和导师计划的培训模式 临床医生、研究人员、培训师和受训人员的能力。