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 和东非的健康工具“建立在Aga Khan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，精神上 肯尼亚的高风险青少年和年轻人的健康成果以及生物信息学 在人类健康中发展的研究和能力建设计划 非洲遗传（h3africa.org）计划；东非的生物信息学培训网络 （EANBIT）和泛非生物信息学网络H3Abionet。 Eanbit是主要的 输出大师级毕业生的生物信息学，其中包括一个五周的密集型 导致在一系列生物科学学科中进行论文研究的住宅培训计划， 包括感染性病原体和载体以及微生物和人类遗传学。 h3abionet 已经建立了对生物信息学培训（IBT）和 在非洲，通常有约1000名学生的中级课程。 ICIPE将领导 Eneza数据科学是基于通过H3africa获得的，与 阿加汗大学（Aga Khan University）和密歇根大学的专家的支持 非洲国际大学（USIU-AFRICA，总部位于内罗毕）； Pwani University IN 肯尼亚和印度开放制药基金会。这个程序汇集了 机器学习 /人工智能，临床实践方面的跨学科专业知识， 统计，生物信息学和热带传染病的广泛知识。我们 已经将ENEZA数据科学构建为可重复的短期培训和实习 管道可测量地增强数据科学能力并提供成长的机会 跨传染性和非传染性疾病的合作研究和临床 该地区的社区。 Eneza是一个斯瓦希里语的词，意为“传播”或“传播”，并且 我们的愿景是，我们将逐步为个人技能和受过训练的人数做出贡献 卫生部门的人员使用数据科学工具来改善医疗保健的决策 服务设置。该计划的特定目的是：目标1：开发一个协作平台 促进和加强对健康培训和职业发展的数据科学；目的 2：通过在与数据科学的需求中建立认识 利益相关者在临床环境中增加数据科学工具的应用；目标3：设计 培训模型结合了简短课程，黑客马拉松和指导计划的培训模型 临床医生，研究人员，培训师和学员的能力。