Background
Health research capacity across sub-Saharan Africa is limited by inadequate access to context-relevant, user-friendly training in epidemiology, biostatistics, and research methods skills foundational to the success of digital health systems. Many researchers and clinicians, particularly in resource-constrained settings, lack formal training in data analysis and interpretation, which limits their engagement in evidence-based decision-making and digital transformation processes.
Objectives
To develop and scale a digital platform (NEMBio) that enhances the ability of students, researchers, and healthcare professionals in Africa to understand, apply, and interpret core epidemiological and statistical concepts relevant to public health and clinical research.
Methods
NEMBio was developed through collaboration with faculty from the University of Nairobi’s School of Public and Global Health. It offers an offline-first, low-bandwidth-optimized web platform featuring modular, graded training content in epidemiology, biostatistics, and research methods. Content is designed for non-statisticians and presented in high quality content to support independent learning, blended instruction, or formal academic integration. Features include downloadable resources, adaptive sequencing, and real-world examples relevant to LMIC settings. The app is built on a scalable MongoDB, Express.js, Vuejs and Nodejs with Websocket and Graphql for API real time data exchange and scalable handling.
Results
Initial implementation demonstrates that NEMBio is accessible to users in rural and urban settings, supports hybrid and self-paced learning, and fills a critical gap in the foundational skills needed to engage with digital health registries, surveillance platforms, and research databases. Institutions have adopted NEMBio as a supplemental teaching tool, and early feedback indicates improved confidence in interpreting statistical results.
Conclusion
NEMBio exemplifies how digital learning platforms can enhance the scalability and sustainability of health systems by building core research competencies. As digital health ecosystems evolve, tools like NEMBio are vital for ensuring that data-driven innovation is inclusive, ethical, and grounded in strong methodological practice.
Keywords: Digital capacity-building; epidemiology; biostatistics;research methods; scalable learning; digital health systems;sub-Saharan Africa;GEP
