STEM-Driven Public Health Literacy : Using Data Visualization and Analytics to Improve Disease Awareness in Secondary Schools
Onuh Matthew Ijiga, Ginikachi Prisca Ifenatuora, Mariam Olateju
Abstract
In an increasingly data-driven world, the integration of STEM (Science, Technology, Engineering, and Mathematics) education into public health awareness initiatives offers a transformative pathway for improving health literacy among adolescents. This review explores the potential of leveraging data visualization and analytics within secondary school curricula to foster early understanding of disease patterns, transmission dynamics, and preventive strategies. By drawing on recent studies in STEM pedagogy, public health education, and digital learning technologies, the paper examines how interactive tools and real-time health data can empower students to engage critically with public health issues. Special emphasis is placed on visual analytics platforms, project-based learning models, and interdisciplinary teaching approaches that blend biology, statistics, computer science, and social studies. The review also considers challenges related to data accessibility, curriculum integration, and educator capacity, and suggests best practices for policy implementation. Ultimately, this paper advocates for a STEM-centered educational model that not only enhances disease awareness but also cultivates future-ready, health-conscious citizens.