Developed a Shiny application to visualize malaria burden in Ethiopia at a subnational level, providing actionable insights for researchers and policymakers. The tool offers dynamic visualizations to explore trends in malaria incidence, prevalence, and disability-adjusted life years (DALYs) across different regions and demographic groups.
Key Contributions:
● Designed and implemented an interactive dashboard using R Shiny to allow users to analyze malaria trends over time and across regions.
● Incorporated filters for demographic variables like sex and disease metrics, enabling tailored insights for health interventions.
● Leveraged robust datasets to present clean and accessible visualizations, supporting evidence-based public health strategies.
● Collaborated with domain experts to ensure the tool aligned with key public health priorities and decision-making needs.
Skills Used: Data Analysis, R, Shiny App Development, Excel, SQL, Data Visualization, Public Health Analytics.