The Somalia Mortality Estimation Database (S-MED) is an AI-enabled data platform developed to support evidence-based decision-making in public health and humanitarian response in Somalia. The platform integrates mortality data from surveys, surveillance systems, and partner datasets to enable robust analysis, visualization, and estimation of mortality trends across regions and population groups.
S-MED provides researchers, policymakers, and development partners with standardized, high-quality mortality estimates, supporting timely analysis of crisis impacts, health system performance, and population vulnerability. By combining statistical modeling with data science techniques, the platform improves data consistency, transparency, and usability in complex and data-constrained environments.
The platform is designed to strengthen data-driven policy, research, and planning, while promoting responsible data use and collaboration across institutions involved in health, nutrition, and humanitarian action in Somalia.
Key features include:
- Integrated mortality datasets from multiple sources
- Analytical dashboards and visualization tools
- Support for mortality modeling and trend analysis
- Research and policy-oriented data access