Data-Driven Decision-Making in Global Public Health

(3 Credits)

This course develops skills and competencies in making data-driven decisions to improve global public health outcomes, especially in high disease and malnutrition-burden environments. It is based on a framework of enabling environment, supply, demand, and quality factors that affect the effective coverage of services that would prevent outcomes such as under-5 mortality, neonatal mortality, maternal mortality and stunting. The class will introduce decision support platforms developed by UNICEF, WHO, and the World Bank that help public health professionals choose between available strategies and interventions in a high burden country to reduce adverse health and nutrition outcomes.