Bezalem Eshetu Yirdaw

PhD Overview

As part of my doctoral research, I am developing a statistical model called a multilevel Bayesian network. This model helps to understand how different childhood diseases are related while accounting for variations between children from different clusters, such as regions or hospitals. I demonstrated the real-life application of the model using child morbidity data collected from primary health facilities in Ethiopia on children with severe acute malnutrition (SAM) who started ready-to-use therapeutic food (RUTF) treatment. This research helps identify how different health outcomes (e.g., diseases) interact in children with SAM, providing insights for better treatment strategies and improved wellbeing.