A Longitudinal Multilevel Zero-Inflated Poisson Regression Modeling of Infectious Diseases among Young Children in Ethiopia aims to estimate the rate of change in the log expected number of days a child suffers from diarrhea and flu among 2,356 children across 35 clusters aged 6 to 11 at the baseline of the study. It uses secondary data with a longitudinal and multilevel structure to analyze the outcomes using a multilevel zero-inflated Poisson regression model.