Anteneh ZA, et al. - A multilevel analysis was designed to ascertain regional variations and identify factors correlated with the infection. Researchers applied data from the Ethiopian Demographic and Health Survey in 2016. In this analysis, a sum of 10,006 children were recruited. They applied a two-level logistic regression analysis to consider the cluster random effect. In Ethiopia, acute respiratory infection (ARI) is still a significant public health problem among children under-five, with a huge variation in the burden across the regional states. The results showed that the age of children, birth size, household cooking fuel, and altitude above sea level were important variables. Hence, regional governments, health-care workers and concerned organizations should emphasize to reduce ARI and the consequences correlated with the disease.