This article, published in Tropical Medicine & International Health, aims to identify the spatial and temporal trends, and epidemiologic correlates, of HIV clusters in Ethiopia. The authors use biomarker and survey data from the 2005, 2011, and 2016 Ethiopia Demographic and Health Surveys (DHS), and the spatial-temporal distribution of HIV is estimated using the Kulldorff spatial scan statistic, a likelihood-based method for determining clustering. The study results indicate that in Ethiopia, geographic HIV clusters are driven by different risk factors. Decreasing the HIV burden will therefore require targeted interventions.