Tuberculosis (TB) has claimed many lives throughout the history of mankind and itrncontinues to be a global threat in the coming decades, especially in developing countriesrnlike Ethiopi a. The incidence and mortality due to TB cases is not equally distributedrnacross the globe; they vary by geographic region, subpopulation, and spread by close andrnprolonged contact with an infected individual.rnThe main aim of this study is to examine and characterize the spatial patterns of TB casesrnin East Hararge Zone, Oromia region, Ethiopia. The data used are obtained from ZonalrnHealth Bureaus. Two step exploratory spatial analyses were carried out: - examining thernpresence of spatial autocorrelations and modeling spatial di stribution of TB cases viarnautoregressive models. Spatial autocorrelation was investigated by global and local testrnstatistics; Moran's 1, Geary's C, and Ord and Gelis Gi * statistics. Two different spatialrnmodels; spatial autoregressive models (SAil) and conditional autoregressive modelrn(CAli) were considered for describing spatial dependence of TB cases on local riskrnfactors.rnTest results of spatial autocorrelations revealed statistically significant clustering ofrnfifteen woredas; of which seven woredas (iocated in north and eastern part) werernidentified as high risk areas. Spatial lag model from spatial autoregressive models andrnCAR model has been fitted for describing the spatial association of TB cases onrnexplanatory variables. The result of the study suggests that TB prevalence of the studyrnarea is highl y enhanced by proximity to potential affected areas, high population densi ty,rnHIV prevalence and di stance from (number of) health institutions.