Abstract:
Tuberculosis (TB) is the major cause of health problems in Ethiopia, accounting for more than
thousands of cases and deaths occurring annually. The risks of morbidity and mortality
associated with TB are characterized by spatial variations across the country
This study examines the spatial patterns of Tuberculosis in Wombra district and identifies those
variables that determine TB clustering. It attempt to examine the global and local patterns of TB
distribution by using individual morbidity data collected from Wombra district Health center
office in (September, 2007 to June 2010). These were used in identifying areas of hot spot for
giving strong care in monitoring and to reduce TB distribution. The total numbers of TB patients
covered in this study were 364
in 15 Kebles significant TB clustering of similar values were observed by using cluster map
while the remaining Kebles a significant TB clustering of dissimilar values was observed.
Furthermore spatial auto logistic analyses are used in this study. The findings of these models
have shown that all explanatory variables (Sex Age, HIV status, Travel history, Residence and
Confected disease) are significantly associated with TB disease distribution.
There is evidence of significant TB clustering in wombera district. Significant hot spots and cold
Spots of TB clusters were identified in 15 Keble. Auto logistic and auto logistic regression
analysis show a decrease in TB case loading with increasing number of health centers.
Additionally, it is BMI and HIV status that is highly associated with TB case loading
