Statistical Analysis of Spatial Distribution of Tuberculosis in North Shoa Zone, Ethiopia
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Date
2011-05
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Addis Abeba university
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. For instance,
Oromia is a region with the largest number of TB cases in Ethiopia (36.80%) and the share of
North Shoa Zone is really quite big (FMOH, 2008).
This study examines the spatial patterns of TB in North Shoa Zone and identifies those variables
that determine TB clustering. We examine the global and local patterns of TB distribution by
using individual morbidity data collected from North Shoa Health Bureau in 2008. Global
Moran’s I, Geary’s C and Moran scatter plot are used in determining distribution of TB. These
were used in identifying areas of hot spot for giving strong care in monitoring and to reduce TB
distribution.
The values for Global Moran’s I shows that the presence of significant TB clustering in North
Shoa Zone. And in six woredas significant TB clustering of similar values were observed by
using cluster map while only in one woreda a significant TB clustering of dissimilar values was
observed. Furthermore, Poisson and negative binomial regression analysis are used in this study.
The findings of these models have shown that all explanatory variables (population density,
number of health centers and prevalence of HIV cases) are significantly associated with TB case
loading.
There is evidence of significant TB clustering in North Shoa Zone. Significant hot spots and cold
spots of TB clusters were identified in six woredas. Poisson and negative binomial regression
analysis show a decrease in TB case loading with increasing number of health centers.
Additionally, it is population density that is highly associated with TB case loading
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Keywords
Tuberculosis in North Shoa Zone