Abstract:
Background: Among the many worldwide health problems, HIV/AIDS has caused severe
health problems in several countries. The problem is also widely seen in Ethiopia. The general
objective of the study is to cluster HIV patients and to find out the factors that mostly affect the
prevalence of HIV within a group (cluster) and between groups (clusters) of HIV patients.
Methods: The study is made based on the 2016 Ethiopian Demographic Health Survey
(EDHS) which was collected by the Central Statistical Agency (CSA) of Ethiopia, and the
survey collected a total of 26,753 samples, of which 14,785 were women and 11,968 were
men and the age group was between 15 and 49 years for both. Binary logistic regression,
principal component analysis, cluster analysis, and ANOVA were applied to analyze the data.
Results: The result from binary logistic regression reveals that 15 factors such as ever heard of
AIDS, region, water not available for at least a day in the last 2 weeks, has a radio, family members
wash their hands, location of the source of water, everything completed to water to make it harmless
to drink, food cooked in the house/separate house/outside, has a mobile telephone, has a table, type
of place of residence, highest education level attained, current marital status, sex of household
members, and age of household members are all significant factors that affect HIV status.
Conclusion: Using these significant variables, 12 principal components are identified which
describe 78% of the variation in the data. The result of HIV patients are clustered into 3
clusters and determine the status of HIV levels. Mainly, cluster 2 accounts for 50% of HIV
patients whereas cluster 3 and 1 accounts for 40% and 10%, respectively
