CLUSTERING OF HIV PATIENTS IN ETHIOPIA

Abstract

Among many health problems HIV/AIDS epidemic has become a serious health and development problem in many countries around the world. The problem is also widely seen in Ethiopia. The study aims at clustering these HIV patients in Ethiopia. The main objective of this study was to identify and describe socioeconomic and demographic factors of HIV patients. The study is made based on the 2016 Ethiopian Demographic and health Survey (EDHS) which was conducted by Central Statistical Agency (CSA) of Ethiopia and the survey collected a total of 26753 of which 14785 are women and 11968 are men’s of age group 15-49 for women and 15-59 for men. Binary logistic regression statistical techniques were used for data analysis and to identify the most significant variables. Based on the binary logistic regression analysis ever heard of AIDS, region, water not available for at least a day last 2 weeks, has radio, place where household members wash their hands, location of source of water, anything done to water to make safe to drink, food cooked in the house/ separate building/ outdoors, has mobile telephone, table, type of place of residence, highest education level attained, current marital status, sex of household members and age of household members are significant variables. For these significant variables 12 principal components are identified which explain 78% of the variation in the data. The variables are clustered in to 3 clusters and determine the status of HIV levels and clusters of HIV patents. There are 3 clusters of HIV patients, where 50% of HIV patients are in cluster 2and the rest 40%and 10% in cluster 3 and 1 respectively.