The Effect of HIV Related Risk Factors on HIV Status: A Case of Gamo-Gofa Free Standing Voluntary Counseling and Testing Center
Science Journal of Applied Mathematics and Statistics
Volume 6, Issue 4, August 2018, Pages: 130-134
Received: Jul. 28, 2018; Accepted: Oct. 17, 2018; Published: Nov. 12, 2018
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Tesfahun Zewde Legisso, Department of Statistics, Arba Minch University, Arba Minch, Ethiopia
Markos Abiso Erango, Department of Statistics, Arba Minch University, Arba Minch, Ethiopia
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HIV/AIDS is a major development concern in many countries and is destroying the lives and livelihoods of many people around the world. This study is aimed to assess the demographic and HIV related risk behavior factors that may affect HIV status of the visitors of VCT centers. A cross sectional study was conducted in Gamo-Gofa districts, Southern Nations Nationalities and Peoples Regional State of Ethiopia. A total of 4028 sample were selected using stratified random sampling technique. Data were collected with a designed questionnaire from 20 voluntary counseling and testing center of the districts. If the clients visit VCT center is HIV-infected, it is categorized as HIV positive and if the client test is indicated not HIV-infected, then the visitor categorized as HIV negative status. The Binary logistic regression model was used to analyze the data using the SPSS software. The results of the study revealed that the probability of an individual being HIV positive was 0.0286 and the predictor’s variables age, marriage status, education level, alcohol use, knowledge about HIV, monthly income, condom use and residence of the individual were significantly effect on being HIV-positive. Health professionals and responsible bodies should work on these significant variables to reduce the probability of being HIV positive.
HIV, Logistic Regression, VCT
To cite this article
Tesfahun Zewde Legisso, Markos Abiso Erango, The Effect of HIV Related Risk Factors on HIV Status: A Case of Gamo-Gofa Free Standing Voluntary Counseling and Testing Center, Science Journal of Applied Mathematics and Statistics. Vol. 6, No. 4, 2018, pp. 130-134. doi: 10.11648/j.sjams.20180604.14
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This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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