![]() ![]() Also, the younger the age groups the higher the effect and significance in the likelihood to ever test for HIV. Generally, the results show that education, especially higher education significantly (OR = 0.53, 95% = 0.230, 0.837) increases the likelihood to ever test for HIV. ![]() STATA version 14.1 and R version 3.5.2 were used to carry out the statistical analyses. We applied the Chi-Square test statistic and the logistic regression model to the data in order to study the effects of these risk factors on one’s decision to ever test for HIV. The data used in this paper were obtained from the Ghana Demographic and Health Survey (n = 1828 observations and 32 risk factors). Hence the aim of this paper is to investigate the effects of various risk factors that are likely to influence decision to ever test for HIV/AIDS. However, most people still do not know their HIV status because they are not willing to test for HIV/AIDS due to various reasons. Knowledge on individual’s HIV/AIDS status provides a tool to reduce or avoid HIV transmission, spread and mortalities due to HIV-related illness. HIV Testing Decision and Determining Factors in GhanaĪUTHORS: Abdul-Karim Iddrisu, Kwaku Opoku-Ameyaw, Francis Kwame Bukari, Bashiru Mahama, Jerry John Amaasende AkootiĪIDS, Chi-Square Test Statistic, Ghana Demographic and Health Survey, HIV, HIV-TB Co-Infection, Logistic Regression Model, Risk Factors ![]()
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