The Relationship between Economics Factors & HIV-Infected Population around the World

Abstract

It is known that poverty and HIV rates are highly correlated so that sample estimations of applying poverty to inspect HIV is subjective and biased. Thus, the aim of this paper is to investigate the impact of different factors collectively on the rates of HIV across 37 countries and regions around the world. Due to the limitation of finding completely accurate and continuous data for one country chronologically, the data for each individual country is from the year 2000. This paper provides an empirical evaluation of Education, Healthcare is and Unemployment rates and examines whether a correlation is presented among the three independent factors. Data shows a statistically significant relationship between Health care and Unemployment and the HIV-Infected rate. It is surprising that the Education factor had the inverse impact than anticipated and the reason is noteworthy and thought-provoking, suggesting the potential faults in HIV-Education programs. The statistical value of the Education factor presents the failure of allocating educating resources and positively educating people about HIV.

Keywords: Regression, HIV-Infected Population, Education, Unemployment rate, Healthcare.