Analysis of the prevalence of HIV Using Fractal Statistical Analysis

Abstract

The current body of knowledge regarding the global problem of HIV/AIDS is limited regarding analyzing the distribution of global patterns that will reveal new and previously hidden information. This study intended to uncover the hidden dimensions of the global prevalence of Human Immunodeficiency Virus using the descriptive-correlational design through fractal statistical analysis and regression analysis. The data on the global distribution of the percentage of the population ageing 15 to 49 infected with HIV from the World Health Organization was analyzed through fractal statistical analysis to find if the distribution has veered away from the state of nature and determine hidden dimensions. Initial analysis revealed that the current state of distribution of the percentage of population ageing 15 to 49 infected with HIV is still in the fractal state. Also, this study established that political stability score, per capita GNP and the country’s distance from Congo, were the hidden dimensions of the current state of distribution of the percentage of population ageing 15-49 infected with HIV. This paper concluded that the spread of HIV is influenced by individual, social, and structural factors. In addition, maintaining peace and striving for economic prosperity are also major weapons in battling the spread of the disease in addition to advances in medicine.