Analysis of six major opportunistic infections to understand the high deaths among HIV/ AIDS patients: A Case of Homa Bay District Hospital

Abstract

Two-way analysis of variance tests the equality of population means when classification of treatments is by two factors or variables. Twoway ANOVA is possible if there exist one measurable and two nominal variables. Principles of experimental design were used in the layout, considering that disease distribution is addressed in terms of time, place and gender. Sampling techniques was used in the selection of the period of attack and cases studied. Duration between initiation of anti-retroviral drugs and an attack of an infection was the measurable variable of the two factors analyzed where cases considered had been on the therapy for more than six months. Gender at two levels and major opportunistic infections associated with HIV / AIDS at six levels were the factors in the design. Opportunistic infections associated with the HIV / AIDS epidemic based on gender were analyzed considering that funding for the fight against the disease is directed to incident rate reduction while deaths due to HIV / AIDS complications has continued to be high. Homabay district has a HIV prevalence rate of 17%. Reasons for the high deaths were unsatisfactory besides being less quantitatively statistical. We examine already infected society in order to guide and give clear situation analysis.