HIV/AIDS is a public health problem especially in sub-Saharan Africa where majority of infections\nand deaths occur. Despite the large number of studies and efforts made in covering the data gap\nusing mathematical models, little is known on how model estimates are confounded by the transmission\nvariabilities that exist in stages of HIV progression. This work investigates the impact of\nincluding stages of HIV transmission in HIV/AIDS models. A deterministic HIV/AIDS model is developed\nand extended to include stages of HIV progression of infected individuals. Theoretical investigation\nof the models and numerical analyses indicate that the two models produce different\nestimates, with the model without stages producing lower estimates than the staged model. These\nresults call for a careful consideration in evaluating the efficiency of HIV/AIDS models that are\nused to estimate and project the burden of HIV/AIDS disease.
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