A comparative analysis of classical and machine learning methods for forecasting TB/HIV co-infection.

The absence of a decreasing trend in notifications suggests that current strategies and interventions to combat TB/HIV are insufficient to reduce the incidence of these conditions.

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However, the male incidence rate visually demonstrates a slightly increasing trend over time, especially with a peak around 2022, while the female incidence rate presents the lowest values on the scale over time, being visibly stable in the period.

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