Evaluating the Healthcare Implications of a Mathematical Model for HIV/AIDS in Kebbi State and IT Control Strategy.

The healthcare implications of a mathematical model for HIV/AIDS in Kebbi State, Nigeria, are assessed in this study with an emphasis on data analysis, treatment results, and control measures.A statistical analysis of ART enrollment, patient retention, viral load suppression, and lost-to-follow-up (LTFU) cases was performed using HIV/AIDS patient data from five healthcare systems.With adult patients making up the majority and pediatric and adolescent involvement remaining low, the results show notable differences in ART uptake.With high viral load suppression (mean = 92.4%)and retention rates ranging from 78% to 88%, treatment adherence appears to be effective.Nonetheless, discrepancies in LTFU and PMTCT acceptance rates draw attention to structural problems such stigma, inaccessibility, and insufficient follow-up procedures.Overall ART enrollment has increased, according to trend analysis, but sporadic drops point to obstacles affecting continuity of care.In order to reduce LTFU rates and improve HIV/AIDS management in Kebbi State, the study emphasizes the necessity of improved maternal HIV interventions, improved patient retention strategies, and focused socioeconomic support.