Optimising HIV Case Identification in Low-Yield Settings: Evidence from Routine Programme Data in Kebbi, Sokoto, and Zamfara States, Nigeria

Key Points

• The aim is to identify patterns and predictors of HIV positivity using routine testing data to enhance case identification strategies.
• Conducted a retrospective analysis of HIV testing services data from Kebbi, Sokoto, and Zamfara States.
• Focused on data collected during FY25 from October 2024 to September 2025.
• Examined testing yield patterns and predictors of HIV positivity to guide strategies.
• Identified specific patterns in HIV testing yields across the regions studied.
• Unveiled predictors that can enhance case identification in low-yield settings.