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

Zenodo (CERN European Organization for Nuclear Research) 2026 Preprint Open access

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Authors: Chika Ananaba
DOI: 10.5281/zenodo.18255338
Cited by: 0

Abstract

This preprint contains an abstract based on a retrospective analysis of routinely collected HIV testing services (HTS) data from Kebbi, Sokoto, and Zamfara States in Nigeria during FY25 (October 2024 to September 2025). The analysis examines HIV testing yield patterns and predictors of HIV positivity to inform more efficient case identification strategies in low-yield settings.

Fields of Study & Subjects

HIV/AIDS Research and Interventions HIV Drug Use Sexual Risk HIV/AIDS Impact and Responses

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026
Language
EN
Document type
Preprint