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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Optimising HIV Case Identification in Low-Yield Settings: Evidence from Routine Programme Data in Kebbi, Sokoto, and Zamfara States, Nigeria

Authors: Ananaba, Chika;

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

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.

Keywords

Case finding, Routine programme data, Nigeria, Index testing, Provider Initiated Testing, Positivity yield, HIV Testing Services

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green