Improving HIV case finding using spatial data infrastructures in Anambra State, Nigeria: a pre-post intervention study
SDI can facilitate HIV case identification. Our study revealed twice as many cases identified across the periods compared. Our pioneering use of SDI for HIV case finding in Nigeria offers promise for efficient HTS implementation in high-burden and yet-to-be-identified locations.
Authors
- Keziah Uchechi Ajah (ORCID: https://orcid.org/0000-0002-2779-1610)
- Emmanuel Aniekan Essien (ORCID: https://orcid.org/0000-0002-9920-9159)
- Philip Imohi (ORCID: https://orcid.org/0000-0003-3901-4154)
- Monica Anurika Gbuchie (ORCID: https://orcid.org/0009-0004-1703-2970)
- Faithful Miebaka Daniel
- Bonaventure Michael Ukoaka (ORCID: https://orcid.org/0009-0000-9367-2612)
- Emmanuel Arinze Ugwuanyi (ORCID: https://orcid.org/0009-0008-8741-9942)
- Kevin Orhoverhuvwu Ukueku
- John A. Alawa
Institutions
- University of Port Harcourt (NG)
- Nnamdi Azikiwe University (NG)
- Federal Neuro Psychiatric Hospital (NG)
- Achieving Health Nigeria Initiative (NG)
- AIDS Prevention Initiative in Nigeria (NG)
- Pro Health International (NG)
- Excellence Community Education Welfare Scheme (NG)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-02-12
- DOI
- https://doi.org/10.1186/s12889-025-21811-7
- Citations
- 1
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- FHI 360