Exploring the diagnostic accuracy of an HIV self-test optimized by a digital app-based solution: Results from a secondary data analysis of a field trial in South Africa

Ashlyn Beecroft; Aliasgar Esmail; Olivia Vaikla; Thomas Duchaine; Nora Engel; Chen Liang; Qihuang Zhang; Keertan Dheda; Nitika Pant Pai

doi:10.1371/journal.pdig.0000791

Exploring the diagnostic accuracy of an HIV self-test optimized by a digital app-based solution: Results from a secondary data analysis of a field trial in South Africa

Ashlyn Beecroft
, Aliasgar Esmail
, Olivia Vaikla
, Thomas Duchaine
, Nora Engel
, Chen Liang
, Qihuang Zhang
, Keertan Dheda
, Nitika Pant Pai

McGill University
University of Cape Town
Department of Health
Maastricht University

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	e0000791
Journal	PLOS Digital Health
Volume	4
Issue number	4
DOIs	https://doi.org/10.1371/journal.pdig.0000791
State	Published - Apr 2025
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 5 Gender Equality

ASJC Scopus Subject Areas

Health Informatics

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10.1371/journal.pdig.0000791

Cite this

Beecroft, A., Esmail, A., Vaikla, O., Duchaine, T., Engel, N., Liang, C., Zhang, Q., Dheda, K., & Pai, N. P. (2025). Exploring the diagnostic accuracy of an HIV self-test optimized by a digital app-based solution: Results from a secondary data analysis of a field trial in South Africa. PLOS Digital Health, 4(4), Article e0000791. https://doi.org/10.1371/journal.pdig.0000791

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AU - Duchaine, Thomas

AU - Engel, Nora

AU - Liang, Chen

AU - Zhang, Qihuang

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AU - Pai, Nitika Pant

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Exploring the diagnostic accuracy of an HIV self-test optimized by a digital app-based solution: Results from a secondary data analysis of a field trial in South Africa

UN SDGs

ASJC Scopus Subject Areas

Access to Document

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