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Predicting, Diagnosing, and Treating Acute and Early HIV Infection in a Public Sector Facility in Eswatini
Author(s) -
Bernhard Kerschberger,
Aung Aung,
Qhubekani Mpala,
Nombuso Ntshalintshali,
Charlie Mamba,
Michael Schomaker,
Marie Luce Tombo,
Gugu Maphalala,
Dumile Sibandze,
Lenhle Dube,
Rufaro Kashangura,
Simangele Mthethwa-Hleza,
Alex Telnov,
Roberto de la Tour,
Alan González,
Alexandra Calmy,
Iza Ciglenečki
Publication year - 2021
Publication title -
journal of acquired immune deficiency syndromes
Language(s) - English
Resource type - Journals
eISSN - 1944-7884
pISSN - 1525-4135
DOI - 10.1097/qai.0000000000002794
Subject(s) - serodiscordant , medicine , confidence interval , logistic regression , incidence (geometry) , human immunodeficiency virus (hiv) , viral load , immunology , antiretroviral therapy , physics , optics
The lack of acute and early HIV infection (AEHI) diagnosis and care contributes to high HIV incidence in resource-limited settings. We aimed to assess the yield of AEHI, predict and diagnose AEHI, and describe AEHI care outcomes in a public sector setting in Eswatini.

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