Lessons learnt from assessing and improving accuracy and positive predictive value of the national HIV testing algorithm in Nigeria.

Augustine O Mpamugo Nnaemeka C Iriemenam Adebobola T Bashorun Olumide O Okunoye Orji O Bassey Edewede Onokevbagbe Tapdiyel D Jelpe Matthias A Alagi Chidozie Meribe Rose E Aguolu Charles E Nzelu Segun Bello Babatunde Ezra Christine A Obioha Ibrahim Baffa Sule Oluwasanmi Adedokun Akudo E Ikpeazu Chikwe Ihekweazu Talishiea Croxton Sylvia B Adebajo McPaul I J Okoye Alash'le G Abimiku

Published in: African journal of laboratory medicine (2024)

This study provides context-specific considerations in using World Health Organization recommendations to evaluate the Nigerian national HIV rapid testing algorithm.

Keyphrases

hiv testing
men who have sex with men
hiv positive
machine learning
quality improvement
deep learning
human immunodeficiency virus
antiretroviral therapy
hiv infected
hepatitis c virus
neural network
clinical practice
hiv aids
loop mediated isothermal amplification