A cost-benefit algorithm for rapid diagnosis of tuberculosis and rifampicin resistance detection during mass screening campaigns.

Valerie Flore Donkeng-DonfackJules Brice Tchatchueng-MbouguaNgu Njei AbandaSuzanne Magloire OngboulalYvonne Josiane DjieugoueYannick Kamdem SimoMicheline Mekemnang TchoupaFrédéric Bekang AnguiAlbert Kuate KuateVincent MbassaEdwige Mvondo Abeng BelingaSara Eyangoh

Published in: BMC infectious diseases (2022)

This study demonstrates the advantages of a diagnostic algorithm based on an initial testing with TB-LAMP followed by testing with Xpert MTB/RIF for TB diagnosis. This approach improved early and rapid TB detection with an added advantage of providing RR status. The proposed algorithm is effective and less costly from the second year of implementation and should be used by TB control programs.

Keyphrases

mycobacterium tuberculosis
loop mediated isothermal amplification
pulmonary tuberculosis
machine learning
sensitive detection
deep learning
primary care
healthcare
public health
label free
hepatitis c virus
hiv infected