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BMJ Global Health|February 15, 2022
Pooled testing of sputum with Xpert MTB/RIF and Xpert Ultra during tuberculosis active case finding campaigns in Lao People's Democratic RepublicVibol Iem, Phonenaly Chittamany, Sakhone Suthepmany, et al.
Tropical Medicine and Infectious Disease|October 29, 2020
The TB REACH Initiative: Supporting TB Elimination Efforts in the Asia-PacificJacob Creswell, Amera Khan, Mirjam I Bakker, et al.
BMC Global and Public Health|August 5, 2024
Expanding molecular diagnostic coverage for tuberculosis by combining computer-aided chest radiography and sputum specimen pooling: a modeling study from four high-burden countriesAndrew James Codlin, Luan Nguyen Quang Vo, Tushar Garg, et al.
The Lancet. Infectious Diseases|June 19, 2012
Engaging the private sector to increase tuberculosis case detection: an impact evaluation studyAamir J Khan, Saira Khowaja, Faisal S Khan, et al.
Scientific Reports|October 20, 2019
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systemsZhi Zhen Qin, Melissa S Sander, Bishwa Rai, et al.
Plos One|September 29, 2022
Pooling samples to increase testing capacity with Xpert Xpress SARS-CoV-2 during the Covid-19 pandemic in Lao People's Democratic RepublicVibol Iem, Phonepadith Xangsayarath, Phonenaly Chittamany, et al.
BMC Infectious Diseases|January 4, 2014
Results from early programmatic implementation of Xpert MTB/RIF testing in nine countriesJacob Creswell, Andrew J Codlin, Emmanuel Andre, et al.
BMC Global and Public Health|December 16, 2024
Early user perspectives on using computer-aided detection software for interpreting chest X-ray images to enhance access and quality of care for persons with tuberculosisJacob Creswell, Luan Nguyen Quang Vo, Zhi Zhen Qin, et al.
Cureus|August 25, 2025
The Burden of Depression and Stigma Among Individuals With Tuberculosis Within the Integrated Tuberculosis-Mental Health Project: A Multisite Mixed-Methods Study ProtocolNgozi Murphy-Okpala, Charles Nwafor, Chinwe Eze, et al.
The Lancet. Digital Health|July 20, 2024
Computer-aided detection of tuberculosis from chest radiographs in a tuberculosis prevalence survey in South Africa: external validation and modelled impacts of commercially available artificial intelligence softwareZhi Zhen Qin, Martie Van der Walt, Sizulu Moyo, et al.
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