Acceptability and feasibility of digital adherence technologies for drug-susceptible tuberculosis treatment supervision: A meta-analysis of implementation feedback

Kevin Guzman, Rebecca Crowder, Anna Leddy, Noriah Maraba, Lauren Jennings, Shahriar Ahmed, Sonia Sultana, Baraka Onjare, Lucas Shilugu, Jason Alacapa, Jens Levy, Achilles Katamba, Alex Kityamuwesi, Aleksey Bogdanov, Kateryna Gamazina, Adithya Cattamanchi, Amera Khan

Improving Tuberculosis Case Detection in Children: Summary of Innovations and Findings From 18 Countries

Rahman MT, Malik AA, Amanullah F, Creswell J.

Comparative assessment of the costeffectiveness of Tuberculosis (TB) active casefinding interventions: A systematic analysis of TB REACH wave 5 projects

Gomes I, Dong C, Vandewalle P, Khan A, Creswell J, Dowdy D, Sohn H.

What makes community health worker models for tuberculosis active case fnding work? A cross-sectional study of TB REACH projects to identify success factors for increasing case notifcations

Dam TA, Forse RJ, Tran PMT, Vo LNQ, Codlin AJ, Nguyen LP, Creswell J.

Innovative approaches to end TB in Pakistan: a review of TB REACH projects from 2010 to 2020

Malik F, Creswell J

Systematic Review of Pooling Sputum as an Efficient Method for Xpert MTB/RIF Tuberculosis Testing during the COVID-19 Pandemic.

Luis E. Cuevas, Victor S. Santos, Shirley Verônica Melo Almeida Lima, Konstantina Kontogianni, John S. Bimba, Vibol Iem, Jose Dominguez, Emily Adams, Ana Cubas Atienzar, Thomas Edwards, S. Bertel Squire, Patricia J. Hall, and Jacob Creswell

Finding the missing millions: lessons from 10 active case finding interventions in high tuberculosis burden countries.

Tripti Pande, Nathaly Aguilera Vasquez, Danielle Cazabon, Jacob Creswell, Miranda Brouwer, Oriol Ramis, Robert Hartley Stevens, Ramya Ananthakrishnan, Shahina Qayyum, Chukwuka Alphonsus, Charity Oga-Omenka, Vaidehi Nafade, Paulami Sen, Madhukar Pai

Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems.

Qin ZZ, Sander MS, Rai B, Titahong CN, Sudrungrot S, Laah SN, Adhikari LM, Carter EJ, Puri L, Codlin AJ, Creswell J

School and household tuberculosis contact investigations in Swaziland: Active TB case finding in a high HIV/TB burden setting

Piluca Alonzo Ustero, Alexander W. Kay, Katherine Ngo, Rachel Golin, Bhekisisa Tsabedze, Bulisile Mzileni, Jessica Glickman, Mildred Wisile Xaba, Gcinile Mavimbela, and Anna Maria Mandalakas 5 June 2016 - PLOS ONE

Comparative meta-analysis of tuberculosis contact investigation interventions in eleven high burden countries.

L Blok, S Sahu, J Creswell, S Alba, R Stevens, and MI Bakker 26 March 2015 - PLOS One