Published on in Vol 6 , No 1 (2018) :Jan-Mar

Potential Application of Digitally Linked Tuberculosis Diagnostics for Real-Time Surveillance of Drug-Resistant Tuberculosis Transmission: Validation and Analysis of Test Results

Potential Application of Digitally Linked Tuberculosis Diagnostics for Real-Time Surveillance of Drug-Resistant Tuberculosis Transmission: Validation and Analysis of Test Results

Potential Application of Digitally Linked Tuberculosis Diagnostics for Real-Time Surveillance of Drug-Resistant Tuberculosis Transmission: Validation and Analysis of Test Results

Journals

  1. Ng K, van Deun A, Meehan C, Torrea G, Driesen M, Gabriëls S, Rigouts L, André E, de Jong B, Carroll K. Xpert Ultra Can Unambiguously Identify Specific Rifampin Resistance-Conferring Mutations. Journal of Clinical Microbiology 2018;56(9) View
  2. Torrea G, Ng K, Van Deun A, André E, Kaisergruber J, Ssengooba W, Desmaretz C, Gabriels S, Driesen M, Diels M, Asnong S, Fissette K, Gumusboga M, Rigouts L, Affolabi D, Joloba M, De Jong B. Variable ability of rapid tests to detect Mycobacterium tuberculosis rpoB mutations conferring phenotypically occult rifampicin resistance. Scientific Reports 2019;9(1) View
  3. Weinrick B, Land G. Genotyping of Mycobacterium tuberculosis Rifampin Resistance-Associated Mutations by Use of Data from Xpert MTB/RIF Ultra Enables Large-Scale Tuberculosis Molecular Epidemiology Studies. Journal of Clinical Microbiology 2019;58(1) View
  4. Lee Y, Raviglione M, Flahault A. Use of Digital Technology to Enhance Tuberculosis Control: Scoping Review. Journal of Medical Internet Research 2020;22(2):e15727 View
  5. Ng K, Ngabonziza J, Lempens P, de Jong B, van Leth F, Meehan C. Bridging the TB data gap: in silico extraction of rifampicin-resistant tuberculosis diagnostic test results from whole genome sequence data. PeerJ 2019;7:e7564 View

Books/Policy Documents

  1. Riojas M, Frank A, Greenfield S, King S, Meehan C, Strong M, Wattam A, Hazbón M. Mycobacteria Protocols. View