|
[1]
|
World Health Organization. Impact of the COVID-19 pandemic on TB detection and mortality in 2020. Geneva: World Health Organization; 2021. https://www.who.int/publications/m/item/impact-of-the-covid-19-pandemic-on-tb-detection-and-mortality-in-2020.https://www.who.int/publications/m/item/impact-of-the-covid-19-pandemic-on-tb-detection-and-mortality-in-2020 |
|
[2]
|
World Health Organization. Global tuberculosis report 2021. Geneva: World Health Organization. 2021. https://apps.who.int/iris/handle/10665/346387.https://apps.who.int/iris/handle/10665/346387 |
|
[3]
|
World Health Organization. Global tuberculosis report 2020. Geneva: World Health Organization; 2020. https://www.who.int/publications/i/item/9789240013131.https://www.who.int/publications/i/item/9789240013131 |
|
[4]
|
The CRyPTIC Consortium and the 100,000 Genomes Project. Prediction of susceptibility to first-line tuberculosis drugs by DNA sequencing. N Engl J Med 2018;379(15):1403 − 15. http://dx.doi.org/10.1056/NEJMoa1800474CrossRef
|
|
[5]
|
Miotto P, Tessema B, Tagliani E, Chindelevitch L, Starks AM, Emerson C, et al. A standardised method for interpreting the association between mutations and phenotypic drug resistance in Mycobacterium tuberculosis. Eur Respir J 2017;50(6):1701354. http://dx.doi.org/10.1183/13993003.01354-2017CrossRef
|
|
[6]
|
Sanchez-Padilla E, Merker M, Beckert P, Jochims F, Dlamini T, Kahn P, et al. Detection of drug-resistant tuberculosis by Xpert MTB/RIF in Swaziland. N Engl J Med 2015;372(12):1181 − 2. http://dx.doi.org/10.1056/NEJMc1413930CrossRef
|
|
[7]
|
World Health Organization. Catalogue of mutations in Mycobacterium tuberculosis complex and their association with drug resistance. Geneva: World Health Organization. 2021. https://apps.who.int/iris/handle/10665/341981.https://apps.who.int/iris/handle/10665/341981 |
|
[8]
|
Vargas R Jr, Freschi L, Spitaleri A, Tahseen S, Barilar I, Niemann S, et al. Role of epistasis in amikacin, kanamycin, bedaquiline, and clofazimine resistance in Mycobacterium tuberculosis complex. Antimicrob Agents Chemother 2021;65(11):e0116421. http://dx.doi.org/10.1128/AAC.01164-21CrossRef
|
|
[9]
|
Gröschel MI, Owens M, Freschi L, Vargas R Jr, Marin MG, Phelan J, et al. GenTB: a user-friendly genome-based predictor for tuberculosis resistance powered by machine learning. Genome Med 2021;13(1):138. http://dx.doi.org/10.1186/s13073-021-00953-4CrossRef
|
|
[10]
|
Kouchaki S, Yang Y, Walker TM, Sarah Walker A, Wilson DJ, Peto TEA, et al. Application of machine learning techniques to tuberculosis drug resistance analysis. Bioinformatics 2019;35(13):2276 − 82. http://dx.doi.org/10.1093/bioinformatics/bty949CrossRef
|
|
[11]
|
The CRyPTIC Consortium, Lachapelle AS. A generalisable approach to drug susceptibility prediction for M. tuberculosis using machine learning and whole-genome sequencing. Microbiology. 2021. http://biorxiv.org/lookup/doi/10.1101/2021.09.14.458035. [2022-2-25].http://biorxiv.org/lookup/doi/10.1101/2021.09.14.458035 |
|
[12]
|
Hunt M, Bradley P, Lapierre SG, Heys S, Thomsit M, Hall MB, et al. Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with Mykrobe. Wellcome Open Res 2019;4:191. http://dx.doi.org/10.12688/wellcomeopenres.15603.1CrossRef
|
|
[13]
|
Meehan CJ, Goig GA, Kohl TA, Verboven L, Dippenaar A, Ezewudo M, et al. Whole genome sequencing of Mycobacterium tuberculosis : current standards and open issues. Nat Rev Microbiol 2019;17(9):533 − 45. http://dx.doi.org/10.1038/s41579-019-0214-5CrossRef
|
|
[14]
|
World Health Organization. Guidance for surveillance of SARS-CoV-2 variants: interim guidance. 2021. https://www.who.int/publications/i/item/WHO_2019-nCoV_surveillance_variants. [2022-2-25].https://www.who.int/publications/i/item/WHO_2019-nCoV_surveillance_variants |
|
[15]
|
Tegally H, Wilkinson E, Giovanetti M, Iranzadeh A, Fonseca V, Giandhari J, et al. Detection of a SARS-CoV-2 variant of concern in South Africa. Nature 2021;592(7854):438 − 43. http://dx.doi.org/10.1038/s41586-021-03402-9CrossRef
|
|
[16]
|
Porter S. Oxford University partners with Oracle for COVID-19 variant identification. Healthcare IT News. 2021. https://www.healthcareitnews.com/news/emea/oxford-university-partner-oracle-covid-variant-identification. [2022-2-25].https://www.healthcareitnews.com/news/emea/oxford-university-partner-oracle-covid-variant-identification |