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Clinical and public health utility of Mycobacterium tuberculosis whole genome sequencing.
Kizny Gordon, Alice; Marais, Ben; Walker, Timothy M; Sintchenko, Vitali.
  • Kizny Gordon A; Centre for Infectious Diseases and Microbiology - Public Health, Westmead Hospital, Western Sydney Local Health District, Sydney, New South Wales, Australia; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia. Electronic address: alice_kg@
  • Marais B; WHO Collaborating Centre for Tuberculosis, The University of Sydney, Sydney, New South Wales, Australia; Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, New South Wales, Australia.
  • Walker TM; Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam.
  • Sintchenko V; Centre for Infectious Diseases and Microbiology - Public Health, Westmead Hospital, Western Sydney Local Health District, Sydney, New South Wales, Australia; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia; WHO Collaborating Centre for
Int J Infect Dis ; 113 Suppl 1: S40-S42, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1574760
ABSTRACT
The World Health Organization (WHO) estimates that around 10 million people develop tuberculosis (TB) every year, with 1.5 million deaths attributed to TB in 2019 (World Health Organization, 2020). The majority of the disease burden occurs in low-income countries, where access to diagnostics and tailored treatment remains problematic. The current COVID-19 pandemic further threatens to impact global TB control by diverting resources, reducing notifications and hence significantly increasing deaths attributable to TB (World Health Organization, 2020). Whole genome sequencing (WGS) is becoming increasingly accessible, and has particular value in the diagnosis and management of TB disease (Cabibbe et al., 2018; Meehan et al., 2019). Not only does it have the potential to give more rapid and complete information on drug-resistance, but the high discriminatory power it offers allows detection of clusters and transmission pathways, as well as likely contamination events, mixed infections and to differentiate between re-infection and relapse with much greater confidence than previous typing methods.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Mycobacterium tuberculosis Type of study: Prognostic study Limits: Humans Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Mycobacterium tuberculosis Type of study: Prognostic study Limits: Humans Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article