Cross-border movement of highly drug-resistant Mycobacterium tuberculosis from Papua New Guinea to Australia through Torres Strait Protected Zone, 2010-2015

Bainomugisa, Arnold, Pandey, Sushi, Donnan, Ellen, Simpson, Graham, Foster, J'Belle, Lavu, Evelyn, Hiasihri, Stenard, McBryde, Emma S., Moke, Rendi, Vincent, Steven, Sintchenko, Vitali, Marais, Ben J., Coin, Lachlan J.M., and Coulter, Christopher (2019) Cross-border movement of highly drug-resistant Mycobacterium tuberculosis from Papua New Guinea to Australia through Torres Strait Protected Zone, 2010-2015. Emerging Infectious Diseases, 25 (3). pp. 406-415.

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Abstract

In this retrospective study, we used whole-genome sequencing (WGS) to delineate transmission dynamics, characterize drug-resistance markers, and identify risk factors of transmission among Papua New Guinea residents of the Torres Strait Protected Zone (TSPZ) who had tuberculosis diagnoses during 2010-2015. Of 117 isolates collected, we could acquire WGS data for 100; 79 were Beijing sublineage 2.2.1.1, which was associated with active transmission (odds ratio 6.190, 95% CI 2.221-18.077). Strains were distributed widely throughout the TSPZ. Clustering occurred more often within than between villages (p = 0.0013). Including 4 multidrug-resistant tuberculosis isolates from Australia citizens epidemiologically linked to the TSPZ into the transmission network analysis revealed 2 probable cross-border transmission events. All multidrug-resistant isolates (33/104) belonged to Beijing sublineage 2.2.1.1 and had high-level isoniazid and ethionamide co-resistance; 2 isolates were extensively drug resistant. Including WGS in regional surveillance could improve tuberculosis transmission tracking and control strategies within the TSPZ.

Item ID: 57331
Item Type: Article (Research - C1)
ISSN: 1080-6059
Additional Information:

This article is available Open Access via the publisher's website.

Date Deposited: 06 Mar 2019 07:43
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1103 Clinical Sciences > 110309 Infectious Diseases @ 100%
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