Social mixing and clinical features linked with transmission in a network of extensively drug-resistant tuberculosis cases in KwaZulu-Natal, South Africa

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dc.contributor.author Nelson, Kristin N.
dc.contributor.author Jenness, Samuel M.
dc.contributor.author Mathema, Barun
dc.contributor.author Lopman, Benjamin A.
dc.contributor.author Auld, Sara C.
dc.contributor.author Shah, N. Sarita
dc.contributor.author Brust, James C.M.
dc.contributor.author Ismail, Nazir Ahmed
dc.contributor.author Omar, Shaheed Vally
dc.contributor.author Brown, Tyler S.
dc.contributor.author Allana, Salim
dc.contributor.author Campbell, Angie
dc.contributor.author Moodley, Pravi
dc.contributor.author Mlisana, Koleka
dc.contributor.author Gandhi, Neel R.
dc.date.accessioned 2021-05-13T06:20:20Z
dc.date.available 2021-05-13T06:20:20Z
dc.date.issued 2020-06
dc.description.abstract BACKGROUND: Tuberculosis (TB) is the leading infectious cause of death globally, and drug-resistant TB strains pose a serious threat to controlling the global TB epidemic. The clinical features, locations, and social factors driving transmission in settings with high incidences of drug-resistant TB are poorly understood. METHODS : We measured a network of genomic links using Mycobacterium tuberculosis whole-genome sequences. RESULTS : Patients with 2–3 months of cough or who spent time in urban locations were more likely to be linked in the network, while patients with sputum smear–positive disease were less likely to be linked than those with smear-negative disease. Associations persisted using different thresholds to define genomic links and irrespective of assumptions about the direction of transmission. CONCLUSIONS : Identifying factors that lead to many transmissions, including contact with urban areas, can suggest settings instrumental in transmission and indicate optimal locations and groups to target with interventions. en_ZA
dc.description.department Medical Microbiology en_ZA
dc.description.librarian hj2021 en_ZA
dc.description.uri http://cid.oxfordjournals.org en_ZA
dc.identifier.citation Nelson, K.N., Jenness, S.M., Mathema, B. et al. 2020, 'Social mixing and clinical features linked with transmission in a network of extensively drug-resistant Tuberculosis cases in KwaZulu-Natal, South Africa', Clinical Infectious Diseases, vol. 70, no. 11, pp. 2396-2402, https://doi.org/10.1093/cid/ciz636. en_ZA
dc.identifier.issn 1058-4838 (print)
dc.identifier.issn 1537-6591 (online)
dc.identifier.other 10.1093/cid/ciz636
dc.identifier.uri http://hdl.handle.net/2263/79866
dc.language.iso en en_ZA
dc.publisher Oxford University Press en_ZA
dc.rights © The Author(s) 2019. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. . This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Clinical Infectious Diseases following peer review. The definitive publisher-authenticated version is : 'Social mixing and clinical features linked with transmission in a network of extensively drug-resistant Tuberculosis cases in KwaZulu-Natal, South Africa', Clinical Infectious Diseases, vol. 70, no. 11, pp. 2396-2402, 2020, doi : 10.1093/cid/ciz636, is available online at : http://cid.oxfordjournals.org. en_ZA
dc.subject Drug-resistant tuberculosis en_ZA
dc.subject Tuberculosis (TB) en_ZA
dc.subject Tuberculosis transmission en_ZA
dc.subject Whole genome sequencing (WGS) en_ZA
dc.subject Transmission networks en_ZA
dc.subject Network models en_ZA
dc.title Social mixing and clinical features linked with transmission in a network of extensively drug-resistant tuberculosis cases in KwaZulu-Natal, South Africa en_ZA
dc.type Postprint Article en_ZA


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