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Extensively drug-resistant tuberculosis 'hotspots' and sociodemographic associations in Durban, South Africa

  • M. L. Peterson
  • , N. R. Gandhi
  • , J. Clennon
  • , K. N. Nelson
  • , N. Morris
  • , N. Ismail
  • , S. Allana
  • , A. Campbell
  • , J. C.M. Brust
  • , S. C. Auld
  • , B. Mathema
  • , K. Mlisana
  • , P. Moodley
  • , N. S. Shah

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: In KwaZulu-Natal, South Africa, the incidence of extensively drug-resistant tuberculosis (XDR-TB) is driven by the transmission of resistant strains. As data suggest that cases may be spatially clustered, we sought to identify 'hotspots' and describe these communities. METHODS : We enrolled XDR-TB patients diagnosed from 2011 to 2014 in eThekwini. Global positioning system (GPS) coordinates for participant homes were collected and hotspots were identified based on population- adjusted XDR-TB incidence. The sociodemographic features of hotspots were characterised using census data. For a subset of participants, we mapped non-home XDR-TB congregate locations and compared these with results including only homes. RESULT S : Among 132 participants, 75 (57%) were female and 87 (66%) lived in urban or suburban locations. Fifteen of 197 census tracts were identified as XDR-TB hotspots with 95% confidence. Four spatial mapping methods identified one large hotspot in northeastern eThekwini. Hotspot communities had higher proportions of low educational attainment (12% vs. 9%) and unemployment (29.3% vs. 20.4%), and lower proportion of homes with flush toilets (36.4% vs. 68.9%). The case density shifted towards downtown Durban when congregate locations (e.g., workplaces) for 43 (33%) participants were mapped. CONCLUS IONS : In eThekwini, XDR-TB case homes were clustered into hotspots with more poverty indicators than non-hotspots. Prevention efforts targeting hotspot communities and congregate settings may be effective in reducing community transmission.

Original languageEnglish (US)
Pages (from-to)720-727
Number of pages8
JournalInternational Journal of Tuberculosis and Lung Disease
Volume23
Issue number6
DOIs
StatePublished - Jun 1 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • Activity space
  • Hotspot
  • Sociodemographic
  • TB
  • XDR-TB

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine
  • Infectious Diseases

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