Multi-drug-resistant tuberculosis clusters in Mpumalanga province, South Africa, 2013–2016: A spatial analysis

M. A. Mashamba, F. Tanser, S. Afagbedzi, A. Beke

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Objective: To identify spatial clusters with unusually high levels of MDR-TB, which are highly unlikely to have arisen by chance in Mpumalanga Province, South Africa. Methods: Home addresses of all MDR-TB patients were collected from four MDR-TB facilities from 2013 to 2016. We mapped all addresses, linking them to the nearest ward with population estimates. A spatial analysis was conducted using kernel density in ArcGIS to estimate and map the distribution of the disease and used Gertis-Ord Gi to test for significant clustering. Results: A total of 4065 MDR-TB patients were mapped. Ten significant clusters (p-value <0.05) were found across the province in six sub-districts: Mbombela, Nkomazi, Emalahleni, Govan Mbeki, Lekwa and Mkhondo. Mbombela has the highest number of significant clusters. The central region did not have any MDR-TB clusters. Conclusion: There is clear evidence of MDR-TB clustering in Mpumalanga. This calls for concentrated TB prevention efforts and proper allocation of resources. Further investigations are needed to identify MDR-TB predictors.

Original languageEnglish
Pages (from-to)185-191
Number of pages7
JournalTropical Medicine and International Health
Volume27
Issue number2
DOIs
Publication statusPublished - Feb 2022

Keywords

  • MDR-TB
  • clustering
  • geographic information systems
  • hotspot

Fingerprint

Dive into the research topics of 'Multi-drug-resistant tuberculosis clusters in Mpumalanga province, South Africa, 2013–2016: A spatial analysis'. Together they form a unique fingerprint.

Cite this