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 language | English |
|---|---|
| Pages (from-to) | 185-191 |
| Number of pages | 7 |
| Journal | Tropical Medicine and International Health |
| Volume | 27 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Feb 2022 |
| Externally published | Yes |
Keywords
- MDR-TB
- clustering
- geographic information systems
- hotspot