Table 4.
Geographical distribution patterns of M. tuberculosis MDR strains isolated from HIV negative and positive TB patients in Western Kenya
| County | HIV negative | HIV positive | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| HR | HRE | HRS | HRES | Total | HR | HRE | HRS | HRES | Total | |
| Nyamira | 1 (0.3%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (0.3%) | 2 (0.7%) | 1 (0.4%) | 0 (0.0%) | 0 (0.0%) | 3 (1.1%) |
| Bungoma | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (0.4%) | 1 (0.4%) | 0 (0.0%) | 0 (0.0%) | 2 (0.7%) |
| Busia | 2 (0.7%) | 3 (1.0%) | 0 (0.0%) | 0 (0.0%) | 5 (1.7%) | 1 (0.4%) | 1 (0.4%) | 0 (0.0%) | 0 (0.0%) | 2 (0.7%) |
| Homabay | 5 (1.7%) | 4 (1.4%) | 1 (0.3%) | 0 (0.0%) | 10 (3.5%) | 1 (0.4%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (0.4%) |
| Kakamega | 3 (1.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 3 (1.0%) | 3 (1.1%) | 2 (0.7%) | 0 (0.0%) | 0 (0.0%) | 5 (1.9%) |
| Kisumu | 2 (0.7%) | 1 (0.3%) | 1 (0.3%) | 0 (0.0%) | 4 (1.4%) | 1 (0.4%) | 2 (0.7%) | 0 (0.0%) | 0 (0.0%) | 3 (1.1%) |
| Migori | 1 (0.3%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (0.3%) | 3 (1.1%) | 3 (1.1%) | 0 (0.0%) | 1 (0.4%) | 7 (2.6%) |
| Kisii | 1 (0.3%) | 1 (0.3%) | 0 (0.0%) | 0 (0.0%) | 2 (0.7%) | 1 (0.4) | 2 (0.7%) | 0 (0.0%) | 0 (0.0%) | 3 (1.1%) |
| Vihiga | 0 (0.0%) | 1 (0.3%) | 0 (0.0%) | 0 (0.0%) | 1 (0.3%) | 2 (0.7%) | 0 (0.0%) | 0 (0.0%) | 1 (0.4%) | 3 (1.1%) |
| Siaya | 1 (0.3%) | 2 (0.7%) | 1 (0.3%) | 0 (0.0%) | 4 (1.4%) | 2 (0.7%) | 1 (0.4%) | 0 (0.0%) | 0 (0.0%) | 3 (1.1%) |
| Total | 16 (5.6%) | 12 (4.2%) | 3 (1.0%) | 0 (0.0%) | 31 (10.8%) | 17 (5.9%) | 13 (4.5%) | 0 (0.0%) | 2 (0.7%) | 32 (12.0%) |
The bold was just used to track entries