Table 3.
Summary of prevalent TB cases and the prevalence of pulmonary TB per 100 000 population aged ≥15 years
Country | Smear-positive pulmonary TB |
Bacteriologicallyconfirmed pulmonary TB |
Proportion of bacteriologically confirmed cases that were smear-positive |
||||||
---|---|---|---|---|---|---|---|---|---|
Number of cases |
Prevalence per 100 000 population aged ≥ 15 years† |
95% confidence interval |
k‡ | Number of cases |
Prevalence per 100 000 population aged ≥ 15 years† |
95% confidence interval |
k‡ | ||
Ethiopia | 4 | 108 | 73–143 | 0.7 | 110 | 277 | 208–347 | 0.4 | 39 |
Gambia | 34 | 90 | 53–127 | 1.3 | 77 | 212 | 152–272 | 0.7 | 42 |
Ghana | 64 | 111 | 76–145 | 0.9 | 202 | 356 | 288–425 | 0.7 | 31 |
Kenya | 123 | 230 | 174–286 | 0.7 | 305 | 558 | 455–662 | 0.7 | 41 |
Malawi | 62 | 220 | 142–297 | 1.1 | 132 | 452 | 312–593 | 1.1 | 49 |
Nigeria | 107 | 318 | 225–412 | 0.9 | 144 | 524 | 378–670 | 0.7 | 61 |
Rwanda | 27 | 74 | 48–99 | N/A§ | 40 | 119 | 79–160 | 0.7 | 62 |
Sudan | 57 | 87 | 52–121 | 1.3 | 112 | 183 | 128–238 | 1.3 | 48 |
Uganda | 66 | 174 | 111–238 | 0.9 | 160 | 401 | 292–509 | 0.8 | 43 |
Tanzania¶ | 134 | 275 | 232–326 | 0.6 | N/A | N/A | N/A | N/A | N/A |
Zambia | 135 | 319 | 232–406 | 0.8 | 265 | 638 | 502–774 | 0.7 | 50 |
Zimbabwe | 23 | 82 | 47–118 | N/A§ | 107 | 344 | 268–420 | 0.3 | 24 |
N/A, not applicable.
Estimates based on the use of robust standard errors with missing value imputation and inverse probability weighting for all countries except for Tanzania for which a cluster-level analytical model was used.
k is the coefficient of variation of the cluster-specific TB prevalences. When the coefficient of variation (k) of cluster-specific TB prevalence was not reported, it was derived from the reported design effect.
k could not be calculated because the design effect was less than one.
The number of bacteriologically confirmed cases could not be verified for the estimation of prevalence by WHO. The smear-positive and bacteriologically confirmed prevalence reported by the Tanzanian survey team was 249 per 100 000 (95% CI: 192–305) and 293 per 100 000 (95% CI: 228–358) population, respectively [22].