| Site | Catchment | Adjustment Factor(s) |
cCSMF (%) (Bayesian CrI) |
aCSMF (%) (Bayesian CrI) |
ACTU5MR | cCSMR (per 10k) (Bayesian CrI) |
aCSMR (per 10k) (Bayesian CrI) |
|---|---|---|---|---|---|---|---|
| Bangladesh | Baliakandi, Faridpur | age | 1.4 (0.5, 3.3) | 1.3 (0.9, 2) | 497 | 7.1 (2.6, 16.4) | 7.1 (2.6, 16.4) |
| Ethiopia | Haramaya, Harar, Kersa | age | 10.2 (6.9, 14.6) | 5.2 (4.3, 6.2) | 1302 | 133.4 (89.6, 190.4) | 68.1 (56.5, 81.3) |
| Kenya | Manyatta, Siaya | age | 0.2 (0, 0.8) | 0.3 (0.1, 0.5) | 1593 | 3.2 (0.6, 12.6) | 4.4 (2.1, 8.3) |
| Mali | Bamako | age | 0 (0, 1) | 0 (0, 1) | 546 | 0 (0, 5.4) | 0 (0, 5.4) |
| Mozambique | Manhica, Quelimane | age | 1.5 (0.8, 2.6) | 1.4 (0.9, 2) | 1318 | 19.3 (10, 34.3) | 19.3 (10, 34.3) |
| Sierra Leone | Makeni | age | 1.3 (0.5, 3.1) | 1.4 (0.7, 2.5) | 977 | 13 (4.7, 30.2) | 13 (4.7, 30.2) |
| South Africa | Soweto | age | 0.7 (0.3, 1.4) | 0.6 (0.3, 1.1) | 1426 | 10.3 (4.7, 20.1) | 9.1 (4.7, 16.1) |