| 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 | none | 1.4 (0.5, 3.3) | 1.4 (0.9, 2.1) | 497 | 7.1 (2.6, 16.4) | 7.1 (2.6, 16.4) |
| Ethiopia | Haramaya, Harar, Kersa | age, location | 16.3 (12, 21.4) | 61.1 (58.8, 63.3) | 1302 | 211.8 (156.2, 278.6) | 795.3 (766.1, 824) |
| Kenya | Manyatta, Siaya | age, location | 14.6 (12.1, 17.4) | 18.9 (17.4, 20.5) | 1593 | 232.7 (193.5, 276.8) | 301.5 (277.2, 327) |
| Mali | Bamako | none | 20.7 (16.3, 25.8) | 20.7 (18.7, 22.9) | 546 | 113.2 (88.8, 141) | 113.2 (88.8, 141) |
| Mozambique | Manhica, Quelimane | none | 12.8 (10.4, 15.4) | 12.8 (11.3, 14.4) | 1318 | 168.2 (137.3, 203.5) | 168.2 (137.3, 203.5) |
| Sierra Leone | Makeni | age | 17.3 (13.5, 21.8) | 17.3 (14.8, 20.2) | 977 | 169.3 (131.9, 212.7) | 169.3 (131.9, 212.7) |
| South Africa | Soweto | age | 30.5 (27.7, 33.4) | 29.9 (27.7, 32.2) | 1426 | 435.1 (395, 476.9) | 426.8 (395.3, 459.5) |