| 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 | 8.5 (5.8, 12.1) | 8.5 (7.2, 10) | 497 | 42.4 (28.7, 60.2) | 42.4 (28.7, 60.2) |
| Ethiopia | Haramaya, Harar, Kersa | age | 15.7 (11.5, 20.7) | 12.4 (11.1, 13.9) | 1302 | 204 (149.4, 269.9) | 161.9 (144.2, 181.1) |
| Kenya | Manyatta, Siaya | age | 4.5 (3.1, 6.2) | 5.7 (4.9, 6.6) | 1593 | 71.1 (49.8, 98.7) | 91.5 (78.9, 105.6) |
| Mali | Bamako | none | 17.6 (13.5, 22.5) | 17.6 (15.7, 19.6) | 546 | 96.2 (73.6, 122.7) | 96.2 (73.6, 122.7) |
| Mozambique | Manhica, Quelimane | none | 6.5 (4.8, 8.5) | 6.5 (5.4, 7.7) | 1318 | 85.5 (63.6, 112.5) | 85.5 (63.6, 112.5) |
| Sierra Leone | Makeni | none | 3.6 (1.9, 6) | 3.6 (2.4, 5.1) | 977 | 34.7 (19, 59) | 34.7 (19, 59) |
| South Africa | Soweto | age | 13.8 (11.8, 16.1) | 13 (11.4, 14.7) | 1426 | 197 (167.9, 229.3) | 185.6 (163, 210.2) |