From: Using outbreak data to estimate the dynamic COVID-19 landscape in Eastern Africa
Country | R0 | Endpoint | 95%CI | ||||
---|---|---|---|---|---|---|---|
Median | Mean | 95%CI | Mean | Date | Infected1 | Removed2 | |
Burundi | 2.74 | 2.84 | 1.83–4.45 | 01/16/22 | 01/16/22 | 115,505 (109,999–121,264) | 153,638 (147,508–159,954) |
Ethiopia | 1.63 | 1.64 | 1.39–1.99 | 01/16/22 | 01/16/22 | 7,072,584 (6,945,505–7,203,084) | 19,736,568 (19,521,417–19,952,888) |
Kenya | 8.39 | 8.52 | 3.73–14.10 | 01/16/22 | 01/16/22 | 330,562 (307,493–353,404) | 18,248,566 (18,100,299–18,391,438) |
Rwanda | 1.31 | 1.32 | 1.17–1.49 | 01/16/22 | 01/16/22 | 410,599 (399,776–421,528) | 1,913,262 (1,891,033–1,934,980) |
South Sudan | 1.51 | 1.54 | 1.19–2.03 | 01/16/22 | 01/16/22 | 386,020 (376,478–396,244) | 751,872 (738,686–765,302) |
Tanzania | 2.46 | 2.57 | 1.45–4.31 | 01/15/22 | 01/16/22 | 107,265 (95,757–119,982) | 70,197 (60,262–80,013) |
Uganda | 2.30 | 2.34 | 1.67–3.33 | 01/16/22 | 01/16/22 | 3,145,602 (3,089,070–3,205,017) | 2,425,643 (2,375,840–2,477,153) |