Table 1 Estimated R0 and endpoint in EACs using the eSIR model for the year 2020/2021
From: Using outbreak data to estimate the dynamic COVID-19 landscape in Eastern Africa
Country | Median | R0 | Endpoint | 95%CI | |||
|---|---|---|---|---|---|---|---|
Mean | 95%CI | Mean | Date (range) | Infected1 | Removed2 | ||
Burundi | 2.58 | 2.71 | 1.48–4.58 | 05/02/20 | 04/05/20–07/31/20 | 998 (116–2884) | 351 (41–1100) |
Ethiopia | 2.62 | 2.75 | 1.57–4.65 | 04/27/20 | 04/04/20–07/01/20 | 6566 (474–24,130) | 5754 (665–20,408) |
Kenya | 2.57 | 2.70 | 1.54–4.67 | 04/26/20 | 04/05/20–06/23/20 | 2572 (455–6876) | 2317 (263–7475) |
Rwanda | 2.96 | 3.10 | 3.10–5.22 | 05/07/20 | 04/08/20–07/27/20 | 964 (259–2121) | 397 (41–1370) |
South Sudan | 2.60 | 2.71 | 2.71–4.59 | 05/21/20 | 04/16/20–09/17/20 | 2171 (130–10,107) | 631 (89–1920) |
Tanzania | 2.69 | 2.82 | 2.82–4.90 | 05/01/20 | 04/05/20–07/16/20 | 4369 (614–14,483) | 3353 (428–11,942) |
Uganda | 2.75 | 2.87 | 2.87–4.79 | 05/06/20 | 04/06/20–08/03/20 | 4219 (648–12,354) | 2180 (211–8107) |