Skip to main content

Table 2 Estimated R0 and endpoint in EACs using the eSIR model for the year 2021/2022

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)

  1. 1Means of predicted infected population at the endpoint followed by the confidence interval in brackets (α = 0.05)
  2. 2Means of predicted removed (recovered + deaths) population at the endpoint followed by the confidence interval in brackets (α = 0.05)