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Table 1 General description of the clusters with high and low HIV prevalenceidentified in the 20 countries included in the study

From: Mapping HIV clustering: a strategy for identifying populations at high risk ofHIV infection in sub-Saharan Africa

Country

National HIV prevalence

Clusters with high HIV prevalence

Clusters with low HIV prevalence

  

Number of clusters

Fraction of the population (%)

HIV prevalence range (%)

Strength of the clustering* range

Number of clusters

Fraction of the population (%)

HIV prevalence range (%)

Strength of the clustering* range

Senegal

0.75

2

14.88

1.94 – 4.35

3.33 – 6.69

1

32.80

0.24

0.24

Mali

1.11

1

11.92

2.55

2.77

0

0

Congo D. R.

1.39

1

2.43

5.00

3.86

0

0

Sierra Leone

1.49

1

8.39

5.03

4.31

1

41.00

0.70

0.34

Guinea

1.55

0

0

0

0

Liberia

1.59

1

18.07

3.31

2.74

2

17.14

0 – 0.08

0 – 0.004

Burkina Faso

1.69

2

15.91

3.61 – 7.73

2.59 – 4.99

0

0

Ethiopia

1.80

5

16.12

4.86 – 8.23

3.19 – 4.85

5

22.05

0 – 0.50

0 – 0.27

Ghana

1.86

1

3.88

5.57

3.25

2

10.19

0

0

Burundi

1.88

1

12.74

4.16

2.65

0

0

Rwanda

3.17

1

12.04

8.24

3.32

2

34.02

1.04 – 1.92

0.31 – 0.53

Tanzania

4.02

5

14.30

8.33 – 17.70

2.18 – 4.41

3

33.9

0 – 0.77

0 – 0.14

Cameroon

5.44

2

5.53

12.13 – 18.18

2.3 – 3.44

1

8.67

1.47

0.25

Kenya

6.80

2

11.09

21.61 – 29.73

4.26 – 4.28

3

26.33

0 – 2.6

0 – 0.52

Mozambique

8.66

4

23.9

15.05 – 22.01

2.07 – 2.21

8

18.42

0 – 2.69

0 – 0.31

Malawi

10.38

1

34.98

15.38

2.11

3

28.79

0 – 4.95

0 – 0.47

Zambia

14.62

4

22.61

22.20 – 25.21

1.70 – 1.74

7

13.89

0.99 – 8.17

0.07 0.55

Zimbabwe

16.49

3

14.46

20.76 – 30.75

1.29 – 1.91

5

10.78

1.90 – 9.94

0.11 – 0.59

Swaziland

19.10

0

0

0

0

Lesotho

22.22

1

40.71

25.49

1.28

2

21.20

14.19 – 16.37

0.31 – 0.71

  1. *Strength of the clustering estimated as the relative risk of HIVinfection within the cluster versus outside the cluster.