Skip to main content

Table 1 Summary statistics for each health district

From: Integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planning

Health district

Pop 2011

% phone users

Mean risk

Mean RoG

Mean trip length

Mean no. trips

Move comm

Risk comm

Pop in risk >50% and top 50 source

Mean effect index

Andara

31,469

25

0.07

93.83

0.86

72.17

13

8

9779

0.00382

Aranos

27,669

29

0.00

107.37

0.93

13.57

5

8

0

0.00000

Eenhana

104,313

32

0.15

60.40

0.66

26.03

3

1

0

0.00416

Engela

127,931

38

0.34

45.23

0.30

30.86

3

1

0

0.00641

Gobabis

95,225

31

0.00

78.36

1.11

3.56

16

5

0

0.00010

Grootfontein

32,296

58

0.02

79.35

1.43

12.80

14

6

0

0.00215

Karasburg

19,946

58

0.00

163.64

2.55

2.63

5

8

0

0.00000

Katima Mulilo

80,460

48

0.16

78.50

0.71

7.08

4

8

4773

0.00407

Keetmanshoop

37,138

60

0.00

113.79

1.28

4.70

5

5

0

0.00000

Khorixas

17,839

59

0.00

84.48

2.35

4.39

14

4

0

0.00085

Luderitz

24,890

88

0.00

202.86

1.97

41.56

6

1

0

0.00000

Mariental

23,358

60

0.00

104.40

0.95

6.08

7

4

0

0.00000

Nankudu

38,601

32

0.11

71.04

0.56

21.77

4

8

12505

0.00389

Nyangana

23,109

31

0.11

57.50

0.27

50.91

13

8

8064

0.00515

Okahandja

70,058

36

0.00

67.63

0.49

4.86

7

5

0

0.00000

Okahao

35,674

41

0.03

48.86

0.33

73.64

14

4

21

0.00165

Okakarara

18,120

57

0.00

63.17

0.70

20.53

16

5

0

0.00045

Okongo

17,560

46

0.12

128.16

0.46

63.76

2

1

2628

0.00355

Omaruru

32,738

27

0.00

70.62

0.81

10.16

15

4

0

0.00000

Onandjokwe

148,412

36

0.04

52.33

0.43

18.25

8

3

0

0.00192

Opuwo

29,300

40

0.00

67.26

3.41

4.98

12

4

0

0.00155

Oshakati

152,355

76

0.07

51.55

0.40

17.86

9

5

0

0.00339

Oshikuku

120,363

39

0.42

51.40

0.28

28.99

10

7

26829

0.00840

Otjiwarongo

44,708

68

0.00

73.59

0.62

4.66

14

4

0

0.00012

Outapi

63,890

58

0.16

59.00

0.67

28.21

11

7

49703

0.00559

Outjo

17,772

59

0.00

68.16

0.63

10.14

14

4

0

0.00091

Rehoboth

71,282

30

0.00

66.42

0.94

10.15

7

4

0

0.00000

Rundu

67,743

65

0.13

83.98

0.45

14.46

13

8

72777

0.01091

Swakopmund

57,071

86

0.00

109.49

0.88

9.03

15

4

0

0.00000

Tsandi

33,510

20

0.24

45.31

0.32

121.86

11

7

6127

0.00364

Tsumeb

20,535

100

0.02

65.76

0.94

5.73

14

6

0

0.00582

Usakos

12,174

83

0.00

77.60

0.65

14.91

15

4

0

0.00000

Walvisbay

57,337

107

0.00

120.11

1.15

6.66

15

7

0

0.00000

Windhoek

357,909

90

0.00

82.04

0.76

1.50

7

5

0

0.00000

  1. Health districts are mapped in Figure 5. The shortened column titles refer to the following: Pop 2011 = number of people estimated to be residing in each health district in 2011; % Phone users = % of Pop 2011 population that were estimated to be captured in the CDR dataset, based on numbers of unique anonymous user IDs; Mean risk = mean population weighted predicted malaria case risk on a 0-1 scale; Mean RoG = mean radius of gyration [24] of movements derived from the phone data (See Additional file 2 for more details); Mean trip length = mean length of trip taken in days away from home phone catchment area (See Additional file 2 for more details); Mean no. trips = Mean number of trips taken per year away from home phone catchment area (See Additional file 2 for more details); Move comm = movement community that the majority of the area of each health district belongs to (Additional file 2); Risk comm = malaria risk community that the majority of the area of each health district belongs to (Additional file 2); Pop in risk >50% and top 50 source = Number of people residing in areas where risk values are >0.5, and that are in the top 50 ‘source’ regions (Figure 9); Mean effect index = mean value of the effect index mapped in Figure 12.