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Table 2 Results of phase 1A surveys and comparison of observed and predicted prevalences for each evaluation area

From: Progress towards onchocerciasis elimination in the participating countries of the African Programme for Onchocerciasis Control: epidemiological evaluation results

Country

Evaluation area

Maximum pre-control prevalence of nodules in evaluated villages (%)

Treatment History

Year of evaluation

      

Comparison with Onchosim model predictions

Start year of treatment

Treatment rounds with >60% coverage

 

Number of villages surveyed

Number of persons examined

Number mf positive

% mf positive

Maximum village prevalence of mf (%)

Maximum village CMFL (mf/s)

Mean village prevalence of mf (%)

Predicted mean prevalence of mf (%)

Probability that true prevalence < predicted prevalence (Pl)

Probability that true prevalence > predicted prevalence (PH)

Progress towards eliminationa

Burundi

Cibitoke Bubanza

49.1

2005

6

2012

10

3,424

0

0.0

0.0

0.0

0.0

17.5

1.000

0.000

++

Cameroon

Adamawa II

57.5

1999

9

2012

9

2,816

53

1.9

6.8

0.2

1.7

8.3

0.999

0.001

++

 

Centre 1

71.9

2001

9

2011

12

2,576

1,377

53.5

71.6

5.3

52.3

31.0

0.000

1.000

−

 

Littoral 2

59.9

2000

9

2011

10

1,576

759

48.2

69.4

5.1

48.6

16.5

0.000

1.000

−

 

North Tchollire

54.0

1999

10

2010

9

1,377

84

6.1

32.8

3.2

6.8

8.1

0.579

0.421

+

 

North Toubouro

81.9

1989

21

2010

10

1,230

48

3.9

12.2

0.3

4.0

1.3

0.000

1.000

−

 

South West I

71.7

1999

10

2012

8

2,159

257

11.9

45.5

6.8

14.2

13.3

0.341

0.660

+

 

South West II

65.6

2001

8

2012

9

2,055

283

13.8

41.2

5.3

13.2

18.9

0.927

0.073

+

 

Western Province

86.4

2001

8

2011

14

3,239

284

8.8

38.6

1.3

9.7

32.0

1.000

0.000

++

CAR

Basse-Kotto

59.7

1999

12

2010

9

2,758

41

1.5

3.8

0.1

1.6

8.6

1.000

0.000

++

 

Ouaham Pende

60.1

1999

15

2012

10

2,455

0

0.0

0.0

0.0

0.0

4.9

1.000

0.000

++

 

Ouaka

64.6

1999

13

2012

9

2,443

0

0.0

0.0

0.0

0.0

2.3

0.996

0.004

++

Chad

Logon Occidental

37.9

1998

11

2012

10

3,320

0

0.0

0.0

0.0

0.0

0.1

0.239

0.739

+

 

Logone Oriental

62.8

1998

11

2012

19

4,403

5

0.1

2.1

0.0

0.1

1.0

0.883

0.117

+

 

Mayo Kebbi East

45.2

1998

12

2013

5

1,660

0

0.0

0.0

0.0

0.0

0.1

0.295

0.553

+

 

Mayo Kebbi West

44.4

1998

12

2013

18

6,425

1

0.0

0.3

0.0

0.0

0.1

0.227

0.772

+

 

Moyen-Chari

40.1

1998

8

2009

9

1,337

0

0.0

0.0

0.0

0.0

3.4

0.997

0.003

++

Congo

Bouenza

28.3

2001

7

2011

10

1,585

13

0.8

5.6

0.0

0.7

8.4

1.000

0.000

++

 

Pool

51.0

2004

7

2012

22

3,335

485

14.5

52.3

8.8

15.7

11.6

0.041

0.959

+

DRC

Bas-Congo

65.9

2004

3

2012

22

4,823

2,140

44.4

71.3

9.8

40.5

49.3

0.989

0.011

++

 

Sankuru

86.3

2003

3

2011

11

1,494

810

54.2

89.7

14.4

51.8

74.0

1.000

0.000

++

 

Uélé

96.4

2002

5

2012

10

1,752

595

34.0

68.4

4.9

33.3

62.5

1.000

0.000

++

Ethiopia

Kafa,Shekka,Bench Maji

47.4

2001

7

2011

10

2,167

111

5.1

19.2

0.4

4.7

19.9

1.000

0.000

++

 

North Gondar

31.2

2003

7

2011

10

1,927

0

0.0

0.0

0.0

0.0

9.7

1.000

0.000

++

Liberia

Lofa, Bong, Nimba

27.6

1999

5

2013

19

3,554

244

6.9

18.1

1.0

6.6

17.6

0.999

0.001

++

Malawi

Malawi Extension

21.6

2000

7

2011

9

1,960

0

0.0

0.0

0.0

0.0

4.8

1.000

0.000

++

 

Thyolo Muanza

34.1

1999

7

2011

11

2,375

0

0.0

0.0

0.0

0.0

8.2

1.000

0.000

++

Nigeria

Adamawa

51.5

2001

11

2012

10

1,574

0

0.0

0.0

0.0

0.0

0.7

0.523

0.477

+

 

Cross river

56.1

1998

11

2009

20

3,583

81

2.3

8.3

0.5

2.4

3.0

0.430

0.570

+

 

Ebonyi

60.2

1999

11

2010

11

1,976

0

0.0

0.0

0.0

0.0

3.1

0.999

0.001

++

 

Edo, Ondo

36.4

2001

8

2010

7

1,540

422

27.4

54.7

3.3

30.2

9.8

0.000

1.000

−

 

Ekiti

22.8

2000

12

2012

10

1,939

36

1.9

12.0

0.5

1.9

0.4

0.003

0.997

−

 

Enugu, Anambra

63.0

1999

11

2011

11

2,396

86

3.6

13.7

0.2

3.6

4.5

0.602

0.398

+

 

FCT

21.1

1999

14

2013

10

1,385

2

0.1

2.9

0.0

0.3

0.1

0.029

0.966

+

 

Kaduna

55.8

1991

17

2008

29

5,988

0

0.0

0.0

0.0

0.0

0.1

0.041

0.959

+

 

Kano

26.0

2001

12

2013

12

1,820

0

0.0

0.0

0.0

0.0

0.4

0.262

0.738

+

 

Kebbi

21.5

2002

7

2013

7

1,365

0

0.0

0.0

0.0

0.0

3.8

1.000

0.000

++

 

Kwara

32.2

1999

13

2013

12

2,013

29

1.4

11.2

0.5

1.3

0.3

0.001

0.999

−

 

Niger

28.7

2000

12

2013

15

2,820

0

0.0

0.0

0.0

0.0

0.6

0.459

0.541

+

 

Osun

25.6

1998

12

2012

11

1,544

0

0.0

0.0

0.0

0.0

1.5

0.882

0.118

+

 

Oyo

35.2

2000

9

2013

11

1,235

6

0.5

6.5

0.2

0.9

3.8

0.925

0.075

+

 

Plateau Nassarawa

51.5

1998

14

2012

10

1,912

2

0.1

1.2

0.0

0.1

0.3

0.154

0.846

+

 

Taraba

61.8

1998

11

2009

10

1,695

214

12.6

60.8

4.6

16.9

6.3

0.000

1.000

−

 

Zamfara

12.8

2001

9

2010

7

1,007

0

0.0

0.0

0.0

0.0

1.2

0.835

0.165

+

Tanzania

Kilosa

25.1

2002

10

2012

10

1,488

37

2.5

19.5

1.2

3.3

1.1

0.011

0.990

−

 

Mahenge

78.7

1998

7

2009

10

1,792

176

9.8

21.9

2.2

8.3

43.8

1.000

0.000

++

 

Morogoro

35.7

2004

7

2013

20

3,406

169

5.0

33.7

3.4

6.1

8.2

0.727

0.273

+

 

Ruvuma

92.3

1999

10

2011

12

2,638

104

3.9

16.2

0.4

4.4

20.2

1.000

0.000

++

 

Tanga

35.4

2000

9

2010

10

2,047

6

0.3

2.2

0.1

0.4

4.3

0.999

0.001

++

 

Tukuyu

39.7

2001

10

2011

10

1,861

0

0.0

0.0

0.0

0.0

4.2

1.000

0.000

++

 

Tunduru

58.0

1995

16

2013

10

1,832

0

0.0

0.0

0.0

0.0

0.3

0.331

0.669

+

Uganda

Kasese

45.5

1998

11

2010

10

1,510

51

3.4

12.1

0.1

3.1

4.6

0.651

0.349

+

 

Arua Nebbie

87.3

1999

11

2009

21

3,894

90

2.3

32.1

1.0

3.8

10.5

1.000

0.000

++

 

Adjumani Mojo

34.9

1999

11

2010

9

1,180

35

3.0

6.7

0.0

2.5

1.4

0.036

0.964

+

Total

     

639

127,665

9,136

7.2

89.7

14.4

 

12.1

   
  1. aDecline in prevalence of mf: ++ Faster: prevalence declining significantly faster than predicted (pL > 0.975)
  2. +On track: prevalence not significantly lower or higher than predicted (pL < 0.975 and pH < 0.975)
  3. -Delayed: prevalence declining significantly slower than predicted (pH> 0.975)