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Table 2 Knockdown times (KDTs) for Anopheles gambiae s.l. in The Gambia after exposure to different insecticides.

From: Status of insecticide susceptibility in Anopheles gambiae s.l. from malaria surveillance sites in The Gambia

Insecticide

Study site

n@

KDT50(CL#)

KDT95(CL#)

DDT (4%)

Brikama

166

26.1 (17.0–34.1)

68.3 (67.9–148.9)

 

Essau

80

46.1 (42.4–50.8)

126.6 (102.1–174.3)

 

Farafenni

80

28.7 (26.3–30.8)

63.9 (56.9–75.1)

 

Mansakonko

22

30.1 (25.5–34.2)

64.3 (53.1–92.3)

 

Kuntaur

39

22.7 (20.1–25.1)

47.0 (41.2–56.7)

 

Basse

25

28.6 (24.6–32.5)

67.5 (55.4–93.4)

Permethrin (0.75%)

Brikama

150

27.6 (21.6–31.8)

52.3 (47.8–74.7)

 

Essau

63

14.3 (10.9–17.3)

85.0 (64.5–132.0)

 

Farafenni

76

6.9$

54.7$

 

Mansakonko

18

15.0 (10.9–18.6)

42.6 (33.6–63.2)

 

Kuntaur

41

1.0*

17.2*

 

Basse

19

9.2 (5.2–11.8)

21.9 (16.9–40.7)

Deltamethrin (0.05%)

Brikama

155

25.1 (17.1–32.1)

67.8 (64.0–131.4)

 

Essau

66

10.8 (9.4–12.0)

21.7 (18.9–26.7)

 

Farafenni

88

8.3 (6.6–9.6)

18.7 (16.2–23.6)

 

Mansakonko

22

5.6*

16.8*

 

Kuntaur

38

3.3 (0.2–6.8)

24.3 (16.8–50.6)

 

Basse

20

16.3 (12.7–19.5)

41.3 (33.9–55.8)

  1. @ Total number of mosquitoes exposed to each insecticide.
  2. # 95% confidence limits
  3. $ The linear log-time probit model is not a good fit to the data in this case. Therefore the estimates of KD50 and KD95 are unlikely to be accurate and the confidence limits could not be estimated
  4. * Lower and upper confidence limits could not be estimated due to large g value [25]