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. 2009 Aug 5;8:187. doi: 10.1186/1475-2875-8-187

Table 2.

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

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)

@ Total number of mosquitoes exposed to each insecticide.

# 95% confidence limits

$ 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

* Lower and upper confidence limits could not be estimated due to large g value [25]