Table 2 Compared household use of different anti-malarial drugs from 2003 to 2015 of three study sites of western Kenya
From: Why some sites are responding better to anti-malarial interventions? A case study from western Kenya
Survey year | Study site | Type of anti-malarial drug used | χ2 | p value | |
|---|---|---|---|---|---|
(SP, AQ, CQ) | (ACT, QN) | ||||
2015 | Marani | 6% (30/500) | 94% (470/500) | 27.54 | <Â 0.0001 |
Kombewa | 1.6% (8/500) | 98.4% (492/500) | |||
Iguhu | 9.2% (46/500) | 90.8% (454/500) | |||
2010 | Marani | 31.9% (91/285) | 68.1% (194/285) | 50.48 | <Â 0.0001 |
Kombewa | 26.1% (52/199) | 73.9% (147/199) | |||
Iguhu | 53.6% (185/345) | 46.4% (160/345) | |||
2007 | Marani | 30.1% (1145/3800) | 69.9% (2655/3800) | 119.45 | <Â 0.0001 |
Kombewa | 36.3% (340/937) | 63.7% (597/937) | |||
Iguhu | 21% (984/4492) | 79% (3508/4492) | |||
2003 | Marani | 95.4% (207/217) | 4.6% (10/217) | 1.78 | 0.1821 |
Kombewa | 93.9% (170/181) | 6.1% (11/181) | |||
Iguhu | 96.2% (607/631) | 3.8% (24/631) | |||