Table 8. Multivariate regression model of the impact of different factors on clinical malaria.
Baseline | Post IRS 1 | Post IRS 2 | ||||
---|---|---|---|---|---|---|
Parameter | OR | p | OR | p | OR | p |
Rachuonyo (IRS) | 1.25 (0.51, 3.07) | 0.626 | 2.27 (0.79, 6.52) | 0.128 | 0.29 (0.14, 0.61) | 0.001 |
Nyando (non-IRS) | 1.00 | Ref. | 1.00 | Ref. | 1.00 | Ref. |
Use a net (Yes) | 0.45 (0.19, 1.05) | 0.065 | 1.75 (0.77, 3.96) | 0.182 | 0.50 (0.29, 0.86) | 0.011 |
Use a net (No) | 1.00 | Ref. | 1.00 | Ref. | 1.00 | Ref. |
Rachuonyo * Use a net (Yes) | 0.49 (0.13, 1.84) | 0.293 | 0.03 (0.00, 0.26) | 0.002 | 2.15 (0.73, 6.35) | 0.166 |
Rachuonyo * Use a net (No) | 1.00 | Ref. | 1.00 | Ref. | 1.00 | Ref. |
Nyando * Use a net (Yes) | 1.00 | Ref. | 1.00 | Ref. | 1.00 | Ref. |
Nyando * Use a net (No) | 1.00 | Ref. | 1.00 | Ref. | 1.00 | Ref. |
Elevation ≥1500 | NA | NA | 0.66 (0.23, 1.88) | 0.433 | NA | NA |
Elevation <1500 | NA | NA | 1.00 | Ref. | NA | NA |
Gender (Female) | 0.86 (0.47, 1.57) | 0.628 | 0.94 (0.49, 1.81) | 0.854 | 2.01 (1.37, 2.94) | <0.001 |
Gender (Male) | 1.00 | Ref. | 1.00 | Ref. | 1.00 | Ref. |
Age, <5 years | 4.60 (1.94, 10.9) | 0.001 | 4.75 (1.85, 12.2) | 0.001 | 4.19 (2.59, 6.78) | <0.001 |
Age, 5 to 14 years | 2.63 (1.21, 5.72) | 0.014 | 2.35 (1.15, 4.81) | 0.020 | 5.97 (3.55, 10.0) | <0.001 |
Age, ≥15 years | 1.00 | Ref. | 1.00 | Ref. | 1.00 | Ref. |
History of ACT use (Yes) | 4.15 (1.45, 11.9) | 0.008 | 4.06 (1.71, 9.65) | 0.002 | 1.20 (0.45, 3.21) | 0.713 |
History of ACT use (No) | 1.00 | Ref. | 1.00 | Ref. | 1.00 | Ref. |
Use coils or sprays (Yes) | 0.53 (0.17, 1.62) | 0.265 | 0.94 (0.22, 4.00) | 0.932 | 1.09 (0.53, 2.25) | 0.807 |
Use coils or sprays (No) | 1.00 | Ref. | 1.00 | Ref. | 1.00 | Ref. |
House type, Permanent | 0.47 (0.15, 1.49) | 0.197 | 0.24 (0.05, 1.16) | 0.076 | 0.33 (0.16, 0.69) | 0.003 |
House type, Semi-permanent | 0.96 (0.51, 1.80) | 0.907 | 0.50 (0.24, 1.06) | 0.071 | 0.50 (0.30, 0.85) | 0.010 |
House type, Traditional | 1.00 | Ref. | 1.00 | Ref. | 1.00 | Ref. |