|
Multivariate regression with predicted wetness and elevation variables |
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| Kipsamoite |
Kapsisiywa |
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|
|
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| Type of model |
Variables in model |
OR |
95% CI |
OR |
95% CI |
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|
|
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| Predicted wetness or elevation variables alone |
Distance to very high predicted wetness |
0.920 |
0.885 |
0.957 |
0.903 |
0.857 |
0.953 |
| Household elevation |
0.422 |
0.251 |
0.710 |
0.677 |
0.293 |
1.564 |
|
| Distance to very low elevation |
0.958 |
0.935 |
0.982 |
1.009 |
0.999 |
1.019 |
|
|
|
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| Predicted wetness and elevation variables jointly |
Distance to very high predicted wetness |
0.925 |
0.888 |
0.964 |
0.874 |
0.826 |
0.925 |
| Household elevation |
0.686 |
0.401 |
1.174 |
3.552 |
1.475 |
8.550 |
|
| Distance to very high predicted wetness |
0.923 |
0.884 |
0.963 |
0.897 |
0.854 |
0.942 |
|
| Distance to very low elevation |
0.985 |
0.960 |
1.012 |
1.012 |
1.002 |
1.023 |
|
|
Odds ratios for the presence or absence of household malaria associated with a 100 m increase in distance or elevation, entering variables singly and jointly into multivariate logistic regression models. Models control for year and person-time. | |||||||
Cohen et al. Malaria Journal 2008 7:40 doi:10.1186/1475-2875-7-40 |
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