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Binomial logistic regression model of the prevalence of hookworm in sub-Saharan Africa |
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| Variable |
OR |
95%CI |
p-value |
|
|
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| LST |
|||
| <29°C |
1.00 |
||
| 29 – 32°C |
1.02 |
0.94 – 1.11 |
0.624 |
| 32 – 37.5°C |
2.16 |
1.99 – 2.34 |
0.000 |
| 37.5 – 45°C |
2.49 |
2.27 – 2.72 |
0.000 |
| >45°C |
0.93 |
0.80 – 1.07 |
0.308 |
| Elevation |
|||
| <500 m |
1.00 |
||
| 500 – 1000 m |
0.60 |
0.58 – 0.63 |
0.000 |
| 1000 – 1500 m |
1.46 |
1.41 – 1.52 |
0.000 |
| >1500 m |
0.50 |
0.46 – 0.55 |
0.000 |
| NDVI |
|||
| <-7.8 |
1.00 |
||
| -7.8 – -6 |
3.56 |
3.07 – 4.14 |
0.000 |
| -6 – -5 |
6.73 |
5.77 – 7.85 |
0.000 |
| >-5 |
10.55 |
9.01 – 12.35 |
0.000 |
|
Logit estimates, Number of obs = 71,681, LR chi2(10) = 7610.52, Prob > chi2 = 0.0000, Log likelihood = -49475.531, Pseudo R2 = 0.0714 | |||
Brooker et al. Malaria Journal 2006 5:99 doi:10.1186/1475-2875-5-99 |
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