Volume 28, Number 4—April 2022
Research
Mapping the Risk for West Nile Virus Transmission, Africa
Table
Predictor variables included in reservoir, vector, and dead-end host West Nile fever models for Africa*
Variable | Reservoir |
Vector |
Dead-end host |
|||||
---|---|---|---|---|---|---|---|---|
B | Wald | B | Wald | B | Wald | |||
Climatic | ||||||||
Minimum temperature of the coldest month |
(−) 1.16 × 10−2 |
9.65 |
||||||
Ecosystemic | ||||||||
Distance to Ramsar sites | (−) 0.96 | 8.52 | (−) 0.54 | 6.49 | (−) 0.68 | 13.59 | ||
Vegetation on flooded soil |
(+) 5.39 |
4.51 |
||||||
Human | ||||||||
Cropland and vegetation | (+) 2.78 | 6.27 | ||||||
% Of irrigation areas | (+) 0.04 | 5.06 | ||||||
Chicken density | (+) 1.00 × 10−5 | 13.71 | (+) 1.60 × 10−5 | 27.15 | (+) 1.20 × 10−5 | 13.49 | ||
Cattle density | (+) 1.78 × 10−5 | 4.32 | ||||||
Population density | (+) 1.10 × 10−3 | 7.11 | ||||||
Distance to railway | (−) 3.00 × 10−3 | 4.60 |
*Signs in parentheses indicate positive/negative relationships between favorability and variables. B is the coefficient multiplying the variable values in the logit of the multivariate logistic regression. The Wald parameter quantifies the relevance of every variable in the model. Variable abbreviations are given in Appendix 1 Table 1.