Table 6.
Generalized linear model testing the relationship between Trypanosoma cruzi infection risk (i.e., infected vector abundance) and the predictor variables.
| Model | AIC | |||||
|---|---|---|---|---|---|---|
| IMS/h = Intercept + TAP + TWT + VC + BC + RA + BA + NMA + DMA +OCA | 117.34 | |||||
| IMS/h = Intercept + TWT + BC + NMA + DMA + RA | 110.77 | |||||
| Response | Variables | Estimates | SE | p | r² | p |
| IMS/h | 0.63 | 0.003 | ||||
| Intercept | −79.133 | 22.023 | 0.004 | |||
| TWT | 4.581 | 1.199 | 0.002 | |||
| BC | 33.024 | 9.886 | 0.006 | |||
| NMA | −0.072 | 0.040 | 0.096 | |||
| DMA | −1.991 | 0.742 | 0.020 | |||
| RA | 1.723 | 0.621 | 0.017 | |||
IMS/h: number of infected M. spinolai per hour; TAP: total annual precipitation; TWT: mean temperature of the warmest trimester; VC: vegetation cover; BC: cover of bromeliads; RA: mean records of reptiles per month; BA: mean records of birds per month; NMA: mean records of native mammals per month; DMA: mean records of domestic mammals per month; OCA: mean records of Oryctolagus cuniculus per month. The complete model is shown in the top. The selected model with the lowest AIC value is shown in the bottom. Statistically significant p-values in bold.