Table 2 Results of the best GLMs for response frequencies of known reservoir rodent species in Chile. Models were built for the fifth more mentioned rodents. Binomial (analyses of deviance) use goodness of fit against null models (P < 0.05 is interpreted as fit). When the null model is a better fit, then it replaces the other models. *P values < 0.05. The question was: which pathogens or zoonotic diseases transmitted by rodents in Chile do you know of?
|  | β | ±SE | Z | P value | OR | CI low (2.5%) | CI high (97.5% |
|---|---|---|---|---|---|---|---|
1. O. longicaudatus (binomial GLM: χ2 = 8.13, df = 1, P = 0.004) |  |  |  |  |  |  |  |
   Intercept | 2.97 | 0.40 | 7.34 | < 0.001* |  |  |  |
   Experience (years) | -0.09 | 0.03 | -2.91 | 0.004* | 0.91 | 0.86 | 0.97 |
2. Rattus sp. (binomial GLM: χ2 = 5.76, df = 3, P = 0.12)a |  |  |  |  |  |  |  |
Intercept | 0.26 | 0.24 | 1.08 | 0.28 | - | - | - |
Environmental engineer | -0.81 | 0.38 | -2.16 | 0.031* | 0.44 | 0.21 | 0.93 |
Biologist | -0.64 | 0.35 | -1.87 | 0.062 | - | - | - |
Others | -0.51 | 0.56 | -0.92 | 0.36 | - | - | - |
3. Mus musculus (binomial GLM: null model) | Â | Â | Â | Â | Â | Â | Â |
Intercept | -1.22 | 0.17 | -7.34 | < 0.001* |  |  |  |
4. Abrothrix olivacea (binomial GLM: null model) | Â | Â | Â | Â | Â | Â | Â |
Intercept | -1.39 | 0.17 | -8.00 | < 0.001* |  |  |  |
5. Abrothrix longipilis (binomial GLM: null model) | Â | Â | Â | Â | Â | Â | Â |
Intercept | -1.98 | 0.21 | -9.28 | < 0.001* |  |  |  |