Skip to main content
. 2016 Sep 9;11(9):e0161497. doi: 10.1371/journal.pone.0161497

Table 2. Results from multi-level multivariable and exact a logistic regression models showing associations between the occurrence of Salmonella in raccoon fecal and soil samples with respect to raccoon sex for raccoon samples, year, season, rainfall and interaction effects in Ontario, Canada.

Multivariable models for Salmonella according to sample type
Predictor Sub-Category Raccoon feces b Soil b, c Manure Pit b, d
(n = 1092) (n = 1609) (n = 69)
Odds Ratio 95% CI P Odds Ratio 95% CI P Odds Ratio 95% CI P
Sex Female REF
Male 2.06 1.28–3.32 0.003
Season May to July REF REF REF
Aug. to Nov. 5.27 2.18–12.77 < 0.001 2.74 1.66–4.54 < 0.001 3.86 1.00–17.68 0.044
Year e 2012 (2011 REF) 1.26 0.782.04 0.335 0.42 0.09–1.75 0.210
2013 (2011 REF) 0.45 0.24–0.83 0.011 0.06 0.006–0.42 < 0.001
Rainfall Sum prior 30 days 1.00 0.991.00 0.155
Interactions f Sex*Season 0.50 0.26–0.94 0.031
Rainfall*Season 0.99 0.98–1.00 0.014
Variance [VPC] Site-level 0.12 [2.8] 0.02–0.58
Animal-level 0.79 [18.7] 0.32–1.93
Sample-level [78.5]

a Exact logistic regression was used to model manure pit samples.

b Random effects included site and animal. Significant differences are in bold, n = total number of samples, the dash indicates “Not Applicable”, REF = referent group, and CI = confidence interval.

c Random effect for site was not included in the model because it did not improve model fit based on AIC and BIC; it explained only a small amount of the variance (0.023), and its removal had little to no impact on the coefficients in the model.

d Interactions were not tested for manure pit samples and random effects were not included in the model.

e Wald’s χ2 test for year was P = 0.004 for soil samples. Results for 2013 versus 2012 for soil samples and manure pit samples were (OR = 0.39; 95% CI, 0.21–0.72; p = 0.003) and (OR = 0.16; 95% CI, 0.01–0.97; p = 0.029), respectively.

f To interpret season, sex, rainfall, and their interaction effects, refer to contrasts in Table 3.