Volume 8, Number 9—September 2002
Research
Demographic Factors Associated with Hantavirus Infection in Bank Voles (Clethrionomys glareolus)
Table 2
Outcome of the binary logistic regression models I and II predictions of risk of a bank vole’s being seropositive for Puumula virus under specified conditions in relation to reference levels a–f
Model I |
Model II |
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Predictor | Coeff. | Zg | ph | OR | 95% CI | Coeff. | Z | p | OR | 95% CI |
Agea | ||||||||||
2 | 1.71 | 4.69 | <0.001 | 5.55 | 2.71 to 11.36 | 1.74 | 4.76 | <0.001 | 5.67 | 2.78 to 11.6 |
3 | 1.43 | 5.03 | <0.001 | 4.18 | 2.39 to 7.3 | 1.39 | 5.03 | <0.001 | 4.01 | 2.33 to 6.89 |
4 | 3.41 | 6.73 | <0.001 | 30.27 | 11.22 to 81.7 | 3.36 | 6.69 | <0.001 | 28.7 | 10.7 to 76.6 |
Genderb | ||||||||||
Male | 0.61 | 2.72 | 0.007 | 1.84 | 1.19 to 2.87 | 0.62 | 2.78 | 0.005 | 1.87 | 1.2 to 2.9 |
BMIc | 1.39 | 3.43 | 0.001 | 4.03 | 1.82 to 8.94 | 1.41 | 3.48 | <0.001 | 4.1 | 1.85 to 9.07 |
Phased | ||||||||||
Peak | 0.88 | 2.57 | 0.01 | 2.4 | 1.23 to 4.7 | 0.87 | 2.58 | 0.01 | 2.4 | 1.23 to 4.65 |
Increase | –1.03 | –2.07 | 0.04 | 0.36 | 0.13 to 0.95 | –1.03 | –2.1 | 0.04 | 0.36 | 0.14 to 0.93 |
Typee | ||||||||||
Case site | 0.10 | 0.48 | 0.63 | 1.11 | 0.73 to 1.69 | |||||
Pairf | ||||||||||
Center | 0.17 | 0.67 | 0.50 | 1.19 | 0.72 to 1.95 | |||||
North |
0.21 |
0.88 |
0.38 |
1.24 |
0.77 to 2.0 |
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aThe age class with the largest number of individuals was set as reference with which all others were compared, i.e., age class 1 (juveniles and subadults). bFemale bank voles were set as reference. cBody mass index (BMI) is a continuous variable; OR refers to unit increase. dThe decline/low population phase was used as reference. eThe sampling area type “random forest site” was set as reference. fSouth sampling pair was reference to other pairs on regional effect. gThe Z-score shows the number of standard deviations that the tested predictor class’s coefficient falls above or below the predictor’s reference level. hThe p value is the probability that the observed coefficient of the actual predictor class’s should be by random chance variation. Coeff., coefficient; OR, odds ratio; CI, confidence interval. |