Table 3.
y= ELISA | y=qPCR | |||||
---|---|---|---|---|---|---|
P (Wald) | OR | 95% CI | P (Wald) | OR | 95% CI | |
| ||||||
Male | 0.0001 | 7.11 | 2.62 to 19.3 | 0.009 | 44.0 | 2.58 to 749 |
Adult | 0.011 | 43.7 | 2.38 to 801 | 0.004 | 9.87 | 1.95 to ∞ |
| ||||||
State | 0.0176 | - | - | 0.0520 | - | - |
California vs Colorado | - | 4.65 | (1.60 to 13.5) | - | 4.92 | (1.29 to 18.8) |
California vs Florida | - | 1.57 | (0.449 to 5.47) | - | 0.941 | (0.217 to 4.08) |
Florida vs Colorado | - | 2.97 | (0.788 to 11.2) | - | 5.22 | (0.942 to 29.0) |
Region | 0.0429 | - | - | 0.402 | - | - |
Ventura vs San Diego | - | 8.61 | (1.26 to 59.0) | - | 2.19 | (0.320 to 15.0) |
Ventura vs Corona | - | 1.94 | (0.336 to 11.2) | - | 0.70 | (0.135 to 3.62) |
P value from Wald testing and odds ratios (OR) show significance of binary logistic regression modeling with FcaGHV1 ELISA result or qPCR result as the response variable (y). State and regional analyses were performed using categorical logistic regression modeling with sex and age as co-independent variables and qPCR or ELISA result as the response variable (y). Odds ratios were calculated to compare regions of California: Animals taken in by Ventura Animal Services, San Diego Feral Cat Coalition, and Corona Animal Shelter. Odds ratios between Colorado and Florida regions were not significant (not shown).