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. 2014 Oct 10;11(10):10406–10418. doi: 10.3390/ijerph111010406

Table 3.

Analyzing the influence factors of the mortality of snails in different molluscicide methods by binary logistic regression.

Molluscicide Method Variables Estimate Std. Error OR (95% CI) P-value
Immersion Intercept 1.843 0.066 6.317 (6.242, 6.390) 0.000
Day
1 - - 1.000 -
2 1.203 0.076 3.329 (2.867, 3.865) 0.000
3 2.960 0.156 19.320 (14.219, 26.251) 0.000
molluscicide
0.2 LDS −0.229 0.084 0.795 (0.674, 0.938) 0.006
0.4 LDS 0.209 0.092 1.233 (1.030, 1.476) 0.022
0.6 LDS 0.757 0.106 2.132 (1.733, 2.622) 0.000
1.0 WPN - - 1.000 -
Spraying Intercept 1.268 0.043 3.555 (3.267, 3.866) 0.000
Day
1 - - 1.000 -
3 0.569 0.040 1.767 (1.635, 1.909) 0.000
7 1.164 0.046 3.204 (2.927, 3.507) 0.000
molluscicide
0.4 LDS −0.306 0.052 0.736 (0.665, 0.815) 0.000
0.6 LDS −0.001 0.054 0.999 (0.898, 1.111) 0.983
0.8 LDS 0.221 0.057 1.247 (1.116, 1.393) 0.000
1.0 LDS 0.277 0.057 1.319 (1.179, 1.475) 0.000
1.0 WPN - - 1.000 -
Powdering Intercept 0.934 0.039 2.544 (2.357, 2.747) 0.000
Day
1 - - 1.000 -
3 0.556 0.036 1.744 (1.625, 1.873) 0.000
7 1.171 0.041 3.225 (2.976, 3.496) 0.000
molluscicide
0.4 LDS −0.206 0.048 0.814 (0.742, 0.894) 0.000
0.6 LDS 0.024 0.049 1.024 (0.930, 1.128) 0.630
0.8 LDS 0.263 0.051 1.300 (1.178, 1.436) 0.000
1.0 LDS 0.431 0.052 1.539 (1.389, 1.704) 0.000
1.0 WPN - - 1.000 -