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. 2021 Dec 7;59(2):700–709. doi: 10.1093/jme/tjab189

Table 3.

Coefficients for the best-fit Bayesian network model for tick abundance in Illinois by region, species, and lifestage using generalized linear models

Observed variable Region Intercept Precipitation Tmax DP VPmax VPmin
Fall Summer Fall Summer Fall Summer Fall Summer Fall Summer Fall Summer
Precip All 92.5 152
Tmax All 8.57 6.02 0.0084 0.0056 1.33 1.16 −1.4 1.49
DP Central −5.01 19.4 0.028 −7.83E-05 16.8 −0.93
South 16.4 19.9 −0.051 −0.0051 2.24 0.40
VPmax Central 0.053 −25.5 0.017 0.00078 0.415 2.28 0.419 −1.32 −0.55 0.81
South −15.9 −19.7 −0.0044 −0.00031 2.03 1.68 −1.29 −0.653 −1.02 1.06
VPmin Central 0.80 0.00084
South 0.77 −0.00050
Ixodes scapularis
Nymphs
All 0.22
Dermacentor Variabilis
Nymphs
All 0.050
Amblyomma Americanum
Nymphs
All 0.48 11.4
Ixodes scapularis
Adults
All 1.84 0.27 −0.077 −0.013
Dermacentor Variabilis
Adults
Central −3.4 0.041 1.48
South 15.1 0.028 −19.44
Ixodes scapularis
Adults
Central −0.28 0.0065
South −0.41 0.031

Monthly climate variables were Tmax (average daily maximum temperature), DP (average daily dew point), VPmax (average daily maximum vapor pressure deficit), VPmin (average daily minimum vapor pressure deficit), and Precip (total precipitation).