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. 2022 May 9;16(5):e0010432. doi: 10.1371/journal.pntd.0010432

Table 3. Optimal generalized additive models built with time lags and non-time lags.

Model type Formula GCV R 2
No time lag model
Dependent variables
Reported incidence f0+s(SDt) + RHt + s(ATt) + PRCPt + s(Montht) + WSt + s(TDt) 4.05E-15 86%
Coefficient of infection of human to human (β1) f0+SDt + RHt + s(ATt) + PRCPt + s(Montht) + s(WSt) + s(TDt) 1.59E-19 62%
Coefficient of infection of environment to human (βw1) f0+SDt + s(RHt) + s(ATt) + s(PRCPt) + s(Montht) + s(WSt) + s(TDt) 9.04E-18 86%
Coefficient of infection of tick (β21) f0+SDt + RHt + s(ATt) + PRCPt + s(Montht) + s(WSt) + s(TDt) 5.92E-22 96%
Coefficient of infection of animal to human (β31) f0+SDt + s(RHt) + s(ATt) + s(PRCPt) + s(Montht) + s(WSt) + s(TDt) 3.33E-18 75%
Time lag 30 days model
Dependent variables
Reported incidence f0+SDΔt + RHΔt + s(ATΔt) + PRCPΔt + s(MonthΔt) + WSΔt + TDΔt 4.87E-15 83%
Coefficient of infection of human to human (β1) f0+s(SDΔt) + s(RHΔt) + s(ATΔt) + s(PRCPΔt) + s(MonthΔt) + s(WSΔt) + TDΔt 1.76E-19 58%
Coefficient of infection of environment to human (βw1) f0+s(SDΔt) + s(RHΔt) + s(ATΔt) + PRCPΔt + s(MonthΔt) + s(WSΔt) + s(TDΔt) 8.36E-18 87%
Coefficient of infection of tick (β21) f0+s(SDΔt) + s(RHΔt) + s(ATΔt) + PRCPΔt + s(MonthΔt) + s(WSΔt) + TDΔt 6.05E-22 96%
Coefficient of infection of animal to human (β31) f0+s(SDΔt) + s(RHΔt) + s(ATΔt) + PRCPΔt + s(MonthΔt) + s(WSΔt) + TDΔt 3.69E-18 72%

*SD = Sunshine duration, RH = Relative humidity, AT = Average temperature, PRCP = 24-hour precipitation, WS = Wind speed, TD = Tick density, and GCV = generalized cross-validation score