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. 2015 Aug 26;10(8):e0134701. doi: 10.1371/journal.pone.0134701

Table 2. Model 1 (with specific humidity) regression parameters.

Models were adjusted for previous weeks’ influenza activity.

Meteorological Smooth Terms EDF (p-value)* Adj. % Dev. Pred. Corr.
Specific Humidity Precipitation Solar Radiation R2 Explained Coeff. ǂ
Berlin 1.72 (<0.001) 1 (0.001) 0.70 75.7 0.87
Ljubljana 1.96 (<0.001) 1.71 (0.06) 1.97 (<0.001) 0.34 63 0.02
Castile & León 1.91 (0.002) 2.52 (0.001) 1.61 (<0.001) 0.56 72.1 0.88
North 1.88 (<0.001) 1.81 (<0.001) 1 (0.07) 0.64 75.1 0.71
Haifa 1.91 (0.02) 1 (0.001) 0.19 51.2 0.33
Center 1 (<0.001) 1 (0.01) 1 (0.01) 0.71 83.2 0.86
Tel Aviv 1.88 (<0.001) 1 (0.04) 0.70 77.6 0.91
Jerusalem 1.78 (0.001) 2.81 (<0.001) 0.75 86.1 0.84
South 1.88 (0.002) 1 (0.009) 1 (0.003) 0.69 73.6 0.82

* EDF is the effective degree of freedom for the estimated smooth terms. Meteorological parameter units: g/kg for specific humidity, mm/day for precipitation, W/m2 for solar radiation.

ǂ Correlation coefficient between the estimated influenza-associated ILI or ARI with the observed during 2010/2011 season.