Table 2

ARIMA specifications and covariate effects on the number of ED visits between 1 January 2014 and 31 December 2018 (training sets)


Hospitals
ABCDE
Model specificationARIMA parameters (p, d and q)(0, 1, 2)(1, 1, 1)(1, 1, 2)(1, 1, 1)(1, 1, 1)
Fourier terms*3, 133, 143, 133, 163, 15
Covariate effects (SE)†Temperature (°C)1.29 (0.15)1.23 (0.14)0.68 (0.11)1.16 (0.18)1.84 (0.18)
Humidity (%)−0.08 (0.04)
Precipitation (mm)−0.2 (0.05)−0.12 (0.05)−0.13 (0.07)−0.31 (0.06)
NO2 (μg/m3)−0.08 (0.03)−0.09 (0.04)
PM10 (μg/m3)0.03 (0.02)
ILI (weekly new cases per 1000 inhabitants)1.74 (0.41)1.05 (0.37)0.73 (0.29)0.97 (0.46)
Festivity−28.23 (1.98)−12.96 (1.45)−25.42 (2.23)−14.56 (2.39)
Special festivity‡−43.16 (6.31)−57.64 (6.36), −62.61 (6.29)−42.06 (4.92)−59.86 (7.58)−63.24 (7.92)
Day before/after festivity7.14 (1.5)9.06 (1.58)3.75 (1.22)13.89 (1.96)
  • *Number of sine and cosine terms used to approximate day of the week and year-round seasonality.

  • †Parameter estimates and SEs in parentheses. Predictors were retained in the final model only if statistically significant (p value <0.05).

  • ‡New Year’s Eve for hospitals A, C and D, and New Year’s Eve and 15 August for hospital B.

  • .ARIMA, autoregressive integrated moving average; ILI, influenza-like illness; NO2, nitric oxide; PM10, particulate matter with a diameter of ≤10 µm.