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. 2019 Nov 25;14(11):e0220423. doi: 10.1371/journal.pone.0220423

Table 3. Performance of prediction models for seasonal influenza outbreaks after 26 weeks in the United States from 2015 to 2019.

R2 RMSE (forecast values) RMSE (Peak timing) RMSE (Peak amplitude)
Influenza-like illness Previous season 0.487 1.1 5.5 2.2
LR 0.720 0.8 2.5 1.5
ARIMAX 0.714 0.8 2.9 1.6
ANN 0.758* 0.7* 1.8* 0.8*
Total Influenza viruses Previous season 0.346 4802.8 5.8 6657.8
LR 0.792 2707.6 1.7 5574.5*
ARIMAX 0.806* 2618.2* 1.7 6726.4
ANN 0.738 3039.6 1.7* 7544.3
Influenza A virus Previous season 0.289 4190.9 5.8 4901.0
LR 0.777 2347.8 1.9 4694.7
ARIMAX 0.792 2265.2 1.6 5355.9
ANN 0.798* 2231.9* 1.2* 4545.3*
Influenza B virus Previous season -0.238 1880.8 3.7 5142.3
LR 0.427* 1279.4* 3.0 1453.6*
ARIMAX 0.352 1360.4 2.7 3163.0
ANN 0.403 1306.3 2.4* 1512.0

R2, Coefficient of determination; RMSE, Root-mean-square error; LR, Linear regression; ARIMAX, Auto Regressive Integrated Moving Average; ANN, artificial neural network.

* Best value among previous season, LR, ARIMAX, and ANN.

Units for the RMSE (forecast values) are percentage of visits for influenza-like illness and number of total influenza, influenza A, and influenza B viruses.

Units for the RMSE (Peak timing) are week.

Units for the RMSE (peak amplitude) are percentage of visits for influenza-like illness and number of total influenza, influenza A, and influenza B viruses.