Table 1 Measures for the performance of the Twitter supervised models (national and subnational) and the Google model (national) in estimating the overall intensity, onset and peaks of the 2015/16 influenza season when compared to RCGP ILI rates (national and subnational).

From: The added value of online user-generated content in traditional methods for influenza surveillance

 

Subnational level

National level

London Twitter

Midlands and East Twitter

North Twitter

South Twitter

England Twitter

England Google

Overall intensity

r

0.37

0.37

0.40

0.31

0.67

0.96

MSE

69.46

70.06

71.72

131.5

36.57

3.86

RMSE

8.33

8.37

8.47

11.47

6.05

1.96

MAE

6.28

5.95

6.13

7.83

4.27

1.47

MAPE

39.10%

45.55%

40.85%

45.31%

29.95%

14.10%

ME

−2.58

−5.43

−5.13

−6.99

−2.17

0.54

Max Error

18.05

19.95

23.42

32.81

13.88

4.32

Week Max Error

47

13

11

12

12

52

Max Percentage Error

214.88%

84.53%

83.05%

207.50%

75.72%

66.12%

Week of Max Percentage Error

47

13

11

46

47

52

Onset

Alert week

1

47

51

3

2

1

Time difference

2

−2

0

−1

−1

0

Peaks

Magnitude of 1st peak-to-peak difference

−0.55 (2.04%)

−3.57 (17.76%)

3.93 (18.36%)

−2.92 (10.25%)

1.32 (6.03%)

0.15 (0.68%)

Temporal offset of 1st peaks

12

2

4

2

4

2

Magnitude of 1st peak-to-model difference (same week as RCGP estimate)

−4.79 (17.74%)

−15.63 (77.76%)

−13.35 (62.38%)

−18.82 (66.04%)

−2.12 (9.68%)

−0.31 (1.42%)

Magnitude of 2nd peak-to-peak difference

6.05 (21.61%)

−11.86 (48.61%)

−7.81 (27.70%)

−25.24 (66.07%)

−4.28 (14.91%)

−3.16 (11.01%)

Temporal offset of 2nd peaks

6

5

4

2

4

1

Magnitude of 2nd peak-to-model difference (same week as RCGP estimate)

−15.03 (53.68%)

−19.81 (81.19%)

−23.42 (83.05%)

−32.81 (85.89%)

−11.87 (41.36%)

−3.86 (13.45%)