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Table 1 Results of estimates for βinf, with its 95% Confidence Intervals (c.i.) in parenthesis. Log likelihood values for each model and lag. Log likelihood values for the null-model were -1827.19 for Model 1 and -1816.85 for Model 2. The significant estimates of βinf are marked with (*) and (**).

From: Occurrence of invasive pneumococcal disease and number of excess cases due to influenza

 

Influenza parameter, βinf and its 95% c.i.

P-value

Log likelihood

AIC

Model 1

    

No lag

0.05 (-0.05 – 0.15)

0.36

-1826.8

3665.5

1 week lag

0.13 (0.03 – 0.23)

0.012*

-1824.0

3660.0

2 weeks lag

0.11 (0.01 – 0.21)

0.029*

-1824.8

3661.6

3 weeks lag

0.14 (0.04 – 0.24)

0.005**

-1823.2

3658.3

4 weeks lag

0.13 (0.03 – 0.22)

0.008**

-1823.7

3659.3

Model 2

    

No lag

0.03 (-0.07 – 0.14)

0.81

-1816.8

3663.6

1 week lag

0.105 (-0.001 – 0.211)

0.051

-1814.9

3659.9

2 weeks lag

0.10 (-0.01 – 0.20)

0.120

-1815.6

3661.3

3 weeks lag

0.13 (0.02 – 0.23)

0.021*

-1814.2

3658.4

4 weeks lag

0.11 (0.01 – 0.21)

0.031*

-1814.5

3659.1