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. 2017 Jan 4;12(1):e0168209. doi: 10.1371/journal.pone.0168209

Table 4. Time-series regression results with the association of 76% three-dose PCV13 coverage on pneumonia outcomes highlighted.

All clinical pneumonia a
Model and covariate a IRR (95%CI);
p-value
    3dose (B1) 1.469 (0.865, 2.493);
p = 0.154
    L1.dres (B2) 1.015 (1.004, 1.025);
p = 0.008
Fast breathing pneumonia a Chest indrawing pneumonia a Danger sign pneumonia a Hypoxemic pneumonia a Mortality a Proportion danger sign a
Model and covariate a IRR (95%CI); IRR (95%CI); IRR (95%CI); IRR (95%CI); IRR (95%CI); OR (95%CI);
p-value p-value p-value p-value p-value p-value
    3dose (B1) 2.347 (1.389, 3.966); 1.393 (0.725, 2.678); 0.636 (0.313, 1.295); 0.532 (0.299, 0.945); 0.643 (0.416, 0.994); 0.351 (0.230, 0.536);
p = 0.001 p = 0.320 p = 0.212 p = 0.031 p = 0.047 p<0.0001
    L1.dres (B2) 1.009 (0.990, 1.028); 1.026 (1.008, 1.043); 1.042 (1.025, 1.059); 1.055 (1.018, 1.094); 1.029 (0.932, 1.135); 1.060 (1.041, 1.078);
p = 0.379 p = 0.003 p<0.0001 p = 0.004 p = 0.572 p<0.0001

IRR = Incidence Rate Ratio; OR = Odds Ratio

a 3dose is the population three-dose PCV13 coverage, scaled from 0 to 1 so that 1 = 76% to give an estimated effect (B1) at 76% coverage, the level reached in the post-PCV13 period; L1.dres is the deviance residual for the previous month in an identical model without the dres term in it, which was added to adjust for residual autocorrelation in the time-series

Observations = 29; these are the 30 calendar months in time (January 2012 to June 2014) minus one due to the inclusion of the one-month lagged residual term L1.dres