Correlation between predictors.

<p>Correlation between predictors.</p

Model fits to daily number of trauma admissions.

<p>Daily number of trauma admissions at OUH Ullevål 2001–2010 (grey) with fit from various statistical models superimposed (black). Seasonal models using Fourier series (left column) or daily daylight and weather variables (right column), without an additional week effect (top row) or with an additional week effect added (bottom row).</p

Daily number of trauma admissions.

<p>Daily number of trauma admissions at OUH Ullevål 2001–2010. Long-term trend from Generalized Additive Model superimposed. A day is defined as the 24-h time interval starting at 06:00 local time on a given date.</p

Seasonal component.

<p>Estimated seasonal component by trigonometric functions for daily trauma admission across the 10 years 2001–2010.</p

Poisson regression results.

<p>Poisson regression results.</p

Additional file 1: of Exploring functional data analysis and wavelet principal component analysis on ecstasy (MDMA) wastewater data

Figure S1. Functional principal components (FPCs) resulting from functional principal component analysis (FPCA). Shows the mean of the fitted curves (solid line) and how the shape of an individual curve differs from the mean curve if a multiple of the principal component curve is added to (+ +) or subtracted from (- -) the mean curve. Panel A –First three FPCs resulting from a FPCA using Fourier basis functions and no smoothing parameter; Panel B – First three FPCs resulting from a FPCA using Fourier basis functions and common-optimal smoothing parameter; Panel C – First three FPCs resulting from a FPCA using Fourier basis functions and individual-optimal smoothing parameter; Panel D – First three FPCs resulting from a FPCA using B-splines basis functions and no smoothing parameter; Panel E – First three FPCs resulting from a FPCA using B-splines basis functions and common-optimal smoothing parameter; Panel F – First three FPCs resulting from a FPCA using B-splines basis functions and individual-optimal smoothing parameter. (PDF 27 kb

Combined model fitted to daily number of trauma admissions.

<p>Daily number of trauma admissions at OUH Ullevål 2001–2010. Combined Fourier and daylight and weather model with cyclic weekly pattern.</p

Weekly pattern.

<p>Estimated weekly pattern in daily trauma admission across all 572 weeks in the 10 year sample 2001–2010 for the three models displayed in Figs <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0192568#pone.0192568.g002" target="_blank">2B, 2D</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0192568#pone.0192568.g005" target="_blank">5</a>.</p

Key topics to communicate to the public related to pandemic risk.

Key topics to communicate to the public related to pandemic risk.</p

Bubble chart representation of information relating to the theme ‘How the virus gets into the human body and generates disease’.

Bubble chart representation of information relating to the theme ‘How the virus gets into the human body and generates disease’.</p