Additional file 1: of Seasonality and the effects of weather on Campylobacter infections

Figure S5 shows: a) Average weekly reported Campylobacter cases averaged over 20 years (from 1989 to 2009). All time series were square root transformed and then normalised to sum to unity. c) wavelet power spectrum of the transformed time-series of Campylobacter. Low values of the power spectrum are shown in dark blue, and high values in dark red. The black lines show the maxima of the undulations of the wavelet power spectrum. The light white shaded areas identify the region subjected to errors arising from dealing with a finite-length time series (edge effect). e) global average wavelet power spectrum, the black dots show the 5% significant levels computed based on 100 bootstrapped series g) original and reconstructed time-series according to all harmonics and the selected first 3 harmonics only. b), d), f) h) As in figures a), c) e) and g) but after the time-series of Campylobacter cases were adjusted using a seven day rolling mean, removal of bank holiday artefacts and adjusted for long term trend. (PDF 1032 kb)