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Volume 18, Number 3—March 2012

Pathogenic Potential to Humans of Bovine Escherichia coli O26, Scotland

Margo E. Chase-ToppingComments to Author , Tracy Rosser, Lesley J. Allison, Emily Courcier, Judith Evans, Iain J. McKendrick, Michael C. Pearce, Ian Handel, Alfredo Caprioli, Helge Karch, Mary F. Hanson, Kevin G.J. Pollock, Mary E. Locking, Mark E.J. Woolhouse, Louise Matthews, J. Chris Low, and David L. Gally
Author affiliations: University of Edinburgh, Edinburgh, UK (M.E. Chase-Topping, E. Courcier, M.C. Pearce, M.E.J. Woolhouse); The Roslin Institute and Royal (Dick) School of Veterinary Studies, Edinburgh (T. Rosser, I. Handel, D.L. Gally); Scottish E. coli O157/VTEC Reference Laboratory, Edinburgh (L.J. Allison, M.F. Hanson); Scottish Agricultural College, Edinburgh (J. Evans, M.C. Pearce, J.C. Low); Biomathematics and Statistics Scotland, Edinburgh (I.J. McKendrick); Istituto Superiore di Sanità, Rome, Italy (A. Caprioli); University of Münster, Münster, Germany (H. Karch); Health Protection Scotland, Glasgow, UK (K.G.J. Pollock, M.E. Locking); University of Glasgow Veterinary School, Glasgow (L. Matthews)

Main Article

Figure 3

Patterns in data associated with the clinical severity of Escherichia coli O157 and E. coli O26 infection in humans, as identified by nonmetric multidimensional scaling, Scotland. A) Joint graph illustrating the association between the multilocus sequence typing and genotypic variables measured and the severity of the human infection (hemolytic uremic syndrome [HUS] in red and non-HUS [diarrhea, bloody diarrhea] in green). B) 3-dimensional scatterplot and 80% confidence ellipses (R rgl package [

Figure 3. Patterns in data associated with the clinical severity of Escherichia coli O26 infection in humans, as identified by nonmetric multidimensional scaling, Scotland. A) Joint graph illustrating the association between the multilocus sequence typing and genotypic variables measured and the severity of the human infection (hemolytic uremic syndrome [HUS] in red and non-HUS [diarrhea, bloody diarrhea] in green). B) 3-dimensional scatterplot and 80% confidence ellipses (R rgl package [33]) around the cases in space illustrating the separation between individual classes as HUS (green) and non-HUS (red).

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