Title |
E. coli O157 on Scottish cattle farms: Evidence of local spread and persistence using repeat cross-sectional data
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Published in |
BMC Veterinary Research, April 2014
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DOI | 10.1186/1746-6148-10-95 |
Pubmed ID | |
Authors |
Liam J Herbert, Leila Vali, Deborah V Hoyle, Giles Innocent, Iain J McKendrick, Michael C Pearce, Dominic Mellor, Thibaud Porphyre, Mary Locking, Lesley Allison, Mary Hanson, Louise Matthews, George J Gunn, Mark EJ Woolhouse, Margo E Chase-Topping |
Abstract |
Escherichia coli (E. coli) O157 is a virulent zoonotic strain of enterohaemorrhagic E. coli. In Scotland (1998-2008) the annual reported rate of human infection is 4.4 per 100,000 population which is consistently higher than other regions of the UK and abroad. Cattle are the primary reservoir. Thus understanding infection dynamics in cattle is paramount to reducing human infections.A large database was created for farms sampled in two cross-sectional surveys carried out in Scotland (1998-2004). A statistical model was generated to identify risk factors for the presence of E. coli O157 on farms. Specific hypotheses were tested regarding the presence of E. coli O157 on local farms and the farms previous status. Pulsed-field gel electrophoresis (PFGE) profiles were further examined to ascertain whether local spread or persistence of strains could be inferred. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 3% |
Unknown | 38 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 13 | 33% |
Other | 4 | 10% |
Student > Ph. D. Student | 4 | 10% |
Student > Bachelor | 3 | 8% |
Student > Postgraduate | 3 | 8% |
Other | 3 | 8% |
Unknown | 9 | 23% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 7 | 18% |
Medicine and Dentistry | 6 | 15% |
Veterinary Science and Veterinary Medicine | 5 | 13% |
Mathematics | 3 | 8% |
Immunology and Microbiology | 3 | 8% |
Other | 4 | 10% |
Unknown | 11 | 28% |