Title |
Whole genome sequencing and de novo assembly identifies Sydney-like variant noroviruses and recombinants during the winter 2012/2013 outbreak in England
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Published in |
Virology Journal, November 2013
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DOI | 10.1186/1743-422x-10-335 |
Pubmed ID | |
Authors |
T H Nicholas Wong, Bethany L Dearlove, Jessica Hedge, Adam P Giess, Paolo Piazza, Amy Trebes, John Paul, Erasmus Smit, E Grace Smith, Julian K Sutton, Mark H Wilcox, Kate E Dingle, Tim E A Peto, Derrick W Crook, Daniel J Wilson, David H Wyllie |
Abstract |
Norovirus is the commonest cause of epidemic gastroenteritis among people of all ages. Outbreaks frequently occur in hospitals and the community, costing the UK an estimated £110 m per annum. An evolutionary explanation for periodic increases in norovirus cases, despite some host-specific post immunity is currently limited to the identification of obvious recombinants. Our understanding could be significantly enhanced by full length genome sequences for large numbers of intensively sampled viruses, which would also assist control and vaccine design. Our objective is to develop rapid, high-throughput, end-to-end methods yielding complete norovirus genome sequences. We apply these methods to recent English outbreaks, placing them in the wider context of the international norovirus epidemic of winter 2012. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 11% |
Spain | 1 | 11% |
United Kingdom | 1 | 11% |
Unknown | 6 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 56% |
Scientists | 2 | 22% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 1 | 1% |
Unknown | 68 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 23% |
Researcher | 16 | 23% |
Student > Bachelor | 7 | 10% |
Other | 6 | 9% |
Student > Master | 4 | 6% |
Other | 11 | 16% |
Unknown | 9 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 25 | 36% |
Medicine and Dentistry | 11 | 16% |
Biochemistry, Genetics and Molecular Biology | 7 | 10% |
Immunology and Microbiology | 3 | 4% |
Environmental Science | 2 | 3% |
Other | 7 | 10% |
Unknown | 14 | 20% |