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Cited by 357

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Super-shedding and the link between human infection and livestock carriage of Escherichia coli O157

Open access
Chase-Topping, Margo, Gally, David, Low, Chris, Matthews, Louise, Woolhouse, Mark·2008·Nature Reviews Microbiology

Abstract

Cattle that excrete more Escherichia coli O157 than others are known as super-shedders. Super-shedding has important consequences for the epidemiology of E. coli O157 in cattle — its main reservoir — and for the risk of human infection, particularly owing to environmental exposure. Ultimately, control measures targeted at super-shedders may prove to be highly effective. We currently have only a limited understanding of both the nature and the determinants of super-shedding. However, super-shedding has been observed to be associated with colonization at the terminal rectum and might also occur more often with certain pathogen phage types. More generally, epidemiological evidence suggests that super-shedding might be important in other bacterial and viral infections.

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Crossref · 10.1038/nrmicro2029

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Metadata

Authors
Chase-Topping, M., Gally, D., Low, C., Matthews, L., & Woolhouse, M.
Venue
Nature Reviews Microbiology
Published
2008-12
Volume
6
Issue
12
Pages
904-912
ISSN
  • 1740-1526 (ISSN-L)
  • 1740-1534
OpenAlex
W2074615576
Cited by
357
References
2
FWCI
2.27
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Super-shedding and the link between human infection and livestock carriage of Escherichia coli O157. https://app.cochat.ai/papers/10.1038/nrmicro2029
The paper
Chase-Topping, M., Gally, D., Low, C., Matthews, L., & Woolhouse, M. (2008). Super-shedding and the link between human infection and livestock carriage of Escherichia coli O157. Nature Reviews Microbiology. https://doi.org/10.1038/nrmicro2029

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.