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Cited by 176

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Predicting the risk of avian influenza A H7N9 infection in live-poultry markets across Asia

Open access
Gilbert, Marius, Golding, Nick, Zhou, Hang, Wint, G. R. William, Robinson, Timothy P., Tatem, Andrew J., Lai, Shengjie, Zhou, Sheng, Jiang, Hui, Guo, Danhuai, Huang, Zhi, Messina, Jane P., Xiao, Xiangming, Linard, Catherine, Van Boeckel, Thomas P., Martin, Vincent, Bhatt, Samir, Gething, Peter W., Farrar, Jeremy J., Hay, Simon I., Yu, Hongjie·2014·Nature Communications

Abstract

Two epidemic waves of an avian influenza A (H7N9) virus have so far affected China. Most human cases have been attributable to poultry exposure at live-poultry markets, where most positive isolates were sampled. The potential geographic extent of potential re-emerging epidemics is unknown, as are the factors associated with it. Using newly assembled data sets of the locations of 8,943 live-poultry markets in China and maps of environmental correlates, we develop a statistical model that accurately predicts the risk of H7N9 market infection across Asia. Local density of live-poultry markets is the most important predictor of H7N9 infection risk in markets, underscoring their key role in the spatial epidemiology of H7N9, alongside other poultry, land cover and anthropogenic predictor variables. Identification of areas in Asia with high suitability for H7N9 infection enhances our capacity to target biosurveillance and control, helping to restrict the spread of this important disease.

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Crossref · 10.1038/ncomms5116

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Metadata

Authors
Gilbert, M., Golding, N., Zhou, H., Wint, G. R. W., Robinson, T. P., Tatem, A. J., Lai, S., Zhou, S., Jiang, H., Guo, D., Huang, Z., Messina, J. P., Xiao, X., Linard, C., Van Boeckel, T. P., Martin, V., Bhatt, S., Gething, P. W., Farrar, J. J., Hay, S. I., & Yu, H.
Venue
Nature Communications
Published
2014-06-17
Volume
5
Issue
1
Pages
4116-4116
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2087228035
Cited by
176
References
3
FWCI
15.95
Type
journal article
Language
en
Open access
hybrid

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