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The role of live poultry movement and live bird market biosecurity in the epidemiology of influenza A (H7N9): A cross-sectional observational study in four eastern China provinces

Overview of attention for article published in Journal of Infection, July 2015
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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1 policy source
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3 X users
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1 Facebook page

Citations

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74 Dimensions

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77 Mendeley
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Title
The role of live poultry movement and live bird market biosecurity in the epidemiology of influenza A (H7N9): A cross-sectional observational study in four eastern China provinces
Published in
Journal of Infection, July 2015
DOI 10.1016/j.jinf.2015.06.012
Pubmed ID
Authors

Xiaoyan Zhou, Yin Li, Youming Wang, John Edwards, Fusheng Guo, Archie C.A. Clements, Baoxu Huang, Ricardo J. Soares Magalhaes

Abstract

A new reassortant influenza A (H7N9) virus emerged early 2013 in eastern China. Exposure to H7N9 infected poultry at live bird markets (LBM) was implicated as the main risk factor for human infection. We aimed to identify the role of LBM biosecurity indicators and poultry movement in the affected areas. A cross-sectional survey was carried out in 24 LBMs at the beginning of H7N9 outbreak in all affected provinces. We used univariable analysis to identify the biosecurity factors associated with the H7N9 presence in LBMs and social network and spatial analysis to quantify the connectivity and geographic variation in the connectivity of poultry movements. Chicken were the predominant poultry species traded by affected LBMs. The presence of H7N9 in LBMs was significantly associated with the type of LBM and with LBMs that sold chicken to other markets. The chicken movements were significantly spatially clustered and was highest in counties from Jiangsu and Anhui provinces. LBM biosecurity and chicken movement played an important role in the emergence of H7N9. This study identified highly connected areas in eastern China which continue to report human infections highlighting candidate areas for more detailed epidemiological investigations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 76 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 17%
Student > Ph. D. Student 11 14%
Student > Bachelor 10 13%
Researcher 9 12%
Other 7 9%
Other 11 14%
Unknown 16 21%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 13 17%
Agricultural and Biological Sciences 12 16%
Medicine and Dentistry 5 6%
Biochemistry, Genetics and Molecular Biology 4 5%
Immunology and Microbiology 3 4%
Other 17 22%
Unknown 23 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 January 2020.
All research outputs
#6,754,661
of 25,374,917 outputs
Outputs from Journal of Infection
#1,099
of 2,949 outputs
Outputs of similar age
#71,686
of 276,901 outputs
Outputs of similar age from Journal of Infection
#7
of 21 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,949 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.1. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 276,901 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.