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Risk Maps for the Spread of Highly Pathogenic Avian Influenza in Poultry

Overview of attention for article published in PLoS Computational Biology, April 2007
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1 policy source

Citations

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163 Dimensions

Readers on

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235 Mendeley
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4 CiteULike
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1 Connotea
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Title
Risk Maps for the Spread of Highly Pathogenic Avian Influenza in Poultry
Published in
PLoS Computational Biology, April 2007
DOI 10.1371/journal.pcbi.0030071
Pubmed ID
Authors

Gert Jan Boender, Thomas J Hagenaars, Annemarie Bouma, Gonnie Nodelijk, Armin R. W Elbers, Mart C. M de Jong, Michiel van Boven

Abstract

Devastating epidemics of highly contagious animal diseases such as avian influenza, classical swine fever, and foot-and-mouth disease underline the need for improved understanding of the factors promoting the spread of these pathogens. Here the authors present a spatial analysis of the between-farm transmission of a highly pathogenic H7N7 avian influenza virus that caused a large epidemic in The Netherlands in 2003. The authors developed a method to estimate key parameters determining the spread of highly transmissible animal diseases between farms based on outbreak data. The method allows for the identification of high-risk areas for propagating spread in an epidemiologically underpinned manner. A central concept is the transmission kernel, which determines the probability of pathogen transmission from infected to uninfected farms as a function of interfarm distance. The authors show how an estimate of the transmission kernel naturally provides estimates of the critical farm density and local reproduction numbers, which allows one to evaluate the effectiveness of control strategies. For avian influenza, the analyses show that there are two poultry-dense areas in The Netherlands where epidemic spread is possible, and in which local control measures are unlikely to be able to halt an unfolding epidemic. In these regions an epidemic can only be brought to an end by the depletion of susceptible farms by infection or massive culling. The analyses provide an estimate of the spatial range over which highly pathogenic avian influenza viruses spread between farms, and emphasize that control measures aimed at controlling such outbreaks need to take into account the local density of farms.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 8 3%
United States 6 3%
Vietnam 2 <1%
Germany 1 <1%
Chile 1 <1%
Italy 1 <1%
Réunion 1 <1%
Kenya 1 <1%
Australia 1 <1%
Other 9 4%
Unknown 204 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 60 26%
Student > Ph. D. Student 43 18%
Student > Master 29 12%
Other 15 6%
Professor > Associate Professor 14 6%
Other 45 19%
Unknown 29 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 36%
Medicine and Dentistry 28 12%
Veterinary Science and Veterinary Medicine 26 11%
Mathematics 16 7%
Computer Science 6 3%
Other 33 14%
Unknown 41 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 June 2012.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#5,637
of 8,960 outputs
Outputs of similar age
#31,222
of 87,792 outputs
Outputs of similar age from PLoS Computational Biology
#19
of 30 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 87,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.