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Complexity of the International Agro-Food Trade Network and Its Impact on Food Safety

Overview of attention for article published in PLOS ONE, May 2012
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3 blogs
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19 X users
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4 Google+ users

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240 Mendeley
Title
Complexity of the International Agro-Food Trade Network and Its Impact on Food Safety
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0037810
Pubmed ID
Authors

Mária Ercsey-Ravasz, Zoltán Toroczkai, Zoltán Lakner, József Baranyi

Abstract

With the world's population now in excess of 7 billion, it is vital to ensure the chemical and microbiological safety of our food, while maintaining the sustainability of its production, distribution and trade. Using UN databases, here we show that the international agro-food trade network (IFTN), with nodes and edges representing countries and import-export fluxes, respectively, has evolved into a highly heterogeneous, complex supply-chain network. Seven countries form the core of the IFTN, with high values of betweenness centrality and each trading with over 77% of all the countries in the world. Graph theoretical analysis and a dynamic food flux model show that the IFTN provides a vehicle suitable for the fast distribution of potential contaminants but unsuitable for tracing their origin. In particular, we show that high values of node betweenness and vulnerability correlate well with recorded large food poisoning outbreaks.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Mexico 3 1%
Netherlands 1 <1%
France 1 <1%
Hungary 1 <1%
Kenya 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Other 4 2%
Unknown 222 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 22%
Researcher 46 19%
Student > Master 34 14%
Other 14 6%
Student > Bachelor 14 6%
Other 48 20%
Unknown 31 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 22%
Environmental Science 27 11%
Social Sciences 19 8%
Engineering 17 7%
Business, Management and Accounting 15 6%
Other 63 26%
Unknown 47 20%