Literature DB >> 19775765

Network analysis of Italian cattle trade patterns and evaluation of risks for potential disease spread.

Fabrizio Natale1, Armando Giovannini, Lara Savini, Diana Palma, Luigi Possenti, Gianluca Fiore, Paolo Calistri.   

Abstract

Livestock movement data represent a valuable source of information to understand the pattern of contacts between premises which may determine the spread of diseases. Social network analysis techniques have been used to analyse the movement patterns of cattle in Italy in 2007. A description of the structure of the Italian cattle industry is presented and the main trade flows and the relations between premises in relation to the potential spread of cattle diseases are investigated. Epidemic simulations have been carried out on the network build out of movement data using a network-based meta-population model. The simulations show the influence of the network structure on the dynamics and size of a hypothetic epidemic and give useful indications on the effects of targeted removal of nodes based on the centrality of premises within the network of animal movements.

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Year:  2009        PMID: 19775765     DOI: 10.1016/j.prevetmed.2009.08.026

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  49 in total

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Authors:  Paolo Bajardi; Alain Barrat; Fabrizio Natale; Lara Savini; Vittoria Colizza
Journal:  PLoS One       Date:  2011-05-18       Impact factor: 3.240

7.  Networks and the epidemiology of infectious disease.

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Journal:  Interdiscip Perspect Infect Dis       Date:  2011-03-16

8.  Demographics of cattle movements in the United Kingdom.

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Authors:  Michael J Tildesley; Victoriya V Volkova; Mark Ej Woolhouse
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10.  On the robustness of in- and out-components in a temporal network.

Authors:  Mario Konschake; Hartmut H K Lentz; Franz J Conraths; Philipp Hövel; Thomas Selhorst
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