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 livestock industry is presented, 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 animal movement restrictions measures based on the centrality of premises within the network of animal movements.
NATALE Fabrizio;
GIOVANNINI Armando;
SAVINI Lara;
PALMA Diana;
POSSENTI Luigi;
FIORE Gianluca;
CALISTRI Paolo;
2009-11-10
ELSEVIER SCIENCE BV
JRC55218
0167-5877,
http://dx.doi.org/10.1016/j.prevetmed.2009.08.026,
https://publications.jrc.ec.europa.eu/repository/handle/JRC55218,
10.1016/j.prevetmed.2009.08.026,
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