| Literature DB >> 19775765 |
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.Entities:
Mesh:
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