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dc.contributor.author
Alarcon, Laura Valeria
dc.contributor.author
Cipriotti, Pablo Ariel
dc.contributor.author
Monterubbianessi, Mariela
dc.contributor.author
Perfumo, Carlos
dc.contributor.author
Mateu, Enric
dc.contributor.author
Allepuz, Alberto
dc.date.available
2022-01-28T22:07:39Z
dc.date.issued
2019-12
dc.identifier.citation
Alarcon, Laura Valeria; Cipriotti, Pablo Ariel; Monterubbianessi, Mariela; Perfumo, Carlos; Mateu, Enric; et al.; Network analysis of pig movements in Argentina: Identification of key farms in the spread of infectious diseases and their biosecurity levels; Wiley Blackwell Publishing, Inc; Transboundary And Emerging Diseases; 67; 3; 12-2019; 1152-1163
dc.identifier.issn
1865-1674
dc.identifier.uri
http://hdl.handle.net/11336/150935
dc.description.abstract
This study uses network analysis to evaluate how swine movements in Argentina could contribute to disease spread. Movement data for the 2014–2017 period were obtained from Argentina's online livestock traceability registry and categorized as follows: animals of high genetic value sent to other farms, animals to or from markets, animals sent to finisher operations and slaughterhouse. A network analysis was carried out considering the first three movement types. First, descriptive, centrality and cohesion measures were calculated for each movement type and year. Next, to determine whether networks had a small-world topology, these were compared with the results from random Erdös–Rényi network simulations. Then, the basic reproductive number (R0) of the genetic network, the group of farms with higher potential for disease spread standing at the top of the production chain, was calculated to identify farms acting as super-spreaders. Finally, their external biosecurity scores were evaluated. The genetic network in Argentina presented a scale-free and small-world topology. Thus, we estimate that disease spread would be fast, preferably to highly connected nodes and with little chances of being contained. Throughout the study, 31 farms were identified as super-spreaders in the genetic network for all years, while other 55 were super-spreaders at least once, from an average of 1,613 farms per year. Interestingly, removal of less than 5% of higher degree and betweenness farms resulted in a >90% reduction of R0 indicating that few farms have a key role in disease spread. When biosecurity scores of the most relevant super-spreaders were examined, it was evident that many were at risk of introducing and disseminating new pathogens across the whole of Argentina's pig production network. These results highlight the usefulness of establishing targeted surveillance and intervention programmes, emphasizing the need for better biosecurity scores in Argentinean swine production units, especially in super-spreader farms.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley Blackwell Publishing, Inc
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
BASIC REPRODUCTIVE NUMBER
dc.subject
BIOSECURITY
dc.subject
NETWORK ANALYSIS
dc.subject
PIG MOVEMENTS
dc.subject.classification
Ciencias Veterinarias
dc.subject.classification
Ciencias Veterinarias
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CIENCIAS AGRÍCOLAS
dc.title
Network analysis of pig movements in Argentina: Identification of key farms in the spread of infectious diseases and their biosecurity levels
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-12-15T14:15:41Z
dc.journal.volume
67
dc.journal.number
3
dc.journal.pagination
1152-1163
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Alarcon, Laura Valeria. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina. Universitat Autònoma de Barcelona; España
dc.description.fil
Fil: Cipriotti, Pablo Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
dc.description.fil
Fil: Monterubbianessi, Mariela. Ministerio de Produccion y Trabajo. Secretaria de Gobierno de Agroindustria. Servicio Nacional de Sanidad y Calidad Agroalimentaria. Direccion Nacional de Sanidad Animal.; Argentina
dc.description.fil
Fil: Perfumo, Carlos. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina
dc.description.fil
Fil: Mateu, Enric. Universidad Autonoma de Barcelona. Facultad de Veterinaria; España
dc.description.fil
Fil: Allepuz, Alberto. Universidad Autonoma de Barcelona. Facultad de Veterinaria; España
dc.journal.title
Transboundary And Emerging Diseases
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/tbed.13441
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/tbed.13441
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