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Combined application of social network and cluster detection analyses for temporal-spatial characterization of animal movements in Salamanca, Spain

Investigation article published in Preventive Veterinary Medicine

September 1st, 2009

Social network analysis was used in combination with techniques for detection of temporal-spatial clusters to identify operations at high risk of receiving or dispatching pigs, from January through December 2005, in the Spanish province of Salamanca. The temporal-spatial structure of the network was explicitly analyzed to estimate the statistical significance of observed clusters. Significant (P<0.01) temporal-spatial clusters identified were grouped into two compartments based on the nature and extent of the contacts among operations within the clusters. One of the compartments was identified from January through April, included a high proportion of extensive farms (0.39), and was likely to be related with the production and trade of Iberian pigs. The other compartment encompassed a smaller proportion of extensive farms (0.11: P<0.01), took place from May through December, and was probably related to intensive production systems. Analysis of a sub-section of the network, which was selected based on the administrative division of Spain, yielded to the identification of a different set of clusters, showing that results of social network analysis may be sensitive to the extension of the information used in the analysis. The approach presented here will be useful for the implementation of differential surveillance, prevention, and control strategies at specific times and locations, which will aid in the optimization of human and financial resources




Martinez-Lopez B., Perez AM. and Sanchez-Vizcaino JM..




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Combined application of social network and cluster detection analyses for temporal-spatial characterization of animal movements in Salamanca, Spain

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Combined application of social network and cluster detection analyses for temporal-spatial characterization of animal movements in Salamanca, Spain



Participants:

Universidad ComplutenseServicio de Inmunología Viral y Medicina Preventiva (SUAT). Centro de Vigilancia Sanitaria Veterinaria (VISAVET). Universidad Complutense (UCM).

Universidad ComplutenseDepartamento de Sanidad Animal. Facultad de Veterinaria. Universidad Complutense (UCM).

University of California-DavisUniversity of California-Davis (UCDAVIS).

University of California-DavisSchool of Veterinary Medicine. University of California-Davis (UCDAVIS).

Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET).







Preventive Veterinary Medicine
FACTOR YEAR Q
2.121 2009

NLMID: 8217463

PMID: 19500865

ISSN: 0167-5877



TITLE: Combined application of social network and cluster detection analyses for temporal-spatial characterization of animal movements in Salamanca, Spain


JOURNAL: Prev Vet Med


NUMERACIÓN: 91(1):29-38


AÑO: 2009


PUBLISHER: Elsevier Science Publishers


AUTHORS: Martinez-Lopez B., Perez AM. and Sanchez-Vizcaino JM..


2nd
Andrés Maximiliano Pérez
Last
José Manuel Sánchez-Vizcaíno Rodríguez

DOI: https://doi.org/10.1016/j.prevetmed.2009.05.007


CITE THIS PUBLICATION:

Martinez-Lopez B., Perez AM. and Sanchez-Vizcaino JM. Combined application of social network and cluster detection analyses for temporal-spatial characterization of animal movements in Salamanca, Spain. Preventive Veterinary Medicine. 91(1):29-38. 2009. (A). ISSN: 0167-5877. DOI: 10.1016/j.prevetmed.2009.05.007


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