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Development of an epidemiological model for the assessment of the spread of the Classical Swine fever in Segovia

Conference in VIII Congreso de Ciencias Veterinarias y Biomedicas

April 28th, 2009

Vazquez M., Martinez B. and Sanchez-Vizcaino JM.

The aim of this study was to develop an epidemiological model to analyze the spread patterns
of the classical swine fever virus in Segovia and to assess the areas and farm types with more
epidemiological risk. The model used was a state-transition stochastic and spatial model. As a
result it was obtained a mean (95% IP) of 28 (1-98) infected farms, 15 (0-70) depopulated and
71 (2-279) quarantined farms in the protection zone. The average duration of the epidemic
was 63 (1-168) days and the average time to detection was 14 (6-39) days. The areas at higher
risk of spread of CSF in Segovia were identified in the central-western region. This study
could be useful for decision making regarding the prevention and control of potential
epidemics of Classical Swine Fever




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).


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Publication: Development of an epidemiological model for the assessment of the spread of the Classical Swine fever in Segovia





publiDB

TITLE: Desarrollo de un modelo epidemiologico para la evaluacion de la difusion de la peste porcina clasica en Segovia


TYPE: Oral communication


AUTHORS: Vazquez M., Martinez B. and Sanchez-Vizcaino JM.


José Manuel Sánchez-Vizcaíno Rodríguez

DATE: April 28th, 2009


CITE THIS COMMUNICATION:

Vazquez M., Martinez B. and Sanchez-Vizcaino JM. Development of an epidemiological model for the assessment of the spread of the Classical Swine fever in Segovia. VIII Congreso de Ciencias Veterinarias y Biomedicas, Facultad de Veterinaria. UCM, April 28th, 2009. (Oral communication)


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