Modeling the spatio-temporal dynamics of porcine reproductive & respiratory syndrome cases at farm level using geographical distance and pig trade network matrices

Modeling the spatio-temporal dynamics of porcine reproductive & respiratory syndrome cases at farm level using geographical distance and pig trade network matrices

Abstract Background Porcine reproductive and respiratory syndrome (PRRS) is one of the most economically devastating infectious diseases for the swine industry. A better understanding of the disease dynamics and the transmission pathways under diverse epidemiological scenarios is a key for the succe...

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Bibliographic Details
Main Authors: Sara Amirpour Haredasht, Dale Polson, Rodger Main, Kyuyoung Lee, Derald Holtkamp, Beatriz Martínez-López
Format: Article
Language:English
Published: BMC 2017-06-01
Series:BMC Veterinary Research
Subjects:
Parameter-driven model
Risk assessment
Bayesian approach
Disease dynamics
Risk-based surveillance
Decision making
Online Access:http://link.springer.com/article/10.1186/s12917-017-1076-6

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http://link.springer.com/article/10.1186/s12917-017-1076-6

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