Kwong GP(1), Poljak Z, Deardon R, Dewey
CE.
Abstract
Porcine reproductive and respiratory
syndrome (PRRS) has a worldwide distribution. This economically important
endemic disease causes reproductive failure in breeding stock and respiratory
tract illness in young pigs. In Ontario restricted fragment length polymorphism
(RFLP) 1-18-4 has been determined as one of the most common virus genotypes.
Individual-level models (ILMs) for infectious diseases, fitted in a Bayesian
MCMC framework, have been used to describe both the spatial and temporal spread
of diseases. They are an intuitive and flexible class of models that can take
into account population heterogeneity via various individual-level covariates.
The objective of this study is to identify relative importance of risk factors
for the spread of the genotype 1-18-4 from monitoring data in southern Ontario
using ILMs. Specifically, we explore networks through which resources are
obtained or delivered, as well as the ownership structure of herds, and
identify factors that may be contributing to high risk of infection. A population
of 316 herds which experienced their PRRS outbreaks between September 2004 and
August 2007 are included in the analyses, in which 194 (61%) are sow herds.
During the study period, 45 herds (27 sow herds) experienced their first outbreak
due to RFLP 1-18-4. Our results show that the three relatively most important
factors for the spread of 1-18-4 genotype in Ontario swine herds were sharing
the same herd ownership, gilt source and market trucks. All other networks had
relatively smaller impact on spread of this PRRSV genotype. Spatial proximity
could not be identified as important contributor to spread. Our findings also
suggest that gilt acclimation should be practiced whenever possible and
appropriate to reduce the risk for the herd and for others as it is already widely
implemented and recommended in the North American swine industry.
Copyright © 2013 Elsevier B.V. All
rights reserved. PMID: 23416041 [PubMed
- indexed for MEDLINE]
Kwong GP, Poljak Z, Deardon R, Dewey CE.
Bayesian analysis of risk factors for infection with a genotype of porcine
reproductive and respiratory syndrome virus in Ontario swine herds using
monitoring data. Prev Vet Med. 2013 Jul1;110(3-4):405-17. doi: 10.1016/j.prevetmed.2013.01.004.
Epub 2013 Feb 14.
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