Risk factors for porcine reproductive and respiratory syndrome virus infection and resulting challenges for effective disease surveillance

摘要: This study aimed to identify risk factors for active porcine reproductive and respiratory syndrome virus (PRRSV) infection at farm level assess the probability of an infected being detected through passive disease surveillance in England. Data were obtained from a cross-sectional on 147 farrow-to-finish farms conducted April 2008 – 2009. The PRRSV identified using multivariable logistic regression analysis. system was evaluated stochastic scenario tree model. Evidence circulation confirmed 35.1% (95%CI: 26.8-43.4) cross sectional study, with higher proportion areas high pig density (more than 15000 pigs within 10 km radius farm). Farms more likely have if they used live vaccine-Porcilis PRRS (OR=7.5, 95%CI: 2.5-22.8), located (OR=2.9, 1.0-8.3) or had dead collected (OR=5.6, 1.7-18.3). that weaned 28 days age later lower odds positive compared those weaning 21-27 (OR=0.2, 0.1-0.7). detecting low (mode=0.074, 5th 95th percentiles: 0.067; 0.083 respectively). In particular which vaccine probabilities detection did not. Risk highlight importance biosecurity measures incursion infection. results further indicate combined approach diagnosis is needed assist effective control and/or elimination population.