Identification of foot and mouth disease risk areas using a multi-criteria analysis approach.

Foot and mouth disease (FMD) is a highly infectious disease that affects cloven-hoofed livestock and wildlife. FMD has been a problem for decades, which has led to various measures to control, eradicate and prevent FMD by National Veterinary Services worldwide. Currently, the identification of areas that are at risk of FMD virus incursion and spread is a priority for FMD target surveillance after FMD is eradicated from a given country or region. In our study, a knowledge-driven spatial model was built to identify risk areas for FMD occurrence and to evaluate FMD surveillance performance in Rio Grande do Sul state, Brazil. For this purpose, multi-criteria decision analysis was used as a tool to seek multiple and conflicting criteria to determine a preferred course of action. Thirteen South American experts analyzed 18 variables associated with FMD introduction and dissemination pathways in Rio Grande do Sul. As a result, FMD higher risk areas were identified at international borders and in the central region of the state. The final model was expressed as a raster surface. The predictive ability of the model assessed by comparing, for each cell of the raster surface, the computed model risk scores with a binary variable representing the presence or absence of an FMD outbreak in that cell during the period 1985 to 2015. Current FMD surveillance performance was assessed, and recommendations were made to improve surveillance activities in critical areas.

Case-control study evaluating the sow's risk factors associated with stillbirth piglets in Midwestern in Brazil.

Reproductive failure in swine herds is often difficult to diagnose and is important to swine production. The present study aims to identify the potential risk factors (infectious/noninfectious) for stillborn piglets in two commercial swine farms situated in midwestern region of Brazil. The potential risk factors were included in a multivariable logistic model, and the dependent variable was defined as the presence of at least one stillborn piglet in a given litter (yes or no). In the best fit model, two variables from the multivariable analysis, total litter size (p = 0.01), and average birth weight (p = 0.03) were significantly associated with the presence of stillborn piglets at the farms examined in this study. Porcine circovirus type 2 (PCV2) was detected in 29.1 % of the litters. Neither parvovirus (PPV) nor leptospirosis infections were identified in this study, suggesting that they have a minor impact on reproductive disease.

Evaluation of hepatitis E virus infection between different production systems of pigs in Brazil.

The objectives of this study were to (1) investigate the occurrence of hepatitis E virus (HEV) in pigs from large-scale and family-scale farms, (2) genetically characterize the strains isolated, and (3) study the pathogenesis of swine HEV infection via immunohistochemistry. A total of 50 pigs from 10 farms in Mato Grosso State, Brazil were divided according to type of production system into either large-scale farms (n = 5) or family-scale farms (n = 5). Samples of liver, gallbladder, small and large intestines, bile, and feces from the pigs were analyzed by nested PCR with primers targeting the ORF2 region of HEV and by immunohistochemistry. Of the eight HEV-positive samples from pigs of family-scale farms, phylogenetic analysis revealed that seven of the swine HEV isolates clustered with subtype 3b of genotype 3 and one isolate was categorized with subtype 3 f. The HEV antigen was detected mainly in the small intestine samples from family-scale farms, suggesting an early stage HEV infection. HEV was not detected in the samples of pigs from large-scale farms, reinforcing the need for additional studies to evaluate the risk of transmission of HEV to humans from pigs from family-scale farms in Mato Grosso State.