Seneca Valley Virus (SVV) is a disease circulating in pigs. The clinical signs associated with SVV in pigs include vesicles (blisters) or erosions (results of ruptured vesicles) on a pig’s snout, mouth, or feet where the hoof meets the skin. There have been reports of unexplained lameness, off-feed events and diarrhea in piglets prior to the emergence of vesicles or erosions in groups of pigs.
The clinical signs related to SVV cannot be distinguished from vesicular foreign animal diseases (FADs) including foot-and-mouth disease, vesicular stomatitis, and swine vesicular disease, which are reportable trade-limiting FADs in pigs. Any time these clinical signs are observed in pigs it is imperative that the state animal health official is notified immediately either directly or through the herd veterinarian so they can initiate an investigation to confirm that the clinical signs are not caused by a FAD. DCPAH has provided diagnostic results for Foot and Mouth Disease within a 24 hour turnover.
Presently there is little known about this disease or how it spreads, prevention methods, control measures, disease entry, treatment, or effective vaccine. An increase in reporting will help to develop the tools needed to mitigate the effects of the disease.
If you see these lesions on the feet, coronary band, or the snout of pigs, please contact Michigan Department of Agriculture and Rural Development (MDARD) at 800-292-3939 or after hours at 517-373-0440.
Producer roles and responsibilities:
Herd veterinarian roles and responsibilities:
The industry is working to expedite diagnostic information to separate SVV from FAD.
Once a FAD has been ruled out as a disease:
Got vesicles? Report ‘em! MDARD 1-800-292-3939 or after hours at 517-373-0440
Barn-level education for employees to help aid in the recognition and reporting of suspected FADs is available at no charge through the National Pork Board in the form of a FAD Push Pack (Item#:04892) which can be found online or contact Madonna Benjamin at 517-614-8875.
Additional information and images: