Collaboration Boosts Swine Disease Detection

( National Pork Board and the Pork Checkoff )

Disease detection in the swine industry is improving. Through collaboration and aggregation of diagnostic results, the Domestic Swine Disease Monitoring Report, an initiative started by the Swine Health Information Center (SHIC) project in 2017, is allowing the swine industry to be more responsive to endemic or foreign infectious diseases.

In October, Iowa State University’s Giovani Trevisan, the program’s project coordinator, will present “Aggregating results and summarizing findings from multiple veterinary diagnostic laboratories in the US on a near real-time basis,” at the American Association of Veterianry Laboratory Diagnosticians Annual Meeting in Providence, R.I.

Trevisan, along with the program’s principal investigator, Daniel Linhares of Iowa State University, is focusing on maximizing porcine-related data and practices to improve the online dashboard that is consistently updated for ease of use. The model describes dynamics of disease detection by pathogen over time, specimen, age group and geographical space.

One of the things that makes this program unique is the aggregation of disease data in a format completely protecting the confidentiality of producers’ identities, says Paul Sundberg, executive director of SHIC.

“I think the big value to the swine industry has been, for the very first time, the ability to understand disease detection over time, geography, age and specific stage in the porcine life cycle,” Linhares says. “As a whole, it allows the industry to have a good understanding of swine health information across variables.”

SHIC’s Domestic Swine Disease Monitoring Report includes aggregated information from the Iowa State University Veterinary Diagnostic Lab (VDL), South Dakota State University ADRDL, University of Minnesota VDL, and Kansas State University VDL on five pathogens, having grown from two VDLs and one disease when the program was launched. 

They formed an advisory group to help give context to the aggregated data and interpret it. The report uses data from VDL cases with molecular tests for porcine reproductive and respiratory syndrome virus, enteric coronaviruses including porcine epidemic diarrhea virus and Mycoplasma hyopneumoniae. The report also includes information on disease detection by syndrome, including enteric, respiratory and central nervous system.

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