March Domestic Swine Disease Monitoring Report Now Available

March 4, 2021 — 

The Swine Health Information Center's (SHIC) March Domestic Swine Disease Monitoring Report is available. This month's Domestic Swine Disease Monitoring Report shows that porcine reproductive and respiratory syndrome (PRRS) virus detection was similar to January 2021, with a small decrease in positivity in sow herds, but increase in wean-to-market animals. PRRSV RFLP 1-4-4 Lineage 1C variant continues to be associated with severe clinical signs, especially in grow-finish sites. There was a moderate increase in detection for porcine deltacoronavirus (PDCoV) in wean-to-market animals. That increase was regional. There was a moderate decrease in Mycoplasma hyopneumoniae. At a state level, PRRS virus detection was three standard deviations above expected in Nebraska, Ohio, and Indiana; and PDCoV was three standard deviations above expected in Kansas, Oklahoma, and North Carolina. The SDRS hosts talk with Dr. Cesar Corzo (Morrison Swine Health Monitoring Project) about his observations on recent pathogen activity in the US swine herd.

View the full report dashboards and listen to podcasts in the online portal. No login required.

What is the Swine Disease Reporting System (SDRS)?

SHIC-funded, veterinary diagnostic laboratories (VDLs) collaborative project, with goal to aggregate swine diagnostic data from participating reporting VDLs, and report in an intuitive format (web dashboards), describing dynamics of disease detection by pathogen or disease syndrome over time, specimen, age group, and geographical space. For this report, data is from the Iowa State University VDL and South Dakota State University ADRDL. University of Minnesota VDL and Kansas State University VDL. Specifically, for PRRSV RFLP data, and syndromic information the results are from Iowa State University VDL. For all "2019 predictive graphs," the expected value was calculated using a statistical model that considers the results from three previous years. The intent of the model is not to compare the recent data (2019) to individual weeks of previous years. The intent is to estimate expected levels of percent positive cases based on patterns observed in the past data, and define if observed percentage positive values are above or below the expected based on historic trends.