January Domestic Swine Disease Monitoring Report Now Available

January 6, 2021 — 

The Swine Health Information Center's (SHIC) January Domestic Swine Disease Monitoring Report is available. This month's Domestic Swine Disease Monitoring Report shows that porcine reproductive and respiratory syndrome virus (PRRSV) detection was on the upper boundaries of the forecasted model at the end of November and beginning of December. There was a moderate increase in detection for porcine epidemic diarrhea virus (PEDV) in adult/sow farms, and porcine deltacoronavirus (PDCoV) in wean-to-market animals. Mycoplasma hyopneumoniae detection was similar to November. At a state level, PRRSV detection was three standard deviations above expected in Minnesota, Iowa, South Dakota, Nebraska, Missouri, and Indiana, PEDV in Illinois, PDCoV in Oklahoma and Illinois. The SDRS hosts talk with Dr. Deb Murray (New Fashion Pork) about her experiences using and applying veterinary diagnostic data for disease management and control in this month's podcast.

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.