March Domestic Swine Disease Monitoring Report Now Available

March 18, 2020 — 

The Swine Health Information Center's (SHIC) March Domestic Swine Disease Monitoring Report is available. In this month's report, the overall percentage of porcine reproductive and respiratory syndrome (PRRS)-positive cases in February were down from January in all age groups and sample types. It was noted genetic variability of PRRSV is still increasing. Porcine epidemic diarrhea virus (PEDV) RNA-positive cases in February were up from January in Iowa, Illinois, and Minnesota. The overall percentage of porcine deltacorona virus (PDCoV)-positive cases was down from January. Both PEDV and PDCoV positive cases are within forecasted levels for this time of year. Mycoplasma hyopneumoniae (MHP)-positive cases in February were down from January in all age categories. MHP detection also followed the expected predicted decrease for this period of the year.

View the full report dashboards and listed 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.