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June Domestic Swine Disease Monitoring Report Now Available

The Swine Health Information Center's (SHIC) June Domestic Swine Disease Monitoring Report is available. In the June Domestic Swine Disease Monitoring Report, we learn the overall percentage of porcine reproductive and respiratory syndrome virus (PRRSV) positive cases in May was similar to the previous month. Wean-to-market cases were slightly up. Comparing January - April 2020 to the same four months of 2019, the number of PRRSV cases was up 6.49%. The overall percentage of porcine epidemic diarrhea virus (PEDV) RNA-positive cases in May was down compared to April, however, this was not the case for the adult/sow category where detection remained similar to the prior month. The overall percentage of porcine delta coronavirus (PDCoV) positive cases in May was down compared to April as well and within forecasted levels for this time of year. Mycoplasma hyopneumoniae (MHP) positive cases in May were within the forecasted levels, also.

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.