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June Swine Disease Monitoring Report Now Available

The Swine Health Information Center’s (SHIC) June Domestic Swine Disease Monitoring Report shows PRRSV activity continues to remain in predicted values though the highest number of cases for 2019 were tested in May. PEDV and PDCoV detection by PCR were also within expected values in May with the highest number of cases for the year tested for each virus. Positive cases of TGEV continued to decline. The report notes the overall detection of MHP by PCR is within expected values though there was a substantial increase in positive cases among adult sows from April to May. Diagnoses of respiratory syndromes for spring this year compared to last is similar. There was a 28.47% increase in the number of enteric diagnoses for spring 2019 compared to last year. Details are included in the full report.

View the full report dashboards in the new 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.