Cut Down Influenza A with Sequivity(R) IAV-S NA

May Swine Disease Monitoring Report Now Available

The Swine Health Information Center (SHIC) May Domestic Swine Disease Monitoring Report shows PRRSV activity remained within the predicted values for 2019 to date. The level of detection of PEDV by PCR was within expected values for April with a 3 percentage point drop in positive results from March to April this year. PDCoV detection level was above expected in mid-April and Monitoring Report advisors said some sow farms experiencing outbreaks had clinical signs of the virus. Streptoccoccus suis (S. suis) continues to be the major agent detected on CNS tissue, however, in March and April there were an increased number of Pestivirus, Porcine Sapelovirus, and salt intoxication detections on CNS tissue when compared to the same time frame in 2018 and 2017. There was also an increase in detection of the following respiratory insultants this spring compared to 2018: Haemophilus parasuis, Actinobacillus pleuropneumoniae, Pasteurella multocida, and Mycoplasma hyorhinis.

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.