October Domestic Swine Disease Monitoring Report Now Available
October 9, 2019 — Paul Sundberg
The Swine Health Information Center's (SHIC) October Domestic Swine Disease Monitoring Report is available. The percentage of positive porcine reproductive and respiratory syndrome (PRRS) cases from wean-to-market age category in September was at 35.52%, up slightly from August for the second consecutive month. There was also an increase in the total number of cases tested, 376 in September compared to 340 in August. Cooler nights during the end of August and during September have been pointed to by the advisory council as a contributing factor for the recent increase in detection of wean-to-market animals. The level of detection of porcine epidemic diarrhea virus (PEDV) RNA during September for the age category wean-to-market was at 12.98%, which was similar to August. The level of detection of PEDV during September in adult/sow farms is 5.24%, the historical lowest since PEDV entered the US. The level of detection of Mycoplasma hyopneumoniae in the age category of adult/sows was 32.5% in August, the highest monthly level of detection for this agent in this category during the last three years. Complete details are included in the full report as well as the new disease diagnosis tracking information.
View the full report dashboards 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.
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