August Domestic Swine Disease Monitoring Report Now Available
August 6, 2019 —
The Swine Health Information Center's (SHIC) August Domestic Swine Disease Monitoring Report is available. During July, porcine reproductive and respiratory syndrome virus (PRRSv) activity was at the lower boundaries of the predicted value for 2019. Positive cases from the wean-to-market age group were at 28.75%, the lowest since July 2015. The percentage of positive cases coming from the adult/sow category was at the lowest level of detection for the year of 2019 at 17.68%. The level of detection of porcine epidemic diarrhea virus (PEDV) RNA, and of porcine deltacorona virus (PDCoV) RNA were both within the expected values for July, with decreased detection for all age categories. Even though the number of cases tested and the level of detection of Mycoplasma hyopneumoniae (MHP) DNA was within the expected value for July, there was an increased detection observed in the last four weeks from all age categories, as expected based on historical data for this time of the year. Additionally, the July report contains information on redesigned dashboards for the Domestic Swine Disease Monitoring 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.
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