September Domestic Swine Disease Monitoring Report Now Available

September 4, 2019 — 

The Swine Health Information Center's (SHIC) September Domestic Swine Disease Monitoring Report is available. During August, PRRSV activity was at the lower boundaries for the predicted value for 2019. Higher detection of PRRSV in wean-to-market pigs was reviewed by the Advisory Council with several potential causes identified. The level of detection of PEDV RNA during late August was slightly above the expected value for this period of the year. The Advisory Council saw two potential causes for the increase in detection of PEDV in the wean-to-market category. Detection of PDCoV RNA was within the expected values for August. There were no positive cases for TGEV over a total of 2,235 cases tested in August. There was a trend of increasing the level of detection of Mycoplasma hyopneumoniae DNA in all age categories in August. However, the increased detection for this period of the year is more accentuated for the age category adult/sow farms. In August, there was no disease diagnosis alert signals detected for the following monitored systems: nervous, urogenital, digestive, respiratory, systemic, musculoskeletal, and cardiovascular-blood-endocrine-immune. In other words, the number of cases having each disease diagnosis was within the expected based on historic data.

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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.