February Domestic Swine Disease Monitoring Report Now Available
February 11, 2020 — Paul Sundberg
The Swine Health Information Center's (SHIC) February Domestic Swine Disease Monitoring Report is available. In the February report, we learn porcine reproductive and respiratory syndrome (PRRS) positive cases reported in January were down compared to December in all age groups and sample types. This data corresponds to the Morrison's Swine Health Monitoring Program which reports a relatively low PRRS incidence in sow farms compared to previous years. The overall percentage of porcine epidemic diarrhea virus (PEDV) RNA positive cases in January was slightly up from December with increased detection observed in cases from Minnesota and North Carolina. The overall percentage of porcine deltacorona virus (PDCoV) positive cases in January was slightly down from December. Both PEDV and PDCoV RNA positive cases are within forecasted levels for this time of year. The overall percentage of Mycoplasma hyopneumoniae positive cases in January was slightly up from December, mostly driven by samples with unknown information for age category.
View the full report dashboards and listed to podcasts 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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