July Domestic Swine Disease Monitoring Report Now Available

July 3, 2019 — 

In the Swine Health Information Center's (SHIC) July Domestic Swine Disease Monitoring Report, it is reported porcine reproductive and respiratory syndrome virus (PRRSV) activity remains within predicted values for 2019. There was a slight decrease in PRRSV diagnoses in wean-to-market pigs from May (37.81%) to June (36.52%), however, it increased to 44.53% during the first full week of June. This increase was mostly due to cases in North Carolina and Iowa. The percentage of positive cases in adult/sow animals decreased to 20.87% in June, the lowest level of detection for 2019 in this phase. The level of detection of enteric coronaviruses were within expected values in June with decreased diagnoses in all age categories. None of the 2288 cases tested for transmissible gastroenteritis virus in June were positive. The report also notes changes in recording and reporting of diagnostic codes at the Iowa State University Veterinary Diagnostic Lab so there are no enteric, respiratory, nor central nervous system results in this edition. The online dashboards will be updated once the new system is in place, which is expected in July 2019.

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.