SHIC-funded, veterinary diagnostic laboratories (VDLs) collaborative project, with goal to aggregate swine diagnostic data from participating VDLs, and report in an intuitive format (monthly report, and 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 the ISU-VDL. For all “2019 predictive graphs”, the expected value was calculated using a statistical model that considers the results from 3 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.
Iowa State University
Trevisan, Giovani; Linhares, Daniel; Magalhaes, Edison; Linhares, Leticia; Crim, Bret; Dubey, Poonam; Schwartz, Kent; Burrough, Eric; Main, Rodger; Thurn, Mary; Lages, Paulo; Corzo, Cesar; Torrison, Jerry; McGaughey, Rob; Henningson, Jamie; Herman, Eric; Hanzlicek, Gregg; Raghavan, Ram; Marthaler, Douglas; Gupta, Shivali; Greseth, Jon; Clement, Travis; and Hennings, Jane C., "Swine Disease Reporting: Report #17" (2019). Swine Disease Reporting System. 17.