Swine Disease Reporting System: Report #3

Date
2018-05-01
Authors
Trevisan, Giovani
Linhares, Daniel
Linhares, Daniel
Linhares, Leticia
Crim, Bret
Dubey, Poonam
Schwartz, Kent
Main, Rodger
Thurn, Mary
Vanderwaal, Kimberly
Perez, Andres
Torrison, Jerry
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College of Veterinary Medicine
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College of Veterinary Medicine
Abstract

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, to help develop the template, data is from the Iowa State University VDL. Specifically, for PRRSV PCR results, there was a contribution from the University of Minnesota VDL. Other VDLs should be participating soon. For all “2018 predictive graphs”, the expected value was calculated using a statistical model that takes into account the results from 3 previous years. The intent of the model is not to compare the recent data (2018) 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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