Swine Disease Reporting: Report #12

dc.contributor.author Trevisan, Giovani
dc.contributor.author Linhares, Daniel
dc.contributor.author Linhares, Daniel
dc.contributor.author Linhares, Leticia
dc.contributor.author Crim, Bret
dc.contributor.author Dubey, Poonam
dc.contributor.author Schwartz, Kent
dc.contributor.author Burrough, Eric
dc.contributor.author Main, Rodger
dc.contributor.author Thurn, Mary
dc.contributor.author Lages, Paulo
dc.contributor.author Corzo, Cesar
dc.contributor.author Torrison, Jerry
dc.contributor.author McGaughey, Rob
dc.contributor.author Henningson, Jamie
dc.contributor.author Herrman, Eric
dc.contributor.author Hanzlicek, Gregg
dc.contributor.author Raghavan, Ram
dc.contributor.author Marthaler, Douglas
dc.contributor.author Gupta, Shivali
dc.contributor.author Greseth, Jon
dc.contributor.author Clement, Travis
dc.contributor.author Hennings, Jane
dc.contributor.department College of Veterinary Medicine
dc.date 2020-04-02T16:48:25.000
dc.date.accessioned 2020-07-02T06:59:36Z
dc.date.available 2020-07-02T06:59:36Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2019
dc.date.embargo 2020-03-26
dc.date.issued 2019-02-06
dc.description.abstract <p>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 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.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/swinedisease_reports/2/
dc.identifier.articleid 1011
dc.identifier.contextkey 17127736
dc.identifier.doi https://doi.org/10.31274/swinedisease_reports-20210621-011
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath swinedisease_reports/2
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90971
dc.language.iso en
dc.relation.ispartofseries 12
dc.source.bitstream archive/lib.dr.iastate.edu/swinedisease_reports/2/SDRS_report___12.pdf|||Fri Jan 14 22:14:20 UTC 2022
dc.subject.disciplines Veterinary Preventive Medicine, Epidemiology, and Public Health
dc.title Swine Disease Reporting: Report #12
dc.type article
dc.type.genre report
dspace.entity.type Publication
relation.isAuthorOfPublication 3ce0db9e-1f42-4d29-b389-2364b3470254
relation.isOrgUnitOfPublication af6b08d0-b5fe-4e6d-9638-0a88304b26a4
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