Campus Units
Veterinary Diagnostic and Production Animal Medicine
Document Type
Article
Publication Version
Published Version
Publication Date
10-16-2019
Journal or Book Title
PLoS ONE
Volume
14
Issue
10
First Page
e0223544
DOI
10.1371/journal.pone.0223544
Abstract
This project investigates the macroepidemiological aspects of porcine reproductive and respiratory syndrome virus (PRRSV) RNA detection by veterinary diagnostic laboratories (VDLs) for the period 2007 through 2018. Standardized submission data and PRRSV real-time reverse-transcriptase polymerase chain reaction (RT-qPCR) test results from porcine samples were retrieved from four VDLs representing 95% of all swine samples tested in NAHLN laboratories in the US. Anonymized data were retrieved and organized at the case level using SAS (SAS® Version 9.4, SAS® Institute, Inc., Cary, NC) with the use of PROC DATA, PROC MERGE, and PROC SQL scripts. The final aggregated and anonymized dataset comprised of 547,873 unique cases was uploaded to Power Business Intelligence—Power BI® (Microsoft Corporation, Redmond, Washington) to construct dynamic charts. The number of cases tested for PRRSV doubled from 2010 to 2018, with that increase mainly driven by samples typically used for monitoring purposes rather than diagnosis of disease. Apparent seasonal trends for the frequency of PRRSV detection were consistently observed with a higher percentage of positive cases occurring during fall or winter months and lower during summer months, perhaps due to increased testing associated with well-known seasonal occurrence of swine respiratory disease. PRRSV type 2, also known as North American genotype, accounted for 94.76% of all positive cases and was distributed across the US. PRRSV type 1, also known as European genotype, was geographically restricted and accounted for 2.15% of all positive cases. Co-detection of both strains accounted for 3.09% of the positive cases. Both oral fluid and processing fluid samples, had a rapid increase in the number of submissions soon after they were described in 2008 and 2017, respectively, suggesting rapid adoption of these specimens by the US swine industry for PRRSV monitoring in swine populations. As part of this project, a bio-informatics tool defined as Swine Disease Reporting System (SDRS) was developed. This tool has real-time capability to inform the US swine industry on the macroepidemiological aspects of PRRSV detection, and is easily adaptable for other analytes relevant to the swine industry.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Copyright Owner
Trevisan et al.
Copyright Date
2019
Language
en
File Format
application/pdf
Recommended Citation
Trevisan, Giovani; Linhares, Leticia C. M.; Crim, Bret; Dubey, Poonam; Schwartz, Kent J.; Burrough, Eric R.; Main, Rodger G.; Sundberg, Paul; Thurn, Mary; Lages, Paulo T. F.; Corzo, Cesar A.; Torrison, Jerry; Henningson, Jamie; Hermann, Eric; Hanzlicek, Gregg A.; Raghavan, Ram; Marthaler, Douglas; Greseth, Jon; Clement, Travis; Christopher-Hennings, Jane; and Linhares, Daniel C. L., "Macroepidemiological aspects of porcine reproductive and respiratory syndrome virus detection by major United States veterinary diagnostic laboratories over time, age group, and specimen" (2019). Veterinary Diagnostic and Production Animal Medicine Publications. 149.
https://lib.dr.iastate.edu/vdpam_pubs/149
Included in
Large or Food Animal and Equine Medicine Commons, Veterinary Preventive Medicine, Epidemiology, and Public Health Commons
Comments
This article is published as Trevisan, Giovani, Leticia C.M. Linhares, Bret Crim, Poonam Dubey, Kent J. Schwartz, Eric R. Burrough, Rodger G. Main, Paul Sundberg, Mary Thurn, Paulo T.F. Lages, Cesar A. Corzo, Jerry Torrison, Jamie Henningson, Eric Herrman, Gregg A. Hanzlicek, Ram Raghavan, Douglas Marthaler, Jon Greseth, Travis Clement, Jane Christopher-Hennings, and Daniel C.L. Linhares. "Macroepidemiological aspects of porcine reproductive and respiratory syndrome virus detection by major United States veterinary diagnostic laboratories over time, age group, and specimen." PLoS ONE 14, no. 10 (2019): e0223544. DOI: 10.1371/journal.pone.0223544. Posted with permission.