ArticleJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc2020
Prediction of seasonal patterns of porcine reproductive and respiratory syndrome virus RNA detection in the U.S. swine industry.
Article in Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- EscaPRRS-ORF5: a structure-aware evolutionary framework for prioritizing immune escape-prone variants in porcine reproductive and respiratory syndrome virus.Bioinformatics (Oxford, England) · 2026Article
- Macroepidemiologic assessment of swine disease co-occurrences in the United States of America.Porcine health management · 2026Article
- Assessment of the Relationship Between Bioexclusion Practices Applied in Wean-to-Harvest Sites and PRRS Outbreaks.Veterinary sciences · 2025Article
- Measuring the impact of sow farm outbreaks with PRRS virus on the downstream mortality using causal inference methods.Frontiers in veterinary science · 2025Article
- Macroepidemiological trends of Influenza A virus detection through reverse transcription real-time polymerase chain reaction (RT-rtPCR) in porcine samples in the United States over the last 20 years.Frontiers in veterinary science · 2025Article
- Harnessing sequencing data for porcine reproductive and respiratory syndrome virus (PRRSV): tracking genetic evolution dynamics and emerging sequences in US swine industry.Frontiers in veterinary science · 2025Article
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- Predicting Potential PRRSV-2 Variant Emergence through Phylogenetic Inference.Transboundary and emerging diseases · 2024Article
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- Unveiling invisible farm-to-farm PRRSV-2 transmission links and routes through transmission tree and network analysis.Evolutionary applications · 2023Article
- Article
- Field Implementation of Forecasting Models for Predicting Nursery Mortality in a Midwestern US Swine Production System.Animals : an open access journal from MDPI · 2023Article
- Complete Coding Genome Sequence of a Novel Porcine Reproductive and Respiratory Syndrome Virus 2 Restriction Fragment Length Polymorphism 1-4-4 Lineage 1C Variant Identified in Iowa, USA.Microbiology resource announcements · 2021Article
- Visualization and application of disease diagnosis codes for population health management using porcine diseases as a model.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2021Article
- Data standardization implementation and applications within and among diagnostic laboratories: integrating and monitoring enteric coronaviruses.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2021Article
- Article
- Next Generation of Voluntary PRRS Virus Regional Control Programs.Frontiers in veterinary science · 2021Article
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Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We developed a model to predict the cyclic pattern of porcine reproductive and respiratory syndrome virus (PRRSV) RNA detection by reverse-transcription real-time PCR (RT-rtPCR) from 4 major swine-centric veterinary diagnostic laboratories (VDLs) in the United States and to use historical data to forecast the upcoming year's weekly percentage of positive submissions and issue outbreak signals when the pattern of detection was not as expected. Standardized submission data and test results were used. Historical data (2015-2017) composed of the weekly percentage of PCR-positive submissions were used to fit a cyclic robust regression model. The findings were used to forecast the expected weekly percentage of PCR-positive submissions, with a 95% confidence interval (CI), for 2018. During 2018, the proportion of PRRSV-positive submissions crossed 95% CI boundaries at week 2, 14-25, and 48. The relatively higher detection on week 2 and 48 were mostly from submissions containing samples from wean-to-market pigs, and for week 14-25 originated mostly from samples from adult/sow farms. There was a recurring yearly pattern of detection, wherein an increased proportion of PRRSV RNA detection in submissions originating from wean-to-finish farms was followed by increased detection in samples from adult/sow farms. Results from the model described herein confirm the seasonal cyclic pattern of PRRSV detection using test results consolidated from 4 VDLs. Wave crests occurred consistently during winter, and wave troughs occurred consistently during the summer months. Our model was able to correctly identify statistically significant outbreak signals in PRRSV RNA detection at 3 instances during 2018.
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