SDRS

SDRS aggregates and analyzes macroepidemiological RT-qPCR data on porcine reproductive and respiratory syndrome virus (PRRSV) from U.S. veterinary diagnostic laboratories to monitor detection trends, genotype distributions, seasonal patterns, and specimen-level changes.

Key Features:

• Data integration: Integrates standardized submission data and PRRSV real-time reverse-transcriptase PCR (RT-qPCR) results from veterinary diagnostic laboratories (VDLs) covering 95% of U.S. swine samples within the National Animal Health Laboratory Network (NAHLN) for 2007–2018.
• Case-level dataset: Produces an anonymized dataset comprising 547,873 unique cases.
• Data processing: Organizes and manages data using SAS software Version 9.4 with PROC DATA, PROC MERGE, and PROC SQL scripts.
• Visualization and reporting: Uploads processed data into Power BI to generate dynamic visualizations and enable real-time reporting.
• Temporal trend analysis: Identifies trends including a doubling of tested cases from 2010 to 2018 and seasonal increases in PRRSV detections during fall and winter months.
• Testing purpose classification: Distinguishes increases driven by monitoring versus diagnostic testing.
• Genotype tracking: Reports PRRSV genotype distributions with Type 2 (North American) at 94.76%, Type 1 (European) at 2.15%, and co-detections at 3.09% of positives.
• Specimen-type surveillance: Tracks specimen types and documents increased submissions of oral fluid and processing fluid following their adoption for PRRSV monitoring.
• Extensibility: Framework allows potential expansion to additional analytes relevant to swine health.

Scientific Applications:

• Macroepidemiological surveillance: Monitoring population-level PRRSV detection trends across the U.S. swine population.
• Seasonality analysis: Assessing seasonal patterns in PRRSV detections, particularly fall and winter increases.
• Genotype epidemiology: Quantifying and mapping Type 1, Type 2, and co-detection frequencies.
• Specimen-method evaluation: Evaluating adoption and impact of specimen types such as oral fluid and processing fluid for surveillance.
• Industry situational awareness: Providing near real-time reporting to inform swine health management and decision-making.
• Comparative analyte monitoring: Enabling potential extension of surveillance to other swine health analytes.

Methodology:

Standardized submission data and PRRSV RT-qPCR results (2007–2018) were organized at the case level and anonymized, processed with SAS 9.4 using PROC DATA, PROC MERGE, and PROC SQL to produce a 547,873-case dataset, which was uploaded into Power BI for dynamic visualizations.