Diagnostic Sensitivity and Specificity for Bovine Respiratory Viruses from 760 Nasal Swabs

Statistical estimates for the diagnostic performance of qPCR and nanopore metagenomic sequencing tests on nasal swabs from 19 western Canadian feedlots. The data, published by Emmanuel Donbraye, compares sensitivity and specificity for five viruses associated with bovine respiratory disease using Bayesian latent class modeling. The supplementary file was last updated on March 17, 2026.

Use Cases

• Compare diagnostic test performance (qPCR vs. metagenomic sequencing) for bovine respiratory viruses based on the reported sensitivity and specificity estimates.
• Benchmark nanopore sequencing as a diagnostic tool for bovine respiratory disease based on the study's findings for three of six important viruses.
• Apply Bayesian latent class modeling techniques to diagnostic test evaluation in the absence of a gold standard, based on the methodology described.
• Analyze test performance differences for specific viruses like BCoV and BRSV based on the provided credible intervals.

Strengths

• Provides specific sensitivity and specificity estimates with 95% credible intervals for five viruses.
• Compares two modern diagnostic techniques (qPCR and nanopore metagenomic sequencing) on the same 760 nasal swab samples.
• Uses a robust statistical method (Bayesian latent class modeling) to estimate test performance without a gold standard.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Data scale is limited to 239.1 KB, suggesting a small, summary-level dataset rather than raw observations.

Provenance

Source

Emmanuel Donbraye via figshare.

Collection Method

Bayesian latent class modeling applied to qPCR and metagenomic sequencing results from nasal swabs.

Time Range

null

Freshness

Last updated 2026-03 17 13:07:31; freshness should be verified.

Geography

Samples collected from 19 western Canadian feedlots.