Back to search

Article

Diagnostic test accuracy study for the detection of bovine genital campylobacteriosis of preputial scrapings from beef bulls, in Uruguay: A Bayesian latent class model approach

2021-08-10

Abstract excerpt

<title>Abstract</title> <p>The sensitivity (Se) and specificity (Sp) of three diagnostic tests for the detection of <italic>Campylobacter fetus venerealis</italic> (Cfv) using field samples were estimated using a Bayesian latent class model (BLCM), accounting for the absence of a gold standard. The tests were direct immunofluorescence antibody test (IFAT), polymerase chain reaction (PCR), and real-time PCR (RT-PC...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6bc14f7a-5930-520b-a57b-28f828f5f170
DOI
10.21203/rs.3.rs-715967/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Diagnostic test accuracy study for the detection of bovine genital campylobacteriosis of preputial scrapings from beef bulls, in Uruguay: A Bayesian latent class model approachDOI 10.21203/rs.3.rs-715967/v1
Select a neighboring publication to make it the new centre.