Modeling the accuracy of a novel PCR and antibody ELISA for African swine fever virus detection using Bayesian latent class analysis

Modeling the accuracy of a novel PCR and antibody ELISA for African swine fever virus detection using Bayesian latent class analysis

IntroductionDiagnostic test evaluation for African swine fever (ASF) in field settings like Vietnam is critical to understanding test application in intended populations for surveillance and control strategies. Bayesian latent class analysis (BLCA) uses the results of multiple imperfect tests applie...

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Bibliographic Details
Main Authors: Rachel Schambow, Luis G. Giménez-Lirola, Vu Duc Hanh, Lai Thi Lan Huong, Nguyen Thi Lan, Pham Hong Trang, Do Duc Luc, Ha Xuan Bo, Vo Dinh Chuong, Rolf Rauh, William Nelson, Juan Carlos Mora-Díaz, Albert Rovira, Marie R. Culhane, Andres M. Perez
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Veterinary Science
Subjects:
Bayesian latent class analysis
ELISA
PCR
African swine fever
diagnostic test
evaluation
Online Access:https://www.frontiersin.org/articles/10.3389/fvets.2023.1079918/full

Internet

https://www.frontiersin.org/articles/10.3389/fvets.2023.1079918/full

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