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

INTRODUCTION: Diagnostic 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 appl...

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Detalles Bibliográficos
Autores principales: Schambow, Rachel, Giménez-Lirola, Luis G., Hanh, Vu Duc, Huong, Lai Thi Lan, Lan, Nguyen Thi, Trang, Pham Hong, Luc, Do Duc, Bo, Ha Xuan, Chuong, Vo Dinh, Rauh, Rolf, Nelson, William, Mora-Díaz, Juan Carlos, Rovira, Albert, Culhane, Marie R., Perez, Andres M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Veterinary Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995851/
https://www.ncbi.nlm.nih.gov/pubmed/36908521
http://dx.doi.org/10.3389/fvets.2023.1079918

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995851/
https://www.ncbi.nlm.nih.gov/pubmed/36908521
http://dx.doi.org/10.3389/fvets.2023.1079918

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