Evaluation of nasal swab and nasal wipe for detection of Influenza A in swine using Bayesian latent class analysis.
Prev Vet Med
; 230: 106292, 2024 Sep.
Article
en En
| MEDLINE
| ID: mdl-39068789
ABSTRACT
Influenza A virus (IAV) is an important pathogen in Brazilian swine herds, and monitoring the viral circulation is essential to control and reduce the transmission. Surveillance programs for IAV are often based on individual piglets level sampling, making the evaluation of the available diagnostic tools crucial to assessing IAV circulation in herds. Thus, two sample collection methodologies were compared in pig herds in southern Brazil to detect IAV by RT-qPCR nasal swab (NS) and nasal wipe (NW). A Bayesian latent class model (BLCM) was set for two tests and two populations. The NW and NS used are more specific (higher than 95â¯% for both) than sensitive. The sensitivity for NW was lower than the NS, 84.14â¯% (70â¯% - 95â¯%; posterior probability interval (PPI) 95â¯%) and 87.15â¯% (73â¯% - 97â¯%; PPI 95â¯%), respectively, and the specificity was 95â¯% (90â¯% - 99â¯%; PPI 95â¯%) and 99â¯% (96â¯% - 100â¯%; PPI 95â¯%), respectively. Although the wipe sample collection loses both sensitivity and specificity compared with nasal swab, differences in test performance were very limited and PPIs largely overlapped. Therefore NW can also be considered a valuable tool. The decision about the use of both techniques should be based on the trade-off between their performance limitations and feasibility in routine monitoring.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Virus de la Influenza A
/
Enfermedades de los Porcinos
/
Teorema de Bayes
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Sensibilidad y Especificidad
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Infecciones por Orthomyxoviridae
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Análisis de Clases Latentes
Límite:
Animals
País/Región como asunto:
America do sul
/
Brasil
Idioma:
En
Revista:
Prev Vet Med
Año:
2024
Tipo del documento:
Article
Pais de publicación:
Países Bajos