Modelling variation in test sensitivity for monitoring leptospirosis in beef cattle.
Bayesian
Diagnostic sensitivity and specificity
Leptospirosis
Mixture models
Prevalence distribution
Journal
Preventive veterinary medicine
ISSN: 1873-1716
Titre abrégé: Prev Vet Med
Pays: Netherlands
ID NLM: 8217463
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
01
08
2023
revised:
01
11
2023
accepted:
06
11
2023
pubmed:
18
11
2023
medline:
18
11
2023
entrez:
17
11
2023
Statut:
ppublish
Résumé
When Bayesian latent class analysis is used for diagnostic test data in the absence of a gold standard test, it is common to assume that any unknown test sensitivities and specificities are constant across different populations. Indeed this assumption is often necessary for model identifiability. However there are a number of practical situations, depending on the type of test and the nature of the disease, where this assumption may not be true. We present a case study of using a microscopic agglutination test to diagnose leptospiroris infection in beef cattle, which strongly suggests that sensitivity in particular varies among herds. We develop and fit an alternative model in which sensitivity is related to within-herd prevalence, and discuss the statistical and epidemiological implications.
Identifiants
pubmed: 37976969
pii: S0167-5877(23)00238-6
doi: 10.1016/j.prevetmed.2023.106074
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
106074Informations de copyright
Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest No conflicts of interest.