A Bayesian Method for Exposure Prevalence Comparison During Foodborne Disease Outbreak Investigations.
Bayesian
foodborne
hypothesis test
outbreaks
Journal
Foodborne pathogens and disease
ISSN: 1556-7125
Titre abrégé: Foodborne Pathog Dis
Pays: United States
ID NLM: 101120121
Informations de publication
Date de publication:
09 2023
09 2023
Historique:
medline:
8
9
2023
pubmed:
14
8
2023
entrez:
14
8
2023
Statut:
ppublish
Résumé
CDC and health departments investigate foodborne disease outbreaks to identify a source. To generate and test hypotheses about vehicles, investigators typically compare exposure prevalence among case-patients with the general population using a one-sample binomial test. We propose a Bayesian alternative that also accounts for uncertainty in the estimate of exposure prevalence in the reference population. We compared exposure prevalence in a 2020 outbreak of
Identifiants
pubmed: 37578455
doi: 10.1089/fpd.2023.0059
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM