bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: Feb. 8, 2024
Abstract Seafood misrepresentation, encompassing product adulteration, mislabelling, and substitution, among other fraudulent practices, has been rising globally over the past decade, greatly impacting both loss of important fish species behaviour human consumers alike. While much effort spent attempting to localise extent seafood mislabelling within supply chain, strong associations likely existing key players have prevented timely management swift action Canada USA in comparison European nations. To better address these shortcomings, herein frequentist Bayesian logistic Generalised Linear Models (GLMs) are developed R Stan for estimation, prediction classification Metro Vancouver, British Columbia, Canada. Obtained results based on odds ratios probabilities paint a grim picture consistent with general trends found studies. This work paves way rapidly assess current state knowledge surrounding fraud nationally global scale using established statistical methodology.
Language: Английский