Evaluation of a Bayesian Belief Network tool for translating science and informing policy: the case of antibiotic misuse in Tanzania

Evaluation of a Bayesian Belief Network tool for translating science and informing policy: the case of antibiotic misuse in Tanzania

Introduction: Developing appropriate antimicrobial stewardship policies is complicated by the many contextual factors that influence antimicrobial misuse. Bayesian Belief Networks (BBNs) can model and visualise disparate data types, making them an engaging and accessible means of translating interdi...

Full description

Saved in:
Bibliographic Details
Main Authors: Miss Madeleine Clarkson, Dr Katherine L Keenan, Dr Edward Lavender, Prof Stephen E Mshana, Dr Martha F Mushi, Prof Matthew TG Holden, Dr V Anne Smith
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:International Journal of Infectious Diseases
Online Access:http://www.sciencedirect.com/science/article/pii/S120197122400657X
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items