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Dataset Information

Is scientific evidence enough? Using expert opinion to fill gaps in data in antimicrobial resistance research.


ABSTRACT:

Background

Antimicrobial Resistance (AMR) is a global problem with large health and economic consequences. Current gaps in quantitative data are a major limitation for creating models intended to simulate the drivers of AMR. As an intermediate step, expert knowledge and opinion could be utilized to fill gaps in knowledge for areas of the system where quantitative data does not yet exist or are hard to quantify. Therefore, the objective of this study was to identify quantifiable data about the current state of the factors that drive AMR and the strengths and directions of relationships between the factors from statements made by a group of experts from the One Health system that drives AMR development and transmission in a European context.

Methods

This study builds upon prev

SUBMITTER: Cousins M 

PROVIDER: S-EPMC10449168 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature