Author:
Mader Rodolphe,Muñoz Madero Cristina,Aasmäe Birgit,Bourély Clémence,Broens Els M.,Busani Luca,Callens Bénédicte,Collineau Lucie,Crespo-Robledo Paloma,Damborg Peter,Filippitzi Maria-Eleni,Fitzgerald William,Heuvelink Annet,van Hout Jobke,Kaspar Heike,Norström Madelaine,Pedersen Karl,Pohjanvirta Tarja,Pokludova Lucie,Dal Pozzo Fabiana,Slowey Rosemarie,Teixeira Justo Cristiana,Urdahl Anne Margrete,Vatopoulos Alkiviadis,Zafeiridis Christos,Madec Jean-Yves,Amat Jean-Philippe
Abstract
The monitoring of antimicrobial resistance (AMR) in bacterial pathogens of animals is not currently coordinated at European level. To fill this gap, experts of the European Union Joint Action on Antimicrobial Resistance and Healthcare Associated Infections (EU-JAMRAI) recommended building the European Antimicrobial Resistance Surveillance network in Veterinary medicine (EARS-Vet). In this study, we (i) identified national monitoring systems for AMR in bacterial pathogens of animals (both companion and food-producing) among 27 countries affiliated to EU-JAMRAI, (ii) described their structures and operations, and (iii) analyzed their respective strengths, weaknesses, opportunities and threats (SWOT). Twelve countries reported having at least one national monitoring system in place, representing an opportunity to launch EARS-Vet, but highlighting important gaps in AMR data generation in Europe. In total, 15 national monitoring systems from 11 countries were described and analyzed. They displayed diverse structures and operations, but most of them shared common weaknesses (e.g., data management and representativeness) and common threats (e.g., economic vulnerability and data access), which could be addressed collectively under EARS-Vet. This work generated useful information to countries planning to build or improve their system, by learning from others’ experience. It also enabled to advance on a pragmatic harmonization strategy: EARS-Vet shall follow the European Committee on Antimicrobial Susceptibility Testing (EUCAST) standards, collect quantitative data and interpret AMR data using epidemiological cut-off values.
Subject
Microbiology (medical),Microbiology
Cited by
30 articles.
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