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European Antibiotic Awareness Day (EAAD) 2022

November 18 is the European Antibiotic Awareness Day (EAAD). On that occasion, several activities promoting knowledge about antibiotics and antimicrobial resistance (AMR) will take place.

Illustrasjonsbilde antiobiotika

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This year marks 15th edition of EAAD, which you can read more about here: European Antibiotic Awareness Day (EAAD) 2022 (europa.eu)

On that occasion, several activities promoting knowledge about antibiotics and antimicrobial resistance (AMR) will take place. This includes, among others, launch of 5 videos on the top misconceptions around this topic, and digital events:

17 November, 11:00-12:00 CET - a press conference with the ECDC Director, Andrea Ammon and technical experts, releasing the latest data on AMR and antimicrobial consumption in the EU/EEA.

17 November, 13:00-16:00 CET - EAAD digital launch event on “preventing antimicrobial resistance together”. The event will give an overview of the current situation in the EU/EEA when it comes to policy, data and measures needed to continue addressing AMR. Register here for the digital launch event.

Research on antimicrobial resistance 

The topic of AMR is also very relevant for researchers at the UiB. In order to find solutions to this rapidly growing problem, the interdisciplinary centre called CAMRIA (Combatting Anti-Microbial Resistance with Interdisciplinary Approaches), and led by Professor Nina Langeland has been established. The centre is funded by the Trond Mohn Foundation and hosted by UiB’s Faculty of Medicine with partners from the Haukeland University Hospital and Stavanger University Hospital. It kicked off in May 2022 with an intention to gather researchers from different fields to address the need to combat AMR. CAMRIA involves experts in clinical microbiology, microbial genomics, bioinformatics, mathematics, social sciences and clinical medicine, and finances 3 main projects aiming to respond to challenges in AMR research:

MARGINSurveillance and Metagenomic tracking of Antimicrobial Resistance Genes IN environmental and clinical samples using machine learning approaches

HyperEvol –   Learning and predicting the pathways of AMR evolution with hypercubic inference

Media and AMRRisk communication and perception of AMR in the public and among healthcare workers: Knowledge needed to develop new policies and interventions

You can visit CAMRIA’s website: https://camria.w.uib.no/ for more information on the topic of AMR and news from the centre.