Introducing the Predictive RISk Mapping of AMR in Ireland (PRISMA) project

Alexandre De Menezes, University of Galway, Galway, Ireland

09:35 - 09:45 Wednesday 06 November Morning

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Abstract

Antimicrobial resistance (AMR) poses a significant threat to human, animal, and environmental health. Antimicrobial misuse is often thought to be the main cause of AMR, but a variety of biological and non-biological factors can increase AMR risk in the environment. Bacteria and antimicrobials released into the environment by wastewater discharges, livestock excreta, and other sources are key drivers of AMR. In addition, heavy metals and geographic factors, including livestock populations, can affect the spread and persistence of AMR bacteria in the environment, thereby increasing the risk of AMR. For the effective development of AMR control measures, it is key to determine how AMR risk varies in the environment at local, regional and national scales. PRISMA’s overarching aim is to develop AMR risk maps that can subsequently be used to predict how this risk changes over time. Our first task is to identify relevant monitoring programmes, and research groups, public and private, that hold data on AMR drivers in Ireland. Subsequently, we will gather relevant data from research groups, public databases, and research articles and build a database containing AMR driver data linked to spatial coordinates and stratified based on the risk posed to AMR spread. These data will be used to develop “on demand” AMR risk maps for Ireland. A central component of the project is engagement with stakeholders in the agricultural, public health, AMR surveillance sectors and the research community, to identify knowledge gaps and ensure that PRISMA’s AMR risk maps provide tangible benefits to environmental AMR mitigation

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