Category Research project
  • Mikrobiologie

Integrative modelling approaches forsource attribution and health impact assessment of antimicrobial resistance

Project status
Completed
Project start
Jan 2018
Project end
Dec 2020
Acronym
EJP RaDAR
Department
Biologische Sicherheit

Description and Objective

The aim of the project is to combine different approaches in risk assessment in order to better assess the significance of sources, risk factors and health consequences of antibiotic resistance. These findings can then be used to derive the most effective strategies for limiting transmission and its risks.

Result

Among the outcome from the project were the following with contributions from the BfRshort forGerman Federal Institute for Risk Assessment team:Provided an infrastructure for exchanging and annotating risk assessment models in an exchangeable and reproducible file format called FSK and key or desirable features that facilitate access and usability of the inventory. Produced state-of-the-art AMRshort forAntimicrobial resistance risk assessment models for different food chains in a generic framework. These generic methods may be more crude, but will allow for combining the risks in the different (sub-)categories and may thus help to create a more complete picture of the AMRshort forAntimicrobial resistance problems throughout. Produced a framework for the use of machine-learning methods in AMRshort forAntimicrobial resistance risk assessment in order to identify risk factors from high-dimensional data with more variables than data points and/or categorical features with many classes. Developed and applied a Bayesian Evidence Synthesis (BES) approach to integrate all available data and information by combining all relevant data with a priori knowledge and thereby eventually infer estimates on prevalence/incidence of AMRshort forAntimicrobial resistance infections / carriership.
Type of project

Third-party funded project

Research focus

Gesundheit von Mensch, Tier und Umwelt (One Health)

Organisational units and partners

Lead specialist group: Epidemiologie, Statistik und Expositionsmodellierung (33)
Contact persons: PDshort foroutside lecturer Dr. Christine Müller-Graf, Prof. Dr. Thomas Selhorst, Prof. Dr. Annemarie Käsbohrer
External partner: National Institute For Public Health and The Environment, Technische Universität Dänemark, Italian National Institute of Health, Animal & Plant Health Agency, Norwegian Veterinary Institute, French Agency for Food, Environmental and Occupational Health & Safety

Funding body and grant number

Europäische Union
Grant agreement 773830