JRP3 RaDAR

RaDAR: Risk and Disease burden of Antimicrobial Resistance

#RADAR

Keywords

Antimicrobial resistance (AMR), risk assessment, transmission, disease burden, evidence synthesis

Project Abstract

The RaDAR project aims to generate consensus estimates for sources attribution, risks of exposure and disease burden of AMR by integrating available data from various sources.

Resistance mechanisms emerge and spread globally. Circulation of antibiotic resistant bacteria in food and the environment and the resulting exposure of human beings to these bacteria may be significant. In general, information on the overall exposure to AMR from food and the environment is scarce. Therefore efforts are needed to fill data gaps and systematically integrate data into consensus estimates for sources attribution, risks of exposure and disease burden.

The RaDAR project aims at filling these gaps with a multidisciplinary and cross-member-state approach by:

  1. Addressing the relative and absolute contribution of animal and environmental sources to the public health burden of AMR,
  2. Linking data on antimicrobial consumption and the effects of different kinds of antimicrobial use on AMR in animal husbandry,
  3. Modeling the spread of resistance determinants in microbial communities, the environment and along the food chain,
  4. Quantifying human exposure and disease burden.

The project will develop generic risk and transmission models that may be adapted to various bacterial species and resistance determinants. It will generate consensus estimates for sources attribution, risks of exposure and disease burden of AMR by integrating available data from various sources and will lead to a consolidation of the international cooperation with respect to the assessment of risks related to the complex AMR problem.

Project Domain

Antimicrobial Resistance

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Lead Contact

Eelco FRANZ (RIVM)

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