Foodborne Pathogens and Epidemiology
The Research Group for Foodborne Pathogens and Epidemiology analyses and interprets data on antimicrobial- resistance and -consumption as well as foodborne pathogens. The group also conducts risk assessments and develops epidemiological models, monitoring/intervention strategies, and decision-making tools.
Approaches and methods
- Digital surveillance tools: automated data collection, image analysis, and reporting for real-time surveillance of AMR, AMU, and foodborne pathogens; including source attribution, AI-based meat inspection, and whole-genome sequencing (WGS).
- Quantitative epidemiology: modelling of test performance (latent class models), burden of disease (BoD), QMRA, regression, multilevel modelling, and machine learning; analysis and interpretation of data on zoonoses, infections, antibiotic use, and resistance.
- Risk assessment and decision support: evidence-based models for risk assessment, surveillance, and selection of interventions to enable data-driven decisions.
- One Health and sustainability: prevention of foodborne disease through One Health and interdisciplinary approaches; improved microbial control and utilisation of side streams in production.
- National programmes and advisory work: support for action programmes for salmonella and campylobacter in cattle, pigs, broilers, and the environment; advice to the Danish Veterinary and Food Administration on risks in both existing and new sustainable systems.
- Reporting and submissions: responsibility for the annual zoonoses report, contributions to DANMAP (AMR/AMU), and annual reporting to EFSA.
Collaborations and impact
Contact
Marianne Sandberg Senior Researcher, Head of Research Group Mobile: +45 40314954 marsan@food.dtu.dk