A5042577014- Zoonotic diseases and public health
- Animal Disease Management and Epidemiology
- Salmonella and Campylobacter epidemiology
- Identification and Quantification in Food
- Listeria monocytogenes in Food Safety
- Meat and Animal Product Quality
- Food Safety and Hygiene
- Public Health Policies and Education
- Scientific Computing and Data Management
- Probiotics and Fermented Foods
- Data-Driven Disease Surveillance
- Effects of Environmental Stressors on Livestock
- Bacillus and Francisella bacterial research
- Advanced Chemical Sensor Technologies
- Biomedical Text Mining and Ontologies
- Microbial Metabolic Engineering and Bioproduction
- Food Waste Reduction and Sustainability
- Yersinia bacterium, plague, ectoparasites research
- Fermentation and Sensory Analysis
- Advanced Data Processing Techniques
- Gut microbiota and health
- Data Quality and Management
- Biomedical and Engineering Education
- Oral microbiology and periodontitis research
- Cell Image Analysis Techniques
Federal Institute for Risk Assessment
2018-2022
Technical University of Denmark
2019
Food Research Institute
2014-2019
Bundesverband Freier Radios
2018
Collaboration across sectors, disciplines and countries is a key concept to achieve the overarching One Health (OH) objective for better human, animal environmental health. Differences in terminology interpretation of terms are still significant hurdle cross-sectoral information exchange collaboration within area OH including Surveillance (OHS). The development here described glossary collaborative effort three projects funded European Joint Programme (OHEJP). We describe infrastructure...
Food microbiology researchers, risk assessment agencies and food business operators rely heavily on the reuse of knowledge that is available as data, models tools. Unfortunately, such remains challenging, safety data sets, tools are usually only in platform-dependent or software-dependent formats rarely comply to Findability, Accessibility, Interoperability, Reusability principles. In recent years, Risk Assessment Modelling Knowledge Integration Platform (RAKIP) Initiative developed...
In the last decades a large number of models have been developed in quantitative microbial risk assessment (QMRA) and predictive microbiology (PM) domains. These were generated with different scripting languages (e.g. R, MATLAB), commercial tools @Risk) or even proprietary software FSSP, FDA-iRISK). The heterogeneity used to generate together lack harmonized model exchange format has made (re)-use existing simulation environments very difficult. adoption information called Food Safety...
In the last decades, mathematical models and model-based simulations became important elements not only in area of risk assessment concerning microbiological chemical hazards but also modelling biological phenomena general. Unfortunately, many developed are published non-standardized ways, which hinders efficient exchange, re-use continuous improvement within domain. The establishment guidelines for model annotation is an pre-condition to overcome these obstacles. Additionally,...
The transfer and re-use of existing food safety knowledge (ranging from experimental data, published mathematical models to risk assessment software code) is currently a major bottleneck in the area assessment. Such would be possible if curated, community-driven repositories exist, that provide models/modules machine-readable format. This project therefore aims at development necessary resources (standards, ontology-based controlled vocabularies, tools services) facilitating establishment...
The scope of this quantitative risk assessment model is to estimate the number salmonellosis cases per million servings table egg, as well probability illness when ingesting a random serving egg. describes potential egg contamination by Salmonella Enteritidis from farm fork according time/temperature storage conditions, consumption practices.
To facilitate cross-sector integration of surveillance data it is necessary to improve and harmonize the meta-information provided in reports. Cross-sector results sector-specific reports frequently difficult as with a focus on single sector often lack aspects relevant clarify context. Such reporting deficiencies reduce value One Health community. The Consensus Report Annotation Checklist (OH-CRAC), described this paper along potential application scenarios, was developed current practice...