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pro vyhledávání: '"Jurgen E. Chardon"'
Autor:
Eric G Evers, Annemarie Pielaat, Joost H Smid, Engeline van Duijkeren, Francy B C Vennemann, Lucas M Wijnands, Jurgen E Chardon
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0169589 (2017)
The presence of extended-spectrum β-lactamase (ESBL) and plasmidic AmpC (pAmpC) producing Escherichia coli (EEC) in food animals, especially broilers, has become a major public health concern. The aim of the present study was to quantify the EEC exp
Externí odkaz:
https://doaj.org/article/ccca6070bba744109c48ce0a857fb899
Publikováno v:
Food Control. 84:23-32
A methodology is presented to optimize a sampling plan for retail products to monitor the prevalence of foodborne pathogens in relation to disease burden. The optimization procedure links an exposure assessment, a quantitative measure for disease bur
Autor:
Jurgen E. Chardon, Evers Eg
Publikováno v:
Food Control. 73:1285-1297
We developed an improved simplified Quantitative Microbiological Risk Assessment (QMRA) model and tool with reduced data need, applicable to any pathogen - food product combination and in addition suitable for basic QMRA education. The swift QMRA (sQ
Autor:
L.M. Wijnands, J. H. Smid, Evers Eg, Annemarie Pielaat, Engeline van Duijkeren, Francy B. C. Vennemann, Jurgen E. Chardon
Publikováno v:
PLoS ONE
PLoS ONE, Vol 12, Iss 1, p e0169589 (2017)
PLoS ONE, Vol 12, Iss 1, p e0169589 (2017)
The presence of extended-spectrum β-lactamase (ESBL) and plasmidic AmpC (pAmpC) producing Escherichia coli (EEC) in food animals, especially broilers, has become a major public health concern. The aim of the present study was to quantify the EEC exp
Publikováno v:
Journal of food protection. 79(1)
Although quantitative studies have revealed that cross-contamination during the washing stage of fresh produce occurs, the importance of cross-contamination in terms of public health relevance has rarely been assessed. The direct distribution of init
Autor:
Jurgen E. Chardon, Eric G. Evers
Publikováno v:
Food Control. 21:319-330
Classical full-scale QMRA is a valuable method to assess the effects of control measures on the public health risk of a pathogen–food product combination. However, development of these QMRA models is time consuming, data needs are substantial and i