Results 11 to 20 of about 12,136,030 (282)

Q4MRATools: Quantitative tools to microbial risk assessment

EFSA Journal
In the context of the European Food Risk Assessment (EU‐FORA) fellowship programme, the project ‘Q4MRATools: Quantitative Tools to Microbial Risk Assessment’ focused on training in predictive microbiology, experimental design and the use of advanced ...
Olga María Bonilla Luque, Antonio Valero, Arícia Possas, Styliani Roufou, Jefferson deOliveira Mallia, Vasilis Valdramidis   +5 more
doaj   +6 more sources

Quantitative microbial risk assessment of in jerky in Korea [PDF]

Asian-Australasian Journal of Animal Sciences, 2019
Objective The objective of this study was to estimate the risk of Campylobacter jejuni (C. jejuni) infection from various jerky products in Korea. Methods For the exposure assessment, the prevalence and predictive models of C. jejuni in the jerky and the
Jimyeong Ha, Heeyoung Lee, Sejeong Kim, Jeeyeon Lee, Soomin Lee, Yukyung Choi, Hyemin Oh, Yohan Yoon   +7 more
doaj   +5 more sources

Quantitative microbial risk assessment for Salmonella in eggs [PDF]

Food Modelling Journal, 2019
The scope of this quantitative risk assessment model is to estimate the number of salmonellosis cases per million servings of table egg, as well as the probability of illness when ingesting a random serving of table egg. The model describes the potential egg contamination bySalmonellaEnteritidis from farm to fork according to time/temperature storage ...
Desvignes, Virginie, Buschhardt, Tasja, Guillier, Laurent, Sanaa, Moez   +3 more
openaire   +3 more sources

Quantitative Microbial Risk Assessment for in Natural and Processed Cheeses [PDF]

Asian-Australasian Journal of Animal Sciences, 2016
This study evaluated the risk of Clostridium perfringens (C. perfringens) foodborne illness from natural and processed cheeses. Microbial risk assessment in this study was conducted according to four steps: hazard identification, hazard characterization,
Heeyoung Lee, Soomin Lee, Sejeong Kim, Jeeyeon Lee, Jimyeong Ha, Yohan Yoon   +5 more
doaj   +2 more sources

Research gaps and priorities for quantitative microbial risk assessment (QMRA). [PDF]

Risk Anal
AbstractThe coronavirus disease 2019 pandemic highlighted the need for more rapid and routine application of modeling approaches such as quantitative microbial risk assessment (QMRA) for protecting public health. QMRA is a transdisciplinary science dedicated to understanding, predicting, and mitigating infectious disease risks.
Hamilton KA, Ciol Harrison J, Mitchell J, Weir M, Verhougstraete M, Haas CN, Nejadhashemi AP, Libarkin J, Gim Aw T, Bibby K, Bivins A, Brown J, Dean K, Dunbar G, Eisenberg JNS, Emelko M, Gerrity D, Gurian PL, Hartnett E, Jahne M, Jones RM, Julian TR, Li H, Li Y, Gibson JM, Medema G, Meschke JS, Mraz A, Murphy H, Oryang D, Owusu-Ansah EDJ, Pasek E, Pradhan AK, Razzolini MTP, Ryan MO, Schoen M, Smeets PWMH, Soller J, Solo-Gabriele H, Williams C, Wilson AM, Zimmer-Faust A, Alja'fari J, Rose JB.   +43 more
europepmc   +6 more sources

Synergy between quantitative microbial source tracking (qMST) and quantitative microbial risk assessment (QMRA): A review and prospectus

Environment International, 2019
The use of microbial source tracking (MST) marker genes has grown in recent years due to the need to attribute point and non-point fecal contamination to specific sources.
Qian Zhang, Javier Gallard, Baolei Wu, Valerie J. Harwood, Michael J. Sadowsky, Kerry A. Hamilton, Warish Ahmed   +6 more
doaj   +3 more sources

‘Omics’ technologies in quantitative microbial risk assessment

Trends in Food Science & Technology, 2012
‘Omics’ tools are being developed at an ever increasing pace. Collectively, genome sequencing, genome-wide transcriptional analysis (transcriptomics), proteomics, metabolomics, flux analysis (‘fluxomics’) and other applications are captured under the term omics.
Brul, S., Basset, J., Cook, P., Kathariou, S., McClure, P., Jasti, P.R., Betts, R.   +6 more
openaire   +3 more sources

Hazard identification and risk assessment of the organic, inorganic and microbial contaminants in the surface water after the high magnitude of flood event

Environment International, 2021
The present work has been oriented to the qualitative and quantitative assessments of the aftermath effects of 2014 flood tragedy on the organic, inorganic and microbial contaminants in the floodwater, with a particular emphasis on their relative health ...
Kah Yee Lim, Keng Yuen Foo
doaj   +1 more source

Toward the next generation of quantitative microbial risk assessment

Frontiers in Science
Lee-Ann Jaykus
doaj   +2 more sources

Modelling urban sewer flooding and quantitative microbial risk assessment: A critical review

Journal of Flood Risk Management, 2022
Modelling urban inundation and its associated health implications is numerous in its many applications. Flood modelling research contains a broad wealth of material, and microbial risk assessment has gained more popularity over the last decade.
William Addison‐Atkinson, Albert S. Chen, Fayyaz A. Memon, Tsang‐Jung Chang   +3 more
doaj   +1 more source