Literature DB >> 10939266

Microbial risk assessment: dose-response relations and risk characterization.

R L Buchanan1, J L Smith, W Long.   

Abstract

Characterizations of the risks associated with foodborne pathogens are dependent on the availability of information on the population's exposure to the biological agents. However, by itself, exposure data are insufficient to assess the public health impact of pathogenic microorganisms. This requires the availability of effective dose-response models. Successful development of models that describe dose-response relations for enteric pathogens is dependent on a sound understanding of the mechanisms of pathogenicity associated with individual pathogens. This includes knowledge of how the various pathogen, host, and food matrix factors influence pathogenicity. Currently, a group of sigmoidal mathematical equations are used to empirically describe dose-response relations. While these have proven to be highly useful, advances in microbial food safety risk assessment will likely require the development of mechanistic models that more effectively consider the range of factors that influence the frequency and severity of foodborne infections in a population.

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Year:  2000        PMID: 10939266     DOI: 10.1016/s0168-1605(00)00270-1

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  15 in total

1.  Modeling of pathogen survival during simulated gastric digestion.

Authors:  Shige Koseki; Yasuko Mizuno; Itaru Sotome
Journal:  Appl Environ Microbiol       Date:  2010-12-03       Impact factor: 4.792

Review 2.  Microbiological quantitative risk assessment and food safety: an update.

Authors:  V Giaccone; M Ferri
Journal:  Vet Res Commun       Date:  2005-08       Impact factor: 2.459

3.  Model of bacterial toxin-dependent pathogenesis explains infective dose.

Authors:  Joel Rybicki; Eva Kisdi; Jani V Anttila
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-02       Impact factor: 11.205

Review 4.  Predictive Modeling for Estimation of Bacterial Behavior from Farm to Table.

Authors:  Shigenobu Koseki
Journal:  Food Saf (Tokyo)       Date:  2016-06-17

Review 5.  The formation of Staphylococcus aureus enterotoxin in food environments and advances in risk assessment.

Authors:  Jenny Schelin; Nina Wallin-Carlquist; Marianne Thorup Cohn; Roland Lindqvist; Gary C Barker; Peter Rådström
Journal:  Virulence       Date:  2011-11-01       Impact factor: 5.882

6.  Prevalence of Antibiotics Resistant Listeria monocytogenes Strains in Nigerian 
Ready-to-eat Foods.

Authors:  Daniel O Ebakota; Onilude A Abiodun; Obayagbona O Nosa
Journal:  Food Saf (Tokyo)       Date:  2018-09-28

7.  Competitive growth kinetics of Campylobacter jejuni, Escherichia coli O157:H7 and Listeria monocytogenes with enteric microflora in a small-intestine model.

Authors:  Yuto Fuchisawa; Hiroki Abe; Kento Koyama; Shigenobu Koseki
Journal:  J Appl Microbiol       Date:  2021-09-23       Impact factor: 4.059

8.  Locally optimal designs for some binary dose-response models.

Authors:  Yi Zhai; Zhide Fang
Journal:  Can J Stat       Date:  2018-04-27       Impact factor: 0.875

9.  Multistate outbreak of listeriosis caused by imported cheese and evidence of cross-contamination of other cheeses, USA, 2012.

Authors:  K E Heiman; V B Garalde; M Gronostaj; K A Jackson; S Beam; L Joseph; A Saupe; E Ricotta; H Waechter; A Wellman; M Adams-Cameron; G Ray; A Fields; Y Chen; A Datta; L Burall; A Sabol; Z Kucerova; E Trees; M Metz; P Leblanc; S Lance; P M Griffin; R V Tauxe; B J Silk
Journal:  Epidemiol Infect       Date:  2015-06-30       Impact factor: 4.434

10.  The Key Events Dose-Response Framework: its potential for application to foodborne pathogenic microorganisms.

Authors:  Robert L Buchanan; Arie H Havelaar; Mary Alice Smith; Richard C Whiting; Elizabeth Julien
Journal:  Crit Rev Food Sci Nutr       Date:  2009-09       Impact factor: 11.176

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