메뉴 건너뛰기




Volumn 110, Issue 1, 2013, Pages 4-11

Graphical models and Bayesian domains in risk modelling: Application in microbiological risk assessment

Author keywords

Bayesian graphical models; Quantitative microbiological risk assessment

Indexed keywords

ANIMAL; ANIMAL SALMONELLOSIS; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; COMPARATIVE STUDY; FOOD CONTROL; ISOLATION AND PURIFICATION; METHODOLOGY; MICROBIOLOGY; MONTE CARLO METHOD; RISK ASSESSMENT; SALMONELLA; SWINE; SWINE DISEASE;

EID: 84876701706     PISSN: 01675877     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.prevetmed.2013.02.008     Document Type: Article
Times cited : (15)

References (31)
  • 1
    • 67349215108 scopus 로고    scopus 로고
    • An introduction to biotracing in food chain systems
    • Barker G., Gomez N., Smid J. An introduction to biotracing in food chain systems. Trends Food Sci. Technol. 2009, 20:220-226.
    • (2009) Trends Food Sci. Technol. , vol.20 , pp. 220-226
    • Barker, G.1    Gomez, N.2    Smid, J.3
  • 2
    • 84873100776 scopus 로고    scopus 로고
    • A risk-assessment model for enterotoxigenic Staphylococcus aureus in pasteurized milk: a potential route to source-level inference
    • Barker G., Gomez-Tome N. A risk-assessment model for enterotoxigenic Staphylococcus aureus in pasteurized milk: a potential route to source-level inference. Risk Anal. 2011, 33:249-269.
    • (2011) Risk Anal. , vol.33 , pp. 249-269
    • Barker, G.1    Gomez-Tome, N.2
  • 3
    • 84876743734 scopus 로고    scopus 로고
    • rriskBayes: Predefined Bayes Models Fitted with Markov Chain Monte Carlo (MCMC) (related to the 'rrisk' project). R Package Version 2.3.
    • Belgorodski, N., Greiner, M., Engelhardt, A., 2012. rriskBayes: Predefined Bayes Models Fitted with Markov Chain Monte Carlo (MCMC) (related to the 'rrisk' project). R Package Version 2.3. http://www.bfr.bund.de/cd/52158.
    • (2012)
    • Belgorodski, N.1    Greiner, M.2    Engelhardt, A.3
  • 4
    • 84876696502 scopus 로고    scopus 로고
    • rriskDistributions: Fitting Distributions to Given Data or Known Quantiles. R Package Version 1.8
    • Belgorodski, N., Greiner, M., Tolksdorf, K., Schueller, K., 2012. rriskDistributions: Fitting Distributions to Given Data or Known Quantiles. R Package Version 1.8. http://www.bfr.bund.de/cd/52158.
    • (2012)
    • Belgorodski, N.1    Greiner, M.2    Tolksdorf, K.3    Schueller, K.4
  • 5
    • 75849154755 scopus 로고    scopus 로고
    • Ergebnisse, Schlussfolgerungen und Empfehlungen aus zwei Ringversuchen zum Nachweis und zur Isolierung von Shiga (Vero) Toxin bildenden Escherichia coli (STEC) aus Hackfleischproben
    • Beutin L., Martin A., Krause G., Steege K., Haby S., Pries K., Albrecht N., Miko A., Jahn S. Ergebnisse, Schlussfolgerungen und Empfehlungen aus zwei Ringversuchen zum Nachweis und zur Isolierung von Shiga (Vero) Toxin bildenden Escherichia coli (STEC) aus Hackfleischproben. J. Consum. Prot. Food Saf. 2010, 5:21-34.
    • (2010) J. Consum. Prot. Food Saf. , vol.5 , pp. 21-34
    • Beutin, L.1    Martin, A.2    Krause, G.3    Steege, K.4    Haby, S.5    Pries, K.6    Albrecht, N.7    Miko, A.8    Jahn, S.9
  • 6
    • 84876718574 scopus 로고    scopus 로고
    • Codex Alimentarius Commission (CAC), Principles and guidelines for the conduct of microbiological risk assessment, cac/gl-30. Tech. Rep., Codex Alimentarius Commission
    • Codex Alimentarius Commission (CAC), 1999. Principles and guidelines for the conduct of microbiological risk assessment, cac/gl-30. Tech. Rep., Codex Alimentarius Commission. http://www.codexalimentarius.net.
    • (1999)
  • 7
    • 0033816594 scopus 로고    scopus 로고
    • Procedures guide for structural expert judgement in accident consequence modelling
    • Cooke R., Goossens L. Procedures guide for structural expert judgement in accident consequence modelling. Radiat. Prot. Dosimetry 2000, 90:303-309.
    • (2000) Radiat. Prot. Dosimetry , vol.90 , pp. 303-309
    • Cooke, R.1    Goossens, L.2
  • 8
    • 0141567484 scopus 로고    scopus 로고
    • Properties of sensitivity analysis of Bayesian belief networks
    • Coupe V., van der Gaag L. Properties of sensitivity analysis of Bayesian belief networks. Ann. Math. Artif. Intel. 2002, 36:323-356.
    • (2002) Ann. Math. Artif. Intel. , vol.36 , pp. 323-356
    • Coupe, V.1    van der Gaag, L.2
  • 9
    • 54049092770 scopus 로고    scopus 로고
    • Quantitative risk assessment for Escherichia coli O157:H7 in frozen ground beef patties consumed by young children in French households
    • AFSSA STEC study group
    • Delignette-Muller M.L., Cornu M., AFSSA STEC study group Quantitative risk assessment for Escherichia coli O157:H7 in frozen ground beef patties consumed by young children in French households. Int. J. Food Microbiol. 2008, 128:158-164. 10.1016/j.ijfoodmicro.2008.05.040.
    • (2008) Int. J. Food Microbiol. , vol.128 , pp. 158-164
    • Delignette-Muller, M.L.1    Cornu, M.2
  • 10
    • 72249116698 scopus 로고    scopus 로고
    • Bayesian network for risk of diarrhea associated with the use of recycled water
    • Donald M., Cook A., Mengersen K. Bayesian network for risk of diarrhea associated with the use of recycled water. Risk Anal. 2009, 29:1672-1685.
    • (2009) Risk Anal. , vol.29 , pp. 1672-1685
    • Donald, M.1    Cook, A.2    Mengersen, K.3
  • 11
    • 84876729987 scopus 로고    scopus 로고
    • E. coli O157:H7 in beef-burgers produced in the Republic of Ireland: a quantitative microbial risk assessment. Tech. Rep., Ashtown Food Research Centre, Teagasc, Ashtown, Dublin 15, Ireland
    • Duffy, G., Butler, F., Cummins, E., et al., 2006. E. coli O157:H7 in beef-burgers produced in the Republic of Ireland: a quantitative microbial risk assessment. Tech. Rep., Ashtown Food Research Centre, Teagasc, Ashtown, Dublin 15, Ireland.
    • (2006)
    • Duffy, G.1    Butler, F.2    Cummins, E.3
  • 12
    • 84876714547 scopus 로고    scopus 로고
    • EFSA, Quantitative microbiological risk assessment on Salmonella in slaughter and breeder pigs: final report. Report Prepared by VLA in Consortium with DTU and RIVM
    • EFSA, 2010. Quantitative microbiological risk assessment on Salmonella in slaughter and breeder pigs: final report. Report Prepared by VLA in Consortium with DTU and RIVM.
    • (2010)
  • 15
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
    • Lauritzen S., Spiegelhalter D. Local computations with probabilities on graphical structures and their application to expert systems. J. R. Stat. Soc. 1988, 50:157-224.
    • (1988) J. R. Stat. Soc. , vol.50 , pp. 157-224
    • Lauritzen, S.1    Spiegelhalter, D.2
  • 16
    • 70449411807 scopus 로고    scopus 로고
    • The BUGS project: evolution, critique, and future directions
    • Lunn D., Spiegelhalter D., Thomas A., Best N. The BUGS project: evolution, critique, and future directions. Stat. Med. 2009, 28:3049-3067.
    • (2009) Stat. Med. , vol.28 , pp. 3049-3067
    • Lunn, D.1    Spiegelhalter, D.2    Thomas, A.3    Best, N.4
  • 17
    • 0034631445 scopus 로고    scopus 로고
    • Separation of uncertainty and variability in quantitative microbial risk assessment models
    • Nauta M. Separation of uncertainty and variability in quantitative microbial risk assessment models. Int. J. Food Microbiol. 2000, 57:9-18.
    • (2000) Int. J. Food Microbiol. , vol.57 , pp. 9-18
    • Nauta, M.1
  • 18
    • 35448952451 scopus 로고    scopus 로고
    • A risk assessment model for campylobacter in broiler meat
    • Nauta M.J., Jacobs-Reitsma W.F., Havelaar A.H. A risk assessment model for campylobacter in broiler meat. Risk Analysis 2007, 27:845-861. 10.1111/j. 1539-6924.2006.00834.x.
    • (2007) Risk Analysis , vol.27 , pp. 845-861
    • Nauta, M.J.1    Jacobs-Reitsma, W.F.2    Havelaar, A.H.3
  • 19
    • 33947726366 scopus 로고    scopus 로고
    • Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment
    • Pollino C., Woodberry O., Nicholson A., Korb K., Hart B. Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment. Environ. Model. Softw. 2007, 22:1140-1152.
    • (2007) Environ. Model. Softw. , vol.22 , pp. 1140-1152
    • Pollino, C.1    Woodberry, O.2    Nicholson, A.3    Korb, K.4    Hart, B.5
  • 20
    • 0037088890 scopus 로고    scopus 로고
    • Estimation of uncertainty and variability in bacterial growth using Bayesian inference. application to listeria monocytogenes
    • March
    • Pouillot R., Albert I., Cornu M., Denis J.B. Estimation of uncertainty and variability in bacterial growth using Bayesian inference. application to listeria monocytogenes. Int. J. Food Microbiol. 2003, 81(March (2)):87-104.
    • (2003) Int. J. Food Microbiol. , vol.81 , Issue.2 , pp. 87-104
    • Pouillot, R.1    Albert, I.2    Cornu, M.3    Denis, J.B.4
  • 22
    • 84877600243 scopus 로고    scopus 로고
    • Inferring an augmented Bayesian network to confront a complex quantitative microbial risk assessment model with durability studies: application to Bacillus cereus on a Courgette Purée production chain
    • Rigaux C., Ancelet S., Carlin F., Nguyen-Thé C., Albert I. Inferring an augmented Bayesian network to confront a complex quantitative microbial risk assessment model with durability studies: application to Bacillus cereus on a Courgette Purée production chain. Risk Anal. 2012, 10.1111/j. 1539-6924.2012.01888.x.
    • (2012) Risk Anal.
    • Rigaux, C.1    Ancelet, S.2    Carlin, F.3    Nguyen-Thé, C.4    Albert, I.5
  • 23
    • 0017885454 scopus 로고
    • Estimating prevalence from the results of a screening test
    • Rogan W., Gladen B. Estimating prevalence from the results of a screening test. Am. J. Epidemiol. 1978, 107:71-76.
    • (1978) Am. J. Epidemiol. , vol.107 , pp. 71-76
    • Rogan, W.1    Gladen, B.2
  • 24
    • 84856317848 scopus 로고    scopus 로고
    • A biotracing model of Salmonella in the pork production chain
    • Smid J.H., Heres L., Havelaar A.H., Pielaat A. A biotracing model of Salmonella in the pork production chain. J. Food Prot. 2012, 75:270-280. 10.4315/0362-028X.JFP-11-281.
    • (2012) J. Food Prot. , vol.75 , pp. 270-280
    • Smid, J.H.1    Heres, L.2    Havelaar, A.H.3    Pielaat, A.4
  • 25
    • 80053386109 scopus 로고    scopus 로고
    • A practical framework for the construction of a biotracing model: application to Salmonella in the pork slaughter chain
    • Smid J.H., Swart A.N., Havelaar A.H., Pielaat A. A practical framework for the construction of a biotracing model: application to Salmonella in the pork slaughter chain. Risk Anal. 2011, 31:1434-1450. 10.1111/j. 1539-6924.2011.01591.x.
    • (2011) Risk Anal. , vol.31 , pp. 1434-1450
    • Smid, J.H.1    Swart, A.N.2    Havelaar, A.H.3    Pielaat, A.4
  • 26
    • 77952639016 scopus 로고    scopus 로고
    • Strengths and weaknesses of Monte Carlo simulation models and Bayesian belief networks in microbial risk assessment
    • Smid J.H., Verloo D., Barker G.C., Havelaar A.H. Strengths and weaknesses of Monte Carlo simulation models and Bayesian belief networks in microbial risk assessment. Int. J. Food Microbiol. 2010, 139(Suppl. 1):S57-S63. 10.1016/j.ijfoodmicro.2009.12.015.
    • (2010) Int. J. Food Microbiol. , vol.139 , Issue.SUPPL. 1
    • Smid, J.H.1    Verloo, D.2    Barker, G.C.3    Havelaar, A.H.4
  • 27
    • 42149152052 scopus 로고    scopus 로고
    • Hierarchical dose response of E. coli o157:h7 from human outbreaks incorporating heterogeneity in exposure
    • Teunis P.F.M., Ogden I.D., Strachan N.J.C. Hierarchical dose response of E. coli o157:h7 from human outbreaks incorporating heterogeneity in exposure. Epidemiol. Infect. 2008, 136:761-770. 10.1017/S0950268807008771.
    • (2008) Epidemiol. Infect. , vol.136 , pp. 761-770
    • Teunis, P.F.M.1    Ogden, I.D.2    Strachan, N.J.C.3
  • 28
    • 18644368044 scopus 로고    scopus 로고
    • Combining quantitative and qualitative measures of uncertainty in model-based environmental assessment: the NUSAP system
    • Van der Sluijs J., Craye M., Funtowicz S., Kloprogge P., Ravetz J., Risbey J., Fermi V., Campus C. Combining quantitative and qualitative measures of uncertainty in model-based environmental assessment: the NUSAP system. Risk Anal. 2005, 25:481-492.
    • (2005) Risk Anal. , vol.25 , pp. 481-492
    • Van der Sluijs, J.1    Craye, M.2    Funtowicz, S.3    Kloprogge, P.4    Ravetz, J.5    Risbey, J.6    Fermi, V.7    Campus, C.8
  • 31
    • 78349264042 scopus 로고    scopus 로고
    • WHO, Tech. Rep., World health Organization (WHO)
    • WHO, 2009. Risk characterization of microbiological hazards in food. Tech. Rep., World health Organization (WHO). https://www.who.int/foodsafety/publications/micro/MRA17.pdf.
    • (2009) Risk characterization of microbiological hazards in food


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.