Quantitative risk assessment from farm to fork and beyond: A global Bayesian approach concerning food-borne diseases

Risk Analysis

Volumn 28, Issue 2, 2008, Pages 557-571

  Albert, Isabelle ^a   Grenier, Emmanuel ^b   Denis, Jean Baptiste ^c   Rousseau, Judith ^d  

^a Unité INRA Mét at risk   (France)

^b NEOMA BUSINESS SCHOOL   (France)

^c UR341 National Agronomical Research Institute (INRA)   (France)

^d UNIVERSITÉ PARIS DAUPHINE   (France)

Author keywords

Bayesian network; Bayesian statistics; Broiler; Campylobacteriosis; Food borne disease; Risk assessment

Indexed keywords

BACTERIA; BAYESIAN NETWORKS; COMPUTER SIMULATION; DISEASES; FOOD PRODUCTS;

BAYESIAN STATISTICS; BAYESIAN TECHNIQUES; CAMPYLOBACTERIOSIS; FOOD-BORNE DISEASE; QUANTITATIVE RISK ASSESSMENT;

RISK ASSESSMENT;

BACTERIAL DISEASE; BAYESIAN ANALYSIS; DISEASE INCIDENCE; FOOD CHAIN; FOOD POISONING; MONTE CARLO ANALYSIS; QUANTITATIVE ANALYSIS; RISK ASSESSMENT;

AGRICULTURAL WORKER; ARTICLE; BAYES THEOREM; CAMPYLOBACTER; FOOD CHAIN; FOOD CONTAMINATION; FOOD PROCESSING; FOOD SAFETY; GRAM NEGATIVE INFECTION; GUILLAIN BARRE SYNDROME; HUMAN; MONTE CARLO METHOD; RISK ASSESSMENT; SOCIOECONOMICS;

EID: 42249095080     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2008.01000.x     Document Type: Article

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