A Study on Dose-Response Models for Foodborne Disease Pathogens

Abstract

The dose-response models are important for the quantitative microbiological risk assessment(QMRA) because they would enable prediction of infection risk to humans from foodborne pathogens. In this study,we performed a comprehensive literature review and meta-analysis to better quantify this association. The meta-analysisapplied a final selection of 193 published papers for total 43 species foodborne disease pathogens (bacteria 26,virus 9, and parasite 8 species) which were identified and classified based on the dose-response models related toQMRA studies from PubMed, ScienceDirect database and internet websites during 1980-2012. The main search keywordsused the combination “food”, “foodborne disease pathogen”, “dose-response model”, and “quantitative microbiologicalrisk assessment”. The appropriate dose-response models for Campylobacter jejuni, pathogenic E. coliO157:H7 (EHEC / EPEC / ETEC), Listeria monocytogenes, Salmonella spp., Shigella spp., Staphylococcus aureus,Vibrio parahaemolyticus, Vibrio cholera, Rota virus, and Cryptosporidium pavum were beta-poisson (α = 0.15,β = 7.59, fi = 0.72), beta-poisson (α = 0.49, β = 1.81 × 105, fi = 0.67) / beta-poisson (α = 0.22, β = 8.70 × 103, fi =0.40) / beta-poisson (α = 0.18, β = 8.60 × 107, fi = 0.60), exponential (r = 1.18 × 1010, fi = 0.14), beta-poisson (α =0.11, β = 6,097, fi = 0.09), beta-poisson (α = 0.21, β = 1,120, fi = 0.15), exponential (r = 7.64 × 108, fi = 1.00), betapoisson(α = 0.17, β = 1.18 × 105, fi = 1.00), beta-poisson (α = 0.25, β = 16.2, fi = 0.57), exponential (r = 1.73 × 102,fi = 1.00), and exponential (r = 1.73 × 102, fi = 0.17), respectively. Therefore, these results provide the preliminarydata necessary for the development of foodborne pathogens QMRA.