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KMID : 0881720140290040299
Journal of Food Hygiene and Safety
2014 Volume.29 No. 4 p.299 ~ p.304
A Study on Dose-Response Models for Foodborne Disease Pathogens
Park Myoung-Su

Cho Joon-Il
Lee Soon-Ho
Bahk Gyung-Jin
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-analysis applied 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 to QMRA studies from PubMed, ScienceDirect database and internet websites during 1980-2012. The main search keywords used the combination ¡°food¡±, ¡°foodborne disease pathogen¡±, ¡°dose-response model¡±, and ¡°quantitative microbiological risk assessment¡±. The appropriate dose-response models for Campylobacter jejuni, pathogenic E. coli O157:H7 (EHEC / EPEC / ETEC), Listeria monocytogenes, Salmonella spp., Shigella spp., Staphylococcus aureus, Vibrio parahaemolyticus, Vibrio cholera, Rota virus, and Cryptosporidium pavum were beta-poisson (¥á = 0.15, ¥â = 7.59, fi = 0.72), beta-poisson (¥á = 0.49, ¥â = 1.81 ¡¿ 105
, fi = 0.67) / beta-poisson (¥á = 0.22, ¥â = 8.70 ¡¿ 103 , fi = 0.40) / beta-poisson (¥á = 0.18, ¥â = 8.60 ¡¿ 107, fi = 0.60), exponential (r = 1.18 ¡¿ 10?10, fi = 0.14), beta-poisson (¥á = 0.11, ¥â = 6,097, fi = 0.09), beta-poisson (¥á = 0.21, ¥â = 1,120, fi = 0.15), exponential (r = 7.64 ¡¿ 10?8, fi = 1.00), betapoisson (¥á = 0.17, ¥â = 1.18 ¡¿ 105, fi = 1.00), beta-poisson (¥á = 0.25, ¥â = 16.2, fi = 0.57), exponential (r = 1.73 ¡¿ 10?2, fi = 1.00), and exponential (r = 1.73 ¡¿ 10?2, fi = 0.17), respectively. Therefore, these results provide the preliminary data necessary for the development of foodborne pathogens QMRA.
KEYWORD
foodborne disease pathogen, quantitative microbiological risk assessment, meta-analysis, dose-response model
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