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 (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=1.18×10−10, 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=7.64×10−8, 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=1.73×10−2, 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.