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Quantitative modeling for risk assessment of Vibrio parahaemolyticus in bloody clams in southern Thailand
Yamamoto, A.; Iwahori, J.; Vuddhakul, V.; Charernjiratragul, W.; Vose, D.; Osaka, K.; Shigematsu, M.; Toyofuku, H.; Yamamoto, S.; Nishibuchi, M.; Kasuga, F. (2008). Quantitative modeling for risk assessment of Vibrio parahaemolyticus in bloody clams in southern Thailand. Intern. J. Food Microbiol. 124(1): 70-78. https://dx.doi.org/10.1016/j.ijfoodmicro.2008.02.021
In: International Journal of Food Microbiology. Elsevier: Amsterdam. ISSN 0168-1605; e-ISSN 1879-3460, more
Peer reviewed article  

Available in  Authors 

Keywords
    Anadara granosa (Linnaeus, 1758) [WoRMS]; Vibrio parahaemolyticus (Fujino, Okuno, Nakada, Aoyama, Fukai, Mukai & Ueho, 1951) Sakazaki, Iwanami & Fukumi, 1963 [WoRMS]
    Marine/Coastal
Author keywords
    quantitative microbiological risk assessment; Vibrio parahaemolyticus;bloody clams; Bayesian method; international cooperation

Authors  Top 
  • Yamamoto, A.
  • Iwahori, J.
  • Vuddhakul, V.
  • Charernjiratragul, W.
  • Vose, D.
  • Osaka, K.
  • Shigematsu, M.
  • Toyofuku, H.
  • Yamamoto, S.
  • Nishibuchi, M.
  • Kasuga, F.

Abstract
    A risk assessment of Vibrio parahaemolyticus in bloody clams (Anadara granosa) consumed in southern Thailand was conducted. This study estimated the prevalence and concentration of pathogenic V. parahaemolyticus in bloody clams at harvest and retail stages; and during this process, methods to detect the total and pathogenic V. parahaemolyticus were investigated. Consumption of bloody clams and cooking efficiency were studied using interviews and onsite observation of consumers. A beta-Poisson dose–response model was used to estimate probability of illness applying estimation methods for the most likely parameter values presented by USFDA. Microbial and behavioral data were analyzed by developing a stochastic model and the simulation gave a mean number of times a person would get ill with V. parahaemolyticus by consuming bloody clams at 5.6 × 10- 4/person/year. Sensitivity analysis demonstrated the fraction of people who did not boil the clams properly was the primary factor in increasing risk. This study serves as an example of how a microbiological risk assessment with limited data collection and international cooperation leads to valuable local insight.

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