Development of a quantitative microbial risk assessment model for foodborne Campylobacter infection

Campylobacterspecies are one of the important foodborne pathogens in the world. Risk assessment is a scientific approach for estimating and evaluating potential adverse effects on human with resulting from exposure to hazards. A microbiological risk assessment was conducted to assess the health risk...

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主要な著者: Premarathne, Jayasekara Mudiyanselage Krishanthi Jayarukshi Kumari, Tang, John Yew Huat, Basri, Dayang Fredalina, Rukayadi, Yaya, Nakaguchi, Yoshitsugu, Nishibuchi, Mitsuaki, Radu, Son
フォーマット: Conference or Workshop Item
言語:English
出版事項: Faculty of Veterinary Medicine, Universiti Putra Malaysia 2015
オンライン・アクセス:http://psasir.upm.edu.my/id/eprint/65031/1/PA-32.pdf
http://psasir.upm.edu.my/id/eprint/65031/
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spelling my.upm.eprints.650312018-09-03T04:47:15Z http://psasir.upm.edu.my/id/eprint/65031/ Development of a quantitative microbial risk assessment model for foodborne Campylobacter infection Premarathne, Jayasekara Mudiyanselage Krishanthi Jayarukshi Kumari Tang, John Yew Huat Basri, Dayang Fredalina Rukayadi, Yaya Nakaguchi, Yoshitsugu Nishibuchi, Mitsuaki Radu, Son Campylobacterspecies are one of the important foodborne pathogens in the world. Risk assessment is a scientific approach for estimating and evaluating potential adverse effects on human with resulting from exposure to hazards. A microbiological risk assessment was conducted to assess the health risk associated with consumption of chicken meat contaminated with Campylobacter in Malaysia. The risk assessment model was developed based on the framework proposed by the Codex Alimentarius Commission with simulating the contamination of chicken with Campylobacter from retail to table continuum. Available published data was incorporated into the model for estimation of the associated risk. The risk assessment model was created using @RISK software. Monte Carlo assessment was used to calculate the risk of Campylobateriosis associated with the consumption of chicken. According to the simulation analysis, the probability of contamination of chicken with Campylobacter spp. was 82.29 %. The model predicted that risk of illness due to undercooked chicken was 94.40 per 100, 000 population per year. Findings of this study will aid to identify the appropriate effective risk mitigation strategies in eliminating Campylobacter from poultry. Faculty of Veterinary Medicine, Universiti Putra Malaysia 2015 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/65031/1/PA-32.pdf Premarathne, Jayasekara Mudiyanselage Krishanthi Jayarukshi Kumari and Tang, John Yew Huat and Basri, Dayang Fredalina and Rukayadi, Yaya and Nakaguchi, Yoshitsugu and Nishibuchi, Mitsuaki and Radu, Son (2015) Development of a quantitative microbial risk assessment model for foodborne Campylobacter infection. In: World Veterinary Poultry Association (Malaysia Branch) and World's Poultry Science Association (Malaysia Branch) Scientific Conference 2015, 21-22 Sept. 2015, Kuala Lumpur Convention Centre, Kuala Lumpur, Malaysia. (pp. 168-171).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Campylobacterspecies are one of the important foodborne pathogens in the world. Risk assessment is a scientific approach for estimating and evaluating potential adverse effects on human with resulting from exposure to hazards. A microbiological risk assessment was conducted to assess the health risk associated with consumption of chicken meat contaminated with Campylobacter in Malaysia. The risk assessment model was developed based on the framework proposed by the Codex Alimentarius Commission with simulating the contamination of chicken with Campylobacter from retail to table continuum. Available published data was incorporated into the model for estimation of the associated risk. The risk assessment model was created using @RISK software. Monte Carlo assessment was used to calculate the risk of Campylobateriosis associated with the consumption of chicken. According to the simulation analysis, the probability of contamination of chicken with Campylobacter spp. was 82.29 %. The model predicted that risk of illness due to undercooked chicken was 94.40 per 100, 000 population per year. Findings of this study will aid to identify the appropriate effective risk mitigation strategies in eliminating Campylobacter from poultry.
format Conference or Workshop Item
author Premarathne, Jayasekara Mudiyanselage Krishanthi Jayarukshi Kumari
Tang, John Yew Huat
Basri, Dayang Fredalina
Rukayadi, Yaya
Nakaguchi, Yoshitsugu
Nishibuchi, Mitsuaki
Radu, Son
spellingShingle Premarathne, Jayasekara Mudiyanselage Krishanthi Jayarukshi Kumari
Tang, John Yew Huat
Basri, Dayang Fredalina
Rukayadi, Yaya
Nakaguchi, Yoshitsugu
Nishibuchi, Mitsuaki
Radu, Son
Development of a quantitative microbial risk assessment model for foodborne Campylobacter infection
author_facet Premarathne, Jayasekara Mudiyanselage Krishanthi Jayarukshi Kumari
Tang, John Yew Huat
Basri, Dayang Fredalina
Rukayadi, Yaya
Nakaguchi, Yoshitsugu
Nishibuchi, Mitsuaki
Radu, Son
author_sort Premarathne, Jayasekara Mudiyanselage Krishanthi Jayarukshi Kumari
title Development of a quantitative microbial risk assessment model for foodborne Campylobacter infection
title_short Development of a quantitative microbial risk assessment model for foodborne Campylobacter infection
title_full Development of a quantitative microbial risk assessment model for foodborne Campylobacter infection
title_fullStr Development of a quantitative microbial risk assessment model for foodborne Campylobacter infection
title_full_unstemmed Development of a quantitative microbial risk assessment model for foodborne Campylobacter infection
title_sort development of a quantitative microbial risk assessment model for foodborne campylobacter infection
publisher Faculty of Veterinary Medicine, Universiti Putra Malaysia
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/65031/1/PA-32.pdf
http://psasir.upm.edu.my/id/eprint/65031/
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