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...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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Faculty of Veterinary Medicine, Universiti Putra Malaysia
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/65031/ http://psasir.upm.edu.my/id/eprint/65031/1/PA-32.pdf |
| _version_ | 1848855171475439616 |
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| author | Premarathne, Jayasekara Mudiyanselage Krishanthi Jayarukshi Kumari Tang, John Yew Huat Basri, Dayang Fredalina Rukayadi, Yaya Nakaguchi, Yoshitsugu Nishibuchi, Mitsuaki Radu, Son |
| 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 |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T11:21:31Z |
| format | Conference or Workshop Item |
| id | upm-65031 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:21:31Z |
| publishDate | 2015 |
| publisher | Faculty of Veterinary Medicine, Universiti Putra Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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). |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/65031/ http://psasir.upm.edu.my/id/eprint/65031/1/PA-32.pdf |