Quantitative Risk Assessment of <em>Listeria monocytogenes</em> in Foods
Listeriosis is a rare foodborne infection caused by Listeria monocytogenes, a 1–2 µm long bacillus that can multiply at low temperatures and in the presence of high salt concentrations, and results in 0.1 to 10 cases per million people per year according to the World Health Organization. This bacter...
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| Định dạng: | Online |
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| Ngôn ngữ: | Tiếng Anh |
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MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Những chủ đề: | |
| Truy cập trực tuyến: | ONIX_20260416T142754_9783725854677_19 |
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| _version_ | 1869530011793358848 |
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| collection | Directory of Open Access Books |
| description | Listeriosis is a rare foodborne infection caused by Listeria monocytogenes, a 1–2 µm long bacillus that can multiply at low temperatures and in the presence of high salt concentrations, and results in 0.1 to 10 cases per million people per year according to the World Health Organization. This bacterium is ubiquitous—it can be found in water, soil, plants, and many animals—and it has the ability to contaminate ready-to-eat foods and food production sites. It is sensitive to heat but can multiply slowly at low temperatures. Often occurring sporadically, its widespread propagation in a broad range of foods can cause epidemics. The scope of this Special Issue on ‘Quantitative Risk Assessment of Listeria monocytogenes in Foods’ is twofold: (1) we seek to present a critical analysis of the existing human listeriosis quantitative risk assessment models conducted on milk and dairy products, fresh produce, seafood, and meat products, highlighting common results from intervention strategies despite the unavoidable differences in model scopes and assumptions; (2) we also aim to present new quantitative risk assessment models encompassing a longer food chain scope, in the light of new data and approaches, to control listeriosis linked to specific foods such as frozen vegetables, cantaloupes, and ready-to-eat seafood. |
| format | Online |
| id | doab-20.500.12854ir-174814 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1748142026-04-16T16:34:52Z Quantitative Risk Assessment of <em>Listeria monocytogenes</em> in Foods Federighi, Michel Listeriosis Cantaloupe Produce Seafood Ready-to-eat Dose-response Simulation models Intervention strategies Risk Analysis thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Listeriosis is a rare foodborne infection caused by Listeria monocytogenes, a 1–2 µm long bacillus that can multiply at low temperatures and in the presence of high salt concentrations, and results in 0.1 to 10 cases per million people per year according to the World Health Organization. This bacterium is ubiquitous—it can be found in water, soil, plants, and many animals—and it has the ability to contaminate ready-to-eat foods and food production sites. It is sensitive to heat but can multiply slowly at low temperatures. Often occurring sporadically, its widespread propagation in a broad range of foods can cause epidemics. The scope of this Special Issue on ‘Quantitative Risk Assessment of Listeria monocytogenes in Foods’ is twofold: (1) we seek to present a critical analysis of the existing human listeriosis quantitative risk assessment models conducted on milk and dairy products, fresh produce, seafood, and meat products, highlighting common results from intervention strategies despite the unavoidable differences in model scopes and assumptions; (2) we also aim to present new quantitative risk assessment models encompassing a longer food chain scope, in the light of new data and approaches, to control listeriosis linked to specific foods such as frozen vegetables, cantaloupes, and ready-to-eat seafood. 2026-04-16T16:34:46Z 2026-04-16T16:34:46Z 2025 book ONIX_20260416T142754_9783725854677_19 9783725854677 9783725854684 https://directory.doabooks.org/handle/20.500.12854/174814 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11693 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5468-4 10.3390/books978-3-7258-5468-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725854677 9783725854684 216 CH open access |
| spellingShingle | Listeriosis Cantaloupe Produce Seafood Ready-to-eat Dose-response Simulation models Intervention strategies Risk Analysis thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Quantitative Risk Assessment of <em>Listeria monocytogenes</em> in Foods |
| title | Quantitative Risk Assessment of <em>Listeria monocytogenes</em> in Foods |
| title_full | Quantitative Risk Assessment of <em>Listeria monocytogenes</em> in Foods |
| title_fullStr | Quantitative Risk Assessment of <em>Listeria monocytogenes</em> in Foods |
| title_full_unstemmed | Quantitative Risk Assessment of <em>Listeria monocytogenes</em> in Foods |
| title_short | Quantitative Risk Assessment of <em>Listeria monocytogenes</em> in Foods |
| title_sort | quantitative risk assessment of em listeria monocytogenes em in foods |
| topic | Listeriosis Cantaloupe Produce Seafood Ready-to-eat Dose-response Simulation models Intervention strategies Risk Analysis thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| topic_facet | Listeriosis Cantaloupe Produce Seafood Ready-to-eat Dose-response Simulation models Intervention strategies Risk Analysis thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| url | ONIX_20260416T142754_9783725854677_19 |