Neil Wilkins, Matteo Crotta, Pachka Hammami, Ilaria Di Bartolo, Stefan Widgren, Mathieu Andraud, Robin R L Simons
{"title":"猪场至消费猪戊型肝炎定量微生物风险评估。","authors":"Neil Wilkins, Matteo Crotta, Pachka Hammami, Ilaria Di Bartolo, Stefan Widgren, Mathieu Andraud, Robin R L Simons","doi":"10.1111/risa.70035","DOIUrl":null,"url":null,"abstract":"<p><p>Foodborne transmission appears to be a significant route for human hepatitis E virus (HEV) infection in Europe. We have developed a quantitative microbiological risk assessment (QMRA) for HEV infection due to consumption of three selected pork products (liver pâté, minced meat, and sliced liver), which models the steps from farm to human consumption in high detail, including within-farm transmission dynamics and microbiological processes such as cross contamination and thermal inactivation. Our model is unique in that it considers prevalence and viral load of two microbiological variables, HEV RNA and infectious HEV, expressing the latter in terms of the former through so-called \"adjustment factors\" where data are lacking. When the QMRA was parameterized for France and using infectious HEV, we found that sliced liver posed by far the highest risk of infection, with mean probability per portion <math> <semantics><mrow><mn>3.35</mn> <mo>×</mo> <msup><mn>10</mn> <mrow><mo>-</mo> <mn>4</mn></mrow> </msup> <mspace></mspace> <mrow><mo>[</mo> <mn>95</mn> <mo>%</mo> <mspace></mspace> <mtext>CI</mtext> <mspace></mspace> <mrow><mo>(</mo> <mn>3.28</mn> <mo>-</mo> <mn>3.42</mn> <mo>)</mo></mrow> <mo>×</mo> <msup><mn>10</mn> <mrow><mo>-</mo> <mn>4</mn></mrow> </msup> <mo>]</mo></mrow> </mrow> <annotation>$3.35\\times 10^{-4}\\,[95\\%\\ \\text{CI}\\ (3.28-3.42)\\times 10^{-4}]$</annotation></semantics> </math> , corresponding to <math> <semantics><mrow><mn>3447</mn> <mspace></mspace> <mo>(</mo> <mn>95</mn> <mo>%</mo> <mspace></mspace> <mtext>CI</mtext> <mspace></mspace> <mn>3372</mn> <mo>-</mo> <mn>3522</mn> <mo>)</mo></mrow> <annotation>$3447\\,(95\\%\\ \\text{CI}\\ 3372-3522)$</annotation></semantics> </math> human cases annually. For minced meat, the probability of infection was <math> <semantics><mrow><mn>3.68</mn> <mo>×</mo> <msup><mn>10</mn> <mrow><mo>-</mo> <mn>8</mn></mrow> </msup> <mspace></mspace> <mrow><mo>[</mo> <mn>95</mn> <mo>%</mo> <mspace></mspace> <mtext>CI</mtext> <mspace></mspace> <mrow><mo>(</mo> <mn>3.56</mn> <mo>-</mo> <mn>3.80</mn> <mo>)</mo></mrow> <mo>×</mo> <msup><mn>10</mn> <mrow><mo>-</mo> <mn>8</mn></mrow> </msup> <mo>]</mo></mrow> </mrow> <annotation>$3.68\\times 10^{-8}\\,[95\\%\\ \\text{CI}\\ (3.56-3.80)\\times 10^{-8}]$</annotation></semantics> </math> , with only <math> <semantics><mrow><mn>21</mn> <mspace></mspace> <mo>(</mo> <mn>95</mn> <mo>%</mo> <mspace></mspace> <mtext>CI</mtext> <mspace></mspace> <mn>20</mn> <mo>-</mo> <mn>21</mn> <mo>)</mo></mrow> <annotation>$21\\,(95\\%\\ \\text{CI}\\ 20-21)$</annotation></semantics> </math> human cases. While our model predicted appreciable levels of HEV RNA remaining in liver pâté at the point of consumption, the amount of infectious HEV and hence risk of infection was zero, emphasizing the importance of using the correct microbiological variable when assessing the risk to consumers. Owing to its highly mechanistic nature, our QMRA can be used in future work to assess the impact of control measures along the pork-supply chain at high resolution.</p>","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A farm-to-consumption quantitative microbiological risk assessment for hepatitis E in pigs.\",\"authors\":\"Neil Wilkins, Matteo Crotta, Pachka Hammami, Ilaria Di Bartolo, Stefan Widgren, Mathieu Andraud, Robin R L Simons\",\"doi\":\"10.1111/risa.70035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Foodborne transmission appears to be a significant route for human hepatitis E virus (HEV) infection in Europe. We have developed a quantitative microbiological risk assessment (QMRA) for HEV infection due to consumption of three selected pork products (liver pâté, minced meat, and sliced liver), which models the steps from farm to human consumption in high detail, including within-farm transmission dynamics and microbiological processes such as cross contamination and thermal inactivation. Our model is unique in that it considers prevalence and viral load of two microbiological variables, HEV RNA and infectious HEV, expressing the latter in terms of the former through so-called \\\"adjustment factors\\\" where data are lacking. When the QMRA was parameterized for France and using infectious HEV, we found that sliced liver posed by far the highest risk of infection, with mean probability per portion <math> <semantics><mrow><mn>3.35</mn> <mo>×</mo> <msup><mn>10</mn> <mrow><mo>-</mo> <mn>4</mn></mrow> </msup> <mspace></mspace> <mrow><mo>[</mo> <mn>95</mn> <mo>%</mo> <mspace></mspace> <mtext>CI</mtext> <mspace></mspace> <mrow><mo>(</mo> <mn>3.28</mn> <mo>-</mo> <mn>3.42</mn> <mo>)</mo></mrow> <mo>×</mo> <msup><mn>10</mn> <mrow><mo>-</mo> <mn>4</mn></mrow> </msup> <mo>]</mo></mrow> </mrow> <annotation>$3.35\\\\times 10^{-4}\\\\,[95\\\\%\\\\ \\\\text{CI}\\\\ (3.28-3.42)\\\\times 10^{-4}]$</annotation></semantics> </math> , corresponding to <math> <semantics><mrow><mn>3447</mn> <mspace></mspace> <mo>(</mo> <mn>95</mn> <mo>%</mo> <mspace></mspace> <mtext>CI</mtext> <mspace></mspace> <mn>3372</mn> <mo>-</mo> <mn>3522</mn> <mo>)</mo></mrow> <annotation>$3447\\\\,(95\\\\%\\\\ \\\\text{CI}\\\\ 3372-3522)$</annotation></semantics> </math> human cases annually. For minced meat, the probability of infection was <math> <semantics><mrow><mn>3.68</mn> <mo>×</mo> <msup><mn>10</mn> <mrow><mo>-</mo> <mn>8</mn></mrow> </msup> <mspace></mspace> <mrow><mo>[</mo> <mn>95</mn> <mo>%</mo> <mspace></mspace> <mtext>CI</mtext> <mspace></mspace> <mrow><mo>(</mo> <mn>3.56</mn> <mo>-</mo> <mn>3.80</mn> <mo>)</mo></mrow> <mo>×</mo> <msup><mn>10</mn> <mrow><mo>-</mo> <mn>8</mn></mrow> </msup> <mo>]</mo></mrow> </mrow> <annotation>$3.68\\\\times 10^{-8}\\\\,[95\\\\%\\\\ \\\\text{CI}\\\\ (3.56-3.80)\\\\times 10^{-8}]$</annotation></semantics> </math> , with only <math> <semantics><mrow><mn>21</mn> <mspace></mspace> <mo>(</mo> <mn>95</mn> <mo>%</mo> <mspace></mspace> <mtext>CI</mtext> <mspace></mspace> <mn>20</mn> <mo>-</mo> <mn>21</mn> <mo>)</mo></mrow> <annotation>$21\\\\,(95\\\\%\\\\ \\\\text{CI}\\\\ 20-21)$</annotation></semantics> </math> human cases. While our model predicted appreciable levels of HEV RNA remaining in liver pâté at the point of consumption, the amount of infectious HEV and hence risk of infection was zero, emphasizing the importance of using the correct microbiological variable when assessing the risk to consumers. Owing to its highly mechanistic nature, our QMRA can be used in future work to assess the impact of control measures along the pork-supply chain at high resolution.</p>\",\"PeriodicalId\":21472,\"journal\":{\"name\":\"Risk Analysis\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Risk Analysis\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/risa.70035\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Risk Analysis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/risa.70035","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
A farm-to-consumption quantitative microbiological risk assessment for hepatitis E in pigs.
Foodborne transmission appears to be a significant route for human hepatitis E virus (HEV) infection in Europe. We have developed a quantitative microbiological risk assessment (QMRA) for HEV infection due to consumption of three selected pork products (liver pâté, minced meat, and sliced liver), which models the steps from farm to human consumption in high detail, including within-farm transmission dynamics and microbiological processes such as cross contamination and thermal inactivation. Our model is unique in that it considers prevalence and viral load of two microbiological variables, HEV RNA and infectious HEV, expressing the latter in terms of the former through so-called "adjustment factors" where data are lacking. When the QMRA was parameterized for France and using infectious HEV, we found that sliced liver posed by far the highest risk of infection, with mean probability per portion , corresponding to human cases annually. For minced meat, the probability of infection was , with only human cases. While our model predicted appreciable levels of HEV RNA remaining in liver pâté at the point of consumption, the amount of infectious HEV and hence risk of infection was zero, emphasizing the importance of using the correct microbiological variable when assessing the risk to consumers. Owing to its highly mechanistic nature, our QMRA can be used in future work to assess the impact of control measures along the pork-supply chain at high resolution.
期刊介绍:
Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include:
• Human health and safety risks
• Microbial risks
• Engineering
• Mathematical modeling
• Risk characterization
• Risk communication
• Risk management and decision-making
• Risk perception, acceptability, and ethics
• Laws and regulatory policy
• Ecological risks.