Alessandro Foddai , Maarten Nauta , Johanne Ellis-Iversen
{"title":"使用跨部门数据整合过程的模型表明,减少屠宰时弯曲杆菌的交叉污染可有效降低人类弯曲杆菌病的风险","authors":"Alessandro Foddai , Maarten Nauta , Johanne Ellis-Iversen","doi":"10.1016/j.mran.2023.100248","DOIUrl":null,"url":null,"abstract":"<div><p>The risk of human campylobacteriosis due to Danish broiler flocks cross-contaminated (<em>CC</em>) at slaughter with <em>Campylobacter</em> spp. was assessed. National surveillance data (2018) on flock <em>Campylobacter</em> status (called animal level component (AL)) and on contamination of chilled carcasses ready for consumption (food safety component (FS)), were compared. The AL component consisted of PCR testing results on pools of cloacal swabs collected from 3,012 conventional flocks, while the FS component presented culture testing of leg skins from 999 (of the 3,012) randomly sampled flocks. Datasets were integrated on flocks tested in both components, by combinations of farm-ID, house-unit and sampling date. The <em>CC</em> flocks were those entering the slaughterhouse as AL-negative, but resulting FS-positive. All remaining carcass positive flocks were instead classified as <em>Non-CC</em> flocks. The apparent prevalence (AP) of carcass positive flocks and the colony forming units per gram (cfu/g), measured by the FS component, were fed into a published simulation model, to assess under three simulation scenarios: the mean monthly risk per serving during 2018, relative (RR) to that of 2013 (reference year in the current Danish Action Plan). In the baseline scenario, the original AL status and the FS cfu/g were maintained. In the alternative scenarios I and II, the FS cfu/g were set = 0 (i.e. negative) for the <em>Non-CC</em> and for the <em>CC</em> flocks, respectively. Thus, scenario I and the differences between the other two scenarios, provided the contribution of the <em>CC</em> flocks to the AP and to the RR. The (overall) annual median log10 cfu/g was ≈ 2.8 (min. = 1.0; max. = 4.0) for the <em>Non-CC</em> flocks and 1.4 (1.0; 3.9) for the <em>CC</em> flocks. The median monthly difference in AP, between the baseline scenario and scenario II was 7% (min = 2% in January; max = 19% in August), while the difference in risk was 0.04% (0.001%; 0.11%), which was similar to the mean monthly risk under scenario I. If cross-contamination had not occurred (scenario II), the annual AP would have reduced from 24.3% to 16.1% and the RR would have reduced from 0.92 to 0.77. Therefore, ≈16% of the public health risk posed by Danish conventional broiler meat, appeared attributable to <em>CC</em> flocks. Reducing cross-contamination could mitigate the risk of human campylobacteriosis notably. This study illustrates how inter-sectorial surveillance data integration, can be used to optimize National Action Plans against <em>Campylobacter</em> spp. and other similar foodborne pathogens.</p></div>","PeriodicalId":48593,"journal":{"name":"Microbial Risk Analysis","volume":"23 ","pages":"Article 100248"},"PeriodicalIF":3.0000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A model using an inter-sectorial data integration process indicates that reducing Campylobacter cross-contamination at slaughter mitigates the risk of human campylobacteriosis effectively\",\"authors\":\"Alessandro Foddai , Maarten Nauta , Johanne Ellis-Iversen\",\"doi\":\"10.1016/j.mran.2023.100248\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The risk of human campylobacteriosis due to Danish broiler flocks cross-contaminated (<em>CC</em>) at slaughter with <em>Campylobacter</em> spp. was assessed. National surveillance data (2018) on flock <em>Campylobacter</em> status (called animal level component (AL)) and on contamination of chilled carcasses ready for consumption (food safety component (FS)), were compared. The AL component consisted of PCR testing results on pools of cloacal swabs collected from 3,012 conventional flocks, while the FS component presented culture testing of leg skins from 999 (of the 3,012) randomly sampled flocks. Datasets were integrated on flocks tested in both components, by combinations of farm-ID, house-unit and sampling date. The <em>CC</em> flocks were those entering the slaughterhouse as AL-negative, but resulting FS-positive. All remaining carcass positive flocks were instead classified as <em>Non-CC</em> flocks. The apparent prevalence (AP) of carcass positive flocks and the colony forming units per gram (cfu/g), measured by the FS component, were fed into a published simulation model, to assess under three simulation scenarios: the mean monthly risk per serving during 2018, relative (RR) to that of 2013 (reference year in the current Danish Action Plan). In the baseline scenario, the original AL status and the FS cfu/g were maintained. In the alternative scenarios I and II, the FS cfu/g were set = 0 (i.e. negative) for the <em>Non-CC</em> and for the <em>CC</em> flocks, respectively. Thus, scenario I and the differences between the other two scenarios, provided the contribution of the <em>CC</em> flocks to the AP and to the RR. The (overall) annual median log10 cfu/g was ≈ 2.8 (min. = 1.0; max. = 4.0) for the <em>Non-CC</em> flocks and 1.4 (1.0; 3.9) for the <em>CC</em> flocks. The median monthly difference in AP, between the baseline scenario and scenario II was 7% (min = 2% in January; max = 19% in August), while the difference in risk was 0.04% (0.001%; 0.11%), which was similar to the mean monthly risk under scenario I. If cross-contamination had not occurred (scenario II), the annual AP would have reduced from 24.3% to 16.1% and the RR would have reduced from 0.92 to 0.77. Therefore, ≈16% of the public health risk posed by Danish conventional broiler meat, appeared attributable to <em>CC</em> flocks. Reducing cross-contamination could mitigate the risk of human campylobacteriosis notably. This study illustrates how inter-sectorial surveillance data integration, can be used to optimize National Action Plans against <em>Campylobacter</em> spp. and other similar foodborne pathogens.</p></div>\",\"PeriodicalId\":48593,\"journal\":{\"name\":\"Microbial Risk Analysis\",\"volume\":\"23 \",\"pages\":\"Article 100248\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microbial Risk Analysis\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352352223000038\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbial Risk Analysis","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352352223000038","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
A model using an inter-sectorial data integration process indicates that reducing Campylobacter cross-contamination at slaughter mitigates the risk of human campylobacteriosis effectively
The risk of human campylobacteriosis due to Danish broiler flocks cross-contaminated (CC) at slaughter with Campylobacter spp. was assessed. National surveillance data (2018) on flock Campylobacter status (called animal level component (AL)) and on contamination of chilled carcasses ready for consumption (food safety component (FS)), were compared. The AL component consisted of PCR testing results on pools of cloacal swabs collected from 3,012 conventional flocks, while the FS component presented culture testing of leg skins from 999 (of the 3,012) randomly sampled flocks. Datasets were integrated on flocks tested in both components, by combinations of farm-ID, house-unit and sampling date. The CC flocks were those entering the slaughterhouse as AL-negative, but resulting FS-positive. All remaining carcass positive flocks were instead classified as Non-CC flocks. The apparent prevalence (AP) of carcass positive flocks and the colony forming units per gram (cfu/g), measured by the FS component, were fed into a published simulation model, to assess under three simulation scenarios: the mean monthly risk per serving during 2018, relative (RR) to that of 2013 (reference year in the current Danish Action Plan). In the baseline scenario, the original AL status and the FS cfu/g were maintained. In the alternative scenarios I and II, the FS cfu/g were set = 0 (i.e. negative) for the Non-CC and for the CC flocks, respectively. Thus, scenario I and the differences between the other two scenarios, provided the contribution of the CC flocks to the AP and to the RR. The (overall) annual median log10 cfu/g was ≈ 2.8 (min. = 1.0; max. = 4.0) for the Non-CC flocks and 1.4 (1.0; 3.9) for the CC flocks. The median monthly difference in AP, between the baseline scenario and scenario II was 7% (min = 2% in January; max = 19% in August), while the difference in risk was 0.04% (0.001%; 0.11%), which was similar to the mean monthly risk under scenario I. If cross-contamination had not occurred (scenario II), the annual AP would have reduced from 24.3% to 16.1% and the RR would have reduced from 0.92 to 0.77. Therefore, ≈16% of the public health risk posed by Danish conventional broiler meat, appeared attributable to CC flocks. Reducing cross-contamination could mitigate the risk of human campylobacteriosis notably. This study illustrates how inter-sectorial surveillance data integration, can be used to optimize National Action Plans against Campylobacter spp. and other similar foodborne pathogens.
期刊介绍:
The journal Microbial Risk Analysis accepts articles dealing with the study of risk analysis applied to microbial hazards. Manuscripts should at least cover any of the components of risk assessment (risk characterization, exposure assessment, etc.), risk management and/or risk communication in any microbiology field (clinical, environmental, food, veterinary, etc.). This journal also accepts article dealing with predictive microbiology, quantitative microbial ecology, mathematical modeling, risk studies applied to microbial ecology, quantitative microbiology for epidemiological studies, statistical methods applied to microbiology, and laws and regulatory policies aimed at lessening the risk of microbial hazards. Work focusing on risk studies of viruses, parasites, microbial toxins, antimicrobial resistant organisms, genetically modified organisms (GMOs), and recombinant DNA products are also acceptable.