{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T19:22:43Z","timestamp":1792696963324,"version":"4.5.0"},"reference-count":49,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32102111"],"award-info":[{"award-number":["32102111"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Food Microbiology"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1016\/j.fm.2023.104283","type":"journal-article","created":{"date-parts":[[2023,4,8]],"date-time":"2023-04-08T08:27:24Z","timestamp":1680942444000},"page":"104283","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":8,"special_numbering":"C","title":["Distribution-based maximum likelihood estimation methods are preferred for estimating Salmonella concentration in chicken when contamination data are highly left-censored"],"prefix":"10.1016","volume":"113","author":[{"given":"Tianmei","family":"Sun","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yangtai","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shufei","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojie","family":"Qin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zijie","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Dou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingli","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"7","key":"10.1016\/j.fm.2023.104283_bib1","doi-asserted-by":"crossref","first-page":"1278","DOI":"10.4315\/0362-028X.JFP-11-418","article-title":"Ranking the disease burden of 14 pathogens in food sources in the United States using attribution data from outbreak investigations and expert elicitation","volume":"75","author":"Batz","year":"2012","journal-title":"J. Food Protect."},{"issue":"1","key":"10.1016\/j.fm.2023.104283_bib2","doi-asserted-by":"crossref","first-page":"182","DOI":"10.3201\/eid2701.200316","article-title":"Attribution of illnesses transmitted by food and water to comprehensive transmission pathways using structured expert judgment, United States","volume":"27","author":"Beshearse","year":"2021","journal-title":"Emerg. Infect. Dis."},{"issue":"20","key":"10.1016\/j.fm.2023.104283_bib3","doi-asserted-by":"crossref","first-page":"e01203","DOI":"10.1128\/AEM.01203-18","article-title":"Methods for handling left-censored data in quantitative microbial risk assessment","volume":"84","author":"Canales","year":"2018","journal-title":"Appl. Environ. Microbiol."},{"issue":"3","key":"10.1016\/j.fm.2023.104283_bib4","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.ijfoodmicro.2012.01.023","article-title":"Fitting a lognormal distribution to enumeration and absence\/presence data","volume":"155","author":"Commeau","year":"2012","journal-title":"Int. J. Food Microbiol."},{"issue":"5","key":"10.1016\/j.fm.2023.104283_bib5","doi-asserted-by":"crossref","first-page":"700","DOI":"10.4315\/0362-028X.JFP-10-373","article-title":"Quantitative assessment of the microbial risk of leafy greens from farm to consumption: preliminary framework, data, and risk estimates","volume":"74","author":"Danyluk","year":"2011","journal-title":"J. Food Protect."},{"key":"10.1016\/j.fm.2023.104283_bib6","series-title":"Microbiological Risk Assessment Series 2","article-title":"Risk assessment of Salmonella in eggs and broiler chickens","year":"2002"},{"issue":"4","key":"10.1016\/j.fm.2023.104283_bib7","doi-asserted-by":"crossref","first-page":"582","DOI":"10.1128\/MMBR.00015-13","article-title":"Salmonella pathogenicity and host adaptation in chicken-associated serovars","volume":"77","author":"Foley","year":"2013","journal-title":"Microbiol. Mol. Biol. Rev."},{"issue":"4","key":"10.1016\/j.fm.2023.104283_bib8","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1080\/15459621003609713","article-title":"An accurate substitution method for analyzing censored data","volume":"7","author":"Ganser","year":"2010","journal-title":"J. Occup. Environ. Hyg."},{"issue":"3","key":"10.1016\/j.fm.2023.104283_bib9","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1016\/j.ijfoodmicro.2009.10.016","article-title":"Count data distributions and their zero-modified equivalents as a framework for modelling microbial data with a relatively high occurrence of zero counts","volume":"136","author":"Gonzales-Barron","year":"2010","journal-title":"Int. J. Food Microbiol."},{"issue":"8","key":"10.1016\/j.fm.2023.104283_bib10","doi-asserted-by":"crossref","first-page":"1279","DOI":"10.1016\/j.foodcont.2011.01.029","article-title":"A comparison between the discrete Poisson-gamma and Poisson-lognormal distributions to characterise microbial counts in foods","volume":"22","author":"Gonzales-Barron","year":"2011","journal-title":"Food Control"},{"issue":"1","key":"10.1016\/j.fm.2023.104283_bib11","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.foodcont.2011.10.035","article-title":"Use of a Poisson-gamma model to assess the performance of the EC process hygiene criterion for Enterobacteriaceae on Irish sheep carcasses","volume":"25","author":"Gonzales-Barron","year":"2012","journal-title":"Food Control"},{"key":"10.1016\/j.fm.2023.104283_bib12","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1016\/j.foodcont.2013.09.032","article-title":"Conducting inferential statistics for low microbial counts in foods using the Poisson-gamma regression","volume":"37","author":"Gonzales-Barron","year":"2014","journal-title":"Food Control"},{"issue":"4","key":"10.1016\/j.fm.2023.104283_bib13","doi-asserted-by":"crossref","first-page":"1030","DOI":"10.1111\/j.0006-341X.2000.01030.x","article-title":"Zero-inflated Poisson and binomial regression with random effects: a case study","volume":"56","author":"Hall","year":"2000","journal-title":"Biometrics"},{"issue":"3","key":"10.1016\/j.fm.2023.104283_bib14","first-page":"257","article-title":"Much ado about next to nothing: incorporating nondetects in science","volume":"54","author":"Helsel","year":"2010","journal-title":"Ann. Occup. Hyg."},{"key":"10.1016\/j.fm.2023.104283_bib15","series-title":"Statistics for Censored Environmental Data Using Minitab and R","author":"Helsel","year":"2012"},{"issue":"2","key":"10.1016\/j.fm.2023.104283_bib16","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/S0167-9473(98)00007-3","article-title":"Overdispersion: models and estimation","volume":"27","author":"Hinde","year":"1998","journal-title":"Comput. Stat. Data Anal."},{"issue":"9","key":"10.1016\/j.fm.2023.104283_bib17","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0183641","article-title":"Attribution of global foodborne disease to specific foods: findings from a World Health Organization structured expert elicitation","volume":"12","author":"Hoffmann","year":"2017","journal-title":"PLoS One"},{"issue":"5","key":"10.1016\/j.fm.2023.104283_bib18","first-page":"1660","article-title":"Reconsideration of the derivation of most probable numbers, their standard deviations, confidence bounds and rarity values","volume":"109","author":"Jarvis","year":"2010","journal-title":"J. Appl. Microbiol."},{"issue":"2","key":"10.1016\/j.fm.2023.104283_bib19","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1016\/j.foodcont.2012.02.004","article-title":"Impact of microbial distributions on food safety I. Factors influencing microbial distributions and modelling aspects","volume":"26","author":"Jongenburger","year":"2012","journal-title":"Food Control"},{"issue":"2","key":"10.1016\/j.fm.2023.104283_bib20","doi-asserted-by":"crossref","first-page":"546","DOI":"10.1016\/j.foodcont.2012.01.064","article-title":"Impact of microbial distributions on food safety II. Quantifying impacts on public health and sampling","volume":"26","author":"Jongenburger","year":"2012","journal-title":"Food Control"},{"key":"10.1016\/j.fm.2023.104283_bib21","first-page":"479","article-title":"Statistical aspects of food safety sampling","volume":"vol. 6","author":"Jongenburger","year":"2015"},{"issue":"11","key":"10.1016\/j.fm.2023.104283_bib22","doi-asserted-by":"crossref","first-page":"1661","DOI":"10.3390\/foods9111661","article-title":"Review of quantitative microbial risk sssessment in poultry meat: the central position of consumer behavior","volume":"9","author":"Khalid","year":"2020","journal-title":"Foods"},{"issue":"3","key":"10.1016\/j.fm.2023.104283_bib23","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1111\/biom.12490","article-title":"Joint model for left-censored longitudinal data, recurrent events and terminal event: predictive abilities of tumor burden for cancer evolution with application to the FFCD 2000-05 trial","volume":"72","author":"Krol","year":"2016","journal-title":"Biometrics"},{"key":"10.1016\/j.fm.2023.104283_bib24","doi-asserted-by":"crossref","first-page":"1132","DOI":"10.1016\/j.foodres.2017.11.025","article-title":"Quantitative microbiological risk assessment in food industry: theory and practical application","volume":"106","author":"Membre","year":"2018","journal-title":"Food Res. Int."},{"issue":"3","key":"10.1016\/j.fm.2023.104283_bib25","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/0304-4076(86)90002-3","article-title":"Specification and testing of some modified count data models","volume":"33","author":"Mullahy","year":"1986","journal-title":"J. Econom."},{"issue":"1","key":"10.1016\/j.fm.2023.104283_bib26","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.foodcont.2013.04.001","article-title":"Effectiveness of sampling plans by attributes based on mixture distributions characterising microbial clustering in food","volume":"34","author":"Mussida","year":"2013","journal-title":"Food Control"},{"key":"10.1016\/j.fm.2023.104283_bib27","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.watres.2015.09.006","article-title":"Variability in the recovery of a virus concentration procedure in water: implications for QMRA","volume":"87","author":"Petterson","year":"2015","journal-title":"Water Res."},{"key":"10.1016\/j.fm.2023.104283_bib28","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.watres.2019.01.041","article-title":"Data fitting approach more critical than exposure scenarios and treatment of censored data for quantitative microbial risk assessment","volume":"154","author":"Poma","year":"2019","journal-title":"Water Res."},{"issue":"10","key":"10.1016\/j.fm.2023.104283_bib29","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1111\/j.1539-6924.2012.01796.x","article-title":"A risk assessment of campylobacteriosis and salmonellosis linked to chicken meals prepared in households in Dakar, Senegal","volume":"32","author":"Pouillot","year":"2012","journal-title":"Risk Anal."},{"issue":"2","key":"10.1016\/j.fm.2023.104283_bib30","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1016\/j.foodcont.2012.05.041","article-title":"Estimating probability distributions of bacterial concentrations in food based on data generated using the most probable number (MPN) method for use in risk assessment","volume":"29","author":"Pouillot","year":"2013","journal-title":"Food Control"},{"issue":"7","key":"10.1016\/j.fm.2023.104283_bib31","doi-asserted-by":"crossref","first-page":"1411","DOI":"10.1016\/j.watres.2006.12.034","article-title":"Validation of hollow fiber ultrafiltration and real-time PCR using bacteriophage PP7 as surrogate for the quantification of viruses from water samples","volume":"41","author":"Rajal","year":"2007","journal-title":"Water Res."},{"key":"10.1016\/j.fm.2023.104283_bib32","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.foodcont.2017.12.013","article-title":"Characterisation of Campylobacter contamination in broilers and assessment of microbiological criteria for the pathogen in broiler slaughterhouses","volume":"87","author":"Reich","year":"2018","journal-title":"Food Control"},{"key":"10.1016\/j.fm.2023.104283_bib33","article-title":"The rise of multiple imputation: a review of the reporting and implementation of the method in medical research","volume":"15","author":"Rezvan","year":"2015","journal-title":"BMC Med. Res. Methodol."},{"issue":"434","key":"10.1016\/j.fm.2023.104283_bib34","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1080\/01621459.1996.10476908","article-title":"Multiple imputation after 18+ years","volume":"91","author":"Rubin","year":"1996","journal-title":"J. Am. Stat. Assoc."},{"issue":"1","key":"10.1016\/j.fm.2023.104283_bib35","doi-asserted-by":"crossref","first-page":"7","DOI":"10.3201\/eid1701.P11101","article-title":"Foodborne illness acquired in the United States-major pathogens","volume":"17","author":"Scallan","year":"2011","journal-title":"Emerging Infections Diseases"},{"key":"10.1016\/j.fm.2023.104283_bib36","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1016\/j.chemosphere.2015.07.009","article-title":"Estimating the mean and standard deviation of environmental data with below detection limit observations: considering highly skewed data and model misspecification","volume":"138","author":"Shoari","year":"2015","journal-title":"Chemosphere"},{"issue":"3","key":"10.1016\/j.fm.2023.104283_bib37","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1002\/etc.4046","article-title":"Toward improved analysis of concentration data: embracing nondetects","volume":"37","author":"Shoari","year":"2018","journal-title":"Environ. Toxicol. Chem."},{"issue":"27","key":"10.1016\/j.fm.2023.104283_bib38","doi-asserted-by":"crossref","first-page":"6008","DOI":"10.1002\/sim.9166","article-title":"Multiple imputation for handling missing outcome data in randomized trials involving a mixture of independent and paired data","volume":"40","author":"Sullivan","year":"2021","journal-title":"Stat. Med."},{"issue":"11","key":"10.1016\/j.fm.2023.104283_bib39","first-page":"49","article-title":"Application of zero-inflated models in quantitative exposure assessment of Listeria monocytogenes in bulk cooked meat. in Chinese","volume":"40","author":"Sun","year":"2019","journal-title":"Food Sci. (N. Y.)"},{"key":"10.1016\/j.fm.2023.104283_bib40","doi-asserted-by":"crossref","DOI":"10.1016\/j.foodres.2020.109040","article-title":"Probabilistic model for estimating Listeria monocytogenes concentration in cooked meat products from presence\/absence data","volume":"131","author":"Sun","year":"2020","journal-title":"Food Res. Int."},{"issue":"11","key":"10.1016\/j.fm.2023.104283_bib41","doi-asserted-by":"crossref","first-page":"2757","DOI":"10.3390\/foods10112757","article-title":"The prevalence and epidemiology of Salmonella in retail raw poultry meat in China: a systematic review and meta-analysis","volume":"10","author":"Sun","year":"2021","journal-title":"Foods"},{"issue":"1","key":"10.1016\/j.fm.2023.104283_bib42","doi-asserted-by":"crossref","first-page":"57","DOI":"10.4315\/0362-028X.JFP-13-221","article-title":"Quantification, serovars, and antibiotic resistance of Salmonella isolated from retail raw chicken meat in Vietnam","volume":"77","author":"Ta","year":"2014","journal-title":"J. Food Protect."},{"key":"10.1016\/j.fm.2023.104283_bib45","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1016\/j.foodcont.2017.10.021","article-title":"Sampling plans for the zero-inflated Poisson distribution in the food industry","volume":"85","author":"Wang","year":"2018","journal-title":"Food Control"},{"issue":"6","key":"10.1016\/j.fm.2023.104283_bib46","doi-asserted-by":"crossref","first-page":"1174","DOI":"10.1002\/qre.2316","article-title":"Sampling plans for the zero-inflated negative binomial distribution in the food industry","volume":"34","author":"Wang","year":"2018","journal-title":"Qual. Reliab. Eng. Int."},{"issue":"2","key":"10.1016\/j.fm.2023.104283_bib47","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1089\/fpd.2013.1586","article-title":"Enumeration and characterization of Salmonella isolates from retail chicken carcasses in Beijing, China","volume":"11","author":"Wang","year":"2014","journal-title":"Foodborne Pathog. Dis."},{"issue":"1","key":"10.1016\/j.fm.2023.104283_bib48","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.foodcont.2012.03.007","article-title":"Methods for fitting the Poisson-lognormal distribution to microbial testing data","volume":"27","author":"Williams","year":"2012","journal-title":"Food Control"},{"key":"10.1016\/j.fm.2023.104283_bib49","doi-asserted-by":"crossref","DOI":"10.1016\/j.foodcont.2020.107612","article-title":"A quantitative risk assessment model of Salmonella contamination for the yellow-feathered broiler chicken supply chain in China","volume":"121","author":"Xiao","year":"2021","journal-title":"Food Control"},{"key":"10.1016\/j.fm.2023.104283_bib50","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2019.136385","article-title":"Prevalence, abundance, serovars and antimicrobial resistance of Salmonella isolated from retail raw poultry meat in China","volume":"713","author":"Yang","year":"2020","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.fm.2023.104283_bib51","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.foodcont.2014.03.050","article-title":"Prevalence and quantification of Salmonella contamination in raw chicken carcasses at the retail in China","volume":"44","author":"Zhu","year":"2014","journal-title":"Food Control"}],"container-title":["Food Microbiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0740002023000709?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0740002023000709?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T10:10:35Z","timestamp":1778753435000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0740002023000709"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":49,"alternative-id":["S0740002023000709"],"URL":"https:\/\/doi.org\/10.1016\/j.fm.2023.104283","relation":{},"ISSN":["0740-0020"],"issn-type":[{"value":"0740-0020","type":"print"}],"subject":[],"published":{"date-parts":[[2023,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Distribution-based maximum likelihood estimation methods are preferred for estimating Salmonella concentration in chicken when contamination data are highly left-censored","name":"articletitle","label":"Article Title"},{"value":"Food Microbiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.fm.2023.104283","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"104283"}}