{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:25:09Z","timestamp":1760707509119},"reference-count":36,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2005,3,18]],"date-time":"2005-03-18T00:00:00Z","timestamp":1111104000000},"content-version":"vor","delay-in-days":45,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Risk Analysis"],"published-print":{"date-parts":[[2005,2]]},"abstract":"<jats:p>The management of microbial risk in food products requires the ability to predict growth kinetics of pathogenic microorganisms in the event of contamination and growth initiation. Useful data for assessing these issues may be found in the literature or from experimental results. However, the large number and variety of data make further development difficult. Statistical techniques, such as meta\u2010analysis, are then useful to realize synthesis of a set of distinct but similar experiences. Moreover, predictive modeling tools can be employed to complete the analysis and help the food safety manager to interpret the data. In this article, a protocol to perform a meta\u2010analysis of the outcome of a relational database, associated with quantitative microbiology models, is presented. The methodology is illustrated with the effect of temperature on pathogenic <jats:italic>Escherichia coli<\/jats:italic> and <jats:italic>Listeria monocytogenes,<\/jats:italic> growing in culture medium, beef meat, and milk products. Using a database and predictive models, simulations of growth in a given product subjected to various temperature scenarios can be produced. It is then possible to compare food products for a given microorganism, according to its growth ability in these products, and to compare the behavior of bacteria in a given foodstuff. These results can assist decisions for a variety of questions on food safety.<\/jats:p>","DOI":"10.1111\/j.0272-4332.2005.00568.x","type":"journal-article","created":{"date-parts":[[2005,3,19]],"date-time":"2005-03-19T10:54:57Z","timestamp":1111229697000},"page":"75-83","source":"Crossref","is-referenced-by-count":21,"title":["Meta\u2010Analysis of Food Safety Information Based on a Combination of a Relational Database and a Predictive Modeling Tool"],"prefix":"10.1111","volume":"25","author":[{"given":"Mich\u00e8le","family":"Vialette","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anthony","family":"Pinon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Beno\u00eet","family":"Leporq","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Catherine","family":"Dervin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeanne\u2010Marie","family":"Membr\u00e9","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2005,3,18]]},"reference":[{"key":"e_1_2_7_2_2","doi-asserted-by":"publisher","DOI":"10.4315\/0362-028X-67.9.1967"},{"key":"e_1_2_7_3_2","unstructured":"Leporq B. Membr\u00e9 J. M. Zwietering M. H. Dervin C. Buche P. &Guyonnet J. P.(2003).The \u201cSym'Previus\u201d software a tool to support decisions to the foodstuff safety. InJ. F.Van Impe A. H.Geeraerd I.Leguerinel &P.Mafart(Eds.) Predictive Modelling in Foods\u2014Conference Proceedings Quimper:France June 15\u201319 2003(pp.55\u201357).Katholieke Universiteit Leuven\/BioTeC."},{"key":"e_1_2_7_4_2","first-page":"129","article-title":"Comment construire une base de donn\u00e9es en microbiologie alimentaire? Projet Sym'Previus","volume":"18","author":"Leporq B.","year":"2003","journal-title":"Bulletin de la Soci\u00e9t\u00e9 Fran\u00e7aise de Microbiologie"},{"key":"e_1_2_7_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0168-1605(01)00647-X"},{"key":"e_1_2_7_6_2","unstructured":"Sym'Previus: Syst\u00e8me de pr\u00e9vision des micro\u2010organismes dans les aliments. 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