dc.creatorRuiz Quinones
dc.creatorNataly; Castro Aguilar
dc.creatorOscar; Ocampo Guerrero
dc.creatorMartha Lily
dc.date2016
dc.date2017-11-13T13:45:11Z
dc.date2017-11-13T13:45:11Z
dc.date.accessioned2018-03-29T05:59:51Z
dc.date.available2018-03-29T05:59:51Z
dc.identifier9th International Conference On Predictive Modelling In Food. Elsevier Science Bv, v. 7, p. 137 - 140, 2016.
dc.identifier2211-601X
dc.identifierWOS:000386627900033
dc.identifier10.1016/j.profoo.2016.05.005
dc.identifierhttp://www.sciencedirect.com/science/article/pii/S2211601X16300050
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/328946
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1365971
dc.descriptionSwine meat is a growing market in Colombia, reaching 3.1 million of carcasses sold in 2014. However, it is estimated that the proportion of hogs illegally marketed can be up to 50%, which exposes the population to foodborne pathogens such as Salmonella. The aim of this study was to estimate the risk associated to the marketing of swine meat contaminated with Salmonella, using the William T. Fine method in Tolima Department. The risk scenarios applied to four municipalities positive for Salmonella showed a medium and low level of risk, and an exposed population of 114,000 people, representing 8.7% of the Department's population. In the worst-case scenario, costs for hospitalization and compensation could represent more than US$ 145 billion for the biggest municipality. It can be concluded that the William T. Fine method is applicable for biological risk analysis focused on foodborne pathogen outbreaks. (C) 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.
dc.description7
dc.description137
dc.description140
dc.description9th International Conference on Predictive Modelling in Food
dc.descriptionSEP 08-12, 2015
dc.descriptionRio de Janeiro, BRAZIL
dc.languageEnglish
dc.publisherElsevier Science BV
dc.publisherAmsterdam
dc.relation9th International Conference on Predictive Modelling in Food
dc.rightsfechado
dc.sourceWOS
dc.subjectSalmonella
dc.subjectSwine Meat
dc.subjectMathematic Estimation
dc.subjectRisk Scenario
dc.subjectWilliam T. Fine
dc.titleEstimation Of The Risk Associated To Marketing Of Swine Meat Contaminated With Salmonella Spp., Employing The William T. Fine Method
dc.typeActas de congresos


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