Prioritization of vegetable-borne biological hazards in Argentina using a multicriteria decision analysis tool

Vegetables, especially those eaten raw, have been implicated in several foodborne disease outbreaks. Since multiple vegetable matrices and hazards are involved, risk managers have to prioritize those with the greatest impact on public health to design control strategies. In this study, a scientific-...

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Main Authors: Brusa, Victoria, Costa, Magdalena, Oteiza, Juan Martín, Galli, Lucía, Barril, Patricia Angélica, Leotta, Gerardo Anibal, Signorini Porchiett, Marcelo Lisandro
Format: Artículo
Language:Inglés
Published: SAGE Publications 2024
Subjects:
Online Access:http://hdl.handle.net/20.500.12123/17416
https://journals.sagepub.com/doi/10.1177/10820132231180640
https://doi.org/10.1177/1082013223118064
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author Brusa, Victoria
Costa, Magdalena
Oteiza, Juan Martín
Galli, Lucía
Barril, Patricia Angélica
Leotta, Gerardo Anibal
Signorini Porchiett, Marcelo Lisandro
author_browse Barril, Patricia Angélica
Brusa, Victoria
Costa, Magdalena
Galli, Lucía
Leotta, Gerardo Anibal
Oteiza, Juan Martín
Signorini Porchiett, Marcelo Lisandro
author_facet Brusa, Victoria
Costa, Magdalena
Oteiza, Juan Martín
Galli, Lucía
Barril, Patricia Angélica
Leotta, Gerardo Anibal
Signorini Porchiett, Marcelo Lisandro
author_sort Brusa, Victoria
collection INTA Digital
description Vegetables, especially those eaten raw, have been implicated in several foodborne disease outbreaks. Since multiple vegetable matrices and hazards are involved, risk managers have to prioritize those with the greatest impact on public health to design control strategies. In this study, a scientific-based risk ranking of foodborne pathogens transmitted by leafy green vegetables in Argentina was performed. The prioritization process included hazard identification, evaluation criteria identification and definition, criteria weighting, expert survey design and selection and call for experts, hazard score calculation, hazard ranking and variation coefficient, and result analysis. Regression tree analysis determined four risk clusters: high (Cryptosporidum spp., Toxoplasma gondii, Norovirus), moderate (Giardia spp., Listeria spp., Shigella sonnei), low (Shiga toxin-producing Escherichia coli, Ascaris spp., Entamoeba histolytica, Salmonella spp., Rotavirus, Enterovirus) and very low (Campylobacter jejuni, hepatitis A virus and Yersinia pseudotuberculosis). Diseases caused by Norovirus, Cryptosporidium spp. and T. gondii do not require mandatory notification. Neither viruses nor parasites are included as microbiological criteria for foodstuff. The lack of outbreak studies did not allow to accurately identify vegetables as a source of Norovirus disease. Information on listeriosis cases or outbreaks due to vegetable consumption was not available. Shigella spp. was the main responsible for bacterial diarrhea, but it has not been epidemiologically associated with vegetable consumption. The quality of the available information for all hazards studied was very low and low. The implementation of good practice guidelines throughout the entire vegetable production chain could prevent the presence of the identified hazards. The current study allowed the identification of vacancy areas and could help reinforce the need for performing epidemiological studies on foodborne diseases potentially associated with vegetable consumption in Argentina.
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spelling INTA174162024-04-16T11:16:44Z Prioritization of vegetable-borne biological hazards in Argentina using a multicriteria decision analysis tool Brusa, Victoria Costa, Magdalena Oteiza, Juan Martín Galli, Lucía Barril, Patricia Angélica Leotta, Gerardo Anibal Signorini Porchiett, Marcelo Lisandro Priorization Priorización Vegetable-borne Origen vegetal Biological hazards Peligros biológicos Multicriteria decision analysis Análisis de decisión multicriterio Vegetables, especially those eaten raw, have been implicated in several foodborne disease outbreaks. Since multiple vegetable matrices and hazards are involved, risk managers have to prioritize those with the greatest impact on public health to design control strategies. In this study, a scientific-based risk ranking of foodborne pathogens transmitted by leafy green vegetables in Argentina was performed. The prioritization process included hazard identification, evaluation criteria identification and definition, criteria weighting, expert survey design and selection and call for experts, hazard score calculation, hazard ranking and variation coefficient, and result analysis. Regression tree analysis determined four risk clusters: high (Cryptosporidum spp., Toxoplasma gondii, Norovirus), moderate (Giardia spp., Listeria spp., Shigella sonnei), low (Shiga toxin-producing Escherichia coli, Ascaris spp., Entamoeba histolytica, Salmonella spp., Rotavirus, Enterovirus) and very low (Campylobacter jejuni, hepatitis A virus and Yersinia pseudotuberculosis). Diseases caused by Norovirus, Cryptosporidium spp. and T. gondii do not require mandatory notification. Neither viruses nor parasites are included as microbiological criteria for foodstuff. The lack of outbreak studies did not allow to accurately identify vegetables as a source of Norovirus disease. Information on listeriosis cases or outbreaks due to vegetable consumption was not available. Shigella spp. was the main responsible for bacterial diarrhea, but it has not been epidemiologically associated with vegetable consumption. The quality of the available information for all hazards studied was very low and low. The implementation of good practice guidelines throughout the entire vegetable production chain could prevent the presence of the identified hazards. The current study allowed the identification of vacancy areas and could help reinforce the need for performing epidemiological studies on foodborne diseases potentially associated with vegetable consumption in Argentina. EEA Rafaela Fil: Brusa, Victoria. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); Argentina Fil: Brusa, Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); Argentina Fil: Costa, Magdalena. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); Argentina Fil: Costa, Magdalena. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); Argentina Fil: Oteiza, Juan M. Centro de Investigación y Asistencia Técnica a la Industria (CIATI). Neuquén; Argentina Fil: Galli, Lucía. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); Argentina Fil: Galli, Lucía. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); Argentina Fil: Barril, Patricia A. Centro de Investigación y Asistencia Técnica a la Industria (CIATI). Neuquén; Argentina Fil: Leotta, Gerardo A. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); Argentina Fil: Leotta, Gerardo A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); Argentina Fil: Signorini, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación de la Cadena Láctea (IdICaL); Argentina Fil: Signorini, Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea (IDICAL); Argentina 2024-04-16T10:54:31Z 2024-04-16T10:54:31Z 2023-06 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/17416 https://journals.sagepub.com/doi/10.1177/10820132231180640 1082-0132 1532-1738 (online) https://doi.org/10.1177/1082013223118064 eng info:eu-repo/semantics/restrictedAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf SAGE Publications Food Science and Technology International : 1-17 (June 2023)
spellingShingle Priorization
Priorización
Vegetable-borne
Origen vegetal
Biological hazards
Peligros biológicos
Multicriteria decision analysis
Análisis de decisión multicriterio
Brusa, Victoria
Costa, Magdalena
Oteiza, Juan Martín
Galli, Lucía
Barril, Patricia Angélica
Leotta, Gerardo Anibal
Signorini Porchiett, Marcelo Lisandro
Prioritization of vegetable-borne biological hazards in Argentina using a multicriteria decision analysis tool
title Prioritization of vegetable-borne biological hazards in Argentina using a multicriteria decision analysis tool
title_full Prioritization of vegetable-borne biological hazards in Argentina using a multicriteria decision analysis tool
title_fullStr Prioritization of vegetable-borne biological hazards in Argentina using a multicriteria decision analysis tool
title_full_unstemmed Prioritization of vegetable-borne biological hazards in Argentina using a multicriteria decision analysis tool
title_short Prioritization of vegetable-borne biological hazards in Argentina using a multicriteria decision analysis tool
title_sort prioritization of vegetable borne biological hazards in argentina using a multicriteria decision analysis tool
topic Priorization
Priorización
Vegetable-borne
Origen vegetal
Biological hazards
Peligros biológicos
Multicriteria decision analysis
Análisis de decisión multicriterio
url http://hdl.handle.net/20.500.12123/17416
https://journals.sagepub.com/doi/10.1177/10820132231180640
https://doi.org/10.1177/1082013223118064
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