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

Autores
Brusa, Victoria; Costa, Magdalena; Oteiza, Juan Martín; Galli, Lucía; Barril, Patricia Angélica; Leotta, Gerardo Anibal; Signorini Porchiett, Marcelo Lisandro
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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
Fuente
Food Science and Technology International : 1-17 (June 2023)
Materia
Priorization
Priorización
Vegetable-borne
Origen vegetal
Biological hazards
Peligros biológicos
Multicriteria decision analysis
Análisis de decisión multicriterio
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling Prioritization of vegetable-borne biological hazards in Argentina using a multicriteria decision analysis toolBrusa, VictoriaCosta, MagdalenaOteiza, Juan MartínGalli, LucíaBarril, Patricia AngélicaLeotta, Gerardo AnibalSignorini Porchiett, Marcelo LisandroPriorizationPriorizaciónVegetable-borneOrigen vegetalBiological hazardsPeligros biológicosMulticriteria decision analysisAnálisis de decisión multicriterioVegetables, 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 RafaelaFil: Brusa, Victoria. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); ArgentinaFil: Brusa, Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); ArgentinaFil: Costa, Magdalena. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); ArgentinaFil: Costa, Magdalena. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); ArgentinaFil: Oteiza, Juan M. Centro de Investigación y Asistencia Técnica a la Industria (CIATI). Neuquén; ArgentinaFil: Galli, Lucía. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); ArgentinaFil: Galli, Lucía. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); ArgentinaFil: Barril, Patricia A. Centro de Investigación y Asistencia Técnica a la Industria (CIATI). Neuquén; ArgentinaFil: Leotta, Gerardo A. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); ArgentinaFil: Leotta, Gerardo A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Genética Veterinaria "Ing. Fernando N. Dulout" (IGEVET); ArgentinaFil: Signorini, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación de la Cadena Láctea (IdICaL); ArgentinaFil: Signorini, Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea (IDICAL); ArgentinaSAGE Publications2024-04-16T10:54:31Z2024-04-16T10:54:31Z2023-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/17416https://journals.sagepub.com/doi/10.1177/108201322311806401082-01321532-1738 (online)https://doi.org/10.1177/1082013223118064Food Science and Technology International : 1-17 (June 2023)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:50:19Zoai:localhost:20.500.12123/17416instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:50:19.96INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv 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
spellingShingle Prioritization of vegetable-borne biological hazards in Argentina using a multicriteria decision analysis tool
Brusa, Victoria
Priorization
Priorización
Vegetable-borne
Origen vegetal
Biological hazards
Peligros biológicos
Multicriteria decision analysis
Análisis de decisión multicriterio
title_short 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_sort Prioritization of vegetable-borne biological hazards in Argentina using a multicriteria decision analysis tool
dc.creator.none.fl_str_mv Brusa, Victoria
Costa, Magdalena
Oteiza, Juan Martín
Galli, Lucía
Barril, Patricia Angélica
Leotta, Gerardo Anibal
Signorini Porchiett, Marcelo Lisandro
author Brusa, Victoria
author_facet Brusa, Victoria
Costa, Magdalena
Oteiza, Juan Martín
Galli, Lucía
Barril, Patricia Angélica
Leotta, Gerardo Anibal
Signorini Porchiett, Marcelo Lisandro
author_role author
author2 Costa, Magdalena
Oteiza, Juan Martín
Galli, Lucía
Barril, Patricia Angélica
Leotta, Gerardo Anibal
Signorini Porchiett, Marcelo Lisandro
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Priorization
Priorización
Vegetable-borne
Origen vegetal
Biological hazards
Peligros biológicos
Multicriteria decision analysis
Análisis de decisión multicriterio
topic Priorization
Priorización
Vegetable-borne
Origen vegetal
Biological hazards
Peligros biológicos
Multicriteria decision analysis
Análisis de decisión multicriterio
dc.description.none.fl_txt_mv 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
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.
publishDate 2023
dc.date.none.fl_str_mv 2023-06
2024-04-16T10:54:31Z
2024-04-16T10:54:31Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 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
url http://hdl.handle.net/20.500.12123/17416
https://journals.sagepub.com/doi/10.1177/10820132231180640
https://doi.org/10.1177/1082013223118064
identifier_str_mv 1082-0132
1532-1738 (online)
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SAGE Publications
publisher.none.fl_str_mv SAGE Publications
dc.source.none.fl_str_mv Food Science and Technology International : 1-17 (June 2023)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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