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Resumen
Norovirus (NoV) and hepatitis A virus (HAV) stand as the predominant agents associated with viral foodborne infections. Outbreaks have been documented to be caused by various types of food items, including fresh and/or frozen berries. Comprehensive data concerning crucial viral pathogens in berries remain limited and are not currently available in aggregate form. Consequently, the present study aimed to compile the existing information regarding the [ver mas...]
dc.contributor.authorMiotti, Camila
dc.contributor.authorSignorini Porchiett, Marcelo Lisandro
dc.contributor.authorOteiza, Juan Martín
dc.contributor.authorPrez, Verónica Emilse
dc.contributor.authorBarril, Patricia Angélica
dc.date.accessioned2024-02-22T10:16:13Z
dc.date.available2024-02-22T10:16:13Z
dc.date.issued2024-03
dc.identifier.issn0168-1605
dc.identifier.issn1879-3460
dc.identifier.otherhttps://doi.org/10.1016/j.ijfoodmicro.2024.110577
dc.identifier.urihttp://hdl.handle.net/20.500.12123/16745
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0168160524000217
dc.description.abstractNorovirus (NoV) and hepatitis A virus (HAV) stand as the predominant agents associated with viral foodborne infections. Outbreaks have been documented to be caused by various types of food items, including fresh and/or frozen berries. Comprehensive data concerning crucial viral pathogens in berries remain limited and are not currently available in aggregate form. Consequently, the present study aimed to compile the existing information regarding the prevalence of NoV and HAV in this matrix. Records of foodborne viruses were systematically extracted from database repositories up to December 2022, adhering to PRISMA standards and were subjected to a multilevel random effect meta-analysis model to determine the mean occurrence rate of NoV and HAV. A high heterogeneity across studies was observed (I2 = 82 %), reflecting variations in the prevalence of sampling locations, years, berry types, and sample conditions, among other potential contributing factors. The prevalence of NoV and HAV in berries was calculated at 2.12 % (95 % CI 1.74–2.59 %), and no statistically differences were observed among the viral types or genogroup categories. However, it is important to clarify that this estimate should be taken with caution given the high heterogeneity. There was no discernible correlation between viral prevalence and any particular berry type. However, there was a temporal correlation observed with the year of sampling, revealing a significantly decreasing trend throughout the study period. A significant influence of the sample condition (fresh or frozen) was observed in relation to the prevalence of NoV GII and HAV. Overall higher viral prevalences were identified in berries originating from African countries as compared to those sourced from other continents. It was also noted that the prevalence of NoV GI was significantly higher in samples collected directly from farms compared to those obtained from retailers. The outcomes of this comprehensive meta-analysis propose that while viral contamination of berries is diminishing in more recent times, the prevalence remains substantial in certain African countries, having a significant risk for foodborne infections. It is imperative to implement intervention strategies in these regions to enhance product safety.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceInternational Journal of Food Microbiology 413 : 110577. (March 2024)es_AR
dc.subjectBayases_AR
dc.subjectSoft Fruitseng
dc.subjectVirus de las Plantases_AR
dc.subjectPlant Viruseseng
dc.subjectNoroviruseng
dc.subjectHepatitiseng
dc.subjectEnfermedades Transmitidas por Alimentoses_AR
dc.subjectFoodborne Diseaseseng
dc.subject.otherBerrieseng
dc.titleMeta-analysis of the prevalence of norovirus and hepatitis a virus in berrieses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Rafaelaes_AR
dc.description.filFil: Miotti, Camila. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea (IDICAL); Argentinaes_AR
dc.description.filFil: Miotti, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación de la Cadena Láctea (IDICAL); Argentinaes_AR
dc.description.filFil: Signorini Porchiett, Marcelo Lisandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea (IDICaL); Argentinaes_AR
dc.description.filFil: Signorini Porchiett, Marcelo Lisandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación de la Cadena Láctea (IDICAL); Argentinaes_AR
dc.description.filFil: Oteiza, Juan Martín. Centro de Investigación y Asistencia Técnica a la Industria. Laboratorio de Microbiología de los Alimentos (Neuquén); Argentinaes_AR
dc.description.filFil: Oteiza, Juan Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Prez, Verónica Emilse. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filUniversidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología “Dr. J. M. Vanella”. Laboratorio de Gastroenteritis Virales; Argentinaes_AR
dc.description.filFil: Barril, Patricia Angélica. Centro de Investigación y Asistencia Técnica a la Industria. Laboratorio de Microbiología de los Alimentos (Neuquén); Argentinaes_AR
dc.description.filFil: Barril, Patricia Angélica. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.subtypecientifico


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