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Analecta Veterinaria
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Analecta Veterinaria
Article . 2020
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Resultados del primer bimestre de trabajo de la unidad de diagnóstico COVID-19 de la Facultad de Ciencias Veterinarias-UNLP

Authors: Gastón Andrés Moré; Carlos Javier Panei; Nadia Analía Fuentealba; Carolina Gabriela Aspitia; María Emilia Bravi; Javier Origlia; Magdalena Rambeaud; +5 Authors

Resultados del primer bimestre de trabajo de la unidad de diagnóstico COVID-19 de la Facultad de Ciencias Veterinarias-UNLP

Abstract

La pandemia de la COVID-19 planteó el rápido diseño y aprobación excepcional de diversos métodos de diagnóstico. En la unidad de diagnóstico COVID- 19 de la FCV-UNLP, se realizó el diagnóstico molecular de la presencia de SARS-CoV-2 en 1114 hisopados de pacientes derivados por el Ministerio de Salud de la Provincia de Buenos Aires. Las muestras de ARN fueron purificadas en cabina de seguridad y se analizaron mediante real time RT-PCR con el kit GeneFinder? para tres targets virales (N, E y RdRp). De 1110 muestras con reacción al control interno, 458 (41,2%) fueron reactivas, 26,9% a tres targets virales, 4,2% a dos y cerca del 10% a uno (principalmente N). El porcentaje de positividad fue similar en el tiempo, aunque la cantidad fue mayor en julio (781 muestras; 315 reactivas) respecto a junio (333 muestras; 143 reactivas). Las muestras de Berisso, Ensenada y La Plata presentaron un porcentaje de positividad significativamente menor al de los demás municipios (27,6% vs. 60,7%). Las muestras de pacientes con tres o más signos relevantes presentaron una mayor positividad (55,6%) y menor reactividad a un único target. Es necesaria la validación interlaboratorios y la estandarización de los métodos para brindar resultados confiables y reproducibles. The COVID-19 pandemic required rapid development and approval of diagnostic methods and kits. Nasal swab samples (n=1114) were derived to Faculty of Veterinary Sciences- UNLP COVID-19 diagnostic unit by the Buenos Aires Province Ministry of Health during June and July 2020, to perform molecular diagnosis of SARS- CoV-2. Samples of RNA were purified in a type II biosafety cabin and analyzed by real time RT-PCR with the GeneFinder™ kit, which amplifies 3 viral target genes (N, E y RdRp). Of the 1110 samples with positive internal control, 458 (41.2%) were positive (26.9% to all target genes, 4.2% to 2 target genes and almost 10% to one gene, mainlyN).Percentageofpositive samples remained similar throughout the study period, although the sample number was higher in July (781 samples; 315 positive) compared to June (333 samples; 143 positive). Samples from Berisso, Ensenada and La Plata had significantly lower positive rate than those coming from other counties (27.6% versus 60.7%, respectively). Positivity rate was higher in samples from patients with ≥3 clinical signs (55.6%). It is necessary to conduct inter-laboratory validation studies and standardization of diagnostic methods used in order to obtain reliable and reproducible results. Fil: Moré, Gastón Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Departamento de Epizootiología y Salud Pública. Laboratorio de Inmunoparasitología; Argentina Fil: Panei, Carlos Javier. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina Fil: Fuentealba, Nadia Analia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina Fil: Aspitia, Carolina Gabriela. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina Fil: Bravi, Maria Emilia. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina Fil: Origlia, Javier Anibal. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina Fil: Rambeaud, Magdalena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina Fil: Tizzano, Marco Antonio. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina Fil: Rudd Garces, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina Fil: Golijow, Carlos Daniel. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina Fil: Unzaga, Juan Manuel. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina Fil: Pecoraro, Marcelo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias; Argentina

Country
Argentina
Subjects by Vocabulary

Microsoft Academic Graph classification: Physics Coronavirus disease 2019 (COVID-19) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Humanities

Library of Congress Subject Headings: lcsh:Veterinary medicine lcsh:SF600-1100 lcsh:Animal culture lcsh:SF1-1100

Keywords

ARGENTINA, CIENCIAS MÉDICAS Y DE LA SALUD, GEN N, SARS-CoV-2, GeneFinder™, Argentina, Ciencias de la Salud, COVID-19, Salud Pública y Medioambiental, SARS-COV-2, General Medicine, GENEFINDER TM, //purl.org/becyt/ford/3.3 [https], //purl.org/becyt/ford/3 [https], gen N

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
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