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dc.date.accessioned 2022-05-10T14:54:57Z
dc.date.available 2022-05-10T14:54:57Z
dc.date.issued 2021-07-22
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/136006
dc.description.abstract Molecular surveillance of SARS-CoV-2 variants was performed on a total of 2,406 samples from the capital city and nine provinces of Argentina, during 30 epidemiological weeks (EW) that covered the end of the first wave and the beginning of the ongoing second wave of the COVID-19 pandemic in the country (EW 44/2020 to EW 20/2021). The surveillance strategy was mainly based on Sanger sequencing of a Spike coding region that allows the simultaneous identification of signature mutations associated with worldwide circulating variants. In addition, whole SARS-CoV-2 genome sequences were obtained from 456 samples. The main variants found were Gamma, Lambda and Alpha, and to a lesser extent, Zeta and Epsilon. Whereas Gamma dominated in different regions of the country, both Gamma and Lambda prevailed in the most populated area, the metropolitan region of Buenos Aires (MABA), although showing a heterogeneous distribution along this region. This cost-effective surveillance protocol allowed for a rapid response in a limited access to resources scenario, added information on the expansion of the Lambda variant in South America and contributed to the implementation of public health measures to control the disease spread in Argentina. en
dc.language es es
dc.subject SARS-CoV-2 es
dc.subject variants es
dc.subject South America es
dc.subject Argentina es
dc.subject Surveillance es
dc.subject Spike sequence es
dc.title Surveillance of SARS-CoV-2 variants in Argentina: detection of Alpha, Gamma, Lambda, Epsilon and Zeta in locally transmitted and imported cases en
dc.type Articulo es
sedici.identifier.other doi:10.1101/2021.07.19.21260779 es
sedici.creator.person Angelletti, Andrés es
sedici.creator.person Cordero, Andrés Ignacio es
sedici.creator.person Toro, Rosana es
sedici.description.note La lista completa de autores puede verse en el archivo asociado. es
sedici.subject.materias Ciencias Médicas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Exactas es
sedici.subtype Preprint es
sedici.rights.license Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
sedici.description.peerReview non-peer-review es
sedici.relation.journalTitle BioRxiv es


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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)