Use of complete SARS-CoV-2 genomes to estimate the Rt in Peru during March – April 2020

Detalhes bibliográficos
Autor(a) principal: Romero, Pedro
Data de Publicação: 2020
Outros Autores: Sánchez-Yupari, Milagros, Montero, Stephanie, Tsukayama, Pablo
Tipo de documento: preprint
Idioma: eng
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/1230
Resumo: Understanding the current SARS-CoV-2 pandemics dynamics using a multidisciplinary approach is essential to improve evidence-based policies. In our study, we estimated the SARS-CoV-2 effective reproductive number (Rt) in Peru using information from 69 complete genomes sequenced by INS-Peru and available in the GISAID public database. The tendency of Rt within March and April 2020 was similar to independent epidemiological reports. The Rt value decreased (Rt<1) during the first weeks of the pandemics in Peru but increases (Rt>1) before the beginning of April. More genomic information from Peruvian samples, available in public databases, that also represent the broad geographic diversity of Peru will allow better estimations based on genetic data and will complement epidemiological information.
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spelling Use of complete SARS-CoV-2 genomes to estimate the Rt in Peru during March – April 2020SARS-CoV-2molecular evolutionmolecular epidemiologyeffective reproductive numberUnderstanding the current SARS-CoV-2 pandemics dynamics using a multidisciplinary approach is essential to improve evidence-based policies. In our study, we estimated the SARS-CoV-2 effective reproductive number (Rt) in Peru using information from 69 complete genomes sequenced by INS-Peru and available in the GISAID public database. The tendency of Rt within March and April 2020 was similar to independent epidemiological reports. The Rt value decreased (Rt<1) during the first weeks of the pandemics in Peru but increases (Rt>1) before the beginning of April. More genomic information from Peruvian samples, available in public databases, that also represent the broad geographic diversity of Peru will allow better estimations based on genetic data and will complement epidemiological information.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-09-21info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/123010.1590/SciELOPreprints.1230enghttps://preprints.scielo.org/index.php/scielo/article/view/1230/1885Copyright (c) 2020 Pedro Romero, Milagros Sánchez-Yupari, Stephanie Montero, Pablo Tsukayamahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRomero, PedroSánchez-Yupari, MilagrosMontero, StephanieTsukayama, Pabloreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-09-19T00:17:39Zoai:ops.preprints.scielo.org:preprint/1230Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-09-19T00:17:39SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Use of complete SARS-CoV-2 genomes to estimate the Rt in Peru during March – April 2020
title Use of complete SARS-CoV-2 genomes to estimate the Rt in Peru during March – April 2020
spellingShingle Use of complete SARS-CoV-2 genomes to estimate the Rt in Peru during March – April 2020
Romero, Pedro
SARS-CoV-2
molecular evolution
molecular epidemiology
effective reproductive number
title_short Use of complete SARS-CoV-2 genomes to estimate the Rt in Peru during March – April 2020
title_full Use of complete SARS-CoV-2 genomes to estimate the Rt in Peru during March – April 2020
title_fullStr Use of complete SARS-CoV-2 genomes to estimate the Rt in Peru during March – April 2020
title_full_unstemmed Use of complete SARS-CoV-2 genomes to estimate the Rt in Peru during March – April 2020
title_sort Use of complete SARS-CoV-2 genomes to estimate the Rt in Peru during March – April 2020
author Romero, Pedro
author_facet Romero, Pedro
Sánchez-Yupari, Milagros
Montero, Stephanie
Tsukayama, Pablo
author_role author
author2 Sánchez-Yupari, Milagros
Montero, Stephanie
Tsukayama, Pablo
author2_role author
author
author
dc.contributor.author.fl_str_mv Romero, Pedro
Sánchez-Yupari, Milagros
Montero, Stephanie
Tsukayama, Pablo
dc.subject.por.fl_str_mv SARS-CoV-2
molecular evolution
molecular epidemiology
effective reproductive number
topic SARS-CoV-2
molecular evolution
molecular epidemiology
effective reproductive number
description Understanding the current SARS-CoV-2 pandemics dynamics using a multidisciplinary approach is essential to improve evidence-based policies. In our study, we estimated the SARS-CoV-2 effective reproductive number (Rt) in Peru using information from 69 complete genomes sequenced by INS-Peru and available in the GISAID public database. The tendency of Rt within March and April 2020 was similar to independent epidemiological reports. The Rt value decreased (Rt<1) during the first weeks of the pandemics in Peru but increases (Rt>1) before the beginning of April. More genomic information from Peruvian samples, available in public databases, that also represent the broad geographic diversity of Peru will allow better estimations based on genetic data and will complement epidemiological information.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-21
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/1230
10.1590/SciELOPreprints.1230
url https://preprints.scielo.org/index.php/scielo/preprint/view/1230
identifier_str_mv 10.1590/SciELOPreprints.1230
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/1230/1885
dc.rights.driver.fl_str_mv Copyright (c) 2020 Pedro Romero, Milagros Sánchez-Yupari, Stephanie Montero, Pablo Tsukayama
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Pedro Romero, Milagros Sánchez-Yupari, Stephanie Montero, Pablo Tsukayama
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
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