Estimates of effective reproduction number of SARS‐CoV‐2 in Brazil using phylodynamic analysis

Detalhes bibliográficos
Autor(a) principal: Silva, Raimundo da
Data de Publicação: 2020
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/798
Resumo: The estimation of epidemiological parameters (e.g., R0) is an important aspect to mitigate the effects of infectious diseases. With the development of phylodynamic approaches, now it’s possible estimating of epidemiological parameters directly from phylogenetic trees. Here, phylodynamic approaches are used to infer epidemiological parameters from Brazilian SARS-CoV-2 genomes. This study reports a decrease in Re to 1.17 (occurred around mid-March). Re = 1.17 is a value similar to previous reports of R using classical epidemiological approaches and shows evidence of the growth of SARS-CoV-2 in Brazil.
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spelling Estimates of effective reproduction number of SARS‐CoV‐2 in Brazil using phylodynamic analysisPhylodynamicsSkylineSARS-CoV-2SARS-CoV-2bayesian skylinebirth-death skylineThe estimation of epidemiological parameters (e.g., R0) is an important aspect to mitigate the effects of infectious diseases. With the development of phylodynamic approaches, now it’s possible estimating of epidemiological parameters directly from phylogenetic trees. Here, phylodynamic approaches are used to infer epidemiological parameters from Brazilian SARS-CoV-2 genomes. This study reports a decrease in Re to 1.17 (occurred around mid-March). Re = 1.17 is a value similar to previous reports of R using classical epidemiological approaches and shows evidence of the growth of SARS-CoV-2 in Brazil.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-07-28info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/79810.1590/SciELOPreprints.798porhttps://preprints.scielo.org/index.php/scielo/article/view/798/1463Copyright (c) 2020 Raimundo da Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Raimundo dareponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-06-17T14:12:29Zoai:ops.preprints.scielo.org:preprint/798Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-06-17T14:12:29SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Estimates of effective reproduction number of SARS‐CoV‐2 in Brazil using phylodynamic analysis
title Estimates of effective reproduction number of SARS‐CoV‐2 in Brazil using phylodynamic analysis
spellingShingle Estimates of effective reproduction number of SARS‐CoV‐2 in Brazil using phylodynamic analysis
Silva, Raimundo da
Phylodynamics
Skyline
SARS-CoV-2
SARS-CoV-2
bayesian skyline
birth-death skyline
title_short Estimates of effective reproduction number of SARS‐CoV‐2 in Brazil using phylodynamic analysis
title_full Estimates of effective reproduction number of SARS‐CoV‐2 in Brazil using phylodynamic analysis
title_fullStr Estimates of effective reproduction number of SARS‐CoV‐2 in Brazil using phylodynamic analysis
title_full_unstemmed Estimates of effective reproduction number of SARS‐CoV‐2 in Brazil using phylodynamic analysis
title_sort Estimates of effective reproduction number of SARS‐CoV‐2 in Brazil using phylodynamic analysis
author Silva, Raimundo da
author_facet Silva, Raimundo da
author_role author
dc.contributor.author.fl_str_mv Silva, Raimundo da
dc.subject.por.fl_str_mv Phylodynamics
Skyline
SARS-CoV-2
SARS-CoV-2
bayesian skyline
birth-death skyline
topic Phylodynamics
Skyline
SARS-CoV-2
SARS-CoV-2
bayesian skyline
birth-death skyline
description The estimation of epidemiological parameters (e.g., R0) is an important aspect to mitigate the effects of infectious diseases. With the development of phylodynamic approaches, now it’s possible estimating of epidemiological parameters directly from phylogenetic trees. Here, phylodynamic approaches are used to infer epidemiological parameters from Brazilian SARS-CoV-2 genomes. This study reports a decrease in Re to 1.17 (occurred around mid-March). Re = 1.17 is a value similar to previous reports of R using classical epidemiological approaches and shows evidence of the growth of SARS-CoV-2 in Brazil.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-28
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/798
10.1590/SciELOPreprints.798
url https://preprints.scielo.org/index.php/scielo/preprint/view/798
identifier_str_mv 10.1590/SciELOPreprints.798
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/798/1463
dc.rights.driver.fl_str_mv Copyright (c) 2020 Raimundo da Silva
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Raimundo da Silva
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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