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

Raimundo da Silva

doi:10.1590/SciELOPreprints.798

Preprint / Version 2

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

##article.authors##

Raimundo da Silva UFPA https://orcid.org/0000-0002-3003-7272

DOI:

https://doi.org/10.1590/SciELOPreprints.798

Keywords:

SARS-CoV-2, bayesian skyline, birth-death skyline

Abstract

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 R_e to 1.17 (occurred around mid-March). R_e = 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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Posted

06/22/2020 — Updated on 07/28/2020

Versions

07/28/2020 (2)
06/22/2020 (1)

How to Cite

Estimates of effective reproduction number of SARS‐CoV‐2 in Brazil using phylodynamic analysis. (2020). In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.798 (Original work published 2020)