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Evolution and epidemic spread of SARS-CoV-2 in Brazil.

Darlan da Silva Candido, +85 more
- 23 Jul 2020 - 
- Vol. 369, Iss: 6508, pp 1255-1260
TLDR
New light is shed on the epidemic transmission and evolutionary trajectories of SARS-CoV-2 lineages in Brazil and evidence that current interventions remain insufficient to keep virus transmission under control in this country is provided.
Abstract
Brazil currently has one of the fastest-growing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemics in the world. Because of limited available data, assessments of the impact of nonpharmaceutical interventions (NPIs) on this virus spread remain challenging. Using a mobility-driven transmission model, we show that NPIs reduced the reproduction number from >3 to 1 to 1.6 in Sao Paulo and Rio de Janeiro. Sequencing of 427 new genomes and analysis of a geographically representative genomic dataset identified >100 international virus introductions in Brazil. We estimate that most (76%) of the Brazilian strains fell in three clades that were introduced from Europe between 22 February and 11 March 2020. During the early epidemic phase, we found that SARS-CoV-2 spread mostly locally and within state borders. After this period, despite sharp decreases in air travel, we estimated multiple exportations from large urban centers that coincided with a 25% increase in average traveled distances in national flights. This study sheds new light on the epidemic transmission and evolutionary trajectories of SARS-CoV-2 lineages in Brazil and provides evidence that current interventions remain insufficient to keep virus transmission under control in this country.

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Citations
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Journal ArticleDOI

Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil.

Nuno R. Faria, +74 more
- 21 May 2021 - 
TL;DR: In this article, the authors used a two-category dynamical model that integrates genomic and mortality data to estimate that P.1 may be 1.7-to 2.4-fold more transmissible and that previous (non-P.1) infection provides 54 to 79% of the protection against infection with P.
Journal ArticleDOI

The biological and clinical significance of emerging SARS-CoV-2 variants.

TL;DR: The emergence of SARS-CoV-2 variants with novel spike protein mutations that are influencing the epidemiological and clinical aspects of the COVID-19 pandemic has been witnessed as mentioned in this paper.
Journal ArticleDOI

COVID-19 and the human innate immune system.

TL;DR: In this article, a conceptual framework for the interaction of the human innate immune system with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was provided to link the clinical observations with experimental findings that have been made during the first year of the pandemic.
References
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TL;DR: SAMtools as discussed by the authors implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments.
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A new coronavirus associated with human respiratory disease in China.

TL;DR: Phylogenetic and metagenomic analyses of the complete viral genome of a new coronavirus from the family Coronaviridae reveal that the virus is closely related to a group of SARS-like coronaviruses found in bats in China.
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Dating of the human-ape splitting by a molecular clock of mitochondrial DNA.

TL;DR: A new statistical method for estimating divergence dates of species from DNA sequence data by a molecular clock approach is developed, and this dating may pose a problem for the widely believed hypothesis that the bipedal creatureAustralopithecus afarensis, which lived some 3.7 million years ago, was ancestral to man and evolved after the human-ape splitting.
Journal ArticleDOI

Application of Phylogenetic Networks in Evolutionary Studies

TL;DR: This article reviews the terminology used for phylogenetic networks and covers both split networks and reticulate networks, how they are defined, and how they can be interpreted and outlines the beginnings of a comprehensive statistical framework for applying split network methods.
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