Evidence map›Paper›PMID 34016042›Full record

ArticleBMC genomics2021

Genomic epidemiology of SARS-CoV-2 in Esteio, Rio Grande do Sul, Brazil.

Vinícius Bonetti Franceschi, Gabriel Dickin Caldana, Amanda de Menezes Mayer, Gabriela Bettella Cybis, Carla Andretta Moreira Neves, Patrícia Aline Gröhs Ferrareze, Meriane Demoliner, Paula Rodrigues de Almeida, Juliana Schons Gularte, Alana Witt Hansen and 6 more

Abstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  18. Reinfection cases by closely related SARS-CoV-2 lineages in Southern Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
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  19. Review
  20. SARS-CoV-2 introduction and lineage dynamics across three epidemic peaks in Southern Brazil: massive spread of P.1.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Vinícius Bonetti FranceschiCenter of Biotechnology, Graduate Program in Cell and Molecular Biology (PPGBCM), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
Gabriel Dickin CaldanaGraduate Program in Health Sciences, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, RS, Brazil.
Amanda de Menezes MayerCenter of Biotechnology, Graduate Program in Cell and Molecular Biology (PPGBCM), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
Gabriela Bettella CybisDepartment of Statistics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
Carla Andretta Moreira NevesGraduate Program in Health Sciences, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, RS, Brazil.
Patrícia Aline Gröhs FerrarezeGraduate Program in Health Sciences, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, RS, Brazil.
Meriane DemolinerMolecular Microbiology Laboratory, Universidade Feevale, Novo Hamburgo, RS, Brazil.
Paula Rodrigues de AlmeidaMolecular Microbiology Laboratory, Universidade Feevale, Novo Hamburgo, RS, Brazil.
Juliana Schons GularteMolecular Microbiology Laboratory, Universidade Feevale, Novo Hamburgo, RS, Brazil.
Alana Witt HansenMolecular Microbiology Laboratory, Universidade Feevale, Novo Hamburgo, RS, Brazil.
Matheus Nunes WeberMolecular Microbiology Laboratory, Universidade Feevale, Novo Hamburgo, RS, Brazil.
Juliane Deise FleckMolecular Microbiology Laboratory, Universidade Feevale, Novo Hamburgo, RS, Brazil.
Ricardo Ariel ZimermanIrmandade Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, RS, Brazil.
Lívia KmetzschCenter of Biotechnology, Graduate Program in Cell and Molecular Biology (PPGBCM), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
Fernando Rosado SpilkiMolecular Microbiology Laboratory, Universidade Feevale, Novo Hamburgo, RS, Brazil.
Claudia Elizabeth ThompsonCenter of Biotechnology, Graduate Program in Cell and Molecular Biology (PPGBCM), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil. cthompson@ufcspa.edu.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrazil is the third country most affected by Coronavirus disease-2019 (COVID-19), but viral evolution in municipality resolution is still poorly understood in Brazil and it is crucial to understand the epidemiology of viral spread. We aimed to track molecular evolution and spread of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Esteio (Southern Brazil) using phylogenetics and phylodynamics inferences from 21 new genomes in global and regional context. Importantly, the case fatality rate (CFR) in Esteio (3.26%) is slightly higher compared to the Rio Grande do Sul (RS) state (2.56%) and the entire Brazil (2.74%).

resultsWe provided a comprehensive view of mutations from a representative sampling from May to October 2020, highlighting two frequent mutations in spike glycoprotein (D614G and V1176F), an emergent mutation (E484K) in spike Receptor Binding Domain (RBD) characteristic of the B.1.351 and P.1 lineages, and the adjacent replacement of 2 amino acids in Nucleocapsid phosphoprotein (R203K and G204R). E484K was found in two genomes from mid-October, which is the earliest description of this mutation in Southern Brazil. Lineages containing this substitution must be subject of intense surveillance due to its association with immune evasion. We also found two epidemiologically-related clusters, including one from patients of the same neighborhood. Phylogenetics and phylodynamics analysis demonstrates multiple introductions of the Brazilian most prevalent lineages (B.1.1.33 and B.1.1.248) and the establishment of Brazilian lineages ignited from the Southeast to other Brazilian regions.

conclusionsOur data show the value of correlating clinical, epidemiological and genomic information for the understanding of viral evolution and its spatial distribution over time. This is of paramount importance to better inform policy making strategies to fight COVID-19.

Indexed as

COVID-19SARS-CoV-2BrazilGenome, ViralGenomicsHumansCOVID-19Infectious diseasesMolecular epidemiologySequencingSevere acute respiratory syndrome coronavirus 2

Identifiers

PMID34016042
PMCPMC8136996

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.