Evidence map›Paper›PMID 37965526›Full record

ArticleFrontiers in public health2023

Genomic characterization of SARS-CoV-2 from an indigenous reserve in Mato Grosso do Sul, Brazil.

Laís Albuquerque de Oliveira, Izabela Mauricio de Rezende, Vinicius João Navarini, Silvana Beutinger Marchioro, Alex José Leite Torres, Julio Croda, Mariana Garcia Croda, Crhistinne Cavalheiro Maymone Gonçalves, Joilson Xavier, Emerson de Castro and 12 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 46% of its field
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 10 institutions in 3 countries.

Laís Albuquerque de OliveiraHealth Sciences Research Laboratory, Federal University of Grande Dourados, Dourados, Mato Grosso do Sul, Brazil.
Izabela Mauricio de RezendeStanford Pandemic Preparedness Hub, Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Vinicius João NavariniHealth Sciences Research Laboratory, Federal University of Grande Dourados, Dourados, Mato Grosso do Sul, Brazil.
Silvana Beutinger MarchioroLaboratory of Immunology and Molecular Biology, Institute of Health Sciences, Federal University of Bahia, Salvador, Bahia, Brazil.
Alex José Leite TorresLaboratory of Immunology and Molecular Biology, Institute of Health Sciences, Federal University of Bahia, Salvador, Bahia, Brazil.
Julio CrodaOswaldo Cruz Foundation, Campo Grande, Mato Grosso do Sul, Brazil.
Mariana Garcia CrodaFaculdade de Medicina (FAMED), Universidade Federal do Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.
Crhistinne Cavalheiro Maymone GonçalvesSchool of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.
Joilson XavierFederal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Emerson de CastroEzequiel Dias Foundation (FUNED), Belo Horizonte, Minas Gerais, Brazil.
Mauricio LimaEzequiel Dias Foundation (FUNED), Belo Horizonte, Minas Gerais, Brazil.
Felipe IaniEzequiel Dias Foundation (FUNED), Belo Horizonte, Minas Gerais, Brazil.
Talita AdelinoEzequiel Dias Foundation (FUNED), Belo Horizonte, Minas Gerais, Brazil.
Flávia AburjailePreventive Veterinary Medicine Departament, Veterinary School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Luiz Henrique Ferraz DemarchiCentral Public Health Laboratory (Lacen), Campo Grande, Mato Grosso do Sul, Brazil.
Deborah Ledesma TairaState Secretariat of Health of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.
Marina Castilhos Souza Umaki ZardinCentral Public Health Laboratory (Lacen), Campo Grande, Mato Grosso do Sul, Brazil.
Vagner FonsecaPan American Health Organization - PAHO, Brasília, Distrito Federal, Brazil.
Marta GiovanettiRene Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Minas Gerais, Brazil.
Jason AndrewsStanford Pandemic Preparedness Hub, Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Luiz Carlos Junior AlcantaraRene Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Minas Gerais, Brazil.
Simone SimionattoHealth Sciences Research Laboratory, Federal University of Grande Dourados, Dourados, Mato Grosso do Sul, Brazil.
Ezequiel Dias Foundation · BRUniversidade Federal da Grande Dourados · BRStanford University · USUniversidade Federal da Bahia · BRUniversidade Federal de Mato Grosso do Sul · BRUniversidade Federal de Minas Gerais · BRFundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul · BRPan American Health Organization (Brasil) · BRUniversidade do Estado do Rio de Janeiro · BRUniversità Campus Bio-Medico · IT

Funding

University of Washington Arboviral Research Network (UWARN)U01AI151698 · NIAID · UNIVERSITY OF WASHINGTON · PI Michael Gale, PETER MACGARR RABINOWITZ · 2020 to 2026
$13.3M
NIAID NIH HHS U01 AI151698World Health Organization 001
6 · The paper itself

Abstract

Background: The COVID-19 pandemic had a major impact on indigenous populations. Understanding the viral dynamics within this population is essential to create targeted protection measures. Methods: A total of 204 SARS-CoV-2 positive samples collected between May 2020 and November 2021 from an indigenous area in Mato Grosso do Sul (MS), Midwestern Brazil, were screened. Samples were submitted to whole genome sequencing using the Nanopore sequencing platform. Clinical, demographic, and phylogenetic data were analyzed. Results: We found the co-circulation of six main SARS-CoV-2 lineages in the indigenous population, with the Zeta lineage being the most prevalent (27.66%), followed by B.1.1 (an ancestral strain) (20.21%), Gamma (14.36%) and Delta (13.83%). Other lineages represent 45.74% of the total. Our phylogenetic reconstruction indicates that multiple introduction events of different SARS-CoV-2 lineages occurred in the indigenous villages in MS. The estimated indigenous population mortality rate was 1.47%. Regarding the ethnicity of our cohort, 64.82% belong to the Guarani ethnicity, while 33.16% belong to the Terena ethnicity, with a slightly higher prevalence of males (53.43%) among females. Other ethnicities represent 2.01%. We also observed that almost all patients (89.55%) presented signs and symptoms related to COVID-19, being the most prevalent cough, fever, sore throat, and headache. Discussion: Our results revealed that multiple independent SARS-CoV-2 introduction events had occurred through time, probably due to indigenous mobility, since the villages studied here are close to urban areas in MS. The mortality rate was slightly below of the estimation for the state in the period studied, which we believe could be related to the small number of samples evaluated, the underreporting of cases and deaths among this population, and the inconsistency of secondary data available for this study. Conclusion: In this study, we showed the circulation of multiple SARS-CoV-2 variants in this population, which should be isolated and protected as they belong to the most fragile group due to their socioeconomic and cultural disparities. We reinforce the need for constant genomic surveillance to monitor and prevent the spread of new emerging viruses and to better understand the viral dynamics in these populations, making it possible to direct specific actions.

Indexed as

COVID-19SARS-CoV-2BrazilFemaleGenomicsHumansMalePandemicsPhylogenyCOVID-19indigenous populationpandemicSARS-CoV-2VOCVoI

Identifiers

PMID37965526
PMCPMC10641392
OpenAlexW4387974629

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.