Evidence map›Paper›PMID 38186707›Full record

ArticleFrontiers in public health2023

The increase in SARS-CoV-2 lineages during 2020-2022 in a state in the Brazilian Northeast is associated with a number of cases.

Moises Thiago de Souza Freitas, Ludmila Oliveira Carvalho Sena, Kiyoshi Ferreira Fukutani, Cliomar Alves Dos Santos, Francisco das Chagas Barros Neto, Julienne Sousa Ribeiro, Erica Santos Dos Reis, Valdir de Queiroz Balbino, Sérgio de Sá Paiva Leitão, Marcus Vinicius de Aragão Batista and 2 more

Abstract 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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Moises Thiago de Souza FreitasHealth Sciences Graduate Program, Federal University of Sergipe, Aracaju, Brazil.
Ludmila Oliveira Carvalho SenaHealth Foundation Parreiras Horta, Central Laboratory of Public Health (LACEN/SE), Sergipe State Health Secretariat, Aracaju, Brazil.
Kiyoshi Ferreira FukutaniDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States.
Cliomar Alves Dos SantosHealth Foundation Parreiras Horta, Central Laboratory of Public Health (LACEN/SE), Sergipe State Health Secretariat, Aracaju, Brazil.
Francisco das Chagas Barros NetoCenter for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Brazil.
Julienne Sousa RibeiroCenter for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Brazil.
Erica Santos Dos ReisHealth Sciences Graduate Program, Federal University of Sergipe, Aracaju, Brazil.
Valdir de Queiroz BalbinoDepartment of Genetics, Federal University of Pernambuco, Recife, Brazil.
Sérgio de Sá Paiva LeitãoAcademic Unit of Serra Talhada, Rural Federal University of Pernambuco, Serra Talhada, Brazil.
Marcus Vinicius de Aragão BatistaParasitic Biology Graduate Program, Federal University of Sergipe, São Cristóvão, Brazil.
Michael Wheeler LipscombDepartment of Pharmacology, University of Minnesota, Minneapolis, MN, United States.
Tatiana Rodrigues de MouraHealth Sciences Graduate Program, Federal University of Sergipe, Aracaju, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 has caused a high number of deaths in several countries. In Brazil, there were 37 million confirmed cases of COVID-19 and 700,000 deaths caused by the disease. The population size and heterogeneity of the Brazilian population should be considered in epidemiological surveillance due to the varied tropism of the virus. As such, municipalities and states must be factored in for their unique specificities, such as socioeconomic conditions and population distribution. Here, we investigate the spatiotemporal dispersion of emerging SARS-CoV-2 lineages and their dynamics in each microregion from Sergipe state, northeastern Brazil, in the first 3 years of the pandemic. We analyzed 586 genomes sequenced between March 2020 and November 2022 extracted from the GISAID database. Phylogenetic analyses were carried out for each data set to reconstruct evolutionary history. Finally, the existence of a correlation between the number of lineages and infection cases by SARS-CoV-2 was evaluated. Aracaju, the largest city in northeastern Brazil, had the highest number of samples sequenced. This represented 54.6% (320) of the genomes, and consequently, the largest number of lineages identified. Studies also analyzed the relationship between mean lineage distributions and mean monthly infections, daily cases, daily deaths, and hospitalizations of vaccinated and unvaccinated patients. For this, a correlation matrix was created. Results revealed that the increase in the average number of SARS-CoV-2 variants was related to the average number of SARS-CoV-2 cases in both unvaccinated and vaccinated individuals. Thus, our data indicate that it is necessary to maintain epidemiological surveillance, especially in capital cities, since they have a high rate of circulation of resident and non-resident inhabitants, which contributes to the dynamics of the virus.

Indexed as

COVID-19SARS-CoV-2BrazilHumansPhylogenyepidemiologygenomic surveillancephylogenetic analysisSARS-CoV-2 genomesSergipe

Identifiers

PMID38186707
PMCPMC10771345

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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.