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The increase in SARS-CoV-2 lineages during 2020-2022 in a state in the Brazilian Northeast is associated with a number of cases.
Freitas, Moises Thiago de Souza; Sena, Ludmila Oliveira Carvalho; Fukutani, Kiyoshi Ferreira; Dos Santos, Cliomar Alves; Neto, Francisco das Chagas Barros; Ribeiro, Julienne Sousa; Dos Reis, Erica Santos; Balbino, Valdir de Queiroz; de Sá Paiva Leitão, Sérgio; de Aragão Batista, Marcus Vinicius; Lipscomb, Michael Wheeler; de Moura, Tatiana Rodrigues.
Afiliação
  • Freitas MTS; Health Sciences Graduate Program, Federal University of Sergipe, Aracaju, Brazil.
  • Sena LOC; Parasitic Biology Graduate Program, Federal University of Sergipe, São Cristóvão, Brazil.
  • Fukutani KF; Health Foundation Parreiras Horta, Central Laboratory of Public Health (LACEN/SE), Sergipe State Health Secretariat, Aracaju, Brazil.
  • Dos Santos CA; Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States.
  • Neto FDCB; Health Foundation Parreiras Horta, Central Laboratory of Public Health (LACEN/SE), Sergipe State Health Secretariat, Aracaju, Brazil.
  • Ribeiro JS; Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Brazil.
  • Dos Reis ES; Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Brazil.
  • Balbino VQ; Health Sciences Graduate Program, Federal University of Sergipe, Aracaju, Brazil.
  • de Sá Paiva Leitão S; Department of Genetics, Federal University of Pernambuco, Recife, Brazil.
  • de Aragão Batista MV; Academic Unit of Serra Talhada, Rural Federal University of Pernambuco, Serra Talhada, Brazil.
  • Lipscomb MW; Parasitic Biology Graduate Program, Federal University of Sergipe, São Cristóvão, Brazil.
  • de Moura TR; Department of Pharmacology, University of Minnesota, Minneapolis, MN, United States.
Front Public Health ; 11: 1222152, 2023.
Article em En | MEDLINE | ID: mdl-38186707
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Front Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Front Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça