Molecular epidemiology of SARS-CoV-2 variants in circulation in the state of Maranhão, Brazil.
Luis Artur Ferreira de SousaLucas Salomão de Sousa FerreiraLuis Felipe Lima LobatoHivylla Lorrana Dos Santos FerreiraLucas Henrique Dos Santos SousaValdenice Ferreira Dos SantosPaulo Ricardo Silva NunesCarlos Eduardo Campos MaramaldoSebastião Silveira NetoHellen Lobato SampaioFabiano Vieira da SilvaMarcelo da Costa BritoWashington Kleber Rodrigues LimaClaudia Zeneida Gomes Parente Alves LimaLidio Gonçalves Lima NetoPublished in: Journal of medical virology (2023)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a coronavirus belonging to the beta CoV genus, responsible for SARS in humans, which became known as COVID-19. The emergence of variants of this virus is related to the presence of cases of reinfection, reduced vaccine effectiveness and greater transmission of the virus. Objective: In this study, we evaluated the molecular epidemiology of SARS-CoV-2 lineages circulating in the state of Maranhão. This is a cross-sectional and retrospective epidemiological study of genomic surveillance of SARS-CoV-2. The study comprised of 338 genomes sequenced by the Next Generation Sequencing technique on Illumina's Miseq equipment, submitted to Global Initiative on Sharing Avian Influenza Data, 190 (56.2%) are from samples of female and 148 (43.8%) from male patients. Sequencing performed covered samples of patients aged between 1 and 108 years, with emphasis on the age groups from 30 to 39 years with 15.0% of sequenced genomes and 20 to 29 years with 12.4%. As for the distribution of sequenced genomes by health macro-regions, 285 (84.3%) are from cities in the northern macro-region. We evidenced the circulation of 29 lineages and sub-lineages, four of which belonging to the Delta variant (AY.43, AY.99.1, AY.99.2 and AY.101 responsible for 4.5% of the genomes) and the others belonging to the Omicron variant, with emphasis on: BA.1 and sub-lineages (42.8%); BA.4, BA.5 and sub-lineages (5.3% and 41.1%); the sub-lineages DL.1 and BQ.1 (5% and 2%). A strong genomic surveillance system allows the study of the natural history of the disease, when there is a resurgence of SARS-CoV-2 cases.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- copy number
- public health
- coronavirus disease
- newly diagnosed
- end stage renal disease
- ejection fraction
- healthcare
- randomized controlled trial
- mental health
- risk assessment
- electronic health record
- dna methylation
- patient reported outcomes
- deep learning
- machine learning
- big data
- cross sectional
- single cell
- quality improvement
- data analysis