Analysis of the prevalence, spread, and mutation patterns of SARS-CoV-2 variants: data from COVID-19 testing expansion strategy study in salvador, Northeast Brazil
Year: 2025
Type: article
Study design: Observational Study
Abstract: This study investigated the prevalence and genomic epidemiology of SARS-CoV-2 variants as part of the TQT-COVID-19 Project, which aimed to expand COVID-19 testing, quarantine, and telemonitoring strategies. A total of 177 samples were analyzed between July 2022 and April 2023 from patients of 17 Primary Health Care (PHC) units in Salvador, Bahia, Brazil. Sequencing was done using Oxford Nanopore MinION technology and bioinformatics analysis for variant typing and phylodynamic spread assessment. Most participants were women (68.5%), under 39 years old (48.9%), used public transportation (66.4%), had no comorbidities (66.1%), presented mild COVID-19 symptoms (40.8%), and had received a second booster dose of a COVID-19 vaccine (88.2%). Nevertheless, 11.8% had never received a COVID-19 vaccine. The most prevalent Omicron subvariants were BA.5 (32.6%), BA.4 (21.7%), B (18.8%), and BQ.1 (26.3%), with other variants like XBB also identified. Vaccinated and unvaccinated individuals had different spike gene mutations. While multiple variant introductions occurred over time, SARS-CoV-2 geographic spread was mainly localized, with occasional rapid spread associated with inter-city travel or containment failures. These findings underscore the need to track viral spread and mutations to develop targeted strategies for breaking transmission chains.
Source: Scientific Reports
Authors: Anna Carolina Saúde Dantas, Hellen Braga Martins Oliveira, Taiana Tainá Silva Pereira, Amanda Ferreira Lima, Leonardo Silva Santos, Janaina Marinho Fernandes Matos, Thaís Aranha, Laio Magno, Fabiane Soares, Inês Dourado, Thiago S. Torres, Valdiléa Gonçalves Veloso, Orlando da Costa Ferreira Junior, Laise de Moraes, Luciane Amorim Santos, Danielle Souto de Medeiros, Fernanda Khouri Barreto, Leandro Martins de Freitas, Ana Marcia de Sá Guimarães, Guilherme Barreto Campos, Lucas Miranda Marques
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,690
Awards: G29316538, G3782254418
OpenAlex ID: W4413811309