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Slavov, S. N.

Publications and source records attributed to Slavov, S. N..

2 recordsLinked to original sources

Unraveling Dengue Serotype 3 Transmission in Brazil: Evidence for Multiple Introductions of the 3III_B.3.2 Lineage

Dengue, caused by DENV 1-4, remains a global public health concern, with Brazil experiencing some of the largest epidemics. The reemergence of DENV-3 in Brazil between 2023 and 2024 has raised concerns about new outbreaks due to the absence of sustained circulation of this serotype in recent years. This study investigates the dynamics of DENV-3 in Brazil, focusing on the spread of the 3III_B.3.2 lineage within genotype 3III and its introduction routes. We analyzed 1,536 DENV-3 genomes, all classified as genotype 3III, the dominant DENV-3 genotype in Brazil since 2001. Phylogenetic analysis identified the 3III_B.3.2 lineage in all recent Brazilian cases, with detections also reported in Central America, the United States, and Europe. At least six independent introduction events of this lineage into Brazil were identified, with the Caribbean region and Costa Rica as the primary sources. The earliest introduction likely occurred in late 2022 in Roraima, followed by introductions in Sao Paulo, Minas Gerais, and Para. While one instance of interstate transmission was detected -- from Sao Paulo to Minas Gerais -- our findings indicate that external introductions, rather than domestic spread, were the primary drivers of DENV-3 circulation during this period. These results underscore the importance of continued genomic surveillance and coordinated public health strategies to monitor and mitigate future outbreaks.

bioinformatics↗

Proposing a Systematic Lineage Classification Below the Genotype Level for Dengue Serotypes 1 and 2

Dengue virus (DENV), a mosquito-borne flavivirus, is causing a significant outbreak in Brazil. The recent surge in complete DENV genome sequences necessitates a standardized classification system for an improved understanding of viral dynamics and transmission patterns. Traditionally, DENV classification relies on serotypes and genotypes but lacks a consensus for sub-genotype classification. This hinders comprehensive analyses of viral diversity. We address this gap by proposing a novel lineage classification system for DENV using a semi-automatic workflow, leveraging the use of complete genome sequences to classify and re-evaluate DENV genetic diversity. This system offers a more granular classification scheme compared to current methods. The proposed hierarchical nomenclature, incorporating serotype, genotype, subgenotype, lineage, and sublineage, facilitates precise tracking of viral introductions and evolutionary events. This information might have crucial implications for public health interventions, enabling more targeted control strategies and improved monitoring of vaccine effectiveness during future outbreaks.

bioinformatics↗