Evidence map›Paper›PMID 40133656›Full record

ArticleScientific reports2025

Comparative spatial-temporal analysis of SARS-CoV-2 lineages B.1.1.33 and BQ.1.1 Omicron variant across pandemic phases.

Juliana Santa Ardisson, Mariane Vedovatti Monfardini Sagrillo, Brena Ramos Athaydes, Aura Marcela Corredor Vargas, Renata Torezani, Rodrigo Ribeiro-Rodrigues, Liliana Cruz Spano, Greiciane Gaburro Paneto, Edson Delatorre, Sandra Ventorin von Zeidler and 1 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Juliana Santa ArdissonPostgraduate Program in Biotechnology, Federal University of Espirito Santo, Vitoria, 29047-105, Brazil. juliana.ardisson@edu.ufes.br.
Mariane Vedovatti Monfardini SagrilloPostgraduate Program in Biotechnology, Federal University of Espirito Santo, Vitoria, 29047-105, Brazil.
Brena Ramos AthaydesPostgraduate Program in Biotechnology, Federal University of Espirito Santo, Vitoria, 29047-105, Brazil.
Aura Marcela Corredor VargasPostgraduate Program in Biotechnology, Federal University of Espirito Santo, Vitoria, 29047-105, Brazil.
Renata TorezaniPostgraduate Program in Biotechnology, Federal University of Espirito Santo, Vitoria, 29047-105, Brazil.
Rodrigo Ribeiro-RodriguesPostgraduate Program in Infectious Diseases, Federal University of Espirito Santo, Vitoria, 29047-105, Brazil.
Liliana Cruz SpanoPostgraduate Program in Infectious Diseases, Federal University of Espirito Santo, Vitoria, 29047-105, Brazil.
Greiciane Gaburro PanetoPostgraduate Program in Biotechnology, Federal University of Espirito Santo, Vitoria, 29047-105, Brazil.
Edson DelatorrePostgraduate Program in Infectious Diseases, Federal University of Espirito Santo, Vitoria, 29047-105, Brazil.
Sandra Ventorin von ZeidlerPostgraduate Program in Biotechnology, Federal University of Espirito Santo, Vitoria, 29047-105, Brazil.
Teodiano Freire Bastos FilhoPostgraduate Program in Biotechnology, Federal University of Espirito Santo, Vitoria, 29047-105, Brazil.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 692/2020Foundation for Research and Innovation Support of Espirito Santo (FAPES) 479/2021 AND 283/2020
6 · The paper itself

Abstract

The evolution of COVID-19 pandemic has been characterized by the rapid emergence of new SARS-CoV-2 variants, each of which poses unique challenges to public health. This study analyzes the dispersion profiles during the Pre-Omicron and Post-Omicron phases in different epidemiological contexts. The Brazilian state of Espirito Santo, despite its low population density, plays a critical role as a commercial hub due to its intense port activity, which may have contributed to COVID-19 cases and mortality rates being higher than the national average. The state recorded 34,000 confirmed cases and 377 deaths per 100,000 inhabitants. Genomic surveillance revealed that the Pre-Omicron phase was dominated by the B.1.1.33 lineage, characterized by localized intraregional circulation. In contrast, the Post-Omicron phase, dominated by the BQ.1.1 lineage, exhibited greater diversity in circulating lineages, increased international interactions, and rapid viral dissemination, highlighting distinct transmission dynamics between such periods. This study highlights the need for adaptive public health strategies that account for both viral behavior and regional socioeconomic factors, while highlighting the strategic importance of Espirito Santo in monitoring SARS-CoV-2 evolution.

Indexed as

COVID-19SARS-CoV-2BrazilHumansPandemicsPhylogenySpatio-Temporal AnalysisMolecular epidemiologyPhylogenetic analysisPost-OmicronPre-OmicronSARS-CoV-2Viral dispersion

Identifiers

PMID40133656
PMCPMC11937565

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.