Evidence map›Paper›PMID 39438927›Full record

Observational studyVirology journal2024

Influence of SARS-CoV-2 variants on COVID-19 epidemiological and clinical profiles: a comparative analysis of two waves of cases.

Pérola Rodrigues Dos Santos, Uener Ribeiro Dos Santos, Íris Terezinha Santos de Santana Silva, Hllytchaikra Ferraz Fehlberg, Fabrício Barbosa Ferreira, George Rego Albuquerque, Ana Paula Melo Mariano, Murillo Ferreira da Silva, Leonardo Santos Lemos, Karoline Almeida Piton and 5 more

Abstract readObservational StudyComparative Study
In one paragraph

Observational study in Virology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Socioecology and Prevalence of SARS-CoV-2 Infection in Quilombolas Living in the Brazilian Amazon.American journal of human biology : the official journal of the Human Biology Council · 2025
    Article
  2. Article
  3. 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

15 authors.

Pérola Rodrigues Dos SantosLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
Uener Ribeiro Dos SantosLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
Íris Terezinha Santos de Santana SilvaLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
Hllytchaikra Ferraz FehlbergLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
Fabrício Barbosa FerreiraLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
George Rego AlbuquerqueLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
Ana Paula Melo MarianoLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
Murillo Ferreira da SilvaLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
Leonardo Santos LemosLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
Karoline Almeida PitonLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
Mylene de Melo SilvaLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
Renato FontanaLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
Eric Roberto Guimarães Rocha AguiarDepartamento de Engenharias e Computação, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
Lauro Juliano MarinLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil.
Sandra Rocha GadelhaLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brasil. srgmello@uesc.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has been the most significant health challenge of the last century. Multiple and successive waves of COVID-19 cases, driven particularly by the emergence of new SARS-CoV-2 variants, have kept the world in a constant state of alert.

methodsWe present an observational, descriptive, cross-sectional study aimed at identifying SARS-CoV-2 variants circulating during two local waves of COVID-19 cases in southern Bahia, Brazil (late 2021 and late 2022), and analyzing the association between the detected variants and the epidemiological and clinical characteristics of the disease. For this purpose, data and nasopharyngeal samples from individuals in southern Bahia, Brazil, with suspected COVID-19 were included. Viral detection was performed by RT-qPCR, and SARS-CoV-2 variants were identified by next-generation viral sequencing.

resultsA total of 368 nasopharyngeal samples were tested. Approximately 23% of the samples from late 2021 tested positive for SARS-CoV-2, while in 2022, the positivity rate was about 56%. All sequenced samples from 2021 were identified as the Delta variant, while in 2022, all samples were classified as the Omicron variant. Overall, individuals who tested positive for SARS-CoV-2 in 2022 were younger than those who tested positive in 2021. Moreover, we observed significant differences in the clinical spectrum of SARS-CoV-2 infection when comparing the two periods. Individuals who presented with anosmia/ageusia were more likely to test positive for SARS-CoV-2 infection in 2021 but not in 2022. Additionally, fever, dry cough, pharyngalgia, headache, and rhinorrhea were more frequent among individuals infected with the Omicron variant than among those infected with the Delta variant.

conclusionsThe profile of COVID-19 in southern Bahia differed when analyzing two distinct waves of the pandemic in the region. These differences are likely related to the variants, which may differ in transmissibility and virulence, thereby altering the dynamics of the pandemic. This underscores the importance of genomic surveillance in better understanding the behavior of viral infections.

Indexed as

COVID-19MutationSARS-CoV-2AdolescentAdultAgedAged, 80 and overBrazilChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantMaleMiddle AgedCOVID-19Genomic surveillanceRT-qPCRSARS-CoV-2 variants

Identifiers

PMID39438927
PMCPMC11515746

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.