Evidence map›Paper›PMID 40143317›Full record

ArticleViruses2025

The Impact of the COVID-19 Pandemic on the Clinical and Epidemiological Profile of Severe Acute Respiratory Infection in Bahia, Brazil: A Comparative Analysis of Pre- and Post-Pandemic Trends.

Káriton Magalhães Bronze, Uener Ribeiro Dos Santos, Galileu Barbosa Costa, Anaiá da Paixão Sevá, Maíra Guimarães Kersul, Cathianne Sacramento Pinto, George Rego Albuquerque, Ana Paula Melo Mariano, Sandra Rocha Gadelha

Abstract readComparative Study
In one paragraph

Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

9 authors.

Káriton Magalhães BronzeLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Bahia, Brazil.
Uener Ribeiro Dos SantosFaculdade Ages de Medicina de Irecê, Colegiado de Ciências Biológicas e da Saúde, Rua Atacadão, Irecê 44900-000, Bahia, Brazil.ORCID 0000-0003-1193-5453
Galileu Barbosa CostaLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Bahia, Brazil.ORCID 0000-0001-7360-6722
Anaiá da Paixão SeváPrograma de Pós-Graduação em Ciência Animal (PPGCA), Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Bahia, Brazil.ORCID 0000-0001-5203-012X
Maíra Guimarães KersulPrograma de Pós-Graduação em Ciência Animal (PPGCA), Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Bahia, Brazil.ORCID 0000-0002-9671-3181
Cathianne Sacramento PintoSecretaria de Saúde do Estado da Bahia, Salvador 45652-050, Bahia, Brazil.
George Rego AlbuquerqueLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Bahia, Brazil.ORCID 0000-0002-0556-8856
Ana Paula Melo MarianoLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Bahia, Brazil.
Sandra Rocha GadelhaLaboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Bahia, Brazil.ORCID 0000-0002-3079-488X

Funding

Financiadora de Estudos e Projetos (FINEP) 0494/20Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB), Programa de Pesquisa para o SUS (PPSUS) 02/2020
6 · The paper itself

Abstract

In recent years, the incidence of Severe Acute Respiratory Infection (SARI) has increased due to the emergence of SARS-CoV-2. However, the impact of the COVID-19 pandemic extends beyond mortality rates. Recent analyses suggest that the introduction and spread of SARS-CoV-2 have significantly affected the epidemiology of other key respiratory viruses, such as influenza virus (FLUV), respiratory syncytial virus (RSV), and rhinovirus (RV). These changes raise new questions about the dynamics and incidence of post-COVID-19 respiratory infections, as well as potential alterations in symptom profiles and clinical outcomes. In this study, we analyzed data from the Epidemiological Surveillance Information System of Respiratory Viral Agents (SIVEP-Gripe), established by the Brazilian Ministry of Health, to examine the profile of SARI before and during the COVID-19 pandemic in Brazil. Our data reveal a distinct epidemiological pattern, with a significant decrease in FLUV notifications during the pandemic, accompanied by peaks in RSV and RV cases in late 2020. Additionally, there was a shift in the age distribution of RSV and other viral infections, with individuals infected during the pandemic being older than those infected before the pandemic. Interestingly, the introduction and spread of SARS-CoV-2 in Bahia State resulted in a reduction in the frequency of symptoms associated with non-SARS-CoV-2 SARI, without altering clinical outcomes. Our findings suggest that the circulation of SARS-CoV-2 has contributed to a clinical and epidemiological shift, particularly for FLUV, RSV, and other viruses, marked by a reduction in symptoms such as fever, dyspnea, respiratory distress, and the need for ventilatory support. The underlying mechanisms driving these changes remain unclear. These insights are crucial for public health authorities and policymakers to refine surveillance strategies and enhance control measures for respiratory viruses, particularly those causing SARI.

Indexed as

COVID-19Respiratory Tract InfectionsAdolescentAdultAgedAged, 80 and overBrazilChildChild, PreschoolFemaleHumansIncidenceInfantInfant, NewbornInfluenza, HumanMaleinfluenza virusrespiratory syncytial virusSARISARS-CoV-2seasonalitysymptoms

Identifiers

PMID40143317
PMCPMC11946068

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.