Evidence map›Paper›PMID 34303348›Full record

Observational studyBMC infectious diseases2021

Serological and molecular epidemiology of the Dengue, Zika and Chikungunya viruses in a risk area in Brazil.

Magaly Lima Mota, Robson Dos Santos Souza Marinho, Rodrigo Lopes Sanz Duro, James Hunter, Irwin Rose Alencar de Menezes, João Marcos Ferreira de Lima Silva, Glaubervânio Leite Tavares Pereira, Ester Cerdeira Sabino, Anete Grumach, Ricardo Sobhie Diaz and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  4. Review
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  8. Performance Evaluation of VIDASDiagnostics (Basel, Switzerland) · 2023
    Article
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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

12 authors at 6 institutions in 1 country.

Magaly Lima MotaFaculty of Medical of the ABC, Santo André, SP, 09060-870, Brazil.
Robson Dos Santos Souza MarinhoRetrovirology Laboratory, Federal University of São Paulo, São Paulo, SP, 04039-032, Brazil.
Rodrigo Lopes Sanz DuroRetrovirology Laboratory, Federal University of São Paulo, São Paulo, SP, 04039-032, Brazil.
James HunterRetrovirology Laboratory, Federal University of São Paulo, São Paulo, SP, 04039-032, Brazil.
Irwin Rose Alencar de MenezesUniversidade Regional do Cariri, Crato, CE, 63105-010, Brazil.
João Marcos Ferreira de Lima SilvaCentro Universitário Dr. Leão Sampaio, Juazeiro do Norte, CE, 63040-405, Brazil.
Glaubervânio Leite Tavares PereiraCentro Universitário Dr. Leão Sampaio, Juazeiro do Norte, CE, 63040-405, Brazil.
Ester Cerdeira SabinoInstitute of Tropical Medicine, University of São Paulo, São Paulo, SP, 05403-000, Brazil.
Anete GrumachFaculty of Medical of the ABC, Santo André, SP, 09060-870, Brazil.
Ricardo Sobhie DiazRetrovirology Laboratory, Federal University of São Paulo, São Paulo, SP, 04039-032, Brazil.
Maria do Socorro LucenaCentral Public Health Laboratory, Juazeiro do Norte, CE, 63010-464, Brazil.
Shirley Vasconcelos KomninakisFaculty of Medical of the ABC, Santo André, SP, 09060-870, Brazil. skomninakis@yahoo.com.br.
Universidade Federal de São Paulo · BRCentro Universitário do Norte · BRFaculdade de Medicina do ABC · BRFundação do ABC · BRUniversidade de São Paulo · BRUniversidade Regional do Cariri · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe co-circulation of types of arbovirus in areas where they are endemic increased the risk of outbreaks and limited the diagnostic methods available. Here, we analyze the epidemiological profile of DENV, CHIKV and ZIKV at the serological and molecular level in patients with suspected infection with these arboviruses in the city of Juazeiro do Norte, Ceará, Brazil.

methodsIn 2016, the Central Public Health Laboratory (LACEN) of Juazeiro do Norte received 182 plasma samples from patients who visited health facilities with symptoms compatible with arbovirus infection. The LACEN performed serological tests for detection of IgM/IgG to DENV and CHIKV. They then sent these samples to the Retrovirology Laboratory of the Federal University of São Paulo and Faculty of Medical of the ABC where molecular analyses to confirm the infection by DENV, ZIKV and CHIKV were performed. The prevalence of IgM/IgG antibodies and of infections confirmed by RT-qPCR were presented with 95% confidence interval.

resultsIn serologic analysis, 125 samples were positive for antibodies against CHIKV and all were positive for antibodies against DENV. A higher prevalence of IgG against CHIKV (63.20% with 95% CI: 45.76-70.56) than against DENV (95.05% with 95% CI: 78.09-98.12) was observed. When the samples were submitted to analysis by RT-qPCR, we observed the following prevalence: mono-infection by ZIKV of 19.23% (95% CI: 14.29-34.82) patients, mono-infection by CHIKV of 3.84% (95% CI: 2.01-5.44) and co-infection with ZIKV and CHIKV of 1.09% (95% CI: 0.89-4.56).

conclusionThe serologic and molecular tests performed in this study were effective in analyzing the epidemiological profile of DENV, CHIKV and ZIKV in patients with suspected infection by these arboviruses in the city of Juazeiro do Norte, Ceará/Brazil.

Indexed as

AdultAntibodies, ViralBrazilChikungunya FeverChikungunya virusCitiesCross-Sectional StudiesDengueDengue VirusFemaleHumansImmunoglobulin GImmunoglobulin MMaleMiddle AgedMolecular EpidemiologyAntibodies, ViralImmunoglobulin GImmunoglobulin MBrazilChikungunyaDengueEpidemiologyZika

Identifiers

PMID34303348
PMCPMC8310596
OpenAlexW3184228771

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.