Evidence map›Paper›PMID 39258677›Full record

ArticleRevista da Sociedade Brasileira de Medicina Tropical2024

Molecular detection of multiple arboviruses in the city of Goiânia-Goiás-Brazil.

Jordana Farias Corrêa, Silvia Maria Salem-Izacc, Elisângela Gomes da Silva, Adriano Roberto Vieira de Sousa, Gabrielly Regis Abrantes, Marina Machado Santos, Juliana Pires Ribeiro, Marco Tulio A Garcia-Zapata, Natália Santana do Nascimento, Carlos Eduardo Anunciação and 2 more

Abstract read
In one paragraph

Article in Revista da Sociedade Brasileira de Medicina Tropical, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jordana Farias CorrêaUniversidade Federal de Goiás, Instituto de Ciências Biológicas, Goiânia, GO, Brasil.ORCID http://orcid.org/0000-0001-5589-744X
Silvia Maria Salem-IzaccUniversidade Federal de Goiás, Instituto de Ciências Biológicas, Goiânia, GO, Brasil.ORCID http://orcid.org/0000-0003-4920-4525
Elisângela Gomes da SilvaUniversidade Federal de Goiás, Instituto de Ciências Biológicas, Goiânia, GO, Brasil.ORCID http://orcid.org/0000-0002-0493-026X
Adriano Roberto Vieira de SousaUniversidade Federal de Goiás, Instituto de Ciências Biológicas, Goiânia, GO, Brasil.ORCID http://orcid.org/0000-0002-2858-4680
Gabrielly Regis AbrantesUniversidade Federal de Goiás, Instituto de Ciências Biológicas, Goiânia, GO, Brasil.ORCID http://orcid.org/0000-0001-9321-9527
Marina Machado SantosUniversidade Federal de Goiás, Instituto de Ciências Biológicas, Goiânia, GO, Brasil.ORCID http://orcid.org/0000-0003-2942-9225
Juliana Pires RibeiroUniversidade Federal de Goiás, Instituto de Patologia Tropical, Goiânia, GO, Brasil.ORCID http://orcid.org/0000-0001-5384-2525
Marco Tulio A Garcia-ZapataUniversidade Federal de Goiás, Instituto de Patologia Tropical, Goiânia, GO, Brasil.ORCID http://orcid.org/0000-0002-6754-7161
Natália Santana do NascimentoUniversidade Federal de Goiás, Faculdade de Enfermagem, Goiânia, GO, Brasil.ORCID http://orcid.org/0000-0002-9601-9333
Carlos Eduardo AnunciaçãoUniversidade Federal de Goiás, Instituto de Ciências Biológicas, Goiânia, GO, Brasil.ORCID http://orcid.org/0000-0001-6732-4673
Sandra Maria BruniniUniversidade Federal de Goiás, Faculdade de Enfermagem, Goiânia, GO, Brasil.ORCID http://orcid.org/0000-0003-2623-6348
Elisângela de Paula Silveira-LacerdaUniversidade Federal de Goiás, Instituto de Ciências Biológicas, Goiânia, GO, Brasil.ORCID http://orcid.org/0000-0002-4143-9007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare systems are currently ill-equipped to diagnose arboviruses rapidly and efficiently or to differentiate between various viruses.

methodsUtilizing molecular techniques, this study examined arbovirus infections in 459 patients from a public health unit in Goiânia-Goiás, Brazil, a region where arbovirus infection poses a significant public health challenge.

resultsNearly 60% of the analyzed samples tested positive for at least one arbovirus, and over 10% of the patients were co-infected with more than one virus.

conclusionsFast and accurate diagnostic tools are essential for informing public health policy and enhancing epidemiological surveillance.

Indexed as

ArbovirusesArbovirus InfectionsAdolescentAdultAgedBrazilChildChild, PreschoolCoinfectionFemaleHumansInfantMaleMiddle AgedRNA, ViralYoung AdultRNA, Viral

Identifiers

PMID39258677
PMCPMC11379444

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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.