Evidence map›Paper›PMID 39082538›Full record

ArticleRevista brasileira de enfermagem2024

Fuzzy Logic: vulnerability of women who have sex with women to sexually transmitted infections.

Juliane Andrade, Kendra Yanne da Silva Santos, Ana Paula Freneda de Freitas, Mariana Alice Oliveira Ignácio, Emmanuel Zullo Godinho, Marli Teresinha Cassamassimo Duarte

Abstract read
In one paragraph

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

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1 · What the graph read from it

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Juliane AndradeUniversidade Estadual Paulista "Júlio de Mesquita Filho", Faculdade de Medicina de Botucatu. Botucatu, São Paulo, Brazil.ORCID 0000-0002-4321-0118
Kendra Yanne da Silva SantosHospital Ortopédico e de Medicina Especializada. Brasília, Distrito Federal, Brazil.ORCID 0000-0001-6881-9328
Ana Paula Freneda de FreitasUniversidade Estadual Paulista "Júlio de Mesquita Filho", Unidade Auxiliar da Faculdade de Medicina de Botucatu, Centro de Saúde Escola. Botucatu, São Paulo, Brazil.ORCID 0000-0002-3796-6111
Mariana Alice Oliveira IgnácioUniversidade Estadual Paulista "Júlio de Mesquita Filho", Faculdade de Medicina de Botucatu. Botucatu, São Paulo, Brazil.ORCID 0000-0002-3209-035X
Emmanuel Zullo GodinhoCentro Universitário Sagrado Coração, Departamento de Agronomia. Bauru, São Paulo, Brazil.ORCID 0000-0001-5281-6608
Marli Teresinha Cassamassimo DuarteUniversidade Estadual Paulista "Júlio de Mesquita Filho", Faculdade de Medicina de Botucatu. Botucatu, São Paulo, Brazil.ORCID 0000-0001-9582-2944

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the possibility of applying Fuzzy Logic in analyzing the vulnerability of Women Who Have Sex with Women to Sexually Transmitted Infections/HIV/AIDS.

methodsWe developed a Fuzzy Logic system with 17 input variables and one output variable, using data related to vulnerability in a municipality located in the Midwest region of the State of São Paulo, Brazil.

resultsThe factor with the greatest positive impact was the confirmation that a low understanding of Sexually Transmitted Infections/HIV/AIDS is associated with higher vulnerability. Conversely, the statement "Not disclosing sexual activity to healthcare professionals," where individuals do not admit to having sex with women, had the least impact.

conclusionsFuzzy Logic facilitates the identification of vulnerability, expressed through the analysis of interaction between variables in each dimension. This makes it a promising method to assist in analyzing the vulnerability of specific populations.

Indexed as

Fuzzy LogicSexually Transmitted DiseasesVulnerable PopulationsAdultBrazilFemaleHomosexuality, FemaleHumansMiddle AgedSurveys and Questionnaires

Identifiers

PMID39082538
PMCPMC11290739

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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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.