Evidence map›Paper›PMID 37871047›Full record

ArticlePloS one2023

A classification model for municipalities in the paraense Amazon regarding the risk of violence against women: A multicriteria approach.

João Lúcio de Souza, Saulo William da Silva Costa, Fernando Augusto Ribeiro Costa, Alana Miranda Medeiros, Guilherme N DeSouza, Marcos César da Rocha Seruffo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
0.8field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

6 authors at 2 institutions in 2 countries.

João Lúcio de SouzaGraduate Program in Electrical Engineering, Institute of Technology, Federal University of Pará, Belém, PA, Brazil.ORCID 0000-0002-8461-7301
Saulo William da Silva CostaGraduate Program in Electrical Engineering, Institute of Technology, Federal University of Pará, Belém, PA, Brazil.
Fernando Augusto Ribeiro CostaGraduate Program in Sustainable Development of the Humid Tropics, Center for Advanced Amazonian Studies, Federal University of Pará, Belém, PA, Brazil.
Alana Miranda MedeirosGraduate Program in Computer Science, Institute of Exact and Natural Sciences, Federal University of Pará, Belém, PA, Brazil.
Guilherme N DeSouzaDept. of Electrical Engineering and Computer Science (EECS), University of Missouri-Columbia, Columbia, Missouri, EUA.
Marcos César da Rocha SeruffoGraduate Program in Electrical Engineering, Institute of Technology, Federal University of Pará, Belém, PA, Brazil.
Instituto Federal de Educação, Ciência e Tecnologia do Pará · BRUniversity of Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Violence against women (VAW) is a serious violation of the rights to life, health, and physical integrity. Recent studies point out that social, economic, and demographic factors directly impact the advance of this type of violence. In view of these facts, the state has its responsibility increased when it cannot provide the public equipment necessary for management strategies that collaborate with the confrontation of violence. This project aims to develop a multicriteria decision analysis model (MCDA) to classify Pará municipalities with regard to the propensity for VAW crime, based on the mapping of assistance and protection equipment, as well as socioeconomic indicators of each municipality. The model developed and the research findings represent an important step in elaboration. In turn, this model demonstrates its ability to be a possible instrument that decision makers and implementers of public policies aimed at protecting and supporting women victims of violence in order to anticipate new occurrences.

Indexed as

ViolenceCitiesFemaleHumansSocioeconomic Factors

Identifiers

PMID37871047
PMCPMC10593212
OpenAlexW4387873635

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.