16 research outputs found

    Application of a multicriteria decision model for the classification of Paraíba’s municipalities as to the occurrence of domestic and family violence against women

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    The objective of the present work is to classify the municipalities of the state of Paraíba according to the propensity for the occurrence of Domestic and Family Violence Against Women. Data used come from the Municipal Basic Information Survey (MUNIC, in Portuguese), performed in 2019, by the Brazilian Institute of Geography and Statistics (IBGE, in Portuguese). Additionally, the records of cases of violence from the Women’s Assistance Center (Ligue 180) were used to evaluate the classification. The ELECTRE Tri-B method was applied for the classification task, considering a set of socioeconomic criteria, to group municipalities into four classes: Low, Medium, High and Very High. The results suggest that more than 80% of the municipalities in Paraíba were classified as having a high propensity, which means that they have a lack of services and strategies to protect women, demanding, therefore, greater attention of the state for the implementation of assistance services.

    ASPECTOS CLÍNICOS E DIAGNÓSTICO DA DOENÇA INFLAMATÓRIA DO COLO DO ÚTERO

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    Inflammatory disease of the cervix is a condition that can cause significant complications for female reproductive health. This study aims to review the available literature on the clinical and diagnostic aspects of this disease, using an integrative review. The databases Scientific Electronic Library Online (SCIELO) and Literatura Latino-Americana e do Caribe em CiĂȘncias da SaĂșde (LILACS) were used for data collection. The results indicated that early identification and accurate diagnosis are crucial for effective treatment and prevention of serious complications. Diagnostic methods include clinical exams, cytology, colposcopy, and molecular biology tests. The review highlighted the need for a continuous and multidisciplinary approach for effective disease management. It concludes that health education and access to quality diagnostic services are fundamental for the prevention and control of inflammatory disease of the cervix.A doença inflamatĂłria do colo do Ăștero Ă© uma condição que pode causar significativas complicaçÔes para a saĂșde reprodutiva feminina. Este estudo tem como objetivo revisar a literatura disponĂ­vel sobre os aspectos clĂ­nicos e diagnĂłsticos dessa doença, utilizando uma revisĂŁo integrativa. As bases de dados Scientific Electronic Library Online (SCIELO) e Literatura Latino-Americana e do Caribe em CiĂȘncias da SaĂșde (LILACS) foram utilizadas para a coleta de dados. Os resultados indicaram que a identificação precoce e o diagnĂłstico preciso sĂŁo cruciais para o tratamento eficaz e a prevenção de complicaçÔes graves. Os mĂ©todos diagnĂłsticos incluem exames clĂ­nicos, citologia, colposcopia e testes de biologia molecular. A revisĂŁo destacou a necessidade de uma abordagem multidisciplinar e contĂ­nua para a gestĂŁo eficaz da doença. Conclui-se que a educação em saĂșde e o acesso a serviços de diagnĂłstico de qualidade sĂŁo fundamentais para a prevenção e controle da doença inflamatĂłria do colo do Ăștero

    Project steps.

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    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 ParĂĄ 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.</div

    Evaluation criteria.

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    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 ParĂĄ 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.</div

    Comparison of related work.

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    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 ParĂĄ 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.</div

    Denunciations—Women’s call center, Ligue 180.

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    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 ParĂĄ 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.</div

    Preference and indifference values.

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    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 ParĂĄ 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.</div

    Class distribution.

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    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 ParĂĄ 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.</div

    Indicators that compose the SPI index.

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    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 ParĂĄ 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.</div
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