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Spatial and trend analysis of gestational syphilis cases in Brazil from 2011 to 2020: an ecological study.
da Silva, Thales Philipe Rodrigues; Schreck, Rafaela Siqueira Costa; de Oliveira, Débora Caixeta Bernardes; Mascarenhas, Letícia Vieira; Luvisaro, Bianca Maria Oliveira; Camargo, Bárbara Tideman Sartório; Martins, Eunice Francisca; de Freitas, Giselle Lima; Matozinhos, Fernanda Penido.
Afiliação
  • da Silva TPR; Department of Women's Health Nursing, Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.
  • Schreck RSC; Graduate Nursing Program, School of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • de Oliveira DCB; Department of Maternal and Child Nursing and Public Health, School of Nursing, Universidade Federal de Minas Gerais, Avenida Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, MG, CEP: 30130-100, Brazil.
  • Mascarenhas LV; School of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
  • Luvisaro BMO; School of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
  • Camargo BTS; Graduate Nursing Program, School of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • Martins EF; Graduate Nursing Program, Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.
  • de Freitas GL; Department of Maternal and Child Nursing and Public Health, School of Nursing, Universidade Federal de Minas Gerais, Avenida Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, MG, CEP: 30130-100, Brazil.
  • Matozinhos FP; Department of Maternal and Child Nursing and Public Health, School of Nursing, Universidade Federal de Minas Gerais, Avenida Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, MG, CEP: 30130-100, Brazil.
BMC Public Health ; 24(1): 1859, 2024 Jul 11.
Article em En | MEDLINE | ID: mdl-38992653
ABSTRACT

OBJECTIVES:

To analyze the rate of gestational syphilis (GS) based on temporal trends over 11 years, as well as the spatial distribution of GS in Brazil, based on the identification of spatial clusters.

METHODOLOGY:

An ecological, using Brazil and its regions as an analysis unit, based on gestational syphilis data reported in the Notifiable Diseases Information System (SINAN), from 2011 to 2020. Thematic maps were built for spatial data analysis, and the Prais-Winsten autoregressive model was used to verify the trend. Spatial analysis identified the distribution of clusters (high-high; low-low; high-low and low-high) of distribution of GS across Brazilian municipalities, using a 5% significance level.

RESULTS:

Gestational syphilis experienced a considerable increase in cases during the studied period, with a peak of 37,436 cases in 2018. The spatial distribution of the disease is heterogeneous in the country. A growing trend was observed in all states of Brazil, except for Espírito Santo, where it remained stationary, with a monthly variation of 10.32%.

CONCLUSION:

The spatial and temporal trend analysis point to syphilis as an important public health problem. The numbers are alarming and show the urgent need for measures to prevent and control syphilis during pregnancy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Complicações Infecciosas na Gravidez / Sífilis Limite: Female / Humans / Pregnancy País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Complicações Infecciosas na Gravidez / Sífilis Limite: Female / Humans / Pregnancy País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2024 Tipo de documento: Article