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Aglomerados de alto risco e tendência temporal da sífilis congênita no Brasil
OBJECTIVE. To determine the occurrence of high-risk clusters for congenital syphilis (CS) in Brazil and describe the temporal trends in the CS infection in the country, comparing children whose mothers received vs. those whose mothers did not receive prenatal care. METHOD. This ecological study used...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Organización Panamericana de la Salud
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425818/ https://www.ncbi.nlm.nih.gov/pubmed/32818032 http://dx.doi.org/10.26633/RPSP.2020.75 |
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author | Oliveira, Vinícius da Silva Rodrigues, Roberta Luiza Chaves, Vinícius Barros dos Santos, Thiago Soares de Assis, Flaviane Marques Ternes, Yves Mauro Fernandes de Aquino, Érika Carvalho |
author_facet | Oliveira, Vinícius da Silva Rodrigues, Roberta Luiza Chaves, Vinícius Barros dos Santos, Thiago Soares de Assis, Flaviane Marques Ternes, Yves Mauro Fernandes de Aquino, Érika Carvalho |
author_sort | Oliveira, Vinícius da Silva |
collection | PubMed |
description | OBJECTIVE. To determine the occurrence of high-risk clusters for congenital syphilis (CS) in Brazil and describe the temporal trends in the CS infection in the country, comparing children whose mothers received vs. those whose mothers did not receive prenatal care. METHOD. This ecological study used data from the National Disease Notification System (Sistema de Informação de Agravos de Notificação, SINAN) and the Live Birth Information System (Sistema de Informações sobre Nascidos Vivos, SINASC). For cluster analysis, the Kulldorff scan statistic was applied to the population at risk. Statistical significance was determined by the log-likelihood ratio based on Poisson discrete distribution. To analyze the temporal trends of disease detection rates, Prais-Winsten regression was used. The analysis was performed with SatScan 9.4 and Stata 14.0 software. RESULTS. Clusters with detection rates of 41.3, 44.4 and 188.1 CS cases/10 000 live births were identified in 2001, 2009 and 2017 respectively. In 2001, the rates were 8 times higher in the clusters than in the remaining country; in 2009, the rates were 3.3 times higher; and in 2017, 2.5 times higher. An increasing trend in CS infection was detected in all regions and federation units. The rates were 8.53 times higher in the children of mothers without prenatal care (243.3 cases/1 000 live births vs. 28.3 cases/1 000 live births in the children of mothers with prenatal care). CONCLUSIONS. The identification of municipality clusters at high risk for CS and of increasing trends in CS infection across the country, even in the presence of prenatal care, suggests the need for improvement of public health actions to fight this disease. |
format | Online Article Text |
id | pubmed-7425818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Organización Panamericana de la Salud |
record_format | MEDLINE/PubMed |
spelling | pubmed-74258182020-08-17 Aglomerados de alto risco e tendência temporal da sífilis congênita no Brasil Oliveira, Vinícius da Silva Rodrigues, Roberta Luiza Chaves, Vinícius Barros dos Santos, Thiago Soares de Assis, Flaviane Marques Ternes, Yves Mauro Fernandes de Aquino, Érika Carvalho Rev Panam Salud Publica Artigo Original OBJECTIVE. To determine the occurrence of high-risk clusters for congenital syphilis (CS) in Brazil and describe the temporal trends in the CS infection in the country, comparing children whose mothers received vs. those whose mothers did not receive prenatal care. METHOD. This ecological study used data from the National Disease Notification System (Sistema de Informação de Agravos de Notificação, SINAN) and the Live Birth Information System (Sistema de Informações sobre Nascidos Vivos, SINASC). For cluster analysis, the Kulldorff scan statistic was applied to the population at risk. Statistical significance was determined by the log-likelihood ratio based on Poisson discrete distribution. To analyze the temporal trends of disease detection rates, Prais-Winsten regression was used. The analysis was performed with SatScan 9.4 and Stata 14.0 software. RESULTS. Clusters with detection rates of 41.3, 44.4 and 188.1 CS cases/10 000 live births were identified in 2001, 2009 and 2017 respectively. In 2001, the rates were 8 times higher in the clusters than in the remaining country; in 2009, the rates were 3.3 times higher; and in 2017, 2.5 times higher. An increasing trend in CS infection was detected in all regions and federation units. The rates were 8.53 times higher in the children of mothers without prenatal care (243.3 cases/1 000 live births vs. 28.3 cases/1 000 live births in the children of mothers with prenatal care). CONCLUSIONS. The identification of municipality clusters at high risk for CS and of increasing trends in CS infection across the country, even in the presence of prenatal care, suggests the need for improvement of public health actions to fight this disease. Organización Panamericana de la Salud 2020-08-06 /pmc/articles/PMC7425818/ /pubmed/32818032 http://dx.doi.org/10.26633/RPSP.2020.75 Text en https://creativecommons.org/licenses/by-nc-nd/3.0/igo/legalcode Este é um artigo de acesso aberto distribuído sob os termos da Licença Creative Commons Attribution-NonCommercial-NoDerivs 3.0 IGO, que permite o uso, distribuição e reprodução em qualquer meio, desde que o trabalho original seja devidamente citado. Não são permitidas modificações ou uso comercial dos artigos. Em qualquer reprodução do artigo, não deve haver nenhuma sugestão de que a OPAS ou o artigo avaliem qualquer organização ou produtos específicos. Não é permitido o uso do logotipo da OPAS. Este aviso deve ser preservado juntamente com o URL original do artigo. |
spellingShingle | Artigo Original Oliveira, Vinícius da Silva Rodrigues, Roberta Luiza Chaves, Vinícius Barros dos Santos, Thiago Soares de Assis, Flaviane Marques Ternes, Yves Mauro Fernandes de Aquino, Érika Carvalho Aglomerados de alto risco e tendência temporal da sífilis congênita no Brasil |
title | Aglomerados de alto risco e tendência temporal da sífilis congênita no Brasil |
title_full | Aglomerados de alto risco e tendência temporal da sífilis congênita no Brasil |
title_fullStr | Aglomerados de alto risco e tendência temporal da sífilis congênita no Brasil |
title_full_unstemmed | Aglomerados de alto risco e tendência temporal da sífilis congênita no Brasil |
title_short | Aglomerados de alto risco e tendência temporal da sífilis congênita no Brasil |
title_sort | aglomerados de alto risco e tendência temporal da sífilis congênita no brasil |
topic | Artigo Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425818/ https://www.ncbi.nlm.nih.gov/pubmed/32818032 http://dx.doi.org/10.26633/RPSP.2020.75 |
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