Congenital zika syndrome in Recife, Brazil: characteristics and spatial distribution
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Baiana de Saúde Pública (Online) |
Texto Completo: | https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/2834 |
Resumo: | The epidemic of congenital Zika syndrome has become an international emergency. In Brazil, the state of Pernambuco stood out regarding the notifications of the disease, and the municipality of Recife had the highest number of confirmed cases in the state. This study sought thus to describe the profile and determine the georeferencing of live births with congenital Zika syndrome in Recife, Pernambuco, Brazil, from August, 2015 to July, 2017. Based on an exploratory and analytical methodology, this research used data from the linkage between the Public Health Events Registry (Resp-Microcephaly) and the Information System on Live Births (Sinasc). Cases were georeferenced and imported into ArcGis 10.2 software to build the thematic map of the spatial distribution. The linkage paired 62 (89.9%) cases of congenital Zika syndrome. Most mothers were black (75.8%), between 19 and 35 years old, with secondary education (87.1%), and seven or more prenatal consultations (56.5%). All pregnancies were unique. Most live births were normal delivery (53.2%) and full-term (87.1%), male, with adequate weight (83.9%) and satisfactory Apgar scores in the 1st (83.9%) and 5th minutes (93.5%). Main imaging findings were calcifications, ventriculomegaly and lissencephaly. Georeferencing showed greater distribution of cases in Health Districts II, IV, V and VIII, and concentration of 39% in Special Areas of Social Interest. Considering the outbreak of the disease in the municipality, policies for prevention and qualification of care to children with congenital Zika syndrome is paramount. |
id |
IBICT-3_0849b86d1e86bcb4ca0d2df2476a3d7d |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/2834 |
network_acronym_str |
IBICT-3 |
network_name_str |
Revista Baiana de Saúde Pública (Online) |
repository_id_str |
|
spelling |
Congenital zika syndrome in Recife, Brazil: characteristics and spatial distributionSíndrome congénito del virus del zika en Recife, Pernambuco: características y distribución espacialSíndrome congênita do zika vírus no Recife – Pernambuco: características e distribuição espacialMicrocefaliaZika vírusAnormalidades congênitasEpidemiologia descritivaDistribuição espacial da populaçãoSíndrome Congênita do vírus ZikaMicrocefaliaZika vírusMicrocefaliaZika virusAnomalías congénitasEpidemiología descriptivaDistribución espacial de la poblaciónMicrocephalyZika virusCongenital abnormalitiesEpidemiologyDescriptive residence characteristicsThe epidemic of congenital Zika syndrome has become an international emergency. In Brazil, the state of Pernambuco stood out regarding the notifications of the disease, and the municipality of Recife had the highest number of confirmed cases in the state. This study sought thus to describe the profile and determine the georeferencing of live births with congenital Zika syndrome in Recife, Pernambuco, Brazil, from August, 2015 to July, 2017. Based on an exploratory and analytical methodology, this research used data from the linkage between the Public Health Events Registry (Resp-Microcephaly) and the Information System on Live Births (Sinasc). Cases were georeferenced and imported into ArcGis 10.2 software to build the thematic map of the spatial distribution. The linkage paired 62 (89.9%) cases of congenital Zika syndrome. Most mothers were black (75.8%), between 19 and 35 years old, with secondary education (87.1%), and seven or more prenatal consultations (56.5%). All pregnancies were unique. Most live births were normal delivery (53.2%) and full-term (87.1%), male, with adequate weight (83.9%) and satisfactory Apgar scores in the 1st (83.9%) and 5th minutes (93.5%). Main imaging findings were calcifications, ventriculomegaly and lissencephaly. Georeferencing showed greater distribution of cases in Health Districts II, IV, V and VIII, and concentration of 39% in Special Areas of Social Interest. Considering the outbreak of the disease in the municipality, policies for prevention and qualification of care to children with congenital Zika syndrome is paramount.La epidemia del síndrome congénito de Zika se ha convertido en una emergencia global. Pernambuco se destacó en las notificaciones de la enfermedad en Brasil, y el municipio de Recife tuvo el mayor número de casos confirmados en el estado. Los objetivos de este estudio fueron describir el perfil y georreferenciar a los nacidos vivos con síndrome congénito de Zika en Recife, Pernambuco, en el período de agosto de 2015 a julio de 2017. Este es un estudio exploratorio y analítico, realizado con datos provenientes del linkage entre el Registro de Eventos de Salud Pública (Resp-Microcefalia) y el Sistema de Información de Nacidos Vivos (Sinasc). Los casos fueron georreferenciados e importados al software ArcGis 10.2. para elaborar un mapa temático de la distribución espacial. El linkage pareó 62 (89,9%) casos de síndrome congénito de Zika; la mayoría de las madres eran negras (75,8%), con edades entre los 19 y los 35 años, nivel educativo hasta la secundaria (87,1%) y siete o más consultas prenatales (56,5%); todas las gestaciones fueron únicas; hubo predominio de nacidos vivos con parto normal (53,2%) y de término (87,1%), varones, con peso adecuado (83,9%) y puntajes de Apgar satisfactorios en el 1.º (83,9%) y 5.º minuto (93,5%); los principales hallazgos de los exámenes de imagen fueron calcificaciones, ventriculomegalia y lisencefalia. La georreferenciación apuntó a una mayor distribución de casos en los Distritos Sanitarios II, IV, V y VIII, y una concentración del 39% de ellos en Áreas Especiales de Interés Social. Por último, teniendo en cuenta el brote de la enfermedad en el municipio, se enfatizó la necesidad de políticas para prevención y calificación de la asistencia a los niños con síndrome congénito de Zika.A epidemia da Síndrome Congênita do Zika tornou-se emergência internacional. Pernambuco se destacou nas notificações da doença no Brasil e o município do Recife teve o maior número de casos confirmados no estado. Foram objetivos deste estudo descrever o perfil e determinar o georreferenciamento dos nascidos vivos com Síndrome Congênita do Zika no Recife, em Pernambuco, no período de agosto de 2015 a julho de 2017. A partir de uma prática exploratória e analítica, utilizou-se dados provenientes do linkage entre o Registro de Eventos em Saúde Pública (Resp-Microcefalia) e o Sistema de Informações sobre Nascidos Vivos (Sinasc). Os casos foram georreferenciados e importados para o software ArcGis 10.2. para construção do mapa temático da distribuição espacial. O linkage pareou 62 (89,9%) casos de Síndrome Congênita do Zika; a maioria das mães era negra (75,8%), tinha entre 19 e 35 anos, nível de escolaridade até o ensino médio (87,1%) e sete ou mais consultas de pré-natal (56,5%); todas as gestações foram únicas; predominaram os nascidos vivos de parto normal (53,2%) e a termo (87,1%), do sexo masculino, com peso adequado (83,9%) e escores de Apgar satisfatórios no 1º (83,9%) e 5º minutos (93,5%); os principais achados dos exames de imagem foram calcificação, ventriculomegalia e lisencefalia. O georreferenciamento apontou maior distribuição dos casos nos Distritos Sanitários II, IV, V e VIII e concentração de 39% deles em Zonas Especiais de Interesse Social. Portanto, considerando o surto da doença no município, ressalta-se a necessidade de políticas para prevenção e qualificação da assistência às crianças com Síndrome Congênita do Zika.SESAB2021-12-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/283410.22278/2318-2660.2020.v44.n2.a2834Revista Baiana de Saúde Pública; v. 44 n. 2 (2020); 130-1512318-26600100-023310.22278/2318-2660.2020.v44.N2reponame:Revista Baiana de Saúde Pública (Online)instname:Secretaria da Saúde do Estado da Bahia (Sesab)instacron:IBICTporhttps://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/2834/2916Copyright (c) 2020 Revista Baiana de Saúde Públicainfo:eu-repo/semantics/openAccessCruz, Eveline d'AndradaCunha, Márcia Andréa Oliveira daGalindo, Jadson Mendonça2023-02-13T19:15:28Zoai:ojs.pkp.sfu.ca:article/2834Revistahttps://rbsp.sesab.ba.gov.br/index.php/rbspPUBhttps://rbsp.sesab.ba.gov.br/index.php/rbsp/oai||saude.revista@saude.ba.gov.br|| rbsp.saude@saude.ba.gov.br2318-26600100-0233opendoar:2024-03-06T12:58:01.573171Revista Baiana de Saúde Pública (Online) - Secretaria da Saúde do Estado da Bahia (Sesab)false |
dc.title.none.fl_str_mv |
Congenital zika syndrome in Recife, Brazil: characteristics and spatial distribution Síndrome congénito del virus del zika en Recife, Pernambuco: características y distribución espacial Síndrome congênita do zika vírus no Recife – Pernambuco: características e distribuição espacial |
title |
Congenital zika syndrome in Recife, Brazil: characteristics and spatial distribution |
spellingShingle |
Congenital zika syndrome in Recife, Brazil: characteristics and spatial distribution Cruz, Eveline d'Andrada Microcefalia Zika vírus Anormalidades congênitas Epidemiologia descritiva Distribuição espacial da população Síndrome Congênita do vírus Zika Microcefalia Zika vírus Microcefalia Zika virus Anomalías congénitas Epidemiología descriptiva Distribución espacial de la población Microcephaly Zika virus Congenital abnormalities Epidemiology Descriptive residence characteristics |
title_short |
Congenital zika syndrome in Recife, Brazil: characteristics and spatial distribution |
title_full |
Congenital zika syndrome in Recife, Brazil: characteristics and spatial distribution |
title_fullStr |
Congenital zika syndrome in Recife, Brazil: characteristics and spatial distribution |
title_full_unstemmed |
Congenital zika syndrome in Recife, Brazil: characteristics and spatial distribution |
title_sort |
Congenital zika syndrome in Recife, Brazil: characteristics and spatial distribution |
author |
Cruz, Eveline d'Andrada |
author_facet |
Cruz, Eveline d'Andrada Cunha, Márcia Andréa Oliveira da Galindo, Jadson Mendonça |
author_role |
author |
author2 |
Cunha, Márcia Andréa Oliveira da Galindo, Jadson Mendonça |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Cruz, Eveline d'Andrada Cunha, Márcia Andréa Oliveira da Galindo, Jadson Mendonça |
dc.subject.por.fl_str_mv |
Microcefalia Zika vírus Anormalidades congênitas Epidemiologia descritiva Distribuição espacial da população Síndrome Congênita do vírus Zika Microcefalia Zika vírus Microcefalia Zika virus Anomalías congénitas Epidemiología descriptiva Distribución espacial de la población Microcephaly Zika virus Congenital abnormalities Epidemiology Descriptive residence characteristics |
topic |
Microcefalia Zika vírus Anormalidades congênitas Epidemiologia descritiva Distribuição espacial da população Síndrome Congênita do vírus Zika Microcefalia Zika vírus Microcefalia Zika virus Anomalías congénitas Epidemiología descriptiva Distribución espacial de la población Microcephaly Zika virus Congenital abnormalities Epidemiology Descriptive residence characteristics |
description |
The epidemic of congenital Zika syndrome has become an international emergency. In Brazil, the state of Pernambuco stood out regarding the notifications of the disease, and the municipality of Recife had the highest number of confirmed cases in the state. This study sought thus to describe the profile and determine the georeferencing of live births with congenital Zika syndrome in Recife, Pernambuco, Brazil, from August, 2015 to July, 2017. Based on an exploratory and analytical methodology, this research used data from the linkage between the Public Health Events Registry (Resp-Microcephaly) and the Information System on Live Births (Sinasc). Cases were georeferenced and imported into ArcGis 10.2 software to build the thematic map of the spatial distribution. The linkage paired 62 (89.9%) cases of congenital Zika syndrome. Most mothers were black (75.8%), between 19 and 35 years old, with secondary education (87.1%), and seven or more prenatal consultations (56.5%). All pregnancies were unique. Most live births were normal delivery (53.2%) and full-term (87.1%), male, with adequate weight (83.9%) and satisfactory Apgar scores in the 1st (83.9%) and 5th minutes (93.5%). Main imaging findings were calcifications, ventriculomegaly and lissencephaly. Georeferencing showed greater distribution of cases in Health Districts II, IV, V and VIII, and concentration of 39% in Special Areas of Social Interest. Considering the outbreak of the disease in the municipality, policies for prevention and qualification of care to children with congenital Zika syndrome is paramount. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-13 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/2834 10.22278/2318-2660.2020.v44.n2.a2834 |
url |
https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/2834 |
identifier_str_mv |
10.22278/2318-2660.2020.v44.n2.a2834 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/2834/2916 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Revista Baiana de Saúde Pública info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Revista Baiana de Saúde Pública |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
SESAB |
publisher.none.fl_str_mv |
SESAB |
dc.source.none.fl_str_mv |
Revista Baiana de Saúde Pública; v. 44 n. 2 (2020); 130-151 2318-2660 0100-0233 10.22278/2318-2660.2020.v44.N2 reponame:Revista Baiana de Saúde Pública (Online) instname:Secretaria da Saúde do Estado da Bahia (Sesab) instacron:IBICT |
instname_str |
Secretaria da Saúde do Estado da Bahia (Sesab) |
instacron_str |
IBICT |
institution |
IBICT |
reponame_str |
Revista Baiana de Saúde Pública (Online) |
collection |
Revista Baiana de Saúde Pública (Online) |
repository.name.fl_str_mv |
Revista Baiana de Saúde Pública (Online) - Secretaria da Saúde do Estado da Bahia (Sesab) |
repository.mail.fl_str_mv |
||saude.revista@saude.ba.gov.br|| rbsp.saude@saude.ba.gov.br |
_version_ |
1798948056231575552 |