Trends and spatial distribution of hepatitis B in pregnant women in Brazil
Abstract Objectives: to analyze the trend and spatial distribution of hepatitis B in pregnant women in Brazil. Methods: ecological study based on all notified cases of hepatitis B in pregnant women through the Information System for Notifiable Diseases – Sinan between 2009 and 2018. Hepatitis B vi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Instituto Materno Infantil de Pernambuco
2024-01-01
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| Series: | Revista Brasileira de Saúde Materno Infantil |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292024000100400&lng=en&tlng=en |
| _version_ | 1827386657319419904 |
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| author | Ingrid de Campos Albuquerque Vanessa Moreira da Silva Soeiro Rafael de Abreu Lima Adalgiza de Souza Paiva Ferreira |
| author_facet | Ingrid de Campos Albuquerque Vanessa Moreira da Silva Soeiro Rafael de Abreu Lima Adalgiza de Souza Paiva Ferreira |
| author_sort | Ingrid de Campos Albuquerque |
| collection | DOAJ |
| description | Abstract Objectives: to analyze the trend and spatial distribution of hepatitis B in pregnant women in Brazil. Methods: ecological study based on all notified cases of hepatitis B in pregnant women through the Information System for Notifiable Diseases – Sinan between 2009 and 2018. Hepatitis B virus (HBV) detection rates were calculated in all municipalities. Spatial analysis was performed using the Global Moran Index for global data and local indicators of spatial association (Lisa) for the 5,570 municipalities. For trend analysis by State, the Prais-Winsten generalized linear regression model was used. Results: 15,253 pregnant women with HBV were reported. High detection rates were observed in the municipalities of São Miguel da Boa Vista-SC (68.96/1000 live births (LB)), Araguaiana-MT (68.18/1000 LB), Reserva do Cabaçal-MT (80, 00/1,000 LB), São Geraldo da Piedade-MG (75/1000 LB), Porto Mauá-RS (111, 11/1000 LB), in the respective bienniums. Moran (I) (I=0.056) showed a positive spatial association. In Lisa, 78 municipalities were included in the high-high cluster, 51.28% in the South region and 48 in the low-low cluster with 72.91% in the Southeast. There was an increasing trend in Maranhão (p=0.004) and Pernambuco (p=0.007) and a decrease in Mato Grosso (p=0.012), Paraná (p=0.031) and Santa Catarina (p=0.008). Conclusion: the detection of hepatitis B in pregnant women was observed in most Brazilian municipalities, with an increasing trend in two states and a decrease in three others. |
| first_indexed | 2024-03-08T15:48:39Z |
| format | Article |
| id | doaj.art-5224230350454cfcbfe7d428946e992c |
| institution | Directory Open Access Journal |
| issn | 1806-9304 |
| language | English |
| last_indexed | 2024-03-08T15:48:39Z |
| publishDate | 2024-01-01 |
| publisher | Instituto Materno Infantil de Pernambuco |
| record_format | Article |
| series | Revista Brasileira de Saúde Materno Infantil |
| spelling | doaj.art-5224230350454cfcbfe7d428946e992c2024-01-09T07:43:46ZengInstituto Materno Infantil de PernambucoRevista Brasileira de Saúde Materno Infantil1806-93042024-01-012410.1590/1806-9304202400000091-enTrends and spatial distribution of hepatitis B in pregnant women in BrazilIngrid de Campos Albuquerquehttps://orcid.org/0000-0002-4424-714XVanessa Moreira da Silva Soeirohttps://orcid.org/0000-0002-4299-1637Rafael de Abreu Limahttps://orcid.org/0000-0002-7945-7614Adalgiza de Souza Paiva Ferreirahttps://orcid.org/0000-0002-8003-3333Abstract Objectives: to analyze the trend and spatial distribution of hepatitis B in pregnant women in Brazil. Methods: ecological study based on all notified cases of hepatitis B in pregnant women through the Information System for Notifiable Diseases – Sinan between 2009 and 2018. Hepatitis B virus (HBV) detection rates were calculated in all municipalities. Spatial analysis was performed using the Global Moran Index for global data and local indicators of spatial association (Lisa) for the 5,570 municipalities. For trend analysis by State, the Prais-Winsten generalized linear regression model was used. Results: 15,253 pregnant women with HBV were reported. High detection rates were observed in the municipalities of São Miguel da Boa Vista-SC (68.96/1000 live births (LB)), Araguaiana-MT (68.18/1000 LB), Reserva do Cabaçal-MT (80, 00/1,000 LB), São Geraldo da Piedade-MG (75/1000 LB), Porto Mauá-RS (111, 11/1000 LB), in the respective bienniums. Moran (I) (I=0.056) showed a positive spatial association. In Lisa, 78 municipalities were included in the high-high cluster, 51.28% in the South region and 48 in the low-low cluster with 72.91% in the Southeast. There was an increasing trend in Maranhão (p=0.004) and Pernambuco (p=0.007) and a decrease in Mato Grosso (p=0.012), Paraná (p=0.031) and Santa Catarina (p=0.008). Conclusion: the detection of hepatitis B in pregnant women was observed in most Brazilian municipalities, with an increasing trend in two states and a decrease in three others.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292024000100400&lng=en&tlng=enHepatitis BInformation systemPregnant women |
| spellingShingle | Ingrid de Campos Albuquerque Vanessa Moreira da Silva Soeiro Rafael de Abreu Lima Adalgiza de Souza Paiva Ferreira Trends and spatial distribution of hepatitis B in pregnant women in Brazil Revista Brasileira de Saúde Materno Infantil Hepatitis B Information system Pregnant women |
| title | Trends and spatial distribution of hepatitis B in pregnant women in Brazil |
| title_full | Trends and spatial distribution of hepatitis B in pregnant women in Brazil |
| title_fullStr | Trends and spatial distribution of hepatitis B in pregnant women in Brazil |
| title_full_unstemmed | Trends and spatial distribution of hepatitis B in pregnant women in Brazil |
| title_short | Trends and spatial distribution of hepatitis B in pregnant women in Brazil |
| title_sort | trends and spatial distribution of hepatitis b in pregnant women in brazil |
| topic | Hepatitis B Information system Pregnant women |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292024000100400&lng=en&tlng=en |
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