Spatial patterns of fetal mortality: scenario before and after the implementation of surveillance
Abstract Objectives: to analyze the spatial distribution of fetal deaths before and after implementation of surveillance for this event in the city of Recife, in the Northeast Region of Brazil. Methods: an ecological study whose spatial analysis unit was the 94 neighborhoods. The gross fetal morta...
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Format: | Article |
Language: | English |
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Instituto Materno Infantil de Pernambuco
2021-10-01
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Series: | Revista Brasileira de Saúde Materno Infantil |
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Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292021000500889&tlng=pt |
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author | Maria Carolina Lyra da Silva Conceição Maria de Oliveira Amanda Priscila de Santana Cabral Silva Cristine Vieira do Bonfim |
author_facet | Maria Carolina Lyra da Silva Conceição Maria de Oliveira Amanda Priscila de Santana Cabral Silva Cristine Vieira do Bonfim |
author_sort | Maria Carolina Lyra da Silva |
collection | DOAJ |
description | Abstract Objectives: to analyze the spatial distribution of fetal deaths before and after implementation of surveillance for this event in the city of Recife, in the Northeast Region of Brazil. Methods: an ecological study whose spatial analysis unit was the 94 neighborhoods. The gross fetal mortality rates were calculated and the local empirical Bayesian estimator was adopted to smooth out random fluctuations of such rates. To analyze the spatial autocorrelation, the Global Moran’s Index was used, and spatial clusters were located by the Local Moran’s Index. Results: during the period before implementation of death surveillance, 1,356 fetal deaths were reported, a coefficient of 9.9 deaths per thousand births. During the second period, 1,325 fetal deaths occurred, a coefficient of 9.6 deaths per thousand births. The Global Moran’s Indexes (I) were I=0.6 and I=0.4 for the first and second periods, respectively, with statistical significance (p<0.05). For both periods analyzed, spatial clusters of high-risk neighborhoods were identified in the northern and eastern regions of the city. Conclusion: the spatial analysis indicated areas that persist as priorities for planning surveillance and health assistance actions to reduce fetal mortality. |
first_indexed | 2024-12-20T15:28:52Z |
format | Article |
id | doaj.art-39518071b85d4727b98cf2d1857cc867 |
institution | Directory Open Access Journal |
issn | 1806-9304 |
language | English |
last_indexed | 2024-12-20T15:28:52Z |
publishDate | 2021-10-01 |
publisher | Instituto Materno Infantil de Pernambuco |
record_format | Article |
series | Revista Brasileira de Saúde Materno Infantil |
spelling | doaj.art-39518071b85d4727b98cf2d1857cc8672022-12-21T19:35:41ZengInstituto Materno Infantil de PernambucoRevista Brasileira de Saúde Materno Infantil1806-93042021-10-0121388989510.1590/1806-93042021000300009Spatial patterns of fetal mortality: scenario before and after the implementation of surveillanceMaria Carolina Lyra da Silvahttps://orcid.org/0000-0002-5202-1300Conceição Maria de Oliveirahttps://orcid.org/0000-0002-2220-5782Amanda Priscila de Santana Cabral Silvahttps://orcid.org/0000-0003-2337-9925Cristine Vieira do Bonfimhttps://orcid.org/0000-0002-4495-9673Abstract Objectives: to analyze the spatial distribution of fetal deaths before and after implementation of surveillance for this event in the city of Recife, in the Northeast Region of Brazil. Methods: an ecological study whose spatial analysis unit was the 94 neighborhoods. The gross fetal mortality rates were calculated and the local empirical Bayesian estimator was adopted to smooth out random fluctuations of such rates. To analyze the spatial autocorrelation, the Global Moran’s Index was used, and spatial clusters were located by the Local Moran’s Index. Results: during the period before implementation of death surveillance, 1,356 fetal deaths were reported, a coefficient of 9.9 deaths per thousand births. During the second period, 1,325 fetal deaths occurred, a coefficient of 9.6 deaths per thousand births. The Global Moran’s Indexes (I) were I=0.6 and I=0.4 for the first and second periods, respectively, with statistical significance (p<0.05). For both periods analyzed, spatial clusters of high-risk neighborhoods were identified in the northern and eastern regions of the city. Conclusion: the spatial analysis indicated areas that persist as priorities for planning surveillance and health assistance actions to reduce fetal mortality.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292021000500889&tlng=ptFetal mortalitySpatial analysisFetal deathVital statistics |
spellingShingle | Maria Carolina Lyra da Silva Conceição Maria de Oliveira Amanda Priscila de Santana Cabral Silva Cristine Vieira do Bonfim Spatial patterns of fetal mortality: scenario before and after the implementation of surveillance Revista Brasileira de Saúde Materno Infantil Fetal mortality Spatial analysis Fetal death Vital statistics |
title | Spatial patterns of fetal mortality: scenario before and after the implementation of surveillance |
title_full | Spatial patterns of fetal mortality: scenario before and after the implementation of surveillance |
title_fullStr | Spatial patterns of fetal mortality: scenario before and after the implementation of surveillance |
title_full_unstemmed | Spatial patterns of fetal mortality: scenario before and after the implementation of surveillance |
title_short | Spatial patterns of fetal mortality: scenario before and after the implementation of surveillance |
title_sort | spatial patterns of fetal mortality scenario before and after the implementation of surveillance |
topic | Fetal mortality Spatial analysis Fetal death Vital statistics |
url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292021000500889&tlng=pt |
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