Literature DB >> 16917593

[Maternal and child health indicators in Belo Horizonte, Minas Gerais State, Brazil, 2001: an analysis of intra-urban differences].

Amélia Augusta de Lima Friche1, Waleska Teixeira Caiaffa, Cibele Comini César, Lúcia Maria de Figueiredo Goulart, Maria Cristina de Mattos Almeida.   

Abstract

Spatial analysis of health indicators is as an important methodology for detection of intra-urban differences. This study aimed to examine the spatial distribution of all live births in Belo Horizonte, analyzing the presence of spatial clusters of health indicators for newborns and their mothers, using data from the Information System on Live Births. For each area covered by a Primary Health Care Unit, we calculated the indicators using empirical Bayesian methods. For spatial analysis, the indicators obtained from the global Moran (I) index and Local Indicators of Spatial Association (LISA) were used. Analysis using LISA showed the presence of relevant spatial clusters for adolescent mothers and those with low schooling, stillbirths in previous pregnancies, cesarean sections, and low attendance at prenatal care, especially in areas with low socio-demographic characteristics. The methodology adopted was configured as a key instrument for detecting risk areas where clustering occurs. The method can easily be incorporated into health surveillance systems as a mechanism for controlling events related to births in a given area.

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Year:  2006        PMID: 16917593     DOI: 10.1590/s0102-311x2006000900027

Source DB:  PubMed          Journal:  Cad Saude Publica        ISSN: 0102-311X            Impact factor:   1.632


  2 in total

1.  Disaggregating health inequalities within Rio de Janeiro, Brazil, 2002-2010, by applying an urban health inequality index.

Authors:  Martin Bortz; Megumi Kano; Heribert Ramroth; Christovam Barcellos; Scott R Weaver; Richard Rothenberg; Monica Magalhães
Journal:  Cad Saude Publica       Date:  2015-11       Impact factor: 1.632

2.  Maternal health indicators in Brazil: A time series study.

Authors:  Dandara Rayssa Silva Souza; Thiffany Nayara Bento de Morais; Ketyllem Tayanne da Silva Costa; Fábia Barbosa de Andrade
Journal:  Medicine (Baltimore)       Date:  2021-11-05       Impact factor: 1.817

  2 in total

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