Spatial analysis of infant mortality and the adequacy of vital information: a proposal for defining priority areas

被引:9
|
作者
Rodrigues, Mirela [1 ]
Bonfim, Cristine [2 ]
Portugal, Jose Luiz [1 ]
de Frias, Paulo Germano [3 ]
Dantas Gurgel, Ide Gomes [4 ]
Costa, Tadeu Rodrigues [1 ]
Medeiros, Zulma [4 ]
机构
[1] Univ Fed Pernambuco, BR-50670901 Recife, PE, Brazil
[2] Fundacao Joaquim Nabuco, Diretoria Pesquisas Sociais, Recife, PE, Brazil
[3] Inst Med Integral Prof Fernando Figueira, Recife, PE, Brazil
[4] Ctr Pesquisas Aggeu Magalhaes, Recife, PE, Brazil
来源
CIENCIA & SAUDE COLETIVA | 2014年 / 19卷 / 07期
关键词
Infant mortality; Information systems; Vital statistics; Spatial analysis; LOW-BIRTH-WEIGHT; CHILD-MORTALITY; NEONATAL-MORTALITY; BRAZIL; INEQUALITIES;
D O I
10.1590/1413-81232014197.18012013
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
This is an ecological study that sought to assess the relationship between the spatial clustering of infant mortality and the adequacy of vital information. The adequacy of information from the Brazilian Live Birth Database (SINASC) and Mortality Database (SIM) were examined using a validated method that uses five indicators calculated by municipality and population size. Municipalities were classified as either having consolidated data, data currently being consolidated, or not having consolidated data. Voronoi polygons were generated for spatial analysis in order to minimize any proximity issues among municipalities. The local Moran index was applied to identify spatial clustering of infant mortality. It was established that 76.2% of all municipalities had consolidated vital data. Infant mortality clustering was seen in 34 municipalities comprising three spatial clusters. An association was also found between the adequacy of vital information and the spatial clustering of infant mortality. Geostatistical techniques proved to have predictive power to identify spatial clustering with consolidated vital information. The approach will contribute to the improvement of data quality and can be used for planning actions seeking to reduce infant mortality.
引用
收藏
页码:2047 / 2054
页数:8
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