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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  • [22] Analysis of the spatial distribution of infant mortality by cause of death in Austria in 1984 to 2006
    Thomas Waldhoer
    Martin Wald
    Harald Heinzl
    [J]. International Journal of Health Geographics, 7
  • [23] Association between infant mortality and parental educational level: An analysis of data from Vital Statistics and Census in Japan
    Okui, Tasuku
    [J]. PLOS ONE, 2023, 18 (06):
  • [24] Study on geographic disaster information monitoring in sensitive areas based on spatial analysis
    Mo C.
    Wu F.
    Chen L.
    [J]. International Journal of Information and Communication Technology, 2021, 19 (01) : 1 - 15
  • [25] Geovisualization and Spatial Analysis of Infant Mortality and Preterm Birth in Ohio, 2008-2015: Opportunities to Enhance Spatial Thinking
    Root, Elisabeth Dowling
    Bailey, Emelie D.
    Gorham, Tyler
    Browning, Christopher
    Song, Chi
    Salsberry, Pamela
    [J]. PUBLIC HEALTH REPORTS, 2020, 135 (04) : 472 - 482
  • [26] Infant mortality from congenital malformations in Chile: temporal and spatial analysis, 1997-2011
    Edgardo Dipierri, Jose
    Elena Acevedo, Nieves
    Adrian Bronberg, Ruben
    [J]. REVISTA PANAMERICANA DE SALUD PUBLICA-PAN AMERICAN JOURNAL OF PUBLIC HEALTH, 2015, 38 (05): : 380 - 387
  • [27] Spatial Analysis of Infant Mortality in Peninsular Malaysia over Three Decades Using Mixture Models
    Rahman, Nuzlinda Abdul
    Jemain, Abdul Aziz
    [J]. SAINS MALAYSIANA, 2013, 42 (07): : 1003 - 1010
  • [28] Spatial and temporal analysis of infant mortality from congenital malformations in Brazil (1996-2010)
    Bronberg R.
    Schuler-Faccini L.
    Ramallo V.
    Alfaro E.
    Dipierri J.
    [J]. Journal of Community Genetics, 2014, 5 (3) : 269 - 282
  • [29] Anencephaly related infant mortality in Argentina. Spatial and temporal analysis (1998-2007)
    Bronberg, Ruben
    Alfaro, Emma
    Chaves, Estela
    Andrade, Alberto
    Gili, Juan
    Lopez Camelo, Jorge
    Dipierri, Jose
    [J]. ARCHIVOS ARGENTINOS DE PEDIATRIA, 2011, 109 (02): : 117 - 123
  • [30] The impact of neighborhood to industrial areas on health in Uzbekistan: an ecological analysis of congenital diseases, infant mortality, and lung cancer
    Aripov, Timur
    Blettner, Maria
    Gorbunova, Irina
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (14) : 17243 - 17249