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1801/2013 - Spatial analysis of infant mortality and the adequacy of vital information: a proposal for setting priority areas.
Análise espacial da mortalidade infantil e adequação das informações vitais: uma proposta para definição de áreas prioritárias.

Author:

• MIRELLA RODRIGUES - Rodrigues, M. - JABOATAO DOS GUARARAPES, PE - UNIVERSIDADE FEDERAL DE PERNAMBUCO - <mirellarod@hotmail.com>

Co-author(s):

• ZULMA MEDEIROS - MEDEIROS, Z. - Centro de Pesquisas Aggeu Magalhães - CPqAM/FIOCRUZ - <medeiros@cpqam.fiocruz.br >
• TADEU RODRIGUES COSTA - COSTA, T.R. - Secretaria de Saúde do Recife - <tadeudrigues@gmail.com >
• Idê Gomes Dantas Gurgel - Gurgel, I.G.D. - Centro de Pesquisas Aggeu Magalhães - CPqAM/FIOCRUZ - <ideg@cpqam.fiocruz.br>
ORCID: https://orcid.org/0000-0002-2958-683X
• PAULO GERMANO DE FRIAS - FRIAS, P.G. - Instituto de Medicina Integral Prof. Fernando Figueira - <pfrias@surfix.com.br >
• CRISTINE BONFIM - BONFIM, C. - FUNDAJ - <cristine.bonfim@uol.com.br>
• JOSÉ LUIZ PORTUGAL - PORTUGAL, J.L. - Universidade Federal de Pernambuco - <joseluiz.portugal@gmail.com>
ORCID: https://orcid.org/0000-0002-6508-1687

Thematic Area:

Epidemiologia

Abstract:

Ecological study that aimed to assess the relationship between spatial clustering of infant mortality and adequacy of vital information. We examined the adequacy of information from the Brazilian Live Births Database (SINASC) and Mortality Database (SIM) with a validated method that uses five indicators calculated by municipality and population size. Municipalities were classified as either having consolidated data, data being consolidated, or non-consolidated data. For spatial analysis, we generated Voronoi polygons to minimize any proximity issues among municipalities. We applied the local Moran’s index to identify spatial clustering of infant mortality. We found that 76.2% of all municipalities had consolidated vital data. Infant mortality clustering was seen in 34 municipalities comprising three clusters (p< 0.005). We also found an association between adequacy of vital information and spatial clustering of infant mortality (p=0.013). Geostatistical techniques proved to have predictive power to identify spatial clustering with consolidated vital information. This proposed approach can help improving data quality and can be used for planning actions to reduce infant mortality.

Keywords:

Infant mortality Information systems Vital statistics Spatial Analisys

Content:

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Cite

Rodrigues, M., MEDEIROS, Z., COSTA, T.R., Gurgel, I.G.D., FRIAS, P.G., BONFIM, C., PORTUGAL, J.L.. Spatial analysis of infant mortality and the adequacy of vital information: a proposal for setting priority areas.. Cien Saude Colet [periódico na internet] (2013/Sep). [Citado em 15/05/2025]. Está disponível em: http://cienciaesaudecoletiva.com.br/en/articles/spatial-analysis-of-infant-mortality-and-the-adequacy-of-vital-information-a-proposal-for-setting-priority-areas/14309



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