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Using spatial analysis to identify areas vulnerable to infant mortality

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Date
2013
Author
Rodrigues, Mirella
Bonfim, Cristine
Portugal, José Luiz
Gurgel, Idê Gomes Dantas
Medeiros, Zulma
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Abstract
OBJECTIVE: To analyze the spatial distribution of infant mortality and identify clusters with high risk of death in the first year of life. METHODS: The Thiessen (Voronoi) polygon method was used to analyze spatial distribution of the infant mortality rate, calculated by municipality. The triennium 2006 - 2008 was used as a reference to estimate the average infant mortality rate, and the first analysis of the spatial distribution of the rate was performed to test for first-order spatial stationarity. The spatial pattern was then analyzed using Moran's index and G-statistic (α = 5%). RESULTS: The surface projections on trends showed that infant mortality is not constant in space. The Moran index (0.34, P 0.01) and G-statistic (0.03, P 0.01) confirmed a spatial autocorrelation between infant mortality and clusters when the Thiessen polygon method was used. CONCLUSIONS: The Voronoi polygons proved accurate for spatial analysis of infant mortality and were predictive of clusters with high risk of death in the first year of life.(AU)
 
OBJETIVO: Analizar la distribución espacial de la mortalidad en lactantes y determinar los agrupamientos con alto riesgo de muerte en el primer año de vida. MÉTODOS: Se usó el método de los polígonos de Thiessen (Voronoi) para analizar la distribución espacial de la tasa de mortalidad en lactantes, calculada por municipios. Se adoptó como referencia el trienio del 2006 al 2008 para calcular la tasa promedio de mortalidad en lactantes, y se llevó a cabo el primer análisis de la distribución espacial de la tasa con objeto de someterla a prueba en cuanto a estacionariedad espacial de primer orden. A continuación se analizó el modelo espacial usando el índice de Moran y la estadística G (α = 5%). RESULTADOS: Las proyecciones de superficie de tendencias indicaron que la mortalidad en lactantes no es constante en el espacio. El índice de Moran (0,34, P 0,01) y la estadística G (0,03, P 0,01) confirmaron una autocorrelación espacial entre la mortalidad en lactantes y los agrupamientos cuando se utilizó el método de los polígonos de Thiessen. CONCLUSIONES: Los polígonos de Voronoi mostraron precisión en el análisis espacial de la mortalidad en lactantes y fueron predictivos de los agrupamientos con alto riesgo de muerte en el primer año de vida.(AU)
 
Series
Rev Panam Salud Publica;34(1),jul. 2013
Subject
Infant mortality; Spatial analysis; Geographic Information Systems; Brazil; Mortalidad infantil; Análisis Espacial; Sistemas de información geográfica; Brasil; Mortalidade Infantil; Análise Espacial; Brasil; Sistemas de Informação Geográfica; População Urbana
URI
http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S1020-49892013000700005
https://iris.paho.org/handle/10665.2/9156
Citation
Rodrigues, Mirella,Bonfim, Cristine,Portugal, José Luiz,Gurgel, Idê Gomes Dantas,Medeiros, Zulma (2013) Using spatial analysis to identify areas vulnerable to infant mortality. Rev Panam Salud Publica;34(1) 36-40,jul. 2013. Retrieved from http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S1020-49892013000700005
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