Using spatial analysis to identify areas vulnerable to infant mortality.

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  • Additional Information
    • Alternate Title:
      Uso del análisis espacial para determinar las zonas vulnerables a la mortalidad en lactantes.
    • Subject Terms:
    • Author-Supplied Keywords:
      Brazil
      geographic information systems
      Infant mortality
      spatial analysis
      análisis espacial
      Brasil
      Mortalidad infantil
      sistemas de información geográfica
      Language of Keywords: English; Spanish
    • NAICS/Industry Codes:
      323119 Other printing
      424920 Book, Periodical, and Newspaper Merchant Wholesalers
    • 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. [ABSTRACT FROM AUTHOR]
    • Abstract:
      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. [ABSTRACT FROM AUTHOR]
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    • Author Affiliations:
      1Universidade Federal de Pernambuco, Cidade Universitária, Recife, Pernambuco, Brasil
      2Fundação Joaquim Nabuco, Ministério da Educação, Recife, Pernambuco, Brasil
      3Centro de Pesquisas Aggeu Magalhães, Fundação Oswaldo Cruz, Cidade Universitária, Recife, Pernambuco, Brasil
    • ISSN:
      1020-4989
    • Accession Number:
      90208646
  • Citations
    • ABNT:
      RODRIGUES, M. et al. Using spatial analysis to identify areas vulnerable to infant mortality. Pan American Journal of Public Health, [s. l.], v. 34, n. 1, p. 36–40, 2013. Disponível em: http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=her&AN=90208646&authtype=sso&custid=s5834912. Acesso em: 13 ago. 2020.
    • AMA:
      Rodrigues M, Bonfim C, Portugal JL, Dantas Gurgel IG, Medeiros Z. Using spatial analysis to identify areas vulnerable to infant mortality. Pan American Journal of Public Health. 2013;34(1):36-40. Accessed August 13, 2020. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=her&AN=90208646&authtype=sso&custid=s5834912
    • APA:
      Rodrigues, M., Bonfim, C., Portugal, J. L., Dantas Gurgel, I. G., & Medeiros, Z. (2013). Using spatial analysis to identify areas vulnerable to infant mortality. Pan American Journal of Public Health, 34(1), 36–40.
    • Chicago/Turabian: Author-Date:
      Rodrigues, Mirella, Cristine Bonfim, José Luiz Portugal, Idê Gomes Dantas Gurgel, and Zulma Medeiros. 2013. “Using Spatial Analysis to Identify Areas Vulnerable to Infant Mortality.” Pan American Journal of Public Health 34 (1): 36–40. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=her&AN=90208646&authtype=sso&custid=s5834912.
    • Harvard:
      Rodrigues, M. et al. (2013) ‘Using spatial analysis to identify areas vulnerable to infant mortality’, Pan American Journal of Public Health, 34(1), pp. 36–40. Available at: http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=her&AN=90208646&authtype=sso&custid=s5834912 (Accessed: 13 August 2020).
    • Harvard: Australian:
      Rodrigues, M, Bonfim, C, Portugal, JL, Dantas Gurgel, IG & Medeiros, Z 2013, ‘Using spatial analysis to identify areas vulnerable to infant mortality’, Pan American Journal of Public Health, vol. 34, no. 1, pp. 36–40, viewed 13 August 2020, .
    • MLA:
      Rodrigues, Mirella, et al. “Using Spatial Analysis to Identify Areas Vulnerable to Infant Mortality.” Pan American Journal of Public Health, vol. 34, no. 1, July 2013, pp. 36–40. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=her&AN=90208646&authtype=sso&custid=s5834912.
    • Chicago/Turabian: Humanities:
      Rodrigues, Mirella, Cristine Bonfim, José Luiz Portugal, Idê Gomes Dantas Gurgel, and Zulma Medeiros. “Using Spatial Analysis to Identify Areas Vulnerable to Infant Mortality.” Pan American Journal of Public Health 34, no. 1 (July 2013): 36–40. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=her&AN=90208646&authtype=sso&custid=s5834912.
    • Vancouver/ICMJE:
      Rodrigues M, Bonfim C, Portugal JL, Dantas Gurgel IG, Medeiros Z. Using spatial analysis to identify areas vulnerable to infant mortality. Pan American Journal of Public Health [Internet]. 2013 Jul [cited 2020 Aug 13];34(1):36–40. Available from: http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=her&AN=90208646&authtype=sso&custid=s5834912