Mortalidad infantil y marginación urbana: Análisis espacial de su relación en una ciudad de tamah̃o medio del noroeste mexicano

Translated title of the contribution: Infant mortality and urban marginalization: A spatial analysis of their relationship in a medium-sized city in northwest Mexico

Gerardo Alvarez, Francisco Lara-Valencia, Sioban D. Harlow, Catalina Denman

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Objective. To identify areas with high risk of infant mortality and any possible correlation with the population's socioeconomic status through the use of a geographic information system and spacial analysis techniquesMethods. An exploratory ecologic study was conducted in Hermosillo, the capital of Sonora, Mexico, in 2000-2003. The urban marginalization index (UMI) and the infant mortality rate (IMR) were determined for each of the city's basic geostatistical areas (BGA). The UMI and IMR were statistically calculated to identify geographic areas in which they were concentrated and todetermine the degree of spatial correlation between these indicators. To determine the general spatial autocorrelation and spatial clustering of UMIs and IMRs within the city and the BGAs, Morans I index, Ipop statistics, and Besag and Newell's method wereemployed. ResultsThe mean IMR was 14.3 per 1 000 live births, higher in the BGAs with greater social marginalization (16.2 per 1 000) and lower in those with less (11.7 per 1 000). The UMI range was -3.1-6.6 (maximum: 4.3; minimum: -2.7). Autocorrelationwas found among the UMI (Moran I = 0.62), with significant clustering in the city's northwest, northeast, and southeast parts. Local clustering of high IMRs was found in Hermosillo's central and western areas, albeit without autocorrelation (Moran I = -0.007). High risk areas (high IMR and high UMI) were found in the city's northwestern section. ConclusionsSpatial clusters with high IMR were found in socially marginalized areas in the northwestern part of Hermosillo, a city of medium size located in north-western Mexico. These results, reached through a combination of spatial analysis techniques and geographic information tools can help guide interventions specifically designed for these high risk residential areas.

Original languageSpanish
Pages (from-to)31-38
Number of pages8
JournalRevista Panamericana de Salud Publica/Pan American Journal of Public Health
Volume26
Issue number1
StatePublished - Jul 2009

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Spatial Analysis
Infant Mortality
Mexico
Mortality
Cluster Analysis
Social Marginalization
Geographic Information Systems
Live Birth
Systems Analysis
Social Class
Economics
Population

Keywords

  • Infant mortality, socioeconomic factors, geographic localization of risk, Mexico

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

Cite this

@article{f69a74f7bff3418e845bb5df86c9a6e4,
title = "Mortalidad infantil y marginaci{\'o}n urbana: An{\'a}lisis espacial de su relaci{\'o}n en una ciudad de tamah̃o medio del noroeste mexicano",
abstract = "Objective. To identify areas with high risk of infant mortality and any possible correlation with the population's socioeconomic status through the use of a geographic information system and spacial analysis techniquesMethods. An exploratory ecologic study was conducted in Hermosillo, the capital of Sonora, Mexico, in 2000-2003. The urban marginalization index (UMI) and the infant mortality rate (IMR) were determined for each of the city's basic geostatistical areas (BGA). The UMI and IMR were statistically calculated to identify geographic areas in which they were concentrated and todetermine the degree of spatial correlation between these indicators. To determine the general spatial autocorrelation and spatial clustering of UMIs and IMRs within the city and the BGAs, Morans I index, Ipop statistics, and Besag and Newell's method wereemployed. ResultsThe mean IMR was 14.3 per 1 000 live births, higher in the BGAs with greater social marginalization (16.2 per 1 000) and lower in those with less (11.7 per 1 000). The UMI range was -3.1-6.6 (maximum: 4.3; minimum: -2.7). Autocorrelationwas found among the UMI (Moran I = 0.62), with significant clustering in the city's northwest, northeast, and southeast parts. Local clustering of high IMRs was found in Hermosillo's central and western areas, albeit without autocorrelation (Moran I = -0.007). High risk areas (high IMR and high UMI) were found in the city's northwestern section. ConclusionsSpatial clusters with high IMR were found in socially marginalized areas in the northwestern part of Hermosillo, a city of medium size located in north-western Mexico. These results, reached through a combination of spatial analysis techniques and geographic information tools can help guide interventions specifically designed for these high risk residential areas.",
keywords = "Infant mortality, socioeconomic factors, geographic localization of risk, Mexico",
author = "Gerardo Alvarez and Francisco Lara-Valencia and Harlow, {Sioban D.} and Catalina Denman",
year = "2009",
month = "7",
language = "Spanish",
volume = "26",
pages = "31--38",
journal = "Revista Panamericana de Salud Publica/Pan American Journal of Public Health",
issn = "1020-4989",
publisher = "Pan American Health Organization",
number = "1",

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TY - JOUR

T1 - Mortalidad infantil y marginación urbana

T2 - Análisis espacial de su relación en una ciudad de tamah̃o medio del noroeste mexicano

AU - Alvarez, Gerardo

AU - Lara-Valencia, Francisco

AU - Harlow, Sioban D.

AU - Denman, Catalina

PY - 2009/7

Y1 - 2009/7

N2 - Objective. To identify areas with high risk of infant mortality and any possible correlation with the population's socioeconomic status through the use of a geographic information system and spacial analysis techniquesMethods. An exploratory ecologic study was conducted in Hermosillo, the capital of Sonora, Mexico, in 2000-2003. The urban marginalization index (UMI) and the infant mortality rate (IMR) were determined for each of the city's basic geostatistical areas (BGA). The UMI and IMR were statistically calculated to identify geographic areas in which they were concentrated and todetermine the degree of spatial correlation between these indicators. To determine the general spatial autocorrelation and spatial clustering of UMIs and IMRs within the city and the BGAs, Morans I index, Ipop statistics, and Besag and Newell's method wereemployed. ResultsThe mean IMR was 14.3 per 1 000 live births, higher in the BGAs with greater social marginalization (16.2 per 1 000) and lower in those with less (11.7 per 1 000). The UMI range was -3.1-6.6 (maximum: 4.3; minimum: -2.7). Autocorrelationwas found among the UMI (Moran I = 0.62), with significant clustering in the city's northwest, northeast, and southeast parts. Local clustering of high IMRs was found in Hermosillo's central and western areas, albeit without autocorrelation (Moran I = -0.007). High risk areas (high IMR and high UMI) were found in the city's northwestern section. ConclusionsSpatial clusters with high IMR were found in socially marginalized areas in the northwestern part of Hermosillo, a city of medium size located in north-western Mexico. These results, reached through a combination of spatial analysis techniques and geographic information tools can help guide interventions specifically designed for these high risk residential areas.

AB - Objective. To identify areas with high risk of infant mortality and any possible correlation with the population's socioeconomic status through the use of a geographic information system and spacial analysis techniquesMethods. An exploratory ecologic study was conducted in Hermosillo, the capital of Sonora, Mexico, in 2000-2003. The urban marginalization index (UMI) and the infant mortality rate (IMR) were determined for each of the city's basic geostatistical areas (BGA). The UMI and IMR were statistically calculated to identify geographic areas in which they were concentrated and todetermine the degree of spatial correlation between these indicators. To determine the general spatial autocorrelation and spatial clustering of UMIs and IMRs within the city and the BGAs, Morans I index, Ipop statistics, and Besag and Newell's method wereemployed. ResultsThe mean IMR was 14.3 per 1 000 live births, higher in the BGAs with greater social marginalization (16.2 per 1 000) and lower in those with less (11.7 per 1 000). The UMI range was -3.1-6.6 (maximum: 4.3; minimum: -2.7). Autocorrelationwas found among the UMI (Moran I = 0.62), with significant clustering in the city's northwest, northeast, and southeast parts. Local clustering of high IMRs was found in Hermosillo's central and western areas, albeit without autocorrelation (Moran I = -0.007). High risk areas (high IMR and high UMI) were found in the city's northwestern section. ConclusionsSpatial clusters with high IMR were found in socially marginalized areas in the northwestern part of Hermosillo, a city of medium size located in north-western Mexico. These results, reached through a combination of spatial analysis techniques and geographic information tools can help guide interventions specifically designed for these high risk residential areas.

KW - Infant mortality, socioeconomic factors, geographic localization of risk, Mexico

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