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City-Specific Spatiotemporal Infant and Neonatal Mortality Clusters: Links with Socioeconomic and Air Pollution Spatial Patterns in France

Author

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  • Cindy M. Padilla

    (Department of Quantitative Methods in Public Health, EHESP School of Public Health-Sorbonne-Paris Cité, Rennes 35043, France
    IRSET—Research Institute of Environmental and Occupational Health, Rennes 35000, France)

  • Wahida Kihal-Talantikit

    (Department of Environmental and Occupational Health, EHESP School of Public Health, Rennes, Sorbonne-Paris Cité 35043, France)

  • Verónica M. Vieira

    (Program in Public Health, Chao Family Cancer Center, University of Irvine, Irvine, CA 92697, USA)

  • Séverine Deguen

    (IRSET—Research Institute of Environmental and Occupational Health, Rennes 35000, France
    Department of Environmental and Occupational Health, EHESP School of Public Health, Rennes, Sorbonne-Paris Cité 35043, France)

Abstract

Infant and neonatal mortality indicators are known to vary geographically, possibly as a result of socioeconomic and environmental inequalities. To better understand how these factors contribute to spatial and temporal patterns, we conducted a French ecological study comparing two time periods between 2002 and 2009 for three (purposefully distinct) Metropolitan Areas (MAs) and the city of Paris, using the French census block of parental residence as the geographic unit of analysis. We identified areas of excess risk and assessed the role of neighborhood deprivation and average nitrogen dioxide concentrations using generalized additive models to generate maps smoothed on longitude and latitude. Comparison of the two time periods indicated that statistically significant areas of elevated infant and neonatal mortality shifted northwards for the city of Paris, are present only in the earlier time period for Lille MA, only in the later time period for Lyon MA, and decrease over time for Marseille MA. These city-specific geographic patterns in neonatal and infant mortality are largely explained by socioeconomic and environmental inequalities. Spatial analysis can be a useful tool for understanding how risk factors contribute to disparities in health outcomes ranging from infant mortality to infectious disease—a leading cause of infant mortality.

Suggested Citation

  • Cindy M. Padilla & Wahida Kihal-Talantikit & Verónica M. Vieira & Séverine Deguen, 2016. "City-Specific Spatiotemporal Infant and Neonatal Mortality Clusters: Links with Socioeconomic and Air Pollution Spatial Patterns in France," IJERPH, MDPI, vol. 13(6), pages 1-21, June.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:6:p:624-:d:72530
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    References listed on IDEAS

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    Cited by:

    1. Wahida Kihal-Talantikite & Guadalupe Perez Marchetta & Séverine Deguen, 2020. "Infant Mortality Related to NO 2 and PM Exposure: Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 17(8), pages 1-24, April.
    2. Hung Chak Ho & Kevin Ka-Lun Lau & Ruby Yu & Dan Wang & Jean Woo & Timothy Chi Yui Kwok & Edward Ng, 2017. "Spatial Variability of Geriatric Depression Risk in a High-Density City: A Data-Driven Socio-Environmental Vulnerability Mapping Approach," IJERPH, MDPI, vol. 14(9), pages 1-16, August.
    3. Peter Congdon, 2016. "Spatiotemporal Frameworks for Infectious Disease Diffusion and Epidemiology," IJERPH, MDPI, vol. 13(12), pages 1-4, December.
    4. Severine Deguen & Nina Ahlers & Morgane Gilles & Arlette Danzon & Marion Carayol & Denis Zmirou-Navier & Wahida Kihal-Talantikite, 2018. "Using a Clustering Approach to Investigate Socio-Environmental Inequality in Preterm Birth—A Study Conducted at Fine Spatial Scale in Paris (France)," IJERPH, MDPI, vol. 15(9), pages 1-19, August.
    5. Cindy M. Padilla & François Painblanc & Patricia Soler-Michel & Veronica M. Vieira, 2019. "Mapping Variation in Breast Cancer Screening: Where to Intervene?," IJERPH, MDPI, vol. 16(13), pages 1-14, June.

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